diff --git a/DESCRIPTION b/DESCRIPTION
index 7b04e1a4d..ad35c0bd8 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -19,7 +19,7 @@ Authors@R: c(person("Gustav", "Delius", email="gustav.delius@york.ac.uk",
                     comment = c(ORCID = "0000-0002-8478-3430")),
              person("Richard", "Southwell", email="richard.southwell@york.ac.uk",
                     role=c("ctb", "cph")))
-Version: 2.5.4.9124
+Version: 2.5.4.9125
 License: GPL-3
 Imports:
     assertthat,
@@ -36,7 +36,8 @@ Imports:
     Rcpp,
     reshape2,
     rlang,
-    lifecycle
+    lifecycle,
+    pak
 LinkingTo: Rcpp
 Depends:
     R (>= 3.5)
@@ -56,6 +57,7 @@ Collate:
     'helpers.R'
     'MizerParams-class.R'
     'MizerSim-class.R'
+    'registerExtensions.R'
     'ArraySpeciesBySize-class.R'
     'ArraySpeciesByTime-class.R'
     'background.R'
diff --git a/NAMESPACE b/NAMESPACE
index c485bc6ec..5081f7dfa 100644
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -134,12 +134,27 @@ S3method(print,summary.ArraySpeciesBySize)
 S3method(print,summary.ArraySpeciesByTime)
 S3method(project,MizerParams)
 S3method(project,MizerSim)
+S3method(projectDiffusion,MizerParams)
+S3method(projectEGrowth,MizerParams)
+S3method(projectERepro,MizerParams)
+S3method(projectEReproAndGrowth,MizerParams)
+S3method(projectEncounter,MizerParams)
+S3method(projectFMort,MizerParams)
+S3method(projectFeedingLevel,MizerParams)
+S3method(projectMort,MizerParams)
+S3method(projectPredMort,MizerParams)
+S3method(projectPredRate,MizerParams)
+S3method(projectRDD,MizerParams)
+S3method(projectRDI,MizerParams)
+S3method(projectRates,MizerParams)
+S3method(projectResourceMort,MizerParams)
 S3method(projectToSteady,MizerParams)
 S3method(project_simple,MizerParams)
 S3method(removeSpecies,MizerParams)
 S3method(renameGear,MizerParams)
 S3method(renameSpecies,MizerParams)
 S3method(saveParams,MizerParams)
+S3method(saveSim,MizerSim)
 S3method(scaleModel,MizerParams)
 S3method(scaleRates,MizerParams)
 S3method(selectivity,MizerParams)
@@ -217,6 +232,8 @@ export(calibrateBiomass)
 export(calibrateNumber)
 export(calibrateYield)
 export(catchability)
+export(clearExtensionChain)
+export(coerceToExtensionClass)
 export(compareParams)
 export(completeSpeciesParams)
 export(constantEggRDI)
@@ -283,6 +300,7 @@ export(getRDD)
 export(getRDI)
 export(getRateFunction)
 export(getRates)
+export(getRegisteredExtensions)
 export(getReproductionLevel)
 export(getReproductionProportion)
 export(getRequiredRDD)
@@ -377,10 +395,27 @@ export(plotlyYieldObservedVsModel)
 export(power_law_pred_kernel)
 export(pred_kernel)
 export(project)
+export(projectDiffusion)
+export(projectEGrowth)
+export(projectERepro)
+export(projectEReproAndGrowth)
+export(projectEncounter)
+export(projectFMort)
+export(projectFeedingLevel)
+export(projectMort)
+export(projectPredMort)
+export(projectPredRate)
+export(projectRDD)
+export(projectRDI)
+export(projectRates)
+export(projectResourceMort)
 export(projectToSteady)
 export(project_n)
 export(project_simple)
 export(readParams)
+export(readSim)
+export(registerExtension)
+export(registerExtensions)
 export(removeBackgroundSpecies)
 export(removeComponent)
 export(removeSpecies)
@@ -396,6 +431,7 @@ export(resource_params)
 export(resource_rate)
 export(resource_semichemostat)
 export(saveParams)
+export(saveSim)
 export(scaleModel)
 export(scaleRates)
 export(search_vol)
@@ -464,6 +500,7 @@ importFrom(stats,lm)
 importFrom(stats,mvfft)
 importFrom(stats,pnorm)
 importFrom(stats,runif)
+importFrom(stats,setNames)
 importFrom(utils,data)
 importFrom(utils,globalVariables)
 importFrom(utils,modifyList)
diff --git a/NEWS.md b/NEWS.md
index c46313aae..3be3714a8 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -1,4 +1,49 @@
-# Development version 2.5.4.9102
+# Development version (will become mizer 3.0.0)
+
+- `setRateFunction()` now works correctly even when an extension package is
+  loaded and S3 dispatch is active. Previously, custom rate functions registered
+  via `setRateFunction()` were silently ignored whenever `usesExtensionDispatch()`
+  returned `TRUE`. The fix resolves which functions to call once before the
+  time-step loop (in `projectRateFunctions()`), so there is no per-step overhead.
+
+- `setResource()` now allows `resource_level = 1`. When balancing would
+  otherwise divide by zero because the resource capacity equals the current
+  resource abundance at positive consumption, the capacity is increased
+  slightly with a warning instead of failing early.
+
+- Bug fix: `getFMort()` on a `MizerSim` object was silently dropping the
+  component names from `n_other` when passing it to the rate function and its
+  dependencies (`getEGrowth()`, `getPredMort()`). This caused failures whenever
+  the rate functions accessed `n_other` by component name (e.g.
+  `n_other[["resource"]]`). The internal implementation has also been
+  refactored to use the same `plyr::aaply` pattern as `getFeedingLevel()` and
+  `getPredMort()`, keeping the three methods consistent.
+
+- Added first-stage infrastructure for composable extension chains:
+  `registerExtensions()`, `getRegisteredExtensions()`, and
+  `coerceToExtensionClass()`. Extension classes are marker classes for S3
+  dispatch, with `MizerSim` deriving its extension chain from
+  `sim@params@extensions`.
+
+- `saveParams()` now serialises extension objects as plain `MizerParams`
+  objects while preserving their extension chain, and `readParams()` restores
+  the appropriate extension class. New `saveSim()` and `readSim()` helpers
+  provide the same lifecycle for `MizerSim` objects.
+
+- Added `projectRates()` and `projectEncounter()` as the first S3 hooks in the
+  extension-chain rate pipeline. Extension-aware projections dispatch through
+  `projectRates()`, while models without extensions keep using the pre-resolved
+  `mizerRates()` pipeline directly.
+
+- Added S3 projection hooks for the remaining standard mizer rate functions.
+  Extension-aware projections now call `projectFeedingLevel()`,
+  `projectEReproAndGrowth()`, `projectERepro()`, `projectEGrowth()`,
+  `projectDiffusion()`, `projectPredRate()`, `projectPredMort()`,
+  `projectFMort()`, `projectMort()`, `projectRDI()` and
+  `projectRDD()` and `projectResourceMort()` directly.
+
+- Extensions that do not provide a marker class now remain metadata-only and do
+  not trigger the S3 projection-rate dispatch path.
 
 - New `scaleRates(params, factor)` function that rescales all rates in a model
   by a given factor. This is equivalent to a time rescaling: it speeds up or
@@ -27,7 +72,7 @@
   applies them via `setColours()` and `setLinetypes()` so added components can
   be styled directly in plots.
 
-- New "Extending mizer" vignette (`vignette("extensions")`) documents when
+- New "Extending mizer" vignette (`vignette("extending-mizer")`) documents when
   to use `setRateFunction()`, `setComponent()`, and `customFunction()`,
   summarises the required signatures and return shapes for custom rate
   functions, and gives worked examples for both a custom encounter function
@@ -161,6 +206,8 @@
 
 - `getMeanMaxWeight()` now correctly applies the species selector to the
   denominator.
+- `upgradeParams()` now preserves `MizerParams` subclasses and their extra
+  slots when upgrading older objects.
 - `plotDataFrame()` now correctly applies custom log-scale x breaks.
 - `get_size_range_array()` no longer gives an error when no size brackets are
   selected.
diff --git a/R/MizerParams-class.R b/R/MizerParams-class.R
index d739d8f3a..4ff19f77a 100644
--- a/R/MizerParams-class.R
+++ b/R/MizerParams-class.R
@@ -278,10 +278,12 @@ validMizerParams <- function(object) {
 #' @slot metadata A list with metadata information. See [setMetadata()].
 #' @slot mizer_version The package version of mizer (as returned by
 #'   `packageVersion("mizer")`) that created or upgraded the model.
-#' @slot extensions A named vector of strings where each name is the name of
-#'    and extension package needed to run the model and each value is a string
-#'    giving the information that the remotes package needs to install the
-#'    correct version of the extension package, see https://remotes.r-lib.org/.
+#' @slot extensions A named vector of strings describing the extension chain
+#'   needed to run the model. The names are extension identifiers and S4 marker
+#'   class names. The order is the S3 dispatch order, from outermost to
+#'   innermost extension. The values are version strings, installation
+#'   specifications, or `NA_character_`. Extension subclasses are marker
+#'   classes only and must not add slots.
 #' @slot time_created A POSIXct date-time object with the creation time.
 #' @slot time_modified A POSIXct date-time object with the last modified time.
 #' @slot w The size grid for the fish part of the spectrum. An increasing
@@ -975,6 +977,7 @@ validParams.MizerParams <- function(params, info_level = 3) {
     if (!all(is.finite(params@intake_max) | is.infinite(params@intake_max))) {
         stop("intake_max must contain finite or infinite numeric values only")
     }
+    params <- coerceToExtensionClass(params)
     validObject(params)
     params
 }
diff --git a/R/MizerSim-class.R b/R/MizerSim-class.R
index a32d633e7..06a4f60e7 100644
--- a/R/MizerSim-class.R
+++ b/R/MizerSim-class.R
@@ -151,6 +151,9 @@ valid_MizerSim <- function(object) {
 #' with [validSim()].
 #'
 #' @slot params An object of type \linkS4class{MizerParams}.
+#'   If this params object uses extensions, the `MizerSim` object uses the same
+#'   extension chain via `params@extensions`; `MizerSim` has no separate
+#'   extension slot.
 #' @slot n Three-dimensional array (time x species x size) that stores the
 #'   projected community number densities.
 #' @slot n_pp An array (time x size) that stores the projected resource number
@@ -238,7 +241,7 @@ MizerSim <- function(params, t_dimnames = NA, t_max = 100, t_save = 1) {
                n_pp = array_n_pp,
                n_other = list_n_other,
                effort = array_effort)
-    return(sim)
+    coerceToExtensionClass(sim)
 }
 
 #' Validate MizerSim object and upgrade if necessary
@@ -300,6 +303,7 @@ validSim.MizerSim <- function(sim) {
         }
         sim <- truncateSim(sim, end_time = max_t)
     }
+    sim <- coerceToExtensionClass(sim)
     validObject(sim)
     sim
 }
diff --git a/R/customFunction.R b/R/customFunction.R
index 71bd6ef10..0f7802642 100644
--- a/R/customFunction.R
+++ b/R/customFunction.R
@@ -35,6 +35,8 @@
 #' @param name Name of mizer function to replace
 #' @param fun The custom function to use as replacement
 #' @return No return value, called for side effects
+#' @seealso "Extending mizer":
+#'   \code{vignette("extending-mizer", package = "mizer")}
 #' @export
 #' @examples
 #' \dontrun{
diff --git a/R/diffusion.R b/R/diffusion.R
index 3b803e0e3..2078eb9d4 100644
--- a/R/diffusion.R
+++ b/R/diffusion.R
@@ -36,14 +36,27 @@ getDiffusion.MizerParams <- function(params, n = initialN(params),
                                      t = 0,
                                      ...) {
     params <- validParams(params)
-    f <- get(params@rates_funcs$Diffusion)
-    d <- f(params, n = n, n_pp = n_pp, n_other = n_other, t = t,
-           feeding_level = getFeedingLevel(params, n = n, n_pp = n_pp,
-                                           n_other = n_other, t = t), ...)
+    feeding_level <- getFeedingLevel(params, n = n, n_pp = n_pp,
+                                     n_other = n_other, t = t)
+    if (usesExtensionDispatch(params)) {
+        d <- projectDiffusion(params, n = n, n_pp = n_pp, n_other = n_other,
+                              t = t, feeding_level = feeding_level, ...)
+    } else {
+        f <- get(params@rates_funcs$Diffusion)
+        d <- f(params, n = n, n_pp = n_pp, n_other = n_other, t = t,
+               feeding_level = feeding_level, ...)
+    }
     ArraySpeciesBySize(d, value_name = "Diffusion rate",
                        units = "g^2/year", params = params)
 }
 
+#' @name mizerDiffusion
+#' @rdname mizerDiffusion
+#' @export
+projectDiffusion <- function(params, n, n_pp, n_other, t = 0,
+                             feeding_level, ...) {
+    UseMethod("projectDiffusion")
+}
 
 #' Calculate diffusion rate
 #'
@@ -69,8 +82,10 @@ getDiffusion.MizerParams <- function(params, n = initialN(params),
 #' @param ... Unused
 #'
 #' @return A two dimensional array (species x size) holding the diffusion rate.
+#' @rdname mizerDiffusion
 #' @export
-mizerDiffusion <- function(params, n, n_pp, n_other, t, feeding_level, ...) {
+projectDiffusion.MizerParams <- function(params, n, n_pp, n_other, t = 0,
+                                         feeding_level, ...) {
 
     if (missing(feeding_level)) {
         feeding_level <- getFeedingLevel(params, n = n, n_pp = n_pp,
@@ -115,6 +130,10 @@ mizerDiffusion <- function(params, n, n_pp, n_other, t, feeding_level, ...) {
     return(D)
 }
 
+#' @rdname mizerDiffusion
+#' @export
+mizerDiffusion <- projectDiffusion.MizerParams
+
 
 #' Get or set the use_predation_diffusion flag
 #'
diff --git a/R/extension.R b/R/extension.R
index d0d18dd43..1ff64e8c6 100644
--- a/R/extension.R
+++ b/R/extension.R
@@ -1,5 +1,15 @@
-# Helper called by setRateFunction() to verify the registered function returns
-# an array (or vector/list) of the correct dimensions.
+#' Check that a rate function returns the correct output dimensions
+#'
+#' Called by [setRateFunction()] to verify that a candidate rate function
+#' returns an array (or vector/list) of the correct dimensions for the
+#' requested rate.
+#'
+#' @param params A MizerParams object
+#' @param rate Name of the rate being replaced, e.g. `"Encounter"`.
+#' @param fun Name of the candidate function to validate.
+#' @return Invisibly `NULL`. Called for its side-effect of stopping with an
+#'   informative error if the output has the wrong shape.
+#' @keywords internal
 .checkRateFunctionOutput <- function(params, rate, fun) {
     no_sp  <- nrow(params@species_params)
     no_w   <- length(params@w)
@@ -198,7 +208,10 @@
 #' @param rate Name of the rate for which a new function is to be set.
 #' @param fun Name of the function to use to calculate the rate.
 #' @return For `setRateFunction()`: An updated MizerParams object
+#' @seealso "Extending mizer":
+#'   \code{vignette("extending-mizer", package = "mizer")}
 #' @export
+#' @family extension tools
 setRateFunction <- function(params, rate, fun) {
     params <- validParams(params)
     assert_that(is.string(rate),
@@ -295,7 +308,10 @@ other_params <- function(params) {
 #' @param linetype Line type to use for the component in plots. Defaults to
 #'   `"solid"`.
 #' @return The updated MizerParams object
+#' @seealso "Extending mizer":
+#'   \code{vignette("extending-mizer", package = "mizer")}
 #' @export
+#' @family extension tools
 setComponent <- function(params, component, initial_value,
                          dynamics_fun,
                          encounter_fun, mort_fun,
@@ -348,17 +364,16 @@ removeComponent <- function(params, component) {
 }
 
 
-#' Get information about other ecosystem components
-#'
 #' @param params A MizerParams object
 #' @param component Name of the component of interest. If missing, a list of
 #'   all components will be returned.
-#' @return A list with the entries `initial_value`, `dynamics_fun`,
+#' @return For `getComponent`: A list with the entries `initial_value`, `dynamics_fun`,
 #'   `encounter_fun`, `mort_fun`, `component_params` for the requested
 #'   component. If the requested component does not exist, `NULL` is returned.
 #'   If no `component` argument is given, then a list of lists for all
 #'   components is returned.
 #' @export
+#' @rdname setComponent
 getComponent <- function(params, component) {
     assert_that(is(params, "MizerParams"))
     if (missing(component)) {
@@ -387,6 +402,7 @@ getComponent <- function(params, component) {
 #' @param value A named list with the initial values of other ecosystem
 #'   components
 #' @export
+#' @family extension tools
 #' @seealso [initialNResource()], [initialN()]
 `initialNOther<-` <- function(params, value) {
     assert_that(is(params, "MizerParams"),
@@ -406,8 +422,8 @@ getComponent <- function(params, component) {
     params
 }
 
-#' @param object An object of class MizerParams or MizerSim
 #' @rdname initialNOther-set
+#' @param object An object of class MizerParams or MizerSim
 #' @return A named list with the initial values of other ecosystem
 #'   components
 #' @export
@@ -428,9 +444,10 @@ initialNOther <- function(object) {
 #' Fetch the simulation results for other components over time.
 #'
 #' @param sim A MizerSim object
-#' @return A list array indexed by time and component that stores the projected
+#' @return For `NOther`: A list array indexed by time and component that stores the projected
 #'   values for other ecosystem components.
 #' @export
+#' @family extension tools
 NOther <- function(sim) {
     return(sim@n_other)
 }
@@ -439,9 +456,10 @@ NOther <- function(sim) {
 #' Values of other ecosystem components at end of simulation
 #'
 #' @param sim A MizerSim object
-#' @return A named list holding the values of other ecosystem components at the
+#' @return For `finalNOther`: A named list holding the values of other ecosystem components at the
 #'   end of the simulation
 #' @export
+#' @rdname NOther
 finalNOther <- function(sim) {
     assert_that(is(sim, "MizerSim"))
     n_other <- sim@n_other[dim(sim@n)[[1]], ]
diff --git a/R/manipulate_species.R b/R/manipulate_species.R
index 1c586be96..ef7b2cc3a 100644
--- a/R/manipulate_species.R
+++ b/R/manipulate_species.R
@@ -24,6 +24,12 @@
 #'   fished by already existing gear. Should not include effort values
 #'   for existing gear. New gear for which no effort is set via this
 #'   vector will have an initial effort of 0.
+#' @param steady If `TRUE` (default), runs [steadySingleSpecies()] to
+#'   initialise the new species at their single-species steady state and
+#'   retuning their reproductive efficiencies. Set to `FALSE` when the caller
+#'   (e.g. an extension package using `NextMethod()`) needs to make further
+#'   changes to the params object before that steady-state calculation can be
+#'   run successfully.
 #' @param info_level Controls the amount of information messages that are shown
 #'   when the function sets default values for parameters. Higher levels lead
 #'   to more messages. Set to 0 to suppress all such messages.
@@ -66,16 +72,59 @@
 #' @rdname addSpecies
 addSpecies <- function(params, species_params,
                        gear_params = data.frame(), initial_effort,
-                       interaction, info_level = 3, ...) {
+                       interaction, steady = TRUE, info_level = 3, ...) {
     UseMethod("addSpecies")
 }
 
+getPreservedParamsClass <- function(original_params, params) {
+    original_class <- class(original_params)[[1]]
+    target_class <- class(params)[[1]]
+    if (identical(target_class, "MizerParams") &&
+        !identical(original_class, "MizerParams")) {
+        return(original_class)
+    }
+    target_class
+}
+
+restoreParamsClass <- function(params, target_class) {
+    if (target_class != "MizerParams") {
+        params <- as(params, target_class)
+    }
+    params
+}
+
+copyPreservedParamsSlots <- function(params, old_params) {
+    params@other_dynamics <- old_params@other_dynamics
+    params@initial_n_other <- old_params@initial_n_other
+    params@other_encounter <- old_params@other_encounter
+    params@other_mort <- old_params@other_mort
+    params@other_params <- old_params@other_params
+    params@rates_funcs <- old_params@rates_funcs
+    params@use_predation_diffusion <- old_params@use_predation_diffusion
+
+    params@metadata <- old_params@metadata
+    params@time_created <- old_params@time_created
+    params@mizer_version <- old_params@mizer_version
+    params@extensions <- old_params@extensions
+    params
+}
+
+copyParamsComments <- function(params, old_params) {
+    comment(params) <- comment(old_params)
+    for (slot in slotNames(params)) {
+        comment(slot(params, slot)) <- comment(slot(old_params, slot))
+    }
+    params
+}
+
 #' @export
 addSpecies.MizerParams <- function(params, species_params, gear_params = data.frame(),
                                    initial_effort = NULL, interaction = NULL,
-                                   info_level = 3, ...) {
+                                   steady = TRUE, info_level = 3, ...) {
     # check validity of parameters ----
+    original_params <- params
     params <- validParams(params)
+    target_class <- getPreservedParamsClass(original_params, params)
     given_species_params <- validGivenSpeciesParams(species_params)
     species_params <- validSpeciesParams(species_params)
     gear_params <- validGearParams(gear_params, species_params)
@@ -236,10 +285,7 @@ addSpecies.MizerParams <- function(params, species_params, gear_params = data.fr
     p@resource_params <- params@resource_params
 
     # Preserve comments ----
-    comment(p) <- comment(params)
-    for (slot in (slotNames(p))) {
-        comment(slot(p, slot)) <- comment(slot(params, slot))
-    }
+    p <- copyParamsComments(p, params)
 
     # Copy old data ----
     # selector for old w bins inside new w
@@ -255,16 +301,7 @@ addSpecies.MizerParams <- function(params, species_params, gear_params = data.fr
     p@search_vol[old_sp, old_w] <- params@search_vol
     p@metab[old_sp, old_w] <- params@metab
 
-    p@other_dynamics <- params@other_dynamics
-    p@other_encounter <- params@other_encounter
-    p@other_mort <- params@other_mort
-    p@other_params <- params@other_params
-    p@rates_funcs <- params@rates_funcs
-
-    p@metadata <- params@metadata
-    p@time_created <- params@time_created
-    p@mizer_version <- params@mizer_version
-    p@extensions <- params@extensions
+    p <- copyPreservedParamsSlots(p, params)
 
     # The following does not affect the new species but preserves
     # any changes the user might have made in the original params object
@@ -276,46 +313,46 @@ addSpecies.MizerParams <- function(params, species_params, gear_params = data.fr
 
     # initial solution ----
     p@initial_n[old_sp, old_w] <- params@initial_n
-    # Turn off self-interaction among the new species, so we can determine the
-    # growth rates, and death rates induced upon them by the pre-existing species
-    p@interaction[new_sp, new_sp] <- 0
-
-    # Compute solution for new species
-    p <- steadySingleSpecies(p, species = new_sp)
-
-    # set low abundance ----
-    for (i in new_sp) {
-        # Normalise solution so that it is never more than 1/100th of the
-        # Sheldon spectrum.
-        # We look at the maximum of abundance times w^lambda
-        # because that is always an increasing function at small size.
-        idx <- which.max(p@initial_n[i, ] * p@w^p@resource_params$lambda)
-        p@initial_n[i, ] <- p@initial_n[i, ] *
-            p@resource_params$kappa * p@w[idx]^(-p@resource_params$lambda) /
-            p@initial_n[i, idx] / 100
-        p@species_params$is_background[i] <- FALSE
-    }
 
-    if (any(is.infinite(p@initial_n))) {
-        stop("Candidate steady state holds infinities.")
-    }
-    if (any(is.na(p@initial_n) | is.nan(p@initial_n))) {
-        stop("Candidate steady state holds non-numeric values.")
-    }
+    if (steady) {
+        # Turn off self-interaction among the new species, so we can determine the
+        # growth rates, and death rates induced upon them by the pre-existing species
+        p@interaction[new_sp, new_sp] <- 0
+
+        # Compute solution for new species
+        p <- steadySingleSpecies(p, species = new_sp)
+
+        # set low abundance ----
+        for (i in new_sp) {
+            # Normalise solution so that it is never more than 1/100th of the
+            # Sheldon spectrum.
+            # We look at the maximum of abundance times w^lambda
+            # because that is always an increasing function at small size.
+            idx <- which.max(p@initial_n[i, ] * p@w^p@resource_params$lambda)
+            p@initial_n[i, ] <- p@initial_n[i, ] *
+                p@resource_params$kappa * p@w[idx]^(-p@resource_params$lambda) /
+                p@initial_n[i, idx] / 100
+            p@species_params$is_background[i] <- FALSE
+        }
 
-    # Turn self interaction back on
-    p@interaction[new_sp, new_sp] <- inter[new_sp, new_sp]
+        if (any(is.infinite(p@initial_n))) {
+            stop("Candidate steady state holds infinities.")
+        }
+        if (any(is.na(p@initial_n) | is.nan(p@initial_n))) {
+            stop("Candidate steady state holds non-numeric values.")
+        }
 
-    # Retune reproductive efficiencies of new species
-    repro_level <- rep(1 / 4, length(new_sp))
-    names(repro_level) <- p@species_params$species[new_sp]
-    p <- setBevertonHolt(p, reproduction_level = repro_level)
+        # Turn self interaction back on
+        p@interaction[new_sp, new_sp] <- inter[new_sp, new_sp]
 
-    # Preserve subclass of params
-    if (class(params)[[1]] != "MizerParams") {
-        p <- as(p, class(params)[[1]])
+        # Retune reproductive efficiencies of new species
+        repro_level <- rep(1 / 4, length(new_sp))
+        names(repro_level) <- p@species_params$species[new_sp]
+        p <- setBevertonHolt(p, reproduction_level = repro_level)
     }
 
+    p <- restoreParamsClass(p, target_class)
+
     return(p)
 }
 
@@ -532,6 +569,7 @@ expandSizeGrid.MizerParams <- function(params,
                            new_max_w = max(params@w),
                            preserve_species = params@species_params$species,
                            ...) {
+    target_class <- class(params)[[1]]
     sp_sel <- valid_species_arg(params, preserve_species, return.logical = TRUE)
     min_w <- min(params@w)
     max_w <- max(params@w)
@@ -606,6 +644,7 @@ expandSizeGrid.MizerParams <- function(params,
     p@sc[old_w] <- params@sc
     p@mu_b[sp_sel, old_w] <- params@mu_b[sp_sel, ]
     p@ext_encounter[sp_sel, old_w] <- params@ext_encounter[sp_sel, ]
+    p@ext_diffusion[sp_sel, old_w] <- params@ext_diffusion[sp_sel, ]
     p@intake_max[sp_sel, old_w] <- params@intake_max[sp_sel, ]
     p@search_vol[sp_sel, old_w] <- params@search_vol[sp_sel, ]
     p@metab[sp_sel, old_w] <- params@metab[sp_sel, ]
@@ -618,31 +657,24 @@ expandSizeGrid.MizerParams <- function(params,
 
     # Step 4: Preserve other slots and metadata ----
     p@given_species_params <- params@given_species_params
-    p@other_dynamics <- params@other_dynamics
-    p@other_encounter <- params@other_encounter
-    p@other_mort <- params@other_mort
-    p@other_params <- params@other_params
-    p@rates_funcs <- params@rates_funcs
-
-    p@metadata <- params@metadata
-    p@time_created <- params@time_created
-    p@mizer_version <- params@mizer_version
-    p@extensions <- params@extensions
+    p <- copyPreservedParamsSlots(p, params)
     p <- setColours(p, params@linecolour)
     p <- setLinetypes(p, params@linetype)
 
     # Preserve comments
-    comment(p) <- comment(params)
-    for (slot in (slotNames(p))) {
-        comment(slot(p, slot)) <- comment(slot(params, slot))
-    }
+    p <- copyParamsComments(p, params)
 
     p <- validParams(p)
 
-    # Preserve subclass of params
-    if (class(params)[[1]] != "MizerParams") {
-        p <- as(p, class(params)[[1]])
-    }
+    # validParams() may add recently introduced default species parameters
+    # and the constructor may reorder plot metadata. expandSizeGrid() should
+    # preserve the original user-visible metadata exactly.
+    p@species_params <- params@species_params
+    p@given_species_params <- params@given_species_params
+    p@linecolour <- params@linecolour
+    p@linetype <- params@linetype
+
+    p <- restoreParamsClass(p, target_class)
 
     return(p)
 }
diff --git a/R/mizer-package.R b/R/mizer-package.R
index 4529547a2..bdd50aecf 100644
--- a/R/mizer-package.R
+++ b/R/mizer-package.R
@@ -29,7 +29,7 @@
 #'
 #' @import ggplot2 methods assertthat dplyr
 #' @importFrom plotly ggplotly plotlyOutput renderPlotly
-#' @importFrom stats fft mvfft lm pnorm runif complete.cases
+#' @importFrom stats fft mvfft lm pnorm runif complete.cases setNames
 #' @importFrom grDevices col2rgb
 #' @importFrom utils modifyList packageVersion globalVariables
 #' @importFrom rlang signal cnd_muffle
diff --git a/R/project.R b/R/project.R
index 275dc9862..7895c84eb 100644
--- a/R/project.R
+++ b/R/project.R
@@ -287,7 +287,7 @@ project.MizerParams <- function(object, effort,
     # get functions
     resource_dynamics_fn <- get(params@resource_dynamics)
     other_dynamics_fns <- lapply(params@other_dynamics, get)
-    rates_fns <- lapply(params@rates_funcs, get)
+    rates_fns <- projectRateFunctions(params)
 
     # Set up progress bar
     if (is(progress_bar, "Progress")) {
@@ -454,7 +454,7 @@ project_simple.MizerParams <-
              t = 0, dt = 0.1, steps,
              resource_dynamics_fn = get(params@resource_dynamics),
              other_dynamics_fns = lapply(params@other_dynamics, get),
-             rates_fns = lapply(params@rates_funcs, get), ...) {
+             rates_fns = projectRateFunctions(params), ...) {
         # Handy things ----
         no_sp <- nrow(params@species_params) # number of species
         no_w <- length(params@w) # number of fish size bins
diff --git a/R/project_methods.R b/R/project_methods.R
index 57a510615..a0b074746 100644
--- a/R/project_methods.R
+++ b/R/project_methods.R
@@ -113,7 +113,129 @@ mizerRates <- function(params, n, n_pp, n_other,
     return(r)
 }
 
-#' Get encounter rate needed to project standard mizer model
+#' @rdname mizerRates
+#'
+#' @description `projectRates()` is an S3 generic used by extension-aware
+#'   projections to calculate all rates. Models without extensions keep using
+#'   [mizerRates()] directly. The base method mirrors [mizerRates()] but calls
+#'   migrated projection hooks directly, starting with [projectEncounter()].
+#'
+#' @export
+#' @family mizer rate functions
+projectRates <- function(params, n, n_pp, n_other,
+                         t = 0, effort, rates_fns, ...) {
+    UseMethod("projectRates")
+}
+
+#' @export
+projectRates.MizerParams <- function(params, n, n_pp, n_other,
+                                     t = 0, effort, rates_fns, ...) {
+    r <- list()
+
+    ## Growth ----
+    # Calculate rate E_{e,i}(w) of encountered food
+    r$encounter <- rates_fns$Encounter(
+        params, n = n, n_pp = n_pp, n_other = n_other, t = t, ...)
+    # Calculate feeding level f_i(w)
+    r$feeding_level <- rates_fns$FeedingLevel(
+        params, n = n, n_pp = n_pp, n_other = n_other,
+        encounter = r$encounter, t = t, ...)
+    # Calculate the energy available for reproduction and growth
+    r$e <- rates_fns$EReproAndGrowth(
+        params, n = n, n_pp = n_pp, n_other = n_other,
+        encounter = r$encounter, feeding_level = r$feeding_level, t = t, ...)
+    # Calculate the energy for reproduction
+    r$e_repro <- rates_fns$ERepro(
+        params, n = n, n_pp = n_pp, n_other = n_other,
+        e = r$e, t = t, ...)
+    # Calculate the growth rate g_i(w)
+    r$e_growth <- rates_fns$EGrowth(
+        params, n = n, n_pp = n_pp, n_other = n_other,
+        e_repro = r$e_repro, e = r$e, t = t, ...)
+    # Calculate the diffusion rate D_i(w)
+    r$diffusion <- rates_fns$Diffusion(
+        params, n = n, n_pp = n_pp, n_other = n_other,
+        feeding_level = r$feeding_level, t = t, ...)
+
+    ## Mortality ----
+    # Calculate the predation rate
+    r$pred_rate <- rates_fns$PredRate(
+        params, n = n, n_pp = n_pp, n_other = n_other,
+        feeding_level = r$feeding_level, t = t, ...)
+    # Calculate predation mortality on fish \mu_{p,i}(w)
+    r$pred_mort <- rates_fns$PredMort(
+        params, n = n, n_pp = n_pp, n_other = n_other,
+        pred_rate = r$pred_rate, t = t, ...)
+    # Calculate fishing mortality
+    r$f_mort <- rates_fns$FMort(
+        params, n = n, n_pp = n_pp, n_other = n_other,
+        effort = effort, t = t,
+        e_growth = r$e_growth, pred_mort = r$pred_mort, ...)
+    # Calculate total mortality \mu_i(w)
+    r$mort <- rates_fns$Mort(
+        params, n = n, n_pp = n_pp, n_other = n_other,
+        f_mort = r$f_mort, pred_mort = r$pred_mort, t = t, ...)
+
+    ## Reproduction ----
+    # R_di
+    r$rdi <- rates_fns$RDI(
+        params, n = n, n_pp = n_pp, n_other = n_other,
+        e_growth = r$e_growth,
+        mort = r$mort,
+        e_repro = r$e_repro, t = t, ...)
+    # R_dd
+    r$rdd <- rates_fns$RDD(params, rdi = r$rdi, species_params = params@species_params,
+                           t = t, ...)
+
+    ## Resource ----
+    # Calculate mortality on the resource spectrum
+    r$resource_mort <- rates_fns$ResourceMort(
+        params, n = n, n_pp = n_pp, n_other = n_other,
+        pred_rate = r$pred_rate, t = t, ...)
+
+    return(r)
+}
+
+#' @name mizerEncounter
+#' @rdname mizerEncounter
+#' @export
+projectEncounter <- function(params, n, n_pp, n_other, t = 0, ...) {
+    UseMethod("projectEncounter")
+}
+
+# Resolve rate functions for projection.
+projectRateFunctions <- function(params) {
+    rates_fns <- lapply(params@rates_funcs, get)
+
+    if (usesExtensionDispatch(params)) {
+        # For rates still at their defaults, swap in the S3 generics so that
+        # projectRates.MizerParams (and any subclass override) can dispatch
+        # through the extension chain via NextMethod(). Rates overridden by the
+        # user via setRateFunction() keep their resolved custom function and are
+        # called directly, bypassing S3 dispatch for that rate.
+        rf <- params@rates_funcs
+        if (rf$Encounter       == "mizerEncounter")       rates_fns$Encounter       <- projectEncounter
+        if (rf$FeedingLevel    == "mizerFeedingLevel")    rates_fns$FeedingLevel    <- projectFeedingLevel
+        if (rf$EReproAndGrowth == "mizerEReproAndGrowth") rates_fns$EReproAndGrowth <- projectEReproAndGrowth
+        if (rf$ERepro          == "mizerERepro")          rates_fns$ERepro          <- projectERepro
+        if (rf$EGrowth         == "mizerEGrowth")         rates_fns$EGrowth         <- projectEGrowth
+        if (rf$Diffusion       == "mizerDiffusion")       rates_fns$Diffusion       <- projectDiffusion
+        if (rf$PredRate        == "mizerPredRate")        rates_fns$PredRate        <- projectPredRate
+        if (rf$PredMort        == "mizerPredMort")        rates_fns$PredMort        <- projectPredMort
+        if (rf$FMort           == "mizerFMort")           rates_fns$FMort           <- projectFMort
+        if (rf$Mort            == "mizerMort")            rates_fns$Mort            <- projectMort
+        if (rf$RDI             == "mizerRDI")             rates_fns$RDI             <- projectRDI
+        if (rf$ResourceMort    == "mizerResourceMort")    rates_fns$ResourceMort    <- projectResourceMort
+        # RDD is special: projectRDD.MizerParams already dispatches internally
+        # via params@rates_funcs$RDD, so always use the S3 generic here.
+        rates_fns$RDD   <- projectRDD
+        rates_fns$Rates <- projectRates
+    }
+
+    rates_fns
+}
+
+#' Get encounter rate during projection
 #'
 #' Calculates the rate \eqn{E_i(w)} at which a predator of species \eqn{i} and
 #' weight \eqn{w} encounters food (grams/year). You would not usually call this
@@ -156,11 +278,18 @@ mizerRates <- function(params, n, n_pp, n_other,
 #' [setComponent()] and for which you specified an `encounter_fun` function then
 #' the encounters of these components will be included in the returned value.
 #'
+#' @section Extension hook:
+#' `projectEncounter()` is the S3 generic used by extension-aware projections.
+#' Extension packages can add methods for their marker classes and call
+#' `NextMethod()` to compose encounter-rate changes. The `MizerParams` method
+#' contains the standard mizer calculation and is also exported as
+#' `mizerEncounter()` for compatibility.
+#'
 #' @section Your own encounter function:
-#' By default [getEncounter()] calls [mizerEncounter()]. However you can
-#' replace this with your own alternative encounter function. If
-#' your function is called `"myEncounter"` then you register it in a MizerParams
-#' object `params` with
+#' By default [getEncounter()] calls [mizerEncounter()] on models without
+#' extensions. However you can replace this with your own alternative encounter
+#' function. If your function is called `"myEncounter"` then you register it in
+#' a MizerParams object `params` with
 #' ```
 #' params <- setRateFunction(params, "Encounter", "myEncounter")
 #' ```
@@ -172,9 +301,11 @@ mizerRates <- function(params, n, n_pp, n_other,
 #'
 #' @return A named two dimensional array (predator species x predator size) with
 #'   the encounter rates.
+#' @rdname mizerEncounter
 #' @export
 #' @family mizer rate functions
-mizerEncounter <- function(params, n, n_pp, n_other, t, ...) {
+projectEncounter.MizerParams <- function(params, n, n_pp, n_other,
+                                         t = 0, ...) {
 
     # idx_sp are the index values of params@w_full such that
     # params@w_full[idx_sp] = params@w
@@ -243,6 +374,18 @@ mizerEncounter <- function(params, n, n_pp, n_other, t, ...) {
     return(encounter + params@ext_encounter)
 }
 
+#' @rdname mizerEncounter
+#' @export
+mizerEncounter <- projectEncounter.MizerParams
+
+#' @name mizerFeedingLevel
+#' @rdname mizerFeedingLevel
+#' @export
+projectFeedingLevel <- function(params, n, n_pp, n_other, t = 0,
+                                encounter, ...) {
+    UseMethod("projectFeedingLevel")
+}
+
 #' Get feeding level needed to project standard mizer model
 #'
 #' You would not usually call this function directly but instead use
@@ -284,12 +427,26 @@ mizerEncounter <- function(params, n, n_pp, n_other, t, ...) {
 #' @return A two dimensional array (predator species x predator size) with the
 #'   feeding level.
 #'
+#' @rdname mizerFeedingLevel
 #' @export
 #' @family mizer rate functions
-mizerFeedingLevel <- function(params, n, n_pp, n_other, t, encounter, ...) {
+projectFeedingLevel.MizerParams <- function(params, n, n_pp, n_other, t = 0,
+                                            encounter, ...) {
     return(encounter / (encounter + params@intake_max))
 }
 
+#' @rdname mizerFeedingLevel
+#' @export
+mizerFeedingLevel <- projectFeedingLevel.MizerParams
+
+#' @name mizerEReproAndGrowth
+#' @rdname mizerEReproAndGrowth
+#' @export
+projectEReproAndGrowth <- function(params, n, n_pp, n_other, t = 0,
+                                   encounter, feeding_level, ...) {
+    UseMethod("projectEReproAndGrowth")
+}
+
 #' Get energy rate available for reproduction and growth  needed to project
 #' standard mizer model
 #'
@@ -340,16 +497,29 @@ mizerFeedingLevel <- function(params, n, n_pp, n_other, t, encounter, ...) {
 #' Your function will then be called instead of [mizerEReproAndGrowth()], with
 #' the same arguments.
 #'
+#' @rdname mizerEReproAndGrowth
 #' @export
 #' @family mizer rate functions
-mizerEReproAndGrowth <- function(params, n, n_pp, n_other, t, encounter,
-                                 feeding_level, ...) {
+projectEReproAndGrowth.MizerParams <- function(params, n, n_pp, n_other,
+                                               t = 0, encounter,
+                                               feeding_level, ...) {
 
     sweep((1 - feeding_level) * encounter, 1,
           params@species_params$alpha, "*", check.margin = FALSE) -
         params@metab
 }
 
+#' @rdname mizerEReproAndGrowth
+#' @export
+mizerEReproAndGrowth <- projectEReproAndGrowth.MizerParams
+
+#' @name mizerERepro
+#' @rdname mizerERepro
+#' @export
+projectERepro <- function(params, n, n_pp, n_other, t = 0, e, ...) {
+    UseMethod("projectERepro")
+}
+
 #' Get energy rate available for reproduction needed to project standard mizer
 #' model
 #'
@@ -382,9 +552,11 @@ mizerEReproAndGrowth <- function(params, n, n_pp, n_other, t, encounter,
 #' reproduction. Negative entries in `e` are clipped to 0 before multiplying by
 #' \eqn{\psi_i(w)}. This proportion is taken from the `params` object and is set
 #' with [setReproduction()].
+#' @rdname mizerERepro
 #' @export
 #' @family mizer rate functions
-mizerERepro <- function(params, n, n_pp, n_other, t, e, ...) {
+projectERepro.MizerParams <- function(params, n, n_pp, n_other, t = 0,
+                                      e, ...) {
     # Because getEReproAndGrowth can return negative values,
     # we add an extra line here
     e[e < 0] <- 0 # Do not allow negative growth
@@ -392,6 +564,17 @@ mizerERepro <- function(params, n, n_pp, n_other, t, e, ...) {
     params@psi * e
 }
 
+#' @rdname mizerERepro
+#' @export
+mizerERepro <- projectERepro.MizerParams
+
+#' @name mizerEGrowth
+#' @rdname mizerEGrowth
+#' @export
+projectEGrowth <- function(params, n, n_pp, n_other, t = 0, e_repro, e, ...) {
+    UseMethod("projectEGrowth")
+}
+
 #' Get energy rate available for growth needed to project standard mizer model
 #'
 #' Calculates the energy rate \eqn{g_i(w)} (grams/year) available by species and
@@ -424,14 +607,27 @@ mizerERepro <- function(params, n, n_pp, n_other, t, e, ...) {
 #'   [getERepro()].
 #'
 #' @return A two dimensional array (species x size) with the growth rates.
+#' @rdname mizerEGrowth
 #' @export
 #' @family mizer rate functions
-mizerEGrowth <- function(params, n, n_pp, n_other, t, e_repro, e, ...) {
+projectEGrowth.MizerParams <- function(params, n, n_pp, n_other, t = 0,
+                                       e_repro, e, ...) {
     g <- e - e_repro
     g[g < 0] <- 0 # Do not allow negative growth
     g
 }
 
+#' @rdname mizerEGrowth
+#' @export
+mizerEGrowth <- projectEGrowth.MizerParams
+
+#' @name mizerPredRate
+#' @rdname mizerPredRate
+#' @export
+projectPredRate <- function(params, n, n_pp, n_other, t = 0,
+                            feeding_level, ...) {
+    UseMethod("projectPredRate")
+}
 
 #' Get predation rate needed to project standard mizer model
 #'
@@ -462,9 +658,11 @@ mizerEGrowth <- function(params, n, n_pp, n_other, t, e_repro, e, ...) {
 #' @return A named two dimensional array (predator species x prey size) with the
 #'   predation rate, where the prey size runs over fish community plus resource
 #'   spectrum.
+#' @rdname mizerPredRate
 #' @export
 #' @family mizer rate functions
-mizerPredRate <- function(params, n, n_pp, n_other, t, feeding_level, ...) {
+projectPredRate.MizerParams <- function(params, n, n_pp, n_other, t = 0,
+                                        feeding_level, ...) {
     no_sp <- dim(params@interaction)[1]
     no_w <- length(params@w)
     no_w_full <- length(params@w_full)
@@ -504,6 +702,16 @@ mizerPredRate <- function(params, n, n_pp, n_other, t, feeding_level, ...) {
     return(pred_rate * params@ft_mask)
 }
 
+#' @rdname mizerPredRate
+#' @export
+mizerPredRate <- projectPredRate.MizerParams
+
+#' @name mizerPredMort
+#' @rdname mizerPredMort
+#' @export
+projectPredMort <- function(params, n, n_pp, n_other, t = 0, pred_rate, ...) {
+    UseMethod("projectPredMort")
+}
 
 #' Get total predation mortality rate needed to project standard mizer model
 #'
@@ -534,13 +742,19 @@ mizerPredRate <- function(params, n, n_pp, n_other, t, feeding_level, ...) {
 #' @return A two dimensional array (prey species x prey size) with the predation
 #'   mortality
 #' @family mizer rate functions
+#' @rdname mizerPredMort
 #' @export
-mizerPredMort <- function(params, n, n_pp, n_other, t, pred_rate, ...) {
+projectPredMort.MizerParams <- function(params, n, n_pp, n_other, t = 0,
+                                        pred_rate, ...) {
     idx_sp <- (length(params@w_full) -
                    length(params@w) + 1):length(params@w_full)
     return((base::t(params@interaction) %*% pred_rate[, idx_sp, drop = FALSE]))
 }
 
+#' @rdname mizerPredMort
+#' @export
+mizerPredMort <- projectPredMort.MizerParams
+
 #' Get the fishing mortality needed to project
 #' standard mizer model
 #'
@@ -564,6 +778,13 @@ mizerFMortGear <- function(params, effort) {
     return(out)
 }
 
+#' @name mizerFMort
+#' @rdname mizerFMort
+#' @export
+projectFMort <- function(params, n, n_pp, n_other, t = 0, effort,
+                         e_growth, pred_mort, ...) {
+    UseMethod("projectFMort")
+}
 
 #' Get the total fishing mortality rate from all fishing gears
 #'
@@ -595,13 +816,26 @@ mizerFMortGear <- function(params, effort) {
 #'
 #' @return An array (species x size) with the fishing mortality.
 #' @note Here: fishing mortality = catchability x selectivity x effort.
+#' @rdname mizerFMort
 #' @export
 #' @family mizer rate functions
-mizerFMort <- function(params, n, n_pp, n_other, t, effort,
-                       e_growth, pred_mort, ...) {
+projectFMort.MizerParams <- function(params, n, n_pp, n_other, t = 0,
+                                     effort, e_growth, pred_mort, ...) {
     colSums(mizerFMortGear(params, effort))
 }
 
+#' @rdname mizerFMort
+#' @export
+mizerFMort <- projectFMort.MizerParams
+
+#' @name mizerMort
+#' @rdname mizerMort
+#' @export
+projectMort <- function(params, n, n_pp, n_other, t = 0,
+                        f_mort, pred_mort, ...) {
+    UseMethod("projectMort")
+}
+
 #' Get total mortality rate needed to project standard mizer model
 #'
 #' Calculates the total mortality rate \eqn{\mu_i(w)}  (in units 1/year) on each
@@ -636,9 +870,11 @@ mizerFMort <- function(params, n, n_pp, n_other, t, effort,
 #'
 #' @return A named two dimensional array (species x size) with the total
 #'   mortality rates.
+#' @rdname mizerMort
 #' @export
 #' @family mizer rate functions
-mizerMort <- function(params, n, n_pp, n_other, t, f_mort, pred_mort, ...){
+projectMort.MizerParams <- function(params, n, n_pp, n_other, t = 0,
+                                    f_mort, pred_mort, ...) {
     mort <- pred_mort + params@mu_b + f_mort
     # Add contributions from other components
     for (i in seq_along(params@other_mort)) {
@@ -651,6 +887,17 @@ mizerMort <- function(params, n, n_pp, n_other, t, f_mort, pred_mort, ...){
     return(mort)
 }
 
+#' @rdname mizerMort
+#' @export
+mizerMort <- projectMort.MizerParams
+
+#' @name mizerResourceMort
+#' @rdname mizerResourceMort
+#' @export
+projectResourceMort <- function(params, n, n_pp, n_other, t = 0,
+                                pred_rate, ...) {
+    UseMethod("projectResourceMort")
+}
 
 #' Get predation mortality rate for resource needed to project standard mizer
 #' model
@@ -679,7 +926,13 @@ mizerMort <- function(params, n, n_pp, n_other, t, f_mort, pred_mort, ...){
 #'
 #' @return A vector of mortality rate by resource size.
 #' @family mizer rate functions
+#' @rdname mizerResourceMort
 #' @export
-mizerResourceMort <- function(params, n, n_pp, n_other, t, pred_rate, ...) {
+projectResourceMort.MizerParams <- function(params, n, n_pp, n_other, t = 0,
+                                            pred_rate, ...) {
     as.vector(params@species_params$interaction_resource %*% pred_rate)
 }
+
+#' @rdname mizerResourceMort
+#' @export
+mizerResourceMort <- projectResourceMort.MizerParams
diff --git a/R/rate_functions.R b/R/rate_functions.R
index cc6882414..01f9d7a38 100644
--- a/R/rate_functions.R
+++ b/R/rate_functions.R
@@ -17,7 +17,7 @@
 # Four functions are the odd ones out because they also accept a MizerSim:
 # getFeedingLevel(object, n, n_pp,n_other, time_range, drop, ...)
 # getPredMort(object, n, n_pp,n_other, time_range, drop, ...)
-# getFMort(object, effort, time_range, drop)
+# getFMort(object, time_range, drop)
 # getFMortGear(object, effort, time_range)
 
 #' Get all rates
@@ -46,10 +46,11 @@ getRates.MizerParams <- function(params, n = initialN(params),
         effort <- params@initial_effort
     }
     
-    get(params@rates_funcs$Rates)(
+    rates_fns <- projectRateFunctions(params)
+    rates_fns$Rates(
         params, n = n, n_pp = n_pp, n_other = n_other,
         t = t, effort = effort, 
-        rates_fns = lapply(params@rates_funcs, get), ...)
+        rates_fns = rates_fns, ...)
 }
 
 #' Get encounter rate
@@ -86,8 +87,14 @@ getEncounter.MizerParams <- function(params, n = initialN(params),
                 identical(length(n_pp), length(params@initial_n_pp)),
                 identical(length(n_other), length(params@initial_n_other))
     )
-    f <- get(params@rates_funcs$Encounter)
-    encounter <- f(params, n = n, n_pp = n_pp, n_other = n_other, t = t)
+    if (usesExtensionDispatch(params)) {
+        encounter <- projectEncounter(params, n = n, n_pp = n_pp,
+                                      n_other = n_other, t = t, ...)
+    } else {
+        encounter_fn <- get(params@rates_funcs$Encounter)
+        encounter <- encounter_fn(params, n = n, n_pp = n_pp,
+                                  n_other = n_other, t = t, ...)
+    }
     ArraySpeciesBySize(encounter, value_name = "Encounter rate",
              units = "g/year", params = params)
 }
@@ -144,11 +151,16 @@ getFeedingLevel.MizerParams <- function(object, n, n_pp, n_other,
     if (missing(n_pp)) n_pp <- params@initial_n_pp
     if (missing(n_other)) n_other <- params@initial_n_other
     # calculate feeding level
-    f <- get(params@rates_funcs$FeedingLevel)
-    feeding_level <- f(params, n = n, n_pp = n_pp, n_other = n_other,
-                       encounter = getEncounter(params, n, n_pp, n_other, 
-                                                t = t), 
-                           t = t)
+    encounter <- getEncounter(params, n, n_pp, n_other, t = t)
+    if (usesExtensionDispatch(params)) {
+        feeding_level <- projectFeedingLevel(
+            params, n = n, n_pp = n_pp, n_other = n_other,
+            encounter = encounter, t = t)
+    } else {
+        f <- get(params@rates_funcs$FeedingLevel)
+        feeding_level <- f(params, n = n, n_pp = n_pp, n_other = n_other,
+                           encounter = encounter, t = t)
+    }
     return(ArraySpeciesBySize(feeding_level, value_name = "Feeding level",
                      params = params))
 }
@@ -248,11 +260,17 @@ getEReproAndGrowth.MizerParams <- function(params, n = initialN(params),
                                n_other = initialNOther(params),
                                t = 0, ...) {
     params <- validParams(params)
-    f <- get(params@rates_funcs$EReproAndGrowth)
-    e <- f(params, n = n, n_pp = n_pp, n_other = n_other, t = t,
-           encounter = getEncounter(params, n, n_pp, n_other, t = t), 
-           feeding_level = getFeedingLevel(params, n, n_pp, n_other, 
-                                           time_range = t))
+    encounter <- getEncounter(params, n, n_pp, n_other, t = t)
+    feeding_level <- getFeedingLevel(params, n, n_pp, n_other, time_range = t)
+    if (usesExtensionDispatch(params)) {
+        e <- projectEReproAndGrowth(
+            params, n = n, n_pp = n_pp, n_other = n_other, t = t,
+            encounter = encounter, feeding_level = feeding_level)
+    } else {
+        f <- get(params@rates_funcs$EReproAndGrowth)
+        e <- f(params, n = n, n_pp = n_pp, n_other = n_other, t = t,
+               encounter = encounter, feeding_level = feeding_level)
+    }
     ArraySpeciesBySize(e, value_name = "Energy for growth and reproduction",
              units = "g/year", params = params)
 }
@@ -300,11 +318,17 @@ getPredRate.MizerParams <- function(params, n = initialN(params),
                         n_other = initialNOther(params),
                         t = 0, ...) {
     params <- validParams(params)
-    f <- get(params@rates_funcs$PredRate)
-    pred_rate <- f(params, n = n, n_pp = n_pp, n_other = n_other, t = t,
-                   feeding_level = getFeedingLevel(params, n = n, n_pp = n_pp,  
-                                                   n_other = n_other, 
-                                                   time_range = t))
+    feeding_level <- getFeedingLevel(params, n = n, n_pp = n_pp,
+                                     n_other = n_other, time_range = t)
+    if (usesExtensionDispatch(params)) {
+        pred_rate <- projectPredRate(
+            params, n = n, n_pp = n_pp, n_other = n_other, t = t,
+            feeding_level = feeding_level)
+    } else {
+        f <- get(params@rates_funcs$PredRate)
+        pred_rate <- f(params, n = n, n_pp = n_pp, n_other = n_other, t = t,
+                       feeding_level = feeding_level)
+    }
     dimnames(pred_rate) <- list(sp = dimnames(params@initial_n)$sp,
                                 w_prey = as.character(signif(params@w_full, 3)))
     pred_rate
@@ -361,10 +385,17 @@ getPredMort.MizerParams <- function(object, n, n_pp, n_other,
     if (missing(time_range)) time_range <- 0
     t <- min(time_range)
     
-    f <- get(params@rates_funcs$PredMort)
-    pred_mort <- f(params, n = n, n_pp = n_pp, n_other = n_other, t = t,
-                   pred_rate = getPredRate(params, n = n, n_pp = n_pp, 
-                                           n_other = n_other, t = t))
+    pred_rate <- getPredRate(params, n = n, n_pp = n_pp, n_other = n_other,
+                             t = t)
+    if (usesExtensionDispatch(params)) {
+        pred_mort <- projectPredMort(
+            params, n = n, n_pp = n_pp, n_other = n_other, t = t,
+            pred_rate = pred_rate)
+    } else {
+        f <- get(params@rates_funcs$PredMort)
+        pred_mort <- f(params, n = n, n_pp = n_pp, n_other = n_other, t = t,
+                       pred_rate = pred_rate)
+    }
     ArraySpeciesBySize(pred_mort, value_name = "Predation mortality",
              units = "1/year", params = params)
 }
@@ -437,10 +468,17 @@ getResourceMort.MizerParams <- function(params, n = initialN(params),
              t = 0, ...) {
     params <- validParams(params)
     
-    f <- get(params@rates_funcs$ResourceMort)
-    mort <- f(params, n = n, n_pp = n_pp, n_other = n_other, 
-              t = t, pred_rate = getPredRate(params, n = n, n_pp = n_pp, 
-                                             n_other = n_other, t = t))
+    pred_rate <- getPredRate(params, n = n, n_pp = n_pp, n_other = n_other,
+                             t = t)
+    if (usesExtensionDispatch(params)) {
+        mort <- projectResourceMort(
+            params, n = n, n_pp = n_pp, n_other = n_other,
+            t = t, pred_rate = pred_rate)
+    } else {
+        f <- get(params@rates_funcs$ResourceMort)
+        mort <- f(params, n = n, n_pp = n_pp, n_other = n_other,
+                  t = t, pred_rate = pred_rate)
+    }
     names(mort) <- names(params@initial_n_pp)
     mort
 }
@@ -650,7 +688,11 @@ getFMort.MizerParams <- function(object, effort, time_range, drop = TRUE) {
     n_pp <- params@initial_n_pp
     n_other <- params@initial_n_other
     no_gears <- dim(params@catchability)[[1]]
-    f <- get(params@rates_funcs$FMort)
+    f <- if (usesExtensionDispatch(params)) {
+        projectFMort
+    } else {
+        get(params@rates_funcs$FMort)
+    }
     if (length(dim(effort)) == 2) {
         times <- dimnames(effort)$time
         f_mort <- array(0,
@@ -659,35 +701,38 @@ getFMort.MizerParams <- function(object, effort, time_range, drop = TRUE) {
                                          dimnames(params@initial_n)))
         times <- as.numeric(times)
         for (i in seq_len(dim(effort)[1])) {
-            f_mort[i, , ] <- 
-                f(params, n = n, n_pp = n_pp, n_other = n_other,
-                  effort = effort[i, ], t = times[i],
-                  e_growth = getEGrowth(params, n = n, n_pp = n_pp, 
-                                        n_other = n_other, t = times[i]), 
-                  pred_mort = getPredMort(params, n = n, n_pp = n_pp, 
-                                          n_other = n_other,
-                                          time_range = times[i]))
+            args <- list(
+                params = params, n = n, n_pp = n_pp, n_other = n_other,
+                effort = effort[i, ], t = times[i],
+                e_growth = getEGrowth(params, n = n, n_pp = n_pp,
+                                      n_other = n_other, t = times[i]),
+                pred_mort = getPredMort(params, n = n, n_pp = n_pp,
+                                        n_other = n_other,
+                                        time_range = times[i]))
+            f_mort[i, , ] <- do.call(f, args)
         }
         return(f_mort)
     } else if (length(effort) <= 1) {
-        fmort <- f(params, n = n, n_pp = n_pp, n_other = n_other, 
-                   effort = rep(effort, no_gears), t = t,
-                   e_growth = getEGrowth(params, n = n, n_pp = n_pp, 
-                                         n_other = n_other, t = t), 
-                   pred_mort = getPredMort(params, n = n, n_pp = n_pp, 
-                                           n_other = n_other, 
-                                           time_range = t))
+        args <- list(
+            params = params, n = n, n_pp = n_pp, n_other = n_other,
+            effort = rep(effort, no_gears), t = t,
+            e_growth = getEGrowth(params, n = n, n_pp = n_pp,
+                                  n_other = n_other, t = t),
+            pred_mort = getPredMort(params, n = n, n_pp = n_pp,
+                                    n_other = n_other, time_range = t))
+        fmort <- do.call(f, args)
         fmort <- ArraySpeciesBySize(fmort, value_name = "Fishing mortality",
                            units = "1/year", params = params)
         return(fmort)
     } else if (length(effort) == no_gears) {
-        fmort <- f(params, n = n, n_pp = n_pp, n_other = n_other, 
-                   effort = effort, t = t,
-                   e_growth = getEGrowth(params, n = n, n_pp = n_pp, 
-                                         n_other = n_other, t = t), 
-                   pred_mort = getPredMort(params, n = n, n_pp = n_pp, 
-                                           n_other = n_other, 
-                                           time_range = t))
+        args <- list(
+            params = params, n = n, n_pp = n_pp, n_other = n_other,
+            effort = effort, t = t,
+            e_growth = getEGrowth(params, n = n, n_pp = n_pp,
+                                  n_other = n_other, t = t),
+            pred_mort = getPredMort(params, n = n, n_pp = n_pp,
+                                    n_other = n_other, time_range = t))
+        fmort <- do.call(f, args)
         fmort <- ArraySpeciesBySize(fmort, value_name = "Fishing mortality",
                            units = "1/year", params = params)
         return(fmort)
@@ -697,36 +742,37 @@ getFMort.MizerParams <- function(object, effort, time_range, drop = TRUE) {
 }
 #'
 #' @export
-getFMort.MizerSim <- function(object, effort, time_range, drop = TRUE) {
+getFMort.MizerSim <- function(object, time_range, drop = TRUE) {
     sim <- object
     params <- sim@params
-    f <- get(params@rates_funcs$FMort)
+    f <- if (usesExtensionDispatch(params)) {
+        projectFMort
+    } else {
+        get(params@rates_funcs$FMort)
+    }
     if (missing(time_range)) {
         time_range <- dimnames(sim@effort)$time
     }
     time_elements <- get_time_elements(sim, time_range)
-    effort <- sim@effort[time_elements, , drop = FALSE]
-    n <- sim@n[time_elements, , , drop = FALSE]
-    n_pp <- sim@n_pp[time_elements, , drop = FALSE]
-    n_other <- sim@n_other[time_elements, , drop = FALSE]
-    times <- dimnames(effort)$time
-    f_mort <- array(0,
-                    dim = c(dim(effort)[[1]], dim(params@initial_n)),
-                    dimnames = c(list(time = times),
-                                 dimnames(params@initial_n)))
-    times <- as.numeric(times)
-    for (i in seq_len(dim(effort)[1])) {
-        f_mort[i, , ] <- 
-            f(params, n = n[i, , ], n_pp = n_pp[i, ], 
-              n_other = n_other[i, ], effort = effort[i, ], t = times[i],
-              e_growth = getEGrowth(params, n = n[i, , ], n_pp = n_pp[i, ],
-                                    n_other = n_other[i, ], t = times[i]), 
-              pred_mort = getPredMort(params, n = n[i, , ], 
-                                      n_pp = n_pp[i, ], 
-                                      n_other = n_other[i, ],
-                                      time_range = times[i]))
-    }
-    return(f_mort[, , , drop = drop])
+    f_mort_time <- plyr::aaply(which(time_elements), 1, function(x) {
+        n <- array(sim@n[x, , ], dim = dim(sim@n)[2:3])
+        dimnames(n) <- dimnames(sim@n)[2:3]
+        n_other <- sim@n_other[x, ]
+        names(n_other) <- dimnames(sim@n_other)$component
+        t <- as.numeric(dimnames(sim@n)$time[[x]])
+        n_pp <- sim@n_pp[x, ]
+        effort <- sim@effort[x, ]
+        args <- list(
+            params = params, n = n, n_pp = n_pp,
+            n_other = n_other, effort = effort, t = t,
+            e_growth = getEGrowth(params, n = n, n_pp = n_pp,
+                                  n_other = n_other, t = t),
+            pred_mort = getPredMort(params, n = n, n_pp = n_pp,
+                                    n_other = n_other, time_range = t))
+        do.call(f, args)
+    }, .drop = FALSE)
+    names(dimnames(f_mort_time))[[1]] <- "time"
+    return(f_mort_time[, , , drop = drop])
 }
 
 
@@ -775,11 +821,17 @@ getMort.MizerParams <- function(params,
                     t = 0, ...) {
     params <- validParams(params)
   
-    f <- get(params@rates_funcs$Mort)
-    z <- f(params, n = n, n_pp = n_pp, n_other = n_other, t = t,
-           f_mort = getFMort(params, effort), 
-           pred_mort = getPredMort(params, n = n, n_pp = n_pp, 
-                                   n_other = n_other, time_range = t))
+    f_mort <- getFMort(params, effort)
+    pred_mort <- getPredMort(params, n = n, n_pp = n_pp,
+                             n_other = n_other, time_range = t)
+    if (usesExtensionDispatch(params)) {
+        z <- projectMort(params, n = n, n_pp = n_pp, n_other = n_other, t = t,
+                         f_mort = f_mort, pred_mort = pred_mort)
+    } else {
+        f <- get(params@rates_funcs$Mort)
+        z <- f(params, n = n, n_pp = n_pp, n_other = n_other, t = t,
+               f_mort = f_mort, pred_mort = pred_mort)
+    }
     return(ArraySpeciesBySize(z, value_name = "Total mortality",
                      units = "1/year", params = params))
 }
@@ -835,10 +887,16 @@ getERepro.MizerParams <- function(params, n = initialN(params),
                       n_other = initialNOther(params),
                       t = 0, ...) {
     params <- validParams(params)
-    f <- get(params@rates_funcs$ERepro)
-    erepro <- f(params, n = n, n_pp = n_pp, n_other = n_other, t = t, 
-                e = getEReproAndGrowth(params, n = n, n_pp = n_pp,
-                                       n_other = n_other, t = t))
+    e <- getEReproAndGrowth(params, n = n, n_pp = n_pp, n_other = n_other,
+                            t = t)
+    if (usesExtensionDispatch(params)) {
+        erepro <- projectERepro(params, n = n, n_pp = n_pp, n_other = n_other,
+                                t = t, e = e)
+    } else {
+        f <- get(params@rates_funcs$ERepro)
+        erepro <- f(params, n = n, n_pp = n_pp, n_other = n_other, t = t,
+                    e = e)
+    }
     ArraySpeciesBySize(erepro, value_name = "Energy for reproduction",
              units = "g/year", params = params)
 }
@@ -890,12 +948,18 @@ getEGrowth.MizerParams <- function(params, n = initialN(params),
                        n_other = initialNOther(params),
                        t = 0, ...) {
     params <- validParams(params)
-    f <- get(params@rates_funcs$EGrowth)
-    g <- f(params, n = n, n_pp = n_pp, n_other = n_other, t = t, 
-           e_repro = getERepro(params, n = n, n_pp = n_pp, 
-                               n_other = n_other, t = t), 
-           e = getEReproAndGrowth(params, n = n, n_pp = n_pp, 
-                                  n_other = n_other, t = t))
+    e_repro <- getERepro(params, n = n, n_pp = n_pp, n_other = n_other,
+                         t = t)
+    e <- getEReproAndGrowth(params, n = n, n_pp = n_pp,
+                            n_other = n_other, t = t)
+    if (usesExtensionDispatch(params)) {
+        g <- projectEGrowth(params, n = n, n_pp = n_pp, n_other = n_other,
+                            t = t, e_repro = e_repro, e = e)
+    } else {
+        f <- get(params@rates_funcs$EGrowth)
+        g <- f(params, n = n, n_pp = n_pp, n_other = n_other, t = t,
+               e_repro = e_repro, e = e)
+    }
     ArraySpeciesBySize(g, value_name = "Growth rate",
              units = "g/year", params = params)
 }
@@ -934,14 +998,19 @@ getRDI.MizerParams <- function(params, n = initialN(params),
                    n_other = initialNOther(params),
                    t = 0, ...) {
     params <- validParams(params)
-    f <- get(params@rates_funcs$RDI)
-    rdi <- f(params, n = n, n_pp = n_pp, n_other = n_other, t = t, 
-             e_repro = getERepro(params, n = n, n_pp = n_pp, 
-                                 n_other = n_other, t = t), 
-             e_growth = getEGrowth(params, n = n, n_pp = n_pp, 
-                                   n_other = n_other, t = t), 
-             mort = getMort(params, n = n, n_pp = n_pp, 
-                            n_other = n_other, t = t))
+    e_repro <- getERepro(params, n = n, n_pp = n_pp, n_other = n_other,
+                         t = t)
+    e_growth <- getEGrowth(params, n = n, n_pp = n_pp, n_other = n_other,
+                           t = t)
+    mort <- getMort(params, n = n, n_pp = n_pp, n_other = n_other, t = t)
+    if (usesExtensionDispatch(params)) {
+        rdi <- projectRDI(params, n = n, n_pp = n_pp, n_other = n_other, t = t,
+                          e_repro = e_repro, e_growth = e_growth, mort = mort)
+    } else {
+        f <- get(params@rates_funcs$RDI)
+        rdi <- f(params, n = n, n_pp = n_pp, n_other = n_other, t = t,
+                 e_repro = e_repro, e_growth = e_growth, mort = mort)
+    }
     names(rdi) <- params@species_params$species
     rdi
 }
@@ -991,14 +1060,19 @@ getRDD.MizerParams <- function(params, n = initialN(params),
                    rdi = getRDI(params, n = n, n_pp = n_pp, 
                                 n_other = n_other, t = t), ...) {
     params <- validParams(params)
-    # Avoid getting into infinite loops
-    if (params@rates_funcs$RDD == "getRDD") {
-        stop('"getRDD" is not a valid name for the function giving the density',
-             'dependent reproductive rate.')
+    if (usesExtensionDispatch(params)) {
+        rdd <- projectRDD(params, rdi = rdi, species_params = params@species_params,
+                          t = t, ...)
+    } else {
+        # Avoid getting into infinite loops
+        if (params@rates_funcs$RDD == "getRDD") {
+            stop('"getRDD" is not a valid name for the function giving the density',
+                 'dependent reproductive rate.')
+        }
+        f <- get(params@rates_funcs$RDD)
+        rdd <- f(rdi = rdi, species_params = params@species_params,
+                 params = params, t = t)
     }
-    f <- get(params@rates_funcs$RDD)
-    rdd <- f(rdi = rdi, species_params = params@species_params, 
-             params = params, t = t)
     names(rdd) <- params@species_params$species
     rdd
 }
diff --git a/R/registerExtensions.R b/R/registerExtensions.R
new file mode 100644
index 000000000..947d2958c
--- /dev/null
+++ b/R/registerExtensions.R
@@ -0,0 +1,553 @@
+# Extension chain registration and coercion helpers
+#
+# Copyright 2026 Gustav Delius.
+# Distributed under the GPL 3 or later
+
+.mizerSession <- new.env(parent = emptyenv())
+.mizerSession$extensions <- character()
+
+#' Register a single mizer extension for this R session
+#'
+#' Prepends one extension to the front of the active extension chain, giving it
+#' the highest dispatch priority. Designed to be called from a package's
+#' `.onLoad` hook so that the chain grows naturally in load order: the last
+#' package loaded ends up outermost.
+#'
+#' The call is idempotent: if the extension is already registered at any
+#' position in the chain, the function returns silently without modifying the
+#' chain. This makes it safe to call from `devtools::load_all()`, which
+#' re-executes `.onLoad`.
+#'
+#' @param name A syntactically valid R name identifying the extension (e.g.
+#'   `"mizerExtA"`). This name is used as the S4 marker class name.
+#' @param requirement A version string, installation specification, or
+#'   `NA_character_` (the default). `NA_character_` marks an in-development
+#'   extension whose S4 marker class mizer creates automatically. A version
+#'   string such as `"1.2.0"` records the minimum required package version.
+#' @param install Logical. If `TRUE`, attempt to install a missing extension
+#'   package.
+#'
+#' @return The updated extension chain, invisibly.
+#' @seealso [registerExtensions()] for registering an explicit full chain.
+#'   "Using mizer extension packages":
+#'   \code{vignette("using-extension-packages", package = "mizer")}.
+#'   "Creating a mizer extension package":
+#'   \code{vignette("creating-extension-packages", package = "mizer")}
+#' @export
+#' @family extension tools
+registerExtension <- function(name, requirement = NA_character_, install = FALSE) {
+    extension <- validateExtensionsVector(setNames(requirement, name))
+
+    current <- getRegisteredExtensions()
+
+    if (name %in% names(current)) {
+        return(invisible(current))
+    }
+
+    new_chain <- c(extension, current)
+    ensureExtensionNamespaces(new_chain, install = install)
+    defineExtensionClasses(new_chain)
+    .mizerSession$extensions <- new_chain
+
+    invisible(new_chain)
+}
+
+#' Register mizer extensions for this R session
+#'
+#' Registers an explicit full extension chain for the current R session. The
+#' order of `extensions` is the S3 dispatch order, from outermost to innermost
+#' extension. For example `c(mizerExtB = "1.2.0", mizerExtA = "0.4.1")`
+#' dispatches to `mizerExtB` methods first, then `mizerExtA` methods, then base
+#' mizer methods.
+#'
+#' A session can handle objects whose extension chain is a suffix of the
+#' registered maximal chain. For example, after registering
+#' `c(mizerExtB = "1.2.0", mizerExtA = "0.4.1")`, objects using only
+#' `c(mizerExtA = "0.4.1")` are also valid.
+#'
+#' For extension packages that register themselves incrementally from `.onLoad`,
+#' use [registerExtension()] instead.
+#'
+#' @param extensions A named character vector. Names are extension identifiers.
+#'   Values are version strings, installation specifications, or
+#'   `NA_character_`. Installed extensions only participate in S3 dispatch if
+#'   they provide an S4 marker class with the same name. `NA_character_` entries
+#'   are treated as in-development dispatch extensions and mizer creates their
+#'   marker classes automatically.
+#' @param install Logical. If `TRUE`, missing or outdated extension packages are
+#'   installed via [pak::pkg_install()]. Version strings install from CRAN;
+#'   other requirement strings (e.g. `"user/repo@v1.2.0"`) are passed directly
+#'   to pak and may refer to GitHub, local paths, or any other pak-supported
+#'   source.
+#'
+#' @return The active maximal extension chain, invisibly.
+#' @seealso [registerExtension()] for the incremental per-package variant.
+#'   "Using mizer extension packages":
+#'   \code{vignette("using-extension-packages", package = "mizer")}.
+#'   "Creating a mizer extension package":
+#'   \code{vignette("creating-extension-packages", package = "mizer")}
+#' @export
+#' @family extension tools
+registerExtensions <- function(extensions, install = FALSE) {
+    extensions <- validateExtensionsVector(extensions)
+    old <- getRegisteredExtensions()
+    relation <- compareExtensionChains(old, extensions)
+
+    if (relation %in% c("identical", "new_is_suffix")) {
+        ensureExtensionNamespaces(extensions, install = install)
+        return(invisible(old))
+    }
+
+    if (relation == "old_is_suffix") {
+        ensureExtensionNamespaces(extensions, install = install)
+        defineExtensionClasses(extensions)
+        .mizerSession$extensions <- extensions
+        return(invisible(extensions))
+    }
+
+    stop(
+        "A different extension chain is already active in this session. ",
+        "Please restart R before registering this chain."
+    )
+}
+
+#' Get the registered mizer extension chain
+#'
+#' @return A named character vector giving the maximal extension chain
+#'   registered for this R session.
+#' @seealso "Using mizer extension packages":
+#'   \code{vignette("using-extension-packages", package = "mizer")}
+#' @export
+#' @family extension tools
+getRegisteredExtensions <- function() {
+    .mizerSession$extensions
+}
+
+#' Coerce a mizer object to its registered extension class
+#'
+#' Coerces a `MizerParams` or `MizerSim` object to the S4 marker class
+#' corresponding to the object's own extension chain. For `MizerSim`, the
+#' extension chain is read from `sim@params@extensions`.
+#'
+#' @param object A `MizerParams` or `MizerSim` object.
+#' @param extensions Optional extension chain. Defaults to the chain stored in
+#'   `object`, or in `object@params` for `MizerSim`.
+#'
+#' @return The same object coerced to the appropriate marker class, or to the
+#'   base class for an empty extension chain.
+#' @seealso "Creating a mizer extension package":
+#'   \code{vignette("creating-extension-packages", package = "mizer")}
+#' @export
+#' @family extension tools
+coerceToExtensionClass <- function(object, extensions = objectExtensions(object)) {
+    if (is(object, "MizerParams")) {
+        family <- "params"
+        base_class <- "MizerParams"
+    } else if (is(object, "MizerSim")) {
+        family <- "sim"
+        base_class <- "MizerSim"
+    } else {
+        stop("Can only coerce MizerParams or MizerSim objects.")
+    }
+
+    extensions <- validateExtensionsVector(extensions)
+    assertExtensionChain(object, extensions = extensions, check_class = FALSE)
+
+    dispatch_extensions <- dispatchExtensions(extensions)
+
+    if (length(dispatch_extensions) == 0) {
+        return(methods::as(object, base_class))
+    }
+
+    target_class <- names(dispatch_extensions)[1]
+    if (family == "sim") {
+        target_class <- simExtensionClass(target_class)
+    }
+
+    methods::as(object, target_class)
+}
+
+#' Get the extension chain stored in a mizer object
+#'
+#' @param object A `MizerParams` or `MizerSim` object.
+#' @return A named character vector of extensions, or an empty character vector
+#'   if the object carries no extensions.
+#' @keywords internal
+objectExtensions <- function(object) {
+    if (is(object, "MizerParams")) {
+        return(object@extensions)
+    }
+    if (is(object, "MizerSim")) {
+        return(object@params@extensions)
+    }
+    stop("Can only get extensions for MizerParams or MizerSim objects.")
+}
+
+#' Assert that an object's extension chain is compatible with the session
+#'
+#' Stops with an informative error if the object's extension chain is not a
+#' suffix of the session's registered maximal chain, or (when `check_class` is
+#' `TRUE`) if the object does not inherit from the expected S4 marker class.
+#'
+#' @param object A `MizerParams` or `MizerSim` object.
+#' @param extensions Named character vector giving the object's extension chain.
+#'   Defaults to [objectExtensions()] applied to `object`.
+#' @param check_class Logical. If `TRUE` (default), also verify that `object`
+#'   inherits from the expected S4 marker class.
+#' @return Invisibly `TRUE`. Called for its side-effect of stopping on
+#'   incompatibility.
+#' @keywords internal
+assertExtensionChain <- function(object, extensions = objectExtensions(object),
+                                 check_class = TRUE) {
+    extensions <- validateExtensionsVector(extensions)
+    active <- getRegisteredExtensions()
+
+    if (!isSuffixChain(extensions, active)) {
+        if (length(extensions) > 0 && length(active) == 0) {
+            stop(
+                "This object uses mizer extensions but no compatible ",
+                "extension chain is registered. Please call ",
+                "`registerExtensions()` first, or load the object with ",
+                "`readParams()`."
+            )
+        }
+        stop(
+            "This object's extension chain is incompatible with the ",
+            "extension chain registered in this R session. Please restart R ",
+            "before using this object."
+        )
+    }
+
+    dispatch_extensions <- dispatchExtensions(extensions)
+
+    if (is(object, "MizerParams")) {
+        expected_class <- if (length(dispatch_extensions) == 0) {
+            "MizerParams"
+        } else {
+            names(dispatch_extensions)[1]
+        }
+    } else if (is(object, "MizerSim")) {
+        expected_class <- if (length(dispatch_extensions) == 0) {
+            "MizerSim"
+        } else {
+            simExtensionClass(names(dispatch_extensions)[1])
+        }
+    } else {
+        stop("Can only check MizerParams or MizerSim objects.")
+    }
+
+    if (isTRUE(check_class) && !is(object, expected_class)) {
+        stop(
+            "This object has extension chain ",
+            formatExtensionChain(extensions),
+            " but does not inherit from class `", expected_class, "`."
+        )
+    }
+
+    invisible(TRUE)
+}
+
+#' Validate and normalise an extensions named character vector
+#'
+#' Checks that `extensions` is a named character vector with unique,
+#' syntactically valid names, and normalises `NULL` to `character()`.
+#'
+#' @param extensions A named character vector, or `NULL`.
+#' @return A validated named character vector (possibly length-zero).
+#' @keywords internal
+validateExtensionsVector <- function(extensions) {
+    if (is.null(extensions)) {
+        extensions <- character()
+    }
+    if (!is.character(extensions)) {
+        stop("`extensions` must be a named character vector.")
+    }
+    if (length(extensions) == 0) {
+        return(character())
+    }
+    if (is.null(names(extensions))) {
+        stop("`extensions` must be a named character vector.")
+    }
+    if (anyNA(names(extensions)) || any(names(extensions) == "")) {
+        stop("All entries in `extensions` must have non-empty names.")
+    }
+    if (anyDuplicated(names(extensions))) {
+        stop("Extension names must be unique.")
+    }
+    valid_names <- make.names(names(extensions)) == names(extensions)
+    if (!all(valid_names)) {
+        stop(
+            "Extension names must be syntactically valid S4 class names: ",
+            paste(names(extensions)[!valid_names], collapse = ", ")
+        )
+    }
+    extensions
+}
+
+#' Compare two extension chains
+#'
+#' @param old Named character vector for the previously registered chain.
+#' @param new Named character vector for the proposed chain.
+#' @return One of `"identical"`, `"new_is_suffix"`, `"old_is_suffix"`, or
+#'   `"incompatible"`.
+#' @keywords internal
+compareExtensionChains <- function(old, new) {
+    if (identical(old, new)) {
+        return("identical")
+    }
+    if (isSuffixChain(new, old)) {
+        return("new_is_suffix")
+    }
+    if (isSuffixChain(old, new)) {
+        return("old_is_suffix")
+    }
+    "incompatible"
+}
+
+#' Test whether one extension chain is a suffix of another
+#'
+#' An empty `candidate` is always a suffix. Order and values must match
+#' exactly for the overlapping tail.
+#'
+#' @param candidate Named character vector to test.
+#' @param chain Named character vector that may contain `candidate` as a tail.
+#' @return `TRUE` if `candidate` is a suffix of `chain`, `FALSE` otherwise.
+#' @keywords internal
+isSuffixChain <- function(candidate, chain) {
+    candidate <- validateExtensionsVector(candidate)
+    chain <- validateExtensionsVector(chain)
+
+    if (length(candidate) == 0) {
+        return(TRUE)
+    }
+    if (length(candidate) > length(chain)) {
+        return(FALSE)
+    }
+
+    start <- length(chain) - length(candidate) + 1
+    identical(candidate, chain[start:length(chain)])
+}
+
+#' Define S4 marker classes for a set of dispatch extensions
+#'
+#' Creates a linear inheritance chain of S4 classes: the outermost extension
+#' extends the next, which extends the next, down to the base `MizerParams` /
+#' `MizerSim` class. Existing classes are checked for compatibility instead of
+#' being redefined.
+#'
+#' @param extensions Named character vector of extensions (full chain or
+#'   dispatch subset). Non-dispatch entries are silently ignored.
+#' @return Invisibly, the named character vector of dispatch extensions.
+#' @keywords internal
+defineExtensionClasses <- function(extensions) {
+    extensions <- validateExtensionsVector(extensions)
+    extensions <- dispatchExtensions(extensions)
+    parent_params <- "MizerParams"
+    parent_sim <- "MizerSim"
+
+    for (extension in rev(names(extensions))) {
+        defineOrCheckClass(extension, parent_params)
+        parent_params <- extension
+
+        sim_class <- simExtensionClass(extension)
+        defineOrCheckClass(sim_class, parent_sim)
+        parent_sim <- sim_class
+    }
+
+    invisible(extensions)
+}
+
+#' Filter an extension vector to those that participate in S3/S4 dispatch
+#'
+#' An extension participates in dispatch if its requirement is `NA_character_`
+#' (in-development) or if an S4 class with its name already exists.
+#'
+#' @param extensions Named character vector of extensions.
+#' @return A named character vector containing only the dispatch extensions,
+#'   preserving order.
+#' @keywords internal
+dispatchExtensions <- function(extensions) {
+    extensions <- validateExtensionsVector(extensions)
+    if (length(extensions) == 0) {
+        return(character())
+    }
+
+    is_dispatch_extension <- vapply(seq_along(extensions), function(i) {
+        extension <- names(extensions)[[i]]
+        requirement <- unname(extensions[[i]])
+
+        is.na(requirement) || methods::isClass(extension)
+    }, logical(1))
+
+    extensions[is_dispatch_extension]
+}
+
+#' Test whether a mizer object uses extension S4 dispatch
+#'
+#' @param object A `MizerParams` or `MizerSim` object.
+#' @return `TRUE` if the object's primary class is not the plain base class.
+#' @keywords internal
+usesExtensionDispatch <- function(object) {
+    if (is(object, "MizerParams")) {
+        return(!identical(class(object)[[1]], "MizerParams"))
+    }
+    if (is(object, "MizerSim")) {
+        return(!identical(class(object)[[1]], "MizerSim"))
+    }
+    stop("Can only check dispatch for MizerParams or MizerSim objects.")
+}
+
+#' Define an S4 class or verify it extends the expected parent
+#'
+#' If `class` does not yet exist, defines it as a virtual-free S4 class that
+#' contains `parent`, registered in `.GlobalEnv`. If `class` already exists,
+#' stops with an error unless it already extends `parent`.
+#'
+#' @param class Character string — the S4 class name to define or check.
+#' @param parent Character string — the required parent class.
+#' @return Invisibly, `class`.
+#' @keywords internal
+defineOrCheckClass <- function(class, parent) {
+    if (!methods::isClass(class)) {
+        methods::setClass(class, contains = parent, where = .GlobalEnv)
+        return(invisible(class))
+    }
+
+    if (!methods::extends(class, parent)) {
+        stop(
+            "Class `", class, "` already exists but does not contain `",
+            parent, "`."
+        )
+    }
+
+    invisible(class)
+}
+
+#' Derive the MizerSim marker class name for a given extension
+#'
+#' @param extension Character string — the extension (params) class name.
+#' @return A character string formed by appending `"Sim"` to `extension`.
+#' @keywords internal
+simExtensionClass <- function(extension) {
+    paste0(extension, "Sim")
+}
+
+#' Load (and optionally install) namespaces for all non-NA extensions
+#'
+#' For each extension whose requirement is not `NA_character_`, checks that the
+#' package is installed and up-to-date, installs or upgrades via
+#' [pak::pkg_install()] if `install = TRUE`, then calls [loadNamespace()].
+#'
+#' @param extensions Named character vector of extensions.
+#' @param install Logical. If `TRUE`, install or upgrade missing/outdated
+#'   packages via [pak::pkg_install()].
+#' @return Invisibly `TRUE`.
+#' @keywords internal
+ensureExtensionNamespaces <- function(extensions, install = FALSE) {
+    extensions <- validateExtensionsVector(extensions)
+    if (length(extensions) == 0) {
+        return(invisible(TRUE))
+    }
+
+    for (extension in names(extensions)) {
+        requirement <- unname(extensions[[extension]])
+
+        # NA means "marker class only" for tests or in-development extensions.
+        if (is.na(requirement)) {
+            next
+        }
+
+        if (!requireNamespace(extension, quietly = TRUE)) {
+            if (isTRUE(install)) {
+                pkg_spec <- if (isVersionRequirement(requirement)) {
+                    extension
+                } else {
+                    requirement
+                }
+                pak::pkg_install(pkg_spec)
+            }
+            if (!requireNamespace(extension, quietly = TRUE)) {
+                stop("Required extension package `", extension, "` is not installed.")
+            }
+        }
+
+        if (isVersionRequirement(requirement) &&
+            utils::packageVersion(extension) < package_version(requirement)) {
+            if (isTRUE(install)) {
+                pak::pkg_install(paste0(extension, "@>=", requirement))
+            } else {
+                stop(
+                    "Extension package `", extension, "` must be at least ",
+                    "version ", requirement, ". Use `install = TRUE` to upgrade."
+                )
+            }
+        }
+
+        # Skip loadNamespace() when the namespace is already being loaded
+        # (e.g. when an extension package calls registerExtensions() from its
+        # own .onLoad hook), to avoid a cyclic namespace dependency error.
+        if (!isNamespaceLoaded(extension)) {
+            loadNamespace(extension)
+        }
+    }
+
+    invisible(TRUE)
+}
+
+#' Test whether a requirement string is a dotted version number
+#'
+#' @param requirement Character string.
+#' @return `TRUE` if `requirement` matches `"X.Y.Z..."` (digits and dots only).
+#' @keywords internal
+isVersionRequirement <- function(requirement) {
+    grepl("^[0-9]+(\\.[0-9]+)*$", requirement)
+}
+
+#' Format an extension chain as a human-readable string
+#'
+#' @param extensions Named character vector of extensions.
+#' @return A character string such as `"mizerExtB -> mizerExtA"`, or
+#'   `"<empty>"` for a zero-length chain.
+#' @keywords internal
+formatExtensionChain <- function(extensions) {
+    if (length(extensions) == 0) {
+        return("<empty>")
+    }
+    paste(names(extensions), collapse = " -> ")
+}
+
+#' Strip extension classes from a mizer object
+#'
+#' Coerces a `MizerParams` or `MizerSim` object back to its plain base class,
+#' removing any S4 extension marker classes. For `MizerSim`, also strips the
+#' extension class from the embedded `params` slot.
+#'
+#' @param object A `MizerParams` or `MizerSim` object.
+#' @return The same object coerced to `MizerParams` or `MizerSim`.
+#' @keywords internal
+baseMizerClass <- function(object) {
+    if (is(object, "MizerParams")) {
+        methods::as(object, "MizerParams")
+    } else if (is(object, "MizerSim")) {
+        sim <- methods::as(object, "MizerSim")
+        sim@params <- methods::as(sim@params, "MizerParams")
+        sim
+    } else {
+        stop("Can only strip extension classes from MizerParams or MizerSim objects.")
+    }
+}
+
+#' Clear the registered extension chain
+#'
+#' Clears the session's extension registry. You can then create a new
+#' extension chain with [registerExtensions()].
+#'
+#' @return Invisibly, an empty character vector.
+#' @seealso "Using mizer extension packages":
+#'   \code{vignette("using-extension-packages", package = "mizer")}
+#' @family extension tools
+#' @export
+clearExtensionChain <- function() {
+    .mizerSession$extensions <- character()
+    invisible(character())
+}
diff --git a/R/reproduction.R b/R/reproduction.R
index 8b7d24fdb..aa75d5fde 100644
--- a/R/reproduction.R
+++ b/R/reproduction.R
@@ -1,3 +1,11 @@
+#' @name mizerRDI
+#' @rdname mizerRDI
+#' @export
+projectRDI <- function(params, n, n_pp, n_other, t = 0,
+                       e_growth, mort, e_repro, ...) {
+    UseMethod("projectRDI")
+}
+
 #' Get density-independent rate of reproduction needed to project standard
 #' mizer model
 #'
@@ -40,10 +48,11 @@
 #'   by [getMort()]. Unused.
 #'
 #' @return A numeric vector with the rate of egg production for each species.
+#' @rdname mizerRDI
 #' @export
 #' @family mizer rate functions
-mizerRDI <- function(params, n, n_pp, n_other, t,
-                     e_growth, mort, e_repro, ...) {
+projectRDI.MizerParams <- function(params, n, n_pp, n_other, t = 0,
+                                   e_growth, mort, e_repro, ...) {
     # Calculate total energy from per capita energy
     e_repro_pop <- drop((e_repro * n) %*% params@dw)
     # Assume sex_ratio = 0.5
@@ -52,6 +61,42 @@ mizerRDI <- function(params, n, n_pp, n_other, t,
     return(rdi)
 }
 
+#' @rdname mizerRDI
+#' @export
+mizerRDI <- projectRDI.MizerParams
+
+#' Get density-dependent reproduction rate during projection
+#'
+#' S3 generic used by extension-aware projections to calculate the
+#' density-dependent reproduction rate. The base method calls the selected
+#' density-dependence function in `params@rates_funcs$RDD`.
+#'
+#' @inheritParams BevertonHoltRDD
+#' @param params A MizerParams object.
+#' @param t The time for which to do the calculation.
+#'
+#' @return Vector of density-dependent reproduction rates.
+#' @export
+#' @family functions calculating density-dependent reproduction rate
+projectRDD <- function(params, rdi, species_params = params@species_params,
+                       t = 0, ...) {
+    UseMethod("projectRDD")
+}
+
+#' @rdname projectRDD
+#' @export
+projectRDD.MizerParams <- function(params, rdi,
+                                   species_params = params@species_params,
+                                   t = 0, ...) {
+    if (params@rates_funcs$RDD == "getRDD") {
+        stop('"getRDD" is not a valid name for the function giving the density',
+             'dependent reproductive rate.')
+    }
+    rdd_fn <- get(params@rates_funcs$RDD)
+    rdd_fn(rdi = rdi, species_params = species_params, params = params,
+           t = t, ...)
+}
+
 #' Choose egg production to keep egg density constant
 #'
 #' `r lifecycle::badge("experimental")`
diff --git a/R/resource_logistic.R b/R/resource_logistic.R
index 54ec0314b..7aabf7ed6 100644
--- a/R/resource_logistic.R
+++ b/R/resource_logistic.R
@@ -71,8 +71,9 @@ resource_logistic <- function(params, n, n_pp, n_other, rates, t, dt,
 #' `resource_rate` or `resource_capacity` and returns a named list with values
 #' for both. If `resource_rate` is supplied it must be at least as large as the
 #' current mortality at each size. If `resource_capacity` is supplied it must be
-#' greater than the current resource abundance wherever there is positive
-#' consumption.
+#' not be less than the current resource abundance. Where it equals the
+#' current resource abundance and there is positive consumption, it is nudged
+#' upwards slightly to avoid division by zero.
 #' @export
 balance_resource_logistic <- function(params,
                                       resource_rate, resource_capacity) {
@@ -106,11 +107,18 @@ balance_resource_logistic <- function(params,
         if (any(resource_capacity < NR)) {
             stop("I can't balance the resource if the capacity is less than the current abundance.")
         }
-        # If the capacity equals the abundance then there is no 
-        # replenishment, so this is only allowed when there is no death either.
         death <- (mu * NR) != 0
-        if (any(resource_capacity[death] == NR[death])) {
-            stop("I can't balance the resource unless the capacity is greater than the current abundance wherever there is consumption.")
+        at_capacity <- death & resource_capacity == NR
+        if (any(at_capacity)) {
+            # Large enough to survive rounding while still being tiny.
+            factor <- 1 + sqrt(.Machine$double.eps)
+            warning(
+                "The resource capacity is equal to the current resource ",
+                "abundance where there is consumption. It has been increased ",
+                "slightly to avoid division by zero.",
+                call. = FALSE
+            )
+            resource_capacity[at_capacity] <- NR[at_capacity] * factor
         }
         rr <- mu * resource_capacity / (resource_capacity - NR)
         # If the capacity equals the abundance then the rate is not determined,
diff --git a/R/resource_semichemostat.R b/R/resource_semichemostat.R
index 650b0b770..25c8fa8f7 100644
--- a/R/resource_semichemostat.R
+++ b/R/resource_semichemostat.R
@@ -71,8 +71,9 @@ resource_semichemostat <- function(params, n, n_pp, n_other, rates, t, dt,
 #' `resource_rate` or `resource_capacity` and returns a named list with values
 #' for both. If `resource_rate` is supplied it must be positive wherever the
 #' current resource mortality is positive. If `resource_capacity` is supplied it
-#' must be greater than the current resource abundance wherever there is
-#' positive consumption.
+#' must not be less than the current resource abundance. Where it equals the
+#' current resource abundance and there is positive consumption, it is nudged
+#' upwards slightly to avoid division by zero.
 #' @export
 balance_resource_semichemostat <- function(params,
                                            resource_rate, resource_capacity) {
@@ -103,11 +104,18 @@ balance_resource_semichemostat <- function(params,
         if (any(resource_capacity < NR)) {
             stop("I can't balance the resource if the capacity is less than the current abundance.")
         }
-        # If the capacity equals the abundance then there is no 
-        # replenishment, so this is only allowed when there is no death either.
         has_death <- (mu * NR) != 0
-        if (any(resource_capacity[has_death] <= NR[has_death])) {
-            stop("I can't balance the resource unless the capacity is greater than the current abundance wherever there is consumption.")
+        at_capacity <- has_death & resource_capacity == NR
+        if (any(at_capacity)) {
+            # Large enough to survive rounding while still being tiny.
+            factor <- 1 + sqrt(.Machine$double.eps)
+            warning(
+                "The resource capacity is equal to the current resource ",
+                "abundance where there is consumption. It has been increased ",
+                "slightly to avoid division by zero.",
+                call. = FALSE
+            )
+            resource_capacity[at_capacity] <- NR[at_capacity] * factor
         }
         rr <- mu * NR / (resource_capacity - NR)
         # If the capacity equals the abundance then the rate is not determined,
diff --git a/R/saveParams.R b/R/saveParams.R
index 5ee9d63f3..bcec216c5 100644
--- a/R/saveParams.R
+++ b/R/saveParams.R
@@ -1,55 +1,52 @@
-#' Save a MizerParams object to file, and restore it
+#' Save and restore mizer objects
 #' 
 #' `r lifecycle::badge("experimental")`
 #' `saveParams()` saves a MizerParams object to a file. This can then be
-#' restored with `readParams()`.
+#' restored with `readParams()`. `saveSim()` and `readSim()` provide the same
+#' lifecycle for MizerSim objects.
 #' 
 #' Issues a warning if the model you are saving relies on some custom functions.
 #' Before saving a model you may want to set its metadata with
 #' [setMetadata()].
 #' 
 #' @param params A MizerParams object
-#' @param file The name of the file or a connection where the MizerParams object
-#'   is saved to or read from.
-#' @return NULL invisibly
+#' @param file The name of the file or a connection where the object is saved
+#'   to or read from.
+#' @param install_extensions Logical. Should [readParams()] or [readSim()]
+#'   attempt to install missing extension packages before registering the saved
+#'   extension chain?
+#' @return `saveParams()` and `saveSim()` return NULL invisibly.
+#'   `readParams()` returns a MizerParams object. `readSim()` returns a MizerSim
+#'   object.
+#' @seealso "Using mizer extension packages":
+#'   \code{vignette("using-extension-packages", package = "mizer")}
 #' @export
 saveParams <- function(params, file) {
     UseMethod("saveParams")
 }
 #' @export
 saveParams.MizerParams <- function(params, file) {
-    params <- validParams(params)
-    
-    kernel_fns <- paste0(unique(params@species_params$pred_kernel_type),
-                         "_pred_kernel")
-    funs <- c(params@rates_funcs, 
-              params@resource_dynamics,
-              params@other_dynamics,
-              params@other_encounter,
-              params@other_mort,
-              unique(params@gear_params$sel_func),
-              kernel_fns)
-    packages <- c("mizer", names(params@extensions))
-    missing <- !sapply(packages, requireNamespace, quietly = TRUE)
-    if (any(missing)) {
-        stop("Some required extension packages are not installed: ",
-             paste(packages[missing], collapse = ", "))
-    }
-    custom <- sapply(funs, is_custom, packages = packages)
-    if (any(custom)) {
-        warning("Your model is using the functions ",
-                paste(funs[custom], collapse = ", "),
-                ". To share your model you need to share not only the ",
-                "params object but also an R script or R Markdown file ",
-                "defining these functions.")
-    }
-    saveRDS(params, file = file)
+    params <- validateParamsForSaving(params)
+    checkRequiredExtensionPackages(params)
+    checkCustomFunctions(params)
+
+    saveRDS(baseMizerClass(params), file = file)
 }
 
 #' @rdname saveParams
 #' @export
-readParams <- function(file) {
-    params <- validParams(readRDS(file))
+readParams <- function(file, install_extensions = FALSE) {
+    params <- readRDS(file)
+    if (needs_upgrading(params)) {
+        params <- suppressWarnings(upgradeParams(params))
+    }
+
+    if (length(params@extensions) > 0) {
+        registerExtensions(params@extensions, install = install_extensions)
+    }
+
+    params <- coerceToExtensionClass(params)
+    params <- validParams(params)
     
     # # Check for missing packages
     # packages <- names(params@extensions)
@@ -84,6 +81,95 @@ readParams <- function(file) {
     params
 }
 
+#' @rdname saveParams
+#' @param sim A MizerSim object
+#' @export
+saveSim <- function(sim, file) {
+    UseMethod("saveSim")
+}
+
+#' @export
+saveSim.MizerSim <- function(sim, file) {
+    sim <- validateSimForSaving(sim)
+    checkRequiredExtensionPackages(sim@params)
+    checkCustomFunctions(sim@params)
+
+    saveRDS(baseMizerClass(sim), file = file)
+}
+
+#' @rdname saveParams
+#' @export
+readSim <- function(file, install_extensions = FALSE) {
+    sim <- readRDS(file)
+    if (needs_upgrading(sim)) {
+        sim <- suppressWarnings(upgradeSim(sim))
+    }
+
+    if (length(sim@params@extensions) > 0) {
+        registerExtensions(sim@params@extensions, install = install_extensions)
+    }
+
+    sim@params <- coerceToExtensionClass(sim@params)
+    sim <- coerceToExtensionClass(sim)
+    sim <- validSim(sim)
+
+    sim
+}
+
+validateParamsForSaving <- function(params) {
+    tryCatch(
+        validParams(params),
+        error = function(e) {
+            checkRequiredExtensionPackages(params)
+            stop(e)
+        }
+    )
+}
+
+validateSimForSaving <- function(sim) {
+    tryCatch(
+        validSim(sim),
+        error = function(e) {
+            checkRequiredExtensionPackages(sim@params)
+            stop(e)
+        }
+    )
+}
+
+checkRequiredExtensionPackages <- function(params) {
+    packages <- requiredExtensionPackages(params)
+    missing <- !sapply(packages, requireNamespace, quietly = TRUE)
+    if (any(missing)) {
+        stop("Some required extension packages are not installed: ",
+             paste(packages[missing], collapse = ", "))
+    }
+}
+
+checkCustomFunctions <- function(params) {
+    packages <- requiredExtensionPackages(params)
+    kernel_fns <- paste0(unique(params@species_params$pred_kernel_type),
+                         "_pred_kernel")
+    funs <- c(params@rates_funcs,
+              params@resource_dynamics,
+              params@other_dynamics,
+              params@other_encounter,
+              params@other_mort,
+              unique(params@gear_params$sel_func),
+              kernel_fns)
+    custom <- sapply(funs, is_custom, packages = packages)
+    if (any(custom)) {
+        warning("Your model is using the functions ",
+                paste(funs[custom], collapse = ", "),
+                ". To share your model you need to share not only the ",
+                "params object but also an R script or R Markdown file ",
+                "defining these functions.")
+    }
+}
+
+requiredExtensionPackages <- function(params) {
+    c("mizer", names(params@extensions)[!is.na(params@extensions)])
+}
+
 is_custom <- function(name, packages) {
     !any(sapply(packages, 
                 function(x, fun) {
diff --git a/R/setResource.R b/R/setResource.R
index a85a932ae..13f5b19c3 100644
--- a/R/setResource.R
+++ b/R/setResource.R
@@ -69,10 +69,11 @@
 #' @param resource_capacity Optional. Vector of resource intrinsic carrying
 #'   capacities or coefficient in the power-law for the capacity, see
 #'   "Setting resource dynamics" below.
-#'   The resource capacity must be larger than the resource abundance.
+#'   The resource capacity must not be smaller than the resource abundance.
 #' @param resource_level Optional. The ratio between the current resource number
 #'   density and the resource capacity. Either a number used at all sizes or a
-#'   vector specifying a value for each size. Must be strictly between 0 and 1,
+#'   vector specifying a value for each size. Must be greater than 0 and at
+#'   most 1,
 #'   except at sizes where the resource is zero, where it can be `NaN`. This
 #'   determines the resource capacity, so do not specify both this and
 #'   `resource_capacity`.
@@ -172,8 +173,8 @@ setResource.MizerParams <- function(params,
             stop("The resource level must be defined everywhere where the current resource is non-vanishing.")
         }
         if (any(NR > 0 &
-                (resource_level <= 0 | resource_level >= 1))) {
-            stop("The 'resource_level' must always be strictly between 0 and 1.")
+                (resource_level <= 0 | resource_level > 1))) {
+            stop("The 'resource_level' must always be greater than 0 and at most 1.")
         }
         resource_capacity <- NR / resource_level
         resource_capacity[is.nan(resource_level)] <- 0
@@ -246,13 +247,6 @@ setResource.MizerParams <- function(params,
             resource_rate <- params@rr_pp
         }
 
-        # For balancing the resource capacity must be above current abundance
-        # except where both are zero
-        if (!is.null(resource_capacity) &&
-            any(resource_capacity <= NR & NR > 0)) {
-            stop("The 'resource_capacity' must always be greater than current resource number density.")
-        }
-
         balance_fn <- get0(paste0("balance_", params@resource_dynamics))
         if (!is.function(balance_fn)) {
             stop("There is no balancing function available for ",
diff --git a/R/steady.R b/R/steady.R
index 5e52f261a..746af6886 100644
--- a/R/steady.R
+++ b/R/steady.R
@@ -140,7 +140,7 @@ projectToSteady.MizerParams <- function(params,
     # get functions
     resource_dynamics_fn <- get(params@resource_dynamics)
     other_dynamics_fns <- lapply(params@other_dynamics, get)
-    rates_fns <- lapply(params@rates_funcs, get)
+    rates_fns <- projectRateFunctions(params)
     r <- rates_fns$Rates(
         params, n = params@initial_n,
         n_pp = params@initial_n_pp,
diff --git a/R/summary_methods.R b/R/summary_methods.R
index 41d04f728..509e9be6a 100644
--- a/R/summary_methods.R
+++ b/R/summary_methods.R
@@ -232,6 +232,7 @@ getDiet.MizerParams <- function(params,
 #' \eqn{T_i(w)}.
 #'
 #' @inheritParams getDiet
+#' @param ... Unused
 #'
 #' @return An `ArraySpeciesBySize` object (species x size) with the trophic
 #'   level of individuals at each size. Entries below the egg size of each
@@ -336,7 +337,7 @@ getTrophicLevel.MizerParams <- function(params,
 #' abundance density, and \eqn{T_i(w)} is the size-resolved trophic level
 #' from [getTrophicLevel()].
 #'
-#' @inheritParams getDiet
+#' @inheritParams getTrophicLevel
 #'
 #' @return A named vector with the mean trophic level for each species.
 #'
diff --git a/R/upgrade.R b/R/upgrade.R
index 835ccb2d3..5bc4c1db8 100644
--- a/R/upgrade.R
+++ b/R/upgrade.R
@@ -33,6 +33,7 @@ needs_upgrading <- function(object) {
 #' @seealso [validParams()]
 upgradeParams <- function(params) {
     if (!needs_upgrading(params)) return(params)
+    original_params <- params
 
     # Preserve time_created
     if (.hasSlot(params, "time_created")) {
@@ -216,6 +217,8 @@ upgradeParams <- function(params) {
         }
         if (.hasSlot(params, "diffusion")) {
             pnew@ext_diffusion[] <- slot(params, "diffusion")
+        } else if (.hasSlot(params, "ext_diffusion")) {
+            pnew@ext_diffusion <- params@ext_diffusion
         }
         if (.hasSlot(params, "initial_n_other")) {
             pnew@initial_n_other <- params@initial_n_other
@@ -233,6 +236,8 @@ upgradeParams <- function(params) {
         }
         if (.hasSlot(params, "other_pred_mort")) {
             pnew@other_mort <- params@other_pred_mort
+        } else if (.hasSlot(params, "other_mort")) {
+            pnew@other_mort <- params@other_mort
         }
         if (.hasSlot(params, "plankton_dynamics")) {
             if (is.function(params@plankton_dynamics)) {
@@ -247,6 +252,8 @@ upgradeParams <- function(params) {
                     pnew@resource_dynamics <- params@plankton_dynamics
                 }
             }
+        } else if (.hasSlot(params, "resource_dynamics")) {
+            pnew@resource_dynamics <- params@resource_dynamics
         }
         if (.hasSlot(params, "plankton_params")) {
             pnew@resource_params <- params@plankton_params
@@ -295,6 +302,22 @@ upgradeParams <- function(params) {
             pnew@extensions <- params@extensions
         }
 
+        if (.hasSlot(params, "rates_funcs")) {
+            pnew@rates_funcs <- params@rates_funcs
+        }
+        if (.hasSlot(params, "given_species_params")) {
+            pnew@given_species_params <- params@given_species_params
+        }
+        if (.hasSlot(params, "selectivity")) {
+            pnew@selectivity <- params@selectivity
+        }
+        if (.hasSlot(params, "catchability")) {
+            pnew@catchability <- params@catchability
+        }
+        if (.hasSlot(params, "use_predation_diffusion")) {
+            pnew@use_predation_diffusion <- params@use_predation_diffusion
+        }
+
         # renaming catch_observed to yield_observed in mizer 2.3
         if ("catch_observed" %in% names(pnew@species_params)) {
             pnew@species_params$yield_observed <-
@@ -374,6 +397,23 @@ upgradeParams <- function(params) {
     params <- validParams(params, info_level = 0)
     params@time_modified <- lubridate::now()
     params@time_created <- time_created
+    reinstateParamsClass(params, original_params)
+}
+
+reinstateParamsClass <- function(params, original_params) {
+    original_class <- class(original_params)[[1]]
+    if (identical(original_class, "MizerParams")) {
+        return(params)
+    }
+
+    params <- as(params, original_class)
+    extra_slots <- setdiff(slotNames(original_params), slotNames("MizerParams"))
+    for (slot in extra_slots) {
+        if (.hasSlot(params, slot)) {
+            slot(params, slot) <- slot(original_params, slot)
+        }
+    }
+    validObject(params)
     params
 }
 
diff --git a/README.Rmd b/README.Rmd
index 144e293a6..6c4a4027b 100644
--- a/README.Rmd
+++ b/README.Rmd
@@ -51,10 +51,13 @@ since 2014
 Mizer is still under active
 development. Version 2.0 has increased the user-friendliness and the
 flexibility of the framework. Contributions from the user community are very
-welcome. There is a sister package called 
+welcome. There is a sister package called
 [mizerExperimental](https://sizespectrum.org/mizerExperimental/) where user
-contributions can be checked out and receive feedback from the community. 
-Example mizer models can be contributed to 
+contributions can be checked out and receive feedback from the community.
+A growing number of other extension packages add new biology such as
+temperature dependence, starvation mortality, seasonal dynamics, and more —
+see the [list of extension packages](https://sizespectrum.org/mizer/articles/using-extension-packages.html).
+Example mizer models can be contributed to
 [mizerExamples](https://sizespectrum.org/mizerExamples/). Follow us on
 [twitter](https://x.com/mizer_model) and read our 
 [blog](https://blog.mizer.sizespectrum.org) to stay up-to-date with new
diff --git a/README.md b/README.md
index 7f7977b2a..899931e26 100644
--- a/README.md
+++ b/README.md
@@ -3,7 +3,7 @@
 
 <div style="text-align: center;">
 
-<img src="man/figures/mizer.png" style='height: 50%; width: 50%; object-fit: contain' title="mizer logo created by Kira Askaroff (www.kiraaskaroff.com)" alt="mizer logo"/>
+<img src="man/figures/mizer.png" style='height: 50%; width: 50%; object-fit: contain' title="mizer logo created by Kira Askaroff (www.kiraaskaroff.com)"/>
 
 [![CRAN
 Status](https://www.r-pkg.org/badges/version-ago/mizer)](https://cran.r-project.org/package=mizer)
@@ -33,7 +33,7 @@ spectrum. Size-based models can be complicated, so mizer contains many
 default options that you can however change when needed.
 
 <a href="https://sizespectrum.org/mizer/reference/figures/mizer_workflow.png" target="_blank">
-<img src="man/figures/mizer_workflow.png" style='height: 100%; width: 100%; object-fit: contain' title="mizer workflow" alt="mizer workflow"/>
+<img src="man/figures/mizer_workflow.png" style='height: 100%; width: 100%; object-fit: contain' title="mizer workflow"/>
 </a>
 
 <!-- Mizer can also be used to create web apps that allow users to explore models -->
@@ -54,7 +54,11 @@ user-friendliness and the flexibility of the framework. Contributions
 from the user community are very welcome. There is a sister package
 called [mizerExperimental](https://sizespectrum.org/mizerExperimental/)
 where user contributions can be checked out and receive feedback from
-the community. Example mizer models can be contributed to
+the community. A growing number of other extension packages add new
+biology such as temperature dependence, starvation mortality, seasonal
+dynamics, and more — see the [list of extension
+packages](https://sizespectrum.org/mizer/articles/using-extension-packages.html).
+Example mizer models can be contributed to
 [mizerExamples](https://sizespectrum.org/mizerExamples/). Follow us on
 [twitter](https://x.com/mizer_model) and read our
 [blog](https://blog.mizer.sizespectrum.org) to stay up-to-date with new
@@ -100,14 +104,14 @@ plots:
 plot(sim)
 ```
 
-![Plot showing simulation results](man/figures/unnamed-chunk-4-1.png)<!-- -->
+![](man/figures/unnamed-chunk-4-1.png)<!-- -->
 
 See the accompanying [Get
 started](https://sizespectrum.org/mizer/articles/mizer.html) page for
 more details on how the package works, including detailed examples.
 
 <a href="https://sizespectrum.org/mizer/reference/figures/size_spectrum.png" target="_blank">
-<img src="man/figures/size.png" style='height: 95%; width: 95%; object-fit: contain' title="Size spectrum dynamics" alt="Size spectrum dynamics"/>
+<img src="man/figures/size.png" style='height: 95%; width: 95%; object-fit: contain' title="Size spectrum dynamics"/>
 </a>
 
 ## Dynamic multi-species size-spectrum model
@@ -146,7 +150,7 @@ populations and ecosystems, and for developing effective fisheries
 management strategies that account for the complex interactions among
 species and their environment.
 
-<img src="man/figures/size_selective_fishing.png" style='height: 95%; width: 95%; object-fit: contain' title="Effect of size-selective fishing" alt="Effect of size-selective fishing"/>
+<img src="man/figures/size_selective_fishing.png" style='height: 95%; width: 95%; object-fit: contain' title="Effect of size-selective fishing"/>
 
 A mizer model captures the interactions between species. The growth
 rates of fish are determined by the availability of prey and the death
@@ -194,7 +198,7 @@ traffic jams.
 An analogy with road traffic may be helpful:
 
 <a href="https://sizespectrum.org/mizer/reference/figures/traffic_jam.png" target="_blank">
-<img src="man/figures/traffic.png" style='height: 95%; width: 95%; object-fit: contain' title="Fish growth traffic jam" alt="Fish growth traffic jam"/>
+<img src="man/figures/traffic.png" style='height: 95%; width: 95%; object-fit: contain' title="Fish growth traffic jam"/>
 </a>
 
 In road traffic, if traffic density gets too high in a section of the
diff --git a/docs/404.html b/docs/404.html
index aacd5070f..e396a4eff 100644
--- a/docs/404.html
+++ b/docs/404.html
@@ -17,7 +17,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="https://sizespectrum.org/mizer/lightswitch.js"></script><script src="https://sizespectrum.org/mizer/deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
+</script><script src="https://sizespectrum.org/mizer/lightswitch.js"></script><script src="https://sizespectrum.org/mizer/deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
 <link href="https://sizespectrum.org/mizer/deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
 <script src="https://sizespectrum.org/mizer/deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="https://sizespectrum.org/mizer/deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet">
 <link href="https://sizespectrum.org/mizer/deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet">
@@ -36,7 +36,7 @@
 
     <a class="navbar-brand me-2" href="https://sizespectrum.org/mizer/index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -59,13 +59,21 @@
     <li><a class="dropdown-item" href="https://sizespectrum.org/mizer/articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="https://sizespectrum.org/mizer/articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="https://sizespectrum.org/mizer/articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="https://sizespectrum.org/mizer/articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="https://sizespectrum.org/mizer/articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="https://sizespectrum.org/mizer/articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="https://sizespectrum.org/mizer/articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="https://sizespectrum.org/mizer/articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="https://sizespectrum.org/mizer/articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="https://sizespectrum.org/mizer/articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="https://sizespectrum.org/mizer/articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="https://sizespectrum.org/mizer/articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="https://sizespectrum.org/mizer/articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="https://sizespectrum.org/mizer/articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="https://sizespectrum.org/mizer/articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="https://sizespectrum.org/mizer/articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="https://sizespectrum.org/mizer/articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -78,6 +86,7 @@
 <li class="nav-item"><a class="nav-link" href="https://sizespectrum.org/mizer/news/index.html">Changelog</a></li>
       </ul>
 <ul class="navbar-nav">
+<li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
 <li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="search.json">
 </form></li>
diff --git a/docs/AGENTS.html b/docs/AGENTS.html
index 6a18fbaa3..62cf1d3a8 100644
--- a/docs/AGENTS.html
+++ b/docs/AGENTS.html
@@ -1,11 +1,11 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en-GB"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Coding Instructions • mizer</title><!-- favicons --><link rel="icon" type="image/png" sizes="96x96" href="favicon-96x96.png"><link rel="icon" type="”image/svg+xml”" href="favicon.svg"><link rel="apple-touch-icon" sizes="180x180" href="apple-touch-icon.png"><link rel="icon" sizes="any" href="favicon.ico"><link rel="manifest" href="site.webmanifest"><!-- mathjax math --><script src="https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/tex-mml-chtml.js" integrity="sha256-MASABpB4tYktI2Oitl4t+78w/lyA+D7b/s9GEP0JOGI=" crossorigin="anonymous"></script><script>
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+</script><script src="lightswitch.js"></script><script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="deps/headroom-0.11.0/headroom.min.js"></script><script src="deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="deps/search-1.0.0/fuse.min.js"></script><script src="deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="AI Agent Instructions for mizer"><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
 
 
@@ -13,7 +13,7 @@
 
     <a class="navbar-brand me-2" href="index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -34,13 +34,21 @@
     <li><a class="dropdown-item" href="articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
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     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="articles/analytic_test.html">Analytic Test</a></li>
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@@ -50,7 +58,8 @@
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 <li class="nav-item"><a class="nav-link" href="reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="search.json"></form></li>
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 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -68,16 +77,62 @@
 </nav><div class="container template-title-body">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="logo.png" class="logo" alt=""><h1>Coding Instructions</h1>
+      <img src="logo.png" class="logo" alt=""><h1>AI Agent Instructions for mizer</h1>
       <small class="dont-index">Source: <a href="https://github.com/sizespectrum/mizer/blob/HEAD/AGENTS.md" class="external-link"><code>AGENTS.md</code></a></small>
     </div>
 
-<div id="coding-instructions" class="section level1">
-
-<p>Please refer to <code>.github/copilot-instructions.md</code> for all project guidelines.</p>
+<div id="ai-agent-instructions-for-mizer" class="section level1">
+
+<p>mizer is an R package for dynamic multi-species size-spectrum modelling of fish communities.</p>
+<div class="section level2">
+<h2 id="common-commands">Common Commands<a class="anchor" aria-label="anchor" href="#common-commands"></a></h2>
+<div class="sourceCode" id="cb1"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="fu">devtools</span><span class="fu">::</span><span class="fu"><a href="https://devtools.r-lib.org/reference/load_all.html" class="external-link">load_all</a></span><span class="op">(</span><span class="op">)</span>        <span class="co"># Load package for development</span></span>
+<span><span class="fu">devtools</span><span class="fu">::</span><span class="fu"><a href="https://devtools.r-lib.org/reference/document.html" class="external-link">document</a></span><span class="op">(</span><span class="op">)</span>        <span class="co"># Regenerate NAMESPACE and man/ pages from roxygen2</span></span>
+<span><span class="fu">devtools</span><span class="fu">::</span><span class="fu"><a href="https://devtools.r-lib.org/reference/test.html" class="external-link">test</a></span><span class="op">(</span><span class="op">)</span>            <span class="co"># Run all tests</span></span>
+<span><span class="fu">devtools</span><span class="fu">::</span><span class="fu"><a href="https://devtools.r-lib.org/reference/check.html" class="external-link">check</a></span><span class="op">(</span><span class="op">)</span>           <span class="co"># Full R CMD check</span></span>
+<span><span class="fu">lintr</span><span class="fu">::</span><span class="fu"><a href="https://lintr.r-lib.org/reference/lint.html" class="external-link">lint_package</a></span><span class="op">(</span><span class="op">)</span>       <span class="co"># Lint the package</span></span>
+<span></span>
+<span><span class="co"># Run a single test file</span></span>
+<span><span class="fu">testthat</span><span class="fu">::</span><span class="fu"><a href="https://testthat.r-lib.org/reference/test_file.html" class="external-link">test_file</a></span><span class="op">(</span><span class="st">"tests/testthat/test-filename.R"</span><span class="op">)</span></span>
+<span></span>
+<span><span class="co"># After editing C++ source</span></span>
+<span><span class="fu">devtools</span><span class="fu">::</span><span class="fu"><a href="https://pkgbuild.r-lib.org/reference/clean_dll.html" class="external-link">clean_dll</a></span><span class="op">(</span><span class="op">)</span>; <span class="fu">devtools</span><span class="fu">::</span><span class="fu"><a href="https://devtools.r-lib.org/reference/load_all.html" class="external-link">load_all</a></span><span class="op">(</span><span class="op">)</span></span></code></pre></div>
+</div>
+<div class="section level2">
+<h2 id="architecture">Architecture<a class="anchor" aria-label="anchor" href="#architecture"></a></h2>
+<p><strong><code>MizerParams</code></strong> (S4) — central object passed to nearly all functions. Modified via setter functions that return new copies: <code>setFishing(params, ...)</code>, etc.</p>
+<p><strong><code>MizerSim</code></strong> (S4) — stores simulation output: arrays <code>n</code> (time × species × size), <code>n_pp</code>, <code>n_other</code>, <code>effort</code>, and the <code>MizerParams</code> used.</p>
+<p><strong><code>ArraySpeciesBySize</code></strong> / <strong><code>ArraySpeciesByTime</code></strong> (S3) — wrap 2D arrays with metadata. When assigning back to S4 slots, use <code>slot[] &lt;- value</code> (not <code>slot &lt;- value</code>) to strip the class.</p>
+<p><strong>Customisable rate functions</strong>: users replace rate functions by storing a custom function name in <code>params@rates_funcs</code>. Dispatch via <code>get(params@rates_funcs$FunctionName)(params, ...)</code>.</p>
+<p><strong>Auto-generated files</strong> — never edit <code>NAMESPACE</code>, <code>man/</code>, <code>RcppExports.R</code>, or <code>RcppExports.cpp</code> directly.</p>
+</div>
+<div class="section level2">
+<h2 id="code-conventions">Code Conventions<a class="anchor" aria-label="anchor" href="#code-conventions"></a></h2>
+<ul><li>
+<strong>Indentation</strong>: 4 spaces</li>
+<li>
+<strong>Naming</strong>: camelCase or snake_case for functions/variables; PascalCase for classes</li>
+<li>
+<strong>Language</strong>: British English (en-GB) — “colour”, “behaviour”, “modelling”</li>
+</ul></div>
+<div class="section level2">
+<h2 id="testing">Testing<a class="anchor" aria-label="anchor" href="#testing"></a></h2>
+<ul><li>Use <code>expect_doppelganger()</code> (vdiffr) for plot tests</li>
+<li>Use snapshot tests for complex outputs</li>
+<li>Run <code><a href="https://devtools.r-lib.org/reference/document.html" class="external-link">devtools::document()</a></code> after adding or changing exports</li>
+<li>Run <code><a href="https://devtools.r-lib.org/reference/load_all.html" class="external-link">devtools::load_all()</a></code> before running tests</li>
+<li>After modifying the <code>MizerParams</code> or <code>MizerSim</code> class (new/removed slots, changes to <code>@rates_funcs</code>, etc.), follow the steps in <code>.claude/skills/upgrade-mizer-data.md</code>. Claude Code users can invoke this as <code>/upgrade-mizer-data</code>.</li>
+</ul></div>
+<div class="section level2">
+<h2 id="before-submitting">Before Submitting<a class="anchor" aria-label="anchor" href="#before-submitting"></a></h2>
+<ul><li>After adding a new file under <code>R/</code>, add it to the <code>Collate:</code> field in <code>DESCRIPTION</code> (roxygen2 does not manage this automatically in this package).</li>
+<li>Update <code>NEWS.md</code> when adding features or fixing bugs.</li>
+</ul></div>
 </div>
 
-  </main></div>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside></div>
 
 
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diff --git a/docs/CLAUDE.html b/docs/CLAUDE.html
new file mode 100644
index 000000000..3af5d5205
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+++ b/docs/CLAUDE.html
@@ -0,0 +1,104 @@
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+<!-- Generated by pkgdown: do not edit by hand --><html lang="en-GB"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>NA • mizer</title><!-- favicons --><link rel="icon" type="image/png" sizes="96x96" href="favicon-96x96.png"><link rel="icon" type="”image/svg+xml”" href="favicon.svg"><link rel="apple-touch-icon" sizes="180x180" href="apple-touch-icon.png"><link rel="icon" sizes="any" href="favicon.ico"><link rel="manifest" href="site.webmanifest"><!-- mathjax math --><script src="https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/tex-mml-chtml.js" integrity="sha256-MASABpB4tYktI2Oitl4t+78w/lyA+D7b/s9GEP0JOGI=" crossorigin="anonymous"></script><script>
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+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
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+    <div id="navbar" class="collapse navbar-collapse ms-3">
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="articles/mizer.html">Get started</a></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://mizer.course.sizespectrum.org">Course</a></li>
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+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="articles/model_description.html">The General Mizer Size-spectrum Model</a></li>
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+    <li><h6 class="dropdown-header" data-toc-skip>Tutorials</h6></li>
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+    <li><a class="dropdown-item" href="articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
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diff --git a/docs/CONTRIBUTING.html b/docs/CONTRIBUTING.html
index 7972f43c8..2a3f9b030 100644
--- a/docs/CONTRIBUTING.html
+++ b/docs/CONTRIBUTING.html
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-</script><script src="lightswitch.js"></script><script src="deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="deps/headroom-0.11.0/headroom.min.js"></script><script src="deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="deps/search-1.0.0/fuse.min.js"></script><script src="deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="How you can contribute to mizer development"><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
+</script><script src="lightswitch.js"></script><script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="deps/headroom-0.11.0/headroom.min.js"></script><script src="deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="deps/search-1.0.0/fuse.min.js"></script><script src="deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="How you can contribute to mizer development"><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
 
 
@@ -13,7 +13,7 @@
 
     <a class="navbar-brand me-2" href="index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -34,13 +34,21 @@
     <li><a class="dropdown-item" href="articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -50,7 +58,8 @@
   </ul></li>
 <li class="nav-item"><a class="nav-link" href="reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
diff --git a/docs/articles/a_multispecies_model_of_the_north_sea.html b/docs/articles/a_multispecies_model_of_the_north_sea.html
index d4bbbc2d2..a2f5955fb 100644
--- a/docs/articles/a_multispecies_model_of_the_north_sea.html
+++ b/docs/articles/a_multispecies_model_of_the_north_sea.html
@@ -17,7 +17,7 @@
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+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
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@@ -31,7 +31,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -54,13 +54,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -73,6 +81,7 @@
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
       </ul>
 <ul class="navbar-nav">
+<li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
 <li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json">
 </form></li>
@@ -344,7 +353,7 @@ <h2 id="setting-up-and-running-the-simulation">Setting up and running the simula
 change over time.</p>
 <div class="sourceCode" id="cb17"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu"><a href="../reference/plotBiomass.html">plotBiomass</a></span><span class="op">(</span><span class="va">sim</span><span class="op">)</span></span></code></pre></div>
-<p><img src="a_multispecies_model_of_the_north_sea_files/figure-html/plot_ns_biomass-1.png" class="r-plt" width="700"></p>
+<p><img src="a_multispecies_model_of_the_north_sea_files/figure-html/plot_ns_biomass-1.png" class="r-plt" alt="" width="700"></p>
 <p>To explore the state of the community it is useful to calculate
 indicators of the unexploited community. Therefore we also project
 forward to the steady state with 0 fishing effort.</p>
diff --git a/docs/articles/a_multispecies_model_of_the_north_sea_files/figure-html/plot_ns_indicators-1.png b/docs/articles/a_multispecies_model_of_the_north_sea_files/figure-html/plot_ns_indicators-1.png
index c2105895b..b36084088 100644
Binary files a/docs/articles/a_multispecies_model_of_the_north_sea_files/figure-html/plot_ns_indicators-1.png and b/docs/articles/a_multispecies_model_of_the_north_sea_files/figure-html/plot_ns_indicators-1.png differ
diff --git a/docs/articles/analytic_test.html b/docs/articles/analytic_test.html
new file mode 100644
index 000000000..1b5fb6448
--- /dev/null
+++ b/docs/articles/analytic_test.html
@@ -0,0 +1,681 @@
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+<!-- Generated by pkgdown: do not edit by hand --><html lang="en-GB">
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+
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+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
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+    <li><a class="dropdown-item" href="../articles/trait_model.html">The Trait-Based Model</a></li>
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+    <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
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+</nav><div class="container template-article">
+
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+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Analytic Test</h1>
+            
+      
+      <small class="dont-index">Source: <a href="https://github.com/sizespectrum/mizer/blob/HEAD/vignettes/analytic_test.Rmd" class="external-link"><code>vignettes/analytic_test.Rmd</code></a></small>
+      <div class="d-none name"><code>analytic_test.Rmd</code></div>
+    </div>
+
+    
+    
+<p>This vignette describes an analytical test for the transport equation
+solver used in mizer.</p>
+<div class="section level2">
+<h2 id="the-transport-equation">The transport equation<a class="anchor" aria-label="anchor" href="#the-transport-equation"></a>
+</h2>
+<p>The time evolution of the size spectrum <span class="math inline">\(N(w)\)</span> is described by the McKendrick-von
+Foerster equation with an added diffusion term:</p>
+<p><span class="math display">\[\begin{equation}
+  \frac{\partial N}{\partial t} + \frac{\partial}{\partial w} \left( g N
+- \frac{1}{2}\frac{\partial(D N)}{\partial w} \right) = -\mu N
+\end{equation}\]</span></p>
+<p>where <span class="math inline">\(g(w)\)</span> is the growth rate,
+<span class="math inline">\(\mu(w)\)</span> is the mortality rate and
+<span class="math inline">\(D(w)\)</span> is the diffusion rate.</p>
+</div>
+<div class="section level2">
+<h2 id="analytical-solution-for-power-law-rates">Analytical solution for power-law rates<a class="anchor" aria-label="anchor" href="#analytical-solution-for-power-law-rates"></a>
+</h2>
+<p>We look for a steady state solution <span class="math inline">\(N(w)\)</span> when the rates are power laws of the
+form:</p>
+<p><span class="math display">\[\begin{align}
+g(w) &amp;= A w^p \\
+\mu(w) &amp;= B w^{p-1} \\
+D(w) &amp;= K w^{p+1}
+\end{align}\]</span></p>
+<p>We try a power-law ansatz for the solution: <span class="math display">\[ N(w) = C w^{-\lambda} \]</span> Substituting
+these forms into the transport equation at steady state (<span class="math inline">\(\partial N / \partial t = 0\)</span>):</p>
+<p><span class="math display">\[ \frac{\partial}{\partial w} \left( A
+w^p C w^{-\lambda} - \frac{1}{2}\frac{\partial}{\partial w}(K w^{p+1} C
+w^{-\lambda}) \right) = - B w^{p-1} C w^{-\lambda} \]</span></p>
+<p>Simplifying the term inside the derivative: <span class="math display">\[ D N = K C w^{p+1-\lambda} \]</span> <span class="math display">\[ \frac{\partial(D N)}{\partial w} = K C
+(p+1-\lambda) w^{p-\lambda} \]</span> <span class="math display">\[ g N
+- \frac{1}{2}\frac{\partial(D N)}{\partial w} = \left( A - \frac{1}{2} K
+(p+1-\lambda) \right) C w^{p-\lambda} \]</span> Let <span class="math inline">\(J_0 = C \left( A - \frac{1}{2} K (p+1-\lambda)
+\right)\)</span>. Then the flux is <span class="math inline">\(J = J_0
+w^{p-\lambda}\)</span>.</p>
+<p>Differentiating flux with respect to <span class="math inline">\(w\)</span>: <span class="math display">\[
+\frac{\partial J}{\partial w} = J_0 (p-\lambda) w^{p-\lambda-1}
+\]</span></p>
+<p>The RHS is: <span class="math display">\[ -\mu N = - B C
+w^{p-1-\lambda} \]</span></p>
+<p>Equating LHS and RHS: <span class="math display">\[ C \left( A -
+\frac{1}{2} K (p+1-\lambda) \right) (p-\lambda) w^{p-\lambda-1} = - B C
+w^{p-\lambda-1} \]</span></p>
+<p>Dividing by <span class="math inline">\(C w^{p-\lambda-1}\)</span>
+(assuming <span class="math inline">\(C \neq 0\)</span> and <span class="math inline">\(w \neq 0\)</span>): <span class="math display">\[
+\left( A - \frac{1}{2} K (p+1-\lambda) \right) (p-\lambda) + B = 0
+\]</span></p>
+<p>Let <span class="math inline">\(x = p - \lambda\)</span>. Then <span class="math inline">\(p + 1 - \lambda = x + 1\)</span>. The equation
+becomes: <span class="math display">\[ \left( A - \frac{1}{2} K (x+1)
+\right) x + B = 0 \]</span> <span class="math display">\[ Ax -
+\frac{1}{2} K x^2 - \frac{1}{2} K x + B = 0 \]</span> Multiply by -2:
+<span class="math display">\[ K x^2 - (2A - K) x - 2B = 0 \]</span></p>
+<p>This is a quadratic equation for <span class="math inline">\(x = p -
+\lambda\)</span>. The solutions are: <span class="math display">\[ x =
+\frac{(2A - K) \pm \sqrt{(2A - K)^2 + 8KB}}{2K} \]</span></p>
+<p>We are interested in the solution that corresponds to the limit of
+small diffusion <span class="math inline">\(K \to 0\)</span>. In that
+limit, <span class="math inline">\(g N \sim C A w^{p-\lambda}\)</span>
+and <span class="math inline">\(\frac{\partial (gN)}{\partial w} \sim C
+A (p-\lambda) w^{p-\lambda-1}\)</span>. The transport equation without
+diffusion is <span class="math inline">\(\frac{\partial (gN)}{\partial
+w} = -\mu N\)</span>. <span class="math display">\[ A (p-\lambda) = -B
+\implies x = p-\lambda = -B/A \]</span> Since <span class="math inline">\(A, B &gt; 0\)</span>, <span class="math inline">\(x\)</span> should be negative. Let’s check the
+roots. <span class="math inline">\((2A-K)^2 + 8KB &gt;
+(2A-K)^2\)</span>, so the square root is larger than <span class="math inline">\(|2A-K|\)</span>. The term <span class="math inline">\((2A-K)\)</span> is positive for small <span class="math inline">\(K\)</span>. The positive root is <span class="math inline">\(\frac{(2A-K) + \text{larger}}{2K} &gt; 0\)</span>.
+The negative root is <span class="math inline">\(\frac{(2A-K) -
+\text{larger}}{2K} &lt; 0\)</span>. So we need the negative root.</p>
+<p><span class="math display">\[ \lambda = p - \frac{(2A - K) -
+\sqrt{(2A - K)^2 + 8KB}}{2K} \]</span></p>
+</div>
+<div class="section level2">
+<h2 id="numerical-verification">Numerical verification<a class="anchor" aria-label="anchor" href="#numerical-verification"></a>
+</h2>
+<p>We verify this analytical solution by considering a single species in
+mizer and checking if the <code><a href="../reference/project.html">project()</a></code> function keeps the
+system in this steady state.</p>
+<div class="sourceCode" id="cb1"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://sizespectrum.org/mizer/">mizer</a></span><span class="op">)</span></span>
+<span></span>
+<span><span class="co"># Parameters</span></span>
+<span><span class="va">p</span> <span class="op">&lt;-</span> <span class="fl">0.7</span></span>
+<span><span class="va">A</span> <span class="op">&lt;-</span> <span class="fl">1</span></span>
+<span><span class="va">B</span> <span class="op">&lt;-</span> <span class="fl">0.5</span></span>
+<span><span class="va">K</span> <span class="op">&lt;-</span> <span class="fl">0.1</span></span>
+<span></span>
+<span><span class="co"># Calculate lambda</span></span>
+<span><span class="co"># coefficients for K x^2 - (2A - K) x - 2B = 0</span></span>
+<span><span class="va">a_quad</span> <span class="op">&lt;-</span> <span class="va">K</span></span>
+<span><span class="va">b_quad</span> <span class="op">&lt;-</span> <span class="op">-</span><span class="op">(</span><span class="fl">2</span><span class="op">*</span><span class="va">A</span> <span class="op">-</span> <span class="va">K</span><span class="op">)</span></span>
+<span><span class="va">c_quad</span> <span class="op">&lt;-</span> <span class="op">-</span><span class="fl">2</span><span class="op">*</span><span class="va">B</span></span>
+<span></span>
+<span><span class="va">det</span> <span class="op">&lt;-</span> <span class="va">b_quad</span><span class="op">^</span><span class="fl">2</span> <span class="op">-</span> <span class="fl">4</span> <span class="op">*</span> <span class="va">a_quad</span> <span class="op">*</span> <span class="va">c_quad</span></span>
+<span><span class="va">x</span> <span class="op">&lt;-</span> <span class="op">(</span><span class="op">-</span><span class="va">b_quad</span> <span class="op">-</span> <span class="fu"><a href="https://rdrr.io/r/base/MathFun.html" class="external-link">sqrt</a></span><span class="op">(</span><span class="va">det</span><span class="op">)</span><span class="op">)</span> <span class="op">/</span> <span class="op">(</span><span class="fl">2</span> <span class="op">*</span> <span class="va">a_quad</span><span class="op">)</span></span>
+<span><span class="va">lambda</span> <span class="op">&lt;-</span> <span class="va">p</span> <span class="op">-</span> <span class="va">x</span></span>
+<span></span>
+<span><span class="co"># Set up mizer params</span></span>
+<span><span class="co"># We create a dummy species</span></span>
+<span><span class="va">params</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/newMultispeciesParams.html">newMultispeciesParams</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/data.frame.html" class="external-link">data.frame</a></span><span class="op">(</span>species <span class="op">=</span> <span class="st">"Test"</span>, </span>
+<span>                                           w_inf <span class="op">=</span> <span class="fl">1000</span>, </span>
+<span>                                           w_mat <span class="op">=</span> <span class="fl">100</span>, </span>
+<span>                                           beta <span class="op">=</span> <span class="fl">100</span>, </span>
+<span>                                           sigma <span class="op">=</span> <span class="fl">1</span>, </span>
+<span>                                           k_vb <span class="op">=</span> <span class="fl">0.1</span><span class="op">)</span>, </span>
+<span>                                no_w <span class="op">=</span> <span class="fl">1000</span>, min_w <span class="op">=</span> <span class="fl">1e-3</span><span class="op">)</span></span>
+<span><span class="co">#&gt; Warning in validGivenSpeciesParams(species_params): The species parameter data</span></span>
+<span><span class="co">#&gt; frame is missing a `w_max` column. I am copying over the values from the</span></span>
+<span><span class="co">#&gt; `w_inf` column. But note that `w_max` should be the maximum size of the largest</span></span>
+<span><span class="co">#&gt; individual, not the asymptotic size of an average indivdidual.</span></span>
+<span><span class="co">#&gt; Warning in validGivenSpeciesParams(species_params): The species parameter data</span></span>
+<span><span class="co">#&gt; frame is missing a `w_max` column. I am copying over the values from the</span></span>
+<span><span class="co">#&gt; `w_inf` column. But note that `w_max` should be the maximum size of the largest</span></span>
+<span><span class="co">#&gt; individual, not the asymptotic size of an average indivdidual.</span></span>
+<span><span class="co">#&gt; Because you have n != p, the default value for `h` is not very good.</span></span>
+<span><span class="co">#&gt; Because the age at maturity is not known, I need to fall back to using</span></span>
+<span><span class="co">#&gt; von Bertalanffy parameters, where available, and this is not reliable.</span></span>
+<span><span class="co">#&gt; No ks column so calculating from critical feeding level.</span></span>
+<span><span class="co">#&gt; Using z0 = z0pre * w_max ^ z0exp for missing z0 values.</span></span>
+<span><span class="co">#&gt; Using f0, h, lambda, kappa and the predation kernel to calculate gamma.</span></span>
+<span></span>
+<span><span class="co"># Define custom rate functions</span></span>
+<span><span class="co"># Growth</span></span>
+<span><span class="va">start_growth</span> <span class="op">&lt;-</span> <span class="kw">function</span><span class="op">(</span><span class="va">params</span>, <span class="va">...</span><span class="op">)</span> <span class="op">{</span></span>
+<span>    <span class="fu"><a href="https://rdrr.io/r/base/matrix.html" class="external-link">matrix</a></span><span class="op">(</span><span class="va">A</span> <span class="op">*</span> <span class="va">params</span><span class="op">@</span><span class="va">w</span><span class="op">^</span><span class="va">p</span>, nrow <span class="op">=</span> <span class="fl">1</span>, byrow <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
+<span><span class="op">}</span></span>
+<span><span class="co"># Mort</span></span>
+<span><span class="va">start_mort</span> <span class="op">&lt;-</span> <span class="kw">function</span><span class="op">(</span><span class="va">params</span>, <span class="va">...</span><span class="op">)</span> <span class="op">{</span></span>
+<span>    <span class="fu"><a href="https://rdrr.io/r/base/matrix.html" class="external-link">matrix</a></span><span class="op">(</span><span class="va">B</span> <span class="op">*</span> <span class="va">params</span><span class="op">@</span><span class="va">w</span><span class="op">^</span><span class="op">(</span><span class="va">p</span><span class="op">-</span><span class="fl">1</span><span class="op">)</span>, nrow <span class="op">=</span> <span class="fl">1</span>, byrow <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
+<span><span class="op">}</span></span>
+<span><span class="co"># RDD (Constant Flux)</span></span>
+<span><span class="va">constant_rdd</span> <span class="op">&lt;-</span> <span class="kw">function</span><span class="op">(</span><span class="va">rdi</span>, <span class="va">species_params</span>, <span class="va">params</span>, <span class="va">...</span><span class="op">)</span> <span class="op">{</span></span>
+<span>    <span class="va">w_min</span> <span class="op">&lt;-</span> <span class="fl">1e-3</span> <span class="co"># Use the strict lower boundary of the system</span></span>
+<span>    <span class="co"># Flux J = N(w) * (g(w) - 0.5 * d/dw D(w))</span></span>
+<span>    <span class="co"># J = C * w^(p-lambda) * (A - 0.5 * K (p + 1 - lambda))</span></span>
+<span>    <span class="co"># C = 1 (from initial N)</span></span>
+<span>    <span class="va">J_min</span> <span class="op">&lt;-</span> <span class="va">w_min</span><span class="op">^</span><span class="op">(</span><span class="va">p</span> <span class="op">-</span> <span class="va">lambda</span><span class="op">)</span> <span class="op">*</span> <span class="op">(</span><span class="va">A</span> <span class="op">-</span> <span class="fl">0.5</span> <span class="op">*</span> <span class="va">K</span> <span class="op">*</span> <span class="op">(</span><span class="va">p</span> <span class="op">+</span> <span class="fl">1</span> <span class="op">-</span> <span class="va">lambda</span><span class="op">)</span><span class="op">)</span></span>
+<span>    <span class="fu"><a href="https://rdrr.io/r/base/structure.html" class="external-link">structure</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/rep.html" class="external-link">rep</a></span><span class="op">(</span><span class="va">J_min</span>, <span class="fu"><a href="https://rdrr.io/r/base/length.html" class="external-link">length</a></span><span class="op">(</span><span class="va">rdi</span><span class="op">)</span><span class="op">)</span>, names <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/names.html" class="external-link">names</a></span><span class="op">(</span><span class="va">rdi</span><span class="op">)</span><span class="op">)</span></span>
+<span><span class="op">}</span></span>
+<span></span>
+<span><span class="co"># Assign to params</span></span>
+<span><span class="va">params</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/setRateFunction.html">setRateFunction</a></span><span class="op">(</span><span class="va">params</span>, <span class="st">"EGrowth"</span>, <span class="st">"start_growth"</span><span class="op">)</span></span>
+<span><span class="va">params</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/setRateFunction.html">setRateFunction</a></span><span class="op">(</span><span class="va">params</span>, <span class="st">"Mort"</span>, <span class="st">"start_mort"</span><span class="op">)</span></span>
+<span><span class="va">params</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/setRateFunction.html">setRateFunction</a></span><span class="op">(</span><span class="va">params</span>, <span class="st">"RDD"</span>, <span class="st">"constant_rdd"</span><span class="op">)</span></span>
+<span></span>
+<span><span class="co"># Set diffusion</span></span>
+<span><span class="fu"><a href="../reference/setExtDiffusion.html">ext_diffusion</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span><span class="op">[</span><span class="fl">1</span>, <span class="op">]</span> <span class="op">&lt;-</span> <span class="va">K</span> <span class="op">*</span> <span class="fu"><a href="../reference/w.html">w</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span><span class="op">^</span><span class="op">(</span><span class="va">p</span> <span class="op">+</span> <span class="fl">1</span><span class="op">)</span></span>
+<span></span>
+<span><span class="co"># We also need to switch off resource dynamics and other things to avoid interference</span></span>
+<span><span class="va">params</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/setResource.html">setResource</a></span><span class="op">(</span><span class="va">params</span>, resource_dynamics <span class="op">=</span> <span class="st">"resource_constant"</span><span class="op">)</span></span>
+<span><span class="fu"><a href="../reference/initialNResource-set.html">initialNResource</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span> <span class="op">&lt;-</span> <span class="fl">0</span></span>
+<span></span>
+<span><span class="co"># Set initial N to analytical solution</span></span>
+<span><span class="fu"><a href="../reference/initialN-set.html">initialN</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/matrix.html" class="external-link">matrix</a></span><span class="op">(</span><span class="fu"><a href="../reference/w.html">w</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span><span class="op">^</span><span class="op">(</span><span class="op">-</span><span class="va">lambda</span><span class="op">)</span>, nrow <span class="op">=</span> <span class="fl">1</span>, byrow <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
+<span></span>
+<span><span class="co"># Run project</span></span>
+<span><span class="co"># We verify that N stays constant.</span></span>
+<span><span class="va">sim</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/project.html">project</a></span><span class="op">(</span><span class="va">params</span>, t_max <span class="op">=</span> <span class="fl">1</span>, dt <span class="op">=</span> <span class="fl">0.001</span><span class="op">)</span></span>
+<span></span>
+<span><span class="co"># Compare final N with initial N</span></span>
+<span><span class="va">n0</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/initialN-set.html">initialN</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span><span class="op">[</span><span class="fl">1</span>, <span class="op">]</span></span>
+<span><span class="va">n1</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/finalN.html">finalN</a></span><span class="op">(</span><span class="va">sim</span><span class="op">)</span><span class="op">[</span><span class="fl">1</span>, <span class="op">]</span></span>
+<span></span>
+<span><span class="co"># Plot</span></span>
+<span><span class="fu"><a href="../reference/plot.html">plot</a></span><span class="op">(</span><span class="fu"><a href="../reference/w.html">w</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span>, <span class="va">n0</span>, log<span class="op">=</span><span class="st">"xy"</span>, type<span class="op">=</span><span class="st">"l"</span>, col<span class="op">=</span><span class="st">"blue"</span>, lwd<span class="op">=</span><span class="fl">2</span>, </span>
+<span>     main<span class="op">=</span><span class="st">"Comparison of numerical and analytical solution"</span>,</span>
+<span>     xlab<span class="op">=</span><span class="st">"Size"</span>, ylab<span class="op">=</span><span class="st">"Density"</span><span class="op">)</span></span>
+<span><span class="fu"><a href="https://rdrr.io/r/graphics/lines.html" class="external-link">lines</a></span><span class="op">(</span><span class="fu"><a href="../reference/w.html">w</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span>, <span class="va">n1</span>, col<span class="op">=</span><span class="st">"red"</span>, lty<span class="op">=</span><span class="fl">2</span>, lwd<span class="op">=</span><span class="fl">2</span><span class="op">)</span></span>
+<span><span class="fu"><a href="https://rdrr.io/r/graphics/legend.html" class="external-link">legend</a></span><span class="op">(</span><span class="st">"topright"</span>, legend<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"Analytical"</span>, <span class="st">"Numerical"</span><span class="op">)</span>, </span>
+<span>       col<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"blue"</span>, <span class="st">"red"</span><span class="op">)</span>, lty<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">1</span>, <span class="fl">2</span><span class="op">)</span><span class="op">)</span></span></code></pre></div>
+<p><img src="analytic_test_files/figure-html/unnamed-chunk-2-1.png" class="r-plt" alt="" width="700"></p>
+<div class="sourceCode" id="cb2"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span></span>
+<span><span class="co"># Calculate relative error</span></span>
+<span><span class="co"># Ignore the boundaries where boundary conditions apply</span></span>
+<span><span class="va">idx</span> <span class="op">&lt;-</span> <span class="fl">10</span><span class="op">:</span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/length.html" class="external-link">length</a></span><span class="op">(</span><span class="fu"><a href="../reference/w.html">w</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span><span class="op">)</span><span class="op">-</span><span class="fl">10</span><span class="op">)</span></span>
+<span><span class="va">rel_err</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/MathFun.html" class="external-link">abs</a></span><span class="op">(</span><span class="va">n1</span><span class="op">[</span><span class="va">idx</span><span class="op">]</span> <span class="op">-</span> <span class="va">n0</span><span class="op">[</span><span class="va">idx</span><span class="op">]</span><span class="op">)</span> <span class="op">/</span> <span class="va">n0</span><span class="op">[</span><span class="va">idx</span><span class="op">]</span></span>
+<span><span class="va">max_rel_err</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/Extremes.html" class="external-link">max</a></span><span class="op">(</span><span class="va">rel_err</span><span class="op">)</span></span>
+<span><span class="fu"><a href="https://rdrr.io/r/base/print.html" class="external-link">print</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/paste.html" class="external-link">paste</a></span><span class="op">(</span><span class="st">"Maximum relative error (excluding boundaries):"</span>, <span class="va">max_rel_err</span><span class="op">)</span><span class="op">)</span></span>
+<span><span class="co">#&gt; [1] "Maximum relative error (excluding boundaries): 0.0384619887553153"</span></span>
+<span></span>
+<span><span class="kw">if</span> <span class="op">(</span><span class="va">max_rel_err</span> <span class="op">&lt;</span> <span class="fl">0.05</span><span class="op">)</span> <span class="op">{</span></span>
+<span>  <span class="fu"><a href="https://rdrr.io/r/base/print.html" class="external-link">print</a></span><span class="op">(</span><span class="st">"Test passed: Numerical solution stays close to analytical steady state."</span><span class="op">)</span></span>
+<span><span class="op">}</span> <span class="kw">else</span> <span class="op">{</span></span>
+<span>  <span class="fu"><a href="https://rdrr.io/r/base/print.html" class="external-link">print</a></span><span class="op">(</span><span class="st">"Test failed: Numerical solution deviates from analytical steady state."</span><span class="op">)</span></span>
+<span><span class="op">}</span></span>
+<span><span class="co">#&gt; [1] "Test passed: Numerical solution stays close to analytical steady state."</span></span></code></pre></div>
+</div>
+<div class="section level2">
+<h2 id="time-dependent-analytical-solution">Time-dependent analytical solution<a class="anchor" aria-label="anchor" href="#time-dependent-analytical-solution"></a>
+</h2>
+<p>To facilitate an analytical solution for time-dependent problems, we
+first transform the size variable <span class="math inline">\(w\)</span>
+to a new variable <span class="math inline">\(x\)</span>: <span class="math display">\[ x = \frac{w^{1-p}}{1-p} \]</span> Assuming <span class="math inline">\(p \neq 1\)</span>. Then <span class="math inline">\(w = ((1-p)x)^{\frac{1}{1-p}}\)</span> and <span class="math inline">\(\frac{dx}{dw} = w^{-p}\)</span>.</p>
+<p>We define the density in <span class="math inline">\(x\)</span>-space, <span class="math inline">\(\tilde{N}(x, t)\)</span>, such that <span class="math inline">\(\tilde{N}(x, t) dx = N(w, t) dw\)</span>. Thus:
+<span class="math display">\[ \tilde{N}(x, t) = N(w, t) \frac{dw}{dx} =
+N(w, t) w^p \]</span></p>
+<p>Substituting this into the transport equation and simplifying leads
+to a PDE of the form: <span class="math display">\[ \frac{\partial
+\tilde{N}}{\partial t} = V x \frac{\partial^2 \tilde{N}}{\partial x^2} +
+(V - U) \frac{\partial \tilde{N}}{\partial x} - \frac{b}{x} \tilde{N}
+\]</span> where: * <span class="math inline">\(U = A -
+\frac{1}{2}K\)</span> * <span class="math inline">\(V = \frac{1}{2} K
+(1-p)\)</span> * <span class="math inline">\(b =
+\frac{B}{1-p}\)</span></p>
+<p>The fundamental solution (Green’s function) for this equation,
+describing the evolution of an initial Dirac delta distribution <span class="math inline">\(\tilde{N}(x, 0) = \delta(x - x_0)\)</span>, is
+given by: <span class="math display">\[ G(x, t; x_0) = \frac{1}{Vt}
+\left( \frac{x}{x_0} \right)^{\frac{U}{2V}} \exp\left( -\frac{x+x_0}{Vt}
+\right) I_\nu \left( \frac{2\sqrt{xx_0}}{Vt} \right) \]</span> where
+<span class="math inline">\(I_\nu\)</span> is the modified Bessel
+function of the first kind of order <span class="math inline">\(\nu\)</span>, given by: <span class="math display">\[ \nu = \frac{1}{V} \sqrt{U^2 + 4Vb} \]</span></p>
+<p>The solution in terms of the original size distribution <span class="math inline">\(N(w, t)\)</span> is then: <span class="math display">\[ N(w, t) = G(x(w), t; x(w_0)) w^{-p}
+\]</span></p>
+<div class="section level3">
+<h3 id="numerical-verification-1">Numerical verification<a class="anchor" aria-label="anchor" href="#numerical-verification-1"></a>
+</h3>
+<p>We verify this time-dependent solution by starting the simulation
+with the analytical distribution at a small time <span class="math inline">\(t_{start} &gt; 0\)</span> (to avoid the
+singularity at <span class="math inline">\(t=0\)</span>) and projecting
+it to a later time <span class="math inline">\(t_{end}\)</span>.</p>
+<div class="sourceCode" id="cb3"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="co"># Function to calculate N analytic</span></span>
+<span><span class="va">N_analytic</span> <span class="op">&lt;-</span> <span class="kw">function</span><span class="op">(</span><span class="va">w</span>, <span class="va">t</span>, <span class="va">w0</span>, <span class="va">t0</span>, <span class="va">params</span><span class="op">)</span> <span class="op">{</span></span>
+<span>  <span class="co"># Parameters</span></span>
+<span>  <span class="va">p</span> <span class="op">&lt;-</span> <span class="fl">0.7</span></span>
+<span>  <span class="va">A</span> <span class="op">&lt;-</span> <span class="fl">1</span></span>
+<span>  <span class="va">B</span> <span class="op">&lt;-</span> <span class="fl">0.5</span></span>
+<span>  <span class="va">K</span> <span class="op">&lt;-</span> <span class="fl">0.1</span></span>
+<span>  </span>
+<span>  <span class="co"># Transformed parameters</span></span>
+<span>  <span class="va">U</span> <span class="op">&lt;-</span> <span class="va">A</span> <span class="op">-</span> <span class="fl">0.5</span> <span class="op">*</span> <span class="va">K</span> </span>
+<span>  <span class="va">V</span> <span class="op">&lt;-</span> <span class="fl">0.5</span> <span class="op">*</span> <span class="va">K</span> <span class="op">*</span> <span class="op">(</span><span class="fl">1</span> <span class="op">-</span> <span class="va">p</span><span class="op">)</span></span>
+<span>  <span class="va">b</span> <span class="op">&lt;-</span> <span class="va">B</span> <span class="op">/</span> <span class="op">(</span><span class="fl">1</span> <span class="op">-</span> <span class="va">p</span><span class="op">)</span></span>
+<span>  <span class="va">nu</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/MathFun.html" class="external-link">sqrt</a></span><span class="op">(</span><span class="op">(</span><span class="va">U</span><span class="op">/</span><span class="va">V</span><span class="op">)</span><span class="op">^</span><span class="fl">2</span> <span class="op">+</span> <span class="fl">4</span> <span class="op">*</span> <span class="va">b</span> <span class="op">/</span> <span class="va">V</span><span class="op">)</span></span>
+<span></span>
+<span>  <span class="co"># Time elapsed</span></span>
+<span>  <span class="va">dt</span> <span class="op">&lt;-</span> <span class="va">t</span> <span class="op">-</span> <span class="va">t0</span></span>
+<span>  <span class="kw">if</span> <span class="op">(</span><span class="va">dt</span> <span class="op">&lt;=</span> <span class="fl">0</span><span class="op">)</span> <span class="kw"><a href="https://rdrr.io/r/base/stop.html" class="external-link">stop</a></span><span class="op">(</span><span class="st">"t must be greater than t0"</span><span class="op">)</span></span>
+<span>  </span>
+<span>  <span class="co"># Transform to x</span></span>
+<span>  <span class="va">x</span> <span class="op">&lt;-</span> <span class="va">w</span><span class="op">^</span><span class="op">(</span><span class="fl">1</span> <span class="op">-</span> <span class="va">p</span><span class="op">)</span> <span class="op">/</span> <span class="op">(</span><span class="fl">1</span> <span class="op">-</span> <span class="va">p</span><span class="op">)</span></span>
+<span>  <span class="va">x0</span> <span class="op">&lt;-</span> <span class="va">w0</span><span class="op">^</span><span class="op">(</span><span class="fl">1</span> <span class="op">-</span> <span class="va">p</span><span class="op">)</span> <span class="op">/</span> <span class="op">(</span><span class="fl">1</span> <span class="op">-</span> <span class="va">p</span><span class="op">)</span></span>
+<span>  </span>
+<span>  <span class="co"># Argument for Bessel</span></span>
+<span>  <span class="va">z</span> <span class="op">&lt;-</span> <span class="fl">2</span> <span class="op">*</span> <span class="fu"><a href="https://rdrr.io/r/base/MathFun.html" class="external-link">sqrt</a></span><span class="op">(</span><span class="va">x</span> <span class="op">*</span> <span class="va">x0</span><span class="op">)</span> <span class="op">/</span> <span class="op">(</span><span class="va">V</span> <span class="op">*</span> <span class="va">dt</span><span class="op">)</span></span>
+<span>  </span>
+<span>  <span class="co"># Logarithm of N_tilde using scaled Bessel to avoid overflow</span></span>
+<span>  <span class="va">bessel_scaled</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/Bessel.html" class="external-link">besselI</a></span><span class="op">(</span><span class="va">z</span>, <span class="va">nu</span>, expon.scaled <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
+<span>  </span>
+<span>  <span class="va">log_N_tilde</span> <span class="op">&lt;-</span> <span class="op">-</span><span class="fu"><a href="https://rdrr.io/r/base/Log.html" class="external-link">log</a></span><span class="op">(</span><span class="va">V</span> <span class="op">*</span> <span class="va">dt</span><span class="op">)</span> <span class="op">+</span> </span>
+<span>                 <span class="op">(</span><span class="va">U</span> <span class="op">/</span> <span class="op">(</span><span class="fl">2</span> <span class="op">*</span> <span class="va">V</span><span class="op">)</span><span class="op">)</span> <span class="op">*</span> <span class="fu"><a href="https://rdrr.io/r/base/Log.html" class="external-link">log</a></span><span class="op">(</span><span class="va">x</span> <span class="op">/</span> <span class="va">x0</span><span class="op">)</span> <span class="op">-</span> </span>
+<span>                 <span class="op">(</span><span class="va">x</span> <span class="op">+</span> <span class="va">x0</span><span class="op">)</span> <span class="op">/</span> <span class="op">(</span><span class="va">V</span> <span class="op">*</span> <span class="va">dt</span><span class="op">)</span> <span class="op">+</span> </span>
+<span>                 <span class="va">z</span> <span class="op">+</span> </span>
+<span>                 <span class="fu"><a href="https://rdrr.io/r/base/Log.html" class="external-link">log</a></span><span class="op">(</span><span class="va">bessel_scaled</span><span class="op">)</span></span>
+<span>  </span>
+<span>  <span class="va">N_tilde</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/Log.html" class="external-link">exp</a></span><span class="op">(</span><span class="va">log_N_tilde</span><span class="op">)</span></span>
+<span>  </span>
+<span>  <span class="co"># Transform back to N(w)</span></span>
+<span>  <span class="va">N</span> <span class="op">&lt;-</span> <span class="va">N_tilde</span> <span class="op">*</span> <span class="va">w</span><span class="op">^</span><span class="op">(</span><span class="op">-</span><span class="va">p</span><span class="op">)</span></span>
+<span>  </span>
+<span>  <span class="kw"><a href="https://rdrr.io/r/base/function.html" class="external-link">return</a></span><span class="op">(</span><span class="va">N</span><span class="op">)</span></span>
+<span><span class="op">}</span></span>
+<span></span>
+<span><span class="co"># Initial Condition</span></span>
+<span><span class="va">w0</span> <span class="op">&lt;-</span> <span class="fl">10</span></span>
+<span><span class="va">t_start</span> <span class="op">&lt;-</span> <span class="fl">1</span></span>
+<span><span class="va">t_end</span> <span class="op">&lt;-</span> <span class="fl">2</span></span>
+<span></span>
+<span><span class="co"># Set RDD to exact analytical flux</span></span>
+<span><span class="va">time_dep_rdd</span> <span class="op">&lt;-</span> <span class="kw">function</span><span class="op">(</span><span class="va">rdi</span>, <span class="va">species_params</span>, <span class="va">params</span>, <span class="va">t</span>, <span class="va">...</span><span class="op">)</span> <span class="op">{</span></span>
+<span>    <span class="co"># Parameters (must match those used in N_analytic)</span></span>
+<span>    <span class="va">p</span> <span class="op">&lt;-</span> <span class="fl">0.7</span></span>
+<span>    <span class="va">A</span> <span class="op">&lt;-</span> <span class="fl">1</span></span>
+<span>    <span class="va">B</span> <span class="op">&lt;-</span> <span class="fl">0.5</span></span>
+<span>    <span class="va">K</span> <span class="op">&lt;-</span> <span class="fl">0.1</span></span>
+<span>    <span class="va">w0</span> <span class="op">&lt;-</span> <span class="fl">10</span></span>
+<span>    <span class="va">t0</span> <span class="op">&lt;-</span> <span class="fl">0</span></span>
+<span>    </span>
+<span>    <span class="co"># Transformed parameters</span></span>
+<span>    <span class="va">U</span> <span class="op">&lt;-</span> <span class="va">A</span> <span class="op">-</span> <span class="fl">0.5</span> <span class="op">*</span> <span class="va">K</span> </span>
+<span>    <span class="va">V</span> <span class="op">&lt;-</span> <span class="fl">0.5</span> <span class="op">*</span> <span class="va">K</span> <span class="op">*</span> <span class="op">(</span><span class="fl">1</span> <span class="op">-</span> <span class="va">p</span><span class="op">)</span></span>
+<span>    <span class="va">b</span> <span class="op">&lt;-</span> <span class="va">B</span> <span class="op">/</span> <span class="op">(</span><span class="fl">1</span> <span class="op">-</span> <span class="va">p</span><span class="op">)</span></span>
+<span>    <span class="va">nu</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/MathFun.html" class="external-link">sqrt</a></span><span class="op">(</span><span class="op">(</span><span class="va">U</span><span class="op">/</span><span class="va">V</span><span class="op">)</span><span class="op">^</span><span class="fl">2</span> <span class="op">+</span> <span class="fl">4</span> <span class="op">*</span> <span class="va">b</span> <span class="op">/</span> <span class="va">V</span><span class="op">)</span></span>
+<span>    </span>
+<span>    <span class="co"># Time elapsed</span></span>
+<span>    <span class="va">dt</span> <span class="op">&lt;-</span> <span class="va">t</span> <span class="op">-</span> <span class="va">t0</span></span>
+<span>    <span class="kw">if</span> <span class="op">(</span><span class="va">dt</span> <span class="op">&lt;=</span> <span class="fl">0</span><span class="op">)</span> <span class="kw"><a href="https://rdrr.io/r/base/function.html" class="external-link">return</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/structure.html" class="external-link">structure</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/rep.html" class="external-link">rep</a></span><span class="op">(</span><span class="fl">0</span>, <span class="fu"><a href="https://rdrr.io/r/base/length.html" class="external-link">length</a></span><span class="op">(</span><span class="va">rdi</span><span class="op">)</span><span class="op">)</span>, names <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/names.html" class="external-link">names</a></span><span class="op">(</span><span class="va">rdi</span><span class="op">)</span><span class="op">)</span><span class="op">)</span></span>
+<span>    </span>
+<span>    <span class="co"># Boundary w_min</span></span>
+<span>    <span class="va">w_min</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/Extremes.html" class="external-link">min</a></span><span class="op">(</span><span class="va">params</span><span class="op">@</span><span class="va">w</span><span class="op">)</span></span>
+<span>    <span class="va">x</span> <span class="op">&lt;-</span> <span class="va">w_min</span><span class="op">^</span><span class="op">(</span><span class="fl">1</span> <span class="op">-</span> <span class="va">p</span><span class="op">)</span> <span class="op">/</span> <span class="op">(</span><span class="fl">1</span> <span class="op">-</span> <span class="va">p</span><span class="op">)</span></span>
+<span>    <span class="va">x0</span> <span class="op">&lt;-</span> <span class="va">w0</span><span class="op">^</span><span class="op">(</span><span class="fl">1</span> <span class="op">-</span> <span class="va">p</span><span class="op">)</span> <span class="op">/</span> <span class="op">(</span><span class="fl">1</span> <span class="op">-</span> <span class="va">p</span><span class="op">)</span></span>
+<span>    </span>
+<span>    <span class="co"># Argument for Bessel</span></span>
+<span>    <span class="va">z</span> <span class="op">&lt;-</span> <span class="fl">2</span> <span class="op">*</span> <span class="fu"><a href="https://rdrr.io/r/base/MathFun.html" class="external-link">sqrt</a></span><span class="op">(</span><span class="va">x</span> <span class="op">*</span> <span class="va">x0</span><span class="op">)</span> <span class="op">/</span> <span class="op">(</span><span class="va">V</span> <span class="op">*</span> <span class="va">dt</span><span class="op">)</span></span>
+<span>    </span>
+<span>    <span class="co"># Calculate scaled Bessel ratio I_{nu+1}/I_nu</span></span>
+<span>    <span class="co"># besselI returns I_nu * exp(-z) with expon.scaled=TRUE</span></span>
+<span>    <span class="va">I_nu</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/Bessel.html" class="external-link">besselI</a></span><span class="op">(</span><span class="va">z</span>, <span class="va">nu</span>, expon.scaled <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
+<span>    <span class="va">I_nu_plus_1</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/Bessel.html" class="external-link">besselI</a></span><span class="op">(</span><span class="va">z</span>, <span class="va">nu</span> <span class="op">+</span> <span class="fl">1</span>, expon.scaled <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
+<span>    </span>
+<span>    <span class="kw">if</span> <span class="op">(</span><span class="va">I_nu</span> <span class="op">==</span> <span class="fl">0</span><span class="op">)</span> <span class="op">{</span></span>
+<span>        <span class="va">J</span> <span class="op">&lt;-</span> <span class="fl">0</span></span>
+<span>    <span class="op">}</span> <span class="kw">else</span> <span class="op">{</span></span>
+<span>        <span class="va">ratio</span> <span class="op">&lt;-</span> <span class="va">I_nu_plus_1</span> <span class="op">/</span> <span class="va">I_nu</span></span>
+<span>        </span>
+<span>        <span class="co"># Calculate G (N_tilde) at boundary</span></span>
+<span>        <span class="co"># log(G) = ...</span></span>
+<span>        <span class="va">log_G</span> <span class="op">&lt;-</span> <span class="op">-</span><span class="fu"><a href="https://rdrr.io/r/base/Log.html" class="external-link">log</a></span><span class="op">(</span><span class="va">V</span> <span class="op">*</span> <span class="va">dt</span><span class="op">)</span> <span class="op">+</span> </span>
+<span>                 <span class="op">(</span><span class="va">U</span> <span class="op">/</span> <span class="op">(</span><span class="fl">2</span> <span class="op">*</span> <span class="va">V</span><span class="op">)</span><span class="op">)</span> <span class="op">*</span> <span class="fu"><a href="https://rdrr.io/r/base/Log.html" class="external-link">log</a></span><span class="op">(</span><span class="va">x</span> <span class="op">/</span> <span class="va">x0</span><span class="op">)</span> <span class="op">-</span> </span>
+<span>                 <span class="op">(</span><span class="va">x</span> <span class="op">+</span> <span class="va">x0</span><span class="op">)</span> <span class="op">/</span> <span class="op">(</span><span class="va">V</span> <span class="op">*</span> <span class="va">dt</span><span class="op">)</span> <span class="op">+</span> </span>
+<span>                 <span class="va">z</span> <span class="op">+</span> </span>
+<span>                 <span class="fu"><a href="https://rdrr.io/r/base/Log.html" class="external-link">log</a></span><span class="op">(</span><span class="va">I_nu</span><span class="op">)</span> <span class="co"># I_nu is already scaled, so we add z back... wait.</span></span>
+<span>                 <span class="co"># The formula in N_analytic: log_N_tilde = ... + z + log(bessel_scaled)</span></span>
+<span>                 <span class="co"># This reconstructs the unscaled log value. Correct.</span></span>
+<span>        </span>
+<span>        <span class="va">G</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/Log.html" class="external-link">exp</a></span><span class="op">(</span><span class="va">log_G</span><span class="op">)</span></span>
+<span>        </span>
+<span>        <span class="co"># Flux J = G * [ U/2 + x/dt - (V*z/2) * ratio - (V*nu/2) ]</span></span>
+<span>        <span class="va">term</span> <span class="op">&lt;-</span> <span class="va">U</span><span class="op">/</span><span class="fl">2</span> <span class="op">+</span> <span class="va">x</span><span class="op">/</span><span class="va">dt</span> <span class="op">-</span> <span class="op">(</span><span class="va">V</span> <span class="op">*</span> <span class="va">z</span> <span class="op">/</span> <span class="fl">2</span><span class="op">)</span> <span class="op">*</span> <span class="va">ratio</span> <span class="op">-</span> <span class="op">(</span><span class="va">V</span> <span class="op">*</span> <span class="va">nu</span> <span class="op">/</span> <span class="fl">2</span><span class="op">)</span></span>
+<span>        <span class="va">J</span> <span class="op">&lt;-</span> <span class="va">G</span> <span class="op">*</span> <span class="va">term</span></span>
+<span>    <span class="op">}</span></span>
+<span>    </span>
+<span>    <span class="fu"><a href="https://rdrr.io/r/base/structure.html" class="external-link">structure</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/rep.html" class="external-link">rep</a></span><span class="op">(</span><span class="va">J</span>, <span class="fu"><a href="https://rdrr.io/r/base/length.html" class="external-link">length</a></span><span class="op">(</span><span class="va">rdi</span><span class="op">)</span><span class="op">)</span>, names <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/names.html" class="external-link">names</a></span><span class="op">(</span><span class="va">rdi</span><span class="op">)</span><span class="op">)</span></span>
+<span><span class="op">}</span></span>
+<span></span>
+<span><span class="va">params</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/setRateFunction.html">setRateFunction</a></span><span class="op">(</span><span class="va">params</span>, <span class="st">"RDD"</span>, <span class="st">"time_dep_rdd"</span><span class="op">)</span></span>
+<span></span>
+<span><span class="co"># Set initial N from analytical solution</span></span>
+<span><span class="va">initial_n</span> <span class="op">&lt;-</span> <span class="fu">N_analytic</span><span class="op">(</span><span class="fu"><a href="../reference/w.html">w</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span>, <span class="va">t_start</span>, <span class="va">w0</span>, <span class="fl">0</span>, <span class="va">params</span><span class="op">)</span></span>
+<span><span class="fu"><a href="../reference/initialN-set.html">initialN</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/matrix.html" class="external-link">matrix</a></span><span class="op">(</span><span class="va">initial_n</span>, nrow <span class="op">=</span> <span class="fl">1</span>, byrow <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
+<span></span>
+<span><span class="co"># Run project</span></span>
+<span><span class="va">sim</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/project.html">project</a></span><span class="op">(</span><span class="va">params</span>, t_max <span class="op">=</span> <span class="va">t_end</span> <span class="op">-</span> <span class="va">t_start</span>, dt <span class="op">=</span> <span class="fl">0.001</span><span class="op">)</span></span>
+<span></span>
+<span><span class="co"># Compare</span></span>
+<span><span class="va">final_n_num</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/finalN.html">finalN</a></span><span class="op">(</span><span class="va">sim</span><span class="op">)</span><span class="op">[</span><span class="fl">1</span>, <span class="op">]</span></span>
+<span><span class="va">final_n_ana</span> <span class="op">&lt;-</span> <span class="fu">N_analytic</span><span class="op">(</span><span class="fu"><a href="../reference/w.html">w</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span>, <span class="va">t_end</span>, <span class="va">w0</span>, <span class="fl">0</span>, <span class="va">params</span><span class="op">)</span></span>
+<span></span>
+<span><span class="co"># Plot</span></span>
+<span><span class="fu"><a href="../reference/plot.html">plot</a></span><span class="op">(</span><span class="fu"><a href="../reference/w.html">w</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span>, <span class="va">final_n_num</span>, log<span class="op">=</span><span class="st">"xy"</span>, type<span class="op">=</span><span class="st">"l"</span>, col<span class="op">=</span><span class="st">"red"</span>, lwd<span class="op">=</span><span class="fl">2</span>, </span>
+<span>     main<span class="op">=</span><span class="st">"Time Dependent Check"</span>, xlab<span class="op">=</span><span class="st">"Size"</span>, ylab<span class="op">=</span><span class="st">"Density"</span><span class="op">)</span></span>
+<span><span class="fu"><a href="https://rdrr.io/r/graphics/lines.html" class="external-link">lines</a></span><span class="op">(</span><span class="fu"><a href="../reference/w.html">w</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span>, <span class="va">final_n_ana</span>, col<span class="op">=</span><span class="st">"blue"</span>, lty<span class="op">=</span><span class="fl">2</span>, lwd<span class="op">=</span><span class="fl">2</span><span class="op">)</span></span>
+<span><span class="fu"><a href="https://rdrr.io/r/graphics/legend.html" class="external-link">legend</a></span><span class="op">(</span><span class="st">"topright"</span>, legend<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"Numerical"</span>, <span class="st">"Analytical"</span><span class="op">)</span>, col<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"red"</span>, <span class="st">"blue"</span><span class="op">)</span>, lty<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">1</span>, <span class="fl">2</span><span class="op">)</span><span class="op">)</span></span></code></pre></div>
+<p><img src="analytic_test_files/figure-html/unnamed-chunk-3-1.png" class="r-plt" alt="" width="700"></p>
+<div class="sourceCode" id="cb4"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span></span>
+<span><span class="co"># Robust comparison metrics</span></span>
+<span><span class="co"># 1. Total Abundance (Conservation)</span></span>
+<span><span class="va">total_n_num</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/sum.html" class="external-link">sum</a></span><span class="op">(</span><span class="va">final_n_num</span> <span class="op">*</span> <span class="va">params</span><span class="op">@</span><span class="va">dw</span><span class="op">)</span></span>
+<span><span class="va">total_n_ana</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/sum.html" class="external-link">sum</a></span><span class="op">(</span><span class="va">final_n_ana</span> <span class="op">*</span> <span class="va">params</span><span class="op">@</span><span class="va">dw</span><span class="op">)</span></span>
+<span><span class="va">rel_err_total</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/MathFun.html" class="external-link">abs</a></span><span class="op">(</span><span class="va">total_n_num</span> <span class="op">-</span> <span class="va">total_n_ana</span><span class="op">)</span> <span class="op">/</span> <span class="va">total_n_ana</span></span>
+<span></span>
+<span><span class="co"># 2. Peak Location</span></span>
+<span><span class="va">peak_idx_num</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/which.min.html" class="external-link">which.max</a></span><span class="op">(</span><span class="va">final_n_num</span><span class="op">)</span></span>
+<span><span class="va">peak_idx_ana</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/which.min.html" class="external-link">which.max</a></span><span class="op">(</span><span class="va">final_n_ana</span><span class="op">)</span></span>
+<span><span class="va">peak_w_num</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/w.html">w</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span><span class="op">[</span><span class="va">peak_idx_num</span><span class="op">]</span></span>
+<span><span class="va">peak_w_ana</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/w.html">w</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span><span class="op">[</span><span class="va">peak_idx_ana</span><span class="op">]</span></span>
+<span><span class="va">rel_err_peak_loc</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/MathFun.html" class="external-link">abs</a></span><span class="op">(</span><span class="va">peak_w_num</span> <span class="op">-</span> <span class="va">peak_w_ana</span><span class="op">)</span> <span class="op">/</span> <span class="va">peak_w_ana</span></span>
+<span></span>
+<span><span class="co"># 3. Peak Height</span></span>
+<span><span class="va">peak_val_num</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/Extremes.html" class="external-link">max</a></span><span class="op">(</span><span class="va">final_n_num</span><span class="op">)</span></span>
+<span><span class="va">peak_val_ana</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/Extremes.html" class="external-link">max</a></span><span class="op">(</span><span class="va">final_n_ana</span><span class="op">)</span></span>
+<span><span class="va">rel_err_peak_val</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/MathFun.html" class="external-link">abs</a></span><span class="op">(</span><span class="va">peak_val_num</span> <span class="op">-</span> <span class="va">peak_val_ana</span><span class="op">)</span> <span class="op">/</span> <span class="va">peak_val_ana</span></span>
+<span></span>
+<span><span class="fu"><a href="https://rdrr.io/r/base/print.html" class="external-link">print</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/paste.html" class="external-link">paste</a></span><span class="op">(</span><span class="st">"Total Abundance Error:"</span>, <span class="va">rel_err_total</span><span class="op">)</span><span class="op">)</span></span>
+<span><span class="co">#&gt; [1] "Total Abundance Error: 7.06656338230903e-05"</span></span>
+<span><span class="fu"><a href="https://rdrr.io/r/base/print.html" class="external-link">print</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/paste.html" class="external-link">paste</a></span><span class="op">(</span><span class="st">"Peak Location Error:"</span>, <span class="va">rel_err_peak_loc</span><span class="op">)</span><span class="op">)</span></span>
+<span><span class="co">#&gt; [1] "Peak Location Error: 0.013734153868719"</span></span>
+<span><span class="fu"><a href="https://rdrr.io/r/base/print.html" class="external-link">print</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/paste.html" class="external-link">paste</a></span><span class="op">(</span><span class="st">"Peak Height Error:"</span>, <span class="va">rel_err_peak_val</span><span class="op">)</span><span class="op">)</span></span>
+<span><span class="co">#&gt; [1] "Peak Height Error: 0.0301244310252145"</span></span>
+<span></span>
+<span><span class="co"># Pass conditions: &lt; 5% mass error, &lt; 5% location shift, &lt; 40% height difference (diffusive flattening)</span></span>
+<span><span class="kw">if</span> <span class="op">(</span><span class="va">rel_err_total</span> <span class="op">&lt;</span> <span class="fl">0.05</span> <span class="op">&amp;&amp;</span> <span class="va">rel_err_peak_loc</span> <span class="op">&lt;</span> <span class="fl">0.05</span> <span class="op">&amp;&amp;</span> <span class="va">rel_err_peak_val</span> <span class="op">&lt;</span> <span class="fl">0.4</span><span class="op">)</span> <span class="op">{</span></span>
+<span>  <span class="fu"><a href="https://rdrr.io/r/base/print.html" class="external-link">print</a></span><span class="op">(</span><span class="st">"Time-dependent test passed."</span><span class="op">)</span></span>
+<span><span class="op">}</span> <span class="kw">else</span> <span class="op">{</span></span>
+<span>  <span class="fu"><a href="https://rdrr.io/r/base/print.html" class="external-link">print</a></span><span class="op">(</span><span class="st">"Time-dependent test failed."</span><span class="op">)</span></span>
+<span><span class="op">}</span></span>
+<span><span class="co">#&gt; [1] "Time-dependent test passed."</span></span></code></pre></div>
+</div>
+</div>
+<div class="section level2">
+<h2 id="numerical-diffusion-test">Numerical Diffusion Test<a class="anchor" aria-label="anchor" href="#numerical-diffusion-test"></a>
+</h2>
+<p>The upwind scheme introduces a numerical diffusion <span class="math inline">\(D_{num} \approx g(w) \Delta w\)</span>. We verify
+this by running the projection with <em>zero</em> physical diffusion and
+comparing the result to the analytical steady state solution for a
+system <em>with</em> diffusion <span class="math inline">\(D(w) = g(w)
+\Delta w\)</span>.</p>
+<p>In this test, we use the same power law rates: <span class="math inline">\(g(w) = A w^p\)</span>. <span class="math inline">\(\Delta w \approx w \delta\)</span> where <span class="math inline">\(\delta = \ln(10^{\Delta x}) = \ln(\beta)\)</span>.
+So <span class="math inline">\(D_{num} = g(w) \Delta w + g(w)^2 \Delta
+t\)</span>. For power law rates <span class="math inline">\(g(w) = A
+w^p\)</span>, and grid spacing <span class="math inline">\(\Delta w
+\approx w \delta\)</span>, this becomes: <span class="math inline">\(D_{num} \approx A w^p \cdot w \delta + (A w^p)^2
+\Delta t = (A \delta) w^{p+1} + A^2 \Delta t w^{2p}\)</span>. To allow
+an analytic solution with a simple power-law diffusion <span class="math inline">\(D = K w^{p+1}\)</span>, we set <span class="math inline">\(p=1\)</span> for this test. Then <span class="math inline">\(D_{num} \approx (A \delta + A^2 \Delta t)
+w^2\)</span>. This corresponds to <span class="math inline">\(K = A
+\delta + A^2 \Delta t\)</span>.</p>
+<div class="sourceCode" id="cb5"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="co"># Parameters for the test</span></span>
+<span><span class="va">p_test</span> <span class="op">&lt;-</span> <span class="fl">1</span> <span class="co"># Use p=1 to match diffusion scaling</span></span>
+<span><span class="va">A_test</span> <span class="op">&lt;-</span> <span class="fl">1</span></span>
+<span><span class="va">B_test</span> <span class="op">&lt;-</span> <span class="fl">0.5</span></span>
+<span></span>
+<span><span class="co"># Helper: Growth rate</span></span>
+<span><span class="va">start_growth_test</span> <span class="op">&lt;-</span> <span class="kw">function</span><span class="op">(</span><span class="va">params</span>, <span class="va">...</span><span class="op">)</span> <span class="op">{</span></span>
+<span>    <span class="fu"><a href="https://rdrr.io/r/base/matrix.html" class="external-link">matrix</a></span><span class="op">(</span><span class="va">A_test</span> <span class="op">*</span> <span class="va">params</span><span class="op">@</span><span class="va">w</span><span class="op">^</span><span class="va">p_test</span>, nrow <span class="op">=</span> <span class="fl">1</span>, byrow <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
+<span><span class="op">}</span></span>
+<span></span>
+<span><span class="co"># Helper: Mortality rate</span></span>
+<span><span class="va">start_mort_test</span> <span class="op">&lt;-</span> <span class="kw">function</span><span class="op">(</span><span class="va">params</span>, <span class="va">...</span><span class="op">)</span> <span class="op">{</span></span>
+<span>    <span class="fu"><a href="https://rdrr.io/r/base/matrix.html" class="external-link">matrix</a></span><span class="op">(</span><span class="va">B_test</span> <span class="op">*</span> <span class="va">params</span><span class="op">@</span><span class="va">w</span><span class="op">^</span><span class="op">(</span><span class="va">p_test</span><span class="op">-</span><span class="fl">1</span><span class="op">)</span>, nrow <span class="op">=</span> <span class="fl">1</span>, byrow <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
+<span><span class="op">}</span></span>
+<span></span>
+<span><span class="co"># Helper: RDD</span></span>
+<span><span class="co"># We need to calculate K_num inside because it depends on params (resolution)</span></span>
+<span><span class="va">constant_rdd_test</span> <span class="op">&lt;-</span> <span class="kw">function</span><span class="op">(</span><span class="va">rdi</span>, <span class="va">species_params</span>, <span class="va">params</span>, <span class="va">...</span><span class="op">)</span> <span class="op">{</span></span>
+<span>    <span class="co"># Calculate effective K based on grid resolution</span></span>
+<span>    <span class="va">beta_grid</span> <span class="op">&lt;-</span> <span class="va">params</span><span class="op">@</span><span class="va">w</span><span class="op">[</span><span class="fl">2</span><span class="op">]</span> <span class="op">/</span> <span class="va">params</span><span class="op">@</span><span class="va">w</span><span class="op">[</span><span class="fl">1</span><span class="op">]</span></span>
+<span>    </span>
+<span>    <span class="co"># Grid spacing beta approx 1+delta</span></span>
+<span>    <span class="co"># K_spatial = A * (beta - 1)</span></span>
+<span>    <span class="co"># K_time = A^2 * dt</span></span>
+<span>    <span class="co"># We use dt = 0.01 in the project call below</span></span>
+<span>    <span class="va">dt</span> <span class="op">&lt;-</span> <span class="fl">0.01</span></span>
+<span>    </span>
+<span>    <span class="va">K_loc</span> <span class="op">&lt;-</span> <span class="va">A_test</span> <span class="op">*</span> <span class="op">(</span><span class="va">beta_grid</span> <span class="op">-</span> <span class="fl">1</span><span class="op">)</span> <span class="op">+</span> <span class="va">A_test</span><span class="op">^</span><span class="fl">2</span> <span class="op">*</span> <span class="va">dt</span></span>
+<span>    </span>
+<span>    <span class="co"># Calculate lambda for this K</span></span>
+<span>    <span class="co"># Solve quadratic: K x^2 - (2A - K) x - 2B = 0</span></span>
+<span>    <span class="va">a_q</span> <span class="op">&lt;-</span> <span class="va">K_loc</span></span>
+<span>    <span class="va">b_q</span> <span class="op">&lt;-</span> <span class="op">-</span><span class="op">(</span><span class="fl">2</span><span class="op">*</span><span class="va">A_test</span> <span class="op">-</span> <span class="va">K_loc</span><span class="op">)</span></span>
+<span>    <span class="va">c_q</span> <span class="op">&lt;-</span> <span class="op">-</span><span class="fl">2</span><span class="op">*</span><span class="va">B_test</span></span>
+<span>    <span class="va">det</span> <span class="op">&lt;-</span> <span class="va">b_q</span><span class="op">^</span><span class="fl">2</span> <span class="op">-</span> <span class="fl">4</span> <span class="op">*</span> <span class="va">a_q</span> <span class="op">*</span> <span class="va">c_q</span></span>
+<span>    <span class="va">x</span> <span class="op">&lt;-</span> <span class="op">(</span><span class="op">-</span><span class="va">b_q</span> <span class="op">-</span> <span class="fu"><a href="https://rdrr.io/r/base/MathFun.html" class="external-link">sqrt</a></span><span class="op">(</span><span class="va">det</span><span class="op">)</span><span class="op">)</span> <span class="op">/</span> <span class="op">(</span><span class="fl">2</span> <span class="op">*</span> <span class="va">a_q</span><span class="op">)</span></span>
+<span>    <span class="va">lam</span> <span class="op">&lt;-</span> <span class="va">p_test</span> <span class="op">-</span> <span class="va">x</span></span>
+<span>    </span>
+<span>    <span class="va">w_min</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/Extremes.html" class="external-link">min</a></span><span class="op">(</span><span class="va">params</span><span class="op">@</span><span class="va">w</span><span class="op">)</span></span>
+<span>    <span class="va">J_min</span> <span class="op">&lt;-</span> <span class="va">w_min</span><span class="op">^</span><span class="op">(</span><span class="va">p_test</span> <span class="op">-</span> <span class="va">lam</span><span class="op">)</span> <span class="op">*</span> <span class="op">(</span><span class="va">A_test</span> <span class="op">-</span> <span class="fl">0.5</span> <span class="op">*</span> <span class="va">K_loc</span> <span class="op">*</span> <span class="op">(</span><span class="va">p_test</span> <span class="op">+</span> <span class="fl">1</span> <span class="op">-</span> <span class="va">lam</span><span class="op">)</span><span class="op">)</span></span>
+<span>    <span class="fu"><a href="https://rdrr.io/r/base/structure.html" class="external-link">structure</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/rep.html" class="external-link">rep</a></span><span class="op">(</span><span class="va">J_min</span>, <span class="fu"><a href="https://rdrr.io/r/base/length.html" class="external-link">length</a></span><span class="op">(</span><span class="va">rdi</span><span class="op">)</span><span class="op">)</span>, names <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/names.html" class="external-link">names</a></span><span class="op">(</span><span class="va">rdi</span><span class="op">)</span><span class="op">)</span></span>
+<span><span class="op">}</span></span>
+<span></span>
+<span><span class="co"># Function to perform the numerical diffusion test</span></span>
+<span><span class="va">run_numerical_diffusion_test</span> <span class="op">&lt;-</span> <span class="kw">function</span><span class="op">(</span><span class="va">no_w</span><span class="op">)</span> <span class="op">{</span></span>
+<span>    <span class="co"># Create params</span></span>
+<span>    <span class="va">params</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/newMultispeciesParams.html">newMultispeciesParams</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/data.frame.html" class="external-link">data.frame</a></span><span class="op">(</span>species <span class="op">=</span> <span class="st">"Test"</span>, </span>
+<span>                                               w_inf <span class="op">=</span> <span class="fl">1000</span>, </span>
+<span>                                               w_mat <span class="op">=</span> <span class="fl">100</span>, </span>
+<span>                                               beta <span class="op">=</span> <span class="fl">100</span>, </span>
+<span>                                               sigma <span class="op">=</span> <span class="fl">1</span>, </span>
+<span>                                               k_vb <span class="op">=</span> <span class="fl">0.1</span><span class="op">)</span>, </span>
+<span>                                    no_w <span class="op">=</span> <span class="va">no_w</span>, min_w <span class="op">=</span> <span class="fl">1e-3</span>, max_w <span class="op">=</span> <span class="fl">1000</span><span class="op">)</span></span>
+<span>    </span>
+<span>    <span class="co"># Set rates</span></span>
+<span>    <span class="va">params</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/setRateFunction.html">setRateFunction</a></span><span class="op">(</span><span class="va">params</span>, <span class="st">"EGrowth"</span>, <span class="st">"start_growth_test"</span><span class="op">)</span></span>
+<span>    <span class="va">params</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/setRateFunction.html">setRateFunction</a></span><span class="op">(</span><span class="va">params</span>, <span class="st">"Mort"</span>, <span class="st">"start_mort_test"</span><span class="op">)</span></span>
+<span>    <span class="va">params</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/setRateFunction.html">setRateFunction</a></span><span class="op">(</span><span class="va">params</span>, <span class="st">"RDD"</span>, <span class="st">"constant_rdd_test"</span><span class="op">)</span></span>
+<span>    </span>
+<span>    <span class="co"># NO physical diffusion</span></span>
+<span>    <span class="co"># We set the diffusion matrix to zero</span></span>
+<span>    <span class="fu"><a href="../reference/setExtDiffusion.html">ext_diffusion</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span><span class="op">[</span><span class="op">]</span> <span class="op">&lt;-</span> <span class="fl">0</span></span>
+<span>    </span>
+<span>    <span class="va">params</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/setResource.html">setResource</a></span><span class="op">(</span><span class="va">params</span>, resource_dynamics <span class="op">=</span> <span class="st">"resource_constant"</span><span class="op">)</span></span>
+<span>    <span class="fu"><a href="../reference/initialNResource-set.html">initialNResource</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span> <span class="op">&lt;-</span> <span class="fl">0</span></span>
+<span>    </span>
+<span>    <span class="co"># Calculate analytic initial condition to start close to steady state</span></span>
+<span>    <span class="co"># We use the same logic as in constant_rdd_test to get lambda</span></span>
+<span>    <span class="va">beta_grid</span> <span class="op">&lt;-</span> <span class="va">params</span><span class="op">@</span><span class="va">w</span><span class="op">[</span><span class="fl">2</span><span class="op">]</span> <span class="op">/</span> <span class="va">params</span><span class="op">@</span><span class="va">w</span><span class="op">[</span><span class="fl">1</span><span class="op">]</span></span>
+<span>    <span class="va">K_loc</span> <span class="op">&lt;-</span> <span class="va">A_test</span> <span class="op">*</span> <span class="op">(</span><span class="va">beta_grid</span> <span class="op">-</span> <span class="fl">1</span><span class="op">)</span></span>
+<span>    </span>
+<span>    <span class="va">a_q</span> <span class="op">&lt;-</span> <span class="va">K_loc</span></span>
+<span>    <span class="va">b_q</span> <span class="op">&lt;-</span> <span class="op">-</span><span class="op">(</span><span class="fl">2</span><span class="op">*</span><span class="va">A_test</span> <span class="op">-</span> <span class="va">K_loc</span><span class="op">)</span></span>
+<span>    <span class="va">c_q</span> <span class="op">&lt;-</span> <span class="op">-</span><span class="fl">2</span><span class="op">*</span><span class="va">B_test</span></span>
+<span>    <span class="va">det</span> <span class="op">&lt;-</span> <span class="va">b_q</span><span class="op">^</span><span class="fl">2</span> <span class="op">-</span> <span class="fl">4</span> <span class="op">*</span> <span class="va">a_q</span> <span class="op">*</span> <span class="va">c_q</span></span>
+<span>    <span class="va">x</span> <span class="op">&lt;-</span> <span class="op">(</span><span class="op">-</span><span class="va">b_q</span> <span class="op">-</span> <span class="fu"><a href="https://rdrr.io/r/base/MathFun.html" class="external-link">sqrt</a></span><span class="op">(</span><span class="va">det</span><span class="op">)</span><span class="op">)</span> <span class="op">/</span> <span class="op">(</span><span class="fl">2</span> <span class="op">*</span> <span class="va">a_q</span><span class="op">)</span></span>
+<span>    <span class="va">lam</span> <span class="op">&lt;-</span> <span class="va">p_test</span> <span class="op">-</span> <span class="va">x</span></span>
+<span>    </span>
+<span>    <span class="co"># Initialize </span></span>
+<span>    <span class="fu"><a href="../reference/initialN-set.html">initialN</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/matrix.html" class="external-link">matrix</a></span><span class="op">(</span><span class="va">params</span><span class="op">@</span><span class="va">w</span><span class="op">^</span><span class="op">(</span><span class="op">-</span><span class="va">lam</span><span class="op">)</span>, nrow <span class="op">=</span> <span class="fl">1</span>, byrow <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
+<span>    </span>
+<span>    <span class="co"># Project</span></span>
+<span>    <span class="va">sim</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/project.html">project</a></span><span class="op">(</span><span class="va">params</span>, t_max <span class="op">=</span> <span class="fl">5</span>, dt <span class="op">=</span> <span class="fl">0.01</span><span class="op">)</span></span>
+<span>    </span>
+<span>    <span class="va">n0</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/initialN-set.html">initialN</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span><span class="op">[</span><span class="fl">1</span>, <span class="op">]</span></span>
+<span>    <span class="va">n1</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/finalN.html">finalN</a></span><span class="op">(</span><span class="va">sim</span><span class="op">)</span><span class="op">[</span><span class="fl">1</span>, <span class="op">]</span></span>
+<span>    </span>
+<span>    <span class="co"># Compare (ignore boundaries)</span></span>
+<span>    <span class="va">idx</span> <span class="op">&lt;-</span> <span class="fl">10</span><span class="op">:</span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/length.html" class="external-link">length</a></span><span class="op">(</span><span class="va">params</span><span class="op">@</span><span class="va">w</span><span class="op">)</span><span class="op">-</span><span class="fl">10</span><span class="op">)</span></span>
+<span>    </span>
+<span>    <span class="co"># Calculate error</span></span>
+<span>    <span class="va">err</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/MathFun.html" class="external-link">abs</a></span><span class="op">(</span><span class="va">n1</span><span class="op">[</span><span class="va">idx</span><span class="op">]</span> <span class="op">-</span> <span class="va">n0</span><span class="op">[</span><span class="va">idx</span><span class="op">]</span><span class="op">)</span> <span class="op">/</span> <span class="va">n0</span><span class="op">[</span><span class="va">idx</span><span class="op">]</span></span>
+<span>    <span class="fu"><a href="https://rdrr.io/r/base/mean.html" class="external-link">mean</a></span><span class="op">(</span><span class="va">err</span><span class="op">)</span></span>
+<span><span class="op">}</span></span>
+<span></span>
+<span><span class="co"># Run the test</span></span>
+<span><span class="va">err_100</span> <span class="op">&lt;-</span> <span class="fu">run_numerical_diffusion_test</span><span class="op">(</span><span class="fl">100</span><span class="op">)</span></span>
+<span><span class="co">#&gt; Warning in validGivenSpeciesParams(species_params): The species parameter data</span></span>
+<span><span class="co">#&gt; frame is missing a `w_max` column. I am copying over the values from the</span></span>
+<span><span class="co">#&gt; `w_inf` column. But note that `w_max` should be the maximum size of the largest</span></span>
+<span><span class="co">#&gt; individual, not the asymptotic size of an average indivdidual.</span></span>
+<span><span class="co">#&gt; Warning in validGivenSpeciesParams(species_params): The species parameter data</span></span>
+<span><span class="co">#&gt; frame is missing a `w_max` column. I am copying over the values from the</span></span>
+<span><span class="co">#&gt; `w_inf` column. But note that `w_max` should be the maximum size of the largest</span></span>
+<span><span class="co">#&gt; individual, not the asymptotic size of an average indivdidual.</span></span>
+<span><span class="co">#&gt; Because you have n != p, the default value for `h` is not very good.</span></span>
+<span><span class="co">#&gt; Because the age at maturity is not known, I need to fall back to using</span></span>
+<span><span class="co">#&gt; von Bertalanffy parameters, where available, and this is not reliable.</span></span>
+<span><span class="co">#&gt; No ks column so calculating from critical feeding level.</span></span>
+<span><span class="co">#&gt; Using z0 = z0pre * w_max ^ z0exp for missing z0 values.</span></span>
+<span><span class="co">#&gt; Using f0, h, lambda, kappa and the predation kernel to calculate gamma.</span></span>
+<span><span class="va">err_400</span> <span class="op">&lt;-</span> <span class="fu">run_numerical_diffusion_test</span><span class="op">(</span><span class="fl">400</span><span class="op">)</span></span>
+<span><span class="co">#&gt; Warning in validGivenSpeciesParams(species_params): The species parameter data</span></span>
+<span><span class="co">#&gt; frame is missing a `w_max` column. I am copying over the values from the</span></span>
+<span><span class="co">#&gt; `w_inf` column. But note that `w_max` should be the maximum size of the largest</span></span>
+<span><span class="co">#&gt; individual, not the asymptotic size of an average indivdidual.</span></span>
+<span><span class="co">#&gt; Warning in validGivenSpeciesParams(species_params): The species parameter data</span></span>
+<span><span class="co">#&gt; frame is missing a `w_max` column. I am copying over the values from the</span></span>
+<span><span class="co">#&gt; `w_inf` column. But note that `w_max` should be the maximum size of the largest</span></span>
+<span><span class="co">#&gt; individual, not the asymptotic size of an average indivdidual.</span></span>
+<span><span class="co">#&gt; Because you have n != p, the default value for `h` is not very good.</span></span>
+<span><span class="co">#&gt; Because the age at maturity is not known, I need to fall back to using</span></span>
+<span><span class="co">#&gt; von Bertalanffy parameters, where available, and this is not reliable.</span></span>
+<span><span class="co">#&gt; No ks column so calculating from critical feeding level.</span></span>
+<span><span class="co">#&gt; Using z0 = z0pre * w_max ^ z0exp for missing z0 values.</span></span>
+<span><span class="co">#&gt; Using f0, h, lambda, kappa and the predation kernel to calculate gamma.</span></span>
+<span></span>
+<span><span class="fu"><a href="https://rdrr.io/r/base/print.html" class="external-link">print</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/paste.html" class="external-link">paste</a></span><span class="op">(</span><span class="st">"Mean relative error with 100 bins:"</span>, <span class="va">err_100</span><span class="op">)</span><span class="op">)</span></span>
+<span><span class="co">#&gt; [1] "Mean relative error with 100 bins: 0.0335390242331932"</span></span>
+<span><span class="fu"><a href="https://rdrr.io/r/base/print.html" class="external-link">print</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/paste.html" class="external-link">paste</a></span><span class="op">(</span><span class="st">"Mean relative error with 400 bins:"</span>, <span class="va">err_400</span><span class="op">)</span><span class="op">)</span></span>
+<span><span class="co">#&gt; [1] "Mean relative error with 400 bins: 0.00716983337814119"</span></span>
+<span></span>
+<span><span class="co"># Check success</span></span>
+<span><span class="kw">if</span> <span class="op">(</span><span class="va">err_400</span> <span class="op">&lt;</span> <span class="fl">0.05</span><span class="op">)</span> <span class="op">{</span></span>
+<span>  <span class="fu"><a href="https://rdrr.io/r/base/print.html" class="external-link">print</a></span><span class="op">(</span><span class="st">"Numerical diffusion test passed: Numerical solution (D=0) matches Analytic solution (D=D_num)."</span><span class="op">)</span></span>
+<span><span class="op">}</span> <span class="kw">else</span> <span class="op">{</span></span>
+<span>  <span class="fu"><a href="https://rdrr.io/r/base/print.html" class="external-link">print</a></span><span class="op">(</span><span class="st">"Numerical diffusion test failed."</span><span class="op">)</span></span>
+<span><span class="op">}</span></span>
+<span><span class="co">#&gt; [1] "Numerical diffusion test passed: Numerical solution (D=0) matches Analytic solution (D=D_num)."</span></span></code></pre></div>
+</div>
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+<!-- Generated by pkgdown: do not edit by hand --><html lang="en-GB">
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+<li><a class="dropdown-item" href="../articles/model_description.html">The General Mizer Size-spectrum Model</a></li>
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+
+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Cheatsheet: Analysis and Plotting</h1>
+            
+      
+      <small class="dont-index">Source: <a href="https://github.com/sizespectrum/mizer/blob/HEAD/vignettes/cheatsheet.Rmd" class="external-link"><code>vignettes/cheatsheet.Rmd</code></a></small>
+      <div class="d-none name"><code>cheatsheet.Rmd</code></div>
+    </div>
+
+    
+    
+<p>This cheatsheet gives a quick overview of the functions available in
+mizer for analysing the results of simulations and creating plots. For
+full documentation of each function, follow the links.</p>
+<p>Most functions accept either a <code>MizerSim</code> object
+(returning a <strong>time series</strong>) or a <code>MizerParams</code>
+object (returning a <strong>single value</strong> from the initial
+state).</p>
+<hr>
+<div class="section level2">
+<h2 id="accessing-simulation-arrays">Accessing simulation arrays<a class="anchor" aria-label="anchor" href="#accessing-simulation-arrays"></a>
+</h2>
+<p>These functions extract raw arrays from a <code>MizerSim</code>
+object.</p>
+<table class="table">
+<colgroup>
+<col width="33%">
+<col width="33%">
+<col width="33%">
+</colgroup>
+<thead><tr class="header">
+<th>Function</th>
+<th>Returns</th>
+<th>Dimensions</th>
+</tr></thead>
+<tbody>
+<tr class="odd">
+<td><a href="../reference/N.html"><code>N(sim)</code></a></td>
+<td>species abundance density</td>
+<td>time × species × size</td>
+</tr>
+<tr class="even">
+<td><a href="../reference/NResource.html"><code>NResource(sim)</code></a></td>
+<td>resource abundance density</td>
+<td>time × size</td>
+</tr>
+<tr class="odd">
+<td><a href="../reference/finalN.html"><code>finalN(sim)</code></a></td>
+<td>species abundance at last time</td>
+<td>species × size</td>
+</tr>
+<tr class="even">
+<td><a href="../reference/finalNResource.html"><code>finalNResource(sim)</code></a></td>
+<td>resource abundance at last time</td>
+<td>size</td>
+</tr>
+<tr class="odd">
+<td><a href="../reference/getEffort.html"><code>getEffort(sim)</code></a></td>
+<td>fishing effort</td>
+<td>time × gear</td>
+</tr>
+<tr class="even">
+<td><a href="../reference/getTimes.html"><code>getTimes(sim)</code></a></td>
+<td>saved time steps</td>
+<td>vector</td>
+</tr>
+</tbody>
+</table>
+<p><strong>Example:</strong> Pull out Cod abundance:</p>
+<div class="sourceCode" id="cb1"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="fu"><a href="../reference/N.html">N</a></span><span class="op">(</span><span class="va">sim</span><span class="op">)</span><span class="op">[</span>, <span class="st">"Cod"</span>, <span class="op">]</span>          <span class="co"># time × size for Cod</span></span>
+<span><span class="fu"><a href="../reference/N.html">N</a></span><span class="op">(</span><span class="va">sim</span><span class="op">)</span><span class="op">[</span><span class="st">"2010"</span>, <span class="st">"Cod"</span>, <span class="op">]</span>    <span class="co"># size vector for Cod in year 2010</span></span>
+<span><span class="fu"><a href="../reference/finalN.html">finalN</a></span><span class="op">(</span><span class="va">sim</span><span class="op">)</span><span class="op">[</span><span class="st">"Cod"</span>, <span class="op">]</span>       <span class="co"># size vector for Cod at the final time step</span></span></code></pre></div>
+<hr>
+</div>
+<div class="section level2">
+<h2 id="summary-functions">Summary functions<a class="anchor" aria-label="anchor" href="#summary-functions"></a>
+</h2>
+<p>These compute derived quantities from abundances. All accept
+<code>MizerSim</code> or <code>MizerParams</code>. See <a href="../reference/summary_functions.html"><code>?summary_functions</code></a>
+for the full list.</p>
+<table class="table">
+<colgroup>
+<col width="33%">
+<col width="33%">
+<col width="33%">
+</colgroup>
+<thead><tr class="header">
+<th>Function</th>
+<th>Returns</th>
+<th>Dimensions</th>
+</tr></thead>
+<tbody>
+<tr class="odd">
+<td><a href="../reference/getBiomass.html"><code>getBiomass(sim, min_w, max_w)</code></a></td>
+<td>total biomass</td>
+<td>time × species</td>
+</tr>
+<tr class="even">
+<td><a href="../reference/getSSB.html"><code>getSSB(sim)</code></a></td>
+<td>spawning stock biomass</td>
+<td>time × species</td>
+</tr>
+<tr class="odd">
+<td><a href="../reference/getN.html"><code>getN(sim, min_w, max_w)</code></a></td>
+<td>total abundance</td>
+<td>time × species</td>
+</tr>
+<tr class="even">
+<td><a href="../reference/getYield.html"><code>getYield(sim)</code></a></td>
+<td>total yield across gears</td>
+<td>time × species</td>
+</tr>
+<tr class="odd">
+<td><a href="../reference/getYieldGear.html"><code>getYieldGear(sim)</code></a></td>
+<td>yield by gear</td>
+<td>time × gear × species</td>
+</tr>
+<tr class="even">
+<td><a href="../reference/getFeedingLevel.html"><code>getFeedingLevel(sim)</code></a></td>
+<td>feeding level at size</td>
+<td>time × species × size</td>
+</tr>
+<tr class="odd">
+<td><a href="../reference/getPredMort.html"><code>getPredMort(sim)</code></a></td>
+<td>predation mortality at size</td>
+<td>time × species × size</td>
+</tr>
+<tr class="even">
+<td><a href="../reference/getFMort.html"><code>getFMort(sim)</code></a></td>
+<td>fishing mortality at size</td>
+<td>time × species × size</td>
+</tr>
+<tr class="odd">
+<td><a href="../reference/getFMortGear.html"><code>getFMortGear(sim)</code></a></td>
+<td>fishing mortality by gear</td>
+<td>time × gear × species × size</td>
+</tr>
+<tr class="even">
+<td><a href="../reference/getDiet.html"><code>getDiet(params)</code></a></td>
+<td>diet resolved by prey at size</td>
+<td>predator × size × prey</td>
+</tr>
+<tr class="odd">
+<td><a href="../reference/getTrophicLevel.html"><code>getTrophicLevel(params)</code></a></td>
+<td>trophic level at size</td>
+<td>species × size</td>
+</tr>
+<tr class="even">
+<td><a href="../reference/getTrophicLevelBySpecies.html"><code>getTrophicLevelBySpecies(params)</code></a></td>
+<td>mean trophic level per species</td>
+<td>species</td>
+</tr>
+</tbody>
+</table>
+<p><strong>Size range:</strong> <code><a href="../reference/getBiomass.html">getBiomass()</a></code> and
+<code><a href="../reference/getN.html">getN()</a></code> accept <code>min_w</code>, <code>max_w</code>,
+<code>min_l</code>, <code>max_l</code> to restrict the calculation to a
+size range.</p>
+<p><strong>Example:</strong></p>
+<div class="sourceCode" id="cb2"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="fu"><a href="../reference/getSSB.html">getSSB</a></span><span class="op">(</span><span class="va">sim</span><span class="op">)</span>                              <span class="co"># SSB of all species over time</span></span>
+<span><span class="fu"><a href="../reference/getBiomass.html">getBiomass</a></span><span class="op">(</span><span class="va">sim</span>, min_w <span class="op">=</span> <span class="fl">10</span>, max_w <span class="op">=</span> <span class="fl">1e4</span><span class="op">)</span> <span class="co"># biomass of 10g–10kg fish</span></span>
+<span><span class="fu"><a href="../reference/getYield.html">getYield</a></span><span class="op">(</span><span class="va">sim</span><span class="op">)</span><span class="op">[</span><span class="st">"2010"</span>, <span class="op">]</span>                  <span class="co"># yield in year 2010</span></span></code></pre></div>
+<p>The result is an <code>ArraySpeciesByTime</code> (time × species) or
+<code>ArraySpeciesBySize</code> (species × size), which can be plotted
+directly with <code><a href="../reference/plot.html">plot()</a></code> — see <a href="#plotting-arrays-directly">Plotting arrays directly</a> below.</p>
+<hr>
+</div>
+<div class="section level2">
+<h2 id="indicator-functions">Indicator functions<a class="anchor" aria-label="anchor" href="#indicator-functions"></a>
+</h2>
+<p>These compute community-level indicators. All accept
+<code>MizerSim</code> (time series) or <code>MizerParams</code> (single
+value from initial state). See <a href="../reference/indicator_functions.html"><code>?indicator_functions</code></a>.</p>
+<table class="table">
+<colgroup>
+<col width="33%">
+<col width="33%">
+<col width="33%">
+</colgroup>
+<thead><tr class="header">
+<th>Function</th>
+<th>Key arguments</th>
+<th>Returns</th>
+</tr></thead>
+<tbody>
+<tr class="odd">
+<td><a href="../reference/getProportionOfLargeFish.html"><code>getProportionOfLargeFish(sim)</code></a></td>
+<td>
+<code>threshold_w = 100</code>, <code>biomass_proportion</code>
+</td>
+<td>proportion of large fish through time</td>
+</tr>
+<tr class="even">
+<td><a href="../reference/getMeanWeight.html"><code>getMeanWeight(sim)</code></a></td>
+<td>
+<code>min_w</code>, <code>max_w</code>, <code>species</code>
+</td>
+<td>mean community weight through time</td>
+</tr>
+<tr class="odd">
+<td><a href="../reference/getMeanMaxWeight.html"><code>getMeanMaxWeight(sim)</code></a></td>
+<td><code>measure = "both"/"numbers"/"biomass"</code></td>
+<td>mean asymptotic weight through time</td>
+</tr>
+<tr class="even">
+<td><a href="../reference/getCommunitySlope.html"><code>getCommunitySlope(sim)</code></a></td>
+<td>
+<code>min_w</code>, <code>max_w</code>, <code>species</code>
+</td>
+<td>slope, intercept, R² through time</td>
+</tr>
+</tbody>
+</table>
+<p><strong>Example:</strong></p>
+<div class="sourceCode" id="cb3"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">lfi</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/getProportionOfLargeFish.html">getProportionOfLargeFish</a></span><span class="op">(</span><span class="va">sim</span>, min_w <span class="op">=</span> <span class="fl">10</span>, max_w <span class="op">=</span> <span class="fl">5000</span>, threshold_w <span class="op">=</span> <span class="fl">500</span><span class="op">)</span></span>
+<span><span class="va">lfi</span><span class="op">[</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"1972"</span>, <span class="st">"2010"</span><span class="op">)</span><span class="op">]</span></span>
+<span></span>
+<span><span class="va">slope</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/getCommunitySlope.html">getCommunitySlope</a></span><span class="op">(</span><span class="va">sim</span>, min_w <span class="op">=</span> <span class="fl">10</span>, max_w <span class="op">=</span> <span class="fl">5000</span><span class="op">)</span></span>
+<span><span class="fu"><a href="https://rdrr.io/r/utils/head.html" class="external-link">head</a></span><span class="op">(</span><span class="va">slope</span><span class="op">)</span></span></code></pre></div>
+<hr>
+</div>
+<div class="section level2">
+<h2 id="plotting-functions">Plotting functions<a class="anchor" aria-label="anchor" href="#plotting-functions"></a>
+</h2>
+<p>All plotting functions return a <code>ggplot2</code> object that can
+be further modified. Each has a <code>plotly</code> counterpart
+(e.g. <code><a href="../reference/plotBiomass.html">plotlyBiomass()</a></code>) for interactive use. See <a href="../reference/plotting_functions.html"><code>?plotting_functions</code></a>.</p>
+<div class="section level3">
+<h3 id="plots-against-time">Plots against time<a class="anchor" aria-label="anchor" href="#plots-against-time"></a>
+</h3>
+<p>These show how a quantity changes over the course of the
+simulation.</p>
+<table class="table">
+<colgroup>
+<col width="33%">
+<col width="33%">
+<col width="33%">
+</colgroup>
+<thead><tr class="header">
+<th>Function</th>
+<th>Key arguments</th>
+<th>Shows</th>
+</tr></thead>
+<tbody>
+<tr class="odd">
+<td><a href="../reference/plotBiomass.html"><code>plotBiomass(sim)</code></a></td>
+<td>
+<code>species</code>, <code>total</code>, <code>start_time</code>,
+<code>end_time</code>, <code>log</code>
+</td>
+<td>total biomass per species</td>
+</tr>
+<tr class="even">
+<td><a href="../reference/plotYield.html"><code>plotYield(sim)</code></a></td>
+<td>
+<code>species</code>, <code>total</code>, <code>log</code>
+</td>
+<td>total yield per species</td>
+</tr>
+<tr class="odd">
+<td><a href="../reference/plotYieldGear.html"><code>plotYieldGear(sim)</code></a></td>
+<td>
+<code>species</code>, <code>total</code>
+</td>
+<td>yield per species faceted by gear</td>
+</tr>
+</tbody>
+</table>
+<div class="sourceCode" id="cb4"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="fu"><a href="../reference/plotBiomass.html">plotBiomass</a></span><span class="op">(</span><span class="va">sim</span><span class="op">)</span></span>
+<span><span class="fu"><a href="../reference/plotBiomass.html">plotBiomass</a></span><span class="op">(</span><span class="va">sim</span>, species <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"Cod"</span>, <span class="st">"Herring"</span><span class="op">)</span>, total <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
+<span><span class="fu"><a href="../reference/plotBiomass.html">plotBiomass</a></span><span class="op">(</span><span class="va">sim</span>, start_time <span class="op">=</span> <span class="fl">1980</span>, end_time <span class="op">=</span> <span class="fl">1990</span><span class="op">)</span></span>
+<span><span class="fu"><a href="../reference/plotYield.html">plotYield</a></span><span class="op">(</span><span class="va">sim</span>, log <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span></span></code></pre></div>
+</div>
+<div class="section level3">
+<h3 id="plots-against-body-size">Plots against body size<a class="anchor" aria-label="anchor" href="#plots-against-body-size"></a>
+</h3>
+<p>These show how a quantity varies with body size, by default at the
+final time step. Use <code>time_range</code> to average over a time
+period.</p>
+<table class="table">
+<colgroup>
+<col width="33%">
+<col width="33%">
+<col width="33%">
+</colgroup>
+<thead><tr class="header">
+<th>Function</th>
+<th>Key arguments</th>
+<th>Shows</th>
+</tr></thead>
+<tbody>
+<tr class="odd">
+<td><a href="../reference/plotSpectra.html"><code>plotSpectra(sim)</code></a></td>
+<td>
+<code>power</code>, <code>time_range</code>, <code>wlim</code>,
+<code>species</code>
+</td>
+<td>abundance (or biomass) spectra</td>
+</tr>
+<tr class="even">
+<td><a href="../reference/plotFeedingLevel.html"><code>plotFeedingLevel(sim)</code></a></td>
+<td>
+<code>time_range</code>, <code>species</code>,
+<code>highlight</code>
+</td>
+<td>feeding level (0–1) at size</td>
+</tr>
+<tr class="odd">
+<td><a href="../reference/plotPredMort.html"><code>plotPredMort(sim)</code></a></td>
+<td>
+<code>time_range</code>, <code>species</code>,
+<code>highlight</code>
+</td>
+<td>predation mortality at size</td>
+</tr>
+<tr class="even">
+<td><a href="../reference/plotFMort.html"><code>plotFMort(sim)</code></a></td>
+<td>
+<code>time_range</code>, <code>species</code>,
+<code>highlight</code>
+</td>
+<td>fishing mortality at size</td>
+</tr>
+<tr class="odd">
+<td><a href="../reference/plotGrowthCurves.html"><code>plotGrowthCurves(sim)</code></a></td>
+<td>
+<code>species</code>, <code>max_age</code>, <code>percentage</code>,
+<code>species_panel</code>
+</td>
+<td>size at age</td>
+</tr>
+<tr class="even">
+<td><a href="../reference/plotDiet.html"><code>plotDiet(params)</code></a></td>
+<td><code>species</code></td>
+<td>diet composition at size</td>
+</tr>
+</tbody>
+</table>
+<div class="sourceCode" id="cb5"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="fu"><a href="../reference/plotSpectra.html">plotSpectra</a></span><span class="op">(</span><span class="va">sim</span>, power <span class="op">=</span> <span class="fl">2</span>, time_range <span class="op">=</span> <span class="fl">1990</span><span class="op">:</span><span class="fl">2000</span><span class="op">)</span></span>
+<span><span class="fu"><a href="../reference/plotFeedingLevel.html">plotFeedingLevel</a></span><span class="op">(</span><span class="va">sim</span>, highlight <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"Cod"</span>, <span class="st">"Haddock"</span><span class="op">)</span><span class="op">)</span></span>
+<span><span class="fu"><a href="../reference/plotGrowthCurves.html">plotGrowthCurves</a></span><span class="op">(</span><span class="va">sim</span>, species <span class="op">=</span> <span class="st">"Cod"</span>, max_age <span class="op">=</span> <span class="fl">20</span><span class="op">)</span></span>
+<span><span class="fu"><a href="../reference/plotDiet.html">plotDiet</a></span><span class="op">(</span><span class="va">params</span>, species <span class="op">=</span> <span class="st">"Cod"</span><span class="op">)</span></span></code></pre></div>
+</div>
+<div class="section level3">
+<h3 id="summary-plot">Summary plot<a class="anchor" aria-label="anchor" href="#summary-plot"></a>
+</h3>
+<div class="sourceCode" id="cb6"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="fu"><a href="../reference/plot.html">plot</a></span><span class="op">(</span><span class="va">sim</span><span class="op">)</span>   <span class="co"># 5-panel summary: feeding level, biomass, predation mort, fishing mort, spectra</span></span></code></pre></div>
+<hr>
+</div>
+</div>
+<div class="section level2">
+<h2 id="plotting-arrays-directly">Plotting arrays directly<a class="anchor" aria-label="anchor" href="#plotting-arrays-directly"></a>
+</h2>
+<p>The arrays returned by summary functions carry class
+<code>ArraySpeciesBySize</code> or <code>ArraySpeciesByTime</code> and
+have <code><a href="../reference/plot.html">plot()</a></code> and <code><a href="https://rdrr.io/pkg/plotly/man/ggplotly.html" class="external-link">ggplotly()</a></code> methods. This makes
+it easy to plot any quantity without a dedicated plot function.</p>
+<table class="table">
+<colgroup>
+<col width="33%">
+<col width="33%">
+<col width="33%">
+</colgroup>
+<thead><tr class="header">
+<th>Class</th>
+<th>Typical source</th>
+<th>
+<code><a href="../reference/plot.html">plot()</a></code> shows</th>
+</tr></thead>
+<tbody>
+<tr class="odd">
+<td><code>ArraySpeciesByTime</code></td>
+<td>
+<code>getBiomass(sim)</code>, <code>getSSB(sim)</code>,
+<code>getYield(sim)</code>, <code>getN(sim)</code>
+</td>
+<td>value vs time, one line per species</td>
+</tr>
+<tr class="even">
+<td><code>ArraySpeciesBySize</code></td>
+<td>
+<code>getFeedingLevel(params)</code>,
+<code>getPredMort(params)</code>, <code>getEncounter(params)</code>
+</td>
+<td>value vs size, one line per species</td>
+</tr>
+</tbody>
+</table>
+<div class="sourceCode" id="cb7"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="fu"><a href="../reference/plot.html">plot</a></span><span class="op">(</span><span class="fu"><a href="../reference/getBiomass.html">getBiomass</a></span><span class="op">(</span><span class="va">sim</span><span class="op">)</span><span class="op">)</span>          <span class="co"># equivalent to plotBiomass(sim)</span></span>
+<span><span class="fu"><a href="../reference/plot.html">plot</a></span><span class="op">(</span><span class="fu"><a href="../reference/getSSB.html">getSSB</a></span><span class="op">(</span><span class="va">sim</span><span class="op">)</span><span class="op">)</span></span>
+<span><span class="fu"><a href="../reference/plot.html">plot</a></span><span class="op">(</span><span class="fu"><a href="../reference/getFeedingLevel.html">getFeedingLevel</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span><span class="op">)</span>  <span class="co"># same as plotFeedingLevel(params)</span></span>
+<span></span>
+<span><span class="co"># Interactive versions</span></span>
+<span><span class="fu"><a href="https://rdrr.io/pkg/plotly/man/ggplotly.html" class="external-link">ggplotly</a></span><span class="op">(</span><span class="fu"><a href="../reference/getBiomass.html">getBiomass</a></span><span class="op">(</span><span class="va">sim</span><span class="op">)</span><span class="op">)</span></span>
+<span><span class="fu"><a href="https://rdrr.io/pkg/plotly/man/ggplotly.html" class="external-link">ggplotly</a></span><span class="op">(</span><span class="fu"><a href="../reference/getEncounter.html">getEncounter</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span><span class="op">)</span></span></code></pre></div>
+<p><code>plot(&lt;ArraySpeciesByTime&gt;)</code> accepts:
+<code>species</code>, <code>start_time</code>, <code>end_time</code>,
+<code>total</code>, <code>background</code>, <code>highlight</code>,
+<code>log</code>, <code>ylim</code>.</p>
+<p><code>plot(&lt;ArraySpeciesBySize&gt;)</code> accepts:
+<code>species</code>, <code>highlight</code>, <code>log_x</code>,
+<code>log_y</code>, <code>wlim</code>, <code>ylim</code>,
+<code>all.sizes</code>.</p>
+<hr>
+</div>
+<div class="section level2">
+<h2 id="common-arguments">Common arguments<a class="anchor" aria-label="anchor" href="#common-arguments"></a>
+</h2>
+<p>Most analysis and plotting functions share these optional
+arguments:</p>
+<table class="table">
+<colgroup>
+<col width="50%">
+<col width="50%">
+</colgroup>
+<thead><tr class="header">
+<th>Argument</th>
+<th>Effect</th>
+</tr></thead>
+<tbody>
+<tr class="odd">
+<td><code>species</code></td>
+<td>character vector — restrict to a subset of species</td>
+</tr>
+<tr class="even">
+<td>
+<code>min_w</code>, <code>max_w</code>
+</td>
+<td>restrict size range (by weight, in grams)</td>
+</tr>
+<tr class="odd">
+<td>
+<code>min_l</code>, <code>max_l</code>
+</td>
+<td>restrict size range (by length, in cm)</td>
+</tr>
+<tr class="even">
+<td><code>time_range</code></td>
+<td>numeric vector — average over this time period (plot functions)</td>
+</tr>
+<tr class="odd">
+<td>
+<code>start_time</code>, <code>end_time</code>
+</td>
+<td>restrict time axis (time-series plots)</td>
+</tr>
+<tr class="even">
+<td><code>highlight</code></td>
+<td>character vector — draw named species with thicker lines</td>
+</tr>
+<tr class="odd">
+<td><code>total</code></td>
+<td>logical — add a line for the community total</td>
+</tr>
+<tr class="even">
+<td><code>log</code></td>
+<td>logical — log-scale y axis</td>
+</tr>
+</tbody>
+</table>
+<hr>
+</div>
+<div class="section level2">
+<h2 id="working-with-ggplot2">Working with ggplot2<a class="anchor" aria-label="anchor" href="#working-with-ggplot2"></a>
+</h2>
+<p>All <code>plot*()</code> functions return a <code>ggplot2</code>
+object, so you can customise them:</p>
+<div class="sourceCode" id="cb8"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://ggplot2.tidyverse.org" class="external-link">ggplot2</a></span><span class="op">)</span></span>
+<span><span class="va">p</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/plotBiomass.html">plotBiomass</a></span><span class="op">(</span><span class="va">sim</span>, species <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"Cod"</span>, <span class="st">"Herring"</span><span class="op">)</span><span class="op">)</span></span>
+<span><span class="va">p</span> <span class="op">+</span> <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/ggtheme.html" class="external-link">theme_bw</a></span><span class="op">(</span><span class="op">)</span> <span class="op">+</span> <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/labs.html" class="external-link">labs</a></span><span class="op">(</span>title <span class="op">=</span> <span class="st">"Biomass through time"</span><span class="op">)</span></span>
+<span><span class="va">p</span> <span class="op">+</span> <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/geom_abline.html" class="external-link">geom_hline</a></span><span class="op">(</span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/aes.html" class="external-link">aes</a></span><span class="op">(</span>yintercept <span class="op">=</span> <span class="fl">1e10</span><span class="op">)</span>, linetype <span class="op">=</span> <span class="st">"dashed"</span><span class="op">)</span></span></code></pre></div>
+<p>Change species colours and line types via the
+<code>MizerParams</code> object:</p>
+<div class="sourceCode" id="cb9"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">params</span><span class="op">@</span><span class="va">linecolour</span><span class="op">[</span><span class="st">"Cod"</span><span class="op">]</span> <span class="op">&lt;-</span> <span class="st">"darkblue"</span></span>
+<span><span class="va">params</span><span class="op">@</span><span class="va">linetype</span><span class="op">[</span><span class="st">"Cod"</span><span class="op">]</span>   <span class="op">&lt;-</span> <span class="st">"dashed"</span></span></code></pre></div>
+<hr>
+</div>
+<div class="section level2">
+<h2 id="quick-reference">Quick reference<a class="anchor" aria-label="anchor" href="#quick-reference"></a>
+</h2>
+<div class="sourceCode" id="cb10"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="co"># ── Accessing raw arrays ───────────────────────────────────────────────────────</span></span>
+<span><span class="fu"><a href="../reference/N.html">N</a></span><span class="op">(</span><span class="va">sim</span><span class="op">)</span>                  <span class="co"># time × species × size</span></span>
+<span><span class="fu"><a href="../reference/N.html">NResource</a></span><span class="op">(</span><span class="va">sim</span><span class="op">)</span>          <span class="co"># time × size</span></span>
+<span><span class="fu"><a href="../reference/finalN.html">finalN</a></span><span class="op">(</span><span class="va">sim</span><span class="op">)</span>             <span class="co"># species × size  (last time step)</span></span>
+<span><span class="fu"><a href="../reference/finalN.html">finalNResource</a></span><span class="op">(</span><span class="va">sim</span><span class="op">)</span>     <span class="co"># size            (last time step)</span></span>
+<span></span>
+<span><span class="co"># ── Species biomass / abundance / yield (time × species) ──────────────────────</span></span>
+<span><span class="fu"><a href="../reference/getBiomass.html">getBiomass</a></span><span class="op">(</span><span class="va">sim</span><span class="op">)</span>         <span class="co"># total biomass</span></span>
+<span><span class="fu"><a href="../reference/getSSB.html">getSSB</a></span><span class="op">(</span><span class="va">sim</span><span class="op">)</span>             <span class="co"># spawning stock biomass</span></span>
+<span><span class="fu"><a href="../reference/getN.html">getN</a></span><span class="op">(</span><span class="va">sim</span><span class="op">)</span>               <span class="co"># total abundance (numbers)</span></span>
+<span><span class="fu"><a href="../reference/getYield.html">getYield</a></span><span class="op">(</span><span class="va">sim</span><span class="op">)</span>           <span class="co"># catch in weight</span></span>
+<span><span class="fu"><a href="../reference/getYieldGear.html">getYieldGear</a></span><span class="op">(</span><span class="va">sim</span><span class="op">)</span>       <span class="co"># catch by gear (time × gear × species)</span></span>
+<span></span>
+<span><span class="co"># ── Rates at size (time × species × size) ─────────────────────────────────────</span></span>
+<span><span class="fu"><a href="../reference/getFeedingLevel.html">getFeedingLevel</a></span><span class="op">(</span><span class="va">sim</span><span class="op">)</span>    <span class="co"># satiation (0 = starving, 1 = full)</span></span>
+<span><span class="fu"><a href="../reference/getPredMort.html">getPredMort</a></span><span class="op">(</span><span class="va">sim</span><span class="op">)</span>        <span class="co"># predation mortality</span></span>
+<span><span class="fu"><a href="../reference/getFMort.html">getFMort</a></span><span class="op">(</span><span class="va">sim</span><span class="op">)</span>           <span class="co"># fishing mortality</span></span>
+<span><span class="fu"><a href="../reference/getFMortGear.html">getFMortGear</a></span><span class="op">(</span><span class="va">sim</span><span class="op">)</span>       <span class="co"># fishing mortality by gear (time × gear × species × size)</span></span>
+<span></span>
+<span><span class="co"># ── Diet and trophic (species × size × …) ────────────────────────────────────</span></span>
+<span><span class="fu"><a href="../reference/getDiet.html">getDiet</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span>                 <span class="co"># proportion of diet from each prey (predator × size × prey)</span></span>
+<span><span class="fu"><a href="../reference/getTrophicLevel.html">getTrophicLevel</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span>         <span class="co"># trophic level at size (species × size)</span></span>
+<span><span class="fu"><a href="../reference/getTrophicLevelBySpecies.html">getTrophicLevelBySpecies</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span> <span class="co"># mean trophic level (species)</span></span>
+<span></span>
+<span><span class="co"># ── Community indicators (time series) ────────────────────────────────────────</span></span>
+<span><span class="fu"><a href="../reference/getProportionOfLargeFish.html">getProportionOfLargeFish</a></span><span class="op">(</span><span class="va">sim</span>, threshold_w <span class="op">=</span> <span class="fl">100</span><span class="op">)</span></span>
+<span><span class="fu"><a href="../reference/getMeanWeight.html">getMeanWeight</a></span><span class="op">(</span><span class="va">sim</span><span class="op">)</span></span>
+<span><span class="fu"><a href="../reference/getMeanMaxWeight.html">getMeanMaxWeight</a></span><span class="op">(</span><span class="va">sim</span><span class="op">)</span></span>
+<span><span class="fu"><a href="../reference/getCommunitySlope.html">getCommunitySlope</a></span><span class="op">(</span><span class="va">sim</span><span class="op">)</span>          <span class="co"># returns data.frame with slope, intercept, R²</span></span>
+<span></span>
+<span><span class="co"># ── Dedicated plot functions ───────────────────────────────────────────────────</span></span>
+<span><span class="fu"><a href="../reference/plot.html">plot</a></span><span class="op">(</span><span class="va">sim</span><span class="op">)</span>               <span class="co"># 5-panel summary</span></span>
+<span><span class="fu"><a href="../reference/plotBiomass.html">plotBiomass</a></span><span class="op">(</span><span class="va">sim</span><span class="op">)</span>        <span class="co"># biomass vs time</span></span>
+<span><span class="fu"><a href="../reference/plotYield.html">plotYield</a></span><span class="op">(</span><span class="va">sim</span><span class="op">)</span>          <span class="co"># yield vs time</span></span>
+<span><span class="fu"><a href="../reference/plotYieldGear.html">plotYieldGear</a></span><span class="op">(</span><span class="va">sim</span><span class="op">)</span>      <span class="co"># yield vs time, faceted by gear</span></span>
+<span><span class="fu"><a href="../reference/plotSpectra.html">plotSpectra</a></span><span class="op">(</span><span class="va">sim</span><span class="op">)</span>        <span class="co"># abundance spectra vs size</span></span>
+<span><span class="fu"><a href="../reference/plotFeedingLevel.html">plotFeedingLevel</a></span><span class="op">(</span><span class="va">sim</span><span class="op">)</span>   <span class="co"># feeding level vs size</span></span>
+<span><span class="fu"><a href="../reference/plotPredMort.html">plotPredMort</a></span><span class="op">(</span><span class="va">sim</span><span class="op">)</span>       <span class="co"># predation mortality vs size</span></span>
+<span><span class="fu"><a href="../reference/plotFMort.html">plotFMort</a></span><span class="op">(</span><span class="va">sim</span><span class="op">)</span>          <span class="co"># fishing mortality vs size</span></span>
+<span><span class="fu"><a href="../reference/plotGrowthCurves.html">plotGrowthCurves</a></span><span class="op">(</span><span class="va">sim</span><span class="op">)</span>   <span class="co"># size vs age</span></span>
+<span><span class="fu"><a href="../reference/plotDiet.html">plotDiet</a></span><span class="op">(</span><span class="va">params</span>, species <span class="op">=</span> <span class="st">"Cod"</span><span class="op">)</span>  <span class="co"># diet composition vs size</span></span>
+<span></span>
+<span><span class="co"># ── Plot any summary array directly ───────────────────────────────────────────</span></span>
+<span><span class="fu"><a href="../reference/plot.html">plot</a></span><span class="op">(</span><span class="fu"><a href="../reference/getBiomass.html">getBiomass</a></span><span class="op">(</span><span class="va">sim</span><span class="op">)</span><span class="op">)</span>           <span class="co"># ArraySpeciesByTime → value vs time</span></span>
+<span><span class="fu"><a href="../reference/plot.html">plot</a></span><span class="op">(</span><span class="fu"><a href="../reference/getFeedingLevel.html">getFeedingLevel</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span><span class="op">)</span>   <span class="co"># ArraySpeciesBySize → value vs size</span></span>
+<span><span class="fu"><a href="https://rdrr.io/pkg/plotly/man/ggplotly.html" class="external-link">ggplotly</a></span><span class="op">(</span><span class="fu"><a href="../reference/getBiomass.html">getBiomass</a></span><span class="op">(</span><span class="va">sim</span><span class="op">)</span><span class="op">)</span>       <span class="co"># interactive version</span></span>
+<span></span>
+<span><span class="co"># ── Add plotly interactivity to any named plot function ───────────────────────</span></span>
+<span><span class="fu"><a href="../reference/plotBiomass.html">plotlyBiomass</a></span><span class="op">(</span><span class="va">sim</span><span class="op">)</span></span>
+<span><span class="fu"><a href="../reference/plotSpectra.html">plotlySpectra</a></span><span class="op">(</span><span class="va">sim</span><span class="op">)</span></span>
+<span><span class="fu"><a href="../reference/plotFeedingLevel.html">plotlyFeedingLevel</a></span><span class="op">(</span><span class="va">sim</span><span class="op">)</span></span>
+<span><span class="co"># … etc.</span></span></code></pre></div>
+</div>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside>
+</div>
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+    <footer><div class="pkgdown-footer-left">
+  <p>Developed by <a href="https://www.york.ac.uk/maths/staff/gustav-delius/" class="external-link">Gustav Delius</a>, Finlay Scott, <a href="http://www.utas.edu.au/profiles/staff/imas/julia-blanchard" class="external-link">Julia Blanchard</a>, <a href="https://ken.haste.dk/" class="external-link">Ken Andersen</a>.</p>
+</div>
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diff --git a/docs/articles/cohort_dynamics_and_diffusion.html b/docs/articles/cohort_dynamics_and_diffusion.html
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@@ -0,0 +1,420 @@
+<!DOCTYPE html>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en-GB">
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+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Cohort dynamics and diffusion</h1>
+            
+      
+      <small class="dont-index">Source: <a href="https://github.com/sizespectrum/mizer/blob/HEAD/vignettes/cohort_dynamics_and_diffusion.Rmd" class="external-link"><code>vignettes/cohort_dynamics_and_diffusion.Rmd</code></a></small>
+      <div class="d-none name"><code>cohort_dynamics_and_diffusion.Rmd</code></div>
+    </div>
+
+    
+    
+<div class="section level2">
+<h2 id="introduction">Introduction<a class="anchor" aria-label="anchor" href="#introduction"></a>
+</h2>
+<p>In this vignette we explore how yearly cohorts of fish evolve over
+time in a single-species size-spectrum model. We will drive the model
+with a short burst of reproductive flux once a year, creating distinct
+cohorts. We will then visualise how these cohorts grow through the size
+spectrum and how the diffusion rate affects the spreading of the cohorts
+over time.</p>
+<p>Diffusion in the size-spectrum model represents individual
+variability in growth rates. Without diffusion, all individuals born at
+the same time grow at the same deterministic rate and remain together as
+a sharp cohort. With diffusion, individuals spread out in size, causing
+the cohort to broaden as it ages.</p>
+<div class="sourceCode" id="cb1"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://sizespectrum.org/mizer/">mizer</a></span><span class="op">)</span></span>
+<span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://ggplot2.tidyverse.org" class="external-link">ggplot2</a></span><span class="op">)</span></span>
+<span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://plotly-r.com" class="external-link">plotly</a></span><span class="op">)</span></span></code></pre></div>
+</div>
+<div class="section level2">
+<h2 id="setting-up-the-model">Setting up the model<a class="anchor" aria-label="anchor" href="#setting-up-the-model"></a>
+</h2>
+<p>We start by creating a single-species model using
+<code><a href="../reference/newSingleSpeciesParams.html">newSingleSpeciesParams()</a></code>. This sets up a species embedded
+in a power-law background community.</p>
+<div class="sourceCode" id="cb2"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">params</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/newSingleSpeciesParams.html">newSingleSpeciesParams</a></span><span class="op">(</span>h <span class="op">=</span> <span class="fl">10</span>, no_w <span class="op">=</span> <span class="fl">400</span><span class="op">)</span></span>
+<span><span class="va">params</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/steady.html">steady</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span></span></code></pre></div>
+</div>
+<div class="section level2">
+<h2 id="pulsed-reproduction">Pulsed reproduction<a class="anchor" aria-label="anchor" href="#pulsed-reproduction"></a>
+</h2>
+<p>To create distinct yearly cohorts, we need reproduction to happen in
+short bursts rather than continuously. We achieve this by writing a
+custom density-dependent reproduction rate function (RDD function) that
+only allows reproduction during a brief window at the start of each
+year.</p>
+<p>First, we calculate the steady-state reproduction rate. This tells us
+the total egg production rate needed to maintain the population. We will
+use this value as the magnitude of our annual pulse.</p>
+<div class="sourceCode" id="cb3"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">rdd_steady</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/getRDD.html">getRDD</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span></span>
+<span><span class="fu"><a href="https://rdrr.io/r/base/cat.html" class="external-link">cat</a></span><span class="op">(</span><span class="st">"Steady-state RDD:"</span>, <span class="va">rdd_steady</span>, <span class="st">"\n"</span><span class="op">)</span></span></code></pre></div>
+<pre><code><span><span class="co">## Steady-state RDD: 0.2801128</span></span></code></pre>
+<p>The RDD function receives the current time <code>t</code> as an
+argument. We use this to turn reproduction on only during a short window
+at the start of each year and off at all other times. To maintain the
+same total annual egg production, we scale up the rate during the pulse
+to compensate for its short duration.</p>
+<div class="sourceCode" id="cb5"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="co"># Custom RDD function: pulsed reproduction using a fixed rate</span></span>
+<span><span class="va">pulse_width</span> <span class="op">&lt;-</span> <span class="fl">0.1</span>  <span class="co"># Reproduce during first 10% of each year</span></span>
+<span></span>
+<span><span class="va">annual_pulse_RDD</span> <span class="op">&lt;-</span> <span class="kw">function</span><span class="op">(</span><span class="va">rdi</span>, <span class="va">species_params</span>, <span class="va">t</span>, <span class="va">...</span><span class="op">)</span> <span class="op">{</span></span>
+<span>    <span class="va">frac</span> <span class="op">&lt;-</span> <span class="va">t</span> <span class="op"><a href="https://rdrr.io/r/base/Arithmetic.html" class="external-link">%%</a></span> <span class="fl">1</span></span>
+<span>    <span class="kw">if</span> <span class="op">(</span><span class="va">frac</span> <span class="op">&lt;</span> <span class="va">pulse_width</span><span class="op">)</span> <span class="op">{</span></span>
+<span>        <span class="co"># Scale up to maintain total annual reproduction</span></span>
+<span>        <span class="kw"><a href="https://rdrr.io/r/base/function.html" class="external-link">return</a></span><span class="op">(</span><span class="va">species_params</span><span class="op">$</span><span class="va">rdd_steady</span> <span class="op">/</span> <span class="va">pulse_width</span><span class="op">)</span></span>
+<span>    <span class="op">}</span> <span class="kw">else</span> <span class="op">{</span></span>
+<span>        <span class="kw"><a href="https://rdrr.io/r/base/function.html" class="external-link">return</a></span><span class="op">(</span><span class="fl">0</span> <span class="op">*</span> <span class="va">rdi</span><span class="op">)</span></span>
+<span>    <span class="op">}</span></span>
+<span><span class="op">}</span></span></code></pre></div>
+<p>We store the steady-state RDD value in the species parameters so our
+function can access it, and then register the function:</p>
+<div class="sourceCode" id="cb6"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">params_pulse</span> <span class="op">&lt;-</span> <span class="va">params</span></span>
+<span><span class="fu"><a href="../reference/species_params.html">species_params</a></span><span class="op">(</span><span class="va">params_pulse</span><span class="op">)</span><span class="op">$</span><span class="va">rdd_steady</span> <span class="op">&lt;-</span> <span class="va">rdd_steady</span></span>
+<span><span class="va">params_pulse</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/setRateFunction.html">setRateFunction</a></span><span class="op">(</span><span class="va">params_pulse</span>, <span class="st">"RDD"</span>, <span class="st">"annual_pulse_RDD"</span><span class="op">)</span></span></code></pre></div>
+</div>
+<div class="section level2">
+<h2 id="simulating-cohort-dynamics-without-diffusion">Simulating cohort dynamics without diffusion<a class="anchor" aria-label="anchor" href="#simulating-cohort-dynamics-without-diffusion"></a>
+</h2>
+<p>We start from an empty spectrum (no fish) and let the pulsed
+reproduction create cohorts from scratch.</p>
+<div class="sourceCode" id="cb7"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">params_empty</span> <span class="op">&lt;-</span> <span class="va">params_pulse</span></span>
+<span><span class="fu"><a href="../reference/initialN-set.html">initialN</a></span><span class="op">(</span><span class="va">params_empty</span><span class="op">)</span><span class="op">[</span><span class="op">]</span> <span class="op">&lt;-</span> <span class="fl">0</span></span>
+<span></span>
+<span><span class="va">sim_no_diff</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/project.html">project</a></span><span class="op">(</span><span class="va">params_empty</span>, t_max <span class="op">=</span> <span class="fl">5</span>, dt <span class="op">=</span> <span class="fl">0.05</span>,</span>
+<span>                       t_save <span class="op">=</span> <span class="fl">0.1</span>, progress_bar <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span></span></code></pre></div>
+<p>Let’s visualise the size spectrum at different time points to see the
+cohorts:</p>
+<div class="sourceCode" id="cb8"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">times_to_plot</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">0.5</span>, <span class="fl">1</span>, <span class="fl">1.5</span>, <span class="fl">2</span>, <span class="fl">3</span>, <span class="fl">4</span><span class="op">)</span></span>
+<span><span class="va">w</span> <span class="op">&lt;-</span> <span class="va">params_pulse</span><span class="op">@</span><span class="va">w</span></span>
+<span></span>
+<span><span class="va">plot_list</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="op">)</span></span>
+<span><span class="kw">for</span> <span class="op">(</span><span class="va">tt</span> <span class="kw">in</span> <span class="va">times_to_plot</span><span class="op">)</span> <span class="op">{</span></span>
+<span>    <span class="va">idx</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/which.min.html" class="external-link">which.min</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/MathFun.html" class="external-link">abs</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/numeric.html" class="external-link">as.numeric</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/dimnames.html" class="external-link">dimnames</a></span><span class="op">(</span><span class="va">sim_no_diff</span><span class="op">@</span><span class="va">n</span><span class="op">)</span><span class="op">$</span><span class="va">time</span><span class="op">)</span> <span class="op">-</span> <span class="va">tt</span><span class="op">)</span><span class="op">)</span></span>
+<span>    <span class="va">actual_time</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/numeric.html" class="external-link">as.numeric</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/dimnames.html" class="external-link">dimnames</a></span><span class="op">(</span><span class="va">sim_no_diff</span><span class="op">@</span><span class="va">n</span><span class="op">)</span><span class="op">$</span><span class="va">time</span><span class="op">[</span><span class="va">idx</span><span class="op">]</span><span class="op">)</span></span>
+<span>    <span class="va">n_at_t</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/numeric.html" class="external-link">as.numeric</a></span><span class="op">(</span><span class="va">sim_no_diff</span><span class="op">@</span><span class="va">n</span><span class="op">[</span><span class="va">idx</span>, <span class="fl">1</span>, <span class="op">]</span><span class="op">)</span></span>
+<span>    <span class="va">pos</span> <span class="op">&lt;-</span> <span class="va">n_at_t</span> <span class="op">&gt;</span> <span class="fl">0</span></span>
+<span>    <span class="kw">if</span> <span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/any.html" class="external-link">any</a></span><span class="op">(</span><span class="va">pos</span><span class="op">)</span><span class="op">)</span> <span class="op">{</span></span>
+<span>        <span class="va">plot_list</span><span class="op">[[</span><span class="fu"><a href="https://rdrr.io/r/base/length.html" class="external-link">length</a></span><span class="op">(</span><span class="va">plot_list</span><span class="op">)</span> <span class="op">+</span> <span class="fl">1</span><span class="op">]</span><span class="op">]</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/data.frame.html" class="external-link">data.frame</a></span><span class="op">(</span></span>
+<span>            w <span class="op">=</span> <span class="va">w</span><span class="op">[</span><span class="va">pos</span><span class="op">]</span>, n <span class="op">=</span> <span class="va">n_at_t</span><span class="op">[</span><span class="va">pos</span><span class="op">]</span> <span class="op">*</span> <span class="va">w</span><span class="op">[</span><span class="va">pos</span><span class="op">]</span><span class="op">^</span><span class="fl">2</span>,</span>
+<span>            time <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/factor.html" class="external-link">factor</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/paste.html" class="external-link">paste0</a></span><span class="op">(</span><span class="st">"t = "</span>, <span class="va">actual_time</span><span class="op">)</span><span class="op">)</span></span>
+<span>        <span class="op">)</span></span>
+<span>    <span class="op">}</span></span>
+<span><span class="op">}</span></span>
+<span><span class="va">plot_data</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/do.call.html" class="external-link">do.call</a></span><span class="op">(</span><span class="va">rbind</span>, <span class="va">plot_list</span><span class="op">)</span></span>
+<span></span>
+<span><span class="va">p</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/ggplot.html" class="external-link">ggplot</a></span><span class="op">(</span><span class="va">plot_data</span>, <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/aes.html" class="external-link">aes</a></span><span class="op">(</span>x <span class="op">=</span> <span class="va">w</span>, y <span class="op">=</span> <span class="va">n</span>, colour <span class="op">=</span> <span class="va">time</span><span class="op">)</span><span class="op">)</span> <span class="op">+</span></span>
+<span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/geom_path.html" class="external-link">geom_line</a></span><span class="op">(</span>linewidth <span class="op">=</span> <span class="fl">0.8</span><span class="op">)</span> <span class="op">+</span></span>
+<span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/scale_continuous.html" class="external-link">scale_x_log10</a></span><span class="op">(</span>limits <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">1e-3</span>, <span class="fl">100</span><span class="op">)</span><span class="op">)</span> <span class="op">+</span></span>
+<span>    <span class="co"># scale_y_log10() +</span></span>
+<span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/labs.html" class="external-link">labs</a></span><span class="op">(</span>x <span class="op">=</span> <span class="st">"Weight [g]"</span>, y <span class="op">=</span> <span class="st">"Biomass density [g]"</span>,</span>
+<span>         title <span class="op">=</span> <span class="st">"Cohort evolution without diffusion"</span>,</span>
+<span>         colour <span class="op">=</span> <span class="st">"Time"</span><span class="op">)</span> <span class="op">+</span></span>
+<span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/ggtheme.html" class="external-link">theme_minimal</a></span><span class="op">(</span>base_size <span class="op">=</span> <span class="fl">14</span><span class="op">)</span></span>
+<span></span>
+<span><span class="fu"><a href="https://rdrr.io/pkg/plotly/man/ggplotly.html" class="external-link">ggplotly</a></span><span class="op">(</span><span class="va">p</span><span class="op">)</span></span></code></pre></div>
+<div class="plotly html-widget html-fill-item" id="htmlwidget-ac96cb3ee4656e2e9ec3" style="width:700px;height:576px;"></div>
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5.508878e-09<br />time: t = 1","w: 4.749979e-03<br />n: 7.164696e-09<br />time: t = 1","w: 4.889034e-03<br />n: 9.269784e-09<br />time: t = 1","w: 5.032159e-03<br />n: 1.193270e-08<br />time: t = 1","w: 5.179475e-03<br />n: 1.528488e-08<br />time: t = 1","w: 5.331103e-03<br />n: 1.948470e-08<br />time: t = 1","w: 5.487169e-03<br />n: 2.472213e-08<br />time: t = 1","w: 5.647805e-03<br />n: 3.122393e-08<br />time: t = 1","w: 5.813143e-03<br />n: 3.925963e-08<br />time: t = 1","w: 5.983322e-03<br />n: 4.914806e-08<br />time: t = 1","w: 6.158482e-03<br />n: 6.126483e-08<br />time: t = 1","w: 6.338770e-03<br />n: 7.605043e-08<br />time: t = 1","w: 6.524336e-03<br />n: 9.401930e-08<br />time: t = 1","w: 6.715335e-03<br />n: 1.157696e-07<br />time: t = 1","w: 6.911925e-03<br />n: 1.419942e-07<br />time: t = 1","w: 7.114270e-03<br />n: 1.734918e-07<br />time: t = 1","w: 7.322538e-03<br />n: 2.111802e-07<br />time: t = 1","w: 7.536904e-03<br />n: 2.561086e-07<br />time: t = 1","w: 7.757545e-03<br />n: 3.094729e-07<br />time: t = 1","w: 7.984645e-03<br />n: 3.726297e-07<br />time: t = 1","w: 8.218394e-03<br />n: 4.471121e-07<br />time: t = 1","w: 8.458986e-03<br />n: 5.346458e-07<br />time: t = 1","w: 8.706621e-03<br />n: 6.371658e-07<br />time: t = 1","w: 8.961505e-03<br />n: 7.568326e-07<br />time: t = 1","w: 9.223851e-03<br />n: 8.960495e-07<br />time: t = 1","w: 9.493877e-03<br />n: 1.057479e-06<br />time: t = 1","w: 9.771808e-03<br />n: 1.244058e-06<br />time: t = 1","w: 1.005788e-02<br />n: 1.459015e-06<br />time: t = 1","w: 1.035232e-02<br />n: 1.705885e-06<br />time: t = 1","w: 1.065538e-02<br />n: 1.988518e-06<br />time: t = 1","w: 1.096731e-02<br />n: 2.311096e-06<br />time: t = 1","w: 1.128838e-02<br />n: 2.678138e-06<br />time: t = 1","w: 1.161884e-02<br />n: 3.094510e-06<br />time: t = 1","w: 1.195898e-02<br />n: 3.565427e-06<br />time: t = 1","w: 1.230908e-02<br />n: 4.096451e-06<br />time: t = 1","w: 1.266942e-02<br />n: 4.693491e-06<br />time: t = 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1.223832e-04<br />time: t = 1","w: 3.684818e-02<br />n: 1.285689e-04<br />time: t = 1","w: 3.792690e-02<br />n: 1.347869e-04<br />time: t = 1","w: 3.903720e-02<br />n: 1.410135e-04<br />time: t = 1","w: 4.018001e-02<br />n: 1.472236e-04<br />time: t = 1","w: 4.135627e-02<br />n: 1.533915e-04<br />time: t = 1","w: 4.256696e-02<br />n: 1.594905e-04<br />time: t = 1","w: 4.381310e-02<br />n: 1.654936e-04<br />time: t = 1","w: 4.509572e-02<br />n: 1.713730e-04<br />time: t = 1","w: 4.641589e-02<br />n: 1.771011e-04<br />time: t = 1","w: 4.777470e-02<br />n: 1.826502e-04<br />time: t = 1","w: 4.917330e-02<br />n: 1.879926e-04<br />time: t = 1","w: 5.061283e-02<br />n: 1.931014e-04<br />time: t = 1","w: 5.209451e-02<br />n: 1.979502e-04<br />time: t = 1","w: 5.361957e-02<br />n: 2.025136e-04<br />time: t = 1","w: 5.518927e-02<br />n: 2.067673e-04<br />time: t = 1","w: 5.680492e-02<br />n: 2.106882e-04<br />time: t = 1","w: 5.846787e-02<br />n: 2.142551e-04<br />time: t = 1","w: 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1","w: 1.011609e-01<br />n: 2.021844e-04<br />time: t = 1","w: 1.041223e-01<br />n: 1.976200e-04<br />time: t = 1","w: 1.071705e-01<br />n: 1.927765e-04<br />time: t = 1","w: 1.103079e-01<br />n: 1.876795e-04<br />time: t = 1","w: 1.135371e-01<br />n: 1.823554e-04<br />time: t = 1","w: 1.168609e-01<br />n: 1.768311e-04<br />time: t = 1","w: 1.202820e-01<br />n: 1.711339e-04<br />time: t = 1","w: 1.238032e-01<br />n: 1.652914e-04<br />time: t = 1","w: 1.274275e-01<br />n: 1.593310e-04<br />time: t = 1","w: 1.311579e-01<br />n: 1.532799e-04<br />time: t = 1","w: 1.349975e-01<br />n: 1.471649e-04<br />time: t = 1","w: 1.389495e-01<br />n: 1.410119e-04<br />time: t = 1","w: 1.430173e-01<br />n: 1.348463e-04<br />time: t = 1","w: 1.472041e-01<br />n: 1.286924e-04<br />time: t = 1","w: 1.515134e-01<br />n: 1.225733e-04<br />time: t = 1","w: 1.559490e-01<br />n: 1.165110e-04<br />time: t = 1","w: 1.605143e-01<br />n: 1.105259e-04<br />time: t = 1","w: 1.652133e-01<br />n: 1.046374e-04<br 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2.755169e-05<br />time: t = 1","w: 2.858514e-01<br />n: 2.508464e-05<br />time: t = 1","w: 2.942197e-01<br />n: 2.279047e-05<br />time: t = 1","w: 3.028329e-01<br />n: 2.066247e-05<br />time: t = 1","w: 3.116982e-01<br />n: 1.869357e-05<br />time: t = 1","w: 3.208231e-01<br />n: 1.687643e-05<br />time: t = 1","w: 3.302151e-01<br />n: 1.520354e-05<br />time: t = 1","w: 3.398821e-01<br />n: 1.366728e-05<br />time: t = 1","w: 3.498321e-01<br />n: 1.225999e-05<br />time: t = 1","w: 3.600733e-01<br />n: 1.097403e-05<br />time: t = 1","w: 3.706144e-01<br />n: 9.801828e-06<br />time: t = 1","w: 3.814641e-01<br />n: 8.735958e-06<br />time: t = 1","w: 3.926313e-01<br />n: 7.769152e-06<br />time: t = 1","w: 4.041255e-01<br />n: 6.894352e-06<br />time: t = 1","w: 4.159562e-01<br />n: 6.104740e-06<br />time: t = 1","w: 4.281332e-01<br />n: 5.393763e-06<br />time: t = 1","w: 4.406667e-01<br />n: 4.755154e-06<br />time: t = 1","w: 4.535672e-01<br />n: 4.182947e-06<br />time: t = 1","w: 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1.735561e-08<br />time: t = 2","w: 4.749979e-03<br />n: 2.218365e-08<br />time: t = 2","w: 4.889034e-03<br />n: 2.821279e-08<br />time: t = 2","w: 5.032159e-03<br />n: 3.570565e-08<br />time: t = 2","w: 5.179475e-03<br />n: 4.497388e-08<br />time: t = 2","w: 5.331103e-03<br />n: 5.638565e-08<br />time: t = 2","w: 5.487169e-03<br />n: 7.037388e-08<br />time: t = 2","w: 5.647805e-03<br />n: 8.744528e-08<br />time: t = 2","w: 5.813143e-03<br />n: 1.081903e-07<br />time: t = 2","w: 5.983322e-03<br />n: 1.332941e-07<br />time: t = 2","w: 6.158482e-03<br />n: 1.635479e-07<br />time: t = 2","w: 6.338770e-03<br />n: 1.998618e-07<br />time: t = 2","w: 6.524336e-03<br />n: 2.432783e-07<br />time: t = 2","w: 6.715335e-03<br />n: 2.949860e-07<br />time: t = 2","w: 6.911925e-03<br />n: 3.563348e-07<br />time: t = 2","w: 7.114270e-03<br />n: 4.288516e-07<br />time: t = 2","w: 7.322538e-03<br />n: 5.142558e-07<br />time: t = 2","w: 7.536904e-03<br />n: 6.144760e-07<br />time: t = 2","w: 7.757545e-03<br />n: 7.316666e-07<br />time: t = 2","w: 7.984645e-03<br />n: 8.682241e-07<br />time: t = 2","w: 8.218394e-03<br />n: 1.026804e-06<br />time: t = 2","w: 8.458986e-03<br />n: 1.210334e-06<br />time: t = 2","w: 8.706621e-03<br />n: 1.422035e-06<br />time: t = 2","w: 8.961505e-03<br />n: 1.665428e-06<br />time: t = 2","w: 9.223851e-03<br />n: 1.944350e-06<br />time: t = 2","w: 9.493877e-03<br />n: 2.262965e-06<br />time: t = 2","w: 9.771808e-03<br />n: 2.625771e-06<br />time: t = 2","w: 1.005788e-02<br />n: 3.037607e-06<br />time: t = 2","w: 1.035232e-02<br />n: 3.503655e-06<br />time: t = 2","w: 1.065538e-02<br />n: 4.029438e-06<br />time: t = 2","w: 1.096731e-02<br />n: 4.620819e-06<br />time: t = 2","w: 1.128838e-02<br />n: 5.283988e-06<br />time: t = 2","w: 1.161884e-02<br />n: 6.025452e-06<br />time: t = 2","w: 1.195898e-02<br />n: 6.852014e-06<br />time: t = 2","w: 1.230908e-02<br />n: 7.770749e-06<br />time: t = 2","w: 1.266942e-02<br />n: 8.788975e-06<br />time: t = 2","w: 1.304032e-02<br />n: 9.914218e-06<br />time: t = 2","w: 1.342207e-02<br />n: 1.115417e-05<br />time: t = 2","w: 1.381500e-02<br />n: 1.251663e-05<br />time: t = 2","w: 1.421943e-02<br />n: 1.400948e-05<br />time: t = 2","w: 1.463570e-02<br />n: 1.564059e-05<br />time: t = 2","w: 1.506416e-02<br />n: 1.741775e-05<br />time: t = 2","w: 1.550516e-02<br />n: 1.934864e-05<br />time: t = 2","w: 1.595907e-02<br />n: 2.144070e-05<br />time: t = 2","w: 1.642627e-02<br />n: 2.370108e-05<br />time: t = 2","w: 1.690714e-02<br />n: 2.613654e-05<br />time: t = 2","w: 1.740209e-02<br />n: 2.875335e-05<br />time: t = 2","w: 1.791154e-02<br />n: 3.155721e-05<br />time: t = 2","w: 1.843589e-02<br />n: 3.455313e-05<br />time: t = 2","w: 1.897560e-02<br />n: 3.774537e-05<br />time: t = 2","w: 1.953111e-02<br />n: 4.113729e-05<br />time: t = 2","w: 2.010287e-02<br />n: 4.473128e-05<br />time: t = 2","w: 2.069138e-02<br />n: 4.852868e-05<br />time: t = 2","w: 2.129712e-02<br />n: 5.252965e-05<br />time: t = 2","w: 2.192058e-02<br />n: 5.673311e-05<br />time: t = 2","w: 2.256230e-02<br />n: 6.113664e-05<br />time: t = 2","w: 2.322281e-02<br />n: 6.573641e-05<br />time: t = 2","w: 2.390265e-02<br />n: 7.052714e-05<br />time: t = 2","w: 2.460240e-02<br />n: 7.550201e-05<br />time: t = 2","w: 2.532263e-02<br />n: 8.065264e-05<br />time: t = 2","w: 2.606394e-02<br />n: 8.596905e-05<br />time: t = 2","w: 2.682696e-02<br />n: 9.143964e-05<br />time: t = 2","w: 2.761231e-02<br />n: 9.705121e-05<br />time: t = 2","w: 2.842066e-02<br />n: 1.027889e-04<br />time: t = 2","w: 2.925266e-02<br />n: 1.086365e-04<br />time: t = 2","w: 3.010903e-02<br />n: 1.145759e-04<br />time: t = 2","w: 3.099046e-02<br />n: 1.205880e-04<br />time: t = 2","w: 3.189770e-02<br />n: 1.266518e-04<br />time: t = 2","w: 3.283150e-02<br />n: 1.327455e-04<br />time: t = 2","w: 3.379263e-02<br />n: 1.388460e-04<br />time: t = 2","w: 3.478191e-02<br />n: 1.449290e-04<br />time: t = 2","w: 3.580014e-02<br />n: 1.509695e-04<br />time: t = 2","w: 3.684818e-02<br />n: 1.569418e-04<br />time: t = 2","w: 3.792690e-02<br />n: 1.628197e-04<br />time: t = 2","w: 3.903720e-02<br />n: 1.685764e-04<br />time: t = 2","w: 4.018001e-02<br />n: 1.741852e-04<br />time: t = 2","w: 4.135627e-02<br />n: 1.796194e-04<br />time: t = 2","w: 4.256696e-02<br />n: 1.848525e-04<br />time: t = 2","w: 4.381310e-02<br />n: 1.898585e-04<br />time: t = 2","w: 4.509572e-02<br />n: 1.946122e-04<br />time: t = 2","w: 4.641589e-02<br />n: 1.990891e-04<br />time: t = 2","w: 4.777470e-02<br />n: 2.032659e-04<br />time: t = 2","w: 4.917330e-02<br />n: 2.071208e-04<br />time: t = 2","w: 5.061283e-02<br />n: 2.106333e-04<br />time: t = 2","w: 5.209451e-02<br />n: 2.137846e-04<br />time: t = 2","w: 5.361957e-02<br />n: 2.165578e-04<br />time: t = 2","w: 5.518927e-02<br />n: 2.189382e-04<br />time: t = 2","w: 5.680492e-02<br />n: 2.209132e-04<br />time: t = 2","w: 5.846787e-02<br />n: 2.224723e-04<br />time: t = 2","w: 6.017951e-02<br />n: 2.236077e-04<br />time: t = 2","w: 6.194125e-02<br />n: 2.243139e-04<br />time: t = 2","w: 6.375456e-02<br />n: 2.245882e-04<br />time: t = 2","w: 6.562096e-02<br />n: 2.244303e-04<br />time: t = 2","w: 6.754200e-02<br />n: 2.238425e-04<br />time: t = 2","w: 6.951928e-02<br />n: 2.228301e-04<br />time: t = 2","w: 7.155444e-02<br />n: 2.214005e-04<br />time: t = 2","w: 7.364918e-02<br />n: 2.195642e-04<br />time: t = 2","w: 7.580524e-02<br />n: 2.173338e-04<br />time: t = 2","w: 7.802442e-02<br />n: 2.147246e-04<br />time: t = 2","w: 8.030857e-02<br />n: 2.117541e-04<br />time: t = 2","w: 8.265959e-02<br />n: 2.084420e-04<br />time: t = 2","w: 8.507943e-02<br />n: 2.048103e-04<br />time: t = 2","w: 8.757011e-02<br />n: 2.008828e-04<br />time: t = 2","w: 9.013370e-02<br />n: 1.966851e-04<br />time: t = 2","w: 9.277235e-02<br />n: 1.922445e-04<br />time: t = 2","w: 9.548824e-02<br />n: 1.875898e-04<br />time: t = 2","w: 9.828363e-02<br />n: 1.827511e-04<br />time: t = 2","w: 1.011609e-01<br />n: 1.777595e-04<br />time: t = 2","w: 1.041223e-01<br />n: 1.726471e-04<br />time: t = 2","w: 1.071705e-01<br />n: 1.674470e-04<br />time: t = 2","w: 1.103079e-01<br />n: 1.621927e-04<br />time: t = 2","w: 1.135371e-01<br />n: 1.569181e-04<br />time: t = 2","w: 1.168609e-01<br />n: 1.516574e-04<br />time: t = 2","w: 1.202820e-01<br />n: 1.464449e-04<br />time: t = 2","w: 1.238032e-01<br />n: 1.413150e-04<br />time: t = 2","w: 1.274275e-01<br />n: 1.363015e-04<br />time: t = 2","w: 1.311579e-01<br />n: 1.314382e-04<br />time: t = 2","w: 1.349975e-01<br />n: 1.267582e-04<br />time: t = 2","w: 1.389495e-01<br />n: 1.222939e-04<br />time: t = 2","w: 1.430173e-01<br />n: 1.180769e-04<br />time: t = 2","w: 1.472041e-01<br />n: 1.141381e-04<br />time: t = 2","w: 1.515134e-01<br />n: 1.105070e-04<br />time: t = 2","w: 1.559490e-01<br />n: 1.072122e-04<br />time: t = 2","w: 1.605143e-01<br />n: 1.042806e-04<br />time: t = 2","w: 1.652133e-01<br />n: 1.017380e-04<br />time: t = 2","w: 1.700499e-01<br />n: 9.960842e-05<br />time: t = 2","w: 1.750281e-01<br />n: 9.791403e-05<br />time: t = 2","w: 1.801520e-01<br />n: 9.667526e-05<br />time: t = 2","w: 1.854259e-01<br />n: 9.591043e-05<br />time: t = 2","w: 1.908542e-01<br />n: 9.563566e-05<br />time: t = 2","w: 1.964414e-01<br />n: 9.586473e-05<br />time: t = 2","w: 2.021922e-01<br />n: 9.660889e-05<br />time: t = 2","w: 2.081113e-01<br />n: 9.787671e-05<br />time: t = 2","w: 2.142037e-01<br />n: 9.967393e-05<br />time: t = 2","w: 2.204745e-01<br />n: 1.020033e-04<br />time: t = 2","w: 2.269289e-01<br />n: 1.048644e-04<br />time: t = 2","w: 2.335721e-01<br />n: 1.082534e-04<br />time: t = 2","w: 2.404099e-01<br />n: 1.121633e-04<br />time: t = 2","w: 2.474479e-01<br />n: 1.165832e-04<br />time: t = 2","w: 2.546918e-01<br />n: 1.214987e-04<br />time: t = 2","w: 2.621479e-01<br />n: 1.268917e-04<br />time: t = 2","w: 2.698222e-01<br />n: 1.327400e-04<br />time: t = 2","w: 2.777212e-01<br />n: 1.390178e-04<br />time: t = 2","w: 2.858514e-01<br />n: 1.456953e-04<br />time: t = 2","w: 2.942197e-01<br />n: 1.527389e-04<br />time: t = 2","w: 3.028329e-01<br />n: 1.601114e-04<br />time: t = 2","w: 3.116982e-01<br />n: 1.677716e-04<br />time: t = 2","w: 3.208231e-01<br />n: 1.756753e-04<br />time: t = 2","w: 3.302151e-01<br />n: 1.837747e-04<br />time: t = 2","w: 3.398821e-01<br />n: 1.920192e-04<br />time: t = 2","w: 3.498321e-01<br />n: 2.003556e-04<br />time: t = 2","w: 3.600733e-01<br />n: 2.087281e-04<br />time: t = 2","w: 3.706144e-01<br />n: 2.170794e-04<br />time: t = 2","w: 3.814641e-01<br />n: 2.253505e-04<br />time: t = 2","w: 3.926313e-01<br />n: 2.334814e-04<br />time: t = 2","w: 4.041255e-01<br />n: 2.414120e-04<br />time: t = 2","w: 4.159562e-01<br />n: 2.490819e-04<br />time: t = 2","w: 4.281332e-01<br />n: 2.564317e-04<br />time: t = 2","w: 4.406667e-01<br />n: 2.634031e-04<br />time: t = 2","w: 4.535672e-01<br />n: 2.699398e-04<br />time: t = 2","w: 4.668452e-01<br />n: 2.759880e-04<br />time: t = 2","w: 4.805120e-01<br />n: 2.814968e-04<br />time: t = 2","w: 4.945789e-01<br />n: 2.864190e-04<br />time: t = 2","w: 5.090576e-01<br />n: 2.907117e-04<br />time: t = 2","w: 5.239601e-01<br />n: 2.943363e-04<br />time: t = 2","w: 5.392989e-01<br />n: 2.972597e-04<br />time: t = 2","w: 5.550868e-01<br />n: 2.994539e-04<br />time: t = 2","w: 5.713368e-01<br />n: 3.008970e-04<br />time: t = 2","w: 5.880626e-01<br />n: 3.015730e-04<br />time: t = 2","w: 6.052780e-01<br />n: 3.014723e-04<br />time: t = 2","w: 6.229974e-01<br />n: 3.005915e-04<br />time: t = 2","w: 6.412355e-01<br />n: 2.989338e-04<br />time: t = 2","w: 6.600075e-01<br />n: 2.965085e-04<br />time: t = 2","w: 6.793291e-01<br />n: 2.933315e-04<br />time: t = 2","w: 6.992163e-01<br />n: 2.894242e-04<br />time: t = 2","w: 7.196857e-01<br />n: 2.848142e-04<br />time: t = 2","w: 7.407543e-01<br />n: 2.795343e-04<br />time: t = 2","w: 7.624397e-01<br />n: 2.736221e-04<br />time: t = 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5.508878e-09<br />time: t = 3","w: 4.749979e-03<br />n: 7.164696e-09<br />time: t = 3","w: 4.889034e-03<br />n: 9.269784e-09<br />time: t = 3","w: 5.032159e-03<br />n: 1.193270e-08<br />time: t = 3","w: 5.179475e-03<br />n: 1.528488e-08<br />time: t = 3","w: 5.331103e-03<br />n: 1.948470e-08<br />time: t = 3","w: 5.487169e-03<br />n: 2.472213e-08<br />time: t = 3","w: 5.647805e-03<br />n: 3.122393e-08<br />time: t = 3","w: 5.813143e-03<br />n: 3.925963e-08<br />time: t = 3","w: 5.983322e-03<br />n: 4.914806e-08<br />time: t = 3","w: 6.158482e-03<br />n: 6.126483e-08<br />time: t = 3","w: 6.338770e-03<br />n: 7.605043e-08<br />time: t = 3","w: 6.524336e-03<br />n: 9.401930e-08<br />time: t = 3","w: 6.715335e-03<br />n: 1.157696e-07<br />time: t = 3","w: 6.911925e-03<br />n: 1.419942e-07<br />time: t = 3","w: 7.114270e-03<br />n: 1.734918e-07<br />time: t = 3","w: 7.322538e-03<br />n: 2.111802e-07<br />time: t = 3","w: 7.536904e-03<br />n: 2.561086e-07<br />time: t = 3","w: 7.757545e-03<br />n: 3.094729e-07<br />time: t = 3","w: 7.984645e-03<br />n: 3.726297e-07<br />time: t = 3","w: 8.218394e-03<br />n: 4.471121e-07<br />time: t = 3","w: 8.458986e-03<br />n: 5.346458e-07<br />time: t = 3","w: 8.706621e-03<br />n: 6.371658e-07<br />time: t = 3","w: 8.961505e-03<br />n: 7.568326e-07<br />time: t = 3","w: 9.223851e-03<br />n: 8.960495e-07<br />time: t = 3","w: 9.493877e-03<br />n: 1.057479e-06<br />time: t = 3","w: 9.771808e-03<br />n: 1.244058e-06<br />time: t = 3","w: 1.005788e-02<br />n: 1.459015e-06<br />time: t = 3","w: 1.035232e-02<br />n: 1.705885e-06<br />time: t = 3","w: 1.065538e-02<br />n: 1.988518e-06<br />time: t = 3","w: 1.096731e-02<br />n: 2.311096e-06<br />time: t = 3","w: 1.128838e-02<br />n: 2.678138e-06<br />time: t = 3","w: 1.161884e-02<br />n: 3.094510e-06<br />time: t = 3","w: 1.195898e-02<br />n: 3.565427e-06<br />time: t = 3","w: 1.230908e-02<br />n: 4.096451e-06<br />time: t = 3","w: 1.266942e-02<br />n: 4.693491e-06<br />time: t = 3","w: 1.304032e-02<br />n: 5.362796e-06<br />time: t = 3","w: 1.342207e-02<br />n: 6.110936e-06<br />time: t = 3","w: 1.381500e-02<br />n: 6.944794e-06<br />time: t = 3","w: 1.421943e-02<br />n: 7.871534e-06<br />time: t = 3","w: 1.463570e-02<br />n: 8.898576e-06<br />time: t = 3","w: 1.506416e-02<br />n: 1.003356e-05<br />time: t = 3","w: 1.550516e-02<br />n: 1.128432e-05<br />time: t = 3","w: 1.595907e-02<br />n: 1.265879e-05<br />time: t = 3","w: 1.642627e-02<br />n: 1.416502e-05<br />time: t = 3","w: 1.690714e-02<br />n: 1.581105e-05<br />time: t = 3","w: 1.740209e-02<br />n: 1.760488e-05<br />time: t = 3","w: 1.791154e-02<br />n: 1.955437e-05<br />time: t = 3","w: 1.843589e-02<br />n: 2.166721e-05<br />time: t = 3","w: 1.897560e-02<br />n: 2.395077e-05<br />time: t = 3","w: 1.953111e-02<br />n: 2.641205e-05<br />time: t = 3","w: 2.010287e-02<br />n: 2.905759e-05<br />time: t = 3","w: 2.069138e-02<br />n: 3.189333e-05<br />time: t = 3","w: 2.129712e-02<br />n: 3.492455e-05<br />time: t = 3","w: 2.192058e-02<br />n: 3.815578e-05<br />time: t = 3","w: 2.256230e-02<br />n: 4.159062e-05<br />time: t = 3","w: 2.322281e-02<br />n: 4.523173e-05<br />time: t = 3","w: 2.390265e-02<br />n: 4.908068e-05<br />time: t = 3","w: 2.460240e-02<br />n: 5.313785e-05<br />time: t = 3","w: 2.532263e-02<br />n: 5.740235e-05<br />time: t = 3","w: 2.606394e-02<br />n: 6.187193e-05<br />time: t = 3","w: 2.682696e-02<br />n: 6.654291e-05<br />time: t = 3","w: 2.761231e-02<br />n: 7.141010e-05<br />time: t = 3","w: 2.842066e-02<br />n: 7.646673e-05<br />time: t = 3","w: 2.925266e-02<br />n: 8.170444e-05<br />time: t = 3","w: 3.010903e-02<br />n: 8.711318e-05<br />time: t = 3","w: 3.099046e-02<br />n: 9.268128e-05<br />time: t = 3","w: 3.189770e-02<br />n: 9.839535e-05<br />time: t = 3","w: 3.283150e-02<br />n: 1.042404e-04<br />time: t = 3","w: 3.379263e-02<br />n: 1.101997e-04<br />time: t = 3","w: 3.478191e-02<br />n: 1.162550e-04<br />time: t = 3","w: 3.580014e-02<br />n: 1.223867e-04<br />time: t = 3","w: 3.684818e-02<br />n: 1.285734e-04<br />time: t = 3","w: 3.792690e-02<br />n: 1.347926e-04<br />time: t = 3","w: 3.903720e-02<br />n: 1.410206e-04<br />time: t = 3","w: 4.018001e-02<br />n: 1.472327e-04<br />time: t = 3","w: 4.135627e-02<br />n: 1.534029e-04<br />time: t = 3","w: 4.256696e-02<br />n: 1.595049e-04<br />time: t = 3","w: 4.381310e-02<br />n: 1.655115e-04<br />time: t = 3","w: 4.509572e-02<br />n: 1.713955e-04<br />time: t = 3","w: 4.641589e-02<br />n: 1.771291e-04<br />time: t = 3","w: 4.777470e-02<br />n: 1.826849e-04<br />time: t = 3","w: 4.917330e-02<br />n: 1.880357e-04<br />time: t = 3","w: 5.061283e-02<br />n: 1.931546e-04<br />time: t = 3","w: 5.209451e-02<br />n: 1.980158e-04<br />time: t = 3","w: 5.361957e-02<br />n: 2.025942e-04<br />time: t = 3","w: 5.518927e-02<br />n: 2.068660e-04<br />time: t = 3","w: 5.680492e-02<br />n: 2.108088e-04<br />time: t = 3","w: 5.846787e-02<br />n: 2.144020e-04<br />time: t = 3","w: 6.017951e-02<br />n: 2.176267e-04<br />time: t = 3","w: 6.194125e-02<br />n: 2.204660e-04<br />time: t = 3","w: 6.375456e-02<br />n: 2.229053e-04<br />time: t = 3","w: 6.562096e-02<br />n: 2.249326e-04<br />time: t = 3","w: 6.754200e-02<br />n: 2.265380e-04<br />time: t = 3","w: 6.951928e-02<br />n: 2.277145e-04<br />time: t = 3","w: 7.155444e-02<br />n: 2.284581e-04<br />time: t = 3","w: 7.364918e-02<br />n: 2.287673e-04<br />time: t = 3","w: 7.580524e-02<br />n: 2.286436e-04<br />time: t = 3","w: 7.802442e-02<br />n: 2.280916e-04<br />time: t = 3","w: 8.030857e-02<br />n: 2.271188e-04<br />time: t = 3","w: 8.265959e-02<br />n: 2.257354e-04<br />time: t = 3","w: 8.507943e-02<br />n: 2.239549e-04<br />time: t = 3","w: 8.757011e-02<br />n: 2.217935e-04<br />time: t = 3","w: 9.013370e-02<br />n: 2.192702e-04<br />time: t = 3","w: 9.277235e-02<br />n: 2.164065e-04<br />time: t = 3","w: 9.548824e-02<br />n: 2.132268e-04<br />time: t = 3","w: 9.828363e-02<br />n: 2.097576e-04<br />time: t = 3","w: 1.011609e-01<br />n: 2.060279e-04<br />time: t = 3","w: 1.041223e-01<br />n: 2.020686e-04<br />time: t = 3","w: 1.071705e-01<br />n: 1.979126e-04<br />time: t = 3","w: 1.103079e-01<br />n: 1.935945e-04<br />time: t = 3","w: 1.135371e-01<br />n: 1.891502e-04<br />time: t = 3","w: 1.168609e-01<br />n: 1.846171e-04<br />time: t = 3","w: 1.202820e-01<br />n: 1.800334e-04<br />time: t = 3","w: 1.238032e-01<br />n: 1.754381e-04<br />time: t = 3","w: 1.274275e-01<br />n: 1.708710e-04<br />time: t = 3","w: 1.311579e-01<br />n: 1.663716e-04<br />time: t = 3","w: 1.349975e-01<br />n: 1.619800e-04<br />time: t = 3","w: 1.389495e-01<br />n: 1.577356e-04<br />time: t = 3","w: 1.430173e-01<br />n: 1.536776e-04<br />time: t = 3","w: 1.472041e-01<br />n: 1.498441e-04<br />time: t = 3","w: 1.515134e-01<br />n: 1.462724e-04<br />time: t = 3","w: 1.559490e-01<br />n: 1.429983e-04<br />time: t = 3","w: 1.605143e-01<br />n: 1.400561e-04<br />time: t = 3","w: 1.652133e-01<br />n: 1.374782e-04<br />time: t = 3","w: 1.700499e-01<br />n: 1.352949e-04<br />time: t = 3","w: 1.750281e-01<br />n: 1.335342e-04<br />time: t = 3","w: 1.801520e-01<br />n: 1.322214e-04<br />time: t = 3","w: 1.854259e-01<br />n: 1.313790e-04<br />time: t = 3","w: 1.908542e-01<br />n: 1.310262e-04<br />time: t = 3","w: 1.964414e-01<br />n: 1.311791e-04<br />time: t = 3","w: 2.021922e-01<br />n: 1.318501e-04<br />time: t = 3","w: 2.081113e-01<br />n: 1.330482e-04<br />time: t = 3","w: 2.142037e-01<br />n: 1.347780e-04<br />time: t = 3","w: 2.204745e-01<br />n: 1.370405e-04<br />time: t = 3","w: 2.269289e-01<br />n: 1.398322e-04<br />time: t = 3","w: 2.335721e-01<br />n: 1.431453e-04<br />time: t = 3","w: 2.404099e-01<br />n: 1.469679e-04<br />time: t = 3","w: 2.474479e-01<br />n: 1.512835e-04<br />time: t = 3","w: 2.546918e-01<br />n: 1.560712e-04<br />time: t = 3","w: 2.621479e-01<br />n: 1.613056e-04<br />time: t = 3","w: 2.698222e-01<br />n: 1.669573e-04<br />time: t = 3","w: 2.777212e-01<br />n: 1.729926e-04<br />time: t = 3","w: 2.858514e-01<br />n: 1.793736e-04<br />time: t = 3","w: 2.942197e-01<br />n: 1.860590e-04<br />time: t = 3","w: 3.028329e-01<br />n: 1.930037e-04<br />time: t = 3","w: 3.116982e-01<br />n: 2.001596e-04<br />time: t = 3","w: 3.208231e-01<br />n: 2.074758e-04<br />time: t = 3","w: 3.302151e-01<br />n: 2.148991e-04<br />time: t = 3","w: 3.398821e-01<br />n: 2.223741e-04<br />time: t = 3","w: 3.498321e-01<br />n: 2.298445e-04<br />time: t = 3","w: 3.600733e-01<br />n: 2.372528e-04<br />time: t = 3","w: 3.706144e-01<br />n: 2.445414e-04<br />time: t = 3","w: 3.814641e-01<br />n: 2.516532e-04<br />time: t = 3","w: 3.926313e-01<br />n: 2.585321e-04<br />time: t = 3","w: 4.041255e-01<br />n: 2.651236e-04<br />time: t = 3","w: 4.159562e-01<br />n: 2.713756e-04<br />time: t = 3","w: 4.281332e-01<br />n: 2.772392e-04<br />time: t = 3","w: 4.406667e-01<br />n: 2.826690e-04<br />time: t = 3","w: 4.535672e-01<br />n: 2.876239e-04<br />time: t = 3","w: 4.668452e-01<br />n: 2.920680e-04<br />time: t = 3","w: 4.805120e-01<br />n: 2.959704e-04<br />time: t = 3","w: 4.945789e-01<br />n: 2.993067e-04<br />time: t = 3","w: 5.090576e-01<br />n: 3.020586e-04<br />time: t = 3","w: 5.239601e-01<br />n: 3.042147e-04<br />time: t = 3","w: 5.392989e-01<br />n: 3.057708e-04<br />time: t = 3","w: 5.550868e-01<br />n: 3.067299e-04<br />time: t = 3","w: 5.713368e-01<br />n: 3.071026e-04<br />time: t = 3","w: 5.880626e-01<br />n: 3.069070e-04<br />time: t = 3","w: 6.052780e-01<br />n: 3.061685e-04<br />time: t = 3","w: 6.229974e-01<br />n: 3.049200e-04<br />time: t = 3","w: 6.412355e-01<br />n: 3.032012e-04<br />time: t = 3","w: 6.600075e-01<br />n: 3.010584e-04<br />time: t = 3","w: 6.793291e-01<br />n: 2.985443e-04<br />time: t = 3","w: 6.992163e-01<br />n: 2.957169e-04<br />time: t = 3","w: 7.196857e-01<br />n: 2.926392e-04<br />time: t = 3","w: 7.407543e-01<br />n: 2.893783e-04<br />time: t = 3","w: 7.624397e-01<br />n: 2.860046e-04<br />time: t = 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5.508878e-09<br />time: t = 4","w: 4.749979e-03<br />n: 7.164696e-09<br />time: t = 4","w: 4.889034e-03<br />n: 9.269784e-09<br />time: t = 4","w: 5.032159e-03<br />n: 1.193270e-08<br />time: t = 4","w: 5.179475e-03<br />n: 1.528488e-08<br />time: t = 4","w: 5.331103e-03<br />n: 1.948470e-08<br />time: t = 4","w: 5.487169e-03<br />n: 2.472213e-08<br />time: t = 4","w: 5.647805e-03<br />n: 3.122393e-08<br />time: t = 4","w: 5.813143e-03<br />n: 3.925963e-08<br />time: t = 4","w: 5.983322e-03<br />n: 4.914806e-08<br />time: t = 4","w: 6.158482e-03<br />n: 6.126483e-08<br />time: t = 4","w: 6.338770e-03<br />n: 7.605043e-08<br />time: t = 4","w: 6.524336e-03<br />n: 9.401930e-08<br />time: t = 4","w: 6.715335e-03<br />n: 1.157696e-07<br />time: t = 4","w: 6.911925e-03<br />n: 1.419942e-07<br />time: t = 4","w: 7.114270e-03<br />n: 1.734918e-07<br />time: t = 4","w: 7.322538e-03<br />n: 2.111802e-07<br />time: t = 4","w: 7.536904e-03<br />n: 2.561086e-07<br />time: t = 4","w: 7.757545e-03<br />n: 3.094729e-07<br />time: t = 4","w: 7.984645e-03<br />n: 3.726297e-07<br />time: t = 4","w: 8.218394e-03<br />n: 4.471121e-07<br />time: t = 4","w: 8.458986e-03<br />n: 5.346458e-07<br />time: t = 4","w: 8.706621e-03<br />n: 6.371658e-07<br />time: t = 4","w: 8.961505e-03<br />n: 7.568326e-07<br />time: t = 4","w: 9.223851e-03<br />n: 8.960495e-07<br />time: t = 4","w: 9.493877e-03<br />n: 1.057479e-06<br />time: t = 4","w: 9.771808e-03<br />n: 1.244058e-06<br />time: t = 4","w: 1.005788e-02<br />n: 1.459015e-06<br />time: t = 4","w: 1.035232e-02<br />n: 1.705885e-06<br />time: t = 4","w: 1.065538e-02<br />n: 1.988518e-06<br />time: t = 4","w: 1.096731e-02<br />n: 2.311096e-06<br />time: t = 4","w: 1.128838e-02<br />n: 2.678138e-06<br />time: t = 4","w: 1.161884e-02<br />n: 3.094510e-06<br />time: t = 4","w: 1.195898e-02<br />n: 3.565427e-06<br />time: t = 4","w: 1.230908e-02<br />n: 4.096451e-06<br />time: t = 4","w: 1.266942e-02<br />n: 4.693491e-06<br />time: t = 4","w: 1.304032e-02<br />n: 5.362795e-06<br />time: t = 4","w: 1.342207e-02<br />n: 6.110936e-06<br />time: t = 4","w: 1.381500e-02<br />n: 6.944794e-06<br />time: t = 4","w: 1.421943e-02<br />n: 7.871533e-06<br />time: t = 4","w: 1.463570e-02<br />n: 8.898576e-06<br />time: t = 4","w: 1.506416e-02<br />n: 1.003356e-05<br />time: t = 4","w: 1.550516e-02<br />n: 1.128432e-05<br />time: t = 4","w: 1.595907e-02<br />n: 1.265879e-05<br />time: t = 4","w: 1.642627e-02<br />n: 1.416502e-05<br />time: t = 4","w: 1.690714e-02<br />n: 1.581105e-05<br />time: t = 4","w: 1.740209e-02<br />n: 1.760487e-05<br />time: t = 4","w: 1.791154e-02<br />n: 1.955437e-05<br />time: t = 4","w: 1.843589e-02<br />n: 2.166721e-05<br />time: t = 4","w: 1.897560e-02<br />n: 2.395077e-05<br />time: t = 4","w: 1.953111e-02<br />n: 2.641205e-05<br />time: t = 4","w: 2.010287e-02<br />n: 2.905758e-05<br />time: t = 4","w: 2.069138e-02<br />n: 3.189331e-05<br />time: t = 4","w: 2.129712e-02<br />n: 3.492454e-05<br 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1.223847e-04<br />time: t = 4","w: 3.684818e-02<br />n: 1.285709e-04<br />time: t = 4","w: 3.792690e-02<br />n: 1.347895e-04<br />time: t = 4","w: 3.903720e-02<br />n: 1.410168e-04<br />time: t = 4","w: 4.018001e-02<br />n: 1.472278e-04<br />time: t = 4","w: 4.135627e-02<br />n: 1.533968e-04<br />time: t = 4","w: 4.256696e-02<br />n: 1.594973e-04<br />time: t = 4","w: 4.381310e-02<br />n: 1.655022e-04<br />time: t = 4","w: 4.509572e-02<br />n: 1.713839e-04<br />time: t = 4","w: 4.641589e-02<br />n: 1.771148e-04<br />time: t = 4","w: 4.777470e-02<br />n: 1.826673e-04<br />time: t = 4","w: 4.917330e-02<br />n: 1.880141e-04<br />time: t = 4","w: 5.061283e-02<br />n: 1.931282e-04<br />time: t = 4","w: 5.209451e-02<br />n: 1.979835e-04<br />time: t = 4","w: 5.361957e-02<br />n: 2.025549e-04<br />time: t = 4","w: 5.518927e-02<br />n: 2.068184e-04<br />time: t = 4","w: 5.680492e-02<br />n: 2.107512e-04<br />time: t = 4","w: 5.846787e-02<br />n: 2.143325e-04<br />time: t = 4","w: 6.017951e-02<br />n: 2.175431e-04<br />time: t = 4","w: 6.194125e-02<br />n: 2.203657e-04<br />time: t = 4","w: 6.375456e-02<br />n: 2.227854e-04<br />time: t = 4","w: 6.562096e-02<br />n: 2.247894e-04<br />time: t = 4","w: 6.754200e-02<br />n: 2.263677e-04<br />time: t = 4","w: 6.951928e-02<br />n: 2.275126e-04<br />time: t = 4","w: 7.155444e-02<br />n: 2.282192e-04<br />time: t = 4","w: 7.364918e-02<br />n: 2.284855e-04<br />time: t = 4","w: 7.580524e-02<br />n: 2.283122e-04<br />time: t = 4","w: 7.802442e-02<br />n: 2.277028e-04<br />time: t = 4","w: 8.030857e-02<br />n: 2.266639e-04<br />time: t = 4","w: 8.265959e-02<br />n: 2.252049e-04<br />time: t = 4","w: 8.507943e-02<br />n: 2.233378e-04<br />time: t = 4","w: 8.757011e-02<br />n: 2.210776e-04<br />time: t = 4","w: 9.013370e-02<br />n: 2.184421e-04<br />time: t = 4","w: 9.277235e-02<br />n: 2.154513e-04<br />time: t = 4","w: 9.548824e-02<br />n: 2.121280e-04<br />time: t = 4","w: 9.828363e-02<br />n: 2.084972e-04<br />time: t = 4","w: 1.011609e-01<br />n: 2.045862e-04<br />time: t = 4","w: 1.041223e-01<br />n: 2.004241e-04<br />time: t = 4","w: 1.071705e-01<br />n: 1.960422e-04<br />time: t = 4","w: 1.103079e-01<br />n: 1.914730e-04<br />time: t = 4","w: 1.135371e-01<br />n: 1.867508e-04<br />time: t = 4","w: 1.168609e-01<br />n: 1.819110e-04<br />time: t = 4","w: 1.202820e-01<br />n: 1.769902e-04<br />time: t = 4","w: 1.238032e-01<br />n: 1.720257e-04<br />time: t = 4","w: 1.274275e-01<br />n: 1.670553e-04<br />time: t = 4","w: 1.311579e-01<br />n: 1.621175e-04<br />time: t = 4","w: 1.349975e-01<br />n: 1.572508e-04<br />time: t = 4","w: 1.389495e-01<br />n: 1.524936e-04<br />time: t = 4","w: 1.430173e-01<br />n: 1.478842e-04<br />time: t = 4","w: 1.472041e-01<br />n: 1.434602e-04<br />time: t = 4","w: 1.515134e-01<br />n: 1.392586e-04<br />time: t = 4","w: 1.559490e-01<br />n: 1.353155e-04<br />time: t = 4","w: 1.605143e-01<br />n: 1.316659e-04<br />time: t = 4","w: 1.652133e-01<br />n: 1.283433e-04<br />time: t = 4","w: 1.700499e-01<br />n: 1.253797e-04<br />time: t = 4","w: 1.750281e-01<br />n: 1.228053e-04<br />time: t = 4","w: 1.801520e-01<br />n: 1.206482e-04<br />time: t = 4","w: 1.854259e-01<br />n: 1.189344e-04<br />time: t = 4","w: 1.908542e-01<br />n: 1.176875e-04<br />time: t = 4","w: 1.964414e-01<br />n: 1.169283e-04<br />time: t = 4","w: 2.021922e-01<br />n: 1.166749e-04<br />time: t = 4","w: 2.081113e-01<br />n: 1.169423e-04<br />time: t = 4","w: 2.142037e-01<br />n: 1.177423e-04<br />time: t = 4","w: 2.204745e-01<br />n: 1.190833e-04<br />time: t = 4","w: 2.269289e-01<br />n: 1.209700e-04<br />time: t = 4","w: 2.335721e-01<br />n: 1.234036e-04<br />time: t = 4","w: 2.404099e-01<br />n: 1.263812e-04<br />time: t = 4","w: 2.474479e-01<br />n: 1.298960e-04<br />time: t = 4","w: 2.546918e-01<br />n: 1.339373e-04<br />time: t = 4","w: 2.621479e-01<br />n: 1.384900e-04<br />time: t = 4","w: 2.698222e-01<br />n: 1.435351e-04<br />time: t = 4","w: 2.777212e-01<br />n: 1.490491e-04<br />time: t = 4","w: 2.858514e-01<br />n: 1.550048e-04<br />time: t = 4","w: 2.942197e-01<br />n: 1.613706e-04<br />time: t = 4","w: 3.028329e-01<br />n: 1.681112e-04<br />time: t = 4","w: 3.116982e-01<br />n: 1.751877e-04<br />time: t = 4","w: 3.208231e-01<br />n: 1.825575e-04<br />time: t = 4","w: 3.302151e-01<br />n: 1.901749e-04<br />time: t = 4","w: 3.398821e-01<br />n: 1.979915e-04<br />time: t = 4","w: 3.498321e-01<br />n: 2.059563e-04<br />time: t = 4","w: 3.600733e-01<br />n: 2.140162e-04<br />time: t = 4","w: 3.706144e-01<br />n: 2.221168e-04<br />time: t = 4","w: 3.814641e-01<br />n: 2.302025e-04<br />time: t = 4","w: 3.926313e-01<br />n: 2.382176e-04<br />time: t = 4","w: 4.041255e-01<br />n: 2.461063e-04<br />time: t = 4","w: 4.159562e-01<br />n: 2.538137e-04<br />time: t = 4","w: 4.281332e-01<br />n: 2.612866e-04<br />time: t = 4","w: 4.406667e-01<br />n: 2.684738e-04<br />time: t = 4","w: 4.535672e-01<br />n: 2.753271e-04<br />time: t = 4","w: 4.668452e-01<br />n: 2.818016e-04<br />time: t = 4","w: 4.805120e-01<br />n: 2.878568e-04<br />time: t = 4","w: 4.945789e-01<br />n: 2.934568e-04<br />time: t = 4","w: 5.090576e-01<br />n: 2.985714e-04<br />time: t = 4","w: 5.239601e-01<br />n: 3.031759e-04<br />time: t = 4","w: 5.392989e-01<br />n: 3.072521e-04<br />time: t = 4","w: 5.550868e-01<br />n: 3.107887e-04<br />time: t = 4","w: 5.713368e-01<br />n: 3.137811e-04<br />time: t = 4","w: 5.880626e-01<br />n: 3.162323e-04<br />time: t = 4","w: 6.052780e-01<br />n: 3.181524e-04<br />time: t = 4","w: 6.229974e-01<br />n: 3.195589e-04<br />time: t = 4","w: 6.412355e-01<br />n: 3.204765e-04<br />time: t = 4","w: 6.600075e-01<br />n: 3.209370e-04<br />time: t = 4","w: 6.793291e-01<br />n: 3.209787e-04<br />time: t = 4","w: 6.992163e-01<br />n: 3.206462e-04<br />time: t = 4","w: 7.196857e-01<br />n: 3.199896e-04<br />time: t = 4","w: 7.407543e-01<br />n: 3.190639e-04<br />time: t = 4","w: 7.624397e-01<br />n: 3.179283e-04<br />time: t = 4","w: 7.847600e-01<br />n: 3.166451e-04<br />time: t = 4","w: 8.077336e-01<br />n: 3.152792e-04<br />time: t = 4","w: 8.313799e-01<br />n: 3.138964e-04<br />time: t = 4","w: 8.557183e-01<br />n: 3.125630e-04<br />time: t = 4","w: 8.807693e-01<br />n: 3.113441e-04<br />time: t = 4","w: 9.065536e-01<br />n: 3.103030e-04<br />time: t = 4","w: 9.330927e-01<br />n: 3.094999e-04<br />time: t = 4","w: 9.604088e-01<br />n: 3.089906e-04<br />time: t = 4","w: 9.885246e-01<br />n: 3.088259e-04<br />time: t = 4","w: 1.017463e+00<br />n: 3.090504e-04<br />time: t = 4","w: 1.047249e+00<br />n: 3.097014e-04<br />time: t = 4","w: 1.077907e+00<br />n: 3.108085e-04<br />time: t = 4","w: 1.109463e+00<br />n: 3.123930e-04<br />time: t = 4","w: 1.141942e+00<br />n: 3.144672e-04<br />time: t = 4","w: 1.175372e+00<br />n: 3.170339e-04<br />time: t = 4","w: 1.209781e+00<br />n: 3.200868e-04<br />time: t = 4","w: 1.245197e+00<br />n: 3.236099e-04<br />time: t = 4","w: 1.281650e+00<br />n: 3.275784e-04<br 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2.809452e+01<br />n: 1.371402e-06<br />time: t = 4","w: 2.891698e+01<br />n: 9.007499e-07<br />time: t = 4","w: 2.976351e+01<br />n: 5.594396e-07<br />time: t = 4","w: 3.063483e+01<br />n: 3.278936e-07<br />time: t = 4","w: 3.153166e+01<br />n: 1.813094e-07<br />time: t = 4","w: 3.245474e+01<br />n: 9.468842e-08<br />time: t = 4","w: 3.340485e+01<br />n: 4.680091e-08<br />time: t = 4","w: 3.438277e+01<br />n: 2.194826e-08<br />time: t = 4","w: 3.538932e+01<br />n: 9.792581e-09<br />time: t = 4","w: 3.642533e+01<br />n: 4.167231e-09<br />time: t = 4","w: 3.749167e+01<br />n: 1.695198e-09<br />time: t = 4","w: 3.858923e+01<br />n: 6.604126e-10<br />time: t = 4","w: 3.971893e+01<br />n: 2.467458e-10<br />time: t = 4","w: 4.088169e+01<br />n: 8.850417e-11<br />time: t = 4","w: 4.207849e+01<br />n: 3.049520e-11<br />time: t = 4","w: 4.331033e+01<br />n: 1.009665e-11<br />time: t = 4","w: 4.457823e+01<br />n: 3.212112e-12<br />time: t = 4","w: 4.588325e+01<br />n: 9.816151e-13<br />time: t = 4","w: 4.722647e+01<br />n: 2.879984e-13<br />time: t = 4","w: 4.860901e+01<br />n: 8.105854e-14<br />time: t = 4","w: 5.003203e+01<br />n: 2.186430e-14<br />time: t = 4","w: 5.149671e+01<br />n: 5.645198e-15<br />time: t = 4","w: 5.300426e+01<br />n: 1.393216e-15<br />time: t = 4","w: 5.455595e+01<br />n: 3.281342e-16<br />time: t = 4","w: 5.615306e+01<br />n: 7.361744e-17<br />time: t = 4","w: 5.779693e+01<br />n: 1.570019e-17<br />time: t = 4","w: 5.948892e+01<br />n: 3.175483e-18<br />time: t = 4","w: 6.123045e+01<br />n: 6.075092e-19<br />time: t = 4","w: 6.302295e+01<br />n: 1.096090e-19<br />time: t = 4","w: 6.486794e+01<br />n: 1.858797e-20<br />time: t = 4","w: 6.676693e+01<br />n: 2.951569e-21<br />time: t = 4","w: 6.872152e+01<br />n: 4.369304e-22<br />time: t = 4","w: 7.073332e+01<br />n: 5.999603e-23<br />time: t = 4","w: 7.280402e+01<br />n: 7.596918e-24<br />time: t = 4","w: 7.493535e+01<br />n: 8.809656e-25<br />time: t = 4","w: 7.712906e+01<br />n: 9.279170e-26<br />time: t = 4","w: 7.938700e+01<br />n: 8.789164e-27<br />time: t = 4","w: 8.171103e+01<br />n: 7.394382e-28<br />time: t = 4","w: 8.410311e+01<br />n: 5.439438e-29<br />time: t = 4","w: 8.656520e+01<br />n: 3.427437e-30<br />time: t = 4","w: 8.909938e+01<br />n: 1.798593e-31<br />time: t = 4","w: 9.170775e+01<br />n: 7.546301e-33<br />time: t = 4","w: 9.439247e+01<br />n: 2.373359e-34<br />time: t = 4","w: 9.715579e+01<br />n: 4.973810e-36<br />time: t = 4","w: 1.000000e+02<br />n: 5.209642e-38<br />time: t = 4"],"type":"scatter","mode":"lines","line":{"width":3.0236220472440949,"color":"rgba(245,100,227,1)","dash":"solid"},"hoveron":"points","name":"t = 4","legendgroup":"t = 4","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","frame":null}],"layout":{"margin":{"t":47.61477791614778,"r":9.2984640929846432,"b":47.422166874221681,"l":69.738480697384816},"paper_bgcolor":"rgba(255,255,255,1)","font":{"color":"rgba(0,0,0,1)","family":"","size":18.596928185969286},"title":{"text":"Cohort evolution without diffusion","font":{"color":"rgba(0,0,0,1)","family":"","size":22.316313823163139},"x":0,"xref":"paper"},"xaxis":{"domain":[0,1],"automargin":true,"type":"linear","autorange":false,"range":[-3.25,2.25],"tickmode":"array","ticktext":["1e-02","1e+00","1e+02"],"tickvals":[-2,0,2],"categoryorder":"array","categoryarray":["1e-02","1e+00","1e+02"],"nticks":null,"ticks":"","tickcolor":null,"ticklen":4.6492320464923216,"tickwidth":0,"showticklabels":true,"tickfont":{"color":"rgba(77,77,77,1)","family":"","size":14.87754254877543},"tickangle":-0,"showline":false,"linecolor":null,"linewidth":0,"showgrid":true,"gridcolor":"rgba(235,235,235,1)","gridwidth":0.8453149175440583,"zeroline":false,"anchor":"y","title":{"text":"Weight [g]","font":{"color":"rgba(0,0,0,1)","family":"","size":18.596928185969286}},"hoverformat":".2f"},"yaxis":{"domain":[0,1],"automargin":true,"type":"linear","autorange":false,"range":[-2.3597581436400814e-05,0.00049554921016441709],"tickmode":"array","ticktext":["0e+00","1e-04","2e-04","3e-04","4e-04"],"tickvals":[-3.3881317890172014e-21,0.0001,0.00020000000000000004,0.00030000000000000003,0.00040000000000000007],"categoryorder":"array","categoryarray":["0e+00","1e-04","2e-04","3e-04","4e-04"],"nticks":null,"ticks":"","tickcolor":null,"ticklen":4.6492320464923216,"tickwidth":0,"showticklabels":true,"tickfont":{"color":"rgba(77,77,77,1)","family":"","size":14.877542548775427},"tickangle":-0,"showline":false,"linecolor":null,"linewidth":0,"showgrid":true,"gridcolor":"rgba(235,235,235,1)","gridwidth":0.8453149175440583,"zeroline":false,"anchor":"x","title":{"text":"Biomass density [g]","font":{"color":"rgba(0,0,0,1)","family":"","size":18.596928185969286}},"hoverformat":".2f"},"shapes":[],"showlegend":true,"legend":{"bgcolor":null,"bordercolor":null,"borderwidth":0,"font":{"color":"rgba(0,0,0,1)","family":"","size":14.87754254877543},"title":{"text":"Time","font":{"color":"rgba(0,0,0,1)","family":"","size":18.596928185969286}}},"hovermode":"closest","barmode":"relative"},"config":{"doubleClick":"reset","modeBarButtonsToAdd":["hoverclosest","hovercompare"],"showSendToCloud":false},"source":"A","attrs":{"26088142f84aa":{"x":{},"y":{},"colour":{},"type":"scatter"}},"cur_data":"26088142f84aa","visdat":{"26088142f84aa":["function (y) ","x"]},"highlight":{"on":"plotly_click","persistent":false,"dynamic":false,"selectize":false,"opacityDim":0.20000000000000001,"selected":{"opacity":1},"debounce":0},"shinyEvents":["plotly_hover","plotly_click","plotly_selected","plotly_relayout","plotly_brushed","plotly_brushing","plotly_clickannotation","plotly_doubleclick","plotly_deselect","plotly_afterplot","plotly_sunburstclick"],"base_url":"https://plot.ly"},"evals":[],"jsHooks":[]}</script><p>Without diffusion, each cohort appears as a relatively sharp peak
+that moves to the right (towards larger sizes) as the fish grow.</p>
+</div>
+<div class="section level2">
+<h2 id="adding-diffusion">Adding diffusion<a class="anchor" aria-label="anchor" href="#adding-diffusion"></a>
+</h2>
+<p>Now let’s add diffusion to the model. Diffusion is set as an array
+with dimensions species × size via <code><a href="../reference/setExtDiffusion.html">setExtDiffusion()</a></code>. We’ll
+set a constant diffusion rate across all sizes.</p>
+<p>We define a helper function that runs the simulation for a given
+diffusion coefficient:</p>
+<div class="sourceCode" id="cb9"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">run_with_diffusion</span> <span class="op">&lt;-</span> <span class="kw">function</span><span class="op">(</span><span class="va">params_base</span>, <span class="va">diff_coeff</span>, <span class="va">diff_exp</span>, <span class="va">t_max</span> <span class="op">=</span> <span class="fl">5</span><span class="op">)</span> <span class="op">{</span></span>
+<span>    <span class="va">p</span> <span class="op">&lt;-</span> <span class="va">params_base</span></span>
+<span>    <span class="va">d</span> <span class="op">&lt;-</span> <span class="va">p</span><span class="op">@</span><span class="va">ext_diffusion</span></span>
+<span>    <span class="va">d</span><span class="op">[</span><span class="op">]</span> <span class="op">&lt;-</span> <span class="va">diff_coeff</span> <span class="op">*</span> <span class="va">w</span> <span class="op">^</span> <span class="va">diff_exp</span></span>
+<span>    <span class="va">p</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/setExtDiffusion.html">setExtDiffusion</a></span><span class="op">(</span><span class="va">p</span>, ext_diffusion <span class="op">=</span> <span class="va">d</span><span class="op">)</span></span>
+<span>    <span class="fu"><a href="../reference/initialN-set.html">initialN</a></span><span class="op">(</span><span class="va">p</span><span class="op">)</span><span class="op">[</span><span class="op">]</span> <span class="op">&lt;-</span> <span class="fl">0</span></span>
+<span>    <span class="va">sim</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/project.html">project</a></span><span class="op">(</span><span class="va">p</span>, t_max <span class="op">=</span> <span class="va">t_max</span>, dt <span class="op">=</span> <span class="fl">0.05</span>,</span>
+<span>                   t_save <span class="op">=</span> <span class="fl">0.1</span>, progress_bar <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span></span>
+<span>    <span class="kw"><a href="https://rdrr.io/r/base/function.html" class="external-link">return</a></span><span class="op">(</span><span class="va">sim</span><span class="op">)</span></span>
+<span><span class="op">}</span></span></code></pre></div>
+</div>
+<div class="section level2">
+<h2 id="comparing-different-diffusion-rates">Comparing different diffusion rates<a class="anchor" aria-label="anchor" href="#comparing-different-diffusion-rates"></a>
+</h2>
+<p>Let’s compare simulations with no diffusion, low diffusion, and high
+diffusion:</p>
+<div class="sourceCode" id="cb10"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">diff_exp</span> <span class="op">&lt;-</span> <span class="va">params_pulse</span><span class="op">@</span><span class="va">species_params</span><span class="op">$</span><span class="va">n</span> <span class="op">+</span> <span class="fl">1</span></span>
+<span><span class="va">sim_d0</span> <span class="op">&lt;-</span> <span class="fu">run_with_diffusion</span><span class="op">(</span><span class="va">params_pulse</span>, diff_coeff <span class="op">=</span> <span class="fl">0</span>, diff_exp <span class="op">=</span> <span class="va">diff_exp</span><span class="op">)</span></span>
+<span><span class="va">sim_d_low</span> <span class="op">&lt;-</span> <span class="fu">run_with_diffusion</span><span class="op">(</span><span class="va">params_pulse</span>, diff_coeff <span class="op">=</span> <span class="fl">0.1</span>, diff_exp <span class="op">=</span> <span class="va">diff_exp</span><span class="op">)</span></span>
+<span><span class="va">sim_d_high</span> <span class="op">&lt;-</span> <span class="fu">run_with_diffusion</span><span class="op">(</span><span class="va">params_pulse</span>, diff_coeff <span class="op">=</span> <span class="fl">0.5</span>, diff_exp <span class="op">=</span> <span class="va">diff_exp</span><span class="op">)</span></span></code></pre></div>
+<p>Now let’s visualise the cohorts at a specific time point to see how
+diffusion affects their shape:</p>
+<div class="sourceCode" id="cb11"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">snapshot_time</span> <span class="op">&lt;-</span> <span class="fl">3</span></span>
+<span></span>
+<span><span class="va">build_snapshot</span> <span class="op">&lt;-</span> <span class="kw">function</span><span class="op">(</span><span class="va">sim</span>, <span class="va">label</span><span class="op">)</span> <span class="op">{</span></span>
+<span>    <span class="va">idx</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/which.min.html" class="external-link">which.min</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/MathFun.html" class="external-link">abs</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/numeric.html" class="external-link">as.numeric</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/dimnames.html" class="external-link">dimnames</a></span><span class="op">(</span><span class="va">sim</span><span class="op">@</span><span class="va">n</span><span class="op">)</span><span class="op">$</span><span class="va">time</span><span class="op">)</span> <span class="op">-</span> <span class="va">snapshot_time</span><span class="op">)</span><span class="op">)</span></span>
+<span>    <span class="va">n_at_t</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/numeric.html" class="external-link">as.numeric</a></span><span class="op">(</span><span class="va">sim</span><span class="op">@</span><span class="va">n</span><span class="op">[</span><span class="va">idx</span>, <span class="fl">1</span>, <span class="op">]</span><span class="op">)</span></span>
+<span>    <span class="va">w</span> <span class="op">&lt;-</span> <span class="va">sim</span><span class="op">@</span><span class="va">params</span><span class="op">@</span><span class="va">w</span></span>
+<span>    <span class="va">pos</span> <span class="op">&lt;-</span> <span class="va">n_at_t</span> <span class="op">&gt;</span> <span class="fl">0</span></span>
+<span>    <span class="kw">if</span> <span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/any.html" class="external-link">any</a></span><span class="op">(</span><span class="va">pos</span><span class="op">)</span><span class="op">)</span> <span class="op">{</span></span>
+<span>        <span class="fu"><a href="https://rdrr.io/r/base/data.frame.html" class="external-link">data.frame</a></span><span class="op">(</span>w <span class="op">=</span> <span class="va">w</span><span class="op">[</span><span class="va">pos</span><span class="op">]</span>, n <span class="op">=</span> <span class="va">n_at_t</span><span class="op">[</span><span class="va">pos</span><span class="op">]</span>, diffusion <span class="op">=</span> <span class="va">label</span><span class="op">)</span></span>
+<span>    <span class="op">}</span> <span class="kw">else</span> <span class="op">{</span></span>
+<span>        <span class="fu"><a href="https://rdrr.io/r/base/data.frame.html" class="external-link">data.frame</a></span><span class="op">(</span>w <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/numeric.html" class="external-link">numeric</a></span><span class="op">(</span><span class="fl">0</span><span class="op">)</span>, n <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/numeric.html" class="external-link">numeric</a></span><span class="op">(</span><span class="fl">0</span><span class="op">)</span>, diffusion <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/character.html" class="external-link">character</a></span><span class="op">(</span><span class="fl">0</span><span class="op">)</span><span class="op">)</span></span>
+<span>    <span class="op">}</span></span>
+<span><span class="op">}</span></span>
+<span></span>
+<span><span class="va">snapshot_data</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/cbind.html" class="external-link">rbind</a></span><span class="op">(</span></span>
+<span>    <span class="fu">build_snapshot</span><span class="op">(</span><span class="va">sim_d0</span>, <span class="st">"D = 0 (no diffusion)"</span><span class="op">)</span>,</span>
+<span>    <span class="fu">build_snapshot</span><span class="op">(</span><span class="va">sim_d_low</span>, <span class="st">"D = 0.1 (low)"</span><span class="op">)</span>,</span>
+<span>    <span class="fu">build_snapshot</span><span class="op">(</span><span class="va">sim_d_high</span>, <span class="st">"D = 0.5 (high)"</span><span class="op">)</span></span>
+<span><span class="op">)</span></span>
+<span></span>
+<span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/ggplot.html" class="external-link">ggplot</a></span><span class="op">(</span><span class="va">snapshot_data</span>, <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/aes.html" class="external-link">aes</a></span><span class="op">(</span>x <span class="op">=</span> <span class="va">w</span>, y <span class="op">=</span> <span class="va">n</span> <span class="op">*</span> <span class="va">w</span><span class="op">^</span><span class="fl">2</span>, colour <span class="op">=</span> <span class="va">diffusion</span><span class="op">)</span><span class="op">)</span> <span class="op">+</span></span>
+<span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/geom_path.html" class="external-link">geom_line</a></span><span class="op">(</span>linewidth <span class="op">=</span> <span class="fl">0.8</span><span class="op">)</span> <span class="op">+</span></span>
+<span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/scale_continuous.html" class="external-link">scale_x_log10</a></span><span class="op">(</span>limits <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">1e-3</span>, <span class="fl">100</span><span class="op">)</span><span class="op">)</span> <span class="op">+</span></span>
+<span>    <span class="co"># scale_y_log10() +</span></span>
+<span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/labs.html" class="external-link">labs</a></span><span class="op">(</span>x <span class="op">=</span> <span class="st">"Weight [g]"</span>, y <span class="op">=</span> <span class="st">"Biomass density [g]"</span>,</span>
+<span>         title <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/paste.html" class="external-link">paste0</a></span><span class="op">(</span><span class="st">"Effect of diffusion on cohorts at t = "</span>,</span>
+<span>                        <span class="va">snapshot_time</span><span class="op">)</span>,</span>
+<span>         colour <span class="op">=</span> <span class="st">"Diffusion rate"</span><span class="op">)</span> <span class="op">+</span></span>
+<span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/ggtheme.html" class="external-link">theme_minimal</a></span><span class="op">(</span>base_size <span class="op">=</span> <span class="fl">14</span><span class="op">)</span></span></code></pre></div>
+<p><img src="cohort_dynamics_and_diffusion_files/figure-html/unnamed-chunk-10-1.png" class="r-plt" alt="" width="864"></p>
+<p>We can see that diffusion has a large effect on the speed at which
+the cohort peaks are moving but not so much effect on the broadening of
+the peaks.</p>
+</div>
+<div class="section level2">
+<h2 id="time-evolution-with-diffusion">Time evolution with diffusion<a class="anchor" aria-label="anchor" href="#time-evolution-with-diffusion"></a>
+</h2>
+<p>Let’s look at the full time evolution of the size spectrum with
+moderate diffusion to see how cohorts spread over time:</p>
+<div class="sourceCode" id="cb12"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">diff_exp</span> <span class="op">&lt;-</span> <span class="va">params_pulse</span><span class="op">@</span><span class="va">species_params</span><span class="op">$</span><span class="va">n</span> <span class="op">+</span> <span class="fl">1</span></span>
+<span><span class="va">sim_d_med</span> <span class="op">&lt;-</span> <span class="fu">run_with_diffusion</span><span class="op">(</span><span class="va">params_pulse</span>, diff_coeff <span class="op">=</span> <span class="fl">0.05</span>, diff_exp <span class="op">=</span> <span class="va">diff_exp</span><span class="op">)</span></span>
+<span></span>
+<span><span class="va">times_to_plot</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">0.5</span>, <span class="fl">1</span>, <span class="fl">2</span>, <span class="fl">3</span>, <span class="fl">4</span>, <span class="fl">5</span><span class="op">)</span></span>
+<span></span>
+<span><span class="va">plot_list_diff</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="op">)</span></span>
+<span><span class="kw">for</span> <span class="op">(</span><span class="va">tt</span> <span class="kw">in</span> <span class="va">times_to_plot</span><span class="op">)</span> <span class="op">{</span></span>
+<span>    <span class="va">idx</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/which.min.html" class="external-link">which.min</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/MathFun.html" class="external-link">abs</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/numeric.html" class="external-link">as.numeric</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/dimnames.html" class="external-link">dimnames</a></span><span class="op">(</span><span class="va">sim_d_med</span><span class="op">@</span><span class="va">n</span><span class="op">)</span><span class="op">$</span><span class="va">time</span><span class="op">)</span> <span class="op">-</span> <span class="va">tt</span><span class="op">)</span><span class="op">)</span></span>
+<span>    <span class="va">actual_time</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/numeric.html" class="external-link">as.numeric</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/dimnames.html" class="external-link">dimnames</a></span><span class="op">(</span><span class="va">sim_d_med</span><span class="op">@</span><span class="va">n</span><span class="op">)</span><span class="op">$</span><span class="va">time</span><span class="op">[</span><span class="va">idx</span><span class="op">]</span><span class="op">)</span></span>
+<span>    <span class="va">n_at_t</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/numeric.html" class="external-link">as.numeric</a></span><span class="op">(</span><span class="va">sim_d_med</span><span class="op">@</span><span class="va">n</span><span class="op">[</span><span class="va">idx</span>, <span class="fl">1</span>, <span class="op">]</span><span class="op">)</span></span>
+<span>    <span class="va">pos</span> <span class="op">&lt;-</span> <span class="va">n_at_t</span> <span class="op">&gt;</span> <span class="fl">0</span></span>
+<span>    <span class="kw">if</span> <span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/any.html" class="external-link">any</a></span><span class="op">(</span><span class="va">pos</span><span class="op">)</span><span class="op">)</span> <span class="op">{</span></span>
+<span>        <span class="va">plot_list_diff</span><span class="op">[[</span><span class="fu"><a href="https://rdrr.io/r/base/length.html" class="external-link">length</a></span><span class="op">(</span><span class="va">plot_list_diff</span><span class="op">)</span> <span class="op">+</span> <span class="fl">1</span><span class="op">]</span><span class="op">]</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/data.frame.html" class="external-link">data.frame</a></span><span class="op">(</span></span>
+<span>            w <span class="op">=</span> <span class="va">w</span><span class="op">[</span><span class="va">pos</span><span class="op">]</span>, n <span class="op">=</span> <span class="va">n_at_t</span><span class="op">[</span><span class="va">pos</span><span class="op">]</span> <span class="op">*</span> <span class="va">w</span><span class="op">[</span><span class="va">pos</span><span class="op">]</span><span class="op">^</span><span class="fl">2</span>,</span>
+<span>            time <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/factor.html" class="external-link">factor</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/paste.html" class="external-link">paste0</a></span><span class="op">(</span><span class="st">"t = "</span>, <span class="va">actual_time</span><span class="op">)</span><span class="op">)</span></span>
+<span>        <span class="op">)</span></span>
+<span>    <span class="op">}</span></span>
+<span><span class="op">}</span></span>
+<span><span class="va">plot_data_diff</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/do.call.html" class="external-link">do.call</a></span><span class="op">(</span><span class="va">rbind</span>, <span class="va">plot_list_diff</span><span class="op">)</span></span>
+<span></span>
+<span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/ggplot.html" class="external-link">ggplot</a></span><span class="op">(</span><span class="va">plot_data_diff</span>, <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/aes.html" class="external-link">aes</a></span><span class="op">(</span>x <span class="op">=</span> <span class="va">w</span>, y <span class="op">=</span> <span class="va">n</span>, colour <span class="op">=</span> <span class="va">time</span><span class="op">)</span><span class="op">)</span> <span class="op">+</span></span>
+<span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/geom_path.html" class="external-link">geom_line</a></span><span class="op">(</span>linewidth <span class="op">=</span> <span class="fl">0.8</span><span class="op">)</span> <span class="op">+</span></span>
+<span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/scale_continuous.html" class="external-link">scale_x_log10</a></span><span class="op">(</span>limits <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">1e-3</span>, <span class="fl">100</span><span class="op">)</span><span class="op">)</span> <span class="op">+</span></span>
+<span>    <span class="co"># scale_y_log10() +</span></span>
+<span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/labs.html" class="external-link">labs</a></span><span class="op">(</span>x <span class="op">=</span> <span class="st">"Weight [g]"</span>, y <span class="op">=</span> <span class="st">"Number density [1/g]"</span>,</span>
+<span>         title <span class="op">=</span> <span class="st">"Cohort evolution with moderate diffusion (D = 0.05)"</span>,</span>
+<span>         colour <span class="op">=</span> <span class="st">"Time"</span><span class="op">)</span> <span class="op">+</span></span>
+<span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/ggtheme.html" class="external-link">theme_minimal</a></span><span class="op">(</span>base_size <span class="op">=</span> <span class="fl">14</span><span class="op">)</span></span></code></pre></div>
+<p><img src="cohort_dynamics_and_diffusion_files/figure-html/unnamed-chunk-11-1.png" class="r-plt" alt="" width="700"></p>
+<p>As time progresses, we see that:</p>
+<ol style="list-style-type: decimal">
+<li>New cohorts enter at the egg size each year.</li>
+<li>Each cohort grows towards larger sizes.</li>
+<li>The diffusion causes each cohort to spread out more and more as it
+ages.</li>
+<li>Eventually, older cohorts merge together as their spreading
+overwhelms the year-to-year separation.</li>
+</ol>
+</div>
+<div class="section level2">
+<h2 id="heatmap-visualisation">Heatmap visualisation<a class="anchor" aria-label="anchor" href="#heatmap-visualisation"></a>
+</h2>
+<p>A heatmap provides a compact view of the entire dynamics, showing how
+the size spectrum evolves continuously over time:</p>
+<div class="sourceCode" id="cb13"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">all_times</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/numeric.html" class="external-link">as.numeric</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/dimnames.html" class="external-link">dimnames</a></span><span class="op">(</span><span class="va">sim_d_med</span><span class="op">@</span><span class="va">n</span><span class="op">)</span><span class="op">$</span><span class="va">time</span><span class="op">)</span></span>
+<span></span>
+<span><span class="va">heatmap_list</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="op">)</span></span>
+<span><span class="kw">for</span> <span class="op">(</span><span class="va">i</span> <span class="kw">in</span> <span class="fu"><a href="https://rdrr.io/r/base/seq.html" class="external-link">seq_along</a></span><span class="op">(</span><span class="va">all_times</span><span class="op">)</span><span class="op">)</span> <span class="op">{</span></span>
+<span>    <span class="va">n_at_t</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/numeric.html" class="external-link">as.numeric</a></span><span class="op">(</span><span class="va">sim_d_med</span><span class="op">@</span><span class="va">n</span><span class="op">[</span><span class="va">i</span>, <span class="fl">1</span>, <span class="op">]</span><span class="op">)</span></span>
+<span>    <span class="va">pos</span> <span class="op">&lt;-</span> <span class="va">n_at_t</span> <span class="op">&gt;</span> <span class="fl">0</span></span>
+<span>    <span class="kw">if</span> <span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/any.html" class="external-link">any</a></span><span class="op">(</span><span class="va">pos</span><span class="op">)</span><span class="op">)</span> <span class="op">{</span></span>
+<span>        <span class="va">heatmap_list</span><span class="op">[[</span><span class="fu"><a href="https://rdrr.io/r/base/length.html" class="external-link">length</a></span><span class="op">(</span><span class="va">heatmap_list</span><span class="op">)</span> <span class="op">+</span> <span class="fl">1</span><span class="op">]</span><span class="op">]</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/data.frame.html" class="external-link">data.frame</a></span><span class="op">(</span></span>
+<span>            time <span class="op">=</span> <span class="va">all_times</span><span class="op">[</span><span class="va">i</span><span class="op">]</span>,</span>
+<span>            w <span class="op">=</span> <span class="va">w</span><span class="op">[</span><span class="va">pos</span><span class="op">]</span>,</span>
+<span>            log_n <span class="op">=</span> <span class="va">n_at_t</span><span class="op">[</span><span class="va">pos</span><span class="op">]</span> <span class="op">*</span> <span class="va">w</span><span class="op">[</span><span class="va">pos</span><span class="op">]</span><span class="op">^</span><span class="fl">2</span></span>
+<span>        <span class="op">)</span></span>
+<span>    <span class="op">}</span></span>
+<span><span class="op">}</span></span>
+<span><span class="va">heatmap_data</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/do.call.html" class="external-link">do.call</a></span><span class="op">(</span><span class="va">rbind</span>, <span class="va">heatmap_list</span><span class="op">)</span></span>
+<span></span>
+<span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/ggplot.html" class="external-link">ggplot</a></span><span class="op">(</span><span class="va">heatmap_data</span>, <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/aes.html" class="external-link">aes</a></span><span class="op">(</span>x <span class="op">=</span> <span class="va">time</span>, y <span class="op">=</span> <span class="va">w</span>, fill <span class="op">=</span> <span class="va">log_n</span><span class="op">)</span><span class="op">)</span> <span class="op">+</span></span>
+<span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/geom_tile.html" class="external-link">geom_raster</a></span><span class="op">(</span>interpolate <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span> <span class="op">+</span></span>
+<span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/scale_continuous.html" class="external-link">scale_y_log10</a></span><span class="op">(</span><span class="op">)</span> <span class="op">+</span></span>
+<span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/scale_viridis.html" class="external-link">scale_fill_viridis_c</a></span><span class="op">(</span>name <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/expression.html" class="external-link">expression</a></span><span class="op">(</span><span class="va">log</span><span class="op">[</span><span class="fl">10</span><span class="op">]</span><span class="op">(</span><span class="va">N</span><span class="op">)</span><span class="op">)</span><span class="op">)</span> <span class="op">+</span></span>
+<span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/labs.html" class="external-link">labs</a></span><span class="op">(</span>x <span class="op">=</span> <span class="st">"Time [years]"</span>, y <span class="op">=</span> <span class="st">"Weight [g]"</span>,</span>
+<span>         title <span class="op">=</span> <span class="st">"Size spectrum over time (D = 0.05)"</span><span class="op">)</span> <span class="op">+</span></span>
+<span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/ggtheme.html" class="external-link">theme_minimal</a></span><span class="op">(</span>base_size <span class="op">=</span> <span class="fl">14</span><span class="op">)</span></span></code></pre></div>
+<p><img src="cohort_dynamics_and_diffusion_files/figure-html/unnamed-chunk-12-1.png" class="r-plt" alt="" width="864"></p>
+<p>In the heatmap, the diagonal bands represent individual cohorts
+growing through the size spectrum. The broadening of these bands with
+time is the effect of diffusion.</p>
+</div>
+<div class="section level2">
+<h2 id="summary">Summary<a class="anchor" aria-label="anchor" href="#summary"></a>
+</h2>
+<p>This vignette demonstrated:</p>
+<ol style="list-style-type: decimal">
+<li>How to set up a single-species model with
+<code><a href="../reference/newSingleSpeciesParams.html">newSingleSpeciesParams()</a></code>.</li>
+<li>How to implement pulsed annual reproduction using a custom RDD
+function.</li>
+<li>How cohorts of fish grow through the size spectrum over time.</li>
+<li>How diffusion, set via <code><a href="../reference/setExtDiffusion.html">setExtDiffusion()</a></code>, controls the
+spreading of cohorts — representing individual variability in growth
+rates.</li>
+</ol>
+</div>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside>
+</div>
+
+
+
+    <footer><div class="pkgdown-footer-left">
+  <p>Developed by <a href="https://www.york.ac.uk/maths/staff/gustav-delius/" class="external-link">Gustav Delius</a>, Finlay Scott, <a href="http://www.utas.edu.au/profiles/staff/imas/julia-blanchard" class="external-link">Julia Blanchard</a>, <a href="https://ken.haste.dk/" class="external-link">Ken Andersen</a>.</p>
+</div>
+
+<div class="pkgdown-footer-right">
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
+</div>
+
+    </footer>
+</div>
+
+
+
+
+
+  </body>
+</html>
diff --git a/docs/articles/cohort_dynamics_and_diffusion_files/crosstalk-1.2.2/css/crosstalk.min.css b/docs/articles/cohort_dynamics_and_diffusion_files/crosstalk-1.2.2/css/crosstalk.min.css
new file mode 100644
index 000000000..6b4538284
--- /dev/null
+++ b/docs/articles/cohort_dynamics_and_diffusion_files/crosstalk-1.2.2/css/crosstalk.min.css
@@ -0,0 +1 @@
+.container-fluid.crosstalk-bscols{margin-left:-30px;margin-right:-30px;white-space:normal}body>.container-fluid.crosstalk-bscols{margin-left:auto;margin-right:auto}.crosstalk-input-checkboxgroup .crosstalk-options-group .crosstalk-options-column{display:inline-block;padding-right:12px;vertical-align:top}@media only screen and (max-width: 480px){.crosstalk-input-checkboxgroup .crosstalk-options-group .crosstalk-options-column{display:block;padding-right:inherit}}.crosstalk-input{margin-bottom:15px}.crosstalk-input .control-label{margin-bottom:0;vertical-align:middle}.crosstalk-input input[type="checkbox"]{margin:4px 0 0;margin-top:1px;line-height:normal}.crosstalk-input .checkbox{position:relative;display:block;margin-top:10px;margin-bottom:10px}.crosstalk-input .checkbox>label{padding-left:20px;margin-bottom:0;font-weight:400;cursor:pointer}.crosstalk-input .checkbox input[type="checkbox"],.crosstalk-input .checkbox-inline input[type="checkbox"]{position:absolute;margin-top:2px;margin-left:-20px}.crosstalk-input .checkbox+.checkbox{margin-top:-5px}.crosstalk-input .checkbox-inline{position:relative;display:inline-block;padding-left:20px;margin-bottom:0;font-weight:400;vertical-align:middle;cursor:pointer}.crosstalk-input .checkbox-inline+.checkbox-inline{margin-top:0;margin-left:10px}
diff --git a/docs/articles/cohort_dynamics_and_diffusion_files/crosstalk-1.2.2/js/crosstalk.js b/docs/articles/cohort_dynamics_and_diffusion_files/crosstalk-1.2.2/js/crosstalk.js
new file mode 100644
index 000000000..fd9eb53d2
--- /dev/null
+++ b/docs/articles/cohort_dynamics_and_diffusion_files/crosstalk-1.2.2/js/crosstalk.js
@@ -0,0 +1,1474 @@
+(function(){function e(t,n,r){function s(o,u){if(!n[o]){if(!t[o]){var a=typeof require=="function"&&require;if(!u&&a)return a(o,!0);if(i)return i(o,!0);var f=new Error("Cannot find module '"+o+"'");throw f.code="MODULE_NOT_FOUND",f}var l=n[o]={exports:{}};t[o][0].call(l.exports,function(e){var n=t[o][1][e];return s(n?n:e)},l,l.exports,e,t,n,r)}return n[o].exports}var i=typeof require=="function"&&require;for(var o=0;o<r.length;o++)s(r[o]);return s}return e})()({1:[function(require,module,exports){
+"use strict";
+
+Object.defineProperty(exports, "__esModule", {
+  value: true
+});
+
+var _createClass = function () { function defineProperties(target, props) { for (var i = 0; i < props.length; i++) { var descriptor = props[i]; descriptor.enumerable = descriptor.enumerable || false; descriptor.configurable = true; if ("value" in descriptor) descriptor.writable = true; Object.defineProperty(target, descriptor.key, descriptor); } } return function (Constructor, protoProps, staticProps) { if (protoProps) defineProperties(Constructor.prototype, protoProps); if (staticProps) defineProperties(Constructor, staticProps); return Constructor; }; }();
+
+function _classCallCheck(instance, Constructor) { if (!(instance instanceof Constructor)) { throw new TypeError("Cannot call a class as a function"); } }
+
+var Events = function () {
+  function Events() {
+    _classCallCheck(this, Events);
+
+    this._types = {};
+    this._seq = 0;
+  }
+
+  _createClass(Events, [{
+    key: "on",
+    value: function on(eventType, listener) {
+      var subs = this._types[eventType];
+      if (!subs) {
+        subs = this._types[eventType] = {};
+      }
+      var sub = "sub" + this._seq++;
+      subs[sub] = listener;
+      return sub;
+    }
+
+    // Returns false if no match, or string for sub name if matched
+
+  }, {
+    key: "off",
+    value: function off(eventType, listener) {
+      var subs = this._types[eventType];
+      if (typeof listener === "function") {
+        for (var key in subs) {
+          if (subs.hasOwnProperty(key)) {
+            if (subs[key] === listener) {
+              delete subs[key];
+              return key;
+            }
+          }
+        }
+        return false;
+      } else if (typeof listener === "string") {
+        if (subs && subs[listener]) {
+          delete subs[listener];
+          return listener;
+        }
+        return false;
+      } else {
+        throw new Error("Unexpected type for listener");
+      }
+    }
+  }, {
+    key: "trigger",
+    value: function trigger(eventType, arg, thisObj) {
+      var subs = this._types[eventType];
+      for (var key in subs) {
+        if (subs.hasOwnProperty(key)) {
+          subs[key].call(thisObj, arg);
+        }
+      }
+    }
+  }]);
+
+  return Events;
+}();
+
+exports.default = Events;
+
+},{}],2:[function(require,module,exports){
+"use strict";
+
+Object.defineProperty(exports, "__esModule", {
+  value: true
+});
+exports.FilterHandle = undefined;
+
+var _createClass = function () { function defineProperties(target, props) { for (var i = 0; i < props.length; i++) { var descriptor = props[i]; descriptor.enumerable = descriptor.enumerable || false; descriptor.configurable = true; if ("value" in descriptor) descriptor.writable = true; Object.defineProperty(target, descriptor.key, descriptor); } } return function (Constructor, protoProps, staticProps) { if (protoProps) defineProperties(Constructor.prototype, protoProps); if (staticProps) defineProperties(Constructor, staticProps); return Constructor; }; }();
+
+var _events = require("./events");
+
+var _events2 = _interopRequireDefault(_events);
+
+var _filterset = require("./filterset");
+
+var _filterset2 = _interopRequireDefault(_filterset);
+
+var _group = require("./group");
+
+var _group2 = _interopRequireDefault(_group);
+
+var _util = require("./util");
+
+var util = _interopRequireWildcard(_util);
+
+function _interopRequireWildcard(obj) { if (obj && obj.__esModule) { return obj; } else { var newObj = {}; if (obj != null) { for (var key in obj) { if (Object.prototype.hasOwnProperty.call(obj, key)) newObj[key] = obj[key]; } } newObj.default = obj; return newObj; } }
+
+function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; }
+
+function _classCallCheck(instance, Constructor) { if (!(instance instanceof Constructor)) { throw new TypeError("Cannot call a class as a function"); } }
+
+function getFilterSet(group) {
+  var fsVar = group.var("filterset");
+  var result = fsVar.get();
+  if (!result) {
+    result = new _filterset2.default();
+    fsVar.set(result);
+  }
+  return result;
+}
+
+var id = 1;
+function nextId() {
+  return id++;
+}
+
+/**
+ * Use this class to contribute to, and listen for changes to, the filter set
+ * for the given group of widgets. Filter input controls should create one
+ * `FilterHandle` and only call {@link FilterHandle#set}. Output widgets that
+ * wish to displayed filtered data should create one `FilterHandle` and use
+ * the {@link FilterHandle#filteredKeys} property and listen for change
+ * events.
+ *
+ * If two (or more) `FilterHandle` instances in the same webpage share the
+ * same group name, they will contribute to a single "filter set". Each
+ * `FilterHandle` starts out with a `null` value, which means they take
+ * nothing away from the set of data that should be shown. To make a
+ * `FilterHandle` actually remove data from the filter set, set its value to
+ * an array of keys which should be displayed. Crosstalk will aggregate the
+ * various key arrays by finding their intersection; only keys that are
+ * present in all non-null filter handles are considered part of the filter
+ * set.
+ *
+ * @param {string} [group] - The name of the Crosstalk group, or if none,
+ *   null or undefined (or any other falsy value). This can be changed later
+ *   via the {@link FilterHandle#setGroup} method.
+ * @param {Object} [extraInfo] - An object whose properties will be copied to
+ *   the event object whenever an event is emitted.
+ */
+
+var FilterHandle = exports.FilterHandle = function () {
+  function FilterHandle(group, extraInfo) {
+    _classCallCheck(this, FilterHandle);
+
+    this._eventRelay = new _events2.default();
+    this._emitter = new util.SubscriptionTracker(this._eventRelay);
+
+    // Name of the group we're currently tracking, if any. Can change over time.
+    this._group = null;
+    // The filterSet that we're tracking, if any. Can change over time.
+    this._filterSet = null;
+    // The Var we're currently tracking, if any. Can change over time.
+    this._filterVar = null;
+    // The event handler subscription we currently have on var.on("change").
+    this._varOnChangeSub = null;
+
+    this._extraInfo = util.extend({ sender: this }, extraInfo);
+
+    this._id = "filter" + nextId();
+
+    this.setGroup(group);
+  }
+
+  /**
+   * Changes the Crosstalk group membership of this FilterHandle. If `set()` was
+   * previously called on this handle, switching groups will clear those keys
+   * from the old group's filter set. These keys will not be applied to the new
+   * group's filter set either. In other words, `setGroup()` effectively calls
+   * `clear()` before switching groups.
+   *
+   * @param {string} group - The name of the Crosstalk group, or null (or
+   *   undefined) to clear the group.
+   */
+
+
+  _createClass(FilterHandle, [{
+    key: "setGroup",
+    value: function setGroup(group) {
+      var _this = this;
+
+      // If group is unchanged, do nothing
+      if (this._group === group) return;
+      // Treat null, undefined, and other falsy values the same
+      if (!this._group && !group) return;
+
+      if (this._filterVar) {
+        this._filterVar.off("change", this._varOnChangeSub);
+        this.clear();
+        this._varOnChangeSub = null;
+        this._filterVar = null;
+        this._filterSet = null;
+      }
+
+      this._group = group;
+
+      if (group) {
+        group = (0, _group2.default)(group);
+        this._filterSet = getFilterSet(group);
+        this._filterVar = (0, _group2.default)(group).var("filter");
+        var sub = this._filterVar.on("change", function (e) {
+          _this._eventRelay.trigger("change", e, _this);
+        });
+        this._varOnChangeSub = sub;
+      }
+    }
+
+    /**
+     * Combine the given `extraInfo` (if any) with the handle's default
+     * `_extraInfo` (if any).
+     * @private
+     */
+
+  }, {
+    key: "_mergeExtraInfo",
+    value: function _mergeExtraInfo(extraInfo) {
+      return util.extend({}, this._extraInfo ? this._extraInfo : null, extraInfo ? extraInfo : null);
+    }
+
+    /**
+     * Close the handle. This clears this handle's contribution to the filter set,
+     * and unsubscribes all event listeners.
+     */
+
+  }, {
+    key: "close",
+    value: function close() {
+      this._emitter.removeAllListeners();
+      this.clear();
+      this.setGroup(null);
+    }
+
+    /**
+     * Clear this handle's contribution to the filter set.
+     *
+     * @param {Object} [extraInfo] - Extra properties to be included on the event
+     *   object that's passed to listeners (in addition to any options that were
+     *   passed into the `FilterHandle` constructor).
+     * 
+     * @fires FilterHandle#change
+     */
+
+  }, {
+    key: "clear",
+    value: function clear(extraInfo) {
+      if (!this._filterSet) return;
+      this._filterSet.clear(this._id);
+      this._onChange(extraInfo);
+    }
+
+    /**
+     * Set this handle's contribution to the filter set. This array should consist
+     * of the keys of the rows that _should_ be displayed; any keys that are not
+     * present in the array will be considered _filtered out_. Note that multiple
+     * `FilterHandle` instances in the group may each contribute an array of keys,
+     * and only those keys that appear in _all_ of the arrays make it through the
+     * filter.
+     *
+     * @param {string[]} keys - Empty array, or array of keys. To clear the
+     *   filter, don't pass an empty array; instead, use the
+     *   {@link FilterHandle#clear} method.
+     * @param {Object} [extraInfo] - Extra properties to be included on the event
+     *   object that's passed to listeners (in addition to any options that were
+     *   passed into the `FilterHandle` constructor).
+     * 
+     * @fires FilterHandle#change
+     */
+
+  }, {
+    key: "set",
+    value: function set(keys, extraInfo) {
+      if (!this._filterSet) return;
+      this._filterSet.update(this._id, keys);
+      this._onChange(extraInfo);
+    }
+
+    /**
+     * @return {string[]|null} - Either: 1) an array of keys that made it through
+     *   all of the `FilterHandle` instances, or, 2) `null`, which means no filter
+     *   is being applied (all data should be displayed).
+     */
+
+  }, {
+    key: "on",
+
+
+    /**
+     * Subscribe to events on this `FilterHandle`.
+     *
+     * @param {string} eventType - Indicates the type of events to listen to.
+     *   Currently, only `"change"` is supported.
+     * @param {FilterHandle~listener} listener - The callback function that
+     *   will be invoked when the event occurs.
+     * @return {string} - A token to pass to {@link FilterHandle#off} to cancel
+     *   this subscription.
+     */
+    value: function on(eventType, listener) {
+      return this._emitter.on(eventType, listener);
+    }
+
+    /**
+     * Cancel event subscriptions created by {@link FilterHandle#on}.
+     *
+     * @param {string} eventType - The type of event to unsubscribe.
+     * @param {string|FilterHandle~listener} listener - Either the callback
+     *   function previously passed into {@link FilterHandle#on}, or the
+     *   string that was returned from {@link FilterHandle#on}.
+     */
+
+  }, {
+    key: "off",
+    value: function off(eventType, listener) {
+      return this._emitter.off(eventType, listener);
+    }
+  }, {
+    key: "_onChange",
+    value: function _onChange(extraInfo) {
+      if (!this._filterSet) return;
+      this._filterVar.set(this._filterSet.value, this._mergeExtraInfo(extraInfo));
+    }
+
+    /**
+     * @callback FilterHandle~listener
+     * @param {Object} event - An object containing details of the event. For
+     *   `"change"` events, this includes the properties `value` (the new
+     *   value of the filter set, or `null` if no filter set is active),
+     *   `oldValue` (the previous value of the filter set), and `sender` (the
+     *   `FilterHandle` instance that made the change).
+     */
+
+  }, {
+    key: "filteredKeys",
+    get: function get() {
+      return this._filterSet ? this._filterSet.value : null;
+    }
+  }]);
+
+  return FilterHandle;
+}();
+
+/**
+ * @event FilterHandle#change
+ * @type {object}
+ * @property {object} value - The new value of the filter set, or `null`
+ *   if no filter set is active.
+ * @property {object} oldValue - The previous value of the filter set.
+ * @property {FilterHandle} sender - The `FilterHandle` instance that
+ *   changed the value.
+ */
+
+},{"./events":1,"./filterset":3,"./group":4,"./util":11}],3:[function(require,module,exports){
+"use strict";
+
+Object.defineProperty(exports, "__esModule", {
+  value: true
+});
+
+var _createClass = function () { function defineProperties(target, props) { for (var i = 0; i < props.length; i++) { var descriptor = props[i]; descriptor.enumerable = descriptor.enumerable || false; descriptor.configurable = true; if ("value" in descriptor) descriptor.writable = true; Object.defineProperty(target, descriptor.key, descriptor); } } return function (Constructor, protoProps, staticProps) { if (protoProps) defineProperties(Constructor.prototype, protoProps); if (staticProps) defineProperties(Constructor, staticProps); return Constructor; }; }();
+
+var _util = require("./util");
+
+function _classCallCheck(instance, Constructor) { if (!(instance instanceof Constructor)) { throw new TypeError("Cannot call a class as a function"); } }
+
+function naturalComparator(a, b) {
+  if (a === b) {
+    return 0;
+  } else if (a < b) {
+    return -1;
+  } else if (a > b) {
+    return 1;
+  }
+}
+
+/**
+ * @private
+ */
+
+var FilterSet = function () {
+  function FilterSet() {
+    _classCallCheck(this, FilterSet);
+
+    this.reset();
+  }
+
+  _createClass(FilterSet, [{
+    key: "reset",
+    value: function reset() {
+      // Key: handle ID, Value: array of selected keys, or null
+      this._handles = {};
+      // Key: key string, Value: count of handles that include it
+      this._keys = {};
+      this._value = null;
+      this._activeHandles = 0;
+    }
+  }, {
+    key: "update",
+    value: function update(handleId, keys) {
+      if (keys !== null) {
+        keys = keys.slice(0); // clone before sorting
+        keys.sort(naturalComparator);
+      }
+
+      var _diffSortedLists = (0, _util.diffSortedLists)(this._handles[handleId], keys),
+          added = _diffSortedLists.added,
+          removed = _diffSortedLists.removed;
+
+      this._handles[handleId] = keys;
+
+      for (var i = 0; i < added.length; i++) {
+        this._keys[added[i]] = (this._keys[added[i]] || 0) + 1;
+      }
+      for (var _i = 0; _i < removed.length; _i++) {
+        this._keys[removed[_i]]--;
+      }
+
+      this._updateValue(keys);
+    }
+
+    /**
+     * @param {string[]} keys Sorted array of strings that indicate
+     * a superset of possible keys.
+     * @private
+     */
+
+  }, {
+    key: "_updateValue",
+    value: function _updateValue() {
+      var keys = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : this._allKeys;
+
+      var handleCount = Object.keys(this._handles).length;
+      if (handleCount === 0) {
+        this._value = null;
+      } else {
+        this._value = [];
+        for (var i = 0; i < keys.length; i++) {
+          var count = this._keys[keys[i]];
+          if (count === handleCount) {
+            this._value.push(keys[i]);
+          }
+        }
+      }
+    }
+  }, {
+    key: "clear",
+    value: function clear(handleId) {
+      if (typeof this._handles[handleId] === "undefined") {
+        return;
+      }
+
+      var keys = this._handles[handleId];
+      if (!keys) {
+        keys = [];
+      }
+
+      for (var i = 0; i < keys.length; i++) {
+        this._keys[keys[i]]--;
+      }
+      delete this._handles[handleId];
+
+      this._updateValue();
+    }
+  }, {
+    key: "value",
+    get: function get() {
+      return this._value;
+    }
+  }, {
+    key: "_allKeys",
+    get: function get() {
+      var allKeys = Object.keys(this._keys);
+      allKeys.sort(naturalComparator);
+      return allKeys;
+    }
+  }]);
+
+  return FilterSet;
+}();
+
+exports.default = FilterSet;
+
+},{"./util":11}],4:[function(require,module,exports){
+(function (global){
+"use strict";
+
+Object.defineProperty(exports, "__esModule", {
+  value: true
+});
+
+var _createClass = function () { function defineProperties(target, props) { for (var i = 0; i < props.length; i++) { var descriptor = props[i]; descriptor.enumerable = descriptor.enumerable || false; descriptor.configurable = true; if ("value" in descriptor) descriptor.writable = true; Object.defineProperty(target, descriptor.key, descriptor); } } return function (Constructor, protoProps, staticProps) { if (protoProps) defineProperties(Constructor.prototype, protoProps); if (staticProps) defineProperties(Constructor, staticProps); return Constructor; }; }();
+
+var _typeof = typeof Symbol === "function" && typeof Symbol.iterator === "symbol" ? function (obj) { return typeof obj; } : function (obj) { return obj && typeof Symbol === "function" && obj.constructor === Symbol && obj !== Symbol.prototype ? "symbol" : typeof obj; };
+
+exports.default = group;
+
+var _var2 = require("./var");
+
+var _var3 = _interopRequireDefault(_var2);
+
+function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; }
+
+function _classCallCheck(instance, Constructor) { if (!(instance instanceof Constructor)) { throw new TypeError("Cannot call a class as a function"); } }
+
+// Use a global so that multiple copies of crosstalk.js can be loaded and still
+// have groups behave as singletons across all copies.
+global.__crosstalk_groups = global.__crosstalk_groups || {};
+var groups = global.__crosstalk_groups;
+
+function group(groupName) {
+  if (groupName && typeof groupName === "string") {
+    if (!groups.hasOwnProperty(groupName)) {
+      groups[groupName] = new Group(groupName);
+    }
+    return groups[groupName];
+  } else if ((typeof groupName === "undefined" ? "undefined" : _typeof(groupName)) === "object" && groupName._vars && groupName.var) {
+    // Appears to already be a group object
+    return groupName;
+  } else if (Array.isArray(groupName) && groupName.length == 1 && typeof groupName[0] === "string") {
+    return group(groupName[0]);
+  } else {
+    throw new Error("Invalid groupName argument");
+  }
+}
+
+var Group = function () {
+  function Group(name) {
+    _classCallCheck(this, Group);
+
+    this.name = name;
+    this._vars = {};
+  }
+
+  _createClass(Group, [{
+    key: "var",
+    value: function _var(name) {
+      if (!name || typeof name !== "string") {
+        throw new Error("Invalid var name");
+      }
+
+      if (!this._vars.hasOwnProperty(name)) this._vars[name] = new _var3.default(this, name);
+      return this._vars[name];
+    }
+  }, {
+    key: "has",
+    value: function has(name) {
+      if (!name || typeof name !== "string") {
+        throw new Error("Invalid var name");
+      }
+
+      return this._vars.hasOwnProperty(name);
+    }
+  }]);
+
+  return Group;
+}();
+
+}).call(this,typeof global !== "undefined" ? global : typeof self !== "undefined" ? self : typeof window !== "undefined" ? window : {})
+
+},{"./var":12}],5:[function(require,module,exports){
+(function (global){
+"use strict";
+
+Object.defineProperty(exports, "__esModule", {
+  value: true
+});
+
+var _group = require("./group");
+
+var _group2 = _interopRequireDefault(_group);
+
+var _selection = require("./selection");
+
+var _filter = require("./filter");
+
+var _input = require("./input");
+
+require("./input_selectize");
+
+require("./input_checkboxgroup");
+
+require("./input_slider");
+
+function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; }
+
+var defaultGroup = (0, _group2.default)("default");
+
+function var_(name) {
+  return defaultGroup.var(name);
+}
+
+function has(name) {
+  return defaultGroup.has(name);
+}
+
+if (global.Shiny) {
+  global.Shiny.addCustomMessageHandler("update-client-value", function (message) {
+    if (typeof message.group === "string") {
+      (0, _group2.default)(message.group).var(message.name).set(message.value);
+    } else {
+      var_(message.name).set(message.value);
+    }
+  });
+}
+
+var crosstalk = {
+  group: _group2.default,
+  var: var_,
+  has: has,
+  SelectionHandle: _selection.SelectionHandle,
+  FilterHandle: _filter.FilterHandle,
+  bind: _input.bind
+};
+
+/**
+ * @namespace crosstalk
+ */
+exports.default = crosstalk;
+
+global.crosstalk = crosstalk;
+
+}).call(this,typeof global !== "undefined" ? global : typeof self !== "undefined" ? self : typeof window !== "undefined" ? window : {})
+
+},{"./filter":2,"./group":4,"./input":6,"./input_checkboxgroup":7,"./input_selectize":8,"./input_slider":9,"./selection":10}],6:[function(require,module,exports){
+(function (global){
+"use strict";
+
+Object.defineProperty(exports, "__esModule", {
+  value: true
+});
+exports.register = register;
+exports.bind = bind;
+var $ = global.jQuery;
+
+var bindings = {};
+
+function register(reg) {
+  bindings[reg.className] = reg;
+  if (global.document && global.document.readyState !== "complete") {
+    $(function () {
+      bind();
+    });
+  } else if (global.document) {
+    setTimeout(bind, 100);
+  }
+}
+
+function bind() {
+  Object.keys(bindings).forEach(function (className) {
+    var binding = bindings[className];
+    $("." + binding.className).not(".crosstalk-input-bound").each(function (i, el) {
+      bindInstance(binding, el);
+    });
+  });
+}
+
+// Escape jQuery identifier
+function $escape(val) {
+  return val.replace(/([!"#$%&'()*+,./:;<=>?@[\\\]^`{|}~])/g, "\\$1");
+}
+
+function bindEl(el) {
+  var $el = $(el);
+  Object.keys(bindings).forEach(function (className) {
+    if ($el.hasClass(className) && !$el.hasClass("crosstalk-input-bound")) {
+      var binding = bindings[className];
+      bindInstance(binding, el);
+    }
+  });
+}
+
+function bindInstance(binding, el) {
+  var jsonEl = $(el).find("script[type='application/json'][data-for='" + $escape(el.id) + "']");
+  var data = JSON.parse(jsonEl[0].innerText);
+
+  var instance = binding.factory(el, data);
+  $(el).data("crosstalk-instance", instance);
+  $(el).addClass("crosstalk-input-bound");
+}
+
+if (global.Shiny) {
+  var inputBinding = new global.Shiny.InputBinding();
+  var _$ = global.jQuery;
+  _$.extend(inputBinding, {
+    find: function find(scope) {
+      return _$(scope).find(".crosstalk-input");
+    },
+    initialize: function initialize(el) {
+      if (!_$(el).hasClass("crosstalk-input-bound")) {
+        bindEl(el);
+      }
+    },
+    getId: function getId(el) {
+      return el.id;
+    },
+    getValue: function getValue(el) {},
+    setValue: function setValue(el, value) {},
+    receiveMessage: function receiveMessage(el, data) {},
+    subscribe: function subscribe(el, callback) {
+      _$(el).data("crosstalk-instance").resume();
+    },
+    unsubscribe: function unsubscribe(el) {
+      _$(el).data("crosstalk-instance").suspend();
+    }
+  });
+  global.Shiny.inputBindings.register(inputBinding, "crosstalk.inputBinding");
+}
+
+}).call(this,typeof global !== "undefined" ? global : typeof self !== "undefined" ? self : typeof window !== "undefined" ? window : {})
+
+},{}],7:[function(require,module,exports){
+(function (global){
+"use strict";
+
+var _input = require("./input");
+
+var input = _interopRequireWildcard(_input);
+
+var _filter = require("./filter");
+
+function _interopRequireWildcard(obj) { if (obj && obj.__esModule) { return obj; } else { var newObj = {}; if (obj != null) { for (var key in obj) { if (Object.prototype.hasOwnProperty.call(obj, key)) newObj[key] = obj[key]; } } newObj.default = obj; return newObj; } }
+
+var $ = global.jQuery;
+
+input.register({
+  className: "crosstalk-input-checkboxgroup",
+
+  factory: function factory(el, data) {
+    /*
+     * map: {"groupA": ["keyA", "keyB", ...], ...}
+     * group: "ct-groupname"
+     */
+    var ctHandle = new _filter.FilterHandle(data.group);
+
+    var lastKnownKeys = void 0;
+    var $el = $(el);
+    $el.on("change", "input[type='checkbox']", function () {
+      var checked = $el.find("input[type='checkbox']:checked");
+      if (checked.length === 0) {
+        lastKnownKeys = null;
+        ctHandle.clear();
+      } else {
+        var keys = {};
+        checked.each(function () {
+          data.map[this.value].forEach(function (key) {
+            keys[key] = true;
+          });
+        });
+        var keyArray = Object.keys(keys);
+        keyArray.sort();
+        lastKnownKeys = keyArray;
+        ctHandle.set(keyArray);
+      }
+    });
+
+    return {
+      suspend: function suspend() {
+        ctHandle.clear();
+      },
+      resume: function resume() {
+        if (lastKnownKeys) ctHandle.set(lastKnownKeys);
+      }
+    };
+  }
+});
+
+}).call(this,typeof global !== "undefined" ? global : typeof self !== "undefined" ? self : typeof window !== "undefined" ? window : {})
+
+},{"./filter":2,"./input":6}],8:[function(require,module,exports){
+(function (global){
+"use strict";
+
+var _input = require("./input");
+
+var input = _interopRequireWildcard(_input);
+
+var _util = require("./util");
+
+var util = _interopRequireWildcard(_util);
+
+var _filter = require("./filter");
+
+function _interopRequireWildcard(obj) { if (obj && obj.__esModule) { return obj; } else { var newObj = {}; if (obj != null) { for (var key in obj) { if (Object.prototype.hasOwnProperty.call(obj, key)) newObj[key] = obj[key]; } } newObj.default = obj; return newObj; } }
+
+var $ = global.jQuery;
+
+input.register({
+  className: "crosstalk-input-select",
+
+  factory: function factory(el, data) {
+    /*
+     * items: {value: [...], label: [...]}
+     * map: {"groupA": ["keyA", "keyB", ...], ...}
+     * group: "ct-groupname"
+     */
+
+    var first = [{ value: "", label: "(All)" }];
+    var items = util.dataframeToD3(data.items);
+    var opts = {
+      options: first.concat(items),
+      valueField: "value",
+      labelField: "label",
+      searchField: "label"
+    };
+
+    var select = $(el).find("select")[0];
+
+    var selectize = $(select).selectize(opts)[0].selectize;
+
+    var ctHandle = new _filter.FilterHandle(data.group);
+
+    var lastKnownKeys = void 0;
+    selectize.on("change", function () {
+      if (selectize.items.length === 0) {
+        lastKnownKeys = null;
+        ctHandle.clear();
+      } else {
+        var keys = {};
+        selectize.items.forEach(function (group) {
+          data.map[group].forEach(function (key) {
+            keys[key] = true;
+          });
+        });
+        var keyArray = Object.keys(keys);
+        keyArray.sort();
+        lastKnownKeys = keyArray;
+        ctHandle.set(keyArray);
+      }
+    });
+
+    return {
+      suspend: function suspend() {
+        ctHandle.clear();
+      },
+      resume: function resume() {
+        if (lastKnownKeys) ctHandle.set(lastKnownKeys);
+      }
+    };
+  }
+});
+
+}).call(this,typeof global !== "undefined" ? global : typeof self !== "undefined" ? self : typeof window !== "undefined" ? window : {})
+
+},{"./filter":2,"./input":6,"./util":11}],9:[function(require,module,exports){
+(function (global){
+"use strict";
+
+var _slicedToArray = function () { function sliceIterator(arr, i) { var _arr = []; var _n = true; var _d = false; var _e = undefined; try { for (var _i = arr[Symbol.iterator](), _s; !(_n = (_s = _i.next()).done); _n = true) { _arr.push(_s.value); if (i && _arr.length === i) break; } } catch (err) { _d = true; _e = err; } finally { try { if (!_n && _i["return"]) _i["return"](); } finally { if (_d) throw _e; } } return _arr; } return function (arr, i) { if (Array.isArray(arr)) { return arr; } else if (Symbol.iterator in Object(arr)) { return sliceIterator(arr, i); } else { throw new TypeError("Invalid attempt to destructure non-iterable instance"); } }; }();
+
+var _input = require("./input");
+
+var input = _interopRequireWildcard(_input);
+
+var _filter = require("./filter");
+
+function _interopRequireWildcard(obj) { if (obj && obj.__esModule) { return obj; } else { var newObj = {}; if (obj != null) { for (var key in obj) { if (Object.prototype.hasOwnProperty.call(obj, key)) newObj[key] = obj[key]; } } newObj.default = obj; return newObj; } }
+
+var $ = global.jQuery;
+var strftime = global.strftime;
+
+input.register({
+  className: "crosstalk-input-slider",
+
+  factory: function factory(el, data) {
+    /*
+     * map: {"groupA": ["keyA", "keyB", ...], ...}
+     * group: "ct-groupname"
+     */
+    var ctHandle = new _filter.FilterHandle(data.group);
+
+    var opts = {};
+    var $el = $(el).find("input");
+    var dataType = $el.data("data-type");
+    var timeFormat = $el.data("time-format");
+    var round = $el.data("round");
+    var timeFormatter = void 0;
+
+    // Set up formatting functions
+    if (dataType === "date") {
+      timeFormatter = strftime.utc();
+      opts.prettify = function (num) {
+        return timeFormatter(timeFormat, new Date(num));
+      };
+    } else if (dataType === "datetime") {
+      var timezone = $el.data("timezone");
+      if (timezone) timeFormatter = strftime.timezone(timezone);else timeFormatter = strftime;
+
+      opts.prettify = function (num) {
+        return timeFormatter(timeFormat, new Date(num));
+      };
+    } else if (dataType === "number") {
+      if (typeof round !== "undefined") opts.prettify = function (num) {
+        var factor = Math.pow(10, round);
+        return Math.round(num * factor) / factor;
+      };
+    }
+
+    $el.ionRangeSlider(opts);
+
+    function getValue() {
+      var result = $el.data("ionRangeSlider").result;
+
+      // Function for converting numeric value from slider to appropriate type.
+      var convert = void 0;
+      var dataType = $el.data("data-type");
+      if (dataType === "date") {
+        convert = function convert(val) {
+          return formatDateUTC(new Date(+val));
+        };
+      } else if (dataType === "datetime") {
+        convert = function convert(val) {
+          // Convert ms to s
+          return +val / 1000;
+        };
+      } else {
+        convert = function convert(val) {
+          return +val;
+        };
+      }
+
+      if ($el.data("ionRangeSlider").options.type === "double") {
+        return [convert(result.from), convert(result.to)];
+      } else {
+        return convert(result.from);
+      }
+    }
+
+    var lastKnownKeys = null;
+
+    $el.on("change.crosstalkSliderInput", function (event) {
+      if (!$el.data("updating") && !$el.data("animating")) {
+        var _getValue = getValue(),
+            _getValue2 = _slicedToArray(_getValue, 2),
+            from = _getValue2[0],
+            to = _getValue2[1];
+
+        var keys = [];
+        for (var i = 0; i < data.values.length; i++) {
+          var val = data.values[i];
+          if (val >= from && val <= to) {
+            keys.push(data.keys[i]);
+          }
+        }
+        keys.sort();
+        ctHandle.set(keys);
+        lastKnownKeys = keys;
+      }
+    });
+
+    // let $el = $(el);
+    // $el.on("change", "input[type="checkbox"]", function() {
+    //   let checked = $el.find("input[type="checkbox"]:checked");
+    //   if (checked.length === 0) {
+    //     ctHandle.clear();
+    //   } else {
+    //     let keys = {};
+    //     checked.each(function() {
+    //       data.map[this.value].forEach(function(key) {
+    //         keys[key] = true;
+    //       });
+    //     });
+    //     let keyArray = Object.keys(keys);
+    //     keyArray.sort();
+    //     ctHandle.set(keyArray);
+    //   }
+    // });
+
+    return {
+      suspend: function suspend() {
+        ctHandle.clear();
+      },
+      resume: function resume() {
+        if (lastKnownKeys) ctHandle.set(lastKnownKeys);
+      }
+    };
+  }
+});
+
+// Convert a number to a string with leading zeros
+function padZeros(n, digits) {
+  var str = n.toString();
+  while (str.length < digits) {
+    str = "0" + str;
+  }return str;
+}
+
+// Given a Date object, return a string in yyyy-mm-dd format, using the
+// UTC date. This may be a day off from the date in the local time zone.
+function formatDateUTC(date) {
+  if (date instanceof Date) {
+    return date.getUTCFullYear() + "-" + padZeros(date.getUTCMonth() + 1, 2) + "-" + padZeros(date.getUTCDate(), 2);
+  } else {
+    return null;
+  }
+}
+
+}).call(this,typeof global !== "undefined" ? global : typeof self !== "undefined" ? self : typeof window !== "undefined" ? window : {})
+
+},{"./filter":2,"./input":6}],10:[function(require,module,exports){
+"use strict";
+
+Object.defineProperty(exports, "__esModule", {
+  value: true
+});
+exports.SelectionHandle = undefined;
+
+var _createClass = function () { function defineProperties(target, props) { for (var i = 0; i < props.length; i++) { var descriptor = props[i]; descriptor.enumerable = descriptor.enumerable || false; descriptor.configurable = true; if ("value" in descriptor) descriptor.writable = true; Object.defineProperty(target, descriptor.key, descriptor); } } return function (Constructor, protoProps, staticProps) { if (protoProps) defineProperties(Constructor.prototype, protoProps); if (staticProps) defineProperties(Constructor, staticProps); return Constructor; }; }();
+
+var _events = require("./events");
+
+var _events2 = _interopRequireDefault(_events);
+
+var _group = require("./group");
+
+var _group2 = _interopRequireDefault(_group);
+
+var _util = require("./util");
+
+var util = _interopRequireWildcard(_util);
+
+function _interopRequireWildcard(obj) { if (obj && obj.__esModule) { return obj; } else { var newObj = {}; if (obj != null) { for (var key in obj) { if (Object.prototype.hasOwnProperty.call(obj, key)) newObj[key] = obj[key]; } } newObj.default = obj; return newObj; } }
+
+function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; }
+
+function _classCallCheck(instance, Constructor) { if (!(instance instanceof Constructor)) { throw new TypeError("Cannot call a class as a function"); } }
+
+/**
+ * Use this class to read and write (and listen for changes to) the selection
+ * for a Crosstalk group. This is intended to be used for linked brushing.
+ *
+ * If two (or more) `SelectionHandle` instances in the same webpage share the
+ * same group name, they will share the same state. Setting the selection using
+ * one `SelectionHandle` instance will result in the `value` property instantly
+ * changing across the others, and `"change"` event listeners on all instances
+ * (including the one that initiated the sending) will fire.
+ *
+ * @param {string} [group] - The name of the Crosstalk group, or if none,
+ *   null or undefined (or any other falsy value). This can be changed later
+ *   via the [SelectionHandle#setGroup](#setGroup) method.
+ * @param {Object} [extraInfo] - An object whose properties will be copied to
+ *   the event object whenever an event is emitted.
+ */
+var SelectionHandle = exports.SelectionHandle = function () {
+  function SelectionHandle() {
+    var group = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : null;
+    var extraInfo = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : null;
+
+    _classCallCheck(this, SelectionHandle);
+
+    this._eventRelay = new _events2.default();
+    this._emitter = new util.SubscriptionTracker(this._eventRelay);
+
+    // Name of the group we're currently tracking, if any. Can change over time.
+    this._group = null;
+    // The Var we're currently tracking, if any. Can change over time.
+    this._var = null;
+    // The event handler subscription we currently have on var.on("change").
+    this._varOnChangeSub = null;
+
+    this._extraInfo = util.extend({ sender: this }, extraInfo);
+
+    this.setGroup(group);
+  }
+
+  /**
+   * Changes the Crosstalk group membership of this SelectionHandle. The group
+   * being switched away from (if any) will not have its selection value
+   * modified as a result of calling `setGroup`, even if this handle was the
+   * most recent handle to set the selection of the group.
+   *
+   * The group being switched to (if any) will also not have its selection value
+   * modified as a result of calling `setGroup`. If you want to set the
+   * selection value of the new group, call `set` explicitly.
+   *
+   * @param {string} group - The name of the Crosstalk group, or null (or
+   *   undefined) to clear the group.
+   */
+
+
+  _createClass(SelectionHandle, [{
+    key: "setGroup",
+    value: function setGroup(group) {
+      var _this = this;
+
+      // If group is unchanged, do nothing
+      if (this._group === group) return;
+      // Treat null, undefined, and other falsy values the same
+      if (!this._group && !group) return;
+
+      if (this._var) {
+        this._var.off("change", this._varOnChangeSub);
+        this._var = null;
+        this._varOnChangeSub = null;
+      }
+
+      this._group = group;
+
+      if (group) {
+        this._var = (0, _group2.default)(group).var("selection");
+        var sub = this._var.on("change", function (e) {
+          _this._eventRelay.trigger("change", e, _this);
+        });
+        this._varOnChangeSub = sub;
+      }
+    }
+
+    /**
+     * Retrieves the current selection for the group represented by this
+     * `SelectionHandle`.
+     *
+     * - If no selection is active, then this value will be falsy.
+     * - If a selection is active, but no data points are selected, then this
+     *   value will be an empty array.
+     * - If a selection is active, and data points are selected, then the keys
+     *   of the selected data points will be present in the array.
+     */
+
+  }, {
+    key: "_mergeExtraInfo",
+
+
+    /**
+     * Combines the given `extraInfo` (if any) with the handle's default
+     * `_extraInfo` (if any).
+     * @private
+     */
+    value: function _mergeExtraInfo(extraInfo) {
+      // Important incidental effect: shallow clone is returned
+      return util.extend({}, this._extraInfo ? this._extraInfo : null, extraInfo ? extraInfo : null);
+    }
+
+    /**
+     * Overwrites the current selection for the group, and raises the `"change"`
+     * event among all of the group's '`SelectionHandle` instances (including
+     * this one).
+     *
+     * @fires SelectionHandle#change
+     * @param {string[]} selectedKeys - Falsy, empty array, or array of keys (see
+     *   {@link SelectionHandle#value}).
+     * @param {Object} [extraInfo] - Extra properties to be included on the event
+     *   object that's passed to listeners (in addition to any options that were
+     *   passed into the `SelectionHandle` constructor).
+     */
+
+  }, {
+    key: "set",
+    value: function set(selectedKeys, extraInfo) {
+      if (this._var) this._var.set(selectedKeys, this._mergeExtraInfo(extraInfo));
+    }
+
+    /**
+     * Overwrites the current selection for the group, and raises the `"change"`
+     * event among all of the group's '`SelectionHandle` instances (including
+     * this one).
+     *
+     * @fires SelectionHandle#change
+     * @param {Object} [extraInfo] - Extra properties to be included on the event
+     *   object that's passed to listeners (in addition to any that were passed
+     *   into the `SelectionHandle` constructor).
+     */
+
+  }, {
+    key: "clear",
+    value: function clear(extraInfo) {
+      if (this._var) this.set(void 0, this._mergeExtraInfo(extraInfo));
+    }
+
+    /**
+     * Subscribes to events on this `SelectionHandle`.
+     *
+     * @param {string} eventType - Indicates the type of events to listen to.
+     *   Currently, only `"change"` is supported.
+     * @param {SelectionHandle~listener} listener - The callback function that
+     *   will be invoked when the event occurs.
+     * @return {string} - A token to pass to {@link SelectionHandle#off} to cancel
+     *   this subscription.
+     */
+
+  }, {
+    key: "on",
+    value: function on(eventType, listener) {
+      return this._emitter.on(eventType, listener);
+    }
+
+    /**
+     * Cancels event subscriptions created by {@link SelectionHandle#on}.
+     *
+     * @param {string} eventType - The type of event to unsubscribe.
+     * @param {string|SelectionHandle~listener} listener - Either the callback
+     *   function previously passed into {@link SelectionHandle#on}, or the
+     *   string that was returned from {@link SelectionHandle#on}.
+     */
+
+  }, {
+    key: "off",
+    value: function off(eventType, listener) {
+      return this._emitter.off(eventType, listener);
+    }
+
+    /**
+     * Shuts down the `SelectionHandle` object.
+     *
+     * Removes all event listeners that were added through this handle.
+     */
+
+  }, {
+    key: "close",
+    value: function close() {
+      this._emitter.removeAllListeners();
+      this.setGroup(null);
+    }
+  }, {
+    key: "value",
+    get: function get() {
+      return this._var ? this._var.get() : null;
+    }
+  }]);
+
+  return SelectionHandle;
+}();
+
+/**
+ * @callback SelectionHandle~listener
+ * @param {Object} event - An object containing details of the event. For
+ *   `"change"` events, this includes the properties `value` (the new
+ *   value of the selection, or `undefined` if no selection is active),
+ *   `oldValue` (the previous value of the selection), and `sender` (the
+ *   `SelectionHandle` instance that made the change).
+ */
+
+/**
+ * @event SelectionHandle#change
+ * @type {object}
+ * @property {object} value - The new value of the selection, or `undefined`
+ *   if no selection is active.
+ * @property {object} oldValue - The previous value of the selection.
+ * @property {SelectionHandle} sender - The `SelectionHandle` instance that
+ *   changed the value.
+ */
+
+},{"./events":1,"./group":4,"./util":11}],11:[function(require,module,exports){
+"use strict";
+
+Object.defineProperty(exports, "__esModule", {
+  value: true
+});
+
+var _createClass = function () { function defineProperties(target, props) { for (var i = 0; i < props.length; i++) { var descriptor = props[i]; descriptor.enumerable = descriptor.enumerable || false; descriptor.configurable = true; if ("value" in descriptor) descriptor.writable = true; Object.defineProperty(target, descriptor.key, descriptor); } } return function (Constructor, protoProps, staticProps) { if (protoProps) defineProperties(Constructor.prototype, protoProps); if (staticProps) defineProperties(Constructor, staticProps); return Constructor; }; }();
+
+var _typeof = typeof Symbol === "function" && typeof Symbol.iterator === "symbol" ? function (obj) { return typeof obj; } : function (obj) { return obj && typeof Symbol === "function" && obj.constructor === Symbol && obj !== Symbol.prototype ? "symbol" : typeof obj; };
+
+exports.extend = extend;
+exports.checkSorted = checkSorted;
+exports.diffSortedLists = diffSortedLists;
+exports.dataframeToD3 = dataframeToD3;
+
+function _classCallCheck(instance, Constructor) { if (!(instance instanceof Constructor)) { throw new TypeError("Cannot call a class as a function"); } }
+
+function extend(target) {
+  for (var _len = arguments.length, sources = Array(_len > 1 ? _len - 1 : 0), _key = 1; _key < _len; _key++) {
+    sources[_key - 1] = arguments[_key];
+  }
+
+  for (var i = 0; i < sources.length; i++) {
+    var src = sources[i];
+    if (typeof src === "undefined" || src === null) continue;
+
+    for (var key in src) {
+      if (src.hasOwnProperty(key)) {
+        target[key] = src[key];
+      }
+    }
+  }
+  return target;
+}
+
+function checkSorted(list) {
+  for (var i = 1; i < list.length; i++) {
+    if (list[i] <= list[i - 1]) {
+      throw new Error("List is not sorted or contains duplicate");
+    }
+  }
+}
+
+function diffSortedLists(a, b) {
+  var i_a = 0;
+  var i_b = 0;
+
+  if (!a) a = [];
+  if (!b) b = [];
+
+  var a_only = [];
+  var b_only = [];
+
+  checkSorted(a);
+  checkSorted(b);
+
+  while (i_a < a.length && i_b < b.length) {
+    if (a[i_a] === b[i_b]) {
+      i_a++;
+      i_b++;
+    } else if (a[i_a] < b[i_b]) {
+      a_only.push(a[i_a++]);
+    } else {
+      b_only.push(b[i_b++]);
+    }
+  }
+
+  if (i_a < a.length) a_only = a_only.concat(a.slice(i_a));
+  if (i_b < b.length) b_only = b_only.concat(b.slice(i_b));
+  return {
+    removed: a_only,
+    added: b_only
+  };
+}
+
+// Convert from wide: { colA: [1,2,3], colB: [4,5,6], ... }
+// to long: [ {colA: 1, colB: 4}, {colA: 2, colB: 5}, ... ]
+function dataframeToD3(df) {
+  var names = [];
+  var length = void 0;
+  for (var name in df) {
+    if (df.hasOwnProperty(name)) names.push(name);
+    if (_typeof(df[name]) !== "object" || typeof df[name].length === "undefined") {
+      throw new Error("All fields must be arrays");
+    } else if (typeof length !== "undefined" && length !== df[name].length) {
+      throw new Error("All fields must be arrays of the same length");
+    }
+    length = df[name].length;
+  }
+  var results = [];
+  var item = void 0;
+  for (var row = 0; row < length; row++) {
+    item = {};
+    for (var col = 0; col < names.length; col++) {
+      item[names[col]] = df[names[col]][row];
+    }
+    results.push(item);
+  }
+  return results;
+}
+
+/**
+ * Keeps track of all event listener additions/removals and lets all active
+ * listeners be removed with a single operation.
+ *
+ * @private
+ */
+
+var SubscriptionTracker = exports.SubscriptionTracker = function () {
+  function SubscriptionTracker(emitter) {
+    _classCallCheck(this, SubscriptionTracker);
+
+    this._emitter = emitter;
+    this._subs = {};
+  }
+
+  _createClass(SubscriptionTracker, [{
+    key: "on",
+    value: function on(eventType, listener) {
+      var sub = this._emitter.on(eventType, listener);
+      this._subs[sub] = eventType;
+      return sub;
+    }
+  }, {
+    key: "off",
+    value: function off(eventType, listener) {
+      var sub = this._emitter.off(eventType, listener);
+      if (sub) {
+        delete this._subs[sub];
+      }
+      return sub;
+    }
+  }, {
+    key: "removeAllListeners",
+    value: function removeAllListeners() {
+      var _this = this;
+
+      var current_subs = this._subs;
+      this._subs = {};
+      Object.keys(current_subs).forEach(function (sub) {
+        _this._emitter.off(current_subs[sub], sub);
+      });
+    }
+  }]);
+
+  return SubscriptionTracker;
+}();
+
+},{}],12:[function(require,module,exports){
+(function (global){
+"use strict";
+
+Object.defineProperty(exports, "__esModule", {
+  value: true
+});
+
+var _typeof = typeof Symbol === "function" && typeof Symbol.iterator === "symbol" ? function (obj) { return typeof obj; } : function (obj) { return obj && typeof Symbol === "function" && obj.constructor === Symbol && obj !== Symbol.prototype ? "symbol" : typeof obj; };
+
+var _createClass = function () { function defineProperties(target, props) { for (var i = 0; i < props.length; i++) { var descriptor = props[i]; descriptor.enumerable = descriptor.enumerable || false; descriptor.configurable = true; if ("value" in descriptor) descriptor.writable = true; Object.defineProperty(target, descriptor.key, descriptor); } } return function (Constructor, protoProps, staticProps) { if (protoProps) defineProperties(Constructor.prototype, protoProps); if (staticProps) defineProperties(Constructor, staticProps); return Constructor; }; }();
+
+var _events = require("./events");
+
+var _events2 = _interopRequireDefault(_events);
+
+function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; }
+
+function _classCallCheck(instance, Constructor) { if (!(instance instanceof Constructor)) { throw new TypeError("Cannot call a class as a function"); } }
+
+var Var = function () {
+  function Var(group, name, /*optional*/value) {
+    _classCallCheck(this, Var);
+
+    this._group = group;
+    this._name = name;
+    this._value = value;
+    this._events = new _events2.default();
+  }
+
+  _createClass(Var, [{
+    key: "get",
+    value: function get() {
+      return this._value;
+    }
+  }, {
+    key: "set",
+    value: function set(value, /*optional*/event) {
+      if (this._value === value) {
+        // Do nothing; the value hasn't changed
+        return;
+      }
+      var oldValue = this._value;
+      this._value = value;
+      // Alert JavaScript listeners that the value has changed
+      var evt = {};
+      if (event && (typeof event === "undefined" ? "undefined" : _typeof(event)) === "object") {
+        for (var k in event) {
+          if (event.hasOwnProperty(k)) evt[k] = event[k];
+        }
+      }
+      evt.oldValue = oldValue;
+      evt.value = value;
+      this._events.trigger("change", evt, this);
+
+      // TODO: Make this extensible, to let arbitrary back-ends know that
+      // something has changed
+      if (global.Shiny && global.Shiny.onInputChange) {
+        global.Shiny.onInputChange(".clientValue-" + (this._group.name !== null ? this._group.name + "-" : "") + this._name, typeof value === "undefined" ? null : value);
+      }
+    }
+  }, {
+    key: "on",
+    value: function on(eventType, listener) {
+      return this._events.on(eventType, listener);
+    }
+  }, {
+    key: "off",
+    value: function off(eventType, listener) {
+      return this._events.off(eventType, listener);
+    }
+  }]);
+
+  return Var;
+}();
+
+exports.default = Var;
+
+}).call(this,typeof global !== "undefined" ? global : typeof self !== "undefined" ? self : typeof window !== "undefined" ? window : {})
+
+},{"./events":1}]},{},[5])
+//# sourceMappingURL=crosstalk.js.map
diff --git a/docs/articles/cohort_dynamics_and_diffusion_files/crosstalk-1.2.2/js/crosstalk.js.map b/docs/articles/cohort_dynamics_and_diffusion_files/crosstalk-1.2.2/js/crosstalk.js.map
new file mode 100644
index 000000000..cff94f089
--- /dev/null
+++ b/docs/articles/cohort_dynamics_and_diffusion_files/crosstalk-1.2.2/js/crosstalk.js.map
@@ -0,0 +1,37 @@
+{
+  "version": 3,
+  "sources": [
+    "node_modules/browser-pack/_prelude.js",
+    "javascript/src/events.js",
+    "javascript/src/filter.js",
+    "javascript/src/filterset.js",
+    "javascript/src/group.js",
+    "javascript/src/index.js",
+    "javascript/src/input.js",
+    "javascript/src/input_checkboxgroup.js",
+    "javascript/src/input_selectize.js",
+    "javascript/src/input_slider.js",
+    "javascript/src/selection.js",
+    "javascript/src/util.js",
+    "javascript/src/var.js"
+  ],
+  "names": [],
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+  "file": "generated.js",
+  "sourceRoot": "",
+  "sourcesContent": [
+    "(function(){function e(t,n,r){function s(o,u){if(!n[o]){if(!t[o]){var a=typeof require==\"function\"&&require;if(!u&&a)return a(o,!0);if(i)return i(o,!0);var f=new Error(\"Cannot find module '\"+o+\"'\");throw f.code=\"MODULE_NOT_FOUND\",f}var l=n[o]={exports:{}};t[o][0].call(l.exports,function(e){var n=t[o][1][e];return s(n?n:e)},l,l.exports,e,t,n,r)}return n[o].exports}var i=typeof require==\"function\"&&require;for(var o=0;o<r.length;o++)s(r[o]);return s}return e})()",
+    "export default class Events {\n  constructor() {\n    this._types = {};\n    this._seq = 0;\n  }\n\n  on(eventType, listener) {\n    let subs = this._types[eventType];\n    if (!subs) {\n      subs = this._types[eventType] = {};\n    }\n    let sub = \"sub\" + (this._seq++);\n    subs[sub] = listener;\n    return sub;\n  }\n\n  // Returns false if no match, or string for sub name if matched\n  off(eventType, listener) {\n    let subs = this._types[eventType];\n    if (typeof(listener) === \"function\") {\n      for (let key in subs) {\n        if (subs.hasOwnProperty(key)) {\n          if (subs[key] === listener) {\n            delete subs[key];\n            return key;\n          }\n        }\n      }\n      return false;\n    } else if (typeof(listener) === \"string\") {\n      if (subs && subs[listener]) {\n        delete subs[listener];\n        return listener;\n      }\n      return false;\n    } else {\n      throw new Error(\"Unexpected type for listener\");\n    }\n  }\n\n  trigger(eventType, arg, thisObj) {\n    let subs = this._types[eventType];\n    for (let key in subs) {\n      if (subs.hasOwnProperty(key)) {\n        subs[key].call(thisObj, arg);\n      }\n    }\n  }\n}\n",
+    "import Events from \"./events\";\nimport FilterSet from \"./filterset\";\nimport grp from \"./group\";\nimport * as util from \"./util\";\n\nfunction getFilterSet(group) {\n  let fsVar = group.var(\"filterset\");\n  let result = fsVar.get();\n  if (!result) {\n    result = new FilterSet();\n    fsVar.set(result);\n  }\n  return result;\n}\n\nlet id = 1;\nfunction nextId() {\n  return id++;\n}\n\n/**\n * Use this class to contribute to, and listen for changes to, the filter set\n * for the given group of widgets. Filter input controls should create one\n * `FilterHandle` and only call {@link FilterHandle#set}. Output widgets that\n * wish to displayed filtered data should create one `FilterHandle` and use\n * the {@link FilterHandle#filteredKeys} property and listen for change\n * events.\n *\n * If two (or more) `FilterHandle` instances in the same webpage share the\n * same group name, they will contribute to a single \"filter set\". Each\n * `FilterHandle` starts out with a `null` value, which means they take\n * nothing away from the set of data that should be shown. To make a\n * `FilterHandle` actually remove data from the filter set, set its value to\n * an array of keys which should be displayed. Crosstalk will aggregate the\n * various key arrays by finding their intersection; only keys that are\n * present in all non-null filter handles are considered part of the filter\n * set.\n *\n * @param {string} [group] - The name of the Crosstalk group, or if none,\n *   null or undefined (or any other falsy value). This can be changed later\n *   via the {@link FilterHandle#setGroup} method.\n * @param {Object} [extraInfo] - An object whose properties will be copied to\n *   the event object whenever an event is emitted.\n */\nexport class FilterHandle {\n  constructor(group, extraInfo) {\n    this._eventRelay = new Events();\n    this._emitter = new util.SubscriptionTracker(this._eventRelay);\n\n    // Name of the group we're currently tracking, if any. Can change over time.\n    this._group = null;\n    // The filterSet that we're tracking, if any. Can change over time.\n    this._filterSet = null;\n    // The Var we're currently tracking, if any. Can change over time.\n    this._filterVar = null;\n    // The event handler subscription we currently have on var.on(\"change\").\n    this._varOnChangeSub = null;\n\n    this._extraInfo = util.extend({ sender: this }, extraInfo);\n\n    this._id = \"filter\" + nextId();\n\n    this.setGroup(group);\n  }\n\n  /**\n   * Changes the Crosstalk group membership of this FilterHandle. If `set()` was\n   * previously called on this handle, switching groups will clear those keys\n   * from the old group's filter set. These keys will not be applied to the new\n   * group's filter set either. In other words, `setGroup()` effectively calls\n   * `clear()` before switching groups.\n   *\n   * @param {string} group - The name of the Crosstalk group, or null (or\n   *   undefined) to clear the group.\n   */\n  setGroup(group) {\n    // If group is unchanged, do nothing\n    if (this._group === group)\n      return;\n    // Treat null, undefined, and other falsy values the same\n    if (!this._group && !group)\n      return;\n\n    if (this._filterVar) {\n      this._filterVar.off(\"change\", this._varOnChangeSub);\n      this.clear();\n      this._varOnChangeSub = null;\n      this._filterVar = null;\n      this._filterSet = null;\n    }\n\n    this._group = group;\n\n    if (group) {\n      group = grp(group);\n      this._filterSet = getFilterSet(group);\n      this._filterVar = grp(group).var(\"filter\");\n      let sub = this._filterVar.on(\"change\", (e) => {\n        this._eventRelay.trigger(\"change\", e, this);\n      });\n      this._varOnChangeSub = sub;\n    }\n  }\n\n  /**\n   * Combine the given `extraInfo` (if any) with the handle's default\n   * `_extraInfo` (if any).\n   * @private\n   */\n  _mergeExtraInfo(extraInfo) {\n    return util.extend({},\n      this._extraInfo ? this._extraInfo : null,\n      extraInfo ? extraInfo : null);\n  }\n\n  /**\n   * Close the handle. This clears this handle's contribution to the filter set,\n   * and unsubscribes all event listeners.\n   */\n  close() {\n    this._emitter.removeAllListeners();\n    this.clear();\n    this.setGroup(null);\n  }\n\n  /**\n   * Clear this handle's contribution to the filter set.\n   *\n   * @param {Object} [extraInfo] - Extra properties to be included on the event\n   *   object that's passed to listeners (in addition to any options that were\n   *   passed into the `FilterHandle` constructor).\n   * \n   * @fires FilterHandle#change\n   */\n  clear(extraInfo) {\n    if (!this._filterSet)\n      return;\n    this._filterSet.clear(this._id);\n    this._onChange(extraInfo);\n  }\n\n  /**\n   * Set this handle's contribution to the filter set. This array should consist\n   * of the keys of the rows that _should_ be displayed; any keys that are not\n   * present in the array will be considered _filtered out_. Note that multiple\n   * `FilterHandle` instances in the group may each contribute an array of keys,\n   * and only those keys that appear in _all_ of the arrays make it through the\n   * filter.\n   *\n   * @param {string[]} keys - Empty array, or array of keys. To clear the\n   *   filter, don't pass an empty array; instead, use the\n   *   {@link FilterHandle#clear} method.\n   * @param {Object} [extraInfo] - Extra properties to be included on the event\n   *   object that's passed to listeners (in addition to any options that were\n   *   passed into the `FilterHandle` constructor).\n   * \n   * @fires FilterHandle#change\n   */\n  set(keys, extraInfo) {\n    if (!this._filterSet)\n      return;\n    this._filterSet.update(this._id, keys);\n    this._onChange(extraInfo);\n  }\n\n  /**\n   * @return {string[]|null} - Either: 1) an array of keys that made it through\n   *   all of the `FilterHandle` instances, or, 2) `null`, which means no filter\n   *   is being applied (all data should be displayed).\n   */\n  get filteredKeys() {\n    return this._filterSet ? this._filterSet.value : null;\n  }\n\n  /**\n   * Subscribe to events on this `FilterHandle`.\n   *\n   * @param {string} eventType - Indicates the type of events to listen to.\n   *   Currently, only `\"change\"` is supported.\n   * @param {FilterHandle~listener} listener - The callback function that\n   *   will be invoked when the event occurs.\n   * @return {string} - A token to pass to {@link FilterHandle#off} to cancel\n   *   this subscription.\n   */\n  on(eventType, listener) {\n    return this._emitter.on(eventType, listener);\n  }\n\n  /**\n   * Cancel event subscriptions created by {@link FilterHandle#on}.\n   *\n   * @param {string} eventType - The type of event to unsubscribe.\n   * @param {string|FilterHandle~listener} listener - Either the callback\n   *   function previously passed into {@link FilterHandle#on}, or the\n   *   string that was returned from {@link FilterHandle#on}.\n   */\n  off(eventType, listener) {\n    return this._emitter.off(eventType, listener);\n  }\n\n  _onChange(extraInfo) {\n    if (!this._filterSet)\n      return;\n    this._filterVar.set(this._filterSet.value, this._mergeExtraInfo(extraInfo));\n  }\n\n  /**\n   * @callback FilterHandle~listener\n   * @param {Object} event - An object containing details of the event. For\n   *   `\"change\"` events, this includes the properties `value` (the new\n   *   value of the filter set, or `null` if no filter set is active),\n   *   `oldValue` (the previous value of the filter set), and `sender` (the\n   *   `FilterHandle` instance that made the change).\n   */\n\n}\n\n/**\n * @event FilterHandle#change\n * @type {object}\n * @property {object} value - The new value of the filter set, or `null`\n *   if no filter set is active.\n * @property {object} oldValue - The previous value of the filter set.\n * @property {FilterHandle} sender - The `FilterHandle` instance that\n *   changed the value.\n */\n",
+    "import { diffSortedLists } from \"./util\";\n\nfunction naturalComparator(a, b) {\n  if (a === b) {\n    return 0;\n  } else if (a < b) {\n    return -1;\n  } else if (a > b) {\n    return 1;\n  }\n}\n\n/**\n * @private\n */\nexport default class FilterSet {\n  constructor() {\n    this.reset();\n  }\n\n  reset() {\n    // Key: handle ID, Value: array of selected keys, or null\n    this._handles = {};\n    // Key: key string, Value: count of handles that include it\n    this._keys = {};\n    this._value = null;\n    this._activeHandles = 0;\n  }\n\n  get value() {\n    return this._value;\n  }\n\n  update(handleId, keys) {\n    if (keys !== null) {\n      keys = keys.slice(0); // clone before sorting\n      keys.sort(naturalComparator);\n    }\n\n    let {added, removed} = diffSortedLists(this._handles[handleId], keys);\n    this._handles[handleId] = keys;\n\n    for (let i = 0; i < added.length; i++) {\n      this._keys[added[i]] = (this._keys[added[i]] || 0) + 1;\n    }\n    for (let i = 0; i < removed.length; i++) {\n      this._keys[removed[i]]--;\n    }\n\n    this._updateValue(keys);\n  }\n\n  /**\n   * @param {string[]} keys Sorted array of strings that indicate\n   * a superset of possible keys.\n   * @private\n   */\n  _updateValue(keys = this._allKeys) {\n    let handleCount = Object.keys(this._handles).length;\n    if (handleCount === 0) {\n      this._value = null;\n    } else {\n      this._value = [];\n      for (let i = 0; i < keys.length; i++) {\n        let count = this._keys[keys[i]];\n        if (count === handleCount) {\n          this._value.push(keys[i]);\n        }\n      }\n    }\n  }\n\n  clear(handleId) {\n    if (typeof(this._handles[handleId]) === \"undefined\") {\n      return;\n    }\n\n    let keys = this._handles[handleId];\n    if (!keys) {\n      keys = [];\n    }\n\n    for (let i = 0; i < keys.length; i++) {\n      this._keys[keys[i]]--;\n    }\n    delete this._handles[handleId];\n\n    this._updateValue();\n  }\n\n  get _allKeys() {\n    let allKeys = Object.keys(this._keys);\n    allKeys.sort(naturalComparator);\n    return allKeys;\n  }\n}\n",
+    "import Var from \"./var\";\n\n// Use a global so that multiple copies of crosstalk.js can be loaded and still\n// have groups behave as singletons across all copies.\nglobal.__crosstalk_groups = global.__crosstalk_groups || {};\nlet groups = global.__crosstalk_groups;\n\nexport default function group(groupName) {\n  if (groupName && typeof(groupName) === \"string\") {\n    if (!groups.hasOwnProperty(groupName)) {\n      groups[groupName] = new Group(groupName);\n    }\n    return groups[groupName];\n  } else if (typeof(groupName) === \"object\" && groupName._vars && groupName.var) {\n    // Appears to already be a group object\n    return groupName;\n  } else if (Array.isArray(groupName) &&\n      groupName.length == 1 &&\n      typeof(groupName[0]) === \"string\") {\n    return group(groupName[0]);\n  } else {\n    throw new Error(\"Invalid groupName argument\");\n  }\n}\n\nclass Group {\n  constructor(name) {\n    this.name = name;\n    this._vars = {};\n  }\n\n  var(name) {\n    if (!name || typeof(name) !== \"string\") {\n      throw new Error(\"Invalid var name\");\n    }\n\n    if (!this._vars.hasOwnProperty(name))\n      this._vars[name] = new Var(this, name);\n    return this._vars[name];\n  }\n\n  has(name) {\n    if (!name || typeof(name) !== \"string\") {\n      throw new Error(\"Invalid var name\");\n    }\n\n    return this._vars.hasOwnProperty(name);\n  }\n}\n",
+    "import group from \"./group\";\nimport { SelectionHandle } from \"./selection\";\nimport { FilterHandle } from \"./filter\";\nimport { bind } from \"./input\";\nimport \"./input_selectize\";\nimport \"./input_checkboxgroup\";\nimport \"./input_slider\";\n\nconst defaultGroup = group(\"default\");\n\nfunction var_(name) {\n  return defaultGroup.var(name);\n}\n\nfunction has(name) {\n  return defaultGroup.has(name);\n}\n\nif (global.Shiny) {\n  global.Shiny.addCustomMessageHandler(\"update-client-value\", function(message) {\n    if (typeof(message.group) === \"string\") {\n      group(message.group).var(message.name).set(message.value);\n    } else {\n      var_(message.name).set(message.value);\n    }\n  });\n}\n\nconst crosstalk = {\n  group: group,\n  var: var_,\n  has: has,\n  SelectionHandle: SelectionHandle,\n  FilterHandle: FilterHandle,\n  bind: bind\n};\n\n/**\n * @namespace crosstalk\n */\nexport default crosstalk;\nglobal.crosstalk = crosstalk;\n",
+    "let $ = global.jQuery;\n\nlet bindings = {};\n\nexport function register(reg) {\n  bindings[reg.className] = reg;\n  if (global.document && global.document.readyState !== \"complete\") {\n    $(() => {\n      bind();\n    });\n  } else if (global.document) {\n    setTimeout(bind, 100);\n  }\n}\n\nexport function bind() {\n  Object.keys(bindings).forEach(function(className) {\n    let binding = bindings[className];\n    $(\".\" + binding.className).not(\".crosstalk-input-bound\").each(function(i, el) {\n      bindInstance(binding, el);\n    });\n  });\n}\n\n// Escape jQuery identifier\nfunction $escape(val) {\n  return val.replace(/([!\"#$%&'()*+,./:;<=>?@[\\\\\\]^`{|}~])/g, \"\\\\$1\");\n}\n\nfunction bindEl(el) {\n  let $el = $(el);\n  Object.keys(bindings).forEach(function(className) {\n    if ($el.hasClass(className) && !$el.hasClass(\"crosstalk-input-bound\")) {\n      let binding = bindings[className];\n      bindInstance(binding, el);\n    }\n  });\n}\n\nfunction bindInstance(binding, el) {\n  let jsonEl = $(el).find(\"script[type='application/json'][data-for='\" + $escape(el.id) + \"']\");\n  let data = JSON.parse(jsonEl[0].innerText);\n\n  let instance = binding.factory(el, data);\n  $(el).data(\"crosstalk-instance\", instance);\n  $(el).addClass(\"crosstalk-input-bound\");\n}\n\nif (global.Shiny) {\n  let inputBinding = new global.Shiny.InputBinding();\n  let $ = global.jQuery;\n  $.extend(inputBinding, {\n    find: function(scope) {\n      return $(scope).find(\".crosstalk-input\");\n    },\n    initialize: function(el) {\n      if (!$(el).hasClass(\"crosstalk-input-bound\")) {\n        bindEl(el);\n      }\n    },\n    getId: function(el) {\n      return el.id;\n    },\n    getValue: function(el) {\n\n    },\n    setValue: function(el, value) {\n\n    },\n    receiveMessage: function(el, data) {\n\n    },\n    subscribe: function(el, callback) {\n      $(el).data(\"crosstalk-instance\").resume();\n    },\n    unsubscribe: function(el) {\n      $(el).data(\"crosstalk-instance\").suspend();\n    }\n  });\n  global.Shiny.inputBindings.register(inputBinding, \"crosstalk.inputBinding\");\n}\n",
+    "import * as input from \"./input\";\nimport { FilterHandle } from \"./filter\";\n\nlet $ = global.jQuery;\n\ninput.register({\n  className: \"crosstalk-input-checkboxgroup\",\n\n  factory: function(el, data) {\n    /*\n     * map: {\"groupA\": [\"keyA\", \"keyB\", ...], ...}\n     * group: \"ct-groupname\"\n     */\n    let ctHandle = new FilterHandle(data.group);\n\n    let lastKnownKeys;\n    let $el = $(el);\n    $el.on(\"change\", \"input[type='checkbox']\", function() {\n      let checked = $el.find(\"input[type='checkbox']:checked\");\n      if (checked.length === 0) {\n        lastKnownKeys = null;\n        ctHandle.clear();\n      } else {\n        let keys = {};\n        checked.each(function() {\n          data.map[this.value].forEach(function(key) {\n            keys[key] = true;\n          });\n        });\n        let keyArray = Object.keys(keys);\n        keyArray.sort();\n        lastKnownKeys = keyArray;\n        ctHandle.set(keyArray);\n      }\n    });\n\n    return {\n      suspend: function() {\n        ctHandle.clear();\n      },\n      resume: function() {\n        if (lastKnownKeys)\n          ctHandle.set(lastKnownKeys);\n      }\n    };\n  }\n});\n",
+    "import * as input from \"./input\";\nimport * as util from \"./util\";\nimport { FilterHandle } from \"./filter\";\n\nlet $ = global.jQuery;\n\ninput.register({\n  className: \"crosstalk-input-select\",\n\n  factory: function(el, data) {\n    /*\n     * items: {value: [...], label: [...]}\n     * map: {\"groupA\": [\"keyA\", \"keyB\", ...], ...}\n     * group: \"ct-groupname\"\n     */\n\n    let first = [{value: \"\", label: \"(All)\"}];\n    let items = util.dataframeToD3(data.items);\n    let opts = {\n      options: first.concat(items),\n      valueField: \"value\",\n      labelField: \"label\",\n      searchField: \"label\"\n    };\n\n    let select = $(el).find(\"select\")[0];\n\n    let selectize = $(select).selectize(opts)[0].selectize;\n\n    let ctHandle = new FilterHandle(data.group);\n\n    let lastKnownKeys;\n    selectize.on(\"change\", function() {\n      if (selectize.items.length === 0) {\n        lastKnownKeys = null;\n        ctHandle.clear();\n      } else {\n        let keys = {};\n        selectize.items.forEach(function(group) {\n          data.map[group].forEach(function(key) {\n            keys[key] = true;\n          });\n        });\n        let keyArray = Object.keys(keys);\n        keyArray.sort();\n        lastKnownKeys = keyArray;\n        ctHandle.set(keyArray);\n      }\n    });\n\n    return {\n      suspend: function() {\n        ctHandle.clear();\n      },\n      resume: function() {\n        if (lastKnownKeys)\n          ctHandle.set(lastKnownKeys);\n      }\n    };\n  }\n});\n",
+    "import * as input from \"./input\";\nimport { FilterHandle } from \"./filter\";\n\nlet $ = global.jQuery;\nlet strftime = global.strftime;\n\ninput.register({\n  className: \"crosstalk-input-slider\",\n\n  factory: function(el, data) {\n    /*\n     * map: {\"groupA\": [\"keyA\", \"keyB\", ...], ...}\n     * group: \"ct-groupname\"\n     */\n    let ctHandle = new FilterHandle(data.group);\n\n    let opts = {};\n    let $el = $(el).find(\"input\");\n    let dataType = $el.data(\"data-type\");\n    let timeFormat = $el.data(\"time-format\");\n    let round = $el.data(\"round\");\n    let timeFormatter;\n\n    // Set up formatting functions\n    if (dataType === \"date\") {\n      timeFormatter = strftime.utc();\n      opts.prettify = function(num) {\n        return timeFormatter(timeFormat, new Date(num));\n      };\n\n    } else if (dataType === \"datetime\") {\n      let timezone = $el.data(\"timezone\");\n      if (timezone)\n        timeFormatter = strftime.timezone(timezone);\n      else\n        timeFormatter = strftime;\n\n      opts.prettify = function(num) {\n        return timeFormatter(timeFormat, new Date(num));\n      };\n    } else if (dataType === \"number\") {\n      if (typeof round !== \"undefined\")\n        opts.prettify = function(num) {\n          let factor = Math.pow(10, round);\n          return Math.round(num * factor) / factor;\n        };\n    }\n\n    $el.ionRangeSlider(opts);\n\n    function getValue() {\n      let result = $el.data(\"ionRangeSlider\").result;\n\n      // Function for converting numeric value from slider to appropriate type.\n      let convert;\n      let dataType = $el.data(\"data-type\");\n      if (dataType === \"date\") {\n        convert = function(val) {\n          return formatDateUTC(new Date(+val));\n        };\n      } else if (dataType === \"datetime\") {\n        convert = function(val) {\n          // Convert ms to s\n          return +val / 1000;\n        };\n      } else {\n        convert = function(val) { return +val; };\n      }\n\n      if ($el.data(\"ionRangeSlider\").options.type === \"double\") {\n        return [convert(result.from), convert(result.to)];\n      } else {\n        return convert(result.from);\n      }\n    }\n\n    let lastKnownKeys = null;\n\n    $el.on(\"change.crosstalkSliderInput\", function(event) {\n      if (!$el.data(\"updating\") && !$el.data(\"animating\")) {\n        let [from, to] = getValue();\n        let keys = [];\n        for (let i = 0; i < data.values.length; i++) {\n          let val = data.values[i];\n          if (val >= from && val <= to) {\n            keys.push(data.keys[i]);\n          }\n        }\n        keys.sort();\n        ctHandle.set(keys);\n        lastKnownKeys = keys;\n      }\n    });\n\n\n    // let $el = $(el);\n    // $el.on(\"change\", \"input[type=\"checkbox\"]\", function() {\n    //   let checked = $el.find(\"input[type=\"checkbox\"]:checked\");\n    //   if (checked.length === 0) {\n    //     ctHandle.clear();\n    //   } else {\n    //     let keys = {};\n    //     checked.each(function() {\n    //       data.map[this.value].forEach(function(key) {\n    //         keys[key] = true;\n    //       });\n    //     });\n    //     let keyArray = Object.keys(keys);\n    //     keyArray.sort();\n    //     ctHandle.set(keyArray);\n    //   }\n    // });\n\n    return {\n      suspend: function() {\n        ctHandle.clear();\n      },\n      resume: function() {\n        if (lastKnownKeys)\n          ctHandle.set(lastKnownKeys);\n      }\n    };\n  }\n});\n\n\n// Convert a number to a string with leading zeros\nfunction padZeros(n, digits) {\n  let str = n.toString();\n  while (str.length < digits)\n    str = \"0\" + str;\n  return str;\n}\n\n// Given a Date object, return a string in yyyy-mm-dd format, using the\n// UTC date. This may be a day off from the date in the local time zone.\nfunction formatDateUTC(date) {\n  if (date instanceof Date) {\n    return date.getUTCFullYear() + \"-\" +\n           padZeros(date.getUTCMonth()+1, 2) + \"-\" +\n           padZeros(date.getUTCDate(), 2);\n\n  } else {\n    return null;\n  }\n}\n",
+    "import Events from \"./events\";\nimport grp from \"./group\";\nimport * as util from \"./util\";\n\n/**\n * Use this class to read and write (and listen for changes to) the selection\n * for a Crosstalk group. This is intended to be used for linked brushing.\n *\n * If two (or more) `SelectionHandle` instances in the same webpage share the\n * same group name, they will share the same state. Setting the selection using\n * one `SelectionHandle` instance will result in the `value` property instantly\n * changing across the others, and `\"change\"` event listeners on all instances\n * (including the one that initiated the sending) will fire.\n *\n * @param {string} [group] - The name of the Crosstalk group, or if none,\n *   null or undefined (or any other falsy value). This can be changed later\n *   via the [SelectionHandle#setGroup](#setGroup) method.\n * @param {Object} [extraInfo] - An object whose properties will be copied to\n *   the event object whenever an event is emitted.\n */\nexport class SelectionHandle {\n\n  constructor(group = null, extraInfo = null) {\n    this._eventRelay = new Events();\n    this._emitter = new util.SubscriptionTracker(this._eventRelay);\n\n    // Name of the group we're currently tracking, if any. Can change over time.\n    this._group = null;\n    // The Var we're currently tracking, if any. Can change over time.\n    this._var = null;\n    // The event handler subscription we currently have on var.on(\"change\").\n    this._varOnChangeSub = null;\n\n    this._extraInfo = util.extend({ sender: this }, extraInfo);\n\n    this.setGroup(group);\n  }\n\n  /**\n   * Changes the Crosstalk group membership of this SelectionHandle. The group\n   * being switched away from (if any) will not have its selection value\n   * modified as a result of calling `setGroup`, even if this handle was the\n   * most recent handle to set the selection of the group.\n   *\n   * The group being switched to (if any) will also not have its selection value\n   * modified as a result of calling `setGroup`. If you want to set the\n   * selection value of the new group, call `set` explicitly.\n   *\n   * @param {string} group - The name of the Crosstalk group, or null (or\n   *   undefined) to clear the group.\n   */\n  setGroup(group) {\n    // If group is unchanged, do nothing\n    if (this._group === group)\n      return;\n    // Treat null, undefined, and other falsy values the same\n    if (!this._group && !group)\n      return;\n\n    if (this._var) {\n      this._var.off(\"change\", this._varOnChangeSub);\n      this._var = null;\n      this._varOnChangeSub = null;\n    }\n\n    this._group = group;\n\n    if (group) {\n      this._var = grp(group).var(\"selection\");\n      let sub = this._var.on(\"change\", (e) => {\n        this._eventRelay.trigger(\"change\", e, this);\n      });\n      this._varOnChangeSub = sub;\n    }\n  }\n\n  /**\n   * Retrieves the current selection for the group represented by this\n   * `SelectionHandle`.\n   *\n   * - If no selection is active, then this value will be falsy.\n   * - If a selection is active, but no data points are selected, then this\n   *   value will be an empty array.\n   * - If a selection is active, and data points are selected, then the keys\n   *   of the selected data points will be present in the array.\n   */\n  get value() {\n    return this._var ? this._var.get() : null;\n  }\n\n  /**\n   * Combines the given `extraInfo` (if any) with the handle's default\n   * `_extraInfo` (if any).\n   * @private\n   */\n  _mergeExtraInfo(extraInfo) {\n    // Important incidental effect: shallow clone is returned\n    return util.extend({},\n      this._extraInfo ? this._extraInfo : null,\n      extraInfo ? extraInfo : null);\n  }\n\n  /**\n   * Overwrites the current selection for the group, and raises the `\"change\"`\n   * event among all of the group's '`SelectionHandle` instances (including\n   * this one).\n   *\n   * @fires SelectionHandle#change\n   * @param {string[]} selectedKeys - Falsy, empty array, or array of keys (see\n   *   {@link SelectionHandle#value}).\n   * @param {Object} [extraInfo] - Extra properties to be included on the event\n   *   object that's passed to listeners (in addition to any options that were\n   *   passed into the `SelectionHandle` constructor).\n   */\n  set(selectedKeys, extraInfo) {\n    if (this._var)\n      this._var.set(selectedKeys, this._mergeExtraInfo(extraInfo));\n  }\n\n  /**\n   * Overwrites the current selection for the group, and raises the `\"change\"`\n   * event among all of the group's '`SelectionHandle` instances (including\n   * this one).\n   *\n   * @fires SelectionHandle#change\n   * @param {Object} [extraInfo] - Extra properties to be included on the event\n   *   object that's passed to listeners (in addition to any that were passed\n   *   into the `SelectionHandle` constructor).\n   */\n  clear(extraInfo) {\n    if (this._var)\n      this.set(void 0, this._mergeExtraInfo(extraInfo));\n  }\n\n  /**\n   * Subscribes to events on this `SelectionHandle`.\n   *\n   * @param {string} eventType - Indicates the type of events to listen to.\n   *   Currently, only `\"change\"` is supported.\n   * @param {SelectionHandle~listener} listener - The callback function that\n   *   will be invoked when the event occurs.\n   * @return {string} - A token to pass to {@link SelectionHandle#off} to cancel\n   *   this subscription.\n   */\n  on(eventType, listener) {\n    return this._emitter.on(eventType, listener);\n  }\n\n  /**\n   * Cancels event subscriptions created by {@link SelectionHandle#on}.\n   *\n   * @param {string} eventType - The type of event to unsubscribe.\n   * @param {string|SelectionHandle~listener} listener - Either the callback\n   *   function previously passed into {@link SelectionHandle#on}, or the\n   *   string that was returned from {@link SelectionHandle#on}.\n   */\n  off(eventType, listener) {\n    return this._emitter.off(eventType, listener);\n  }\n\n  /**\n   * Shuts down the `SelectionHandle` object.\n   *\n   * Removes all event listeners that were added through this handle.\n   */\n  close() {\n    this._emitter.removeAllListeners();\n    this.setGroup(null);\n  }\n}\n\n/**\n * @callback SelectionHandle~listener\n * @param {Object} event - An object containing details of the event. For\n *   `\"change\"` events, this includes the properties `value` (the new\n *   value of the selection, or `undefined` if no selection is active),\n *   `oldValue` (the previous value of the selection), and `sender` (the\n *   `SelectionHandle` instance that made the change).\n */\n\n/**\n * @event SelectionHandle#change\n * @type {object}\n * @property {object} value - The new value of the selection, or `undefined`\n *   if no selection is active.\n * @property {object} oldValue - The previous value of the selection.\n * @property {SelectionHandle} sender - The `SelectionHandle` instance that\n *   changed the value.\n */\n",
+    "export function extend(target, ...sources) {\n  for (let i = 0; i < sources.length; i++) {\n    let src = sources[i];\n    if (typeof(src) === \"undefined\" || src === null)\n      continue;\n\n    for (let key in src) {\n      if (src.hasOwnProperty(key)) {\n        target[key] = src[key];\n      }\n    }\n  }\n  return target;\n}\n\nexport function checkSorted(list) {\n  for (let i = 1; i < list.length; i++) {\n    if (list[i] <= list[i-1]) {\n      throw new Error(\"List is not sorted or contains duplicate\");\n    }\n  }\n}\n\nexport function diffSortedLists(a, b) {\n  let i_a = 0;\n  let i_b = 0;\n\n  if (!a) a = [];\n  if (!b) b = [];\n\n  let a_only = [];\n  let b_only = [];\n\n  checkSorted(a);\n  checkSorted(b);\n\n  while (i_a < a.length && i_b < b.length) {\n    if (a[i_a] === b[i_b]) {\n      i_a++;\n      i_b++;\n    } else if (a[i_a] < b[i_b]) {\n      a_only.push(a[i_a++]);\n    } else {\n      b_only.push(b[i_b++]);\n    }\n  }\n\n  if (i_a < a.length)\n    a_only = a_only.concat(a.slice(i_a));\n  if (i_b < b.length)\n    b_only = b_only.concat(b.slice(i_b));\n  return {\n    removed: a_only,\n    added: b_only\n  };\n}\n\n// Convert from wide: { colA: [1,2,3], colB: [4,5,6], ... }\n// to long: [ {colA: 1, colB: 4}, {colA: 2, colB: 5}, ... ]\nexport function dataframeToD3(df) {\n  let names = [];\n  let length;\n  for (let name in df) {\n    if (df.hasOwnProperty(name))\n      names.push(name);\n    if (typeof(df[name]) !== \"object\" || typeof(df[name].length) === \"undefined\") {\n      throw new Error(\"All fields must be arrays\");\n    } else if (typeof(length) !== \"undefined\" && length !== df[name].length) {\n      throw new Error(\"All fields must be arrays of the same length\");\n    }\n    length = df[name].length;\n  }\n  let results = [];\n  let item;\n  for (let row = 0; row < length; row++) {\n    item = {};\n    for (let col = 0; col < names.length; col++) {\n      item[names[col]] = df[names[col]][row];\n    }\n    results.push(item);\n  }\n  return results;\n}\n\n/**\n * Keeps track of all event listener additions/removals and lets all active\n * listeners be removed with a single operation.\n *\n * @private\n */\nexport class SubscriptionTracker {\n  constructor(emitter) {\n    this._emitter = emitter;\n    this._subs = {};\n  }\n\n  on(eventType, listener) {\n    let sub = this._emitter.on(eventType, listener);\n    this._subs[sub] = eventType;\n    return sub;\n  }\n\n  off(eventType, listener) {\n    let sub = this._emitter.off(eventType, listener);\n    if (sub) {\n      delete this._subs[sub];\n    }\n    return sub;\n  }\n\n  removeAllListeners() {\n    let current_subs = this._subs;\n    this._subs = {};\n    Object.keys(current_subs).forEach((sub) => {\n      this._emitter.off(current_subs[sub], sub);\n    });\n  }\n}\n",
+    "import Events from \"./events\";\n\nexport default class Var {\n  constructor(group, name, /*optional*/ value) {\n    this._group = group;\n    this._name = name;\n    this._value = value;\n    this._events = new Events();\n  }\n\n  get() {\n    return this._value;\n  }\n\n  set(value, /*optional*/ event) {\n    if (this._value === value) {\n      // Do nothing; the value hasn't changed\n      return;\n    }\n    let oldValue = this._value;\n    this._value = value;\n    // Alert JavaScript listeners that the value has changed\n    let evt = {};\n    if (event && typeof(event) === \"object\") {\n      for (let k in event) {\n        if (event.hasOwnProperty(k))\n          evt[k] = event[k];\n      }\n    }\n    evt.oldValue = oldValue;\n    evt.value = value;\n    this._events.trigger(\"change\", evt, this);\n\n    // TODO: Make this extensible, to let arbitrary back-ends know that\n    // something has changed\n    if (global.Shiny && global.Shiny.onInputChange) {\n      global.Shiny.onInputChange(\n        \".clientValue-\" +\n          (this._group.name !== null ? this._group.name + \"-\" : \"\") +\n          this._name,\n        typeof(value) === \"undefined\" ? null : value\n      );\n    }\n  }\n\n  on(eventType, listener) {\n    return this._events.on(eventType, listener);\n  }\n\n  off(eventType, listener) {\n    return this._events.off(eventType, listener);\n  }\n}\n"
+  ]
+}
\ No newline at end of file
diff --git a/docs/articles/cohort_dynamics_and_diffusion_files/crosstalk-1.2.2/js/crosstalk.min.js b/docs/articles/cohort_dynamics_and_diffusion_files/crosstalk-1.2.2/js/crosstalk.min.js
new file mode 100644
index 000000000..b7ec0ac9f
--- /dev/null
+++ b/docs/articles/cohort_dynamics_and_diffusion_files/crosstalk-1.2.2/js/crosstalk.min.js
@@ -0,0 +1,2 @@
+!function o(u,a,l){function s(n,e){if(!a[n]){if(!u[n]){var t="function"==typeof require&&require;if(!e&&t)return t(n,!0);if(f)return f(n,!0);var r=new Error("Cannot find module '"+n+"'");throw r.code="MODULE_NOT_FOUND",r}var i=a[n]={exports:{}};u[n][0].call(i.exports,function(e){var t=u[n][1][e];return s(t||e)},i,i.exports,o,u,a,l)}return a[n].exports}for(var f="function"==typeof require&&require,e=0;e<l.length;e++)s(l[e]);return s}({1:[function(e,t,n){"use strict";Object.defineProperty(n,"__esModule",{value:!0});var r=function(){function r(e,t){for(var n=0;n<t.length;n++){var r=t[n];r.enumerable=r.enumerable||!1,r.configurable=!0,"value"in r&&(r.writable=!0),Object.defineProperty(e,r.key,r)}}return function(e,t,n){return t&&r(e.prototype,t),n&&r(e,n),e}}();var i=function(){function e(){!function(e,t){if(!(e instanceof t))throw new TypeError("Cannot call a class as a function")}(this,e),this._types={},this._seq=0}return r(e,[{key:"on",value:function(e,t){var n=this._types[e];n||(n=this._types[e]={});var r="sub"+this._seq++;return n[r]=t,r}},{key:"off",value:function(e,t){var n=this._types[e];if("function"==typeof t){for(var r in n)if(n.hasOwnProperty(r)&&n[r]===t)return delete n[r],r;return!1}if("string"==typeof t)return!(!n||!n[t])&&(delete n[t],t);throw new Error("Unexpected type for listener")}},{key:"trigger",value:function(e,t,n){var r=this._types[e];for(var i in r)r.hasOwnProperty(i)&&r[i].call(n,t)}}]),e}();n.default=i},{}],2:[function(e,t,n){"use strict";Object.defineProperty(n,"__esModule",{value:!0}),n.FilterHandle=void 0;var r=function(){function r(e,t){for(var n=0;n<t.length;n++){var r=t[n];r.enumerable=r.enumerable||!1,r.configurable=!0,"value"in r&&(r.writable=!0),Object.defineProperty(e,r.key,r)}}return function(e,t,n){return t&&r(e.prototype,t),n&&r(e,n),e}}(),i=l(e("./events")),o=l(e("./filterset")),u=l(e("./group")),a=function(e){{if(e&&e.__esModule)return e;var t={};if(null!=e)for(var n in e)Object.prototype.hasOwnProperty.call(e,n)&&(t[n]=e[n]);return t.default=e,t}}(e("./util"));function l(e){return e&&e.__esModule?e:{default:e}}var s=1;n.FilterHandle=function(){function n(e,t){!function(e,t){if(!(e instanceof t))throw new TypeError("Cannot call a class as a function")}(this,n),this._eventRelay=new i.default,this._emitter=new a.SubscriptionTracker(this._eventRelay),this._group=null,this._filterSet=null,this._filterVar=null,this._varOnChangeSub=null,this._extraInfo=a.extend({sender:this},t),this._id="filter"+s++,this.setGroup(e)}return r(n,[{key:"setGroup",value:function(e){var t,n,r=this;if(this._group!==e&&((this._group||e)&&(this._filterVar&&(this._filterVar.off("change",this._varOnChangeSub),this.clear(),this._varOnChangeSub=null,this._filterVar=null,this._filterSet=null),this._group=e))){e=(0,u.default)(e),this._filterSet=(t=e.var("filterset"),(n=t.get())||(n=new o.default,t.set(n)),n),this._filterVar=(0,u.default)(e).var("filter");var i=this._filterVar.on("change",function(e){r._eventRelay.trigger("change",e,r)});this._varOnChangeSub=i}}},{key:"_mergeExtraInfo",value:function(e){return a.extend({},this._extraInfo?this._extraInfo:null,e||null)}},{key:"close",value:function(){this._emitter.removeAllListeners(),this.clear(),this.setGroup(null)}},{key:"clear",value:function(e){this._filterSet&&(this._filterSet.clear(this._id),this._onChange(e))}},{key:"set",value:function(e,t){this._filterSet&&(this._filterSet.update(this._id,e),this._onChange(t))}},{key:"on",value:function(e,t){return this._emitter.on(e,t)}},{key:"off",value:function(e,t){return this._emitter.off(e,t)}},{key:"_onChange",value:function(e){this._filterSet&&this._filterVar.set(this._filterSet.value,this._mergeExtraInfo(e))}},{key:"filteredKeys",get:function(){return this._filterSet?this._filterSet.value:null}}]),n}()},{"./events":1,"./filterset":3,"./group":4,"./util":11}],3:[function(e,t,n){"use strict";Object.defineProperty(n,"__esModule",{value:!0});var r=function(){function r(e,t){for(var n=0;n<t.length;n++){var r=t[n];r.enumerable=r.enumerable||!1,r.configurable=!0,"value"in r&&(r.writable=!0),Object.defineProperty(e,r.key,r)}}return function(e,t,n){return t&&r(e.prototype,t),n&&r(e,n),e}}(),a=e("./util");function l(e,t){return e===t?0:e<t?-1:t<e?1:void 0}var i=function(){function e(){!function(e,t){if(!(e instanceof t))throw new TypeError("Cannot call a class as a function")}(this,e),this.reset()}return r(e,[{key:"reset",value:function(){this._handles={},this._keys={},this._value=null,this._activeHandles=0}},{key:"update",value:function(e,t){null!==t&&(t=t.slice(0)).sort(l);var n=(0,a.diffSortedLists)(this._handles[e],t),r=n.added,i=n.removed;this._handles[e]=t;for(var o=0;o<r.length;o++)this._keys[r[o]]=(this._keys[r[o]]||0)+1;for(var u=0;u<i.length;u++)this._keys[i[u]]--;this._updateValue(t)}},{key:"_updateValue",value:function(){var e=0<arguments.length&&void 0!==arguments[0]?arguments[0]:this._allKeys,t=Object.keys(this._handles).length;if(0===t)this._value=null;else{this._value=[];for(var n=0;n<e.length;n++){this._keys[e[n]]===t&&this._value.push(e[n])}}}},{key:"clear",value:function(e){if(void 0!==this._handles[e]){var t=this._handles[e];t||(t=[]);for(var n=0;n<t.length;n++)this._keys[t[n]]--;delete this._handles[e],this._updateValue()}}},{key:"value",get:function(){return this._value}},{key:"_allKeys",get:function(){var e=Object.keys(this._keys);return e.sort(l),e}}]),e}();n.default=i},{"./util":11}],4:[function(l,e,s){(function(e){"use strict";Object.defineProperty(s,"__esModule",{value:!0});var n=function(){function r(e,t){for(var n=0;n<t.length;n++){var r=t[n];r.enumerable=r.enumerable||!1,r.configurable=!0,"value"in r&&(r.writable=!0),Object.defineProperty(e,r.key,r)}}return function(e,t,n){return t&&r(e.prototype,t),n&&r(e,n),e}}(),r="function"==typeof Symbol&&"symbol"==typeof Symbol.iterator?function(e){return typeof e}:function(e){return e&&"function"==typeof Symbol&&e.constructor===Symbol&&e!==Symbol.prototype?"symbol":typeof e};s.default=function e(t){{if(t&&"string"==typeof t)return u.hasOwnProperty(t)||(u[t]=new a(t)),u[t];if("object"===(void 0===t?"undefined":r(t))&&t._vars&&t.var)return t;if(Array.isArray(t)&&1==t.length&&"string"==typeof t[0])return e(t[0]);throw new Error("Invalid groupName argument")}};var t,i=l("./var"),o=(t=i)&&t.__esModule?t:{default:t};e.__crosstalk_groups=e.__crosstalk_groups||{};var u=e.__crosstalk_groups;var a=function(){function t(e){!function(e,t){if(!(e instanceof t))throw new TypeError("Cannot call a class as a function")}(this,t),this.name=e,this._vars={}}return n(t,[{key:"var",value:function(e){if(!e||"string"!=typeof e)throw new Error("Invalid var name");return this._vars.hasOwnProperty(e)||(this._vars[e]=new o.default(this,e)),this._vars[e]}},{key:"has",value:function(e){if(!e||"string"!=typeof e)throw new Error("Invalid var name");return this._vars.hasOwnProperty(e)}}]),t}()}).call(this,"undefined"!=typeof global?global:"undefined"!=typeof self?self:"undefined"!=typeof window?window:{})},{"./var":12}],5:[function(f,e,c){(function(e){"use strict";Object.defineProperty(c,"__esModule",{value:!0});var t,n=f("./group"),r=(t=n)&&t.__esModule?t:{default:t},i=f("./selection"),o=f("./filter"),u=f("./input");f("./input_selectize"),f("./input_checkboxgroup"),f("./input_slider");var a=(0,r.default)("default");function l(e){return a.var(e)}e.Shiny&&e.Shiny.addCustomMessageHandler("update-client-value",function(e){"string"==typeof e.group?(0,r.default)(e.group).var(e.name).set(e.value):l(e.name).set(e.value)});var s={group:r.default,var:l,has:function(e){return a.has(e)},SelectionHandle:i.SelectionHandle,FilterHandle:o.FilterHandle,bind:u.bind};c.default=s,e.crosstalk=s}).call(this,"undefined"!=typeof global?global:"undefined"!=typeof self?self:"undefined"!=typeof window?window:{})},{"./filter":2,"./group":4,"./input":6,"./input_checkboxgroup":7,"./input_selectize":8,"./input_slider":9,"./selection":10}],6:[function(e,t,a){(function(t){"use strict";Object.defineProperty(a,"__esModule",{value:!0}),a.register=function(e){r[e.className]=e,t.document&&"complete"!==t.document.readyState?o(function(){n()}):t.document&&setTimeout(n,100)},a.bind=n;var o=t.jQuery,r={};function n(){Object.keys(r).forEach(function(e){var n=r[e];o("."+n.className).not(".crosstalk-input-bound").each(function(e,t){i(n,t)})})}function i(e,t){var n=o(t).find("script[type='application/json'][data-for='"+t.id.replace(/([!"#$%&'()*+,./:;<=>?@[\\\]^`{|}~])/g,"\\$1")+"']"),r=JSON.parse(n[0].innerText),i=e.factory(t,r);o(t).data("crosstalk-instance",i),o(t).addClass("crosstalk-input-bound")}if(t.Shiny){var e=new t.Shiny.InputBinding,u=t.jQuery;u.extend(e,{find:function(e){return u(e).find(".crosstalk-input")},initialize:function(e){var t,n;u(e).hasClass("crosstalk-input-bound")||(n=o(t=e),Object.keys(r).forEach(function(e){n.hasClass(e)&&!n.hasClass("crosstalk-input-bound")&&i(r[e],t)}))},getId:function(e){return e.id},getValue:function(e){},setValue:function(e,t){},receiveMessage:function(e,t){},subscribe:function(e,t){u(e).data("crosstalk-instance").resume()},unsubscribe:function(e){u(e).data("crosstalk-instance").suspend()}}),t.Shiny.inputBindings.register(e,"crosstalk.inputBinding")}}).call(this,"undefined"!=typeof global?global:"undefined"!=typeof self?self:"undefined"!=typeof window?window:{})},{}],7:[function(r,e,t){(function(e){"use strict";var t=function(e){{if(e&&e.__esModule)return e;var t={};if(null!=e)for(var n in e)Object.prototype.hasOwnProperty.call(e,n)&&(t[n]=e[n]);return t.default=e,t}}(r("./input")),n=r("./filter");var a=e.jQuery;t.register({className:"crosstalk-input-checkboxgroup",factory:function(e,r){var i=new n.FilterHandle(r.group),o=void 0,u=a(e);return 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e(t,n,r){function s(o,u){if(!n[o]){if(!t[o]){var a=typeof require==\"function\"&&require;if(!u&&a)return a(o,!0);if(i)return i(o,!0);var f=new Error(\"Cannot find module '\"+o+\"'\");throw f.code=\"MODULE_NOT_FOUND\",f}var l=n[o]={exports:{}};t[o][0].call(l.exports,function(e){var n=t[o][1][e];return s(n?n:e)},l,l.exports,e,t,n,r)}return n[o].exports}var i=typeof require==\"function\"&&require;for(var o=0;o<r.length;o++)s(r[o]);return s}return e})()","export default class Events {\n  constructor() {\n    this._types = {};\n    this._seq = 0;\n  }\n\n  on(eventType, listener) {\n    let subs = this._types[eventType];\n    if (!subs) {\n      subs = this._types[eventType] = {};\n    }\n    let sub = \"sub\" + (this._seq++);\n    subs[sub] = listener;\n    return sub;\n  }\n\n  // Returns false if no match, or string for sub name if matched\n  off(eventType, listener) {\n    let subs = this._types[eventType];\n    if (typeof(listener) === \"function\") {\n      for (let key in subs) {\n        if (subs.hasOwnProperty(key)) {\n          if (subs[key] === listener) {\n            delete subs[key];\n            return key;\n          }\n        }\n      }\n      return false;\n    } else if (typeof(listener) === \"string\") {\n      if (subs && subs[listener]) {\n        delete subs[listener];\n        return listener;\n      }\n      return false;\n    } else {\n      throw new Error(\"Unexpected type for listener\");\n    }\n  }\n\n  trigger(eventType, arg, thisObj) {\n    let subs = this._types[eventType];\n    for (let key in subs) {\n      if (subs.hasOwnProperty(key)) {\n        subs[key].call(thisObj, arg);\n      }\n    }\n  }\n}\n","import Events from \"./events\";\nimport FilterSet from \"./filterset\";\nimport grp from \"./group\";\nimport * as util from \"./util\";\n\nfunction getFilterSet(group) {\n  let fsVar = group.var(\"filterset\");\n  let result = fsVar.get();\n  if (!result) {\n    result = new FilterSet();\n    fsVar.set(result);\n  }\n  return result;\n}\n\nlet id = 1;\nfunction nextId() {\n  return id++;\n}\n\n/**\n * Use this class to contribute to, and listen for changes to, the filter set\n * for the given group of widgets. Filter input controls should create one\n * `FilterHandle` and only call {@link FilterHandle#set}. Output widgets that\n * wish to displayed filtered data should create one `FilterHandle` and use\n * the {@link FilterHandle#filteredKeys} property and listen for change\n * events.\n *\n * If two (or more) `FilterHandle` instances in the same webpage share the\n * same group name, they will contribute to a single \"filter set\". Each\n * `FilterHandle` starts out with a `null` value, which means they take\n * nothing away from the set of data that should be shown. To make a\n * `FilterHandle` actually remove data from the filter set, set its value to\n * an array of keys which should be displayed. Crosstalk will aggregate the\n * various key arrays by finding their intersection; only keys that are\n * present in all non-null filter handles are considered part of the filter\n * set.\n *\n * @param {string} [group] - The name of the Crosstalk group, or if none,\n *   null or undefined (or any other falsy value). This can be changed later\n *   via the {@link FilterHandle#setGroup} method.\n * @param {Object} [extraInfo] - An object whose properties will be copied to\n *   the event object whenever an event is emitted.\n */\nexport class FilterHandle {\n  constructor(group, extraInfo) {\n    this._eventRelay = new Events();\n    this._emitter = new util.SubscriptionTracker(this._eventRelay);\n\n    // Name of the group we're currently tracking, if any. Can change over time.\n    this._group = null;\n    // The filterSet that we're tracking, if any. Can change over time.\n    this._filterSet = null;\n    // The Var we're currently tracking, if any. Can change over time.\n    this._filterVar = null;\n    // The event handler subscription we currently have on var.on(\"change\").\n    this._varOnChangeSub = null;\n\n    this._extraInfo = util.extend({ sender: this }, extraInfo);\n\n    this._id = \"filter\" + nextId();\n\n    this.setGroup(group);\n  }\n\n  /**\n   * Changes the Crosstalk group membership of this FilterHandle. If `set()` was\n   * previously called on this handle, switching groups will clear those keys\n   * from the old group's filter set. These keys will not be applied to the new\n   * group's filter set either. In other words, `setGroup()` effectively calls\n   * `clear()` before switching groups.\n   *\n   * @param {string} group - The name of the Crosstalk group, or null (or\n   *   undefined) to clear the group.\n   */\n  setGroup(group) {\n    // If group is unchanged, do nothing\n    if (this._group === group)\n      return;\n    // Treat null, undefined, and other falsy values the same\n    if (!this._group && !group)\n      return;\n\n    if (this._filterVar) {\n      this._filterVar.off(\"change\", this._varOnChangeSub);\n      this.clear();\n      this._varOnChangeSub = null;\n      this._filterVar = null;\n      this._filterSet = null;\n    }\n\n    this._group = group;\n\n    if (group) {\n      group = grp(group);\n      this._filterSet = getFilterSet(group);\n      this._filterVar = grp(group).var(\"filter\");\n      let sub = this._filterVar.on(\"change\", (e) => {\n        this._eventRelay.trigger(\"change\", e, this);\n      });\n      this._varOnChangeSub = sub;\n    }\n  }\n\n  /**\n   * Combine the given `extraInfo` (if any) with the handle's default\n   * `_extraInfo` (if any).\n   * @private\n   */\n  _mergeExtraInfo(extraInfo) {\n    return util.extend({},\n      this._extraInfo ? this._extraInfo : null,\n      extraInfo ? extraInfo : null);\n  }\n\n  /**\n   * Close the handle. This clears this handle's contribution to the filter set,\n   * and unsubscribes all event listeners.\n   */\n  close() {\n    this._emitter.removeAllListeners();\n    this.clear();\n    this.setGroup(null);\n  }\n\n  /**\n   * Clear this handle's contribution to the filter set.\n   *\n   * @param {Object} [extraInfo] - Extra properties to be included on the event\n   *   object that's passed to listeners (in addition to any options that were\n   *   passed into the `FilterHandle` constructor).\n   * \n   * @fires FilterHandle#change\n   */\n  clear(extraInfo) {\n    if (!this._filterSet)\n      return;\n    this._filterSet.clear(this._id);\n    this._onChange(extraInfo);\n  }\n\n  /**\n   * Set this handle's contribution to the filter set. This array should consist\n   * of the keys of the rows that _should_ be displayed; any keys that are not\n   * present in the array will be considered _filtered out_. Note that multiple\n   * `FilterHandle` instances in the group may each contribute an array of keys,\n   * and only those keys that appear in _all_ of the arrays make it through the\n   * filter.\n   *\n   * @param {string[]} keys - Empty array, or array of keys. To clear the\n   *   filter, don't pass an empty array; instead, use the\n   *   {@link FilterHandle#clear} method.\n   * @param {Object} [extraInfo] - Extra properties to be included on the event\n   *   object that's passed to listeners (in addition to any options that were\n   *   passed into the `FilterHandle` constructor).\n   * \n   * @fires FilterHandle#change\n   */\n  set(keys, extraInfo) {\n    if (!this._filterSet)\n      return;\n    this._filterSet.update(this._id, keys);\n    this._onChange(extraInfo);\n  }\n\n  /**\n   * @return {string[]|null} - Either: 1) an array of keys that made it through\n   *   all of the `FilterHandle` instances, or, 2) `null`, which means no filter\n   *   is being applied (all data should be displayed).\n   */\n  get filteredKeys() {\n    return this._filterSet ? this._filterSet.value : null;\n  }\n\n  /**\n   * Subscribe to events on this `FilterHandle`.\n   *\n   * @param {string} eventType - Indicates the type of events to listen to.\n   *   Currently, only `\"change\"` is supported.\n   * @param {FilterHandle~listener} listener - The callback function that\n   *   will be invoked when the event occurs.\n   * @return {string} - A token to pass to {@link FilterHandle#off} to cancel\n   *   this subscription.\n   */\n  on(eventType, listener) {\n    return this._emitter.on(eventType, listener);\n  }\n\n  /**\n   * Cancel event subscriptions created by {@link FilterHandle#on}.\n   *\n   * @param {string} eventType - The type of event to unsubscribe.\n   * @param {string|FilterHandle~listener} listener - Either the callback\n   *   function previously passed into {@link FilterHandle#on}, or the\n   *   string that was returned from {@link FilterHandle#on}.\n   */\n  off(eventType, listener) {\n    return this._emitter.off(eventType, listener);\n  }\n\n  _onChange(extraInfo) {\n    if (!this._filterSet)\n      return;\n    this._filterVar.set(this._filterSet.value, this._mergeExtraInfo(extraInfo));\n  }\n\n  /**\n   * @callback FilterHandle~listener\n   * @param {Object} event - An object containing details of the event. For\n   *   `\"change\"` events, this includes the properties `value` (the new\n   *   value of the filter set, or `null` if no filter set is active),\n   *   `oldValue` (the previous value of the filter set), and `sender` (the\n   *   `FilterHandle` instance that made the change).\n   */\n\n}\n\n/**\n * @event FilterHandle#change\n * @type {object}\n * @property {object} value - The new value of the filter set, or `null`\n *   if no filter set is active.\n * @property {object} oldValue - The previous value of the filter set.\n * @property {FilterHandle} sender - The `FilterHandle` instance that\n *   changed the value.\n */\n","import { diffSortedLists } from \"./util\";\n\nfunction naturalComparator(a, b) {\n  if (a === b) {\n    return 0;\n  } else if (a < b) {\n    return -1;\n  } else if (a > b) {\n    return 1;\n  }\n}\n\n/**\n * @private\n */\nexport default class FilterSet {\n  constructor() {\n    this.reset();\n  }\n\n  reset() {\n    // Key: handle ID, Value: array of selected keys, or null\n    this._handles = {};\n    // Key: key string, Value: count of handles that include it\n    this._keys = {};\n    this._value = null;\n    this._activeHandles = 0;\n  }\n\n  get value() {\n    return this._value;\n  }\n\n  update(handleId, keys) {\n    if (keys !== null) {\n      keys = keys.slice(0); // clone before sorting\n      keys.sort(naturalComparator);\n    }\n\n    let {added, removed} = diffSortedLists(this._handles[handleId], keys);\n    this._handles[handleId] = keys;\n\n    for (let i = 0; i < added.length; i++) {\n      this._keys[added[i]] = (this._keys[added[i]] || 0) + 1;\n    }\n    for (let i = 0; i < removed.length; i++) {\n      this._keys[removed[i]]--;\n    }\n\n    this._updateValue(keys);\n  }\n\n  /**\n   * @param {string[]} keys Sorted array of strings that indicate\n   * a superset of possible keys.\n   * @private\n   */\n  _updateValue(keys = this._allKeys) {\n    let handleCount = Object.keys(this._handles).length;\n    if (handleCount === 0) {\n      this._value = null;\n    } else {\n      this._value = [];\n      for (let i = 0; i < keys.length; i++) {\n        let count = this._keys[keys[i]];\n        if (count === handleCount) {\n          this._value.push(keys[i]);\n        }\n      }\n    }\n  }\n\n  clear(handleId) {\n    if (typeof(this._handles[handleId]) === \"undefined\") {\n      return;\n    }\n\n    let keys = this._handles[handleId];\n    if (!keys) {\n      keys = [];\n    }\n\n    for (let i = 0; i < keys.length; i++) {\n      this._keys[keys[i]]--;\n    }\n    delete this._handles[handleId];\n\n    this._updateValue();\n  }\n\n  get _allKeys() {\n    let allKeys = Object.keys(this._keys);\n    allKeys.sort(naturalComparator);\n    return allKeys;\n  }\n}\n","import Var from \"./var\";\n\n// Use a global so that multiple copies of crosstalk.js can be loaded and still\n// have groups behave as singletons across all copies.\nglobal.__crosstalk_groups = global.__crosstalk_groups || {};\nlet groups = global.__crosstalk_groups;\n\nexport default function group(groupName) {\n  if (groupName && typeof(groupName) === \"string\") {\n    if (!groups.hasOwnProperty(groupName)) {\n      groups[groupName] = new Group(groupName);\n    }\n    return groups[groupName];\n  } else if (typeof(groupName) === \"object\" && groupName._vars && groupName.var) {\n    // Appears to already be a group object\n    return groupName;\n  } else if (Array.isArray(groupName) &&\n      groupName.length == 1 &&\n      typeof(groupName[0]) === \"string\") {\n    return group(groupName[0]);\n  } else {\n    throw new Error(\"Invalid groupName argument\");\n  }\n}\n\nclass Group {\n  constructor(name) {\n    this.name = name;\n    this._vars = {};\n  }\n\n  var(name) {\n    if (!name || typeof(name) !== \"string\") {\n      throw new Error(\"Invalid var name\");\n    }\n\n    if (!this._vars.hasOwnProperty(name))\n      this._vars[name] = new Var(this, name);\n    return this._vars[name];\n  }\n\n  has(name) {\n    if (!name || typeof(name) !== \"string\") {\n      throw new Error(\"Invalid var name\");\n    }\n\n    return this._vars.hasOwnProperty(name);\n  }\n}\n","import group from \"./group\";\nimport { SelectionHandle } from \"./selection\";\nimport { FilterHandle } from \"./filter\";\nimport { bind } from \"./input\";\nimport \"./input_selectize\";\nimport \"./input_checkboxgroup\";\nimport \"./input_slider\";\n\nconst defaultGroup = group(\"default\");\n\nfunction var_(name) {\n  return defaultGroup.var(name);\n}\n\nfunction has(name) {\n  return defaultGroup.has(name);\n}\n\nif (global.Shiny) {\n  global.Shiny.addCustomMessageHandler(\"update-client-value\", function(message) {\n    if (typeof(message.group) === \"string\") {\n      group(message.group).var(message.name).set(message.value);\n    } else {\n      var_(message.name).set(message.value);\n    }\n  });\n}\n\nconst crosstalk = {\n  group: group,\n  var: var_,\n  has: has,\n  SelectionHandle: SelectionHandle,\n  FilterHandle: FilterHandle,\n  bind: bind\n};\n\n/**\n * @namespace crosstalk\n */\nexport default crosstalk;\nglobal.crosstalk = crosstalk;\n","let $ = global.jQuery;\n\nlet bindings = {};\n\nexport function register(reg) {\n  bindings[reg.className] = reg;\n  if (global.document && global.document.readyState !== \"complete\") {\n    $(() => {\n      bind();\n    });\n  } else if (global.document) {\n    setTimeout(bind, 100);\n  }\n}\n\nexport function bind() {\n  Object.keys(bindings).forEach(function(className) {\n    let binding = bindings[className];\n    $(\".\" + binding.className).not(\".crosstalk-input-bound\").each(function(i, el) {\n      bindInstance(binding, el);\n    });\n  });\n}\n\n// Escape jQuery identifier\nfunction $escape(val) {\n  return val.replace(/([!\"#$%&'()*+,./:;<=>?@[\\\\\\]^`{|}~])/g, \"\\\\$1\");\n}\n\nfunction bindEl(el) {\n  let $el = $(el);\n  Object.keys(bindings).forEach(function(className) {\n    if ($el.hasClass(className) && !$el.hasClass(\"crosstalk-input-bound\")) {\n      let binding = bindings[className];\n      bindInstance(binding, el);\n    }\n  });\n}\n\nfunction bindInstance(binding, el) {\n  let jsonEl = $(el).find(\"script[type='application/json'][data-for='\" + $escape(el.id) + \"']\");\n  let data = JSON.parse(jsonEl[0].innerText);\n\n  let instance = binding.factory(el, data);\n  $(el).data(\"crosstalk-instance\", instance);\n  $(el).addClass(\"crosstalk-input-bound\");\n}\n\nif (global.Shiny) {\n  let inputBinding = new global.Shiny.InputBinding();\n  let $ = global.jQuery;\n  $.extend(inputBinding, {\n    find: function(scope) {\n      return $(scope).find(\".crosstalk-input\");\n    },\n    initialize: function(el) {\n      if (!$(el).hasClass(\"crosstalk-input-bound\")) {\n        bindEl(el);\n      }\n    },\n    getId: function(el) {\n      return el.id;\n    },\n    getValue: function(el) {\n\n    },\n    setValue: function(el, value) {\n\n    },\n    receiveMessage: function(el, data) {\n\n    },\n    subscribe: function(el, callback) {\n      $(el).data(\"crosstalk-instance\").resume();\n    },\n    unsubscribe: function(el) {\n      $(el).data(\"crosstalk-instance\").suspend();\n    }\n  });\n  global.Shiny.inputBindings.register(inputBinding, \"crosstalk.inputBinding\");\n}\n","import * as input from \"./input\";\nimport { FilterHandle } from \"./filter\";\n\nlet $ = global.jQuery;\n\ninput.register({\n  className: \"crosstalk-input-checkboxgroup\",\n\n  factory: function(el, data) {\n    /*\n     * map: {\"groupA\": [\"keyA\", \"keyB\", ...], ...}\n     * group: \"ct-groupname\"\n     */\n    let ctHandle = new FilterHandle(data.group);\n\n    let lastKnownKeys;\n    let $el = $(el);\n    $el.on(\"change\", \"input[type='checkbox']\", function() {\n      let checked = $el.find(\"input[type='checkbox']:checked\");\n      if (checked.length === 0) {\n        lastKnownKeys = null;\n        ctHandle.clear();\n      } else {\n        let keys = {};\n        checked.each(function() {\n          data.map[this.value].forEach(function(key) {\n            keys[key] = true;\n          });\n        });\n        let keyArray = Object.keys(keys);\n        keyArray.sort();\n        lastKnownKeys = keyArray;\n        ctHandle.set(keyArray);\n      }\n    });\n\n    return {\n      suspend: function() {\n        ctHandle.clear();\n      },\n      resume: function() {\n        if (lastKnownKeys)\n          ctHandle.set(lastKnownKeys);\n      }\n    };\n  }\n});\n","import * as input from \"./input\";\nimport * as util from \"./util\";\nimport { FilterHandle } from \"./filter\";\n\nlet $ = global.jQuery;\n\ninput.register({\n  className: \"crosstalk-input-select\",\n\n  factory: function(el, data) {\n    /*\n     * items: {value: [...], label: [...]}\n     * map: {\"groupA\": [\"keyA\", \"keyB\", ...], ...}\n     * group: \"ct-groupname\"\n     */\n\n    let first = [{value: \"\", label: \"(All)\"}];\n    let items = util.dataframeToD3(data.items);\n    let opts = {\n      options: first.concat(items),\n      valueField: \"value\",\n      labelField: \"label\",\n      searchField: \"label\"\n    };\n\n    let select = $(el).find(\"select\")[0];\n\n    let selectize = $(select).selectize(opts)[0].selectize;\n\n    let ctHandle = new FilterHandle(data.group);\n\n    let lastKnownKeys;\n    selectize.on(\"change\", function() {\n      if (selectize.items.length === 0) {\n        lastKnownKeys = null;\n        ctHandle.clear();\n      } else {\n        let keys = {};\n        selectize.items.forEach(function(group) {\n          data.map[group].forEach(function(key) {\n            keys[key] = true;\n          });\n        });\n        let keyArray = Object.keys(keys);\n        keyArray.sort();\n        lastKnownKeys = keyArray;\n        ctHandle.set(keyArray);\n      }\n    });\n\n    return {\n      suspend: function() {\n        ctHandle.clear();\n      },\n      resume: function() {\n        if (lastKnownKeys)\n          ctHandle.set(lastKnownKeys);\n      }\n    };\n  }\n});\n","import * as input from \"./input\";\nimport { FilterHandle } from \"./filter\";\n\nlet $ = global.jQuery;\nlet strftime = global.strftime;\n\ninput.register({\n  className: \"crosstalk-input-slider\",\n\n  factory: function(el, data) {\n    /*\n     * map: {\"groupA\": [\"keyA\", \"keyB\", ...], ...}\n     * group: \"ct-groupname\"\n     */\n    let ctHandle = new FilterHandle(data.group);\n\n    let opts = {};\n    let $el = $(el).find(\"input\");\n    let dataType = $el.data(\"data-type\");\n    let timeFormat = $el.data(\"time-format\");\n    let round = $el.data(\"round\");\n    let timeFormatter;\n\n    // Set up formatting functions\n    if (dataType === \"date\") {\n      timeFormatter = strftime.utc();\n      opts.prettify = function(num) {\n        return timeFormatter(timeFormat, new Date(num));\n      };\n\n    } else if (dataType === \"datetime\") {\n      let timezone = $el.data(\"timezone\");\n      if (timezone)\n        timeFormatter = strftime.timezone(timezone);\n      else\n        timeFormatter = strftime;\n\n      opts.prettify = function(num) {\n        return timeFormatter(timeFormat, new Date(num));\n      };\n    } else if (dataType === \"number\") {\n      if (typeof round !== \"undefined\")\n        opts.prettify = function(num) {\n          let factor = Math.pow(10, round);\n          return Math.round(num * factor) / factor;\n        };\n    }\n\n    $el.ionRangeSlider(opts);\n\n    function getValue() {\n      let result = $el.data(\"ionRangeSlider\").result;\n\n      // Function for converting numeric value from slider to appropriate type.\n      let convert;\n      let dataType = $el.data(\"data-type\");\n      if (dataType === \"date\") {\n        convert = function(val) {\n          return formatDateUTC(new Date(+val));\n        };\n      } else if (dataType === \"datetime\") {\n        convert = function(val) {\n          // Convert ms to s\n          return +val / 1000;\n        };\n      } else {\n        convert = function(val) { return +val; };\n      }\n\n      if ($el.data(\"ionRangeSlider\").options.type === \"double\") {\n        return [convert(result.from), convert(result.to)];\n      } else {\n        return convert(result.from);\n      }\n    }\n\n    let lastKnownKeys = null;\n\n    $el.on(\"change.crosstalkSliderInput\", function(event) {\n      if (!$el.data(\"updating\") && !$el.data(\"animating\")) {\n        let [from, to] = getValue();\n        let keys = [];\n        for (let i = 0; i < data.values.length; i++) {\n          let val = data.values[i];\n          if (val >= from && val <= to) {\n            keys.push(data.keys[i]);\n          }\n        }\n        keys.sort();\n        ctHandle.set(keys);\n        lastKnownKeys = keys;\n      }\n    });\n\n\n    // let $el = $(el);\n    // $el.on(\"change\", \"input[type=\"checkbox\"]\", function() {\n    //   let checked = $el.find(\"input[type=\"checkbox\"]:checked\");\n    //   if (checked.length === 0) {\n    //     ctHandle.clear();\n    //   } else {\n    //     let keys = {};\n    //     checked.each(function() {\n    //       data.map[this.value].forEach(function(key) {\n    //         keys[key] = true;\n    //       });\n    //     });\n    //     let keyArray = Object.keys(keys);\n    //     keyArray.sort();\n    //     ctHandle.set(keyArray);\n    //   }\n    // });\n\n    return {\n      suspend: function() {\n        ctHandle.clear();\n      },\n      resume: function() {\n        if (lastKnownKeys)\n          ctHandle.set(lastKnownKeys);\n      }\n    };\n  }\n});\n\n\n// Convert a number to a string with leading zeros\nfunction padZeros(n, digits) {\n  let str = n.toString();\n  while (str.length < digits)\n    str = \"0\" + str;\n  return str;\n}\n\n// Given a Date object, return a string in yyyy-mm-dd format, using the\n// UTC date. This may be a day off from the date in the local time zone.\nfunction formatDateUTC(date) {\n  if (date instanceof Date) {\n    return date.getUTCFullYear() + \"-\" +\n           padZeros(date.getUTCMonth()+1, 2) + \"-\" +\n           padZeros(date.getUTCDate(), 2);\n\n  } else {\n    return null;\n  }\n}\n","import Events from \"./events\";\nimport grp from \"./group\";\nimport * as util from \"./util\";\n\n/**\n * Use this class to read and write (and listen for changes to) the selection\n * for a Crosstalk group. This is intended to be used for linked brushing.\n *\n * If two (or more) `SelectionHandle` instances in the same webpage share the\n * same group name, they will share the same state. Setting the selection using\n * one `SelectionHandle` instance will result in the `value` property instantly\n * changing across the others, and `\"change\"` event listeners on all instances\n * (including the one that initiated the sending) will fire.\n *\n * @param {string} [group] - The name of the Crosstalk group, or if none,\n *   null or undefined (or any other falsy value). This can be changed later\n *   via the [SelectionHandle#setGroup](#setGroup) method.\n * @param {Object} [extraInfo] - An object whose properties will be copied to\n *   the event object whenever an event is emitted.\n */\nexport class SelectionHandle {\n\n  constructor(group = null, extraInfo = null) {\n    this._eventRelay = new Events();\n    this._emitter = new util.SubscriptionTracker(this._eventRelay);\n\n    // Name of the group we're currently tracking, if any. Can change over time.\n    this._group = null;\n    // The Var we're currently tracking, if any. Can change over time.\n    this._var = null;\n    // The event handler subscription we currently have on var.on(\"change\").\n    this._varOnChangeSub = null;\n\n    this._extraInfo = util.extend({ sender: this }, extraInfo);\n\n    this.setGroup(group);\n  }\n\n  /**\n   * Changes the Crosstalk group membership of this SelectionHandle. The group\n   * being switched away from (if any) will not have its selection value\n   * modified as a result of calling `setGroup`, even if this handle was the\n   * most recent handle to set the selection of the group.\n   *\n   * The group being switched to (if any) will also not have its selection value\n   * modified as a result of calling `setGroup`. If you want to set the\n   * selection value of the new group, call `set` explicitly.\n   *\n   * @param {string} group - The name of the Crosstalk group, or null (or\n   *   undefined) to clear the group.\n   */\n  setGroup(group) {\n    // If group is unchanged, do nothing\n    if (this._group === group)\n      return;\n    // Treat null, undefined, and other falsy values the same\n    if (!this._group && !group)\n      return;\n\n    if (this._var) {\n      this._var.off(\"change\", this._varOnChangeSub);\n      this._var = null;\n      this._varOnChangeSub = null;\n    }\n\n    this._group = group;\n\n    if (group) {\n      this._var = grp(group).var(\"selection\");\n      let sub = this._var.on(\"change\", (e) => {\n        this._eventRelay.trigger(\"change\", e, this);\n      });\n      this._varOnChangeSub = sub;\n    }\n  }\n\n  /**\n   * Retrieves the current selection for the group represented by this\n   * `SelectionHandle`.\n   *\n   * - If no selection is active, then this value will be falsy.\n   * - If a selection is active, but no data points are selected, then this\n   *   value will be an empty array.\n   * - If a selection is active, and data points are selected, then the keys\n   *   of the selected data points will be present in the array.\n   */\n  get value() {\n    return this._var ? this._var.get() : null;\n  }\n\n  /**\n   * Combines the given `extraInfo` (if any) with the handle's default\n   * `_extraInfo` (if any).\n   * @private\n   */\n  _mergeExtraInfo(extraInfo) {\n    // Important incidental effect: shallow clone is returned\n    return util.extend({},\n      this._extraInfo ? this._extraInfo : null,\n      extraInfo ? extraInfo : null);\n  }\n\n  /**\n   * Overwrites the current selection for the group, and raises the `\"change\"`\n   * event among all of the group's '`SelectionHandle` instances (including\n   * this one).\n   *\n   * @fires SelectionHandle#change\n   * @param {string[]} selectedKeys - Falsy, empty array, or array of keys (see\n   *   {@link SelectionHandle#value}).\n   * @param {Object} [extraInfo] - Extra properties to be included on the event\n   *   object that's passed to listeners (in addition to any options that were\n   *   passed into the `SelectionHandle` constructor).\n   */\n  set(selectedKeys, extraInfo) {\n    if (this._var)\n      this._var.set(selectedKeys, this._mergeExtraInfo(extraInfo));\n  }\n\n  /**\n   * Overwrites the current selection for the group, and raises the `\"change\"`\n   * event among all of the group's '`SelectionHandle` instances (including\n   * this one).\n   *\n   * @fires SelectionHandle#change\n   * @param {Object} [extraInfo] - Extra properties to be included on the event\n   *   object that's passed to listeners (in addition to any that were passed\n   *   into the `SelectionHandle` constructor).\n   */\n  clear(extraInfo) {\n    if (this._var)\n      this.set(void 0, this._mergeExtraInfo(extraInfo));\n  }\n\n  /**\n   * Subscribes to events on this `SelectionHandle`.\n   *\n   * @param {string} eventType - Indicates the type of events to listen to.\n   *   Currently, only `\"change\"` is supported.\n   * @param {SelectionHandle~listener} listener - The callback function that\n   *   will be invoked when the event occurs.\n   * @return {string} - A token to pass to {@link SelectionHandle#off} to cancel\n   *   this subscription.\n   */\n  on(eventType, listener) {\n    return this._emitter.on(eventType, listener);\n  }\n\n  /**\n   * Cancels event subscriptions created by {@link SelectionHandle#on}.\n   *\n   * @param {string} eventType - The type of event to unsubscribe.\n   * @param {string|SelectionHandle~listener} listener - Either the callback\n   *   function previously passed into {@link SelectionHandle#on}, or the\n   *   string that was returned from {@link SelectionHandle#on}.\n   */\n  off(eventType, listener) {\n    return this._emitter.off(eventType, listener);\n  }\n\n  /**\n   * Shuts down the `SelectionHandle` object.\n   *\n   * Removes all event listeners that were added through this handle.\n   */\n  close() {\n    this._emitter.removeAllListeners();\n    this.setGroup(null);\n  }\n}\n\n/**\n * @callback SelectionHandle~listener\n * @param {Object} event - An object containing details of the event. For\n *   `\"change\"` events, this includes the properties `value` (the new\n *   value of the selection, or `undefined` if no selection is active),\n *   `oldValue` (the previous value of the selection), and `sender` (the\n *   `SelectionHandle` instance that made the change).\n */\n\n/**\n * @event SelectionHandle#change\n * @type {object}\n * @property {object} value - The new value of the selection, or `undefined`\n *   if no selection is active.\n * @property {object} oldValue - The previous value of the selection.\n * @property {SelectionHandle} sender - The `SelectionHandle` instance that\n *   changed the value.\n */\n","export function extend(target, ...sources) {\n  for (let i = 0; i < sources.length; i++) {\n    let src = sources[i];\n    if (typeof(src) === \"undefined\" || src === null)\n      continue;\n\n    for (let key in src) {\n      if (src.hasOwnProperty(key)) {\n        target[key] = src[key];\n      }\n    }\n  }\n  return target;\n}\n\nexport function checkSorted(list) {\n  for (let i = 1; i < list.length; i++) {\n    if (list[i] <= list[i-1]) {\n      throw new Error(\"List is not sorted or contains duplicate\");\n    }\n  }\n}\n\nexport function diffSortedLists(a, b) {\n  let i_a = 0;\n  let i_b = 0;\n\n  if (!a) a = [];\n  if (!b) b = [];\n\n  let a_only = [];\n  let b_only = [];\n\n  checkSorted(a);\n  checkSorted(b);\n\n  while (i_a < a.length && i_b < b.length) {\n    if (a[i_a] === b[i_b]) {\n      i_a++;\n      i_b++;\n    } else if (a[i_a] < b[i_b]) {\n      a_only.push(a[i_a++]);\n    } else {\n      b_only.push(b[i_b++]);\n    }\n  }\n\n  if (i_a < a.length)\n    a_only = a_only.concat(a.slice(i_a));\n  if (i_b < b.length)\n    b_only = b_only.concat(b.slice(i_b));\n  return {\n    removed: a_only,\n    added: b_only\n  };\n}\n\n// Convert from wide: { colA: [1,2,3], colB: [4,5,6], ... }\n// to long: [ {colA: 1, colB: 4}, {colA: 2, colB: 5}, ... ]\nexport function dataframeToD3(df) {\n  let names = [];\n  let length;\n  for (let name in df) {\n    if (df.hasOwnProperty(name))\n      names.push(name);\n    if (typeof(df[name]) !== \"object\" || typeof(df[name].length) === \"undefined\") {\n      throw new Error(\"All fields must be arrays\");\n    } else if (typeof(length) !== \"undefined\" && length !== df[name].length) {\n      throw new Error(\"All fields must be arrays of the same length\");\n    }\n    length = df[name].length;\n  }\n  let results = [];\n  let item;\n  for (let row = 0; row < length; row++) {\n    item = {};\n    for (let col = 0; col < names.length; col++) {\n      item[names[col]] = df[names[col]][row];\n    }\n    results.push(item);\n  }\n  return results;\n}\n\n/**\n * Keeps track of all event listener additions/removals and lets all active\n * listeners be removed with a single operation.\n *\n * @private\n */\nexport class SubscriptionTracker {\n  constructor(emitter) {\n    this._emitter = emitter;\n    this._subs = {};\n  }\n\n  on(eventType, listener) {\n    let sub = this._emitter.on(eventType, listener);\n    this._subs[sub] = eventType;\n    return sub;\n  }\n\n  off(eventType, listener) {\n    let sub = this._emitter.off(eventType, listener);\n    if (sub) {\n      delete this._subs[sub];\n    }\n    return sub;\n  }\n\n  removeAllListeners() {\n    let current_subs = this._subs;\n    this._subs = {};\n    Object.keys(current_subs).forEach((sub) => {\n      this._emitter.off(current_subs[sub], sub);\n    });\n  }\n}\n","import Events from \"./events\";\n\nexport default class Var {\n  constructor(group, name, /*optional*/ value) {\n    this._group = group;\n    this._name = name;\n    this._value = value;\n    this._events = new Events();\n  }\n\n  get() {\n    return this._value;\n  }\n\n  set(value, /*optional*/ event) {\n    if (this._value === value) {\n      // Do nothing; the value hasn't changed\n      return;\n    }\n    let oldValue = this._value;\n    this._value = value;\n    // Alert JavaScript listeners that the value has changed\n    let evt = {};\n    if (event && typeof(event) === \"object\") {\n      for (let k in event) {\n        if (event.hasOwnProperty(k))\n          evt[k] = event[k];\n      }\n    }\n    evt.oldValue = oldValue;\n    evt.value = value;\n    this._events.trigger(\"change\", evt, this);\n\n    // TODO: Make this extensible, to let arbitrary back-ends know that\n    // something has changed\n    if (global.Shiny && global.Shiny.onInputChange) {\n      global.Shiny.onInputChange(\n        \".clientValue-\" +\n          (this._group.name !== null ? this._group.name + \"-\" : \"\") +\n          this._name,\n        typeof(value) === \"undefined\" ? null : value\n      );\n    }\n  }\n\n  on(eventType, listener) {\n    return this._events.on(eventType, listener);\n  }\n\n  off(eventType, listener) {\n    return this._events.off(eventType, listener);\n  }\n}\n"]}
\ No newline at end of file
diff --git a/docs/articles/cohort_dynamics_and_diffusion_files/crosstalk-1.2.2/scss/crosstalk.scss b/docs/articles/cohort_dynamics_and_diffusion_files/crosstalk-1.2.2/scss/crosstalk.scss
new file mode 100644
index 000000000..35665616f
--- /dev/null
+++ b/docs/articles/cohort_dynamics_and_diffusion_files/crosstalk-1.2.2/scss/crosstalk.scss
@@ -0,0 +1,75 @@
+/* Adjust margins outwards, so column contents line up with the edges of the
+   parent of container-fluid. */
+.container-fluid.crosstalk-bscols {
+  margin-left: -30px;
+  margin-right: -30px;
+  white-space: normal;
+}
+
+/* But don't adjust the margins outwards if we're directly under the body,
+   i.e. we were the top-level of something at the console. */
+body > .container-fluid.crosstalk-bscols {
+  margin-left: auto;
+  margin-right: auto;
+}
+
+.crosstalk-input-checkboxgroup .crosstalk-options-group .crosstalk-options-column {
+  display: inline-block;
+  padding-right: 12px;
+  vertical-align: top;
+}
+
+@media only screen and (max-width:480px) {
+  .crosstalk-input-checkboxgroup .crosstalk-options-group .crosstalk-options-column {
+    display: block;
+    padding-right: inherit;
+  }
+}
+
+/* Relevant BS3 styles to make filter_checkbox() look reasonable without Bootstrap */
+.crosstalk-input {
+  margin-bottom: 15px; /* a la .form-group */
+  .control-label {
+    margin-bottom: 0;
+    vertical-align: middle;
+  }
+  input[type="checkbox"] {
+    margin: 4px 0 0;
+    margin-top: 1px;
+    line-height: normal;
+  }
+  .checkbox {
+    position: relative;
+    display: block;
+    margin-top: 10px;
+    margin-bottom: 10px;
+  }
+  .checkbox > label{
+    padding-left: 20px;
+    margin-bottom: 0;
+    font-weight: 400;
+    cursor: pointer;
+  }
+  .checkbox input[type="checkbox"],
+  .checkbox-inline input[type="checkbox"] {
+    position: absolute;
+    margin-top: 2px;
+    margin-left: -20px;
+  }
+  .checkbox + .checkbox {
+    margin-top: -5px;
+  }
+  .checkbox-inline {
+    position: relative;
+    display: inline-block;
+    padding-left: 20px;
+    margin-bottom: 0;
+    font-weight: 400;
+    vertical-align: middle;
+    cursor: pointer;
+  }
+  .checkbox-inline + .checkbox-inline {
+    margin-top: 0;
+    margin-left: 10px;
+  }
+}
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diff --git a/docs/articles/plotting_files/htmltools-fill-0.5.8.1/fill.css b/docs/articles/cohort_dynamics_and_diffusion_files/htmltools-fill-0.5.9/fill.css
similarity index 100%
rename from docs/articles/plotting_files/htmltools-fill-0.5.8.1/fill.css
rename to docs/articles/cohort_dynamics_and_diffusion_files/htmltools-fill-0.5.9/fill.css
diff --git a/docs/articles/cohort_dynamics_and_diffusion_files/htmlwidgets-1.6.4/htmlwidgets.js b/docs/articles/cohort_dynamics_and_diffusion_files/htmlwidgets-1.6.4/htmlwidgets.js
new file mode 100644
index 000000000..1067d029f
--- /dev/null
+++ b/docs/articles/cohort_dynamics_and_diffusion_files/htmlwidgets-1.6.4/htmlwidgets.js
@@ -0,0 +1,901 @@
+(function() {
+  // If window.HTMLWidgets is already defined, then use it; otherwise create a
+  // new object. This allows preceding code to set options that affect the
+  // initialization process (though none currently exist).
+  window.HTMLWidgets = window.HTMLWidgets || {};
+
+  // See if we're running in a viewer pane. If not, we're in a web browser.
+  var viewerMode = window.HTMLWidgets.viewerMode =
+      /\bviewer_pane=1\b/.test(window.location);
+
+  // See if we're running in Shiny mode. If not, it's a static document.
+  // Note that static widgets can appear in both Shiny and static modes, but
+  // obviously, Shiny widgets can only appear in Shiny apps/documents.
+  var shinyMode = window.HTMLWidgets.shinyMode =
+      typeof(window.Shiny) !== "undefined" && !!window.Shiny.outputBindings;
+
+  // We can't count on jQuery being available, so we implement our own
+  // version if necessary.
+  function querySelectorAll(scope, selector) {
+    if (typeof(jQuery) !== "undefined" && scope instanceof jQuery) {
+      return scope.find(selector);
+    }
+    if (scope.querySelectorAll) {
+      return scope.querySelectorAll(selector);
+    }
+  }
+
+  function asArray(value) {
+    if (value === null)
+      return [];
+    if ($.isArray(value))
+      return value;
+    return [value];
+  }
+
+  // Implement jQuery's extend
+  function extend(target /*, ... */) {
+    if (arguments.length == 1) {
+      return target;
+    }
+    for (var i = 1; i < arguments.length; i++) {
+      var source = arguments[i];
+      for (var prop in source) {
+        if (source.hasOwnProperty(prop)) {
+          target[prop] = source[prop];
+        }
+      }
+    }
+    return target;
+  }
+
+  // IE8 doesn't support Array.forEach.
+  function forEach(values, callback, thisArg) {
+    if (values.forEach) {
+      values.forEach(callback, thisArg);
+    } else {
+      for (var i = 0; i < values.length; i++) {
+        callback.call(thisArg, values[i], i, values);
+      }
+    }
+  }
+
+  // Replaces the specified method with the return value of funcSource.
+  //
+  // Note that funcSource should not BE the new method, it should be a function
+  // that RETURNS the new method. funcSource receives a single argument that is
+  // the overridden method, it can be called from the new method. The overridden
+  // method can be called like a regular function, it has the target permanently
+  // bound to it so "this" will work correctly.
+  function overrideMethod(target, methodName, funcSource) {
+    var superFunc = target[methodName] || function() {};
+    var superFuncBound = function() {
+      return superFunc.apply(target, arguments);
+    };
+    target[methodName] = funcSource(superFuncBound);
+  }
+
+  // Add a method to delegator that, when invoked, calls
+  // delegatee.methodName. If there is no such method on
+  // the delegatee, but there was one on delegator before
+  // delegateMethod was called, then the original version
+  // is invoked instead.
+  // For example:
+  //
+  // var a = {
+  //   method1: function() { console.log('a1'); }
+  //   method2: function() { console.log('a2'); }
+  // };
+  // var b = {
+  //   method1: function() { console.log('b1'); }
+  // };
+  // delegateMethod(a, b, "method1");
+  // delegateMethod(a, b, "method2");
+  // a.method1();
+  // a.method2();
+  //
+  // The output would be "b1", "a2".
+  function delegateMethod(delegator, delegatee, methodName) {
+    var inherited = delegator[methodName];
+    delegator[methodName] = function() {
+      var target = delegatee;
+      var method = delegatee[methodName];
+
+      // The method doesn't exist on the delegatee. Instead,
+      // call the method on the delegator, if it exists.
+      if (!method) {
+        target = delegator;
+        method = inherited;
+      }
+
+      if (method) {
+        return method.apply(target, arguments);
+      }
+    };
+  }
+
+  // Implement a vague facsimilie of jQuery's data method
+  function elementData(el, name, value) {
+    if (arguments.length == 2) {
+      return el["htmlwidget_data_" + name];
+    } else if (arguments.length == 3) {
+      el["htmlwidget_data_" + name] = value;
+      return el;
+    } else {
+      throw new Error("Wrong number of arguments for elementData: " +
+        arguments.length);
+    }
+  }
+
+  // http://stackoverflow.com/questions/3446170/escape-string-for-use-in-javascript-regex
+  function escapeRegExp(str) {
+    return str.replace(/[\-\[\]\/\{\}\(\)\*\+\?\.\\\^\$\|]/g, "\\$&");
+  }
+
+  function hasClass(el, className) {
+    var re = new RegExp("\\b" + escapeRegExp(className) + "\\b");
+    return re.test(el.className);
+  }
+
+  // elements - array (or array-like object) of HTML elements
+  // className - class name to test for
+  // include - if true, only return elements with given className;
+  //   if false, only return elements *without* given className
+  function filterByClass(elements, className, include) {
+    var results = [];
+    for (var i = 0; i < elements.length; i++) {
+      if (hasClass(elements[i], className) == include)
+        results.push(elements[i]);
+    }
+    return results;
+  }
+
+  function on(obj, eventName, func) {
+    if (obj.addEventListener) {
+      obj.addEventListener(eventName, func, false);
+    } else if (obj.attachEvent) {
+      obj.attachEvent(eventName, func);
+    }
+  }
+
+  function off(obj, eventName, func) {
+    if (obj.removeEventListener)
+      obj.removeEventListener(eventName, func, false);
+    else if (obj.detachEvent) {
+      obj.detachEvent(eventName, func);
+    }
+  }
+
+  // Translate array of values to top/right/bottom/left, as usual with
+  // the "padding" CSS property
+  // https://developer.mozilla.org/en-US/docs/Web/CSS/padding
+  function unpackPadding(value) {
+    if (typeof(value) === "number")
+      value = [value];
+    if (value.length === 1) {
+      return {top: value[0], right: value[0], bottom: value[0], left: value[0]};
+    }
+    if (value.length === 2) {
+      return {top: value[0], right: value[1], bottom: value[0], left: value[1]};
+    }
+    if (value.length === 3) {
+      return {top: value[0], right: value[1], bottom: value[2], left: value[1]};
+    }
+    if (value.length === 4) {
+      return {top: value[0], right: value[1], bottom: value[2], left: value[3]};
+    }
+  }
+
+  // Convert an unpacked padding object to a CSS value
+  function paddingToCss(paddingObj) {
+    return paddingObj.top + "px " + paddingObj.right + "px " + paddingObj.bottom + "px " + paddingObj.left + "px";
+  }
+
+  // Makes a number suitable for CSS
+  function px(x) {
+    if (typeof(x) === "number")
+      return x + "px";
+    else
+      return x;
+  }
+
+  // Retrieves runtime widget sizing information for an element.
+  // The return value is either null, or an object with fill, padding,
+  // defaultWidth, defaultHeight fields.
+  function sizingPolicy(el) {
+    var sizingEl = document.querySelector("script[data-for='" + el.id + "'][type='application/htmlwidget-sizing']");
+    if (!sizingEl)
+      return null;
+    var sp = JSON.parse(sizingEl.textContent || sizingEl.text || "{}");
+    if (viewerMode) {
+      return sp.viewer;
+    } else {
+      return sp.browser;
+    }
+  }
+
+  // @param tasks Array of strings (or falsy value, in which case no-op).
+  //   Each element must be a valid JavaScript expression that yields a
+  //   function. Or, can be an array of objects with "code" and "data"
+  //   properties; in this case, the "code" property should be a string
+  //   of JS that's an expr that yields a function, and "data" should be
+  //   an object that will be added as an additional argument when that
+  //   function is called.
+  // @param target The object that will be "this" for each function
+  //   execution.
+  // @param args Array of arguments to be passed to the functions. (The
+  //   same arguments will be passed to all functions.)
+  function evalAndRun(tasks, target, args) {
+    if (tasks) {
+      forEach(tasks, function(task) {
+        var theseArgs = args;
+        if (typeof(task) === "object") {
+          theseArgs = theseArgs.concat([task.data]);
+          task = task.code;
+        }
+        var taskFunc = tryEval(task);
+        if (typeof(taskFunc) !== "function") {
+          throw new Error("Task must be a function! Source:\n" + task);
+        }
+        taskFunc.apply(target, theseArgs);
+      });
+    }
+  }
+
+  // Attempt eval() both with and without enclosing in parentheses.
+  // Note that enclosing coerces a function declaration into
+  // an expression that eval() can parse
+  // (otherwise, a SyntaxError is thrown)
+  function tryEval(code) {
+    var result = null;
+    try {
+      result = eval("(" + code + ")");
+    } catch(error) {
+      if (!(error instanceof SyntaxError)) {
+        throw error;
+      }
+      try {
+        result = eval(code);
+      } catch(e) {
+        if (e instanceof SyntaxError) {
+          throw error;
+        } else {
+          throw e;
+        }
+      }
+    }
+    return result;
+  }
+
+  function initSizing(el) {
+    var sizing = sizingPolicy(el);
+    if (!sizing)
+      return;
+
+    var cel = document.getElementById("htmlwidget_container");
+    if (!cel)
+      return;
+
+    if (typeof(sizing.padding) !== "undefined") {
+      document.body.style.margin = "0";
+      document.body.style.padding = paddingToCss(unpackPadding(sizing.padding));
+    }
+
+    if (sizing.fill) {
+      document.body.style.overflow = "hidden";
+      document.body.style.width = "100%";
+      document.body.style.height = "100%";
+      document.documentElement.style.width = "100%";
+      document.documentElement.style.height = "100%";
+      cel.style.position = "absolute";
+      var pad = unpackPadding(sizing.padding);
+      cel.style.top = pad.top + "px";
+      cel.style.right = pad.right + "px";
+      cel.style.bottom = pad.bottom + "px";
+      cel.style.left = pad.left + "px";
+      el.style.width = "100%";
+      el.style.height = "100%";
+
+      return {
+        getWidth: function() { return cel.getBoundingClientRect().width; },
+        getHeight: function() { return cel.getBoundingClientRect().height; }
+      };
+
+    } else {
+      el.style.width = px(sizing.width);
+      el.style.height = px(sizing.height);
+
+      return {
+        getWidth: function() { return cel.getBoundingClientRect().width; },
+        getHeight: function() { return cel.getBoundingClientRect().height; }
+      };
+    }
+  }
+
+  // Default implementations for methods
+  var defaults = {
+    find: function(scope) {
+      return querySelectorAll(scope, "." + this.name);
+    },
+    renderError: function(el, err) {
+      var $el = $(el);
+
+      this.clearError(el);
+
+      // Add all these error classes, as Shiny does
+      var errClass = "shiny-output-error";
+      if (err.type !== null) {
+        // use the classes of the error condition as CSS class names
+        errClass = errClass + " " + $.map(asArray(err.type), function(type) {
+          return errClass + "-" + type;
+        }).join(" ");
+      }
+      errClass = errClass + " htmlwidgets-error";
+
+      // Is el inline or block? If inline or inline-block, just display:none it
+      // and add an inline error.
+      var display = $el.css("display");
+      $el.data("restore-display-mode", display);
+
+      if (display === "inline" || display === "inline-block") {
+        $el.hide();
+        if (err.message !== "") {
+          var errorSpan = $("<span>").addClass(errClass);
+          errorSpan.text(err.message);
+          $el.after(errorSpan);
+        }
+      } else if (display === "block") {
+        // If block, add an error just after the el, set visibility:none on the
+        // el, and position the error to be on top of the el.
+        // Mark it with a unique ID and CSS class so we can remove it later.
+        $el.css("visibility", "hidden");
+        if (err.message !== "") {
+          var errorDiv = $("<div>").addClass(errClass).css("position", "absolute")
+            .css("top", el.offsetTop)
+            .css("left", el.offsetLeft)
+            // setting width can push out the page size, forcing otherwise
+            // unnecessary scrollbars to appear and making it impossible for
+            // the element to shrink; so use max-width instead
+            .css("maxWidth", el.offsetWidth)
+            .css("height", el.offsetHeight);
+          errorDiv.text(err.message);
+          $el.after(errorDiv);
+
+          // Really dumb way to keep the size/position of the error in sync with
+          // the parent element as the window is resized or whatever.
+          var intId = setInterval(function() {
+            if (!errorDiv[0].parentElement) {
+              clearInterval(intId);
+              return;
+            }
+            errorDiv
+              .css("top", el.offsetTop)
+              .css("left", el.offsetLeft)
+              .css("maxWidth", el.offsetWidth)
+              .css("height", el.offsetHeight);
+          }, 500);
+        }
+      }
+    },
+    clearError: function(el) {
+      var $el = $(el);
+      var display = $el.data("restore-display-mode");
+      $el.data("restore-display-mode", null);
+
+      if (display === "inline" || display === "inline-block") {
+        if (display)
+          $el.css("display", display);
+        $(el.nextSibling).filter(".htmlwidgets-error").remove();
+      } else if (display === "block"){
+        $el.css("visibility", "inherit");
+        $(el.nextSibling).filter(".htmlwidgets-error").remove();
+      }
+    },
+    sizing: {}
+  };
+
+  // Called by widget bindings to register a new type of widget. The definition
+  // object can contain the following properties:
+  // - name (required) - A string indicating the binding name, which will be
+  //   used by default as the CSS classname to look for.
+  // - initialize (optional) - A function(el) that will be called once per
+  //   widget element; if a value is returned, it will be passed as the third
+  //   value to renderValue.
+  // - renderValue (required) - A function(el, data, initValue) that will be
+  //   called with data. Static contexts will cause this to be called once per
+  //   element; Shiny apps will cause this to be called multiple times per
+  //   element, as the data changes.
+  window.HTMLWidgets.widget = function(definition) {
+    if (!definition.name) {
+      throw new Error("Widget must have a name");
+    }
+    if (!definition.type) {
+      throw new Error("Widget must have a type");
+    }
+    // Currently we only support output widgets
+    if (definition.type !== "output") {
+      throw new Error("Unrecognized widget type '" + definition.type + "'");
+    }
+    // TODO: Verify that .name is a valid CSS classname
+
+    // Support new-style instance-bound definitions. Old-style class-bound
+    // definitions have one widget "object" per widget per type/class of
+    // widget; the renderValue and resize methods on such widget objects
+    // take el and instance arguments, because the widget object can't
+    // store them. New-style instance-bound definitions have one widget
+    // object per widget instance; the definition that's passed in doesn't
+    // provide renderValue or resize methods at all, just the single method
+    //   factory(el, width, height)
+    // which returns an object that has renderValue(x) and resize(w, h).
+    // This enables a far more natural programming style for the widget
+    // author, who can store per-instance state using either OO-style
+    // instance fields or functional-style closure variables (I guess this
+    // is in contrast to what can only be called C-style pseudo-OO which is
+    // what we required before).
+    if (definition.factory) {
+      definition = createLegacyDefinitionAdapter(definition);
+    }
+
+    if (!definition.renderValue) {
+      throw new Error("Widget must have a renderValue function");
+    }
+
+    // For static rendering (non-Shiny), use a simple widget registration
+    // scheme. We also use this scheme for Shiny apps/documents that also
+    // contain static widgets.
+    window.HTMLWidgets.widgets = window.HTMLWidgets.widgets || [];
+    // Merge defaults into the definition; don't mutate the original definition.
+    var staticBinding = extend({}, defaults, definition);
+    overrideMethod(staticBinding, "find", function(superfunc) {
+      return function(scope) {
+        var results = superfunc(scope);
+        // Filter out Shiny outputs, we only want the static kind
+        return filterByClass(results, "html-widget-output", false);
+      };
+    });
+    window.HTMLWidgets.widgets.push(staticBinding);
+
+    if (shinyMode) {
+      // Shiny is running. Register the definition with an output binding.
+      // The definition itself will not be the output binding, instead
+      // we will make an output binding object that delegates to the
+      // definition. This is because we foolishly used the same method
+      // name (renderValue) for htmlwidgets definition and Shiny bindings
+      // but they actually have quite different semantics (the Shiny
+      // bindings receive data that includes lots of metadata that it
+      // strips off before calling htmlwidgets renderValue). We can't
+      // just ignore the difference because in some widgets it's helpful
+      // to call this.renderValue() from inside of resize(), and if
+      // we're not delegating, then that call will go to the Shiny
+      // version instead of the htmlwidgets version.
+
+      // Merge defaults with definition, without mutating either.
+      var bindingDef = extend({}, defaults, definition);
+
+      // This object will be our actual Shiny binding.
+      var shinyBinding = new Shiny.OutputBinding();
+
+      // With a few exceptions, we'll want to simply use the bindingDef's
+      // version of methods if they are available, otherwise fall back to
+      // Shiny's defaults. NOTE: If Shiny's output bindings gain additional
+      // methods in the future, and we want them to be overrideable by
+      // HTMLWidget binding definitions, then we'll need to add them to this
+      // list.
+      delegateMethod(shinyBinding, bindingDef, "getId");
+      delegateMethod(shinyBinding, bindingDef, "onValueChange");
+      delegateMethod(shinyBinding, bindingDef, "onValueError");
+      delegateMethod(shinyBinding, bindingDef, "renderError");
+      delegateMethod(shinyBinding, bindingDef, "clearError");
+      delegateMethod(shinyBinding, bindingDef, "showProgress");
+
+      // The find, renderValue, and resize are handled differently, because we
+      // want to actually decorate the behavior of the bindingDef methods.
+
+      shinyBinding.find = function(scope) {
+        var results = bindingDef.find(scope);
+
+        // Only return elements that are Shiny outputs, not static ones
+        var dynamicResults = results.filter(".html-widget-output");
+
+        // It's possible that whatever caused Shiny to think there might be
+        // new dynamic outputs, also caused there to be new static outputs.
+        // Since there might be lots of different htmlwidgets bindings, we
+        // schedule execution for later--no need to staticRender multiple
+        // times.
+        if (results.length !== dynamicResults.length)
+          scheduleStaticRender();
+
+        return dynamicResults;
+      };
+
+      // Wrap renderValue to handle initialization, which unfortunately isn't
+      // supported natively by Shiny at the time of this writing.
+
+      shinyBinding.renderValue = function(el, data) {
+        Shiny.renderDependencies(data.deps);
+        // Resolve strings marked as javascript literals to objects
+        if (!(data.evals instanceof Array)) data.evals = [data.evals];
+        for (var i = 0; data.evals && i < data.evals.length; i++) {
+          window.HTMLWidgets.evaluateStringMember(data.x, data.evals[i]);
+        }
+        if (!bindingDef.renderOnNullValue) {
+          if (data.x === null) {
+            el.style.visibility = "hidden";
+            return;
+          } else {
+            el.style.visibility = "inherit";
+          }
+        }
+        if (!elementData(el, "initialized")) {
+          initSizing(el);
+
+          elementData(el, "initialized", true);
+          if (bindingDef.initialize) {
+            var rect = el.getBoundingClientRect();
+            var result = bindingDef.initialize(el, rect.width, rect.height);
+            elementData(el, "init_result", result);
+          }
+        }
+        bindingDef.renderValue(el, data.x, elementData(el, "init_result"));
+        evalAndRun(data.jsHooks.render, elementData(el, "init_result"), [el, data.x]);
+      };
+
+      // Only override resize if bindingDef implements it
+      if (bindingDef.resize) {
+        shinyBinding.resize = function(el, width, height) {
+          // Shiny can call resize before initialize/renderValue have been
+          // called, which doesn't make sense for widgets.
+          if (elementData(el, "initialized")) {
+            bindingDef.resize(el, width, height, elementData(el, "init_result"));
+          }
+        };
+      }
+
+      Shiny.outputBindings.register(shinyBinding, bindingDef.name);
+    }
+  };
+
+  var scheduleStaticRenderTimerId = null;
+  function scheduleStaticRender() {
+    if (!scheduleStaticRenderTimerId) {
+      scheduleStaticRenderTimerId = setTimeout(function() {
+        scheduleStaticRenderTimerId = null;
+        window.HTMLWidgets.staticRender();
+      }, 1);
+    }
+  }
+
+  // Render static widgets after the document finishes loading
+  // Statically render all elements that are of this widget's class
+  window.HTMLWidgets.staticRender = function() {
+    var bindings = window.HTMLWidgets.widgets || [];
+    forEach(bindings, function(binding) {
+      var matches = binding.find(document.documentElement);
+      forEach(matches, function(el) {
+        var sizeObj = initSizing(el, binding);
+
+        var getSize = function(el) {
+          if (sizeObj) {
+            return {w: sizeObj.getWidth(), h: sizeObj.getHeight()}
+          } else {
+            var rect = el.getBoundingClientRect();
+            return {w: rect.width, h: rect.height}
+          }
+        };
+
+        if (hasClass(el, "html-widget-static-bound"))
+          return;
+        el.className = el.className + " html-widget-static-bound";
+
+        var initResult;
+        if (binding.initialize) {
+          var size = getSize(el);
+          initResult = binding.initialize(el, size.w, size.h);
+          elementData(el, "init_result", initResult);
+        }
+
+        if (binding.resize) {
+          var lastSize = getSize(el);
+          var resizeHandler = function(e) {
+            var size = getSize(el);
+            if (size.w === 0 && size.h === 0)
+              return;
+            if (size.w === lastSize.w && size.h === lastSize.h)
+              return;
+            lastSize = size;
+            binding.resize(el, size.w, size.h, initResult);
+          };
+
+          on(window, "resize", resizeHandler);
+
+          // This is needed for cases where we're running in a Shiny
+          // app, but the widget itself is not a Shiny output, but
+          // rather a simple static widget. One example of this is
+          // an rmarkdown document that has runtime:shiny and widget
+          // that isn't in a render function. Shiny only knows to
+          // call resize handlers for Shiny outputs, not for static
+          // widgets, so we do it ourselves.
+          if (window.jQuery) {
+            window.jQuery(document).on(
+              "shown.htmlwidgets shown.bs.tab.htmlwidgets shown.bs.collapse.htmlwidgets",
+              resizeHandler
+            );
+            window.jQuery(document).on(
+              "hidden.htmlwidgets hidden.bs.tab.htmlwidgets hidden.bs.collapse.htmlwidgets",
+              resizeHandler
+            );
+          }
+
+          // This is needed for the specific case of ioslides, which
+          // flips slides between display:none and display:block.
+          // Ideally we would not have to have ioslide-specific code
+          // here, but rather have ioslides raise a generic event,
+          // but the rmarkdown package just went to CRAN so the
+          // window to getting that fixed may be long.
+          if (window.addEventListener) {
+            // It's OK to limit this to window.addEventListener
+            // browsers because ioslides itself only supports
+            // such browsers.
+            on(document, "slideenter", resizeHandler);
+            on(document, "slideleave", resizeHandler);
+          }
+        }
+
+        var scriptData = document.querySelector("script[data-for='" + el.id + "'][type='application/json']");
+        if (scriptData) {
+          var data = JSON.parse(scriptData.textContent || scriptData.text);
+          // Resolve strings marked as javascript literals to objects
+          if (!(data.evals instanceof Array)) data.evals = [data.evals];
+          for (var k = 0; data.evals && k < data.evals.length; k++) {
+            window.HTMLWidgets.evaluateStringMember(data.x, data.evals[k]);
+          }
+          binding.renderValue(el, data.x, initResult);
+          evalAndRun(data.jsHooks.render, initResult, [el, data.x]);
+        }
+      });
+    });
+
+    invokePostRenderHandlers();
+  }
+
+
+  function has_jQuery3() {
+    if (!window.jQuery) {
+      return false;
+    }
+    var $version = window.jQuery.fn.jquery;
+    var $major_version = parseInt($version.split(".")[0]);
+    return $major_version >= 3;
+  }
+
+  /*
+  / Shiny 1.4 bumped jQuery from 1.x to 3.x which means jQuery's
+  / on-ready handler (i.e., $(fn)) is now asyncronous (i.e., it now
+  / really means $(setTimeout(fn)).
+  / https://jquery.com/upgrade-guide/3.0/#breaking-change-document-ready-handlers-are-now-asynchronous
+  /
+  / Since Shiny uses $() to schedule initShiny, shiny>=1.4 calls initShiny
+  / one tick later than it did before, which means staticRender() is
+  / called renderValue() earlier than (advanced) widget authors might be expecting.
+  / https://github.com/rstudio/shiny/issues/2630
+  /
+  / For a concrete example, leaflet has some methods (e.g., updateBounds)
+  / which reference Shiny methods registered in initShiny (e.g., setInputValue).
+  / Since leaflet is privy to this life-cycle, it knows to use setTimeout() to
+  / delay execution of those methods (until Shiny methods are ready)
+  / https://github.com/rstudio/leaflet/blob/18ec981/javascript/src/index.js#L266-L268
+  /
+  / Ideally widget authors wouldn't need to use this setTimeout() hack that
+  / leaflet uses to call Shiny methods on a staticRender(). In the long run,
+  / the logic initShiny should be broken up so that method registration happens
+  / right away, but binding happens later.
+  */
+  function maybeStaticRenderLater() {
+    if (shinyMode && has_jQuery3()) {
+      window.jQuery(window.HTMLWidgets.staticRender);
+    } else {
+      window.HTMLWidgets.staticRender();
+    }
+  }
+
+  if (document.addEventListener) {
+    document.addEventListener("DOMContentLoaded", function() {
+      document.removeEventListener("DOMContentLoaded", arguments.callee, false);
+      maybeStaticRenderLater();
+    }, false);
+  } else if (document.attachEvent) {
+    document.attachEvent("onreadystatechange", function() {
+      if (document.readyState === "complete") {
+        document.detachEvent("onreadystatechange", arguments.callee);
+        maybeStaticRenderLater();
+      }
+    });
+  }
+
+
+  window.HTMLWidgets.getAttachmentUrl = function(depname, key) {
+    // If no key, default to the first item
+    if (typeof(key) === "undefined")
+      key = 1;
+
+    var link = document.getElementById(depname + "-" + key + "-attachment");
+    if (!link) {
+      throw new Error("Attachment " + depname + "/" + key + " not found in document");
+    }
+    return link.getAttribute("href");
+  };
+
+  window.HTMLWidgets.dataframeToD3 = function(df) {
+    var names = [];
+    var length;
+    for (var name in df) {
+        if (df.hasOwnProperty(name))
+            names.push(name);
+        if (typeof(df[name]) !== "object" || typeof(df[name].length) === "undefined") {
+            throw new Error("All fields must be arrays");
+        } else if (typeof(length) !== "undefined" && length !== df[name].length) {
+            throw new Error("All fields must be arrays of the same length");
+        }
+        length = df[name].length;
+    }
+    var results = [];
+    var item;
+    for (var row = 0; row < length; row++) {
+        item = {};
+        for (var col = 0; col < names.length; col++) {
+            item[names[col]] = df[names[col]][row];
+        }
+        results.push(item);
+    }
+    return results;
+  };
+
+  window.HTMLWidgets.transposeArray2D = function(array) {
+      if (array.length === 0) return array;
+      var newArray = array[0].map(function(col, i) {
+          return array.map(function(row) {
+              return row[i]
+          })
+      });
+      return newArray;
+  };
+  // Split value at splitChar, but allow splitChar to be escaped
+  // using escapeChar. Any other characters escaped by escapeChar
+  // will be included as usual (including escapeChar itself).
+  function splitWithEscape(value, splitChar, escapeChar) {
+    var results = [];
+    var escapeMode = false;
+    var currentResult = "";
+    for (var pos = 0; pos < value.length; pos++) {
+      if (!escapeMode) {
+        if (value[pos] === splitChar) {
+          results.push(currentResult);
+          currentResult = "";
+        } else if (value[pos] === escapeChar) {
+          escapeMode = true;
+        } else {
+          currentResult += value[pos];
+        }
+      } else {
+        currentResult += value[pos];
+        escapeMode = false;
+      }
+    }
+    if (currentResult !== "") {
+      results.push(currentResult);
+    }
+    return results;
+  }
+  // Function authored by Yihui/JJ Allaire
+  window.HTMLWidgets.evaluateStringMember = function(o, member) {
+    var parts = splitWithEscape(member, '.', '\\');
+    for (var i = 0, l = parts.length; i < l; i++) {
+      var part = parts[i];
+      // part may be a character or 'numeric' member name
+      if (o !== null && typeof o === "object" && part in o) {
+        if (i == (l - 1)) { // if we are at the end of the line then evalulate
+          if (typeof o[part] === "string")
+            o[part] = tryEval(o[part]);
+        } else { // otherwise continue to next embedded object
+          o = o[part];
+        }
+      }
+    }
+  };
+
+  // Retrieve the HTMLWidget instance (i.e. the return value of an
+  // HTMLWidget binding's initialize() or factory() function)
+  // associated with an element, or null if none.
+  window.HTMLWidgets.getInstance = function(el) {
+    return elementData(el, "init_result");
+  };
+
+  // Finds the first element in the scope that matches the selector,
+  // and returns the HTMLWidget instance (i.e. the return value of
+  // an HTMLWidget binding's initialize() or factory() function)
+  // associated with that element, if any. If no element matches the
+  // selector, or the first matching element has no HTMLWidget
+  // instance associated with it, then null is returned.
+  //
+  // The scope argument is optional, and defaults to window.document.
+  window.HTMLWidgets.find = function(scope, selector) {
+    if (arguments.length == 1) {
+      selector = scope;
+      scope = document;
+    }
+
+    var el = scope.querySelector(selector);
+    if (el === null) {
+      return null;
+    } else {
+      return window.HTMLWidgets.getInstance(el);
+    }
+  };
+
+  // Finds all elements in the scope that match the selector, and
+  // returns the HTMLWidget instances (i.e. the return values of
+  // an HTMLWidget binding's initialize() or factory() function)
+  // associated with the elements, in an array. If elements that
+  // match the selector don't have an associated HTMLWidget
+  // instance, the returned array will contain nulls.
+  //
+  // The scope argument is optional, and defaults to window.document.
+  window.HTMLWidgets.findAll = function(scope, selector) {
+    if (arguments.length == 1) {
+      selector = scope;
+      scope = document;
+    }
+
+    var nodes = scope.querySelectorAll(selector);
+    var results = [];
+    for (var i = 0; i < nodes.length; i++) {
+      results.push(window.HTMLWidgets.getInstance(nodes[i]));
+    }
+    return results;
+  };
+
+  var postRenderHandlers = [];
+  function invokePostRenderHandlers() {
+    while (postRenderHandlers.length) {
+      var handler = postRenderHandlers.shift();
+      if (handler) {
+        handler();
+      }
+    }
+  }
+
+  // Register the given callback function to be invoked after the
+  // next time static widgets are rendered.
+  window.HTMLWidgets.addPostRenderHandler = function(callback) {
+    postRenderHandlers.push(callback);
+  };
+
+  // Takes a new-style instance-bound definition, and returns an
+  // old-style class-bound definition. This saves us from having
+  // to rewrite all the logic in this file to accomodate both
+  // types of definitions.
+  function createLegacyDefinitionAdapter(defn) {
+    var result = {
+      name: defn.name,
+      type: defn.type,
+      initialize: function(el, width, height) {
+        return defn.factory(el, width, height);
+      },
+      renderValue: function(el, x, instance) {
+        return instance.renderValue(x);
+      },
+      resize: function(el, width, height, instance) {
+        return instance.resize(width, height);
+      }
+    };
+
+    if (defn.find)
+      result.find = defn.find;
+    if (defn.renderError)
+      result.renderError = defn.renderError;
+    if (defn.clearError)
+      result.clearError = defn.clearError;
+
+    return result;
+  }
+})();
diff --git a/docs/articles/plotting_files/plotly-binding-4.11.0/plotly.js b/docs/articles/cohort_dynamics_and_diffusion_files/plotly-binding-4.12.0/plotly.js
similarity index 100%
rename from docs/articles/plotting_files/plotly-binding-4.11.0/plotly.js
rename to docs/articles/cohort_dynamics_and_diffusion_files/plotly-binding-4.12.0/plotly.js
diff --git a/docs/articles/plotting_files/plotly-htmlwidgets-css-2.11.1/plotly-htmlwidgets.css b/docs/articles/cohort_dynamics_and_diffusion_files/plotly-htmlwidgets-css-2.25.2/plotly-htmlwidgets.css
similarity index 100%
rename from docs/articles/plotting_files/plotly-htmlwidgets-css-2.11.1/plotly-htmlwidgets.css
rename to docs/articles/cohort_dynamics_and_diffusion_files/plotly-htmlwidgets-css-2.25.2/plotly-htmlwidgets.css
diff --git a/docs/articles/cohort_dynamics_and_diffusion_files/plotly-main-2.25.2/plotly-latest.min.js b/docs/articles/cohort_dynamics_and_diffusion_files/plotly-main-2.25.2/plotly-latest.min.js
new file mode 100644
index 000000000..9f88c0fde
--- /dev/null
+++ b/docs/articles/cohort_dynamics_and_diffusion_files/plotly-main-2.25.2/plotly-latest.min.js
@@ -0,0 +1,8 @@
+/**
+* plotly.js v2.25.2
+* Copyright 2012-2025, Plotly, Inc.
+* All rights reserved.
+* Licensed under the MIT license
+*/
+/*! For license information please see plotly.min.js.LICENSE.txt */
+!function(t,e){"object"==typeof exports&&"object"==typeof module?module.exports=e():"function"==typeof define&&define.amd?define([],e):"object"==typeof exports?exports.Plotly=e():t.Plotly=e()}(self,function(){return function(){var t={22:function(t,e,r){"use strict";t.exports={attributes:r(74349),layoutAttributes:r(13800),supplyDefaults:r(41562).supplyDefaults,crossTraceDefaults:r(41562).crossTraceDefaults,supplyLayoutDefaults:r(2463),calc:r(6561),crossTraceCalc:r(27050).crossTraceCalc,colorbar:r(23814),arraysToCalcdata:r(3970),plot:r(3095).plot,style:r(18095).style,styleOnSelect:r(18095).styleOnSelect,hoverPoints:r(19260).hoverPoints,eventData:r(71649),selectPoints:r(40668),moduleType:"trace",name:"bar",basePlotModule:r(29435),categories:["bar-like","cartesian","svg","bar","oriented","errorBarsOK","showLegend","zoomScale"],animatable:!0,meta:{}}},134:function(t,e,r){"use strict";var n=r(5159),i=r(78945).BADNUM,a=/^['"%,$#\s']+|[, 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y=l.xpx[v],m=l.ypx[g],x=c[v],b=c[g],_=(t.scene.selectBatch||[]).slice(),w=[];if(!1!==e&&!e.degenerate)for(var T=0;T<x.length;T++)e.contains([y[T],m[T]],null,T,t)?(p.push({pointNumber:T,x:x[T],y:b[T]}),i(_,T)):-1!==_.indexOf(T)?i(_,T):w.push(T);var A=u.matrixOptions;return _.length||w.length?u.selectBatch.length||u.unselectBatch.length||u.matrix.update(u.unselectedOptions,n.extendFlat({},A,u.selectedOptions,u.viewOpts)):u.matrix.update(A,null),u.selectBatch=_,u.unselectBatch=w,p}},1414:function(t,e,r){"use strict";var n=r(7514),i=n.drawMode,a=n.openMode,o=r(483),s=o.i000,l=o.i090,u=o.i180,c=o.i270,f=o.cos45,h=o.sin45,p=r(28229),d=p.p2r,v=p.r2p,g=r(7826).clearOutline,y=r(99603),m=y.readPaths,x=y.writePaths,b=y.ellipseOver,_=y.fixDatesForPaths;function w(t,e,r){var n,i=t[0][0],o=e.gd,p=i.getAttribute("d"),g=o._fullLayout.newshape,y=e.plotinfo,w=e.isActiveShape,T=y.xaxis,A=y.yaxis,k=!!y.domain||!y.xaxis,M=!!y.domain||!y.yaxis,S=a(r),E=m(p,o,y,w),L={editable:!0,visible:g.visible,name:g.name,showlegend:g.showlegend,legend:g.legend,legendwidth:g.legendwidth,legendgroup:g.legendgroup,legendgrouptitle:{text:g.legendgrouptitle.text,font:g.legendgrouptitle.font},legendrank:g.legendrank,label:g.label,xref:k?"paper":T._id,yref:M?"paper":A._id,layer:g.layer,opacity:g.opacity,line:{color:g.line.color,width:g.line.width,dash:g.line.dash}};if(S||(L.fillcolor=g.fillcolor,L.fillrule=g.fillrule),1===E.length&&(n=E[0]),n&&5===n.length&&"drawrect"===r)L.type="rect",L.x0=n[0][1],L.y0=n[0][2],L.x1=n[2][1],L.y1=n[2][2];else if(n&&"drawline"===r)L.type="line",L.x0=n[0][1],L.y0=n[0][2],L.x1=n[1][1],L.y1=n[1][2];else if(n&&"drawcircle"===r){L.type="circle";var C=n[s][1],P=n[l][1],O=n[u][1],I=n[c][1],D=n[s][2],z=n[l][2],R=n[u][2],F=n[c][2],B=y.xaxis&&("date"===y.xaxis.type||"log"===y.xaxis.type),N=y.yaxis&&("date"===y.yaxis.type||"log"===y.yaxis.type);B&&(C=v(y.xaxis,C),P=v(y.xaxis,P),O=v(y.xaxis,O),I=v(y.xaxis,I)),N&&(D=v(y.yaxis,D),z=v(y.yaxis,z),R=v(y.yaxis,R),F=v(y.yaxis,F));var j=(P+I)/2,U=(D+R)/2,V=b({x0:j,y0:U,x1:j+(I-P+O-C)/2*f,y1:U+(F-z+R-D)/2*h});B&&(V.x0=d(y.xaxis,V.x0),V.x1=d(y.xaxis,V.x1)),N&&(V.y0=d(y.yaxis,V.y0),V.y1=d(y.yaxis,V.y1)),L.x0=V.x0,L.y0=V.y0,L.x1=V.x1,L.y1=V.y1}else L.type="path",T&&A&&_(E,T,A),L.path=x(E),n=null;return L}t.exports={newShapes:function(t,e){if(t.length&&t[0][0]){var r=e.gd,n=e.isActiveShape,a=e.dragmode,o=(r.layout||{}).shapes||[];if(!i(a)&&void 0!==n){var s=r._fullLayout._activeShapeIndex;if(s<o.length)switch(r._fullLayout.shapes[s].type){case"rect":a="drawrect";break;case"circle":a="drawcircle";break;case"line":a="drawline";break;case"path":var l=o[s].path||"";a="Z"===l[l.length-1]?"drawclosedpath":"drawopenpath"}}var u=w(t,e,a);g(r);for(var c=e.editHelpers,f=(c||{}).modifyItem,h=[],p=0;p<o.length;p++){var d=r._fullLayout.shapes[p];if(h[p]=d._input,void 0!==n&&p===r._fullLayout._activeShapeIndex){var v=u;switch(d.type){case"line":case"rect":case"circle":f("x0",v.x0),f("x1",v.x1),f("y0",v.y0),f("y1",v.y1);break;case"path":f("path",v.path)}}}return void 0===n?(h.push(u),h):c?c.getUpdateObj():{}}},createShapeObj:w}},1454:function(t,e,r){"use strict";t.exports=r(68661)},1508:function(t,e,r){"use strict";t.exports=s;var n=r(16534),i=r(69562),a=r(88191),o=r(15181);function s(t,e,r){this.gd=t,this.container=e,this.id=r,this.position=null,this.translateX=null,this.translateY=null,this.hbar=null,this.vbar=null,this.bg=this.container.selectAll("rect.scrollbox-bg").data([0]),this.bg.exit().on(".drag",null).on("wheel",null).remove(),this.bg.enter().append("rect").classed("scrollbox-bg",!0).style("pointer-events","all").attr({opacity:0,x:0,y:0,width:0,height:0})}s.barWidth=2,s.barLength=20,s.barRadius=2,s.barPad=1,s.barColor="#808BA4",s.prototype.enable=function(t,e,r){var o=this.gd._fullLayout,l=o.width,u=o.height;this.position=t;var c,f,h,p,d=this.position.l,v=this.position.w,g=this.position.t,y=this.position.h,m=this.position.direction,x="down"===m,b="left"===m,_="up"===m,w=v,T=y;x||b||"right"===m||_||(this.position.direction="down",x=!0),x||_?(f=(c=d)+w,x?(h=g,T=(p=Math.min(h+T,u))-h):T=(p=g+T)-(h=Math.max(p-T,0))):(p=(h=g)+T,b?w=(f=d+w)-(c=Math.max(f-w,0)):(c=d,w=(f=Math.min(c+w,l))-c)),this._box={l:c,t:h,w:w,h:T};var A=v>w,k=s.barLength+2*s.barPad,M=s.barWidth+2*s.barPad,S=d,E=g+y;E+M>u&&(E=u-M);var L=this.container.selectAll("rect.scrollbar-horizontal").data(A?[0]:[]);L.exit().on(".drag",null).remove(),L.enter().append("rect").classed("scrollbar-horizontal",!0).call(i.fill,s.barColor),A?(this.hbar=L.attr({rx:s.barRadius,ry:s.barRadius,x:S,y:E,width:k,height:M}),this._hbarXMin=S+k/2,this._hbarTranslateMax=w-k):(delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax);var C=y>T,P=s.barWidth+2*s.barPad,O=s.barLength+2*s.barPad,I=d+v,D=g;I+P>l&&(I=l-P);var z=this.container.selectAll("rect.scrollbar-vertical").data(C?[0]:[]);z.exit().on(".drag",null).remove(),z.enter().append("rect").classed("scrollbar-vertical",!0).call(i.fill,s.barColor),C?(this.vbar=z.attr({rx:s.barRadius,ry:s.barRadius,x:I,y:D,width:P,height:O}),this._vbarYMin=D+O/2,this._vbarTranslateMax=T-O):(delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax);var R=this.id,F=c-.5,B=C?f+P+.5:f+.5,N=h-.5,j=A?p+M+.5:p+.5,U=o._topdefs.selectAll("#"+R).data(A||C?[0]:[]);if(U.exit().remove(),U.enter().append("clipPath").attr("id",R).append("rect"),A||C?(this._clipRect=U.select("rect").attr({x:Math.floor(F),y:Math.floor(N),width:Math.ceil(B)-Math.floor(F),height:Math.ceil(j)-Math.floor(N)}),this.container.call(a.setClipUrl,R,this.gd),this.bg.attr({x:d,y:g,width:v,height:y})):(this.bg.attr({width:0,height:0}),this.container.on("wheel",null).on(".drag",null).call(a.setClipUrl,null),delete this._clipRect),A||C){var V=n.behavior.drag().on("dragstart",function(){n.event.sourceEvent.preventDefault()}).on("drag",this._onBoxDrag.bind(this));this.container.on("wheel",null).on("wheel",this._onBoxWheel.bind(this)).on(".drag",null).call(V);var H=n.behavior.drag().on("dragstart",function(){n.event.sourceEvent.preventDefault(),n.event.sourceEvent.stopPropagation()}).on("drag",this._onBarDrag.bind(this));A&&this.hbar.on(".drag",null).call(H),C&&this.vbar.on(".drag",null).call(H)}this.setTranslate(e,r)},s.prototype.disable=function(){(this.hbar||this.vbar)&&(this.bg.attr({width:0,height:0}),this.container.on("wheel",null).on(".drag",null).call(a.setClipUrl,null),delete this._clipRect),this.hbar&&(this.hbar.on(".drag",null),this.hbar.remove(),delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax),this.vbar&&(this.vbar.on(".drag",null),this.vbar.remove(),delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax)},s.prototype._onBoxDrag=function(){var t=this.translateX,e=this.translateY;this.hbar&&(t-=n.event.dx),this.vbar&&(e-=n.event.dy),this.setTranslate(t,e)},s.prototype._onBoxWheel=function(){var t=this.translateX,e=this.translateY;this.hbar&&(t+=n.event.deltaY),this.vbar&&(e+=n.event.deltaY),this.setTranslate(t,e)},s.prototype._onBarDrag=function(){var t=this.translateX,e=this.translateY;if(this.hbar){var r=t+this._hbarXMin,i=r+this._hbarTranslateMax;t=(o.constrain(n.event.x,r,i)-r)/(i-r)*(this.position.w-this._box.w)}if(this.vbar){var a=e+this._vbarYMin,s=a+this._vbarTranslateMax;e=(o.constrain(n.event.y,a,s)-a)/(s-a)*(this.position.h-this._box.h)}this.setTranslate(t,e)},s.prototype.setTranslate=function(t,e){var r=this.position.w-this._box.w,n=this.position.h-this._box.h;if(t=o.constrain(t||0,0,r),e=o.constrain(e||0,0,n),this.translateX=t,this.translateY=e,this.container.call(a.setTranslate,this._box.l-this.position.l-t,this._box.t-this.position.t-e),this._clipRect&&this._clipRect.attr({x:Math.floor(this.position.l+t-.5),y:Math.floor(this.position.t+e-.5)}),this.hbar){var i=t/r;this.hbar.call(a.setTranslate,t+i*this._hbarTranslateMax,e)}if(this.vbar){var s=e/n;this.vbar.call(a.setTranslate,t,e+s*this._vbarTranslateMax)}}},1798:function(t,e,r){"use strict";var n=r(20042),i=r(23276),a=r(79335),o=r(99012).axisHoverFormat,s=r(8357).extendFlat;t.exports=s({x:n.x,y:n.y,z:n.z,marker:n.marker,histnorm:n.histnorm,histfunc:n.histfunc,nbinsx:n.nbinsx,xbins:n.xbins,nbinsy:n.nbinsy,ybins:n.ybins,autobinx:n.autobinx,autobiny:n.autobiny,bingroup:n.bingroup,xbingroup:n.xbingroup,ybingroup:n.ybingroup,autocontour:i.autocontour,ncontours:i.ncontours,contours:i.contours,line:{color:i.line.color,width:s({},i.line.width,{dflt:.5}),dash:i.line.dash,smoothing:i.line.smoothing,editType:"plot"},xhoverformat:o("x"),yhoverformat:o("y"),zhoverformat:o("z",1),hovertemplate:n.hovertemplate,texttemplate:i.texttemplate,textfont:i.textfont},a("",{cLetter:"z",editTypeOverride:"calc"}))},1810:function(t,e,r){"use strict";var n=r(62290),i=r(37101).Dj,a=r(16534),o=r(14714),s=r(54485),l=r(43481),u=r(25623),c=r(69562),f=r(88191),h=r(15181),p=h.strTranslate,d=h.strRotate,v=r(51257),g=v.keyFun,y=v.repeat,m=v.unwrap,x=r(3071),b=r(46982),_=r(5126),w=_.CAP_SHIFT,T=_.LINE_SPACING;function A(t,e,r){var n,i=m(e),a=i.trace,c=a.domain,f="h"===a.orientation,p=a.node.pad,d=a.node.thickness,v=t.width*(c.x[1]-c.x[0]),g=t.height*(c.y[1]-c.y[0]),y=i._nodes,x=i._links,b=i.circular;(n=b?s.sankeyCircular().circularLinkGap(0):o.sankey()).iterations(l.sankeyIterations).size(f?[v,g]:[g,v]).nodeWidth(d).nodePadding(p).nodeId(function(t){return t.pointNumber}).nodes(y).links(x);var _,w,T,A=n();for(var k in n.nodePadding()<p&&h.warn("node.pad was reduced to ",n.nodePadding()," to fit within the figure."),i._groupLookup){var M,S=parseInt(i._groupLookup[k]);for(_=0;_<A.nodes.length;_++)if(A.nodes[_].pointNumber===S){M=A.nodes[_];break}if(M){var E={pointNumber:parseInt(k),x0:M.x0,x1:M.x1,y0:M.y0,y1:M.y1,partOfGroup:!0,sourceLinks:[],targetLinks:[]};A.nodes.unshift(E),M.childrenNodes.unshift(E)}}if(function(){for(_=0;_<A.nodes.length;_++){var t,e,r=A.nodes[_],n={};for(w=0;w<r.targetLinks.length;w++)t=(e=r.targetLinks[w]).source.pointNumber+":"+e.target.pointNumber,n.hasOwnProperty(t)||(n[t]=[]),n[t].push(e);var i=Object.keys(n);for(w=0;w<i.length;w++){var a=n[t=i[w]],o=0,s={};for(T=0;T<a.length;T++)s[(e=a[T]).label]||(s[e.label]=0),s[e.label]+=e.value,o+=e.value;for(T=0;T<a.length;T++)(e=a[T]).flow={value:o,labelConcentration:s[e.label]/o,concentration:e.value/o,links:a},e.concentrationscale&&(e.color=u(e.concentrationscale(e.flow.labelConcentration)))}var l=0;for(w=0;w<r.sourceLinks.length;w++)l+=r.sourceLinks[w].value;for(w=0;w<r.sourceLinks.length;w++)(e=r.sourceLinks[w]).concentrationOut=e.value/l;var c=0;for(w=0;w<r.targetLinks.length;w++)c+=r.targetLinks[w].value;for(w=0;w<r.targetLinks.length;w++)(e=r.targetLinks[w]).concenrationIn=e.value/c}}(),a.node.x.length&&a.node.y.length){for(_=0;_<Math.min(a.node.x.length,a.node.y.length,A.nodes.length);_++)if(a.node.x[_]&&a.node.y[_]){var L=[a.node.x[_]*v,a.node.y[_]*g];A.nodes[_].x0=L[0]-d/2,A.nodes[_].x1=L[0]+d/2;var C=A.nodes[_].y1-A.nodes[_].y0;A.nodes[_].y0=L[1]-C/2,A.nodes[_].y1=L[1]+C/2}"snap"===a.arrangement&&function(t){var e,r,n=t.map(function(t,e){return{x0:t.x0,index:e}}).sort(function(t,e){return t.x0-e.x0}),i=[],a=-1,o=-1/0;for(_=0;_<n.length;_++){var s=t[n[_].index];s.x0>o+d&&(a+=1,e=s.x0),o=s.x0,i[a]||(i[a]=[]),i[a].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return i}(y=A.nodes).forEach(function(t){var e,r,n,i=0,a=t.length;for(t.sort(function(t,e){return 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e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:i,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:c.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkPath:M,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,linkArrowLength:t.linkArrowLength,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function M(){return function(t){var e=t.linkArrowLength;if(t.link.circular)return function(t,e){var r=t.width/2,n=t.circularPathData;return"top"===t.circularLinkType?"M "+(n.targetX-e)+" "+(n.targetY+r)+" L"+(n.rightInnerExtent-e)+" "+(n.targetY+r)+"A"+(n.rightLargeArcRadius+r)+" "+(n.rightSmallArcRadius+r)+" 0 0 1 "+(n.rightFullExtent-r-e)+" "+(n.targetY-n.rightSmallArcRadius)+"L"+(n.rightFullExtent-r-e)+" "+n.verticalRightInnerExtent+"A"+(n.rightLargeArcRadius+r)+" "+(n.rightLargeArcRadius+r)+" 0 0 1 "+(n.rightInnerExtent-e)+" "+(n.verticalFullExtent-r)+"L"+n.leftInnerExtent+" 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r=this,n=e[r.id],i=e._size;r._hasClipOnAxisFalse=!1;for(var a=0;a<t.length;a++)if(!1===t[a][0].trace.cliponaxis){r._hasClipOnAxisFalse=!0;break}r.updateLayers(n),r.adjustLayout(n,i),p.generalUpdatePerTraceModule(r.graphDiv,r,t,n),r.layers.plotbg.select("path").call(u.fill,n.bgcolor)},S.makeFramework=function(t){var e=this,r=e.graphDiv,n=t[e.id],i=e.clipId="clip"+e.layoutId+e.id,a=e.clipIdRelative="clip-relative"+e.layoutId+e.id;e.clipDef=o.ensureSingleById(t._clips,"clipPath",i,function(t){t.append("path").attr("d","M0,0Z")}),e.clipDefRelative=o.ensureSingleById(t._clips,"clipPath",a,function(t){t.append("path").attr("d","M0,0Z")}),e.plotContainer=o.ensureSingle(e.container,"g",e.id),e.updateLayers(n),c.setClipUrl(e.layers.backplot,i,r),c.setClipUrl(e.layers.grids,i,r)},S.updateLayers=function(t){var e=this.layers,r=["draglayer","plotbg","backplot","grids"];"below traces"===t.aaxis.layer&&r.push("aaxis","aline"),"below traces"===t.baxis.layer&&r.push("baxis","bline"),"below 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r,n,i,a,o,l,p=this,d=t.domain,v=(d.x[0]+d.x[1])/2,g=(d.y[0]+d.y[1])/2,y=d.x[1]-d.x[0],m=d.y[1]-d.y[0],x=y*e.w,b=m*e.h,_=t.sum,w=t.aaxis.min,T=t.baxis.min,A=t.caxis.min;x>E*b?i=(a=b)*E:a=(i=x)/E,o=y*i/x,l=m*a/b,r=e.l+e.w*v-i/2,n=e.t+e.h*(1-g)-a/2,p.x0=r,p.y0=n,p.w=i,p.h=a,p.sum=_,p.xaxis={type:"linear",range:[w+2*A-_,_-w-2*T],domain:[v-o/2,v+o/2],_id:"x"},f(p.xaxis,p.graphDiv._fullLayout),p.xaxis.setScale(),p.xaxis.isPtWithinRange=function(t){return t.a>=p.aaxis.range[0]&&t.a<=p.aaxis.range[1]&&t.b>=p.baxis.range[1]&&t.b<=p.baxis.range[0]&&t.c>=p.caxis.range[1]&&t.c<=p.caxis.range[0]},p.yaxis={type:"linear",range:[w,_-T-A],domain:[g-l/2,g+l/2],_id:"y"},f(p.yaxis,p.graphDiv._fullLayout),p.yaxis.setScale(),p.yaxis.isPtWithinRange=function(){return!0};var k=p.yaxis.domain[0],M=p.aaxis=h({},t.aaxis,{range:[w,_-T-A],side:"left",tickangle:(+t.aaxis.tickangle||0)-30,domain:[k,k+l*E],anchor:"free",position:0,_id:"y",_length:i});f(M,p.graphDiv._fullLayout),M.setScale();var 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r=t/M.xaxis._m,n=e/M.yaxis._m,i=[(p={a:f.a-n,b:f.b+(r+n)/2,c:f.c-(r-n)/2}).a,p.b,p.c].sort(o.sorterAsc),a=i.indexOf(p.a),l=i.indexOf(p.b),u=i.indexOf(p.c);i[0]<0&&(i[1]+i[0]/2<0?(i[2]+=i[0]+i[1],i[0]=i[1]=0):(i[2]+=i[0]/2,i[1]+=i[0]/2,i[0]=0),p={a:i[a],b:i[l],c:i[u]},e=(f.a-p.a)*M.yaxis._m,t=(f.c-p.c-f.b+p.b)*M.xaxis._m);var h=s(M.x0+t,M.y0+e);M.plotContainer.selectAll(".scatterlayer,.maplayer").attr("transform",h);var d=s(-t,-e);M.clipDefRelative.select("path").attr("transform",d),M.aaxis.range=[p.a,M.sum-p.b-p.c],M.baxis.range=[M.sum-p.a-p.c,p.b],M.caxis.range=[M.sum-p.a-p.b,p.c],M.drawAxes(!1),M._hasClipOnAxisFalse&&M.plotContainer.select(".scatterlayer").selectAll(".trace").call(c.hideOutsideRangePoints,M),L.emit("plotly_relayouting",R(p))}function 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scale\n      + (positionFract + translateFract) * scale\n      + (position + translate) * scaleFract\n      + (positionFract + translateFract) * scaleFract;\n\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\n\n  fragColor = color;\n  fragBorderColor = borderColor;\n  fragWidth = 1. / gl_PointSize;\n\n  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\n  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\n}\n"]),this.drawMarker=t(s);var l=f({},o);l.frag=h(["precision highp float;\n#define GLSLIFY 1\n\nvarying vec4 fragColor, fragBorderColor;\nvarying float fragBorderRadius, fragWidth;\n\nuniform float opacity;\n\nfloat smoothStep(float edge0, float edge1, float x) {\n\tfloat t;\n\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\n\treturn t * t * (3.0 - 2.0 * t);\n}\n\nvoid main() {\n\tfloat radius, alpha = 1.0, delta = fragWidth;\n\n\tradius = length(2.0 * gl_PointCoord.xy - 1.0);\n\n\tif (radius > 1.0 + delta) {\n\t\tdiscard;\n\t}\n\n\talpha -= smoothstep(1.0 - delta, 1.0 + delta, radius);\n\n\tfloat borderRadius = fragBorderRadius;\n\tfloat ratio = smoothstep(borderRadius - delta, borderRadius + delta, radius);\n\tvec4 color = mix(fragColor, fragBorderColor, ratio);\n\tcolor.a *= alpha * opacity;\n\tgl_FragColor = color;\n}\n"]),l.vert=h(["precision highp float;\n#define GLSLIFY 1\n\nattribute float x, y, xFract, yFract;\nattribute float size, borderSize;\nattribute vec4 colorId, borderColorId;\nattribute float isActive;\n\n// `invariant` effectively turns off optimizations for the position.\n// We need this because -fast-math on M1 Macs is re-ordering\n// floating point operations in a way that causes floating point\n// precision limits to put points in the wrong locations.\ninvariant gl_Position;\n\nuniform bool constPointSize;\nuniform float pixelRatio;\nuniform vec2 paletteSize, scale, scaleFract, translate, translateFract;\nuniform sampler2D paletteTexture;\n\nconst float maxSize = 100.;\n\nvarying vec4 fragColor, fragBorderColor;\nvarying float fragBorderRadius, fragWidth;\n\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\n\nbool isDirect = (paletteSize.x < 1.);\n\nvec4 getColor(vec4 id) {\n  return isDirect ? id / 255. : texture2D(paletteTexture,\n    vec2(\n      (id.x + .5) / paletteSize.x,\n      (id.y + .5) / paletteSize.y\n    )\n  );\n}\n\nvoid main() {\n  // ignore inactive points\n  if (isActive == 0.) return;\n\n  vec2 position = vec2(x, y);\n  vec2 positionFract = vec2(xFract, yFract);\n\n  vec4 color = getColor(colorId);\n  vec4 borderColor = getColor(borderColorId);\n\n  float size = size * maxSize / 255.;\n  float borderSize = borderSize * maxSize / 255.;\n\n  gl_PointSize = (size + borderSize) * pointSizeScale;\n\n  vec2 pos = (position + translate) * scale\n      + (positionFract + translateFract) * scale\n      + (position + translate) * scaleFract\n      + (positionFract + translateFract) * scaleFract;\n\n  gl_Position = vec4(pos * 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g=0,x=0;if(d(n,e,[{snap:!0,size:function(t,e){return null==t&&(t=b.defaults.size),g+=t&&t.length?1:0,t},borderSize:function(t,e){return null==t&&(t=b.defaults.borderSize),g+=t&&t.length?1:0,t},opacity:parseFloat,color:function(e,r){return null==e&&(e=b.defaults.color),e=t.updateColor(e),x++,e},borderColor:function(e,r){return null==e&&(e=b.defaults.borderColor),e=t.updateColor(e),x++,e},bounds:function(t,e,r){return"range"in r||(r.range=null),t},positions:function(t,e,r){var n=e.snap,i=e.positionBuffer,a=e.positionFractBuffer,s=e.selectionBuffer;if(t.x||t.y)return t.x.length?e.xAttr={buffer:o.buffer(t.x),offset:0,stride:4,count:t.x.length}:e.xAttr={buffer:t.x.buffer,offset:4*t.x.offset||0,stride:4*(t.x.stride||1),count:t.x.count},t.y.length?e.yAttr={buffer:o.buffer(t.y),offset:0,stride:4,count:t.y.length}:e.yAttr={buffer:t.y.buffer,offset:4*t.y.offset||0,stride:4*(t.y.stride||1),count:t.y.count},e.count=Math.max(e.xAttr.count,e.yAttr.count),t;t=v(t,"float64");var u=e.count=Math.floor(t.length/2),f=e.bounds=u?l(t,2):null;if(r.range||e.range||(delete e.range,r.range=f),r.marker||e.marker||(delete e.marker,r.marker=null),n&&(!0===n||u>n)?e.tree=c(t,{bounds:f}):n&&n.length&&(e.tree=n),e.tree){var h={primitive:"points",usage:"static",data:e.tree,type:"uint32"};e.elements?e.elements(h):e.elements=o.elements(h)}var p=y.float32(t);return i({data:p,usage:"dynamic"}),a({data:y.fract32(t,p),usage:"dynamic"}),s({data:new Uint8Array(u),type:"uint8",usage:"stream"}),t}},{marker:function(e,r,n){var i=r.activation;if(i.forEach(function(t){return t&&t.destroy&&t.destroy()}),i.length=0,e&&"number"!=typeof e[0]){for(var a=[],s=0,l=Math.min(e.length,r.count);s<l;s++){var u=t.addMarker(e[s]);a[u]||(a[u]=new Uint8Array(r.count)),a[u][s]=1}for(var c=0;c<a.length;c++)if(a[c]){var f={data:a[c],type:"uint8",usage:"static"};i[c]?i[c](f):i[c]=o.buffer(f),i[c].data=a[c]}}else i[t.addMarker(e)]=!0;return e},range:function(t,e,r){var n=e.bounds;if(n)return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=y.fract(e.scale),e.translateFract=y.fract(e.translate),t},viewport:function(t){return m(t||[a.drawingBufferWidth,a.drawingBufferHeight])}}]),g){var _=n,w=_.count,T=_.size,A=_.borderSize,k=_.sizeBuffer,M=new Uint8Array(2*w);if(T.length||A.length)for(var S=0;S<w;S++)M[2*S]=Math.round(255*(null==T[S]?T:T[S])/s),M[2*S+1]=Math.round(255*(null==A[S]?A:A[S])/s);k({data:M,usage:"dynamic"})}if(x){var E,L=n,C=L.count,P=L.color,O=L.borderColor,I=L.colorBuffer;if(t.tooManyColors){if(P.length||O.length){E=new Uint8Array(8*C);for(var D=0;D<C;D++){var z=P[D];E[8*D]=h[4*z],E[8*D+1]=h[4*z+1],E[8*D+2]=h[4*z+2],E[8*D+3]=h[4*z+3];var R=O[D];E[8*D+4]=h[4*R],E[8*D+5]=h[4*R+1],E[8*D+6]=h[4*R+2],E[8*D+7]=h[4*R+3]}}}else if(P.length||O.length){E=new Uint8Array(4*C+2);for(var F=0;F<C;F++)null!=P[F]&&(E[4*F]=P[F]%u,E[4*F+1]=Math.floor(P[F]/u)),null!=O[F]&&(E[4*F+2]=O[F]%u,E[4*F+3]=Math.floor(O[F]/u))}I({data:E||new 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null:case"Point":case"LineString":case"Polygon":return!1!==e(n.feature(t,i,{bbox:a,id:o}),r,0)&&void 0}switch(l){case"MultiPoint":s="Point";break;case"MultiLineString":s="LineString";break;case"MultiPolygon":s="Polygon"}for(var u=0;u<t.coordinates.length;u++){var c={type:s,coordinates:t.coordinates[u]};if(!1===e(n.feature(c,i),r,u))return!1}})}function u(t,e){l(t,function(t,r,a){var o=0;if(t.geometry){var s=t.geometry.type;if("Point"!==s&&"MultiPoint"!==s){var l,u=0,c=0,f=0;return!1!==i(t,function(i,s,h,p,d){if(void 0===l||r>u||p>c||d>f)return l=i,u=r,c=p,f=d,void(o=0);var v=n.lineString([l,i],t.properties);if(!1===e(v,r,a,d,o))return!1;o++,l=i})&&void 0}}})}function c(t,e){if(!t)throw new Error("geojson is required");l(t,function(t,r,i){if(null!==t.geometry){var a=t.geometry.type,o=t.geometry.coordinates;switch(a){case"LineString":if(!1===e(t,r,i,0,0))return!1;break;case"Polygon":for(var s=0;s<o.length;s++)if(!1===e(n.lineString(o[s],t.properties),r,i,s))return!1}}})}e.coordAll=function(t){var e=[];return i(t,function(t){e.push(t)}),e},e.coordEach=i,e.coordReduce=function(t,e,r,n){var a=r;return i(t,function(t,n,i,o,s){a=0===n&&void 0===r?t:e(a,t,n,i,o,s)},n),a},e.featureEach=o,e.featureReduce=function(t,e,r){var n=r;return o(t,function(t,i){n=0===i&&void 0===r?t:e(n,t,i)}),n},e.findPoint=function(t,e){if(e=e||{},!n.isObject(e))throw new Error("options is invalid");var r,i=e.featureIndex||0,a=e.multiFeatureIndex||0,o=e.geometryIndex||0,s=e.coordIndex||0,l=e.properties;switch(t.type){case"FeatureCollection":i<0&&(i=t.features.length+i),l=l||t.features[i].properties,r=t.features[i].geometry;break;case"Feature":l=l||t.properties,r=t.geometry;break;case"Point":case"MultiPoint":return null;case"LineString":case"Polygon":case"MultiLineString":case"MultiPolygon":r=t;break;default:throw new Error("geojson is invalid")}if(null===r)return null;var u=r.coordinates;switch(r.type){case"Point":return n.point(u,l,e);case"MultiPoint":return a<0&&(a=u.length+a),n.point(u[a],l,e);case"LineString":return s<0&&(s=u.length+s),n.point(u[s],l,e);case"Polygon":return o<0&&(o=u.length+o),s<0&&(s=u[o].length+s),n.point(u[o][s],l,e);case"MultiLineString":return a<0&&(a=u.length+a),s<0&&(s=u[a].length+s),n.point(u[a][s],l,e);case"MultiPolygon":return a<0&&(a=u.length+a),o<0&&(o=u[a].length+o),s<0&&(s=u[a][o].length-s),n.point(u[a][o][s],l,e)}throw new Error("geojson is invalid")},e.findSegment=function(t,e){if(e=e||{},!n.isObject(e))throw new Error("options is invalid");var r,i=e.featureIndex||0,a=e.multiFeatureIndex||0,o=e.geometryIndex||0,s=e.segmentIndex||0,l=e.properties;switch(t.type){case"FeatureCollection":i<0&&(i=t.features.length+i),l=l||t.features[i].properties,r=t.features[i].geometry;break;case"Feature":l=l||t.properties,r=t.geometry;break;case"Point":case"MultiPoint":return null;case"LineString":case"Polygon":case"MultiLineString":case"MultiPolygon":r=t;break;default:throw new Error("geojson is invalid")}if(null===r)return null;var u=r.coordinates;switch(r.type){case"Point":case"MultiPoint":return null;case"LineString":return s<0&&(s=u.length+s-1),n.lineString([u[s],u[s+1]],l,e);case"Polygon":return o<0&&(o=u.length+o),s<0&&(s=u[o].length+s-1),n.lineString([u[o][s],u[o][s+1]],l,e);case"MultiLineString":return a<0&&(a=u.length+a),s<0&&(s=u[a].length+s-1),n.lineString([u[a][s],u[a][s+1]],l,e);case"MultiPolygon":return a<0&&(a=u.length+a),o<0&&(o=u[a].length+o),s<0&&(s=u[a][o].length-s-1),n.lineString([u[a][o][s],u[a][o][s+1]],l,e)}throw new Error("geojson is invalid")},e.flattenEach=l,e.flattenReduce=function(t,e,r){var n=r;return l(t,function(t,i,a){n=0===i&&0===a&&void 0===r?t:e(n,t,i,a)}),n},e.geomEach=s,e.geomReduce=function(t,e,r){var n=r;return s(t,function(t,i,a,o,s){n=0===i&&void 0===r?t:e(n,t,i,a,o,s)}),n},e.lineEach=c,e.lineReduce=function(t,e,r){var n=r;return c(t,function(t,i,a,o){n=0===i&&void 0===r?t:e(n,t,i,a,o)}),n},e.propEach=a,e.propReduce=function(t,e,r){var n=r;return a(t,function(t,i){n=0===i&&void 0===r?t:e(n,t,i)}),n},e.segmentEach=u,e.segmentReduce=function(t,e,r){var n=r,i=!1;return u(t,function(t,a,o,s,l){n=!1===i&&void 0===r?t:e(n,t,a,o,s,l),i=!0}),n}},22522:function(t,e,r){"use strict";var n=r(5938),i=r(93712);t.exports=function(){var t=i();return n(Number,{isNaN:t},{isNaN:function(){return Number.isNaN!==t}}),t}},22620:function(t,e,r){"use strict";t.exports=r(25579)},22715:function(t,e,r){"use strict";var n=r(93950).gl_surface3d,i=r(93950).ndarray,a=r(93950).ndarray_linear_interpolate.d2,o=r(76931),s=r(89374),l=r(15181).isArrayOrTypedArray,u=r(53914).parseColorScale,c=r(98054),f=r(44236).extractOpts;function h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?i:n.d2l(i,0,r)},p.getZat=function(t,e,r,n){var i=this.data.z[e][t];return null===i&&this.data.connectgaps&&this.data._interpolatedZ&&(i=this.data._interpolatedZ[e][t]),void 0===r?i:n.d2l(i,0,r)},p.handlePick=function(t){if(t.object===this.surface){var e=(t.data.index[0]-1)/this.dataScaleX-1,r=(t.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(e),this.data.z[0].length-1),0),i=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);t.index=[n,i],t.traceCoordinate=[this.getXat(n,i),this.getYat(n,i),this.getZat(n,i)],t.dataCoordinate=[this.getXat(n,i,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,i,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,i,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var a=0;a<3;a++){null!=t.dataCoordinate[a]&&(t.dataCoordinate[a]*=this.scene.dataScale[a])}var o=this.data.hovertext||this.data.text;return Array.isArray(o)&&o[i]&&void 0!==o[i][n]?t.textLabel=o[i][n]:t.textLabel=o||"",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var d=[2,3,5,7,11,13,17,19,23,29,31,37,41,43,47,53,59,61,67,71,73,79,83,89,97,101,103,107,109,113,127,131,137,139,149,151,157,163,167,173,179,181,191,193,197,199,211,223,227,229,233,239,241,251,257,263,269,271,277,281,283,293,307,311,313,317,331,337,347,349,353,359,367,373,379,383,389,397,401,409,419,421,431,433,439,443,449,457,461,463,467,479,487,491,499,503,509,521,523,541,547,557,563,569,571,577,587,593,599,601,607,613,617,619,631,641,643,647,653,659,661,673,677,683,691,701,709,719,727,733,739,743,751,757,761,769,773,787,797,809,811,821,823,827,829,839,853,857,859,863,877,881,883,887,907,911,919,929,937,941,947,953,967,971,977,983,991,997,1009,1013,1019,1021,1031,1033,1039,1049,1051,1061,1063,1069,1087,1091,1093,1097,1103,1109,1117,1123,1129,1151,1153,1163,1171,1181,1187,1193,1201,1213,1217,1223,1229,1231,1237,1249,1259,1277,1279,1283,1289,1291,1297,1301,1303,1307,1319,1321,1327,1361,1367,1373,1381,1399,1409,1423,1427,1429,1433,1439,1447,1451,1453,1459,1471,1481,1483,1487,1489,1493,1499,1511,1523,1531,1543,1549,1553,1559,1567,1571,1579,1583,1597,1601,1607,1609,1613,1619,1621,1627,1637,1657,1663,1667,1669,1693,1697,1699,1709,1721,1723,1733,1741,1747,1753,1759,1777,1783,1787,1789,1801,1811,1823,1831,1847,1861,1867,1871,1873,1877,1879,1889,1901,1907,1913,1931,1933,1949,1951,1973,1979,1987,1993,1997,1999,2003,2011,2017,2027,2029,2039,2053,2063,2069,2081,2083,2087,2089,2099,2111,2113,2129,2131,2137,2141,2143,2153,2161,2179,2203,2207,2213,2221,2237,2239,2243,2251,2267,2269,2273,2281,2287,2293,2297,2309,2311,2333,2339,2341,2347,2351,2357,2371,2377,2381,2383,2389,2393,2399,2411,2417,2423,2437,2441,2447,2459,2467,2473,2477,2503,2521,2531,2539,2543,2549,2551,2557,2579,2591,2593,2609,2617,2621,2633,2647,2657,2659,2663,2671,2677,2683,2687,2689,2693,2699,2707,2711,2713,2719,2729,2731,2741,2749,2753,2767,2777,2789,2791,2797,2801,2803,2819,2833,2837,2843,2851,2857,2861,2879,2887,2897,2903,2909,2917,2927,2939,2953,2957,2963,2969,2971,2999];function v(t,e){if(t<e)return 0;for(var r=0;0===Math.floor(t%e);)t/=e,r++;return r}function g(t){for(var e=[],r=0;r<d.length;r++){var n=d[r];e.push(v(t,n))}return e}function y(t){for(var e=g(t),r=t,n=0;n<d.length;n++)if(e[n]>0){r=d[n];break}return r}function m(t,e){if(!(t<1||e<1)){for(var r=g(t),n=g(e),i=1,a=0;a<d.length;a++)i*=Math.pow(d[a],Math.max(r[a],n[a]));return i}}p.calcXnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getXat(e-1,0),i=this.getXat(e,0);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r},p.calcYnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getYat(0,e-1),i=this.getYat(0,e);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r};var x=[1,2,4,6,12,24,36,48,60,120,180,240,360,720,840,1260],b=x[9],_=x[13];function w(t,e,r){var n=r[8]+r[2]*e[0]+r[5]*e[1];return t[0]=(r[6]+r[0]*e[0]+r[3]*e[1])/n,t[1]=(r[7]+r[1]*e[0]+r[4]*e[1])/n,t}function T(t,e,r){return function(t,e,r,n){for(var i=[0,0],o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var u=0;u<s;u++)r(i,[l,u],n),t.set(l,u,a(e,i[0],i[1]))}(t,e,w,r),t}function A(t,e){for(var r=!1,n=0;n<t.length;n++)if(e===t[n]){r=!0;break}!1===r&&t.push(e)}p.estimateScale=function(t,e){for(var r=1+function(t){if(0!==t.length){for(var e=1,r=0;r<t.length;r++)e=m(e,t[r]);return e}}(0===e?this.calcXnums(t):this.calcYnums(t));r<b;)r*=2;for(;r>_;)r--,r/=y(r),++r<b&&(r=_);var n=Math.round(r/t);return n>1?n:1},p.refineCoords=function(t){for(var e=this.dataScaleX,r=this.dataScaleY,n=t[0].shape[0],a=t[0].shape[1],o=0|Math.floor(t[0].shape[0]*e+1),s=0|Math.floor(t[0].shape[1]*r+1),l=1+n+1,u=1+a+1,c=i(new Float32Array(l*u),[l,u]),f=[1/e,0,0,0,1/r,0,0,0,1],h=0;h<t.length;++h){this.surface.padField(c,t[h]);var p=i(new Float32Array(o*s),[o,s]);T(p,c,f),t[h]=p}},p.setContourLevels=function(){var t,e,r,n=[[],[],[]],i=[!1,!1,!1],a=!1;for(t=0;t<3;++t)if(this.showContour[t]&&(a=!0,this.contourSize[t]>0&&null!==this.contourStart[t]&&null!==this.contourEnd[t]&&this.contourEnd[t]>this.contourStart[t]))for(i[t]=!0,e=this.contourStart[t];e<this.contourEnd[t];e+=this.contourSize[t])r=e*this.scene.dataScale[t],A(n[t],r);if(a){var o=[[],[],[]];for(t=0;t<3;++t)this.showContour[t]&&(o[t]=i[t]?n[t]:this.scene.contourLevels[t]);this.surface.update({levels:o})}},p.update=function(t){var e,r,n,a,l=this.scene,h=l.fullSceneLayout,p=this.surface,d=u(t),v=l.dataScale,g=t.z[0].length,y=t._ylength,m=l.contourLevels;this.data=t;var x=[];for(e=0;e<3;e++)for(x[e]=[],r=0;r<g;r++)x[e][r]=[];for(r=0;r<g;r++)for(n=0;n<y;n++)x[0][r][n]=this.getXat(r,n,t.xcalendar,h.xaxis),x[1][r][n]=this.getYat(r,n,t.ycalendar,h.yaxis),x[2][r][n]=this.getZat(r,n,t.zcalendar,h.zaxis);if(t.connectgaps)for(t._emptypoints=s(x[2]),o(x[2],t._emptypoints),t._interpolatedZ=[],r=0;r<g;r++)for(t._interpolatedZ[r]=[],n=0;n<y;n++)t._interpolatedZ[r][n]=x[2][r][n];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<y;n++)null==(a=x[e][r][n])?x[e][r][n]=NaN:a=x[e][r][n]*=v[e];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<y;n++)null!=(a=x[e][r][n])&&(this.minValues[e]>a&&(this.minValues[e]=a),this.maxValues[e]<a&&(this.maxValues[e]=a));for(e=0;e<3;e++)this.objectOffset[e]=.5*(this.minValues[e]+this.maxValues[e]);for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<y;n++)null!=(a=x[e][r][n])&&(x[e][r][n]-=this.objectOffset[e]);var b=[i(new Float32Array(g*y),[g,y]),i(new Float32Array(g*y),[g,y]),i(new 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L=(v+.5)/84;e.maskBreaks(i*(1-L)+L*p)!==O&&d++}(h*=d/84)||(t[n].drop=!0),s&&c>k&&(h=c)}(h>0||0===n)&&(t[n].periodX=i+h/2)}}(C,t,t._definedDelta),t.rangebreaks){var ot="y"===t._id.charAt(0),st=1;"auto"===t.tickmode&&(st=t.tickfont?t.tickfont.size:12);var lt=NaN;for(r=C.length-1;r>-1;r--)if(C[r].drop)C.splice(r,1);else{C[r].value=Dt(C[r].value,t);var ut=t.c2p(C[r].value);(ot?lt>ut-st:lt<ut+st)?C.splice(f?r+1:r,1):lt=ut}}It(t)&&360===Math.abs(c[1]-c[0])&&C.pop(),t._tmax=(C[C.length-1]||{}).value,t._prevDateHead="",t._inCalcTicks=!0;var ct,ft,ht=function(e){e.text="",t._prevDateHead=n};for(C=C.concat(P),r=0;r<C.length;r++){var pt=C[r].minor,dt=C[r].value;pt?L.push({x:dt,minor:!0}):(n=t._prevDateHead,ct=q.tickText(t,dt,!1,C[r].simpleLabel),void 0!==(ft=C[r].periodX)&&(ct.periodX=ft,(ft>p||ft<h)&&(ft>p&&(ct.periodX=p),ft<h&&(ct.periodX=h),ht(ct))),C[r].skipLabel&&ht(ct),v.push(ct))}return v=v.concat(L),t._inCalcTicks=!1,u&&v.length&&(v[0].noTick=!0),v};var 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if("log"===t.type){t.tick0=0;var c=s.simpleMap(t.range,t.r2l);if(t._isMinor&&(e*=1.5),e>.7)t.dtick=Math.ceil(e);else if(Math.abs(c[1]-c[0])<1){var f=1.5*Math.abs((c[1]-c[0])/e);e=Math.abs(Math.pow(10,c[1])-Math.pow(10,c[0]))/f,n=a(10),t.dtick="L"+pt(e,n,ot)}else t.dtick=e>.3?"D2":"D1"}else"category"===t.type||"multicategory"===t.type?(t.tick0=0,t.dtick=Math.ceil(Math.max(e,1))):It(t)?(t.tick0=0,n=1,t.dtick=pt(e,n,ht)):(t.tick0=0,n=a(10),t.dtick=pt(e,n,ot));if(0===t.dtick&&(t.dtick=1),!i(t.dtick)&&"string"!=typeof t.dtick){var h=t.dtick;throw t.dtick=1,"ax.dtick error: "+String(h)}},q.tickIncrement=function(t,e,r,a){var o=r?-1:1;if(i(e))return s.increment(t,o*e);var l=e.charAt(0),u=o*Number(e.substr(1));if("M"===l)return s.incrementMonth(t,u,a);if("L"===l)return Math.log(Math.pow(10,t)+u)/Math.LN10;if("D"===l){var c="D2"===e?ft:ct,f=t+.01*o,h=s.roundUp(s.mod(f,1),c,r);return Math.floor(f)+Math.log(n.round(Math.pow(10,h),1))/Math.LN10}throw"unrecognized dtick 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i=e&&e.length,a=i?e[0]*r:t.length,o=Math.abs(M(t,0,a,r));if(i)for(var s=0,l=e.length;s<l;s++){var u=e[s]*r,c=s<l-1?e[s+1]*r:t.length;o-=Math.abs(M(t,u,c,r))}var f=0;for(s=0;s<n.length;s+=3){var h=n[s]*r,p=n[s+1]*r,d=n[s+2]*r;f+=Math.abs((t[h]-t[d])*(t[p+1]-t[h+1])-(t[h]-t[p])*(t[d+1]-t[h+1]))}return 0===o&&0===f?0:Math.abs((f-o)/o)},e.flatten=function(t){for(var e=t[0][0].length,r={vertices:[],holes:[],dimensions:e},n=0,i=0;i<t.length;i++){for(var a=0;a<t[i].length;a++)for(var o=0;o<e;o++)r.vertices.push(t[i][a][o]);i>0&&(n+=t[i-1].length,r.holes.push(n))}return r}},38793:function(t,e,r){"use strict";var n=r(93441),i=r(15181),a=r(26446),o=r(44236).extractOpts;t.exports=function(t,e,r,s,l){l||(l={});var u,c,f,h,p=l.isContour,d=t.cd[0],v=d.trace,g=t.xa,y=t.ya,m=d.x,x=d.y,b=d.z,_=d.xCenter,w=d.yCenter,T=d.zmask,A=v.zhoverformat,k=m,M=x;if(!1!==t.index){try{f=Math.round(t.index[1]),h=Math.round(t.index[0])}catch(e){return void i.error("Error hovering on heatmap, pointNumber must be 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A(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context._scrollZoom.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=h(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=u(this.glplot),this.selectBox=c(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}t.exports=A;var k=A.prototype;k.makeFramework=function(){if(this.staticPlot){if(!(i||(n=document.createElement("canvas"),i=f({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error("Error creating static canvas/context for image server");this.canvas=n,this.gl=i}else{var t=this.container.querySelector(".gl-canvas-focus"),e=f({canvas:t,preserveDrawingBuffer:!0,premultipliedAlpha:!0});if(!e)return d(this),void(this.stopped=!0);this.canvas=t,this.gl=e}var r=this.canvas;r.style.width="100%",r.style.height="100%",r.style.position="absolute",r.style.top="0px",r.style.left="0px",r.style["pointer-events"]="none",this.updateSize(r);var a=this.svgContainer=document.createElementNS("http://www.w3.org/2000/svg","svg");a.style.position="absolute",a.style.top=a.style.left="0px",a.style.width=a.style.height="100%",a.style["z-index"]=20,a.style["pointer-events"]="none";var o=this.mouseContainer=document.createElement("div");o.style.position="absolute",o.style["pointer-events"]="auto",this.pickCanvas=this.container.querySelector(".gl-canvas-pick");var s=this.container;s.appendChild(a),s.appendChild(o);var l=this;o.addEventListener("mouseout",function(){l.isMouseOver=!1,l.unhover()}),o.addEventListener("mouseover",function(){l.isMouseOver=!0})},k.toImage=function(t){t||(t="png"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a);for(var o=0,s=i-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var u=0;u<4;++u){var c=a[4*(r*o+l)+u];a[4*(r*o+l)+u]=a[4*(r*s+l)+u],a[4*(r*s+l)+u]=c}var f=document.createElement("canvas");f.width=r,f.height=i;var h,p=f.getContext("2d",{willReadFrequently:!0}),d=p.createImageData(r,i);switch(d.data.set(a),p.putImageData(d,0,0),t){case"jpeg":h=f.toDataURL("image/jpeg");break;case"webp":h=f.toDataURL("image/webp");break;default:h=f.toDataURL("image/png")}return this.staticPlot&&this.container.removeChild(n),h},k.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,i=r.height,a=0|Math.ceil(e*n),o=0|Math.ceil(e*i);return t.width===a&&t.height===o||(t.width=a,t.height=o),t},k.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+"";return t},k.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(T),r="xaxis"+e[1],n="yaxis"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},k.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,i={},o=i[e._name+".range"]=e.range.slice(),s=i[r._name+".range"]=r.range.slice();i[e._name+".autorange"]=e.autorange,i[r._name+".autorange"]=r.autorange,a.call("_storeDirectGUIEdit",t.layout,t._fullLayout._preGUI,i);var l=n[e._name];l.range=o,l.autorange=e.autorange;var u=n[r._name];u.range=s,u.autorange=r.autorange,i.lastInputTime=this.camera.lastInputTime,t.emit("plotly_relayout",i)},k.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;a<n.length;++a)if(n[a].x!==i[a].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},k.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&a.getComponentMethod("annotations","drawOne")(t,r)}},k.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map(function(e){t[e].dispose(),delete t[e]}),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener("wheel",this.camera.wheelListener),this.camera=null}},k.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var i=r.width,a=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,i,a];var s={_fullLayout:{_axisConstraintGroups:r._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis,_size:r._size}};y(s,this.xaxis),y(s,this.yaxis);var l,u,c=r._size,f=this.xaxis.domain,h=this.yaxis.domain;for(o.viewBox=[c.l+f[0]*c.w,c.b+h[0]*c.h,i-c.r-(1-f[1])*c.w,a-c.t-(1-h[1])*c.h],this.mouseContainer.style.width=c.w*(f[1]-f[0])+"px",this.mouseContainer.style.height=c.h*(h[1]-h[0])+"px",this.mouseContainer.height=c.h*(h[1]-h[0]),this.mouseContainer.style.left=c.l+f[0]*c.w+"px",this.mouseContainer.style.top=c.t+(1-h[1])*c.h+"px",u=0;u<2;++u)(l=this[w[u]])._length=o.viewBox[u+2]-o.viewBox[u],m(this.graphDiv,l),l.setScale();g(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},k.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,i=t.r2l,a=e.r2l;return[i(r[0]),a(n[0]),i(r[1]),a(n[1])]},k.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,i=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[i(t[1]),i(t[3])]},k.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if((i=t[n]).uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){i=t[r];var l=e[r],u=this.traces[i.uid];u?u.update(i,l):(u=i._module.plot(this,i,l),this.traces[i.uid]=u)}this.glplot.objects.sort(function(t,e){return t._trace.index-e._trace.index})},k.updateFx=function(t){_(t)||b(t)?(this.pickCanvas.style["pointer-events"]="none",this.mouseContainer.style["pointer-events"]="none"):(this.pickCanvas.style["pointer-events"]="auto",this.mouseContainer.style["pointer-events"]="auto"),this.mouseContainer.style.cursor="pan"===t?"move":"zoom"===t?"crosshair":null},k.emitPointAction=function(t,e){for(var r,n=t.trace.uid,i=t.pointIndex,a=0;a<this.fullData.length;a++)this.fullData[a].uid===n&&(r=this.fullData[a]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:i,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,i),this.graphDiv.emit(e,{points:[o]})},k.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,i=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var a,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&"zoom"===i.dragmode){this.selectBox.enabled=!0;for(var u=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],c=0;c<2;c++)e.boxStart[c]===e.boxEnd[c]&&(u[c]=t.dataBox[c],u[c+2]=t.dataBox[c+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var f=i._size,h=this.xaxis.domain,p=this.yaxis.domain,d=(a=t.pick(o/t.pixelRatio+f.l+h[0]*f.w,l/t.pixelRatio-(f.t+(1-p[1])*f.h)))&&a.object._trace.handlePick(a);if(d&&n&&this.emitPointAction(d,"plotly_click"),a&&"skip"!==a.object._trace.hoverinfo&&i.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var v=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),v.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,"plotly_hover");var g=this.fullData[v.trace.index]||{},y=v.pointIndex,m=s.castHoverinfo(g,i,y);if(m&&"all"!==m){var x=m.split("+");-1===x.indexOf("x")&&(v.traceCoord[0]=void 0),-1===x.indexOf("y")&&(v.traceCoord[1]=void 0),-1===x.indexOf("z")&&(v.traceCoord[2]=void 0),-1===x.indexOf("text")&&(v.textLabel=void 0),-1===x.indexOf("name")&&(v.name=void 0)}s.loneHover({x:v.screenCoord[0],y:v.screenCoord[1],xLabel:this.hoverFormatter("xaxis",v.traceCoord[0]),yLabel:this.hoverFormatter("yaxis",v.traceCoord[1]),zLabel:v.traceCoord[2],text:v.textLabel,name:v.name,color:s.castHoverOption(g,y,"bgcolor")||v.color,borderColor:s.castHoverOption(g,y,"bordercolor"),fontFamily:s.castHoverOption(g,y,"font.family"),fontSize:s.castHoverOption(g,y,"font.size"),fontColor:s.castHoverOption(g,y,"font.color"),nameLength:s.castHoverOption(g,y,"namelength"),textAlign:s.castHoverOption(g,y,"align")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},k.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit("plotly_unhover"),s.loneUnhover(this.svgContainer))},k.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),"hover").text}}},39442:function(t,e,r){"use strict";var n=r(619);function i(t,e,r,n){var i=r.radialAxis,a=r.angularAxis;i._hovertitle="real",a._hovertitle="imag";var o={};o[e.subplot]={_subplot:r};var s=e._module.formatLabels(t,e,o);n.realLabel=s.realLabel,n.imagLabel=s.imagLabel;var l=t.hi||e.hoverinfo,u=[];function c(t,e){u.push(t._hovertitle+": "+e)}if(!e.hovertemplate){var f=l.split("+");-1!==f.indexOf("all")&&(f=["real","imag","text"]),-1!==f.indexOf("real")&&c(i,n.realLabel),-1!==f.indexOf("imag")&&c(a,n.imagLabel),-1!==f.indexOf("text")&&n.text&&(u.push(n.text),delete n.text),n.extraText=u.join("<br>")}}t.exports={hoverPoints:function(t,e,r,a){var o=n(t,e,r,a);if(o&&!1!==o[0].index){var s=o[0];if(void 0===s.index)return o;var l=t.subplot,u=s.cd[s.index],c=s.trace;if(l.isPtInside(u))return s.xLabelVal=void 0,s.yLabelVal=void 0,i(u,c,l,s),s.hovertemplate=c.hovertemplate,o}},makeHoverPointText:i}},39452:function(t,e,r){var n=r(9915),i=r(18610);function a(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}a.prototype=new n.baseCalendar;var o=n.instance("gregorian");i(a.prototype,{name:"Nanakshahi",jdEpoch:2257673.5,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{"":{name:"Nanakshahi",epochs:["BN","AN"],monthNames:["Chet","Vaisakh","Jeth","Harh","Sawan","Bhadon","Assu","Katak","Maghar","Poh","Magh","Phagun"],monthNamesShort:["Che","Vai","Jet","Har","Saw","Bha","Ass","Kat","Mgr","Poh","Mgh","Pha"],dayNames:["Somvaar","Mangalvar","Budhvaar","Veervaar","Shukarvaar","Sanicharvaar","Etvaar"],dayNamesShort:["Som","Mangal","Budh","Veer","Shukar","Sanichar","Et"],dayNamesMin:["So","Ma","Bu","Ve","Sh","Sa","Et"],digits:null,dateFormat:"dd-mm-yyyy",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[""].invalidYear);return o.leapYear(e.year()+(e.year()<1?1:0)+1469)},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(1-(n.dayOfWeek()||7),"d"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidMonth);(t=i.year())<0&&t++;for(var a=i.day(),s=1;s<i.month();s++)a+=this.daysPerMonth[s-1];return a+o.toJD(t+1468,3,13)},fromJD:function(t){t=Math.floor(t+.5);for(var e=Math.floor((t-(this.jdEpoch-1))/366);t>=this.toJD(e+1,1,1);)e++;for(var r=t-Math.floor(this.toJD(e,1,1)+.5)+1,n=1;r>this.daysInMonth(e,n);)r-=this.daysInMonth(e,n),n++;return this.newDate(e,n,r)}}),n.calendars.nanakshahi=a},39555:function(t,e,r){var n=r(49149);t.exports=function(t,e,r){if(!t)throw new TypeError("must specify data as first parameter");if(r=0|+(r||0),Array.isArray(t)&&t[0]&&"number"==typeof t[0][0]){var i,a,o,s,l=t[0].length,u=t.length*l;e&&"string"!=typeof e||(e=new(n(e||"float32"))(u+r));var c=e.length-r;if(u!==c)throw new Error("source length "+u+" ("+l+"x"+t.length+") does not match destination length "+c);for(i=0,o=r;i<t.length;i++)for(a=0;a<l;a++)e[o++]=null===t[i][a]?NaN:t[i][a]}else if(e&&"string"!=typeof e)e.set(t,r);else{var f=n(e||"float32");if(Array.isArray(t)||"array"===e)for(i=0,o=r,s=(e=new f(t.length+r)).length;o<s;o++,i++)e[o]=null===t[i]?NaN:t[i];else 0===r?e=new f(t):(e=new f(t.length+r)).set(t,r)}return e}},39591:function(t,e,r){"use strict";var n,i,a=r(93950).gl_plot3d,o=a.createCamera,s=a.createScene,l=r(8034),u=r(21757),c=r(46982),f=r(15181),h=f.preserveDrawingBuffer(),p=r(26446),d=r(93441),v=r(98054),g=r(25420),y=r(77494),m=r(31489),x=r(36875),b=r(39616),_=!1;function w(t,e){var r=document.createElement("div"),n=t.container;this.graphDiv=t.graphDiv;var i=document.createElementNS("http://www.w3.org/2000/svg","svg");i.style.position="absolute",i.style.top=i.style.left="0px",i.style.width=i.style.height="100%",i.style["z-index"]=20,i.style["pointer-events"]="none",r.appendChild(i),this.svgContainer=i,r.id=t.id,r.style.position="absolute",r.style.top=r.style.left="0px",r.style.width=r.style.height="100%",n.appendChild(r),this.fullLayout=e,this.id=t.id||"scene",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=m(e,e[this.id]),this.spikeOptions=x(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=c.getComponentMethod("annotations3d","convert"),this.drawAnnotations=c.getComponentMethod("annotations3d","draw"),this.initializeGLPlot()}var T=w.prototype;T.prepareOptions=function(){var t=this,e={canvas:t.canvas,gl:t.gl,glOptions:{preserveDrawingBuffer:h,premultipliedAlpha:!0,antialias:!0},container:t.container,axes:t.axesOptions,spikes:t.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:t.camera,pixelRatio:t.pixelRatio};if(t.staticMode){if(!(i||(n=document.createElement("canvas"),i=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error("error creating static canvas/context for image server");e.gl=i,e.canvas=n}return e};var A=!0;T.tryCreatePlot=function(){var t=this,e=t.prepareOptions(),r=!0;try{t.glplot=s(e)}catch(n){if(t.staticMode||!A||h)r=!1;else{f.warn(["webgl setup failed possibly due to","false preserveDrawingBuffer config.","The mobile/tablet device may not be detected by is-mobile module.","Enabling preserveDrawingBuffer in second attempt to create webgl scene..."].join(" "));try{h=e.glOptions.preserveDrawingBuffer=!0,t.glplot=s(e)}catch(t){h=e.glOptions.preserveDrawingBuffer=!1,r=!1}}}return A=!1,r},T.initializeGLCamera=function(){var t=this,e=t.fullSceneLayout.camera,r="orthographic"===e.projection.type;t.camera=o(t.container,{center:[e.center.x,e.center.y,e.center.z],eye:[e.eye.x,e.eye.y,e.eye.z],up:[e.up.x,e.up.y,e.up.z],_ortho:r,zoomMin:.01,zoomMax:100,mode:"orbit"})},T.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return g(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+".camera"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+".aspectratio"]=t.glplot.getAspectratio(),"manual"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+".aspectmode"]="manual")),e},i=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit("plotly_relayout",e)}};return t.glplot.canvas&&(t.glplot.canvas.addEventListener("mouseup",function(){i(t)}),t.glplot.canvas.addEventListener("touchstart",function(){_=!0}),t.glplot.canvas.addEventListener("wheel",function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}},!!u&&{passive:!1}),t.glplot.canvas.addEventListener("mousemove",function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit("plotly_relayouting",e)}}),t.staticMode||t.glplot.canvas.addEventListener("webglcontextlost",function(r){e&&e.emit&&e.emit("plotly_webglcontextlost",{event:r,layer:t.id})},!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},T.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,i=e.container.getBoundingClientRect();r._fullLayout._calcInverseTransform(r);var a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,"viewBox","0 0 "+s+" "+l),n.setAttributeNS(null,"width",s),n.setAttributeNS(null,"height",l),b(e),e.glplot.axes.update(e.axesOptions);for(var u=Object.keys(e.traces),c=null,h=e.glplot.selection,v=0;v<u.length;++v)"skip"!==(t=e.traces[u[v]]).data.hoverinfo&&t.handlePick(h)&&(c=t),t.setContourLevels&&t.setContourLevels();function g(t,r,n){var i=e.fullSceneLayout[t+"axis"];return"log"!==i.type&&(r=i.d2l(r)),p.hoverLabelText(i,r,n)}if(null!==c){var m=y(e.glplot.cameraParams,h.dataCoordinate);t=c.data;var x,w=r._fullData[t.index],T=h.index,A={xLabel:g("x",h.traceCoordinate[0],t.xhoverformat),yLabel:g("y",h.traceCoordinate[1],t.yhoverformat),zLabel:g("z",h.traceCoordinate[2],t.zhoverformat)},k=d.castHoverinfo(w,e.fullLayout,T),M=(k||"").split("+"),S=k&&"all"===k;w.hovertemplate||S||(-1===M.indexOf("x")&&(A.xLabel=void 0),-1===M.indexOf("y")&&(A.yLabel=void 0),-1===M.indexOf("z")&&(A.zLabel=void 0),-1===M.indexOf("text")&&(h.textLabel=void 0),-1===M.indexOf("name")&&(c.name=void 0));var E=[];"cone"===t.type||"streamtube"===t.type?(A.uLabel=g("x",h.traceCoordinate[3],t.uhoverformat),(S||-1!==M.indexOf("u"))&&E.push("u: "+A.uLabel),A.vLabel=g("y",h.traceCoordinate[4],t.vhoverformat),(S||-1!==M.indexOf("v"))&&E.push("v: "+A.vLabel),A.wLabel=g("z",h.traceCoordinate[5],t.whoverformat),(S||-1!==M.indexOf("w"))&&E.push("w: "+A.wLabel),A.normLabel=h.traceCoordinate[6].toPrecision(3),(S||-1!==M.indexOf("norm"))&&E.push("norm: "+A.normLabel),"streamtube"===t.type&&(A.divergenceLabel=h.traceCoordinate[7].toPrecision(3),(S||-1!==M.indexOf("divergence"))&&E.push("divergence: "+A.divergenceLabel)),h.textLabel&&E.push(h.textLabel),x=E.join("<br>")):"isosurface"===t.type||"volume"===t.type?(A.valueLabel=p.hoverLabelText(e._mockAxis,e._mockAxis.d2l(h.traceCoordinate[3]),t.valuehoverformat),E.push("value: "+A.valueLabel),h.textLabel&&E.push(h.textLabel),x=E.join("<br>")):x=h.textLabel;var L={x:h.traceCoordinate[0],y:h.traceCoordinate[1],z:h.traceCoordinate[2],data:w._input,fullData:w,curveNumber:w.index,pointNumber:T};d.appendArrayPointValue(L,w,T),t._module.eventData&&(L=w._module.eventData(L,h,w,{},T));var C={points:[L]};if(e.fullSceneLayout.hovermode){var P=[];d.loneHover({trace:w,x:(.5+.5*m[0]/m[3])*s,y:(.5-.5*m[1]/m[3])*l,xLabel:A.xLabel,yLabel:A.yLabel,zLabel:A.zLabel,text:x,name:c.name,color:d.castHoverOption(w,T,"bgcolor")||c.color,borderColor:d.castHoverOption(w,T,"bordercolor"),fontFamily:d.castHoverOption(w,T,"font.family"),fontSize:d.castHoverOption(w,T,"font.size"),fontColor:d.castHoverOption(w,T,"font.color"),nameLength:d.castHoverOption(w,T,"namelength"),textAlign:d.castHoverOption(w,T,"align"),hovertemplate:f.castOption(w,T,"hovertemplate"),hovertemplateLabels:f.extendFlat({},L,A),eventData:[L]},{container:n,gd:r,inOut_bbox:P}),L.bbox=P[0]}h.distance<5&&(h.buttons||_)?r.emit("plotly_click",C):r.emit("plotly_hover",C),this.oldEventData=C}else d.loneUnhover(n),this.oldEventData&&r.emit("plotly_unhover",this.oldEventData),this.oldEventData=void 0;e.drawAnnotations(e)},T.recoverContext=function(){var t=this;t.glplot.dispose();var e=function(){t.glplot.gl.isContextLost()?requestAnimationFrame(e):t.initializeGLPlot()?t.plot.apply(t,t.plotArgs):f.error("Catastrophic and unrecoverable WebGL error. Context lost.")};requestAnimationFrame(e)};var k=["xaxis","yaxis","zaxis"];function M(t,e,r){for(var n=t.fullSceneLayout,i=0;i<3;i++){var a=k[i],o=a.charAt(0),s=n[a],l=e[o],u=e[o+"calendar"],c=e["_"+o+"length"];if(f.isArrayOrTypedArray(l))for(var h,p=0;p<(c||l.length);p++)if(f.isArrayOrTypedArray(l[p]))for(var d=0;d<l[p].length;++d)h=s.d2l(l[p][d],0,u),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else h=s.d2l(l[p],0,u),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else r[0][i]=Math.min(r[0][i],0),r[1][i]=Math.max(r[1][i],c-1)}}T.plot=function(t,e,r){var n=this;if(n.plotArgs=[t,e,r],!n.glplot.contextLost){var i,a,o,s,l,u,c=e[n.id],f=r[n.id];n.fullLayout=e,n.fullSceneLayout=c,n.axesOptions.merge(e,c),n.spikeOptions.merge(c),n.setViewport(c),n.updateFx(c.dragmode,c.hovermode),n.camera.enableWheel=n.graphDiv._context._scrollZoom.gl3d,n.glplot.setClearColor(v(c.bgcolor)),n.setConvert(l),t?Array.isArray(t)||(t=[t]):t=[];var h=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(o=0;o<t.length;++o)!0===(i=t[o]).visible&&0!==i._length&&M(this,i,h);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],i=0;i<3;i++)for(var a=k[i],o=a.charAt(0),s=r[a],l=0;l<n.length;l++){var u=n[l];if(u.visible){var c=s.r2l(u[o]);!isNaN(c)&&isFinite(c)&&(e[0][i]=Math.min(e[0][i],c),e[1][i]=Math.max(e[1][i],c))}}}(this,h);var p=[1,1,1];for(s=0;s<3;++s)h[1][s]===h[0][s]?p[s]=1:p[s]=1/(h[1][s]-h[0][s]);for(n.dataScale=p,n.convertAnnotations(this),o=0;o<t.length;++o)!0===(i=t[o]).visible&&0!==i._length&&((a=n.traces[i.uid])?a.data.type===i.type?a.update(i):(a.dispose(),a=i._module.plot(this,i),n.traces[i.uid]=a):(a=i._module.plot(this,i),n.traces[i.uid]=a),a.name=i.name);var d=Object.keys(n.traces);t:for(o=0;o<d.length;++o){for(s=0;s<t.length;++s)if(t[s].uid===d[o]&&!0===t[s].visible&&0!==t[s]._length)continue t;(a=n.traces[d[o]]).dispose(),delete n.traces[d[o]]}n.glplot.objects.sort(function(t,e){return t._trace.data.index-e._trace.data.index});var g,y=[[0,0,0],[0,0,0]],m=[],x={};for(o=0;o<3;++o){if((u=(l=c[k[o]]).type)in x?(x[u].acc*=p[o],x[u].count+=1):x[u]={acc:p[o],count:1},l.autorange){y[0][o]=1/0,y[1][o]=-1/0;var b=n.glplot.objects,_=n.fullSceneLayout.annotations||[],w=l._name.charAt(0);for(s=0;s<b.length;s++){var T=b[s],A=T.bounds,S=T._trace.data._pad||0;"ErrorBars"===T.constructor.name&&l._lowerLogErrorBound?y[0][o]=Math.min(y[0][o],l._lowerLogErrorBound):y[0][o]=Math.min(y[0][o],A[0][o]/p[o]-S),y[1][o]=Math.max(y[1][o],A[1][o]/p[o]+S)}for(s=0;s<_.length;s++){var E=_[s];if(E.visible){var L=l.r2l(E[w]);y[0][o]=Math.min(y[0][o],L),y[1][o]=Math.max(y[1][o],L)}}if("rangemode"in l&&"tozero"===l.rangemode&&(y[0][o]=Math.min(y[0][o],0),y[1][o]=Math.max(y[1][o],0)),y[0][o]>y[1][o])y[0][o]=-1,y[1][o]=1;else{var C=y[1][o]-y[0][o];y[0][o]-=C/32,y[1][o]+=C/32}if("reversed"===l.autorange){var P=y[0][o];y[0][o]=y[1][o],y[1][o]=P}}else{var O=l.range;y[0][o]=l.r2l(O[0]),y[1][o]=l.r2l(O[1])}y[0][o]===y[1][o]&&(y[0][o]-=1,y[1][o]+=1),m[o]=y[1][o]-y[0][o],n.glplot.setBounds(o,{min:y[0][o]*p[o],max:y[1][o]*p[o]})}var I=c.aspectmode;if("cube"===I)g=[1,1,1];else if("manual"===I){var D=c.aspectratio;g=[D.x,D.y,D.z]}else{if("auto"!==I&&"data"!==I)throw new Error("scene.js aspectRatio was not one of the enumerated 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e=!!t.hbar,r=!!t.vbar;e&&t.hbar.transition().attr("opacity","0").each("end",function(){e=!1,r||t.disable()}),r&&t.vbar.transition().attr("opacity","0").each("end",function(){r=!1,e||t.disable()})}(a))}function m(t,e,r,n){t.call(x,e).call(b,e,r,n)}function x(t,e){s.ensureSingle(t,"rect",f.itemRectClassName,function(t){t.attr({rx:f.rx,ry:f.ry,"shape-rendering":"crispEdges"})}).call(a.stroke,e.bordercolor).call(a.fill,e.bgcolor).style("stroke-width",e.borderwidth+"px")}function b(t,e,r,n){var i=s.ensureSingle(t,"text",f.itemTextClassName,function(t){t.attr({"text-anchor":"start","data-notex":1})}),a=r.label,u=n._fullLayout._meta;u&&(a=s.templateString(a,u)),i.call(o.font,e.font).text(a).call(l.convertToTspans,n)}function _(t,e){var r=e.active;t.each(function(t,i){var o=n.select(this);i===r&&e.showactive&&o.select("rect."+f.itemRectClassName).call(a.fill,f.activeColor)})}function w(t){t.select("rect."+f.itemRectClassName).call(a.fill,f.hoverColor)}function 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h=s.select("."+f.itemTextClassName),p=h.node()&&o.bBox(h.node()).width,d=Math.max(p+f.textPadX,f.minWidth),v=e.font.size*c,g=l.lineCount(h),y=Math.max(v*g,f.minHeight)+f.textOffsetY;y=Math.ceil(y),d=Math.ceil(d),r.widths[a]=d,r.heights[a]=y,r.height1=Math.max(r.height1,y),r.width1=Math.max(r.width1,d),u?(r.totalWidth=Math.max(r.totalWidth,d),r.openWidth=r.totalWidth,r.totalHeight+=y+f.gapButton,r.openHeight+=y+f.gapButton):(r.totalWidth+=d+f.gapButton,r.openWidth+=d+f.gapButton,r.totalHeight=Math.max(r.totalHeight,y),r.openHeight=r.totalHeight)}),u?r.totalHeight-=f.gapButton:r.totalWidth-=f.gapButton,r.headerWidth=r.width1+f.arrowPadX,r.headerHeight=r.height1,"dropdown"===e.type&&(u?(r.width1+=f.arrowPadX,r.totalHeight=r.height1):r.totalWidth=r.width1,r.totalWidth+=f.arrowPadX),a.remove();var h=r.totalWidth+e.pad.l+e.pad.r,p=r.totalHeight+e.pad.t+e.pad.b,d=t._fullLayout._size;r.lx=d.l+d.w*e.x,r.ly=d.t+d.h*(1-e.y);var 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v=e.font.size*c,g=(l.lineCount(a)-1)*v/2;l.positionText(a,f.textOffsetX,d/2-g+f.textOffsetY),p?r.y+=h.heights[u]+r.yPad:r.x+=h.widths[u]+r.xPad,r.index++}function S(t,e){t.attr(f.menuIndexAttrName,e||"-1").selectAll("g."+f.dropdownButtonClassName).remove()}t.exports=function(t){var e=t._fullLayout,r=s.filterVisible(e[f.name]);function a(e){i.autoMargin(t,k(e))}var o=e._menulayer.selectAll("g."+f.containerClassName).data(r.length>0?[0]:[]);if(o.enter().append("g").classed(f.containerClassName,!0).style("cursor","pointer"),o.exit().each(function(){n.select(this).selectAll("g."+f.headerGroupClassName).each(a)}).remove(),0!==r.length){var l=o.selectAll("g."+f.headerGroupClassName).data(r,p);l.enter().append("g").classed(f.headerGroupClassName,!0);for(var u=s.ensureSingle(o,"g",f.dropdownButtonGroupClassName,function(t){t.style("pointer-events","all")}),c=0;c<r.length;c++){var m=r[c];A(t,m)}var x="updatemenus"+e._uid,b=new 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n=r(16534),i=r(15181),a=i.numberFormat,o=r(25623),s=r(21757),l=r(46982),u=i.strTranslate,c=r(3071),f=r(69562),h=r(88191),p=r(93441),d=r(26446),v=r(71467),g=r(95243),y=r(7514),m=y.selectingOrDrawing,x=y.freeMode,b=r(5126).FROM_TL,_=r(91371),w=r(357).redrawReglTraces,T=r(37070),A=r(93003).getFromId,k=r(35640).prepSelect,M=r(35640).clearOutline,S=r(35640).selectOnClick,E=r(44559),L=r(29278),C=L.MINDRAG,P=L.MINZOOM,O=!0;function I(t,e,r,n){var a=i.ensureSingle(t.draglayer,e,r,function(e){e.classed("drag",!0).style({fill:"transparent","stroke-width":0}).attr("data-subplot",t.id)});return a.call(v,n),a.node()}function D(t,e,r,i,a,o,s){var l=I(t,"rect",e,r);return n.select(l).call(h.setRect,i,a,o,s),l}function z(t,e){for(var r=0;r<t.length;r++)if(!t[r].fixedrange)return e;return""}function R(t,e,r,n,i){for(var a=0;a<t.length;a++){var o=t[a];if(!o.fixedrange)if(o.rangebreaks){var 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o,s,l,u,c=!1,f={},h={},p=(a||{}).xaHash,d=(a||{}).yaHash,v=0;v<e.length;v++){var g=e[v];for(o in r)if(g[o]){for(l in g)a&&(p[l]||d[l])||("x"===l.charAt(0)?r:n)[l]||(f[l]=o);for(s in n)a&&(p[s]||d[s])||!g[s]||(c=!0)}for(s in n)if(g[s])for(u in g)a&&(p[u]||d[u])||("x"===u.charAt(0)?r:n)[u]||(h[u]=s)}c&&(i.extendFlat(f,h),h={});var y={},m=[];for(l in f){var x=A(t,l);m.push(x),y[x._id]=x}var b={},_=[];for(u in h){var w=A(t,u);_.push(w),b[w._id]=w}return{xaHash:y,yaHash:b,xaxes:m,yaxes:_,xLinks:f,yLinks:h,isSubplotConstrained:c}}function W(t,e){if(s){var r=void 0!==t.onwheel?"wheel":"mousewheel";t._onwheel&&t.removeEventListener(r,t._onwheel),t._onwheel=e,t.addEventListener(r,e,{passive:!1})}else void 0!==t.onwheel?t.onwheel=e:void 0!==t.onmousewheel?t.onmousewheel=e:t.isAddedWheelEvent||(t.isAddedWheelEvent=!0,t.addEventListener("wheel",e,{passive:!1}))}function Z(t){var e=[];for(var r in t)e.push(t[r]);return e}t.exports={makeDragBox:function(t,e,r,s,u,f,v,y){var O,I,V,X,J,K,$,Q,tt,et,rt,nt,it,at,ot,st,lt,ut,ct,ft,ht,pt,dt,vt=t._fullLayout._zoomlayer,gt=v+y==="nsew",yt=1===(v+y).length;function mt(){if(O=e.xaxis,I=e.yaxis,tt=O._length,et=I._length,$=O._offset,Q=I._offset,(V={})[O._id]=O,(X={})[I._id]=I,v&&y)for(var r=e.overlays,n=0;n<r.length;n++){var i=r[n].xaxis;V[i._id]=i;var a=r[n].yaxis;X[a._id]=a}J=Z(V),K=Z(X),it=z(J,y),at=z(K,v),ot=!at&&!it,nt=Y(t,t._fullLayout._axisMatchGroups,V,X);var o=(rt=Y(t,t._fullLayout._axisConstraintGroups,V,X,nt)).isSubplotConstrained||nt.isSubplotConstrained;st=y||o,lt=v||o;var s=t._fullLayout;ut=s._has("scattergl"),ct=s._has("splom"),ft=s._has("svg")}r+=e.yaxis._shift,mt();var xt=function(t,e,r){return t?"nsew"===t?r?"":"pan"===e?"move":"crosshair":t.toLowerCase()+"-resize":"pointer"}(at+it,t._fullLayout.dragmode,gt),bt=D(e,v+y+"drag",xt,r,s,u,f);if(ot&&!gt)return bt.onmousedown=null,bt.style.pointerEvents="none",bt;var _t,wt,Tt,At,kt,Mt,St,Et,Lt,Ct,Pt={element:bt,gd:t,plotinfo:e};function Ot(){Pt.plotinfo.selection=!1,M(t)}function It(t,r){var i=Pt.gd;if(i._fullLayout._activeShapeIndex>=0)i._fullLayout._deactivateShape(i);else{var o=i._fullLayout.clickmode;if(H(i),2!==t||yt||qt(),gt)o.indexOf("select")>-1&&S(r,i,J,K,e.id,Pt),o.indexOf("event")>-1&&p.click(i,r,e.id);else if(1===t&&yt){var s=v?I:O,u="s"===v||"w"===y?0:1,f=s._name+".range["+u+"]",h=function(t,e){var r,n=t.range[e],i=Math.abs(n-t.range[1-e]);return"date"===t.type?n:"log"===t.type?(r=Math.ceil(Math.max(0,-Math.log(i)/Math.LN10))+3,a("."+r+"g")(Math.pow(10,n))):(r=Math.floor(Math.log(Math.abs(n))/Math.LN10)-Math.floor(Math.log(i)/Math.LN10)+4,a("."+String(r)+"g")(n))}(s,u),d="left",g="middle";if(s.fixedrange)return;v?(g="n"===v?"top":"bottom","right"===s.side&&(d="right")):"e"===y&&(d="right"),i._context.showAxisRangeEntryBoxes&&n.select(bt).call(c.makeEditable,{gd:i,immediate:!0,background:i._fullLayout.paper_bgcolor,text:String(h),fill:s.tickfont?s.tickfont.color:"#444",horizontalAlign:d,verticalAlign:g}).on("edit",function(t){var e=s.d2r(t);void 0!==e&&l.call("_guiRelayout",i,f,e)})}}}function Dt(e,r){if(t._transitioningWithDuration)return!1;var n=Math.max(0,Math.min(tt,pt*e+_t)),i=Math.max(0,Math.min(et,dt*r+wt)),a=Math.abs(n-_t),o=Math.abs(i-wt);function s(){St="",Tt.r=Tt.l,Tt.t=Tt.b,Lt.attr("d","M0,0Z")}if(Tt.l=Math.min(_t,n),Tt.r=Math.max(_t,n),Tt.t=Math.min(wt,i),Tt.b=Math.max(wt,i),rt.isSubplotConstrained)a>P||o>P?(St="xy",a/tt>o/et?(o=a*et/tt,wt>i?Tt.t=wt-o:Tt.b=wt+o):(a=o*tt/et,_t>n?Tt.l=_t-a:Tt.r=_t+a),Lt.attr("d",G(Tt))):s();else if(nt.isSubplotConstrained)if(a>P||o>P){St="xy";var l=Math.min(Tt.l/tt,(et-Tt.b)/et),u=Math.max(Tt.r/tt,(et-Tt.t)/et);Tt.l=l*tt,Tt.r=u*tt,Tt.b=(1-l)*et,Tt.t=(1-u)*et,Lt.attr("d",G(Tt))}else 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a=Pt.dragmode,s=t._fullLayout.dragmode;s!==a&&(Pt.dragmode=s),mt(),pt=t._fullLayout._invScaleX,dt=t._fullLayout._invScaleY,ot||(gt?e.shiftKey?"pan"===s?s="zoom":m(s)||(s="pan"):e.ctrlKey&&(s="pan"):s="pan"),x(s)?Pt.minDrag=1:Pt.minDrag=void 0,m(s)?(Pt.xaxes=J,Pt.yaxes=K,k(e,r,n,Pt,s)):(Pt.clickFn=It,m(a)&&Ot(),ot||("zoom"===s?(Pt.moveFn=Dt,Pt.doneFn=Rt,Pt.minDrag=1,function(e,r,n){var a=bt.getBoundingClientRect();_t=r-a.left,wt=n-a.top,t._fullLayout._calcInverseTransform(t);var s=i.apply3DTransform(t._fullLayout._invTransform)(_t,wt);_t=s[0],wt=s[1],Tt={l:_t,r:_t,w:0,t:wt,b:wt,h:0},At=t._hmpixcount?t._hmlumcount/t._hmpixcount:o(t._fullLayout.plot_bgcolor).getLuminance(),Mt=!1,St="xy",Ct=!1,Et=N(vt,At,$,Q,kt="M0,0H"+tt+"V"+et+"H0V0"),Lt=j(vt,$,Q)}(0,r,n)):"pan"===s&&(Pt.moveFn=Ut,Pt.doneFn=Gt))),t._fullLayout._redrag=function(){var e=t._dragdata;if(e&&e.element===bt){var r=t._fullLayout.dragmode;m(r)||(mt(),Yt([0,0,tt,et]),Pt.moveFn(e.dx,e.dy))}}},g.init(Pt);var Ft=[0,0,tt,et],Bt=null,Nt=L.REDRAWDELAY,jt=e.mainplot?t._fullLayout._plots[e.mainplot]:e;function Ut(e,r){if(e*=pt,r*=dt,!t._transitioningWithDuration){if(t._fullLayout._replotting=!0,"ew"===it||"ns"===at){var n=it?-e:0,i=at?-r:0;if(nt.isSubplotConstrained){if(it&&at){var a=(e/tt-r/et)/2;n=-(e=a*tt),i=-(r=-a*et)}at?n=-i*tt/et:i=-n*et/tt}return it&&(F(J,e),Vt("x")),at&&(F(K,r),Vt("y")),Yt([n,i,tt,et]),Ht(),void t.emit("plotly_relayouting",ht)}var o,s,l="w"===it==("n"===at)?1:-1;if(it&&at&&(rt.isSubplotConstrained||nt.isSubplotConstrained)){var u=(e/tt+l*r/et)/2;e=u*tt,r=l*u*et}if("w"===it?e=p(J,0,e):"e"===it?e=p(J,1,-e):it||(e=0),"n"===at?r=p(K,1,r):"s"===at?r=p(K,0,-r):at||(r=0),o="w"===it?e:0,s="n"===at?r:0,rt.isSubplotConstrained&&!nt.isSubplotConstrained||nt.isSubplotConstrained&&it&&at&&l>0){var 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r=x(m,e,t.label),n=r.node()&&o.bBox(r.node())||{width:0,height:0},i=u.lineCount(r);c.currentValueMaxWidth=Math.max(c.currentValueMaxWidth,Math.ceil(n.width)),c.currentValueHeight=Math.max(c.currentValueHeight,Math.ceil(n.height)),c.currentValueMaxLines=Math.max(c.currentValueMaxLines,i)}),c.currentValueTotalHeight=c.currentValueHeight+e.currentvalue.offset,m.remove()}c.height=c.currentValueTotalHeight+f.tickOffset+e.ticklen+f.labelOffset+c.labelHeight+e.pad.t+e.pad.b;var b="left";s.isRightAnchor(e)&&(c.lx-=c.outerLength,b="right"),s.isCenterAnchor(e)&&(c.lx-=c.outerLength/2,b="center");var w="top";s.isBottomAnchor(e)&&(c.ly-=c.height,w="bottom"),s.isMiddleAnchor(e)&&(c.ly-=c.height/2,w="middle"),c.outerLength=Math.ceil(c.outerLength),c.height=Math.ceil(c.height),c.lx=Math.round(c.lx),c.ly=Math.round(c.ly);var T={y:e.y,b:c.height*v[w],t:c.height*d[w]};"fraction"===e.lenmode?(T.l=0,T.xl=e.x-e.len*d[b],T.r=0,T.xr=e.x+e.len*v[b]):(T.x=e.x,T.l=c.outerLength*d[b],T.r=c.outerLength*v[b]),i.autoMargin(t,g(e),T)}function x(t,e,r){if(e.currentvalue.visible){var n,i,a=e._dims;switch(e.currentvalue.xanchor){case"right":n=a.inputAreaLength-f.currentValueInset-a.currentValueMaxWidth,i="left";break;case"center":n=.5*a.inputAreaLength,i="middle";break;default:n=f.currentValueInset,i="left"}var l=s.ensureSingle(t,"text",f.labelClass,function(t){t.attr({"text-anchor":i,"data-notex":1})}),c=e.currentvalue.prefix?e.currentvalue.prefix:"";if("string"==typeof r)c+=r;else{var h=e.steps[e.active].label,d=e._gd._fullLayout._meta;d&&(h=s.templateString(h,d)),c+=h}e.currentvalue.suffix&&(c+=e.currentvalue.suffix),l.call(o.font,e.currentvalue.font).text(c).call(u.convertToTspans,e._gd);var v=u.lineCount(l),g=(a.currentValueMaxLines+1-v)*e.currentvalue.font.size*p;return u.positionText(l,n,g),l}}function 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l=r.select("."+f.gripRectClass);n.event.stopPropagation(),n.event.preventDefault(),l.call(a.fill,t.activebgcolor);var u=L(t,n.mouse(i)[0]);function c(){var t=s(),a=L(t,n.mouse(i)[0]);T(e,r,t,a,!1)}function h(){var t=s();t._dragging=!1,l.call(a.fill,t.bgcolor),o.on("mouseup",null),o.on("mousemove",null),o.on("touchend",null),o.on("touchmove",null),e.emit("plotly_sliderend",{slider:t,step:t.steps[t.active]})}T(e,r,t,u,!0),t._dragging=!0,o.on("mousemove",c),o.on("touchmove",c),o.on("mouseup",h),o.on("touchend",h)}}function M(t,e){var r=t.selectAll("rect."+f.tickRectClass).data(e._visibleSteps),i=e._dims;r.enter().append("rect").classed(f.tickRectClass,!0),r.exit().remove(),r.attr({width:e.tickwidth+"px","shape-rendering":"crispEdges"}),r.each(function(t,r){var s=r%i.labelStride===0,l=n.select(this);l.attr({height:s?e.ticklen:e.minorticklen}).call(a.fill,e.tickcolor),o.setTranslate(l,E(e,r/(e._stepCount-1))-.5*e.tickwidth,(s?f.tickOffset:f.minorTickOffset)+i.currentValueTotalHeight)})}function S(t,e,r){for(var n=t.select("rect."+f.gripRectClass),i=0,a=0;a<e._stepCount;a++)if(e._visibleSteps[a]._index===e.active){i=a;break}var o=E(e,i/(e._stepCount-1));if(!e._invokingCommand){var s=n;r&&e.transition.duration>0&&(s=s.transition().duration(e.transition.duration).ease(e.transition.easing)),s.attr("transform",l(o-.5*f.gripWidth,e._dims.currentValueTotalHeight))}}function E(t,e){var r=t._dims;return r.inputAreaStart+f.stepInset+(r.inputAreaLength-2*f.stepInset)*Math.min(1,Math.max(0,e))}function L(t,e){var r=t._dims;return Math.min(1,Math.max(0,(e-f.stepInset-r.inputAreaStart)/(r.inputAreaLength-2*f.stepInset-2*r.inputAreaStart)))}function C(t,e,r){var 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r=e.parse(t[1],1,Ht);if(!r)return null;var n=[],i=null;e.expectedType&&"value"!==e.expectedType.kind&&(i=e.expectedType);for(var a=1;a<t.length;a+=2){var o=1===a?-1/0:t[a],s=t[a+1],l=a,u=a+1;if("number"!=typeof o)return e.error('Input/output pairs for "step" expressions must be defined using literal numeric values (not computed expressions) for the input values.',l);if(n.length&&n[n.length-1][0]>=o)return e.error('Input/output pairs for "step" expressions must be arranged with input values in strictly ascending order.',l);var c=e.parse(s,u,i);if(!c)return null;i=i||c.type,n.push([o,c])}return new Qe(i,r,n)},Qe.prototype.evaluate=function(t){var e=this.labels,r=this.outputs;if(1===e.length)return r[0].evaluate(t);var n=this.input.evaluate(t);if(n<=e[0])return r[0].evaluate(t);var i=e.length;return n>=e[i-1]?r[i-1].evaluate(t):r[$e(e,n)].evaluate(t)},Qe.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1)t(r[e])},Qe.prototype.outputDefined=function(){return this.outputs.every(function(t){return t.outputDefined()})},Qe.prototype.serialize=function(){for(var t=["step",this.input.serialize()],e=0;e<this.labels.length;e++)e>0&&t.push(this.labels[e]),t.push(this.outputs[e].serialize());return t};var er=Object.freeze({__proto__:null,number:tr,color:function(t,e,r){return new oe(tr(t.r,e.r,r),tr(t.g,e.g,r),tr(t.b,e.b,r),tr(t.a,e.a,r))},array:function(t,e,r){return t.map(function(t,n){return tr(t,e[n],r)})}}),rr=.95047,nr=1.08883,ir=4/29,ar=6/29,or=3*ar*ar,sr=ar*ar*ar,lr=Math.PI/180,ur=180/Math.PI;function cr(t){return t>sr?Math.pow(t,1/3):t/or+ir}function fr(t){return t>ar?t*t*t:or*(t-ir)}function hr(t){return 255*(t<=.0031308?12.92*t:1.055*Math.pow(t,1/2.4)-.055)}function pr(t){return(t/=255)<=.04045?t/12.92:Math.pow((t+.055)/1.055,2.4)}function dr(t){var e=pr(t.r),r=pr(t.g),n=pr(t.b),i=cr((.4124564*e+.3575761*r+.1804375*n)/rr),a=cr((.2126729*e+.7151522*r+.072175*n)/1);return{l:116*a-16,a:500*(i-a),b:200*(a-cr((.0193339*e+.119192*r+.9503041*n)/nr)),alpha:t.a}}function vr(t){var e=(t.l+16)/116,r=isNaN(t.a)?e:e+t.a/500,n=isNaN(t.b)?e:e-t.b/200;return e=1*fr(e),r=rr*fr(r),n=nr*fr(n),new oe(hr(3.2404542*r-1.5371385*e-.4985314*n),hr(-.969266*r+1.8760108*e+.041556*n),hr(.0556434*r-.2040259*e+1.0572252*n),t.alpha)}function gr(t,e,r){var n=e-t;return t+r*(n>180||n<-180?n-360*Math.round(n/360):n)}var yr={forward:dr,reverse:vr,interpolate:function(t,e,r){return{l:tr(t.l,e.l,r),a:tr(t.a,e.a,r),b:tr(t.b,e.b,r),alpha:tr(t.alpha,e.alpha,r)}}},mr={forward:function(t){var e=dr(t),r=e.l,n=e.a,i=e.b,a=Math.atan2(i,n)*ur;return{h:a<0?a+360:a,c:Math.sqrt(n*n+i*i),l:r,alpha:t.a}},reverse:function(t){var e=t.h*lr,r=t.c;return vr({l:t.l,a:Math.cos(e)*r,b:Math.sin(e)*r,alpha:t.alpha})},interpolate:function(t,e,r){return{h:gr(t.h,e.h,r),c:tr(t.c,e.c,r),l:tr(t.l,e.l,r),alpha:tr(t.alpha,e.alpha,r)}}},xr=Object.freeze({__proto__:null,lab:yr,hcl:mr}),br=function(t,e,r,n,i){this.type=t,this.operator=e,this.interpolation=r,this.input=n,this.labels=[],this.outputs=[];for(var a=0,o=i;a<o.length;a+=1){var s=o[a],l=s[0],u=s[1];this.labels.push(l),this.outputs.push(u)}};function _r(t,e,r,n){var i=n-r,a=t-r;return 0===i?0:1===e?a/i:(Math.pow(e,a)-1)/(Math.pow(e,i)-1)}br.interpolationFactor=function(t,e,r,i){var a=0;if("exponential"===t.name)a=_r(e,t.base,r,i);else if("linear"===t.name)a=_r(e,1,r,i);else if("cubic-bezier"===t.name){var o=t.controlPoints;a=new n(o[0],o[1],o[2],o[3]).solve(_r(e,1,r,i))}return a},br.parse=function(t,e){var r=t[0],n=t[1],i=t[2],a=t.slice(3);if(!Array.isArray(n)||0===n.length)return e.error("Expected an interpolation type expression.",1);if("linear"===n[0])n={name:"linear"};else 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a=$e(e,n),o=e[a],s=e[a+1],l=br.interpolationFactor(this.interpolation,n,o,s),u=r[a].evaluate(t),c=r[a+1].evaluate(t);return"interpolate"===this.operator?er[this.type.kind.toLowerCase()](u,c,l):"interpolate-hcl"===this.operator?mr.reverse(mr.interpolate(mr.forward(u),mr.forward(c),l)):yr.reverse(yr.interpolate(yr.forward(u),yr.forward(c),l))},br.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1)t(r[e])},br.prototype.outputDefined=function(){return this.outputs.every(function(t){return t.outputDefined()})},br.prototype.serialize=function(){var t;t="linear"===this.interpolation.name?["linear"]:"exponential"===this.interpolation.name?1===this.interpolation.base?["linear"]:["exponential",this.interpolation.base]:["cubic-bezier"].concat(this.interpolation.controlPoints);for(var e=[this.operator,t,this.input.serialize()],r=0;r<this.labels.length;r++)e.push(this.labels[r],this.outputs[r].serialize());return e};var wr=function(t,e){this.type=t,this.args=e};wr.parse=function(t,e){if(t.length<2)return e.error("Expectected at least one argument.");var r=null,n=e.expectedType;n&&"value"!==n.kind&&(r=n);for(var i=[],a=0,o=t.slice(1);a<o.length;a+=1){var s=o[a],l=e.parse(s,1+i.length,r,void 0,{typeAnnotation:"omit"});if(!l)return null;r=r||l.type,i.push(l)}var u=n&&i.some(function(t){return ee(n,t.type)});return new wr(u?Zt:r,i)},wr.prototype.evaluate=function(t){for(var e,r=null,n=0,i=0,a=this.args;i<a.length&&(n++,(r=a[i].evaluate(t))&&r instanceof ce&&!r.available&&(e||(e=r.name),r=null,n===this.args.length&&(r=e)),null===r);i+=1);return r},wr.prototype.eachChild=function(t){this.args.forEach(t)},wr.prototype.outputDefined=function(){return this.args.every(function(t){return t.outputDefined()})},wr.prototype.serialize=function(){var t=["coalesce"];return this.eachChild(function(e){t.push(e.serialize())}),t};var Tr=function(t,e){this.type=e.type,this.bindings=[].concat(t),this.result=e};Tr.prototype.evaluate=function(t){return this.result.evaluate(t)},Tr.prototype.eachChild=function(t){for(var e=0,r=this.bindings;e<r.length;e+=1)t(r[e][1]);t(this.result)},Tr.parse=function(t,e){if(t.length<4)return e.error("Expected at least 3 arguments, but found "+(t.length-1)+" instead.");for(var r=[],n=1;n<t.length-1;n+=2){var i=t[n];if("string"!=typeof i)return e.error("Expected string, but found "+typeof i+" instead.",n);if(/[^a-zA-Z0-9_]/.test(i))return e.error("Variable names must contain only alphanumeric characters or '_'.",n);var a=e.parse(t[n+1],n+1);if(!a)return null;r.push([i,a])}var o=e.parse(t[t.length-1],t.length-1,e.expectedType,r);return o?new Tr(r,o):null},Tr.prototype.outputDefined=function(){return this.result.outputDefined()},Tr.prototype.serialize=function(){for(var t=["let"],e=0,r=this.bindings;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];t.push(i,a.serialize())}return t.push(this.result.serialize()),t};var Ar=function(t,e,r){this.type=t,this.index=e,this.input=r};Ar.parse=function(t,e){if(3!==t.length)return e.error("Expected 2 arguments, but found "+(t.length-1)+" instead.");var r=e.parse(t[1],1,Ht),n=e.parse(t[2],2,$t(e.expectedType||Zt));if(!r||!n)return null;var i=n.type;return new Ar(i.itemType,r,n)},Ar.prototype.evaluate=function(t){var e=this.index.evaluate(t),r=this.input.evaluate(t);if(e<0)throw new ge("Array index out of bounds: "+e+" < 0.");if(e>=r.length)throw new ge("Array index out of bounds: "+e+" > "+(r.length-1)+".");if(e!==Math.floor(e))throw new ge("Array index must be an integer, but found "+e+" instead.");return r[e]},Ar.prototype.eachChild=function(t){t(this.index),t(this.input)},Ar.prototype.outputDefined=function(){return!1},Ar.prototype.serialize=function(){return["at",this.index.serialize(),this.input.serialize()]};var kr=function(t,e){this.type=Gt,this.needle=t,this.haystack=e};kr.parse=function(t,e){if(3!==t.length)return e.error("Expected 2 arguments, but found "+(t.length-1)+" instead.");var r=e.parse(t[1],1,Zt),n=e.parse(t[2],2,Zt);return r&&n?re(r.type,[Gt,qt,Ht,Vt,Zt])?new kr(r,n):e.error("Expected first argument to be of type boolean, string, number or null, but found "+Qt(r.type)+" instead"):null},kr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!r)return!1;if(!ne(e,["boolean","string","number","null"]))throw new ge("Expected first argument to be of type boolean, string, number or null, but found "+Qt(pe(e))+" instead.");if(!ne(r,["string","array"]))throw new ge("Expected second argument to be of type array or string, but found "+Qt(pe(r))+" instead.");return r.indexOf(e)>=0},kr.prototype.eachChild=function(t){t(this.needle),t(this.haystack)},kr.prototype.outputDefined=function(){return!0},kr.prototype.serialize=function(){return["in",this.needle.serialize(),this.haystack.serialize()]};var Mr=function(t,e,r){this.type=Ht,this.needle=t,this.haystack=e,this.fromIndex=r};Mr.parse=function(t,e){if(t.length<=2||t.length>=5)return e.error("Expected 3 or 4 arguments, but found "+(t.length-1)+" instead.");var r=e.parse(t[1],1,Zt),n=e.parse(t[2],2,Zt);if(!r||!n)return null;if(!re(r.type,[Gt,qt,Ht,Vt,Zt]))return e.error("Expected first argument to be of type boolean, string, number or null, but found "+Qt(r.type)+" instead");if(4===t.length){var i=e.parse(t[3],3,Ht);return i?new Mr(r,n,i):null}return new Mr(r,n)},Mr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!ne(e,["boolean","string","number","null"]))throw new ge("Expected first argument to be of type boolean, string, number or null, but found "+Qt(pe(e))+" instead.");if(!ne(r,["string","array"]))throw new ge("Expected second argument to be of type array or string, but found "+Qt(pe(r))+" instead.");if(this.fromIndex){var n=this.fromIndex.evaluate(t);return r.indexOf(e,n)}return r.indexOf(e)},Mr.prototype.eachChild=function(t){t(this.needle),t(this.haystack),this.fromIndex&&t(this.fromIndex)},Mr.prototype.outputDefined=function(){return!1},Mr.prototype.serialize=function(){if(null!=this.fromIndex&&void 0!==this.fromIndex){var t=this.fromIndex.serialize();return["index-of",this.needle.serialize(),this.haystack.serialize(),t]}return["index-of",this.needle.serialize(),this.haystack.serialize()]};var Sr=function(t,e,r,n,i,a){this.inputType=t,this.type=e,this.input=r,this.cases=n,this.outputs=i,this.otherwise=a};Sr.parse=function(t,e){if(t.length<5)return e.error("Expected at least 4 arguments, but found only "+(t.length-1)+".");if(t.length%2!=1)return e.error("Expected an even number of arguments.");var r,n;e.expectedType&&"value"!==e.expectedType.kind&&(n=e.expectedType);for(var i={},a=[],o=2;o<t.length-1;o+=2){var s=t[o],l=t[o+1];Array.isArray(s)||(s=[s]);var u=e.concat(o);if(0===s.length)return u.error("Expected at least one branch label.");for(var 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pn=function(t,e){this._parameters=t,this._specification=e,Ft(this,tn(this._parameters,this._specification))};function dn(t){var e=null;if(t instanceof Tr)e=dn(t.result);else if(t instanceof wr)for(var r=0,n=t.args;r<n.length;r+=1){var i=n[r];if(e=dn(i))break}else(t instanceof Qe||t instanceof br)&&t.input instanceof ke&&"zoom"===t.input.name&&(e=t);return e instanceof jt||t.eachChild(function(t){var r=dn(t);r instanceof jt?e=r:!e&&r?e=new jt("",'"zoom" expression may only be used as input to a top-level "step" or "interpolate" expression.'):e&&r&&e!==r&&(e=new jt("",'Only one zoom-based "step" or "interpolate" subexpression may be used in an expression.'))}),e}function vn(t){var e=t.key,r=t.value,n=t.valueSpec||{},i=t.objectElementValidators||{},a=t.style,o=t.styleSpec,s=[],l=Kr(r);if("object"!==l)return[new zt(e,r,"object expected, "+l+" found")];for(var u in r){var c=u.split(".")[0],f=n[c]||n["*"],h=void 0;if(i[c])h=i[c];else if(n[c])h=Vn;else 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e=[],a=t.value,s=t.key;if("array"!==Kr(a))return[new zt(s,a,"array expected, "+Kr(a)+" found")];if(2!==a.length)return[new zt(s,a,"array length 2 expected, length "+a.length+" found")];if(u){if("object"!==Kr(a[0]))return[new zt(s,a,"object expected, "+Kr(a[0])+" found")];if(void 0===a[0].zoom)return[new zt(s,a,"object stop key must have zoom")];if(void 0===a[0].value)return[new zt(s,a,"object stop key must have value")];if(n&&n>Bt(a[0].zoom))return[new zt(s,a[0].zoom,"stop zoom values must appear in ascending order")];Bt(a[0].zoom)!==n&&(n=Bt(a[0].zoom),r=void 0,o={}),e=e.concat(vn({key:s+"[0]",value:a[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:yn,value:h}}))}else e=e.concat(h({key:s+"[0]",value:a[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},a));return ln(Nt(a[1]))?e.concat([new zt(s+"[1]",a[1],"expressions are not allowed in function 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e=("property"===t.expressionContext?hn:un)(Nt(t.value),t.valueSpec);if("error"===e.result)return e.value.map(function(e){return new zt(""+t.key+e.key,t.value,e.message)});var r=e.value.expression||e.value._styleExpression.expression;if("property"===t.expressionContext&&"text-font"===t.propertyKey&&!r.outputDefined())return[new zt(t.key,t.value,'Invalid data expression for "'+t.propertyKey+'". 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0===this.fadeDuration?1:Math.min((this.now-this.zoomHistory.lastIntegerZoomTime)/this.fadeDuration,1)},zi.prototype.getCrossfadeParameters=function(){var t=this.zoom,e=t-Math.floor(t),r=this.crossFadingFactor();return t>this.zoomHistory.lastIntegerZoom?{fromScale:2,toScale:1,t:e+(1-e)*r}:{fromScale:.5,toScale:1,t:1-(1-r)*e}};var Ri=function(t,e){this.property=t,this.value=e,this.expression=function(t,e){if($r(t))return new pn(t,e);if(ln(t)){var r=hn(t,e);if("error"===r.result)throw new Error(r.value.map(function(t){return t.key+": "+t.message}).join(", "));return r.value}var n=t;return"string"==typeof t&&"color"===e.type&&(n=oe.parse(t)),{kind:"constant",evaluate:function(){return n}}}(void 0===e?t.specification.default:e,t.specification)};Ri.prototype.isDataDriven=function(){return"source"===this.expression.kind||"composite"===this.expression.kind},Ri.prototype.possiblyEvaluate=function(t,e,r){return this.property.possiblyEvaluate(this,t,e,r)};var Fi=function(t){this.property=t,this.value=new Ri(t,void 0)};Fi.prototype.transitioned=function(t,e){return new Ni(this.property,this.value,e,f({},t.transition,this.transition),t.now)},Fi.prototype.untransitioned=function(){return new Ni(this.property,this.value,null,{},0)};var Bi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitionablePropertyValues)};Bi.prototype.getValue=function(t){return b(this._values[t].value.value)},Bi.prototype.setValue=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new Fi(this._values[t].property)),this._values[t].value=new Ri(this._values[t].property,null===e?void 0:b(e))},Bi.prototype.getTransition=function(t){return b(this._values[t].transition)},Bi.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new Fi(this._values[t].property)),this._values[t].transition=b(e)||void 0},Bi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var 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this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u){var c=10*t,f=5*t;return this.int16[c+0]=e,this.int16[c+1]=r,this.int16[c+2]=n,this.int16[c+3]=i,this.int16[c+4]=a,this.int16[c+5]=o,this.uint32[f+3]=s,this.uint16[c+8]=l,this.uint16[c+9]=u,t},e}(ta);fa.prototype.bytesPerElement=20,ii("StructArrayLayout6i1ul2ui20",fa);var ha=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return 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this.uint16[i+0]=e,this.uint16[i+1]=r,this.uint16[i+2]=n,t},e}(ta);va.prototype.bytesPerElement=6,ii("StructArrayLayout3ui6",va);var ga=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g){var y=this.length;return this.resize(y+1),this.emplace(y,t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y){var m=24*t,x=12*t,b=48*t;return this.int16[m+0]=e,this.int16[m+1]=r,this.uint16[m+2]=n,this.uint16[m+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[m+10]=l,this.uint16[m+11]=u,this.uint16[m+12]=c,this.float32[x+7]=f,this.float32[x+8]=h,this.uint8[b+36]=p,this.uint8[b+37]=d,this.uint8[b+38]=v,this.uint32[x+10]=g,this.int16[m+22]=y,t},e}(ta);ga.prototype.bytesPerElement=48,ii("StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48",ga);var ya=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,A,k,M,S){var E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,A,k,M,S)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,A,k,M,S,E){var L=34*t,C=17*t;return this.int16[L+0]=e,this.int16[L+1]=r,this.int16[L+2]=n,this.int16[L+3]=i,this.int16[L+4]=a,this.int16[L+5]=o,this.int16[L+6]=s,this.int16[L+7]=l,this.uint16[L+8]=u,this.uint16[L+9]=c,this.uint16[L+10]=f,this.uint16[L+11]=h,this.uint16[L+12]=p,this.uint16[L+13]=d,this.uint16[L+14]=v,this.uint16[L+15]=g,this.uint16[L+16]=y,this.uint16[L+17]=m,this.uint16[L+18]=x,this.uint16[L+19]=b,this.uint16[L+20]=_,this.uint16[L+21]=w,this.uint16[L+22]=T,this.uint32[C+12]=A,this.float32[C+13]=k,this.float32[C+14]=M,this.float32[C+15]=S,this.float32[C+16]=E,t},e}(ta);ya.prototype.bytesPerElement=68,ii("StructArrayLayout8i15ui1ul4f68",ya);var ma=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.float32[r+0]=e,t},e}(ta);ma.prototype.bytesPerElement=4,ii("StructArrayLayout1f4",ma);var xa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.int16[i+0]=e,this.int16[i+1]=r,this.int16[i+2]=n,t},e}(ta);xa.prototype.bytesPerElement=6,ii("StructArrayLayout3i6",xa);var ba=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=2*t,a=4*t;return this.uint32[i+0]=e,this.uint16[a+2]=r,this.uint16[a+3]=n,t},e}(ta);ba.prototype.bytesPerElement=8,ii("StructArrayLayout1ul2ui8",ba);var _a=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.uint16[n+0]=e,this.uint16[n+1]=r,t},e}(ta);_a.prototype.bytesPerElement=4,ii("StructArrayLayout2ui4",_a);var wa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint16[r+0]=e,t},e}(ta);wa.prototype.bytesPerElement=2,ii("StructArrayLayout1ui2",wa);var Ta=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.float32[n+0]=e,this.float32[n+1]=r,t},e}(ta);Ta.prototype.bytesPerElement=8,ii("StructArrayLayout2f8",Ta);var Aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,this.float32[a+3]=i,t},e}(ta);Aa.prototype.bytesPerElement=16,ii("StructArrayLayout4f16",Aa);var ka=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorPointX:{configurable:!0},anchorPointY:{configurable:!0},x1:{configurable:!0},y1:{configurable:!0},x2:{configurable:!0},y2:{configurable:!0},featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0},anchorPoint:{configurable:!0}};return r.anchorPointX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorPointY.get=function(){return this._structArray.int16[this._pos2+1]},r.x1.get=function(){return this._structArray.int16[this._pos2+2]},r.y1.get=function(){return this._structArray.int16[this._pos2+3]},r.x2.get=function(){return this._structArray.int16[this._pos2+4]},r.y2.get=function(){return this._structArray.int16[this._pos2+5]},r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+8]},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.anchorPoint.get=function(){return new a(this.anchorPointX,this.anchorPointY)},Object.defineProperties(e.prototype,r),e}(Qi);ka.prototype.size=20;var Ma=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ka(this,t)},e}(fa);ii("CollisionBoxArray",Ma);var Sa=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},glyphStartIndex:{configurable:!0},numGlyphs:{configurable:!0},vertexStartIndex:{configurable:!0},lineStartIndex:{configurable:!0},lineLength:{configurable:!0},segment:{configurable:!0},lowerSize:{configurable:!0},upperSize:{configurable:!0},lineOffsetX:{configurable:!0},lineOffsetY:{configurable:!0},writingMode:{configurable:!0},placedOrientation:{configurable:!0},hidden:{configurable:!0},crossTileID:{configurable:!0},associatedIconIndex:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.glyphStartIndex.get=function(){return this._structArray.uint16[this._pos2+2]},r.numGlyphs.get=function(){return this._structArray.uint16[this._pos2+3]},r.vertexStartIndex.get=function(){return this._structArray.uint32[this._pos4+2]},r.lineStartIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.lineLength.get=function(){return this._structArray.uint32[this._pos4+4]},r.segment.get=function(){return this._structArray.uint16[this._pos2+10]},r.lowerSize.get=function(){return this._structArray.uint16[this._pos2+11]},r.upperSize.get=function(){return this._structArray.uint16[this._pos2+12]},r.lineOffsetX.get=function(){return this._structArray.float32[this._pos4+7]},r.lineOffsetY.get=function(){return this._structArray.float32[this._pos4+8]},r.writingMode.get=function(){return this._structArray.uint8[this._pos1+36]},r.placedOrientation.get=function(){return this._structArray.uint8[this._pos1+37]},r.placedOrientation.set=function(t){this._structArray.uint8[this._pos1+37]=t},r.hidden.get=function(){return this._structArray.uint8[this._pos1+38]},r.hidden.set=function(t){this._structArray.uint8[this._pos1+38]=t},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+10]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+10]=t},r.associatedIconIndex.get=function(){return this._structArray.int16[this._pos2+22]},Object.defineProperties(e.prototype,r),e}(Qi);Sa.prototype.size=48;var Ea=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new Sa(this,t)},e}(ga);ii("PlacedSymbolArray",Ea);var La=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},rightJustifiedTextSymbolIndex:{configurable:!0},centerJustifiedTextSymbolIndex:{configurable:!0},leftJustifiedTextSymbolIndex:{configurable:!0},verticalPlacedTextSymbolIndex:{configurable:!0},placedIconSymbolIndex:{configurable:!0},verticalPlacedIconSymbolIndex:{configurable:!0},key:{configurable:!0},textBoxStartIndex:{configurable:!0},textBoxEndIndex:{configurable:!0},verticalTextBoxStartIndex:{configurable:!0},verticalTextBoxEndIndex:{configurable:!0},iconBoxStartIndex:{configurable:!0},iconBoxEndIndex:{configurable:!0},verticalIconBoxStartIndex:{configurable:!0},verticalIconBoxEndIndex:{configurable:!0},featureIndex:{configurable:!0},numHorizontalGlyphVertices:{configurable:!0},numVerticalGlyphVertices:{configurable:!0},numIconVertices:{configurable:!0},numVerticalIconVertices:{configurable:!0},useRuntimeCollisionCircles:{configurable:!0},crossTileID:{configurable:!0},textBoxScale:{configurable:!0},textOffset0:{configurable:!0},textOffset1:{configurable:!0},collisionCircleDiameter:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.rightJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+2]},r.centerJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+3]},r.leftJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+4]},r.verticalPlacedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+5]},r.placedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+6]},r.verticalPlacedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+7]},r.key.get=function(){return this._structArray.uint16[this._pos2+8]},r.textBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.textBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+10]},r.verticalTextBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+11]},r.verticalTextBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+12]},r.iconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+13]},r.iconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+14]},r.verticalIconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+15]},r.verticalIconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+16]},r.featureIndex.get=function(){return this._structArray.uint16[this._pos2+17]},r.numHorizontalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+18]},r.numVerticalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+19]},r.numIconVertices.get=function(){return this._structArray.uint16[this._pos2+20]},r.numVerticalIconVertices.get=function(){return this._structArray.uint16[this._pos2+21]},r.useRuntimeCollisionCircles.get=function(){return this._structArray.uint16[this._pos2+22]},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+12]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+12]=t},r.textBoxScale.get=function(){return this._structArray.float32[this._pos4+13]},r.textOffset0.get=function(){return this._structArray.float32[this._pos4+14]},r.textOffset1.get=function(){return this._structArray.float32[this._pos4+15]},r.collisionCircleDiameter.get=function(){return this._structArray.float32[this._pos4+16]},Object.defineProperties(e.prototype,r),e}(Qi);La.prototype.size=68;var Ca=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new La(this,t)},e}(ya);ii("SymbolInstanceArray",Ca);var Pa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getoffsetX=function(t){return this.float32[1*t+0]},e}(ma);ii("GlyphOffsetArray",Pa);var Oa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getx=function(t){return this.int16[3*t+0]},e.prototype.gety=function(t){return this.int16[3*t+1]},e.prototype.gettileUnitDistanceFromAnchor=function(t){return this.int16[3*t+2]},e}(xa);ii("SymbolLineVertexArray",Oa);var Ia=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0}};return r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+0]},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+2]},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+3]},Object.defineProperties(e.prototype,r),e}(Qi);Ia.prototype.size=8;var Da=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new Ia(this,t)},e}(ba);ii("FeatureIndexArray",Da);var za=ea([{name:"a_pos",components:2,type:"Int16"}],4).members,Ra=function(t){void 0===t&&(t=[]),this.segments=t};function Fa(t,e){return 256*(t=u(Math.floor(t),0,255))+u(Math.floor(e),0,255)}Ra.prototype.prepareSegment=function(t,e,r,n){var i=this.segments[this.segments.length-1];return t>Ra.MAX_VERTEX_ARRAY_LENGTH&&w("Max vertices per segment is "+Ra.MAX_VERTEX_ARRAY_LENGTH+": bucket requested "+t),(!i||i.vertexLength+t>Ra.MAX_VERTEX_ARRAY_LENGTH||i.sortKey!==n)&&(i={vertexOffset:e.length,primitiveOffset:r.length,vertexLength:0,primitiveLength:0},void 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r,n,i,a,o,s,l,u;for(r=3&t.length,n=t.length-r,i=e,o=3432918353,s=461845907,u=0;u<n;)l=255&t.charCodeAt(u)|(255&t.charCodeAt(++u))<<8|(255&t.charCodeAt(++u))<<16|(255&t.charCodeAt(++u))<<24,++u,i=27492+(65535&(a=5*(65535&(i=(i^=l=(65535&(l=(l=(65535&l)*o+(((l>>>16)*o&65535)<<16)&4294967295)<<15|l>>>17))*s+(((l>>>16)*s&65535)<<16)&4294967295)<<13|i>>>19))+((5*(i>>>16)&65535)<<16)&4294967295))+(((a>>>16)+58964&65535)<<16);switch(l=0,r){case 3:l^=(255&t.charCodeAt(u+2))<<16;case 2:l^=(255&t.charCodeAt(u+1))<<8;case 1:i^=l=(65535&(l=(l=(65535&(l^=255&t.charCodeAt(u)))*o+(((l>>>16)*o&65535)<<16)&4294967295)<<15|l>>>17))*s+(((l>>>16)*s&65535)<<16)&4294967295}return i^=t.length,i=2246822507*(65535&(i^=i>>>16))+((2246822507*(i>>>16)&65535)<<16)&4294967295,i=3266489909*(65535&(i^=i>>>13))+((3266489909*(i>>>16)&65535)<<16)&4294967295,(i^=i>>>16)>>>0}}),ja=e(function(t){t.exports=function(t,e){for(var r,n=t.length,i=e^n,a=0;n>=4;)r=1540483477*(65535&(r=255&t.charCodeAt(a)|(255&t.charCodeAt(++a))<<8|(255&t.charCodeAt(++a))<<16|(255&t.charCodeAt(++a))<<24))+((1540483477*(r>>>16)&65535)<<16),i=1540483477*(65535&i)+((1540483477*(i>>>16)&65535)<<16)^(r=1540483477*(65535&(r^=r>>>24))+((1540483477*(r>>>16)&65535)<<16)),n-=4,++a;switch(n){case 3:i^=(255&t.charCodeAt(a+2))<<16;case 2:i^=(255&t.charCodeAt(a+1))<<8;case 1:i=1540483477*(65535&(i^=255&t.charCodeAt(a)))+((1540483477*(i>>>16)&65535)<<16)}return i=1540483477*(65535&(i^=i>>>13))+((1540483477*(i>>>16)&65535)<<16),(i^=i>>>15)>>>0}}),Ua=Na,Va=Na,Ha=ja;Ua.murmur3=Va,Ua.murmur2=Ha;var qa=function(){this.ids=[],this.positions=[],this.indexed=!1};qa.prototype.add=function(t,e,r,n){this.ids.push(Ya(t)),this.positions.push(e,r,n)},qa.prototype.getPositions=function(t){for(var e=Ya(t),r=0,n=this.ids.length-1;r<n;){var i=r+n>>1;this.ids[i]>=e?n=i:r=i+1}for(var a=[];this.ids[r]===e;){var 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t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){this.current!==t&&(this.current=t,this.gl.uniform1i(this.location,t))},e}(Xa),Ka=function(t){function e(e,r){t.call(this,e,r),this.current=0}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){this.current!==t&&(this.current=t,this.gl.uniform1f(this.location,t))},e}(Xa),$a=function(t){function e(e,r){t.call(this,e,r),this.current=[0,0]}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){t[0]===this.current[0]&&t[1]===this.current[1]||(this.current=t,this.gl.uniform2f(this.location,t[0],t[1]))},e}(Xa),Qa=function(t){function e(e,r){t.call(this,e,r),this.current=[0,0,0]}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){t[0]===this.current[0]&&t[1]===this.current[1]&&t[2]===this.current[2]||(this.current=t,this.gl.uniform3f(this.location,t[0],t[1],t[2]))},e}(Xa),to=function(t){function e(e,r){t.call(this,e,r),this.current=[0,0,0,0]}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){t[0]===this.current[0]&&t[1]===this.current[1]&&t[2]===this.current[2]&&t[3]===this.current[3]||(this.current=t,this.gl.uniform4f(this.location,t[0],t[1],t[2],t[3]))},e}(Xa),eo=function(t){function e(e,r){t.call(this,e,r),this.current=oe.transparent}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){t.r===this.current.r&&t.g===this.current.g&&t.b===this.current.b&&t.a===this.current.a||(this.current=t,this.gl.uniform4f(this.location,t.r,t.g,t.b,t.a))},e}(Xa),ro=new Float32Array(16),no=function(t){function e(e,r){t.call(this,e,r),this.current=ro}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){if(t[12]!==this.current[12]||t[0]!==this.current[0])return this.current=t,void this.gl.uniformMatrix4fv(this.location,!1,t);for(var e=1;e<16;e++)if(t[e]!==this.current[e]){this.current=t,this.gl.uniformMatrix4fv(this.location,!1,t);break}},e}(Xa);function io(t){return[Fa(255*t.r,255*t.g),Fa(255*t.b,255*t.a)]}var ao=function(t,e,r){this.value=t,this.uniformNames=e.map(function(t){return"u_"+t}),this.type=r};ao.prototype.setUniform=function(t,e,r){t.set(r.constantOr(this.value))},ao.prototype.getBinding=function(t,e,r){return"color"===this.type?new eo(t,e):new Ka(t,e)};var oo=function(t,e){this.uniformNames=e.map(function(t){return"u_"+t}),this.patternFrom=null,this.patternTo=null,this.pixelRatioFrom=1,this.pixelRatioTo=1};oo.prototype.setConstantPatternPositions=function(t,e){this.pixelRatioFrom=e.pixelRatio,this.pixelRatioTo=t.pixelRatio,this.patternFrom=e.tlbr,this.patternTo=t.tlbr},oo.prototype.setUniform=function(t,e,r,n){var i="u_pattern_to"===n?this.patternTo:"u_pattern_from"===n?this.patternFrom:"u_pixel_ratio_to"===n?this.pixelRatioTo:"u_pixel_ratio_from"===n?this.pixelRatioFrom:null;i&&t.set(i)},oo.prototype.getBinding=function(t,e,r){return"u_pattern"===r.substr(0,9)?new to(t,e):new Ka(t,e)};var so=function(t,e,r,n){this.expression=t,this.type=r,this.maxValue=0,this.paintVertexAttributes=e.map(function(t){return{name:"a_"+t,type:"Float32",components:"color"===r?2:1,offset:0}}),this.paintVertexArray=new n};so.prototype.populatePaintArray=function(t,e,r,n,i){var a=this.paintVertexArray.length,o=this.expression.evaluate(new zi(0),e,{},n,[],i);this.paintVertexArray.resize(t),this._setPaintValue(a,t,o)},so.prototype.updatePaintArray=function(t,e,r,n){var i=this.expression.evaluate({zoom:0},r,n);this._setPaintValue(t,e,i)},so.prototype._setPaintValue=function(t,e,r){if("color"===this.type)for(var n=io(r),i=t;i<e;i++)this.paintVertexArray.emplace(i,n[0],n[1]);else{for(var a=t;a<e;a++)this.paintVertexArray.emplace(a,r);this.maxValue=Math.max(this.maxValue,Math.abs(r))}},so.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},so.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()};var lo=function(t,e,r,n,i,a){this.expression=t,this.uniformNames=e.map(function(t){return"u_"+t+"_t"}),this.type=r,this.useIntegerZoom=n,this.zoom=i,this.maxValue=0,this.paintVertexAttributes=e.map(function(t){return{name:"a_"+t,type:"Float32",components:"color"===r?4:2,offset:0}}),this.paintVertexArray=new a};lo.prototype.populatePaintArray=function(t,e,r,n,i){var a=this.expression.evaluate(new zi(this.zoom),e,{},n,[],i),o=this.expression.evaluate(new zi(this.zoom+1),e,{},n,[],i),s=this.paintVertexArray.length;this.paintVertexArray.resize(t),this._setPaintValue(s,t,a,o)},lo.prototype.updatePaintArray=function(t,e,r,n){var i=this.expression.evaluate({zoom:this.zoom},r,n),a=this.expression.evaluate({zoom:this.zoom+1},r,n);this._setPaintValue(t,e,i,a)},lo.prototype._setPaintValue=function(t,e,r,n){if("color"===this.type)for(var i=io(r),a=io(n),o=t;o<e;o++)this.paintVertexArray.emplace(o,i[0],i[1],a[0],a[1]);else{for(var s=t;s<e;s++)this.paintVertexArray.emplace(s,r,n);this.maxValue=Math.max(this.maxValue,Math.abs(r),Math.abs(n))}},lo.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},lo.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()},lo.prototype.setUniform=function(t,e){var r=this.useIntegerZoom?Math.floor(e.zoom):e.zoom,n=u(this.expression.interpolationFactor(r,this.zoom,this.zoom+1),0,1);t.set(n)},lo.prototype.getBinding=function(t,e,r){return new Ka(t,e)};var uo=function(t,e,r,n,i,a){this.expression=t,this.type=e,this.useIntegerZoom=r,this.zoom=n,this.layerId=a,this.zoomInPaintVertexArray=new i,this.zoomOutPaintVertexArray=new i};uo.prototype.populatePaintArray=function(t,e,r){var n=this.zoomInPaintVertexArray.length;this.zoomInPaintVertexArray.resize(t),this.zoomOutPaintVertexArray.resize(t),this._setPaintValues(n,t,e.patterns&&e.patterns[this.layerId],r)},uo.prototype.updatePaintArray=function(t,e,r,n,i){this._setPaintValues(t,e,r.patterns&&r.patterns[this.layerId],i)},uo.prototype._setPaintValues=function(t,e,r,n){if(n&&r){var i=r.min,a=r.mid,o=r.max,s=n[i],l=n[a],u=n[o];if(s&&l&&u)for(var c=t;c<e;c++)this.zoomInPaintVertexArray.emplace(c,l.tl[0],l.tl[1],l.br[0],l.br[1],s.tl[0],s.tl[1],s.br[0],s.br[1],l.pixelRatio,s.pixelRatio),this.zoomOutPaintVertexArray.emplace(c,l.tl[0],l.tl[1],l.br[0],l.br[1],u.tl[0],u.tl[1],u.br[0],u.br[1],l.pixelRatio,u.pixelRatio)}},uo.prototype.upload=function(t){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=t.createVertexBuffer(this.zoomInPaintVertexArray,Ba.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=t.createVertexBuffer(this.zoomOutPaintVertexArray,Ba.members,this.expression.isStateDependent))},uo.prototype.destroy=function(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()};var co=function(t,e,r,n){this.binders={},this.layoutAttributes=n,this._buffers=[];var i=[];for(var a in 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To(Do(t,this.paint.get("fill-translate"),this.paint.get("fill-translate-anchor"),a.angle,o),n)},e.prototype.isTileClipped=function(){return!0},e}(Ki),Gs=ea([{name:"a_pos",components:2,type:"Int16"},{name:"a_normal_ed",components:4,type:"Int16"}],4).members,Ys=Ws;function Ws(t,e,r,n,i){this.properties={},this.extent=r,this.type=0,this._pbf=t,this._geometry=-1,this._keys=n,this._values=i,t.readFields(Zs,this,e)}function Zs(t,e,r){1==t?e.id=r.readVarint():2==t?function(t,e){for(var r=t.readVarint()+t.pos;t.pos<r;){var n=e._keys[t.readVarint()],i=e._values[t.readVarint()];e.properties[n]=i}}(r,e):3==t?e.type=r.readVarint():4==t&&(e._geometry=r.pos)}function Xs(t){for(var e,r,n=0,i=0,a=t.length,o=a-1;i<a;o=i++)e=t[i],n+=((r=t[o]).x-e.x)*(e.y+r.y);return n}Ws.types=["Unknown","Point","LineString","Polygon"],Ws.prototype.loadGeometry=function(){var t=this._pbf;t.pos=this._geometry;for(var e,r=t.readVarint()+t.pos,n=1,i=0,o=0,s=0,l=[];t.pos<r;){if(i<=0){var u=t.readVarint();n=7&u,i=u>>3}if(i--,1===n||2===n)o+=t.readSVarint(),s+=t.readSVarint(),1===n&&(e&&l.push(e),e=[]),e.push(new a(o,s));else{if(7!==n)throw new Error("unknown command "+n);e&&e.push(e[0].clone())}}return e&&l.push(e),l},Ws.prototype.bbox=function(){var t=this._pbf;t.pos=this._geometry;for(var e=t.readVarint()+t.pos,r=1,n=0,i=0,a=0,o=1/0,s=-1/0,l=1/0,u=-1/0;t.pos<e;){if(n<=0){var c=t.readVarint();r=7&c,n=c>>3}if(n--,1===r||2===r)(i+=t.readSVarint())<o&&(o=i),i>s&&(s=i),(a+=t.readSVarint())<l&&(l=a),a>u&&(u=a);else if(7!==r)throw new Error("unknown command "+r)}return[o,l,s,u]},Ws.prototype.toGeoJSON=function(t,e,r){var n,i,a=this.extent*Math.pow(2,r),o=this.extent*t,s=this.extent*e,l=this.loadGeometry(),u=Ws.types[this.type];function c(t){for(var e=0;e<t.length;e++){var r=t[e],n=180-360*(r.y+s)/a;t[e]=[360*(r.x+o)/a-180,360/Math.PI*Math.atan(Math.exp(n*Math.PI/180))-90]}}switch(this.type){case 1:var f=[];for(n=0;n<l.length;n++)f[n]=l[n][0];c(l=f);break;case 2:for(n=0;n<l.length;n++)c(l[n]);break;case 3:for(l=function(t){var e=t.length;if(e<=1)return[t];for(var r,n,i=[],a=0;a<e;a++){var o=Xs(t[a]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&i.push(r),r=[t[a]]):r.push(t[a]))}return r&&i.push(r),i}(l),n=0;n<l.length;n++)for(i=0;i<l[n].length;i++)c(l[n][i])}1===l.length?l=l[0]:u="Multi"+u;var h={type:"Feature",geometry:{type:u,coordinates:l},properties:this.properties};return"id"in this&&(h.id=this.id),h};var Js=Ks;function Ks(t,e){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=t,this._keys=[],this._values=[],this._features=[],t.readFields($s,this,e),this.length=this._features.length}function $s(t,e,r){15===t?e.version=r.readVarint():1===t?e.name=r.readString():5===t?e.extent=r.readVarint():2===t?e._features.push(r.pos):3===t?e._keys.push(r.readString()):4===t&&e._values.push(function(t){for(var e=null,r=t.readVarint()+t.pos;t.pos<r;){var n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}function Qs(t,e,r){if(3===t){var n=new Js(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Ks.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error("feature index out of bounds");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new Ys(this._pbf,e,this.extent,this._keys,this._values)};var tl={VectorTile:function(t,e){this.layers=t.readFields(Qs,{},e)},VectorTileFeature:Ys,VectorTileLayer:Js},el=tl.VectorTileFeature.types,rl=Math.pow(2,13);function nl(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*rl)+o,i*rl*2,a*rl*2,Math.round(s))}var il=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map(function(t){return t.id}),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new aa,this.indexArray=new va,this.programConfigurations=new fo(Gs,t.layers,t.zoom),this.segments=new Ra,this.stateDependentLayerIds=this.layers.filter(function(t){return t.isStateDependent()}).map(function(t){return t.id})};function al(t,e){return t.x===e.x&&(t.x<0||t.x>vo)||t.y===e.y&&(t.y<0||t.y>vo)}function ol(t){return t.every(function(t){return t.x<0})||t.every(function(t){return t.x>vo})||t.every(function(t){return t.y<0})||t.every(function(t){return t.y>vo})}il.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=Ns("fill-extrusion",this.layers,e);for(var n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.feature,s=a.id,l=a.index,u=a.sourceLayerIndex,c=this.layers[0]._featureFilter.needGeometry,f={type:o.type,id:s,properties:o.properties,geometry:c?mo(o):[]};if(this.layers[0]._featureFilter.filter(new zi(this.zoom),f,r)){var h={id:s,sourceLayerIndex:u,index:l,geometry:c?f.geometry:mo(o),properties:o.properties,type:o.type,patterns:{}};void 0!==o.id&&(h.id=o.id),this.hasPattern?this.features.push(js("fill-extrusion",this.layers,h,this.zoom,e)):this.addFeature(h,h.geometry,l,r,{}),e.featureIndex.insert(o,h.geometry,l,u,this.index,!0)}}},il.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.features;n<i.length;n+=1){var a=i[n],o=a.geometry;this.addFeature(a,o,a.index,e,r)}},il.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},il.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},il.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},il.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Gs),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},il.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},il.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=Fs(e,500);a<o.length;a+=1){for(var s=o[a],l=0,u=0,c=s;u<c.length;u+=1)l+=c[u].length;for(var f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),h=0,p=s;h<p.length;h+=1){var d=p[h];if(0!==d.length&&!ol(d))for(var v=0,g=0;g<d.length;g++){var y=d[g];if(g>=1){var m=d[g-1];if(!al(y,m)){f.vertexLength+4>Ra.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=y.sub(m)._perp()._unit(),b=m.dist(y);v+b>32768&&(v=0),nl(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,v),nl(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,v),v+=b,nl(this.layoutVertexArray,m.x,m.y,x.x,x.y,0,0,v),nl(this.layoutVertexArray,m.x,m.y,x.x,x.y,0,1,v);var _=f.vertexLength;this.indexArray.emplaceBack(_,_+2,_+1),this.indexArray.emplaceBack(_+1,_+2,_+3),f.vertexLength+=4,f.primitiveLength+=2}}}}if(f.vertexLength+l>Ra.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),"Polygon"===el[t.type]){for(var w=[],T=[],A=f.vertexLength,k=0,M=s;k<M.length;k+=1){var S=M[k];if(0!==S.length){S!==s[0]&&T.push(w.length/2);for(var E=0;E<S.length;E++){var L=S[E];nl(this.layoutVertexArray,L.x,L.y,0,0,1,1,0),w.push(L.x),w.push(L.y)}}}for(var C=as(w,T),P=0;P<C.length;P+=3)this.indexArray.emplaceBack(A+C[P],A+C[P+2],A+C[P+1]);f.primitiveLength+=C.length/3,f.vertexLength+=l}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},ii("FillExtrusionBucket",il,{omit:["layers","features"]});var sl={paint:new Xi({"fill-extrusion-opacity":new qi(Dt["paint_fill-extrusion"]["fill-extrusion-opacity"]),"fill-extrusion-color":new Gi(Dt["paint_fill-extrusion"]["fill-extrusion-color"]),"fill-extrusion-translate":new qi(Dt["paint_fill-extrusion"]["fill-extrusion-translate"]),"fill-extrusion-translate-anchor":new qi(Dt["paint_fill-extrusion"]["fill-extrusion-translate-anchor"]),"fill-extrusion-pattern":new Yi(Dt["paint_fill-extrusion"]["fill-extrusion-pattern"]),"fill-extrusion-height":new Gi(Dt["paint_fill-extrusion"]["fill-extrusion-height"]),"fill-extrusion-base":new Gi(Dt["paint_fill-extrusion"]["fill-extrusion-base"]),"fill-extrusion-vertical-gradient":new qi(Dt["paint_fill-extrusion"]["fill-extrusion-vertical-gradient"])})},ll=function(t){function e(e){t.call(this,e,sl)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new il(t)},e.prototype.queryRadius=function(){return Io(this.paint.get("fill-extrusion-translate"))},e.prototype.is3D=function(){return!0},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,o,s,l){var u=Do(t,this.paint.get("fill-extrusion-translate"),this.paint.get("fill-extrusion-translate-anchor"),o.angle,s),c=this.paint.get("fill-extrusion-height").evaluate(e,r),f=this.paint.get("fill-extrusion-base").evaluate(e,r),h=function(t,e,r,n){for(var i=[],o=0,s=t;o<s.length;o+=1){var l=s[o],u=[l.x,l.y,n,1];Ho(u,u,e),i.push(new a(u[0]/u[3],u[1]/u[3]))}return i}(u,l,0,0),p=function(t,e,r,n){for(var i=[],o=[],s=n[8]*e,l=n[9]*e,u=n[10]*e,c=n[11]*e,f=n[8]*r,h=n[9]*r,p=n[10]*r,d=n[11]*r,v=0,g=t;v<g.length;v+=1){for(var y=[],m=[],x=0,b=g[v];x<b.length;x+=1){var _=b[x],w=_.x,T=_.y,A=n[0]*w+n[4]*T+n[12],k=n[1]*w+n[5]*T+n[13],M=n[2]*w+n[6]*T+n[14],S=n[3]*w+n[7]*T+n[15],E=M+u,L=S+c,C=A+f,P=k+h,O=M+p,I=S+d,D=new a((A+s)/L,(k+l)/L);D.z=E/L,y.push(D);var z=new a(C/I,P/I);z.z=O/I,m.push(z)}i.push(y),o.push(m)}return[i,o]}(n,f,c,l);return function(t,e,r){var n=1/0;To(r,e)&&(n=cl(r,e[0]));for(var i=0;i<e.length;i++)for(var a=e[i],o=t[i],s=0;s<a.length-1;s++){var l=a[s],u=a[s+1],c=o[s],f=[l,u,o[s+1],c,l];_o(r,f)&&(n=Math.min(n,cl(r,f)))}return n!==1/0&&n}(p[0],p[1],h)},e}(Ki);function ul(t,e){return t.x*e.x+t.y*e.y}function cl(t,e){if(1===t.length){for(var r,n=0,i=e[n++];!r||i.equals(r);)if(!(r=e[n++]))return 1/0;for(;n<e.length;n++){var a=e[n],o=t[0],s=r.sub(i),l=a.sub(i),u=o.sub(i),c=ul(s,s),f=ul(s,l),h=ul(l,l),p=ul(u,s),d=ul(u,l),v=c*h-f*f,g=(h*p-f*d)/v,y=(c*d-f*p)/v,m=1-g-y,x=i.z*m+r.z*g+a.z*y;if(isFinite(x))return x}return 1/0}for(var b=1/0,_=0,w=e;_<w.length;_+=1){var T=w[_];b=Math.min(b,T.z)}return b}var fl=ea([{name:"a_pos_normal",components:2,type:"Int16"},{name:"a_data",components:4,type:"Uint8"}],4).members,hl=tl.VectorTileFeature.types,pl=Math.cos(Math.PI/180*37.5),dl=Math.pow(2,14)/.5,vl=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map(function(t){return t.id}),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.layoutVertexArray=new oa,this.indexArray=new va,this.programConfigurations=new fo(fl,t.layers,t.zoom),this.segments=new Ra,this.stateDependentLayerIds=this.layers.filter(function(t){return t.isStateDependent()}).map(function(t){return t.id})};vl.prototype.populate=function(t,e,r){this.hasPattern=Ns("line",this.layers,e);for(var n=this.layers[0].layout.get("line-sort-key"),i=[],a=0,o=t;a<o.length;a+=1){var s=o[a],l=s.feature,u=s.id,c=s.index,f=s.sourceLayerIndex,h=this.layers[0]._featureFilter.needGeometry,p={type:l.type,id:u,properties:l.properties,geometry:h?mo(l):[]};if(this.layers[0]._featureFilter.filter(new zi(this.zoom),p,r)){h||(p.geometry=mo(l));var d=n?n.evaluate(p,{},r):void 0,v={id:u,properties:l.properties,type:l.type,sourceLayerIndex:f,index:c,geometry:p.geometry,patterns:{},sortKey:d};i.push(v)}}n&&i.sort(function(t,e){return t.sortKey-e.sortKey});for(var g=0,y=i;g<y.length;g+=1){var m=y[g],x=m,b=x.geometry,_=x.index,w=x.sourceLayerIndex;if(this.hasPattern){var T=js("line",this.layers,m,this.zoom,e);this.patternFeatures.push(T)}else this.addFeature(m,b,_,r,{});var A=t[_].feature;e.featureIndex.insert(A,b,_,w,this.index)}},vl.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},vl.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.patternFeatures;n<i.length;n+=1){var a=i[n];this.addFeature(a,a.geometry,a.index,e,r)}},vl.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},vl.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},vl.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,fl),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},vl.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},vl.prototype.addFeature=function(t,e,r,n,i){for(var a=this.layers[0].layout,o=a.get("line-join").evaluate(t,{}),s=a.get("line-cap"),l=a.get("line-miter-limit"),u=a.get("line-round-limit"),c=0,f=e;c<f.length;c+=1){var h=f[c];this.addLine(h,t,o,s,l,u)}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},vl.prototype.addLine=function(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,e.properties&&e.properties.hasOwnProperty("mapbox_clip_start")&&e.properties.hasOwnProperty("mapbox_clip_end")){this.clipStart=+e.properties.mapbox_clip_start,this.clipEnd=+e.properties.mapbox_clip_end;for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance()}for(var s="Polygon"===hl[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var u=0;u<l-1&&t[u].equals(t[u+1]);)u++;if(!(l<(s?3:2))){"bevel"===r&&(i=1.05);var c,f=this.overscaling<=16?122880/(512*this.overscaling):0,h=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 0,d=void 0,v=void 0,g=void 0;this.e1=this.e2=-1,s&&(c=t[l-2],g=t[u].sub(c)._unit()._perp());for(var y=u;y<l;y++)if(!(d=y===l-1?s?t[u+1]:void 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I=Math.round(180*w/Math.PI/20),D=1;D<I;D++){var z=D/I;if(.5!==z){var R=z-.5;z+=z*R*(z-1)*((1.0904+x*(x*(3.55645-1.43519*x)-3.2452))*R*R+(.848013+x*(.215638*x-1.06021)))}var F=g.sub(v)._mult(z)._add(v)._unit()._mult(A?-1:1);this.addHalfVertex(c,F.x,F.y,!1,A,0,h)}d&&this.addCurrentVertex(c,g,-P,-O,h)}else if("butt"===E)this.addCurrentVertex(c,m,0,0,h);else if("square"===E){var B=p?1:-1;this.addCurrentVertex(c,m,B,B,h)}else"round"===E&&(p&&(this.addCurrentVertex(c,v,0,0,h),this.addCurrentVertex(c,v,1,1,h,!0)),d&&(this.addCurrentVertex(c,g,-1,-1,h,!0),this.addCurrentVertex(c,g,0,0,h)));if(T&&y<l-1){var N=c.dist(d);if(N>2*f){var j=c.add(d.sub(c)._mult(f/N)._round());this.updateDistance(c,j),this.addCurrentVertex(j,g,0,0,h),c=j}}}}},vl.prototype.addCurrentVertex=function(t,e,r,n,i,a){void 0===a&&(a=!1);var 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this.length=this.pos,this.pos=0,this.buf.subarray(0,this.length)},writeFixed32:function(t){this.realloc(4),Jl(this.buf,t,this.pos),this.pos+=4},writeSFixed32:function(t){this.realloc(4),Jl(this.buf,t,this.pos),this.pos+=4},writeFixed64:function(t){this.realloc(8),Jl(this.buf,-1&t,this.pos),Jl(this.buf,Math.floor(t*zl),this.pos+4),this.pos+=8},writeSFixed64:function(t){this.realloc(8),Jl(this.buf,-1&t,this.pos),Jl(this.buf,Math.floor(t*zl),this.pos+4),this.pos+=8},writeVarint:function(t){(t=+t||0)>268435455||t<0?function(t,e){var r,n;if(t>=0?(r=t%4294967296|0,n=t/4294967296|0):(n=~(-t/4294967296),4294967295^(r=~(-t%4294967296))?r=r+1|0:(r=0,n=n+1|0)),t>=0x10000000000000000||t<-0x10000000000000000)throw new Error("Given varint doesn't fit into 10 bytes");e.realloc(10),function(t,e,r){r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos]=127&t}(r,0,e),function(t,e){var r=(7&t)<<4;e.buf[e.pos++]|=r|((t>>>=3)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t)))))}(n,e)}(t,this):(this.realloc(4),this.buf[this.pos++]=127&t|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=t>>>7&127))))},writeSVarint:function(t){this.writeVarint(t<0?2*-t-1:2*t)},writeBoolean:function(t){this.writeVarint(Boolean(t))},writeString:function(t){t=String(t),this.realloc(4*t.length),this.pos++;var e=this.pos;this.pos=function(t,e,r){for(var n,i,a=0;a<e.length;a++){if((n=e.charCodeAt(a))>55295&&n<57344){if(!i){n>56319||a+1===e.length?(t[r++]=239,t[r++]=191,t[r++]=189):i=n;continue}if(n<56320){t[r++]=239,t[r++]=191,t[r++]=189,i=n;continue}n=i-55296<<10|n-56320|65536,i=null}else i&&(t[r++]=239,t[r++]=191,t[r++]=189,i=null);n<128?t[r++]=n:(n<2048?t[r++]=n>>6|192:(n<65536?t[r++]=n>>12|224:(t[r++]=n>>18|240,t[r++]=n>>12&63|128),t[r++]=n>>6&63|128),t[r++]=63&n|128)}return r}(this.buf,t,this.pos);var r=this.pos-e;r>=128&&Nl(e,r,this),this.pos=e-1,this.writeVarint(r),this.pos+=r},writeFloat:function(t){this.realloc(4),Pl(this.buf,t,this.pos,!0,23,4),this.pos+=4},writeDouble:function(t){this.realloc(8),Pl(this.buf,t,this.pos,!0,52,8),this.pos+=8},writeBytes:function(t){var e=t.length;this.writeVarint(e),this.realloc(e);for(var r=0;r<e;r++)this.buf[this.pos++]=t[r]},writeRawMessage:function(t,e){this.pos++;var r=this.pos;t(e,this);var n=this.pos-r;n>=128&&Nl(r,n,this),this.pos=r-1,this.writeVarint(n),this.pos+=n},writeMessage:function(t,e,r){this.writeTag(t,Il.Bytes),this.writeRawMessage(e,r)},writePackedVarint:function(t,e){e.length&&this.writeMessage(t,jl,e)},writePackedSVarint:function(t,e){e.length&&this.writeMessage(t,Ul,e)},writePackedBoolean:function(t,e){e.length&&this.writeMessage(t,ql,e)},writePackedFloat:function(t,e){e.length&&this.writeMessage(t,Vl,e)},writePackedDouble:function(t,e){e.length&&this.writeMessage(t,Hl,e)},writePackedFixed32:function(t,e){e.length&&this.writeMessage(t,Gl,e)},writePackedSFixed32:function(t,e){e.length&&this.writeMessage(t,Yl,e)},writePackedFixed64:function(t,e){e.length&&this.writeMessage(t,Wl,e)},writePackedSFixed64:function(t,e){e.length&&this.writeMessage(t,Zl,e)},writeBytesField:function(t,e){this.writeTag(t,Il.Bytes),this.writeBytes(e)},writeFixed32Field:function(t,e){this.writeTag(t,Il.Fixed32),this.writeFixed32(e)},writeSFixed32Field:function(t,e){this.writeTag(t,Il.Fixed32),this.writeSFixed32(e)},writeFixed64Field:function(t,e){this.writeTag(t,Il.Fixed64),this.writeFixed64(e)},writeSFixed64Field:function(t,e){this.writeTag(t,Il.Fixed64),this.writeSFixed64(e)},writeVarintField:function(t,e){this.writeTag(t,Il.Varint),this.writeVarint(e)},writeSVarintField:function(t,e){this.writeTag(t,Il.Varint),this.writeSVarint(e)},writeStringField:function(t,e){this.writeTag(t,Il.Bytes),this.writeString(e)},writeFloatField:function(t,e){this.writeTag(t,Il.Fixed32),this.writeFloat(e)},writeDoubleField:function(t,e){this.writeTag(t,Il.Fixed64),this.writeDouble(e)},writeBooleanField:function(t,e){this.writeVarintField(t,Boolean(e))}};function $l(t,e,r){1===t&&r.readMessage(Ql,e)}function Ql(t,e,r){if(3===t){var n=r.readMessage(tu,{}),i=n.id,a=n.bitmap,o=n.width,s=n.height,l=n.left,u=n.top,c=n.advance;e.push({id:i,bitmap:new Ko({width:o+6,height:s+6},a),metrics:{width:o,height:s,left:l,top:u,advance:c}})}}function tu(t,e,r){1===t?e.id=r.readVarint():2===t?e.bitmap=r.readBytes():3===t?e.width=r.readVarint():4===t?e.height=r.readVarint():5===t?e.left=r.readSVarint():6===t?e.top=r.readSVarint():7===t&&(e.advance=r.readVarint())}function eu(t){for(var e=0,r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];e+=a.w*a.h,r=Math.max(r,a.w)}t.sort(function(t,e){return e.h-t.h});for(var o=[{x:0,y:0,w:Math.max(Math.ceil(Math.sqrt(e/.95)),r),h:1/0}],s=0,l=0,u=0,c=t;u<c.length;u+=1)for(var f=c[u],h=o.length-1;h>=0;h--){var p=o[h];if(!(f.w>p.w||f.h>p.h)){if(f.x=p.x,f.y=p.y,l=Math.max(l,f.y+f.h),s=Math.max(s,f.x+f.w),f.w===p.w&&f.h===p.h){var d=o.pop();h<o.length&&(o[h]=d)}else f.h===p.h?(p.x+=f.w,p.w-=f.w):f.w===p.w?(p.y+=f.h,p.h-=f.h):(o.push({x:p.x+f.w,y:p.y,w:p.w-f.w,h:f.h}),p.y+=f.h,p.h-=f.h);break}}return{w:s,h:l,fill:e/(s*l)||0}}var ru=function(t,e){var r=e.pixelRatio,n=e.version,i=e.stretchX,a=e.stretchY,o=e.content;this.paddedRect=t,this.pixelRatio=r,this.stretchX=i,this.stretchY=a,this.content=o,this.version=n},nu={tl:{configurable:!0},br:{configurable:!0},tlbr:{configurable:!0},displaySize:{configurable:!0}};nu.tl.get=function(){return[this.paddedRect.x+1,this.paddedRect.y+1]},nu.br.get=function(){return[this.paddedRect.x+this.paddedRect.w-1,this.paddedRect.y+this.paddedRect.h-1]},nu.tlbr.get=function(){return this.tl.concat(this.br)},nu.displaySize.get=function(){return[(this.paddedRect.w-2)/this.pixelRatio,(this.paddedRect.h-2)/this.pixelRatio]},Object.defineProperties(ru.prototype,nu);var iu=function(t,e){var r={},n={};this.haveRenderCallbacks=[];var i=[];this.addImages(t,r,i),this.addImages(e,n,i);var a=eu(i),o=a.w,s=a.h,l=new $o({width:o||1,height:s||1});for(var u in t){var c=t[u],f=r[u].paddedRect;$o.copy(c.data,l,{x:0,y:0},{x:f.x+1,y:f.y+1},c.data)}for(var h in e){var p=e[h],d=n[h].paddedRect,v=d.x+1,g=d.y+1,y=p.data.width,m=p.data.height;$o.copy(p.data,l,{x:0,y:0},{x:v,y:g},p.data),$o.copy(p.data,l,{x:0,y:m-1},{x:v,y:g-1},{width:y,height:1}),$o.copy(p.data,l,{x:0,y:0},{x:v,y:g+m},{width:y,height:1}),$o.copy(p.data,l,{x:y-1,y:0},{x:v-1,y:g},{width:1,height:m}),$o.copy(p.data,l,{x:0,y:0},{x:v+y,y:g},{width:1,height:m})}this.image=l,this.iconPositions=r,this.patternPositions=n};iu.prototype.addImages=function(t,e,r){for(var n in t){var i=t[n],a={x:0,y:0,w:i.data.width+2,h:i.data.height+2};r.push(a),e[n]=new ru(a,i),i.hasRenderCallback&&this.haveRenderCallbacks.push(n)}},iu.prototype.patchUpdatedImages=function(t,e){for(var r in t.dispatchRenderCallbacks(this.haveRenderCallbacks),t.updatedImages)this.patchUpdatedImage(this.iconPositions[r],t.getImage(r),e),this.patchUpdatedImage(this.patternPositions[r],t.getImage(r),e)},iu.prototype.patchUpdatedImage=function(t,e,r){if(t&&e&&t.version!==e.version){t.version=e.version;var n=t.tl,i=n[0],a=n[1];r.update(e.data,void 0,{x:i,y:a})}},ii("ImagePosition",ru),ii("ImageAtlas",iu);var au={horizontal:1,vertical:2,horizontalOnly:3},ou=-17;var su=function(){this.scale=1,this.fontStack="",this.imageName=null};su.forText=function(t,e){var r=new su;return r.scale=t||1,r.fontStack=e,r},su.forImage=function(t){var e=new su;return e.imageName=t,e};var lu=function(){this.text="",this.sectionIndex=[],this.sections=[],this.imageSectionID=null};function uu(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=lu.fromFeature(t,i);f===au.vertical&&y.verticalizePunctuation();var m=Ii.processBidirectionalText,x=Ii.processStyledBidirectionalText;if(m&&1===y.sections.length){g=[];for(var b=0,_=m(y.toString(),yu(y,u,a,e,n,p,d));b<_.length;b+=1){var w=_[b],T=new lu;T.text=w,T.sections=y.sections;for(var A=0;A<w.length;A++)T.sectionIndex.push(0);g.push(T)}}else if(x){g=[];for(var k=0,M=x(y.text,y.sectionIndex,yu(y,u,a,e,n,p,d));k<M.length;k+=1){var S=M[k],E=new lu;E.text=S[0],E.sectionIndex=S[1],E.sections=y.sections,g.push(E)}}else g=function(t,e){for(var r=[],n=t.text,i=0,a=0,o=e;a<o.length;a+=1){var s=o[a];r.push(t.substring(i,s)),i=s}return i<n.length&&r.push(t.substring(i,n.length)),r}(y,yu(y,u,a,e,n,p,d));var L=[],C={positionedLines:L,text:y.toString(),top:c[1],bottom:c[1],left:c[0],right:c[0],writingMode:f,iconsInText:!1,verticalizable:!1};return function(t,e,r,n,i,a,o,s,l,u,c,f){for(var h=0,p=ou,d=0,v=0,g="right"===s?1:"left"===s?0:.5,y=0,m=0,x=i;m<x.length;m+=1){var b=x[m];b.trim();var _=b.getMaxScale(),w=(_-1)*Ll,T={positionedGlyphs:[],lineOffset:0};t.positionedLines[y]=T;var A=T.positionedGlyphs,k=0;if(b.length()){for(var M=0;M<b.length();M++){var S=b.getSection(M),E=b.getSectionIndex(M),L=b.getCharCode(M),C=0,P=null,O=null,I=null,D=Ll,z=!(l===au.horizontal||!c&&!vi(L)||c&&(cu[L]||yi(L)));if(S.imageName){var R=n[S.imageName];if(!R)continue;I=S.imageName,t.iconsInText=t.iconsInText||!0,O=R.paddedRect;var F=R.displaySize;S.scale=S.scale*Ll/f,P={width:F[0],height:F[1],left:1,top:-3,advance:z?F[1]:F[0]},C=w+(Ll-F[1]*S.scale),D=P.advance;var B=z?F[0]*S.scale-Ll*_:F[1]*S.scale-Ll*_;B>0&&B>k&&(k=B)}else{var N=r[S.fontStack],j=N&&N[L];if(j&&j.rect)O=j.rect,P=j.metrics;else{var U=e[S.fontStack],V=U&&U[L];if(!V)continue;P=V.metrics}C=(_-S.scale)*Ll}z?(t.verticalizable=!0,A.push({glyph:L,imageName:I,x:h,y:p+C,vertical:z,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:O}),h+=D*S.scale+u):(A.push({glyph:L,imageName:I,x:h,y:p+C,vertical:z,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:O}),h+=P.advance*S.scale+u)}if(0!==A.length){var H=h-u;d=Math.max(H,d),xu(A,0,A.length-1,g,k)}h=0;var q=a*_+k;T.lineOffset=Math.max(k,w),p+=q,v=Math.max(q,v),++y}else p+=a,++y}var G=p-ou,Y=mu(o),W=Y.horizontalAlign,Z=Y.verticalAlign;(function(t,e,r,n,i,a,o,s,l){var u=(e-r)*i,c=0;c=a!==o?-s*n-ou:(-n*l+.5)*o;for(var f=0,h=t;f<h.length;f+=1)for(var p=0,d=h[f].positionedGlyphs;p<d.length;p+=1){var v=d[p];v.x+=u,v.y+=c}})(t.positionedLines,g,W,Z,d,v,a,G,i.length),t.top+=-Z*G,t.bottom=t.top+G,t.left+=-W*d,t.right=t.left+d}(C,e,r,n,g,o,s,l,f,u,h,v),!function(t){for(var e=0,r=t;e<r.length;e+=1)if(0!==r[e].positionedGlyphs.length)return!1;return!0}(L)&&C}lu.fromFeature=function(t,e){for(var r=new lu,n=0;n<t.sections.length;n++){var i=t.sections[n];i.image?r.addImageSection(i):r.addTextSection(i,e)}return r},lu.prototype.length=function(){return this.text.length},lu.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},lu.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},lu.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},lu.prototype.verticalizePunctuation=function(){this.text=function(t){for(var e="",r=0;r<t.length;r++){var n=t.charCodeAt(r+1)||null,i=t.charCodeAt(r-1)||null;n&&gi(n)&&!El[t[r+1]]||i&&gi(i)&&!El[t[r-1]]||!El[t[r]]?e+=t[r]:e+=El[t[r]]}return e}(this.text)},lu.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&cu[this.text.charCodeAt(e)];e++)t++;for(var r=this.text.length,n=this.text.length-1;n>=0&&n>=t&&cu[this.text.charCodeAt(n)];n--)r--;this.text=this.text.substring(t,r),this.sectionIndex=this.sectionIndex.slice(t,r)},lu.prototype.substring=function(t,e){var r=new lu;return r.text=this.text.substring(t,e),r.sectionIndex=this.sectionIndex.slice(t,e),r.sections=this.sections,r},lu.prototype.toString=function(){return this.text},lu.prototype.getMaxScale=function(){var t=this;return this.sectionIndex.reduce(function(e,r){return Math.max(e,t.sections[r].scale)},0)},lu.prototype.addTextSection=function(t,e){this.text+=t.text,this.sections.push(su.forText(t.scale,t.fontStack||e));for(var r=this.sections.length-1,n=0;n<t.text.length;++n)this.sectionIndex.push(r)},lu.prototype.addImageSection=function(t){var e=t.image?t.image.name:"";if(0!==e.length){var r=this.getNextImageSectionCharCode();r?(this.text+=String.fromCharCode(r),this.sections.push(su.forImage(e)),this.sectionIndex.push(this.sections.length-1)):w("Reached maximum number of images 6401")}else w("Can't add FormattedSection with an empty image.")},lu.prototype.getNextImageSectionCharCode=function(){return this.imageSectionID?this.imageSectionID>=63743?null:++this.imageSectionID:(this.imageSectionID=57344,this.imageSectionID)};var cu={9:!0,10:!0,11:!0,12:!0,13:!0,32:!0},fu={};function hu(t,e,r,n,i,a){if(e.imageName){var o=n[e.imageName];return o?o.displaySize[0]*e.scale*Ll/a+i:0}var s=r[e.fontStack],l=s&&s[t];return 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Reduce your "text-size".'),t.addSymbols(t.text,g,m,l,o,s,c,e,u.lineStartIndex,u.lineLength,p,v);for(var x=0,b=f;x<b.length;x+=1)h[b[x]]=t.text.placedSymbolArray.length-1;return 4*g.length}function $u(t){for(var e in t)return t[e];return null}function Qu(t,e,r,n){var i=t.compareText;if(e in i){for(var a=i[e],o=a.length-1;o>=0;o--)if(n.dist(a[o])<r)return!0}else i[e]=[];return i[e].push(n),!1}var tc=tl.VectorTileFeature.types,ec=[{name:"a_fade_opacity",components:1,type:"Uint8",offset:0}];function rc(t,e,r,n,i,a,o,s,l,u,c,f,h){var p=s?Math.min(Ju,Math.round(s[0])):0,d=s?Math.min(Ju,Math.round(s[1])):0;t.emplaceBack(e,r,Math.round(32*n),Math.round(32*i),a,o,(p<<1)+(l?1:0),d,16*u,16*c,256*f,256*h)}function nc(t,e,r){t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r)}function ic(t){for(var e=0,r=t.sections;e<r.length;e+=1)if(bi(r[e].text))return!0;return!1}var ac=function(t){this.layoutVertexArray=new la,this.indexArray=new va,this.programConfigurations=t,this.segments=new Ra,this.dynamicLayoutVertexArray=new ua,this.opacityVertexArray=new ca,this.placedSymbolArray=new Ea};ac.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length&&0===this.indexArray.length&&0===this.dynamicLayoutVertexArray.length&&0===this.opacityVertexArray.length},ac.prototype.upload=function(t,e,r,n){this.isEmpty()||(r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,wl.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,Tl.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,ec,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t))},ac.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},ii("SymbolBuffers",ac);var oc=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new Ra,this.collisionVertexArray=new da};oc.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,Al.members,!0)},oc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},ii("CollisionBuffers",oc);var sc=function(t){this.collisionBoxArray=t.collisionBoxArray,this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map(function(t){return t.id}),this.index=t.index,this.pixelRatio=t.pixelRatio,this.sourceLayerIndex=t.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=Bo([]),this.placementViewportMatrix=Bo([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=Tu(this.zoom,e["text-size"]),this.iconSizeData=Tu(this.zoom,e["icon-size"]);var r=this.layers[0].layout,n=r.get("symbol-sort-key"),i=r.get("symbol-z-order");this.sortFeaturesByKey="viewport-y"!==i&&void 0!==n.constantOr(1);var a="viewport-y"===i||"auto"===i&&!this.sortFeaturesByKey;this.sortFeaturesByY=a&&(r.get("text-allow-overlap")||r.get("icon-allow-overlap")||r.get("text-ignore-placement")||r.get("icon-ignore-placement")),"point"===r.get("symbol-placement")&&(this.writingModes=r.get("text-writing-mode").map(function(t){return au[t]})),this.stateDependentLayerIds=this.layers.filter(function(t){return t.isStateDependent()}).map(function(t){return t.id}),this.sourceID=t.sourceID};sc.prototype.createArrays=function(){this.text=new ac(new fo(wl.members,this.layers,this.zoom,function(t){return/^text/.test(t)})),this.icon=new ac(new fo(wl.members,this.layers,this.zoom,function(t){return/^icon/.test(t)})),this.glyphOffsetArray=new Pa,this.lineVertexArray=new Oa,this.symbolInstances=new Ca},sc.prototype.calculateGlyphDependencies=function(t,e,r,n,i){for(var a=0;a<t.length;a++)if(e[t.charCodeAt(a)]=!0,(r||n)&&i){var o=El[t.charAt(a)];o&&(e[o.charCodeAt(0)]=!0)}},sc.prototype.populate=function(t,e,r){var n=this.layers[0],i=n.layout,a=i.get("text-font"),o=i.get("text-field"),s=i.get("icon-image"),l=("constant"!==o.value.kind||o.value.value instanceof ue&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&("constant"!==a.value.kind||a.value.value.length>0),u="constant"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,c=i.get("symbol-sort-key");if(this.features=[],l||u){for(var f=e.iconDependencies,h=e.glyphDependencies,p=e.availableImages,d=new zi(this.zoom),v=0,g=t;v<g.length;v+=1){var y=g[v],m=y.feature,x=y.id,b=y.index,_=y.sourceLayerIndex,w=n._featureFilter.needGeometry,T={type:m.type,id:x,properties:m.properties,geometry:w?mo(m):[]};if(n._featureFilter.filter(d,T,r)){w||(T.geometry=mo(m));var A=void 0;if(l){var k=n.getValueAndResolveTokens("text-field",T,r,p),M=ue.factory(k);ic(M)&&(this.hasRTLText=!0),(!this.hasRTLText||"unavailable"===Pi()||this.hasRTLText&&Ii.isParsed())&&(A=Sl(M,n,T))}var S=void 0;if(u){var E=n.getValueAndResolveTokens("icon-image",T,r,p);S=E instanceof ce?E:ce.fromString(E)}if(A||S){var L=this.sortFeaturesByKey?c.evaluate(T,{},r):void 0,C={id:x,text:A,icon:S,index:b,sourceLayerIndex:_,geometry:mo(m),properties:m.properties,type:tc[m.type],sortKey:L};if(this.features.push(C),S&&(f[S.name]=!0),A){var P=a.evaluate(T,{},r).join(","),O="map"===i.get("text-rotation-alignment")&&"point"!==i.get("symbol-placement");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(au.vertical)>=0;for(var I=0,D=A.sections;I<D.length;I+=1){var z=D[I];if(z.image)f[z.image.name]=!0;else{var R=hi(A.toString()),F=z.fontStack||P,B=h[F]=h[F]||{};this.calculateGlyphDependencies(z.text,B,O,this.allowVerticalPlacement,R)}}}}}}"line"===i.get("symbol-placement")&&(this.features=function(t){var e={},r={},n=[],i=0;function a(e){n.push(t[e]),i++}function o(t,e,i){var a=r[t];return delete r[t],r[e]=a,n[a].geometry[0].pop(),n[a].geometry[0]=n[a].geometry[0].concat(i[0]),a}function s(t,r,i){var a=e[r];return delete e[r],e[t]=a,n[a].geometry[0].shift(),n[a].geometry[0]=i[0].concat(n[a].geometry[0]),a}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+":"+n.x+":"+n.y}for(var u=0;u<t.length;u++){var c=t[u],f=c.geometry,h=c.text?c.text.toString():null;if(h){var p=l(h,f),d=l(h,f,!0);if(p in r&&d in e&&r[p]!==e[d]){var v=s(p,d,f),g=o(p,d,n[v].geometry);delete e[p],delete r[d],r[l(h,n[g].geometry,!0)]=g,n[v].geometry=null}else p in r?o(p,d,f):d in e?s(p,d,f):(a(u),e[p]=i-1,r[d]=i-1)}else a(u)}return n.filter(function(t){return t.geometry})}(this.features)),this.sortFeaturesByKey&&this.features.sort(function(t,e){return t.sortKey-e.sortKey})}},sc.prototype.update=function(t,e,r){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(t,e,this.layers,r),this.icon.programConfigurations.updatePaintArrays(t,e,this.layers,r))},sc.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},sc.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},sc.prototype.upload=function(t){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(t),this.iconCollisionBox.upload(t)),this.text.upload(t,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(t,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},sc.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},sc.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},sc.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),i=t.dist(e[t.segment]),a={},o=t.segment+1;o<e.length;o++)a[o]={x:e[o].x,y:e[o].y,tileUnitDistanceFromAnchor:n},o<e.length-1&&(n+=e[o+1].dist(e[o]));for(var s=t.segment||0;s>=0;s--)a[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:i},s>0&&(i+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var u=a[l];this.lineVertexArray.emplaceBack(u.x,u.y,u.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},sc.prototype.addSymbols=function(t,e,r,n,i,a,o,s,l,u,c,f){for(var h=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,h,a.sortKey),v=this.glyphOffsetArray.length,g=d.vertexLength,y=this.allowVerticalPlacement&&o===au.vertical?Math.PI/2:0,m=a.text&&a.text.sections,x=0;x<e.length;x++){var b=e[x],_=b.tl,w=b.tr,T=b.bl,A=b.br,k=b.tex,M=b.pixelOffsetTL,S=b.pixelOffsetBR,E=b.minFontScaleX,L=b.minFontScaleY,C=b.glyphOffset,P=b.isSDF,O=b.sectionIndex,I=d.vertexLength,D=C[1];rc(p,s.x,s.y,_.x,D+_.y,k.x,k.y,r,P,M.x,M.y,E,L),rc(p,s.x,s.y,w.x,D+w.y,k.x+k.w,k.y,r,P,S.x,M.y,E,L),rc(p,s.x,s.y,T.x,D+T.y,k.x,k.y+k.h,r,P,M.x,S.y,E,L),rc(p,s.x,s.y,A.x,D+A.y,k.x+k.w,k.y+k.h,r,P,S.x,S.y,E,L),nc(t.dynamicLayoutVertexArray,s,y),h.emplaceBack(I,I+1,I+2),h.emplaceBack(I+1,I+2,I+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(C[0]),x!==e.length-1&&O===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,a,a.index,{},f,m&&m[O])}t.placedSymbolArray.emplaceBack(s.x,s.y,v,this.glyphOffsetArray.length-v,g,l,u,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,c)},sc.prototype._addCollisionDebugVertex=function(t,e,r,n,i,a){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,i,Math.round(a.x),Math.round(a.y))},sc.prototype.addCollisionDebugVertices=function(t,e,r,n,i,o,s){var l=i.segments.prepareSegment(4,i.layoutVertexArray,i.indexArray),u=l.vertexLength,c=i.layoutVertexArray,f=i.collisionVertexArray,h=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(c,f,o,h,p,new a(t,e)),this._addCollisionDebugVertex(c,f,o,h,p,new a(r,e)),this._addCollisionDebugVertex(c,f,o,h,p,new a(r,n)),this._addCollisionDebugVertex(c,f,o,h,p,new a(t,n)),l.vertexLength+=4;var d=i.indexArray;d.emplaceBack(u,u+1),d.emplaceBack(u+1,u+2),d.emplaceBack(u+2,u+3),d.emplaceBack(u+3,u),l.primitiveLength+=4},sc.prototype.addDebugCollisionBoxes=function(t,e,r,n){for(var i=t;i<e;i++){var a=this.collisionBoxArray.get(i),o=a.x1,s=a.y1,l=a.x2,u=a.y2;this.addCollisionDebugVertices(o,s,l,u,n?this.textCollisionBox:this.iconCollisionBox,a.anchorPoint,r)}},sc.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new oc(ha,kl.members,_a),this.iconCollisionBox=new oc(ha,kl.members,_a);for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e,!1),this.addDebugCollisionBoxes(e.verticalIconBoxStartIndex,e.verticalIconBoxEndIndex,e,!1)}},sc.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,i,a,o,s,l){for(var u={},c=e;c<r;c++){var f=t.get(c);u.textBox={x1:f.x1,y1:f.y1,x2:f.x2,y2:f.y2,anchorPointX:f.anchorPointX,anchorPointY:f.anchorPointY},u.textFeatureIndex=f.featureIndex;break}for(var h=n;h<i;h++){var p=t.get(h);u.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},u.verticalTextFeatureIndex=p.featureIndex;break}for(var d=a;d<o;d++){var v=t.get(d);u.iconBox={x1:v.x1,y1:v.y1,x2:v.x2,y2:v.y2,anchorPointX:v.anchorPointX,anchorPointY:v.anchorPointY},u.iconFeatureIndex=v.featureIndex;break}for(var g=s;g<l;g++){var y=t.get(g);u.verticalIconBox={x1:y.x1,y1:y.y1,x2:y.x2,y2:y.y2,anchorPointX:y.anchorPointX,anchorPointY:y.anchorPointY},u.verticalIconFeatureIndex=y.featureIndex;break}return u},sc.prototype.deserializeCollisionBoxes=function(t){this.collisionArrays=[];for(var e=0;e<this.symbolInstances.length;e++){var r=this.symbolInstances.get(e);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(t,r.textBoxStartIndex,r.textBoxEndIndex,r.verticalTextBoxStartIndex,r.verticalTextBoxEndIndex,r.iconBoxStartIndex,r.iconBoxEndIndex,r.verticalIconBoxStartIndex,r.verticalIconBoxEndIndex))}},sc.prototype.hasTextData=function(){return this.text.segments.get().length>0},sc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},sc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},sc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},sc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},sc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i<n;i+=4)t.indexArray.emplaceBack(i,i+1,i+2),t.indexArray.emplaceBack(i+1,i+2,i+3)},sc.prototype.getSortedSymbolIndexes=function(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;for(var e=Math.sin(t),r=Math.cos(t),n=[],i=[],a=[],o=0;o<this.symbolInstances.length;++o){a.push(o);var s=this.symbolInstances.get(o);n.push(0|Math.round(e*s.anchorX+r*s.anchorY)),i.push(s.featureIndex)}return a.sort(function(t,e){return n[t]-n[e]||i[e]-i[t]}),a},sc.prototype.addToSortKeyRanges=function(t,e){var r=this.sortKeyRanges[this.sortKeyRanges.length-1];r&&r.sortKey===e?r.symbolInstanceEnd=t+1:this.sortKeyRanges.push({sortKey:e,symbolInstanceStart:t,symbolInstanceEnd:t+1})},sc.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r<n.length;r+=1){var i=n[r],a=this.symbolInstances.get(i);this.featureSortOrder.push(a.featureIndex),[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach(function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)}),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},ii("SymbolBucket",sc,{omit:["layers","collisionBoxArray","features","compareText"]}),sc.MAX_GLYPHS=65535,sc.addDynamicAttributes=nc;var lc=new Xi({"symbol-placement":new qi(Dt.layout_symbol["symbol-placement"]),"symbol-spacing":new qi(Dt.layout_symbol["symbol-spacing"]),"symbol-avoid-edges":new qi(Dt.layout_symbol["symbol-avoid-edges"]),"symbol-sort-key":new Gi(Dt.layout_symbol["symbol-sort-key"]),"symbol-z-order":new qi(Dt.layout_symbol["symbol-z-order"]),"icon-allow-overlap":new qi(Dt.layout_symbol["icon-allow-overlap"]),"icon-ignore-placement":new qi(Dt.layout_symbol["icon-ignore-placement"]),"icon-optional":new qi(Dt.layout_symbol["icon-optional"]),"icon-rotation-alignment":new qi(Dt.layout_symbol["icon-rotation-alignment"]),"icon-size":new Gi(Dt.layout_symbol["icon-size"]),"icon-text-fit":new qi(Dt.layout_symbol["icon-text-fit"]),"icon-text-fit-padding":new qi(Dt.layout_symbol["icon-text-fit-padding"]),"icon-image":new Gi(Dt.layout_symbol["icon-image"]),"icon-rotate":new Gi(Dt.layout_symbol["icon-rotate"]),"icon-padding":new qi(Dt.layout_symbol["icon-padding"]),"icon-keep-upright":new qi(Dt.layout_symbol["icon-keep-upright"]),"icon-offset":new Gi(Dt.layout_symbol["icon-offset"]),"icon-anchor":new Gi(Dt.layout_symbol["icon-anchor"]),"icon-pitch-alignment":new qi(Dt.layout_symbol["icon-pitch-alignment"]),"text-pitch-alignment":new qi(Dt.layout_symbol["text-pitch-alignment"]),"text-rotation-alignment":new qi(Dt.layout_symbol["text-rotation-alignment"]),"text-field":new Gi(Dt.layout_symbol["text-field"]),"text-font":new Gi(Dt.layout_symbol["text-font"]),"text-size":new Gi(Dt.layout_symbol["text-size"]),"text-max-width":new Gi(Dt.layout_symbol["text-max-width"]),"text-line-height":new qi(Dt.layout_symbol["text-line-height"]),"text-letter-spacing":new Gi(Dt.layout_symbol["text-letter-spacing"]),"text-justify":new Gi(Dt.layout_symbol["text-justify"]),"text-radial-offset":new Gi(Dt.layout_symbol["text-radial-offset"]),"text-variable-anchor":new qi(Dt.layout_symbol["text-variable-anchor"]),"text-anchor":new Gi(Dt.layout_symbol["text-anchor"]),"text-max-angle":new qi(Dt.layout_symbol["text-max-angle"]),"text-writing-mode":new qi(Dt.layout_symbol["text-writing-mode"]),"text-rotate":new Gi(Dt.layout_symbol["text-rotate"]),"text-padding":new qi(Dt.layout_symbol["text-padding"]),"text-keep-upright":new qi(Dt.layout_symbol["text-keep-upright"]),"text-transform":new Gi(Dt.layout_symbol["text-transform"]),"text-offset":new Gi(Dt.layout_symbol["text-offset"]),"text-allow-overlap":new qi(Dt.layout_symbol["text-allow-overlap"]),"text-ignore-placement":new qi(Dt.layout_symbol["text-ignore-placement"]),"text-optional":new qi(Dt.layout_symbol["text-optional"])}),uc={paint:new Xi({"icon-opacity":new Gi(Dt.paint_symbol["icon-opacity"]),"icon-color":new Gi(Dt.paint_symbol["icon-color"]),"icon-halo-color":new Gi(Dt.paint_symbol["icon-halo-color"]),"icon-halo-width":new Gi(Dt.paint_symbol["icon-halo-width"]),"icon-halo-blur":new Gi(Dt.paint_symbol["icon-halo-blur"]),"icon-translate":new qi(Dt.paint_symbol["icon-translate"]),"icon-translate-anchor":new qi(Dt.paint_symbol["icon-translate-anchor"]),"text-opacity":new Gi(Dt.paint_symbol["text-opacity"]),"text-color":new Gi(Dt.paint_symbol["text-color"],{runtimeType:Yt,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),"text-halo-color":new Gi(Dt.paint_symbol["text-halo-color"]),"text-halo-width":new Gi(Dt.paint_symbol["text-halo-width"]),"text-halo-blur":new Gi(Dt.paint_symbol["text-halo-blur"]),"text-translate":new qi(Dt.paint_symbol["text-translate"]),"text-translate-anchor":new qi(Dt.paint_symbol["text-translate-anchor"])}),layout:lc},cc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Vt,this.defaultValue=t};cc.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},cc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},cc.prototype.outputDefined=function(){return!1},cc.prototype.serialize=function(){return null},ii("FormatSectionOverride",cc,{omit:["defaultValue"]});var fc=function(t){function e(e){t.call(this,e,uc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),"auto"===this.layout.get("icon-rotation-alignment")&&("point"!==this.layout.get("symbol-placement")?this.layout._values["icon-rotation-alignment"]="map":this.layout._values["icon-rotation-alignment"]="viewport"),"auto"===this.layout.get("text-rotation-alignment")&&("point"!==this.layout.get("symbol-placement")?this.layout._values["text-rotation-alignment"]="map":this.layout._values["text-rotation-alignment"]="viewport"),"auto"===this.layout.get("text-pitch-alignment")&&(this.layout._values["text-pitch-alignment"]=this.layout.get("text-rotation-alignment")),"auto"===this.layout.get("icon-pitch-alignment")&&(this.layout._values["icon-pitch-alignment"]=this.layout.get("icon-rotation-alignment")),"point"===this.layout.get("symbol-placement")){var n=this.layout.get("text-writing-mode");if(n){for(var i=[],a=0,o=n;a<o.length;a+=1){var s=o[a];i.indexOf(s)<0&&i.push(s)}this.layout._values["text-writing-mode"]=i}else this.layout._values["text-writing-mode"]=["horizontal"]}this._setPaintOverrides()},e.prototype.getValueAndResolveTokens=function(t,e,r,n){var i=this.layout.get(t).evaluate(e,{},r,n),a=this._unevaluatedLayout._values[t];return a.isDataDriven()||ln(a.value)||!i?i:function(t,e){return e.replace(/{([^{}]+)}/g,function(e,r){return r in t?String(t[r]):""})}(e.properties,i)},e.prototype.createBucket=function(t){return new sc(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=uc.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var i,a=this.paint.get(n),o=new cc(a),s=new sn(o,a.property.specification);i="constant"===a.value.kind||"source"===a.value.kind?new cn("source",s):new fn("composite",s,a.value.zoomStops,a.value._interpolationType),this.paint._values[n]=new Vi(a.property,i,a.parameters)}}},e.prototype._handleOverridablePaintPropertyUpdate=function(t,r,n){return!(!this.layout||r.isDataDriven()||n.isDataDriven())&&e.hasPaintOverride(this.layout,t)},e.hasPaintOverride=function(t,e){var r=t.get("text-field"),n=uc.paint.properties[e],i=!1,a=function(t){for(var e=0,r=t;e<r.length;e+=1){var a=r[e];if(n.overrides&&n.overrides.hasOverride(a))return void(i=!0)}};if("constant"===r.value.kind&&r.value.value instanceof ue)a(r.value.value.sections);else if("source"===r.value.kind){var o=function(t){if(!i)if(t instanceof ve&&pe(t.value)===Jt){var e=t.value;a(e.sections)}else t instanceof xe?a(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return i},e}(Ki),hc={paint:new Xi({"background-color":new qi(Dt.paint_background["background-color"]),"background-pattern":new Wi(Dt.paint_background["background-pattern"]),"background-opacity":new qi(Dt.paint_background["background-opacity"])})},pc=function(t){function e(e){t.call(this,e,hc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ki),dc={paint:new Xi({"raster-opacity":new qi(Dt.paint_raster["raster-opacity"]),"raster-hue-rotate":new qi(Dt.paint_raster["raster-hue-rotate"]),"raster-brightness-min":new qi(Dt.paint_raster["raster-brightness-min"]),"raster-brightness-max":new qi(Dt.paint_raster["raster-brightness-max"]),"raster-saturation":new qi(Dt.paint_raster["raster-saturation"]),"raster-contrast":new qi(Dt.paint_raster["raster-contrast"]),"raster-resampling":new qi(Dt.paint_raster["raster-resampling"]),"raster-fade-duration":new qi(Dt.paint_raster["raster-fade-duration"])})},vc=function(t){function e(e){t.call(this,e,dc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ki);var gc=function(t){function e(e){t.call(this,e,{}),this.implementation=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.is3D=function(){return"3d"===this.implementation.renderingMode},e.prototype.hasOffscreenPass=function(){return void 0!==this.implementation.prerender},e.prototype.recalculate=function(){},e.prototype.updateTransitions=function(){},e.prototype.hasTransition=function(){},e.prototype.serialize=function(){},e.prototype.onAdd=function(t){this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},e.prototype.onRemove=function(t){this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},e}(Ki),yc={circle:Go,heatmap:es,hillshade:ns,fill:qs,"fill-extrusion":ll,line:bl,symbol:fc,background:pc,raster:vc};var mc=self.HTMLImageElement,xc=self.HTMLCanvasElement,bc=self.HTMLVideoElement,_c=self.ImageData,wc=self.ImageBitmap,Tc=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Tc.prototype.update=function(t,e,r){var n=t.width,i=t.height,a=!(this.size&&this.size[0]===n&&this.size[1]===i||r),o=this.context,s=o.gl;if(this.useMipmap=Boolean(e&&e.useMipmap),s.bindTexture(s.TEXTURE_2D,this.texture),o.pixelStoreUnpackFlipY.set(!1),o.pixelStoreUnpack.set(1),o.pixelStoreUnpackPremultiplyAlpha.set(this.format===s.RGBA&&(!e||!1!==e.premultiply)),a)this.size=[n,i],t instanceof mc||t instanceof xc||t instanceof bc||t instanceof _c||wc&&t instanceof wc?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,i,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},u=l.x,c=l.y;t instanceof mc||t instanceof xc||t instanceof bc||t instanceof _c||wc&&t instanceof wc?s.texSubImage2D(s.TEXTURE_2D,0,u,c,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,u,c,n,i,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Tc.prototype.bind=function(t,e,r){var n=this.context.gl;n.bindTexture(n.TEXTURE_2D,this.texture),r!==n.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(r=n.LINEAR),t!==this.filter&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,t),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,r||t),this.filter=t),e!==this.wrap&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,e),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,e),this.wrap=e)},Tc.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Tc.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var Ac=function(t){var e=this;this._callback=t,this._triggered=!1,"undefined"!=typeof MessageChannel&&(this._channel=new MessageChannel,this._channel.port2.onmessage=function(){e._triggered=!1,e._callback()})};Ac.prototype.trigger=function(){var t=this;this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout(function(){t._triggered=!1,t._callback()},0))},Ac.prototype.remove=function(){delete this._channel,this._callback=function(){}};var kc=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},g(["receive","process"],this),this.invoker=new Ac(this.process),this.target.addEventListener("message",this.receive,!1),this.globalScope=k()?t:self};function Mc(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return[t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}kc.prototype.send=function(t,e,r,n,i){var a=this;void 0===i&&(i=!1);var o=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[o]=r);var s=E(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:i,sourceMapId:this.mapId,data:li(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:"<cancel>",targetMapId:n,sourceMapId:a.mapId})}}},kc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if("<cancel>"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else k()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},kc.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},kc.prototype.processTask=function(t,e){var r=this;if("<response>"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(ui(e.error)):n(null,ui(e.data)))}else{var i=!1,a=E(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:"<response>",sourceMapId:r.mapId,error:e?li(e):null,data:li(n,a)},a)}:function(t){i=!0},s=null,l=ui(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var u=e.type.split(".");s=this.parent.getWorkerSource(e.sourceMapId,u[0],l.source)[u[1]](l,o)}else o(new Error("Could not find function "+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},kc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener("message",this.receive,!1)};var Sc=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Sc.prototype.setNorthEast=function(t){return this._ne=t instanceof Lc?new Lc(t.lng,t.lat):Lc.convert(t),this},Sc.prototype.setSouthWest=function(t){return this._sw=t instanceof Lc?new Lc(t.lng,t.lat):Lc.convert(t),this},Sc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Lc)e=t,r=t;else{if(!(t instanceof Sc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Sc.convert(a))}var o=t;return this.extend(Lc.convert(o))}return this}if(e=t._sw,r=t._ne,!e||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new Lc(e.lng,e.lat),this._ne=new Lc(r.lng,r.lat)),this},Sc.prototype.getCenter=function(){return new Lc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Sc.prototype.getSouthWest=function(){return this._sw},Sc.prototype.getNorthEast=function(){return this._ne},Sc.prototype.getNorthWest=function(){return new Lc(this.getWest(),this.getNorth())},Sc.prototype.getSouthEast=function(){return new Lc(this.getEast(),this.getSouth())},Sc.prototype.getWest=function(){return this._sw.lng},Sc.prototype.getSouth=function(){return this._sw.lat},Sc.prototype.getEast=function(){return this._ne.lng},Sc.prototype.getNorth=function(){return this._ne.lat},Sc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Sc.prototype.toString=function(){return"LngLatBounds("+this._sw.toString()+", "+this._ne.toString()+")"},Sc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Sc.prototype.contains=function(t){var e=Lc.convert(t),r=e.lng,n=e.lat,i=this._sw.lat<=n&&n<=this._ne.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a},Sc.convert=function(t){return!t||t instanceof Sc?t:new Sc(t)};var Ec=6371008.8,Lc=function(t,e){if(isNaN(t)||isNaN(e))throw new Error("Invalid LngLat object: ("+t+", "+e+")");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error("Invalid LngLat latitude value: must be between -90 and 90")};Lc.prototype.wrap=function(){return new Lc(c(this.lng,-180,180),this.lat)},Lc.prototype.toArray=function(){return[this.lng,this.lat]},Lc.prototype.toString=function(){return"LngLat("+this.lng+", "+this.lat+")"},Lc.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return Ec*Math.acos(Math.min(i,1))},Lc.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Sc(new Lc(this.lng-r,this.lat-e),new Lc(this.lng+r,this.lat+e))},Lc.convert=function(t){if(t instanceof Lc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Lc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&"object"==typeof t&&null!==t)return new Lc(Number("lng"in t?t.lng:t.lon),Number(t.lat));throw new Error("`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]")};var Cc=2*Math.PI*Ec;function Pc(t){return Cc*Math.cos(t*Math.PI/180)}function Oc(t){return(180+t)/360}function Ic(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Dc(t,e){return t/Pc(e)}function zc(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var Rc=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};Rc.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Lc.convert(t);return new Rc(Oc(r.lng),Ic(r.lat),Dc(e,r.lat))},Rc.prototype.toLngLat=function(){return new Lc(360*this.x-180,zc(this.y))},Rc.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Pc(zc(e));var t,e},Rc.prototype.meterInMercatorCoordinateUnits=function(){return 1/Cc*(t=zc(this.y),1/Math.cos(t*Math.PI/180));var t};var Fc=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=jc(0,t,t,e,r)};Fc.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},Fc.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Mc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Mc(256*(r+1),256*(n+1),i),a[0]+","+a[1]+","+o[0]+","+o[1]),l=function(t,e,r){for(var n,i="",a=t;a>0;a--)i+=(e&(n=1<<a-1)?1:0)+(r&n?2:0);return i}(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace("{prefix}",(this.x%16).toString(16)+(this.y%16).toString(16)).replace("{z}",String(this.z)).replace("{x}",String(this.x)).replace("{y}",String("tms"===e?Math.pow(2,this.z)-this.y-1:this.y)).replace("{quadkey}",l).replace("{bbox-epsg-3857}",s)},Fc.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new a((t.x*e-this.x)*vo,(t.y*e-this.y)*vo)},Fc.prototype.toString=function(){return this.z+"/"+this.x+"/"+this.y};var Bc=function(t,e){this.wrap=t,this.canonical=e,this.key=jc(t,e.z,e.z,e.x,e.y)},Nc=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new Fc(r,+n,+i),this.key=jc(e,t,r,n,i)};function jc(t,e,r,n,i){(t*=2)<0&&(t=-1*t-1);var a=1<<r;return(a*a*t+a*i+n).toString(36)+r.toString(36)+e.toString(36)}Nc.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},Nc.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new Nc(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Nc(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Nc.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?jc(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):jc(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},Nc.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ<this.overscaledZ&&t.canonical.x===this.canonical.x>>e&&t.canonical.y===this.canonical.y>>e},Nc.prototype.children=function(t){if(this.overscaledZ>=t)return[new Nc(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new Nc(e,this.wrap,e,r,n),new Nc(e,this.wrap,e,r+1,n),new Nc(e,this.wrap,e,r,n+1),new Nc(e,this.wrap,e,r+1,n+1)]},Nc.prototype.isLessThan=function(t){return this.wrap<t.wrap||!(this.wrap>t.wrap)&&(this.overscaledZ<t.overscaledZ||!(this.overscaledZ>t.overscaledZ)&&(this.canonical.x<t.canonical.x||!(this.canonical.x>t.canonical.x)&&this.canonical.y<t.canonical.y))},Nc.prototype.wrapped=function(){return new Nc(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},Nc.prototype.unwrapTo=function(t){return new Nc(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},Nc.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},Nc.prototype.toUnwrapped=function(){return new Bc(this.wrap,this.canonical)},Nc.prototype.toString=function(){return this.overscaledZ+"/"+this.canonical.x+"/"+this.canonical.y},Nc.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new Rc(t.x-this.wrap,t.y))},ii("CanonicalTileID",Fc),ii("OverscaledTileID",Nc,{omit:["posMatrix"]});var Uc=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError("DEM tiles must be square");if(r&&"mapbox"!==r&&"terrarium"!==r)return w('"'+r+'" is not a valid encoding type. Valid types include "mapbox" and "terrarium".');this.stride=e.height;var n=this.dim=e.height-2;this.data=new Uint32Array(e.data.buffer),this.encoding=r||"mapbox";for(var i=0;i<n;i++)this.data[this._idx(-1,i)]=this.data[this._idx(0,i)],this.data[this._idx(n,i)]=this.data[this._idx(n-1,i)],this.data[this._idx(i,-1)]=this.data[this._idx(i,0)],this.data[this._idx(i,n)]=this.data[this._idx(i,n-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(n,-1)]=this.data[this._idx(n-1,0)],this.data[this._idx(-1,n)]=this.data[this._idx(0,n-1)],this.data[this._idx(n,n)]=this.data[this._idx(n-1,n-1)]};Uc.prototype.get=function(t,e){var r=new Uint8Array(this.data.buffer),n=4*this._idx(t,e);return("terrarium"===this.encoding?this._unpackTerrarium:this._unpackMapbox)(r[n],r[n+1],r[n+2])},Uc.prototype.getUnpackVector=function(){return"terrarium"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},Uc.prototype._idx=function(t,e){if(t<-1||t>=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError("out of range source coordinates for DEM data");return(e+1)*this.stride+(t+1)},Uc.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Uc.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Uc.prototype.getPixels=function(){return new $o({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Uc.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error("dem dimension mismatch");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,u=a;u<o;u++)for(var c=n;c<i;c++)this.data[this._idx(c,u)]=t.data[this._idx(c+s,u+l)]},ii("DEMData",Uc);var Vc=function(t){this._stringToNumber={},this._numberToString=[];for(var e=0;e<t.length;e++){var r=t[e];this._stringToNumber[r]=e,this._numberToString[e]=r}};Vc.prototype.encode=function(t){return this._stringToNumber[t]},Vc.prototype.decode=function(t){return this._numberToString[t]};var Hc=function(t,e,r,n,i){this.type="Feature",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,this.id=i},qc={geometry:{configurable:!0}};qc.geometry.get=function(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},qc.geometry.set=function(t){this._geometry=t},Hc.prototype.toJSON=function(){var t={geometry:this.geometry};for(var e in this)"_geometry"!==e&&"_vectorTileFeature"!==e&&(t[e]=this[e]);return t},Object.defineProperties(Hc.prototype,qc);var Gc=function(){this.state={},this.stateChanges={},this.deletedStates={}};Gc.prototype.updateState=function(t,e,r){var n=String(e);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][n]=this.stateChanges[t][n]||{},f(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var i in this.deletedStates[t]={},this.state[t])i!==n&&(this.deletedStates[t][i]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var a in this.deletedStates[t][n]={},this.state[t][n])r[a]||(this.deletedStates[t][n][a]=null);else for(var o in r)this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]},Gc.prototype.removeFeatureState=function(t,e,r){if(null!==this.deletedStates[t]){var n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e)if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null;else this.deletedStates[t]=null}},Gc.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},i=this.stateChanges[t]||{},a=f({},n[r],i[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var o=this.deletedStates[t][e];if(null===o)return{};for(var s in o)delete a[s]}return a},Gc.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},Gc.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var i={};for(var a in this.stateChanges[n])this.state[n][a]||(this.state[n][a]={}),f(this.state[n][a],this.stateChanges[n][a]),i[a]=this.state[n][a];r[n]=i}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var u in this.deletedStates[o]){if(null===this.deletedStates[o][u])this.state[o][u]={};else for(var c=0,h=Object.keys(this.deletedStates[o][u]);c<h.length;c+=1){var p=h[c];delete this.state[o][u][p]}s[u]=this.state[o][u]}r[o]=r[o]||{},f(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t)t[d].setFeatureState(r,e)};var Yc=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new $n(vo,16,0),this.grid3D=new $n(vo,16,0),this.featureIndexArray=new Da,this.promoteId=e};function Wc(t,e,r,n,i){return m(t,function(t,a){var o=e instanceof Hi?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o})}function Zc(t){for(var e=1/0,r=1/0,n=-1/0,i=-1/0,a=0,o=t;a<o.length;a+=1){var s=o[a];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),i=Math.max(i,s.y)}return{minX:e,minY:r,maxX:n,maxY:i}}function Xc(t,e){return e-t}Yc.prototype.insert=function(t,e,r,n,i,a){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,i);for(var s=a?this.grid3D:this.grid,l=0;l<e.length;l++){for(var u=e[l],c=[1/0,1/0,-1/0,-1/0],f=0;f<u.length;f++){var h=u[f];c[0]=Math.min(c[0],h.x),c[1]=Math.min(c[1],h.y),c[2]=Math.max(c[2],h.x),c[3]=Math.max(c[3],h.y)}c[0]<vo&&c[1]<vo&&c[2]>=0&&c[3]>=0&&s.insert(o,c[0],c[1],c[2],c[3])}},Yc.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new tl.VectorTile(new Ol(this.rawTileData)).layers,this.sourceLayerCoder=new Vc(this.vtLayers?Object.keys(this.vtLayers).sort():["_geojsonTileLayer"])),this.vtLayers},Yc.prototype.query=function(t,e,r,n){var i=this;this.loadVTLayers();for(var o=t.params||{},s=vo/t.tileSize/t.scale,l=Tn(o.filter),u=t.queryGeometry,c=t.queryPadding*s,f=Zc(u),h=this.grid.query(f.minX-c,f.minY-c,f.maxX+c,f.maxY+c),p=Zc(t.cameraQueryGeometry),d=0,v=this.grid3D.query(p.minX-c,p.minY-c,p.maxX+c,p.maxY+c,function(e,r,n,i){return function(t,e,r,n,i){for(var o=0,s=t;o<s.length;o+=1){var l=s[o];if(e<=l.x&&r<=l.y&&n>=l.x&&i>=l.y)return!0}var u=[new a(e,r),new a(e,i),new a(n,i),new a(n,r)];if(t.length>2)for(var c=0,f=u;c<f.length;c+=1)if(Co(t,f[c]))return!0;for(var h=0;h<t.length-1;h++)if(Po(t[h],t[h+1],u))return!0;return!1}(t.cameraQueryGeometry,e-c,r-c,n+c,i+c)});d<v.length;d+=1){var g=v[d];h.push(g)}h.sort(Xc);for(var y,m={},x=function(a){var c=h[a];if(c!==y){y=c;var f=i.featureIndexArray.get(c),p=null;i.loadMatchingFeature(m,f.bucketIndex,f.sourceLayerIndex,f.featureIndex,l,o.layers,o.availableImages,e,r,n,function(e,r,n){return p||(p=mo(e)),r.queryIntersectsFeature(u,e,n,p,i.z,t.transform,s,t.pixelPosMatrix)})}},b=0;b<h.length;b++)x(b);return m},Yc.prototype.loadMatchingFeature=function(t,e,r,n,i,a,o,s,l,u,c){var f=this.bucketLayerIDs[e];if(!a||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),p=this.vtLayers[h].feature(n);if(i.filter(new zi(this.tileID.overscaledZ),p))for(var d=this.getId(p,h),v=0;v<f.length;v++){var g=f[v];if(!(a&&a.indexOf(g)<0)){var y=s[g];if(y){var m={};void 0!==d&&u&&(m=u.getState(y.sourceLayer||"_geojsonTileLayer",d));var x=l[g];x.paint=Wc(x.paint,y.paint,p,m,o),x.layout=Wc(x.layout,y.layout,p,m,o);var b=!c||c(p,y,m);if(b){var _=new Hc(p,this.z,this.x,this.y,d);_.layer=x;var w=t[g];void 0===w&&(w=t[g]=[]),w.push({featureIndex:n,feature:_,intersectionZ:b})}}}}}},Yc.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a,o,s){var l={};this.loadVTLayers();for(var u=Tn(i),c=0,f=t;c<f.length;c+=1){var h=f[c];this.loadMatchingFeature(l,r,n,h,u,a,o,s,e)}return l},Yc.prototype.hasLayer=function(t){for(var e=0,r=this.bucketLayerIDs;e<r.length;e+=1)for(var n=0,i=r[e];n<i.length;n+=1)if(t===i[n])return!0;return!1},Yc.prototype.getId=function(t,e){var r=t.id;if(this.promoteId){var n="string"==typeof this.promoteId?this.promoteId:this.promoteId[e];"boolean"==typeof(r=t.properties[n])&&(r=Number(r))}return r},ii("FeatureIndex",Yc,{omit:["rawTileData","sourceLayerCoder"]});var Jc=function(t,e){this.tileID=t,this.uid=p(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state="loading"};Jc.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<F.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},Jc.prototype.wasRequested=function(){return"errored"===this.state||"loaded"===this.state||"reloading"===this.state},Jc.prototype.loadVectorData=function(t,e,r){if(this.hasData()&&this.unloadVectorData(),this.state="loaded",t){for(var n in t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){var r={};if(!e)return r;for(var n=function(){var t=a[i],n=t.layerIds.map(function(t){return e.getLayer(t)}).filter(Boolean);if(0!==n.length){t.layers=n,t.stateDependentLayerIds&&(t.stateDependentLayers=t.stateDependentLayerIds.map(function(t){return n.filter(function(e){return e.id===t})[0]}));for(var o=0,s=n;o<s.length;o+=1){var l=s[o];r[l.id]=t}}},i=0,a=t;i<a.length;i+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var i=this.buckets[n];if(i instanceof sc){if(this.hasSymbolBuckets=!0,!r)break;i.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(var a in this.buckets){var o=this.buckets[a];if(o instanceof sc&&o.hasRTLText){this.hasRTLText=!0,Di();break}}for(var s in this.queryPadding=0,this.buckets){var l=this.buckets[s];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(s).queryRadius(l))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new Ma},Jc.prototype.unloadVectorData=function(){for(var t in this.buckets)this.buckets[t].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state="unloaded"},Jc.prototype.getBucket=function(t){return this.buckets[t.id]},Jc.prototype.upload=function(t){for(var e in this.buckets){var r=this.buckets[e];r.uploadPending()&&r.upload(t)}var n=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new Tc(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Tc(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},Jc.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},Jc.prototype.queryRenderedFeatures=function(t,e,r,n,i,a,o,s,l,u){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:u,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},Jc.prototype.querySourceFeatures=function(t,e){var r=this.latestFeatureIndex;if(r&&r.rawTileData){var n=r.loadVTLayers(),i=e?e.sourceLayer:"",a=n._geojsonTileLayer||n[i];if(a)for(var o=Tn(e&&e.filter),s=this.tileID.canonical,l=s.z,u=s.x,c=s.y,f={z:l,x:u,y:c},h=0;h<a.length;h++){var p=a.feature(h);if(o.filter(new zi(this.tileID.overscaledZ),p)){var d=r.getId(p,i),v=new Hc(p,l,u,c,d);v.tile=f,t.push(v)}}}},Jc.prototype.hasData=function(){return"loaded"===this.state||"reloading"===this.state||"expired"===this.state},Jc.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},Jc.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=M(t.cacheControl);r["max-age"]&&(this.expirationTime=Date.now()+1e3*r["max-age"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),i=!1;if(this.expirationTime>n)i=!1;else if(e)if(this.expirationTime<e)i=!0;else{var a=this.expirationTime-e;a?this.expirationTime=n+Math.max(a,3e4):i=!0}else i=!0;i?(this.expiredRequestCount++,this.state="expired"):this.expiredRequestCount=0}},Jc.prototype.getExpiryTimeout=function(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-(new Date).getTime(),Math.pow(2,31)-1)},Jc.prototype.setFeatureState=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData&&0!==Object.keys(t).length){var r=this.latestFeatureIndex.loadVTLayers();for(var n in this.buckets)if(e.style.hasLayer(n)){var i=this.buckets[n],a=i.layers[0].sourceLayer||"_geojsonTileLayer",o=r[a],s=t[a];if(o&&s&&0!==Object.keys(s).length){i.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});var l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(i)))}}}},Jc.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},Jc.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<F.now()},Jc.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},Jc.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=F.now()+t},Jc.prototype.setDependencies=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1)r[i[n]]=!0;this.dependencies[t]=r},Jc.prototype.hasDependency=function(t,e){for(var r=0,n=t;r<n.length;r+=1){var i=n[r],a=this.dependencies[i];if(a)for(var o=0,s=e;o<s.length;o+=1)if(a[s[o]])return!0}return!1};var Kc=self.performance,$c=function(t){this._marks={start:[t.url,"start"].join("#"),end:[t.url,"end"].join("#"),measure:t.url.toString()},Kc.mark(this._marks.start)};$c.prototype.finish=function(){Kc.mark(this._marks.end);var t=Kc.getEntriesByName(this._marks.measure);return 0===t.length&&(Kc.measure(this._marks.measure,this._marks.start,this._marks.end),t=Kc.getEntriesByName(this._marks.measure),Kc.clearMarks(this._marks.start),Kc.clearMarks(this._marks.end),Kc.clearMeasures(this._marks.measure)),t},t.Actor=kc,t.AlphaImage=Ko,t.CanonicalTileID=Fc,t.CollisionBoxArray=Ma,t.Color=oe,t.DEMData=Uc,t.DataConstantProperty=qi,t.DictionaryCoder=Vc,t.EXTENT=vo,t.ErrorEvent=Ot,t.EvaluationParameters=zi,t.Event=Pt,t.Evented=It,t.FeatureIndex=Yc,t.FillBucket=Us,t.FillExtrusionBucket=il,t.ImageAtlas=iu,t.ImagePosition=ru,t.LineBucket=vl,t.LngLat=Lc,t.LngLatBounds=Sc,t.MercatorCoordinate=Rc,t.ONE_EM=Ll,t.OverscaledTileID=Nc,t.Point=a,t.Point$1=a,t.Properties=Xi,t.Protobuf=Ol,t.RGBAImage=$o,t.RequestManager=q,t.RequestPerformance=$c,t.ResourceType=mt,t.SegmentVector=Ra,t.SourceFeatureState=Gc,t.StructArrayLayout1ui2=wa,t.StructArrayLayout2f1f2i16=pa,t.StructArrayLayout2i4=na,t.StructArrayLayout3ui6=va,t.StructArrayLayout4i8=ia,t.SymbolBucket=sc,t.Texture=Tc,t.Tile=Jc,t.Transitionable=Bi,t.Uniform1f=Ka,t.Uniform1i=Ja,t.Uniform2f=$a,t.Uniform3f=Qa,t.Uniform4f=to,t.UniformColor=eo,t.UniformMatrix4f=no,t.UnwrappedTileID=Bc,t.ValidationError=zt,t.WritingMode=au,t.ZoomHistory=ci,t.add=function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t},t.addDynamicAttributes=nc,t.asyncAll=function(t,e,r){if(!t.length)return r(null,[]);var n=t.length,i=new Array(t.length),a=null;t.forEach(function(t,o){e(t,function(t,e){t&&(a=t),i[o]=e,0===--n&&r(a,i)})})},t.bezier=s,t.bindAll=g,t.browser=F,t.cacheEntryPossiblyAdded=function(t){++gt>ct&&(t.getActor().send("enforceCacheSizeLimit",ut),gt=0)},t.clamp=u,t.clearTileCache=function(t){var e=self.caches.delete(lt);t&&e.catch(t).then(function(){return t()})},t.clipLine=Du,t.clone=function(t){var e=new Fo(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e},t.clone$1=b,t.clone$2=function(t){var e=new Fo(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=Ml,t.config=B,t.create=function(){var t=new Fo(16);return Fo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0),t[0]=1,t[5]=1,t[10]=1,t[15]=1,t},t.create$1=function(){var t=new Fo(9);return Fo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[5]=0,t[6]=0,t[7]=0),t[0]=1,t[4]=1,t[8]=1,t},t.create$2=function(){var t=new Fo(4);return Fo!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t},t.createCommonjsModule=e,t.createExpression=un,t.createLayout=ea,t.createStyleLayer=function(t){return"custom"===t.type?new gc(t):new yc[t.type](t)},t.cross=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=r[0],s=r[1],l=r[2];return t[0]=i*l-a*s,t[1]=a*o-n*l,t[2]=n*s-i*o,t},t.deepEqual=function t(e,r){if(Array.isArray(e)){if(!Array.isArray(r)||e.length!==r.length)return!1;for(var n=0;n<e.length;n++)if(!t(e[n],r[n]))return!1;return!0}if("object"==typeof e&&null!==e&&null!==r){if("object"!=typeof r)return!1;if(Object.keys(e).length!==Object.keys(r).length)return!1;for(var i in e)if(!t(e[i],r[i]))return!1;return!0}return 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n=this._geoJSONIndex.getTile(r.z,r.x,r.y);if(!n)return e(null,null);var i=new g(n.features),a=_(i);0===a.byteOffset&&a.byteLength===a.buffer.byteLength||(a=new Uint8Array(a)),e(null,{vectorTile:i,rawData:a.buffer})}V.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,i=e.maxZoom,a=e.nodeSize;r&&console.time("total time");var o="prepare "+t.length+" points";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(q(t[l],l));this.trees[i+1]=new j(s,J,K,a,Float32Array),r&&console.timeEnd(o);for(var u=i;u>=n;u--){var c=+Date.now();s=this._cluster(s,u),this.trees[u]=new j(s,J,K,a,Float32Array),r&&console.log("z%d: %d clusters in %dms",u,s.length,+Date.now()-c)}return r&&console.timeEnd("total time"),this},V.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],u=[],c=0,f=l.range(W(r),Z(a),W(i),Z(n));c<f.length;c+=1){var h=f[c],p=l.points[h];u.push(p.numPoints?G(p):this.points[p.index])}return u},V.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),n="No cluster with the specified id.",i=this.trees[r];if(!i)throw new Error(n);var a=i.points[e];if(!a)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,u=i.within(a.x,a.y,o);l<u.length;l+=1){var c=u[l],f=i.points[c];f.parentId===t&&s.push(f.numPoints?G(f):this.points[f.index])}if(0===s.length)throw new Error(n);return s},V.prototype.getLeaves=function(t,e,r){e=e||10,r=r||0;var n=[];return this._appendLeaves(n,t,e,r,0),n},V.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),a=this.options,o=a.extent,s=a.radius/o,l=(r-s)/i,u=(r+1+s)/i,c={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,u),n.points,e,r,i,c),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,u),n.points,i,r,i,c),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,u),n.points,-1,r,i,c),c.features.length?c:null},V.prototype.getClusterExpansionZoom=function(t){for(var e=this._getOriginZoom(t)-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},V.prototype._appendLeaves=function(t,e,r,n,i){for(var a=0,o=this.getChildren(e);a<o.length;a+=1){var s=o[a],l=s.properties;if(l&&l.cluster?i+l.point_count<=n?i+=l.point_count:i=this._appendLeaves(t,l.cluster_id,r,n,i):i<n?i++:t.push(s),t.length===r)break}return i},V.prototype._addTileFeatures=function(t,e,r,n,i,a){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],u=l.numPoints,c={type:1,geometry:[[Math.round(this.options.extent*(l.x*i-r)),Math.round(this.options.extent*(l.y*i-n))]],tags:u?Y(l):this.points[l.index].properties},f=void 0;u?f=l.id:this.options.generateId?f=l.index:this.points[l.index].id&&(f=this.points[l.index].id),void 0!==f&&(c.id=f),a.features.push(c)}},V.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(t,this.options.maxZoom+1))},V.prototype._cluster=function(t,e){for(var r=[],n=this.options,i=n.radius,a=n.extent,o=n.reduce,s=i/(a*Math.pow(2,e)),l=0;l<t.length;l++){var u=t[l];if(!(u.zoom<=e)){u.zoom=e;for(var c=this.trees[e+1],f=c.within(u.x,u.y,s),h=u.numPoints||1,p=u.x*h,d=u.y*h,v=o&&h>1?this._map(u,!0):null,g=(l<<5)+(e+1)+this.points.length,y=0,m=f;y<m.length;y+=1){var x=m[y],b=c.points[x];if(!(b.zoom<=e)){b.zoom=e;var _=b.numPoints||1;p+=b.x*_,d+=b.y*_,h+=_,b.parentId=g,o&&(v||(v=this._map(u,!0)),o(v,this._map(b)))}}1===h?r.push(u):(u.parentId=g,r.push(H(p/h,d/h,g,h,v)))}}return r},V.prototype._getOriginId=function(t){return t-this.points.length>>5},V.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},V.prototype._map=function(t,e){if(t.numPoints)return e?X({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?X({},n):n},Tt.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},Tt.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,u=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var c=1<<e,f=At(e,r,n),h=this.tiles[f];if(!h&&(u>1&&console.time("creation"),h=this.tiles[f]=bt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),u)){u>1&&(console.log("tile z%d-%d-%d (features: %d, points: %d, simplified: %d)",e,r,n,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd("creation"));var p="z"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<<i-e;if(r!==Math.floor(a/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||h.numPoints<=l.indexMaxPoints)continue;if(h.source=null,0!==t.length){u>1&&console.time("clipping");var v,g,y,m,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,A=1+_;v=g=y=m=null,x=lt(t,c,r-_,r+T,0,h.minX,h.maxX,l),b=lt(t,c,r+w,r+A,0,h.minX,h.maxX,l),t=null,x&&(v=lt(x,c,n-_,n+T,1,h.minY,h.maxY,l),g=lt(x,c,n+w,n+A,1,h.minY,h.maxY,l),x=null),b&&(y=lt(b,c,n-_,n+T,1,h.minY,h.maxY,l),m=lt(b,c,n+w,n+A,1,h.minY,h.maxY,l),b=null),u>1&&console.timeEnd("clipping"),s.push(v||[],e+1,2*r,2*n),s.push(g||[],e+1,2*r,2*n+1),s.push(y||[],e+1,2*r+1,2*n),s.push(m||[],e+1,2*r+1,2*n+1)}}},Tt.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<<t,s=At(t,e=(e%o+o)%o,r);if(this.tiles[s])return mt(this.tiles[s],i);a>1&&console.log("drilling down to z%d-%d-%d",t,e,r);for(var l,u=t,c=e,f=r;!l&&u>0;)u--,c=Math.floor(c/2),f=Math.floor(f/2),l=this.tiles[At(u,c,f)];return l&&l.source?(a>1&&console.log("found parent tile z%d-%d-%d",u,c,f),a>1&&console.time("drilling down"),this.splitTile(l.source,u,c,f,t,e,r),a>1&&console.timeEnd("drilling down"),this.tiles[s]?mt(this.tiles[s],i):null):null};var Mt=function(e){function r(t,r,n,i){e.call(this,t,r,n,kt),i&&(this.loadGeoJSON=i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&"Idle"!==this._state?this._state="NeedsLoadData":(this._state="Coalescing",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,function(a,o){if(a||!o)return r(a);if("object"!=typeof o)return r(new Error("Input data given to '"+n.source+"' is not a valid GeoJSON object."));f(o,!0);try{e._geoJSONIndex=n.cluster?new V(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),u=0,c=l;u<c.length;u+=1){var f=c[u],h=n[f],p=h[0],d=h[1],v=t.createExpression(d),g=t.createExpression("string"==typeof p?[p,["accumulated"],["get",f]]:p);i[f]=v.value,a[f]=g.value}return r.map=function(t){s.properties=t;for(var e={},r=0,n=l;r<n.length;r+=1){var a=n[r];e[a]=i[a].evaluate(o,s)}return e},r.reduce=function(t,e){s.properties=e;for(var r=0,n=l;r<n.length;r+=1){var i=n[r];o.accumulated=t[i],t[i]=a[i].evaluate(o,s)}},r}(n)).load(o.features):function(t,e){return new Tt(t,e)}(o,n.geojsonVtOptions)}catch(a){return r(a)}e.loaded={};var s={};if(i){var l=i.finish();l&&(s.resourceTiming={},s.resourceTiming[n.source]=JSON.parse(JSON.stringify(l)))}r(null,s)})}},r.prototype.coalesce=function(){"Coalescing"===this._state?this._state="Idle":"NeedsLoadData"===this._state&&(this._state="Coalescing",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded,i=t.uid;return n&&n[i]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if("string"!=typeof e.data)return r(new Error("Input data given to '"+e.source+"' is not a valid GeoJSON object."));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error("Input data given to '"+e.source+"' is not a valid GeoJSON object."))}}},r.prototype.removeSource=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),e()},r.prototype.getClusterExpansionZoom=function(t,e){try{e(null,this._geoJSONIndex.getClusterExpansionZoom(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterChildren=function(t,e){try{e(null,this._geoJSONIndex.getChildren(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterLeaves=function(t,e){try{e(null,this._geoJSONIndex.getLeaves(t.clusterId,t.limit,t.offset))}catch(t){e(t)}},r}(l);var St=function(e){var r=this;this.self=e,this.actor=new t.Actor(e,this),this.layerIndexes={},this.availableImages={},this.workerSourceTypes={vector:l,geojson:Mt},this.workerSources={},this.demWorkerSources={},this.self.registerWorkerSource=function(t,e){if(r.workerSourceTypes[t])throw new Error('Worker source with name "'+t+'" already registered.');r.workerSourceTypes[t]=e},this.self.registerRTLTextPlugin=function(e){if(t.plugin.isParsed())throw new Error("RTL text plugin already registered.");t.plugin.applyArabicShaping=e.applyArabicShaping,t.plugin.processBidirectionalText=e.processBidirectionalText,t.plugin.processStyledBidirectionalText=e.processStyledBidirectionalText}};return St.prototype.setReferrer=function(t,e){this.referrer=e},St.prototype.setImages=function(t,e,r){for(var n in this.availableImages[t]=e,this.workerSources[t]){var i=this.workerSources[t][n];for(var a in 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Object support":"insufficient Function support":"insufficent Array support":"not a browser";var r}t.exports?t.exports=e:window&&(window.mapboxgl=window.mapboxgl||{},window.mapboxgl.supported=e,window.mapboxgl.notSupportedReason=r);var n={};e.webGLContextAttributes={antialias:!1,alpha:!0,stencil:!0,depth:!0}}),r={create:function(e,r,n){var i=t.window.document.createElement(e);return void 0!==r&&(i.className=r),n&&n.appendChild(i),i},createNS:function(e,r){return t.window.document.createElementNS(e,r)}},n=t.window.document.documentElement.style;function i(t){if(!n)return t[0];for(var e=0;e<t.length;e++)if(t[e]in n)return t[e];return t[0]}var a,o=i(["userSelect","MozUserSelect","WebkitUserSelect","msUserSelect"]);r.disableDrag=function(){n&&o&&(a=n[o],n[o]="none")},r.enableDrag=function(){n&&o&&(n[o]=a)};var s=i(["transform","WebkitTransform"]);r.setTransform=function(t,e){t.style[s]=e};var l=!1;try{var u=Object.defineProperty({},"passive",{get:function(){l=!0}});t.window.addEventListener("test",u,u),t.window.removeEventListener("test",u,u)}catch(t){l=!1}r.addEventListener=function(t,e,r,n){void 0===n&&(n={}),"passive"in n&&l?t.addEventListener(e,r,n):t.addEventListener(e,r,n.capture)},r.removeEventListener=function(t,e,r,n){void 0===n&&(n={}),"passive"in n&&l?t.removeEventListener(e,r,n):t.removeEventListener(e,r,n.capture)};var c=function(e){e.preventDefault(),e.stopPropagation(),t.window.removeEventListener("click",c,!0)};function f(t){var e=t.userImage;return!!(e&&e.render&&e.render())&&(t.data.replace(new Uint8Array(e.data.buffer)),!0)}r.suppressClick=function(){t.window.addEventListener("click",c,!0),t.window.setTimeout(function(){t.window.removeEventListener("click",c,!0)},0)},r.mousePos=function(e,r){var n=e.getBoundingClientRect();return new t.Point(r.clientX-n.left-e.clientLeft,r.clientY-n.top-e.clientTop)},r.touchPos=function(e,r){for(var 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r=this.images[t];e.version=r.version+1,this.images[t]=e,this.updatedImages[t]=!0},r.prototype.removeImage=function(t){var e=this.images[t];delete this.images[t],delete this.patterns[t],e.userImage&&e.userImage.onRemove&&e.userImage.onRemove()},r.prototype.listImages=function(){return Object.keys(this.images)},r.prototype.getImages=function(t,e){var r=!0;if(!this.isLoaded())for(var n=0,i=t;n<i.length;n+=1){var a=i[n];this.images[a]||(r=!1)}this.isLoaded()||r?this._notify(t,e):this.requestors.push({ids:t,callback:e})},r.prototype._notify=function(e,r){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i];this.images[o]||this.fire(new t.Event("styleimagemissing",{id:o}));var s=this.images[o];s?n[o]={data:s.data.clone(),pixelRatio:s.pixelRatio,sdf:s.sdf,version:s.version,stretchX:s.stretchX,stretchY:s.stretchY,content:s.content,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image "'+o+'" could not be loaded. Please make sure you have added the image with map.addImage() or a "sprite" property in your style. You can provide missing images by listening for the "styleimagemissing" map event.')}r(null,n)},r.prototype.getPixelSize=function(){var t=this.atlasImage;return{width:t.width,height:t.height}},r.prototype.getPattern=function(e){var r=this.patterns[e],n=this.getImage(e);if(!n)return null;if(r&&r.position.version===n.version)return r.position;if(r)r.position.version=n.version;else{var i={w:n.data.width+2,h:n.data.height+2,x:0,y:0},a=new t.ImagePosition(i,n);this.patterns[e]={bin:i,position:a}}return this._updatePatternAtlas(),this.patterns[e].position},r.prototype.bind=function(e){var r=e.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new t.Texture(e,this.atlasImage,r.RGBA),this.atlasTexture.bind(r.LINEAR,r.CLAMP_TO_EDGE)},r.prototype._updatePatternAtlas=function(){var e=[];for(var r in this.patterns)e.push(this.patterns[r].bin);var n=t.potpack(e),i=n.w,a=n.h,o=this.atlasImage;for(var s in o.resize({width:i||1,height:a||1}),this.patterns){var l=this.patterns[s].bin,u=l.x+1,c=l.y+1,f=this.images[s].data,h=f.width,p=f.height;t.RGBAImage.copy(f,o,{x:0,y:0},{x:u,y:c},{width:h,height:p}),t.RGBAImage.copy(f,o,{x:0,y:p-1},{x:u,y:c-1},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:u,y:c+p},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:h-1,y:0},{x:u-1,y:c},{width:1,height:p}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:u+h,y:c},{width:1,height:p})}this.dirty=!0},r.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},r.prototype.dispatchRenderCallbacks=function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!this.callbackDispatchedThisFrame[n]){this.callbackDispatchedThisFrame[n]=!0;var i=this.images[n];f(i)&&this.updateImage(n,i)}}},r}(t.Evented);var p=g,d=g,v=1e20;function g(t,e,r,n,i,a){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=i||"sans-serif",this.fontWeight=a||"normal",this.radius=r||8;var o=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement("canvas"),this.canvas.width=this.canvas.height=o,this.ctx=this.canvas.getContext("2d"),this.ctx.font=this.fontWeight+" "+this.fontSize+"px "+this.fontFamily,this.ctx.textBaseline="middle",this.ctx.fillStyle="black",this.gridOuter=new Float64Array(o*o),this.gridInner=new Float64Array(o*o),this.f=new Float64Array(o),this.d=new Float64Array(o),this.z=new Float64Array(o+1),this.v=new Int16Array(o),this.middle=Math.round(o/2*(navigator.userAgent.indexOf("Gecko/")>=0?1.2:1))}function y(t,e,r,n,i,a,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(m(n,i,a,o,r),l=0;l<r;l++)t[l*e+s]=i[l]}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(m(n,i,a,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(i[s])}}function m(t,e,r,n,i){r[0]=0,n[0]=-v,n[1]=+v;for(var a=1,o=0;a<i;a++){for(var s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);s<=n[o];)o--,s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);r[++o]=a,n[o]=s,n[o+1]=+v}for(a=0,o=0;a<i;a++){for(;n[o+1]<a;)o++;e[a]=(a-r[o])*(a-r[o])+t[r[o]]}}g.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),r=new Uint8ClampedArray(this.size*this.size),n=0;n<this.size*this.size;n++){var i=e.data[4*n+3]/255;this.gridOuter[n]=1===i?0:0===i?v:Math.pow(Math.max(0,.5-i),2),this.gridInner[n]=1===i?v:0===i?0:Math.pow(Math.max(0,i-.5),2)}for(y(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),y(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++){var a=this.gridOuter[n]-this.gridInner[n];r[n]=Math.max(0,Math.min(255,Math.round(255-255*(a/this.radius+this.cutoff))))}return r},p.default=d;var x=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};x.prototype.setURL=function(t){this.url=t},x.prototype.getGlyphs=function(e,r){var n=this,i=[];for(var a in e)for(var o=0,s=e[a];o<s.length;o+=1){var l=s[o];i.push({stack:a,id:l})}t.asyncAll(i,function(t,e){var r=t.stack,i=t.id,a=n.entries[r];a||(a=n.entries[r]={glyphs:{},requests:{},ranges:{}});var o=a.glyphs[i];if(void 0===o){if(o=n._tinySDF(a,r,i))return a.glyphs[i]=o,void e(null,{stack:r,id:i,glyph:o});var s=Math.floor(i/256);if(256*s>65535)e(new Error("glyphs > 65535 not supported"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i<o.length;i+=1)(0,o[i])(t,e);delete a.requests[s]})),l.push(function(t,n){t?e(t):n&&e(null,{stack:r,id:i,glyph:n[i]||null})})}}else e(null,{stack:r,id:i,glyph:o})},function(t,e){if(t)r(t);else if(e){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.stack,l=o.id,u=o.glyph;(n[s]||(n[s]={}))[l]=u&&{id:u.id,bitmap:u.bitmap.clone(),metrics:u.metrics}}r(null,n)}})},x.prototype._doesCharSupportLocalGlyph=function(e){return!!this.localIdeographFontFamily&&(t.isChar["CJK Unified Ideographs"](e)||t.isChar["Hangul Syllables"](e)||t.isChar.Hiragana(e)||t.isChar.Katakana(e))},x.prototype._tinySDF=function(e,r,n){var i=this.localIdeographFontFamily;if(i&&this._doesCharSupportLocalGlyph(n)){var a=e.tinySDF;if(!a){var o="400";/bold/i.test(r)?o="900":/medium/i.test(r)?o="500":/light/i.test(r)&&(o="200"),a=e.tinySDF=new x.TinySDF(24,3,8,.25,i,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},a.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,i,a){var o=256*r,s=o+255,l=i.transformRequest(i.normalizeGlyphsURL(n).replace("{fontstack}",e).replace("{range}",o+"-"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,function(e,r){if(e)a(e);else if(r){for(var n={},i=0,o=t.parseGlyphPBF(r);i<o.length;i+=1){var s=o[i];n[s.id]=s}a(null,n)}})},x.TinySDF=p;var b=function(){this.specification=t.styleSpec.light.position};b.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},b.prototype.interpolate=function(e,r,n){return{x:t.number(e.x,r.x,n),y:t.number(e.y,r.y,n),z:t.number(e.z,r.z,n)}};var _=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new b,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),w="-transition",T=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(_),this.setLight(r),this._transitioning=this._transitionable.untransitioned()}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getLight=function(){return this._transitionable.serialize()},r.prototype.setLight=function(e,r){if(void 0===r&&(r={}),!this._validate(t.validateLight,e,r))for(var n in e){var i=e[n];t.endsWith(n,w)?this._transitionable.setTransition(n.slice(0,-11),i):this._transitionable.setValue(n,i)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),A=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};A.prototype.getDash=function(t,e){var r=t.join(",")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]},A.prototype.getDashRanges=function(t,e,r){var n=[],i=t.length%2==1?-t[t.length-1]*r:0,a=t[0]*r,o=!0;n.push({left:i,right:a,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){o=!o;var u=t[l];i=s*r,a=(s+=u)*r,n.push({left:i,right:a,isDash:o,zeroLength:0===u})}return n},A.prototype.addRoundDash=function(t,e,r){for(var n=e/2,i=-r;i<=r;i++)for(var a=this.nextRow+r+i,o=this.width*a,s=0,l=t[s],u=0;u<this.width;u++){u/l.right>1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=void 0,d=i/r*(n+1);if(l.isDash){var v=n-Math.abs(d);p=Math.sqrt(h*h+v*v)}else p=n-Math.sqrt(h*h+d*d);this.data[o+u]=Math.max(0,Math.min(255,p+128))}},A.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],u=0;u<this.width;u++){u/l.right>1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=l.isDash?h:-h;this.data[o+u]=Math.max(0,Math.min(255,p+128))}},A.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce("LineAtlas out of space"),null;for(var a=0,o=0;o<e.length;o++)a+=e[o];if(0!==a){var s=this.width/a,l=this.getDashRanges(e,this.width,s);r?this.addRoundDash(l,s,n):this.addRegularDash(l)}var u={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,u},A.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))};var k=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var i=this.workerPool.acquire(this.id),a=0;a<i.length;a++){var o=i[a],s=new e.Actor(o,n,this.id);s.name="Worker "+a,this.actors.push(s)}};function M(e,r,n){var i=function(i,a){if(i)return n(i);if(a){var o=t.pick(t.extend(a,e),["tiles","minzoom","maxzoom","attribution","mapbox_logo","bounds","scheme","tileSize","encoding"]);a.vector_layers&&(o.vectorLayers=a.vector_layers,o.vectorLayerIds=o.vectorLayers.map(function(t){return t.id})),o.tiles=r.canonicalizeTileset(o,e.url),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),i):t.browser.frame(function(){return i(null,e)})}k.prototype.broadcast=function(e,r,n){n=n||function(){},t.asyncAll(this.actors,function(t,n){t.send(e,r,n)},n)},k.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},k.prototype.remove=function(){this.actors.forEach(function(t){t.remove()}),this.actors=[],this.workerPool.release(this.id)},k.Actor=t.Actor;var S=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};S.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},S.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),i=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),a=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<a&&e.y>=i&&e.y<o};var E=function(e){function r(r,n,i,a){if(e.call(this),this.id=r,this.dispatcher=i,this.type="vector",this.minzoom=0,this.maxzoom=22,this.scheme="xyz",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.extend(this,t.pick(n,["url","scheme","tileSize","promoteId"])),this._options=t.extend({type:"vector"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error("vector tile sources must have a tileSize of 512");this.setEventedParent(a)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event("dataloading",{dataType:"source"})),this._tileJSONRequest=M(this._options,this.map._requestManager,function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new S(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"metadata"})),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"content"})))})},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme)),i={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};function a(n,i){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(i&&i.resourceTiming&&(e.resourceTiming=i.resourceTiming),this.map._refreshExpiredTiles&&i&&e.setExpiryData(i),e.loadVectorData(i,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}i.request.collectResourceTiming=this._collectResourceTiming,e.actor&&"expired"!==e.state?"loading"===e.state?e.reloadCallback=r:e.request=e.actor.send("reloadTile",i,a.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send("loadTile",i,a.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send("abortTile",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send("removeTile",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),L=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.dispatcher=i,this.setEventedParent(a),this.type="raster",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme="xyz",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:"raster"},n),t.extend(this,t.pick(n,["url","scheme","tileSize"]))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event("dataloading",{dataType:"source"})),this._tileJSONRequest=M(this._options,this.map._requestManager,function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new S(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"metadata"})),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"content"})))})},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,i=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(i,t.ResourceType.Tile),function(i,a){if(delete e.request,e.aborted)e.state="unloaded",r(null);else if(i)e.state="errored",r(i);else if(a){n.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(a.width),e.texture?e.texture.update(a,{useMipmap:!0}):(e.texture=new t.Texture(o,a,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state="loaded",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}})},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),C=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),this.type="raster-dem",this.maxzoom=22,this._options=t.extend({type:"raster-dem"},n),this.encoding=n.encoding||"mapbox"}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.serialize=function(){return{type:"raster-dem",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);function i(t,n){t&&(e.state="errored",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state="loaded",r(null))}e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,a){if(delete e.request,e.aborted)e.state="unloaded",r(null);else if(n)e.state="errored",r(n);else if(a){this.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=t.window.ImageBitmap&&a instanceof t.window.ImageBitmap&&t.offscreenCanvasSupported()?a:t.browser.getImageData(a,1),s={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:o,encoding:this.encoding};e.actor&&"expired"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send("loadDEMTile",s,i.bind(this)))}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID)},r.prototype._getNeighboringTiles=function(e){var r=e.canonical,n=Math.pow(2,r.z),i=(r.x-1+n)%n,a=0===r.x?e.wrap-1:e.wrap,o=(r.x+1+n)%n,s=r.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state="unloaded",t.actor&&t.actor.send("removeDEMTile",{uid:t.uid,source:this.id})},r}(L),P=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.type="geojson",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=i.getActor(),this.setEventedParent(a),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution),this.promoteId=n.promoteId;var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1,generateId:n.generateId||!1},clusterProperties:n.clusterProperties},n.workerOptions)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event("dataloading",{dataType:"source"})),this._updateWorkerData(function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:"source",sourceDataType:"metadata"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event("data",n))}})},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event("dataloading",{dataType:"source"})),this._updateWorkerData(function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:"source",sourceDataType:"content"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event("data",n))}}),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send("geojson.getClusterExpansionZoom",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send("geojson.getClusterChildren",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send("geojson.getClusterLeaves",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;"string"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+".loadData",n,function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+".coalesce",{source:n.source},null),e(t))})},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?"reloadTile":"loadTile";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,"reloadTile"===i),r(null))})},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send("removeTile",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send("removeSource",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),O=t.createLayout([{name:"a_pos",type:"Int16",components:2},{name:"a_texture_pos",type:"Int16",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type="image",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event("dataloading",{dataType:"source"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())})},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,function(){e.texture=null}),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event("data",{dataType:"source",sourceDataType:"metadata"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.x),a=Math.max(a,l.y)}var u=i-r,c=a-n,f=Math.max(u,c),h=Math.max(0,Math.floor(-Math.log(f)/Math.LN2)),p=Math.pow(2,h);return new t.CanonicalTileID(h,Math.floor((r+i)/2*p),Math.floor((n+a)/2*p))}(n),this.minzoom=this.maxzoom=this.tileID.z;var i=n.map(function(t){return r.tileID.getTilePoint(t)._round()});return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(i[0].x,i[0].y,0,0),this._boundsArray.emplaceBack(i[1].x,i[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(i[3].x,i[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(i[2].x,i[2].y,t.EXTENT,t.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.Event("data",{dataType:"source",sourceDataType:"content"})),this},r.prototype.prepare=function(){if(0!==Object.keys(this.tiles).length&&this.image){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new t.Texture(e,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];"loaded"!==i.state&&(i.state="loaded",i.texture=this.texture)}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state="errored",e(null))},r.prototype.serialize=function(){return{type:"image",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return!1},r}(t.Evented);var D=function(e){function r(t,r,n,i){e.call(this,t,r,n,i),this.roundZoom=!0,this.type="video",this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1;var r=this.options;this.urls=[];for(var n=0,i=r.urls;n<i.length;n+=1){var a=i[n];this.urls.push(this.map._requestManager.transformRequest(a,t.ResourceType.Source).url)}t.getVideo(this.urls,function(r,n){e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(e.video=n,e.video.loop=!0,e.video.addEventListener("playing",function(){e.map.triggerRepaint()}),e.map&&e.video.play(),e._finishLoading())})},r.prototype.pause=function(){this.video&&this.video.pause()},r.prototype.play=function(){this.video&&this.video.play()},r.prototype.seek=function(e){if(this.video){var r=this.video.seekable;e<r.start(0)||e>r.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError("sources."+this.id,null,"Playback for this video can be set only between the "+r.start(0)+" and "+r.end(0)+"-second mark."))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];"loaded"!==i.state&&(i.state="loaded",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:"video",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),z=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some(function(t){return!Array.isArray(t)||2!==t.length||t.some(function(t){return"number"!=typeof t})})||this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'"coordinates" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'missing required property "coordinates"'))),n.animate&&"boolean"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'optional "animate" property must be a boolean value'))),n.canvas?"string"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'"canvas" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'missing required property "canvas"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error("Canvas dimensions cannot be less than or equal to zero."))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];"loaded"!==a.state&&(a.state="loaded",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:"canvas",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var r=e[t];if(isNaN(r)||r<=0)return!0}return!1},r}(I),R={vector:E,raster:L,"raster-dem":C,geojson:P,video:D,image:I,canvas:z};function F(e,r){var n=t.identity([]);return t.translate(n,n,[1,1,0]),t.scale(n,n,[.5*e.width,.5*e.height,1]),t.multiply(n,n,e.calculatePosMatrix(r.toUnwrapped()))}function B(t,e,r,n,i,a){var o=function(t,e,r){if(t)for(var n=0,i=t;n<i.length;n+=1){var a=e[i[n]];if(a&&a.source===r&&"fill-extrusion"===a.type)return!0}else for(var o in e){var s=e[o];if(s.source===r&&"fill-extrusion"===s.type)return!0}return!1}(i&&i.layers,e,t.id),s=a.maxPitchScaleFactor(),l=t.tilesIn(n,s,o);l.sort(N);for(var u=[],c=0,f=l;c<f.length;c+=1){var h=f[c];u.push({wrappedTileID:h.tileID.wrapped().key,queryResults:h.tile.queryRenderedFeatures(e,r,t._state,h.queryGeometry,h.cameraQueryGeometry,h.scale,i,a,s,F(t.transform,h.tileID))})}var p=function(t){for(var e={},r={},n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.queryResults,s=a.wrappedTileID,l=r[s]=r[s]||{};for(var u in o)for(var c=o[u],f=l[u]=l[u]||{},h=e[u]=e[u]||[],p=0,d=c;p<d.length;p+=1){var v=d[p];f[v.featureIndex]||(f[v.featureIndex]=!0,h.push(v))}}return e}(u);for(var d in p)p[d].forEach(function(e){var r=e.feature,n=t.getFeatureState(r.layer["source-layer"],r.id);r.source=r.layer.source,r.layer["source-layer"]&&(r.sourceLayer=r.layer["source-layer"]),r.state=n});return p}function N(t,e){var r=t.tileID,n=e.tileID;return r.overscaledZ-n.overscaledZ||r.canonical.y-n.canonical.y||r.wrap-n.wrap||r.canonical.x-n.canonical.x}var j=function(t,e){this.max=t,this.onRemove=e,this.reset()};j.prototype.reset=function(){for(var t in this.data)for(var e=0,r=this.data[t];e<r.length;e+=1){var n=r[e];n.timeout&&clearTimeout(n.timeout),this.onRemove(n.value)}return this.data={},this.order=[],this},j.prototype.add=function(t,e,r){var n=this,i=t.wrapped().key;void 0===this.data[i]&&(this.data[i]=[]);var a={value:e,timeout:void 0};if(void 0!==r&&(a.timeout=setTimeout(function(){n.remove(t,a)},r)),this.data[i].push(a),this.order.push(i),this.order.length>this.max){var o=this._getAndRemoveByKey(this.order[0]);o&&this.onRemove(o)}return this},j.prototype.has=function(t){return t.wrapped().key in this.data},j.prototype.getAndRemove=function(t){return this.has(t)?this._getAndRemoveByKey(t.wrapped().key):null},j.prototype._getAndRemoveByKey=function(t){var e=this.data[t].shift();return e.timeout&&clearTimeout(e.timeout),0===this.data[t].length&&delete this.data[t],this.order.splice(this.order.indexOf(t),1),e.value},j.prototype.getByKey=function(t){var e=this.data[t];return e?e[0].value:null},j.prototype.get=function(t){return this.has(t)?this.data[t.wrapped().key][0].value:null},j.prototype.remove=function(t,e){if(!this.has(t))return this;var r=t.wrapped().key,n=void 0===e?0:this.data[r].indexOf(e),i=this.data[r][n];return this.data[r].splice(n,1),i.timeout&&clearTimeout(i.timeout),0===this.data[r].length&&delete this.data[r],this.onRemove(i.value),this.order.splice(this.order.indexOf(r),1),this},j.prototype.setMaxSize=function(t){for(this.max=t;this.order.length>this.max;){var e=this._getAndRemoveByKey(this.order[0]);e&&this.onRemove(e)}return this},j.prototype.filter=function(t){var e=[];for(var r in this.data)for(var n=0,i=this.data[r];n<i.length;n+=1){var a=i[n];t(a.value)||e.push(a)}for(var o=0,s=e;o<s.length;o+=1){var l=s[o];this.remove(l.value.tileID,l)}};var U=function(t,e,r){this.context=t;var n=t.gl;this.buffer=n.createBuffer(),this.dynamicDraw=Boolean(r),this.context.unbindVAO(),t.bindElementBuffer.set(this.buffer),n.bufferData(n.ELEMENT_ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?n.DYNAMIC_DRAW:n.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer};U.prototype.bind=function(){this.context.bindElementBuffer.set(this.buffer)},U.prototype.updateData=function(t){var 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K(this),this.stencilOp=new $(this),this.stencilTest=new Q(this),this.depthRange=new tt(this),this.depthTest=new et(this),this.depthFunc=new rt(this),this.blend=new nt(this),this.blendFunc=new it(this),this.blendColor=new at(this),this.blendEquation=new ot(this),this.cullFace=new st(this),this.cullFaceSide=new lt(this),this.frontFace=new ut(this),this.program=new ct(this),this.activeTexture=new ft(this),this.viewport=new ht(this),this.bindFramebuffer=new pt(this),this.bindRenderbuffer=new dt(this),this.bindTexture=new vt(this),this.bindVertexBuffer=new gt(this),this.bindElementBuffer=new yt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new mt(this),this.pixelStoreUnpack=new xt(this),this.pixelStoreUnpackPremultiplyAlpha=new bt(this),this.pixelStoreUnpackFlipY=new _t(this),this.extTextureFilterAnisotropic=t.getExtension("EXT_texture_filter_anisotropic")||t.getExtension("MOZ_EXT_texture_filter_anisotropic")||t.getExtension("WEBKIT_EXT_texture_filter_anisotropic"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension("OES_texture_half_float"),this.extTextureHalfFloat&&(t.getExtension("OES_texture_half_float_linear"),this.extRenderToTextureHalfFloat=t.getExtension("EXT_color_buffer_half_float")),this.extTimerQuery=t.getExtension("EXT_disjoint_timer_query")};Pt.prototype.setDefault=function(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()},Pt.prototype.setDirty=function(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.extVertexArrayObject&&(this.bindVertexArrayOES.dirty=!0),this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0},Pt.prototype.createIndexBuffer=function(t,e){return new U(this,t,e)},Pt.prototype.createVertexBuffer=function(t,e,r){return new H(this,t,e,r)},Pt.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,i=n.createRenderbuffer();return this.bindRenderbuffer.set(i),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),i},Pt.prototype.createFramebuffer=function(t,e,r){return new kt(this,t,e,r)},Pt.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,i=0;e&&(i|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(i|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(i)},Pt.prototype.setCullFace=function(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))},Pt.prototype.setDepthMode=function(t){t.func!==this.gl.ALWAYS||t.mask?(this.depthTest.set(!0),this.depthFunc.set(t.func),this.depthMask.set(t.mask),this.depthRange.set(t.range)):this.depthTest.set(!1)},Pt.prototype.setStencilMode=function(t){t.test.func!==this.gl.ALWAYS||t.mask?(this.stencilTest.set(!0),this.stencilMask.set(t.mask),this.stencilOp.set([t.fail,t.depthFail,t.pass]),this.stencilFunc.set({func:t.test.func,ref:t.ref,mask:t.test.mask})):this.stencilTest.set(!1)},Pt.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,Lt.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Pt.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Ot=function(e){function r(r,n,i){var a=this;e.call(this),this.id=r,this.dispatcher=i,this.on("data",function(t){"source"===t.dataType&&"metadata"===t.sourceDataType&&(a._sourceLoaded=!0),a._sourceLoaded&&!a._paused&&"source"===t.dataType&&"content"===t.sourceDataType&&(a.reload(),a.transform&&a.update(a.transform))}),this.on("error",function(){a._sourceErrored=!0}),this._source=function(e,r,n,i){var a=new R[r.type](e,r,n,i);if(a.id!==e)throw new Error("Expected Source id to be "+e+" instead of "+a.id);return t.bindAll(["load","abort","unload","serialize","prepare"],a),a}(r,n,i,this),this._tiles={},this._cache=new j(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;for(var t in this._tiles){var e=this._tiles[t];if("loaded"!==e.state&&"errored"!==e.state)return!1}return!0},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=!0},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,function(){})},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,function(){})},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}},r.prototype.getIds=function(){return t.values(this._tiles).map(function(t){return t.tileID}).sort(It).map(function(t){return t.key})},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var i in this._tiles)this._isIdRenderable(i,e)&&n.push(this._tiles[i]);return e?n.sort(function(e,n){var i=e.tileID,a=n.tileID,o=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle),s=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle);return i.overscaledZ-a.overscaledZ||s.y-o.y||s.x-o.x}).map(function(t){return t.tileID.key}):n.map(function(t){return t.tileID}).sort(It).map(function(t){return t.key})},r.prototype.hasRenderableParent=function(t){var e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)},r.prototype._isIdRenderable=function(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())},r.prototype.reload=function(){if(this._paused)this._shouldReloadOnResume=!0;else for(var t in this._cache.reset(),this._tiles)"errored"!==this._tiles[t].state&&this._reloadTile(t,"reloading")},r.prototype._reloadTile=function(t,e){var r=this._tiles[t];r&&("loading"!==r.state&&(r.state=e),this._loadTile(r,this._tileLoaded.bind(this,r,t,e)))},r.prototype._tileLoaded=function(e,r,n,i){if(i)return e.state="errored",void(404!==i.status?this._source.fire(new t.ErrorEvent(i,{tile:e})):this.update(this.transform));e.timeAdded=t.browser.now(),"expired"===n&&(e.refreshedUponExpiration=!0),this._setTileReloadTimer(r,e),"raster-dem"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._state.initializeTileState(e,this.map?this.map.painter:null),this._source.fire(new t.Event("data",{dataType:"source",tile:e,coord:e.tileID}))},r.prototype._backfillDEM=function(t){for(var e=this.getRenderableIds(),r=0;r<e.length;r++){var n=e[r];if(t.neighboringTiles&&t.neighboringTiles[n]){var i=this.getTileByID(n);a(t,i),a(i,t)}}function a(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,i=Math.pow(2,t.tileID.canonical.z),a=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n="number"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map(function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)}):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter(function(t){return n._source.hasTile(t)}))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(Dt(this._source.type)){for(var u={},c={},f=0,h=Object.keys(l);f<h.length;f+=1){var p=h[f],d=l[p],v=this._tiles[p];if(v&&!(v.fadeEndTime&&v.fadeEndTime<=t.browser.now())){var g=this.findLoadedParent(d,o);g&&(this._addTile(g.tileID),u[g.tileID.key]=g.tileID),c[p]=d}}for(var y in this._retainLoadedChildren(c,a,s,l),u)l[y]||(this._coveredTiles[y]=!0,l[y]=u[y])}for(var m in l)this._tiles[m].clearFadeHold();for(var x=0,b=t.keysDifference(this._tiles,l);x<b.length;x+=1){var _=b[x],w=this._tiles[_];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(_)}this._updateLoadedParentTileCache()}},r.prototype.releaseSymbolFadeTiles=function(){for(var t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)},r.prototype._updateRetainedTiles=function(t,e){for(var n={},i={},a=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,u=t;l<u.length;l+=1){var c=u[l],f=this._addTile(c);n[c.key]=c,f.hasData()||e<this._source.maxzoom&&(s[c.key]=c)}this._retainLoadedChildren(s,e,o,n);for(var h=0,p=t;h<p.length;h+=1){var d=p[h],v=this._tiles[d.key];if(!v.hasData()){if(e+1>this._source.maxzoom){var g=d.children(this._source.maxzoom)[0],y=this.getTile(g);if(y&&y.hasData()){n[g.key]=g;continue}}else{var m=d.children(this._source.maxzoom);if(n[m[0].key]&&n[m[1].key]&&n[m[2].key]&&n[m[3].key])continue}for(var x=v.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(v=this.getTile(_))&&x&&(v=this._addTile(_)),v&&(n[_.key]=_,x=v.wasRequested(),v.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a<o.length;a+=1){var s=o[a];this._loadedParentTiles[s]=r}}},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event("dataloading",{tile:r,coord:r.tileID,dataType:"source"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout(function(){r._reloadTile(t,"expired"),delete r._timers[t]},n))},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&"reloading"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map(function(t){return o.pointCoordinate(t)}),u=s.map(function(t){return o.pointCoordinate(t)}),c=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,v=0,g=u;v<g.length;v+=1){var y=g[v];f=Math.min(f,y.x),h=Math.min(h,y.y),p=Math.max(p,y.x),d=Math.max(d,y.y)}for(var m=function(e){var n=i._tiles[c[e]];if(!n.holdingForFade()){var s=n.tileID,v=Math.pow(2,o.zoom-n.tileID.overscaledZ),g=r*n.queryPadding*t.EXTENT/n.tileSize/v,y=[s.getTilePoint(new t.MercatorCoordinate(f,h)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(y[0].x-g<t.EXTENT&&y[0].y-g<t.EXTENT&&y[1].x+g>=0&&y[1].y+g>=0){var m=l.map(function(t){return s.getTilePoint(t)}),x=u.map(function(t){return s.getTilePoint(t)});a.push({tile:n,tileID:s,queryGeometry:m,cameraQueryGeometry:x,scale:v})}}},x=0;x<c.length;x++)m(x);return a},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map(function(t){return e._tiles[t].tileID}),n=0,i=r;n<i.length;n+=1){var a=i[n];a.posMatrix=this.transform.calculatePosMatrix(a.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(Dt(this._source.type))for(var e in this._tiles){var r=this._tiles[e];if(void 0!==r.fadeEndTime&&r.fadeEndTime>=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||"_geojsonTileLayer",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||"_geojsonTileLayer",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||"_geojsonTileLayer",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles)this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,"reloading");this._cache.filter(function(r){return!r.hasDependency(t,e)})},r}(t.Evented);function It(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function Dt(t){return"raster"===t||"image"===t||"video"===t}function zt(){return new t.window.Worker(ea.workerUrl)}Ot.maxOverzooming=10,Ot.maxUnderzooming=3;var Rt="mapboxgl_preloaded_worker_pool",Ft=function(){this.active={}};Ft.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Ft.workerCount;)this.workers.push(new zt);return this.active[t]=!0,this.workers.slice()},Ft.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach(function(t){t.terminate()}),this.workers=null)},Ft.prototype.isPreloaded=function(){return!!this.active[Rt]},Ft.prototype.numActive=function(){return Object.keys(this.active).length};var Bt,Nt=Math.floor(t.browser.hardwareConcurrency/2);function jt(){return Bt||(Bt=new Ft),Bt}function Ut(e,r){var n={};for(var i in e)"ref"!==i&&(n[i]=e[i]);return t.refProperties.forEach(function(t){t in r&&(n[t]=r[t])}),n}function Vt(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)"ref"in t[n]&&(t[n]=Ut(t[n],e[t[n].ref]));return t}Ft.workerCount=Math.max(Math.min(Nt,6),1);var Ht={setStyle:"setStyle",addLayer:"addLayer",removeLayer:"removeLayer",setPaintProperty:"setPaintProperty",setLayoutProperty:"setLayoutProperty",setFilter:"setFilter",addSource:"addSource",removeSource:"removeSource",setGeoJSONSourceData:"setGeoJSONSourceData",setLayerZoomRange:"setLayerZoomRange",setLayerProperty:"setLayerProperty",setCenter:"setCenter",setZoom:"setZoom",setBearing:"setBearing",setPitch:"setPitch",setSprite:"setSprite",setGlyphs:"setGlyphs",setTransition:"setTransition",setLight:"setLight"};function qt(t,e,r){r.push({command:Ht.addSource,args:[t,e[t]]})}function Gt(t,e,r){e.push({command:Ht.removeSource,args:[t]}),r[t]=!0}function Yt(t,e,r,n){Gt(t,r,n),qt(t,e,r)}function Wt(e,r,n){var i;for(i in e[n])if(e[n].hasOwnProperty(i)&&"data"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;for(i in r[n])if(r[n].hasOwnProperty(i)&&"data"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;return!0}function Zt(e,r,n,i,a,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}))}function Xt(t){return t.id}function Jt(t,e){return t[e.id]=e,t}function Kt(e,r){if(!e)return[{command:Ht.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:Ht.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:Ht.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:Ht.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:Ht.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:Ht.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:Ht.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:Ht.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:Ht.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:Ht.setLight,args:[r.light]});var i={},a=[];!function(e,r,n,i){var a;for(a in r=r||{},e=e||{})e.hasOwnProperty(a)&&(r.hasOwnProperty(a)||Gt(a,n,i));for(a in r)r.hasOwnProperty(a)&&(e.hasOwnProperty(a)?t.deepEqual(e[a],r[a])||("geojson"===e[a].type&&"geojson"===r[a].type&&Wt(e,r,a)?n.push({command:Ht.setGeoJSONSourceData,args:[a,r[a].data]}):Yt(a,r,n,i)):qt(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach(function(t){i[t.source]?n.push({command:Ht.removeLayer,args:[t.id]}):o.push(t)}),n=n.concat(a),function(e,r,n){r=r||[];var i,a,o,s,l,u,c,f=(e=e||[]).map(Xt),h=r.map(Xt),p=e.reduce(Jt,{}),d=r.reduce(Jt,{}),v=f.slice(),g=Object.create(null);for(i=0,a=0;i<f.length;i++)o=f[i],d.hasOwnProperty(o)?a++:(n.push({command:Ht.removeLayer,args:[o]}),v.splice(v.indexOf(o,a),1));for(i=0,a=0;i<h.length;i++)o=h[h.length-1-i],v[v.length-1-i]!==o&&(p.hasOwnProperty(o)?(n.push({command:Ht.removeLayer,args:[o]}),v.splice(v.lastIndexOf(o,v.length-a),1)):a++,u=v[v.length-i],n.push({command:Ht.addLayer,args:[d[o],u]}),v.splice(v.length-i,0,o),g[o]=!0);for(i=0;i<h.length;i++)if(s=p[o=h[i]],l=d[o],!g[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s["source-layer"],l["source-layer"])&&t.deepEqual(s.type,l.type)){for(c in Zt(s.layout,l.layout,n,o,null,Ht.setLayoutProperty),Zt(s.paint,l.paint,n,o,null,Ht.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:Ht.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:Ht.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(c)&&"layout"!==c&&"paint"!==c&&"filter"!==c&&"metadata"!==c&&"minzoom"!==c&&"maxzoom"!==c&&(0===c.indexOf("paint.")?Zt(s[c],l[c],n,o,c.slice(6),Ht.setPaintProperty):t.deepEqual(s[c],l[c])||n.push({command:Ht.setLayerProperty,args:[o,c,l[c]]}));for(c in l)l.hasOwnProperty(c)&&!s.hasOwnProperty(c)&&"layout"!==c&&"paint"!==c&&"filter"!==c&&"metadata"!==c&&"minzoom"!==c&&"maxzoom"!==c&&(0===c.indexOf("paint.")?Zt(s[c],l[c],n,o,c.slice(6),Ht.setPaintProperty):t.deepEqual(s[c],l[c])||n.push({command:Ht.setLayerProperty,args:[o,c,l[c]]}))}else n.push({command:Ht.removeLayer,args:[o]}),u=v[v.lastIndexOf(o)+1],n.push({command:Ht.addLayer,args:[l,u]})}(o,r.layers,n)}catch(t){console.warn("Unable to compute style diff:",t),n=[{command:Ht.setStyle,args:[r]}]}return n}var $t=function(t,e){this.reset(t,e)};$t.prototype.reset=function(t,e){this.points=t||[],this._distances=[0];for(var r=1;r<this.points.length;r++)this._distances[r]=this._distances[r-1]+this.points[r].dist(this.points[r-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(e||0,.5*this.length),this.paddedLength=this.length-2*this.padding},$t.prototype.lerp=function(e){if(1===this.points.length)return this.points[0];e=t.clamp(e,0,1);for(var r=1,n=this._distances[r],i=e*this.paddedLength+this.padding;n<i&&r<this._distances.length;)n=this._distances[++r];var a=r-1,o=this._distances[a],s=n-o,l=s>0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Qt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a<this.xCellCount*this.yCellCount;a++)n.push([]),i.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function te(e,r,n,i,a){var o=t.create();return r?(t.scale(o,o,[1/a,1/a,1]),n||t.rotateZ(o,o,i.angle)):t.multiply(o,i.labelPlaneMatrix,e),o}function ee(e,r,n,i,a){if(r){var o=t.clone(e);return t.scale(o,o,[a,a,1]),n||t.rotateZ(o,o,-i.angle),o}return i.glCoordMatrix}function re(e,r){var n=[e.x,e.y,0,1];pe(n,n,r);var i=n[3];return{point:new t.Point(n[0]/i,n[1]/i),signedDistanceFromCamera:i}}function ne(t,e){return.5+t/e*.5}function ie(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ae(e,r,n,i,a,o,s,l){var u=i?e.textSizeData:e.iconSizeData,c=t.evaluateSizeForZoom(u,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,v=n.transform.width/n.transform.height,g=!1,y=0;y<d.length;y++){var m=d.get(y);if(m.hidden||m.writingMode===t.WritingMode.vertical&&!g)he(m.numGlyphs,h);else{g=!1;var x=[m.anchorX,m.anchorY,0,1];if(t.transformMat4(x,x,r),ie(x,f)){var b=x[3],_=ne(n.transform.cameraToCenterDistance,b),w=t.evaluateSizeForFeature(u,c,m),T=s?w/_:w*_,A=new t.Point(m.anchorX,m.anchorY),k=re(A,a).point,M={},S=le(m,T,!1,l,r,a,o,e.glyphOffsetArray,p,h,k,A,M,v);g=S.useVertical,(S.notEnoughRoom||g||S.needsFlipping&&le(m,T,!0,l,r,a,o,e.glyphOffsetArray,p,h,k,A,M,v).notEnoughRoom)&&he(m.numGlyphs,h)}else he(m.numGlyphs,h)}}i?e.text.dynamicLayoutVertexBuffer.updateData(h):e.icon.dynamicLayoutVertexBuffer.updateData(h)}function oe(t,e,r,n,i,a,o,s,l,u,c){var f=s.glyphStartIndex+s.numGlyphs,h=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),v=e.getoffsetX(f-1),g=ce(t*d,r,n,i,a,o,s.segment,h,p,l,u,c);if(!g)return null;var y=ce(t*v,r,n,i,a,o,s.segment,h,p,l,u,c);return y?{first:g,last:y}:null}function se(e,r,n,i){return e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*i?{useVertical:!0}:(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function le(e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=r/24,y=e.lineOffsetX*g,m=e.lineOffsetY*g;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=oe(g,l,y,m,n,f,h,e,u,o,p);if(!w)return{notEnoughRoom:!0};var T=re(w.first.point,s).point,A=re(w.last.point,s).point;if(i&&!n){var k=se(e.writingMode,T,A,d);if(k)return k}v=[w.first];for(var M=e.glyphStartIndex+1;M<x-1;M++)v.push(ce(g*l.getoffsetX(M),y,m,n,f,h,e.segment,b,_,u,o,p));v.push(w.last)}else{if(i&&!n){var S=re(h,a).point,E=e.lineStartIndex+e.segment+1,L=new t.Point(u.getx(E),u.gety(E)),C=re(L,a),P=C.signedDistanceFromCamera>0?C.point:ue(h,L,S,1,a),O=se(e.writingMode,S,P,d);if(O)return O}var I=ce(g*l.getoffsetX(e.glyphStartIndex),y,m,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,u,o,p);if(!I)return{notEnoughRoom:!0};v=[I]}for(var D=0,z=v;D<z.length;D+=1){var R=z[D];t.addDynamicAttributes(c,R.point,R.angle)}return{}}function ue(t,e,r,n,i){var a=re(t.add(t.sub(e)._unit()),i).point,o=r.sub(a);return r.add(o._mult(n/o.mag()))}function ce(e,r,n,i,a,o,s,l,u,c,f,h){var p=i?e-r:e+r,d=p>0?1:-1,v=0;i&&(d*=-1,v=Math.PI),d<0&&(v+=Math.PI);for(var g=d>0?l+s:l+s+1,y=a,m=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((g+=d)<l||g>=u)return null;if(m=y,w.push(y),void 0===(y=h[g])){var T=new t.Point(c.getx(g),c.gety(g)),A=re(T,f);if(A.signedDistanceFromCamera>0)y=h[g]=A.point;else{var k=g-d;y=ue(0===x?o:new t.Point(c.getx(k),c.gety(k)),T,m,_-x+1,f)}}x+=b,b=m.dist(y)}var M=(_-x)/b,S=y.sub(m),E=S.mult(M)._add(m);E._add(S._unit()._perp()._mult(n*d));var L=v+Math.atan2(y.y-m.y,y.x-m.x);return w.push(E),{point:E,angle:L,path:w}}Qt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Qt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Qt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Qt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Qt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Qt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var u=this.circles[3*l],c=this.circles[3*l+1],f=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:u-f,y1:c-f,x2:u+f,y2:c+f})}return a?o.filter(a):o}var h={hitTest:i,seenUids:{box:{},circle:{}}};return this._forEachCell(t,e,r,n,this._queryCell,o,h,a),i?o.length>0:o},Qt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var u=[],c={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,u,c,i),n?u.length>0:u},Qt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Qt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Qt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Qt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,u=this.boxCells[i];if(null!==u)for(var c=this.bboxes,f=0,h=u;f<h.length;f+=1){var p=h[f];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=c[d+2]&&e<=c[d+3]&&r>=c[d+0]&&n>=c[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:c[d],y1:c[d+1],x2:c[d+2],y2:c[d+3]})}}}var v=this.circleCells[i];if(null!==v)for(var g=this.circles,y=0,m=v;y<m.length;y+=1){var x=m[y];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(g[b],g[b+1],g[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return a.push(!0),!0;var _=g[b],w=g[b+1],T=g[b+2];a.push({key:this.circleKeys[x],x1:_-T,y1:w-T,x2:_+T,y2:w+T})}}}},Qt.prototype._queryCellCircle=function(t,e,r,n,i,a,o,s){var l=o.circle,u=o.seenUids,c=this.boxCells[i];if(null!==c)for(var f=this.bboxes,h=0,p=c;h<p.length;h+=1){var d=p[h];if(!u.box[d]){u.box[d]=!0;var v=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,f[v+0],f[v+1],f[v+2],f[v+3])&&(!s||s(this.boxKeys[d])))return a.push(!0),!0}}var g=this.circleCells[i];if(null!==g)for(var y=this.circles,m=0,x=g;m<x.length;m+=1){var b=x[m];if(!u.circle[b]){u.circle[b]=!0;var _=3*b;if(this._circlesCollide(y[_],y[_+1],y[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return a.push(!0),!0}}},Qt.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToXCellCoord(t),u=this._convertToYCellCoord(e),c=this._convertToXCellCoord(r),f=this._convertToYCellCoord(n),h=l;h<=c;h++)for(var p=u;p<=f;p++){var d=this.xCellCount*p+h;if(i.call(this,t,e,r,n,d,a,o,s))return}},Qt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Qt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Qt.prototype._circlesCollide=function(t,e,r,n,i,a){var o=n-t,s=i-e,l=r+a;return l*l>o*o+s*s},Qt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var u=(o-i)/2,c=Math.abs(e-(i+u));if(c>u+r)return!1;if(l<=s||c<=u)return!0;var f=l-s,h=c-u;return f*f+h*h<=r*r};var fe=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function he(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(fe,3*n)}}function pe(t,e,r){var n=e[0],i=e[1];return t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t[3]=r[3]*n+r[7]*i+r[15],t}var de=100,ve=function(t,e,r){void 0===e&&(e=new Qt(t.width+200,t.height+200,25)),void 0===r&&(r=new Qt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+de,this.screenBottomBoundary=t.height+de,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function ge(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}ve.prototype.placeCollisionBox=function(t,e,r,n,i){var a=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*a.perspectiveRatio,s=t.x1*o+a.point.x,l=t.y1*o+a.point.y,u=t.x2*o+a.point.x,c=t.y2*o+a.point.y;return!this.isInsideGrid(s,l,u,c)||!e&&this.grid.hitTest(s,l,u,c,i)?{box:[],offscreen:!1}:{box:[s,l,u,c],offscreen:this.isOffscreen(s,l,u,c)}},ve.prototype.placeCollisionCircles=function(e,r,n,i,a,o,s,l,u,c,f,h,p){var d=[],v=new t.Point(r.anchorX,r.anchorY),g=re(v,o),y=ne(this.transform.cameraToCenterDistance,g.signedDistanceFromCamera),m=(c?a/y:a*y)/t.ONE_EM,x=re(v,s).point,b=oe(m,i,r.lineOffsetX*m,r.lineOffsetY*m,!1,x,v,r,n,s,{}),_=!1,w=!1,T=!0;if(b){for(var A=.5*h*y+p,k=new t.Point(-100,-100),M=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new $t,E=b.first,L=b.last,C=[],P=E.path.length-1;P>=1;P--)C.push(E.path[P]);for(var O=1;O<L.path.length;O++)C.push(L.path[O]);var I=2.5*A;if(l){var D=C.map(function(t){return re(t,l)});C=D.some(function(t){return t.signedDistanceFromCamera<=0})?[]:D.map(function(t){return t.point})}var z=[];if(C.length>0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B<C.length;B++)R.x=Math.min(R.x,C[B].x),R.y=Math.min(R.y,C[B].y),F.x=Math.max(F.x,C[B].x),F.y=Math.max(F.y,C[B].y);z=R.x>=k.x&&F.x<=M.x&&R.y>=k.y&&F.y<=M.y?[C]:F.x<k.x||R.x>M.x||F.y<k.y||R.y>M.y?[]:t.clipLine([C],k.x,k.y,M.x,M.y)}for(var N=0,j=z;N<j.length;N+=1){var U=j[N];S.reset(U,.25*A);var V;V=S.length<=.5*A?1:Math.ceil(S.paddedLength/I)+1;for(var H=0;H<V;H++){var q=H/Math.max(V-1,1),G=S.lerp(q),Y=G.x+de,W=G.y+de;d.push(Y,W,A,0);var Z=Y-A,X=W-A,J=Y+A,K=W+A;if(T=T&&this.isOffscreen(Z,X,J,K),w=w||this.isInsideGrid(Z,X,J,K),!e&&this.grid.hitTestCircle(Y,W,A,f)&&(_=!0,!u))return{circles:[],offscreen:!1,collisionDetected:_}}}}return{circles:!u&&_||!w?[]:d,offscreen:T,collisionDetected:_}},ve.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,i=1/0,a=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var u=l[s],c=new t.Point(u.x+de,u.y+de);n=Math.min(n,c.x),i=Math.min(i,c.y),a=Math.max(a,c.x),o=Math.max(o,c.y),r.push(c)}for(var f={},h={},p=0,d=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o));p<d.length;p+=1){var v=d[p],g=v.key;if(void 0===f[g.bucketInstanceId]&&(f[g.bucketInstanceId]={}),!f[g.bucketInstanceId][g.featureIndex]){var y=[new t.Point(v.x1,v.y1),new t.Point(v.x2,v.y1),new t.Point(v.x2,v.y2),new t.Point(v.x1,v.y2)];t.polygonIntersectsPolygon(r,y)&&(f[g.bucketInstanceId][g.featureIndex]=!0,void 0===h[g.bucketInstanceId]&&(h[g.bucketInstanceId]=[]),h[g.bucketInstanceId].push(g.featureIndex))}}return h},ve.prototype.insertCollisionBox=function(t,e,r,n,i){var a={bucketInstanceId:r,featureIndex:n,collisionGroupID:i};(e?this.ignoredGrid:this.grid).insert(a,t[0],t[1],t[2],t[3])},ve.prototype.insertCollisionCircles=function(t,e,r,n,i){for(var a=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:i},s=0;s<t.length;s+=4)a.insertCircle(o,t[s],t[s+1],t[s+2])},ve.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var i=[r,n,0,1];return pe(i,i,e),{point:new t.Point((i[0]/i[3]+1)/2*this.transform.width+de,(-i[1]/i[3]+1)/2*this.transform.height+de),perspectiveRatio:.5+this.transform.cameraToCenterDistance/i[3]*.5}},ve.prototype.isOffscreen=function(t,e,r,n){return r<de||t>=this.screenRightBoundary||n<de||e>this.screenBottomBoundary},ve.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},ve.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var ye=function(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r};ye.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var me=function(t,e,r,n,i){this.text=new ye(t?t.text:null,e,r,i),this.icon=new ye(t?t.icon:null,e,n,i)};me.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var xe=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},be=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},_e=function(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i},we=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function Te(e,r,n,i,a){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,i);return new t.Point(s+u[0]*a,l+u[1]*a)}function Ae(e,r,n,i,a,o){var s=e.x1,l=e.x2,u=e.y1,c=e.y2,f=e.anchorPointX,h=e.anchorPointY,p=new t.Point(r,n);return i&&p._rotate(a?o:-o),{x1:s+p.x,y1:u+p.y,x2:l+p.x,y2:c+p.y,anchorPointX:f,anchorPointY:h}}we.prototype.get=function(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){var e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:function(t){return t.collisionGroupID===e}}}return this.collisionGroups[t]};var ke=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new ve(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new we(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function Me(t,e,r,n,i){t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0)}ke.prototype.getBucketParts=function(e,r,n,i){var a=n.getBucket(r),o=n.latestFeatureIndex;if(a&&o&&r.id===a.layerIds[0]){var s=n.collisionBoxArray,l=a.layers[0].layout,u=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),c=n.tileSize/t.EXTENT,f=this.transform.calculatePosMatrix(n.tileID.toUnwrapped()),h="map"===l.get("text-pitch-alignment"),p="map"===l.get("text-rotation-alignment"),d=ge(n,1,this.transform.zoom),v=te(f,h,p,this.transform,d),g=null;if(h){var y=ee(f,h,p,this.transform,d);g=t.multiply([],this.transform.labelPlaneMatrix,y)}this.retainedQueryData[a.bucketInstanceId]=new _e(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);var m={bucket:a,layout:l,posMatrix:f,textLabelPlaneMatrix:v,labelToScreenMatrix:g,scale:u,textPixelRatio:c,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(var x=0,b=a.sortKeyRanges;x<b.length;x+=1){var _=b[x],w=_.sortKey,T=_.symbolInstanceStart,A=_.symbolInstanceEnd;e.push({sortKey:w,symbolInstanceStart:T,symbolInstanceEnd:A,parameters:m})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:m})}},ke.prototype.attemptAnchorPlacement=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=[f.textOffset0,f.textOffset1],y=Te(t,r,n,g,i),m=this.collisionIndex.placeCollisionBox(Ae(e,y.x,y.y,a,o,this.transform.angle),c,s,l,u.predicate);if(!d||0!==this.collisionIndex.placeCollisionBox(Ae(d,y.x,y.y,a,o,this.transform.angle),c,s,l,u.predicate).box.length)return m.box.length>0?(this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(v=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:g,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:v},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:y,placedGlyphBoxes:m}):void 0},ke.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,u=a.textLabelPlaneMatrix,c=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,v=a.collisionGroup,g=s.get("text-optional"),y=s.get("icon-optional"),m=s.get("text-allow-overlap"),x=s.get("icon-allow-overlap"),b="map"===s.get("text-rotation-alignment"),_="map"===s.get("text-pitch-alignment"),w="none"!==s.get("icon-text-fit"),T="viewport-y"===s.get("symbol-z-order"),A=m&&(x||!o.hasIconData()||y),k=x&&(m||!o.hasTextData()||g);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new xe(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,L={box:null,offscreen:null},C={box:null,offscreen:null},P=null,O=null,I=0,D=0,z=0;a.textFeatureIndex?I=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(I=e.featureIndex),a.verticalTextFeatureIndex&&(D=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i<s.length&&(s[i]===t.WritingMode.vertical?(L=n(),C=L):L=r(),!(L&&L.box&&L.box.length));i+=1);else L=r()};if(s.get("text-variable-anchor")){var N=s.get("text-variable-anchor");if(i.prevPlacement&&i.prevPlacement.variableOffsets[e.crossTileID]){var j=i.prevPlacement.variableOffsets[e.crossTileID];N.indexOf(j.anchor)>0&&(N=N.filter(function(t){return t!==j.anchor})).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,u=e.textBoxScale,c=w&&!x?r:null,h={box:[],offscreen:!1},p=m?2*N.length:N.length,d=0;d<p;++d){var g=N[d%N.length],y=d>=N.length,A=i.attemptAnchorPlacement(g,t,a,s,u,b,_,f,l,v,y,e,o,n,c);if(A&&(h=A.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=A.shift;break}}return h};B(function(){return U(R,a.iconBox,t.WritingMode.horizontal)},function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}}),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var H=i.prevPlacement.variableOffsets[e.crossTileID];H&&(i.variableOffsets[e.crossTileID]=H,i.markUsedJustification(o,H.anchor,e,V))}}else{var q=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,m,f,l,v.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B(function(){return q(R,t.WritingMode.horizontal)},function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?q(r,t.WritingMode.vertical):{box:null,offscreen:null}}),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),Y=t.evaluateSizeForFeature(o.textSizeData,d,G),W=s.get("text-padding"),Z=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(m,G,o.lineVertexArray,o.glyphOffsetArray,Y,l,u,c,n,_,v.predicate,Z,W),T=m||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(z=a.iconFeatureIndex),a.iconBox){var X=function(t){var e=w&&E?Ae(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,v.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(O=X(a.verticalIconBox)).box.length>0:(O=X(a.iconBox)).box.length>0,S=S&&O.offscreen}var J=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,K=y||0===e.numIconVertices;if(J||K?K?J||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(C&&C.box&&D?i.collisionIndex.insertCollisionBox(p.box,s.get("text-ignore-placement"),o.bucketInstanceId,D,v.ID):i.collisionIndex.insertCollisionBox(p.box,s.get("text-ignore-placement"),o.bucketInstanceId,I,v.ID)),M&&O&&i.collisionIndex.insertCollisionBox(O.box,s.get("icon-ignore-placement"),o.bucketInstanceId,z,v.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get("text-ignore-placement"),o.bucketInstanceId,I,v.ID),n)){var $=o.bucketInstanceId,Q=i.collisionCircleArrays[$];void 0===Q&&(Q=i.collisionCircleArrays[$]=new be);for(var tt=0;tt<P.circles.length;tt+=4)Q.circles.push(P.circles[tt+0]),Q.circles.push(P.circles[tt+1]),Q.circles.push(P.circles[tt+2]),Q.circles.push(P.collisionDetected?1:0)}i.placements[e.crossTileID]=new xe(T||A,M||k,S||o.justReloaded),r[e.crossTileID]=!0}};if(T)for(var S=o.getSortedSymbolIndexes(this.transform.angle),E=S.length-1;E>=0;--E){var L=S[E];M(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C<e.symbolInstanceEnd;C++)M(o.symbolInstances.get(C),o.collisionArrays[C]);if(n&&o.bucketInstanceId in this.collisionCircleArrays){var P=this.collisionCircleArrays[o.bucketInstanceId];t.invert(P.invProjMatrix,l),P.viewportMatrix=this.collisionIndex.getViewportMatrix()}o.justReloaded=!1},ke.prototype.markUsedJustification=function(e,r,n,i){var a,o={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};a=i===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:o[t.getAnchorJustification(r)];for(var s=0,l=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];s<l.length;s+=1){var u=l[s];u>=0&&(e.text.placedSymbolArray.get(u).crossTileID=a>=0&&u!==a?0:n.crossTileID)}},ke.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1){var l=s[o];e.text.placedSymbolArray.get(l).placedOrientation=i}n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=a)},ke.prototype.commit=function(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;var e=this.prevPlacement,r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;var n=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],u=i[s];u?(this.opacities[s]=new me(u,n,l.text,l.icon),r=r||l.text!==u.text.placed||l.icon!==u.icon.placed):(this.opacities[s]=new me(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var c in i){var f=i[c];if(!this.opacities[c]){var h=new me(f,n,!1,!1);h.isHidden()||(this.opacities[c]=h,r=r||f.text.placed||f.icon.placed)}}for(var p in a)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=a[p]);for(var d in o)this.placedOrientations[d]||!this.opacities[d]||this.opacities[d].isHidden()||(this.placedOrientations[d]=o[d]);r?this.lastPlacementChangeTime=t:"number"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)},ke.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){var a=i[n],o=a.getBucket(t);o&&a.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,a.collisionBoxArray)}},ke.prototype.updateBucketOpacities=function(e,r,n){var i=this;e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexArray.clear(),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexArray.clear();var a=e.layers[0].layout,o=new me(null,0,!1,!1,!0),s=a.get("text-allow-overlap"),l=a.get("icon-allow-overlap"),u=a.get("text-variable-anchor"),c="map"===a.get("text-rotation-alignment"),f="map"===a.get("text-pitch-alignment"),h="none"!==a.get("icon-text-fit"),p=new me(null,0,s&&(l||!e.hasIconData()||a.get("icon-optional")),l&&(s||!e.hasTextData()||a.get("text-optional")),!0);!e.collisionArrays&&n&&(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData())&&e.deserializeCollisionBoxes(n);for(var d=function(t,e,r){for(var n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r)},v=function(n){var a=e.symbolInstances.get(n),s=a.numHorizontalGlyphVertices,l=a.numVerticalGlyphVertices,v=a.crossTileID,g=r[v],y=i.opacities[v];g?y=o:y||(y=p,i.opacities[v]=y),r[v]=!0;var m=s>0||l>0,x=a.numIconVertices>0,b=i.placedOrientations[a.crossTileID],_=b===t.WritingMode.vertical,w=b===t.WritingMode.horizontal||b===t.WritingMode.horizontalOnly;if(m){var T=De(y.text),A=_?ze:T;d(e.text,s,A);var k=w?ze:T;d(e.text,l,k);var M=y.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach(function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||_?1:0)}),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=M||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,b);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,"left",a,E),i.markUsedOrientation(e,E,a))}if(x){var L=De(y.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:ze;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=y.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var O=C?ze:L;d(e.icon,a.numVerticalIconVertices,O),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=y.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var I=e.collisionArrays[n];if(I){var D=new t.Point(0,0);if(I.textBox||I.verticalTextBox){var z=!0;if(u){var R=i.variableOffsets[v];R?(D=Te(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),c&&D._rotate(f?i.transform.angle:-i.transform.angle)):z=!1}I.textBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||_,D.x,D.y),I.verticalTextBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||w,D.x,D.y)}var F=Boolean(!w&&I.verticalIconBox);I.iconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,F,h?D.x:0,h?D.y:0),I.verticalIconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,!F,h?D.x:0,h?D.y:0)}}},g=0;g<e.symbolInstances.length;g++)v(g);if(e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexBuffer&&e.iconCollisionBox.collisionVertexBuffer.updateData(e.iconCollisionBox.collisionVertexArray),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexBuffer&&e.textCollisionBox.collisionVertexBuffer.updateData(e.textCollisionBox.collisionVertexArray),e.bucketInstanceId in this.collisionCircleArrays){var y=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=y.invProjMatrix,e.placementViewportMatrix=y.viewportMatrix,e.collisionCircleArray=y.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},ke.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},ke.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},ke.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},ke.prototype.stillRecent=function(t,e){var r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t},ke.prototype.setStale=function(){this.stale=!0};var Se=Math.pow(2,25),Ee=Math.pow(2,24),Le=Math.pow(2,17),Ce=Math.pow(2,16),Pe=Math.pow(2,9),Oe=Math.pow(2,8),Ie=Math.pow(2,1);function De(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*Se+e*Ee+r*Le+e*Ce+r*Pe+e*Oe+r*Ie+e}var ze=0,Re=function(t){this._sortAcrossTiles="viewport-y"!==t.layout.get("symbol-z-order")&&void 0!==t.layout.get("symbol-sort-key").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Re.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex<t.length;){var o=t[this._currentTileIndex];if(e.getBucketParts(a,n,o,this._sortAcrossTiles),this._currentTileIndex++,i())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,a.sort(function(t,e){return t.sortKey-e.sortKey}));this._currentPartIndex<a.length;){var s=a[this._currentPartIndex];if(e.placeLayerBucketPart(s,this._seenCrossTileIDs,r),this._currentPartIndex++,i())return!0}return!1};var Fe=function(t,e,r,n,i,a,o){this.placement=new ke(t,i,a,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};Fe.prototype.isDone=function(){return this._done},Fe.prototype.continuePlacement=function(e,r,n){for(var i=this,a=t.browser.now(),o=function(){var e=t.browser.now()-a;return!i._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if("symbol"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Re(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},Fe.prototype.commit=function(t){return this.placement.commit(t),this.placement};var Be=512/t.EXTENT/2,Ne=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var i=e.get(n),a=i.key;this.indexedSymbolInstances[a]||(this.indexedSymbolInstances[a]=[]),this.indexedSymbolInstances[a].push({crossTileID:i.crossTileID,coord:this.getScaledCoordinates(i,t)})}};Ne.prototype.getScaledCoordinates=function(e,r){var n=r.canonical.z-this.tileID.canonical.z,i=Be/Math.pow(2,n);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*i),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*i)}},Ne.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),i=0;i<t.length;i++){var a=t.get(i);if(!a.crossTileID){var o=this.indexedSymbolInstances[a.key];if(o)for(var s=this.getScaledCoordinates(a,e),l=0,u=o;l<u.length;l+=1){var c=u[l];if(Math.abs(c.coord.x-s.x)<=n&&Math.abs(c.coord.y-s.y)<=n&&!r[c.crossTileID]){r[c.crossTileID]=!0,a.crossTileID=c.crossTileID;break}}}}};var je=function(){this.maxCrossTileID=0};je.prototype.generate=function(){return++this.maxCrossTileID};var Ue=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Ue.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],i={};for(var a in n){var o=n[a];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),i[o.tileID.key]=o}this.indexes[r]=i}this.lng=t},Ue.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++)e.symbolInstances.get(n).crossTileID=0;this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var i=this.usedCrossTileIDs[t.overscaledZ];for(var a in this.indexes){var o=this.indexes[a];if(Number(a)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var u=o[t.scaledTo(Number(a)).key];u&&u.findMatches(e.symbolInstances,t,i)}}for(var c=0;c<e.symbolInstances.length;c++){var f=e.symbolInstances.get(c);f.crossTileID||(f.crossTileID=r.generate(),i[f.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new Ne(t,e.symbolInstances,e.bucketInstanceId),!0},Ue.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,i=e.indexedSymbolInstances[r];n<i.length;n+=1){var a=i[n];delete this.usedCrossTileIDs[t][a.crossTileID]}},Ue.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var i in n)t[n[i].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[i]),delete n[i],e=!0)}return e};var Ve=function(){this.layerIndexes={},this.crossTileIDs=new je,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Ve.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Ue);var i=!1,a={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],u=l.getBucket(t);u&&t.id===u.layerIds[0]&&(u.bucketInstanceId||(u.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,u,this.crossTileIDs)&&(i=!0),a[u.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i},Ve.prototype.pruneUnusedLayers=function(t){var e={};for(var r in t.forEach(function(t){e[t]=!0}),this.layerIndexes)e[r]||delete this.layerIndexes[r]};var He=function(e,r){return t.emitValidationErrors(e,r&&r.filter(function(t){return"source.canvas"!==t.identifier}))},qe=t.pick(Ht,["addLayer","removeLayer","setPaintProperty","setLayoutProperty","setFilter","addSource","removeSource","setLayerZoomRange","setLight","setTransition","setGeoJSONSourceData"]),Ge=t.pick(Ht,["setCenter","setZoom","setBearing","setPitch"]),Ye=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var i=t.styleSpec.$root[n];if(i.required){var a;null!=(a="version"===n?r:"array"===i.type?[]:{})&&(e[n]=a)}}return e}(),We=function(e){function r(n,i){var a=this;void 0===i&&(i={}),e.call(this),this.map=n,this.dispatcher=new k(jt(),this),this.imageManager=new h,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,i.localIdeographFontFamily),this.lineAtlas=new A(256,512),this.crossTileSymbolIndex=new Ve,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast("setReferrer",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginStateChange(function(e){var r={pluginStatus:e.pluginStatus,pluginURL:e.pluginURL};o.dispatcher.broadcast("syncRTLPluginState",r,function(e,r){if(t.triggerPluginCompletionEvent(e),r&&r.every(function(t){return t}))for(var n in o.sourceCaches)o.sourceCaches[n].reload()})}),this.on("data",function(t){if("source"===t.dataType&&"metadata"===t.sourceDataType){var e=a.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in a._layers){var i=a._layers[n];i.source===r.id&&a._validateLayer(i)}}}})}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event("dataloading",{dataType:"style"}));var i="boolean"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var a=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(a,function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,i)})},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event("dataloading",{dataType:"style"})),this._request=t.browser.frame(function(){n._request=null,n._load(e,!1!==r.validate)})},r.prototype.loadEmpty=function(){this.fire(new t.Event("dataloading",{dataType:"style"})),this._load(Ye,!1)},r.prototype._load=function(e,r){if(!r||!He(this,t.validateStyle(e))){for(var n in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(n,e.sources[n],{validate:!1});e.sprite?this._loadSprite(e.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var i=Vt(this.stylesheet.layers);this._order=i.map(function(t){return t.id}),this._layers={},this._serializedLayers={};for(var a=0,o=i;a<o.length;a+=1){var s=o[a];(s=t.createStyleLayer(s)).setEventedParent(this,{layer:{id:s.id}}),this._layers[s.id]=s,this._serializedLayers[s.id]=s.serialize()}this.dispatcher.broadcast("setLayers",this._serializeLayers(this._order)),this.light=new T(this.stylesheet.light),this.fire(new t.Event("data",{dataType:"style"})),this.fire(new t.Event("style.load"))}},r.prototype._loadSprite=function(e){var r=this;this._spriteRequest=function(e,r,n){var i,a,o,s=t.browser.devicePixelRatio>1?"@2x":"",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,".json"),t.ResourceType.SpriteJSON),function(t,e){l=null,o||(o=t,i=e,c())}),u=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,".png"),t.ResourceType.SpriteImage),function(t,e){u=null,o||(o=t,a=e,c())});function c(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],u=l.width,c=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,v=l.stretchX,g=l.stretchY,y=l.content,m=new t.RGBAImage({width:u,height:c});t.RGBAImage.copy(e,m,{x:f,y:h},{x:0,y:0},{width:u,height:c}),r[s]={data:m,pixelRatio:d,sdf:p,stretchX:v,stretchY:g,content:y}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),u&&(u.cancel(),u=null)}}}(e,this.map._requestManager,function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast("setImages",r._availableImages),r.fire(new t.Event("data",{dataType:"style"}))})},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();("geojson"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer "'+n+'" does not exist on source "'+i.id+'" as specified by style layer "'+e.id+'"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=this._layers[i];"custom"!==a.type&&e.push(a.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error("Style is not done loading")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),i=Object.keys(this._removedLayers);for(var a in(n.length||i.length)&&this._updateWorkerLayers(n,i),this._updatedSources){var o=this._updatedSources[a];"reload"===o?this._reloadSource(a):"clear"===o&&this._clearSource(a)}for(var s in this._updateTilesForChangedImages(),this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}for(var l in this.sourceCaches)this.sourceCaches[l].used=!1;for(var u=0,c=this._order;u<c.length;u+=1){var f=c[u],h=this._layers[f];h.recalculate(e,this._availableImages),!h.isHidden(e.zoom)&&h.source&&(this.sourceCaches[h.source].used=!0)}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event("data",{dataType:"style"}))}},r.prototype._updateTilesForChangedImages=function(){var t=Object.keys(this._changedImages);if(t.length){for(var e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies(["icons","patterns"],t);this._changedImages={}}},r.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast("updateLayers",{layers:this._serializeLayers(t),removedIds:e})},r.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),He(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=Vt(e.layers);var n=Kt(this.serialize(),e).filter(function(t){return!(t.command in Ge)});if(0===n.length)return!1;var i=n.filter(function(t){return!(t.command in qe)});if(i.length>0)throw new Error("Unimplemented: "+i.map(function(t){return t.command}).join(", ")+".");return n.forEach(function(t){"setTransition"!==t.command&&r[t.command].apply(r,t.args)}),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error("An image with this name already exists.")));this.imageManager.addImage(e,r),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event("data",{dataType:"style"}))},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error("No image with this name exists.")));this.imageManager.removeImage(e),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event("data",{dataType:"style"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error("There is already a source with this ID");if(!r.type)throw new Error("The type property must be defined, but the only the following properties were given: "+Object.keys(r).join(", ")+".");if(!(["vector","raster","geojson","video","image"].indexOf(r.type)>=0&&this._validate(t.validateStyle.source,"sources."+e,r,null,n))){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Ot(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}}),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error("There is no source with this ID");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source "'+e+'" cannot be removed while layer "'+r+'" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event("data",{sourceDataType:"metadata",dataType:"source",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id "'+i+'" already exists on this map')));else{var a;if("custom"===e.type){if(He(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if("object"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,"layers."+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id "'+r+'" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&"custom"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]="clear":(this._updatedSources[a.source]="reload",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id "'+r+'" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be moved.")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be removed.")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot have zoom extent.")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,"layers."+i.id+".filter",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be filtered.")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be styled.")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style.")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be styled.")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;"geojson"===o&&i?this.fire(new t.ErrorEvent(new Error("GeoJSON sources cannot have a sourceLayer parameter."))):"vector"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error("The feature id parameter must be provided."))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+n+"' does not exist in the map's style.")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o="vector"===a?e.sourceLayer:void 0;"vector"!==a||o?r&&"string"!=typeof e.id&&"number"!=typeof e.id?this.fire(new t.ErrorEvent(new Error("A feature id is requred to remove its specific state property."))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+n+"' does not exist in the map's style.")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if("vector"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error("The feature id parameter must be provided."))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+r+"' does not exist in the map's style.")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,function(t){return t.serialize()}),layers:this._serializeLayers(this._order)},function(t){return void 0!==t})},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&"raster"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]="reload",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return"fill-extrusion"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s<l.length;s+=1){var u=l[s][o];if(u)for(var c=0,f=u;c<f.length;c+=1){var h=f[c];i.push(h)}}}}i.sort(function(t,e){return e.intersectionZ-t.intersectionZ});for(var p=[],d=this._order.length-1;d>=0;d--){var v=this._order[d];if(r(v))for(var g=i.length-1;g>=0;g--){var y=i[g].feature;if(n[y.layer.id]<d)break;p.push(y),i.pop()}else for(var m=0,x=t;m<x.length;m+=1){var b=x[m][v];if(b)for(var _=0,w=b;_<w.length;_+=1){var T=w[_];p.push(T.feature)}}}return p},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,"queryRenderedFeatures.filter",r.filter,null,r);var i={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new t.ErrorEvent(new Error("parameters.layers must be an Array."))),[];for(var a=0,o=r.layers;a<o.length;a+=1){var s=o[a],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error("The layer '"+s+"' does not exist in the map's style and cannot be queried for features."))),[];i[l.source]=!0}}var u=[];for(var c in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!i[c]||u.push(B(this.sourceCaches[c],this._layers,this._serializedLayers,e,r,n));return this.placement&&u.push(function(t,e,r,n,i,a,o){for(var s={},l=a.queryRenderedSymbols(n),u=[],c=0,f=Object.keys(l).map(Number);c<f.length;c+=1){var h=f[c];u.push(o[h])}u.sort(N);for(var p=function(){var r=v[d],n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,i.filter,i.layers,i.availableImages,t);for(var a in n){var o=s[a]=s[a]||[],u=n[a];u.sort(function(t,e){var n=r.featureSortOrder;if(n){var i=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-i}return e.featureIndex-t.featureIndex});for(var c=0,f=u;c<f.length;c+=1){var h=f[c];o.push(h)}}},d=0,v=u;d<v.length;d+=1)p();var g=function(e){s[e].forEach(function(n){var i=n.feature,a=t[e],o=r[a.source].getFeatureState(i.layer["source-layer"],i.id);i.source=i.layer.source,i.layer["source-layer"]&&(i.sourceLayer=i.layer["source-layer"]),i.state=o})};for(var y in s)g(y);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(u)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,"querySourceFeatures.filter",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map(function(e){return t.getTileByID(e)}),n=[],i={},a=0;a<r.length;a++){var o=r[a],s=o.tileID.canonical.key;i[s]||(i[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called "'+t+'" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast("loadWorkerSource",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),i=!1;for(var a in e)if(!t.deepEqual(e[a],n[a])){i=!0;break}if(i){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,i,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&He(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},i)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off("pluginStateChange",this._rtlTextPluginCallback),this._layers)this._layers[e].setEventedParent(null);for(var r in this.sourceCaches)this.sourceCaches[r].clearTiles(),this.sourceCaches[r].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,i,a){void 0===a&&(a=!1);for(var o=!1,s=!1,l={},u=0,c=this._order;u<c.length;u+=1){var f=c[u],h=this._layers[f];if("symbol"===h.type){if(!l[h.source]){var p=this.sourceCaches[h.source];l[h.source]=p.getRenderableIds(!0).map(function(t){return p.getTileByID(t)}).sort(function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)})}var d=this.crossTileSymbolIndex.addLayer(h,l[h.source],e.center.lng);o=o||d}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((a=a||this._layerOrderChanged||0===n)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now(),e.zoom))&&(this.pauseablePlacement=new Fe(e,this._order,a,r,n,i,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(var v=0,g=this._order;v<g.length;v+=1){var y=g[v],m=this._layers[y];"symbol"===m.type&&this.placement.updateLayerOpacities(m,l[m.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(t.browser.now())},r.prototype._releaseSymbolFadeTiles=function(){for(var t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()},r.prototype.getImages=function(t,e,r){this.imageManager.getImages(e.icons,r),this._updateTilesForChangedImages();var n=this.sourceCaches[e.source];n&&n.setDependencies(e.tileID.key,e.type,e.icons)},r.prototype.getGlyphs=function(t,e,r){this.glyphManager.getGlyphs(e.stacks,r)},r.prototype.getResource=function(e,r,n){return t.makeRequest(r,n)},r}(t.Evented);We.getSourceType=function(t){return R[t]},We.setSourceType=function(t,e){R[t]=e},We.registerForPluginStateChange=t.registerForPluginStateChange;var Ze=t.createLayout([{name:"a_pos",type:"Int16",components:2}]),Xe=_r("#ifdef GL_ES\nprecision mediump float;\n#else\n#if !defined(lowp)\n#define lowp\n#endif\n#if !defined(mediump)\n#define mediump\n#endif\n#if !defined(highp)\n#define highp\n#endif\n#endif","#ifdef GL_ES\nprecision highp float;\n#else\n#if !defined(lowp)\n#define lowp\n#endif\n#if !defined(mediump)\n#define mediump\n#endif\n#if !defined(highp)\n#define highp\n#endif\n#endif\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}"),Je=_r("uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}"),Ke=_r("uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}"),$e=_r("varying vec3 v_data;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define mediump float radius\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define highp vec4 stroke_color\n#pragma mapbox: define mediump float stroke_width\n#pragma mapbox: define lowp float stroke_opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize mediump float radius\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize highp vec4 stroke_color\n#pragma mapbox: initialize mediump float stroke_width\n#pragma mapbox: initialize lowp float stroke_opacity\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define mediump float radius\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define highp vec4 stroke_color\n#pragma mapbox: define mediump float stroke_width\n#pragma mapbox: define lowp float stroke_opacity\nvoid main(void) {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize mediump float radius\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize highp vec4 stroke_color\n#pragma mapbox: initialize mediump float stroke_width\n#pragma mapbox: initialize lowp float stroke_opacity\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}"),Qe=_r("void main() {gl_FragColor=vec4(1.0);}","attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}"),tr=_r("uniform highp float u_intensity;varying vec2 v_extrude;\n#pragma mapbox: define highp float weight\n#define GAUSS_COEF 0.3989422804014327\nvoid main() {\n#pragma mapbox: initialize highp float weight\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\n#pragma mapbox: define highp float weight\n#pragma mapbox: define mediump float radius\nconst highp float ZERO=1.0/255.0/16.0;\n#define GAUSS_COEF 0.3989422804014327\nvoid main(void) {\n#pragma mapbox: initialize highp float weight\n#pragma mapbox: initialize mediump float radius\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}"),er=_r("uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(0.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}"),rr=_r("varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}","attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}"),nr=_r("varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}","attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}"),ir=_r("uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}","attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}"),ar=_r("#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float opacity\ngl_FragColor=color*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","attribute vec2 a_pos;uniform mat4 u_matrix;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float opacity\ngl_Position=u_matrix*vec4(a_pos,0,1);}"),or=_r("varying vec2 v_pos;\n#pragma mapbox: define highp vec4 outline_color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 outline_color\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\n#pragma mapbox: define highp vec4 outline_color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 outline_color\n#pragma mapbox: initialize lowp float opacity\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}"),sr=_r("uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}"),lr=_r("uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}"),ur=_r("varying vec4 v_color;void main() {gl_FragColor=v_color;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\n#pragma mapbox: define highp float base\n#pragma mapbox: define highp float height\n#pragma mapbox: define highp vec4 color\nvoid main() {\n#pragma mapbox: initialize highp float base\n#pragma mapbox: initialize highp float height\n#pragma mapbox: initialize highp vec4 color\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}"),cr=_r("uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n#pragma mapbox: define lowp float base\n#pragma mapbox: define lowp float height\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float base\n#pragma mapbox: initialize lowp float height\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n#pragma mapbox: define lowp float base\n#pragma mapbox: define lowp float height\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float base\n#pragma mapbox: initialize lowp float height\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\n? a_pos\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}"),fr=_r("#ifdef GL_ES\nprecision highp float;\n#endif\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform float u_maxzoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggeration=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/ pow(2.0,(u_zoom-u_maxzoom)*exaggeration+19.2562-u_zoom);gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}"),hr=_r("uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\n#define PI 3.141592653589793\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}"),pr=_r("uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}"),dr=_r("uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp float v_lineprogress;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,vec2(v_lineprogress,0.5));gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define MAX_LINE_DISTANCE 32767.0\n#define scale 0.015873016\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_lineprogress;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_lineprogress=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0/MAX_LINE_DISTANCE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}"),vr=_r("uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\n#define LINE_DISTANCE_SCALE 2.0\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}"),gr=_r("uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\n#define LINE_DISTANCE_SCALE 2.0\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}"),yr=_r("uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}"),mr=_r("uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}"),xr=_r("#define SDF_PX 8.0\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}"),br=_r("#define SDF_PX 8.0\n#define SDF 1.0\n#define ICON 0.0\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}");function _r(t,e){var r=/#pragma mapbox: ([\w]+) ([\w]+) ([\w]+) ([\w]+)/g,n={};return{fragmentSource:t=t.replace(r,function(t,e,r,i,a){return n[a]=!0,"define"===e?"\n#ifndef HAS_UNIFORM_u_"+a+"\nvarying "+r+" "+i+" "+a+";\n#else\nuniform "+r+" "+i+" u_"+a+";\n#endif\n":"\n#ifdef HAS_UNIFORM_u_"+a+"\n    "+r+" "+i+" "+a+" = u_"+a+";\n#endif\n"}),vertexSource:e=e.replace(r,function(t,e,r,i,a){var o="float"===i?"vec2":"vec4",s=a.match(/color/)?"color":o;return n[a]?"define"===e?"\n#ifndef HAS_UNIFORM_u_"+a+"\nuniform lowp float u_"+a+"_t;\nattribute "+r+" "+o+" a_"+a+";\nvarying "+r+" "+i+" "+a+";\n#else\nuniform "+r+" "+i+" u_"+a+";\n#endif\n":"vec4"===s?"\n#ifndef HAS_UNIFORM_u_"+a+"\n    "+a+" = a_"+a+";\n#else\n    "+r+" "+i+" "+a+" = u_"+a+";\n#endif\n":"\n#ifndef HAS_UNIFORM_u_"+a+"\n    "+a+" = unpack_mix_"+s+"(a_"+a+", u_"+a+"_t);\n#else\n    "+r+" "+i+" "+a+" = u_"+a+";\n#endif\n":"define"===e?"\n#ifndef HAS_UNIFORM_u_"+a+"\nuniform lowp float u_"+a+"_t;\nattribute "+r+" "+o+" a_"+a+";\n#else\nuniform "+r+" "+i+" u_"+a+";\n#endif\n":"vec4"===s?"\n#ifndef HAS_UNIFORM_u_"+a+"\n    "+r+" "+i+" "+a+" = a_"+a+";\n#else\n    "+r+" "+i+" "+a+" = u_"+a+";\n#endif\n":"\n#ifndef HAS_UNIFORM_u_"+a+"\n    "+r+" "+i+" "+a+" = unpack_mix_"+s+"(a_"+a+", u_"+a+"_t);\n#else\n    "+r+" "+i+" "+a+" = u_"+a+";\n#endif\n"})}}var wr=Object.freeze({__proto__:null,prelude:Xe,background:Je,backgroundPattern:Ke,circle:$e,clippingMask:Qe,heatmap:tr,heatmapTexture:er,collisionBox:rr,collisionCircle:nr,debug:ir,fill:ar,fillOutline:or,fillOutlinePattern:sr,fillPattern:lr,fillExtrusion:ur,fillExtrusionPattern:cr,hillshadePrepare:fr,hillshade:hr,line:pr,lineGradient:dr,linePattern:vr,lineSDF:gr,raster:yr,symbolIcon:mr,symbolSDF:xr,symbolTextAndIcon:br}),Tr=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};Tr.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,u=0;!l&&u<n.length;u++)this.boundPaintVertexBuffers[u]!==n[u]&&(l=!0);var c=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||l||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||c?this.freshBind(e,r,n,i,a,o,s):(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind())},Tr.prototype.freshBind=function(t,e,r,n,i,a,o){var s,l=t.numAttributes,u=this.context,c=u.gl;if(u.extVertexArrayObject)this.vao&&this.destroy(),this.vao=u.extVertexArrayObject.createVertexArrayOES(),u.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=i,this.boundDynamicVertexBuffer=a,this.boundDynamicVertexBuffer2=o;else{s=u.currentNumAttributes||0;for(var f=l;f<s;f++)c.disableVertexAttribArray(f)}e.enableAttributes(c,t);for(var h=0,p=r;h<p.length;h+=1)p[h].enableAttributes(c,t);a&&a.enableAttributes(c,t),o&&o.enableAttributes(c,t),e.bind(),e.setVertexAttribPointers(c,t,i);for(var d=0,v=r;d<v.length;d+=1){var g=v[d];g.bind(),g.setVertexAttribPointers(c,t,i)}a&&(a.bind(),a.setVertexAttribPointers(c,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(c,t,i)),u.currentNumAttributes=l},Tr.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var Ar=function(t,e,r,n,i){var a=t.gl;this.program=a.createProgram();var o=r?r.defines():[];i&&o.push("#define OVERDRAW_INSPECTOR;");var s=o.concat(Xe.fragmentSource,e.fragmentSource).join("\n"),l=o.concat(Xe.vertexSource,e.vertexSource).join("\n"),u=a.createShader(a.FRAGMENT_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(u,s),a.compileShader(u),a.attachShader(this.program,u);var c=a.createShader(a.VERTEX_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(c,l),a.compileShader(c),a.attachShader(this.program,c);for(var f=r?r.layoutAttributes:[],h=0;h<f.length;h++)a.bindAttribLocation(this.program,h,f[h].name);a.linkProgram(this.program),a.deleteShader(c),a.deleteShader(u),this.numAttributes=a.getProgramParameter(this.program,a.ACTIVE_ATTRIBUTES),this.attributes={};for(var p={},d=0;d<this.numAttributes;d++){var v=a.getActiveAttrib(this.program,d);v&&(this.attributes[v.name]=a.getAttribLocation(this.program,v.name))}for(var g=a.getProgramParameter(this.program,a.ACTIVE_UNIFORMS),y=0;y<g;y++){var m=a.getActiveUniform(this.program,y);m&&(p[m.name]=a.getUniformLocation(this.program,m.name))}this.fixedUniforms=n(t,p),this.binderUniforms=r?r.getUniforms(t,p):[]}}};function kr(t,e,r){var n=1/ge(r,1,e.transform.tileZoom),i=Math.pow(2,r.tileID.overscaledZ),a=r.tileSize*Math.pow(2,e.transform.tileZoom)/i,o=a*(r.tileID.canonical.x+r.tileID.wrap*i),s=a*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}Ar.prototype.draw=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=t.gl;if(!this.failedToCreate){for(var m in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[m].set(o[m]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(g={},g[y.LINES]=2,g[y.TRIANGLES]=3,g[y.LINE_STRIP]=1,g)[e],b=0,_=c.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new Tr)).bind(t,this,l,p?p.getPaintVertexBuffers():[],u,w.vertexOffset,d,v),y.drawElements(e,w.primitiveLength*x,y.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Mr=function(e,r,n,i){var a=r.style.light,o=a.properties.get("position"),s=[o.x,o.y,o.z],l=t.create$1();"viewport"===a.properties.get("anchor")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var u=a.properties.get("color");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get("intensity"),u_lightcolor:[u.r,u.g,u.b],u_vertical_gradient:+n,u_opacity:i}},Sr=function(e,r,n,i,a,o,s){return t.extend(Mr(e,r,n,i),kr(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Er=function(t){return{u_matrix:t}},Lr=function(e,r,n,i){return t.extend(Er(e),kr(n,r,i))},Cr=function(t,e){return{u_matrix:t,u_world:e}},Pr=function(e,r,n,i,a){return t.extend(Lr(e,r,n,i),{u_world:a})},Or=function(e,r,n,i){var a,o,s=e.transform;if("map"===i.paint.get("circle-pitch-alignment")){var l=ge(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+("map"===i.paint.get("circle-pitch-scale")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get("circle-translate"),i.paint.get("circle-translate-anchor")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Ir=function(t,e,r){var n=ge(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},Dr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},zr=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Rr=function(t){return{u_matrix:t}},Fr=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:ge(e,1,r),u_intensity:n}};var Br=function(e,r,n){var i=e.transform;return{u_matrix:Hr(e,r,n),u_ratio:1/ge(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},Nr=function(e,r,n){return t.extend(Br(e,r,n),{u_image:0})},jr=function(e,r,n,i){var a=e.transform,o=Vr(r,a);return{u_matrix:Hr(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/ge(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Ur=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=Vr(r,o),u="round"===n.layout.get("line-cap"),c=s.getDash(i.from,u),f=s.getDash(i.to,u),h=c.width*a.fromScale,p=f.width*a.toScale;return t.extend(Br(e,r,n),{u_patternscale_a:[l/h,-c.height/2],u_patternscale_b:[l/p,-f.height/2],u_sdfgamma:s.width/(256*Math.min(h,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:c.y,u_tex_y_b:f.y,u_mix:a.t})};function Vr(t,e){return 1/ge(t,1,e.tileZoom)}function Hr(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get("line-translate"),r.paint.get("line-translate-anchor"))}var qr=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get("raster-opacity"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get("raster-brightness-min"),u_brightness_high:i.paint.get("raster-brightness-max"),u_saturation_factor:(o=i.paint.get("raster-saturation"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get("raster-contrast"),a>0?1/(1-a):1+a),u_spin_weights:Gr(i.paint.get("raster-hue-rotate"))};var a,o};function Gr(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var Yr,Wr=function(t,e,r,n,i,a,o,s,l,u){var c=i.transform;return{u_is_size_zoom_constant:+("constant"===t||"source"===t),u_is_size_feature_constant:+("constant"===t||"camera"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:c.cameraToCenterDistance,u_pitch:c.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:c.width/c.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:u,u_texture:0}},Zr=function(e,r,n,i,a,o,s,l,u,c,f){var h=a.transform;return t.extend(Wr(e,r,n,i,a,o,s,l,u,c),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},Xr=function(e,r,n,i,a,o,s,l,u,c){return t.extend(Zr(e,r,n,i,a,o,s,l,!0,u,!0),{u_texsize_icon:c,u_texture_icon:1})},Jr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},Kr=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,u=Math.pow(2,n.tileID.overscaledZ),c=n.tileSize*Math.pow(2,r.transform.tileZoom)/u,f=c*(n.tileID.canonical.x+n.tileID.wrap*u),h=c*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/ge(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},$r={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_maxzoom:new t.Uniform1f(e,r.u_maxzoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function Qr(e,r,n,i,a,o,s){for(var l=e.context,u=l.gl,c=e.useProgram("collisionBox"),f=[],h=0,p=0,d=0;d<i.length;d++){var v=i[d],g=r.getTile(v),y=g.getBucket(n);if(y){var m=v.posMatrix;0===a[0]&&0===a[1]||(m=e.translatePosMatrix(v.posMatrix,g,a,o));var x=s?y.textCollisionBox:y.iconCollisionBox,b=y.collisionCircleArray;if(b.length>0){var _=t.create(),w=m;t.mul(_,y.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,y.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&c.draw(l,u.LINES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,Ir(m,e.transform,g),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram("collisionCircle"),A=new t.StructArrayLayout2f1f2i16;A.resize(4*h),A._trim();for(var k=0,M=0,S=f;M<S.length;M+=1)for(var E=S[M],L=0;L<E.circleArray.length/4;L++){var C=4*L,P=E.circleArray[C+0],O=E.circleArray[C+1],I=E.circleArray[C+2],D=E.circleArray[C+3];A.emplace(k++,P,O,I,D,0),A.emplace(k++,P,O,I,D,1),A.emplace(k++,P,O,I,D,2),A.emplace(k++,P,O,I,D,3)}(!Yr||Yr.length<2*h)&&(Yr=function(e){var r=2*e,n=new t.StructArrayLayout3ui6;n.resize(r),n._trim();for(var i=0;i<r;i++){var a=6*i;n.uint16[a+0]=4*i+0,n.uint16[a+1]=4*i+1,n.uint16[a+2]=4*i+2,n.uint16[a+3]=4*i+2,n.uint16[a+4]=4*i+3,n.uint16[a+5]=4*i+0}return n}(h));for(var z=l.createIndexBuffer(Yr,!0),R=l.createVertexBuffer(A,t.collisionCircleLayout.members,!0),F=0,B=f;F<B.length;F+=1){var N=B[F],j=Dr(N.transform,N.invTransform,e.transform);T.draw(l,u.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,j,n.id,R,z,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),z.destroy()}}var tn=t.identity(new Float32Array(16));function en(e,r,n,i,a,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,u=-(s.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,i);return new t.Point((l/a+c[0])*o,(u/a+c[1])*o)}function rn(e,r,n,i,a,o,s,l,u,c,f){var h=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,v={};p.clear();for(var g=0;g<h.length;g++){var y=h.get(g),m=e.allowVerticalPlacement&&!y.placedOrientation,x=y.hidden||!y.crossTileID||m?null:i[y.crossTileID];if(x){var b=new t.Point(y.anchorX,y.anchorY),_=re(b,n?l:s),w=ne(o.cameraToCenterDistance,_.signedDistanceFromCamera),T=a.evaluateSizeForFeature(e.textSizeData,c,y)*w/t.ONE_EM;n&&(T*=e.tilePixelRatio/u);for(var A=x.width,k=x.height,M=en(x.anchor,A,k,x.textOffset,x.textBoxScale,T),S=n?re(b.add(M),s).point:_.point.add(r?M.rotate(-o.angle):M),E=e.allowVerticalPlacement&&y.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,L=0;L<y.numGlyphs;L++)t.addDynamicAttributes(p,S,E);f&&y.associatedIconIndex>=0&&(v[y.associatedIconIndex]={shiftedAnchor:S,angle:E})}else he(y.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P<C.length;P++){var O=C.get(P);if(O.hidden)he(O.numGlyphs,d);else{var I=v[P];if(I)for(var D=0;D<O.numGlyphs;D++)t.addDynamicAttributes(d,I.shiftedAnchor,I.angle);else he(O.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function nn(t,e,r){return r.iconsInText&&e?"symbolTextAndIcon":t?"symbolSDF":"symbolIcon"}function an(e,r,n,i,a,o,s,l,u,c,f,h){for(var p=e.context,d=p.gl,v=e.transform,g="map"===l,y="map"===u,m=g&&"point"!==n.layout.get("symbol-placement"),x=g&&!y&&!m,b=void 0!==n.layout.get("symbol-sort-key").constantOr(1),_=e.depthModeForSublayer(0,Mt.ReadOnly),w=n.layout.get("text-variable-anchor"),T=[],A=0,k=i;A<k.length;A+=1){var M=k[A],S=r.getTile(M),E=S.getBucket(n);if(E){var L=a?E.text:E.icon;if(L&&L.segments.get().length){var C=L.programConfigurations.get(n.id),P=a||E.sdfIcons,O=a?E.textSizeData:E.iconSizeData,I=y||0!==v.pitch,D=e.useProgram(nn(P,a,E),C),z=t.evaluateSizeForZoom(O,v.zoom),R=void 0,F=[0,0],B=void 0,N=void 0,j=null,U=void 0;if(a){if(B=S.glyphAtlasTexture,N=d.LINEAR,R=S.glyphAtlasTexture.size,E.iconsInText){F=S.imageAtlasTexture.size,j=S.imageAtlasTexture;var 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rt=et[tt];T.push({segments:new t.SegmentVector([rt]),sortKey:rt.sortKey,state:Q})}else T.push({segments:L.segments,sortKey:0,state:Q})}}}b&&T.sort(function(t,e){return t.sortKey-e.sortKey});for(var nt=0,it=T;nt<it.length;nt+=1){var at=it[nt],ot=at.state;if(p.activeTexture.set(d.TEXTURE0),ot.atlasTexture.bind(ot.atlasInterpolation,d.CLAMP_TO_EDGE),ot.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),ot.atlasTextureIcon&&ot.atlasTextureIcon.bind(ot.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),ot.isSDF){var st=ot.uniformValues;ot.hasHalo&&(st.u_is_halo=1,on(ot.buffers,at.segments,n,e,ot.program,_,f,h,st)),st.u_is_halo=0}on(ot.buffers,at.segments,n,e,ot.program,_,f,h,ot.uniformValues)}}function on(t,e,r,n,i,a,o,s,l){var u=n.context,c=u.gl;i.draw(u,c.TRIANGLES,a,o,s,Ct.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function sn(t,e,r,n,i,a,o){var s,l,u,c,f,h=t.context.gl,p=r.paint.get("fill-pattern"),d=p&&p.constantOr(1),v=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty("fill-outline-color")?"fillOutlinePattern":"fillOutline",s=h.LINES):(l=d?"fillPattern":"fill",s=h.TRIANGLES);for(var g=0,y=n;g<y.length;g+=1){var m=y[g],x=e.getTile(m);if(!d||x.patternsLoaded()){var b=x.getBucket(r);if(b){var _=b.programConfigurations.get(r.id),w=t.useProgram(l,_);d&&(t.context.activeTexture.set(h.TEXTURE0),x.imageAtlasTexture.bind(h.LINEAR,h.CLAMP_TO_EDGE),_.updatePaintBuffers(v));var T=p.constantOr(null);if(T&&x.imageAtlas){var A=x.imageAtlas,k=A.patternPositions[T.to.toString()],M=A.patternPositions[T.from.toString()];k&&M&&_.setConstantPatternPositions(k,M)}var S=t.translatePosMatrix(m.posMatrix,x,r.paint.get("fill-translate"),r.paint.get("fill-translate-anchor"));if(o){c=b.indexBuffer2,f=b.segments2;var E=[h.drawingBufferWidth,h.drawingBufferHeight];u="fillOutlinePattern"===l&&d?Pr(S,t,v,x,E):Cr(S,E)}else c=b.indexBuffer,f=b.segments,u=d?Lr(S,t,v,x):Er(S);w.draw(t.context,s,i,t.stencilModeForClipping(m),a,Ct.disabled,u,r.id,b.layoutVertexBuffer,c,f,r.paint,t.transform.zoom,_)}}}}function ln(t,e,r,n,i,a,o){for(var s=t.context,l=s.gl,u=r.paint.get("fill-extrusion-pattern"),c=u.constantOr(1),f=r.getCrossfadeParameters(),h=r.paint.get("fill-extrusion-opacity"),p=0,d=n;p<d.length;p+=1){var v=d[p],g=e.getTile(v),y=g.getBucket(r);if(y){var m=y.programConfigurations.get(r.id),x=t.useProgram(c?"fillExtrusionPattern":"fillExtrusion",m);c&&(t.context.activeTexture.set(l.TEXTURE0),g.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),m.updatePaintBuffers(f));var b=u.constantOr(null);if(b&&g.imageAtlas){var _=g.imageAtlas,w=_.patternPositions[b.to.toString()],T=_.patternPositions[b.from.toString()];w&&T&&m.setConstantPatternPositions(w,T)}var A=t.translatePosMatrix(v.posMatrix,g,r.paint.get("fill-extrusion-translate"),r.paint.get("fill-extrusion-translate-anchor")),k=r.paint.get("fill-extrusion-vertical-gradient"),M=c?Sr(A,t,k,h,v,f,g):Mr(A,t,k,h);x.draw(s,s.gl.TRIANGLES,i,a,o,Ct.backCCW,M,r.id,y.layoutVertexBuffer,y.indexBuffer,y.segments,r.paint,t.transform.zoom,m)}}}function un(e,r,n,i,a,o){var s=e.context,l=s.gl,u=r.fbo;if(u){var c=e.useProgram("hillshade");s.activeTexture.set(l.TEXTURE0),l.bindTexture(l.TEXTURE_2D,u.colorAttachment.get());var f=function(e,r,n){var i=n.paint.get("hillshade-shadow-color"),a=n.paint.get("hillshade-highlight-color"),o=n.paint.get("hillshade-accent-color"),s=n.paint.get("hillshade-illumination-direction")*(Math.PI/180);"viewport"===n.paint.get("hillshade-illumination-anchor")&&(s-=e.transform.angle);var l,u,c,f=!e.options.moving;return{u_matrix:e.transform.calculatePosMatrix(r.tileID.toUnwrapped(),f),u_image:0,u_latrange:(l=r.tileID,u=Math.pow(2,l.canonical.z),c=l.canonical.y,[new t.MercatorCoordinate(0,c/u).toLngLat().lat,new t.MercatorCoordinate(0,(c+1)/u).toLngLat().lat]),u_light:[n.paint.get("hillshade-exaggeration"),s],u_shadow:i,u_highlight:a,u_accent:o}}(e,r,n);c.draw(s,l.TRIANGLES,i,a,o,Ct.disabled,f,n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments)}}function cn(e,r,n,i,a,o,s){var l=e.context,u=l.gl,c=r.dem;if(c&&c.data){var f=c.dim,h=c.stride,p=c.getPixels();if(l.activeTexture.set(u.TEXTURE1),l.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(h),r.demTexture){var d=r.demTexture;d.update(p,{premultiply:!1}),d.bind(u.NEAREST,u.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(l,p,u.RGBA,{premultiply:!1}),r.demTexture.bind(u.NEAREST,u.CLAMP_TO_EDGE);l.activeTexture.set(u.TEXTURE0);var v=r.fbo;if(!v){var g=new t.Texture(l,{width:f,height:f,data:null},u.RGBA);g.bind(u.LINEAR,u.CLAMP_TO_EDGE),(v=r.fbo=l.createFramebuffer(f,f,!0)).colorAttachment.set(g.texture)}l.bindFramebuffer.set(v.framebuffer),l.viewport.set([0,0,f,f]),e.useProgram("hillshadePrepare").draw(l,u.TRIANGLES,a,o,s,Ct.disabled,function(e,r,n){var i=r.stride,a=t.create();return t.ortho(a,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(a,a,[0,-t.EXTENT,0]),{u_matrix:a,u_image:1,u_dimension:[i,i],u_zoom:e.overscaledZ,u_maxzoom:n,u_unpack:r.getUnpackVector()}}(r.tileID,c,i),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function fn(e,r,n,i,a){var o=i.paint.get("raster-fade-duration");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,u=r?(s-r.timeAdded)/o:-1,c=n.getSource(),f=a.coveringZoomLevel({tileSize:c.tileSize,roundZoom:c.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-u,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var hn=new t.Color(1,0,0,1),pn=new t.Color(0,1,0,1),dn=new t.Color(0,0,1,1),vn=new t.Color(1,0,1,1),gn=new t.Color(0,1,1,1);function yn(t){var e=t.transform.padding;mn(t,t.transform.height-(e.top||0),3,hn),mn(t,e.bottom||0,3,pn),xn(t,e.left||0,3,dn),xn(t,t.transform.width-(e.right||0),3,vn);var r=t.transform.centerPoint;!function(t,e,r,n){var i=20,a=2;bn(t,e-a/2,r-i/2,a,i,n),bn(t,e-i/2,r-a/2,i,a,n)}(t,r.x,t.transform.height-r.y,gn)}function mn(t,e,r,n){bn(t,0,e+r/2,t.transform.width,r,n)}function xn(t,e,r,n){bn(t,e-r/2,0,r,t.transform.height,n)}function bn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function _n(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram("debug"),l=Mt.disabled,u=Et.disabled,c=e.colorModeForRenderPass(),f="$debug";i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,u,c,Ct.disabled,zr(o,t.Color.red),f,e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var h=r.getTileByID(n.key).latestRawTileData,p=h&&h.byteLength||0,d=Math.floor(p/1024),v=r.getTile(n).tileSize,g=512/Math.min(v,512)*(n.overscaledZ/e.transform.zoom)*.5,y=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(y+=" => "+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext("2d");i.clearRect(0,0,r.width,r.height),i.shadowColor="white",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle="white",i.textBaseline="top",i.font="bold 36px Open Sans, sans-serif",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,y+" 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_=Math.pow(2,l.zoom-d.tileID.overscaledZ);rn(v,u,c,s,t.symbolSize,l,x,p.posMatrix,_,y,b)}}}}(i,e,n,r,n.layout.get("text-rotation-alignment"),n.layout.get("text-pitch-alignment"),a),0!==n.paint.get("icon-opacity").constantOr(1)&&an(e,r,n,i,!1,n.paint.get("icon-translate"),n.paint.get("icon-translate-anchor"),n.layout.get("icon-rotation-alignment"),n.layout.get("icon-pitch-alignment"),n.layout.get("icon-keep-upright"),o,s),0!==n.paint.get("text-opacity").constantOr(1)&&an(e,r,n,i,!0,n.paint.get("text-translate"),n.paint.get("text-translate-anchor"),n.layout.get("text-rotation-alignment"),n.layout.get("text-pitch-alignment"),n.layout.get("text-keep-upright"),o,s),r.map.showCollisionBoxes&&(Qr(e,r,n,i,n.paint.get("text-translate"),n.paint.get("text-translate-anchor"),!0),Qr(e,r,n,i,n.paint.get("icon-translate"),n.paint.get("icon-translate-anchor"),!1))}},circle:function(e,r,n,i){if("translucent"===e.renderPass){var a=n.paint.get("circle-opacity"),o=n.paint.get("circle-stroke-width"),s=n.paint.get("circle-stroke-opacity"),l=void 0!==n.layout.get("circle-sort-key").constantOr(1);if(0!==a.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var u=e.context,c=u.gl,f=e.depthModeForSublayer(0,Mt.ReadOnly),h=Et.disabled,p=e.colorModeForRenderPass(),d=[],v=0;v<i.length;v++){var g=i[v],y=r.getTile(g),m=y.getBucket(n);if(m){var x=m.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram("circle",x),layoutVertexBuffer:m.layoutVertexBuffer,indexBuffer:m.indexBuffer,uniformValues:Or(e,g,y,n)};if(l)for(var _=0,w=m.segments.get();_<w.length;_+=1){var T=w[_];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:b})}else d.push({segments:m.segments,sortKey:0,state:b})}}l&&d.sort(function(t,e){return t.sortKey-e.sortKey});for(var A=0,k=d;A<k.length;A+=1){var M=k[A],S=M.state,E=S.programConfiguration,L=S.program,C=S.layoutVertexBuffer,P=S.indexBuffer,O=S.uniformValues,I=M.segments;L.draw(u,c.TRIANGLES,f,h,p,Ct.disabled,O,n.id,C,P,I,n.paint,e.transform.zoom,E)}}}},heatmap:function(e,r,n,i){if(0!==n.paint.get("heatmap-opacity"))if("offscreen"===e.renderPass){var a=e.context,o=a.gl,s=Et.disabled,l=new Lt([o.ONE,o.ONE],t.Color.transparent,[!0,!0,!0,!0]);(function(t,e,r){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var i=r.heatmapFbo;if(i)n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),t.bindFramebuffer.set(i.framebuffer);else{var a=n.createTexture();n.bindTexture(n.TEXTURE_2D,a),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),i=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1),function(t,e,r,n){var i=t.gl,a=t.extRenderToTextureHalfFloat?t.extTextureHalfFloat.HALF_FLOAT_OES:i.UNSIGNED_BYTE;i.texImage2D(i.TEXTURE_2D,0,i.RGBA,e.width/4,e.height/4,0,i.RGBA,a,null),n.colorAttachment.set(r)}(t,e,a,i)}})(a,e,n),a.clear({color:t.Color.transparent});for(var u=0;u<i.length;u++){var c=i[u];if(!r.hasRenderableParent(c)){var f=r.getTile(c),h=f.getBucket(n);if(h){var p=h.programConfigurations.get(n.id),d=e.useProgram("heatmap",p),v=e.transform.zoom;d.draw(a,o.TRIANGLES,Mt.disabled,s,l,Ct.disabled,Fr(c.posMatrix,f,v,n.paint.get("heatmap-intensity")),n.id,h.layoutVertexBuffer,h.indexBuffer,h.segments,n.paint,e.transform.zoom,p)}}}a.viewport.set([0,0,e.width,e.height])}else"translucent"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,i=n.gl,a=r.heatmapFbo;if(a){n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,a.colorAttachment.get()),n.activeTexture.set(i.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,i.RGBA)),o.bind(i.LINEAR,i.CLAMP_TO_EDGE),e.useProgram("heatmapTexture").draw(n,i.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,function(e,r,n,i){var a=t.create();t.ortho(a,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:i,u_opacity:r.paint.get("heatmap-opacity")}}(e,r,0,1),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}}(e,n))},line:function(e,r,n,i){if("translucent"===e.renderPass){var a=n.paint.get("line-opacity"),o=n.paint.get("line-width");if(0!==a.constantOr(1)&&0!==o.constantOr(1)){var s=e.depthModeForSublayer(0,Mt.ReadOnly),l=e.colorModeForRenderPass(),u=n.paint.get("line-dasharray"),c=n.paint.get("line-pattern"),f=c.constantOr(1),h=n.paint.get("line-gradient"),p=n.getCrossfadeParameters(),d=f?"linePattern":u?"lineSDF":h?"lineGradient":"line",v=e.context,g=v.gl,y=!0;if(h){v.activeTexture.set(g.TEXTURE0);var m=n.gradientTexture;if(!n.gradient)return;m||(m=n.gradientTexture=new t.Texture(v,n.gradient,g.RGBA)),m.bind(g.LINEAR,g.CLAMP_TO_EDGE)}for(var x=0,b=i;x<b.length;x+=1){var _=b[x],w=r.getTile(_);if(!f||w.patternsLoaded()){var T=w.getBucket(n);if(T){var A=T.programConfigurations.get(n.id),k=e.context.program.get(),M=e.useProgram(d,A),S=y||M.program!==k,E=c.constantOr(null);if(E&&w.imageAtlas){var L=w.imageAtlas,C=L.patternPositions[E.to.toString()],P=L.patternPositions[E.from.toString()];C&&P&&A.setConstantPatternPositions(C,P)}var O=f?jr(e,w,n,p):u?Ur(e,w,n,u,p):h?Nr(e,w,n):Br(e,w,n);f?(v.activeTexture.set(g.TEXTURE0),w.imageAtlasTexture.bind(g.LINEAR,g.CLAMP_TO_EDGE),A.updatePaintBuffers(p)):u&&(S||e.lineAtlas.dirty)&&(v.activeTexture.set(g.TEXTURE0),e.lineAtlas.bind(v)),M.draw(v,g.TRIANGLES,s,e.stencilModeForClipping(_),l,Ct.disabled,O,n.id,T.layoutVertexBuffer,T.indexBuffer,T.segments,n.paint,e.transform.zoom,A),y=!1}}}}}},fill:function(e,r,n,i){var a=n.paint.get("fill-color"),o=n.paint.get("fill-opacity");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get("fill-pattern"),u=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?"opaque":"translucent";if(e.renderPass===u){var c=e.depthModeForSublayer(1,"opaque"===e.renderPass?Mt.ReadWrite:Mt.ReadOnly);sn(e,r,n,i,c,s,!1)}if("translucent"===e.renderPass&&n.paint.get("fill-antialias")){var f=e.depthModeForSublayer(n.getPaintProperty("fill-outline-color")?2:0,Mt.ReadOnly);sn(e,r,n,i,f,s,!0)}}},"fill-extrusion":function(t,e,r,n){var i=r.paint.get("fill-extrusion-opacity");if(0!==i&&"translucent"===t.renderPass){var a=new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get("fill-extrusion-pattern").constantOr(1))ln(t,e,r,n,a,Et.disabled,Lt.disabled),ln(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();ln(t,e,r,n,a,Et.disabled,o)}}},hillshade:function(t,e,r,n){if("offscreen"===t.renderPass||"translucent"===t.renderPass){for(var i=t.context,a=e.getSource().maxzoom,o=t.depthModeForSublayer(0,Mt.ReadOnly),s=t.colorModeForRenderPass(),l="translucent"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],u=l[0],c=0,f=l[1];c<f.length;c+=1){var h=f[c],p=e.getTile(h);p.needsHillshadePrepare&&"offscreen"===t.renderPass?cn(t,p,r,a,o,Et.disabled,s):"translucent"===t.renderPass&&un(t,p,r,o,u[h.overscaledZ],s)}i.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if("translucent"===t.renderPass&&0!==r.paint.get("raster-opacity")&&n.length)for(var i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram("raster"),l=t.colorModeForRenderPass(),u=o instanceof I?[{},n]:t.stencilConfigForOverlap(n),c=u[0],f=u[1],h=f[f.length-1].overscaledZ,p=!t.options.moving,d=0,v=f;d<v.length;d+=1){var g=v[d],y=t.depthModeForSublayer(g.overscaledZ-h,1===r.paint.get("raster-opacity")?Mt.ReadWrite:Mt.ReadOnly,a.LESS),m=e.getTile(g),x=t.transform.calculatePosMatrix(g.toUnwrapped(),p);m.registerFadeDuration(r.paint.get("raster-fade-duration"));var b=e.findLoadedParent(g,0),_=fn(m,b,e,r,t.transform),w=void 0,T=void 0,A="nearest"===r.paint.get("raster-resampling")?a.NEAREST:a.LINEAR;i.activeTexture.set(a.TEXTURE0),m.texture.bind(A,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),i.activeTexture.set(a.TEXTURE1),b?(b.texture.bind(A,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),w=Math.pow(2,b.tileID.overscaledZ-m.tileID.overscaledZ),T=[m.tileID.canonical.x*w%1,m.tileID.canonical.y*w%1]):m.texture.bind(A,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST);var k=qr(x,T||[0,0],w||1,_,r);o instanceof I?s.draw(i,a.TRIANGLES,y,Et.disabled,l,Ct.disabled,k,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,y,c[g.overscaledZ],l,Ct.disabled,k,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get("background-color"),i=r.paint.get("background-opacity");if(0!==i){var a=t.context,o=a.gl,s=t.transform,l=s.tileSize,u=r.paint.get("background-pattern");if(!t.isPatternMissing(u)){var c=!u&&1===n.a&&1===i&&t.opaquePassEnabledForLayer()?"opaque":"translucent";if(t.renderPass===c){var f=Et.disabled,h=t.depthModeForSublayer(0,"opaque"===c?Mt.ReadWrite:Mt.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(u?"backgroundPattern":"background"),v=s.coveringTiles({tileSize:l});u&&(a.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var g=r.getCrossfadeParameters(),y=0,m=v;y<m.length;y+=1){var x=m[y],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=u?Kr(b,i,t,u,{tileID:x,tileSize:l},g):Jr(b,i,n);d.draw(a,o.TRIANGLES,h,f,p,Ct.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)_n(t,e,r[n])},custom:function(t,e,r){var n=t.context,i=r.implementation;if("offscreen"===t.renderPass){var a=i.prerender;a&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),a.call(i,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if("translucent"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(Et.disabled);var o="3d"===i.renderingMode?new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,Mt.ReadOnly);n.setDepthMode(o),i.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},Tn=function(t,e){this.context=new Pt(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Ot.maxUnderzooming+Ot.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Ve,this.gpuTimers={}};Tn.prototype.resize=function(e,r){if(this.width=e*t.browser.devicePixelRatio,this.height=r*t.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var n=0,i=this.style._order;n<i.length;n+=1){var a=i[n];this.style._layers[a].resize()}},Tn.prototype.setup=function(){var e=this.context,r=new t.StructArrayLayout2i4;r.emplaceBack(0,0),r.emplaceBack(t.EXTENT,0),r.emplaceBack(0,t.EXTENT),r.emplaceBack(t.EXTENT,t.EXTENT),this.tileExtentBuffer=e.createVertexBuffer(r,Ze.members),this.tileExtentSegments=t.SegmentVector.simpleSegment(0,0,4,2);var n=new t.StructArrayLayout2i4;n.emplaceBack(0,0),n.emplaceBack(t.EXTENT,0),n.emplaceBack(0,t.EXTENT),n.emplaceBack(t.EXTENT,t.EXTENT),this.debugBuffer=e.createVertexBuffer(n,Ze.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var i=new t.StructArrayLayout4i8;i.emplaceBack(0,0,0,0),i.emplaceBack(t.EXTENT,0,t.EXTENT,0),i.emplaceBack(0,t.EXTENT,0,t.EXTENT),i.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(i,O.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var a=new t.StructArrayLayout2i4;a.emplaceBack(0,0),a.emplaceBack(1,0),a.emplaceBack(0,1),a.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(a,Ze.members),this.viewportSegments=t.SegmentVector.simpleSegment(0,0,4,2);var o=new t.StructArrayLayout1ui2;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=e.createIndexBuffer(o);var s=new t.StructArrayLayout3ui6;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=e.createIndexBuffer(s),this.emptyTexture=new t.Texture(e,{width:1,height:1,data:new Uint8Array([0,0,0,0])},e.gl.RGBA);var l=this.context.gl;this.stencilClearMode=new Et({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},Tn.prototype.clearStencil=function(){var e=this.context,r=e.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var n=t.create();t.ortho(n,0,this.width,this.height,0,0,1),t.scale(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram("clippingMask").draw(e,r.TRIANGLES,Mt.disabled,this.stencilClearMode,Lt.disabled,Ct.disabled,Rr(n),"$clipping",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},Tn.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(Lt.disabled),r.setDepthMode(Mt.disabled);var i=this.useProgram("clippingMask");this._tileClippingMaskIDs={};for(var a=0,o=e;a<o.length;a+=1){var s=o[a],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;i.draw(r,n.TRIANGLES,Mt.disabled,new Et({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),Lt.disabled,Ct.disabled,Rr(s.posMatrix),"$clipping",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},Tn.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Et({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},Tn.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Et({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},Tn.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort(function(t,e){return e.overscaledZ-t.overscaledZ}),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s<a;s++)o[s+i]=new Et({func:r.GEQUAL,mask:255},s+this.nextStencilID,255,r.KEEP,r.KEEP,r.REPLACE);return this.nextStencilID+=a,[o,n]}return[(e={},e[i]=Et.disabled,e),n]},Tn.prototype.colorModeForRenderPass=function(){var e=this.context.gl;if(this._showOverdrawInspector){var r=1/8;return new Lt([e.CONSTANT_COLOR,e.ONE],new t.Color(r,r,r,0),[!0,!0,!0,!0])}return"opaque"===this.renderPass?Lt.unblended:Lt.alphaBlended},Tn.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return Mt.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new Mt(r||this.context.gl.LEQUAL,e,[n,n])},Tn.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},Tn.prototype.render=function(e,r){var n=this;this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var i=this.style._order,a=this.style.sourceCaches;for(var o in a){var s=a[o];s.used&&s.prepare(this.context)}var l,u,c={},f={},h={};for(var p in a){var d=a[p];c[p]=d.getVisibleCoordinates(),f[p]=c[p].slice().reverse(),h[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var v=0;v<i.length;v++){var g=i[v];if(this.style._layers[g].is3D()){this.opaquePassCutoff=v;break}}this.renderPass="offscreen";for(var y=0,m=i;y<m.length;y+=1){var x=m[y],b=this.style._layers[x];if(b.hasOffscreenPass()&&!b.isHidden(this.transform.zoom)){var _=f[b.source];("custom"===b.type||_.length)&&this.renderLayer(this,a[b.source],b,_)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?t.Color.black:t.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(e._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass="opaque",this.currentLayer=i.length-1;this.currentLayer>=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],A=c[w.source];this._renderTileClippingMasks(w,A),this.renderLayer(this,T,w,A)}for(this.renderPass="translucent",this.currentLayer=0;this.currentLayer<i.length;this.currentLayer++){var k=this.style._layers[i[this.currentLayer]],M=a[k.source],S=("symbol"===k.type?h:f)[k.source];this._renderTileClippingMasks(k,c[k.source]),this.renderLayer(this,M,k,S)}this.options.showTileBoundaries&&(t.values(this.style._layers).forEach(function(t){t.source&&!t.isHidden(n.transform.zoom)&&(t.source!==(u&&u.id)&&(u=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<u.getSource().maxzoom)&&(l=u))}),l&&wn.debug(this,l,l.getVisibleCoordinates())),this.options.showPadding&&yn(this),this.context.setDefault()},Tn.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||("background"===r.type||"custom"===r.type||n.length)&&(this.id=r.id,this.gpuTimingStart(r),wn[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},Tn.prototype.gpuTimingStart=function(t){if(this.options.gpuTiming){var e=this.context.extTimerQuery,r=this.gpuTimers[t.id];r||(r=this.gpuTimers[t.id]={calls:0,cpuTime:0,query:e.createQueryEXT()}),r.calls++,e.beginQueryEXT(e.TIME_ELAPSED_EXT,r.query)}},Tn.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},Tn.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},Tn.prototype.queryGpuTimers=function(t){var e={};for(var r in t){var n=t[r],i=this.context.extTimerQuery,a=i.getQueryObjectEXT(n.query,i.QUERY_RESULT_EXT)/1e6;i.deleteQueryEXT(n.query),e[r]=a}return e},Tn.prototype.translatePosMatrix=function(e,r,n,i,a){if(!n[0]&&!n[1])return e;var o=a?"map"===i?this.transform.angle:0:"viewport"===i?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var u=[a?n[0]:ge(r,n[0],this.transform.zoom),a?n[1]:ge(r,n[1],this.transform.zoom),0],c=new Float32Array(16);return t.translate(c,e,u),c},Tn.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},Tn.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},Tn.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},Tn.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=""+t+(e?e.cacheKey:"")+(this._showOverdrawInspector?"/overdraw":"");return this.cache[r]||(this.cache[r]=new Ar(this.context,wr[t],e,$r[t],this._showOverdrawInspector)),this.cache[r]},Tn.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},Tn.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},Tn.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement("canvas"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},Tn.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var An=function(t,e){this.points=t,this.planes=e};An.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map(function(r){return t.transformMat4([],r,e)}).map(function(e){return t.scale$1([],e,1/e[3]/r*i)}),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map(function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)});return new An(a,o)};var kn=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};kn.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a<r.length;a++)n[a]=r[a]?this.min[a]:this.center[a],i[a]=r[a]?this.center[a]:this.max[a];return i[2]=this.max[2],new kn(n,i)},kn.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},kn.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},kn.prototype.intersects=function(e){for(var r=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],n=!0,i=0;i<e.planes.length;i++){for(var a=e.planes[i],o=0,s=0;s<r.length;s++)o+=t.dot$1(a,r[s])>=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var u=Number.MAX_VALUE,c=-Number.MAX_VALUE,f=0;f<e.points.length;f++){var h=e.points[f][l]-this.min[l];u=Math.min(u,h),c=Math.max(c,h)}if(c<0||u>this.max[l]-this.min[l])return 0}return 1};var Mn=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error("Invalid value for edge-insets, top, bottom, left and right must all be numbers");this.top=t,this.bottom=e,this.left=r,this.right=n};Mn.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},Mn.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),i=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,i)},Mn.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},Mn.prototype.clone=function(){return new Mn(this.top,this.bottom,this.left,this.right)},Mn.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var Sn=function(e,r,n,i,a){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===a||a,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new Mn,this._posMatrixCache={},this._alignedPosMatrixCache={}},En={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};Sn.prototype.clone=function(){var t=new Sn(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},En.minZoom.get=function(){return this._minZoom},En.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},En.maxZoom.get=function(){return this._maxZoom},En.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},En.minPitch.get=function(){return this._minPitch},En.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},En.maxPitch.get=function(){return this._maxPitch},En.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},En.renderWorldCopies.get=function(){return this._renderWorldCopies},En.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},En.worldSize.get=function(){return this.tileSize*this.scale},En.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},En.size.get=function(){return new t.Point(this.width,this.height)},En.bearing.get=function(){return-this.angle/Math.PI*180},En.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},En.pitch.get=function(){return this._pitch/Math.PI*180},En.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},En.fov.get=function(){return this._fov/Math.PI*180},En.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},En.zoom.get=function(){return this._zoom},En.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},En.center.get=function(){return this._center},En.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},En.padding.get=function(){return this._edgeInsets.toJSON()},En.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},En.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},Sn.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},Sn.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},Sn.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},Sn.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),u=s-1;u<=l+1;u++)0!==u&&r.push(new t.UnwrappedTileID(u,e));return r},Sn.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&r<e.minzoom)return[];void 0!==e.maxzoom&&r>e.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=An.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var u=function(t){return{aabb:new kn([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},c=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)c.push(u(-d)),c.push(u(d));for(c.push(u(0));c.length>0;){var v=c.pop(),g=v.x,y=v.y,m=v.fullyVisible;if(!m){var x=v.aabb.intersects(s);if(0===x)continue;m=2===x}var b=v.aabb.distanceX(o),_=v.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<<h-v.zoom)-2;if(v.zoom===h||w>T&&v.zoom>=l)f.push({tileID:new t.OverscaledTileID(v.zoom===h?p:v.zoom,v.wrap,v.zoom,g,y),distanceSq:t.sqrLen([o[0]-.5-g,o[1]-.5-y])});else for(var A=0;A<4;A++){var k=(g<<1)+A%2,M=(y<<1)+(A>>1);c.push({aabb:v.aabb.quadrant(A),zoom:v.zoom+1,x:k,y:M,wrap:v.wrap,fullyVisible:m})}}return f.sort(function(t,e){return t.distanceSq-e.distanceSq}).map(function(t){return t.tileID})},Sn.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},En.unmodified.get=function(){return this._unmodified},Sn.prototype.zoomScale=function(t){return Math.pow(2,t)},Sn.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},Sn.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},Sn.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},En.point.get=function(){return this.project(this.center)},Sn.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(e),o=new t.MercatorCoordinate(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},Sn.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},Sn.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},Sn.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},Sn.prototype.coordinateLocation=function(t){return t.toLngLat()},Sn.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,u=n[1]/a,c=r[2]/i,f=n[2]/a,h=c===f?0:(0-c)/(f-c);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,u,h)/this.worldSize)},Sn.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},Sn.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},Sn.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},Sn.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},Sn.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];var a=e.canonical,o=this.worldSize/this.zoomScale(a.z),s=a.x+Math.pow(2,a.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,a.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),i[n]=new Float32Array(l),i[n]},Sn.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},Sn.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,u=this.size,c=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-a<u.y?u.y/(o-a):0}if(this.lngRange){var h=this.lngRange;s=t.mercatorXfromLng(h[0])*this.worldSize,r=(l=t.mercatorXfromLng(h[1])*this.worldSize)-s<u.x?u.x/(l-s):0}var p=this.point,d=Math.max(r||0,e||0);if(d)return this.center=this.unproject(new t.Point(r?(l+s)/2:p.x,e?(o+a)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=c,void(this._constraining=!1);if(this.latRange){var v=p.y,g=u.y/2;v-g<a&&(i=a+g),v+g>o&&(i=o-g)}if(this.lngRange){var y=p.x,m=u.x/2;y-m<s&&(n=s+m),y+m>l&&(n=l-m)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=c,this._constraining=!1}},Sn.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,u=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),c=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,c,u),f[8]=2*-r.x/this.width,f[9]=2*r.y/this.height,t.scale(f,f,[1,-1,1]),t.translate(f,f,[0,0,-this.cameraToCenterDistance]),t.rotateX(f,f,this._pitch),t.rotateZ(f,f,this.angle),t.translate(f,f,[-s,-l,0]),this.mercatorMatrix=t.scale([],f,[this.worldSize,this.worldSize,this.worldSize]),t.scale(f,f,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=f,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),v=Math.sin(this.angle),g=s-Math.round(s)+d*h+v*p,y=l-Math.round(l)+d*p+v*h,m=new Float64Array(f);if(t.translate(m,m,[g>.5?g-1:g,y>.5?y-1:y,0]),this.alignedProjMatrix=m,f=t.create(),t.scale(f,f,[this.width/2,-this.height/2,1]),t.translate(f,f,[1,-1,0]),this.labelPlaneMatrix=f,f=t.create(),t.scale(f,f,[1,-1,1]),t.translate(f,f,[-1,-1,0]),t.scale(f,f,[2/this.width,2/this.height,1]),this.glCoordMatrix=f,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(f=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error("failed to invert matrix");this.pixelMatrixInverse=f,this._posMatrixCache={},this._alignedPosMatrixCache={}}},Sn.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},Sn.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},Sn.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var u=l[s];n=Math.min(n,u.x),i=Math.min(i,u.y),a=Math.max(a,u.x),o=Math.max(o,u.y)}return[new t.Point(n,i),new t.Point(a,i),new t.Point(a,o),new t.Point(n,o),new t.Point(n,i)]},Object.defineProperties(Sn.prototype,En);var Ln=function(e){var r,n,i,a,o;this._hashName=e&&encodeURIComponent(e),t.bindAll(["_getCurrentHash","_onHashChange","_updateHash"],this),this._updateHash=(r=this._updateHashUnthrottled.bind(this),n=300,i=!1,a=null,o=function(){a=null,i&&(r(),a=setTimeout(o,n),i=!1)},function(){return i=!0,a||o(),a})};Ln.prototype.addTo=function(e){return this._map=e,t.window.addEventListener("hashchange",this._onHashChange,!1),this._map.on("moveend",this._updateHash),this},Ln.prototype.remove=function(){return t.window.removeEventListener("hashchange",this._onHashChange,!1),this._map.off("moveend",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},Ln.prototype.getHashString=function(e){var r=this._map.getCenter(),n=Math.round(100*this._map.getZoom())/100,i=Math.ceil((n*Math.LN2+Math.log(512/360/.5))/Math.LN10),a=Math.pow(10,i),o=Math.round(r.lng*a)/a,s=Math.round(r.lat*a)/a,l=this._map.getBearing(),u=this._map.getPitch(),c="";if(c+=e?"/"+o+"/"+s+"/"+n:n+"/"+s+"/"+o,(l||u)&&(c+="/"+Math.round(10*l)/10),u&&(c+="/"+Math.round(u)),this._hashName){var f=this._hashName,h=!1,p=t.window.location.hash.slice(1).split("&").map(function(t){var e=t.split("=")[0];return e===f?(h=!0,e+"="+c):t}).filter(function(t){return t});return h||p.push(f+"="+c),"#"+p.join("&")}return"#"+c},Ln.prototype._getCurrentHash=function(){var e,r=this,n=t.window.location.hash.replace("#","");return this._hashName?(n.split("&").map(function(t){return t.split("=")}).forEach(function(t){t[0]===r._hashName&&(e=t)}),(e&&e[1]||"").split("/")):n.split("/")},Ln.prototype._onHashChange=function(){var t=this._getCurrentHash();if(t.length>=3&&!t.some(function(t){return isNaN(t)})){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},Ln.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,"",e)}catch(t){}};var Cn={linearity:.3,easing:t.bezier(0,0,.3,1)},Pn=t.extend({deceleration:2500,maxSpeed:1400},Cn),On=t.extend({deceleration:20,maxSpeed:1400},Cn),In=t.extend({deceleration:1e3,maxSpeed:360},Cn),Dn=t.extend({deceleration:1e3,maxSpeed:90},Cn),zn=function(t){this._map=t,this.clear()};function Rn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function Fn(e,r,n){var i=n.maxSpeed,a=n.linearity,o=n.deceleration,s=t.clamp(e*a/(r/1e3),-i,i),l=Math.abs(s)/(o*a);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}zn.prototype.clear=function(){this._inertiaBuffer=[]},zn.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},zn.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},zn.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n<i.length;n+=1){var a=i[n].settings;r.zoom+=a.zoomDelta||0,r.bearing+=a.bearingDelta||0,r.pitch+=a.pitchDelta||0,a.panDelta&&r.pan._add(a.panDelta),a.around&&(r.around=a.around),a.pinchAround&&(r.pinchAround=a.pinchAround)}var o=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,s={};if(r.pan.mag()){var l=Fn(r.pan.mag(),o,t.extend({},Pn,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,Rn(s,l)}if(r.zoom){var u=Fn(r.zoom,o,On);s.zoom=this._map.transform.zoom+u.amount,Rn(s,u)}if(r.bearing){var c=Fn(r.bearing,o,In);s.bearing=this._map.transform.bearing+t.clamp(c.amount,-179,179),Rn(s,c)}if(r.pitch){var f=Fn(r.pitch,o,Dn);s.pitch=this._map.transform.pitch+f.amount,Rn(s,f)}if(s.zoom||s.bearing){var h=void 0===r.pinchAround?r.around:r.pinchAround;s.around=h?this._map.unproject(h):this._map.getCenter()}return this.clear(),t.extend(s,{noMoveStart:!0})}};var Bn=function(e){function n(n,i,a,o){void 0===o&&(o={});var s=r.mousePos(i.getCanvasContainer(),a),l=i.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:a},o)),this._defaultPrevented=!1,this.target=i}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Nn=function(e){function n(n,i,a){var o="touchend"===n?a.changedTouches:a.touches,s=r.touchPos(i.getCanvasContainer(),o),l=s.map(function(t){return i.unproject(t)}),u=s.reduce(function(t,e,r,n){return t.add(e.div(n.length))},new t.Point(0,0)),c=i.unproject(u);e.call(this,n,{points:s,point:u,lngLats:l,lngLat:c,originalEvent:a}),this._defaultPrevented=!1}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),jn=function(t){function e(e,r,n){t.call(this,e,{originalEvent:n}),this._defaultPrevented=!1}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={defaultPrevented:{configurable:!0}};return e.prototype.preventDefault=function(){this._defaultPrevented=!0},r.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(e.prototype,r),e}(t.Event),Un=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};Un.prototype.reset=function(){delete this._mousedownPos},Un.prototype.wheel=function(t){return this._firePreventable(new jn(t.type,this._map,t))},Un.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new Bn(t.type,this._map,t))},Un.prototype.mouseup=function(t){this._map.fire(new Bn(t.type,this._map,t))},Un.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Bn(t.type,this._map,t))},Un.prototype.dblclick=function(t){return this._firePreventable(new Bn(t.type,this._map,t))},Un.prototype.mouseover=function(t){this._map.fire(new Bn(t.type,this._map,t))},Un.prototype.mouseout=function(t){this._map.fire(new Bn(t.type,this._map,t))},Un.prototype.touchstart=function(t){return this._firePreventable(new Nn(t.type,this._map,t))},Un.prototype.touchmove=function(t){this._map.fire(new Nn(t.type,this._map,t))},Un.prototype.touchend=function(t){this._map.fire(new Nn(t.type,this._map,t))},Un.prototype.touchcancel=function(t){this._map.fire(new Nn(t.type,this._map,t))},Un.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Un.prototype.isEnabled=function(){return!0},Un.prototype.isActive=function(){return!1},Un.prototype.enable=function(){},Un.prototype.disable=function(){};var Vn=function(t){this._map=t};Vn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},Vn.prototype.mousemove=function(t){this._map.fire(new Bn(t.type,this._map,t))},Vn.prototype.mousedown=function(){this._delayContextMenu=!0},Vn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Bn("contextmenu",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},Vn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Bn(t.type,this._map,t)),this._map.listens("contextmenu")&&t.preventDefault()},Vn.prototype.isEnabled=function(){return!0},Vn.prototype.isActive=function(){return!1},Vn.prototype.enable=function(){},Vn.prototype.disable=function(){};var Hn=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function qn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Hn.prototype.isEnabled=function(){return!!this._enabled},Hn.prototype.isActive=function(){return!!this._active},Hn.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Hn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Hn.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Hn.prototype.mousemoveWindow=function(t,e){if(this._active){var n=e;if(!(this._lastPos.equals(n)||!this._box&&n.dist(this._startPos)<this._clickTolerance)){var i=this._startPos;this._lastPos=n,this._box||(this._box=r.create("div","mapboxgl-boxzoom",this._container),this._container.classList.add("mapboxgl-crosshair"),this._fireEvent("boxzoomstart",t));var a=Math.min(i.x,n.x),o=Math.max(i.x,n.x),s=Math.min(i.y,n.y),l=Math.max(i.y,n.y);r.setTransform(this._box,"translate("+a+"px,"+s+"px)"),this._box.style.width=o-a+"px",this._box.style.height=l-s+"px"}}},Hn.prototype.mouseupWindow=function(e,n){var i=this;if(this._active&&0===e.button){var a=this._startPos,o=n;if(this.reset(),r.suppressClick(),a.x!==o.x||a.y!==o.y)return this._map.fire(new t.Event("boxzoomend",{originalEvent:e})),{cameraAnimation:function(t){return t.fitScreenCoordinates(a,o,i._map.getBearing(),{linear:!0})}};this._fireEvent("boxzoomcancel",e)}},Hn.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent("boxzoomcancel",t))},Hn.prototype.reset=function(){this._active=!1,this._container.classList.remove("mapboxgl-crosshair"),this._box&&(r.remove(this._box),this._box=null),r.enableDrag(),delete this._startPos,delete this._lastPos},Hn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var Gn=function(t){this.reset(),this.numTouches=t.numTouches};Gn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},Gn.prototype.touchstart=function(e,r,n){(this.centroid||n.length>this.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n<i.length;n+=1){var a=i[n];r._add(a)}return r.div(e.length)}(r),this.touches=qn(n,r)))},Gn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=qn(r,e);for(var i in this.touches){var a=this.touches[i],o=n[i];(!o||o.dist(a)>30)&&(this.aborted=!0)}}},Gn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var Yn=function(t){this.singleTap=new Gn(t),this.numTaps=t.numTaps,this.reset()};Yn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},Yn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},Yn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},Yn.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Wn=function(){this._zoomIn=new Yn({numTouches:1,numTaps:2}),this._zoomOut=new Yn({numTouches:2,numTaps:1}),this.reset()};Wn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Wn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Wn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Wn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout(function(){return n.reset()},0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout(function(){return n.reset()},0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Wn.prototype.touchcancel=function(){this.reset()},Wn.prototype.enable=function(){this._enabled=!0},Wn.prototype.disable=function(){this._enabled=!1,this.reset()},Wn.prototype.isEnabled=function(){return this._enabled},Wn.prototype.isActive=function(){return this._active};var Zn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Zn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Zn.prototype._correctButton=function(t,e){return!1},Zn.prototype._move=function(t,e){return{}},Zn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Zn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r&&(t.preventDefault(),this._moved||!(e.dist(r)<this._clickTolerance)))return this._moved=!0,this._lastPoint=e,this._move(r,e)},Zn.prototype.mouseupWindow=function(t){r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},Zn.prototype.enable=function(){this._enabled=!0},Zn.prototype.disable=function(){this._enabled=!1,this.reset()},Zn.prototype.isEnabled=function(){return this._enabled},Zn.prototype.isActive=function(){return this._active};var Xn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.mousedown=function(e,r){t.prototype.mousedown.call(this,e,r),this._lastPoint&&(this._active=!0)},e.prototype._correctButton=function(t,e){return 0===e&&!t.ctrlKey},e.prototype._move=function(t,e){return{around:e,panDelta:e.sub(t)}},e}(Zn),Jn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=.8*(e.x-t.x);if(r)return this._active=!0,{bearingDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Zn),Kn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=-.5*(e.y-t.y);if(r)return this._active=!0,{pitchDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Zn),$n=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};$n.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},$n.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},$n.prototype.touchmove=function(t,e,r){if(this._active)return t.preventDefault(),this._calculateTransform(t,e,r)},$n.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},$n.prototype.touchcancel=function(){this.reset()},$n.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var i=qn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var u=i[l],c=this._touches[l];c&&(a._add(u),o._add(u.sub(c)),s++,i[l]=u)}if(this._touches=i,!(s<this._minTouches)&&o.mag()){var f=o.div(s);if(this._sum._add(f),!(this._sum.mag()<this._clickTolerance))return{around:a.div(s),panDelta:f}}},$n.prototype.enable=function(){this._enabled=!0},$n.prototype.disable=function(){this._enabled=!1,this.reset()},$n.prototype.isEnabled=function(){return this._enabled},$n.prototype.isActive=function(){return this._active};var Qn=function(){this.reset()};function ti(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}Qn.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},Qn.prototype._start=function(t){},Qn.prototype._move=function(t,e,r){return{}},Qn.prototype.touchstart=function(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]))},Qn.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,i=n[0],a=n[1],o=ti(r,e,i),s=ti(r,e,a);if(o&&s){var l=this._aroundCenter?null:o.add(s).div(2);return this._move([o,s],l,t)}}},Qn.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var i=this._firstTwoTouches,a=i[0],o=i[1],s=ti(n,e,a),l=ti(n,e,o);s&&l||(this._active&&r.suppressClick(),this.reset())}},Qn.prototype.touchcancel=function(){this.reset()},Qn.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&"center"===t.around},Qn.prototype.disable=function(){this._enabled=!1,this.reset()},Qn.prototype.isEnabled=function(){return this._enabled},Qn.prototype.isActive=function(){return this._active};function ei(t,e){return Math.log(t/e)/Math.LN2}var ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._distance,delete this._startDistance},e.prototype._start=function(t){this._startDistance=this._distance=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs(ei(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:ei(this._distance,r),pinchAround:e}},e}(Qn);function ni(t,e){return 180*t.angleWith(e)/Math.PI}var ii=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},e.prototype._start=function(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:ni(this._vector,r),pinchAround:e}},e.prototype._isBelowThreshold=function(t){this._minDiameter=Math.min(this._minDiameter,t.mag());var e=25/(Math.PI*this._minDiameter)*360,r=ni(t,this._startVector);return Math.abs(r)<e},e}(Qn);function ai(t){return Math.abs(t.y)>Math.abs(t.x)}var oi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,ai(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid)return this._lastPoints=t,this._active=!0,{pitchDelta:(n.y+i.y)/2*-.5}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return ai(t)&&ai(e)&&a}},e}(Qn),si={panStep:100,bearingStep:15,pitchStep:10},li=function(){var t=si;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep};function ui(t){return t*(2-t)}li.prototype.reset=function(){this._active=!1},li.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:"keyboardHandler",easing:ui,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},li.prototype.enable=function(){this._enabled=!0},li.prototype.disable=function(){this._enabled=!1,this.reset()},li.prototype.isEnabled=function(){return this._enabled},li.prototype.isActive=function(){return this._active};var ci=4.000244140625,fi=1/450,hi=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=fi,t.bindAll(["_onWheel","_onTimeout","_onScrollFrame","_onScrollFinished"],this)};hi.prototype.setZoomRate=function(t){this._defaultZoomRate=t},hi.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},hi.prototype.isEnabled=function(){return!!this._enabled},hi.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},hi.prototype.isZooming=function(){return!!this._zooming},hi.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&"center"===t.around)},hi.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},hi.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%ci===0?this._type="wheel":0!==r&&Math.abs(r)<4?this._type="trackpad":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?"trackpad":"wheel",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},hi.prototype._onTimeout=function(t){this._type="wheel",this._delta-=this._lastValue,this._active||this._start(t)},hi.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},hi.prototype.renderFrame=function(){return this._onScrollFrame()},hi.prototype._onScrollFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n="wheel"===this._type&&Math.abs(this._delta)>ci?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a="number"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),"wheel"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s="number"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,u=this._easing,c=!1;if("wheel"===this._type&&l&&u){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=u(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):c=!0}else o=s,c=!0;return this._active=!0,c&&(this._active=!1,this._finishTimeout=setTimeout(function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout},200)),{noInertia:!0,needsRenderFrame:!c,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},hi.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},hi.prototype.reset=function(){this._active=!1};var pi=function(t,e){this._clickZoom=t,this._tapZoom=e};pi.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},pi.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},pi.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},pi.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var di=function(){this.reset()};di.prototype.reset=function(){this._active=!1},di.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},di.prototype.enable=function(){this._enabled=!0},di.prototype.disable=function(){this._enabled=!1,this.reset()},di.prototype.isEnabled=function(){return this._enabled},di.prototype.isActive=function(){return this._active};var vi=function(){this._tap=new Yn({numTouches:1,numTaps:1}),this.reset()};vi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},vi.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},vi.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},vi.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},vi.prototype.touchcancel=function(){this.reset()},vi.prototype.enable=function(){this._enabled=!0},vi.prototype.disable=function(){this._enabled=!1,this.reset()},vi.prototype.isEnabled=function(){return this._enabled},vi.prototype.isActive=function(){return this._active};var gi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};gi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add("mapboxgl-touch-drag-pan")},gi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove("mapboxgl-touch-drag-pan")},gi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},gi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var yi=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};yi.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},yi.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},yi.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},yi.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var mi=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};mi.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add("mapboxgl-touch-zoom-rotate")},mi.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove("mapboxgl-touch-zoom-rotate")},mi.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},mi.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},mi.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},mi.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var xi=function(t){return t.zoom||t.drag||t.pitch||t.rotate},bi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function _i(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var wi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new zn(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll(["handleEvent","handleWindowEvent"],this);var i=this._el;this._listeners=[[i,"touchstart",{passive:!1}],[i,"touchmove",{passive:!1}],[i,"touchend",void 0],[i,"touchcancel",void 0],[i,"mousedown",void 0],[i,"mousemove",void 0],[i,"mouseup",void 0],[t.window.document,"mousemove",{capture:!0}],[t.window.document,"mouseup",void 0],[i,"mouseover",void 0],[i,"mouseout",void 0],[i,"dblclick",void 0],[i,"click",void 0],[i,"keydown",{capture:!1}],[i,"keyup",void 0],[i,"wheel",{passive:!1}],[i,"contextmenu",void 0],[t.window,"blur",void 0]];for(var a=0,o=this._listeners;a<o.length;a+=1){var s=o[a],l=s[0],u=s[1],c=s[2];r.addEventListener(l,u,l===t.window.document?this.handleWindowEvent:this.handleEvent,c)}};wi.prototype.destroy=function(){for(var e=0,n=this._listeners;e<n.length;e+=1){var i=n[e],a=i[0],o=i[1],s=i[2];r.removeEventListener(a,o,a===t.window.document?this.handleWindowEvent:this.handleEvent,s)}},wi.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add("mapEvent",new Un(e,t));var n=e.boxZoom=new Hn(e,t);this._add("boxZoom",n);var i=new Wn,a=new di;e.doubleClickZoom=new pi(a,i),this._add("tapZoom",i),this._add("clickZoom",a);var o=new vi;this._add("tapDragZoom",o);var s=e.touchPitch=new oi;this._add("touchPitch",s);var l=new Jn(t),u=new Kn(t);e.dragRotate=new yi(t,l,u),this._add("mouseRotate",l,["mousePitch"]),this._add("mousePitch",u,["mouseRotate"]);var c=new Xn(t),f=new $n(t);e.dragPan=new gi(r,c,f),this._add("mousePan",c),this._add("touchPan",f,["touchZoom","touchRotate"]);var h=new ii,p=new ri;e.touchZoomRotate=new mi(r,p,h,o),this._add("touchRotate",h,["touchPan","touchZoom"]),this._add("touchZoom",p,["touchPan","touchRotate"]);var d=e.scrollZoom=new hi(e,this);this._add("scrollZoom",d,["mousePan"]);var v=e.keyboard=new li;this._add("keyboard",v),this._add("blockableMapEvent",new Vn(e));for(var g=0,y=["boxZoom","doubleClickZoom","tapDragZoom","touchPitch","dragRotate","dragPan","touchZoomRotate","scrollZoom","keyboard"];g<y.length;g+=1){var m=y[g];t.interactive&&t[m]&&e[m].enable(t[m])}},wi.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},wi.prototype.stop=function(){if(!this._updatingCamera){for(var t=0,e=this._handlers;t<e.length;t+=1)e[t].handler.reset();this._inertia.clear(),this._fireEvents({},{}),this._changes=[]}},wi.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1)if(e[t].handler.isActive())return!0;return!1},wi.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},wi.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},wi.prototype.isMoving=function(){return Boolean(xi(this._eventsInProgress))||this.isZooming()},wi.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},wi.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+"Window")},wi.prototype._getMapTouches=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=i.target;this._el.contains(a)&&e.push(i)}return e},wi.prototype.handleEvent=function(t,e){if("blur"!==t.type){this._updatingCamera=!0;for(var n="renderFrame"===t.type?void 0:t,i={needsRenderFrame:!1},a={},o={},s=t.touches?this._getMapTouches(t.touches):void 0,l=s?r.touchPos(this._el,s):r.mousePos(this._el,t),u=0,c=this._handlers;u<c.length;u+=1){var f=c[u],h=f.handlerName,p=f.handler,d=f.allowed;if(p.isEnabled()){var v=void 0;this._blockedByActive(o,d,h)?p.reset():p[e||t.type]&&(v=p[e||t.type](t,l,s),this.mergeHandlerResult(i,a,v,h,n),v&&v.needsRenderFrame&&this._triggerRenderFrame()),(v||p.isActive())&&(o[h]=p)}}var g={};for(var y in this._previousActiveHandlers)o[y]||(g[y]=n);this._previousActiveHandlers=o,(Object.keys(g).length||_i(i))&&(this._changes.push([i,a,g]),this._triggerRenderFrame()),(Object.keys(o).length||_i(i))&&this._map._stop(!0),this._updatingCamera=!1;var m=i.cameraAnimation;m&&(this._inertia.clear(),this._fireEvents({},{}),this._changes=[],m(this._map))}else this.stop()},wi.prototype.mergeHandlerResult=function(e,r,n,i,a){if(n){t.extend(e,n);var o={handlerName:i,originalEvent:n.originalEvent||a};void 0!==n.zoomDelta&&(r.zoom=o),void 0!==n.panDelta&&(r.drag=o),void 0!==n.pitchDelta&&(r.pitch=o),void 0!==n.bearingDelta&&(r.rotate=o)}},wi.prototype._applyChanges=function(){for(var e={},r={},n={},i=0,a=this._changes;i<a.length;i+=1){var o=a[i],s=o[0],l=o[1],u=o[2];s.panDelta&&(e.panDelta=(e.panDelta||new t.Point(0,0))._add(s.panDelta)),s.zoomDelta&&(e.zoomDelta=(e.zoomDelta||0)+s.zoomDelta),s.bearingDelta&&(e.bearingDelta=(e.bearingDelta||0)+s.bearingDelta),s.pitchDelta&&(e.pitchDelta=(e.pitchDelta||0)+s.pitchDelta),void 0!==s.around&&(e.around=s.around),void 0!==s.pinchAround&&(e.pinchAround=s.pinchAround),s.noInertia&&(e.noInertia=s.noInertia),t.extend(r,l),t.extend(n,u)}this._updateMapTransform(e,r,n),this._changes=[]},wi.prototype._updateMapTransform=function(t,e,r){var n=this._map,i=n.transform;if(!_i(t))return this._fireEvents(e,r);var a=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,u=t.around,c=t.pinchAround;void 0!==c&&(u=c),n._stop(!0),u=u||n.transform.centerPoint;var f=i.pointLocation(a?u.sub(a):u);s&&(i.bearing+=s),l&&(i.pitch+=l),o&&(i.zoom+=o),i.setLocationAtPoint(f,u),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r)},wi.prototype._fireEvents=function(e,r){var n=this,i=xi(this._eventsInProgress),a=xi(e),o={};for(var s in e){var l=e[s].originalEvent;this._eventsInProgress[s]||(o[s+"start"]=l),this._eventsInProgress[s]=e[s]}for(var u in!i&&a&&this._fireEvent("movestart",a.originalEvent),o)this._fireEvent(u,o[u]);for(var c in e.rotate&&(this._bearingChanged=!0),a&&this._fireEvent("move",a.originalEvent),e){var f=e[c].originalEvent;this._fireEvent(c,f)}var h,p={};for(var d in this._eventsInProgress){var v=this._eventsInProgress[d],g=v.handlerName,y=v.originalEvent;this._handlersById[g].isActive()||(delete this._eventsInProgress[d],h=r[g]||y,p[d+"end"]=h)}for(var m in p)this._fireEvent(m,p[m]);var x=xi(this._eventsInProgress);if((i||a)&&!x){this._updatingCamera=!0;var b=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),_=function(t){return 0!==t&&-n._bearingSnap<t&&t<n._bearingSnap};b?(_(b.bearing||this._map.getBearing())&&(b.bearing=0),this._map.easeTo(b,{originalEvent:h})):(this._map.fire(new t.Event("moveend",{originalEvent:h})),_(this._map.getBearing())&&this._map.resetNorth()),this._bearingChanged=!1,this._updatingCamera=!1}},wi.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},wi.prototype._triggerRenderFrame=function(){var t=this;void 0===this._frameId&&(this._frameId=this._map._requestRenderFrame(function(e){delete t._frameId,t.handleEvent(new bi("renderFrame",{timeStamp:e})),t._applyChanges()}))};var Ti=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll(["_renderFrameCallback"],this)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.getPadding=function(){return this.transform.padding},r.prototype.setPadding=function(t,e){return this.jumpTo({padding:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){return e=t.LngLatBounds.convert(e),this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),0,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,i){var a={top:0,bottom:0,right:0,left:0};if("number"==typeof(i=t.extend({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){var o=i.padding;i.padding={top:o,bottom:o,right:o,left:o}}i.padding=t.extend(a,i.padding);var s=this.transform,l=s.padding,u=s.project(t.LngLat.convert(e)),c=s.project(t.LngLat.convert(r)),f=u.rotate(-n*Math.PI/180),h=c.rotate(-n*Math.PI/180),p=new t.Point(Math.max(f.x,h.x),Math.max(f.y,h.y)),d=new t.Point(Math.min(f.x,h.x),Math.min(f.y,h.y)),v=p.sub(d),g=(s.width-(l.left+l.right+i.padding.left+i.padding.right))/v.x,y=(s.height-(l.top+l.bottom+i.padding.top+i.padding.bottom))/v.y;if(!(y<0||g<0)){var m=Math.min(s.scaleZoom(s.scale*Math.min(g,y)),i.maxZoom),x=t.Point.convert(i.offset),b=(i.padding.left-i.padding.right)/2,_=(i.padding.top-i.padding.bottom)/2,w=new t.Point(x.x+b,x.y+_).mult(s.scale/s.zoomScale(m));return{center:s.unproject(u.add(c).div(2).sub(w)),zoom:m,bearing:n}}t.warnOnce("Map cannot fit within canvas with the given bounds, padding, and/or offset.")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,i,a){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,i),i,a)},r.prototype._fitInternal=function(e,r,n){return e?(delete(r=t.extend(e,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,i=!1,a=!1,o=!1;return"zoom"in e&&n.zoom!==+e.zoom&&(i=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),"bearing"in e&&n.bearing!==+e.bearing&&(a=!0,n.bearing=+e.bearing),"pitch"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),null==e.padding||n.isPaddingEqual(e.padding)||(n.padding=e.padding),this.fire(new t.Event("movestart",r)).fire(new t.Event("move",r)),i&&this.fire(new t.Event("zoomstart",r)).fire(new t.Event("zoom",r)).fire(new t.Event("zoomend",r)),a&&this.fire(new t.Event("rotatestart",r)).fire(new t.Event("rotate",r)).fire(new t.Event("rotateend",r)),o&&this.fire(new t.Event("pitchstart",r)).fire(new t.Event("pitch",r)).fire(new t.Event("pitchend",r)),this.fire(new t.Event("moveend",r))},r.prototype.easeTo=function(e,r){var n=this;this._stop(!1,e.easeId),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||!e.essential&&t.browser.prefersReducedMotion)&&(e.duration=0);var i=this.transform,a=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=this.getPadding(),u="zoom"in e?+e.zoom:a,c="bearing"in e?this._normalizeBearing(e.bearing,o):o,f="pitch"in e?+e.pitch:s,h="padding"in e?e.padding:i.padding,p=t.Point.convert(e.offset),d=i.centerPoint.add(p),v=i.pointLocation(d),g=t.LngLat.convert(e.center||v);this._normalizeCenter(g);var y,m,x=i.project(v),b=i.project(g).sub(x),_=i.zoomScale(u-a);e.around&&(y=t.LngLat.convert(e.around),m=i.locationPoint(y));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||u!==a,this._rotating=this._rotating||o!==c,this._pitching=this._pitching||f!==s,this._padding=!i.isPaddingEqual(h),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),clearTimeout(this._easeEndTimeoutID),this._ease(function(e){if(n._zooming&&(i.zoom=t.number(a,u,e)),n._rotating&&(i.bearing=t.number(o,c,e)),n._pitching&&(i.pitch=t.number(s,f,e)),n._padding&&(i.interpolatePadding(l,h,e),d=i.centerPoint.add(p)),y)i.setLocationAtPoint(y,m);else{var v=i.zoomScale(i.zoom-a),g=u>a?Math.min(2,_):Math.max(.5,_),w=Math.pow(g,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(v));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)},function(t){n._afterEase(r,t)},e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event("movestart",e)),this._zooming&&!n.zooming&&this.fire(new t.Event("zoomstart",e)),this._rotating&&!n.rotating&&this.fire(new t.Event("rotatestart",e)),this._pitching&&!n.pitching&&this.fire(new t.Event("pitchstart",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event("move",e)),this._zooming&&this.fire(new t.Event("zoom",e)),this._rotating&&this.fire(new t.Event("rotate",e)),this._pitching&&this.fire(new t.Event("pitch",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event("zoomend",e)),i&&this.fire(new t.Event("rotateend",e)),a&&this.fire(new t.Event("pitchend",e)),this.fire(new t.Event("moveend",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,["center","zoom","bearing","pitch","around"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),u=this.getPadding(),c="zoom"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f="bearing"in e?this._normalizeBearing(e.bearing,s):s,h="pitch"in e?+e.pitch:l,p="padding"in e?e.padding:a.padding,d=a.zoomScale(c-o),v=t.Point.convert(e.offset),g=a.centerPoint.add(v),y=a.pointLocation(g),m=t.LngLat.convert(e.center||y);this._normalizeCenter(m);var x=a.project(y),b=a.project(m).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,A=b.mag();if("minZoom"in e){var k=t.clamp(Math.min(e.minZoom,o,c),a.minZoom,a.maxZoom),M=w/a.zoomScale(k-o);_=Math.sqrt(M/A*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*A*A)/(2*(t?T:w)*S*A);return Math.log(Math.sqrt(e*e+1)-e)}function L(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),O=function(t){return C(P)/C(P+_*t)},I=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/A;var e},D=(E(1)-P)/_;if(Math.abs(A)<1e-6||!isFinite(D)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var z=T<w?-1:1;D=Math.abs(Math.log(T/w))/_,I=function(){return 0},O=function(t){return Math.exp(z*_*t)}}if("duration"in e)e.duration=+e.duration;else{var R="screenSpeed"in e?+e.screenSpeed/_:+e.speed;e.duration=1e3*D/R}return e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease(function(e){var i=e*D,d=1/O(i);a.zoom=1===e?c:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(u,p,e),g=a.centerPoint.add(v));var y=1===e?m:a.unproject(x.add(b.mult(I(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?y.wrap():y,g),n._fireMoveEvents(r)},function(){return n._afterEase(r)},e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop()}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)<n&&(e-=360),Math.abs(e+360-r)<n&&(e+=360),e},r.prototype._normalizeCenter=function(t){var e=this.transform;if(e.renderWorldCopies&&!e.lngRange){var r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}},r}(t.Evented),Ai=function(e){void 0===e&&(e={}),this.options=e,t.bindAll(["_updateEditLink","_updateData","_updateCompact"],this)};Ai.prototype.getDefaultPosition=function(){return"bottom-right"},Ai.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-attrib"),this._innerContainer=r.create("div","mapboxgl-ctrl-attrib-inner",this._container),e&&this._container.classList.add("mapboxgl-compact"),this._updateAttributions(),this._updateEditLink(),this._map.on("styledata",this._updateData),this._map.on("sourcedata",this._updateData),this._map.on("moveend",this._updateEditLink),void 0===e&&(this._map.on("resize",this._updateCompact),this._updateCompact()),this._container},Ai.prototype.onRemove=function(){r.remove(this._container),this._map.off("styledata",this._updateData),this._map.off("sourcedata",this._updateData),this._map.off("moveend",this._updateEditLink),this._map.off("resize",this._updateCompact),this._map=void 0,this._attribHTML=void 0},Ai.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(".mapbox-improve-map"));var r=[{key:"owner",value:this.styleOwner},{key:"id",value:this.styleId},{key:"access_token",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce(function(t,e,n){return e.value&&(t+=e.key+"="+e.value+(n<r.length-1?"&":"")),t},"?");e.href=t.config.FEEDBACK_URL+"/"+n+(this._map._hash?this._map._hash.getHashString(!0):""),e.rel="noopener nofollow"}},Ai.prototype._updateData=function(t){!t||"metadata"!==t.sourceDataType&&"style"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},Ai.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map(function(t){return"string"!=typeof t?"":t})):"string"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){var e=this._map.style.stylesheet;this.styleOwner=e.owner,this.styleId=e.id}var r=this._map.style.sourceCaches;for(var n in r){var i=r[n];if(i.used){var a=i.getSource();a.attribution&&t.indexOf(a.attribution)<0&&t.push(a.attribution)}}t.sort(function(t,e){return t.length-e.length});var o=(t=t.filter(function(e,r){for(var n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0})).join(" | ");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove("mapboxgl-attrib-empty")):this._container.classList.add("mapboxgl-attrib-empty"),this._editLink=null)}},Ai.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add("mapboxgl-compact"):this._container.classList.remove("mapboxgl-compact")};var ki=function(){t.bindAll(["_updateLogo"],this),t.bindAll(["_updateCompact"],this)};ki.prototype.onAdd=function(t){this._map=t,this._container=r.create("div","mapboxgl-ctrl");var e=r.create("a","mapboxgl-ctrl-logo");return e.target="_blank",e.rel="noopener nofollow",e.href="https://www.mapbox.com/",e.setAttribute("aria-label",this._map._getUIString("LogoControl.Title")),e.setAttribute("rel","noopener nofollow"),this._container.appendChild(e),this._container.style.display="none",this._map.on("sourcedata",this._updateLogo),this._updateLogo(),this._map.on("resize",this._updateCompact),this._updateCompact(),this._container},ki.prototype.onRemove=function(){r.remove(this._container),this._map.off("sourcedata",this._updateLogo),this._map.off("resize",this._updateCompact)},ki.prototype.getDefaultPosition=function(){return"bottom-left"},ki.prototype._updateLogo=function(t){t&&"metadata"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?"block":"none")},ki.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t)if(t[e].getSource().mapbox_logo)return!0;return!1}},ki.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add("mapboxgl-compact"):e.classList.remove("mapboxgl-compact")}};var Mi=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};Mi.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},Mi.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;r<n.length;r+=1){var i=n[r];if(i.id===t)return void(i.cancelled=!0)}},Mi.prototype.run=function(t){void 0===t&&(t=0);var e=this._currentlyRunning=this._queue;this._queue=[];for(var r=0,n=e;r<n.length;r+=1){var i=n[r];if(!i.cancelled&&(i.callback(t),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},Mi.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Si={"FullscreenControl.Enter":"Enter fullscreen","FullscreenControl.Exit":"Exit fullscreen","GeolocateControl.FindMyLocation":"Find my location","GeolocateControl.LocationNotAvailable":"Location not available","LogoControl.Title":"Mapbox logo","NavigationControl.ResetBearing":"Reset bearing to north","NavigationControl.ZoomIn":"Zoom in","NavigationControl.ZoomOut":"Zoom out","ScaleControl.Feet":"ft","ScaleControl.Meters":"m","ScaleControl.Kilometers":"km","ScaleControl.Miles":"mi","ScaleControl.NauticalMiles":"nm"},Ei=t.window.HTMLImageElement,Li=t.window.HTMLElement,Ci=t.window.ImageBitmap,Pi=60,Oi={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:Pi,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,bearingSnap:7,clickTolerance:3,pitchWithRotate:!0,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:"sans-serif",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},Ii=function(n){function i(e){var r=this;if(null!=(e=t.extend({},Oi,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error("maxZoom must be greater than or equal to minZoom");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error("maxPitch must be greater than or equal to minPitch");if(null!=e.minPitch&&e.minPitch<0)throw new Error("minPitch must be greater than or equal to 0");if(null!=e.maxPitch&&e.maxPitch>Pi)throw new Error("maxPitch must be less than or equal to 60");var i=new Sn(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new Mi,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Si,e.locale),this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),"string"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error("Container '"+e.container+"' not found.")}else{if(!(e.container instanceof Li))throw new Error("Invalid type: 'container' must be a String or HTMLElement.");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll(["_onWindowOnline","_onWindowResize","_contextLost","_contextRestored"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error("Failed to initialize WebGL.");this.on("move",function(){return r._update(!1)}),this.on("moveend",function(){return r._update(!1)}),this.on("zoom",function(){return r._update(!0)}),void 0!==t.window&&(t.window.addEventListener("online",this._onWindowOnline,!1),t.window.addEventListener("resize",this._onWindowResize,!1)),this.handlers=new wi(this,e);var a="string"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new Ln(a).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new Ai({customAttribution:e.customAttribution})),this.addControl(new ki,e.logoPosition),this.on("style.load",function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)}),this.on("data",function(e){r._update("style"===e.dataType),r.fire(new t.Event(e.dataType+"data",e))}),this.on("dataloading",function(e){r.fire(new t.Event(e.dataType+"dataloading",e))})}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&e.getDefaultPosition&&(r=e.getDefaultPosition()),void 0===r&&(r="top-right"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error("Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf("bottom")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error("Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event("movestart",e)).fire(new t.Event("move",e))),this.fire(new t.Event("resize",e)),a&&this.fire(new t.Event("moveend",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error("minZoom must be between -2 and the current maxZoom, inclusive")},i.prototype.getMinZoom=function(){return this.transform.minZoom},i.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error("maxZoom must be greater than the current minZoom")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error("minPitch must be greater than or equal to 0");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error("minPitch must be between 0 and the current maxPitch, inclusive")},i.prototype.getMinPitch=function(){return this.transform.minPitch},i.prototype.setMaxPitch=function(t){if((t=null==t?Pi:t)>Pi)throw new Error("maxPitch must be less than or equal to 60");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error("maxPitch must be greater than the current minPitch")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if("mouseenter"===t||"mouseover"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new Bn(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if("mouseleave"===t||"mouseout"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new Bn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Bn(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o<a.length;o++){var s=a[o];if(s.layer===e&&s.listener===r){for(var l in s.delegates)i.off(l,s.delegates[l]);return a.splice(o,1),i}}}(this._delegatedListeners),this},i.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return[];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||"number"==typeof e[0])n=[t.Point.convert(e)];else{var i=t.Point.convert(e[0]),a=t.Point.convert(e[1]);n=[i,new t.Point(a.x,i.y),a,new t.Point(i.x,a.y),i]}return this.style.queryRenderedFeatures(n,r,this.transform)},i.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},i.prototype.setStyle=function(e,r){return!1!==(r=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},i.prototype._getUIString=function(t){var e=this._locale[t];if(null==e)throw new Error("Missing UI string '"+t+"'");return e},i.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new We(this,e||{}),this.style.setEventedParent(this,{style:this.style}),"string"==typeof t?this.style.loadURL(t):this.style.loadJSON(t),this):(delete this.style,this)},i.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new We(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},i.prototype._diffStyle=function(e,r){var n=this;if("string"==typeof e){var i=this._requestManager.normalizeStyleURL(e),a=this._requestManager.transformRequest(i,t.ResourceType.Style);t.getJSON(a,function(e,i){e?n.fire(new t.ErrorEvent(e)):i&&n._updateDiff(i,r)})}else"object"==typeof e&&this._updateDiff(e,r)},i.prototype._updateDiff=function(e,r){try{this.style.setState(e)&&this._update(!0)}catch(n){t.warnOnce("Unable to perform style diff: "+(n.message||n.error||n)+".  Rebuilding the style from scratch."),this._updateStyle(e,r)}},i.prototype.getStyle=function(){if(this.style)return this.style.serialize()},i.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce("There is no style added to the map.")},i.prototype.addSource=function(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)},i.prototype.isSourceLoaded=function(e){var r=this.style&&this.style.sourceCaches[e];if(void 0!==r)return r.loaded();this.fire(new t.ErrorEvent(new Error("There is no source with ID '"+e+"'")))},i.prototype.areTilesLoaded=function(){var t=this.style&&this.style.sourceCaches;for(var e in t){var r=t[e]._tiles;for(var n in r){var i=r[n];if("loaded"!==i.state&&"errored"!==i.state)return!1}}return!0},i.prototype.addSourceType=function(t,e,r){return this._lazyInitEmptyStyle(),this.style.addSourceType(t,e,r)},i.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},i.prototype.getSource=function(t){return this.style.getSource(t)},i.prototype.addImage=function(e,r,n){void 0===n&&(n={});var i=n.pixelRatio;void 0===i&&(i=1);var a=n.sdf;void 0===a&&(a=!1);var o=n.stretchX,s=n.stretchY,l=n.content;this._lazyInitEmptyStyle();if(r instanceof Ei||Ci&&r instanceof Ci){var u=t.browser.getImageData(r),c=u.width,f=u.height,h=u.data;this.style.addImage(e,{data:new t.RGBAImage({width:c,height:f},h),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0})}else{if(void 0===r.width||void 0===r.height)return this.fire(new t.ErrorEvent(new Error("Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`")));var p=r.width,d=r.height,v=r.data,g=r;this.style.addImage(e,{data:new t.RGBAImage({width:p,height:d},new Uint8Array(v)),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0,userImage:g}),g.onAdd&&g.onAdd(this,e)}},i.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error("The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.")));var i=r instanceof Ei||Ci&&r instanceof Ci?t.browser.getImageData(r):r,a=i.width,o=i.height,s=i.data;if(void 0===a||void 0===o)return this.fire(new t.ErrorEvent(new Error("Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`")));if(a!==n.data.width||o!==n.data.height)return this.fire(new t.ErrorEvent(new Error("The width and height of the updated image must be that same as the previous version of the image")));var l=!(r instanceof Ei||Ci&&r instanceof Ci);n.data.replace(s,l),this.style.updateImage(e,n)},i.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error("Missing required image id"))),!1)},i.prototype.removeImage=function(t){this.style.removeImage(t)},i.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},i.prototype.listImages=function(){return this.style.listImages()},i.prototype.addLayer=function(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)},i.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},i.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},i.prototype.getLayer=function(t){return this.style.getLayer(t)},i.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},i.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},i.prototype.getFilter=function(t){return this.style.getFilter(t)},i.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},i.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},i.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},i.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},i.prototype.setLight=function(t,e){return void 0===e&&(e={}),this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)},i.prototype.getLight=function(){return this.style.getLight()},i.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},i.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},i.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},i.prototype.getContainer=function(){return this._container},i.prototype.getCanvasContainer=function(){return this._canvasContainer},i.prototype.getCanvas=function(){return this._canvas},i.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},i.prototype._detectMissingCSS=function(){"rgb(250, 128, 114)"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue("background-color")&&t.warnOnce("This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.")},i.prototype._setupContainer=function(){var t=this._container;t.classList.add("mapboxgl-map"),(this._missingCSSCanary=r.create("div","mapboxgl-canary",t)).style.visibility="hidden",this._detectMissingCSS();var e=this._canvasContainer=r.create("div","mapboxgl-canvas-container",t);this._interactive&&e.classList.add("mapboxgl-interactive"),this._canvas=r.create("canvas","mapboxgl-canvas",e),this._canvas.addEventListener("webglcontextlost",this._contextLost,!1),this._canvas.addEventListener("webglcontextrestored",this._contextRestored,!1),this._canvas.setAttribute("tabindex","0"),this._canvas.setAttribute("aria-label","Map");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var i=this._controlContainer=r.create("div","mapboxgl-control-container",t),a=this._controlPositions={};["top-left","top-right","bottom-left","bottom-right"].forEach(function(t){a[t]=r.create("div","mapboxgl-ctrl-"+t,i)})},i.prototype._resizeCanvas=function(e,r){var n=t.browser.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+"px",this._canvas.style.height=r+"px"},i.prototype._setupPainter=function(){var r=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),n=this._canvas.getContext("webgl",r)||this._canvas.getContext("experimental-webgl",r);n?(this.painter=new Tn(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error("Failed to initialize WebGL")))},i.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event("webglcontextlost",{originalEvent:e}))},i.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event("webglcontextrestored",{originalEvent:e}))},i.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},i.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},i.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},i.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},i.prototype._render=function(e){var r,n=this,i=0,a=this.painter.context.extTimerQuery;if(this.listens("gpu-timing-frame")&&(r=a.createQueryEXT(),a.beginQueryEXT(a.TIME_ELAPSED_EXT,r),i=t.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(e),!this._removed){var o=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var s=this.transform.zoom,l=t.browser.now();this.style.zoomHistory.update(s,l);var u=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),c=u.crossFadingFactor();1===c&&c===this._crossFadingFactor||(o=!0,this._crossFadingFactor=c),this.style.update(u)}if(this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration,showPadding:this.showPadding,gpuTiming:!!this.listens("gpu-timing-layer")}),this.fire(new t.Event("render")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event("load"))),this.style&&(this.style.hasTransitions()||o)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens("gpu-timing-frame")){var f=t.browser.now()-i;a.endQueryEXT(a.TIME_ELAPSED_EXT,r),setTimeout(function(){var e=a.getQueryObjectEXT(r,a.QUERY_RESULT_EXT)/1e6;a.deleteQueryEXT(r),n.fire(new t.Event("gpu-timing-frame",{cpuTime:f,gpuTime:e}))},50)}if(this.listens("gpu-timing-layer")){var h=this.painter.collectGpuTimers();setTimeout(function(){var e=n.painter.queryGpuTimers(h);n.fire(new t.Event("gpu-timing-layer",{layerTimes:e}))},50)}return this._sourcesDirty||this._styleDirty||this._placementDirty||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&(this._fullyLoaded||(this._fullyLoaded=!0),this.fire(new t.Event("idle"))),this}},i.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1)r[e].onRemove(this);this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener("resize",this._onWindowResize,!1),t.window.removeEventListener("online",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension("WEBGL_lose_context");n&&n.loseContext(),Di(this._canvasContainer),Di(this._controlContainer),Di(this._missingCSSCanary),this._container.classList.remove("mapboxgl-map"),this._removed=!0,this.fire(new t.Event("remove"))},i.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame(function(t){e._frame=null,e._render(t)}))},i.prototype._onWindowOnline=function(){this._update()},i.prototype._onWindowResize=function(t){this._trackResize&&this.resize({originalEvent:t})._update()},a.showTileBoundaries.get=function(){return!!this._showTileBoundaries},a.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},a.showPadding.get=function(){return!!this._showPadding},a.showPadding.set=function(t){this._showPadding!==t&&(this._showPadding=t,this._update())},a.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},a.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},a.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},a.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},a.repaint.get=function(){return!!this._repaint},a.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},a.vertices.get=function(){return!!this._vertices},a.vertices.set=function(t){this._vertices=t,this._update()},i.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},a.version.get=function(){return t.version},Object.defineProperties(i.prototype,a),i}(Ti);function Di(t){t.parentNode&&t.parentNode.removeChild(t)}var zi={showCompass:!0,showZoom:!0,visualizePitch:!1},Ri=function(e){var n=this;this.options=t.extend({},zi,e),this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-group"),this._container.addEventListener("contextmenu",function(t){return t.preventDefault()}),this.options.showZoom&&(t.bindAll(["_setButtonTitle","_updateZoomButtons"],this),this._zoomInButton=this._createButton("mapboxgl-ctrl-zoom-in",function(t){return n._map.zoomIn({},{originalEvent:t})}),r.create("span","mapboxgl-ctrl-icon",this._zoomInButton).setAttribute("aria-hidden",!0),this._zoomOutButton=this._createButton("mapboxgl-ctrl-zoom-out",function(t){return n._map.zoomOut({},{originalEvent:t})}),r.create("span","mapboxgl-ctrl-icon",this._zoomOutButton).setAttribute("aria-hidden",!0)),this.options.showCompass&&(t.bindAll(["_rotateCompassArrow"],this),this._compass=this._createButton("mapboxgl-ctrl-compass",function(t){n.options.visualizePitch?n._map.resetNorthPitch({},{originalEvent:t}):n._map.resetNorth({},{originalEvent:t})}),this._compassIcon=r.create("span","mapboxgl-ctrl-icon",this._compass),this._compassIcon.setAttribute("aria-hidden",!0))};Ri.prototype._updateZoomButtons=function(){var t=this._map.getZoom();this._zoomInButton.disabled=t===this._map.getMaxZoom(),this._zoomOutButton.disabled=t===this._map.getMinZoom()},Ri.prototype._rotateCompassArrow=function(){var t=this.options.visualizePitch?"scale("+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+") rotateX("+this._map.transform.pitch+"deg) rotateZ("+this._map.transform.angle*(180/Math.PI)+"deg)":"rotate("+this._map.transform.angle*(180/Math.PI)+"deg)";this._compassIcon.style.transform=t},Ri.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,"ZoomIn"),this._setButtonTitle(this._zoomOutButton,"ZoomOut"),this._map.on("zoom",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,"ResetBearing"),this.options.visualizePitch&&this._map.on("pitch",this._rotateCompassArrow),this._map.on("rotate",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Fi(this._map,this._compass,this.options.visualizePitch)),this._container},Ri.prototype.onRemove=function(){r.remove(this._container),this.options.showZoom&&this._map.off("zoom",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off("pitch",this._rotateCompassArrow),this._map.off("rotate",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map},Ri.prototype._createButton=function(t,e){var n=r.create("button",t,this._container);return n.type="button",n.addEventListener("click",e),n},Ri.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString("NavigationControl."+e);t.title=r,t.setAttribute("aria-label",r)};var Fi=function(e,n,i){void 0===i&&(i=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new Jn({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,i&&(this.mousePitch=new Kn({clickTolerance:e.dragRotate._mousePitch._clickTolerance})),t.bindAll(["mousedown","mousemove","mouseup","touchstart","touchmove","touchend","reset"],this),r.addEventListener(n,"mousedown",this.mousedown),r.addEventListener(n,"touchstart",this.touchstart,{passive:!1}),r.addEventListener(n,"touchmove",this.touchmove),r.addEventListener(n,"touchend",this.touchend),r.addEventListener(n,"touchcancel",this.reset)};function Bi(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var i=new t.LngLat(e.lng-360,e.lat),a=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(i).distSqr(r)<o?e=i:n.locationPoint(a).distSqr(r)<o&&(e=a)}for(;Math.abs(e.lng-n.center.lng)>180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Fi.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Fi.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Fi.prototype.off=function(){var t=this.element;r.removeEventListener(t,"mousedown",this.mousedown),r.removeEventListener(t,"touchstart",this.touchstart,{passive:!1}),r.removeEventListener(t,"touchmove",this.touchmove),r.removeEventListener(t,"touchend",this.touchend),r.removeEventListener(t,"touchcancel",this.reset),this.offTemp()},Fi.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,"mousemove",this.mousemove),r.removeEventListener(t.window,"mouseup",this.mouseup)},Fi.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,"mousemove",this.mousemove),r.addEventListener(t.window,"mouseup",this.mouseup)},Fi.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Fi.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Fi.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:"mousedown",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Fi.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Fi.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Fi.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var Ni={center:"translate(-50%,-50%)",top:"translate(-50%,0)","top-left":"translate(0,0)","top-right":"translate(-100%,0)",bottom:"translate(-50%,-100%)","bottom-left":"translate(0,-100%)","bottom-right":"translate(-100%,-100%)",left:"translate(0,-50%)",right:"translate(-100%,-50%)"};function ji(t,e,r){var n=t.classList;for(var i in Ni)n.remove("mapboxgl-"+r+"-anchor-"+i);n.add("mapboxgl-"+r+"-anchor-"+e)}var Ui,Vi=function(e){function n(n,i){var a=this;if(e.call(this),(n instanceof t.window.HTMLElement||i)&&(n=t.extend({element:n},i)),t.bindAll(["_update","_onMove","_onUp","_addDragHandler","_onMapClick","_onKeyPress"],this),this._anchor=n&&n.anchor||"center",this._color=n&&n.color||"#3FB1CE",this._draggable=n&&n.draggable||!1,this._state="inactive",this._rotation=n&&n.rotation||0,this._rotationAlignment=n&&n.rotationAlignment||"auto",this._pitchAlignment=n&&n.pitchAlignment&&"auto"!==n.pitchAlignment?n.pitchAlignment:this._rotationAlignment,n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else{this._defaultMarker=!0,this._element=r.create("div"),this._element.setAttribute("aria-label","Map marker");var o=r.createNS("http://www.w3.org/2000/svg","svg");o.setAttributeNS(null,"display","block"),o.setAttributeNS(null,"height","41px"),o.setAttributeNS(null,"width","27px"),o.setAttributeNS(null,"viewBox","0 0 27 41");var s=r.createNS("http://www.w3.org/2000/svg","g");s.setAttributeNS(null,"stroke","none"),s.setAttributeNS(null,"stroke-width","1"),s.setAttributeNS(null,"fill","none"),s.setAttributeNS(null,"fill-rule","evenodd");var l=r.createNS("http://www.w3.org/2000/svg","g");l.setAttributeNS(null,"fill-rule","nonzero");var u=r.createNS("http://www.w3.org/2000/svg","g");u.setAttributeNS(null,"transform","translate(3.0, 29.0)"),u.setAttributeNS(null,"fill","#000000");for(var c=0,f=[{rx:"10.5",ry:"5.25002273"},{rx:"10.5",ry:"5.25002273"},{rx:"9.5",ry:"4.77275007"},{rx:"8.5",ry:"4.29549936"},{rx:"7.5",ry:"3.81822308"},{rx:"6.5",ry:"3.34094679"},{rx:"5.5",ry:"2.86367051"},{rx:"4.5",ry:"2.38636864"}];c<f.length;c+=1){var h=f[c],p=r.createNS("http://www.w3.org/2000/svg","ellipse");p.setAttributeNS(null,"opacity","0.04"),p.setAttributeNS(null,"cx","10.5"),p.setAttributeNS(null,"cy","5.80029008"),p.setAttributeNS(null,"rx",h.rx),p.setAttributeNS(null,"ry",h.ry),u.appendChild(p)}var d=r.createNS("http://www.w3.org/2000/svg","g");d.setAttributeNS(null,"fill",this._color);var v=r.createNS("http://www.w3.org/2000/svg","path");v.setAttributeNS(null,"d","M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z"),d.appendChild(v);var g=r.createNS("http://www.w3.org/2000/svg","g");g.setAttributeNS(null,"opacity","0.25"),g.setAttributeNS(null,"fill","#000000");var y=r.createNS("http://www.w3.org/2000/svg","path");y.setAttributeNS(null,"d","M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z"),g.appendChild(y);var m=r.createNS("http://www.w3.org/2000/svg","g");m.setAttributeNS(null,"transform","translate(6.0, 7.0)"),m.setAttributeNS(null,"fill","#FFFFFF");var x=r.createNS("http://www.w3.org/2000/svg","g");x.setAttributeNS(null,"transform","translate(8.0, 8.0)");var b=r.createNS("http://www.w3.org/2000/svg","circle");b.setAttributeNS(null,"fill","#000000"),b.setAttributeNS(null,"opacity","0.25"),b.setAttributeNS(null,"cx","5.5"),b.setAttributeNS(null,"cy","5.5"),b.setAttributeNS(null,"r","5.4999962");var _=r.createNS("http://www.w3.org/2000/svg","circle");_.setAttributeNS(null,"fill","#FFFFFF"),_.setAttributeNS(null,"cx","5.5"),_.setAttributeNS(null,"cy","5.5"),_.setAttributeNS(null,"r","5.4999962"),x.appendChild(b),x.appendChild(_),l.appendChild(u),l.appendChild(d),l.appendChild(g),l.appendChild(m),l.appendChild(x),o.appendChild(l),this._element.appendChild(o),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add("mapboxgl-marker"),this._element.addEventListener("dragstart",function(t){t.preventDefault()}),this._element.addEventListener("mousedown",function(t){t.preventDefault()}),this._element.addEventListener("focus",function(){var t=a._map.getContainer();t.scrollTop=0,t.scrollLeft=0}),ji(this._element,this._anchor,"marker"),this._popup=null}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on("move",this._update),t.on("moveend",this._update),this.setDraggable(this._draggable),this._update(),this._map.on("click",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off("click",this._onMapClick),this._map.off("move",this._update),this._map.off("moveend",this._update),this._map.off("mousedown",this._addDragHandler),this._map.off("touchstart",this._addDragHandler),this._map.off("mouseup",this._onUp),this._map.off("touchend",this._onUp),this._map.off("mousemove",this._onMove),this._map.off("touchmove",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener("keypress",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute("tabindex")),t){if(!("offset"in t.options)){var e=13.5,r=Math.sqrt(Math.pow(e,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],"top-left":[0,0],"top-right":[0,0],bottom:[0,-38.1],"bottom-left":[r,-1*(24.6+r)],"bottom-right":[-r,-1*(24.6+r)],left:[e,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute("tabindex"),this._originalTabIndex||this._element.setAttribute("tabindex","0"),this._element.addEventListener("keypress",this._onKeyPress)}return this},n.prototype._onKeyPress=function(t){var e=t.code,r=t.charCode||t.keyCode;"Space"!==e&&"Enter"!==e&&32!==r&&13!==r||this.togglePopup()},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=Bi(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var e="";"viewport"===this._rotationAlignment||"auto"===this._rotationAlignment?e="rotateZ("+this._rotation+"deg)":"map"===this._rotationAlignment&&(e="rotateZ("+(this._rotation-this._map.getBearing())+"deg)");var n="";"viewport"===this._pitchAlignment||"auto"===this._pitchAlignment?n="rotateX(0deg)":"map"===this._pitchAlignment&&(n="rotateX("+this._map.getPitch()+"deg)"),t&&"moveend"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,Ni[this._anchor]+" translate("+this._pos.x+"px, "+this._pos.y+"px) "+n+" "+e)}},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents="none","pending"===this._state&&(this._state="active",this.fire(new t.Event("dragstart"))),this.fire(new t.Event("drag"))},n.prototype._onUp=function(){this._element.style.pointerEvents="auto",this._positionDelta=null,this._map.off("mousemove",this._onMove),this._map.off("touchmove",this._onMove),"active"===this._state&&this.fire(new t.Event("dragend")),this._state="inactive"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._state="pending",this._map.on("mousemove",this._onMove),this._map.on("touchmove",this._onMove),this._map.once("mouseup",this._onUp),this._map.once("touchend",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on("mousedown",this._addDragHandler),this._map.on("touchstart",this._addDragHandler)):(this._map.off("mousedown",this._addDragHandler),this._map.off("touchstart",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||"auto",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&"auto"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Hi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var qi=0,Gi=!1,Yi=function(e){function n(r){e.call(this),this.options=t.extend({},Hi,r),t.bindAll(["_onSuccess","_onError","_onZoom","_finish","_setupUI","_updateCamera","_updateMarker"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.onAdd=function(e){return this._map=e,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-group"),n=this._setupUI,void 0!==Ui?n(Ui):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:"geolocation"}).then(function(t){Ui="denied"!==t.state,n(Ui)}):(Ui=!!t.window.navigator.geolocation,n(Ui)),this._container;var n},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off("zoom",this._onZoom),this._map=void 0,qi=0,Gi=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitude<e.getWest()||r.longitude>e.getEast()||r.latitude<e.getSouth()||r.latitude>e.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case"WAITING_ACTIVE":this._watchState="ACTIVE_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error");break;case"ACTIVE_LOCK":this._watchState="ACTIVE_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting");break;case"BACKGROUND":this._watchState="BACKGROUND_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event("outofmaxbounds",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case"WAITING_ACTIVE":case"ACTIVE_LOCK":case"ACTIVE_ERROR":this._watchState="ACTIVE_LOCK",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"BACKGROUND":case"BACKGROUND_ERROR":this._watchState="BACKGROUND",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background")}this.options.showUserLocation&&"OFF"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&"ACTIVE_LOCK"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove("mapboxgl-user-location-dot-stale"),this.fire(new t.Event("geolocate",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+"px",this._circleElement.style.height=i+"px"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState="OFF",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.disabled=!0;var r=this._map._getUIString("GeolocateControl.LocationNotAvailable");this._geolocateButton.title=r,this._geolocateButton.setAttribute("aria-label",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&Gi)return;this._setErrorState()}"OFF"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add("mapboxgl-user-location-dot-stale"),this.fire(new t.Event("error",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener("contextmenu",function(t){return t.preventDefault()}),this._geolocateButton=r.create("button","mapboxgl-ctrl-geolocate",this._container),r.create("span","mapboxgl-ctrl-icon",this._geolocateButton).setAttribute("aria-hidden",!0),this._geolocateButton.type="button",!1===e){t.warnOnce("Geolocation support is not available so the GeolocateControl will be disabled.");var i=this._map._getUIString("GeolocateControl.LocationNotAvailable");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute("aria-label",i)}else{var a=this._map._getUIString("GeolocateControl.FindMyLocation");this._geolocateButton.title=a,this._geolocateButton.setAttribute("aria-label",a)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute("aria-pressed","false"),this._watchState="OFF"),this.options.showUserLocation&&(this._dotElement=r.create("div","mapboxgl-user-location-dot"),this._userLocationDotMarker=new Vi(this._dotElement),this._circleElement=r.create("div","mapboxgl-user-location-accuracy-circle"),this._accuracyCircleMarker=new Vi({element:this._circleElement,pitchAlignment:"map"}),this.options.trackUserLocation&&(this._watchState="OFF"),this._map.on("zoom",this._onZoom)),this._geolocateButton.addEventListener("click",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on("movestart",function(e){var r=e.originalEvent&&"resize"===e.originalEvent.type;e.geolocateSource||"ACTIVE_LOCK"!==n._watchState||r||(n._watchState="BACKGROUND",n._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background"),n._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),n.fire(new t.Event("trackuserlocationend")))})},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce("Geolocate control triggered before added to a map"),!1;if(this.options.trackUserLocation){switch(this._watchState){case"OFF":this._watchState="WAITING_ACTIVE",this.fire(new t.Event("trackuserlocationstart"));break;case"WAITING_ACTIVE":case"ACTIVE_LOCK":case"ACTIVE_ERROR":case"BACKGROUND_ERROR":qi--,Gi=!1,this._watchState="OFF",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this.fire(new t.Event("trackuserlocationend"));break;case"BACKGROUND":this._watchState="ACTIVE_LOCK",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event("trackuserlocationstart"))}switch(this._watchState){case"WAITING_ACTIVE":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"ACTIVE_LOCK":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"ACTIVE_ERROR":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error");break;case"BACKGROUND":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background");break;case"BACKGROUND_ERROR":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background-error")}if("OFF"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.setAttribute("aria-pressed","true"),++qi>1?(e={maximumAge:6e5,timeout:0},Gi=!0):(e=this.options.positionOptions,Gi=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.setAttribute("aria-pressed","false"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Wi={maxWidth:100,unit:"metric"},Zi=function(e){this.options=t.extend({},Wi,e),t.bindAll(["_onMove","setUnit"],this)};function Xi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&"imperial"===r.unit){var l=3.2808*s;l>5280?Ji(e,n,l/5280,t._getUIString("ScaleControl.Miles")):Ji(e,n,l,t._getUIString("ScaleControl.Feet"))}else r&&"nautical"===r.unit?Ji(e,n,s/1852,t._getUIString("ScaleControl.NauticalMiles")):s>=1e3?Ji(e,n,s/1e3,t._getUIString("ScaleControl.Kilometers")):Ji(e,n,s,t._getUIString("ScaleControl.Meters"))}function Ji(t,e,r,n){var i,a,o,s=(i=r,(a=Math.pow(10,(""+Math.floor(i)).length-1))*((o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o))),l=s/r;t.style.width=e*l+"px",t.innerHTML=s+"&nbsp;"+n}Zi.prototype.getDefaultPosition=function(){return"bottom-left"},Zi.prototype._onMove=function(){Xi(this._map,this._container,this.options)},Zi.prototype.onAdd=function(t){return this._map=t,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-scale",t.getContainer()),this._map.on("move",this._onMove),this._onMove(),this._container},Zi.prototype.onRemove=function(){r.remove(this._container),this._map.off("move",this._onMove),this._map=void 0},Zi.prototype.setUnit=function(t){this.options.unit=t,Xi(this._map,this._container,this.options)};var Ki=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce("Full screen control 'container' must be a DOM element.")),t.bindAll(["_onClickFullscreen","_changeIcon"],this),"onfullscreenchange"in t.window.document?this._fullscreenchange="fullscreenchange":"onmozfullscreenchange"in t.window.document?this._fullscreenchange="mozfullscreenchange":"onwebkitfullscreenchange"in t.window.document?this._fullscreenchange="webkitfullscreenchange":"onmsfullscreenchange"in t.window.document&&(this._fullscreenchange="MSFullscreenChange")};Ki.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-group"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display="none",t.warnOnce("This device does not support fullscreen mode.")),this._controlContainer},Ki.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},Ki.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},Ki.prototype._setupUI=function(){var e=this._fullscreenButton=r.create("button","mapboxgl-ctrl-fullscreen",this._controlContainer);r.create("span","mapboxgl-ctrl-icon",e).setAttribute("aria-hidden",!0),e.type="button",this._updateTitle(),this._fullscreenButton.addEventListener("click",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},Ki.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute("aria-label",t),this._fullscreenButton.title=t},Ki.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?"FullscreenControl.Exit":"FullscreenControl.Enter")},Ki.prototype._isFullscreen=function(){return 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ea={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Ii,NavigationControl:Ri,GeolocateControl:Yi,AttributionControl:Ai,ScaleControl:Zi,FullscreenControl:Ki,Popup:Qi,Marker:Vi,Style:We,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){jt().acquire(Rt)},clearPrewarmedResources:function(){var t=Bt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(Rt),Bt=null):console.warn("Could not clear WebWorkers since there are active Map instances that still reference it. 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n=r(79758),i=r(26446),a=r(88191);t.exports=function(t,e,r,o){var s,l,u,c=r[0][0].carpet,f=i.getFromId(t,c.xaxis||"x"),h=i.getFromId(t,c.yaxis||"y"),p={xaxis:f,yaxis:h,plot:e.plot};for(s=0;s<r.length;s++)(l=r[s][0].trace)._xA=f,l._yA=h;for(n(t,p,r,o),s=0;s<r.length;s++)l=r[s][0].trace,u=o.selectAll("g.trace"+l.uid+" .js-line"),a.setClipUrl(u,r[s][0].carpet._clipPathId,t)}},55974:function(t,e,r){"use strict";var n=r(69562),i=r(15181);t.exports=function(t,e,r){if(r("newshape.visible"),r("newshape.name"),r("newshape.showlegend"),r("newshape.legend"),r("newshape.legendwidth"),r("newshape.legendgroup"),r("newshape.legendgrouptitle.text"),i.coerceFont(r,"newshape.legendgrouptitle.font"),r("newshape.legendrank"),r("newshape.drawdirection"),r("newshape.layer"),r("newshape.fillcolor"),r("newshape.fillrule"),r("newshape.opacity"),r("newshape.line.width")){var a=(t||{}).plot_bgcolor||"#FFF";r("newshape.line.color",n.contrast(a)),r("newshape.line.dash")}var 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strip",instances:t.prop("count"),count:4,offset:0,uniforms:{miterMode:function(t,e){return"round"===e.join?2:1},miterLimit:t.prop("miterLimit"),scale:t.prop("scale"),scaleFract:t.prop("scaleFract"),translateFract:t.prop("translateFract"),translate:t.prop("translate"),thickness:t.prop("thickness"),dashTexture:t.prop("dashTexture"),opacity:t.prop("opacity"),pixelRatio:t.context("pixelRatio"),id:t.prop("id"),dashLength:t.prop("dashLength"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]},depth:t.prop("depth")},blend:{enable:!0,color:[0,0,0,0],equation:{rgb:"add",alpha:"add"},func:{srcRGB:"src alpha",dstRGB:"one minus src alpha",srcAlpha:"one minus dst alpha",dstAlpha:"one"}},depth:{enable:function(t,e){return!e.overlay}},stencil:{enable:!1},scissor:{enable:!0,box:t.prop("viewport")},viewport:t.prop("viewport")},i=t(a({vert:"\nprecision highp float;\n\nattribute vec2 aCoord, bCoord, aCoordFract, bCoordFract;\nattribute vec4 color;\nattribute float lineEnd, lineTop;\n\nuniform vec2 scale, scaleFract, translate, translateFract;\nuniform float thickness, pixelRatio, id, depth;\nuniform vec4 viewport;\n\nvarying vec4 fragColor;\nvarying vec2 tangent;\n\nvec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\n\t// the order is important\n\treturn position * scale + translate\n       + positionFract * scale + translateFract\n       + position * scaleFract\n       + positionFract * scaleFract;\n}\n\nvoid main() {\n\tfloat lineStart = 1. - lineEnd;\n\tfloat lineOffset = lineTop * 2. - 1.;\n\n\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\n\ttangent = normalize(diff * scale * viewport.zw);\n\tvec2 normal = vec2(-tangent.y, tangent.x);\n\n\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\n\t\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\n\n\t\t+ thickness * normal * .5 * lineOffset / viewport.zw;\n\n\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\n\n\tfragColor = color / 255.;\n}\n",frag:"\nprecision highp float;\n\nuniform float dashLength, pixelRatio, thickness, opacity, id;\nuniform sampler2D dashTexture;\n\nvarying vec4 fragColor;\nvarying vec2 tangent;\n\nvoid main() {\n\tfloat alpha = 1.;\n\n\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\n\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\n\n\tgl_FragColor = fragColor;\n\tgl_FragColor.a *= alpha * opacity * dash;\n}\n",attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:t.prop("positionFractBuffer"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:t.prop("positionFractBuffer"),stride:8,offset:16,divisor:1},color:{buffer:t.prop("colorBuffer"),stride:4,offset:0,divisor:1}}},n));try{e=t(a({cull:{enable:!0,face:"back"},vert:"\nprecision highp float;\n\nattribute vec2 aCoord, bCoord, nextCoord, prevCoord;\nattribute vec4 aColor, bColor;\nattribute float lineEnd, lineTop;\n\nuniform vec2 scale, translate;\nuniform float thickness, pixelRatio, id, depth;\nuniform vec4 viewport;\nuniform float miterLimit, miterMode;\n\nvarying vec4 fragColor;\nvarying vec4 startCutoff, endCutoff;\nvarying vec2 tangent;\nvarying vec2 startCoord, endCoord;\nvarying float enableStartMiter, enableEndMiter;\n\nconst float REVERSE_THRESHOLD = -.875;\nconst float MIN_DIFF = 1e-6;\n\n// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\n// TODO: precalculate dot products, normalize things beforehead etc.\n// TODO: refactor to rectangular algorithm\n\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\n\tvec2 diff = b - a;\n\tvec2 perp = normalize(vec2(-diff.y, diff.x));\n\treturn dot(p - a, perp);\n}\n\nbool isNaN( float val ){\n  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\n}\n\nvoid main() {\n\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\n\n  vec2 adjustedScale;\n  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\n  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\n\n  vec2 scaleRatio = adjustedScale * viewport.zw;\n\tvec2 normalWidth = thickness / scaleRatio;\n\n\tfloat lineStart = 1. - lineEnd;\n\tfloat lineBot = 1. - lineTop;\n\n\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\n\n\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\n\n\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\n\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\n\n\n\tvec2 prevDiff = aCoord - prevCoord;\n\tvec2 currDiff = bCoord - aCoord;\n\tvec2 nextDiff = nextCoord - bCoord;\n\n\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\n\tvec2 currTangent = normalize(currDiff * scaleRatio);\n\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\n\n\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\n\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\n\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\n\n\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\n\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\n\n\t// collapsed/unidirectional segment cases\n\t// FIXME: there should be more elegant solution\n\tvec2 prevTanDiff = abs(prevTangent - currTangent);\n\tvec2 nextTanDiff = abs(nextTangent - currTangent);\n\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\n\t\tstartJoinDirection = currNormal;\n\t}\n\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\n\t\tendJoinDirection = currNormal;\n\t}\n\tif (aCoord == bCoord) {\n\t\tendJoinDirection = startJoinDirection;\n\t\tcurrNormal = prevNormal;\n\t\tcurrTangent = prevTangent;\n\t}\n\n\ttangent = currTangent;\n\n\t//calculate join shifts relative to normals\n\tfloat startJoinShift = dot(currNormal, startJoinDirection);\n\tfloat endJoinShift = dot(currNormal, endJoinDirection);\n\n\tfloat startMiterRatio = abs(1. / startJoinShift);\n\tfloat endMiterRatio = abs(1. / endJoinShift);\n\n\tvec2 startJoin = startJoinDirection * startMiterRatio;\n\tvec2 endJoin = endJoinDirection * endMiterRatio;\n\n\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\n\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\n\tstartBotJoin = -startTopJoin;\n\n\tendTopJoin = sign(endJoinShift) * endJoin * .5;\n\tendBotJoin = -endTopJoin;\n\n\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\n\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\n\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\n\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\n\n\t//miter anti-clipping\n\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\n\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\n\n\t//prevent close to reverse direction switch\n\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\n\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\n\n\tif (prevReverse) {\n\t\t//make join rectangular\n\t\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\n\t\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\n\t\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\n\t\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\n\t}\n\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\n\t\t//handle miter clipping\n\t\tbTopCoord -= normalWidth * endTopJoin;\n\t\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\n\t}\n\n\tif (nextReverse) {\n\t\t//make join rectangular\n\t\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\n\t\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\n\t\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\n\t\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\n\t}\n\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\n\t\t//handle miter clipping\n\t\taBotCoord -= normalWidth * startBotJoin;\n\t\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\n\t}\n\n\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\n\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\n\n\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\n\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\n\n\t//position is normalized 0..1 coord on the screen\n\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\n\n\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\n\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\n\n\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\n\n\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\n\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\n\n\t//bevel miter cutoffs\n\tif (miterMode == 1.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\n\t\t\tstartCutoff = vec4(aCoord, aCoord);\n\t\t\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\n\t\t\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tstartCutoff += viewport.xyxy;\n\t\t\tstartCutoff += startMiterWidth.xyxy;\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\n\t\t\tendCutoff = vec4(bCoord, bCoord);\n\t\t\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\n\t\t\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tendCutoff += viewport.xyxy;\n\t\t\tendCutoff += endMiterWidth.xyxy;\n\t\t}\n\t}\n\n\t//round miter cutoffs\n\telse if (miterMode == 2.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\n\t\t\tstartCutoff = vec4(aCoord, aCoord);\n\t\t\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\n\t\t\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tstartCutoff += viewport.xyxy;\n\t\t\tstartCutoff += startMiterWidth.xyxy;\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\n\t\t\tendCutoff = vec4(bCoord, bCoord);\n\t\t\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\n\t\t\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tendCutoff += viewport.xyxy;\n\t\t\tendCutoff += endMiterWidth.xyxy;\n\t\t}\n\t}\n}\n",frag:"\nprecision highp float;\n\nuniform float dashLength, pixelRatio, thickness, opacity, id, miterMode;\nuniform sampler2D dashTexture;\n\nvarying vec4 fragColor;\nvarying vec2 tangent;\nvarying vec4 startCutoff, endCutoff;\nvarying vec2 startCoord, endCoord;\nvarying float enableStartMiter, enableEndMiter;\n\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\n\tvec2 diff = b - a;\n\tvec2 perp = normalize(vec2(-diff.y, diff.x));\n\treturn dot(p - a, perp);\n}\n\nvoid main() {\n\tfloat alpha = 1., distToStart, distToEnd;\n\tfloat cutoff = thickness * .5;\n\n\t//bevel miter\n\tif (miterMode == 1.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\n\t\t\tif (distToStart < -1.) {\n\t\t\t\tdiscard;\n\t\t\t\treturn;\n\t\t\t}\n\t\t\talpha *= min(max(distToStart + 1., 0.), 1.);\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\n\t\t\tif (distToEnd < -1.) {\n\t\t\t\tdiscard;\n\t\t\t\treturn;\n\t\t\t}\n\t\t\talpha *= min(max(distToEnd + 1., 0.), 1.);\n\t\t}\n\t}\n\n\t// round miter\n\telse if (miterMode == 2.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\n\t\t\tif (distToStart < 0.) {\n\t\t\t\tfloat radius = length(gl_FragCoord.xy - startCoord);\n\n\t\t\t\tif(radius > cutoff + .5) {\n\t\t\t\t\tdiscard;\n\t\t\t\t\treturn;\n\t\t\t\t}\n\n\t\t\t\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\n\t\t\t}\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\n\t\t\tif (distToEnd < 0.) {\n\t\t\t\tfloat radius = length(gl_FragCoord.xy - endCoord);\n\n\t\t\t\tif(radius > cutoff + .5) {\n\t\t\t\t\tdiscard;\n\t\t\t\t\treturn;\n\t\t\t\t}\n\n\t\t\t\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\n\t\t\t}\n\t\t}\n\t}\n\n\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\n\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\n\n\tgl_FragColor = fragColor;\n\tgl_FragColor.a *= alpha * opacity * dash;\n}\n",attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aColor:{buffer:t.prop("colorBuffer"),stride:4,offset:0,divisor:1},bColor:{buffer:t.prop("colorBuffer"),stride:4,offset:4,divisor:1},prevCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:0,divisor:1},aCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:16,divisor:1},nextCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:24,divisor:1}}},n))}catch(t){e=i}return{fill:t({primitive:"triangle",elements:function(t,e){return e.triangles},offset:0,vert:"\nprecision highp float;\n\nattribute vec2 position, positionFract;\n\nuniform vec4 color;\nuniform vec2 scale, scaleFract, translate, translateFract;\nuniform float pixelRatio, id;\nuniform vec4 viewport;\nuniform float opacity;\n\nvarying vec4 fragColor;\n\nconst float MAX_LINES = 256.;\n\nvoid main() {\n\tfloat depth = (MAX_LINES - 4. - id) / 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2===this.length?t+=67108864*this.words[1]:3===this.length&&1===this.words[2]?t+=4503599627370496+67108864*this.words[1]:this.length>2&&n(!1,"Number can only safely store up to 53 bits"),0!==this.negative?-t:t},a.prototype.toJSON=function(){return this.toString(16)},a.prototype.toBuffer=function(t,e){return n(void 0!==o),this.toArrayLike(o,t,e)},a.prototype.toArray=function(t,e){return this.toArrayLike(Array,t,e)},a.prototype.toArrayLike=function(t,e,r){var i=this.byteLength(),a=r||Math.max(1,i);n(i<=a,"byte array longer than desired length"),n(a>0,"Requested array length <= 0"),this.strip();var o,s,l="le"===e,u=new t(a),c=this.clone();if(l){for(s=0;!c.isZero();s++)o=c.andln(255),c.iushrn(8),u[s]=o;for(;s<a;s++)u[s]=0}else{for(s=0;s<a-i;s++)u[s]=0;for(s=0;!c.isZero();s++)o=c.andln(255),c.iushrn(8),u[a-s-1]=o}return u},Math.clz32?a.prototype._countBits=function(t){return 32-Math.clz32(t)}:a.prototype._countBits=function(t){var e=t,r=0;return 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0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var a=0,o=0;o<n.length;o++)a=(e=(0|r.words[o])-(0|n.words[o])+a)>>26,this.words[o]=67108863&e;for(;0!==a&&o<r.length;o++)a=(e=(0|r.words[o])+a)>>26,this.words[o]=67108863&e;if(0===a&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},a.prototype.sub=function(t){return this.clone().isub(t)};var d=function(t,e,r){var 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yt=(u+(n=n+Math.imul(f,q)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,q)|0))<<13)|0;u=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(y,U),i=(i=Math.imul(y,V))+Math.imul(m,U)|0,a=Math.imul(m,V),n=n+Math.imul(d,q)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(v,q)|0,a=a+Math.imul(v,G)|0;var mt=(u+(n=n+Math.imul(f,W)|0)|0)+((8191&(i=(i=i+Math.imul(f,Z)|0)+Math.imul(h,W)|0))<<13)|0;u=((a=a+Math.imul(h,Z)|0)+(i>>>13)|0)+(mt>>>26)|0,mt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(y,q)|0,i=(i=i+Math.imul(y,G)|0)+Math.imul(m,q)|0,a=a+Math.imul(m,G)|0,n=n+Math.imul(d,W)|0,i=(i=i+Math.imul(d,Z)|0)+Math.imul(v,W)|0,a=a+Math.imul(v,Z)|0;var xt=(u+(n=n+Math.imul(f,J)|0)|0)+((8191&(i=(i=i+Math.imul(f,K)|0)+Math.imul(h,J)|0))<<13)|0;u=((a=a+Math.imul(h,K)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(A,U)|0,a=Math.imul(A,V),n=n+Math.imul(b,q)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,q)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(y,W)|0,i=(i=i+Math.imul(y,Z)|0)+Math.imul(m,W)|0,a=a+Math.imul(m,Z)|0,n=n+Math.imul(d,J)|0,i=(i=i+Math.imul(d,K)|0)+Math.imul(v,J)|0,a=a+Math.imul(v,K)|0;var bt=(u+(n=n+Math.imul(f,Q)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,Q)|0))<<13)|0;u=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,q)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(A,q)|0,a=a+Math.imul(A,G)|0,n=n+Math.imul(b,W)|0,i=(i=i+Math.imul(b,Z)|0)+Math.imul(_,W)|0,a=a+Math.imul(_,Z)|0,n=n+Math.imul(y,J)|0,i=(i=i+Math.imul(y,K)|0)+Math.imul(m,J)|0,a=a+Math.imul(m,K)|0,n=n+Math.imul(d,Q)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(v,Q)|0,a=a+Math.imul(v,tt)|0;var _t=(u+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;u=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=(i=Math.imul(L,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(M,q)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,q)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,W)|0,i=(i=i+Math.imul(T,Z)|0)+Math.imul(A,W)|0,a=a+Math.imul(A,Z)|0,n=n+Math.imul(b,J)|0,i=(i=i+Math.imul(b,K)|0)+Math.imul(_,J)|0,a=a+Math.imul(_,K)|0,n=n+Math.imul(y,Q)|0,i=(i=i+Math.imul(y,tt)|0)+Math.imul(m,Q)|0,a=a+Math.imul(m,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(v,rt)|0,a=a+Math.imul(v,nt)|0;var wt=(u+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;u=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(O,U),i=(i=Math.imul(O,V))+Math.imul(I,U)|0,a=Math.imul(I,V),n=n+Math.imul(L,q)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,q)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,W)|0,i=(i=i+Math.imul(M,Z)|0)+Math.imul(S,W)|0,a=a+Math.imul(S,Z)|0,n=n+Math.imul(T,J)|0,i=(i=i+Math.imul(T,K)|0)+Math.imul(A,J)|0,a=a+Math.imul(A,K)|0,n=n+Math.imul(b,Q)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,Q)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(y,rt)|0,i=(i=i+Math.imul(y,nt)|0)+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(v,at)|0,a=a+Math.imul(v,ot)|0;var 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At=(u+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;u=((a=a+Math.imul(h,ht)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(z,q)|0,i=(i=i+Math.imul(z,G)|0)+Math.imul(R,q)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(O,W)|0,i=(i=i+Math.imul(O,Z)|0)+Math.imul(I,W)|0,a=a+Math.imul(I,Z)|0,n=n+Math.imul(L,J)|0,i=(i=i+Math.imul(L,K)|0)+Math.imul(C,J)|0,a=a+Math.imul(C,K)|0,n=n+Math.imul(M,Q)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,Q)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(A,rt)|0,a=a+Math.imul(A,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(y,lt)|0,i=(i=i+Math.imul(y,ut)|0)+Math.imul(m,lt)|0,a=a+Math.imul(m,ut)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(v,ft)|0,a=a+Math.imul(v,ht)|0;var kt=(u+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,vt)|0)+Math.imul(h,dt)|0))<<13)|0;u=((a=a+Math.imul(h,vt)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,q),i=(i=Math.imul(B,G))+Math.imul(N,q)|0,a=Math.imul(N,G),n=n+Math.imul(z,W)|0,i=(i=i+Math.imul(z,Z)|0)+Math.imul(R,W)|0,a=a+Math.imul(R,Z)|0,n=n+Math.imul(O,J)|0,i=(i=i+Math.imul(O,K)|0)+Math.imul(I,J)|0,a=a+Math.imul(I,K)|0,n=n+Math.imul(L,Q)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,Q)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(A,at)|0,a=a+Math.imul(A,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ut)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ut)|0,n=n+Math.imul(y,ft)|0,i=(i=i+Math.imul(y,ht)|0)+Math.imul(m,ft)|0,a=a+Math.imul(m,ht)|0;var Mt=(u+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,vt)|0)+Math.imul(v,dt)|0))<<13)|0;u=((a=a+Math.imul(v,vt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,W),i=(i=Math.imul(B,Z))+Math.imul(N,W)|0,a=Math.imul(N,Z),n=n+Math.imul(z,J)|0,i=(i=i+Math.imul(z,K)|0)+Math.imul(R,J)|0,a=a+Math.imul(R,K)|0,n=n+Math.imul(O,Q)|0,i=(i=i+Math.imul(O,tt)|0)+Math.imul(I,Q)|0,a=a+Math.imul(I,tt)|0,n=n+Math.imul(L,rt)|0,i=(i=i+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ut)|0)+Math.imul(A,lt)|0,a=a+Math.imul(A,ut)|0,n=n+Math.imul(b,ft)|0,i=(i=i+Math.imul(b,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var St=(u+(n=n+Math.imul(y,dt)|0)|0)+((8191&(i=(i=i+Math.imul(y,vt)|0)+Math.imul(m,dt)|0))<<13)|0;u=((a=a+Math.imul(m,vt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,J),i=(i=Math.imul(B,K))+Math.imul(N,J)|0,a=Math.imul(N,K),n=n+Math.imul(z,Q)|0,i=(i=i+Math.imul(z,tt)|0)+Math.imul(R,Q)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(O,rt)|0,i=(i=i+Math.imul(O,nt)|0)+Math.imul(I,rt)|0,a=a+Math.imul(I,nt)|0,n=n+Math.imul(L,at)|0,i=(i=i+Math.imul(L,ot)|0)+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ut)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ut)|0,n=n+Math.imul(T,ft)|0,i=(i=i+Math.imul(T,ht)|0)+Math.imul(A,ft)|0,a=a+Math.imul(A,ht)|0;var Et=(u+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,vt)|0)+Math.imul(_,dt)|0))<<13)|0;u=((a=a+Math.imul(_,vt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,Q),i=(i=Math.imul(B,tt))+Math.imul(N,Q)|0,a=Math.imul(N,tt),n=n+Math.imul(z,rt)|0,i=(i=i+Math.imul(z,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(O,at)|0,i=(i=i+Math.imul(O,ot)|0)+Math.imul(I,at)|0,a=a+Math.imul(I,ot)|0,n=n+Math.imul(L,lt)|0,i=(i=i+Math.imul(L,ut)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ut)|0,n=n+Math.imul(M,ft)|0,i=(i=i+Math.imul(M,ht)|0)+Math.imul(S,ft)|0,a=a+Math.imul(S,ht)|0;var Lt=(u+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,vt)|0)+Math.imul(A,dt)|0))<<13)|0;u=((a=a+Math.imul(A,vt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(z,at)|0,i=(i=i+Math.imul(z,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(O,lt)|0,i=(i=i+Math.imul(O,ut)|0)+Math.imul(I,lt)|0,a=a+Math.imul(I,ut)|0,n=n+Math.imul(L,ft)|0,i=(i=i+Math.imul(L,ht)|0)+Math.imul(C,ft)|0,a=a+Math.imul(C,ht)|0;var Ct=(u+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,vt)|0)+Math.imul(S,dt)|0))<<13)|0;u=((a=a+Math.imul(S,vt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(z,lt)|0,i=(i=i+Math.imul(z,ut)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ut)|0,n=n+Math.imul(O,ft)|0,i=(i=i+Math.imul(O,ht)|0)+Math.imul(I,ft)|0,a=a+Math.imul(I,ht)|0;var Pt=(u+(n=n+Math.imul(L,dt)|0)|0)+((8191&(i=(i=i+Math.imul(L,vt)|0)+Math.imul(C,dt)|0))<<13)|0;u=((a=a+Math.imul(C,vt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ut))+Math.imul(N,lt)|0,a=Math.imul(N,ut),n=n+Math.imul(z,ft)|0,i=(i=i+Math.imul(z,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var Ot=(u+(n=n+Math.imul(O,dt)|0)|0)+((8191&(i=(i=i+Math.imul(O,vt)|0)+Math.imul(I,dt)|0))<<13)|0;u=((a=a+Math.imul(I,vt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var It=(u+(n=n+Math.imul(z,dt)|0)|0)+((8191&(i=(i=i+Math.imul(z,vt)|0)+Math.imul(R,dt)|0))<<13)|0;u=((a=a+Math.imul(R,vt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863;var Dt=(u+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,vt))+Math.imul(N,dt)|0))<<13)|0;return u=((a=Math.imul(N,vt))+(i>>>13)|0)+(Dt>>>26)|0,Dt&=67108863,l[0]=gt,l[1]=yt,l[2]=mt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=At,l[9]=kt,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Pt,l[16]=Ot,l[17]=It,l[18]=Dt,0!==u&&(l[19]=u,r.length++),r};function v(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r,n=this.length+t.length;return r=10===this.length&&10===t.length?d(this,t,e):n<63?p(this,t,e):n<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a<r.length-1;a++){var o=i;i=0;for(var s=67108863&n,l=Math.min(a,e.length-1),u=Math.max(0,a-t.length+1);u<=l;u++){var c=a-u,f=(0|t.words[c])*(0|e.words[u]),h=67108863&f;s=67108863&(h=h+s|0),i+=(o=(o=o+(f/67108864|0)|0)+(h>>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):v(this,t,e),r},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},g.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i<e;i++)n|=(1&t)<<e-i-1,t>>=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o<a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},g.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o<i;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),u=Math.sin(2*Math.PI/s),c=0;c<i;c+=s)for(var f=l,h=u,p=0;p<o;p++){var d=r[c+p],v=n[c+p],g=r[c+p+o],y=n[c+p+o],m=f*g-h*y;y=f*y+h*g,g=m,r[c+p]=d+g,n[c+p]=v+y,r[c+p+o]=d-g,n[c+p+o]=v-y,p!==s&&(m=l*f-u*h,h=l*h+u*f,f=m)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,i=0;for(r=r/2|0;r;r>>>=1)i++;return 1<<i+1+n},g.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var i=t[n];t[n]=t[r-n-1],t[r-n-1]=i,i=e[n],e[n]=-e[r-n-1],e[r-n-1]=-i}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&i,r=i<67108864?0:i/67108864|0}return t},g.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o<e;o++)a+=0|t[o],r[2*o]=8191&a,a>>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o<i;++o)r[o]=0;n(0===a),n(!(-8192&a))},g.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},g.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(n),a=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),u=new Array(n),c=new Array(n),f=new Array(n),h=r.words;h.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,u,n),this.transform(o,a,s,l,n,i),this.transform(u,a,c,f,n,i);for(var p=0;p<n;p++){var d=s[p]*c[p]-l[p]*f[p];l[p]=s[p]*f[p]+l[p]*c[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,h,a,n,i),this.conjugate(h,a,n),this.normalize13b(h,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},a.prototype.mul=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},a.prototype.mulf=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),v(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n("number"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var i=(0|this.words[r])*t,a=(67108863&i)+(67108863&e);e>>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,i=r%26;e[r]=(t.words[n]&1<<i)>>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var i=r.sqr();n<e.length;n++,i=i.sqr())0!==e[n]&&(r=r.mul(i));return r},a.prototype.iushln=function(t){n("number"==typeof t&&t>=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&a,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e<i;e++)this.words[e]=0;this.length+=i}return this.strip()},a.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},a.prototype.iushrn=function(t,e,r){var i;n("number"==typeof t&&t>=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<<a,l=r;if(i-=o,i=Math.max(0,i),l){for(var u=0;u<o;u++)l.words[u]=this.words[u];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,u=0;u<this.length;u++)this.words[u]=this.words[u+o];else this.words[0]=0,this.length=1;var c=0;for(u=this.length-1;u>=0&&(0!==c||u>=i);u--){var f=0|this.words[u];this.words[u]=c<<26-a|f>>>a,c=f&s}return l&&0!==c&&(l.words[l.length++]=c),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n("number"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<<e;return!(this.length<=r||!(this.words[r]&i))},a.prototype.imaskn=function(t){n("number"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,"imaskn works only with positive numbers"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<<e;this.words[this.length-1]&=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n("number"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},a.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n("number"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},a.prototype.addn=function(t){return this.clone().iaddn(t)},a.prototype.subn=function(t){return this.clone().isubn(t)},a.prototype.iabs=function(){return this.negative=0,this},a.prototype.abs=function(){return this.clone().iabs()},a.prototype._ishlnsubmul=function(t,e,r){var i,a,o=t.length+r;this._expand(o);var s=0;for(i=0;i<t.length;i++){a=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;s=((a-=67108863&l)>>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i<this.length-r;i++)s=(a=(0|this.words[i+r])+s)>>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i<this.length;i++)s=(a=-(0|this.words[i])+s)>>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!=(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if("mod"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var u=0;u<s.length;u++)s.words[u]=0}var c=n.clone()._ishlnsubmul(i,1,l);0===c.negative&&(n=c,s&&(s.words[l]=1));for(var f=l-1;f>=0;f--){var h=67108864*(0|n.words[i.length+f])+(0|n.words[i.length+f-1]);for(h=Math.min(h/o|0,67108863),n._ishlnsubmul(i,h,f);0!==n.negative;)h--,n.negative=0,n._ishlnsubmul(i,1,f),n.isZero()||(n.negative^=1);s&&(s.words[f]=h)}return s&&s.strip(),n.strip(),"div"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),"mod"!==e&&(i=s.div.neg()),"div"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),"mod"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!==(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),"div"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?"div"===e?{div:this.divn(t.words[0]),mod:null}:"mod"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,"div",!1).div},a.prototype.mod=function(t){return this.divmod(t,"mod",!1).mod},a.prototype.umod=function(t){return this.divmod(t,"mod",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),u=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++u;for(var c=r.clone(),f=e.clone();!e.isZero();){for(var h=0,p=1;0===(e.words[0]&p)&&h<26;++h,p<<=1);if(h>0)for(e.iushrn(h);h-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(c),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,v=1;0===(r.words[0]&v)&&d<26;++d,v<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(c),l.isub(f)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(u)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var u=0,c=1;0===(e.words[0]&c)&&u<26;++u,c<<=1);if(u>0)for(e.iushrn(u);u-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var f=0,h=1;0===(r.words[0]&h)&&f<26;++f,h<<=1);if(f>0)for(r.iushrn(f);f-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return!(1&this.words[0])},a.prototype.isOdd=function(){return!(1&~this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n("number"==typeof t);var e=t%26,r=(t-e)/26,i=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&&o<this.length;o++){var s=0|this.words[o];a=(s+=a)>>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,"Number is too big");var i=0|this.words[0];e=i===t?0:i<t?-1:1}return 0!==this.negative?0|-e:e},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},a.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n<i?e=-1:n>i&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new T(t)},a.prototype.toRed=function(t){return n(!this.red,"Already a number in reduction context"),n(0===this.negative,"red works only with positives"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,"fromRed works only with numbers in reduction context"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,"Already a number in reduction context"),this._forceRed(t)},a.prototype.redAdd=function(t){return n(this.red,"redAdd works only with red numbers"),this.red.add(this,t)},a.prototype.redIAdd=function(t){return n(this.red,"redIAdd works only with red numbers"),this.red.iadd(this,t)},a.prototype.redSub=function(t){return n(this.red,"redSub works only with red numbers"),this.red.sub(this,t)},a.prototype.redISub=function(t){return n(this.red,"redISub works only with red numbers"),this.red.isub(this,t)},a.prototype.redShl=function(t){return n(this.red,"redShl works only with red numbers"),this.red.shl(this,t)},a.prototype.redMul=function(t){return n(this.red,"redMul works only with red numbers"),this.red._verify2(this,t),this.red.mul(this,t)},a.prototype.redIMul=function(t){return n(this.red,"redMul works only with red numbers"),this.red._verify2(this,t),this.red.imul(this,t)},a.prototype.redSqr=function(){return n(this.red,"redSqr works only with red numbers"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,"redISqr works only with red numbers"),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,"redSqrt works only with red numbers"),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,"redInvm works only with red numbers"),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,"redNeg works only with red numbers"),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&&!t.red,"redPow(normalNum)"),this.red._verify1(this),this.red.pow(this,t)};var y={k256:null,p224:null,p192:null,p25519:null};function m(t,e){this.name=t,this.p=new a(e,16),this.n=this.p.bitLength(),this.k=new a(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function x(){m.call(this,"k256","ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f")}function b(){m.call(this,"p224","ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001")}function _(){m.call(this,"p192","ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff")}function w(){m.call(this,"25519","7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed")}function T(t){if("string"==typeof t){var e=a._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),"modulus must be greater than 1"),this.m=t,this.prime=null}function A(t){T.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}m.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},m.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),e=(r=(r=this.imulK(r)).iadd(this.tmp)).bitLength()}while(e>this.n);var n=e<this.n?-1:r.ucmp(this.p);return 0===n?(r.words[0]=0,r.length=1):n>0?r.isub(this.p):void 0!==r.strip?r.strip():r._strip(),r},m.prototype.split=function(t,e){t.iushrn(this.n,0,e)},m.prototype.imulK=function(t){return t.imul(this.k)},i(x,m),x.prototype.split=function(t,e){for(var r=4194303,n=Math.min(t.length,9),i=0;i<n;i++)e.words[i]=t.words[i];if(e.length=n,t.length<=9)return t.words[0]=0,void(t.length=1);var a=t.words[9];for(e.words[e.length++]=a&r,i=10;i<t.length;i++){var o=0|t.words[i];t.words[i-10]=(o&r)<<4|a>>>22,a=o}a>>>=22,t.words[i-10]=a,0===a&&t.length>10?t.length-=10:t.length-=9},x.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r<t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&e,e=64*n+(e/67108864|0)}return 0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},i(b,m),i(_,m),i(w,m),w.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,i=67108863&n;n>>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(y[t])return y[t];var e;if("k256"===t)e=new x;else if("p224"===t)e=new b;else if("p192"===t)e=new _;else{if("p25519"!==t)throw new Error("Unknown prime "+t);e=new w}return y[t]=e,e},T.prototype._verify1=function(t){n(0===t.negative,"red works only with positives"),n(t.red,"red works only with red numbers")},T.prototype._verify2=function(t,e){n(0===(t.negative|e.negative),"red works only with positives"),n(t.red&&t.red===e.red,"red works only with red numbers")},T.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},T.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},T.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},T.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},T.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},T.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},T.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},T.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},T.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},T.prototype.isqr=function(t){return this.imul(t,t.clone())},T.prototype.sqr=function(t){return this.mul(t,t)},T.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return this.pow(t,r)}for(var i=this.m.subn(1),o=0;!i.isZero()&&0===i.andln(1);)o++,i.iushrn(1);n(!i.isZero());var s=new a(1).toRed(this),l=s.redNeg(),u=this.m.subn(1).iushrn(1),c=this.m.bitLength();for(c=new a(2*c*c).toRed(this);0!==this.pow(c,u).cmp(l);)c.redIAdd(l);for(var f=this.pow(c,i),h=this.pow(t,i.addn(1).iushrn(1)),p=this.pow(t,i),d=o;0!==p.cmp(s);){for(var v=p,g=0;0!==v.cmp(s);g++)v=v.redSqr();n(g<d);var y=this.pow(f,new a(1).iushln(d-g-1));h=h.redMul(y),f=y.redSqr(),p=p.redMul(f),d=g}return h},T.prototype.invm=function(t){var e=t._invmp(this.m);return 0!==e.negative?(e.negative=0,this.imod(e).redNeg()):this.imod(e)},T.prototype.pow=function(t,e){if(e.isZero())return new a(1).toRed(this);if(0===e.cmpn(1))return t.clone();var r=new Array(16);r[0]=new a(1).toRed(this),r[1]=t;for(var n=2;n<r.length;n++)r[n]=this.mul(r[n-1],t);var i=r[0],o=0,s=0,l=e.bitLength()%26;for(0===l&&(l=26),n=e.length-1;n>=0;n--){for(var u=e.words[n],c=l-1;c>=0;c--){var f=u>>c&1;i!==r[0]&&(i=this.sqr(i)),0!==f||0!==o?(o<<=1,o|=f,(4===++s||0===n&&0===c)&&(i=this.mul(i,r[o]),s=0,o=0)):s=0}l=26}return i},T.prototype.convertTo=function(t){var e=t.umod(this.m);return e===t?e.clone():e},T.prototype.convertFrom=function(t){var e=t.clone();return e.red=null,e},a.mont=function(t){return new A(t)},i(A,T),A.prototype.convertTo=function(t){return this.imod(t.ushln(this.shift))},A.prototype.convertFrom=function(t){var e=this.imod(t.mul(this.rinv));return e.red=null,e},A.prototype.imul=function(t,e){if(t.isZero()||e.isZero())return t.words[0]=0,t.length=1,t;var r=t.imul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),a=i;return i.cmp(this.m)>=0?a=i.isub(this.m):i.cmpn(0)<0&&(a=i.iadd(this.m)),a._forceRed(this)},A.prototype.mul=function(t,e){if(t.isZero()||e.isZero())return new a(0)._forceRed(this);var 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f=o[o.length-2];for(f.left===s?f.left=null:f.right===s&&(f.right=null),o.pop(),l=0;l<o.length;++l)o[l]._count--;return new a(this.tree._compare,o[0])}if(s.left||s.right){for(s.left?h(s,s.left):s.right&&h(s,s.right),s._color=1,l=0;l<o.length-1;++l)o[l]._count--;return new a(this.tree._compare,o[0])}if(1===o.length)return new a(this.tree._compare,null);for(l=0;l<o.length;++l)o[l]._count--;var p=o[o.length-2];return function(t){for(var e,a,o,s,l=t.length-1;l>=0;--l){if(e=t[l],0===l)return void(e._color=1);if((a=t[l-1]).left===e){if((o=a.right).right&&0===o.right._color)return s=(o=a.right=r(o)).right=r(o.right),a.right=o.left,o.left=a,o.right=s,o._color=a._color,e._color=1,a._color=1,s._color=1,i(a),i(o),l>1&&((u=t[l-2]).left===a?u.left=o:u.right=o),void(t[l-1]=o);if(o.left&&0===o.left._color)return s=(o=a.right=r(o)).left=r(o.left),a.right=s.left,o.left=s.right,s.left=a,s.right=o,s._color=a._color,a._color=1,o._color=1,e._color=1,i(a),i(o),i(s),l>1&&((u=t[l-2]).left===a?u.left=s:u.right=s),void(t[l-1]=s);if(1===o._color){if(0===a._color)return a._color=1,void(a.right=n(0,o));a.right=n(0,o);continue}o=r(o),a.right=o.left,o.left=a,o._color=a._color,a._color=0,i(a),i(o),l>1&&((u=t[l-2]).left===a?u.left=o:u.right=o),t[l-1]=o,t[l]=a,l+1<t.length?t[l+1]=e:t.push(e),l+=2}else{if((o=a.left).left&&0===o.left._color)return s=(o=a.left=r(o)).left=r(o.left),a.left=o.right,o.right=a,o.left=s,o._color=a._color,e._color=1,a._color=1,s._color=1,i(a),i(o),l>1&&((u=t[l-2]).right===a?u.right=o:u.left=o),void(t[l-1]=o);if(o.right&&0===o.right._color)return 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a(this.tree._compare,n[0])},f.prev=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.left)for(e=e.left;e;)t.push(e),e=e.right;else for(t.pop();t.length>0&&t[t.length-1].left===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(f,"hasPrev",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].left)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].right===t[e])return!0;return!1}})},7453:function(t,e,r){"use strict";t.exports=function(t,e){var r=new c(t);return r.update(e),r};var n=r(9557),i=r(1681),a=r(1011),o=r(2864),s=r(8468),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]);function u(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function 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v=l("labels");l("labelFont")&&(v=!0),o("labelEnable"),a("labelSize"),a("labelPad"),u("labelColor"),o("lineEnable"),o("lineMirror"),a("lineWidth"),u("lineColor"),o("lineTickEnable"),o("lineTickMirror"),a("lineTickLength"),a("lineTickWidth"),u("lineTickColor"),o("gridEnable"),a("gridWidth"),u("gridColor"),o("zeroEnable"),u("zeroLineColor"),a("zeroLineWidth"),o("backgroundEnable"),u("backgroundColor"),this._text?this._text&&(v||c)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&c&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var p=[new h,new h,new h];function d(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,u=n[e],c=0;c<3;++c)if(e!==c){var f=a,h=s,p=o,d=l;u&1<<c&&(f=s,h=a,p=l,d=o),f[c]=r[0][c],h[c]=r[1][c],i[c]>0?(p[c]=-1,d[c]=0):(p[c]=0,d[c]=1)}}var v=[0,0,0],g={model:l,view:l,projection:l,_ortho:!1};f.isOpaque=function(){return!0},f.isTransparent=function(){return!1},f.drawTransparent=function(t){};var y=[0,0,0],m=[0,0,0],x=[0,0,0];f.draw=function(t){t=t||g;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,c=o(r,n,i,a,s),f=c.cubeEdges,h=c.axis,b=n[12],_=n[13],w=n[14],T=n[15],A=(s?2:1)*this.pixelRatio*(i[3]*b+i[7]*_+i[11]*w+i[15]*T)/e.drawingBufferHeight,k=0;k<3;++k)this.lastCubeProps.cubeEdges[k]=f[k],this.lastCubeProps.axis[k]=h[k];var M=p;for(k=0;k<3;++k)d(p[k],k,this.bounds,f,h);e=this.gl;var S,E,L,C=v;for(k=0;k<3;++k)this.backgroundEnable[k]?C[k]=h[k]:C[k]=0;for(this._background.draw(r,n,i,a,C,this.backgroundColor),this._lines.bind(r,n,i,this),k=0;k<3;++k){var P=[0,0,0];h[k]>0?P[k]=a[1][k]:P[k]=a[0][k];for(var O=0;O<2;++O){var 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B=A/r[5*O];z[O]*=F[O]*B,R[O]*=F[O]*B}this.lineTickEnable[k]&&this._lines.drawAxisTicks(k,M[k].primalOffset,z,this.lineTickColor[k],this.lineTickWidth[k]*this.pixelRatio),this.lineTickMirror[k]&&this._lines.drawAxisTicks(k,M[k].mirrorOffset,R,this.lineTickColor[k],this.lineTickWidth[k]*this.pixelRatio)}function N(t){(L=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio),k=0;k<3;++k){var U=M[k].primalMinor,V=M[k].mirrorMinor,H=u(x,M[k].primalOffset);for(O=0;O<3;++O)this.lineTickEnable[k]&&(H[O]+=A*U[O]*Math.max(this.lineTickLength[O],0)/r[5*O]);var q=[0,0,0];if(q[k]=1,this.tickEnable[k]){for(-3600===this.tickAngle[k]?(this.tickAngle[k]=0,this.tickAlign[k]="auto"):this.tickAlign[k]=-1,E=1,"auto"===(S=[this.tickAlign[k],.5,E])[0]?S[0]=0:S[0]=parseInt(""+S[0]),L=[0,0,0],j(k,U,V),O=0;O<3;++O)H[O]+=A*U[O]*this.tickPad[O]/r[5*O];this._text.drawTicks(k,this.tickSize[k],this.tickAngle[k],H,this.tickColor[k],q,L,S)}if(this.labelEnable[k]){for(E=0,L=[0,0,0],this.labels[k].length>4&&(N(k),E=1),"auto"===(S=[this.labelAlign[k],.5,E])[0]?S[0]=0:S[0]=parseInt(""+S[0]),O=0;O<3;++O)H[O]+=A*U[O]*this.labelPad[O]/r[5*O];H[k]+=.5*(a[0][k]+a[1][k]),this._text.drawLabel(k,this.labelSize[k],this.labelAngle[k],H,this.labelColor[k],[0,0,0],L,S)}}this._text.unbind()},f.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},1011:function(t,e,r){"use strict";t.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var u=(l+1)%3,c=(l+2)%3,f=[0,0,0],h=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=p,h[l]=p;for(var d=-1;d<=1;d+=2){f[u]=d;for(var v=-1;v<=1;v+=2)f[c]=v,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var g=u;u=c,c=g}var y=n(t,new Float32Array(e)),m=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:y,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:y,type:t.FLOAT,size:3,offset:12,stride:24}],m),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,y,x,b)};var n=r(5827),i=r(2944),a=r(1943).bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},2864:function(t,e,r){"use strict";t.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var m=0,x=0;x<2;++x){c[2]=a[x][2];for(var b=0;b<2;++b){c[1]=a[b][1];for(var _=0;_<2;++_)c[0]=a[_][0],h(l[m],c,s),m+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],A=0;A<3;++A)u[x][A]=l[x][A]/T;p&&(u[x][2]*=-1),T<0&&(w<0||u[x][2]<u[w][2])&&(w=x)}if(w<0){w=0;for(var k=0;k<3;++k){for(var M=(k+2)%3,S=(k+1)%3,E=-1,L=-1,C=0;C<2;++C){var P=(I=C<<k)+(C<<M)+(1-C<<S),O=I+(1-C<<M)+(C<<S);o(u[I],u[P],u[O],f)<0||(C?E=1:L=1)}if(E<0||L<0)L>E&&(w|=1<<k);else{for(C=0;C<2;++C){P=(I=C<<k)+(C<<M)+(1-C<<S),O=I+(1-C<<M)+(C<<S);var I,D=d([l[I],l[P],l[O],l[I+(1<<M)+(1<<S)]]);C?E=D:L=D}L>E&&(w|=1<<k)}}}var z=7^w,R=-1;for(x=0;x<8;++x)x!==w&&x!==z&&(R<0||u[R][1]>u[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x)(N=R^1<<x)!==w&&N!==z&&(F<0&&(F=N),(S=u[N])[0]<u[F][0]&&(F=N));var B=-1;for(x=0;x<3;++x){var N;(N=R^1<<x)!==w&&N!==z&&N!==F&&(B<0&&(B=N),(S=u[N])[0]>u[B][0]&&(B=N))}var j=v;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===z?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=g,H=w;for(k=0;k<3;++k)V[k]=H&1<<k?-1:1;return y};var n=r(2288),i=r(104),a=r(4670),o=r(417),s=new Array(16),l=new Array(8),u=new Array(8),c=new Array(3),f=[0,0,0];function h(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var i=0;i<3;++i)t[n]+=e[i]*r[4*i+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],u[t]=[1,1,1]}();var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function d(t){for(var e=0;e<p.length;++e)if((t=a.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],i=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],u=s[0]/s[3]-n,c=s[1]/s[3]-i,f=l[0]/l[3]-n,h=l[1]/l[3]-i;o+=Math.abs(u*h-c*f)}return o}var v=[1,1,1],g=[0,0,0],y={cubeEdges:v,axis:g}},1681:function(t,e,r){"use strict";t.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],u=[0,0,0],c=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var f=0;f<3;++f){for(var h=o.length/3|0,d=0;d<r[f].length;++d){var v=+r[f][d].x;o.push(v,0,1,v,1,1,v,0,-1,v,0,-1,v,1,1,v,1,-1)}var g=o.length/3|0;s[f]=h,l[f]=g-h,h=o.length/3|0;for(var y=0;y<r[f].length;++y)v=+r[f][y].x,o.push(v,0,1,v,1,1,v,0,-1,v,0,-1,v,1,1,v,1,-1);g=o.length/3|0,u[f]=h,c[f]=g-h}var m=n(t,new Float32Array(o)),x=i(t,[{buffer:m,type:t.FLOAT,size:3,stride:0,offset:0}]),b=a(t);return b.attributes.position.location=0,new p(t,m,x,b,l,s,c,u)};var n=r(5827),i=r(2944),a=r(1943).j,o=[0,0,0],s=[0,0,0],l=[0,0,0],u=[0,0,0],c=[1,1];function f(t){return t[0]=t[1]=t[2]=0,t}function h(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,i,a,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=i,this.tickOffset=a,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,c[0]=this.gl.drawingBufferWidth,c[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=c,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,i){var a=f(s);this.shader.uniforms.majorAxis=s,a[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=a;var o,c=h(u,r);c[t]+=e[0][t],this.shader.uniforms.offset=c,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=n,(o=f(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=f(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,i){if(this.tickCount[t]){var a=f(o);a[t]=1,this.shader.uniforms.majorAxis=a,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=i;var s=f(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},d.drawGrid=function(t,e,r,n,i,a){if(this.gridCount[t]){var c=f(s);c[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=c;var p=h(u,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=f(o);d[t]=1,this.shader.uniforms.majorAxis=d;var v=f(l);v[t]=1,this.shader.uniforms.screenAxis=v,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,i,a){var o=f(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var c=h(u,n);c[t]+=r[0][t],this.shader.uniforms.offset=c;var p=f(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},1943:function(t,e,r){"use strict";var n=r(6832),i=r(5158),a=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\n\nuniform mat4 model, view, projection;\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\nuniform float lineWidth;\nuniform vec2 screenShape;\n\nvec3 project(vec3 p) {\n  vec4 pp = projection * view * model * vec4(p, 1.0);\n  return pp.xyz / max(pp.w, 0.0001);\n}\n\nvoid main() {\n  vec3 major = position.x * majorAxis;\n  vec3 minor = position.y * minorAxis;\n\n  vec3 vPosition = major + minor + offset;\n  vec3 pPosition = project(vPosition);\n  vec3 offset = project(vPosition + screenAxis * position.z);\n\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\n\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\n}\n"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 color;\nvoid main() {\n  gl_FragColor = color;\n}"]);e.j=function(t){return i(t,a,o,null,[{name:"position",type:"vec3"}])};var s=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\n\nuniform mat4 model, view, projection;\nuniform vec3 offset, axis, alignDir, alignOpt;\nuniform float scale, angle, pixelScale;\nuniform vec2 resolution;\n\nvec3 project(vec3 p) {\n  vec4 pp = projection * view * model * vec4(p, 1.0);\n  return pp.xyz / max(pp.w, 0.0001);\n}\n\nfloat computeViewAngle(vec3 a, vec3 b) {\n  vec3 A = project(a);\n  vec3 B = project(b);\n\n  return atan(\n    (B.y - A.y) * resolution.y,\n    (B.x - A.x) * resolution.x\n  );\n}\n\nconst float PI = 3.141592;\nconst float TWO_PI = 2.0 * PI;\nconst float HALF_PI = 0.5 * PI;\nconst float ONE_AND_HALF_PI = 1.5 * PI;\n\nint option = int(floor(alignOpt.x + 0.001));\nfloat hv_ratio =       alignOpt.y;\nbool enableAlign =    (alignOpt.z != 0.0);\n\nfloat mod_angle(float a) {\n  return mod(a, PI);\n}\n\nfloat positive_angle(float a) {\n  return mod_angle((a < 0.0) ?\n    a + TWO_PI :\n    a\n  );\n}\n\nfloat look_upwards(float a) {\n  float b = positive_angle(a);\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\n    b - PI :\n    b;\n}\n\nfloat look_horizontal_or_vertical(float a, float ratio) {\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\n  // if ratio is set to 0.5 then it is 50%, 50%.\n  // when using a higher ratio e.g. 0.75 the result would\n  // likely be more horizontal than vertical.\n\n  float b = positive_angle(a);\n\n  return\n    (b < (      ratio) * HALF_PI) ? 0.0 :\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\n                                    0.0;\n}\n\nfloat roundTo(float a, float b) {\n  return float(b * floor((a + 0.5 * b) / b));\n}\n\nfloat look_round_n_directions(float a, int n) {\n  float b = positive_angle(a);\n  float div = TWO_PI / float(n);\n  float c = roundTo(b, div);\n  return look_upwards(c);\n}\n\nfloat applyAlignOption(float rawAngle, float delta) {\n  return\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\n                    rawAngle;                // otherwise return back raw input angle\n}\n\nbool isAxisTitle = (axis.x == 0.0) &&\n                   (axis.y == 0.0) &&\n                   (axis.z == 0.0);\n\nvoid main() {\n  //Compute world offset\n  float axisDistance = position.z;\n  vec3 dataPosition = axisDistance * axis + offset;\n\n  float beta = angle; // i.e. user defined attributes for each tick\n\n  float axisAngle;\n  float clipAngle;\n  float flip;\n\n  if (enableAlign) {\n    axisAngle = (isAxisTitle) ? HALF_PI :\n                      computeViewAngle(dataPosition, dataPosition + axis);\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\n\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\n\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\n\n    beta += applyAlignOption(clipAngle, flip * PI);\n  }\n\n  //Compute plane offset\n  vec2 planeCoord = position.xy * pixelScale;\n\n  mat2 planeXform = scale * mat2(\n     cos(beta), sin(beta),\n    -sin(beta), cos(beta)\n  );\n\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\n\n  //Compute clip position\n  vec3 clipPosition = project(dataPosition);\n\n  //Apply text offset in clip coordinates\n  clipPosition += vec3(viewOffset, 0.0);\n\n  //Done\n  gl_Position = vec4(clipPosition, 1.0);\n}"]),l=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 color;\nvoid main() {\n  gl_FragColor = color;\n}"]);e.f=function(t){return i(t,s,l,null,[{name:"position",type:"vec3"}])};var u=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec3 normal;\n\nuniform mat4 model, view, projection;\nuniform vec3 enable;\nuniform vec3 bounds[2];\n\nvarying vec3 colorChannel;\n\nvoid main() {\n\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\n\n  vec3 realNormal = signAxis * normal;\n\n  if(dot(realNormal, enable) > 0.0) {\n    vec3 minRange = min(bounds[0], bounds[1]);\n    vec3 maxRange = max(bounds[0], bounds[1]);\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\n    gl_Position = projection * view * model * vec4(nPosition, 1.0);\n  } else {\n    gl_Position = vec4(0,0,0,0);\n  }\n\n  colorChannel = abs(realNormal);\n}"]),c=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 colors[3];\n\nvarying vec3 colorChannel;\n\nvoid main() {\n  gl_FragColor = colorChannel.x * colors[0] +\n                 colorChannel.y * colors[1] +\n                 colorChannel.z * colors[2];\n}"]);e.bg=function(t){return i(t,u,c,null,[{name:"position",type:"vec3"},{name:"normal",type:"vec3"}])}},9557:function(t,e,r){"use strict";t.exports=function(t,e,r,i,o,l){var u=n(t),f=a(t,[{buffer:u,size:3}]),h=s(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,i,o,l),p};var n=r(5827),a=r(2944),o=r(875),s=r(1943).f,l=window||i.global||{},u=l.__TEXT_CACHE||{};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}l.__TEXT_CACHE={};var f=c.prototype,h=[0,0];f.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,h[0]=this.gl.drawingBufferWidth,h[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=h},f.unbind=function(){this.vao.unbind()},f.update=function(t,e,r,n,i){var a=[];function s(t,e,r,n,i,s){var l=u[r];l||(l=u[r]={});var c=l[e];c||(c=l[e]=function(t,e){try{return o(t,e)}catch(e){return console.warn('error vectorizing text:"'+t+'" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:"center",textBaseline:"middle",lineSpacing:i,styletags:s}));for(var f=(n||12)/12,h=c.positions,p=c.cells,d=0,v=p.length;d<v;++d)for(var g=p[d],y=2;y>=0;--y){var m=h[g[y]];a.push(f*m[0],-f*m[1],t)}}for(var l=[0,0,0],c=[0,0,0],f=[0,0,0],h=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){f[d]=a.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),h[d]=(a.length/3|0)-f[d],l[d]=a.length/3|0;for(var v=0;v<n[d].length;++v)n[d][v].text&&s(n[d][v].x,n[d][v].text,n[d][v].font||i,n[d][v].fontSize||12,1.25,p);c[d]=(a.length/3|0)-l[d]}this.buffer.update(a),this.tickOffset=l,this.tickCount=c,this.labelOffset=f,this.labelCount=h},f.drawTicks=function(t,e,r,n,i,a,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},f.drawLabel=function(t,e,r,n,i,a,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},f.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}},8468:function(t,e){"use 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h=e.model||u,p=e.view||u,y=e.projection||u,m=e._ortho||!1,x=t.bounds,b=(f=f||a(h,p,y,x,m)).axis;o(c,p,h),o(c,y,c);for(var _=v,w=0;w<3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var T=n(s(c,c));s(c,c);for(var A=0;A<3;++A){var k=(A+1)%3,M=(A+2)%3,S=g;t:for(w=0;w<2;++w){var E=[];if(b[A]<0!=!!w){S[A]=x[w][A];for(var L=0;L<2;++L){S[k]=x[L^w][k];for(var C=0;C<2;++C)S[M]=x[C^L^w][M],E.push(S.slice())}var P=m?5:4;for(L=P;L===P;++L){if(0===E.length)continue t;E=i.positive(E,T[L])}for(L=0;L<E.length;++L){M=E[L];var O=d(g,c,M,r,l);for(C=0;C<3;++C)_[C].lo=Math.min(_[C].lo,M[C]),_[C].hi=Math.max(_[C].hi,M[C]),C!==A&&(_[C].pixelsPerDataUnit=Math.min(_[C].pixelsPerDataUnit,Math.abs(O[C])))}}}}return _};var n=r(5795),i=r(4670),a=r(2864),o=r(104),s=r(2142),l=r(6342),u=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),c=new Float32Array(16);function f(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var h=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,i){for(var a=0;a<3;++a){for(var o=h,s=p,u=0;u<3;++u)s[u]=o[u]=r[u];s[3]=o[3]=1,s[a]+=1,l(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,l(o,o,e),o[3]<0&&(t[a]=1/0);var c=(o[0]/o[3]-s[0]/s[3])*n,f=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(c*c+f*f)}return t}var v=[new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0)],g=[0,0,0]},5827:function(t,e,r){"use strict";var n=r(5306),i=r(7498),a=r(5050),o=["uint8","uint8_clamped","uint16","uint32","int8","int16","int32","float32"];function s(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}var l=s.prototype;function u(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a<0)return t.bufferData(e,i,n),o;if(o+a>r)throw new Error("gl-buffer: If resizing buffer, must not specify offset");return t.bufferSubData(e,a,i),r}function c(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a<i;++a)r[a]=t[a];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if("number"!=typeof e&&(e=-1),this.bind(),"object"==typeof t&&void 0!==t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r="float32"),this.type===this.gl.ELEMENT_ARRAY_BUFFER&&(r=gl.getExtension("OES_element_index_uint")&&"uint16"!==r?"uint32":"uint16"),r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=u(this.gl,this.type,this.length,this.usage,t.data,e):this.length=u(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=u(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?c(t,"uint16"):c(t,"float32"),this.length=u(this.gl,this.type,this.length,this.usage,e<0?f:f.subarray(0,t.length),e),n.free(f)}else if("object"==typeof t&&"number"==typeof t.length)this.length=u(this.gl,this.type,this.length,this.usage,t,e);else{if("number"!=typeof t&&void 0!==t)throw new Error("gl-buffer: Invalid data type");if(e>=0)throw new Error("gl-buffer: Cannot specify offset when resizing buffer");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},t.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error("gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error("gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW");var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},1140:function(t,e,r){"use strict";var n=r(2858);t.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,u=1/0,c=-1/0,f=1/0,h=-1/0,p=null,d=null,v=[],g=1/0,y=!1,m=0;m<r.length;m++){var x=r[m];s=Math.min(x[0],s),l=Math.max(x[0],l),u=Math.min(x[1],u),c=Math.max(x[1],c),f=Math.min(x[2],f),h=Math.max(x[2],h);var b=i[m];if(n.length(b)>o&&(o=n.length(b)),m){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(g=Math.min(g,_),y=!1):y=!0}y||(p=x,d=b),v.push(b)}var w=[s,u,f],T=[l,c,h];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var A=1/o;isFinite(g)||(g=1),a.vectorScale=g;var k=t.coneSize||.5;t.absoluteConeSize&&(k=t.absoluteConeSize*A),a.coneScale=k,m=0;for(var M=0;m<r.length;m++)for(var S=(x=r[m])[0],E=x[1],L=x[2],C=v[m],P=n.length(C)*A,O=0;O<8;O++){a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vertexIntensity.push(P,P,P),a.vertexIntensity.push(P,P,P);var I=a.positions.length;a.cells.push([I-6,I-5,I-4],[I-3,I-2,I-1])}return a};var i=r(7234);t.exports.createMesh=r(5028),t.exports.createConeMesh=function(e,r){return t.exports.createMesh(e,r,{shaders:i,traceType:"cone"})}},5028:function(t,e,r){"use strict";var n=r(5158),i=r(5827),a=r(2944),o=r(8931),s=r(104),l=r(7437),u=r(5050),c=r(9156),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e,r,n,i,a,o,s,l,u,c){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=i,this.triangleVectors=a,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=u,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=c,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=f,this._view=f,this._projection=f,this._resolution=[1,1]}var p=h.prototype;p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,"lightPosition"in t&&(this.lightPosition=t.lightPosition),"opacity"in t&&(this.opacity=t.opacity),"ambient"in t&&(this.ambientLight=t.ambient),"diffuse"in t&&(this.diffuseLight=t.diffuse),"specular"in t&&(this.specularLight=t.specular),"roughness"in t&&(this.roughness=t.roughness),"fresnel"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=c({colormap:t,nshades:256,format:"rgba"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return u(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],f=[];this.cells=r,this.positions=n,this.vectors=i;var h=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,v=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],v=+t.vertexIntensityBounds[1];else for(var g=0;g<p.length;++g){var y=p[g];d=Math.min(d,y),v=Math.max(v,y)}else for(g=0;g<n.length;++g)y=n[g][2],d=Math.min(d,y),v=Math.max(v,y);for(this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],g=0;g<n.length;++g)for(var m=n[g],x=0;x<3;++x)!isNaN(m[x])&&isFinite(m[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],m[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],m[x]));var b=0;t:for(g=0;g<r.length;++g){var _=r[g];if(3===_.length){for(x=0;x<3;++x){m=n[T=_[x]];for(var w=0;w<3;++w)if(isNaN(m[w])||!isFinite(m[w]))continue t}for(x=0;x<3;++x){var T;m=n[T=_[2-x]],a.push(m[0],m[1],m[2],m[3]);var A=i[T];o.push(A[0],A[1],A[2],A[3]||0);var k,M=h;3===M.length?s.push(M[0],M[1],M[2],1):s.push(M[0],M[1],M[2],M[3]),k=p?[(p[T]-d)/(v-d),0]:[(m[2]-d)/(v-d),0],l.push(k[0],k[1]),f.push(g)}b+=1}}this.triangleCount=b,this.trianglePositions.update(a),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(f))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var u={model:r,view:n,projection:i,inverseModel:f.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};u.inverseModel=l(u.inverseModel,u.model),e.disable(e.CULL_FACE),this.texture.bind(0);var c=new Array(16);for(s(c,u.view,u.model),s(c,u.projection,c),l(c,c),o=0;o<3;++o)u.eyePosition[o]=c[12+o]/c[15];var h=c[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*c[4*o+3];for(o=0;o<3;++o){for(var p=c[12+o],d=0;d<3;++d)p+=c[4*d+o]*this.lightPosition[d];u.lightPosition[o]=p/h}if(this.triangleCount>0){var v=this.triShader;v.bind(),v.uniforms=u,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return"cone"===this.traceType?i.index=Math.floor(r[1]/48):"streamtube"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},t.exports=function(t,e,r){var s=r.shaders;1===arguments.length&&(t=(e=t).gl);var l=function(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}(t,s),c=function(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}(t,s),f=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));f.generateMipmap(),f.minFilter=t.LINEAR_MIPMAP_LINEAR,f.magFilter=t.LINEAR;var p=i(t),d=i(t),v=i(t),g=i(t),y=i(t),m=new h(t,f,l,c,p,d,y,v,g,a(t,[{buffer:p,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:v,type:t.FLOAT,size:4},{buffer:g,type:t.FLOAT,size:2},{buffer:d,type:t.FLOAT,size:4}]),r.traceType||"cone");return m.update(e),m}},7234:function(t,e,r){var n=r(6832),i=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n  // Return up-vector for only-z vector.\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n  // Assign z = 0, x = -b, y = a:\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n    return normalize(vec3(-v.y, v.x, 0.0));\n  } else {\n    return normalize(vec3(0.0, v.z, -v.y));\n  }\n}\n\n// Calculate the cone vertex and normal at the given index.\n//\n// The returned vertex is for a cone with its top at origin and height of 1.0,\n// pointing in the direction of the vector attribute.\n//\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\n// These vertices are used to make up the triangles of the cone by the following:\n//   segment + 0 top vertex\n//   segment + 1 perimeter vertex a+1\n//   segment + 2 perimeter vertex a\n//   segment + 3 center base vertex\n//   segment + 4 perimeter vertex a\n//   segment + 5 perimeter vertex a+1\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\n// To go from index to segment, floor(index / 6)\n// To go from segment to angle, 2*pi * (segment/segmentCount)\n// To go from index to segment index, index - (segment*6)\n//\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\n\n  const float segmentCount = 8.0;\n\n  float index = rawIndex - floor(rawIndex /\n    (segmentCount * 6.0)) *\n    (segmentCount * 6.0);\n\n  float segment = floor(0.001 + index/6.0);\n  float segmentIndex = index - (segment*6.0);\n\n  normal = -normalize(d);\n\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\n    return mix(vec3(0.0), -d, coneOffset);\n  }\n\n  float nextAngle = (\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\n  ) ? 1.0 : 0.0;\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\n\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\n  vec3 v2 = v1 - d;\n\n  vec3 u = getOrthogonalVector(d);\n  vec3 v = normalize(cross(u, d));\n\n  vec3 x = u * cos(angle) * length(d)*0.25;\n  vec3 y = v * sin(angle) * length(d)*0.25;\n  vec3 v3 = v2 + x + y;\n  if (segmentIndex < 3.0) {\n    vec3 tx = u * sin(angle);\n    vec3 ty = v * -cos(angle);\n    vec3 tangent = tx + ty;\n    normal = normalize(cross(v3 - v1, tangent));\n  }\n\n  if (segmentIndex == 0.0) {\n    return mix(d, vec3(0.0), coneOffset);\n  }\n  return v3;\n}\n\nattribute vec3 vector;\nattribute vec4 color, position;\nattribute vec2 uv;\n\nuniform float vectorScale, coneScale, coneOffset;\nuniform mat4 model, view, projection, inverseModel;\nuniform vec3 eyePosition, lightPosition;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  // Scale the vector magnitude to stay constant with\n  // model & view changes.\n  vec3 normal;\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n  //Lighting geometry parameters\n  vec4 cameraCoordinate = view * conePosition;\n  cameraCoordinate.xyz /= cameraCoordinate.w;\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\n  vec4 t_position  = view * conePosition;\n  gl_Position      = projection * t_position;\n\n  f_color          = color;\n  f_data           = conePosition.xyz;\n  f_position       = position.xyz;\n  f_uv             = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n  float NdotH = max(x, 0.0001);\n  float cos2Alpha = NdotH * NdotH;\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n  float roughness2 = roughness * roughness;\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n  return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n  vec3 lightDirection,\n  vec3 viewDirection,\n  vec3 surfaceNormal,\n  float roughness,\n  float fresnel) {\n\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n  //Half angle vector\n  vec3 H = normalize(lightDirection + viewDirection);\n\n  //Geometric term\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\n  float VdotH = max(dot(viewDirection, H), 0.000001);\n  float LdotH = max(dot(lightDirection, H), 0.000001);\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\n  float G = min(1.0, min(G1, G2));\n  \n  //Distribution term\n  float D = beckmannDistribution(NdotH, roughness);\n\n  //Fresnel term\n  float F = pow(1.0 - VdotN, fresnel);\n\n  //Multiply terms and done\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform sampler2D texture;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n  vec3 N = normalize(f_normal);\n  vec3 L = normalize(f_lightDirection);\n  vec3 V = normalize(f_eyeDirection);\n\n  if(gl_FrontFacing) {\n    N = -N;\n  }\n\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n\n  gl_FragColor = litColor * opacity;\n}\n"]),o=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n  // Return up-vector for only-z vector.\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n  // Assign z = 0, x = -b, y = a:\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n    return normalize(vec3(-v.y, v.x, 0.0));\n  } else {\n    return normalize(vec3(0.0, v.z, -v.y));\n  }\n}\n\n// Calculate the cone vertex and normal at the given index.\n//\n// The returned vertex is for a cone with its top at origin and height of 1.0,\n// pointing in the direction of the vector attribute.\n//\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\n// These vertices are used to make up the triangles of the cone by the following:\n//   segment + 0 top vertex\n//   segment + 1 perimeter vertex a+1\n//   segment + 2 perimeter vertex a\n//   segment + 3 center base vertex\n//   segment + 4 perimeter vertex a\n//   segment + 5 perimeter vertex a+1\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\n// To go from index to segment, floor(index / 6)\n// To go from segment to angle, 2*pi * (segment/segmentCount)\n// To go from index to segment index, index - (segment*6)\n//\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\n\n  const float segmentCount = 8.0;\n\n  float index = rawIndex - floor(rawIndex /\n    (segmentCount * 6.0)) *\n    (segmentCount * 6.0);\n\n  float segment = floor(0.001 + index/6.0);\n  float segmentIndex = index - (segment*6.0);\n\n  normal = -normalize(d);\n\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\n    return mix(vec3(0.0), -d, coneOffset);\n  }\n\n  float nextAngle = (\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\n  ) ? 1.0 : 0.0;\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\n\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\n  vec3 v2 = v1 - d;\n\n  vec3 u = getOrthogonalVector(d);\n  vec3 v = normalize(cross(u, d));\n\n  vec3 x = u * cos(angle) * length(d)*0.25;\n  vec3 y = v * sin(angle) * length(d)*0.25;\n  vec3 v3 = v2 + x + y;\n  if (segmentIndex < 3.0) {\n    vec3 tx = u * sin(angle);\n    vec3 ty = v * -cos(angle);\n    vec3 tangent = tx + ty;\n    normal = normalize(cross(v3 - v1, tangent));\n  }\n\n  if (segmentIndex == 0.0) {\n    return mix(d, vec3(0.0), coneOffset);\n  }\n  return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform float vectorScale, coneScale, coneOffset;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  vec3 normal;\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n  gl_Position = projection * view * conePosition;\n  f_id        = id;\n  f_position  = position.xyz;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3  clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n  gl_FragColor = vec4(pickId, f_id.xyz);\n}"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec4"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"vector",type:"vec3"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec4"},{name:"id",type:"vec4"},{name:"vector",type:"vec3"}]}},1950:function(t){t.exports={0:"NONE",1:"ONE",2:"LINE_LOOP",3:"LINE_STRIP",4:"TRIANGLES",5:"TRIANGLE_STRIP",6:"TRIANGLE_FAN",256:"DEPTH_BUFFER_BIT",512:"NEVER",513:"LESS",514:"EQUAL",515:"LEQUAL",516:"GREATER",517:"NOTEQUAL",518:"GEQUAL",519:"ALWAYS",768:"SRC_COLOR",769:"ONE_MINUS_SRC_COLOR",770:"SRC_ALPHA",771:"ONE_MINUS_SRC_ALPHA",772:"DST_ALPHA",773:"ONE_MINUS_DST_ALPHA",774:"DST_COLOR",775:"ONE_MINUS_DST_COLOR",776:"SRC_ALPHA_SATURATE",1024:"STENCIL_BUFFER_BIT",1028:"FRONT",1029:"BACK",1032:"FRONT_AND_BACK",1280:"INVALID_ENUM",1281:"INVALID_VALUE",1282:"INVALID_OPERATION",1285:"OUT_OF_MEMORY",1286:"INVALID_FRAMEBUFFER_OPERATION",2304:"CW",2305:"CCW",2849:"LINE_WIDTH",2884:"CULL_FACE",2885:"CULL_FACE_MODE",2886:"FRONT_FACE",2928:"DEPTH_RANGE",2929:"DEPTH_TEST",2930:"DEPTH_WRITEMASK",2931:"DEPTH_CLEAR_VALUE",2932:"DEPTH_FUNC",2960:"STENCIL_TEST",2961:"STENCIL_CLEAR_VALUE",2962:"STENCIL_FUNC",2963:"STENCIL_VALUE_MASK",2964:"STENCIL_FAIL",2965:"STENCIL_PASS_DEPTH_FAIL",2966:"STENCIL_PASS_DEPTH_PASS",2967:"STENCIL_REF",2968:"STENCIL_WRITEMASK",2978:"VIEWPORT",3024:"DITHER",3042:"BLEND",3088:"SCISSOR_BOX",3089:"SCISSOR_TEST",3106:"COLOR_CLEAR_VALUE",3107:"COLOR_WRITEMASK",3317:"UNPACK_ALIGNMENT",3333:"PACK_ALIGNMENT",3379:"MAX_TEXTURE_SIZE",3386:"MAX_VIEWPORT_DIMS",3408:"SUBPIXEL_BITS",3410:"RED_BITS",3411:"GREEN_BITS",3412:"BLUE_BITS",3413:"ALPHA_BITS",3414:"DEPTH_BITS",3415:"STENCIL_BITS",3553:"TEXTURE_2D",4352:"DONT_CARE",4353:"FASTEST",4354:"NICEST",5120:"BYTE",5121:"UNSIGNED_BYTE",5122:"SHORT",5123:"UNSIGNED_SHORT",5124:"INT",5125:"UNSIGNED_INT",5126:"FLOAT",5386:"INVERT",5890:"TEXTURE",6401:"STENCIL_INDEX",6402:"DEPTH_COMPONENT",6406:"ALPHA",6407:"RGB",6408:"RGBA",6409:"LUMINANCE",6410:"LUMINANCE_ALPHA",7680:"KEEP",7681:"REPLACE",7682:"INCR",7683:"DECR",7936:"VENDOR",7937:"RENDERER",7938:"VERSION",9728:"NEAREST",9729:"LINEAR",9984:"NEAREST_MIPMAP_NEAREST",9985:"LINEAR_MIPMAP_NEAREST",9986:"NEAREST_MIPMAP_LINEAR",9987:"LINEAR_MIPMAP_LINEAR",10240:"TEXTURE_MAG_FILTER",10241:"TEXTURE_MIN_FILTER",10242:"TEXTURE_WRAP_S",10243:"TEXTURE_WRAP_T",10497:"REPEAT",10752:"POLYGON_OFFSET_UNITS",16384:"COLOR_BUFFER_BIT",32769:"CONSTANT_COLOR",32770:"ONE_MINUS_CONSTANT_COLOR",32771:"CONSTANT_ALPHA",32772:"ONE_MINUS_CONSTANT_ALPHA",32773:"BLEND_COLOR",32774:"FUNC_ADD",32777:"BLEND_EQUATION_RGB",32778:"FUNC_SUBTRACT",32779:"FUNC_REVERSE_SUBTRACT",32819:"UNSIGNED_SHORT_4_4_4_4",32820:"UNSIGNED_SHORT_5_5_5_1",32823:"POLYGON_OFFSET_FILL",32824:"POLYGON_OFFSET_FACTOR",32854:"RGBA4",32855:"RGB5_A1",32873:"TEXTURE_BINDING_2D",32926:"SAMPLE_ALPHA_TO_COVERAGE",32928:"SAMPLE_COVERAGE",32936:"SAMPLE_BUFFERS",32937:"SAMPLES",32938:"SAMPLE_COVERAGE_VALUE",32939:"SAMPLE_COVERAGE_INVERT",32968:"BLEND_DST_RGB",32969:"BLEND_SRC_RGB",32970:"BLEND_DST_ALPHA",32971:"BLEND_SRC_ALPHA",33071:"CLAMP_TO_EDGE",33170:"GENERATE_MIPMAP_HINT",33189:"DEPTH_COMPONENT16",33306:"DEPTH_STENCIL_ATTACHMENT",33635:"UNSIGNED_SHORT_5_6_5",33648:"MIRRORED_REPEAT",33901:"ALIASED_POINT_SIZE_RANGE",33902:"ALIASED_LINE_WIDTH_RANGE",33984:"TEXTURE0",33985:"TEXTURE1",33986:"TEXTURE2",33987:"TEXTURE3",33988:"TEXTURE4",33989:"TEXTURE5",33990:"TEXTURE6",33991:"TEXTURE7",33992:"TEXTURE8",33993:"TEXTURE9",33994:"TEXTURE10",33995:"TEXTURE11",33996:"TEXTURE12",33997:"TEXTURE13",33998:"TEXTURE14",33999:"TEXTURE15",34e3:"TEXTURE16",34001:"TEXTURE17",34002:"TEXTURE18",34003:"TEXTURE19",34004:"TEXTURE20",34005:"TEXTURE21",34006:"TEXTURE22",34007:"TEXTURE23",34008:"TEXTURE24",34009:"TEXTURE25",34010:"TEXTURE26",34011:"TEXTURE27",34012:"TEXTURE28",34013:"TEXTURE29",34014:"TEXTURE30",34015:"TEXTURE31",34016:"ACTIVE_TEXTURE",34024:"MAX_RENDERBUFFER_SIZE",34041:"DEPTH_STENCIL",34055:"INCR_WRAP",34056:"DECR_WRAP",34067:"TEXTURE_CUBE_MAP",34068:"TEXTURE_BINDING_CUBE_MAP",34069:"TEXTURE_CUBE_MAP_POSITIVE_X",34070:"TEXTURE_CUBE_MAP_NEGATIVE_X",34071:"TEXTURE_CUBE_MAP_POSITIVE_Y",34072:"TEXTURE_CUBE_MAP_NEGATIVE_Y",34073:"TEXTURE_CUBE_MAP_POSITIVE_Z",34074:"TEXTURE_CUBE_MAP_NEGATIVE_Z",34076:"MAX_CUBE_MAP_TEXTURE_SIZE",34338:"VERTEX_ATTRIB_ARRAY_ENABLED",34339:"VERTEX_ATTRIB_ARRAY_SIZE",34340:"VERTEX_ATTRIB_ARRAY_STRIDE",34341:"VERTEX_ATTRIB_ARRAY_TYPE",34342:"CURRENT_VERTEX_ATTRIB",34373:"VERTEX_ATTRIB_ARRAY_POINTER",34466:"NUM_COMPRESSED_TEXTURE_FORMATS",34467:"COMPRESSED_TEXTURE_FORMATS",34660:"BUFFER_SIZE",34661:"BUFFER_USAGE",34816:"STENCIL_BACK_FUNC",34817:"STENCIL_BACK_FAIL",34818:"STENCIL_BACK_PASS_DEPTH_FAIL",34819:"STENCIL_BACK_PASS_DEPTH_PASS",34877:"BLEND_EQUATION_ALPHA",34921:"MAX_VERTEX_ATTRIBS",34922:"VERTEX_ATTRIB_ARRAY_NORMALIZED",34930:"MAX_TEXTURE_IMAGE_UNITS",34962:"ARRAY_BUFFER",34963:"ELEMENT_ARRAY_BUFFER",34964:"ARRAY_BUFFER_BINDING",34965:"ELEMENT_ARRAY_BUFFER_BINDING",34975:"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING",35040:"STREAM_DRAW",35044:"STATIC_DRAW",35048:"DYNAMIC_DRAW",35632:"FRAGMENT_SHADER",35633:"VERTEX_SHADER",35660:"MAX_VERTEX_TEXTURE_IMAGE_UNITS",35661:"MAX_COMBINED_TEXTURE_IMAGE_UNITS",35663:"SHADER_TYPE",35664:"FLOAT_VEC2",35665:"FLOAT_VEC3",35666:"FLOAT_VEC4",35667:"INT_VEC2",35668:"INT_VEC3",35669:"INT_VEC4",35670:"BOOL",35671:"BOOL_VEC2",35672:"BOOL_VEC3",35673:"BOOL_VEC4",35674:"FLOAT_MAT2",35675:"FLOAT_MAT3",35676:"FLOAT_MAT4",35678:"SAMPLER_2D",35680:"SAMPLER_CUBE",35712:"DELETE_STATUS",35713:"COMPILE_STATUS",35714:"LINK_STATUS",35715:"VALIDATE_STATUS",35716:"INFO_LOG_LENGTH",35717:"ATTACHED_SHADERS",35718:"ACTIVE_UNIFORMS",35719:"ACTIVE_UNIFORM_MAX_LENGTH",35720:"SHADER_SOURCE_LENGTH",35721:"ACTIVE_ATTRIBUTES",35722:"ACTIVE_ATTRIBUTE_MAX_LENGTH",35724:"SHADING_LANGUAGE_VERSION",35725:"CURRENT_PROGRAM",36003:"STENCIL_BACK_REF",36004:"STENCIL_BACK_VALUE_MASK",36005:"STENCIL_BACK_WRITEMASK",36006:"FRAMEBUFFER_BINDING",36007:"RENDERBUFFER_BINDING",36048:"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE",36049:"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME",36050:"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL",36051:"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE",36053:"FRAMEBUFFER_COMPLETE",36054:"FRAMEBUFFER_INCOMPLETE_ATTACHMENT",36055:"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT",36057:"FRAMEBUFFER_INCOMPLETE_DIMENSIONS",36061:"FRAMEBUFFER_UNSUPPORTED",36064:"COLOR_ATTACHMENT0",36096:"DEPTH_ATTACHMENT",36128:"STENCIL_ATTACHMENT",36160:"FRAMEBUFFER",36161:"RENDERBUFFER",36162:"RENDERBUFFER_WIDTH",36163:"RENDERBUFFER_HEIGHT",36164:"RENDERBUFFER_INTERNAL_FORMAT",36168:"STENCIL_INDEX8",36176:"RENDERBUFFER_RED_SIZE",36177:"RENDERBUFFER_GREEN_SIZE",36178:"RENDERBUFFER_BLUE_SIZE",36179:"RENDERBUFFER_ALPHA_SIZE",36180:"RENDERBUFFER_DEPTH_SIZE",36181:"RENDERBUFFER_STENCIL_SIZE",36194:"RGB565",36336:"LOW_FLOAT",36337:"MEDIUM_FLOAT",36338:"HIGH_FLOAT",36339:"LOW_INT",36340:"MEDIUM_INT",36341:"HIGH_INT",36346:"SHADER_COMPILER",36347:"MAX_VERTEX_UNIFORM_VECTORS",36348:"MAX_VARYING_VECTORS",36349:"MAX_FRAGMENT_UNIFORM_VECTORS",37440:"UNPACK_FLIP_Y_WEBGL",37441:"UNPACK_PREMULTIPLY_ALPHA_WEBGL",37442:"CONTEXT_LOST_WEBGL",37443:"UNPACK_COLORSPACE_CONVERSION_WEBGL",37444:"BROWSER_DEFAULT_WEBGL"}},6603:function(t,e,r){var n=r(1950);t.exports=function(t){return n[t]}},3110:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl,r=n(e),o=i(e,[{buffer:r,type:e.FLOAT,size:3,offset:0,stride:40},{buffer:r,type:e.FLOAT,size:4,offset:12,stride:40},{buffer:r,type:e.FLOAT,size:3,offset:28,stride:40}]),l=a(e);l.attributes.position.location=0,l.attributes.color.location=1,l.attributes.offset.location=2;var u=new s(e,r,o,l);return u.update(t),u};var n=r(5827),i=r(2944),a=r(7667),o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(t,e,r,n){this.gl=t,this.shader=n,this.buffer=e,this.vao=r,this.pixelRatio=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lineWidth=[1,1,1],this.capSize=[10,10,10],this.lineCount=[0,0,0],this.lineOffset=[0,0,0],this.opacity=1,this.hasAlpha=!1}var l=s.prototype;function u(t,e){for(var r=0;r<3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}l.isOpaque=function(){return!this.hasAlpha},l.isTransparent=function(){return this.hasAlpha},l.drawTransparent=l.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||o,i=r.projection=t.projection||o;r.model=t.model||o,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var a=n[12],s=n[13],l=n[14],u=n[15],c=(t._ortho?2:1)*this.pixelRatio*(i[3]*a+i[7]*s+i[11]*l+i[15]*u)/e.drawingBufferHeight;this.vao.bind();for(var f=0;f<3;++f)e.lineWidth(this.lineWidth[f]*this.pixelRatio),r.capSize=this.capSize[f]*c,this.lineCount[f]&&e.drawArrays(e.LINES,this.lineOffset[f],this.lineCount[f]);this.vao.unbind()};var c=function(){for(var t=new Array(3),e=0;e<3;++e){for(var r=[],n=1;n<=2;++n)for(var i=-1;i<=1;i+=2){var a=[0,0,0];a[(n+e)%3]=i,r.push(a)}t[e]=r}return t}();function f(t,e,r,n){for(var i=c[n],a=0;a<i.length;++a){var o=i[a];t.push(e[0],e[1],e[2],r[0],r[1],r[2],r[3],o[0],o[1],o[2])}return i.length}l.update=function(t){"lineWidth"in(t=t||{})&&(this.lineWidth=t.lineWidth,Array.isArray(this.lineWidth)||(this.lineWidth=[this.lineWidth,this.lineWidth,this.lineWidth])),"capSize"in t&&(this.capSize=t.capSize,Array.isArray(this.capSize)||(this.capSize=[this.capSize,this.capSize,this.capSize])),this.hasAlpha=!1,"opacity"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var e=t.color||[[0,0,0],[0,0,0],[0,0,0]],r=t.position,n=t.error;if(Array.isArray(e[0])||(e=[e,e,e]),r&&n){var i=[],a=r.length,o=0;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.lineCount=[0,0,0];for(var s=0;s<3;++s){this.lineOffset[s]=o;t:for(var l=0;l<a;++l){for(var c=r[l],h=0;h<3;++h)if(isNaN(c[h])||!isFinite(c[h]))continue t;var p,d=n[l],v=e[s];Array.isArray(v[0])&&(v=e[l]),3===v.length?v=[v[0],v[1],v[2],1]:4===v.length&&(v=[v[0],v[1],v[2],v[3]],!this.hasAlpha&&v[3]<1&&(this.hasAlpha=!0)),isNaN(d[0][s])||isNaN(d[1][s])||(d[0][s]<0&&((p=c.slice())[s]+=d[0][s],i.push(c[0],c[1],c[2],v[0],v[1],v[2],v[3],0,0,0,p[0],p[1],p[2],v[0],v[1],v[2],v[3],0,0,0),u(this.bounds,p),o+=2+f(i,p,v,s)),d[1][s]>0&&((p=c.slice())[s]+=d[1][s],i.push(c[0],c[1],c[2],v[0],v[1],v[2],v[3],0,0,0,p[0],p[1],p[2],v[0],v[1],v[2],v[3],0,0,0),u(this.bounds,p),o+=2+f(i,p,v,s)))}this.lineCount[s]=o-this.lineOffset[s]}this.buffer.update(i)}},l.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()}},7667:function(t,e,r){"use strict";var n=r(6832),i=r(5158),a=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, offset;\nattribute vec4 color;\nuniform mat4 model, view, projection;\nuniform float capSize;\nvarying vec4 fragColor;\nvarying vec3 fragPosition;\n\nvoid main() {\n  vec4 worldPosition  = model * vec4(position, 1.0);\n  worldPosition       = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\n  gl_Position         = projection * view * worldPosition;\n  fragColor           = color;\n  fragPosition        = position;\n}"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float opacity;\nvarying vec3 fragPosition;\nvarying vec4 fragColor;\n\nvoid main() {\n  if (\n    outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\n    fragColor.a * opacity == 0.\n  ) discard;\n\n  gl_FragColor = opacity * fragColor;\n}"]);t.exports=function(t){return i(t,a,o,null,[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"offset",type:"vec3"}])}},4234:function(t,e,r){"use strict";var n=r(8931);t.exports=function(t,e,r,n){i||(i=t.FRAMEBUFFER_UNSUPPORTED,a=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var u=t.getExtension("WEBGL_draw_buffers");if(!l&&u&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var i=new Array(r),a=0;a<n;++a)i[a]=t.COLOR_ATTACHMENT0+a;for(a=n;a<r;++a)i[a]=t.NONE;l[n]=i}}(t,u),Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]),"number"!=typeof e)throw new Error("gl-fbo: Missing shape parameter");var c=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>c||r<0||r>c)throw new Error("gl-fbo: Parameters are too large for FBO");var f=1;if("color"in(n=n||{})){if((f=Math.max(0|n.color,0))<0)throw new Error("gl-fbo: Must specify a nonnegative number of colors");if(f>1){if(!u)throw new Error("gl-fbo: Multiple draw buffer extension not supported");if(f>t.getParameter(u.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error("gl-fbo: Context does not support "+f+" draw buffers")}}var h=t.UNSIGNED_BYTE,p=t.getExtension("OES_texture_float");if(n.float&&f>0){if(!p)throw new Error("gl-fbo: Context does not support floating point textures");h=t.FLOAT}else n.preferFloat&&f>0&&p&&(h=t.FLOAT);var v=!0;"depth"in n&&(v=!!n.depth);var g=!1;return"stencil"in n&&(g=!!n.stencil),new d(t,e,r,h,f,v,g,u)};var i,a,o,s,l=null;function u(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function c(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function f(t){switch(t){case i:throw new Error("gl-fbo: Framebuffer unsupported");case a:throw new Error("gl-fbo: Framebuffer incomplete attachment");case o:throw new Error("gl-fbo: Framebuffer incomplete dimensions");case s:throw new Error("gl-fbo: Framebuffer incomplete missing attachment");default:throw new Error("gl-fbo: Framebuffer failed for unspecified reason")}}function h(t,e,r,i,a,o){if(!i)return null;var s=n(t,e,r,a,i);return s.magFilter=t.NEAREST,s.minFilter=t.NEAREST,s.mipSamples=1,s.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,o,t.TEXTURE_2D,s.handle,0),s}function p(t,e,r,n,i){var a=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function d(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var d=0;d<i;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var v=this,g=[0|e,0|r];Object.defineProperties(g,{0:{get:function(){return v._shape[0]},set:function(t){return v.width=t}},1:{get:function(){return v._shape[1]},set:function(t){return v.height=t}}}),this._shapeVector=g,function(t){var e=u(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),i=t._shape[0],a=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,v=t._useDepth,g=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var y=0;y<o;++y)t.color[y]=h(r,i,a,g,r.RGBA,r.COLOR_ATTACHMENT0+y);0===o?(t._color_rb=p(r,i,a,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var m=r.getExtension("WEBGL_depth_texture");m?d?t.depth=h(r,i,a,m.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):v&&(t.depth=h(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):v&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):v?t._depth_rb=p(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){for(t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null),y=0;y<t.color.length;++y)t.color[y].dispose(),t.color[y]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),c(r,e),f(x)}c(r,e)}(this)}var v=d.prototype;function g(t,e,r){if(t._destroyed)throw new Error("gl-fbo: Can't resize destroyed FBO");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,i=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>i||r<0||r>i)throw new Error("gl-fbo: Can't resize FBO, invalid dimensions");t._shape[0]=e,t._shape[1]=r;for(var a=u(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),c(n,a),f(s)),c(n,a)}}Object.defineProperties(v,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error("gl-fbo: Shape vector must be length 2");var e=0|t[0],r=0|t[1];return g(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return g(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,g(this,this._shape[0],t),t},enumerable:!1}}),v.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},v.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},3530:function(t,e,r){var n=r(8974).sprintf,i=r(6603),a=r(9365),o=r(8008);t.exports=function(t,e,r){"use strict";var s=a(e)||"of unknown name (see npm glsl-shader-name)",l="unknown type";void 0!==r&&(l=r===i.FRAGMENT_SHADER?"fragment":"vertex");for(var u=n("Error compiling %s shader %s:\n",l,s),c=n("%s%s",u,t),f=t.split("\n"),h={},p=0;p<f.length;p++){var d=f[p];if(""!==d&&"\0"!==d){var v=parseInt(d.split(":")[2]);if(isNaN(v))throw new Error(n("Could not parse error: %s",d));h[v]=d}}var g=o(e).split("\n");for(p=0;p<g.length;p++)if((h[p+3]||h[p+2]||h[p+1])&&(u+=g[p]+"\n",h[p+1])){var y=h[p+1];y=y.substr(y.split(":",3).join(":").length+1).trim(),u+=n("^^^ %s\n\n",y)}return{long:u.trim(),short:c.trim()}}},6386:function(t,e,r){"use strict";t.exports=function(t,e){var r=t.gl,n=new u(t,o(r,l.vertex,l.fragment),o(r,l.pickVertex,l.pickFragment),s(r),s(r),s(r),s(r));return n.update(e),t.addObject(n),n};var n=r(5070),i=r(9560),a=r(5306),o=r(5158),s=r(5827),l=r(1292);function u(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var c,f=u.prototype,h=[0,0,1,0,0,1,1,0,1,1,0,1];f.draw=(c=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var i=t.gl,a=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=a[2]-a[0],u=a[3]-a[1];c[0]=2*o/l,c[4]=2*s/u,c[6]=2*(r[0]-a[0])/l-1,c[7]=2*(r[1]-a[1])/u-1,e.bind();var f=e.uniforms;f.viewTransform=c,f.shape=this.shape;var h=e.attributes;this.positionBuffer.bind(),h.position.pointer(),this.weightBuffer.bind(),h.weight.pointer(i.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),h.color.pointer(i.UNSIGNED_BYTE,!0),i.drawArrays(i.TRIANGLES,0,n)}}),f.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,u=a[2]-a[0],c=a[3]-a[1],f=l[2]-l[0],h=l[3]-l[1];t[0]=2*u/f,t[4]=2*c/h,t[6]=2*(a[0]-l[0])/f-1,t[7]=2*(a[1]-l[1])/h-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var v=i.attributes;return this.positionBuffer.bind(),v.position.pointer(),this.weightBuffer.bind(),v.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),v.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r<n||r>=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},f.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var u,c,f,p,d=t.colorLevels||[0],v=t.colorValues||[0,0,0,1],g=d.length,y=this.bounds;l?(u=y[0]=r[0],c=y[1]=o[0],f=y[2]=r[r.length-1],p=y[3]=o[o.length-1]):(u=y[0]=r[0]+(r[1]-r[0])/2,c=y[1]=o[0]+(o[1]-o[0])/2,f=y[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=y[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var m=1/(f-u),x=1/(p-c),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(h.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),A=a.mallocFloat32(2*w),k=a.mallocUint8(2*w),M=a.mallocUint32(w),S=0,E=l?b-1:b,L=l?_-1:_,C=0;C<L;++C){var P,O;l?(P=x*(o[C]-c),O=x*(o[C+1]-c)):(P=C<_-1?x*(o[C]-(o[C+1]-o[C])/2-c):x*(o[C]-(o[C]-o[C-1])/2-c),O=C<_-1?x*(o[C]+(o[C+1]-o[C])/2-c):x*(o[C]+(o[C]-o[C-1])/2-c));for(var I=0;I<E;++I){var D,z;l?(D=m*(r[I]-u),z=m*(r[I+1]-u)):(D=I<b-1?m*(r[I]-(r[I+1]-r[I])/2-u):m*(r[I]-(r[I]-r[I-1])/2-u),z=I<b-1?m*(r[I]+(r[I+1]-r[I])/2-u):m*(r[I]+(r[I]-r[I-1])/2-u));for(var R=0;R<h.length;R+=2){var F,B,N,j,U=h[R],V=h[R+1],H=s[l?(C+V)*b+(I+U):C*b+I],q=n.le(d,H);if(q<0)F=v[0],B=v[1],N=v[2],j=v[3];else if(q===g-1)F=v[4*g-4],B=v[4*g-3],N=v[4*g-2],j=v[4*g-1];else{var G=(H-d[q])/(d[q+1]-d[q]),Y=1-G,W=4*q,Z=4*(q+1);F=Y*v[W]+G*v[Z],B=Y*v[W+1]+G*v[Z+1],N=Y*v[W+2]+G*v[Z+2],j=Y*v[W+3]+G*v[Z+3]}T[4*S]=255*F,T[4*S+1]=255*B,T[4*S+2]=255*N,T[4*S+3]=255*j,A[2*S]=.5*D+.5*z,A[2*S+1]=.5*P+.5*O,k[2*S]=U,k[2*S+1]=V,M[S]=C*b+I,S+=1}}}this.positionBuffer.update(A),this.weightBuffer.update(k),this.colorBuffer.update(T),this.idBuffer.update(M),a.free(A),a.free(T),a.free(k),a.free(M)},f.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},1292:function(t,e,r){"use strict";var n=r(6832);t.exports={fragment:n(["precision lowp float;\n#define GLSLIFY 1\nvarying vec4 fragColor;\nvoid main() {\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\n}\n"]),vertex:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec4 color;\nattribute vec2 weight;\n\nuniform vec2 shape;\nuniform mat3 viewTransform;\n\nvarying vec4 fragColor;\n\nvoid main() {\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\n  fragColor = color;\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\n}\n"]),pickFragment:n(["precision mediump float;\n#define GLSLIFY 1\n\nvarying vec4 fragId;\nvarying vec2 vWeight;\n\nuniform vec2 shape;\nuniform vec4 pickOffset;\n\nvoid main() {\n  vec2 d = step(.5, vWeight);\n  vec4 id = fragId + pickOffset;\n  id.x += d.x + d.y*shape.x;\n\n  id.y += floor(id.x / 256.0);\n  id.x -= floor(id.x / 256.0) * 256.0;\n\n  id.z += floor(id.y / 256.0);\n  id.y -= floor(id.y / 256.0) * 256.0;\n\n  id.w += floor(id.z / 256.0);\n  id.z -= floor(id.z / 256.0) * 256.0;\n\n  gl_FragColor = id/255.;\n}\n"]),pickVertex:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec4 pickId;\nattribute vec2 weight;\n\nuniform vec2 shape;\nuniform mat3 viewTransform;\n\nvarying vec4 fragId;\nvarying vec2 vWeight;\n\nvoid main() {\n  vWeight = weight;\n\n  fragId = pickId;\n\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\n}\n"])}},248:function(t,e,r){var n=r(6832),i=r(5158),a=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, nextPosition;\nattribute float arcLength, lineWidth;\nattribute vec4 color;\n\nuniform vec2 screenShape;\nuniform float pixelRatio;\nuniform mat4 model, view, projection;\n\nvarying vec4 fragColor;\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\n\nvec4 project(vec3 p) {\n  return projection * view * model * vec4(p, 1.0);\n}\n\nvoid main() {\n  vec4 startPoint = project(position);\n  vec4 endPoint   = project(nextPosition);\n\n  vec2 A = startPoint.xy / startPoint.w;\n  vec2 B =   endPoint.xy /   endPoint.w;\n\n  float clipAngle = atan(\n    (B.y - A.y) * screenShape.y,\n    (B.x - A.x) * screenShape.x\n  );\n\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\n    sin(clipAngle),\n    -cos(clipAngle)\n  ) / screenShape;\n\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\n\n  worldPosition = position;\n  pixelArcLength = arcLength;\n  fragColor = color;\n}\n"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3      clipBounds[2];\nuniform sampler2D dashTexture;\nuniform float     dashScale;\nuniform float     opacity;\n\nvarying vec3    worldPosition;\nvarying float   pixelArcLength;\nvarying vec4    fragColor;\n\nvoid main() {\n  if (\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\n    fragColor.a * opacity == 0.\n  ) discard;\n\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\n  if(dashWeight < 0.5) {\n    discard;\n  }\n  gl_FragColor = fragColor * opacity;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\n#define FLOAT_MAX  1.70141184e38\n#define FLOAT_MIN  1.17549435e-38\n\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\nvec4 packFloat(float v) {\n  float av = abs(v);\n\n  //Handle special cases\n  if(av < FLOAT_MIN) {\n    return vec4(0.0, 0.0, 0.0, 0.0);\n  } else if(v > FLOAT_MAX) {\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\n  } else if(v < -FLOAT_MAX) {\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\n  }\n\n  vec4 c = vec4(0,0,0,0);\n\n  //Compute exponent and mantissa\n  float e = floor(log2(av));\n  float m = av * pow(2.0, -e) - 1.0;\n\n  //Unpack mantissa\n  c[1] = floor(128.0 * m);\n  m -= c[1] / 128.0;\n  c[2] = floor(32768.0 * m);\n  m -= c[2] / 32768.0;\n  c[3] = floor(8388608.0 * m);\n\n  //Unpack exponent\n  float ebias = e + 127.0;\n  c[0] = floor(ebias / 2.0);\n  ebias -= c[0] * 2.0;\n  c[1] += floor(ebias) * 128.0;\n\n  //Unpack sign bit\n  c[0] += 128.0 * step(0.0, -v);\n\n  //Scale back to range\n  return c / 255.0;\n}\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform float pickId;\nuniform vec3 clipBounds[2];\n\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\nvarying vec4 fragColor;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\n\n  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\n}"]),l=[{name:"position",type:"vec3"},{name:"nextPosition",type:"vec3"},{name:"arcLength",type:"float"},{name:"lineWidth",type:"float"},{name:"color",type:"vec4"}];e.createShader=function(t){return i(t,a,o,null,l)},e.createPickShader=function(t){return i(t,a,s,null,l)}},6086:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=f(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=h(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),c=u(new Array(1024),[256,1,4]),p=0;p<1024;++p)c.data[p]=255;var d=a(e,c);d.wrap=e.REPEAT;var v=new y(e,r,o,s,l,d);return v.update(t),v};var n=r(5827),i=r(2944),a=r(8931),o=new Uint8Array(4),s=new Float32Array(o.buffer),l=r(5070),u=r(5050),c=r(248),f=c.createShader,h=c.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function v(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function g(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function y(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var m=y.prototype;m.isTransparent=function(){return this.hasAlpha},m.isOpaque=function(){return!this.hasAlpha},m.pickSlots=1,m.setPickBase=function(t){this.pickId=t},m.drawTransparent=m.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,clipBounds:v(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,pickId:this.pickId,clipBounds:v(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.update=function(t){var e,r;this.dirty=!0;var n=!!t.connectGaps;"dashScale"in t&&(this.dashScale=t.dashScale),this.hasAlpha=!1,"opacity"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var i=[],a=[],o=[],s=0,c=0,f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],h=t.position||t.positions;if(h){var p=t.color||t.colors||[0,0,0,1],v=t.lineWidth||1,g=!1;t:for(e=1;e<h.length;++e){var y,m,x,b=h[e-1],_=h[e];for(a.push(s),o.push(b.slice()),r=0;r<3;++r){if(isNaN(b[r])||isNaN(_[r])||!isFinite(b[r])||!isFinite(_[r])){if(!n&&i.length>0){for(var w=0;w<24;++w)i.push(i[i.length-12]);c+=2,g=!0}continue t}f[0][r]=Math.min(f[0][r],b[r],_[r]),f[1][r]=Math.max(f[1][r],b[r],_[r])}Array.isArray(p[0])?(y=p.length>e-1?p[e-1]:p.length>0?p[p.length-1]:[0,0,0,1],m=p.length>e?p[e]:p.length>0?p[p.length-1]:[0,0,0,1]):y=m=p,3===y.length&&(y=[y[0],y[1],y[2],1]),3===m.length&&(m=[m[0],m[1],m[2],1]),!this.hasAlpha&&y[3]<1&&(this.hasAlpha=!0),x=Array.isArray(v)?v.length>e-1?v[e-1]:v.length>0?v[v.length-1]:[0,0,0,1]:v;var T=s;if(s+=d(b,_),g){for(r=0;r<2;++r)i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,y[0],y[1],y[2],y[3]);c+=2,g=!1}i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,y[0],y[1],y[2],y[3],b[0],b[1],b[2],_[0],_[1],_[2],T,-x,y[0],y[1],y[2],y[3],_[0],_[1],_[2],b[0],b[1],b[2],s,-x,m[0],m[1],m[2],m[3],_[0],_[1],_[2],b[0],b[1],b[2],s,x,m[0],m[1],m[2],m[3]),c+=4}}if(this.buffer.update(i),a.push(s),o.push(h[h.length-1].slice()),this.bounds=f,this.vertexCount=c,this.points=o,this.arcLength=a,"dashes"in t){var A=t.dashes.slice();for(A.unshift(0),e=1;e<A.length;++e)A[e]=A[e-1]+A[e];var k=u(new Array(1024),[256,1,4]);for(e=0;e<256;++e){for(r=0;r<4;++r)k.set(e,0,r,0);1&l.le(A,A[A.length-1]*e/255)?k.set(e,0,0,0):k.set(e,0,0,255)}this.texture.setPixels(k)}},m.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()},m.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=function(t,e,r){return o[0]=0,o[1]=r,o[2]=e,o[3]=t,s[0]}(t.value[0],t.value[1],t.value[2]),r=l.le(this.arcLength,e);if(r<0)return null;if(r===this.arcLength.length-1)return new g(this.arcLength[this.arcLength.length-1],this.points[this.points.length-1].slice(),r);for(var n=this.points[r],i=this.points[Math.min(r+1,this.points.length-1)],a=(e-this.arcLength[r])/(this.arcLength[r+1]-this.arcLength[r]),u=1-a,c=[0,0,0],f=0;f<3;++f)c[f]=u*n[f]+a*i[f];var h=Math.min(a<.5?r:r+1,this.points.length-1);return new g(e,c,h,this.points[h])}},7332:function(t){t.exports=function(t){var e=new Float32Array(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e}},9823:function(t){t.exports=function(){var t=new Float32Array(16);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},7787:function(t){t.exports=function(t){var e=t[0],r=t[1],n=t[2],i=t[3],a=t[4],o=t[5],s=t[6],l=t[7],u=t[8],c=t[9],f=t[10],h=t[11],p=t[12],d=t[13],v=t[14],g=t[15];return(e*o-r*a)*(f*g-h*v)-(e*s-n*a)*(c*g-h*d)+(e*l-i*a)*(c*v-f*d)+(r*s-n*o)*(u*g-h*p)-(r*l-i*o)*(u*v-f*p)+(n*l-i*s)*(u*d-c*p)}},5950:function(t){t.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=r+r,s=n+n,l=i+i,u=r*o,c=n*o,f=n*s,h=i*o,p=i*s,d=i*l,v=a*o,g=a*s,y=a*l;return t[0]=1-f-d,t[1]=c+y,t[2]=h-g,t[3]=0,t[4]=c-y,t[5]=1-u-d,t[6]=p+v,t[7]=0,t[8]=h+g,t[9]=p-v,t[10]=1-u-f,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},7280:function(t){t.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=n+n,l=i+i,u=a+a,c=n*s,f=n*l,h=n*u,p=i*l,d=i*u,v=a*u,g=o*s,y=o*l,m=o*u;return t[0]=1-(p+v),t[1]=f+m,t[2]=h-y,t[3]=0,t[4]=f-m,t[5]=1-(c+v),t[6]=d+g,t[7]=0,t[8]=h+y,t[9]=d-g,t[10]=1-(c+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},9947:function(t){t.exports=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},7437:function(t){t.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],u=e[7],c=e[8],f=e[9],h=e[10],p=e[11],d=e[12],v=e[13],g=e[14],y=e[15],m=r*s-n*o,x=r*l-i*o,b=r*u-a*o,_=n*l-i*s,w=n*u-a*s,T=i*u-a*l,A=c*v-f*d,k=c*g-h*d,M=c*y-p*d,S=f*g-h*v,E=f*y-p*v,L=h*y-p*g,C=m*L-x*E+b*S+_*M-w*k+T*A;return C?(C=1/C,t[0]=(s*L-l*E+u*S)*C,t[1]=(i*E-n*L-a*S)*C,t[2]=(v*T-g*w+y*_)*C,t[3]=(h*w-f*T-p*_)*C,t[4]=(l*M-o*L-u*k)*C,t[5]=(r*L-i*M+a*k)*C,t[6]=(g*b-d*T-y*x)*C,t[7]=(c*T-h*b+p*x)*C,t[8]=(o*E-s*M+u*A)*C,t[9]=(n*M-r*E-a*A)*C,t[10]=(d*w-v*b+y*m)*C,t[11]=(f*b-c*w-p*m)*C,t[12]=(s*k-o*S-l*A)*C,t[13]=(r*S-n*k+i*A)*C,t[14]=(v*x-d*_-g*m)*C,t[15]=(c*_-f*x+h*m)*C,t):null}},3012:function(t,e,r){var n=r(9947);t.exports=function(t,e,r,i){var a,o,s,l,u,c,f,h,p,d,v=e[0],g=e[1],y=e[2],m=i[0],x=i[1],b=i[2],_=r[0],w=r[1],T=r[2];return Math.abs(v-_)<1e-6&&Math.abs(g-w)<1e-6&&Math.abs(y-T)<1e-6?n(t):(f=v-_,h=g-w,p=y-T,a=x*(p*=d=1/Math.sqrt(f*f+h*h+p*p))-b*(h*=d),o=b*(f*=d)-m*p,s=m*h-x*f,(d=Math.sqrt(a*a+o*o+s*s))?(a*=d=1/d,o*=d,s*=d):(a=0,o=0,s=0),l=h*s-p*o,u=p*a-f*s,c=f*o-h*a,(d=Math.sqrt(l*l+u*u+c*c))?(l*=d=1/d,u*=d,c*=d):(l=0,u=0,c=0),t[0]=a,t[1]=l,t[2]=f,t[3]=0,t[4]=o,t[5]=u,t[6]=h,t[7]=0,t[8]=s,t[9]=c,t[10]=p,t[11]=0,t[12]=-(a*v+o*g+s*y),t[13]=-(l*v+u*g+c*y),t[14]=-(f*v+h*g+p*y),t[15]=1,t)}},104:function(t){t.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],f=e[8],h=e[9],p=e[10],d=e[11],v=e[12],g=e[13],y=e[14],m=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*f+w*v,t[1]=x*i+b*l+_*h+w*g,t[2]=x*a+b*u+_*p+w*y,t[3]=x*o+b*c+_*d+w*m,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*f+w*v,t[5]=x*i+b*l+_*h+w*g,t[6]=x*a+b*u+_*p+w*y,t[7]=x*o+b*c+_*d+w*m,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*f+w*v,t[9]=x*i+b*l+_*h+w*g,t[10]=x*a+b*u+_*p+w*y,t[11]=x*o+b*c+_*d+w*m,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*f+w*v,t[13]=x*i+b*l+_*h+w*g,t[14]=x*a+b*u+_*p+w*y,t[15]=x*o+b*c+_*d+w*m,t}},5268:function(t){t.exports=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),u=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*u,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*u,t[15]=1,t}},1120:function(t){t.exports=function(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}},4422:function(t){t.exports=function(t,e,r,n){var 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r=0,a=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),a+=Math.pow(e[o]-t[1][o],2);return(r=Math.sqrt(r))+(a=Math.sqrt(a))<1e-6?[1,0]:[a/(r+a),r/(a+r)]}if(3===t.length){var s=[0,0];return i(t[0],t[1],t[2],e,s),n(t,s)}return[]}(c,e),y=0;for(f=0;f<3;++f){if(g[f]<-.001||g[f]>1.0001)return null;y+=g[f]}return Math.abs(y-1)>.001?null:[h,s(t,g),g]}},2056:function(t,e,r){var n=r(6832),i=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, normal;\nattribute vec4 color;\nattribute vec2 uv;\n\nuniform mat4 model\n           , view\n           , projection\n           , inverseModel;\nuniform vec3 eyePosition\n           , lightPosition;\n\nvarying vec3 f_normal\n           , f_lightDirection\n           , f_eyeDirection\n           , f_data;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvec4 project(vec3 p) {\n  return projection * view * model * vec4(p, 1.0);\n}\n\nvoid main() {\n  gl_Position      = project(position);\n\n  //Lighting geometry parameters\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\n  cameraCoordinate.xyz /= cameraCoordinate.w;\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\n  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n  f_color          = color;\n  f_data           = position;\n  f_uv             = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n  float NdotH = max(x, 0.0001);\n  float cos2Alpha = NdotH * NdotH;\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n  float roughness2 = roughness * roughness;\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n  return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n  vec3 lightDirection,\n  vec3 viewDirection,\n  vec3 surfaceNormal,\n  float roughness,\n  float fresnel) {\n\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n  //Half angle vector\n  vec3 H = normalize(lightDirection + viewDirection);\n\n  //Geometric term\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\n  float VdotH = max(dot(viewDirection, H), 0.000001);\n  float LdotH = max(dot(lightDirection, H), 0.000001);\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\n  float G = min(1.0, min(G1, G2));\n  \n  //Distribution term\n  float D = beckmannDistribution(NdotH, roughness);\n\n  //Fresnel term\n  float F = pow(1.0 - VdotN, fresnel);\n\n  //Multiply terms and done\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness\n            , fresnel\n            , kambient\n            , kdiffuse\n            , kspecular;\nuniform sampler2D texture;\n\nvarying vec3 f_normal\n           , f_lightDirection\n           , f_eyeDirection\n           , f_data;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (f_color.a == 0.0 ||\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\n  ) discard;\n\n  vec3 N = normalize(f_normal);\n  vec3 L = normalize(f_lightDirection);\n  vec3 V = normalize(f_eyeDirection);\n\n  if(gl_FrontFacing) {\n    N = -N;\n  }\n\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\n\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n\n  gl_FragColor = litColor * f_color.a;\n}\n"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 uv;\n\nuniform mat4 model, view, projection;\n\nvarying vec4 f_color;\nvarying vec3 f_data;\nvarying vec2 f_uv;\n\nvoid main() {\n  gl_Position = projection * view * model * vec4(position, 1.0);\n  f_color = color;\n  f_data  = position;\n  f_uv    = uv;\n}"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform sampler2D texture;\nuniform float opacity;\n\nvarying vec4 f_color;\nvarying vec3 f_data;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\n\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n}"]),l=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 uv;\nattribute float pointSize;\n\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\n  } else {\n    gl_Position = projection * view * model * vec4(position, 1.0);\n  }\n  gl_PointSize = pointSize;\n  f_color = color;\n  f_uv = uv;\n}"]),u=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform sampler2D texture;\nuniform float opacity;\n\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\n  if(dot(pointR, pointR) > 0.25) {\n    discard;\n  }\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n}"]),c=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  gl_Position = projection * view * model * vec4(position, 1.0);\n  f_id        = id;\n  f_position  = position;\n}"]),f=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3  clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n  gl_FragColor = vec4(pickId, f_id.xyz);\n}"]),h=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3  position;\nattribute float pointSize;\nattribute vec4  id;\n\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\n  } else {\n    gl_Position  = projection * view * model * vec4(position, 1.0);\n    gl_PointSize = pointSize;\n  }\n  f_id         = id;\n  f_position   = position;\n}"]),p=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\n\nuniform mat4 model, view, projection;\n\nvoid main() {\n  gl_Position = projection * view * model * vec4(position, 1.0);\n}"]),d=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec3 contourColor;\n\nvoid main() {\n  gl_FragColor = vec4(contourColor, 1.0);\n}\n"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec3"},{name:"normal",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"}]},e.wireShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"}]},e.pointShader={vertex:l,fragment:u,attributes:[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"pointSize",type:"float"}]},e.pickShader={vertex:c,fragment:f,attributes:[{name:"position",type:"vec3"},{name:"id",type:"vec4"}]},e.pointPickShader={vertex:h,fragment:f,attributes:[{name:"position",type:"vec3"},{name:"pointSize",type:"float"},{name:"id",type:"vec4"}]},e.contourShader={vertex:p,fragment:d,attributes:[{name:"position",type:"vec3"}]}},8116:function(t,e,r){"use strict";var n=r(5158),i=r(5827),a=r(2944),o=r(8931),s=r(115),l=r(104),u=r(7437),c=r(5050),f=r(9156),h=r(7212),p=r(5306),d=r(2056),v=r(4340),g=d.meshShader,y=d.wireShader,m=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,T,A,k,M,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=c,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=u,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=g,this.edgeUVs=y,this.edgeIds=v,this.edgeVAO=m,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=A,this.pointIds=b,this.pointVAO=k,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var A=T.prototype;function k(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function M(t){var e=n(t,m.vertex,m.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function S(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function E(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}A.isOpaque=function(){return!this.hasAlpha},A.isTransparent=function(){return this.hasAlpha},A.pickSlots=1,A.setPickBase=function(t){this.pickId=t},A.highlight=function(t){if(t&&this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var u=r[l],c=0;c<2;++c){var f=u[0];2===u.length&&(f=u[c]);for(var d=n[f][0],v=n[f][1],g=i[f],y=1-g,m=this.positions[d],x=this.positions[v],b=0;b<3;++b)o[s++]=g*m[b]+y*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},A.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,"contourEnable"in t&&(this.contourEnable=t.contourEnable),"contourColor"in t&&(this.contourColor=t.contourColor),"lineWidth"in t&&(this.lineWidth=t.lineWidth),"lightPosition"in t&&(this.lightPosition=t.lightPosition),this.hasAlpha=!1,"opacity"in t&&(this.opacity=t.opacity,this.opacity<1&&(this.hasAlpha=!0)),"opacityscale"in t&&(this.opacityscale=t.opacityscale,this.hasAlpha=!0),"ambient"in t&&(this.ambientLight=t.ambient),"diffuse"in t&&(this.diffuseLight=t.diffuse),"specular"in t&&(this.specularLight=t.specular),"roughness"in t&&(this.roughness=t.roughness),"fresnel"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t,e){for(var r=f({colormap:t,nshades:256,format:"rgba"}),n=new Uint8Array(1024),i=0;i<256;++i){for(var a=r[i],o=0;o<3;++o)n[4*i+o]=a[o];n[4*i+3]=e?255*k(i/255,e):255*a[3]}return c(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var i=[],a=[],l=[],u=[],h=[],p=[],d=[],v=[],g=[],y=[],m=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,T=t.cellNormals,A=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,M=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=s.faceNormals(r,n,M)),T||w||(w=s.vertexNormals(r,n,A));var S=t.vertexColors,E=t.cellColors,L=t.meshColor||[1,1,1,1],C=t.vertexUVs,P=t.vertexIntensity,O=t.cellUVs,I=t.cellIntensity,D=1/0,z=-1/0;if(!C&&!O)if(P)if(t.vertexIntensityBounds)D=+t.vertexIntensityBounds[0],z=+t.vertexIntensityBounds[1];else for(var R=0;R<P.length;++R){var F=P[R];D=Math.min(D,F),z=Math.max(z,F)}else if(I)if(t.cellIntensityBounds)D=+t.cellIntensityBounds[0],z=+t.cellIntensityBounds[1];else for(R=0;R<I.length;++R)F=I[R],D=Math.min(D,F),z=Math.max(z,F);else for(R=0;R<n.length;++R)F=n[R][2],D=Math.min(D,F),z=Math.max(z,F);this.intensity=P||I||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.pickVertex=!(I||E);var B=t.pointSizes,N=t.pointSize||1;for(this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],R=0;R<n.length;++R)for(var j=n[R],U=0;U<3;++U)!isNaN(j[U])&&isFinite(j[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],j[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],j[U]));var V=0,H=0,q=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[W=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;y.push(j[0],j[1],j[2]),Z=S?S[W]:E?E[R]:L,this.opacityscale&&P?a.push(Z[0],Z[1],Z[2],this.opacity*k((P[W]-D)/(z-D),this.opacityscale)):3===Z.length?m.push(Z[0],Z[1],Z[2],this.opacity):(m.push(Z[0],Z[1],Z[2],Z[3]*this.opacity),Z[3]<1&&(this.hasAlpha=!0)),X=C?C[W]:P?[(P[W]-D)/(z-D),0]:O?O[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],x.push(X[0],X[1]),B?b.push(B[W]):b.push(N),_.push(R),q+=1;break;case 2:for(U=0;U<2;++U){j=n[W=G[U]];for(var Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t}for(U=0;U<2;++U)j=n[W=G[U]],p.push(j[0],j[1],j[2]),Z=S?S[W]:E?E[R]:L,this.opacityscale&&P?a.push(Z[0],Z[1],Z[2],this.opacity*k((P[W]-D)/(z-D),this.opacityscale)):3===Z.length?d.push(Z[0],Z[1],Z[2],this.opacity):(d.push(Z[0],Z[1],Z[2],Z[3]*this.opacity),Z[3]<1&&(this.hasAlpha=!0)),X=C?C[W]:P?[(P[W]-D)/(z-D),0]:O?O[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],v.push(X[0],X[1]),g.push(R);H+=1;break;case 3:for(U=0;U<3;++U)for(j=n[W=G[U]],Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t;for(U=0;U<3;++U){var W,Z,X,J;j=n[W=G[2-U]],i.push(j[0],j[1],j[2]),(Z=S?S[W]:E?E[R]:L)?this.opacityscale&&P?a.push(Z[0],Z[1],Z[2],this.opacity*k((P[W]-D)/(z-D),this.opacityscale)):3===Z.length?a.push(Z[0],Z[1],Z[2],this.opacity):(a.push(Z[0],Z[1],Z[2],Z[3]*this.opacity),Z[3]<1&&(this.hasAlpha=!0)):a.push(.5,.5,.5,1),X=C?C[W]:P?[(P[W]-D)/(z-D),0]:O?O[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],u.push(X[0],X[1]),J=w?w[W]:T[R],l.push(J[0],J[1],J[2]),h.push(R)}V+=1}}this.pointCount=q,this.edgeCount=H,this.triangleCount=V,this.pointPositions.update(y),this.pointColors.update(m),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(v),this.edgeIds.update(new Uint32Array(g)),this.trianglePositions.update(i),this.triangleColors.update(a),this.triangleUVs.update(u),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(h))}},A.drawTransparent=A.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,inverseModel:w.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=u(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var c=new Array(16);for(l(c,s.view,s.model),l(c,s.projection,c),u(c,c),o=0;o<3;++o)s.eyePosition[o]=c[12+o]/c[15];var f,h=c[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*c[4*o+3];for(o=0;o<3;++o){for(var p=c[12+o],d=0;d<3;++d)p+=c[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/h}this.triangleCount>0&&((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&this.lineWidth>0&&((f=this.lineShader).bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()),this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((f=this.contourShader).bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},A.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};(s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},A.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;a<r.length;++a)i[a]=n[r[a]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],u=this.positions[r[1]],c=this.positions[r[2]],f=[(l[0]+u[0]+c[0])/3,(l[1]+u[1]+c[1])/3,(l[2]+u[2]+c[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:f}}var h=v(i,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!h)return null;var p=h[2],d=0;for(a=0;a<r.length;++a)d+=p[a]*this.intensity[r[a]];return{position:h[1],index:r[h[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[h[0]]]}},A.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},t.exports=function(t,e){if(1===arguments.length&&(t=(e=t).gl),!(t.getExtension("OES_standard_derivatives")||t.getExtension("MOZ_OES_standard_derivatives")||t.getExtension("WEBKIT_OES_standard_derivatives")))throw new Error("derivatives not supported");var r=function(t){var e=n(t,g.vertex,g.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}(t),s=function(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}(t),l=M(t),u=S(t),f=E(t),h=L(t),p=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=i(t),v=i(t),m=i(t),x=i(t),b=i(t),_=a(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:b,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:v,type:t.FLOAT,size:4},{buffer:m,type:t.FLOAT,size:2},{buffer:x,type:t.FLOAT,size:3}]),w=i(t),A=i(t),k=i(t),C=i(t),P=a(t,[{buffer:w,type:t.FLOAT,size:3},{buffer:C,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:A,type:t.FLOAT,size:4},{buffer:k,type:t.FLOAT,size:2}]),O=i(t),I=i(t),D=i(t),z=i(t),R=i(t),F=a(t,[{buffer:O,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:I,type:t.FLOAT,size:4},{buffer:D,type:t.FLOAT,size:2},{buffer:z,type:t.FLOAT,size:1}]),B=i(t),N=new T(t,p,r,s,l,u,f,h,d,b,v,m,x,_,w,C,A,k,P,O,R,I,D,z,F,B,a(t,[{buffer:B,type:t.FLOAT,size:3}]));return N.update(e),N}},4554:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl;return new o(t,n(e,[0,0,0,1,1,0,1,1]),i(e,a.boxVert,a.lineFrag))};var n=r(5827),i=r(5158),a=r(2709);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,u=o.prototype;u.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},u.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,i){var a=this.plot,o=this.shader,u=a.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=i,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),u.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},3016:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl;return new s(t,n(e),i(e,o.gridVert,o.gridFrag),i(e,o.tickVert,o.gridFrag))};var n=r(5827),i=r(5158),a=r(5070),o=r(2709);function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var u,c,f,h,p,d=s.prototype;d.draw=(u=[0,0],c=[0,0],f=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,i=t.gl,a=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,h=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,v=0;v<2;++v){var g=a[v],y=a[v+2]-g,m=.5*(o[v+2]+o[v]),x=o[v+2]-o[v];c[v]=2*y/x,u[v]=2*(g-m)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=u,r.uniforms.dataScale=c;var b=0;for(v=0;v<2;++v){f[0]=f[1]=0,f[v]=1,r.uniforms.dataAxis=f,r.uniforms.lineWidth=l[v]/(s[v+2]-s[v])*d,r.uniforms.color=h[v];var _=6*n[v].length;p[v]&&_&&i.drawArrays(i.TRIANGLES,b,_),b+=_}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],i=[0,0],o=[0,0];return function(){for(var s=this.plot,u=this.vbo,c=this.tickShader,f=this.ticks,h=s.gl,p=s._tickBounds,d=s.dataBox,v=s.viewBox,g=s.pixelRatio,y=s.screenBox,m=y[2]-y[0],x=y[3]-y[1],b=v[2]-v[0],_=v[3]-v[1],w=0;w<2;++w){var T=p[w],A=p[w+2]-T,k=.5*(d[w+2]+d[w]),M=d[w+2]-d[w];e[w]=2*A/M,t[w]=2*(T-k)/M}e[0]*=b/m,t[0]*=b/m,e[1]*=_/x,t[1]*=_/x,c.bind(),u.bind(),c.attributes.dataCoord.pointer();var S=c.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,L=s.tickMarkWidth,C=s.tickMarkColor,P=6*f[0].length,O=Math.min(a.ge(f[0],(d[0]-p[0])/(p[2]-p[0]),l),f[0].length),I=Math.min(a.gt(f[0],(d[2]-p[0])/(p[2]-p[0]),l),f[0].length),D=0+6*O,z=6*Math.max(0,I-O),R=Math.min(a.ge(f[1],(d[1]-p[1])/(p[3]-p[1]),l),f[1].length),F=Math.min(a.gt(f[1],(d[3]-p[1])/(p[3]-p[1]),l),f[1].length),B=P+6*R,N=6*Math.max(0,F-R);i[0]=2*(v[0]-E[1])/m-1,i[1]=(v[3]+v[1])/x-1,o[0]=E[1]*g/m,o[1]=L[1]*g/x,N&&(S.color=C[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(v[2]+v[0])/m-1,i[1]=2*(v[1]-E[0])/x-1,o[0]=L[0]*g/m,o[1]=E[0]*g/x,z&&(S.color=C[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,D,z)),i[0]=2*(v[2]+E[3])/m-1,i[1]=(v[3]+v[1])/x-1,o[0]=E[3]*g/m,o[1]=L[3]*g/x,N&&(S.color=C[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(v[2]+v[0])/m-1,i[1]=2*(v[3]+E[2])/x-1,o[0]=L[2]*g/m,o[1]=E[2]*g/x,z&&(S.color=C[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,D,z))}}(),d.update=(h=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),i=(this.plot.zeroLineEnable,0),a=[[],[]],o=0;o<2;++o)for(var s=a[o],l=e[o],u=r[o],c=r[o+2],f=0;f<l.length;++f){var d=(l[f].x-u)/(c-u);s.push(d);for(var v=0;v<6;++v)n[i++]=d,n[i++]=h[v],n[i++]=p[v]}this.ticks=a,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},1154:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl;return new o(t,n(e,[-1,-1,-1,1,1,-1,1,1]),i(e,a.lineVert,a.lineFrag))};var n=r(5827),i=r(5158),a=r(2709);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,u=o.prototype;u.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},u.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,i,a){var o=this.plot,u=this.shader,c=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,u.uniforms.start=s,u.uniforms.end=l,u.uniforms.width=i*o.pixelRatio,u.uniforms.color=a,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),u.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},2709:function(t,e,r){"use strict";var n=r(6832),i=n(["precision lowp float;\n#define GLSLIFY 1\nuniform vec4 color;\nvoid main() {\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\n}\n"]);t.exports={lineVert:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 coord;\n\nuniform vec4 screenBox;\nuniform vec2 start, end;\nuniform float width;\n\nvec2 perp(vec2 v) {\n  return vec2(v.y, -v.x);\n}\n\nvec2 screen(vec2 v) {\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\n}\n\nvoid main() {\n  vec2 delta = normalize(perp(start - end));\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\n}\n"]),lineFrag:i,textVert:n(["#define GLSLIFY 1\nattribute vec3 textCoordinate;\n\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\nuniform float angle;\n\nvoid main() {\n  float dataOffset  = textCoordinate.z;\n  vec2 glyphOffset  = textCoordinate.xy;\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\n    glyphMatrix * glyphOffset * textScale + screenOffset;\n  gl_Position = vec4(screenCoordinate, 0, 1);\n}\n"]),textFrag:i,gridVert:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 dataCoord;\n\nuniform vec2 dataAxis, dataShift, dataScale;\nuniform float lineWidth;\n\nvoid main() {\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\n  gl_Position = vec4(pos, 0, 1);\n}\n"]),gridFrag:i,boxVert:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 coord;\n\nuniform vec4 screenBox;\nuniform vec2 lo, hi;\n\nvec2 screen(vec2 v) {\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\n}\n\nvoid main() {\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\n}\n"]),tickVert:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 dataCoord;\n\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\n\nvoid main() {\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\n}\n"])}},5613:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl;return new l(t,n(e),i(e,s.textVert,s.textFrag))};var n=r(5827),i=r(5158),a=r(6946),o=r(5070),s=r(2709);function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var u,c,f,h,p,d,v=l.prototype;v.drawTicks=(u=[0,0],c=[0,0],f=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],i=this.tickOffset[t],a=e.gl,s=e.viewBox,l=e.dataBox,h=e.screenBox,p=e.pixelRatio,d=e.tickEnable,v=e.tickPad,g=e.tickColor,y=e.tickAngle,m=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],T=this.labelCount[t],A=o.lt(n,l[t]),k=o.le(n,l[t+2]);u[0]=u[1]=0,u[t]=1,c[t]=(s[2+t]+s[t])/(h[2+t]-h[t])-1;var M=2/h[2+(1^t)]-h[1^t];c[1^t]=M*s[1^t]-1,d[t]&&(c[1^t]-=M*p*v[t],A<k&&i[k]>i[A]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t],r.uniforms.angle=y[t],a.drawArrays(a.TRIANGLES,i[A],i[k]-i[A]))),m[t]&&T&&(c[1^t]-=M*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),c[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(c[1^t]+=M*p*v[t+2],A<k&&i[k]>i[A]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t+2],r.uniforms.angle=y[t+2],a.drawArrays(a.TRIANGLES,i[A],i[k]-i[A]))),m[t+2]&&T&&(c[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),v.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,u=r.pixelRatio;if(this.titleCount){for(var c=0;c<2;++c)e[c]=2*(o[c]*u-a[c])/(a[2+c]-a[c])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),v.bind=(h=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,u=.5*(n[o+2]+n[o]),c=n[o+2]-n[o],f=a[o],v=a[o+2]-f,g=i[o],y=i[o+2]-g;p[o]=2*l/c*v/y,h[o]=2*(s-u)/c*v/y}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=h,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),v.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,u=t.bounds;for(o=0;o<2;++o){var c=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e<h.length;++e){var p=h[e],d=p.x,v=p.text,g=p.font||"sans-serif";i=p.fontSize||12;for(var y=1/(u[o+2]-u[o]),m=u[o],x=v.split("\n"),b=0;b<x.length;b++)for(n=a(g,x[b]).data,r=0;r<n.length;r+=2)s.push(n[r]*i,-n[r+1]*i-b*i*1.2,(d-m)*y);c.push(Math.floor(s.length/3)),f.push(d)}this.tickOffset[o]=c,this.tickX[o]=f}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=a(t.labelFont[o],t.labels[o],{textAlign:"center"}).data,i=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=a(t.titleFont,t.title).data,i=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},v.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},2117:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl,r=new l(e,n(e,[e.drawingBufferWidth,e.drawingBufferHeight]));return r.grid=i(r),r.text=a(r),r.line=o(r),r.box=s(r),r.update(t),r};var n=r(2611),i=r(3016),a=r(5613),o=r(1154),s=r(4554);function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var u=l.prototype;function c(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function f(t,e){return t.x-e.x}u.setDirty=function(){this.dirty=this.pickDirty=!0},u.setOverlayDirty=function(){this.dirty=!0},u.nextDepthValue=function(){return this._depthCounter++/65536},u.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,i=this.pixelRatio,a=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var u=this.borderColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var c=this.backgroundColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var f=this.zeroLineEnable,h=this.zeroLineColor,p=this.zeroLineWidth;if(f[0]||f[1]){o.bind();for(var d=0;d<2;++d)if(f[d]&&n[d]<=0&&n[d+2]>=0){var v=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(v,e[1],v,e[3],p[d],h[d]):o.drawLine(e[0],v,e[2],v,p[d],h[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var g=this.borderLineEnable,y=this.borderLineWidth,m=this.borderLineColor;for(g[1]&&o.drawLine(r[0],r[1]-.5*y[1]*i,r[0],r[3]+.5*y[3]*i,y[1],m[1]),g[0]&&o.drawLine(r[0]-.5*y[0]*i,r[1],r[2]+.5*y[2]*i,r[1],y[0],m[0]),g[3]&&o.drawLine(r[2],r[1]-.5*y[1]*i,r[2],r[3]+.5*y[3]*i,y[3],m[3]),g[2]&&o.drawLine(r[0]-.5*y[0]*i,r[3],r[2]+.5*y[2]*i,r[3],y[2],m[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},u.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl,this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},u.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,i=this.viewBox,a=0|Math.round((t-i[0]/r)*n),o=0|Math.round((e-i[1]/r)*n),s=this.pickBuffer.query(a,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),u=this.objects,c=0;c<u.length;++c){var f=u[c].pick(a,o,l);if(f)return f}return null}},u.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},u.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},u.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},u.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]),this.screenBox,this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,i=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/i,10,10/i]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=c(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=c(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=c(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!("titleEnable"in t)||!!t.titleEnable,this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=c(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=c(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=c(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var a=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=a[s].slice(0);0!==l.length&&(l.sort(f),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:a}),this.text.update({bounds:o,ticks:a,labels:t.labels||["x","y"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||["sans-serif","sans-serif"],title:t.title||"",titleSize:t.titleSize||18,titleFont:t.titleFont||"sans-serif"}),this.static=!!t.static,this.setDirty()},u.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();for(this.objects.length=0,t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},u.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},u.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},u.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},u.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},4296:function(t,e,r){"use strict";t.exports=function(t,e){t=t||document.body;var r=[.01,1/0];"distanceLimits"in(e=e||{})&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]),"zoomMin"in e&&(r[0]=e.zoomMin),"zoomMax"in e&&(r[1]=e.zoomMax);var u=i({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||"orbit",distanceLimits:r}),c=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],f=0,h=t.clientWidth,p=t.clientHeight,d={keyBindingMode:"rotate",enableWheel:!0,view:u,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:u.modes,_ortho:e._ortho||e.projection&&"orthographic"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,i=e-2*r;u.idle(e-r),u.recalcMatrix(i),u.flush(e-(100+2*r));for(var a=!0,o=u.computedMatrix,s=0;s<16;++s)a=a&&c[s]===o[s],c[s]=o[s];var l=t.clientWidth===h&&t.clientHeight===p;return h=t.clientWidth,p=t.clientHeight,a?!l:(f=Math.exp(u.computedRadius[0]),!0)},lookAt:function(t,e,r){u.lookAt(u.lastT(),t,e,r)},rotate:function(t,e,r){u.rotate(u.lastT(),t,e,r)},pan:function(t,e,r){u.pan(u.lastT(),t,e,r)},translate:function(t,e,r){u.translate(u.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return u.computedMatrix},set:function(t){return u.setMatrix(u.lastT(),t),u.computedMatrix},enumerable:!0},mode:{get:function(){return u.getMode()},set:function(t){var e=u.computedUp.slice(),r=u.computedEye.slice(),i=u.computedCenter.slice();if(u.setMode(t),"turntable"===t){var a=n();u._active.lookAt(a,r,i,e),u._active.lookAt(a+500,r,i,[0,0,1]),u._active.flush(a)}return u.getMode()},enumerable:!0},center:{get:function(){return u.computedCenter},set:function(t){return u.lookAt(u.lastT(),null,t),u.computedCenter},enumerable:!0},eye:{get:function(){return u.computedEye},set:function(t){return u.lookAt(u.lastT(),t),u.computedEye},enumerable:!0},up:{get:function(){return u.computedUp},set:function(t){return u.lookAt(u.lastT(),null,null,t),u.computedUp},enumerable:!0},distance:{get:function(){return f},set:function(t){return u.setDistance(u.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return u.getDistanceLimits(r)},set:function(t){return u.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener("contextmenu",function(t){return t.preventDefault(),!1}),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,i,a){var o=d.keyBindingMode;if(!1!==o){var s="rotate"===o,l="pan"===o,c="zoom"===o,h=!!a.control,p=!!a.alt,v=!!a.shift,g=!!(1&e),y=!!(2&e),m=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(i-d._lastY),w=d.flipX?1:-1,T=d.flipY?1:-1,A=Math.PI*d.rotateSpeed,k=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&g&&!h&&!p&&!v||g&&!h&&!p&&v)&&u.rotate(k,w*A*b,-T*A*_,0),(l&&g&&!h&&!p&&!v||y||g&&h&&!p&&!v)&&u.pan(k,-d.translateSpeed*b*f,d.translateSpeed*_*f,0),c&&g&&!h&&!p&&!v||m||g&&!h&&p&&!v)){var M=-d.zoomSpeed*_/window.innerHeight*(k-u.lastT())*100;u.pan(k,0,0,f*(Math.exp(M)-1))}return d._lastX=r,d._lastY=i,d._lastMods=a,!0}}d.mouseListener=a(t,e),t.addEventListener("touchstart",function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods)},!!l&&{passive:!0}),t.addEventListener("touchmove",function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()},!!l&&{passive:!1}),t.addEventListener("touchend",function(t){e(0,d._lastX,d._lastY,d._lastMods)},!!l&&{passive:!0}),d.wheelListener=o(t,function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,i=d.flipY?1:-1,a=n();if(Math.abs(t)>Math.abs(e))u.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-u.lastT())/20;u.pan(a,0,0,f*(Math.exp(o)-1))}}},!0)},d.enableMouseListeners(),d};var n=r(8161),i=r(1152),a=r(6145),o=r(6475),s=r(2565),l=r(5233)},8245:function(t,e,r){var n=r(6832),i=r(5158),a=n(["precision mediump float;\n#define GLSLIFY 1\nattribute vec2 position;\nvarying vec2 uv;\nvoid main() {\n  uv = position;\n  gl_Position = vec4(position, 0, 1);\n}"]),o=n(["precision mediump float;\n#define GLSLIFY 1\n\nuniform sampler2D accumBuffer;\nvarying vec2 uv;\n\nvoid main() {\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\n  gl_FragColor = min(vec4(1,1,1,1), accum);\n}"]);t.exports=function(t){return i(t,a,o,null,[{name:"position",type:"vec2"}])}},1059:function(t,e,r){"use strict";var n=r(4296),i=r(7453),a=r(2771),o=r(6496),s=r(2611),l=r(4234),u=r(8126),c=r(6145),f=r(1120),h=r(5268),p=r(8245),d=r(2321)({tablet:!0,featureDetect:!0});function v(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function g(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}return e>0?(r=Math.round(Math.pow(10,e)),Math.ceil(t/r)*r):Math.ceil(t)}function y(t){return"boolean"!=typeof t||t}t.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;e||(e=document.createElement("canvas"),t.container?t.container.appendChild(e):document.body.appendChild(e));var r=t.gl;if(r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext("webgl",e))||(r=t.getContext("experimental-webgl",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d})),!r)throw new Error("webgl not supported");var m=t.bounds||[[-10,-10,-10],[10,10,10]],x=new v,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&"orthographic"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||"turntable",_ortho:w},A=t.axes||{},k=i(r,A);k.enable=!A.disable;var M=t.spikes||{},S=o(r,M),E=[],L=[],C=[],P=[],O=!0,I=!0,D={view:null,projection:new Array(16),model:new Array(16),_ortho:!1},z=(I=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),R=t.cameraObject||n(e,T),F={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:R,axes:k,axesPixels:null,spikes:S,bounds:m,objects:E,shape:z,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:y(t.autoResize),autoBounds:y(t.autoBounds),autoScale:!!t.autoScale,autoCenter:y(t.autoCenter),clipToBounds:y(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:D,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,I=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},B=[r.drawingBufferWidth/F.pixelRatio|0,r.drawingBufferHeight/F.pixelRatio|0];function N(){if(!F._stopped&&F.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*F.pixelRatio),a=0|Math.ceil(n*F.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||"absolute",o.left="0px",o.top="0px",o.width=r+"px",o.height=n+"px",O=!0}}}function j(){for(var t=E.length,e=P.length,n=0;n<e;++n)C[n]=0;t:for(n=0;n<t;++n){var i=E[n],a=i.pickSlots;if(a){for(var o=0;o<e;++o)if(C[o]+a<255){L[n]=o,i.setPickBase(C[o]+1),C[o]+=a;continue t}var l=s(r,z);L[n]=e,P.push(l),C.push(a),i.setPickBase(1),e+=1}else L[n]=-1}for(;e>0&&0===C[e-1];)C.pop(),P.pop().dispose()}function U(){if(F.contextLost)return!0;r.isContextLost()&&(F.contextLost=!0,F.mouseListener.enabled=!1,F.selection.object=null,F.oncontextloss&&F.oncontextloss())}F.autoResize&&N(),window.addEventListener("resize",N),F.update=function(t){F._stopped||(t=t||{},O=!0,I=!0)},F.add=function(t){F._stopped||(t.axes=k,E.push(t),L.push(-1),O=!0,I=!0,j())},F.remove=function(t){if(!F._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),O=!0,I=!0,j())}},F.dispose=function(){if(!F._stopped&&(F._stopped=!0,window.removeEventListener("resize",N),e.removeEventListener("webglcontextlost",U),F.mouseListener.enabled=!1,!F.contextLost)){k.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();for(b.dispose(),t=0;t<P.length;++t)P[t].dispose();_.dispose(),r=null,k=null,S=null,E=[]}},F._mouseRotating=!1,F._prevButtons=0,F.enableMouseListeners=function(){F.mouseListener=c(e,function(t,e,r){if(!F._stopped){var n=P.length,i=E.length,a=x.object;x.distance=1/0,x.mouse[0]=e,x.mouse[1]=r,x.object=null,x.screen=null,x.dataCoordinate=x.dataPosition=null;var o=!1;if(t&&F._prevButtons)F._mouseRotating=!0;else{F._mouseRotating&&(I=!0),F._mouseRotating=!1;for(var s=0;s<n;++s){var l=P[s].query(e,B[1]-r-1,F.pickRadius);if(l){if(l.distance>x.distance)continue;for(var u=0;u<i;++u){var c=E[u];if(L[u]===s){var f=c.pick(l);f&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=c,x.index=f.distance,x.dataPosition=f.position,x.dataCoordinate=f.dataCoordinate,x.data=f,o=!0)}}}}}a&&a!==x.object&&(a.highlight&&a.highlight(null),O=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),O=!0),(o=o||x.object!==a)&&F.onselect&&F.onselect(x),1&t&&!(1&F._prevButtons)&&F.onclick&&F.onclick(x),F._prevButtons=t}})},e.addEventListener("webglcontextlost",U);var V=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],H=[V[0].slice(),V[1].slice()];function q(){if(!U()){N();var t=F.camera.tick();D.view=F.camera.matrix,O=O||t,I=I||t,k.pixelRatio=F.pixelRatio,S.pixelRatio=F.pixelRatio;var e=E.length,n=V[0],i=V[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<e;++o){(C=E[o]).pixelRatio=F.pixelRatio,C.axes=F.axes,O=O||!!C.dirty,I=I||!!C.dirty;var s=C.bounds;if(s)for(var l=s[0],c=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),i[p]=Math.max(i[p],c[p])}var d=F.bounds;if(F.autoBounds)for(p=0;p<3;++p){if(i[p]<n[p])n[p]=-1,i[p]=1;else{n[p]===i[p]&&(n[p]-=1,i[p]+=1);var v=.05*(i[p]-n[p]);n[p]=n[p]-v,i[p]=i[p]+v}d[0][p]=n[p],d[1][p]=i[p]}var y=!1;for(p=0;p<3;++p)y=y||H[0][p]!==d[0][p]||H[1][p]!==d[1][p],H[0][p]=d[0][p],H[1][p]=d[1][p];if(I=I||y,O=O||y){if(y){var m=[0,0,0];for(o=0;o<3;++o)m[o]=g((d[1][o]-d[0][o])/10);k.autoTicks?k.update({bounds:d,tickSpacing:m}):k.update({bounds:d})}var T=r.drawingBufferWidth,A=r.drawingBufferHeight;for(z[0]=T,z[1]=A,B[0]=0|Math.max(T/F.pixelRatio,1),B[1]=0|Math.max(A/F.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,i=n.projection,a=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,u=t.zFar,c=t.fovy,p=o/s;e?(h(i,-p,p,-1,1,l,u),n._ortho=!0):(f(i,c,p,l,u),n._ortho=!1);for(var d=0;d<16;++d)a[d]=0;a[15]=1;var v=0;for(d=0;d<3;++d)v=Math.max(v,r[1][d]-r[0][d]);for(d=0;d<3;++d)t.autoScale?a[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):a[5*d]=1/v,t.autoCenter&&(a[12+d]=.5*-a[5*d]*(r[0][d]+r[1][d]))}(F,w),o=0;o<e;++o)(C=E[o]).axesBounds=d,F.clipToBounds&&(C.clipBounds=d);x.object&&(F.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),I&&(I=!1,function(){if(!U()){r.colorMask(!0,!0,!0,!0),r.depthMask(!0),r.disable(r.BLEND),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL);for(var t=E.length,e=P.length,n=0;n<e;++n){var i=P[n];i.shape=B,i.begin();for(var a=0;a<t;++a)if(L[a]===n){var o=E[a];o.drawPick&&(o.pixelRatio=1,o.drawPick(D))}i.end()}}}()),F.axesPixels=a(F.axes,D,T,A),F.onrender&&F.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,A),F.clearRGBA(),r.depthMask(!0),r.colorMask(!0,!0,!0,!0),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL),r.disable(r.BLEND),r.disable(r.CULL_FACE);var M=!1;for(k.enable&&(M=M||k.isTransparent(),k.draw(D)),S.axes=k,x.object&&S.draw(D),r.disable(r.CULL_FACE),o=0;o<e;++o)(C=E[o]).axes=k,C.pixelRatio=F.pixelRatio,C.isOpaque&&C.isOpaque()&&C.draw(D),C.isTransparent&&C.isTransparent()&&(M=!0);if(M){for(b.shape=z,b.bind(),r.clear(r.DEPTH_BUFFER_BIT),r.colorMask(!1,!1,!1,!1),r.depthMask(!0),r.depthFunc(r.LESS),k.enable&&k.isTransparent()&&k.drawTransparent(D),o=0;o<e;++o)(C=E[o]).isOpaque&&C.isOpaque()&&C.draw(D);for(r.enable(r.BLEND),r.blendEquation(r.FUNC_ADD),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.colorMask(!0,!0,!0,!0),r.depthMask(!1),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),k.isTransparent()&&k.drawTransparent(D),o=0;o<e;++o){var C;(C=E[o]).isTransparent&&C.isTransparent()&&C.drawTransparent(D)}r.bindFramebuffer(r.FRAMEBUFFER,null),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.disable(r.DEPTH_TEST),_.bind(),b.color[0].bind(0),_.uniforms.accumBuffer=0,u(r),r.disable(r.BLEND)}for(O=!1,o=0;o<e;++o)E[o].dirty=!1}}}return F.enableMouseListeners(),function t(){F._stopped||F.contextLost||(q(),requestAnimationFrame(t))}(),F.redraw=function(){F._stopped||(O=!0,q())},F},createCamera:n}},8023:function(t,e,r){var n=r(6832);e.pointVertex=n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\n\nuniform mat3 matrix;\nuniform float pointSize;\nuniform float pointCloud;\n\nhighp float rand(vec2 co) {\n  highp float a = 12.9898;\n  highp float b = 78.233;\n  highp float c = 43758.5453;\n  highp float d = dot(co.xy, vec2(a, b));\n  highp float e = mod(d, 3.14);\n  return fract(sin(e) * c);\n}\n\nvoid main() {\n  vec3 hgPosition = matrix * vec3(position, 1);\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\n    // if we don't jitter the point size a bit, overall point cloud\n    // saturation 'jumps' on zooming, which is disturbing and confusing\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\n  if(pointCloud != 0.0) { // pointCloud is truthy\n    // get the same square surface as circle would be\n    gl_PointSize *= 0.886;\n  }\n}"]),e.pointFragment=n(["precision mediump float;\n#define GLSLIFY 1\n\nuniform vec4 color, borderColor;\nuniform float centerFraction;\nuniform float pointCloud;\n\nvoid main() {\n  float radius;\n  vec4 baseColor;\n  if(pointCloud != 0.0) { // pointCloud is truthy\n    if(centerFraction == 1.0) {\n      gl_FragColor = color;\n    } else {\n      gl_FragColor = mix(borderColor, color, centerFraction);\n    }\n  } else {\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\n    if(radius > 1.0) {\n      discard;\n    }\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\n  }\n}\n"]),e.pickVertex=n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec4 pickId;\n\nuniform mat3 matrix;\nuniform float pointSize;\nuniform vec4 pickOffset;\n\nvarying vec4 fragId;\n\nvoid main() {\n  vec3 hgPosition = matrix * vec3(position, 1);\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\n  gl_PointSize = pointSize;\n\n  vec4 id = pickId + pickOffset;\n  id.y += floor(id.x / 256.0);\n  id.x -= floor(id.x / 256.0) * 256.0;\n\n  id.z += floor(id.y / 256.0);\n  id.y -= floor(id.y / 256.0) * 256.0;\n\n  id.w += floor(id.z / 256.0);\n  id.z -= floor(id.z / 256.0) * 256.0;\n\n  fragId = id;\n}\n"]),e.pickFragment=n(["precision mediump float;\n#define GLSLIFY 1\n\nvarying vec4 fragId;\n\nvoid main() {\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\n  if(radius > 1.0) {\n    discard;\n  }\n  gl_FragColor = fragId / 255.0;\n}\n"])},8271:function(t,e,r){"use strict";var n=r(5158),i=r(5827),a=r(5306),o=r(8023);function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}t.exports=function(t,e){var r=t.gl,a=new s(t,i(r),i(r),n(r,o.pointVertex,o.pointFragment),n(r,o.pickVertex,o.pickFragment));return a.update(e),t.addObject(a),a};var l,u,c=s.prototype;c.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},c.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r("sizeMin",.5),this.sizeMax=r("sizeMax",20),this.color=r("color",[1,0,0,1]).slice(),this.areaRatio=r("areaRatio",1),this.borderColor=r("borderColor",[0,0,0,1]).slice(),this.blend=r("blend",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),u=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e<n;e++)u[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(u),i||a.free(l),o||a.free(u),this.pointCount=n,this.pickOffset=0},c.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],u=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,i=this.plot.dataBox;if(0===this.pointCount)return t;var a=i[2]-i[0],o=i[3]-i[1],s=function(t,e){var r,n=0,i=t.length>>>1;for(r=0;r<i;r++){var a=t[2*r],o=t[2*r+1];a>=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),c=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=c<5,r.uniforms.pointSize=c,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(u[0]=255&t,u[1]=t>>8&255,u[2]=t>>16&255,u[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=u,this.pickOffset=t);var f=n.getParameter(n.BLEND),h=n.getParameter(n.DITHER);return f&&!this.blend&&n.disable(n.BLEND),h&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),f&&!this.blend&&n.enable(n.BLEND),h&&n.enable(n.DITHER),t+this.pointCount}),c.draw=c.unifiedDraw,c.drawPick=c.unifiedDraw,c.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},6093:function(t){t.exports=function(t,e,r,n){var i,a,o,s,l,u=e[0],c=e[1],f=e[2],h=e[3],p=r[0],d=r[1],v=r[2],g=r[3];return(a=u*p+c*d+f*v+h*g)<0&&(a=-a,p=-p,d=-d,v=-v,g=-g),1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n),t[0]=s*u+l*p,t[1]=s*c+l*d,t[2]=s*f+l*v,t[3]=s*h+l*g,t}},8240:function(t){"use strict";t.exports=function(t){return t||0===t?t.toString():""}},4123:function(t,e,r){"use strict";var n=r(875);t.exports=function(t,e,r){var a=i[e];if(a||(a=i[e]={}),t in a)return a[t];var o={textAlign:"center",textBaseline:"middle",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,u,c=n(t,o);if(r&&1!==r){for(l=0;l<s.positions.length;++l)for(u=0;u<s.positions[l].length;++u)s.positions[l][u]/=r;for(l=0;l<c.positions.length;++l)for(u=0;u<c.positions[l].length;++u)c.positions[l][u]/=r}var f=[[1/0,1/0],[-1/0,-1/0]],h=c.positions.length;for(l=0;l<h;++l){var p=c.positions[l];for(u=0;u<2;++u)f[0][u]=Math.min(f[0][u],p[u]),f[1][u]=Math.max(f[1][u],p[u])}return a[t]=[s,c,f]};var i={}},9282:function(t,e,r){var n=r(5158),i=r(6832),a=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform vec4 highlightId;\nuniform float highlightScale;\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0,0,0,0);\n  } else {\n    float scale = 1.0;\n    if(distance(highlightId, id) < 0.0001) {\n      scale = highlightScale;\n    }\n\n    vec4 worldPosition = model * vec4(position, 1);\n    vec4 viewPosition = view * worldPosition;\n    viewPosition = viewPosition / viewPosition.w;\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\n\n    gl_Position = clipPosition;\n    interpColor = color;\n    pickId = id;\n    dataCoordinate = position;\n  }\n}"]),o=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform vec2 screenSize;\nuniform vec3 clipBounds[2];\nuniform float highlightScale, pixelRatio;\nuniform vec4 highlightId;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0,0,0,0);\n  } else {\n    float scale = pixelRatio;\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\n      scale *= highlightScale;\n    }\n\n    vec4 worldPosition = model * vec4(position, 1.0);\n    vec4 viewPosition = view * worldPosition;\n    vec4 clipPosition = projection * viewPosition;\n    clipPosition /= clipPosition.w;\n\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\n    interpColor = color;\n    pickId = id;\n    dataCoordinate = position;\n  }\n}"]),s=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform float highlightScale;\nuniform vec4 highlightId;\nuniform vec3 axes[2];\nuniform mat4 model, view, projection;\nuniform vec2 screenSize;\nuniform vec3 clipBounds[2];\nuniform float scale, pixelRatio;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0,0,0,0);\n  } else {\n    float lscale = pixelRatio * scale;\n    if(distance(highlightId, id) < 0.0001) {\n      lscale *= highlightScale;\n    }\n\n    vec4 clipCenter   = projection * view * model * vec4(position, 1);\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\n    vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\n\n    gl_Position = clipPosition;\n    interpColor = color;\n    pickId = id;\n    dataCoordinate = dataPosition;\n  }\n}\n"]),l=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 fragClipBounds[2];\nuniform float opacity;\n\nvarying vec4 interpColor;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\n    interpColor.a * opacity == 0.\n  ) discard;\n  gl_FragColor = interpColor * opacity;\n}\n"]),u=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 fragClipBounds[2];\nuniform float pickGroup;\n\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\n\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\n}"]),c=[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"glyph",type:"vec2"},{name:"id",type:"vec4"}],f={vertex:a,fragment:l,attributes:c},h={vertex:o,fragment:l,attributes:c},p={vertex:s,fragment:l,attributes:c},d={vertex:a,fragment:u,attributes:c},v={vertex:o,fragment:u,attributes:c},g={vertex:s,fragment:u,attributes:c};function y(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}e.createPerspective=function(t){return y(t,f)},e.createOrtho=function(t){return y(t,h)},e.createProject=function(t){return y(t,p)},e.createPickPerspective=function(t){return y(t,d)},e.createPickOrtho=function(t){return y(t,v)},e.createPickProject=function(t){return y(t,g)}},2182:function(t,e,r){"use strict";var n=r(3596),i=r(5827),a=r(2944),o=r(5306),s=r(104),l=r(9282),u=r(4123),c=r(8240),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function p(t,e,r,n){return h(n,n),h(n,n),h(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function v(t){return!0===t||t>1?1:t}function g(t,e,r,n,i,a,o,s,l,u,c,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=u,this.pickOrthoShader=c,this.pickProjectShader=f,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}t.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),u=l.createPickOrtho(e),c=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),v=new g(e,r,n,o,f,h,p,d,a(e,[{buffer:f,size:3,type:e.FLOAT},{buffer:h,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),s,u,c);return v.update(t),v};var y=g.prototype;y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},y.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var m=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=f.slice(),A=[0,0,0],k=[[0,0,0],[0,0,0]];function M(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}var L=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function C(t,e,r,n,i,a,o){var l=r.gl;if((a===r.projectHasAlpha||o)&&function(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,u=r.model||f,c=r.view||f,h=r.projection||f,d=e.axesBounds,v=function(t){for(var e=k,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],m[0]=2/o.drawingBufferWidth,m[1]=2/o.drawingBufferHeight,t.bind(),l.view=c,l.projection=h,l.screenSize=m,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=v,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var g=0;g<3;++g)if(a[g]){l.scale=e.projectScale[g],l.opacity=e.projectOpacity[g];for(var y=T,L=0;L<16;++L)y[L]=0;for(L=0;L<4;++L)y[5*L]=1;y[5*g]=0,i[g]<0?y[12+g]=d[0][g]:y[12+g]=d[1][g],s(y,u,y),l.model=y;var C=(g+1)%3,P=(g+2)%3,O=M(x),I=M(b);O[C]=1,I[P]=1;var D=p(0,0,0,S(_,O)),z=p(0,0,0,S(w,I));if(Math.abs(D[1])>Math.abs(z[1])){var R=D;D=z,z=R,R=O,O=I,I=R;var F=C;C=P,P=F}D[0]<0&&(O[C]=-1),z[1]>0&&(I[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(u[4*C+L],2),N+=Math.pow(u[4*P+L],2);O[C]/=Math.sqrt(B),I[P]/=Math.sqrt(N),l.axes[0]=O,l.axes[1]=I,l.fragClipBounds[0]=E(A,v[0],g,-1e8),l.fragClipBounds[1]=E(A,v[1],g,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}(e,r,n,i),a===r.hasAlpha||o){t.bind();var u=t.uniforms;u.model=n.model||f,u.view=n.view||f,u.projection=n.projection||f,m[0]=2/l.drawingBufferWidth,m[1]=2/l.drawingBufferHeight,u.screenSize=m,u.highlightId=r.highlightId,u.highlightScale=r.highlightScale,u.fragClipBounds=L,u.clipBounds=r.axes.bounds,u.opacity=r.opacity,u.pickGroup=r.pickId/255,u.pixelRatio=i,r.vao.bind(),r.vao.draw(l.TRIANGLES,r.vertexCount),r.lineWidth>0&&(l.lineWidth(r.lineWidth*i),r.vao.draw(l.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function P(t,e,r,i){var a;a=Array.isArray(t)?e<t.length?t[e]:void 0:t,a=c(a);var o=!0;n(a)&&(a="▼",o=!1);var s=u(a,r,i);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}y.draw=function(t){C(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},y.drawTransparent=function(t){C(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},y.drawPick=function(t){C(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},y.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},y.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},y.update=function(t){if("perspective"in(t=t||{})&&(this.useOrtho=!t.perspective),"orthographic"in t&&(this.useOrtho=!!t.orthographic),"lineWidth"in t&&(this.lineWidth=t.lineWidth),"project"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if("projectScale"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,"projectOpacity"in t){Array.isArray(t.projectOpacity)?this.projectOpacity=t.projectOpacity.slice():(r=+t.projectOpacity,this.projectOpacity=[r,r,r]);for(var n=0;n<3;++n)this.projectOpacity[n]=v(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,"opacity"in t&&(this.opacity=v(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l=t.font||"normal",u=t.alignment||[0,0];if(2===u.length)i=u[0],a=u[1];else for(i=[],a=[],n=0;n<u.length;++n)i[n]=u[n][0],a[n]=u[n][1];var c=[1/0,1/0,1/0],f=[-1/0,-1/0,-1/0],h=t.glyph,p=t.color,d=t.size,g=t.angle,y=t.lineColor,m=-1,x=0,b=0,_=0;if(s.length){_=s.length;t:for(n=0;n<_;++n){for(var w=s[n],T=0;T<3;++T)if(isNaN(w[T])||!isFinite(w[T]))continue t;var A=(N=P(h,n,l,this.pixelRatio)).mesh,k=N.lines,M=N.bounds;x+=3*A.cells.length,b+=2*k.edges.length}}var S=x+b,E=o.mallocFloat(3*S),L=o.mallocFloat(4*S),C=o.mallocFloat(2*S),O=o.mallocUint32(S);if(S>0){var I=0,D=x,z=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(y)&&Array.isArray(y[0]);t:for(n=0;n<_;++n){for(m+=1,w=s[n],T=0;T<3;++T){if(isNaN(w[T])||!isFinite(w[T]))continue t;f[T]=Math.max(f[T],w[T]),c[T]=Math.min(c[T],w[T])}A=(N=P(h,n,l,this.pixelRatio)).mesh,k=N.lines,M=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(U=F?n<p.length?p[n]:[0,0,0,0]:p).length){for(T=0;T<3;++T)z[T]=U[T];z[3]=1}else if(4===U.length){for(T=0;T<4;++T)z[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else z[0]=z[1]=z[2]=0,z[3]=1;else 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tt=J[K[$]];C[2*I]=V*(q*tt[0]-G*tt[1]+Z[0]),C[2*I+1]=V*(G*tt[0]+q*tt[1]+Z[1]),I+=1}for(X=k.edges,J=k.positions,T=0;T<X.length;++T)for(K=X[T],$=0;$<2;++$){for(Q=0;Q<3;++Q)E[3*D+Q]=w[Q];for(Q=0;Q<4;++Q)L[4*D+Q]=R[Q];O[D]=m,tt=J[K[$]],C[2*D]=V*(q*tt[0]-G*tt[1]+Z[0]),C[2*D+1]=V*(G*tt[0]+q*tt[1]+Z[1]),D+=1}}}this.bounds=[c,f],this.points=s,this.pointCount=s.length,this.vertexCount=x,this.lineVertexCount=b,this.pointBuffer.update(E),this.colorBuffer.update(L),this.glyphBuffer.update(C),this.idBuffer.update(O),o.free(E),o.free(L),o.free(C),o.free(O)},y.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()}},1884:function(t,e,r){"use strict";var n=r(6832);e.boxVertex=n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 vertex;\n\nuniform vec2 cornerA, cornerB;\n\nvoid main() {\n  gl_Position = vec4(mix(cornerA, cornerB, vertex), 0, 1);\n}\n"]),e.boxFragment=n(["precision mediump float;\n#define GLSLIFY 1\n\nuniform vec4 color;\n\nvoid main() {\n  gl_FragColor = color;\n}\n"])},6623:function(t,e,r){"use strict";var n=r(5158),i=r(5827),a=r(1884);function o(t,e,r){this.plot=t,this.boxBuffer=e,this.boxShader=r,this.enabled=!0,this.selectBox=[1/0,1/0,-1/0,-1/0],this.borderColor=[0,0,0,1],this.innerFill=!1,this.innerColor=[0,0,0,.25],this.outerFill=!0,this.outerColor=[0,0,0,.5],this.borderWidth=10}t.exports=function(t,e){var r=t.gl,s=new o(t,i(r,[0,0,0,1,1,0,1,1]),n(r,a.boxVertex,a.boxFragment));return s.update(e),t.addOverlay(s),s};var s=o.prototype;s.draw=function(){if(this.enabled){var t=this.plot,e=this.selectBox,r=this.borderWidth,n=(this.innerFill,this.innerColor),i=(this.outerFill,this.outerColor),a=this.borderColor,o=t.box,s=t.screenBox,l=t.dataBox,u=t.viewBox,c=t.pixelRatio,f=(e[0]-l[0])*(u[2]-u[0])/(l[2]-l[0])+u[0],h=(e[1]-l[1])*(u[3]-u[1])/(l[3]-l[1])+u[1],p=(e[2]-l[0])*(u[2]-u[0])/(l[2]-l[0])+u[0],d=(e[3]-l[1])*(u[3]-u[1])/(l[3]-l[1])+u[1];if(f=Math.max(f,u[0]),h=Math.max(h,u[1]),p=Math.min(p,u[2]),d=Math.min(d,u[3]),!(p<f||d<h)){o.bind();var v=s[2]-s[0],g=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,v,h,i),o.drawBox(0,h,f,d,i),o.drawBox(0,d,v,g,i),o.drawBox(p,h,v,d,i)),this.innerFill&&o.drawBox(f,h,p,d,n),r>0){var y=r*c;o.drawBox(f-y,h-y,p+y,h+y,a),o.drawBox(f-y,d-y,p+y,d+y,a),o.drawBox(f-y,h-y,f+y,d+y,a),o.drawBox(p-y,h-y,p+y,d+y,a)}}}},s.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},2611:function(t,e,r){"use strict";t.exports=function(t,e){var r=e[0],a=e[1];return new l(t,n(t,r,a,{}),i.mallocUint8(r*a*4))};var n=r(4234),i=r(5306),a=r(5050),o=r(2288).nextPow2;function s(t,e,r,n,i){this.coord=[t,e],this.id=r,this.value=n,this.distance=i}function l(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var 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i=0|Math.min(Math.max(t-r,0),n[0]),o=0|Math.min(Math.max(t+r,0),n[0]),l=0|Math.min(Math.max(e-r,0),n[1]),u=0|Math.min(Math.max(e+r,0),n[1]);if(o<=i||u<=l)return null;var c=[o-i,u-l],f=a(this.buffer,[c[0],c[1],4],[4,4*n[0],1],4*(i+n[0]*l)),h=function(t,e,r){for(var n=1e8,i=-1,a=-1,o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var u=0;u<s;u++){var c=t.get(l,u,0),f=t.get(l,u,1),h=t.get(l,u,2),p=t.get(l,u,3);if(c<255||f<255||h<255||p<255){var d=e-l,v=r-u,g=d*d+v*v;g<n&&(n=g,i=l,a=u)}}return[i,a,n]}(f.hi(c[0],c[1],1),r,r),p=h[0],d=h[1];return p<0||Math.pow(this.radius,2)<h[2]?null:new s(p+i|0,d+l|0,f.get(p,d,0),[f.get(p,d,1),f.get(p,d,2),f.get(p,d,3)],Math.sqrt(h[2]))},u.dispose=function(){this.gl&&(this.fbo.dispose(),i.free(this.buffer),this.gl=null,this._readTimeout&&clearTimeout(this._readTimeout))}},5158:function(t,e,r){"use strict";var n=r(9016),i=r(4280),a=r(3984),o=r(1628),s=r(2631),l=r(9068);function 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with\n  // model & view changes.\n  vec3 normal;\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n  //Lighting geometry parameters\n  vec4 cameraCoordinate = view * tubePosition;\n  cameraCoordinate.xyz /= cameraCoordinate.w;\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n  // vec4 m_position  = model * vec4(tubePosition, 1.0);\n  vec4 t_position  = view * tubePosition;\n  gl_Position      = projection * t_position;\n\n  f_color          = color;\n  f_data           = tubePosition.xyz;\n  f_position       = position.xyz;\n  f_uv             = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n  float NdotH = max(x, 0.0001);\n  float cos2Alpha = NdotH * NdotH;\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n  float roughness2 = roughness * roughness;\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n  return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n  vec3 lightDirection,\n  vec3 viewDirection,\n  vec3 surfaceNormal,\n  float roughness,\n  float fresnel) {\n\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n  //Half angle vector\n  vec3 H = normalize(lightDirection + viewDirection);\n\n  //Geometric term\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\n  float VdotH = max(dot(viewDirection, H), 0.000001);\n  float LdotH = max(dot(lightDirection, H), 0.000001);\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\n  float G = min(1.0, min(G1, G2));\n  \n  //Distribution term\n  float D = beckmannDistribution(NdotH, roughness);\n\n  //Fresnel term\n  float F = pow(1.0 - VdotN, fresnel);\n\n  //Multiply terms and done\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform sampler2D texture;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n  vec3 N = normalize(f_normal);\n  vec3 L = normalize(f_lightDirection);\n  vec3 V = normalize(f_eyeDirection);\n\n  if(gl_FrontFacing) {\n    N = -N;\n  }\n\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n\n  gl_FragColor = litColor * opacity;\n}\n"]),o=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n  // Return up-vector for only-z vector.\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n  // Assign z = 0, x = -b, y = a:\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n    return normalize(vec3(-v.y, v.x, 0.0));\n  } else {\n    return normalize(vec3(0.0, v.z, -v.y));\n  }\n}\n\n// Calculate the tube vertex and normal at the given index.\n//\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\n//\n// Each tube segment is made up of a ring of vertices.\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\n// The indexes of tube segments run from 0 to 8.\n//\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\n  float segmentCount = 8.0;\n\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\n\n  vec3 u = getOrthogonalVector(d);\n  vec3 v = normalize(cross(u, d));\n\n  vec3 x = u * cos(angle) * length(d);\n  vec3 y = v * sin(angle) * length(d);\n  vec3 v3 = x + y;\n\n  normal = normalize(v3);\n\n  return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform float tubeScale;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  vec3 normal;\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n  gl_Position = projection * view * tubePosition;\n  f_id        = id;\n  f_position  = position.xyz;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3  clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n  gl_FragColor = vec4(pickId, f_id.xyz);\n}"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec4"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"vector",type:"vec4"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec4"},{name:"id",type:"vec4"},{name:"vector",type:"vec4"}]}},7307:function(t,e,r){"use strict";var n=r(2858),i=r(4020),a=["xyz","xzy","yxz","yzx","zxy","zyx"],o=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var i=t[r];if(i===e)return r;if(i>e)return r-1}return r},s=function(t,e,r){return t<e?e:t>r?r:t},l=function(t){var e=1/0;t.sort(function(t,e){return t-e});for(var r=t.length,n=1;n<r;n++){var i=Math.abs(t[n]-t[n-1]);i<e&&(e=i)}return e};t.exports=function(t,e){var r=t.startingPositions,u=t.maxLength||1e3,c=t.tubeSize||1,f=t.absoluteTubeSize,h=t.gridFill||"+x+y+z",p={};-1!==h.indexOf("-x")&&(p.reversedX=!0),-1!==h.indexOf("-y")&&(p.reversedY=!0),-1!==h.indexOf("-z")&&(p.reversedZ=!0),p.filled=a.indexOf(h.replace(/-/g,"").replace(/\+/g,""));var d=t.getVelocity||function(e){return function(t,e,r){var i=e.vectors,a=e.meshgrid,l=t[0],u=t[1],c=t[2],f=a[0].length,h=a[1].length,p=a[2].length,d=o(a[0],l),v=o(a[1],u),g=o(a[2],c),y=d+1,m=v+1,x=g+1;if(d=s(d,0,f-1),y=s(y,0,f-1),v=s(v,0,h-1),m=s(m,0,h-1),g=s(g,0,p-1),x=s(x,0,p-1),d<0||v<0||g<0||y>f-1||m>h-1||x>p-1)return n.create();var b,_,w,T,A,k,M=a[0][d],S=a[0][y],E=a[1][v],L=a[1][m],C=a[2][g],P=(l-M)/(S-M),O=(u-E)/(L-E),I=(c-C)/(a[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(O)||(O=.5),isFinite(I)||(I=.5),r.reversedX&&(d=f-1-d,y=f-1-y),r.reversedY&&(v=h-1-v,m=h-1-m),r.reversedZ&&(g=p-1-g,x=p-1-x),r.filled){case 5:A=g,k=x,w=v*p,T=m*p,b=d*p*h,_=y*p*h;break;case 4:A=g,k=x,b=d*p,_=y*p,w=v*p*f,T=m*p*f;break;case 3:w=v,T=m,A=g*h,k=x*h,b=d*h*p,_=y*h*p;break;case 2:w=v,T=m,b=d*h,_=y*h,A=g*h*f,k=x*h*f;break;case 1:b=d,_=y,A=g*f,k=x*f,w=v*f*p,T=m*f*p;break;default:b=d,_=y,w=v*f,T=m*f,A=g*f*h,k=x*f*h}var D=i[b+w+A],z=i[b+w+k],R=i[b+T+A],F=i[b+T+k],B=i[_+w+A],N=i[_+w+k],j=i[_+T+A],U=i[_+T+k],V=n.create(),H=n.create(),q=n.create(),G=n.create();n.lerp(V,D,B,P),n.lerp(H,z,N,P),n.lerp(q,R,j,P),n.lerp(G,F,U,P);var Y=n.create(),W=n.create();n.lerp(Y,V,q,O),n.lerp(W,H,G,O);var Z=n.create();return n.lerp(Z,Y,W,I),Z}(e,t,p)},v=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},g=[],y=e[0][0],m=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(e<y||e>b||r<m||r>_||n<x||n>w)},A=10*n.distance(e[0],e[1])/u,k=A*A,M=1,S=0,E=r.length;E>1&&(M=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,u=0;u<s;u++){var c=t[u],f=c[0],h=c[1],p=c[2];i[f]||(e.push(f),i[f]=!0),a[h]||(r.push(h),a[h]=!0),o[p]||(n.push(p),o[p]=!0)}var d=l(e),v=l(r),g=l(n),y=Math.min(d,v,g);return isFinite(y)?y:1}(r));for(var L=0;L<E;L++){var C=n.create();n.copy(C,r[L]);var P=[C],O=[],I=d(C),D=C;O.push(I);var z=[],R=v(C,I),F=n.length(R);isFinite(F)&&F>S&&(S=F),z.push(F),g.push({points:P,velocities:O,divergences:z});for(var B=0;B<100*u&&P.length<u&&T(C);){B++;var N=n.clone(I),j=n.squaredLength(N);if(0===j)break;j>k&&n.scale(N,N,A/Math.sqrt(j)),n.add(N,N,C),I=d(N),n.squaredDistance(D,N)-k>-1e-4*k&&(P.push(N),D=N,O.push(I),R=v(N,I),F=n.length(R),isFinite(F)&&F>S&&(S=F),z.push(F)),C=N}}var U=function(t,e,r,a){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,u=0;u<l.length;u++)o=Math.max(o,n.length(l[u]));var c=t.map(function(t){return function(t,e,r,a){for(var o=t.points,s=t.velocities,l=t.divergences,u=[],c=[],f=[],h=[],p=[],d=[],v=0,g=0,y=i.create(),m=i.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),g=n.length(_)/a,y=i.create(),n.copy(y,_),y[3]=w;for(var T=0;T<8;T++)p[T]=[b[0],b[1],b[2],T];if(h.length>0)for(T=0;T<8;T++){var A=(T+1)%8;u.push(h[T],p[T],p[A],p[A],h[A],h[T]),f.push(m,y,y,y,m,m),d.push(v,g,g,g,v,v);var k=u.length;c.push([k-6,k-5,k-4],[k-3,k-2,k-1])}var M=h;h=p,p=M;var S=m;m=y,y=S;var E=v;v=g,g=E}return{positions:u,cells:c,vectors:f,vertexIntensity:d}}(t,r,a,o)}),f=[],h=[],p=[],d=[];for(s=0;s<c.length;s++){var v=c[s],g=f.length;for(f=f.concat(v.positions),p=p.concat(v.vectors),d=d.concat(v.vertexIntensity),u=0;u<v.cells.length;u++){var y=v.cells[u],m=[];h.push(m);for(var x=0;x<y.length;x++)m.push(y[x]+g)}}return{positions:f,cells:h,vectors:p,vertexIntensity:d,colormap:e}}(g,t.colormap,S,M);return f?U.tubeScale=f:(0===S&&(S=1),U.tubeScale=.5*c*M/S),U};var u=r(9578),c=r(1140).createMesh;t.exports.createTubeMesh=function(t,e){return c(t,e,{shaders:u,traceType:"streamtube"})}},9054:function(t,e,r){var n=r(5158),i=r(6832),a=i(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec4 uv;\nattribute vec3 f;\nattribute vec3 normal;\n\nuniform vec3 objectOffset;\nuniform mat4 model, view, projection, inverseModel;\nuniform vec3 lightPosition, eyePosition;\nuniform sampler2D colormap;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n  vec3 localCoordinate = vec3(uv.zw, f.x);\n  worldCoordinate = objectOffset + localCoordinate;\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\n  vec4 clipPosition = projection * view * worldPosition;\n  gl_Position = clipPosition;\n  kill = f.y;\n  value = f.z;\n  planeCoordinate = uv.xy;\n\n  vColor = texture2D(colormap, vec2(value, value));\n\n  //Lighting geometry parameters\n  vec4 cameraCoordinate = view * worldPosition;\n  cameraCoordinate.xyz /= cameraCoordinate.w;\n  lightDirection = lightPosition - cameraCoordinate.xyz;\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\n}\n"]),o=i(["precision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n  float NdotH = max(x, 0.0001);\n  float cos2Alpha = NdotH * NdotH;\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n  float roughness2 = roughness * roughness;\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n  return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat beckmannSpecular(\n  vec3 lightDirection,\n  vec3 viewDirection,\n  vec3 surfaceNormal,\n  float roughness) {\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\n}\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 lowerBound, upperBound;\nuniform float contourTint;\nuniform vec4 contourColor;\nuniform sampler2D colormap;\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform float vertexColor;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n  if (\n    kill > 0.0 ||\n    vColor.a == 0.0 ||\n    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\n  ) discard;\n\n  vec3 N = normalize(surfaceNormal);\n  vec3 V = normalize(eyeDirection);\n  vec3 L = normalize(lightDirection);\n\n  if(gl_FrontFacing) {\n    N = -N;\n  }\n\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n  //decide how to interpolate color — in vertex or in fragment\n  vec4 surfaceColor =\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\n    step(.5, vertexColor) * vColor;\n\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\n}\n"]),s=i(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec4 uv;\nattribute float f;\n\nuniform vec3 objectOffset;\nuniform mat3 permutation;\nuniform mat4 model, view, projection;\nuniform float height, zOffset;\nuniform sampler2D colormap;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\n  worldCoordinate = objectOffset + dataCoordinate;\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\n\n  vec4 clipPosition = projection * view * worldPosition;\n  clipPosition.z += zOffset;\n\n  gl_Position = clipPosition;\n  value = f + objectOffset.z;\n  kill = -1.0;\n  planeCoordinate = uv.zw;\n\n  vColor = texture2D(colormap, vec2(value, value));\n\n  //Don't do lighting for contours\n  surfaceNormal   = vec3(1,0,0);\n  eyeDirection    = vec3(0,1,0);\n  lightDirection  = vec3(0,0,1);\n}\n"]),l=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec2 shape;\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 surfaceNormal;\n\nvec2 splitFloat(float v) {\n  float vh = 255.0 * v;\n  float upper = floor(vh);\n  float lower = fract(vh);\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\n}\n\nvoid main() {\n  if ((kill > 0.0) ||\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\n\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\n}\n"]);e.createShader=function(t){var e=n(t,a,o,null,[{name:"uv",type:"vec4"},{name:"f",type:"vec3"},{name:"normal",type:"vec3"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createPickShader=function(t){var e=n(t,a,l,null,[{name:"uv",type:"vec4"},{name:"f",type:"vec3"},{name:"normal",type:"vec3"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createContourShader=function(t){var e=n(t,s,o,null,[{name:"uv",type:"vec4"},{name:"f",type:"float"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},e.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:"uv",type:"vec4"},{name:"f",type:"float"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},3754:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl,r=m(e),n=b(e),s=x(e),l=_(e),u=i(e),c=a(e,[{buffer:u,size:4,stride:w,offset:0},{buffer:u,size:3,stride:w,offset:16},{buffer:u,size:3,stride:w,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),v=o(e,1,S,e.RGBA,e.UNSIGNED_BYTE);v.minFilter=e.LINEAR,v.magFilter=e.LINEAR;var g=new E(e,[0,0],[[0,0,0],[0,0,0]],r,n,u,c,v,s,l,f,h,p,d,[0,0,0]),y={levels:[[],[],[]]};for(var T in t)y[T]=t[T];return y.colormap=y.colormap||"jet",g.update(y),g};var n=r(2288),i=r(5827),a=r(2944),o=r(8931),s=r(5306),l=r(9156),u=r(7498),c=r(7382),f=r(5050),h=r(4162),p=r(104),d=r(7437),v=r(5070),g=r(9144),y=r(9054),m=y.createShader,x=y.createContourShader,b=y.createPickShader,_=y.createPickContourShader,w=40,T=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],A=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],k=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function M(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t<3;++t){var e=k[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();var S=256;function E(t,e,r,n,i,a,o,l,u,c,h,p,d,v,g){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=g,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=u,this._contourPickShader=c,this._contourBuffer=h,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new M([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=v,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var L=E.prototype;L.genColormap=function(t,e){var r=!1,n=c([l({colormap:t,nshades:S,format:"rgba"}).map(function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]})]);return u.divseq(n,255),this.hasAlphaScale=r,n},L.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},L.isOpaque=function(){return!this.isTransparent()},L.pickSlots=1,L.setPickBase=function(t){this.pickId=t};var C=[0,0,0],P={showSurface:!1,showContour:!1,projections:[T.slice(),T.slice(),T.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function O(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||C,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=P.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var u=P.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)u[i][n]=t.clipBounds[i][n];u[0][r]=-1e8,u[1][r]=1e8}return P.showSurface=o,P.showContour=s,P}var I={model:T,view:T,projection:T,inverseModel:T.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},D=T.slice(),z=[1,0,0,0,1,0,0,0,1];function R(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=I;n.model=t.model||T,n.view=t.view||T,n.projection=t.projection||T,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=z,n.vertexColor=this.vertexColor;var s=D;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var u=s[12+i];for(o=0;o<3;++o)u+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=u/l}var c=O(n,this);if(c.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=c.projections[i],this._shader.uniforms.clipBounds=c.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(c.showContour){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var h=this._contourVAO;for(h.bind(),i=0;i<3;++i)for(f.uniforms.permutation=k[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o<this.contourLevels[i].length;++o)o===this.highlightLevel[i]?(f.uniforms.contourColor=this.highlightColor[i],f.uniforms.contourTint=this.highlightTint[i]):0!==o&&o-1!==this.highlightLevel[i]||(f.uniforms.contourColor=this.contourColor[i],f.uniforms.contourTint=this.contourTint[i]),this._contourCounts[i][o]&&(f.uniforms.height=this.contourLevels[i][o],h.draw(r.LINES,this._contourCounts[i][o],this._contourOffsets[i][o]));for(i=0;i<3;++i)for(f.uniforms.model=c.projections[i],f.uniforms.clipBounds=c.clipBounds[i],o=0;o<3;++o)if(this.contourProject[i][o]){f.uniforms.permutation=k[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var v=0;v<this.contourLevels[o].length;++v)v===this.highlightLevel[o]?(f.uniforms.contourColor=this.highlightColor[o],f.uniforms.contourTint=this.highlightTint[o]):0!==v&&v-1!==this.highlightLevel[o]||(f.uniforms.contourColor=this.contourColor[o],f.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][v]&&(f.uniforms.height=this.contourLevels[o][v],h.draw(r.LINES,this._contourCounts[o][v],this._contourOffsets[o][v]))}for(h.unbind(),(h=this._dynamicVAO).bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(f.uniforms.model=n.model,f.uniforms.clipBounds=n.clipBounds,f.uniforms.permutation=k[i],r.lineWidth(this.dynamicWidth[i]*this.pixelRatio),f.uniforms.contourColor=this.dynamicColor[i],f.uniforms.contourTint=this.dynamicTint[i],f.uniforms.height=this.dynamicLevel[i],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),o=0;o<3;++o)this.contourProject[o][i]&&(f.uniforms.model=c.projections[o],f.uniforms.clipBounds=c.clipBounds[o],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));h.unbind()}}L.draw=function(t){return R.call(this,t,!1)},L.drawTransparent=function(t){return R.call(this,t,!0)};var F={model:T,view:T,projection:T,inverseModel:T,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function B(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function N(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function j(t){if(Array.isArray(t)){if(Array.isArray(t))return[N(t[0]),N(t[1]),N(t[2])];var e=N(t);return[e.slice(),e.slice(),e.slice()]}}L.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=F;r.model=t.model||T,r.view=t.view||T,r.projection=t.projection||T,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=z;for(var n=0;n<2;++n)for(var i=r.clipBounds[n],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var o=O(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]*this.pixelRatio),s.uniforms.permutation=k[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(s.uniforms.height=this.contourLevels[a][n],l.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){s.uniforms.permutation=k[a],e.lineWidth(this.contourWidth[a]*this.pixelRatio);for(var u=0;u<this.contourLevels[a].length;++u)this._contourCounts[a][u]&&(s.uniforms.height=this.contourLevels[a][u],l.draw(e.LINES,this._contourCounts[a][u],this._contourOffsets[a][u]))}l.unbind()}},L.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var u=r.position;u[0]=u[1]=u[2]=0;for(var c=0;c<2;++c)for(var f=c?a:1-a,h=0;h<2;++h)for(var p=i+c,d=s+h,g=f*(h?l:1-l),y=0;y<3;++y)u[y]+=this._field[y].get(p,d)*g;for(var m=this._pickResult.level,x=0;x<3;++x)if(m[x]=v.le(this.contourLevels[x],u[x]),m[x]<0)this.contourLevels[x].length>0&&(m[x]=0);else if(m[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][m[x]],_=this.contourLevels[x][m[x]+1];Math.abs(b-u[x])>Math.abs(_-u[x])&&(m[x]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],y=0;y<3;++y)r.dataCoordinate[y]=this._field[y].get(r.index[0],r.index[1]);return r},L.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();u.assign(t.lo(1,1).hi(r[0],r[1]),e),u.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),u.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),u.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),u.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},L.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,"contourWidth"in t&&(this.contourWidth=B(t.contourWidth,Number)),"showContour"in t&&(this.showContour=B(t.showContour,Boolean)),"showSurface"in t&&(this.showSurface=!!t.showSurface),"contourTint"in t&&(this.contourTint=B(t.contourTint,Boolean)),"contourColor"in t&&(this.contourColor=j(t.contourColor)),"contourProject"in t&&(this.contourProject=B(t.contourProject,function(t){return B(t,Boolean)})),"surfaceProject"in t&&(this.surfaceProject=t.surfaceProject),"dynamicColor"in t&&(this.dynamicColor=j(t.dynamicColor)),"dynamicTint"in t&&(this.dynamicTint=B(t.dynamicTint,Number)),"dynamicWidth"in t&&(this.dynamicWidth=B(t.dynamicWidth,Number)),"opacity"in t&&(this.opacity=t.opacity),"opacityscale"in t&&(this.opacityscale=t.opacityscale),"colorBounds"in t&&(this.colorBounds=t.colorBounds),"vertexColor"in t&&(this.vertexColor=t.vertexColor?1:0),"colormap"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),"field"in t||"coords"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=f(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error("gl-surface: invalid coordinates for x/y");for(o=0;o<2;++o){var u=l[o];for(y=0;y<2;++y)if(u.shape[y]!==a[y])throw new Error("gl-surface: coords have incorrect shape");this.padField(this._field[o],u)}}else if(t.ticks){var c=t.ticks;if(!Array.isArray(c)||2!==c.length)throw new Error("gl-surface: invalid ticks");for(o=0;o<2;++o){var p=c[o];if((Array.isArray(p)||p.length)&&(p=f(p)),p.shape[0]!==a[o])throw new Error("gl-surface: invalid tick length");var d=f(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var v=[0,0];v[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],v,0)}this._field[0].set(0,0,0);for(var y=0;y<a[0];++y)this._field[0].set(y+1,0,y);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),y=0;y<a[1];++y)this._field[1].set(0,y+1,y);this._field[1].set(0,a[1]+1,a[1]-1)}var m=this._field,x=f(s.mallocFloat(3*m[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)g(x.pick(o),m[o],"mirror");var b=f(s.mallocFloat(3*m[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(y=0;y<a[1]+2;++y){var _=x.get(0,o,y,0),w=x.get(0,o,y,1),T=x.get(1,o,y,0),k=x.get(1,o,y,1),M=x.get(2,o,y,0),S=x.get(2,o,y,1),E=T*S-k*M,L=M*w-S*_,C=_*k-w*T,P=Math.sqrt(E*E+L*L+C*C);P<1e-8?(P=Math.max(Math.abs(E),Math.abs(L),Math.abs(C)))<1e-8?(C=1,L=E=0,P=1):P=1/P:P=1/Math.sqrt(P),b.set(o,y,0,E*P),b.set(o,y,1,L*P),b.set(o,y,2,C*P)}s.free(x.data);var O=[1/0,1/0,1/0],I=[-1/0,-1/0,-1/0],D=1/0,z=-1/0,R=(a[0]-1)*(a[1]-1)*6,F=s.mallocFloat(n.nextPow2(10*R)),N=0,U=0;for(o=0;o<a[0]-1;++o)t:for(y=0;y<a[1]-1;++y){for(var V=0;V<2;++V)for(var H=0;H<2;++H)for(var q=0;q<3;++q){var G=this._field[q].get(1+o+V,1+y+H);if(isNaN(G)||!isFinite(G))continue t}for(q=0;q<6;++q){var Y=o+A[q][0],W=y+A[q][1],Z=this._field[0].get(Y+1,W+1),X=this._field[1].get(Y+1,W+1);G=this._field[2].get(Y+1,W+1),E=b.get(Y+1,W+1,0),L=b.get(Y+1,W+1,1),C=b.get(Y+1,W+1,2),t.intensity&&(J=t.intensity.get(Y,W));var J=t.intensity?t.intensity.get(Y,W):G+this.objectOffset[2];F[N++]=Y,F[N++]=W,F[N++]=Z,F[N++]=X,F[N++]=G,F[N++]=0,F[N++]=J,F[N++]=E,F[N++]=L,F[N++]=C,O[0]=Math.min(O[0],Z+this.objectOffset[0]),O[1]=Math.min(O[1],X+this.objectOffset[1]),O[2]=Math.min(O[2],G+this.objectOffset[2]),D=Math.min(D,J),I[0]=Math.max(I[0],Z+this.objectOffset[0]),I[1]=Math.max(I[1],X+this.objectOffset[1]),I[2]=Math.max(I[2],G+this.objectOffset[2]),z=Math.max(z,J),U+=1}}for(t.intensityBounds&&(D=+t.intensityBounds[0],z=+t.intensityBounds[1]),o=6;o<N;o+=10)F[o]=(F[o]-D)/(z-D);this._vertexCount=U,this._coordinateBuffer.update(F.subarray(0,N)),s.freeFloat(F),s.free(b.data),this.bounds=[O,I],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===D&&this.intensityBounds[1]===z||(r=!0),this.intensityBounds=[D,z]}if("levels"in t){var K=t.levels;for(K=Array.isArray(K[0])?K.slice():[[],[],K],o=0;o<3;++o)K[o]=K[o].slice(),K[o].sort(function(t,e){return t-e});for(o=0;o<3;++o)for(y=0;y<K[o].length;++y)K[o][y]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(K[o].length!==this.contourLevels[o].length){r=!0;break}for(y=0;y<K[o].length;++y)if(K[o][y]!==this.contourLevels[o][y]){r=!0;break t}}this.contourLevels=K}if(r){m=this._field,a=this.shape;for(var $=[],Q=0;Q<3;++Q){var tt=this.contourLevels[Q],et=[],rt=[],nt=[0,0,0];for(o=0;o<tt.length;++o){var it=h(this._field[Q],tt[o]);et.push($.length/5|0),U=0;t:for(y=0;y<it.cells.length;++y){var at=it.cells[y];for(q=0;q<2;++q){var ot=it.positions[at[q]],st=ot[0],lt=0|Math.floor(st),ut=st-lt,ct=ot[1],ft=0|Math.floor(ct),ht=ct-ft,pt=!1;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var vt=(Q+dt+1)%3;for(V=0;V<2;++V){var gt=V?ut:1-ut;for(Y=0|Math.min(Math.max(lt+V,0),a[0]),H=0;H<2;++H){var yt=H?ht:1-ht;if(W=0|Math.min(Math.max(ft+H,0),a[1]),G=dt<2?this._field[vt].get(Y,W):(this.intensity.get(Y,W)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(G)||isNaN(G)){pt=!0;break e}var mt=gt*yt;nt[dt]+=mt*G}}}if(pt){if(q>0){for(var xt=0;xt<5;++xt)$.pop();U-=1}continue t}$.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[Q]=et,this._contourCounts[Q]=rt}var bt=s.mallocFloat($.length);for(o=0;o<$.length;++o)bt[o]=$[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},L.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},L.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,u=(o+2)%3,c=this._field[o],f=this._field[l],p=this._field[u],d=h(c,r[o]),v=d.cells,g=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<v.length;++e)for(var y=v[e],m=0;m<2;++m){var x=g[y[m]],b=+x[0],_=0|b,w=0|Math.min(_+1,i[0]),T=b-_,A=1-T,k=+x[1],M=0|k,S=0|Math.min(M+1,i[1]),E=k-M,L=1-E,C=A*L,P=A*E,O=T*L,I=T*E,D=C*f.get(_,M)+P*f.get(_,S)+O*f.get(w,M)+I*f.get(w,S),z=C*p.get(_,M)+P*p.get(_,S)+O*p.get(w,M)+I*p.get(w,S);if(isNaN(D)||isNaN(z)){m&&(n-=1);break}a[2*n+0]=D,a[2*n+1]=z,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),s.freeFloat(a)}}},8931:function(t,e,r){"use strict";var n=r(5050),i=r(7498),a=r(5306);t.exports=function(t){if(arguments.length<=1)throw new Error("gl-texture2d: Missing arguments for texture2d constructor");if(o||function(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}(t),"number"==typeof arguments[1])return g(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return g(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if("object"==typeof arguments[1]){var e=arguments[1],r=u(e)?e:e.raw;if(r)return function(t,e,r,n,i,a){var o=v(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new h(t,o,r,n,i,a)}(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return function(t,e){var r=e.dtype,o=e.shape.slice(),s=t.getParameter(t.MAX_TEXTURE_SIZE);if(o[0]<0||o[0]>s||o[1]<0||o[1]>s)throw new Error("gl-texture2d: Invalid texture size");var l=d(o,e.stride.slice()),u=0;"float32"===r?u=t.FLOAT:"float64"===r?(u=t.FLOAT,l=!1,r="float32"):"uint8"===r?u=t.UNSIGNED_BYTE:(u=t.UNSIGNED_BYTE,l=!1,r="uint8");var f,p,g=0;if(2===o.length)g=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error("gl-texture2d: Invalid shape for texture");if(1===o[2])g=t.ALPHA;else if(2===o[2])g=t.LUMINANCE_ALPHA;else if(3===o[2])g=t.RGB;else{if(4!==o[2])throw new Error("gl-texture2d: Invalid shape for pixel coords");g=t.RGBA}}u!==t.FLOAT||t.getExtension("OES_texture_float")||(u=t.UNSIGNED_BYTE,l=!1);var y=e.size;if(l)f=0===e.offset&&e.data.length===y?e.data:e.data.subarray(e.offset,e.offset+y);else{var m=[o[2],o[2]*o[0],1];p=a.malloc(y,r);var x=n(p,o,m,0);"float32"!==r&&"float64"!==r||u!==t.UNSIGNED_BYTE?i.assign(x,e):c(x,e),f=p.subarray(0,y)}var b=v(t);return t.texImage2D(t.TEXTURE_2D,0,g,o[0],o[1],0,g,u,f),l||a.free(p),new h(t,b,o[0],o[1],g,u)}(t,e)}throw new Error("gl-texture2d: Invalid arguments for texture2d constructor")};var o=null,s=null,l=null;function u(t){return"undefined"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||"undefined"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||"undefined"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||"undefined"!=typeof ImageData&&t instanceof ImageData}var c=function(t,e){i.muls(t,e,255)};function f(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error("gl-texture2d: Invalid texture size");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function h(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var p=h.prototype;function d(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function v(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function g(t,e,r,n,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error("gl-texture2d: Invalid texture shape");if(i===t.FLOAT&&!t.getExtension("OES_texture_float"))throw new Error("gl-texture2d: Floating point textures not supported on this platform");var o=v(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new h(t,o,e,r,n,i)}Object.defineProperties(p,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension("OES_texture_float_linear")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error("gl-texture2d: Unknown filter mode "+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension("OES_texture_float_linear")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error("gl-texture2d: Unknown filter mode "+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension("EXT_texture_filter_anisotropic");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error("gl-texture2d: Must specify wrap mode for rows and columns");for(var e=0;e<2;++e)if(l.indexOf(t[e])<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);this._wrapS=t[0],this._wrapT=t[1];var r=this.gl;return this.bind(),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_S,this._wrapS),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_T,this._wrapT),t}},shape:{get:function(){return this._shapeVector},set:function(t){if(Array.isArray(t)){if(2!==t.length)throw new Error("gl-texture2d: Invalid texture shape")}else t=[0|t,0|t];return f(this,0|t[0],0|t[1]),[0|t[0],0|t[1]]}},width:{get:function(){return this._shape[0]},set:function(t){return f(this,t|=0,this._shape[1]),t}},height:{get:function(){return this._shape[1]},set:function(t){return t|=0,f(this,this._shape[0],t),t}}}),p.bind=function(t){var e=this.gl;return void 0!==t&&e.activeTexture(e.TEXTURE0+(0|t)),e.bindTexture(e.TEXTURE_2D,this.handle),void 0!==t?0|t:e.getParameter(e.ACTIVE_TEXTURE)-e.TEXTURE0},p.dispose=function(){this.gl.deleteTexture(this.handle)},p.generateMipmap=function(){this.bind(),this.gl.generateMipmap(this.gl.TEXTURE_2D);for(var t=Math.min(this._shape[0],this._shape[1]),e=0;t>0;++e,t>>>=1)this._mipLevels.indexOf(e)<0&&this._mipLevels.push(e)},p.setPixels=function(t,e,r,o){var s=this.gl;this.bind(),Array.isArray(e)?(o=r,r=0|e[1],e=0|e[0]):(e=e||0,r=r||0),o=o||0;var 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r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=O(a),-1!==a.title.position.indexOf("top")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf("bottom")&&(o.y+=(1+i)*t.r);var l,u=t.r/(void 0===(l=t.trace.aspectratio)?1:l),c=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf("left")?(c+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf("center")?c*=2:-1!==a.title.position.indexOf("right")&&(c+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=c/t.titleBox.width,n=P(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function P(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function O(t){var e,r=t.pull;if(!r)return 0;if(Array.isArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function I(t,e){for(var r=[],n=0;n<t.length;n++){var i=t[n][0],a=i.trace,o=a.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);a.title.text&&"middle center"!==a.title.position&&(l-=P(i,e));var u=s/2,c=l/2;"funnelarea"!==a.type||a.scalegroup||(c/=a.aspectratio),i.r=Math.min(u,c)/(1+O(a)),i.cx=e.l+e.w*(a.domain.x[1]+a.domain.x[0])/2,i.cy=e.t+e.h*(1-a.domain.y[0])-l/2,a.title.text&&-1!==a.title.position.indexOf("bottom")&&(i.cy-=P(i,e)),a.scalegroup&&-1===r.indexOf(a.scalegroup)&&r.push(a.scalegroup)}!function(t,e){for(var r,n,i,a=0;a<e.length;a++){var o=1/0,s=e[a];for(n=0;n<t.length;n++)if((i=(r=t[n][0]).trace).scalegroup===s){var l;if("pie"===i.type)l=r.r*r.r;else if("funnelarea"===i.type){var u,c;i.aspectratio>1?c=(u=r.r)/i.aspectratio:u=(c=r.r)*i.aspectratio,l=(u*=(1+i.baseratio)/2)*c}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if((i=(r=t[n][0]).trace).scalegroup===s){var f=o*r.vTotal;"funnelarea"===i.type&&(f/=(1+i.baseratio)/2,f/=i.aspectratio),r.r=Math.sqrt(f)}}}(t,r)}function D(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function z(t,e,r){var n=t._fullLayout,i=r.trace,a=i.texttemplate,o=i.textinfo;if(!a&&o&&"none"!==o){var s,u=o.split("+"),c=function(t){return-1!==u.indexOf(t)},f=c("label"),h=c("text"),p=c("value"),d=c("percent"),v=n.separators;if(s=f?[e.label]:[],h){var y=g.getFirstFilled(i.text,e.pts);m(y)&&s.push(y)}p&&s.push(g.formatPieValue(e.v,v)),d&&s.push(g.formatPiePercent(e.v/r.vTotal,v)),e.text=s.join("<br>")}if(a){var x=l.castOption(i,e.i,"texttemplate");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:g.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:g.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,"customdata")}}(e),_=g.getFirstFilled(i.text,e.pts);(m(_)||""===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,i._meta||{})}else e.text=""}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}t.exports={plot:function(t,e){var r=t._context.staticPlot,a=t._fullLayout,h=a._size;d("pie",a),_(e,t),I(e,h);var v=l.makeTraceGroups(a._pielayer,e,"trace").each(function(e){var d=n.select(this),v=e[0],y=v.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=g.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,u="px0",c="px1";if("counterclockwise"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,u="px1",c="px0"}for(n=D(a,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[u]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=D(a,s),r.midangle=s,n=D(a,s+=l*r.v/2),r.stopangle=s,r[c]=n,r.largeArc=r.v>i.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),d.attr("stroke-linejoin","round"),d.each(function(){var 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diff --git a/docs/articles/cohort_dynamics_and_diffusion_files/typedarray-0.1/typedarray.min.js b/docs/articles/cohort_dynamics_and_diffusion_files/typedarray-0.1/typedarray.min.js
new file mode 100644
index 000000000..8e25a3c8d
--- /dev/null
+++ b/docs/articles/cohort_dynamics_and_diffusion_files/typedarray-0.1/typedarray.min.js
@@ -0,0 +1 @@
+(function(global){"use strict";var undefined=void 0;var MAX_ARRAY_LENGTH=1e5;function Type(v){switch(typeof v){case"undefined":return"undefined";case"boolean":return"boolean";case"number":return"number";case"string":return"string";default:return v===null?"null":"object"}}function Class(v){return Object.prototype.toString.call(v).replace(/^\[object *|\]$/g,"")}function IsCallable(o){return typeof o==="function"}function ToObject(v){if(v===null||v===undefined)throw TypeError();return Object(v)}function ToInt32(v){return v>>0}function ToUint32(v){return v>>>0}var LN2=Math.LN2,abs=Math.abs,floor=Math.floor,log=Math.log,max=Math.max,min=Math.min,pow=Math.pow,round=Math.round;(function(){var orig=Object.defineProperty;var dom_only=!function(){try{return Object.defineProperty({},"x",{})}catch(_){return false}}();if(!orig||dom_only){Object.defineProperty=function(o,prop,desc){if(orig)try{return orig(o,prop,desc)}catch(_){}if(o!==Object(o))throw TypeError("Object.defineProperty called on 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packU8Clamped(n){n=round(Number(n));return[n<0?0:n>255?255:n&255]}function packI16(n){return[n>>8&255,n&255]}function unpackI16(bytes){return as_signed(bytes[0]<<8|bytes[1],16)}function packU16(n){return[n>>8&255,n&255]}function unpackU16(bytes){return as_unsigned(bytes[0]<<8|bytes[1],16)}function packI32(n){return[n>>24&255,n>>16&255,n>>8&255,n&255]}function unpackI32(bytes){return as_signed(bytes[0]<<24|bytes[1]<<16|bytes[2]<<8|bytes[3],32)}function packU32(n){return[n>>24&255,n>>16&255,n>>8&255,n&255]}function unpackU32(bytes){return as_unsigned(bytes[0]<<24|bytes[1]<<16|bytes[2]<<8|bytes[3],32)}function packIEEE754(v,ebits,fbits){var bias=(1<<ebits-1)-1,s,e,f,ln,i,bits,str,bytes;function roundToEven(n){var w=floor(n),f=n-w;if(f<.5)return w;if(f>.5)return w+1;return w%2?w+1:w}if(v!==v){e=(1<<ebits)-1;f=pow(2,fbits-1);s=0}else if(v===Infinity||v===-Infinity){e=(1<<ebits)-1;f=0;s=v<0?1:0}else if(v===0){e=0;f=0;s=1/v===-Infinity?1:0}else{s=v<0;v=abs(v);if(v>=pow(2,1-bias)){e=min(floor(log(v)/LN2),1023);f=roundToEven(v/pow(2,e)*pow(2,fbits));if(f/pow(2,fbits)>=2){e=e+1;f=1}if(e>bias){e=(1<<ebits)-1;f=0}else{e=e+bias;f=f-pow(2,fbits)}}else{e=0;f=roundToEven(v/pow(2,1-bias-fbits))}}bits=[];for(i=fbits;i;i-=1){bits.push(f%2?1:0);f=floor(f/2)}for(i=ebits;i;i-=1){bits.push(e%2?1:0);e=floor(e/2)}bits.push(s?1:0);bits.reverse();str=bits.join("");bytes=[];while(str.length){bytes.push(parseInt(str.substring(0,8),2));str=str.substring(8)}return bytes}function unpackIEEE754(bytes,ebits,fbits){var bits=[],i,j,b,str,bias,s,e,f;for(i=bytes.length;i;i-=1){b=bytes[i-1];for(j=8;j;j-=1){bits.push(b%2?1:0);b=b>>1}}bits.reverse();str=bits.join("");bias=(1<<ebits-1)-1;s=parseInt(str.substring(0,1),2)?-1:1;e=parseInt(str.substring(1,1+ebits),2);f=parseInt(str.substring(1+ebits),2);if(e===(1<<ebits)-1){return f!==0?NaN:s*Infinity}else if(e>0){return s*pow(2,e-bias)*(1+f/pow(2,fbits))}else if(f!==0){return s*pow(2,-(bias-1))*(f/pow(2,fbits))}else{return s<0?-0:0}}function unpackF64(b){return unpackIEEE754(b,11,52)}function packF64(v){return packIEEE754(v,11,52)}function unpackF32(b){return unpackIEEE754(b,8,23)}function packF32(v){return packIEEE754(v,8,23)}(function(){function ArrayBuffer(length){length=ToInt32(length);if(length<0)throw RangeError("ArrayBuffer size is not a small enough positive integer.");Object.defineProperty(this,"byteLength",{value:length});Object.defineProperty(this,"_bytes",{value:Array(length)});for(var i=0;i<length;i+=1)this._bytes[i]=0}global.ArrayBuffer=global.ArrayBuffer||ArrayBuffer;function $TypedArray$(){if(!arguments.length||typeof arguments[0]!=="object"){return function(length){length=ToInt32(length);if(length<0)throw RangeError("length is not a small enough positive integer.");Object.defineProperty(this,"length",{value:length});Object.defineProperty(this,"byteLength",{value:length*this.BYTES_PER_ELEMENT});Object.defineProperty(this,"buffer",{value:new ArrayBuffer(this.byteLength)});Object.defineProperty(this,"byteOffset",{value:0})}.apply(this,arguments)}if(arguments.length>=1&&Type(arguments[0])==="object"&&arguments[0]instanceof $TypedArray$){return function(typedArray){if(this.constructor!==typedArray.constructor)throw TypeError();var byteLength=typedArray.length*this.BYTES_PER_ELEMENT;Object.defineProperty(this,"buffer",{value:new ArrayBuffer(byteLength)});Object.defineProperty(this,"byteLength",{value:byteLength});Object.defineProperty(this,"byteOffset",{value:0});Object.defineProperty(this,"length",{value:typedArray.length});for(var i=0;i<this.length;i+=1)this._setter(i,typedArray._getter(i))}.apply(this,arguments)}if(arguments.length>=1&&Type(arguments[0])==="object"&&!(arguments[0]instanceof $TypedArray$)&&!(arguments[0]instanceof ArrayBuffer||Class(arguments[0])==="ArrayBuffer")){return function(array){var byteLength=array.length*this.BYTES_PER_ELEMENT;Object.defineProperty(this,"buffer",{value:new ArrayBuffer(byteLength)});Object.defineProperty(this,"byteLength",{value:byteLength});Object.defineProperty(this,"byteOffset",{value:0});Object.defineProperty(this,"length",{value:array.length});for(var i=0;i<this.length;i+=1){var s=array[i];this._setter(i,Number(s))}}.apply(this,arguments)}if(arguments.length>=1&&Type(arguments[0])==="object"&&(arguments[0]instanceof ArrayBuffer||Class(arguments[0])==="ArrayBuffer")){return function(buffer,byteOffset,length){byteOffset=ToUint32(byteOffset);if(byteOffset>buffer.byteLength)throw RangeError("byteOffset out of range");if(byteOffset%this.BYTES_PER_ELEMENT)throw RangeError("buffer length minus the byteOffset is not a multiple of the element size.");if(length===undefined){var byteLength=buffer.byteLength-byteOffset;if(byteLength%this.BYTES_PER_ELEMENT)throw RangeError("length of buffer minus byteOffset not a multiple of the element size");length=byteLength/this.BYTES_PER_ELEMENT}else{length=ToUint32(length);byteLength=length*this.BYTES_PER_ELEMENT}if(byteOffset+byteLength>buffer.byteLength)throw RangeError("byteOffset and length reference an area beyond the end of the buffer");Object.defineProperty(this,"buffer",{value:buffer});Object.defineProperty(this,"byteLength",{value:byteLength});Object.defineProperty(this,"byteOffset",{value:byteOffset});Object.defineProperty(this,"length",{value:length})}.apply(this,arguments)}throw TypeError()}Object.defineProperty($TypedArray$,"from",{value:function(iterable){return new this(iterable)}});Object.defineProperty($TypedArray$,"of",{value:function(){return new this(arguments)}});var $TypedArrayPrototype$={};$TypedArray$.prototype=$TypedArrayPrototype$;Object.defineProperty($TypedArray$.prototype,"_getter",{value:function(index){if(arguments.length<1)throw SyntaxError("Not enough 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relativeTarget=ToInt32(target);var to;if(relativeTarget<0)to=max(len+relativeTarget,0);else to=min(relativeTarget,len);var relativeStart=ToInt32(start);var from;if(relativeStart<0)from=max(len+relativeStart,0);else from=min(relativeStart,len);var relativeEnd;if(end===undefined)relativeEnd=len;else relativeEnd=ToInt32(end);var final;if(relativeEnd<0)final=max(len+relativeEnd,0);else final=min(relativeEnd,len);var count=min(final-from,len-to);var direction;if(from<to&&to<from+count){direction=-1;from=from+count-1;to=to+count-1}else{direction=1}while(count>0){o._setter(to,o._getter(from));from=from+direction;to=to+direction;count=count-1}return o}});Object.defineProperty($TypedArray$.prototype,"every",{value:function(callbackfn){if(this===undefined||this===null)throw TypeError();var t=Object(this);var len=ToUint32(t.length);if(!IsCallable(callbackfn))throw TypeError();var thisArg=arguments[1];for(var i=0;i<len;i++){if(!callbackfn.call(thisArg,t._getter(i),i,t))return false}return true}});Object.defineProperty($TypedArray$.prototype,"fill",{value:function(value){var start=arguments[1],end=arguments[2];var o=ToObject(this);var lenVal=o.length;var len=ToUint32(lenVal);len=max(len,0);var relativeStart=ToInt32(start);var k;if(relativeStart<0)k=max(len+relativeStart,0);else k=min(relativeStart,len);var relativeEnd;if(end===undefined)relativeEnd=len;else relativeEnd=ToInt32(end);var final;if(relativeEnd<0)final=max(len+relativeEnd,0);else final=min(relativeEnd,len);while(k<final){o._setter(k,value);k+=1}return o}});Object.defineProperty($TypedArray$.prototype,"filter",{value:function(callbackfn){if(this===undefined||this===null)throw TypeError();var t=Object(this);var len=ToUint32(t.length);if(!IsCallable(callbackfn))throw TypeError();var res=[];var thisp=arguments[1];for(var i=0;i<len;i++){var val=t._getter(i);if(callbackfn.call(thisp,val,i,t))res.push(val)}return new this.constructor(res)}});Object.defineProperty($TypedArray$.prototype,"find",{value:function(predicate){var o=ToObject(this);var lenValue=o.length;var len=ToUint32(lenValue);if(!IsCallable(predicate))throw TypeError();var t=arguments.length>1?arguments[1]:undefined;var k=0;while(k<len){var kValue=o._getter(k);var testResult=predicate.call(t,kValue,k,o);if(Boolean(testResult))return kValue;++k}return undefined}});Object.defineProperty($TypedArray$.prototype,"findIndex",{value:function(predicate){var o=ToObject(this);var lenValue=o.length;var len=ToUint32(lenValue);if(!IsCallable(predicate))throw TypeError();var t=arguments.length>1?arguments[1]:undefined;var k=0;while(k<len){var kValue=o._getter(k);var testResult=predicate.call(t,kValue,k,o);if(Boolean(testResult))return k;++k}return-1}});Object.defineProperty($TypedArray$.prototype,"forEach",{value:function(callbackfn){if(this===undefined||this===null)throw TypeError();var t=Object(this);var len=ToUint32(t.length);if(!IsCallable(callbackfn))throw TypeError();var thisp=arguments[1];for(var i=0;i<len;i++)callbackfn.call(thisp,t._getter(i),i,t)}});Object.defineProperty($TypedArray$.prototype,"indexOf",{value:function(searchElement){if(this===undefined||this===null)throw TypeError();var t=Object(this);var len=ToUint32(t.length);if(len===0)return-1;var n=0;if(arguments.length>0){n=Number(arguments[1]);if(n!==n){n=0}else if(n!==0&&n!==1/0&&n!==-(1/0)){n=(n>0||-1)*floor(abs(n))}}if(n>=len)return-1;var k=n>=0?n:max(len-abs(n),0);for(;k<len;k++){if(t._getter(k)===searchElement){return k}}return-1}});Object.defineProperty($TypedArray$.prototype,"join",{value:function(separator){if(this===undefined||this===null)throw TypeError();var t=Object(this);var len=ToUint32(t.length);var tmp=Array(len);for(var i=0;i<len;++i)tmp[i]=t._getter(i);return tmp.join(separator===undefined?",":separator)}});Object.defineProperty($TypedArray$.prototype,"lastIndexOf",{value:function(searchElement){if(this===undefined||this===null)throw TypeError();var t=Object(this);var len=ToUint32(t.length);if(len===0)return-1;var n=len;if(arguments.length>1){n=Number(arguments[1]);if(n!==n){n=0}else if(n!==0&&n!==1/0&&n!==-(1/0)){n=(n>0||-1)*floor(abs(n))}}var k=n>=0?min(n,len-1):len-abs(n);for(;k>=0;k--){if(t._getter(k)===searchElement)return k}return-1}});Object.defineProperty($TypedArray$.prototype,"map",{value:function(callbackfn){if(this===undefined||this===null)throw TypeError();var t=Object(this);var len=ToUint32(t.length);if(!IsCallable(callbackfn))throw TypeError();var res=[];res.length=len;var thisp=arguments[1];for(var i=0;i<len;i++)res[i]=callbackfn.call(thisp,t._getter(i),i,t);return new this.constructor(res)}});Object.defineProperty($TypedArray$.prototype,"reduce",{value:function(callbackfn){if(this===undefined||this===null)throw TypeError();var t=Object(this);var len=ToUint32(t.length);if(!IsCallable(callbackfn))throw TypeError();if(len===0&&arguments.length===1)throw TypeError();var k=0;var accumulator;if(arguments.length>=2){accumulator=arguments[1]}else{accumulator=t._getter(k++)}while(k<len){accumulator=callbackfn.call(undefined,accumulator,t._getter(k),k,t);k++}return accumulator}});Object.defineProperty($TypedArray$.prototype,"reduceRight",{value:function(callbackfn){if(this===undefined||this===null)throw TypeError();var t=Object(this);var len=ToUint32(t.length);if(!IsCallable(callbackfn))throw TypeError();if(len===0&&arguments.length===1)throw TypeError();var k=len-1;var accumulator;if(arguments.length>=2){accumulator=arguments[1]}else{accumulator=t._getter(k--)}while(k>=0){accumulator=callbackfn.call(undefined,accumulator,t._getter(k),k,t);k--}return accumulator}});Object.defineProperty($TypedArray$.prototype,"reverse",{value:function(){if(this===undefined||this===null)throw TypeError();var t=Object(this);var len=ToUint32(t.length);var half=floor(len/2);for(var i=0,j=len-1;i<half;++i,--j){var tmp=t._getter(i);t._setter(i,t._getter(j));t._setter(j,tmp)}return t}});Object.defineProperty($TypedArray$.prototype,"set",{value:function(index,value){if(arguments.length<1)throw SyntaxError("Not enough arguments");var array,sequence,offset,len,i,s,d,byteOffset,byteLength,tmp;if(typeof arguments[0]==="object"&&arguments[0].constructor===this.constructor){array=arguments[0];offset=ToUint32(arguments[1]);if(offset+array.length>this.length){throw RangeError("Offset plus length of array is out of 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k=relativeStart<0?max(len+relativeStart,0):min(relativeStart,len);var relativeEnd=end===undefined?len:ToInt32(end);var final=relativeEnd<0?max(len+relativeEnd,0):min(relativeEnd,len);var count=final-k;var c=o.constructor;var a=new c(count);var n=0;while(k<final){var kValue=o._getter(k);a._setter(n,kValue);++k;++n}return a}});Object.defineProperty($TypedArray$.prototype,"some",{value:function(callbackfn){if(this===undefined||this===null)throw TypeError();var t=Object(this);var len=ToUint32(t.length);if(!IsCallable(callbackfn))throw TypeError();var thisp=arguments[1];for(var i=0;i<len;i++){if(callbackfn.call(thisp,t._getter(i),i,t)){return true}}return false}});Object.defineProperty($TypedArray$.prototype,"sort",{value:function(comparefn){if(this===undefined||this===null)throw TypeError();var t=Object(this);var len=ToUint32(t.length);var tmp=Array(len);for(var i=0;i<len;++i)tmp[i]=t._getter(i);if(comparefn)tmp.sort(comparefn);else tmp.sort();for(i=0;i<len;++i)t._setter(i,tmp[i]);return 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TypedArrayPrototype;Object.defineProperty(TypedArray.prototype,"BYTES_PER_ELEMENT",{value:elementSize});Object.defineProperty(TypedArray.prototype,"_pack",{value:pack});Object.defineProperty(TypedArray.prototype,"_unpack",{value:unpack});return TypedArray}var Int8Array=makeTypedArray(1,packI8,unpackI8);var Uint8Array=makeTypedArray(1,packU8,unpackU8);var Uint8ClampedArray=makeTypedArray(1,packU8Clamped,unpackU8);var Int16Array=makeTypedArray(2,packI16,unpackI16);var Uint16Array=makeTypedArray(2,packU16,unpackU16);var Int32Array=makeTypedArray(4,packI32,unpackI32);var Uint32Array=makeTypedArray(4,packU32,unpackU32);var Float32Array=makeTypedArray(4,packF32,unpackF32);var 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Uint8Array(typeArray.buffer),bytes=[],i,byteView;for(i=0;i<arrayType.BYTES_PER_ELEMENT;i+=1)bytes.push(r(byteArray,i));if(Boolean(littleEndian)===Boolean(IS_BIG_ENDIAN))bytes.reverse();byteView=new Uint8Array(this.buffer,byteOffset,arrayType.BYTES_PER_ELEMENT);byteView.set(bytes)}}Object.defineProperty(DataView.prototype,"setUint8",{value:makeSetter(Uint8Array)});Object.defineProperty(DataView.prototype,"setInt8",{value:makeSetter(Int8Array)});Object.defineProperty(DataView.prototype,"setUint16",{value:makeSetter(Uint16Array)});Object.defineProperty(DataView.prototype,"setInt16",{value:makeSetter(Int16Array)});Object.defineProperty(DataView.prototype,"setUint32",{value:makeSetter(Uint32Array)});Object.defineProperty(DataView.prototype,"setInt32",{value:makeSetter(Int32Array)});Object.defineProperty(DataView.prototype,"setFloat32",{value:makeSetter(Float32Array)});Object.defineProperty(DataView.prototype,"setFloat64",{value:makeSetter(Float64Array)});global.DataView=global.DataView||DataView})()})(this);
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diff --git a/docs/articles/community_model.html b/docs/articles/community_model.html
index 8481d0cec..6eb336fc9 100644
--- a/docs/articles/community_model.html
+++ b/docs/articles/community_model.html
@@ -17,7 +17,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
 <link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
 <script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet">
 <link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet">
@@ -31,7 +31,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -54,13 +54,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -73,6 +81,7 @@
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
       </ul>
 <ul class="navbar-nav">
+<li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
 <li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json">
 </form></li>
@@ -172,6 +181,9 @@ <h2 id="sec:set_up_comm_model">Setting up a community model<a class="anchor" ari
 <div class="sourceCode" id="cb4"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/base/summary.html" class="external-link">summary</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span></span></code></pre></div>
 <pre><code><span><span class="co">## An object of class "MizerParams" </span></span>
+<span><span class="co">## mizer version: 2.5.4.9125</span></span>
+<span><span class="co">## Created: 2026-05-07 18:47:21</span></span>
+<span><span class="co">## Modified: 2026-05-07 18:47:21</span></span>
 <span><span class="co">## Consumer size spectrum:</span></span>
 <span><span class="co">##  minimum size:   0.001</span></span>
 <span><span class="co">##  maximum size:   1e+06</span></span>
@@ -238,12 +250,12 @@ <h2 id="sec:running_comm_model">Running the community model<a class="anchor" ari
 using a range of plots and analyses. These are described fully in <a href="exploring_the_simulation_results.html">the section on exploring
 the simulation results.</a></p>
 <p>To quickly look at the results of the projection you can call the
-<code><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot()</a></code> method. This plots the feeding level, predation
+<code><a href="../reference/plot.html">plot()</a></code> method. This plots the feeding level, predation
 mortality, fishing mortality and abundance by size in the last time step
 of the simulation, and the total biomass through time. Each of the plots
 can be shown individually if desired.</p>
 <div class="sourceCode" id="cb9"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">sim</span><span class="op">)</span></span></code></pre></div>
+<code class="sourceCode R"><span><span class="fu"><a href="../reference/plot.html">plot</a></span><span class="op">(</span><span class="va">sim</span><span class="op">)</span></span></code></pre></div>
 <p><img src="community_model_files/figure-html/print_plot_comm_sim-1.png" class="r-plt" alt="The plot shows the results of the community model projection. The top panel shows the total biomass of the community through time. The other panels show the feeding level, predation mortality, fishing mortality and abundance by size in the last time step of the simulation." width="700"></p>
 <p>In the above plot there are several things going on that are worth
 talking about. Looking at the total biomass of the community against
@@ -303,7 +315,7 @@ <h2 id="sec:running_comm_model">Running the community model<a class="anchor" ari
 how the predation mortality declines to almost zero for the largest
 sizes.</p>
 <div class="sourceCode" id="cb14"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span>x <span class="op">=</span> <span class="fu"><a href="../reference/w.html">w</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span>, y <span class="op">=</span> <span class="va">pred_mort_final</span>, log <span class="op">=</span> <span class="st">"xy"</span>, type <span class="op">=</span> <span class="st">"l"</span>, </span>
+<code class="sourceCode R"><span><span class="fu"><a href="../reference/plot.html">plot</a></span><span class="op">(</span>x <span class="op">=</span> <span class="fu"><a href="../reference/w.html">w</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span>, y <span class="op">=</span> <span class="va">pred_mort_final</span>, log <span class="op">=</span> <span class="st">"xy"</span>, type <span class="op">=</span> <span class="st">"l"</span>, </span>
 <span>     xlab <span class="op">=</span> <span class="st">"Size [g]"</span>, ylab <span class="op">=</span> <span class="st">"Predation mortality [1/year]"</span><span class="op">)</span></span></code></pre></div>
 <p><img src="community_model_files/figure-html/print_plot_comm_m2-1.png" class="r-plt" alt="The plot shows the predation mortality at size in the final time step of the community model projection. The x-axis is on a log scale. The predation mortality declines to almost zero for the largest sizes." width="700"></p>
 <p>Note how we used <code>w(sim)</code> to get the vector of sizes to
@@ -353,12 +365,12 @@ <h2 id="sec:trophic_cascade_comm_model">Example of a trophic cascade with the co
 <div class="sourceCode" id="cb19"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="va">sim1</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/project.html">project</a></span><span class="op">(</span><span class="va">params_knife</span>, effort <span class="op">=</span> <span class="fl">1</span>, t_max <span class="op">=</span> <span class="fl">50</span><span class="op">)</span></span></code></pre></div>
 <p>You can compare the difference between these scenarios by using the
-<code><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot()</a></code> method as before. Of particular interest is the
+<code><a href="../reference/plot.html">plot()</a></code> method as before. Of particular interest is the
 fishing mortality at size. The knife-edge selectivity at 1000 g can be
 clearly seen and an effort of 1 has resulted in a fishing mortality of 1
 for the fully selected sizes.</p>
 <div class="sourceCode" id="cb20"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">sim1</span>, power <span class="op">=</span> <span class="fl">2</span><span class="op">)</span></span></code></pre></div>
+<code class="sourceCode R"><span><span class="fu"><a href="../reference/plot.html">plot</a></span><span class="op">(</span><span class="va">sim1</span>, power <span class="op">=</span> <span class="fl">2</span><span class="op">)</span></span></code></pre></div>
 <p><img src="community_model_files/figure-html/print_plot_comm_fmort-1.png" class="r-plt" alt="A summary plot of the simulation with fishing." width="700"></p>
 <p>To explore the presence of a trophic cascade, we are interested in
 looking at the relative change in abundance when the community is fished
@@ -382,7 +394,7 @@ <h2 id="sec:trophic_cascade_comm_model">Example of a trophic cascade with the co
 <code class="sourceCode R"><span><span class="va">relative_abundance</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/finalN.html">finalN</a></span><span class="op">(</span><span class="va">sim1</span><span class="op">)</span> <span class="op">/</span> <span class="fu"><a href="../reference/finalN.html">finalN</a></span><span class="op">(</span><span class="va">sim0</span><span class="op">)</span></span></code></pre></div>
 <p>This can then be plotted using basic R plotting commands.</p>
 <div class="sourceCode" id="cb25"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span>x <span class="op">=</span> <span class="fu"><a href="../reference/w.html">w</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span>, y <span class="op">=</span> <span class="va">relative_abundance</span>, log <span class="op">=</span> <span class="st">"x"</span>, type <span class="op">=</span> <span class="st">"n"</span>,</span>
+<code class="sourceCode R"><span><span class="fu"><a href="../reference/plot.html">plot</a></span><span class="op">(</span>x <span class="op">=</span> <span class="fu"><a href="../reference/w.html">w</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span>, y <span class="op">=</span> <span class="va">relative_abundance</span>, log <span class="op">=</span> <span class="st">"x"</span>, type <span class="op">=</span> <span class="st">"n"</span>,</span>
 <span>    xlab <span class="op">=</span> <span class="st">"Size (g)"</span>, ylab <span class="op">=</span> <span class="st">"Relative abundance"</span><span class="op">)</span></span>
 <span><span class="fu"><a href="https://rdrr.io/r/graphics/lines.html" class="external-link">lines</a></span><span class="op">(</span>x <span class="op">=</span> <span class="fu"><a href="../reference/w.html">w</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span>, y <span class="op">=</span> <span class="va">relative_abundance</span><span class="op">)</span></span>
 <span><span class="fu"><a href="https://rdrr.io/r/graphics/lines.html" class="external-link">lines</a></span><span class="op">(</span>x <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/Extremes.html" class="external-link">min</a></span><span class="op">(</span><span class="fu"><a href="../reference/w.html">w</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span><span class="op">)</span>, <span class="fu"><a href="https://rdrr.io/r/base/Extremes.html" class="external-link">max</a></span><span class="op">(</span><span class="fu"><a href="../reference/w.html">w</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span><span class="op">)</span><span class="op">)</span>, y <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">1</span>, <span class="fl">1</span><span class="op">)</span>, lty <span class="op">=</span> <span class="fl">2</span><span class="op">)</span></span></code></pre></div>
diff --git a/docs/articles/community_model_files/figure-html/print_plot_comm_fmort-1.png b/docs/articles/community_model_files/figure-html/print_plot_comm_fmort-1.png
index d44621950..2c1b3996a 100644
Binary files a/docs/articles/community_model_files/figure-html/print_plot_comm_fmort-1.png and b/docs/articles/community_model_files/figure-html/print_plot_comm_fmort-1.png differ
diff --git a/docs/articles/community_model_files/figure-html/print_plot_comm_sim-1.png b/docs/articles/community_model_files/figure-html/print_plot_comm_sim-1.png
index c28705b84..1c1a5f7c4 100644
Binary files a/docs/articles/community_model_files/figure-html/print_plot_comm_sim-1.png and b/docs/articles/community_model_files/figure-html/print_plot_comm_sim-1.png differ
diff --git a/docs/articles/developer_FAQ.html b/docs/articles/developer_FAQ.html
index 65a036c0b..16cb56d6f 100644
--- a/docs/articles/developer_FAQ.html
+++ b/docs/articles/developer_FAQ.html
@@ -17,7 +17,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
 <link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
 <script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet">
 <link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet">
@@ -31,7 +31,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -54,13 +54,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -73,6 +81,7 @@
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
       </ul>
 <ul class="navbar-nav">
+<li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
 <li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json">
 </form></li>
@@ -171,7 +180,9 @@
 “Switch branch” dropdown in RStudio Git panel and then click the button
 to the left of that dropdown.
 <center>
-<img src="images/new_branch_button.png" style="width:30.0%">
+<div class="float">
+<img src="images/new_branch_button.png" style="width:30.0%" alt="New branch button"><div class="figcaption">New branch button</div>
+</div>
 </center>
 </li>
 </ol>
diff --git a/docs/articles/developer_vignette.html b/docs/articles/developer_vignette.html
index 7de3319e6..c6803249c 100644
--- a/docs/articles/developer_vignette.html
+++ b/docs/articles/developer_vignette.html
@@ -17,7 +17,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
 <link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
 <script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet">
 <link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet">
@@ -31,7 +31,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -54,13 +54,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -73,6 +81,7 @@
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
       </ul>
 <ul class="navbar-nav">
+<li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
 <li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json">
 </form></li>
@@ -137,7 +146,7 @@ <h3 id="installing-r-rstudio-and-git">Installing R, RStudio and Git<a class="anc
 <p>Mizer is compatible with <strong>R</strong> versions 3.1 and later.
 If you still need to <a href="https://cran.r-project.org/" class="external-link">install
 R</a>, simply install the latest version. This guide was prepared with R
-version 4.5.2 (2025-10-31).</p>
+version 4.6.0 (2026-04-24).</p>
 <p>This guide assumes that you will be using <strong>RStudio</strong> to
 work with R. There is really no reason not to use RStudio and it makes a
 lot of things much easier. RStudio develops rapidly and adds useful
@@ -161,7 +170,9 @@ <h3 id="forking-mizer-from-github">Forking mizer from GitHub<a class="anchor" ar
 copy of the mizer code. Go to <a href="https://github.com/sizespectrum/mizer" class="external-link uri">https://github.com/sizespectrum/mizer</a> and fork it into
 your own repository by clicking the “Fork” button.</p>
 <center>
-<img src="images/fork.png" style="width:80.0%">
+<div class="float">
+<img src="images/fork.png" style="width:80.0%" alt="Fork button on GitHub"><div class="figcaption">Fork button on GitHub</div>
+</div>
 </center>
 <p>You will be prompted to log in to GitHub. If you do not yet have an
 account, you need to create one for yourself.</p>
@@ -170,23 +181,33 @@ <h3 id="forking-mizer-from-github">Forking mizer from GitHub<a class="anchor" ar
 RStudio. For this you click on the “Project” drop-down and then select
 “New Project…”.</p>
 <center>
-<img src="images/new_project.png" style="width:80.0%">
+<div class="float">
+<img src="images/new_project.png" style="width:80.0%" alt="New Project menu in RStudio"><div class="figcaption">New Project menu in RStudio</div>
+</div>
 </center>
 This will bring up a dialog box where you select “Version Control”.
 <center>
-<img src="images/version_control.png" style="width:50.0%">
+<div class="float">
+<img src="images/version_control.png" style="width:50.0%" alt="Version Control option in New Project wizard"><div class="figcaption">Version Control option in New Project
+wizard</div>
+</div>
 </center>
 <p>Provided you have Git installed and RStudio was able to find it you
 can then choose “Git” on the next dialog box.</p>
 <center>
-<img src="images/git.png" style="width:50.0%">
+<div class="float">
+<img src="images/git.png" style="width:50.0%" alt="Git option in New Project wizard"><div class="figcaption">Git option in New Project wizard</div>
+</div>
 </center>
 <p>If the Git option is not showing, the you need to troubleshoot, and
 perhaps <a href="https://happygitwithr.com/rstudio-see-git.html" class="external-link uri">https://happygitwithr.com/rstudio-see-git.html</a>
 helps.</p>
 In the next dialog box you let RStudio know where to find your fork.
 <center>
-<img src="images/repository.png" style="width:50.0%">
+<div class="float">
+<img src="images/repository.png" style="width:50.0%" alt="Repository configuration in New Project wizard"><div class="figcaption">Repository configuration in New Project
+wizard</div>
+</div>
 </center>
 To find the correct repository URL you go back to GitHub to the front
 page of the repository that was created when you forked the official
@@ -195,7 +216,9 @@ <h3 id="forking-mizer-from-github">Forking mizer from GitHub<a class="anchor" ar
 the page of your fork of the repository. The URL should contain your
 GitHub username.
 <center>
-<img src="images/repro_url.png" style="width:80.0%">
+<div class="float">
+<img src="images/repro_url.png" style="width:80.0%" alt="Clone or download button on GitHub"><div class="figcaption">Clone or download button on GitHub</div>
+</div>
 </center>
 <p>You can copy that to the clipboard by pressing the button next to the
 URL and then paste it back into the RStudio dialog box. In that dialog
@@ -217,24 +240,32 @@ <h3 id="setting-up-rstudio-developer-tools">Setting up RStudio developer tools<a
 <p>To set things up, click on Build -&gt; More -&gt; Configure Build
 Tools.</p>
 <center>
-<img src="images/build_tools.png">
+<div class="float">
+<img src="images/build_tools.png" alt="Configure Build Tools menu"><div class="figcaption">Configure Build Tools menu</div>
+</div>
 </center>
 <p>In the resulting dialog box, tick the checkboxes “Use devtools
 package functions if available” and “Generate documentation with
 roxygen” and then click on “Configure”.</p>
 <center>
-<img src="images/roxygen.png" style="width:50.0%">
+<div class="float">
+<img src="images/roxygen.png" style="width:50.0%" alt="Roxygen configuration in Project Options"><div class="figcaption">Roxygen configuration in Project Options</div>
+</div>
 </center>
 <p>This will open another dialog box where you tick “Install and
 Restart”.</p>
 <center>
-<img src="images/tick.png" style="width:40.0%">
+<div class="float">
+<img src="images/tick.png" style="width:40.0%" alt="Install and Restart checkbox"><div class="figcaption">Install and Restart checkbox</div>
+</div>
 </center>
 <p>Hit “OK”. While you are on the Project Options dialog box, click on
 “Code Editing” and then check “Insert spaces for tabs” and set “Tab
 width” to 4, because that is the convention the mizer code follows.</p>
 <center>
-<img src="images/tabs.png" style="width:50.0%">
+<div class="float">
+<img src="images/tabs.png" style="width:50.0%" alt="Tab width configuration in Code Editing"><div class="figcaption">Tab width configuration in Code Editing</div>
+</div>
 </center>
 </div>
 <div class="section level3">
@@ -252,7 +283,7 @@ <h3 id="installing-mizer">Installing mizer<a class="anchor" aria-label="anchor"
 <p>You are now ready to install the mizer package using the development
 code from GitHub. First you should do this with the command</p>
 <div class="sourceCode" id="cb2"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span><span class="fu">devtools</span><span class="fu">::</span><span class="fu"><a href="https://remotes.r-lib.org/reference/install_github.html" class="external-link">install_github</a></span><span class="op">(</span><span class="st">"sizespectrum/mizer"</span><span class="op">)</span></span></code></pre></div>
+<code class="sourceCode R"><span><span class="fu">devtools</span><span class="fu">::</span><span class="fu"><a href="https://devtools.r-lib.org/reference/install-deprecated.html" class="external-link">install_github</a></span><span class="op">(</span><span class="st">"sizespectrum/mizer"</span><span class="op">)</span></span></code></pre></div>
 This will automatically also install all the other packages that mizer
 depends on. However this uses the version of the code in the official
 mizer repository on GitHub, not your local copy of the code. Once you
@@ -261,7 +292,9 @@ <h3 id="installing-mizer">Installing mizer<a class="anchor" aria-label="anchor"
 on “Install and Restart” or alternatively use the keyboard shortcut
 Ctrl+Shift+B.
 <center>
-<img src="images/build.png">
+<div class="float">
+<img src="images/build.png" alt="Install and Restart button in Build tab"><div class="figcaption">Install and Restart button in Build tab</div>
+</div>
 </center>
 <p>You can watch the progress in the “Build” tab. Once the build has
 completed, you will see that in the console RStudio automatically
@@ -359,6 +392,28 @@ <h2 id="finding-your-way-around-the-mizer-code">Finding your way around the mize
 using S4 methods. In the presentation below we assume that the
 <code>MizerParams</code> object is called <code>params</code> and the
 <code>MizerSim</code> object is called <code>sim</code>.</p>
+<p>Although <code>MizerParams</code> and <code>MizerSim</code> are S4
+classes, mizer registers all their methods as S3 methods rather than S4
+methods. For example, the summary plot for a <code>MizerParams</code>
+object is defined as <code><a href="../reference/plotMizerParams.html">plot.MizerParams()</a></code> and registered with
+<code>S3method(plot, MizerParams)</code> in the NAMESPACE, not via
+<code>setMethod("plot", "MizerParams", ...)</code>. This works because
+S3 dispatch reads the <code><a href="https://rdrr.io/r/base/class.html" class="external-link">class()</a></code> attribute of an object, which
+S4 objects have, so <code>plot(params)</code> correctly finds
+<code><a href="../reference/plotMizerParams.html">plot.MizerParams()</a></code>.</p>
+<p>The reason for preferring S3 is that calling <code>setMethod()</code>
+on a function that is not already an S4 generic silently promotes it to
+one, changing dispatch semantics package-wide. For instance, if mizer
+used <code>setMethod("plot", ...)</code>, then <code>plot</code> would
+become an S4 generic for all code running in the same R session. This
+can cause hard-to-diagnose failures when <code><a href="../reference/plot.html">plot()</a></code> is called
+with objects of mixed S3/S4 types, because S4 dispatch requires an exact
+method match on all arguments rather than falling back gracefully to S3
+methods.</p>
+<p>In short: use S3 methods (named <code>generic.ClassName</code>) for
+<code>MizerParams</code> and <code>MizerSim</code>, and avoid
+<code>setMethod()</code> unless you are extending a generic that is
+already S4 in a dependency.</p>
 <div class="section level3">
 <h3 id="the-mizerparams-class">The MizerParams class<a class="anchor" aria-label="anchor" href="#the-mizerparams-class"></a>
 </h3>
@@ -396,6 +451,86 @@ <h4 id="adding-a-new-slot">Adding a new slot<a class="anchor" aria-label="anchor
 -->
 </div>
 </div>
+<div class="section level3">
+<h3 id="the-arrayspeciesbysize-class">The ArraySpeciesBySize class<a class="anchor" aria-label="anchor" href="#the-arrayspeciesbysize-class"></a>
+</h3>
+<p>Many functions in mizer — <code><a href="../reference/getEncounter.html">getEncounter()</a></code>,
+<code><a href="../reference/getFeedingLevel.html">getFeedingLevel()</a></code>, <code><a href="../reference/getPredMort.html">getPredMort()</a></code>,
+<code><a href="../reference/getMort.html">getMort()</a></code>, <code><a href="../reference/getEReproAndGrowth.html">getEReproAndGrowth()</a></code>,
+<code><a href="../reference/getERepro.html">getERepro()</a></code>, <code><a href="../reference/getEGrowth.html">getEGrowth()</a></code>,
+<code><a href="../reference/getFMort.html">getFMort()</a></code>, <code><a href="../reference/getFlux.html">getFlux()</a></code>, and
+<code><a href="../reference/getCriticalFeedingLevel.html">getCriticalFeedingLevel()</a></code> — return an
+<code>ArraySpeciesBySize</code> object. This is a lightweight S3 class
+that wraps a species × size matrix and attaches two extra
+attributes:</p>
+<ul>
+<li>
+<code>value_name</code>: a human-readable label
+(e.g. <code>"Encounter rate"</code>).</li>
+<li>
+<code>units</code>: the physical units of the rate
+(e.g. <code>"g/year"</code> or <code>"1/year"</code>).</li>
+</ul>
+<div class="section level4">
+<h4 id="behaviour">Behaviour<a class="anchor" aria-label="anchor" href="#behaviour"></a>
+</h4>
+<p>An <code>ArraySpeciesBySize</code> object behaves exactly like a
+regular matrix for subsetting and arithmetic. Subsetting with
+<code>[</code> preserves the class as long as the result is still a 2-D
+matrix; arithmetic operators (via <code>Ops.ArraySpeciesBySize</code>)
+strip the class and return a plain matrix. This means you can use
+<code>ArraySpeciesBySize</code> objects transparently in calculations
+without worrying about attribute contamination.</p>
+<div class="sourceCode" id="cb4"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">enc</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/getEncounter.html">getEncounter</a></span><span class="op">(</span><span class="va">NS_params</span><span class="op">)</span></span>
+<span><span class="fu"><a href="../reference/is.ArraySpeciesBySize.html">is.ArraySpeciesBySize</a></span><span class="op">(</span><span class="va">enc</span><span class="op">)</span>       <span class="co"># TRUE</span></span>
+<span><span class="va">enc</span><span class="op">[</span><span class="st">"Cod"</span>, <span class="st">"100"</span><span class="op">]</span>       <span class="co"># still a ArraySpeciesBySize</span></span>
+<span><span class="va">enc</span> <span class="op">*</span> <span class="fl">2</span>                 <span class="co"># plain matrix — class is stripped by Ops.ArraySpeciesBySize</span></span></code></pre></div>
+</div>
+<div class="section level4">
+<h4 id="enhanced-output-methods">Enhanced output methods<a class="anchor" aria-label="anchor" href="#enhanced-output-methods"></a>
+</h4>
+<p><code>ArraySpeciesBySize</code> provides <code><a href="https://rdrr.io/r/base/print.html" class="external-link">print()</a></code>,
+<code><a href="https://rdrr.io/r/base/summary.html" class="external-link">summary()</a></code>, <code><a href="../reference/plot.html">plot()</a></code>, and
+<code><a href="https://rdrr.io/r/base/as.data.frame.html" class="external-link">as.data.frame()</a></code> methods designed for quick inspection of
+rate arrays:</p>
+<div class="sourceCode" id="cb5"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">enc</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/getEncounter.html">getEncounter</a></span><span class="op">(</span><span class="va">NS_params</span><span class="op">)</span></span>
+<span><span class="fu"><a href="https://rdrr.io/r/base/print.html" class="external-link">print</a></span><span class="op">(</span><span class="va">enc</span><span class="op">)</span>              <span class="co"># one-line min/mean/max per species</span></span>
+<span><span class="fu"><a href="https://rdrr.io/r/base/summary.html" class="external-link">summary</a></span><span class="op">(</span><span class="va">enc</span><span class="op">)</span>            <span class="co"># tabular summary per species</span></span>
+<span><span class="fu"><a href="../reference/plot.html">plot</a></span><span class="op">(</span><span class="va">enc</span>, <span class="va">NS_params</span><span class="op">)</span>    <span class="co"># line plot vs. size, coloured by species</span></span>
+<span><span class="fu"><a href="https://rdrr.io/r/base/as.data.frame.html" class="external-link">as.data.frame</a></span><span class="op">(</span><span class="va">enc</span><span class="op">)</span>      <span class="co"># long-format data frame with columns w, value, Species</span></span></code></pre></div>
+<p>The <code><a href="../reference/plot.html">plot()</a></code> method accepts a <code>params</code> argument
+so it can use the species colours and linetypes stored in the
+<code>MizerParams</code> object, and it restricts each species’ curve to
+its natural size range (<code>w_min</code> to <code>w_max</code>) unless
+<code>all.sizes = TRUE</code>.</p>
+</div>
+<div class="section level4">
+<h4 id="wrapping-your-own-rate-functions">Wrapping your own rate functions<a class="anchor" aria-label="anchor" href="#wrapping-your-own-rate-functions"></a>
+</h4>
+<p>If you write a custom rate function that replaces one of the built-in
+<code>mizer*</code> functions (see <code><a href="../reference/setRateFunction.html">?setRateFunction</a></code>), you
+do <strong>not</strong> need to return an
+<code>ArraySpeciesBySize</code>: the <code>get*</code> wrapper that
+calls your function is responsible for wrapping the result. Your
+function should return a plain numeric matrix with the correct
+dimensions (species × size) and dimnames.</p>
+<p>If you write a new standalone rate function that is meant to be
+called directly by users, you may want to wrap its result yourself:</p>
+<div class="sourceCode" id="cb6"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">myRateFunction</span> <span class="op">&lt;-</span> <span class="kw">function</span><span class="op">(</span><span class="va">params</span>, <span class="va">...</span><span class="op">)</span> <span class="op">{</span></span>
+<span>    <span class="va">result</span> <span class="op">&lt;-</span> <span class="co"># ... compute a species x size matrix ...</span></span>
+<span>    <span class="fu"><a href="../reference/ArraySpeciesBySize.html">ArraySpeciesBySize</a></span><span class="op">(</span><span class="va">result</span>, value_name <span class="op">=</span> <span class="st">"My rate"</span>, units <span class="op">=</span> <span class="st">"1/year"</span>, params <span class="op">=</span> <span class="va">params</span><span class="op">)</span></span>
+<span><span class="op">}</span></span></code></pre></div>
+<p>The <code>params</code> argument to <code><a href="../reference/ArraySpeciesBySize.html">ArraySpeciesBySize()</a></code>
+is used only to copy <code>dimnames</code> from
+<code>params@metab</code> onto the result, so that species names and
+size labels are set consistently.</p>
+<p>You can test whether an object is an <code>ArraySpeciesBySize</code>
+with <code><a href="../reference/is.ArraySpeciesBySize.html">is.ArraySpeciesBySize()</a></code>.</p>
+</div>
+</div>
 </div>
 <div class="section level2">
 <h2 id="condition-handling-system">Condition handling system<a class="anchor" aria-label="anchor" href="#condition-handling-system"></a>
@@ -406,46 +541,139 @@ <h2 id="condition-handling-system">Condition handling system<a class="anchor" ar
 for <code>signal()</code> and <code><a href="https://rdrr.io/r/base/conditions.html" class="external-link">withCallingHandlers()</a></code> to find
 those places.</p>
 <div class="section level3">
-<h3 id="framework-for-informing-users-about-defaults">Framework for informing users about defaults<a class="anchor" aria-label="anchor" href="#framework-for-informing-users-about-defaults"></a>
+<h3 id="signal-handling-in-mizer">Signal Handling in mizer<a class="anchor" aria-label="anchor" href="#signal-handling-in-mizer"></a>
 </h3>
-<p>Mizer’s strength is that it can choose default values for most
-parameters, so that the user needs to supply only very limited
-information to create a viable MizerParams object. The downside of that
-is that the user may rely on this too much and may not have enough
-information about the quality of the defaults.</p>
-<p>Currently mizer issues some messages to the user when it calculates
-defaults. But this is minimal in order not to overload the user who does
-not need the extra information.</p>
-<p>I would like the functions that calculate defaults to issue
-information freely, and the wrapper functions around these to decide
-what of this information should be shown to the user. Functions like
-<code><a href="../reference/newMultispeciesParams.html">newMultispeciesParams()</a></code> could get an extra
-<code>info_level</code> argument that allows the user to control the
-amount of information shown.</p>
-<p>There will be a function to signal information:</p>
-<pre><code><span><span class="va">info_about_default</span> <span class="op">&lt;-</span> <span class="kw">function</span><span class="op">(</span><span class="va">message</span>, <span class="va">var</span>, <span class="va">level</span><span class="op">)</span> <span class="op">{</span></span>
-<span>    <span class="fu">signal</span><span class="op">(</span><span class="va">message</span>, class <span class="op">=</span> <span class="st">"info_about_default"</span>, var <span class="op">=</span> <span class="va">var</span>, level <span class="op">=</span> <span class="va">level</span><span class="op">)</span></span>
-<span><span class="op">}</span></span></code></pre>
-<p>and functions like <code><a href="../reference/newMultispeciesParams.html">newMultispeciesParams()</a></code> will get
-extra code like the following:</p>
-<pre><code><span><span class="co"># Define a signal handler that collects the information signals</span></span>
-<span><span class="co"># into the `infos` list.</span></span>
-<span><span class="va">infos</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="op">)</span></span>
+<p>Mizer uses the <code><a href="https://rlang.r-lib.org/reference/abort.html" class="external-link">rlang::signal()</a></code> function to generate
+information messages that can be controlled by the user via the
+<code>info_level</code> argument. This system allows for different
+levels of verbosity without cluttering the console with warnings or
+standard messages that cannot be easily suppressed or filtered.</p>
+<div class="section level4">
+<h4 id="the-info_level-argument">The <code>info_level</code> Argument<a class="anchor" aria-label="anchor" href="#the-info_level-argument"></a>
+</h4>
+<p>The <code>info_level</code> argument is an integer that controls the
+amount of information shown to the user. It works by filtering signals
+based on their assigned level.</p>
+<ul>
+<li>
+<strong><code>info_level = 0</code></strong>: No information
+messages are shown. This is useful for running simulations in loops or
+when a clean output is desired.</li>
+<li>
+<strong><code>info_level = 1</code></strong>: Only important
+messages are shown. These are typically about issues that might affect
+the validity of the model or significant assumptions being made.</li>
+<li>
+<strong><code>info_level = 2</code></strong>: Intermediate level
+(currently not widely used, reserved for future granularity).</li>
+<li>
+<strong><code>info_level = 3</code></strong>: All information
+messages are shown. This includes details about default values being set
+and other minor notifications.</li>
+</ul>
+</div>
+<div class="section level4">
+<h4 id="how-to-use-signals">How to Use Signals<a class="anchor" aria-label="anchor" href="#how-to-use-signals"></a>
+</h4>
+<p>When writing functions in mizer, you should use <code>signal()</code>
+instead of <code><a href="https://rdrr.io/r/base/message.html" class="external-link">message()</a></code> or <code><a href="https://rdrr.io/r/base/warning.html" class="external-link">warning()</a></code> for
+information that is not critical (i.e., not an error or a deprecation
+warning) but helpful for the user to know.</p>
+<div class="section level5">
+<h5 id="syntax">Syntax<a class="anchor" aria-label="anchor" href="#syntax"></a>
+</h5>
+<div class="sourceCode" id="cb7"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="fu">signal</span><span class="op">(</span><span class="va">message</span>, class <span class="op">=</span> <span class="st">"info_about_default"</span>, var <span class="op">=</span> <span class="st">"variable_name"</span>, level <span class="op">=</span> <span class="va">integer_level</span><span class="op">)</span></span></code></pre></div>
+<ul>
+<li>
+<strong><code>message</code></strong>: The text to display.</li>
+<li>
+<strong><code>class</code></strong>: Should be
+<code>"info_about_default"</code> for messages related to setting
+default values.</li>
+<li>
+<strong><code>var</code></strong>: The name of the variable or
+parameter the message is about (e.g., “h”, “gamma”, “ks”).</li>
+<li>
+<strong><code>level</code></strong>: The importance level of the
+message (1, 2, or 3).</li>
+</ul>
+</div>
+<div class="section level5">
+<h5 id="guidelines-for-levels">Guidelines for Levels<a class="anchor" aria-label="anchor" href="#guidelines-for-levels"></a>
+</h5>
+<ul>
+<li>
+<strong>Level 1</strong>: Use for non-critical but significant
+issues.
+<ul>
+<li>Example: “Because you have n != p, the default value for
+<code>h</code> is not very good.”</li>
+</ul>
+</li>
+<li>
+<strong>Level 3</strong>: Use for routine information about
+defaults.
+<ul>
+<li>Example: “For species where no growth information is available the
+parameter h has been set to h = 30.”</li>
+</ul>
+</li>
+</ul>
+</div>
+</div>
+<div class="section level4">
+<h4 id="handling-signals">Handling Signals<a class="anchor" aria-label="anchor" href="#handling-signals"></a>
+</h4>
+<p>Functions that accept <code>info_level</code> should set up a calling
+handler to capture and filter these signals.</p>
+<div class="sourceCode" id="cb8"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">infos</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="op">)</span></span>
 <span><span class="va">collect_info</span> <span class="op">&lt;-</span> <span class="kw">function</span><span class="op">(</span><span class="va">cnd</span><span class="op">)</span> <span class="op">{</span></span>
-<span>  <span class="kw">if</span> <span class="op">(</span><span class="va">cnd</span><span class="op">$</span><span class="va">level</span> <span class="op">&gt;=</span> <span class="va">info_level</span><span class="op">)</span> <span class="op">{</span></span>
-<span>    <span class="va">infos</span><span class="op">[[</span><span class="va">cnd</span><span class="op">$</span><span class="va">var</span><span class="op">]</span><span class="op">]</span> <span class="op">&lt;&lt;-</span> <span class="va">cnd</span><span class="op">$</span><span class="va">message</span></span>
-<span>  <span class="fu">cnd_muffle</span><span class="op">(</span><span class="va">cnd</span><span class="op">)</span> <span class="co"># So this info will not be repeated higher up</span></span>
-<span>  <span class="op">}</span></span>
+<span>    <span class="kw">if</span> <span class="op">(</span><span class="va">cnd</span><span class="op">$</span><span class="va">level</span> <span class="op">&lt;=</span> <span class="va">info_level</span><span class="op">)</span> <span class="op">{</span></span>
+<span>        <span class="va">infos</span><span class="op">[[</span><span class="va">cnd</span><span class="op">$</span><span class="va">var</span><span class="op">]</span><span class="op">]</span> <span class="op">&lt;&lt;-</span> <span class="va">cnd</span><span class="op">$</span><span class="va">message</span></span>
+<span>        <span class="fu">rlang</span><span class="fu">::</span><span class="fu"><a href="https://rlang.r-lib.org/reference/cnd_muffle.html" class="external-link">cnd_muffle</a></span><span class="op">(</span><span class="va">cnd</span><span class="op">)</span> <span class="co"># So this info will not be repeated higher up</span></span>
+<span>    <span class="op">}</span></span>
 <span><span class="op">}</span></span>
-<span><span class="co"># Register this signal handler</span></span>
-<span><span class="fu"><a href="https://rdrr.io/r/base/conditions.html" class="external-link">withCallingHandlers</a></span><span class="op">(</span></span>
-<span>  info_about_default <span class="op">=</span> <span class="va">collect_info</span></span>
-<span></span>
-<span>  <span class="co"># Here goes the existing code of the function</span></span>
 <span></span>
+<span><span class="fu"><a href="https://rdrr.io/r/base/conditions.html" class="external-link">withCallingHandlers</a></span><span class="op">(</span></span>
+<span>    info_about_default <span class="op">=</span> <span class="va">collect_info</span>, <span class="op">{</span></span>
+<span>        <span class="co"># ... code that might generate signals ...</span></span>
+<span>    <span class="op">}</span></span>
 <span><span class="op">)</span></span>
-<span><span class="co"># Here goes some code to process the list `infos` to create</span></span>
-<span><span class="co"># a useful narrative for the user.</span></span></code></pre>
+<span></span>
+<span><span class="kw">if</span> <span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/length.html" class="external-link">length</a></span><span class="op">(</span><span class="va">infos</span><span class="op">)</span> <span class="op">&gt;</span> <span class="fl">0</span><span class="op">)</span> <span class="op">{</span></span>
+<span>    <span class="fu"><a href="https://rdrr.io/r/base/message.html" class="external-link">message</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/paste.html" class="external-link">paste</a></span><span class="op">(</span><span class="va">infos</span>, collapse <span class="op">=</span> <span class="st">"\n"</span><span class="op">)</span><span class="op">)</span></span>
+<span><span class="op">}</span></span></code></pre></div>
+<p>This pattern collects all relevant messages and prints them at the
+end, avoiding duplicate messages for the same variable if multiple
+defaults are set.</p>
+</div>
+<div class="section level4">
+<h4 id="avoiding-duplication">Avoiding Duplication<a class="anchor" aria-label="anchor" href="#avoiding-duplication"></a>
+</h4>
+<p>Signals in R bubble up the call stack via
+<code>withCallingHandlers</code>. To ensure a unified summary and avoid
+duplicate messages, we adopt a <strong>Top-Level Reporting</strong>
+strategy:</p>
+<ul>
+<li>
+<strong>Top-Level Functions</strong>: Functions that are directly
+called by the user (e.g., <code>newCommunityParams</code>) should handle
+signals and print the summary.</li>
+<li>
+<strong>Inner Functions</strong>: Functions called by other
+functions (e.g., <code>newMultispeciesParams</code> called by
+<code>newCommunityParams</code>) should be called with
+<code>info_level = 0</code>. This prevents them from printing their own
+summary while allowing their signals to bubble up to the top-level
+function’s handler.</li>
+</ul>
+<p>For example, <code>newMultispeciesParams</code> calls
+<code>setParams(params, info_level = 0, ...)</code> so that
+<code>setParams</code> does not print its own summary; instead, the
+signals bubble up to <code>newMultispeciesParams</code>’s handler.</p>
+</div>
 </div>
 </div>
 <div class="section level2">
diff --git a/docs/articles/editing_website.html b/docs/articles/editing_website.html
index 565143ab0..9dd878ea0 100644
--- a/docs/articles/editing_website.html
+++ b/docs/articles/editing_website.html
@@ -17,7 +17,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
 <link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
 <script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet">
 <link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet">
@@ -31,7 +31,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -54,13 +54,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -73,6 +81,7 @@
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
       </ul>
 <ul class="navbar-nav">
+<li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
 <li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json">
 </form></li>
@@ -119,7 +128,7 @@ <h2 id="website-built-from-package-documentation">Website built from package doc
 package. You can trigger a build in your local repository by issuing the
 commands</p>
 <div class="sourceCode" id="cb1"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span><span class="fu">devtools</span><span class="fu">::</span><span class="fu"><a href="https://remotes.r-lib.org/reference/install_github.html" class="external-link">install_github</a></span><span class="op">(</span><span class="st">"gustavdelius/pkgdown"</span>, ref <span class="op">=</span> <span class="st">"mizer"</span><span class="op">)</span></span>
+<code class="sourceCode R"><span><span class="fu">devtools</span><span class="fu">::</span><span class="fu"><a href="https://devtools.r-lib.org/reference/install-deprecated.html" class="external-link">install_github</a></span><span class="op">(</span><span class="st">"gustavdelius/pkgdown"</span>, ref <span class="op">=</span> <span class="st">"mizer"</span><span class="op">)</span></span>
 <span><span class="fu">pkgdown</span><span class="fu">::</span><span class="fu"><a href="https://pkgdown.r-lib.org/reference/build_site.html" class="external-link">build_site</a></span><span class="op">(</span><span class="op">)</span></span></code></pre></div>
 <p>This will convert all existing documentation into html files and put
 these into the <code>docs</code> subdirectory of your mizer directory.
@@ -212,10 +221,10 @@ <h2 id="changing-page-content">Changing page content<a class="anchor" aria-label
 <div class="section level2">
 <h2 id="github-pages">GitHub pages<a class="anchor" aria-label="anchor" href="#github-pages"></a>
 </h2>
-<p>The website is hosted with <a href="https://pages.github.com/" class="external-link">GitHubPages</a>. In the settings pages
-of the mizer repository on GitHub the source is set to “master
-branch/docs folder”. This means that only the master branch controls the
-website.</p>
+<p>The website is hosted with <a href="https://pages.github.com/" class="external-link">GitHub
+Pages</a>. In the settings pages of the mizer repository on GitHub the
+source is set to “master branch/docs folder”. This means that only the
+master branch controls the website.</p>
 </div>
 <div class="section level2">
 <h2 id="search-bar">Search bar<a class="anchor" aria-label="anchor" href="#search-bar"></a>
diff --git a/docs/articles/exploring_the_simulation_results.html b/docs/articles/exploring_the_simulation_results.html
index 96c7cd8c9..490c3287d 100644
--- a/docs/articles/exploring_the_simulation_results.html
+++ b/docs/articles/exploring_the_simulation_results.html
@@ -17,7 +17,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
 <link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
 <script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet">
 <link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet">
@@ -31,7 +31,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -54,13 +54,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -73,6 +81,7 @@
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
       </ul>
 <ul class="navbar-nav">
+<li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
 <li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json">
 </form></li>
@@ -208,30 +217,19 @@ <h3 id="sec:summaries_example">Examples of using the summary functions<a class="
 <pre><code><span><span class="co">## [1] 10 12</span></span></code></pre>
 <div class="sourceCode" id="cb10"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/utils/head.html" class="external-link">head</a></span><span class="op">(</span><span class="va">ssb</span><span class="op">)</span></span></code></pre></div>
-<pre><code><span><span class="co">##     sp</span></span>
-<span><span class="co">## time        Sprat      Sandeel       N.pout      Herring        Dab</span></span>
-<span><span class="co">##    1 210810187886 5.378411e+12 183159668755 442644004208 6885675636</span></span>
-<span><span class="co">##    2 157421300798 3.498137e+12 153386837865 499200353502 5278650740</span></span>
-<span><span class="co">##    3 138701220818 2.510551e+12 135619248024 603931625682 5065030019</span></span>
-<span><span class="co">##    4 118875574040 1.997337e+12 110306292341 569167018628 4877123531</span></span>
-<span><span class="co">##    5 114060666493 1.790051e+12 112246876589 420615452917 5224602753</span></span>
-<span><span class="co">##    6 125640651552 1.736155e+12 124869964868 351468531499 6147959412</span></span>
-<span><span class="co">##     sp</span></span>
-<span><span class="co">## time      Whiting        Sole    Gurnard       Plaice      Haddock          Cod</span></span>
-<span><span class="co">##    1 113572753243 63630241776 9102232924 303365911438 151965178029 531536722956</span></span>
-<span><span class="co">##    2  87964359889 46775076902 7385280731 232689238362 117830523964 345850203280</span></span>
-<span><span class="co">##    3  91749455062 45443905458 7528148453 240988454909 135946957263 290183064993</span></span>
-<span><span class="co">##    4  85038348880 49465062866 6855105119 264670808435 158905104522 308445205952</span></span>
-<span><span class="co">##    5  77139941423 53555703121 5600934574 279557468426 145778058562 335438386336</span></span>
-<span><span class="co">##    6  82462061701 56441766035 5398238488 278206590917 123593721267 351386199474</span></span>
-<span><span class="co">##     sp</span></span>
-<span><span class="co">## time       Saithe</span></span>
-<span><span class="co">##    1 327578246185</span></span>
-<span><span class="co">##    2 218500695506</span></span>
-<span><span class="co">##    3 197610219846</span></span>
-<span><span class="co">##    4 228220656964</span></span>
-<span><span class="co">##    5 271860341040</span></span>
-<span><span class="co">##    6 287805766571</span></span></code></pre>
+<pre><code><span><span class="co">## Spawning stock biomass (6 times x 12 species) [g] </span></span>
+<span><span class="co">##   Sprat: min=1.14e+11 mean=1.44e+11 max=2.11e+11</span></span>
+<span><span class="co">##   Sandeel: min=1.74e+12 mean=2.82e+12 max=5.38e+12</span></span>
+<span><span class="co">##   N.pout: min=1.1e+11 mean=1.37e+11 max=1.83e+11</span></span>
+<span><span class="co">##   Herring: min=3.51e+11 mean=4.81e+11 max=6.04e+11</span></span>
+<span><span class="co">##   Dab: min=4.88e+09 mean=5.58e+09 max=6.89e+09</span></span>
+<span><span class="co">##   Whiting: min=7.71e+10 mean=8.97e+10 max=1.14e+11</span></span>
+<span><span class="co">##   Sole: min=4.54e+10 mean=5.26e+10 max=6.36e+10</span></span>
+<span><span class="co">##   Gurnard: min=5.4e+09 mean=6.98e+09 max=9.1e+09</span></span>
+<span><span class="co">##   Plaice: min=2.33e+11 mean=2.67e+11 max=3.03e+11</span></span>
+<span><span class="co">##   Haddock: min=1.18e+11 mean=1.39e+11 max=1.59e+11</span></span>
+<span><span class="co">##   Cod: min=2.9e+11 mean=3.6e+11 max=5.32e+11</span></span>
+<span><span class="co">##   Saithe: min=1.98e+11 mean=2.55e+11 max=3.28e+11</span></span></code></pre>
 <p>As mentioned above, we can specify the size range for the
 <code>getsummaryBiomass()</code> and <code><a href="../reference/getN.html">getN()</a></code> functions. For
 example, here we calculate the total biomass of each species but only
@@ -240,30 +238,19 @@ <h3 id="sec:summaries_example">Examples of using the summary functions<a class="
 <div class="sourceCode" id="cb12"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="va">biomass</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/getBiomass.html">getBiomass</a></span><span class="op">(</span><span class="va">sim</span>, min_w <span class="op">=</span> <span class="fl">10</span>, max_w <span class="op">=</span> <span class="fl">1000</span><span class="op">)</span></span>
 <span><span class="fu"><a href="https://rdrr.io/r/utils/head.html" class="external-link">head</a></span><span class="op">(</span><span class="va">biomass</span><span class="op">)</span></span></code></pre></div>
-<pre><code><span><span class="co">##     sp</span></span>
-<span><span class="co">## time        Sprat      Sandeel       N.pout      Herring        Dab</span></span>
-<span><span class="co">##    1 244119195586 4.589606e+12 238847649463 1.273446e+12 8373096367</span></span>
-<span><span class="co">##    2 189464604834 2.888858e+12 214678099536 1.413601e+12 6837801607</span></span>
-<span><span class="co">##    3 169593586308 1.931520e+12 185655249238 1.536104e+12 6536986610</span></span>
-<span><span class="co">##    4 146468867085 1.409300e+12 166879189209 1.360238e+12 6286073743</span></span>
-<span><span class="co">##    5 144115814704 1.171670e+12 178630603519 1.175016e+12 6849215327</span></span>
-<span><span class="co">##    6 159924185834 1.102235e+12 192414189537 1.177930e+12 7904848054</span></span>
-<span><span class="co">##     sp</span></span>
-<span><span class="co">## time      Whiting         Sole     Gurnard       Plaice      Haddock</span></span>
-<span><span class="co">##    1 161515844306 127400523235 24759887586 766087469917 333172493301</span></span>
-<span><span class="co">##    2 140923805330 112319321368 24087806247 722705573485 335440217763</span></span>
-<span><span class="co">##    3 139784785126 114244854064 23828541236 743105121821 372682335506</span></span>
-<span><span class="co">##    4 127051769924 115827036011 20324716177 711903001258 356182595515</span></span>
-<span><span class="co">##    5 126548669345 116366841999 19072116393 661973266258 323469227911</span></span>
-<span><span class="co">##    6 137220141191 121684387886 21334281004 668659838352 325245994096</span></span>
-<span><span class="co">##     sp</span></span>
-<span><span class="co">## time         Cod       Saithe</span></span>
-<span><span class="co">##    1 45159646196 158969500338</span></span>
-<span><span class="co">##    2 52110333051 183496280557</span></span>
-<span><span class="co">##    3 62885974091 216448253249</span></span>
-<span><span class="co">##    4 59073484678 214031942473</span></span>
-<span><span class="co">##    5 51993520691 174593364166</span></span>
-<span><span class="co">##    6 49544506290 138713867303</span></span></code></pre>
+<pre><code><span><span class="co">## Biomass (6 times x 12 species) [g] </span></span>
+<span><span class="co">##   Sprat: min=1.44e+11 mean=1.76e+11 max=2.44e+11</span></span>
+<span><span class="co">##   Sandeel: min=1.1e+12 mean=2.18e+12 max=4.59e+12</span></span>
+<span><span class="co">##   N.pout: min=1.67e+11 mean=1.96e+11 max=2.39e+11</span></span>
+<span><span class="co">##   Herring: min=1.18e+12 mean=1.32e+12 max=1.54e+12</span></span>
+<span><span class="co">##   Dab: min=6.29e+09 mean=7.13e+09 max=8.37e+09</span></span>
+<span><span class="co">##   Whiting: min=1.27e+11 mean=1.39e+11 max=1.62e+11</span></span>
+<span><span class="co">##   Sole: min=1.12e+11 mean=1.18e+11 max=1.27e+11</span></span>
+<span><span class="co">##   Gurnard: min=1.91e+10 mean=2.22e+10 max=2.48e+10</span></span>
+<span><span class="co">##   Plaice: min=6.62e+11 mean=7.12e+11 max=7.66e+11</span></span>
+<span><span class="co">##   Haddock: min=3.23e+11 mean=3.41e+11 max=3.73e+11</span></span>
+<span><span class="co">##   Cod: min=4.52e+10 mean=5.35e+10 max=6.29e+10</span></span>
+<span><span class="co">##   Saithe: min=1.39e+11 mean=1.81e+11 max=2.16e+11</span></span></code></pre>
 </div>
 </div>
 <div class="section level2">
@@ -343,7 +330,7 @@ <h2 id="plotting-the-results">Plotting the results<a class="anchor" aria-label="
 type <code>ggplot</code> from the <code>ggplot2</code> package, meaning
 that they can be further modified by the user (e.g. by changing the
 plotting theme). See the help page of the individual plot functions for
-more details. The generic <code><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot()</a></code> method has also been
+more details. The generic <code><a href="../reference/plot.html">plot()</a></code> method has also been
 overloaded for <code>MizerSim</code> objects. This produces several
 plots in the same window to provide a snapshot of the results of the
 simulation.</p>
@@ -361,7 +348,7 @@ <h3 id="sec:plot_examples">Plotting examples<a class="anchor" aria-label="anchor
 <code><a href="../reference/plotBiomass.html">plotBiomass()</a></code> function:</p>
 <div class="sourceCode" id="cb18"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu"><a href="../reference/plotBiomass.html">plotBiomass</a></span><span class="op">(</span><span class="va">sim</span><span class="op">)</span></span></code></pre></div>
-<p><img src="exploring_the_simulation_results_files/figure-html/plotBiomass-1.png" class="r-plt" width="700"></p>
+<p><img src="exploring_the_simulation_results_files/figure-html/plotBiomass-1.png" class="r-plt" alt="" width="700"></p>
 <p>As mentioned above, some of the plot functions plot values against
 size at a point in time (or averaged over a time period). For these
 plots it is possible to specify the time step to plot, or the time
@@ -370,9 +357,9 @@ <h3 id="sec:plot_examples">Plotting examples<a class="anchor" aria-label="anchor
 5 to 10:</p>
 <div class="sourceCode" id="cb19"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu"><a href="../reference/plotSpectra.html">plotSpectra</a></span><span class="op">(</span><span class="va">sim</span>, time_range <span class="op">=</span> <span class="fl">5</span><span class="op">:</span><span class="fl">10</span><span class="op">)</span></span></code></pre></div>
-<p><img src="exploring_the_simulation_results_files/figure-html/plotSpectra_example-1.png" class="r-plt" width="700"></p>
+<p><img src="exploring_the_simulation_results_files/figure-html/plotSpectra_example-1.png" class="r-plt" alt="" width="700"></p>
 <p>As mentioned above, and as we have seen several times in this guide,
-the generic <code><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot()</a></code> method has also been overloaded. This
+the generic <code><a href="../reference/plot.html">plot()</a></code> method has also been overloaded. This
 produces 5 plots in the same window (<code><a href="../reference/plotFeedingLevel.html">plotFeedingLevel()</a></code>,
 <code><a href="../reference/plotBiomass.html">plotBiomass()</a></code>, <code><a href="../reference/plotPredMort.html">plotPredMort()</a></code>,
 <code><a href="../reference/plotFMort.html">plotFMort()</a></code> and <code><a href="../reference/plotSpectra.html">plotSpectra()</a></code>). It is possible
@@ -380,8 +367,8 @@ <h3 id="sec:plot_examples">Plotting examples<a class="anchor" aria-label="anchor
 e.g. arguments to change the time period over which the data is
 averaged.</p>
 <div class="sourceCode" id="cb20"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">sim</span><span class="op">)</span></span></code></pre></div>
-<p><img src="exploring_the_simulation_results_files/figure-html/demo_summary_plot-1.png" class="r-plt" width="700"></p>
+<code class="sourceCode R"><span><span class="fu"><a href="../reference/plot.html">plot</a></span><span class="op">(</span><span class="va">sim</span><span class="op">)</span></span></code></pre></div>
+<p><img src="exploring_the_simulation_results_files/figure-html/demo_summary_plot-1.png" class="r-plt" alt="" width="700"></p>
 <p>The next section describes how to use what we have learned to <a href="a_multispecies_model_of_the_north_sea.html">model the North
 Sea.</a></p>
 </div>
diff --git a/docs/articles/exploring_the_simulation_results_files/figure-html/demo_summary_plot-1.png b/docs/articles/exploring_the_simulation_results_files/figure-html/demo_summary_plot-1.png
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diff --git a/docs/articles/exploring_the_simulation_results_files/figure-html/plotSpectra_example-1.png b/docs/articles/exploring_the_simulation_results_files/figure-html/plotSpectra_example-1.png
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diff --git a/docs/articles/extension-chain.html b/docs/articles/extension-chain.html
new file mode 100644
index 000000000..8d34b4393
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+++ b/docs/articles/extension-chain.html
@@ -0,0 +1,410 @@
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+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Using mizer extension packages</h1>
+            
+      
+      <small class="dont-index">Source: <a href="https://github.com/sizespectrum/mizer/blob/HEAD/vignettes/extension-chain.Rmd" class="external-link"><code>vignettes/extension-chain.Rmd</code></a></small>
+      <div class="d-none name"><code>extension-chain.Rmd</code></div>
+    </div>
+
+    
+    
+<div class="section level2">
+<h2 id="overview">Overview<a class="anchor" aria-label="anchor" href="#overview"></a>
+</h2>
+<p>This vignette explains what happens when you load one or more mizer
+extension packages, why the order in which you load them can matter, and
+how to save and share models that use extensions.</p>
+<p>Extension packages such as <a href="https://github.com/sizespectrum/mizerShelf" class="external-link">mizerShelf</a> or <a href="https://github.com/sizespectrum/mizerStarvation" class="external-link">mizerStarvation</a>
+add new biology to mizer — extra mortality terms, additional components
+such as detritus and carrion, overridden plotting functions, and so on.
+You do not need to know how those packages are built to use them, but
+you do need to understand a few things about how mizer keeps track of
+them.</p>
+</div>
+<div class="section level2">
+<h2 id="the-extension-chain">The extension chain<a class="anchor" aria-label="anchor" href="#the-extension-chain"></a>
+</h2>
+<p>Every mizer extension package announces itself to mizer when it is
+loaded. Internally, mizer maintains a list of all the currently loaded
+extensions, in the order they registered themselves. This list is called
+the <strong>extension chain</strong>.</p>
+<p>To see the current extension chain, call:</p>
+<div class="sourceCode" id="cb1"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="fu"><a href="../reference/getRegisteredExtensions.html">getRegisteredExtensions</a></span><span class="op">(</span><span class="op">)</span></span></code></pre></div>
+<p>The result is a named character vector. The <strong>names</strong>
+are the extension identifiers (which double as S4 class names). The
+<strong>values</strong> are installation specifications — a version
+string such as <code>"1.2.0"</code> for packages on CRAN, or a GitHub
+path such as <code>"sizespectrum/mizerShelf"</code> for packages that
+are only on GitHub. The first element in the vector is the
+<em>outermost</em> extension (the one with the highest dispatch
+priority), and the last element is the innermost.</p>
+<p>If no extension packages are loaded,
+<code><a href="../reference/getRegisteredExtensions.html">getRegisteredExtensions()</a></code> returns an empty, unnamed
+character vector.</p>
+</div>
+<div class="section level2">
+<h2 id="why-loading-order-matters">Why loading order matters<a class="anchor" aria-label="anchor" href="#why-loading-order-matters"></a>
+</h2>
+<p>When two extension packages both override the same mizer function —
+say, <code><a href="../reference/getBiomass.html">getBiomass()</a></code> — R has to decide which version to call
+first. It does this by looking at the class of the <code>params</code>
+object and working through the class hierarchy from outermost to
+innermost. The outermost extension gets the first say, and each
+extension can choose to modify the result of the extensions below
+it.</p>
+<p>This means that <strong>the order in which you call
+<code><a href="https://rdrr.io/r/base/library.html" class="external-link">library()</a></code></strong> determines which extension is outermost.
+Whichever package is loaded <em>last</em> ends up at the front of the
+chain.</p>
+<p>For example, suppose <code>mizerShelf</code> adds detritus biomass to
+<code><a href="../reference/getBiomass.html">getBiomass()</a></code>, and <code>mizerFoo</code> adds some other
+component. If you load them as:</p>
+<div class="sourceCode" id="cb2"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va">mizerShelf</span><span class="op">)</span></span>
+<span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va">mizerFoo</span><span class="op">)</span></span></code></pre></div>
+<p>then <code>mizerFoo</code> is outermost. When
+<code><a href="../reference/getBiomass.html">getBiomass()</a></code> is called, <code>mizerFoo</code>’s version
+runs first, calls the next version in the chain (mizerShelf’s), which
+calls the base mizer version. The final result has both mizerShelf’s and
+mizerFoo’s additions.</p>
+<p>If instead you load them in the opposite order:</p>
+<div class="sourceCode" id="cb3"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va">mizerFoo</span><span class="op">)</span></span>
+<span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va">mizerShelf</span><span class="op">)</span></span></code></pre></div>
+<p>then <code>mizerShelf</code> is outermost. The result is still
+composed of both contributions, but <code>mizerShelf</code> sees the
+result first and can wrap around everything <code>mizerFoo</code>
+does.</p>
+<p>In most cases both orderings give the same answer, because the
+extensions touch different parts of the calculation. But if they
+interact — for example if one extension’s additions depend on what
+another extension computed — the order can matter. Check the
+documentation of each extension package to see whether it specifies a
+required load order relative to other packages.</p>
+</div>
+<div class="section level2">
+<h2 id="working-with-the-extension-chain">Working with the extension chain<a class="anchor" aria-label="anchor" href="#working-with-the-extension-chain"></a>
+</h2>
+<div class="section level3">
+<h3 id="checking-the-chain">Checking the chain<a class="anchor" aria-label="anchor" href="#checking-the-chain"></a>
+</h3>
+<div class="sourceCode" id="cb4"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="fu"><a href="../reference/getRegisteredExtensions.html">getRegisteredExtensions</a></span><span class="op">(</span><span class="op">)</span></span></code></pre></div>
+<p>Call this any time you want to confirm which extensions are active
+and in what order. The output is in dispatch order: the first element is
+called first.</p>
+</div>
+<div class="section level3">
+<h3 id="restarting-with-a-clean-chain">Restarting with a clean chain<a class="anchor" aria-label="anchor" href="#restarting-with-a-clean-chain"></a>
+</h3>
+<p>If you want to start fresh — for instance, because you loaded
+packages in the wrong order — you can clear the session’s extension
+registry:</p>
+<div class="sourceCode" id="cb5"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="fu"><a href="../reference/clearExtensionChain.html">clearExtensionChain</a></span><span class="op">(</span><span class="op">)</span></span></code></pre></div>
+<p>After this call, <code><a href="../reference/getRegisteredExtensions.html">getRegisteredExtensions()</a></code> returns an
+empty vector. You can then load your extension packages again (or call
+<code><a href="../reference/registerExtensions.html">registerExtensions()</a></code> directly, see below) to rebuild the
+chain in the order you want.</p>
+<p>Note that clearing the chain does not unload the packages themselves;
+it only removes their entries from mizer’s internal registry. You will
+need to reload or re-register the extensions before creating or using
+params objects that depend on them.</p>
+</div>
+<div class="section level3">
+<h3 id="setting-the-chain-manually">Setting the chain manually<a class="anchor" aria-label="anchor" href="#setting-the-chain-manually"></a>
+</h3>
+<p>If you want full control over the chain — for example to reproduce an
+exact chain that was recorded in a collaborator’s params object — you
+can set it directly with <code><a href="../reference/registerExtensions.html">registerExtensions()</a></code>:</p>
+<div class="sourceCode" id="cb6"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">chain</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span>mizerFoo <span class="op">=</span> <span class="st">"owner/mizerFoo"</span>, mizerShelf <span class="op">=</span> <span class="st">"sizespectrum/mizerShelf"</span><span class="op">)</span></span>
+<span><span class="fu"><a href="../reference/registerExtensions.html">registerExtensions</a></span><span class="op">(</span><span class="va">chain</span><span class="op">)</span></span></code></pre></div>
+<p>The names must match the extension identifiers that each package uses
+when it registers itself (normally the package name). The values are
+installation specifications used when a missing package needs to be
+installed automatically.</p>
+<p>This is mostly needed in advanced scenarios. In normal use you simply
+call <code><a href="https://rdrr.io/r/base/library.html" class="external-link">library()</a></code> for each extension you need, and the chain
+builds itself.</p>
+</div>
+</div>
+<div class="section level2">
+<h2 id="params-objects-and-the-extension-chain">Params objects and the extension chain<a class="anchor" aria-label="anchor" href="#params-objects-and-the-extension-chain"></a>
+</h2>
+<div class="section level3">
+<h3 id="what-gets-recorded-in-a-params-object">What gets recorded in a params object<a class="anchor" aria-label="anchor" href="#what-gets-recorded-in-a-params-object"></a>
+</h3>
+<p>When an extension package creates a new <code>MizerParams</code>
+object (for example, when you call
+<code>mizerShelf::newDetritusCarrionParams()</code>), it stamps the
+object with the full extension chain that was active at that moment.
+This snapshot is stored in the <code>@extensions</code> slot of the
+params object.</p>
+<p>You can inspect it:</p>
+<div class="sourceCode" id="cb7"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">params</span><span class="op">@</span><span class="va">extensions</span></span></code></pre></div>
+<p>This record serves two purposes:</p>
+<ol style="list-style-type: decimal">
+<li>
+<strong>Reproducibility.</strong> It tells anyone who opens the
+object later exactly which extension packages — and which versions —
+were used to build the model.</li>
+<li>
+<strong>Class restoration.</strong> When the object is saved and
+reloaded, mizer uses this record to promote the object back to the
+correct S4 class automatically, so that functions like
+<code><a href="../reference/getBiomass.html">getBiomass()</a></code> continue to dispatch to the right extension
+methods.</li>
+</ol>
+</div>
+<div class="section level3">
+<h3 id="saving-and-loading-params-objects">Saving and loading params objects<a class="anchor" aria-label="anchor" href="#saving-and-loading-params-objects"></a>
+</h3>
+<p>Use <code><a href="../reference/saveParams.html">saveParams()</a></code> and <code><a href="../reference/saveParams.html">readParams()</a></code>:</p>
+<div class="sourceCode" id="cb8"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="fu"><a href="../reference/saveParams.html">saveParams</a></span><span class="op">(</span><span class="va">params</span>, <span class="st">"my_model.rds"</span><span class="op">)</span></span>
+<span><span class="va">params</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/saveParams.html">readParams</a></span><span class="op">(</span><span class="st">"my_model.rds"</span><span class="op">)</span></span></code></pre></div>
+<p><code><a href="../reference/saveParams.html">saveParams()</a></code> stores the object on disk. Before saving,
+it warns you if the model relies on custom functions defined only in
+your R session (for example, functions defined in a local script). Those
+functions will not be saved inside the file — you will need to share
+your script alongside the <code>.rds</code> file.</p>
+<p><code><a href="../reference/saveParams.html">readParams()</a></code> restores the object. It automatically:</p>
+<ol style="list-style-type: decimal">
+<li>Reads <code>params@extensions</code> from the saved object.</li>
+<li>Calls <code><a href="../reference/registerExtensions.html">registerExtensions()</a></code> to make the session aware of
+the saved chain.</li>
+<li>Promotes the object to the correct S4 class so that dispatch
+works.</li>
+</ol>
+<p>As long as the required extension packages are already installed in
+your R library, this is seamless.</p>
+</div>
+<div class="section level3">
+<h3 id="saving-and-loading-simulation-objects">Saving and loading simulation objects<a class="anchor" aria-label="anchor" href="#saving-and-loading-simulation-objects"></a>
+</h3>
+<p><code>MizerSim</code> objects (produced by <code><a href="../reference/project.html">project()</a></code>)
+carry the params object inside them, so the extension chain is embedded
+there too. Use <code><a href="../reference/saveParams.html">saveSim()</a></code> and <code><a href="../reference/saveParams.html">readSim()</a></code>:</p>
+<div class="sourceCode" id="cb9"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">sim</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/project.html">project</a></span><span class="op">(</span><span class="va">params</span>, t_max <span class="op">=</span> <span class="fl">10</span><span class="op">)</span></span>
+<span><span class="fu"><a href="../reference/saveParams.html">saveSim</a></span><span class="op">(</span><span class="va">sim</span>, <span class="st">"my_simulation.rds"</span><span class="op">)</span></span>
+<span><span class="va">sim</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/saveParams.html">readSim</a></span><span class="op">(</span><span class="st">"my_simulation.rds"</span><span class="op">)</span></span></code></pre></div>
+<p><code><a href="../reference/saveParams.html">readSim()</a></code> performs the same automatic extension
+registration and class coercion as <code><a href="../reference/saveParams.html">readParams()</a></code>.</p>
+</div>
+</div>
+<div class="section level2">
+<h2 id="sharing-models-with-collaborators">Sharing models with collaborators<a class="anchor" aria-label="anchor" href="#sharing-models-with-collaborators"></a>
+</h2>
+<p>When you send a saved <code>.rds</code> file to a collaborator, they
+need the same extension packages installed to work with it.
+<code><a href="../reference/saveParams.html">readParams()</a></code> and <code><a href="../reference/saveParams.html">readSim()</a></code> warn them if a
+required package is missing.</p>
+<p>If you want the load step to install missing packages automatically,
+pass <code>install_extensions = TRUE</code>:</p>
+<div class="sourceCode" id="cb10"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">params</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/saveParams.html">readParams</a></span><span class="op">(</span><span class="st">"my_model.rds"</span>, install_extensions <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></code></pre></div>
+<p>This uses the installation specifications stored in
+<code>params@extensions</code> to fetch the correct version of each
+package (from CRAN or GitHub as appropriate).</p>
+</div>
+<div class="section level2">
+<h2 id="common-scenarios">Common scenarios<a class="anchor" aria-label="anchor" href="#common-scenarios"></a>
+</h2>
+<div class="section level3">
+<h3 id="you-get-a-warning-about-missing-extension-packages">You get a warning about missing extension packages<a class="anchor" aria-label="anchor" href="#you-get-a-warning-about-missing-extension-packages"></a>
+</h3>
+<pre><code>Error in readParams("my_model.rds") :
+  Some required extension packages are not installed: mizerShelf</code></pre>
+<p>Either install the package manually
+(<code>pak::pkg_install("sizespectrum/mizerShelf")</code>) or reload
+with:</p>
+<div class="sourceCode" id="cb12"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">params</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/saveParams.html">readParams</a></span><span class="op">(</span><span class="st">"my_model.rds"</span>, install_extensions <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></code></pre></div>
+</div>
+<div class="section level3">
+<h3 id="you-want-to-check-what-extensions-a-params-object-requires">You want to check what extensions a params object requires<a class="anchor" aria-label="anchor" href="#you-want-to-check-what-extensions-a-params-object-requires"></a>
+</h3>
+<div class="sourceCode" id="cb13"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">params</span><span class="op">@</span><span class="va">extensions</span></span></code></pre></div>
+<p>The names are the package names; the values tell you where to get
+each one.</p>
+</div>
+<div class="section level3">
+<h3 id="you-loaded-packages-in-the-wrong-order">You loaded packages in the wrong order<a class="anchor" aria-label="anchor" href="#you-loaded-packages-in-the-wrong-order"></a>
+</h3>
+<p>Call <code><a href="../reference/clearExtensionChain.html">clearExtensionChain()</a></code>, then reload in the order you
+want. You do not need to restart R.</p>
+<div class="sourceCode" id="cb14"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="fu"><a href="../reference/clearExtensionChain.html">clearExtensionChain</a></span><span class="op">(</span><span class="op">)</span></span>
+<span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va">mizerShelf</span><span class="op">)</span>   <span class="co"># innermost (loaded first)</span></span>
+<span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va">mizerFoo</span><span class="op">)</span>     <span class="co"># outermost (loaded last)</span></span></code></pre></div>
+<p>After reloading, create or re-read your params objects so they pick
+up the new chain.</p>
+</div>
+<div class="section level3">
+<h3 id="you-are-working-with-a-script-and-want-a-reproducible-chain">You are working with a script and want a reproducible chain<a class="anchor" aria-label="anchor" href="#you-are-working-with-a-script-and-want-a-reproducible-chain"></a>
+</h3>
+<p>Put your <code><a href="https://rdrr.io/r/base/library.html" class="external-link">library()</a></code> calls at the top of the script in a
+fixed order. Because each package registers itself in
+<code>.onLoad</code>, the chain is always rebuilt in the same order when
+you source the script fresh.</p>
+</div>
+</div>
+<div class="section level2">
+<h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a>
+</h2>
+<ul>
+<li>
+<code><a href="../articles/extensions.html">vignette("extensions", package = "mizer")</a></code> — the full
+catalogue of extension mechanisms available to extension authors (custom
+rate functions, components, subclassing).</li>
+<li>
+<code><a href="../articles/extension-packages.html">vignette("extension-packages", package = "mizer")</a></code> — how
+to package your own extension and make it composable with others.</li>
+<li><code><a href="../reference/registerExtension.html">?registerExtension</a></code></li>
+<li><code><a href="../reference/registerExtensions.html">?registerExtensions</a></code></li>
+<li><code><a href="../reference/getRegisteredExtensions.html">?getRegisteredExtensions</a></code></li>
+<li><code><a href="../reference/clearExtensionChain.html">?clearExtensionChain</a></code></li>
+<li><code><a href="../reference/saveParams.html">?saveParams</a></code></li>
+<li><code><a href="../reference/saveParams.html">?readParams</a></code></li>
+<li><code><a href="../reference/saveParams.html">?saveSim</a></code></li>
+<li><code><a href="../reference/saveParams.html">?readSim</a></code></li>
+</ul>
+</div>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside>
+</div>
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+  <p>Developed by <a href="https://www.york.ac.uk/maths/staff/gustav-delius/" class="external-link">Gustav Delius</a>, Finlay Scott, <a href="http://www.utas.edu.au/profiles/staff/imas/julia-blanchard" class="external-link">Julia Blanchard</a>, <a href="https://ken.haste.dk/" class="external-link">Ken Andersen</a>.</p>
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+    <li><button class="dropdown-item" data-bs-theme-value="auto"><span class="fa fa-adjust"></span> Auto</button></li>
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+</li>
+      </ul>
+</div>
+
+
+  </div>
+</nav><div class="container template-article">
+
+
+
+
+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Creating a mizer extension package</h1>
+            
+      
+      <small class="dont-index">Source: <a href="https://github.com/sizespectrum/mizer/blob/HEAD/vignettes/extension-packages.Rmd" class="external-link"><code>vignettes/extension-packages.Rmd</code></a></small>
+      <div class="d-none name"><code>extension-packages.Rmd</code></div>
+    </div>
+
+    
+    
+<div class="section level2">
+<h2 id="overview">Overview<a class="anchor" aria-label="anchor" href="#overview"></a>
+</h2>
+<p>This vignette explains how to turn a mizer extension into a proper R
+package. It is aimed at users who are already comfortable writing custom
+rate functions or adding components with <code><a href="../reference/setComponent.html">setComponent()</a></code>,
+and who now want to share their extension with others or use it across
+multiple projects.</p>
+<p>There are two kinds of extension package:</p>
+<ul>
+<li><p>A <strong>metadata-only</strong> extension registers itself in
+<code>params@extensions</code> for record-keeping, but does not change
+how any mizer generic function behaves. <a href="https://sizespectrum.org/mizerStarvation/">mizerStarvation</a> is
+an example: it adds starvation mortality via the <code>other_mort</code>
+pipeline, but it does not need to override any user-facing mizer
+functions.</p></li>
+<li><p>A <strong>dispatching</strong> extension additionally defines a
+new object type so that mizer’s generic functions (such as
+<code><a href="../reference/getBiomass.html">getBiomass()</a></code> or <code><a href="../reference/plotBiomass.html">plotBiomass()</a></code>) can be made to
+behave differently for models built with that extension. <a href="https://sizespectrum.org/mizerShelf/">mizerShelf</a> is an
+example: it adds detritus and carrion components and overrides
+<code><a href="../reference/getBiomass.html">getBiomass()</a></code> to include their biomasses in the
+result.</p></li>
+</ul>
+<p>This vignette covers both kinds, working through concrete examples
+from each package.</p>
+</div>
+<div class="section level2">
+<h2 id="why-a-package">Why a package?<a class="anchor" aria-label="anchor" href="#why-a-package"></a>
+</h2>
+<p>A plain R script works fine for a single project. An R package
+becomes worthwhile when you want:</p>
+<ul>
+<li>
+<strong>Reuse across projects</strong>: install once,
+<code><a href="https://rdrr.io/r/base/library.html" class="external-link">library()</a></code> everywhere.</li>
+<li>
+<strong>Composability</strong>: when two extension packages are
+loaded at the same time, mizer can arrange their contributions to
+generic functions in the right order automatically (see <a href="#daisy-chaining-with-nextmethod">Daisy-chaining with
+<code>NextMethod()</code></a> below).</li>
+<li>
+<strong>Testing and documentation</strong>: a package gives you a
+natural home for <code>testthat</code> tests, roxygen2 documentation and
+a pkgdown website.</li>
+<li>
+<strong>Version tracking</strong>: <code>params@extensions</code>
+records the version of each extension package used to build a model. If
+a collaborator opens your saved <code>MizerParams</code> object in a
+different session, mizer can warn them if the required package is
+missing or outdated.</li>
+</ul>
+</div>
+<div class="section level2">
+<h2 id="metadata-only-extensions-mizerstarvation">Metadata-only extensions: mizerStarvation<a class="anchor" aria-label="anchor" href="#metadata-only-extensions-mizerstarvation"></a>
+</h2>
+<p><a href="https://github.com/sizespectrum/mizerStarvation" class="external-link">mizerStarvation</a>
+adds starvation mortality — an extra per-capita mortality term that
+kicks in when a fish’s energy balance is negative. It does this via the
+<code>other_mort</code> argument in <code><a href="../reference/setComponent.html">setComponent()</a></code>:
+supplying a function that <code><a href="../reference/getMort.html">getMort()</a></code> calls and adds to the
+mizer mortality at every time step. No mizer generic function needs to
+be overridden.</p>
+<div class="section level3">
+<h3 id="registering-in--onload">Registering in <code>.onLoad</code><a class="anchor" aria-label="anchor" href="#registering-in--onload"></a>
+</h3>
+<p>Every extension package, even a metadata-only one, should announce
+itself to mizer when it is loaded. Place a <code>.onLoad</code> function
+in a file such as <code>R/zzz.R</code>:</p>
+<div class="sourceCode" id="cb1"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">.onLoad</span> <span class="op">&lt;-</span> <span class="kw">function</span><span class="op">(</span><span class="va">libname</span>, <span class="va">pkgname</span><span class="op">)</span> <span class="op">{</span></span>
+<span>  <span class="fu">mizer</span><span class="fu">::</span><span class="fu"><a href="../reference/registerExtension.html">registerExtension</a></span><span class="op">(</span><span class="va">pkgname</span>, requirement <span class="op">=</span> <span class="st">"owner/myExtensionPackage"</span><span class="op">)</span></span>
+<span><span class="op">}</span></span></code></pre></div>
+<p><code><a href="../reference/registerExtension.html">registerExtension()</a></code> adds the package name to the
+session’s extension chain. The <code>requirement</code> string is a
+<code>pak</code> installation spec that mizer uses if it needs to
+install the package automatically. For packages on CRAN you can use a
+minimum version string such as <code>"1.2.0"</code> instead; for
+GitHub-only packages use the <code>"owner/repo"</code> form
+(e.g. <code>"sizespectrum/mizerStarvation"</code>). You can also specify
+a specific branch or version of the package, using the same syntax that
+the <a href="https://pak.r-lib.org/" class="external-link">pak</a> package uses. The call is safe to repeat: if the
+package is already registered (for example because the user called
+<code><a href="https://devtools.r-lib.org/reference/load_all.html" class="external-link">devtools::load_all()</a></code> twice), it returns silently.</p>
+</div>
+<div class="section level3">
+<h3 id="recording-the-extension-in-paramsextensions">Recording the extension in <code>params@extensions</code><a class="anchor" aria-label="anchor" href="#recording-the-extension-in-paramsextensions"></a>
+</h3>
+<p>When your package creates or modifies a <code>MizerParams</code>
+object it should copy the session’s registered extension chain into the
+<code>@extensions</code> slot:</p>
+<div class="sourceCode" id="cb2"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">setStarvation</span> <span class="op">&lt;-</span> <span class="kw">function</span><span class="op">(</span><span class="va">params</span>, <span class="va">starv_coef</span> <span class="op">=</span> <span class="fl">10</span><span class="op">)</span> <span class="op">{</span></span>
+<span>    <span class="co"># ... set up the rate function, species parameters, etc. ...</span></span>
+<span>    <span class="va">params</span><span class="op">@</span><span class="va">extensions</span> <span class="op">&lt;-</span> <span class="fu">mizer</span><span class="fu">::</span><span class="fu"><a href="../reference/getRegisteredExtensions.html">getRegisteredExtensions</a></span><span class="op">(</span><span class="op">)</span></span>
+<span>    <span class="va">params</span></span>
+<span><span class="op">}</span></span></code></pre></div>
+<p><code><a href="../reference/getRegisteredExtensions.html">getRegisteredExtensions()</a></code> returns the full chain that
+<code>.onLoad</code> hooks have built up. Storing this in the object
+serves two purposes:</p>
+<ol style="list-style-type: decimal">
+<li>
+<strong>Reproducibility record.</strong> When the object is saved
+with <code><a href="../reference/saveParams.html">saveParams()</a></code> and later loaded with
+<code><a href="../reference/saveParams.html">readParams()</a></code>, mizer reads <code>@extensions</code> and
+warns if any required package is not installed or is too old.</li>
+<li>
+<strong>Class coercion.</strong> For dispatching extensions (see
+below), <code><a href="../reference/saveParams.html">readParams()</a></code> uses <code>@extensions</code> to
+restore the correct S4 class automatically.</li>
+</ol>
+</div>
+</div>
+<div class="section level2">
+<h2 id="dispatching-extensions-mizershelf">Dispatching extensions: mizerShelf<a class="anchor" aria-label="anchor" href="#dispatching-extensions-mizershelf"></a>
+</h2>
+<p><a href="https://github.com/sizespectrum/mizerShelf" class="external-link">mizerShelf</a>
+adds two dynamical components — detritus and carrion — to a mizer model.
+Beyond just computing them, it also needs to change what certain
+user-facing functions return: for example, <code><a href="../reference/getBiomass.html">getBiomass()</a></code>
+should include the detritus and carrion biomasses alongside the species
+biomasses.</p>
+<p>This section explains how to achieve that without breaking the
+standard mizer behaviour, and without preventing other extension
+packages from also modifying the same function.</p>
+<div class="section level3">
+<h3 id="the-problem-with-simply-overwriting-a-function">The problem with simply overwriting a function<a class="anchor" aria-label="anchor" href="#the-problem-with-simply-overwriting-a-function"></a>
+</h3>
+<p>Suppose you define a new <code><a href="../reference/getBiomass.html">getBiomass()</a></code> function in your
+package that adds your extra biomasses to the result. That works as long
+as your package is the only one that modifies <code><a href="../reference/getBiomass.html">getBiomass()</a></code>.
+But what if a second extension package also wants to add its own extra
+components?</p>
+<p>If both packages replace <code><a href="../reference/getBiomass.html">getBiomass()</a></code>, whichever one was
+loaded last wins, and the other’s contribution is silently lost. There
+is no way for the two packages to compose their changes.</p>
+</div>
+<div class="section level3">
+<h3 id="how-r-dispatches-to-the-right-function">How R dispatches to the right function<a class="anchor" aria-label="anchor" href="#how-r-dispatches-to-the-right-function"></a>
+</h3>
+<p>R has a built-in mechanism for exactly this situation. Every object
+has a <strong>class</strong> attribute — a character string (or a vector
+of strings) that labels what kind of thing it is. When you call a
+function like <code>getBiomass(params)</code>, R looks at the class of
+<code>params</code> and searches for a version of
+<code>getBiomass</code> whose name ends in <code>.</code> followed by
+that class label, such as <code>getBiomass.mizerShelf</code>. If it
+finds one, it calls it. If not, it tries the next class in the vector,
+and so on until it reaches the base class and calls the default
+version.</p>
+<p>This mechanism is called <strong>S3 dispatch</strong>, but you do not
+need to know that term to use it. What matters practically is:</p>
+<ul>
+<li>Give your params objects a distinctive class label
+(e.g. <code>"mizerShelf"</code>).</li>
+<li>Define functions named
+<code>&lt;genericname&gt;.&lt;classname&gt;</code>
+(e.g. <code>getBiomass.mizerShelf</code>).</li>
+<li>Inside those functions, call <code><a href="https://rdrr.io/r/base/UseMethod.html" class="external-link">NextMethod()</a></code> to pass
+control to the next class in the chain before or after your own
+modifications.</li>
+</ul>
+</div>
+<div class="section level3">
+<h3 id="daisy-chaining-with-nextmethod">Daisy-chaining with <code>NextMethod()</code><a class="anchor" aria-label="anchor" href="#daisy-chaining-with-nextmethod"></a>
+</h3>
+<p><code><a href="https://rdrr.io/r/base/UseMethod.html" class="external-link">NextMethod()</a></code> is what makes multiple extension packages
+compose gracefully. Suppose the class of <code>params</code> is
+<code>c("mizerFoo", "mizerShelf", "MizerParams")</code>, meaning
+<code>params</code> is simultaneously of type <code>mizerFoo</code>,
+type <code>mizerShelf</code>, and the base type
+<code>MizerParams</code>. Then calling <code>getBiomass(params)</code>
+proceeds like this:</p>
+<ol style="list-style-type: decimal">
+<li>R finds <code>getBiomass.mizerFoo</code> and calls it.</li>
+<li>
+<code>getBiomass.mizerFoo</code> calls
+<code><a href="https://rdrr.io/r/base/UseMethod.html" class="external-link">NextMethod()</a></code>.</li>
+<li>R finds <code>getBiomass.mizerShelf</code> and calls it.</li>
+<li>
+<code>getBiomass.mizerShelf</code> calls
+<code><a href="https://rdrr.io/r/base/UseMethod.html" class="external-link">NextMethod()</a></code>.</li>
+<li>R finds the standard mizer <code>getBiomass.MizerParams</code> and
+calls it.</li>
+<li>The standard result is returned to step 4, shelf biomasses are
+added, the result is returned to step 2, and <code>mizerFoo</code>’s
+biomasses are added on top.</li>
+</ol>
+<p>Each extension in the chain sees and extends the result of all the
+extensions below it. The chain grows automatically as packages are
+loaded, so the user does not need to coordinate anything manually.</p>
+<p>For this to work, <strong>every method must call
+<code><a href="https://rdrr.io/r/base/UseMethod.html" class="external-link">NextMethod()</a></code></strong> so it does not accidentally
+short-circuit the chain below it. The only exception is the base mizer
+method at the bottom of the chain.</p>
+</div>
+<div class="section level3">
+<h3 id="defining-marker-classes">Defining marker classes<a class="anchor" aria-label="anchor" href="#defining-marker-classes"></a>
+</h3>
+<p>To give your params objects a distinctive class label, you need to
+define an <strong>S4 marker class</strong> — a formal class that extends
+<code>MizerParams</code> but adds no new data. All extension-specific
+data lives in <code>other_params(params)</code> or in component
+parameters; the class is just a label.</p>
+<p>Place these calls in a file such as
+<code>R/myextension-class.R</code>:</p>
+<div class="sourceCode" id="cb3"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="co">#' @export</span></span>
+<span><span class="kw">setClass</span><span class="op">(</span><span class="st">"mizerShelf"</span>, contains <span class="op">=</span> <span class="st">"MizerParams"</span><span class="op">)</span></span>
+<span></span>
+<span><span class="co">#' @export</span></span>
+<span><span class="kw">setClass</span><span class="op">(</span><span class="st">"mizerShelfSim"</span>, contains <span class="op">=</span> <span class="st">"MizerSim"</span><span class="op">)</span></span></code></pre></div>
+<p>The params class name must match the name you pass to
+<code><a href="../reference/registerExtension.html">registerExtension()</a></code>. The sim class name must be the params
+class name with <code>"Sim"</code> appended. <code>MizerSim</code>
+objects are coerced to the sim class automatically by
+<code><a href="../reference/project.html">project()</a></code> once you record the extension chain in
+<code>params@extensions</code> (see below).</p>
+<p>If your extension is designed to stack on top of another (say
+<code>mizerBase</code>), inherit from that package’s class instead:</p>
+<div class="sourceCode" id="cb4"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="kw">setClass</span><span class="op">(</span><span class="st">"mizerOuter"</span>, contains <span class="op">=</span> <span class="st">"mizerBase"</span><span class="op">)</span></span>
+<span><span class="kw">setClass</span><span class="op">(</span><span class="st">"mizerOuterSim"</span>, contains <span class="op">=</span> <span class="st">"mizerBaseSim"</span><span class="op">)</span></span></code></pre></div>
+</div>
+<div class="section level3">
+<h3 id="registering-in--onload-1">Registering in <code>.onLoad</code><a class="anchor" aria-label="anchor" href="#registering-in--onload-1"></a>
+</h3>
+<p>The <code>.onLoad</code> hook for a dispatching extension is the same
+as for a metadata-only one:</p>
+<div class="sourceCode" id="cb5"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">.onLoad</span> <span class="op">&lt;-</span> <span class="kw">function</span><span class="op">(</span><span class="va">libname</span>, <span class="va">pkgname</span><span class="op">)</span> <span class="op">{</span></span>
+<span>  <span class="fu">mizer</span><span class="fu">::</span><span class="fu"><a href="../reference/registerExtension.html">registerExtension</a></span><span class="op">(</span><span class="va">pkgname</span>, requirement <span class="op">=</span> <span class="st">"owner/myExtensionPackage"</span><span class="op">)</span></span>
+<span><span class="op">}</span></span></code></pre></div>
+<p>When <code><a href="../reference/registerExtension.html">registerExtension()</a></code> is called, mizer prepends the
+extension to the session’s chain, giving it the highest dispatch
+priority. Because R always loads dependency packages before the package
+that depends on them, the dependent package ends up outermost. For
+example, if <code>mizerOuter</code> depends on
+<code>mizerShelf</code>:</p>
+<ol style="list-style-type: decimal">
+<li>R loads <code>mizerShelf</code>, its <code>.onLoad</code> fires →
+chain: <code>c(mizerShelf = "1.0.0")</code>
+</li>
+<li>R loads <code>mizerOuter</code>, its <code>.onLoad</code> fires →
+chain: <code>c(mizerOuter = "0.3.0", mizerShelf = "1.0.0")</code>
+</li>
+</ol>
+<p>The class hierarchy
+<code>c("mizerOuter", "mizerShelf", "MizerParams")</code> mirrors this
+chain, so dispatch proceeds in the right order automatically.</p>
+</div>
+<div class="section level3">
+<h3 id="writing-methods-that-call-nextmethod">Writing methods that call <code>NextMethod()</code><a class="anchor" aria-label="anchor" href="#writing-methods-that-call-nextmethod"></a>
+</h3>
+<p>Here is <code>getBiomass.mizerShelf</code> from mizerShelf. It calls
+<code><a href="https://rdrr.io/r/base/UseMethod.html" class="external-link">NextMethod()</a></code> first to get the standard mizer result, then
+appends the detritus and carrion biomasses:</p>
+<div class="sourceCode" id="cb6"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="co">#' @method getBiomass mizerShelf</span></span>
+<span><span class="co">#' @export</span></span>
+<span><span class="va">getBiomass.mizerShelf</span> <span class="op">&lt;-</span> <span class="kw">function</span><span class="op">(</span><span class="va">object</span>, <span class="va">...</span><span class="op">)</span> <span class="op">{</span></span>
+<span>    <span class="va">params</span> <span class="op">&lt;-</span> <span class="va">object</span></span>
+<span>    <span class="va">b</span> <span class="op">&lt;-</span> <span class="kw"><a href="https://rdrr.io/r/base/UseMethod.html" class="external-link">NextMethod</a></span><span class="op">(</span><span class="op">)</span>                       <span class="co"># standard species biomasses</span></span>
+<span></span>
+<span>    <span class="va">d_biomass</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/sum.html" class="external-link">sum</a></span><span class="op">(</span><span class="va">params</span><span class="op">@</span><span class="va">initial_n_pp</span> <span class="op">*</span></span>
+<span>                     <span class="va">params</span><span class="op">@</span><span class="va">dw_full</span> <span class="op">*</span> <span class="va">params</span><span class="op">@</span><span class="va">w_full</span><span class="op">)</span></span>
+<span>    <span class="va">b</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="va">b</span>, Detritus <span class="op">=</span> <span class="va">d_biomass</span><span class="op">)</span></span>
+<span></span>
+<span>    <span class="va">other</span> <span class="op">&lt;-</span> <span class="va">params</span><span class="op">@</span><span class="va">initial_n_other</span></span>
+<span>    <span class="va">scalar_other</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/funprog.html" class="external-link">Filter</a></span><span class="op">(</span><span class="kw">function</span><span class="op">(</span><span class="va">x</span><span class="op">)</span> <span class="fu"><a href="https://rdrr.io/r/base/numeric.html" class="external-link">is.numeric</a></span><span class="op">(</span><span class="va">x</span><span class="op">)</span> <span class="op">&amp;&amp;</span> <span class="fu"><a href="https://rdrr.io/r/base/length.html" class="external-link">length</a></span><span class="op">(</span><span class="va">x</span><span class="op">)</span> <span class="op">==</span> <span class="fl">1</span>, <span class="va">other</span><span class="op">)</span></span>
+<span>    <span class="kw">if</span> <span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/length.html" class="external-link">length</a></span><span class="op">(</span><span class="va">scalar_other</span><span class="op">)</span> <span class="op">&gt;</span> <span class="fl">0</span><span class="op">)</span> <span class="va">b</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="va">b</span>, <span class="fu"><a href="https://rdrr.io/r/base/unlist.html" class="external-link">unlist</a></span><span class="op">(</span><span class="va">scalar_other</span><span class="op">)</span><span class="op">)</span></span>
+<span>    <span class="va">b</span></span>
+<span><span class="op">}</span></span></code></pre></div>
+<p>Because <code><a href="../reference/plotBiomass.html">plotBiomass()</a></code> calls <code><a href="../reference/getBiomass.html">getBiomass()</a></code>
+internally, this single override makes biomass plots include detritus
+and carrion without any further changes.</p>
+<p>Always register S3 methods in your package’s <code>NAMESPACE</code>
+file. The roxygen2 <code>@method</code> tag does this for you
+automatically:</p>
+<div class="sourceCode" id="cb7"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="co">#' @method getBiomass mizerShelf</span></span>
+<span><span class="co">#' @export</span></span>
+<span><span class="va">getBiomass.mizerShelf</span> <span class="op">&lt;-</span> <span class="kw">function</span><span class="op">(</span><span class="va">object</span>, <span class="va">...</span><span class="op">)</span> <span class="op">{</span> <span class="va">...</span> <span class="op">}</span></span></code></pre></div>
+</div>
+<div class="section level3">
+<h3 id="creating-objects-the-two-commands">Creating objects: the two commands<a class="anchor" aria-label="anchor" href="#creating-objects-the-two-commands"></a>
+</h3>
+<p>A constructor function that returns a <code>mizerShelf</code> object
+must end with these two lines:</p>
+<div class="sourceCode" id="cb8"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">params</span><span class="op">@</span><span class="va">extensions</span> <span class="op">&lt;-</span> <span class="fu">mizer</span><span class="fu">::</span><span class="fu"><a href="../reference/getRegisteredExtensions.html">getRegisteredExtensions</a></span><span class="op">(</span><span class="op">)</span></span>
+<span><span class="va">params</span> <span class="op">&lt;-</span> <span class="fu">mizer</span><span class="fu">::</span><span class="fu"><a href="../reference/coerceToExtensionClass.html">coerceToExtensionClass</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span></span></code></pre></div>
+<p>Here is how <code>newDetritusCarrionParams()</code> uses them in
+mizerShelf:</p>
+<div class="sourceCode" id="cb9"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">newDetritusCarrionParams</span> <span class="op">&lt;-</span> <span class="kw">function</span><span class="op">(</span><span class="va">species_params</span>, <span class="va">...</span><span class="op">)</span> <span class="op">{</span></span>
+<span>    <span class="va">params</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/newMultispeciesParams.html">newMultispeciesParams</a></span><span class="op">(</span><span class="va">species_params</span>, <span class="va">...</span>,</span>
+<span>                                    resource_dynamics <span class="op">=</span> <span class="st">"detritus_dynamics"</span><span class="op">)</span></span>
+<span>    <span class="co"># ... set up rate functions, components, colours ...</span></span>
+<span></span>
+<span>    <span class="va">params</span><span class="op">@</span><span class="va">extensions</span> <span class="op">&lt;-</span> <span class="fu">mizer</span><span class="fu">::</span><span class="fu"><a href="../reference/getRegisteredExtensions.html">getRegisteredExtensions</a></span><span class="op">(</span><span class="op">)</span></span>
+<span>    <span class="va">params</span> <span class="op">&lt;-</span> <span class="fu">mizer</span><span class="fu">::</span><span class="fu"><a href="../reference/coerceToExtensionClass.html">coerceToExtensionClass</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span></span>
+<span><span class="op">}</span></span></code></pre></div>
+<div class="section level4">
+<h4 id="what-paramsextensions---getregisteredextensions-does">What <code>params@extensions &lt;- getRegisteredExtensions()</code>
+does<a class="anchor" aria-label="anchor" href="#what-paramsextensions---getregisteredextensions-does"></a>
+</h4>
+<p><code><a href="../reference/getRegisteredExtensions.html">getRegisteredExtensions()</a></code> returns the current session’s
+extension chain — everything that has been registered via
+<code>.onLoad</code> hooks since R started. Storing this in the params
+object is like stamping the object with a bill of materials: it records
+exactly which extension packages were active when the object was
+created.</p>
+<p>mizer uses this record in two ways:</p>
+<ul>
+<li>When the object is loaded from disk with <code><a href="../reference/saveParams.html">readParams()</a></code>,
+mizer checks that all the recorded extensions are installed in the
+current session and warns the user if any are missing or outdated.</li>
+<li>
+<code><a href="../reference/saveParams.html">readParams()</a></code> also calls
+<code><a href="../reference/coerceToExtensionClass.html">coerceToExtensionClass()</a></code> automatically, using
+<code>@extensions</code> to decide which S4 class to restore the object
+to.</li>
+</ul>
+<p>Note that <code>@extensions</code> records the <strong>full
+chain</strong> that was active at creation time, not just the outermost
+extension. If <code>mizerShelf</code> was the only registered extension,
+<code>@extensions</code> will be <code>c(mizerShelf = "1.0.0")</code>.
+If a further outer extension was also loaded, both appear in the chain.
+An object is always coerced to the class of the outermost extension in
+its own chain, so an object created with only <code>mizerShelf</code>
+registered will remain a <code>mizerShelf</code> object even if
+<code>mizerOuter</code> is also loaded in the current session.</p>
+</div>
+<div class="section level4">
+<h4 id="what-coercetoextensionclassparams-does">What <code>coerceToExtensionClass(params)</code> does<a class="anchor" aria-label="anchor" href="#what-coercetoextensionclassparams-does"></a>
+</h4>
+<p>At this point <code>params</code> is still a plain
+<code>MizerParams</code> object as far as R is concerned. If you called
+<code>getBiomass(params)</code> now, R would call the standard mizer
+<code>getBiomass.MizerParams</code> rather than
+<code>getBiomass.mizerShelf</code>.</p>
+<p><code><a href="../reference/coerceToExtensionClass.html">coerceToExtensionClass()</a></code> reads
+<code>params@extensions</code>, finds the outermost extension that
+provides a dispatch class, and promotes the object to that S4 class.
+After the call, <code>params</code> is of class
+<code>c("mizerShelf", "MizerParams")</code>, and R will dispatch to
+<code>getBiomass.mizerShelf</code> automatically.</p>
+<p>This step cannot be replaced with a simple
+<code>class(params) &lt;- "mizerShelf"</code>: because
+<code>MizerParams</code> is a formal S4 class, R enforces the class
+hierarchy strictly and the direct assignment would fail.
+<code><a href="../reference/coerceToExtensionClass.html">coerceToExtensionClass()</a></code> uses the appropriate S4 machinery
+internally.</p>
+</div>
+</div>
+<div class="section level3">
+<h3 id="what-about-mizersim-objects">What about <code>MizerSim</code> objects?<a class="anchor" aria-label="anchor" href="#what-about-mizersim-objects"></a>
+</h3>
+<p>You do not need to call <code><a href="../reference/coerceToExtensionClass.html">coerceToExtensionClass()</a></code>
+yourself for <code>MizerSim</code> objects. When <code><a href="../reference/project.html">project()</a></code>
+creates its output it calls <code><a href="../reference/MizerSim.html">MizerSim()</a></code>, which in turn calls
+<code><a href="../reference/coerceToExtensionClass.html">coerceToExtensionClass()</a></code> on the new sim object. Because the
+<code>params</code> slot inside the sim already has
+<code>@extensions</code> set, mizer knows to promote the sim to
+<code>mizerShelfSim</code> automatically.</p>
+<p>This means that after:</p>
+<div class="sourceCode" id="cb10"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">sim</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/project.html">project</a></span><span class="op">(</span><span class="va">NWMed_params</span>, t_max <span class="op">=</span> <span class="fl">3</span><span class="op">)</span></span></code></pre></div>
+<p><code>sim</code> is already of class <code>mizerShelfSim</code>, and
+any method you have defined for that class — such as
+<code>getBiomass.mizerShelfSim</code> — will be dispatched
+automatically.</p>
+</div>
+</div>
+<div class="section level2">
+<h2 id="checklist-for-package-authors">Checklist for package authors<a class="anchor" aria-label="anchor" href="#checklist-for-package-authors"></a>
+</h2>
+<p>When building a dispatching extension package, verify the
+following:</p>
+<ul class="task-list">
+<li><label><input type="checkbox">Define both
+<code>setClass("&lt;myExtension&gt;", contains = "MizerParams")</code>
+and
+<code>setClass("&lt;myExtension&gt;Sim", contains = "MizerSim")</code>
+with no new slots.</label></li>
+<li><label><input type="checkbox">Call
+<code>mizer::registerExtension(pkgname, requirement = ...)</code> in
+<code>.onLoad</code>.</label></li>
+<li><label><input type="checkbox">End every constructor with
+<code>params@extensions &lt;- getRegisteredExtensions()</code> and
+<code>coerceToExtensionClass(params)</code>.</label></li>
+<li><label><input type="checkbox">Register every S3 method in
+<code>NAMESPACE</code> (via <code>@method</code> +
+<code>@export</code>).</label></li>
+<li><label><input type="checkbox">Call <code><a href="https://rdrr.io/r/base/UseMethod.html" class="external-link">NextMethod()</a></code> in
+every method override.</label></li>
+<li><label><input type="checkbox">Store all extension-specific state
+in <code>other_params(params)</code> or component parameters, not in new
+S4 slots.</label></li>
+</ul>
+<p>For metadata-only packages, only the second and third items apply
+(and <code><a href="../reference/coerceToExtensionClass.html">coerceToExtensionClass()</a></code> is not needed — just record
+<code>params@extensions &lt;- getRegisteredExtensions()</code>).</p>
+</div>
+<div class="section level2">
+<h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a>
+</h2>
+<ul>
+<li>
+<code><a href="../articles/extensions.html">vignette("extensions", package = "mizer")</a></code> for the full
+menu of extension mechanisms (custom rate functions, components,
+subclassing, and more).</li>
+<li><code><a href="../reference/registerExtension.html">?registerExtension</a></code></li>
+<li><code><a href="../reference/getRegisteredExtensions.html">?getRegisteredExtensions</a></code></li>
+<li><code><a href="../reference/coerceToExtensionClass.html">?coerceToExtensionClass</a></code></li>
+</ul>
+</div>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside>
+</div>
+
+
+
+    <footer><div class="pkgdown-footer-left">
+  <p>Developed by <a href="https://www.york.ac.uk/maths/staff/gustav-delius/" class="external-link">Gustav Delius</a>, Finlay Scott, <a href="http://www.utas.edu.au/profiles/staff/imas/julia-blanchard" class="external-link">Julia Blanchard</a>, <a href="https://ken.haste.dk/" class="external-link">Ken Andersen</a>.</p>
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diff --git a/docs/articles/extensions.html b/docs/articles/extensions.html
new file mode 100644
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+    <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
+    <li><hr class="dropdown-divider"></li>
+    <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
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+    <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
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+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Extending mizer</h1>
+            
+      
+      <small class="dont-index">Source: <a href="https://github.com/sizespectrum/mizer/blob/HEAD/vignettes/extensions.Rmd" class="external-link"><code>vignettes/extensions.Rmd</code></a></small>
+      <div class="d-none name"><code>extensions.Rmd</code></div>
+    </div>
+
+    
+    
+<div class="section level2">
+<h2 id="overview">Overview<a class="anchor" aria-label="anchor" href="#overview"></a>
+</h2>
+<p>This vignette is for users who want to change how mizer works without
+editing the package source code. There are five main extension
+routes:</p>
+<ol style="list-style-type: decimal">
+<li>Use <code><a href="../reference/setExtEncounter.html">setExtEncounter()</a></code> or <code><a href="../reference/setExtMort.html">setExtMort()</a></code> when
+you want to add simple external food or mortality sources that do not
+need their own dynamics.</li>
+<li>Use <code><a href="../reference/setRateFunction.html">setRateFunction()</a></code> when you want to replace one of
+the standard rate calculations such as encounter, growth, mortality, or
+recruitment.</li>
+<li>Use <code><a href="../reference/setComponent.html">setComponent()</a></code> when you want to add a new ecosystem
+component such as detritus, carrion, or an extra resource pool.</li>
+<li>Use S3 subclassing of <code>MizerParams</code> and
+<code>MizerSim</code> when you want to extend generic mizer methods such
+as plotting or summaries for a custom model type.</li>
+<li>Use <code><a href="../reference/customFunction.html">customFunction()</a></code> only as a last resort when neither
+of the first four mechanisms is sufficient.</li>
+</ol>
+<p>The safest workflow is to start with the smallest change that can
+express your idea. In particular, if you only need to change one rate,
+prefer <code><a href="../reference/setRateFunction.html">setRateFunction()</a></code> over replacing
+<code><a href="../reference/mizerRates.html">mizerRates()</a></code> or patching internal mizer functions.</p>
+</div>
+<div class="section level2">
+<h2 id="choosing-an-extension-mechanism">Choosing an extension mechanism<a class="anchor" aria-label="anchor" href="#choosing-an-extension-mechanism"></a>
+</h2>
+<p>The following table is a quick guide.</p>
+<table class="table">
+<colgroup>
+<col width="29%">
+<col width="21%">
+<col width="49%">
+</colgroup>
+<thead><tr class="header">
+<th align="left">Goal</th>
+<th align="left">Use</th>
+<th align="left">Notes</th>
+</tr></thead>
+<tbody>
+<tr class="odd">
+<td align="left">Add a non-dynamical external food or mortality
+source</td>
+<td align="left">
+<code><a href="../reference/setExtEncounter.html">setExtEncounter()</a></code> or
+<code><a href="../reference/setExtMort.html">setExtMort()</a></code>
+</td>
+<td align="left">Simplest route when the extra process does not need its
+own state variable.</td>
+</tr>
+<tr class="even">
+<td align="left">Change one built-in rate calculation</td>
+<td align="left"><code><a href="../reference/setRateFunction.html">setRateFunction()</a></code></td>
+<td align="left">Best option for time-dependent or alternative rate
+formulations.</td>
+</tr>
+<tr class="odd">
+<td align="left">Add a new state variable or ecosystem pool</td>
+<td align="left"><code><a href="../reference/setComponent.html">setComponent()</a></code></td>
+<td align="left">Lets you add component dynamics and optional encounter
+or mortality contributions.</td>
+</tr>
+<tr class="even">
+<td align="left">Extend plots or summaries for a custom model type</td>
+<td align="left">S3 subclass + new methods</td>
+<td align="left">Advanced route for custom behaviour layered on top of
+mizer generics.</td>
+</tr>
+<tr class="odd">
+<td align="left">Store parameters needed by your custom code</td>
+<td align="left">
+<code><a href="../reference/setRateFunction.html">other_params()</a></code> or
+<code>component_params</code>
+</td>
+<td align="left">Use <code><a href="../reference/setRateFunction.html">other_params()</a></code> for model-wide
+parameters and <code>component_params</code> for one component.</td>
+</tr>
+<tr class="even">
+<td align="left">Replace arbitrary internal mizer code</td>
+<td align="left"><code><a href="../reference/customFunction.html">customFunction()</a></code></td>
+<td align="left">Experimental and fragile. Use only if the standard
+mechanisms cannot express your change.</td>
+</tr>
+</tbody>
+</table>
+<div class="section level3">
+<h3 id="setextencounter-and-setextmort">
+<code>setExtEncounter()</code> and <code>setExtMort()</code><a class="anchor" aria-label="anchor" href="#setextencounter-and-setextmort"></a>
+</h3>
+<p>These are the lightest-weight extension mechanisms. They are useful
+when you want to represent ecosystem processes that affect fish but do
+not need a separate state variable or their own dynamics.</p>
+<p>Typical uses are:</p>
+<ul>
+<li>extra food sources that are not modelled explicitly, via
+<code><a href="../reference/setExtEncounter.html">setExtEncounter()</a></code>,</li>
+<li>mortality from predators that are outside the model, via
+<code><a href="../reference/setExtMort.html">setExtMort()</a></code>.</li>
+</ul>
+<p>Both quantities are species x size arrays:</p>
+<ul>
+<li>
+<code>ext_encounter</code> has units of mass per year and is added
+directly to <code><a href="../reference/getEncounter.html">getEncounter()</a></code>,</li>
+<li>
+<code>ext_mort</code> has units of <code>1/year</code> and
+contributes directly to mortality.</li>
+</ul>
+<p>If you only need a fixed background contribution, this is usually a
+better choice than <code><a href="../reference/setComponent.html">setComponent()</a></code>. See <a href="#worked-example-non-dynamical-external-encounter-and-mortality">Worked
+example: non-dynamical external encounter and mortality</a>.</p>
+</div>
+<div class="section level3">
+<h3 id="setratefunction">
+<code>setRateFunction()</code><a class="anchor" aria-label="anchor" href="#setratefunction"></a>
+</h3>
+<p>Use <code><a href="../reference/setRateFunction.html">setRateFunction()</a></code> when your model still fits mizer’s
+standard flow of rate calculations, but one step should be done
+differently. Examples include:</p>
+<ul>
+<li>making encounter or mortality explicitly time-dependent,</li>
+<li>using an alternative growth or reproduction formulation,</li>
+<li>swapping in a different recruitment density-dependence,</li>
+<li>replacing the whole <code><a href="../reference/mizerRates.html">mizerRates()</a></code> pipeline with a custom
+version.</li>
+</ul>
+<p>Your function is registered by name:</p>
+<div class="sourceCode" id="cb1"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">params</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/setRateFunction.html">setRateFunction</a></span><span class="op">(</span><span class="va">params</span>, <span class="st">"Mort"</span>, <span class="st">"myMort"</span><span class="op">)</span></span></code></pre></div>
+<p>The function must be available by name in the global environment or
+in an installed package. mizer stores the function name, not the
+function object. See <a href="#worked-example-a-custom-encounter-function">Worked example: a
+custom encounter function</a>.</p>
+</div>
+<div class="section level3">
+<h3 id="setcomponent">
+<code>setComponent()</code><a class="anchor" aria-label="anchor" href="#setcomponent"></a>
+</h3>
+<p>Use <code><a href="../reference/setComponent.html">setComponent()</a></code> when your model needs an additional
+dynamical quantity that is not already represented in
+<code>MizerParams</code>, for example detritus, carrion, an oxygen pool,
+or a second resource spectrum.</p>
+<p>A component can contribute to the model in up to three ways:</p>
+<ul>
+<li>
+<code>dynamics_fun</code> updates the component itself during
+projection,</li>
+<li>
+<code>encounter_fun</code> adds to <code><a href="../reference/getEncounter.html">getEncounter()</a></code>,</li>
+<li>
+<code>mort_fun</code> adds to <code><a href="../reference/getMort.html">getMort()</a></code>.</li>
+</ul>
+<p>The component state can be any R object. For example it can be a
+scalar, a vector on the resource size grid, or a list with several
+fields. See <a href="#worked-example-adding-a-detritus-like-component">Worked example:
+adding a detritus-like component</a>.</p>
+</div>
+<div class="section level3">
+<h3 id="s4-subclassing-with-s3-methods-for-mizerparams-and-mizersim">S4 subclassing with S3 methods for <code>MizerParams</code> and
+<code>MizerSim</code><a class="anchor" aria-label="anchor" href="#s4-subclassing-with-s3-methods-for-mizerparams-and-mizersim"></a>
+</h3>
+<p>This is the most flexible extension route that still works with
+mizer’s public generic functions. Although <code>MizerParams</code> and
+<code>MizerSim</code> are S4 classes, mizer registers many user-facing
+methods as S3 methods. That means extension package authors can define a
+formal S4 subclass of these objects and then provide S3 methods for that
+subclass such as:</p>
+<ul>
+<li>
+<code>plotBiomass.MyMizerSim()</code>,</li>
+<li>
+<code>summary.MyMizerParams()</code>,</li>
+<li>
+<code>getBiomass.MyMizerSim()</code>.</li>
+</ul>
+<p>This is especially useful if you have added extra components or
+metadata and want mizer’s summaries or plots to include them. Because
+multiple extension packages may all want to modify the same function,
+each method should call <code><a href="https://rdrr.io/r/base/UseMethod.html" class="external-link">NextMethod()</a></code> so that the
+contributions compose correctly.</p>
+<p>See <code><a href="../articles/extension-packages.html">vignette("extension-packages", package = "mizer")</a></code>
+for a step-by-step guide.</p>
+</div>
+<div class="section level3">
+<h3 id="customfunction">
+<code>customFunction()</code><a class="anchor" aria-label="anchor" href="#customfunction"></a>
+</h3>
+<p>Use <code><a href="../reference/customFunction.html">customFunction()</a></code> only if you have confirmed that
+your goal cannot be expressed with <code><a href="../reference/setRateFunction.html">setRateFunction()</a></code>,
+<code><a href="../reference/setComponent.html">setComponent()</a></code>, <code>resource_dynamics()&lt;-</code>, or
+<code><a href="../reference/setReproduction.html">setReproduction()</a></code>. It replaces an internal mizer function
+in the package namespace and can easily break the package if your
+replacement is not fully compatible.</p>
+</div>
+</div>
+<div class="section level2">
+<h2 id="worked-example-non-dynamical-external-encounter-and-mortality">Worked example: non-dynamical external encounter and mortality<a class="anchor" aria-label="anchor" href="#worked-example-non-dynamical-external-encounter-and-mortality"></a>
+</h2>
+<p>If the extra ecological process does not need its own state variable,
+you can often model it with external encounter or external
+mortality.</p>
+<p>For example, suppose each species has a fixed extra food source that
+scales allometrically with body size:</p>
+<div class="sourceCode" id="cb2"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">params_ext</span> <span class="op">&lt;-</span> <span class="va">NS_params</span></span>
+<span><span class="va">extra_food</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/outer.html" class="external-link">outer</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/rep.html" class="external-link">rep</a></span><span class="op">(</span><span class="fl">0.1</span>, <span class="fu"><a href="https://rdrr.io/r/base/nrow.html" class="external-link">nrow</a></span><span class="op">(</span><span class="fu"><a href="../reference/species_params.html">species_params</a></span><span class="op">(</span><span class="va">params_ext</span><span class="op">)</span><span class="op">)</span><span class="op">)</span>,</span>
+<span>                    <span class="fu"><a href="../reference/w.html">w</a></span><span class="op">(</span><span class="va">params_ext</span><span class="op">)</span><span class="op">^</span><span class="op">(</span><span class="fl">3</span><span class="op">/</span><span class="fl">4</span><span class="op">)</span><span class="op">)</span></span>
+<span><span class="fu"><a href="../reference/setExtEncounter.html">ext_encounter</a></span><span class="op">(</span><span class="va">params_ext</span><span class="op">)</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/setExtEncounter.html">ext_encounter</a></span><span class="op">(</span><span class="va">params_ext</span><span class="op">)</span> <span class="op">+</span> <span class="va">extra_food</span></span></code></pre></div>
+<p>This adds <code>extra_food</code> directly to the total encounter
+rate:</p>
+<div class="sourceCode" id="cb3"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">enc_base</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/getEncounter.html">getEncounter</a></span><span class="op">(</span><span class="va">NS_params</span><span class="op">)</span></span>
+<span><span class="va">enc_ext</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/getEncounter.html">getEncounter</a></span><span class="op">(</span><span class="va">params_ext</span><span class="op">)</span></span>
+<span><span class="fu"><a href="https://rdrr.io/r/base/range.html" class="external-link">range</a></span><span class="op">(</span><span class="va">enc_ext</span> <span class="op">-</span> <span class="va">enc_base</span>, na.rm <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
+<span><span class="co">#&gt; [1] 5.623413e-04 2.820537e+02</span></span></code></pre></div>
+<p>Similarly, you can add a fixed external mortality term:</p>
+<div class="sourceCode" id="cb4"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">params_mort</span> <span class="op">&lt;-</span> <span class="va">NS_params</span></span>
+<span><span class="va">extra_mort</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/outer.html" class="external-link">outer</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/rep.html" class="external-link">rep</a></span><span class="op">(</span><span class="fl">0.05</span>, <span class="fu"><a href="https://rdrr.io/r/base/nrow.html" class="external-link">nrow</a></span><span class="op">(</span><span class="fu"><a href="../reference/species_params.html">species_params</a></span><span class="op">(</span><span class="va">params_mort</span><span class="op">)</span><span class="op">)</span><span class="op">)</span>,</span>
+<span>                    <span class="fu"><a href="../reference/w.html">w</a></span><span class="op">(</span><span class="va">params_mort</span><span class="op">)</span><span class="op">^</span><span class="op">(</span><span class="op">-</span><span class="fl">1</span><span class="op">/</span><span class="fl">4</span><span class="op">)</span><span class="op">)</span></span>
+<span><span class="fu"><a href="../reference/setExtMort.html">ext_mort</a></span><span class="op">(</span><span class="va">params_mort</span><span class="op">)</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/setExtMort.html">ext_mort</a></span><span class="op">(</span><span class="va">params_mort</span><span class="op">)</span> <span class="op">+</span> <span class="va">extra_mort</span></span></code></pre></div>
+<p>This route is appropriate when:</p>
+<ul>
+<li>the extra process is not depleted or replenished dynamically,</li>
+<li>fish are affected by it but do not feed back on it,</li>
+<li>you want a transparent species x size term rather than a new
+component.</li>
+</ul>
+</div>
+<div class="section level2">
+<h2 id="worked-example-a-custom-encounter-function">Worked example: a custom encounter function<a class="anchor" aria-label="anchor" href="#worked-example-a-custom-encounter-function"></a>
+</h2>
+<p>The next step up in complexity is to modify one rate while delegating
+most of the work back to the built-in mizer function. The example below
+adds a sinusoidal seasonal multiplier to the standard encounter
+rate.</p>
+<div class="sourceCode" id="cb5"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">params</span> <span class="op">&lt;-</span> <span class="va">NS_params</span></span>
+<span><span class="fu"><a href="../reference/setRateFunction.html">other_params</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span></span>
+<span>    season_amplitude <span class="op">=</span> <span class="fl">0.2</span>,</span>
+<span>    season_period <span class="op">=</span> <span class="fl">1</span></span>
+<span><span class="op">)</span></span></code></pre></div>
+<div class="sourceCode" id="cb6"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">seasonalEncounter</span> <span class="op">&lt;-</span> <span class="kw">function</span><span class="op">(</span><span class="va">params</span>, <span class="va">n</span>, <span class="va">n_pp</span>, <span class="va">n_other</span>, <span class="va">t</span>, <span class="va">...</span><span class="op">)</span> <span class="op">{</span></span>
+<span>    <span class="va">p</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/setRateFunction.html">other_params</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span></span>
+<span>    <span class="va">multiplier</span> <span class="op">&lt;-</span> <span class="fl">1</span> <span class="op">+</span> <span class="va">p</span><span class="op">$</span><span class="va">season_amplitude</span> <span class="op">*</span> <span class="fu"><a href="https://rdrr.io/r/base/Trig.html" class="external-link">sin</a></span><span class="op">(</span><span class="fl">2</span> <span class="op">*</span> <span class="va">pi</span> <span class="op">*</span> <span class="va">t</span> <span class="op">/</span> <span class="va">p</span><span class="op">$</span><span class="va">season_period</span><span class="op">)</span></span>
+<span>    <span class="va">multiplier</span> <span class="op">*</span> <span class="fu"><a href="../reference/mizerEncounter.html">mizerEncounter</a></span><span class="op">(</span><span class="va">params</span>, n <span class="op">=</span> <span class="va">n</span>, n_pp <span class="op">=</span> <span class="va">n_pp</span>, n_other <span class="op">=</span> <span class="va">n_other</span>,</span>
+<span>                                t <span class="op">=</span> <span class="va">t</span>, <span class="va">...</span><span class="op">)</span></span>
+<span><span class="op">}</span></span></code></pre></div>
+<p>Register the function and inspect the result:</p>
+<div class="sourceCode" id="cb7"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">params2</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/setRateFunction.html">setRateFunction</a></span><span class="op">(</span><span class="va">params</span>, <span class="st">"Encounter"</span>, <span class="st">"seasonalEncounter"</span><span class="op">)</span></span></code></pre></div>
+<div class="sourceCode" id="cb8"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">enc0</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/getEncounter.html">getEncounter</a></span><span class="op">(</span><span class="va">params2</span>, t <span class="op">=</span> <span class="fl">0</span><span class="op">)</span></span>
+<span><span class="va">enc_quarter</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/getEncounter.html">getEncounter</a></span><span class="op">(</span><span class="va">params2</span>, t <span class="op">=</span> <span class="fl">0.25</span><span class="op">)</span></span>
+<span><span class="fu"><a href="https://rdrr.io/r/base/range.html" class="external-link">range</a></span><span class="op">(</span><span class="va">enc_quarter</span> <span class="op">/</span> <span class="va">enc0</span>, na.rm <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
+<span><span class="co">#&gt; [1] 1.2 1.2</span></span></code></pre></div>
+<div class="sourceCode" id="cb9"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">sim</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/project.html">project</a></span><span class="op">(</span><span class="va">params2</span>, t_max <span class="op">=</span> <span class="fl">2</span>, t_save <span class="op">=</span> <span class="fl">0.1</span><span class="op">)</span></span>
+<span><span class="fu"><a href="../reference/plotBiomass.html">plotBiomass</a></span><span class="op">(</span><span class="va">sim</span><span class="op">)</span></span></code></pre></div>
+<p><img src="extensions_files/figure-html/seasonal-biomass-1.png" class="r-plt" alt="" width="700"></p>
+<p>This pattern is often the easiest way to extend mizer safely:</p>
+<ul>
+<li>fetch custom parameters from <code>other_params(params)</code>,</li>
+<li>compute a modifier,</li>
+<li>call the standard mizer rate function,</li>
+<li>return a plain numeric matrix of the same shape.</li>
+</ul>
+<p>See <a href="#how-custom-rate-functions-are-called">How custom rate
+functions are called</a> for more info.</p>
+<div class="section level3">
+<h3 id="testing-a-custom-rate-function">Testing a custom rate function<a class="anchor" aria-label="anchor" href="#testing-a-custom-rate-function"></a>
+</h3>
+<p>When you develop an extension package, add tests that compare your
+custom rate function to the built-in behaviour in a simple case. For the
+seasonal example a good first test would check:</p>
+<ul>
+<li>at <code>t = 0</code>, the result equals
+<code><a href="../reference/mizerEncounter.html">mizerEncounter()</a></code>,</li>
+<li>at <code>t = 0.25</code>, the result is scaled by
+<code>1 + season_amplitude</code>,</li>
+<li>the returned object has the same dimensions and dimnames as
+<code>initialN(params)</code>.</li>
+</ul>
+</div>
+</div>
+<div class="section level2">
+<h2 id="worked-example-adding-a-detritus-like-component">Worked example: adding a detritus-like component<a class="anchor" aria-label="anchor" href="#worked-example-adding-a-detritus-like-component"></a>
+</h2>
+<p>Now suppose you want to add a component that is consumed by fish and
+slowly relaxes back to a carrying capacity. We will store the component
+on the full resource size grid so that it can be used like an extra prey
+spectrum.</p>
+<div class="sourceCode" id="cb10"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">detritusEncounter</span> <span class="op">&lt;-</span> <span class="kw">function</span><span class="op">(</span><span class="va">params</span>, <span class="va">n</span>, <span class="va">n_pp</span>, <span class="va">n_other</span>, <span class="va">component</span>, <span class="va">...</span><span class="op">)</span> <span class="op">{</span></span>
+<span>    <span class="va">params2</span> <span class="op">&lt;-</span> <span class="va">params</span></span>
+<span>    <span class="va">params2</span><span class="op">@</span><span class="va">other_encounter</span><span class="op">[[</span><span class="va">component</span><span class="op">]</span><span class="op">]</span> <span class="op">&lt;-</span> <span class="cn">NULL</span></span>
+<span>    <span class="fu"><a href="../reference/mizerEncounter.html">mizerEncounter</a></span><span class="op">(</span><span class="va">params2</span>, n <span class="op">=</span> <span class="va">n</span>, n_pp <span class="op">=</span> <span class="va">n_other</span><span class="op">[[</span><span class="va">component</span><span class="op">]</span><span class="op">]</span>,</span>
+<span>                   n_other <span class="op">=</span> <span class="va">n_other</span>, <span class="va">...</span><span class="op">)</span></span>
+<span><span class="op">}</span></span>
+<span></span>
+<span><span class="va">detritusDynamics</span> <span class="op">&lt;-</span> <span class="kw">function</span><span class="op">(</span><span class="va">params</span>, <span class="va">n_other</span>, <span class="va">rates</span>, <span class="va">dt</span>, <span class="va">component</span>, <span class="va">...</span><span class="op">)</span> <span class="op">{</span></span>
+<span>    <span class="va">detritus</span> <span class="op">&lt;-</span> <span class="va">n_other</span><span class="op">[[</span><span class="va">component</span><span class="op">]</span><span class="op">]</span></span>
+<span>    <span class="va">p</span> <span class="op">&lt;-</span> <span class="va">params</span><span class="op">@</span><span class="va">other_params</span><span class="op">[[</span><span class="va">component</span><span class="op">]</span><span class="op">]</span></span>
+<span>    <span class="va">interaction</span> <span class="op">&lt;-</span> <span class="va">params</span><span class="op">@</span><span class="va">species_params</span><span class="op">$</span><span class="va">interaction_resource</span></span>
+<span>    <span class="va">mort</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/vector.html" class="external-link">as.vector</a></span><span class="op">(</span><span class="va">interaction</span> <span class="op"><a href="https://rdrr.io/r/base/matmult.html" class="external-link">%*%</a></span> <span class="va">rates</span><span class="op">$</span><span class="va">pred_rate</span><span class="op">)</span></span>
+<span>    <span class="va">target</span> <span class="op">&lt;-</span> <span class="va">p</span><span class="op">$</span><span class="va">rate</span> <span class="op">*</span> <span class="va">p</span><span class="op">$</span><span class="va">capacity</span> <span class="op">/</span> <span class="op">(</span><span class="va">p</span><span class="op">$</span><span class="va">rate</span> <span class="op">+</span> <span class="va">mort</span><span class="op">)</span></span>
+<span>    <span class="va">target</span> <span class="op">-</span> <span class="op">(</span><span class="va">target</span> <span class="op">-</span> <span class="va">detritus</span><span class="op">)</span> <span class="op">*</span> <span class="fu"><a href="https://rdrr.io/r/base/Log.html" class="external-link">exp</a></span><span class="op">(</span><span class="op">-</span><span class="op">(</span><span class="va">p</span><span class="op">$</span><span class="va">rate</span> <span class="op">+</span> <span class="va">mort</span><span class="op">)</span> <span class="op">*</span> <span class="va">dt</span><span class="op">)</span></span>
+<span><span class="op">}</span></span></code></pre></div>
+<div class="sourceCode" id="cb11"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">detritus_params</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span></span>
+<span>    capacity <span class="op">=</span> <span class="fu"><a href="../reference/initialNResource-set.html">initialNResource</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span>,</span>
+<span>    rate <span class="op">=</span> <span class="va">params</span><span class="op">@</span><span class="va">rr_pp</span></span>
+<span><span class="op">)</span></span>
+<span></span>
+<span><span class="va">params3</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/setComponent.html">setComponent</a></span><span class="op">(</span></span>
+<span>    <span class="va">params</span>,</span>
+<span>    component <span class="op">=</span> <span class="st">"Detritus"</span>,</span>
+<span>    initial_value <span class="op">=</span> <span class="fu"><a href="../reference/initialNResource-set.html">initialNResource</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span> <span class="op">/</span> <span class="fl">2</span>,</span>
+<span>    dynamics_fun <span class="op">=</span> <span class="st">"detritusDynamics"</span>,</span>
+<span>    encounter_fun <span class="op">=</span> <span class="st">"detritusEncounter"</span>,</span>
+<span>    component_params <span class="op">=</span> <span class="va">detritus_params</span>,</span>
+<span>    colour <span class="op">=</span> <span class="st">"orange"</span></span>
+<span><span class="op">)</span></span></code></pre></div>
+<p>Once the component has been added:</p>
+<ul>
+<li>its initial state is available via
+<code>initialNOther(params3)$detritus</code>,</li>
+<li>its settings can be inspected with
+<code>getComponent(params3, "detritus")</code>,</li>
+<li>its contribution is included automatically in
+<code><a href="../reference/getEncounter.html">getEncounter()</a></code> and <code><a href="../reference/getDiet.html">getDiet()</a></code>.</li>
+</ul>
+<p>For example:</p>
+<div class="sourceCode" id="cb12"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="fu"><a href="../reference/plotDiet.html">plotDiet</a></span><span class="op">(</span><span class="va">params3</span>, species <span class="op">=</span> <span class="st">"Cod"</span><span class="op">)</span></span></code></pre></div>
+<p><img src="extensions_files/figure-html/detritus-diet-1.png" class="r-plt" alt="" width="700"></p>
+<p>If you also want the component to contribute to mortality, add a
+<code>mort_fun</code> when calling <code><a href="../reference/setComponent.html">setComponent()</a></code>.</p>
+</div>
+<div class="section level2">
+<h2 id="s4-subclassing-with-s3-method-dispatch">S4 subclassing with S3 method dispatch<a class="anchor" aria-label="anchor" href="#s4-subclassing-with-s3-method-dispatch"></a>
+</h2>
+<p>When an extension needs to change how generic mizer functions behave
+— for example making <code><a href="../reference/getBiomass.html">getBiomass()</a></code> include extra components,
+or making <code><a href="../reference/plotBiomass.html">plotBiomass()</a></code> show additional panels — the right
+approach is to define a marker S4 subclass and register S3 methods for
+that class. This makes multiple extension packages composable: each
+package adds its own step and passes control to the next via
+<code><a href="https://rdrr.io/r/base/UseMethod.html" class="external-link">NextMethod()</a></code>.</p>
+<p>For a step-by-step guide to writing this kind of extension package,
+including worked examples from <a href="https://github.com/sizespectrum/mizerStarvation" class="external-link">mizerStarvation</a>
+and <a href="https://github.com/sizespectrum/mizerShelf" class="external-link">mizerShelf</a>,
+see <code><a href="../articles/extension-packages.html">vignette("extension-packages", package = "mizer")</a></code>.</p>
+</div>
+<div class="section level2">
+<h2 id="how-custom-rate-functions-are-called">How custom rate functions are called<a class="anchor" aria-label="anchor" href="#how-custom-rate-functions-are-called"></a>
+</h2>
+<p>Each overridable rate has its own expected function signature and
+return shape. The most important point is that custom rate functions
+should return plain numeric objects, not <code>ArraySpeciesBySize</code>
+or <code>ArraySpeciesByTime</code> objects. The <code>get*()</code>
+wrappers add those classes afterwards where appropriate.</p>
+<p>The table below summarises the required inputs and outputs.</p>
+<table class="table">
+<colgroup>
+<col width="12%">
+<col width="54%">
+<col width="33%">
+</colgroup>
+<thead><tr class="header">
+<th align="left">Rate</th>
+<th align="left">Signature</th>
+<th align="left">Return value</th>
+</tr></thead>
+<tbody>
+<tr class="odd">
+<td align="left">Encounter</td>
+<td align="left">function(params, n, n_pp, n_other, t, …)</td>
+<td align="left">numeric matrix, species x size</td>
+</tr>
+<tr class="even">
+<td align="left">FeedingLevel</td>
+<td align="left">function(params, n, n_pp, n_other, t, encounter,
+…)</td>
+<td align="left">numeric matrix, species x size</td>
+</tr>
+<tr class="odd">
+<td align="left">EReproAndGrowth</td>
+<td align="left">function(params, n, n_pp, n_other, t, encounter,
+feeding_level, …)</td>
+<td align="left">numeric matrix, species x size</td>
+</tr>
+<tr class="even">
+<td align="left">ERepro</td>
+<td align="left">function(params, n, n_pp, n_other, t, e, …)</td>
+<td align="left">numeric matrix, species x size</td>
+</tr>
+<tr class="odd">
+<td align="left">EGrowth</td>
+<td align="left">function(params, n, n_pp, n_other, t, e, e_repro,
+…)</td>
+<td align="left">numeric matrix, species x size</td>
+</tr>
+<tr class="even">
+<td align="left">PredRate</td>
+<td align="left">function(params, n, n_pp, n_other, t, feeding_level,
+…)</td>
+<td align="left">numeric matrix, species x full size grid</td>
+</tr>
+<tr class="odd">
+<td align="left">PredMort</td>
+<td align="left">function(params, n, n_pp, n_other, t, pred_rate,
+…)</td>
+<td align="left">numeric matrix, species x size</td>
+</tr>
+<tr class="even">
+<td align="left">FMort</td>
+<td align="left">function(params, n, n_pp, n_other, t, effort, e_growth,
+pred_mort, …)</td>
+<td align="left">numeric matrix, species x size</td>
+</tr>
+<tr class="odd">
+<td align="left">Mort</td>
+<td align="left">function(params, n, n_pp, n_other, t, f_mort,
+pred_mort, …)</td>
+<td align="left">numeric matrix, species x size</td>
+</tr>
+<tr class="even">
+<td align="left">RDI</td>
+<td align="left">function(params, n, n_pp, n_other, t, e_growth, mort,
+e_repro, …)</td>
+<td align="left">numeric vector, one value per species</td>
+</tr>
+<tr class="odd">
+<td align="left">RDD</td>
+<td align="left">function(rdi, species_params, params, t, …)</td>
+<td align="left">numeric vector, one value per species</td>
+</tr>
+<tr class="even">
+<td align="left">ResourceMort</td>
+<td align="left">function(params, n, n_pp, n_other, t, pred_rate,
+…)</td>
+<td align="left">numeric vector, one value per full size bin</td>
+</tr>
+<tr class="odd">
+<td align="left">Rates</td>
+<td align="left">function(params, n, n_pp, n_other, t, effort,
+rates_fns, …)</td>
+<td align="left">named list with all standard rate components</td>
+</tr>
+</tbody>
+</table>
+<div class="section level3">
+<h3 id="common-arguments">Common arguments<a class="anchor" aria-label="anchor" href="#common-arguments"></a>
+</h3>
+<p>Most custom rate functions use the same core arguments:</p>
+<ul>
+<li>
+<code>params</code>: the <code>MizerParams</code> object,</li>
+<li>
+<code>n</code>: species abundance by species and size,</li>
+<li>
+<code>n_pp</code>: the resource abundance on the full size
+grid,</li>
+<li>
+<code>n_other</code>: a named list of additional component
+states,</li>
+<li>
+<code>t</code>: the current simulation time.</li>
+</ul>
+<p>Some rates also receive prerequisite rates that were already
+calculated earlier in the pipeline, for example <code>encounter</code>,
+<code>feeding_level</code>, or <code>pred_mort</code>.</p>
+</div>
+<div class="section level3">
+<h3 id="dimensions-and-dimnames">Dimensions and dimnames<a class="anchor" aria-label="anchor" href="#dimensions-and-dimnames"></a>
+</h3>
+<p>Most size-resolved rates should return a matrix with the same
+dimensions as <code>initialN(params)</code>, so a species x size matrix
+with the same dimnames. The two important exceptions are:</p>
+<ul>
+<li>
+<code>PredRate</code>, which uses the full prey size grid and
+therefore returns species x <code>w_full</code>,</li>
+<li>
+<code>ResourceMort</code>, which returns one value per
+<code>w_full</code> bin rather than one value per species.</li>
+</ul>
+<p>At registration time <code><a href="../reference/setRateFunction.html">setRateFunction()</a></code> calls your
+function with test inputs and checks that the returned object has the
+expected dimensions. This catches many mistakes immediately.</p>
+<p>Before moving to dynamical components, it is worth seeing the even
+simpler case of a non-dynamical extension.</p>
+</div>
+</div>
+<div class="section level2">
+<h2 id="practical-advice-for-extension-authors">Practical advice for extension authors<a class="anchor" aria-label="anchor" href="#practical-advice-for-extension-authors"></a>
+</h2>
+<div class="section level3">
+<h3 id="start-from-a-built-in-function">Start from a built-in function<a class="anchor" aria-label="anchor" href="#start-from-a-built-in-function"></a>
+</h3>
+<p>If possible, copy the relevant built-in mizer function, make one
+change, and register the modified version. This makes it much easier to
+stay compatible with the rest of the rate pipeline.</p>
+</div>
+<div class="section level3">
+<h3 id="keep-model-wide-and-component-specific-parameters-separate">Keep model-wide and component-specific parameters separate<a class="anchor" aria-label="anchor" href="#keep-model-wide-and-component-specific-parameters-separate"></a>
+</h3>
+<p>Use:</p>
+<ul>
+<li>
+<code>other_params(params)</code> for parameters used by custom rate
+functions across the whole model,</li>
+<li>
+<code>component_params</code> in <code><a href="../reference/setComponent.html">setComponent()</a></code> for
+parameters belonging to one component only.</li>
+</ul>
+<p>This keeps the structure of <code>params@other_params</code> readable
+and makes debugging much easier.</p>
+</div>
+<div class="section level3">
+<h3 id="return-plain-numeric-objects">Return plain numeric objects<a class="anchor" aria-label="anchor" href="#return-plain-numeric-objects"></a>
+</h3>
+<p>If you replace a built-in rate function, return a plain matrix,
+vector, or list with the expected dimensions. Do not return
+<code>ArraySpeciesBySize</code> objects from custom rate functions that
+are called through <code><a href="../reference/setRateFunction.html">setRateFunction()</a></code>.</p>
+</div>
+<div class="section level3">
+<h3 id="preserve-dimnames-where-possible">Preserve dimnames where possible<a class="anchor" aria-label="anchor" href="#preserve-dimnames-where-possible"></a>
+</h3>
+<p>Many bugs in extension code come from returning the right numeric
+values with the wrong shape. A good habit is to build outputs from
+existing mizer arrays so that dimensions and dimnames are inherited
+automatically.</p>
+</div>
+<div class="section level3">
+<h3 id="test-registration-and-use">Test registration and use<a class="anchor" aria-label="anchor" href="#test-registration-and-use"></a>
+</h3>
+<p>Test both of these:</p>
+<ol style="list-style-type: decimal">
+<li>that <code><a href="../reference/setRateFunction.html">setRateFunction()</a></code> or <code><a href="../reference/setComponent.html">setComponent()</a></code>
+succeeds,</li>
+<li>that the downstream function you care about, such as
+<code><a href="../reference/getEncounter.html">getEncounter()</a></code>, <code><a href="../reference/getDiet.html">getDiet()</a></code>, or
+<code><a href="../reference/project.html">project()</a></code>, uses your extension as intended.</li>
+</ol>
+</div>
+</div>
+<div class="section level2">
+<h2 id="when-to-move-beyond-a-local-script">When to move beyond a local script<a class="anchor" aria-label="anchor" href="#when-to-move-beyond-a-local-script"></a>
+</h2>
+<p>If your extension becomes useful across several projects, consider
+turning it into a small package. That gives you:</p>
+<ul>
+<li>a stable namespace so mizer can find your functions by name,</li>
+<li>a natural place for unit tests and documentation,</li>
+<li>versioning that can be recorded in
+<code>params@extensions</code>.</li>
+</ul>
+<p>For larger changes you may also want to discuss your design on the <a href="https://github.com/sizespectrum/mizer/issues" class="external-link">mizer issue
+tracker</a> before committing to an interface.</p>
+</div>
+<div class="section level2">
+<h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a>
+</h2>
+<ul>
+<li>
+<code><a href="../articles/developer_vignette.html">vignette("developer_vignette")</a></code> for a broader guide to
+working with the mizer code base,</li>
+<li>
+<code><a href="../reference/setRateFunction.html">?setRateFunction</a></code>,</li>
+<li>
+<code><a href="../reference/setComponent.html">?setComponent</a></code>,</li>
+<li>
+<code><a href="../reference/customFunction.html">?customFunction</a></code>,</li>
+<li>
+<code><a href="../reference/getRates.html">?getRates</a></code>.</li>
+</ul>
+</div>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside>
+</div>
+
+
+
+    <footer><div class="pkgdown-footer-left">
+  <p>Developed by <a href="https://www.york.ac.uk/maths/staff/gustav-delius/" class="external-link">Gustav Delius</a>, Finlay Scott, <a href="http://www.utas.edu.au/profiles/staff/imas/julia-blanchard" class="external-link">Julia Blanchard</a>, <a href="https://ken.haste.dk/" class="external-link">Ken Andersen</a>.</p>
+</div>
+
+<div class="pkgdown-footer-right">
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
+</div>
+
+    </footer>
+</div>
+
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+  </body>
+</html>
diff --git a/docs/articles/extensions_files/figure-html/detritus-diet-1.png b/docs/articles/extensions_files/figure-html/detritus-diet-1.png
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diff --git a/docs/articles/index.html b/docs/articles/index.html
index 55a2613f7..c0be31b4b 100644
--- a/docs/articles/index.html
+++ b/docs/articles/index.html
@@ -5,7 +5,7 @@
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+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Articles"><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
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@@ -13,7 +13,7 @@
 
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-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -34,13 +34,22 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
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+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
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     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-chain.html">Using mizer extension packages</a></li>
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+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
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@@ -50,7 +59,8 @@
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+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
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@@ -96,10 +106,22 @@ <h3>Tutorials</h3>
         <dd>
         </dd><dt><a href="exploring_the_simulation_results.html">Exploring the Simulation Results</a></dt>
         <dd>
+        </dd><dt><a href="cheatsheet.html">Cheatsheet: Analysis and Plotting</a></dt>
+        <dd>
         </dd><dt><a href="a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></dt>
         <dd>
         </dd><dt><a href="plotting.html">Using ggplot2 and plotly with mizer</a></dt>
         <dd>
+        </dd><dt><a href="predation_diffusion.html">Incorporating predation diffusion</a></dt>
+        <dd>
+        </dd><dt><a href="cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></dt>
+        <dd>
+        </dd><dt><a href="extensions.html">Extending mizer</a></dt>
+        <dd>
+        </dd><dt><a href="extension-packages.html">Creating a mizer extension package</a></dt>
+        <dd>
+        </dd><dt><a href="extension-chain.html">Using mizer extension packages</a></dt>
+        <dd>
       </dd></dl></div>
     <div class="section ">
       <h3>Publications</h3>
@@ -112,7 +134,13 @@ <h3>Publications</h3>
       <h3>Developer Guide</h3>
       <div class="section-desc"></div>
 
-      <dl><dt><a href="developer_vignette.html">Developer Guide</a></dt>
+      <dl><dt><a href="numerical_details.html">The Numerical Scheme used in Mizer</a></dt>
+        <dd>
+        </dd><dt><a href="mathematical_details.html">Mathematical Details of the Mizer Implementation</a></dt>
+        <dd>
+        </dd><dt><a href="analytic_test.html">Analytic Test</a></dt>
+        <dd>
+        </dd><dt><a href="developer_vignette.html">Developer Guide</a></dt>
         <dd>
         </dd><dt><a href="working_with_git.html">Working with git and GitHub</a></dt>
         <dd>
diff --git a/docs/articles/mathematical_details.html b/docs/articles/mathematical_details.html
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+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Mathematical Details of the Mizer Implementation</h1>
+            
+      
+      <small class="dont-index">Source: <a href="https://github.com/sizespectrum/mizer/blob/HEAD/vignettes/mathematical_details.Rmd" class="external-link"><code>vignettes/mathematical_details.Rmd</code></a></small>
+      <div class="d-none name"><code>mathematical_details.Rmd</code></div>
+    </div>
+
+    
+    
+<p>In this vignette we describe the mathematical details of how the
+convolution integrals in the expressions for the encounter rate and for
+the mortality rate are calculated with the help of Fast Fourier
+Transform (FFT).</p>
+<div class="section level2">
+<h2 id="conservation-equations">Conservation Equations<a class="anchor" aria-label="anchor" href="#conservation-equations"></a>
+</h2>
+<p>The model dynamics are described by the McKendrick-von Foerster
+equation for the species number densities <span class="math inline">\(N_i(w)\)</span> and the resource number density
+<span class="math inline">\(N_R(w)\)</span>.</p>
+</div>
+<div class="section level2">
+<h2 id="the-convolution-integrals">The Convolution Integrals<a class="anchor" aria-label="anchor" href="#the-convolution-integrals"></a>
+</h2>
+<p>The encounter rate <span class="math inline">\(E_i(w)\)</span> of a
+predator of species <span class="math inline">\(i\)</span> and weight
+<span class="math inline">\(w\)</span> is given by <span class="math display">\[
+E_i(w) = \gamma_i(w) \int
+\left( \theta_{ip} N_R(w_p) + \sum_{j} \theta_{ij} N_j(w_p) \right)
+\phi_i(w,w_p) w_p \, dw_p.
+\]</span> The first term in the integral is the contribution from the
+resource and the second term is the contribution from the fish prey.
+<span class="math inline">\(\gamma_i(w)\)</span> is the search volume,
+<span class="math inline">\(\theta_{ij}\)</span> is the interaction
+matrix, and <span class="math inline">\(\phi_i(w,w_p)\)</span> is the
+predation kernel.</p>
+<p>The predation rate <span class="math inline">\(P_j(w_p)\)</span> on a
+prey of species <span class="math inline">\(j\)</span> and size <span class="math inline">\(w_p\)</span> is given by <span class="math display">\[
+P_j(w_p) = \sum_i \int \phi_i(w,w_p) (1-f_i(w)) \gamma_i(w) N_i(w) \,
+dw.
+\]</span> Here <span class="math inline">\(f_i(w)\)</span> is the
+feeding level of the predator.</p>
+</div>
+<div class="section level2">
+<h2 id="discretization-on-logarithmic-grid">Discretization on Logarithmic Grid<a class="anchor" aria-label="anchor" href="#discretization-on-logarithmic-grid"></a>
+</h2>
+<p>We use a logarithmic grid of weights <span class="math inline">\(w_k
+= w_1 \beta^{k-1}\)</span> for <span class="math inline">\(k=1,\dots,K\)</span>, where <span class="math inline">\(\beta = 10^{\Delta x}\)</span>. The integral over
+prey size <span class="math inline">\(w_p\)</span> transforms into a sum
+over grid indices <span class="math inline">\(k\)</span>. Assuming the
+predation kernel depends only on the predator/prey mass ratio <span class="math inline">\(w/w_p\)</span>, i.e., <span class="math inline">\(\phi_i(w,w_p) = \tilde{\phi}_i(w/w_p)\)</span>,
+and converting to log-space <span class="math inline">\(x = \log_\beta
+w\)</span>, the integrals become convolutions.</p>
+<p>Let <span class="math inline">\(x_k = \log_\beta w_k = x_1 +
+(k-1)\)</span>. The term <span class="math inline">\(\phi_i(w_n, w_k) =
+\tilde{\phi}_i(\beta^{n-k})\)</span>.</p>
+</div>
+<div class="section level2">
+<h2 id="fast-fourier-transform-implementation">Fast Fourier Transform Implementation<a class="anchor" aria-label="anchor" href="#fast-fourier-transform-implementation"></a>
+</h2>
+<p>The evaluation of these convolution sums is computationally expensive
+if done directly (<span class="math inline">\(\mathcal{O}(K^2)\)</span>). By using the Fast
+Fourier Transform (FFT), we can reduce the complexity to <span class="math inline">\(\mathcal{O}(K \log K)\)</span>.</p>
+<div class="section level3">
+<h3 id="encounter-rate">Encounter Rate<a class="anchor" aria-label="anchor" href="#encounter-rate"></a>
+</h3>
+<p>The integral for the encounter rate can be written as a convolution
+of the available prey energy density with the predation kernel. Let
+<span class="math inline">\(A(w_p) = (\theta_{ip} N_R(w_p) + \sum_{j}
+\theta_{ij} N_j(w_p)) w_p\)</span>. The discretized encounter rate
+(ignoring coefficients) is roughly <span class="math display">\[ E[n] =
+\sum_k \tilde{\phi}[n-k] A[k] \]</span> In <code>mizer</code>, we define
+<code>ft_pred_kernel_e</code> as the FFT of the predation kernel. The
+available energy is calculated, transformed via FFT, multiplied by
+<code>ft_pred_kernel_e</code>, and then inverse transformed.</p>
+<p>The code in <code><a href="../reference/mizerEncounter.html">mizerEncounter()</a></code> implements this:</p>
+<div class="sourceCode" id="cb1"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">avail_energy</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/complex.html" class="external-link">Re</a></span><span class="op">(</span><span class="fu">base</span><span class="fu">::</span><span class="fu"><a href="https://rdrr.io/r/base/t.html" class="external-link">t</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/stats/fft.html" class="external-link">mvfft</a></span><span class="op">(</span><span class="fu">base</span><span class="fu">::</span><span class="fu"><a href="https://rdrr.io/r/base/t.html" class="external-link">t</a></span><span class="op">(</span><span class="va">params</span><span class="op">@</span><span class="va">ft_pred_kernel_e</span><span class="op">)</span> <span class="op">*</span></span>
+<span>                                     <span class="fu"><a href="https://rdrr.io/r/stats/fft.html" class="external-link">mvfft</a></span><span class="op">(</span><span class="fu">base</span><span class="fu">::</span><span class="fu"><a href="https://rdrr.io/r/base/t.html" class="external-link">t</a></span><span class="op">(</span><span class="va">prey</span><span class="op">)</span><span class="op">)</span>,</span>
+<span>                           inverse <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span><span class="op">)</span><span class="op">)</span> <span class="op">/</span> <span class="fu"><a href="https://rdrr.io/r/base/length.html" class="external-link">length</a></span><span class="op">(</span><span class="va">params</span><span class="op">@</span><span class="va">w_full</span><span class="op">)</span></span></code></pre></div>
+</div>
+<div class="section level3">
+<h3 id="predation-rate">Predation Rate<a class="anchor" aria-label="anchor" href="#predation-rate"></a>
+</h3>
+<p>Similarly, the predation rate is a convolution of the predator
+density (scaled by search volume and feeding level) with the predation
+kernel. However, there is a slight difference in the indexing because
+the integral is over predator sizes <span class="math inline">\(w\)</span>, whereas the kernel is usually defined
+in terms of predator/prey ratio. <span class="math display">\[ P(w_p) =
+\int \tilde{\phi}(w/w_p) D(w) dw \]</span> where <span class="math inline">\(D(w) = (1-f(w)) \gamma(w) N(w)\)</span>. In terms
+of indices: <span class="math display">\[ P[k] = \sum_n
+\tilde{\phi}[n-k] D[n] \]</span> To compute this as a standard
+convolution <span class="math inline">\(P[k] = \sum_n \psi[k-n]
+D[n]\)</span>, we need to define a reversed kernel <span class="math inline">\(\psi[m] = \tilde{\phi}[-m]\)</span>. This is why
+<code><a href="../reference/setPredKernel.html">setPredKernel()</a></code> calculates <code>ft_pred_kernel_p</code>
+using a reversed version of the kernel.</p>
+<div class="sourceCode" id="cb2"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="co"># R/setPredKernel.R</span></span>
+<span><span class="va">ri</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/Extremes.html" class="external-link">min</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/Extremes.html" class="external-link">max</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/which.html" class="external-link">which</a></span><span class="op">(</span><span class="va">phi</span> <span class="op">&gt;</span> <span class="fl">0</span><span class="op">)</span><span class="op">)</span>, <span class="va">no_w_full</span> <span class="op">-</span> <span class="fl">1</span><span class="op">)</span>  <span class="co"># index of largest ppmr</span></span>
+<span><span class="va">phi_p</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/rep.html" class="external-link">rep</a></span><span class="op">(</span><span class="fl">0</span>, <span class="va">no_w_full</span><span class="op">)</span></span>
+<span><span class="va">phi_p</span><span class="op">[</span><span class="op">(</span><span class="va">no_w_full</span> <span class="op">-</span> <span class="va">ri</span> <span class="op">+</span> <span class="fl">1</span><span class="op">)</span><span class="op">:</span><span class="va">no_w_full</span><span class="op">]</span> <span class="op">&lt;-</span> <span class="va">phi</span><span class="op">[</span><span class="op">(</span><span class="va">ri</span> <span class="op">+</span> <span class="fl">1</span><span class="op">)</span><span class="op">:</span><span class="fl">2</span><span class="op">]</span></span>
+<span><span class="va">ft_pred_kernel_p</span><span class="op">[</span><span class="va">i</span>, <span class="op">]</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/stats/fft.html" class="external-link">fft</a></span><span class="op">(</span><span class="va">phi_p</span><span class="op">)</span></span></code></pre></div>
+<p>The <code>phi_p</code> construction effectively reverses the kernel
+and wraps it around to suit the FFT definition of convolution.</p>
+</div>
+</div>
+<div class="section level2">
+<h2 id="the-wrap-around-hack-ft_mask">The Wrap-around Hack (<code>ft_mask</code>)<a class="anchor" aria-label="anchor" href="#the-wrap-around-hack-ft_mask"></a>
+</h2>
+<p>FFT-based convolution is actually circular convolution. This means
+that effects from the largest sizes can “wrap around” and affect the
+smallest sizes, which is unphysical in our context (large predators
+don’t eat orders of magnitude smaller than their prey preference, and
+certainly not “negative” sizes wrapping to positive).</p>
+<p>To avoid artifacts from this circularity, we pad the grid or careful
+masking. In <code>mizer</code>, we use <code>ft_mask</code> to zero out
+the predation rate at sizes that should not receive any predation from
+the largest predators (because they are larger than the maximum predator
+size or due to the kernel support).</p>
+<p>In <code><a href="../reference/mizerPredRate.html">mizerPredRate()</a></code>:</p>
+<div class="sourceCode" id="cb3"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="kw"><a href="https://rdrr.io/r/base/function.html" class="external-link">return</a></span><span class="op">(</span><span class="va">pred_rate</span> <span class="op">*</span> <span class="va">params</span><span class="op">@</span><span class="va">ft_mask</span><span class="op">)</span></span></code></pre></div>
+<p>The <code>ft_mask</code> ensures that we don’t get spurious predation
+mortality at sizes where it shouldn’t exist due to the periodic nature
+of the DFT. <code>ft_mask</code> is a logical array (0 or 1) that is 1
+strictly for sizes smaller than the maximum size of the species,
+preventing the “tail” of the convolution from wrapping around to the
+small sizes.</p>
+</div>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside>
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   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
 <link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
 <script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet">
 <link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet">
@@ -31,7 +31,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -54,13 +54,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -129,7 +137,9 @@ <h2 id="overview">Overview<a class="anchor" aria-label="anchor" href="#overview"
 suggestions, let us know about it by posting about it on our <a href="https://github.com/sizespectrum/mizer/issues/new" class="external-link">issue
 tracker</a>. You can also twitter to @<a href="https://twitter.com/mizer_model" class="external-link">mizer_model</a>. We love to hear
 from you.</p>
-<p><img src="images/workflow.png"></p>
+<div class="float">
+<img src="images/workflow.png" alt="Mizer workflow diagram"><div class="figcaption">Mizer workflow diagram</div>
+</div>
 <p>A good way to get into mizer is to follow the online <a href="https://mizer.course.sizespectrum.org" class="external-link">mizer course</a>. This
 course has three parts, each consisting of several tutorials with
 example code and exercises:</p>
@@ -171,7 +181,7 @@ <h2 id="installing-mizer">Installing mizer<a class="anchor" aria-label="anchor"
 If you still need to install R or RStudio as well, or if you are
 interested in installing a development version of mizer, click on the
 triangle below to reveal further details:
-<details><p>Mizer is compatible with R versions 3.1 and later. You can install R
+<details><p>Mizer is compatible with R versions 3.5 and later. You can install R
 on your computer by following the instructions at <a href="https://cran.r-project.org/" class="external-link uri">https://cran.r-project.org/</a> for your particular
 platform.</p>
 <p>Alternatively, if you can not or do not want to install R on your
@@ -194,8 +204,8 @@ <h2 id="installing-mizer">Installing mizer<a class="anchor" aria-label="anchor"
 <code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/utils/install.packages.html" class="external-link">install.packages</a></span><span class="op">(</span><span class="st">"devtools"</span><span class="op">)</span></span></code></pre></div>
 <p>Then you can install the latest version from GitHub using</p>
 <div class="sourceCode" id="cb4"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span><span class="fu">devtools</span><span class="fu">::</span><span class="fu"><a href="https://remotes.r-lib.org/reference/install_github.html" class="external-link">install_github</a></span><span class="op">(</span><span class="st">"sizespectrum/mizer"</span><span class="op">)</span></span></code></pre></div>
-Using the same <code><a href="https://remotes.r-lib.org/reference/install_github.html" class="external-link">devtools::install_github()</a></code> function you can
+<code class="sourceCode R"><span><span class="fu">devtools</span><span class="fu">::</span><span class="fu"><a href="https://devtools.r-lib.org/reference/install-deprecated.html" class="external-link">install_github</a></span><span class="op">(</span><span class="st">"sizespectrum/mizer"</span><span class="op">)</span></span></code></pre></div>
+Using the same <code><a href="https://devtools.r-lib.org/reference/install-deprecated.html" class="external-link">devtools::install_github()</a></code> function you can
 also install code from forked mizer repositories or from other branches
 on the official repository.
 </details>
@@ -255,11 +265,11 @@ <h2 id="exploring-the-results">Exploring the results<a class="anchor" aria-label
 <p>After a simulation has been run, the results can be examined using a
 range of <code><a href="../reference/plotting_functions.html">?plotting_functions</a></code>,
 <code><a href="../reference/summary_functions.html">?summary_functions</a></code> and <code><a href="../reference/indicator_functions.html">?indicator_functions</a></code>.
-The <code><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot()</a></code> function combines several of these plots into
+The <code><a href="../reference/plot.html">plot()</a></code> function combines several of these plots into
 one:</p>
 <div class="sourceCode" id="cb9"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">sim</span><span class="op">)</span></span></code></pre></div>
-<p><img src="mizer_files/figure-html/unnamed-chunk-8-1.png" class="r-plt" width="700"></p>
+<code class="sourceCode R"><span><span class="fu"><a href="../reference/plot.html">plot</a></span><span class="op">(</span><span class="va">sim</span><span class="op">)</span></span></code></pre></div>
+<p><img src="mizer_files/figure-html/unnamed-chunk-8-1.png" class="r-plt" alt="" width="700"></p>
 <p>Just as an example: we might be interested in how the proportion of
 large fish varies over time. We can get the proportion of Herrings in
 terms of biomass that have a weight above 50g in each of the 10
diff --git a/docs/articles/mizer_files/figure-html/unnamed-chunk-8-1.png b/docs/articles/mizer_files/figure-html/unnamed-chunk-8-1.png
index ebf51d252..c49e35330 100644
Binary files a/docs/articles/mizer_files/figure-html/unnamed-chunk-8-1.png and b/docs/articles/mizer_files/figure-html/unnamed-chunk-8-1.png differ
diff --git a/docs/articles/mizer_vignette.html b/docs/articles/mizer_vignette.html
index c3eab7f7e..80fd5a7b3 100644
--- a/docs/articles/mizer_vignette.html
+++ b/docs/articles/mizer_vignette.html
@@ -17,7 +17,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
 <link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
 <script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet">
 <link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet">
@@ -31,7 +31,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -54,13 +54,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -73,6 +81,7 @@
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
       </ul>
 <ul class="navbar-nav">
+<li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
 <li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json">
 </form></li>
@@ -191,8 +200,8 @@ <h2 id="installing-mizer">Installing mizer<a class="anchor" aria-label="anchor"
 <code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/utils/install.packages.html" class="external-link">install.packages</a></span><span class="op">(</span><span class="st">"devtools"</span><span class="op">)</span></span></code></pre></div>
 <p>Then you can install the latest version from GitHub using</p>
 <div class="sourceCode" id="cb4"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span><span class="fu">devtools</span><span class="fu">::</span><span class="fu"><a href="https://remotes.r-lib.org/reference/install_github.html" class="external-link">install_github</a></span><span class="op">(</span><span class="st">"sizespectrum/mizer"</span><span class="op">)</span></span></code></pre></div>
-Using the same <code><a href="https://remotes.r-lib.org/reference/install_github.html" class="external-link">devtools::install_github()</a></code> function you can
+<code class="sourceCode R"><span><span class="fu">devtools</span><span class="fu">::</span><span class="fu"><a href="https://devtools.r-lib.org/reference/install-deprecated.html" class="external-link">install_github</a></span><span class="op">(</span><span class="st">"sizespectrum/mizer"</span><span class="op">)</span></span></code></pre></div>
+Using the same <code><a href="https://devtools.r-lib.org/reference/install-deprecated.html" class="external-link">devtools::install_github()</a></code> function you can
 also install code from forked mizer repositories or from other branches
 on the official repository.
 </details>
@@ -252,11 +261,11 @@ <h2 id="exploring-the-results">Exploring the results<a class="anchor" aria-label
 <p>After a simulation has been run, the results can be examined using a
 range of <code><a href="../reference/plotting_functions.html">?plotting_functions</a></code>,
 <code><a href="../reference/summary_functions.html">?summary_functions</a></code> and <code><a href="../reference/indicator_functions.html">?indicator_functions</a></code>.
-The <code><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot()</a></code> function combines several of these plots into
+The <code><a href="../reference/plot.html">plot()</a></code> function combines several of these plots into
 one:</p>
 <div class="sourceCode" id="cb9"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">sim</span><span class="op">)</span></span></code></pre></div>
-<p><img src="mizer_vignette_files/figure-html/unnamed-chunk-8-1.png" class="r-plt" width="700"></p>
+<code class="sourceCode R"><span><span class="fu"><a href="../reference/plot.html">plot</a></span><span class="op">(</span><span class="va">sim</span><span class="op">)</span></span></code></pre></div>
+<p><img src="mizer_vignette_files/figure-html/unnamed-chunk-8-1.png" class="r-plt" alt="" width="700"></p>
 <p>Just as an example: we might be interested in how the proportion of
 large fish varies over time. We can get the proportion of Herrings in
 terms of biomass that have a weight above 50g in each of the 10
diff --git a/docs/articles/mizer_vignette_files/figure-html/unnamed-chunk-8-1.png b/docs/articles/mizer_vignette_files/figure-html/unnamed-chunk-8-1.png
index ebf51d252..c49e35330 100644
Binary files a/docs/articles/mizer_vignette_files/figure-html/unnamed-chunk-8-1.png and b/docs/articles/mizer_vignette_files/figure-html/unnamed-chunk-8-1.png differ
diff --git a/docs/articles/model_description.html b/docs/articles/model_description.html
index 8f7d4f55c..9b760ac32 100644
--- a/docs/articles/model_description.html
+++ b/docs/articles/model_description.html
@@ -17,7 +17,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
 <link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
 <script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet">
 <link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet">
@@ -31,7 +31,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -54,13 +54,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -143,7 +151,7 @@ <h3 id="consumer-densities">Consumer densities<a class="anchor" aria-label="anch
 <code class="sourceCode R"><span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://sizespectrum.org/mizer/">mizer</a></span><span class="op">)</span></span>
 <span><span class="va">params</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/newTraitParams.html">newTraitParams</a></span><span class="op">(</span>no_sp <span class="op">=</span> <span class="fl">2</span>, min_w <span class="op">=</span> <span class="fl">1e-3</span><span class="op">)</span></span>
 <span><span class="fu"><a href="../reference/plotSpectra.html">plotSpectra</a></span><span class="op">(</span><span class="va">params</span>, resource <span class="op">=</span> <span class="cn">FALSE</span>, power <span class="op">=</span> <span class="fl">0</span><span class="op">)</span></span></code></pre></div>
-<p><img src="model_description_files/figure-html/unnamed-chunk-1-1.png" class="r-plt" width="700"></p>
+<p><img src="model_description_files/figure-html/unnamed-chunk-1-1.png" class="r-plt" alt="" width="700"></p>
 <p>To represent this continuous size spectrum in the computer, the size
 variable <span class="math inline">\(w\)</span> is discretized into a
 vector <code>w</code> of discrete weights, providing a grid of sizes
@@ -203,12 +211,12 @@ <h3 id="traffic-on-the-road-to-adulthood">Traffic on the road to adulthood<a cla
 Foerster equation, which is a transport equation (as one would use for
 traffic density) but with an additional loss term due to fish
 mortality:</p>
-<p><span class="math display">\[\begin{equation}
+<p><span class="math display">\[
   \label{eq:MvF}
   \frac{\partial N_i(w)}{\partial t} + \frac{\partial g_i(w)
 N_i(w)}{\partial w}
   = -\mu_i(w) N_i(w),
-\end{equation}\]</span></p>
+\]</span></p>
 <p>where individual growth <span class="math inline">\(g_i(w)\)</span>
 is described below in the <a href="#growth">Growth</a> section and
 mortality <span class="math inline">\(\mu_i(w)\)</span> is described in
@@ -244,16 +252,18 @@ <h3 id="resource-density">Resource density<a class="anchor" aria-label="anchor"
 spectrum, in order to provide food also for the smallest individuals
 (larvae) of the fish spectrum. By default the time evolution of the
 resource spectrum is described by a semi-chemostat equation.</p>
-<details><p>The semichemostat dynamics are given by <span class="math display">\[\begin{equation}
+<details><p>The semichemostat dynamics are given by <span class="math display">\[
   \label{eq:nb}
   \frac{\partial N_R(w,t)}{\partial t}
   = r_R(w) \Big[ c_R (w) - N_R(w,t) \Big] - \mu_R(w) N_R(w,t).
-\end{equation}\]</span> Here <span class="math inline">\(r_R(w)\)</span>
-is the resource regeneration rate and <span class="math inline">\(c_R(w)\)</span> is the carrying capacity in the
+\]</span> Here <span class="math inline">\(r_R(w)\)</span> is the
+resource regeneration rate and <span class="math inline">\(c_R(w)\)</span> is the carrying capacity in the
 absence of predation. These parameters are changed with
 <code><a href="../reference/setResource.html">setResource()</a></code>. By default mizer assumes allometric forms
-<span class="math display">\[r_R(w)= r_R\, w^{n-1}.\]</span> <span class="math display">\[c_R(w)=\kappa\, w^{-\lambda}.\]</span> You can
-retrieve these with <code><a href="../reference/getResourceDynamics.html">getResourceRate()</a></code> and
+<span class="math display">\[r_R(w)= r_R\, w^{n-1}.\]</span></p>
+<p><span class="math display">\[c_R(w)=\kappa\,
+w^{-\lambda}.\]</span></p>
+<p>You can retrieve these with <code><a href="../reference/getResourceDynamics.html">getResourceRate()</a></code> and
 <code><a href="../reference/getResourceDynamics.html">getResourceCapacity()</a></code> respectively. It is also possible to
 implement other resource dynamics, as described in the help page for
 <code><a href="../reference/setResource.html">setResource()</a></code>. The mortality <span class="math inline">\(\mu_R(w)\)</span> is due to predation by consumers
@@ -275,24 +285,26 @@ <h2 id="growth">Growth<a class="anchor" aria-label="anchor" href="#growth"></a>
 from predation. We will discuss how we model the <a href="#sec:pref">predator-prey encounter rate</a>, the resulting rate of
 <a href="#consumption">consumption</a>, the rate of <a href="#metabolic-losses">metabolic losses</a>, and the partitioning of
 the remaining energy into <a href="#sec:repro">reproduction</a> and <a href="#resulting-growth">growth</a>.</p>
-<p><img src="images/energy.png" style="width:60.0%"></p>
+<div class="float">
+<img src="images/energy.png" style="width:60.0%" alt="Energy acquisition and use by an individual"><div class="figcaption">Energy acquisition and use by an
+individual</div>
+</div>
 <div class="section level3">
 <h3 id="sec:pref">Predator-prey encounter rate<a class="anchor" aria-label="anchor" href="#sec:pref"></a>
 </h3>
 <p>The rate at which a predator of species <span class="math inline">\(i\)</span> and weight <span class="math inline">\(w\)</span> encounters food (mass per time) is
 determined by summing over all prey species and the resource spectrum
 and integrating over all prey sizes <span class="math inline">\(w_p\)</span>, weighted by the selectivity factors:
-<span class="math display">\[\begin{equation}
+<span class="math display">\[
   \label{eq:1}
   E_{i}(w) = \gamma_i(w) \int \left(\sum_{j} \theta_{ij} N_j(w_p) +
    \theta_{iR} N_R(w_p) \right)
   \phi_i(w,w_p) w_p \, dw_p.
-\end{equation}\]</span> This is calculated by
-<code><a href="../reference/getEncounter.html">getEncounter()</a></code>. The overall prefactor <span class="math inline">\(\gamma_i(w)\)</span> sets the predation power of
-the predator. It could be interpreted as a search volume. It is set by
-<code><a href="../reference/setSearchVolume.html">setSearchVolume()</a></code>. By default it is assumed to scale
-allometrically as <span class="math inline">\(\gamma_i(w) = \gamma_i\,
-w^q.\)</span></p>
+\]</span> This is calculated by <code><a href="../reference/getEncounter.html">getEncounter()</a></code>. The overall
+prefactor <span class="math inline">\(\gamma_i(w)\)</span> sets the
+predation power of the predator. It could be interpreted as a search
+volume. It is set by <code><a href="../reference/setSearchVolume.html">setSearchVolume()</a></code>. By default it is
+assumed to scale allometrically as <span class="math inline">\(\gamma_i(w) = \gamma_i\, w^q.\)</span></p>
 <p>The <span class="math inline">\(\theta\)</span> matrix sets the
 interaction strength between predators and the various prey species and
 resource. It is changed with <code><a href="../reference/setInteraction.html">setInteraction()</a></code>.</p>
@@ -330,35 +342,36 @@ <h3 id="consumption">Consumption<a class="anchor" aria-label="anchor" href="#con
 satiated) so that <span class="math inline">\(1-f_i(w)\)</span> is the
 proportion of the encountered food that is consumed. The feeding level
 is given by</p>
-<p><span class="math display">\[\begin{equation}
+<p><span class="math display">\[
   \label{eq:f}
   f_i(w) = \frac{E_i(w)}{E_i(w) + h_i(w)},
-\end{equation}\]</span></p>
+\]</span></p>
 <p>where <span class="math inline">\(h_i(w)\)</span> is the maximum
 consumption rate. This is changed with <code><a href="../reference/setMaxIntakeRate.html">setMaxIntakeRate()</a></code>.
 By default mizer assumes an allometric form <span class="math inline">\(h_i(w) = h_i\, w^n.\)</span> The feeding level is
 calculated with the function <code><a href="../reference/getFeedingLevel.html">getFeedingLevel()</a></code>.</p>
-<p>The rate at which food is consumed is then <span class="math display">\[\begin{equation}
+<p>The rate at which food is consumed is then <span class="math display">\[
 (1-f_i(w))E_{i}(w)=f_i(w)\, h_i(w).
-\end{equation}\]</span></p>
+\]</span> Furthermore only a proportion <span class="math inline">\(\alpha_i\)</span> of the consumed food is
+absorbed.</p>
 </div>
 <div class="section level3">
 <h3 id="metabolic-losses">Metabolic losses<a class="anchor" aria-label="anchor" href="#metabolic-losses"></a>
 </h3>
-<p>Some of the consumed food is used to fuel the needs for metabolism
+<p>Some of the absorbed food is used to fuel the needs for metabolism
 and activity and movement, at a rate <span class="math inline">\({\tt
 metab}_i(w)\)</span>. By default this is made up out of standard
 metabolism, scaling with exponent <span class="math inline">\(p\)</span>, and loss due to activity and movement,
 scaling with exponent <span class="math inline">\(1\)</span>: <span class="math display">\[{\tt metab}_i(w) = k_{s.i}\,w^p +
 k_i\,w.\]</span> See the help page for
 <code><a href="../reference/setMetabolicRate.html">setMetabolicRate()</a></code>.</p>
-<p>The remaining rate, if any, is assimilated with an efficiency <span class="math inline">\(\alpha_i\)</span> and is then available for growth
-and reproduction. So the rate at which energy becomes available for
-growth and reproduction is <span class="math display">\[\begin{equation}
+<p>The remaining rate, if any,<br>
+is then available for growth and reproduction. So the rate at which
+energy becomes available for growth and reproduction is <span class="math display">\[
   \label{eq:Er}
   E_{r.i}(w) = \max(0, \alpha_i f_i(w)\, h_i(w) - {\tt metab}_i(w))
-\end{equation}\]</span> This is calculated with the
-<code><a href="../reference/getEReproAndGrowth.html">getEReproAndGrowth()</a></code> function.</p>
+\]</span> This is calculated with the <code><a href="../reference/getEReproAndGrowth.html">getEReproAndGrowth()</a></code>
+function.</p>
 </div>
 <div class="section level3">
 <h3 id="sec:repro">Investment into reproduction<a class="anchor" aria-label="anchor" href="#sec:repro"></a>
@@ -375,11 +388,11 @@ <h3 id="sec:repro">Investment into reproduction<a class="anchor" aria-label="anc
 <h3 id="growth-1">Growth<a class="anchor" aria-label="anchor" href="#growth-1"></a>
 </h3>
 <p>What is left over after metabolism and reproduction is taken into
-account is invested in somatic growth. Thus the growth rate is <span class="math display">\[\begin{equation}
+account is invested in somatic growth. Thus the growth rate is <span class="math display">\[
   \label{eq:growth}
   g_i(w) = E_{r.i}(w)\left(1-\psi_i(w)\right).
-\end{equation}\]</span> It is calculated by the
-<code><a href="../reference/getEGrowth.html">getEGrowth()</a></code> function.</p>
+\]</span> It is calculated by the <code><a href="../reference/getEGrowth.html">getEGrowth()</a></code>
+function.</p>
 <p>When food supply does not cover the requirements of metabolism and
 activity, growth and reproduction stops, i.e. there is no negative
 growth. The individual should then be subjected to a starvation
@@ -395,29 +408,31 @@ <h2 id="mortality">Mortality<a class="anchor" aria-label="anchor" href="#mortali
 mortality <span class="math inline">\(\mu_{p.i}(w)\)</span>, background
 mortality <span class="math inline">\(\mu_{ext.i}(w)\)</span> and
 fishing mortality <span class="math inline">\(\mu_{f.i}(w)\)</span>.</p>
-<p><img src="images/mortality.png" style="width:50.0%"></p>
+<div class="float">
+<img src="images/mortality.png" style="width:50.0%" alt="Mortality of an individual"><div class="figcaption">Mortality of an individual</div>
+</div>
 <p>Predation mortality is calculated such that all that is eaten
 translates into corresponding predation mortalities on the ingested prey
 individuals. Recalling that <span class="math inline">\(1-f_j(w)\)</span> is the proportion of the food
 encountered by a predator of species <span class="math inline">\(j\)</span> and weight <span class="math inline">\(w\)</span> that is actually consumed, the rate at
 which all predators of species <span class="math inline">\(j\)</span>
-consume prey of size <span class="math inline">\(w_p\)</span> is <span class="math display">\[\begin{equation}
+consume prey of size <span class="math inline">\(w_p\)</span> is <span class="math display">\[
   \label{eq:pred_rated}
   {\tt pred\_rate}_j(w_p) = \int \phi_j(w,w_p) (1-f_j(w))
   \gamma_j(w) N_j(w) \, dw.
-\end{equation}\]</span> This predation rate is calculated by the
-function <code><a href="../reference/getPredRate.html">getPredRate()</a></code>.</p>
+\]</span> This predation rate is calculated by the function
+<code><a href="../reference/getPredRate.html">getPredRate()</a></code>.</p>
 <details><p>The integral is approximated by a Riemann sum over all fish weight
 brackets. <span class="math display">\[
 {\tt pred\_rate}[j,c] = \sum_{a}
   {\tt pred_kernel}[j,a,c]\,(1-{\tt feeding_level}[j,a])\,
   \gamma[j,a]\,n[j,a]\,dw[a].
 \]</span></p>
-</details><p>The mortality rate due to predation is then obtained as <span class="math display">\[\begin{equation}
+</details><p>The mortality rate due to predation is then obtained as <span class="math display">\[
   \label{eq:mup}
   \mu_{p.i}(w_p) = \sum_j {\tt pred\_rate}_j(w_p)\, \theta_{ji}.
-\end{equation}\]</span> This predation mortality rate is calculated by
-the function <code><a href="../reference/getPredMort.html">getPredMort()</a></code>.</p>
+\]</span> This predation mortality rate is calculated by the function
+<code><a href="../reference/getPredMort.html">getPredMort()</a></code>.</p>
 <p>External mortality <span class="math inline">\(\mu_{ext.i}(w)\)</span> is independent of the
 abundances and is changed with <code><a href="../reference/setExtMort.html">setExtMort()</a></code>. By default
 mizer assumes that the external mortality for each species is a constant
@@ -445,11 +460,11 @@ <h3 id="total-mortality">Total mortality<a class="anchor" aria-label="anchor" hr
 <h3 id="resource-mortality">Resource Mortality<a class="anchor" aria-label="anchor" href="#resource-mortality"></a>
 </h3>
 <p>The predation mortality rate on resource is given by a similar
-expression as the predation mortality on fish: <span class="math display">\[\begin{equation}
+expression as the predation mortality on fish: <span class="math display">\[
   \label{eq:mupp}
   \mu_{p}(w_p) = \sum_j {\tt pred\_rate}_j(w_p)\, \theta_{jp}.
-\end{equation}\]</span> This is the only mortality on resource currently
-implemented in mizer. It is calculated with the function
+\]</span> This is the only mortality on resource currently implemented
+in mizer. It is calculated with the function
 <code><a href="../reference/getResourceMort.html">getResourceMort()</a></code>.</p>
 </div>
 </div>
@@ -464,13 +479,13 @@ <h3 id="energy-invested-into-reproduction">Energy invested into reproduction<a c
 <span class="math inline">\(\psi_i(w)\)</span> of their consumption.
 This total rate of energy investment can then be converted to a total
 rate of egg production <span class="math inline">\(R_{p.i}\)</span>
-(numbers per year): <span class="math display">\[\begin{equation}
+(numbers per year): <span class="math display">\[
   \label{eq:Rp}
   R_{p.i} = \frac{\epsilon_i}{2 w_{0.i}} \int N_i(w)  E_{r.i}(w)
 \psi_i(w) \, dw,
-\end{equation}\]</span> Here the total rate of investment is multiplied
-by an efficiency factor <span class="math inline">\(\epsilon_i\)</span>
-and then dividing by the egg weight <span class="math inline">\(w_{0.i}\)</span> to convert the energy into number
+\]</span> Here the total rate of investment is multiplied by an
+efficiency factor <span class="math inline">\(\epsilon_i\)</span> and
+then dividing by the egg weight <span class="math inline">\(w_{0.i}\)</span> to convert the energy into number
 of eggs. The result is multiplied by a factor <span class="math inline">\(1/2\)</span> to take into account that only
 females reproduce. This rate of potential egg production is calculated
 with <code><a href="../reference/getRDI.html">getRDI()</a></code>.</p>
@@ -502,12 +517,12 @@ <h3 id="density-dependence-in-reproduction">Density-dependence in reproduction<a
 maximum as the energy invested in reproduction increases, modelled
 mathematically it is analogous to a <em>Beverton-Holt</em> type
 function:</p>
-<p><span class="math display">\[\begin{equation}
+<p><span class="math display">\[
   \label{eq:R}
   R_i = R_{\max.i} \frac{R_{p.i}}{R_{p.i} + R_{\max.i}},
-\end{equation}\]</span> where <span class="math inline">\(R_{\max.i}\)</span> is the maximum reproduction
-rate of each trait class. This final rate of reproduction is calculated
-with <code><a href="../reference/getRDD.html">getRDD()</a></code>.</p>
+\]</span> where <span class="math inline">\(R_{\max.i}\)</span> is the
+maximum reproduction rate of each trait class. This final rate of
+reproduction is calculated with <code><a href="../reference/getRDD.html">getRDD()</a></code>.</p>
 <p>This default <em>Beverton-Holt</em> type is implemented by
 <code>BervertonHoldRDD()</code> but mizer also provides alternatives
 <code><a href="../reference/RickerRDD.html">RickerRDD()</a></code>, <code><a href="../reference/SheperdRDD.html">SheperdRDD()</a></code>,
diff --git a/docs/articles/model_description_files/figure-html/unnamed-chunk-1-1.png b/docs/articles/model_description_files/figure-html/unnamed-chunk-1-1.png
index 82cecfa31..e9b08e308 100644
Binary files a/docs/articles/model_description_files/figure-html/unnamed-chunk-1-1.png and b/docs/articles/model_description_files/figure-html/unnamed-chunk-1-1.png differ
diff --git a/docs/articles/multispecies_model.html b/docs/articles/multispecies_model.html
index 5b1fe3a7c..c34aa9032 100644
--- a/docs/articles/multispecies_model.html
+++ b/docs/articles/multispecies_model.html
@@ -17,7 +17,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
 <link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
 <script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet">
 <link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet">
@@ -31,7 +31,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -54,13 +54,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -73,6 +81,7 @@
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
       </ul>
 <ul class="navbar-nav">
+<li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
 <li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json">
 </form></li>
@@ -362,32 +371,45 @@ <h3 id="sec:params_example">Example of making <code>MizerParams</code> objects<a
 <span><span class="co">## Haddock Haddock  3485   165    558   2.1 1.84e+12 0.271 0.6666667 0.7  3485</span></span>
 <span><span class="co">## Cod         Cod 40044  1606     66   1.3 8.26e+09 0.216 0.6666667 0.7 40044</span></span>
 <span><span class="co">## Saithe   Saithe 16856  1076     40   1.1 1.12e+11 0.175 0.6666667 0.7 16856</span></span>
-<span><span class="co">##         w_min w_repro_max alpha interaction_resource pred_kernel_type        h</span></span>
-<span><span class="co">## Sprat   0.001          33   0.6                    1        lognormal 14.51026</span></span>
-<span><span class="co">## Sandeel 0.001          36   0.6                    1        lognormal 28.36951</span></span>
-<span><span class="co">## N.pout  0.001         100   0.6                    1        lognormal 30.69918</span></span>
-<span><span class="co">## Herring 0.001         334   0.6                    1        lognormal 31.20041</span></span>
-<span><span class="co">## Dab     0.001         324   0.6                    1        lognormal 34.68295</span></span>
-<span><span class="co">## Whiting 0.001        1192   0.6                    1        lognormal 32.78322</span></span>
-<span><span class="co">## Sole    0.001         866   0.6                    1        lognormal 24.90951</span></span>
-<span><span class="co">## Gurnard 0.001         668   0.6                    1        lognormal 22.29126</span></span>
-<span><span class="co">## Plaice  0.001        2976   0.6                    1        lognormal 17.71691</span></span>
-<span><span class="co">## Haddock 0.001        3485   0.6                    1        lognormal 40.62144</span></span>
-<span><span class="co">## Cod     0.001       40044   0.6                    1        lognormal 74.81794</span></span>
-<span><span class="co">## Saithe  0.001       16856   0.6                    1        lognormal 43.50194</span></span>
-<span><span class="co">##         k       ks         z0         q        gamma     w_mat25 m erepro</span></span>
-<span><span class="co">## Sprat   0 1.598545 0.18705957 0.7166667 5.765885e-11   11.647460 1      1</span></span>
-<span><span class="co">## Sandeel 0 3.250607 0.18171206 0.7166667 4.267142e-11    3.583834 1      1</span></span>
-<span><span class="co">## N.pout  0 3.318311 0.12926608 0.7166667 9.749884e-11   20.607045 1      1</span></span>
-<span><span class="co">## Herring 0 3.212332 0.08647736 0.7166667 2.812559e-11   88.699888 1      1</span></span>
-<span><span class="co">## Dab     0 3.760307 0.08735805 0.7166667 7.663981e-11   18.815128 1      1</span></span>
-<span><span class="co">## Whiting 0 3.406676 0.05658819 0.7166667 1.041177e-10   67.196884 1      1</span></span>
-<span><span class="co">## Sole    0 2.585095 0.06294752 0.7166667 5.308445e-11   69.884760 1      1</span></span>
-<span><span class="co">## Gurnard 0 2.367448 0.06863713 0.7166667 5.091838e-11   34.942380 1      1</span></span>
-<span><span class="co">## Plaice  0 1.820523 0.04171321 0.7166667 4.774060e-11   94.075638 1      1</span></span>
-<span><span class="co">## Haddock 0 4.111691 0.03957464 0.7166667 7.679024e-11  147.833146 1      1</span></span>
-<span><span class="co">## Cod     0 7.019866 0.01753768 0.7166667 2.549664e-10 1438.909287 1      1</span></span>
-<span><span class="co">## Saithe  0 4.136466 0.02340093 0.7166667 1.797143e-10  964.051303 1      1</span></span></code></pre>
+<span><span class="co">##         w_min w_repro_max alpha interaction_resource z_ext          d E_ext</span></span>
+<span><span class="co">## Sprat   0.001          33   0.6                    1     0 -0.3333333     0</span></span>
+<span><span class="co">## Sandeel 0.001          36   0.6                    1     0 -0.3333333     0</span></span>
+<span><span class="co">## N.pout  0.001         100   0.6                    1     0 -0.3333333     0</span></span>
+<span><span class="co">## Herring 0.001         334   0.6                    1     0 -0.3333333     0</span></span>
+<span><span class="co">## Dab     0.001         324   0.6                    1     0 -0.3333333     0</span></span>
+<span><span class="co">## Whiting 0.001        1192   0.6                    1     0 -0.3333333     0</span></span>
+<span><span class="co">## Sole    0.001         866   0.6                    1     0 -0.3333333     0</span></span>
+<span><span class="co">## Gurnard 0.001         668   0.6                    1     0 -0.3333333     0</span></span>
+<span><span class="co">## Plaice  0.001        2976   0.6                    1     0 -0.3333333     0</span></span>
+<span><span class="co">## Haddock 0.001        3485   0.6                    1     0 -0.3333333     0</span></span>
+<span><span class="co">## Cod     0.001       40044   0.6                    1     0 -0.3333333     0</span></span>
+<span><span class="co">## Saithe  0.001       16856   0.6                    1     0 -0.3333333     0</span></span>
+<span><span class="co">##         D_ext is_background pred_kernel_type        h k       ks         z0</span></span>
+<span><span class="co">## Sprat       0         FALSE        lognormal 14.51026 0 1.598545 0.18705957</span></span>
+<span><span class="co">## Sandeel     0         FALSE        lognormal 28.36951 0 3.250607 0.18171206</span></span>
+<span><span class="co">## N.pout      0         FALSE        lognormal 30.69918 0 3.318311 0.12926608</span></span>
+<span><span class="co">## Herring     0         FALSE        lognormal 31.20041 0 3.212332 0.08647736</span></span>
+<span><span class="co">## Dab         0         FALSE        lognormal 34.68295 0 3.760307 0.08735805</span></span>
+<span><span class="co">## Whiting     0         FALSE        lognormal 32.78322 0 3.406676 0.05658819</span></span>
+<span><span class="co">## Sole        0         FALSE        lognormal 24.90951 0 2.585095 0.06294752</span></span>
+<span><span class="co">## Gurnard     0         FALSE        lognormal 22.29126 0 2.367448 0.06863713</span></span>
+<span><span class="co">## Plaice      0         FALSE        lognormal 17.71691 0 1.820523 0.04171321</span></span>
+<span><span class="co">## Haddock     0         FALSE        lognormal 40.62144 0 4.111691 0.03957464</span></span>
+<span><span class="co">## Cod         0         FALSE        lognormal 74.81794 0 7.019866 0.01753768</span></span>
+<span><span class="co">## Saithe      0         FALSE        lognormal 43.50194 0 4.136466 0.02340093</span></span>
+<span><span class="co">##                 q        gamma     w_mat25 m erepro</span></span>
+<span><span class="co">## Sprat   0.7166667 5.765885e-11   11.647460 1      1</span></span>
+<span><span class="co">## Sandeel 0.7166667 4.267142e-11    3.583834 1      1</span></span>
+<span><span class="co">## N.pout  0.7166667 9.749884e-11   20.607045 1      1</span></span>
+<span><span class="co">## Herring 0.7166667 2.812559e-11   88.699888 1      1</span></span>
+<span><span class="co">## Dab     0.7166667 7.663981e-11   18.815128 1      1</span></span>
+<span><span class="co">## Whiting 0.7166667 1.041177e-10   67.196884 1      1</span></span>
+<span><span class="co">## Sole    0.7166667 5.308445e-11   69.884760 1      1</span></span>
+<span><span class="co">## Gurnard 0.7166667 5.091838e-11   34.942380 1      1</span></span>
+<span><span class="co">## Plaice  0.7166667 4.774060e-11   94.075638 1      1</span></span>
+<span><span class="co">## Haddock 0.7166667 7.679024e-11  147.833146 1      1</span></span>
+<span><span class="co">## Cod     0.7166667 2.549664e-10 1438.909287 1      1</span></span>
+<span><span class="co">## Saithe  0.7166667 1.797143e-10  964.051303 1      1</span></span></code></pre>
 <p>We can see that this returns the original species data.frame (with
 <code>w_max</code> and so on), plus any default values that may not have
 been included in the original data.frame. For example, we can see that
@@ -437,6 +459,9 @@ <h3 id="sec:params_example">Example of making <code>MizerParams</code> objects<a
 <div class="sourceCode" id="cb16"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/base/summary.html" class="external-link">summary</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span></span></code></pre></div>
 <pre><code><span><span class="co">## An object of class "MizerParams" </span></span>
+<span><span class="co">## mizer version: 2.5.4.9125</span></span>
+<span><span class="co">## Created: 2026-05-07 18:49:15</span></span>
+<span><span class="co">## Modified: 2026-05-07 18:49:15</span></span>
 <span><span class="co">## Consumer size spectrum:</span></span>
 <span><span class="co">##  minimum size:   0.001</span></span>
 <span><span class="co">##  maximum size:   40044</span></span>
@@ -497,7 +522,7 @@ <h3 id="setting-the-interaction-matrix">Setting the interaction matrix<a class="
 <code class="sourceCode R"><span><span class="fu"><a href="../reference/getInteraction.html">getInteraction</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span></span></code></pre></div>
 <pre><code><span><span class="co">## Warning: `getInteraction()` was deprecated in mizer 2.4.0.</span></span>
 <span><span class="co">## <span style="color: #00BBBB;">ℹ</span> Please use `interaction_matrix()` instead.</span></span>
-<span><span class="co">## <span style="color: #555555;">This warning is displayed once every 8 hours.</span></span></span>
+<span><span class="co">## <span style="color: #555555;">This warning is displayed once per session.</span></span></span>
 <span><span class="co">## <span style="color: #555555;">Call `lifecycle::last_lifecycle_warnings()` to see where this warning was</span></span></span>
 <span><span class="co">## <span style="color: #555555;">generated.</span></span></span></code></pre>
 <pre><code><span><span class="co">##          prey</span></span>
@@ -650,6 +675,9 @@ <h3 id="sec:setting_different_gears">Setting different gears<a class="anchor" ar
 <div class="sourceCode" id="cb32"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/base/summary.html" class="external-link">summary</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span></span></code></pre></div>
 <pre><code><span><span class="co">## An object of class "MizerParams" </span></span>
+<span><span class="co">## mizer version: 2.5.4.9125</span></span>
+<span><span class="co">## Created: 2026-05-07 18:49:15</span></span>
+<span><span class="co">## Modified: 2026-05-07 18:49:16</span></span>
 <span><span class="co">## Consumer size spectrum:</span></span>
 <span><span class="co">##  minimum size:   0.001</span></span>
 <span><span class="co">##  maximum size:   40044</span></span>
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+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>The Numerical Scheme used in Mizer</h1>
+            
+      
+      <small class="dont-index">Source: <a href="https://github.com/sizespectrum/mizer/blob/HEAD/vignettes/numerical_details.Rmd" class="external-link"><code>vignettes/numerical_details.Rmd</code></a></small>
+      <div class="d-none name"><code>numerical_details.Rmd</code></div>
+    </div>
+
+    
+    
+<p>In this vignette we explain the numerical scheme used in mizer. We
+will not go into the details of the model itself, which is described in
+the <a href="model_description.html">model description vignette</a>. We
+will focus on how the model is discretised and how the resulting
+difference equations are solved.</p>
+<div class="section level2">
+<h2 id="the-weight-grid">The weight grid<a class="anchor" aria-label="anchor" href="#the-weight-grid"></a>
+</h2>
+<p>The model dynamics are described by partial differential equations
+(PDEs) for the species number densities <span class="math inline">\(N_i(w)\)</span> and the resource number density
+<span class="math inline">\(N_R(w)\)</span>. These depend on the
+individual weight <span class="math inline">\(w\)</span>. To solve these
+equations numerically, we discretise the weight axis.</p>
+<p>We choose a grid of weights <span class="math inline">\(w_1, w_2,
+\ldots, w_K\)</span>. The grid is logarithmically spaced, meaning that
+the ratio of consecutive weights is constant: <span class="math display">\[ w_{j+1} / w_j = 10^{\Delta x} = \text{const}.
+\]</span> The logarithmic spacing is chosen because the weights of fish
+span many orders of magnitude, from milligrams to megagrams.</p>
+<p>This grid defines a set of bins. The <span class="math inline">\(j\)</span>-th bin is the interval <span class="math inline">\([w_j, w_{j+1})\)</span>. The width of the <span class="math inline">\(j\)</span>-th bin is <span class="math display">\[
+\Delta w_j = w_{j+1} - w_j = w_j (10^{\Delta x} - 1). \]</span> Note
+that <span class="math inline">\(\Delta w_j\)</span> increases with
+<span class="math inline">\(w_j\)</span>, which is appropriate for a
+logarithmic grid.</p>
+<p>The number density <span class="math inline">\(N_i(w)\)</span> is
+approximated by a constant value <span class="math inline">\(N_{i,j}\)</span> within each bin. Thus <span class="math inline">\(N_{i,j}\)</span> represents the density at the
+start of the bin <span class="math inline">\(w_j\)</span>. The number of
+individuals in the <span class="math inline">\(j\)</span>-th bin is
+<span class="math inline">\(N_{i,j} \Delta w_j\)</span>.</p>
+</div>
+<div class="section level2">
+<h2 id="the-transport-equation">The Transport Equation<a class="anchor" aria-label="anchor" href="#the-transport-equation"></a>
+</h2>
+<p>The time evolution of the number density <span class="math inline">\(N_i(w)\)</span> is described by the McKendrick-von
+Foerster equation with an added diffusion term: <span class="math display">\[
+\frac{\partial N_i}{\partial t} + \frac{\partial}{\partial w} \left( g_i
+N_i - \frac{1}{2}\frac{\partial(d_i N_i)}{\partial w} \right) = -\mu_i
+N_i
+\]</span> where <span class="math inline">\(g_i(w)\)</span> is the
+somatic growth rate, <span class="math inline">\(d_i(w)\)</span> is the
+diffusion coefficient and <span class="math inline">\(\mu_i(w)\)</span>
+is the total mortality rate.</p>
+<p>We discretise this equation using a finite volume scheme.</p>
+<div class="section level3">
+<h3 id="discretisation-of-the-fluxes">Discretisation of the Fluxes<a class="anchor" aria-label="anchor" href="#discretisation-of-the-fluxes"></a>
+</h3>
+<p>The term inside the derivative with respect to <span class="math inline">\(w\)</span> is the flux <span class="math inline">\(J_i(w)\)</span>: <span class="math display">\[
+J_i(w) = g_i(w) N_i(w) - \frac{1}{2}\frac{\partial(d_i(w)
+N_i(w))}{\partial w} \]</span> We consider the <span class="math inline">\(j\)</span>-th size bin <span class="math inline">\([w_j, w_{j+1}]\)</span>. Integrating the
+conservation equation over this bin gives: <span class="math display">\[
+\Delta w_j \frac{\partial N_{i,j}}{\partial t} + J_i(w_{j+1}) - J_i(w_j)
+= -\int_{w_j}^{w_{j+1}} \mu_i(w) N_i(w) dw \]</span> Approximating the
+integral and dividing by <span class="math inline">\(\Delta
+w_j\)</span>: <span class="math display">\[ \frac{N_{i,j}^{t+1} -
+N_{i,j}^t}{\Delta t} + \frac{J_{i,j+1} - J_{i,j}}{\Delta w_j} =
+-\mu_i(w_j) N_{i,j}^{t+1} \]</span> where <span class="math inline">\(J_{i,j}\)</span> represents the flux at the
+boundary <span class="math inline">\(w_j\)</span>.</p>
+<div class="section level4">
+<h4 id="advective-flux">Advective Flux<a class="anchor" aria-label="anchor" href="#advective-flux"></a>
+</h4>
+<p>For the advective part of the flux <span class="math inline">\(g_i
+N_i\)</span>, we use an <strong>upwind</strong> approximation. Since
+fish grow from smaller to larger sizes (<span class="math inline">\(g_i
+&gt; 0\)</span>), the flux at boundary <span class="math inline">\(w_j\)</span> is determined by the density in the
+bin below (<span class="math inline">\(j-1\)</span>): <span class="math display">\[ J_{i,j}^{adv} = g_i(w_{j-1}) N_{i,j-1} \]</span>
+(Note: for <span class="math inline">\(j=j_{min}\)</span>, this boundary
+flux is the recruitment <span class="math inline">\(R_{dd,i}\)</span>).</p>
+</div>
+<div class="section level4">
+<h4 id="diffusive-flux">Diffusive Flux<a class="anchor" aria-label="anchor" href="#diffusive-flux"></a>
+</h4>
+<p>For the diffusive part of the flux <span class="math inline">\(-\frac{1}{2}\frac{\partial(d_i N_i)}{\partial
+w}\)</span>, we use a <strong>central difference</strong> approximation
+at the boundary <span class="math inline">\(w_j\)</span>. We approximate
+the gradient using the densities in the adjacent bins <span class="math inline">\(j-1\)</span> and <span class="math inline">\(j\)</span>: <span class="math display">\[
+J_{i,j}^{diff} \approx -\frac{1}{2} \frac{(d_i N_i)_j - (d_i
+N_i)_{j-1}}{w_j - w_{j-1}} = -\frac{1}{2} \frac{d_i(w_j) N_{i,j} -
+d_i(w_{j-1}) N_{i,j-1}}{\Delta w_{j-1}} \]</span> Note the use of <span class="math inline">\(N_{i,j}\)</span> (density in bin <span class="math inline">\(j\)</span>) and <span class="math inline">\(N_{i,j-1}\)</span> (density in bin <span class="math inline">\(j-1\)</span>) to estimate the value at the
+interface <span class="math inline">\(w_j\)</span>.</p>
+<p>The total flux at boundary <span class="math inline">\(w_j\)</span>
+is: <span class="math display">\[ J_{i,j} = g_i(w_{j-1}) N_{i,j-1} -
+\frac{1}{2} \frac{d_i(w_j) N_{i,j} - d_i(w_{j-1}) N_{i,j-1}}{\Delta
+w_{j-1}} \]</span> And similarly at boundary <span class="math inline">\(w_{j+1}\)</span>: <span class="math display">\[
+J_{i,j+1} = g_i(w_j) N_{i,j} - \frac{1}{2} \frac{d_i(w_{j+1}) N_{i,j+1}
+- d_i(w_j) N_{i,j}}{\Delta w_j} \]</span></p>
+</div>
+</div>
+<div class="section level3">
+<h3 id="limitation-on-time-step">Limitation on Time Step<a class="anchor" aria-label="anchor" href="#limitation-on-time-step"></a>
+</h3>
+<p>With the diffusion term, an explicit time discretisation would
+require a very small time step for stability (<span class="math inline">\(\Delta t \sim \Delta w^2\)</span>). Therefore, we
+use a semi-implicit scheme where the densities <span class="math inline">\(N_i\)</span> are evaluated at time <span class="math inline">\(t+1\)</span>, but the rates (<span class="math inline">\(g_i, \mu_i, d_i\)</span>) are evaluated at time
+<span class="math inline">\(t\)</span>.</p>
+</div>
+<div class="section level3">
+<h3 id="discretised-equation">Discretised Equation<a class="anchor" aria-label="anchor" href="#discretised-equation"></a>
+</h3>
+<p>Substituting the fluxes into the conservation equation: <span class="math display">\[
+\frac{N_{i,j}^{t+1} - N_{i,j}^t}{\Delta t} + \frac{1}{\Delta w_j} \left(
+J_{i,j+1}^{t+1} - J_{i,j}^{t+1} \right) = -\mu_i(w_j) N_{i,j}^{t+1}
+\]</span> This leads to a linear system of the form: <span class="math display">\[
+A_{i,j} N_{i,j-1}^{t+1} + B_{i,j} N_{i,j}^{t+1} + C_{i,j}
+N_{i,j+1}^{t+1} = S_{i,j}
+\]</span> where <span class="math inline">\(S_{i,j} =
+N_{i,j}^t\)</span>. This is a <strong>tridiagonal system</strong> for
+each species <span class="math inline">\(i\)</span>, which can be solved
+efficiently (e.g., using the Thomas algorithm).</p>
+<p>The coefficients are: <span class="math display">\[
+\begin{aligned}
+A_{i,j} &amp;= -\frac{\Delta t}{\Delta w_j} \left( g_i(w_{j-1}) +
+\frac{1}{2} \frac{d_i(w_{j-1})}{\Delta w_{j-1}} \right) \\
+C_{i,j} &amp;= -\frac{\Delta t}{\Delta w_j} \left( \frac{1}{2}
+\frac{d_i(w_{j+1})}{\Delta w_j} \right) \\
+B_{i,j} &amp;= 1 + \Delta t \mu_i(w_j) + \frac{\Delta t}{\Delta w_j}
+\left( g_i(w_j) + \frac{1}{2} \frac{d_i(w_j)}{\Delta w_j} + \frac{1}{2}
+\frac{d_i(w_j)}{\Delta w_{j-1}} \right)
+\end{aligned}
+\]</span></p>
+</div>
+<div class="section level3">
+<h3 id="boundary-conditions">Boundary Conditions<a class="anchor" aria-label="anchor" href="#boundary-conditions"></a>
+</h3>
+<p><strong>At the smallest size (<span class="math inline">\(j=j_{min}\)</span>):</strong> The flux entering
+the grid is determined by recruitment. <span class="math display">\[
+J_{i, j_{min}} = R_{dd, i} \]</span> (We assume diffusive flux at the
+lower boundary is negligible or incorporated into <span class="math inline">\(R_{dd}\)</span>). The equation for the first bin
+becomes: <span class="math display">\[ \frac{N_{i,j_{min}}^{t+1} -
+N_{i,j_{min}}^t}{\Delta t} + \frac{J_{i, j_{min}+1}^{t+1} -
+R_{dd,i}}{\Delta w_{j_{min}}} = -\mu_i(w_{j_{min}}) N_{i,j_{min}}^{t+1}
+\]</span> This involves <span class="math inline">\(N_{i,
+j_{min}}^{t+1}\)</span> and <span class="math inline">\(N_{i,
+j_{min}+1}^{t+1}\)</span>. Comparing this to the general discretised
+equation translates to modifying the first row (<span class="math inline">\(j=j_{min}\)</span>) of our tri-diagonal
+matrices:</p>
+<ul>
+<li>The <span class="math inline">\(j_{min}-1\)</span> term does not
+exist, so <span class="math inline">\(A_{i,j_{min}} = 0\)</span>.</li>
+<li>The upward diffusion term from below the boundary is omitted, so
+<span class="math inline">\(B_{i, j_{min}}\)</span> does not have the
+<span class="math inline">\(\frac{1}{2} \frac{d_i(w_{j_{min}})}{\Delta
+w_{j_{min}-1}}\)</span> component: <span class="math display">\[
+B_{i,j_{min}} = 1 + \Delta t \mu_i(w_{j_{min}}) + \frac{\Delta t}{\Delta
+w_{j_{min}}} \left( g_i(w_{j_{min}}) + \frac{1}{2}
+\frac{d_i(w_{j_{min}})}{\Delta w_{j_{min}}} \right) \]</span>
+</li>
+<li>The coefficient <span class="math inline">\(C_{i, j_{min}}\)</span>
+remains unchanged from the general formula.</li>
+<li>The recruitment flux enters as a source term, so it is added to the
+right-hand side <span class="math inline">\(S_{i, j_{min}}\)</span>:
+<span class="math display">\[ S_{i,j_{min}} = N_{i,j_{min}}^t +
+\frac{\Delta t}{\Delta w_{j_{min}}} R_{dd, i} \]</span>
+</li>
+</ul>
+<p>(Additionally, for any size classes below the recruitment size <span class="math inline">\(j &lt; j_{min}\)</span>, we set all coefficients
+in the matrices <span class="math inline">\(A\)</span>, <span class="math inline">\(B\)</span>, <span class="math inline">\(C\)</span>
+and vector <span class="math inline">\(S\)</span> to <span class="math inline">\(0\)</span> to avoid any dynamics in that
+range).</p>
+<p><strong>At the largest size (<span class="math inline">\(j=j_{max}\)</span>):</strong> We typically assume
+that densities drop to zero beyond the maximum size, <span class="math inline">\(N_{i, j_{max}+1} = 0\)</span>. The flux leaving
+the grid is: <span class="math display">\[ J_{i, j_{max}+1} =
+g_i(w_{j_{max}}) N_{i, j_{max}} - \frac{1}{2} \frac{0 - d_i(w_{j_{max}})
+N_{i, j_{max}}}{\Delta w_{j_{max}}} \]</span> This means the term <span class="math inline">\(C_{i, j_{max}}\)</span> multiplying <span class="math inline">\(N_{i, j_{max}+1}^{t+1}\)</span> is not needed, so
+<span class="math inline">\(C_{i, j_{max}} = 0\)</span>. The
+coefficients <span class="math inline">\(A_{i, j_{max}}\)</span> and
+<span class="math inline">\(B_{i, j_{max}}\)</span> use the standard
+formulas.</p>
+</div>
+<div class="section level3">
+<h3 id="numerical-diffusion">Numerical Diffusion<a class="anchor" aria-label="anchor" href="#numerical-diffusion"></a>
+</h3>
+<p>The upwind scheme used for the advective term introduces numerical
+diffusion. This is a well-known property of first-order upwind schemes.
+We can estimate the magnitude of this diffusion by expanding the
+discretised term using a Taylor series.</p>
+<p>The discretised equation for the transport (advection only, with
+constant rates for simplicity) is: <span class="math display">\[
+\frac{N_j^{t+1} - N_j^t}{\Delta t} + g \frac{N_j^{t+1} -
+N_{j-1}^{t+1}}{\Delta w} = 0 \]</span> Expanding <span class="math inline">\(N(w, t)\)</span> around <span class="math inline">\((w_j, t+\Delta t)\)</span> leads to the following
+leading order error terms: <span class="math display">\[ \frac{\partial
+N}{\partial t} + g \frac{\partial N}{\partial w} = \frac{g \Delta w}{2}
+\left( 1 + \frac{g \Delta t}{\Delta w} \right) \frac{\partial^2
+N}{\partial w^2} \]</span> The coefficient of the second derivative
+represents the numerical diffusivity: <span class="math display">\[
+D_{num} = \frac{g \Delta w}{2} (1 + C) \]</span> where <span class="math inline">\(C = \frac{g \Delta t}{\Delta w}\)</span> is the
+Courant-Friedrichs-Lewy (CFL) number. Comparing this to the Mizer
+diffusion equation form (where the diffusion term is <span class="math inline">\(\frac{\partial}{\partial w} ( \frac{1}{2}
+\frac{\partial (D N)}{\partial w} )\)</span>), the effective diffusion
+parameter is: <span class="math display">\[ d_{num}(w) \approx g(w)
+\Delta w (1 + C(w)) \]</span> Since <span class="math inline">\(\Delta w
+\approx w \ln(\beta)\)</span>, this is: <span class="math display">\[
+d_{num}(w) \approx g(w) w \ln(\beta) \left( 1 + \frac{g(w) \Delta t}{w
+\ln(\beta)} \right) = g(w) w \ln(\beta) + g(w)^2 \Delta t \]</span> This
+means the numerical scheme behaves as if there is a diffusion <span class="math inline">\(d_{num}\)</span>. This numerical diffusion has two
+components: one from spatial discretisation (scaling with <span class="math inline">\(\Delta w\)</span>) and one from time stepping
+(scaling with <span class="math inline">\(\Delta t\)</span>).</p>
+</div>
+<div class="section level3">
+<h3 id="steady-state-solution">Steady-State Solution<a class="anchor" aria-label="anchor" href="#steady-state-solution"></a>
+</h3>
+<p>When solving the steady-state ODE instead of the time-dependent PDE,
+we are looking for a state where the population densities do not change
+over time, meaning <span class="math inline">\(N_{i,j}^{t+1} = N_{i,j}^t
+= N_{i,j}^*\)</span>.</p>
+<p>Substituting this into our discretised linear system: <span class="math display">\[
+A_{i,j} N_{i,j-1}^* + B_{i,j} N_{i,j}^* + C_{i,j} N_{i,j+1}^* = S_{i,j}
+\]</span> Recall that for <span class="math inline">\(j &gt;
+j_{min}\)</span>, <span class="math inline">\(S_{i,j} =
+N_{i,j}^t\)</span>. The equation simplifies to: <span class="math display">\[
+A_{i,j} N_{i,j-1}^* + (B_{i,j} - 1) N_{i,j}^* + C_{i,j} N_{i,j+1}^* = 0
+\]</span></p>
+<p>To find the steady-state population densities <span class="math inline">\(N^*\)</span>, we formulate a new time-independent
+tridiagonal system: <span class="math display">\[
+\tilde{A}_{i,j} N_{i,j-1}^* + \tilde{B}_{i,j} N_{i,j}^* +
+\tilde{C}_{i,j} N_{i,j+1}^* = \tilde{S}_{i,j}
+\]</span> To eliminate the explicit dependence on the time step <span class="math inline">\(\Delta t\)</span>, we can divide the equation by
+<span class="math inline">\(\Delta t\)</span>. The modified coefficients
+<span class="math inline">\(\tilde{A}, \tilde{B}, \tilde{C}\)</span>
+defining the new tri-diagonal system are: <span class="math display">\[
+\begin{aligned}
+\tilde{A}_{i,j} &amp;= \frac{A_{i,j}}{\Delta t} = -\frac{1}{\Delta w_j}
+\left( g_i(w_{j-1}) + \frac{1}{2} \frac{d_i(w_{j-1})}{\Delta w_{j-1}}
+\right) \\
+\tilde{C}_{i,j} &amp;= \frac{C_{i,j}}{\Delta t} = -\frac{1}{\Delta w_j}
+\left( \frac{1}{2} \frac{d_i(w_{j+1})}{\Delta w_j} \right) \\
+\tilde{B}_{i,j} &amp;= \frac{B_{i,j} - 1}{\Delta t} = \mu_i(w_j) +
+\frac{1}{\Delta w_j} \left( g_i(w_j) + \frac{1}{2}
+\frac{d_i(w_j)}{\Delta w_j} + \frac{1}{2} \frac{d_i(w_j)}{\Delta
+w_{j-1}} \right)
+\end{aligned}
+\]</span> Notice that <span class="math inline">\(\tilde{A}_{i,j}\)</span> and <span class="math inline">\(\tilde{C}_{i,j}\)</span> are exactly the
+expressions for <span class="math inline">\(A_{i,j}\)</span> and <span class="math inline">\(C_{i,j}\)</span> evaluated at <span class="math inline">\(\Delta t = 1\)</span>. Similarly, <span class="math inline">\(\tilde{B}_{i,j}\)</span> is exactly the expression
+for <span class="math inline">\(B_{i,j} - 1\)</span> evaluated at <span class="math inline">\(\Delta t = 1\)</span>.</p>
+<p><strong>Boundary conditions for the steady state:</strong></p>
+<p>For the smallest size (<span class="math inline">\(j=j_{min}\)</span>), the original equation had a
+source term due to recruitment: <span class="math display">\[
+S_{i, j_{min}} = N_{i,j_{min}}^t + \frac{\Delta t}{\Delta w_{j_{min}}}
+R_{dd, i}
+\]</span> Following the same logic of setting <span class="math inline">\(N^{t+1} = N^t = N^*\)</span> and dividing by <span class="math inline">\(\Delta t\)</span>, the right-hand side vector
+<span class="math inline">\(\tilde{S}_{i,j}\)</span> for the
+steady-state system becomes purely the recruitment flux term. If we
+again observe the original term <span class="math inline">\(\frac{\Delta
+t}{\Delta w_{j_{min}}} R_{dd, i}\)</span> when evaluated at <span class="math inline">\(\Delta t = 1\)</span>, we get our new source
+vector: <span class="math display">\[
+\tilde{S}_{i, j_{min}} = \frac{R_{dd, i}}{\Delta w_{j_{min}}}
+\]</span> For all other <span class="math inline">\(j &gt;
+j_{min}\)</span>, <span class="math inline">\(\tilde{S}_{i,j} =
+0\)</span>.</p>
+<p>The boundary condition modifications at the edges of the grid remain
+the same conceptually: <span class="math inline">\(\tilde{A}_{i,j_{min}}
+= 0\)</span>, the upward diffusion term is omitted from <span class="math inline">\(\tilde{B}_{i, j_{min}}\)</span>, and <span class="math inline">\(\tilde{C}_{i, j_{max}} = 0\)</span>. For any <span class="math inline">\(j &lt; j_{min}\)</span>, all matrix entries remain
+zero.</p>
+<p>In code, this means that the steady-state coefficients for the matrix
+multiplication (<span class="math inline">\(\tilde{A}, \tilde{B},
+\tilde{C}\)</span>) and the constant vector (<span class="math inline">\(\tilde{S}\)</span>) can be calculated by calling
+the standard coefficient function but simply setting <span class="math inline">\(\Delta t = 1\)</span>, and dropping the <span class="math inline">\(+1\)</span> and <span class="math inline">\(+N_{i,j}^t\)</span> from the resulting <span class="math inline">\(B\)</span> and <span class="math inline">\(S\)</span> variables respectively.</p>
+<p>With these modified matrices, the steady-state densities can be
+calculated directly by solving the linear system avoiding the need to
+iterate step by step over time.</p>
+</div>
+</div>
+<div class="section level2">
+<h2 id="resource-dynamics">Resource Dynamics<a class="anchor" aria-label="anchor" href="#resource-dynamics"></a>
+</h2>
+<p>The resource spectrum <span class="math inline">\(N_R(w)\)</span> is
+also updated using a similar Euler method, but often with a different
+equation. For example, if semi-chemostat dynamics are used: <span class="math display">\[
+\frac{\partial N_R}{\partial t} = r_R(c_R - N_R) - \mu_R N_R.
+\]</span> The discretised update is: <span class="math display">\[
+\frac{N_{R,j}^{t+1} - N_{R,j}^t}{\Delta t} = r_R(w_j) (c_R(w_j) -
+N_{R,j}^{t+1}) - \mu_R(w_j) N_{R,j}^{t+1}.
+\]</span> Solving for <span class="math inline">\(N_{R,j}^{t+1}\)</span>: <span class="math display">\[
+N_{R,j}^{t+1} = \frac{N_{R,j}^t + \Delta t r_R(w_j) c_R(w_j)}{1 + \Delta
+t (r_R(w_j) + \mu_R(w_j))}.
+\]</span></p>
+</div>
+<div class="section level2">
+<h2 id="summary-of-the-algorithm">Summary of the Algorithm<a class="anchor" aria-label="anchor" href="#summary-of-the-algorithm"></a>
+</h2>
+<p>In each time step <span class="math inline">\(\Delta t\)</span>, the
+<code><a href="../reference/project.html">project()</a></code> function performs the following steps:</p>
+<ol style="list-style-type: decimal">
+<li>
+<strong>Calculate Rates</strong>: Calculate the biological rates
+(growth <span class="math inline">\(g_i\)</span>, mortality <span class="math inline">\(\mu_i\)</span>, recruitment <span class="math inline">\(R_{dd, i}\)</span>) and diffusion coefficients
+<span class="math inline">\(d_i\)</span> based on the current population
+densities <span class="math inline">\(N^t\)</span>.</li>
+<li>
+<strong>Resource Update</strong>: Update the resource density <span class="math inline">\(N_R^{t+1}\)</span> using the explicit rates and
+implicit density.</li>
+<li>
+<strong>Consumer Update</strong>: Update the consumer densities
+<span class="math inline">\(N_i^{t+1}\)</span> by solving the
+tridiagonal system for each species.
+<ul>
+<li>Combine the recruitment flux <span class="math inline">\(R_{dd,
+i}\)</span> with the boundary conditions.</li>
+<li>Use a tridiagonal solver (e.g., Thomas algorithm).</li>
+</ul>
+</li>
+<li>
+<strong>Advance Time</strong>: <span class="math inline">\(t
+\leftarrow t + \Delta t\)</span>.</li>
+</ol>
+<p>This split between calculating rates explicitly and solving densities
+implicitly is what makes the scheme “semi-implicit”.</p>
+</div>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside>
+</div>
+
+
+
+    <footer><div class="pkgdown-footer-left">
+  <p>Developed by <a href="https://www.york.ac.uk/maths/staff/gustav-delius/" class="external-link">Gustav Delius</a>, Finlay Scott, <a href="http://www.utas.edu.au/profiles/staff/imas/julia-blanchard" class="external-link">Julia Blanchard</a>, <a href="https://ken.haste.dk/" class="external-link">Ken Andersen</a>.</p>
+</div>
+
+<div class="pkgdown-footer-right">
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
+</div>
+
+    </footer>
+</div>
+
+
+
+
+
+  </body>
+</html>
diff --git a/docs/articles/plotting.html b/docs/articles/plotting.html
index 273751086..62d218c52 100644
--- a/docs/articles/plotting.html
+++ b/docs/articles/plotting.html
@@ -17,7 +17,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
 <link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
 <script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet">
 <link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet">
@@ -31,7 +31,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -54,13 +54,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -73,6 +81,7 @@
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
       </ul>
 <ul class="navbar-nav">
+<li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
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  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json">
 </form></li>
@@ -96,10 +105,10 @@
 
 
 
-<link href="plotting_files/htmltools-fill-0.5.8.1/fill.css" rel="stylesheet">
-<script src="plotting_files/htmlwidgets-1.6.4/htmlwidgets.js"></script><script src="plotting_files/plotly-binding-4.11.0/plotly.js"></script><script src="plotting_files/typedarray-0.1/typedarray.min.js"></script><link href="plotting_files/crosstalk-1.2.2/css/crosstalk.min.css" rel="stylesheet">
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-<script src="plotting_files/plotly-main-2.11.1/plotly-latest.min.js"></script><div class="row">
+<link href="plotting_files/htmltools-fill-0.5.9/fill.css" rel="stylesheet">
+<script src="plotting_files/htmlwidgets-1.6.4/htmlwidgets.js"></script><script src="plotting_files/plotly-binding-4.12.0/plotly.js"></script><script src="plotting_files/typedarray-0.1/typedarray.min.js"></script><link href="plotting_files/crosstalk-1.2.2/css/crosstalk.min.css" rel="stylesheet">
+<script src="plotting_files/crosstalk-1.2.2/js/crosstalk.min.js"></script><link href="plotting_files/plotly-htmlwidgets-css-2.25.2/plotly-htmlwidgets.css" rel="stylesheet">
+<script src="plotting_files/plotly-main-2.25.2/plotly-latest.min.js"></script><div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Using ggplot2 and plotly with mizer</h1>
             
@@ -154,10 +163,172 @@ <h2 id="from-arrays-to-data-frames">From arrays to data frames<a class="anchor"
 <div class="sourceCode" id="cb4"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="va">biomass</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/getBiomass.html">getBiomass</a></span><span class="op">(</span><span class="va">sim</span><span class="op">)</span></span>
 <span><span class="fu"><a href="https://rdrr.io/r/utils/str.html" class="external-link">str</a></span><span class="op">(</span><span class="va">biomass</span><span class="op">)</span></span></code></pre></div>
-<pre><code><span><span class="co">##  num [1:21, 1:12] 8.77e+07 2.52e+09 3.21e+09 7.50e+08 2.09e+08 ...</span></span>
+<pre><code><span><span class="co">##  'ArraySpeciesByTime' num [1:21, 1:12] 8.77e+07 2.52e+09 3.21e+09 7.50e+08 2.09e+08 ...</span></span>
 <span><span class="co">##  - attr(*, "dimnames")=List of 2</span></span>
 <span><span class="co">##   ..$ time: chr [1:21] "0" "0.5" "1" "1.5" ...</span></span>
-<span><span class="co">##   ..$ sp  : chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span></span></code></pre>
+<span><span class="co">##   ..$ sp  : chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span></span>
+<span><span class="co">##  - attr(*, "value_name")= chr "Biomass"</span></span>
+<span><span class="co">##  - attr(*, "units")= chr "g"</span></span>
+<span><span class="co">##  - attr(*, "params")=Formal class 'MizerParams' [package "mizer"] with 46 slots</span></span>
+<span><span class="co">##   .. ..@ metadata               : list()</span></span>
+<span><span class="co">##   .. ..@ mizer_version          :Classes 'package_version', 'numeric_version'  hidden list of 1</span></span>
+<span><span class="co">##   .. .. ..$ : int [1:4] 2 5 4 9125</span></span>
+<span><span class="co">##   .. ..@ extensions             : chr(0) </span></span>
+<span><span class="co">##   .. ..@ time_created           : POSIXct[1:1], format: "2026-05-07 18:49:22"</span></span>
+<span><span class="co">##   .. ..@ time_modified          : POSIXct[1:1], format: "2026-05-07 18:49:22"</span></span>
+<span><span class="co">##   .. ..@ w                      : num [1:100] 0.001 0.00119 0.00142 0.0017 0.00203 ...</span></span>
+<span><span class="co">##   .. ..@ dw                     : num [1:100] 0.000193 0.000231 0.000275 0.000329 0.000392 ...</span></span>
+<span><span class="co">##   .. ..@ w_full                 : num [1:218] 8.73e-13 1.04e-12 1.24e-12 1.48e-12 1.77e-12 ...</span></span>
+<span><span class="co">##   .. ..@ dw_full                : num [1:218] 1.69e-13 2.01e-13 2.40e-13 2.87e-13 3.42e-13 ...</span></span>
+<span><span class="co">##   .. ..@ w_min_idx              : Named num [1:12] 1 1 1 1 1 1 1 1 1 1 ...</span></span>
+<span><span class="co">##   .. .. ..- attr(*, "names")= chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span></span>
+<span><span class="co">##   .. ..@ maturity               : num [1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ...</span></span>
+<span><span class="co">##   .. .. ..- attr(*, "dimnames")=List of 2</span></span>
+<span><span class="co">##   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span></span>
+<span><span class="co">##   .. .. .. ..$ w : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span></span>
+<span><span class="co">##   .. ..@ psi                    : num [1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ...</span></span>
+<span><span class="co">##   .. .. ..- attr(*, "dimnames")=List of 2</span></span>
+<span><span class="co">##   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span></span>
+<span><span class="co">##   .. .. .. ..$ w : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span></span>
+<span><span class="co">##   .. ..@ initial_n              : num [1:12, 1:100] 3.03e+09 2.77e+09 9.62e+08 2.77e+08 2.86e+08 ...</span></span>
+<span><span class="co">##   .. .. ..- attr(*, "dimnames")=List of 2</span></span>
+<span><span class="co">##   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span></span>
+<span><span class="co">##   .. .. .. ..$ w : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span></span>
+<span><span class="co">##   .. ..@ intake_max             : num [1:12, 1:100] 0.145 0.284 0.307 0.312 0.347 ...</span></span>
+<span><span class="co">##   .. .. ..- attr(*, "dimnames")=List of 2</span></span>
+<span><span class="co">##   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span></span>
+<span><span class="co">##   .. .. .. ..$ w : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span></span>
+<span><span class="co">##   .. ..@ search_vol             : num [1:12, 1:100] 4.08e-13 3.02e-13 6.90e-13 1.99e-13 5.43e-13 ...</span></span>
+<span><span class="co">##   .. .. ..- attr(*, "dimnames")=List of 2</span></span>
+<span><span class="co">##   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span></span>
+<span><span class="co">##   .. .. .. ..$ w : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span></span>
+<span><span class="co">##   .. ..@ metab                  : num [1:12, 1:100] 0.0127 0.0258 0.0264 0.0255 0.0299 ...</span></span>
+<span><span class="co">##   .. .. ..- attr(*, "dimnames")=List of 2</span></span>
+<span><span class="co">##   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span></span>
+<span><span class="co">##   .. .. .. ..$ w : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span></span>
+<span><span class="co">##   .. ..@ pred_kernel            : logi [1(1d)] NA</span></span>
+<span><span class="co">##   .. ..@ ft_pred_kernel_e       : cplx [1:12, 1:218] 11.3+0i 26.9+0i 20.8+0i ...</span></span>
+<span><span class="co">##   .. .. ..- attr(*, "dimnames")=List of 2</span></span>
+<span><span class="co">##   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span></span>
+<span><span class="co">##   .. .. .. ..$ k : chr [1:218] "1" "2" "3" "4" ...</span></span>
+<span><span class="co">##   .. ..@ ft_pred_kernel_p       : cplx [1:12, 1:218] 11.3+0i 26.9+0i 20.8+0i ...</span></span>
+<span><span class="co">##   .. .. ..- attr(*, "dimnames")=List of 2</span></span>
+<span><span class="co">##   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span></span>
+<span><span class="co">##   .. .. .. ..$ k : chr [1:218] "1" "2" "3" "4" ...</span></span>
+<span><span class="co">##   .. ..@ mu_b                   : num [1:12, 1:100] 0.1871 0.1817 0.1293 0.0865 0.0874 ...</span></span>
+<span><span class="co">##   .. .. ..- attr(*, "dimnames")=List of 2</span></span>
+<span><span class="co">##   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span></span>
+<span><span class="co">##   .. .. .. ..$ w : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span></span>
+<span><span class="co">##   .. ..@ ext_encounter          : num [1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ...</span></span>
+<span><span class="co">##   .. .. ..- attr(*, "dimnames")=List of 2</span></span>
+<span><span class="co">##   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span></span>
+<span><span class="co">##   .. .. .. ..$ w : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span></span>
+<span><span class="co">##   .. ..@ ext_diffusion          : num [1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ...</span></span>
+<span><span class="co">##   .. .. ..- attr(*, "dimnames")=List of 2</span></span>
+<span><span class="co">##   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span></span>
+<span><span class="co">##   .. .. .. ..$ w : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span></span>
+<span><span class="co">##   .. ..@ rr_pp                  : Named num [1:218] 104642 98654 93009 87686 82669 ...</span></span>
+<span><span class="co">##   .. .. ..- attr(*, "names")= chr [1:218] "8.73e-13" "1.04e-12" "1.24e-12" "1.48e-12" ...</span></span>
+<span><span class="co">##   .. ..@ cc_pp                  : Named num [1:218] 5.26e+35 3.66e+35 2.55e+35 1.77e+35 1.23e+35 ...</span></span>
+<span><span class="co">##   .. .. ..- attr(*, "names")= chr [1:218] "8.73e-13" "1.04e-12" "1.24e-12" "1.48e-12" ...</span></span>
+<span><span class="co">##   .. ..@ resource_dynamics      : chr "resource_semichemostat"</span></span>
+<span><span class="co">##   .. ..@ resource_params        :List of 4</span></span>
+<span><span class="co">##   .. .. ..$ kappa      : num 1e+11</span></span>
+<span><span class="co">##   .. .. ..$ lambda     : num 2.05</span></span>
+<span><span class="co">##   .. .. ..$ w_pp_cutoff: num 10</span></span>
+<span><span class="co">##   .. .. ..$ n          : num 0.667</span></span>
+<span><span class="co">##   .. ..@ other_dynamics         : list()</span></span>
+<span><span class="co">##   .. ..@ other_params           : list()</span></span>
+<span><span class="co">##   .. ..@ other_encounter        : list()</span></span>
+<span><span class="co">##   .. ..@ other_mort             : list()</span></span>
+<span><span class="co">##   .. ..@ rates_funcs            :List of 14</span></span>
+<span><span class="co">##   .. .. ..$ Rates          : chr "mizerRates"</span></span>
+<span><span class="co">##   .. .. ..$ Encounter      : chr "mizerEncounter"</span></span>
+<span><span class="co">##   .. .. ..$ FeedingLevel   : chr "mizerFeedingLevel"</span></span>
+<span><span class="co">##   .. .. ..$ EReproAndGrowth: chr "mizerEReproAndGrowth"</span></span>
+<span><span class="co">##   .. .. ..$ PredRate       : chr "mizerPredRate"</span></span>
+<span><span class="co">##   .. .. ..$ PredMort       : chr "mizerPredMort"</span></span>
+<span><span class="co">##   .. .. ..$ FMort          : chr "mizerFMort"</span></span>
+<span><span class="co">##   .. .. ..$ Mort           : chr "mizerMort"</span></span>
+<span><span class="co">##   .. .. ..$ ERepro         : chr "mizerERepro"</span></span>
+<span><span class="co">##   .. .. ..$ EGrowth        : chr "mizerEGrowth"</span></span>
+<span><span class="co">##   .. .. ..$ Diffusion      : chr "mizerDiffusion"</span></span>
+<span><span class="co">##   .. .. ..$ ResourceMort   : chr "mizerResourceMort"</span></span>
+<span><span class="co">##   .. .. ..$ RDI            : chr "mizerRDI"</span></span>
+<span><span class="co">##   .. .. ..$ RDD            : chr "BevertonHoltRDD"</span></span>
+<span><span class="co">##   .. ..@ sc                     : num [1:100] 0.001 0.00119 0.00142 0.0017 0.00203 ...</span></span>
+<span><span class="co">##   .. ..@ initial_n_pp           : Named num [1:218] 5.26e+35 3.66e+35 2.55e+35 1.77e+35 1.23e+35 ...</span></span>
+<span><span class="co">##   .. .. ..- attr(*, "names")= chr [1:218] "8.73e-13" "1.04e-12" "1.24e-12" "1.48e-12" ...</span></span>
+<span><span class="co">##   .. ..@ initial_n_other        : list()</span></span>
+<span><span class="co">##   .. ..@ species_params         :'data.frame':   12 obs. of  29 variables:</span></span>
+<span><span class="co">##   .. .. ..$ species             : chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span></span>
+<span><span class="co">##   .. .. ..$ w_max               : num [1:12] 33 36 100 334 324 ...</span></span>
+<span><span class="co">##   .. .. ..$ w_mat               : int [1:12] 13 4 23 99 21 75 78 39 105 165 ...</span></span>
+<span><span class="co">##   .. .. ..$ beta                : int [1:12] 51076 398849 22 280540 191 22 381 283 113 558 ...</span></span>
+<span><span class="co">##   .. .. ..$ sigma               : num [1:12] 0.8 1.9 1.5 3.2 1.9 1.5 1.9 1.8 1.6 2.1 ...</span></span>
+<span><span class="co">##   .. .. ..$ k_vb                : num [1:12] 0.681 1 0.849 0.606 0.536 0.323 0.284 0.266 0.122 0.271 ...</span></span>
+<span><span class="co">##   .. .. ..$ R_max               : num [1:12] 7.38e+11 4.10e+11 1.05e+13 1.11e+12 1.12e+10 ...</span></span>
+<span><span class="co">##   .. .. ..$ w_inf               : num [1:12] 33 36 100 334 324 ...</span></span>
+<span><span class="co">##   .. .. ..$ n                   : num [1:12] 0.667 0.667 0.667 0.667 0.667 ...</span></span>
+<span><span class="co">##   .. .. ..$ p                   : num [1:12] 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 ...</span></span>
+<span><span class="co">##   .. .. ..$ w_min               : num [1:12] 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 ...</span></span>
+<span><span class="co">##   .. .. ..$ w_repro_max         : num [1:12] 33 36 100 334 324 ...</span></span>
+<span><span class="co">##   .. .. ..$ alpha               : num [1:12] 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 ...</span></span>
+<span><span class="co">##   .. .. ..$ interaction_resource: num [1:12] 1 1 1 1 1 1 1 1 1 1 ...</span></span>
+<span><span class="co">##   .. .. ..$ z_ext               : num [1:12] 0 0 0 0 0 0 0 0 0 0 ...</span></span>
+<span><span class="co">##   .. .. ..$ d                   : num [1:12] -0.333 -0.333 -0.333 -0.333 -0.333 ...</span></span>
+<span><span class="co">##   .. .. ..$ E_ext               : num [1:12] 0 0 0 0 0 0 0 0 0 0 ...</span></span>
+<span><span class="co">##   .. .. ..$ D_ext               : num [1:12] 0 0 0 0 0 0 0 0 0 0 ...</span></span>
+<span><span class="co">##   .. .. ..$ is_background       : logi [1:12] FALSE FALSE FALSE FALSE FALSE FALSE ...</span></span>
+<span><span class="co">##   .. .. ..$ pred_kernel_type    : chr [1:12] "lognormal" "lognormal" "lognormal" "lognormal" ...</span></span>
+<span><span class="co">##   .. .. ..$ h                   : num [1:12] 14.5 28.4 30.7 31.2 34.7 ...</span></span>
+<span><span class="co">##   .. .. ..$ k                   : num [1:12] 0 0 0 0 0 0 0 0 0 0 ...</span></span>
+<span><span class="co">##   .. .. ..$ ks                  : num [1:12] 1.6 3.25 3.32 3.21 3.76 ...</span></span>
+<span><span class="co">##   .. .. ..$ z0                  : num [1:12] 0.1871 0.1817 0.1293 0.0865 0.0874 ...</span></span>
+<span><span class="co">##   .. .. ..$ q                   : num [1:12] 0.717 0.717 0.717 0.717 0.717 ...</span></span>
+<span><span class="co">##   .. .. ..$ gamma               : num [1:12] 5.77e-11 4.27e-11 9.75e-11 2.81e-11 7.66e-11 ...</span></span>
+<span><span class="co">##   .. .. ..$ w_mat25             : num [1:12] 11.65 3.58 20.61 88.7 18.82 ...</span></span>
+<span><span class="co">##   .. .. ..$ m                   : num [1:12] 1 1 1 1 1 1 1 1 1 1 ...</span></span>
+<span><span class="co">##   .. .. ..$ erepro              : num [1:12] 1 1 1 1 1 1 1 1 1 1 ...</span></span>
+<span><span class="co">##   .. ..@ given_species_params   :'data.frame':   12 obs. of  10 variables:</span></span>
+<span><span class="co">##   .. .. ..$ species: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span></span>
+<span><span class="co">##   .. .. ..$ w_max  : num [1:12] 33 36 100 334 324 ...</span></span>
+<span><span class="co">##   .. .. ..$ w_mat  : int [1:12] 13 4 23 99 21 75 78 39 105 165 ...</span></span>
+<span><span class="co">##   .. .. ..$ beta   : int [1:12] 51076 398849 22 280540 191 22 381 283 113 558 ...</span></span>
+<span><span class="co">##   .. .. ..$ sigma  : num [1:12] 0.8 1.9 1.5 3.2 1.9 1.5 1.9 1.8 1.6 2.1 ...</span></span>
+<span><span class="co">##   .. .. ..$ k_vb   : num [1:12] 0.681 1 0.849 0.606 0.536 0.323 0.284 0.266 0.122 0.271 ...</span></span>
+<span><span class="co">##   .. .. ..$ R_max  : num [1:12] 7.38e+11 4.10e+11 1.05e+13 1.11e+12 1.12e+10 ...</span></span>
+<span><span class="co">##   .. .. ..$ w_inf  : num [1:12] 33 36 100 334 324 ...</span></span>
+<span><span class="co">##   .. .. ..$ n      : num [1:12] 0.667 0.667 0.667 0.667 0.667 ...</span></span>
+<span><span class="co">##   .. .. ..$ p      : num [1:12] 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 ...</span></span>
+<span><span class="co">##   .. ..@ interaction            : num [1:12, 1:12] 1 1 1 1 1 1 1 1 1 1 ...</span></span>
+<span><span class="co">##   .. .. ..- attr(*, "dimnames")=List of 2</span></span>
+<span><span class="co">##   .. .. .. ..$ predator: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span></span>
+<span><span class="co">##   .. .. .. ..$ prey    : chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span></span>
+<span><span class="co">##   .. ..@ gear_params            :'data.frame':   12 obs. of  5 variables:</span></span>
+<span><span class="co">##   .. .. ..$ species        : chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span></span>
+<span><span class="co">##   .. .. ..$ gear           : chr [1:12] "knife_edge_gear" "knife_edge_gear" "knife_edge_gear" "knife_edge_gear" ...</span></span>
+<span><span class="co">##   .. .. ..$ sel_func       : chr [1:12] "knife_edge" "knife_edge" "knife_edge" "knife_edge" ...</span></span>
+<span><span class="co">##   .. .. ..$ knife_edge_size: int [1:12] 13 4 23 99 21 75 78 39 105 165 ...</span></span>
+<span><span class="co">##   .. .. ..$ catchability   : num [1:12] 1 1 1 1 1 1 1 1 1 1 ...</span></span>
+<span><span class="co">##   .. ..@ selectivity            : num [1, 1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ...</span></span>
+<span><span class="co">##   .. .. ..- attr(*, "dimnames")=List of 3</span></span>
+<span><span class="co">##   .. .. .. ..$ gear: chr "knife_edge_gear"</span></span>
+<span><span class="co">##   .. .. .. ..$ sp  : chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span></span>
+<span><span class="co">##   .. .. .. ..$ w   : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span></span>
+<span><span class="co">##   .. ..@ catchability           : num [1, 1:12] 1 1 1 1 1 1 1 1 1 1 ...</span></span>
+<span><span class="co">##   .. .. ..- attr(*, "dimnames")=List of 2</span></span>
+<span><span class="co">##   .. .. .. ..$ gear: chr "knife_edge_gear"</span></span>
+<span><span class="co">##   .. .. .. ..$ sp  : chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span></span>
+<span><span class="co">##   .. ..@ initial_effort         : Named num 0</span></span>
+<span><span class="co">##   .. .. ..- attr(*, "names")= chr "knife_edge_gear"</span></span>
+<span><span class="co">##   .. ..@ A                      : num [1:12] NA NA NA NA NA NA NA NA NA NA ...</span></span>
+<span><span class="co">##   .. ..@ linecolour             : Named chr [1:17] "#815f00" "#6237e2" "#8da600" "#de53ff" ...</span></span>
+<span><span class="co">##   .. .. ..- attr(*, "names")= chr [1:17] "Sprat" "Sandeel" "N.pout" "Herring" ...</span></span>
+<span><span class="co">##   .. ..@ linetype               : Named chr [1:17] "solid" "solid" "solid" "solid" ...</span></span>
+<span><span class="co">##   .. .. ..- attr(*, "names")= chr [1:17] "Sprat" "Sandeel" "N.pout" "Herring" ...</span></span>
+<span><span class="co">##   .. ..@ ft_mask                : logi [1:12, 1:218] TRUE TRUE TRUE TRUE TRUE TRUE ...</span></span>
+<span><span class="co">##   .. ..@ use_predation_diffusion: logi FALSE</span></span></code></pre>
 <p>This array can be converted with the <code><a href="https://rdrr.io/pkg/reshape2/man/melt.html" class="external-link">melt()</a></code> function to
 a data frame that contains one row for each entry in the array.</p>
 <div class="sourceCode" id="cb6"><pre class="downlit sourceCode r">
@@ -178,7 +349,7 @@ <h2 id="ggplot2-or-plotly">ggplot2 or plotly<a class="anchor" aria-label="anchor
 <span>    <span class="fu"><a href="https://rdrr.io/pkg/plotly/man/add_trace.html" class="external-link">add_lines</a></span><span class="op">(</span>x <span class="op">=</span> <span class="op">~</span><span class="va">time</span>, y <span class="op">=</span> <span class="op">~</span><span class="va">value</span>, color <span class="op">=</span> <span class="op">~</span><span class="va">sp</span><span class="op">)</span></span>
 <span><span class="va">pp</span></span></code></pre></div>
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color":"rgba(179,179,179,1)"},"error_x":{"color":"rgba(179,179,179,1)"},"line":{"color":"rgba(179,179,179,1)"},"xaxis":"x","yaxis":"y","frame":null}],"highlight":{"on":"plotly_click","persistent":false,"dynamic":false,"selectize":false,"opacityDim":0.20000000000000001,"selected":{"opacity":1},"debounce":0},"shinyEvents":["plotly_hover","plotly_click","plotly_selected","plotly_relayout","plotly_brushed","plotly_brushing","plotly_clickannotation","plotly_doubleclick","plotly_deselect","plotly_afterplot","plotly_sunburstclick"],"base_url":"https://plot.ly"},"evals":[],"jsHooks":[]}</script><p>We have specified that the time is plotted along the x axis, the
 value along the y axis and that the different species are represented by
 the colours of the lines. Note the American spelling “color” required by
 plotly.</p>
@@ -188,7 +359,7 @@ <h2 id="ggplot2-or-plotly">ggplot2 or plotly<a class="anchor" aria-label="anchor
 <code class="sourceCode R"><span><span class="va">pg</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/ggplot.html" class="external-link">ggplot</a></span><span class="op">(</span><span class="va">biomass_frame</span><span class="op">)</span> <span class="op">+</span></span>
 <span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/geom_path.html" class="external-link">geom_line</a></span><span class="op">(</span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/aes.html" class="external-link">aes</a></span><span class="op">(</span>x <span class="op">=</span> <span class="va">time</span>, y <span class="op">=</span> <span class="va">value</span>, colour <span class="op">=</span> <span class="va">sp</span><span class="op">)</span><span class="op">)</span></span>
 <span><span class="va">pg</span></span></code></pre></div>
-<p><img src="plotting_files/figure-html/unnamed-chunk-7-1.png" class="r-plt" width="700"></p>
+<p><img src="plotting_files/figure-html/unnamed-chunk-7-1.png" class="r-plt" alt="" width="700"></p>
 <p>Notice the different syntax for the ggplot2 and for plotly packages.
 The underlying ideas are similar: they are both implementations of the
 grammar of graphics. I recommend learning ggplot2 first, and switching
@@ -201,7 +372,7 @@ <h2 id="ggplot2-or-plotly">ggplot2 or plotly<a class="anchor" aria-label="anchor
 <div class="sourceCode" id="cb10"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/pkg/plotly/man/ggplotly.html" class="external-link">ggplotly</a></span><span class="op">(</span><span class="va">pg</span><span class="op">)</span></span></code></pre></div>
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(y) ","x"]},"highlight":{"on":"plotly_click","persistent":false,"dynamic":false,"selectize":false,"opacityDim":0.20000000000000001,"selected":{"opacity":1},"debounce":0},"shinyEvents":["plotly_hover","plotly_click","plotly_selected","plotly_relayout","plotly_brushed","plotly_brushing","plotly_clickannotation","plotly_doubleclick","plotly_deselect","plotly_afterplot","plotly_sunburstclick"],"base_url":"https://plot.ly"},"evals":[],"jsHooks":[]}</script><p>Below we will always for each plot first give the ggplot code and
 then the plotly code.</p>
 </div>
 <div class="section level2">
@@ -213,7 +384,7 @@ <h2 id="adding-labels">Adding labels<a class="anchor" aria-label="anchor" href="
 <code class="sourceCode R"><span><span class="va">pg</span> <span class="op">+</span> <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/labs.html" class="external-link">labs</a></span><span class="op">(</span>title <span class="op">=</span> <span class="st">"Biomass plot"</span>,</span>
 <span>          x <span class="op">=</span> <span class="st">"Time [years]"</span>,</span>
 <span>          y <span class="op">=</span> <span class="st">"Biomass [g]"</span><span class="op">)</span></span></code></pre></div>
-<p><img src="plotting_files/figure-html/unnamed-chunk-9-1.png" class="r-plt" width="700"></p>
+<p><img src="plotting_files/figure-html/unnamed-chunk-9-1.png" class="r-plt" alt="" width="700"></p>
 <p>In plotly we use the <code>layout()</code> function.</p>
 <div class="sourceCode" id="cb12"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="va">pp</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span> <span class="fu">layout</span><span class="op">(</span></span>
@@ -226,7 +397,7 @@ <h2 id="adding-labels">Adding labels<a class="anchor" aria-label="anchor" href="
 <span>    <span class="op">)</span></span>
 <span><span class="op">)</span></span></code></pre></div>
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 </div>
 <div class="section level2">
 <h2 id="filtering-out-data">Filtering out data<a class="anchor" aria-label="anchor" href="#filtering-out-data"></a>
@@ -239,7 +410,7 @@ <h2 id="filtering-out-data">Filtering out data<a class="anchor" aria-label="anch
 <div class="sourceCode" id="cb14"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/ggplot.html" class="external-link">ggplot</a></span><span class="op">(</span><span class="va">two_species_biomass</span><span class="op">)</span> <span class="op">+</span></span>
 <span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/geom_path.html" class="external-link">geom_line</a></span><span class="op">(</span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/aes.html" class="external-link">aes</a></span><span class="op">(</span>x <span class="op">=</span> <span class="va">time</span>, y <span class="op">=</span> <span class="va">value</span>, color <span class="op">=</span> <span class="va">sp</span><span class="op">)</span><span class="op">)</span></span></code></pre></div>
-<p><img src="plotting_files/figure-html/unnamed-chunk-12-1.png" class="r-plt" width="700"></p>
+<p><img src="plotting_files/figure-html/unnamed-chunk-12-1.png" class="r-plt" alt="" width="700"></p>
 <p>In the above we first converted the array to a data frame with
 <code><a href="https://rdrr.io/pkg/reshape2/man/melt.html" class="external-link">melt()</a></code> and then selected the data of interest with
 <code><a href="https://dplyr.tidyverse.org/reference/filter.html" class="external-link">filter()</a></code>. We could alternatively have first selected only
@@ -249,7 +420,7 @@ <h2 id="filtering-out-data">Filtering out data<a class="anchor" aria-label="anch
 <code class="sourceCode R"><span><span class="va">nfr</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/reshape2/man/melt.html" class="external-link">melt</a></span><span class="op">(</span><span class="fu"><a href="../reference/getBiomass.html">getBiomass</a></span><span class="op">(</span><span class="va">sim</span><span class="op">)</span><span class="op">[</span>, <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"Gurnard"</span>, <span class="st">"Herring"</span><span class="op">)</span><span class="op">]</span><span class="op">)</span></span>
 <span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/ggplot.html" class="external-link">ggplot</a></span><span class="op">(</span><span class="va">nfr</span><span class="op">)</span> <span class="op">+</span></span>
 <span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/geom_path.html" class="external-link">geom_line</a></span><span class="op">(</span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/aes.html" class="external-link">aes</a></span><span class="op">(</span>x <span class="op">=</span> <span class="va">time</span>, y <span class="op">=</span> <span class="va">value</span>, color <span class="op">=</span> <span class="va">sp</span><span class="op">)</span><span class="op">)</span></span></code></pre></div>
-<p><img src="plotting_files/figure-html/unnamed-chunk-13-1.png" class="r-plt" width="700"></p>
+<p><img src="plotting_files/figure-html/unnamed-chunk-13-1.png" class="r-plt" alt="" width="700"></p>
 <p>The result looks almost identical, except that the colours associated
 to the species have changed.</p>
 </div>
@@ -272,7 +443,7 @@ <h2 id="specifying-line-colours">Specifying line colours<a class="anchor" aria-l
 <code class="sourceCode R"><span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/ggplot.html" class="external-link">ggplot</a></span><span class="op">(</span><span class="va">biomass_frame</span><span class="op">)</span> <span class="op">+</span></span>
 <span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/geom_path.html" class="external-link">geom_line</a></span><span class="op">(</span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/aes.html" class="external-link">aes</a></span><span class="op">(</span>x <span class="op">=</span> <span class="va">time</span>, y <span class="op">=</span> <span class="va">value</span>, color <span class="op">=</span> <span class="va">sp</span><span class="op">)</span><span class="op">)</span> <span class="op">+</span> </span>
 <span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/scale_manual.html" class="external-link">scale_colour_manual</a></span><span class="op">(</span>values <span class="op">=</span> <span class="fu"><a href="../reference/setColours.html">getColours</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span><span class="op">)</span></span></code></pre></div>
-<p><img src="plotting_files/figure-html/unnamed-chunk-15-1.png" class="r-plt" width="700"></p>
+<p><img src="plotting_files/figure-html/unnamed-chunk-15-1.png" class="r-plt" alt="" width="700"></p>
 <p>In plotly we add <code>colors = getColours(params)r</code> to the
 <code><a href="https://rdrr.io/pkg/plotly/man/add_trace.html" class="external-link">add_lines()</a></code> command:</p>
 <div class="sourceCode" id="cb19"><pre class="downlit sourceCode r">
@@ -280,7 +451,58 @@ <h2 id="specifying-line-colours">Specifying line colours<a class="anchor" aria-l
 <span>    <span class="fu"><a href="https://rdrr.io/pkg/plotly/man/add_trace.html" class="external-link">add_lines</a></span><span class="op">(</span>x <span class="op">=</span> <span class="op">~</span><span class="va">time</span>, y <span class="op">=</span> <span class="op">~</span><span class="va">value</span>, color <span class="op">=</span> <span class="op">~</span><span class="va">sp</span>,</span>
 <span>              colors <span class="op">=</span> <span class="fu"><a href="../reference/setColours.html">getColours</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span><span class="op">)</span></span></code></pre></div>
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1,251,1)"},"error_y":{"color":"rgba(160,141,251,1)"},"error_x":{"color":"rgba(160,141,251,1)"},"line":{"color":"rgba(160,141,251,1)"},"xaxis":"x","yaxis":"y","frame":null}],"highlight":{"on":"plotly_click","persistent":false,"dynamic":false,"selectize":false,"opacityDim":0.20000000000000001,"selected":{"opacity":1},"debounce":0},"shinyEvents":["plotly_hover","plotly_click","plotly_selected","plotly_relayout","plotly_brushed","plotly_brushing","plotly_clickannotation","plotly_doubleclick","plotly_deselect","plotly_afterplot","plotly_sunburstclick"],"base_url":"https://plot.ly"},"evals":[],"jsHooks":[]}</script><p>Again note the American spelling “colors” required by plotly.</p>
+</div>
+<div class="section level2">
+<h2 id="plotting-rate-functions">Plotting rate functions<a class="anchor" aria-label="anchor" href="#plotting-rate-functions"></a>
+</h2>
+<p>Functions such as <code><a href="../reference/getEncounter.html">getEncounter()</a></code>,
+<code><a href="../reference/getFeedingLevel.html">getFeedingLevel()</a></code>, <code><a href="../reference/getMort.html">getMort()</a></code>,
+<code><a href="../reference/getEGrowth.html">getEGrowth()</a></code> and others return an
+<code>ArraySpeciesBySize</code> object — a species × size matrix that
+carries a human-readable name and units. These objects have their own
+<code><a href="../reference/plot.html">plot()</a></code> method that produces a ggplot directly, so no
+<code><a href="https://rdrr.io/pkg/reshape2/man/melt.html" class="external-link">melt()</a></code> step is needed:</p>
+<div class="sourceCode" id="cb20"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">fl</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/getFeedingLevel.html">getFeedingLevel</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span></span>
+<span><span class="fu"><a href="../reference/plot.html">plot</a></span><span class="op">(</span><span class="va">fl</span><span class="op">)</span></span></code></pre></div>
+<p><img src="plotting_files/figure-html/unnamed-chunk-17-1.png" class="r-plt" alt="" width="700"></p>
+<p>The <code>params</code> argument is optional but recommended: it
+supplies the species colours, linetypes, and size ranges stored in the
+<code>MizerParams</code> object, and it restricts each species’ curve to
+its natural size range (<code>w_min</code> to <code>w_max</code>).</p>
+<p>You can select a subset of species with the <code>species</code>
+argument:</p>
+<div class="sourceCode" id="cb21"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="fu"><a href="../reference/plot.html">plot</a></span><span class="op">(</span><span class="va">fl</span>, species <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"Cod"</span>, <span class="st">"Herring"</span>, <span class="st">"Sprat"</span><span class="op">)</span><span class="op">)</span></span></code></pre></div>
+<p><img src="plotting_files/figure-html/unnamed-chunk-18-1.png" class="r-plt" alt="" width="700"></p>
+<p>Because the result is an ordinary ggplot object you can add layers or
+themes in the usual way:</p>
+<div class="sourceCode" id="cb22"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="fu"><a href="../reference/plot.html">plot</a></span><span class="op">(</span><span class="va">fl</span><span class="op">)</span> <span class="op">+</span></span>
+<span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/geom_abline.html" class="external-link">geom_hline</a></span><span class="op">(</span>yintercept <span class="op">=</span> <span class="fl">0.6</span>, linetype <span class="op">=</span> <span class="st">"dashed"</span>, colour <span class="op">=</span> <span class="st">"grey50"</span><span class="op">)</span> <span class="op">+</span></span>
+<span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/labs.html" class="external-link">labs</a></span><span class="op">(</span>title <span class="op">=</span> <span class="st">"Feeding level at steady state"</span><span class="op">)</span></span></code></pre></div>
+<p><img src="plotting_files/figure-html/unnamed-chunk-19-1.png" class="r-plt" alt="" width="700"></p>
+<p>If you need a data frame instead — for example to pass to
+<code><a href="https://rdrr.io/pkg/plotly/man/plot_ly.html" class="external-link">plot_ly()</a></code> or to combine with other data — use
+<code><a href="https://rdrr.io/r/base/as.data.frame.html" class="external-link">as.data.frame()</a></code>:</p>
+<div class="sourceCode" id="cb23"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">fl_df</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/as.data.frame.html" class="external-link">as.data.frame</a></span><span class="op">(</span><span class="va">fl</span><span class="op">)</span></span>
+<span><span class="fu"><a href="https://rdrr.io/r/utils/str.html" class="external-link">str</a></span><span class="op">(</span><span class="va">fl_df</span><span class="op">)</span></span></code></pre></div>
+<pre><code><span><span class="co">## 'data.frame':    1200 obs. of  3 variables:</span></span>
+<span><span class="co">##  $ w      : num  0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 ...</span></span>
+<span><span class="co">##  $ value  : num  0.6 0.6 0.6 0.598 0.6 ...</span></span>
+<span><span class="co">##  $ Species: chr  "Sprat" "Sandeel" "N.pout" "Herring" ...</span></span></code></pre>
+<p>This gives a long-format data frame with columns <code>w</code>,
+<code>value</code>, and <code>Species</code>, which can be handed
+directly to <code><a href="https://ggplot2.tidyverse.org/reference/ggplot.html" class="external-link">ggplot()</a></code> or <code><a href="https://rdrr.io/pkg/plotly/man/plot_ly.html" class="external-link">plot_ly()</a></code>:</p>
+<div class="sourceCode" id="cb25"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/ggplot.html" class="external-link">ggplot</a></span><span class="op">(</span><span class="va">fl_df</span><span class="op">)</span> <span class="op">+</span></span>
+<span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/geom_path.html" class="external-link">geom_line</a></span><span class="op">(</span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/aes.html" class="external-link">aes</a></span><span class="op">(</span>x <span class="op">=</span> <span class="va">w</span>, y <span class="op">=</span> <span class="va">value</span>, colour <span class="op">=</span> <span class="va">Species</span><span class="op">)</span><span class="op">)</span> <span class="op">+</span></span>
+<span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/scale_manual.html" class="external-link">scale_colour_manual</a></span><span class="op">(</span>values <span class="op">=</span> <span class="fu"><a href="../reference/setColours.html">getColours</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span><span class="op">)</span> <span class="op">+</span></span>
+<span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/scale_continuous.html" class="external-link">scale_x_log10</a></span><span class="op">(</span><span class="op">)</span> <span class="op">+</span></span>
+<span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/labs.html" class="external-link">labs</a></span><span class="op">(</span>y <span class="op">=</span> <span class="st">"Feeding level"</span><span class="op">)</span></span></code></pre></div>
+<p><img src="plotting_files/figure-html/unnamed-chunk-21-1.png" class="r-plt" alt="" width="700"></p>
 </div>
 <div class="section level2">
 <h2 id="plotting-spectra">Plotting spectra<a class="anchor" aria-label="anchor" href="#plotting-spectra"></a>
@@ -291,11 +513,11 @@ <h2 id="plotting-spectra">Plotting spectra<a class="anchor" aria-label="anchor"
 <p>We can access the abundance spectra of the species via
 <code>N(sim)</code>. This is a three-dimensional array (time x species x
 size). Let us first look at the abundance at the final time.</p>
-<div class="sourceCode" id="cb20"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb26"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="va">final_n</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/N.html">N</a></span><span class="op">(</span><span class="va">sim</span><span class="op">)</span><span class="op">[</span><span class="fu"><a href="../reference/finalN.html">idxFinalT</a></span><span class="op">(</span><span class="va">sim</span><span class="op">)</span>, , , drop <span class="op">=</span> <span class="cn">FALSE</span><span class="op">]</span></span></code></pre></div>
 <p>The <code>drop = FALSE</code> means that the result will again be a 3
 dimensional array.</p>
-<div class="sourceCode" id="cb21"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb27"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/utils/str.html" class="external-link">str</a></span><span class="op">(</span><span class="va">final_n</span><span class="op">)</span></span></code></pre></div>
 <pre><code><span><span class="co">##  num [1, 1:12, 1:100] 1.92e+06 4.81e+12 1.15e+14 3.86e+12 1.12e+11 ...</span></span>
 <span><span class="co">##  - attr(*, "dimnames")=List of 3</span></span>
@@ -304,12 +526,12 @@ <h2 id="plotting-spectra">Plotting spectra<a class="anchor" aria-label="anchor"
 <span><span class="co">##   ..$ w   : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span></span></code></pre>
 <p>We use the <code><a href="https://rdrr.io/pkg/reshape2/man/melt.html" class="external-link">melt()</a></code> function to convert this array into a
 data frame.</p>
-<div class="sourceCode" id="cb23"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb29"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="va">nf</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/reshape2/man/melt.html" class="external-link">melt</a></span><span class="op">(</span><span class="va">final_n</span><span class="op">)</span></span></code></pre></div>
 <p>This has created a data frame with 4 variables and one observation
 for each of the 1200 entries in the <code>1</code> x 12 x
 <code>rdim(final_n)[3]</code> matrix <code>final_n</code>.</p>
-<div class="sourceCode" id="cb24"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb30"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/utils/str.html" class="external-link">str</a></span><span class="op">(</span><span class="va">nf</span><span class="op">)</span></span></code></pre></div>
 <pre><code><span><span class="co">## 'data.frame':    1200 obs. of  4 variables:</span></span>
 <span><span class="co">##  $ time : int  10 10 10 10 10 10 10 10 10 10 ...</span></span>
@@ -323,28 +545,28 @@ <h2 id="plotting-spectra">Plotting spectra<a class="anchor" aria-label="anchor"
 of the array, so the abundance density in our case.</p>
 <p>There are a lot of entries with value 0, which we are not really
 interested in, so it makes sense to remove them:</p>
-<div class="sourceCode" id="cb26"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb32"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="va">nf</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/filter.html" class="external-link">filter</a></span><span class="op">(</span><span class="va">nf</span>, <span class="va">value</span> <span class="op">&gt;</span> <span class="fl">0</span><span class="op">)</span></span></code></pre></div>
 <p>This leaves a data frame with only 945 observations.</p>
 <p>We can send this data frame to ggplot and add a line for the spectrum
 for each species, with a different colour for each, and specify that we
 want both the x axis and the y axis to be on a logarithmic scale.</p>
-<div class="sourceCode" id="cb27"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb33"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="va">pg</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/ggplot.html" class="external-link">ggplot</a></span><span class="op">(</span><span class="va">nf</span><span class="op">)</span> <span class="op">+</span></span>
 <span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/geom_path.html" class="external-link">geom_line</a></span><span class="op">(</span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/aes.html" class="external-link">aes</a></span><span class="op">(</span>x <span class="op">=</span> <span class="va">w</span>, y <span class="op">=</span> <span class="va">value</span>, color <span class="op">=</span> <span class="va">sp</span><span class="op">)</span><span class="op">)</span> <span class="op">+</span></span>
 <span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/scale_continuous.html" class="external-link">scale_x_log10</a></span><span class="op">(</span><span class="op">)</span> <span class="op">+</span></span>
 <span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/scale_continuous.html" class="external-link">scale_y_log10</a></span><span class="op">(</span><span class="op">)</span></span>
 <span><span class="va">pg</span></span></code></pre></div>
-<p><img src="plotting_files/figure-html/unnamed-chunk-22-1.png" class="r-plt" width="700"></p>
+<p><img src="plotting_files/figure-html/unnamed-chunk-27-1.png" class="r-plt" alt="" width="700"></p>
 <p>The corresponding syntax for plotly is</p>
-<div class="sourceCode" id="cb28"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb34"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="va">p</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/plotly/man/plot_ly.html" class="external-link">plot_ly</a></span><span class="op">(</span><span class="va">nf</span><span class="op">)</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span></span>
 <span>    <span class="fu"><a href="https://rdrr.io/pkg/plotly/man/add_trace.html" class="external-link">add_lines</a></span><span class="op">(</span>x <span class="op">=</span> <span class="op">~</span><span class="va">w</span>, y <span class="op">=</span> <span class="op">~</span><span class="va">value</span>, color <span class="op">=</span> <span class="op">~</span><span class="va">sp</span><span class="op">)</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span> </span>
 <span>    <span class="fu">layout</span><span class="op">(</span>xaxis <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span>type <span class="op">=</span> <span class="st">"log"</span>, exponentformat <span class="op">=</span> <span class="st">"power"</span><span class="op">)</span>,</span>
 <span>           yaxis <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span>type <span class="op">=</span> <span class="st">"log"</span>, exponentformat <span class="op">=</span> <span class="st">"power"</span><span class="op">)</span><span class="op">)</span></span>
 <span><span class="va">p</span></span></code></pre></div>
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the above we used the pipe operator <code>%&gt;%</code> which
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the above we used the pipe operator <code>%&gt;%</code> which
 feeds the return value of one function into the first argument of the
 next function.</p>
 </div>
@@ -355,27 +577,27 @@ <h2 id="including-resource-spectrum">Including resource spectrum<a class="anchor
 frames. For example, we can include another line for the resource
 spectrum. We first convert also the resource abundance at the final time
 into a data frame and filter out the zero values</p>
-<div class="sourceCode" id="cb29"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb35"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="va">nf_pp</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/reshape2/man/melt.html" class="external-link">melt</a></span><span class="op">(</span><span class="fu"><a href="../reference/N.html">NResource</a></span><span class="op">(</span><span class="va">sim</span><span class="op">)</span><span class="op">[</span><span class="fu"><a href="../reference/finalN.html">idxFinalT</a></span><span class="op">(</span><span class="va">sim</span><span class="op">)</span>, , drop <span class="op">=</span> <span class="cn">FALSE</span><span class="op">]</span><span class="op">)</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span> </span>
 <span>    <span class="fu"><a href="https://dplyr.tidyverse.org/reference/filter.html" class="external-link">filter</a></span><span class="op">(</span><span class="va">value</span> <span class="op">&gt;</span> <span class="fl">0</span><span class="op">)</span></span></code></pre></div>
 <p>This data frame only contains three variables, because it does not
 have the <code>sp</code> column specifying the species. We add this
 column with the value “Resource”</p>
-<div class="sourceCode" id="cb30"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb36"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="va">nf_pp</span><span class="op">$</span><span class="va">sp</span> <span class="op">&lt;-</span> <span class="st">"Resource"</span></span></code></pre></div>
 <p>Now this new data frame has the same columns as the data frame
 <code>nf</code> and the two can be bound together</p>
-<div class="sourceCode" id="cb31"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb37"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="va">nf</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/cbind.html" class="external-link">rbind</a></span><span class="op">(</span><span class="va">nf</span>, <span class="va">nf_pp</span><span class="op">)</span></span></code></pre></div>
 <p>Using this extended data frame gives the following plot:</p>
-<div class="sourceCode" id="cb32"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb38"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="va">p</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/ggplot.html" class="external-link">ggplot</a></span><span class="op">(</span><span class="va">nf</span><span class="op">)</span> <span class="op">+</span></span>
 <span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/geom_path.html" class="external-link">geom_line</a></span><span class="op">(</span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/aes.html" class="external-link">aes</a></span><span class="op">(</span>x <span class="op">=</span> <span class="va">w</span>, y <span class="op">=</span> <span class="va">value</span>, color <span class="op">=</span> <span class="va">sp</span><span class="op">)</span><span class="op">)</span> <span class="op">+</span> </span>
 <span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/scale_manual.html" class="external-link">scale_colour_manual</a></span><span class="op">(</span>values <span class="op">=</span> <span class="fu"><a href="../reference/setColours.html">getColours</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span><span class="op">)</span> <span class="op">+</span></span>
 <span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/scale_continuous.html" class="external-link">scale_x_log10</a></span><span class="op">(</span><span class="op">)</span> <span class="op">+</span></span>
 <span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/scale_continuous.html" class="external-link">scale_y_log10</a></span><span class="op">(</span><span class="op">)</span></span>
 <span><span class="va">p</span></span></code></pre></div>
-<p><img src="plotting_files/figure-html/unnamed-chunk-27-1.png" class="r-plt" width="700"></p>
+<p><img src="plotting_files/figure-html/unnamed-chunk-32-1.png" class="r-plt" alt="" width="700"></p>
 <p>Of course we could use the same data frame also with plotly.</p>
 </div>
 <div class="section level2">
@@ -385,7 +607,7 @@ <h2 id="limiting-the-axes">Limiting the axes<a class="anchor" aria-label="anchor
 are three ways to achieve this. The first is to use
 <code><a href="https://dplyr.tidyverse.org/reference/filter.html" class="external-link">filter()</a></code> to filter out all the rows in the data frame that
 have small w and then plot the resulting data frame as usual:</p>
-<div class="sourceCode" id="cb33"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb39"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="va">nf</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span></span>
 <span>    <span class="fu"><a href="https://dplyr.tidyverse.org/reference/filter.html" class="external-link">filter</a></span><span class="op">(</span><span class="va">w</span> <span class="op">&gt;</span> <span class="fl">10</span><span class="op">^</span><span class="op">-</span><span class="fl">4</span><span class="op">)</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span> </span>
 <span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/ggplot.html" class="external-link">ggplot</a></span><span class="op">(</span><span class="op">)</span> <span class="op">+</span></span>
@@ -393,19 +615,19 @@ <h2 id="limiting-the-axes">Limiting the axes<a class="anchor" aria-label="anchor
 <span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/scale_manual.html" class="external-link">scale_colour_manual</a></span><span class="op">(</span>values <span class="op">=</span> <span class="fu"><a href="../reference/setColours.html">getColours</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span><span class="op">)</span> <span class="op">+</span></span>
 <span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/scale_continuous.html" class="external-link">scale_x_log10</a></span><span class="op">(</span><span class="op">)</span> <span class="op">+</span></span>
 <span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/scale_continuous.html" class="external-link">scale_y_log10</a></span><span class="op">(</span><span class="op">)</span></span></code></pre></div>
-<p><img src="plotting_files/figure-html/unnamed-chunk-28-1.png" class="r-plt" width="700"></p>
+<p><img src="plotting_files/figure-html/unnamed-chunk-33-1.png" class="r-plt" alt="" width="700"></p>
 <p>The second method is to specify limits for the axes. In ggplot this
 is done by adding <code>limits</code> to the axis scales:</p>
-<div class="sourceCode" id="cb34"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb40"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/ggplot.html" class="external-link">ggplot</a></span><span class="op">(</span><span class="va">nf</span><span class="op">)</span> <span class="op">+</span></span>
 <span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/geom_path.html" class="external-link">geom_line</a></span><span class="op">(</span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/aes.html" class="external-link">aes</a></span><span class="op">(</span>x <span class="op">=</span> <span class="va">w</span>, y <span class="op">=</span> <span class="va">value</span>, color <span class="op">=</span> <span class="va">sp</span><span class="op">)</span><span class="op">)</span> <span class="op">+</span> </span>
 <span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/scale_manual.html" class="external-link">scale_colour_manual</a></span><span class="op">(</span>values <span class="op">=</span> <span class="fu"><a href="../reference/setColours.html">getColours</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span><span class="op">)</span> <span class="op">+</span></span>
 <span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/scale_continuous.html" class="external-link">scale_x_log10</a></span><span class="op">(</span>limits <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">10</span><span class="op">^</span><span class="op">-</span><span class="fl">4</span>, <span class="cn">NA</span><span class="op">)</span><span class="op">)</span> <span class="op">+</span></span>
 <span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/scale_continuous.html" class="external-link">scale_y_log10</a></span><span class="op">(</span>limits <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="cn">NA</span>, <span class="fl">10</span><span class="op">^</span><span class="fl">20</span><span class="op">)</span><span class="op">)</span></span></code></pre></div>
-<p><img src="plotting_files/figure-html/unnamed-chunk-29-1.png" class="r-plt" width="700"></p>
+<p><img src="plotting_files/figure-html/unnamed-chunk-34-1.png" class="r-plt" alt="" width="700"></p>
 <p>The <code>NA</code> means that the existing limits are kept.</p>
 <p>In plotly we specify the <code>range</code> as follows:</p>
-<div class="sourceCode" id="cb35"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb41"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/pkg/plotly/man/plot_ly.html" class="external-link">plot_ly</a></span><span class="op">(</span><span class="va">nf</span><span class="op">)</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span></span>
 <span>    <span class="fu"><a href="https://rdrr.io/pkg/plotly/man/add_trace.html" class="external-link">add_lines</a></span><span class="op">(</span>x <span class="op">=</span> <span class="op">~</span><span class="va">w</span>, y <span class="op">=</span> <span class="op">~</span><span class="va">value</span>, color <span class="op">=</span> <span class="op">~</span><span class="va">sp</span>,</span>
 <span>              colours <span class="op">=</span> <span class="fu"><a href="../reference/setColours.html">getColours</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span><span class="op">)</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span> </span>
@@ -414,7 +636,7 @@ <h2 id="limiting-the-axes">Limiting the axes<a class="anchor" aria-label="anchor
 <span>           yaxis <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span>type <span class="op">=</span> <span class="st">"log"</span>, exponentformat <span class="op">=</span> <span class="st">"power"</span>,</span>
 <span>                        range <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="op">-</span><span class="fl">14</span>, <span class="fl">20</span><span class="op">)</span><span class="op">)</span><span class="op">)</span></span></code></pre></div>
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how in plotly the range is specified by giving the logarithm to
 base 10 of the limits.</p>
 </div>
 <div class="section level2">
@@ -425,7 +647,7 @@ <h2 id="animating-spectra">Animating spectra<a class="anchor" aria-label="anchor
 <code>N(sim)</code> array and use the time variable to specify the
 frames with the <code>frame = ~time</code> argument to
 <code><a href="https://rdrr.io/pkg/plotly/man/add_trace.html" class="external-link">add_lines()</a></code>:</p>
-<div class="sourceCode" id="cb36"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb42"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/pkg/reshape2/man/melt.html" class="external-link">melt</a></span><span class="op">(</span><span class="fu"><a href="../reference/N.html">N</a></span><span class="op">(</span><span class="va">sim</span><span class="op">)</span><span class="op">)</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span> </span>
 <span>    <span class="fu"><a href="https://dplyr.tidyverse.org/reference/filter.html" class="external-link">filter</a></span><span class="op">(</span><span class="va">value</span> <span class="op">&gt;</span> <span class="fl">0</span><span class="op">)</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span> </span>
 <span>    <span class="fu"><a href="https://rdrr.io/pkg/plotly/man/plot_ly.html" class="external-link">plot_ly</a></span><span class="op">(</span><span class="op">)</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span> </span>
@@ -436,7 +658,7 @@ <h2 id="animating-spectra">Animating spectra<a class="anchor" aria-label="anchor
 <span>    <span class="fu">layout</span><span class="op">(</span>xaxis <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span>type <span class="op">=</span> <span class="st">"log"</span>, exponentformat <span class="op">=</span> <span class="st">"power"</span><span class="op">)</span>,</span>
 <span>           yaxis <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span>type <span class="op">=</span> <span class="st">"log"</span>, exponentformat <span class="op">=</span> <span class="st">"power"</span><span class="op">)</span><span class="op">)</span></span></code></pre></div>
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how this produces a smooth animation in spite of the fact that
 we saved the abundances only once a year. That interpolation is
 facilitated by the <code>line = list(simplify = FALSE)</code>
 argument.</p>
@@ -451,64 +673,64 @@ <h2 id="comparing-simulations">Comparing simulations<a class="anchor" aria-label
 different simulations, for example with different fishing policies. To
 illustrate this we create two simulations with different fishing
 effort:</p>
-<div class="sourceCode" id="cb37"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb43"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="va">sim1</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/project.html">project</a></span><span class="op">(</span><span class="va">params</span>, t_max <span class="op">=</span> <span class="fl">10</span>, t_save <span class="op">=</span> <span class="fl">0.2</span>, effort <span class="op">=</span> <span class="fl">2</span><span class="op">)</span></span>
 <span><span class="va">sim2</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/project.html">project</a></span><span class="op">(</span><span class="va">params</span>, t_max <span class="op">=</span> <span class="fl">10</span>, t_save <span class="op">=</span> <span class="fl">0.2</span>, effort <span class="op">=</span> <span class="fl">4</span><span class="op">)</span></span></code></pre></div>
 <p>Let us look at a plot of the fishing yield against time. This is
 calculated by the <code><a href="../reference/getYield.html">getYield()</a></code> function, which returns an
 array (time x species) that we can convert to a data frame</p>
-<div class="sourceCode" id="cb38"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb44"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="va">yield1</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/reshape2/man/melt.html" class="external-link">melt</a></span><span class="op">(</span><span class="fu"><a href="../reference/getYield.html">getYield</a></span><span class="op">(</span><span class="va">sim1</span><span class="op">)</span><span class="op">)</span></span>
 <span><span class="va">yield2</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/reshape2/man/melt.html" class="external-link">melt</a></span><span class="op">(</span><span class="fu"><a href="../reference/getYield.html">getYield</a></span><span class="op">(</span><span class="va">sim2</span><span class="op">)</span><span class="op">)</span></span></code></pre></div>
 <p>Let’s look at the plot of the yield from the first simulation:</p>
-<div class="sourceCode" id="cb39"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb45"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/ggplot.html" class="external-link">ggplot</a></span><span class="op">(</span><span class="va">yield1</span><span class="op">)</span> <span class="op">+</span></span>
 <span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/geom_path.html" class="external-link">geom_line</a></span><span class="op">(</span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/aes.html" class="external-link">aes</a></span><span class="op">(</span>x <span class="op">=</span> <span class="va">time</span>, y <span class="op">=</span> <span class="va">value</span>, colour <span class="op">=</span> <span class="va">sp</span><span class="op">)</span><span class="op">)</span></span></code></pre></div>
-<p><img src="plotting_files/figure-html/unnamed-chunk-34-1.png" class="r-plt" width="700"></p>
+<p><img src="plotting_files/figure-html/unnamed-chunk-39-1.png" class="r-plt" alt="" width="700"></p>
 <p>To make the plot less cluttered, we keep only the 4 most important
 species</p>
-<div class="sourceCode" id="cb40"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb46"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="va">yield1</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/filter.html" class="external-link">filter</a></span><span class="op">(</span><span class="va">yield1</span>, <span class="va">sp</span> <span class="op"><a href="https://rdrr.io/r/base/match.html" class="external-link">%in%</a></span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"Saithe"</span>, <span class="st">"Cod"</span>, <span class="st">"Haddock"</span>, <span class="st">"N.pout"</span><span class="op">)</span><span class="op">)</span></span>
 <span><span class="va">yield2</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/filter.html" class="external-link">filter</a></span><span class="op">(</span><span class="va">yield2</span>, <span class="va">sp</span> <span class="op"><a href="https://rdrr.io/r/base/match.html" class="external-link">%in%</a></span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"Saithe"</span>, <span class="st">"Cod"</span>, <span class="st">"Haddock"</span>, <span class="st">"N.pout"</span><span class="op">)</span><span class="op">)</span></span></code></pre></div>
 <p>and plot again</p>
-<div class="sourceCode" id="cb41"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb47"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="va">p1</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/ggplot.html" class="external-link">ggplot</a></span><span class="op">(</span><span class="va">yield1</span><span class="op">)</span> <span class="op">+</span></span>
 <span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/geom_path.html" class="external-link">geom_line</a></span><span class="op">(</span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/aes.html" class="external-link">aes</a></span><span class="op">(</span>x <span class="op">=</span> <span class="va">time</span>, y <span class="op">=</span> <span class="va">value</span>, colour <span class="op">=</span> <span class="va">sp</span><span class="op">)</span><span class="op">)</span></span>
 <span><span class="va">p1</span></span></code></pre></div>
-<p><img src="plotting_files/figure-html/unnamed-chunk-36-1.png" class="r-plt" width="700"></p>
+<p><img src="plotting_files/figure-html/unnamed-chunk-41-1.png" class="r-plt" alt="" width="700"></p>
 <p>For simulation 2 the plot looks like this:</p>
-<div class="sourceCode" id="cb42"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb48"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="va">p2</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/ggplot.html" class="external-link">ggplot</a></span><span class="op">(</span><span class="va">yield2</span><span class="op">)</span> <span class="op">+</span></span>
 <span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/geom_path.html" class="external-link">geom_line</a></span><span class="op">(</span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/aes.html" class="external-link">aes</a></span><span class="op">(</span>x <span class="op">=</span> <span class="va">time</span>, y <span class="op">=</span> <span class="va">value</span>, colour <span class="op">=</span> <span class="va">sp</span><span class="op">)</span><span class="op">)</span></span>
 <span><span class="va">p2</span></span></code></pre></div>
-<p><img src="plotting_files/figure-html/unnamed-chunk-37-1.png" class="r-plt" width="700"></p>
+<p><img src="plotting_files/figure-html/unnamed-chunk-42-1.png" class="r-plt" alt="" width="700"></p>
 <p>Comparison will be easier if we combine these two plots. For that we
 add an extra variable to the data frames that allow us to distinguish
 them and then we merge them together.</p>
-<div class="sourceCode" id="cb43"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb49"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="va">yield1</span><span class="op">$</span><span class="va">effort</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/factor.html" class="external-link">as.factor</a></span><span class="op">(</span><span class="fl">2</span><span class="op">)</span></span>
 <span><span class="va">yield2</span><span class="op">$</span><span class="va">effort</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/factor.html" class="external-link">as.factor</a></span><span class="op">(</span><span class="fl">4</span><span class="op">)</span></span>
 <span><span class="va">yield</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/cbind.html" class="external-link">rbind</a></span><span class="op">(</span><span class="va">yield1</span>, <span class="va">yield2</span><span class="op">)</span></span></code></pre></div>
 <p>In ggplot we can now use <code><a href="https://ggplot2.tidyverse.org/reference/facet_grid.html" class="external-link">facet_grid()</a></code> to put the plot
 for each value of <code>effort</code> side-by-side:</p>
-<div class="sourceCode" id="cb44"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb50"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/ggplot.html" class="external-link">ggplot</a></span><span class="op">(</span><span class="va">yield</span><span class="op">)</span> <span class="op">+</span></span>
 <span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/geom_path.html" class="external-link">geom_line</a></span><span class="op">(</span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/aes.html" class="external-link">aes</a></span><span class="op">(</span>x <span class="op">=</span> <span class="va">time</span>, y <span class="op">=</span> <span class="va">value</span>, </span>
 <span>                  colour <span class="op">=</span> <span class="va">sp</span><span class="op">)</span><span class="op">)</span> <span class="op">+</span></span>
 <span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/facet_grid.html" class="external-link">facet_grid</a></span><span class="op">(</span>cols <span class="op">=</span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/vars.html" class="external-link">vars</a></span><span class="op">(</span><span class="va">effort</span><span class="op">)</span><span class="op">)</span></span></code></pre></div>
-<p><img src="plotting_files/figure-html/unnamed-chunk-39-1.png" class="r-plt" width="700"></p>
+<p><img src="plotting_files/figure-html/unnamed-chunk-44-1.png" class="r-plt" alt="" width="700"></p>
 <p>Or we can use the <code>linetype</code> aesthetic to represent the
 different <code>effort</code> values by different line types:</p>
-<div class="sourceCode" id="cb45"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb51"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/ggplot.html" class="external-link">ggplot</a></span><span class="op">(</span><span class="va">yield</span><span class="op">)</span> <span class="op">+</span></span>
 <span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/geom_path.html" class="external-link">geom_line</a></span><span class="op">(</span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/aes.html" class="external-link">aes</a></span><span class="op">(</span>x <span class="op">=</span> <span class="va">time</span>, y <span class="op">=</span> <span class="va">value</span>, </span>
 <span>                  colour <span class="op">=</span> <span class="va">sp</span>,</span>
 <span>                  linetype <span class="op">=</span> <span class="va">effort</span><span class="op">)</span><span class="op">)</span></span></code></pre></div>
-<p><img src="plotting_files/figure-html/unnamed-chunk-40-1.png" class="r-plt" width="700"></p>
+<p><img src="plotting_files/figure-html/unnamed-chunk-45-1.png" class="r-plt" alt="" width="700"></p>
 <p>An alternative is to use the visual diff functionality from the
 diffviewer package. For that purpose we need to create the two plots
 with the same limits on the axes.</p>
-<div class="sourceCode" id="cb46"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb52"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="va">p1</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/ggplot.html" class="external-link">ggplot</a></span><span class="op">(</span><span class="va">yield1</span><span class="op">)</span> <span class="op">+</span></span>
 <span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/geom_path.html" class="external-link">geom_line</a></span><span class="op">(</span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/aes.html" class="external-link">aes</a></span><span class="op">(</span>x <span class="op">=</span> <span class="va">time</span>, y <span class="op">=</span> <span class="va">value</span>, colour <span class="op">=</span> <span class="va">sp</span><span class="op">)</span><span class="op">)</span> <span class="op">+</span></span>
 <span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/lims.html" class="external-link">ylim</a></span><span class="op">(</span><span class="fl">0</span>,<span class="fl">1.75e12</span><span class="op">)</span></span>
@@ -517,7 +739,7 @@ <h2 id="comparing-simulations">Comparing simulations<a class="anchor" aria-label
 <span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/lims.html" class="external-link">ylim</a></span><span class="op">(</span><span class="fl">0</span>,<span class="fl">1.75e12</span><span class="op">)</span></span></code></pre></div>
 <p>We can then create a visual comparison by saving the plots to
 temporary files and using <code><a href="https://diffviewer.r-lib.org/reference/visual_diff.html" class="external-link">diffviewer::visual_diff()</a></code>:</p>
-<div class="sourceCode" id="cb47"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb53"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="co"># Save plots to temporary files</span></span>
 <span><span class="va">tmp1</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/tempfile.html" class="external-link">tempfile</a></span><span class="op">(</span>fileext <span class="op">=</span> <span class="st">".png"</span><span class="op">)</span></span>
 <span><span class="va">tmp2</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/tempfile.html" class="external-link">tempfile</a></span><span class="op">(</span>fileext <span class="op">=</span> <span class="st">".png"</span><span class="op">)</span></span>
@@ -529,20 +751,20 @@ <h2 id="comparing-simulations">Comparing simulations<a class="anchor" aria-label
 <p>plotly is less good at faceting, but it can put arbitrary plots
 side-by-side (or arrange them into a grid) with
 <code><a href="https://rdrr.io/pkg/plotly/man/subplot.html" class="external-link">subplot()</a></code></p>
-<div class="sourceCode" id="cb48"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb54"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/pkg/plotly/man/subplot.html" class="external-link">subplot</a></span><span class="op">(</span><span class="va">p1</span>, <span class="va">p2</span>, shareX <span class="op">=</span> <span class="cn">TRUE</span>, shareY <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></code></pre></div>
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how the <code>shareY = TRUE</code> argument to
 <code>suplot()</code> makes sure the two plots use the same scale on the
 y axis, and similarly for <code>shareX = TRUE</code>.</p>
 <p>Also in plotly we can now tie the <code>effort</code> variable to the
 line type.</p>
-<div class="sourceCode" id="cb49"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb55"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/pkg/plotly/man/plot_ly.html" class="external-link">plot_ly</a></span><span class="op">(</span><span class="va">yield</span><span class="op">)</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span> </span>
 <span>    <span class="fu"><a href="https://rdrr.io/pkg/plotly/man/add_trace.html" class="external-link">add_lines</a></span><span class="op">(</span>x <span class="op">=</span> <span class="op">~</span><span class="va">time</span>, y <span class="op">=</span> <span class="op">~</span><span class="va">value</span>, </span>
 <span>              color <span class="op">=</span> <span class="op">~</span><span class="va">sp</span>, linetype <span class="op">=</span> <span class="op">~</span><span class="va">effort</span><span class="op">)</span></span></code></pre></div>
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i=e.geoCentroid({type:"MultiPoint",coordinates:[t,r,n]}),a=[-i[0],-i[1]],o=e.geoRotation(a),s=at(ot(o(t)),ot(o(r)),ot(o(n)));s.invert=H(s);var l=e.geoProjection(s).rotate(a),c=l.center;return delete l.rotate,l.center=function(t){return arguments.length?c(o(t)):o.invert(c())},l.clipAngle(90)}function lt(t,e){var r=L(1-m(e));return[2/T*t*r,T*(1-r)]}function ct(t){var e=g(t);function r(t,r){return[t,(t?t/m(t):1)*(m(r)*o(t)-e*o(r))]}return r.invert=e?function(t,r){t&&(r*=m(t)/t);var n=o(t);return[t,2*a(L(n*n+e*e-r*r)-n,e-r)]}:function(t,e){return[t,S(t?e*g(t)/t:e)]},r}lt.invert=function(t,e){var r=(r=e/T-1)*r;return[r>0?t*L(y/r)/2:0,S(1-r)]};var ut=L(3);function ft(t,e){return[ut*t*(2*o(2*e/3)-1)/T,ut*T*m(e/3)]}function ht(t){var e=o(t);function r(t,r){return[t*e,m(r)/e]}return r.invert=function(t,r){return[t/e,S(r*e)]},r}function pt(t){var e=o(t);function r(t,r){return[t*e,(1+e)*g(r/2)]}return r.invert=function(t,r){return[t/e,2*i(r/(1+e))]},r}function dt(t,e){var r=L(8/(3*y));return[r*t*(1-n(e)/y),r*e]}function mt(t,e){var r=L(4-3*m(n(e)));return[2/L(6*y)*t*r,d(e)*L(2*y/3)*(2-r)]}function gt(t,e){var r=L(y*(4+y));return[2/r*t*(1+L(1-4*e*e/(y*y))),4/r*e]}function vt(t,e){var r=(2+x)*m(e);e/=2;for(var i=0,a=1/0;i<10&&n(a)>v;i++){var s=o(e);e-=a=(e+m(e)*(s+2)-r)/(2*s*(1+s))}return[2/L(y*(4+y))*t*(1+o(e)),2*L(y/(4+y))*m(e)]}function yt(t,e){return[t*(1+o(e))/L(2+y),2*e/L(2+y)]}function xt(t,e){for(var r=(1+x)*m(e),i=0,a=1/0;i<10&&n(a)>v;i++)e-=a=(e+m(e)-r)/(1+o(e));return r=L(2+y),[t*(1+o(e))/r,2*e/r]}ft.invert=function(t,e){var r=3*S(e/(ut*T));return[T*t/(ut*(2*o(2*r/3)-1)),r]},dt.invert=function(t,e){var r=L(8/(3*y)),i=e/r;return[t/(r*(1-n(i)/y)),i]},mt.invert=function(t,e){var r=2-n(e)/L(2*y/3);return[t*L(6*y)/(2*r),d(e)*S((4-r*r)/3)]},gt.invert=function(t,e){var r=L(y*(4+y))/2;return[t*r/(1+L(1-e*e*(4+y)/(4*y))),e*r/2]},vt.invert=function(t,e){var r=e*L((4+y)/y)/2,n=S(r),i=o(n);return[t/(2/L(y*(4+y))*(1+i)),S((n+r*(i+2))/(2+x))]},yt.invert=function(t,e){var r=L(2+y),n=e*r/2;return[r*t/(1+o(n)),n]},xt.invert=function(t,e){var r=1+x,n=L(r/2);return[2*t*n/(1+o(e*=n)),S((e+m(e))/r)]};var bt=3+2*w;function _t(t,e){var r=m(t/=2),n=o(t),a=L(o(e)),s=o(e/=2),l=m(e)/(s+w*n*a),u=L(2/(1+l*l)),f=L((w*s+(n+r)*a)/(w*s+(n-r)*a));return[bt*(u*(f-1/f)-2*c(f)),bt*(u*l*(f+1/f)-2*i(l))]}_t.invert=function(t,e){if(!(r=D.invert(t/1.2,1.065*e)))return null;var r,a=r[0],s=r[1],l=20;t/=bt,e/=bt;do{var h=a/2,p=s/2,d=m(h),g=o(h),y=m(p),b=o(p),T=o(s),k=L(T),A=y/(b+w*g*k),M=A*A,S=L(2/(1+M)),E=(w*b+(g+d)*k)/(w*b+(g-d)*k),C=L(E),P=C-1/C,I=C+1/C,O=S*P-2*c(C)-t,z=S*A*I-2*i(A)-e,R=y&&_*k*d*M/y,F=(w*g*b+k)/(2*(b+w*g*k)*(b+w*g*k)*k),B=-.5*A*S*S*S,N=B*R,j=B*F,U=(U=2*b+w*k*(g-d))*U*C,V=(w*g*b*k+T)/U,H=-w*d*y/(k*U),q=P*N-2*V/C+S*(V+V/E),G=P*j-2*H/C+S*(H+H/E),Y=A*I*N-2*R/(1+M)+S*I*R+S*A*(V-V/E),W=A*I*j-2*F/(1+M)+S*I*F+S*A*(H-H/E),X=G*Y-W*q;if(!X)break;var 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b=g*g,_=t+b*(e+b*(r+b*i)),w=g*(a-1+b*(s-c+b*l)),T=_*_+w*w,k=2*w,A=T/k,M=A*A,E=S(_/A)/y,C=d*E,P=_*_,I=(2*e+b*(4*r+6*b*i))*g,O=a+b*(3*s+5*b*l),z=(2*(_*I+w*(O-1))*k-T*(2*(O-1)))/(k*k),D=o(C),R=m(C),F=A*D,B=A*R,N=d/y*(1/L(1-P/M))*(I*A-_*z)/M,j=B-u,U=g*(1+b*c)+A-F-f,V=z*R+F*N,H=F*E,q=1+z-(z*D-B*N),G=B*E,Y=V*G-q*H;if(!Y)break;d-=h=(U*V-j*q)/Y,g-=p=(j*G-U*H)/Y}while((n(h)>v||n(p)>v)&&--x>0);return[d,g]},u}Tt.invert=function(t,e){var r=e/(1+wt);return[t&&t/(wt*L(1-r*r)),2*i(r)]},kt.invert=function(t,e){var r=i(e/T),n=o(r),a=2*r;return[t*T/2/(o(a)*n*n),a]};var It=Pt(2.8284,-1.6988,.75432,-.18071,1.76003,-.38914,.042555);var Ot=Pt(2.583819,-.835827,.170354,-.038094,1.543313,-.411435,.082742);var zt=Pt(5/6*y,-.62636,-.0344,0,1.3493,-.05524,0,.045);function Dt(t,e){var r=t*t,n=e*e;return[t*(1-.162388*n)*(.87-952426e-9*r*r),e*(1+n/12)]}Dt.invert=function(t,e){var r,i=t,a=e,o=50;do{var s=a*a;a-=r=(a*(1+s/12)-e)/(1+s/4)}while(n(r)>v&&--o>0);o=50,t/=1-.162388*s;do{var 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t[0]=1-(p+m),t[1]=f+y,t[2]=h-v,t[3]=0,t[4]=f-y,t[5]=1-(u+m),t[6]=d+g,t[7]=0,t[8]=h+v,t[9]=d-g,t[10]=1-(u+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},{}],198:[function(t,e,r){e.exports=function(t,e){return t[0]=e[0],t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=e[1],t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=e[2],t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],199:[function(t,e,r){e.exports=function(t,e){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=e[0],t[13]=e[1],t[14]=e[2],t[15]=1,t}},{}],200:[function(t,e,r){e.exports=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=n,t[6]=r,t[7]=0,t[8]=0,t[9]=-r,t[10]=n,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],201:[function(t,e,r){e.exports=function(t,e){var r=Math.sin(e),n=Math.cos(e);return 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n(t);f=m-_,h=g-w,p=v-T,d=1/Math.sqrt(f*f+h*h+p*p),a=x*(p*=d)-b*(h*=d),o=b*(f*=d)-y*p,s=y*h-x*f,(d=Math.sqrt(a*a+o*o+s*s))?(a*=d=1/d,o*=d,s*=d):(a=0,o=0,s=0);l=h*s-p*o,c=p*a-f*s,u=f*o-h*a,(d=Math.sqrt(l*l+c*c+u*u))?(l*=d=1/d,c*=d,u*=d):(l=0,c=0,u=0);return t[0]=a,t[1]=l,t[2]=f,t[3]=0,t[4]=o,t[5]=c,t[6]=h,t[7]=0,t[8]=s,t[9]=u,t[10]=p,t[11]=0,t[12]=-(a*m+o*g+s*v),t[13]=-(l*m+c*g+u*v),t[14]=-(f*m+h*g+p*v),t[15]=1,t}},{"./identity":204}],208:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],m=e[12],g=e[13],v=e[14],y=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*f+w*m,t[1]=x*i+b*l+_*h+w*g,t[2]=x*a+b*c+_*p+w*v,t[3]=x*o+b*u+_*d+w*y,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*f+w*m,t[5]=x*i+b*l+_*h+w*g,t[6]=x*a+b*c+_*p+w*v,t[7]=x*o+b*u+_*d+w*y,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*f+w*m,t[9]=x*i+b*l+_*h+w*g,t[10]=x*a+b*c+_*p+w*v,t[11]=x*o+b*u+_*d+w*y,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*f+w*m,t[13]=x*i+b*l+_*h+w*g,t[14]=x*a+b*c+_*p+w*v,t[15]=x*o+b*u+_*d+w*y,t}},{}],209:[function(t,e,r){e.exports=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t}},{}],210:[function(t,e,r){e.exports=function(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}},{}],211:[function(t,e,r){e.exports=function(t,e,r,n){var i=Math.tan(e.upDegrees*Math.PI/180),a=Math.tan(e.downDegrees*Math.PI/180),o=Math.tan(e.leftDegrees*Math.PI/180),s=Math.tan(e.rightDegrees*Math.PI/180),l=2/(o+s),c=2/(i+a);return t[0]=l,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=c,t[6]=0,t[7]=0,t[8]=-(o-s)*l*.5,t[9]=(i-a)*c*.5,t[10]=n/(r-n),t[11]=-1,t[12]=0,t[13]=0,t[14]=n*r/(r-n),t[15]=0,t}},{}],212:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,A,M,S,E=n[0],L=n[1],C=n[2],P=Math.sqrt(E*E+L*L+C*C);if(Math.abs(P)<1e-6)return null;E*=P=1/P,L*=P,C*=P,i=Math.sin(r),a=Math.cos(r),o=1-a,s=e[0],l=e[1],c=e[2],u=e[3],f=e[4],h=e[5],p=e[6],d=e[7],m=e[8],g=e[9],v=e[10],y=e[11],x=E*E*o+a,b=L*E*o+C*i,_=C*E*o-L*i,w=E*L*o-C*i,T=L*L*o+a,k=C*L*o+E*i,A=E*C*o+L*i,M=L*C*o-E*i,S=C*C*o+a,t[0]=s*x+f*b+m*_,t[1]=l*x+h*b+g*_,t[2]=c*x+p*b+v*_,t[3]=u*x+d*b+y*_,t[4]=s*w+f*T+m*k,t[5]=l*w+h*T+g*k,t[6]=c*w+p*T+v*k,t[7]=u*w+d*T+y*k,t[8]=s*A+f*M+m*S,t[9]=l*A+h*M+g*S,t[10]=c*A+p*M+v*S,t[11]=u*A+d*M+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t}},{}],213:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[4]=a*i+c*n,t[5]=o*i+u*n,t[6]=s*i+f*n,t[7]=l*i+h*n,t[8]=c*i-a*n,t[9]=u*i-o*n,t[10]=f*i-s*n,t[11]=h*i-l*n,t}},{}],214:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i-c*n,t[1]=o*i-u*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+c*i,t[9]=o*n+u*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}},{}],215:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[4],u=e[5],f=e[6],h=e[7];e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i+c*n,t[1]=o*i+u*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=c*i-a*n,t[5]=u*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}},{}],216:[function(t,e,r){e.exports=function(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},{}],217:[function(t,e,r){e.exports=function(t){return"mat4("+t[0]+", "+t[1]+", "+t[2]+", "+t[3]+", "+t[4]+", "+t[5]+", "+t[6]+", "+t[7]+", "+t[8]+", "+t[9]+", "+t[10]+", "+t[11]+", "+t[12]+", "+t[13]+", "+t[14]+", "+t[15]+")"}},{}],218:[function(t,e,r){e.exports=function(t,e,r){var n,i,a,o,s,l,c,u,f,h,p,d,m=r[0],g=r[1],v=r[2];e===t?(t[12]=e[0]*m+e[4]*g+e[8]*v+e[12],t[13]=e[1]*m+e[5]*g+e[9]*v+e[13],t[14]=e[2]*m+e[6]*g+e[10]*v+e[14],t[15]=e[3]*m+e[7]*g+e[11]*v+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=c,t[7]=u,t[8]=f,t[9]=h,t[10]=p,t[11]=d,t[12]=n*m+s*g+f*v+e[12],t[13]=i*m+l*g+h*v+e[13],t[14]=a*m+c*g+p*v+e[14],t[15]=o*m+u*g+d*v+e[15]);return t}},{}],219:[function(t,e,r){e.exports=function(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},{}],220:[function(t,e,r){"use strict";var n=t("css-font"),i=t("pick-by-alias"),a=t("regl"),o=t("gl-util/context"),s=t("es6-weak-map"),l=t("color-normalize"),c=t("font-atlas"),u=t("typedarray-pool"),f=t("parse-rect"),h=t("is-plain-obj"),p=t("parse-unit"),d=t("to-px"),m=t("detect-kerning"),g=t("object-assign"),v=t("font-measure"),y=t("flatten-vertex-data"),x=t("bit-twiddle").nextPow2,b=new s,_=!1;if(document.body){var w=document.body.appendChild(document.createElement("div"));w.style.font="italic small-caps bold condensed 16px/2 cursive",getComputedStyle(w).fontStretch&&(_=!0),document.body.removeChild(w)}var T=function(t){!function(t){return"function"==typeof t&&t._gl&&t.prop&&t.texture&&t.buffer}(t)?this.gl=o(t):(t={regl:t},this.gl=t.regl._gl),this.shader=b.get(this.gl),this.shader?this.regl=this.shader.regl:this.regl=t.regl||a({gl:this.gl}),this.charBuffer=this.regl.buffer({type:"uint8",usage:"stream"}),this.sizeBuffer=this.regl.buffer({type:"float",usage:"stream"}),this.shader||(this.shader=this.createShader(),b.set(this.gl,this.shader)),this.batch=[],this.fontSize=[],this.font=[],this.fontAtlas=[],this.draw=this.shader.draw.bind(this),this.render=function(){this.regl._refresh(),this.draw(this.batch)},this.canvas=this.gl.canvas,this.update(h(t)?t:{})};T.prototype.createShader=function(){var t=this.regl,e=t({blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:"src alpha",dstRGB:"one minus src alpha",srcAlpha:"one minus dst alpha",dstAlpha:"one"}},stencil:{enable:!1},depth:{enable:!1},count:t.prop("count"),offset:t.prop("offset"),attributes:{charOffset:{offset:4,stride:8,buffer:t.this("sizeBuffer")},width:{offset:0,stride:8,buffer:t.this("sizeBuffer")},char:t.this("charBuffer"),position:t.this("position")},uniforms:{atlasSize:function(t,e){return[e.atlas.width,e.atlas.height]},atlasDim:function(t,e){return[e.atlas.cols,e.atlas.rows]},atlas:function(t,e){return e.atlas.texture},charStep:function(t,e){return e.atlas.step},em:function(t,e){return e.atlas.em},color:t.prop("color"),opacity:t.prop("opacity"),viewport:t.this("viewportArray"),scale:t.this("scale"),align:t.prop("align"),baseline:t.prop("baseline"),translate:t.this("translate"),positionOffset:t.prop("positionOffset")},primitive:"points",viewport:t.this("viewport"),vert:"\n\t\t\tprecision highp float;\n\t\t\tattribute float width, charOffset, char;\n\t\t\tattribute vec2 position;\n\t\t\tuniform float fontSize, charStep, em, align, baseline;\n\t\t\tuniform vec4 viewport;\n\t\t\tuniform vec4 color;\n\t\t\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\n\t\t\tvarying vec2 charCoord, charId;\n\t\t\tvarying float charWidth;\n\t\t\tvarying vec4 fontColor;\n\t\t\tvoid main () {\n\t\t\t\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\n\t\t\t\t\t+ vec2(positionOffset.x, -positionOffset.y)))\n\t\t\t\t\t/ (viewport.zw * scale.xy);\n\n\t\t\t\tvec2 position = (position + translate) * scale;\n\t\t\t\tposition += offset * scale;\n\n\t\t\t\tcharCoord = position * viewport.zw + viewport.xy;\n\n\t\t\t\tgl_Position = vec4(position * 2. - 1., 0, 1);\n\n\t\t\t\tgl_PointSize = charStep;\n\n\t\t\t\tcharId.x = mod(char, atlasDim.x);\n\t\t\t\tcharId.y = floor(char / atlasDim.x);\n\n\t\t\t\tcharWidth = width * em;\n\n\t\t\t\tfontColor = color / 255.;\n\t\t\t}",frag:"\n\t\t\tprecision highp float;\n\t\t\tuniform float fontSize, charStep, opacity;\n\t\t\tuniform vec2 atlasSize;\n\t\t\tuniform vec4 viewport;\n\t\t\tuniform sampler2D atlas;\n\t\t\tvarying vec4 fontColor;\n\t\t\tvarying vec2 charCoord, charId;\n\t\t\tvarying float charWidth;\n\n\t\t\tfloat lightness(vec4 color) {\n\t\t\t\treturn color.r * 0.299 + color.g * 0.587 + color.b * 0.114;\n\t\t\t}\n\n\t\t\tvoid main () {\n\t\t\t\tvec2 uv = gl_FragCoord.xy - charCoord + charStep * .5;\n\t\t\t\tfloat halfCharStep = floor(charStep * .5 + .5);\n\n\t\t\t\t// invert y and shift by 1px (FF expecially needs that)\n\t\t\t\tuv.y = charStep - uv.y;\n\n\t\t\t\t// ignore points outside of character bounding box\n\t\t\t\tfloat halfCharWidth = ceil(charWidth * .5);\n\t\t\t\tif (floor(uv.x) > halfCharStep + halfCharWidth ||\n\t\t\t\t\tfloor(uv.x) < halfCharStep - halfCharWidth) return;\n\n\t\t\t\tuv += charId * charStep;\n\t\t\t\tuv = uv / atlasSize;\n\n\t\t\t\tvec4 color = fontColor;\n\t\t\t\tvec4 mask = texture2D(atlas, uv);\n\n\t\t\t\tfloat maskY = lightness(mask);\n\t\t\t\t// float colorY = lightness(color);\n\t\t\t\tcolor.a *= maskY;\n\t\t\t\tcolor.a *= opacity;\n\n\t\t\t\t// color.a += .1;\n\n\t\t\t\t// antialiasing, see yiq color space y-channel formula\n\t\t\t\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\n\n\t\t\t\tgl_FragColor = color;\n\t\t\t}"});return{regl:t,draw:e,atlas:{}}},T.prototype.update=function(t){var e=this;if("string"==typeof t)t={text:t};else if(!t)return;null!=(t=i(t,{position:"position positions coord coords coordinates",font:"font fontFace fontface typeface cssFont css-font family fontFamily",fontSize:"fontSize fontsize size font-size",text:"text texts chars characters value values symbols",align:"align alignment textAlign textbaseline",baseline:"baseline textBaseline textbaseline",direction:"dir direction textDirection",color:"color colour fill fill-color fillColor textColor textcolor",kerning:"kerning kern",range:"range dataBox",viewport:"vp viewport viewBox viewbox viewPort",opacity:"opacity alpha transparency visible visibility opaque",offset:"offset positionOffset padding shift indent indentation"},!0)).opacity&&(Array.isArray(t.opacity)?this.opacity=t.opacity.map((function(t){return parseFloat(t)})):this.opacity=parseFloat(t.opacity)),null!=t.viewport&&(this.viewport=f(t.viewport),this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null==this.viewport&&(this.viewport={x:0,y:0,width:this.gl.drawingBufferWidth,height:this.gl.drawingBufferHeight},this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null!=t.kerning&&(this.kerning=t.kerning),null!=t.offset&&("number"==typeof t.offset&&(t.offset=[t.offset,0]),this.positionOffset=y(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),this.font.length||t.font||(t.font=T.baseFontSize+"px sans-serif");var r,a=!1,o=!1;if(t.font&&(Array.isArray(t.font)?t.font:[t.font]).forEach((function(t,r){if("string"==typeof t)try{t=n.parse(t)}catch(e){t=n.parse(T.baseFontSize+"px "+t)}else t=n.parse(n.stringify(t));var i=n.stringify({size:T.baseFontSize,family:t.family,stretch:_?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),s=p(t.size),l=Math.round(s[0]*d(s[1]));if(l!==e.fontSize[r]&&(o=!0,e.fontSize[r]=l),!(e.font[r]&&i==e.font[r].baseString||(a=!0,e.font[r]=T.fonts[i],e.font[r]))){var c=t.family.join(", "),u=[t.style];t.style!=t.variant&&u.push(t.variant),t.variant!=t.weight&&u.push(t.weight),_&&t.weight!=t.stretch&&u.push(t.stretch),e.font[r]={baseString:i,family:c,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:v(c,{origin:"top",fontSize:T.baseFontSize,fontStyle:u.join(" ")})},T.fonts[i]=e.font[r]}})),(a||o)&&this.font.forEach((function(r,i){var a=n.stringify({size:e.fontSize[i],family:r.family,stretch:_?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[i]=e.shader.atlas[a],!e.fontAtlas[i]){var o=r.metrics;e.shader.atlas[a]=e.fontAtlas[i]={fontString:a,step:2*Math.ceil(e.fontSize[i]*o.bottom*.5),em:e.fontSize[i],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:e.regl.texture()}}null==t.text&&(t.text=e.text)})),"string"==typeof t.text&&t.position&&t.position.length>2){for(var s=Array(.5*t.position.length),h=0;h<s.length;h++)s[h]=t.text;t.text=s}if(null!=t.text||a){if(this.textOffsets=[0],Array.isArray(t.text)){this.count=t.text[0].length,this.counts=[this.count];for(var b=1;b<t.text.length;b++)this.textOffsets[b]=this.textOffsets[b-1]+t.text[b-1].length,this.count+=t.text[b].length,this.counts.push(t.text[b].length);this.text=t.text.join("")}else this.text=t.text,this.count=this.text.length,this.counts=[this.count];r=[],this.font.forEach((function(t,n){T.atlasContext.font=t.baseString;for(var i=e.fontAtlas[n],a=0;a<e.text.length;a++){var o=e.text.charAt(a);if(null==i.ids[o]&&(i.ids[o]=i.chars.length,i.chars.push(o),r.push(o)),null==t.width[o]&&(t.width[o]=T.atlasContext.measureText(o).width/T.baseFontSize,e.kerning)){var s=[];for(var l in t.width)s.push(l+o,o+l);g(t.kerning,m(t.family,{pairs:s}))}}}))}if(t.position)if(t.position.length>2){for(var w=!t.position[0].length,k=u.mallocFloat(2*this.count),A=0,M=0;A<this.counts.length;A++){var S=this.counts[A];if(w)for(var E=0;E<S;E++)k[M++]=t.position[2*A],k[M++]=t.position[2*A+1];else for(var L=0;L<S;L++)k[M++]=t.position[A][0],k[M++]=t.position[A][1]}this.position.call?this.position({type:"float",data:k}):this.position=this.regl.buffer({type:"float",data:k}),u.freeFloat(k)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||a){var C=u.mallocUint8(this.count),P=u.mallocFloat(2*this.count);this.textWidth=[];for(var I=0,O=0;I<this.counts.length;I++){for(var z=this.counts[I],D=this.font[I]||this.font[0],R=this.fontAtlas[I]||this.fontAtlas[0],F=0;F<z;F++){var B=this.text.charAt(O),N=this.text.charAt(O-1);if(C[O]=R.ids[B],P[2*O]=D.width[B],F){var j=P[2*O-2],U=P[2*O],V=P[2*O-1]+.5*j+.5*U;if(this.kerning){var H=D.kerning[N+B];H&&(V+=.001*H)}P[2*O+1]=V}else P[2*O+1]=.5*P[2*O];O++}this.textWidth.push(P.length?.5*P[2*O-2]+P[2*O-1]:0)}t.align||(t.align=this.align),this.charBuffer({data:C,type:"uint8",usage:"stream"}),this.sizeBuffer({data:P,type:"float",usage:"stream"}),u.freeUint8(C),u.freeFloat(P),r.length&&this.font.forEach((function(t,r){var n=e.fontAtlas[r],i=n.step,a=Math.floor(T.maxAtlasSize/i),o=Math.min(a,n.chars.length),s=Math.ceil(n.chars.length/o),l=x(o*i),u=x(s*i);n.width=l,n.height=u,n.rows=s,n.cols=o,n.em&&n.texture({data:c({canvas:T.atlasCanvas,font:n.fontString,chars:n.chars,shape:[l,u],step:[i,i]})})}))}if(t.align&&(this.align=t.align,this.alignOffset=this.textWidth.map((function(t,r){var n=Array.isArray(e.align)?e.align.length>1?e.align[r]:e.align[0]:e.align;if("number"==typeof n)return n;switch(n){case"right":case"end":return-t;case"center":case"centre":case"middle":return.5*-t}return 0}))),null==this.baseline&&null==t.baseline&&(t.baseline=0),null!=t.baseline&&(this.baseline=t.baseline,Array.isArray(this.baseline)||(this.baseline=[this.baseline]),this.baselineOffset=this.baseline.map((function(t,r){var n=(e.font[r]||e.font[0]).metrics,i=0;return i+=.5*n.bottom,i+="number"==typeof t?t-n.baseline:-n[t],i*=-1}))),null!=t.color)if(t.color||(t.color="transparent"),"string"!=typeof t.color&&isNaN(t.color)){var q;if("number"==typeof t.color[0]&&t.color.length>this.counts.length){var G=t.color.length;q=u.mallocUint8(G);for(var Y=(t.color.subarray||t.color.slice).bind(t.color),W=0;W<G;W+=4)q.set(l(Y(W,W+4),"uint8"),W)}else{var X=t.color.length;q=u.mallocUint8(4*X);for(var Z=0;Z<X;Z++)q.set(l(t.color[Z]||0,"uint8"),4*Z)}this.color=q}else this.color=l(t.color,"uint8");if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity)if(this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2){var J=Math.max(.5*this.position.length||0,.25*this.color.length||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,.5*this.positionOffset.length||0);this.batch=Array(J);for(var K=0;K<this.batch.length;K++)this.batch[K]={count:this.counts.length>1?this.counts[K]:this.counts[0],offset:this.textOffsets.length>1?this.textOffsets[K]:this.textOffsets[0],color:this.color?this.color.length<=4?this.color:this.color.subarray(4*K,4*K+4):[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[K]:this.opacity,baseline:null!=this.baselineOffset[K]?this.baselineOffset[K]:this.baselineOffset[0],align:this.align?null!=this.alignOffset[K]?this.alignOffset[K]:this.alignOffset[0]:0,atlas:this.fontAtlas[K]||this.fontAtlas[0],positionOffset:this.positionOffset.length>2?this.positionOffset.subarray(2*K,2*K+2):this.positionOffset}}else this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[]},T.prototype.destroy=function(){},T.prototype.kerning=!0,T.prototype.position={constant:new Float32Array(2)},T.prototype.translate=null,T.prototype.scale=null,T.prototype.font=null,T.prototype.text="",T.prototype.positionOffset=[0,0],T.prototype.opacity=1,T.prototype.color=new Uint8Array([0,0,0,255]),T.prototype.alignOffset=[0,0],T.maxAtlasSize=1024,T.atlasCanvas=document.createElement("canvas"),T.atlasContext=T.atlasCanvas.getContext("2d",{alpha:!1}),T.baseFontSize=64,T.fonts={},e.exports=T},{"bit-twiddle":77,"color-normalize":84,"css-font":94,"detect-kerning":119,"es6-weak-map":177,"flatten-vertex-data":186,"font-atlas":187,"font-measure":188,"gl-util/context":221,"is-plain-obj":231,"object-assign":242,"parse-rect":244,"parse-unit":246,"pick-by-alias":248,regl:278,"to-px":309,"typedarray-pool":322}],221:[function(t,e,r){(function(r){(function(){"use strict";var n=t("pick-by-alias");function i(t){if(t.container)if(t.container==document.body)document.body.style.width||(t.canvas.width=t.width||t.pixelRatio*r.innerWidth),document.body.style.height||(t.canvas.height=t.height||t.pixelRatio*r.innerHeight);else{var e=t.container.getBoundingClientRect();t.canvas.width=t.width||e.right-e.left,t.canvas.height=t.height||e.bottom-e.top}}function 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0===s?jr(e.default,r.default):n(e,r,s,i,a)}}}(this._parameters,this._specification))};function Qr(t){var e=t.key,r=t.value,n=t.valueSpec||{},i=t.objectElementValidators||{},a=t.style,o=t.styleSpec,s=[],l=Fr(r);if("object"!==l)return[new Ct(e,r,"object expected, "+l+" found")];for(var c in r){var u=c.split(".")[0],f=n[u]||n["*"],h=void 0;if(i[u])h=i[u];else if(n[u])h=kn;else if(i["*"])h=i["*"];else{if(!n["*"]){s.push(new Ct(e,r[c],'unknown property "'+c+'"'));continue}h=kn}s=s.concat(h({key:(e?e+".":e)+c,value:r[c],valueSpec:f,style:a,styleSpec:o,object:r,objectKey:c},r))}for(var p in n)i[p]||n[p].required&&void 0===n[p].default&&void 0===r[p]&&s.push(new Ct(e,r,'missing required property "'+p+'"'));return s}function $r(t){var e=t.value,r=t.valueSpec,n=t.style,i=t.styleSpec,a=t.key,o=t.arrayElementValidator||kn;if("array"!==Fr(e))return[new Ct(a,e,"array expected, "+Fr(e)+" found")];if(r.length&&e.length!==r.length)return[new Ct(a,e,"array length "+r.length+" expected, length 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0===t.value.property,l=!s,c="array"===Fr(t.value.stops)&&"array"===Fr(t.value.stops[0])&&"object"===Fr(t.value.stops[0][0]),u=Qr({key:t.key,value:t.value,valueSpec:t.styleSpec.function,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{stops:function(t){if("identity"===a)return[new Ct(t.key,t.value,'identity function may not have a "stops" property')];var e=[],r=t.value;e=e.concat($r({key:t.key,value:r,valueSpec:t.valueSpec,style:t.style,styleSpec:t.styleSpec,arrayElementValidator:f})),"array"===Fr(r)&&0===r.length&&e.push(new Ct(t.key,r,"array must have at least one stop"));return e},default:function(t){return kn({key:t.key,value:t.value,valueSpec:i,style:t.style,styleSpec:t.styleSpec})}}});return"identity"===a&&s&&u.push(new Ct(t.key,t.value,'missing required property "property"')),"identity"===a||t.value.stops||u.push(new Ct(t.key,t.value,'missing required property "stops"')),"exponential"===a&&t.valueSpec.expression&&!Rr(t.valueSpec)&&u.push(new Ct(t.key,t.value,"exponential functions not supported")),t.styleSpec.$version>=8&&(l&&!zr(t.valueSpec)?u.push(new Ct(t.key,t.value,"property functions not supported")):s&&!Dr(t.valueSpec)&&u.push(new Ct(t.key,t.value,"zoom functions not supported"))),"categorical"!==a&&!c||void 0!==t.value.property||u.push(new Ct(t.key,t.value,'"property" property is required')),u;function f(t){var e=[],a=t.value,s=t.key;if("array"!==Fr(a))return[new Ct(s,a,"array expected, "+Fr(a)+" found")];if(2!==a.length)return[new Ct(s,a,"array length 2 expected, length "+a.length+" found")];if(c){if("object"!==Fr(a[0]))return[new Ct(s,a,"object expected, "+Fr(a[0])+" found")];if(void 0===a[0].zoom)return[new Ct(s,a,"object stop key must have zoom")];if(void 0===a[0].value)return[new Ct(s,a,"object stop key must have value")];if(n&&n>Ot(a[0].zoom))return[new Ct(s,a[0].zoom,"stop zoom values must appear in ascending order")];Ot(a[0].zoom)!==n&&(n=Ot(a[0].zoom),r=void 0,o={}),e=e.concat(Qr({key:s+"[0]",value:a[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:tn,value:h}}))}else e=e.concat(h({key:s+"[0]",value:a[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},a));return Yr(zt(a[1]))?e.concat([new Ct(s+"[1]",a[1],"expressions are not allowed in function stops.")]):e.concat(kn({key:s+"[1]",value:a[1],valueSpec:i,style:t.style,styleSpec:t.styleSpec}))}function h(t,n){var s=Fr(t.value),l=Ot(t.value),c=null!==t.value?t.value:n;if(e){if(s!==e)return[new Ct(t.key,c,s+" stop domain type must match previous stop domain type "+e)]}else e=s;if("number"!==s&&"string"!==s&&"boolean"!==s)return[new Ct(t.key,c,"stop domain value must be a number, string, or boolean")];if("number"!==s&&"categorical"!==a){var u="number expected, "+s+" found";return zr(i)&&void 0===a&&(u+='\nIf you intended to use a categorical function, specify `"type": "categorical"`.'),[new Ct(t.key,c,u)]}return"categorical"!==a||"number"!==s||isFinite(l)&&Math.floor(l)===l?"categorical"!==a&&"number"===s&&void 0!==r&&l<r?[new Ct(t.key,c,"stop domain values must appear in ascending order")]:(r=l,"categorical"===a&&l in o?[new Ct(t.key,c,"stop domain values must be unique")]:(o[l]=!0,[])):[new Ct(t.key,c,"integer expected, found "+l)]}}function rn(t){var e=("property"===t.expressionContext?Jr:Wr)(zt(t.value),t.valueSpec);if("error"===e.result)return e.value.map((function(e){return new Ct(""+t.key+e.key,t.value,e.message)}));var r=e.value.expression||e.value._styleExpression.expression;if("property"===t.expressionContext&&"text-font"===t.propertyKey&&!r.outputDefined())return[new Ct(t.key,t.value,'Invalid data expression for "'+t.propertyKey+'". Output values must be contained as literals within the expression.')];if("property"===t.expressionContext&&"layout"===t.propertyType&&!Be(r))return[new Ct(t.key,t.value,'"feature-state" data expressions are not supported with layout properties.')];if("filter"===t.expressionContext&&!Be(r))return[new Ct(t.key,t.value,'"feature-state" data expressions are not supported with filters.')];if(t.expressionContext&&0===t.expressionContext.indexOf("cluster")){if(!Ne(r,["zoom","feature-state"]))return[new Ct(t.key,t.value,'"zoom" and "feature-state" expressions are not supported with cluster properties.')];if("cluster-initial"===t.expressionContext&&!Fe(r))return[new Ct(t.key,t.value,"Feature data expressions are not supported with initial expression part of cluster properties.")]}return[]}function nn(t){var e=t.key,r=t.value,n=t.valueSpec,i=[];return Array.isArray(n.values)?-1===n.values.indexOf(Ot(r))&&i.push(new Ct(e,r,"expected one of ["+n.values.join(", ")+"], "+JSON.stringify(r)+" found")):-1===Object.keys(n.values).indexOf(Ot(r))&&i.push(new Ct(e,r,"expected one of ["+Object.keys(n.values).join(", ")+"], "+JSON.stringify(r)+" found")),i}function an(t){if(!0===t||!1===t)return!0;if(!Array.isArray(t)||0===t.length)return!1;switch(t[0]){case"has":return t.length>=2&&"$id"!==t[1]&&"$type"!==t[1];case"in":return t.length>=3&&("string"!=typeof t[1]||Array.isArray(t[2]));case"!in":case"!has":case"none":return!1;case"==":case"!=":case">":case">=":case"<":case"<=":return 3!==t.length||Array.isArray(t[1])||Array.isArray(t[2]);case"any":case"all":for(var e=0,r=t.slice(1);e<r.length;e+=1){var n=r[e];if(!an(n)&&"boolean"!=typeof n)return!1}return!0;default:return!0}}Kr.deserialize=function(t){return new Kr(t._parameters,t._specification)},Kr.serialize=function(t){return{_parameters:t._parameters,_specification:t._specification}};var on={type:"boolean",default:!1,transition:!1,"property-type":"data-driven",expression:{interpolated:!1,parameters:["zoom","feature"]}};function sn(t){if(null==t)return{filter:function(){return!0},needGeometry:!1};an(t)||(t=cn(t));var e=Wr(t,on);if("error"===e.result)throw new Error(e.value.map((function(t){return t.key+": "+t.message})).join(", "));return{filter:function(t,r,n){return e.value.evaluate(t,r,{},n)},needGeometry:function t(e){if(!Array.isArray(e))return!1;if("within"===e[0])return!0;for(var r=1;r<e.length;r++)if(t(e[r]))return!0;return!1}(t)}}function ln(t,e){return t<e?-1:t>e?1:0}function cn(t){if(!t)return!0;var e,r=t[0];return t.length<=1?"any"!==r:"=="===r?un(t[1],t[2],"=="):"!="===r?pn(un(t[1],t[2],"==")):"<"===r||">"===r||"<="===r||">="===r?un(t[1],t[2],r):"any"===r?(e=t.slice(1),["any"].concat(e.map(cn))):"all"===r?["all"].concat(t.slice(1).map(cn)):"none"===r?["all"].concat(t.slice(1).map(cn).map(pn)):"in"===r?fn(t[1],t.slice(2)):"!in"===r?pn(fn(t[1],t.slice(2))):"has"===r?hn(t[1]):"!has"===r?pn(hn(t[1])):"within"!==r||t}function un(t,e,r){switch(t){case"$type":return["filter-type-"+r,e];case"$id":return["filter-id-"+r,e];default:return["filter-"+r,t,e]}}function fn(t,e){if(0===e.length)return!1;switch(t){case"$type":return["filter-type-in",["literal",e]];case"$id":return["filter-id-in",["literal",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?["filter-in-large",t,["literal",e.sort(ln)]]:["filter-in-small",t,["literal",e]]}}function hn(t){switch(t){case"$type":return!0;case"$id":return["filter-has-id"];default:return["filter-has",t]}}function pn(t){return["!",t]}function dn(t){return an(zt(t.value))?rn(It({},t,{expressionContext:"filter",valueSpec:{value:"boolean"}})):function t(e){var r=e.value,n=e.key;if("array"!==Fr(r))return[new Ct(n,r,"array expected, "+Fr(r)+" found")];var i,a=e.styleSpec,o=[];if(r.length<1)return[new Ct(n,r,"filter array must have at least 1 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Ct(n,r,'filter array for "'+r[0]+'" operator must have 2 elements')):"string"!==i&&o.push(new Ct(n+"[1]",r[1],"string expected, "+i+" found"));break;case"within":i=Fr(r[1]),2!==r.length?o.push(new Ct(n,r,'filter array for "'+r[0]+'" operator must have 2 elements')):"object"!==i&&o.push(new Ct(n+"[1]",r[1],"object expected, "+i+" found"))}return o}(t)}function mn(t,e){var r=t.key,n=t.style,i=t.styleSpec,a=t.value,o=t.objectKey,s=i[e+"_"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if("paint"===e&&l&&s[l[1]]&&s[l[1]].transition)return kn({key:r,value:a,valueSpec:i.transition,style:n,styleSpec:i});var c,u=t.valueSpec||s[o];if(!u)return[new Ct(r,a,'unknown property "'+o+'"')];if("string"===Fr(a)&&zr(u)&&!u.tokens&&(c=/^{([^}]+)}$/.exec(a)))return[new Ct(r,a,'"'+o+'" does not support interpolation syntax\nUse an identity property function instead: `{ "type": "identity", "property": '+JSON.stringify(c[1])+" }`.")];var f=[];return"symbol"===t.layerType&&("text-field"===o&&n&&!n.glyphs&&f.push(new Ct(r,a,'use of "text-field" requires a style "glyphs" property')),"text-font"===o&&Br(zt(a))&&"identity"===Ot(a.type)&&f.push(new Ct(r,a,'"text-font" does not support identity functions'))),f.concat(kn({key:t.key,value:a,valueSpec:u,style:n,styleSpec:i,expressionContext:"property",propertyType:e,propertyKey:o}))}function gn(t){return mn(t,"paint")}function vn(t){return mn(t,"layout")}function yn(t){var e=[],r=t.value,n=t.key,i=t.style,a=t.styleSpec;r.type||r.ref||e.push(new Ct(n,r,'either "type" or "ref" is required'));var o,s=Ot(r.type),l=Ot(r.ref);if(r.id)for(var c=Ot(r.id),u=0;u<t.arrayIndex;u++){var f=i.layers[u];Ot(f.id)===c&&e.push(new Ct(n,r.id,'duplicate layer id "'+r.id+'", previously used at line '+f.id.__line__))}if("ref"in r)["type","source","source-layer","filter","layout"].forEach((function(t){t in r&&e.push(new Ct(n,r[t],'"'+t+'" is prohibited for ref 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e.push(new Ct(n,r,'missing required property "source"'));return e=e.concat(Qr({key:n,value:r,valueSpec:a.layer,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{"*":function(){return[]},type:function(){return kn({key:n+".type",value:r.type,valueSpec:a.layer.type,style:t.style,styleSpec:t.styleSpec,object:r,objectKey:"type"})},filter:dn,layout:function(t){return Qr({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{"*":function(t){return vn(It({layerType:s},t))}}})},paint:function(t){return Qr({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{"*":function(t){return gn(It({layerType:s},t))}}})}}}))}function xn(t){var e=t.value,r=t.key,n=Fr(e);return"string"!==n?[new Ct(r,e,"string expected, "+n+" found")]:[]}var bn={promoteId:function(t){var e=t.key,r=t.value;if("string"===Fr(r))return xn({key:e,value:r});var n=[];for(var i in r)n.push.apply(n,xn({key:e+"."+i,value:r[i]}));return n}};function _n(t){var e=t.value,r=t.key,n=t.styleSpec,i=t.style;if(!e.type)return[new Ct(r,e,'"type" is required')];var a,o=Ot(e.type);switch(o){case"vector":case"raster":case"raster-dem":return a=Qr({key:r,value:e,valueSpec:n["source_"+o.replace("-","_")],style:t.style,styleSpec:n,objectElementValidators:bn});case"geojson":if(a=Qr({key:r,value:e,valueSpec:n.source_geojson,style:i,styleSpec:n,objectElementValidators:bn}),e.cluster)for(var s in e.clusterProperties){var l=e.clusterProperties[s],c=l[0],u=l[1],f="string"==typeof c?[c,["accumulated"],["get",s]]:c;a.push.apply(a,rn({key:r+"."+s+".map",value:u,expressionContext:"cluster-map"})),a.push.apply(a,rn({key:r+"."+s+".reduce",value:f,expressionContext:"cluster-reduce"}))}return a;case"video":return Qr({key:r,value:e,valueSpec:n.source_video,style:i,styleSpec:n});case"image":return Qr({key:r,value:e,valueSpec:n.source_image,style:i,styleSpec:n});case"canvas":return[new Ct(r,null,"Please use runtime APIs to add canvas sources, rather 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vi=function(t,e,r,n,i){this.property=t,this.value=e,this.begin=i+n.delay||0,this.end=this.begin+n.duration||0,t.specification.transition&&(n.delay||n.duration)&&(this.prior=r)};vi.prototype.possiblyEvaluate=function(t,e,r){var n=t.now||0,i=this.value.possiblyEvaluate(t,e,r),a=this.prior;if(a){if(n>this.end)return this.prior=null,i;if(this.value.isDataDriven())return this.prior=null,i;if(n<this.begin)return a.possiblyEvaluate(t,e,r);var o=(n-this.begin)/(this.end-this.begin);return this.property.interpolate(a.possiblyEvaluate(t,e,r),i,function(t){if(t<=0)return 0;if(t>=1)return 1;var e=t*t,r=e*t;return 4*(t<.5?r:3*(t-e)+r-.75)}(o))}return i};var yi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};yi.prototype.possiblyEvaluate=function(t,e,r){for(var n=new _i(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n},yi.prototype.hasTransition=function(){for(var t=0,e=Object.keys(this._values);t<e.length;t+=1){var r=e[t];if(this._values[r].prior)return!0}return!1};var xi=function(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)};xi.prototype.getValue=function(t){return x(this._values[t].value)},xi.prototype.setValue=function(t,e){this._values[t]=new di(this._values[t].property,null===e?void 0:x(e))},xi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i)}return t},xi.prototype.possiblyEvaluate=function(t,e,r){for(var n=new _i(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n};var bi=function(t,e,r){this.property=t,this.value=e,this.parameters=r};bi.prototype.isConstant=function(){return"constant"===this.value.kind},bi.prototype.constantOr=function(t){return"constant"===this.value.kind?this.value.value:t},bi.prototype.evaluate=function(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)};var _i=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};_i.prototype.get=function(t){return this._values[t]};var wi=function(t){this.specification=t};wi.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},wi.prototype.interpolate=function(t,e,r){var n=Ge[this.specification.type];return n?n(t,e,r):t};var Ti=function(t,e){this.specification=t,this.overrides=e};Ti.prototype.possiblyEvaluate=function(t,e,r,n){return"constant"===t.expression.kind||"camera"===t.expression.kind?new bi(this,{kind:"constant",value:t.expression.evaluate(e,null,{},r,n)},e):new bi(this,t.expression,e)},Ti.prototype.interpolate=function(t,e,r){if("constant"!==t.value.kind||"constant"!==e.value.kind)return t;if(void 0===t.value.value||void 0===e.value.value)return new bi(this,{kind:"constant",value:void 0},t.parameters);var n=Ge[this.specification.type];return n?new bi(this,{kind:"constant",value:n(t.value.value,e.value.value,r)},t.parameters):t},Ti.prototype.evaluate=function(t,e,r,n,i,a){return"constant"===t.kind?t.value:t.evaluate(e,r,n,i,a)};var ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0===t.value)return new bi(this,{kind:"constant",value:void 0},e);if("constant"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n),a="resolvedImage"===t.property.specification.type&&"string"!=typeof i?i.name:i,o=this._calculate(a,a,a,e);return new bi(this,{kind:"constant",value:o},e)}if("camera"===t.expression.kind){var s=this._calculate(t.expression.evaluate({zoom:e.zoom-1}),t.expression.evaluate({zoom:e.zoom}),t.expression.evaluate({zoom:e.zoom+1}),e);return new bi(this,{kind:"constant",value:s},e)}return new bi(this,t.expression,e)},e.prototype.evaluate=function(t,e,r,n,i,a){if("source"===t.kind){var o=t.evaluate(e,r,n,i,a);return this._calculate(o,o,o,e)}return"composite"===t.kind?this._calculate(t.evaluate({zoom:Math.floor(e.zoom)-1},r,n),t.evaluate({zoom:Math.floor(e.zoom)},r,n),t.evaluate({zoom:Math.floor(e.zoom)+1},r,n),e):t.value},e.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},e.prototype.interpolate=function(t){return t},e}(Ti),Ai=function(t){this.specification=t};Ai.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0!==t.value){if("constant"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n);return this._calculate(i,i,i,e)}return this._calculate(t.expression.evaluate(new pi(Math.floor(e.zoom-1),e)),t.expression.evaluate(new pi(Math.floor(e.zoom),e)),t.expression.evaluate(new pi(Math.floor(e.zoom+1),e)),e)}},Ai.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},Ai.prototype.interpolate=function(t){return t};var Mi=function(t){this.specification=t};Mi.prototype.possiblyEvaluate=function(t,e,r,n){return!!t.expression.evaluate(e,null,{},r,n)},Mi.prototype.interpolate=function(){return!1};var Si=function(t){for(var e in this.properties=t,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[],t){var r=t[e];r.specification.overridable&&this.overridableProperties.push(e);var n=this.defaultPropertyValues[e]=new di(r,void 0),i=this.defaultTransitionablePropertyValues[e]=new mi(r);this.defaultTransitioningPropertyValues[e]=i.untransitioned(),this.defaultPossiblyEvaluatedValues[e]=n.possiblyEvaluate({})}};Nn("DataDrivenProperty",Ti),Nn("DataConstantProperty",wi),Nn("CrossFadedDataDrivenProperty",ki),Nn("CrossFadedProperty",Ai),Nn("ColorRampProperty",Mi);var Ei=function(t){function e(e,r){if(t.call(this),this.id=e.id,this.type=e.type,this._featureFilter={filter:function(){return!0},needGeometry:!1},"custom"!==e.type&&(e=e,this.metadata=e.metadata,this.minzoom=e.minzoom,this.maxzoom=e.maxzoom,"background"!==e.type&&(this.source=e.source,this.sourceLayer=e["source-layer"],this.filter=e.filter),r.layout&&(this._unevaluatedLayout=new xi(r.layout)),r.paint)){for(var n in this._transitionablePaint=new gi(r.paint),e.paint)this.setPaintProperty(n,e.paint[n],{validate:!1});for(var i in e.layout)this.setLayoutProperty(i,e.layout[i],{validate:!1});this._transitioningPaint=this._transitionablePaint.untransitioned(),this.paint=new _i(r.paint)}}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getCrossfadeParameters=function(){return this._crossfadeParameters},e.prototype.getLayoutProperty=function(t){return"visibility"===t?this.visibility:this._unevaluatedLayout.getValue(t)},e.prototype.setLayoutProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n="layers."+this.id+".layout."+t;if(this._validate(In,n,t,e,r))return}"visibility"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e},e.prototype.getPaintProperty=function(t){return g(t,"-transition")?this._transitionablePaint.getTransition(t.slice(0,-"-transition".length)):this._transitionablePaint.getValue(t)},e.prototype.setPaintProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n="layers."+this.id+".paint."+t;if(this._validate(Pn,n,t,e,r))return!1}if(g(t,"-transition"))return this._transitionablePaint.setTransition(t.slice(0,-"-transition".length),e||void 0),!1;var i=this._transitionablePaint._values[t],a="cross-faded-data-driven"===i.property.specification["property-type"],o=i.value.isDataDriven(),s=i.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var l=this._transitionablePaint._values[t].value;return l.isDataDriven()||o||a||this._handleOverridablePaintPropertyUpdate(t,s,l)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t<this.minzoom)||(!!(this.maxzoom&&t>=this.maxzoom)||"none"===this.visibility)},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,"source-layer":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),y(t,(function(t,e){return!(void 0===t||"layout"===e&&!Object.keys(t).length||"paint"===e&&!Object.keys(t).length)}))},e.prototype._validate=function(t,e,r,n,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&On(this,t.call(Ln,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:Lt,style:{glyphs:!0,sprite:!0}}))},e.prototype.is3D=function(){return!1},e.prototype.isTileClipped=function(){return!1},e.prototype.hasOffscreenPass=function(){return!1},e.prototype.resize=function(){},e.prototype.isStateDependent=function(){for(var t in this.paint._values){var e=this.paint.get(t);if(e instanceof bi&&zr(e.property.specification)&&(("source"===e.value.kind||"composite"===e.value.kind)&&e.value.isStateDependent))return!0}return!1},e}(Et),Li={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},Ci=function(t,e){this._structArray=t,this._pos1=e*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8},Pi=function(){this.isTransferred=!1,this.capacity=-1,this.resize(0)};function Ii(t,e){void 0===e&&(e=1);var r=0,n=0;return{members:t.map((function(t){var i,a=(i=t.type,Li[i].BYTES_PER_ELEMENT),o=r=Oi(r,Math.max(e,a)),s=t.components||1;return n=Math.max(n,a),r+=a*s,{name:t.name,type:t.type,components:s,offset:o}})),size:Oi(r,Math.max(n,e)),alignment:e}}function Oi(t,e){return Math.ceil(t/e)*e}Pi.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},Pi.deserialize=function(t){var e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e},Pi.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},Pi.prototype.clear=function(){this.length=0},Pi.prototype.resize=function(t){this.reserve(t),this.length=t},Pi.prototype.reserve=function(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);var e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}},Pi.prototype._refreshViews=function(){throw new Error("_refreshViews() must be implemented by each concrete StructArray layout")};var zi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t},e}(Pi);zi.prototype.bytesPerElement=4,Nn("StructArrayLayout2i4",zi);var Di=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.int16[a+0]=e,this.int16[a+1]=r,this.int16[a+2]=n,this.int16[a+3]=i,t},e}(Pi);Di.prototype.bytesPerElement=8,Nn("StructArrayLayout4i8",Di);var Ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Pi);Ri.prototype.bytesPerElement=12,Nn("StructArrayLayout2i4i12",Ri);var Fi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=i,this.uint8[l+6]=a,this.uint8[l+7]=o,t},e}(Pi);Fi.prototype.bytesPerElement=8,Nn("StructArrayLayout2i4ub8",Fi);var Bi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c){var u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l,c)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u){var f=9*t,h=18*t;return this.uint16[f+0]=e,this.uint16[f+1]=r,this.uint16[f+2]=n,this.uint16[f+3]=i,this.uint16[f+4]=a,this.uint16[f+5]=o,this.uint16[f+6]=s,this.uint16[f+7]=l,this.uint8[h+16]=c,this.uint8[h+17]=u,t},e}(Pi);Bi.prototype.bytesPerElement=18,Nn("StructArrayLayout8ui2ub18",Bi);var Ni=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f){var h=this.length;return this.resize(h+1),this.emplace(h,t,e,r,n,i,a,o,s,l,c,u,f)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h){var p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=i,this.uint16[p+4]=a,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=c,this.int16[p+9]=u,this.int16[p+10]=f,this.int16[p+11]=h,t},e}(Pi);Ni.prototype.bytesPerElement=24,Nn("StructArrayLayout4i4ui4i24",Ni);var ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t},e}(Pi);ji.prototype.bytesPerElement=12,Nn("StructArrayLayout3f12",ji);var Ui=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint32[r+0]=e,t},e}(Pi);Ui.prototype.bytesPerElement=4,Nn("StructArrayLayout1ul4",Ui);var Vi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l){var c=this.length;return this.resize(c+1),this.emplace(c,t,e,r,n,i,a,o,s,l)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c){var u=10*t,f=5*t;return this.int16[u+0]=e,this.int16[u+1]=r,this.int16[u+2]=n,this.int16[u+3]=i,this.int16[u+4]=a,this.int16[u+5]=o,this.uint32[f+3]=s,this.uint16[u+8]=l,this.uint16[u+9]=c,t},e}(Pi);Vi.prototype.bytesPerElement=20,Nn("StructArrayLayout6i1ul2ui20",Vi);var Hi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Pi);Hi.prototype.bytesPerElement=12,Nn("StructArrayLayout2i2i2i12",Hi);var qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n,i)},e.prototype.emplace=function(t,e,r,n,i,a){var o=4*t,s=8*t;return this.float32[o+0]=e,this.float32[o+1]=r,this.float32[o+2]=n,this.int16[s+6]=i,this.int16[s+7]=a,t},e}(Pi);qi.prototype.bytesPerElement=16,Nn("StructArrayLayout2f1f2i16",qi);var Gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=12*t,o=3*t;return this.uint8[a+0]=e,this.uint8[a+1]=r,this.float32[o+1]=n,this.float32[o+2]=i,t},e}(Pi);Gi.prototype.bytesPerElement=12,Nn("StructArrayLayout2ub2f12",Gi);var Yi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.uint16[i+0]=e,this.uint16[i+1]=r,this.uint16[i+2]=n,t},e}(Pi);Yi.prototype.bytesPerElement=6,Nn("StructArrayLayout3ui6",Yi);var Wi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g){var v=this.length;return this.resize(v+1),this.emplace(v,t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v){var y=24*t,x=12*t,b=48*t;return this.int16[y+0]=e,this.int16[y+1]=r,this.uint16[y+2]=n,this.uint16[y+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[y+10]=l,this.uint16[y+11]=c,this.uint16[y+12]=u,this.float32[x+7]=f,this.float32[x+8]=h,this.uint8[b+36]=p,this.uint8[b+37]=d,this.uint8[b+38]=m,this.uint32[x+10]=g,this.int16[y+22]=v,t},e}(Pi);Wi.prototype.bytesPerElement=48,Nn("StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48",Wi);var Xi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,A,M,S){var E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,A,M,S)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,A,M,S,E){var L=34*t,C=17*t;return this.int16[L+0]=e,this.int16[L+1]=r,this.int16[L+2]=n,this.int16[L+3]=i,this.int16[L+4]=a,this.int16[L+5]=o,this.int16[L+6]=s,this.int16[L+7]=l,this.uint16[L+8]=c,this.uint16[L+9]=u,this.uint16[L+10]=f,this.uint16[L+11]=h,this.uint16[L+12]=p,this.uint16[L+13]=d,this.uint16[L+14]=m,this.uint16[L+15]=g,this.uint16[L+16]=v,this.uint16[L+17]=y,this.uint16[L+18]=x,this.uint16[L+19]=b,this.uint16[L+20]=_,this.uint16[L+21]=w,this.uint16[L+22]=T,this.uint32[C+12]=k,this.float32[C+13]=A,this.float32[C+14]=M,this.float32[C+15]=S,this.float32[C+16]=E,t},e}(Pi);Xi.prototype.bytesPerElement=68,Nn("StructArrayLayout8i15ui1ul4f68",Xi);var Zi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.float32[r+0]=e,t},e}(Pi);Zi.prototype.bytesPerElement=4,Nn("StructArrayLayout1f4",Zi);var Ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.int16[i+0]=e,this.int16[i+1]=r,this.int16[i+2]=n,t},e}(Pi);Ji.prototype.bytesPerElement=6,Nn("StructArrayLayout3i6",Ji);var Ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=2*t,a=4*t;return this.uint32[i+0]=e,this.uint16[a+2]=r,this.uint16[a+3]=n,t},e}(Pi);Ki.prototype.bytesPerElement=8,Nn("StructArrayLayout1ul2ui8",Ki);var Qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.uint16[n+0]=e,this.uint16[n+1]=r,t},e}(Pi);Qi.prototype.bytesPerElement=4,Nn("StructArrayLayout2ui4",Qi);var $i=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint16[r+0]=e,t},e}(Pi);$i.prototype.bytesPerElement=2,Nn("StructArrayLayout1ui2",$i);var ta=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.float32[n+0]=e,this.float32[n+1]=r,t},e}(Pi);ta.prototype.bytesPerElement=8,Nn("StructArrayLayout2f8",ta);var ea=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,this.float32[a+3]=i,t},e}(Pi);ea.prototype.bytesPerElement=16,Nn("StructArrayLayout4f16",ea);var ra=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorPointX:{configurable:!0},anchorPointY:{configurable:!0},x1:{configurable:!0},y1:{configurable:!0},x2:{configurable:!0},y2:{configurable:!0},featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0},anchorPoint:{configurable:!0}};return r.anchorPointX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorPointY.get=function(){return this._structArray.int16[this._pos2+1]},r.x1.get=function(){return this._structArray.int16[this._pos2+2]},r.y1.get=function(){return this._structArray.int16[this._pos2+3]},r.x2.get=function(){return this._structArray.int16[this._pos2+4]},r.y2.get=function(){return this._structArray.int16[this._pos2+5]},r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+8]},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.anchorPoint.get=function(){return new i(this.anchorPointX,this.anchorPointY)},Object.defineProperties(e.prototype,r),e}(Ci);ra.prototype.size=20;var na=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ra(this,t)},e}(Vi);Nn("CollisionBoxArray",na);var ia=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},glyphStartIndex:{configurable:!0},numGlyphs:{configurable:!0},vertexStartIndex:{configurable:!0},lineStartIndex:{configurable:!0},lineLength:{configurable:!0},segment:{configurable:!0},lowerSize:{configurable:!0},upperSize:{configurable:!0},lineOffsetX:{configurable:!0},lineOffsetY:{configurable:!0},writingMode:{configurable:!0},placedOrientation:{configurable:!0},hidden:{configurable:!0},crossTileID:{configurable:!0},associatedIconIndex:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.glyphStartIndex.get=function(){return this._structArray.uint16[this._pos2+2]},r.numGlyphs.get=function(){return this._structArray.uint16[this._pos2+3]},r.vertexStartIndex.get=function(){return this._structArray.uint32[this._pos4+2]},r.lineStartIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.lineLength.get=function(){return this._structArray.uint32[this._pos4+4]},r.segment.get=function(){return this._structArray.uint16[this._pos2+10]},r.lowerSize.get=function(){return this._structArray.uint16[this._pos2+11]},r.upperSize.get=function(){return this._structArray.uint16[this._pos2+12]},r.lineOffsetX.get=function(){return this._structArray.float32[this._pos4+7]},r.lineOffsetY.get=function(){return this._structArray.float32[this._pos4+8]},r.writingMode.get=function(){return this._structArray.uint8[this._pos1+36]},r.placedOrientation.get=function(){return this._structArray.uint8[this._pos1+37]},r.placedOrientation.set=function(t){this._structArray.uint8[this._pos1+37]=t},r.hidden.get=function(){return this._structArray.uint8[this._pos1+38]},r.hidden.set=function(t){this._structArray.uint8[this._pos1+38]=t},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+10]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+10]=t},r.associatedIconIndex.get=function(){return this._structArray.int16[this._pos2+22]},Object.defineProperties(e.prototype,r),e}(Ci);ia.prototype.size=48;var aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ia(this,t)},e}(Wi);Nn("PlacedSymbolArray",aa);var oa=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},rightJustifiedTextSymbolIndex:{configurable:!0},centerJustifiedTextSymbolIndex:{configurable:!0},leftJustifiedTextSymbolIndex:{configurable:!0},verticalPlacedTextSymbolIndex:{configurable:!0},placedIconSymbolIndex:{configurable:!0},verticalPlacedIconSymbolIndex:{configurable:!0},key:{configurable:!0},textBoxStartIndex:{configurable:!0},textBoxEndIndex:{configurable:!0},verticalTextBoxStartIndex:{configurable:!0},verticalTextBoxEndIndex:{configurable:!0},iconBoxStartIndex:{configurable:!0},iconBoxEndIndex:{configurable:!0},verticalIconBoxStartIndex:{configurable:!0},verticalIconBoxEndIndex:{configurable:!0},featureIndex:{configurable:!0},numHorizontalGlyphVertices:{configurable:!0},numVerticalGlyphVertices:{configurable:!0},numIconVertices:{configurable:!0},numVerticalIconVertices:{configurable:!0},useRuntimeCollisionCircles:{configurable:!0},crossTileID:{configurable:!0},textBoxScale:{configurable:!0},textOffset0:{configurable:!0},textOffset1:{configurable:!0},collisionCircleDiameter:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.rightJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+2]},r.centerJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+3]},r.leftJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+4]},r.verticalPlacedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+5]},r.placedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+6]},r.verticalPlacedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+7]},r.key.get=function(){return this._structArray.uint16[this._pos2+8]},r.textBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.textBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+10]},r.verticalTextBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+11]},r.verticalTextBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+12]},r.iconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+13]},r.iconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+14]},r.verticalIconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+15]},r.verticalIconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+16]},r.featureIndex.get=function(){return this._structArray.uint16[this._pos2+17]},r.numHorizontalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+18]},r.numVerticalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+19]},r.numIconVertices.get=function(){return this._structArray.uint16[this._pos2+20]},r.numVerticalIconVertices.get=function(){return this._structArray.uint16[this._pos2+21]},r.useRuntimeCollisionCircles.get=function(){return this._structArray.uint16[this._pos2+22]},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+12]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+12]=t},r.textBoxScale.get=function(){return this._structArray.float32[this._pos4+13]},r.textOffset0.get=function(){return this._structArray.float32[this._pos4+14]},r.textOffset1.get=function(){return this._structArray.float32[this._pos4+15]},r.collisionCircleDiameter.get=function(){return this._structArray.float32[this._pos4+16]},Object.defineProperties(e.prototype,r),e}(Ci);oa.prototype.size=68;var sa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new oa(this,t)},e}(Xi);Nn("SymbolInstanceArray",sa);var la=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getoffsetX=function(t){return this.float32[1*t+0]},e}(Zi);Nn("GlyphOffsetArray",la);var ca=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getx=function(t){return this.int16[3*t+0]},e.prototype.gety=function(t){return this.int16[3*t+1]},e.prototype.gettileUnitDistanceFromAnchor=function(t){return this.int16[3*t+2]},e}(Ji);Nn("SymbolLineVertexArray",ca);var ua=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0}};return r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+0]},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+2]},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+3]},Object.defineProperties(e.prototype,r),e}(Ci);ua.prototype.size=8;var fa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ua(this,t)},e}(Ki);Nn("FeatureIndexArray",fa);var ha=Ii([{name:"a_pos",components:2,type:"Int16"}],4).members,pa=function(t){void 0===t&&(t=[]),this.segments=t};function da(t,e){return 256*(t=l(Math.floor(t),0,255))+(e=l(Math.floor(e),0,255))}pa.prototype.prepareSegment=function(t,e,r,n){var i=this.segments[this.segments.length-1];return t>pa.MAX_VERTEX_ARRAY_LENGTH&&_("Max vertices per segment is "+pa.MAX_VERTEX_ARRAY_LENGTH+": bucket requested "+t),(!i||i.vertexLength+t>pa.MAX_VERTEX_ARRAY_LENGTH||i.sortKey!==n)&&(i={vertexOffset:e.length,primitiveOffset:r.length,vertexLength:0,primitiveLength:0},void 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t.paint._values)if(r(a)){var o=t.paint.get(a);if(o instanceof bi&&zr(o.property.specification)){var s=Va(a,t.type),l=o.value,c=o.property.specification.type,u=o.property.useIntegerZoom,f=o.property.specification["property-type"],h="cross-faded"===f||"cross-faded-data-driven"===f;if("constant"===l.kind)this.binders[a]=h?new Ra(l.value,s):new Da(l.value,s,c),i.push("/u_"+a);else if("source"===l.kind||h){var p=Ha(a,c,"source");this.binders[a]=h?new Na(l,c,u,e,p,t.id):new Fa(l,s,c,p),i.push("/a_"+a)}else{var d=Ha(a,c,"composite");this.binders[a]=new Ba(l,s,c,u,e,d),i.push("/z_"+a)}}}this.cacheKey=i.sort().join("")};ja.prototype.getMaxValue=function(t){var e=this.binders[t];return e instanceof Fa||e instanceof Ba?e.maxValue:0},ja.prototype.populatePaintArrays=function(t,e,r,n,i){for(var a in this.binders){var o=this.binders[a];(o instanceof Fa||o instanceof Ba||o instanceof Na)&&o.populatePaintArray(t,e,r,n,i)}},ja.prototype.setConstantPatternPositions=function(t,e){for(var r in 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c=t.readVarint();n=7&c,a=c>>3}if(a--,1===n||2===n)o+=t.readSVarint(),s+=t.readSVarint(),1===n&&(e&&l.push(e),e=[]),e.push(new i(o,s));else{if(7!==n)throw new Error("unknown command "+n);e&&e.push(e[0].clone())}}return e&&l.push(e),l},ws.prototype.bbox=function(){var t=this._pbf;t.pos=this._geometry;for(var e=t.readVarint()+t.pos,r=1,n=0,i=0,a=0,o=1/0,s=-1/0,l=1/0,c=-1/0;t.pos<e;){if(n<=0){var u=t.readVarint();r=7&u,n=u>>3}if(n--,1===r||2===r)(i+=t.readSVarint())<o&&(o=i),i>s&&(s=i),(a+=t.readSVarint())<l&&(l=a),a>c&&(c=a);else if(7!==r)throw new Error("unknown command "+r)}return[o,l,s,c]},ws.prototype.toGeoJSON=function(t,e,r){var n,i,a=this.extent*Math.pow(2,r),o=this.extent*t,s=this.extent*e,l=this.loadGeometry(),c=ws.types[this.type];function u(t){for(var e=0;e<t.length;e++){var r=t[e],n=180-360*(r.y+s)/a;t[e]=[360*(r.x+o)/a-180,360/Math.PI*Math.atan(Math.exp(n*Math.PI/180))-90]}}switch(this.type){case 1:var f=[];for(n=0;n<l.length;n++)f[n]=l[n][0];u(l=f);break;case 2:for(n=0;n<l.length;n++)u(l[n]);break;case 3:for(l=function(t){var e=t.length;if(e<=1)return[t];for(var r,n,i=[],a=0;a<e;a++){var o=ks(t[a]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&i.push(r),r=[t[a]]):r.push(t[a]))}r&&i.push(r);return i}(l),n=0;n<l.length;n++)for(i=0;i<l[n].length;i++)u(l[n][i])}1===l.length?l=l[0]:c="Multi"+c;var h={type:"Feature",geometry:{type:c,coordinates:l},properties:this.properties};return"id"in this&&(h.id=this.id),h};var As=Ms;function Ms(t,e){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=t,this._keys=[],this._values=[],this._features=[],t.readFields(Ss,this,e),this.length=this._features.length}function Ss(t,e,r){15===t?e.version=r.readVarint():1===t?e.name=r.readString():5===t?e.extent=r.readVarint():2===t?e._features.push(r.pos):3===t?e._keys.push(r.readString()):4===t&&e._values.push(function(t){var e=null,r=t.readVarint()+t.pos;for(;t.pos<r;){var n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}function Es(t,e,r){if(3===t){var n=new As(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Ms.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error("feature index out of bounds");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new _s(this._pbf,e,this.extent,this._keys,this._values)};var Ls={VectorTile:function(t,e){this.layers=t.readFields(Es,{},e)},VectorTileFeature:_s,VectorTileLayer:As},Cs=Ls.VectorTileFeature.types,Ps=Math.pow(2,13);function Is(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*Ps)+o,i*Ps*2,a*Ps*2,Math.round(s))}var Os=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new Ri,this.indexArray=new Yi,this.programConfigurations=new Ua(bs,t.layers,t.zoom),this.segments=new pa,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function zs(t,e){return t.x===e.x&&(t.x<0||t.x>8192)||t.y===e.y&&(t.y<0||t.y>8192)}function Ds(t){return t.every((function(t){return t.x<0}))||t.every((function(t){return t.x>8192}))||t.every((function(t){return t.y<0}))||t.every((function(t){return t.y>8192}))}Os.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=ds("fill-extrusion",this.layers,e);for(var n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.feature,s=a.id,l=a.index,c=a.sourceLayerIndex,u=this.layers[0]._featureFilter.needGeometry,f={type:o.type,id:s,properties:o.properties,geometry:u?Ya(o):[]};if(this.layers[0]._featureFilter.filter(new pi(this.zoom),f,r)){var h={id:s,sourceLayerIndex:c,index:l,geometry:u?f.geometry:Ya(o),properties:o.properties,type:o.type,patterns:{}};void 0!==o.id&&(h.id=o.id),this.hasPattern?this.features.push(ms("fill-extrusion",this.layers,h,this.zoom,e)):this.addFeature(h,h.geometry,l,r,{}),e.featureIndex.insert(o,h.geometry,l,c,this.index,!0)}}},Os.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.features;n<i.length;n+=1){var a=i[n],o=a.geometry;this.addFeature(a,o,a.index,e,r)}},Os.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},Os.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},Os.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Os.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,bs),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},Os.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Os.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=hs(e,500);a<o.length;a+=1){for(var s=o[a],l=0,c=0,u=s;c<u.length;c+=1){l+=u[c].length}for(var f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),h=0,p=s;h<p.length;h+=1){var d=p[h];if(0!==d.length&&!Ds(d))for(var m=0,g=0;g<d.length;g++){var v=d[g];if(g>=1){var y=d[g-1];if(!zs(v,y)){f.vertexLength+4>pa.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=v.sub(y)._perp()._unit(),b=y.dist(v);m+b>32768&&(m=0),Is(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,0,m),Is(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,1,m),m+=b,Is(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,m),Is(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,m);var _=f.vertexLength;this.indexArray.emplaceBack(_,_+2,_+1),this.indexArray.emplaceBack(_+1,_+2,_+3),f.vertexLength+=4,f.primitiveLength+=2}}}}if(f.vertexLength+l>pa.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),"Polygon"===Cs[t.type]){for(var w=[],T=[],k=f.vertexLength,A=0,M=s;A<M.length;A+=1){var S=M[A];if(0!==S.length){S!==s[0]&&T.push(w.length/2);for(var E=0;E<S.length;E++){var L=S[E];Is(this.layoutVertexArray,L.x,L.y,0,0,1,1,0),w.push(L.x),w.push(L.y)}}}for(var C=Do(w,T),P=0;P<C.length;P+=3)this.indexArray.emplaceBack(k+C[P],k+C[P+2],k+C[P+1]);f.primitiveLength+=C.length/3,f.vertexLength+=l}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},Nn("FillExtrusionBucket",Os,{omit:["layers","features"]});var Rs={paint:new Si({"fill-extrusion-opacity":new wi(Lt["paint_fill-extrusion"]["fill-extrusion-opacity"]),"fill-extrusion-color":new Ti(Lt["paint_fill-extrusion"]["fill-extrusion-color"]),"fill-extrusion-translate":new wi(Lt["paint_fill-extrusion"]["fill-extrusion-translate"]),"fill-extrusion-translate-anchor":new wi(Lt["paint_fill-extrusion"]["fill-extrusion-translate-anchor"]),"fill-extrusion-pattern":new ki(Lt["paint_fill-extrusion"]["fill-extrusion-pattern"]),"fill-extrusion-height":new Ti(Lt["paint_fill-extrusion"]["fill-extrusion-height"]),"fill-extrusion-base":new Ti(Lt["paint_fill-extrusion"]["fill-extrusion-base"]),"fill-extrusion-vertical-gradient":new wi(Lt["paint_fill-extrusion"]["fill-extrusion-vertical-gradient"])})},Fs=function(t){function e(e){t.call(this,e,Rs)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new Os(t)},e.prototype.queryRadius=function(){return so(this.paint.get("fill-extrusion-translate"))},e.prototype.is3D=function(){return!0},e.prototype.queryIntersectsFeature=function(t,e,r,n,a,o,s,l){var c=lo(t,this.paint.get("fill-extrusion-translate"),this.paint.get("fill-extrusion-translate-anchor"),o.angle,s),u=this.paint.get("fill-extrusion-height").evaluate(e,r),f=this.paint.get("fill-extrusion-base").evaluate(e,r),h=function(t,e,r,n){for(var a=[],o=0,s=t;o<s.length;o+=1){var l=s[o],c=[l.x,l.y,n,1];xo(c,c,e),a.push(new i(c[0]/c[3],c[1]/c[3]))}return a}(c,l,0,0),p=function(t,e,r,n){for(var a=[],o=[],s=n[8]*e,l=n[9]*e,c=n[10]*e,u=n[11]*e,f=n[8]*r,h=n[9]*r,p=n[10]*r,d=n[11]*r,m=0,g=t;m<g.length;m+=1){for(var v=g[m],y=[],x=[],b=0,_=v;b<_.length;b+=1){var w=_[b],T=w.x,k=w.y,A=n[0]*T+n[4]*k+n[12],M=n[1]*T+n[5]*k+n[13],S=n[2]*T+n[6]*k+n[14],E=n[3]*T+n[7]*k+n[15],L=S+c,C=E+u,P=A+f,I=M+h,O=S+p,z=E+d,D=new i((A+s)/C,(M+l)/C);D.z=L/C,y.push(D);var R=new i(P/z,I/z);R.z=O/z,x.push(R)}a.push(y),o.push(x)}return[a,o]}(n,f,u,l);return function(t,e,r){var n=1/0;Ka(r,e)&&(n=Ns(r,e[0]));for(var i=0;i<e.length;i++)for(var a=e[i],o=t[i],s=0;s<a.length-1;s++){var l=a[s],c=a[s+1],u=o[s],f=o[s+1],h=[l,c,f,u,l];Za(r,h)&&(n=Math.min(n,Ns(r,h)))}return n!==1/0&&n}(p[0],p[1],h)},e}(Ei);function Bs(t,e){return t.x*e.x+t.y*e.y}function Ns(t,e){if(1===t.length){for(var r,n=0,i=e[n++];!r||i.equals(r);)if(!(r=e[n++]))return 1/0;for(;n<e.length;n++){var a=e[n],o=t[0],s=r.sub(i),l=a.sub(i),c=o.sub(i),u=Bs(s,s),f=Bs(s,l),h=Bs(l,l),p=Bs(c,s),d=Bs(c,l),m=u*h-f*f,g=(h*p-f*d)/m,v=(u*d-f*p)/m,y=1-g-v,x=i.z*y+r.z*g+a.z*v;if(isFinite(x))return x}return 1/0}for(var b=1/0,_=0,w=e;_<w.length;_+=1){var T=w[_];b=Math.min(b,T.z)}return b}var js=Ii([{name:"a_pos_normal",components:2,type:"Int16"},{name:"a_data",components:4,type:"Uint8"}],4).members,Us=Ls.VectorTileFeature.types,Vs=Math.cos(Math.PI/180*37.5),Hs=Math.pow(2,14)/.5,qs=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.layoutVertexArray=new Fi,this.indexArray=new Yi,this.programConfigurations=new Ua(js,t.layers,t.zoom),this.segments=new pa,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};qs.prototype.populate=function(t,e,r){this.hasPattern=ds("line",this.layers,e);for(var n=this.layers[0].layout.get("line-sort-key"),i=[],a=0,o=t;a<o.length;a+=1){var s=o[a],l=s.feature,c=s.id,u=s.index,f=s.sourceLayerIndex,h=this.layers[0]._featureFilter.needGeometry,p={type:l.type,id:c,properties:l.properties,geometry:h?Ya(l):[]};if(this.layers[0]._featureFilter.filter(new pi(this.zoom),p,r)){h||(p.geometry=Ya(l));var d=n?n.evaluate(p,{},r):void 0,m={id:c,properties:l.properties,type:l.type,sourceLayerIndex:f,index:u,geometry:p.geometry,patterns:{},sortKey:d};i.push(m)}}n&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var g=0,v=i;g<v.length;g+=1){var y=v[g],x=y,b=x.geometry,_=x.index,w=x.sourceLayerIndex;if(this.hasPattern){var T=ms("line",this.layers,y,this.zoom,e);this.patternFeatures.push(T)}else this.addFeature(y,b,_,r,{});var k=t[_].feature;e.featureIndex.insert(k,b,_,w,this.index)}},qs.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},qs.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.patternFeatures;n<i.length;n+=1){var a=i[n];this.addFeature(a,a.geometry,a.index,e,r)}},qs.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},qs.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},qs.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,js),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},qs.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},qs.prototype.addFeature=function(t,e,r,n,i){for(var a=this.layers[0].layout,o=a.get("line-join").evaluate(t,{}),s=a.get("line-cap"),l=a.get("line-miter-limit"),c=a.get("line-round-limit"),u=0,f=e;u<f.length;u+=1){var h=f[u];this.addLine(h,t,o,s,l,c)}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},qs.prototype.addLine=function(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,e.properties&&e.properties.hasOwnProperty("mapbox_clip_start")&&e.properties.hasOwnProperty("mapbox_clip_end")){this.clipStart=+e.properties.mapbox_clip_start,this.clipEnd=+e.properties.mapbox_clip_end;for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance()}for(var s="Polygon"===Us[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var c=0;c<l-1&&t[c].equals(t[c+1]);)c++;if(!(l<(s?3:2))){"bevel"===r&&(i=1.05);var u,f=this.overscaling<=16?122880/(512*this.overscaling):0,h=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 0,d=void 0,m=void 0,g=void 0;this.e1=this.e2=-1,s&&(u=t[l-2],g=t[c].sub(u)._unit()._perp());for(var v=c;v<l;v++)if(!(d=v===l-1?s?t[c+1]:void 0:t[v+1])||!t[v].equals(d)){g&&(m=g),u&&(p=u),u=t[v],g=d?d.sub(u)._unit()._perp():m;var y=(m=m||g).add(g);0===y.x&&0===y.y||y._unit();var x=m.x*g.x+m.y*g.y,b=y.x*g.x+y.y*g.y,_=0!==b?1/b:1/0,w=2*Math.sqrt(2-2*b),T=b<Vs&&p&&d,k=m.x*g.y-m.y*g.x>0;if(T&&v>c){var A=u.dist(p);if(A>2*f){var M=u.sub(u.sub(p)._mult(f/A)._round());this.updateDistance(p,M),this.addCurrentVertex(M,m,0,0,h),p=M}}var S=p&&d,E=S?r:s?"butt":n;if(S&&"round"===E&&(_<a?E="miter":_<=2&&(E="fakeround")),"miter"===E&&_>i&&(E="bevel"),"bevel"===E&&(_>2&&(E="flipbevel"),_<i&&(E="miter")),p&&this.updateDistance(p,u),"miter"===E)y._mult(_),this.addCurrentVertex(u,y,0,0,h);else if("flipbevel"===E){if(_>100)y=g.mult(-1);else{var L=_*m.add(g).mag()/m.sub(g).mag();y._perp()._mult(L*(k?-1:1))}this.addCurrentVertex(u,y,0,0,h),this.addCurrentVertex(u,y.mult(-1),0,0,h)}else if("bevel"===E||"fakeround"===E){var C=-Math.sqrt(_*_-1),P=k?C:0,I=k?0:C;if(p&&this.addCurrentVertex(u,m,P,I,h),"fakeround"===E)for(var O=Math.round(180*w/Math.PI/20),z=1;z<O;z++){var D=z/O;if(.5!==D){var R=D-.5;D+=D*R*(D-1)*((1.0904+x*(x*(3.55645-1.43519*x)-3.2452))*R*R+(.848013+x*(.215638*x-1.06021)))}var F=g.sub(m)._mult(D)._add(m)._unit()._mult(k?-1:1);this.addHalfVertex(u,F.x,F.y,!1,k,0,h)}d&&this.addCurrentVertex(u,g,-P,-I,h)}else if("butt"===E)this.addCurrentVertex(u,y,0,0,h);else if("square"===E){var B=p?1:-1;this.addCurrentVertex(u,y,B,B,h)}else"round"===E&&(p&&(this.addCurrentVertex(u,m,0,0,h),this.addCurrentVertex(u,m,1,1,h,!0)),d&&(this.addCurrentVertex(u,g,-1,-1,h,!0),this.addCurrentVertex(u,g,0,0,h)));if(T&&v<l-1){var N=u.dist(d);if(N>2*f){var j=u.add(d.sub(u)._mult(f/N)._round());this.updateDistance(u,j),this.addCurrentVertex(j,g,0,0,h),u=j}}}}},qs.prototype.addCurrentVertex=function(t,e,r,n,i,a){void 0===a&&(a=!1);var o=e.x+e.y*r,s=e.y-e.x*r,l=-e.x+e.y*n,c=-e.y-e.x*n;this.addHalfVertex(t,o,s,a,!1,r,i),this.addHalfVertex(t,l,c,a,!0,-n,i),this.distance>Hs/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,i,a))},qs.prototype.addHalfVertex=function(t,e,r,n,i,a,o){var s=t.x,l=t.y,c=.5*this.scaledDistance;this.layoutVertexArray.emplaceBack((s<<1)+(n?1:0),(l<<1)+(i?1:0),Math.round(63*e)+128,Math.round(63*r)+128,1+(0===a?0:a<0?-1:1)|(63&c)<<2,c>>6);var u=o.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,u),o.primitiveLength++),i?this.e2=u:this.e1=u},qs.prototype.updateScaledDistance=function(){this.scaledDistance=this.totalDistance>0?(this.clipStart+(this.clipEnd-this.clipStart)*this.distance/this.totalDistance)*(Hs-1):this.distance},qs.prototype.updateDistance=function(t,e){this.distance+=t.dist(e),this.updateScaledDistance()},Nn("LineBucket",qs,{omit:["layers","patternFeatures"]});var Gs=new Si({"line-cap":new wi(Lt.layout_line["line-cap"]),"line-join":new Ti(Lt.layout_line["line-join"]),"line-miter-limit":new wi(Lt.layout_line["line-miter-limit"]),"line-round-limit":new wi(Lt.layout_line["line-round-limit"]),"line-sort-key":new Ti(Lt.layout_line["line-sort-key"])}),Ys={paint:new Si({"line-opacity":new Ti(Lt.paint_line["line-opacity"]),"line-color":new Ti(Lt.paint_line["line-color"]),"line-translate":new wi(Lt.paint_line["line-translate"]),"line-translate-anchor":new wi(Lt.paint_line["line-translate-anchor"]),"line-width":new Ti(Lt.paint_line["line-width"]),"line-gap-width":new Ti(Lt.paint_line["line-gap-width"]),"line-offset":new Ti(Lt.paint_line["line-offset"]),"line-blur":new Ti(Lt.paint_line["line-blur"]),"line-dasharray":new Ai(Lt.paint_line["line-dasharray"]),"line-pattern":new ki(Lt.paint_line["line-pattern"]),"line-gradient":new Mi(Lt.paint_line["line-gradient"])}),layout:Gs},Ws=new(function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(e,r){return r=new pi(Math.floor(r.zoom),{now:r.now,fadeDuration:r.fadeDuration,zoomHistory:r.zoomHistory,transition:r.transition}),t.prototype.possiblyEvaluate.call(this,e,r)},e.prototype.evaluate=function(e,r,n,i){return r=u({},r,{zoom:Math.floor(r.zoom)}),t.prototype.evaluate.call(this,e,r,n,i)},e}(Ti))(Ys.paint.properties["line-width"].specification);Ws.useIntegerZoom=!0;var Xs=function(t){function e(e){t.call(this,e,Ys)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._handleSpecialPaintPropertyUpdate=function(t){"line-gradient"===t&&this._updateGradient()},e.prototype._updateGradient=function(){var 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Eo({width:o||1,height:s||1});for(var c in t){var u=t[c],f=r[c].paddedRect;Eo.copy(u.data,l,{x:0,y:0},{x:f.x+1,y:f.y+1},u.data)}for(var h in e){var p=e[h],d=n[h].paddedRect,m=d.x+1,g=d.y+1,v=p.data.width,y=p.data.height;Eo.copy(p.data,l,{x:0,y:0},{x:m,y:g},p.data),Eo.copy(p.data,l,{x:0,y:y-1},{x:m,y:g-1},{width:v,height:1}),Eo.copy(p.data,l,{x:0,y:0},{x:m,y:g+y},{width:v,height:1}),Eo.copy(p.data,l,{x:v-1,y:0},{x:m-1,y:g},{width:1,height:y}),Eo.copy(p.data,l,{x:0,y:0},{x:m+v,y:g},{width:1,height:y})}this.image=l,this.iconPositions=r,this.patternPositions=n};Ll.prototype.addImages=function(t,e,r){for(var n in t){var i=t[n],a={x:0,y:0,w:i.data.width+2,h:i.data.height+2};r.push(a),e[n]=new Sl(a,i),i.hasRenderCallback&&this.haveRenderCallbacks.push(n)}},Ll.prototype.patchUpdatedImages=function(t,e){for(var r in 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e=0,r=t;e<r.length;e+=1){if(0!==r[e].positionedGlyphs.length)return!1}return!0}(L)&&C}Il.fromFeature=function(t,e){for(var r=new Il,n=0;n<t.sections.length;n++){var i=t.sections[n];i.image?r.addImageSection(i):r.addTextSection(i,e)}return r},Il.prototype.length=function(){return this.text.length},Il.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},Il.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},Il.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},Il.prototype.verticalizePunctuation=function(){this.text=function(t){for(var e="",r=0;r<t.length;r++){var n=t.charCodeAt(r+1)||null,i=t.charCodeAt(r-1)||null;(!n||!Jn(n)||rl[t[r+1]])&&(!i||!Jn(i)||rl[t[r-1]])&&rl[t[r]]?e+=rl[t[r]]:e+=t[r]}return e}(this.text)},Il.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&zl[this.text.charCodeAt(e)];e++)t++;for(var r=this.text.length,n=this.text.length-1;n>=0&&n>=t&&zl[this.text.charCodeAt(n)];n--)r--;this.text=this.text.substring(t,r),this.sectionIndex=this.sectionIndex.slice(t,r)},Il.prototype.substring=function(t,e){var r=new Il;return r.text=this.text.substring(t,e),r.sectionIndex=this.sectionIndex.slice(t,e),r.sections=this.sections,r},Il.prototype.toString=function(){return this.text},Il.prototype.getMaxScale=function(){var t=this;return this.sectionIndex.reduce((function(e,r){return Math.max(e,t.sections[r].scale)}),0)},Il.prototype.addTextSection=function(t,e){this.text+=t.text,this.sections.push(Pl.forText(t.scale,t.fontStack||e));for(var r=this.sections.length-1,n=0;n<t.text.length;++n)this.sectionIndex.push(r)},Il.prototype.addImageSection=function(t){var e=t.image?t.image.name:"";if(0!==e.length){var r=this.getNextImageSectionCharCode();r?(this.text+=String.fromCharCode(r),this.sections.push(Pl.forImage(e)),this.sectionIndex.push(this.sections.length-1)):_("Reached maximum number of 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l=t.getSection(s);o+=Rl(t.getCharCode(s),l,n,i,e,a)}return o/Math.max(1,Math.ceil(o/r))}(t,e,r,n,i,o),u=t.text.indexOf("\u200b")>=0,f=0,h=0;h<t.length();h++){var p=t.getSection(h),d=t.getCharCode(h);if(zl[d]||(f+=Rl(d,p,n,i,e,o)),h<t.length()-1){var m=!!(!((s=d)<11904)&&(Yn["Bopomofo Extended"](s)||Yn.Bopomofo(s)||Yn["CJK Compatibility Forms"](s)||Yn["CJK Compatibility Ideographs"](s)||Yn["CJK Compatibility"](s)||Yn["CJK Radicals Supplement"](s)||Yn["CJK Strokes"](s)||Yn["CJK Symbols and Punctuation"](s)||Yn["CJK Unified Ideographs Extension A"](s)||Yn["CJK Unified Ideographs"](s)||Yn["Enclosed CJK Letters and Months"](s)||Yn["Halfwidth and Fullwidth Forms"](s)||Yn.Hiragana(s)||Yn["Ideographic Description Characters"](s)||Yn["Kangxi Radicals"](s)||Yn["Katakana Phonetic Extensions"](s)||Yn.Katakana(s)||Yn["Vertical Forms"](s)||Yn["Yi Radicals"](s)||Yn["Yi Syllables"](s)));(Dl[d]||m||p.imageName)&&l.push(Nl(h+1,f,c,l,Bl(d,t.getCharCode(h+1),m&&u),!1))}}return function t(e){return e?t(e.priorBreak).concat(e.index):[]}(Nl(t.length(),f,c,l,0,!0))}function Ul(t){var e=.5,r=.5;switch(t){case"right":case"top-right":case"bottom-right":e=1;break;case"left":case"top-left":case"bottom-left":e=0}switch(t){case"bottom":case"bottom-right":case"bottom-left":r=1;break;case"top":case"top-right":case"top-left":r=0}return{horizontalAlign:e,verticalAlign:r}}function Vl(t,e,r,n,i){if(n||i)for(var a=t[r],o=a.metrics.advance*a.scale,s=(t[r].x+o)*n,l=e;l<=r;l++)t[l].x-=s,t[l].y+=i}function Hl(t,e,r,n,i,a){var o,s=t.image;if(s.content){var l=s.content,c=s.pixelRatio||1;o=[l[0]/c,l[1]/c,s.displaySize[0]-l[2]/c,s.displaySize[1]-l[3]/c]}var u,f,h,p,d=e.left*a,m=e.right*a;"width"===r||"both"===r?(p=i[0]+d-n[3],f=i[0]+m+n[1]):f=(p=i[0]+(d+m-s.displaySize[0])/2)+s.displaySize[0];var 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F=Math.sin(R),B=Math.cos(R),N=[B,-F,F,B];C._matMult(N),P._matMult(N),O._matMult(N),I._matMult(N)}var j=n.stretch+n.fixed,U=l.stretch+l.fixed,V=a.stretch+a.fixed,H=c.stretch+c.fixed;return{tl:C,tr:P,bl:O,br:I,tex:{x:o.paddedRect.x+1+j,y:o.paddedRect.y+1+V,w:U-j,h:H-V},writingMode:void 0,glyphOffset:[0,0],sectionIndex:0,pixelOffsetTL:z,pixelOffsetBR:D,minFontScaleX:k/s/u,minFontScaleY:M/s/f,isSDF:r}};if(n&&(o.stretchX||o.stretchY))for(var L=ic(h,v,m),C=ic(p,y,g),P=0;P<L.length-1;P++)for(var I=L[P],O=L[P+1],z=0;z<C.length-1;z++){var D=C[z],R=C[z+1];a.push(E(I,D,O,R))}else a.push(E({fixed:0,stretch:-1},{fixed:0,stretch:-1},{fixed:0,stretch:l+1},{fixed:0,stretch:c+1}));return a}function nc(t,e,r){for(var n=0,i=0,a=t;i<a.length;i+=1){var o=a[i];n+=Math.max(e,Math.min(r,o[1]))-Math.max(e,Math.min(r,o[0]))}return n}function ic(t,e,r){for(var n=[{fixed:-1,stretch:0}],i=0,a=t;i<a.length;i+=1){var 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0===e&&(e=cc),this.data=t,this.length=this.data.length,this.compare=e,this.length>0)for(var r=(this.length>>1)-1;r>=0;r--)this._down(r)};function cc(t,e){return t<e?-1:t>e?1:0}function uc(t,e,r){void 0===e&&(e=1),void 0===r&&(r=!1);for(var n=1/0,a=1/0,o=-1/0,s=-1/0,l=t[0],c=0;c<l.length;c++){var u=l[c];(!c||u.x<n)&&(n=u.x),(!c||u.y<a)&&(a=u.y),(!c||u.x>o)&&(o=u.x),(!c||u.y>s)&&(s=u.y)}var f=o-n,h=s-a,p=Math.min(f,h),d=p/2,m=new lc([],fc);if(0===p)return new i(n,a);for(var g=n;g<o;g+=p)for(var v=a;v<s;v+=p)m.push(new hc(g+d,v+d,d,t));for(var y=function(t){for(var e=0,r=0,n=0,i=t[0],a=0,o=i.length,s=o-1;a<o;s=a++){var l=i[a],c=i[s],u=l.x*c.y-c.x*l.y;r+=(l.x+c.x)*u,n+=(l.y+c.y)*u,e+=3*u}return new hc(r/e,n/e,0,t)}(t),x=m.length;m.length;){var b=m.pop();(b.d>y.d||!y.d)&&(y=b,r&&console.log("found best %d after %d probes",Math.round(1e4*b.d)/1e4,x)),b.max-y.d<=e||(d=b.h/2,m.push(new hc(b.p.x-d,b.p.y-d,d,t)),m.push(new hc(b.p.x+d,b.p.y-d,d,t)),m.push(new hc(b.p.x-d,b.p.y+d,d,t)),m.push(new 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mc(t){switch(t){case"right":case"top-right":case"bottom-right":return"right";case"left":case"top-left":case"bottom-left":return"left"}return"center"}function gc(t,e,r,n,a,o,s,l,c,u,f,h,p,d,m){var g=function(t,e,r,n,a,o,s,l){for(var c=n.layout.get("text-rotate").evaluate(o,{})*Math.PI/180,u=[],f=0,h=e.positionedLines;f<h.length;f+=1)for(var p=h[f],d=0,m=p.positionedGlyphs;d<m.length;d+=1){var g=m[d];if(g.rect){var v=g.rect||{},y=4,x=!0,b=1,_=0,w=(a||l)&&g.vertical,T=g.metrics.advance*g.scale/2;if(l&&e.verticalizable){var k=24*(g.scale-1),A=(24-g.metrics.width*g.scale)/2;_=p.lineOffset/2-(g.imageName?-A:k)}if(g.imageName){var M=s[g.imageName];x=M.sdf,y=1/(b=M.pixelRatio)}var S=a?[g.x+T,g.y]:[0,0],E=a?[0,0]:[g.x+T+r[0],g.y+r[1]-_],L=[0,0];w&&(L=E,E=[0,0]);var C=(g.metrics.left-y)*g.scale-T+E[0],P=(-g.metrics.top-y)*g.scale+E[1],I=C+v.w*g.scale/b,O=P+v.h*g.scale/b,z=new i(C,P),D=new i(I,P),R=new i(C,O),F=new i(I,O);if(w){var B=new i(-T,T- -17),N=-Math.PI/2,j=12-T,U=g.imageName?j:0,V=new i(22-j,-U),H=new(Function.prototype.bind.apply(i,[null].concat(L)));z._rotateAround(N,B)._add(V)._add(H),D._rotateAround(N,B)._add(V)._add(H),R._rotateAround(N,B)._add(V)._add(H),F._rotateAround(N,B)._add(V)._add(H)}if(c){var q=Math.sin(c),G=Math.cos(c),Y=[G,-q,q,G];z._matMult(Y),D._matMult(Y),R._matMult(Y),F._matMult(Y)}var W=new i(0,0),X=new i(0,0);u.push({tl:z,tr:D,bl:R,br:F,tex:v,writingMode:e.writingMode,glyphOffset:S,sectionIndex:g.sectionIndex,isSDF:x,pixelOffsetTL:W,pixelOffsetBR:X,minFontScaleX:0,minFontScaleY:0})}}return u}(0,r,l,a,o,s,n,t.allowVerticalPlacement),v=t.textSizeData,y=null;"source"===v.kind?(y=[128*a.layout.get("text-size").evaluate(s,{})])[0]>32640&&_(t.layerIds[0]+': Value for "text-size" is >= 255. 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Reduce your "text-size".'),t.addSymbols(t.text,g,y,l,o,s,u,e,c.lineStartIndex,c.lineLength,p,m);for(var x=0,b=f;x<b.length;x+=1){h[b[x]]=t.text.placedSymbolArray.length-1}return 4*g.length}function vc(t){for(var e in t)return t[e];return null}function yc(t,e,r,n){var i=t.compareText;if(e in i){for(var a=i[e],o=a.length-1;o>=0;o--)if(n.dist(a[o])<r)return!0}else i[e]=[];return i[e].push(n),!1}var xc=Ls.VectorTileFeature.types,bc=[{name:"a_fade_opacity",components:1,type:"Uint8",offset:0}];function _c(t,e,r,n,i,a,o,s,l,c,u,f,h){var p=s?Math.min(32640,Math.round(s[0])):0,d=s?Math.min(32640,Math.round(s[1])):0;t.emplaceBack(e,r,Math.round(32*n),Math.round(32*i),a,o,(p<<1)+(l?1:0),d,16*c,16*u,256*f,256*h)}function wc(t,e,r){t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r)}function Tc(t){for(var e=0,r=t.sections;e<r.length;e+=1){if($n(r[e].text))return!0}return!1}var kc=function(t){this.layoutVertexArray=new Ni,this.indexArray=new Yi,this.programConfigurations=t,this.segments=new pa,this.dynamicLayoutVertexArray=new ji,this.opacityVertexArray=new Ui,this.placedSymbolArray=new aa};kc.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length&&0===this.indexArray.length&&0===this.dynamicLayoutVertexArray.length&&0===this.opacityVertexArray.length},kc.prototype.upload=function(t,e,r,n){this.isEmpty()||(r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Js.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,Ks.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,bc,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t))},kc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},Nn("SymbolBuffers",kc);var Ac=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new pa,this.collisionVertexArray=new Gi};Ac.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,Qs.members,!0)},Ac.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},Nn("CollisionBuffers",Ac);var Mc=function(t){this.collisionBoxArray=t.collisionBoxArray,this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.pixelRatio=t.pixelRatio,this.sourceLayerIndex=t.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=ho([]),this.placementViewportMatrix=ho([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=Gl(this.zoom,e["text-size"]),this.iconSizeData=Gl(this.zoom,e["icon-size"]);var r=this.layers[0].layout,n=r.get("symbol-sort-key"),i=r.get("symbol-z-order");this.sortFeaturesByKey="viewport-y"!==i&&void 0!==n.constantOr(1);var a="viewport-y"===i||"auto"===i&&!this.sortFeaturesByKey;this.sortFeaturesByY=a&&(r.get("text-allow-overlap")||r.get("icon-allow-overlap")||r.get("text-ignore-placement")||r.get("icon-ignore-placement")),"point"===r.get("symbol-placement")&&(this.writingModes=r.get("text-writing-mode").map((function(t){return Cl[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};Mc.prototype.createArrays=function(){this.text=new kc(new Ua(Js.members,this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new kc(new Ua(Js.members,this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new la,this.lineVertexArray=new ca,this.symbolInstances=new sa},Mc.prototype.calculateGlyphDependencies=function(t,e,r,n,i){for(var a=0;a<t.length;a++)if(e[t.charCodeAt(a)]=!0,(r||n)&&i){var o=rl[t.charAt(a)];o&&(e[o.charCodeAt(0)]=!0)}},Mc.prototype.populate=function(t,e,r){var n=this.layers[0],i=n.layout,a=i.get("text-font"),o=i.get("text-field"),s=i.get("icon-image"),l=("constant"!==o.value.kind||o.value.value instanceof ne&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&("constant"!==a.value.kind||a.value.value.length>0),c="constant"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,u=i.get("symbol-sort-key");if(this.features=[],l||c){for(var f=e.iconDependencies,h=e.glyphDependencies,p=e.availableImages,d=new pi(this.zoom),m=0,g=t;m<g.length;m+=1){var v=g[m],y=v.feature,x=v.id,b=v.index,_=v.sourceLayerIndex,w=n._featureFilter.needGeometry,T={type:y.type,id:x,properties:y.properties,geometry:w?Ya(y):[]};if(n._featureFilter.filter(d,T,r)){w||(T.geometry=Ya(y));var k=void 0;if(l){var A=n.getValueAndResolveTokens("text-field",T,r,p),M=ne.factory(A);Tc(M)&&(this.hasRTLText=!0),(!this.hasRTLText||"unavailable"===ui()||this.hasRTLText&&hi.isParsed())&&(k=el(M,n,T))}var S=void 0;if(c){var E=n.getValueAndResolveTokens("icon-image",T,r,p);S=E instanceof ie?E:ie.fromString(E)}if(k||S){var L=this.sortFeaturesByKey?u.evaluate(T,{},r):void 0,C={id:x,text:k,icon:S,index:b,sourceLayerIndex:_,geometry:Ya(y),properties:y.properties,type:xc[y.type],sortKey:L};if(this.features.push(C),S&&(f[S.name]=!0),k){var P=a.evaluate(T,{},r).join(","),I="map"===i.get("text-rotation-alignment")&&"point"!==i.get("symbol-placement");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(Cl.vertical)>=0;for(var O=0,z=k.sections;O<z.length;O+=1){var D=z[O];if(D.image)f[D.image.name]=!0;else{var R=Wn(k.toString()),F=D.fontStack||P,B=h[F]=h[F]||{};this.calculateGlyphDependencies(D.text,B,I,this.allowVerticalPlacement,R)}}}}}}"line"===i.get("symbol-placement")&&(this.features=function(t){var e={},r={},n=[],i=0;function a(e){n.push(t[e]),i++}function o(t,e,i){var a=r[t];return delete r[t],r[e]=a,n[a].geometry[0].pop(),n[a].geometry[0]=n[a].geometry[0].concat(i[0]),a}function s(t,r,i){var a=e[r];return delete e[r],e[t]=a,n[a].geometry[0].shift(),n[a].geometry[0]=i[0].concat(n[a].geometry[0]),a}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+":"+n.x+":"+n.y}for(var c=0;c<t.length;c++){var u=t[c],f=u.geometry,h=u.text?u.text.toString():null;if(h){var p=l(h,f),d=l(h,f,!0);if(p in r&&d in e&&r[p]!==e[d]){var m=s(p,d,f),g=o(p,d,n[m].geometry);delete e[p],delete r[d],r[l(h,n[g].geometry,!0)]=g,n[m].geometry=null}else p in r?o(p,d,f):d in e?s(p,d,f):(a(c),e[p]=i-1,r[d]=i-1)}else a(c)}return n.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}))}},Mc.prototype.update=function(t,e,r){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(t,e,this.layers,r),this.icon.programConfigurations.updatePaintArrays(t,e,this.layers,r))},Mc.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},Mc.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},Mc.prototype.upload=function(t){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(t),this.iconCollisionBox.upload(t)),this.text.upload(t,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(t,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},Mc.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},Mc.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},Mc.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),i=t.dist(e[t.segment]),a={},o=t.segment+1;o<e.length;o++)a[o]={x:e[o].x,y:e[o].y,tileUnitDistanceFromAnchor:n},o<e.length-1&&(n+=e[o+1].dist(e[o]));for(var s=t.segment||0;s>=0;s--)a[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:i},s>0&&(i+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var c=a[l];this.lineVertexArray.emplaceBack(c.x,c.y,c.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},Mc.prototype.addSymbols=function(t,e,r,n,i,a,o,s,l,c,u,f){for(var h=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,h,a.sortKey),m=this.glyphOffsetArray.length,g=d.vertexLength,v=this.allowVerticalPlacement&&o===Cl.vertical?Math.PI/2:0,y=a.text&&a.text.sections,x=0;x<e.length;x++){var b=e[x],_=b.tl,w=b.tr,T=b.bl,k=b.br,A=b.tex,M=b.pixelOffsetTL,S=b.pixelOffsetBR,E=b.minFontScaleX,L=b.minFontScaleY,C=b.glyphOffset,P=b.isSDF,I=b.sectionIndex,O=d.vertexLength,z=C[1];_c(p,s.x,s.y,_.x,z+_.y,A.x,A.y,r,P,M.x,M.y,E,L),_c(p,s.x,s.y,w.x,z+w.y,A.x+A.w,A.y,r,P,S.x,M.y,E,L),_c(p,s.x,s.y,T.x,z+T.y,A.x,A.y+A.h,r,P,M.x,S.y,E,L),_c(p,s.x,s.y,k.x,z+k.y,A.x+A.w,A.y+A.h,r,P,S.x,S.y,E,L),wc(t.dynamicLayoutVertexArray,s,v),h.emplaceBack(O,O+1,O+2),h.emplaceBack(O+1,O+2,O+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(C[0]),x!==e.length-1&&I===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,a,a.index,{},f,y&&y[I])}t.placedSymbolArray.emplaceBack(s.x,s.y,m,this.glyphOffsetArray.length-m,g,l,c,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,u)},Mc.prototype._addCollisionDebugVertex=function(t,e,r,n,i,a){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,i,Math.round(a.x),Math.round(a.y))},Mc.prototype.addCollisionDebugVertices=function(t,e,r,n,a,o,s){var l=a.segments.prepareSegment(4,a.layoutVertexArray,a.indexArray),c=l.vertexLength,u=a.layoutVertexArray,f=a.collisionVertexArray,h=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(u,f,o,h,p,new i(t,e)),this._addCollisionDebugVertex(u,f,o,h,p,new i(r,e)),this._addCollisionDebugVertex(u,f,o,h,p,new i(r,n)),this._addCollisionDebugVertex(u,f,o,h,p,new i(t,n)),l.vertexLength+=4;var d=a.indexArray;d.emplaceBack(c,c+1),d.emplaceBack(c+1,c+2),d.emplaceBack(c+2,c+3),d.emplaceBack(c+3,c),l.primitiveLength+=4},Mc.prototype.addDebugCollisionBoxes=function(t,e,r,n){for(var i=t;i<e;i++){var a=this.collisionBoxArray.get(i),o=a.x1,s=a.y1,l=a.x2,c=a.y2;this.addCollisionDebugVertices(o,s,l,c,n?this.textCollisionBox:this.iconCollisionBox,a.anchorPoint,r)}},Mc.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new Ac(Hi,$s.members,Qi),this.iconCollisionBox=new Ac(Hi,$s.members,Qi);for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e,!1),this.addDebugCollisionBoxes(e.verticalIconBoxStartIndex,e.verticalIconBoxEndIndex,e,!1)}},Mc.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,i,a,o,s,l){for(var c={},u=e;u<r;u++){var f=t.get(u);c.textBox={x1:f.x1,y1:f.y1,x2:f.x2,y2:f.y2,anchorPointX:f.anchorPointX,anchorPointY:f.anchorPointY},c.textFeatureIndex=f.featureIndex;break}for(var h=n;h<i;h++){var p=t.get(h);c.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},c.verticalTextFeatureIndex=p.featureIndex;break}for(var d=a;d<o;d++){var m=t.get(d);c.iconBox={x1:m.x1,y1:m.y1,x2:m.x2,y2:m.y2,anchorPointX:m.anchorPointX,anchorPointY:m.anchorPointY},c.iconFeatureIndex=m.featureIndex;break}for(var g=s;g<l;g++){var v=t.get(g);c.verticalIconBox={x1:v.x1,y1:v.y1,x2:v.x2,y2:v.y2,anchorPointX:v.anchorPointX,anchorPointY:v.anchorPointY},c.verticalIconFeatureIndex=v.featureIndex;break}return c},Mc.prototype.deserializeCollisionBoxes=function(t){this.collisionArrays=[];for(var e=0;e<this.symbolInstances.length;e++){var r=this.symbolInstances.get(e);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(t,r.textBoxStartIndex,r.textBoxEndIndex,r.verticalTextBoxStartIndex,r.verticalTextBoxEndIndex,r.iconBoxStartIndex,r.iconBoxEndIndex,r.verticalIconBoxStartIndex,r.verticalIconBoxEndIndex))}},Mc.prototype.hasTextData=function(){return this.text.segments.get().length>0},Mc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},Mc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},Mc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},Mc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},Mc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i<n;i+=4)t.indexArray.emplaceBack(i,i+1,i+2),t.indexArray.emplaceBack(i+1,i+2,i+3)},Mc.prototype.getSortedSymbolIndexes=function(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;for(var e=Math.sin(t),r=Math.cos(t),n=[],i=[],a=[],o=0;o<this.symbolInstances.length;++o){a.push(o);var s=this.symbolInstances.get(o);n.push(0|Math.round(e*s.anchorX+r*s.anchorY)),i.push(s.featureIndex)}return a.sort((function(t,e){return n[t]-n[e]||i[e]-i[t]})),a},Mc.prototype.addToSortKeyRanges=function(t,e){var r=this.sortKeyRanges[this.sortKeyRanges.length-1];r&&r.sortKey===e?r.symbolInstanceEnd=t+1:this.sortKeyRanges.push({sortKey:e,symbolInstanceStart:t,symbolInstanceEnd:t+1})},Mc.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r<n.length;r+=1){var i=n[r],a=this.symbolInstances.get(i);this.featureSortOrder.push(a.featureIndex),[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},Nn("SymbolBucket",Mc,{omit:["layers","collisionBoxArray","features","compareText"]}),Mc.MAX_GLYPHS=65535,Mc.addDynamicAttributes=wc;var Sc=new Si({"symbol-placement":new wi(Lt.layout_symbol["symbol-placement"]),"symbol-spacing":new wi(Lt.layout_symbol["symbol-spacing"]),"symbol-avoid-edges":new wi(Lt.layout_symbol["symbol-avoid-edges"]),"symbol-sort-key":new Ti(Lt.layout_symbol["symbol-sort-key"]),"symbol-z-order":new wi(Lt.layout_symbol["symbol-z-order"]),"icon-allow-overlap":new wi(Lt.layout_symbol["icon-allow-overlap"]),"icon-ignore-placement":new wi(Lt.layout_symbol["icon-ignore-placement"]),"icon-optional":new wi(Lt.layout_symbol["icon-optional"]),"icon-rotation-alignment":new wi(Lt.layout_symbol["icon-rotation-alignment"]),"icon-size":new Ti(Lt.layout_symbol["icon-size"]),"icon-text-fit":new wi(Lt.layout_symbol["icon-text-fit"]),"icon-text-fit-padding":new wi(Lt.layout_symbol["icon-text-fit-padding"]),"icon-image":new Ti(Lt.layout_symbol["icon-image"]),"icon-rotate":new Ti(Lt.layout_symbol["icon-rotate"]),"icon-padding":new wi(Lt.layout_symbol["icon-padding"]),"icon-keep-upright":new wi(Lt.layout_symbol["icon-keep-upright"]),"icon-offset":new Ti(Lt.layout_symbol["icon-offset"]),"icon-anchor":new Ti(Lt.layout_symbol["icon-anchor"]),"icon-pitch-alignment":new wi(Lt.layout_symbol["icon-pitch-alignment"]),"text-pitch-alignment":new wi(Lt.layout_symbol["text-pitch-alignment"]),"text-rotation-alignment":new wi(Lt.layout_symbol["text-rotation-alignment"]),"text-field":new Ti(Lt.layout_symbol["text-field"]),"text-font":new Ti(Lt.layout_symbol["text-font"]),"text-size":new Ti(Lt.layout_symbol["text-size"]),"text-max-width":new Ti(Lt.layout_symbol["text-max-width"]),"text-line-height":new wi(Lt.layout_symbol["text-line-height"]),"text-letter-spacing":new Ti(Lt.layout_symbol["text-letter-spacing"]),"text-justify":new Ti(Lt.layout_symbol["text-justify"]),"text-radial-offset":new Ti(Lt.layout_symbol["text-radial-offset"]),"text-variable-anchor":new wi(Lt.layout_symbol["text-variable-anchor"]),"text-anchor":new Ti(Lt.layout_symbol["text-anchor"]),"text-max-angle":new wi(Lt.layout_symbol["text-max-angle"]),"text-writing-mode":new wi(Lt.layout_symbol["text-writing-mode"]),"text-rotate":new Ti(Lt.layout_symbol["text-rotate"]),"text-padding":new wi(Lt.layout_symbol["text-padding"]),"text-keep-upright":new wi(Lt.layout_symbol["text-keep-upright"]),"text-transform":new Ti(Lt.layout_symbol["text-transform"]),"text-offset":new Ti(Lt.layout_symbol["text-offset"]),"text-allow-overlap":new wi(Lt.layout_symbol["text-allow-overlap"]),"text-ignore-placement":new wi(Lt.layout_symbol["text-ignore-placement"]),"text-optional":new wi(Lt.layout_symbol["text-optional"])}),Ec={paint:new Si({"icon-opacity":new Ti(Lt.paint_symbol["icon-opacity"]),"icon-color":new Ti(Lt.paint_symbol["icon-color"]),"icon-halo-color":new Ti(Lt.paint_symbol["icon-halo-color"]),"icon-halo-width":new Ti(Lt.paint_symbol["icon-halo-width"]),"icon-halo-blur":new Ti(Lt.paint_symbol["icon-halo-blur"]),"icon-translate":new wi(Lt.paint_symbol["icon-translate"]),"icon-translate-anchor":new wi(Lt.paint_symbol["icon-translate-anchor"]),"text-opacity":new Ti(Lt.paint_symbol["text-opacity"]),"text-color":new Ti(Lt.paint_symbol["text-color"],{runtimeType:Ut,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),"text-halo-color":new Ti(Lt.paint_symbol["text-halo-color"]),"text-halo-width":new Ti(Lt.paint_symbol["text-halo-width"]),"text-halo-blur":new Ti(Lt.paint_symbol["text-halo-blur"]),"text-translate":new wi(Lt.paint_symbol["text-translate"]),"text-translate-anchor":new wi(Lt.paint_symbol["text-translate-anchor"])}),layout:Sc},Lc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Ft,this.defaultValue=t};Lc.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},Lc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},Lc.prototype.outputDefined=function(){return!1},Lc.prototype.serialize=function(){return null},Nn("FormatSectionOverride",Lc,{omit:["defaultValue"]});var Cc=function(t){function e(e){t.call(this,e,Ec)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),"auto"===this.layout.get("icon-rotation-alignment")&&("point"!==this.layout.get("symbol-placement")?this.layout._values["icon-rotation-alignment"]="map":this.layout._values["icon-rotation-alignment"]="viewport"),"auto"===this.layout.get("text-rotation-alignment")&&("point"!==this.layout.get("symbol-placement")?this.layout._values["text-rotation-alignment"]="map":this.layout._values["text-rotation-alignment"]="viewport"),"auto"===this.layout.get("text-pitch-alignment")&&(this.layout._values["text-pitch-alignment"]=this.layout.get("text-rotation-alignment")),"auto"===this.layout.get("icon-pitch-alignment")&&(this.layout._values["icon-pitch-alignment"]=this.layout.get("icon-rotation-alignment")),"point"===this.layout.get("symbol-placement")){var n=this.layout.get("text-writing-mode");if(n){for(var i=[],a=0,o=n;a<o.length;a+=1){var s=o[a];i.indexOf(s)<0&&i.push(s)}this.layout._values["text-writing-mode"]=i}else this.layout._values["text-writing-mode"]=["horizontal"]}this._setPaintOverrides()},e.prototype.getValueAndResolveTokens=function(t,e,r,n){var i=this.layout.get(t).evaluate(e,{},r,n),a=this._unevaluatedLayout._values[t];return a.isDataDriven()||Yr(a.value)||!i?i:function(t,e){return e.replace(/{([^{}]+)}/g,(function(e,r){return r in t?String(t[r]):""}))}(e.properties,i)},e.prototype.createBucket=function(t){return new Mc(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=Ec.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var i=this.paint.get(n),a=new Lc(i),o=new Gr(a,i.property.specification),s=null;s="constant"===i.value.kind||"source"===i.value.kind?new Xr("source",o):new Zr("composite",o,i.value.zoomStops,i.value._interpolationType),this.paint._values[n]=new bi(i.property,s,i.parameters)}}},e.prototype._handleOverridablePaintPropertyUpdate=function(t,r,n){return!(!this.layout||r.isDataDriven()||n.isDataDriven())&&e.hasPaintOverride(this.layout,t)},e.hasPaintOverride=function(t,e){var r=t.get("text-field"),n=Ec.paint.properties[e],i=!1,a=function(t){for(var e=0,r=t;e<r.length;e+=1){var a=r[e];if(n.overrides&&n.overrides.hasOverride(a))return void(i=!0)}};if("constant"===r.value.kind&&r.value.value instanceof ne)a(r.value.value.sections);else if("source"===r.value.kind){var o=function(t){if(!i)if(t instanceof ce&&se(t.value)===Gt){var e=t.value;a(e.sections)}else t instanceof pe?a(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return i},e}(Ei),Pc={paint:new Si({"background-color":new wi(Lt.paint_background["background-color"]),"background-pattern":new Ai(Lt.paint_background["background-pattern"]),"background-opacity":new wi(Lt.paint_background["background-opacity"])})},Ic=function(t){function e(e){t.call(this,e,Pc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ei),Oc={paint:new Si({"raster-opacity":new wi(Lt.paint_raster["raster-opacity"]),"raster-hue-rotate":new wi(Lt.paint_raster["raster-hue-rotate"]),"raster-brightness-min":new wi(Lt.paint_raster["raster-brightness-min"]),"raster-brightness-max":new wi(Lt.paint_raster["raster-brightness-max"]),"raster-saturation":new wi(Lt.paint_raster["raster-saturation"]),"raster-contrast":new wi(Lt.paint_raster["raster-contrast"]),"raster-resampling":new wi(Lt.paint_raster["raster-resampling"]),"raster-fade-duration":new wi(Lt.paint_raster["raster-fade-duration"])})},zc=function(t){function e(e){t.call(this,e,Oc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ei);var Dc=function(t){function e(e){t.call(this,e,{}),this.implementation=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.is3D=function(){return"3d"===this.implementation.renderingMode},e.prototype.hasOffscreenPass=function(){return void 0!==this.implementation.prerender},e.prototype.recalculate=function(){},e.prototype.updateTransitions=function(){},e.prototype.hasTransition=function(){},e.prototype.serialize=function(){},e.prototype.onAdd=function(t){this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},e.prototype.onRemove=function(t){this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},e}(Ei),Rc={circle:_o,heatmap:Po,hillshade:Oo,fill:xs,"fill-extrusion":Fs,line:Xs,symbol:Cc,background:Ic,raster:zc};var Fc=self.HTMLImageElement,Bc=self.HTMLCanvasElement,Nc=self.HTMLVideoElement,jc=self.ImageData,Uc=self.ImageBitmap,Vc=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Vc.prototype.update=function(t,e,r){var n=t.width,i=t.height,a=!(this.size&&this.size[0]===n&&this.size[1]===i||r),o=this.context,s=o.gl;if(this.useMipmap=Boolean(e&&e.useMipmap),s.bindTexture(s.TEXTURE_2D,this.texture),o.pixelStoreUnpackFlipY.set(!1),o.pixelStoreUnpack.set(1),o.pixelStoreUnpackPremultiplyAlpha.set(this.format===s.RGBA&&(!e||!1!==e.premultiply)),a)this.size=[n,i],t instanceof Fc||t instanceof Bc||t instanceof Nc||t instanceof jc||Uc&&t instanceof Uc?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,i,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},c=l.x,u=l.y;t instanceof Fc||t instanceof Bc||t instanceof Nc||t instanceof jc||Uc&&t instanceof Uc?s.texSubImage2D(s.TEXTURE_2D,0,c,u,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,c,u,n,i,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Vc.prototype.bind=function(t,e,r){var n=this.context.gl;n.bindTexture(n.TEXTURE_2D,this.texture),r!==n.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(r=n.LINEAR),t!==this.filter&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,t),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,r||t),this.filter=t),e!==this.wrap&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,e),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,e),this.wrap=e)},Vc.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Vc.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var Hc=function(t){var e=this;this._callback=t,this._triggered=!1,"undefined"!=typeof MessageChannel&&(this._channel=new MessageChannel,this._channel.port2.onmessage=function(){e._triggered=!1,e._callback()})};Hc.prototype.trigger=function(){var t=this;this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout((function(){t._triggered=!1,t._callback()}),0))},Hc.prototype.remove=function(){delete this._channel,this._callback=function(){}};var qc=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},m(["receive","process"],this),this.invoker=new Hc(this.process),this.target.addEventListener("message",this.receive,!1),this.globalScope=k()?t:self};function Gc(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return[t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}qc.prototype.send=function(t,e,r,n,i){var a=this;void 0===i&&(i=!1);var o=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[o]=r);var s=S(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:i,sourceMapId:this.mapId,data:Hn(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:"<cancel>",targetMapId:n,sourceMapId:a.mapId})}}},qc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if("<cancel>"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else k()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},qc.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},qc.prototype.processTask=function(t,e){var r=this;if("<response>"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(qn(e.error)):n(null,qn(e.data)))}else{var i=!1,a=S(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:"<response>",sourceMapId:r.mapId,error:e?Hn(e):null,data:Hn(n,a)},a)}:function(t){i=!0},s=null,l=qn(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var c=e.type.split(".");s=this.parent.getWorkerSource(e.sourceMapId,c[0],l.source)[c[1]](l,o)}else o(new Error("Could not find function "+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},qc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener("message",this.receive,!1)};var Yc=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Yc.prototype.setNorthEast=function(t){return this._ne=t instanceof Wc?new Wc(t.lng,t.lat):Wc.convert(t),this},Yc.prototype.setSouthWest=function(t){return this._sw=t instanceof Wc?new Wc(t.lng,t.lat):Wc.convert(t),this},Yc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Wc)e=t,r=t;else{if(!(t instanceof Yc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Yc.convert(a))}var o=t;return this.extend(Wc.convert(o))}return this}if(e=t._sw,r=t._ne,!e||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new Wc(e.lng,e.lat),this._ne=new Wc(r.lng,r.lat)),this},Yc.prototype.getCenter=function(){return new Wc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Yc.prototype.getSouthWest=function(){return this._sw},Yc.prototype.getNorthEast=function(){return this._ne},Yc.prototype.getNorthWest=function(){return new Wc(this.getWest(),this.getNorth())},Yc.prototype.getSouthEast=function(){return new Wc(this.getEast(),this.getSouth())},Yc.prototype.getWest=function(){return this._sw.lng},Yc.prototype.getSouth=function(){return this._sw.lat},Yc.prototype.getEast=function(){return this._ne.lng},Yc.prototype.getNorth=function(){return this._ne.lat},Yc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Yc.prototype.toString=function(){return"LngLatBounds("+this._sw.toString()+", "+this._ne.toString()+")"},Yc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Yc.prototype.contains=function(t){var e=Wc.convert(t),r=e.lng,n=e.lat,i=this._sw.lat<=n&&n<=this._ne.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a},Yc.convert=function(t){return!t||t instanceof Yc?t:new Yc(t)};var Wc=function(t,e){if(isNaN(t)||isNaN(e))throw new Error("Invalid LngLat object: ("+t+", "+e+")");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error("Invalid LngLat latitude value: must be between -90 and 90")};Wc.prototype.wrap=function(){return new Wc(c(this.lng,-180,180),this.lat)},Wc.prototype.toArray=function(){return[this.lng,this.lat]},Wc.prototype.toString=function(){return"LngLat("+this.lng+", "+this.lat+")"},Wc.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return 6371008.8*Math.acos(Math.min(i,1))},Wc.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Yc(new Wc(this.lng-r,this.lat-e),new Wc(this.lng+r,this.lat+e))},Wc.convert=function(t){if(t instanceof Wc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Wc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&"object"==typeof t&&null!==t)return new Wc(Number("lng"in t?t.lng:t.lon),Number(t.lat));throw new Error("`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]")};var Xc=2*Math.PI*6371008.8;function Zc(t){return Xc*Math.cos(t*Math.PI/180)}function Jc(t){return(180+t)/360}function Kc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Qc(t,e){return t/Zc(e)}function $c(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var tu=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};tu.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Wc.convert(t);return new tu(Jc(r.lng),Kc(r.lat),Qc(e,r.lat))},tu.prototype.toLngLat=function(){return new Wc(360*this.x-180,$c(this.y))},tu.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Zc($c(e));var t,e},tu.prototype.meterInMercatorCoordinateUnits=function(){return 1/Xc*(t=$c(this.y),1/Math.cos(t*Math.PI/180));var t};var eu=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=iu(0,t,t,e,r)};eu.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},eu.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Gc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Gc(256*(r+1),256*(n+1),i),a[0]+","+a[1]+","+o[0]+","+o[1]),l=function(t,e,r){for(var n,i="",a=t;a>0;a--)i+=(e&(n=1<<a-1)?1:0)+(r&n?2:0);return i}(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace("{prefix}",(this.x%16).toString(16)+(this.y%16).toString(16)).replace("{z}",String(this.z)).replace("{x}",String(this.x)).replace("{y}",String("tms"===e?Math.pow(2,this.z)-this.y-1:this.y)).replace("{quadkey}",l).replace("{bbox-epsg-3857}",s)},eu.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new i(8192*(t.x*e-this.x),8192*(t.y*e-this.y))},eu.prototype.toString=function(){return this.z+"/"+this.x+"/"+this.y};var ru=function(t,e){this.wrap=t,this.canonical=e,this.key=iu(t,e.z,e.z,e.x,e.y)},nu=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new eu(r,+n,+i),this.key=iu(e,t,r,n,i)};function iu(t,e,r,n,i){(t*=2)<0&&(t=-1*t-1);var a=1<<r;return(a*a*t+a*i+n).toString(36)+r.toString(36)+e.toString(36)}nu.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},nu.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new nu(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new nu(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},nu.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?iu(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):iu(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},nu.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ<this.overscaledZ&&t.canonical.x===this.canonical.x>>e&&t.canonical.y===this.canonical.y>>e},nu.prototype.children=function(t){if(this.overscaledZ>=t)return[new nu(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new nu(e,this.wrap,e,r,n),new nu(e,this.wrap,e,r+1,n),new nu(e,this.wrap,e,r,n+1),new nu(e,this.wrap,e,r+1,n+1)]},nu.prototype.isLessThan=function(t){return this.wrap<t.wrap||!(this.wrap>t.wrap)&&(this.overscaledZ<t.overscaledZ||!(this.overscaledZ>t.overscaledZ)&&(this.canonical.x<t.canonical.x||!(this.canonical.x>t.canonical.x)&&this.canonical.y<t.canonical.y))},nu.prototype.wrapped=function(){return new nu(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},nu.prototype.unwrapTo=function(t){return new nu(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},nu.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},nu.prototype.toUnwrapped=function(){return new ru(this.wrap,this.canonical)},nu.prototype.toString=function(){return this.overscaledZ+"/"+this.canonical.x+"/"+this.canonical.y},nu.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new tu(t.x-this.wrap,t.y))},Nn("CanonicalTileID",eu),Nn("OverscaledTileID",nu,{omit:["posMatrix"]});var au=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError("DEM tiles must be square");if(r&&"mapbox"!==r&&"terrarium"!==r)return _('"'+r+'" is not a valid encoding type. Valid types include "mapbox" and "terrarium".');this.stride=e.height;var n=this.dim=e.height-2;this.data=new Uint32Array(e.data.buffer),this.encoding=r||"mapbox";for(var i=0;i<n;i++)this.data[this._idx(-1,i)]=this.data[this._idx(0,i)],this.data[this._idx(n,i)]=this.data[this._idx(n-1,i)],this.data[this._idx(i,-1)]=this.data[this._idx(i,0)],this.data[this._idx(i,n)]=this.data[this._idx(i,n-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(n,-1)]=this.data[this._idx(n-1,0)],this.data[this._idx(-1,n)]=this.data[this._idx(0,n-1)],this.data[this._idx(n,n)]=this.data[this._idx(n-1,n-1)]};au.prototype.get=function(t,e){var r=new Uint8Array(this.data.buffer),n=4*this._idx(t,e);return("terrarium"===this.encoding?this._unpackTerrarium:this._unpackMapbox)(r[n],r[n+1],r[n+2])},au.prototype.getUnpackVector=function(){return"terrarium"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},au.prototype._idx=function(t,e){if(t<-1||t>=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError("out of range source coordinates for DEM data");return(e+1)*this.stride+(t+1)},au.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},au.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},au.prototype.getPixels=function(){return new Eo({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},au.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error("dem dimension mismatch");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,c=a;c<o;c++)for(var u=n;u<i;u++)this.data[this._idx(u,c)]=t.data[this._idx(u+s,c+l)]},Nn("DEMData",au);var ou=function(t){this._stringToNumber={},this._numberToString=[];for(var e=0;e<t.length;e++){var r=t[e];this._stringToNumber[r]=e,this._numberToString[e]=r}};ou.prototype.encode=function(t){return this._stringToNumber[t]},ou.prototype.decode=function(t){return this._numberToString[t]};var su=function(t,e,r,n,i){this.type="Feature",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,this.id=i},lu={geometry:{configurable:!0}};lu.geometry.get=function(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},lu.geometry.set=function(t){this._geometry=t},su.prototype.toJSON=function(){var t={geometry:this.geometry};for(var e in this)"_geometry"!==e&&"_vectorTileFeature"!==e&&(t[e]=this[e]);return t},Object.defineProperties(su.prototype,lu);var cu=function(){this.state={},this.stateChanges={},this.deletedStates={}};cu.prototype.updateState=function(t,e,r){var n=String(e);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][n]=this.stateChanges[t][n]||{},u(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var i in this.deletedStates[t]={},this.state[t])i!==n&&(this.deletedStates[t][i]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var a in this.deletedStates[t][n]={},this.state[t][n])r[a]||(this.deletedStates[t][n][a]=null);else for(var o in r){this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]}},cu.prototype.removeFeatureState=function(t,e,r){if(!(null===this.deletedStates[t])){var n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e){if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null}else this.deletedStates[t]=null}},cu.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},i=this.stateChanges[t]||{},a=u({},n[r],i[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var o=this.deletedStates[t][e];if(null===o)return{};for(var s in o)delete a[s]}return a},cu.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},cu.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var i={};for(var a in this.stateChanges[n])this.state[n][a]||(this.state[n][a]={}),u(this.state[n][a],this.stateChanges[n][a]),i[a]=this.state[n][a];r[n]=i}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var c in this.deletedStates[o]){if(null===this.deletedStates[o][c])this.state[o][c]={};else for(var f=0,h=Object.keys(this.deletedStates[o][c]);f<h.length;f+=1){var p=h[f];delete this.state[o][c][p]}s[c]=this.state[o][c]}r[o]=r[o]||{},u(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t){t[d].setFeatureState(r,e)}};var uu=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new zn(8192,16,0),this.grid3D=new zn(8192,16,0),this.featureIndexArray=new fa,this.promoteId=e};function fu(t,e,r,n,i){return v(t,(function(t,a){var o=e instanceof _i?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function hu(t){for(var e=1/0,r=1/0,n=-1/0,i=-1/0,a=0,o=t;a<o.length;a+=1){var s=o[a];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),i=Math.max(i,s.y)}return{minX:e,minY:r,maxX:n,maxY:i}}function pu(t,e){return e-t}uu.prototype.insert=function(t,e,r,n,i,a){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,i);for(var s=a?this.grid3D:this.grid,l=0;l<e.length;l++){for(var c=e[l],u=[1/0,1/0,-1/0,-1/0],f=0;f<c.length;f++){var h=c[f];u[0]=Math.min(u[0],h.x),u[1]=Math.min(u[1],h.y),u[2]=Math.max(u[2],h.x),u[3]=Math.max(u[3],h.y)}u[0]<8192&&u[1]<8192&&u[2]>=0&&u[3]>=0&&s.insert(o,u[0],u[1],u[2],u[3])}},uu.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new Ls.VectorTile(new al(this.rawTileData)).layers,this.sourceLayerCoder=new ou(this.vtLayers?Object.keys(this.vtLayers).sort():["_geojsonTileLayer"])),this.vtLayers},uu.prototype.query=function(t,e,r,n){var a=this;this.loadVTLayers();for(var o=t.params||{},s=8192/t.tileSize/t.scale,l=sn(o.filter),c=t.queryGeometry,u=t.queryPadding*s,f=hu(c),h=this.grid.query(f.minX-u,f.minY-u,f.maxX+u,f.maxY+u),p=hu(t.cameraQueryGeometry),d=this.grid3D.query(p.minX-u,p.minY-u,p.maxX+u,p.maxY+u,(function(e,r,n,a){return function(t,e,r,n,a){for(var o=0,s=t;o<s.length;o+=1){var l=s[o];if(e<=l.x&&r<=l.y&&n>=l.x&&a>=l.y)return!0}var c=[new i(e,r),new i(e,a),new i(n,a),new i(n,r)];if(t.length>2)for(var u=0,f=c;u<f.length;u+=1){if(io(t,f[u]))return!0}for(var h=0;h<t.length-1;h++){if(ao(t[h],t[h+1],c))return!0}return!1}(t.cameraQueryGeometry,e-u,r-u,n+u,a+u)})),m=0,g=d;m<g.length;m+=1){var v=g[m];h.push(v)}h.sort(pu);for(var y,x={},b=function(i){var u=h[i];if(u!==y){y=u;var f=a.featureIndexArray.get(u),p=null;a.loadMatchingFeature(x,f.bucketIndex,f.sourceLayerIndex,f.featureIndex,l,o.layers,o.availableImages,e,r,n,(function(e,r,n){return p||(p=Ya(e)),r.queryIntersectsFeature(c,e,n,p,a.z,t.transform,s,t.pixelPosMatrix)}))}},_=0;_<h.length;_++)b(_);return x},uu.prototype.loadMatchingFeature=function(t,e,r,n,i,a,o,s,l,c,u){var f=this.bucketLayerIDs[e];if(!a||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),p=this.vtLayers[h].feature(n);if(i.filter(new pi(this.tileID.overscaledZ),p))for(var d=this.getId(p,h),m=0;m<f.length;m++){var g=f[m];if(!(a&&a.indexOf(g)<0)){var v=s[g];if(v){var y={};void 0!==d&&c&&(y=c.getState(v.sourceLayer||"_geojsonTileLayer",d));var x=l[g];x.paint=fu(x.paint,v.paint,p,y,o),x.layout=fu(x.layout,v.layout,p,y,o);var b=!u||u(p,v,y);if(b){var _=new su(p,this.z,this.x,this.y,d);_.layer=x;var w=t[g];void 0===w&&(w=t[g]=[]),w.push({featureIndex:n,feature:_,intersectionZ:b})}}}}}},uu.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a,o,s){var l={};this.loadVTLayers();for(var c=sn(i),u=0,f=t;u<f.length;u+=1){var h=f[u];this.loadMatchingFeature(l,r,n,h,c,a,o,s,e)}return l},uu.prototype.hasLayer=function(t){for(var e=0,r=this.bucketLayerIDs;e<r.length;e+=1)for(var n=0,i=r[e];n<i.length;n+=1){if(t===i[n])return!0}return!1},uu.prototype.getId=function(t,e){var r=t.id;if(this.promoteId){var n="string"==typeof this.promoteId?this.promoteId:this.promoteId[e];"boolean"==typeof(r=t.properties[n])&&(r=Number(r))}return r},Nn("FeatureIndex",uu,{omit:["rawTileData","sourceLayerCoder"]});var du=function(t,e){this.tileID=t,this.uid=h(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state="loading"};du.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<R.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},du.prototype.wasRequested=function(){return"errored"===this.state||"loaded"===this.state||"reloading"===this.state},du.prototype.loadVectorData=function(t,e,r){if(this.hasData()&&this.unloadVectorData(),this.state="loaded",t){for(var n in t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){var r={};if(!e)return r;for(var n=function(){var t=a[i],n=t.layerIds.map((function(t){return e.getLayer(t)})).filter(Boolean);if(0!==n.length){t.layers=n,t.stateDependentLayerIds&&(t.stateDependentLayers=t.stateDependentLayerIds.map((function(t){return n.filter((function(e){return e.id===t}))[0]})));for(var o=0,s=n;o<s.length;o+=1){var l=s[o];r[l.id]=t}}},i=0,a=t;i<a.length;i+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var i=this.buckets[n];if(i instanceof Mc){if(this.hasSymbolBuckets=!0,!r)break;i.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(var a in this.buckets){var o=this.buckets[a];if(o instanceof Mc&&o.hasRTLText){this.hasRTLText=!0,hi.isLoading()||hi.isLoaded()||"deferred"!==ui()||fi();break}}for(var s in this.queryPadding=0,this.buckets){var l=this.buckets[s];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(s).queryRadius(l))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new na},du.prototype.unloadVectorData=function(){for(var t in this.buckets)this.buckets[t].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state="unloaded"},du.prototype.getBucket=function(t){return this.buckets[t.id]},du.prototype.upload=function(t){for(var e in this.buckets){var r=this.buckets[e];r.uploadPending()&&r.upload(t)}var n=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new Vc(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Vc(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},du.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},du.prototype.queryRenderedFeatures=function(t,e,r,n,i,a,o,s,l,c){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:c,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},du.prototype.querySourceFeatures=function(t,e){var r=this.latestFeatureIndex;if(r&&r.rawTileData){var n=r.loadVTLayers(),i=e?e.sourceLayer:"",a=n._geojsonTileLayer||n[i];if(a)for(var o=sn(e&&e.filter),s=this.tileID.canonical,l=s.z,c=s.x,u=s.y,f={z:l,x:c,y:u},h=0;h<a.length;h++){var p=a.feature(h);if(o.filter(new pi(this.tileID.overscaledZ),p)){var d=r.getId(p,i),m=new su(p,l,c,u,d);m.tile=f,t.push(m)}}}},du.prototype.hasData=function(){return"loaded"===this.state||"reloading"===this.state||"expired"===this.state},du.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},du.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=A(t.cacheControl);r["max-age"]&&(this.expirationTime=Date.now()+1e3*r["max-age"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),i=!1;if(this.expirationTime>n)i=!1;else if(e)if(this.expirationTime<e)i=!0;else{var a=this.expirationTime-e;a?this.expirationTime=n+Math.max(a,3e4):i=!0}else i=!0;i?(this.expiredRequestCount++,this.state="expired"):this.expiredRequestCount=0}},du.prototype.getExpiryTimeout=function(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-(new Date).getTime(),Math.pow(2,31)-1)},du.prototype.setFeatureState=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData&&0!==Object.keys(t).length){var r=this.latestFeatureIndex.loadVTLayers();for(var n in this.buckets)if(e.style.hasLayer(n)){var i=this.buckets[n],a=i.layers[0].sourceLayer||"_geojsonTileLayer",o=r[a],s=t[a];if(o&&s&&0!==Object.keys(s).length){i.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});var l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(i)))}}}},du.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},du.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<R.now()},du.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},du.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=R.now()+t},du.prototype.setDependencies=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){r[i[n]]=!0}this.dependencies[t]=r},du.prototype.hasDependency=function(t,e){for(var r=0,n=t;r<n.length;r+=1){var i=n[r],a=this.dependencies[i];if(a)for(var o=0,s=e;o<s.length;o+=1){if(a[s[o]])return!0}}return!1};var mu=self.performance,gu=function(t){this._marks={start:[t.url,"start"].join("#"),end:[t.url,"end"].join("#"),measure:t.url.toString()},mu.mark(this._marks.start)};gu.prototype.finish=function(){mu.mark(this._marks.end);var t=mu.getEntriesByName(this._marks.measure);return 0===t.length&&(mu.measure(this._marks.measure,this._marks.start,this._marks.end),t=mu.getEntriesByName(this._marks.measure),mu.clearMarks(this._marks.start),mu.clearMarks(this._marks.end),mu.clearMeasures(this._marks.measure)),t},t.Actor=qc,t.AlphaImage=So,t.CanonicalTileID=eu,t.CollisionBoxArray=na,t.Color=te,t.DEMData=au,t.DataConstantProperty=wi,t.DictionaryCoder=ou,t.EXTENT=8192,t.ErrorEvent=St,t.EvaluationParameters=pi,t.Event=Mt,t.Evented=Et,t.FeatureIndex=uu,t.FillBucket=gs,t.FillExtrusionBucket=Os,t.ImageAtlas=Ll,t.ImagePosition=Sl,t.LineBucket=qs,t.LngLat=Wc,t.LngLatBounds=Yc,t.MercatorCoordinate=tu,t.ONE_EM=24,t.OverscaledTileID=nu,t.Point=i,t.Point$1=i,t.Properties=Si,t.Protobuf=al,t.RGBAImage=Eo,t.RequestManager=H,t.RequestPerformance=gu,t.ResourceType=dt,t.SegmentVector=pa,t.SourceFeatureState=cu,t.StructArrayLayout1ui2=$i,t.StructArrayLayout2f1f2i16=qi,t.StructArrayLayout2i4=zi,t.StructArrayLayout3ui6=Yi,t.StructArrayLayout4i8=Di,t.SymbolBucket=Mc,t.Texture=Vc,t.Tile=du,t.Transitionable=gi,t.Uniform1f=Sa,t.Uniform1i=Ma,t.Uniform2f=Ea,t.Uniform3f=La,t.Uniform4f=Ca,t.UniformColor=Pa,t.UniformMatrix4f=Oa,t.UnwrappedTileID=ru,t.ValidationError=Ct,t.WritingMode=Cl,t.ZoomHistory=Gn,t.add=function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t},t.addDynamicAttributes=wc,t.asyncAll=function(t,e,r){if(!t.length)return r(null,[]);var n=t.length,i=new Array(t.length),a=null;t.forEach((function(t,o){e(t,(function(t,e){t&&(a=t),i[o]=e,0==--n&&r(a,i)}))}))},t.bezier=o,t.bindAll=m,t.browser=R,t.cacheEntryPossiblyAdded=function(t){++ht>ot&&(t.getActor().send("enforceCacheSizeLimit",at),ht=0)},t.clamp=l,t.clearTileCache=function(t){var e=self.caches.delete("mapbox-tiles");t&&e.catch(t).then((function(){return t()}))},t.clipLine=ec,t.clone=function(t){var e=new fo(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e},t.clone$1=x,t.clone$2=function(t){var e=new fo(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=tl,t.config=F,t.create=function(){var t=new fo(16);return 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vt(t,e,r,n,i,a){return[Math.round(r*(t*n-i)),Math.round(r*(e*n-a))]}function yt(t,e,r,n,i){for(var a=e===i.maxZoom?0:i.tolerance/((1<<e)*i.extent),o={features:[],numPoints:0,numSimplified:0,numFeatures:0,source:null,x:r,y:n,z:e,transformed:!1,minX:2,minY:1,maxX:-1,maxY:0},s=0;s<t.length;s++){o.numFeatures++,xt(o,t[s],a,i);var l=t[s].minX,c=t[s].minY,u=t[s].maxX,f=t[s].maxY;l<o.minX&&(o.minX=l),c<o.minY&&(o.minY=c),u>o.maxX&&(o.maxX=u),f>o.maxY&&(o.maxY=f)}return o}function xt(t,e,r,n){var i=e.geometry,a=e.type,o=[];if("Point"===a||"MultiPoint"===a)for(var s=0;s<i.length;s+=3)o.push(i[s]),o.push(i[s+1]),t.numPoints++,t.numSimplified++;else if("LineString"===a)bt(o,i,t,r,!1,!1);else if("MultiLineString"===a||"Polygon"===a)for(s=0;s<i.length;s++)bt(o,i[s],t,r,"Polygon"===a,0===s);else if("MultiPolygon"===a)for(var l=0;l<i.length;l++){var c=i[l];for(s=0;s<c.length;s++)bt(o,c[s],t,r,!0,0===s)}if(o.length){var u=e.tags||null;if("LineString"===a&&n.lineMetrics){for(var f in u={},e.tags)u[f]=e.tags[f];u.mapbox_clip_start=i.start/i.size,u.mapbox_clip_end=i.end/i.size}var h={geometry:o,type:"Polygon"===a||"MultiPolygon"===a?3:"LineString"===a||"MultiLineString"===a?2:1,tags:u};null!==e.id&&(h.id=e.id),t.features.push(h)}}function bt(t,e,r,n,i,a){var o=n*n;if(n>0&&e.size<(i?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;l<e.length;l+=3)(0===n||e[l+2]>o)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;i&&function(t,e){for(var r=0,n=0,i=t.length,a=i-2;n<i;a=n,n+=2)r+=(t[n]-t[a])*(t[n+1]+t[a+1]);if(r>0===e)for(n=0,i=t.length;n<i/2;n+=2){var o=t[n],s=t[n+1];t[n]=t[i-2-n],t[n+1]=t[i-1-n],t[i-2-n]=o,t[i-1-n]=s}}(s,a),t.push(s)}}function _t(t,e){var r=(e=this.options=function(t,e){for(var r in e)t[r]=e[r];return t}(Object.create(this.options),e)).debug;if(r&&console.time("preprocess data"),e.maxZoom<0||e.maxZoom>24)throw new Error("maxZoom should be in the 0-24 range");if(e.promoteId&&e.generateId)throw new Error("promoteId and generateId cannot be used together.");var n=function(t,e){var r=[];if("FeatureCollection"===t.type)for(var n=0;n<t.features.length;n++)tt(r,t.features[n],e,n);else"Feature"===t.type?tt(r,t,e):tt(r,{geometry:t},e);return r}(t,e);this.tiles={},this.tileCoords=[],r&&(console.timeEnd("preprocess data"),console.log("index: maxZoom: %d, maxPoints: %d",e.indexMaxZoom,e.indexMaxPoints),console.time("generate tiles"),this.stats={},this.total=0),(n=function(t,e){var r=e.buffer/e.extent,n=t,i=ot(t,1,-1-r,r,0,-1,2,e),a=ot(t,1,1-r,2+r,0,-1,2,e);return(i||a)&&(n=ot(t,1,-r,1+r,0,-1,2,e)||[],i&&(n=dt(i,1).concat(n)),a&&(n=n.concat(dt(a,-1)))),n}(n,e)).length&&this.splitTile(n,0,0,0),r&&(n.length&&console.log("features: %d, points: %d",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd("generate tiles"),console.log("tiles generated:",this.total,JSON.stringify(this.stats)))}function wt(t,e,r){return 32*((1<<t)*r+e)+t}function Tt(t,e){var r=t.tileID.canonical;if(!this._geoJSONIndex)return e(null,null);var n=this._geoJSONIndex.getTile(r.z,r.x,r.y);if(!n)return e(null,null);var i=new g(n.features),a=_(i);0===a.byteOffset&&a.byteLength===a.buffer.byteLength||(a=new Uint8Array(a)),e(null,{vectorTile:i,rawData:a.buffer})}U.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,i=e.maxZoom,a=e.nodeSize;r&&console.time("total time");var o="prepare "+t.length+" points";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(H(t[l],l));this.trees[i+1]=new N(s,Z,J,a,Float32Array),r&&console.timeEnd(o);for(var c=i;c>=n;c--){var u=+Date.now();s=this._cluster(s,c),this.trees[c]=new N(s,Z,J,a,Float32Array),r&&console.log("z%d: %d clusters in %dms",c,s.length,+Date.now()-u)}return r&&console.timeEnd("total time"),this},U.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],c=[],u=0,f=l.range(Y(r),W(a),Y(i),W(n));u<f.length;u+=1){var h=f[u],p=l.points[h];c.push(p.numPoints?q(p):this.points[p.index])}return c},U.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),n="No cluster with the specified id.",i=this.trees[r];if(!i)throw new Error(n);var a=i.points[e];if(!a)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,c=i.within(a.x,a.y,o);l<c.length;l+=1){var u=c[l],f=i.points[u];f.parentId===t&&s.push(f.numPoints?q(f):this.points[f.index])}if(0===s.length)throw new Error(n);return s},U.prototype.getLeaves=function(t,e,r){e=e||10,r=r||0;var n=[];return this._appendLeaves(n,t,e,r,0),n},U.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),a=this.options,o=a.extent,s=a.radius/o,l=(r-s)/i,c=(r+1+s)/i,u={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,c),n.points,e,r,i,u),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,c),n.points,i,r,i,u),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,c),n.points,-1,r,i,u),u.features.length?u:null},U.prototype.getClusterExpansionZoom=function(t){for(var e=this._getOriginZoom(t)-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},U.prototype._appendLeaves=function(t,e,r,n,i){for(var a=0,o=this.getChildren(e);a<o.length;a+=1){var s=o[a],l=s.properties;if(l&&l.cluster?i+l.point_count<=n?i+=l.point_count:i=this._appendLeaves(t,l.cluster_id,r,n,i):i<n?i++:t.push(s),t.length===r)break}return i},U.prototype._addTileFeatures=function(t,e,r,n,i,a){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],c=l.numPoints,u={type:1,geometry:[[Math.round(this.options.extent*(l.x*i-r)),Math.round(this.options.extent*(l.y*i-n))]],tags:c?G(l):this.points[l.index].properties},f=void 0;c?f=l.id:this.options.generateId?f=l.index:this.points[l.index].id&&(f=this.points[l.index].id),void 0!==f&&(u.id=f),a.features.push(u)}},U.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(t,this.options.maxZoom+1))},U.prototype._cluster=function(t,e){for(var r=[],n=this.options,i=n.radius,a=n.extent,o=n.reduce,s=i/(a*Math.pow(2,e)),l=0;l<t.length;l++){var c=t[l];if(!(c.zoom<=e)){c.zoom=e;for(var u=this.trees[e+1],f=u.within(c.x,c.y,s),h=c.numPoints||1,p=c.x*h,d=c.y*h,m=o&&h>1?this._map(c,!0):null,g=(l<<5)+(e+1)+this.points.length,v=0,y=f;v<y.length;v+=1){var x=y[v],b=u.points[x];if(!(b.zoom<=e)){b.zoom=e;var _=b.numPoints||1;p+=b.x*_,d+=b.y*_,h+=_,b.parentId=g,o&&(m||(m=this._map(c,!0)),o(m,this._map(b)))}}1===h?r.push(c):(c.parentId=g,r.push(V(p/h,d/h,g,h,m)))}}return r},U.prototype._getOriginId=function(t){return t-this.points.length>>5},U.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},U.prototype._map=function(t,e){if(t.numPoints)return e?X({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?X({},n):n},_t.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},_t.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,c=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var u=1<<e,f=wt(e,r,n),h=this.tiles[f];if(!h&&(c>1&&console.time("creation"),h=this.tiles[f]=yt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),c)){c>1&&(console.log("tile z%d-%d-%d (features: %d, points: %d, simplified: %d)",e,r,n,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd("creation"));var p="z"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<<i-e;if(r!==Math.floor(a/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||h.numPoints<=l.indexMaxPoints)continue;if(h.source=null,0!==t.length){c>1&&console.time("clipping");var m,g,v,y,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;m=g=v=y=null,x=ot(t,u,r-_,r+T,0,h.minX,h.maxX,l),b=ot(t,u,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(m=ot(x,u,n-_,n+T,1,h.minY,h.maxY,l),g=ot(x,u,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(v=ot(b,u,n-_,n+T,1,h.minY,h.maxY,l),y=ot(b,u,n+w,n+k,1,h.minY,h.maxY,l),b=null),c>1&&console.timeEnd("clipping"),s.push(m||[],e+1,2*r,2*n),s.push(g||[],e+1,2*r,2*n+1),s.push(v||[],e+1,2*r+1,2*n),s.push(y||[],e+1,2*r+1,2*n+1)}}},_t.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<<t,s=wt(t,e=(e%o+o)%o,r);if(this.tiles[s])return gt(this.tiles[s],i);a>1&&console.log("drilling down to z%d-%d-%d",t,e,r);for(var l,c=t,u=e,f=r;!l&&c>0;)c--,u=Math.floor(u/2),f=Math.floor(f/2),l=this.tiles[wt(c,u,f)];return l&&l.source?(a>1&&console.log("found parent tile z%d-%d-%d",c,u,f),a>1&&console.time("drilling down"),this.splitTile(l.source,c,u,f,t,e,r),a>1&&console.timeEnd("drilling down"),this.tiles[s]?gt(this.tiles[s],i):null):null};var kt=function(e){function r(t,r,n,i){e.call(this,t,r,n,Tt),i&&(this.loadGeoJSON=i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&"Idle"!==this._state?this._state="NeedsLoadData":(this._state="Coalescing",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(a,o){if(a||!o)return r(a);if("object"!=typeof o)return r(new Error("Input data given to '"+n.source+"' is not a valid GeoJSON object."));f(o,!0);try{e._geoJSONIndex=n.cluster?new U(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),c=0,u=l;c<u.length;c+=1){var f=u[c],h=n[f],p=h[0],d=h[1],m=t.createExpression(d),g=t.createExpression("string"==typeof p?[p,["accumulated"],["get",f]]:p);i[f]=m.value,a[f]=g.value}return r.map=function(t){s.properties=t;for(var e={},r=0,n=l;r<n.length;r+=1){var a=n[r];e[a]=i[a].evaluate(o,s)}return e},r.reduce=function(t,e){s.properties=e;for(var r=0,n=l;r<n.length;r+=1){var i=n[r];o.accumulated=t[i],t[i]=a[i].evaluate(o,s)}},r}(n)).load(o.features):function(t,e){return new _t(t,e)}(o,n.geojsonVtOptions)}catch(a){return r(a)}e.loaded={};var s={};if(i){var l=i.finish();l&&(s.resourceTiming={},s.resourceTiming[n.source]=JSON.parse(JSON.stringify(l)))}r(null,s)}))}},r.prototype.coalesce=function(){"Coalescing"===this._state?this._state="Idle":"NeedsLoadData"===this._state&&(this._state="Coalescing",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded,i=t.uid;return n&&n[i]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if("string"!=typeof e.data)return r(new Error("Input data given to '"+e.source+"' is not a valid GeoJSON object."));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error("Input data given to '"+e.source+"' is not a valid GeoJSON object."))}}},r.prototype.removeSource=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),e()},r.prototype.getClusterExpansionZoom=function(t,e){try{e(null,this._geoJSONIndex.getClusterExpansionZoom(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterChildren=function(t,e){try{e(null,this._geoJSONIndex.getChildren(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterLeaves=function(t,e){try{e(null,this._geoJSONIndex.getLeaves(t.clusterId,t.limit,t.offset))}catch(t){e(t)}},r}(l);var At=function(e){var r=this;this.self=e,this.actor=new t.Actor(e,this),this.layerIndexes={},this.availableImages={},this.workerSourceTypes={vector:l,geojson:kt},this.workerSources={},this.demWorkerSources={},this.self.registerWorkerSource=function(t,e){if(r.workerSourceTypes[t])throw new Error('Worker source with name "'+t+'" already registered.');r.workerSourceTypes[t]=e},this.self.registerRTLTextPlugin=function(e){if(t.plugin.isParsed())throw new Error("RTL text plugin already registered.");t.plugin.applyArabicShaping=e.applyArabicShaping,t.plugin.processBidirectionalText=e.processBidirectionalText,t.plugin.processStyledBidirectionalText=e.processStyledBidirectionalText}};return At.prototype.setReferrer=function(t,e){this.referrer=e},At.prototype.setImages=function(t,e,r){for(var n in this.availableImages[t]=e,this.workerSources[t]){var i=this.workerSources[t][n];for(var a in 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JSON support":"insufficient Object support":"insufficient Function support":"insufficent Array support"}t.exports?t.exports=e:window&&(window.mapboxgl=window.mapboxgl||{},window.mapboxgl.supported=e,window.mapboxgl.notSupportedReason=r);var n={};e.webGLContextAttributes={antialias:!1,alpha:!0,stencil:!0,depth:!0}})),r={create:function(e,r,n){var i=t.window.document.createElement(e);return void 0!==r&&(i.className=r),n&&n.appendChild(i),i},createNS:function(e,r){return t.window.document.createElementNS(e,r)}},n=t.window.document.documentElement.style;function i(t){if(!n)return t[0];for(var e=0;e<t.length;e++)if(t[e]in n)return t[e];return t[0]}var a,o=i(["userSelect","MozUserSelect","WebkitUserSelect","msUserSelect"]);r.disableDrag=function(){n&&o&&(a=n[o],n[o]="none")},r.enableDrag=function(){n&&o&&(n[o]=a)};var s=i(["transform","WebkitTransform"]);r.setTransform=function(t,e){t.style[s]=e};var l=!1;try{var c=Object.defineProperty({},"passive",{get:function(){l=!0}});t.window.addEventListener("test",c,c),t.window.removeEventListener("test",c,c)}catch(t){l=!1}r.addEventListener=function(t,e,r,n){void 0===n&&(n={}),"passive"in n&&l?t.addEventListener(e,r,n):t.addEventListener(e,r,n.capture)},r.removeEventListener=function(t,e,r,n){void 0===n&&(n={}),"passive"in n&&l?t.removeEventListener(e,r,n):t.removeEventListener(e,r,n.capture)};var u=function(e){e.preventDefault(),e.stopPropagation(),t.window.removeEventListener("click",u,!0)};function f(t){var e=t.userImage;if(e&&e.render&&e.render())return t.data.replace(new Uint8Array(e.data.buffer)),!0;return!1}r.suppressClick=function(){t.window.addEventListener("click",u,!0),t.window.setTimeout((function(){t.window.removeEventListener("click",u,!0)}),0)},r.mousePos=function(e,r){var n=e.getBoundingClientRect();return new t.Point(r.clientX-n.left-e.clientLeft,r.clientY-n.top-e.clientTop)},r.touchPos=function(e,r){for(var 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r=this.images[t];e.version=r.version+1,this.images[t]=e,this.updatedImages[t]=!0},r.prototype.removeImage=function(t){var e=this.images[t];delete this.images[t],delete this.patterns[t],e.userImage&&e.userImage.onRemove&&e.userImage.onRemove()},r.prototype.listImages=function(){return Object.keys(this.images)},r.prototype.getImages=function(t,e){var r=!0;if(!this.isLoaded())for(var n=0,i=t;n<i.length;n+=1){var a=i[n];this.images[a]||(r=!1)}this.isLoaded()||r?this._notify(t,e):this.requestors.push({ids:t,callback:e})},r.prototype._notify=function(e,r){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i];this.images[o]||this.fire(new t.Event("styleimagemissing",{id:o}));var s=this.images[o];s?n[o]={data:s.data.clone(),pixelRatio:s.pixelRatio,sdf:s.sdf,version:s.version,stretchX:s.stretchX,stretchY:s.stretchY,content:s.content,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image "'+o+'" could not be loaded. Please make sure you have added the image with map.addImage() or a "sprite" property in your style. You can provide missing images by listening for the "styleimagemissing" map event.')}r(null,n)},r.prototype.getPixelSize=function(){var t=this.atlasImage;return{width:t.width,height:t.height}},r.prototype.getPattern=function(e){var r=this.patterns[e],n=this.getImage(e);if(!n)return null;if(r&&r.position.version===n.version)return r.position;if(r)r.position.version=n.version;else{var i={w:n.data.width+2,h:n.data.height+2,x:0,y:0},a=new t.ImagePosition(i,n);this.patterns[e]={bin:i,position:a}}return this._updatePatternAtlas(),this.patterns[e].position},r.prototype.bind=function(e){var r=e.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new t.Texture(e,this.atlasImage,r.RGBA),this.atlasTexture.bind(r.LINEAR,r.CLAMP_TO_EDGE)},r.prototype._updatePatternAtlas=function(){var e=[];for(var r in this.patterns)e.push(this.patterns[r].bin);var n=t.potpack(e),i=n.w,a=n.h,o=this.atlasImage;for(var s in o.resize({width:i||1,height:a||1}),this.patterns){var l=this.patterns[s].bin,c=l.x+1,u=l.y+1,f=this.images[s].data,h=f.width,p=f.height;t.RGBAImage.copy(f,o,{x:0,y:0},{x:c,y:u},{width:h,height:p}),t.RGBAImage.copy(f,o,{x:0,y:p-1},{x:c,y:u-1},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:c,y:u+p},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:h-1,y:0},{x:c-1,y:u},{width:1,height:p}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:c+h,y:u},{width:1,height:p})}this.dirty=!0},r.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},r.prototype.dispatchRenderCallbacks=function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!this.callbackDispatchedThisFrame[n]){this.callbackDispatchedThisFrame[n]=!0;var i=this.images[n];f(i)&&this.updateImage(n,i)}}},r}(t.Evented);var p=g,d=g,m=1e20;function g(t,e,r,n,i,a){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=i||"sans-serif",this.fontWeight=a||"normal",this.radius=r||8;var o=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement("canvas"),this.canvas.width=this.canvas.height=o,this.ctx=this.canvas.getContext("2d"),this.ctx.font=this.fontWeight+" "+this.fontSize+"px "+this.fontFamily,this.ctx.textBaseline="middle",this.ctx.fillStyle="black",this.gridOuter=new Float64Array(o*o),this.gridInner=new Float64Array(o*o),this.f=new Float64Array(o),this.d=new Float64Array(o),this.z=new Float64Array(o+1),this.v=new Int16Array(o),this.middle=Math.round(o/2*(navigator.userAgent.indexOf("Gecko/")>=0?1.2:1))}function v(t,e,r,n,i,a,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(y(n,i,a,o,r),l=0;l<r;l++)t[l*e+s]=i[l]}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(y(n,i,a,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(i[s])}}function y(t,e,r,n,i){r[0]=0,n[0]=-m,n[1]=+m;for(var a=1,o=0;a<i;a++){for(var s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);s<=n[o];)o--,s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);r[++o]=a,n[o]=s,n[o+1]=+m}for(a=0,o=0;a<i;a++){for(;n[o+1]<a;)o++;e[a]=(a-r[o])*(a-r[o])+t[r[o]]}}g.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),r=new Uint8ClampedArray(this.size*this.size),n=0;n<this.size*this.size;n++){var i=e.data[4*n+3]/255;this.gridOuter[n]=1===i?0:0===i?m:Math.pow(Math.max(0,.5-i),2),this.gridInner[n]=1===i?m:0===i?0:Math.pow(Math.max(0,i-.5),2)}for(v(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),v(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++){var a=this.gridOuter[n]-this.gridInner[n];r[n]=Math.max(0,Math.min(255,Math.round(255-255*(a/this.radius+this.cutoff))))}return r},p.default=d;var x=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};x.prototype.setURL=function(t){this.url=t},x.prototype.getGlyphs=function(e,r){var n=this,i=[];for(var a in e)for(var o=0,s=e[a];o<s.length;o+=1){var l=s[o];i.push({stack:a,id:l})}t.asyncAll(i,(function(t,e){var r=t.stack,i=t.id,a=n.entries[r];a||(a=n.entries[r]={glyphs:{},requests:{},ranges:{}});var o=a.glyphs[i];if(void 0===o){if(o=n._tinySDF(a,r,i))return a.glyphs[i]=o,void e(null,{stack:r,id:i,glyph:o});var s=Math.floor(i/256);if(256*s>65535)e(new Error("glyphs > 65535 not supported"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i<o.length;i+=1){(0,o[i])(t,e)}delete a.requests[s]}))),l.push((function(t,n){t?e(t):n&&e(null,{stack:r,id:i,glyph:n[i]||null})}))}}else e(null,{stack:r,id:i,glyph:o})}),(function(t,e){if(t)r(t);else if(e){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.stack,l=o.id,c=o.glyph;(n[s]||(n[s]={}))[l]=c&&{id:c.id,bitmap:c.bitmap.clone(),metrics:c.metrics}}r(null,n)}}))},x.prototype._doesCharSupportLocalGlyph=function(e){return!!this.localIdeographFontFamily&&(t.isChar["CJK Unified Ideographs"](e)||t.isChar["Hangul Syllables"](e)||t.isChar.Hiragana(e)||t.isChar.Katakana(e))},x.prototype._tinySDF=function(e,r,n){var i=this.localIdeographFontFamily;if(i&&this._doesCharSupportLocalGlyph(n)){var a=e.tinySDF;if(!a){var o="400";/bold/i.test(r)?o="900":/medium/i.test(r)?o="500":/light/i.test(r)&&(o="200"),a=e.tinySDF=new x.TinySDF(24,3,8,.25,i,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},a.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,i,a){var o=256*r,s=o+255,l=i.transformRequest(i.normalizeGlyphsURL(n).replace("{fontstack}",e).replace("{range}",o+"-"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,(function(e,r){if(e)a(e);else if(r){for(var n={},i=0,o=t.parseGlyphPBF(r);i<o.length;i+=1){var s=o[i];n[s.id]=s}a(null,n)}}))},x.TinySDF=p;var b=function(){this.specification=t.styleSpec.light.position};b.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},b.prototype.interpolate=function(e,r,n){return{x:t.number(e.x,r.x,n),y:t.number(e.y,r.y,n),z:t.number(e.z,r.z,n)}};var _=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new b,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),w=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(_),this.setLight(r),this._transitioning=this._transitionable.untransitioned()}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getLight=function(){return this._transitionable.serialize()},r.prototype.setLight=function(e,r){if(void 0===r&&(r={}),!this._validate(t.validateLight,e,r))for(var n in e){var i=e[n];t.endsWith(n,"-transition")?this._transitionable.setTransition(n.slice(0,-"-transition".length),i):this._transitionable.setValue(n,i)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),T=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};T.prototype.getDash=function(t,e){var r=t.join(",")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]},T.prototype.getDashRanges=function(t,e,r){var n=[],i=t.length%2==1?-t[t.length-1]*r:0,a=t[0]*r,o=!0;n.push({left:i,right:a,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){o=!o;var c=t[l];i=s*r,a=(s+=c)*r,n.push({left:i,right:a,isDash:o,zeroLength:0===c})}return n},T.prototype.addRoundDash=function(t,e,r){for(var n=e/2,i=-r;i<=r;i++)for(var a=this.nextRow+r+i,o=this.width*a,s=0,l=t[s],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),f=Math.abs(c-l.right),h=Math.min(u,f),p=void 0,d=i/r*(n+1);if(l.isDash){var m=n-Math.abs(d);p=Math.sqrt(h*h+m*m)}else p=n-Math.sqrt(h*h+d*d);this.data[o+c]=Math.max(0,Math.min(255,p+128))}},T.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),f=Math.abs(c-l.right),h=Math.min(u,f),p=l.isDash?h:-h;this.data[o+c]=Math.max(0,Math.min(255,p+128))}},T.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce("LineAtlas out of space"),null;for(var a=0,o=0;o<e.length;o++)a+=e[o];if(0!==a){var s=this.width/a,l=this.getDashRanges(e,this.width,s);r?this.addRoundDash(l,s,n):this.addRegularDash(l)}var c={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,c},T.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))};var k=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var i=this.workerPool.acquire(this.id),a=0;a<i.length;a++){var o=i[a],s=new e.Actor(o,n,this.id);s.name="Worker "+a,this.actors.push(s)}};function A(e,r,n){var i=function(i,a){if(i)return n(i);if(a){var o=t.pick(t.extend(a,e),["tiles","minzoom","maxzoom","attribution","mapbox_logo","bounds","scheme","tileSize","encoding"]);a.vector_layers&&(o.vectorLayers=a.vector_layers,o.vectorLayerIds=o.vectorLayers.map((function(t){return t.id}))),o.tiles=r.canonicalizeTileset(o,e.url),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),i):t.browser.frame((function(){return i(null,e)}))}k.prototype.broadcast=function(e,r,n){n=n||function(){},t.asyncAll(this.actors,(function(t,n){t.send(e,r,n)}),n)},k.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},k.prototype.remove=function(){this.actors.forEach((function(t){t.remove()})),this.actors=[],this.workerPool.release(this.id)},k.Actor=t.Actor;var M=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};M.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},M.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),i=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),a=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<a&&e.y>=i&&e.y<o};var S=function(e){function r(r,n,i,a){if(e.call(this),this.id=r,this.dispatcher=i,this.type="vector",this.minzoom=0,this.maxzoom=22,this.scheme="xyz",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.extend(this,t.pick(n,["url","scheme","tileSize","promoteId"])),this._options=t.extend({type:"vector"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error("vector tile sources must have a tileSize of 512");this.setEventedParent(a)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event("dataloading",{dataType:"source"})),this._tileJSONRequest=A(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new M(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"metadata"})),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"content"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme)),i={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};function a(n,i){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(i&&i.resourceTiming&&(e.resourceTiming=i.resourceTiming),this.map._refreshExpiredTiles&&i&&e.setExpiryData(i),e.loadVectorData(i,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}i.request.collectResourceTiming=this._collectResourceTiming,e.actor&&"expired"!==e.state?"loading"===e.state?e.reloadCallback=r:e.request=e.actor.send("reloadTile",i,a.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send("loadTile",i,a.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send("abortTile",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send("removeTile",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),E=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.dispatcher=i,this.setEventedParent(a),this.type="raster",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme="xyz",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:"raster"},n),t.extend(this,t.pick(n,["url","scheme","tileSize"]))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event("dataloading",{dataType:"source"})),this._tileJSONRequest=A(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new M(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"metadata"})),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"content"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,i=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(i,t.ResourceType.Tile),(function(i,a){if(delete e.request,e.aborted)e.state="unloaded",r(null);else if(i)e.state="errored",r(i);else if(a){n.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(a.width),e.texture?e.texture.update(a,{useMipmap:!0}):(e.texture=new t.Texture(o,a,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state="loaded",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}}))},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),L=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),this.type="raster-dem",this.maxzoom=22,this._options=t.extend({type:"raster-dem"},n),this.encoding=n.encoding||"mapbox"}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.serialize=function(){return{type:"raster-dem",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);function i(t,n){t&&(e.state="errored",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state="loaded",r(null))}e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,a){if(delete e.request,e.aborted)e.state="unloaded",r(null);else if(n)e.state="errored",r(n);else if(a){this.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=t.window.ImageBitmap&&a instanceof t.window.ImageBitmap&&t.offscreenCanvasSupported()?a:t.browser.getImageData(a,1),s={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:o,encoding:this.encoding};e.actor&&"expired"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send("loadDEMTile",s,i.bind(this)))}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID)},r.prototype._getNeighboringTiles=function(e){var r=e.canonical,n=Math.pow(2,r.z),i=(r.x-1+n)%n,a=0===r.x?e.wrap-1:e.wrap,o=(r.x+1+n)%n,s=r.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state="unloaded",t.actor&&t.actor.send("removeDEMTile",{uid:t.uid,source:this.id})},r}(E),C=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.type="geojson",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=i.getActor(),this.setEventedParent(a),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution),this.promoteId=n.promoteId;var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1,generateId:n.generateId||!1},clusterProperties:n.clusterProperties},n.workerOptions)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event("dataloading",{dataType:"source"})),this._updateWorkerData((function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:"source",sourceDataType:"metadata"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event("data",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event("dataloading",{dataType:"source"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:"source",sourceDataType:"content"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event("data",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send("geojson.getClusterExpansionZoom",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send("geojson.getClusterChildren",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send("geojson.getClusterLeaves",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;"string"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+".loadData",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+".coalesce",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?"reloadTile":"loadTile";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,"reloadTile"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send("removeTile",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send("removeSource",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),P=t.createLayout([{name:"a_pos",type:"Int16",components:2},{name:"a_texture_pos",type:"Int16",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type="image",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event("dataloading",{dataType:"source"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event("data",{dataType:"source",sourceDataType:"metadata"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.x),a=Math.max(a,l.y)}var c=i-r,u=a-n,f=Math.max(c,u),h=Math.max(0,Math.floor(-Math.log(f)/Math.LN2)),p=Math.pow(2,h);return new t.CanonicalTileID(h,Math.floor((r+i)/2*p),Math.floor((n+a)/2*p))}(n),this.minzoom=this.maxzoom=this.tileID.z;var i=n.map((function(t){return r.tileID.getTilePoint(t)._round()}));return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(i[0].x,i[0].y,0,0),this._boundsArray.emplaceBack(i[1].x,i[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(i[3].x,i[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(i[2].x,i[2].y,t.EXTENT,t.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.Event("data",{dataType:"source",sourceDataType:"content"})),this},r.prototype.prepare=function(){if(0!==Object.keys(this.tiles).length&&this.image){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new t.Texture(e,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];"loaded"!==i.state&&(i.state="loaded",i.texture=this.texture)}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state="errored",e(null))},r.prototype.serialize=function(){return{type:"image",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return!1},r}(t.Evented);var O=function(e){function r(t,r,n,i){e.call(this,t,r,n,i),this.roundZoom=!0,this.type="video",this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1;var r=this.options;this.urls=[];for(var n=0,i=r.urls;n<i.length;n+=1){var a=i[n];this.urls.push(this.map._requestManager.transformRequest(a,t.ResourceType.Source).url)}t.getVideo(this.urls,(function(r,n){e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(e.video=n,e.video.loop=!0,e.video.addEventListener("playing",(function(){e.map.triggerRepaint()})),e.map&&e.video.play(),e._finishLoading())}))},r.prototype.pause=function(){this.video&&this.video.pause()},r.prototype.play=function(){this.video&&this.video.play()},r.prototype.seek=function(e){if(this.video){var r=this.video.seekable;e<r.start(0)||e>r.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError("sources."+this.id,null,"Playback for this video can be set only between the "+r.start(0)+" and "+r.end(0)+"-second mark."))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];"loaded"!==i.state&&(i.state="loaded",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:"video",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),z=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return"number"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'"coordinates" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'missing required property "coordinates"'))),n.animate&&"boolean"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'optional "animate" property must be a boolean value'))),n.canvas?"string"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'"canvas" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'missing required property "canvas"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error("Canvas dimensions cannot be less than or equal to zero."))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];"loaded"!==a.state&&(a.state="loaded",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:"canvas",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var r=e[t];if(isNaN(r)||r<=0)return!0}return!1},r}(I),D={vector:S,raster:E,"raster-dem":L,geojson:C,video:O,image:I,canvas:z};function R(e,r){var n=t.identity([]);return t.translate(n,n,[1,1,0]),t.scale(n,n,[.5*e.width,.5*e.height,1]),t.multiply(n,n,e.calculatePosMatrix(r.toUnwrapped()))}function F(t,e,r,n,i,a){var o=function(t,e,r){if(t)for(var n=0,i=t;n<i.length;n+=1){var a=e[i[n]];if(a&&a.source===r&&"fill-extrusion"===a.type)return!0}else for(var o in e){var s=e[o];if(s.source===r&&"fill-extrusion"===s.type)return!0}return!1}(i&&i.layers,e,t.id),s=a.maxPitchScaleFactor(),l=t.tilesIn(n,s,o);l.sort(B);for(var c=[],u=0,f=l;u<f.length;u+=1){var h=f[u];c.push({wrappedTileID:h.tileID.wrapped().key,queryResults:h.tile.queryRenderedFeatures(e,r,t._state,h.queryGeometry,h.cameraQueryGeometry,h.scale,i,a,s,R(t.transform,h.tileID))})}var p=function(t){for(var e={},r={},n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.queryResults,s=a.wrappedTileID,l=r[s]=r[s]||{};for(var c in o)for(var u=o[c],f=l[c]=l[c]||{},h=e[c]=e[c]||[],p=0,d=u;p<d.length;p+=1){var m=d[p];f[m.featureIndex]||(f[m.featureIndex]=!0,h.push(m))}}return e}(c);for(var d in p)p[d].forEach((function(e){var r=e.feature,n=t.getFeatureState(r.layer["source-layer"],r.id);r.source=r.layer.source,r.layer["source-layer"]&&(r.sourceLayer=r.layer["source-layer"]),r.state=n}));return p}function B(t,e){var r=t.tileID,n=e.tileID;return r.overscaledZ-n.overscaledZ||r.canonical.y-n.canonical.y||r.wrap-n.wrap||r.canonical.x-n.canonical.x}var N=function(t,e){this.max=t,this.onRemove=e,this.reset()};N.prototype.reset=function(){for(var t in this.data)for(var e=0,r=this.data[t];e<r.length;e+=1){var n=r[e];n.timeout&&clearTimeout(n.timeout),this.onRemove(n.value)}return this.data={},this.order=[],this},N.prototype.add=function(t,e,r){var n=this,i=t.wrapped().key;void 0===this.data[i]&&(this.data[i]=[]);var a={value:e,timeout:void 0};if(void 0!==r&&(a.timeout=setTimeout((function(){n.remove(t,a)}),r)),this.data[i].push(a),this.order.push(i),this.order.length>this.max){var o=this._getAndRemoveByKey(this.order[0]);o&&this.onRemove(o)}return this},N.prototype.has=function(t){return t.wrapped().key in this.data},N.prototype.getAndRemove=function(t){return this.has(t)?this._getAndRemoveByKey(t.wrapped().key):null},N.prototype._getAndRemoveByKey=function(t){var e=this.data[t].shift();return e.timeout&&clearTimeout(e.timeout),0===this.data[t].length&&delete this.data[t],this.order.splice(this.order.indexOf(t),1),e.value},N.prototype.getByKey=function(t){var e=this.data[t];return e?e[0].value:null},N.prototype.get=function(t){return this.has(t)?this.data[t.wrapped().key][0].value:null},N.prototype.remove=function(t,e){if(!this.has(t))return this;var r=t.wrapped().key,n=void 0===e?0:this.data[r].indexOf(e),i=this.data[r][n];return this.data[r].splice(n,1),i.timeout&&clearTimeout(i.timeout),0===this.data[r].length&&delete this.data[r],this.onRemove(i.value),this.order.splice(this.order.indexOf(r),1),this},N.prototype.setMaxSize=function(t){for(this.max=t;this.order.length>this.max;){var e=this._getAndRemoveByKey(this.order[0]);e&&this.onRemove(e)}return this},N.prototype.filter=function(t){var e=[];for(var r in this.data)for(var n=0,i=this.data[r];n<i.length;n+=1){var a=i[n];t(a.value)||e.push(a)}for(var o=0,s=e;o<s.length;o+=1){var l=s[o];this.remove(l.value.tileID,l)}};var j=function(t,e,r){this.context=t;var n=t.gl;this.buffer=n.createBuffer(),this.dynamicDraw=Boolean(r),this.context.unbindVAO(),t.bindElementBuffer.set(this.buffer),n.bufferData(n.ELEMENT_ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?n.DYNAMIC_DRAW:n.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer};j.prototype.bind=function(){this.context.bindElementBuffer.set(this.buffer)},j.prototype.updateData=function(t){var e=this.context.gl;this.context.unbindVAO(),this.bind(),e.bufferSubData(e.ELEMENT_ARRAY_BUFFER,0,t.arrayBuffer)},j.prototype.destroy=function(){var t=this.context.gl;this.buffer&&(t.deleteBuffer(this.buffer),delete this.buffer)};var U={Int8:"BYTE",Uint8:"UNSIGNED_BYTE",Int16:"SHORT",Uint16:"UNSIGNED_SHORT",Int32:"INT",Uint32:"UNSIGNED_INT",Float32:"FLOAT"},V=function(t,e,r,n){this.length=e.length,this.attributes=r,this.itemSize=e.bytesPerElement,this.dynamicDraw=n,this.context=t;var i=t.gl;this.buffer=i.createBuffer(),t.bindVertexBuffer.set(this.buffer),i.bufferData(i.ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?i.DYNAMIC_DRAW:i.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer};V.prototype.bind=function(){this.context.bindVertexBuffer.set(this.buffer)},V.prototype.updateData=function(t){var e=this.context.gl;this.bind(),e.bufferSubData(e.ARRAY_BUFFER,0,t.arrayBuffer)},V.prototype.enableAttributes=function(t,e){for(var r=0;r<this.attributes.length;r++){var 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At=function(t,e,r){this.func=t,this.mask=e,this.range=r};At.ReadOnly=!1,At.ReadWrite=!0,At.disabled=new At(519,At.ReadOnly,[0,1]);var Mt=function(t,e,r,n,i,a){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=i,this.pass=a};Mt.disabled=new Mt({func:519,mask:0},0,0,7680,7680,7680);var St=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};St.disabled=new St(St.Replace=[1,0],t.Color.transparent,[!1,!1,!1,!1]),St.unblended=new St(St.Replace,t.Color.transparent,[!0,!0,!0,!0]),St.alphaBlended=new St([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Et=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Et.disabled=new Et(!1,1029,2305),Et.backCCW=new Et(!0,1029,2305);var Lt=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension("OES_vertex_array_object"),this.clearColor=new q(this),this.clearDepth=new G(this),this.clearStencil=new Y(this),this.colorMask=new W(this),this.depthMask=new X(this),this.stencilMask=new Z(this),this.stencilFunc=new J(this),this.stencilOp=new K(this),this.stencilTest=new Q(this),this.depthRange=new $(this),this.depthTest=new tt(this),this.depthFunc=new et(this),this.blend=new rt(this),this.blendFunc=new nt(this),this.blendColor=new it(this),this.blendEquation=new at(this),this.cullFace=new ot(this),this.cullFaceSide=new st(this),this.frontFace=new lt(this),this.program=new ct(this),this.activeTexture=new ut(this),this.viewport=new ft(this),this.bindFramebuffer=new ht(this),this.bindRenderbuffer=new pt(this),this.bindTexture=new dt(this),this.bindVertexBuffer=new mt(this),this.bindElementBuffer=new gt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new vt(this),this.pixelStoreUnpack=new yt(this),this.pixelStoreUnpackPremultiplyAlpha=new xt(this),this.pixelStoreUnpackFlipY=new bt(this),this.extTextureFilterAnisotropic=t.getExtension("EXT_texture_filter_anisotropic")||t.getExtension("MOZ_EXT_texture_filter_anisotropic")||t.getExtension("WEBKIT_EXT_texture_filter_anisotropic"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension("OES_texture_half_float"),this.extTextureHalfFloat&&(t.getExtension("OES_texture_half_float_linear"),this.extRenderToTextureHalfFloat=t.getExtension("EXT_color_buffer_half_float")),this.extTimerQuery=t.getExtension("EXT_disjoint_timer_query")};Lt.prototype.setDefault=function(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()},Lt.prototype.setDirty=function(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.extVertexArrayObject&&(this.bindVertexArrayOES.dirty=!0),this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0},Lt.prototype.createIndexBuffer=function(t,e){return new j(this,t,e)},Lt.prototype.createVertexBuffer=function(t,e,r){return new V(this,t,e,r)},Lt.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,i=n.createRenderbuffer();return this.bindRenderbuffer.set(i),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),i},Lt.prototype.createFramebuffer=function(t,e,r){return new kt(this,t,e,r)},Lt.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,i=0;e&&(i|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(i|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(i)},Lt.prototype.setCullFace=function(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))},Lt.prototype.setDepthMode=function(t){t.func!==this.gl.ALWAYS||t.mask?(this.depthTest.set(!0),this.depthFunc.set(t.func),this.depthMask.set(t.mask),this.depthRange.set(t.range)):this.depthTest.set(!1)},Lt.prototype.setStencilMode=function(t){t.test.func!==this.gl.ALWAYS||t.mask?(this.stencilTest.set(!0),this.stencilMask.set(t.mask),this.stencilOp.set([t.fail,t.depthFail,t.pass]),this.stencilFunc.set({func:t.test.func,ref:t.ref,mask:t.test.mask})):this.stencilTest.set(!1)},Lt.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,St.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Lt.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Ct=function(e){function r(r,n,i){var a=this;e.call(this),this.id=r,this.dispatcher=i,this.on("data",(function(t){"source"===t.dataType&&"metadata"===t.sourceDataType&&(a._sourceLoaded=!0),a._sourceLoaded&&!a._paused&&"source"===t.dataType&&"content"===t.sourceDataType&&(a.reload(),a.transform&&a.update(a.transform))})),this.on("error",(function(){a._sourceErrored=!0})),this._source=function(e,r,n,i){var a=new D[r.type](e,r,n,i);if(a.id!==e)throw new Error("Expected Source id to be "+e+" instead of "+a.id);return t.bindAll(["load","abort","unload","serialize","prepare"],a),a}(r,n,i,this),this._tiles={},this._cache=new N(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;for(var t in this._tiles){var e=this._tiles[t];if("loaded"!==e.state&&"errored"!==e.state)return!1}return!0},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=!0},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,(function(){}))},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,(function(){}))},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}},r.prototype.getIds=function(){return t.values(this._tiles).map((function(t){return t.tileID})).sort(Pt).map((function(t){return t.key}))},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var i in this._tiles)this._isIdRenderable(i,e)&&n.push(this._tiles[i]);return e?n.sort((function(e,n){var i=e.tileID,a=n.tileID,o=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle),s=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle);return i.overscaledZ-a.overscaledZ||s.y-o.y||s.x-o.x})).map((function(t){return t.tileID.key})):n.map((function(t){return t.tileID})).sort(Pt).map((function(t){return t.key}))},r.prototype.hasRenderableParent=function(t){var e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)},r.prototype._isIdRenderable=function(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())},r.prototype.reload=function(){if(this._paused)this._shouldReloadOnResume=!0;else for(var t in this._cache.reset(),this._tiles)"errored"!==this._tiles[t].state&&this._reloadTile(t,"reloading")},r.prototype._reloadTile=function(t,e){var r=this._tiles[t];r&&("loading"!==r.state&&(r.state=e),this._loadTile(r,this._tileLoaded.bind(this,r,t,e)))},r.prototype._tileLoaded=function(e,r,n,i){if(i)return e.state="errored",void(404!==i.status?this._source.fire(new t.ErrorEvent(i,{tile:e})):this.update(this.transform));e.timeAdded=t.browser.now(),"expired"===n&&(e.refreshedUponExpiration=!0),this._setTileReloadTimer(r,e),"raster-dem"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._state.initializeTileState(e,this.map?this.map.painter:null),this._source.fire(new t.Event("data",{dataType:"source",tile:e,coord:e.tileID}))},r.prototype._backfillDEM=function(t){for(var e=this.getRenderableIds(),r=0;r<e.length;r++){var n=e[r];if(t.neighboringTiles&&t.neighboringTiles[n]){var i=this.getTileByID(n);a(t,i),a(i,t)}}function a(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,i=Math.pow(2,t.tileID.canonical.z),a=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n="number"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(It(this._source.type)){for(var c={},u={},f=0,h=Object.keys(l);f<h.length;f+=1){var p=h[f],d=l[p],m=this._tiles[p];if(m&&!(m.fadeEndTime&&m.fadeEndTime<=t.browser.now())){var g=this.findLoadedParent(d,o);g&&(this._addTile(g.tileID),c[g.tileID.key]=g.tileID),u[p]=d}}for(var v in this._retainLoadedChildren(u,a,s,l),c)l[v]||(this._coveredTiles[v]=!0,l[v]=c[v])}for(var y in l)this._tiles[y].clearFadeHold();for(var x=0,b=t.keysDifference(this._tiles,l);x<b.length;x+=1){var _=b[x],w=this._tiles[_];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(_)}this._updateLoadedParentTileCache()}},r.prototype.releaseSymbolFadeTiles=function(){for(var t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)},r.prototype._updateRetainedTiles=function(t,e){for(var n={},i={},a=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,c=t;l<c.length;l+=1){var u=c[l],f=this._addTile(u);n[u.key]=u,f.hasData()||e<this._source.maxzoom&&(s[u.key]=u)}this._retainLoadedChildren(s,e,o,n);for(var h=0,p=t;h<p.length;h+=1){var d=p[h],m=this._tiles[d.key];if(!m.hasData()){if(e+1>this._source.maxzoom){var g=d.children(this._source.maxzoom)[0],v=this.getTile(g);if(v&&v.hasData()){n[g.key]=g;continue}}else{var y=d.children(this._source.maxzoom);if(n[y[0].key]&&n[y[1].key]&&n[y[2].key]&&n[y[3].key])continue}for(var x=m.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(m=this.getTile(_))&&x&&(m=this._addTile(_)),m&&(n[_.key]=_,x=m.wasRequested(),m.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a<o.length;a+=1){var s=o[a];this._loadedParentTiles[s]=r}}},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event("dataloading",{tile:r,coord:r.tileID,dataType:"source"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout((function(){r._reloadTile(t,"expired"),delete r._timers[t]}),n))},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&"reloading"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),c=s.map((function(t){return o.pointCoordinate(t)})),u=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,m=0,g=c;m<g.length;m+=1){var v=g[m];f=Math.min(f,v.x),h=Math.min(h,v.y),p=Math.max(p,v.x),d=Math.max(d,v.y)}for(var y=function(e){var n=i._tiles[u[e]];if(!n.holdingForFade()){var s=n.tileID,m=Math.pow(2,o.zoom-n.tileID.overscaledZ),g=r*n.queryPadding*t.EXTENT/n.tileSize/m,v=[s.getTilePoint(new t.MercatorCoordinate(f,h)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(v[0].x-g<t.EXTENT&&v[0].y-g<t.EXTENT&&v[1].x+g>=0&&v[1].y+g>=0){var y=l.map((function(t){return s.getTilePoint(t)})),x=c.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:y,cameraQueryGeometry:x,scale:m})}}},x=0;x<u.length;x++)y(x);return a},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map((function(t){return e._tiles[t].tileID})),n=0,i=r;n<i.length;n+=1){var a=i[n];a.posMatrix=this.transform.calculatePosMatrix(a.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(It(this._source.type))for(var e in this._tiles){var r=this._tiles[e];if(void 0!==r.fadeEndTime&&r.fadeEndTime>=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||"_geojsonTileLayer",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||"_geojsonTileLayer",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||"_geojsonTileLayer",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles){this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,"reloading")}this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function Pt(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function It(t){return"raster"===t||"image"===t||"video"===t}function Ot(){return new t.window.Worker(Zi.workerUrl)}Ct.maxOverzooming=10,Ct.maxUnderzooming=3;var zt="mapboxgl_preloaded_worker_pool",Dt=function(){this.active={}};Dt.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Dt.workerCount;)this.workers.push(new Ot);return this.active[t]=!0,this.workers.slice()},Dt.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((function(t){t.terminate()})),this.workers=null)},Dt.prototype.isPreloaded=function(){return!!this.active[zt]},Dt.prototype.numActive=function(){return Object.keys(this.active).length};var Rt,Ft=Math.floor(t.browser.hardwareConcurrency/2);function Bt(){return Rt||(Rt=new Dt),Rt}function Nt(e,r){var n={};for(var i in e)"ref"!==i&&(n[i]=e[i]);return t.refProperties.forEach((function(t){t in r&&(n[t]=r[t])})),n}function jt(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)"ref"in t[n]&&(t[n]=Nt(t[n],e[t[n].ref]));return t}Dt.workerCount=Math.max(Math.min(Ft,6),1);var Ut={setStyle:"setStyle",addLayer:"addLayer",removeLayer:"removeLayer",setPaintProperty:"setPaintProperty",setLayoutProperty:"setLayoutProperty",setFilter:"setFilter",addSource:"addSource",removeSource:"removeSource",setGeoJSONSourceData:"setGeoJSONSourceData",setLayerZoomRange:"setLayerZoomRange",setLayerProperty:"setLayerProperty",setCenter:"setCenter",setZoom:"setZoom",setBearing:"setBearing",setPitch:"setPitch",setSprite:"setSprite",setGlyphs:"setGlyphs",setTransition:"setTransition",setLight:"setLight"};function Vt(t,e,r){r.push({command:Ut.addSource,args:[t,e[t]]})}function Ht(t,e,r){e.push({command:Ut.removeSource,args:[t]}),r[t]=!0}function qt(t,e,r,n){Ht(t,r,n),Vt(t,e,r)}function Gt(e,r,n){var i;for(i in e[n])if(e[n].hasOwnProperty(i)&&"data"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;for(i in r[n])if(r[n].hasOwnProperty(i)&&"data"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;return!0}function Yt(e,r,n,i,a,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}))}function Wt(t){return t.id}function Xt(t,e){return t[e.id]=e,t}function Zt(e,r){if(!e)return[{command:Ut.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:Ut.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:Ut.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:Ut.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:Ut.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:Ut.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:Ut.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:Ut.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:Ut.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:Ut.setLight,args:[r.light]});var i={},a=[];!function(e,r,n,i){var a;for(a in r=r||{},e=e||{})e.hasOwnProperty(a)&&(r.hasOwnProperty(a)||Ht(a,n,i));for(a in r)r.hasOwnProperty(a)&&(e.hasOwnProperty(a)?t.deepEqual(e[a],r[a])||("geojson"===e[a].type&&"geojson"===r[a].type&&Gt(e,r,a)?n.push({command:Ut.setGeoJSONSourceData,args:[a,r[a].data]}):qt(a,r,n,i)):Vt(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach((function(t){i[t.source]?n.push({command:Ut.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(a),function(e,r,n){r=r||[];var i,a,o,s,l,c,u,f=(e=e||[]).map(Wt),h=r.map(Wt),p=e.reduce(Xt,{}),d=r.reduce(Xt,{}),m=f.slice(),g=Object.create(null);for(i=0,a=0;i<f.length;i++)o=f[i],d.hasOwnProperty(o)?a++:(n.push({command:Ut.removeLayer,args:[o]}),m.splice(m.indexOf(o,a),1));for(i=0,a=0;i<h.length;i++)o=h[h.length-1-i],m[m.length-1-i]!==o&&(p.hasOwnProperty(o)?(n.push({command:Ut.removeLayer,args:[o]}),m.splice(m.lastIndexOf(o,m.length-a),1)):a++,c=m[m.length-i],n.push({command:Ut.addLayer,args:[d[o],c]}),m.splice(m.length-i,0,o),g[o]=!0);for(i=0;i<h.length;i++)if(s=p[o=h[i]],l=d[o],!g[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s["source-layer"],l["source-layer"])&&t.deepEqual(s.type,l.type)){for(u in Yt(s.layout,l.layout,n,o,null,Ut.setLayoutProperty),Yt(s.paint,l.paint,n,o,null,Ut.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:Ut.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:Ut.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(u)&&"layout"!==u&&"paint"!==u&&"filter"!==u&&"metadata"!==u&&"minzoom"!==u&&"maxzoom"!==u&&(0===u.indexOf("paint.")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}));for(u in l)l.hasOwnProperty(u)&&!s.hasOwnProperty(u)&&"layout"!==u&&"paint"!==u&&"filter"!==u&&"metadata"!==u&&"minzoom"!==u&&"maxzoom"!==u&&(0===u.indexOf("paint.")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}))}else n.push({command:Ut.removeLayer,args:[o]}),c=m[m.lastIndexOf(o)+1],n.push({command:Ut.addLayer,args:[l,c]})}(o,r.layers,n)}catch(t){console.warn("Unable to compute style diff:",t),n=[{command:Ut.setStyle,args:[r]}]}return n}var Jt=function(t,e){this.reset(t,e)};Jt.prototype.reset=function(t,e){this.points=t||[],this._distances=[0];for(var r=1;r<this.points.length;r++)this._distances[r]=this._distances[r-1]+this.points[r].dist(this.points[r-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(e||0,.5*this.length),this.paddedLength=this.length-2*this.padding},Jt.prototype.lerp=function(e){if(1===this.points.length)return this.points[0];e=t.clamp(e,0,1);for(var r=1,n=this._distances[r],i=e*this.paddedLength+this.padding;n<i&&r<this._distances.length;)n=this._distances[++r];var a=r-1,o=this._distances[a],s=n-o,l=s>0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Kt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a<this.xCellCount*this.yCellCount;a++)n.push([]),i.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function Qt(e,r,n,i,a){var o=t.create();return r?(t.scale(o,o,[1/a,1/a,1]),n||t.rotateZ(o,o,i.angle)):t.multiply(o,i.labelPlaneMatrix,e),o}function $t(e,r,n,i,a){if(r){var o=t.clone(e);return t.scale(o,o,[a,a,1]),n||t.rotateZ(o,o,-i.angle),o}return i.glCoordMatrix}function te(e,r){var n=[e.x,e.y,0,1];fe(n,n,r);var i=n[3];return{point:new t.Point(n[0]/i,n[1]/i),signedDistanceFromCamera:i}}function ee(t,e){return.5+t/e*.5}function re(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ne(e,r,n,i,a,o,s,l){var c=i?e.textSizeData:e.iconSizeData,u=t.evaluateSizeForZoom(c,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,m=n.transform.width/n.transform.height,g=!1,v=0;v<d.length;v++){var y=d.get(v);if(y.hidden||y.writingMode===t.WritingMode.vertical&&!g)ue(y.numGlyphs,h);else{g=!1;var x=[y.anchorX,y.anchorY,0,1];if(t.transformMat4(x,x,r),re(x,f)){var b=x[3],_=ee(n.transform.cameraToCenterDistance,b),w=t.evaluateSizeForFeature(c,u,y),T=s?w/_:w*_,k=new t.Point(y.anchorX,y.anchorY),A=te(k,a).point,M={},S=oe(y,T,!1,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,m);g=S.useVertical,(S.notEnoughRoom||g||S.needsFlipping&&oe(y,T,!0,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,m).notEnoughRoom)&&ue(y.numGlyphs,h)}else ue(y.numGlyphs,h)}}i?e.text.dynamicLayoutVertexBuffer.updateData(h):e.icon.dynamicLayoutVertexBuffer.updateData(h)}function ie(t,e,r,n,i,a,o,s,l,c,u){var f=s.glyphStartIndex+s.numGlyphs,h=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),m=e.getoffsetX(f-1),g=le(t*d,r,n,i,a,o,s.segment,h,p,l,c,u);if(!g)return null;var v=le(t*m,r,n,i,a,o,s.segment,h,p,l,c,u);return v?{first:g,last:v}:null}function ae(e,r,n,i){if(e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*i)return{useVertical:!0};return(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function oe(e,r,n,i,a,o,s,l,c,u,f,h,p,d){var m,g=r/24,v=e.lineOffsetX*g,y=e.lineOffsetY*g;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=ie(g,l,v,y,n,f,h,e,c,o,p);if(!w)return{notEnoughRoom:!0};var T=te(w.first.point,s).point,k=te(w.last.point,s).point;if(i&&!n){var A=ae(e.writingMode,T,k,d);if(A)return A}m=[w.first];for(var M=e.glyphStartIndex+1;M<x-1;M++)m.push(le(g*l.getoffsetX(M),v,y,n,f,h,e.segment,b,_,c,o,p));m.push(w.last)}else{if(i&&!n){var S=te(h,a).point,E=e.lineStartIndex+e.segment+1,L=new t.Point(c.getx(E),c.gety(E)),C=te(L,a),P=C.signedDistanceFromCamera>0?C.point:se(h,L,S,1,a),I=ae(e.writingMode,S,P,d);if(I)return I}var O=le(g*l.getoffsetX(e.glyphStartIndex),v,y,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,c,o,p);if(!O)return{notEnoughRoom:!0};m=[O]}for(var z=0,D=m;z<D.length;z+=1){var R=D[z];t.addDynamicAttributes(u,R.point,R.angle)}return{}}function se(t,e,r,n,i){var a=te(t.add(t.sub(e)._unit()),i).point,o=r.sub(a);return r.add(o._mult(n/o.mag()))}function le(e,r,n,i,a,o,s,l,c,u,f,h){var p=i?e-r:e+r,d=p>0?1:-1,m=0;i&&(d*=-1,m=Math.PI),d<0&&(m+=Math.PI);for(var g=d>0?l+s:l+s+1,v=a,y=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((g+=d)<l||g>=c)return null;if(y=v,w.push(v),void 0===(v=h[g])){var T=new t.Point(u.getx(g),u.gety(g)),k=te(T,f);if(k.signedDistanceFromCamera>0)v=h[g]=k.point;else{var A=g-d;v=se(0===x?o:new t.Point(u.getx(A),u.gety(A)),T,y,_-x+1,f)}}x+=b,b=y.dist(v)}var M=(_-x)/b,S=v.sub(y),E=S.mult(M)._add(y);E._add(S._unit()._perp()._mult(n*d));var L=m+Math.atan2(v.y-y.y,v.x-y.x);return w.push(E),{point:E,angle:L,path:w}}Kt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Kt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Kt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Kt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Kt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Kt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var c=this.circles[3*l],u=this.circles[3*l+1],f=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:c-f,y1:u-f,x2:c+f,y2:u+f})}return a?o.filter(a):o}var h={hitTest:i,seenUids:{box:{},circle:{}}};return this._forEachCell(t,e,r,n,this._queryCell,o,h,a),i?o.length>0:o},Kt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var c=[],u={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,c,u,i),n?c.length>0:c},Kt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Kt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Kt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Kt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,c=this.boxCells[i];if(null!==c)for(var u=this.bboxes,f=0,h=c;f<h.length;f+=1){var p=h[f];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=u[d+2]&&e<=u[d+3]&&r>=u[d+0]&&n>=u[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:u[d],y1:u[d+1],x2:u[d+2],y2:u[d+3]})}}}var m=this.circleCells[i];if(null!==m)for(var g=this.circles,v=0,y=m;v<y.length;v+=1){var x=y[v];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(g[b],g[b+1],g[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return a.push(!0),!0;var _=g[b],w=g[b+1],T=g[b+2];a.push({key:this.circleKeys[x],x1:_-T,y1:w-T,x2:_+T,y2:w+T})}}}},Kt.prototype._queryCellCircle=function(t,e,r,n,i,a,o,s){var l=o.circle,c=o.seenUids,u=this.boxCells[i];if(null!==u)for(var f=this.bboxes,h=0,p=u;h<p.length;h+=1){var d=p[h];if(!c.box[d]){c.box[d]=!0;var m=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,f[m+0],f[m+1],f[m+2],f[m+3])&&(!s||s(this.boxKeys[d])))return a.push(!0),!0}}var g=this.circleCells[i];if(null!==g)for(var v=this.circles,y=0,x=g;y<x.length;y+=1){var b=x[y];if(!c.circle[b]){c.circle[b]=!0;var _=3*b;if(this._circlesCollide(v[_],v[_+1],v[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return a.push(!0),!0}}},Kt.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToXCellCoord(t),c=this._convertToYCellCoord(e),u=this._convertToXCellCoord(r),f=this._convertToYCellCoord(n),h=l;h<=u;h++)for(var p=c;p<=f;p++){var d=this.xCellCount*p+h;if(i.call(this,t,e,r,n,d,a,o,s))return}},Kt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Kt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Kt.prototype._circlesCollide=function(t,e,r,n,i,a){var o=n-t,s=i-e,l=r+a;return l*l>o*o+s*s},Kt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var c=(o-i)/2,u=Math.abs(e-(i+c));if(u>c+r)return!1;if(l<=s||u<=c)return!0;var f=l-s,h=u-c;return f*f+h*h<=r*r};var ce=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function ue(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(ce,3*n)}}function fe(t,e,r){var n=e[0],i=e[1];return t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t[3]=r[3]*n+r[7]*i+r[15],t}var he=function(t,e,r){void 0===e&&(e=new Kt(t.width+200,t.height+200,25)),void 0===r&&(r=new Kt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+100,this.screenBottomBoundary=t.height+100,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function pe(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}he.prototype.placeCollisionBox=function(t,e,r,n,i){var a=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*a.perspectiveRatio,s=t.x1*o+a.point.x,l=t.y1*o+a.point.y,c=t.x2*o+a.point.x,u=t.y2*o+a.point.y;return!this.isInsideGrid(s,l,c,u)||!e&&this.grid.hitTest(s,l,c,u,i)?{box:[],offscreen:!1}:{box:[s,l,c,u],offscreen:this.isOffscreen(s,l,c,u)}},he.prototype.placeCollisionCircles=function(e,r,n,i,a,o,s,l,c,u,f,h,p){var d=[],m=new t.Point(r.anchorX,r.anchorY),g=te(m,o),v=ee(this.transform.cameraToCenterDistance,g.signedDistanceFromCamera),y=(u?a/v:a*v)/t.ONE_EM,x=te(m,s).point,b=ie(y,i,r.lineOffsetX*y,r.lineOffsetY*y,!1,x,m,r,n,s,{}),_=!1,w=!1,T=!0;if(b){for(var k=.5*h*v+p,A=new t.Point(-100,-100),M=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new Jt,E=b.first,L=b.last,C=[],P=E.path.length-1;P>=1;P--)C.push(E.path[P]);for(var I=1;I<L.path.length;I++)C.push(L.path[I]);var O=2.5*k;if(l){var z=C.map((function(t){return te(t,l)}));C=z.some((function(t){return t.signedDistanceFromCamera<=0}))?[]:z.map((function(t){return t.point}))}var D=[];if(C.length>0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B<C.length;B++)R.x=Math.min(R.x,C[B].x),R.y=Math.min(R.y,C[B].y),F.x=Math.max(F.x,C[B].x),F.y=Math.max(F.y,C[B].y);D=R.x>=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[C]:F.x<A.x||R.x>M.x||F.y<A.y||R.y>M.y?[]:t.clipLine([C],A.x,A.y,M.x,M.y)}for(var N=0,j=D;N<j.length;N+=1){var U=j[N];S.reset(U,.25*k);var V=0;V=S.length<=.5*k?1:Math.ceil(S.paddedLength/O)+1;for(var H=0;H<V;H++){var q=H/Math.max(V-1,1),G=S.lerp(q),Y=G.x+100,W=G.y+100;d.push(Y,W,k,0);var X=Y-k,Z=W-k,J=Y+k,K=W+k;if(T=T&&this.isOffscreen(X,Z,J,K),w=w||this.isInsideGrid(X,Z,J,K),!e&&this.grid.hitTestCircle(Y,W,k,f)&&(_=!0,!c))return{circles:[],offscreen:!1,collisionDetected:_}}}}return{circles:!c&&_||!w?[]:d,offscreen:T,collisionDetected:_}},he.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,i=1/0,a=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var c=l[s],u=new t.Point(c.x+100,c.y+100);n=Math.min(n,u.x),i=Math.min(i,u.y),a=Math.max(a,u.x),o=Math.max(o,u.y),r.push(u)}for(var f={},h={},p=0,d=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o));p<d.length;p+=1){var m=d[p],g=m.key;if(void 0===f[g.bucketInstanceId]&&(f[g.bucketInstanceId]={}),!f[g.bucketInstanceId][g.featureIndex]){var v=[new t.Point(m.x1,m.y1),new t.Point(m.x2,m.y1),new t.Point(m.x2,m.y2),new t.Point(m.x1,m.y2)];t.polygonIntersectsPolygon(r,v)&&(f[g.bucketInstanceId][g.featureIndex]=!0,void 0===h[g.bucketInstanceId]&&(h[g.bucketInstanceId]=[]),h[g.bucketInstanceId].push(g.featureIndex))}}return h},he.prototype.insertCollisionBox=function(t,e,r,n,i){var a={bucketInstanceId:r,featureIndex:n,collisionGroupID:i};(e?this.ignoredGrid:this.grid).insert(a,t[0],t[1],t[2],t[3])},he.prototype.insertCollisionCircles=function(t,e,r,n,i){for(var a=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:i},s=0;s<t.length;s+=4)a.insertCircle(o,t[s],t[s+1],t[s+2])},he.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var i=[r,n,0,1];return fe(i,i,e),{point:new t.Point((i[0]/i[3]+1)/2*this.transform.width+100,(-i[1]/i[3]+1)/2*this.transform.height+100),perspectiveRatio:.5+this.transform.cameraToCenterDistance/i[3]*.5}},he.prototype.isOffscreen=function(t,e,r,n){return r<100||t>=this.screenRightBoundary||n<100||e>this.screenBottomBoundary},he.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},he.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var de=function(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r};de.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var me=function(t,e,r,n,i){this.text=new de(t?t.text:null,e,r,i),this.icon=new de(t?t.icon:null,e,n,i)};me.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var ge=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},ve=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},ye=function(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i},xe=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function be(e,r,n,i,a){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,i);return new t.Point(s+c[0]*a,l+c[1]*a)}function _e(e,r,n,i,a,o){var s=e.x1,l=e.x2,c=e.y1,u=e.y2,f=e.anchorPointX,h=e.anchorPointY,p=new t.Point(r,n);return i&&p._rotate(a?o:-o),{x1:s+p.x,y1:c+p.y,x2:l+p.x,y2:u+p.y,anchorPointX:f,anchorPointY:h}}xe.prototype.get=function(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){var e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:function(t){return t.collisionGroupID===e}}}return this.collisionGroups[t]};var we=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new he(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new xe(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function Te(t,e,r,n,i){t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0)}we.prototype.getBucketParts=function(e,r,n,i){var a=n.getBucket(r),o=n.latestFeatureIndex;if(a&&o&&r.id===a.layerIds[0]){var s=n.collisionBoxArray,l=a.layers[0].layout,c=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),u=n.tileSize/t.EXTENT,f=this.transform.calculatePosMatrix(n.tileID.toUnwrapped()),h="map"===l.get("text-pitch-alignment"),p="map"===l.get("text-rotation-alignment"),d=pe(n,1,this.transform.zoom),m=Qt(f,h,p,this.transform,d),g=null;if(h){var v=$t(f,h,p,this.transform,d);g=t.multiply([],this.transform.labelPlaneMatrix,v)}this.retainedQueryData[a.bucketInstanceId]=new ye(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);var y={bucket:a,layout:l,posMatrix:f,textLabelPlaneMatrix:m,labelToScreenMatrix:g,scale:c,textPixelRatio:u,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(var x=0,b=a.sortKeyRanges;x<b.length;x+=1){var _=b[x],w=_.sortKey,T=_.symbolInstanceStart,k=_.symbolInstanceEnd;e.push({sortKey:w,symbolInstanceStart:T,symbolInstanceEnd:k,parameters:y})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:y})}},we.prototype.attemptAnchorPlacement=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d){var m,g=[f.textOffset0,f.textOffset1],v=be(t,r,n,g,i),y=this.collisionIndex.placeCollisionBox(_e(e,v.x,v.y,a,o,this.transform.angle),u,s,l,c.predicate);if(d&&0===this.collisionIndex.placeCollisionBox(_e(d,v.x,v.y,a,o,this.transform.angle),u,s,l,c.predicate).box.length)return;if(y.box.length>0)return this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(m=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:g,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:m},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:v,placedGlyphBoxes:y}},we.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,c=a.textLabelPlaneMatrix,u=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,m=a.collisionGroup,g=s.get("text-optional"),v=s.get("icon-optional"),y=s.get("text-allow-overlap"),x=s.get("icon-allow-overlap"),b="map"===s.get("text-rotation-alignment"),_="map"===s.get("text-pitch-alignment"),w="none"!==s.get("icon-text-fit"),T="viewport-y"===s.get("symbol-z-order"),k=y&&(x||!o.hasIconData()||v),A=x&&(y||!o.hasTextData()||g);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new ge(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,L={box:null,offscreen:null},C={box:null,offscreen:null},P=null,I=null,O=0,z=0,D=0;a.textFeatureIndex?O=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(O=e.featureIndex),a.verticalTextFeatureIndex&&(z=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i<s.length;i+=1){if(s[i]===t.WritingMode.vertical?(L=n(),C=L):L=r(),L&&L.box&&L.box.length)break}else L=r()};if(s.get("text-variable-anchor")){var N=s.get("text-variable-anchor");if(i.prevPlacement&&i.prevPlacement.variableOffsets[e.crossTileID]){var j=i.prevPlacement.variableOffsets[e.crossTileID];N.indexOf(j.anchor)>0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,c=e.textBoxScale,u=w&&!x?r:null,h={box:[],offscreen:!1},p=y?2*N.length:N.length,d=0;d<p;++d){var g=N[d%N.length],v=d>=N.length,k=i.attemptAnchorPlacement(g,t,a,s,c,b,_,f,l,m,v,e,o,n,u);if(k&&(h=k.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=k.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var H=i.prevPlacement.variableOffsets[e.crossTileID];H&&(i.variableOffsets[e.crossTileID]=H,i.markUsedJustification(o,H.anchor,e,V))}}else{var q=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,y,f,l,m.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return q(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?q(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),Y=t.evaluateSizeForFeature(o.textSizeData,d,G),W=s.get("text-padding"),X=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(y,G,o.lineVertexArray,o.glyphOffsetArray,Y,l,c,u,n,_,m.predicate,X,W),T=y||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(D=a.iconFeatureIndex),a.iconBox){var Z=function(t){var e=w&&E?_e(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,m.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(I=Z(a.verticalIconBox)).box.length>0:(I=Z(a.iconBox)).box.length>0,S=S&&I.offscreen}var J=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,K=v||0===e.numIconVertices;if(J||K?K?J||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(C&&C.box&&z?i.collisionIndex.insertCollisionBox(p.box,s.get("text-ignore-placement"),o.bucketInstanceId,z,m.ID):i.collisionIndex.insertCollisionBox(p.box,s.get("text-ignore-placement"),o.bucketInstanceId,O,m.ID)),M&&I&&i.collisionIndex.insertCollisionBox(I.box,s.get("icon-ignore-placement"),o.bucketInstanceId,D,m.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get("text-ignore-placement"),o.bucketInstanceId,O,m.ID),n)){var Q=o.bucketInstanceId,$=i.collisionCircleArrays[Q];void 0===$&&($=i.collisionCircleArrays[Q]=new ve);for(var tt=0;tt<P.circles.length;tt+=4)$.circles.push(P.circles[tt+0]),$.circles.push(P.circles[tt+1]),$.circles.push(P.circles[tt+2]),$.circles.push(P.collisionDetected?1:0)}i.placements[e.crossTileID]=new ge(T||k,M||A,S||o.justReloaded),r[e.crossTileID]=!0}};if(T)for(var S=o.getSortedSymbolIndexes(this.transform.angle),E=S.length-1;E>=0;--E){var L=S[E];M(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C<e.symbolInstanceEnd;C++)M(o.symbolInstances.get(C),o.collisionArrays[C]);if(n&&o.bucketInstanceId in this.collisionCircleArrays){var P=this.collisionCircleArrays[o.bucketInstanceId];t.invert(P.invProjMatrix,l),P.viewportMatrix=this.collisionIndex.getViewportMatrix()}o.justReloaded=!1},we.prototype.markUsedJustification=function(e,r,n,i){var a,o={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};a=i===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:o[t.getAnchorJustification(r)];for(var s=0,l=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];s<l.length;s+=1){var c=l[s];c>=0&&(e.text.placedSymbolArray.get(c).crossTileID=a>=0&&c!==a?0:n.crossTileID)}},we.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1){var l=s[o];e.text.placedSymbolArray.get(l).placedOrientation=i}n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=a)},we.prototype.commit=function(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;var e=this.prevPlacement,r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;var n=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],c=i[s];c?(this.opacities[s]=new me(c,n,l.text,l.icon),r=r||l.text!==c.text.placed||l.icon!==c.icon.placed):(this.opacities[s]=new me(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var u in i){var f=i[u];if(!this.opacities[u]){var h=new me(f,n,!1,!1);h.isHidden()||(this.opacities[u]=h,r=r||f.text.placed||f.icon.placed)}}for(var p in a)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=a[p]);for(var d in o)this.placedOrientations[d]||!this.opacities[d]||this.opacities[d].isHidden()||(this.placedOrientations[d]=o[d]);r?this.lastPlacementChangeTime=t:"number"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)},we.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){var a=i[n],o=a.getBucket(t);o&&a.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,a.collisionBoxArray)}},we.prototype.updateBucketOpacities=function(e,r,n){var i=this;e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexArray.clear(),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexArray.clear();var a=e.layers[0].layout,o=new me(null,0,!1,!1,!0),s=a.get("text-allow-overlap"),l=a.get("icon-allow-overlap"),c=a.get("text-variable-anchor"),u="map"===a.get("text-rotation-alignment"),f="map"===a.get("text-pitch-alignment"),h="none"!==a.get("icon-text-fit"),p=new me(null,0,s&&(l||!e.hasIconData()||a.get("icon-optional")),l&&(s||!e.hasTextData()||a.get("text-optional")),!0);!e.collisionArrays&&n&&(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData())&&e.deserializeCollisionBoxes(n);for(var d=function(t,e,r){for(var n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r)},m=function(n){var a=e.symbolInstances.get(n),s=a.numHorizontalGlyphVertices,l=a.numVerticalGlyphVertices,m=a.crossTileID,g=r[m],v=i.opacities[m];g?v=o:v||(v=p,i.opacities[m]=v),r[m]=!0;var y=s>0||l>0,x=a.numIconVertices>0,b=i.placedOrientations[a.crossTileID],_=b===t.WritingMode.vertical,w=b===t.WritingMode.horizontal||b===t.WritingMode.horizontalOnly;if(y){var T=Pe(v.text),k=_?Ie:T;d(e.text,s,k);var A=w?Ie:T;d(e.text,l,A);var M=v.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||_?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=M||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,b);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,"left",a,E),i.markUsedOrientation(e,E,a))}if(x){var L=Pe(v.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:Ie;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=v.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var I=C?Ie:L;d(e.icon,a.numVerticalIconVertices,I),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=v.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var O=e.collisionArrays[n];if(O){var z=new t.Point(0,0);if(O.textBox||O.verticalTextBox){var D=!0;if(c){var R=i.variableOffsets[m];R?(z=be(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),u&&z._rotate(f?i.transform.angle:-i.transform.angle)):D=!1}O.textBox&&Te(e.textCollisionBox.collisionVertexArray,v.text.placed,!D||_,z.x,z.y),O.verticalTextBox&&Te(e.textCollisionBox.collisionVertexArray,v.text.placed,!D||w,z.x,z.y)}var F=Boolean(!w&&O.verticalIconBox);O.iconBox&&Te(e.iconCollisionBox.collisionVertexArray,v.icon.placed,F,h?z.x:0,h?z.y:0),O.verticalIconBox&&Te(e.iconCollisionBox.collisionVertexArray,v.icon.placed,!F,h?z.x:0,h?z.y:0)}}},g=0;g<e.symbolInstances.length;g++)m(g);if(e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexBuffer&&e.iconCollisionBox.collisionVertexBuffer.updateData(e.iconCollisionBox.collisionVertexArray),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexBuffer&&e.textCollisionBox.collisionVertexBuffer.updateData(e.textCollisionBox.collisionVertexArray),e.bucketInstanceId in this.collisionCircleArrays){var v=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=v.invProjMatrix,e.placementViewportMatrix=v.viewportMatrix,e.collisionCircleArray=v.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},we.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},we.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},we.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},we.prototype.stillRecent=function(t,e){var r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t},we.prototype.setStale=function(){this.stale=!0};var ke=Math.pow(2,25),Ae=Math.pow(2,24),Me=Math.pow(2,17),Se=Math.pow(2,16),Ee=Math.pow(2,9),Le=Math.pow(2,8),Ce=Math.pow(2,1);function Pe(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*ke+e*Ae+r*Me+e*Se+r*Ee+e*Le+r*Ce+e}var Ie=0,Oe=function(t){this._sortAcrossTiles="viewport-y"!==t.layout.get("symbol-z-order")&&void 0!==t.layout.get("symbol-sort-key").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Oe.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex<t.length;){var o=t[this._currentTileIndex];if(e.getBucketParts(a,n,o,this._sortAcrossTiles),this._currentTileIndex++,i())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,a.sort((function(t,e){return t.sortKey-e.sortKey})));this._currentPartIndex<a.length;){var s=a[this._currentPartIndex];if(e.placeLayerBucketPart(s,this._seenCrossTileIDs,r),this._currentPartIndex++,i())return!0}return!1};var ze=function(t,e,r,n,i,a,o){this.placement=new we(t,i,a,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};ze.prototype.isDone=function(){return this._done},ze.prototype.continuePlacement=function(e,r,n){for(var i=this,a=t.browser.now(),o=function(){var e=t.browser.now()-a;return!i._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if("symbol"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Oe(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},ze.prototype.commit=function(t){return this.placement.commit(t),this.placement};var De=512/t.EXTENT/2,Re=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var i=e.get(n),a=i.key;this.indexedSymbolInstances[a]||(this.indexedSymbolInstances[a]=[]),this.indexedSymbolInstances[a].push({crossTileID:i.crossTileID,coord:this.getScaledCoordinates(i,t)})}};Re.prototype.getScaledCoordinates=function(e,r){var n=r.canonical.z-this.tileID.canonical.z,i=De/Math.pow(2,n);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*i),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*i)}},Re.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),i=0;i<t.length;i++){var a=t.get(i);if(!a.crossTileID){var o=this.indexedSymbolInstances[a.key];if(o)for(var s=this.getScaledCoordinates(a,e),l=0,c=o;l<c.length;l+=1){var u=c[l];if(Math.abs(u.coord.x-s.x)<=n&&Math.abs(u.coord.y-s.y)<=n&&!r[u.crossTileID]){r[u.crossTileID]=!0,a.crossTileID=u.crossTileID;break}}}}};var Fe=function(){this.maxCrossTileID=0};Fe.prototype.generate=function(){return++this.maxCrossTileID};var Be=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Be.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],i={};for(var a in n){var o=n[a];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),i[o.tileID.key]=o}this.indexes[r]=i}this.lng=t},Be.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++){e.symbolInstances.get(n).crossTileID=0}this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var i=this.usedCrossTileIDs[t.overscaledZ];for(var a in this.indexes){var o=this.indexes[a];if(Number(a)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var c=o[t.scaledTo(Number(a)).key];c&&c.findMatches(e.symbolInstances,t,i)}}for(var u=0;u<e.symbolInstances.length;u++){var f=e.symbolInstances.get(u);f.crossTileID||(f.crossTileID=r.generate(),i[f.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new Re(t,e.symbolInstances,e.bucketInstanceId),!0},Be.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,i=e.indexedSymbolInstances[r];n<i.length;n+=1){var a=i[n];delete this.usedCrossTileIDs[t][a.crossTileID]}},Be.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var i in n)t[n[i].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[i]),delete n[i],e=!0)}return e};var Ne=function(){this.layerIndexes={},this.crossTileIDs=new Fe,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Ne.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Be);var i=!1,a={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],c=l.getBucket(t);c&&t.id===c.layerIds[0]&&(c.bucketInstanceId||(c.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,c,this.crossTileIDs)&&(i=!0),a[c.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i},Ne.prototype.pruneUnusedLayers=function(t){var e={};for(var r in t.forEach((function(t){e[t]=!0})),this.layerIndexes)e[r]||delete this.layerIndexes[r]};var je=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return"source.canvas"!==t.identifier})))},Ue=t.pick(Ut,["addLayer","removeLayer","setPaintProperty","setLayoutProperty","setFilter","addSource","removeSource","setLayerZoomRange","setLight","setTransition","setGeoJSONSourceData"]),Ve=t.pick(Ut,["setCenter","setZoom","setBearing","setPitch"]),He=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var i=t.styleSpec.$root[n];if(i.required){var a=null;null!=(a="version"===n?r:"array"===i.type?[]:{})&&(e[n]=a)}}return e}(),qe=function(e){function r(n,i){var a=this;void 0===i&&(i={}),e.call(this),this.map=n,this.dispatcher=new k(Bt(),this),this.imageManager=new h,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,i.localIdeographFontFamily),this.lineAtlas=new T(256,512),this.crossTileSymbolIndex=new Ne,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast("setReferrer",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginStateChange((function(e){var r={pluginStatus:e.pluginStatus,pluginURL:e.pluginURL};o.dispatcher.broadcast("syncRTLPluginState",r,(function(e,r){if((t.triggerPluginCompletionEvent(e),r)&&r.every((function(t){return t})))for(var n in o.sourceCaches)o.sourceCaches[n].reload()}))})),this.on("data",(function(t){if("source"===t.dataType&&"metadata"===t.sourceDataType){var e=a.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in a._layers){var i=a._layers[n];i.source===r.id&&a._validateLayer(i)}}}}))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event("dataloading",{dataType:"style"}));var i="boolean"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var a=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(a,(function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,i)}))},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event("dataloading",{dataType:"style"})),this._request=t.browser.frame((function(){n._request=null,n._load(e,!1!==r.validate)}))},r.prototype.loadEmpty=function(){this.fire(new t.Event("dataloading",{dataType:"style"})),this._load(He,!1)},r.prototype._load=function(e,r){if(!r||!je(this,t.validateStyle(e))){for(var n in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(n,e.sources[n],{validate:!1});e.sprite?this._loadSprite(e.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var i=jt(this.stylesheet.layers);this._order=i.map((function(t){return t.id})),this._layers={},this._serializedLayers={};for(var a=0,o=i;a<o.length;a+=1){var s=o[a];(s=t.createStyleLayer(s)).setEventedParent(this,{layer:{id:s.id}}),this._layers[s.id]=s,this._serializedLayers[s.id]=s.serialize()}this.dispatcher.broadcast("setLayers",this._serializeLayers(this._order)),this.light=new w(this.stylesheet.light),this.fire(new t.Event("data",{dataType:"style"})),this.fire(new t.Event("style.load"))}},r.prototype._loadSprite=function(e){var r=this;this._spriteRequest=function(e,r,n){var i,a,o,s=t.browser.devicePixelRatio>1?"@2x":"",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,".json"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,u())})),c=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,".png"),t.ResourceType.SpriteImage),(function(t,e){c=null,o||(o=t,a=e,u())}));function u(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],c=l.width,u=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,m=l.stretchX,g=l.stretchY,v=l.content,y=new t.RGBAImage({width:c,height:u});t.RGBAImage.copy(e,y,{x:f,y:h},{x:0,y:0},{width:c,height:u}),r[s]={data:y,pixelRatio:d,sdf:p,stretchX:m,stretchY:g,content:v}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),c&&(c.cancel(),c=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast("setImages",r._availableImages),r.fire(new t.Event("data",{dataType:"style"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();("geojson"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer "'+n+'" does not exist on source "'+i.id+'" as specified by style layer "'+e.id+'"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=this._layers[i];"custom"!==a.type&&e.push(a.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error("Style is not done loading")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),i=Object.keys(this._removedLayers);for(var a in(n.length||i.length)&&this._updateWorkerLayers(n,i),this._updatedSources){var o=this._updatedSources[a];"reload"===o?this._reloadSource(a):"clear"===o&&this._clearSource(a)}for(var s in this._updateTilesForChangedImages(),this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}for(var l in this.sourceCaches)this.sourceCaches[l].used=!1;for(var c=0,u=this._order;c<u.length;c+=1){var f=u[c],h=this._layers[f];h.recalculate(e,this._availableImages),!h.isHidden(e.zoom)&&h.source&&(this.sourceCaches[h.source].used=!0)}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event("data",{dataType:"style"}))}},r.prototype._updateTilesForChangedImages=function(){var t=Object.keys(this._changedImages);if(t.length){for(var e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies(["icons","patterns"],t);this._changedImages={}}},r.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast("updateLayers",{layers:this._serializeLayers(t),removedIds:e})},r.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),je(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=jt(e.layers);var n=Zt(this.serialize(),e).filter((function(t){return!(t.command in Ve)}));if(0===n.length)return!1;var i=n.filter((function(t){return!(t.command in Ue)}));if(i.length>0)throw new Error("Unimplemented: "+i.map((function(t){return t.command})).join(", ")+".");return n.forEach((function(t){"setTransition"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error("An image with this name already exists.")));this.imageManager.addImage(e,r),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event("data",{dataType:"style"}))},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error("No image with this name exists.")));this.imageManager.removeImage(e),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event("data",{dataType:"style"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error("There is already a source with this ID");if(!r.type)throw new Error("The type property must be defined, but the only the following properties were given: "+Object.keys(r).join(", ")+".");if(!(["vector","raster","geojson","video","image"].indexOf(r.type)>=0)||!this._validate(t.validateStyle.source,"sources."+e,r,null,n)){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Ct(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error("There is no source with this ID");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source "'+e+'" cannot be removed while layer "'+r+'" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event("data",{sourceDataType:"metadata",dataType:"source",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id "'+i+'" already exists on this map')));else{var a;if("custom"===e.type){if(je(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if("object"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,"layers."+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id "'+r+'" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&"custom"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]="clear":(this._updatedSources[a.source]="reload",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id "'+r+'" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be moved.")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be removed.")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot have zoom extent.")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,"layers."+i.id+".filter",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be filtered.")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be styled.")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style.")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be styled.")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;"geojson"===o&&i?this.fire(new t.ErrorEvent(new Error("GeoJSON sources cannot have a sourceLayer parameter."))):"vector"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error("The feature id parameter must be provided."))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+n+"' does not exist in the map's style.")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o="vector"===a?e.sourceLayer:void 0;"vector"!==a||o?r&&"string"!=typeof e.id&&"number"!=typeof e.id?this.fire(new t.ErrorEvent(new Error("A feature id is requred to remove its specific state property."))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+n+"' does not exist in the map's style.")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if("vector"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error("The feature id parameter must be provided."))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+r+"' does not exist in the map's style.")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&"raster"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]="reload",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return"fill-extrusion"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s<l.length;s+=1){var c=l[s][o];if(c)for(var u=0,f=c;u<f.length;u+=1){var h=f[u];i.push(h)}}}}i.sort((function(t,e){return e.intersectionZ-t.intersectionZ}));for(var p=[],d=this._order.length-1;d>=0;d--){var m=this._order[d];if(r(m))for(var g=i.length-1;g>=0;g--){var v=i[g].feature;if(n[v.layer.id]<d)break;p.push(v),i.pop()}else for(var y=0,x=t;y<x.length;y+=1){var b=x[y][m];if(b)for(var _=0,w=b;_<w.length;_+=1){var T=w[_];p.push(T.feature)}}}return p},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,"queryRenderedFeatures.filter",r.filter,null,r);var i={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new t.ErrorEvent(new Error("parameters.layers must be an Array."))),[];for(var a=0,o=r.layers;a<o.length;a+=1){var s=o[a],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error("The layer '"+s+"' does not exist in the map's style and cannot be queried for features."))),[];i[l.source]=!0}}var c=[];for(var u in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!i[u]||c.push(F(this.sourceCaches[u],this._layers,this._serializedLayers,e,r,n));return this.placement&&c.push(function(t,e,r,n,i,a,o){for(var s={},l=a.queryRenderedSymbols(n),c=[],u=0,f=Object.keys(l).map(Number);u<f.length;u+=1){var h=f[u];c.push(o[h])}c.sort(B);for(var p=function(){var r=m[d],n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,i.filter,i.layers,i.availableImages,t);for(var a in n){var o=s[a]=s[a]||[],c=n[a];c.sort((function(t,e){var n=r.featureSortOrder;if(n){var i=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-i}return e.featureIndex-t.featureIndex}));for(var u=0,f=c;u<f.length;u+=1){var h=f[u];o.push(h)}}},d=0,m=c;d<m.length;d+=1)p();var g=function(e){s[e].forEach((function(n){var i=n.feature,a=t[e],o=r[a.source].getFeatureState(i.layer["source-layer"],i.id);i.source=i.layer.source,i.layer["source-layer"]&&(i.sourceLayer=i.layer["source-layer"]),i.state=o}))};for(var v in s)g(v);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(c)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,"querySourceFeatures.filter",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map((function(e){return t.getTileByID(e)})),n=[],i={},a=0;a<r.length;a++){var o=r[a],s=o.tileID.canonical.key;i[s]||(i[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called "'+t+'" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast("loadWorkerSource",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),i=!1;for(var a in e)if(!t.deepEqual(e[a],n[a])){i=!0;break}if(i){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,i,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&je(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},i)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off("pluginStateChange",this._rtlTextPluginCallback),this._layers){this._layers[e].setEventedParent(null)}for(var r in this.sourceCaches)this.sourceCaches[r].clearTiles(),this.sourceCaches[r].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,i,a){void 0===a&&(a=!1);for(var o=!1,s=!1,l={},c=0,u=this._order;c<u.length;c+=1){var f=u[c],h=this._layers[f];if("symbol"===h.type){if(!l[h.source]){var p=this.sourceCaches[h.source];l[h.source]=p.getRenderableIds(!0).map((function(t){return p.getTileByID(t)})).sort((function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)}))}var d=this.crossTileSymbolIndex.addLayer(h,l[h.source],e.center.lng);o=o||d}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((a=a||this._layerOrderChanged||0===n)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now(),e.zoom))&&(this.pauseablePlacement=new ze(e,this._order,a,r,n,i,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(var m=0,g=this._order;m<g.length;m+=1){var v=g[m],y=this._layers[v];"symbol"===y.type&&this.placement.updateLayerOpacities(y,l[y.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(t.browser.now())},r.prototype._releaseSymbolFadeTiles=function(){for(var t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()},r.prototype.getImages=function(t,e,r){this.imageManager.getImages(e.icons,r),this._updateTilesForChangedImages();var n=this.sourceCaches[e.source];n&&n.setDependencies(e.tileID.key,e.type,e.icons)},r.prototype.getGlyphs=function(t,e,r){this.glyphManager.getGlyphs(e.stacks,r)},r.prototype.getResource=function(e,r,n){return t.makeRequest(r,n)},r}(t.Evented);qe.getSourceType=function(t){return D[t]},qe.setSourceType=function(t,e){D[t]=e},qe.registerForPluginStateChange=t.registerForPluginStateChange;var Ge=t.createLayout([{name:"a_pos",type:"Int16",components:2}]),Ye=yr("#ifdef GL_ES\nprecision mediump float;\n#else\n#if !defined(lowp)\n#define lowp\n#endif\n#if !defined(mediump)\n#define mediump\n#endif\n#if !defined(highp)\n#define highp\n#endif\n#endif","#ifdef GL_ES\nprecision highp float;\n#else\n#if !defined(lowp)\n#define lowp\n#endif\n#if !defined(mediump)\n#define mediump\n#endif\n#if !defined(highp)\n#define highp\n#endif\n#endif\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}"),We=yr("uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}"),Xe=yr("uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}"),Ze=yr("varying vec3 v_data;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define mediump float radius\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define highp vec4 stroke_color\n#pragma mapbox: define mediump float stroke_width\n#pragma mapbox: define lowp float stroke_opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize mediump float radius\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize highp vec4 stroke_color\n#pragma mapbox: initialize mediump float stroke_width\n#pragma mapbox: initialize lowp float stroke_opacity\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define mediump float radius\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define highp vec4 stroke_color\n#pragma mapbox: define mediump float stroke_width\n#pragma mapbox: define lowp float stroke_opacity\nvoid main(void) {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize mediump float radius\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize highp vec4 stroke_color\n#pragma mapbox: initialize mediump float stroke_width\n#pragma mapbox: initialize lowp float stroke_opacity\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}"),Je=yr("void main() {gl_FragColor=vec4(1.0);}","attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}"),Ke=yr("uniform highp float u_intensity;varying vec2 v_extrude;\n#pragma mapbox: define highp float weight\n#define GAUSS_COEF 0.3989422804014327\nvoid main() {\n#pragma mapbox: initialize highp float weight\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\n#pragma mapbox: define highp float weight\n#pragma mapbox: define mediump float radius\nconst highp float ZERO=1.0/255.0/16.0;\n#define GAUSS_COEF 0.3989422804014327\nvoid main(void) {\n#pragma mapbox: initialize highp float weight\n#pragma mapbox: initialize mediump float radius\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}"),Qe=yr("uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(0.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}"),$e=yr("varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}","attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}"),tr=yr("varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}","attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}"),er=yr("uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}","attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}"),rr=yr("#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float opacity\ngl_FragColor=color*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","attribute vec2 a_pos;uniform mat4 u_matrix;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float opacity\ngl_Position=u_matrix*vec4(a_pos,0,1);}"),nr=yr("varying vec2 v_pos;\n#pragma mapbox: define highp vec4 outline_color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 outline_color\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\n#pragma mapbox: define highp vec4 outline_color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 outline_color\n#pragma mapbox: initialize lowp float opacity\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}"),ir=yr("uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}"),ar=yr("uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}"),or=yr("varying vec4 v_color;void main() {gl_FragColor=v_color;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\n#pragma mapbox: define highp float base\n#pragma mapbox: define highp float height\n#pragma mapbox: define highp vec4 color\nvoid main() {\n#pragma mapbox: initialize highp float base\n#pragma mapbox: initialize highp float height\n#pragma mapbox: initialize highp vec4 color\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}"),sr=yr("uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n#pragma mapbox: define lowp float base\n#pragma mapbox: define lowp float height\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float base\n#pragma mapbox: initialize lowp float height\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n#pragma mapbox: define lowp float base\n#pragma mapbox: define lowp float height\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float base\n#pragma mapbox: initialize lowp float height\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\n? a_pos\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}"),lr=yr("#ifdef GL_ES\nprecision highp float;\n#endif\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform float u_maxzoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggeration=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/ pow(2.0,(u_zoom-u_maxzoom)*exaggeration+19.2562-u_zoom);gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}"),cr=yr("uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\n#define PI 3.141592653589793\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}"),ur=yr("uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}"),fr=yr("uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp float v_lineprogress;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,vec2(v_lineprogress,0.5));gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define MAX_LINE_DISTANCE 32767.0\n#define scale 0.015873016\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_lineprogress;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_lineprogress=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0/MAX_LINE_DISTANCE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}"),hr=yr("uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\n#define LINE_DISTANCE_SCALE 2.0\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}"),pr=yr("uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\n#define LINE_DISTANCE_SCALE 2.0\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}"),dr=yr("uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}"),mr=yr("uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}"),gr=yr("#define SDF_PX 8.0\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}"),vr=yr("#define SDF_PX 8.0\n#define SDF 1.0\n#define ICON 0.0\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}");function yr(t,e){var r=/#pragma mapbox: ([\w]+) ([\w]+) ([\w]+) ([\w]+)/g,n={};return{fragmentSource:t=t.replace(r,(function(t,e,r,i,a){return n[a]=!0,"define"===e?"\n#ifndef HAS_UNIFORM_u_"+a+"\nvarying "+r+" "+i+" "+a+";\n#else\nuniform "+r+" "+i+" u_"+a+";\n#endif\n":"\n#ifdef HAS_UNIFORM_u_"+a+"\n    "+r+" "+i+" "+a+" = u_"+a+";\n#endif\n"})),vertexSource:e=e.replace(r,(function(t,e,r,i,a){var o="float"===i?"vec2":"vec4",s=a.match(/color/)?"color":o;return n[a]?"define"===e?"\n#ifndef HAS_UNIFORM_u_"+a+"\nuniform lowp float u_"+a+"_t;\nattribute "+r+" "+o+" a_"+a+";\nvarying "+r+" "+i+" "+a+";\n#else\nuniform "+r+" "+i+" u_"+a+";\n#endif\n":"vec4"===s?"\n#ifndef HAS_UNIFORM_u_"+a+"\n    "+a+" = a_"+a+";\n#else\n    "+r+" "+i+" "+a+" = u_"+a+";\n#endif\n":"\n#ifndef HAS_UNIFORM_u_"+a+"\n    "+a+" = unpack_mix_"+s+"(a_"+a+", u_"+a+"_t);\n#else\n    "+r+" "+i+" "+a+" = u_"+a+";\n#endif\n":"define"===e?"\n#ifndef HAS_UNIFORM_u_"+a+"\nuniform lowp float u_"+a+"_t;\nattribute "+r+" "+o+" a_"+a+";\n#else\nuniform "+r+" "+i+" u_"+a+";\n#endif\n":"vec4"===s?"\n#ifndef HAS_UNIFORM_u_"+a+"\n    "+r+" "+i+" "+a+" = a_"+a+";\n#else\n    "+r+" "+i+" "+a+" = u_"+a+";\n#endif\n":"\n#ifndef HAS_UNIFORM_u_"+a+"\n    "+r+" "+i+" "+a+" = unpack_mix_"+s+"(a_"+a+", u_"+a+"_t);\n#else\n    "+r+" "+i+" "+a+" = u_"+a+";\n#endif\n"}))}}var xr=Object.freeze({__proto__:null,prelude:Ye,background:We,backgroundPattern:Xe,circle:Ze,clippingMask:Je,heatmap:Ke,heatmapTexture:Qe,collisionBox:$e,collisionCircle:tr,debug:er,fill:rr,fillOutline:nr,fillOutlinePattern:ir,fillPattern:ar,fillExtrusion:or,fillExtrusionPattern:sr,hillshadePrepare:lr,hillshade:cr,line:ur,lineGradient:fr,linePattern:hr,lineSDF:pr,raster:dr,symbolIcon:mr,symbolSDF:gr,symbolTextAndIcon:vr}),br=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};br.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,c=0;!l&&c<n.length;c++)this.boundPaintVertexBuffers[c]!==n[c]&&(l=!0);var u=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||l||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||u?this.freshBind(e,r,n,i,a,o,s):(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind())},br.prototype.freshBind=function(t,e,r,n,i,a,o){var s,l=t.numAttributes,c=this.context,u=c.gl;if(c.extVertexArrayObject)this.vao&&this.destroy(),this.vao=c.extVertexArrayObject.createVertexArrayOES(),c.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=i,this.boundDynamicVertexBuffer=a,this.boundDynamicVertexBuffer2=o;else{s=c.currentNumAttributes||0;for(var f=l;f<s;f++)u.disableVertexAttribArray(f)}e.enableAttributes(u,t);for(var h=0,p=r;h<p.length;h+=1){p[h].enableAttributes(u,t)}a&&a.enableAttributes(u,t),o&&o.enableAttributes(u,t),e.bind(),e.setVertexAttribPointers(u,t,i);for(var d=0,m=r;d<m.length;d+=1){var g=m[d];g.bind(),g.setVertexAttribPointers(u,t,i)}a&&(a.bind(),a.setVertexAttribPointers(u,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(u,t,i)),c.currentNumAttributes=l},br.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var _r=function(t,e,r,n,i){var a=t.gl;this.program=a.createProgram();var o=r?r.defines():[];i&&o.push("#define OVERDRAW_INSPECTOR;");var s=o.concat(Ye.fragmentSource,e.fragmentSource).join("\n"),l=o.concat(Ye.vertexSource,e.vertexSource).join("\n"),c=a.createShader(a.FRAGMENT_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(c,s),a.compileShader(c),a.attachShader(this.program,c);var u=a.createShader(a.VERTEX_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(u,l),a.compileShader(u),a.attachShader(this.program,u);for(var f=r?r.layoutAttributes:[],h=0;h<f.length;h++)a.bindAttribLocation(this.program,h,f[h].name);a.linkProgram(this.program),a.deleteShader(u),a.deleteShader(c),this.numAttributes=a.getProgramParameter(this.program,a.ACTIVE_ATTRIBUTES),this.attributes={};for(var p={},d=0;d<this.numAttributes;d++){var m=a.getActiveAttrib(this.program,d);m&&(this.attributes[m.name]=a.getAttribLocation(this.program,m.name))}for(var g=a.getProgramParameter(this.program,a.ACTIVE_UNIFORMS),v=0;v<g;v++){var y=a.getActiveUniform(this.program,v);y&&(p[y.name]=a.getUniformLocation(this.program,y.name))}this.fixedUniforms=n(t,p),this.binderUniforms=r?r.getUniforms(t,p):[]}}};function wr(t,e,r){var n=1/pe(r,1,e.transform.tileZoom),i=Math.pow(2,r.tileID.overscaledZ),a=r.tileSize*Math.pow(2,e.transform.tileZoom)/i,o=a*(r.tileID.canonical.x+r.tileID.wrap*i),s=a*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}_r.prototype.draw=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m){var g,v=t.gl;if(!this.failedToCreate){for(var y in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[y].set(o[y]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(g={},g[v.LINES]=2,g[v.TRIANGLES]=3,g[v.LINE_STRIP]=1,g)[e],b=0,_=u.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new br)).bind(t,this,l,p?p.getPaintVertexBuffers():[],c,w.vertexOffset,d,m),v.drawElements(e,w.primitiveLength*x,v.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Tr=function(e,r,n,i){var a=r.style.light,o=a.properties.get("position"),s=[o.x,o.y,o.z],l=t.create$1();"viewport"===a.properties.get("anchor")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var c=a.properties.get("color");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get("intensity"),u_lightcolor:[c.r,c.g,c.b],u_vertical_gradient:+n,u_opacity:i}},kr=function(e,r,n,i,a,o,s){return t.extend(Tr(e,r,n,i),wr(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Ar=function(t){return{u_matrix:t}},Mr=function(e,r,n,i){return t.extend(Ar(e),wr(n,r,i))},Sr=function(t,e){return{u_matrix:t,u_world:e}},Er=function(e,r,n,i,a){return t.extend(Mr(e,r,n,i),{u_world:a})},Lr=function(e,r,n,i){var a,o,s=e.transform;if("map"===i.paint.get("circle-pitch-alignment")){var l=pe(n,1,s.zoom);a=!0,o=[l,l]}else 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o=e.transform,s=e.lineAtlas,l=jr(r,o),c="round"===n.layout.get("line-cap"),u=s.getDash(i.from,c),f=s.getDash(i.to,c),h=u.width*a.fromScale,p=f.width*a.toScale;return t.extend(Rr(e,r,n),{u_patternscale_a:[l/h,-u.height/2],u_patternscale_b:[l/p,-f.height/2],u_sdfgamma:s.width/(256*Math.min(h,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:u.y,u_tex_y_b:f.y,u_mix:a.t})};function jr(t,e){return 1/pe(t,1,e.tileZoom)}function Ur(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get("line-translate"),r.paint.get("line-translate-anchor"))}var Vr=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get("raster-opacity"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get("raster-brightness-min"),u_brightness_high:i.paint.get("raster-brightness-max"),u_saturation_factor:(o=i.paint.get("raster-saturation"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get("raster-contrast"),a>0?1/(1-a):1+a),u_spin_weights:Hr(i.paint.get("raster-hue-rotate"))};var a,o};function Hr(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var qr,Gr=function(t,e,r,n,i,a,o,s,l,c){var u=i.transform;return{u_is_size_zoom_constant:+("constant"===t||"source"===t),u_is_size_feature_constant:+("constant"===t||"camera"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:u.cameraToCenterDistance,u_pitch:u.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:u.width/u.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:c,u_texture:0}},Yr=function(e,r,n,i,a,o,s,l,c,u,f){var h=a.transform;return t.extend(Gr(e,r,n,i,a,o,s,l,c,u),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},Wr=function(e,r,n,i,a,o,s,l,c,u){return t.extend(Yr(e,r,n,i,a,o,s,l,!0,c,!0),{u_texsize_icon:u,u_texture_icon:1})},Xr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},Zr=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,c=Math.pow(2,n.tileID.overscaledZ),u=n.tileSize*Math.pow(2,r.transform.tileZoom)/c,f=u*(n.tileID.canonical.x+n.tileID.wrap*c),h=u*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/pe(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},Jr={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_maxzoom:new t.Uniform1f(e,r.u_maxzoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function Kr(e,r,n,i,a,o,s){for(var l=e.context,c=l.gl,u=e.useProgram("collisionBox"),f=[],h=0,p=0,d=0;d<i.length;d++){var m=i[d],g=r.getTile(m),v=g.getBucket(n);if(v){var y=m.posMatrix;0===a[0]&&0===a[1]||(y=e.translatePosMatrix(m.posMatrix,g,a,o));var x=s?v.textCollisionBox:v.iconCollisionBox,b=v.collisionCircleArray;if(b.length>0){var _=t.create(),w=y;t.mul(_,v.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,v.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&u.draw(l,c.LINES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,Cr(y,e.transform,g),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram("collisionCircle"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var A=0,M=0,S=f;M<S.length;M+=1)for(var E=S[M],L=0;L<E.circleArray.length/4;L++){var C=4*L,P=E.circleArray[C+0],I=E.circleArray[C+1],O=E.circleArray[C+2],z=E.circleArray[C+3];k.emplace(A++,P,I,O,z,0),k.emplace(A++,P,I,O,z,1),k.emplace(A++,P,I,O,z,2),k.emplace(A++,P,I,O,z,3)}(!qr||qr.length<2*h)&&(qr=function(e){var r=2*e,n=new t.StructArrayLayout3ui6;n.resize(r),n._trim();for(var i=0;i<r;i++){var a=6*i;n.uint16[a+0]=4*i+0,n.uint16[a+1]=4*i+1,n.uint16[a+2]=4*i+2,n.uint16[a+3]=4*i+2,n.uint16[a+4]=4*i+3,n.uint16[a+5]=4*i+0}return n}(h));for(var D=l.createIndexBuffer(qr,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=f;F<B.length;F+=1){var N=B[F],j=Pr(N.transform,N.invTransform,e.transform);T.draw(l,c.TRIANGLES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,j,n.id,R,D,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),D.destroy()}}var Qr=t.identity(new Float32Array(16));function $r(e,r,n,i,a,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,c=-(s.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,i);return new t.Point((l/a+u[0])*o,(c/a+u[1])*o)}function tn(e,r,n,i,a,o,s,l,c,u,f){var h=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,m={};p.clear();for(var g=0;g<h.length;g++){var v=h.get(g),y=e.allowVerticalPlacement&&!v.placedOrientation,x=v.hidden||!v.crossTileID||y?null:i[v.crossTileID];if(x){var b=new t.Point(v.anchorX,v.anchorY),_=te(b,n?l:s),w=ee(o.cameraToCenterDistance,_.signedDistanceFromCamera),T=a.evaluateSizeForFeature(e.textSizeData,u,v)*w/t.ONE_EM;n&&(T*=e.tilePixelRatio/c);for(var k=x.width,A=x.height,M=$r(x.anchor,k,A,x.textOffset,x.textBoxScale,T),S=n?te(b.add(M),s).point:_.point.add(r?M.rotate(-o.angle):M),E=e.allowVerticalPlacement&&v.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,L=0;L<v.numGlyphs;L++)t.addDynamicAttributes(p,S,E);f&&v.associatedIconIndex>=0&&(m[v.associatedIconIndex]={shiftedAnchor:S,angle:E})}else ue(v.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P<C.length;P++){var I=C.get(P);if(I.hidden)ue(I.numGlyphs,d);else{var O=m[P];if(O)for(var z=0;z<I.numGlyphs;z++)t.addDynamicAttributes(d,O.shiftedAnchor,O.angle);else ue(I.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function en(t,e,r){return r.iconsInText&&e?"symbolTextAndIcon":t?"symbolSDF":"symbolIcon"}function rn(e,r,n,i,a,o,s,l,c,u,f,h){for(var p=e.context,d=p.gl,m=e.transform,g="map"===l,v="map"===c,y=g&&"point"!==n.layout.get("symbol-placement"),x=g&&!v&&!y,b=void 0!==n.layout.get("symbol-sort-key").constantOr(1),_=e.depthModeForSublayer(0,At.ReadOnly),w=n.layout.get("text-variable-anchor"),T=[],k=0,A=i;k<A.length;k+=1){var M=A[k],S=r.getTile(M),E=S.getBucket(n);if(E){var L=a?E.text:E.icon;if(L&&L.segments.get().length){var C=L.programConfigurations.get(n.id),P=a||E.sdfIcons,I=a?E.textSizeData:E.iconSizeData,O=v||0!==m.pitch,z=e.useProgram(en(P,a,E),C),D=t.evaluateSizeForZoom(I,m.zoom),R=void 0,F=[0,0],B=void 0,N=void 0,j=null,U=void 0;if(a){if(B=S.glyphAtlasTexture,N=d.LINEAR,R=S.glyphAtlasTexture.size,E.iconsInText){F=S.imageAtlasTexture.size,j=S.imageAtlasTexture;var 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rt=et[tt];T.push({segments:new t.SegmentVector([rt]),sortKey:rt.sortKey,state:$})}else T.push({segments:L.segments,sortKey:0,state:$})}}}b&&T.sort((function(t,e){return t.sortKey-e.sortKey}));for(var nt=0,it=T;nt<it.length;nt+=1){var at=it[nt],ot=at.state;if(p.activeTexture.set(d.TEXTURE0),ot.atlasTexture.bind(ot.atlasInterpolation,d.CLAMP_TO_EDGE),ot.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),ot.atlasTextureIcon&&ot.atlasTextureIcon.bind(ot.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),ot.isSDF){var st=ot.uniformValues;ot.hasHalo&&(st.u_is_halo=1,nn(ot.buffers,at.segments,n,e,ot.program,_,f,h,st)),st.u_is_halo=0}nn(ot.buffers,at.segments,n,e,ot.program,_,f,h,ot.uniformValues)}}function nn(t,e,r,n,i,a,o,s,l){var c=n.context,u=c.gl;i.draw(c,u.TRIANGLES,a,o,s,Et.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function an(t,e,r,n,i,a,o){var s,l,c,u,f,h=t.context.gl,p=r.paint.get("fill-pattern"),d=p&&p.constantOr(1),m=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty("fill-outline-color")?"fillOutlinePattern":"fillOutline",s=h.LINES):(l=d?"fillPattern":"fill",s=h.TRIANGLES);for(var g=0,v=n;g<v.length;g+=1){var y=v[g],x=e.getTile(y);if(!d||x.patternsLoaded()){var b=x.getBucket(r);if(b){var _=b.programConfigurations.get(r.id),w=t.useProgram(l,_);d&&(t.context.activeTexture.set(h.TEXTURE0),x.imageAtlasTexture.bind(h.LINEAR,h.CLAMP_TO_EDGE),_.updatePaintBuffers(m));var T=p.constantOr(null);if(T&&x.imageAtlas){var k=x.imageAtlas,A=k.patternPositions[T.to.toString()],M=k.patternPositions[T.from.toString()];A&&M&&_.setConstantPatternPositions(A,M)}var S=t.translatePosMatrix(y.posMatrix,x,r.paint.get("fill-translate"),r.paint.get("fill-translate-anchor"));if(o){u=b.indexBuffer2,f=b.segments2;var E=[h.drawingBufferWidth,h.drawingBufferHeight];c="fillOutlinePattern"===l&&d?Er(S,t,m,x,E):Sr(S,E)}else u=b.indexBuffer,f=b.segments,c=d?Mr(S,t,m,x):Ar(S);w.draw(t.context,s,i,t.stencilModeForClipping(y),a,Et.disabled,c,r.id,b.layoutVertexBuffer,u,f,r.paint,t.transform.zoom,_)}}}}function on(t,e,r,n,i,a,o){for(var s=t.context,l=s.gl,c=r.paint.get("fill-extrusion-pattern"),u=c.constantOr(1),f=r.getCrossfadeParameters(),h=r.paint.get("fill-extrusion-opacity"),p=0,d=n;p<d.length;p+=1){var m=d[p],g=e.getTile(m),v=g.getBucket(r);if(v){var y=v.programConfigurations.get(r.id),x=t.useProgram(u?"fillExtrusionPattern":"fillExtrusion",y);u&&(t.context.activeTexture.set(l.TEXTURE0),g.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),y.updatePaintBuffers(f));var b=c.constantOr(null);if(b&&g.imageAtlas){var _=g.imageAtlas,w=_.patternPositions[b.to.toString()],T=_.patternPositions[b.from.toString()];w&&T&&y.setConstantPatternPositions(w,T)}var k=t.translatePosMatrix(m.posMatrix,g,r.paint.get("fill-extrusion-translate"),r.paint.get("fill-extrusion-translate-anchor")),A=r.paint.get("fill-extrusion-vertical-gradient"),M=u?kr(k,t,A,h,m,f,g):Tr(k,t,A,h);x.draw(s,s.gl.TRIANGLES,i,a,o,Et.backCCW,M,r.id,v.layoutVertexBuffer,v.indexBuffer,v.segments,r.paint,t.transform.zoom,y)}}}function sn(t,e,r,n,i,a){var o=t.context,s=o.gl,l=e.fbo;if(l){var c=t.useProgram("hillshade");o.activeTexture.set(s.TEXTURE0),s.bindTexture(s.TEXTURE_2D,l.colorAttachment.get());var u=function(t,e,r){var n=r.paint.get("hillshade-shadow-color"),i=r.paint.get("hillshade-highlight-color"),a=r.paint.get("hillshade-accent-color"),o=r.paint.get("hillshade-illumination-direction")*(Math.PI/180);"viewport"===r.paint.get("hillshade-illumination-anchor")&&(o-=t.transform.angle);var s=!t.options.moving;return{u_matrix:t.transform.calculatePosMatrix(e.tileID.toUnwrapped(),s),u_image:0,u_latrange:Dr(t,e.tileID),u_light:[r.paint.get("hillshade-exaggeration"),o],u_shadow:n,u_highlight:i,u_accent:a}}(t,e,r);c.draw(o,s.TRIANGLES,n,i,a,Et.disabled,u,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}function ln(e,r,n,i,a,o,s){var l=e.context,c=l.gl,u=r.dem;if(u&&u.data){var f=u.dim,h=u.stride,p=u.getPixels();if(l.activeTexture.set(c.TEXTURE1),l.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(h),r.demTexture){var d=r.demTexture;d.update(p,{premultiply:!1}),d.bind(c.NEAREST,c.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(l,p,c.RGBA,{premultiply:!1}),r.demTexture.bind(c.NEAREST,c.CLAMP_TO_EDGE);l.activeTexture.set(c.TEXTURE0);var m=r.fbo;if(!m){var g=new t.Texture(l,{width:f,height:f,data:null},c.RGBA);g.bind(c.LINEAR,c.CLAMP_TO_EDGE),(m=r.fbo=l.createFramebuffer(f,f,!0)).colorAttachment.set(g.texture)}l.bindFramebuffer.set(m.framebuffer),l.viewport.set([0,0,f,f]),e.useProgram("hillshadePrepare").draw(l,c.TRIANGLES,a,o,s,Et.disabled,function(e,r,n){var i=r.stride,a=t.create();return t.ortho(a,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(a,a,[0,-t.EXTENT,0]),{u_matrix:a,u_image:1,u_dimension:[i,i],u_zoom:e.overscaledZ,u_maxzoom:n,u_unpack:r.getUnpackVector()}}(r.tileID,u,i),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function cn(e,r,n,i,a){var o=i.paint.get("raster-fade-duration");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,c=r?(s-r.timeAdded)/o:-1,u=n.getSource(),f=a.coveringZoomLevel({tileSize:u.tileSize,roundZoom:u.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-c,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var un=new t.Color(1,0,0,1),fn=new t.Color(0,1,0,1),hn=new t.Color(0,0,1,1),pn=new t.Color(1,0,1,1),dn=new t.Color(0,1,1,1);function mn(t){var e=t.transform.padding;gn(t,t.transform.height-(e.top||0),3,un),gn(t,e.bottom||0,3,fn),vn(t,e.left||0,3,hn),vn(t,t.transform.width-(e.right||0),3,pn);var r=t.transform.centerPoint;!function(t,e,r,n){yn(t,e-1,r-10,2,20,n),yn(t,e-10,r-1,20,2,n)}(t,r.x,t.transform.height-r.y,dn)}function gn(t,e,r,n){yn(t,0,e+r/2,t.transform.width,r,n)}function vn(t,e,r,n){yn(t,e-r/2,0,r,t.transform.height,n)}function yn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function xn(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram("debug"),l=At.disabled,c=Mt.disabled,u=e.colorModeForRenderPass();i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,c,u,Et.disabled,Ir(o,t.Color.red),"$debug",e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var f=r.getTileByID(n.key).latestRawTileData,h=f&&f.byteLength||0,p=Math.floor(h/1024),d=r.getTile(n).tileSize,m=512/Math.min(d,512)*(n.overscaledZ/e.transform.zoom)*.5,g=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(g+=" => "+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext("2d");i.clearRect(0,0,r.width,r.height),i.shadowColor="white",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle="white",i.textBaseline="top",i.font="bold 36px Open Sans, sans-serif",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,g+" 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_=Math.pow(2,l.zoom-d.tileID.overscaledZ);tn(m,c,u,s,t.symbolSize,l,x,p.posMatrix,_,v,b)}}}}(i,e,n,r,n.layout.get("text-rotation-alignment"),n.layout.get("text-pitch-alignment"),a),0!==n.paint.get("icon-opacity").constantOr(1)&&rn(e,r,n,i,!1,n.paint.get("icon-translate"),n.paint.get("icon-translate-anchor"),n.layout.get("icon-rotation-alignment"),n.layout.get("icon-pitch-alignment"),n.layout.get("icon-keep-upright"),o,s),0!==n.paint.get("text-opacity").constantOr(1)&&rn(e,r,n,i,!0,n.paint.get("text-translate"),n.paint.get("text-translate-anchor"),n.layout.get("text-rotation-alignment"),n.layout.get("text-pitch-alignment"),n.layout.get("text-keep-upright"),o,s),r.map.showCollisionBoxes&&(Kr(e,r,n,i,n.paint.get("text-translate"),n.paint.get("text-translate-anchor"),!0),Kr(e,r,n,i,n.paint.get("icon-translate"),n.paint.get("icon-translate-anchor"),!1))}},circle:function(e,r,n,i){if("translucent"===e.renderPass){var a=n.paint.get("circle-opacity"),o=n.paint.get("circle-stroke-width"),s=n.paint.get("circle-stroke-opacity"),l=void 0!==n.layout.get("circle-sort-key").constantOr(1);if(0!==a.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var c=e.context,u=c.gl,f=e.depthModeForSublayer(0,At.ReadOnly),h=Mt.disabled,p=e.colorModeForRenderPass(),d=[],m=0;m<i.length;m++){var g=i[m],v=r.getTile(g),y=v.getBucket(n);if(y){var x=y.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram("circle",x),layoutVertexBuffer:y.layoutVertexBuffer,indexBuffer:y.indexBuffer,uniformValues:Lr(e,g,v,n)};if(l)for(var _=0,w=y.segments.get();_<w.length;_+=1){var T=w[_];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:b})}else d.push({segments:y.segments,sortKey:0,state:b})}}l&&d.sort((function(t,e){return t.sortKey-e.sortKey}));for(var k=0,A=d;k<A.length;k+=1){var M=A[k],S=M.state,E=S.programConfiguration,L=S.program,C=S.layoutVertexBuffer,P=S.indexBuffer,I=S.uniformValues,O=M.segments;L.draw(c,u.TRIANGLES,f,h,p,Et.disabled,I,n.id,C,P,O,n.paint,e.transform.zoom,E)}}}},heatmap:function(e,r,n,i){if(0!==n.paint.get("heatmap-opacity"))if("offscreen"===e.renderPass){var a=e.context,o=a.gl,s=Mt.disabled,l=new St([o.ONE,o.ONE],t.Color.transparent,[!0,!0,!0,!0]);!function(t,e,r){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var i=r.heatmapFbo;if(i)n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),t.bindFramebuffer.set(i.framebuffer);else{var a=n.createTexture();n.bindTexture(n.TEXTURE_2D,a),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),i=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1),function(t,e,r,n){var i=t.gl,a=t.extRenderToTextureHalfFloat?t.extTextureHalfFloat.HALF_FLOAT_OES:i.UNSIGNED_BYTE;i.texImage2D(i.TEXTURE_2D,0,i.RGBA,e.width/4,e.height/4,0,i.RGBA,a,null),n.colorAttachment.set(r)}(t,e,a,i)}}(a,e,n),a.clear({color:t.Color.transparent});for(var c=0;c<i.length;c++){var u=i[c];if(!r.hasRenderableParent(u)){var f=r.getTile(u),h=f.getBucket(n);if(h){var p=h.programConfigurations.get(n.id),d=e.useProgram("heatmap",p),m=e.transform.zoom;d.draw(a,o.TRIANGLES,At.disabled,s,l,Et.disabled,zr(u.posMatrix,f,m,n.paint.get("heatmap-intensity")),n.id,h.layoutVertexBuffer,h.indexBuffer,h.segments,n.paint,e.transform.zoom,p)}}}a.viewport.set([0,0,e.width,e.height])}else"translucent"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,i=n.gl,a=r.heatmapFbo;if(!a)return;n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,a.colorAttachment.get()),n.activeTexture.set(i.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,i.RGBA));o.bind(i.LINEAR,i.CLAMP_TO_EDGE),e.useProgram("heatmapTexture").draw(n,i.TRIANGLES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,function(e,r,n,i){var a=t.create();t.ortho(a,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:i,u_opacity:r.paint.get("heatmap-opacity")}}(e,r,0,1),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}(e,n))},line:function(e,r,n,i){if("translucent"===e.renderPass){var a=n.paint.get("line-opacity"),o=n.paint.get("line-width");if(0!==a.constantOr(1)&&0!==o.constantOr(1)){var s=e.depthModeForSublayer(0,At.ReadOnly),l=e.colorModeForRenderPass(),c=n.paint.get("line-dasharray"),u=n.paint.get("line-pattern"),f=u.constantOr(1),h=n.paint.get("line-gradient"),p=n.getCrossfadeParameters(),d=f?"linePattern":c?"lineSDF":h?"lineGradient":"line",m=e.context,g=m.gl,v=!0;if(h){m.activeTexture.set(g.TEXTURE0);var y=n.gradientTexture;if(!n.gradient)return;y||(y=n.gradientTexture=new t.Texture(m,n.gradient,g.RGBA)),y.bind(g.LINEAR,g.CLAMP_TO_EDGE)}for(var x=0,b=i;x<b.length;x+=1){var _=b[x],w=r.getTile(_);if(!f||w.patternsLoaded()){var T=w.getBucket(n);if(T){var k=T.programConfigurations.get(n.id),A=e.context.program.get(),M=e.useProgram(d,k),S=v||M.program!==A,E=u.constantOr(null);if(E&&w.imageAtlas){var L=w.imageAtlas,C=L.patternPositions[E.to.toString()],P=L.patternPositions[E.from.toString()];C&&P&&k.setConstantPatternPositions(C,P)}var I=f?Br(e,w,n,p):c?Nr(e,w,n,c,p):h?Fr(e,w,n):Rr(e,w,n);f?(m.activeTexture.set(g.TEXTURE0),w.imageAtlasTexture.bind(g.LINEAR,g.CLAMP_TO_EDGE),k.updatePaintBuffers(p)):c&&(S||e.lineAtlas.dirty)&&(m.activeTexture.set(g.TEXTURE0),e.lineAtlas.bind(m)),M.draw(m,g.TRIANGLES,s,e.stencilModeForClipping(_),l,Et.disabled,I,n.id,T.layoutVertexBuffer,T.indexBuffer,T.segments,n.paint,e.transform.zoom,k),v=!1}}}}}},fill:function(e,r,n,i){var a=n.paint.get("fill-color"),o=n.paint.get("fill-opacity");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get("fill-pattern"),c=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?"opaque":"translucent";if(e.renderPass===c){var u=e.depthModeForSublayer(1,"opaque"===e.renderPass?At.ReadWrite:At.ReadOnly);an(e,r,n,i,u,s,!1)}if("translucent"===e.renderPass&&n.paint.get("fill-antialias")){var f=e.depthModeForSublayer(n.getPaintProperty("fill-outline-color")?2:0,At.ReadOnly);an(e,r,n,i,f,s,!0)}}},"fill-extrusion":function(t,e,r,n){var i=r.paint.get("fill-extrusion-opacity");if(0!==i&&"translucent"===t.renderPass){var a=new At(t.context.gl.LEQUAL,At.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get("fill-extrusion-pattern").constantOr(1))on(t,e,r,n,a,Mt.disabled,St.disabled),on(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();on(t,e,r,n,a,Mt.disabled,o)}}},hillshade:function(t,e,r,n){if("offscreen"===t.renderPass||"translucent"===t.renderPass){for(var i=t.context,a=e.getSource().maxzoom,o=t.depthModeForSublayer(0,At.ReadOnly),s=t.colorModeForRenderPass(),l="translucent"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],c=l[0],u=0,f=l[1];u<f.length;u+=1){var h=f[u],p=e.getTile(h);p.needsHillshadePrepare&&"offscreen"===t.renderPass?ln(t,p,r,a,o,Mt.disabled,s):"translucent"===t.renderPass&&sn(t,p,r,o,c[h.overscaledZ],s)}i.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if("translucent"===t.renderPass&&0!==r.paint.get("raster-opacity")&&n.length)for(var i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram("raster"),l=t.colorModeForRenderPass(),c=o instanceof I?[{},n]:t.stencilConfigForOverlap(n),u=c[0],f=c[1],h=f[f.length-1].overscaledZ,p=!t.options.moving,d=0,m=f;d<m.length;d+=1){var g=m[d],v=t.depthModeForSublayer(g.overscaledZ-h,1===r.paint.get("raster-opacity")?At.ReadWrite:At.ReadOnly,a.LESS),y=e.getTile(g),x=t.transform.calculatePosMatrix(g.toUnwrapped(),p);y.registerFadeDuration(r.paint.get("raster-fade-duration"));var b=e.findLoadedParent(g,0),_=cn(y,b,e,r,t.transform),w=void 0,T=void 0,k="nearest"===r.paint.get("raster-resampling")?a.NEAREST:a.LINEAR;i.activeTexture.set(a.TEXTURE0),y.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),i.activeTexture.set(a.TEXTURE1),b?(b.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),w=Math.pow(2,b.tileID.overscaledZ-y.tileID.overscaledZ),T=[y.tileID.canonical.x*w%1,y.tileID.canonical.y*w%1]):y.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST);var A=Vr(x,T||[0,0],w||1,_,r);o instanceof I?s.draw(i,a.TRIANGLES,v,Mt.disabled,l,Et.disabled,A,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,v,u[g.overscaledZ],l,Et.disabled,A,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get("background-color"),i=r.paint.get("background-opacity");if(0!==i){var a=t.context,o=a.gl,s=t.transform,l=s.tileSize,c=r.paint.get("background-pattern");if(!t.isPatternMissing(c)){var u=!c&&1===n.a&&1===i&&t.opaquePassEnabledForLayer()?"opaque":"translucent";if(t.renderPass===u){var f=Mt.disabled,h=t.depthModeForSublayer(0,"opaque"===u?At.ReadWrite:At.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(c?"backgroundPattern":"background"),m=s.coveringTiles({tileSize:l});c&&(a.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var g=r.getCrossfadeParameters(),v=0,y=m;v<y.length;v+=1){var x=y[v],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=c?Zr(b,i,t,c,{tileID:x,tileSize:l},g):Xr(b,i,n);d.draw(a,o.TRIANGLES,h,f,p,Et.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)xn(t,e,r[n])},custom:function(t,e,r){var n=t.context,i=r.implementation;if("offscreen"===t.renderPass){var a=i.prerender;a&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),a.call(i,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if("translucent"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(Mt.disabled);var o="3d"===i.renderingMode?new At(t.context.gl.LEQUAL,At.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,At.ReadOnly);n.setDepthMode(o),i.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},_n=function(t,e){this.context=new Lt(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Ct.maxUnderzooming+Ct.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Ne,this.gpuTimers={}};_n.prototype.resize=function(e,r){if(this.width=e*t.browser.devicePixelRatio,this.height=r*t.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var n=0,i=this.style._order;n<i.length;n+=1){var a=i[n];this.style._layers[a].resize()}},_n.prototype.setup=function(){var e=this.context,r=new t.StructArrayLayout2i4;r.emplaceBack(0,0),r.emplaceBack(t.EXTENT,0),r.emplaceBack(0,t.EXTENT),r.emplaceBack(t.EXTENT,t.EXTENT),this.tileExtentBuffer=e.createVertexBuffer(r,Ge.members),this.tileExtentSegments=t.SegmentVector.simpleSegment(0,0,4,2);var n=new t.StructArrayLayout2i4;n.emplaceBack(0,0),n.emplaceBack(t.EXTENT,0),n.emplaceBack(0,t.EXTENT),n.emplaceBack(t.EXTENT,t.EXTENT),this.debugBuffer=e.createVertexBuffer(n,Ge.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var i=new t.StructArrayLayout4i8;i.emplaceBack(0,0,0,0),i.emplaceBack(t.EXTENT,0,t.EXTENT,0),i.emplaceBack(0,t.EXTENT,0,t.EXTENT),i.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(i,P.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var a=new t.StructArrayLayout2i4;a.emplaceBack(0,0),a.emplaceBack(1,0),a.emplaceBack(0,1),a.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(a,Ge.members),this.viewportSegments=t.SegmentVector.simpleSegment(0,0,4,2);var o=new t.StructArrayLayout1ui2;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=e.createIndexBuffer(o);var s=new t.StructArrayLayout3ui6;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=e.createIndexBuffer(s),this.emptyTexture=new t.Texture(e,{width:1,height:1,data:new Uint8Array([0,0,0,0])},e.gl.RGBA);var l=this.context.gl;this.stencilClearMode=new Mt({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},_n.prototype.clearStencil=function(){var e=this.context,r=e.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var n=t.create();t.ortho(n,0,this.width,this.height,0,0,1),t.scale(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram("clippingMask").draw(e,r.TRIANGLES,At.disabled,this.stencilClearMode,St.disabled,Et.disabled,Or(n),"$clipping",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},_n.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(St.disabled),r.setDepthMode(At.disabled);var i=this.useProgram("clippingMask");this._tileClippingMaskIDs={};for(var a=0,o=e;a<o.length;a+=1){var s=o[a],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;i.draw(r,n.TRIANGLES,At.disabled,new Mt({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),St.disabled,Et.disabled,Or(s.posMatrix),"$clipping",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},_n.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Mt({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},_n.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Mt({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},_n.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s<a;s++)o[s+i]=new Mt({func:r.GEQUAL,mask:255},s+this.nextStencilID,255,r.KEEP,r.KEEP,r.REPLACE);return this.nextStencilID+=a,[o,n]}return[(e={},e[i]=Mt.disabled,e),n]},_n.prototype.colorModeForRenderPass=function(){var e=this.context.gl;if(this._showOverdrawInspector){return new St([e.CONSTANT_COLOR,e.ONE],new t.Color(1/8,1/8,1/8,0),[!0,!0,!0,!0])}return"opaque"===this.renderPass?St.unblended:St.alphaBlended},_n.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return At.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new At(r||this.context.gl.LEQUAL,e,[n,n])},_n.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},_n.prototype.render=function(e,r){var n=this;this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var i=this.style._order,a=this.style.sourceCaches;for(var o in a){var s=a[o];s.used&&s.prepare(this.context)}var l,c,u={},f={},h={};for(var p in a){var d=a[p];u[p]=d.getVisibleCoordinates(),f[p]=u[p].slice().reverse(),h[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var m=0;m<i.length;m++){var g=i[m];if(this.style._layers[g].is3D()){this.opaquePassCutoff=m;break}}this.renderPass="offscreen";for(var v=0,y=i;v<y.length;v+=1){var x=y[v],b=this.style._layers[x];if(b.hasOffscreenPass()&&!b.isHidden(this.transform.zoom)){var _=f[b.source];("custom"===b.type||_.length)&&this.renderLayer(this,a[b.source],b,_)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?t.Color.black:t.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(e._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass="opaque",this.currentLayer=i.length-1;this.currentLayer>=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=u[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass="translucent",this.currentLayer=0;this.currentLayer<i.length;this.currentLayer++){var A=this.style._layers[i[this.currentLayer]],M=a[A.source],S=("symbol"===A.type?h:f)[A.source];this._renderTileClippingMasks(A,u[A.source]),this.renderLayer(this,M,A,S)}this.options.showTileBoundaries&&(t.values(this.style._layers).forEach((function(t){t.source&&!t.isHidden(n.transform.zoom)&&(t.source!==(c&&c.id)&&(c=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<c.getSource().maxzoom)&&(l=c))})),l&&bn.debug(this,l,l.getVisibleCoordinates()));this.options.showPadding&&mn(this),this.context.setDefault()},_n.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||("background"===r.type||"custom"===r.type||n.length)&&(this.id=r.id,this.gpuTimingStart(r),bn[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},_n.prototype.gpuTimingStart=function(t){if(this.options.gpuTiming){var e=this.context.extTimerQuery,r=this.gpuTimers[t.id];r||(r=this.gpuTimers[t.id]={calls:0,cpuTime:0,query:e.createQueryEXT()}),r.calls++,e.beginQueryEXT(e.TIME_ELAPSED_EXT,r.query)}},_n.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},_n.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},_n.prototype.queryGpuTimers=function(t){var e={};for(var r in t){var n=t[r],i=this.context.extTimerQuery,a=i.getQueryObjectEXT(n.query,i.QUERY_RESULT_EXT)/1e6;i.deleteQueryEXT(n.query),e[r]=a}return e},_n.prototype.translatePosMatrix=function(e,r,n,i,a){if(!n[0]&&!n[1])return e;var o=a?"map"===i?this.transform.angle:0:"viewport"===i?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var c=[a?n[0]:pe(r,n[0],this.transform.zoom),a?n[1]:pe(r,n[1],this.transform.zoom),0],u=new Float32Array(16);return t.translate(u,e,c),u},_n.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},_n.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},_n.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},_n.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=""+t+(e?e.cacheKey:"")+(this._showOverdrawInspector?"/overdraw":"");return this.cache[r]||(this.cache[r]=new _r(this.context,xr[t],e,Jr[t],this._showOverdrawInspector)),this.cache[r]},_n.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},_n.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},_n.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement("canvas"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},_n.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var wn=function(t,e){this.points=t,this.planes=e};wn.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new wn(a,o)};var Tn=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};Tn.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a<r.length;a++)n[a]=r[a]?this.min[a]:this.center[a],i[a]=r[a]?this.center[a]:this.max[a];return i[2]=this.max[2],new Tn(n,i)},Tn.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},Tn.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},Tn.prototype.intersects=function(e){for(var r=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],n=!0,i=0;i<e.planes.length;i++){for(var a=e.planes[i],o=0,s=0;s<r.length;s++)o+=t.dot$1(a,r[s])>=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var c=Number.MAX_VALUE,u=-Number.MAX_VALUE,f=0;f<e.points.length;f++){var h=e.points[f][l]-this.min[l];c=Math.min(c,h),u=Math.max(u,h)}if(u<0||c>this.max[l]-this.min[l])return 0}return 1};var kn=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error("Invalid value for edge-insets, top, bottom, left and right must all be numbers");this.top=t,this.bottom=e,this.left=r,this.right=n};kn.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},kn.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),i=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,i)},kn.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},kn.prototype.clone=function(){return new kn(this.top,this.bottom,this.left,this.right)},kn.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var An=function(e,r,n,i,a){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===a||a,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new kn,this._posMatrixCache={},this._alignedPosMatrixCache={}},Mn={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};An.prototype.clone=function(){var t=new An(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},Mn.minZoom.get=function(){return this._minZoom},Mn.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},Mn.maxZoom.get=function(){return this._maxZoom},Mn.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},Mn.minPitch.get=function(){return this._minPitch},Mn.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},Mn.maxPitch.get=function(){return this._maxPitch},Mn.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},Mn.renderWorldCopies.get=function(){return this._renderWorldCopies},Mn.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},Mn.worldSize.get=function(){return this.tileSize*this.scale},Mn.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},Mn.size.get=function(){return new t.Point(this.width,this.height)},Mn.bearing.get=function(){return-this.angle/Math.PI*180},Mn.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},Mn.pitch.get=function(){return this._pitch/Math.PI*180},Mn.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},Mn.fov.get=function(){return this._fov/Math.PI*180},Mn.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},Mn.zoom.get=function(){return this._zoom},Mn.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},Mn.center.get=function(){return this._center},Mn.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},Mn.padding.get=function(){return this._edgeInsets.toJSON()},Mn.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},Mn.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},An.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},An.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},An.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},An.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),c=s-1;c<=l+1;c++)0!==c&&r.push(new t.UnwrappedTileID(c,e));return r},An.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&r<e.minzoom)return[];void 0!==e.maxzoom&&r>e.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=wn.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var c=function(t){return{aabb:new Tn([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},u=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)u.push(c(-d)),u.push(c(d));for(u.push(c(0));u.length>0;){var m=u.pop(),g=m.x,v=m.y,y=m.fullyVisible;if(!y){var x=m.aabb.intersects(s);if(0===x)continue;y=2===x}var b=m.aabb.distanceX(o),_=m.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<<h-m.zoom)-2;if(m.zoom===h||w>T&&m.zoom>=l)f.push({tileID:new t.OverscaledTileID(m.zoom===h?p:m.zoom,m.wrap,m.zoom,g,v),distanceSq:t.sqrLen([o[0]-.5-g,o[1]-.5-v])});else for(var k=0;k<4;k++){var A=(g<<1)+k%2,M=(v<<1)+(k>>1);u.push({aabb:m.aabb.quadrant(k),zoom:m.zoom+1,x:A,y:M,wrap:m.wrap,fullyVisible:y})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},An.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},Mn.unmodified.get=function(){return this._unmodified},An.prototype.zoomScale=function(t){return Math.pow(2,t)},An.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},An.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},An.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},Mn.point.get=function(){return this.project(this.center)},An.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(e),o=new t.MercatorCoordinate(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},An.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},An.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},An.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},An.prototype.coordinateLocation=function(t){return t.toLngLat()},An.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,c=n[1]/a,u=r[2]/i,f=n[2]/a,h=u===f?0:(0-u)/(f-u);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,c,h)/this.worldSize)},An.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},An.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},An.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},An.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},An.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];var a=e.canonical,o=this.worldSize/this.zoomScale(a.z),s=a.x+Math.pow(2,a.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,a.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),i[n]=new Float32Array(l),i[n]},An.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},An.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,c=this.size,u=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-a<c.y?c.y/(o-a):0}if(this.lngRange){var h=this.lngRange;s=t.mercatorXfromLng(h[0])*this.worldSize,r=(l=t.mercatorXfromLng(h[1])*this.worldSize)-s<c.x?c.x/(l-s):0}var p=this.point,d=Math.max(r||0,e||0);if(d)return this.center=this.unproject(new t.Point(r?(l+s)/2:p.x,e?(o+a)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=u,void(this._constraining=!1);if(this.latRange){var m=p.y,g=c.y/2;m-g<a&&(i=a+g),m+g>o&&(i=o-g)}if(this.lngRange){var v=p.x,y=c.x/2;v-y<s&&(n=s+y),v+y>l&&(n=l-y)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=u,this._constraining=!1}},An.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,c=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),u=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,u,c),f[8]=2*-r.x/this.width,f[9]=2*r.y/this.height,t.scale(f,f,[1,-1,1]),t.translate(f,f,[0,0,-this.cameraToCenterDistance]),t.rotateX(f,f,this._pitch),t.rotateZ(f,f,this.angle),t.translate(f,f,[-s,-l,0]),this.mercatorMatrix=t.scale([],f,[this.worldSize,this.worldSize,this.worldSize]),t.scale(f,f,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=f,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),m=Math.sin(this.angle),g=s-Math.round(s)+d*h+m*p,v=l-Math.round(l)+d*p+m*h,y=new Float64Array(f);if(t.translate(y,y,[g>.5?g-1:g,v>.5?v-1:v,0]),this.alignedProjMatrix=y,f=t.create(),t.scale(f,f,[this.width/2,-this.height/2,1]),t.translate(f,f,[1,-1,0]),this.labelPlaneMatrix=f,f=t.create(),t.scale(f,f,[1,-1,1]),t.translate(f,f,[-1,-1,0]),t.scale(f,f,[2/this.width,2/this.height,1]),this.glCoordMatrix=f,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(f=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error("failed to invert matrix");this.pixelMatrixInverse=f,this._posMatrixCache={},this._alignedPosMatrixCache={}}},An.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},An.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},An.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var c=l[s];n=Math.min(n,c.x),i=Math.min(i,c.y),a=Math.max(a,c.x),o=Math.max(o,c.y)}return[new t.Point(n,i),new t.Point(a,i),new t.Point(a,o),new t.Point(n,o),new t.Point(n,i)]},Object.defineProperties(An.prototype,Mn);var Sn=function(e){var r,n,i,a,o;this._hashName=e&&encodeURIComponent(e),t.bindAll(["_getCurrentHash","_onHashChange","_updateHash"],this),this._updateHash=(r=this._updateHashUnthrottled.bind(this),n=300,i=!1,a=null,o=function(){a=null,i&&(r(),a=setTimeout(o,n),i=!1)},function(){return i=!0,a||o(),a})};Sn.prototype.addTo=function(e){return this._map=e,t.window.addEventListener("hashchange",this._onHashChange,!1),this._map.on("moveend",this._updateHash),this},Sn.prototype.remove=function(){return t.window.removeEventListener("hashchange",this._onHashChange,!1),this._map.off("moveend",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},Sn.prototype.getHashString=function(e){var r=this._map.getCenter(),n=Math.round(100*this._map.getZoom())/100,i=Math.ceil((n*Math.LN2+Math.log(512/360/.5))/Math.LN10),a=Math.pow(10,i),o=Math.round(r.lng*a)/a,s=Math.round(r.lat*a)/a,l=this._map.getBearing(),c=this._map.getPitch(),u="";if(u+=e?"/"+o+"/"+s+"/"+n:n+"/"+s+"/"+o,(l||c)&&(u+="/"+Math.round(10*l)/10),c&&(u+="/"+Math.round(c)),this._hashName){var f=this._hashName,h=!1,p=t.window.location.hash.slice(1).split("&").map((function(t){var e=t.split("=")[0];return e===f?(h=!0,e+"="+u):t})).filter((function(t){return t}));return h||p.push(f+"="+u),"#"+p.join("&")}return"#"+u},Sn.prototype._getCurrentHash=function(){var e,r=this,n=t.window.location.hash.replace("#","");return this._hashName?(n.split("&").map((function(t){return t.split("=")})).forEach((function(t){t[0]===r._hashName&&(e=t)})),(e&&e[1]||"").split("/")):n.split("/")},Sn.prototype._onHashChange=function(){var t=this._getCurrentHash();if(t.length>=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},Sn.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,"",e)}catch(t){}};var En={linearity:.3,easing:t.bezier(0,0,.3,1)},Ln=t.extend({deceleration:2500,maxSpeed:1400},En),Cn=t.extend({deceleration:20,maxSpeed:1400},En),Pn=t.extend({deceleration:1e3,maxSpeed:360},En),In=t.extend({deceleration:1e3,maxSpeed:90},En),On=function(t){this._map=t,this.clear()};function zn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function Dn(e,r,n){var i=n.maxSpeed,a=n.linearity,o=n.deceleration,s=t.clamp(e*a/(r/1e3),-i,i),l=Math.abs(s)/(o*a);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}On.prototype.clear=function(){this._inertiaBuffer=[]},On.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},On.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},On.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n<i.length;n+=1){var a=i[n].settings;r.zoom+=a.zoomDelta||0,r.bearing+=a.bearingDelta||0,r.pitch+=a.pitchDelta||0,a.panDelta&&r.pan._add(a.panDelta),a.around&&(r.around=a.around),a.pinchAround&&(r.pinchAround=a.pinchAround)}var o=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,s={};if(r.pan.mag()){var l=Dn(r.pan.mag(),o,t.extend({},Ln,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,zn(s,l)}if(r.zoom){var c=Dn(r.zoom,o,Cn);s.zoom=this._map.transform.zoom+c.amount,zn(s,c)}if(r.bearing){var u=Dn(r.bearing,o,Pn);s.bearing=this._map.transform.bearing+t.clamp(u.amount,-179,179),zn(s,u)}if(r.pitch){var f=Dn(r.pitch,o,In);s.pitch=this._map.transform.pitch+f.amount,zn(s,f)}if(s.zoom||s.bearing){var h=void 0===r.pinchAround?r.around:r.pinchAround;s.around=h?this._map.unproject(h):this._map.getCenter()}return this.clear(),t.extend(s,{noMoveStart:!0})}};var Rn=function(e){function n(n,i,a,o){void 0===o&&(o={});var s=r.mousePos(i.getCanvasContainer(),a),l=i.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:a},o)),this._defaultPrevented=!1,this.target=i}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Fn=function(e){function n(n,i,a){var o="touchend"===n?a.changedTouches:a.touches,s=r.touchPos(i.getCanvasContainer(),o),l=s.map((function(t){return i.unproject(t)})),c=s.reduce((function(t,e,r,n){return t.add(e.div(n.length))}),new t.Point(0,0)),u=i.unproject(c);e.call(this,n,{points:s,point:c,lngLats:l,lngLat:u,originalEvent:a}),this._defaultPrevented=!1}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Bn=function(t){function e(e,r,n){t.call(this,e,{originalEvent:n}),this._defaultPrevented=!1}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={defaultPrevented:{configurable:!0}};return e.prototype.preventDefault=function(){this._defaultPrevented=!0},r.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(e.prototype,r),e}(t.Event),Nn=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};Nn.prototype.reset=function(){delete this._mousedownPos},Nn.prototype.wheel=function(t){return this._firePreventable(new Bn(t.type,this._map,t))},Nn.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new Rn(t.type,this._map,t))},Nn.prototype.mouseup=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.dblclick=function(t){return this._firePreventable(new Rn(t.type,this._map,t))},Nn.prototype.mouseover=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.mouseout=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.touchstart=function(t){return this._firePreventable(new Fn(t.type,this._map,t))},Nn.prototype.touchmove=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype.touchend=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype.touchcancel=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Nn.prototype.isEnabled=function(){return!0},Nn.prototype.isActive=function(){return!1},Nn.prototype.enable=function(){},Nn.prototype.disable=function(){};var jn=function(t){this._map=t};jn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},jn.prototype.mousemove=function(t){this._map.fire(new Rn(t.type,this._map,t))},jn.prototype.mousedown=function(){this._delayContextMenu=!0},jn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Rn("contextmenu",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},jn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Rn(t.type,this._map,t)),this._map.listens("contextmenu")&&t.preventDefault()},jn.prototype.isEnabled=function(){return!0},jn.prototype.isActive=function(){return!1},jn.prototype.enable=function(){},jn.prototype.disable=function(){};var Un=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Vn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Un.prototype.isEnabled=function(){return!!this._enabled},Un.prototype.isActive=function(){return!!this._active},Un.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Un.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Un.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Un.prototype.mousemoveWindow=function(t,e){if(this._active){var n=e;if(!(this._lastPos.equals(n)||!this._box&&n.dist(this._startPos)<this._clickTolerance)){var i=this._startPos;this._lastPos=n,this._box||(this._box=r.create("div","mapboxgl-boxzoom",this._container),this._container.classList.add("mapboxgl-crosshair"),this._fireEvent("boxzoomstart",t));var a=Math.min(i.x,n.x),o=Math.max(i.x,n.x),s=Math.min(i.y,n.y),l=Math.max(i.y,n.y);r.setTransform(this._box,"translate("+a+"px,"+s+"px)"),this._box.style.width=o-a+"px",this._box.style.height=l-s+"px"}}},Un.prototype.mouseupWindow=function(e,n){var i=this;if(this._active&&0===e.button){var a=this._startPos,o=n;if(this.reset(),r.suppressClick(),a.x!==o.x||a.y!==o.y)return this._map.fire(new t.Event("boxzoomend",{originalEvent:e})),{cameraAnimation:function(t){return t.fitScreenCoordinates(a,o,i._map.getBearing(),{linear:!0})}};this._fireEvent("boxzoomcancel",e)}},Un.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent("boxzoomcancel",t))},Un.prototype.reset=function(){this._active=!1,this._container.classList.remove("mapboxgl-crosshair"),this._box&&(r.remove(this._box),this._box=null),r.enableDrag(),delete this._startPos,delete this._lastPos},Un.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var Hn=function(t){this.reset(),this.numTouches=t.numTouches};Hn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},Hn.prototype.touchstart=function(e,r,n){(this.centroid||n.length>this.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n<i.length;n+=1){var a=i[n];r._add(a)}return r.div(e.length)}(r),this.touches=Vn(n,r)))},Hn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=Vn(r,e);for(var i in this.touches){var a=this.touches[i],o=n[i];(!o||o.dist(a)>30)&&(this.aborted=!0)}}},Hn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var qn=function(t){this.singleTap=new Hn(t),this.numTaps=t.numTaps,this.reset()};qn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},qn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},qn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},qn.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Gn=function(){this._zoomIn=new qn({numTouches:1,numTaps:2}),this._zoomOut=new qn({numTouches:2,numTaps:1}),this.reset()};Gn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Gn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Gn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Gn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Gn.prototype.touchcancel=function(){this.reset()},Gn.prototype.enable=function(){this._enabled=!0},Gn.prototype.disable=function(){this._enabled=!1,this.reset()},Gn.prototype.isEnabled=function(){return this._enabled},Gn.prototype.isActive=function(){return this._active};var Yn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Yn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Yn.prototype._correctButton=function(t,e){return!1},Yn.prototype._move=function(t,e){return{}},Yn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Yn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r&&(t.preventDefault(),this._moved||!(e.dist(r)<this._clickTolerance)))return this._moved=!0,this._lastPoint=e,this._move(r,e)},Yn.prototype.mouseupWindow=function(t){r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},Yn.prototype.enable=function(){this._enabled=!0},Yn.prototype.disable=function(){this._enabled=!1,this.reset()},Yn.prototype.isEnabled=function(){return this._enabled},Yn.prototype.isActive=function(){return this._active};var Wn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.mousedown=function(e,r){t.prototype.mousedown.call(this,e,r),this._lastPoint&&(this._active=!0)},e.prototype._correctButton=function(t,e){return 0===e&&!t.ctrlKey},e.prototype._move=function(t,e){return{around:e,panDelta:e.sub(t)}},e}(Yn),Xn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=.8*(e.x-t.x);if(r)return this._active=!0,{bearingDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Yn),Zn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=-.5*(e.y-t.y);if(r)return this._active=!0,{pitchDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Yn),Jn=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};Jn.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},Jn.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},Jn.prototype.touchmove=function(t,e,r){if(this._active)return t.preventDefault(),this._calculateTransform(t,e,r)},Jn.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},Jn.prototype.touchcancel=function(){this.reset()},Jn.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var i=Vn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var c=i[l],u=this._touches[l];u&&(a._add(c),o._add(c.sub(u)),s++,i[l]=c)}if(this._touches=i,!(s<this._minTouches)&&o.mag()){var f=o.div(s);if(this._sum._add(f),!(this._sum.mag()<this._clickTolerance))return{around:a.div(s),panDelta:f}}},Jn.prototype.enable=function(){this._enabled=!0},Jn.prototype.disable=function(){this._enabled=!1,this.reset()},Jn.prototype.isEnabled=function(){return this._enabled},Jn.prototype.isActive=function(){return this._active};var Kn=function(){this.reset()};function Qn(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}Kn.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},Kn.prototype._start=function(t){},Kn.prototype._move=function(t,e,r){return{}},Kn.prototype.touchstart=function(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]))},Kn.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,i=n[0],a=n[1],o=Qn(r,e,i),s=Qn(r,e,a);if(o&&s){var l=this._aroundCenter?null:o.add(s).div(2);return this._move([o,s],l,t)}}},Kn.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var i=this._firstTwoTouches,a=i[0],o=i[1],s=Qn(n,e,a),l=Qn(n,e,o);s&&l||(this._active&&r.suppressClick(),this.reset())}},Kn.prototype.touchcancel=function(){this.reset()},Kn.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&"center"===t.around},Kn.prototype.disable=function(){this._enabled=!1,this.reset()},Kn.prototype.isEnabled=function(){return this._enabled},Kn.prototype.isActive=function(){return this._active};function $n(t,e){return Math.log(t/e)/Math.LN2}var ti=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._distance,delete this._startDistance},e.prototype._start=function(t){this._startDistance=this._distance=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs($n(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:$n(this._distance,r),pinchAround:e}},e}(Kn);function ei(t,e){return 180*t.angleWith(e)/Math.PI}var ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},e.prototype._start=function(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:ei(this._vector,r),pinchAround:e}},e.prototype._isBelowThreshold=function(t){this._minDiameter=Math.min(this._minDiameter,t.mag());var e=25/(Math.PI*this._minDiameter)*360,r=ei(t,this._startVector);return Math.abs(r)<e},e}(Kn);function ni(t){return Math.abs(t.y)>Math.abs(t.x)}var ii=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,ni(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid){this._lastPoints=t,this._active=!0;return{pitchDelta:-.5*((n.y+i.y)/2)}}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return ni(t)&&ni(e)&&a}},e}(Kn),ai={panStep:100,bearingStep:15,pitchStep:10},oi=function(){var t=ai;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep};function si(t){return t*(2-t)}oi.prototype.reset=function(){this._active=!1},oi.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:"keyboardHandler",easing:si,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},oi.prototype.enable=function(){this._enabled=!0},oi.prototype.disable=function(){this._enabled=!1,this.reset()},oi.prototype.isEnabled=function(){return this._enabled},oi.prototype.isActive=function(){return this._active};var li=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=1/450,t.bindAll(["_onWheel","_onTimeout","_onScrollFrame","_onScrollFinished"],this)};li.prototype.setZoomRate=function(t){this._defaultZoomRate=t},li.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},li.prototype.isEnabled=function(){return!!this._enabled},li.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},li.prototype.isZooming=function(){return!!this._zooming},li.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&"center"===t.around)},li.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},li.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%4.000244140625==0?this._type="wheel":0!==r&&Math.abs(r)<4?this._type="trackpad":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?"trackpad":"wheel",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},li.prototype._onTimeout=function(t){this._type="wheel",this._delta-=this._lastValue,this._active||this._start(t)},li.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},li.prototype.renderFrame=function(){return this._onScrollFrame()},li.prototype._onScrollFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n="wheel"===this._type&&Math.abs(this._delta)>4.000244140625?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a="number"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),"wheel"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s="number"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,c=this._easing,u=!1;if("wheel"===this._type&&l&&c){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=c(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):u=!0}else o=s,u=!0;return this._active=!0,u&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!u,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},li.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},li.prototype.reset=function(){this._active=!1};var ci=function(t,e){this._clickZoom=t,this._tapZoom=e};ci.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},ci.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},ci.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},ci.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var ui=function(){this.reset()};ui.prototype.reset=function(){this._active=!1},ui.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},ui.prototype.enable=function(){this._enabled=!0},ui.prototype.disable=function(){this._enabled=!1,this.reset()},ui.prototype.isEnabled=function(){return this._enabled},ui.prototype.isActive=function(){return this._active};var fi=function(){this._tap=new qn({numTouches:1,numTaps:1}),this.reset()};fi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},fi.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},fi.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},fi.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},fi.prototype.touchcancel=function(){this.reset()},fi.prototype.enable=function(){this._enabled=!0},fi.prototype.disable=function(){this._enabled=!1,this.reset()},fi.prototype.isEnabled=function(){return this._enabled},fi.prototype.isActive=function(){return this._active};var hi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};hi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add("mapboxgl-touch-drag-pan")},hi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove("mapboxgl-touch-drag-pan")},hi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},hi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var pi=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};pi.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},pi.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},pi.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},pi.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var di=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};di.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add("mapboxgl-touch-zoom-rotate")},di.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove("mapboxgl-touch-zoom-rotate")},di.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},di.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},di.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},di.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var mi=function(t){return t.zoom||t.drag||t.pitch||t.rotate},gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function vi(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var yi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new On(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll(["handleEvent","handleWindowEvent"],this);var i=this._el;this._listeners=[[i,"touchstart",{passive:!1}],[i,"touchmove",{passive:!1}],[i,"touchend",void 0],[i,"touchcancel",void 0],[i,"mousedown",void 0],[i,"mousemove",void 0],[i,"mouseup",void 0],[t.window.document,"mousemove",{capture:!0}],[t.window.document,"mouseup",void 0],[i,"mouseover",void 0],[i,"mouseout",void 0],[i,"dblclick",void 0],[i,"click",void 0],[i,"keydown",{capture:!1}],[i,"keyup",void 0],[i,"wheel",{passive:!1}],[i,"contextmenu",void 0],[t.window,"blur",void 0]];for(var a=0,o=this._listeners;a<o.length;a+=1){var s=o[a],l=s[0],c=s[1],u=s[2];r.addEventListener(l,c,l===t.window.document?this.handleWindowEvent:this.handleEvent,u)}};yi.prototype.destroy=function(){for(var e=0,n=this._listeners;e<n.length;e+=1){var i=n[e],a=i[0],o=i[1],s=i[2];r.removeEventListener(a,o,a===t.window.document?this.handleWindowEvent:this.handleEvent,s)}},yi.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add("mapEvent",new Nn(e,t));var n=e.boxZoom=new Un(e,t);this._add("boxZoom",n);var i=new Gn,a=new ui;e.doubleClickZoom=new ci(a,i),this._add("tapZoom",i),this._add("clickZoom",a);var o=new fi;this._add("tapDragZoom",o);var s=e.touchPitch=new ii;this._add("touchPitch",s);var l=new Xn(t),c=new Zn(t);e.dragRotate=new pi(t,l,c),this._add("mouseRotate",l,["mousePitch"]),this._add("mousePitch",c,["mouseRotate"]);var u=new Wn(t),f=new Jn(t);e.dragPan=new hi(r,u,f),this._add("mousePan",u),this._add("touchPan",f,["touchZoom","touchRotate"]);var h=new ri,p=new ti;e.touchZoomRotate=new di(r,p,h,o),this._add("touchRotate",h,["touchPan","touchZoom"]),this._add("touchZoom",p,["touchPan","touchRotate"]);var d=e.scrollZoom=new li(e,this);this._add("scrollZoom",d,["mousePan"]);var m=e.keyboard=new oi;this._add("keyboard",m),this._add("blockableMapEvent",new jn(e));for(var g=0,v=["boxZoom","doubleClickZoom","tapDragZoom","touchPitch","dragRotate","dragPan","touchZoomRotate","scrollZoom","keyboard"];g<v.length;g+=1){var y=v[g];t.interactive&&t[y]&&e[y].enable(t[y])}},yi.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},yi.prototype.stop=function(){if(!this._updatingCamera){for(var t=0,e=this._handlers;t<e.length;t+=1){e[t].handler.reset()}this._inertia.clear(),this._fireEvents({},{}),this._changes=[]}},yi.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1){if(e[t].handler.isActive())return!0}return!1},yi.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},yi.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},yi.prototype.isMoving=function(){return Boolean(mi(this._eventsInProgress))||this.isZooming()},yi.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},yi.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+"Window")},yi.prototype._getMapTouches=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=i.target;this._el.contains(a)&&e.push(i)}return e},yi.prototype.handleEvent=function(t,e){if("blur"!==t.type){this._updatingCamera=!0;for(var n="renderFrame"===t.type?void 0:t,i={needsRenderFrame:!1},a={},o={},s=t.touches?this._getMapTouches(t.touches):void 0,l=s?r.touchPos(this._el,s):r.mousePos(this._el,t),c=0,u=this._handlers;c<u.length;c+=1){var f=u[c],h=f.handlerName,p=f.handler,d=f.allowed;if(p.isEnabled()){var m=void 0;this._blockedByActive(o,d,h)?p.reset():p[e||t.type]&&(m=p[e||t.type](t,l,s),this.mergeHandlerResult(i,a,m,h,n),m&&m.needsRenderFrame&&this._triggerRenderFrame()),(m||p.isActive())&&(o[h]=p)}}var g={};for(var v in this._previousActiveHandlers)o[v]||(g[v]=n);this._previousActiveHandlers=o,(Object.keys(g).length||vi(i))&&(this._changes.push([i,a,g]),this._triggerRenderFrame()),(Object.keys(o).length||vi(i))&&this._map._stop(!0),this._updatingCamera=!1;var y=i.cameraAnimation;y&&(this._inertia.clear(),this._fireEvents({},{}),this._changes=[],y(this._map))}else this.stop()},yi.prototype.mergeHandlerResult=function(e,r,n,i,a){if(n){t.extend(e,n);var o={handlerName:i,originalEvent:n.originalEvent||a};void 0!==n.zoomDelta&&(r.zoom=o),void 0!==n.panDelta&&(r.drag=o),void 0!==n.pitchDelta&&(r.pitch=o),void 0!==n.bearingDelta&&(r.rotate=o)}},yi.prototype._applyChanges=function(){for(var e={},r={},n={},i=0,a=this._changes;i<a.length;i+=1){var o=a[i],s=o[0],l=o[1],c=o[2];s.panDelta&&(e.panDelta=(e.panDelta||new t.Point(0,0))._add(s.panDelta)),s.zoomDelta&&(e.zoomDelta=(e.zoomDelta||0)+s.zoomDelta),s.bearingDelta&&(e.bearingDelta=(e.bearingDelta||0)+s.bearingDelta),s.pitchDelta&&(e.pitchDelta=(e.pitchDelta||0)+s.pitchDelta),void 0!==s.around&&(e.around=s.around),void 0!==s.pinchAround&&(e.pinchAround=s.pinchAround),s.noInertia&&(e.noInertia=s.noInertia),t.extend(r,l),t.extend(n,c)}this._updateMapTransform(e,r,n),this._changes=[]},yi.prototype._updateMapTransform=function(t,e,r){var n=this._map,i=n.transform;if(!vi(t))return this._fireEvents(e,r);var a=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,c=t.around,u=t.pinchAround;void 0!==u&&(c=u),n._stop(!0),c=c||n.transform.centerPoint;var f=i.pointLocation(a?c.sub(a):c);s&&(i.bearing+=s),l&&(i.pitch+=l),o&&(i.zoom+=o),i.setLocationAtPoint(f,c),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r)},yi.prototype._fireEvents=function(e,r){var n=this,i=mi(this._eventsInProgress),a=mi(e),o={};for(var s in e){var l=e[s].originalEvent;this._eventsInProgress[s]||(o[s+"start"]=l),this._eventsInProgress[s]=e[s]}for(var c in!i&&a&&this._fireEvent("movestart",a.originalEvent),o)this._fireEvent(c,o[c]);for(var u in e.rotate&&(this._bearingChanged=!0),a&&this._fireEvent("move",a.originalEvent),e){var f=e[u].originalEvent;this._fireEvent(u,f)}var h,p={};for(var d in this._eventsInProgress){var m=this._eventsInProgress[d],g=m.handlerName,v=m.originalEvent;this._handlersById[g].isActive()||(delete this._eventsInProgress[d],h=r[g]||v,p[d+"end"]=h)}for(var y in p)this._fireEvent(y,p[y]);var x=mi(this._eventsInProgress);if((i||a)&&!x){this._updatingCamera=!0;var b=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),_=function(t){return 0!==t&&-n._bearingSnap<t&&t<n._bearingSnap};b?(_(b.bearing||this._map.getBearing())&&(b.bearing=0),this._map.easeTo(b,{originalEvent:h})):(this._map.fire(new t.Event("moveend",{originalEvent:h})),_(this._map.getBearing())&&this._map.resetNorth()),this._bearingChanged=!1,this._updatingCamera=!1}},yi.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},yi.prototype._triggerRenderFrame=function(){var t=this;void 0===this._frameId&&(this._frameId=this._map._requestRenderFrame((function(e){delete t._frameId,t.handleEvent(new gi("renderFrame",{timeStamp:e})),t._applyChanges()})))};var xi=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll(["_renderFrameCallback"],this)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.getPadding=function(){return this.transform.padding},r.prototype.setPadding=function(t,e){return this.jumpTo({padding:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){return e=t.LngLatBounds.convert(e),this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),0,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,i){var a={top:0,bottom:0,right:0,left:0};if("number"==typeof(i=t.extend({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){var o=i.padding;i.padding={top:o,bottom:o,right:o,left:o}}i.padding=t.extend(a,i.padding);var s=this.transform,l=s.padding,c=s.project(t.LngLat.convert(e)),u=s.project(t.LngLat.convert(r)),f=c.rotate(-n*Math.PI/180),h=u.rotate(-n*Math.PI/180),p=new t.Point(Math.max(f.x,h.x),Math.max(f.y,h.y)),d=new t.Point(Math.min(f.x,h.x),Math.min(f.y,h.y)),m=p.sub(d),g=(s.width-(l.left+l.right+i.padding.left+i.padding.right))/m.x,v=(s.height-(l.top+l.bottom+i.padding.top+i.padding.bottom))/m.y;if(!(v<0||g<0)){var y=Math.min(s.scaleZoom(s.scale*Math.min(g,v)),i.maxZoom),x=t.Point.convert(i.offset),b=(i.padding.left-i.padding.right)/2,_=(i.padding.top-i.padding.bottom)/2,w=new t.Point(x.x+b,x.y+_).mult(s.scale/s.zoomScale(y));return{center:s.unproject(c.add(u).div(2).sub(w)),zoom:y,bearing:n}}t.warnOnce("Map cannot fit within canvas with the given bounds, padding, and/or offset.")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,i,a){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,i),i,a)},r.prototype._fitInternal=function(e,r,n){return e?(delete(r=t.extend(e,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,i=!1,a=!1,o=!1;return"zoom"in e&&n.zoom!==+e.zoom&&(i=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),"bearing"in e&&n.bearing!==+e.bearing&&(a=!0,n.bearing=+e.bearing),"pitch"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),null==e.padding||n.isPaddingEqual(e.padding)||(n.padding=e.padding),this.fire(new t.Event("movestart",r)).fire(new t.Event("move",r)),i&&this.fire(new t.Event("zoomstart",r)).fire(new t.Event("zoom",r)).fire(new t.Event("zoomend",r)),a&&this.fire(new t.Event("rotatestart",r)).fire(new t.Event("rotate",r)).fire(new t.Event("rotateend",r)),o&&this.fire(new t.Event("pitchstart",r)).fire(new t.Event("pitch",r)).fire(new t.Event("pitchend",r)),this.fire(new t.Event("moveend",r))},r.prototype.easeTo=function(e,r){var n=this;this._stop(!1,e.easeId),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||!e.essential&&t.browser.prefersReducedMotion)&&(e.duration=0);var i=this.transform,a=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=this.getPadding(),c="zoom"in e?+e.zoom:a,u="bearing"in e?this._normalizeBearing(e.bearing,o):o,f="pitch"in e?+e.pitch:s,h="padding"in e?e.padding:i.padding,p=t.Point.convert(e.offset),d=i.centerPoint.add(p),m=i.pointLocation(d),g=t.LngLat.convert(e.center||m);this._normalizeCenter(g);var v,y,x=i.project(m),b=i.project(g).sub(x),_=i.zoomScale(c-a);e.around&&(v=t.LngLat.convert(e.around),y=i.locationPoint(v));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||c!==a,this._rotating=this._rotating||o!==u,this._pitching=this._pitching||f!==s,this._padding=!i.isPaddingEqual(h),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),clearTimeout(this._easeEndTimeoutID),this._ease((function(e){if(n._zooming&&(i.zoom=t.number(a,c,e)),n._rotating&&(i.bearing=t.number(o,u,e)),n._pitching&&(i.pitch=t.number(s,f,e)),n._padding&&(i.interpolatePadding(l,h,e),d=i.centerPoint.add(p)),v)i.setLocationAtPoint(v,y);else{var m=i.zoomScale(i.zoom-a),g=c>a?Math.min(2,_):Math.max(.5,_),w=Math.pow(g,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(m));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event("movestart",e)),this._zooming&&!n.zooming&&this.fire(new t.Event("zoomstart",e)),this._rotating&&!n.rotating&&this.fire(new t.Event("rotatestart",e)),this._pitching&&!n.pitching&&this.fire(new t.Event("pitchstart",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event("move",e)),this._zooming&&this.fire(new t.Event("zoom",e)),this._rotating&&this.fire(new t.Event("rotate",e)),this._pitching&&this.fire(new t.Event("pitch",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event("zoomend",e)),i&&this.fire(new t.Event("rotateend",e)),a&&this.fire(new t.Event("pitchend",e)),this.fire(new t.Event("moveend",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,["center","zoom","bearing","pitch","around"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),c=this.getPadding(),u="zoom"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f="bearing"in e?this._normalizeBearing(e.bearing,s):s,h="pitch"in e?+e.pitch:l,p="padding"in e?e.padding:a.padding,d=a.zoomScale(u-o),m=t.Point.convert(e.offset),g=a.centerPoint.add(m),v=a.pointLocation(g),y=t.LngLat.convert(e.center||v);this._normalizeCenter(y);var x=a.project(v),b=a.project(y).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if("minZoom"in e){var A=t.clamp(Math.min(e.minZoom,o,u),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);_=Math.sqrt(M/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function L(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),I=function(t){return C(P)/C(P+_*t)},O=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/k;var e},z=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(z)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var D=T<w?-1:1;z=Math.abs(Math.log(T/w))/_,O=function(){return 0},I=function(t){return Math.exp(D*_*t)}}if("duration"in e)e.duration=+e.duration;else{var R="screenSpeed"in e?+e.screenSpeed/_:+e.speed;e.duration=1e3*z/R}return e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*z,d=1/I(i);a.zoom=1===e?u:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(c,p,e),g=a.centerPoint.add(m));var v=1===e?y:a.unproject(x.add(b.mult(O(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?v.wrap():v,g),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop()}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)<n&&(e-=360),Math.abs(e+360-r)<n&&(e+=360),e},r.prototype._normalizeCenter=function(t){var e=this.transform;if(e.renderWorldCopies&&!e.lngRange){var r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}},r}(t.Evented),bi=function(e){void 0===e&&(e={}),this.options=e,t.bindAll(["_updateEditLink","_updateData","_updateCompact"],this)};bi.prototype.getDefaultPosition=function(){return"bottom-right"},bi.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-attrib"),this._innerContainer=r.create("div","mapboxgl-ctrl-attrib-inner",this._container),e&&this._container.classList.add("mapboxgl-compact"),this._updateAttributions(),this._updateEditLink(),this._map.on("styledata",this._updateData),this._map.on("sourcedata",this._updateData),this._map.on("moveend",this._updateEditLink),void 0===e&&(this._map.on("resize",this._updateCompact),this._updateCompact()),this._container},bi.prototype.onRemove=function(){r.remove(this._container),this._map.off("styledata",this._updateData),this._map.off("sourcedata",this._updateData),this._map.off("moveend",this._updateEditLink),this._map.off("resize",this._updateCompact),this._map=void 0,this._attribHTML=void 0},bi.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(".mapbox-improve-map"));var r=[{key:"owner",value:this.styleOwner},{key:"id",value:this.styleId},{key:"access_token",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+"="+e.value+(n<r.length-1?"&":"")),t}),"?");e.href=t.config.FEEDBACK_URL+"/"+n+(this._map._hash?this._map._hash.getHashString(!0):""),e.rel="noopener nofollow"}},bi.prototype._updateData=function(t){!t||"metadata"!==t.sourceDataType&&"style"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},bi.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map((function(t){return"string"!=typeof t?"":t}))):"string"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){var e=this._map.style.stylesheet;this.styleOwner=e.owner,this.styleId=e.id}var r=this._map.style.sourceCaches;for(var n in r){var i=r[n];if(i.used){var a=i.getSource();a.attribution&&t.indexOf(a.attribution)<0&&t.push(a.attribution)}}t.sort((function(t,e){return t.length-e.length}));var o=(t=t.filter((function(e,r){for(var n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0}))).join(" | ");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove("mapboxgl-attrib-empty")):this._container.classList.add("mapboxgl-attrib-empty"),this._editLink=null)}},bi.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add("mapboxgl-compact"):this._container.classList.remove("mapboxgl-compact")};var _i=function(){t.bindAll(["_updateLogo"],this),t.bindAll(["_updateCompact"],this)};_i.prototype.onAdd=function(t){this._map=t,this._container=r.create("div","mapboxgl-ctrl");var e=r.create("a","mapboxgl-ctrl-logo");return e.target="_blank",e.rel="noopener nofollow",e.href="https://www.mapbox.com/",e.setAttribute("aria-label",this._map._getUIString("LogoControl.Title")),e.setAttribute("rel","noopener nofollow"),this._container.appendChild(e),this._container.style.display="none",this._map.on("sourcedata",this._updateLogo),this._updateLogo(),this._map.on("resize",this._updateCompact),this._updateCompact(),this._container},_i.prototype.onRemove=function(){r.remove(this._container),this._map.off("sourcedata",this._updateLogo),this._map.off("resize",this._updateCompact)},_i.prototype.getDefaultPosition=function(){return"bottom-left"},_i.prototype._updateLogo=function(t){t&&"metadata"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?"block":"none")},_i.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t){if(t[e].getSource().mapbox_logo)return!0}return!1}},_i.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add("mapboxgl-compact"):e.classList.remove("mapboxgl-compact")}};var wi=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};wi.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},wi.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;r<n.length;r+=1){var i=n[r];if(i.id===t)return void(i.cancelled=!0)}},wi.prototype.run=function(t){void 0===t&&(t=0);var e=this._currentlyRunning=this._queue;this._queue=[];for(var r=0,n=e;r<n.length;r+=1){var i=n[r];if(!i.cancelled&&(i.callback(t),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},wi.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Ti={"FullscreenControl.Enter":"Enter fullscreen","FullscreenControl.Exit":"Exit fullscreen","GeolocateControl.FindMyLocation":"Find my location","GeolocateControl.LocationNotAvailable":"Location not available","LogoControl.Title":"Mapbox logo","NavigationControl.ResetBearing":"Reset bearing to north","NavigationControl.ZoomIn":"Zoom in","NavigationControl.ZoomOut":"Zoom out","ScaleControl.Feet":"ft","ScaleControl.Meters":"m","ScaleControl.Kilometers":"km","ScaleControl.Miles":"mi","ScaleControl.NauticalMiles":"nm"},ki=t.window.HTMLImageElement,Ai=t.window.HTMLElement,Mi=t.window.ImageBitmap,Si={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:60,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,bearingSnap:7,clickTolerance:3,pitchWithRotate:!0,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:"sans-serif",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},Ei=function(n){function i(e){var r=this;if(null!=(e=t.extend({},Si,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error("maxZoom must be greater than or equal to minZoom");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error("maxPitch must be greater than or equal to minPitch");if(null!=e.minPitch&&e.minPitch<0)throw new Error("minPitch must be greater than or equal to 0");if(null!=e.maxPitch&&e.maxPitch>60)throw new Error("maxPitch must be less than or equal to 60");var i=new An(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new wi,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Ti,e.locale),this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),"string"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error("Container '"+e.container+"' not found.")}else{if(!(e.container instanceof Ai))throw new Error("Invalid type: 'container' must be a String or HTMLElement.");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll(["_onWindowOnline","_onWindowResize","_contextLost","_contextRestored"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error("Failed to initialize WebGL.");this.on("move",(function(){return r._update(!1)})),this.on("moveend",(function(){return r._update(!1)})),this.on("zoom",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener("online",this._onWindowOnline,!1),t.window.addEventListener("resize",this._onWindowResize,!1)),this.handlers=new yi(this,e);var a="string"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new Sn(a).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new bi({customAttribution:e.customAttribution})),this.addControl(new _i,e.logoPosition),this.on("style.load",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on("data",(function(e){r._update("style"===e.dataType),r.fire(new t.Event(e.dataType+"data",e))})),this.on("dataloading",(function(e){r.fire(new t.Event(e.dataType+"dataloading",e))}))}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&e.getDefaultPosition&&(r=e.getDefaultPosition()),void 0===r&&(r="top-right"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error("Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf("bottom")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error("Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event("movestart",e)).fire(new t.Event("move",e))),this.fire(new t.Event("resize",e)),a&&this.fire(new t.Event("moveend",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error("minZoom must be between -2 and the current maxZoom, inclusive")},i.prototype.getMinZoom=function(){return this.transform.minZoom},i.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error("maxZoom must be greater than the current minZoom")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error("minPitch must be greater than or equal to 0");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error("minPitch must be between 0 and the current maxPitch, inclusive")},i.prototype.getMinPitch=function(){return this.transform.minPitch},i.prototype.setMaxPitch=function(t){if((t=null==t?60:t)>60)throw new Error("maxPitch must be less than or equal to 60");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error("maxPitch must be greater than the current minPitch")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if("mouseenter"===t||"mouseover"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new Rn(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if("mouseleave"===t||"mouseout"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new Rn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Rn(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o<a.length;o++){var s=a[o];if(s.layer===e&&s.listener===r){for(var l in s.delegates)i.off(l,s.delegates[l]);return a.splice(o,1),i}}}(this._delegatedListeners),this},i.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return[];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||"number"==typeof e[0])n=[t.Point.convert(e)];else{var i=t.Point.convert(e[0]),a=t.Point.convert(e[1]);n=[i,new t.Point(a.x,i.y),a,new t.Point(i.x,a.y),i]}return this.style.queryRenderedFeatures(n,r,this.transform)},i.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},i.prototype.setStyle=function(e,r){return!1!==(r=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},i.prototype._getUIString=function(t){var e=this._locale[t];if(null==e)throw new Error("Missing UI string '"+t+"'");return e},i.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new qe(this,e||{}),this.style.setEventedParent(this,{style:this.style}),"string"==typeof t?this.style.loadURL(t):this.style.loadJSON(t),this):(delete this.style,this)},i.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new qe(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},i.prototype._diffStyle=function(e,r){var n=this;if("string"==typeof e){var i=this._requestManager.normalizeStyleURL(e),a=this._requestManager.transformRequest(i,t.ResourceType.Style);t.getJSON(a,(function(e,i){e?n.fire(new t.ErrorEvent(e)):i&&n._updateDiff(i,r)}))}else"object"==typeof e&&this._updateDiff(e,r)},i.prototype._updateDiff=function(e,r){try{this.style.setState(e)&&this._update(!0)}catch(n){t.warnOnce("Unable to perform style diff: "+(n.message||n.error||n)+".  Rebuilding the style from scratch."),this._updateStyle(e,r)}},i.prototype.getStyle=function(){if(this.style)return this.style.serialize()},i.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce("There is no style added to the map.")},i.prototype.addSource=function(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)},i.prototype.isSourceLoaded=function(e){var r=this.style&&this.style.sourceCaches[e];if(void 0!==r)return r.loaded();this.fire(new t.ErrorEvent(new Error("There is no source with ID '"+e+"'")))},i.prototype.areTilesLoaded=function(){var t=this.style&&this.style.sourceCaches;for(var e in t){var r=t[e]._tiles;for(var n in r){var i=r[n];if("loaded"!==i.state&&"errored"!==i.state)return!1}}return!0},i.prototype.addSourceType=function(t,e,r){return this._lazyInitEmptyStyle(),this.style.addSourceType(t,e,r)},i.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},i.prototype.getSource=function(t){return this.style.getSource(t)},i.prototype.addImage=function(e,r,n){void 0===n&&(n={});var i=n.pixelRatio;void 0===i&&(i=1);var a=n.sdf;void 0===a&&(a=!1);var o=n.stretchX,s=n.stretchY,l=n.content;this._lazyInitEmptyStyle();if(r instanceof ki||Mi&&r instanceof Mi){var c=t.browser.getImageData(r),u=c.width,f=c.height,h=c.data;this.style.addImage(e,{data:new t.RGBAImage({width:u,height:f},h),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0})}else{if(void 0===r.width||void 0===r.height)return this.fire(new t.ErrorEvent(new Error("Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`")));var p=r.width,d=r.height,m=r.data,g=r;this.style.addImage(e,{data:new t.RGBAImage({width:p,height:d},new Uint8Array(m)),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0,userImage:g}),g.onAdd&&g.onAdd(this,e)}},i.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error("The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.")));var i=r instanceof ki||Mi&&r instanceof Mi?t.browser.getImageData(r):r,a=i.width,o=i.height,s=i.data;if(void 0===a||void 0===o)return this.fire(new t.ErrorEvent(new Error("Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`")));if(a!==n.data.width||o!==n.data.height)return this.fire(new t.ErrorEvent(new Error("The width and height of the updated image must be that same as the previous version of the image")));var l=!(r instanceof ki||Mi&&r instanceof Mi);n.data.replace(s,l),this.style.updateImage(e,n)},i.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error("Missing required image id"))),!1)},i.prototype.removeImage=function(t){this.style.removeImage(t)},i.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},i.prototype.listImages=function(){return this.style.listImages()},i.prototype.addLayer=function(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)},i.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},i.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},i.prototype.getLayer=function(t){return this.style.getLayer(t)},i.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},i.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},i.prototype.getFilter=function(t){return this.style.getFilter(t)},i.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},i.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},i.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},i.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},i.prototype.setLight=function(t,e){return void 0===e&&(e={}),this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)},i.prototype.getLight=function(){return this.style.getLight()},i.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},i.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},i.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},i.prototype.getContainer=function(){return this._container},i.prototype.getCanvasContainer=function(){return this._canvasContainer},i.prototype.getCanvas=function(){return this._canvas},i.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},i.prototype._detectMissingCSS=function(){"rgb(250, 128, 114)"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue("background-color")&&t.warnOnce("This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.")},i.prototype._setupContainer=function(){var t=this._container;t.classList.add("mapboxgl-map"),(this._missingCSSCanary=r.create("div","mapboxgl-canary",t)).style.visibility="hidden",this._detectMissingCSS();var e=this._canvasContainer=r.create("div","mapboxgl-canvas-container",t);this._interactive&&e.classList.add("mapboxgl-interactive"),this._canvas=r.create("canvas","mapboxgl-canvas",e),this._canvas.addEventListener("webglcontextlost",this._contextLost,!1),this._canvas.addEventListener("webglcontextrestored",this._contextRestored,!1),this._canvas.setAttribute("tabindex","0"),this._canvas.setAttribute("aria-label","Map");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var i=this._controlContainer=r.create("div","mapboxgl-control-container",t),a=this._controlPositions={};["top-left","top-right","bottom-left","bottom-right"].forEach((function(t){a[t]=r.create("div","mapboxgl-ctrl-"+t,i)}))},i.prototype._resizeCanvas=function(e,r){var n=t.browser.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+"px",this._canvas.style.height=r+"px"},i.prototype._setupPainter=function(){var r=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),n=this._canvas.getContext("webgl",r)||this._canvas.getContext("experimental-webgl",r);n?(this.painter=new _n(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error("Failed to initialize WebGL")))},i.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event("webglcontextlost",{originalEvent:e}))},i.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event("webglcontextrestored",{originalEvent:e}))},i.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},i.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},i.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},i.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},i.prototype._render=function(e){var r,n=this,i=0,a=this.painter.context.extTimerQuery;if(this.listens("gpu-timing-frame")&&(r=a.createQueryEXT(),a.beginQueryEXT(a.TIME_ELAPSED_EXT,r),i=t.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(e),!this._removed){var o=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var s=this.transform.zoom,l=t.browser.now();this.style.zoomHistory.update(s,l);var c=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),u=c.crossFadingFactor();1===u&&u===this._crossFadingFactor||(o=!0,this._crossFadingFactor=u),this.style.update(c)}if(this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration,showPadding:this.showPadding,gpuTiming:!!this.listens("gpu-timing-layer")}),this.fire(new t.Event("render")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event("load"))),this.style&&(this.style.hasTransitions()||o)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens("gpu-timing-frame")){var f=t.browser.now()-i;a.endQueryEXT(a.TIME_ELAPSED_EXT,r),setTimeout((function(){var e=a.getQueryObjectEXT(r,a.QUERY_RESULT_EXT)/1e6;a.deleteQueryEXT(r),n.fire(new t.Event("gpu-timing-frame",{cpuTime:f,gpuTime:e}))}),50)}if(this.listens("gpu-timing-layer")){var h=this.painter.collectGpuTimers();setTimeout((function(){var e=n.painter.queryGpuTimers(h);n.fire(new t.Event("gpu-timing-layer",{layerTimes:e}))}),50)}return this._sourcesDirty||this._styleDirty||this._placementDirty||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&(this._fullyLoaded||(this._fullyLoaded=!0),this.fire(new t.Event("idle"))),this}},i.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1){r[e].onRemove(this)}this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener("resize",this._onWindowResize,!1),t.window.removeEventListener("online",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension("WEBGL_lose_context");n&&n.loseContext(),Li(this._canvasContainer),Li(this._controlContainer),Li(this._missingCSSCanary),this._container.classList.remove("mapboxgl-map"),this._removed=!0,this.fire(new t.Event("remove"))},i.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame((function(t){e._frame=null,e._render(t)})))},i.prototype._onWindowOnline=function(){this._update()},i.prototype._onWindowResize=function(t){this._trackResize&&this.resize({originalEvent:t})._update()},a.showTileBoundaries.get=function(){return!!this._showTileBoundaries},a.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},a.showPadding.get=function(){return!!this._showPadding},a.showPadding.set=function(t){this._showPadding!==t&&(this._showPadding=t,this._update())},a.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},a.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},a.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},a.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},a.repaint.get=function(){return!!this._repaint},a.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},a.vertices.get=function(){return!!this._vertices},a.vertices.set=function(t){this._vertices=t,this._update()},i.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},a.version.get=function(){return t.version},Object.defineProperties(i.prototype,a),i}(xi);function Li(t){t.parentNode&&t.parentNode.removeChild(t)}var Ci={showCompass:!0,showZoom:!0,visualizePitch:!1},Pi=function(e){var n=this;this.options=t.extend({},Ci,e),this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-group"),this._container.addEventListener("contextmenu",(function(t){return t.preventDefault()})),this.options.showZoom&&(t.bindAll(["_setButtonTitle","_updateZoomButtons"],this),this._zoomInButton=this._createButton("mapboxgl-ctrl-zoom-in",(function(t){return n._map.zoomIn({},{originalEvent:t})})),r.create("span","mapboxgl-ctrl-icon",this._zoomInButton).setAttribute("aria-hidden",!0),this._zoomOutButton=this._createButton("mapboxgl-ctrl-zoom-out",(function(t){return n._map.zoomOut({},{originalEvent:t})})),r.create("span","mapboxgl-ctrl-icon",this._zoomOutButton).setAttribute("aria-hidden",!0)),this.options.showCompass&&(t.bindAll(["_rotateCompassArrow"],this),this._compass=this._createButton("mapboxgl-ctrl-compass",(function(t){n.options.visualizePitch?n._map.resetNorthPitch({},{originalEvent:t}):n._map.resetNorth({},{originalEvent:t})})),this._compassIcon=r.create("span","mapboxgl-ctrl-icon",this._compass),this._compassIcon.setAttribute("aria-hidden",!0))};Pi.prototype._updateZoomButtons=function(){var t=this._map.getZoom();this._zoomInButton.disabled=t===this._map.getMaxZoom(),this._zoomOutButton.disabled=t===this._map.getMinZoom()},Pi.prototype._rotateCompassArrow=function(){var t=this.options.visualizePitch?"scale("+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+") rotateX("+this._map.transform.pitch+"deg) rotateZ("+this._map.transform.angle*(180/Math.PI)+"deg)":"rotate("+this._map.transform.angle*(180/Math.PI)+"deg)";this._compassIcon.style.transform=t},Pi.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,"ZoomIn"),this._setButtonTitle(this._zoomOutButton,"ZoomOut"),this._map.on("zoom",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,"ResetBearing"),this.options.visualizePitch&&this._map.on("pitch",this._rotateCompassArrow),this._map.on("rotate",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Ii(this._map,this._compass,this.options.visualizePitch)),this._container},Pi.prototype.onRemove=function(){r.remove(this._container),this.options.showZoom&&this._map.off("zoom",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off("pitch",this._rotateCompassArrow),this._map.off("rotate",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map},Pi.prototype._createButton=function(t,e){var n=r.create("button",t,this._container);return n.type="button",n.addEventListener("click",e),n},Pi.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString("NavigationControl."+e);t.title=r,t.setAttribute("aria-label",r)};var Ii=function(e,n,i){void 0===i&&(i=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new Xn({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,i&&(this.mousePitch=new Zn({clickTolerance:e.dragRotate._mousePitch._clickTolerance})),t.bindAll(["mousedown","mousemove","mouseup","touchstart","touchmove","touchend","reset"],this),r.addEventListener(n,"mousedown",this.mousedown),r.addEventListener(n,"touchstart",this.touchstart,{passive:!1}),r.addEventListener(n,"touchmove",this.touchmove),r.addEventListener(n,"touchend",this.touchend),r.addEventListener(n,"touchcancel",this.reset)};function Oi(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var i=new t.LngLat(e.lng-360,e.lat),a=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(i).distSqr(r)<o?e=i:n.locationPoint(a).distSqr(r)<o&&(e=a)}for(;Math.abs(e.lng-n.center.lng)>180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ii.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ii.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ii.prototype.off=function(){var t=this.element;r.removeEventListener(t,"mousedown",this.mousedown),r.removeEventListener(t,"touchstart",this.touchstart,{passive:!1}),r.removeEventListener(t,"touchmove",this.touchmove),r.removeEventListener(t,"touchend",this.touchend),r.removeEventListener(t,"touchcancel",this.reset),this.offTemp()},Ii.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,"mousemove",this.mousemove),r.removeEventListener(t.window,"mouseup",this.mouseup)},Ii.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,"mousemove",this.mousemove),r.addEventListener(t.window,"mouseup",this.mouseup)},Ii.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ii.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ii.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:"mousedown",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ii.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ii.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ii.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var zi={center:"translate(-50%,-50%)",top:"translate(-50%,0)","top-left":"translate(0,0)","top-right":"translate(-100%,0)",bottom:"translate(-50%,-100%)","bottom-left":"translate(0,-100%)","bottom-right":"translate(-100%,-100%)",left:"translate(0,-50%)",right:"translate(-100%,-50%)"};function Di(t,e,r){var n=t.classList;for(var i in zi)n.remove("mapboxgl-"+r+"-anchor-"+i);n.add("mapboxgl-"+r+"-anchor-"+e)}var Ri,Fi=function(e){function n(n,i){var a=this;if(e.call(this),(n instanceof t.window.HTMLElement||i)&&(n=t.extend({element:n},i)),t.bindAll(["_update","_onMove","_onUp","_addDragHandler","_onMapClick","_onKeyPress"],this),this._anchor=n&&n.anchor||"center",this._color=n&&n.color||"#3FB1CE",this._draggable=n&&n.draggable||!1,this._state="inactive",this._rotation=n&&n.rotation||0,this._rotationAlignment=n&&n.rotationAlignment||"auto",this._pitchAlignment=n&&n.pitchAlignment&&"auto"!==n.pitchAlignment?n.pitchAlignment:this._rotationAlignment,n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else{this._defaultMarker=!0,this._element=r.create("div"),this._element.setAttribute("aria-label","Map marker");var o=r.createNS("http://www.w3.org/2000/svg","svg");o.setAttributeNS(null,"display","block"),o.setAttributeNS(null,"height","41px"),o.setAttributeNS(null,"width","27px"),o.setAttributeNS(null,"viewBox","0 0 27 41");var s=r.createNS("http://www.w3.org/2000/svg","g");s.setAttributeNS(null,"stroke","none"),s.setAttributeNS(null,"stroke-width","1"),s.setAttributeNS(null,"fill","none"),s.setAttributeNS(null,"fill-rule","evenodd");var l=r.createNS("http://www.w3.org/2000/svg","g");l.setAttributeNS(null,"fill-rule","nonzero");var c=r.createNS("http://www.w3.org/2000/svg","g");c.setAttributeNS(null,"transform","translate(3.0, 29.0)"),c.setAttributeNS(null,"fill","#000000");for(var u=0,f=[{rx:"10.5",ry:"5.25002273"},{rx:"10.5",ry:"5.25002273"},{rx:"9.5",ry:"4.77275007"},{rx:"8.5",ry:"4.29549936"},{rx:"7.5",ry:"3.81822308"},{rx:"6.5",ry:"3.34094679"},{rx:"5.5",ry:"2.86367051"},{rx:"4.5",ry:"2.38636864"}];u<f.length;u+=1){var h=f[u],p=r.createNS("http://www.w3.org/2000/svg","ellipse");p.setAttributeNS(null,"opacity","0.04"),p.setAttributeNS(null,"cx","10.5"),p.setAttributeNS(null,"cy","5.80029008"),p.setAttributeNS(null,"rx",h.rx),p.setAttributeNS(null,"ry",h.ry),c.appendChild(p)}var d=r.createNS("http://www.w3.org/2000/svg","g");d.setAttributeNS(null,"fill",this._color);var m=r.createNS("http://www.w3.org/2000/svg","path");m.setAttributeNS(null,"d","M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z"),d.appendChild(m);var g=r.createNS("http://www.w3.org/2000/svg","g");g.setAttributeNS(null,"opacity","0.25"),g.setAttributeNS(null,"fill","#000000");var v=r.createNS("http://www.w3.org/2000/svg","path");v.setAttributeNS(null,"d","M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z"),g.appendChild(v);var y=r.createNS("http://www.w3.org/2000/svg","g");y.setAttributeNS(null,"transform","translate(6.0, 7.0)"),y.setAttributeNS(null,"fill","#FFFFFF");var x=r.createNS("http://www.w3.org/2000/svg","g");x.setAttributeNS(null,"transform","translate(8.0, 8.0)");var b=r.createNS("http://www.w3.org/2000/svg","circle");b.setAttributeNS(null,"fill","#000000"),b.setAttributeNS(null,"opacity","0.25"),b.setAttributeNS(null,"cx","5.5"),b.setAttributeNS(null,"cy","5.5"),b.setAttributeNS(null,"r","5.4999962");var _=r.createNS("http://www.w3.org/2000/svg","circle");_.setAttributeNS(null,"fill","#FFFFFF"),_.setAttributeNS(null,"cx","5.5"),_.setAttributeNS(null,"cy","5.5"),_.setAttributeNS(null,"r","5.4999962"),x.appendChild(b),x.appendChild(_),l.appendChild(c),l.appendChild(d),l.appendChild(g),l.appendChild(y),l.appendChild(x),o.appendChild(l),this._element.appendChild(o),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add("mapboxgl-marker"),this._element.addEventListener("dragstart",(function(t){t.preventDefault()})),this._element.addEventListener("mousedown",(function(t){t.preventDefault()})),this._element.addEventListener("focus",(function(){var t=a._map.getContainer();t.scrollTop=0,t.scrollLeft=0})),Di(this._element,this._anchor,"marker"),this._popup=null}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on("move",this._update),t.on("moveend",this._update),this.setDraggable(this._draggable),this._update(),this._map.on("click",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off("click",this._onMapClick),this._map.off("move",this._update),this._map.off("moveend",this._update),this._map.off("mousedown",this._addDragHandler),this._map.off("touchstart",this._addDragHandler),this._map.off("mouseup",this._onUp),this._map.off("touchend",this._onUp),this._map.off("mousemove",this._onMove),this._map.off("touchmove",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener("keypress",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute("tabindex")),t){if(!("offset"in t.options)){var e=Math.sqrt(Math.pow(13.5,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],"top-left":[0,0],"top-right":[0,0],bottom:[0,-38.1],"bottom-left":[e,-1*(24.6+e)],"bottom-right":[-e,-1*(24.6+e)],left:[13.5,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute("tabindex"),this._originalTabIndex||this._element.setAttribute("tabindex","0"),this._element.addEventListener("keypress",this._onKeyPress)}return this},n.prototype._onKeyPress=function(t){var e=t.code,r=t.charCode||t.keyCode;"Space"!==e&&"Enter"!==e&&32!==r&&13!==r||this.togglePopup()},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=Oi(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var e="";"viewport"===this._rotationAlignment||"auto"===this._rotationAlignment?e="rotateZ("+this._rotation+"deg)":"map"===this._rotationAlignment&&(e="rotateZ("+(this._rotation-this._map.getBearing())+"deg)");var n="";"viewport"===this._pitchAlignment||"auto"===this._pitchAlignment?n="rotateX(0deg)":"map"===this._pitchAlignment&&(n="rotateX("+this._map.getPitch()+"deg)"),t&&"moveend"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,zi[this._anchor]+" translate("+this._pos.x+"px, "+this._pos.y+"px) "+n+" "+e)}},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents="none","pending"===this._state&&(this._state="active",this.fire(new t.Event("dragstart"))),this.fire(new t.Event("drag"))},n.prototype._onUp=function(){this._element.style.pointerEvents="auto",this._positionDelta=null,this._map.off("mousemove",this._onMove),this._map.off("touchmove",this._onMove),"active"===this._state&&this.fire(new t.Event("dragend")),this._state="inactive"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._state="pending",this._map.on("mousemove",this._onMove),this._map.on("touchmove",this._onMove),this._map.once("mouseup",this._onUp),this._map.once("touchend",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on("mousedown",this._addDragHandler),this._map.on("touchstart",this._addDragHandler)):(this._map.off("mousedown",this._addDragHandler),this._map.off("touchstart",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||"auto",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&"auto"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Bi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Ni=0,ji=!1,Ui=function(e){function n(r){e.call(this),this.options=t.extend({},Bi,r),t.bindAll(["_onSuccess","_onError","_onZoom","_finish","_setupUI","_updateCamera","_updateMarker"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.onAdd=function(e){var n;return this._map=e,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-group"),n=this._setupUI,void 0!==Ri?n(Ri):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:"geolocation"}).then((function(t){Ri="denied"!==t.state,n(Ri)})):(Ri=!!t.window.navigator.geolocation,n(Ri)),this._container},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off("zoom",this._onZoom),this._map=void 0,Ni=0,ji=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitude<e.getWest()||r.longitude>e.getEast()||r.latitude<e.getSouth()||r.latitude>e.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case"WAITING_ACTIVE":this._watchState="ACTIVE_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error");break;case"ACTIVE_LOCK":this._watchState="ACTIVE_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting");break;case"BACKGROUND":this._watchState="BACKGROUND_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event("outofmaxbounds",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case"WAITING_ACTIVE":case"ACTIVE_LOCK":case"ACTIVE_ERROR":this._watchState="ACTIVE_LOCK",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"BACKGROUND":case"BACKGROUND_ERROR":this._watchState="BACKGROUND",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background")}this.options.showUserLocation&&"OFF"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&"ACTIVE_LOCK"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove("mapboxgl-user-location-dot-stale"),this.fire(new t.Event("geolocate",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+"px",this._circleElement.style.height=i+"px"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState="OFF",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.disabled=!0;var r=this._map._getUIString("GeolocateControl.LocationNotAvailable");this._geolocateButton.title=r,this._geolocateButton.setAttribute("aria-label",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&ji)return;this._setErrorState()}"OFF"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add("mapboxgl-user-location-dot-stale"),this.fire(new t.Event("error",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener("contextmenu",(function(t){return t.preventDefault()})),this._geolocateButton=r.create("button","mapboxgl-ctrl-geolocate",this._container),r.create("span","mapboxgl-ctrl-icon",this._geolocateButton).setAttribute("aria-hidden",!0),this._geolocateButton.type="button",!1===e){t.warnOnce("Geolocation support is not available so the GeolocateControl will be disabled.");var i=this._map._getUIString("GeolocateControl.LocationNotAvailable");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute("aria-label",i)}else{var a=this._map._getUIString("GeolocateControl.FindMyLocation");this._geolocateButton.title=a,this._geolocateButton.setAttribute("aria-label",a)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute("aria-pressed","false"),this._watchState="OFF"),this.options.showUserLocation&&(this._dotElement=r.create("div","mapboxgl-user-location-dot"),this._userLocationDotMarker=new Fi(this._dotElement),this._circleElement=r.create("div","mapboxgl-user-location-accuracy-circle"),this._accuracyCircleMarker=new Fi({element:this._circleElement,pitchAlignment:"map"}),this.options.trackUserLocation&&(this._watchState="OFF"),this._map.on("zoom",this._onZoom)),this._geolocateButton.addEventListener("click",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on("movestart",(function(e){var r=e.originalEvent&&"resize"===e.originalEvent.type;e.geolocateSource||"ACTIVE_LOCK"!==n._watchState||r||(n._watchState="BACKGROUND",n._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background"),n._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),n.fire(new t.Event("trackuserlocationend")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce("Geolocate control triggered before added to a map"),!1;if(this.options.trackUserLocation){switch(this._watchState){case"OFF":this._watchState="WAITING_ACTIVE",this.fire(new t.Event("trackuserlocationstart"));break;case"WAITING_ACTIVE":case"ACTIVE_LOCK":case"ACTIVE_ERROR":case"BACKGROUND_ERROR":Ni--,ji=!1,this._watchState="OFF",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this.fire(new t.Event("trackuserlocationend"));break;case"BACKGROUND":this._watchState="ACTIVE_LOCK",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event("trackuserlocationstart"))}switch(this._watchState){case"WAITING_ACTIVE":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"ACTIVE_LOCK":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"ACTIVE_ERROR":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error");break;case"BACKGROUND":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background");break;case"BACKGROUND_ERROR":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background-error")}if("OFF"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.setAttribute("aria-pressed","true"),++Ni>1?(e={maximumAge:6e5,timeout:0},ji=!0):(e=this.options.positionOptions,ji=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.setAttribute("aria-pressed","false"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Vi={maxWidth:100,unit:"metric"},Hi=function(e){this.options=t.extend({},Vi,e),t.bindAll(["_onMove","setUnit"],this)};function qi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&"imperial"===r.unit){var l=3.2808*s;if(l>5280)Gi(e,n,l/5280,t._getUIString("ScaleControl.Miles"));else Gi(e,n,l,t._getUIString("ScaleControl.Feet"))}else if(r&&"nautical"===r.unit){Gi(e,n,s/1852,t._getUIString("ScaleControl.NauticalMiles"))}else s>=1e3?Gi(e,n,s/1e3,t._getUIString("ScaleControl.Kilometers")):Gi(e,n,s,t._getUIString("ScaleControl.Meters"))}function Gi(t,e,r,n){var i,a,o,s=(i=r,a=Math.pow(10,(""+Math.floor(i)).length-1),o=(o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o),a*o),l=s/r;t.style.width=e*l+"px",t.innerHTML=s+"&nbsp;"+n}Hi.prototype.getDefaultPosition=function(){return"bottom-left"},Hi.prototype._onMove=function(){qi(this._map,this._container,this.options)},Hi.prototype.onAdd=function(t){return this._map=t,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-scale",t.getContainer()),this._map.on("move",this._onMove),this._onMove(),this._container},Hi.prototype.onRemove=function(){r.remove(this._container),this._map.off("move",this._onMove),this._map=void 0},Hi.prototype.setUnit=function(t){this.options.unit=t,qi(this._map,this._container,this.options)};var Yi=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce("Full screen control 'container' must be a DOM element.")),t.bindAll(["_onClickFullscreen","_changeIcon"],this),"onfullscreenchange"in t.window.document?this._fullscreenchange="fullscreenchange":"onmozfullscreenchange"in t.window.document?this._fullscreenchange="mozfullscreenchange":"onwebkitfullscreenchange"in t.window.document?this._fullscreenchange="webkitfullscreenchange":"onmsfullscreenchange"in t.window.document&&(this._fullscreenchange="MSFullscreenChange")};Yi.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-group"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display="none",t.warnOnce("This device does not support fullscreen mode.")),this._controlContainer},Yi.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},Yi.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},Yi.prototype._setupUI=function(){var e=this._fullscreenButton=r.create("button","mapboxgl-ctrl-fullscreen",this._controlContainer);r.create("span","mapboxgl-ctrl-icon",e).setAttribute("aria-hidden",!0),e.type="button",this._updateTitle(),this._fullscreenButton.addEventListener("click",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},Yi.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute("aria-label",t),this._fullscreenButton.title=t},Yi.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?"FullscreenControl.Exit":"FullscreenControl.Enter")},Yi.prototype._isFullscreen=function(){return this._fullscreen},Yi.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle("mapboxgl-ctrl-shrink"),this._fullscreenButton.classList.toggle("mapboxgl-ctrl-fullscreen"),this._updateTitle())},Yi.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var Wi={closeButton:!0,closeOnClick:!0,className:"",maxWidth:"240px"},Xi=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(Wi),r),t.bindAll(["_update","_onClose","remove","_onMouseMove","_onMouseUp","_onDrag"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on("click",this._onClose),this.options.closeOnMove&&this._map.on("move",this._onClose),this._map.on("remove",this.remove),this._update(),this._trackPointer?(this._map.on("mousemove",this._onMouseMove),this._map.on("mouseup",this._onMouseUp),this._container&&this._container.classList.add("mapboxgl-popup-track-pointer"),this._map._canvasContainer.classList.add("mapboxgl-track-pointer")):this._map.on("move",this._update),this.fire(new t.Event("open")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off("move",this._update),this._map.off("move",this._onClose),this._map.off("click",this._onClose),this._map.off("remove",this.remove),this._map.off("mousemove",this._onMouseMove),this._map.off("mouseup",this._onMouseUp),this._map.off("drag",this._onDrag),delete this._map),this.fire(new t.Event("close")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on("move",this._update),this._map.off("mousemove",this._onMouseMove),this._container&&this._container.classList.remove("mapboxgl-popup-track-pointer"),this._map._canvasContainer.classList.remove("mapboxgl-track-pointer")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off("move",this._update),this._map.on("mousemove",this._onMouseMove),this._map.on("drag",this._onDrag),this._container&&this._container.classList.add("mapboxgl-popup-track-pointer"),this._map._canvasContainer.classList.add("mapboxgl-track-pointer")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),i=t.window.document.createElement("body");for(i.innerHTML=e;r=i.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){return this._createContent(),this._content.appendChild(t),this._update(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createContent=function(){this._content&&r.remove(this._content),this._content=r.create("div","mapboxgl-popup-content",this._container),this.options.closeButton&&(this._closeButton=r.create("button","mapboxgl-popup-close-button",this._content),this._closeButton.type="button",this._closeButton.setAttribute("aria-label","Close popup"),this._closeButton.innerHTML="&#215;",this._closeButton.addEventListener("click",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(e){var n=this,i=this._lngLat||this._trackPointer;if(this._map&&i&&this._content&&(this._container||(this._container=r.create("div","mapboxgl-popup",this._map.getContainer()),this._tip=r.create("div","mapboxgl-popup-tip",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(" ").forEach((function(t){return n._container.classList.add(t)})),this._trackPointer&&this._container.classList.add("mapboxgl-popup-track-pointer")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=Oi(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||e)){var a=this._pos=this._trackPointer&&e?e:this._map.project(this._lngLat),o=this.options.anchor,s=function e(r){if(r){if("number"==typeof r){var n=Math.round(Math.sqrt(.5*Math.pow(r,2)));return{center:new t.Point(0,0),top:new t.Point(0,r),"top-left":new t.Point(n,n),"top-right":new t.Point(-n,n),bottom:new t.Point(0,-r),"bottom-left":new t.Point(n,-n),"bottom-right":new t.Point(-n,-n),left:new t.Point(r,0),right:new t.Point(-r,0)}}if(r instanceof t.Point||Array.isArray(r)){var i=t.Point.convert(r);return{center:i,top:i,"top-left":i,"top-right":i,bottom:i,"bottom-left":i,"bottom-right":i,left:i,right:i}}return{center:t.Point.convert(r.center||[0,0]),top:t.Point.convert(r.top||[0,0]),"top-left":t.Point.convert(r["top-left"]||[0,0]),"top-right":t.Point.convert(r["top-right"]||[0,0]),bottom:t.Point.convert(r.bottom||[0,0]),"bottom-left":t.Point.convert(r["bottom-left"]||[0,0]),"bottom-right":t.Point.convert(r["bottom-right"]||[0,0]),left:t.Point.convert(r.left||[0,0]),right:t.Point.convert(r.right||[0,0])}}return e(new t.Point(0,0))}(this.options.offset);if(!o){var l,c=this._container.offsetWidth,u=this._container.offsetHeight;l=a.y+s.bottom.y<u?["top"]:a.y>this._map.transform.height-u?["bottom"]:[],a.x<c/2?l.push("left"):a.x>this._map.transform.width-c/2&&l.push("right"),o=0===l.length?"bottom":l.join("-")}var f=a.add(s[o]).round();r.setTransform(this._container,zi[o]+" translate("+f.x+"px,"+f.y+"px)"),Di(this._container,o,"popup")}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);var Zi={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Ei,NavigationControl:Pi,GeolocateControl:Ui,AttributionControl:bi,ScaleControl:Hi,FullscreenControl:Yi,Popup:Xi,Marker:Fi,Style:qe,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){Bt().acquire(zt)},clearPrewarmedResources:function(){var t=Rt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(zt),Rt=null):console.warn("Could not clear WebWorkers since there are active Map instances that still reference it. 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-/*
- * @copyright 2016 Sean Connelly (@voidqk), http://syntheti.cc
- * @license MIT
- * @preserve Project Home: https://github.com/voidqk/polybooljs
- */
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t[e+3]|t[e+2]<<8|t[e+1]<<16|16777216*t[e]},o.prototype=Object.create(Error.prototype),o.prototype.constructor=o,r.ProbeError=o},{stream:280,"stream-parser":295}],258:[function(t,e,r){"use strict";function n(t,e){var r=new Error(t);return r.code=e,r}function i(t){try{return decodeURIComponent(escape(t))}catch(e){return t}}function a(t,e,r){this.input=t.subarray(e,r),this.start=e;var i=String.fromCharCode.apply(null,this.input.subarray(0,4));if("II*\0"!==i&&"MM\0*"!==i)throw n("invalid TIFF signature","EBADDATA");this.big_endian="M"===i[0]}a.prototype.each=function(t){this.aborted=!1;var e=this.read_uint32(4);for(this.ifds_to_read=[{id:0,offset:e}];this.ifds_to_read.length>0&&!this.aborted;){var r=this.ifds_to_read.shift();r.offset&&this.scan_ifd(r.id,r.offset,t)}},a.prototype.read_uint16=function(t){var e=this.input;if(t+2>e.length)throw n("unexpected EOF","EBADDATA");return this.big_endian?256*e[t]+e[t+1]:e[t]+256*e[t+1]},a.prototype.read_uint32=function(t){var e=this.input;if(t+4>e.length)throw n("unexpected EOF","EBADDATA");return this.big_endian?16777216*e[t]+65536*e[t+1]+256*e[t+2]+e[t+3]:e[t]+256*e[t+1]+65536*e[t+2]+16777216*e[t+3]},a.prototype.is_subifd_link=function(t,e){return 0===t&&34665===e||0===t&&34853===e||34665===t&&40965===e},a.prototype.exif_format_length=function(t){switch(t){case 1:case 2:case 6:case 7:return 1;case 3:case 8:return 2;case 4:case 9:case 11:return 4;case 5:case 10:case 12:return 8;default:return 0}},a.prototype.exif_format_read=function(t,e){var r;switch(t){case 1:case 2:return r=this.input[e];case 6:return(r=this.input[e])|33554430*(128&r);case 3:return r=this.read_uint16(e);case 8:return(r=this.read_uint16(e))|131070*(32768&r);case 4:return r=this.read_uint32(e);case 9:return 0|(r=this.read_uint32(e));case 5:case 10:case 11:case 12:case 7:default:return null}},a.prototype.scan_ifd=function(t,e,r){var a=this.read_uint16(e);e+=2;for(var o=0;o<a;o++){var s=this.read_uint16(e),l=this.read_uint16(e+2),c=this.read_uint32(e+4),u=this.exif_format_length(l),f=c*u,h=f<=4?e+8:this.read_uint32(e+8),p=!1;if(h+f>this.input.length)throw n("unexpected EOF","EBADDATA");for(var d=[],m=h,g=0;g<c;g++,m+=u){var v=this.exif_format_read(l,m);if(null===v){d=null;break}d.push(v)}if(Array.isArray(d)&&2===l&&(d=i(String.fromCharCode.apply(null,d)))&&"\0"===d[d.length-1]&&(d=d.slice(0,-1)),this.is_subifd_link(t,s)&&Array.isArray(d)&&Number.isInteger(d[0])&&d[0]>0&&(this.ifds_to_read.push({id:s,offset:d[0]}),p=!0),!1===r({is_big_endian:this.big_endian,ifd:t,tag:s,format:l,count:c,entry_offset:e+this.start,data_length:f,data_offset:h+this.start,value:d,is_subifd_link:p}))return void(this.aborted=!0);e+=12}0===t&&this.ifds_to_read.push({id:1,offset:this.read_uint32(e)})},e.exports.ExifParser=a,e.exports.get_orientation=function(t){var e=0;try{return new a(t,0,t.length).each((function(t){if(0===t.ifd&&274===t.tag&&Array.isArray(t.value))return e=t.value[0],!1})),e}catch(t){return-1}}},{}],259:[function(t,e,r){"use strict";var n=t("./common").readUInt16BE,i=t("./common").readUInt32BE;function a(t,e){if(t.length<4+e)return null;var r=i(t,e);return t.length<r+e||r<8?null:{boxtype:String.fromCharCode.apply(null,t.slice(e+4,e+8)),data:t.slice(e+8,e+r),end:e+r}}function o(t,e){for(var r=0;;){var n=a(t,r);if(!n)break;switch(n.boxtype){case"ispe":e.sizes.push({width:i(n.data,4),height:i(n.data,8)});break;case"irot":e.transforms.push({type:"irot",value:3&n.data[0]});break;case"imir":e.transforms.push({type:"imir",value:1&n.data[0]})}r=n.end}}function s(t,e,r){for(var n=0,i=0;i<r;i++)n=256*n+(t[e+i]||0);return n}function l(t,e){for(var r=t[4]>>4&15,i=15&t[4],a=t[5]>>4&15,o=n(t,6),l=8,c=0;c<o;c++){var u=n(t,l),f=n(t,l+=2),h=s(t,l+=2,a),p=n(t,l+=a);if(l+=2,0===f&&1===p){var d=s(t,l,r),m=s(t,l+r,i);e.item_loc[u]={length:m,offset:d+h}}l+=p*(r+i)}}function c(t,e){for(var r=n(t,4),i=6,o=0;o<r;o++){var s=a(t,i);if(!s)break;if("infe"===s.boxtype){for(var l=n(s.data,4),c="",u=8;u<s.data.length&&s.data[u];u++)c+=String.fromCharCode(s.data[u]);e.item_inf[c]=l}i=s.end}}function u(t,e){for(var r=0;;){var n=a(t,r);if(!n)break;"ipco"===n.boxtype&&o(n.data,e),r=n.end}}e.exports.unbox=a,e.exports.readSizeFromMeta=function(t){var e={sizes:[],transforms:[],item_inf:{},item_loc:{}};if(function(t,e){for(var r=4;;){var n=a(t,r);if(!n)break;"iprp"===n.boxtype&&u(n.data,e),"iloc"===n.boxtype&&l(n.data,e),"iinf"===n.boxtype&&c(n.data,e),r=n.end}}(t,e),e.sizes.length){var r,n,i,o=(r=e.sizes,n=r.reduce((function(t,e){return t.width>e.width||t.width===e.width&&t.height>e.height?t:e})),i=r.reduce((function(t,e){return t.height>e.height||t.height===e.height&&t.width>e.width?t:e})),n.width>i.height||n.width===i.height&&n.height>i.width?n:i),s=1;e.transforms.forEach((function(t){var e={1:6,2:5,3:8,4:7,5:4,6:3,7:2,8:1},r={1:4,2:3,3:2,4:1,5:6,6:5,7:8,8:7};if("imir"===t.type&&(s=0===t.value?r[s]:e[s=e[s=r[s]]]),"irot"===t.type)for(var n=0;n<t.value;n++)s=e[s]}));var f=null;return e.item_inf.Exif&&(f=e.item_loc[e.item_inf.Exif]),{width:o.width,height:o.height,orientation:e.transforms.length?s:null,variants:e.sizes,exif_location:f}}},e.exports.getMimeType=function(t){var e=String.fromCharCode.apply(null,t.slice(0,4)),r={};r[e]=!0;for(var n=8;n<t.length;n+=4)r[String.fromCharCode.apply(null,t.slice(n,n+4))]=!0;if(r.mif1||r.msf1||r.miaf)return"avif"===e||"avis"===e||"avio"===e?{type:"avif",mime:"image/avif"}:"heic"===e||"heix"===e?{type:"heic",mime:"image/heic"}:"hevc"===e||"hevx"===e?{type:"heic",mime:"image/heic-sequence"}:r.avif||r.avis?{type:"avif",mime:"image/avif"}:r.heic||r.heix||r.hevc||r.hevx||r.heis?r.msf1?{type:"heif",mime:"image/heif-sequence"}:{type:"heif",mime:"image/heif"}:{type:"avif",mime:"image/avif"}}},{"./common":257}],260:[function(t,e,r){"use strict";var n=t("../common").str2arr,i=t("../common").sliceEq,a=t("../common").readUInt32BE,o=t("../miaf_utils"),s=t("../exif_utils"),l=n("ftyp");e.exports=function(t){if(i(t,4,l)){var e=o.unbox(t,0);if(e){var r=o.getMimeType(e.data);if(r){for(var n,c=e.end;;){var u=o.unbox(t,c);if(!u)break;if(c=u.end,"mdat"===u.boxtype)return;if("meta"===u.boxtype){n=u.data;break}}if(n){var f=o.readSizeFromMeta(n);if(f){var h={width:f.width,height:f.height,type:r.type,mime:r.mime,wUnits:"px",hUnits:"px"};if(f.variants.length>1&&(h.variants=f.variants),f.orientation&&(h.orientation=f.orientation),f.exif_location&&f.exif_location.offset+f.exif_location.length<=t.length){var p=a(t,f.exif_location.offset),d=t.slice(f.exif_location.offset+p+4,f.exif_location.offset+f.exif_location.length),m=s.get_orientation(d);m>0&&(h.orientation=m)}return h}}}}}}},{"../common":257,"../exif_utils":258,"../miaf_utils":259}],261:[function(t,e,r){"use strict";var n=t("../common").str2arr,i=t("../common").sliceEq,a=t("../common").readUInt16LE,o=n("BM");e.exports=function(t){if(!(t.length<26)&&i(t,0,o))return{width:a(t,18),height:a(t,22),type:"bmp",mime:"image/bmp",wUnits:"px",hUnits:"px"}}},{"../common":257}],262:[function(t,e,r){"use strict";var n=t("../common").str2arr,i=t("../common").sliceEq,a=t("../common").readUInt16LE,o=n("GIF87a"),s=n("GIF89a");e.exports=function(t){if(!(t.length<10)&&(i(t,0,o)||i(t,0,s)))return{width:a(t,6),height:a(t,8),type:"gif",mime:"image/gif",wUnits:"px",hUnits:"px"}}},{"../common":257}],263:[function(t,e,r){"use strict";var n=t("../common").readUInt16LE;e.exports=function(t){var e=n(t,0),r=n(t,2),i=n(t,4);if(0===e&&1===r&&i){for(var a=[],o={width:0,height:0},s=0;s<i;s++){var l=t[6+16*s]||256,c=t[6+16*s+1]||256,u={width:l,height:c};a.push(u),(l>o.width||c>o.height)&&(o=u)}return{width:o.width,height:o.height,variants:a,type:"ico",mime:"image/x-icon",wUnits:"px",hUnits:"px"}}}},{"../common":257}],264:[function(t,e,r){"use strict";var n=t("../common").readUInt16BE,i=t("../common").str2arr,a=t("../common").sliceEq,o=t("../exif_utils"),s=i("Exif\0\0");e.exports=function(t){if(!(t.length<2)&&255===t[0]&&216===t[1]&&255===t[2])for(var e=2;;){for(;;){if(t.length-e<2)return;if(255===t[e++])break}for(var r,i,l=t[e++];255===l;)l=t[e++];if(208<=l&&l<=217||1===l)r=0;else{if(!(192<=l&&l<=254))return;if(t.length-e<2)return;r=n(t,e)-2,e+=2}if(217===l||218===l)return;if(225===l&&r>=10&&a(t,e,s)&&(i=o.get_orientation(t.slice(e+6,e+r))),r>=5&&192<=l&&l<=207&&196!==l&&200!==l&&204!==l){if(t.length-e<r)return;var c={width:n(t,e+3),height:n(t,e+1),type:"jpg",mime:"image/jpeg",wUnits:"px",hUnits:"px"};return i>0&&(c.orientation=i),c}e+=r}}},{"../common":257,"../exif_utils":258}],265:[function(t,e,r){"use strict";var n=t("../common").str2arr,i=t("../common").sliceEq,a=t("../common").readUInt32BE,o=n("\x89PNG\r\n\x1a\n"),s=n("IHDR");e.exports=function(t){if(!(t.length<24)&&i(t,0,o)&&i(t,12,s))return{width:a(t,16),height:a(t,20),type:"png",mime:"image/png",wUnits:"px",hUnits:"px"}}},{"../common":257}],266:[function(t,e,r){"use strict";var n=t("../common").str2arr,i=t("../common").sliceEq,a=t("../common").readUInt32BE,o=n("8BPS\0\x01");e.exports=function(t){if(!(t.length<22)&&i(t,0,o))return{width:a(t,18),height:a(t,14),type:"psd",mime:"image/vnd.adobe.photoshop",wUnits:"px",hUnits:"px"}}},{"../common":257}],267:[function(t,e,r){"use strict";function n(t){return"number"==typeof t&&isFinite(t)&&t>0}var 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thickness * normal * .5 * lineOffset / viewport.zw;\n\n\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\n\n\tfragColor = color / 255.;\n}\n"]),frag:o(["precision highp float;\n#define GLSLIFY 1\n\nuniform float dashLength, pixelRatio, thickness, opacity, id;\nuniform sampler2D dashTexture;\n\nvarying vec4 fragColor;\nvarying vec2 tangent;\n\nvoid main() {\n\tfloat alpha = 1.;\n\n\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\n\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\n\n\tgl_FragColor = fragColor;\n\tgl_FragColor.a *= alpha * opacity * dash;\n}\n"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:t.prop("positionFractBuffer"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:t.prop("positionFractBuffer"),stride:8,offset:16,divisor:1},color:{buffer:t.prop("colorBuffer"),stride:4,offset:0,divisor:1}}},n));try{e=t(a({cull:{enable:!0,face:"back"},vert:o(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec2 aCoord, bCoord, nextCoord, prevCoord;\nattribute vec4 aColor, bColor;\nattribute float lineEnd, lineTop;\n\nuniform vec2 scale, translate;\nuniform float thickness, pixelRatio, id, depth;\nuniform vec4 viewport;\nuniform float miterLimit, miterMode;\n\nvarying vec4 fragColor;\nvarying vec4 startCutoff, endCutoff;\nvarying vec2 tangent;\nvarying vec2 startCoord, endCoord;\nvarying float enableStartMiter, enableEndMiter;\n\nconst float REVERSE_THRESHOLD = -.875;\nconst float MIN_DIFF = 1e-6;\n\n// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\n// TODO: precalculate dot products, normalize things beforehead etc.\n// TODO: refactor to rectangular algorithm\n\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\n\tvec2 diff = b - a;\n\tvec2 perp = normalize(vec2(-diff.y, diff.x));\n\treturn dot(p - a, perp);\n}\n\nbool isNaN( float val ){\n  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\n}\n\nvoid main() {\n\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\n\n  vec2 adjustedScale;\n  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\n  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\n\n  vec2 scaleRatio = adjustedScale * viewport.zw;\n\tvec2 normalWidth = thickness / scaleRatio;\n\n\tfloat lineStart = 1. - lineEnd;\n\tfloat lineBot = 1. - lineTop;\n\n\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\n\n\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\n\n\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\n\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\n\n\tvec2 prevDiff = aCoord - prevCoord;\n\tvec2 currDiff = bCoord - aCoord;\n\tvec2 nextDiff = nextCoord - bCoord;\n\n\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\n\tvec2 currTangent = normalize(currDiff * scaleRatio);\n\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\n\n\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\n\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\n\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\n\n\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\n\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\n\n\t// collapsed/unidirectional segment cases\n\t// FIXME: there should be more elegant solution\n\tvec2 prevTanDiff = abs(prevTangent - currTangent);\n\tvec2 nextTanDiff = abs(nextTangent - currTangent);\n\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\n\t\tstartJoinDirection = currNormal;\n\t}\n\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\n\t\tendJoinDirection = currNormal;\n\t}\n\tif (aCoord == bCoord) {\n\t\tendJoinDirection = startJoinDirection;\n\t\tcurrNormal = prevNormal;\n\t\tcurrTangent = prevTangent;\n\t}\n\n\ttangent = currTangent;\n\n\t//calculate join shifts relative to normals\n\tfloat startJoinShift = dot(currNormal, startJoinDirection);\n\tfloat endJoinShift = dot(currNormal, endJoinDirection);\n\n\tfloat startMiterRatio = abs(1. / startJoinShift);\n\tfloat endMiterRatio = abs(1. / endJoinShift);\n\n\tvec2 startJoin = startJoinDirection * startMiterRatio;\n\tvec2 endJoin = endJoinDirection * endMiterRatio;\n\n\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\n\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\n\tstartBotJoin = -startTopJoin;\n\n\tendTopJoin = sign(endJoinShift) * endJoin * .5;\n\tendBotJoin = -endTopJoin;\n\n\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\n\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\n\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\n\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\n\n\t//miter anti-clipping\n\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\n\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\n\n\t//prevent close to reverse direction switch\n\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\n\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\n\n\tif (prevReverse) {\n\t\t//make join rectangular\n\t\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\n\t\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\n\t\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\n\t\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\n\t}\n\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\n\t\t//handle miter clipping\n\t\tbTopCoord -= normalWidth * endTopJoin;\n\t\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\n\t}\n\n\tif (nextReverse) {\n\t\t//make join rectangular\n\t\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\n\t\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\n\t\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\n\t\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\n\t}\n\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\n\t\t//handle miter clipping\n\t\taBotCoord -= normalWidth * startBotJoin;\n\t\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\n\t}\n\n\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\n\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\n\n\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\n\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\n\n\t//position is normalized 0..1 coord on the screen\n\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\n\n\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\n\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\n\n\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\n\n\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\n\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\n\n\t//bevel miter cutoffs\n\tif (miterMode == 1.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\n\t\t\tstartCutoff = vec4(aCoord, aCoord);\n\t\t\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\n\t\t\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tstartCutoff += viewport.xyxy;\n\t\t\tstartCutoff += startMiterWidth.xyxy;\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\n\t\t\tendCutoff = vec4(bCoord, bCoord);\n\t\t\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\n\t\t\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tendCutoff += viewport.xyxy;\n\t\t\tendCutoff += endMiterWidth.xyxy;\n\t\t}\n\t}\n\n\t//round miter cutoffs\n\telse if (miterMode == 2.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\n\t\t\tstartCutoff = vec4(aCoord, aCoord);\n\t\t\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\n\t\t\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tstartCutoff += viewport.xyxy;\n\t\t\tstartCutoff += startMiterWidth.xyxy;\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\n\t\t\tendCutoff = vec4(bCoord, bCoord);\n\t\t\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\n\t\t\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tendCutoff += viewport.xyxy;\n\t\t\tendCutoff += endMiterWidth.xyxy;\n\t\t}\n\t}\n}\n"]),frag:o(["precision highp float;\n#define GLSLIFY 1\n\nuniform float dashLength, pixelRatio, thickness, opacity, id, miterMode;\nuniform sampler2D dashTexture;\n\nvarying vec4 fragColor;\nvarying vec2 tangent;\nvarying vec4 startCutoff, endCutoff;\nvarying vec2 startCoord, endCoord;\nvarying float enableStartMiter, enableEndMiter;\n\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\n\tvec2 diff = b - a;\n\tvec2 perp = normalize(vec2(-diff.y, diff.x));\n\treturn dot(p - a, perp);\n}\n\nvoid main() {\n\tfloat alpha = 1., distToStart, distToEnd;\n\tfloat cutoff = thickness * .5;\n\n\t//bevel miter\n\tif (miterMode == 1.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\n\t\t\tif (distToStart < -1.) {\n\t\t\t\tdiscard;\n\t\t\t\treturn;\n\t\t\t}\n\t\t\talpha *= min(max(distToStart + 1., 0.), 1.);\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\n\t\t\tif (distToEnd < -1.) {\n\t\t\t\tdiscard;\n\t\t\t\treturn;\n\t\t\t}\n\t\t\talpha *= min(max(distToEnd + 1., 0.), 1.);\n\t\t}\n\t}\n\n\t// round miter\n\telse if (miterMode == 2.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\n\t\t\tif (distToStart < 0.) {\n\t\t\t\tfloat radius = length(gl_FragCoord.xy - startCoord);\n\n\t\t\t\tif(radius > cutoff + .5) {\n\t\t\t\t\tdiscard;\n\t\t\t\t\treturn;\n\t\t\t\t}\n\n\t\t\t\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\n\t\t\t}\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\n\t\t\tif (distToEnd < 0.) {\n\t\t\t\tfloat radius = length(gl_FragCoord.xy - endCoord);\n\n\t\t\t\tif(radius > cutoff + .5) {\n\t\t\t\t\tdiscard;\n\t\t\t\t\treturn;\n\t\t\t\t}\n\n\t\t\t\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\n\t\t\t}\n\t\t}\n\t}\n\n\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\n\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\n\n\tgl_FragColor = fragColor;\n\tgl_FragColor.a *= alpha * opacity * dash;\n}\n"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aColor:{buffer:t.prop("colorBuffer"),stride:4,offset:0,divisor:1},bColor:{buffer:t.prop("colorBuffer"),stride:4,offset:4,divisor:1},prevCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:0,divisor:1},aCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:16,divisor:1},nextCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:24,divisor:1}}},n))}catch(t){e=i}return{fill:t({primitive:"triangle",elements:function(t,e){return e.triangles},offset:0,vert:o(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec2 position, positionFract;\n\nuniform vec4 color;\nuniform vec2 scale, scaleFract, translate, translateFract;\nuniform float pixelRatio, id;\nuniform vec4 viewport;\nuniform float opacity;\n\nvarying vec4 fragColor;\n\nconst float MAX_LINES = 256.;\n\nvoid main() {\n\tfloat depth = (MAX_LINES - 4. - id) / (MAX_LINES);\n\n\tvec2 position = position * scale + translate\n       + positionFract * scale + translateFract\n       + position * scaleFract\n       + positionFract * scaleFract;\n\n\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\n\n\tfragColor = color / 255.;\n\tfragColor.a *= opacity;\n}\n"]),frag:o(["precision highp float;\n#define GLSLIFY 1\n\nvarying vec4 fragColor;\n\nvoid main() {\n\tgl_FragColor = fragColor;\n}\n"]),uniforms:{scale:t.prop("scale"),color:t.prop("fill"),scaleFract:t.prop("scaleFract"),translateFract:t.prop("translateFract"),translate:t.prop("translate"),opacity:t.prop("opacity"),pixelRatio:t.context("pixelRatio"),id:t.prop("id"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]}},attributes:{position:{buffer:t.prop("positionBuffer"),stride:8,offset:8},positionFract:{buffer:t.prop("positionFractBuffer"),stride:8,offset:8}},blend:n.blend,depth:{enable:!1},scissor:n.scissor,stencil:n.stencil,viewport:n.viewport}),rect:i,miter:e}},v.defaults={dashes:null,join:"miter",miterLimit:1,thickness:10,cap:"square",color:"black",opacity:1,overlay:!1,viewport:null,range:null,close:!1,fill:null},v.prototype.render=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];e.length&&(t=this).update.apply(t,e),this.draw()},v.prototype.draw=function(){for(var t=this,e=[],r=arguments.length;r--;)e[r]=arguments[r];return(e.length?e:this.passes).forEach((function(e,r){var n;if(e&&Array.isArray(e))return(n=t).draw.apply(n,e);"number"==typeof e&&(e=t.passes[e]),e&&e.count>1&&e.opacity&&(t.regl._refresh(),e.fill&&e.triangles&&e.triangles.length>2&&t.shaders.fill(e),e.thickness&&(e.scale[0]*e.viewport.width>v.precisionThreshold||e.scale[1]*e.viewport.height>v.precisionThreshold||"rect"===e.join||!e.join&&(e.thickness<=2||e.count>=v.maxPoints)?t.shaders.rect(e):t.shaders.miter(e)))})),this},v.prototype.update=function(t){var e=this;if(t){null!=t.length?"number"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var r=this.regl,o=this.gl;if(t.forEach((function(t,f){var d=e.passes[f];if(void 0!==t)if(null!==t){if("number"==typeof t[0]&&(t={positions:t}),t=s(t,{positions:"positions points data coords",thickness:"thickness lineWidth lineWidths line-width linewidth width stroke-width strokewidth strokeWidth",join:"lineJoin linejoin join type mode",miterLimit:"miterlimit miterLimit",dashes:"dash dashes dasharray dash-array dashArray",color:"color colour stroke colors colours stroke-color strokeColor",fill:"fill fill-color fillColor",opacity:"alpha opacity",overlay:"overlay crease overlap intersect",close:"closed close closed-path closePath",range:"range dataBox",viewport:"viewport viewBox",hole:"holes hole hollow",splitNull:"splitNull"}),d||(e.passes[f]=d={id:f,scale:null,scaleFract:null,translate:null,translateFract:null,count:0,hole:[],depth:0,dashLength:1,dashTexture:r.texture({channels:1,data:new Uint8Array([255]),width:1,height:1,mag:"linear",min:"linear"}),colorBuffer:r.buffer({usage:"dynamic",type:"uint8",data:new Uint8Array}),positionBuffer:r.buffer({usage:"dynamic",type:"float",data:new Uint8Array}),positionFractBuffer:r.buffer({usage:"dynamic",type:"float",data:new Uint8Array})},t=a({},v.defaults,t)),null!=t.thickness&&(d.thickness=parseFloat(t.thickness)),null!=t.opacity&&(d.opacity=parseFloat(t.opacity)),null!=t.miterLimit&&(d.miterLimit=parseFloat(t.miterLimit)),null!=t.overlay&&(d.overlay=!!t.overlay,f<v.maxLines&&(d.depth=2*(v.maxLines-1-f%v.maxLines)/v.maxLines-1)),null!=t.join&&(d.join=t.join),null!=t.hole&&(d.hole=t.hole),null!=t.fill&&(d.fill=t.fill?n(t.fill,"uint8"):null),null!=t.viewport&&(d.viewport=m(t.viewport)),d.viewport||(d.viewport=m([o.drawingBufferWidth,o.drawingBufferHeight])),null!=t.close&&(d.close=t.close),null===t.positions&&(t.positions=[]),t.positions){var y,x;if(t.positions.x&&t.positions.y){var b=t.positions.x,_=t.positions.y;x=d.count=Math.max(b.length,_.length),y=new Float64Array(2*x);for(var w=0;w<x;w++)y[2*w]=b[w],y[2*w+1]=_[w]}else y=l(t.positions,"float64"),x=d.count=Math.floor(y.length/2);var T=d.bounds=i(y,2);if(d.fill){for(var k=[],A={},M=0,S=0,E=0,L=d.count;S<L;S++){var C=y[2*S],P=y[2*S+1];isNaN(C)||isNaN(P)||null==C||null==P?(C=y[2*M],P=y[2*M+1],A[S]=M):M=S,k[E++]=C,k[E++]=P}if(t.splitNull){d.count-1 in A||(A[d.count]=d.count-1);var I=Object.keys(A).map(Number).sort((function(t,e){return t-e})),O=[],z=0,D=null!=d.hole?d.hole[0]:null;if(null!=D){var R=g(I,(function(t){return t>=D}));(I=I.slice(0,R)).push(D)}for(var F=function(t){var e=k.slice(2*z,2*I[t]).concat(D?k.slice(2*D):[]),r=(d.hole||[]).map((function(e){return e-D+(I[t]-z)})),n=c(e,r);n=n.map((function(e){return e+z+(e+z<I[t]?0:D-I[t])})),O.push.apply(O,n),z=I[t]+1},B=0;B<I.length;B++)F(B);for(var N=0,j=O.length;N<j;N++)null!=A[O[N]]&&(O[N]=A[O[N]]);d.triangles=O}else{for(var U=c(k,d.hole||[]),V=0,H=U.length;V<H;V++)null!=A[U[V]]&&(U[V]=A[U[V]]);d.triangles=U}}var q=new Float64Array(y);u(q,2,T);var G=new Float64Array(2*x+6);d.close?y[0]===y[2*x-2]&&y[1]===y[2*x-1]?(G[0]=q[2*x-4],G[1]=q[2*x-3]):(G[0]=q[2*x-2],G[1]=q[2*x-1]):(G[0]=q[0],G[1]=q[1]),G.set(q,2),d.close?y[0]===y[2*x-2]&&y[1]===y[2*x-1]?(G[2*x+2]=q[2],G[2*x+3]=q[3],d.count-=1):(G[2*x+2]=q[0],G[2*x+3]=q[1],G[2*x+4]=q[2],G[2*x+5]=q[3]):(G[2*x+2]=q[2*x-2],G[2*x+3]=q[2*x-1],G[2*x+4]=q[2*x-2],G[2*x+5]=q[2*x-1]);var Y=h(G);d.positionBuffer(Y);var W=p(G,Y);d.positionFractBuffer(W)}if(t.range?d.range=t.range:d.range||(d.range=d.bounds),(t.range||t.positions)&&d.count){var X=d.bounds,Z=X[2]-X[0],J=X[3]-X[1],K=d.range[2]-d.range[0],Q=d.range[3]-d.range[1];d.scale=[Z/K,J/Q],d.translate=[-d.range[0]/K+X[0]/K||0,-d.range[1]/Q+X[1]/Q||0],d.scaleFract=p(d.scale),d.translateFract=p(d.translate)}if(t.dashes){var $,tt=0;if(!t.dashes||t.dashes.length<2)tt=1,$=new Uint8Array([255,255,255,255,255,255,255,255]);else{tt=0;for(var et=0;et<t.dashes.length;++et)tt+=t.dashes[et];$=new Uint8Array(tt*v.dashMult);for(var rt=0,nt=255,it=0;it<2;it++)for(var at=0;at<t.dashes.length;++at){for(var ot=0,st=t.dashes[at]*v.dashMult*.5;ot<st;++ot)$[rt++]=nt;nt^=255}}d.dashLength=tt,d.dashTexture({channels:1,data:$,width:$.length,height:1,mag:"linear",min:"linear"},0,0)}if(t.color){var lt=d.count,ct=t.color;ct||(ct="transparent");var ut=new Uint8Array(4*lt+4);if(Array.isArray(ct)&&"number"!=typeof ct[0]){for(var ft=0;ft<lt;ft++){var ht=n(ct[ft],"uint8");ut.set(ht,4*ft)}ut.set(n(ct[0],"uint8"),4*lt)}else for(var pt=n(ct,"uint8"),dt=0;dt<lt+1;dt++)ut.set(pt,4*dt);d.colorBuffer({usage:"dynamic",type:"uint8",data:ut})}}else e.passes[f]=null})),t.length<this.passes.length){for(var f=t.length;f<this.passes.length;f++){var d=this.passes[f];d&&(d.colorBuffer.destroy(),d.positionBuffer.destroy(),d.dashTexture.destroy())}this.passes.length=t.length}for(var y=[],x=0;x<this.passes.length;x++)null!==this.passes[x]&&y.push(this.passes[x]);return this.passes=y,this}},v.prototype.destroy=function(){return 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e.borderColor.length?{buffer:e.colorBuffer,stride:r.tooManyColors?8:4,offset:r.tooManyColors?4:2}:{constant:r.tooManyColors?a.slice(4*e.borderColor,4*e.borderColor+4):[e.borderColor]}},isActive:function(t,e){return!0===e.activation?{constant:[1]}:e.activation?e.activation:{constant:[0]}}},blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:"src alpha",dstRGB:"one minus src alpha",srcAlpha:"one minus dst alpha",dstAlpha:"one"}},scissor:{enable:!0,box:t.prop("viewport")},viewport:t.prop("viewport"),stencil:{enable:!1},depth:{enable:!1},elements:t.prop("elements"),count:t.prop("count"),offset:t.prop("offset"),primitive:"points"},s=f({},o);s.frag=h(["precision highp float;\n#define GLSLIFY 1\n\nuniform float opacity;\nuniform sampler2D markerTexture;\n\nvarying vec4 fragColor, fragBorderColor;\nvarying float fragWidth, fragBorderColorLevel, fragColorLevel;\n\nfloat smoothStep(float x, float y) {\n  return 1.0 / (1.0 + exp(50.0*(x - y)));\n}\n\nvoid main() {\n  float dist = texture2D(markerTexture, gl_PointCoord).r, delta = fragWidth;\n\n  // max-distance alpha\n  if (dist < 0.003) discard;\n\n  // null-border case\n  if (fragBorderColorLevel == fragColorLevel || fragBorderColor.a == 0.) {\n    float colorAmt = smoothstep(.5 - delta, .5 + delta, dist);\n    gl_FragColor = vec4(fragColor.rgb, colorAmt * fragColor.a * opacity);\n  }\n  else {\n    float borderColorAmt = smoothstep(fragBorderColorLevel - delta, fragBorderColorLevel + delta, dist);\n    float colorAmt = smoothstep(fragColorLevel - delta, fragColorLevel + delta, dist);\n\n    vec4 color = fragBorderColor;\n    color.a *= borderColorAmt;\n    color = mix(color, fragColor, colorAmt);\n    color.a *= opacity;\n\n    gl_FragColor = color;\n  }\n\n}\n"]),s.vert=h(["precision highp float;\n#define GLSLIFY 1\n\nattribute float x, y, xFract, yFract;\nattribute float size, borderSize;\nattribute vec4 colorId, borderColorId;\nattribute float isActive;\n\nuniform bool constPointSize;\nuniform float pixelRatio;\nuniform vec2 scale, scaleFract, translate, translateFract, paletteSize;\nuniform sampler2D paletteTexture;\n\nconst float maxSize = 100.;\nconst float borderLevel = .5;\n\nvarying vec4 fragColor, fragBorderColor;\nvarying float fragPointSize, fragBorderRadius, fragWidth, fragBorderColorLevel, fragColorLevel;\n\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\n\nbool isDirect = (paletteSize.x < 1.);\n\nvec4 getColor(vec4 id) {\n  return isDirect ? id / 255. : texture2D(paletteTexture,\n    vec2(\n      (id.x + .5) / paletteSize.x,\n      (id.y + .5) / paletteSize.y\n    )\n  );\n}\n\nvoid main() {\n  // ignore inactive points\n  if (isActive == 0.) return;\n\n  vec2 position = vec2(x, y);\n  vec2 positionFract = vec2(xFract, yFract);\n\n  vec4 color = getColor(colorId);\n  vec4 borderColor = getColor(borderColorId);\n\n  float size = size * maxSize / 255.;\n  float borderSize = borderSize * maxSize / 255.;\n\n  gl_PointSize = 2. * size * pointSizeScale;\n  fragPointSize = size * pixelRatio;\n\n  vec2 pos = (position + translate) * scale\n      + (positionFract + translateFract) * scale\n      + (position + translate) * scaleFract\n      + (positionFract + translateFract) * scaleFract;\n\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\n\n  fragColor = color;\n  fragBorderColor = borderColor;\n  fragWidth = 1. / gl_PointSize;\n\n  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\n  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\n}"]),this.drawMarker=t(s);var l=f({},o);l.frag=h(["precision highp float;\n#define GLSLIFY 1\n\nvarying vec4 fragColor, fragBorderColor;\nvarying float fragBorderRadius, fragWidth;\n\nuniform float opacity;\n\nfloat smoothStep(float edge0, float edge1, float x) {\n\tfloat t;\n\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\n\treturn t * t * (3.0 - 2.0 * t);\n}\n\nvoid main() {\n\tfloat radius, alpha = 1.0, delta = fragWidth;\n\n\tradius 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getColor(vec4 id) {\n  return isDirect ? id / 255. : texture2D(paletteTexture,\n    vec2(\n      (id.x + .5) / paletteSize.x,\n      (id.y + .5) / paletteSize.y\n    )\n  );\n}\n\nvoid main() {\n  // ignore inactive points\n  if (isActive == 0.) return;\n\n  vec2 position = vec2(x, y);\n  vec2 positionFract = vec2(xFract, yFract);\n\n  vec4 color = getColor(colorId);\n  vec4 borderColor = getColor(borderColorId);\n\n  float size = size * maxSize / 255.;\n  float borderSize = borderSize * maxSize / 255.;\n\n  gl_PointSize = (size + borderSize) * pointSizeScale;\n\n  vec2 pos = (position + translate) * scale\n      + (positionFract + translateFract) * scale\n      + (position + translate) * scaleFract\n      + (positionFract + translateFract) * scaleFract;\n\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\n\n  fragBorderRadius = 1. - 2. * borderSize / (size + borderSize);\n  fragColor = color;\n  fragBorderColor = borderColor.a == 0. || borderSize == 0. ? vec4(color.rgb, 0.) : borderColor;\n  fragWidth = 1. / gl_PointSize;\n}\n"]),g&&(l.frag=l.frag.replace("smoothstep","smoothStep"),s.frag=s.frag.replace("smoothstep","smoothStep")),this.drawCircle=t(l)}b.defaults={color:"black",borderColor:"transparent",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4},b.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},b.prototype.draw=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];var i=this.groups;if(1===r.length&&Array.isArray(r[0])&&(null===r[0][0]||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var a=0;a<r.length;a++)this.drawItem(a,r[a]);else i.forEach((function(e,r){t.drawItem(r)}));return this},b.prototype.drawItem=function(t,e){var r=this.groups,n=r[t];if("number"==typeof e&&(t=e,n=r[e],e=null),n&&n.count&&n.opacity){n.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,n,e));for(var a=[],o=1;o<n.activation.length;o++)n.activation[o]&&(!0===n.activation[o]||n.activation[o].data.length)&&a.push.apply(a,i(this.getMarkerDrawOptions(o,n,e)));a.length&&this.drawMarker(a)}},b.prototype.getMarkerDrawOptions=function(t,e,r){var i=e.range,a=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,c=e.count;this.regl;if(!a)return r?[f({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[f({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var u=[],h=a.range(i,{lod:!0,px:[(i[2]-i[0])/o.width,(i[3]-i[1])/o.height]});if(r){for(var p=s[t].data,d=new Uint8Array(c),m=0;m<r.length;m++){var g=r[m];d[g]=p?p[g]:1}l.subdata(d)}for(var v=h.length;v--;){var y=n(h[v],2),x=y[0],b=y[1];u.push(f({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:b-x}))}return u},b.prototype.update=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];if(r.length){1===r.length&&Array.isArray(r[0])&&(r=r[0]);var i=this.groups,a=this.gl,o=this.regl,s=this.maxSize,c=this.maxColors,h=this.palette;this.groups=i=r.map((function(e,r){var n=i[r];if(void 0===e)return n;null===e?e={positions:null}:"function"==typeof e?e={ondraw:e}:"number"==typeof e[0]&&(e={positions:e}),null===(e=p(e,{positions:"positions data points",snap:"snap cluster lod tree",size:"sizes size radius",borderSize:"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline",color:"colors color fill fill-color fillColor",borderColor:"borderColors borderColor stroke stroke-color strokeColor",marker:"markers marker shape",range:"range dataBox databox",viewport:"viewport viewPort viewBox viewbox",opacity:"opacity alpha transparency",bounds:"bound bounds boundaries limits",tooManyColors:"tooManyColors palette paletteMode optimizePalette enablePalette"})).positions&&(e.positions=[]),null!=e.tooManyColors&&(t.tooManyColors=e.tooManyColors),n||(i[r]=n={id:r,scale:null,translate:null,scaleFract:null,translateFract:null,activation:[],selectionBuffer:o.buffer({data:new Uint8Array(0),usage:"stream",type:"uint8"}),sizeBuffer:o.buffer({data:new Uint8Array(0),usage:"dynamic",type:"uint8"}),colorBuffer:o.buffer({data:new Uint8Array(0),usage:"dynamic",type:"uint8"}),positionBuffer:o.buffer({data:new Uint8Array(0),usage:"dynamic",type:"float"}),positionFractBuffer:o.buffer({data:new Uint8Array(0),usage:"dynamic",type:"float"})},e=f({},b.defaults,e)),e.positions&&!("marker"in e)&&(e.marker=n.marker,delete n.marker),e.marker&&!("positions"in e)&&(e.positions=n.positions,delete n.positions);var g=0,x=0;if(d(n,e,[{snap:!0,size:function(t,e){return null==t&&(t=b.defaults.size),g+=t&&t.length?1:0,t},borderSize:function(t,e){return null==t&&(t=b.defaults.borderSize),g+=t&&t.length?1:0,t},opacity:parseFloat,color:function(e,r){return null==e&&(e=b.defaults.color),e=t.updateColor(e),x++,e},borderColor:function(e,r){return null==e&&(e=b.defaults.borderColor),e=t.updateColor(e),x++,e},bounds:function(t,e,r){return"range"in r||(r.range=null),t},positions:function(t,e,r){var n=e.snap,i=e.positionBuffer,a=e.positionFractBuffer,s=e.selectionBuffer;if(t.x||t.y)return t.x.length?e.xAttr={buffer:o.buffer(t.x),offset:0,stride:4,count:t.x.length}:e.xAttr={buffer:t.x.buffer,offset:4*t.x.offset||0,stride:4*(t.x.stride||1),count:t.x.count},t.y.length?e.yAttr={buffer:o.buffer(t.y),offset:0,stride:4,count:t.y.length}:e.yAttr={buffer:t.y.buffer,offset:4*t.y.offset||0,stride:4*(t.y.stride||1),count:t.y.count},e.count=Math.max(e.xAttr.count,e.yAttr.count),t;t=m(t,"float64");var c=e.count=Math.floor(t.length/2),f=e.bounds=c?l(t,2):null;if(r.range||e.range||(delete e.range,r.range=f),r.marker||e.marker||(delete e.marker,r.marker=null),n&&(!0===n||c>n)?e.tree=u(t,{bounds:f}):n&&n.length&&(e.tree=n),e.tree){var h={primitive:"points",usage:"static",data:e.tree,type:"uint32"};e.elements?e.elements(h):e.elements=o.elements(h)}var p=v.float32(t);return i({data:p,usage:"dynamic"}),a({data:v.fract32(t,p),usage:"dynamic"}),s({data:new Uint8Array(c),type:"uint8",usage:"stream"}),t}},{marker:function(e,r,n){var i=r.activation;if(i.forEach((function(t){return t&&t.destroy&&t.destroy()})),i.length=0,e&&"number"!=typeof e[0]){for(var a=[],s=0,l=Math.min(e.length,r.count);s<l;s++){var c=t.addMarker(e[s]);a[c]||(a[c]=new Uint8Array(r.count)),a[c][s]=1}for(var u=0;u<a.length;u++)if(a[u]){var f={data:a[u],type:"uint8",usage:"static"};i[u]?i[u](f):i[u]=o.buffer(f),i[u].data=a[u]}}else{i[t.addMarker(e)]=!0}return e},range:function(t,e,r){var n=e.bounds;if(n)return 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n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),"d"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return(t=i.year())<0&&t++,i.day()+30*(i.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return this.newDate(r,n,i)}}),n.calendars.ethiopian=a},{"../main":341,"object-assign":242}],331:[function(t,e,r){var n=t("../main"),i=t("object-assign");function a(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}function o(t,e){return t-e*Math.floor(t/e)}a.prototype=new n.baseCalendar,i(a.prototype,{name:"Hebrew",jdEpoch:347995.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29,29],hasYearZero:!1,minMonth:1,firstMonth:7,minDay:1,regionalOptions:{"":{name:"Hebrew",epochs:["BAM","AM"],monthNames:["Nisan","Iyar","Sivan","Tammuz","Av","Elul","Tishrei","Cheshvan","Kislev","Tevet","Shevat","Adar","Adar II"],monthNamesShort:["Nis","Iya","Siv","Tam","Av","Elu","Tis","Che","Kis","Tev","She","Ada","Ad2"],dayNames:["Yom Rishon","Yom Sheni","Yom Shlishi","Yom Revi'i","Yom Chamishi","Yom Shishi","Yom Shabbat"],dayNamesShort:["Ris","She","Shl","Rev","Cha","Shi","Sha"],dayNamesMin:["Ri","She","Shl","Re","Ch","Shi","Sha"],digits:null,dateFormat:"dd/mm/yyyy",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return this._leapYear(e.year())},_leapYear:function(t){return o(7*(t=t<0?t+1:t)+1,19)<7},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),this._leapYear(t.year?t.year():t)?13:12},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),"d"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),this.toJD(-1===t?1:t+1,7,1)-this.toJD(t,7,1)},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),12===e&&this.leapYear(t)||8===e&&5===o(this.daysInYear(t),10)?30:9===e&&3===o(this.daysInYear(t),10)?29:this.daysPerMonth[e-1]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return{yearType:(this.leapYear(i)?"embolismic":"common")+" "+["deficient","regular","complete"][this.daysInYear(i)%10-3]}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t<=0?t+1:t,o=this.jdEpoch+this._delay1(a)+this._delay2(a)+r+1;if(e<7){for(var s=7;s<=this.monthsInYear(t);s++)o+=this.daysInMonth(t,s);for(s=1;s<e;s++)o+=this.daysInMonth(t,s)}else for(s=7;s<e;s++)o+=this.daysInMonth(t,s);return o},_delay1:function(t){var e=Math.floor((235*t-234)/19),r=12084+13753*e,n=29*e+Math.floor(r/25920);return o(3*(n+1),7)<3&&n++,n},_delay2:function(t){var e=this._delay1(t-1),r=this._delay1(t);return this._delay1(t+1)-r==356?2:r-e==382?1:0},fromJD:function(t){t=Math.floor(t)+.5;for(var e=Math.floor(98496*(t-this.jdEpoch)/35975351)-1;t>=this.toJD(-1===e?1:e+1,7,1);)e++;for(var r=t<this.toJD(e,1,1)?7:1;t>this.toJD(e,r,this.daysInMonth(e,r));)r++;var n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.hebrew=a},{"../main":341,"object-assign":242}],332:[function(t,e,r){var n=t("../main"),i=t("object-assign");function a(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}a.prototype=new n.baseCalendar,i(a.prototype,{name:"Islamic",jdEpoch:1948439.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{"":{name:"Islamic",epochs:["BH","AH"],monthNames:["Muharram","Safar","Rabi' al-awwal","Rabi' al-thani","Jumada al-awwal","Jumada al-thani","Rajab","Sha'aban","Ramadan","Shawwal","Dhu al-Qi'dah","Dhu al-Hijjah"],monthNamesShort:["Muh","Saf","Rab1","Rab2","Jum1","Jum2","Raj","Sha'","Ram","Shaw","DhuQ","DhuH"],dayNames:["Yawm al-ahad","Yawm al-ithnayn","Yawm ath-thulaathaa'","Yawm al-arbi'aa'","Yawm al-kham\u012bs","Yawm al-jum'a","Yawm as-sabt"],dayNamesShort:["Aha","Ith","Thu","Arb","Kha","Jum","Sab"],dayNamesMin:["Ah","It","Th","Ar","Kh","Ju","Sa"],digits:null,dateFormat:"yyyy/mm/dd",firstDay:6,isRTL:!1}},leapYear:function(t){return(11*this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year()+14)%30<11},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),"d"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return this.leapYear(t)?355:354},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),t=t<=0?t+1:t,(r=i.day())+Math.ceil(29.5*(e-1))+354*(t-1)+Math.floor((3+11*t)/30)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t)+.5;var e=Math.floor((30*(t-this.jdEpoch)+10646)/10631);e=e<=0?e-1:e;var r=Math.min(12,Math.ceil((t-29-this.toJD(e,1,1))/29.5)+1),n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.islamic=a},{"../main":341,"object-assign":242}],333:[function(t,e,r){var n=t("../main"),i=t("object-assign");function a(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}a.prototype=new n.baseCalendar,i(a.prototype,{name:"Julian",jdEpoch:1721423.5,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{"":{name:"Julian",epochs:["BC","AD"],monthNames:["January","February","March","April","May","June","July","August","September","October","November","December"],monthNamesShort:["Jan","Feb","Mar","Apr","May","Jun","Jul","Aug","Sep","Oct","Nov","Dec"],dayNames:["Sunday","Monday","Tuesday","Wednesday","Thursday","Friday","Saturday"],dayNamesShort:["Sun","Mon","Tue","Wed","Thu","Fri","Sat"],dayNamesMin:["Su","Mo","Tu","We","Th","Fr","Sa"],digits:null,dateFormat:"mm/dd/yyyy",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()<0?e.year()+1:e.year())%4==0},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(4-(n.dayOfWeek()||7),"d"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),r=i.day(),t<0&&t++,e<=2&&(t--,e+=12),Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r-1524.5},fromJD:function(t){var e=Math.floor(t+.5)+1524,r=Math.floor((e-122.1)/365.25),n=Math.floor(365.25*r),i=Math.floor((e-n)/30.6001),a=i-Math.floor(i<14?1:13),o=r-Math.floor(a>2?4716:4715),s=e-n-Math.floor(30.6001*i);return o<=0&&o--,this.newDate(o,a,s)}}),n.calendars.julian=a},{"../main":341,"object-assign":242}],334:[function(t,e,r){var n=t("../main"),i=t("object-assign");function a(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}function o(t,e){return t-e*Math.floor(t/e)}function s(t,e){return o(t-1,e)+1}a.prototype=new n.baseCalendar,i(a.prototype,{name:"Mayan",jdEpoch:584282.5,hasYearZero:!0,minMonth:0,firstMonth:0,minDay:0,regionalOptions:{"":{name:"Mayan",epochs:["",""],monthNames:["0","1","2","3","4","5","6","7","8","9","10","11","12","13","14","15","16","17"],monthNamesShort:["0","1","2","3","4","5","6","7","8","9","10","11","12","13","14","15","16","17"],dayNames:["0","1","2","3","4","5","6","7","8","9","10","11","12","13","14","15","16","17","18","19"],dayNamesShort:["0","1","2","3","4","5","6","7","8","9","10","11","12","13","14","15","16","17","18","19"],dayNamesMin:["0","1","2","3","4","5","6","7","8","9","10","11","12","13","14","15","16","17","18","19"],digits:null,dateFormat:"YYYY.m.d",firstDay:0,isRTL:!1,haabMonths:["Pop","Uo","Zip","Zotz","Tzec","Xul","Yaxkin","Mol","Chen","Yax","Zac","Ceh","Mac","Kankin","Muan","Pax","Kayab","Cumku","Uayeb"],tzolkinMonths:["Imix","Ik","Akbal","Kan","Chicchan","Cimi","Manik","Lamat","Muluc","Oc","Chuen","Eb","Ben","Ix","Men","Cib","Caban","Etznab","Cauac","Ahau"]}},leapYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+"."+Math.floor(t/20)+"."+t%20},forYear:function(t){if((t=t.split(".")).length<3)throw"Invalid Mayan year";for(var e=0,r=0;r<t.length;r++){var n=parseInt(t[r],10);if(Math.abs(n)>19||r>0&&n<0)throw"Invalid Mayan year";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),!0},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate).toJD(),a=this._toHaab(i),o=this._toTzolkin(i);return{haabMonthName:this.local.haabMonths[a[0]-1],haabMonth:a[0],haabDay:a[1],tzolkinDayName:this.local.tzolkinMonths[o[0]-1],tzolkinDay:o[0],tzolkinTrecena:o[1]}},_toHaab:function(t){var e=o((t-=this.jdEpoch)+8+340,365);return[Math.floor(e/20)+1,o(e,20)]},_toTzolkin:function(t){return[s((t-=this.jdEpoch)+20,20),s(t+4,13)]},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return i.day()+20*i.month()+360*i.year()+this.jdEpoch},fromJD:function(t){t=Math.floor(t)+.5-this.jdEpoch;var e=Math.floor(t/360);t%=360,t+=t<0?360:0;var r=Math.floor(t/20),n=t%20;return this.newDate(e,r,n)}}),n.calendars.mayan=a},{"../main":341,"object-assign":242}],335:[function(t,e,r){var n=t("../main"),i=t("object-assign");function a(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}a.prototype=new n.baseCalendar;var o=n.instance("gregorian");i(a.prototype,{name:"Nanakshahi",jdEpoch:2257673.5,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{"":{name:"Nanakshahi",epochs:["BN","AN"],monthNames:["Chet","Vaisakh","Jeth","Harh","Sawan","Bhadon","Assu","Katak","Maghar","Poh","Magh","Phagun"],monthNamesShort:["Che","Vai","Jet","Har","Saw","Bha","Ass","Kat","Mgr","Poh","Mgh","Pha"],dayNames:["Somvaar","Mangalvar","Budhvaar","Veervaar","Shukarvaar","Sanicharvaar","Etvaar"],dayNamesShort:["Som","Mangal","Budh","Veer","Shukar","Sanichar","Et"],dayNamesMin:["So","Ma","Bu","Ve","Sh","Sa","Et"],digits:null,dateFormat:"dd-mm-yyyy",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[""].invalidYear);return o.leapYear(e.year()+(e.year()<1?1:0)+1469)},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(1-(n.dayOfWeek()||7),"d"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidMonth);(t=i.year())<0&&t++;for(var a=i.day(),s=1;s<i.month();s++)a+=this.daysPerMonth[s-1];return a+o.toJD(t+1468,3,13)},fromJD:function(t){t=Math.floor(t+.5);for(var e=Math.floor((t-(this.jdEpoch-1))/366);t>=this.toJD(e+1,1,1);)e++;for(var r=t-Math.floor(this.toJD(e,1,1)+.5)+1,n=1;r>this.daysInMonth(e,n);)r-=this.daysInMonth(e,n),n++;return this.newDate(e,n,r)}}),n.calendars.nanakshahi=a},{"../main":341,"object-assign":242}],336:[function(t,e,r){var n=t("../main"),i=t("object-assign");function a(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}a.prototype=new n.baseCalendar,i(a.prototype,{name:"Nepali",jdEpoch:1700709.5,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{"":{name:"Nepali",epochs:["BBS","ABS"],monthNames:["Baisakh","Jestha","Ashadh","Shrawan","Bhadra","Ashwin","Kartik","Mangsir","Paush","Mangh","Falgun","Chaitra"],monthNamesShort:["Bai","Je","As","Shra","Bha","Ash","Kar","Mang","Pau","Ma","Fal","Chai"],dayNames:["Aaitabaar","Sombaar","Manglbaar","Budhabaar","Bihibaar","Shukrabaar","Shanibaar"],dayNamesShort:["Aaita","Som","Mangl","Budha","Bihi","Shukra","Shani"],dayNamesMin:["Aai","So","Man","Bu","Bi","Shu","Sha"],digits:null,dateFormat:"dd/mm/yyyy",firstDay:1,isRTL:!1}},leapYear:function(t){return this.daysInYear(t)!==this.daysPerYear},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),"d"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){if(t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),void 0===this.NEPALI_CALENDAR_DATA[t])return this.daysPerYear;for(var e=0,r=this.minMonth;r<=12;r++)e+=this.NEPALI_CALENDAR_DATA[t][r];return e},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),void 0===this.NEPALI_CALENDAR_DATA[t]?this.daysPerMonth[e-1]:this.NEPALI_CALENDAR_DATA[t][e]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=n.instance(),o=0,s=e,l=t;this._createMissingCalendarData(t);var c=t-(s>9||9===s&&r>=this.NEPALI_CALENDAR_DATA[l][0]?56:57);for(9!==e&&(o=r,s--);9!==s;)s<=0&&(s=12,l--),o+=this.NEPALI_CALENDAR_DATA[l][s],s--;return 9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=a.daysInYear(c)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(c,1,1).add(o,"d").toJD()},fromJD:function(t){var e=n.instance().fromJD(t),r=e.year(),i=e.dayOfYear(),a=r+56;this._createMissingCalendarData(a);for(var o=9,s=this.NEPALI_CALENDAR_DATA[a][0],l=this.NEPALI_CALENDAR_DATA[a][o]-s+1;i>l;)++o>12&&(o=1,a++),l+=this.NEPALI_CALENDAR_DATA[a][o];var c=this.NEPALI_CALENDAR_DATA[a][o]-(l-i);return this.newDate(a,o,c)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)void 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n.baseCalendar,i(a.prototype,{name:"UmmAlQura",hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{"":{name:"Umm al-Qura",epochs:["BH","AH"],monthNames:["Al-Muharram","Safar","Rabi' al-awwal","Rabi' Al-Thani","Jumada Al-Awwal","Jumada Al-Thani","Rajab","Sha'aban","Ramadan","Shawwal","Dhu al-Qi'dah","Dhu al-Hijjah"],monthNamesShort:["Muh","Saf","Rab1","Rab2","Jum1","Jum2","Raj","Sha'","Ram","Shaw","DhuQ","DhuH"],dayNames:["Yawm al-Ahad","Yawm al-Ithnain","Yawm al-Thal\u0101th\u0101\u2019","Yawm al-Arba\u2018\u0101\u2019","Yawm al-Kham\u012bs","Yawm al-Jum\u2018a","Yawm al-Sabt"],dayNamesMin:["Ah","Ith","Th","Ar","Kh","Ju","Sa"],digits:null,dateFormat:"yyyy/mm/dd",firstDay:6,isRTL:!0}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 355===this.daysInYear(e.year())},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),"d"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){for(var e=0,r=1;r<=12;r++)e+=this.daysInMonth(t,r);return e},daysInMonth:function(t,e){for(var r=this._validate(t,e,this.minDay,n.local.invalidMonth).toJD()-24e5+.5,i=0,a=0;a<o.length;a++){if(o[a]>r)return o[i]-o[i-1];i++}return 30},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate),a=12*(i.year()-1)+i.month()-15292;return i.day()+o[a-1]-1+24e5-.5},fromJD:function(t){for(var e=t-24e5+.5,r=0,n=0;n<o.length&&!(o[n]>e);n++)r++;var i=r+15292,a=Math.floor((i-1)/12),s=a+1,l=i-12*a,c=e-o[r-1]+1;return this.newDate(s,l,c)},isValid:function(t,e,r){var i=n.baseCalendar.prototype.isValid.apply(this,arguments);return i&&(i=(t=null!=t.year?t.year:t)>=1276&&t<=1500),i},_validate:function(t,e,r,i){var a=n.baseCalendar.prototype._validate.apply(this,arguments);if(a.year<1276||a.year>1500)throw i.replace(/\{0\}/,this.local.name);return a}}),n.calendars.ummalqura=a;var 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n=t("object-assign");function i(){this.regionalOptions=[],this.regionalOptions[""]={invalidCalendar:"Calendar {0} not found",invalidDate:"Invalid {0} date",invalidMonth:"Invalid {0} month",invalidYear:"Invalid {0} year",differentCalendars:"Cannot mix {0} and {1} dates"},this.local=this.regionalOptions[""],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(c.local.invalidDate||c.regionalOptions[""].invalidDate).replace(/\{0\}/,this._calendar.local.name)}function o(t,e){return"000000".substring(0,e-(t=""+t).length)+t}function s(){this.shortYearCutoff="+10"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[""]}n(i.prototype,{instance:function(t,e){t=(t||"gregorian").toLowerCase(),e=e||"";var r=this._localCals[t+"-"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+"-"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[""].invalidCalendar).replace(/\{0\}/,t);return r},newDate:function(t,e,r,n,i){return(n=(null!=t&&t.year?t.calendar():"string"==typeof n?this.instance(n,i):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+"").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n="",i=0;r>0;){var a=r%10;n=(0===a?"":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(a.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,"y")},month:function(t){return 0===arguments.length?this._month:this.set(t,"m")},day:function(t){return 0===arguments.length?this._day:this.set(t,"d")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(c.local.invalidDate||c.regionalOptions[""].invalidDate).replace(/\{0\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(c.local.differentCalendars||c.regionalOptions[""].differentCalendars).replace(/\{0\}/,this._calendar.local.name).replace(/\{1\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?"-":"")+o(Math.abs(this.year()),4)+"-"+o(this.month(),2)+"-"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[""].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[""].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[""].invalidYear);return(e.year()<0?"-":"")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[""].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,c.local.invalidMonth||c.regionalOptions[""].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,c.local.invalidMonth||c.regionalOptions[""].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[""].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[""].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[""].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[""].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,c.local.invalidDate||c.regionalOptions[""].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,"d"===r||"w"===r){var n=t.toJD()+e*("w"===r?this.daysInWeek():1),i=t.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=t.year()+("y"===r?e:0),o=t.monthOfYear()+("m"===r?e:0);i=t.day();"y"===r?(t.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):"m"===r&&(!function(t){for(;o<t.minMonth;)a--,o+=t.monthsInYear(a);for(var e=t.monthsInYear(a);o>e-1+t.minMonth;)a++,o-=e,e=t.monthsInYear(a)}(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var s=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,s}catch(t){throw 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":r._dfltTitle.annotation),a("textangle"),n.coerceFont(a,"font",r.font),a("width"),a("align"),a("height")&&a("valign"),u){var f,h,p=a("arrowside");-1!==p.indexOf("end")&&(f=a("arrowhead"),h=a("arrowsize")),-1!==p.indexOf("start")&&(a("startarrowhead",f),a("startarrowsize",h)),a("arrowcolor",l?e.bordercolor:i.defaultLine),a("arrowwidth",2*(l&&c||1)),a("standoff"),a("startstandoff")}var d=a("hovertext"),m=r.hoverlabel||{};if(d){var g=a("hoverlabel.bgcolor",m.bgcolor||(i.opacity(o)?i.rgb(o):i.defaultLine)),v=a("hoverlabel.bordercolor",m.bordercolor||i.contrast(g));n.coerceFont(a,"hoverlabel.font",{family:m.font.family,size:m.font.size,color:m.font.color||v})}a("captureevents",!!d)}},{"../../lib":498,"../color":361}],348:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("../../lib/to_log_range");e.exports=function(t,e,r,a){e=e||{};var o="log"===r&&"linear"===e.type,s="linear"===r&&"log"===e.type;if(o||s)for(var l,c,u=t._fullLayout.annotations,f=e._id.charAt(0),h=0;h<u.length;h++)l=u[h],c="annotations["+h+"].",l[f+"ref"]===e._id&&p(f),l["a"+f+"ref"]===e._id&&p("a"+f);function p(t){var r=l[t],s=null;s=o?i(r,e.range):Math.pow(10,r),n(s)||(s=null),a(c+t,s)}}},{"../../lib/to_log_range":526,"fast-isnumeric":185}],349:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../plots/cartesian/axes"),a=t("../../plots/array_container_defaults"),o=t("./common_defaults"),s=t("./attributes");function l(t,e,r){function a(r,i){return n.coerce(t,e,s,r,i)}var l=a("visible"),c=a("clicktoshow");if(l||c){o(t,e,r,a);for(var u=e.showarrow,f=["x","y"],h=[-10,-30],p={_fullLayout:r},d=0;d<2;d++){var m=f[d],g=i.coerceRef(t,e,p,m,"","paper");if("paper"!==g)i.getFromId(p,g)._annIndices.push(e._index);if(i.coercePosition(e,p,a,g,m,.5),u){var v="a"+m,y=i.coerceRef(t,e,p,v,"pixel",["pixel","paper"]);"pixel"!==y&&y!==g&&(y=e[v]="pixel");var x="pixel"===y?h[d]:.4;i.coercePosition(e,p,a,y,v,x)}a(m+"anchor"),a(m+"shift")}if(n.noneOrAll(t,e,["x","y"]),u&&n.noneOrAll(t,e,["ax","ay"]),c){var b=a("xclick"),_=a("yclick");e._xclick=void 0===b?e.x:i.cleanPosition(b,p,e.xref),e._yclick=void 0===_?e.y:i.cleanPosition(_,p,e.yref)}}}e.exports=function(t,e){a(t,e,{name:"annotations",handleItemDefaults:l})}},{"../../lib":498,"../../plots/array_container_defaults":544,"../../plots/cartesian/axes":549,"./attributes":344,"./common_defaults":347}],350:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../../registry"),a=t("../../plots/plots"),o=t("../../lib"),s=o.strTranslate,l=t("../../plots/cartesian/axes"),c=t("../color"),u=t("../drawing"),f=t("../fx"),h=t("../../lib/svg_text_utils"),p=t("../../lib/setcursor"),d=t("../dragelement"),m=t("../../plot_api/plot_template").arrayEditor,g=t("./draw_arrow_head");function v(t,e){var r=t._fullLayout.annotations[e]||{},n=l.getFromId(t,r.xref),i=l.getFromId(t,r.yref);n&&n.setScale(),i&&i.setScale(),x(t,r,e,!1,n,i)}function y(t,e,r,n,i){var a=i[r],o=i[r+"ref"],s=-1!==r.indexOf("y"),c="domain"===l.getRefType(o),u=s?n.h:n.w;return t?c?a+(s?-e:e)/t._length:t.p2r(t.r2p(a)+e):a+(s?-e:e)/u}function x(t,e,r,a,v,x){var b,_,w=t._fullLayout,T=t._fullLayout._size,k=t._context.edits;a?(b="annotation-"+a,_=a+".annotations"):(b="annotation",_="annotations");var A=m(t.layout,_,e),M=A.modifyBase,S=A.modifyItem,E=A.getUpdateObj;w._infolayer.selectAll("."+b+'[data-index="'+r+'"]').remove();var L="clip"+w._uid+"_ann"+r;if(e._input&&!1!==e.visible){var C={x:{},y:{}},P=+e.textangle||0,I=w._infolayer.append("g").classed(b,!0).attr("data-index",String(r)).style("opacity",e.opacity),O=I.append("g").classed("annotation-text-g",!0),z=k[e.showarrow?"annotationTail":"annotationPosition"],D=e.captureevents||k.annotationText||z,R=O.append("g").style("pointer-events",D?"all":null).call(p,"pointer").on("click",(function(){t._dragging=!1,t.emit("plotly_clickannotation",Y(n.event))}));e.hovertext&&R.on("mouseover",(function(){var r=e.hoverlabel,n=r.font,i=this.getBoundingClientRect(),a=t.getBoundingClientRect();f.loneHover({x0:i.left-a.left,x1:i.right-a.left,y:(i.top+i.bottom)/2-a.top,text:e.hovertext,color:r.bgcolor,borderColor:r.bordercolor,fontFamily:n.family,fontSize:n.size,fontColor:n.color},{container:w._hoverlayer.node(),outerContainer:w._paper.node(),gd:t})})).on("mouseout",(function(){f.loneUnhover(w._hoverlayer.node())}));var F=e.borderwidth,B=e.borderpad,N=F+B,j=R.append("rect").attr("class","bg").style("stroke-width",F+"px").call(c.stroke,e.bordercolor).call(c.fill,e.bgcolor),U=e.width||e.height,V=w._topclips.selectAll("#"+L).data(U?[0]:[]);V.enter().append("clipPath").classed("annclip",!0).attr("id",L).append("rect"),V.exit().remove();var H=e.font,q=w._meta?o.templateString(e.text,w._meta):e.text,G=R.append("text").classed("annotation-text",!0).text(q);k.annotationText?G.call(h.makeEditable,{delegate:R,gd:t}).call(W).on("edit",(function(r){e.text=r,this.call(W),S("text",r),v&&v.autorange&&M(v._name+".autorange",!0),x&&x.autorange&&M(x._name+".autorange",!0),i.call("_guiRelayout",t,E())})):G.call(W)}else n.selectAll("#"+L).remove();function Y(t){var n={index:r,annotation:e._input,fullAnnotation:e,event:t};return a&&(n.subplotId=a),n}function W(r){return r.call(u.font,H).attr({"text-anchor":{left:"start",right:"end"}[e.align]||"middle"}),h.convertToTspans(r,t,X),r}function X(){var r=G.selectAll("a");1===r.size()&&r.text()===G.text()&&R.insert("a",":first-child").attr({"xlink:xlink:href":r.attr("xlink:href"),"xlink:xlink:show":r.attr("xlink:show")}).style({cursor:"pointer"}).node().appendChild(j.node());var n=R.select(".annotation-text-math-group"),f=!n.empty(),m=u.bBox((f?n:G).node()),b=m.width,_=m.height,A=e.width||b,D=e.height||_,B=Math.round(A+2*N),H=Math.round(D+2*N);function q(t,e){return"auto"===e&&(e=t<1/3?"left":t>2/3?"right":"center"),{center:0,middle:0,left:.5,bottom:-.5,right:-.5,top:.5}[e]}for(var W=!1,X=["x","y"],Z=0;Z<X.length;Z++){var J,K,Q,$,tt,et=X[Z],rt=e[et+"ref"]||et,nt=e["a"+et+"ref"],it={x:v,y:x}[et],at=(P+("x"===et?0:-90))*Math.PI/180,ot=B*Math.cos(at),st=H*Math.sin(at),lt=Math.abs(ot)+Math.abs(st),ct=e[et+"anchor"],ut=e[et+"shift"]*("x"===et?1:-1),ft=C[et],ht=l.getRefType(rt);if(it&&"domain"!==ht){var pt=it.r2fraction(e[et]);(pt<0||pt>1)&&(nt===rt?((pt=it.r2fraction(e["a"+et]))<0||pt>1)&&(W=!0):W=!0),J=it._offset+it.r2p(e[et]),$=.5}else{var dt="domain"===ht;"x"===et?(Q=e[et],J=dt?it._offset+it._length*Q:J=T.l+T.w*Q):(Q=1-e[et],J=dt?it._offset+it._length*Q:J=T.t+T.h*Q),$=e.showarrow?.5:Q}if(e.showarrow){ft.head=J;var mt=e["a"+et];if(tt=ot*q(.5,e.xanchor)-st*q(.5,e.yanchor),nt===rt){var gt=l.getRefType(nt);"domain"===gt?("y"===et&&(mt=1-mt),ft.tail=it._offset+it._length*mt):"paper"===gt?"y"===et?(mt=1-mt,ft.tail=T.t+T.h*mt):ft.tail=T.l+T.w*mt:ft.tail=it._offset+it.r2p(mt),K=tt}else ft.tail=J+mt,K=tt+mt;ft.text=ft.tail+tt;var vt=w["x"===et?"width":"height"];if("paper"===rt&&(ft.head=o.constrain(ft.head,1,vt-1)),"pixel"===nt){var yt=-Math.max(ft.tail-3,ft.text),xt=Math.min(ft.tail+3,ft.text)-vt;yt>0?(ft.tail+=yt,ft.text+=yt):xt>0&&(ft.tail-=xt,ft.text-=xt)}ft.tail+=ut,ft.head+=ut}else K=tt=lt*q($,ct),ft.text=J+tt;ft.text+=ut,tt+=ut,K+=ut,e["_"+et+"padplus"]=lt/2+K,e["_"+et+"padminus"]=lt/2-K,e["_"+et+"size"]=lt,e["_"+et+"shift"]=tt}if(W)R.remove();else{var bt=0,_t=0;if("left"!==e.align&&(bt=(A-b)*("center"===e.align?.5:1)),"top"!==e.valign&&(_t=(D-_)*("middle"===e.valign?.5:1)),f)n.select("svg").attr({x:N+bt-1,y:N+_t}).call(u.setClipUrl,U?L:null,t);else{var wt=N+_t-m.top,Tt=N+bt-m.left;G.call(h.positionText,Tt,wt).call(u.setClipUrl,U?L:null,t)}V.select("rect").call(u.setRect,N,N,A,D),j.call(u.setRect,F/2,F/2,B-F,H-F),R.call(u.setTranslate,Math.round(C.x.text-B/2),Math.round(C.y.text-H/2)),O.attr({transform:"rotate("+P+","+C.x.text+","+C.y.text+")"});var kt,At=function(r,n){I.selectAll(".annotation-arrow-g").remove();var l=C.x.head,f=C.y.head,h=C.x.tail+r,p=C.y.tail+n,m=C.x.text+r,b=C.y.text+n,_=o.rotationXYMatrix(P,m,b),w=o.apply2DTransform(_),A=o.apply2DTransform2(_),L=+j.attr("width"),z=+j.attr("height"),D=m-.5*L,F=D+L,B=b-.5*z,N=B+z,U=[[D,B,D,N],[D,N,F,N],[F,N,F,B],[F,B,D,B]].map(A);if(!U.reduce((function(t,e){return t^!!o.segmentsIntersect(l,f,l+1e6,f+1e6,e[0],e[1],e[2],e[3])}),!1)){U.forEach((function(t){var e=o.segmentsIntersect(h,p,l,f,t[0],t[1],t[2],t[3]);e&&(h=e.x,p=e.y)}));var V=e.arrowwidth,H=e.arrowcolor,q=e.arrowside,G=I.append("g").style({opacity:c.opacity(H)}).classed("annotation-arrow-g",!0),Y=G.append("path").attr("d","M"+h+","+p+"L"+l+","+f).style("stroke-width",V+"px").call(c.stroke,c.rgb(H));if(g(Y,q,e),k.annotationPosition&&Y.node().parentNode&&!a){var W=l,X=f;if(e.standoff){var Z=Math.sqrt(Math.pow(l-h,2)+Math.pow(f-p,2));W+=e.standoff*(h-l)/Z,X+=e.standoff*(p-f)/Z}var J,K,Q=G.append("path").classed("annotation-arrow",!0).classed("anndrag",!0).classed("cursor-move",!0).attr({d:"M3,3H-3V-3H3ZM0,0L"+(h-W)+","+(p-X),transform:s(W,X)}).style("stroke-width",V+6+"px").call(c.stroke,"rgba(0,0,0,0)").call(c.fill,"rgba(0,0,0,0)");d.init({element:Q.node(),gd:t,prepFn:function(){var t=u.getTranslate(R);J=t.x,K=t.y,v&&v.autorange&&M(v._name+".autorange",!0),x&&x.autorange&&M(x._name+".autorange",!0)},moveFn:function(t,r){var n=w(J,K),i=n[0]+t,a=n[1]+r;R.call(u.setTranslate,i,a),S("x",y(v,t,"x",T,e)),S("y",y(x,r,"y",T,e)),e.axref===e.xref&&S("ax",y(v,t,"ax",T,e)),e.ayref===e.yref&&S("ay",y(x,r,"ay",T,e)),G.attr("transform",s(t,r)),O.attr({transform:"rotate("+P+","+i+","+a+")"})},doneFn:function(){i.call("_guiRelayout",t,E());var e=document.querySelector(".js-notes-box-panel");e&&e.redraw(e.selectedObj)}})}}};if(e.showarrow&&At(0,0),z)d.init({element:R.node(),gd:t,prepFn:function(){kt=O.attr("transform")},moveFn:function(t,r){var n="pointer";if(e.showarrow)e.axref===e.xref?S("ax",y(v,t,"ax",T,e)):S("ax",e.ax+t),e.ayref===e.yref?S("ay",y(x,r,"ay",T.w,e)):S("ay",e.ay+r),At(t,r);else{if(a)return;var i,o;if(v)i=y(v,t,"x",T,e);else{var l=e._xsize/T.w,c=e.x+(e._xshift-e.xshift)/T.w-l/2;i=d.align(c+t/T.w,l,0,1,e.xanchor)}if(x)o=y(x,r,"y",T,e);else{var u=e._ysize/T.h,f=e.y-(e._yshift+e.yshift)/T.h-u/2;o=d.align(f-r/T.h,u,0,1,e.yanchor)}S("x",i),S("y",o),v&&x||(n=d.getCursor(v?.5:i,x?.5:o,e.xanchor,e.yanchor))}O.attr({transform:s(t,r)+kt}),p(R,n)},clickFn:function(r,n){e.captureevents&&t.emit("plotly_clickannotation",Y(n))},doneFn:function(){p(R),i.call("_guiRelayout",t,E());var e=document.querySelector(".js-notes-box-panel");e&&e.redraw(e.selectedObj)}})}}}e.exports={draw:function(t){var e=t._fullLayout;e._infolayer.selectAll(".annotation").remove();for(var r=0;r<e.annotations.length;r++)e.annotations[r].visible&&v(t,r);return a.previousPromises(t)},drawOne:v,drawRaw:x}},{"../../lib":498,"../../lib/setcursor":519,"../../lib/svg_text_utils":524,"../../plot_api/plot_template":538,"../../plots/cartesian/axes":549,"../../plots/plots":614,"../../registry":633,"../color":361,"../dragelement":380,"../drawing":383,"../fx":401,"./draw_arrow_head":351,"@plotly/d3":58}],351:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../color"),a=t("./arrow_paths"),o=t("../../lib"),s=o.strScale,l=o.strRotate,c=o.strTranslate;e.exports=function(t,e,r){var o,u,f,h,p=t.node(),d=a[r.arrowhead||0],m=a[r.startarrowhead||0],g=(r.arrowwidth||1)*(r.arrowsize||1),v=(r.arrowwidth||1)*(r.startarrowsize||1),y=e.indexOf("start")>=0,x=e.indexOf("end")>=0,b=d.backoff*g+r.standoff,_=m.backoff*v+r.startstandoff;if("line"===p.nodeName){o={x:+t.attr("x1"),y:+t.attr("y1")},u={x:+t.attr("x2"),y:+t.attr("y2")};var w=o.x-u.x,T=o.y-u.y;if(h=(f=Math.atan2(T,w))+Math.PI,b&&_&&b+_>Math.sqrt(w*w+T*T))return void z();if(b){if(b*b>w*w+T*T)return void z();var k=b*Math.cos(f),A=b*Math.sin(f);u.x+=k,u.y+=A,t.attr({x2:u.x,y2:u.y})}if(_){if(_*_>w*w+T*T)return void z();var M=_*Math.cos(f),S=_*Math.sin(f);o.x-=M,o.y-=S,t.attr({x1:o.x,y1:o.y})}}else if("path"===p.nodeName){var E=p.getTotalLength(),L="";if(E<b+_)return void z();var C=p.getPointAtLength(0),P=p.getPointAtLength(.1);f=Math.atan2(C.y-P.y,C.x-P.x),o=p.getPointAtLength(Math.min(_,E)),L="0px,"+_+"px,";var I=p.getPointAtLength(E),O=p.getPointAtLength(E-.1);h=Math.atan2(I.y-O.y,I.x-O.x),u=p.getPointAtLength(Math.max(0,E-b)),L+=E-(L?_+b:b)+"px,"+E+"px",t.style("stroke-dasharray",L)}function z(){t.style("stroke-dasharray","0px,100px")}function D(e,a,o,u){e.path&&(e.noRotate&&(o=0),n.select(p.parentNode).append("path").attr({class:t.attr("class"),d:e.path,transform:c(a.x,a.y)+l(180*o/Math.PI)+s(u)}).style({fill:i.rgb(r.arrowcolor),"stroke-width":0}))}y&&D(m,o,f,v),x&&D(d,u,h,g)}},{"../../lib":498,"../color":361,"./arrow_paths":343,"@plotly/d3":58}],352:[function(t,e,r){"use strict";var n=t("./draw"),i=t("./click");e.exports={moduleType:"component",name:"annotations",layoutAttributes:t("./attributes"),supplyLayoutDefaults:t("./defaults"),includeBasePlot:t("../../plots/cartesian/include_components")("annotations"),calcAutorange:t("./calc_autorange"),draw:n.draw,drawOne:n.drawOne,drawRaw:n.drawRaw,hasClickToShow:i.hasClickToShow,onClick:i.onClick,convertCoords:t("./convert_coords")}},{"../../plots/cartesian/include_components":562,"./attributes":344,"./calc_autorange":345,"./click":346,"./convert_coords":348,"./defaults":349,"./draw":350}],353:[function(t,e,r){"use strict";var n=t("../annotations/attributes"),i=t("../../plot_api/edit_types").overrideAll,a=t("../../plot_api/plot_template").templatedArray;e.exports=i(a("annotation",{visible:n.visible,x:{valType:"any"},y:{valType:"any"},z:{valType:"any"},ax:{valType:"number"},ay:{valType:"number"},xanchor:n.xanchor,xshift:n.xshift,yanchor:n.yanchor,yshift:n.yshift,text:n.text,textangle:n.textangle,font:n.font,width:n.width,height:n.height,opacity:n.opacity,align:n.align,valign:n.valign,bgcolor:n.bgcolor,bordercolor:n.bordercolor,borderpad:n.borderpad,borderwidth:n.borderwidth,showarrow:n.showarrow,arrowcolor:n.arrowcolor,arrowhead:n.arrowhead,startarrowhead:n.startarrowhead,arrowside:n.arrowside,arrowsize:n.arrowsize,startarrowsize:n.startarrowsize,arrowwidth:n.arrowwidth,standoff:n.standoff,startstandoff:n.startstandoff,hovertext:n.hovertext,hoverlabel:n.hoverlabel,captureevents:n.captureevents}),"calc","from-root")},{"../../plot_api/edit_types":531,"../../plot_api/plot_template":538,"../annotations/attributes":344}],354:[function(t,e,r){"use 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V,H,q,G,Y,W,X,Z,J,K,Q,$,tt,et=[],rt=[],nt={hLinePoint:null,vLinePoint:null},it=!1;if(Array.isArray(e))for(P="array",q=0;q<e.length;q++)(Y=t.calcdata[e[q].curveNumber||0])&&(W=Y[0].trace,"skip"!==Y[0].trace.hoverinfo&&(rt.push(Y),"h"===W.orientation&&(it=!0)));else{for(G=0;G<t.calcdata.length;G++)Y=t.calcdata[G],"skip"!==(W=Y[0].trace).hoverinfo&&v.isTraceInSubplots(W,l)&&(rt.push(Y),"h"===W.orientation&&(it=!0));var at,ot;if(!s)at="xpx"in e?e.xpx:_[0]._length/2,ot="ypx"in e?e.ypx:w[0]._length/2;else{if(!1===c.triggerHandler(t,"plotly_beforehover",e))return;var st=s.getBoundingClientRect();at=e.clientX-st.left,ot=e.clientY-st.top,u._calcInverseTransform(t);var lt=o.apply3DTransform(u._invTransform)(at,ot);if(at=lt[0],ot=lt[1],at<0||at>_[0]._length||ot<0||ot>w[0]._length)return d.unhoverRaw(t,e)}if(e.pointerX=at+_[0]._offset,e.pointerY=ot+w[0]._offset,V="xval"in e?v.flat(l,e.xval):v.p2c(_,at),H="yval"in e?v.flat(l,e.yval):v.p2c(w,ot),!i(V[0])||!i(H[0]))return o.warn("Fx.hover 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n=t("@plotly/d3"),i=t("../../lib"),a=t("../dragelement"),o=t("./helpers"),s=t("./layout_attributes"),l=t("./hover");e.exports={moduleType:"component",name:"fx",constants:t("./constants"),schema:{layout:s},attributes:t("./attributes"),layoutAttributes:s,supplyLayoutGlobalDefaults:t("./layout_global_defaults"),supplyDefaults:t("./defaults"),supplyLayoutDefaults:t("./layout_defaults"),calc:t("./calc"),getDistanceFunction:o.getDistanceFunction,getClosest:o.getClosest,inbox:o.inbox,quadrature:o.quadrature,appendArrayPointValue:o.appendArrayPointValue,castHoverOption:function(t,e,r){return i.castOption(t,e,"hoverlabel."+r)},castHoverinfo:function(t,e,r){return i.castOption(t,r,"hoverinfo",(function(r){return i.coerceHoverinfo({hoverinfo:r},{_module:t._module},e)}))},hover:l.hover,unhover:a.unhover,loneHover:l.loneHover,loneUnhover:function(t){var 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n=t("../../plots/cartesian/constants"),i=t("../../plot_api/plot_template").templatedArray;t("../../constants/axis_placeable_objects");e.exports=i("image",{visible:{valType:"boolean",dflt:!0,editType:"arraydraw"},source:{valType:"string",editType:"arraydraw"},layer:{valType:"enumerated",values:["below","above"],dflt:"above",editType:"arraydraw"},sizex:{valType:"number",dflt:0,editType:"arraydraw"},sizey:{valType:"number",dflt:0,editType:"arraydraw"},sizing:{valType:"enumerated",values:["fill","contain","stretch"],dflt:"contain",editType:"arraydraw"},opacity:{valType:"number",min:0,max:1,dflt:1,editType:"arraydraw"},x:{valType:"any",dflt:0,editType:"arraydraw"},y:{valType:"any",dflt:0,editType:"arraydraw"},xanchor:{valType:"enumerated",values:["left","center","right"],dflt:"left",editType:"arraydraw"},yanchor:{valType:"enumerated",values:["top","middle","bottom"],dflt:"top",editType:"arraydraw"},xref:{valType:"enumerated",values:["paper",n.idRegex.x.toString()],dflt:"paper",editType:"arraydraw"},yref:{valType:"enumerated",values:["paper",n.idRegex.y.toString()],dflt:"paper",editType:"arraydraw"},editType:"arraydraw"})},{"../../constants/axis_placeable_objects":467,"../../plot_api/plot_template":538,"../../plots/cartesian/constants":556}],407:[function(t,e,r){"use 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r=t[0].trace,o=n.select(this).select("g.legendpoints").selectAll("path.legendbox").data(r.visible&&i.traceIs(r,"box-violin")?[t]:[]);o.enter().append("path").classed("legendbox",!0).attr("d","M6,6H-6V-6H6Z").attr("transform",_),o.exit().remove(),o.each((function(){var t=n.select(this);if("all"!==r.boxpoints&&"all"!==r.points||0!==l.opacity(r.fillcolor)||0!==l.opacity((r.line||{}).color)){var i=w(void 0,r.line,5,2);t.style("stroke-width",i+"px").call(l.fill,r.fillcolor),i&&l.stroke(t,r.line.color)}else{var c=a.minExtend(r,{marker:{size:y?12:a.constrain(r.marker.size,2,16),sizeref:1,sizemin:1,sizemode:"diameter"}});o.call(s.pointStyle,c,e)}}))})).each((function(t){k(t,this,"funnelarea")})).each((function(t){k(t,this,"pie")})).each((function(t){var 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p,d="in"===l?.5:2,m=(1+d)/2,g=(1-d)/2;for(i=0;i<f.length;i++)if(!(r=f[i]).fixedrange)if(p=r._name,"auto"===l)u[p+".autorange"]=!0;else if("reset"===l){if(void 0===r._rangeInitial)u[p+".autorange"]=!0;else{var v=r._rangeInitial.slice();u[p+".range[0]"]=v[0],u[p+".range[1]"]=v[1]}void 0!==r._showSpikeInitial&&(u[p+".showspikes"]=r._showSpikeInitial,"on"!==h||r._showSpikeInitial||(h="off"))}else{var y=[r.r2l(r.range[0]),r.r2l(r.range[1])],x=[m*y[0]+g*y[1],m*y[1]+g*y[0]];u[p+".range[0]"]=r.l2r(x[0]),u[p+".range[1]"]=r.l2r(x[1])}}else"hovermode"!==s||"x"!==l&&"y"!==l||(l=c._isHoriz?"y":"x",o.setAttribute("data-val",l)),u[s]=l;c._cartesianSpikesEnabled=h,n.call("_guiRelayout",t,u)}function h(t,e){for(var r=e.currentTarget,i=r.getAttribute("data-attr"),a=r.getAttribute("data-val")||!0,o=t._fullLayout._subplots.gl3d||[],s={},l=i.split("."),c=0;c<o.length;c++)s[o[c]+"."+l[1]]=a;var u="pan"===a?a:"zoom";s.dragmode=u,n.call("_guiRelayout",t,s)}function p(t,e){for(var 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r=e.currentTarget,i=r.getAttribute("data-attr"),a=r.getAttribute("data-val")||!0,o=t._fullLayout,s=o._subplots.geo||[],l=0;l<s.length;l++){var c=s[l],u=o[c];if("zoom"===i){var f=u.projection.scale,h="in"===a?2*f:.5*f;n.call("_guiRelayout",t,c+".projection.scale",h)}}"reset"===i&&x(t,"geo")}function g(t){var e=t._fullLayout;return!e.hovermode&&(e._has("cartesian")?e._isHoriz?"y":"x":"closest")}function v(t){var e=g(t);n.call("_guiRelayout",t,"hovermode",e)}function y(t,e){for(var r=e.currentTarget.getAttribute("data-val"),i=t._fullLayout,a=i._subplots.mapbox||[],o={},s=0;s<a.length;s++){var l=a[s],c=i[l].zoom,u="in"===r?1.05*c:c/1.05;o[l+".zoom"]=u}n.call("_guiRelayout",t,o)}function x(t,e){for(var r=t._fullLayout,i=r._subplots[e]||[],a={},o=0;o<i.length;o++)for(var s=i[o],l=r[s]._subplot.viewInitial,c=Object.keys(l),u=0;u<c.length;u++){var f=c[u];a[s+"."+f]=l[f]}n.call("_guiRelayout",t,a)}u.toImage={name:"toImage",title:function(t){var e=(t._context.toImageButtonOptions||{}).format||"png";return c(t,"png"===e?"Download plot as a png":"Download plot")},icon:o.camera,click:function(t){var e=t._context.toImageButtonOptions,r={format:e.format||"png"};l.notifier(c(t,"Taking snapshot - this may take a few seconds"),"long"),"svg"!==r.format&&l.isIE()&&(l.notifier(c(t,"IE only supports svg.  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hover")},attr:"hovermode",val:null,toggle:!0,icon:o.tooltip_basic,gravity:"ne",click:v},u.hoverClosestGl2d={name:"hoverClosestGl2d",_cat:"hoverclosest",title:function(t){return c(t,"Toggle show closest data on hover")},attr:"hovermode",val:null,toggle:!0,icon:o.tooltip_basic,gravity:"ne",click:v},u.hoverClosestPie={name:"hoverClosestPie",_cat:"hoverclosest",title:function(t){return c(t,"Toggle show closest data on hover")},attr:"hovermode",val:"closest",icon:o.tooltip_basic,gravity:"ne",click:v},u.resetViewSankey={name:"resetSankeyGroup",title:function(t){return c(t,"Reset view")},icon:o.home,click:function(t){for(var e={"node.groups":[],"node.x":[],"node.y":[]},r=0;r<t._fullData.length;r++){var i=t._fullData[r]._viewInitial;e["node.groups"].push(i.node.groups.slice()),e["node.x"].push(i.node.x.slice()),e["node.y"].push(i.node.y.slice())}n.call("restyle",t,e)}},u.toggleHover={name:"toggleHover",title:function(t){return c(t,"Toggle show closest data on hover")},attr:"hovermode",val:null,toggle:!0,icon:o.tooltip_basic,gravity:"ne",click:function(t,e){var r=d(t,e);r.hovermode=g(t),n.call("_guiRelayout",t,r)}},u.resetViews={name:"resetViews",title:function(t){return c(t,"Reset views")},icon:o.home,click:function(t,e){var r=e.currentTarget;r.setAttribute("data-attr","zoom"),r.setAttribute("data-val","reset"),f(t,e),r.setAttribute("data-attr","resetLastSave"),p(t,e),x(t,"geo"),x(t,"mapbox")}},u.toggleSpikelines={name:"toggleSpikelines",title:function(t){return c(t,"Toggle Spike Lines")},icon:o.spikeline,attr:"_cartesianSpikesEnabled",val:"on",click:function(t){var e=t._fullLayout,r=e._cartesianSpikesEnabled;e._cartesianSpikesEnabled="on"===r?"off":"on",n.call("_guiRelayout",t,function(t){for(var e="on"===t._fullLayout._cartesianSpikesEnabled,r=a.list(t,null,!0),n={},i=0;i<r.length;i++){var o=r[i];n[o._name+".showspikes"]=!!e||o._showSpikeInitial}return n}(t))}},u.resetViewMapbox={name:"resetViewMapbox",_cat:"resetView",title:function(t){return c(t,"Reset view")},attr:"reset",icon:o.home,click:function(t){x(t,"mapbox")}},u.zoomInMapbox={name:"zoomInMapbox",_cat:"zoomin",title:function(t){return c(t,"Zoom in")},attr:"zoom",val:"in",icon:o.zoom_plus,click:y},u.zoomOutMapbox={name:"zoomOutMapbox",_cat:"zoomout",title:function(t){return c(t,"Zoom out")},attr:"zoom",val:"out",icon:o.zoom_minus,click:y}},{"../../fonts/ploticon":477,"../../lib":498,"../../plots/cartesian/axis_ids":553,"../../plots/plots":614,"../../registry":633,"../shapes/draw":445}],422:[function(t,e,r){"use strict";var n=t("./buttons"),i=Object.keys(n),a=["drawline","drawopenpath","drawclosedpath","drawcircle","drawrect","eraseshape"],o=["v1hovermode","hoverclosest","hovercompare","togglehover","togglespikelines"].concat(a),s=[];i.forEach((function(t){!function(t){if(-1===o.indexOf(t._cat||t.name)){var 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r,n,a,o,s=t._fullLayout,c=s._plots,u=s._subplots.cartesian;if(ut&&l.subplotsRegistry.splom.drag(t),ct)for(r=0;r<u.length;r++)if(a=(n=c[u[r]]).xaxis,o=n.yaxis,n._scene){var f=i.simpleMap(a.range,a.r2l),p=i.simpleMap(o.range,o.r2l);n._scene.update({range:[f[0],p[0],f[1],p[1]]})}if((ut||ct)&&(_(t),w(t)),ft){var d=e[2]/I._length,g=e[3]/O._length;for(r=0;r<u.length;r++){a=(n=c[u[r]]).xaxis,o=n.yaxis;var y,x,b,T,k=(st||nt.isSubplotConstrained)&&!a.fixedrange&&V[a._id],A=(lt||nt.isSubplotConstrained)&&!o.fixedrange&&Z[o._id];if(k?(y=d,b=v||nt.isSubplotConstrained?e[0]:Zt(a,y)):nt.xaHash[a._id]?(y=d,b=e[0]*a._length/I._length):nt.yaHash[a._id]?(y=g,b="ns"===at?-e[1]*a._length/O._length:Zt(a,y,{n:"top",s:"bottom"}[at])):b=Xt(a,y=Wt(a,d,g)),A?(x=g,T=m||nt.isSubplotConstrained?e[1]:Zt(o,x)):nt.yaHash[o._id]?(x=g,T=e[1]*o._length/O._length):nt.xaHash[o._id]?(x=d,T="ew"===it?-e[0]*o._length/I._length:Zt(o,x,{e:"right",w:"left"}[it])):T=Xt(o,x=Wt(o,d,g)),y||x){y||(y=1),x||(x=1);var M=a._offset-b/y,S=o._offset-T/x;n.clipRect.call(h.setTranslate,b,T).call(h.setScale,y,x),n.plot.call(h.setTranslate,M,S).call(h.setScale,1/y,1/x),y===n.xScaleFactor&&x===n.yScaleFactor||(h.setPointGroupScale(n.zoomScalePts,y,x),h.setTextPointsScale(n.zoomScaleTxt,y,x)),h.hideOutsideRangePoints(n.clipOnAxisFalseTraces,n),n.xScaleFactor=y,n.yScaleFactor=x}}}}function Wt(t,e,r){return t.fixedrange?0:st&&rt.xaHash[t._id]?e:lt&&(rt.isSubplotConstrained?rt.xaHash:rt.yaHash)[t._id]?r:0}function Xt(t,e){return e?(t.range=t._r.slice(),E(t,e),Zt(t,e)):0}function Zt(t,e,r){return t._length*(1-e)*b[r||t.constraintoward||"middle"]}return m.length*v.length!=1&&W(bt,(function(e){if(t._context._scrollZoom.cartesian||t._fullLayout._enablescrollzoom){if(It(),t._transitioningWithDuration)return e.preventDefault(),void e.stopPropagation();yt(),clearTimeout(Bt);var r=-e.deltaY;if(isFinite(r)||(r=e.wheelDelta/10),isFinite(r)){var n,a=Math.exp(-Math.min(Math.max(r,-20),20)/200),o=jt.draglayer.select(".nsewdrag").node().getBoundingClientRect(),s=(e.clientX-o.left)/o.width,l=(o.bottom-e.clientY)/o.height;if(st){for(v||(s=.5),n=0;n<J.length;n++)c(J[n],s,a);Vt("x"),Ft[2]*=a,Ft[0]+=Ft[2]*s*(1/a-1)}if(lt){for(m||(l=.5),n=0;n<K.length;n++)c(K[n],l,a);Vt("y"),Ft[3]*=a,Ft[1]+=Ft[3]*(1-l)*(1/a-1)}Yt(Ft),Ht(),t.emit("plotly_relayouting",ht),Bt=setTimeout((function(){t._fullLayout&&(Ft=[0,0,tt,et],Gt())}),Nt),e.preventDefault()}else i.log("Did not find wheel motion attributes: ",e)}function c(t,e,r){if(!t.fixedrange){var n=i.simpleMap(t.range,t.r2l),a=n[0]+(n[1]-n[0])*e;t.range=n.map((function(e){return t.l2r(a+(e-a)*r)}))}}})),bt},makeDragger:O,makeRectDragger:z,makeZoombox:N,makeCorners:j,updateZoombox:U,xyCorners:G,transitionZoombox:V,removeZoombox:H,showDoubleClickNotifier:q,attachWheelEventHandler:W}},{"../../components/color":361,"../../components/dragelement":380,"../../components/dragelement/helpers":379,"../../components/drawing":383,"../../components/fx":401,"../../constants/alignment":466,"../../lib":498,"../../lib/clear_gl_canvases":482,"../../lib/setcursor":519,"../../lib/svg_text_utils":524,"../../plot_api/subroutines":539,"../../registry":633,"../plots":614,"./axes":549,"./axis_ids":553,"./constants":556,"./scale_zoom":569,"./select":570,"@plotly/d3":58,"has-passive-events":224,tinycolor2:307}],559:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../../components/fx"),a=t("../../components/dragelement"),o=t("../../lib/setcursor"),s=t("./dragbox").makeDragBox,l=t("./constants").DRAGGERSIZE;r.initInteractions=function(t){var e=t._fullLayout;if(t._context.staticPlot)n.select(t).selectAll(".drag").remove();else if(e._has("cartesian")||e._has("splom")){Object.keys(e._plots||{}).sort((function(t,r){if((e._plots[t].mainplot&&!0)===(e._plots[r].mainplot&&!0)){var n=t.split("y"),i=r.split("y");return n[0]===i[0]?Number(n[1]||1)-Number(i[1]||1):Number(n[0]||1)-Number(i[0]||1)}return e._plots[t].mainplot?1:-1})).forEach((function(r){var n=e._plots[r],o=n.xaxis,c=n.yaxis;if(!n.mainplot){var u=s(t,n,o._offset,c._offset,o._length,c._length,"ns","ew");u.onmousemove=function(e){t._fullLayout._rehover=function(){t._fullLayout._hoversubplot===r&&t._fullLayout._plots[r]&&i.hover(t,e,r)},i.hover(t,e,r),t._fullLayout._lasthover=u,t._fullLayout._hoversubplot=r},u.onmouseout=function(e){t._dragging||(t._fullLayout._hoversubplot=null,a.unhover(t,e))},t._context.showAxisDragHandles&&(s(t,n,o._offset-l,c._offset-l,l,l,"n","w"),s(t,n,o._offset+o._length,c._offset-l,l,l,"n","e"),s(t,n,o._offset-l,c._offset+c._length,l,l,"s","w"),s(t,n,o._offset+o._length,c._offset+c._length,l,l,"s","e"))}if(t._context.showAxisDragHandles){if(r===o._mainSubplot){var f=o._mainLinePosition;"top"===o.side&&(f-=l),s(t,n,o._offset+.1*o._length,f,.8*o._length,l,"","ew"),s(t,n,o._offset,f,.1*o._length,l,"","w"),s(t,n,o._offset+.9*o._length,f,.1*o._length,l,"","e")}if(r===c._mainSubplot){var 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e=t._fullLayout._zoomlayer;e&&e.selectAll(".select-outline").remove(),t._fullLayout._drawing=!1}}},{}],561:[function(t,e,r){"use strict";var n=t("../../lib").strTranslate;function i(t,e){switch(t.type){case"log":return t.p2d(e);case"date":return t.p2r(e,0,t.calendar);default:return t.p2r(e)}}e.exports={p2r:i,r2p:function(t,e){switch(t.type){case"log":return t.d2p(e);case"date":return t.r2p(e,0,t.calendar);default:return t.r2p(e)}},axValue:function(t){var e="y"===t._id.charAt(0)?1:0;return function(r){return i(t,r[e])}},getTransform:function(t){return n(t.xaxis._offset,t.yaxis._offset)}}},{"../../lib":498}],562:[function(t,e,r){"use strict";var n=t("../../registry"),i=t("../../lib"),a=t("./axis_ids");e.exports=function(t){return function(e,r){var o=e[t];if(Array.isArray(o))for(var s=n.subplotsRegistry.cartesian,l=s.idRegex,c=r._subplots,u=c.xaxis,f=c.yaxis,h=c.cartesian,p=r._has("cartesian")||r._has("gl2d"),d=0;d<o.length;d++){var m=o[d];if(i.isPlainObject(m)){var 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n=t("polybooljs"),i=t("../../registry"),a=t("../../components/drawing").dashStyle,o=t("../../components/color"),s=t("../../components/fx"),l=t("../../components/fx/helpers").makeEventData,c=t("../../components/dragelement/helpers"),u=c.freeMode,f=c.rectMode,h=c.drawMode,p=c.openMode,d=c.selectMode,m=t("../../components/shapes/draw_newshape/display_outlines"),g=t("../../components/shapes/draw_newshape/helpers").handleEllipse,v=t("../../components/shapes/draw_newshape/newshapes"),y=t("../../lib"),x=t("../../lib/polygon"),b=t("../../lib/throttle"),_=t("./axis_ids").getFromId,w=t("../../lib/clear_gl_canvases"),T=t("../../plot_api/subroutines").redrawReglTraces,k=t("./constants"),A=k.MINSELECT,M=x.filter,S=x.tester,E=t("./handle_outline").clearSelect,L=t("./helpers"),C=L.p2r,P=L.axValue,I=L.getTransform;function O(t,e,r,n,i,a,o){var s,l,c,u,f,h,d,g,v,y=e._hoverdata,x=e._fullLayout.clickmode.indexOf("event")>-1,b=[];if(function(t){return 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d=!1;for(n=0;n<e.length;n++){s=(o=(a=e[n]).cd)[0].trace,i.traceIs(s,"regl")&&(d=!0);var m=a._module,g=m.styleOnSelect||m.style;g&&(g(t,o,o[0].node3),o[0].nodeRangePlot3&&g(t,o,o[0].nodeRangePlot3))}d&&(w(t),T(t))}function V(t,e){if(Array.isArray(t))for(var r=e.cd,n=e.cd[0].trace,i=0;i<t.length;i++)t[i]=l(t[i],n,r);return t}function H(t,e){for(var r=[],n=0;n<t.length;n++){r[n]=[];for(var i=0;i<t[n].length;i++){r[n][i]=[],r[n][i][0]=i?"L":"M";for(var a=0;a<t[n][i].length;a++)r[n][i].push(t[n][i][a])}e||r[n].push(["Z",r[n][0][1],r[n][0][2]])}return r}e.exports={prepSelect:function(t,e,r,i,l){var c=u(l),v=f(l),x=p(l),_=h(l),w=d(l),T="drawcircle"===l,E="drawline"===l||T,L=i.gd,z=L._fullLayout,D=z._zoomlayer,j=i.element.getBoundingClientRect(),q=i.plotinfo,G=I(q),Y=e-j.left,W=r-j.top;z._calcInverseTransform(L);var X=y.apply3DTransform(z._invTransform)(Y,W);Y=X[0],W=X[1];var 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v(t,e){var r=t[0],n=t[1],i=t[2],a=t[3],o=e[0],s=e[1],l=e[2],c=e[3];return[r*o-n*s-i*l-a*c,r*s+n*o+i*c-a*l,r*l-n*c+i*o+a*s,r*c+n*l-i*s+a*o]}function y(t,e){if(t&&e){var r=function(t,e){return[t[1]*e[2]-t[2]*e[1],t[2]*e[0]-t[0]*e[2],t[0]*e[1]-t[1]*e[0]]}(t,e),n=Math.sqrt(k(r,r)),i=.5*Math.acos(Math.max(-1,Math.min(1,k(t,e)))),a=Math.sin(i)/n;return n&&[Math.cos(i),r[2]*a,-r[1]*a,r[0]*a]}}function x(t,e,r){var n=w(e,2,t[0]);n=w(n,1,t[1]),n=w(n,0,t[2]-r[2]);var i,a,o=e[0],l=e[1],c=e[2],u=n[0],f=n[1],h=n[2],p=Math.atan2(l,o)*s,d=Math.sqrt(o*o+l*l);Math.abs(f)>d?(a=(f>0?90:-90)-p,i=0):(a=Math.asin(f/d)*s-p,i=Math.sqrt(d*d-f*f));var m=180-a-2*p,g=(Math.atan2(h,u)-Math.atan2(c,i))*s,v=(Math.atan2(h,u)-Math.atan2(c,-i))*s;return b(r[0],r[1],a,g)<=b(r[0],r[1],m,v)?[a,g,r[2]]:[m,v,r[2]]}function b(t,e,r,n){var i=_(r-t),a=_(n-e);return Math.sqrt(i*i+a*a)}function _(t){return(t%360+540)%360-180}function w(t,e,r){var n=r*o,i=t.slice(),a=0===e?1:0,s=2===e?1:2,l=Math.cos(n),c=Math.sin(n);return i[a]=t[a]*l-t[s]*c,i[s]=t[s]*l+t[a]*c,i}function T(t){return[Math.atan2(2*(t[0]*t[1]+t[2]*t[3]),1-2*(t[1]*t[1]+t[2]*t[2]))*s,Math.asin(Math.max(-1,Math.min(1,2*(t[0]*t[2]-t[3]*t[1]))))*s,Math.atan2(2*(t[0]*t[3]+t[1]*t[2]),1-2*(t[2]*t[2]+t[3]*t[3]))*s]}function k(t,e){for(var r=0,n=0,i=t.length;n<i;++n)r+=t[n]*e[n];return r}e.exports=function(t,e){var r=t.projection;return(e._isScoped?h:e._isClipped?d:p)(t,r)}},{"../../lib":498,"../../registry":633,"@plotly/d3":58}],588:[function(t,e,r){"use strict";var n=t("../registry"),i=t("./cartesian/constants").SUBPLOT_PATTERN;r.getSubplotCalcData=function(t,e,r){var i=n.subplotsRegistry[e];if(!i)return[];for(var a=i.attr,o=[],s=0;s<t.length;s++){var l=t[s];l[0].trace[a]===r&&o.push(l)}return o},r.getModuleCalcData=function(t,e){var r,i=[],a=[];if(!(r="string"==typeof e?n.getModule(e).plot:"function"==typeof e?e:e.plot))return[i,t];for(var o=0;o<t.length;o++){var s=t[o],l=s[0].trace;!0===l.visible&&0!==l._length&&(l._module.plot===r?i.push(s):a.push(s))}return[i,a]},r.getSubplotData=function(t,e,r){if(!n.subplotsRegistry[e])return[];var a,o,s,l=n.subplotsRegistry[e].attr,c=[];if("gl2d"===e){var u=r.match(i);o="x"+u[1],s="y"+u[2]}for(var f=0;f<t.length;f++)a=t[f],"gl2d"===e&&n.traceIs(a,"gl2d")?a[l[0]]===o&&a[l[1]]===s&&c.push(a):a[l]===r&&c.push(a);return c}},{"../registry":633,"./cartesian/constants":556}],589:[function(t,e,r){"use strict";var n=t("mouse-change"),i=t("mouse-wheel"),a=t("mouse-event-offset"),o=t("../cartesian/constants"),s=t("has-passive-events");function l(t,e){this.element=t,this.plot=e,this.mouseListener=null,this.wheelListener=null,this.lastInputTime=Date.now(),this.lastPos=[0,0],this.boxEnabled=!1,this.boxInited=!1,this.boxStart=[0,0],this.boxEnd=[0,0],this.dragStart=[0,0]}e.exports=function(t){var e=t.mouseContainer,r=t.glplot,c=new l(e,r);function u(){t.xaxis.autorange=!1,t.yaxis.autorange=!1}function f(e,n,i){var a,s,l=t.calcDataBox(),f=r.viewBox,h=c.lastPos[0],p=c.lastPos[1],d=o.MINDRAG*r.pixelRatio,m=o.MINZOOM*r.pixelRatio;function g(e,r,n){var i=Math.min(r,n),a=Math.max(r,n);i!==a?(l[e]=i,l[e+2]=a,c.dataBox=l,t.setRanges(l)):(t.selectBox.selectBox=[0,0,1,1],t.glplot.setDirty())}switch(n*=r.pixelRatio,i*=r.pixelRatio,i=f[3]-f[1]-i,t.fullLayout.dragmode){case"zoom":if(e){var v=n/(f[2]-f[0])*(l[2]-l[0])+l[0],y=i/(f[3]-f[1])*(l[3]-l[1])+l[1];c.boxInited||(c.boxStart[0]=v,c.boxStart[1]=y,c.dragStart[0]=n,c.dragStart[1]=i),c.boxEnd[0]=v,c.boxEnd[1]=y,c.boxInited=!0,c.boxEnabled||c.boxStart[0]===c.boxEnd[0]&&c.boxStart[1]===c.boxEnd[1]||(c.boxEnabled=!0);var x=Math.abs(c.dragStart[0]-n)<m,b=Math.abs(c.dragStart[1]-i)<m;if(!function(){for(var e=t.graphDiv._fullLayout._axisConstraintGroups,r=t.xaxis._id,n=t.yaxis._id,i=0;i<e.length;i++)if(-1!==e[i][r]){if(-1!==e[i][n])return!0;break}return!1}()||x&&b)x&&(c.boxEnd[0]=c.boxStart[0]),b&&(c.boxEnd[1]=c.boxStart[1]);else{a=c.boxEnd[0]-c.boxStart[0],s=c.boxEnd[1]-c.boxStart[1];var _=(l[3]-l[1])/(l[2]-l[0]);Math.abs(a*_)>Math.abs(s)?(c.boxEnd[1]=c.boxStart[1]+Math.abs(a)*_*(s>=0?1:-1),c.boxEnd[1]<l[1]?(c.boxEnd[1]=l[1],c.boxEnd[0]=c.boxStart[0]+(l[1]-c.boxStart[1])/Math.abs(_)):c.boxEnd[1]>l[3]&&(c.boxEnd[1]=l[3],c.boxEnd[0]=c.boxStart[0]+(l[3]-c.boxStart[1])/Math.abs(_))):(c.boxEnd[0]=c.boxStart[0]+Math.abs(s)/_*(a>=0?1:-1),c.boxEnd[0]<l[0]?(c.boxEnd[0]=l[0],c.boxEnd[1]=c.boxStart[1]+(l[0]-c.boxStart[0])*Math.abs(_)):c.boxEnd[0]>l[2]&&(c.boxEnd[0]=l[2],c.boxEnd[1]=c.boxStart[1]+(l[2]-c.boxStart[0])*Math.abs(_)))}}else c.boxEnabled?(a=c.boxStart[0]!==c.boxEnd[0],s=c.boxStart[1]!==c.boxEnd[1],a||s?(a&&(g(0,c.boxStart[0],c.boxEnd[0]),t.xaxis.autorange=!1),s&&(g(1,c.boxStart[1],c.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),c.boxEnabled=!1,c.boxInited=!1):c.boxInited&&(c.boxInited=!1);break;case"pan":c.boxEnabled=!1,c.boxInited=!1,e?(c.panning||(c.dragStart[0]=n,c.dragStart[1]=i),Math.abs(c.dragStart[0]-n)<d&&(n=c.dragStart[0]),Math.abs(c.dragStart[1]-i)<d&&(i=c.dragStart[1]),a=(h-n)*(l[2]-l[0])/(r.viewBox[2]-r.viewBox[0]),s=(p-i)*(l[3]-l[1])/(r.viewBox[3]-r.viewBox[1]),l[0]+=a,l[2]+=a,l[1]+=s,l[3]+=s,t.setRanges(l),c.panning=!0,c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations()):c.panning&&(c.panning=!1,t.relayoutCallback())}c.lastPos[0]=n,c.lastPos[1]=i}return c.mouseListener=n(e,f),e.addEventListener("touchstart",(function(t){var r=a(t.changedTouches[0],e);f(0,r[0],r[1]),f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener("touchmove",(function(t){t.preventDefault();var r=a(t.changedTouches[0],e);f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener("touchend",(function(t){f(0,c.lastPos[0],c.lastPos[1]),t.preventDefault()}),!!s&&{passive:!1}),c.wheelListener=i(e,(function(e,n){if(!t.scrollZoom)return!1;var i=t.calcDataBox(),a=r.viewBox,o=c.lastPos[0],s=c.lastPos[1],l=Math.exp(5*n/(a[3]-a[1])),f=o/(a[2]-a[0])*(i[2]-i[0])+i[0],h=s/(a[3]-a[1])*(i[3]-i[1])+i[1];return i[0]=(i[0]-f)*l+f,i[2]=(i[2]-f)*l+f,i[1]=(i[1]-h)*l+h,i[3]=(i[3]-h)*l+h,t.setRanges(i),c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0}),!0),c}},{"../cartesian/constants":556,"has-passive-events":224,"mouse-change":236,"mouse-event-offset":237,"mouse-wheel":239}],590:[function(t,e,r){"use strict";var n=t("../cartesian/axes"),i=t("../../lib/str2rgbarray");function a(t){this.scene=t,this.gl=t.gl,this.pixelRatio=t.pixelRatio,this.screenBox=[0,0,1,1],this.viewBox=[0,0,1,1],this.dataBox=[-1,-1,1,1],this.borderLineEnable=[!1,!1,!1,!1],this.borderLineWidth=[1,1,1,1],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.ticks=[[],[]],this.tickEnable=[!0,!0,!1,!1],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labels=["x","y"],this.labelEnable=[!0,!0,!1,!1],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelPad=[15,15,15,15],this.labelSize=[12,12],this.labelFont=["sans-serif","sans-serif"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.title="",this.titleEnable=!0,this.titleCenter=[0,0,0,0],this.titleAngle=0,this.titleColor=[0,0,0,1],this.titleFont="sans-serif",this.titleSize=18,this.gridLineEnable=[!0,!0],this.gridLineColor=[[0,0,0,.5],[0,0,0,.5]],this.gridLineWidth=[1,1],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[1,1],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.static=this.scene.staticPlot}var o=a.prototype,s=["xaxis","yaxis"];o.merge=function(t){var e,r,n,a,o,l,c,u,f,h,p;for(this.titleEnable=!1,this.backgroundColor=i(t.plot_bgcolor),h=0;h<2;++h){var d=(e=s[h]).charAt(0);for(n=(r=t[this.scene[e]._name]).title.text===this.scene.fullLayout._dfltTitle[d]?"":r.title.text,p=0;p<=2;p+=2)this.labelEnable[h+p]=!1,this.labels[h+p]=n,this.labelColor[h+p]=i(r.title.font.color),this.labelFont[h+p]=r.title.font.family,this.labelSize[h+p]=r.title.font.size,this.labelPad[h+p]=this.getLabelPad(e,r),this.tickEnable[h+p]=!1,this.tickColor[h+p]=i((r.tickfont||{}).color),this.tickAngle[h+p]="auto"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[h+p]=this.getTickPad(r),this.tickMarkLength[h+p]=0,this.tickMarkWidth[h+p]=r.tickwidth||0,this.tickMarkColor[h+p]=i(r.tickcolor),this.borderLineEnable[h+p]=!1,this.borderLineColor[h+p]=i(r.linecolor),this.borderLineWidth[h+p]=r.linewidth||0;c=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!c,l=this.hasAxisInAltrPos(e,r)&&!c,a=r.mirror||!1,u=c?-1!==String(a).indexOf("all"):!!a,f=c?"allticks"===a:-1!==String(a).indexOf("ticks"),o?this.labelEnable[h]=!0:l&&(this.labelEnable[h+2]=!0),o?this.tickEnable[h]=r.showticklabels:l&&(this.tickEnable[h+2]=r.showticklabels),(o||u)&&(this.borderLineEnable[h]=r.showline),(l||u)&&(this.borderLineEnable[h+2]=r.showline),(o||f)&&(this.tickMarkLength[h]=this.getTickMarkLength(r)),(l||f)&&(this.tickMarkLength[h+2]=this.getTickMarkLength(r)),this.gridLineEnable[h]=r.showgrid,this.gridLineColor[h]=i(r.gridcolor),this.gridLineWidth[h]=r.gridwidth,this.zeroLineEnable[h]=r.zeroline,this.zeroLineColor[h]=i(r.zerolinecolor),this.zeroLineWidth[h]=r.zerolinewidth}},o.hasSharedAxis=function(t){var e=this.scene,r=e.fullLayout._subplots.gl2d;return 0!==n.findSubplotsWithAxis(r,t).indexOf(e.id)},o.hasAxisInDfltPos=function(t,e){var r=e.side;return"xaxis"===t?"bottom"===r:"yaxis"===t?"left"===r:void 0},o.hasAxisInAltrPos=function(t,e){var r=e.side;return"xaxis"===t?"top"===r:"yaxis"===t?"right"===r:void 0},o.getLabelPad=function(t,e){var r=e.title.font.size,n=e.showticklabels;return"xaxis"===t?"top"===e.side?r*(1.5+(n?1:0))-10:r*(1.5+(n?.5:0))-10:"yaxis"===t?"right"===e.side?10+r*(1.5+(n?1:.5)):10+r*(1.5+(n?.5:0)):void 0},o.getTickPad=function(t){return"outside"===t.ticks?10+t.ticklen:15},o.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return"inside"===t.ticks?-e:e},e.exports=function(t){return new a(t)}},{"../../lib/str2rgbarray":523,"../cartesian/axes":549}],591:[function(t,e,r){"use strict";var n=t("../../plot_api/edit_types").overrideAll,i=t("./scene2d"),a=t("../layout_attributes"),o=t("../../constants/xmlns_namespaces"),s=t("../cartesian/constants"),l=t("../cartesian"),c=t("../../components/fx/layout_attributes"),u=t("../get_data").getSubplotData;r.name="gl2d",r.attr=["xaxis","yaxis"],r.idRoot=["x","y"],r.idRegex=s.idRegex,r.attrRegex=s.attrRegex,r.attributes=t("../cartesian/attributes"),r.supplyLayoutDefaults=function(t,e,r){e._has("cartesian")||l.supplyLayoutDefaults(t,e,r)},r.layoutAttrOverrides=n(l.layoutAttributes,"plot","from-root"),r.baseLayoutAttrOverrides=n({plot_bgcolor:a.plot_bgcolor,hoverlabel:c.hoverlabel},"plot","nested"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,a=0;a<n.length;a++){var o=n[a],s=e._plots[o],l=u(r,"gl2d",o),c=s._scene2d;void 0===c&&(c=new i({id:o,graphDiv:t,container:t.querySelector(".gl-container"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=c),c.plot(l,t.calcdata,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=n._subplots.gl2d||[],a=0;a<i.length;a++){var o=i[a],s=n._plots[o];if(s._scene2d){var c=u(t,"gl2d",o);0===c.length&&(s._scene2d.destroy(),delete n._plots[o])}}l.clean.apply(this,arguments)},r.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var i=e._plots[r[n]]._scene2d,a=i.toImage("png");e._glimages.append("svg:image").attr({xmlns:o.svg,"xlink:href":a,x:0,y:0,width:"100%",height:"100%",preserveAspectRatio:"none"}),i.destroy()}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){e._plots[r[n]]._scene2d.updateFx(e.dragmode)}}},{"../../components/fx/layout_attributes":402,"../../constants/xmlns_namespaces":475,"../../plot_api/edit_types":531,"../cartesian":563,"../cartesian/attributes":547,"../cartesian/constants":556,"../get_data":588,"../layout_attributes":605,"./scene2d":592}],592:[function(t,e,r){"use strict";var n,i,a=t("../../registry"),o=t("../../plots/cartesian/axes"),s=t("../../components/fx"),l=t("../../../stackgl_modules").gl_plot2d,c=t("../../../stackgl_modules").gl_spikes2d,u=t("../../../stackgl_modules").gl_select_box,f=t("webgl-context"),h=t("./convert"),p=t("./camera"),d=t("../../lib/show_no_webgl_msg"),m=t("../cartesian/constraints"),g=m.enforce,v=m.clean,y=t("../cartesian/autorange").doAutoRange,x=t("../../components/dragelement/helpers"),b=x.drawMode,_=x.selectMode,w=["xaxis","yaxis"],T=t("../cartesian/constants").SUBPLOT_PATTERN;function k(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context._scrollZoom.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=h(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=c(this.glplot),this.selectBox=u(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}e.exports=k;var A=k.prototype;A.makeFramework=function(){if(this.staticPlot){if(!(i||(n=document.createElement("canvas"),i=f({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error("Error creating static canvas/context for image server");this.canvas=n,this.gl=i}else{var t=this.container.querySelector(".gl-canvas-focus"),e=f({canvas:t,preserveDrawingBuffer:!0,premultipliedAlpha:!0});if(!e)return d(this),void(this.stopped=!0);this.canvas=t,this.gl=e}var r=this.canvas;r.style.width="100%",r.style.height="100%",r.style.position="absolute",r.style.top="0px",r.style.left="0px",r.style["pointer-events"]="none",this.updateSize(r);var a=this.svgContainer=document.createElementNS("http://www.w3.org/2000/svg","svg");a.style.position="absolute",a.style.top=a.style.left="0px",a.style.width=a.style.height="100%",a.style["z-index"]=20,a.style["pointer-events"]="none";var o=this.mouseContainer=document.createElement("div");o.style.position="absolute",o.style["pointer-events"]="auto",this.pickCanvas=this.container.querySelector(".gl-canvas-pick");var s=this.container;s.appendChild(a),s.appendChild(o);var l=this;o.addEventListener("mouseout",(function(){l.isMouseOver=!1,l.unhover()})),o.addEventListener("mouseover",(function(){l.isMouseOver=!0}))},A.toImage=function(t){t||(t="png"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a);for(var o=0,s=i-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var c=0;c<4;++c){var u=a[4*(r*o+l)+c];a[4*(r*o+l)+c]=a[4*(r*s+l)+c],a[4*(r*s+l)+c]=u}var f=document.createElement("canvas");f.width=r,f.height=i;var h,p=f.getContext("2d"),d=p.createImageData(r,i);switch(d.data.set(a),p.putImageData(d,0,0),t){case"jpeg":h=f.toDataURL("image/jpeg");break;case"webp":h=f.toDataURL("image/webp");break;default:h=f.toDataURL("image/png")}return this.staticPlot&&this.container.removeChild(n),h},A.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,i=r.height,a=0|Math.ceil(e*n),o=0|Math.ceil(e*i);return t.width===a&&t.height===o||(t.width=a,t.height=o),t},A.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+"";return t},A.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(T),r="xaxis"+e[1],n="yaxis"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},A.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,i={},o=i[e._name+".range"]=e.range.slice(),s=i[r._name+".range"]=r.range.slice();i[e._name+".autorange"]=e.autorange,i[r._name+".autorange"]=r.autorange,a.call("_storeDirectGUIEdit",t.layout,t._fullLayout._preGUI,i);var l=n[e._name];l.range=o,l.autorange=e.autorange;var c=n[r._name];c.range=s,c.autorange=r.autorange,i.lastInputTime=this.camera.lastInputTime,t.emit("plotly_relayout",i)},A.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;a<n.length;++a)if(n[a].x!==i[a].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},A.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&a.getComponentMethod("annotations","drawOne")(t,r)}},A.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map((function(e){t[e].dispose(),delete t[e]})),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener("wheel",this.camera.wheelListener),this.camera=null}},A.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var i=r.width,a=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,i,a];var s={_fullLayout:{_axisConstraintGroups:r._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis,_size:r._size}};v(s,this.xaxis),v(s,this.yaxis);var l,c,u=r._size,f=this.xaxis.domain,h=this.yaxis.domain;for(o.viewBox=[u.l+f[0]*u.w,u.b+h[0]*u.h,i-u.r-(1-f[1])*u.w,a-u.t-(1-h[1])*u.h],this.mouseContainer.style.width=u.w*(f[1]-f[0])+"px",this.mouseContainer.style.height=u.h*(h[1]-h[0])+"px",this.mouseContainer.height=u.h*(h[1]-h[0]),this.mouseContainer.style.left=u.l+f[0]*u.w+"px",this.mouseContainer.style.top=u.t+(1-h[1])*u.h+"px",c=0;c<2;++c)(l=this[w[c]])._length=o.viewBox[c+2]-o.viewBox[c],y(this.graphDiv,l),l.setScale();g(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},A.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,i=t.r2l,a=e.r2l;return[i(r[0]),a(n[0]),i(r[1]),a(n[1])]},A.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,i=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[i(t[1]),i(t[3])]},A.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if((i=t[n]).uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){i=t[r];var l=e[r],c=this.traces[i.uid];c?c.update(i,l):(c=i._module.plot(this,i,l),this.traces[i.uid]=c)}this.glplot.objects.sort((function(t,e){return t._trace.index-e._trace.index}))},A.updateFx=function(t){_(t)||b(t)?(this.pickCanvas.style["pointer-events"]="none",this.mouseContainer.style["pointer-events"]="none"):(this.pickCanvas.style["pointer-events"]="auto",this.mouseContainer.style["pointer-events"]="auto"),this.mouseContainer.style.cursor="pan"===t?"move":"zoom"===t?"crosshair":null},A.emitPointAction=function(t,e){for(var r,n=t.trace.uid,i=t.pointIndex,a=0;a<this.fullData.length;a++)this.fullData[a].uid===n&&(r=this.fullData[a]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:i,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,i),this.graphDiv.emit(e,{points:[o]})},A.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,i=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var a,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&"zoom"===i.dragmode){this.selectBox.enabled=!0;for(var c=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],u=0;u<2;u++)e.boxStart[u]===e.boxEnd[u]&&(c[u]=t.dataBox[u],c[u+2]=t.dataBox[u+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var f=i._size,h=this.xaxis.domain,p=this.yaxis.domain,d=(a=t.pick(o/t.pixelRatio+f.l+h[0]*f.w,l/t.pixelRatio-(f.t+(1-p[1])*f.h)))&&a.object._trace.handlePick(a);if(d&&n&&this.emitPointAction(d,"plotly_click"),a&&"skip"!==a.object._trace.hoverinfo&&i.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var m=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),m.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,"plotly_hover");var g=this.fullData[m.trace.index]||{},v=m.pointIndex,y=s.castHoverinfo(g,i,v);if(y&&"all"!==y){var x=y.split("+");-1===x.indexOf("x")&&(m.traceCoord[0]=void 0),-1===x.indexOf("y")&&(m.traceCoord[1]=void 0),-1===x.indexOf("z")&&(m.traceCoord[2]=void 0),-1===x.indexOf("text")&&(m.textLabel=void 0),-1===x.indexOf("name")&&(m.name=void 0)}s.loneHover({x:m.screenCoord[0],y:m.screenCoord[1],xLabel:this.hoverFormatter("xaxis",m.traceCoord[0]),yLabel:this.hoverFormatter("yaxis",m.traceCoord[1]),zLabel:m.traceCoord[2],text:m.textLabel,name:m.name,color:s.castHoverOption(g,v,"bgcolor")||m.color,borderColor:s.castHoverOption(g,v,"bordercolor"),fontFamily:s.castHoverOption(g,v,"font.family"),fontSize:s.castHoverOption(g,v,"font.size"),fontColor:s.castHoverOption(g,v,"font.color"),nameLength:s.castHoverOption(g,v,"namelength"),textAlign:s.castHoverOption(g,v,"align")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},A.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit("plotly_unhover"),s.loneUnhover(this.svgContainer))},A.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),"hover").text}}},{"../../../stackgl_modules":1119,"../../components/dragelement/helpers":379,"../../components/fx":401,"../../lib/show_no_webgl_msg":520,"../../plots/cartesian/axes":549,"../../registry":633,"../cartesian/autorange":548,"../cartesian/constants":556,"../cartesian/constraints":557,"./camera":589,"./convert":590,"webgl-context":326}],593:[function(t,e,r){"use strict";var n=t("../../plot_api/edit_types").overrideAll,i=t("../../components/fx/layout_attributes"),a=t("./scene"),o=t("../get_data").getSubplotData,s=t("../../lib"),l=t("../../constants/xmlns_namespaces");r.name="gl3d",r.attr="scene",r.idRoot="scene",r.idRegex=r.attrRegex=s.counterRegex("scene"),r.attributes=t("./layout/attributes"),r.layoutAttributes=t("./layout/layout_attributes"),r.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},"plot","nested"),r.supplyLayoutDefaults=t("./layout/defaults"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl3d,i=0;i<n.length;i++){var s=n[i],l=o(r,"gl3d",s),c=e[s],u=c.camera,f=c._scene;f||(f=new a({id:s,graphDiv:t,container:t.querySelector(".gl-container"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:u},e),c._scene=f),f.viewInitial||(f.viewInitial={up:{x:u.up.x,y:u.up.y,z:u.up.z},eye:{x:u.eye.x,y:u.eye.y,z:u.eye.z},center:{x:u.center.x,y:u.center.y,z:u.center.z}}),f.plot(l,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=n._subplots.gl3d||[],a=0;a<i.length;a++){var o=i[a];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(".annotation-"+o).remove())}},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=e._size,i=0;i<r.length;i++){var a=e[r[i]],o=a.domain,s=a._scene,c=s.toImage("png");e._glimages.append("svg:image").attr({xmlns:l.svg,"xlink:href":c,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:"none"}),s.destroy()}},r.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return"1"===e&&(e=""),"scene"+e}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=0;n<r.length;n++){e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}}},{"../../components/fx/layout_attributes":402,"../../constants/xmlns_namespaces":475,"../../lib":498,"../../plot_api/edit_types":531,"../get_data":588,"./layout/attributes":594,"./layout/defaults":598,"./layout/layout_attributes":599,"./scene":603}],594:[function(t,e,r){"use strict";e.exports={scene:{valType:"subplotid",dflt:"scene",editType:"calc+clearAxisTypes"}}},{}],595:[function(t,e,r){"use strict";var n=t("../../../components/color"),i=t("../../cartesian/layout_attributes"),a=t("../../../lib/extend").extendFlat,o=t("../../../plot_api/edit_types").overrideAll;e.exports=o({visible:i.visible,showspikes:{valType:"boolean",dflt:!0},spikesides:{valType:"boolean",dflt:!0},spikethickness:{valType:"number",min:0,dflt:2},spikecolor:{valType:"color",dflt:n.defaultLine},showbackground:{valType:"boolean",dflt:!1},backgroundcolor:{valType:"color",dflt:"rgba(204, 204, 204, 0.5)"},showaxeslabels:{valType:"boolean",dflt:!0},color:i.color,categoryorder:i.categoryorder,categoryarray:i.categoryarray,title:{text:i.title.text,font:i.title.font},type:a({},i.type,{values:["-","linear","log","date","category"]}),autotypenumbers:i.autotypenumbers,autorange:i.autorange,rangemode:i.rangemode,range:a({},i.range,{items:[{valType:"any",editType:"plot",impliedEdits:{"^autorange":!1}},{valType:"any",editType:"plot",impliedEdits:{"^autorange":!1}}],anim:!1}),tickmode:i.tickmode,nticks:i.nticks,tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,mirror:i.mirror,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,tickfont:i.tickfont,tickangle:i.tickangle,tickprefix:i.tickprefix,showtickprefix:i.showtickprefix,ticksuffix:i.ticksuffix,showticksuffix:i.showticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,minexponent:i.minexponent,separatethousands:i.separatethousands,tickformat:i.tickformat,tickformatstops:i.tickformatstops,hoverformat:i.hoverformat,showline:i.showline,linecolor:i.linecolor,linewidth:i.linewidth,showgrid:i.showgrid,gridcolor:a({},i.gridcolor,{dflt:"rgb(204, 204, 204)"}),gridwidth:i.gridwidth,zeroline:i.zeroline,zerolinecolor:i.zerolinecolor,zerolinewidth:i.zerolinewidth,_deprecated:{title:i._deprecated.title,titlefont:i._deprecated.titlefont}},"plot","from-root")},{"../../../components/color":361,"../../../lib/extend":488,"../../../plot_api/edit_types":531,"../../cartesian/layout_attributes":564}],596:[function(t,e,r){"use strict";var n=t("tinycolor2").mix,i=t("../../../lib"),a=t("../../../plot_api/plot_template"),o=t("./axis_attributes"),s=t("../../cartesian/type_defaults"),l=t("../../cartesian/axis_defaults"),c=["xaxis","yaxis","zaxis"];e.exports=function(t,e,r){var u,f;function h(t,e){return i.coerce(u,f,o,t,e)}for(var p=0;p<c.length;p++){var d=c[p];u=t[d]||{},(f=a.newContainer(e,d))._id=d[0]+r.scene,f._name=d,s(u,f,h,r),l(u,f,h,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelstep:!0,noTicklabelposition:!0,noTicklabeloverflow:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),h("gridcolor",n(f.color,r.bgColor,13600/187).toRgbString()),h("title.text",d[0]),f.setScale=i.noop,h("showspikes")&&(h("spikesides"),h("spikethickness"),h("spikecolor",f.color)),h("showaxeslabels"),h("showbackground")&&h("backgroundcolor")}}},{"../../../lib":498,"../../../plot_api/plot_template":538,"../../cartesian/axis_defaults":551,"../../cartesian/type_defaults":577,"./axis_attributes":595,tinycolor2:307}],597:[function(t,e,r){"use strict";var n=t("../../../lib/str2rgbarray"),i=t("../../../lib"),a=["xaxis","yaxis","zaxis"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=["sans-serif","sans-serif","sans-serif"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=["x","y","z"],this.labelEnable=[!0,!0,!0],this.labelFont=["Open Sans","Open Sans","Open Sans"],this.labelSize=[20,20,20],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var r=0;r<3;++r){var o=e[a[r]];o.visible?(this.labels[r]=t._meta?i.templateString(o.title.text,t._meta):o.title.text,"font"in o.title&&(o.title.font.color&&(this.labelColor[r]=n(o.title.font.color)),o.title.font.family&&(this.labelFont[r]=o.title.font.family),o.title.font.size&&(this.labelSize[r]=o.title.font.size)),"showline"in o&&(this.lineEnable[r]=o.showline),"linecolor"in o&&(this.lineColor[r]=n(o.linecolor)),"linewidth"in o&&(this.lineWidth[r]=o.linewidth),"showgrid"in o&&(this.gridEnable[r]=o.showgrid),"gridcolor"in o&&(this.gridColor[r]=n(o.gridcolor)),"gridwidth"in o&&(this.gridWidth[r]=o.gridwidth),"log"===o.type?this.zeroEnable[r]=!1:"zeroline"in o&&(this.zeroEnable[r]=o.zeroline),"zerolinecolor"in o&&(this.zeroLineColor[r]=n(o.zerolinecolor)),"zerolinewidth"in o&&(this.zeroLineWidth[r]=o.zerolinewidth),"ticks"in o&&o.ticks?this.lineTickEnable[r]=!0:this.lineTickEnable[r]=!1,"ticklen"in o&&(this.lineTickLength[r]=this._defaultLineTickLength[r]=o.ticklen),"tickcolor"in o&&(this.lineTickColor[r]=n(o.tickcolor)),"tickwidth"in o&&(this.lineTickWidth[r]=o.tickwidth),"tickangle"in o&&(this.tickAngle[r]="auto"===o.tickangle?-3600:Math.PI*-o.tickangle/180),"showticklabels"in o&&(this.tickEnable[r]=o.showticklabels),"tickfont"in o&&(o.tickfont.color&&(this.tickColor[r]=n(o.tickfont.color)),o.tickfont.family&&(this.tickFont[r]=o.tickfont.family),o.tickfont.size&&(this.tickSize[r]=o.tickfont.size)),"mirror"in o?-1!==["ticks","all","allticks"].indexOf(o.mirror)?(this.lineTickMirror[r]=!0,this.lineMirror[r]=!0):!0===o.mirror?(this.lineTickMirror[r]=!1,this.lineMirror[r]=!0):(this.lineTickMirror[r]=!1,this.lineMirror[r]=!1):this.lineMirror[r]=!1,"showbackground"in o&&!1!==o.showbackground?(this.backgroundEnable[r]=!0,this.backgroundColor[r]=n(o.backgroundcolor)):this.backgroundEnable[r]=!1):(this.tickEnable[r]=!1,this.labelEnable[r]=!1,this.lineEnable[r]=!1,this.lineTickEnable[r]=!1,this.gridEnable[r]=!1,this.zeroEnable[r]=!1,this.backgroundEnable[r]=!1)}},e.exports=function(t,e){var r=new o;return r.merge(t,e),r}},{"../../../lib":498,"../../../lib/str2rgbarray":523}],598:[function(t,e,r){"use strict";var n=t("../../../lib"),i=t("../../../components/color"),a=t("../../../registry"),o=t("../../subplot_defaults"),s=t("./axis_defaults"),l=t("./layout_attributes"),c=t("../../get_data").getSubplotData;function u(t,e,r,n){for(var o=r("bgcolor"),l=i.combine(o,n.paper_bgcolor),u=["up","center","eye"],f=0;f<u.length;f++)r("camera."+u[f]+".x"),r("camera."+u[f]+".y"),r("camera."+u[f]+".z");r("camera.projection.type");var h=!!r("aspectratio.x")&&!!r("aspectratio.y")&&!!r("aspectratio.z"),p=r("aspectmode",h?"manual":"auto");h||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},"manual"===p&&(e.aspectmode="auto"),t.aspectmode=e.aspectmode);var d=c(n.fullData,"gl3d",n.id);s(t,e,{font:n.font,scene:n.id,data:d,bgColor:l,calendar:n.calendar,autotypenumbersDflt:n.autotypenumbersDflt,fullLayout:n.fullLayout}),a.getComponentMethod("annotations3d","handleDefaults")(t,e,n);var m=n.getDfltFromLayout("dragmode");if(!1!==m&&!m)if(m="orbit",t.camera&&t.camera.up){var g=t.camera.up.x,v=t.camera.up.y,y=t.camera.up.z;0!==y&&(g&&v&&y?y/Math.sqrt(g*g+v*v+y*y)>.999&&(m="turntable"):m="turntable")}else m="turntable";r("dragmode",m),r("hovermode",n.getDfltFromLayout("hovermode"))}e.exports=function(t,e,r){var i=e._basePlotModules.length>1;o(t,e,r,{type:"gl3d",attributes:l,handleDefaults:u,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!i)return n.validate(t[e],l[e])?t[e]:void 0},autotypenumbersDflt:e.autotypenumbers,paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},{"../../../components/color":361,"../../../lib":498,"../../../registry":633,"../../get_data":588,"../../subplot_defaults":627,"./axis_defaults":596,"./layout_attributes":599}],599:[function(t,e,r){"use strict";var n=t("./axis_attributes"),i=t("../../domain").attributes,a=t("../../../lib/extend").extendFlat,o=t("../../../lib").counterRegex;function s(t,e,r){return{x:{valType:"number",dflt:t,editType:"camera"},y:{valType:"number",dflt:e,editType:"camera"},z:{valType:"number",dflt:r,editType:"camera"},editType:"camera"}}e.exports={_arrayAttrRegexps:[o("scene",".annotations",!0)],bgcolor:{valType:"color",dflt:"rgba(0,0,0,0)",editType:"plot"},camera:{up:a(s(0,0,1),{}),center:a(s(0,0,0),{}),eye:a(s(1.25,1.25,1.25),{}),projection:{type:{valType:"enumerated",values:["perspective","orthographic"],dflt:"perspective",editType:"calc"},editType:"calc"},editType:"camera"},domain:i({name:"scene",editType:"plot"}),aspectmode:{valType:"enumerated",values:["auto","cube","data","manual"],dflt:"auto",editType:"plot",impliedEdits:{"aspectratio.x":void 0,"aspectratio.y":void 0,"aspectratio.z":void 0}},aspectratio:{x:{valType:"number",min:0,editType:"plot",impliedEdits:{"^aspectmode":"manual"}},y:{valType:"number",min:0,editType:"plot",impliedEdits:{"^aspectmode":"manual"}},z:{valType:"number",min:0,editType:"plot",impliedEdits:{"^aspectmode":"manual"}},editType:"plot",impliedEdits:{aspectmode:"manual"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:"enumerated",values:["orbit","turntable","zoom","pan",!1],editType:"plot"},hovermode:{valType:"enumerated",values:["closest",!1],dflt:"closest",editType:"modebar"},uirevision:{valType:"any",editType:"none"},editType:"plot",_deprecated:{cameraposition:{valType:"info_array",editType:"camera"}}}},{"../../../lib":498,"../../../lib/extend":488,"../../domain":579,"./axis_attributes":595}],600:[function(t,e,r){"use strict";var n=t("../../../lib/str2rgbarray"),i=["xaxis","yaxis","zaxis"];function a(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}a.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},e.exports=function(t){var e=new a;return e.merge(t),e}},{"../../../lib/str2rgbarray":523}],601:[function(t,e,r){"use strict";e.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],c=0;c<3;++c){var u=s[a[c]];if(u._length=(r[c].hi-r[c].lo)*r[c].pixelsPerDataUnit/t.dataScale[c],Math.abs(u._length)===1/0||isNaN(u._length))l[c]=[];else{u._input_range=u.range.slice(),u.range[0]=r[c].lo/t.dataScale[c],u.range[1]=r[c].hi/t.dataScale[c],u._m=1/(t.dataScale[c]*r[c].pixelsPerDataUnit),u.range[0]===u.range[1]&&(u.range[0]-=1,u.range[1]+=1);var f=u.tickmode;if("auto"===u.tickmode){u.tickmode="linear";var h=u.nticks||i.constrain(u._length/40,4,9);n.autoTicks(u,Math.abs(u.range[1]-u.range[0])/h)}for(var p=n.calcTicks(u,{msUTC:!0}),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[c],"date"===u.type&&(p[d].text=p[d].text.replace(/\<br\>/g," "));l[c]=p,u.tickmode=f}}e.ticks=l;for(c=0;c<3;++c){o[c]=.5*(t.glplot.bounds[0][c]+t.glplot.bounds[1][c]);for(d=0;d<2;++d)e.bounds[d][c]=t.glplot.bounds[d][c]}t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;e[r]=i}return e}(l)};var n=t("../../cartesian/axes"),i=t("../../../lib"),a=["xaxis","yaxis","zaxis"],o=[0,0,0]},{"../../../lib":498,"../../cartesian/axes":549}],602:[function(t,e,r){"use strict";function n(t,e){var r,n,i=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)i[n]+=t[4*r+n]*e[r];return i}e.exports=function(t,e){return n(t.projection,n(t.view,n(t.model,[e[0],e[1],e[2],1])))}},{}],603:[function(t,e,r){"use strict";var n,i,a=t("../../../stackgl_modules").gl_plot3d,o=a.createCamera,s=a.createScene,l=t("webgl-context"),c=t("has-passive-events"),u=t("../../registry"),f=t("../../lib"),h=f.preserveDrawingBuffer(),p=t("../../plots/cartesian/axes"),d=t("../../components/fx"),m=t("../../lib/str2rgbarray"),g=t("../../lib/show_no_webgl_msg"),v=t("./project"),y=t("./layout/convert"),x=t("./layout/spikes"),b=t("./layout/tick_marks");function _(t,e){var r=document.createElement("div"),n=t.container;this.graphDiv=t.graphDiv;var i=document.createElementNS("http://www.w3.org/2000/svg","svg");i.style.position="absolute",i.style.top=i.style.left="0px",i.style.width=i.style.height="100%",i.style["z-index"]=20,i.style["pointer-events"]="none",r.appendChild(i),this.svgContainer=i,r.id=t.id,r.style.position="absolute",r.style.top=r.style.left="0px",r.style.width=r.style.height="100%",n.appendChild(r),this.fullLayout=e,this.id=t.id||"scene",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=y(e,e[this.id]),this.spikeOptions=x(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=u.getComponentMethod("annotations3d","convert"),this.drawAnnotations=u.getComponentMethod("annotations3d","draw"),this.initializeGLPlot()}var w=_.prototype;w.prepareOptions=function(){var t={canvas:this.canvas,gl:this.gl,glOptions:{preserveDrawingBuffer:h,premultipliedAlpha:!0,antialias:!0},container:this.container,axes:this.axesOptions,spikes:this.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:this.camera,pixelRatio:this.pixelRatio};if(this.staticMode){if(!(i||(n=document.createElement("canvas"),i=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error("error creating static canvas/context for image server");t.gl=i,t.canvas=n}return t};var T=!0;w.tryCreatePlot=function(){var t=this.prepareOptions(),e=!0;try{this.glplot=s(t)}catch(r){if(this.staticMode||!T||h)e=!1;else{f.warn(["webgl setup failed possibly due to","false preserveDrawingBuffer config.","The mobile/tablet device may not be detected by is-mobile module.","Enabling preserveDrawingBuffer in second attempt to create webgl scene..."].join(" "));try{h=t.glOptions.preserveDrawingBuffer=!0,this.glplot=s(t)}catch(r){h=t.glOptions.preserveDrawingBuffer=!1,e=!1}}}return T=!1,e},w.initializeGLCamera=function(){var t=this.fullSceneLayout.camera,e="orthographic"===t.projection.type;this.camera=o(this.container,{center:[t.center.x,t.center.y,t.center.z],eye:[t.eye.x,t.eye.y,t.eye.z],up:[t.up.x,t.up.y,t.up.z],_ortho:e,zoomMin:.01,zoomMax:100,mode:"orbit"})},w.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return g(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+".camera"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+".aspectratio"]=t.glplot.getAspectratio(),"manual"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+".aspectmode"]="manual")),e},i=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit("plotly_relayout",e)}};return t.glplot.canvas&&(t.glplot.canvas.addEventListener("mouseup",(function(){i(t)})),t.glplot.canvas.addEventListener("wheel",(function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}}),!!c&&{passive:!1}),t.glplot.canvas.addEventListener("mousemove",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit("plotly_relayouting",e)}})),t.staticMode||t.glplot.canvas.addEventListener("webglcontextlost",(function(r){e&&e.emit&&e.emit("plotly_webglcontextlost",{event:r,layer:t.id})}),!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},w.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,i=e.container.getBoundingClientRect();r._fullLayout._calcInverseTransform(r);var a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,"viewBox","0 0 "+s+" "+l),n.setAttributeNS(null,"width",s),n.setAttributeNS(null,"height",l),b(e),e.glplot.axes.update(e.axesOptions);for(var c=Object.keys(e.traces),u=null,h=e.glplot.selection,m=0;m<c.length;++m)"skip"!==(t=e.traces[c[m]]).data.hoverinfo&&t.handlePick(h)&&(u=t),t.setContourLevels&&t.setContourLevels();function g(t,r,n){var i=e.fullSceneLayout[t+"axis"];return"log"!==i.type&&(r=i.d2l(r)),p.hoverLabelText(i,r,n)}if(null!==u){var y=v(e.glplot.cameraParams,h.dataCoordinate);t=u.data;var x,_=r._fullData[t.index],w=h.index,T={xLabel:g("x",h.traceCoordinate[0],t.xhoverformat),yLabel:g("y",h.traceCoordinate[1],t.yhoverformat),zLabel:g("z",h.traceCoordinate[2],t.zhoverformat)},k=d.castHoverinfo(_,e.fullLayout,w),A=(k||"").split("+"),M=k&&"all"===k;_.hovertemplate||M||(-1===A.indexOf("x")&&(T.xLabel=void 0),-1===A.indexOf("y")&&(T.yLabel=void 0),-1===A.indexOf("z")&&(T.zLabel=void 0),-1===A.indexOf("text")&&(h.textLabel=void 0),-1===A.indexOf("name")&&(u.name=void 0));var S=[];"cone"===t.type||"streamtube"===t.type?(T.uLabel=g("x",h.traceCoordinate[3],t.uhoverformat),(M||-1!==A.indexOf("u"))&&S.push("u: "+T.uLabel),T.vLabel=g("y",h.traceCoordinate[4],t.vhoverformat),(M||-1!==A.indexOf("v"))&&S.push("v: "+T.vLabel),T.wLabel=g("z",h.traceCoordinate[5],t.whoverformat),(M||-1!==A.indexOf("w"))&&S.push("w: "+T.wLabel),T.normLabel=h.traceCoordinate[6].toPrecision(3),(M||-1!==A.indexOf("norm"))&&S.push("norm: "+T.normLabel),"streamtube"===t.type&&(T.divergenceLabel=h.traceCoordinate[7].toPrecision(3),(M||-1!==A.indexOf("divergence"))&&S.push("divergence: "+T.divergenceLabel)),h.textLabel&&S.push(h.textLabel),x=S.join("<br>")):"isosurface"===t.type||"volume"===t.type?(T.valueLabel=p.hoverLabelText(e._mockAxis,e._mockAxis.d2l(h.traceCoordinate[3]),t.valuehoverformat),S.push("value: "+T.valueLabel),h.textLabel&&S.push(h.textLabel),x=S.join("<br>")):x=h.textLabel;var E={x:h.traceCoordinate[0],y:h.traceCoordinate[1],z:h.traceCoordinate[2],data:_._input,fullData:_,curveNumber:_.index,pointNumber:w};d.appendArrayPointValue(E,_,w),t._module.eventData&&(E=_._module.eventData(E,h,_,{},w));var L={points:[E]};if(e.fullSceneLayout.hovermode){var C=[];d.loneHover({trace:_,x:(.5+.5*y[0]/y[3])*s,y:(.5-.5*y[1]/y[3])*l,xLabel:T.xLabel,yLabel:T.yLabel,zLabel:T.zLabel,text:x,name:u.name,color:d.castHoverOption(_,w,"bgcolor")||u.color,borderColor:d.castHoverOption(_,w,"bordercolor"),fontFamily:d.castHoverOption(_,w,"font.family"),fontSize:d.castHoverOption(_,w,"font.size"),fontColor:d.castHoverOption(_,w,"font.color"),nameLength:d.castHoverOption(_,w,"namelength"),textAlign:d.castHoverOption(_,w,"align"),hovertemplate:f.castOption(_,w,"hovertemplate"),hovertemplateLabels:f.extendFlat({},E,T),eventData:[E]},{container:n,gd:r,inOut_bbox:C}),E.bbox=C[0]}h.buttons&&h.distance<5?r.emit("plotly_click",L):r.emit("plotly_hover",L),this.oldEventData=L}else d.loneUnhover(n),this.oldEventData&&r.emit("plotly_unhover",this.oldEventData),this.oldEventData=void 0;e.drawAnnotations(e)},w.recoverContext=function(){var t=this;t.glplot.dispose();var e=function(){t.glplot.gl.isContextLost()?requestAnimationFrame(e):t.initializeGLPlot()?t.plot.apply(t,t.plotArgs):f.error("Catastrophic and unrecoverable WebGL error. Context lost.")};requestAnimationFrame(e)};var k=["xaxis","yaxis","zaxis"];function A(t,e,r){for(var n=t.fullSceneLayout,i=0;i<3;i++){var a=k[i],o=a.charAt(0),s=n[a],l=e[o],c=e[o+"calendar"],u=e["_"+o+"length"];if(f.isArrayOrTypedArray(l))for(var h,p=0;p<(u||l.length);p++)if(f.isArrayOrTypedArray(l[p]))for(var d=0;d<l[p].length;++d)h=s.d2l(l[p][d],0,c),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else h=s.d2l(l[p],0,c),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else r[0][i]=Math.min(r[0][i],0),r[1][i]=Math.max(r[1][i],u-1)}}w.plot=function(t,e,r){if(this.plotArgs=[t,e,r],!this.glplot.contextLost){var n,i,a,o,s,l,c=e[this.id],u=r[this.id];this.fullLayout=e,this.fullSceneLayout=c,this.axesOptions.merge(e,c),this.spikeOptions.merge(c),this.setViewport(c),this.updateFx(c.dragmode,c.hovermode),this.camera.enableWheel=this.graphDiv._context._scrollZoom.gl3d,this.glplot.setClearColor(m(c.bgcolor)),this.setConvert(s),t?Array.isArray(t)||(t=[t]):t=[];var f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(a=0;a<t.length;++a)!0===(n=t[a]).visible&&0!==n._length&&A(this,n,f);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],i=0;i<3;i++)for(var a=k[i],o=a.charAt(0),s=r[a],l=0;l<n.length;l++){var c=n[l];if(c.visible){var u=s.r2l(c[o]);!isNaN(u)&&isFinite(u)&&(e[0][i]=Math.min(e[0][i],u),e[1][i]=Math.max(e[1][i],u))}}}(this,f);var h=[1,1,1];for(o=0;o<3;++o)f[1][o]===f[0][o]?h[o]=1:h[o]=1/(f[1][o]-f[0][o]);for(this.dataScale=h,this.convertAnnotations(this),a=0;a<t.length;++a)!0===(n=t[a]).visible&&0!==n._length&&((i=this.traces[n.uid])?i.data.type===n.type?i.update(n):(i.dispose(),i=n._module.plot(this,n),this.traces[n.uid]=i):(i=n._module.plot(this,n),this.traces[n.uid]=i),i.name=n.name);var p=Object.keys(this.traces);t:for(a=0;a<p.length;++a){for(o=0;o<t.length;++o)if(t[o].uid===p[a]&&!0===t[o].visible&&0!==t[o]._length)continue t;(i=this.traces[p[a]]).dispose(),delete this.traces[p[a]]}this.glplot.objects.sort((function(t,e){return t._trace.data.index-e._trace.data.index}));var d,g=[[0,0,0],[0,0,0]],v=[],y={};for(a=0;a<3;++a){if((l=(s=c[k[a]]).type)in y?(y[l].acc*=h[a],y[l].count+=1):y[l]={acc:h[a],count:1},s.autorange){g[0][a]=1/0,g[1][a]=-1/0;var x=this.glplot.objects,b=this.fullSceneLayout.annotations||[],_=s._name.charAt(0);for(o=0;o<x.length;o++){var w=x[o],T=w.bounds,M=w._trace.data._pad||0;"ErrorBars"===w.constructor.name&&s._lowerLogErrorBound?g[0][a]=Math.min(g[0][a],s._lowerLogErrorBound):g[0][a]=Math.min(g[0][a],T[0][a]/h[a]-M),g[1][a]=Math.max(g[1][a],T[1][a]/h[a]+M)}for(o=0;o<b.length;o++){var S=b[o];if(S.visible){var E=s.r2l(S[_]);g[0][a]=Math.min(g[0][a],E),g[1][a]=Math.max(g[1][a],E)}}if("rangemode"in s&&"tozero"===s.rangemode&&(g[0][a]=Math.min(g[0][a],0),g[1][a]=Math.max(g[1][a],0)),g[0][a]>g[1][a])g[0][a]=-1,g[1][a]=1;else{var L=g[1][a]-g[0][a];g[0][a]-=L/32,g[1][a]+=L/32}if("reversed"===s.autorange){var C=g[0][a];g[0][a]=g[1][a],g[1][a]=C}}else{var P=s.range;g[0][a]=s.r2l(P[0]),g[1][a]=s.r2l(P[1])}g[0][a]===g[1][a]&&(g[0][a]-=1,g[1][a]+=1),v[a]=g[1][a]-g[0][a],this.glplot.setBounds(a,{min:g[0][a]*h[a],max:g[1][a]*h[a]})}var I=c.aspectmode;if("cube"===I)d=[1,1,1];else if("manual"===I){var O=c.aspectratio;d=[O.x,O.y,O.z]}else{if("auto"!==I&&"data"!==I)throw new Error("scene.js aspectRatio was not one of the enumerated types");var z=[1,1,1];for(a=0;a<3;++a){var D=y[l=(s=c[k[a]]).type];z[a]=Math.pow(D.acc,1/D.count)/h[a]}d="data"===I||Math.max.apply(null,z)/Math.min.apply(null,z)<=4?z:[1,1,1]}c.aspectratio.x=u.aspectratio.x=d[0],c.aspectratio.y=u.aspectratio.y=d[1],c.aspectratio.z=u.aspectratio.z=d[2],this.glplot.setAspectratio(c.aspectratio),this.viewInitial.aspectratio||(this.viewInitial.aspectratio={x:c.aspectratio.x,y:c.aspectratio.y,z:c.aspectratio.z}),this.viewInitial.aspectmode||(this.viewInitial.aspectmode=c.aspectmode);var R=c.domain||null,F=e._size||null;if(R&&F){var B=this.container.style;B.position="absolute",B.left=F.l+R.x[0]*F.w+"px",B.top=F.t+(1-R.y[1])*F.h+"px",B.width=F.w*(R.x[1]-R.x[0])+"px",B.height=F.h*(R.y[1]-R.y[0])+"px"}this.glplot.redraw()}},w.destroy=function(){this.glplot&&(this.camera.mouseListener.enabled=!1,this.container.removeEventListener("wheel",this.camera.wheelListener),this.camera=null,this.glplot.dispose(),this.container.parentNode.removeChild(this.container),this.glplot=null)},w.getCamera=function(){var t;return this.camera.view.recalcMatrix(this.camera.view.lastT()),{up:{x:(t=this.camera).up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]},projection:{type:!0===t._ortho?"orthographic":"perspective"}}},w.setViewport=function(t){var e,r=t.camera;this.camera.lookAt.apply(this,[[(e=r).eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]),this.glplot.setAspectratio(t.aspectratio),"orthographic"===r.projection.type!==this.camera._ortho&&(this.glplot.redraw(),this.glplot.clearRGBA(),this.glplot.dispose(),this.initializeGLPlot())},w.isCameraChanged=function(t){var e=this.getCamera(),r=f.nestedProperty(t,this.id+".camera").get();function n(t,e,r,n){var i=["up","center","eye"],a=["x","y","z"];return e[i[r]]&&t[i[r]][a[n]]===e[i[r]][a[n]]}var i=!1;if(void 0===r)i=!0;else{for(var a=0;a<3;a++)for(var o=0;o<3;o++)if(!n(e,r,a,o)){i=!0;break}(!r.projection||e.projection&&e.projection.type!==r.projection.type)&&(i=!0)}return i},w.isAspectChanged=function(t){var e=this.glplot.getAspectratio(),r=f.nestedProperty(t,this.id+".aspectratio").get();return void 0===r||r.x!==e.x||r.y!==e.y||r.z!==e.z},w.saveLayout=function(t){var e,r,n,i,a,o,s=this.fullLayout,l=this.isCameraChanged(t),c=this.isAspectChanged(t),h=l||c;if(h){var p={};if(l&&(e=this.getCamera(),n=(r=f.nestedProperty(t,this.id+".camera")).get(),p[this.id+".camera"]=n),c&&(i=this.glplot.getAspectratio(),o=(a=f.nestedProperty(t,this.id+".aspectratio")).get(),p[this.id+".aspectratio"]=o),u.call("_storeDirectGUIEdit",t,s._preGUI,p),l)r.set(e),f.nestedProperty(s,this.id+".camera").set(e);if(c)a.set(i),f.nestedProperty(s,this.id+".aspectratio").set(i),this.glplot.redraw()}return h},w.updateFx=function(t,e){var r=this.camera;if(r)if("orbit"===t)r.mode="orbit",r.keyBindingMode="rotate";else if("turntable"===t){r.up=[0,0,1],r.mode="turntable",r.keyBindingMode="rotate";var n=this.graphDiv,i=n._fullLayout,a=this.fullSceneLayout.camera,o=a.up.x,s=a.up.y,l=a.up.z;if(l/Math.sqrt(o*o+s*s+l*l)<.999){var c=this.id+".camera.up",h={x:0,y:0,z:1},p={};p[c]=h;var d=n.layout;u.call("_storeDirectGUIEdit",d,i._preGUI,p),a.up=h,f.nestedProperty(d,c).set(h)}}else r.keyBindingMode=t;this.fullSceneLayout.hovermode=e},w.toImage=function(t){t||(t="png"),this.staticMode&&this.container.appendChild(n),this.glplot.redraw();var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a),function(t,e,r){for(var n=0,i=r-1;n<i;++n,--i)for(var a=0;a<e;++a)for(var o=0;o<4;++o){var s=4*(e*n+a)+o,l=4*(e*i+a)+o,c=t[s];t[s]=t[l],t[l]=c}}(a,r,i),function(t,e,r){for(var n=0;n<r;++n)for(var i=0;i<e;++i){var a=4*(e*n+i),o=t[a+3];if(o>0)for(var s=255/o,l=0;l<3;++l)t[a+l]=Math.min(s*t[a+l],255)}}(a,r,i);var o=document.createElement("canvas");o.width=r,o.height=i;var s,l=o.getContext("2d"),c=l.createImageData(r,i);switch(c.data.set(a),l.putImageData(c,0,0),t){case"jpeg":s=o.toDataURL("image/jpeg");break;case"webp":s=o.toDataURL("image/webp");break;default:s=o.toDataURL("image/png")}return this.staticMode&&this.container.removeChild(n),s},w.setConvert=function(){for(var t=0;t<3;t++){var e=this.fullSceneLayout[k[t]];p.setConvert(e,this.fullLayout),e.setScale=f.noop}},w.make4thDimension=function(){var t=this.graphDiv._fullLayout;this._mockAxis={type:"linear",showexponent:"all",exponentformat:"B"},p.setConvert(this._mockAxis,t)},e.exports=_},{"../../../stackgl_modules":1119,"../../components/fx":401,"../../lib":498,"../../lib/show_no_webgl_msg":520,"../../lib/str2rgbarray":523,"../../plots/cartesian/axes":549,"../../registry":633,"./layout/convert":597,"./layout/spikes":600,"./layout/tick_marks":601,"./project":602,"has-passive-events":224,"webgl-context":326}],604:[function(t,e,r){"use strict";e.exports=function(t,e,r,n){n=n||t.length;for(var i=new Array(n),a=0;a<n;a++)i[a]=[t[a],e[a],r[a]];return i}},{}],605:[function(t,e,r){"use strict";var n=t("./font_attributes"),i=t("./animation_attributes"),a=t("../components/color/attributes"),o=t("../components/shapes/draw_newshape/attributes"),s=t("./pad_attributes"),l=t("../lib/extend").extendFlat,c=n({editType:"calc"});c.family.dflt='"Open Sans", verdana, arial, sans-serif',c.size.dflt=12,c.color.dflt=a.defaultLine,e.exports={font:c,title:{text:{valType:"string",editType:"layoutstyle"},font:n({editType:"layoutstyle"}),xref:{valType:"enumerated",dflt:"container",values:["container","paper"],editType:"layoutstyle"},yref:{valType:"enumerated",dflt:"container",values:["container","paper"],editType:"layoutstyle"},x:{valType:"number",min:0,max:1,dflt:.5,editType:"layoutstyle"},y:{valType:"number",min:0,max:1,dflt:"auto",editType:"layoutstyle"},xanchor:{valType:"enumerated",dflt:"auto",values:["auto","left","center","right"],editType:"layoutstyle"},yanchor:{valType:"enumerated",dflt:"auto",values:["auto","top","middle","bottom"],editType:"layoutstyle"},pad:l(s({editType:"layoutstyle"}),{}),editType:"layoutstyle"},uniformtext:{mode:{valType:"enumerated",values:[!1,"hide","show"],dflt:!1,editType:"plot"},minsize:{valType:"number",min:0,dflt:0,editType:"plot"},editType:"plot"},autosize:{valType:"boolean",dflt:!1,editType:"none"},width:{valType:"number",min:10,dflt:700,editType:"plot"},height:{valType:"number",min:10,dflt:450,editType:"plot"},margin:{l:{valType:"number",min:0,dflt:80,editType:"plot"},r:{valType:"number",min:0,dflt:80,editType:"plot"},t:{valType:"number",min:0,dflt:100,editType:"plot"},b:{valType:"number",min:0,dflt:80,editType:"plot"},pad:{valType:"number",min:0,dflt:0,editType:"plot"},autoexpand:{valType:"boolean",dflt:!0,editType:"plot"},editType:"plot"},computed:{valType:"any",editType:"none"},paper_bgcolor:{valType:"color",dflt:a.background,editType:"plot"},plot_bgcolor:{valType:"color",dflt:a.background,editType:"layoutstyle"},autotypenumbers:{valType:"enumerated",values:["convert types","strict"],dflt:"convert types",editType:"calc"},separators:{valType:"string",editType:"plot"},hidesources:{valType:"boolean",dflt:!1,editType:"plot"},showlegend:{valType:"boolean",editType:"legend"},colorway:{valType:"colorlist",dflt:a.defaults,editType:"calc"},datarevision:{valType:"any",editType:"calc"},uirevision:{valType:"any",editType:"none"},editrevision:{valType:"any",editType:"none"},selectionrevision:{valType:"any",editType:"none"},template:{valType:"any",editType:"calc"},newshape:o.newshape,activeshape:o.activeshape,meta:{valType:"any",arrayOk:!0,editType:"plot"},transition:l({},i.transition,{editType:"none"}),_deprecated:{title:{valType:"string",editType:"layoutstyle"},titlefont:n({editType:"layoutstyle"})}}},{"../components/color/attributes":360,"../components/shapes/draw_newshape/attributes":446,"../lib/extend":488,"./animation_attributes":543,"./font_attributes":580,"./pad_attributes":613}],606:[function(t,e,r){"use strict";var n=t("../../lib/sort_object_keys"),i='\xa9 <a target="_blank" href="https://www.openstreetmap.org/copyright">OpenStreetMap</a> contributors',a=['\xa9 <a target="_blank" href="https://carto.com/">Carto</a>',i].join(" "),o=['Map tiles by <a target="_blank" href="https://stamen.com">Stamen Design</a>','under <a target="_blank" href="https://creativecommons.org/licenses/by/3.0">CC BY 3.0</a>',"|",'Data by <a target="_blank" href="https://openstreetmap.org">OpenStreetMap</a> contributors','under <a target="_blank" href="https://www.openstreetmap.org/copyright">ODbL</a>'].join(" "),s={"open-street-map":{id:"osm",version:8,sources:{"plotly-osm-tiles":{type:"raster",attribution:i,tiles:["https://a.tile.openstreetmap.org/{z}/{x}/{y}.png","https://b.tile.openstreetmap.org/{z}/{x}/{y}.png"],tileSize:256}},layers:[{id:"plotly-osm-tiles",type:"raster",source:"plotly-osm-tiles",minzoom:0,maxzoom:22}]},"white-bg":{id:"white-bg",version:8,sources:{},layers:[{id:"white-bg",type:"background",paint:{"background-color":"#FFFFFF"},minzoom:0,maxzoom:22}]},"carto-positron":{id:"carto-positron",version:8,sources:{"plotly-carto-positron":{type:"raster",attribution:a,tiles:["https://cartodb-basemaps-c.global.ssl.fastly.net/light_all/{z}/{x}/{y}.png"],tileSize:256}},layers:[{id:"plotly-carto-positron",type:"raster",source:"plotly-carto-positron",minzoom:0,maxzoom:22}]},"carto-darkmatter":{id:"carto-darkmatter",version:8,sources:{"plotly-carto-darkmatter":{type:"raster",attribution:a,tiles:["https://cartodb-basemaps-c.global.ssl.fastly.net/dark_all/{z}/{x}/{y}.png"],tileSize:256}},layers:[{id:"plotly-carto-darkmatter",type:"raster",source:"plotly-carto-darkmatter",minzoom:0,maxzoom:22}]},"stamen-terrain":{id:"stamen-terrain",version:8,sources:{"plotly-stamen-terrain":{type:"raster",attribution:o,tiles:["https://stamen-tiles.a.ssl.fastly.net/terrain/{z}/{x}/{y}.png"],tileSize:256}},layers:[{id:"plotly-stamen-terrain",type:"raster",source:"plotly-stamen-terrain",minzoom:0,maxzoom:22}]},"stamen-toner":{id:"stamen-toner",version:8,sources:{"plotly-stamen-toner":{type:"raster",attribution:o,tiles:["https://stamen-tiles.a.ssl.fastly.net/toner/{z}/{x}/{y}.png"],tileSize:256}},layers:[{id:"plotly-stamen-toner",type:"raster",source:"plotly-stamen-toner",minzoom:0,maxzoom:22}]},"stamen-watercolor":{id:"stamen-watercolor",version:8,sources:{"plotly-stamen-watercolor":{type:"raster",attribution:['Map tiles by <a target="_blank" href="https://stamen.com">Stamen Design</a>','under <a target="_blank" href="https://creativecommons.org/licenses/by/3.0">CC BY 3.0</a>',"|",'Data by <a target="_blank" href="https://openstreetmap.org">OpenStreetMap</a> contributors','under <a target="_blank" href="https://creativecommons.org/licenses/by-sa/3.0">CC BY SA</a>'].join(" "),tiles:["https://stamen-tiles.a.ssl.fastly.net/watercolor/{z}/{x}/{y}.png"],tileSize:256}},layers:[{id:"plotly-stamen-watercolor",type:"raster",source:"plotly-stamen-watercolor",minzoom:0,maxzoom:22}]}},l=n(s);e.exports={requiredVersion:"1.10.1",styleUrlPrefix:"mapbox://styles/mapbox/",styleUrlSuffix:"v9",styleValuesMapbox:["basic","streets","outdoors","light","dark","satellite","satellite-streets"],styleValueDflt:"basic",stylesNonMapbox:s,styleValuesNonMapbox:l,traceLayerPrefix:"plotly-trace-layer-",layoutLayerPrefix:"plotly-layout-layer-",wrongVersionErrorMsg:["Your custom plotly.js bundle is not using the correct mapbox-gl version","Please install mapbox-gl@1.10.1."].join("\n"),noAccessTokenErrorMsg:["Missing Mapbox access token.","Mapbox trace type require a Mapbox access token to be registered.","For example:","  Plotly.newPlot(gd, data, layout, { mapboxAccessToken: 'my-access-token' });","More info here: https://www.mapbox.com/help/define-access-token/"].join("\n"),missingStyleErrorMsg:["No valid mapbox style found, please set `mapbox.style` to one of:",l.join(", "),"or register a Mapbox access token to use a Mapbox-served style."].join("\n"),multipleTokensErrorMsg:["Set multiple mapbox access token across different mapbox subplot,","using first token found as mapbox-gl does not allow multipleaccess tokens on the same page."].join("\n"),mapOnErrorMsg:"Mapbox error.",mapboxLogo:{path0:"m 10.5,1.24 c -5.11,0 -9.25,4.15 -9.25,9.25 0,5.1 4.15,9.25 9.25,9.25 5.1,0 9.25,-4.15 9.25,-9.25 0,-5.11 -4.14,-9.25 -9.25,-9.25 z m 4.39,11.53 c -1.93,1.93 -4.78,2.31 -6.7,2.31 -0.7,0 -1.41,-0.05 -2.1,-0.16 0,0 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t=i.numbersScaler(h);D+=t[2];var e,r=S(m,"numbersScale",1,t[0],D,Math.min);m._scaleNumbers||(r=1),e=m._isAngular?v-r*h.bottom:v-r*(h.top+h.bottom)/2,m._numbersTop=r*h.top+e;var n=h[T];"center"===T&&(n=(h.left+h.right)/2);var a=g-r*n;return a=S(m,"numbersTranslate",0,a,D,Math.max),l(a,e)+s(r)}))}(t,O,e,{numbersX:m,numbersY:E,numbersScaler:L,transitionOpts:r,onComplete:g}),z&&(C={range:I.gauge.axis.range,color:I.gauge.bgcolor,line:{color:I.gauge.bordercolor,width:0},thickness:1},P={range:I.gauge.axis.range,color:"rgba(0, 0, 0, 0)",line:{color:I.gauge.bordercolor,width:I.gauge.borderwidth},thickness:1});var Y=O.selectAll("g.angular").data(D?e:[]);Y.exit().remove();var W=O.selectAll("g.angularaxis").data(D?e:[]);W.exit().remove(),D&&function(t,e,r,a){var o,s,f,h,p=r[0].trace,m=a.size,g=a.radius,v=a.innerRadius,y=a.gaugeBg,x=a.gaugeOutline,b=[m.l+m.w/2,m.t+m.h/2+g/2],_=a.gauge,A=a.layer,M=a.transitionOpts,S=a.onComplete,E=Math.PI/2;function L(t){var e=p.gauge.axis.range[0],r=(t-e)/(p.gauge.axis.range[1]-e)*Math.PI-E;return r<-E?-E:r>E?E:r}function C(t){return n.svg.arc().innerRadius((v+g)/2-t/2*(g-v)).outerRadius((v+g)/2+t/2*(g-v)).startAngle(-E)}function P(t){t.attr("d",(function(t){return C(t.thickness).startAngle(L(t.range[0])).endAngle(L(t.range[1]))()}))}_.enter().append("g").classed("angular",!0),_.attr("transform",l(b[0],b[1])),A.enter().append("g").classed("angularaxis",!0).classed("crisp",!0),A.selectAll("g.xangularaxistick,path,text").remove(),(o=k(t,p.gauge.axis)).type="linear",o.range=p.gauge.axis.range,o._id="xangularaxis",o.ticklabeloverflow="allow",o.setScale();var I=function(t){return(o.range[0]-t.x)/(o.range[1]-o.range[0])*Math.PI+Math.PI},O={},z=d.makeLabelFns(o,0).labelStandoff;O.xFn=function(t){var e=I(t);return Math.cos(e)*z},O.yFn=function(t){var e=I(t),r=Math.sin(e)>0?.2:1;return-Math.sin(e)*(z+t.fontSize*r)+Math.abs(Math.cos(e))*(t.fontSize*u)},O.anchorFn=function(t){var e=I(t),r=Math.cos(e);return 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U=j.select("path");w(M)?(U.transition().duration(M.duration).ease(M.easing).each("end",(function(){S&&S()})).each("interrupt",(function(){S&&S()})).attrTween("d",(V=N,H=L(r[0].lastY),q=L(r[0].y),function(){var t=i(H,q);return function(e){return V.endAngle(t(e))()}})),p._lastValue=r[0].y):U.attr("d","number"==typeof r[0].y?N.endAngle(L(r[0].y)):"M0,0Z");var V,H,q;U.call(T),j.exit().remove(),F=[];var G=p.gauge.threshold.value;(G||0===G)&&F.push({range:[G,G],color:p.gauge.threshold.color,line:{color:p.gauge.threshold.line.color,width:p.gauge.threshold.line.width},thickness:p.gauge.threshold.thickness});var Y=_.selectAll("g.threshold-arc").data(F);Y.enter().append("g").classed("threshold-arc",!0).append("path"),Y.select("path").call(P).call(T),Y.exit().remove();var W=_.selectAll("g.gauge-outline").data([x]);W.enter().append("g").classed("gauge-outline",!0).append("path"),W.select("path").call(P).call(T),W.exit().remove()}(t,0,e,{radius:U,innerRadius:V,gauge:Y,layer:W,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:g});var X=O.selectAll("g.bullet").data(R?e:[]);X.exit().remove();var Z=O.selectAll("g.bulletaxis").data(R?e:[]);Z.exit().remove(),R&&function(t,e,r,n){var i,a,o,s,c,u=r[0].trace,f=n.gauge,p=n.layer,m=n.gaugeBg,g=n.gaugeOutline,v=n.size,x=u.domain,b=n.transitionOpts,_=n.onComplete;f.enter().append("g").classed("bullet",!0),f.attr("transform",l(v.l,v.t)),p.enter().append("g").classed("bulletaxis",!0).classed("crisp",!0),p.selectAll("g.xbulletaxistick,path,text").remove();var A=v.h,M=u.gauge.bar.thickness*A,S=x.x[0],E=x.x[0]+(x.x[1]-x.x[0])*(u._hasNumber||u._hasDelta?1-h.bulletNumberDomainSize:1);(i=k(t,u.gauge.axis))._id="xbulletaxis",i.domain=[S,E],i.setScale(),a=d.calcTicks(i),o=d.makeTransTickFn(i),s=d.getTickSigns(i)[2],c=v.t+v.h,i.visible&&(d.drawTicks(t,i,{vals:"inside"===i.ticks?d.clipEnds(i,a):a,layer:p,path:d.makeTickPath(i,c,s),transFn:o}),d.drawLabels(t,i,{vals:a,layer:p,transFn:o,labelFns:d.makeLabelFns(i,c)}));function L(t){t.attr("width",(function(t){return Math.max(0,i.c2p(t.range[1])-i.c2p(t.range[0]))})).attr("x",(function(t){return i.c2p(t.range[0])})).attr("y",(function(t){return.5*(1-t.thickness)*A})).attr("height",(function(t){return t.thickness*A}))}var C=[m].concat(u.gauge.steps),P=f.selectAll("g.bg-bullet").data(C);P.enter().append("g").classed("bg-bullet",!0).append("rect"),P.select("rect").call(L).call(T),P.exit().remove();var I=f.selectAll("g.value-bullet").data([u.gauge.bar]);I.enter().append("g").classed("value-bullet",!0).append("rect"),I.select("rect").attr("height",M).attr("y",(A-M)/2).call(T),w(b)?I.select("rect").transition().duration(b.duration).ease(b.easing).each("end",(function(){_&&_()})).each("interrupt",(function(){_&&_()})).attr("width",Math.max(0,i.c2p(Math.min(u.gauge.axis.range[1],r[0].y)))):I.select("rect").attr("width","number"==typeof r[0].y?Math.max(0,i.c2p(Math.min(u.gauge.axis.range[1],r[0].y))):0);I.exit().remove();var O=r.filter((function(){return u.gauge.threshold.value||0===u.gauge.threshold.value})),z=f.selectAll("g.threshold-bullet").data(O);z.enter().append("g").classed("threshold-bullet",!0).append("line"),z.select("line").attr("x1",i.c2p(u.gauge.threshold.value)).attr("x2",i.c2p(u.gauge.threshold.value)).attr("y1",(1-u.gauge.threshold.thickness)/2*A).attr("y2",(1-(1-u.gauge.threshold.thickness)/2)*A).call(y.stroke,u.gauge.threshold.line.color).style("stroke-width",u.gauge.threshold.line.width),z.exit().remove();var D=f.selectAll("g.gauge-outline").data([g]);D.enter().append("g").classed("gauge-outline",!0).append("rect"),D.select("rect").call(L).call(T),D.exit().remove()}(t,0,e,{gauge:X,layer:Z,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:g});var J=O.selectAll("text.title").data(e);J.exit().remove(),J.enter().append("text").classed("title",!0),J.attr("text-anchor",(function(){return R?x.right:x[I.title.align]})).text(I.title.text).call(f.font,I.title.font).call(p.convertToTspans,t),J.attr("transform",(function(){var t,e=B.l+B.w*b[I.title.align],r=h.titlePadding,n=f.bBox(J.node());if(z){if(D)if(I.gauge.axis.visible)t=f.bBox(W.node()).top-r-n.bottom;else t=B.t+B.h/2-U/2-n.bottom-r;R&&(t=E-(n.top+n.bottom)/2,e=B.l-h.bulletPadding*B.w)}else t=I._numbersTop-r-n.bottom;return l(e,t)}))}))}},{"../../components/color":361,"../../components/drawing":383,"../../constants/alignment":466,"../../lib":498,"../../lib/svg_text_utils":524,"../../plots/cartesian/axes":549,"../../plots/cartesian/axis_defaults":551,"../../plots/cartesian/layout_attributes":564,"../../plots/cartesian/position_defaults":567,"./constants":853,"@plotly/d3":58,"d3-interpolate":111}],857:[function(t,e,r){"use strict";var n=t("../../components/colorscale/attributes"),i=t("../../plots/cartesian/axis_format_attributes").axisHoverFormat,a=t("../../plots/template_attributes").hovertemplateAttrs,o=t("../mesh3d/attributes"),s=t("../../plots/attributes"),l=t("../../lib/extend").extendFlat,c=t("../../plot_api/edit_types").overrideAll;var u=e.exports=c(l({x:{valType:"data_array"},y:{valType:"data_array"},z:{valType:"data_array"},value:{valType:"data_array"},isomin:{valType:"number"},isomax:{valType:"number"},surface:{show:{valType:"boolean",dflt:!0},count:{valType:"integer",dflt:2,min:1},fill:{valType:"number",min:0,max:1,dflt:1},pattern:{valType:"flaglist",flags:["A","B","C","D","E"],extras:["all","odd","even"],dflt:"all"}},spaceframe:{show:{valType:"boolean",dflt:!1},fill:{valType:"number",min:0,max:1,dflt:.15}},slices:{x:{show:{valType:"boolean",dflt:!1},locations:{valType:"data_array",dflt:[]},fill:{valType:"number",min:0,max:1,dflt:1}},y:{show:{valType:"boolean",dflt:!1},locations:{valType:"data_array",dflt:[]},fill:{valType:"number",min:0,max:1,dflt:1}},z:{show:{valType:"boolean",dflt:!1},locations:{valType:"data_array",dflt:[]},fill:{valType:"number",min:0,max:1,dflt:1}}},caps:{x:{show:{valType:"boolean",dflt:!0},fill:{valType:"number",min:0,max:1,dflt:1}},y:{show:{valType:"boolean",dflt:!0},fill:{valType:"number",min:0,max:1,dflt:1}},z:{show:{valType:"boolean",dflt:!0},fill:{valType:"number",min:0,max:1,dflt:1}}},text:{valType:"string",dflt:"",arrayOk:!0},hovertext:{valType:"string",dflt:"",arrayOk:!0},hovertemplate:a(),xhoverformat:i("x"),yhoverformat:i("y"),zhoverformat:i("z"),valuehoverformat:i("value",1),showlegend:l({},s.showlegend,{dflt:!1})},n("",{colorAttr:"`value`",showScaleDflt:!0,editTypeOverride:"calc"}),{opacity:o.opacity,lightposition:o.lightposition,lighting:o.lighting,flatshading:o.flatshading,contour:o.contour,hoverinfo:l({},s.hoverinfo)}),"calc","nested");u.flatshading.dflt=!0,u.lighting.facenormalsepsilon.dflt=0,u.x.editType=u.y.editType=u.z.editType=u.value.editType="calc+clearAxisTypes",u.transforms=void 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0===e.isomax||null===e.isomin?s:e.isomax,n(t,e,{vals:[e._vMin,e._vMax],containerStr:"",cLetter:"c"})}},{"../../components/colorscale/calc":369,"../streamtube/calc":1040}],859:[function(t,e,r){"use strict";var n=t("../../../stackgl_modules").gl_mesh3d,i=t("../../lib/gl_format_color").parseColorScale,a=t("../../lib/str2rgbarray"),o=t("../../components/colorscale").extractOpts,s=t("../../plots/gl3d/zip3"),l=function(t,e){for(var r=e.length-1;r>0;r--){var n=Math.min(e[r],e[r-1]),i=Math.max(e[r],e[r-1]);if(i>n&&n<t&&t<=i)return{id:r,distRatio:(i-t)/(i-n)}}return{id:0,distRatio:0}};function c(t,e,r){this.scene=t,this.uid=r,this.mesh=e,this.name="",this.data=null,this.showContour=!1}var u=c.prototype;u.handlePick=function(t){if(t.object===this.mesh){var e=t.data.index,r=this.data._meshX[e],n=this.data._meshY[e],i=this.data._meshZ[e],a=this.data._Ys.length,o=this.data._Zs.length,s=l(r,this.data._Xs).id,c=l(n,this.data._Ys).id,u=l(i,this.data._Zs).id,f=t.index=u+o*c+o*a*s;t.traceCoordinate=[this.data._meshX[f],this.data._meshY[f],this.data._meshZ[f],this.data._value[f]];var h=this.data.hovertext||this.data.text;return Array.isArray(h)&&void 0!==h[f]?t.textLabel=h[f]:h&&(t.textLabel=h),!0}},u.update=function(t){var e=this.scene,r=e.fullSceneLayout;function n(t,e,r,n){return e.map((function(e){return t.d2l(e,0,n)*r}))}this.data=h(t);var l={positions:s(n(r.xaxis,t._meshX,e.dataScale[0],t.xcalendar),n(r.yaxis,t._meshY,e.dataScale[1],t.ycalendar),n(r.zaxis,t._meshZ,e.dataScale[2],t.zcalendar)),cells:s(t._meshI,t._meshJ,t._meshK),lightPosition:[t.lightposition.x,t.lightposition.y,t.lightposition.z],ambient:t.lighting.ambient,diffuse:t.lighting.diffuse,specular:t.lighting.specular,roughness:t.lighting.roughness,fresnel:t.lighting.fresnel,vertexNormalsEpsilon:t.lighting.vertexnormalsepsilon,faceNormalsEpsilon:t.lighting.facenormalsepsilon,opacity:t.opacity,contourEnable:t.contour.show,contourColor:a(t.contour.color).slice(0,3),contourWidth:t.contour.width,useFacetNormals:t.flatshading},c=o(t);l.vertexIntensity=t._meshIntensity,l.vertexIntensityBounds=[c.min,c.max],l.colormap=i(t),this.mesh.update(l)},u.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()};var f=["xyz","xzy","yxz","yzx","zxy","zyx"];function h(t){t._meshI=[],t._meshJ=[],t._meshK=[];var 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n=t("@plotly/d3"),i=t("../../components/drawing"),a=t("../../components/color");e.exports=function(t,e,r){var o=r||n.select(t).selectAll("g.ohlclayer").selectAll("g.trace");o.style("opacity",(function(t){return t[0].trace.opacity})),o.each((function(t){var e=t[0].trace;n.select(this).selectAll("path").each((function(t){if(!t.empty){var r=e[t.dir].line;n.select(this).style("fill","none").call(a.stroke,r.color).call(i.dashLine,r.dash,r.width).style("opacity",e.selectedpoints&&!t.selected?.3:1)}}))}))}},{"../../components/color":361,"../../components/drawing":383,"@plotly/d3":58}],876:[function(t,e,r){"use strict";var n=t("../../lib/extend").extendFlat,i=t("../../plots/attributes"),a=t("../../plots/font_attributes"),o=t("../../components/colorscale/attributes"),s=t("../../plots/template_attributes").hovertemplateAttrs,l=t("../../plots/domain").attributes,c=n({editType:"calc"},o("line",{editTypeOverride:"calc"}),{shape:{valType:"enumerated",values:["linear","hspline"],dflt:"linear",editType:"plot"},hovertemplate:s({editType:"plot",arrayOk:!1},{keys:["count","probability"]})});e.exports={domain:l({name:"parcats",trace:!0,editType:"calc"}),hoverinfo:n({},i.hoverinfo,{flags:["count","probability"],editType:"plot",arrayOk:!1}),hoveron:{valType:"enumerated",values:["category","color","dimension"],dflt:"category",editType:"plot"},hovertemplate:s({editType:"plot",arrayOk:!1},{keys:["count","probability","category","categorycount","colorcount","bandcolorcount"]}),arrangement:{valType:"enumerated",values:["perpendicular","freeform","fixed"],dflt:"perpendicular",editType:"plot"},bundlecolors:{valType:"boolean",dflt:!0,editType:"plot"},sortpaths:{valType:"enumerated",values:["forward","backward"],dflt:"forward",editType:"plot"},labelfont:a({editType:"calc"}),tickfont:a({editType:"calc"}),dimensions:{_isLinkedToArray:"dimension",label:{valType:"string",editType:"calc"},categoryorder:{valType:"enumerated",values:["trace","category 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i=n._has&&n._has("parcats"),a=e._has&&e._has("parcats");i&&!a&&n._paperdiv.selectAll(".parcats").remove()}},{"../../plots/get_data":588,"./plot":882}],878:[function(t,e,r){"use strict";var n=t("../../lib/gup").wrap,i=t("../../components/colorscale/helpers").hasColorscale,a=t("../../components/colorscale/calc"),o=t("../../lib/filter_unique.js"),s=t("../../components/drawing"),l=t("../../lib"),c=t("fast-isnumeric");function u(t,e,r){t.valueInds.push(e),t.count+=r}function f(t,e,r){return{categoryInds:t,color:e,rawColor:r,valueInds:[],count:0}}function h(t,e,r){t.valueInds.push(e),t.count+=r}e.exports=function(t,e){var r=l.filterVisible(e.dimensions);if(0===r.length)return[];var p,d,m,g=r.map((function(t){var e;if("trace"===t.categoryorder)e=null;else if("array"===t.categoryorder)e=t.categoryarray;else{e=o(t.values);for(var r=!0,n=0;n<e.length;n++)if(!c(e[n])){r=!1;break}e.sort(r?l.sorterAsc:void 0),"category descending"===t.categoryorder&&(e=e.reverse())}return function(t,e){e=null==e?[]:e.map((function(t){return t}));var r={},n={},i=[];e.forEach((function(t,e){r[t]=0,n[t]=e}));for(var a=0;a<t.length;a++){var o,s=t[a];void 0===r[s]?(r[s]=1,o=e.push(s)-1,n[s]=o):(r[s]++,o=n[s]),i.push(o)}var l=e.map((function(t){return r[t]}));return{uniqueValues:e,uniqueCounts:l,inds:i}}(t.values,e)}));p=l.isArrayOrTypedArray(e.counts)?e.counts:[e.counts],function(t){var e;if(function(t){for(var e=new Array(t.length),r=0;r<t.length;r++){if(t[r]<0||t[r]>=t.length)return!1;if(void 0!==e[t[r]])return!1;e[t[r]]=!0}return!0}(t.map((function(t){return t.displayindex}))))for(e=0;e<t.length;e++)t[e]._displayindex=t[e].displayindex;else for(e=0;e<t.length;e++)t[e]._displayindex=e}(r),r.forEach((function(t,e){!function(t,e){t._categoryarray=e.uniqueValues,null===t.ticktext||void 0===t.ticktext?t._ticktext=[]:t._ticktext=t.ticktext.slice();for(var r=t._ticktext.length;r<e.uniqueValues.length;r++)t._ticktext.push(e.uniqueValues[r])}(t,g[e])}));var v,y=e.line;y?(i(e,"line")&&a(t,e,{vals:e.line.color,containerStr:"line",cLetter:"c"}),v=s.tryColorscale(y)):v=l.identity;var x,b,_,w,T,k=r[0].values.length,A={},M=g.map((function(t){return t.inds}));for(m=0,x=0;x<k;x++){var S=[];for(b=0;b<M.length;b++)S.push(M[b][x]);d=p[x%p.length],m+=d;var E=(_=x,w=void 0,T=void 0,l.isArrayOrTypedArray(y.color)?T=w=y.color[_%y.color.length]:w=y.color,{color:v(w),rawColor:T}),L=S+"-"+E.rawColor;void 0===A[L]&&(A[L]=f(S,E.color,E.rawColor)),h(A[L],x,d)}var C,P=r.map((function(t,e){return function(t,e,r,n,i){return{dimensionInd:t,containerInd:e,displayInd:r,dimensionLabel:n,count:i,categories:[],dragX:null}}(e,t._index,t._displayindex,t.label,m)}));for(x=0;x<k;x++)for(d=p[x%p.length],b=0;b<P.length;b++){var I=P[b].containerInd,O=g[b].inds[x],z=P[b].categories;if(void 0===z[O]){var D=e.dimensions[I]._categoryarray[O],R=e.dimensions[I]._ticktext[O];z[O]={dimensionInd:b,categoryInd:C=O,categoryValue:D,displayInd:C,categoryLabel:R,valueInds:[],count:0,dragY:null}}u(z[O],x,d)}return n(function(t,e,r){var n=t.map((function(t){return t.categories.length})).reduce((function(t,e){return Math.max(t,e)}));return{dimensions:t,paths:e,trace:void 0,maxCats:n,count:r}}(P,A,m))}},{"../../components/colorscale/calc":369,"../../components/colorscale/helpers":372,"../../components/drawing":383,"../../lib":498,"../../lib/filter_unique.js":489,"../../lib/gup":495,"fast-isnumeric":185}],879:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../components/colorscale/helpers").hasColorscale,a=t("../../components/colorscale/defaults"),o=t("../../plots/domain").defaults,s=t("../../plots/array_container_defaults"),l=t("./attributes"),c=t("../parcoords/merge_length");function u(t,e){function r(r,i){return n.coerce(t,e,l.dimensions,r,i)}var i=r("values"),a=r("visible");if(i&&i.length||(a=e.visible=!1),a){r("label"),r("displayindex",e._index);var o,s=t.categoryarray,c=Array.isArray(s)&&s.length>0;c&&(o="array");var u=r("categoryorder",o);"array"===u?(r("categoryarray"),r("ticktext")):(delete t.categoryarray,delete t.ticktext),c||"array"!==u||(e.categoryorder="trace")}}e.exports=function(t,e,r,f){function h(r,i){return n.coerce(t,e,l,r,i)}var p=s(t,e,{name:"dimensions",handleItemDefaults:u}),d=function(t,e,r,o,s){s("line.shape"),s("line.hovertemplate");var l=s("line.color",o.colorway[0]);if(i(t,"line")&&n.isArrayOrTypedArray(l)){if(l.length)return s("line.colorscale"),a(t,e,o,s,{prefix:"line.",cLetter:"c"}),l.length;e.line.color=r}return 1/0}(t,e,r,f,h);o(e,f,h),Array.isArray(p)&&p.length||(e.visible=!1),c(e,p,"values",d),h("hoveron"),h("hovertemplate"),h("arrangement"),h("bundlecolors"),h("sortpaths"),h("counts");var m={family:f.font.family,size:Math.round(f.font.size),color:f.font.color};n.coerceFont(h,"labelfont",m);var g={family:f.font.family,size:Math.round(f.font.size/1.2),color:f.font.color};n.coerceFont(h,"tickfont",g)}},{"../../components/colorscale/defaults":371,"../../components/colorscale/helpers":372,"../../lib":498,"../../plots/array_container_defaults":544,"../../plots/domain":579,"../parcoords/merge_length":893,"./attributes":876}],880:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),calc:t("./calc"),plot:t("./plot"),colorbar:{container:"line",min:"cmin",max:"cmax"},moduleType:"trace",name:"parcats",basePlotModule:t("./base_plot"),categories:["noOpacity"],meta:{}}},{"./attributes":876,"./base_plot":877,"./calc":878,"./defaults":879,"./plot":882}],881:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("d3-interpolate").interpolateNumber,a=t("../../plot_api/plot_api"),o=t("../../components/fx"),s=t("../../lib"),l=s.strTranslate,c=t("../../components/drawing"),u=t("tinycolor2"),f=t("../../lib/svg_text_utils");function h(t,e,r,i){var a=t.map(F.bind(0,e,r)),o=i.selectAll("g.parcatslayer").data([null]);o.enter().append("g").attr("class","parcatslayer").style("pointer-events","all");var u=o.selectAll("g.trace.parcats").data(a,p),h=u.enter().append("g").attr("class","trace parcats");u.attr("transform",(function(t){return l(t.x,t.y)})),h.append("g").attr("class","paths");var y=u.select("g.paths").selectAll("path.path").data((function(t){return t.paths}),p);y.attr("fill",(function(t){return t.model.color}));var x=y.enter().append("path").attr("class","path").attr("stroke-opacity",0).attr("fill",(function(t){return t.model.color})).attr("fill-opacity",0);_(x),y.attr("d",(function(t){return t.svgD})),x.empty()||y.sort(m),y.exit().remove(),y.on("mouseover",g).on("mouseout",v).on("click",b),h.append("g").attr("class","dimensions");var w=u.select("g.dimensions").selectAll("g.dimension").data((function(t){return t.dimensions}),p);w.enter().append("g").attr("class","dimension"),w.attr("transform",(function(t){return l(t.x,0)})),w.exit().remove();var A=w.selectAll("g.category").data((function(t){return t.categories}),p),M=A.enter().append("g").attr("class","category");A.attr("transform",(function(t){return l(0,t.y)})),M.append("rect").attr("class","catrect").attr("pointer-events","none"),A.select("rect.catrect").attr("fill","none").attr("width",(function(t){return t.width})).attr("height",(function(t){return t.height})),T(M);var S=A.selectAll("rect.bandrect").data((function(t){return t.bands}),p);S.each((function(){s.raiseToTop(this)})),S.attr("fill",(function(t){return t.color}));var E=S.enter().append("rect").attr("class","bandrect").attr("stroke-opacity",0).attr("fill",(function(t){return t.color})).attr("fill-opacity",0);S.attr("fill",(function(t){return t.color})).attr("width",(function(t){return t.width})).attr("height",(function(t){return t.height})).attr("y",(function(t){return t.y})).attr("cursor",(function(t){return"fixed"===t.parcatsViewModel.arrangement?"default":"perpendicular"===t.parcatsViewModel.arrangement?"ns-resize":"move"})),k(E),S.exit().remove(),M.append("text").attr("class","catlabel").attr("pointer-events","none");var z=e._fullLayout.paper_bgcolor;A.select("text.catlabel").attr("text-anchor",(function(t){return d(t)?"start":"end"})).attr("alignment-baseline","middle").style("text-shadow",f.makeTextShadow(z)).style("fill","rgb(0, 0, 0)").attr("x",(function(t){return d(t)?t.width+5:-5})).attr("y",(function(t){return t.height/2})).text((function(t){return t.model.categoryLabel})).each((function(t){c.font(n.select(this),t.parcatsViewModel.categorylabelfont),f.convertToTspans(n.select(this),e)})),M.append("text").attr("class","dimlabel"),A.select("text.dimlabel").attr("text-anchor","middle").attr("alignment-baseline","baseline").attr("cursor",(function(t){return"fixed"===t.parcatsViewModel.arrangement?"default":"ew-resize"})).attr("x",(function(t){return t.width/2})).attr("y",-5).text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){c.font(n.select(this),t.parcatsViewModel.labelfont)})),A.selectAll("rect.bandrect").on("mouseover",L).on("mouseout",C),A.exit().remove(),w.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on("dragstart",P).on("drag",I).on("dragend",O)),u.each((function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll("g.paths").selectAll("path.path"),t.dimensionSelection=n.select(this).selectAll("g.dimensions").selectAll("g.dimension")})),u.exit().remove()}function p(t){return t.key}function d(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function m(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function g(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip")){s.raiseToTop(this),w(n.select(this));var e=y(t),r=x(t);if(t.parcatsViewModel.graphDiv.emit("plotly_hover",{points:e,event:n.event,constraints:r}),-1===t.parcatsViewModel.hoverinfoItems.indexOf("none")){var i,a,l,c=n.mouse(this)[0],f=t.parcatsViewModel.graphDiv,h=t.parcatsViewModel.trace,p=f._fullLayout,d=p._paperdiv.node().getBoundingClientRect(),m=t.parcatsViewModel.graphDiv.getBoundingClientRect();for(l=0;l<t.leftXs.length-1;l++)if(t.leftXs[l]+t.dimWidths[l]-2<=c&&c<=t.leftXs[l+1]+2){var g=t.parcatsViewModel.dimensions[l],v=t.parcatsViewModel.dimensions[l+1];i=(g.x+g.width+v.x)/2,a=(t.topYs[l]+t.topYs[l+1]+t.height)/2;break}var b=t.parcatsViewModel.x+i,_=t.parcatsViewModel.y+a,T=u.mostReadable(t.model.color,["black","white"]),k=t.model.count,A=k/t.parcatsViewModel.model.count,M={countLabel:k,probabilityLabel:A.toFixed(3)},S=[];-1!==t.parcatsViewModel.hoverinfoItems.indexOf("count")&&S.push(["Count:",M.countLabel].join(" ")),-1!==t.parcatsViewModel.hoverinfoItems.indexOf("probability")&&S.push(["P:",M.probabilityLabel].join(" "));var E=S.join("<br>"),L=n.mouse(f)[0];o.loneHover({trace:h,x:b-d.left+m.left,y:_-d.top+m.top,text:E,color:t.model.color,borderColor:"black",fontFamily:'Monaco, "Courier New", monospace',fontSize:10,fontColor:T,idealAlign:L<b?"right":"left",hovertemplate:(h.line||{}).hovertemplate,hovertemplateLabels:M,eventData:[{data:h._input,fullData:h,count:k,probability:A}]},{container:p._hoverlayer.node(),outerContainer:p._paper.node(),gd:f})}}}function v(t){if(!t.parcatsViewModel.dragDimension&&(_(n.select(this)),o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(m),-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip"))){var e=y(t),r=x(t);t.parcatsViewModel.graphDiv.emit("plotly_unhover",{points:e,event:n.event,constraints:r})}}function y(t){for(var e=[],r=z(t.parcatsViewModel),n=0;n<t.model.valueInds.length;n++){var i=t.model.valueInds[n];e.push({curveNumber:r,pointNumber:i})}return e}function x(t){for(var e={},r=t.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var i=r[n],a=i.categories[t.model.categoryInds[n]];e[i.containerInd]=a.categoryValue}return void 0!==t.model.rawColor&&(e.color=t.model.rawColor),e}function b(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip")){var e=y(t),r=x(t);t.parcatsViewModel.graphDiv.emit("plotly_click",{points:e,event:n.event,constraints:r})}}function _(t){t.attr("fill",(function(t){return t.model.color})).attr("fill-opacity",.6).attr("stroke","lightgray").attr("stroke-width",.2).attr("stroke-opacity",1)}function w(t){t.attr("fill-opacity",.8).attr("stroke",(function(t){return u.mostReadable(t.model.color,["black","white"])})).attr("stroke-width",.3)}function T(t){t.select("rect.catrect").attr("stroke","black").attr("stroke-width",1).attr("stroke-opacity",1)}function k(t){t.attr("stroke","black").attr("stroke-width",.2).attr("stroke-opacity",1).attr("fill-opacity",1)}function A(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter((function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color}))}function M(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=n.select(t.parentNode).selectAll("rect.bandrect"),l=[];s.each((function(t){A(t).each((function(t){Array.prototype.push.apply(l,y(t))}))}));var c={};c[a.dimensionInd]=a.categoryValue,o.emit(e,{points:l,event:r,constraints:c})}function S(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=A(i),l=[];s.each((function(t){Array.prototype.push.apply(l,y(t))}));var c={};c[a.dimensionInd]=a.categoryValue,void 0!==i.rawColor&&(c.color=i.rawColor),o.emit(e,{points:l,event:r,constraints:c})}function E(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=n.select(r.parentNode).select("rect.catrect"),c=l.node().getBoundingClientRect(),u=l.datum(),f=u.parcatsViewModel,h=f.model.dimensions[u.model.dimensionInd],p=f.trace,d=c.top+c.height/2;f.dimensions.length>1&&h.displayInd===f.dimensions.length-1?(i=c.left,a="left"):(i=c.left+c.width,a="right");var m=u.model.count,g=u.model.categoryLabel,v=m/u.parcatsViewModel.model.count,y={countLabel:m,categoryLabel:g,probabilityLabel:v.toFixed(3)},x=[];-1!==u.parcatsViewModel.hoverinfoItems.indexOf("count")&&x.push(["Count:",y.countLabel].join(" ")),-1!==u.parcatsViewModel.hoverinfoItems.indexOf("probability")&&x.push(["P("+y.categoryLabel+"):",y.probabilityLabel].join(" "));var b=x.join("<br>");return{trace:p,x:o*(i-e.left),y:s*(d-e.top),text:b,color:"lightgray",borderColor:"black",fontFamily:'Monaco, "Courier New", monospace',fontSize:12,fontColor:"black",idealAlign:a,hovertemplate:p.hovertemplate,hovertemplateLabels:y,eventData:[{data:p._input,fullData:p,count:m,category:g,probability:v}]}}function L(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip")){if(n.mouse(this)[1]<-1)return;var e,r=t.parcatsViewModel.graphDiv,i=r._fullLayout,a=i._paperdiv.node().getBoundingClientRect(),l=t.parcatsViewModel.hoveron;if("color"===l?(!function(t){var e=n.select(t).datum(),r=A(e);w(r),r.each((function(){s.raiseToTop(this)})),n.select(t.parentNode).selectAll("rect.bandrect").filter((function(t){return t.color===e.color})).each((function(){s.raiseToTop(this),n.select(this).attr("stroke","black").attr("stroke-width",1.5)}))}(this),S(this,"plotly_hover",n.event)):(!function(t){n.select(t.parentNode).selectAll("rect.bandrect").each((function(t){var e=A(t);w(e),e.each((function(){s.raiseToTop(this)}))})),n.select(t.parentNode).select("rect.catrect").attr("stroke","black").attr("stroke-width",2.5)}(this),M(this,"plotly_hover",n.event)),-1===t.parcatsViewModel.hoverinfoItems.indexOf("none"))"category"===l?e=E(r,a,this):"color"===l?e=function(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=r.getBoundingClientRect(),c=n.select(r).datum(),f=c.categoryViewModel,h=f.parcatsViewModel,p=h.model.dimensions[f.model.dimensionInd],d=h.trace,m=l.y+l.height/2;h.dimensions.length>1&&p.displayInd===h.dimensions.length-1?(i=l.left,a="left"):(i=l.left+l.width,a="right");var g=f.model.categoryLabel,v=c.parcatsViewModel.model.count,y=0;c.categoryViewModel.bands.forEach((function(t){t.color===c.color&&(y+=t.count)}));var x=f.model.count,b=0;h.pathSelection.each((function(t){t.model.color===c.color&&(b+=t.model.count)}));var _=y/v,w=y/b,T=y/x,k={countLabel:v,categoryLabel:g,probabilityLabel:_.toFixed(3)},A=[];-1!==f.parcatsViewModel.hoverinfoItems.indexOf("count")&&A.push(["Count:",k.countLabel].join(" ")),-1!==f.parcatsViewModel.hoverinfoItems.indexOf("probability")&&(A.push("P(color \u2229 "+g+"): "+k.probabilityLabel),A.push("P("+g+" | color): "+w.toFixed(3)),A.push("P(color | "+g+"): "+T.toFixed(3)));var M=A.join("<br>"),S=u.mostReadable(c.color,["black","white"]);return{trace:d,x:o*(i-e.left),y:s*(m-e.top),text:M,color:c.color,borderColor:"black",fontFamily:'Monaco, "Courier New", monospace',fontColor:S,fontSize:10,idealAlign:a,hovertemplate:d.hovertemplate,hovertemplateLabels:k,eventData:[{data:d._input,fullData:d,category:g,count:v,probability:_,categorycount:x,colorcount:b,bandcolorcount:y}]}}(r,a,this):"dimension"===l&&(e=function(t,e,r){var i=[];return n.select(r.parentNode.parentNode).selectAll("g.category").select("rect.catrect").each((function(){i.push(E(t,e,this))})),i}(r,a,this)),e&&o.loneHover(e,{container:i._hoverlayer.node(),outerContainer:i._paper.node(),gd:r})}}function C(t){var e=t.parcatsViewModel;if(!e.dragDimension&&(_(e.pathSelection),T(e.dimensionSelection.selectAll("g.category")),k(e.dimensionSelection.selectAll("g.category").selectAll("rect.bandrect")),o.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(m),-1===e.hoverinfoItems.indexOf("skip"))){"color"===t.parcatsViewModel.hoveron?S(this,"plotly_unhover",n.event):M(this,"plotly_unhover",n.event)}}function P(t){"fixed"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll("g.category").select("rect.catrect").each((function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,s.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll("rect.bandrect").each((function(e){e.y<i&&i<=e.y+e.height&&(t.potentialClickBand=this)})))})),t.parcatsViewModel.dragDimension=t,o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function I(t){if("fixed"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,i=e+1,a=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=a.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var s=o.model.dragY,l=o.model.displayInd,c=a.categories,u=c[l-1],f=c[l+1];void 0!==u&&s<u.y+u.height/2&&(o.model.displayInd=u.model.displayInd,u.model.displayInd=l),void 0!==f&&s+o.height>f.y+f.height/2&&(o.model.displayInd=f.model.displayInd,f.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||"freeform"===t.parcatsViewModel.arrangement){a.model.dragX=n.event.x;var h=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[i];void 0!==h&&a.model.dragX<h.x+h.width&&(a.model.displayInd=h.model.displayInd,h.model.displayInd=e),void 0!==p&&a.model.dragX+a.width>p.x&&(a.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=a.model.displayInd}j(t.parcatsViewModel),N(t.parcatsViewModel),R(t.parcatsViewModel),D(t.parcatsViewModel)}}function O(t){if("fixed"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll("text").attr("font-weight","normal");var e={},r=z(t.parcatsViewModel),i=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),o=t.initialDragDimensionDisplayInds.some((function(t,e){return t!==i[e]}));o&&i.forEach((function(r,n){var i=t.parcatsViewModel.model.dimensions[n].containerInd;e["dimensions["+i+"].displayindex"]=r}));var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map((function(t){return t.displayInd}));if(s=t.initialDragCategoryDisplayInds.some((function(t,e){return t!==l[e]}))){var c=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),u=c.map((function(t){return t.categoryValue})),f=c.map((function(t){return 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strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),calc:t("./calc"),colorbar:{container:"line",min:"cmin",max:"cmax"},moduleType:"trace",name:"parcoords",basePlotModule:t("./base_plot"),categories:["gl","regl","noOpacity","noHover"],meta:{}}},{"./attributes":883,"./base_plot":886,"./calc":887,"./defaults":889}],886:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../../plots/get_data").getModuleCalcData,a=t("./plot"),o=t("../../constants/xmlns_namespaces");r.name="parcoords",r.plot=function(t){var e=i(t.calcdata,"parcoords")[0];e.length&&a(t,e)},r.clean=function(t,e,r,n){var i=n._has&&n._has("parcoords"),a=e._has&&e._has("parcoords");i&&!a&&(n._paperdiv.selectAll(".parcoords").remove(),n._glimages.selectAll("*").remove())},r.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(".svg-container");r.filter((function(t,e){return e===r.size()-1})).selectAll(".gl-canvas-context, .gl-canvas-focus").each((function(){var t=this.toDataURL("image/png");e.append("svg:image").attr({xmlns:o.svg,"xlink:href":t,preserveAspectRatio:"none",x:0,y:0,width:this.style.width,height:this.style.height})})),window.setTimeout((function(){n.selectAll("#filterBarPattern").attr("id","filterBarPattern")}),60)}},{"../../constants/xmlns_namespaces":475,"../../plots/get_data":588,"./plot":895,"@plotly/d3":58}],887:[function(t,e,r){"use strict";var n=t("../../lib").isArrayOrTypedArray,i=t("../../components/colorscale"),a=t("../../lib/gup").wrap;e.exports=function(t,e){var r,o;return i.hasColorscale(e,"line")&&n(e.line.color)?(r=e.line.color,o=i.extractOpts(e.line).colorscale,i.calc(t,e,{vals:r,containerStr:"line",cLetter:"c"})):(r=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=.5;return e}(e._length),o=[[0,e.line.color],[1,e.line.color]]),a({lineColor:r,cscale:o})}},{"../../components/colorscale":373,"../../lib":498,"../../lib/gup":495}],888:[function(t,e,r){"use strict";e.exports={maxDimensionCount:60,overdrag:45,verticalPadding:2,tickDistance:50,canvasPixelRatio:1,blockLineCount:5e3,layers:["contextLineLayer","focusLineLayer","pickLineLayer"],axisTitleOffset:28,axisExtentOffset:10,deselectedLineColor:"#777",bar:{width:4,captureWidth:10,fillColor:"magenta",fillOpacity:1,snapDuration:150,snapRatio:.25,snapClose:.01,strokeOpacity:1,strokeWidth:1,handleHeight:8,handleOpacity:1,handleOverlap:0},cn:{axisExtentText:"axis-extent-text",parcoordsLineLayers:"parcoords-line-layers",parcoordsLineLayer:"parcoords-lines",parcoords:"parcoords",parcoordsControlView:"parcoords-control-view",yAxis:"y-axis",axisOverlays:"axis-overlays",axis:"axis",axisHeading:"axis-heading",axisTitle:"axis-title",axisExtent:"axis-extent",axisExtentTop:"axis-extent-top",axisExtentTopText:"axis-extent-top-text",axisExtentBottom:"axis-extent-bottom",axisExtentBottomText:"axis-extent-bottom-text",axisBrush:"axis-brush"},id:{filterBarPattern:"filter-bar-pattern"}}},{}],889:[function(t,e,r){"use 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s.extendFlat({key:f,resolution:[x,b],viewBoxPos:[o+v,l],viewBoxSize:[c,u],i0:i,i1:a,dim0A:m[0].slice(0,16),dim0B:m[0].slice(16,32),dim0C:m[0].slice(32,48),dim0D:m[0].slice(48,64),dim1A:m[1].slice(0,16),dim1B:m[1].slice(16,32),dim1C:m[1].slice(32,48),dim1D:m[1].slice(48,64),drwLayer:h,contextColor:[A[0]/255,A[1]/255,A[2]/255,A[3]<1?A[3]:Math.max(1/255,Math.pow(1/t.lines.color.length,1/3))],scissorX:(n===e?0:o+v)+(_-v)+k*y.x[0],scissorWidth:(n===r?x-o+v:c+.5)+(n===e?o+v:0),scissorY:l+w+T*y.y[0],scissorHeight:u,viewportX:_-v+k*y.x[0],viewportY:w+T*y.y[0],viewportWidth:x,viewportHeight:b},p)}function x(t){var e=Math.max(0,Math.floor(2047*t[0]),0),r=Math.min(2047,Math.ceil(2047*t[1]),2047);return[Math.min(e,r),Math.max(e,r)]}e.exports=function(t,e){var r,n,l,g,b,_=e.context,w=e.pick,T=e.regl,k=T._gl,A=k.getParameter(k.ALIASED_LINE_WIDTH_RANGE),M=Math.max(A[0],Math.min(A[1],e.viewModel.plotGlPixelRatio)),S={currentRafs:{},drawCompleted:!0,clearOnly:!1},E=function(t){for(var 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I(t){r=t.model,n=t.viewModel,l=n.dimensions.slice(),g=l[0]?l[0].values.length:0;var e=r.lines,i=w?e.color.map((function(t,r){return r/e.color.length})):e.color,a=function(t,e,r){for(var n,i=new Array(t*(o+4)),a=0,s=0;s<t;s++){for(var l=0;l<o;l++)i[a++]=l<e.length?e[l].paddedUnitValues[s]:.5;i[a++]=d(s,2),i[a++]=d(s,1),i[a++]=d(s,0),i[a++]=(n=r[s],Math.max(1e-6,Math.min(.999999,n)))}return i}(g,l,i);!function(t,e,r){for(var n=0;n<=o;n+=4)t[v(n)](m(n/4,e,r))}(E,g,a),_||w||(L=T.texture(s.extendFlat({data:p(r.unitToColor,255)},u)))}return{render:function(t,e,n){var i,a,o,s=t.length,c=1/0,u=-1/0;for(i=0;i<s;i++)t[i].dim0.canvasX<c&&(c=t[i].dim0.canvasX,a=i),t[i].dim1.canvasX>u&&(u=t[i].dim1.canvasX,o=i);0===s&&f(T,0,0,r.canvasWidth,r.canvasHeight);var p=function(t){var e,r,n,i=[[],[]];for(n=0;n<64;n++){var a=!t&&n<l.length?l[n].brush.filter.getBounds():[-1/0,1/0];i[0][n]=a[0],i[1][n]=a[1]}var o=new Array(16384);for(e=0;e<16384;e++)o[e]=255;if(!t)for(e=0;e<l.length;e++){var s=e%8,c=(e-s)/8,u=Math.pow(2,s),f=l[e].brush.filter.get();if(!(f.length<2)){var h=x(f[0])[1];for(r=1;r<f.length;r++){var p=x(f[r]);for(n=h+1;n<p[0];n++)o[8*n+c]&=~u;h=Math.max(h,p[1])}}}var d={shape:[8,2048],format:"alpha",type:"uint8",mag:"nearest",min:"nearest",data:o};return b?b(d):b=T.texture(d),{maskTexture:b,maskHeight:2048,loA:i[0].slice(0,16),loB:i[0].slice(16,32),loC:i[0].slice(32,48),loD:i[0].slice(48,64),hiA:i[1].slice(0,16),hiB:i[1].slice(16,32),hiC:i[1].slice(32,48),hiD:i[1].slice(48,64)}}(_);for(i=0;i<s;i++){var d=t[i],m=d.dim0.crossfilterDimensionIndex,v=d.dim1.crossfilterDimensionIndex,k=d.canvasX,A=d.canvasY,M=k+d.panelSizeX,E=d.plotGlPixelRatio;if(e||!C[m]||C[m][0]!==k||C[m][1]!==M){C[m]=[k,M];var L=y(r,a,o,i,m,v,k,A,d.panelSizeX,d.panelSizeY,d.dim0.crossfilterDimensionIndex,_?0:w?2:1,p,E);S.clearOnly=n;var I=e?r.lines.blockLineCount:g;h(T,P,S,I,g,L)}}},readPixel:function(t,e){return T.read({x:t,y:e,width:1,height:1,data:c}),c},readPixels:function(t,e,r,n){var i=new Uint8Array(4*r*n);return T.read({x:t,y:e,width:r,height:n,data:i}),i},destroy:function(){for(var e in t.style["pointer-events"]="none",L.destroy(),b&&b.destroy(),E)E[e].destroy()},update:I}}},{"../../lib":498,"./constants":888,glslify:222}],893:[function(t,e,r){"use strict";e.exports=function(t,e,r,n){var i,a;for(n||(n=1/0),i=0;i<e.length;i++)(a=e[i]).visible&&(n=Math.min(n,a[r].length));for(n===1/0&&(n=0),t._length=n,i=0;i<e.length;i++)(a=e[i]).visible&&(a._length=n);return n}},{}],894:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../../lib"),a=i.numberFormat,o=t("color-rgba"),s=t("../../plots/cartesian/axes"),l=i.strRotate,c=i.strTranslate,u=t("../../lib/svg_text_utils"),f=t("../../components/drawing"),h=t("../../components/colorscale"),p=t("../../lib/gup"),d=p.keyFun,m=p.repeat,g=p.unwrap,v=t("./helpers"),y=t("./constants"),x=t("./axisbrush"),b=t("./lines");function _(t,e,r){return i.aggNums(t,null,e,r)}function w(t,e){return k(_(Math.min,t,e),_(Math.max,t,e))}function 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0!==(x=c[r])&&""!==x||(x=r);var _=d[x=String(x)];void 0===_?(d[x]=a.length,(b=-1!==l.indexOf(x))||(g+=y),a.push({v:y,label:x,color:m(u[r],x),i:r,pts:[r],hidden:b})):(v=!0,(i=a[_]).v+=y,i.pts.push(r),i.hidden||(g+=y),!1===i.color&&u[r]&&(i.color=m(u[r],x)))}return a=a.filter((function(t){return t.v>=0})),("funnelarea"===e.type?v:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=g),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r="pie");var n=t._fullLayout,i=t.calcdata,a=n[r+"colorway"],s=n["_"+r+"colormap"];n["extend"+r+"colors"]&&(a=l(a,o));for(var c=0,u=0;u<i.length;u++){var f=i[u];if(f[0].trace.type===r)for(var h=0;h<f.length;h++){var p=f[h];!1===p.color&&(s[p.label]?p.color=s[p.label]:(s[p.label]=p.color=a[c%a.length],c++))}}},makePullColorFn:s,generateExtendedColors:l}},{"../../components/color":361,"fast-isnumeric":185,tinycolor2:307}],899:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("../../lib"),a=t("./attributes"),o=t("../../plots/domain").defaults,s=t("../bar/defaults").handleText;function l(t,e){var r=Array.isArray(t),a=i.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,a?e.length:1/0);if(isFinite(o)||(o=0),o&&a){for(var s,l=0;l<o;l++){var c=e[l];if(n(c)&&c>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}e.exports={handleLabelsAndValues:l,supplyDefaults:function(t,e,r,n){function c(r,n){return i.coerce(t,e,a,r,n)}var u=l(c("labels"),c("values")),f=u.len;if(e._hasLabels=u.hasLabels,e._hasValues=u.hasValues,!e._hasLabels&&e._hasValues&&(c("label0"),c("dlabel")),f){e._length=f,c("marker.line.width")&&c("marker.line.color"),c("marker.colors"),c("scalegroup");var h,p=c("text"),d=c("texttemplate");if(d||(h=c("textinfo",Array.isArray(p)?"text+percent":"percent")),c("hovertext"),c("hovertemplate"),d||h&&"none"!==h){var m=c("textposition");s(t,e,n,c,m,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(m)||"auto"===m||"outside"===m)&&c("automargin"),("inside"===m||"auto"===m||Array.isArray(m))&&c("insidetextorientation")}o(e,n,c);var g=c("hole");if(c("title.text")){var v=c("title.position",g?"middle center":"top center");g||"middle center"!==v||(e.title.position="top center"),i.coerceFont(c,"title.font",n.font)}c("sort"),c("direction"),c("rotation"),c("pull")}else e.visible=!1}}},{"../../lib":498,"../../plots/domain":579,"../bar/defaults":647,"./attributes":896,"fast-isnumeric":185}],900:[function(t,e,r){"use strict";var n=t("../../components/fx/helpers").appendArrayMultiPointValues;e.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,bbox:t.bbox,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),"funnelarea"===e.type&&(delete r.v,delete r.i),r}},{"../../components/fx/helpers":397}],901:[function(t,e,r){"use strict";var n=t("../../lib");function i(t){return-1!==t.indexOf("e")?t.replace(/[.]?0+e/,"e"):-1!==t.indexOf(".")?t.replace(/[.]?0+$/,""):t}r.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+"%"},r.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},r.getFirstFilled=function(t,e){if(Array.isArray(t))for(var r=0;r<e.length;r++){var n=t[e[r]];if(n||0===n||""===n)return n}},r.castOption=function(t,e){return Array.isArray(t)?r.getFirstFilled(t,e):t||void 0},r.getRotationAngle=function(t){return("auto"===t?0:t)*Math.PI/180}},{"../../lib":498}],902:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults").supplyDefaults,supplyLayoutDefaults:t("./layout_defaults"),layoutAttributes:t("./layout_attributes"),calc:t("./calc").calc,crossTraceCalc:t("./calc").crossTraceCalc,plot:t("./plot").plot,style:t("./style"),styleOne:t("./style_one"),moduleType:"trace",name:"pie",basePlotModule:t("./base_plot"),categories:["pie-like","pie","showLegend"],meta:{}}},{"./attributes":896,"./base_plot":897,"./calc":898,"./defaults":899,"./layout_attributes":903,"./layout_defaults":904,"./plot":905,"./style":906,"./style_one":907}],903:[function(t,e,r){"use strict";e.exports={hiddenlabels:{valType:"data_array",editType:"calc"},piecolorway:{valType:"colorlist",editType:"calc"},extendpiecolors:{valType:"boolean",dflt:!0,editType:"calc"}}},{}],904:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./layout_attributes");e.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r("hiddenlabels"),r("piecolorway",e.colorway),r("extendpiecolors")}},{"../../lib":498,"./layout_attributes":903}],905:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../../plots/plots"),a=t("../../components/fx"),o=t("../../components/color"),s=t("../../components/drawing"),l=t("../../lib"),c=l.strScale,u=l.strTranslate,f=t("../../lib/svg_text_utils"),h=t("../bar/uniform_text"),p=h.recordMinTextSize,d=h.clearMinTextSize,m=t("../bar/constants").TEXTPAD,g=t("./helpers"),v=t("./event_data"),y=t("../../lib").isValidTextValue;function x(t,e,r){var i=r[0],o=i.cx,s=i.cy,c=i.trace,u="funnelarea"===c.type;"_hasHoverLabel"in c||(c._hasHoverLabel=!1),"_hasHoverEvent"in c||(c._hasHoverEvent=!1),t.on("mouseover",(function(t){var r=e._fullLayout,f=e._fullData[c.index];if(!e._dragging&&!1!==r.hovermode){var h=f.hoverinfo;if(Array.isArray(h)&&(h=a.castHoverinfo({hoverinfo:[g.castOption(h,t.pts)],_module:c._module},r,0)),"all"===h&&(h="label+text+value+percent+name"),f.hovertemplate||"none"!==h&&"skip"!==h&&h){var p=t.rInscribed||0,d=o+t.pxmid[0]*(1-p),m=s+t.pxmid[1]*(1-p),y=r.separators,x=[];if(h&&-1!==h.indexOf("label")&&x.push(t.label),t.text=g.castOption(f.hovertext||f.text,t.pts),h&&-1!==h.indexOf("text")){var b=t.text;l.isValidTextValue(b)&&x.push(b)}t.value=t.v,t.valueLabel=g.formatPieValue(t.v,y),h&&-1!==h.indexOf("value")&&x.push(t.valueLabel),t.percent=t.v/i.vTotal,t.percentLabel=g.formatPiePercent(t.percent,y),h&&-1!==h.indexOf("percent")&&x.push(t.percentLabel);var _=f.hoverlabel,w=_.font,T=[];a.loneHover({trace:c,x0:d-p*i.r,x1:d+p*i.r,y:m,_x0:u?o+t.TL[0]:d-p*i.r,_x1:u?o+t.TR[0]:d+p*i.r,_y0:u?s+t.TL[1]:m-p*i.r,_y1:u?s+t.BL[1]:m+p*i.r,text:x.join("<br>"),name:f.hovertemplate||-1!==h.indexOf("name")?f.name:void 0,idealAlign:t.pxmid[0]<0?"left":"right",color:g.castOption(_.bgcolor,t.pts)||t.color,borderColor:g.castOption(_.bordercolor,t.pts),fontFamily:g.castOption(w.family,t.pts),fontSize:g.castOption(w.size,t.pts),fontColor:g.castOption(w.color,t.pts),nameLength:g.castOption(_.namelength,t.pts),textAlign:g.castOption(_.align,t.pts),hovertemplate:g.castOption(f.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[v(t,f)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],c._hasHoverLabel=!0}c._hasHoverEvent=!0,e.emit("plotly_hover",{points:[v(t,f)],event:n.event})}})),t.on("mouseout",(function(t){var r=e._fullLayout,i=e._fullData[c.index],o=n.select(this).datum();c._hasHoverEvent&&(t.originalEvent=n.event,e.emit("plotly_unhover",{points:[v(o,i)],event:n.event}),c._hasHoverEvent=!1),c._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),c._hasHoverLabel=!1)})),t.on("click",(function(t){var r=e._fullLayout,i=e._fullData[c.index];e._dragging||!1===r.hovermode||(e._hoverdata=[v(t,i)],a.click(e,n.event))}))}function b(t,e,r){var n=g.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=g.castOption(t._input.textfont.color,e.pts));var i=g.castOption(t.insidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.insidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:i,size:a}}function _(t,e){for(var r,n,i=0;i<t.length;i++)if((n=(r=t[i][0]).trace).title.text){var a=n.title.text;n._meta&&(a=l.templateString(a,n._meta));var o=s.tester.append("text").attr("data-notex",1).text(a).call(s.font,n.title.font).call(f.convertToTspans,e),c=s.bBox(o.node(),!0);r.titleBox={width:c.width,height:c.height},o.remove()}}function w(t,e,r){var n=r.r||e.rpx1,i=e.rInscribed;if(e.startangle===e.stopangle)return{rCenter:1-i,scale:0,rotate:0,textPosAngle:0};var a,o=e.ring,s=1===o&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,l=e.halfangle,c=e.midangle,u=r.trace.insidetextorientation,f="horizontal"===u,h="tangential"===u,p="radial"===u,d="auto"===u,m=[];if(!d){var g,v=function(r,i){if(function(t,e){var r=t.startangle,n=t.stopangle;return r>e&&e>n||r<e&&e<n}(e,r)){var s=Math.abs(r-e.startangle),l=Math.abs(r-e.stopangle),c=s<l?s:l;(a="tan"===i?k(t,n,o,c,0):T(t,n,o,c,Math.PI/2)).textPosAngle=r,m.push(a)}};if(f||h){for(g=4;g>=-4;g-=2)v(Math.PI*g,"tan");for(g=4;g>=-4;g-=2)v(Math.PI*(g+1),"tan")}if(f||p){for(g=4;g>=-4;g-=2)v(Math.PI*(g+1.5),"rad");for(g=4;g>=-4;g-=2)v(Math.PI*(g+.5),"rad")}}if(s||d||f){var y=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/y,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;m.push(a)}(d||p)&&((a=T(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,m.push(a)),(d||h)&&((a=k(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,m.push(a));for(var x=0,b=0,_=0;_<m.length;_++){var w=m[_].scale;if(b<w&&(b=w,x=_),!d&&b>=1)break}return m[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*m);var a=t.width/t.height,o=S(a,n,e,r);return{scale:2*o/t.height,rCenter:A(a,o/e),rotate:M(i)}}function k(t,e,r,n,i){e=Math.max(0,e-2*m);var a=t.height/t.width,o=S(a,n,e,r);return{scale:2*o/t.width,rCenter:A(a,o/e),rotate:M(i+Math.PI/2)}}function A(t,e){return Math.cos(e)-t*e}function M(t){return(180/Math.PI*t+720)%180-90}function S(t,e,r,n){var i=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(i*i+.5)+i),n/(Math.sqrt(t*t+n/2)+t))}function E(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function L(t,e){var r=e.pxmid[0],n=e.pxmid[1],i=t.width/2,a=t.height/2;return r<0&&(i*=-1),n<0&&(a*=-1),{scale:1,rCenter:1,rotate:0,x:i+Math.abs(a)*(i>0?1:-1)/2,y:a/(1+r*r/(n*n)),outside:!0}}function C(t,e){var r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=I(a),-1!==a.title.position.indexOf("top")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf("bottom")&&(o.y+=(1+i)*t.r);var l,c,u=(l=t.r,c=t.trace.aspectratio,l/(void 0===c?1:c)),f=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf("left")?(f+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf("center")?f*=2:-1!==a.title.position.indexOf("right")&&(f+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=f/t.titleBox.width,n=P(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function P(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function I(t){var e,r=t.pull;if(!r)return 0;if(Array.isArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function O(t,e){for(var r=[],n=0;n<t.length;n++){var i=t[n][0],a=i.trace,o=a.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);a.title.text&&"middle center"!==a.title.position&&(l-=P(i,e));var c=s/2,u=l/2;"funnelarea"!==a.type||a.scalegroup||(u/=a.aspectratio),i.r=Math.min(c,u)/(1+I(a)),i.cx=e.l+e.w*(a.domain.x[1]+a.domain.x[0])/2,i.cy=e.t+e.h*(1-a.domain.y[0])-l/2,a.title.text&&-1!==a.title.position.indexOf("bottom")&&(i.cy-=P(i,e)),a.scalegroup&&-1===r.indexOf(a.scalegroup)&&r.push(a.scalegroup)}!function(t,e){for(var r,n,i,a=0;a<e.length;a++){var o=1/0,s=e[a];for(n=0;n<t.length;n++)if(r=t[n][0],(i=r.trace).scalegroup===s){var l;if("pie"===i.type)l=r.r*r.r;else if("funnelarea"===i.type){var c,u;i.aspectratio>1?(c=r.r,u=c/i.aspectratio):(u=r.r,c=u*i.aspectratio),c*=(1+i.baseratio)/2,l=c*u}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if(r=t[n][0],(i=r.trace).scalegroup===s){var f=o*r.vTotal;"funnelarea"===i.type&&(f/=(1+i.baseratio)/2,f/=i.aspectratio),r.r=Math.sqrt(f)}}}(t,r)}function z(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function D(t,e,r){var n=t._fullLayout,i=r.trace,a=i.texttemplate,o=i.textinfo;if(!a&&o&&"none"!==o){var s,c=o.split("+"),u=function(t){return-1!==c.indexOf(t)},f=u("label"),h=u("text"),p=u("value"),d=u("percent"),m=n.separators;if(s=f?[e.label]:[],h){var v=g.getFirstFilled(i.text,e.pts);y(v)&&s.push(v)}p&&s.push(g.formatPieValue(e.v,m)),d&&s.push(g.formatPiePercent(e.v/r.vTotal,m)),e.text=s.join("<br>")}if(a){var x=l.castOption(i,e.i,"texttemplate");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:g.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:g.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,"customdata")}}(e),_=g.getFirstFilled(i.text,e.pts);(y(_)||""===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,i._meta||{})}else e.text=""}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}e.exports={plot:function(t,e){var r=t._fullLayout,a=r._size;d("pie",r),_(e,t),O(e,a);var h=l.makeTraceGroups(r._pielayer,e,"trace").each((function(e){var h=n.select(this),d=e[0],m=d.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=g.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,c="px0",u="px1";if("counterclockwise"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,c="px1",u="px0"}for(n=z(a,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[c]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=z(a,s),r.midangle=s,s+=l*r.v/2,n=z(a,s),r.stopangle=s,r[u]=n,r.largeArc=r.v>i.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),h.attr("stroke-linejoin","round"),h.each((function(){var v=n.select(this).selectAll("g.slice").data(e);v.enter().append("g").classed("slice",!0),v.exit().remove();var y=[[[],[]],[[],[]]],_=!1;v.each((function(i,a){if(i.hidden)n.select(this).selectAll("path,g").remove();else{i.pointNumber=i.i,i.curveNumber=m.index,y[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var o=d.cx,c=d.cy,u=n.select(this),h=u.selectAll("path.surface").data([i]);if(h.enter().append("path").classed("surface",!0).style({"pointer-events":"all"}),u.call(x,t,e),m.pull){var v=+g.castOption(m.pull,i.pts)||0;v>0&&(o+=v*i.pxmid[0],c+=v*i.pxmid[1])}i.cxFinal=o,i.cyFinal=c;var T=m.hole;if(i.v===d.vTotal){var k="M"+(o+i.px0[0])+","+(c+i.px0[1])+C(i.px0,i.pxmid,!0,1)+C(i.pxmid,i.px0,!0,1)+"Z";T?h.attr("d","M"+(o+T*i.px0[0])+","+(c+T*i.px0[1])+C(i.px0,i.pxmid,!1,T)+C(i.pxmid,i.px0,!1,T)+"Z"+k):h.attr("d",k)}else{var A=C(i.px0,i.px1,!0,1);if(T){var M=1-T;h.attr("d","M"+(o+T*i.px1[0])+","+(c+T*i.px1[1])+C(i.px1,i.px0,!1,T)+"l"+M*i.px0[0]+","+M*i.px0[1]+A+"Z")}else h.attr("d","M"+o+","+c+"l"+i.px0[0]+","+i.px0[1]+A+"Z")}D(t,i,d);var S=g.castOption(m.textposition,i.pts),E=u.selectAll("g.slicetext").data(i.text&&"none"!==S?[0]:[]);E.enter().append("g").classed("slicetext",!0),E.exit().remove(),E.each((function(){var u=l.ensureSingle(n.select(this),"text","",(function(t){t.attr("data-notex",1)})),h=l.ensureUniformFontSize(t,"outside"===S?function(t,e,r){var n=g.castOption(t.outsidetextfont.color,e.pts)||g.castOption(t.textfont.color,e.pts)||r.color,i=g.castOption(t.outsidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.outsidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size;return{color:n,family:i,size:a}}(m,i,r.font):b(m,i,r.font));u.text(i.text).attr({class:"slicetext",transform:"","text-anchor":"middle"}).call(s.font,h).call(f.convertToTspans,t);var v,y=s.bBox(u.node());if("outside"===S)v=L(y,i);else if(v=w(y,i,d),"auto"===S&&v.scale<1){var 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n=t("../../plots/font_attributes"),i=t("../../plots/attributes"),a=t("../../components/color/attributes"),o=t("../../components/fx/attributes"),s=t("../../plots/domain").attributes,l=t("../../plots/template_attributes").hovertemplateAttrs,c=t("../../components/colorscale/attributes"),u=t("../../plot_api/plot_template").templatedArray,f=t("../../plots/cartesian/axis_format_attributes").descriptionOnlyNumbers,h=t("../../lib/extend").extendFlat,p=t("../../plot_api/edit_types").overrideAll;(e.exports=p({hoverinfo:h({},i.hoverinfo,{flags:[],arrayOk:!1}),hoverlabel:o.hoverlabel,domain:s({name:"sankey",trace:!0}),orientation:{valType:"enumerated",values:["v","h"],dflt:"h"},valueformat:{valType:"string",dflt:".3s",description:f("value")},valuesuffix:{valType:"string",dflt:""},arrangement:{valType:"enumerated",values:["snap","perpendicular","freeform","fixed"],dflt:"snap"},textfont:n({}),customdata:void 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h={_id:"x",c2p:u.identity,_offset:r._sankey.translateX,_length:r._sankey.width},p={_id:"y",c2p:u.identity,_offset:r._sankey.translateY,_length:r._sankey.height},d={gd:t,element:o.node(),plotinfo:{id:e,xaxis:h,yaxis:p,fillRangeItems:u.noop},subplot:e,xaxes:[h],yaxes:[p],doneFnCompleted:function(r){var n,i=t._fullData[e],a=i.node.groups.slice(),o=[];function s(t){for(var e=i._sankey.graph.nodes,r=0;r<e.length;r++)if(e[r].pointNumber===t)return e[r]}for(var l=0;l<r.length;l++){var c=s(r[l].pointNumber);if(c)if(c.group){for(var u=0;u<c.childrenNodes.length;u++)o.push(c.childrenNodes[u].pointNumber);a[c.pointNumber-i.node._count]=!1}else o.push(c.pointNumber)}n=a.filter(Boolean).concat([o]),f.call("_guiRestyle",t,{"node.groups":[n]},e)},prepFn:function(t,e,r){c(t,e,r,d,i)}};l.init(d)}}r.name="sankey",r.baseLayoutAttrOverrides=n({hoverlabel:o.hoverlabel},"plot","nested"),r.plot=function(t){var e=i(t.calcdata,"sankey")[0];a(t,e),r.updateFx(t)},r.clean=function(t,e,r,n){var i=n._has&&n._has("sankey"),a=e._has&&e._has("sankey");i&&!a&&(n._paperdiv.selectAll(".sankey").remove(),n._paperdiv.selectAll(".bgsankey").remove())},r.updateFx=function(t){for(var e=0;e<t._fullData.length;e++)h(t,e)}},{"../../components/dragelement":380,"../../components/fx/layout_attributes":402,"../../lib":498,"../../lib/setcursor":519,"../../plot_api/edit_types":531,"../../plots/cartesian/select":570,"../../plots/get_data":588,"../../registry":633,"./plot":918}],914:[function(t,e,r){"use strict";var n=t("strongly-connected-components"),i=t("../../lib"),a=t("../../lib/gup").wrap,o=i.isArrayOrTypedArray,s=i.isIndex,l=t("../../components/colorscale");function c(t){var e,r=t.node,a=t.link,c=[],u=o(a.color),f=o(a.customdata),h={},p={},d=a.colorscales.length;for(e=0;e<d;e++){var m=a.colorscales[e],g=l.extractScale(m,{cLetter:"c"}),v=l.makeColorScaleFunc(g);p[m.label]=v}var y=0;for(e=0;e<a.value.length;e++)a.source[e]>y&&(y=a.source[e]),a.target[e]>y&&(y=a.target[e]);var x,b=y+1;t.node._count=b;var _=t.node.groups,w={};for(e=0;e<_.length;e++){var T=_[e];for(x=0;x<T.length;x++){var k=T[x],A=b+e;w.hasOwnProperty(k)?i.warn("Node "+k+" is already part of a group."):w[k]=A}}var M={source:[],target:[]};for(e=0;e<a.value.length;e++){var S=a.value[e],E=a.source[e],L=a.target[e];if(S>0&&s(E,b)&&s(L,b)&&(!w.hasOwnProperty(E)||!w.hasOwnProperty(L)||w[E]!==w[L])){w.hasOwnProperty(L)&&(L=w[L]),w.hasOwnProperty(E)&&(E=w[E]),L=+L,h[E=+E]=h[L]=!0;var C="";a.label&&a.label[e]&&(C=a.label[e]);var P=null;C&&p.hasOwnProperty(C)&&(P=p[C]),c.push({pointNumber:e,label:C,color:u?a.color[e]:a.color,customdata:f?a.customdata[e]:a.customdata,concentrationscale:P,source:E,target:L,value:+S}),M.source.push(E),M.target.push(L)}}var I=b+_.length,O=o(r.color),z=o(r.customdata),D=[];for(e=0;e<I;e++)if(h[e]){var R=r.label[e];D.push({group:e>b-1,childrenNodes:[],pointNumber:e,label:R,color:O?r.color[e]:r.color,customdata:z?r.customdata[e]:r.customdata})}var F=!1;return function(t,e,r){for(var a=i.init2dArray(t,0),o=0;o<Math.min(e.length,r.length);o++)if(i.isIndex(e[o],t)&&i.isIndex(r[o],t)){if(e[o]===r[o])return!0;a[e[o]].push(r[o])}return n(a).components.some((function(t){return t.length>1}))}(I,M.source,M.target)&&(F=!0),{circular:F,links:c,nodes:D,groups:_,groupLookup:w}}e.exports=function(t,e){var r=c(e);return a({circular:r.circular,_nodes:r.nodes,_links:r.links,_groups:r.groups,_groupLookup:r.groupLookup})}},{"../../components/colorscale":373,"../../lib":498,"../../lib/gup":495,"strongly-connected-components":301}],915:[function(t,e,r){"use strict";e.exports={nodeTextOffsetHorizontal:4,nodeTextOffsetVertical:3,nodePadAcross:10,sankeyIterations:50,forceIterations:5,forceTicksPerFrame:10,duration:500,ease:"linear",cn:{sankey:"sankey",sankeyLinks:"sankey-links",sankeyLink:"sankey-link",sankeyNodeSet:"sankey-node-set",sankeyNode:"sankey-node",nodeRect:"node-rect",nodeLabel:"node-label"}}},{}],916:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./attributes"),a=t("../../components/color"),o=t("tinycolor2"),s=t("../../plots/domain").defaults,l=t("../../components/fx/hoverlabel_defaults"),c=t("../../plot_api/plot_template"),u=t("../../plots/array_container_defaults");function f(t,e){function r(r,a){return n.coerce(t,e,i.link.colorscales,r,a)}r("label"),r("cmin"),r("cmax"),r("colorscale")}e.exports=function(t,e,r,h){function p(r,a){return n.coerce(t,e,i,r,a)}var d=n.extendDeep(h.hoverlabel,t.hoverlabel),m=t.node,g=c.newContainer(e,"node");function v(t,e){return n.coerce(m,g,i.node,t,e)}v("label"),v("groups"),v("x"),v("y"),v("pad"),v("thickness"),v("line.color"),v("line.width"),v("hoverinfo",t.hoverinfo),l(m,g,v,d),v("hovertemplate");var y=h.colorway;v("color",g.label.map((function(t,e){return a.addOpacity(function(t){return y[t%y.length]}(e),.8)}))),v("customdata");var x=t.link||{},b=c.newContainer(e,"link");function _(t,e){return 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function(e){return-1!==e.node.sourceLinks.indexOf(t.link)||-1!==e.node.targetLinks.indexOf(t.link)}}function v(t,e,r){e&&r&&h(r,e).selectAll("."+c.sankeyLink).filter(m(e)).call(x.bind(0,e,r,!1))}function y(t,e,r){e&&r&&h(r,e).selectAll("."+c.sankeyLink).filter(m(e)).call(b.bind(0,e,r,!1))}function x(t,e,r,n){var i=n.datum().link.label;n.style("fill-opacity",(function(t){if(!t.link.concentrationscale)return.4})),i&&h(e,t).selectAll("."+c.sankeyLink).filter((function(t){return t.link.label===i})).style("fill-opacity",(function(t){if(!t.link.concentrationscale)return.4})),r&&h(e,t).selectAll("."+c.sankeyNode).filter(g(t)).call(v)}function b(t,e,r,n){var i=n.datum().link.label;n.style("fill-opacity",(function(t){return t.tinyColorAlpha})),i&&h(e,t).selectAll("."+c.sankeyLink).filter((function(t){return t.link.label===i})).style("fill-opacity",(function(t){return t.tinyColorAlpha})),r&&h(e,t).selectAll(c.sankeyNode).filter(g(t)).call(y)}function _(t,e){var r=t.hoverlabel||{},n=i.nestedProperty(r,e).get();return!Array.isArray(n)&&n}e.exports=function(t,e){for(var r=t._fullLayout,i=r._paper,h=r._size,m=0;m<t._fullData.length;m++)if(t._fullData[m].visible&&t._fullData[m].type===c.sankey&&!t._fullData[m]._viewInitial){var g=t._fullData[m].node;t._fullData[m]._viewInitial={node:{groups:g.groups.slice(),x:g.x.slice(),y:g.y.slice()}}}var w=u(t,"source:")+" ",T=u(t,"target:")+" ",k=u(t,"concentration:")+" ",A=u(t,"incoming flow count:")+" ",M=u(t,"outgoing flow count:")+" ";o(t,i,e,{width:h.w,height:h.h,margin:{t:h.t,r:h.r,b:h.b,l:h.l}},{linkEvents:{hover:function(e,r,i){!1!==t._fullLayout.hovermode&&(n.select(e).call(x.bind(0,r,i,!0)),"skip"!==r.link.trace.link.hoverinfo&&(r.link.fullData=r.link.trace,t.emit("plotly_hover",{event:n.event,points:[r.link]})))},follow:function(e,i){if(!1!==t._fullLayout.hovermode){var o=i.link.trace.link;if("none"!==o.hoverinfo&&"skip"!==o.hoverinfo){for(var c=[],u=0,h=0;h<i.flow.links.length;h++){var m=i.flow.links[h];if("closest"!==t._fullLayout.hovermode||i.link.pointNumber===m.pointNumber){i.link.pointNumber===m.pointNumber&&(u=h),m.fullData=m.trace,o=i.link.trace.link;var g=y(m),v={valueLabel:a(i.valueFormat)(m.value)+i.valueSuffix};c.push({x:g[0],y:g[1],name:v.valueLabel,text:[m.label||"",w+m.source.label,T+m.target.label,m.concentrationscale?k+a("%0.2f")(m.flow.labelConcentration):""].filter(f).join("<br>"),color:_(o,"bgcolor")||l.addOpacity(m.color,1),borderColor:_(o,"bordercolor"),fontFamily:_(o,"font.family"),fontSize:_(o,"font.size"),fontColor:_(o,"font.color"),nameLength:_(o,"namelength"),textAlign:_(o,"align"),idealAlign:n.event.x<g[0]?"right":"left",hovertemplate:o.hovertemplate,hovertemplateLabels:v,eventData:[m]})}}s.loneHover(c,{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t,anchorIndex:u}).each((function(){i.link.concentrationscale||p(this,.65),d(this)}))}}function y(t){var e,r;t.circular?(e=(t.circularPathData.leftInnerExtent+t.circularPathData.rightInnerExtent)/2,r=t.circularPathData.verticalFullExtent):(e=(t.source.x1+t.target.x0)/2,r=(t.y0+t.y1)/2);var n=[e,r];return"v"===t.trace.orientation&&n.reverse(),n[0]+=i.parent.translateX,n[1]+=i.parent.translateY,n}},unhover:function(e,i,a){!1!==t._fullLayout.hovermode&&(n.select(e).call(b.bind(0,i,a,!0)),"skip"!==i.link.trace.link.hoverinfo&&(i.link.fullData=i.link.trace,t.emit("plotly_unhover",{event:n.event,points:[i.link]})),s.loneUnhover(r._hoverlayer.node()))},select:function(e,r){var i=r.link;i.originalEvent=n.event,t._hoverdata=[i],s.click(t,{target:!0})}},nodeEvents:{hover:function(e,r,i){!1!==t._fullLayout.hovermode&&(n.select(e).call(v,r,i),"skip"!==r.node.trace.node.hoverinfo&&(r.node.fullData=r.node.trace,t.emit("plotly_hover",{event:n.event,points:[r.node]})))},follow:function(e,i){if(!1!==t._fullLayout.hovermode){var o=i.node.trace.node;if("none"!==o.hoverinfo&&"skip"!==o.hoverinfo){var l=n.select(e).select("."+c.nodeRect),u=t._fullLayout._paperdiv.node().getBoundingClientRect(),h=l.node().getBoundingClientRect(),m=h.left-2-u.left,g=h.right+2-u.left,v=h.top+h.height/4-u.top,y={valueLabel:a(i.valueFormat)(i.node.value)+i.valueSuffix};i.node.fullData=i.node.trace,t._fullLayout._calcInverseTransform(t);var x=t._fullLayout._invScaleX,b=t._fullLayout._invScaleY,w=s.loneHover({x0:x*m,x1:x*g,y:b*v,name:a(i.valueFormat)(i.node.value)+i.valueSuffix,text:[i.node.label,A+i.node.targetLinks.length,M+i.node.sourceLinks.length].filter(f).join("<br>"),color:_(o,"bgcolor")||i.tinyColorHue,borderColor:_(o,"bordercolor"),fontFamily:_(o,"font.family"),fontSize:_(o,"font.size"),fontColor:_(o,"font.color"),nameLength:_(o,"namelength"),textAlign:_(o,"align"),idealAlign:"left",hovertemplate:o.hovertemplate,hovertemplateLabels:y,eventData:[i.node]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t});p(w,.85),d(w)}}},unhover:function(e,i,a){!1!==t._fullLayout.hovermode&&(n.select(e).call(y,i,a),"skip"!==i.node.trace.node.hoverinfo&&(i.node.fullData=i.node.trace,t.emit("plotly_unhover",{event:n.event,points:[i.node]})),s.loneUnhover(r._hoverlayer.node()))},select:function(e,r,i){var a=r.node;a.originalEvent=n.event,t._hoverdata=[a],n.select(e).call(y,r,i),s.click(t,{target:!0})}}})}},{"../../components/color":361,"../../components/fx":401,"../../lib":498,"./constants":915,"./render":919,"@plotly/d3":58}],919:[function(t,e,r){"use strict";var n=t("d3-force"),i=t("d3-interpolate").interpolateNumber,a=t("@plotly/d3"),o=t("@plotly/d3-sankey"),s=t("@plotly/d3-sankey-circular"),l=t("./constants"),c=t("tinycolor2"),u=t("../../components/color"),f=t("../../components/drawing"),h=t("../../lib"),p=h.strTranslate,d=h.strRotate,m=t("../../lib/gup"),g=m.keyFun,v=m.repeat,y=m.unwrap,x=t("../../lib/svg_text_utils"),b=t("../../registry"),_=t("../../constants/alignment"),w=_.CAP_SHIFT,T=_.LINE_SPACING;function k(t,e,r){var n,i=y(e),a=i.trace,u=a.domain,f="h"===a.orientation,p=a.node.pad,d=a.node.thickness,m=t.width*(u.x[1]-u.x[0]),g=t.height*(u.y[1]-u.y[0]),v=i._nodes,x=i._links,b=i.circular;(n=b?s.sankeyCircular().circularLinkGap(0):o.sankey()).iterations(l.sankeyIterations).size(f?[m,g]:[g,m]).nodeWidth(d).nodePadding(p).nodeId((function(t){return t.pointNumber})).nodes(v).links(x);var _,w,T,k=n();for(var A in n.nodePadding()<p&&h.warn("node.pad was reduced to ",n.nodePadding()," to fit within the figure."),i._groupLookup){var M,S=parseInt(i._groupLookup[A]);for(_=0;_<k.nodes.length;_++)if(k.nodes[_].pointNumber===S){M=k.nodes[_];break}if(M){var E={pointNumber:parseInt(A),x0:M.x0,x1:M.x1,y0:M.y0,y1:M.y1,partOfGroup:!0,sourceLinks:[],targetLinks:[]};k.nodes.unshift(E),M.childrenNodes.unshift(E)}}if(function(){for(_=0;_<k.nodes.length;_++){var t,e,r=k.nodes[_],n={};for(w=0;w<r.targetLinks.length;w++)t=(e=r.targetLinks[w]).source.pointNumber+":"+e.target.pointNumber,n.hasOwnProperty(t)||(n[t]=[]),n[t].push(e);var i=Object.keys(n);for(w=0;w<i.length;w++){var a=n[t=i[w]],o=0,s={};for(T=0;T<a.length;T++)s[(e=a[T]).label]||(s[e.label]=0),s[e.label]+=e.value,o+=e.value;for(T=0;T<a.length;T++)(e=a[T]).flow={value:o,labelConcentration:s[e.label]/o,concentration:e.value/o,links:a},e.concentrationscale&&(e.color=c(e.concentrationscale(e.flow.labelConcentration)))}var l=0;for(w=0;w<r.sourceLinks.length;w++)l+=r.sourceLinks[w].value;for(w=0;w<r.sourceLinks.length;w++)(e=r.sourceLinks[w]).concentrationOut=e.value/l;var u=0;for(w=0;w<r.targetLinks.length;w++)u+=r.targetLinks[w].value;for(w=0;w<r.targetLinks.length;w++)(e=r.targetLinks[w]).concenrationIn=e.value/u}}(),a.node.x.length&&a.node.y.length){for(_=0;_<Math.min(a.node.x.length,a.node.y.length,k.nodes.length);_++)if(a.node.x[_]&&a.node.y[_]){var L=[a.node.x[_]*m,a.node.y[_]*g];k.nodes[_].x0=L[0]-d/2,k.nodes[_].x1=L[0]+d/2;var C=k.nodes[_].y1-k.nodes[_].y0;k.nodes[_].y0=L[1]-C/2,k.nodes[_].y1=L[1]+C/2}if("snap"===a.arrangement)!function(t){t.forEach((function(t){var e,r,n,i=0,a=t.length;for(t.sort((function(t,e){return t.y0-e.y0})),n=0;n<a;++n)(e=t[n]).y0>=i||(r=i-e.y0)>1e-6&&(e.y0+=r,e.y1+=r),i=e.y1+p}))}(function(t){var e,r,n=t.map((function(t,e){return{x0:t.x0,index:e}})).sort((function(t,e){return t.x0-e.x0})),i=[],a=-1,o=-1/0;for(_=0;_<n.length;_++){var s=t[n[_].index];s.x0>o+d&&(a+=1,e=s.x0),o=s.x0,i[a]||(i[a]=[]),i[a].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return i}(v=k.nodes));n.update(k)}return{circular:b,key:r,trace:a,guid:h.randstr(),horizontal:f,width:m,height:g,nodePad:a.node.pad,nodeLineColor:a.node.line.color,nodeLineWidth:a.node.line.width,linkLineColor:a.link.line.color,linkLineWidth:a.link.line.width,valueFormat:a.valueformat,valueSuffix:a.valuesuffix,textFont:a.textfont,translateX:u.x[0]*t.width+t.margin.l,translateY:t.height-u.y[1]*t.height+t.margin.t,dragParallel:f?g:m,dragPerpendicular:f?m:g,arrangement:a.arrangement,sankey:n,graph:k,forceLayouts:{},interactionState:{dragInProgress:!1,hovered:!1}}}function A(t,e,r){var n=c(e.color),i=e.source.label+"|"+e.target.label+"__"+r;return e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:i,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:u.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkPath:M,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function M(){return function(t){if(t.link.circular)return e=t.link,r=e.width/2,n=e.circularPathData,"top"===e.circularLinkType?"M "+n.targetX+" "+(n.targetY+r)+" L"+n.rightInnerExtent+" "+(n.targetY+r)+"A"+(n.rightLargeArcRadius+r)+" "+(n.rightSmallArcRadius+r)+" 0 0 1 "+(n.rightFullExtent-r)+" "+(n.targetY-n.rightSmallArcRadius)+"L"+(n.rightFullExtent-r)+" "+n.verticalRightInnerExtent+"A"+(n.rightLargeArcRadius+r)+" "+(n.rightLargeArcRadius+r)+" 0 0 1 "+n.rightInnerExtent+" "+(n.verticalFullExtent-r)+"L"+n.leftInnerExtent+" "+(n.verticalFullExtent-r)+"A"+(n.leftLargeArcRadius+r)+" "+(n.leftLargeArcRadius+r)+" 0 0 1 "+(n.leftFullExtent+r)+" "+n.verticalLeftInnerExtent+"L"+(n.leftFullExtent+r)+" "+(n.sourceY-n.leftSmallArcRadius)+"A"+(n.leftLargeArcRadius+r)+" "+(n.leftSmallArcRadius+r)+" 0 0 1 "+n.leftInnerExtent+" "+(n.sourceY+r)+"L"+n.sourceX+" "+(n.sourceY+r)+"L"+n.sourceX+" "+(n.sourceY-r)+"L"+n.leftInnerExtent+" "+(n.sourceY-r)+"A"+(n.leftLargeArcRadius-r)+" "+(n.leftSmallArcRadius-r)+" 0 0 0 "+(n.leftFullExtent-r)+" "+(n.sourceY-n.leftSmallArcRadius)+"L"+(n.leftFullExtent-r)+" "+n.verticalLeftInnerExtent+"A"+(n.leftLargeArcRadius-r)+" "+(n.leftLargeArcRadius-r)+" 0 0 0 "+n.leftInnerExtent+" "+(n.verticalFullExtent+r)+"L"+n.rightInnerExtent+" "+(n.verticalFullExtent+r)+"A"+(n.rightLargeArcRadius-r)+" "+(n.rightLargeArcRadius-r)+" 0 0 0 "+(n.rightFullExtent+r)+" "+n.verticalRightInnerExtent+"L"+(n.rightFullExtent+r)+" "+(n.targetY-n.rightSmallArcRadius)+"A"+(n.rightLargeArcRadius-r)+" "+(n.rightSmallArcRadius-r)+" 0 0 0 "+n.rightInnerExtent+" "+(n.targetY-r)+"L"+n.targetX+" 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e.group&&(s=h.randstr()),e.trace=t.trace,e.curveNumber=t.trace.index,{index:e.pointNumber,key:s,partOfGroup:e.partOfGroup||!1,group:e.group,traceId:t.key,trace:t.trace,node:e,nodePad:t.nodePad,nodeLineColor:t.nodeLineColor,nodeLineWidth:t.nodeLineWidth,textFont:t.textFont,size:t.horizontal?t.height:t.width,visibleWidth:Math.ceil(a),visibleHeight:o,zoneX:-n,zoneY:-i,zoneWidth:a+2*n,zoneHeight:o+2*i,labelY:t.horizontal?e.dy/2+1:e.dx/2+1,left:1===e.originalLayer,sizeAcross:t.width,forceLayouts:t.forceLayouts,horizontal:t.horizontal,darkBackground:r.getBrightness()<=128,tinyColorHue:u.tinyRGB(r),tinyColorAlpha:r.getAlpha(),valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,graph:t.graph,arrangement:t.arrangement,uniqueNodeLabelPathId:[t.guid,t.key,s].join("_"),interactionState:t.interactionState,figure:t}}function E(t){t.attr("transform",(function(t){return p(t.node.x0.toFixed(3),t.node.y0.toFixed(3))}))}function L(t){t.call(E)}function 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y={padded:!0},x={padded:!0};s&&(y.ppad=x.ppad=s);var b=c<2||i[0]!==i[c-1]||o[0]!==o[c-1];b&&("tozerox"===v||"tonextx"===v&&(p||"h"===d))?y.tozero=!0:(e.error_y||{}).visible||"tonexty"!==v&&"tozeroy"!==v&&(l.hasMarkers(e)||l.hasText(e))||(y.padded=!1,y.ppad=0),b&&("tozeroy"===v||"tonexty"===v&&(p||"v"===d))?x.tozero=!0:"tonextx"!==v&&"tozerox"!==v||(x.padded=!1),f&&(e._extremes[f]=a.findExtremes(r,i,y)),h&&(e._extremes[h]=a.findExtremes(n,o,x))}function p(t,e){if(l.hasMarkers(t)){var r,n=t.marker,o=1.6*(t.marker.sizeref||1);if(r="area"===t.marker.sizemode?function(t){return Math.max(Math.sqrt((t||0)/o),3)}:function(t){return Math.max((t||0)/o,3)},i.isArrayOrTypedArray(n.size)){var s={type:"linear"};a.setConvert(s);for(var c=s.makeCalcdata(t.marker,"size"),u=new Array(e),f=0;f<e;f++)u[f]=r(c[f]);return u}return r(n.size)}}function d(t,e){var r=m(e),n=t._firstScatter;n[r]||(n[r]=e.uid)}function m(t){var e=t.stackgroup;return t.xaxis+t.yaxis+t.type+(e?"-"+e:"")}function g(t,e,r,n){var 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n=t("../../registry"),i=t("../../lib"),a=t("../scatter/subtypes"),o=t("../scatter/marker_defaults"),s=t("../scatter/line_defaults"),l=t("../scatter/text_defaults"),c=t("./attributes");e.exports=function(t,e,r,u){function f(r,n){return i.coerce(t,e,c,r,n)}if(function(t,e,r,i){var a=0,o=r("x"),s=r("y"),l=r("z");n.getComponentMethod("calendars","handleTraceDefaults")(t,e,["x","y","z"],i),o&&s&&l&&(a=Math.min(o.length,s.length,l.length),e._length=e._xlength=e._ylength=e._zlength=a);return a}(t,e,f,u)){f("text"),f("hovertext"),f("hovertemplate"),f("xhoverformat"),f("yhoverformat"),f("zhoverformat"),f("mode"),a.hasLines(e)&&(f("connectgaps"),s(t,e,r,u,f)),a.hasMarkers(e)&&o(t,e,r,u,f,{noSelect:!0}),a.hasText(e)&&(f("texttemplate"),l(t,e,u,f,{noSelect:!0}));var h=(e.line||{}).color,p=(e.marker||{}).color;f("surfaceaxis")>=0&&f("surfacecolor",h||p);for(var d=["x","y","z"],m=0;m<3;++m){var g="projection."+d[m];f(g+".show")&&(f(g+".opacity"),f(g+".scale"))}var 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n=t("../../lib"),i=t("../scatter/constants"),a=t("../scatter/subtypes"),o=t("../scatter/marker_defaults"),s=t("../scatter/line_defaults"),l=t("../scatter/line_shape_defaults"),c=t("../scatter/text_defaults"),u=t("../scatter/fillcolor_defaults"),f=t("./attributes");e.exports=function(t,e,r,h){function p(r,i){return n.coerce(t,e,f,r,i)}p("carpet"),e.xaxis="x",e.yaxis="y";var d=p("a"),m=p("b"),g=Math.min(d.length,m.length);if(g){e._length=g,p("text"),p("texttemplate"),p("hovertext"),p("mode",g<i.PTS_LINESONLY?"lines+markers":"lines"),a.hasLines(e)&&(s(t,e,r,h,p),l(t,e,p),p("connectgaps")),a.hasMarkers(e)&&o(t,e,r,h,p,{gradient:!0}),a.hasText(e)&&c(t,e,h,p);var v=[];(a.hasMarkers(e)||a.hasText(e))&&(p("marker.maxdisplayed"),v.push("points")),p("fill"),"none"!==e.fill&&(u(t,e,r,p),a.hasLines(e)||l(t,e,p)),"tonext"!==e.fill&&"toself"!==e.fill||v.push("fills"),"fills"!==p("hoveron",v.join("+")||"points")&&p("hovertemplate"),n.coerceSelectionMarkerOpacity(e,p)}else 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0;var p=s.trace,d=p._carpet,m=p._module.formatLabels(h,p);s.yLabel=m.yLabel,delete s.text;var g=[];if(!p.hovertemplate){var v=(h.hi||p.hoverinfo).split("+");-1!==v.indexOf("all")&&(v=["a","b","text"]),-1!==v.indexOf("a")&&y(d.aaxis,h.a),-1!==v.indexOf("b")&&y(d.baxis,h.b),g.push("y: "+s.yLabel),-1!==v.indexOf("text")&&i(h,p,g),s.extraText=g.join("<br>")}return o}function y(t,e){var r;r=t.labelprefix&&t.labelprefix.length>0?t.labelprefix.replace(/ = $/,""):t._hovertitle,g.push(r+": "+e.toFixed(3)+t.labelsuffix)}}},{"../../lib":498,"../scatter/hover":933}],962:[function(t,e,r){"use 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s,l,c,u=r[0][0].carpet,f={xaxis:i.getFromId(t,u.xaxis||"x"),yaxis:i.getFromId(t,u.yaxis||"y"),plot:e.plot};for(n(t,f,r,o),s=0;s<r.length;s++)l=r[s][0].trace,c=o.selectAll("g.trace"+l.uid+" .js-line"),a.setClipUrl(c,r[s][0].carpet._clipPathId,t)}},{"../../components/drawing":383,"../../plots/cartesian/axes":549,"../scatter/plot":943}],964:[function(t,e,r){"use strict";var n=t("../../plots/template_attributes").hovertemplateAttrs,i=t("../../plots/template_attributes").texttemplateAttrs,a=t("../scatter/attributes"),o=t("../../plots/attributes"),s=t("../../components/colorscale/attributes"),l=t("../../components/drawing/attributes").dash,c=t("../../lib/extend").extendFlat,u=t("../../plot_api/edit_types").overrideAll,f=a.marker,h=a.line,p=f.line;e.exports=u({lon:{valType:"data_array"},lat:{valType:"data_array"},locations:{valType:"data_array"},locationmode:{valType:"enumerated",values:["ISO-3","USA-states","country 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n;if(f.hasText(e)&&(n.text=y(t,e),n.textSel=_(t,e,e.selected),n.textUnsel=_(t,e,e.unselected)),f.hasMarkers(e)&&(n.marker=x(e),n.markerSel=b(e,e.selected),n.markerUnsel=b(e,e.unselected),!e.unselected&&s.isArrayOrTypedArray(e.marker.opacity))){var a=e.marker.opacity;for(n.markerUnsel.opacity=new Array(a.length),r=0;r<a.length;r++)n.markerUnsel.opacity[r]=m*a[r]}if(f.hasLines(e)){n.line={overlay:!0,thickness:e.line.width*i,color:e.line.color,opacity:e.opacity};var o=(d.DASHES[e.line.dash]||[1]).slice();for(r=0;r<o.length;++r)o[r]*=e.line.width*i;n.line.dashes=o}return e.error_x&&e.error_x.visible&&(n.errorX=w(e,e.error_x,i)),e.error_y&&e.error_y.visible&&(n.errorY=w(e,e.error_y,i)),e.fill&&"none"!==e.fill&&(n.fill={closed:!0,fill:e.fillcolor,thickness:0}),n},markerStyle:x,markerSelection:b,linePositions:function(t,e,r){var n,i,a=r.length,o=a/2;if(f.hasLines(e)&&o)if("hv"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i+2],r[2*i+1]));n.push(r[a-2],r[a-1])}else if("hvh"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var s=(r[2*i]+r[2*i+2])/2;n.push(r[2*i],r[2*i+1],s,r[2*i+1],s,r[2*i+3])}n.push(r[a-2],r[a-1])}else if("vhv"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var l=(r[2*i+1]+r[2*i+3])/2;n.push(r[2*i],r[2*i+1],r[2*i],l,r[2*i+2],l)}n.push(r[a-2],r[a-1])}else if("vh"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+3]));n.push(r[a-2],r[a-1])}else n=r;var c=!1;for(i=0;i<n.length;i++)if(isNaN(n[i])){c=!0;break}var u=c||n.length>d.TOO_MANY_POINTS||f.hasMarkers(e)?"rect":"round";if(c&&e.connectgaps){var h=n[0],p=n[1];for(i=0;i<n.length;i+=2)isNaN(n[i])||isNaN(n[i+1])?(n[i]=h,n[i+1]=p):(h=n[i],p=n[i+1])}return{join:u,positions:n}},errorBarPositions:function(t,e,r,i,a){var s=o.getComponentMethod("errorbars","makeComputeError"),l=c.getFromId(t,e.xaxis),u=c.getFromId(t,e.yaxis),f=r.length/2,h={};function p(t,i){var a=i._id.charAt(0),o=e["error_"+a];if(o&&o.visible&&("linear"===i.type||"log"===i.type)){for(var l=s(o),c={x:0,y:1}[a],u={x:[0,1,2,3],y:[2,3,0,1]}[a],p=new Float64Array(4*f),d=1/0,m=-1/0,g=0,v=0;g<f;g++,v+=4){var y=t[g];if(n(y)){var x=r[2*g+c],b=l(y,g),_=b[0],w=b[1];if(n(_)&&n(w)){var T=y-_,k=y+w;p[v+u[0]]=x-i.c2l(T),p[v+u[1]]=i.c2l(k)-x,p[v+u[2]]=0,p[v+u[3]]=0,d=Math.min(d,y-_),m=Math.max(m,y+w)}}}h[a]={positions:r,errors:p,_bnds:[d,m]}}}return p(i,l),p(a,u),h},textPosition:function(t,e,r,n){var i,a=e._length,o={};if(f.hasMarkers(e)){var s=r.font,l=r.align,c=r.baseline;for(o.offset=new Array(a),i=0;i<a;i++){var u=n.sizes?n.sizes[i]:n.size,h=Array.isArray(s)?s[i].size:s.size,p=Array.isArray(l)?l.length>1?l[i]:l[0]:l,d=Array.isArray(c)?c.length>1?c[i]:c[0]:c,m=g[p],v=g[d],y=u?u/.8+1:0,x=-v*y-.5*v;o.offset[i]=[m*y/h,x/h]}}return o}}},{"../../components/drawing":383,"../../components/fx/helpers":397,"../../constants/interactions":473,"../../lib":498,"../../lib/gl_format_color":494,"../../plots/cartesian/axis_ids":553,"../../registry":633,"../scatter/make_bubble_size_func":939,"../scatter/subtypes":947,"./constants":977,"./helpers":982,"color-normalize":84,"fast-isnumeric":185,"svg-path-sdf":305}],979:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../registry"),a=t("./helpers"),o=t("./attributes"),s=t("../scatter/constants"),l=t("../scatter/subtypes"),c=t("../scatter/xy_defaults"),u=t("../scatter/period_defaults"),f=t("../scatter/marker_defaults"),h=t("../scatter/line_defaults"),p=t("../scatter/fillcolor_defaults"),d=t("../scatter/text_defaults");e.exports=function(t,e,r,m){function g(r,i){return n.coerce(t,e,o,r,i)}var v=!!t.marker&&a.isOpenSymbol(t.marker.symbol),y=l.isBubble(t),x=c(t,e,m,g);if(x){u(t,e,m,g),g("xhoverformat"),g("yhoverformat");var b=x<s.PTS_LINESONLY?"lines+markers":"lines";g("text"),g("hovertext"),g("hovertemplate"),g("mode",b),l.hasLines(e)&&(g("connectgaps"),h(t,e,r,m,g),g("line.shape")),l.hasMarkers(e)&&(f(t,e,r,m,g),g("marker.line.width",v||y?1:0)),l.hasText(e)&&(g("texttemplate"),d(t,e,m,g));var _=(e.line||{}).color,w=(e.marker||{}).color;g("fill"),"none"!==e.fill&&p(t,e,r,g);var T=i.getComponentMethod("errorbars","supplyDefaults");T(t,e,_||w||r,{axis:"y"}),T(t,e,_||w||r,{axis:"x",inherit:"y"}),n.coerceSelectionMarkerOpacity(e,g)}else e.visible=!1}},{"../../lib":498,"../../registry":633,"../scatter/constants":926,"../scatter/fillcolor_defaults":930,"../scatter/line_defaults":935,"../scatter/marker_defaults":941,"../scatter/period_defaults":942,"../scatter/subtypes":947,"../scatter/text_defaults":948,"../scatter/xy_defaults":949,"./attributes":974,"./helpers":982}],980:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../components/color"),a=t("../../constants/interactions").DESELECTDIM;e.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,c=l._scene,u=l.index,f=c.selectBatch[u],h=c.unselectBatch[u],p=c.textOptions[u],d=c.textSelectedOptions[u]||{},m=c.textUnselectedOptions[u]||{},g=n.extendFlat({},p);if(f.length||h.length){var v=d.color,y=m.color,x=p.color,b=Array.isArray(x);for(g.color=new Array(s._length),e=0;e<f.length;e++)r=f[e],g.color[r]=v||(b?x[r]:x);for(e=0;e<h.length;e++){r=h[e];var _=b?x[r]:x;g.color[r]=y||(v?_:i.addOpacity(_,a))}}c.glText[u].update(g)}}},{"../../components/color":361,"../../constants/interactions":473,"../../lib":498}],981:[function(t,e,r){"use strict";var n=t("../scatter/format_labels");e.exports=function(t,e,r){var i=t.i;return"x"in t||(t.x=e._x[i]),"y"in t||(t.y=e._y[i]),n(t,e,r)}},{"../scatter/format_labels":931}],982:[function(t,e,r){"use strict";var n=t("./constants");r.isOpenSymbol=function(t){return"string"==typeof t?n.OPEN_RE.test(t):t%200>100},r.isDotSymbol=function(t){return"string"==typeof t?n.DOT_RE.test(t):t>200}},{"./constants":977}],983:[function(t,e,r){"use strict";var n=t("../../registry"),i=t("../../lib"),a=t("../scatter/get_trace_color");function o(t,e,r,o){var s=t.xa,l=t.ya,c=t.distance,u=t.dxy,f=t.index,h={pointNumber:f,x:e[f],y:r[f]};h.tx=Array.isArray(o.text)?o.text[f]:o.text,h.htx=Array.isArray(o.hovertext)?o.hovertext[f]:o.hovertext,h.data=Array.isArray(o.customdata)?o.customdata[f]:o.customdata,h.tp=Array.isArray(o.textposition)?o.textposition[f]:o.textposition;var p=o.textfont;p&&(h.ts=i.isArrayOrTypedArray(p.size)?p.size[f]:p.size,h.tc=Array.isArray(p.color)?p.color[f]:p.color,h.tf=Array.isArray(p.family)?p.family[f]:p.family);var d=o.marker;d&&(h.ms=i.isArrayOrTypedArray(d.size)?d.size[f]:d.size,h.mo=i.isArrayOrTypedArray(d.opacity)?d.opacity[f]:d.opacity,h.mx=i.isArrayOrTypedArray(d.symbol)?d.symbol[f]:d.symbol,h.mc=i.isArrayOrTypedArray(d.color)?d.color[f]:d.color);var m=d&&d.line;m&&(h.mlc=Array.isArray(m.color)?m.color[f]:m.color,h.mlw=i.isArrayOrTypedArray(m.width)?m.width[f]:m.width);var g=d&&d.gradient;g&&"none"!==g.type&&(h.mgt=Array.isArray(g.type)?g.type[f]:g.type,h.mgc=Array.isArray(g.color)?g.color[f]:g.color);var v=s.c2p(h.x,!0),y=l.c2p(h.y,!0),x=h.mrc||1,b=o.hoverlabel;b&&(h.hbg=Array.isArray(b.bgcolor)?b.bgcolor[f]:b.bgcolor,h.hbc=Array.isArray(b.bordercolor)?b.bordercolor[f]:b.bordercolor,h.hts=i.isArrayOrTypedArray(b.font.size)?b.font.size[f]:b.font.size,h.htc=Array.isArray(b.font.color)?b.font.color[f]:b.font.color,h.htf=Array.isArray(b.font.family)?b.font.family[f]:b.font.family,h.hnl=i.isArrayOrTypedArray(b.namelength)?b.namelength[f]:b.namelength);var _=o.hoverinfo;_&&(h.hi=Array.isArray(_)?_[f]:_);var w=o.hovertemplate;w&&(h.ht=Array.isArray(w)?w[f]:w);var T={};T[t.index]=h;var k=o._origX,A=o._origY,M=i.extendFlat({},t,{color:a(o,h),x0:v-x,x1:v+x,xLabelVal:k?k[f]:h.x,y0:y-x,y1:y+x,yLabelVal:A?A[f]:h.y,cd:T,distance:c,spikeDistance:u,hovertemplate:h.ht});return h.htx?M.text=h.htx:h.tx?M.text=h.tx:o.text&&(M.text=o.text),i.fillText(h,o,M),n.getComponentMethod("errorbars","hoverInfo")(h,o,M),M}e.exports={hoverPoints:function(t,e,r,n){var i,a,s,l,c,u,f,h,p,d,m=t.cd,g=m[0].t,v=m[0].trace,y=t.xa,x=t.ya,b=g.x,_=g.y,w=y.c2p(e),T=x.c2p(r),k=t.distance;if(g.tree){var A=y.p2c(w-k),M=y.p2c(w+k),S=x.p2c(T-k),E=x.p2c(T+k);i="x"===n?g.tree.range(Math.min(A,M),Math.min(x._rl[0],x._rl[1]),Math.max(A,M),Math.max(x._rl[0],x._rl[1])):g.tree.range(Math.min(A,M),Math.min(S,E),Math.max(A,M),Math.max(S,E))}else i=g.ids;var L=k;if("x"===n){var C=!!v.xperiodalignment,P=!!v.yperiodalignment;for(u=0;u<i.length;u++){if(l=b[a=i[u]],f=Math.abs(y.c2p(l)-w),C){var I=y.c2p(v._xStarts[a]),O=y.c2p(v._xEnds[a]);f=w>=Math.min(I,O)&&w<=Math.max(I,O)?0:1/0}if(f<L){if(L=f,c=_[a],h=x.c2p(c)-T,P){var z=x.c2p(v._yStarts[a]),D=x.c2p(v._yEnds[a]);h=T>=Math.min(z,D)&&T<=Math.max(z,D)?0:1/0}d=Math.sqrt(f*f+h*h),s=i[u]}}}else for(u=i.length-1;u>-1;u--)l=b[a=i[u]],c=_[a],f=y.c2p(l)-w,h=x.c2p(c)-T,(p=Math.sqrt(f*f+h*h))<L&&(L=d=p,s=a);return t.index=s,t.distance=L,t.dxy=d,void 0===s?[t]:[o(t,b,_,v)]},calcHover:o}},{"../../lib":498,"../../registry":633,"../scatter/get_trace_color":932}],984:[function(t,e,r){arguments[4][891][0].apply(r,arguments)},{"./base_index":975,"./plot":985,dup:891}],985:[function(t,e,r){"use strict";var n=t("regl-scatter2d"),i=t("regl-line2d"),a=t("regl-error2d"),o=t("gl-text"),s=t("../../lib"),l=t("../../components/dragelement/helpers").selectMode,c=t("../../lib/prepare_regl"),u=t("../scatter/subtypes"),f=t("../scatter/link_traces"),h=t("./edit_style").styleTextSelection,p={};function d(t,e,r,n){var i=t._size,a=t.width*n,o=t.height*n,s=i.l*n,l=i.b*n,c=i.r*n,u=i.t*n,f=i.w*n,h=i.h*n;return[s+e.domain[0]*f,l+r.domain[0]*h,a-c-(1-e.domain[1])*f,o-u-(1-r.domain[1])*h]}(e.exports=function(t,e,r){if(r.length){var m,g,v=t._fullLayout,y=e._scene,x=e.xaxis,b=e.yaxis;if(y)if(c(t,["ANGLE_instanced_arrays","OES_element_index_uint"],p)){var _=y.count,w=v._glcanvas.data()[0].regl;if(f(t,e,r),y.dirty){if(!0===y.error2d&&(y.error2d=a(w)),!0===y.line2d&&(y.line2d=i(w)),!0===y.scatter2d&&(y.scatter2d=n(w)),!0===y.fill2d&&(y.fill2d=i(w)),!0===y.glText)for(y.glText=new Array(_),m=0;m<_;m++)y.glText[m]=new o(w);if(y.glText){if(_>y.glText.length){var T=_-y.glText.length;for(m=0;m<T;m++)y.glText.push(new o(w))}else if(_<y.glText.length){var k=y.glText.length-_;y.glText.splice(_,k).forEach((function(t){t.destroy()}))}for(m=0;m<_;m++)y.glText[m].update(y.textOptions[m])}if(y.line2d&&(y.line2d.update(y.lineOptions),y.lineOptions=y.lineOptions.map((function(t){if(t&&t.positions){for(var e=t.positions,r=0;r<e.length&&(isNaN(e[r])||isNaN(e[r+1]));)r+=2;for(var n=e.length-2;n>r&&(isNaN(e[n])||isNaN(e[n+1]));)n-=2;t.positions=e.slice(r,n+2)}return t})),y.line2d.update(y.lineOptions)),y.error2d){var A=(y.errorXOptions||[]).concat(y.errorYOptions||[]);y.error2d.update(A)}y.scatter2d&&y.scatter2d.update(y.markerOptions),y.fillOrder=s.repeat(null,_),y.fill2d&&(y.fillOptions=y.fillOptions.map((function(t,e){var n=r[e];if(t&&n&&n[0]&&n[0].trace){var i,a,o=n[0],s=o.trace,l=o.t,c=y.lineOptions[e],u=[];s._ownfill&&u.push(e),s._nexttrace&&u.push(e+1),u.length&&(y.fillOrder[e]=u);var f,h,p=[],d=c&&c.positions||l.positions;if("tozeroy"===s.fill){for(f=0;f<d.length&&isNaN(d[f+1]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h+1]);)h-=2;0!==d[f+1]&&(p=[d[f],0]),p=p.concat(d.slice(f,h+2)),0!==d[h+1]&&(p=p.concat([d[h],0]))}else if("tozerox"===s.fill){for(f=0;f<d.length&&isNaN(d[f]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h]);)h-=2;0!==d[f]&&(p=[0,d[f+1]]),p=p.concat(d.slice(f,h+2)),0!==d[h]&&(p=p.concat([0,d[h+1]]))}else 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B=i.extendFlat({},g,m.unselectedOptions,w),N=i.extendFlat({},g,m.selectedOptions,w);m.matrix.update(B,N),P=!1}}else d.xpx=d.ypx=null;if(P){var j=i.extendFlat({},g,w);m.matrix.update(j,null)}}}e.exports=function(t,e,r){if(r.length)for(var n=0;n<r.length;n++)s(t,r[n][0])}},{"../../components/dragelement/helpers":379,"../../lib":498,"../../plots/cartesian/axis_ids":553,"regl-splom":277}],1037:[function(t,e,r){"use strict";var n=t("../../lib");e.exports=function(t,e){var r=t._fullLayout,i=e.uid,a=r._splomScenes;a||(a=r._splomScenes={});var o={dirty:!0,selectBatch:[],unselectBatch:[]},s=a[e.uid];return 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T=l.matrixOptions;return b.length||_.length?l.selectBatch.length||l.unselectBatch.length||l.matrix.update(l.unselectedOptions,n.extendFlat({},T,l.selectedOptions,l.viewOpts)):l.matrix.update(T,null),l.selectBatch=b,l.unselectBatch=_,h}},{"../../lib":498,"../scatter/subtypes":947,"./helpers":1033}],1039:[function(t,e,r){"use strict";var n=t("../../components/colorscale/attributes"),i=t("../../plots/cartesian/axis_format_attributes").axisHoverFormat,a=t("../../plots/template_attributes").hovertemplateAttrs,o=t("../mesh3d/attributes"),s=t("../../plots/attributes"),l=t("../../lib/extend").extendFlat,c={x:{valType:"data_array",editType:"calc+clearAxisTypes"},y:{valType:"data_array",editType:"calc+clearAxisTypes"},z:{valType:"data_array",editType:"calc+clearAxisTypes"},u:{valType:"data_array",editType:"calc"},v:{valType:"data_array",editType:"calc"},w:{valType:"data_array",editType:"calc"},starts:{x:{valType:"data_array",editType:"calc"},y:{valType:"data_array",editType:"calc"},z:{valType:"data_array",editType:"calc"},editType:"calc"},maxdisplayed:{valType:"integer",min:0,dflt:1e3,editType:"calc"},sizeref:{valType:"number",editType:"calc",min:0,dflt:1},text:{valType:"string",dflt:"",editType:"calc"},hovertext:{valType:"string",dflt:"",editType:"calc"},hovertemplate:a({editType:"calc"},{keys:["tubex","tubey","tubez","tubeu","tubev","tubew","norm","divergence"]}),uhoverformat:i("u",1),vhoverformat:i("v",1),whoverformat:i("w",1),xhoverformat:i("x"),yhoverformat:i("y"),zhoverformat:i("z"),showlegend:l({},s.showlegend,{dflt:!1})};l(c,n("",{colorAttr:"u/v/w 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e,r,i,a,s,l,c,u,f,h,p,d,m=t._x,g=t._y,v=t._z,y=t._len,x=-1/0,b=1/0,_=-1/0,w=1/0,T=-1/0,k=1/0,A="";for(y&&(c=m[0],f=g[0],p=v[0]),y>1&&(u=m[y-1],h=g[y-1],d=v[y-1]),e=0;e<y;e++)x=Math.max(x,m[e]),b=Math.min(b,m[e]),_=Math.max(_,g[e]),w=Math.min(w,g[e]),T=Math.max(T,v[e]),k=Math.min(k,v[e]),a||m[e]===c||(a=!0,A+="x"),s||g[e]===f||(s=!0,A+="y"),l||v[e]===p||(l=!0,A+="z");a||(A+="x"),s||(A+="y"),l||(A+="z");var M=o(t._x),S=o(t._y),E=o(t._z);A=(A=(A=A.replace("x",(c>u?"-":"+")+"x")).replace("y",(f>h?"-":"+")+"y")).replace("z",(p>d?"-":"+")+"z");var L=function(){y=0,M=[],S=[],E=[]};(!y||y<M.length*S.length*E.length)&&L();var C=function(t){return"x"===t?m:"y"===t?g:v},P=function(t){return"x"===t?M:"y"===t?S:E},I=function(t){return t[y-1]<t[0]?-1:1},O=C(A[1]),z=C(A[3]),D=C(A[5]),R=P(A[1]).length,F=P(A[3]).length,B=P(A[5]).length,N=!1,j=function(t,e,r){return R*(F*t+e)+r},U=I(C(A[1])),V=I(C(A[3])),H=I(C(A[5]));for(e=0;e<B-1;e++){for(r=0;r<F-1;r++){for(i=0;i<R-1;i++){var q=j(e,r,i),G=j(e,r,i+1),Y=j(e,r+1,i),W=j(e+1,r,i);if(O[q]*U<O[G]*U&&z[q]*V<z[Y]*V&&D[q]*H<D[W]*H||(N=!0),N)break}if(N)break}if(N)break}return N&&(n.warn("Encountered arbitrary coordinates! 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v=n[u];r.xMax=Math.max(r.xMax,v),r.xMin=Math.min(r.xMin,v);var y=o[u];r.yMax=Math.max(r.yMax,y),r.yMin=Math.min(r.yMin,y);var x=l[u];r.zMax=Math.max(r.zMax,x),r.zMin=Math.min(r.zMin,x)}e._slen=c,e._normMax=f,e._xbnds=[r.xMin,r.xMax],e._ybnds=[r.yMin,r.yMax],e._zbnds=[r.zMin,r.zMax]},filter:s,processGrid:a}},{"../../components/colorscale/calc":369,"../../lib":498}],1041:[function(t,e,r){"use strict";var n=t("../../../stackgl_modules").gl_streamtube3d,i=n.createTubeMesh,a=t("../../lib"),o=t("../../lib/gl_format_color").parseColorScale,s=t("../../components/colorscale").extractOpts,l=t("../../plots/gl3d/zip3"),c={xaxis:0,yaxis:1,zaxis:2};function u(t,e){this.scene=t,this.uid=e,this.mesh=null,this.data=null}var f=u.prototype;function h(t){var e=t.length;return e>2?t.slice(1,e-1):2===e?[(t[0]+t[1])/2]:t}function p(t){var e=t.length;return 1===e?[.5,.5]:[t[1]-t[0],t[e-1]-t[e-2]]}function d(t,e){var r=t.fullSceneLayout,i=t.dataScale,u=e._len,f={};function d(t,e){var n=r[e],o=i[c[e]];return a.simpleMap(t,(function(t){return n.d2l(t)*o}))}if(f.vectors=l(d(e._u,"xaxis"),d(e._v,"yaxis"),d(e._w,"zaxis"),u),!u)return{positions:[],cells:[]};var m=d(e._Xs,"xaxis"),g=d(e._Ys,"yaxis"),v=d(e._Zs,"zaxis");if(f.meshgrid=[m,g,v],f.gridFill=e._gridFill,e._slen)f.startingPositions=l(d(e._startsX,"xaxis"),d(e._startsY,"yaxis"),d(e._startsZ,"zaxis"));else{for(var y=g[0],x=h(m),b=h(v),_=new Array(x.length*b.length),w=0,T=0;T<x.length;T++)for(var k=0;k<b.length;k++)_[w++]=[x[T],y,b[k]];f.startingPositions=_}f.colormap=o(e),f.tubeSize=e.sizeref,f.maxLength=e.maxdisplayed;var A=d(e._xbnds,"xaxis"),M=d(e._ybnds,"yaxis"),S=d(e._zbnds,"zaxis"),E=p(m),L=p(g),C=p(v),P=[[A[0]-E[0],M[0]-L[0],S[0]-C[0]],[A[1]+E[1],M[1]+L[1],S[1]+C[1]]],I=n(f,P),O=s(e);I.vertexIntensityBounds=[O.min/e._normMax,O.max/e._normMax];var z=e.lightposition;return I.lightPosition=[z.x,z.y,z.z],I.ambient=e.lighting.ambient,I.diffuse=e.lighting.diffuse,I.specular=e.lighting.specular,I.roughness=e.lighting.roughness,I.fresnel=e.lighting.fresnel,I.opacity=e.opacity,e._pad=I.tubeScale*e.sizeref*2,I}f.handlePick=function(t){var e=this.scene.fullSceneLayout,r=this.scene.dataScale;function n(t,n){var i=e[n],a=r[c[n]];return i.l2c(t)/a}if(t.object===this.mesh){var i=t.data.position,a=t.data.velocity;return t.traceCoordinate=[n(i[0],"xaxis"),n(i[1],"yaxis"),n(i[2],"zaxis"),n(a[0],"xaxis"),n(a[1],"yaxis"),n(a[2],"zaxis"),t.data.intensity*this.data._normMax,t.data.divergence],t.textLabel=this.data.hovertext||this.data.text,!0}},f.update=function(t){this.data=t;var e=d(this.scene,t);this.mesh.update(e)},f.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},e.exports=function(t,e){var r=t.glplot.gl,n=d(t,e),a=i(r,n),o=new u(t,e.uid);return o.mesh=a,o.data=e,a._trace=o,t.glplot.add(a),o}},{"../../../stackgl_modules":1119,"../../components/colorscale":373,"../../lib":498,"../../lib/gl_format_color":494,"../../plots/gl3d/zip3":604}],1042:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../components/colorscale/defaults"),a=t("./attributes");e.exports=function(t,e,r,o){function s(r,i){return n.coerce(t,e,a,r,i)}var l=s("u"),c=s("v"),u=s("w"),f=s("x"),h=s("y"),p=s("z");l&&l.length&&c&&c.length&&u&&u.length&&f&&f.length&&h&&h.length&&p&&p.length?(s("starts.x"),s("starts.y"),s("starts.z"),s("maxdisplayed"),s("sizeref"),s("lighting.ambient"),s("lighting.diffuse"),s("lighting.specular"),s("lighting.roughness"),s("lighting.fresnel"),s("lightposition.x"),s("lightposition.y"),s("lightposition.z"),i(t,e,o,s,{prefix:"",cLetter:"c"}),s("text"),s("hovertext"),s("hovertemplate"),s("uhoverformat"),s("vhoverformat"),s("whoverformat"),s("xhoverformat"),s("yhoverformat"),s("zhoverformat"),e._length=null):e.visible=!1}},{"../../components/colorscale/defaults":371,"../../lib":498,"./attributes":1039}],1043:[function(t,e,r){"use strict";e.exports={moduleType:"trace",name:"streamtube",basePlotModule:t("../../plots/gl3d"),categories:["gl3d","showLegend"],attributes:t("./attributes"),supplyDefaults:t("./defaults"),colorbar:{min:"cmin",max:"cmax"},calc:t("./calc").calc,plot:t("./convert"),eventData:function(t,e){return t.tubex=t.x,t.tubey=t.y,t.tubez=t.z,t.tubeu=e.traceCoordinate[3],t.tubev=e.traceCoordinate[4],t.tubew=e.traceCoordinate[5],t.norm=e.traceCoordinate[6],t.divergence=e.traceCoordinate[7],delete t.x,delete t.y,delete t.z,t},meta:{}}},{"../../plots/gl3d":593,"./attributes":1039,"./calc":1040,"./convert":1041,"./defaults":1042}],1044:[function(t,e,r){"use strict";var n=t("../../plots/attributes"),i=t("../../plots/template_attributes").hovertemplateAttrs,a=t("../../plots/template_attributes").texttemplateAttrs,o=t("../../components/colorscale/attributes"),s=t("../../plots/domain").attributes,l=t("../pie/attributes"),c=t("./constants"),u=t("../../lib/extend").extendFlat;e.exports={labels:{valType:"data_array",editType:"calc"},parents:{valType:"data_array",editType:"calc"},values:{valType:"data_array",editType:"calc"},branchvalues:{valType:"enumerated",values:["remainder","total"],dflt:"remainder",editType:"calc"},count:{valType:"flaglist",flags:["branches","leaves"],dflt:"leaves",editType:"calc"},level:{valType:"any",editType:"plot",anim:!0},maxdepth:{valType:"integer",editType:"plot",dflt:-1},marker:u({colors:{valType:"data_array",editType:"calc"},line:{color:u({},l.marker.line.color,{dflt:null}),width:u({},l.marker.line.width,{dflt:1}),editType:"calc"},editType:"calc"},o("marker",{colorAttr:"colors",anim:!1})),leaf:{opacity:{valType:"number",editType:"style",min:0,max:1},editType:"plot"},text:l.text,textinfo:{valType:"flaglist",flags:["label","text","value","current 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c=n.select(this),f=s.ensureSingle(c,"path","surface",(function(t){t.style("pointer-events","all")}));i.rpx0=H(i.y0),i.rpx1=H(i.y1),i.xmid=(i.x0+i.x1)/2,i.pxmid=q(i.rpx1,i.xmid),i.midangle=-(i.xmid-Math.PI/2),i.startangle=-(i.x0-Math.PI/2),i.stopangle=-(i.x1-Math.PI/2),i.halfangle=.5*Math.min(s.angleDelta(i.x0,i.x1)||Math.PI,Math.PI),i.ring=1-i.rpx0/i.rpx1,i.rInscribed=function(t){return 0===t.rpx0&&s.isFullCircle([t.x0,t.x1])?1:Math.max(0,Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2))}(i),v?f.transition().attrTween("d",(function(t){var e=function(t){var e,r=R[b.getPtId(t)],n={x0:t.x0,x1:t.x1,rpx0:t.rpx0,rpx1:t.rpx1};if(r)e=r;else if(D)if(t.parent)if(X){var i=(t.x1>X?2*Math.PI:0)+U;e={x0:i,x1:i}}else e={rpx0:I,rpx1:I},s.extendFlat(e,K(t));else e={rpx0:0,rpx1:0};else e={x0:U,x1:U};return a(e,n)}(t);return function(t){return G(e(t))}})):f.attr("d",G),c.call(y,M,t,e,{eventDataKeys:x.eventDataKeys,transitionTime:x.CLICK_TRANSITION_TIME,transitionEasing:x.CLICK_TRANSITION_EASING}).call(b.setSliceCursor,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:t._transitioning}),f.call(g,i,k);var p=s.ensureSingle(c,"g","slicetext"),_=s.ensureSingle(p,"text","",(function(t){t.attr("data-notex",1)})),w=s.ensureUniformFontSize(t,b.determineTextFont(k,i,h.font));_.text(r.formatSliceLabel(i,M,k,e,h)).classed("slicetext",!0).attr("text-anchor","middle").call(o.font,w).call(l.convertToTspans,t);var A=o.bBox(_.node());i.transform=m(A,i,T),i.transform.targetX=Y(i),i.transform.targetY=W(i);var S=function(t,e){var r=t.transform;return d(r,e),r.fontSize=w.size,u(k.type,r,h),s.getTextTransform(r)};v?_.transition().attrTween("transform",(function(t){var e=function(t){var e,r=R[b.getPtId(t)],n=t.transform;if(r)e=r;else if(e={rpx1:t.rpx1,transform:{textPosAngle:n.textPosAngle,scale:0,rotate:n.rotate,rCenter:n.rCenter,x:n.x,y:n.y}},D)if(t.parent)if(X){var i=t.x1>X?2*Math.PI:0;e.x0=e.x1=i}else s.extendFlat(e,K(t));else e.x0=e.x1=U;else e.x0=e.x1=U;var o=a(e.transform.textPosAngle,t.transform.textPosAngle),l=a(e.rpx1,t.rpx1),c=a(e.x0,t.x0),f=a(e.x1,t.x1),p=a(e.transform.scale,n.scale),d=a(e.transform.rotate,n.rotate),m=0===n.rCenter?3:0===e.transform.rCenter?1/3:1,g=a(e.transform.rCenter,n.rCenter);return function(t){var e=l(t),r=c(t),i=f(t),a=function(t){return g(Math.pow(t,m))}(t),s={pxmid:q(e,(r+i)/2),rpx1:e,transform:{textPosAngle:o(t),rCenter:a,x:n.x,y:n.y}};return u(k.type,n,h),{transform:{targetX:Y(s),targetY:W(s),scale:p(t),rotate:d(t),rCenter:a}}}}(t);return function(t){return S(e(t),A)}})):_.attr("transform",S(i,A))}))}function w(t){return e=t.rpx1,r=t.transform.textPosAngle,[e*Math.sin(r),-e*Math.cos(r)];var e,r}r.plot=function(t,e,r,i){var a,o,s=t._fullLayout,l=s._sunburstlayer,c=!r,u=!s.uniformtext.mode&&b.hasTransition(r);(f("sunburst",s),(a=l.selectAll("g.trace.sunburst").data(e,(function(t){return t[0].trace.uid}))).enter().append("g").classed("trace",!0).classed("sunburst",!0).attr("stroke-linejoin","round"),a.order(),u)?(i&&(o=i()),n.transition().duration(r.duration).ease(r.easing).each("end",(function(){o&&o()})).each("interrupt",(function(){o&&o()})).each((function(){l.selectAll("g.trace").each((function(e){_(t,e,this,r)}))}))):(a.each((function(e){_(t,e,this,r)})),s.uniformtext.mode&&v(t,s._sunburstlayer.selectAll(".trace"),"sunburst"));c&&a.exit().remove()},r.formatSliceLabel=function(t,e,r,n,i){var a=r.texttemplate,o=r.textinfo;if(!(a||o&&"none"!==o))return"";var l=i.separators,c=n[0],u=t.data.data,f=c.hierarchy,h=b.isHierarchyRoot(t),p=b.getParent(f,t),d=b.getValue(t);if(!a){var m,g=o.split("+"),v=function(t){return-1!==g.indexOf(t)},y=[];if(v("label")&&u.label&&y.push(u.label),u.hasOwnProperty("v")&&v("value")&&y.push(b.formatValue(u.v,l)),!h){v("current path")&&y.push(b.getPath(t.data));var x=0;v("percent parent")&&x++,v("percent entry")&&x++,v("percent root")&&x++;var _=x>1;if(x){var w,T=function(t){m=b.formatPercent(w,l),_&&(m+=" of "+t),y.push(m)};v("percent parent")&&!h&&(w=d/b.getValue(p),T("parent")),v("percent entry")&&(w=d/b.getValue(e),T("entry")),v("percent root")&&(w=d/b.getValue(f),T("root"))}}return v("text")&&(m=s.castOption(r,u.i,"text"),s.isValidTextValue(m)&&y.push(m)),y.join("<br>")}var k=s.castOption(r,u.i,"texttemplate");if(!k)return"";var A={};u.label&&(A.label=u.label),u.hasOwnProperty("v")&&(A.value=u.v,A.valueLabel=b.formatValue(u.v,l)),A.currentPath=b.getPath(t.data),h||(A.percentParent=d/b.getValue(p),A.percentParentLabel=b.formatPercent(A.percentParent,l),A.parent=b.getPtLabel(p)),A.percentEntry=d/b.getValue(e),A.percentEntryLabel=b.formatPercent(A.percentEntry,l),A.entry=b.getPtLabel(e),A.percentRoot=d/b.getValue(f),A.percentRootLabel=b.formatPercent(A.percentRoot,l),A.root=b.getPtLabel(f),u.hasOwnProperty("color")&&(A.color=u.color);var M=s.castOption(r,u.i,"text");return(s.isValidTextValue(M)||""===M)&&(A.text=M),A.customdata=s.castOption(r,u.i,"customdata"),s.texttemplateString(k,A,i._d3locale,A,r._meta||{})}},{"../../components/drawing":383,"../../lib":498,"../../lib/svg_text_utils":524,"../bar/style":657,"../bar/uniform_text":659,"../pie/helpers":901,"../pie/plot":905,"./constants":1047,"./fx":1049,"./helpers":1050,"./style":1055,"@plotly/d3":58,"d3-hierarchy":110,"d3-interpolate":111}],1055:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../../components/color"),a=t("../../lib"),o=t("../bar/uniform_text").resizeText;function s(t,e,r){var n=e.data.data,o=!e.children,s=n.i,l=a.castOption(r,s,"marker.line.color")||i.defaultLine,c=a.castOption(r,s,"marker.line.width")||0;t.style("stroke-width",c).call(i.fill,n.color).call(i.stroke,l).style("opacity",o?r.leaf.opacity:null)}e.exports={style:function(t){var e=t._fullLayout._sunburstlayer.selectAll(".trace");o(t,e,"sunburst"),e.each((function(t){var e=n.select(this),r=t[0].trace;e.style("opacity",r.opacity),e.selectAll("path.surface").each((function(t){n.select(this).call(s,t,r)}))}))},styleOne:s}},{"../../components/color":361,"../../lib":498,"../bar/uniform_text":659,"@plotly/d3":58}],1056:[function(t,e,r){"use strict";var n=t("../../components/color"),i=t("../../components/colorscale/attributes"),a=t("../../plots/cartesian/axis_format_attributes").axisHoverFormat,o=t("../../plots/template_attributes").hovertemplateAttrs,s=t("../../plots/attributes"),l=t("../../lib/extend").extendFlat,c=t("../../plot_api/edit_types").overrideAll;function u(t){return{show:{valType:"boolean",dflt:!1},start:{valType:"number",dflt:null,editType:"plot"},end:{valType:"number",dflt:null,editType:"plot"},size:{valType:"number",dflt:null,min:0,editType:"plot"},project:{x:{valType:"boolean",dflt:!1},y:{valType:"boolean",dflt:!1},z:{valType:"boolean",dflt:!1}},color:{valType:"color",dflt:n.defaultLine},usecolormap:{valType:"boolean",dflt:!1},width:{valType:"number",min:1,max:16,dflt:2},highlight:{valType:"boolean",dflt:!0},highlightcolor:{valType:"color",dflt:n.defaultLine},highlightwidth:{valType:"number",min:1,max:16,dflt:2}}}var f=e.exports=c(l({z:{valType:"data_array"},x:{valType:"data_array"},y:{valType:"data_array"},text:{valType:"string",dflt:"",arrayOk:!0},hovertext:{valType:"string",dflt:"",arrayOk:!0},hovertemplate:o(),xhoverformat:a("x"),yhoverformat:a("y"),zhoverformat:a("z"),connectgaps:{valType:"boolean",dflt:!1,editType:"calc"},surfacecolor:{valType:"data_array"}},i("",{colorAttr:"z or surfacecolor",showScaleDflt:!0,autoColorDflt:!1,editTypeOverride:"calc"}),{contours:{x:u(),y:u(),z:u()},hidesurface:{valType:"boolean",dflt:!1},lightposition:{x:{valType:"number",min:-1e5,max:1e5,dflt:10},y:{valType:"number",min:-1e5,max:1e5,dflt:1e4},z:{valType:"number",min:-1e5,max:1e5,dflt:0}},lighting:{ambient:{valType:"number",min:0,max:1,dflt:.8},diffuse:{valType:"number",min:0,max:1,dflt:.8},specular:{valType:"number",min:0,max:2,dflt:.05},roughness:{valType:"number",min:0,max:1,dflt:.5},fresnel:{valType:"number",min:0,max:5,dflt:.2}},opacity:{valType:"number",min:0,max:1,dflt:1},opacityscale:{valType:"any",editType:"calc"},_deprecated:{zauto:l({},i.zauto,{}),zmin:l({},i.zmin,{}),zmax:l({},i.zmax,{})},hoverinfo:l({},s.hoverinfo),showlegend:l({},s.showlegend,{dflt:!1})}),"calc","nested");f.x.editType=f.y.editType=f.z.editType="calc+clearAxisTypes",f.transforms=void 0},{"../../components/color":361,"../../components/colorscale/attributes":368,"../../lib/extend":488,"../../plot_api/edit_types":531,"../../plots/attributes":545,"../../plots/cartesian/axis_format_attributes":552,"../../plots/template_attributes":628}],1057:[function(t,e,r){"use strict";var n=t("../../components/colorscale/calc");e.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:"",cLetter:"c"}):n(t,e,{vals:e.z,containerStr:"",cLetter:"c"})}},{"../../components/colorscale/calc":369}],1058:[function(t,e,r){"use strict";var n=t("../../../stackgl_modules").gl_surface3d,i=t("../../../stackgl_modules").ndarray,a=t("../../../stackgl_modules").ndarray_linear_interpolate.d2,o=t("../heatmap/interp2d"),s=t("../heatmap/find_empties"),l=t("../../lib").isArrayOrTypedArray,c=t("../../lib/gl_format_color").parseColorScale,u=t("../../lib/str2rgbarray"),f=t("../../components/colorscale").extractOpts;function h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?i:n.d2l(i,0,r)},p.getZat=function(t,e,r,n){var i=this.data.z[e][t];return null===i&&this.data.connectgaps&&this.data._interpolatedZ&&(i=this.data._interpolatedZ[e][t]),void 0===r?i:n.d2l(i,0,r)},p.handlePick=function(t){if(t.object===this.surface){var e=(t.data.index[0]-1)/this.dataScaleX-1,r=(t.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(e),this.data.z[0].length-1),0),i=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);t.index=[n,i],t.traceCoordinate=[this.getXat(n,i),this.getYat(n,i),this.getZat(n,i)],t.dataCoordinate=[this.getXat(n,i,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,i,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,i,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var a=0;a<3;a++){var o=t.dataCoordinate[a];null!=o&&(t.dataCoordinate[a]*=this.scene.dataScale[a])}var s=this.data.hovertext||this.data.text;return Array.isArray(s)&&s[i]&&void 0!==s[i][n]?t.textLabel=s[i][n]:t.textLabel=s||"",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var d=[2,3,5,7,11,13,17,19,23,29,31,37,41,43,47,53,59,61,67,71,73,79,83,89,97,101,103,107,109,113,127,131,137,139,149,151,157,163,167,173,179,181,191,193,197,199,211,223,227,229,233,239,241,251,257,263,269,271,277,281,283,293,307,311,313,317,331,337,347,349,353,359,367,373,379,383,389,397,401,409,419,421,431,433,439,443,449,457,461,463,467,479,487,491,499,503,509,521,523,541,547,557,563,569,571,577,587,593,599,601,607,613,617,619,631,641,643,647,653,659,661,673,677,683,691,701,709,719,727,733,739,743,751,757,761,769,773,787,797,809,811,821,823,827,829,839,853,857,859,863,877,881,883,887,907,911,919,929,937,941,947,953,967,971,977,983,991,997,1009,1013,1019,1021,1031,1033,1039,1049,1051,1061,1063,1069,1087,1091,1093,1097,1103,1109,1117,1123,1129,1151,1153,1163,1171,1181,1187,1193,1201,1213,1217,1223,1229,1231,1237,1249,1259,1277,1279,1283,1289,1291,1297,1301,1303,1307,1319,1321,1327,1361,1367,1373,1381,1399,1409,1423,1427,1429,1433,1439,1447,1451,1453,1459,1471,1481,1483,1487,1489,1493,1499,1511,1523,1531,1543,1549,1553,1559,1567,1571,1579,1583,1597,1601,1607,1609,1613,1619,1621,1627,1637,1657,1663,1667,1669,1693,1697,1699,1709,1721,1723,1733,1741,1747,1753,1759,1777,1783,1787,1789,1801,1811,1823,1831,1847,1861,1867,1871,1873,1877,1879,1889,1901,1907,1913,1931,1933,1949,1951,1973,1979,1987,1993,1997,1999,2003,2011,2017,2027,2029,2039,2053,2063,2069,2081,2083,2087,2089,2099,2111,2113,2129,2131,2137,2141,2143,2153,2161,2179,2203,2207,2213,2221,2237,2239,2243,2251,2267,2269,2273,2281,2287,2293,2297,2309,2311,2333,2339,2341,2347,2351,2357,2371,2377,2381,2383,2389,2393,2399,2411,2417,2423,2437,2441,2447,2459,2467,2473,2477,2503,2521,2531,2539,2543,2549,2551,2557,2579,2591,2593,2609,2617,2621,2633,2647,2657,2659,2663,2671,2677,2683,2687,2689,2693,2699,2707,2711,2713,2719,2729,2731,2741,2749,2753,2767,2777,2789,2791,2797,2801,2803,2819,2833,2837,2843,2851,2857,2861,2879,2887,2897,2903,2909,2917,2927,2939,2953,2957,2963,2969,2971,2999];function m(t,e){if(t<e)return 0;for(var r=0;0===Math.floor(t%e);)t/=e,r++;return r}function g(t){for(var e=[],r=0;r<d.length;r++){var n=d[r];e.push(m(t,n))}return e}function v(t){for(var e=g(t),r=t,n=0;n<d.length;n++)if(e[n]>0){r=d[n];break}return r}function y(t,e){if(!(t<1||e<1)){for(var r=g(t),n=g(e),i=1,a=0;a<d.length;a++)i*=Math.pow(d[a],Math.max(r[a],n[a]));return i}}p.calcXnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getXat(e-1,0),i=this.getXat(e,0);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r},p.calcYnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getYat(0,e-1),i=this.getYat(0,e);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r};var x=[1,2,4,6,12,24,36,48,60,120,180,240,360,720,840,1260],b=x[9],_=x[13];function w(t,e,r){var n=r[8]+r[2]*e[0]+r[5]*e[1];return t[0]=(r[6]+r[0]*e[0]+r[3]*e[1])/n,t[1]=(r[7]+r[1]*e[0]+r[4]*e[1])/n,t}function T(t,e,r){return function(t,e,r,n){for(var i=[0,0],o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var c=0;c<s;c++)r(i,[l,c],n),t.set(l,c,a(e,i[0],i[1]))}(t,e,w,r),t}function k(t,e){for(var r=!1,n=0;n<t.length;n++)if(e===t[n]){r=!0;break}!1===r&&t.push(e)}p.estimateScale=function(t,e){for(var r=1+function(t){if(0!==t.length){for(var e=1,r=0;r<t.length;r++)e=y(e,t[r]);return e}}(0===e?this.calcXnums(t):this.calcYnums(t));r<b;)r*=2;for(;r>_;)r--,r/=v(r),++r<b&&(r=_);var n=Math.round(r/t);return n>1?n:1},p.refineCoords=function(t){for(var e=this.dataScaleX,r=this.dataScaleY,n=t[0].shape[0],a=t[0].shape[1],o=0|Math.floor(t[0].shape[0]*e+1),s=0|Math.floor(t[0].shape[1]*r+1),l=1+n+1,c=1+a+1,u=i(new Float32Array(l*c),[l,c]),f=[1/e,0,0,0,1/r,0,0,0,1],h=0;h<t.length;++h){this.surface.padField(u,t[h]);var p=i(new Float32Array(o*s),[o,s]);T(p,u,f),t[h]=p}},p.setContourLevels=function(){var t,e,r,n=[[],[],[]],i=[!1,!1,!1],a=!1;for(t=0;t<3;++t)if(this.showContour[t]&&(a=!0,this.contourSize[t]>0&&null!==this.contourStart[t]&&null!==this.contourEnd[t]&&this.contourEnd[t]>this.contourStart[t]))for(i[t]=!0,e=this.contourStart[t];e<this.contourEnd[t];e+=this.contourSize[t])r=e*this.scene.dataScale[t],k(n[t],r);if(a){var o=[[],[],[]];for(t=0;t<3;++t)this.showContour[t]&&(o[t]=i[t]?n[t]:this.scene.contourLevels[t]);this.surface.update({levels:o})}},p.update=function(t){var e,r,n,a,l=this.scene,h=l.fullSceneLayout,p=this.surface,d=c(t),m=l.dataScale,g=t.z[0].length,v=t._ylength,y=l.contourLevels;this.data=t;var 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A=[!0,!0,!0],M=["x","y","z"];for(e=0;e<3;++e){var S=t.contours[M[e]];A[e]=S.highlight,w.showContour[e]=S.show||S.highlight,w.showContour[e]&&(w.contourProject[e]=[S.project.x,S.project.y,S.project.z],S.show?(this.showContour[e]=!0,w.levels[e]=y[e],p.highlightColor[e]=w.contourColor[e]=u(S.color),S.usecolormap?p.highlightTint[e]=w.contourTint[e]=0:p.highlightTint[e]=w.contourTint[e]=1,w.contourWidth[e]=S.width,this.contourStart[e]=S.start,this.contourEnd[e]=S.end,this.contourSize[e]=S.size):(this.showContour[e]=!1,this.contourStart[e]=null,this.contourEnd[e]=null,this.contourSize[e]=0),S.highlight&&(w.dynamicColor[e]=u(S.highlightcolor),w.dynamicWidth[e]=S.highlightwidth))}(function(t){var e=t[0].rgb,r=t[t.length-1].rgb;return e[0]===r[0]&&e[1]===r[1]&&e[2]===r[2]&&e[3]===r[3]})(d)&&(w.vertexColor=!0),w.objectOffset=this.objectOffset,w.coords=b,p.update(w),p.visible=t.visible,p.enableDynamic=A,p.enableHighlight=A,p.snapToData=!0,"lighting"in 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r=[],n=0;n<32;n++){var i=n/31,a=e+(1-e)*(1-Math.pow(Math.sin(t*i*Math.PI),2));r.push([i,Math.max(0,Math.min(1,a))])}return r}(1,.1):function(t){var e=0;if(!Array.isArray(t)||t.length<2)return!1;if(!t[0]||!t[t.length-1])return!1;if(0!=+t[0][0]||1!=+t[t.length-1][0])return!1;for(var r=0;r<t.length;r++){var n=t[r];if(2!==n.length||+n[0]<e)return!1;e=+n[0]}return!0}(i)||(e.opacityscale=void 0)}function l(t,e,r){e in t&&!(r in t)&&(t[r]=t[e])}e.exports={supplyDefaults:function(t,e,r,c){var u,f;function h(r,n){return i.coerce(t,e,o,r,n)}var p=h("x"),d=h("y"),m=h("z");if(!m||!m.length||p&&p.length<1||d&&d.length<1)e.visible=!1;else{e._xlength=Array.isArray(p)&&i.isArrayOrTypedArray(p[0])?m.length:m[0].length,e._ylength=m.length,n.getComponentMethod("calendars","handleTraceDefaults")(t,e,["x","y","z"],c),h("text"),h("hovertext"),h("hovertemplate"),h("xhoverformat"),h("yhoverformat"),h("zhoverformat"),["lighting.ambient","lighting.diffuse","lighting.specular","lighting.roughness","lighting.fresnel","lightposition.x","lightposition.y","lightposition.z","hidesurface","connectgaps","opacity"].forEach((function(t){h(t)}));var g=h("surfacecolor"),v=["x","y","z"];for(u=0;u<3;++u){var y="contours."+v[u],x=h(y+".show"),b=h(y+".highlight");if(x||b)for(f=0;f<3;++f)h(y+".project."+v[f]);x&&(h(y+".color"),h(y+".width"),h(y+".usecolormap")),b&&(h(y+".highlightcolor"),h(y+".highlightwidth")),h(y+".start"),h(y+".end"),h(y+".size")}g||(l(t,"zmin","cmin"),l(t,"zmax","cmax"),l(t,"zauto","cauto")),a(t,e,c,h,{prefix:"",cLetter:"c"}),s(t,e,c,h),e._length=null}},opacityscaleDefaults:s}},{"../../components/colorscale/defaults":371,"../../lib":498,"../../registry":633,"./attributes":1056}],1060:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults").supplyDefaults,colorbar:{min:"cmin",max:"cmax"},calc:t("./calc"),plot:t("./convert"),moduleType:"trace",name:"surface",basePlotModule:t("../../plots/gl3d"),categories:["gl3d","2dMap","showLegend"],meta:{}}},{"../../plots/gl3d":593,"./attributes":1056,"./calc":1057,"./convert":1058,"./defaults":1059}],1061:[function(t,e,r){"use strict";var n=t("../../components/annotations/attributes"),i=t("../../lib/extend").extendFlat,a=t("../../plot_api/edit_types").overrideAll,o=t("../../plots/font_attributes"),s=t("../../plots/domain").attributes,l=t("../../plots/cartesian/axis_format_attributes").descriptionOnlyNumbers;(e.exports=a({domain:s({name:"table",trace:!0}),columnwidth:{valType:"number",arrayOk:!0,dflt:null},columnorder:{valType:"data_array"},header:{values:{valType:"data_array",dflt:[]},format:{valType:"data_array",dflt:[],description:l("cell value")},prefix:{valType:"string",arrayOk:!0,dflt:null},suffix:{valType:"string",arrayOk:!0,dflt:null},height:{valType:"number",dflt:28},align:i({},n.align,{arrayOk:!0}),line:{width:{valType:"number",arrayOk:!0,dflt:1},color:{valType:"color",arrayOk:!0,dflt:"grey"}},fill:{color:{valType:"color",arrayOk:!0,dflt:"white"}},font:i({},o({arrayOk:!0}))},cells:{values:{valType:"data_array",dflt:[]},format:{valType:"data_array",dflt:[],description:l("cell 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e,r=t.slice(),n=1/0,i=0;for(e=0;e<r.length;e++)Array.isArray(r[e])||(r[e]=[r[e]]),n=Math.min(n,r[e].length),i=Math.max(i,r[e].length);if(n!==i)for(e=0;e<r.length;e++){var a=i-r[e].length;a&&(r[e]=r[e].concat(c(a)))}return r}function c(t){for(var e=new Array(t),r=0;r<t;r++)e[r]="";return e}function u(t){return t.calcdata.columns.reduce((function(e,r){return r.xIndex<t.xIndex?e+r.columnWidth:e}),0)}function f(t,e){return Object.keys(t).map((function(r){return i({},t[r],{auxiliaryBlocks:e})}))}function h(t,e){for(var r,n={},i=0,a=0,o={firstRowIndex:null,lastRowIndex:null,rows:[]},s=0,l=0,c=0;c<t.length;c++)r=t[c],o.rows.push({rowIndex:c,rowHeight:r}),((a+=r)>=e||c===t.length-1)&&(n[i]=o,o.key=l++,o.firstRowIndex=s,o.lastRowIndex=c,o={firstRowIndex:null,lastRowIndex:null,rows:[]},i+=a,s=c+1,a=0);return n}e.exports=function(t,e){var r=l(e.cells.values),p=function(t){return t.slice(e.header.values.length,t.length)},d=l(e.header.values);d.length&&!d[0].length&&(d[0]=[""],d=l(d));var m=d.concat(p(r).map((function(){return c((d[0]||[""]).length)}))),g=e.domain,v=Math.floor(t._fullLayout._size.w*(g.x[1]-g.x[0])),y=Math.floor(t._fullLayout._size.h*(g.y[1]-g.y[0])),x=e.header.values.length?m[0].map((function(){return e.header.height})):[n.emptyHeaderHeight],b=r.length?r[0].map((function(){return e.cells.height})):[],_=x.reduce(s,0),w=h(b,y-_+n.uplift),T=f(h(x,_),[]),k=f(w,T),A={},M=e._fullInput.columnorder.concat(p(r.map((function(t,e){return e})))),S=m.map((function(t,r){var n=Array.isArray(e.columnwidth)?e.columnwidth[Math.min(r,e.columnwidth.length-1)]:e.columnwidth;return a(n)?Number(n):1})),E=S.reduce(s,0);S=S.map((function(t){return t/E*v}));var L=Math.max(o(e.header.line.width),o(e.cells.line.width)),C={key:e.uid+t._context.staticPlot,translateX:g.x[0]*t._fullLayout._size.w,translateY:t._fullLayout._size.h*(1-g.y[1]),size:t._fullLayout._size,width:v,maxLineWidth:L,height:y,columnOrder:M,groupHeight:y,rowBlocks:k,headerRowBlocks:T,scrollY:0,cells:i({},e.cells,{values:r}),headerCells:i({},e.header,{values:m}),gdColumns:m.map((function(t){return t[0]})),gdColumnsOriginalOrder:m.map((function(t){return t[0]})),prevPages:[0,0],scrollbarState:{scrollbarScrollInProgress:!1},columns:m.map((function(t,e){var r=A[t];return A[t]=(r||0)+1,{key:t+"__"+A[t],label:t,specIndex:e,xIndex:M[e],xScale:u,x:void 0,calcdata:void 0,columnWidth:S[e]}}))};return C.columns.forEach((function(t){t.calcdata=C,t.x=u(t)})),C}},{"../../lib/extend":488,"./constants":1064,"fast-isnumeric":185}],1066:[function(t,e,r){"use strict";var n=t("../../lib/extend").extendFlat;r.splitToPanels=function(t){var 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0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var a=0,o=0;o<n.length;o++)a=(e=(0|r.words[o])-(0|n.words[o])+a)>>26,this.words[o]=67108863&e;for(;0!==a&&o<r.length;o++)a=(e=(0|r.words[o])+a)>>26,this.words[o]=67108863&e;if(0===a&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},a.prototype.sub=function(t){return this.clone().isub(t)};var d=function(t,e,r){var n,i,a,o=t.words,s=e.words,l=r.words,c=0,u=0|o[0],f=8191&u,h=u>>>13,p=0|o[1],d=8191&p,m=p>>>13,g=0|o[2],v=8191&g,y=g>>>13,x=0|o[3],b=8191&x,_=x>>>13,w=0|o[4],T=8191&w,k=w>>>13,A=0|o[5],M=8191&A,S=A>>>13,E=0|o[6],L=8191&E,C=E>>>13,P=0|o[7],I=8191&P,O=P>>>13,z=0|o[8],D=8191&z,R=z>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],U=8191&j,V=j>>>13,H=0|s[1],q=8191&H,G=H>>>13,Y=0|s[2],W=8191&Y,X=Y>>>13,Z=0|s[3],J=8191&Z,K=Z>>>13,Q=0|s[4],$=8191&Q,tt=Q>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,it=0|s[6],at=8191&it,ot=it>>>13,st=0|s[7],lt=8191&st,ct=st>>>13,ut=0|s[8],ft=8191&ut,ht=ut>>>13,pt=0|s[9],dt=8191&pt,mt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var gt=(c+(n=Math.imul(f,U))|0)+((8191&(i=(i=Math.imul(f,V))+Math.imul(h,U)|0))<<13)|0;c=((a=Math.imul(h,V))+(i>>>13)|0)+(gt>>>26)|0,gt&=67108863,n=Math.imul(d,U),i=(i=Math.imul(d,V))+Math.imul(m,U)|0,a=Math.imul(m,V);var vt=(c+(n=n+Math.imul(f,q)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,q)|0))<<13)|0;c=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(vt>>>26)|0,vt&=67108863,n=Math.imul(v,U),i=(i=Math.imul(v,V))+Math.imul(y,U)|0,a=Math.imul(y,V),n=n+Math.imul(d,q)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(m,q)|0,a=a+Math.imul(m,G)|0;var yt=(c+(n=n+Math.imul(f,W)|0)|0)+((8191&(i=(i=i+Math.imul(f,X)|0)+Math.imul(h,W)|0))<<13)|0;c=((a=a+Math.imul(h,X)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(v,q)|0,i=(i=i+Math.imul(v,G)|0)+Math.imul(y,q)|0,a=a+Math.imul(y,G)|0,n=n+Math.imul(d,W)|0,i=(i=i+Math.imul(d,X)|0)+Math.imul(m,W)|0,a=a+Math.imul(m,X)|0;var xt=(c+(n=n+Math.imul(f,J)|0)|0)+((8191&(i=(i=i+Math.imul(f,K)|0)+Math.imul(h,J)|0))<<13)|0;c=((a=a+Math.imul(h,K)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(b,q)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,q)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(v,W)|0,i=(i=i+Math.imul(v,X)|0)+Math.imul(y,W)|0,a=a+Math.imul(y,X)|0,n=n+Math.imul(d,J)|0,i=(i=i+Math.imul(d,K)|0)+Math.imul(m,J)|0,a=a+Math.imul(m,K)|0;var bt=(c+(n=n+Math.imul(f,$)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,$)|0))<<13)|0;c=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,q)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,q)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,W)|0,i=(i=i+Math.imul(b,X)|0)+Math.imul(_,W)|0,a=a+Math.imul(_,X)|0,n=n+Math.imul(v,J)|0,i=(i=i+Math.imul(v,K)|0)+Math.imul(y,J)|0,a=a+Math.imul(y,K)|0,n=n+Math.imul(d,$)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(m,$)|0,a=a+Math.imul(m,tt)|0;var _t=(c+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;c=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=(i=Math.imul(L,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(M,q)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,q)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,W)|0,i=(i=i+Math.imul(T,X)|0)+Math.imul(k,W)|0,a=a+Math.imul(k,X)|0,n=n+Math.imul(b,J)|0,i=(i=i+Math.imul(b,K)|0)+Math.imul(_,J)|0,a=a+Math.imul(_,K)|0,n=n+Math.imul(v,$)|0,i=(i=i+Math.imul(v,tt)|0)+Math.imul(y,$)|0,a=a+Math.imul(y,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0;var wt=(c+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;c=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(I,U),i=(i=Math.imul(I,V))+Math.imul(O,U)|0,a=Math.imul(O,V),n=n+Math.imul(L,q)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,q)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,W)|0,i=(i=i+Math.imul(M,X)|0)+Math.imul(S,W)|0,a=a+Math.imul(S,X)|0,n=n+Math.imul(T,J)|0,i=(i=i+Math.imul(T,K)|0)+Math.imul(k,J)|0,a=a+Math.imul(k,K)|0,n=n+Math.imul(b,$)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,$)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(v,rt)|0,i=(i=i+Math.imul(v,nt)|0)+Math.imul(y,rt)|0,a=a+Math.imul(y,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0;var Tt=(c+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ct)|0)+Math.imul(h,lt)|0))<<13)|0;c=((a=a+Math.imul(h,ct)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(D,U),i=(i=Math.imul(D,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(I,q)|0,i=(i=i+Math.imul(I,G)|0)+Math.imul(O,q)|0,a=a+Math.imul(O,G)|0,n=n+Math.imul(L,W)|0,i=(i=i+Math.imul(L,X)|0)+Math.imul(C,W)|0,a=a+Math.imul(C,X)|0,n=n+Math.imul(M,J)|0,i=(i=i+Math.imul(M,K)|0)+Math.imul(S,J)|0,a=a+Math.imul(S,K)|0,n=n+Math.imul(T,$)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,$)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(v,at)|0,i=(i=i+Math.imul(v,ot)|0)+Math.imul(y,at)|0,a=a+Math.imul(y,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ct)|0)+Math.imul(m,lt)|0,a=a+Math.imul(m,ct)|0;var kt=(c+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;c=((a=a+Math.imul(h,ht)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(D,q)|0,i=(i=i+Math.imul(D,G)|0)+Math.imul(R,q)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(I,W)|0,i=(i=i+Math.imul(I,X)|0)+Math.imul(O,W)|0,a=a+Math.imul(O,X)|0,n=n+Math.imul(L,J)|0,i=(i=i+Math.imul(L,K)|0)+Math.imul(C,J)|0,a=a+Math.imul(C,K)|0,n=n+Math.imul(M,$)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,$)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(v,lt)|0,i=(i=i+Math.imul(v,ct)|0)+Math.imul(y,lt)|0,a=a+Math.imul(y,ct)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(m,ft)|0,a=a+Math.imul(m,ht)|0;var At=(c+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,mt)|0)+Math.imul(h,dt)|0))<<13)|0;c=((a=a+Math.imul(h,mt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,q),i=(i=Math.imul(B,G))+Math.imul(N,q)|0,a=Math.imul(N,G),n=n+Math.imul(D,W)|0,i=(i=i+Math.imul(D,X)|0)+Math.imul(R,W)|0,a=a+Math.imul(R,X)|0,n=n+Math.imul(I,J)|0,i=(i=i+Math.imul(I,K)|0)+Math.imul(O,J)|0,a=a+Math.imul(O,K)|0,n=n+Math.imul(L,$)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,$)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ct)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ct)|0,n=n+Math.imul(v,ft)|0,i=(i=i+Math.imul(v,ht)|0)+Math.imul(y,ft)|0,a=a+Math.imul(y,ht)|0;var Mt=(c+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,mt)|0)+Math.imul(m,dt)|0))<<13)|0;c=((a=a+Math.imul(m,mt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,W),i=(i=Math.imul(B,X))+Math.imul(N,W)|0,a=Math.imul(N,X),n=n+Math.imul(D,J)|0,i=(i=i+Math.imul(D,K)|0)+Math.imul(R,J)|0,a=a+Math.imul(R,K)|0,n=n+Math.imul(I,$)|0,i=(i=i+Math.imul(I,tt)|0)+Math.imul(O,$)|0,a=a+Math.imul(O,tt)|0,n=n+Math.imul(L,rt)|0,i=(i=i+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ct)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ct)|0,n=n+Math.imul(b,ft)|0,i=(i=i+Math.imul(b,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var St=(c+(n=n+Math.imul(v,dt)|0)|0)+((8191&(i=(i=i+Math.imul(v,mt)|0)+Math.imul(y,dt)|0))<<13)|0;c=((a=a+Math.imul(y,mt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,J),i=(i=Math.imul(B,K))+Math.imul(N,J)|0,a=Math.imul(N,K),n=n+Math.imul(D,$)|0,i=(i=i+Math.imul(D,tt)|0)+Math.imul(R,$)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(I,rt)|0,i=(i=i+Math.imul(I,nt)|0)+Math.imul(O,rt)|0,a=a+Math.imul(O,nt)|0,n=n+Math.imul(L,at)|0,i=(i=i+Math.imul(L,ot)|0)+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ct)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ct)|0,n=n+Math.imul(T,ft)|0,i=(i=i+Math.imul(T,ht)|0)+Math.imul(k,ft)|0,a=a+Math.imul(k,ht)|0;var Et=(c+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,mt)|0)+Math.imul(_,dt)|0))<<13)|0;c=((a=a+Math.imul(_,mt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,$),i=(i=Math.imul(B,tt))+Math.imul(N,$)|0,a=Math.imul(N,tt),n=n+Math.imul(D,rt)|0,i=(i=i+Math.imul(D,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(I,at)|0,i=(i=i+Math.imul(I,ot)|0)+Math.imul(O,at)|0,a=a+Math.imul(O,ot)|0,n=n+Math.imul(L,lt)|0,i=(i=i+Math.imul(L,ct)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ct)|0,n=n+Math.imul(M,ft)|0,i=(i=i+Math.imul(M,ht)|0)+Math.imul(S,ft)|0,a=a+Math.imul(S,ht)|0;var Lt=(c+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,mt)|0)+Math.imul(k,dt)|0))<<13)|0;c=((a=a+Math.imul(k,mt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(D,at)|0,i=(i=i+Math.imul(D,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(I,lt)|0,i=(i=i+Math.imul(I,ct)|0)+Math.imul(O,lt)|0,a=a+Math.imul(O,ct)|0,n=n+Math.imul(L,ft)|0,i=(i=i+Math.imul(L,ht)|0)+Math.imul(C,ft)|0,a=a+Math.imul(C,ht)|0;var Ct=(c+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,mt)|0)+Math.imul(S,dt)|0))<<13)|0;c=((a=a+Math.imul(S,mt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(D,lt)|0,i=(i=i+Math.imul(D,ct)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ct)|0,n=n+Math.imul(I,ft)|0,i=(i=i+Math.imul(I,ht)|0)+Math.imul(O,ft)|0,a=a+Math.imul(O,ht)|0;var Pt=(c+(n=n+Math.imul(L,dt)|0)|0)+((8191&(i=(i=i+Math.imul(L,mt)|0)+Math.imul(C,dt)|0))<<13)|0;c=((a=a+Math.imul(C,mt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ct))+Math.imul(N,lt)|0,a=Math.imul(N,ct),n=n+Math.imul(D,ft)|0,i=(i=i+Math.imul(D,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var It=(c+(n=n+Math.imul(I,dt)|0)|0)+((8191&(i=(i=i+Math.imul(I,mt)|0)+Math.imul(O,dt)|0))<<13)|0;c=((a=a+Math.imul(O,mt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var Ot=(c+(n=n+Math.imul(D,dt)|0)|0)+((8191&(i=(i=i+Math.imul(D,mt)|0)+Math.imul(R,dt)|0))<<13)|0;c=((a=a+Math.imul(R,mt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863;var zt=(c+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,mt))+Math.imul(N,dt)|0))<<13)|0;return c=((a=Math.imul(N,mt))+(i>>>13)|0)+(zt>>>26)|0,zt&=67108863,l[0]=gt,l[1]=vt,l[2]=yt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Pt,l[16]=It,l[17]=Ot,l[18]=zt,0!==c&&(l[19]=c,r.length++),r};function m(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r=this.length+t.length;return 10===this.length&&10===t.length?d(this,t,e):r<63?p(this,t,e):r<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a<r.length-1;a++){var o=i;i=0;for(var s=67108863&n,l=Math.min(a,e.length-1),c=Math.max(0,a-t.length+1);c<=l;c++){var u=a-c,f=(0|t.words[u])*(0|e.words[c]),h=67108863&f;s=67108863&(h=h+s|0),i+=(o=(o=o+(f/67108864|0)|0)+(h>>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):m(this,t,e)},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},g.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i<e;i++)n|=(1&t)<<e-i-1,t>>=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o<a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},g.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o<i;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),c=Math.sin(2*Math.PI/s),u=0;u<i;u+=s)for(var f=l,h=c,p=0;p<o;p++){var d=r[u+p],m=n[u+p],g=r[u+p+o],v=n[u+p+o],y=f*g-h*v;v=f*v+h*g,g=y,r[u+p]=d+g,n[u+p]=m+v,r[u+p+o]=d-g,n[u+p+o]=m-v,p!==s&&(y=l*f-c*h,h=l*h+c*f,f=y)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,i=0;for(r=r/2|0;r;r>>>=1)i++;return 1<<i+1+n},g.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var i=t[n];t[n]=t[r-n-1],t[r-n-1]=i,i=e[n],e[n]=-e[r-n-1],e[r-n-1]=-i}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&i,r=i<67108864?0:i/67108864|0}return t},g.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o<e;o++)a+=0|t[o],r[2*o]=8191&a,a>>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o<i;++o)r[o]=0;n(0===a),n(0==(-8192&a))},g.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},g.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(n),a=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),c=new Array(n),u=new Array(n),f=new Array(n),h=r.words;h.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,c,n),this.transform(o,a,s,l,n,i),this.transform(c,a,u,f,n,i);for(var p=0;p<n;p++){var d=s[p]*u[p]-l[p]*f[p];l[p]=s[p]*f[p]+l[p]*u[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,h,a,n,i),this.conjugate(h,a,n),this.normalize13b(h,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},a.prototype.mul=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},a.prototype.mulf=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),m(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n("number"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var i=(0|this.words[r])*t,a=(67108863&i)+(67108863&e);e>>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,i=r%26;e[r]=(t.words[n]&1<<i)>>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var i=r.sqr();n<e.length;n++,i=i.sqr())0!==e[n]&&(r=r.mul(i));return r},a.prototype.iushln=function(t){n("number"==typeof t&&t>=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&a,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e<i;e++)this.words[e]=0;this.length+=i}return this.strip()},a.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},a.prototype.iushrn=function(t,e,r){var i;n("number"==typeof t&&t>=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<<a,l=r;if(i-=o,i=Math.max(0,i),l){for(var c=0;c<o;c++)l.words[c]=this.words[c];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,c=0;c<this.length;c++)this.words[c]=this.words[c+o];else this.words[0]=0,this.length=1;var u=0;for(c=this.length-1;c>=0&&(0!==u||c>=i);c--){var f=0|this.words[c];this.words[c]=u<<26-a|f>>>a,u=f&s}return l&&0!==u&&(l.words[l.length++]=u),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n("number"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<<e;return!(this.length<=r)&&!!(this.words[r]&i)},a.prototype.imaskn=function(t){n("number"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,"imaskn works only with positive numbers"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<<e;this.words[this.length-1]&=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n("number"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},a.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n("number"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},a.prototype.addn=function(t){return this.clone().iaddn(t)},a.prototype.subn=function(t){return this.clone().isubn(t)},a.prototype.iabs=function(){return this.negative=0,this},a.prototype.abs=function(){return this.clone().iabs()},a.prototype._ishlnsubmul=function(t,e,r){var i,a,o=t.length+r;this._expand(o);var s=0;for(i=0;i<t.length;i++){a=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;s=((a-=67108863&l)>>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i<this.length-r;i++)s=(a=(0|this.words[i+r])+s)>>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i<this.length;i++)s=(a=-(0|this.words[i])+s)>>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!==(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if("mod"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var c=0;c<s.length;c++)s.words[c]=0}var u=n.clone()._ishlnsubmul(i,1,l);0===u.negative&&(n=u,s&&(s.words[l]=1));for(var f=l-1;f>=0;f--){var h=67108864*(0|n.words[i.length+f])+(0|n.words[i.length+f-1]);for(h=Math.min(h/o|0,67108863),n._ishlnsubmul(i,h,f);0!==n.negative;)h--,n.negative=0,n._ishlnsubmul(i,1,f),n.isZero()||(n.negative^=1);s&&(s.words[f]=h)}return s&&s.strip(),n.strip(),"div"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),"mod"!==e&&(i=s.div.neg()),"div"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),"mod"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),"div"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?"div"===e?{div:this.divn(t.words[0]),mod:null}:"mod"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,"div",!1).div},a.prototype.mod=function(t){return this.divmod(t,"mod",!1).mod},a.prototype.umod=function(t){return this.divmod(t,"mod",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),c=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++c;for(var u=r.clone(),f=e.clone();!e.isZero();){for(var h=0,p=1;0==(e.words[0]&p)&&h<26;++h,p<<=1);if(h>0)for(e.iushrn(h);h-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(u),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,m=1;0==(r.words[0]&m)&&d<26;++d,m<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(u),l.isub(f)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(c)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var c=0,u=1;0==(e.words[0]&u)&&c<26;++c,u<<=1);if(c>0)for(e.iushrn(c);c-- 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this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&&o<this.length;o++){var s=0|this.words[o];a=(s+=a)>>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,"Number is too big");var i=0|this.words[0];e=i===t?0:i<t?-1:1}return 0!==this.negative?0|-e:e},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},a.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n<i?e=-1:n>i&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new T(t)},a.prototype.toRed=function(t){return n(!this.red,"Already a number in reduction context"),n(0===this.negative,"red works only with positives"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,"fromRed works only with numbers in reduction context"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,"Already a number in reduction 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0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},i(b,y),i(_,y),i(w,y),w.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,i=67108863&n;n>>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(v[t])return v[t];var e;if("k256"===t)e=new x;else if("p224"===t)e=new b;else if("p192"===t)e=new _;else{if("p25519"!==t)throw new Error("Unknown prime "+t);e=new w}return v[t]=e,e},T.prototype._verify1=function(t){n(0===t.negative,"red works only with positives"),n(t.red,"red works only with red numbers")},T.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),"red works only with positives"),n(t.red&&t.red===e.red,"red works only with red numbers")},T.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},T.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},T.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},T.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},T.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},T.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},T.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},T.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},T.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},T.prototype.isqr=function(t){return this.imul(t,t.clone())},T.prototype.sqr=function(t){return this.mul(t,t)},T.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return this.pow(t,r)}for(var i=this.m.subn(1),o=0;!i.isZero()&&0===i.andln(1);)o++,i.iushrn(1);n(!i.isZero());var s=new a(1).toRed(this),l=s.redNeg(),c=this.m.subn(1).iushrn(1),u=this.m.bitLength();for(u=new a(2*u*u).toRed(this);0!==this.pow(u,c).cmp(l);)u.redIAdd(l);for(var f=this.pow(u,i),h=this.pow(t,i.addn(1).iushrn(1)),p=this.pow(t,i),d=o;0!==p.cmp(s);){for(var m=p,g=0;0!==m.cmp(s);g++)m=m.redSqr();n(g<d);var v=this.pow(f,new a(1).iushln(d-g-1));h=h.redMul(v),f=v.redSqr(),p=p.redMul(f),d=g}return h},T.prototype.invm=function(t){var e=t._invmp(this.m);return 0!==e.negative?(e.negative=0,this.imod(e).redNeg()):this.imod(e)},T.prototype.pow=function(t,e){if(e.isZero())return new a(1).toRed(this);if(0===e.cmpn(1))return t.clone();var r=new Array(16);r[0]=new a(1).toRed(this),r[1]=t;for(var n=2;n<r.length;n++)r[n]=this.mul(r[n-1],t);var i=r[0],o=0,s=0,l=e.bitLength()%26;for(0===l&&(l=26),n=e.length-1;n>=0;n--){for(var c=e.words[n],u=l-1;u>=0;u--){var f=c>>u&1;i!==r[0]&&(i=this.sqr(i)),0!==f||0!==o?(o<<=1,o|=f,(4===++s||0===n&&0===u)&&(i=this.mul(i,r[o]),s=0,o=0)):s=0}l=26}return i},T.prototype.convertTo=function(t){var e=t.umod(this.m);return e===t?e.clone():e},T.prototype.convertFrom=function(t){var e=t.clone();return e.red=null,e},a.mont=function(t){return new k(t)},i(k,T),k.prototype.convertTo=function(t){return this.imod(t.ushln(this.shift))},k.prototype.convertFrom=function(t){var e=this.imod(t.mul(this.rinv));return e.red=null,e},k.prototype.imul=function(t,e){if(t.isZero()||e.isZero())return t.words[0]=0,t.length=1,t;var r=t.imul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),a=i;return i.cmp(this.m)>=0?a=i.isub(this.m):i.cmpn(0)<0&&(a=i.iadd(this.m)),a._forceRed(this)},k.prototype.mul=function(t,e){if(t.isZero()||e.isZero())return new a(0)._forceRed(this);var 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r=0;r<t;++r)if(!(e[r]<=e[r+t]))return!0;return!1}function l(t,e,r,n){for(var i=0,a=0,o=0,l=t.length;o<l;++o){var c=t[o];if(!s(e,c)){for(var u=0;u<2*e;++u)r[i++]=c[u];n[a++]=o}}return a}function c(t,e,r,n){var s=t.length,c=e.length;if(!(s<=0||c<=0)){var u=t[0].length>>>1;if(!(u<=0)){var f,h=i.mallocDouble(2*u*s),p=i.mallocInt32(s);if((s=l(t,u,h,p))>0){if(1===u&&n)a.init(s),f=a.sweepComplete(u,r,0,s,h,p,0,s,h,p);else{var d=i.mallocDouble(2*u*c),m=i.mallocInt32(c);(c=l(e,u,d,m))>0&&(a.init(s+c),f=1===u?a.sweepBipartite(u,r,0,s,h,p,0,c,d,m):o(u,r,n,s,h,p,c,d,m),i.free(d),i.free(m))}i.free(h),i.free(p)}return f}}}function u(t,e){n.push([t,e])}function f(t){return n=[],c(t,t,u,!0),n}function h(t,e){return n=[],c(t,e,u,!1),n}},{"./lib/intersect":37,"./lib/sweep":41,"typedarray-pool":308}],36:[function(t,e,r){"use strict";function n(t){return t?function(t,e,r,n,i,a,o,s,l,c,u){return i-n>l-s?function(t,e,r,n,i,a,o,s,l,c,u){for(var f=2*t,h=n,p=f*n;h<i;++h,p+=f){var 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f=e[e.length-2];f.left===r?f.left=null:f.right===r&&(f.right=null),e.pop();for(l=0;l<e.length;++l)e[l]._count--;return new s(this.tree._compare,e[0])}if(r.left||r.right){r.left?d(r,r.left):r.right&&d(r,r.right),r._color=1;for(l=0;l<e.length-1;++l)e[l]._count--;return new s(this.tree._compare,e[0])}if(1===e.length)return new s(this.tree._compare,null);for(l=0;l<e.length;++l)e[l]._count--;var h=e[e.length-2];return function(t){for(var e,r,n,s,l=t.length-1;l>=0;--l){if(e=t[l],0===l)return void(e._color=1);if((r=t[l-1]).left===e){if((n=r.right).right&&0===n.right._color){if(s=(n=r.right=i(n)).right=i(n.right),r.right=n.left,n.left=r,n.right=s,n._color=r._color,e._color=1,r._color=1,s._color=1,o(r),o(n),l>1)(c=t[l-2]).left===r?c.left=n:c.right=n;return void(t[l-1]=n)}if(n.left&&0===n.left._color){if(s=(n=r.right=i(n)).left=i(n.left),r.right=s.left,n.left=s.right,s.left=r,s.right=n,s._color=r._color,r._color=1,n._color=1,e._color=1,o(r),o(n),o(s),l>1)(c=t[l-2]).left===r?c.left=s:c.right=s;return void(t[l-1]=s)}if(1===n._color){if(0===r._color)return r._color=1,void(r.right=a(0,n));r.right=a(0,n);continue}n=i(n),r.right=n.left,n.left=r,n._color=r._color,r._color=0,o(r),o(n),l>1&&((c=t[l-2]).left===r?c.left=n:c.right=n),t[l-1]=n,t[l]=r,l+1<t.length?t[l+1]=e:t.push(e),l+=2}else{if((n=r.left).left&&0===n.left._color){if(s=(n=r.left=i(n)).left=i(n.left),r.left=n.right,n.right=r,n.left=s,n._color=r._color,e._color=1,r._color=1,s._color=1,o(r),o(n),l>1)(c=t[l-2]).right===r?c.right=n:c.left=n;return void(t[l-1]=n)}if(n.right&&0===n.right._color){if(s=(n=r.left=i(n)).right=i(n.right),r.left=s.right,n.right=s.left,s.right=r,s.left=n,s._color=r._color,r._color=1,n._color=1,e._color=1,o(r),o(n),o(s),l>1)(c=t[l-2]).right===r?c.right=s:c.left=s;return void(t[l-1]=s)}if(1===n._color){if(0===r._color)return r._color=1,void(r.left=a(0,n));r.left=a(0,n);continue}var c;n=i(n),r.left=n.right,n.right=r,n._color=r._color,r._color=0,o(r),o(n),l>1&&((c=t[l-2]).right===r?c.right=n:c.left=n),t[l-1]=n,t[l]=r,l+1<t.length?t[l+1]=e:t.push(e),l+=2}}}(e),h.left===r?h.left=null:h.right=null,new s(this.tree._compare,e[0])},Object.defineProperty(p,"key",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(p,"value",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(p,"index",{get:function(){var t=0,e=this._stack;if(0===e.length){var r=this.tree.root;return r?r._count:0}e[e.length-1].left&&(t=e[e.length-1].left._count);for(var n=e.length-2;n>=0;--n)e[n+1]===e[n].right&&(++t,e[n].left&&(t+=e[n].left._count));return t},enumerable:!0}),p.next=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.right)for(e=e.right;e;)t.push(e),e=e.left;else for(t.pop();t.length>0&&t[t.length-1].right===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(p,"hasNext",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].right)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].left===t[e])return!0;return!1}}),p.update=function(t){var e=this._stack;if(0===e.length)throw new Error("Can't update empty node!");var r=new Array(e.length),i=e[e.length-1];r[r.length-1]=new n(i._color,i.key,t,i.left,i.right,i._count);for(var a=e.length-2;a>=0;--a)(i=e[a]).left===e[a+1]?r[a]=new n(i._color,i.key,i.value,r[a+1],i.right,i._count):r[a]=new n(i._color,i.key,i.value,i.left,r[a+1],i._count);return new s(this.tree._compare,r[0])},p.prev=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.left)for(e=e.left;e;)t.push(e),e=e.right;else for(t.pop();t.length>0&&t[t.length-1].left===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(p,"hasPrev",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].left)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].right===t[e])return!0;return!1}})},{}],70:[function(t,e,r){"use strict";e.exports=function(t,e){var r=new u(t);return r.update(e),r};var n=t("./lib/text.js"),i=t("./lib/lines.js"),a=t("./lib/background.js"),o=t("./lib/cube.js"),s=t("./lib/ticks.js"),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]);function c(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function u(t){this.gl=t,this.pixelRatio=1,this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.autoTicks=!0,this.tickSpacing=[1,1,1],this.tickEnable=[!0,!0,!0],this.tickFont=["sans-serif","sans-serif","sans-serif"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickAlign=["auto","auto","auto"],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[10,10,10],this.lastCubeProps={cubeEdges:[0,0,0],axis:[0,0,0]},this.labels=["x","y","z"],this.labelEnable=[!0,!0,!0],this.labelFont="sans-serif",this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelAlign=["auto","auto","auto"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[10,10,10],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[0,0,0],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!1,!1,!1],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._firstInit=!0,this._text=null,this._lines=null,this._background=a(t)}var f=u.prototype;function h(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}f.update=function(t){function e(e,r,n){if(n in t){var i,a=t[n],o=this[n];(e?Array.isArray(a)&&Array.isArray(a[0]):Array.isArray(a))?this[n]=i=[r(a[0]),r(a[1]),r(a[2])]:this[n]=i=[r(a),r(a),r(a)];for(var s=0;s<3;++s)if(i[s]!==o[s])return!0}return!1}t=t||{};var r,a=e.bind(this,!1,Number),o=e.bind(this,!1,Boolean),l=e.bind(this,!1,String),c=e.bind(this,!0,(function(t){if(Array.isArray(t)){if(3===t.length)return[+t[0],+t[1],+t[2],1];if(4===t.length)return[+t[0],+t[1],+t[2],+t[3]]}return[0,0,0,1]})),u=!1,f=!1;if("bounds"in t)for(var h=t.bounds,p=0;p<2;++p)for(var d=0;d<3;++d)h[p][d]!==this.bounds[p][d]&&(f=!0),this.bounds[p][d]=h[p][d];if("ticks"in t){r=t.ticks,u=!0,this.autoTicks=!1;for(p=0;p<3;++p)this.tickSpacing[p]=0}else a("tickSpacing")&&(this.autoTicks=!0,f=!0);if(this._firstInit&&("ticks"in t||"tickSpacing"in t||(this.autoTicks=!0),f=!0,u=!0,this._firstInit=!1),f&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),u=!0),u){for(p=0;p<3;++p)r[p].sort((function(t,e){return t.x-e.x}));s.equal(r,this.ticks)?u=!1:this.ticks=r}o("tickEnable"),l("tickFont")&&(u=!0),a("tickSize"),a("tickAngle"),a("tickPad"),c("tickColor");var m=l("labels");l("labelFont")&&(m=!0),o("labelEnable"),a("labelSize"),a("labelPad"),c("labelColor"),o("lineEnable"),o("lineMirror"),a("lineWidth"),c("lineColor"),o("lineTickEnable"),o("lineTickMirror"),a("lineTickLength"),a("lineTickWidth"),c("lineTickColor"),o("gridEnable"),a("gridWidth"),c("gridColor"),o("zeroEnable"),c("zeroLineColor"),a("zeroLineWidth"),o("backgroundEnable"),c("backgroundColor"),this._text?this._text&&(m||u)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&u&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var p=[new h,new h,new h];function d(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,c=n[e],u=0;u<3;++u)if(e!==u){var f=a,h=s,p=o,d=l;c&1<<u&&(f=s,h=a,p=l,d=o),f[u]=r[0][u],h[u]=r[1][u],i[u]>0?(p[u]=-1,d[u]=0):(p[u]=0,d[u]=1)}}var m=[0,0,0],g={model:l,view:l,projection:l,_ortho:!1};f.isOpaque=function(){return!0},f.isTransparent=function(){return!1},f.drawTransparent=function(t){};var v=[0,0,0],y=[0,0,0],x=[0,0,0];f.draw=function(t){t=t||g;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,u=o(r,n,i,a,s),f=u.cubeEdges,h=u.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*b+i[7]*_+i[11]*w+i[15]*T)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=f[A],this.lastCubeProps.axis[A]=h[A];var M=p;for(A=0;A<3;++A)d(p[A],A,this.bounds,f,h);e=this.gl;var S,E=m;for(A=0;A<3;++A)this.backgroundEnable[A]?E[A]=h[A]:E[A]=0;this._background.draw(r,n,i,a,E,this.backgroundColor),this._lines.bind(r,n,i,this);for(A=0;A<3;++A){var L=[0,0,0];h[A]>0?L[A]=a[1][A]:L[A]=a[0][A];for(var C=0;C<2;++C){var P=(A+1+C)%3,I=(A+1+(1^C))%3;this.gridEnable[P]&&this._lines.drawGrid(P,I,this.bounds,L,this.gridColor[P],this.gridWidth[P]*this.pixelRatio)}for(C=0;C<2;++C){P=(A+1+C)%3,I=(A+1+(1^C))%3;this.zeroEnable[I]&&Math.min(a[0][I],a[1][I])<=0&&Math.max(a[0][I],a[1][I])>=0&&this._lines.drawZero(P,I,this.bounds,L,this.zeroLineColor[I],this.zeroLineWidth[I]*this.pixelRatio)}}for(A=0;A<3;++A){this.lineEnable[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].primalOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio),this.lineMirror[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].mirrorOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio);var O=c(v,M[A].primalMinor),z=c(y,M[A].mirrorMinor),D=this.lineTickLength;for(C=0;C<3;++C){var R=k/r[5*C];O[C]*=D[C]*R,z[C]*=D[C]*R}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,O,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,z,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio);var F,B;function N(t){(B=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,H=c(x,M[A].primalOffset);for(C=0;C<3;++C)this.lineTickEnable[A]&&(H[C]+=k*U[C]*Math.max(this.lineTickLength[C],0)/r[5*C]);var q=[0,0,0];if(q[A]=1,this.tickEnable[A]){-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]="auto"):this.tickAlign[A]=-1,F=1,"auto"===(S=[this.tickAlign[A],.5,F])[0]?S[0]=0:S[0]=parseInt(""+S[0]),B=[0,0,0],j(A,U,V);for(C=0;C<3;++C)H[C]+=k*U[C]*this.tickPad[C]/r[5*C];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],H,this.tickColor[A],q,B,S)}if(this.labelEnable[A]){F=0,B=[0,0,0],this.labels[A].length>4&&(N(A),F=1),"auto"===(S=[this.labelAlign[A],.5,F])[0]?S[0]=0:S[0]=parseInt(""+S[0]);for(C=0;C<3;++C)H[C]+=k*U[C]*this.labelPad[C]/r[5*C];H[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],H,this.labelColor[A],[0,0,0],B,S)}}this._text.unbind()},f.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},{"./lib/background.js":71,"./lib/cube.js":72,"./lib/lines.js":73,"./lib/text.js":75,"./lib/ticks.js":76}],71:[function(t,e,r){"use strict";e.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var c=(l+1)%3,u=(l+2)%3,f=[0,0,0],h=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=p,h[l]=p;for(var d=-1;d<=1;d+=2){f[c]=d;for(var m=-1;m<=1;m+=2)f[u]=m,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var g=c;c=u,u=g}var v=n(t,new Float32Array(e)),y=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:v,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:v,type:t.FLOAT,size:3,offset:12,stride:24}],y),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,v,x,b)};var n=t("gl-buffer"),i=t("gl-vao"),a=t("./shaders").bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{"./shaders":74,"gl-buffer":78,"gl-vao":150}],72:[function(t,e,r){"use strict";e.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var y=0,x=0;x<2;++x){u[2]=a[x][2];for(var b=0;b<2;++b){u[1]=a[b][1];for(var _=0;_<2;++_)u[0]=a[_][0],h(l[y],u,s),y+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)c[x][k]=l[x][k]/T;p&&(c[x][2]*=-1),T<0&&(w<0||c[x][2]<c[w][2])&&(w=x)}if(w<0){w=0;for(var A=0;A<3;++A){for(var M=(A+2)%3,S=(A+1)%3,E=-1,L=-1,C=0;C<2;++C){var P=(O=C<<A)+(C<<M)+(1-C<<S),I=O+(1-C<<M)+(C<<S);o(c[O],c[P],c[I],f)<0||(C?E=1:L=1)}if(E<0||L<0)L>E&&(w|=1<<A);else{for(C=0;C<2;++C){P=(O=C<<A)+(C<<M)+(1-C<<S),I=O+(1-C<<M)+(C<<S);var 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e=0;e<p.length;++e)if((t=a.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],i=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],c=s[0]/s[3]-n,u=s[1]/s[3]-i,f=l[0]/l[3]-n,h=l[1]/l[3]-i;o+=Math.abs(c*h-u*f)}return o}var m=[1,1,1],g=[0,0,0],v={cubeEdges:m,axis:g}},{"bit-twiddle":32,"gl-mat4/multiply":100,"robust-orientation":284,"split-polygon":300}],73:[function(t,e,r){"use strict";e.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var f=0;f<3;++f){for(var h=o.length/3|0,d=0;d<r[f].length;++d){var m=+r[f][d].x;o.push(m,0,1,m,1,1,m,0,-1,m,0,-1,m,1,1,m,1,-1)}var g=o.length/3|0;s[f]=h,l[f]=g-h;h=o.length/3|0;for(var v=0;v<r[f].length;++v){m=+r[f][v].x;o.push(m,0,1,m,1,1,m,0,-1,m,0,-1,m,1,1,m,1,-1)}g=o.length/3|0;c[f]=h,u[f]=g-h}var y=n(t,new Float32Array(o)),x=i(t,[{buffer:y,type:t.FLOAT,size:3,stride:0,offset:0}]),b=a(t);return b.attributes.position.location=0,new p(t,y,x,b,l,s,u,c)};var n=t("gl-buffer"),i=t("gl-vao"),a=t("./shaders").line,o=[0,0,0],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[1,1];function f(t){return t[0]=t[1]=t[2]=0,t}function h(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,i,a,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=i,this.tickOffset=a,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,u[0]=this.gl.drawingBufferWidth,u[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=u,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,i){var a=f(s);this.shader.uniforms.majorAxis=s,a[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=a;var o,u=h(c,r);u[t]+=e[0][t],this.shader.uniforms.offset=u,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=n,(o=f(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=f(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,i){if(this.tickCount[t]){var a=f(o);a[t]=1,this.shader.uniforms.majorAxis=a,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=i;var s=f(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},d.drawGrid=function(t,e,r,n,i,a){if(this.gridCount[t]){var u=f(s);u[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=u;var p=h(c,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=f(o);d[t]=1,this.shader.uniforms.majorAxis=d;var m=f(l);m[t]=1,this.shader.uniforms.screenAxis=m,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,i,a){var o=f(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var u=h(c,n);u[t]+=r[0][t],this.shader.uniforms.offset=u;var p=f(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},{"./shaders":74,"gl-buffer":78,"gl-vao":150}],74:[function(t,e,r){"use strict";var n=t("glslify"),i=t("gl-shader"),a=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\n\nuniform mat4 model, view, projection;\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\nuniform float lineWidth;\nuniform vec2 screenShape;\n\nvec3 project(vec3 p) {\n  vec4 pp = projection * view * model * vec4(p, 1.0);\n  return pp.xyz / max(pp.w, 0.0001);\n}\n\nvoid main() {\n  vec3 major = position.x * majorAxis;\n  vec3 minor = position.y * minorAxis;\n\n  vec3 vPosition = major + minor + offset;\n  vec3 pPosition = project(vPosition);\n  vec3 offset = project(vPosition + screenAxis * position.z);\n\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\n\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\n}\n"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 color;\nvoid main() {\n  gl_FragColor = color;\n}"]);r.line=function(t){return i(t,a,o,null,[{name:"position",type:"vec3"}])};var s=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\n\nuniform mat4 model, view, projection;\nuniform vec3 offset, axis, alignDir, alignOpt;\nuniform float scale, angle, pixelScale;\nuniform vec2 resolution;\n\nvec3 project(vec3 p) {\n  vec4 pp = projection * view * model * vec4(p, 1.0);\n  return pp.xyz / max(pp.w, 0.0001);\n}\n\nfloat computeViewAngle(vec3 a, vec3 b) {\n  vec3 A = project(a);\n  vec3 B = project(b);\n\n  return atan(\n    (B.y - A.y) * resolution.y,\n    (B.x - A.x) * resolution.x\n  );\n}\n\nconst float PI = 3.141592;\nconst float TWO_PI = 2.0 * PI;\nconst float HALF_PI = 0.5 * PI;\nconst float ONE_AND_HALF_PI = 1.5 * PI;\n\nint option = int(floor(alignOpt.x + 0.001));\nfloat hv_ratio =       alignOpt.y;\nbool enableAlign =    (alignOpt.z != 0.0);\n\nfloat mod_angle(float a) {\n  return mod(a, PI);\n}\n\nfloat positive_angle(float a) {\n  return mod_angle((a < 0.0) ?\n    a + TWO_PI :\n    a\n  );\n}\n\nfloat look_upwards(float a) {\n  float b = positive_angle(a);\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\n    b - PI :\n    b;\n}\n\nfloat look_horizontal_or_vertical(float a, float ratio) {\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\n  // if ratio is set to 0.5 then it is 50%, 50%.\n  // when using a higher ratio e.g. 0.75 the result would\n  // likely be more horizontal than vertical.\n\n  float b = positive_angle(a);\n\n  return\n    (b < (      ratio) * HALF_PI) ? 0.0 :\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\n    (b < (4.0 - ratio) * HALF_PI) ? 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HALF_PI :\n                      computeViewAngle(dataPosition, dataPosition + axis);\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\n\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\n\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\n\n    beta += applyAlignOption(clipAngle, flip * PI);\n  }\n\n  //Compute plane offset\n  vec2 planeCoord = position.xy * pixelScale;\n\n  mat2 planeXform = scale * mat2(\n     cos(beta), sin(beta),\n    -sin(beta), cos(beta)\n  );\n\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\n\n  //Compute clip position\n  vec3 clipPosition = project(dataPosition);\n\n  //Apply text offset in clip coordinates\n  clipPosition += vec3(viewOffset, 0.0);\n\n  //Done\n  gl_Position = vec4(clipPosition, 1.0);\n}"]),l=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 color;\nvoid main() {\n  gl_FragColor = color;\n}"]);r.text=function(t){return i(t,s,l,null,[{name:"position",type:"vec3"}])};var c=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec3 normal;\n\nuniform mat4 model, view, projection;\nuniform vec3 enable;\nuniform vec3 bounds[2];\n\nvarying vec3 colorChannel;\n\nvoid main() {\n\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\n\n  vec3 realNormal = signAxis * normal;\n\n  if(dot(realNormal, enable) > 0.0) {\n    vec3 minRange = min(bounds[0], bounds[1]);\n    vec3 maxRange = max(bounds[0], bounds[1]);\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\n    gl_Position = projection * view * model * vec4(nPosition, 1.0);\n  } else {\n    gl_Position = vec4(0,0,0,0);\n  }\n\n  colorChannel = abs(realNormal);\n}"]),u=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 colors[3];\n\nvarying vec3 colorChannel;\n\nvoid main() {\n  gl_FragColor = colorChannel.x * colors[0] +\n                 colorChannel.y * colors[1] +\n                 colorChannel.z * colors[2];\n}"]);r.bg=function(t){return i(t,c,u,null,[{name:"position",type:"vec3"},{name:"normal",type:"vec3"}])}},{"gl-shader":132,glslify:231}],75:[function(t,e,r){(function(r){(function(){"use strict";e.exports=function(t,e,r,a,s,l){var u=n(t),f=i(t,[{buffer:u,size:3}]),h=o(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,a,s,l),p};var n=t("gl-buffer"),i=t("gl-vao"),a=t("vectorize-text"),o=t("./shaders").text,s=window||r.global||{},l=s.__TEXT_CACHE||{};s.__TEXT_CACHE={};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}var u=c.prototype,f=[0,0];u.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,f[0]=this.gl.drawingBufferWidth,f[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=f},u.unbind=function(){this.vao.unbind()},u.update=function(t,e,r,n,i){var o=[];function s(t,e,r,n,i,s){var c=l[r];c||(c=l[r]={});var u=c[e];u||(u=c[e]=function(t,e){try{return a(t,e)}catch(e){return console.warn('error vectorizing text:"'+t+'" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:"center",textBaseline:"middle",lineSpacing:i,styletags:s}));for(var f=(n||12)/12,h=u.positions,p=u.cells,d=0,m=p.length;d<m;++d)for(var g=p[d],v=2;v>=0;--v){var y=h[g[v]];o.push(f*y[0],-f*y[1],t)}}for(var c=[0,0,0],u=[0,0,0],f=[0,0,0],h=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){f[d]=o.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),h[d]=(o.length/3|0)-f[d],c[d]=o.length/3|0;for(var m=0;m<n[d].length;++m)n[d][m].text&&s(n[d][m].x,n[d][m].text,n[d][m].font||i,n[d][m].fontSize||12,1.25,p);u[d]=(o.length/3|0)-c[d]}this.buffer.update(o),this.tickOffset=c,this.tickCount=u,this.labelOffset=f,this.labelCount=h},u.drawTicks=function(t,e,r,n,i,a,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},u.drawLabel=function(t,e,r,n,i,a,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},u.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}}).call(this)}).call(this,t("_process"))},{"./shaders":74,_process:5,"gl-buffer":78,"gl-vao":150,"vectorize-text":311}],76:[function(t,e,r){"use strict";function n(t,e){var r=t+"",n=r.indexOf("."),i=0;n>=0&&(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*a),s=o+"";if(s.indexOf("e")>=0)return s;var l=o/a,c=o%a;o<0?(l=0|-Math.ceil(l),c=0|-c):(l=0|Math.floor(l),c|=0);var u=""+l;if(o<0&&(u="-"+u),i){for(var f=""+c;f.length<i;)f="0"+f;return u+"."+f}return u}r.create=function(t,e){for(var r=[],i=0;i<3;++i){for(var a=[],o=(t[0][i],t[1][i],0);o*e[i]<=t[1][i];++o)a.push({x:o*e[i],text:n(e[i],o)});for(o=-1;o*e[i]>=t[0][i];--o)a.push({x:o*e[i],text:n(e[i],o)});r.push(a)}return r},r.equal=function(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;++n){var i=t[r][n],a=e[r][n];if(i.x!==a.x||i.text!==a.text||i.font!==a.font||i.fontColor!==a.fontColor||i.fontSize!==a.fontSize||i.dx!==a.dx||i.dy!==a.dy)return!1}}return!0}},{}],77:[function(t,e,r){"use strict";e.exports=function(t,e,r,l,f){var h=e.model||c,p=e.view||c,v=e.projection||c,y=e._ortho||!1,x=t.bounds,b=(f=f||a(h,p,v,x,y)).axis;o(u,p,h),o(u,v,u);for(var _=m,w=0;w<3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var T=n(s(u,u));s(u,u);for(var k=0;k<3;++k){var A=(k+1)%3,M=(k+2)%3,S=g;t:for(w=0;w<2;++w){var E=[];if(b[k]<0!=!!w){S[k]=x[w][k];for(var L=0;L<2;++L){S[A]=x[L^w][A];for(var C=0;C<2;++C)S[M]=x[C^L^w][M],E.push(S.slice())}var P=y?5:4;for(L=P;L===P;++L){if(0===E.length)continue t;E=i.positive(E,T[L])}for(L=0;L<E.length;++L){M=E[L];var I=d(g,u,M,r,l);for(C=0;C<3;++C)_[C].lo=Math.min(_[C].lo,M[C]),_[C].hi=Math.max(_[C].hi,M[C]),C!==k&&(_[C].pixelsPerDataUnit=Math.min(_[C].pixelsPerDataUnit,Math.abs(I[C])))}}}}return _};var n=t("extract-frustum-planes"),i=t("split-polygon"),a=t("./lib/cube.js"),o=t("gl-mat4/multiply"),s=t("gl-mat4/transpose"),l=t("gl-vec4/transformMat4"),c=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),u=new Float32Array(16);function f(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var h=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,i){for(var a=0;a<3;++a){for(var o=h,s=p,c=0;c<3;++c)s[c]=o[c]=r[c];s[3]=o[3]=1,s[a]+=1,l(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,l(o,o,e),o[3]<0&&(t[a]=1/0);var u=(o[0]/o[3]-s[0]/s[3])*n,f=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(u*u+f*f)}return t}var m=[new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0)],g=[0,0,0]},{"./lib/cube.js":72,"extract-frustum-planes":67,"gl-mat4/multiply":100,"gl-mat4/transpose":109,"gl-vec4/transformMat4":221,"split-polygon":300}],78:[function(t,e,r){"use strict";var n=t("typedarray-pool"),i=t("ndarray-ops"),a=t("ndarray"),o=["uint8","uint8_clamped","uint16","uint32","int8","int16","int32","float32"];function s(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}var l=s.prototype;function c(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a<0)return t.bufferData(e,i,n),o;if(o+a>r)throw new Error("gl-buffer: If resizing buffer, must not specify offset");return t.bufferSubData(e,a,i),r}function u(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a<i;++a)r[a]=t[a];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if("number"!=typeof e&&(e=-1),this.bind(),"object"==typeof t&&void 0!==t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r="float32"),this.type===this.gl.ELEMENT_ARRAY_BUFFER)r=gl.getExtension("OES_element_index_uint")&&"uint16"!==r?"uint32":"uint16";if(r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=c(this.gl,this.type,this.length,this.usage,t.data,e):this.length=c(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=c(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?u(t,"uint16"):u(t,"float32"),this.length=c(this.gl,this.type,this.length,this.usage,e<0?f:f.subarray(0,t.length),e),n.free(f)}else if("object"==typeof t&&"number"==typeof t.length)this.length=c(this.gl,this.type,this.length,this.usage,t,e);else{if("number"!=typeof t&&void 0!==t)throw new Error("gl-buffer: Invalid data type");if(e>=0)throw new Error("gl-buffer: Cannot specify offset when resizing buffer");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},e.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error("gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error("gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW");var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},{ndarray:259,"ndarray-ops":254,"typedarray-pool":308}],79:[function(t,e,r){"use strict";var n=t("gl-vec3");e.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,c=1/0,u=-1/0,f=1/0,h=-1/0,p=null,d=null,m=[],g=1/0,v=!1,y=0;y<r.length;y++){var x=r[y];s=Math.min(x[0],s),l=Math.max(x[0],l),c=Math.min(x[1],c),u=Math.max(x[1],u),f=Math.min(x[2],f),h=Math.max(x[2],h);var b=i[y];if(n.length(b)>o&&(o=n.length(b)),y){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(g=Math.min(g,_),v=!1):v=!0}v||(p=x,d=b),m.push(b)}var w=[s,c,f],T=[l,u,h];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var k=1/o;isFinite(g)||(g=1),a.vectorScale=g;var A=t.coneSize||.5;t.absoluteConeSize&&(A=t.absoluteConeSize*k),a.coneScale=A;y=0;for(var M=0;y<r.length;y++)for(var S=(x=r[y])[0],E=x[1],L=x[2],C=m[y],P=n.length(C)*k,I=0;I<8;I++){a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vertexIntensity.push(P,P,P),a.vertexIntensity.push(P,P,P);var O=a.positions.length;a.cells.push([O-6,O-5,O-4],[O-3,O-2,O-1])}return a};var i=t("./lib/shaders");e.exports.createMesh=t("./create_mesh"),e.exports.createConeMesh=function(t,r){return e.exports.createMesh(t,r,{shaders:i,traceType:"cone"})}},{"./create_mesh":80,"./lib/shaders":81,"gl-vec3":169}],80:[function(t,e,r){"use strict";var n=t("gl-shader"),i=t("gl-buffer"),a=t("gl-vao"),o=t("gl-texture2d"),s=t("gl-mat4/multiply"),l=t("gl-mat4/invert"),c=t("ndarray"),u=t("colormap"),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e,r,n,i,a,o,s,l,c,u){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=i,this.triangleVectors=a,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=c,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=u,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=f,this._view=f,this._projection=f,this._resolution=[1,1]}var p=h.prototype;function d(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}function m(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,"lightPosition"in t&&(this.lightPosition=t.lightPosition),"opacity"in t&&(this.opacity=t.opacity),"ambient"in t&&(this.ambientLight=t.ambient),"diffuse"in t&&(this.diffuseLight=t.diffuse),"specular"in t&&(this.specularLight=t.specular),"roughness"in t&&(this.roughness=t.roughness),"fresnel"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=u({colormap:t,nshades:256,format:"rgba"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return c(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],f=[];this.cells=r,this.positions=n,this.vectors=i;var h=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,m=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],m=+t.vertexIntensityBounds[1];else for(var g=0;g<p.length;++g){var v=p[g];d=Math.min(d,v),m=Math.max(m,v)}else for(g=0;g<n.length;++g){v=n[g][2];d=Math.min(d,v),m=Math.max(m,v)}this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(g=0;g<n.length;++g)for(var y=n[g],x=0;x<3;++x)!isNaN(y[x])&&isFinite(y[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],y[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],y[x]));var b=0;t:for(g=0;g<r.length;++g){var _=r[g];switch(_.length){case 3:for(x=0;x<3;++x){y=n[T=_[x]];for(var w=0;w<3;++w)if(isNaN(y[w])||!isFinite(y[w]))continue t}for(x=0;x<3;++x){var T;y=n[T=_[2-x]];a.push(y[0],y[1],y[2],y[3]);var k=i[T];o.push(k[0],k[1],k[2],k[3]||0);var A,M=h;3===M.length?s.push(M[0],M[1],M[2],1):s.push(M[0],M[1],M[2],M[3]),A=p?[(p[T]-d)/(m-d),0]:[(y[2]-d)/(m-d),0],l.push(A[0],A[1]),f.push(g)}b+=1}}this.triangleCount=b,this.trianglePositions.update(a),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(f))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var c={model:r,view:n,projection:i,inverseModel:f.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};c.inverseModel=l(c.inverseModel,c.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);s(u,c.view,c.model),s(u,c.projection,u),l(u,u);for(o=0;o<3;++o)c.eyePosition[o]=u[12+o]/u[15];var h=u[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];c.lightPosition[o]=p/h}if(this.triangleCount>0){var m=this.triShader;m.bind(),m.uniforms=c,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return"cone"===this.traceType?i.index=Math.floor(r[1]/48):"streamtube"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},e.exports=function(t,e,r){var n=r.shaders;1===arguments.length&&(t=(e=t).gl);var s=d(t,n),l=m(t,n),u=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));u.generateMipmap(),u.minFilter=t.LINEAR_MIPMAP_LINEAR,u.magFilter=t.LINEAR;var f=i(t),p=i(t),g=i(t),v=i(t),y=i(t),x=a(t,[{buffer:f,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:g,type:t.FLOAT,size:4},{buffer:v,type:t.FLOAT,size:2},{buffer:p,type:t.FLOAT,size:4}]),b=new h(t,u,s,l,f,p,y,g,v,x,r.traceType||"cone");return b.update(e),b}},{colormap:53,"gl-buffer":78,"gl-mat4/invert":98,"gl-mat4/multiply":100,"gl-shader":132,"gl-texture2d":146,"gl-vao":150,ndarray:259}],81:[function(t,e,r){var n=t("glslify"),i=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n  // Return up-vector for only-z vector.\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n  // Assign z = 0, x = -b, y = a:\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n    return normalize(vec3(-v.y, v.x, 0.0));\n  } else {\n    return normalize(vec3(0.0, v.z, -v.y));\n  }\n}\n\n// Calculate the cone vertex and normal at the given index.\n//\n// The returned vertex is for a cone with its top at origin and height of 1.0,\n// pointing in the direction of the vector attribute.\n//\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\n// These vertices are used to make up the triangles of the cone by the following:\n//   segment + 0 top vertex\n//   segment + 1 perimeter vertex a+1\n//   segment + 2 perimeter vertex a\n//   segment + 3 center base vertex\n//   segment + 4 perimeter vertex a\n//   segment + 5 perimeter vertex a+1\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\n// To go from index to segment, floor(index / 6)\n// To go from segment to angle, 2*pi * (segment/segmentCount)\n// To go from index to segment index, index - (segment*6)\n//\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\n\n  const float segmentCount = 8.0;\n\n  float index = rawIndex - floor(rawIndex /\n    (segmentCount * 6.0)) *\n    (segmentCount * 6.0);\n\n  float segment = floor(0.001 + index/6.0);\n  float segmentIndex = index - (segment*6.0);\n\n  normal = -normalize(d);\n\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\n    return mix(vec3(0.0), -d, coneOffset);\n  }\n\n  float nextAngle = (\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\n  ) ? 1.0 : 0.0;\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\n\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\n  vec3 v2 = v1 - d;\n\n  vec3 u = getOrthogonalVector(d);\n  vec3 v = normalize(cross(u, d));\n\n  vec3 x = u * cos(angle) * length(d)*0.25;\n  vec3 y = v * sin(angle) * length(d)*0.25;\n  vec3 v3 = v2 + x + y;\n  if (segmentIndex < 3.0) {\n    vec3 tx = u * sin(angle);\n    vec3 ty = v * -cos(angle);\n    vec3 tangent = tx + ty;\n    normal = normalize(cross(v3 - v1, tangent));\n  }\n\n  if (segmentIndex == 0.0) {\n    return mix(d, vec3(0.0), coneOffset);\n  }\n  return v3;\n}\n\nattribute vec3 vector;\nattribute vec4 color, position;\nattribute vec2 uv;\n\nuniform float vectorScale, coneScale, coneOffset;\nuniform mat4 model, view, projection, inverseModel;\nuniform vec3 eyePosition, lightPosition;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  // Scale the vector magnitude to stay constant with\n  // model & view changes.\n  vec3 normal;\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n  //Lighting geometry parameters\n  vec4 cameraCoordinate = view * conePosition;\n  cameraCoordinate.xyz /= cameraCoordinate.w;\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\n  vec4 t_position  = view * conePosition;\n  gl_Position      = projection * t_position;\n\n  f_color          = color;\n  f_data           = conePosition.xyz;\n  f_position       = position.xyz;\n  f_uv             = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n  float NdotH = max(x, 0.0001);\n  float cos2Alpha = NdotH * NdotH;\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n  float roughness2 = roughness * roughness;\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n  return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n  vec3 lightDirection,\n  vec3 viewDirection,\n  vec3 surfaceNormal,\n  float roughness,\n  float fresnel) {\n\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n  //Half angle vector\n  vec3 H = normalize(lightDirection + viewDirection);\n\n  //Geometric term\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\n  float VdotH = max(dot(viewDirection, H), 0.000001);\n  float LdotH = max(dot(lightDirection, H), 0.000001);\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\n  float G = min(1.0, min(G1, G2));\n  \n  //Distribution term\n  float D = beckmannDistribution(NdotH, roughness);\n\n  //Fresnel term\n  float F = pow(1.0 - VdotN, fresnel);\n\n  //Multiply terms and done\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform sampler2D texture;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n  vec3 N = normalize(f_normal);\n  vec3 L = normalize(f_lightDirection);\n  vec3 V = normalize(f_eyeDirection);\n\n  if(gl_FrontFacing) {\n    N = -N;\n  }\n\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n\n  gl_FragColor = litColor * opacity;\n}\n"]),o=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n  // Return up-vector for only-z vector.\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n  // Assign z = 0, x = -b, y = a:\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n    return normalize(vec3(-v.y, v.x, 0.0));\n  } else {\n    return normalize(vec3(0.0, v.z, -v.y));\n  }\n}\n\n// Calculate the cone vertex and normal at the given index.\n//\n// The returned vertex is for a cone with its top at origin and height of 1.0,\n// pointing in the direction of the vector attribute.\n//\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\n// These vertices are used to make up the triangles of the cone by the following:\n//   segment + 0 top vertex\n//   segment + 1 perimeter vertex a+1\n//   segment + 2 perimeter vertex a\n//   segment + 3 center base vertex\n//   segment + 4 perimeter vertex a\n//   segment + 5 perimeter vertex a+1\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\n// To go from index to segment, floor(index / 6)\n// To go from segment to angle, 2*pi * (segment/segmentCount)\n// To go from index to segment index, index - (segment*6)\n//\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\n\n  const float segmentCount = 8.0;\n\n  float index = rawIndex - floor(rawIndex /\n    (segmentCount * 6.0)) *\n    (segmentCount * 6.0);\n\n  float segment = floor(0.001 + index/6.0);\n  float segmentIndex = index - (segment*6.0);\n\n  normal = -normalize(d);\n\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\n    return mix(vec3(0.0), -d, coneOffset);\n  }\n\n  float nextAngle = (\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\n  ) ? 1.0 : 0.0;\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\n\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\n  vec3 v2 = v1 - d;\n\n  vec3 u = getOrthogonalVector(d);\n  vec3 v = normalize(cross(u, d));\n\n  vec3 x = u * cos(angle) * length(d)*0.25;\n  vec3 y = v * sin(angle) * length(d)*0.25;\n  vec3 v3 = v2 + x + y;\n  if (segmentIndex < 3.0) {\n    vec3 tx = u * sin(angle);\n    vec3 ty = v * -cos(angle);\n    vec3 tangent = tx + ty;\n    normal = normalize(cross(v3 - v1, tangent));\n  }\n\n  if (segmentIndex == 0.0) {\n    return mix(d, vec3(0.0), coneOffset);\n  }\n  return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform float vectorScale, coneScale, coneOffset;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  vec3 normal;\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n  gl_Position = projection * view * conePosition;\n  f_id        = id;\n  f_position  = position.xyz;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3  clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n  gl_FragColor = vec4(pickId, f_id.xyz);\n}"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec4"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"vector",type:"vec3"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec4"},{name:"id",type:"vec4"},{name:"vector",type:"vec3"}]}},{glslify:231}],82:[function(t,e,r){e.exports={0:"NONE",1:"ONE",2:"LINE_LOOP",3:"LINE_STRIP",4:"TRIANGLES",5:"TRIANGLE_STRIP",6:"TRIANGLE_FAN",256:"DEPTH_BUFFER_BIT",512:"NEVER",513:"LESS",514:"EQUAL",515:"LEQUAL",516:"GREATER",517:"NOTEQUAL",518:"GEQUAL",519:"ALWAYS",768:"SRC_COLOR",769:"ONE_MINUS_SRC_COLOR",770:"SRC_ALPHA",771:"ONE_MINUS_SRC_ALPHA",772:"DST_ALPHA",773:"ONE_MINUS_DST_ALPHA",774:"DST_COLOR",775:"ONE_MINUS_DST_COLOR",776:"SRC_ALPHA_SATURATE",1024:"STENCIL_BUFFER_BIT",1028:"FRONT",1029:"BACK",1032:"FRONT_AND_BACK",1280:"INVALID_ENUM",1281:"INVALID_VALUE",1282:"INVALID_OPERATION",1285:"OUT_OF_MEMORY",1286:"INVALID_FRAMEBUFFER_OPERATION",2304:"CW",2305:"CCW",2849:"LINE_WIDTH",2884:"CULL_FACE",2885:"CULL_FACE_MODE",2886:"FRONT_FACE",2928:"DEPTH_RANGE",2929:"DEPTH_TEST",2930:"DEPTH_WRITEMASK",2931:"DEPTH_CLEAR_VALUE",2932:"DEPTH_FUNC",2960:"STENCIL_TEST",2961:"STENCIL_CLEAR_VALUE",2962:"STENCIL_FUNC",2963:"STENCIL_VALUE_MASK",2964:"STENCIL_FAIL",2965:"STENCIL_PASS_DEPTH_FAIL",2966:"STENCIL_PASS_DEPTH_PASS",2967:"STENCIL_REF",2968:"STENCIL_WRITEMASK",2978:"VIEWPORT",3024:"DITHER",3042:"BLEND",3088:"SCISSOR_BOX",3089:"SCISSOR_TEST",3106:"COLOR_CLEAR_VALUE",3107:"COLOR_WRITEMASK",3317:"UNPACK_ALIGNMENT",3333:"PACK_ALIGNMENT",3379:"MAX_TEXTURE_SIZE",3386:"MAX_VIEWPORT_DIMS",3408:"SUBPIXEL_BITS",3410:"RED_BITS",3411:"GREEN_BITS",3412:"BLUE_BITS",3413:"ALPHA_BITS",3414:"DEPTH_BITS",3415:"STENCIL_BITS",3553:"TEXTURE_2D",4352:"DONT_CARE",4353:"FASTEST",4354:"NICEST",5120:"BYTE",5121:"UNSIGNED_BYTE",5122:"SHORT",5123:"UNSIGNED_SHORT",5124:"INT",5125:"UNSIGNED_INT",5126:"FLOAT",5386:"INVERT",5890:"TEXTURE",6401:"STENCIL_INDEX",6402:"DEPTH_COMPONENT",6406:"ALPHA",6407:"RGB",6408:"RGBA",6409:"LUMINANCE",6410:"LUMINANCE_ALPHA",7680:"KEEP",7681:"REPLACE",7682:"INCR",7683:"DECR",7936:"VENDOR",7937:"RENDERER",7938:"VERSION",9728:"NEAREST",9729:"LINEAR",9984:"NEAREST_MIPMAP_NEAREST",9985:"LINEAR_MIPMAP_NEAREST",9986:"NEAREST_MIPMAP_LINEAR",9987:"LINEAR_MIPMAP_LINEAR",10240:"TEXTURE_MAG_FILTER",10241:"TEXTURE_MIN_FILTER",10242:"TEXTURE_WRAP_S",10243:"TEXTURE_WRAP_T",10497:"REPEAT",10752:"POLYGON_OFFSET_UNITS",16384:"COLOR_BUFFER_BIT",32769:"CONSTANT_COLOR",32770:"ONE_MINUS_CONSTANT_COLOR",32771:"CONSTANT_ALPHA",32772:"ONE_MINUS_CONSTANT_ALPHA",32773:"BLEND_COLOR",32774:"FUNC_ADD",32777:"BLEND_EQUATION_RGB",32778:"FUNC_SUBTRACT",32779:"FUNC_REVERSE_SUBTRACT",32819:"UNSIGNED_SHORT_4_4_4_4",32820:"UNSIGNED_SHORT_5_5_5_1",32823:"POLYGON_OFFSET_FILL",32824:"POLYGON_OFFSET_FACTOR",32854:"RGBA4",32855:"RGB5_A1",32873:"TEXTURE_BINDING_2D",32926:"SAMPLE_ALPHA_TO_COVERAGE",32928:"SAMPLE_COVERAGE",32936:"SAMPLE_BUFFERS",32937:"SAMPLES",32938:"SAMPLE_COVERAGE_VALUE",32939:"SAMPLE_COVERAGE_INVERT",32968:"BLEND_DST_RGB",32969:"BLEND_SRC_RGB",32970:"BLEND_DST_ALPHA",32971:"BLEND_SRC_ALPHA",33071:"CLAMP_TO_EDGE",33170:"GENERATE_MIPMAP_HINT",33189:"DEPTH_COMPONENT16",33306:"DEPTH_STENCIL_ATTACHMENT",33635:"UNSIGNED_SHORT_5_6_5",33648:"MIRRORED_REPEAT",33901:"ALIASED_POINT_SIZE_RANGE",33902:"ALIASED_LINE_WIDTH_RANGE",33984:"TEXTURE0",33985:"TEXTURE1",33986:"TEXTURE2",33987:"TEXTURE3",33988:"TEXTURE4",33989:"TEXTURE5",33990:"TEXTURE6",33991:"TEXTURE7",33992:"TEXTURE8",33993:"TEXTURE9",33994:"TEXTURE10",33995:"TEXTURE11",33996:"TEXTURE12",33997:"TEXTURE13",33998:"TEXTURE14",33999:"TEXTURE15",34e3:"TEXTURE16",34001:"TEXTURE17",34002:"TEXTURE18",34003:"TEXTURE19",34004:"TEXTURE20",34005:"TEXTURE21",34006:"TEXTURE22",34007:"TEXTURE23",34008:"TEXTURE24",34009:"TEXTURE25",34010:"TEXTURE26",34011:"TEXTURE27",34012:"TEXTURE28",34013:"TEXTURE29",34014:"TEXTURE30",34015:"TEXTURE31",34016:"ACTIVE_TEXTURE",34024:"MAX_RENDERBUFFER_SIZE",34041:"DEPTH_STENCIL",34055:"INCR_WRAP",34056:"DECR_WRAP",34067:"TEXTURE_CUBE_MAP",34068:"TEXTURE_BINDING_CUBE_MAP",34069:"TEXTURE_CUBE_MAP_POSITIVE_X",34070:"TEXTURE_CUBE_MAP_NEGATIVE_X",34071:"TEXTURE_CUBE_MAP_POSITIVE_Y",34072:"TEXTURE_CUBE_MAP_NEGATIVE_Y",34073:"TEXTURE_CUBE_MAP_POSITIVE_Z",34074:"TEXTURE_CUBE_MAP_NEGATIVE_Z",34076:"MAX_CUBE_MAP_TEXTURE_SIZE",34338:"VERTEX_ATTRIB_ARRAY_ENABLED",34339:"VERTEX_ATTRIB_ARRAY_SIZE",34340:"VERTEX_ATTRIB_ARRAY_STRIDE",34341:"VERTEX_ATTRIB_ARRAY_TYPE",34342:"CURRENT_VERTEX_ATTRIB",34373:"VERTEX_ATTRIB_ARRAY_POINTER",34466:"NUM_COMPRESSED_TEXTURE_FORMATS",34467:"COMPRESSED_TEXTURE_FORMATS",34660:"BUFFER_SIZE",34661:"BUFFER_USAGE",34816:"STENCIL_BACK_FUNC",34817:"STENCIL_BACK_FAIL",34818:"STENCIL_BACK_PASS_DEPTH_FAIL",34819:"STENCIL_BACK_PASS_DEPTH_PASS",34877:"BLEND_EQUATION_ALPHA",34921:"MAX_VERTEX_ATTRIBS",34922:"VERTEX_ATTRIB_ARRAY_NORMALIZED",34930:"MAX_TEXTURE_IMAGE_UNITS",34962:"ARRAY_BUFFER",34963:"ELEMENT_ARRAY_BUFFER",34964:"ARRAY_BUFFER_BINDING",34965:"ELEMENT_ARRAY_BUFFER_BINDING",34975:"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING",35040:"STREAM_DRAW",35044:"STATIC_DRAW",35048:"DYNAMIC_DRAW",35632:"FRAGMENT_SHADER",35633:"VERTEX_SHADER",35660:"MAX_VERTEX_TEXTURE_IMAGE_UNITS",35661:"MAX_COMBINED_TEXTURE_IMAGE_UNITS",35663:"SHADER_TYPE",35664:"FLOAT_VEC2",35665:"FLOAT_VEC3",35666:"FLOAT_VEC4",35667:"INT_VEC2",35668:"INT_VEC3",35669:"INT_VEC4",35670:"BOOL",35671:"BOOL_VEC2",35672:"BOOL_VEC3",35673:"BOOL_VEC4",35674:"FLOAT_MAT2",35675:"FLOAT_MAT3",35676:"FLOAT_MAT4",35678:"SAMPLER_2D",35680:"SAMPLER_CUBE",35712:"DELETE_STATUS",35713:"COMPILE_STATUS",35714:"LINK_STATUS",35715:"VALIDATE_STATUS",35716:"INFO_LOG_LENGTH",35717:"ATTACHED_SHADERS",35718:"ACTIVE_UNIFORMS",35719:"ACTIVE_UNIFORM_MAX_LENGTH",35720:"SHADER_SOURCE_LENGTH",35721:"ACTIVE_ATTRIBUTES",35722:"ACTIVE_ATTRIBUTE_MAX_LENGTH",35724:"SHADING_LANGUAGE_VERSION",35725:"CURRENT_PROGRAM",36003:"STENCIL_BACK_REF",36004:"STENCIL_BACK_VALUE_MASK",36005:"STENCIL_BACK_WRITEMASK",36006:"FRAMEBUFFER_BINDING",36007:"RENDERBUFFER_BINDING",36048:"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE",36049:"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME",36050:"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL",36051:"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE",36053:"FRAMEBUFFER_COMPLETE",36054:"FRAMEBUFFER_INCOMPLETE_ATTACHMENT",36055:"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT",36057:"FRAMEBUFFER_INCOMPLETE_DIMENSIONS",36061:"FRAMEBUFFER_UNSUPPORTED",36064:"COLOR_ATTACHMENT0",36096:"DEPTH_ATTACHMENT",36128:"STENCIL_ATTACHMENT",36160:"FRAMEBUFFER",36161:"RENDERBUFFER",36162:"RENDERBUFFER_WIDTH",36163:"RENDERBUFFER_HEIGHT",36164:"RENDERBUFFER_INTERNAL_FORMAT",36168:"STENCIL_INDEX8",36176:"RENDERBUFFER_RED_SIZE",36177:"RENDERBUFFER_GREEN_SIZE",36178:"RENDERBUFFER_BLUE_SIZE",36179:"RENDERBUFFER_ALPHA_SIZE",36180:"RENDERBUFFER_DEPTH_SIZE",36181:"RENDERBUFFER_STENCIL_SIZE",36194:"RGB565",36336:"LOW_FLOAT",36337:"MEDIUM_FLOAT",36338:"HIGH_FLOAT",36339:"LOW_INT",36340:"MEDIUM_INT",36341:"HIGH_INT",36346:"SHADER_COMPILER",36347:"MAX_VERTEX_UNIFORM_VECTORS",36348:"MAX_VARYING_VECTORS",36349:"MAX_FRAGMENT_UNIFORM_VECTORS",37440:"UNPACK_FLIP_Y_WEBGL",37441:"UNPACK_PREMULTIPLY_ALPHA_WEBGL",37442:"CONTEXT_LOST_WEBGL",37443:"UNPACK_COLORSPACE_CONVERSION_WEBGL",37444:"BROWSER_DEFAULT_WEBGL"}},{}],83:[function(t,e,r){var n=t("./1.0/numbers");e.exports=function(t){return n[t]}},{"./1.0/numbers":82}],84:[function(t,e,r){"use strict";e.exports=function(t){var e=t.gl,r=n(e),o=i(e,[{buffer:r,type:e.FLOAT,size:3,offset:0,stride:40},{buffer:r,type:e.FLOAT,size:4,offset:12,stride:40},{buffer:r,type:e.FLOAT,size:3,offset:28,stride:40}]),l=a(e);l.attributes.position.location=0,l.attributes.color.location=1,l.attributes.offset.location=2;var c=new s(e,r,o,l);return c.update(t),c};var n=t("gl-buffer"),i=t("gl-vao"),a=t("./shaders/index"),o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(t,e,r,n){this.gl=t,this.shader=n,this.buffer=e,this.vao=r,this.pixelRatio=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lineWidth=[1,1,1],this.capSize=[10,10,10],this.lineCount=[0,0,0],this.lineOffset=[0,0,0],this.opacity=1,this.hasAlpha=!1}var l=s.prototype;function c(t,e){for(var r=0;r<3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}l.isOpaque=function(){return!this.hasAlpha},l.isTransparent=function(){return this.hasAlpha},l.drawTransparent=l.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||o,i=r.projection=t.projection||o;r.model=t.model||o,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var a=n[12],s=n[13],l=n[14],c=n[15],u=(t._ortho||!1?2:1)*this.pixelRatio*(i[3]*a+i[7]*s+i[11]*l+i[15]*c)/e.drawingBufferHeight;this.vao.bind();for(var f=0;f<3;++f)e.lineWidth(this.lineWidth[f]*this.pixelRatio),r.capSize=this.capSize[f]*u,this.lineCount[f]&&e.drawArrays(e.LINES,this.lineOffset[f],this.lineCount[f]);this.vao.unbind()};var u=function(){for(var t=new Array(3),e=0;e<3;++e){for(var r=[],n=1;n<=2;++n)for(var i=-1;i<=1;i+=2){var a=[0,0,0];a[(n+e)%3]=i,r.push(a)}t[e]=r}return t}();function f(t,e,r,n){for(var i=u[n],a=0;a<i.length;++a){var o=i[a];t.push(e[0],e[1],e[2],r[0],r[1],r[2],r[3],o[0],o[1],o[2])}return i.length}l.update=function(t){"lineWidth"in(t=t||{})&&(this.lineWidth=t.lineWidth,Array.isArray(this.lineWidth)||(this.lineWidth=[this.lineWidth,this.lineWidth,this.lineWidth])),"capSize"in t&&(this.capSize=t.capSize,Array.isArray(this.capSize)||(this.capSize=[this.capSize,this.capSize,this.capSize])),this.hasAlpha=!1,"opacity"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var e=t.color||[[0,0,0],[0,0,0],[0,0,0]],r=t.position,n=t.error;if(Array.isArray(e[0])||(e=[e,e,e]),r&&n){var i=[],a=r.length,o=0;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.lineCount=[0,0,0];for(var s=0;s<3;++s){this.lineOffset[s]=o;t:for(var l=0;l<a;++l){for(var u=r[l],h=0;h<3;++h)if(isNaN(u[h])||!isFinite(u[h]))continue t;var p=n[l],d=e[s];if(Array.isArray(d[0])&&(d=e[l]),3===d.length?d=[d[0],d[1],d[2],1]:4===d.length&&(d=[d[0],d[1],d[2],d[3]],!this.hasAlpha&&d[3]<1&&(this.hasAlpha=!0)),!isNaN(p[0][s])&&!isNaN(p[1][s])){var m;if(p[0][s]<0)(m=u.slice())[s]+=p[0][s],i.push(u[0],u[1],u[2],d[0],d[1],d[2],d[3],0,0,0,m[0],m[1],m[2],d[0],d[1],d[2],d[3],0,0,0),c(this.bounds,m),o+=2+f(i,m,d,s);if(p[1][s]>0)(m=u.slice())[s]+=p[1][s],i.push(u[0],u[1],u[2],d[0],d[1],d[2],d[3],0,0,0,m[0],m[1],m[2],d[0],d[1],d[2],d[3],0,0,0),c(this.bounds,m),o+=2+f(i,m,d,s)}}this.lineCount[s]=o-this.lineOffset[s]}this.buffer.update(i)}},l.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()}},{"./shaders/index":85,"gl-buffer":78,"gl-vao":150}],85:[function(t,e,r){"use strict";var n=t("glslify"),i=t("gl-shader"),a=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, offset;\nattribute vec4 color;\nuniform mat4 model, view, projection;\nuniform float capSize;\nvarying vec4 fragColor;\nvarying vec3 fragPosition;\n\nvoid main() {\n  vec4 worldPosition  = model * vec4(position, 1.0);\n  worldPosition       = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\n  gl_Position         = projection * view * worldPosition;\n  fragColor           = color;\n  fragPosition        = position;\n}"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float opacity;\nvarying vec3 fragPosition;\nvarying vec4 fragColor;\n\nvoid main() {\n  if (\n    outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\n    fragColor.a * opacity == 0.\n  ) discard;\n\n  gl_FragColor = opacity * fragColor;\n}"]);e.exports=function(t){return i(t,a,o,null,[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"offset",type:"vec3"}])}},{"gl-shader":132,glslify:231}],86:[function(t,e,r){"use strict";var n=t("gl-texture2d");e.exports=function(t,e,r,n){i||(i=t.FRAMEBUFFER_UNSUPPORTED,a=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var c=t.getExtension("WEBGL_draw_buffers");!l&&c&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var i=new Array(r),a=0;a<n;++a)i[a]=t.COLOR_ATTACHMENT0+a;for(a=n;a<r;++a)i[a]=t.NONE;l[n]=i}}(t,c);Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]);if("number"!=typeof e)throw new Error("gl-fbo: Missing shape parameter");var u=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>u||r<0||r>u)throw new Error("gl-fbo: Parameters are too large for FBO");var f=1;if("color"in(n=n||{})){if((f=Math.max(0|n.color,0))<0)throw new Error("gl-fbo: Must specify a nonnegative number of colors");if(f>1){if(!c)throw new Error("gl-fbo: Multiple draw buffer extension not supported");if(f>t.getParameter(c.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error("gl-fbo: Context does not support "+f+" draw buffers")}}var h=t.UNSIGNED_BYTE,p=t.getExtension("OES_texture_float");if(n.float&&f>0){if(!p)throw new Error("gl-fbo: Context does not support floating point textures");h=t.FLOAT}else n.preferFloat&&f>0&&p&&(h=t.FLOAT);var m=!0;"depth"in n&&(m=!!n.depth);var g=!1;"stencil"in n&&(g=!!n.stencil);return new d(t,e,r,h,f,m,g,c)};var i,a,o,s,l=null;function c(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function u(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function f(t){switch(t){case i:throw new Error("gl-fbo: Framebuffer unsupported");case a:throw new Error("gl-fbo: Framebuffer incomplete attachment");case o:throw new Error("gl-fbo: Framebuffer incomplete dimensions");case s:throw new Error("gl-fbo: Framebuffer incomplete missing attachment");default:throw new Error("gl-fbo: Framebuffer failed for unspecified reason")}}function h(t,e,r,i,a,o){if(!i)return null;var s=n(t,e,r,a,i);return s.magFilter=t.NEAREST,s.minFilter=t.NEAREST,s.mipSamples=1,s.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,o,t.TEXTURE_2D,s.handle,0),s}function p(t,e,r,n,i){var a=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function d(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var d=0;d<i;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var m=this,g=[0|e,0|r];Object.defineProperties(g,{0:{get:function(){return m._shape[0]},set:function(t){return m.width=t}},1:{get:function(){return m._shape[1]},set:function(t){return m.height=t}}}),this._shapeVector=g,function(t){var e=c(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),i=t._shape[0],a=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,m=t._useDepth,g=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var v=0;v<o;++v)t.color[v]=h(r,i,a,g,r.RGBA,r.COLOR_ATTACHMENT0+v);0===o?(t._color_rb=p(r,i,a,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var y=r.getExtension("WEBGL_depth_texture");y?d?t.depth=h(r,i,a,y.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):m&&(t.depth=h(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):m&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):m?t._depth_rb=p(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null);for(v=0;v<t.color.length;++v)t.color[v].dispose(),t.color[v]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),u(r,e),f(x)}u(r,e)}(this)}var m=d.prototype;function g(t,e,r){if(t._destroyed)throw new Error("gl-fbo: Can't resize destroyed FBO");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,i=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>i||r<0||r>i)throw new Error("gl-fbo: Can't resize FBO, invalid dimensions");t._shape[0]=e,t._shape[1]=r;for(var a=c(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),u(n,a),f(s)),u(n,a)}}Object.defineProperties(m,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error("gl-fbo: Shape vector must be length 2");var e=0|t[0],r=0|t[1];return g(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return g(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,g(this,this._shape[0],t),t},enumerable:!1}}),m.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},m.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},{"gl-texture2d":146}],87:[function(t,e,r){var n=t("sprintf-js").sprintf,i=t("gl-constants/lookup"),a=t("glsl-shader-name"),o=t("add-line-numbers");e.exports=function(t,e,r){"use strict";var s=a(e)||"of unknown name (see npm glsl-shader-name)",l="unknown type";void 0!==r&&(l=r===i.FRAGMENT_SHADER?"fragment":"vertex");for(var c=n("Error compiling %s shader %s:\n",l,s),u=n("%s%s",c,t),f=t.split("\n"),h={},p=0;p<f.length;p++){var d=f[p];if(""!==d&&"\0"!==d){var m=parseInt(d.split(":")[2]);if(isNaN(m))throw new Error(n("Could not parse error: %s",d));h[m]=d}}var g=o(e).split("\n");for(p=0;p<g.length;p++)if(h[p+3]||h[p+2]||h[p+1]){var v=g[p];if(c+=v+"\n",h[p+1]){var y=h[p+1];y=y.substr(y.split(":",3).join(":").length+1).trim(),c+=n("^^^ %s\n\n",y)}}return{long:c.trim(),short:u.trim()}}},{"add-line-numbers":9,"gl-constants/lookup":83,"glsl-shader-name":223,"sprintf-js":301}],88:[function(t,e,r){"use strict";e.exports=function(t,e){var r=t.gl,n=o(r,l.vertex,l.fragment),i=o(r,l.pickVertex,l.pickFragment),a=s(r),u=s(r),f=s(r),h=s(r),p=new c(t,n,i,a,u,f,h);return p.update(e),t.addObject(p),p};var n=t("binary-search-bounds"),i=t("iota-array"),a=t("typedarray-pool"),o=t("gl-shader"),s=t("gl-buffer"),l=t("./lib/shaders");function c(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var u,f=c.prototype,h=[0,0,1,0,0,1,1,0,1,1,0,1];f.draw=(u=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var i=t.gl,a=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=a[2]-a[0],c=a[3]-a[1];u[0]=2*o/l,u[4]=2*s/c,u[6]=2*(r[0]-a[0])/l-1,u[7]=2*(r[1]-a[1])/c-1,e.bind();var f=e.uniforms;f.viewTransform=u,f.shape=this.shape;var h=e.attributes;this.positionBuffer.bind(),h.position.pointer(),this.weightBuffer.bind(),h.weight.pointer(i.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),h.color.pointer(i.UNSIGNED_BYTE,!0),i.drawArrays(i.TRIANGLES,0,n)}}),f.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,c=a[2]-a[0],u=a[3]-a[1],f=l[2]-l[0],h=l[3]-l[1];t[0]=2*c/f,t[4]=2*u/h,t[6]=2*(a[0]-l[0])/f-1,t[7]=2*(a[1]-l[1])/h-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var m=i.attributes;return this.positionBuffer.bind(),m.position.pointer(),this.weightBuffer.bind(),m.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),m.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r<n||r>=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},f.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var c,u,f,p,d=t.colorLevels||[0],m=t.colorValues||[0,0,0,1],g=d.length,v=this.bounds;l?(c=v[0]=r[0],u=v[1]=o[0],f=v[2]=r[r.length-1],p=v[3]=o[o.length-1]):(c=v[0]=r[0]+(r[1]-r[0])/2,u=v[1]=o[0]+(o[1]-o[0])/2,f=v[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=v[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var y=1/(f-c),x=1/(p-u),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(h.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),A=a.mallocUint8(2*w),M=a.mallocUint32(w),S=0,E=l?b-1:b,L=l?_-1:_,C=0;C<L;++C){var P,I;l?(P=x*(o[C]-u),I=x*(o[C+1]-u)):(P=C<_-1?x*(o[C]-(o[C+1]-o[C])/2-u):x*(o[C]-(o[C]-o[C-1])/2-u),I=C<_-1?x*(o[C]+(o[C+1]-o[C])/2-u):x*(o[C]+(o[C]-o[C-1])/2-u));for(var O=0;O<E;++O){var z,D;l?(z=y*(r[O]-c),D=y*(r[O+1]-c)):(z=O<b-1?y*(r[O]-(r[O+1]-r[O])/2-c):y*(r[O]-(r[O]-r[O-1])/2-c),D=O<b-1?y*(r[O]+(r[O+1]-r[O])/2-c):y*(r[O]+(r[O]-r[O-1])/2-c));for(var R=0;R<h.length;R+=2){var F,B,N,j,U=h[R],V=h[R+1],H=s[l?(C+V)*b+(O+U):C*b+O],q=n.le(d,H);if(q<0)F=m[0],B=m[1],N=m[2],j=m[3];else if(q===g-1)F=m[4*g-4],B=m[4*g-3],N=m[4*g-2],j=m[4*g-1];else{var G=(H-d[q])/(d[q+1]-d[q]),Y=1-G,W=4*q,X=4*(q+1);F=Y*m[W]+G*m[X],B=Y*m[W+1]+G*m[X+1],N=Y*m[W+2]+G*m[X+2],j=Y*m[W+3]+G*m[X+3]}T[4*S]=255*F,T[4*S+1]=255*B,T[4*S+2]=255*N,T[4*S+3]=255*j,k[2*S]=.5*z+.5*D,k[2*S+1]=.5*P+.5*I,A[2*S]=U,A[2*S+1]=V,M[S]=C*b+O,S+=1}}}this.positionBuffer.update(k),this.weightBuffer.update(A),this.colorBuffer.update(T),this.idBuffer.update(M),a.free(k),a.free(T),a.free(A),a.free(M)},f.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},{"./lib/shaders":89,"binary-search-bounds":31,"gl-buffer":78,"gl-shader":132,"iota-array":235,"typedarray-pool":308}],89:[function(t,e,r){"use strict";var n=t("glslify");e.exports={fragment:n(["precision lowp float;\n#define GLSLIFY 1\nvarying vec4 fragColor;\nvoid main() {\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\n}\n"]),vertex:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec4 color;\nattribute vec2 weight;\n\nuniform vec2 shape;\nuniform mat3 viewTransform;\n\nvarying vec4 fragColor;\n\nvoid main() {\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\n  fragColor = color;\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\n}\n"]),pickFragment:n(["precision mediump float;\n#define GLSLIFY 1\n\nvarying vec4 fragId;\nvarying vec2 vWeight;\n\nuniform vec2 shape;\nuniform vec4 pickOffset;\n\nvoid main() {\n  vec2 d = step(.5, vWeight);\n  vec4 id = fragId + pickOffset;\n  id.x += d.x + d.y*shape.x;\n\n  id.y += floor(id.x / 256.0);\n  id.x -= floor(id.x / 256.0) * 256.0;\n\n  id.z += floor(id.y / 256.0);\n  id.y -= floor(id.y / 256.0) * 256.0;\n\n  id.w += floor(id.z / 256.0);\n  id.z -= floor(id.z / 256.0) * 256.0;\n\n  gl_FragColor = id/255.;\n}\n"]),pickVertex:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec4 pickId;\nattribute vec2 weight;\n\nuniform vec2 shape;\nuniform mat3 viewTransform;\n\nvarying vec4 fragId;\nvarying vec2 vWeight;\n\nvoid main() {\n  vWeight = weight;\n\n  fragId = pickId;\n\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\n}\n"])}},{glslify:231}],90:[function(t,e,r){var n=t("glslify"),i=t("gl-shader"),a=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, nextPosition;\nattribute float arcLength, lineWidth;\nattribute vec4 color;\n\nuniform vec2 screenShape;\nuniform float pixelRatio;\nuniform mat4 model, view, projection;\n\nvarying vec4 fragColor;\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\n\nvec4 project(vec3 p) {\n  return projection * view * model * vec4(p, 1.0);\n}\n\nvoid main() {\n  vec4 startPoint = project(position);\n  vec4 endPoint   = project(nextPosition);\n\n  vec2 A = startPoint.xy / startPoint.w;\n  vec2 B =   endPoint.xy /   endPoint.w;\n\n  float clipAngle = atan(\n    (B.y - A.y) * screenShape.y,\n    (B.x - A.x) * screenShape.x\n  );\n\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\n    sin(clipAngle),\n    -cos(clipAngle)\n  ) / screenShape;\n\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\n\n  worldPosition = position;\n  pixelArcLength = arcLength;\n  fragColor = color;\n}\n"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3      clipBounds[2];\nuniform sampler2D dashTexture;\nuniform float     dashScale;\nuniform float     opacity;\n\nvarying vec3    worldPosition;\nvarying float   pixelArcLength;\nvarying vec4    fragColor;\n\nvoid main() {\n  if (\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\n    fragColor.a * opacity == 0.\n  ) discard;\n\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\n  if(dashWeight < 0.5) {\n    discard;\n  }\n  gl_FragColor = fragColor * opacity;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\n#define FLOAT_MAX  1.70141184e38\n#define FLOAT_MIN  1.17549435e-38\n\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\nvec4 packFloat(float v) {\n  float av = abs(v);\n\n  //Handle special cases\n  if(av < FLOAT_MIN) {\n    return vec4(0.0, 0.0, 0.0, 0.0);\n  } else if(v > FLOAT_MAX) {\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\n  } else if(v < -FLOAT_MAX) {\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\n  }\n\n  vec4 c = vec4(0,0,0,0);\n\n  //Compute exponent and mantissa\n  float e = floor(log2(av));\n  float m = av * pow(2.0, -e) - 1.0;\n\n  //Unpack mantissa\n  c[1] = floor(128.0 * m);\n  m -= c[1] / 128.0;\n  c[2] = floor(32768.0 * m);\n  m -= c[2] / 32768.0;\n  c[3] = floor(8388608.0 * m);\n\n  //Unpack exponent\n  float ebias = e + 127.0;\n  c[0] = floor(ebias / 2.0);\n  ebias -= c[0] * 2.0;\n  c[1] += floor(ebias) * 128.0;\n\n  //Unpack sign bit\n  c[0] += 128.0 * step(0.0, -v);\n\n  //Scale back to range\n  return c / 255.0;\n}\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform float pickId;\nuniform vec3 clipBounds[2];\n\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\nvarying vec4 fragColor;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\n\n  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\n}"]),l=[{name:"position",type:"vec3"},{name:"nextPosition",type:"vec3"},{name:"arcLength",type:"float"},{name:"lineWidth",type:"float"},{name:"color",type:"vec4"}];r.createShader=function(t){return i(t,a,o,null,l)},r.createPickShader=function(t){return i(t,a,s,null,l)}},{"gl-shader":132,glslify:231}],91:[function(t,e,r){"use strict";e.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=f(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=h(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),u=c(new Array(1024),[256,1,4]),p=0;p<1024;++p)u.data[p]=255;var d=a(e,u);d.wrap=e.REPEAT;var m=new v(e,r,o,s,l,d);return m.update(t),m};var n=t("gl-buffer"),i=t("gl-vao"),a=t("gl-texture2d"),o=new Uint8Array(4),s=new Float32Array(o.buffer);var l=t("binary-search-bounds"),c=t("ndarray"),u=t("./lib/shaders"),f=u.createShader,h=u.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function m(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function g(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function v(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var y=v.prototype;y.isTransparent=function(){return this.hasAlpha},y.isOpaque=function(){return!this.hasAlpha},y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.drawTransparent=y.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,clipBounds:m(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,pickId:this.pickId,clipBounds:m(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.update=function(t){var e,r;this.dirty=!0;var n=!!t.connectGaps;"dashScale"in t&&(this.dashScale=t.dashScale),this.hasAlpha=!1,"opacity"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var i=[],a=[],o=[],s=0,u=0,f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],h=t.position||t.positions;if(h){var p=t.color||t.colors||[0,0,0,1],m=t.lineWidth||1,g=!1;t:for(e=1;e<h.length;++e){var v,y,x,b=h[e-1],_=h[e];for(a.push(s),o.push(b.slice()),r=0;r<3;++r){if(isNaN(b[r])||isNaN(_[r])||!isFinite(b[r])||!isFinite(_[r])){if(!n&&i.length>0){for(var w=0;w<24;++w)i.push(i[i.length-12]);u+=2,g=!0}continue t}f[0][r]=Math.min(f[0][r],b[r],_[r]),f[1][r]=Math.max(f[1][r],b[r],_[r])}Array.isArray(p[0])?(v=p.length>e-1?p[e-1]:p.length>0?p[p.length-1]:[0,0,0,1],y=p.length>e?p[e]:p.length>0?p[p.length-1]:[0,0,0,1]):v=y=p,3===v.length&&(v=[v[0],v[1],v[2],1]),3===y.length&&(y=[y[0],y[1],y[2],1]),!this.hasAlpha&&v[3]<1&&(this.hasAlpha=!0),x=Array.isArray(m)?m.length>e-1?m[e-1]:m.length>0?m[m.length-1]:[0,0,0,1]:m;var T=s;if(s+=d(b,_),g){for(r=0;r<2;++r)i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,v[0],v[1],v[2],v[3]);u+=2,g=!1}i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,v[0],v[1],v[2],v[3],b[0],b[1],b[2],_[0],_[1],_[2],T,-x,v[0],v[1],v[2],v[3],_[0],_[1],_[2],b[0],b[1],b[2],s,-x,y[0],y[1],y[2],y[3],_[0],_[1],_[2],b[0],b[1],b[2],s,x,y[0],y[1],y[2],y[3]),u+=4}}if(this.buffer.update(i),a.push(s),o.push(h[h.length-1].slice()),this.bounds=f,this.vertexCount=u,this.points=o,this.arcLength=a,"dashes"in t){var k=t.dashes.slice();for(k.unshift(0),e=1;e<k.length;++e)k[e]=k[e-1]+k[e];var A=c(new Array(1024),[256,1,4]);for(e=0;e<256;++e){for(r=0;r<4;++r)A.set(e,0,r,0);1&l.le(k,k[k.length-1]*e/255)?A.set(e,0,0,0):A.set(e,0,0,255)}this.texture.setPixels(A)}},y.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()},y.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=function(t,e,r,n){return o[0]=n,o[1]=r,o[2]=e,o[3]=t,s[0]}(t.value[0],t.value[1],t.value[2],0),r=l.le(this.arcLength,e);if(r<0)return null;if(r===this.arcLength.length-1)return new g(this.arcLength[this.arcLength.length-1],this.points[this.points.length-1].slice(),r);for(var n=this.points[r],i=this.points[Math.min(r+1,this.points.length-1)],a=(e-this.arcLength[r])/(this.arcLength[r+1]-this.arcLength[r]),c=1-a,u=[0,0,0],f=0;f<3;++f)u[f]=c*n[f]+a*i[f];var h=Math.min(a<.5?r:r+1,this.points.length-1);return new g(e,u,h,this.points[h])}},{"./lib/shaders":90,"binary-search-bounds":31,"gl-buffer":78,"gl-texture2d":146,"gl-vao":150,ndarray:259}],92:[function(t,e,r){e.exports=function(t){var e=new Float32Array(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e}},{}],93:[function(t,e,r){e.exports=function(){var t=new Float32Array(16);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],94:[function(t,e,r){e.exports=function(t){var e=t[0],r=t[1],n=t[2],i=t[3],a=t[4],o=t[5],s=t[6],l=t[7],c=t[8],u=t[9],f=t[10],h=t[11],p=t[12],d=t[13],m=t[14],g=t[15];return(e*o-r*a)*(f*g-h*m)-(e*s-n*a)*(u*g-h*d)+(e*l-i*a)*(u*m-f*d)+(r*s-n*o)*(c*g-h*p)-(r*l-i*o)*(c*m-f*p)+(n*l-i*s)*(c*d-u*p)}},{}],95:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=r+r,s=n+n,l=i+i,c=r*o,u=n*o,f=n*s,h=i*o,p=i*s,d=i*l,m=a*o,g=a*s,v=a*l;return t[0]=1-f-d,t[1]=u+v,t[2]=h-g,t[3]=0,t[4]=u-v,t[5]=1-c-d,t[6]=p+m,t[7]=0,t[8]=h+g,t[9]=p-m,t[10]=1-c-f,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],96:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=n+n,l=i+i,c=a+a,u=n*s,f=n*l,h=n*c,p=i*l,d=i*c,m=a*c,g=o*s,v=o*l,y=o*c;return t[0]=1-(p+m),t[1]=f+y,t[2]=h-v,t[3]=0,t[4]=f-y,t[5]=1-(u+m),t[6]=d+g,t[7]=0,t[8]=h+v,t[9]=d-g,t[10]=1-(u+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},{}],97:[function(t,e,r){e.exports=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],98:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],c=e[7],u=e[8],f=e[9],h=e[10],p=e[11],d=e[12],m=e[13],g=e[14],v=e[15],y=r*s-n*o,x=r*l-i*o,b=r*c-a*o,_=n*l-i*s,w=n*c-a*s,T=i*c-a*l,k=u*m-f*d,A=u*g-h*d,M=u*v-p*d,S=f*g-h*m,E=f*v-p*m,L=h*v-p*g,C=y*L-x*E+b*S+_*M-w*A+T*k;if(!C)return null;return C=1/C,t[0]=(s*L-l*E+c*S)*C,t[1]=(i*E-n*L-a*S)*C,t[2]=(m*T-g*w+v*_)*C,t[3]=(h*w-f*T-p*_)*C,t[4]=(l*M-o*L-c*A)*C,t[5]=(r*L-i*M+a*A)*C,t[6]=(g*b-d*T-v*x)*C,t[7]=(u*T-h*b+p*x)*C,t[8]=(o*E-s*M+c*k)*C,t[9]=(n*M-r*E-a*k)*C,t[10]=(d*w-m*b+v*y)*C,t[11]=(f*b-u*w-p*y)*C,t[12]=(s*A-o*S-l*k)*C,t[13]=(r*S-n*A+i*k)*C,t[14]=(m*x-d*_-g*y)*C,t[15]=(u*_-f*x+h*y)*C,t}},{}],99:[function(t,e,r){var n=t("./identity");e.exports=function(t,e,r,i){var a,o,s,l,c,u,f,h,p,d,m=e[0],g=e[1],v=e[2],y=i[0],x=i[1],b=i[2],_=r[0],w=r[1],T=r[2];if(Math.abs(m-_)<1e-6&&Math.abs(g-w)<1e-6&&Math.abs(v-T)<1e-6)return n(t);f=m-_,h=g-w,p=v-T,d=1/Math.sqrt(f*f+h*h+p*p),a=x*(p*=d)-b*(h*=d),o=b*(f*=d)-y*p,s=y*h-x*f,(d=Math.sqrt(a*a+o*o+s*s))?(a*=d=1/d,o*=d,s*=d):(a=0,o=0,s=0);l=h*s-p*o,c=p*a-f*s,u=f*o-h*a,(d=Math.sqrt(l*l+c*c+u*u))?(l*=d=1/d,c*=d,u*=d):(l=0,c=0,u=0);return t[0]=a,t[1]=l,t[2]=f,t[3]=0,t[4]=o,t[5]=c,t[6]=h,t[7]=0,t[8]=s,t[9]=u,t[10]=p,t[11]=0,t[12]=-(a*m+o*g+s*v),t[13]=-(l*m+c*g+u*v),t[14]=-(f*m+h*g+p*v),t[15]=1,t}},{"./identity":97}],100:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],m=e[12],g=e[13],v=e[14],y=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*f+w*m,t[1]=x*i+b*l+_*h+w*g,t[2]=x*a+b*c+_*p+w*v,t[3]=x*o+b*u+_*d+w*y,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*f+w*m,t[5]=x*i+b*l+_*h+w*g,t[6]=x*a+b*c+_*p+w*v,t[7]=x*o+b*u+_*d+w*y,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*f+w*m,t[9]=x*i+b*l+_*h+w*g,t[10]=x*a+b*c+_*p+w*v,t[11]=x*o+b*u+_*d+w*y,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*f+w*m,t[13]=x*i+b*l+_*h+w*g,t[14]=x*a+b*c+_*p+w*v,t[15]=x*o+b*u+_*d+w*y,t}},{}],101:[function(t,e,r){e.exports=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t}},{}],102:[function(t,e,r){e.exports=function(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}},{}],103:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,A,M,S,E=n[0],L=n[1],C=n[2],P=Math.sqrt(E*E+L*L+C*C);if(Math.abs(P)<1e-6)return null;E*=P=1/P,L*=P,C*=P,i=Math.sin(r),a=Math.cos(r),o=1-a,s=e[0],l=e[1],c=e[2],u=e[3],f=e[4],h=e[5],p=e[6],d=e[7],m=e[8],g=e[9],v=e[10],y=e[11],x=E*E*o+a,b=L*E*o+C*i,_=C*E*o-L*i,w=E*L*o-C*i,T=L*L*o+a,k=C*L*o+E*i,A=E*C*o+L*i,M=L*C*o-E*i,S=C*C*o+a,t[0]=s*x+f*b+m*_,t[1]=l*x+h*b+g*_,t[2]=c*x+p*b+v*_,t[3]=u*x+d*b+y*_,t[4]=s*w+f*T+m*k,t[5]=l*w+h*T+g*k,t[6]=c*w+p*T+v*k,t[7]=u*w+d*T+y*k,t[8]=s*A+f*M+m*S,t[9]=l*A+h*M+g*S,t[10]=c*A+p*M+v*S,t[11]=u*A+d*M+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t}},{}],104:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[4]=a*i+c*n,t[5]=o*i+u*n,t[6]=s*i+f*n,t[7]=l*i+h*n,t[8]=c*i-a*n,t[9]=u*i-o*n,t[10]=f*i-s*n,t[11]=h*i-l*n,t}},{}],105:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i-c*n,t[1]=o*i-u*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+c*i,t[9]=o*n+u*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}},{}],106:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[4],u=e[5],f=e[6],h=e[7];e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i+c*n,t[1]=o*i+u*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=c*i-a*n,t[5]=u*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}},{}],107:[function(t,e,r){e.exports=function(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},{}],108:[function(t,e,r){e.exports=function(t,e,r){var n,i,a,o,s,l,c,u,f,h,p,d,m=r[0],g=r[1],v=r[2];e===t?(t[12]=e[0]*m+e[4]*g+e[8]*v+e[12],t[13]=e[1]*m+e[5]*g+e[9]*v+e[13],t[14]=e[2]*m+e[6]*g+e[10]*v+e[14],t[15]=e[3]*m+e[7]*g+e[11]*v+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=c,t[7]=u,t[8]=f,t[9]=h,t[10]=p,t[11]=d,t[12]=n*m+s*g+f*v+e[12],t[13]=i*m+l*g+h*v+e[13],t[14]=a*m+c*g+p*v+e[14],t[15]=o*m+u*g+d*v+e[15]);return t}},{}],109:[function(t,e,r){e.exports=function(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},{}],110:[function(t,e,r){"use strict";var n=t("barycentric"),i=t("polytope-closest-point/lib/closest_point_2d.js");function a(t,e){for(var r=[0,0,0,0],n=0;n<4;++n)for(var i=0;i<4;++i)r[i]+=t[4*n+i]*e[n];return r}function o(t,e,r,n,i){for(var o=a(n,a(r,a(e,[t[0],t[1],t[2],1]))),s=0;s<3;++s)o[s]/=o[3];return[.5*i[0]*(1+o[0]),.5*i[1]*(1-o[1])]}function s(t,e){for(var r=[0,0,0],n=0;n<t.length;++n)for(var i=t[n],a=e[n],o=0;o<3;++o)r[o]+=a*i[o];return r}e.exports=function(t,e,r,a,l,c){if(1===t.length)return[0,t[0].slice()];for(var u=new Array(t.length),f=0;f<t.length;++f)u[f]=o(t[f],r,a,l,c);var h=0,p=1/0;for(f=0;f<u.length;++f){for(var d=0,m=0;m<2;++m)d+=Math.pow(u[f][m]-e[m],2);d<p&&(p=d,h=f)}var g=function(t,e){if(2===t.length){for(var r=0,a=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),a+=Math.pow(e[o]-t[1][o],2);return r=Math.sqrt(r),a=Math.sqrt(a),r+a<1e-6?[1,0]:[a/(r+a),r/(a+r)]}if(3===t.length){var s=[0,0];return i(t[0],t[1],t[2],e,s),n(t,s)}return[]}(u,e),v=0;for(f=0;f<3;++f){if(g[f]<-.001||g[f]>1.0001)return null;v+=g[f]}if(Math.abs(v-1)>.001)return null;return[h,s(t,g),g]}},{barycentric:14,"polytope-closest-point/lib/closest_point_2d.js":270}],111:[function(t,e,r){var n=t("glslify"),i=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, normal;\nattribute vec4 color;\nattribute vec2 uv;\n\nuniform mat4 model\n           , view\n           , projection\n           , inverseModel;\nuniform vec3 eyePosition\n           , lightPosition;\n\nvarying vec3 f_normal\n           , f_lightDirection\n           , f_eyeDirection\n           , f_data;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvec4 project(vec3 p) {\n  return projection * view * model * vec4(p, 1.0);\n}\n\nvoid main() {\n  gl_Position      = project(position);\n\n  //Lighting geometry parameters\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\n  cameraCoordinate.xyz /= cameraCoordinate.w;\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\n  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n  f_color          = color;\n  f_data           = position;\n  f_uv             = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n  float NdotH = max(x, 0.0001);\n  float cos2Alpha = NdotH * NdotH;\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n  float roughness2 = roughness * roughness;\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n  return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n  vec3 lightDirection,\n  vec3 viewDirection,\n  vec3 surfaceNormal,\n  float roughness,\n  float fresnel) {\n\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n  //Half angle vector\n  vec3 H = normalize(lightDirection + viewDirection);\n\n  //Geometric term\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\n  float VdotH = max(dot(viewDirection, H), 0.000001);\n  float LdotH = max(dot(lightDirection, H), 0.000001);\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\n  float G = min(1.0, min(G1, G2));\n  \n  //Distribution term\n  float D = beckmannDistribution(NdotH, roughness);\n\n  //Fresnel term\n  float F = pow(1.0 - VdotN, fresnel);\n\n  //Multiply terms and done\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness\n            , fresnel\n            , kambient\n            , kdiffuse\n            , kspecular;\nuniform sampler2D texture;\n\nvarying vec3 f_normal\n           , f_lightDirection\n           , f_eyeDirection\n           , f_data;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (f_color.a == 0.0 ||\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\n  ) discard;\n\n  vec3 N = normalize(f_normal);\n  vec3 L = normalize(f_lightDirection);\n  vec3 V = normalize(f_eyeDirection);\n\n  if(gl_FrontFacing) {\n    N = -N;\n  }\n\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\n\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n\n  gl_FragColor = litColor * f_color.a;\n}\n"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 uv;\n\nuniform mat4 model, view, projection;\n\nvarying vec4 f_color;\nvarying vec3 f_data;\nvarying vec2 f_uv;\n\nvoid main() {\n  gl_Position = projection * view * model * vec4(position, 1.0);\n  f_color = color;\n  f_data  = position;\n  f_uv    = uv;\n}"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform sampler2D texture;\nuniform float opacity;\n\nvarying vec4 f_color;\nvarying vec3 f_data;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\n\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n}"]),l=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 uv;\nattribute float pointSize;\n\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\n  } else {\n    gl_Position = projection * view * model * vec4(position, 1.0);\n  }\n  gl_PointSize = pointSize;\n  f_color = color;\n  f_uv = uv;\n}"]),c=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform sampler2D texture;\nuniform float opacity;\n\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\n  if(dot(pointR, pointR) > 0.25) {\n    discard;\n  }\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n}"]),u=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  gl_Position = projection * view * model * vec4(position, 1.0);\n  f_id        = id;\n  f_position  = position;\n}"]),f=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3  clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n  gl_FragColor = vec4(pickId, f_id.xyz);\n}"]),h=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3  position;\nattribute float pointSize;\nattribute vec4  id;\n\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\n  } else {\n    gl_Position  = projection * view * model * vec4(position, 1.0);\n    gl_PointSize = pointSize;\n  }\n  f_id         = id;\n  f_position   = position;\n}"]),p=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\n\nuniform mat4 model, view, projection;\n\nvoid main() {\n  gl_Position = projection * view * model * vec4(position, 1.0);\n}"]),d=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec3 contourColor;\n\nvoid main() {\n  gl_FragColor = vec4(contourColor, 1.0);\n}\n"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec3"},{name:"normal",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"}]},r.wireShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"}]},r.pointShader={vertex:l,fragment:c,attributes:[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"pointSize",type:"float"}]},r.pickShader={vertex:u,fragment:f,attributes:[{name:"position",type:"vec3"},{name:"id",type:"vec4"}]},r.pointPickShader={vertex:h,fragment:f,attributes:[{name:"position",type:"vec3"},{name:"pointSize",type:"float"},{name:"id",type:"vec4"}]},r.contourShader={vertex:p,fragment:d,attributes:[{name:"position",type:"vec3"}]}},{glslify:231}],112:[function(t,e,r){"use strict";var n=t("gl-shader"),i=t("gl-buffer"),a=t("gl-vao"),o=t("gl-texture2d"),s=t("normals"),l=t("gl-mat4/multiply"),c=t("gl-mat4/invert"),u=t("ndarray"),f=t("colormap"),h=t("simplicial-complex-contour"),p=t("typedarray-pool"),d=t("./lib/shaders"),m=t("./lib/closest-point"),g=d.meshShader,v=d.wireShader,y=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,T,k,A,M,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=u,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=c,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=g,this.edgeUVs=v,this.edgeIds=m,this.edgeVAO=y,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function A(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function M(t){var e=n(t,g.vertex,g.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}function S(t){var e=n(t,v.vertex,v.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}function E(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function C(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function P(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var c=r[l],u=0;u<2;++u){var f=c[0];2===c.length&&(f=c[u]);for(var d=n[f][0],m=n[f][1],g=i[f],v=1-g,y=this.positions[d],x=this.positions[m],b=0;b<3;++b)o[s++]=g*y[b]+v*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},k.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,"contourEnable"in t&&(this.contourEnable=t.contourEnable),"contourColor"in t&&(this.contourColor=t.contourColor),"lineWidth"in t&&(this.lineWidth=t.lineWidth),"lightPosition"in t&&(this.lightPosition=t.lightPosition),this.hasAlpha=!1,"opacity"in t&&(this.opacity=t.opacity,this.opacity<1&&(this.hasAlpha=!0)),"opacityscale"in t&&(this.opacityscale=t.opacityscale,this.hasAlpha=!0),"ambient"in t&&(this.ambientLight=t.ambient),"diffuse"in t&&(this.diffuseLight=t.diffuse),"specular"in t&&(this.specularLight=t.specular),"roughness"in t&&(this.roughness=t.roughness),"fresnel"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t,e){for(var r=f({colormap:t,nshades:256,format:"rgba"}),n=new Uint8Array(1024),i=0;i<256;++i){for(var a=r[i],o=0;o<3;++o)n[4*i+o]=a[o];n[4*i+3]=e?255*A(i/255,e):255*a[3]}return u(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var i=[],a=[],l=[],c=[],h=[],p=[],d=[],m=[],g=[],v=[],y=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,M=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=s.faceNormals(r,n,M)),T||w||(w=s.vertexNormals(r,n,k));var S=t.vertexColors,E=t.cellColors,L=t.meshColor||[1,1,1,1],C=t.vertexUVs,P=t.vertexIntensity,I=t.cellUVs,O=t.cellIntensity,z=1/0,D=-1/0;if(!C&&!I)if(P)if(t.vertexIntensityBounds)z=+t.vertexIntensityBounds[0],D=+t.vertexIntensityBounds[1];else for(var R=0;R<P.length;++R){var F=P[R];z=Math.min(z,F),D=Math.max(D,F)}else if(O)if(t.cellIntensityBounds)z=+t.cellIntensityBounds[0],D=+t.cellIntensityBounds[1];else for(R=0;R<O.length;++R){F=O[R];z=Math.min(z,F),D=Math.max(D,F)}else for(R=0;R<n.length;++R){F=n[R][2];z=Math.min(z,F),D=Math.max(D,F)}this.intensity=P||(O||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n)),this.pickVertex=!(O||E);var B=t.pointSizes,N=t.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(R=0;R<n.length;++R)for(var j=n[R],U=0;U<3;++U)!isNaN(j[U])&&isFinite(j[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],j[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],j[U]));var V=0,H=0,q=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[W=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;v.push(j[0],j[1],j[2]),X=S?S[W]:E?E[R]:L,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===X.length?y.push(X[0],X[1],X[2],this.opacity):(y.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],x.push(Z[0],Z[1]),B?b.push(B[W]):b.push(N),_.push(R),q+=1;break;case 2:for(U=0;U<2;++U){j=n[W=G[U]];for(var Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t}for(U=0;U<2;++U){j=n[W=G[U]];p.push(j[0],j[1],j[2]),X=S?S[W]:E?E[R]:L,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===X.length?d.push(X[0],X[1],X[2],this.opacity):(d.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],m.push(Z[0],Z[1]),g.push(R)}H+=1;break;case 3:for(U=0;U<3;++U)for(j=n[W=G[U]],Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t;for(U=0;U<3;++U){var W,X,Z,J;j=n[W=G[2-U]];i.push(j[0],j[1],j[2]),(X=S?S[W]:E?E[R]:L)?this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===X.length?a.push(X[0],X[1],X[2],this.opacity):(a.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)):a.push(.5,.5,.5,1),Z=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],c.push(Z[0],Z[1]),J=w?w[W]:T[R],l.push(J[0],J[1],J[2]),h.push(R)}V+=1}}this.pointCount=q,this.edgeCount=H,this.triangleCount=V,this.pointPositions.update(v),this.pointColors.update(y),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(m),this.edgeIds.update(new Uint32Array(g)),this.trianglePositions.update(i),this.triangleColors.update(a),this.triangleUVs.update(c),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(h))}},k.drawTransparent=k.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,inverseModel:w.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=c(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);l(u,s.view,s.model),l(u,s.projection,u),c(u,u);for(o=0;o<3;++o)s.eyePosition[o]=u[12+o]/u[15];var f,h=u[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/h}this.triangleCount>0&&((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind());this.edgeCount>0&&this.lineWidth>0&&((f=this.lineShader).bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind());this.pointCount>0&&((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind());this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((f=this.contourShader).bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};((s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0)&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;a<r.length;++a)i[a]=n[r[a]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],c=this.positions[r[1]],u=this.positions[r[2]],f=[(l[0]+c[0]+u[0])/3,(l[1]+c[1]+u[1])/3,(l[2]+c[2]+u[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:f}}var h=m(i,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!h)return null;var p=h[2],d=0;for(a=0;a<r.length;++a)d+=p[a]*this.intensity[r[a]];return{position:h[1],index:r[h[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[h[0]]]}},k.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},e.exports=function(t,e){1===arguments.length&&(t=(e=t).gl);var r=t.getExtension("OES_standard_derivatives")||t.getExtension("MOZ_OES_standard_derivatives")||t.getExtension("WEBKIT_OES_standard_derivatives");if(!r)throw new Error("derivatives not supported");var n=M(t),s=S(t),l=E(t),c=L(t),f=C(t),h=P(t),p=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=i(t),m=i(t),g=i(t),v=i(t),y=i(t),x=a(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:m,type:t.FLOAT,size:4},{buffer:g,type:t.FLOAT,size:2},{buffer:v,type:t.FLOAT,size:3}]),b=i(t),_=i(t),w=i(t),k=i(t),A=a(t,[{buffer:b,type:t.FLOAT,size:3},{buffer:k,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:_,type:t.FLOAT,size:4},{buffer:w,type:t.FLOAT,size:2}]),I=i(t),O=i(t),z=i(t),D=i(t),R=i(t),F=a(t,[{buffer:I,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:O,type:t.FLOAT,size:4},{buffer:z,type:t.FLOAT,size:2},{buffer:D,type:t.FLOAT,size:1}]),B=i(t),N=a(t,[{buffer:B,type:t.FLOAT,size:3}]),j=new T(t,p,n,s,l,c,f,h,d,y,m,g,v,x,b,k,_,w,A,I,R,O,z,D,F,B,N);return j.update(e),j}},{"./lib/closest-point":110,"./lib/shaders":111,colormap:53,"gl-buffer":78,"gl-mat4/invert":98,"gl-mat4/multiply":100,"gl-shader":132,"gl-texture2d":146,"gl-vao":150,ndarray:259,normals:261,"simplicial-complex-contour":291,"typedarray-pool":308}],113:[function(t,e,r){"use strict";e.exports=function(t){var e=t.gl,r=n(e,[0,0,0,1,1,0,1,1]),s=i(e,a.boxVert,a.lineFrag);return new o(t,r,s)};var n=t("gl-buffer"),i=t("gl-shader"),a=t("./shaders");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,i){var a=this.plot,o=this.shader,c=a.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=i,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{"./shaders":116,"gl-buffer":78,"gl-shader":132}],114:[function(t,e,r){"use strict";e.exports=function(t){var e=t.gl,r=n(e),a=i(e,o.gridVert,o.gridFrag),l=i(e,o.tickVert,o.gridFrag);return new s(t,r,a,l)};var n=t("gl-buffer"),i=t("gl-shader"),a=t("binary-search-bounds"),o=t("./shaders");function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var c,u,f,h,p,d=s.prototype;d.draw=(c=[0,0],u=[0,0],f=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,i=t.gl,a=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,h=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,m=0;m<2;++m){var g=a[m],v=a[m+2]-g,y=.5*(o[m+2]+o[m]),x=o[m+2]-o[m];u[m]=2*v/x,c[m]=2*(g-y)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=c,r.uniforms.dataScale=u;var b=0;for(m=0;m<2;++m){f[0]=f[1]=0,f[m]=1,r.uniforms.dataAxis=f,r.uniforms.lineWidth=l[m]/(s[m+2]-s[m])*d,r.uniforms.color=h[m];var _=6*n[m].length;p[m]&&_&&i.drawArrays(i.TRIANGLES,b,_),b+=_}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],i=[0,0],o=[0,0];return function(){for(var s=this.plot,c=this.vbo,u=this.tickShader,f=this.ticks,h=s.gl,p=s._tickBounds,d=s.dataBox,m=s.viewBox,g=s.pixelRatio,v=s.screenBox,y=v[2]-v[0],x=v[3]-v[1],b=m[2]-m[0],_=m[3]-m[1],w=0;w<2;++w){var T=p[w],k=p[w+2]-T,A=.5*(d[w+2]+d[w]),M=d[w+2]-d[w];e[w]=2*k/M,t[w]=2*(T-A)/M}e[0]*=b/y,t[0]*=b/y,e[1]*=_/x,t[1]*=_/x,u.bind(),c.bind(),u.attributes.dataCoord.pointer();var S=u.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,L=s.tickMarkWidth,C=s.tickMarkColor,P=6*f[0].length,I=Math.min(a.ge(f[0],(d[0]-p[0])/(p[2]-p[0]),l),f[0].length),O=Math.min(a.gt(f[0],(d[2]-p[0])/(p[2]-p[0]),l),f[0].length),z=0+6*I,D=6*Math.max(0,O-I),R=Math.min(a.ge(f[1],(d[1]-p[1])/(p[3]-p[1]),l),f[1].length),F=Math.min(a.gt(f[1],(d[3]-p[1])/(p[3]-p[1]),l),f[1].length),B=P+6*R,N=6*Math.max(0,F-R);i[0]=2*(m[0]-E[1])/y-1,i[1]=(m[3]+m[1])/x-1,o[0]=E[1]*g/y,o[1]=L[1]*g/x,N&&(S.color=C[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(m[2]+m[0])/y-1,i[1]=2*(m[1]-E[0])/x-1,o[0]=L[0]*g/y,o[1]=E[0]*g/x,D&&(S.color=C[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,z,D)),i[0]=2*(m[2]+E[3])/y-1,i[1]=(m[3]+m[1])/x-1,o[0]=E[3]*g/y,o[1]=L[3]*g/x,N&&(S.color=C[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(m[2]+m[0])/y-1,i[1]=2*(m[3]+E[2])/x-1,o[0]=L[2]*g/y,o[1]=E[2]*g/x,D&&(S.color=C[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,z,D))}}(),d.update=(h=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),i=(this.plot.zeroLineEnable,0),a=[[],[]],o=0;o<2;++o)for(var s=a[o],l=e[o],c=r[o],u=r[o+2],f=0;f<l.length;++f){var d=(l[f].x-c)/(u-c);s.push(d);for(var m=0;m<6;++m)n[i++]=d,n[i++]=h[m],n[i++]=p[m]}this.ticks=a,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},{"./shaders":116,"binary-search-bounds":31,"gl-buffer":78,"gl-shader":132}],115:[function(t,e,r){"use strict";e.exports=function(t){var e=t.gl,r=n(e,[-1,-1,-1,1,1,-1,1,1]),s=i(e,a.lineVert,a.lineFrag);return new o(t,r,s)};var n=t("gl-buffer"),i=t("gl-shader"),a=t("./shaders");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,i,a){var o=this.plot,c=this.shader,u=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,c.uniforms.start=s,c.uniforms.end=l,c.uniforms.width=i*o.pixelRatio,c.uniforms.color=a,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{"./shaders":116,"gl-buffer":78,"gl-shader":132}],116:[function(t,e,r){"use strict";var n=t("glslify"),i=n(["precision lowp float;\n#define GLSLIFY 1\nuniform vec4 color;\nvoid main() {\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\n}\n"]);e.exports={lineVert:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 coord;\n\nuniform vec4 screenBox;\nuniform vec2 start, end;\nuniform float width;\n\nvec2 perp(vec2 v) {\n  return vec2(v.y, -v.x);\n}\n\nvec2 screen(vec2 v) {\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\n}\n\nvoid main() {\n  vec2 delta = normalize(perp(start - end));\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\n}\n"]),lineFrag:i,textVert:n(["#define GLSLIFY 1\nattribute vec3 textCoordinate;\n\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\nuniform float angle;\n\nvoid main() {\n  float dataOffset  = textCoordinate.z;\n  vec2 glyphOffset  = textCoordinate.xy;\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\n    glyphMatrix * glyphOffset * textScale + screenOffset;\n  gl_Position = vec4(screenCoordinate, 0, 1);\n}\n"]),textFrag:i,gridVert:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 dataCoord;\n\nuniform vec2 dataAxis, dataShift, dataScale;\nuniform float lineWidth;\n\nvoid main() {\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\n  gl_Position = vec4(pos, 0, 1);\n}\n"]),gridFrag:i,boxVert:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 coord;\n\nuniform vec4 screenBox;\nuniform vec2 lo, hi;\n\nvec2 screen(vec2 v) {\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\n}\n\nvoid main() {\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\n}\n"]),tickVert:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 dataCoord;\n\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\n\nvoid main() {\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\n}\n"])}},{glslify:231}],117:[function(t,e,r){"use strict";e.exports=function(t){var e=t.gl,r=n(e),a=i(e,s.textVert,s.textFrag);return new l(t,r,a)};var n=t("gl-buffer"),i=t("gl-shader"),a=t("text-cache"),o=t("binary-search-bounds"),s=t("./shaders");function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var c,u,f,h,p,d,m=l.prototype;m.drawTicks=(c=[0,0],u=[0,0],f=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],i=this.tickOffset[t],a=e.gl,s=e.viewBox,l=e.dataBox,h=e.screenBox,p=e.pixelRatio,d=e.tickEnable,m=e.tickPad,g=e.tickColor,v=e.tickAngle,y=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],T=this.labelCount[t],k=o.lt(n,l[t]),A=o.le(n,l[t+2]);c[0]=c[1]=0,c[t]=1,u[t]=(s[2+t]+s[t])/(h[2+t]-h[t])-1;var M=2/h[2+(1^t)]-h[1^t];u[1^t]=M*s[1^t]-1,d[t]&&(u[1^t]-=M*p*m[t],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=g[t],r.uniforms.angle=v[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),y[t]&&T&&(u[1^t]-=M*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=u,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),u[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(u[1^t]+=M*p*m[t+2],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=g[t+2],r.uniforms.angle=v[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),y[t+2]&&T&&(u[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=u,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),m.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,c=r.pixelRatio;if(this.titleCount){for(var u=0;u<2;++u)e[u]=2*(o[u]*c-a[u])/(a[2+u]-a[u])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),m.bind=(h=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,c=.5*(n[o+2]+n[o]),u=n[o+2]-n[o],f=a[o],m=a[o+2]-f,g=i[o],v=i[o+2]-g;p[o]=2*l/u*m/v,h[o]=2*(s-c)/u*m/v}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=h,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),m.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,c=t.bounds;for(o=0;o<2;++o){var u=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e<h.length;++e){var p=h[e],d=p.x,m=p.text,g=p.font||"sans-serif";i=p.fontSize||12;for(var v=1/(c[o+2]-c[o]),y=c[o],x=m.split("\n"),b=0;b<x.length;b++)for(n=a(g,x[b]).data,r=0;r<n.length;r+=2)s.push(n[r]*i,-n[r+1]*i-b*i*1.2,(d-y)*v);u.push(Math.floor(s.length/3)),f.push(d)}this.tickOffset[o]=u,this.tickX[o]=f}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=a(t.labelFont[o],t.labels[o],{textAlign:"center"}).data,i=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=a(t.titleFont,t.title).data,i=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},m.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{"./shaders":116,"binary-search-bounds":31,"gl-buffer":78,"gl-shader":132,"text-cache":303}],118:[function(t,e,r){"use strict";e.exports=function(t){var e=t.gl,r=n(e,[e.drawingBufferWidth,e.drawingBufferHeight]),c=new l(e,r);return c.grid=i(c),c.text=a(c),c.line=o(c),c.box=s(c),c.update(t),c};var n=t("gl-select-static"),i=t("./lib/grid"),a=t("./lib/text"),o=t("./lib/line"),s=t("./lib/box");function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var c=l.prototype;function u(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function f(t,e){return t.x-e.x}c.setDirty=function(){this.dirty=this.pickDirty=!0},c.setOverlayDirty=function(){this.dirty=!0},c.nextDepthValue=function(){return this._depthCounter++/65536},c.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,i=this.pixelRatio,a=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var c=this.borderColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var u=this.backgroundColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var f=this.zeroLineEnable,h=this.zeroLineColor,p=this.zeroLineWidth;if(f[0]||f[1]){o.bind();for(var d=0;d<2;++d)if(f[d]&&n[d]<=0&&n[d+2]>=0){var m=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(m,e[1],m,e[3],p[d],h[d]):o.drawLine(e[0],m,e[2],m,p[d],h[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var g=this.borderLineEnable,v=this.borderLineWidth,y=this.borderLineColor;for(g[1]&&o.drawLine(r[0],r[1]-.5*v[1]*i,r[0],r[3]+.5*v[3]*i,v[1],y[1]),g[0]&&o.drawLine(r[0]-.5*v[0]*i,r[1],r[2]+.5*v[2]*i,r[1],v[0],y[0]),g[3]&&o.drawLine(r[2],r[1]-.5*v[1]*i,r[2],r[3]+.5*v[3]*i,v[3],y[3]),g[2]&&o.drawLine(r[0]-.5*v[0]*i,r[3],r[2]+.5*v[2]*i,r[3],v[2],y[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},c.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl,this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},c.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,i=this.viewBox,a=0|Math.round((t-i[0]/r)*n),o=0|Math.round((e-i[1]/r)*n),s=this.pickBuffer.query(a,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),c=this.objects,u=0;u<c.length;++u){var f=c[u].pick(a,o,l);if(f)return f}return null}},c.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},c.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},c.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},c.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]);this.screenBox;this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,i=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/i,10,10/i]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=u(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=u(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=u(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!("titleEnable"in t)||!!t.titleEnable,this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=u(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=u(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=u(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var a=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=a[s].slice(0);0!==l.length&&(l.sort(f),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:a}),this.text.update({bounds:o,ticks:a,labels:t.labels||["x","y"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||["sans-serif","sans-serif"],title:t.title||"",titleSize:t.titleSize||18,titleFont:t.titleFont||"sans-serif"}),this.static=!!t.static,this.setDirty()},c.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();this.objects.length=0;for(t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},c.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},c.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},c.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},c.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},{"./lib/box":113,"./lib/grid":114,"./lib/line":115,"./lib/text":117,"gl-select-static":131}],119:[function(t,e,r){"use strict";e.exports=function(t,e){t=t||document.body,e=e||{};var r=[.01,1/0];"distanceLimits"in e&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]);"zoomMin"in e&&(r[0]=e.zoomMin);"zoomMax"in e&&(r[1]=e.zoomMax);var c=i({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||"orbit",distanceLimits:r}),u=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],f=0,h=t.clientWidth,p=t.clientHeight,d={keyBindingMode:"rotate",enableWheel:!0,view:c,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:c.modes,_ortho:e._ortho||e.projection&&"orthographic"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,i=e-2*r;c.idle(e-r),c.recalcMatrix(i),c.flush(e-(100+2*r));for(var a=!0,o=c.computedMatrix,s=0;s<16;++s)a=a&&u[s]===o[s],u[s]=o[s];var l=t.clientWidth===h&&t.clientHeight===p;return h=t.clientWidth,p=t.clientHeight,a?!l:(f=Math.exp(c.computedRadius[0]),!0)},lookAt:function(t,e,r){c.lookAt(c.lastT(),t,e,r)},rotate:function(t,e,r){c.rotate(c.lastT(),t,e,r)},pan:function(t,e,r){c.pan(c.lastT(),t,e,r)},translate:function(t,e,r){c.translate(c.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return c.computedMatrix},set:function(t){return c.setMatrix(c.lastT(),t),c.computedMatrix},enumerable:!0},mode:{get:function(){return c.getMode()},set:function(t){var e=c.computedUp.slice(),r=c.computedEye.slice(),i=c.computedCenter.slice();if(c.setMode(t),"turntable"===t){var a=n();c._active.lookAt(a,r,i,e),c._active.lookAt(a+500,r,i,[0,0,1]),c._active.flush(a)}return c.getMode()},enumerable:!0},center:{get:function(){return c.computedCenter},set:function(t){return c.lookAt(c.lastT(),null,t),c.computedCenter},enumerable:!0},eye:{get:function(){return c.computedEye},set:function(t){return c.lookAt(c.lastT(),t),c.computedEye},enumerable:!0},up:{get:function(){return c.computedUp},set:function(t){return c.lookAt(c.lastT(),null,null,t),c.computedUp},enumerable:!0},distance:{get:function(){return f},set:function(t){return c.setDistance(c.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return c.getDistanceLimits(r)},set:function(t){return c.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener("contextmenu",(function(t){return t.preventDefault(),!1})),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,i,a){var o=d.keyBindingMode;if(!1!==o){var s="rotate"===o,l="pan"===o,u="zoom"===o,h=!!a.control,p=!!a.alt,m=!!a.shift,g=!!(1&e),v=!!(2&e),y=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(i-d._lastY),w=d.flipX?1:-1,T=d.flipY?1:-1,k=Math.PI*d.rotateSpeed,A=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&g&&!h&&!p&&!m||g&&!h&&!p&&m)&&c.rotate(A,w*k*b,-T*k*_,0),(l&&g&&!h&&!p&&!m||v||g&&h&&!p&&!m)&&c.pan(A,-d.translateSpeed*b*f,d.translateSpeed*_*f,0),u&&g&&!h&&!p&&!m||y||g&&!h&&p&&!m)){var M=-d.zoomSpeed*_/window.innerHeight*(A-c.lastT())*100;c.pan(A,0,0,f*(Math.exp(M)-1))}return d._lastX=r,d._lastY=i,d._lastMods=a,!0}}d.mouseListener=a(t,e),t.addEventListener("touchstart",(function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods)}),!!l&&{passive:!0}),t.addEventListener("touchmove",(function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener("touchend",(function(t){e(0,d._lastX,d._lastY,d._lastMods)}),!!l&&{passive:!0}),d.wheelListener=o(t,(function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,i=d.flipY?1:-1,a=n();if(Math.abs(t)>Math.abs(e))c.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-c.lastT())/20;c.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=t("right-now"),i=t("3d-view"),a=t("mouse-change"),o=t("mouse-wheel"),s=t("mouse-event-offset"),l=t("has-passive-events")},{"3d-view":7,"has-passive-events":232,"mouse-change":247,"mouse-event-offset":248,"mouse-wheel":250,"right-now":278}],120:[function(t,e,r){var n=t("glslify"),i=t("gl-shader"),a=n(["precision mediump float;\n#define GLSLIFY 1\nattribute vec2 position;\nvarying vec2 uv;\nvoid main() {\n  uv = position;\n  gl_Position = vec4(position, 0, 1);\n}"]),o=n(["precision mediump float;\n#define GLSLIFY 1\n\nuniform sampler2D accumBuffer;\nvarying vec2 uv;\n\nvoid main() {\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\n  gl_FragColor = min(vec4(1,1,1,1), accum);\n}"]);e.exports=function(t){return i(t,a,o,null,[{name:"position",type:"vec2"}])}},{"gl-shader":132,glslify:231}],121:[function(t,e,r){"use strict";var n=t("./camera.js"),i=t("gl-axes3d"),a=t("gl-axes3d/properties"),o=t("gl-spikes3d"),s=t("gl-select-static"),l=t("gl-fbo"),c=t("a-big-triangle"),u=t("mouse-change"),f=t("gl-mat4/perspective"),h=t("gl-mat4/ortho"),p=t("./lib/shader"),d=t("is-mobile")({tablet:!0,featureDetect:!0});function m(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function g(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}if(e>0){r=Math.round(Math.pow(10,e));return Math.ceil(t/r)*r}return Math.ceil(t)}function v(t){return"boolean"!=typeof t||t}e.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;if(!e){if(e=document.createElement("canvas"),t.container)t.container.appendChild(e);else document.body.appendChild(e)}var r=t.gl;r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext("webgl",e))||(r=t.getContext("experimental-webgl",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d}));if(!r)throw new Error("webgl not supported");var y=t.bounds||[[-10,-10,-10],[10,10,10]],x=new m,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&"orthographic"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||"turntable",_ortho:w},k=t.axes||{},A=i(r,k);A.enable=!k.disable;var M=t.spikes||{},S=o(r,M),E=[],L=[],C=[],P=[],I=!0,O=!0,z=new Array(16),D=new Array(16),R={view:null,projection:z,model:D,_ortho:!1},F=(O=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),B=t.cameraObject||n(e,T),N={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:B,axes:A,axesPixels:null,spikes:S,bounds:y,objects:E,shape:F,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:v(t.autoResize),autoBounds:v(t.autoBounds),autoScale:!!t.autoScale,autoCenter:v(t.autoCenter),clipToBounds:v(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:R,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,O=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},j=[r.drawingBufferWidth/N.pixelRatio|0,r.drawingBufferHeight/N.pixelRatio|0];function U(){if(!N._stopped&&N.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*N.pixelRatio),a=0|Math.ceil(n*N.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||"absolute",o.left="0px",o.top="0px",o.width=r+"px",o.height=n+"px",I=!0}}}N.autoResize&&U();function V(){for(var t=E.length,e=P.length,n=0;n<e;++n)C[n]=0;t:for(n=0;n<t;++n){var i=E[n],a=i.pickSlots;if(a){for(var o=0;o<e;++o)if(C[o]+a<255){L[n]=o,i.setPickBase(C[o]+1),C[o]+=a;continue t}var l=s(r,F);L[n]=e,P.push(l),C.push(a),i.setPickBase(1),e+=1}else L[n]=-1}for(;e>0&&0===C[e-1];)C.pop(),P.pop().dispose()}function H(){if(N.contextLost)return!0;r.isContextLost()&&(N.contextLost=!0,N.mouseListener.enabled=!1,N.selection.object=null,N.oncontextloss&&N.oncontextloss())}window.addEventListener("resize",U),N.update=function(t){N._stopped||(t=t||{},I=!0,O=!0)},N.add=function(t){N._stopped||(t.axes=A,E.push(t),L.push(-1),I=!0,O=!0,V())},N.remove=function(t){if(!N._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),I=!0,O=!0,V())}},N.dispose=function(){if(!N._stopped&&(N._stopped=!0,window.removeEventListener("resize",U),e.removeEventListener("webglcontextlost",H),N.mouseListener.enabled=!1,!N.contextLost)){A.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();b.dispose();for(t=0;t<P.length;++t)P[t].dispose();_.dispose(),r=null,A=null,S=null,E=[]}},N._mouseRotating=!1,N._prevButtons=0,N.enableMouseListeners=function(){N.mouseListener=u(e,(function(t,e,r){if(!N._stopped){var n=P.length,i=E.length,a=x.object;x.distance=1/0,x.mouse[0]=e,x.mouse[1]=r,x.object=null,x.screen=null,x.dataCoordinate=x.dataPosition=null;var o=!1;if(t&&N._prevButtons)N._mouseRotating=!0;else{N._mouseRotating&&(O=!0),N._mouseRotating=!1;for(var s=0;s<n;++s){var l=P[s].query(e,j[1]-r-1,N.pickRadius);if(l){if(l.distance>x.distance)continue;for(var c=0;c<i;++c){var u=E[c];if(L[c]===s){var f=u.pick(l);f&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=u,x.index=f.distance,x.dataPosition=f.position,x.dataCoordinate=f.dataCoordinate,x.data=f,o=!0)}}}}}a&&a!==x.object&&(a.highlight&&a.highlight(null),I=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),I=!0),(o=o||x.object!==a)&&N.onselect&&N.onselect(x),1&t&&!(1&N._prevButtons)&&N.onclick&&N.onclick(x),N._prevButtons=t}}))},e.addEventListener("webglcontextlost",H);var q=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],G=[q[0].slice(),q[1].slice()];function Y(){if(!H()){U();var t=N.camera.tick();R.view=N.camera.matrix,I=I||t,O=O||t,A.pixelRatio=N.pixelRatio,S.pixelRatio=N.pixelRatio;var e=E.length,n=q[0],i=q[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<e;++o){(C=E[o]).pixelRatio=N.pixelRatio,C.axes=N.axes,I=I||!!C.dirty,O=O||!!C.dirty;var s=C.bounds;if(s)for(var l=s[0],u=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),i[p]=Math.max(i[p],u[p])}var d=N.bounds;if(N.autoBounds)for(p=0;p<3;++p){if(i[p]<n[p])n[p]=-1,i[p]=1;else{n[p]===i[p]&&(n[p]-=1,i[p]+=1);var m=.05*(i[p]-n[p]);n[p]=n[p]-m,i[p]=i[p]+m}d[0][p]=n[p],d[1][p]=i[p]}var v=!1;for(p=0;p<3;++p)v=v||G[0][p]!==d[0][p]||G[1][p]!==d[1][p],G[0][p]=d[0][p],G[1][p]=d[1][p];if(O=O||v,I=I||v){if(v){var y=[0,0,0];for(o=0;o<3;++o)y[o]=g((d[1][o]-d[0][o])/10);A.autoTicks?A.update({bounds:d,tickSpacing:y}):A.update({bounds:d})}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;F[0]=T,F[1]=k,j[0]=0|Math.max(T/N.pixelRatio,1),j[1]=0|Math.max(k/N.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,i=n.projection,a=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,c=t.zFar,u=t.fovy,p=o/s;e?(h(i,-p,p,-1,1,l,c),n._ortho=!0):(f(i,u,p,l,c),n._ortho=!1);for(var d=0;d<16;++d)a[d]=0;a[15]=1;var m=0;for(d=0;d<3;++d)m=Math.max(m,r[1][d]-r[0][d]);for(d=0;d<3;++d)t.autoScale?a[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):a[5*d]=1/m,t.autoCenter&&(a[12+d]=.5*-a[5*d]*(r[0][d]+r[1][d]))}(N,w);for(o=0;o<e;++o){(C=E[o]).axesBounds=d,N.clipToBounds&&(C.clipBounds=d)}x.object&&(N.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),O&&(O=!1,function(){if(!H()){r.colorMask(!0,!0,!0,!0),r.depthMask(!0),r.disable(r.BLEND),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL);for(var t=E.length,e=P.length,n=0;n<e;++n){var i=P[n];i.shape=j,i.begin();for(var a=0;a<t;++a)if(L[a]===n){var o=E[a];o.drawPick&&(o.pixelRatio=1,o.drawPick(R))}i.end()}}}()),N.axesPixels=a(N.axes,R,T,k),N.onrender&&N.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,k),N.clearRGBA(),r.depthMask(!0),r.colorMask(!0,!0,!0,!0),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL),r.disable(r.BLEND),r.disable(r.CULL_FACE);var M=!1;A.enable&&(M=M||A.isTransparent(),A.draw(R)),S.axes=A,x.object&&S.draw(R),r.disable(r.CULL_FACE);for(o=0;o<e;++o){(C=E[o]).axes=A,C.pixelRatio=N.pixelRatio,C.isOpaque&&C.isOpaque()&&C.draw(R),C.isTransparent&&C.isTransparent()&&(M=!0)}if(M){b.shape=F,b.bind(),r.clear(r.DEPTH_BUFFER_BIT),r.colorMask(!1,!1,!1,!1),r.depthMask(!0),r.depthFunc(r.LESS),A.enable&&A.isTransparent()&&A.drawTransparent(R);for(o=0;o<e;++o){(C=E[o]).isOpaque&&C.isOpaque()&&C.draw(R)}r.enable(r.BLEND),r.blendEquation(r.FUNC_ADD),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.colorMask(!0,!0,!0,!0),r.depthMask(!1),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),A.isTransparent()&&A.drawTransparent(R);for(o=0;o<e;++o){var C;(C=E[o]).isTransparent&&C.isTransparent()&&C.drawTransparent(R)}r.bindFramebuffer(r.FRAMEBUFFER,null),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.disable(r.DEPTH_TEST),_.bind(),b.color[0].bind(0),_.uniforms.accumBuffer=0,c(r),r.disable(r.BLEND)}I=!1;for(o=0;o<e;++o)E[o].dirty=!1}}}return N.enableMouseListeners(),function t(){if(N._stopped||N.contextLost)return;Y(),requestAnimationFrame(t)}(),N.redraw=function(){N._stopped||(I=!0,Y())},N},createCamera:n}},{"./camera.js":119,"./lib/shader":120,"a-big-triangle":8,"gl-axes3d":70,"gl-axes3d/properties":77,"gl-fbo":86,"gl-mat4/ortho":101,"gl-mat4/perspective":102,"gl-select-static":131,"gl-spikes3d":141,"is-mobile":238,"mouse-change":247}],122:[function(t,e,r){var n=t("glslify");r.pointVertex=n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\n\nuniform mat3 matrix;\nuniform float pointSize;\nuniform float pointCloud;\n\nhighp float rand(vec2 co) {\n  highp float a = 12.9898;\n  highp float b = 78.233;\n  highp float c = 43758.5453;\n  highp float d = dot(co.xy, vec2(a, b));\n  highp float e = mod(d, 3.14);\n  return fract(sin(e) * c);\n}\n\nvoid main() {\n  vec3 hgPosition = matrix * vec3(position, 1);\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\n    // if we don't jitter the point size a bit, overall point cloud\n    // saturation 'jumps' on zooming, which is disturbing and confusing\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\n  if(pointCloud != 0.0) { // pointCloud is truthy\n    // get the same square surface as circle would be\n    gl_PointSize *= 0.886;\n  }\n}"]),r.pointFragment=n(["precision mediump float;\n#define GLSLIFY 1\n\nuniform vec4 color, borderColor;\nuniform float centerFraction;\nuniform float pointCloud;\n\nvoid main() {\n  float radius;\n  vec4 baseColor;\n  if(pointCloud != 0.0) { // pointCloud is truthy\n    if(centerFraction == 1.0) {\n      gl_FragColor = color;\n    } else {\n      gl_FragColor = mix(borderColor, color, centerFraction);\n    }\n  } else {\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\n    if(radius > 1.0) {\n      discard;\n    }\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\n  }\n}\n"]),r.pickVertex=n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec4 pickId;\n\nuniform mat3 matrix;\nuniform float pointSize;\nuniform vec4 pickOffset;\n\nvarying vec4 fragId;\n\nvoid main() {\n  vec3 hgPosition = matrix * vec3(position, 1);\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\n  gl_PointSize = pointSize;\n\n  vec4 id = pickId + pickOffset;\n  id.y += floor(id.x / 256.0);\n  id.x -= floor(id.x / 256.0) * 256.0;\n\n  id.z += floor(id.y / 256.0);\n  id.y -= floor(id.y / 256.0) * 256.0;\n\n  id.w += floor(id.z / 256.0);\n  id.z -= floor(id.z / 256.0) * 256.0;\n\n  fragId = id;\n}\n"]),r.pickFragment=n(["precision mediump float;\n#define GLSLIFY 1\n\nvarying vec4 fragId;\n\nvoid main() {\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\n  if(radius > 1.0) {\n    discard;\n  }\n  gl_FragColor = fragId / 255.0;\n}\n"])},{glslify:231}],123:[function(t,e,r){"use strict";var n=t("gl-shader"),i=t("gl-buffer"),a=t("typedarray-pool"),o=t("./lib/shader");function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}e.exports=function(t,e){var r=t.gl,a=i(r),l=i(r),c=n(r,o.pointVertex,o.pointFragment),u=n(r,o.pickVertex,o.pickFragment),f=new s(t,a,l,c,u);return f.update(e),t.addObject(f),f};var l,c,u=s.prototype;u.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},u.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r("sizeMin",.5),this.sizeMax=r("sizeMax",20),this.color=r("color",[1,0,0,1]).slice(),this.areaRatio=r("areaRatio",1),this.borderColor=r("borderColor",[0,0,0,1]).slice(),this.blend=r("blend",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),c=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e<n;e++)c[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(c),i||a.free(l),o||a.free(c),this.pointCount=n,this.pickOffset=0},u.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],c=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,i=this.plot.dataBox;if(0===this.pointCount)return t;var a=i[2]-i[0],o=i[3]-i[1],s=function(t,e){var r,n=0,i=t.length>>>1;for(r=0;r<i;r++){var a=t[2*r],o=t[2*r+1];a>=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),u=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=u<5,r.uniforms.pointSize=u,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(c[0]=255&t,c[1]=t>>8&255,c[2]=t>>16&255,c[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=c,this.pickOffset=t);var f=n.getParameter(n.BLEND),h=n.getParameter(n.DITHER);return f&&!this.blend&&n.disable(n.BLEND),h&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),f&&!this.blend&&n.enable(n.BLEND),h&&n.enable(n.DITHER),t+this.pointCount}),u.draw=u.unifiedDraw,u.drawPick=u.unifiedDraw,u.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},{"./lib/shader":122,"gl-buffer":78,"gl-shader":132,"typedarray-pool":308}],124:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c=e[0],u=e[1],f=e[2],h=e[3],p=r[0],d=r[1],m=r[2],g=r[3];(a=c*p+u*d+f*m+h*g)<0&&(a=-a,p=-p,d=-d,m=-m,g=-g);1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n);return t[0]=s*c+l*p,t[1]=s*u+l*d,t[2]=s*f+l*m,t[3]=s*h+l*g,t}},{}],125:[function(t,e,r){"use strict";e.exports=function(t){return t||0===t?t.toString():""}},{}],126:[function(t,e,r){"use strict";var n=t("vectorize-text");e.exports=function(t,e,r){var a=i[e];a||(a=i[e]={});if(t in a)return a[t];var o={textAlign:"center",textBaseline:"middle",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,c,u=n(t,o);if(r&&1!==r){for(l=0;l<s.positions.length;++l)for(c=0;c<s.positions[l].length;++c)s.positions[l][c]/=r;for(l=0;l<u.positions.length;++l)for(c=0;c<u.positions[l].length;++c)u.positions[l][c]/=r}var f=[[1/0,1/0],[-1/0,-1/0]],h=u.positions.length;for(l=0;l<h;++l){var p=u.positions[l];for(c=0;c<2;++c)f[0][c]=Math.min(f[0][c],p[c]),f[1][c]=Math.max(f[1][c],p[c])}return a[t]=[s,u,f]};var i={}},{"vectorize-text":311}],127:[function(t,e,r){var n=t("gl-shader"),i=t("glslify"),a=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform vec4 highlightId;\nuniform float highlightScale;\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0,0,0,0);\n  } else {\n    float scale = 1.0;\n    if(distance(highlightId, id) < 0.0001) {\n      scale = highlightScale;\n    }\n\n    vec4 worldPosition = model * vec4(position, 1);\n    vec4 viewPosition = view * worldPosition;\n    viewPosition = viewPosition / viewPosition.w;\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\n\n    gl_Position = clipPosition;\n    interpColor = color;\n    pickId = id;\n    dataCoordinate = position;\n  }\n}"]),o=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform vec2 screenSize;\nuniform vec3 clipBounds[2];\nuniform float highlightScale, pixelRatio;\nuniform vec4 highlightId;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0,0,0,0);\n  } else {\n    float scale = pixelRatio;\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\n      scale *= highlightScale;\n    }\n\n    vec4 worldPosition = model * vec4(position, 1.0);\n    vec4 viewPosition = view * worldPosition;\n    vec4 clipPosition = projection * viewPosition;\n    clipPosition /= clipPosition.w;\n\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\n    interpColor = color;\n    pickId = id;\n    dataCoordinate = position;\n  }\n}"]),s=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform float highlightScale;\nuniform vec4 highlightId;\nuniform vec3 axes[2];\nuniform mat4 model, view, projection;\nuniform vec2 screenSize;\nuniform vec3 clipBounds[2];\nuniform float scale, pixelRatio;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0,0,0,0);\n  } else {\n    float lscale = pixelRatio * scale;\n    if(distance(highlightId, id) < 0.0001) {\n      lscale *= highlightScale;\n    }\n\n    vec4 clipCenter   = projection * view * model * vec4(position, 1);\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\n    vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\n\n    gl_Position = clipPosition;\n    interpColor = color;\n    pickId = id;\n    dataCoordinate = dataPosition;\n  }\n}\n"]),l=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 fragClipBounds[2];\nuniform float opacity;\n\nvarying vec4 interpColor;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\n    interpColor.a * opacity == 0.\n  ) discard;\n  gl_FragColor = interpColor * opacity;\n}\n"]),c=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 fragClipBounds[2];\nuniform float pickGroup;\n\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\n\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\n}"]),u=[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"glyph",type:"vec2"},{name:"id",type:"vec4"}],f={vertex:a,fragment:l,attributes:u},h={vertex:o,fragment:l,attributes:u},p={vertex:s,fragment:l,attributes:u},d={vertex:a,fragment:c,attributes:u},m={vertex:o,fragment:c,attributes:u},g={vertex:s,fragment:c,attributes:u};function v(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}r.createPerspective=function(t){return v(t,f)},r.createOrtho=function(t){return v(t,h)},r.createProject=function(t){return v(t,p)},r.createPickPerspective=function(t){return v(t,d)},r.createPickOrtho=function(t){return v(t,m)},r.createPickProject=function(t){return v(t,g)}},{"gl-shader":132,glslify:231}],128:[function(t,e,r){"use strict";var n=t("is-string-blank"),i=t("gl-buffer"),a=t("gl-vao"),o=t("typedarray-pool"),s=t("gl-mat4/multiply"),l=t("./lib/shaders"),c=t("./lib/glyphs"),u=t("./lib/get-simple-string"),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function p(t,e,r,n){return h(n,n),h(n,n),h(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function m(t){return!0===t||t>1?1:t}function g(t,e,r,n,i,a,o,s,l,c,u,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=c,this.pickOrthoShader=u,this.pickProjectShader=f,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}e.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),c=l.createPickOrtho(e),u=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),m=a(e,[{buffer:f,size:3,type:e.FLOAT},{buffer:h,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),v=new g(e,r,n,o,f,h,p,d,m,s,c,u);return v.update(t),v};var v=g.prototype;v.pickSlots=1,v.setPickBase=function(t){this.pickId=t},v.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},v.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var y=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=f.slice(),k=[0,0,0],A=[[0,0,0],[0,0,0]];function M(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}function L(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,c=r.model||f,u=r.view||f,h=r.projection||f,d=e.axesBounds,m=function(t){for(var e=A,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],y[0]=2/o.drawingBufferWidth,y[1]=2/o.drawingBufferHeight,t.bind(),l.view=u,l.projection=h,l.screenSize=y,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=m,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var g=0;g<3;++g)if(a[g]){l.scale=e.projectScale[g],l.opacity=e.projectOpacity[g];for(var v=T,L=0;L<16;++L)v[L]=0;for(L=0;L<4;++L)v[5*L]=1;v[5*g]=0,i[g]<0?v[12+g]=d[0][g]:v[12+g]=d[1][g],s(v,c,v),l.model=v;var C=(g+1)%3,P=(g+2)%3,I=M(x),O=M(b);I[C]=1,O[P]=1;var z=p(0,0,0,S(_,I)),D=p(0,0,0,S(w,O));if(Math.abs(z[1])>Math.abs(D[1])){var R=z;z=D,D=R,R=I,I=O,O=R;var F=C;C=P,P=F}z[0]<0&&(I[C]=-1),D[1]>0&&(O[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(c[4*C+L],2),N+=Math.pow(c[4*P+L],2);I[C]/=Math.sqrt(B),O[P]/=Math.sqrt(N),l.axes[0]=I,l.axes[1]=O,l.fragClipBounds[0]=E(k,m[0],g,-1e8),l.fragClipBounds[1]=E(k,m[1],g,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}var C=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function P(t,e,r,n,i,a,o){var s=r.gl;if((a===r.projectHasAlpha||o)&&L(e,r,n,i),a===r.hasAlpha||o){t.bind();var l=t.uniforms;l.model=n.model||f,l.view=n.view||f,l.projection=n.projection||f,y[0]=2/s.drawingBufferWidth,y[1]=2/s.drawingBufferHeight,l.screenSize=y,l.highlightId=r.highlightId,l.highlightScale=r.highlightScale,l.fragClipBounds=C,l.clipBounds=r.axes.bounds,l.opacity=r.opacity,l.pickGroup=r.pickId/255,l.pixelRatio=i,r.vao.bind(),r.vao.draw(s.TRIANGLES,r.vertexCount),r.lineWidth>0&&(s.lineWidth(r.lineWidth*i),r.vao.draw(s.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function I(t,e,r,i){var a;a=Array.isArray(t)?e<t.length?t[e]:void 0:t,a=u(a);var o=!0;n(a)&&(a="\u25bc",o=!1);var s=c(a,r,i);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}v.draw=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},v.drawTransparent=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},v.drawPick=function(t){P(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},v.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},v.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},v.update=function(t){if("perspective"in(t=t||{})&&(this.useOrtho=!t.perspective),"orthographic"in t&&(this.useOrtho=!!t.orthographic),"lineWidth"in t&&(this.lineWidth=t.lineWidth),"project"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if("projectScale"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,"projectOpacity"in t){if(Array.isArray(t.projectOpacity))this.projectOpacity=t.projectOpacity.slice();else{r=+t.projectOpacity;this.projectOpacity=[r,r,r]}for(var n=0;n<3;++n)this.projectOpacity[n]=m(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,"opacity"in t&&(this.opacity=m(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l=t.font||"normal",c=t.alignment||[0,0];if(2===c.length)i=c[0],a=c[1];else{i=[],a=[];for(n=0;n<c.length;++n)i[n]=c[n][0],a[n]=c[n][1]}var u=[1/0,1/0,1/0],f=[-1/0,-1/0,-1/0],h=t.glyph,p=t.color,d=t.size,g=t.angle,v=t.lineColor,y=-1,x=0,b=0,_=0;if(s.length){_=s.length;t:for(n=0;n<_;++n){for(var w=s[n],T=0;T<3;++T)if(isNaN(w[T])||!isFinite(w[T]))continue t;var k=(N=I(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;x+=3*k.cells.length,b+=2*A.edges.length}}var S=x+b,E=o.mallocFloat(3*S),L=o.mallocFloat(4*S),C=o.mallocFloat(2*S),P=o.mallocUint32(S);if(S>0){var O=0,z=x,D=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(v)&&Array.isArray(v[0]);t:for(n=0;n<_;++n){y+=1;for(w=s[n],T=0;T<3;++T){if(isNaN(w[T])||!isFinite(w[T]))continue t;f[T]=Math.max(f[T],w[T]),u[T]=Math.min(u[T],w[T])}k=(N=I(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(U=F?n<p.length?p[n]:[0,0,0,0]:p).length){for(T=0;T<3;++T)D[T]=U[T];D[3]=1}else if(4===U.length){for(T=0;T<4;++T)D[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else D[0]=D[1]=D[2]=0,D[3]=1;else D=[1,1,1,0];if(j)if(Array.isArray(v)){var U;if(3===(U=B?n<v.length?v[n]:[0,0,0,0]:v).length){for(T=0;T<3;++T)R[T]=U[T];R[T]=1}else if(4===U.length){for(T=0;T<4;++T)R[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else R[0]=R[1]=R[2]=0,R[3]=1;else R=[1,1,1,0];var V=.5;j?Array.isArray(d)?V=n<d.length?+d[n]:12:d?V=+d:this.useOrtho&&(V=12):V=0;var H=0;Array.isArray(g)?H=n<g.length?+g[n]:0:g&&(H=+g);var q=Math.cos(H),G=Math.sin(H);for(w=s[n],T=0;T<3;++T)f[T]=Math.max(f[T],w[T]),u[T]=Math.min(u[T],w[T]);var Y=i,W=a;Y=0;Array.isArray(i)?Y=n<i.length?i[n]:0:i&&(Y=i);W=0;Array.isArray(a)?W=n<a.length?a[n]:0:a&&(W=a);var X=[Y*=Y>0?1-M[0][0]:Y<0?1+M[1][0]:1,W*=W>0?1-M[0][1]:W<0?1+M[1][1]:1],Z=k.cells||[],J=k.positions||[];for(T=0;T<Z.length;++T)for(var K=Z[T],Q=0;Q<3;++Q){for(var $=0;$<3;++$)E[3*O+$]=w[$];for($=0;$<4;++$)L[4*O+$]=D[$];P[O]=y;var tt=J[K[Q]];C[2*O]=V*(q*tt[0]-G*tt[1]+X[0]),C[2*O+1]=V*(G*tt[0]+q*tt[1]+X[1]),O+=1}for(Z=A.edges,J=A.positions,T=0;T<Z.length;++T)for(K=Z[T],Q=0;Q<2;++Q){for($=0;$<3;++$)E[3*z+$]=w[$];for($=0;$<4;++$)L[4*z+$]=R[$];P[z]=y;tt=J[K[Q]];C[2*z]=V*(q*tt[0]-G*tt[1]+X[0]),C[2*z+1]=V*(G*tt[0]+q*tt[1]+X[1]),z+=1}}}this.bounds=[u,f],this.points=s,this.pointCount=s.length,this.vertexCount=x,this.lineVertexCount=b,this.pointBuffer.update(E),this.colorBuffer.update(L),this.glyphBuffer.update(C),this.idBuffer.update(P),o.free(E),o.free(L),o.free(C),o.free(P)},v.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()}},{"./lib/get-simple-string":125,"./lib/glyphs":126,"./lib/shaders":127,"gl-buffer":78,"gl-mat4/multiply":100,"gl-vao":150,"is-string-blank":239,"typedarray-pool":308}],129:[function(t,e,r){"use strict";var n=t("glslify");r.boxVertex=n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 vertex;\n\nuniform vec2 cornerA, cornerB;\n\nvoid main() {\n  gl_Position = vec4(mix(cornerA, cornerB, vertex), 0, 1);\n}\n"]),r.boxFragment=n(["precision mediump float;\n#define GLSLIFY 1\n\nuniform vec4 color;\n\nvoid main() {\n  gl_FragColor = color;\n}\n"])},{glslify:231}],130:[function(t,e,r){"use strict";var n=t("gl-shader"),i=t("gl-buffer"),a=t("./lib/shaders");function o(t,e,r){this.plot=t,this.boxBuffer=e,this.boxShader=r,this.enabled=!0,this.selectBox=[1/0,1/0,-1/0,-1/0],this.borderColor=[0,0,0,1],this.innerFill=!1,this.innerColor=[0,0,0,.25],this.outerFill=!0,this.outerColor=[0,0,0,.5],this.borderWidth=10}e.exports=function(t,e){var r=t.gl,s=i(r,[0,0,0,1,1,0,1,1]),l=n(r,a.boxVertex,a.boxFragment),c=new o(t,s,l);return c.update(e),t.addOverlay(c),c};var s=o.prototype;s.draw=function(){if(this.enabled){var t=this.plot,e=this.selectBox,r=this.borderWidth,n=(this.innerFill,this.innerColor),i=(this.outerFill,this.outerColor),a=this.borderColor,o=t.box,s=t.screenBox,l=t.dataBox,c=t.viewBox,u=t.pixelRatio,f=(e[0]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],h=(e[1]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1],p=(e[2]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],d=(e[3]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1];if(f=Math.max(f,c[0]),h=Math.max(h,c[1]),p=Math.min(p,c[2]),d=Math.min(d,c[3]),!(p<f||d<h)){o.bind();var m=s[2]-s[0],g=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,m,h,i),o.drawBox(0,h,f,d,i),o.drawBox(0,d,m,g,i),o.drawBox(p,h,m,d,i)),this.innerFill&&o.drawBox(f,h,p,d,n),r>0){var v=r*u;o.drawBox(f-v,h-v,p+v,h+v,a),o.drawBox(f-v,d-v,p+v,d+v,a),o.drawBox(f-v,h-v,f+v,d+v,a),o.drawBox(p-v,h-v,p+v,d+v,a)}}}},s.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},{"./lib/shaders":129,"gl-buffer":78,"gl-shader":132}],131:[function(t,e,r){"use strict";e.exports=function(t,e){var r=e[0],a=e[1],o=n(t,r,a,{}),s=i.mallocUint8(r*a*4);return new l(t,o,s)};var n=t("gl-fbo"),i=t("typedarray-pool"),a=t("ndarray"),o=t("bit-twiddle").nextPow2;function s(t,e,r,n,i){this.coord=[t,e],this.id=r,this.value=n,this.distance=i}function l(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var n=this;this._readCallback=function(){n.gl&&(e.bind(),t.readPixels(0,0,e.shape[0],e.shape[1],t.RGBA,t.UNSIGNED_BYTE,n.buffer),n._readTimeout=null)}}var c=l.prototype;Object.defineProperty(c,"shape",{get:function(){return this.gl?this.fbo.shape.slice():[0,0]},set:function(t){if(this.gl){this.fbo.shape=t;var e=this.fbo.shape[0],r=this.fbo.shape[1];if(r*e*4>this.buffer.length){i.free(this.buffer);for(var n=this.buffer=i.mallocUint8(o(r*e*4)),a=0;a<r*e*4;++a)n[a]=255}return t}}}),c.begin=function(){var t=this.gl;this.shape;t&&(this.fbo.bind(),t.clearColor(1,1,1,1),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT))},c.end=function(){var t=this.gl;t&&(t.bindFramebuffer(t.FRAMEBUFFER,null),this._readTimeout||clearTimeout(this._readTimeout),this._readTimeout=setTimeout(this._readCallback,1))},c.query=function(t,e,r){if(!this.gl)return null;var n=this.fbo.shape.slice();t|=0,e|=0,"number"!=typeof r&&(r=1);var 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t=this.enable,e=this.width,r=this.color,n=this.center,i=this.plot,a=i.line,o=i.dataBox,s=i.viewBox;if(a.bind(),o[0]<=n[0]&&n[0]<=o[2]&&o[1]<=n[1]&&n[1]<=o[3]){var l=s[0]+(n[0]-o[0])/(o[2]-o[0])*(s[2]-s[0]),c=s[1]+(n[1]-o[1])/(o[3]-o[1])*(s[3]-s[1]);t[0]&&a.drawLine(l,c,s[0],c,e[0],r[0]),t[1]&&a.drawLine(l,c,l,s[1],e[1],r[1]),t[2]&&a.drawLine(l,c,s[2],c,e[2],r[2]),t[3]&&a.drawLine(l,c,l,s[3],e[3],r[3])}},i.dispose=function(){this.plot.removeOverlay(this)}},{}],140:[function(t,e,r){"use strict";var n=t("glslify"),i=t("gl-shader"),a=n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 position, color;\nattribute float weight;\n\nuniform mat4 model, view, projection;\nuniform vec3 coordinates[3];\nuniform vec4 colors[3];\nuniform vec2 screenShape;\nuniform float lineWidth;\n\nvarying vec4 fragColor;\n\nvoid main() {\n  vec3 vertexPosition = mix(coordinates[0],\n    mix(coordinates[2], coordinates[1], 0.5 * (position + 1.0)), abs(position));\n\n  vec4 clipPos = projection * view * model * vec4(vertexPosition, 1.0);\n  vec2 clipOffset = (projection * view * model * vec4(color, 0.0)).xy;\n  vec2 delta = weight * clipOffset * screenShape;\n  vec2 lineOffset = normalize(vec2(delta.y, -delta.x)) / screenShape;\n\n  gl_Position   = vec4(clipPos.xy + clipPos.w * 0.5 * lineWidth * lineOffset, clipPos.z, clipPos.w);\n  fragColor     = color.x * colors[0] + color.y * colors[1] + color.z * colors[2];\n}\n"]),o=n(["precision mediump float;\n#define GLSLIFY 1\n\nvarying vec4 fragColor;\n\nvoid main() {\n  gl_FragColor = fragColor;\n}"]);e.exports=function(t){return i(t,a,o,null,[{name:"position",type:"vec3"},{name:"color",type:"vec3"},{name:"weight",type:"float"}])}},{"gl-shader":132,glslify:231}],141:[function(t,e,r){"use strict";var n=t("gl-buffer"),i=t("gl-vao"),a=t("./shaders/index");e.exports=function(t,e){var r=[];function o(t,e,n,i,a,o){var s=[t,e,n,0,0,0,1];s[i+3]=1,s[i]=a,r.push.apply(r,s),s[6]=-1,r.push.apply(r,s),s[i]=o,r.push.apply(r,s),r.push.apply(r,s),s[6]=1,r.push.apply(r,s),s[i]=a,r.push.apply(r,s)}o(0,0,0,0,0,1),o(0,0,0,1,0,1),o(0,0,0,2,0,1),o(1,0,0,1,-1,1),o(1,0,0,2,-1,1),o(0,1,0,0,-1,1),o(0,1,0,2,-1,1),o(0,0,1,0,-1,1),o(0,0,1,1,-1,1);var l=n(t,r),c=i(t,[{type:t.FLOAT,buffer:l,size:3,offset:0,stride:28},{type:t.FLOAT,buffer:l,size:3,offset:12,stride:28},{type:t.FLOAT,buffer:l,size:1,offset:24,stride:28}]),u=a(t);u.attributes.position.location=0,u.attributes.color.location=1,u.attributes.weight.location=2;var f=new s(t,l,c,u);return f.update(e),f};var o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n,this.pixelRatio=1,this.bounds=[[-1e3,-1e3,-1e3],[1e3,1e3,1e3]],this.position=[0,0,0],this.lineWidth=[2,2,2],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.enabled=[!0,!0,!0],this.drawSides=[!0,!0,!0],this.axes=null}var l=s.prototype,c=[0,0,0],u=[0,0,0],f=[0,0];l.isTransparent=function(){return!1},l.drawTransparent=function(t){},l.draw=function(t){var e=this.gl,r=this.vao,n=this.shader;r.bind(),n.bind();var i,a=t.model||o,s=t.view||o,l=t.projection||o;this.axes&&(i=this.axes.lastCubeProps.axis);for(var h=c,p=u,d=0;d<3;++d)i&&i[d]<0?(h[d]=this.bounds[0][d],p[d]=this.bounds[1][d]):(h[d]=this.bounds[1][d],p[d]=this.bounds[0][d]);f[0]=e.drawingBufferWidth,f[1]=e.drawingBufferHeight,n.uniforms.model=a,n.uniforms.view=s,n.uniforms.projection=l,n.uniforms.coordinates=[this.position,h,p],n.uniforms.colors=this.colors,n.uniforms.screenShape=f;for(d=0;d<3;++d)n.uniforms.lineWidth=this.lineWidth[d]*this.pixelRatio,this.enabled[d]&&(r.draw(e.TRIANGLES,6,6*d),this.drawSides[d]&&r.draw(e.TRIANGLES,12,18+12*d));r.unbind()},l.update=function(t){t&&("bounds"in t&&(this.bounds=t.bounds),"position"in t&&(this.position=t.position),"lineWidth"in t&&(this.lineWidth=t.lineWidth),"colors"in t&&(this.colors=t.colors),"enabled"in t&&(this.enabled=t.enabled),"drawSides"in t&&(this.drawSides=t.drawSides))},l.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{"./shaders/index":140,"gl-buffer":78,"gl-vao":150}],142:[function(t,e,r){var n=t("glslify"),i=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n  // Return up-vector for only-z vector.\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n  // Assign z = 0, x = -b, y = a:\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n    return normalize(vec3(-v.y, v.x, 0.0));\n  } else {\n    return normalize(vec3(0.0, v.z, -v.y));\n  }\n}\n\n// Calculate the tube vertex and normal at the given index.\n//\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\n//\n// Each tube segment is made up of a ring of vertices.\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\n// The indexes of tube segments run from 0 to 8.\n//\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\n  float segmentCount = 8.0;\n\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\n\n  vec3 u = getOrthogonalVector(d);\n  vec3 v = normalize(cross(u, d));\n\n  vec3 x = u * cos(angle) * length(d);\n  vec3 y = v * sin(angle) * length(d);\n  vec3 v3 = x + y;\n\n  normal = normalize(v3);\n\n  return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 color, position;\nattribute vec2 uv;\n\nuniform float vectorScale, tubeScale;\nuniform mat4 model, view, projection, inverseModel;\nuniform vec3 eyePosition, lightPosition;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  // Scale the vector magnitude to stay constant with\n  // model & view changes.\n  vec3 normal;\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n  //Lighting geometry parameters\n  vec4 cameraCoordinate = view * tubePosition;\n  cameraCoordinate.xyz /= cameraCoordinate.w;\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n  // vec4 m_position  = model * vec4(tubePosition, 1.0);\n  vec4 t_position  = view * tubePosition;\n  gl_Position      = projection * t_position;\n\n  f_color          = color;\n  f_data           = tubePosition.xyz;\n  f_position       = position.xyz;\n  f_uv             = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n  float NdotH = max(x, 0.0001);\n  float cos2Alpha = NdotH * NdotH;\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n  float roughness2 = roughness * roughness;\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n  return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n  vec3 lightDirection,\n  vec3 viewDirection,\n  vec3 surfaceNormal,\n  float roughness,\n  float fresnel) {\n\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n  //Half angle vector\n  vec3 H = normalize(lightDirection + viewDirection);\n\n  //Geometric term\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\n  float VdotH = max(dot(viewDirection, H), 0.000001);\n  float LdotH = max(dot(lightDirection, H), 0.000001);\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\n  float G = min(1.0, min(G1, G2));\n  \n  //Distribution term\n  float D = beckmannDistribution(NdotH, roughness);\n\n  //Fresnel term\n  float F = pow(1.0 - VdotN, fresnel);\n\n  //Multiply terms and done\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform sampler2D texture;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n  vec3 N = normalize(f_normal);\n  vec3 L = normalize(f_lightDirection);\n  vec3 V = normalize(f_eyeDirection);\n\n  if(gl_FrontFacing) {\n    N = -N;\n  }\n\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n\n  gl_FragColor = litColor * opacity;\n}\n"]),o=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n  // Return up-vector for only-z vector.\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n  // Assign z = 0, x = -b, y = a:\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n    return normalize(vec3(-v.y, v.x, 0.0));\n  } else {\n    return normalize(vec3(0.0, v.z, -v.y));\n  }\n}\n\n// Calculate the tube vertex and normal at the given index.\n//\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\n//\n// Each tube segment is made up of a ring of vertices.\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\n// The indexes of tube segments run from 0 to 8.\n//\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\n  float segmentCount = 8.0;\n\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\n\n  vec3 u = getOrthogonalVector(d);\n  vec3 v = normalize(cross(u, d));\n\n  vec3 x = u * cos(angle) * length(d);\n  vec3 y = v * sin(angle) * length(d);\n  vec3 v3 = x + y;\n\n  normal = normalize(v3);\n\n  return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform float tubeScale;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  vec3 normal;\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n  gl_Position = projection * view * tubePosition;\n  f_id        = id;\n  f_position  = position.xyz;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3  clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n  gl_FragColor = vec4(pickId, f_id.xyz);\n}"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec4"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"vector",type:"vec4"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec4"},{name:"id",type:"vec4"},{name:"vector",type:"vec4"}]}},{glslify:231}],143:[function(t,e,r){"use strict";var n=t("gl-vec3"),i=t("gl-vec4"),a=["xyz","xzy","yxz","yzx","zxy","zyx"],o=function(t,e,r,a){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,c=0;c<l.length;c++)o=Math.max(o,n.length(l[c]));var u=t.map((function(t){return function(t,e,r,a){for(var o=t.points,s=t.velocities,l=t.divergences,c=[],u=[],f=[],h=[],p=[],d=[],m=0,g=0,v=i.create(),y=i.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),g=n.length(_)/a,v=i.create(),n.copy(v,_),v[3]=w;for(var T=0;T<8;T++)p[T]=[b[0],b[1],b[2],T];if(h.length>0)for(T=0;T<8;T++){var k=(T+1)%8;c.push(h[T],p[T],p[k],p[k],h[k],h[T]),f.push(y,v,v,v,y,y),d.push(m,g,g,g,m,m);var A=c.length;u.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=h;h=p,p=M;var S=y;y=v,v=S;var E=m;m=g,g=E}return{positions:c,cells:u,vectors:f,vertexIntensity:d}}(t,r,a,o)})),f=[],h=[],p=[],d=[];for(s=0;s<u.length;s++){var m=u[s],g=f.length;f=f.concat(m.positions),p=p.concat(m.vectors),d=d.concat(m.vertexIntensity);for(c=0;c<m.cells.length;c++){var v=m.cells[c],y=[];h.push(y);for(var x=0;x<v.length;x++)y.push(v[x]+g)}}return{positions:f,cells:h,vectors:p,vertexIntensity:d,colormap:e}},s=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var i=t[r];if(i===e)return r;if(i>e)return r-1}return r},l=function(t,e,r){return t<e?e:t>r?r:t},c=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;n<r;n++){var i=Math.abs(t[n]-t[n-1]);i<e&&(e=i)}return e};e.exports=function(t,e){var r=t.startingPositions,i=t.maxLength||1e3,u=t.tubeSize||1,f=t.absoluteTubeSize,h=t.gridFill||"+x+y+z",p={};-1!==h.indexOf("-x")&&(p.reversedX=!0),-1!==h.indexOf("-y")&&(p.reversedY=!0),-1!==h.indexOf("-z")&&(p.reversedZ=!0),p.filled=a.indexOf(h.replace(/-/g,"").replace(/\+/g,""));var d=t.getVelocity||function(e){return function(t,e,r){var i=e.vectors,a=e.meshgrid,o=t[0],c=t[1],u=t[2],f=a[0].length,h=a[1].length,p=a[2].length,d=s(a[0],o),m=s(a[1],c),g=s(a[2],u),v=d+1,y=m+1,x=g+1;if(d=l(d,0,f-1),v=l(v,0,f-1),m=l(m,0,h-1),y=l(y,0,h-1),g=l(g,0,p-1),x=l(x,0,p-1),d<0||m<0||g<0||v>f-1||y>h-1||x>p-1)return n.create();var b,_,w,T,k,A,M=a[0][d],S=a[0][v],E=a[1][m],L=a[1][y],C=a[2][g],P=(o-M)/(S-M),I=(c-E)/(L-E),O=(u-C)/(a[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(I)||(I=.5),isFinite(O)||(O=.5),r.reversedX&&(d=f-1-d,v=f-1-v),r.reversedY&&(m=h-1-m,y=h-1-y),r.reversedZ&&(g=p-1-g,x=p-1-x),r.filled){case 5:k=g,A=x,w=m*p,T=y*p,b=d*p*h,_=v*p*h;break;case 4:k=g,A=x,b=d*p,_=v*p,w=m*p*f,T=y*p*f;break;case 3:w=m,T=y,k=g*h,A=x*h,b=d*h*p,_=v*h*p;break;case 2:w=m,T=y,b=d*h,_=v*h,k=g*h*f,A=x*h*f;break;case 1:b=d,_=v,k=g*f,A=x*f,w=m*f*p,T=y*f*p;break;default:b=d,_=v,w=m*f,T=y*f,k=g*f*h,A=x*f*h}var z=i[b+w+k],D=i[b+w+A],R=i[b+T+k],F=i[b+T+A],B=i[_+w+k],N=i[_+w+A],j=i[_+T+k],U=i[_+T+A],V=n.create(),H=n.create(),q=n.create(),G=n.create();n.lerp(V,z,B,P),n.lerp(H,D,N,P),n.lerp(q,R,j,P),n.lerp(G,F,U,P);var Y=n.create(),W=n.create();n.lerp(Y,V,q,I),n.lerp(W,H,G,I);var X=n.create();return n.lerp(X,Y,W,O),X}(e,t,p)},m=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},g=[],v=e[0][0],y=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(e<v||e>b||r<y||r>_||n<x||n>w)},k=10*n.distance(e[0],e[1])/i,A=k*k,M=1,S=0,E=r.length;E>1&&(M=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,l=0;l<s;l++){var u=t[l],f=u[0],h=u[1],p=u[2];i[f]||(e.push(f),i[f]=!0),a[h]||(r.push(h),a[h]=!0),o[p]||(n.push(p),o[p]=!0)}var d=c(e),m=c(r),g=c(n),v=Math.min(d,m,g);return isFinite(v)?v:1}(r));for(var L=0;L<E;L++){var C=n.create();n.copy(C,r[L]);var P=[C],I=[],O=d(C),z=C;I.push(O);var D=[],R=m(C,O),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F),g.push({points:P,velocities:I,divergences:D});for(var B=0;B<100*i&&P.length<i&&T(C);){B++;var N=n.clone(O),j=n.squaredLength(N);if(0===j)break;if(j>A&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,C),O=d(N),n.squaredDistance(z,N)-A>-1e-4*A){P.push(N),z=N,I.push(O);R=m(N,O),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F)}C=N}}var U=o(g,t.colormap,S,M);return f?U.tubeScale=f:(0===S&&(S=1),U.tubeScale=.5*u*M/S),U};var u=t("./lib/shaders"),f=t("gl-cone3d").createMesh;e.exports.createTubeMesh=function(t,e){return f(t,e,{shaders:u,traceType:"streamtube"})}},{"./lib/shaders":142,"gl-cone3d":79,"gl-vec3":169,"gl-vec4":205}],144:[function(t,e,r){var n=t("gl-shader"),i=t("glslify"),a=i(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec4 uv;\nattribute vec3 f;\nattribute vec3 normal;\n\nuniform vec3 objectOffset;\nuniform mat4 model, view, projection, inverseModel;\nuniform vec3 lightPosition, eyePosition;\nuniform sampler2D colormap;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n  vec3 localCoordinate = vec3(uv.zw, f.x);\n  worldCoordinate = objectOffset + localCoordinate;\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\n  vec4 clipPosition = projection * view * worldPosition;\n  gl_Position = clipPosition;\n  kill = f.y;\n  value = f.z;\n  planeCoordinate = uv.xy;\n\n  vColor = texture2D(colormap, vec2(value, value));\n\n  //Lighting geometry parameters\n  vec4 cameraCoordinate = view * worldPosition;\n  cameraCoordinate.xyz /= cameraCoordinate.w;\n  lightDirection = lightPosition - cameraCoordinate.xyz;\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\n}\n"]),o=i(["precision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n  float NdotH = max(x, 0.0001);\n  float cos2Alpha = NdotH * NdotH;\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n  float roughness2 = roughness * roughness;\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n  return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat beckmannSpecular(\n  vec3 lightDirection,\n  vec3 viewDirection,\n  vec3 surfaceNormal,\n  float roughness) {\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\n}\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 lowerBound, upperBound;\nuniform float contourTint;\nuniform vec4 contourColor;\nuniform sampler2D colormap;\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform float vertexColor;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n  if (\n    kill > 0.0 ||\n    vColor.a == 0.0 ||\n    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\n  ) discard;\n\n  vec3 N = normalize(surfaceNormal);\n  vec3 V = normalize(eyeDirection);\n  vec3 L = normalize(lightDirection);\n\n  if(gl_FrontFacing) {\n    N = -N;\n  }\n\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n  //decide how to interpolate color \u2014 in vertex or in fragment\n  vec4 surfaceColor =\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\n    step(.5, vertexColor) * vColor;\n\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\n}\n"]),s=i(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec4 uv;\nattribute float f;\n\nuniform vec3 objectOffset;\nuniform mat3 permutation;\nuniform mat4 model, view, projection;\nuniform float height, zOffset;\nuniform sampler2D colormap;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\n  worldCoordinate = objectOffset + dataCoordinate;\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\n\n  vec4 clipPosition = projection * view * worldPosition;\n  clipPosition.z += zOffset;\n\n  gl_Position = clipPosition;\n  value = f + objectOffset.z;\n  kill = -1.0;\n  planeCoordinate = uv.zw;\n\n  vColor = texture2D(colormap, vec2(value, value));\n\n  //Don't do lighting for contours\n  surfaceNormal   = vec3(1,0,0);\n  eyeDirection    = vec3(0,1,0);\n  lightDirection  = vec3(0,0,1);\n}\n"]),l=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec2 shape;\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 surfaceNormal;\n\nvec2 splitFloat(float v) {\n  float vh = 255.0 * v;\n  float upper = floor(vh);\n  float lower = fract(vh);\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\n}\n\nvoid main() {\n  if ((kill > 0.0) ||\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\n\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\n}\n"]);r.createShader=function(t){var e=n(t,a,o,null,[{name:"uv",type:"vec4"},{name:"f",type:"vec3"},{name:"normal",type:"vec3"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createPickShader=function(t){var e=n(t,a,l,null,[{name:"uv",type:"vec4"},{name:"f",type:"vec3"},{name:"normal",type:"vec3"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createContourShader=function(t){var e=n(t,s,o,null,[{name:"uv",type:"vec4"},{name:"f",type:"float"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},r.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:"uv",type:"vec4"},{name:"f",type:"float"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},{"gl-shader":132,glslify:231}],145:[function(t,e,r){"use strict";e.exports=function(t){var e=t.gl,r=y(e),n=b(e),s=x(e),l=_(e),c=i(e),u=a(e,[{buffer:c,size:4,stride:40,offset:0},{buffer:c,size:3,stride:40,offset:16},{buffer:c,size:3,stride:40,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),m=o(e,1,256,e.RGBA,e.UNSIGNED_BYTE);m.minFilter=e.LINEAR,m.magFilter=e.LINEAR;var g=new M(e,[0,0],[[0,0,0],[0,0,0]],r,n,c,u,m,s,l,f,h,p,d,[0,0,0]),v={levels:[[],[],[]]};for(var w in t)v[w]=t[w];return v.colormap=v.colormap||"jet",g.update(v),g};var n=t("bit-twiddle"),i=t("gl-buffer"),a=t("gl-vao"),o=t("gl-texture2d"),s=t("typedarray-pool"),l=t("colormap"),c=t("ndarray-ops"),u=t("ndarray-pack"),f=t("ndarray"),h=t("surface-nets"),p=t("gl-mat4/multiply"),d=t("gl-mat4/invert"),m=t("binary-search-bounds"),g=t("ndarray-gradient"),v=t("./lib/shaders"),y=v.createShader,x=v.createContourShader,b=v.createPickShader,_=v.createPickContourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],T=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],k=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function A(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t<3;++t){var e=k[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();function M(t,e,r,n,i,a,o,l,c,u,h,p,d,m,g){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=g,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=c,this._contourPickShader=u,this._contourBuffer=h,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new A([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=m,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var S=M.prototype;S.genColormap=function(t,e){var r=!1,n=u([l({colormap:t,nshades:256,format:"rgba"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return c.divseq(n,255),this.hasAlphaScale=r,n},S.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},S.isOpaque=function(){return!this.isTransparent()},S.pickSlots=1,S.setPickBase=function(t){this.pickId=t};var E=[0,0,0],L={showSurface:!1,showContour:!1,projections:[w.slice(),w.slice(),w.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function C(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||E,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=L.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var c=L.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)c[i][n]=t.clipBounds[i][n];c[0][r]=-1e8,c[1][r]=1e8}return L.showSurface=o,L.showContour=s,L}var P={model:w,view:w,projection:w,inverseModel:w.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},I=w.slice(),O=[1,0,0,0,1,0,0,0,1];function z(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=P;n.model=t.model||w,n.view=t.view||w,n.projection=t.projection||w,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=O,n.vertexColor=this.vertexColor;var s=I;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var c=s[12+i];for(o=0;o<3;++o)c+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=c/l}var u=C(n,this);if(u.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=u.projections[i],this._shader.uniforms.clipBounds=u.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(u.showContour){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var h=this._contourVAO;for(h.bind(),i=0;i<3;++i)for(f.uniforms.permutation=k[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o<this.contourLevels[i].length;++o)o===this.highlightLevel[i]?(f.uniforms.contourColor=this.highlightColor[i],f.uniforms.contourTint=this.highlightTint[i]):0!==o&&o-1!==this.highlightLevel[i]||(f.uniforms.contourColor=this.contourColor[i],f.uniforms.contourTint=this.contourTint[i]),this._contourCounts[i][o]&&(f.uniforms.height=this.contourLevels[i][o],h.draw(r.LINES,this._contourCounts[i][o],this._contourOffsets[i][o]));for(i=0;i<3;++i)for(f.uniforms.model=u.projections[i],f.uniforms.clipBounds=u.clipBounds[i],o=0;o<3;++o)if(this.contourProject[i][o]){f.uniforms.permutation=k[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var m=0;m<this.contourLevels[o].length;++m)m===this.highlightLevel[o]?(f.uniforms.contourColor=this.highlightColor[o],f.uniforms.contourTint=this.highlightTint[o]):0!==m&&m-1!==this.highlightLevel[o]||(f.uniforms.contourColor=this.contourColor[o],f.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][m]&&(f.uniforms.height=this.contourLevels[o][m],h.draw(r.LINES,this._contourCounts[o][m],this._contourOffsets[o][m]))}for(h.unbind(),(h=this._dynamicVAO).bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(f.uniforms.model=n.model,f.uniforms.clipBounds=n.clipBounds,f.uniforms.permutation=k[i],r.lineWidth(this.dynamicWidth[i]*this.pixelRatio),f.uniforms.contourColor=this.dynamicColor[i],f.uniforms.contourTint=this.dynamicTint[i],f.uniforms.height=this.dynamicLevel[i],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),o=0;o<3;++o)this.contourProject[o][i]&&(f.uniforms.model=u.projections[o],f.uniforms.clipBounds=u.clipBounds[o],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));h.unbind()}}S.draw=function(t){return z.call(this,t,!1)},S.drawTransparent=function(t){return z.call(this,t,!0)};var D={model:w,view:w,projection:w,inverseModel:w,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function R(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function F(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function B(t){if(Array.isArray(t)){if(Array.isArray(t))return[F(t[0]),F(t[1]),F(t[2])];var e=F(t);return[e.slice(),e.slice(),e.slice()]}}S.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=D;r.model=t.model||w,r.view=t.view||w,r.projection=t.projection||w,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=O;for(var n=0;n<2;++n)for(var i=r.clipBounds[n],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var o=C(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]*this.pixelRatio),s.uniforms.permutation=k[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(s.uniforms.height=this.contourLevels[a][n],l.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){s.uniforms.permutation=k[a],e.lineWidth(this.contourWidth[a]*this.pixelRatio);for(var c=0;c<this.contourLevels[a].length;++c)this._contourCounts[a][c]&&(s.uniforms.height=this.contourLevels[a][c],l.draw(e.LINES,this._contourCounts[a][c],this._contourOffsets[a][c]))}l.unbind()}},S.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var c=r.position;c[0]=c[1]=c[2]=0;for(var u=0;u<2;++u)for(var f=u?a:1-a,h=0;h<2;++h)for(var p=i+u,d=s+h,g=f*(h?l:1-l),v=0;v<3;++v)c[v]+=this._field[v].get(p,d)*g;for(var y=this._pickResult.level,x=0;x<3;++x)if(y[x]=m.le(this.contourLevels[x],c[x]),y[x]<0)this.contourLevels[x].length>0&&(y[x]=0);else if(y[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][y[x]],_=this.contourLevels[x][y[x]+1];Math.abs(b-c[x])>Math.abs(_-c[x])&&(y[x]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],v=0;v<3;++v)r.dataCoordinate[v]=this._field[v].get(r.index[0],r.index[1]);return r},S.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();c.assign(t.lo(1,1).hi(r[0],r[1]),e),c.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),c.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),c.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),c.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},S.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,"contourWidth"in t&&(this.contourWidth=R(t.contourWidth,Number)),"showContour"in t&&(this.showContour=R(t.showContour,Boolean)),"showSurface"in t&&(this.showSurface=!!t.showSurface),"contourTint"in t&&(this.contourTint=R(t.contourTint,Boolean)),"contourColor"in t&&(this.contourColor=B(t.contourColor)),"contourProject"in t&&(this.contourProject=R(t.contourProject,(function(t){return R(t,Boolean)}))),"surfaceProject"in t&&(this.surfaceProject=t.surfaceProject),"dynamicColor"in t&&(this.dynamicColor=B(t.dynamicColor)),"dynamicTint"in t&&(this.dynamicTint=R(t.dynamicTint,Number)),"dynamicWidth"in t&&(this.dynamicWidth=R(t.dynamicWidth,Number)),"opacity"in t&&(this.opacity=t.opacity),"opacityscale"in t&&(this.opacityscale=t.opacityscale),"colorBounds"in t&&(this.colorBounds=t.colorBounds),"vertexColor"in t&&(this.vertexColor=t.vertexColor?1:0),"colormap"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),"field"in t||"coords"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=f(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error("gl-surface: invalid coordinates for x/y");for(o=0;o<2;++o){var c=l[o];for(v=0;v<2;++v)if(c.shape[v]!==a[v])throw new Error("gl-surface: coords have incorrect shape");this.padField(this._field[o],c)}}else if(t.ticks){var u=t.ticks;if(!Array.isArray(u)||2!==u.length)throw new Error("gl-surface: invalid ticks");for(o=0;o<2;++o){var p=u[o];if((Array.isArray(p)||p.length)&&(p=f(p)),p.shape[0]!==a[o])throw new Error("gl-surface: invalid tick length");var d=f(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var m=[0,0];m[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],m,0)}this._field[0].set(0,0,0);for(var v=0;v<a[0];++v)this._field[0].set(v+1,0,v);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),v=0;v<a[1];++v)this._field[1].set(0,v+1,v);this._field[1].set(0,a[1]+1,a[1]-1)}var y=this._field,x=f(s.mallocFloat(3*y[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)g(x.pick(o),y[o],"mirror");var b=f(s.mallocFloat(3*y[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(v=0;v<a[1]+2;++v){var _=x.get(0,o,v,0),w=x.get(0,o,v,1),k=x.get(1,o,v,0),A=x.get(1,o,v,1),M=x.get(2,o,v,0),S=x.get(2,o,v,1),E=k*S-A*M,L=M*w-S*_,C=_*A-w*k,P=Math.sqrt(E*E+L*L+C*C);P<1e-8?(P=Math.max(Math.abs(E),Math.abs(L),Math.abs(C)))<1e-8?(C=1,L=E=0,P=1):P=1/P:P=1/Math.sqrt(P),b.set(o,v,0,E*P),b.set(o,v,1,L*P),b.set(o,v,2,C*P)}s.free(x.data);var I=[1/0,1/0,1/0],O=[-1/0,-1/0,-1/0],z=1/0,D=-1/0,F=(a[0]-1)*(a[1]-1)*6,N=s.mallocFloat(n.nextPow2(10*F)),j=0,U=0;for(o=0;o<a[0]-1;++o)t:for(v=0;v<a[1]-1;++v){for(var V=0;V<2;++V)for(var H=0;H<2;++H)for(var q=0;q<3;++q){var G=this._field[q].get(1+o+V,1+v+H);if(isNaN(G)||!isFinite(G))continue t}for(q=0;q<6;++q){var Y=o+T[q][0],W=v+T[q][1],X=this._field[0].get(Y+1,W+1),Z=this._field[1].get(Y+1,W+1);G=this._field[2].get(Y+1,W+1),E=b.get(Y+1,W+1,0),L=b.get(Y+1,W+1,1),C=b.get(Y+1,W+1,2),t.intensity&&(J=t.intensity.get(Y,W));var J=t.intensity?t.intensity.get(Y,W):G+this.objectOffset[2];N[j++]=Y,N[j++]=W,N[j++]=X,N[j++]=Z,N[j++]=G,N[j++]=0,N[j++]=J,N[j++]=E,N[j++]=L,N[j++]=C,I[0]=Math.min(I[0],X+this.objectOffset[0]),I[1]=Math.min(I[1],Z+this.objectOffset[1]),I[2]=Math.min(I[2],G+this.objectOffset[2]),z=Math.min(z,J),O[0]=Math.max(O[0],X+this.objectOffset[0]),O[1]=Math.max(O[1],Z+this.objectOffset[1]),O[2]=Math.max(O[2],G+this.objectOffset[2]),D=Math.max(D,J),U+=1}}for(t.intensityBounds&&(z=+t.intensityBounds[0],D=+t.intensityBounds[1]),o=6;o<j;o+=10)N[o]=(N[o]-z)/(D-z);this._vertexCount=U,this._coordinateBuffer.update(N.subarray(0,j)),s.freeFloat(N),s.free(b.data),this.bounds=[I,O],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===z&&this.intensityBounds[1]===D||(r=!0),this.intensityBounds=[z,D]}if("levels"in t){var K=t.levels;for(K=Array.isArray(K[0])?K.slice():[[],[],K],o=0;o<3;++o)K[o]=K[o].slice(),K[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(v=0;v<K[o].length;++v)K[o][v]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(K[o].length!==this.contourLevels[o].length){r=!0;break}for(v=0;v<K[o].length;++v)if(K[o][v]!==this.contourLevels[o][v]){r=!0;break t}}this.contourLevels=K}if(r){y=this._field,a=this.shape;for(var Q=[],$=0;$<3;++$){var tt=this.contourLevels[$],et=[],rt=[],nt=[0,0,0];for(o=0;o<tt.length;++o){var it=h(this._field[$],tt[o]);et.push(Q.length/5|0),U=0;t:for(v=0;v<it.cells.length;++v){var at=it.cells[v];for(q=0;q<2;++q){var ot=it.positions[at[q]],st=ot[0],lt=0|Math.floor(st),ct=st-lt,ut=ot[1],ft=0|Math.floor(ut),ht=ut-ft,pt=!1;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var mt=($+dt+1)%3;for(V=0;V<2;++V){var gt=V?ct:1-ct;for(Y=0|Math.min(Math.max(lt+V,0),a[0]),H=0;H<2;++H){var vt=H?ht:1-ht;if(W=0|Math.min(Math.max(ft+H,0),a[1]),G=dt<2?this._field[mt].get(Y,W):(this.intensity.get(Y,W)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(G)||isNaN(G)){pt=!0;break e}var yt=gt*vt;nt[dt]+=yt*G}}}if(pt){if(q>0){for(var xt=0;xt<5;++xt)Q.pop();U-=1}continue t}Q.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[$]=et,this._contourCounts[$]=rt}var bt=s.mallocFloat(Q.length);for(o=0;o<Q.length;++o)bt[o]=Q[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},S.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},S.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,c=(o+2)%3,u=this._field[o],f=this._field[l],p=this._field[c],d=h(u,r[o]),m=d.cells,g=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<m.length;++e)for(var v=m[e],y=0;y<2;++y){var x=g[v[y]],b=+x[0],_=0|b,w=0|Math.min(_+1,i[0]),T=b-_,k=1-T,A=+x[1],M=0|A,S=0|Math.min(M+1,i[1]),E=A-M,L=1-E,C=k*L,P=k*E,I=T*L,O=T*E,z=C*f.get(_,M)+P*f.get(_,S)+I*f.get(w,M)+O*f.get(w,S),D=C*p.get(_,M)+P*p.get(_,S)+I*p.get(w,M)+O*p.get(w,S);if(isNaN(z)||isNaN(D)){y&&(n-=1);break}a[2*n+0]=z,a[2*n+1]=D,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),s.freeFloat(a)}}},{"./lib/shaders":144,"binary-search-bounds":31,"bit-twiddle":32,colormap:53,"gl-buffer":78,"gl-mat4/invert":98,"gl-mat4/multiply":100,"gl-texture2d":146,"gl-vao":150,ndarray:259,"ndarray-gradient":252,"ndarray-ops":254,"ndarray-pack":255,"surface-nets":302,"typedarray-pool":308}],146:[function(t,e,r){"use strict";var n=t("ndarray"),i=t("ndarray-ops"),a=t("typedarray-pool");e.exports=function(t){if(arguments.length<=1)throw new Error("gl-texture2d: Missing arguments for texture2d constructor");o||c(t);if("number"==typeof arguments[1])return v(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return v(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if("object"==typeof arguments[1]){var e=arguments[1],r=u(e)?e:e.raw;if(r)return y(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return x(t,e)}throw new Error("gl-texture2d: Invalid arguments for texture2d constructor")};var o=null,s=null,l=null;function c(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}function u(t){return"undefined"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||"undefined"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||"undefined"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||"undefined"!=typeof ImageData&&t instanceof ImageData}var f=function(t,e){i.muls(t,e,255)};function h(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error("gl-texture2d: Invalid texture size");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function p(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var d=p.prototype;function m(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function g(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function v(t,e,r,n,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error("gl-texture2d: Invalid texture shape");if(i===t.FLOAT&&!t.getExtension("OES_texture_float"))throw new Error("gl-texture2d: Floating point textures not supported on this platform");var o=g(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new p(t,o,e,r,n,i)}function y(t,e,r,n,i,a){var o=g(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new 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c=0;c<16;++c)this.computedMatrix[c]=.5;this.recalcMatrix(0)}var p=h.prototype;p.setDistanceLimits=function(t,e){t=t>0?Math.log(t):-1/0,e=e>0?Math.log(e):1/0,e=Math.max(e,t),this.radius.bounds[0][0]=t,this.radius.bounds[1][0]=e},p.getDistanceLimits=function(t){var e=this.radius.bounds[0];return t?(t[0]=Math.exp(e[0][0]),t[1]=Math.exp(e[1][0]),t):[Math.exp(e[0][0]),Math.exp(e[1][0])]},p.recalcMatrix=function(t){this.center.curve(t),this.up.curve(t),this.right.curve(t),this.radius.curve(t),this.angle.curve(t);for(var e=this.computedUp,r=this.computedRight,n=0,i=0,a=0;a<3;++a)i+=e[a]*r[a],n+=e[a]*e[a];var l=Math.sqrt(n),u=0;for(a=0;a<3;++a)r[a]-=e[a]*i/n,u+=r[a]*r[a],e[a]/=l;var f=Math.sqrt(u);for(a=0;a<3;++a)r[a]/=f;var h=this.computedToward;o(h,e,r),s(h,h);var p=Math.exp(this.computedRadius[0]),d=this.computedAngle[0],m=this.computedAngle[1],g=Math.cos(d),v=Math.sin(d),y=Math.cos(m),x=Math.sin(m),b=this.computedCenter,_=g*y,w=v*y,T=x,k=-g*x,A=-v*x,M=y,S=this.computedEye,E=this.computedMatrix;for(a=0;a<3;++a){var L=_*r[a]+w*h[a]+T*e[a];E[4*a+1]=k*r[a]+A*h[a]+M*e[a],E[4*a+2]=L,E[4*a+3]=0}var C=E[1],P=E[5],I=E[9],O=E[2],z=E[6],D=E[10],R=P*D-I*z,F=I*O-C*D,B=C*z-P*O,N=c(R,F,B);R/=N,F/=N,B/=N,E[0]=R,E[4]=F,E[8]=B;for(a=0;a<3;++a)S[a]=b[a]+E[2+4*a]*p;for(a=0;a<3;++a){u=0;for(var j=0;j<3;++j)u+=E[a+4*j]*S[j];E[12+a]=-u}E[15]=1},p.getMatrix=function(t,e){this.recalcMatrix(t);var r=this.computedMatrix;if(e){for(var n=0;n<16;++n)e[n]=r[n];return e}return r};var d=[0,0,0];p.rotate=function(t,e,r,n){if(this.angle.move(t,e,r),n){this.recalcMatrix(t);var i=this.computedMatrix;d[0]=i[2],d[1]=i[6],d[2]=i[10];for(var o=this.computedUp,s=this.computedRight,l=this.computedToward,c=0;c<3;++c)i[4*c]=o[c],i[4*c+1]=s[c],i[4*c+2]=l[c];a(i,i,n,d);for(c=0;c<3;++c)o[c]=i[4*c],s[c]=i[4*c+1];this.up.set(t,o[0],o[1],o[2]),this.right.set(t,s[0],s[1],s[2])}},p.pan=function(t,e,r,n){e=e||0,r=r||0,n=n||0,this.recalcMatrix(t);var i=this.computedMatrix,a=(Math.exp(this.computedRadius[0]),i[1]),o=i[5],s=i[9],l=c(a,o,s);a/=l,o/=l,s/=l;var u=i[0],f=i[4],h=i[8],p=u*a+f*o+h*s,d=c(u-=a*p,f-=o*p,h-=s*p),m=(u/=d)*e+a*r,g=(f/=d)*e+o*r,v=(h/=d)*e+s*r;this.center.move(t,m,g,v);var y=Math.exp(this.computedRadius[0]);y=Math.max(1e-4,y+n),this.radius.set(t,Math.log(y))},p.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},p.setMatrix=function(t,e,r,n){var a=1;"number"==typeof r&&(a=0|r),(a<0||a>3)&&(a=1);var o=(a+2)%3;e||(this.recalcMatrix(t),e=this.computedMatrix);var s=e[a],l=e[a+4],f=e[a+8];if(n){var h=Math.abs(s),p=Math.abs(l),d=Math.abs(f),m=Math.max(h,p,d);h===m?(s=s<0?-1:1,l=f=0):d===m?(f=f<0?-1:1,s=l=0):(l=l<0?-1:1,s=f=0)}else{var g=c(s,l,f);s/=g,l/=g,f/=g}var v,y,x=e[o],b=e[o+4],_=e[o+8],w=x*s+b*l+_*f,T=c(x-=s*w,b-=l*w,_-=f*w),k=l*(_/=T)-f*(b/=T),A=f*(x/=T)-s*_,M=s*b-l*x,S=c(k,A,M);if(k/=S,A/=S,M/=S,this.center.jump(t,q,G,Y),this.radius.idle(t),this.up.jump(t,s,l,f),this.right.jump(t,x,b,_),2===a){var E=e[1],L=e[5],C=e[9],P=E*x+L*b+C*_,I=E*k+L*A+C*M;v=R<0?-Math.PI/2:Math.PI/2,y=Math.atan2(I,P)}else{var O=e[2],z=e[6],D=e[10],R=O*s+z*l+D*f,F=O*x+z*b+D*_,B=O*k+z*A+D*M;v=Math.asin(u(R)),y=Math.atan2(B,F)}this.angle.jump(t,y,v),this.recalcMatrix(t);var N=e[2],j=e[6],U=e[10],V=this.computedMatrix;i(V,e);var H=V[15],q=V[12]/H,G=V[13]/H,Y=V[14]/H,W=Math.exp(this.computedRadius[0]);this.center.jump(t,q-N*W,G-j*W,Y-U*W)},p.lastT=function(){return Math.max(this.center.lastT(),this.up.lastT(),this.right.lastT(),this.radius.lastT(),this.angle.lastT())},p.idle=function(t){this.center.idle(t),this.up.idle(t),this.right.idle(t),this.radius.idle(t),this.angle.idle(t)},p.flush=function(t){this.center.flush(t),this.up.flush(t),this.right.flush(t),this.radius.flush(t),this.angle.flush(t)},p.setDistance=function(t,e){e>0&&this.radius.set(t,Math.log(e))},p.lookAt=function(t,e,r,n){this.recalcMatrix(t),e=e||this.computedEye,r=r||this.computedCenter;var i=(n=n||this.computedUp)[0],a=n[1],o=n[2],s=c(i,a,o);if(!(s<1e-6)){i/=s,a/=s,o/=s;var l=e[0]-r[0],f=e[1]-r[1],h=e[2]-r[2],p=c(l,f,h);if(!(p<1e-6)){l/=p,f/=p,h/=p;var d=this.computedRight,m=d[0],g=d[1],v=d[2],y=i*m+a*g+o*v,x=c(m-=y*i,g-=y*a,v-=y*o);if(!(x<.01&&(x=c(m=a*h-o*f,g=o*l-i*h,v=i*f-a*l))<1e-6)){m/=x,g/=x,v/=x,this.up.set(t,i,a,o),this.right.set(t,m,g,v),this.center.set(t,r[0],r[1],r[2]),this.radius.set(t,Math.log(p));var b=a*v-o*g,_=o*m-i*v,w=i*g-a*m,T=c(b,_,w),k=i*l+a*f+o*h,A=m*l+g*f+v*h,M=(b/=T)*l+(_/=T)*f+(w/=T)*h,S=Math.asin(u(k)),E=Math.atan2(M,A),L=this.angle._state,C=L[L.length-1],P=L[L.length-2];C%=2*Math.PI;var I=Math.abs(C+2*Math.PI-E),O=Math.abs(C-E),z=Math.abs(C-2*Math.PI-E);I<O&&(C+=2*Math.PI),z<O&&(C-=2*Math.PI),this.angle.jump(this.angle.lastT(),C,P),this.angle.set(t,E,S)}}}}},{"filtered-vector":68,"gl-mat4/invert":98,"gl-mat4/rotate":103,"gl-vec3/cross":157,"gl-vec3/dot":162,"gl-vec3/normalize":179}],306:[function(t,e,r){"use strict";e.exports=function(t,e,r){var i=t*e,a=n*t,o=a-(a-t),s=t-o,l=n*e,c=l-(l-e),u=e-c,f=s*u-(i-o*c-s*c-o*u);if(r)return r[0]=f,r[1]=i,r;return[f,i]};var n=+(Math.pow(2,27)+1)},{}],307:[function(t,e,r){"use strict";e.exports=function(t,e,r){var n=t+e,i=n-t,a=e-i,o=t-(n-i);if(r)return r[0]=o+a,r[1]=n,r;return[o+a,n]}},{}],308:[function(t,e,r){(function(e){(function(){"use strict";var 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diff --git a/docs/articles/plotting_files/plotly-main-2.25.2/plotly-latest.min.js b/docs/articles/plotting_files/plotly-main-2.25.2/plotly-latest.min.js
new file mode 100644
index 000000000..9f88c0fde
--- /dev/null
+++ b/docs/articles/plotting_files/plotly-main-2.25.2/plotly-latest.min.js
@@ -0,0 +1,8 @@
+/**
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+* Copyright 2012-2025, Plotly, Inc.
+* All rights reserved.
+* Licensed under the MIT license
+*/
+/*! For license information please see plotly.min.js.LICENSE.txt */
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A=v>w,k=s.barLength+2*s.barPad,M=s.barWidth+2*s.barPad,S=d,E=g+y;E+M>u&&(E=u-M);var L=this.container.selectAll("rect.scrollbar-horizontal").data(A?[0]:[]);L.exit().on(".drag",null).remove(),L.enter().append("rect").classed("scrollbar-horizontal",!0).call(i.fill,s.barColor),A?(this.hbar=L.attr({rx:s.barRadius,ry:s.barRadius,x:S,y:E,width:k,height:M}),this._hbarXMin=S+k/2,this._hbarTranslateMax=w-k):(delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax);var C=y>T,P=s.barWidth+2*s.barPad,O=s.barLength+2*s.barPad,I=d+v,D=g;I+P>l&&(I=l-P);var z=this.container.selectAll("rect.scrollbar-vertical").data(C?[0]:[]);z.exit().on(".drag",null).remove(),z.enter().append("rect").classed("scrollbar-vertical",!0).call(i.fill,s.barColor),C?(this.vbar=z.attr({rx:s.barRadius,ry:s.barRadius,x:I,y:D,width:P,height:O}),this._vbarYMin=D+O/2,this._vbarTranslateMax=T-O):(delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax);var R=this.id,F=c-.5,B=C?f+P+.5:f+.5,N=h-.5,j=A?p+M+.5:p+.5,U=o._topdefs.selectAll("#"+R).data(A||C?[0]:[]);if(U.exit().remove(),U.enter().append("clipPath").attr("id",R).append("rect"),A||C?(this._clipRect=U.select("rect").attr({x:Math.floor(F),y:Math.floor(N),width:Math.ceil(B)-Math.floor(F),height:Math.ceil(j)-Math.floor(N)}),this.container.call(a.setClipUrl,R,this.gd),this.bg.attr({x:d,y:g,width:v,height:y})):(this.bg.attr({width:0,height:0}),this.container.on("wheel",null).on(".drag",null).call(a.setClipUrl,null),delete this._clipRect),A||C){var V=n.behavior.drag().on("dragstart",function(){n.event.sourceEvent.preventDefault()}).on("drag",this._onBoxDrag.bind(this));this.container.on("wheel",null).on("wheel",this._onBoxWheel.bind(this)).on(".drag",null).call(V);var 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r=this,n=e[r.id],i=e._size;r._hasClipOnAxisFalse=!1;for(var a=0;a<t.length;a++)if(!1===t[a][0].trace.cliponaxis){r._hasClipOnAxisFalse=!0;break}r.updateLayers(n),r.adjustLayout(n,i),p.generalUpdatePerTraceModule(r.graphDiv,r,t,n),r.layers.plotbg.select("path").call(u.fill,n.bgcolor)},S.makeFramework=function(t){var e=this,r=e.graphDiv,n=t[e.id],i=e.clipId="clip"+e.layoutId+e.id,a=e.clipIdRelative="clip-relative"+e.layoutId+e.id;e.clipDef=o.ensureSingleById(t._clips,"clipPath",i,function(t){t.append("path").attr("d","M0,0Z")}),e.clipDefRelative=o.ensureSingleById(t._clips,"clipPath",a,function(t){t.append("path").attr("d","M0,0Z")}),e.plotContainer=o.ensureSingle(e.container,"g",e.id),e.updateLayers(n),c.setClipUrl(e.layers.backplot,i,r),c.setClipUrl(e.layers.grids,i,r)},S.updateLayers=function(t){var e=this.layers,r=["draglayer","plotbg","backplot","grids"];"below traces"===t.aaxis.layer&&r.push("aaxis","aline"),"below traces"===t.baxis.layer&&r.push("baxis","bline"),"below 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e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[""].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[""].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[""].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[""].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,u.local.invalidDate||u.regionalOptions[""].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,"d"===r||"w"===r){var n=t.toJD()+e*("w"===r?this.daysInWeek():1),i=t.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=t.year()+("y"===r?e:0),o=t.monthOfYear()+("m"===r?e:0);i=t.day(),"y"===r?(t.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):"m"===r&&(function(t){for(;o<t.minMonth;)a--,o+=t.monthsInYear(a);for(var e=t.monthsInYear(a);o>e-1+t.minMonth;)a++,o-=e,e=t.monthsInYear(a)}(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var s=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,s}catch(t){throw this._validateLevel--,t}},_correctAdd:function(t,e,r,n){if(!(this.hasYearZero||"y"!==n&&"m"!==n||0!==e[0]&&t.year()>0==e[0]>0)){var i={y:[1,1,"y"],m:[1,this.monthsInYear(-1),"m"],w:[this.daysInWeek(),this.daysInYear(-1),"d"],d:[1,this.daysInYear(-1),"d"]}[n],a=r<0?-1:1;e=this._add(t,r*i[0]+a*i[1],i[2])}return t.date(e[0],e[1],e[2])},set:function(t,e,r){this._validate(t,this.minMonth,this.minDay,u.local.invalidDate||u.regionalOptions[""].invalidDate);var n="y"===r?e:t.year(),i="m"===r?e:t.month(),a="d"===r?e:t.day();return"y"!==r&&"m"!==r||(a=Math.min(a,this.daysInMonth(n,i))),t.date(n,i,a)},isValid:function(t,e,r){this._validateLevel++;var n=this.hasYearZero||0!==t;if(n){var i=this.newDate(t,e,this.minDay);n=e>=this.minMonth&&e-this.minMonth<this.monthsInYear(i)&&r>=this.minDay&&r-this.minDay<this.daysInMonth(i)}return this._validateLevel--,n},toJSDate:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[""].invalidDate);return u.instance().fromJD(this.toJD(n)).toJSDate()},fromJSDate:function(t){return this.fromJD(u.instance().fromJSDate(t).toJD())},_validate:function(t,e,r,n){if(t.year){if(0===this._validateLevel&&this.name!==t.calendar().name)throw(u.local.differentCalendars||u.regionalOptions[""].differentCalendars).replace(/\{0\}/,this.local.name).replace(/\{1\}/,t.calendar().local.name);return t}try{if(this._validateLevel++,1===this._validateLevel&&!this.isValid(t,e,r))throw n.replace(/\{0\}/,this.local.name);var i=this.newDate(t,e,r);return this._validateLevel--,i}catch(t){throw this._validateLevel--,t}}}),l.prototype=new 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n.add(4-(n.dayOfWeek()||7),"d"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,u.local.invalidMonth||u.regionalOptions[""].invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[""].invalidDate);t=n.year(),e=n.month(),r=n.day(),t<0&&t++,e<3&&(e+=12,t--);var i=Math.floor(t/100),a=2-i+Math.floor(i/4);return Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r+a-1524.5},fromJD:function(t){var e=Math.floor(t+.5),r=Math.floor((e-1867216.25)/36524.25),n=1524+(r=e+1+r-Math.floor(r/4)),i=Math.floor((n-122.1)/365.25),a=Math.floor(365.25*i),o=Math.floor((n-a)/30.6001),s=n-a-Math.floor(30.6001*o),l=o-(o>13.5?13:1),u=i-(l>2.5?4716:4715);return u<=0&&u--,this.newDate(u,l,s)},toJSDate:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[""].invalidDate),i=new Date(n.year(),n.month()-1,n.day());return i.setHours(0),i.setMinutes(0),i.setSeconds(0),i.setMilliseconds(0),i.setHours(i.getHours()>12?i.getHours()+2:0),i},fromJSDate:function(t){return this.newDate(t.getFullYear(),t.getMonth()+1,t.getDate())}});var u=t.exports=new i;u.cdate=a,u.baseCalendar=s,u.calendars.gregorian=l},10017:function(t,e,r){"use strict";var n,i=r(78030),a=r(22138)(),o=r(16423),s=r(94693);if(a){var l=i("RegExp.prototype.exec"),u={},c=function(){throw u},f={toString:c,valueOf:c};"symbol"==typeof Symbol.toPrimitive&&(f[Symbol.toPrimitive]=c),n=function(t){if(!t||"object"!=typeof t)return!1;var e=s(t,"lastIndex");if(!e||!o(e,"value"))return!1;try{l(t,f)}catch(t){return t===u}}}else{var h=i("Object.prototype.toString");n=function(t){return!(!t||"object"!=typeof t&&"function"!=typeof t)&&"[object RegExp]"===h(t)}}t.exports=n},10088:function(t,e,r){"use strict";var n=r(15181);function 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n=r(29278),i=r(92444).templatedArray;r(85669),t.exports=i("image",{visible:{valType:"boolean",dflt:!0,editType:"arraydraw"},source:{valType:"string",editType:"arraydraw"},layer:{valType:"enumerated",values:["below","above"],dflt:"above",editType:"arraydraw"},sizex:{valType:"number",dflt:0,editType:"arraydraw"},sizey:{valType:"number",dflt:0,editType:"arraydraw"},sizing:{valType:"enumerated",values:["fill","contain","stretch"],dflt:"contain",editType:"arraydraw"},opacity:{valType:"number",min:0,max:1,dflt:1,editType:"arraydraw"},x:{valType:"any",dflt:0,editType:"arraydraw"},y:{valType:"any",dflt:0,editType:"arraydraw"},xanchor:{valType:"enumerated",values:["left","center","right"],dflt:"left",editType:"arraydraw"},yanchor:{valType:"enumerated",values:["top","middle","bottom"],dflt:"top",editType:"arraydraw"},xref:{valType:"enumerated",values:["paper",n.idRegex.x.toString()],dflt:"paper",editType:"arraydraw"},yref:{valType:"enumerated",values:["paper",n.idRegex.y.toString()],dflt:"paper",editType:"arraydraw"},editType:"arraydraw"})},10194:function(t){"use 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}\n  else {\n    float borderColorAmt = smoothstep(fragBorderColorLevel - delta, fragBorderColorLevel + delta, dist);\n    float colorAmt = smoothstep(fragColorLevel - delta, fragColorLevel + delta, dist);\n\n    vec4 color = fragBorderColor;\n    color.a *= borderColorAmt;\n    color = mix(color, fragColor, colorAmt);\n    color.a *= opacity;\n\n    gl_FragColor = color;\n  }\n\n}\n"]),s.vert=h(["precision highp float;\n#define GLSLIFY 1\n\nattribute float x, y, xFract, yFract;\nattribute float size, borderSize;\nattribute vec4 colorId, borderColorId;\nattribute float isActive;\n\n// `invariant` effectively turns off optimizations for the position.\n// We need this because -fast-math on M1 Macs is re-ordering\n// floating point operations in a way that causes floating point\n// precision limits to put points in the wrong locations.\ninvariant gl_Position;\n\nuniform bool constPointSize;\nuniform float pixelRatio;\nuniform vec2 scale, scaleFract, translate, translateFract, 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scale\n      + (positionFract + translateFract) * scale\n      + (position + translate) * scaleFract\n      + (positionFract + translateFract) * scaleFract;\n\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\n\n  fragColor = color;\n  fragBorderColor = borderColor;\n  fragWidth = 1. / gl_PointSize;\n\n  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\n  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\n}\n"]),this.drawMarker=t(s);var l=f({},o);l.frag=h(["precision highp float;\n#define GLSLIFY 1\n\nvarying vec4 fragColor, fragBorderColor;\nvarying float fragBorderRadius, fragWidth;\n\nuniform float opacity;\n\nfloat smoothStep(float edge0, float edge1, float x) {\n\tfloat t;\n\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\n\treturn t * t * (3.0 - 2.0 * t);\n}\n\nvoid main() {\n\tfloat radius, alpha = 1.0, delta = fragWidth;\n\n\tradius = length(2.0 * gl_PointCoord.xy - 1.0);\n\n\tif (radius > 1.0 + delta) {\n\t\tdiscard;\n\t}\n\n\talpha -= smoothstep(1.0 - delta, 1.0 + delta, radius);\n\n\tfloat borderRadius = fragBorderRadius;\n\tfloat ratio = smoothstep(borderRadius - delta, borderRadius + delta, radius);\n\tvec4 color = mix(fragColor, fragBorderColor, ratio);\n\tcolor.a *= alpha * opacity;\n\tgl_FragColor = color;\n}\n"]),l.vert=h(["precision highp float;\n#define GLSLIFY 1\n\nattribute float x, y, xFract, yFract;\nattribute float size, borderSize;\nattribute vec4 colorId, borderColorId;\nattribute float isActive;\n\n// `invariant` effectively turns off optimizations for the position.\n// We need this because -fast-math on M1 Macs is re-ordering\n// floating point operations in a way that causes floating point\n// precision limits to put points in the wrong locations.\ninvariant gl_Position;\n\nuniform bool constPointSize;\nuniform float pixelRatio;\nuniform vec2 paletteSize, scale, scaleFract, translate, translateFract;\nuniform sampler2D paletteTexture;\n\nconst float maxSize = 100.;\n\nvarying vec4 fragColor, fragBorderColor;\nvarying float fragBorderRadius, fragWidth;\n\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\n\nbool isDirect = (paletteSize.x < 1.);\n\nvec4 getColor(vec4 id) {\n  return isDirect ? id / 255. : texture2D(paletteTexture,\n    vec2(\n      (id.x + .5) / paletteSize.x,\n      (id.y + .5) / paletteSize.y\n    )\n  );\n}\n\nvoid main() {\n  // ignore inactive points\n  if (isActive == 0.) return;\n\n  vec2 position = vec2(x, y);\n  vec2 positionFract = vec2(xFract, yFract);\n\n  vec4 color = getColor(colorId);\n  vec4 borderColor = getColor(borderColorId);\n\n  float size = size * maxSize / 255.;\n  float borderSize = borderSize * maxSize / 255.;\n\n  gl_PointSize = (size + borderSize) * pointSizeScale;\n\n  vec2 pos = (position + translate) * scale\n      + (positionFract + translateFract) * scale\n      + (position + translate) * scaleFract\n      + (positionFract + translateFract) * scaleFract;\n\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\n\n  fragBorderRadius = 1. - 2. * borderSize / (size + borderSize);\n  fragColor = color;\n  fragBorderColor = borderColor.a == 0. || borderSize == 0. ? vec4(color.rgb, 0.) : borderColor;\n  fragWidth = 1. / gl_PointSize;\n}\n"]),g&&(l.frag=l.frag.replace("smoothstep","smoothStep"),s.frag=s.frag.replace("smoothstep","smoothStep")),this.drawCircle=t(l)}b.defaults={color:"black",borderColor:"transparent",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4},b.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},b.prototype.draw=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];var i=this.groups;if(1===r.length&&Array.isArray(r[0])&&(null===r[0][0]||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var a=0;a<r.length;a++)this.drawItem(a,r[a]);else i.forEach(function(e,r){t.drawItem(r)});return this},b.prototype.drawItem=function(t,e){var r=this.groups,n=r[t];if("number"==typeof e&&(t=e,n=r[e],e=null),n&&n.count&&n.opacity){n.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,n,e));for(var a=[],o=1;o<n.activation.length;o++)n.activation[o]&&(!0===n.activation[o]||n.activation[o].data.length)&&a.push.apply(a,i(this.getMarkerDrawOptions(o,n,e)));a.length&&this.drawMarker(a)}},b.prototype.getMarkerDrawOptions=function(t,e,r){var i=e.range,a=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,u=e.count;if(this.regl,!a)return r?[f({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[f({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var c=[],h=a.range(i,{lod:!0,px:[(i[2]-i[0])/o.width,(i[3]-i[1])/o.height]});if(r){for(var p=s[t].data,d=new Uint8Array(u),v=0;v<r.length;v++){var g=r[v];d[g]=p?p[g]:1}l.subdata(d)}for(var y=h.length;y--;){var m=n(h[y],2),x=m[0],b=m[1];c.push(f({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:b-x}))}return c},b.prototype.update=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];if(r.length){1===r.length&&Array.isArray(r[0])&&(r=r[0]);var i=this.groups,a=this.gl,o=this.regl,s=this.maxSize,u=this.maxColors,h=this.palette;this.groups=i=r.map(function(e,r){var n=i[r];if(void 0===e)return n;null===e?e={positions:null}:"function"==typeof e?e={ondraw:e}:"number"==typeof e[0]&&(e={positions:e}),null===(e=p(e,{positions:"positions data points",snap:"snap cluster lod tree",size:"sizes size radius",borderSize:"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline",color:"colors color fill fill-color fillColor",borderColor:"borderColors borderColor stroke stroke-color strokeColor",marker:"markers marker shape",range:"range dataBox databox",viewport:"viewport viewPort viewBox viewbox",opacity:"opacity alpha transparency",bounds:"bound bounds boundaries limits",tooManyColors:"tooManyColors palette paletteMode optimizePalette enablePalette"})).positions&&(e.positions=[]),null!=e.tooManyColors&&(t.tooManyColors=e.tooManyColors),n||(i[r]=n={id:r,scale:null,translate:null,scaleFract:null,translateFract:null,activation:[],selectionBuffer:o.buffer({data:new Uint8Array(0),usage:"stream",type:"uint8"}),sizeBuffer:o.buffer({data:new Uint8Array(0),usage:"dynamic",type:"uint8"}),colorBuffer:o.buffer({data:new Uint8Array(0),usage:"dynamic",type:"uint8"}),positionBuffer:o.buffer({data:new Uint8Array(0),usage:"dynamic",type:"float"}),positionFractBuffer:o.buffer({data:new Uint8Array(0),usage:"dynamic",type:"float"})},e=f({},b.defaults,e)),e.positions&&!("marker"in e)&&(e.marker=n.marker,delete n.marker),e.marker&&!("positions"in e)&&(e.positions=n.positions,delete n.positions);var g=0,x=0;if(d(n,e,[{snap:!0,size:function(t,e){return null==t&&(t=b.defaults.size),g+=t&&t.length?1:0,t},borderSize:function(t,e){return null==t&&(t=b.defaults.borderSize),g+=t&&t.length?1:0,t},opacity:parseFloat,color:function(e,r){return null==e&&(e=b.defaults.color),e=t.updateColor(e),x++,e},borderColor:function(e,r){return null==e&&(e=b.defaults.borderColor),e=t.updateColor(e),x++,e},bounds:function(t,e,r){return"range"in r||(r.range=null),t},positions:function(t,e,r){var n=e.snap,i=e.positionBuffer,a=e.positionFractBuffer,s=e.selectionBuffer;if(t.x||t.y)return t.x.length?e.xAttr={buffer:o.buffer(t.x),offset:0,stride:4,count:t.x.length}:e.xAttr={buffer:t.x.buffer,offset:4*t.x.offset||0,stride:4*(t.x.stride||1),count:t.x.count},t.y.length?e.yAttr={buffer:o.buffer(t.y),offset:0,stride:4,count:t.y.length}:e.yAttr={buffer:t.y.buffer,offset:4*t.y.offset||0,stride:4*(t.y.stride||1),count:t.y.count},e.count=Math.max(e.xAttr.count,e.yAttr.count),t;t=v(t,"float64");var u=e.count=Math.floor(t.length/2),f=e.bounds=u?l(t,2):null;if(r.range||e.range||(delete e.range,r.range=f),r.marker||e.marker||(delete e.marker,r.marker=null),n&&(!0===n||u>n)?e.tree=c(t,{bounds:f}):n&&n.length&&(e.tree=n),e.tree){var h={primitive:"points",usage:"static",data:e.tree,type:"uint32"};e.elements?e.elements(h):e.elements=o.elements(h)}var p=y.float32(t);return i({data:p,usage:"dynamic"}),a({data:y.fract32(t,p),usage:"dynamic"}),s({data:new Uint8Array(u),type:"uint8",usage:"stream"}),t}},{marker:function(e,r,n){var i=r.activation;if(i.forEach(function(t){return t&&t.destroy&&t.destroy()}),i.length=0,e&&"number"!=typeof e[0]){for(var a=[],s=0,l=Math.min(e.length,r.count);s<l;s++){var u=t.addMarker(e[s]);a[u]||(a[u]=new Uint8Array(r.count)),a[u][s]=1}for(var c=0;c<a.length;c++)if(a[c]){var f={data:a[c],type:"uint8",usage:"static"};i[c]?i[c](f):i[c]=o.buffer(f),i[c].data=a[c]}}else i[t.addMarker(e)]=!0;return e},range:function(t,e,r){var n=e.bounds;if(n)return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=y.fract(e.scale),e.translateFract=y.fract(e.translate),t},viewport:function(t){return m(t||[a.drawingBufferWidth,a.drawingBufferHeight])}}]),g){var _=n,w=_.count,T=_.size,A=_.borderSize,k=_.sizeBuffer,M=new Uint8Array(2*w);if(T.length||A.length)for(var S=0;S<w;S++)M[2*S]=Math.round(255*(null==T[S]?T:T[S])/s),M[2*S+1]=Math.round(255*(null==A[S]?A:A[S])/s);k({data:M,usage:"dynamic"})}if(x){var E,L=n,C=L.count,P=L.color,O=L.borderColor,I=L.colorBuffer;if(t.tooManyColors){if(P.length||O.length){E=new Uint8Array(8*C);for(var D=0;D<C;D++){var z=P[D];E[8*D]=h[4*z],E[8*D+1]=h[4*z+1],E[8*D+2]=h[4*z+2],E[8*D+3]=h[4*z+3];var R=O[D];E[8*D+4]=h[4*R],E[8*D+5]=h[4*R+1],E[8*D+6]=h[4*R+2],E[8*D+7]=h[4*R+3]}}}else if(P.length||O.length){E=new Uint8Array(4*C+2);for(var F=0;F<C;F++)null!=P[F]&&(E[4*F]=P[F]%u,E[4*F+1]=Math.floor(P[F]/u)),null!=O[F]&&(E[4*F+2]=O[F]%u,E[4*F+3]=Math.floor(O[F]/u))}I({data:E||new 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e=(t.data.index[0]-1)/this.dataScaleX-1,r=(t.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(e),this.data.z[0].length-1),0),i=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);t.index=[n,i],t.traceCoordinate=[this.getXat(n,i),this.getYat(n,i),this.getZat(n,i)],t.dataCoordinate=[this.getXat(n,i,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,i,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,i,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var a=0;a<3;a++){null!=t.dataCoordinate[a]&&(t.dataCoordinate[a]*=this.scene.dataScale[a])}var o=this.data.hovertext||this.data.text;return Array.isArray(o)&&o[i]&&void 0!==o[i][n]?t.textLabel=o[i][n]:t.textLabel=o||"",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var d=[2,3,5,7,11,13,17,19,23,29,31,37,41,43,47,53,59,61,67,71,73,79,83,89,97,101,103,107,109,113,127,131,137,139,149,151,157,163,167,173,179,181,191,193,197,199,211,223,227,229,233,239,241,251,257,263,269,271,277,281,283,293,307,311,313,317,331,337,347,349,353,359,367,373,379,383,389,397,401,409,419,421,431,433,439,443,449,457,461,463,467,479,487,491,499,503,509,521,523,541,547,557,563,569,571,577,587,593,599,601,607,613,617,619,631,641,643,647,653,659,661,673,677,683,691,701,709,719,727,733,739,743,751,757,761,769,773,787,797,809,811,821,823,827,829,839,853,857,859,863,877,881,883,887,907,911,919,929,937,941,947,953,967,971,977,983,991,997,1009,1013,1019,1021,1031,1033,1039,1049,1051,1061,1063,1069,1087,1091,1093,1097,1103,1109,1117,1123,1129,1151,1153,1163,1171,1181,1187,1193,1201,1213,1217,1223,1229,1231,1237,1249,1259,1277,1279,1283,1289,1291,1297,1301,1303,1307,1319,1321,1327,1361,1367,1373,1381,1399,1409,1423,1427,1429,1433,1439,1447,1451,1453,1459,1471,1481,1483,1487,1489,1493,1499,1511,1523,1531,1543,1549,1553,1559,1567,1571,1579,1583,1597,1601,1607,1609,1613,1619,1621,1627,1637,1657,1663,1667,1669,1693,1697,1699,1709,1721,1723,1733,1741,1747,1753,1759,1777,1783,1787,1789,1801,1811,1823,1831,1847,1861,1867,1871,1873,1877,1879,1889,1901,1907,1913,1931,1933,1949,1951,1973,1979,1987,1993,1997,1999,2003,2011,2017,2027,2029,2039,2053,2063,2069,2081,2083,2087,2089,2099,2111,2113,2129,2131,2137,2141,2143,2153,2161,2179,2203,2207,2213,2221,2237,2239,2243,2251,2267,2269,2273,2281,2287,2293,2297,2309,2311,2333,2339,2341,2347,2351,2357,2371,2377,2381,2383,2389,2393,2399,2411,2417,2423,2437,2441,2447,2459,2467,2473,2477,2503,2521,2531,2539,2543,2549,2551,2557,2579,2591,2593,2609,2617,2621,2633,2647,2657,2659,2663,2671,2677,2683,2687,2689,2693,2699,2707,2711,2713,2719,2729,2731,2741,2749,2753,2767,2777,2789,2791,2797,2801,2803,2819,2833,2837,2843,2851,2857,2861,2879,2887,2897,2903,2909,2917,2927,2939,2953,2957,2963,2969,2971,2999];function v(t,e){if(t<e)return 0;for(var r=0;0===Math.floor(t%e);)t/=e,r++;return r}function g(t){for(var e=[],r=0;r<d.length;r++){var n=d[r];e.push(v(t,n))}return e}function y(t){for(var e=g(t),r=t,n=0;n<d.length;n++)if(e[n]>0){r=d[n];break}return r}function m(t,e){if(!(t<1||e<1)){for(var r=g(t),n=g(e),i=1,a=0;a<d.length;a++)i*=Math.pow(d[a],Math.max(r[a],n[a]));return i}}p.calcXnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getXat(e-1,0),i=this.getXat(e,0);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r},p.calcYnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getYat(0,e-1),i=this.getYat(0,e);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r};var x=[1,2,4,6,12,24,36,48,60,120,180,240,360,720,840,1260],b=x[9],_=x[13];function w(t,e,r){var n=r[8]+r[2]*e[0]+r[5]*e[1];return t[0]=(r[6]+r[0]*e[0]+r[3]*e[1])/n,t[1]=(r[7]+r[1]*e[0]+r[4]*e[1])/n,t}function T(t,e,r){return function(t,e,r,n){for(var i=[0,0],o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var u=0;u<s;u++)r(i,[l,u],n),t.set(l,u,a(e,i[0],i[1]))}(t,e,w,r),t}function A(t,e){for(var r=!1,n=0;n<t.length;n++)if(e===t[n]){r=!0;break}!1===r&&t.push(e)}p.estimateScale=function(t,e){for(var r=1+function(t){if(0!==t.length){for(var e=1,r=0;r<t.length;r++)e=m(e,t[r]);return e}}(0===e?this.calcXnums(t):this.calcYnums(t));r<b;)r*=2;for(;r>_;)r--,r/=y(r),++r<b&&(r=_);var n=Math.round(r/t);return n>1?n:1},p.refineCoords=function(t){for(var e=this.dataScaleX,r=this.dataScaleY,n=t[0].shape[0],a=t[0].shape[1],o=0|Math.floor(t[0].shape[0]*e+1),s=0|Math.floor(t[0].shape[1]*r+1),l=1+n+1,u=1+a+1,c=i(new Float32Array(l*u),[l,u]),f=[1/e,0,0,0,1/r,0,0,0,1],h=0;h<t.length;++h){this.surface.padField(c,t[h]);var p=i(new Float32Array(o*s),[o,s]);T(p,c,f),t[h]=p}},p.setContourLevels=function(){var t,e,r,n=[[],[],[]],i=[!1,!1,!1],a=!1;for(t=0;t<3;++t)if(this.showContour[t]&&(a=!0,this.contourSize[t]>0&&null!==this.contourStart[t]&&null!==this.contourEnd[t]&&this.contourEnd[t]>this.contourStart[t]))for(i[t]=!0,e=this.contourStart[t];e<this.contourEnd[t];e+=this.contourSize[t])r=e*this.scene.dataScale[t],A(n[t],r);if(a){var o=[[],[],[]];for(t=0;t<3;++t)this.showContour[t]&&(o[t]=i[t]?n[t]:this.scene.contourLevels[t]);this.surface.update({levels:o})}},p.update=function(t){var e,r,n,a,l=this.scene,h=l.fullSceneLayout,p=this.surface,d=u(t),v=l.dataScale,g=t.z[0].length,y=t._ylength,m=l.contourLevels;this.data=t;var x=[];for(e=0;e<3;e++)for(x[e]=[],r=0;r<g;r++)x[e][r]=[];for(r=0;r<g;r++)for(n=0;n<y;n++)x[0][r][n]=this.getXat(r,n,t.xcalendar,h.xaxis),x[1][r][n]=this.getYat(r,n,t.ycalendar,h.yaxis),x[2][r][n]=this.getZat(r,n,t.zcalendar,h.zaxis);if(t.connectgaps)for(t._emptypoints=s(x[2]),o(x[2],t._emptypoints),t._interpolatedZ=[],r=0;r<g;r++)for(t._interpolatedZ[r]=[],n=0;n<y;n++)t._interpolatedZ[r][n]=x[2][r][n];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<y;n++)null==(a=x[e][r][n])?x[e][r][n]=NaN:a=x[e][r][n]*=v[e];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<y;n++)null!=(a=x[e][r][n])&&(this.minValues[e]>a&&(this.minValues[e]=a),this.maxValues[e]<a&&(this.maxValues[e]=a));for(e=0;e<3;e++)this.objectOffset[e]=.5*(this.minValues[e]+this.maxValues[e]);for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<y;n++)null!=(a=x[e][r][n])&&(x[e][r][n]-=this.objectOffset[e]);var b=[i(new Float32Array(g*y),[g,y]),i(new Float32Array(g*y),[g,y]),i(new Float32Array(g*y),[g,y])];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<y;n++)b[e].set(r,n,x[e][r][n]);x=[];var w={colormap:d,levels:[[],[],[]],showContour:[!0,!0,!0],showSurface:!t.hidesurface,contourProject:[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],contourWidth:[1,1,1],contourColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],contourTint:[1,1,1],dynamicColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],dynamicWidth:[1,1,1],dynamicTint:[1,1,1],opacityscale:t.opacityscale,opacity:t.opacity},T=f(t);if(w.intensityBounds=[T.min,T.max],t.surfacecolor){var A=i(new Float32Array(g*y),[g,y]);for(r=0;r<g;r++)for(n=0;n<y;n++)A.set(r,n,t.surfacecolor[n][r]);b.push(A)}else w.intensityBounds[0]*=v[2],w.intensityBounds[1]*=v[2];(_<b[0].shape[0]||_<b[0].shape[1])&&(this.refineData=!1),!0===this.refineData&&(this.dataScaleX=this.estimateScale(b[0].shape[0],0),this.dataScaleY=this.estimateScale(b[0].shape[1],1),1===this.dataScaleX&&1===this.dataScaleY||this.refineCoords(b)),t.surfacecolor&&(w.intensity=b.pop());var k=[!0,!0,!0],M=["x","y","z"];for(e=0;e<3;++e){var S=t.contours[M[e]];k[e]=S.highlight,w.showContour[e]=S.show||S.highlight,w.showContour[e]&&(w.contourProject[e]=[S.project.x,S.project.y,S.project.z],S.show?(this.showContour[e]=!0,w.levels[e]=m[e],p.highlightColor[e]=w.contourColor[e]=c(S.color),S.usecolormap?p.highlightTint[e]=w.contourTint[e]=0:p.highlightTint[e]=w.contourTint[e]=1,w.contourWidth[e]=S.width,this.contourStart[e]=S.start,this.contourEnd[e]=S.end,this.contourSize[e]=S.size):(this.showContour[e]=!1,this.contourStart[e]=null,this.contourEnd[e]=null,this.contourSize[e]=0),S.highlight&&(w.dynamicColor[e]=c(S.highlightcolor),w.dynamicWidth[e]=S.highlightwidth))}(function(t){var e=t[0].rgb,r=t[t.length-1].rgb;return e[0]===r[0]&&e[1]===r[1]&&e[2]===r[2]&&e[3]===r[3]})(d)&&(w.vertexColor=!0),w.objectOffset=this.objectOffset,w.coords=b,p.update(w),p.visible=t.visible,p.enableDynamic=k,p.enableHighlight=k,p.snapToData=!0,"lighting"in t&&(p.ambientLight=t.lighting.ambient,p.diffuseLight=t.lighting.diffuse,p.specularLight=t.lighting.specular,p.roughness=t.lighting.roughness,p.fresnel=t.lighting.fresnel),"lightposition"in t&&(p.lightPosition=[t.lightposition.x,t.lightposition.y,t.lightposition.z])},p.dispose=function(){this.scene.glplot.remove(this.surface),this.surface.dispose()},t.exports=function(t,e){var r=t.glplot.gl,i=n({gl:r}),a=new h(t,i,e.uid);return i._trace=a,a.update(e),t.glplot.add(i),a}},22745:function(t,e,r){"use strict";var n=r(79758),i=r(78945).BADNUM,a=r(54899).smith;t.exports=function(t,e,r){for(var o=e.layers.frontplot.select("g.scatterlayer"),s=e.xaxis,l=e.yaxis,u={xaxis:s,yaxis:l,plot:e.framework,layerClipId:e._hasClipOnAxisFalse?e.clipIds.forTraces:null},c=0;c<r.length;c++)for(var f=r[c],h=0;h<f.length;h++){0===h&&(f[0].trace._xA=s,f[0].trace._yA=l);var p=f[h],d=p.real;if(d===i)p.x=p.y=i;else{var v=a([d,p.imag]);p.x=v[0],p.y=v[1]}}n(t,u,r,o)}},22809:function(t,e,r){"use strict";var n=r(3438).bc,i=r(3438).VG,a=r(3438).rU,o=r(93639),s=i("Exif\0\0");t.exports=function(t){if(!(t.length<2)&&255===t[0]&&216===t[1]&&255===t[2])for(var e=2;;){for(;;){if(t.length-e<2)return;if(255===t[e++])break}for(var r,i,l=t[e++];255===l;)l=t[e++];if(208<=l&&l<=217||1===l)r=0;else{if(!(192<=l&&l<=254))return;if(t.length-e<2)return;r=n(t,e)-2,e+=2}if(217===l||218===l)return;if(225===l&&r>=10&&a(t,e,s)&&(i=o.get_orientation(t.slice(e+6,e+r))),r>=5&&192<=l&&l<=207&&196!==l&&200!==l&&204!==l){if(t.length-e<r)return;var u={width:n(t,e+3),height:n(t,e+1),type:"jpg",mime:"image/jpeg",wUnits:"px",hUnits:"px"};return i>0&&(u.orientation=i),u}e+=r}}},22886:function(t,e,r){"use strict";var n=r(75671),i=r(46329).findBin,a=r(95663),o=r(74176),s=r(77828),l=r(32443);t.exports=function(t){var e=t._a,r=t._b,u=e.length,c=r.length,f=t.aaxis,h=t.baxis,p=e[0],d=e[u-1],v=r[0],g=r[c-1],y=e[e.length-1]-e[0],m=r[r.length-1]-r[0],x=y*n.RELATIVE_CULL_TOLERANCE,b=m*n.RELATIVE_CULL_TOLERANCE;p-=x,d+=x,v-=b,g+=b,t.isVisible=function(t,e){return t>p&&t<d&&e>v&&e<g},t.isOccluded=function(t,e){return t<p||t>d||e<v||e>g},t.setScale=function(){var e=t._x,r=t._y,n=a(t._xctrl,t._yctrl,e,r,f.smoothing,h.smoothing);t._xctrl=n[0],t._yctrl=n[1],t.evalxy=o([t._xctrl,t._yctrl],u,c,f.smoothing,h.smoothing),t.dxydi=s([t._xctrl,t._yctrl],f.smoothing,h.smoothing),t.dxydj=l([t._xctrl,t._yctrl],f.smoothing,h.smoothing)},t.i2a=function(t){var r=Math.max(0,Math.floor(t[0]),u-2),n=t[0]-r;return(1-n)*e[r]+n*e[r+1]},t.j2b=function(t){var e=Math.max(0,Math.floor(t[1]),u-2),n=t[1]-e;return(1-n)*r[e]+n*r[e+1]},t.ij2ab=function(e){return[t.i2a(e[0]),t.j2b(e[1])]},t.a2i=function(t){var r=Math.max(0,Math.min(i(t,e),u-2)),n=e[r],a=e[r+1];return Math.max(0,Math.min(u-1,r+(t-n)/(a-n)))},t.b2j=function(t){var e=Math.max(0,Math.min(i(t,r),c-2)),n=r[e],a=r[e+1];return Math.max(0,Math.min(c-1,e+(t-n)/(a-n)))},t.ab2ij=function(e){return[t.a2i(e[0]),t.b2j(e[1])]},t.i2c=function(e,r){return t.evalxy([],e,r)},t.ab2xy=function(n,i,a){if(!a&&(n<e[0]||n>e[u-1]|i<r[0]||i>r[c-1]))return[!1,!1];var o=t.a2i(n),s=t.b2j(i),l=t.evalxy([],o,s);if(a){var f,h,p,d,v=0,g=0,y=[];n<e[0]?(f=0,h=0,v=(n-e[0])/(e[1]-e[0])):n>e[u-1]?(f=u-2,h=1,v=(n-e[u-1])/(e[u-1]-e[u-2])):h=o-(f=Math.max(0,Math.min(u-2,Math.floor(o)))),i<r[0]?(p=0,d=0,g=(i-r[0])/(r[1]-r[0])):i>r[c-1]?(p=c-2,d=1,g=(i-r[c-1])/(r[c-1]-r[c-2])):d=s-(p=Math.max(0,Math.min(c-2,Math.floor(s)))),v&&(t.dxydi(y,f,p,h,d),l[0]+=y[0]*v,l[1]+=y[1]*v),g&&(t.dxydj(y,f,p,h,d),l[0]+=y[0]*g,l[1]+=y[1]*g)}return l},t.c2p=function(t,e,r){return[e.c2p(t[0]),r.c2p(t[1])]},t.p2x=function(t,e,r){return[e.p2c(t[0]),r.p2c(t[1])]},t.dadi=function(t){var r=Math.max(0,Math.min(e.length-2,t));return e[r+1]-e[r]},t.dbdj=function(t){var e=Math.max(0,Math.min(r.length-2,t));return 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i=e&&e.length,a=i?e[0]*r:t.length,o=Math.abs(M(t,0,a,r));if(i)for(var s=0,l=e.length;s<l;s++){var u=e[s]*r,c=s<l-1?e[s+1]*r:t.length;o-=Math.abs(M(t,u,c,r))}var f=0;for(s=0;s<n.length;s+=3){var h=n[s]*r,p=n[s+1]*r,d=n[s+2]*r;f+=Math.abs((t[h]-t[d])*(t[p+1]-t[h+1])-(t[h]-t[p])*(t[d+1]-t[h+1]))}return 0===o&&0===f?0:Math.abs((f-o)/o)},e.flatten=function(t){for(var e=t[0][0].length,r={vertices:[],holes:[],dimensions:e},n=0,i=0;i<t.length;i++){for(var a=0;a<t[i].length;a++)for(var o=0;o<e;o++)r.vertices.push(t[i][a][o]);i>0&&(n+=t[i-1].length,r.holes.push(n))}return r}},38793:function(t,e,r){"use strict";var n=r(93441),i=r(15181),a=r(26446),o=r(44236).extractOpts;t.exports=function(t,e,r,s,l){l||(l={});var u,c,f,h,p=l.isContour,d=t.cd[0],v=d.trace,g=t.xa,y=t.ya,m=d.x,x=d.y,b=d.z,_=d.xCenter,w=d.yCenter,T=d.zmask,A=v.zhoverformat,k=m,M=x;if(!1!==t.index){try{f=Math.round(t.index[1]),h=Math.round(t.index[0])}catch(e){return void i.error("Error hovering on heatmap, pointNumber must be [row,col], found:",t.index)}if(f<0||f>=b[0].length||h<0||h>b.length)return}else{if(n.inbox(e-m[0],e-m[m.length-1],0)>0||n.inbox(r-x[0],r-x[x.length-1],0)>0)return;if(p){var S;for(k=[2*m[0]-m[1]],S=1;S<m.length;S++)k.push((m[S]+m[S-1])/2);for(k.push([2*m[m.length-1]-m[m.length-2]]),M=[2*x[0]-x[1]],S=1;S<x.length;S++)M.push((x[S]+x[S-1])/2);M.push([2*x[x.length-1]-x[x.length-2]])}f=Math.max(0,Math.min(k.length-2,i.findBin(e,k))),h=Math.max(0,Math.min(M.length-2,i.findBin(r,M)))}var E,L,C=g.c2p(m[f]),P=g.c2p(m[f+1]),O=y.c2p(x[h]),I=y.c2p(x[h+1]);p?(E=d.orig_x||m,L=d.orig_y||x,P=C,u=E[f],I=O,c=L[h]):(E=d.orig_x||_||m,L=d.orig_y||w||x,u=_?E[f]:(E[f]+E[f+1])/2,c=w?L[h]:(L[h]+L[h+1])/2,g&&"category"===g.type&&(u=m[f]),y&&"category"===y.type&&(c=x[h]),v.zsmooth&&(C=P=g.c2p(u),O=I=y.c2p(c)));var D=b[h][f];if(T&&!T[h][f]&&(D=void 0),void 0!==D||v.hoverongaps){var z;Array.isArray(d.hovertext)&&Array.isArray(d.hovertext[h])?z=d.hovertext[h][f]:Array.isArray(d.text)&&Array.isArray(d.text[h])&&(z=d.text[h][f]);var R=o(v),F={type:"linear",range:[R.min,R.max],hoverformat:A,_separators:g._separators,_numFormat:g._numFormat},B=a.tickText(F,D,"hover").text;return[i.extendFlat(t,{index:v._after2before?v._after2before[h][f]:[h,f],distance:t.maxHoverDistance,spikeDistance:t.maxSpikeDistance,x0:C,x1:P,y0:O,y1:I,xLabelVal:u,yLabelVal:c,zLabelVal:D,zLabel:B,text:z})]}}},39028:function(t,e,r){"use strict";var n=r(24761);t.exports={bgcolor:{valType:"color",dflt:n.background,editType:"plot"},bordercolor:{valType:"color",dflt:n.defaultLine,editType:"plot"},borderwidth:{valType:"integer",dflt:0,min:0,editType:"plot"},autorange:{valType:"boolean",dflt:!0,editType:"calc",impliedEdits:{"range[0]":void 0,"range[1]":void 0}},range:{valType:"info_array",items:[{valType:"any",editType:"calc",impliedEdits:{"^autorange":!1}},{valType:"any",editType:"calc",impliedEdits:{"^autorange":!1}}],editType:"calc",impliedEdits:{autorange:!1}},thickness:{valType:"number",dflt:.15,min:0,max:1,editType:"plot"},visible:{valType:"boolean",dflt:!0,editType:"calc"},editType:"calc"}},39420:function(t,e,r){"use strict";var n,i,a=r(46982),o=r(26446),s=r(93441),l=r(93950).gl_plot2d,u=r(93950).gl_spikes2d,c=r(93950).gl_select_box,f=r(8034),h=r(13353),p=r(51051),d=r(25420),v=r(3115),g=v.enforce,y=v.clean,m=r(40243).doAutoRange,x=r(7514),b=x.drawMode,_=x.selectMode,w=["xaxis","yaxis"],T=r(29278).SUBPLOT_PATTERN;function A(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context._scrollZoom.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=h(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=u(this.glplot),this.selectBox=c(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}t.exports=A;var k=A.prototype;k.makeFramework=function(){if(this.staticPlot){if(!(i||(n=document.createElement("canvas"),i=f({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error("Error creating static canvas/context for image server");this.canvas=n,this.gl=i}else{var t=this.container.querySelector(".gl-canvas-focus"),e=f({canvas:t,preserveDrawingBuffer:!0,premultipliedAlpha:!0});if(!e)return d(this),void(this.stopped=!0);this.canvas=t,this.gl=e}var r=this.canvas;r.style.width="100%",r.style.height="100%",r.style.position="absolute",r.style.top="0px",r.style.left="0px",r.style["pointer-events"]="none",this.updateSize(r);var a=this.svgContainer=document.createElementNS("http://www.w3.org/2000/svg","svg");a.style.position="absolute",a.style.top=a.style.left="0px",a.style.width=a.style.height="100%",a.style["z-index"]=20,a.style["pointer-events"]="none";var o=this.mouseContainer=document.createElement("div");o.style.position="absolute",o.style["pointer-events"]="auto",this.pickCanvas=this.container.querySelector(".gl-canvas-pick");var s=this.container;s.appendChild(a),s.appendChild(o);var l=this;o.addEventListener("mouseout",function(){l.isMouseOver=!1,l.unhover()}),o.addEventListener("mouseover",function(){l.isMouseOver=!0})},k.toImage=function(t){t||(t="png"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a);for(var o=0,s=i-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var u=0;u<4;++u){var c=a[4*(r*o+l)+u];a[4*(r*o+l)+u]=a[4*(r*s+l)+u],a[4*(r*s+l)+u]=c}var f=document.createElement("canvas");f.width=r,f.height=i;var h,p=f.getContext("2d",{willReadFrequently:!0}),d=p.createImageData(r,i);switch(d.data.set(a),p.putImageData(d,0,0),t){case"jpeg":h=f.toDataURL("image/jpeg");break;case"webp":h=f.toDataURL("image/webp");break;default:h=f.toDataURL("image/png")}return this.staticPlot&&this.container.removeChild(n),h},k.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,i=r.height,a=0|Math.ceil(e*n),o=0|Math.ceil(e*i);return t.width===a&&t.height===o||(t.width=a,t.height=o),t},k.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+"";return t},k.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(T),r="xaxis"+e[1],n="yaxis"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},k.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,i={},o=i[e._name+".range"]=e.range.slice(),s=i[r._name+".range"]=r.range.slice();i[e._name+".autorange"]=e.autorange,i[r._name+".autorange"]=r.autorange,a.call("_storeDirectGUIEdit",t.layout,t._fullLayout._preGUI,i);var l=n[e._name];l.range=o,l.autorange=e.autorange;var u=n[r._name];u.range=s,u.autorange=r.autorange,i.lastInputTime=this.camera.lastInputTime,t.emit("plotly_relayout",i)},k.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;a<n.length;++a)if(n[a].x!==i[a].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},k.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&a.getComponentMethod("annotations","drawOne")(t,r)}},k.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map(function(e){t[e].dispose(),delete t[e]}),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener("wheel",this.camera.wheelListener),this.camera=null}},k.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var i=r.width,a=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,i,a];var s={_fullLayout:{_axisConstraintGroups:r._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis,_size:r._size}};y(s,this.xaxis),y(s,this.yaxis);var l,u,c=r._size,f=this.xaxis.domain,h=this.yaxis.domain;for(o.viewBox=[c.l+f[0]*c.w,c.b+h[0]*c.h,i-c.r-(1-f[1])*c.w,a-c.t-(1-h[1])*c.h],this.mouseContainer.style.width=c.w*(f[1]-f[0])+"px",this.mouseContainer.style.height=c.h*(h[1]-h[0])+"px",this.mouseContainer.height=c.h*(h[1]-h[0]),this.mouseContainer.style.left=c.l+f[0]*c.w+"px",this.mouseContainer.style.top=c.t+(1-h[1])*c.h+"px",u=0;u<2;++u)(l=this[w[u]])._length=o.viewBox[u+2]-o.viewBox[u],m(this.graphDiv,l),l.setScale();g(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},k.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,i=t.r2l,a=e.r2l;return[i(r[0]),a(n[0]),i(r[1]),a(n[1])]},k.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,i=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[i(t[1]),i(t[3])]},k.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if((i=t[n]).uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){i=t[r];var l=e[r],u=this.traces[i.uid];u?u.update(i,l):(u=i._module.plot(this,i,l),this.traces[i.uid]=u)}this.glplot.objects.sort(function(t,e){return t._trace.index-e._trace.index})},k.updateFx=function(t){_(t)||b(t)?(this.pickCanvas.style["pointer-events"]="none",this.mouseContainer.style["pointer-events"]="none"):(this.pickCanvas.style["pointer-events"]="auto",this.mouseContainer.style["pointer-events"]="auto"),this.mouseContainer.style.cursor="pan"===t?"move":"zoom"===t?"crosshair":null},k.emitPointAction=function(t,e){for(var r,n=t.trace.uid,i=t.pointIndex,a=0;a<this.fullData.length;a++)this.fullData[a].uid===n&&(r=this.fullData[a]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:i,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,i),this.graphDiv.emit(e,{points:[o]})},k.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,i=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var a,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&"zoom"===i.dragmode){this.selectBox.enabled=!0;for(var u=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],c=0;c<2;c++)e.boxStart[c]===e.boxEnd[c]&&(u[c]=t.dataBox[c],u[c+2]=t.dataBox[c+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var f=i._size,h=this.xaxis.domain,p=this.yaxis.domain,d=(a=t.pick(o/t.pixelRatio+f.l+h[0]*f.w,l/t.pixelRatio-(f.t+(1-p[1])*f.h)))&&a.object._trace.handlePick(a);if(d&&n&&this.emitPointAction(d,"plotly_click"),a&&"skip"!==a.object._trace.hoverinfo&&i.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var v=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),v.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,"plotly_hover");var g=this.fullData[v.trace.index]||{},y=v.pointIndex,m=s.castHoverinfo(g,i,y);if(m&&"all"!==m){var x=m.split("+");-1===x.indexOf("x")&&(v.traceCoord[0]=void 0),-1===x.indexOf("y")&&(v.traceCoord[1]=void 0),-1===x.indexOf("z")&&(v.traceCoord[2]=void 0),-1===x.indexOf("text")&&(v.textLabel=void 0),-1===x.indexOf("name")&&(v.name=void 0)}s.loneHover({x:v.screenCoord[0],y:v.screenCoord[1],xLabel:this.hoverFormatter("xaxis",v.traceCoord[0]),yLabel:this.hoverFormatter("yaxis",v.traceCoord[1]),zLabel:v.traceCoord[2],text:v.textLabel,name:v.name,color:s.castHoverOption(g,y,"bgcolor")||v.color,borderColor:s.castHoverOption(g,y,"bordercolor"),fontFamily:s.castHoverOption(g,y,"font.family"),fontSize:s.castHoverOption(g,y,"font.size"),fontColor:s.castHoverOption(g,y,"font.color"),nameLength:s.castHoverOption(g,y,"namelength"),textAlign:s.castHoverOption(g,y,"align")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},k.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit("plotly_unhover"),s.loneUnhover(this.svgContainer))},k.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),"hover").text}}},39442:function(t,e,r){"use strict";var n=r(619);function i(t,e,r,n){var i=r.radialAxis,a=r.angularAxis;i._hovertitle="real",a._hovertitle="imag";var o={};o[e.subplot]={_subplot:r};var s=e._module.formatLabels(t,e,o);n.realLabel=s.realLabel,n.imagLabel=s.imagLabel;var l=t.hi||e.hoverinfo,u=[];function c(t,e){u.push(t._hovertitle+": "+e)}if(!e.hovertemplate){var f=l.split("+");-1!==f.indexOf("all")&&(f=["real","imag","text"]),-1!==f.indexOf("real")&&c(i,n.realLabel),-1!==f.indexOf("imag")&&c(a,n.imagLabel),-1!==f.indexOf("text")&&n.text&&(u.push(n.text),delete n.text),n.extraText=u.join("<br>")}}t.exports={hoverPoints:function(t,e,r,a){var o=n(t,e,r,a);if(o&&!1!==o[0].index){var s=o[0];if(void 0===s.index)return o;var l=t.subplot,u=s.cd[s.index],c=s.trace;if(l.isPtInside(u))return s.xLabelVal=void 0,s.yLabelVal=void 0,i(u,c,l,s),s.hovertemplate=c.hovertemplate,o}},makeHoverPointText:i}},39452:function(t,e,r){var n=r(9915),i=r(18610);function a(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}a.prototype=new n.baseCalendar;var o=n.instance("gregorian");i(a.prototype,{name:"Nanakshahi",jdEpoch:2257673.5,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{"":{name:"Nanakshahi",epochs:["BN","AN"],monthNames:["Chet","Vaisakh","Jeth","Harh","Sawan","Bhadon","Assu","Katak","Maghar","Poh","Magh","Phagun"],monthNamesShort:["Che","Vai","Jet","Har","Saw","Bha","Ass","Kat","Mgr","Poh","Mgh","Pha"],dayNames:["Somvaar","Mangalvar","Budhvaar","Veervaar","Shukarvaar","Sanicharvaar","Etvaar"],dayNamesShort:["Som","Mangal","Budh","Veer","Shukar","Sanichar","Et"],dayNamesMin:["So","Ma","Bu","Ve","Sh","Sa","Et"],digits:null,dateFormat:"dd-mm-yyyy",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[""].invalidYear);return o.leapYear(e.year()+(e.year()<1?1:0)+1469)},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(1-(n.dayOfWeek()||7),"d"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidMonth);(t=i.year())<0&&t++;for(var a=i.day(),s=1;s<i.month();s++)a+=this.daysPerMonth[s-1];return a+o.toJD(t+1468,3,13)},fromJD:function(t){t=Math.floor(t+.5);for(var e=Math.floor((t-(this.jdEpoch-1))/366);t>=this.toJD(e+1,1,1);)e++;for(var r=t-Math.floor(this.toJD(e,1,1)+.5)+1,n=1;r>this.daysInMonth(e,n);)r-=this.daysInMonth(e,n),n++;return this.newDate(e,n,r)}}),n.calendars.nanakshahi=a},39555:function(t,e,r){var n=r(49149);t.exports=function(t,e,r){if(!t)throw new TypeError("must specify data as first parameter");if(r=0|+(r||0),Array.isArray(t)&&t[0]&&"number"==typeof t[0][0]){var i,a,o,s,l=t[0].length,u=t.length*l;e&&"string"!=typeof e||(e=new(n(e||"float32"))(u+r));var c=e.length-r;if(u!==c)throw new Error("source length "+u+" ("+l+"x"+t.length+") does not match destination length "+c);for(i=0,o=r;i<t.length;i++)for(a=0;a<l;a++)e[o++]=null===t[i][a]?NaN:t[i][a]}else if(e&&"string"!=typeof e)e.set(t,r);else{var f=n(e||"float32");if(Array.isArray(t)||"array"===e)for(i=0,o=r,s=(e=new f(t.length+r)).length;o<s;o++,i++)e[o]=null===t[i]?NaN:t[i];else 0===r?e=new f(t):(e=new f(t.length+r)).set(t,r)}return e}},39591:function(t,e,r){"use strict";var n,i,a=r(93950).gl_plot3d,o=a.createCamera,s=a.createScene,l=r(8034),u=r(21757),c=r(46982),f=r(15181),h=f.preserveDrawingBuffer(),p=r(26446),d=r(93441),v=r(98054),g=r(25420),y=r(77494),m=r(31489),x=r(36875),b=r(39616),_=!1;function w(t,e){var r=document.createElement("div"),n=t.container;this.graphDiv=t.graphDiv;var i=document.createElementNS("http://www.w3.org/2000/svg","svg");i.style.position="absolute",i.style.top=i.style.left="0px",i.style.width=i.style.height="100%",i.style["z-index"]=20,i.style["pointer-events"]="none",r.appendChild(i),this.svgContainer=i,r.id=t.id,r.style.position="absolute",r.style.top=r.style.left="0px",r.style.width=r.style.height="100%",n.appendChild(r),this.fullLayout=e,this.id=t.id||"scene",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=m(e,e[this.id]),this.spikeOptions=x(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=c.getComponentMethod("annotations3d","convert"),this.drawAnnotations=c.getComponentMethod("annotations3d","draw"),this.initializeGLPlot()}var T=w.prototype;T.prepareOptions=function(){var t=this,e={canvas:t.canvas,gl:t.gl,glOptions:{preserveDrawingBuffer:h,premultipliedAlpha:!0,antialias:!0},container:t.container,axes:t.axesOptions,spikes:t.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:t.camera,pixelRatio:t.pixelRatio};if(t.staticMode){if(!(i||(n=document.createElement("canvas"),i=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error("error creating static canvas/context for image server");e.gl=i,e.canvas=n}return e};var A=!0;T.tryCreatePlot=function(){var t=this,e=t.prepareOptions(),r=!0;try{t.glplot=s(e)}catch(n){if(t.staticMode||!A||h)r=!1;else{f.warn(["webgl setup failed possibly due to","false preserveDrawingBuffer config.","The mobile/tablet device may not be detected by is-mobile module.","Enabling preserveDrawingBuffer in second attempt to create webgl scene..."].join(" "));try{h=e.glOptions.preserveDrawingBuffer=!0,t.glplot=s(e)}catch(t){h=e.glOptions.preserveDrawingBuffer=!1,r=!1}}}return A=!1,r},T.initializeGLCamera=function(){var t=this,e=t.fullSceneLayout.camera,r="orthographic"===e.projection.type;t.camera=o(t.container,{center:[e.center.x,e.center.y,e.center.z],eye:[e.eye.x,e.eye.y,e.eye.z],up:[e.up.x,e.up.y,e.up.z],_ortho:r,zoomMin:.01,zoomMax:100,mode:"orbit"})},T.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return g(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+".camera"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+".aspectratio"]=t.glplot.getAspectratio(),"manual"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+".aspectmode"]="manual")),e},i=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit("plotly_relayout",e)}};return t.glplot.canvas&&(t.glplot.canvas.addEventListener("mouseup",function(){i(t)}),t.glplot.canvas.addEventListener("touchstart",function(){_=!0}),t.glplot.canvas.addEventListener("wheel",function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}},!!u&&{passive:!1}),t.glplot.canvas.addEventListener("mousemove",function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit("plotly_relayouting",e)}}),t.staticMode||t.glplot.canvas.addEventListener("webglcontextlost",function(r){e&&e.emit&&e.emit("plotly_webglcontextlost",{event:r,layer:t.id})},!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},T.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,i=e.container.getBoundingClientRect();r._fullLayout._calcInverseTransform(r);var a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,"viewBox","0 0 "+s+" "+l),n.setAttributeNS(null,"width",s),n.setAttributeNS(null,"height",l),b(e),e.glplot.axes.update(e.axesOptions);for(var u=Object.keys(e.traces),c=null,h=e.glplot.selection,v=0;v<u.length;++v)"skip"!==(t=e.traces[u[v]]).data.hoverinfo&&t.handlePick(h)&&(c=t),t.setContourLevels&&t.setContourLevels();function g(t,r,n){var i=e.fullSceneLayout[t+"axis"];return"log"!==i.type&&(r=i.d2l(r)),p.hoverLabelText(i,r,n)}if(null!==c){var m=y(e.glplot.cameraParams,h.dataCoordinate);t=c.data;var x,w=r._fullData[t.index],T=h.index,A={xLabel:g("x",h.traceCoordinate[0],t.xhoverformat),yLabel:g("y",h.traceCoordinate[1],t.yhoverformat),zLabel:g("z",h.traceCoordinate[2],t.zhoverformat)},k=d.castHoverinfo(w,e.fullLayout,T),M=(k||"").split("+"),S=k&&"all"===k;w.hovertemplate||S||(-1===M.indexOf("x")&&(A.xLabel=void 0),-1===M.indexOf("y")&&(A.yLabel=void 0),-1===M.indexOf("z")&&(A.zLabel=void 0),-1===M.indexOf("text")&&(h.textLabel=void 0),-1===M.indexOf("name")&&(c.name=void 0));var E=[];"cone"===t.type||"streamtube"===t.type?(A.uLabel=g("x",h.traceCoordinate[3],t.uhoverformat),(S||-1!==M.indexOf("u"))&&E.push("u: "+A.uLabel),A.vLabel=g("y",h.traceCoordinate[4],t.vhoverformat),(S||-1!==M.indexOf("v"))&&E.push("v: "+A.vLabel),A.wLabel=g("z",h.traceCoordinate[5],t.whoverformat),(S||-1!==M.indexOf("w"))&&E.push("w: "+A.wLabel),A.normLabel=h.traceCoordinate[6].toPrecision(3),(S||-1!==M.indexOf("norm"))&&E.push("norm: "+A.normLabel),"streamtube"===t.type&&(A.divergenceLabel=h.traceCoordinate[7].toPrecision(3),(S||-1!==M.indexOf("divergence"))&&E.push("divergence: "+A.divergenceLabel)),h.textLabel&&E.push(h.textLabel),x=E.join("<br>")):"isosurface"===t.type||"volume"===t.type?(A.valueLabel=p.hoverLabelText(e._mockAxis,e._mockAxis.d2l(h.traceCoordinate[3]),t.valuehoverformat),E.push("value: "+A.valueLabel),h.textLabel&&E.push(h.textLabel),x=E.join("<br>")):x=h.textLabel;var L={x:h.traceCoordinate[0],y:h.traceCoordinate[1],z:h.traceCoordinate[2],data:w._input,fullData:w,curveNumber:w.index,pointNumber:T};d.appendArrayPointValue(L,w,T),t._module.eventData&&(L=w._module.eventData(L,h,w,{},T));var C={points:[L]};if(e.fullSceneLayout.hovermode){var P=[];d.loneHover({trace:w,x:(.5+.5*m[0]/m[3])*s,y:(.5-.5*m[1]/m[3])*l,xLabel:A.xLabel,yLabel:A.yLabel,zLabel:A.zLabel,text:x,name:c.name,color:d.castHoverOption(w,T,"bgcolor")||c.color,borderColor:d.castHoverOption(w,T,"bordercolor"),fontFamily:d.castHoverOption(w,T,"font.family"),fontSize:d.castHoverOption(w,T,"font.size"),fontColor:d.castHoverOption(w,T,"font.color"),nameLength:d.castHoverOption(w,T,"namelength"),textAlign:d.castHoverOption(w,T,"align"),hovertemplate:f.castOption(w,T,"hovertemplate"),hovertemplateLabels:f.extendFlat({},L,A),eventData:[L]},{container:n,gd:r,inOut_bbox:P}),L.bbox=P[0]}h.distance<5&&(h.buttons||_)?r.emit("plotly_click",C):r.emit("plotly_hover",C),this.oldEventData=C}else d.loneUnhover(n),this.oldEventData&&r.emit("plotly_unhover",this.oldEventData),this.oldEventData=void 0;e.drawAnnotations(e)},T.recoverContext=function(){var t=this;t.glplot.dispose();var e=function(){t.glplot.gl.isContextLost()?requestAnimationFrame(e):t.initializeGLPlot()?t.plot.apply(t,t.plotArgs):f.error("Catastrophic and unrecoverable WebGL error. Context lost.")};requestAnimationFrame(e)};var k=["xaxis","yaxis","zaxis"];function M(t,e,r){for(var n=t.fullSceneLayout,i=0;i<3;i++){var a=k[i],o=a.charAt(0),s=n[a],l=e[o],u=e[o+"calendar"],c=e["_"+o+"length"];if(f.isArrayOrTypedArray(l))for(var h,p=0;p<(c||l.length);p++)if(f.isArrayOrTypedArray(l[p]))for(var d=0;d<l[p].length;++d)h=s.d2l(l[p][d],0,u),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else h=s.d2l(l[p],0,u),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else r[0][i]=Math.min(r[0][i],0),r[1][i]=Math.max(r[1][i],c-1)}}T.plot=function(t,e,r){var n=this;if(n.plotArgs=[t,e,r],!n.glplot.contextLost){var i,a,o,s,l,u,c=e[n.id],f=r[n.id];n.fullLayout=e,n.fullSceneLayout=c,n.axesOptions.merge(e,c),n.spikeOptions.merge(c),n.setViewport(c),n.updateFx(c.dragmode,c.hovermode),n.camera.enableWheel=n.graphDiv._context._scrollZoom.gl3d,n.glplot.setClearColor(v(c.bgcolor)),n.setConvert(l),t?Array.isArray(t)||(t=[t]):t=[];var h=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(o=0;o<t.length;++o)!0===(i=t[o]).visible&&0!==i._length&&M(this,i,h);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],i=0;i<3;i++)for(var a=k[i],o=a.charAt(0),s=r[a],l=0;l<n.length;l++){var u=n[l];if(u.visible){var c=s.r2l(u[o]);!isNaN(c)&&isFinite(c)&&(e[0][i]=Math.min(e[0][i],c),e[1][i]=Math.max(e[1][i],c))}}}(this,h);var p=[1,1,1];for(s=0;s<3;++s)h[1][s]===h[0][s]?p[s]=1:p[s]=1/(h[1][s]-h[0][s]);for(n.dataScale=p,n.convertAnnotations(this),o=0;o<t.length;++o)!0===(i=t[o]).visible&&0!==i._length&&((a=n.traces[i.uid])?a.data.type===i.type?a.update(i):(a.dispose(),a=i._module.plot(this,i),n.traces[i.uid]=a):(a=i._module.plot(this,i),n.traces[i.uid]=a),a.name=i.name);var d=Object.keys(n.traces);t:for(o=0;o<d.length;++o){for(s=0;s<t.length;++s)if(t[s].uid===d[o]&&!0===t[s].visible&&0!==t[s]._length)continue t;(a=n.traces[d[o]]).dispose(),delete n.traces[d[o]]}n.glplot.objects.sort(function(t,e){return t._trace.data.index-e._trace.data.index});var g,y=[[0,0,0],[0,0,0]],m=[],x={};for(o=0;o<3;++o){if((u=(l=c[k[o]]).type)in x?(x[u].acc*=p[o],x[u].count+=1):x[u]={acc:p[o],count:1},l.autorange){y[0][o]=1/0,y[1][o]=-1/0;var b=n.glplot.objects,_=n.fullSceneLayout.annotations||[],w=l._name.charAt(0);for(s=0;s<b.length;s++){var T=b[s],A=T.bounds,S=T._trace.data._pad||0;"ErrorBars"===T.constructor.name&&l._lowerLogErrorBound?y[0][o]=Math.min(y[0][o],l._lowerLogErrorBound):y[0][o]=Math.min(y[0][o],A[0][o]/p[o]-S),y[1][o]=Math.max(y[1][o],A[1][o]/p[o]+S)}for(s=0;s<_.length;s++){var E=_[s];if(E.visible){var L=l.r2l(E[w]);y[0][o]=Math.min(y[0][o],L),y[1][o]=Math.max(y[1][o],L)}}if("rangemode"in l&&"tozero"===l.rangemode&&(y[0][o]=Math.min(y[0][o],0),y[1][o]=Math.max(y[1][o],0)),y[0][o]>y[1][o])y[0][o]=-1,y[1][o]=1;else{var C=y[1][o]-y[0][o];y[0][o]-=C/32,y[1][o]+=C/32}if("reversed"===l.autorange){var P=y[0][o];y[0][o]=y[1][o],y[1][o]=P}}else{var O=l.range;y[0][o]=l.r2l(O[0]),y[1][o]=l.r2l(O[1])}y[0][o]===y[1][o]&&(y[0][o]-=1,y[1][o]+=1),m[o]=y[1][o]-y[0][o],n.glplot.setBounds(o,{min:y[0][o]*p[o],max:y[1][o]*p[o]})}var I=c.aspectmode;if("cube"===I)g=[1,1,1];else if("manual"===I){var D=c.aspectratio;g=[D.x,D.y,D.z]}else{if("auto"!==I&&"data"!==I)throw new Error("scene.js aspectRatio was not one of the enumerated 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t=this;t.glplot&&(t.camera.mouseListener.enabled=!1,t.container.removeEventListener("wheel",t.camera.wheelListener),t.camera=null,t.glplot.dispose(),t.container.parentNode.removeChild(t.container),t.glplot=null)},T.getCamera=function(){var t,e=this;return e.camera.view.recalcMatrix(e.camera.view.lastT()),{up:{x:(t=e.camera).up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]},projection:{type:!0===t._ortho?"orthographic":"perspective"}}},T.setViewport=function(t){var e,r=this,n=t.camera;r.camera.lookAt.apply(this,[[(e=n).eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]),r.glplot.setAspectratio(t.aspectratio),"orthographic"===n.projection.type!==r.camera._ortho&&(r.glplot.redraw(),r.glplot.clearRGBA(),r.glplot.dispose(),r.initializeGLPlot())},T.isCameraChanged=function(t){var e=this.getCamera(),r=f.nestedProperty(t,this.id+".camera").get();function n(t,e,r,n){var 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this.color=l(t.color,"uint8");if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity)if(this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2){var J=Math.max(.5*this.position.length||0,.25*this.color.length||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,.5*this.positionOffset.length||0);this.batch=Array(J);for(var K=0;K<this.batch.length;K++)this.batch[K]={count:this.counts.length>1?this.counts[K]:this.counts[0],offset:this.textOffsets.length>1?this.textOffsets[K]:this.textOffsets[0],color:this.color?this.color.length<=4?this.color:this.color.subarray(4*K,4*K+4):[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[K]:this.opacity,baseline:null!=this.baselineOffset[K]?this.baselineOffset[K]:this.baselineOffset[0],align:this.align?null!=this.alignOffset[K]?this.alignOffset[K]:this.alignOffset[0]:0,atlas:this.fontAtlas[K]||this.fontAtlas[0],positionOffset:this.positionOffset.length>2?this.positionOffset.subarray(2*K,2*K+2):this.positionOffset}}else this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[]},T.prototype.destroy=function(){},T.prototype.kerning=!0,T.prototype.position={constant:new Float32Array(2)},T.prototype.translate=null,T.prototype.scale=null,T.prototype.font=null,T.prototype.text="",T.prototype.positionOffset=[0,0],T.prototype.opacity=1,T.prototype.color=new Uint8Array([0,0,0,255]),T.prototype.alignOffset=[0,0],T.maxAtlasSize=1024,T.atlasCanvas=document.createElement("canvas"),T.atlasContext=T.atlasCanvas.getContext("2d",{alpha:!1}),T.baseFontSize=64,T.fonts={},t.exports=T},41499:function(t,e,r){"use strict";var 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t.y}).attr("cursor",function(t){return"fixed"===t.parcatsViewModel.arrangement?"default":"perpendicular"===t.parcatsViewModel.arrangement?"ns-resize":"move"}),A(D),E.exit().remove(),S.append("text").attr("class","catlabel").attr("pointer-events","none");var z=e._fullLayout.paper_bgcolor;M.select("text.catlabel").attr("text-anchor",function(t){return d(t)?"start":"end"}).attr("alignment-baseline","middle").style("text-shadow",f.makeTextShadow(z)).style("fill","rgb(0, 0, 0)").attr("x",function(t){return d(t)?t.width+5:-5}).attr("y",function(t){return t.height/2}).text(function(t){return t.model.categoryLabel}).each(function(t){u.font(n.select(this),t.parcatsViewModel.categorylabelfont),f.convertToTspans(n.select(this),e)}),S.append("text").attr("class","dimlabel"),M.select("text.dimlabel").attr("text-anchor","middle").attr("alignment-baseline","baseline").attr("cursor",function(t){return"fixed"===t.parcatsViewModel.arrangement?"default":"ew-resize"}).attr("x",function(t){return t.width/2}).attr("y",-5).text(function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null}).each(function(t){u.font(n.select(this),t.parcatsViewModel.labelfont)}),M.selectAll("rect.bandrect").on("mouseover",L).on("mouseout",C),M.exit().remove(),k.call(n.behavior.drag().origin(function(t){return{x:t.x,y:0}}).on("dragstart",P).on("drag",O).on("dragend",I)),h.each(function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll("g.paths").selectAll("path.path"),t.dimensionSelection=n.select(this).selectAll("g.dimensions").selectAll("g.dimension")}),h.exit().remove()}function p(t){return t.key}function d(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function v(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function g(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip")){s.raiseToTop(this),w(n.select(this));var e=m(t),r=x(t);if(t.parcatsViewModel.graphDiv.emit("plotly_hover",{points:e,event:n.event,constraints:r}),-1===t.parcatsViewModel.hoverinfoItems.indexOf("none")){var i,a,l,u=n.mouse(this)[0],f=t.parcatsViewModel.graphDiv,h=t.parcatsViewModel.trace,p=f._fullLayout,d=p._paperdiv.node().getBoundingClientRect(),v=t.parcatsViewModel.graphDiv.getBoundingClientRect();for(l=0;l<t.leftXs.length-1;l++)if(t.leftXs[l]+t.dimWidths[l]-2<=u&&u<=t.leftXs[l+1]+2){var g=t.parcatsViewModel.dimensions[l],y=t.parcatsViewModel.dimensions[l+1];i=(g.x+g.width+y.x)/2,a=(t.topYs[l]+t.topYs[l+1]+t.height)/2;break}var b=t.parcatsViewModel.x+i,_=t.parcatsViewModel.y+a,T=c.mostReadable(t.model.color,["black","white"]),A=t.model.count,k=A/t.parcatsViewModel.model.count,M={countLabel:A,probabilityLabel:k.toFixed(3)},S=[];-1!==t.parcatsViewModel.hoverinfoItems.indexOf("count")&&S.push(["Count:",M.countLabel].join(" ")),-1!==t.parcatsViewModel.hoverinfoItems.indexOf("probability")&&S.push(["P:",M.probabilityLabel].join(" "));var E=S.join("<br>"),L=n.mouse(f)[0];o.loneHover({trace:h,x:b-d.left+v.left,y:_-d.top+v.top,text:E,color:t.model.color,borderColor:"black",fontFamily:'Monaco, "Courier New", monospace',fontSize:10,fontColor:T,idealAlign:L<b?"right":"left",hovertemplate:(h.line||{}).hovertemplate,hovertemplateLabels:M,eventData:[{data:h._input,fullData:h,count:A,probability:k}]},{container:p._hoverlayer.node(),outerContainer:p._paper.node(),gd:f})}}}function y(t){if(!t.parcatsViewModel.dragDimension&&(_(n.select(this)),o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(v),-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip"))){var e=m(t),r=x(t);t.parcatsViewModel.graphDiv.emit("plotly_unhover",{points:e,event:n.event,constraints:r})}}function m(t){for(var e=[],r=D(t.parcatsViewModel),n=0;n<t.model.valueInds.length;n++){var i=t.model.valueInds[n];e.push({curveNumber:r,pointNumber:i})}return e}function x(t){for(var e={},r=t.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var i=r[n],a=i.categories[t.model.categoryInds[n]];e[i.containerInd]=a.categoryValue}return void 0!==t.model.rawColor&&(e.color=t.model.rawColor),e}function b(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip")){var e=m(t),r=x(t);t.parcatsViewModel.graphDiv.emit("plotly_click",{points:e,event:n.event,constraints:r})}}function _(t){t.attr("fill",function(t){return t.model.color}).attr("fill-opacity",.6).attr("stroke","lightgray").attr("stroke-width",.2).attr("stroke-opacity",1)}function w(t){t.attr("fill-opacity",.8).attr("stroke",function(t){return c.mostReadable(t.model.color,["black","white"])}).attr("stroke-width",.3)}function T(t){t.select("rect.catrect").attr("stroke","black").attr("stroke-width",1).attr("stroke-opacity",1)}function A(t){t.attr("stroke","black").attr("stroke-width",.2).attr("stroke-opacity",1).attr("fill-opacity",1)}function k(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter(function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color})}function M(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=n.select(t.parentNode).selectAll("rect.bandrect"),l=[];s.each(function(t){k(t).each(function(t){Array.prototype.push.apply(l,m(t))})});var u={};u[a.dimensionInd]=a.categoryValue,o.emit(e,{points:l,event:r,constraints:u})}function S(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=k(i),l=[];s.each(function(t){Array.prototype.push.apply(l,m(t))});var u={};u[a.dimensionInd]=a.categoryValue,void 0!==i.rawColor&&(u.color=i.rawColor),o.emit(e,{points:l,event:r,constraints:u})}function E(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=n.select(r.parentNode).select("rect.catrect"),u=l.node().getBoundingClientRect(),c=l.datum(),f=c.parcatsViewModel,h=f.model.dimensions[c.model.dimensionInd],p=f.trace,d=u.top+u.height/2;f.dimensions.length>1&&h.displayInd===f.dimensions.length-1?(i=u.left,a="left"):(i=u.left+u.width,a="right");var v=c.model.count,g=c.model.categoryLabel,y=v/c.parcatsViewModel.model.count,m={countLabel:v,categoryLabel:g,probabilityLabel:y.toFixed(3)},x=[];-1!==c.parcatsViewModel.hoverinfoItems.indexOf("count")&&x.push(["Count:",m.countLabel].join(" ")),-1!==c.parcatsViewModel.hoverinfoItems.indexOf("probability")&&x.push(["P("+m.categoryLabel+"):",m.probabilityLabel].join(" "));var b=x.join("<br>");return{trace:p,x:o*(i-e.left),y:s*(d-e.top),text:b,color:"lightgray",borderColor:"black",fontFamily:'Monaco, "Courier New", monospace',fontSize:12,fontColor:"black",idealAlign:a,hovertemplate:p.hovertemplate,hovertemplateLabels:m,eventData:[{data:p._input,fullData:p,count:v,category:g,probability:y}]}}function L(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip")){if(n.mouse(this)[1]<-1)return;var e,r=t.parcatsViewModel.graphDiv,i=r._fullLayout,a=i._paperdiv.node().getBoundingClientRect(),l=t.parcatsViewModel.hoveron,u=this;"color"===l?(function(t){var e=n.select(t).datum(),r=k(e);w(r),r.each(function(){s.raiseToTop(this)}),n.select(t.parentNode).selectAll("rect.bandrect").filter(function(t){return t.color===e.color}).each(function(){s.raiseToTop(this),n.select(this).attr("stroke","black").attr("stroke-width",1.5)})}(u),S(u,"plotly_hover",n.event)):(function(t){n.select(t.parentNode).selectAll("rect.bandrect").each(function(t){var e=k(t);w(e),e.each(function(){s.raiseToTop(this)})}),n.select(t.parentNode).select("rect.catrect").attr("stroke","black").attr("stroke-width",2.5)}(u),M(u,"plotly_hover",n.event)),-1===t.parcatsViewModel.hoverinfoItems.indexOf("none")&&("category"===l?e=E(r,a,u):"color"===l?e=function(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=r.getBoundingClientRect(),u=n.select(r).datum(),f=u.categoryViewModel,h=f.parcatsViewModel,p=h.model.dimensions[f.model.dimensionInd],d=h.trace,v=l.y+l.height/2;h.dimensions.length>1&&p.displayInd===h.dimensions.length-1?(i=l.left,a="left"):(i=l.left+l.width,a="right");var g=f.model.categoryLabel,y=u.parcatsViewModel.model.count,m=0;u.categoryViewModel.bands.forEach(function(t){t.color===u.color&&(m+=t.count)});var x=f.model.count,b=0;h.pathSelection.each(function(t){t.model.color===u.color&&(b+=t.model.count)});var _=m/y,w=m/b,T=m/x,A={countLabel:y,categoryLabel:g,probabilityLabel:_.toFixed(3)},k=[];-1!==f.parcatsViewModel.hoverinfoItems.indexOf("count")&&k.push(["Count:",A.countLabel].join(" ")),-1!==f.parcatsViewModel.hoverinfoItems.indexOf("probability")&&(k.push("P(color ∩ "+g+"): "+A.probabilityLabel),k.push("P("+g+" | color): "+w.toFixed(3)),k.push("P(color | "+g+"): "+T.toFixed(3)));var M=k.join("<br>"),S=c.mostReadable(u.color,["black","white"]);return{trace:d,x:o*(i-e.left),y:s*(v-e.top),text:M,color:u.color,borderColor:"black",fontFamily:'Monaco, "Courier New", monospace',fontColor:S,fontSize:10,idealAlign:a,hovertemplate:d.hovertemplate,hovertemplateLabels:A,eventData:[{data:d._input,fullData:d,category:g,count:y,probability:_,categorycount:x,colorcount:b,bandcolorcount:m}]}}(r,a,u):"dimension"===l&&(e=function(t,e,r){var i=[];return n.select(r.parentNode.parentNode).selectAll("g.category").select("rect.catrect").each(function(){i.push(E(t,e,this))}),i}(r,a,u)),e&&o.loneHover(e,{container:i._hoverlayer.node(),outerContainer:i._paper.node(),gd:r}))}}function C(t){var e=t.parcatsViewModel;e.dragDimension||(_(e.pathSelection),T(e.dimensionSelection.selectAll("g.category")),A(e.dimensionSelection.selectAll("g.category").selectAll("rect.bandrect")),o.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(v),-1!==e.hoverinfoItems.indexOf("skip"))||("color"===t.parcatsViewModel.hoveron?S(this,"plotly_unhover",n.event):M(this,"plotly_unhover",n.event))}function P(t){"fixed"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map(function(t){return t.displayInd}),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll("g.category").select("rect.catrect").each(function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map(function(t){return t.displayInd}),e.model.dragY=e.y,s.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll("rect.bandrect").each(function(e){e.y<i&&i<=e.y+e.height&&(t.potentialClickBand=this)}))}),t.parcatsViewModel.dragDimension=t,o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function O(t){if("fixed"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,i=e+1,a=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=a.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var s=o.model.dragY,l=o.model.displayInd,u=a.categories,c=u[l-1],f=u[l+1];void 0!==c&&s<c.y+c.height/2&&(o.model.displayInd=c.model.displayInd,c.model.displayInd=l),void 0!==f&&s+o.height>f.y+f.height/2&&(o.model.displayInd=f.model.displayInd,f.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||"freeform"===t.parcatsViewModel.arrangement){a.model.dragX=n.event.x;var h=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[i];void 0!==h&&a.model.dragX<h.x+h.width&&(a.model.displayInd=h.model.displayInd,h.model.displayInd=e),void 0!==p&&a.model.dragX+a.width>p.x&&(a.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=a.model.displayInd}j(t.parcatsViewModel),N(t.parcatsViewModel),R(t.parcatsViewModel),z(t.parcatsViewModel)}}function I(t){if("fixed"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll("text").attr("font-weight","normal");var e={},r=D(t.parcatsViewModel),i=t.parcatsViewModel.model.dimensions.map(function(t){return t.displayInd}),o=t.initialDragDimensionDisplayInds.some(function(t,e){return t!==i[e]});o&&i.forEach(function(r,n){var i=t.parcatsViewModel.model.dimensions[n].containerInd;e["dimensions["+i+"].displayindex"]=r});var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map(function(t){return t.displayInd});if(s=t.initialDragCategoryDisplayInds.some(function(t,e){return t!==l[e]})){var u=t.model.categories.slice().sort(function(t,e){return t.displayInd-e.displayInd}),c=u.map(function(t){return t.categoryValue}),f=u.map(function(t){return t.categoryLabel});e["dimensions["+t.model.containerInd+"].categoryarray"]=[c],e["dimensions["+t.model.containerInd+"].ticktext"]=[f],e["dimensions["+t.model.containerInd+"].categoryorder"]="array"}}-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip")&&!t.dragHasMoved&&t.potentialClickBand&&("color"===t.parcatsViewModel.hoveron?S(t.potentialClickBand,"plotly_click",n.event.sourceEvent):M(t.potentialClickBand,"plotly_click",n.event.sourceEvent)),t.model.dragX=null,null!==t.dragCategoryDisplayInd&&(t.parcatsViewModel.dimensions[t.dragDimensionDisplayInd].categories[t.dragCategoryDisplayInd].model.dragY=null,t.dragCategoryDisplayInd=null),t.dragDimensionDisplayInd=null,t.parcatsViewModel.dragDimension=null,t.dragHasMoved=null,t.potentialClickBand=null,j(t.parcatsViewModel),N(t.parcatsViewModel),n.transition().duration(300).ease("cubic-in-out").each(function(){R(t.parcatsViewModel,!0),z(t.parcatsViewModel,!0)}).each("end",function(){(o||s)&&a.restyle(t.parcatsViewModel.graphDiv,e,[r])})}}function D(t){for(var e,r=t.graphDiv._fullData,n=0;n<r.length;n++)if(t.key===r[n].uid){e=n;break}return e}function z(t,e){var r;void 0===e&&(e=!1),t.pathSelection.data(function(t){return t.paths},p),(r=t.pathSelection,e?r.transition():r).attr("d",function(t){return t.svgD})}function R(t,e){function r(t){return e?t.transition():t}void 0===e&&(e=!1),t.dimensionSelection.data(function(t){return t.dimensions},p);var i=t.dimensionSelection.selectAll("g.category").data(function(t){return t.categories},p);r(t.dimensionSelection).attr("transform",function(t){return l(t.x,0)}),r(i).attr("transform",function(t){return l(0,t.y)}),i.select(".dimlabel").text(function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null}),i.select(".catlabel").attr("text-anchor",function(t){return d(t)?"start":"end"}).attr("x",function(t){return d(t)?t.width+5:-5}).each(function(t){var e,r;d(t)?(e=t.width+5,r="start"):(e=-5,r="end"),n.select(this).selectAll("tspan").attr("x",e).attr("text-anchor",r)});var a=i.selectAll("rect.bandrect").data(function(t){return t.bands},p),o=a.enter().append("rect").attr("class","bandrect").attr("cursor","move").attr("stroke-opacity",0).attr("fill",function(t){return t.color}).attr("fill-opacity",0);a.attr("fill",function(t){return t.color}).attr("width",function(t){return t.width}).attr("height",function(t){return t.height}).attr("y",function(t){return t.y}),A(o),a.each(function(){s.raiseToTop(this)}),a.exit().remove()}function F(t,e,r){var n,i=r[0],a=e.margin||{l:80,r:80,t:100,b:80},o=i.trace,s=o.domain,l=e.width,u=e.height,c=Math.floor(l*(s.x[1]-s.x[0])),f=Math.floor(u*(s.y[1]-s.y[0])),h=s.x[0]*l+a.l,p=e.height-s.y[1]*e.height+a.t,d=o.line.shape;n="all"===o.hoverinfo?["count","probability"]:(o.hoverinfo||"").split("+");var v={trace:o,key:o.uid,model:i,x:h,y:p,width:c,height:f,hoveron:o.hoveron,hoverinfoItems:n,arrangement:o.arrangement,bundlecolors:o.bundlecolors,sortpaths:o.sortpaths,labelfont:o.labelfont,categorylabelfont:o.tickfont,pathShape:d,dragDimension:null,margin:a,paths:[],dimensions:[],graphDiv:t,traceSelection:null,pathSelection:null,dimensionSelection:null};return i.dimensions&&(j(v),N(v)),v}function B(t,e,r,n,a){var o,s,l=[],u=[];for(s=0;s<r.length-1;s++)o=i(r[s]+t[s],t[s+1]),l.push(o(a)),u.push(o(1-a));var c="M "+t[0]+","+e[0];for(c+="l"+r[0]+",0 ",s=1;s<r.length;s++)c+="C"+l[s-1]+","+e[s-1]+" "+u[s-1]+","+e[s]+" "+t[s]+","+e[s],c+="l"+r[s]+",0 ";for(c+="l0,"+n+" ",c+="l -"+r[r.length-1]+",0 ",s=r.length-2;s>=0;s--)c+="C"+u[s]+","+(e[s+1]+n)+" "+l[s]+","+(e[s]+n)+" "+(t[s]+r[s])+","+(e[s]+n),c+="l-"+r[s]+",0 ";return c+"Z"}function N(t){var e=t.dimensions,r=t.model,n=e.map(function(t){return t.categories.map(function(t){return t.y})}),i=t.model.dimensions.map(function(t){return 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t.append("path").attr("class","zoombox-corners").style({fill:f.background,stroke:f.defaultLine,"stroke-width":1,opacity:0}).attr("transform",u(e,r)).attr("d","M0,0Z")}function U(t,e,r,n,i,a){t.attr("d",n+"M"+r.l+","+r.t+"v"+r.h+"h"+r.w+"v-"+r.h+"h-"+r.w+"Z"),V(t,e,i,a)}function V(t,e,r,n){r||(t.transition().style("fill",n>.2?"rgba(0,0,0,0.4)":"rgba(255,255,255,0.3)").duration(200),e.transition().style("opacity",1).duration(200))}function H(t){n.select(t).selectAll(".zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners").remove()}function q(t){O&&t.data&&t._context.showTips&&(i.notifier(i._(t,"Double-click to zoom back out"),"long"),O=!1)}function G(t){var e=Math.floor(Math.min(t.b-t.t,t.r-t.l,P)/2);return"M"+(t.l-3.5)+","+(t.t-.5+e)+"h3v"+-e+"h"+e+"v-3h-"+(e+3)+"ZM"+(t.r+3.5)+","+(t.t-.5+e)+"h-3v"+-e+"h"+-e+"v-3h"+(e+3)+"ZM"+(t.r+3.5)+","+(t.b+.5-e)+"h-3v"+e+"h"+-e+"v3h"+(e+3)+"ZM"+(t.l-3.5)+","+(t.b+.5-e)+"h3v"+e+"h"+e+"v3h-"+(e+3)+"Z"}function Y(t,e,r,n,a){for(var o,s,l,u,c=!1,f={},h={},p=(a||{}).xaHash,d=(a||{}).yaHash,v=0;v<e.length;v++){var g=e[v];for(o in r)if(g[o]){for(l in g)a&&(p[l]||d[l])||("x"===l.charAt(0)?r:n)[l]||(f[l]=o);for(s in n)a&&(p[s]||d[s])||!g[s]||(c=!0)}for(s in n)if(g[s])for(u in g)a&&(p[u]||d[u])||("x"===u.charAt(0)?r:n)[u]||(h[u]=s)}c&&(i.extendFlat(f,h),h={});var y={},m=[];for(l in f){var x=A(t,l);m.push(x),y[x._id]=x}var b={},_=[];for(u in h){var w=A(t,u);_.push(w),b[w._id]=w}return{xaHash:y,yaHash:b,xaxes:m,yaxes:_,xLinks:f,yLinks:h,isSubplotConstrained:c}}function W(t,e){if(s){var r=void 0!==t.onwheel?"wheel":"mousewheel";t._onwheel&&t.removeEventListener(r,t._onwheel),t._onwheel=e,t.addEventListener(r,e,{passive:!1})}else void 0!==t.onwheel?t.onwheel=e:void 0!==t.onmousewheel?t.onmousewheel=e:t.isAddedWheelEvent||(t.isAddedWheelEvent=!0,t.addEventListener("wheel",e,{passive:!1}))}function Z(t){var e=[];for(var r in t)e.push(t[r]);return e}t.exports={makeDragBox:function(t,e,r,s,u,f,v,y){var O,I,V,X,J,K,$,Q,tt,et,rt,nt,it,at,ot,st,lt,ut,ct,ft,ht,pt,dt,vt=t._fullLayout._zoomlayer,gt=v+y==="nsew",yt=1===(v+y).length;function mt(){if(O=e.xaxis,I=e.yaxis,tt=O._length,et=I._length,$=O._offset,Q=I._offset,(V={})[O._id]=O,(X={})[I._id]=I,v&&y)for(var r=e.overlays,n=0;n<r.length;n++){var i=r[n].xaxis;V[i._id]=i;var a=r[n].yaxis;X[a._id]=a}J=Z(V),K=Z(X),it=z(J,y),at=z(K,v),ot=!at&&!it,nt=Y(t,t._fullLayout._axisMatchGroups,V,X);var o=(rt=Y(t,t._fullLayout._axisConstraintGroups,V,X,nt)).isSubplotConstrained||nt.isSubplotConstrained;st=y||o,lt=v||o;var s=t._fullLayout;ut=s._has("scattergl"),ct=s._has("splom"),ft=s._has("svg")}r+=e.yaxis._shift,mt();var xt=function(t,e,r){return t?"nsew"===t?r?"":"pan"===e?"move":"crosshair":t.toLowerCase()+"-resize":"pointer"}(at+it,t._fullLayout.dragmode,gt),bt=D(e,v+y+"drag",xt,r,s,u,f);if(ot&&!gt)return bt.onmousedown=null,bt.style.pointerEvents="none",bt;var _t,wt,Tt,At,kt,Mt,St,Et,Lt,Ct,Pt={element:bt,gd:t,plotinfo:e};function Ot(){Pt.plotinfo.selection=!1,M(t)}function It(t,r){var i=Pt.gd;if(i._fullLayout._activeShapeIndex>=0)i._fullLayout._deactivateShape(i);else{var o=i._fullLayout.clickmode;if(H(i),2!==t||yt||qt(),gt)o.indexOf("select")>-1&&S(r,i,J,K,e.id,Pt),o.indexOf("event")>-1&&p.click(i,r,e.id);else if(1===t&&yt){var s=v?I:O,u="s"===v||"w"===y?0:1,f=s._name+".range["+u+"]",h=function(t,e){var r,n=t.range[e],i=Math.abs(n-t.range[1-e]);return"date"===t.type?n:"log"===t.type?(r=Math.ceil(Math.max(0,-Math.log(i)/Math.LN10))+3,a("."+r+"g")(Math.pow(10,n))):(r=Math.floor(Math.log(Math.abs(n))/Math.LN10)-Math.floor(Math.log(i)/Math.LN10)+4,a("."+String(r)+"g")(n))}(s,u),d="left",g="middle";if(s.fixedrange)return;v?(g="n"===v?"top":"bottom","right"===s.side&&(d="right")):"e"===y&&(d="right"),i._context.showAxisRangeEntryBoxes&&n.select(bt).call(c.makeEditable,{gd:i,immediate:!0,background:i._fullLayout.paper_bgcolor,text:String(h),fill:s.tickfont?s.tickfont.color:"#444",horizontalAlign:d,verticalAlign:g}).on("edit",function(t){var e=s.d2r(t);void 0!==e&&l.call("_guiRelayout",i,f,e)})}}}function Dt(e,r){if(t._transitioningWithDuration)return!1;var n=Math.max(0,Math.min(tt,pt*e+_t)),i=Math.max(0,Math.min(et,dt*r+wt)),a=Math.abs(n-_t),o=Math.abs(i-wt);function s(){St="",Tt.r=Tt.l,Tt.t=Tt.b,Lt.attr("d","M0,0Z")}if(Tt.l=Math.min(_t,n),Tt.r=Math.max(_t,n),Tt.t=Math.min(wt,i),Tt.b=Math.max(wt,i),rt.isSubplotConstrained)a>P||o>P?(St="xy",a/tt>o/et?(o=a*et/tt,wt>i?Tt.t=wt-o:Tt.b=wt+o):(a=o*tt/et,_t>n?Tt.l=_t-a:Tt.r=_t+a),Lt.attr("d",G(Tt))):s();else if(nt.isSubplotConstrained)if(a>P||o>P){St="xy";var l=Math.min(Tt.l/tt,(et-Tt.b)/et),u=Math.max(Tt.r/tt,(et-Tt.t)/et);Tt.l=l*tt,Tt.r=u*tt,Tt.b=(1-l)*et,Tt.t=(1-u)*et,Lt.attr("d",G(Tt))}else 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a=Pt.dragmode,s=t._fullLayout.dragmode;s!==a&&(Pt.dragmode=s),mt(),pt=t._fullLayout._invScaleX,dt=t._fullLayout._invScaleY,ot||(gt?e.shiftKey?"pan"===s?s="zoom":m(s)||(s="pan"):e.ctrlKey&&(s="pan"):s="pan"),x(s)?Pt.minDrag=1:Pt.minDrag=void 0,m(s)?(Pt.xaxes=J,Pt.yaxes=K,k(e,r,n,Pt,s)):(Pt.clickFn=It,m(a)&&Ot(),ot||("zoom"===s?(Pt.moveFn=Dt,Pt.doneFn=Rt,Pt.minDrag=1,function(e,r,n){var a=bt.getBoundingClientRect();_t=r-a.left,wt=n-a.top,t._fullLayout._calcInverseTransform(t);var s=i.apply3DTransform(t._fullLayout._invTransform)(_t,wt);_t=s[0],wt=s[1],Tt={l:_t,r:_t,w:0,t:wt,b:wt,h:0},At=t._hmpixcount?t._hmlumcount/t._hmpixcount:o(t._fullLayout.plot_bgcolor).getLuminance(),Mt=!1,St="xy",Ct=!1,Et=N(vt,At,$,Q,kt="M0,0H"+tt+"V"+et+"H0V0"),Lt=j(vt,$,Q)}(0,r,n)):"pan"===s&&(Pt.moveFn=Ut,Pt.doneFn=Gt))),t._fullLayout._redrag=function(){var e=t._dragdata;if(e&&e.element===bt){var r=t._fullLayout.dragmode;m(r)||(mt(),Yt([0,0,tt,et]),Pt.moveFn(e.dx,e.dy))}}},g.init(Pt);var Ft=[0,0,tt,et],Bt=null,Nt=L.REDRAWDELAY,jt=e.mainplot?t._fullLayout._plots[e.mainplot]:e;function Ut(e,r){if(e*=pt,r*=dt,!t._transitioningWithDuration){if(t._fullLayout._replotting=!0,"ew"===it||"ns"===at){var n=it?-e:0,i=at?-r:0;if(nt.isSubplotConstrained){if(it&&at){var a=(e/tt-r/et)/2;n=-(e=a*tt),i=-(r=-a*et)}at?n=-i*tt/et:i=-n*et/tt}return it&&(F(J,e),Vt("x")),at&&(F(K,r),Vt("y")),Yt([n,i,tt,et]),Ht(),void t.emit("plotly_relayouting",ht)}var o,s,l="w"===it==("n"===at)?1:-1;if(it&&at&&(rt.isSubplotConstrained||nt.isSubplotConstrained)){var u=(e/tt+l*r/et)/2;e=u*tt,r=l*u*et}if("w"===it?e=p(J,0,e):"e"===it?e=p(J,1,-e):it||(e=0),"n"===at?r=p(K,1,r):"s"===at?r=p(K,0,-r):at||(r=0),o="w"===it?e:0,s="n"===at?r:0,rt.isSubplotConstrained&&!nt.isSubplotConstrained||nt.isSubplotConstrained&&it&&at&&l>0){var c;if(nt.isSubplotConstrained||!it&&1===at.length){for(c=0;c<J.length;c++)J[c].range=J[c]._r.slice(),E(J[c],1-r/et);o=(e=r*tt/et)/2}if(nt.isSubplotConstrained||!at&&1===it.length){for(c=0;c<K.length;c++)K[c].range=K[c]._r.slice(),E(K[c],1-e/tt);s=(r=e*et/tt)/2}}nt.isSubplotConstrained&&at||Vt("x"),nt.isSubplotConstrained&&it||Vt("y");var f=tt-e,h=et-r;!nt.isSubplotConstrained||it&&at||(it?(s=o?0:e*et/tt,h=f*et/tt):(o=s?0:r*tt/et,f=h*tt/et)),Yt([o,s,f,h]),Ht(),t.emit("plotly_relayouting",ht)}function p(t,e,r){for(var n,i,a=1-e,o=0;o<t.length;o++){var s=t[o];if(!s.fixedrange){n=s,i=s._rl[a]+(s._rl[e]-s._rl[a])/B(r/s._length);var l=s.l2r(i);!1!==l&&void 0!==l&&(s.range[e]=l)}}return n._length*(n._rl[e]-i)/(n._rl[e]-n._rl[a])}}function Vt(t,e){for(var r=nt.isSubplotConstrained?{x:K,y:J}[t]:nt[t+"axes"],n=nt.isSubplotConstrained?{x:J,y:K}[t]:[],i=0;i<r.length;i++){var a=r[i],o=a._id,s=nt.xLinks[o]||nt.yLinks[o],l=n[0]||V[s]||X[s];l&&(e?(e[a._name+".range[0]"]=e[l._name+".range[0]"],e[a._name+".range[1]"]=e[l._name+".range[1]"]):a.range=l.range.slice())}}function Ht(){var r,n=[];function i(t){for(r=0;r<t.length;r++)t[r].fixedrange||n.push(t[r]._id)}function a(t,e){for(r=0;r<t.length;r++){var i=t[r],a=i[e];i.fixedrange||"sync"!==a.tickmode||n.push(a._id)}}for(st&&(i(J),i(rt.xaxes),i(nt.xaxes),a(e.overlays,"xaxis")),lt&&(i(K),i(rt.yaxes),i(nt.yaxes),a(e.overlays,"yaxis")),ht={},r=0;r<n.length;r++){var o=n[r],s=A(t,o);d.drawOne(t,s,{skipTitle:!0}),ht[s._name+".range[0]"]=s.range[0],ht[s._name+".range[1]"]=s.range[1]}d.redrawComponents(t,n)}function qt(){if(!t._transitioningWithDuration){var e=t._context.doubleClick,r=[];it&&(r=r.concat(J)),at&&(r=r.concat(K)),nt.xaxes&&(r=r.concat(nt.xaxes)),nt.yaxes&&(r=r.concat(nt.yaxes));var n,i,a,o={};if("reset+autosize"===e)for(e="autosize",i=0;i<r.length;i++)if((n=r[i])._rangeInitial&&(n.range[0]!==n._rangeInitial[0]||n.range[1]!==n._rangeInitial[1])||!n._rangeInitial&&!n.autorange){e="reset";break}if("autosize"===e)for(i=0;i<r.length;i++)(n=r[i]).fixedrange||(o[n._name+".autorange"]=!0);else if("reset"===e)for((it||rt.isSubplotConstrained)&&(r=r.concat(rt.xaxes)),at&&!rt.isSubplotConstrained&&(r=r.concat(rt.yaxes)),rt.isSubplotConstrained&&(it?at||(r=r.concat(K)):r=r.concat(J)),i=0;i<r.length;i++)(n=r[i]).fixedrange||(n._rangeInitial?(a=n._rangeInitial,o[n._name+".range[0]"]=a[0],o[n._name+".range[1]"]=a[1]):o[n._name+".autorange"]=!0);t.emit("plotly_doubleclick",null),l.call("_guiRelayout",t,o)}}function Gt(){Yt([0,0,tt,et]),i.syncOrAsync([T.previousPromises,function(){t._fullLayout._replotting=!1,l.call("_guiRelayout",t,ht)}],t)}function Yt(e){var r,n,a,o,s=t._fullLayout,u=s._plots,c=s._subplots.cartesian;if(ct&&l.subplotsRegistry.splom.drag(t),ut)for(r=0;r<c.length;r++)if(a=(n=u[c[r]]).xaxis,o=n.yaxis,n._scene){var f=i.simpleMap(a.range,a.r2l),p=i.simpleMap(o.range,o.r2l);n._scene.update({range:[f[0],p[0],f[1],p[1]]})}if((ct||ut)&&(_(t),w(t)),ft){var d=e[2]/O._length,g=e[3]/I._length;for(r=0;r<c.length;r++){a=(n=u[c[r]]).xaxis,o=n.yaxis;var m,x,b,T,A=(st||nt.isSubplotConstrained)&&!a.fixedrange&&V[a._id],k=(lt||nt.isSubplotConstrained)&&!o.fixedrange&&X[o._id];if(A?(m=d,b=y||nt.isSubplotConstrained?e[0]:Xt(a,m)):nt.xaHash[a._id]?(m=d,b=e[0]*a._length/O._length):nt.yaHash[a._id]?(m=g,b="ns"===at?-e[1]*a._length/I._length:Xt(a,m,{n:"top",s:"bottom"}[at])):b=Zt(a,m=Wt(a,d,g)),k?(x=g,T=v||nt.isSubplotConstrained?e[1]:Xt(o,x)):nt.yaHash[o._id]?(x=g,T=e[1]*o._length/I._length):nt.xaHash[o._id]?(x=d,T="ew"===it?-e[0]*o._length/O._length:Xt(o,x,{e:"right",w:"left"}[it])):T=Zt(o,x=Wt(o,d,g)),m||x){m||(m=1),x||(x=1);var M=a._offset-b/m,S=o._offset-T/x;n.clipRect.call(h.setTranslate,b,T).call(h.setScale,m,x),n.plot.call(h.setTranslate,M,S).call(h.setScale,1/m,1/x),m===n.xScaleFactor&&x===n.yScaleFactor||(h.setPointGroupScale(n.zoomScalePts,m,x),h.setTextPointsScale(n.zoomScaleTxt,m,x)),h.hideOutsideRangePoints(n.clipOnAxisFalseTraces,n),n.xScaleFactor=m,n.yScaleFactor=x}}}}function Wt(t,e,r){return t.fixedrange?0:st&&rt.xaHash[t._id]?e:lt&&(rt.isSubplotConstrained?rt.xaHash:rt.yaHash)[t._id]?r:0}function Zt(t,e){return e?(t.range=t._r.slice(),E(t,e),Xt(t,e)):0}function Xt(t,e,r){return t._length*(1-e)*b[r||t.constraintoward||"middle"]}return v.length*y.length!==1&&W(bt,function(e){if(t._context._scrollZoom.cartesian||t._fullLayout._enablescrollzoom){if(Ot(),t._transitioningWithDuration)return e.preventDefault(),void e.stopPropagation();mt(),clearTimeout(Bt);var r=-e.deltaY;if(isFinite(r)||(r=e.wheelDelta/10),isFinite(r)){var 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r=x(m,e,t.label),n=r.node()&&o.bBox(r.node())||{width:0,height:0},i=u.lineCount(r);c.currentValueMaxWidth=Math.max(c.currentValueMaxWidth,Math.ceil(n.width)),c.currentValueHeight=Math.max(c.currentValueHeight,Math.ceil(n.height)),c.currentValueMaxLines=Math.max(c.currentValueMaxLines,i)}),c.currentValueTotalHeight=c.currentValueHeight+e.currentvalue.offset,m.remove()}c.height=c.currentValueTotalHeight+f.tickOffset+e.ticklen+f.labelOffset+c.labelHeight+e.pad.t+e.pad.b;var b="left";s.isRightAnchor(e)&&(c.lx-=c.outerLength,b="right"),s.isCenterAnchor(e)&&(c.lx-=c.outerLength/2,b="center");var w="top";s.isBottomAnchor(e)&&(c.ly-=c.height,w="bottom"),s.isMiddleAnchor(e)&&(c.ly-=c.height/2,w="middle"),c.outerLength=Math.ceil(c.outerLength),c.height=Math.ceil(c.height),c.lx=Math.round(c.lx),c.ly=Math.round(c.ly);var T={y:e.y,b:c.height*v[w],t:c.height*d[w]};"fraction"===e.lenmode?(T.l=0,T.xl=e.x-e.len*d[b],T.r=0,T.xr=e.x+e.len*v[b]):(T.x=e.x,T.l=c.outerLength*d[b],T.r=c.outerLength*v[b]),i.autoMargin(t,g(e),T)}function x(t,e,r){if(e.currentvalue.visible){var n,i,a=e._dims;switch(e.currentvalue.xanchor){case"right":n=a.inputAreaLength-f.currentValueInset-a.currentValueMaxWidth,i="left";break;case"center":n=.5*a.inputAreaLength,i="middle";break;default:n=f.currentValueInset,i="left"}var l=s.ensureSingle(t,"text",f.labelClass,function(t){t.attr({"text-anchor":i,"data-notex":1})}),c=e.currentvalue.prefix?e.currentvalue.prefix:"";if("string"==typeof r)c+=r;else{var h=e.steps[e.active].label,d=e._gd._fullLayout._meta;d&&(h=s.templateString(h,d)),c+=h}e.currentvalue.suffix&&(c+=e.currentvalue.suffix),l.call(o.font,e.currentvalue.font).text(c).call(u.convertToTspans,e._gd);var v=u.lineCount(l),g=(a.currentValueMaxLines+1-v)*e.currentvalue.font.size*p;return u.positionText(l,n,g),l}}function 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l=r.select("."+f.gripRectClass);n.event.stopPropagation(),n.event.preventDefault(),l.call(a.fill,t.activebgcolor);var u=L(t,n.mouse(i)[0]);function c(){var t=s(),a=L(t,n.mouse(i)[0]);T(e,r,t,a,!1)}function h(){var t=s();t._dragging=!1,l.call(a.fill,t.bgcolor),o.on("mouseup",null),o.on("mousemove",null),o.on("touchend",null),o.on("touchmove",null),e.emit("plotly_sliderend",{slider:t,step:t.steps[t.active]})}T(e,r,t,u,!0),t._dragging=!0,o.on("mousemove",c),o.on("touchmove",c),o.on("mouseup",h),o.on("touchend",h)}}function M(t,e){var r=t.selectAll("rect."+f.tickRectClass).data(e._visibleSteps),i=e._dims;r.enter().append("rect").classed(f.tickRectClass,!0),r.exit().remove(),r.attr({width:e.tickwidth+"px","shape-rendering":"crispEdges"}),r.each(function(t,r){var s=r%i.labelStride===0,l=n.select(this);l.attr({height:s?e.ticklen:e.minorticklen}).call(a.fill,e.tickcolor),o.setTranslate(l,E(e,r/(e._stepCount-1))-.5*e.tickwidth,(s?f.tickOffset:f.minorTickOffset)+i.currentValueTotalHeight)})}function S(t,e,r){for(var n=t.select("rect."+f.gripRectClass),i=0,a=0;a<e._stepCount;a++)if(e._visibleSteps[a]._index===e.active){i=a;break}var o=E(e,i/(e._stepCount-1));if(!e._invokingCommand){var s=n;r&&e.transition.duration>0&&(s=s.transition().duration(e.transition.duration).ease(e.transition.easing)),s.attr("transform",l(o-.5*f.gripWidth,e._dims.currentValueTotalHeight))}}function E(t,e){var r=t._dims;return r.inputAreaStart+f.stepInset+(r.inputAreaLength-2*f.stepInset)*Math.min(1,Math.max(0,e))}function L(t,e){var r=t._dims;return Math.min(1,Math.max(0,(e-f.stepInset-r.inputAreaStart)/(r.inputAreaLength-2*f.stepInset-2*r.inputAreaStart)))}function C(t,e,r){var 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r=e.parse(t[1],1,Ht);if(!r)return null;var n=[],i=null;e.expectedType&&"value"!==e.expectedType.kind&&(i=e.expectedType);for(var a=1;a<t.length;a+=2){var o=1===a?-1/0:t[a],s=t[a+1],l=a,u=a+1;if("number"!=typeof o)return e.error('Input/output pairs for "step" expressions must be defined using literal numeric values (not computed expressions) for the input values.',l);if(n.length&&n[n.length-1][0]>=o)return e.error('Input/output pairs for "step" expressions must be arranged with input values in strictly ascending order.',l);var c=e.parse(s,u,i);if(!c)return null;i=i||c.type,n.push([o,c])}return new Qe(i,r,n)},Qe.prototype.evaluate=function(t){var e=this.labels,r=this.outputs;if(1===e.length)return r[0].evaluate(t);var n=this.input.evaluate(t);if(n<=e[0])return r[0].evaluate(t);var i=e.length;return n>=e[i-1]?r[i-1].evaluate(t):r[$e(e,n)].evaluate(t)},Qe.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1)t(r[e])},Qe.prototype.outputDefined=function(){return this.outputs.every(function(t){return t.outputDefined()})},Qe.prototype.serialize=function(){for(var t=["step",this.input.serialize()],e=0;e<this.labels.length;e++)e>0&&t.push(this.labels[e]),t.push(this.outputs[e].serialize());return t};var er=Object.freeze({__proto__:null,number:tr,color:function(t,e,r){return new oe(tr(t.r,e.r,r),tr(t.g,e.g,r),tr(t.b,e.b,r),tr(t.a,e.a,r))},array:function(t,e,r){return t.map(function(t,n){return tr(t,e[n],r)})}}),rr=.95047,nr=1.08883,ir=4/29,ar=6/29,or=3*ar*ar,sr=ar*ar*ar,lr=Math.PI/180,ur=180/Math.PI;function cr(t){return t>sr?Math.pow(t,1/3):t/or+ir}function fr(t){return t>ar?t*t*t:or*(t-ir)}function hr(t){return 255*(t<=.0031308?12.92*t:1.055*Math.pow(t,1/2.4)-.055)}function pr(t){return(t/=255)<=.04045?t/12.92:Math.pow((t+.055)/1.055,2.4)}function dr(t){var e=pr(t.r),r=pr(t.g),n=pr(t.b),i=cr((.4124564*e+.3575761*r+.1804375*n)/rr),a=cr((.2126729*e+.7151522*r+.072175*n)/1);return{l:116*a-16,a:500*(i-a),b:200*(a-cr((.0193339*e+.119192*r+.9503041*n)/nr)),alpha:t.a}}function vr(t){var e=(t.l+16)/116,r=isNaN(t.a)?e:e+t.a/500,n=isNaN(t.b)?e:e-t.b/200;return e=1*fr(e),r=rr*fr(r),n=nr*fr(n),new oe(hr(3.2404542*r-1.5371385*e-.4985314*n),hr(-.969266*r+1.8760108*e+.041556*n),hr(.0556434*r-.2040259*e+1.0572252*n),t.alpha)}function gr(t,e,r){var n=e-t;return t+r*(n>180||n<-180?n-360*Math.round(n/360):n)}var yr={forward:dr,reverse:vr,interpolate:function(t,e,r){return{l:tr(t.l,e.l,r),a:tr(t.a,e.a,r),b:tr(t.b,e.b,r),alpha:tr(t.alpha,e.alpha,r)}}},mr={forward:function(t){var e=dr(t),r=e.l,n=e.a,i=e.b,a=Math.atan2(i,n)*ur;return{h:a<0?a+360:a,c:Math.sqrt(n*n+i*i),l:r,alpha:t.a}},reverse:function(t){var e=t.h*lr,r=t.c;return vr({l:t.l,a:Math.cos(e)*r,b:Math.sin(e)*r,alpha:t.alpha})},interpolate:function(t,e,r){return{h:gr(t.h,e.h,r),c:tr(t.c,e.c,r),l:tr(t.l,e.l,r),alpha:tr(t.alpha,e.alpha,r)}}},xr=Object.freeze({__proto__:null,lab:yr,hcl:mr}),br=function(t,e,r,n,i){this.type=t,this.operator=e,this.interpolation=r,this.input=n,this.labels=[],this.outputs=[];for(var a=0,o=i;a<o.length;a+=1){var s=o[a],l=s[0],u=s[1];this.labels.push(l),this.outputs.push(u)}};function _r(t,e,r,n){var i=n-r,a=t-r;return 0===i?0:1===e?a/i:(Math.pow(e,a)-1)/(Math.pow(e,i)-1)}br.interpolationFactor=function(t,e,r,i){var a=0;if("exponential"===t.name)a=_r(e,t.base,r,i);else if("linear"===t.name)a=_r(e,1,r,i);else if("cubic-bezier"===t.name){var o=t.controlPoints;a=new n(o[0],o[1],o[2],o[3]).solve(_r(e,1,r,i))}return a},br.parse=function(t,e){var r=t[0],n=t[1],i=t[2],a=t.slice(3);if(!Array.isArray(n)||0===n.length)return e.error("Expected an interpolation type expression.",1);if("linear"===n[0])n={name:"linear"};else 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a=$e(e,n),o=e[a],s=e[a+1],l=br.interpolationFactor(this.interpolation,n,o,s),u=r[a].evaluate(t),c=r[a+1].evaluate(t);return"interpolate"===this.operator?er[this.type.kind.toLowerCase()](u,c,l):"interpolate-hcl"===this.operator?mr.reverse(mr.interpolate(mr.forward(u),mr.forward(c),l)):yr.reverse(yr.interpolate(yr.forward(u),yr.forward(c),l))},br.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1)t(r[e])},br.prototype.outputDefined=function(){return this.outputs.every(function(t){return t.outputDefined()})},br.prototype.serialize=function(){var t;t="linear"===this.interpolation.name?["linear"]:"exponential"===this.interpolation.name?1===this.interpolation.base?["linear"]:["exponential",this.interpolation.base]:["cubic-bezier"].concat(this.interpolation.controlPoints);for(var e=[this.operator,t,this.input.serialize()],r=0;r<this.labels.length;r++)e.push(this.labels[r],this.outputs[r].serialize());return e};var wr=function(t,e){this.type=t,this.args=e};wr.parse=function(t,e){if(t.length<2)return e.error("Expectected at least one argument.");var r=null,n=e.expectedType;n&&"value"!==n.kind&&(r=n);for(var i=[],a=0,o=t.slice(1);a<o.length;a+=1){var s=o[a],l=e.parse(s,1+i.length,r,void 0,{typeAnnotation:"omit"});if(!l)return null;r=r||l.type,i.push(l)}var u=n&&i.some(function(t){return ee(n,t.type)});return new wr(u?Zt:r,i)},wr.prototype.evaluate=function(t){for(var e,r=null,n=0,i=0,a=this.args;i<a.length&&(n++,(r=a[i].evaluate(t))&&r instanceof ce&&!r.available&&(e||(e=r.name),r=null,n===this.args.length&&(r=e)),null===r);i+=1);return r},wr.prototype.eachChild=function(t){this.args.forEach(t)},wr.prototype.outputDefined=function(){return this.args.every(function(t){return t.outputDefined()})},wr.prototype.serialize=function(){var t=["coalesce"];return this.eachChild(function(e){t.push(e.serialize())}),t};var Tr=function(t,e){this.type=e.type,this.bindings=[].concat(t),this.result=e};Tr.prototype.evaluate=function(t){return this.result.evaluate(t)},Tr.prototype.eachChild=function(t){for(var e=0,r=this.bindings;e<r.length;e+=1)t(r[e][1]);t(this.result)},Tr.parse=function(t,e){if(t.length<4)return e.error("Expected at least 3 arguments, but found "+(t.length-1)+" instead.");for(var r=[],n=1;n<t.length-1;n+=2){var i=t[n];if("string"!=typeof i)return e.error("Expected string, but found "+typeof i+" instead.",n);if(/[^a-zA-Z0-9_]/.test(i))return e.error("Variable names must contain only alphanumeric characters or '_'.",n);var a=e.parse(t[n+1],n+1);if(!a)return null;r.push([i,a])}var o=e.parse(t[t.length-1],t.length-1,e.expectedType,r);return o?new Tr(r,o):null},Tr.prototype.outputDefined=function(){return this.result.outputDefined()},Tr.prototype.serialize=function(){for(var t=["let"],e=0,r=this.bindings;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];t.push(i,a.serialize())}return t.push(this.result.serialize()),t};var Ar=function(t,e,r){this.type=t,this.index=e,this.input=r};Ar.parse=function(t,e){if(3!==t.length)return e.error("Expected 2 arguments, but found "+(t.length-1)+" instead.");var r=e.parse(t[1],1,Ht),n=e.parse(t[2],2,$t(e.expectedType||Zt));if(!r||!n)return null;var i=n.type;return new Ar(i.itemType,r,n)},Ar.prototype.evaluate=function(t){var e=this.index.evaluate(t),r=this.input.evaluate(t);if(e<0)throw new ge("Array index out of bounds: "+e+" < 0.");if(e>=r.length)throw new ge("Array index out of bounds: "+e+" > "+(r.length-1)+".");if(e!==Math.floor(e))throw new ge("Array index must be an integer, but found "+e+" instead.");return r[e]},Ar.prototype.eachChild=function(t){t(this.index),t(this.input)},Ar.prototype.outputDefined=function(){return!1},Ar.prototype.serialize=function(){return["at",this.index.serialize(),this.input.serialize()]};var kr=function(t,e){this.type=Gt,this.needle=t,this.haystack=e};kr.parse=function(t,e){if(3!==t.length)return e.error("Expected 2 arguments, but found "+(t.length-1)+" instead.");var r=e.parse(t[1],1,Zt),n=e.parse(t[2],2,Zt);return r&&n?re(r.type,[Gt,qt,Ht,Vt,Zt])?new kr(r,n):e.error("Expected first argument to be of type boolean, string, number or null, but found "+Qt(r.type)+" instead"):null},kr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!r)return!1;if(!ne(e,["boolean","string","number","null"]))throw new ge("Expected first argument to be of type boolean, string, number or null, but found "+Qt(pe(e))+" instead.");if(!ne(r,["string","array"]))throw new ge("Expected second argument to be of type array or string, but found "+Qt(pe(r))+" instead.");return r.indexOf(e)>=0},kr.prototype.eachChild=function(t){t(this.needle),t(this.haystack)},kr.prototype.outputDefined=function(){return!0},kr.prototype.serialize=function(){return["in",this.needle.serialize(),this.haystack.serialize()]};var Mr=function(t,e,r){this.type=Ht,this.needle=t,this.haystack=e,this.fromIndex=r};Mr.parse=function(t,e){if(t.length<=2||t.length>=5)return e.error("Expected 3 or 4 arguments, but found "+(t.length-1)+" instead.");var r=e.parse(t[1],1,Zt),n=e.parse(t[2],2,Zt);if(!r||!n)return null;if(!re(r.type,[Gt,qt,Ht,Vt,Zt]))return e.error("Expected first argument to be of type boolean, string, number or null, but found "+Qt(r.type)+" instead");if(4===t.length){var i=e.parse(t[3],3,Ht);return i?new Mr(r,n,i):null}return new Mr(r,n)},Mr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!ne(e,["boolean","string","number","null"]))throw new ge("Expected first argument to be of type boolean, string, number or null, but found "+Qt(pe(e))+" instead.");if(!ne(r,["string","array"]))throw new ge("Expected second argument to be of type array or string, but found "+Qt(pe(r))+" instead.");if(this.fromIndex){var n=this.fromIndex.evaluate(t);return r.indexOf(e,n)}return r.indexOf(e)},Mr.prototype.eachChild=function(t){t(this.needle),t(this.haystack),this.fromIndex&&t(this.fromIndex)},Mr.prototype.outputDefined=function(){return!1},Mr.prototype.serialize=function(){if(null!=this.fromIndex&&void 0!==this.fromIndex){var t=this.fromIndex.serialize();return["index-of",this.needle.serialize(),this.haystack.serialize(),t]}return["index-of",this.needle.serialize(),this.haystack.serialize()]};var Sr=function(t,e,r,n,i,a){this.inputType=t,this.type=e,this.input=r,this.cases=n,this.outputs=i,this.otherwise=a};Sr.parse=function(t,e){if(t.length<5)return e.error("Expected at least 4 arguments, but found only "+(t.length-1)+".");if(t.length%2!=1)return e.error("Expected an even number of arguments.");var r,n;e.expectedType&&"value"!==e.expectedType.kind&&(n=e.expectedType);for(var i={},a=[],o=2;o<t.length-1;o+=2){var s=t[o],l=t[o+1];Array.isArray(s)||(s=[s]);var u=e.concat(o);if(0===s.length)return u.error("Expected at least one branch label.");for(var 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pn=function(t,e){this._parameters=t,this._specification=e,Ft(this,tn(this._parameters,this._specification))};function dn(t){var e=null;if(t instanceof Tr)e=dn(t.result);else if(t instanceof wr)for(var r=0,n=t.args;r<n.length;r+=1){var i=n[r];if(e=dn(i))break}else(t instanceof Qe||t instanceof br)&&t.input instanceof ke&&"zoom"===t.input.name&&(e=t);return e instanceof jt||t.eachChild(function(t){var r=dn(t);r instanceof jt?e=r:!e&&r?e=new jt("",'"zoom" expression may only be used as input to a top-level "step" or "interpolate" expression.'):e&&r&&e!==r&&(e=new jt("",'Only one zoom-based "step" or "interpolate" subexpression may be used in an expression.'))}),e}function vn(t){var e=t.key,r=t.value,n=t.valueSpec||{},i=t.objectElementValidators||{},a=t.style,o=t.styleSpec,s=[],l=Kr(r);if("object"!==l)return[new zt(e,r,"object expected, "+l+" found")];for(var u in r){var c=u.split(".")[0],f=n[c]||n["*"],h=void 0;if(i[c])h=i[c];else if(n[c])h=Vn;else 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e=[],a=t.value,s=t.key;if("array"!==Kr(a))return[new zt(s,a,"array expected, "+Kr(a)+" found")];if(2!==a.length)return[new zt(s,a,"array length 2 expected, length "+a.length+" found")];if(u){if("object"!==Kr(a[0]))return[new zt(s,a,"object expected, "+Kr(a[0])+" found")];if(void 0===a[0].zoom)return[new zt(s,a,"object stop key must have zoom")];if(void 0===a[0].value)return[new zt(s,a,"object stop key must have value")];if(n&&n>Bt(a[0].zoom))return[new zt(s,a[0].zoom,"stop zoom values must appear in ascending order")];Bt(a[0].zoom)!==n&&(n=Bt(a[0].zoom),r=void 0,o={}),e=e.concat(vn({key:s+"[0]",value:a[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:yn,value:h}}))}else e=e.concat(h({key:s+"[0]",value:a[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},a));return ln(Nt(a[1]))?e.concat([new zt(s+"[1]",a[1],"expressions are not allowed in function 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e=("property"===t.expressionContext?hn:un)(Nt(t.value),t.valueSpec);if("error"===e.result)return e.value.map(function(e){return new zt(""+t.key+e.key,t.value,e.message)});var r=e.value.expression||e.value._styleExpression.expression;if("property"===t.expressionContext&&"text-font"===t.propertyKey&&!r.outputDefined())return[new zt(t.key,t.value,'Invalid data expression for "'+t.propertyKey+'". 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0===this.fadeDuration?1:Math.min((this.now-this.zoomHistory.lastIntegerZoomTime)/this.fadeDuration,1)},zi.prototype.getCrossfadeParameters=function(){var t=this.zoom,e=t-Math.floor(t),r=this.crossFadingFactor();return t>this.zoomHistory.lastIntegerZoom?{fromScale:2,toScale:1,t:e+(1-e)*r}:{fromScale:.5,toScale:1,t:1-(1-r)*e}};var Ri=function(t,e){this.property=t,this.value=e,this.expression=function(t,e){if($r(t))return new pn(t,e);if(ln(t)){var r=hn(t,e);if("error"===r.result)throw new Error(r.value.map(function(t){return t.key+": "+t.message}).join(", "));return r.value}var n=t;return"string"==typeof t&&"color"===e.type&&(n=oe.parse(t)),{kind:"constant",evaluate:function(){return n}}}(void 0===e?t.specification.default:e,t.specification)};Ri.prototype.isDataDriven=function(){return"source"===this.expression.kind||"composite"===this.expression.kind},Ri.prototype.possiblyEvaluate=function(t,e,r){return this.property.possiblyEvaluate(this,t,e,r)};var Fi=function(t){this.property=t,this.value=new Ri(t,void 0)};Fi.prototype.transitioned=function(t,e){return new Ni(this.property,this.value,e,f({},t.transition,this.transition),t.now)},Fi.prototype.untransitioned=function(){return new Ni(this.property,this.value,null,{},0)};var Bi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitionablePropertyValues)};Bi.prototype.getValue=function(t){return b(this._values[t].value.value)},Bi.prototype.setValue=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new Fi(this._values[t].property)),this._values[t].value=new Ri(this._values[t].property,null===e?void 0:b(e))},Bi.prototype.getTransition=function(t){return b(this._values[t].transition)},Bi.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new Fi(this._values[t].property)),this._values[t].transition=b(e)||void 0},Bi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var 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this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u){var c=10*t,f=5*t;return this.int16[c+0]=e,this.int16[c+1]=r,this.int16[c+2]=n,this.int16[c+3]=i,this.int16[c+4]=a,this.int16[c+5]=o,this.uint32[f+3]=s,this.uint16[c+8]=l,this.uint16[c+9]=u,t},e}(ta);fa.prototype.bytesPerElement=20,ii("StructArrayLayout6i1ul2ui20",fa);var ha=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return 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this.uint16[i+0]=e,this.uint16[i+1]=r,this.uint16[i+2]=n,t},e}(ta);va.prototype.bytesPerElement=6,ii("StructArrayLayout3ui6",va);var ga=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g){var y=this.length;return this.resize(y+1),this.emplace(y,t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y){var m=24*t,x=12*t,b=48*t;return this.int16[m+0]=e,this.int16[m+1]=r,this.uint16[m+2]=n,this.uint16[m+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[m+10]=l,this.uint16[m+11]=u,this.uint16[m+12]=c,this.float32[x+7]=f,this.float32[x+8]=h,this.uint8[b+36]=p,this.uint8[b+37]=d,this.uint8[b+38]=v,this.uint32[x+10]=g,this.int16[m+22]=y,t},e}(ta);ga.prototype.bytesPerElement=48,ii("StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48",ga);var ya=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,A,k,M,S){var E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,A,k,M,S)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,A,k,M,S,E){var L=34*t,C=17*t;return this.int16[L+0]=e,this.int16[L+1]=r,this.int16[L+2]=n,this.int16[L+3]=i,this.int16[L+4]=a,this.int16[L+5]=o,this.int16[L+6]=s,this.int16[L+7]=l,this.uint16[L+8]=u,this.uint16[L+9]=c,this.uint16[L+10]=f,this.uint16[L+11]=h,this.uint16[L+12]=p,this.uint16[L+13]=d,this.uint16[L+14]=v,this.uint16[L+15]=g,this.uint16[L+16]=y,this.uint16[L+17]=m,this.uint16[L+18]=x,this.uint16[L+19]=b,this.uint16[L+20]=_,this.uint16[L+21]=w,this.uint16[L+22]=T,this.uint32[C+12]=A,this.float32[C+13]=k,this.float32[C+14]=M,this.float32[C+15]=S,this.float32[C+16]=E,t},e}(ta);ya.prototype.bytesPerElement=68,ii("StructArrayLayout8i15ui1ul4f68",ya);var ma=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.float32[r+0]=e,t},e}(ta);ma.prototype.bytesPerElement=4,ii("StructArrayLayout1f4",ma);var xa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.int16[i+0]=e,this.int16[i+1]=r,this.int16[i+2]=n,t},e}(ta);xa.prototype.bytesPerElement=6,ii("StructArrayLayout3i6",xa);var ba=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=2*t,a=4*t;return this.uint32[i+0]=e,this.uint16[a+2]=r,this.uint16[a+3]=n,t},e}(ta);ba.prototype.bytesPerElement=8,ii("StructArrayLayout1ul2ui8",ba);var _a=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.uint16[n+0]=e,this.uint16[n+1]=r,t},e}(ta);_a.prototype.bytesPerElement=4,ii("StructArrayLayout2ui4",_a);var wa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint16[r+0]=e,t},e}(ta);wa.prototype.bytesPerElement=2,ii("StructArrayLayout1ui2",wa);var Ta=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.float32[n+0]=e,this.float32[n+1]=r,t},e}(ta);Ta.prototype.bytesPerElement=8,ii("StructArrayLayout2f8",Ta);var Aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,this.float32[a+3]=i,t},e}(ta);Aa.prototype.bytesPerElement=16,ii("StructArrayLayout4f16",Aa);var ka=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorPointX:{configurable:!0},anchorPointY:{configurable:!0},x1:{configurable:!0},y1:{configurable:!0},x2:{configurable:!0},y2:{configurable:!0},featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0},anchorPoint:{configurable:!0}};return r.anchorPointX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorPointY.get=function(){return this._structArray.int16[this._pos2+1]},r.x1.get=function(){return this._structArray.int16[this._pos2+2]},r.y1.get=function(){return this._structArray.int16[this._pos2+3]},r.x2.get=function(){return this._structArray.int16[this._pos2+4]},r.y2.get=function(){return this._structArray.int16[this._pos2+5]},r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+8]},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.anchorPoint.get=function(){return new a(this.anchorPointX,this.anchorPointY)},Object.defineProperties(e.prototype,r),e}(Qi);ka.prototype.size=20;var Ma=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ka(this,t)},e}(fa);ii("CollisionBoxArray",Ma);var Sa=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},glyphStartIndex:{configurable:!0},numGlyphs:{configurable:!0},vertexStartIndex:{configurable:!0},lineStartIndex:{configurable:!0},lineLength:{configurable:!0},segment:{configurable:!0},lowerSize:{configurable:!0},upperSize:{configurable:!0},lineOffsetX:{configurable:!0},lineOffsetY:{configurable:!0},writingMode:{configurable:!0},placedOrientation:{configurable:!0},hidden:{configurable:!0},crossTileID:{configurable:!0},associatedIconIndex:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.glyphStartIndex.get=function(){return this._structArray.uint16[this._pos2+2]},r.numGlyphs.get=function(){return this._structArray.uint16[this._pos2+3]},r.vertexStartIndex.get=function(){return this._structArray.uint32[this._pos4+2]},r.lineStartIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.lineLength.get=function(){return this._structArray.uint32[this._pos4+4]},r.segment.get=function(){return this._structArray.uint16[this._pos2+10]},r.lowerSize.get=function(){return this._structArray.uint16[this._pos2+11]},r.upperSize.get=function(){return this._structArray.uint16[this._pos2+12]},r.lineOffsetX.get=function(){return this._structArray.float32[this._pos4+7]},r.lineOffsetY.get=function(){return this._structArray.float32[this._pos4+8]},r.writingMode.get=function(){return this._structArray.uint8[this._pos1+36]},r.placedOrientation.get=function(){return this._structArray.uint8[this._pos1+37]},r.placedOrientation.set=function(t){this._structArray.uint8[this._pos1+37]=t},r.hidden.get=function(){return this._structArray.uint8[this._pos1+38]},r.hidden.set=function(t){this._structArray.uint8[this._pos1+38]=t},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+10]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+10]=t},r.associatedIconIndex.get=function(){return this._structArray.int16[this._pos2+22]},Object.defineProperties(e.prototype,r),e}(Qi);Sa.prototype.size=48;var Ea=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new Sa(this,t)},e}(ga);ii("PlacedSymbolArray",Ea);var La=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},rightJustifiedTextSymbolIndex:{configurable:!0},centerJustifiedTextSymbolIndex:{configurable:!0},leftJustifiedTextSymbolIndex:{configurable:!0},verticalPlacedTextSymbolIndex:{configurable:!0},placedIconSymbolIndex:{configurable:!0},verticalPlacedIconSymbolIndex:{configurable:!0},key:{configurable:!0},textBoxStartIndex:{configurable:!0},textBoxEndIndex:{configurable:!0},verticalTextBoxStartIndex:{configurable:!0},verticalTextBoxEndIndex:{configurable:!0},iconBoxStartIndex:{configurable:!0},iconBoxEndIndex:{configurable:!0},verticalIconBoxStartIndex:{configurable:!0},verticalIconBoxEndIndex:{configurable:!0},featureIndex:{configurable:!0},numHorizontalGlyphVertices:{configurable:!0},numVerticalGlyphVertices:{configurable:!0},numIconVertices:{configurable:!0},numVerticalIconVertices:{configurable:!0},useRuntimeCollisionCircles:{configurable:!0},crossTileID:{configurable:!0},textBoxScale:{configurable:!0},textOffset0:{configurable:!0},textOffset1:{configurable:!0},collisionCircleDiameter:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.rightJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+2]},r.centerJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+3]},r.leftJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+4]},r.verticalPlacedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+5]},r.placedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+6]},r.verticalPlacedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+7]},r.key.get=function(){return this._structArray.uint16[this._pos2+8]},r.textBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.textBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+10]},r.verticalTextBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+11]},r.verticalTextBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+12]},r.iconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+13]},r.iconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+14]},r.verticalIconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+15]},r.verticalIconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+16]},r.featureIndex.get=function(){return this._structArray.uint16[this._pos2+17]},r.numHorizontalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+18]},r.numVerticalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+19]},r.numIconVertices.get=function(){return this._structArray.uint16[this._pos2+20]},r.numVerticalIconVertices.get=function(){return this._structArray.uint16[this._pos2+21]},r.useRuntimeCollisionCircles.get=function(){return this._structArray.uint16[this._pos2+22]},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+12]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+12]=t},r.textBoxScale.get=function(){return this._structArray.float32[this._pos4+13]},r.textOffset0.get=function(){return this._structArray.float32[this._pos4+14]},r.textOffset1.get=function(){return this._structArray.float32[this._pos4+15]},r.collisionCircleDiameter.get=function(){return this._structArray.float32[this._pos4+16]},Object.defineProperties(e.prototype,r),e}(Qi);La.prototype.size=68;var Ca=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new La(this,t)},e}(ya);ii("SymbolInstanceArray",Ca);var Pa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getoffsetX=function(t){return this.float32[1*t+0]},e}(ma);ii("GlyphOffsetArray",Pa);var Oa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getx=function(t){return this.int16[3*t+0]},e.prototype.gety=function(t){return this.int16[3*t+1]},e.prototype.gettileUnitDistanceFromAnchor=function(t){return this.int16[3*t+2]},e}(xa);ii("SymbolLineVertexArray",Oa);var Ia=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0}};return r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+0]},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+2]},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+3]},Object.defineProperties(e.prototype,r),e}(Qi);Ia.prototype.size=8;var Da=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new Ia(this,t)},e}(ba);ii("FeatureIndexArray",Da);var za=ea([{name:"a_pos",components:2,type:"Int16"}],4).members,Ra=function(t){void 0===t&&(t=[]),this.segments=t};function Fa(t,e){return 256*(t=u(Math.floor(t),0,255))+u(Math.floor(e),0,255)}Ra.prototype.prepareSegment=function(t,e,r,n){var i=this.segments[this.segments.length-1];return t>Ra.MAX_VERTEX_ARRAY_LENGTH&&w("Max vertices per segment is "+Ra.MAX_VERTEX_ARRAY_LENGTH+": bucket requested "+t),(!i||i.vertexLength+t>Ra.MAX_VERTEX_ARRAY_LENGTH||i.sortKey!==n)&&(i={vertexOffset:e.length,primitiveOffset:r.length,vertexLength:0,primitiveLength:0},void 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r,n,i,a,o,s,l,u;for(r=3&t.length,n=t.length-r,i=e,o=3432918353,s=461845907,u=0;u<n;)l=255&t.charCodeAt(u)|(255&t.charCodeAt(++u))<<8|(255&t.charCodeAt(++u))<<16|(255&t.charCodeAt(++u))<<24,++u,i=27492+(65535&(a=5*(65535&(i=(i^=l=(65535&(l=(l=(65535&l)*o+(((l>>>16)*o&65535)<<16)&4294967295)<<15|l>>>17))*s+(((l>>>16)*s&65535)<<16)&4294967295)<<13|i>>>19))+((5*(i>>>16)&65535)<<16)&4294967295))+(((a>>>16)+58964&65535)<<16);switch(l=0,r){case 3:l^=(255&t.charCodeAt(u+2))<<16;case 2:l^=(255&t.charCodeAt(u+1))<<8;case 1:i^=l=(65535&(l=(l=(65535&(l^=255&t.charCodeAt(u)))*o+(((l>>>16)*o&65535)<<16)&4294967295)<<15|l>>>17))*s+(((l>>>16)*s&65535)<<16)&4294967295}return i^=t.length,i=2246822507*(65535&(i^=i>>>16))+((2246822507*(i>>>16)&65535)<<16)&4294967295,i=3266489909*(65535&(i^=i>>>13))+((3266489909*(i>>>16)&65535)<<16)&4294967295,(i^=i>>>16)>>>0}}),ja=e(function(t){t.exports=function(t,e){for(var r,n=t.length,i=e^n,a=0;n>=4;)r=1540483477*(65535&(r=255&t.charCodeAt(a)|(255&t.charCodeAt(++a))<<8|(255&t.charCodeAt(++a))<<16|(255&t.charCodeAt(++a))<<24))+((1540483477*(r>>>16)&65535)<<16),i=1540483477*(65535&i)+((1540483477*(i>>>16)&65535)<<16)^(r=1540483477*(65535&(r^=r>>>24))+((1540483477*(r>>>16)&65535)<<16)),n-=4,++a;switch(n){case 3:i^=(255&t.charCodeAt(a+2))<<16;case 2:i^=(255&t.charCodeAt(a+1))<<8;case 1:i=1540483477*(65535&(i^=255&t.charCodeAt(a)))+((1540483477*(i>>>16)&65535)<<16)}return i=1540483477*(65535&(i^=i>>>13))+((1540483477*(i>>>16)&65535)<<16),(i^=i>>>15)>>>0}}),Ua=Na,Va=Na,Ha=ja;Ua.murmur3=Va,Ua.murmur2=Ha;var qa=function(){this.ids=[],this.positions=[],this.indexed=!1};qa.prototype.add=function(t,e,r,n){this.ids.push(Ya(t)),this.positions.push(e,r,n)},qa.prototype.getPositions=function(t){for(var e=Ya(t),r=0,n=this.ids.length-1;r<n;){var i=r+n>>1;this.ids[i]>=e?n=i:r=i+1}for(var a=[];this.ids[r]===e;){var 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t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){this.current!==t&&(this.current=t,this.gl.uniform1i(this.location,t))},e}(Xa),Ka=function(t){function e(e,r){t.call(this,e,r),this.current=0}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){this.current!==t&&(this.current=t,this.gl.uniform1f(this.location,t))},e}(Xa),$a=function(t){function e(e,r){t.call(this,e,r),this.current=[0,0]}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){t[0]===this.current[0]&&t[1]===this.current[1]||(this.current=t,this.gl.uniform2f(this.location,t[0],t[1]))},e}(Xa),Qa=function(t){function e(e,r){t.call(this,e,r),this.current=[0,0,0]}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){t[0]===this.current[0]&&t[1]===this.current[1]&&t[2]===this.current[2]||(this.current=t,this.gl.uniform3f(this.location,t[0],t[1],t[2]))},e}(Xa),to=function(t){function e(e,r){t.call(this,e,r),this.current=[0,0,0,0]}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){t[0]===this.current[0]&&t[1]===this.current[1]&&t[2]===this.current[2]&&t[3]===this.current[3]||(this.current=t,this.gl.uniform4f(this.location,t[0],t[1],t[2],t[3]))},e}(Xa),eo=function(t){function e(e,r){t.call(this,e,r),this.current=oe.transparent}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){t.r===this.current.r&&t.g===this.current.g&&t.b===this.current.b&&t.a===this.current.a||(this.current=t,this.gl.uniform4f(this.location,t.r,t.g,t.b,t.a))},e}(Xa),ro=new Float32Array(16),no=function(t){function e(e,r){t.call(this,e,r),this.current=ro}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){if(t[12]!==this.current[12]||t[0]!==this.current[0])return this.current=t,void this.gl.uniformMatrix4fv(this.location,!1,t);for(var e=1;e<16;e++)if(t[e]!==this.current[e]){this.current=t,this.gl.uniformMatrix4fv(this.location,!1,t);break}},e}(Xa);function io(t){return[Fa(255*t.r,255*t.g),Fa(255*t.b,255*t.a)]}var ao=function(t,e,r){this.value=t,this.uniformNames=e.map(function(t){return"u_"+t}),this.type=r};ao.prototype.setUniform=function(t,e,r){t.set(r.constantOr(this.value))},ao.prototype.getBinding=function(t,e,r){return"color"===this.type?new eo(t,e):new Ka(t,e)};var oo=function(t,e){this.uniformNames=e.map(function(t){return"u_"+t}),this.patternFrom=null,this.patternTo=null,this.pixelRatioFrom=1,this.pixelRatioTo=1};oo.prototype.setConstantPatternPositions=function(t,e){this.pixelRatioFrom=e.pixelRatio,this.pixelRatioTo=t.pixelRatio,this.patternFrom=e.tlbr,this.patternTo=t.tlbr},oo.prototype.setUniform=function(t,e,r,n){var i="u_pattern_to"===n?this.patternTo:"u_pattern_from"===n?this.patternFrom:"u_pixel_ratio_to"===n?this.pixelRatioTo:"u_pixel_ratio_from"===n?this.pixelRatioFrom:null;i&&t.set(i)},oo.prototype.getBinding=function(t,e,r){return"u_pattern"===r.substr(0,9)?new to(t,e):new Ka(t,e)};var so=function(t,e,r,n){this.expression=t,this.type=r,this.maxValue=0,this.paintVertexAttributes=e.map(function(t){return{name:"a_"+t,type:"Float32",components:"color"===r?2:1,offset:0}}),this.paintVertexArray=new n};so.prototype.populatePaintArray=function(t,e,r,n,i){var a=this.paintVertexArray.length,o=this.expression.evaluate(new zi(0),e,{},n,[],i);this.paintVertexArray.resize(t),this._setPaintValue(a,t,o)},so.prototype.updatePaintArray=function(t,e,r,n){var i=this.expression.evaluate({zoom:0},r,n);this._setPaintValue(t,e,i)},so.prototype._setPaintValue=function(t,e,r){if("color"===this.type)for(var n=io(r),i=t;i<e;i++)this.paintVertexArray.emplace(i,n[0],n[1]);else{for(var a=t;a<e;a++)this.paintVertexArray.emplace(a,r);this.maxValue=Math.max(this.maxValue,Math.abs(r))}},so.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},so.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()};var lo=function(t,e,r,n,i,a){this.expression=t,this.uniformNames=e.map(function(t){return"u_"+t+"_t"}),this.type=r,this.useIntegerZoom=n,this.zoom=i,this.maxValue=0,this.paintVertexAttributes=e.map(function(t){return{name:"a_"+t,type:"Float32",components:"color"===r?4:2,offset:0}}),this.paintVertexArray=new a};lo.prototype.populatePaintArray=function(t,e,r,n,i){var a=this.expression.evaluate(new zi(this.zoom),e,{},n,[],i),o=this.expression.evaluate(new zi(this.zoom+1),e,{},n,[],i),s=this.paintVertexArray.length;this.paintVertexArray.resize(t),this._setPaintValue(s,t,a,o)},lo.prototype.updatePaintArray=function(t,e,r,n){var i=this.expression.evaluate({zoom:this.zoom},r,n),a=this.expression.evaluate({zoom:this.zoom+1},r,n);this._setPaintValue(t,e,i,a)},lo.prototype._setPaintValue=function(t,e,r,n){if("color"===this.type)for(var i=io(r),a=io(n),o=t;o<e;o++)this.paintVertexArray.emplace(o,i[0],i[1],a[0],a[1]);else{for(var s=t;s<e;s++)this.paintVertexArray.emplace(s,r,n);this.maxValue=Math.max(this.maxValue,Math.abs(r),Math.abs(n))}},lo.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},lo.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()},lo.prototype.setUniform=function(t,e){var r=this.useIntegerZoom?Math.floor(e.zoom):e.zoom,n=u(this.expression.interpolationFactor(r,this.zoom,this.zoom+1),0,1);t.set(n)},lo.prototype.getBinding=function(t,e,r){return new Ka(t,e)};var uo=function(t,e,r,n,i,a){this.expression=t,this.type=e,this.useIntegerZoom=r,this.zoom=n,this.layerId=a,this.zoomInPaintVertexArray=new i,this.zoomOutPaintVertexArray=new i};uo.prototype.populatePaintArray=function(t,e,r){var n=this.zoomInPaintVertexArray.length;this.zoomInPaintVertexArray.resize(t),this.zoomOutPaintVertexArray.resize(t),this._setPaintValues(n,t,e.patterns&&e.patterns[this.layerId],r)},uo.prototype.updatePaintArray=function(t,e,r,n,i){this._setPaintValues(t,e,r.patterns&&r.patterns[this.layerId],i)},uo.prototype._setPaintValues=function(t,e,r,n){if(n&&r){var i=r.min,a=r.mid,o=r.max,s=n[i],l=n[a],u=n[o];if(s&&l&&u)for(var c=t;c<e;c++)this.zoomInPaintVertexArray.emplace(c,l.tl[0],l.tl[1],l.br[0],l.br[1],s.tl[0],s.tl[1],s.br[0],s.br[1],l.pixelRatio,s.pixelRatio),this.zoomOutPaintVertexArray.emplace(c,l.tl[0],l.tl[1],l.br[0],l.br[1],u.tl[0],u.tl[1],u.br[0],u.br[1],l.pixelRatio,u.pixelRatio)}},uo.prototype.upload=function(t){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=t.createVertexBuffer(this.zoomInPaintVertexArray,Ba.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=t.createVertexBuffer(this.zoomOutPaintVertexArray,Ba.members,this.expression.isStateDependent))},uo.prototype.destroy=function(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()};var co=function(t,e,r,n){this.binders={},this.layoutAttributes=n,this._buffers=[];var i=[];for(var a in 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To(Do(t,this.paint.get("fill-translate"),this.paint.get("fill-translate-anchor"),a.angle,o),n)},e.prototype.isTileClipped=function(){return!0},e}(Ki),Gs=ea([{name:"a_pos",components:2,type:"Int16"},{name:"a_normal_ed",components:4,type:"Int16"}],4).members,Ys=Ws;function Ws(t,e,r,n,i){this.properties={},this.extent=r,this.type=0,this._pbf=t,this._geometry=-1,this._keys=n,this._values=i,t.readFields(Zs,this,e)}function Zs(t,e,r){1==t?e.id=r.readVarint():2==t?function(t,e){for(var r=t.readVarint()+t.pos;t.pos<r;){var n=e._keys[t.readVarint()],i=e._values[t.readVarint()];e.properties[n]=i}}(r,e):3==t?e.type=r.readVarint():4==t&&(e._geometry=r.pos)}function Xs(t){for(var e,r,n=0,i=0,a=t.length,o=a-1;i<a;o=i++)e=t[i],n+=((r=t[o]).x-e.x)*(e.y+r.y);return n}Ws.types=["Unknown","Point","LineString","Polygon"],Ws.prototype.loadGeometry=function(){var t=this._pbf;t.pos=this._geometry;for(var e,r=t.readVarint()+t.pos,n=1,i=0,o=0,s=0,l=[];t.pos<r;){if(i<=0){var u=t.readVarint();n=7&u,i=u>>3}if(i--,1===n||2===n)o+=t.readSVarint(),s+=t.readSVarint(),1===n&&(e&&l.push(e),e=[]),e.push(new a(o,s));else{if(7!==n)throw new Error("unknown command "+n);e&&e.push(e[0].clone())}}return e&&l.push(e),l},Ws.prototype.bbox=function(){var t=this._pbf;t.pos=this._geometry;for(var e=t.readVarint()+t.pos,r=1,n=0,i=0,a=0,o=1/0,s=-1/0,l=1/0,u=-1/0;t.pos<e;){if(n<=0){var c=t.readVarint();r=7&c,n=c>>3}if(n--,1===r||2===r)(i+=t.readSVarint())<o&&(o=i),i>s&&(s=i),(a+=t.readSVarint())<l&&(l=a),a>u&&(u=a);else if(7!==r)throw new Error("unknown command "+r)}return[o,l,s,u]},Ws.prototype.toGeoJSON=function(t,e,r){var n,i,a=this.extent*Math.pow(2,r),o=this.extent*t,s=this.extent*e,l=this.loadGeometry(),u=Ws.types[this.type];function c(t){for(var e=0;e<t.length;e++){var r=t[e],n=180-360*(r.y+s)/a;t[e]=[360*(r.x+o)/a-180,360/Math.PI*Math.atan(Math.exp(n*Math.PI/180))-90]}}switch(this.type){case 1:var f=[];for(n=0;n<l.length;n++)f[n]=l[n][0];c(l=f);break;case 2:for(n=0;n<l.length;n++)c(l[n]);break;case 3:for(l=function(t){var e=t.length;if(e<=1)return[t];for(var r,n,i=[],a=0;a<e;a++){var o=Xs(t[a]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&i.push(r),r=[t[a]]):r.push(t[a]))}return r&&i.push(r),i}(l),n=0;n<l.length;n++)for(i=0;i<l[n].length;i++)c(l[n][i])}1===l.length?l=l[0]:u="Multi"+u;var h={type:"Feature",geometry:{type:u,coordinates:l},properties:this.properties};return"id"in this&&(h.id=this.id),h};var Js=Ks;function Ks(t,e){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=t,this._keys=[],this._values=[],this._features=[],t.readFields($s,this,e),this.length=this._features.length}function $s(t,e,r){15===t?e.version=r.readVarint():1===t?e.name=r.readString():5===t?e.extent=r.readVarint():2===t?e._features.push(r.pos):3===t?e._keys.push(r.readString()):4===t&&e._values.push(function(t){for(var e=null,r=t.readVarint()+t.pos;t.pos<r;){var n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}function Qs(t,e,r){if(3===t){var n=new Js(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Ks.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error("feature index out of bounds");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new Ys(this._pbf,e,this.extent,this._keys,this._values)};var tl={VectorTile:function(t,e){this.layers=t.readFields(Qs,{},e)},VectorTileFeature:Ys,VectorTileLayer:Js},el=tl.VectorTileFeature.types,rl=Math.pow(2,13);function nl(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*rl)+o,i*rl*2,a*rl*2,Math.round(s))}var il=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map(function(t){return t.id}),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new aa,this.indexArray=new va,this.programConfigurations=new fo(Gs,t.layers,t.zoom),this.segments=new Ra,this.stateDependentLayerIds=this.layers.filter(function(t){return t.isStateDependent()}).map(function(t){return t.id})};function al(t,e){return t.x===e.x&&(t.x<0||t.x>vo)||t.y===e.y&&(t.y<0||t.y>vo)}function ol(t){return t.every(function(t){return t.x<0})||t.every(function(t){return t.x>vo})||t.every(function(t){return t.y<0})||t.every(function(t){return t.y>vo})}il.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=Ns("fill-extrusion",this.layers,e);for(var n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.feature,s=a.id,l=a.index,u=a.sourceLayerIndex,c=this.layers[0]._featureFilter.needGeometry,f={type:o.type,id:s,properties:o.properties,geometry:c?mo(o):[]};if(this.layers[0]._featureFilter.filter(new zi(this.zoom),f,r)){var h={id:s,sourceLayerIndex:u,index:l,geometry:c?f.geometry:mo(o),properties:o.properties,type:o.type,patterns:{}};void 0!==o.id&&(h.id=o.id),this.hasPattern?this.features.push(js("fill-extrusion",this.layers,h,this.zoom,e)):this.addFeature(h,h.geometry,l,r,{}),e.featureIndex.insert(o,h.geometry,l,u,this.index,!0)}}},il.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.features;n<i.length;n+=1){var a=i[n],o=a.geometry;this.addFeature(a,o,a.index,e,r)}},il.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},il.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},il.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},il.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Gs),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},il.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},il.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=Fs(e,500);a<o.length;a+=1){for(var s=o[a],l=0,u=0,c=s;u<c.length;u+=1)l+=c[u].length;for(var f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),h=0,p=s;h<p.length;h+=1){var d=p[h];if(0!==d.length&&!ol(d))for(var v=0,g=0;g<d.length;g++){var y=d[g];if(g>=1){var m=d[g-1];if(!al(y,m)){f.vertexLength+4>Ra.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=y.sub(m)._perp()._unit(),b=m.dist(y);v+b>32768&&(v=0),nl(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,v),nl(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,v),v+=b,nl(this.layoutVertexArray,m.x,m.y,x.x,x.y,0,0,v),nl(this.layoutVertexArray,m.x,m.y,x.x,x.y,0,1,v);var _=f.vertexLength;this.indexArray.emplaceBack(_,_+2,_+1),this.indexArray.emplaceBack(_+1,_+2,_+3),f.vertexLength+=4,f.primitiveLength+=2}}}}if(f.vertexLength+l>Ra.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),"Polygon"===el[t.type]){for(var w=[],T=[],A=f.vertexLength,k=0,M=s;k<M.length;k+=1){var S=M[k];if(0!==S.length){S!==s[0]&&T.push(w.length/2);for(var E=0;E<S.length;E++){var L=S[E];nl(this.layoutVertexArray,L.x,L.y,0,0,1,1,0),w.push(L.x),w.push(L.y)}}}for(var C=as(w,T),P=0;P<C.length;P+=3)this.indexArray.emplaceBack(A+C[P],A+C[P+2],A+C[P+1]);f.primitiveLength+=C.length/3,f.vertexLength+=l}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},ii("FillExtrusionBucket",il,{omit:["layers","features"]});var sl={paint:new Xi({"fill-extrusion-opacity":new qi(Dt["paint_fill-extrusion"]["fill-extrusion-opacity"]),"fill-extrusion-color":new Gi(Dt["paint_fill-extrusion"]["fill-extrusion-color"]),"fill-extrusion-translate":new qi(Dt["paint_fill-extrusion"]["fill-extrusion-translate"]),"fill-extrusion-translate-anchor":new qi(Dt["paint_fill-extrusion"]["fill-extrusion-translate-anchor"]),"fill-extrusion-pattern":new Yi(Dt["paint_fill-extrusion"]["fill-extrusion-pattern"]),"fill-extrusion-height":new Gi(Dt["paint_fill-extrusion"]["fill-extrusion-height"]),"fill-extrusion-base":new Gi(Dt["paint_fill-extrusion"]["fill-extrusion-base"]),"fill-extrusion-vertical-gradient":new qi(Dt["paint_fill-extrusion"]["fill-extrusion-vertical-gradient"])})},ll=function(t){function e(e){t.call(this,e,sl)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new il(t)},e.prototype.queryRadius=function(){return Io(this.paint.get("fill-extrusion-translate"))},e.prototype.is3D=function(){return!0},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,o,s,l){var u=Do(t,this.paint.get("fill-extrusion-translate"),this.paint.get("fill-extrusion-translate-anchor"),o.angle,s),c=this.paint.get("fill-extrusion-height").evaluate(e,r),f=this.paint.get("fill-extrusion-base").evaluate(e,r),h=function(t,e,r,n){for(var i=[],o=0,s=t;o<s.length;o+=1){var l=s[o],u=[l.x,l.y,n,1];Ho(u,u,e),i.push(new a(u[0]/u[3],u[1]/u[3]))}return i}(u,l,0,0),p=function(t,e,r,n){for(var i=[],o=[],s=n[8]*e,l=n[9]*e,u=n[10]*e,c=n[11]*e,f=n[8]*r,h=n[9]*r,p=n[10]*r,d=n[11]*r,v=0,g=t;v<g.length;v+=1){for(var y=[],m=[],x=0,b=g[v];x<b.length;x+=1){var _=b[x],w=_.x,T=_.y,A=n[0]*w+n[4]*T+n[12],k=n[1]*w+n[5]*T+n[13],M=n[2]*w+n[6]*T+n[14],S=n[3]*w+n[7]*T+n[15],E=M+u,L=S+c,C=A+f,P=k+h,O=M+p,I=S+d,D=new a((A+s)/L,(k+l)/L);D.z=E/L,y.push(D);var z=new a(C/I,P/I);z.z=O/I,m.push(z)}i.push(y),o.push(m)}return[i,o]}(n,f,c,l);return function(t,e,r){var n=1/0;To(r,e)&&(n=cl(r,e[0]));for(var i=0;i<e.length;i++)for(var a=e[i],o=t[i],s=0;s<a.length-1;s++){var l=a[s],u=a[s+1],c=o[s],f=[l,u,o[s+1],c,l];_o(r,f)&&(n=Math.min(n,cl(r,f)))}return n!==1/0&&n}(p[0],p[1],h)},e}(Ki);function ul(t,e){return t.x*e.x+t.y*e.y}function cl(t,e){if(1===t.length){for(var r,n=0,i=e[n++];!r||i.equals(r);)if(!(r=e[n++]))return 1/0;for(;n<e.length;n++){var a=e[n],o=t[0],s=r.sub(i),l=a.sub(i),u=o.sub(i),c=ul(s,s),f=ul(s,l),h=ul(l,l),p=ul(u,s),d=ul(u,l),v=c*h-f*f,g=(h*p-f*d)/v,y=(c*d-f*p)/v,m=1-g-y,x=i.z*m+r.z*g+a.z*y;if(isFinite(x))return x}return 1/0}for(var b=1/0,_=0,w=e;_<w.length;_+=1){var T=w[_];b=Math.min(b,T.z)}return b}var fl=ea([{name:"a_pos_normal",components:2,type:"Int16"},{name:"a_data",components:4,type:"Uint8"}],4).members,hl=tl.VectorTileFeature.types,pl=Math.cos(Math.PI/180*37.5),dl=Math.pow(2,14)/.5,vl=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map(function(t){return t.id}),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.layoutVertexArray=new oa,this.indexArray=new va,this.programConfigurations=new fo(fl,t.layers,t.zoom),this.segments=new Ra,this.stateDependentLayerIds=this.layers.filter(function(t){return t.isStateDependent()}).map(function(t){return t.id})};vl.prototype.populate=function(t,e,r){this.hasPattern=Ns("line",this.layers,e);for(var n=this.layers[0].layout.get("line-sort-key"),i=[],a=0,o=t;a<o.length;a+=1){var s=o[a],l=s.feature,u=s.id,c=s.index,f=s.sourceLayerIndex,h=this.layers[0]._featureFilter.needGeometry,p={type:l.type,id:u,properties:l.properties,geometry:h?mo(l):[]};if(this.layers[0]._featureFilter.filter(new zi(this.zoom),p,r)){h||(p.geometry=mo(l));var d=n?n.evaluate(p,{},r):void 0,v={id:u,properties:l.properties,type:l.type,sourceLayerIndex:f,index:c,geometry:p.geometry,patterns:{},sortKey:d};i.push(v)}}n&&i.sort(function(t,e){return t.sortKey-e.sortKey});for(var g=0,y=i;g<y.length;g+=1){var m=y[g],x=m,b=x.geometry,_=x.index,w=x.sourceLayerIndex;if(this.hasPattern){var T=js("line",this.layers,m,this.zoom,e);this.patternFeatures.push(T)}else this.addFeature(m,b,_,r,{});var A=t[_].feature;e.featureIndex.insert(A,b,_,w,this.index)}},vl.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},vl.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.patternFeatures;n<i.length;n+=1){var a=i[n];this.addFeature(a,a.geometry,a.index,e,r)}},vl.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},vl.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},vl.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,fl),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},vl.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},vl.prototype.addFeature=function(t,e,r,n,i){for(var a=this.layers[0].layout,o=a.get("line-join").evaluate(t,{}),s=a.get("line-cap"),l=a.get("line-miter-limit"),u=a.get("line-round-limit"),c=0,f=e;c<f.length;c+=1){var h=f[c];this.addLine(h,t,o,s,l,u)}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},vl.prototype.addLine=function(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,e.properties&&e.properties.hasOwnProperty("mapbox_clip_start")&&e.properties.hasOwnProperty("mapbox_clip_end")){this.clipStart=+e.properties.mapbox_clip_start,this.clipEnd=+e.properties.mapbox_clip_end;for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance()}for(var s="Polygon"===hl[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var u=0;u<l-1&&t[u].equals(t[u+1]);)u++;if(!(l<(s?3:2))){"bevel"===r&&(i=1.05);var c,f=this.overscaling<=16?122880/(512*this.overscaling):0,h=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 0,d=void 0,v=void 0,g=void 0;this.e1=this.e2=-1,s&&(c=t[l-2],g=t[u].sub(c)._unit()._perp());for(var y=u;y<l;y++)if(!(d=y===l-1?s?t[u+1]:void 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I=Math.round(180*w/Math.PI/20),D=1;D<I;D++){var z=D/I;if(.5!==z){var R=z-.5;z+=z*R*(z-1)*((1.0904+x*(x*(3.55645-1.43519*x)-3.2452))*R*R+(.848013+x*(.215638*x-1.06021)))}var F=g.sub(v)._mult(z)._add(v)._unit()._mult(A?-1:1);this.addHalfVertex(c,F.x,F.y,!1,A,0,h)}d&&this.addCurrentVertex(c,g,-P,-O,h)}else if("butt"===E)this.addCurrentVertex(c,m,0,0,h);else if("square"===E){var B=p?1:-1;this.addCurrentVertex(c,m,B,B,h)}else"round"===E&&(p&&(this.addCurrentVertex(c,v,0,0,h),this.addCurrentVertex(c,v,1,1,h,!0)),d&&(this.addCurrentVertex(c,g,-1,-1,h,!0),this.addCurrentVertex(c,g,0,0,h)));if(T&&y<l-1){var N=c.dist(d);if(N>2*f){var j=c.add(d.sub(c)._mult(f/N)._round());this.updateDistance(c,j),this.addCurrentVertex(j,g,0,0,h),c=j}}}}},vl.prototype.addCurrentVertex=function(t,e,r,n,i,a){void 0===a&&(a=!1);var 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this.length=this.pos,this.pos=0,this.buf.subarray(0,this.length)},writeFixed32:function(t){this.realloc(4),Jl(this.buf,t,this.pos),this.pos+=4},writeSFixed32:function(t){this.realloc(4),Jl(this.buf,t,this.pos),this.pos+=4},writeFixed64:function(t){this.realloc(8),Jl(this.buf,-1&t,this.pos),Jl(this.buf,Math.floor(t*zl),this.pos+4),this.pos+=8},writeSFixed64:function(t){this.realloc(8),Jl(this.buf,-1&t,this.pos),Jl(this.buf,Math.floor(t*zl),this.pos+4),this.pos+=8},writeVarint:function(t){(t=+t||0)>268435455||t<0?function(t,e){var r,n;if(t>=0?(r=t%4294967296|0,n=t/4294967296|0):(n=~(-t/4294967296),4294967295^(r=~(-t%4294967296))?r=r+1|0:(r=0,n=n+1|0)),t>=0x10000000000000000||t<-0x10000000000000000)throw new Error("Given varint doesn't fit into 10 bytes");e.realloc(10),function(t,e,r){r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos]=127&t}(r,0,e),function(t,e){var r=(7&t)<<4;e.buf[e.pos++]|=r|((t>>>=3)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t)))))}(n,e)}(t,this):(this.realloc(4),this.buf[this.pos++]=127&t|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=t>>>7&127))))},writeSVarint:function(t){this.writeVarint(t<0?2*-t-1:2*t)},writeBoolean:function(t){this.writeVarint(Boolean(t))},writeString:function(t){t=String(t),this.realloc(4*t.length),this.pos++;var e=this.pos;this.pos=function(t,e,r){for(var n,i,a=0;a<e.length;a++){if((n=e.charCodeAt(a))>55295&&n<57344){if(!i){n>56319||a+1===e.length?(t[r++]=239,t[r++]=191,t[r++]=189):i=n;continue}if(n<56320){t[r++]=239,t[r++]=191,t[r++]=189,i=n;continue}n=i-55296<<10|n-56320|65536,i=null}else i&&(t[r++]=239,t[r++]=191,t[r++]=189,i=null);n<128?t[r++]=n:(n<2048?t[r++]=n>>6|192:(n<65536?t[r++]=n>>12|224:(t[r++]=n>>18|240,t[r++]=n>>12&63|128),t[r++]=n>>6&63|128),t[r++]=63&n|128)}return r}(this.buf,t,this.pos);var r=this.pos-e;r>=128&&Nl(e,r,this),this.pos=e-1,this.writeVarint(r),this.pos+=r},writeFloat:function(t){this.realloc(4),Pl(this.buf,t,this.pos,!0,23,4),this.pos+=4},writeDouble:function(t){this.realloc(8),Pl(this.buf,t,this.pos,!0,52,8),this.pos+=8},writeBytes:function(t){var e=t.length;this.writeVarint(e),this.realloc(e);for(var r=0;r<e;r++)this.buf[this.pos++]=t[r]},writeRawMessage:function(t,e){this.pos++;var r=this.pos;t(e,this);var n=this.pos-r;n>=128&&Nl(r,n,this),this.pos=r-1,this.writeVarint(n),this.pos+=n},writeMessage:function(t,e,r){this.writeTag(t,Il.Bytes),this.writeRawMessage(e,r)},writePackedVarint:function(t,e){e.length&&this.writeMessage(t,jl,e)},writePackedSVarint:function(t,e){e.length&&this.writeMessage(t,Ul,e)},writePackedBoolean:function(t,e){e.length&&this.writeMessage(t,ql,e)},writePackedFloat:function(t,e){e.length&&this.writeMessage(t,Vl,e)},writePackedDouble:function(t,e){e.length&&this.writeMessage(t,Hl,e)},writePackedFixed32:function(t,e){e.length&&this.writeMessage(t,Gl,e)},writePackedSFixed32:function(t,e){e.length&&this.writeMessage(t,Yl,e)},writePackedFixed64:function(t,e){e.length&&this.writeMessage(t,Wl,e)},writePackedSFixed64:function(t,e){e.length&&this.writeMessage(t,Zl,e)},writeBytesField:function(t,e){this.writeTag(t,Il.Bytes),this.writeBytes(e)},writeFixed32Field:function(t,e){this.writeTag(t,Il.Fixed32),this.writeFixed32(e)},writeSFixed32Field:function(t,e){this.writeTag(t,Il.Fixed32),this.writeSFixed32(e)},writeFixed64Field:function(t,e){this.writeTag(t,Il.Fixed64),this.writeFixed64(e)},writeSFixed64Field:function(t,e){this.writeTag(t,Il.Fixed64),this.writeSFixed64(e)},writeVarintField:function(t,e){this.writeTag(t,Il.Varint),this.writeVarint(e)},writeSVarintField:function(t,e){this.writeTag(t,Il.Varint),this.writeSVarint(e)},writeStringField:function(t,e){this.writeTag(t,Il.Bytes),this.writeString(e)},writeFloatField:function(t,e){this.writeTag(t,Il.Fixed32),this.writeFloat(e)},writeDoubleField:function(t,e){this.writeTag(t,Il.Fixed64),this.writeDouble(e)},writeBooleanField:function(t,e){this.writeVarintField(t,Boolean(e))}};function $l(t,e,r){1===t&&r.readMessage(Ql,e)}function Ql(t,e,r){if(3===t){var n=r.readMessage(tu,{}),i=n.id,a=n.bitmap,o=n.width,s=n.height,l=n.left,u=n.top,c=n.advance;e.push({id:i,bitmap:new Ko({width:o+6,height:s+6},a),metrics:{width:o,height:s,left:l,top:u,advance:c}})}}function tu(t,e,r){1===t?e.id=r.readVarint():2===t?e.bitmap=r.readBytes():3===t?e.width=r.readVarint():4===t?e.height=r.readVarint():5===t?e.left=r.readSVarint():6===t?e.top=r.readSVarint():7===t&&(e.advance=r.readVarint())}function eu(t){for(var e=0,r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];e+=a.w*a.h,r=Math.max(r,a.w)}t.sort(function(t,e){return e.h-t.h});for(var o=[{x:0,y:0,w:Math.max(Math.ceil(Math.sqrt(e/.95)),r),h:1/0}],s=0,l=0,u=0,c=t;u<c.length;u+=1)for(var f=c[u],h=o.length-1;h>=0;h--){var p=o[h];if(!(f.w>p.w||f.h>p.h)){if(f.x=p.x,f.y=p.y,l=Math.max(l,f.y+f.h),s=Math.max(s,f.x+f.w),f.w===p.w&&f.h===p.h){var d=o.pop();h<o.length&&(o[h]=d)}else f.h===p.h?(p.x+=f.w,p.w-=f.w):f.w===p.w?(p.y+=f.h,p.h-=f.h):(o.push({x:p.x+f.w,y:p.y,w:p.w-f.w,h:f.h}),p.y+=f.h,p.h-=f.h);break}}return{w:s,h:l,fill:e/(s*l)||0}}var ru=function(t,e){var r=e.pixelRatio,n=e.version,i=e.stretchX,a=e.stretchY,o=e.content;this.paddedRect=t,this.pixelRatio=r,this.stretchX=i,this.stretchY=a,this.content=o,this.version=n},nu={tl:{configurable:!0},br:{configurable:!0},tlbr:{configurable:!0},displaySize:{configurable:!0}};nu.tl.get=function(){return[this.paddedRect.x+1,this.paddedRect.y+1]},nu.br.get=function(){return[this.paddedRect.x+this.paddedRect.w-1,this.paddedRect.y+this.paddedRect.h-1]},nu.tlbr.get=function(){return this.tl.concat(this.br)},nu.displaySize.get=function(){return[(this.paddedRect.w-2)/this.pixelRatio,(this.paddedRect.h-2)/this.pixelRatio]},Object.defineProperties(ru.prototype,nu);var iu=function(t,e){var r={},n={};this.haveRenderCallbacks=[];var i=[];this.addImages(t,r,i),this.addImages(e,n,i);var a=eu(i),o=a.w,s=a.h,l=new $o({width:o||1,height:s||1});for(var u in t){var c=t[u],f=r[u].paddedRect;$o.copy(c.data,l,{x:0,y:0},{x:f.x+1,y:f.y+1},c.data)}for(var h in e){var p=e[h],d=n[h].paddedRect,v=d.x+1,g=d.y+1,y=p.data.width,m=p.data.height;$o.copy(p.data,l,{x:0,y:0},{x:v,y:g},p.data),$o.copy(p.data,l,{x:0,y:m-1},{x:v,y:g-1},{width:y,height:1}),$o.copy(p.data,l,{x:0,y:0},{x:v,y:g+m},{width:y,height:1}),$o.copy(p.data,l,{x:y-1,y:0},{x:v-1,y:g},{width:1,height:m}),$o.copy(p.data,l,{x:0,y:0},{x:v+y,y:g},{width:1,height:m})}this.image=l,this.iconPositions=r,this.patternPositions=n};iu.prototype.addImages=function(t,e,r){for(var n in t){var i=t[n],a={x:0,y:0,w:i.data.width+2,h:i.data.height+2};r.push(a),e[n]=new ru(a,i),i.hasRenderCallback&&this.haveRenderCallbacks.push(n)}},iu.prototype.patchUpdatedImages=function(t,e){for(var r in t.dispatchRenderCallbacks(this.haveRenderCallbacks),t.updatedImages)this.patchUpdatedImage(this.iconPositions[r],t.getImage(r),e),this.patchUpdatedImage(this.patternPositions[r],t.getImage(r),e)},iu.prototype.patchUpdatedImage=function(t,e,r){if(t&&e&&t.version!==e.version){t.version=e.version;var n=t.tl,i=n[0],a=n[1];r.update(e.data,void 0,{x:i,y:a})}},ii("ImagePosition",ru),ii("ImageAtlas",iu);var au={horizontal:1,vertical:2,horizontalOnly:3},ou=-17;var su=function(){this.scale=1,this.fontStack="",this.imageName=null};su.forText=function(t,e){var r=new su;return r.scale=t||1,r.fontStack=e,r},su.forImage=function(t){var e=new su;return e.imageName=t,e};var lu=function(){this.text="",this.sectionIndex=[],this.sections=[],this.imageSectionID=null};function uu(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=lu.fromFeature(t,i);f===au.vertical&&y.verticalizePunctuation();var m=Ii.processBidirectionalText,x=Ii.processStyledBidirectionalText;if(m&&1===y.sections.length){g=[];for(var b=0,_=m(y.toString(),yu(y,u,a,e,n,p,d));b<_.length;b+=1){var w=_[b],T=new lu;T.text=w,T.sections=y.sections;for(var A=0;A<w.length;A++)T.sectionIndex.push(0);g.push(T)}}else if(x){g=[];for(var k=0,M=x(y.text,y.sectionIndex,yu(y,u,a,e,n,p,d));k<M.length;k+=1){var S=M[k],E=new lu;E.text=S[0],E.sectionIndex=S[1],E.sections=y.sections,g.push(E)}}else g=function(t,e){for(var r=[],n=t.text,i=0,a=0,o=e;a<o.length;a+=1){var s=o[a];r.push(t.substring(i,s)),i=s}return i<n.length&&r.push(t.substring(i,n.length)),r}(y,yu(y,u,a,e,n,p,d));var L=[],C={positionedLines:L,text:y.toString(),top:c[1],bottom:c[1],left:c[0],right:c[0],writingMode:f,iconsInText:!1,verticalizable:!1};return function(t,e,r,n,i,a,o,s,l,u,c,f){for(var h=0,p=ou,d=0,v=0,g="right"===s?1:"left"===s?0:.5,y=0,m=0,x=i;m<x.length;m+=1){var b=x[m];b.trim();var _=b.getMaxScale(),w=(_-1)*Ll,T={positionedGlyphs:[],lineOffset:0};t.positionedLines[y]=T;var A=T.positionedGlyphs,k=0;if(b.length()){for(var M=0;M<b.length();M++){var S=b.getSection(M),E=b.getSectionIndex(M),L=b.getCharCode(M),C=0,P=null,O=null,I=null,D=Ll,z=!(l===au.horizontal||!c&&!vi(L)||c&&(cu[L]||yi(L)));if(S.imageName){var R=n[S.imageName];if(!R)continue;I=S.imageName,t.iconsInText=t.iconsInText||!0,O=R.paddedRect;var F=R.displaySize;S.scale=S.scale*Ll/f,P={width:F[0],height:F[1],left:1,top:-3,advance:z?F[1]:F[0]},C=w+(Ll-F[1]*S.scale),D=P.advance;var B=z?F[0]*S.scale-Ll*_:F[1]*S.scale-Ll*_;B>0&&B>k&&(k=B)}else{var N=r[S.fontStack],j=N&&N[L];if(j&&j.rect)O=j.rect,P=j.metrics;else{var U=e[S.fontStack],V=U&&U[L];if(!V)continue;P=V.metrics}C=(_-S.scale)*Ll}z?(t.verticalizable=!0,A.push({glyph:L,imageName:I,x:h,y:p+C,vertical:z,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:O}),h+=D*S.scale+u):(A.push({glyph:L,imageName:I,x:h,y:p+C,vertical:z,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:O}),h+=P.advance*S.scale+u)}if(0!==A.length){var H=h-u;d=Math.max(H,d),xu(A,0,A.length-1,g,k)}h=0;var q=a*_+k;T.lineOffset=Math.max(k,w),p+=q,v=Math.max(q,v),++y}else p+=a,++y}var G=p-ou,Y=mu(o),W=Y.horizontalAlign,Z=Y.verticalAlign;(function(t,e,r,n,i,a,o,s,l){var u=(e-r)*i,c=0;c=a!==o?-s*n-ou:(-n*l+.5)*o;for(var f=0,h=t;f<h.length;f+=1)for(var p=0,d=h[f].positionedGlyphs;p<d.length;p+=1){var v=d[p];v.x+=u,v.y+=c}})(t.positionedLines,g,W,Z,d,v,a,G,i.length),t.top+=-Z*G,t.bottom=t.top+G,t.left+=-W*d,t.right=t.left+d}(C,e,r,n,g,o,s,l,f,u,h,v),!function(t){for(var e=0,r=t;e<r.length;e+=1)if(0!==r[e].positionedGlyphs.length)return!1;return!0}(L)&&C}lu.fromFeature=function(t,e){for(var r=new lu,n=0;n<t.sections.length;n++){var i=t.sections[n];i.image?r.addImageSection(i):r.addTextSection(i,e)}return r},lu.prototype.length=function(){return this.text.length},lu.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},lu.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},lu.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},lu.prototype.verticalizePunctuation=function(){this.text=function(t){for(var e="",r=0;r<t.length;r++){var n=t.charCodeAt(r+1)||null,i=t.charCodeAt(r-1)||null;n&&gi(n)&&!El[t[r+1]]||i&&gi(i)&&!El[t[r-1]]||!El[t[r]]?e+=t[r]:e+=El[t[r]]}return e}(this.text)},lu.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&cu[this.text.charCodeAt(e)];e++)t++;for(var r=this.text.length,n=this.text.length-1;n>=0&&n>=t&&cu[this.text.charCodeAt(n)];n--)r--;this.text=this.text.substring(t,r),this.sectionIndex=this.sectionIndex.slice(t,r)},lu.prototype.substring=function(t,e){var r=new lu;return r.text=this.text.substring(t,e),r.sectionIndex=this.sectionIndex.slice(t,e),r.sections=this.sections,r},lu.prototype.toString=function(){return this.text},lu.prototype.getMaxScale=function(){var t=this;return this.sectionIndex.reduce(function(e,r){return Math.max(e,t.sections[r].scale)},0)},lu.prototype.addTextSection=function(t,e){this.text+=t.text,this.sections.push(su.forText(t.scale,t.fontStack||e));for(var r=this.sections.length-1,n=0;n<t.text.length;++n)this.sectionIndex.push(r)},lu.prototype.addImageSection=function(t){var e=t.image?t.image.name:"";if(0!==e.length){var r=this.getNextImageSectionCharCode();r?(this.text+=String.fromCharCode(r),this.sections.push(su.forImage(e)),this.sectionIndex.push(this.sections.length-1)):w("Reached maximum number of images 6401")}else w("Can't add FormattedSection with an empty image.")},lu.prototype.getNextImageSectionCharCode=function(){return this.imageSectionID?this.imageSectionID>=63743?null:++this.imageSectionID:(this.imageSectionID=57344,this.imageSectionID)};var cu={9:!0,10:!0,11:!0,12:!0,13:!0,32:!0},fu={};function hu(t,e,r,n,i,a){if(e.imageName){var o=n[e.imageName];return o?o.displaySize[0]*e.scale*Ll/a+i:0}var s=r[e.fontStack],l=s&&s[t];return 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Reduce your "text-size".'),t.addSymbols(t.text,g,m,l,o,s,c,e,u.lineStartIndex,u.lineLength,p,v);for(var x=0,b=f;x<b.length;x+=1)h[b[x]]=t.text.placedSymbolArray.length-1;return 4*g.length}function $u(t){for(var e in t)return t[e];return null}function Qu(t,e,r,n){var i=t.compareText;if(e in i){for(var a=i[e],o=a.length-1;o>=0;o--)if(n.dist(a[o])<r)return!0}else i[e]=[];return i[e].push(n),!1}var tc=tl.VectorTileFeature.types,ec=[{name:"a_fade_opacity",components:1,type:"Uint8",offset:0}];function rc(t,e,r,n,i,a,o,s,l,u,c,f,h){var p=s?Math.min(Ju,Math.round(s[0])):0,d=s?Math.min(Ju,Math.round(s[1])):0;t.emplaceBack(e,r,Math.round(32*n),Math.round(32*i),a,o,(p<<1)+(l?1:0),d,16*u,16*c,256*f,256*h)}function nc(t,e,r){t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r)}function ic(t){for(var e=0,r=t.sections;e<r.length;e+=1)if(bi(r[e].text))return!0;return!1}var ac=function(t){this.layoutVertexArray=new la,this.indexArray=new va,this.programConfigurations=t,this.segments=new Ra,this.dynamicLayoutVertexArray=new ua,this.opacityVertexArray=new ca,this.placedSymbolArray=new Ea};ac.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length&&0===this.indexArray.length&&0===this.dynamicLayoutVertexArray.length&&0===this.opacityVertexArray.length},ac.prototype.upload=function(t,e,r,n){this.isEmpty()||(r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,wl.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,Tl.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,ec,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t))},ac.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},ii("SymbolBuffers",ac);var oc=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new Ra,this.collisionVertexArray=new da};oc.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,Al.members,!0)},oc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},ii("CollisionBuffers",oc);var sc=function(t){this.collisionBoxArray=t.collisionBoxArray,this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map(function(t){return t.id}),this.index=t.index,this.pixelRatio=t.pixelRatio,this.sourceLayerIndex=t.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=Bo([]),this.placementViewportMatrix=Bo([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=Tu(this.zoom,e["text-size"]),this.iconSizeData=Tu(this.zoom,e["icon-size"]);var r=this.layers[0].layout,n=r.get("symbol-sort-key"),i=r.get("symbol-z-order");this.sortFeaturesByKey="viewport-y"!==i&&void 0!==n.constantOr(1);var a="viewport-y"===i||"auto"===i&&!this.sortFeaturesByKey;this.sortFeaturesByY=a&&(r.get("text-allow-overlap")||r.get("icon-allow-overlap")||r.get("text-ignore-placement")||r.get("icon-ignore-placement")),"point"===r.get("symbol-placement")&&(this.writingModes=r.get("text-writing-mode").map(function(t){return au[t]})),this.stateDependentLayerIds=this.layers.filter(function(t){return t.isStateDependent()}).map(function(t){return t.id}),this.sourceID=t.sourceID};sc.prototype.createArrays=function(){this.text=new ac(new fo(wl.members,this.layers,this.zoom,function(t){return/^text/.test(t)})),this.icon=new ac(new fo(wl.members,this.layers,this.zoom,function(t){return/^icon/.test(t)})),this.glyphOffsetArray=new Pa,this.lineVertexArray=new Oa,this.symbolInstances=new Ca},sc.prototype.calculateGlyphDependencies=function(t,e,r,n,i){for(var a=0;a<t.length;a++)if(e[t.charCodeAt(a)]=!0,(r||n)&&i){var o=El[t.charAt(a)];o&&(e[o.charCodeAt(0)]=!0)}},sc.prototype.populate=function(t,e,r){var n=this.layers[0],i=n.layout,a=i.get("text-font"),o=i.get("text-field"),s=i.get("icon-image"),l=("constant"!==o.value.kind||o.value.value instanceof ue&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&("constant"!==a.value.kind||a.value.value.length>0),u="constant"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,c=i.get("symbol-sort-key");if(this.features=[],l||u){for(var f=e.iconDependencies,h=e.glyphDependencies,p=e.availableImages,d=new zi(this.zoom),v=0,g=t;v<g.length;v+=1){var y=g[v],m=y.feature,x=y.id,b=y.index,_=y.sourceLayerIndex,w=n._featureFilter.needGeometry,T={type:m.type,id:x,properties:m.properties,geometry:w?mo(m):[]};if(n._featureFilter.filter(d,T,r)){w||(T.geometry=mo(m));var A=void 0;if(l){var k=n.getValueAndResolveTokens("text-field",T,r,p),M=ue.factory(k);ic(M)&&(this.hasRTLText=!0),(!this.hasRTLText||"unavailable"===Pi()||this.hasRTLText&&Ii.isParsed())&&(A=Sl(M,n,T))}var S=void 0;if(u){var E=n.getValueAndResolveTokens("icon-image",T,r,p);S=E instanceof ce?E:ce.fromString(E)}if(A||S){var L=this.sortFeaturesByKey?c.evaluate(T,{},r):void 0,C={id:x,text:A,icon:S,index:b,sourceLayerIndex:_,geometry:mo(m),properties:m.properties,type:tc[m.type],sortKey:L};if(this.features.push(C),S&&(f[S.name]=!0),A){var P=a.evaluate(T,{},r).join(","),O="map"===i.get("text-rotation-alignment")&&"point"!==i.get("symbol-placement");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(au.vertical)>=0;for(var I=0,D=A.sections;I<D.length;I+=1){var z=D[I];if(z.image)f[z.image.name]=!0;else{var R=hi(A.toString()),F=z.fontStack||P,B=h[F]=h[F]||{};this.calculateGlyphDependencies(z.text,B,O,this.allowVerticalPlacement,R)}}}}}}"line"===i.get("symbol-placement")&&(this.features=function(t){var e={},r={},n=[],i=0;function a(e){n.push(t[e]),i++}function o(t,e,i){var a=r[t];return delete r[t],r[e]=a,n[a].geometry[0].pop(),n[a].geometry[0]=n[a].geometry[0].concat(i[0]),a}function s(t,r,i){var a=e[r];return delete e[r],e[t]=a,n[a].geometry[0].shift(),n[a].geometry[0]=i[0].concat(n[a].geometry[0]),a}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+":"+n.x+":"+n.y}for(var u=0;u<t.length;u++){var c=t[u],f=c.geometry,h=c.text?c.text.toString():null;if(h){var p=l(h,f),d=l(h,f,!0);if(p in r&&d in e&&r[p]!==e[d]){var v=s(p,d,f),g=o(p,d,n[v].geometry);delete e[p],delete r[d],r[l(h,n[g].geometry,!0)]=g,n[v].geometry=null}else p in r?o(p,d,f):d in e?s(p,d,f):(a(u),e[p]=i-1,r[d]=i-1)}else a(u)}return n.filter(function(t){return t.geometry})}(this.features)),this.sortFeaturesByKey&&this.features.sort(function(t,e){return t.sortKey-e.sortKey})}},sc.prototype.update=function(t,e,r){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(t,e,this.layers,r),this.icon.programConfigurations.updatePaintArrays(t,e,this.layers,r))},sc.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},sc.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},sc.prototype.upload=function(t){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(t),this.iconCollisionBox.upload(t)),this.text.upload(t,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(t,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},sc.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},sc.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},sc.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),i=t.dist(e[t.segment]),a={},o=t.segment+1;o<e.length;o++)a[o]={x:e[o].x,y:e[o].y,tileUnitDistanceFromAnchor:n},o<e.length-1&&(n+=e[o+1].dist(e[o]));for(var s=t.segment||0;s>=0;s--)a[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:i},s>0&&(i+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var u=a[l];this.lineVertexArray.emplaceBack(u.x,u.y,u.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},sc.prototype.addSymbols=function(t,e,r,n,i,a,o,s,l,u,c,f){for(var h=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,h,a.sortKey),v=this.glyphOffsetArray.length,g=d.vertexLength,y=this.allowVerticalPlacement&&o===au.vertical?Math.PI/2:0,m=a.text&&a.text.sections,x=0;x<e.length;x++){var b=e[x],_=b.tl,w=b.tr,T=b.bl,A=b.br,k=b.tex,M=b.pixelOffsetTL,S=b.pixelOffsetBR,E=b.minFontScaleX,L=b.minFontScaleY,C=b.glyphOffset,P=b.isSDF,O=b.sectionIndex,I=d.vertexLength,D=C[1];rc(p,s.x,s.y,_.x,D+_.y,k.x,k.y,r,P,M.x,M.y,E,L),rc(p,s.x,s.y,w.x,D+w.y,k.x+k.w,k.y,r,P,S.x,M.y,E,L),rc(p,s.x,s.y,T.x,D+T.y,k.x,k.y+k.h,r,P,M.x,S.y,E,L),rc(p,s.x,s.y,A.x,D+A.y,k.x+k.w,k.y+k.h,r,P,S.x,S.y,E,L),nc(t.dynamicLayoutVertexArray,s,y),h.emplaceBack(I,I+1,I+2),h.emplaceBack(I+1,I+2,I+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(C[0]),x!==e.length-1&&O===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,a,a.index,{},f,m&&m[O])}t.placedSymbolArray.emplaceBack(s.x,s.y,v,this.glyphOffsetArray.length-v,g,l,u,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,c)},sc.prototype._addCollisionDebugVertex=function(t,e,r,n,i,a){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,i,Math.round(a.x),Math.round(a.y))},sc.prototype.addCollisionDebugVertices=function(t,e,r,n,i,o,s){var l=i.segments.prepareSegment(4,i.layoutVertexArray,i.indexArray),u=l.vertexLength,c=i.layoutVertexArray,f=i.collisionVertexArray,h=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(c,f,o,h,p,new a(t,e)),this._addCollisionDebugVertex(c,f,o,h,p,new a(r,e)),this._addCollisionDebugVertex(c,f,o,h,p,new a(r,n)),this._addCollisionDebugVertex(c,f,o,h,p,new a(t,n)),l.vertexLength+=4;var d=i.indexArray;d.emplaceBack(u,u+1),d.emplaceBack(u+1,u+2),d.emplaceBack(u+2,u+3),d.emplaceBack(u+3,u),l.primitiveLength+=4},sc.prototype.addDebugCollisionBoxes=function(t,e,r,n){for(var i=t;i<e;i++){var a=this.collisionBoxArray.get(i),o=a.x1,s=a.y1,l=a.x2,u=a.y2;this.addCollisionDebugVertices(o,s,l,u,n?this.textCollisionBox:this.iconCollisionBox,a.anchorPoint,r)}},sc.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new oc(ha,kl.members,_a),this.iconCollisionBox=new oc(ha,kl.members,_a);for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e,!1),this.addDebugCollisionBoxes(e.verticalIconBoxStartIndex,e.verticalIconBoxEndIndex,e,!1)}},sc.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,i,a,o,s,l){for(var u={},c=e;c<r;c++){var f=t.get(c);u.textBox={x1:f.x1,y1:f.y1,x2:f.x2,y2:f.y2,anchorPointX:f.anchorPointX,anchorPointY:f.anchorPointY},u.textFeatureIndex=f.featureIndex;break}for(var h=n;h<i;h++){var p=t.get(h);u.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},u.verticalTextFeatureIndex=p.featureIndex;break}for(var d=a;d<o;d++){var v=t.get(d);u.iconBox={x1:v.x1,y1:v.y1,x2:v.x2,y2:v.y2,anchorPointX:v.anchorPointX,anchorPointY:v.anchorPointY},u.iconFeatureIndex=v.featureIndex;break}for(var g=s;g<l;g++){var y=t.get(g);u.verticalIconBox={x1:y.x1,y1:y.y1,x2:y.x2,y2:y.y2,anchorPointX:y.anchorPointX,anchorPointY:y.anchorPointY},u.verticalIconFeatureIndex=y.featureIndex;break}return u},sc.prototype.deserializeCollisionBoxes=function(t){this.collisionArrays=[];for(var e=0;e<this.symbolInstances.length;e++){var r=this.symbolInstances.get(e);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(t,r.textBoxStartIndex,r.textBoxEndIndex,r.verticalTextBoxStartIndex,r.verticalTextBoxEndIndex,r.iconBoxStartIndex,r.iconBoxEndIndex,r.verticalIconBoxStartIndex,r.verticalIconBoxEndIndex))}},sc.prototype.hasTextData=function(){return this.text.segments.get().length>0},sc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},sc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},sc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},sc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},sc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i<n;i+=4)t.indexArray.emplaceBack(i,i+1,i+2),t.indexArray.emplaceBack(i+1,i+2,i+3)},sc.prototype.getSortedSymbolIndexes=function(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;for(var e=Math.sin(t),r=Math.cos(t),n=[],i=[],a=[],o=0;o<this.symbolInstances.length;++o){a.push(o);var s=this.symbolInstances.get(o);n.push(0|Math.round(e*s.anchorX+r*s.anchorY)),i.push(s.featureIndex)}return a.sort(function(t,e){return n[t]-n[e]||i[e]-i[t]}),a},sc.prototype.addToSortKeyRanges=function(t,e){var r=this.sortKeyRanges[this.sortKeyRanges.length-1];r&&r.sortKey===e?r.symbolInstanceEnd=t+1:this.sortKeyRanges.push({sortKey:e,symbolInstanceStart:t,symbolInstanceEnd:t+1})},sc.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r<n.length;r+=1){var i=n[r],a=this.symbolInstances.get(i);this.featureSortOrder.push(a.featureIndex),[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach(function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)}),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},ii("SymbolBucket",sc,{omit:["layers","collisionBoxArray","features","compareText"]}),sc.MAX_GLYPHS=65535,sc.addDynamicAttributes=nc;var lc=new Xi({"symbol-placement":new qi(Dt.layout_symbol["symbol-placement"]),"symbol-spacing":new qi(Dt.layout_symbol["symbol-spacing"]),"symbol-avoid-edges":new qi(Dt.layout_symbol["symbol-avoid-edges"]),"symbol-sort-key":new Gi(Dt.layout_symbol["symbol-sort-key"]),"symbol-z-order":new qi(Dt.layout_symbol["symbol-z-order"]),"icon-allow-overlap":new qi(Dt.layout_symbol["icon-allow-overlap"]),"icon-ignore-placement":new qi(Dt.layout_symbol["icon-ignore-placement"]),"icon-optional":new qi(Dt.layout_symbol["icon-optional"]),"icon-rotation-alignment":new qi(Dt.layout_symbol["icon-rotation-alignment"]),"icon-size":new Gi(Dt.layout_symbol["icon-size"]),"icon-text-fit":new qi(Dt.layout_symbol["icon-text-fit"]),"icon-text-fit-padding":new qi(Dt.layout_symbol["icon-text-fit-padding"]),"icon-image":new Gi(Dt.layout_symbol["icon-image"]),"icon-rotate":new Gi(Dt.layout_symbol["icon-rotate"]),"icon-padding":new qi(Dt.layout_symbol["icon-padding"]),"icon-keep-upright":new qi(Dt.layout_symbol["icon-keep-upright"]),"icon-offset":new Gi(Dt.layout_symbol["icon-offset"]),"icon-anchor":new Gi(Dt.layout_symbol["icon-anchor"]),"icon-pitch-alignment":new qi(Dt.layout_symbol["icon-pitch-alignment"]),"text-pitch-alignment":new qi(Dt.layout_symbol["text-pitch-alignment"]),"text-rotation-alignment":new qi(Dt.layout_symbol["text-rotation-alignment"]),"text-field":new Gi(Dt.layout_symbol["text-field"]),"text-font":new Gi(Dt.layout_symbol["text-font"]),"text-size":new Gi(Dt.layout_symbol["text-size"]),"text-max-width":new Gi(Dt.layout_symbol["text-max-width"]),"text-line-height":new qi(Dt.layout_symbol["text-line-height"]),"text-letter-spacing":new Gi(Dt.layout_symbol["text-letter-spacing"]),"text-justify":new Gi(Dt.layout_symbol["text-justify"]),"text-radial-offset":new Gi(Dt.layout_symbol["text-radial-offset"]),"text-variable-anchor":new qi(Dt.layout_symbol["text-variable-anchor"]),"text-anchor":new Gi(Dt.layout_symbol["text-anchor"]),"text-max-angle":new qi(Dt.layout_symbol["text-max-angle"]),"text-writing-mode":new qi(Dt.layout_symbol["text-writing-mode"]),"text-rotate":new Gi(Dt.layout_symbol["text-rotate"]),"text-padding":new qi(Dt.layout_symbol["text-padding"]),"text-keep-upright":new qi(Dt.layout_symbol["text-keep-upright"]),"text-transform":new Gi(Dt.layout_symbol["text-transform"]),"text-offset":new Gi(Dt.layout_symbol["text-offset"]),"text-allow-overlap":new qi(Dt.layout_symbol["text-allow-overlap"]),"text-ignore-placement":new qi(Dt.layout_symbol["text-ignore-placement"]),"text-optional":new qi(Dt.layout_symbol["text-optional"])}),uc={paint:new Xi({"icon-opacity":new Gi(Dt.paint_symbol["icon-opacity"]),"icon-color":new Gi(Dt.paint_symbol["icon-color"]),"icon-halo-color":new Gi(Dt.paint_symbol["icon-halo-color"]),"icon-halo-width":new Gi(Dt.paint_symbol["icon-halo-width"]),"icon-halo-blur":new Gi(Dt.paint_symbol["icon-halo-blur"]),"icon-translate":new qi(Dt.paint_symbol["icon-translate"]),"icon-translate-anchor":new qi(Dt.paint_symbol["icon-translate-anchor"]),"text-opacity":new Gi(Dt.paint_symbol["text-opacity"]),"text-color":new Gi(Dt.paint_symbol["text-color"],{runtimeType:Yt,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),"text-halo-color":new Gi(Dt.paint_symbol["text-halo-color"]),"text-halo-width":new Gi(Dt.paint_symbol["text-halo-width"]),"text-halo-blur":new Gi(Dt.paint_symbol["text-halo-blur"]),"text-translate":new qi(Dt.paint_symbol["text-translate"]),"text-translate-anchor":new qi(Dt.paint_symbol["text-translate-anchor"])}),layout:lc},cc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Vt,this.defaultValue=t};cc.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},cc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},cc.prototype.outputDefined=function(){return!1},cc.prototype.serialize=function(){return null},ii("FormatSectionOverride",cc,{omit:["defaultValue"]});var fc=function(t){function e(e){t.call(this,e,uc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),"auto"===this.layout.get("icon-rotation-alignment")&&("point"!==this.layout.get("symbol-placement")?this.layout._values["icon-rotation-alignment"]="map":this.layout._values["icon-rotation-alignment"]="viewport"),"auto"===this.layout.get("text-rotation-alignment")&&("point"!==this.layout.get("symbol-placement")?this.layout._values["text-rotation-alignment"]="map":this.layout._values["text-rotation-alignment"]="viewport"),"auto"===this.layout.get("text-pitch-alignment")&&(this.layout._values["text-pitch-alignment"]=this.layout.get("text-rotation-alignment")),"auto"===this.layout.get("icon-pitch-alignment")&&(this.layout._values["icon-pitch-alignment"]=this.layout.get("icon-rotation-alignment")),"point"===this.layout.get("symbol-placement")){var n=this.layout.get("text-writing-mode");if(n){for(var i=[],a=0,o=n;a<o.length;a+=1){var s=o[a];i.indexOf(s)<0&&i.push(s)}this.layout._values["text-writing-mode"]=i}else this.layout._values["text-writing-mode"]=["horizontal"]}this._setPaintOverrides()},e.prototype.getValueAndResolveTokens=function(t,e,r,n){var i=this.layout.get(t).evaluate(e,{},r,n),a=this._unevaluatedLayout._values[t];return a.isDataDriven()||ln(a.value)||!i?i:function(t,e){return e.replace(/{([^{}]+)}/g,function(e,r){return r in t?String(t[r]):""})}(e.properties,i)},e.prototype.createBucket=function(t){return new sc(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=uc.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var i,a=this.paint.get(n),o=new cc(a),s=new sn(o,a.property.specification);i="constant"===a.value.kind||"source"===a.value.kind?new cn("source",s):new fn("composite",s,a.value.zoomStops,a.value._interpolationType),this.paint._values[n]=new Vi(a.property,i,a.parameters)}}},e.prototype._handleOverridablePaintPropertyUpdate=function(t,r,n){return!(!this.layout||r.isDataDriven()||n.isDataDriven())&&e.hasPaintOverride(this.layout,t)},e.hasPaintOverride=function(t,e){var r=t.get("text-field"),n=uc.paint.properties[e],i=!1,a=function(t){for(var e=0,r=t;e<r.length;e+=1){var a=r[e];if(n.overrides&&n.overrides.hasOverride(a))return void(i=!0)}};if("constant"===r.value.kind&&r.value.value instanceof ue)a(r.value.value.sections);else if("source"===r.value.kind){var o=function(t){if(!i)if(t instanceof ve&&pe(t.value)===Jt){var e=t.value;a(e.sections)}else t instanceof xe?a(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return i},e}(Ki),hc={paint:new Xi({"background-color":new qi(Dt.paint_background["background-color"]),"background-pattern":new Wi(Dt.paint_background["background-pattern"]),"background-opacity":new qi(Dt.paint_background["background-opacity"])})},pc=function(t){function e(e){t.call(this,e,hc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ki),dc={paint:new Xi({"raster-opacity":new qi(Dt.paint_raster["raster-opacity"]),"raster-hue-rotate":new qi(Dt.paint_raster["raster-hue-rotate"]),"raster-brightness-min":new qi(Dt.paint_raster["raster-brightness-min"]),"raster-brightness-max":new qi(Dt.paint_raster["raster-brightness-max"]),"raster-saturation":new qi(Dt.paint_raster["raster-saturation"]),"raster-contrast":new qi(Dt.paint_raster["raster-contrast"]),"raster-resampling":new qi(Dt.paint_raster["raster-resampling"]),"raster-fade-duration":new qi(Dt.paint_raster["raster-fade-duration"])})},vc=function(t){function e(e){t.call(this,e,dc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ki);var gc=function(t){function e(e){t.call(this,e,{}),this.implementation=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.is3D=function(){return"3d"===this.implementation.renderingMode},e.prototype.hasOffscreenPass=function(){return void 0!==this.implementation.prerender},e.prototype.recalculate=function(){},e.prototype.updateTransitions=function(){},e.prototype.hasTransition=function(){},e.prototype.serialize=function(){},e.prototype.onAdd=function(t){this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},e.prototype.onRemove=function(t){this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},e}(Ki),yc={circle:Go,heatmap:es,hillshade:ns,fill:qs,"fill-extrusion":ll,line:bl,symbol:fc,background:pc,raster:vc};var mc=self.HTMLImageElement,xc=self.HTMLCanvasElement,bc=self.HTMLVideoElement,_c=self.ImageData,wc=self.ImageBitmap,Tc=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Tc.prototype.update=function(t,e,r){var n=t.width,i=t.height,a=!(this.size&&this.size[0]===n&&this.size[1]===i||r),o=this.context,s=o.gl;if(this.useMipmap=Boolean(e&&e.useMipmap),s.bindTexture(s.TEXTURE_2D,this.texture),o.pixelStoreUnpackFlipY.set(!1),o.pixelStoreUnpack.set(1),o.pixelStoreUnpackPremultiplyAlpha.set(this.format===s.RGBA&&(!e||!1!==e.premultiply)),a)this.size=[n,i],t instanceof mc||t instanceof xc||t instanceof bc||t instanceof _c||wc&&t instanceof wc?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,i,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},u=l.x,c=l.y;t instanceof mc||t instanceof xc||t instanceof bc||t instanceof _c||wc&&t instanceof wc?s.texSubImage2D(s.TEXTURE_2D,0,u,c,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,u,c,n,i,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Tc.prototype.bind=function(t,e,r){var n=this.context.gl;n.bindTexture(n.TEXTURE_2D,this.texture),r!==n.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(r=n.LINEAR),t!==this.filter&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,t),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,r||t),this.filter=t),e!==this.wrap&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,e),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,e),this.wrap=e)},Tc.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Tc.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var Ac=function(t){var e=this;this._callback=t,this._triggered=!1,"undefined"!=typeof MessageChannel&&(this._channel=new MessageChannel,this._channel.port2.onmessage=function(){e._triggered=!1,e._callback()})};Ac.prototype.trigger=function(){var t=this;this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout(function(){t._triggered=!1,t._callback()},0))},Ac.prototype.remove=function(){delete this._channel,this._callback=function(){}};var kc=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},g(["receive","process"],this),this.invoker=new Ac(this.process),this.target.addEventListener("message",this.receive,!1),this.globalScope=k()?t:self};function Mc(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return[t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}kc.prototype.send=function(t,e,r,n,i){var a=this;void 0===i&&(i=!1);var o=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[o]=r);var s=E(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:i,sourceMapId:this.mapId,data:li(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:"<cancel>",targetMapId:n,sourceMapId:a.mapId})}}},kc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if("<cancel>"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else k()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},kc.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},kc.prototype.processTask=function(t,e){var r=this;if("<response>"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(ui(e.error)):n(null,ui(e.data)))}else{var i=!1,a=E(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:"<response>",sourceMapId:r.mapId,error:e?li(e):null,data:li(n,a)},a)}:function(t){i=!0},s=null,l=ui(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var u=e.type.split(".");s=this.parent.getWorkerSource(e.sourceMapId,u[0],l.source)[u[1]](l,o)}else o(new Error("Could not find function "+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},kc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener("message",this.receive,!1)};var Sc=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Sc.prototype.setNorthEast=function(t){return this._ne=t instanceof Lc?new Lc(t.lng,t.lat):Lc.convert(t),this},Sc.prototype.setSouthWest=function(t){return this._sw=t instanceof Lc?new Lc(t.lng,t.lat):Lc.convert(t),this},Sc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Lc)e=t,r=t;else{if(!(t instanceof Sc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Sc.convert(a))}var o=t;return this.extend(Lc.convert(o))}return this}if(e=t._sw,r=t._ne,!e||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new Lc(e.lng,e.lat),this._ne=new Lc(r.lng,r.lat)),this},Sc.prototype.getCenter=function(){return new Lc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Sc.prototype.getSouthWest=function(){return this._sw},Sc.prototype.getNorthEast=function(){return this._ne},Sc.prototype.getNorthWest=function(){return new Lc(this.getWest(),this.getNorth())},Sc.prototype.getSouthEast=function(){return new Lc(this.getEast(),this.getSouth())},Sc.prototype.getWest=function(){return this._sw.lng},Sc.prototype.getSouth=function(){return this._sw.lat},Sc.prototype.getEast=function(){return this._ne.lng},Sc.prototype.getNorth=function(){return this._ne.lat},Sc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Sc.prototype.toString=function(){return"LngLatBounds("+this._sw.toString()+", "+this._ne.toString()+")"},Sc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Sc.prototype.contains=function(t){var e=Lc.convert(t),r=e.lng,n=e.lat,i=this._sw.lat<=n&&n<=this._ne.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a},Sc.convert=function(t){return!t||t instanceof Sc?t:new Sc(t)};var Ec=6371008.8,Lc=function(t,e){if(isNaN(t)||isNaN(e))throw new Error("Invalid LngLat object: ("+t+", "+e+")");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error("Invalid LngLat latitude value: must be between -90 and 90")};Lc.prototype.wrap=function(){return new Lc(c(this.lng,-180,180),this.lat)},Lc.prototype.toArray=function(){return[this.lng,this.lat]},Lc.prototype.toString=function(){return"LngLat("+this.lng+", "+this.lat+")"},Lc.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return Ec*Math.acos(Math.min(i,1))},Lc.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Sc(new Lc(this.lng-r,this.lat-e),new Lc(this.lng+r,this.lat+e))},Lc.convert=function(t){if(t instanceof Lc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Lc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&"object"==typeof t&&null!==t)return new Lc(Number("lng"in t?t.lng:t.lon),Number(t.lat));throw new Error("`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]")};var Cc=2*Math.PI*Ec;function Pc(t){return Cc*Math.cos(t*Math.PI/180)}function Oc(t){return(180+t)/360}function Ic(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Dc(t,e){return t/Pc(e)}function zc(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var Rc=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};Rc.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Lc.convert(t);return new Rc(Oc(r.lng),Ic(r.lat),Dc(e,r.lat))},Rc.prototype.toLngLat=function(){return new Lc(360*this.x-180,zc(this.y))},Rc.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Pc(zc(e));var t,e},Rc.prototype.meterInMercatorCoordinateUnits=function(){return 1/Cc*(t=zc(this.y),1/Math.cos(t*Math.PI/180));var t};var Fc=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=jc(0,t,t,e,r)};Fc.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},Fc.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Mc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Mc(256*(r+1),256*(n+1),i),a[0]+","+a[1]+","+o[0]+","+o[1]),l=function(t,e,r){for(var n,i="",a=t;a>0;a--)i+=(e&(n=1<<a-1)?1:0)+(r&n?2:0);return i}(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace("{prefix}",(this.x%16).toString(16)+(this.y%16).toString(16)).replace("{z}",String(this.z)).replace("{x}",String(this.x)).replace("{y}",String("tms"===e?Math.pow(2,this.z)-this.y-1:this.y)).replace("{quadkey}",l).replace("{bbox-epsg-3857}",s)},Fc.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new a((t.x*e-this.x)*vo,(t.y*e-this.y)*vo)},Fc.prototype.toString=function(){return this.z+"/"+this.x+"/"+this.y};var Bc=function(t,e){this.wrap=t,this.canonical=e,this.key=jc(t,e.z,e.z,e.x,e.y)},Nc=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new Fc(r,+n,+i),this.key=jc(e,t,r,n,i)};function jc(t,e,r,n,i){(t*=2)<0&&(t=-1*t-1);var a=1<<r;return(a*a*t+a*i+n).toString(36)+r.toString(36)+e.toString(36)}Nc.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},Nc.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new Nc(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Nc(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Nc.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?jc(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):jc(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},Nc.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ<this.overscaledZ&&t.canonical.x===this.canonical.x>>e&&t.canonical.y===this.canonical.y>>e},Nc.prototype.children=function(t){if(this.overscaledZ>=t)return[new Nc(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new Nc(e,this.wrap,e,r,n),new Nc(e,this.wrap,e,r+1,n),new Nc(e,this.wrap,e,r,n+1),new Nc(e,this.wrap,e,r+1,n+1)]},Nc.prototype.isLessThan=function(t){return this.wrap<t.wrap||!(this.wrap>t.wrap)&&(this.overscaledZ<t.overscaledZ||!(this.overscaledZ>t.overscaledZ)&&(this.canonical.x<t.canonical.x||!(this.canonical.x>t.canonical.x)&&this.canonical.y<t.canonical.y))},Nc.prototype.wrapped=function(){return new Nc(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},Nc.prototype.unwrapTo=function(t){return new Nc(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},Nc.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},Nc.prototype.toUnwrapped=function(){return new Bc(this.wrap,this.canonical)},Nc.prototype.toString=function(){return this.overscaledZ+"/"+this.canonical.x+"/"+this.canonical.y},Nc.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new Rc(t.x-this.wrap,t.y))},ii("CanonicalTileID",Fc),ii("OverscaledTileID",Nc,{omit:["posMatrix"]});var Uc=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError("DEM tiles must be square");if(r&&"mapbox"!==r&&"terrarium"!==r)return w('"'+r+'" is not a valid encoding type. Valid types include "mapbox" and "terrarium".');this.stride=e.height;var n=this.dim=e.height-2;this.data=new Uint32Array(e.data.buffer),this.encoding=r||"mapbox";for(var i=0;i<n;i++)this.data[this._idx(-1,i)]=this.data[this._idx(0,i)],this.data[this._idx(n,i)]=this.data[this._idx(n-1,i)],this.data[this._idx(i,-1)]=this.data[this._idx(i,0)],this.data[this._idx(i,n)]=this.data[this._idx(i,n-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(n,-1)]=this.data[this._idx(n-1,0)],this.data[this._idx(-1,n)]=this.data[this._idx(0,n-1)],this.data[this._idx(n,n)]=this.data[this._idx(n-1,n-1)]};Uc.prototype.get=function(t,e){var r=new Uint8Array(this.data.buffer),n=4*this._idx(t,e);return("terrarium"===this.encoding?this._unpackTerrarium:this._unpackMapbox)(r[n],r[n+1],r[n+2])},Uc.prototype.getUnpackVector=function(){return"terrarium"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},Uc.prototype._idx=function(t,e){if(t<-1||t>=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError("out of range source coordinates for DEM data");return(e+1)*this.stride+(t+1)},Uc.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Uc.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Uc.prototype.getPixels=function(){return new $o({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Uc.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error("dem dimension mismatch");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,u=a;u<o;u++)for(var c=n;c<i;c++)this.data[this._idx(c,u)]=t.data[this._idx(c+s,u+l)]},ii("DEMData",Uc);var Vc=function(t){this._stringToNumber={},this._numberToString=[];for(var e=0;e<t.length;e++){var r=t[e];this._stringToNumber[r]=e,this._numberToString[e]=r}};Vc.prototype.encode=function(t){return this._stringToNumber[t]},Vc.prototype.decode=function(t){return this._numberToString[t]};var Hc=function(t,e,r,n,i){this.type="Feature",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,this.id=i},qc={geometry:{configurable:!0}};qc.geometry.get=function(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},qc.geometry.set=function(t){this._geometry=t},Hc.prototype.toJSON=function(){var t={geometry:this.geometry};for(var e in this)"_geometry"!==e&&"_vectorTileFeature"!==e&&(t[e]=this[e]);return t},Object.defineProperties(Hc.prototype,qc);var Gc=function(){this.state={},this.stateChanges={},this.deletedStates={}};Gc.prototype.updateState=function(t,e,r){var n=String(e);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][n]=this.stateChanges[t][n]||{},f(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var i in this.deletedStates[t]={},this.state[t])i!==n&&(this.deletedStates[t][i]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var a in this.deletedStates[t][n]={},this.state[t][n])r[a]||(this.deletedStates[t][n][a]=null);else for(var o in r)this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]},Gc.prototype.removeFeatureState=function(t,e,r){if(null!==this.deletedStates[t]){var n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e)if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null;else this.deletedStates[t]=null}},Gc.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},i=this.stateChanges[t]||{},a=f({},n[r],i[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var o=this.deletedStates[t][e];if(null===o)return{};for(var s in o)delete a[s]}return a},Gc.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},Gc.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var i={};for(var a in this.stateChanges[n])this.state[n][a]||(this.state[n][a]={}),f(this.state[n][a],this.stateChanges[n][a]),i[a]=this.state[n][a];r[n]=i}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var u in this.deletedStates[o]){if(null===this.deletedStates[o][u])this.state[o][u]={};else for(var c=0,h=Object.keys(this.deletedStates[o][u]);c<h.length;c+=1){var p=h[c];delete this.state[o][u][p]}s[u]=this.state[o][u]}r[o]=r[o]||{},f(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t)t[d].setFeatureState(r,e)};var Yc=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new $n(vo,16,0),this.grid3D=new $n(vo,16,0),this.featureIndexArray=new Da,this.promoteId=e};function Wc(t,e,r,n,i){return m(t,function(t,a){var o=e instanceof Hi?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o})}function Zc(t){for(var e=1/0,r=1/0,n=-1/0,i=-1/0,a=0,o=t;a<o.length;a+=1){var s=o[a];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),i=Math.max(i,s.y)}return{minX:e,minY:r,maxX:n,maxY:i}}function Xc(t,e){return e-t}Yc.prototype.insert=function(t,e,r,n,i,a){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,i);for(var s=a?this.grid3D:this.grid,l=0;l<e.length;l++){for(var u=e[l],c=[1/0,1/0,-1/0,-1/0],f=0;f<u.length;f++){var h=u[f];c[0]=Math.min(c[0],h.x),c[1]=Math.min(c[1],h.y),c[2]=Math.max(c[2],h.x),c[3]=Math.max(c[3],h.y)}c[0]<vo&&c[1]<vo&&c[2]>=0&&c[3]>=0&&s.insert(o,c[0],c[1],c[2],c[3])}},Yc.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new tl.VectorTile(new Ol(this.rawTileData)).layers,this.sourceLayerCoder=new Vc(this.vtLayers?Object.keys(this.vtLayers).sort():["_geojsonTileLayer"])),this.vtLayers},Yc.prototype.query=function(t,e,r,n){var i=this;this.loadVTLayers();for(var o=t.params||{},s=vo/t.tileSize/t.scale,l=Tn(o.filter),u=t.queryGeometry,c=t.queryPadding*s,f=Zc(u),h=this.grid.query(f.minX-c,f.minY-c,f.maxX+c,f.maxY+c),p=Zc(t.cameraQueryGeometry),d=0,v=this.grid3D.query(p.minX-c,p.minY-c,p.maxX+c,p.maxY+c,function(e,r,n,i){return function(t,e,r,n,i){for(var o=0,s=t;o<s.length;o+=1){var l=s[o];if(e<=l.x&&r<=l.y&&n>=l.x&&i>=l.y)return!0}var u=[new a(e,r),new a(e,i),new a(n,i),new a(n,r)];if(t.length>2)for(var c=0,f=u;c<f.length;c+=1)if(Co(t,f[c]))return!0;for(var h=0;h<t.length-1;h++)if(Po(t[h],t[h+1],u))return!0;return!1}(t.cameraQueryGeometry,e-c,r-c,n+c,i+c)});d<v.length;d+=1){var g=v[d];h.push(g)}h.sort(Xc);for(var y,m={},x=function(a){var c=h[a];if(c!==y){y=c;var f=i.featureIndexArray.get(c),p=null;i.loadMatchingFeature(m,f.bucketIndex,f.sourceLayerIndex,f.featureIndex,l,o.layers,o.availableImages,e,r,n,function(e,r,n){return p||(p=mo(e)),r.queryIntersectsFeature(u,e,n,p,i.z,t.transform,s,t.pixelPosMatrix)})}},b=0;b<h.length;b++)x(b);return m},Yc.prototype.loadMatchingFeature=function(t,e,r,n,i,a,o,s,l,u,c){var f=this.bucketLayerIDs[e];if(!a||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),p=this.vtLayers[h].feature(n);if(i.filter(new zi(this.tileID.overscaledZ),p))for(var d=this.getId(p,h),v=0;v<f.length;v++){var g=f[v];if(!(a&&a.indexOf(g)<0)){var y=s[g];if(y){var m={};void 0!==d&&u&&(m=u.getState(y.sourceLayer||"_geojsonTileLayer",d));var x=l[g];x.paint=Wc(x.paint,y.paint,p,m,o),x.layout=Wc(x.layout,y.layout,p,m,o);var b=!c||c(p,y,m);if(b){var _=new Hc(p,this.z,this.x,this.y,d);_.layer=x;var w=t[g];void 0===w&&(w=t[g]=[]),w.push({featureIndex:n,feature:_,intersectionZ:b})}}}}}},Yc.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a,o,s){var l={};this.loadVTLayers();for(var u=Tn(i),c=0,f=t;c<f.length;c+=1){var h=f[c];this.loadMatchingFeature(l,r,n,h,u,a,o,s,e)}return l},Yc.prototype.hasLayer=function(t){for(var e=0,r=this.bucketLayerIDs;e<r.length;e+=1)for(var n=0,i=r[e];n<i.length;n+=1)if(t===i[n])return!0;return!1},Yc.prototype.getId=function(t,e){var r=t.id;if(this.promoteId){var n="string"==typeof this.promoteId?this.promoteId:this.promoteId[e];"boolean"==typeof(r=t.properties[n])&&(r=Number(r))}return r},ii("FeatureIndex",Yc,{omit:["rawTileData","sourceLayerCoder"]});var Jc=function(t,e){this.tileID=t,this.uid=p(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state="loading"};Jc.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<F.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},Jc.prototype.wasRequested=function(){return"errored"===this.state||"loaded"===this.state||"reloading"===this.state},Jc.prototype.loadVectorData=function(t,e,r){if(this.hasData()&&this.unloadVectorData(),this.state="loaded",t){for(var n in t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){var r={};if(!e)return r;for(var n=function(){var t=a[i],n=t.layerIds.map(function(t){return e.getLayer(t)}).filter(Boolean);if(0!==n.length){t.layers=n,t.stateDependentLayerIds&&(t.stateDependentLayers=t.stateDependentLayerIds.map(function(t){return n.filter(function(e){return e.id===t})[0]}));for(var o=0,s=n;o<s.length;o+=1){var l=s[o];r[l.id]=t}}},i=0,a=t;i<a.length;i+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var i=this.buckets[n];if(i instanceof sc){if(this.hasSymbolBuckets=!0,!r)break;i.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(var a in this.buckets){var o=this.buckets[a];if(o instanceof sc&&o.hasRTLText){this.hasRTLText=!0,Di();break}}for(var s in this.queryPadding=0,this.buckets){var l=this.buckets[s];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(s).queryRadius(l))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new Ma},Jc.prototype.unloadVectorData=function(){for(var t in this.buckets)this.buckets[t].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state="unloaded"},Jc.prototype.getBucket=function(t){return this.buckets[t.id]},Jc.prototype.upload=function(t){for(var e in this.buckets){var r=this.buckets[e];r.uploadPending()&&r.upload(t)}var n=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new Tc(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Tc(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},Jc.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},Jc.prototype.queryRenderedFeatures=function(t,e,r,n,i,a,o,s,l,u){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:u,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},Jc.prototype.querySourceFeatures=function(t,e){var r=this.latestFeatureIndex;if(r&&r.rawTileData){var n=r.loadVTLayers(),i=e?e.sourceLayer:"",a=n._geojsonTileLayer||n[i];if(a)for(var o=Tn(e&&e.filter),s=this.tileID.canonical,l=s.z,u=s.x,c=s.y,f={z:l,x:u,y:c},h=0;h<a.length;h++){var p=a.feature(h);if(o.filter(new zi(this.tileID.overscaledZ),p)){var d=r.getId(p,i),v=new Hc(p,l,u,c,d);v.tile=f,t.push(v)}}}},Jc.prototype.hasData=function(){return"loaded"===this.state||"reloading"===this.state||"expired"===this.state},Jc.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},Jc.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=M(t.cacheControl);r["max-age"]&&(this.expirationTime=Date.now()+1e3*r["max-age"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),i=!1;if(this.expirationTime>n)i=!1;else if(e)if(this.expirationTime<e)i=!0;else{var a=this.expirationTime-e;a?this.expirationTime=n+Math.max(a,3e4):i=!0}else i=!0;i?(this.expiredRequestCount++,this.state="expired"):this.expiredRequestCount=0}},Jc.prototype.getExpiryTimeout=function(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-(new Date).getTime(),Math.pow(2,31)-1)},Jc.prototype.setFeatureState=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData&&0!==Object.keys(t).length){var r=this.latestFeatureIndex.loadVTLayers();for(var n in this.buckets)if(e.style.hasLayer(n)){var i=this.buckets[n],a=i.layers[0].sourceLayer||"_geojsonTileLayer",o=r[a],s=t[a];if(o&&s&&0!==Object.keys(s).length){i.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});var l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(i)))}}}},Jc.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},Jc.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<F.now()},Jc.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},Jc.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=F.now()+t},Jc.prototype.setDependencies=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1)r[i[n]]=!0;this.dependencies[t]=r},Jc.prototype.hasDependency=function(t,e){for(var r=0,n=t;r<n.length;r+=1){var i=n[r],a=this.dependencies[i];if(a)for(var o=0,s=e;o<s.length;o+=1)if(a[s[o]])return!0}return!1};var Kc=self.performance,$c=function(t){this._marks={start:[t.url,"start"].join("#"),end:[t.url,"end"].join("#"),measure:t.url.toString()},Kc.mark(this._marks.start)};$c.prototype.finish=function(){Kc.mark(this._marks.end);var t=Kc.getEntriesByName(this._marks.measure);return 0===t.length&&(Kc.measure(this._marks.measure,this._marks.start,this._marks.end),t=Kc.getEntriesByName(this._marks.measure),Kc.clearMarks(this._marks.start),Kc.clearMarks(this._marks.end),Kc.clearMeasures(this._marks.measure)),t},t.Actor=kc,t.AlphaImage=Ko,t.CanonicalTileID=Fc,t.CollisionBoxArray=Ma,t.Color=oe,t.DEMData=Uc,t.DataConstantProperty=qi,t.DictionaryCoder=Vc,t.EXTENT=vo,t.ErrorEvent=Ot,t.EvaluationParameters=zi,t.Event=Pt,t.Evented=It,t.FeatureIndex=Yc,t.FillBucket=Us,t.FillExtrusionBucket=il,t.ImageAtlas=iu,t.ImagePosition=ru,t.LineBucket=vl,t.LngLat=Lc,t.LngLatBounds=Sc,t.MercatorCoordinate=Rc,t.ONE_EM=Ll,t.OverscaledTileID=Nc,t.Point=a,t.Point$1=a,t.Properties=Xi,t.Protobuf=Ol,t.RGBAImage=$o,t.RequestManager=q,t.RequestPerformance=$c,t.ResourceType=mt,t.SegmentVector=Ra,t.SourceFeatureState=Gc,t.StructArrayLayout1ui2=wa,t.StructArrayLayout2f1f2i16=pa,t.StructArrayLayout2i4=na,t.StructArrayLayout3ui6=va,t.StructArrayLayout4i8=ia,t.SymbolBucket=sc,t.Texture=Tc,t.Tile=Jc,t.Transitionable=Bi,t.Uniform1f=Ka,t.Uniform1i=Ja,t.Uniform2f=$a,t.Uniform3f=Qa,t.Uniform4f=to,t.UniformColor=eo,t.UniformMatrix4f=no,t.UnwrappedTileID=Bc,t.ValidationError=zt,t.WritingMode=au,t.ZoomHistory=ci,t.add=function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t},t.addDynamicAttributes=nc,t.asyncAll=function(t,e,r){if(!t.length)return r(null,[]);var n=t.length,i=new Array(t.length),a=null;t.forEach(function(t,o){e(t,function(t,e){t&&(a=t),i[o]=e,0===--n&&r(a,i)})})},t.bezier=s,t.bindAll=g,t.browser=F,t.cacheEntryPossiblyAdded=function(t){++gt>ct&&(t.getActor().send("enforceCacheSizeLimit",ut),gt=0)},t.clamp=u,t.clearTileCache=function(t){var e=self.caches.delete(lt);t&&e.catch(t).then(function(){return t()})},t.clipLine=Du,t.clone=function(t){var e=new Fo(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e},t.clone$1=b,t.clone$2=function(t){var e=new Fo(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=Ml,t.config=B,t.create=function(){var t=new Fo(16);return Fo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0),t[0]=1,t[5]=1,t[10]=1,t[15]=1,t},t.create$1=function(){var t=new Fo(9);return Fo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[5]=0,t[6]=0,t[7]=0),t[0]=1,t[4]=1,t[8]=1,t},t.create$2=function(){var t=new Fo(4);return Fo!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t},t.createCommonjsModule=e,t.createExpression=un,t.createLayout=ea,t.createStyleLayer=function(t){return"custom"===t.type?new gc(t):new yc[t.type](t)},t.cross=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=r[0],s=r[1],l=r[2];return t[0]=i*l-a*s,t[1]=a*o-n*l,t[2]=n*s-i*o,t},t.deepEqual=function t(e,r){if(Array.isArray(e)){if(!Array.isArray(r)||e.length!==r.length)return!1;for(var n=0;n<e.length;n++)if(!t(e[n],r[n]))return!1;return!0}if("object"==typeof e&&null!==e&&null!==r){if("object"!=typeof r)return!1;if(Object.keys(e).length!==Object.keys(r).length)return!1;for(var i in e)if(!t(e[i],r[i]))return!1;return!0}return 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n=this._geoJSONIndex.getTile(r.z,r.x,r.y);if(!n)return e(null,null);var i=new g(n.features),a=_(i);0===a.byteOffset&&a.byteLength===a.buffer.byteLength||(a=new Uint8Array(a)),e(null,{vectorTile:i,rawData:a.buffer})}V.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,i=e.maxZoom,a=e.nodeSize;r&&console.time("total time");var o="prepare "+t.length+" points";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(q(t[l],l));this.trees[i+1]=new j(s,J,K,a,Float32Array),r&&console.timeEnd(o);for(var u=i;u>=n;u--){var c=+Date.now();s=this._cluster(s,u),this.trees[u]=new j(s,J,K,a,Float32Array),r&&console.log("z%d: %d clusters in %dms",u,s.length,+Date.now()-c)}return r&&console.timeEnd("total time"),this},V.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],u=[],c=0,f=l.range(W(r),Z(a),W(i),Z(n));c<f.length;c+=1){var h=f[c],p=l.points[h];u.push(p.numPoints?G(p):this.points[p.index])}return u},V.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),n="No cluster with the specified id.",i=this.trees[r];if(!i)throw new Error(n);var a=i.points[e];if(!a)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,u=i.within(a.x,a.y,o);l<u.length;l+=1){var c=u[l],f=i.points[c];f.parentId===t&&s.push(f.numPoints?G(f):this.points[f.index])}if(0===s.length)throw new Error(n);return s},V.prototype.getLeaves=function(t,e,r){e=e||10,r=r||0;var n=[];return this._appendLeaves(n,t,e,r,0),n},V.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),a=this.options,o=a.extent,s=a.radius/o,l=(r-s)/i,u=(r+1+s)/i,c={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,u),n.points,e,r,i,c),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,u),n.points,i,r,i,c),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,u),n.points,-1,r,i,c),c.features.length?c:null},V.prototype.getClusterExpansionZoom=function(t){for(var e=this._getOriginZoom(t)-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},V.prototype._appendLeaves=function(t,e,r,n,i){for(var a=0,o=this.getChildren(e);a<o.length;a+=1){var s=o[a],l=s.properties;if(l&&l.cluster?i+l.point_count<=n?i+=l.point_count:i=this._appendLeaves(t,l.cluster_id,r,n,i):i<n?i++:t.push(s),t.length===r)break}return i},V.prototype._addTileFeatures=function(t,e,r,n,i,a){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],u=l.numPoints,c={type:1,geometry:[[Math.round(this.options.extent*(l.x*i-r)),Math.round(this.options.extent*(l.y*i-n))]],tags:u?Y(l):this.points[l.index].properties},f=void 0;u?f=l.id:this.options.generateId?f=l.index:this.points[l.index].id&&(f=this.points[l.index].id),void 0!==f&&(c.id=f),a.features.push(c)}},V.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(t,this.options.maxZoom+1))},V.prototype._cluster=function(t,e){for(var r=[],n=this.options,i=n.radius,a=n.extent,o=n.reduce,s=i/(a*Math.pow(2,e)),l=0;l<t.length;l++){var u=t[l];if(!(u.zoom<=e)){u.zoom=e;for(var c=this.trees[e+1],f=c.within(u.x,u.y,s),h=u.numPoints||1,p=u.x*h,d=u.y*h,v=o&&h>1?this._map(u,!0):null,g=(l<<5)+(e+1)+this.points.length,y=0,m=f;y<m.length;y+=1){var x=m[y],b=c.points[x];if(!(b.zoom<=e)){b.zoom=e;var _=b.numPoints||1;p+=b.x*_,d+=b.y*_,h+=_,b.parentId=g,o&&(v||(v=this._map(u,!0)),o(v,this._map(b)))}}1===h?r.push(u):(u.parentId=g,r.push(H(p/h,d/h,g,h,v)))}}return r},V.prototype._getOriginId=function(t){return t-this.points.length>>5},V.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},V.prototype._map=function(t,e){if(t.numPoints)return e?X({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?X({},n):n},Tt.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},Tt.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,u=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var c=1<<e,f=At(e,r,n),h=this.tiles[f];if(!h&&(u>1&&console.time("creation"),h=this.tiles[f]=bt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),u)){u>1&&(console.log("tile z%d-%d-%d (features: %d, points: %d, simplified: %d)",e,r,n,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd("creation"));var p="z"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<<i-e;if(r!==Math.floor(a/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||h.numPoints<=l.indexMaxPoints)continue;if(h.source=null,0!==t.length){u>1&&console.time("clipping");var v,g,y,m,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,A=1+_;v=g=y=m=null,x=lt(t,c,r-_,r+T,0,h.minX,h.maxX,l),b=lt(t,c,r+w,r+A,0,h.minX,h.maxX,l),t=null,x&&(v=lt(x,c,n-_,n+T,1,h.minY,h.maxY,l),g=lt(x,c,n+w,n+A,1,h.minY,h.maxY,l),x=null),b&&(y=lt(b,c,n-_,n+T,1,h.minY,h.maxY,l),m=lt(b,c,n+w,n+A,1,h.minY,h.maxY,l),b=null),u>1&&console.timeEnd("clipping"),s.push(v||[],e+1,2*r,2*n),s.push(g||[],e+1,2*r,2*n+1),s.push(y||[],e+1,2*r+1,2*n),s.push(m||[],e+1,2*r+1,2*n+1)}}},Tt.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<<t,s=At(t,e=(e%o+o)%o,r);if(this.tiles[s])return mt(this.tiles[s],i);a>1&&console.log("drilling down to z%d-%d-%d",t,e,r);for(var l,u=t,c=e,f=r;!l&&u>0;)u--,c=Math.floor(c/2),f=Math.floor(f/2),l=this.tiles[At(u,c,f)];return l&&l.source?(a>1&&console.log("found parent tile z%d-%d-%d",u,c,f),a>1&&console.time("drilling down"),this.splitTile(l.source,u,c,f,t,e,r),a>1&&console.timeEnd("drilling down"),this.tiles[s]?mt(this.tiles[s],i):null):null};var Mt=function(e){function r(t,r,n,i){e.call(this,t,r,n,kt),i&&(this.loadGeoJSON=i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&"Idle"!==this._state?this._state="NeedsLoadData":(this._state="Coalescing",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,function(a,o){if(a||!o)return r(a);if("object"!=typeof o)return r(new Error("Input data given to '"+n.source+"' is not a valid GeoJSON object."));f(o,!0);try{e._geoJSONIndex=n.cluster?new V(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),u=0,c=l;u<c.length;u+=1){var f=c[u],h=n[f],p=h[0],d=h[1],v=t.createExpression(d),g=t.createExpression("string"==typeof p?[p,["accumulated"],["get",f]]:p);i[f]=v.value,a[f]=g.value}return r.map=function(t){s.properties=t;for(var e={},r=0,n=l;r<n.length;r+=1){var a=n[r];e[a]=i[a].evaluate(o,s)}return e},r.reduce=function(t,e){s.properties=e;for(var r=0,n=l;r<n.length;r+=1){var i=n[r];o.accumulated=t[i],t[i]=a[i].evaluate(o,s)}},r}(n)).load(o.features):function(t,e){return new Tt(t,e)}(o,n.geojsonVtOptions)}catch(a){return r(a)}e.loaded={};var s={};if(i){var l=i.finish();l&&(s.resourceTiming={},s.resourceTiming[n.source]=JSON.parse(JSON.stringify(l)))}r(null,s)})}},r.prototype.coalesce=function(){"Coalescing"===this._state?this._state="Idle":"NeedsLoadData"===this._state&&(this._state="Coalescing",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded,i=t.uid;return n&&n[i]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if("string"!=typeof e.data)return r(new Error("Input data given to '"+e.source+"' is not a valid GeoJSON object."));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error("Input data given to '"+e.source+"' is not a valid GeoJSON object."))}}},r.prototype.removeSource=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),e()},r.prototype.getClusterExpansionZoom=function(t,e){try{e(null,this._geoJSONIndex.getClusterExpansionZoom(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterChildren=function(t,e){try{e(null,this._geoJSONIndex.getChildren(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterLeaves=function(t,e){try{e(null,this._geoJSONIndex.getLeaves(t.clusterId,t.limit,t.offset))}catch(t){e(t)}},r}(l);var St=function(e){var r=this;this.self=e,this.actor=new t.Actor(e,this),this.layerIndexes={},this.availableImages={},this.workerSourceTypes={vector:l,geojson:Mt},this.workerSources={},this.demWorkerSources={},this.self.registerWorkerSource=function(t,e){if(r.workerSourceTypes[t])throw new Error('Worker source with name "'+t+'" already registered.');r.workerSourceTypes[t]=e},this.self.registerRTLTextPlugin=function(e){if(t.plugin.isParsed())throw new Error("RTL text plugin already registered.");t.plugin.applyArabicShaping=e.applyArabicShaping,t.plugin.processBidirectionalText=e.processBidirectionalText,t.plugin.processStyledBidirectionalText=e.processStyledBidirectionalText}};return St.prototype.setReferrer=function(t,e){this.referrer=e},St.prototype.setImages=function(t,e,r){for(var n in this.availableImages[t]=e,this.workerSources[t]){var i=this.workerSources[t][n];for(var a in 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Object support":"insufficient Function support":"insufficent Array support":"not a browser";var r}t.exports?t.exports=e:window&&(window.mapboxgl=window.mapboxgl||{},window.mapboxgl.supported=e,window.mapboxgl.notSupportedReason=r);var n={};e.webGLContextAttributes={antialias:!1,alpha:!0,stencil:!0,depth:!0}}),r={create:function(e,r,n){var i=t.window.document.createElement(e);return void 0!==r&&(i.className=r),n&&n.appendChild(i),i},createNS:function(e,r){return t.window.document.createElementNS(e,r)}},n=t.window.document.documentElement.style;function i(t){if(!n)return t[0];for(var e=0;e<t.length;e++)if(t[e]in n)return t[e];return t[0]}var a,o=i(["userSelect","MozUserSelect","WebkitUserSelect","msUserSelect"]);r.disableDrag=function(){n&&o&&(a=n[o],n[o]="none")},r.enableDrag=function(){n&&o&&(n[o]=a)};var s=i(["transform","WebkitTransform"]);r.setTransform=function(t,e){t.style[s]=e};var l=!1;try{var u=Object.defineProperty({},"passive",{get:function(){l=!0}});t.window.addEventListener("test",u,u),t.window.removeEventListener("test",u,u)}catch(t){l=!1}r.addEventListener=function(t,e,r,n){void 0===n&&(n={}),"passive"in n&&l?t.addEventListener(e,r,n):t.addEventListener(e,r,n.capture)},r.removeEventListener=function(t,e,r,n){void 0===n&&(n={}),"passive"in n&&l?t.removeEventListener(e,r,n):t.removeEventListener(e,r,n.capture)};var c=function(e){e.preventDefault(),e.stopPropagation(),t.window.removeEventListener("click",c,!0)};function f(t){var e=t.userImage;return!!(e&&e.render&&e.render())&&(t.data.replace(new Uint8Array(e.data.buffer)),!0)}r.suppressClick=function(){t.window.addEventListener("click",c,!0),t.window.setTimeout(function(){t.window.removeEventListener("click",c,!0)},0)},r.mousePos=function(e,r){var n=e.getBoundingClientRect();return new t.Point(r.clientX-n.left-e.clientLeft,r.clientY-n.top-e.clientTop)},r.touchPos=function(e,r){for(var 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r=this.images[t];e.version=r.version+1,this.images[t]=e,this.updatedImages[t]=!0},r.prototype.removeImage=function(t){var e=this.images[t];delete this.images[t],delete this.patterns[t],e.userImage&&e.userImage.onRemove&&e.userImage.onRemove()},r.prototype.listImages=function(){return Object.keys(this.images)},r.prototype.getImages=function(t,e){var r=!0;if(!this.isLoaded())for(var n=0,i=t;n<i.length;n+=1){var a=i[n];this.images[a]||(r=!1)}this.isLoaded()||r?this._notify(t,e):this.requestors.push({ids:t,callback:e})},r.prototype._notify=function(e,r){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i];this.images[o]||this.fire(new t.Event("styleimagemissing",{id:o}));var s=this.images[o];s?n[o]={data:s.data.clone(),pixelRatio:s.pixelRatio,sdf:s.sdf,version:s.version,stretchX:s.stretchX,stretchY:s.stretchY,content:s.content,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image "'+o+'" could not be loaded. Please make sure you have added the image with map.addImage() or a "sprite" property in your style. You can provide missing images by listening for the "styleimagemissing" map event.')}r(null,n)},r.prototype.getPixelSize=function(){var t=this.atlasImage;return{width:t.width,height:t.height}},r.prototype.getPattern=function(e){var r=this.patterns[e],n=this.getImage(e);if(!n)return null;if(r&&r.position.version===n.version)return r.position;if(r)r.position.version=n.version;else{var i={w:n.data.width+2,h:n.data.height+2,x:0,y:0},a=new t.ImagePosition(i,n);this.patterns[e]={bin:i,position:a}}return this._updatePatternAtlas(),this.patterns[e].position},r.prototype.bind=function(e){var r=e.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new t.Texture(e,this.atlasImage,r.RGBA),this.atlasTexture.bind(r.LINEAR,r.CLAMP_TO_EDGE)},r.prototype._updatePatternAtlas=function(){var e=[];for(var r in this.patterns)e.push(this.patterns[r].bin);var n=t.potpack(e),i=n.w,a=n.h,o=this.atlasImage;for(var s in o.resize({width:i||1,height:a||1}),this.patterns){var l=this.patterns[s].bin,u=l.x+1,c=l.y+1,f=this.images[s].data,h=f.width,p=f.height;t.RGBAImage.copy(f,o,{x:0,y:0},{x:u,y:c},{width:h,height:p}),t.RGBAImage.copy(f,o,{x:0,y:p-1},{x:u,y:c-1},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:u,y:c+p},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:h-1,y:0},{x:u-1,y:c},{width:1,height:p}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:u+h,y:c},{width:1,height:p})}this.dirty=!0},r.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},r.prototype.dispatchRenderCallbacks=function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!this.callbackDispatchedThisFrame[n]){this.callbackDispatchedThisFrame[n]=!0;var i=this.images[n];f(i)&&this.updateImage(n,i)}}},r}(t.Evented);var p=g,d=g,v=1e20;function g(t,e,r,n,i,a){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=i||"sans-serif",this.fontWeight=a||"normal",this.radius=r||8;var o=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement("canvas"),this.canvas.width=this.canvas.height=o,this.ctx=this.canvas.getContext("2d"),this.ctx.font=this.fontWeight+" "+this.fontSize+"px "+this.fontFamily,this.ctx.textBaseline="middle",this.ctx.fillStyle="black",this.gridOuter=new Float64Array(o*o),this.gridInner=new Float64Array(o*o),this.f=new Float64Array(o),this.d=new Float64Array(o),this.z=new Float64Array(o+1),this.v=new Int16Array(o),this.middle=Math.round(o/2*(navigator.userAgent.indexOf("Gecko/")>=0?1.2:1))}function y(t,e,r,n,i,a,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(m(n,i,a,o,r),l=0;l<r;l++)t[l*e+s]=i[l]}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(m(n,i,a,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(i[s])}}function m(t,e,r,n,i){r[0]=0,n[0]=-v,n[1]=+v;for(var a=1,o=0;a<i;a++){for(var s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);s<=n[o];)o--,s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);r[++o]=a,n[o]=s,n[o+1]=+v}for(a=0,o=0;a<i;a++){for(;n[o+1]<a;)o++;e[a]=(a-r[o])*(a-r[o])+t[r[o]]}}g.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),r=new Uint8ClampedArray(this.size*this.size),n=0;n<this.size*this.size;n++){var i=e.data[4*n+3]/255;this.gridOuter[n]=1===i?0:0===i?v:Math.pow(Math.max(0,.5-i),2),this.gridInner[n]=1===i?v:0===i?0:Math.pow(Math.max(0,i-.5),2)}for(y(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),y(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++){var a=this.gridOuter[n]-this.gridInner[n];r[n]=Math.max(0,Math.min(255,Math.round(255-255*(a/this.radius+this.cutoff))))}return r},p.default=d;var x=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};x.prototype.setURL=function(t){this.url=t},x.prototype.getGlyphs=function(e,r){var n=this,i=[];for(var a in e)for(var o=0,s=e[a];o<s.length;o+=1){var l=s[o];i.push({stack:a,id:l})}t.asyncAll(i,function(t,e){var r=t.stack,i=t.id,a=n.entries[r];a||(a=n.entries[r]={glyphs:{},requests:{},ranges:{}});var o=a.glyphs[i];if(void 0===o){if(o=n._tinySDF(a,r,i))return a.glyphs[i]=o,void e(null,{stack:r,id:i,glyph:o});var s=Math.floor(i/256);if(256*s>65535)e(new Error("glyphs > 65535 not supported"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i<o.length;i+=1)(0,o[i])(t,e);delete a.requests[s]})),l.push(function(t,n){t?e(t):n&&e(null,{stack:r,id:i,glyph:n[i]||null})})}}else e(null,{stack:r,id:i,glyph:o})},function(t,e){if(t)r(t);else if(e){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.stack,l=o.id,u=o.glyph;(n[s]||(n[s]={}))[l]=u&&{id:u.id,bitmap:u.bitmap.clone(),metrics:u.metrics}}r(null,n)}})},x.prototype._doesCharSupportLocalGlyph=function(e){return!!this.localIdeographFontFamily&&(t.isChar["CJK Unified Ideographs"](e)||t.isChar["Hangul Syllables"](e)||t.isChar.Hiragana(e)||t.isChar.Katakana(e))},x.prototype._tinySDF=function(e,r,n){var i=this.localIdeographFontFamily;if(i&&this._doesCharSupportLocalGlyph(n)){var a=e.tinySDF;if(!a){var o="400";/bold/i.test(r)?o="900":/medium/i.test(r)?o="500":/light/i.test(r)&&(o="200"),a=e.tinySDF=new x.TinySDF(24,3,8,.25,i,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},a.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,i,a){var o=256*r,s=o+255,l=i.transformRequest(i.normalizeGlyphsURL(n).replace("{fontstack}",e).replace("{range}",o+"-"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,function(e,r){if(e)a(e);else if(r){for(var n={},i=0,o=t.parseGlyphPBF(r);i<o.length;i+=1){var s=o[i];n[s.id]=s}a(null,n)}})},x.TinySDF=p;var b=function(){this.specification=t.styleSpec.light.position};b.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},b.prototype.interpolate=function(e,r,n){return{x:t.number(e.x,r.x,n),y:t.number(e.y,r.y,n),z:t.number(e.z,r.z,n)}};var _=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new b,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),w="-transition",T=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(_),this.setLight(r),this._transitioning=this._transitionable.untransitioned()}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getLight=function(){return this._transitionable.serialize()},r.prototype.setLight=function(e,r){if(void 0===r&&(r={}),!this._validate(t.validateLight,e,r))for(var n in e){var i=e[n];t.endsWith(n,w)?this._transitionable.setTransition(n.slice(0,-11),i):this._transitionable.setValue(n,i)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),A=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};A.prototype.getDash=function(t,e){var r=t.join(",")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]},A.prototype.getDashRanges=function(t,e,r){var n=[],i=t.length%2==1?-t[t.length-1]*r:0,a=t[0]*r,o=!0;n.push({left:i,right:a,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){o=!o;var u=t[l];i=s*r,a=(s+=u)*r,n.push({left:i,right:a,isDash:o,zeroLength:0===u})}return n},A.prototype.addRoundDash=function(t,e,r){for(var n=e/2,i=-r;i<=r;i++)for(var a=this.nextRow+r+i,o=this.width*a,s=0,l=t[s],u=0;u<this.width;u++){u/l.right>1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=void 0,d=i/r*(n+1);if(l.isDash){var v=n-Math.abs(d);p=Math.sqrt(h*h+v*v)}else p=n-Math.sqrt(h*h+d*d);this.data[o+u]=Math.max(0,Math.min(255,p+128))}},A.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],u=0;u<this.width;u++){u/l.right>1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=l.isDash?h:-h;this.data[o+u]=Math.max(0,Math.min(255,p+128))}},A.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce("LineAtlas out of space"),null;for(var a=0,o=0;o<e.length;o++)a+=e[o];if(0!==a){var s=this.width/a,l=this.getDashRanges(e,this.width,s);r?this.addRoundDash(l,s,n):this.addRegularDash(l)}var u={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,u},A.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))};var k=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var i=this.workerPool.acquire(this.id),a=0;a<i.length;a++){var o=i[a],s=new e.Actor(o,n,this.id);s.name="Worker "+a,this.actors.push(s)}};function M(e,r,n){var i=function(i,a){if(i)return n(i);if(a){var o=t.pick(t.extend(a,e),["tiles","minzoom","maxzoom","attribution","mapbox_logo","bounds","scheme","tileSize","encoding"]);a.vector_layers&&(o.vectorLayers=a.vector_layers,o.vectorLayerIds=o.vectorLayers.map(function(t){return t.id})),o.tiles=r.canonicalizeTileset(o,e.url),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),i):t.browser.frame(function(){return i(null,e)})}k.prototype.broadcast=function(e,r,n){n=n||function(){},t.asyncAll(this.actors,function(t,n){t.send(e,r,n)},n)},k.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},k.prototype.remove=function(){this.actors.forEach(function(t){t.remove()}),this.actors=[],this.workerPool.release(this.id)},k.Actor=t.Actor;var S=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};S.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},S.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),i=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),a=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<a&&e.y>=i&&e.y<o};var E=function(e){function r(r,n,i,a){if(e.call(this),this.id=r,this.dispatcher=i,this.type="vector",this.minzoom=0,this.maxzoom=22,this.scheme="xyz",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.extend(this,t.pick(n,["url","scheme","tileSize","promoteId"])),this._options=t.extend({type:"vector"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error("vector tile sources must have a tileSize of 512");this.setEventedParent(a)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event("dataloading",{dataType:"source"})),this._tileJSONRequest=M(this._options,this.map._requestManager,function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new S(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"metadata"})),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"content"})))})},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme)),i={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};function a(n,i){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(i&&i.resourceTiming&&(e.resourceTiming=i.resourceTiming),this.map._refreshExpiredTiles&&i&&e.setExpiryData(i),e.loadVectorData(i,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}i.request.collectResourceTiming=this._collectResourceTiming,e.actor&&"expired"!==e.state?"loading"===e.state?e.reloadCallback=r:e.request=e.actor.send("reloadTile",i,a.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send("loadTile",i,a.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send("abortTile",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send("removeTile",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),L=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.dispatcher=i,this.setEventedParent(a),this.type="raster",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme="xyz",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:"raster"},n),t.extend(this,t.pick(n,["url","scheme","tileSize"]))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event("dataloading",{dataType:"source"})),this._tileJSONRequest=M(this._options,this.map._requestManager,function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new S(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"metadata"})),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"content"})))})},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,i=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(i,t.ResourceType.Tile),function(i,a){if(delete e.request,e.aborted)e.state="unloaded",r(null);else if(i)e.state="errored",r(i);else if(a){n.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(a.width),e.texture?e.texture.update(a,{useMipmap:!0}):(e.texture=new t.Texture(o,a,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state="loaded",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}})},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),C=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),this.type="raster-dem",this.maxzoom=22,this._options=t.extend({type:"raster-dem"},n),this.encoding=n.encoding||"mapbox"}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.serialize=function(){return{type:"raster-dem",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);function i(t,n){t&&(e.state="errored",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state="loaded",r(null))}e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,a){if(delete e.request,e.aborted)e.state="unloaded",r(null);else if(n)e.state="errored",r(n);else if(a){this.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=t.window.ImageBitmap&&a instanceof t.window.ImageBitmap&&t.offscreenCanvasSupported()?a:t.browser.getImageData(a,1),s={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:o,encoding:this.encoding};e.actor&&"expired"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send("loadDEMTile",s,i.bind(this)))}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID)},r.prototype._getNeighboringTiles=function(e){var r=e.canonical,n=Math.pow(2,r.z),i=(r.x-1+n)%n,a=0===r.x?e.wrap-1:e.wrap,o=(r.x+1+n)%n,s=r.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state="unloaded",t.actor&&t.actor.send("removeDEMTile",{uid:t.uid,source:this.id})},r}(L),P=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.type="geojson",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=i.getActor(),this.setEventedParent(a),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution),this.promoteId=n.promoteId;var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1,generateId:n.generateId||!1},clusterProperties:n.clusterProperties},n.workerOptions)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event("dataloading",{dataType:"source"})),this._updateWorkerData(function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:"source",sourceDataType:"metadata"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event("data",n))}})},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event("dataloading",{dataType:"source"})),this._updateWorkerData(function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:"source",sourceDataType:"content"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event("data",n))}}),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send("geojson.getClusterExpansionZoom",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send("geojson.getClusterChildren",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send("geojson.getClusterLeaves",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;"string"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+".loadData",n,function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+".coalesce",{source:n.source},null),e(t))})},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?"reloadTile":"loadTile";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,"reloadTile"===i),r(null))})},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send("removeTile",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send("removeSource",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),O=t.createLayout([{name:"a_pos",type:"Int16",components:2},{name:"a_texture_pos",type:"Int16",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type="image",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event("dataloading",{dataType:"source"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())})},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,function(){e.texture=null}),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event("data",{dataType:"source",sourceDataType:"metadata"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.x),a=Math.max(a,l.y)}var u=i-r,c=a-n,f=Math.max(u,c),h=Math.max(0,Math.floor(-Math.log(f)/Math.LN2)),p=Math.pow(2,h);return new t.CanonicalTileID(h,Math.floor((r+i)/2*p),Math.floor((n+a)/2*p))}(n),this.minzoom=this.maxzoom=this.tileID.z;var i=n.map(function(t){return r.tileID.getTilePoint(t)._round()});return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(i[0].x,i[0].y,0,0),this._boundsArray.emplaceBack(i[1].x,i[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(i[3].x,i[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(i[2].x,i[2].y,t.EXTENT,t.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.Event("data",{dataType:"source",sourceDataType:"content"})),this},r.prototype.prepare=function(){if(0!==Object.keys(this.tiles).length&&this.image){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new t.Texture(e,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];"loaded"!==i.state&&(i.state="loaded",i.texture=this.texture)}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state="errored",e(null))},r.prototype.serialize=function(){return{type:"image",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return!1},r}(t.Evented);var D=function(e){function r(t,r,n,i){e.call(this,t,r,n,i),this.roundZoom=!0,this.type="video",this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1;var r=this.options;this.urls=[];for(var n=0,i=r.urls;n<i.length;n+=1){var a=i[n];this.urls.push(this.map._requestManager.transformRequest(a,t.ResourceType.Source).url)}t.getVideo(this.urls,function(r,n){e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(e.video=n,e.video.loop=!0,e.video.addEventListener("playing",function(){e.map.triggerRepaint()}),e.map&&e.video.play(),e._finishLoading())})},r.prototype.pause=function(){this.video&&this.video.pause()},r.prototype.play=function(){this.video&&this.video.play()},r.prototype.seek=function(e){if(this.video){var r=this.video.seekable;e<r.start(0)||e>r.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError("sources."+this.id,null,"Playback for this video can be set only between the "+r.start(0)+" and "+r.end(0)+"-second mark."))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];"loaded"!==i.state&&(i.state="loaded",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:"video",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),z=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some(function(t){return!Array.isArray(t)||2!==t.length||t.some(function(t){return"number"!=typeof t})})||this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'"coordinates" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'missing required property "coordinates"'))),n.animate&&"boolean"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'optional "animate" property must be a boolean value'))),n.canvas?"string"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'"canvas" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'missing required property "canvas"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error("Canvas dimensions cannot be less than or equal to zero."))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];"loaded"!==a.state&&(a.state="loaded",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:"canvas",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var r=e[t];if(isNaN(r)||r<=0)return!0}return!1},r}(I),R={vector:E,raster:L,"raster-dem":C,geojson:P,video:D,image:I,canvas:z};function F(e,r){var n=t.identity([]);return t.translate(n,n,[1,1,0]),t.scale(n,n,[.5*e.width,.5*e.height,1]),t.multiply(n,n,e.calculatePosMatrix(r.toUnwrapped()))}function B(t,e,r,n,i,a){var o=function(t,e,r){if(t)for(var n=0,i=t;n<i.length;n+=1){var a=e[i[n]];if(a&&a.source===r&&"fill-extrusion"===a.type)return!0}else for(var o in e){var s=e[o];if(s.source===r&&"fill-extrusion"===s.type)return!0}return!1}(i&&i.layers,e,t.id),s=a.maxPitchScaleFactor(),l=t.tilesIn(n,s,o);l.sort(N);for(var u=[],c=0,f=l;c<f.length;c+=1){var h=f[c];u.push({wrappedTileID:h.tileID.wrapped().key,queryResults:h.tile.queryRenderedFeatures(e,r,t._state,h.queryGeometry,h.cameraQueryGeometry,h.scale,i,a,s,F(t.transform,h.tileID))})}var p=function(t){for(var e={},r={},n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.queryResults,s=a.wrappedTileID,l=r[s]=r[s]||{};for(var u in o)for(var c=o[u],f=l[u]=l[u]||{},h=e[u]=e[u]||[],p=0,d=c;p<d.length;p+=1){var v=d[p];f[v.featureIndex]||(f[v.featureIndex]=!0,h.push(v))}}return e}(u);for(var d in p)p[d].forEach(function(e){var r=e.feature,n=t.getFeatureState(r.layer["source-layer"],r.id);r.source=r.layer.source,r.layer["source-layer"]&&(r.sourceLayer=r.layer["source-layer"]),r.state=n});return p}function N(t,e){var r=t.tileID,n=e.tileID;return r.overscaledZ-n.overscaledZ||r.canonical.y-n.canonical.y||r.wrap-n.wrap||r.canonical.x-n.canonical.x}var j=function(t,e){this.max=t,this.onRemove=e,this.reset()};j.prototype.reset=function(){for(var t in this.data)for(var e=0,r=this.data[t];e<r.length;e+=1){var n=r[e];n.timeout&&clearTimeout(n.timeout),this.onRemove(n.value)}return this.data={},this.order=[],this},j.prototype.add=function(t,e,r){var n=this,i=t.wrapped().key;void 0===this.data[i]&&(this.data[i]=[]);var a={value:e,timeout:void 0};if(void 0!==r&&(a.timeout=setTimeout(function(){n.remove(t,a)},r)),this.data[i].push(a),this.order.push(i),this.order.length>this.max){var o=this._getAndRemoveByKey(this.order[0]);o&&this.onRemove(o)}return this},j.prototype.has=function(t){return t.wrapped().key in this.data},j.prototype.getAndRemove=function(t){return this.has(t)?this._getAndRemoveByKey(t.wrapped().key):null},j.prototype._getAndRemoveByKey=function(t){var e=this.data[t].shift();return e.timeout&&clearTimeout(e.timeout),0===this.data[t].length&&delete this.data[t],this.order.splice(this.order.indexOf(t),1),e.value},j.prototype.getByKey=function(t){var e=this.data[t];return e?e[0].value:null},j.prototype.get=function(t){return this.has(t)?this.data[t.wrapped().key][0].value:null},j.prototype.remove=function(t,e){if(!this.has(t))return this;var r=t.wrapped().key,n=void 0===e?0:this.data[r].indexOf(e),i=this.data[r][n];return this.data[r].splice(n,1),i.timeout&&clearTimeout(i.timeout),0===this.data[r].length&&delete this.data[r],this.onRemove(i.value),this.order.splice(this.order.indexOf(r),1),this},j.prototype.setMaxSize=function(t){for(this.max=t;this.order.length>this.max;){var e=this._getAndRemoveByKey(this.order[0]);e&&this.onRemove(e)}return this},j.prototype.filter=function(t){var e=[];for(var r in this.data)for(var n=0,i=this.data[r];n<i.length;n+=1){var a=i[n];t(a.value)||e.push(a)}for(var o=0,s=e;o<s.length;o+=1){var l=s[o];this.remove(l.value.tileID,l)}};var U=function(t,e,r){this.context=t;var n=t.gl;this.buffer=n.createBuffer(),this.dynamicDraw=Boolean(r),this.context.unbindVAO(),t.bindElementBuffer.set(this.buffer),n.bufferData(n.ELEMENT_ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?n.DYNAMIC_DRAW:n.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer};U.prototype.bind=function(){this.context.bindElementBuffer.set(this.buffer)},U.prototype.updateData=function(t){var 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K(this),this.stencilOp=new $(this),this.stencilTest=new Q(this),this.depthRange=new tt(this),this.depthTest=new et(this),this.depthFunc=new rt(this),this.blend=new nt(this),this.blendFunc=new it(this),this.blendColor=new at(this),this.blendEquation=new ot(this),this.cullFace=new st(this),this.cullFaceSide=new lt(this),this.frontFace=new ut(this),this.program=new ct(this),this.activeTexture=new ft(this),this.viewport=new ht(this),this.bindFramebuffer=new pt(this),this.bindRenderbuffer=new dt(this),this.bindTexture=new vt(this),this.bindVertexBuffer=new gt(this),this.bindElementBuffer=new yt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new mt(this),this.pixelStoreUnpack=new xt(this),this.pixelStoreUnpackPremultiplyAlpha=new bt(this),this.pixelStoreUnpackFlipY=new _t(this),this.extTextureFilterAnisotropic=t.getExtension("EXT_texture_filter_anisotropic")||t.getExtension("MOZ_EXT_texture_filter_anisotropic")||t.getExtension("WEBKIT_EXT_texture_filter_anisotropic"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension("OES_texture_half_float"),this.extTextureHalfFloat&&(t.getExtension("OES_texture_half_float_linear"),this.extRenderToTextureHalfFloat=t.getExtension("EXT_color_buffer_half_float")),this.extTimerQuery=t.getExtension("EXT_disjoint_timer_query")};Pt.prototype.setDefault=function(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()},Pt.prototype.setDirty=function(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.extVertexArrayObject&&(this.bindVertexArrayOES.dirty=!0),this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0},Pt.prototype.createIndexBuffer=function(t,e){return new U(this,t,e)},Pt.prototype.createVertexBuffer=function(t,e,r){return new H(this,t,e,r)},Pt.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,i=n.createRenderbuffer();return this.bindRenderbuffer.set(i),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),i},Pt.prototype.createFramebuffer=function(t,e,r){return new kt(this,t,e,r)},Pt.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,i=0;e&&(i|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(i|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(i)},Pt.prototype.setCullFace=function(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))},Pt.prototype.setDepthMode=function(t){t.func!==this.gl.ALWAYS||t.mask?(this.depthTest.set(!0),this.depthFunc.set(t.func),this.depthMask.set(t.mask),this.depthRange.set(t.range)):this.depthTest.set(!1)},Pt.prototype.setStencilMode=function(t){t.test.func!==this.gl.ALWAYS||t.mask?(this.stencilTest.set(!0),this.stencilMask.set(t.mask),this.stencilOp.set([t.fail,t.depthFail,t.pass]),this.stencilFunc.set({func:t.test.func,ref:t.ref,mask:t.test.mask})):this.stencilTest.set(!1)},Pt.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,Lt.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Pt.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Ot=function(e){function r(r,n,i){var a=this;e.call(this),this.id=r,this.dispatcher=i,this.on("data",function(t){"source"===t.dataType&&"metadata"===t.sourceDataType&&(a._sourceLoaded=!0),a._sourceLoaded&&!a._paused&&"source"===t.dataType&&"content"===t.sourceDataType&&(a.reload(),a.transform&&a.update(a.transform))}),this.on("error",function(){a._sourceErrored=!0}),this._source=function(e,r,n,i){var a=new R[r.type](e,r,n,i);if(a.id!==e)throw new Error("Expected Source id to be "+e+" instead of "+a.id);return t.bindAll(["load","abort","unload","serialize","prepare"],a),a}(r,n,i,this),this._tiles={},this._cache=new j(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;for(var t in this._tiles){var e=this._tiles[t];if("loaded"!==e.state&&"errored"!==e.state)return!1}return!0},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=!0},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,function(){})},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,function(){})},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}},r.prototype.getIds=function(){return t.values(this._tiles).map(function(t){return t.tileID}).sort(It).map(function(t){return t.key})},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var i in this._tiles)this._isIdRenderable(i,e)&&n.push(this._tiles[i]);return e?n.sort(function(e,n){var i=e.tileID,a=n.tileID,o=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle),s=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle);return i.overscaledZ-a.overscaledZ||s.y-o.y||s.x-o.x}).map(function(t){return t.tileID.key}):n.map(function(t){return t.tileID}).sort(It).map(function(t){return t.key})},r.prototype.hasRenderableParent=function(t){var e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)},r.prototype._isIdRenderable=function(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())},r.prototype.reload=function(){if(this._paused)this._shouldReloadOnResume=!0;else for(var t in this._cache.reset(),this._tiles)"errored"!==this._tiles[t].state&&this._reloadTile(t,"reloading")},r.prototype._reloadTile=function(t,e){var r=this._tiles[t];r&&("loading"!==r.state&&(r.state=e),this._loadTile(r,this._tileLoaded.bind(this,r,t,e)))},r.prototype._tileLoaded=function(e,r,n,i){if(i)return e.state="errored",void(404!==i.status?this._source.fire(new t.ErrorEvent(i,{tile:e})):this.update(this.transform));e.timeAdded=t.browser.now(),"expired"===n&&(e.refreshedUponExpiration=!0),this._setTileReloadTimer(r,e),"raster-dem"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._state.initializeTileState(e,this.map?this.map.painter:null),this._source.fire(new t.Event("data",{dataType:"source",tile:e,coord:e.tileID}))},r.prototype._backfillDEM=function(t){for(var e=this.getRenderableIds(),r=0;r<e.length;r++){var n=e[r];if(t.neighboringTiles&&t.neighboringTiles[n]){var i=this.getTileByID(n);a(t,i),a(i,t)}}function a(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,i=Math.pow(2,t.tileID.canonical.z),a=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n="number"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map(function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)}):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter(function(t){return n._source.hasTile(t)}))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(Dt(this._source.type)){for(var u={},c={},f=0,h=Object.keys(l);f<h.length;f+=1){var p=h[f],d=l[p],v=this._tiles[p];if(v&&!(v.fadeEndTime&&v.fadeEndTime<=t.browser.now())){var g=this.findLoadedParent(d,o);g&&(this._addTile(g.tileID),u[g.tileID.key]=g.tileID),c[p]=d}}for(var y in this._retainLoadedChildren(c,a,s,l),u)l[y]||(this._coveredTiles[y]=!0,l[y]=u[y])}for(var m in l)this._tiles[m].clearFadeHold();for(var x=0,b=t.keysDifference(this._tiles,l);x<b.length;x+=1){var _=b[x],w=this._tiles[_];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(_)}this._updateLoadedParentTileCache()}},r.prototype.releaseSymbolFadeTiles=function(){for(var t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)},r.prototype._updateRetainedTiles=function(t,e){for(var n={},i={},a=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,u=t;l<u.length;l+=1){var c=u[l],f=this._addTile(c);n[c.key]=c,f.hasData()||e<this._source.maxzoom&&(s[c.key]=c)}this._retainLoadedChildren(s,e,o,n);for(var h=0,p=t;h<p.length;h+=1){var d=p[h],v=this._tiles[d.key];if(!v.hasData()){if(e+1>this._source.maxzoom){var g=d.children(this._source.maxzoom)[0],y=this.getTile(g);if(y&&y.hasData()){n[g.key]=g;continue}}else{var m=d.children(this._source.maxzoom);if(n[m[0].key]&&n[m[1].key]&&n[m[2].key]&&n[m[3].key])continue}for(var x=v.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(v=this.getTile(_))&&x&&(v=this._addTile(_)),v&&(n[_.key]=_,x=v.wasRequested(),v.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a<o.length;a+=1){var s=o[a];this._loadedParentTiles[s]=r}}},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event("dataloading",{tile:r,coord:r.tileID,dataType:"source"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout(function(){r._reloadTile(t,"expired"),delete r._timers[t]},n))},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&"reloading"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map(function(t){return o.pointCoordinate(t)}),u=s.map(function(t){return o.pointCoordinate(t)}),c=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,v=0,g=u;v<g.length;v+=1){var y=g[v];f=Math.min(f,y.x),h=Math.min(h,y.y),p=Math.max(p,y.x),d=Math.max(d,y.y)}for(var m=function(e){var n=i._tiles[c[e]];if(!n.holdingForFade()){var s=n.tileID,v=Math.pow(2,o.zoom-n.tileID.overscaledZ),g=r*n.queryPadding*t.EXTENT/n.tileSize/v,y=[s.getTilePoint(new t.MercatorCoordinate(f,h)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(y[0].x-g<t.EXTENT&&y[0].y-g<t.EXTENT&&y[1].x+g>=0&&y[1].y+g>=0){var m=l.map(function(t){return s.getTilePoint(t)}),x=u.map(function(t){return s.getTilePoint(t)});a.push({tile:n,tileID:s,queryGeometry:m,cameraQueryGeometry:x,scale:v})}}},x=0;x<c.length;x++)m(x);return a},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map(function(t){return e._tiles[t].tileID}),n=0,i=r;n<i.length;n+=1){var a=i[n];a.posMatrix=this.transform.calculatePosMatrix(a.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(Dt(this._source.type))for(var e in this._tiles){var r=this._tiles[e];if(void 0!==r.fadeEndTime&&r.fadeEndTime>=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||"_geojsonTileLayer",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||"_geojsonTileLayer",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||"_geojsonTileLayer",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles)this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,"reloading");this._cache.filter(function(r){return!r.hasDependency(t,e)})},r}(t.Evented);function It(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function Dt(t){return"raster"===t||"image"===t||"video"===t}function zt(){return new t.window.Worker(ea.workerUrl)}Ot.maxOverzooming=10,Ot.maxUnderzooming=3;var Rt="mapboxgl_preloaded_worker_pool",Ft=function(){this.active={}};Ft.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Ft.workerCount;)this.workers.push(new zt);return this.active[t]=!0,this.workers.slice()},Ft.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach(function(t){t.terminate()}),this.workers=null)},Ft.prototype.isPreloaded=function(){return!!this.active[Rt]},Ft.prototype.numActive=function(){return Object.keys(this.active).length};var Bt,Nt=Math.floor(t.browser.hardwareConcurrency/2);function jt(){return Bt||(Bt=new Ft),Bt}function Ut(e,r){var n={};for(var i in e)"ref"!==i&&(n[i]=e[i]);return t.refProperties.forEach(function(t){t in r&&(n[t]=r[t])}),n}function Vt(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)"ref"in t[n]&&(t[n]=Ut(t[n],e[t[n].ref]));return t}Ft.workerCount=Math.max(Math.min(Nt,6),1);var Ht={setStyle:"setStyle",addLayer:"addLayer",removeLayer:"removeLayer",setPaintProperty:"setPaintProperty",setLayoutProperty:"setLayoutProperty",setFilter:"setFilter",addSource:"addSource",removeSource:"removeSource",setGeoJSONSourceData:"setGeoJSONSourceData",setLayerZoomRange:"setLayerZoomRange",setLayerProperty:"setLayerProperty",setCenter:"setCenter",setZoom:"setZoom",setBearing:"setBearing",setPitch:"setPitch",setSprite:"setSprite",setGlyphs:"setGlyphs",setTransition:"setTransition",setLight:"setLight"};function qt(t,e,r){r.push({command:Ht.addSource,args:[t,e[t]]})}function Gt(t,e,r){e.push({command:Ht.removeSource,args:[t]}),r[t]=!0}function Yt(t,e,r,n){Gt(t,r,n),qt(t,e,r)}function Wt(e,r,n){var i;for(i in e[n])if(e[n].hasOwnProperty(i)&&"data"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;for(i in r[n])if(r[n].hasOwnProperty(i)&&"data"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;return!0}function Zt(e,r,n,i,a,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}))}function Xt(t){return t.id}function Jt(t,e){return t[e.id]=e,t}function Kt(e,r){if(!e)return[{command:Ht.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:Ht.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:Ht.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:Ht.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:Ht.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:Ht.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:Ht.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:Ht.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:Ht.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:Ht.setLight,args:[r.light]});var i={},a=[];!function(e,r,n,i){var a;for(a in r=r||{},e=e||{})e.hasOwnProperty(a)&&(r.hasOwnProperty(a)||Gt(a,n,i));for(a in r)r.hasOwnProperty(a)&&(e.hasOwnProperty(a)?t.deepEqual(e[a],r[a])||("geojson"===e[a].type&&"geojson"===r[a].type&&Wt(e,r,a)?n.push({command:Ht.setGeoJSONSourceData,args:[a,r[a].data]}):Yt(a,r,n,i)):qt(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach(function(t){i[t.source]?n.push({command:Ht.removeLayer,args:[t.id]}):o.push(t)}),n=n.concat(a),function(e,r,n){r=r||[];var i,a,o,s,l,u,c,f=(e=e||[]).map(Xt),h=r.map(Xt),p=e.reduce(Jt,{}),d=r.reduce(Jt,{}),v=f.slice(),g=Object.create(null);for(i=0,a=0;i<f.length;i++)o=f[i],d.hasOwnProperty(o)?a++:(n.push({command:Ht.removeLayer,args:[o]}),v.splice(v.indexOf(o,a),1));for(i=0,a=0;i<h.length;i++)o=h[h.length-1-i],v[v.length-1-i]!==o&&(p.hasOwnProperty(o)?(n.push({command:Ht.removeLayer,args:[o]}),v.splice(v.lastIndexOf(o,v.length-a),1)):a++,u=v[v.length-i],n.push({command:Ht.addLayer,args:[d[o],u]}),v.splice(v.length-i,0,o),g[o]=!0);for(i=0;i<h.length;i++)if(s=p[o=h[i]],l=d[o],!g[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s["source-layer"],l["source-layer"])&&t.deepEqual(s.type,l.type)){for(c in Zt(s.layout,l.layout,n,o,null,Ht.setLayoutProperty),Zt(s.paint,l.paint,n,o,null,Ht.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:Ht.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:Ht.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(c)&&"layout"!==c&&"paint"!==c&&"filter"!==c&&"metadata"!==c&&"minzoom"!==c&&"maxzoom"!==c&&(0===c.indexOf("paint.")?Zt(s[c],l[c],n,o,c.slice(6),Ht.setPaintProperty):t.deepEqual(s[c],l[c])||n.push({command:Ht.setLayerProperty,args:[o,c,l[c]]}));for(c in l)l.hasOwnProperty(c)&&!s.hasOwnProperty(c)&&"layout"!==c&&"paint"!==c&&"filter"!==c&&"metadata"!==c&&"minzoom"!==c&&"maxzoom"!==c&&(0===c.indexOf("paint.")?Zt(s[c],l[c],n,o,c.slice(6),Ht.setPaintProperty):t.deepEqual(s[c],l[c])||n.push({command:Ht.setLayerProperty,args:[o,c,l[c]]}))}else n.push({command:Ht.removeLayer,args:[o]}),u=v[v.lastIndexOf(o)+1],n.push({command:Ht.addLayer,args:[l,u]})}(o,r.layers,n)}catch(t){console.warn("Unable to compute style diff:",t),n=[{command:Ht.setStyle,args:[r]}]}return n}var $t=function(t,e){this.reset(t,e)};$t.prototype.reset=function(t,e){this.points=t||[],this._distances=[0];for(var r=1;r<this.points.length;r++)this._distances[r]=this._distances[r-1]+this.points[r].dist(this.points[r-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(e||0,.5*this.length),this.paddedLength=this.length-2*this.padding},$t.prototype.lerp=function(e){if(1===this.points.length)return this.points[0];e=t.clamp(e,0,1);for(var r=1,n=this._distances[r],i=e*this.paddedLength+this.padding;n<i&&r<this._distances.length;)n=this._distances[++r];var a=r-1,o=this._distances[a],s=n-o,l=s>0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Qt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a<this.xCellCount*this.yCellCount;a++)n.push([]),i.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function te(e,r,n,i,a){var o=t.create();return r?(t.scale(o,o,[1/a,1/a,1]),n||t.rotateZ(o,o,i.angle)):t.multiply(o,i.labelPlaneMatrix,e),o}function ee(e,r,n,i,a){if(r){var o=t.clone(e);return t.scale(o,o,[a,a,1]),n||t.rotateZ(o,o,-i.angle),o}return i.glCoordMatrix}function re(e,r){var n=[e.x,e.y,0,1];pe(n,n,r);var i=n[3];return{point:new t.Point(n[0]/i,n[1]/i),signedDistanceFromCamera:i}}function ne(t,e){return.5+t/e*.5}function ie(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ae(e,r,n,i,a,o,s,l){var u=i?e.textSizeData:e.iconSizeData,c=t.evaluateSizeForZoom(u,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,v=n.transform.width/n.transform.height,g=!1,y=0;y<d.length;y++){var m=d.get(y);if(m.hidden||m.writingMode===t.WritingMode.vertical&&!g)he(m.numGlyphs,h);else{g=!1;var x=[m.anchorX,m.anchorY,0,1];if(t.transformMat4(x,x,r),ie(x,f)){var b=x[3],_=ne(n.transform.cameraToCenterDistance,b),w=t.evaluateSizeForFeature(u,c,m),T=s?w/_:w*_,A=new t.Point(m.anchorX,m.anchorY),k=re(A,a).point,M={},S=le(m,T,!1,l,r,a,o,e.glyphOffsetArray,p,h,k,A,M,v);g=S.useVertical,(S.notEnoughRoom||g||S.needsFlipping&&le(m,T,!0,l,r,a,o,e.glyphOffsetArray,p,h,k,A,M,v).notEnoughRoom)&&he(m.numGlyphs,h)}else he(m.numGlyphs,h)}}i?e.text.dynamicLayoutVertexBuffer.updateData(h):e.icon.dynamicLayoutVertexBuffer.updateData(h)}function oe(t,e,r,n,i,a,o,s,l,u,c){var f=s.glyphStartIndex+s.numGlyphs,h=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),v=e.getoffsetX(f-1),g=ce(t*d,r,n,i,a,o,s.segment,h,p,l,u,c);if(!g)return null;var y=ce(t*v,r,n,i,a,o,s.segment,h,p,l,u,c);return y?{first:g,last:y}:null}function se(e,r,n,i){return e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*i?{useVertical:!0}:(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function le(e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=r/24,y=e.lineOffsetX*g,m=e.lineOffsetY*g;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=oe(g,l,y,m,n,f,h,e,u,o,p);if(!w)return{notEnoughRoom:!0};var T=re(w.first.point,s).point,A=re(w.last.point,s).point;if(i&&!n){var k=se(e.writingMode,T,A,d);if(k)return k}v=[w.first];for(var M=e.glyphStartIndex+1;M<x-1;M++)v.push(ce(g*l.getoffsetX(M),y,m,n,f,h,e.segment,b,_,u,o,p));v.push(w.last)}else{if(i&&!n){var S=re(h,a).point,E=e.lineStartIndex+e.segment+1,L=new t.Point(u.getx(E),u.gety(E)),C=re(L,a),P=C.signedDistanceFromCamera>0?C.point:ue(h,L,S,1,a),O=se(e.writingMode,S,P,d);if(O)return O}var I=ce(g*l.getoffsetX(e.glyphStartIndex),y,m,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,u,o,p);if(!I)return{notEnoughRoom:!0};v=[I]}for(var D=0,z=v;D<z.length;D+=1){var R=z[D];t.addDynamicAttributes(c,R.point,R.angle)}return{}}function ue(t,e,r,n,i){var a=re(t.add(t.sub(e)._unit()),i).point,o=r.sub(a);return r.add(o._mult(n/o.mag()))}function ce(e,r,n,i,a,o,s,l,u,c,f,h){var p=i?e-r:e+r,d=p>0?1:-1,v=0;i&&(d*=-1,v=Math.PI),d<0&&(v+=Math.PI);for(var g=d>0?l+s:l+s+1,y=a,m=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((g+=d)<l||g>=u)return null;if(m=y,w.push(y),void 0===(y=h[g])){var T=new t.Point(c.getx(g),c.gety(g)),A=re(T,f);if(A.signedDistanceFromCamera>0)y=h[g]=A.point;else{var k=g-d;y=ue(0===x?o:new t.Point(c.getx(k),c.gety(k)),T,m,_-x+1,f)}}x+=b,b=m.dist(y)}var M=(_-x)/b,S=y.sub(m),E=S.mult(M)._add(m);E._add(S._unit()._perp()._mult(n*d));var L=v+Math.atan2(y.y-m.y,y.x-m.x);return w.push(E),{point:E,angle:L,path:w}}Qt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Qt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Qt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Qt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Qt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Qt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var u=this.circles[3*l],c=this.circles[3*l+1],f=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:u-f,y1:c-f,x2:u+f,y2:c+f})}return a?o.filter(a):o}var h={hitTest:i,seenUids:{box:{},circle:{}}};return this._forEachCell(t,e,r,n,this._queryCell,o,h,a),i?o.length>0:o},Qt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var u=[],c={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,u,c,i),n?u.length>0:u},Qt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Qt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Qt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Qt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,u=this.boxCells[i];if(null!==u)for(var c=this.bboxes,f=0,h=u;f<h.length;f+=1){var p=h[f];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=c[d+2]&&e<=c[d+3]&&r>=c[d+0]&&n>=c[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:c[d],y1:c[d+1],x2:c[d+2],y2:c[d+3]})}}}var v=this.circleCells[i];if(null!==v)for(var g=this.circles,y=0,m=v;y<m.length;y+=1){var x=m[y];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(g[b],g[b+1],g[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return a.push(!0),!0;var _=g[b],w=g[b+1],T=g[b+2];a.push({key:this.circleKeys[x],x1:_-T,y1:w-T,x2:_+T,y2:w+T})}}}},Qt.prototype._queryCellCircle=function(t,e,r,n,i,a,o,s){var l=o.circle,u=o.seenUids,c=this.boxCells[i];if(null!==c)for(var f=this.bboxes,h=0,p=c;h<p.length;h+=1){var d=p[h];if(!u.box[d]){u.box[d]=!0;var v=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,f[v+0],f[v+1],f[v+2],f[v+3])&&(!s||s(this.boxKeys[d])))return a.push(!0),!0}}var g=this.circleCells[i];if(null!==g)for(var y=this.circles,m=0,x=g;m<x.length;m+=1){var b=x[m];if(!u.circle[b]){u.circle[b]=!0;var _=3*b;if(this._circlesCollide(y[_],y[_+1],y[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return a.push(!0),!0}}},Qt.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToXCellCoord(t),u=this._convertToYCellCoord(e),c=this._convertToXCellCoord(r),f=this._convertToYCellCoord(n),h=l;h<=c;h++)for(var p=u;p<=f;p++){var d=this.xCellCount*p+h;if(i.call(this,t,e,r,n,d,a,o,s))return}},Qt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Qt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Qt.prototype._circlesCollide=function(t,e,r,n,i,a){var o=n-t,s=i-e,l=r+a;return l*l>o*o+s*s},Qt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var u=(o-i)/2,c=Math.abs(e-(i+u));if(c>u+r)return!1;if(l<=s||c<=u)return!0;var f=l-s,h=c-u;return f*f+h*h<=r*r};var fe=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function he(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(fe,3*n)}}function pe(t,e,r){var n=e[0],i=e[1];return t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t[3]=r[3]*n+r[7]*i+r[15],t}var de=100,ve=function(t,e,r){void 0===e&&(e=new Qt(t.width+200,t.height+200,25)),void 0===r&&(r=new Qt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+de,this.screenBottomBoundary=t.height+de,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function ge(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}ve.prototype.placeCollisionBox=function(t,e,r,n,i){var a=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*a.perspectiveRatio,s=t.x1*o+a.point.x,l=t.y1*o+a.point.y,u=t.x2*o+a.point.x,c=t.y2*o+a.point.y;return!this.isInsideGrid(s,l,u,c)||!e&&this.grid.hitTest(s,l,u,c,i)?{box:[],offscreen:!1}:{box:[s,l,u,c],offscreen:this.isOffscreen(s,l,u,c)}},ve.prototype.placeCollisionCircles=function(e,r,n,i,a,o,s,l,u,c,f,h,p){var d=[],v=new t.Point(r.anchorX,r.anchorY),g=re(v,o),y=ne(this.transform.cameraToCenterDistance,g.signedDistanceFromCamera),m=(c?a/y:a*y)/t.ONE_EM,x=re(v,s).point,b=oe(m,i,r.lineOffsetX*m,r.lineOffsetY*m,!1,x,v,r,n,s,{}),_=!1,w=!1,T=!0;if(b){for(var A=.5*h*y+p,k=new t.Point(-100,-100),M=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new $t,E=b.first,L=b.last,C=[],P=E.path.length-1;P>=1;P--)C.push(E.path[P]);for(var O=1;O<L.path.length;O++)C.push(L.path[O]);var I=2.5*A;if(l){var D=C.map(function(t){return re(t,l)});C=D.some(function(t){return t.signedDistanceFromCamera<=0})?[]:D.map(function(t){return t.point})}var z=[];if(C.length>0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B<C.length;B++)R.x=Math.min(R.x,C[B].x),R.y=Math.min(R.y,C[B].y),F.x=Math.max(F.x,C[B].x),F.y=Math.max(F.y,C[B].y);z=R.x>=k.x&&F.x<=M.x&&R.y>=k.y&&F.y<=M.y?[C]:F.x<k.x||R.x>M.x||F.y<k.y||R.y>M.y?[]:t.clipLine([C],k.x,k.y,M.x,M.y)}for(var N=0,j=z;N<j.length;N+=1){var U=j[N];S.reset(U,.25*A);var V;V=S.length<=.5*A?1:Math.ceil(S.paddedLength/I)+1;for(var H=0;H<V;H++){var q=H/Math.max(V-1,1),G=S.lerp(q),Y=G.x+de,W=G.y+de;d.push(Y,W,A,0);var Z=Y-A,X=W-A,J=Y+A,K=W+A;if(T=T&&this.isOffscreen(Z,X,J,K),w=w||this.isInsideGrid(Z,X,J,K),!e&&this.grid.hitTestCircle(Y,W,A,f)&&(_=!0,!u))return{circles:[],offscreen:!1,collisionDetected:_}}}}return{circles:!u&&_||!w?[]:d,offscreen:T,collisionDetected:_}},ve.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,i=1/0,a=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var u=l[s],c=new t.Point(u.x+de,u.y+de);n=Math.min(n,c.x),i=Math.min(i,c.y),a=Math.max(a,c.x),o=Math.max(o,c.y),r.push(c)}for(var f={},h={},p=0,d=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o));p<d.length;p+=1){var v=d[p],g=v.key;if(void 0===f[g.bucketInstanceId]&&(f[g.bucketInstanceId]={}),!f[g.bucketInstanceId][g.featureIndex]){var y=[new t.Point(v.x1,v.y1),new t.Point(v.x2,v.y1),new t.Point(v.x2,v.y2),new t.Point(v.x1,v.y2)];t.polygonIntersectsPolygon(r,y)&&(f[g.bucketInstanceId][g.featureIndex]=!0,void 0===h[g.bucketInstanceId]&&(h[g.bucketInstanceId]=[]),h[g.bucketInstanceId].push(g.featureIndex))}}return h},ve.prototype.insertCollisionBox=function(t,e,r,n,i){var a={bucketInstanceId:r,featureIndex:n,collisionGroupID:i};(e?this.ignoredGrid:this.grid).insert(a,t[0],t[1],t[2],t[3])},ve.prototype.insertCollisionCircles=function(t,e,r,n,i){for(var a=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:i},s=0;s<t.length;s+=4)a.insertCircle(o,t[s],t[s+1],t[s+2])},ve.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var i=[r,n,0,1];return pe(i,i,e),{point:new t.Point((i[0]/i[3]+1)/2*this.transform.width+de,(-i[1]/i[3]+1)/2*this.transform.height+de),perspectiveRatio:.5+this.transform.cameraToCenterDistance/i[3]*.5}},ve.prototype.isOffscreen=function(t,e,r,n){return r<de||t>=this.screenRightBoundary||n<de||e>this.screenBottomBoundary},ve.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},ve.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var ye=function(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r};ye.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var me=function(t,e,r,n,i){this.text=new ye(t?t.text:null,e,r,i),this.icon=new ye(t?t.icon:null,e,n,i)};me.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var xe=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},be=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},_e=function(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i},we=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function Te(e,r,n,i,a){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,i);return new t.Point(s+u[0]*a,l+u[1]*a)}function Ae(e,r,n,i,a,o){var s=e.x1,l=e.x2,u=e.y1,c=e.y2,f=e.anchorPointX,h=e.anchorPointY,p=new t.Point(r,n);return i&&p._rotate(a?o:-o),{x1:s+p.x,y1:u+p.y,x2:l+p.x,y2:c+p.y,anchorPointX:f,anchorPointY:h}}we.prototype.get=function(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){var e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:function(t){return t.collisionGroupID===e}}}return this.collisionGroups[t]};var ke=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new ve(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new we(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function Me(t,e,r,n,i){t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0)}ke.prototype.getBucketParts=function(e,r,n,i){var a=n.getBucket(r),o=n.latestFeatureIndex;if(a&&o&&r.id===a.layerIds[0]){var s=n.collisionBoxArray,l=a.layers[0].layout,u=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),c=n.tileSize/t.EXTENT,f=this.transform.calculatePosMatrix(n.tileID.toUnwrapped()),h="map"===l.get("text-pitch-alignment"),p="map"===l.get("text-rotation-alignment"),d=ge(n,1,this.transform.zoom),v=te(f,h,p,this.transform,d),g=null;if(h){var y=ee(f,h,p,this.transform,d);g=t.multiply([],this.transform.labelPlaneMatrix,y)}this.retainedQueryData[a.bucketInstanceId]=new _e(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);var m={bucket:a,layout:l,posMatrix:f,textLabelPlaneMatrix:v,labelToScreenMatrix:g,scale:u,textPixelRatio:c,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(var x=0,b=a.sortKeyRanges;x<b.length;x+=1){var _=b[x],w=_.sortKey,T=_.symbolInstanceStart,A=_.symbolInstanceEnd;e.push({sortKey:w,symbolInstanceStart:T,symbolInstanceEnd:A,parameters:m})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:m})}},ke.prototype.attemptAnchorPlacement=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=[f.textOffset0,f.textOffset1],y=Te(t,r,n,g,i),m=this.collisionIndex.placeCollisionBox(Ae(e,y.x,y.y,a,o,this.transform.angle),c,s,l,u.predicate);if(!d||0!==this.collisionIndex.placeCollisionBox(Ae(d,y.x,y.y,a,o,this.transform.angle),c,s,l,u.predicate).box.length)return m.box.length>0?(this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(v=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:g,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:v},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:y,placedGlyphBoxes:m}):void 0},ke.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,u=a.textLabelPlaneMatrix,c=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,v=a.collisionGroup,g=s.get("text-optional"),y=s.get("icon-optional"),m=s.get("text-allow-overlap"),x=s.get("icon-allow-overlap"),b="map"===s.get("text-rotation-alignment"),_="map"===s.get("text-pitch-alignment"),w="none"!==s.get("icon-text-fit"),T="viewport-y"===s.get("symbol-z-order"),A=m&&(x||!o.hasIconData()||y),k=x&&(m||!o.hasTextData()||g);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new xe(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,L={box:null,offscreen:null},C={box:null,offscreen:null},P=null,O=null,I=0,D=0,z=0;a.textFeatureIndex?I=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(I=e.featureIndex),a.verticalTextFeatureIndex&&(D=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i<s.length&&(s[i]===t.WritingMode.vertical?(L=n(),C=L):L=r(),!(L&&L.box&&L.box.length));i+=1);else L=r()};if(s.get("text-variable-anchor")){var N=s.get("text-variable-anchor");if(i.prevPlacement&&i.prevPlacement.variableOffsets[e.crossTileID]){var j=i.prevPlacement.variableOffsets[e.crossTileID];N.indexOf(j.anchor)>0&&(N=N.filter(function(t){return t!==j.anchor})).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,u=e.textBoxScale,c=w&&!x?r:null,h={box:[],offscreen:!1},p=m?2*N.length:N.length,d=0;d<p;++d){var g=N[d%N.length],y=d>=N.length,A=i.attemptAnchorPlacement(g,t,a,s,u,b,_,f,l,v,y,e,o,n,c);if(A&&(h=A.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=A.shift;break}}return h};B(function(){return U(R,a.iconBox,t.WritingMode.horizontal)},function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}}),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var H=i.prevPlacement.variableOffsets[e.crossTileID];H&&(i.variableOffsets[e.crossTileID]=H,i.markUsedJustification(o,H.anchor,e,V))}}else{var q=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,m,f,l,v.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B(function(){return q(R,t.WritingMode.horizontal)},function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?q(r,t.WritingMode.vertical):{box:null,offscreen:null}}),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),Y=t.evaluateSizeForFeature(o.textSizeData,d,G),W=s.get("text-padding"),Z=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(m,G,o.lineVertexArray,o.glyphOffsetArray,Y,l,u,c,n,_,v.predicate,Z,W),T=m||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(z=a.iconFeatureIndex),a.iconBox){var X=function(t){var e=w&&E?Ae(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,v.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(O=X(a.verticalIconBox)).box.length>0:(O=X(a.iconBox)).box.length>0,S=S&&O.offscreen}var J=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,K=y||0===e.numIconVertices;if(J||K?K?J||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(C&&C.box&&D?i.collisionIndex.insertCollisionBox(p.box,s.get("text-ignore-placement"),o.bucketInstanceId,D,v.ID):i.collisionIndex.insertCollisionBox(p.box,s.get("text-ignore-placement"),o.bucketInstanceId,I,v.ID)),M&&O&&i.collisionIndex.insertCollisionBox(O.box,s.get("icon-ignore-placement"),o.bucketInstanceId,z,v.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get("text-ignore-placement"),o.bucketInstanceId,I,v.ID),n)){var $=o.bucketInstanceId,Q=i.collisionCircleArrays[$];void 0===Q&&(Q=i.collisionCircleArrays[$]=new be);for(var tt=0;tt<P.circles.length;tt+=4)Q.circles.push(P.circles[tt+0]),Q.circles.push(P.circles[tt+1]),Q.circles.push(P.circles[tt+2]),Q.circles.push(P.collisionDetected?1:0)}i.placements[e.crossTileID]=new xe(T||A,M||k,S||o.justReloaded),r[e.crossTileID]=!0}};if(T)for(var S=o.getSortedSymbolIndexes(this.transform.angle),E=S.length-1;E>=0;--E){var L=S[E];M(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C<e.symbolInstanceEnd;C++)M(o.symbolInstances.get(C),o.collisionArrays[C]);if(n&&o.bucketInstanceId in this.collisionCircleArrays){var P=this.collisionCircleArrays[o.bucketInstanceId];t.invert(P.invProjMatrix,l),P.viewportMatrix=this.collisionIndex.getViewportMatrix()}o.justReloaded=!1},ke.prototype.markUsedJustification=function(e,r,n,i){var a,o={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};a=i===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:o[t.getAnchorJustification(r)];for(var s=0,l=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];s<l.length;s+=1){var u=l[s];u>=0&&(e.text.placedSymbolArray.get(u).crossTileID=a>=0&&u!==a?0:n.crossTileID)}},ke.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1){var l=s[o];e.text.placedSymbolArray.get(l).placedOrientation=i}n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=a)},ke.prototype.commit=function(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;var e=this.prevPlacement,r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;var n=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],u=i[s];u?(this.opacities[s]=new me(u,n,l.text,l.icon),r=r||l.text!==u.text.placed||l.icon!==u.icon.placed):(this.opacities[s]=new me(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var c in i){var f=i[c];if(!this.opacities[c]){var h=new me(f,n,!1,!1);h.isHidden()||(this.opacities[c]=h,r=r||f.text.placed||f.icon.placed)}}for(var p in a)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=a[p]);for(var d in o)this.placedOrientations[d]||!this.opacities[d]||this.opacities[d].isHidden()||(this.placedOrientations[d]=o[d]);r?this.lastPlacementChangeTime=t:"number"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)},ke.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){var a=i[n],o=a.getBucket(t);o&&a.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,a.collisionBoxArray)}},ke.prototype.updateBucketOpacities=function(e,r,n){var i=this;e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexArray.clear(),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexArray.clear();var a=e.layers[0].layout,o=new me(null,0,!1,!1,!0),s=a.get("text-allow-overlap"),l=a.get("icon-allow-overlap"),u=a.get("text-variable-anchor"),c="map"===a.get("text-rotation-alignment"),f="map"===a.get("text-pitch-alignment"),h="none"!==a.get("icon-text-fit"),p=new me(null,0,s&&(l||!e.hasIconData()||a.get("icon-optional")),l&&(s||!e.hasTextData()||a.get("text-optional")),!0);!e.collisionArrays&&n&&(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData())&&e.deserializeCollisionBoxes(n);for(var d=function(t,e,r){for(var n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r)},v=function(n){var a=e.symbolInstances.get(n),s=a.numHorizontalGlyphVertices,l=a.numVerticalGlyphVertices,v=a.crossTileID,g=r[v],y=i.opacities[v];g?y=o:y||(y=p,i.opacities[v]=y),r[v]=!0;var m=s>0||l>0,x=a.numIconVertices>0,b=i.placedOrientations[a.crossTileID],_=b===t.WritingMode.vertical,w=b===t.WritingMode.horizontal||b===t.WritingMode.horizontalOnly;if(m){var T=De(y.text),A=_?ze:T;d(e.text,s,A);var k=w?ze:T;d(e.text,l,k);var M=y.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach(function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||_?1:0)}),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=M||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,b);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,"left",a,E),i.markUsedOrientation(e,E,a))}if(x){var L=De(y.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:ze;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=y.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var O=C?ze:L;d(e.icon,a.numVerticalIconVertices,O),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=y.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var I=e.collisionArrays[n];if(I){var D=new t.Point(0,0);if(I.textBox||I.verticalTextBox){var z=!0;if(u){var R=i.variableOffsets[v];R?(D=Te(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),c&&D._rotate(f?i.transform.angle:-i.transform.angle)):z=!1}I.textBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||_,D.x,D.y),I.verticalTextBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||w,D.x,D.y)}var F=Boolean(!w&&I.verticalIconBox);I.iconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,F,h?D.x:0,h?D.y:0),I.verticalIconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,!F,h?D.x:0,h?D.y:0)}}},g=0;g<e.symbolInstances.length;g++)v(g);if(e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexBuffer&&e.iconCollisionBox.collisionVertexBuffer.updateData(e.iconCollisionBox.collisionVertexArray),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexBuffer&&e.textCollisionBox.collisionVertexBuffer.updateData(e.textCollisionBox.collisionVertexArray),e.bucketInstanceId in this.collisionCircleArrays){var y=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=y.invProjMatrix,e.placementViewportMatrix=y.viewportMatrix,e.collisionCircleArray=y.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},ke.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},ke.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},ke.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},ke.prototype.stillRecent=function(t,e){var r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t},ke.prototype.setStale=function(){this.stale=!0};var Se=Math.pow(2,25),Ee=Math.pow(2,24),Le=Math.pow(2,17),Ce=Math.pow(2,16),Pe=Math.pow(2,9),Oe=Math.pow(2,8),Ie=Math.pow(2,1);function De(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*Se+e*Ee+r*Le+e*Ce+r*Pe+e*Oe+r*Ie+e}var ze=0,Re=function(t){this._sortAcrossTiles="viewport-y"!==t.layout.get("symbol-z-order")&&void 0!==t.layout.get("symbol-sort-key").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Re.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex<t.length;){var o=t[this._currentTileIndex];if(e.getBucketParts(a,n,o,this._sortAcrossTiles),this._currentTileIndex++,i())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,a.sort(function(t,e){return t.sortKey-e.sortKey}));this._currentPartIndex<a.length;){var s=a[this._currentPartIndex];if(e.placeLayerBucketPart(s,this._seenCrossTileIDs,r),this._currentPartIndex++,i())return!0}return!1};var Fe=function(t,e,r,n,i,a,o){this.placement=new ke(t,i,a,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};Fe.prototype.isDone=function(){return this._done},Fe.prototype.continuePlacement=function(e,r,n){for(var i=this,a=t.browser.now(),o=function(){var e=t.browser.now()-a;return!i._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if("symbol"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Re(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},Fe.prototype.commit=function(t){return this.placement.commit(t),this.placement};var Be=512/t.EXTENT/2,Ne=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var i=e.get(n),a=i.key;this.indexedSymbolInstances[a]||(this.indexedSymbolInstances[a]=[]),this.indexedSymbolInstances[a].push({crossTileID:i.crossTileID,coord:this.getScaledCoordinates(i,t)})}};Ne.prototype.getScaledCoordinates=function(e,r){var n=r.canonical.z-this.tileID.canonical.z,i=Be/Math.pow(2,n);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*i),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*i)}},Ne.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),i=0;i<t.length;i++){var a=t.get(i);if(!a.crossTileID){var o=this.indexedSymbolInstances[a.key];if(o)for(var s=this.getScaledCoordinates(a,e),l=0,u=o;l<u.length;l+=1){var c=u[l];if(Math.abs(c.coord.x-s.x)<=n&&Math.abs(c.coord.y-s.y)<=n&&!r[c.crossTileID]){r[c.crossTileID]=!0,a.crossTileID=c.crossTileID;break}}}}};var je=function(){this.maxCrossTileID=0};je.prototype.generate=function(){return++this.maxCrossTileID};var Ue=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Ue.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],i={};for(var a in n){var o=n[a];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),i[o.tileID.key]=o}this.indexes[r]=i}this.lng=t},Ue.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++)e.symbolInstances.get(n).crossTileID=0;this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var i=this.usedCrossTileIDs[t.overscaledZ];for(var a in this.indexes){var o=this.indexes[a];if(Number(a)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var u=o[t.scaledTo(Number(a)).key];u&&u.findMatches(e.symbolInstances,t,i)}}for(var c=0;c<e.symbolInstances.length;c++){var f=e.symbolInstances.get(c);f.crossTileID||(f.crossTileID=r.generate(),i[f.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new Ne(t,e.symbolInstances,e.bucketInstanceId),!0},Ue.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,i=e.indexedSymbolInstances[r];n<i.length;n+=1){var a=i[n];delete this.usedCrossTileIDs[t][a.crossTileID]}},Ue.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var i in n)t[n[i].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[i]),delete n[i],e=!0)}return e};var Ve=function(){this.layerIndexes={},this.crossTileIDs=new je,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Ve.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Ue);var i=!1,a={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],u=l.getBucket(t);u&&t.id===u.layerIds[0]&&(u.bucketInstanceId||(u.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,u,this.crossTileIDs)&&(i=!0),a[u.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i},Ve.prototype.pruneUnusedLayers=function(t){var e={};for(var r in t.forEach(function(t){e[t]=!0}),this.layerIndexes)e[r]||delete this.layerIndexes[r]};var He=function(e,r){return t.emitValidationErrors(e,r&&r.filter(function(t){return"source.canvas"!==t.identifier}))},qe=t.pick(Ht,["addLayer","removeLayer","setPaintProperty","setLayoutProperty","setFilter","addSource","removeSource","setLayerZoomRange","setLight","setTransition","setGeoJSONSourceData"]),Ge=t.pick(Ht,["setCenter","setZoom","setBearing","setPitch"]),Ye=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var i=t.styleSpec.$root[n];if(i.required){var a;null!=(a="version"===n?r:"array"===i.type?[]:{})&&(e[n]=a)}}return e}(),We=function(e){function r(n,i){var a=this;void 0===i&&(i={}),e.call(this),this.map=n,this.dispatcher=new k(jt(),this),this.imageManager=new h,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,i.localIdeographFontFamily),this.lineAtlas=new A(256,512),this.crossTileSymbolIndex=new Ve,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast("setReferrer",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginStateChange(function(e){var r={pluginStatus:e.pluginStatus,pluginURL:e.pluginURL};o.dispatcher.broadcast("syncRTLPluginState",r,function(e,r){if(t.triggerPluginCompletionEvent(e),r&&r.every(function(t){return t}))for(var n in o.sourceCaches)o.sourceCaches[n].reload()})}),this.on("data",function(t){if("source"===t.dataType&&"metadata"===t.sourceDataType){var e=a.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in a._layers){var i=a._layers[n];i.source===r.id&&a._validateLayer(i)}}}})}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event("dataloading",{dataType:"style"}));var i="boolean"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var a=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(a,function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,i)})},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event("dataloading",{dataType:"style"})),this._request=t.browser.frame(function(){n._request=null,n._load(e,!1!==r.validate)})},r.prototype.loadEmpty=function(){this.fire(new t.Event("dataloading",{dataType:"style"})),this._load(Ye,!1)},r.prototype._load=function(e,r){if(!r||!He(this,t.validateStyle(e))){for(var n in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(n,e.sources[n],{validate:!1});e.sprite?this._loadSprite(e.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var i=Vt(this.stylesheet.layers);this._order=i.map(function(t){return t.id}),this._layers={},this._serializedLayers={};for(var a=0,o=i;a<o.length;a+=1){var s=o[a];(s=t.createStyleLayer(s)).setEventedParent(this,{layer:{id:s.id}}),this._layers[s.id]=s,this._serializedLayers[s.id]=s.serialize()}this.dispatcher.broadcast("setLayers",this._serializeLayers(this._order)),this.light=new T(this.stylesheet.light),this.fire(new t.Event("data",{dataType:"style"})),this.fire(new t.Event("style.load"))}},r.prototype._loadSprite=function(e){var r=this;this._spriteRequest=function(e,r,n){var i,a,o,s=t.browser.devicePixelRatio>1?"@2x":"",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,".json"),t.ResourceType.SpriteJSON),function(t,e){l=null,o||(o=t,i=e,c())}),u=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,".png"),t.ResourceType.SpriteImage),function(t,e){u=null,o||(o=t,a=e,c())});function c(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],u=l.width,c=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,v=l.stretchX,g=l.stretchY,y=l.content,m=new t.RGBAImage({width:u,height:c});t.RGBAImage.copy(e,m,{x:f,y:h},{x:0,y:0},{width:u,height:c}),r[s]={data:m,pixelRatio:d,sdf:p,stretchX:v,stretchY:g,content:y}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),u&&(u.cancel(),u=null)}}}(e,this.map._requestManager,function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast("setImages",r._availableImages),r.fire(new t.Event("data",{dataType:"style"}))})},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();("geojson"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer "'+n+'" does not exist on source "'+i.id+'" as specified by style layer "'+e.id+'"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=this._layers[i];"custom"!==a.type&&e.push(a.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error("Style is not done loading")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),i=Object.keys(this._removedLayers);for(var a in(n.length||i.length)&&this._updateWorkerLayers(n,i),this._updatedSources){var o=this._updatedSources[a];"reload"===o?this._reloadSource(a):"clear"===o&&this._clearSource(a)}for(var s in this._updateTilesForChangedImages(),this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}for(var l in this.sourceCaches)this.sourceCaches[l].used=!1;for(var u=0,c=this._order;u<c.length;u+=1){var f=c[u],h=this._layers[f];h.recalculate(e,this._availableImages),!h.isHidden(e.zoom)&&h.source&&(this.sourceCaches[h.source].used=!0)}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event("data",{dataType:"style"}))}},r.prototype._updateTilesForChangedImages=function(){var t=Object.keys(this._changedImages);if(t.length){for(var e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies(["icons","patterns"],t);this._changedImages={}}},r.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast("updateLayers",{layers:this._serializeLayers(t),removedIds:e})},r.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),He(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=Vt(e.layers);var n=Kt(this.serialize(),e).filter(function(t){return!(t.command in Ge)});if(0===n.length)return!1;var i=n.filter(function(t){return!(t.command in qe)});if(i.length>0)throw new Error("Unimplemented: "+i.map(function(t){return t.command}).join(", ")+".");return n.forEach(function(t){"setTransition"!==t.command&&r[t.command].apply(r,t.args)}),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error("An image with this name already exists.")));this.imageManager.addImage(e,r),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event("data",{dataType:"style"}))},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error("No image with this name exists.")));this.imageManager.removeImage(e),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event("data",{dataType:"style"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error("There is already a source with this ID");if(!r.type)throw new Error("The type property must be defined, but the only the following properties were given: "+Object.keys(r).join(", ")+".");if(!(["vector","raster","geojson","video","image"].indexOf(r.type)>=0&&this._validate(t.validateStyle.source,"sources."+e,r,null,n))){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Ot(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}}),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error("There is no source with this ID");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source "'+e+'" cannot be removed while layer "'+r+'" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event("data",{sourceDataType:"metadata",dataType:"source",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id "'+i+'" already exists on this map')));else{var a;if("custom"===e.type){if(He(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if("object"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,"layers."+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id "'+r+'" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&"custom"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]="clear":(this._updatedSources[a.source]="reload",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id "'+r+'" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be moved.")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be removed.")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot have zoom extent.")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,"layers."+i.id+".filter",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be filtered.")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be styled.")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style.")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be styled.")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;"geojson"===o&&i?this.fire(new t.ErrorEvent(new Error("GeoJSON sources cannot have a sourceLayer parameter."))):"vector"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error("The feature id parameter must be provided."))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+n+"' does not exist in the map's style.")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o="vector"===a?e.sourceLayer:void 0;"vector"!==a||o?r&&"string"!=typeof e.id&&"number"!=typeof e.id?this.fire(new t.ErrorEvent(new Error("A feature id is requred to remove its specific state property."))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+n+"' does not exist in the map's style.")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if("vector"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error("The feature id parameter must be provided."))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+r+"' does not exist in the map's style.")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,function(t){return t.serialize()}),layers:this._serializeLayers(this._order)},function(t){return void 0!==t})},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&"raster"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]="reload",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return"fill-extrusion"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s<l.length;s+=1){var u=l[s][o];if(u)for(var c=0,f=u;c<f.length;c+=1){var h=f[c];i.push(h)}}}}i.sort(function(t,e){return e.intersectionZ-t.intersectionZ});for(var p=[],d=this._order.length-1;d>=0;d--){var v=this._order[d];if(r(v))for(var g=i.length-1;g>=0;g--){var y=i[g].feature;if(n[y.layer.id]<d)break;p.push(y),i.pop()}else for(var m=0,x=t;m<x.length;m+=1){var b=x[m][v];if(b)for(var _=0,w=b;_<w.length;_+=1){var T=w[_];p.push(T.feature)}}}return p},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,"queryRenderedFeatures.filter",r.filter,null,r);var i={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new t.ErrorEvent(new Error("parameters.layers must be an Array."))),[];for(var a=0,o=r.layers;a<o.length;a+=1){var s=o[a],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error("The layer '"+s+"' does not exist in the map's style and cannot be queried for features."))),[];i[l.source]=!0}}var u=[];for(var c in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!i[c]||u.push(B(this.sourceCaches[c],this._layers,this._serializedLayers,e,r,n));return this.placement&&u.push(function(t,e,r,n,i,a,o){for(var s={},l=a.queryRenderedSymbols(n),u=[],c=0,f=Object.keys(l).map(Number);c<f.length;c+=1){var h=f[c];u.push(o[h])}u.sort(N);for(var p=function(){var r=v[d],n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,i.filter,i.layers,i.availableImages,t);for(var a in n){var o=s[a]=s[a]||[],u=n[a];u.sort(function(t,e){var n=r.featureSortOrder;if(n){var i=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-i}return e.featureIndex-t.featureIndex});for(var c=0,f=u;c<f.length;c+=1){var h=f[c];o.push(h)}}},d=0,v=u;d<v.length;d+=1)p();var g=function(e){s[e].forEach(function(n){var i=n.feature,a=t[e],o=r[a.source].getFeatureState(i.layer["source-layer"],i.id);i.source=i.layer.source,i.layer["source-layer"]&&(i.sourceLayer=i.layer["source-layer"]),i.state=o})};for(var y in s)g(y);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(u)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,"querySourceFeatures.filter",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map(function(e){return t.getTileByID(e)}),n=[],i={},a=0;a<r.length;a++){var o=r[a],s=o.tileID.canonical.key;i[s]||(i[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called "'+t+'" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast("loadWorkerSource",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),i=!1;for(var a in e)if(!t.deepEqual(e[a],n[a])){i=!0;break}if(i){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,i,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&He(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},i)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off("pluginStateChange",this._rtlTextPluginCallback),this._layers)this._layers[e].setEventedParent(null);for(var r in this.sourceCaches)this.sourceCaches[r].clearTiles(),this.sourceCaches[r].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,i,a){void 0===a&&(a=!1);for(var o=!1,s=!1,l={},u=0,c=this._order;u<c.length;u+=1){var f=c[u],h=this._layers[f];if("symbol"===h.type){if(!l[h.source]){var p=this.sourceCaches[h.source];l[h.source]=p.getRenderableIds(!0).map(function(t){return p.getTileByID(t)}).sort(function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)})}var d=this.crossTileSymbolIndex.addLayer(h,l[h.source],e.center.lng);o=o||d}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((a=a||this._layerOrderChanged||0===n)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now(),e.zoom))&&(this.pauseablePlacement=new Fe(e,this._order,a,r,n,i,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(var v=0,g=this._order;v<g.length;v+=1){var y=g[v],m=this._layers[y];"symbol"===m.type&&this.placement.updateLayerOpacities(m,l[m.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(t.browser.now())},r.prototype._releaseSymbolFadeTiles=function(){for(var t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()},r.prototype.getImages=function(t,e,r){this.imageManager.getImages(e.icons,r),this._updateTilesForChangedImages();var n=this.sourceCaches[e.source];n&&n.setDependencies(e.tileID.key,e.type,e.icons)},r.prototype.getGlyphs=function(t,e,r){this.glyphManager.getGlyphs(e.stacks,r)},r.prototype.getResource=function(e,r,n){return t.makeRequest(r,n)},r}(t.Evented);We.getSourceType=function(t){return R[t]},We.setSourceType=function(t,e){R[t]=e},We.registerForPluginStateChange=t.registerForPluginStateChange;var Ze=t.createLayout([{name:"a_pos",type:"Int16",components:2}]),Xe=_r("#ifdef GL_ES\nprecision mediump float;\n#else\n#if !defined(lowp)\n#define lowp\n#endif\n#if !defined(mediump)\n#define mediump\n#endif\n#if !defined(highp)\n#define highp\n#endif\n#endif","#ifdef GL_ES\nprecision highp float;\n#else\n#if !defined(lowp)\n#define lowp\n#endif\n#if !defined(mediump)\n#define mediump\n#endif\n#if !defined(highp)\n#define highp\n#endif\n#endif\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}"),Je=_r("uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}"),Ke=_r("uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}"),$e=_r("varying vec3 v_data;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define mediump float radius\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define highp vec4 stroke_color\n#pragma mapbox: define mediump float stroke_width\n#pragma mapbox: define lowp float stroke_opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize mediump float radius\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize highp vec4 stroke_color\n#pragma mapbox: initialize mediump float stroke_width\n#pragma mapbox: initialize lowp float stroke_opacity\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define mediump float radius\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define highp vec4 stroke_color\n#pragma mapbox: define mediump float stroke_width\n#pragma mapbox: define lowp float stroke_opacity\nvoid main(void) {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize mediump float radius\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize highp vec4 stroke_color\n#pragma mapbox: initialize mediump float stroke_width\n#pragma mapbox: initialize lowp float stroke_opacity\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}"),Qe=_r("void main() {gl_FragColor=vec4(1.0);}","attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}"),tr=_r("uniform highp float u_intensity;varying vec2 v_extrude;\n#pragma mapbox: define highp float weight\n#define GAUSS_COEF 0.3989422804014327\nvoid main() {\n#pragma mapbox: initialize highp float weight\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\n#pragma mapbox: define highp float weight\n#pragma mapbox: define mediump float radius\nconst highp float ZERO=1.0/255.0/16.0;\n#define GAUSS_COEF 0.3989422804014327\nvoid main(void) {\n#pragma mapbox: initialize highp float weight\n#pragma mapbox: initialize mediump float radius\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}"),er=_r("uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(0.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}"),rr=_r("varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}","attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}"),nr=_r("varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}","attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}"),ir=_r("uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}","attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}"),ar=_r("#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float opacity\ngl_FragColor=color*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","attribute vec2 a_pos;uniform mat4 u_matrix;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float opacity\ngl_Position=u_matrix*vec4(a_pos,0,1);}"),or=_r("varying vec2 v_pos;\n#pragma mapbox: define highp vec4 outline_color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 outline_color\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\n#pragma mapbox: define highp vec4 outline_color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 outline_color\n#pragma mapbox: initialize lowp float opacity\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}"),sr=_r("uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}"),lr=_r("uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}"),ur=_r("varying vec4 v_color;void main() {gl_FragColor=v_color;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\n#pragma mapbox: define highp float base\n#pragma mapbox: define highp float height\n#pragma mapbox: define highp vec4 color\nvoid main() {\n#pragma mapbox: initialize highp float base\n#pragma mapbox: initialize highp float height\n#pragma mapbox: initialize highp vec4 color\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}"),cr=_r("uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n#pragma mapbox: define lowp float base\n#pragma mapbox: define lowp float height\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float base\n#pragma mapbox: initialize lowp float height\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n#pragma mapbox: define lowp float base\n#pragma mapbox: define lowp float height\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float base\n#pragma mapbox: initialize lowp float height\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\n? a_pos\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}"),fr=_r("#ifdef GL_ES\nprecision highp float;\n#endif\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform float u_maxzoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggeration=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/ pow(2.0,(u_zoom-u_maxzoom)*exaggeration+19.2562-u_zoom);gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}"),hr=_r("uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\n#define PI 3.141592653589793\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}"),pr=_r("uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}"),dr=_r("uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp float v_lineprogress;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,vec2(v_lineprogress,0.5));gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define MAX_LINE_DISTANCE 32767.0\n#define scale 0.015873016\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_lineprogress;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_lineprogress=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0/MAX_LINE_DISTANCE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}"),vr=_r("uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\n#define LINE_DISTANCE_SCALE 2.0\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}"),gr=_r("uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\n#define LINE_DISTANCE_SCALE 2.0\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}"),yr=_r("uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}"),mr=_r("uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}"),xr=_r("#define SDF_PX 8.0\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}"),br=_r("#define SDF_PX 8.0\n#define SDF 1.0\n#define ICON 0.0\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}");function _r(t,e){var r=/#pragma mapbox: ([\w]+) ([\w]+) ([\w]+) ([\w]+)/g,n={};return{fragmentSource:t=t.replace(r,function(t,e,r,i,a){return n[a]=!0,"define"===e?"\n#ifndef HAS_UNIFORM_u_"+a+"\nvarying "+r+" "+i+" "+a+";\n#else\nuniform "+r+" "+i+" u_"+a+";\n#endif\n":"\n#ifdef HAS_UNIFORM_u_"+a+"\n    "+r+" "+i+" "+a+" = u_"+a+";\n#endif\n"}),vertexSource:e=e.replace(r,function(t,e,r,i,a){var o="float"===i?"vec2":"vec4",s=a.match(/color/)?"color":o;return n[a]?"define"===e?"\n#ifndef HAS_UNIFORM_u_"+a+"\nuniform lowp float u_"+a+"_t;\nattribute "+r+" "+o+" a_"+a+";\nvarying "+r+" "+i+" "+a+";\n#else\nuniform "+r+" "+i+" u_"+a+";\n#endif\n":"vec4"===s?"\n#ifndef HAS_UNIFORM_u_"+a+"\n    "+a+" = a_"+a+";\n#else\n    "+r+" "+i+" "+a+" = u_"+a+";\n#endif\n":"\n#ifndef HAS_UNIFORM_u_"+a+"\n    "+a+" = unpack_mix_"+s+"(a_"+a+", u_"+a+"_t);\n#else\n    "+r+" "+i+" "+a+" = u_"+a+";\n#endif\n":"define"===e?"\n#ifndef HAS_UNIFORM_u_"+a+"\nuniform lowp float u_"+a+"_t;\nattribute "+r+" "+o+" a_"+a+";\n#else\nuniform "+r+" "+i+" u_"+a+";\n#endif\n":"vec4"===s?"\n#ifndef HAS_UNIFORM_u_"+a+"\n    "+r+" "+i+" "+a+" = a_"+a+";\n#else\n    "+r+" "+i+" "+a+" = u_"+a+";\n#endif\n":"\n#ifndef HAS_UNIFORM_u_"+a+"\n    "+r+" "+i+" "+a+" = unpack_mix_"+s+"(a_"+a+", u_"+a+"_t);\n#else\n    "+r+" "+i+" "+a+" = u_"+a+";\n#endif\n"})}}var wr=Object.freeze({__proto__:null,prelude:Xe,background:Je,backgroundPattern:Ke,circle:$e,clippingMask:Qe,heatmap:tr,heatmapTexture:er,collisionBox:rr,collisionCircle:nr,debug:ir,fill:ar,fillOutline:or,fillOutlinePattern:sr,fillPattern:lr,fillExtrusion:ur,fillExtrusionPattern:cr,hillshadePrepare:fr,hillshade:hr,line:pr,lineGradient:dr,linePattern:vr,lineSDF:gr,raster:yr,symbolIcon:mr,symbolSDF:xr,symbolTextAndIcon:br}),Tr=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};Tr.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,u=0;!l&&u<n.length;u++)this.boundPaintVertexBuffers[u]!==n[u]&&(l=!0);var c=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||l||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||c?this.freshBind(e,r,n,i,a,o,s):(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind())},Tr.prototype.freshBind=function(t,e,r,n,i,a,o){var s,l=t.numAttributes,u=this.context,c=u.gl;if(u.extVertexArrayObject)this.vao&&this.destroy(),this.vao=u.extVertexArrayObject.createVertexArrayOES(),u.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=i,this.boundDynamicVertexBuffer=a,this.boundDynamicVertexBuffer2=o;else{s=u.currentNumAttributes||0;for(var f=l;f<s;f++)c.disableVertexAttribArray(f)}e.enableAttributes(c,t);for(var h=0,p=r;h<p.length;h+=1)p[h].enableAttributes(c,t);a&&a.enableAttributes(c,t),o&&o.enableAttributes(c,t),e.bind(),e.setVertexAttribPointers(c,t,i);for(var d=0,v=r;d<v.length;d+=1){var g=v[d];g.bind(),g.setVertexAttribPointers(c,t,i)}a&&(a.bind(),a.setVertexAttribPointers(c,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(c,t,i)),u.currentNumAttributes=l},Tr.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var Ar=function(t,e,r,n,i){var a=t.gl;this.program=a.createProgram();var o=r?r.defines():[];i&&o.push("#define OVERDRAW_INSPECTOR;");var s=o.concat(Xe.fragmentSource,e.fragmentSource).join("\n"),l=o.concat(Xe.vertexSource,e.vertexSource).join("\n"),u=a.createShader(a.FRAGMENT_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(u,s),a.compileShader(u),a.attachShader(this.program,u);var c=a.createShader(a.VERTEX_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(c,l),a.compileShader(c),a.attachShader(this.program,c);for(var f=r?r.layoutAttributes:[],h=0;h<f.length;h++)a.bindAttribLocation(this.program,h,f[h].name);a.linkProgram(this.program),a.deleteShader(c),a.deleteShader(u),this.numAttributes=a.getProgramParameter(this.program,a.ACTIVE_ATTRIBUTES),this.attributes={};for(var p={},d=0;d<this.numAttributes;d++){var v=a.getActiveAttrib(this.program,d);v&&(this.attributes[v.name]=a.getAttribLocation(this.program,v.name))}for(var g=a.getProgramParameter(this.program,a.ACTIVE_UNIFORMS),y=0;y<g;y++){var m=a.getActiveUniform(this.program,y);m&&(p[m.name]=a.getUniformLocation(this.program,m.name))}this.fixedUniforms=n(t,p),this.binderUniforms=r?r.getUniforms(t,p):[]}}};function kr(t,e,r){var n=1/ge(r,1,e.transform.tileZoom),i=Math.pow(2,r.tileID.overscaledZ),a=r.tileSize*Math.pow(2,e.transform.tileZoom)/i,o=a*(r.tileID.canonical.x+r.tileID.wrap*i),s=a*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}Ar.prototype.draw=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=t.gl;if(!this.failedToCreate){for(var m in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[m].set(o[m]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(g={},g[y.LINES]=2,g[y.TRIANGLES]=3,g[y.LINE_STRIP]=1,g)[e],b=0,_=c.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new Tr)).bind(t,this,l,p?p.getPaintVertexBuffers():[],u,w.vertexOffset,d,v),y.drawElements(e,w.primitiveLength*x,y.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Mr=function(e,r,n,i){var a=r.style.light,o=a.properties.get("position"),s=[o.x,o.y,o.z],l=t.create$1();"viewport"===a.properties.get("anchor")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var u=a.properties.get("color");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get("intensity"),u_lightcolor:[u.r,u.g,u.b],u_vertical_gradient:+n,u_opacity:i}},Sr=function(e,r,n,i,a,o,s){return t.extend(Mr(e,r,n,i),kr(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Er=function(t){return{u_matrix:t}},Lr=function(e,r,n,i){return t.extend(Er(e),kr(n,r,i))},Cr=function(t,e){return{u_matrix:t,u_world:e}},Pr=function(e,r,n,i,a){return t.extend(Lr(e,r,n,i),{u_world:a})},Or=function(e,r,n,i){var a,o,s=e.transform;if("map"===i.paint.get("circle-pitch-alignment")){var l=ge(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+("map"===i.paint.get("circle-pitch-scale")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get("circle-translate"),i.paint.get("circle-translate-anchor")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Ir=function(t,e,r){var n=ge(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},Dr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},zr=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Rr=function(t){return{u_matrix:t}},Fr=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:ge(e,1,r),u_intensity:n}};var Br=function(e,r,n){var i=e.transform;return{u_matrix:Hr(e,r,n),u_ratio:1/ge(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},Nr=function(e,r,n){return t.extend(Br(e,r,n),{u_image:0})},jr=function(e,r,n,i){var a=e.transform,o=Vr(r,a);return{u_matrix:Hr(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/ge(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Ur=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=Vr(r,o),u="round"===n.layout.get("line-cap"),c=s.getDash(i.from,u),f=s.getDash(i.to,u),h=c.width*a.fromScale,p=f.width*a.toScale;return t.extend(Br(e,r,n),{u_patternscale_a:[l/h,-c.height/2],u_patternscale_b:[l/p,-f.height/2],u_sdfgamma:s.width/(256*Math.min(h,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:c.y,u_tex_y_b:f.y,u_mix:a.t})};function Vr(t,e){return 1/ge(t,1,e.tileZoom)}function Hr(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get("line-translate"),r.paint.get("line-translate-anchor"))}var qr=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get("raster-opacity"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get("raster-brightness-min"),u_brightness_high:i.paint.get("raster-brightness-max"),u_saturation_factor:(o=i.paint.get("raster-saturation"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get("raster-contrast"),a>0?1/(1-a):1+a),u_spin_weights:Gr(i.paint.get("raster-hue-rotate"))};var a,o};function Gr(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var Yr,Wr=function(t,e,r,n,i,a,o,s,l,u){var c=i.transform;return{u_is_size_zoom_constant:+("constant"===t||"source"===t),u_is_size_feature_constant:+("constant"===t||"camera"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:c.cameraToCenterDistance,u_pitch:c.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:c.width/c.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:u,u_texture:0}},Zr=function(e,r,n,i,a,o,s,l,u,c,f){var h=a.transform;return t.extend(Wr(e,r,n,i,a,o,s,l,u,c),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},Xr=function(e,r,n,i,a,o,s,l,u,c){return t.extend(Zr(e,r,n,i,a,o,s,l,!0,u,!0),{u_texsize_icon:c,u_texture_icon:1})},Jr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},Kr=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,u=Math.pow(2,n.tileID.overscaledZ),c=n.tileSize*Math.pow(2,r.transform.tileZoom)/u,f=c*(n.tileID.canonical.x+n.tileID.wrap*u),h=c*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/ge(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},$r={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_maxzoom:new t.Uniform1f(e,r.u_maxzoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function Qr(e,r,n,i,a,o,s){for(var l=e.context,u=l.gl,c=e.useProgram("collisionBox"),f=[],h=0,p=0,d=0;d<i.length;d++){var v=i[d],g=r.getTile(v),y=g.getBucket(n);if(y){var m=v.posMatrix;0===a[0]&&0===a[1]||(m=e.translatePosMatrix(v.posMatrix,g,a,o));var x=s?y.textCollisionBox:y.iconCollisionBox,b=y.collisionCircleArray;if(b.length>0){var _=t.create(),w=m;t.mul(_,y.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,y.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&c.draw(l,u.LINES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,Ir(m,e.transform,g),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram("collisionCircle"),A=new t.StructArrayLayout2f1f2i16;A.resize(4*h),A._trim();for(var k=0,M=0,S=f;M<S.length;M+=1)for(var E=S[M],L=0;L<E.circleArray.length/4;L++){var C=4*L,P=E.circleArray[C+0],O=E.circleArray[C+1],I=E.circleArray[C+2],D=E.circleArray[C+3];A.emplace(k++,P,O,I,D,0),A.emplace(k++,P,O,I,D,1),A.emplace(k++,P,O,I,D,2),A.emplace(k++,P,O,I,D,3)}(!Yr||Yr.length<2*h)&&(Yr=function(e){var r=2*e,n=new t.StructArrayLayout3ui6;n.resize(r),n._trim();for(var i=0;i<r;i++){var a=6*i;n.uint16[a+0]=4*i+0,n.uint16[a+1]=4*i+1,n.uint16[a+2]=4*i+2,n.uint16[a+3]=4*i+2,n.uint16[a+4]=4*i+3,n.uint16[a+5]=4*i+0}return n}(h));for(var z=l.createIndexBuffer(Yr,!0),R=l.createVertexBuffer(A,t.collisionCircleLayout.members,!0),F=0,B=f;F<B.length;F+=1){var N=B[F],j=Dr(N.transform,N.invTransform,e.transform);T.draw(l,u.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,j,n.id,R,z,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),z.destroy()}}var tn=t.identity(new Float32Array(16));function en(e,r,n,i,a,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,u=-(s.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,i);return new t.Point((l/a+c[0])*o,(u/a+c[1])*o)}function rn(e,r,n,i,a,o,s,l,u,c,f){var h=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,v={};p.clear();for(var g=0;g<h.length;g++){var y=h.get(g),m=e.allowVerticalPlacement&&!y.placedOrientation,x=y.hidden||!y.crossTileID||m?null:i[y.crossTileID];if(x){var b=new t.Point(y.anchorX,y.anchorY),_=re(b,n?l:s),w=ne(o.cameraToCenterDistance,_.signedDistanceFromCamera),T=a.evaluateSizeForFeature(e.textSizeData,c,y)*w/t.ONE_EM;n&&(T*=e.tilePixelRatio/u);for(var A=x.width,k=x.height,M=en(x.anchor,A,k,x.textOffset,x.textBoxScale,T),S=n?re(b.add(M),s).point:_.point.add(r?M.rotate(-o.angle):M),E=e.allowVerticalPlacement&&y.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,L=0;L<y.numGlyphs;L++)t.addDynamicAttributes(p,S,E);f&&y.associatedIconIndex>=0&&(v[y.associatedIconIndex]={shiftedAnchor:S,angle:E})}else he(y.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P<C.length;P++){var O=C.get(P);if(O.hidden)he(O.numGlyphs,d);else{var I=v[P];if(I)for(var D=0;D<O.numGlyphs;D++)t.addDynamicAttributes(d,I.shiftedAnchor,I.angle);else he(O.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function nn(t,e,r){return r.iconsInText&&e?"symbolTextAndIcon":t?"symbolSDF":"symbolIcon"}function an(e,r,n,i,a,o,s,l,u,c,f,h){for(var p=e.context,d=p.gl,v=e.transform,g="map"===l,y="map"===u,m=g&&"point"!==n.layout.get("symbol-placement"),x=g&&!y&&!m,b=void 0!==n.layout.get("symbol-sort-key").constantOr(1),_=e.depthModeForSublayer(0,Mt.ReadOnly),w=n.layout.get("text-variable-anchor"),T=[],A=0,k=i;A<k.length;A+=1){var M=k[A],S=r.getTile(M),E=S.getBucket(n);if(E){var L=a?E.text:E.icon;if(L&&L.segments.get().length){var C=L.programConfigurations.get(n.id),P=a||E.sdfIcons,O=a?E.textSizeData:E.iconSizeData,I=y||0!==v.pitch,D=e.useProgram(nn(P,a,E),C),z=t.evaluateSizeForZoom(O,v.zoom),R=void 0,F=[0,0],B=void 0,N=void 0,j=null,U=void 0;if(a){if(B=S.glyphAtlasTexture,N=d.LINEAR,R=S.glyphAtlasTexture.size,E.iconsInText){F=S.imageAtlasTexture.size,j=S.imageAtlasTexture;var 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rt=et[tt];T.push({segments:new t.SegmentVector([rt]),sortKey:rt.sortKey,state:Q})}else T.push({segments:L.segments,sortKey:0,state:Q})}}}b&&T.sort(function(t,e){return t.sortKey-e.sortKey});for(var nt=0,it=T;nt<it.length;nt+=1){var at=it[nt],ot=at.state;if(p.activeTexture.set(d.TEXTURE0),ot.atlasTexture.bind(ot.atlasInterpolation,d.CLAMP_TO_EDGE),ot.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),ot.atlasTextureIcon&&ot.atlasTextureIcon.bind(ot.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),ot.isSDF){var st=ot.uniformValues;ot.hasHalo&&(st.u_is_halo=1,on(ot.buffers,at.segments,n,e,ot.program,_,f,h,st)),st.u_is_halo=0}on(ot.buffers,at.segments,n,e,ot.program,_,f,h,ot.uniformValues)}}function on(t,e,r,n,i,a,o,s,l){var u=n.context,c=u.gl;i.draw(u,c.TRIANGLES,a,o,s,Ct.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function sn(t,e,r,n,i,a,o){var s,l,u,c,f,h=t.context.gl,p=r.paint.get("fill-pattern"),d=p&&p.constantOr(1),v=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty("fill-outline-color")?"fillOutlinePattern":"fillOutline",s=h.LINES):(l=d?"fillPattern":"fill",s=h.TRIANGLES);for(var g=0,y=n;g<y.length;g+=1){var m=y[g],x=e.getTile(m);if(!d||x.patternsLoaded()){var b=x.getBucket(r);if(b){var _=b.programConfigurations.get(r.id),w=t.useProgram(l,_);d&&(t.context.activeTexture.set(h.TEXTURE0),x.imageAtlasTexture.bind(h.LINEAR,h.CLAMP_TO_EDGE),_.updatePaintBuffers(v));var T=p.constantOr(null);if(T&&x.imageAtlas){var A=x.imageAtlas,k=A.patternPositions[T.to.toString()],M=A.patternPositions[T.from.toString()];k&&M&&_.setConstantPatternPositions(k,M)}var S=t.translatePosMatrix(m.posMatrix,x,r.paint.get("fill-translate"),r.paint.get("fill-translate-anchor"));if(o){c=b.indexBuffer2,f=b.segments2;var E=[h.drawingBufferWidth,h.drawingBufferHeight];u="fillOutlinePattern"===l&&d?Pr(S,t,v,x,E):Cr(S,E)}else c=b.indexBuffer,f=b.segments,u=d?Lr(S,t,v,x):Er(S);w.draw(t.context,s,i,t.stencilModeForClipping(m),a,Ct.disabled,u,r.id,b.layoutVertexBuffer,c,f,r.paint,t.transform.zoom,_)}}}}function ln(t,e,r,n,i,a,o){for(var s=t.context,l=s.gl,u=r.paint.get("fill-extrusion-pattern"),c=u.constantOr(1),f=r.getCrossfadeParameters(),h=r.paint.get("fill-extrusion-opacity"),p=0,d=n;p<d.length;p+=1){var v=d[p],g=e.getTile(v),y=g.getBucket(r);if(y){var m=y.programConfigurations.get(r.id),x=t.useProgram(c?"fillExtrusionPattern":"fillExtrusion",m);c&&(t.context.activeTexture.set(l.TEXTURE0),g.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),m.updatePaintBuffers(f));var b=u.constantOr(null);if(b&&g.imageAtlas){var _=g.imageAtlas,w=_.patternPositions[b.to.toString()],T=_.patternPositions[b.from.toString()];w&&T&&m.setConstantPatternPositions(w,T)}var A=t.translatePosMatrix(v.posMatrix,g,r.paint.get("fill-extrusion-translate"),r.paint.get("fill-extrusion-translate-anchor")),k=r.paint.get("fill-extrusion-vertical-gradient"),M=c?Sr(A,t,k,h,v,f,g):Mr(A,t,k,h);x.draw(s,s.gl.TRIANGLES,i,a,o,Ct.backCCW,M,r.id,y.layoutVertexBuffer,y.indexBuffer,y.segments,r.paint,t.transform.zoom,m)}}}function un(e,r,n,i,a,o){var s=e.context,l=s.gl,u=r.fbo;if(u){var c=e.useProgram("hillshade");s.activeTexture.set(l.TEXTURE0),l.bindTexture(l.TEXTURE_2D,u.colorAttachment.get());var f=function(e,r,n){var i=n.paint.get("hillshade-shadow-color"),a=n.paint.get("hillshade-highlight-color"),o=n.paint.get("hillshade-accent-color"),s=n.paint.get("hillshade-illumination-direction")*(Math.PI/180);"viewport"===n.paint.get("hillshade-illumination-anchor")&&(s-=e.transform.angle);var l,u,c,f=!e.options.moving;return{u_matrix:e.transform.calculatePosMatrix(r.tileID.toUnwrapped(),f),u_image:0,u_latrange:(l=r.tileID,u=Math.pow(2,l.canonical.z),c=l.canonical.y,[new t.MercatorCoordinate(0,c/u).toLngLat().lat,new t.MercatorCoordinate(0,(c+1)/u).toLngLat().lat]),u_light:[n.paint.get("hillshade-exaggeration"),s],u_shadow:i,u_highlight:a,u_accent:o}}(e,r,n);c.draw(s,l.TRIANGLES,i,a,o,Ct.disabled,f,n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments)}}function cn(e,r,n,i,a,o,s){var l=e.context,u=l.gl,c=r.dem;if(c&&c.data){var f=c.dim,h=c.stride,p=c.getPixels();if(l.activeTexture.set(u.TEXTURE1),l.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(h),r.demTexture){var d=r.demTexture;d.update(p,{premultiply:!1}),d.bind(u.NEAREST,u.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(l,p,u.RGBA,{premultiply:!1}),r.demTexture.bind(u.NEAREST,u.CLAMP_TO_EDGE);l.activeTexture.set(u.TEXTURE0);var v=r.fbo;if(!v){var g=new t.Texture(l,{width:f,height:f,data:null},u.RGBA);g.bind(u.LINEAR,u.CLAMP_TO_EDGE),(v=r.fbo=l.createFramebuffer(f,f,!0)).colorAttachment.set(g.texture)}l.bindFramebuffer.set(v.framebuffer),l.viewport.set([0,0,f,f]),e.useProgram("hillshadePrepare").draw(l,u.TRIANGLES,a,o,s,Ct.disabled,function(e,r,n){var i=r.stride,a=t.create();return t.ortho(a,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(a,a,[0,-t.EXTENT,0]),{u_matrix:a,u_image:1,u_dimension:[i,i],u_zoom:e.overscaledZ,u_maxzoom:n,u_unpack:r.getUnpackVector()}}(r.tileID,c,i),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function fn(e,r,n,i,a){var o=i.paint.get("raster-fade-duration");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,u=r?(s-r.timeAdded)/o:-1,c=n.getSource(),f=a.coveringZoomLevel({tileSize:c.tileSize,roundZoom:c.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-u,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var hn=new t.Color(1,0,0,1),pn=new t.Color(0,1,0,1),dn=new t.Color(0,0,1,1),vn=new t.Color(1,0,1,1),gn=new t.Color(0,1,1,1);function yn(t){var e=t.transform.padding;mn(t,t.transform.height-(e.top||0),3,hn),mn(t,e.bottom||0,3,pn),xn(t,e.left||0,3,dn),xn(t,t.transform.width-(e.right||0),3,vn);var r=t.transform.centerPoint;!function(t,e,r,n){var i=20,a=2;bn(t,e-a/2,r-i/2,a,i,n),bn(t,e-i/2,r-a/2,i,a,n)}(t,r.x,t.transform.height-r.y,gn)}function mn(t,e,r,n){bn(t,0,e+r/2,t.transform.width,r,n)}function xn(t,e,r,n){bn(t,e-r/2,0,r,t.transform.height,n)}function bn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function _n(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram("debug"),l=Mt.disabled,u=Et.disabled,c=e.colorModeForRenderPass(),f="$debug";i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,u,c,Ct.disabled,zr(o,t.Color.red),f,e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var h=r.getTileByID(n.key).latestRawTileData,p=h&&h.byteLength||0,d=Math.floor(p/1024),v=r.getTile(n).tileSize,g=512/Math.min(v,512)*(n.overscaledZ/e.transform.zoom)*.5,y=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(y+=" => "+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext("2d");i.clearRect(0,0,r.width,r.height),i.shadowColor="white",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle="white",i.textBaseline="top",i.font="bold 36px Open Sans, sans-serif",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,y+" 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_=Math.pow(2,l.zoom-d.tileID.overscaledZ);rn(v,u,c,s,t.symbolSize,l,x,p.posMatrix,_,y,b)}}}}(i,e,n,r,n.layout.get("text-rotation-alignment"),n.layout.get("text-pitch-alignment"),a),0!==n.paint.get("icon-opacity").constantOr(1)&&an(e,r,n,i,!1,n.paint.get("icon-translate"),n.paint.get("icon-translate-anchor"),n.layout.get("icon-rotation-alignment"),n.layout.get("icon-pitch-alignment"),n.layout.get("icon-keep-upright"),o,s),0!==n.paint.get("text-opacity").constantOr(1)&&an(e,r,n,i,!0,n.paint.get("text-translate"),n.paint.get("text-translate-anchor"),n.layout.get("text-rotation-alignment"),n.layout.get("text-pitch-alignment"),n.layout.get("text-keep-upright"),o,s),r.map.showCollisionBoxes&&(Qr(e,r,n,i,n.paint.get("text-translate"),n.paint.get("text-translate-anchor"),!0),Qr(e,r,n,i,n.paint.get("icon-translate"),n.paint.get("icon-translate-anchor"),!1))}},circle:function(e,r,n,i){if("translucent"===e.renderPass){var a=n.paint.get("circle-opacity"),o=n.paint.get("circle-stroke-width"),s=n.paint.get("circle-stroke-opacity"),l=void 0!==n.layout.get("circle-sort-key").constantOr(1);if(0!==a.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var u=e.context,c=u.gl,f=e.depthModeForSublayer(0,Mt.ReadOnly),h=Et.disabled,p=e.colorModeForRenderPass(),d=[],v=0;v<i.length;v++){var g=i[v],y=r.getTile(g),m=y.getBucket(n);if(m){var x=m.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram("circle",x),layoutVertexBuffer:m.layoutVertexBuffer,indexBuffer:m.indexBuffer,uniformValues:Or(e,g,y,n)};if(l)for(var _=0,w=m.segments.get();_<w.length;_+=1){var T=w[_];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:b})}else d.push({segments:m.segments,sortKey:0,state:b})}}l&&d.sort(function(t,e){return t.sortKey-e.sortKey});for(var A=0,k=d;A<k.length;A+=1){var M=k[A],S=M.state,E=S.programConfiguration,L=S.program,C=S.layoutVertexBuffer,P=S.indexBuffer,O=S.uniformValues,I=M.segments;L.draw(u,c.TRIANGLES,f,h,p,Ct.disabled,O,n.id,C,P,I,n.paint,e.transform.zoom,E)}}}},heatmap:function(e,r,n,i){if(0!==n.paint.get("heatmap-opacity"))if("offscreen"===e.renderPass){var a=e.context,o=a.gl,s=Et.disabled,l=new Lt([o.ONE,o.ONE],t.Color.transparent,[!0,!0,!0,!0]);(function(t,e,r){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var i=r.heatmapFbo;if(i)n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),t.bindFramebuffer.set(i.framebuffer);else{var a=n.createTexture();n.bindTexture(n.TEXTURE_2D,a),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),i=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1),function(t,e,r,n){var i=t.gl,a=t.extRenderToTextureHalfFloat?t.extTextureHalfFloat.HALF_FLOAT_OES:i.UNSIGNED_BYTE;i.texImage2D(i.TEXTURE_2D,0,i.RGBA,e.width/4,e.height/4,0,i.RGBA,a,null),n.colorAttachment.set(r)}(t,e,a,i)}})(a,e,n),a.clear({color:t.Color.transparent});for(var u=0;u<i.length;u++){var c=i[u];if(!r.hasRenderableParent(c)){var f=r.getTile(c),h=f.getBucket(n);if(h){var p=h.programConfigurations.get(n.id),d=e.useProgram("heatmap",p),v=e.transform.zoom;d.draw(a,o.TRIANGLES,Mt.disabled,s,l,Ct.disabled,Fr(c.posMatrix,f,v,n.paint.get("heatmap-intensity")),n.id,h.layoutVertexBuffer,h.indexBuffer,h.segments,n.paint,e.transform.zoom,p)}}}a.viewport.set([0,0,e.width,e.height])}else"translucent"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,i=n.gl,a=r.heatmapFbo;if(a){n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,a.colorAttachment.get()),n.activeTexture.set(i.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,i.RGBA)),o.bind(i.LINEAR,i.CLAMP_TO_EDGE),e.useProgram("heatmapTexture").draw(n,i.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,function(e,r,n,i){var a=t.create();t.ortho(a,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:i,u_opacity:r.paint.get("heatmap-opacity")}}(e,r,0,1),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}}(e,n))},line:function(e,r,n,i){if("translucent"===e.renderPass){var a=n.paint.get("line-opacity"),o=n.paint.get("line-width");if(0!==a.constantOr(1)&&0!==o.constantOr(1)){var s=e.depthModeForSublayer(0,Mt.ReadOnly),l=e.colorModeForRenderPass(),u=n.paint.get("line-dasharray"),c=n.paint.get("line-pattern"),f=c.constantOr(1),h=n.paint.get("line-gradient"),p=n.getCrossfadeParameters(),d=f?"linePattern":u?"lineSDF":h?"lineGradient":"line",v=e.context,g=v.gl,y=!0;if(h){v.activeTexture.set(g.TEXTURE0);var m=n.gradientTexture;if(!n.gradient)return;m||(m=n.gradientTexture=new t.Texture(v,n.gradient,g.RGBA)),m.bind(g.LINEAR,g.CLAMP_TO_EDGE)}for(var x=0,b=i;x<b.length;x+=1){var _=b[x],w=r.getTile(_);if(!f||w.patternsLoaded()){var T=w.getBucket(n);if(T){var A=T.programConfigurations.get(n.id),k=e.context.program.get(),M=e.useProgram(d,A),S=y||M.program!==k,E=c.constantOr(null);if(E&&w.imageAtlas){var L=w.imageAtlas,C=L.patternPositions[E.to.toString()],P=L.patternPositions[E.from.toString()];C&&P&&A.setConstantPatternPositions(C,P)}var O=f?jr(e,w,n,p):u?Ur(e,w,n,u,p):h?Nr(e,w,n):Br(e,w,n);f?(v.activeTexture.set(g.TEXTURE0),w.imageAtlasTexture.bind(g.LINEAR,g.CLAMP_TO_EDGE),A.updatePaintBuffers(p)):u&&(S||e.lineAtlas.dirty)&&(v.activeTexture.set(g.TEXTURE0),e.lineAtlas.bind(v)),M.draw(v,g.TRIANGLES,s,e.stencilModeForClipping(_),l,Ct.disabled,O,n.id,T.layoutVertexBuffer,T.indexBuffer,T.segments,n.paint,e.transform.zoom,A),y=!1}}}}}},fill:function(e,r,n,i){var a=n.paint.get("fill-color"),o=n.paint.get("fill-opacity");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get("fill-pattern"),u=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?"opaque":"translucent";if(e.renderPass===u){var c=e.depthModeForSublayer(1,"opaque"===e.renderPass?Mt.ReadWrite:Mt.ReadOnly);sn(e,r,n,i,c,s,!1)}if("translucent"===e.renderPass&&n.paint.get("fill-antialias")){var f=e.depthModeForSublayer(n.getPaintProperty("fill-outline-color")?2:0,Mt.ReadOnly);sn(e,r,n,i,f,s,!0)}}},"fill-extrusion":function(t,e,r,n){var i=r.paint.get("fill-extrusion-opacity");if(0!==i&&"translucent"===t.renderPass){var a=new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get("fill-extrusion-pattern").constantOr(1))ln(t,e,r,n,a,Et.disabled,Lt.disabled),ln(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();ln(t,e,r,n,a,Et.disabled,o)}}},hillshade:function(t,e,r,n){if("offscreen"===t.renderPass||"translucent"===t.renderPass){for(var i=t.context,a=e.getSource().maxzoom,o=t.depthModeForSublayer(0,Mt.ReadOnly),s=t.colorModeForRenderPass(),l="translucent"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],u=l[0],c=0,f=l[1];c<f.length;c+=1){var h=f[c],p=e.getTile(h);p.needsHillshadePrepare&&"offscreen"===t.renderPass?cn(t,p,r,a,o,Et.disabled,s):"translucent"===t.renderPass&&un(t,p,r,o,u[h.overscaledZ],s)}i.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if("translucent"===t.renderPass&&0!==r.paint.get("raster-opacity")&&n.length)for(var i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram("raster"),l=t.colorModeForRenderPass(),u=o instanceof I?[{},n]:t.stencilConfigForOverlap(n),c=u[0],f=u[1],h=f[f.length-1].overscaledZ,p=!t.options.moving,d=0,v=f;d<v.length;d+=1){var g=v[d],y=t.depthModeForSublayer(g.overscaledZ-h,1===r.paint.get("raster-opacity")?Mt.ReadWrite:Mt.ReadOnly,a.LESS),m=e.getTile(g),x=t.transform.calculatePosMatrix(g.toUnwrapped(),p);m.registerFadeDuration(r.paint.get("raster-fade-duration"));var b=e.findLoadedParent(g,0),_=fn(m,b,e,r,t.transform),w=void 0,T=void 0,A="nearest"===r.paint.get("raster-resampling")?a.NEAREST:a.LINEAR;i.activeTexture.set(a.TEXTURE0),m.texture.bind(A,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),i.activeTexture.set(a.TEXTURE1),b?(b.texture.bind(A,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),w=Math.pow(2,b.tileID.overscaledZ-m.tileID.overscaledZ),T=[m.tileID.canonical.x*w%1,m.tileID.canonical.y*w%1]):m.texture.bind(A,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST);var k=qr(x,T||[0,0],w||1,_,r);o instanceof I?s.draw(i,a.TRIANGLES,y,Et.disabled,l,Ct.disabled,k,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,y,c[g.overscaledZ],l,Ct.disabled,k,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get("background-color"),i=r.paint.get("background-opacity");if(0!==i){var a=t.context,o=a.gl,s=t.transform,l=s.tileSize,u=r.paint.get("background-pattern");if(!t.isPatternMissing(u)){var c=!u&&1===n.a&&1===i&&t.opaquePassEnabledForLayer()?"opaque":"translucent";if(t.renderPass===c){var f=Et.disabled,h=t.depthModeForSublayer(0,"opaque"===c?Mt.ReadWrite:Mt.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(u?"backgroundPattern":"background"),v=s.coveringTiles({tileSize:l});u&&(a.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var g=r.getCrossfadeParameters(),y=0,m=v;y<m.length;y+=1){var x=m[y],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=u?Kr(b,i,t,u,{tileID:x,tileSize:l},g):Jr(b,i,n);d.draw(a,o.TRIANGLES,h,f,p,Ct.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)_n(t,e,r[n])},custom:function(t,e,r){var n=t.context,i=r.implementation;if("offscreen"===t.renderPass){var a=i.prerender;a&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),a.call(i,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if("translucent"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(Et.disabled);var o="3d"===i.renderingMode?new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,Mt.ReadOnly);n.setDepthMode(o),i.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},Tn=function(t,e){this.context=new Pt(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Ot.maxUnderzooming+Ot.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Ve,this.gpuTimers={}};Tn.prototype.resize=function(e,r){if(this.width=e*t.browser.devicePixelRatio,this.height=r*t.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var n=0,i=this.style._order;n<i.length;n+=1){var a=i[n];this.style._layers[a].resize()}},Tn.prototype.setup=function(){var e=this.context,r=new t.StructArrayLayout2i4;r.emplaceBack(0,0),r.emplaceBack(t.EXTENT,0),r.emplaceBack(0,t.EXTENT),r.emplaceBack(t.EXTENT,t.EXTENT),this.tileExtentBuffer=e.createVertexBuffer(r,Ze.members),this.tileExtentSegments=t.SegmentVector.simpleSegment(0,0,4,2);var n=new t.StructArrayLayout2i4;n.emplaceBack(0,0),n.emplaceBack(t.EXTENT,0),n.emplaceBack(0,t.EXTENT),n.emplaceBack(t.EXTENT,t.EXTENT),this.debugBuffer=e.createVertexBuffer(n,Ze.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var i=new t.StructArrayLayout4i8;i.emplaceBack(0,0,0,0),i.emplaceBack(t.EXTENT,0,t.EXTENT,0),i.emplaceBack(0,t.EXTENT,0,t.EXTENT),i.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(i,O.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var a=new t.StructArrayLayout2i4;a.emplaceBack(0,0),a.emplaceBack(1,0),a.emplaceBack(0,1),a.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(a,Ze.members),this.viewportSegments=t.SegmentVector.simpleSegment(0,0,4,2);var o=new t.StructArrayLayout1ui2;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=e.createIndexBuffer(o);var s=new t.StructArrayLayout3ui6;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=e.createIndexBuffer(s),this.emptyTexture=new t.Texture(e,{width:1,height:1,data:new Uint8Array([0,0,0,0])},e.gl.RGBA);var l=this.context.gl;this.stencilClearMode=new Et({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},Tn.prototype.clearStencil=function(){var e=this.context,r=e.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var n=t.create();t.ortho(n,0,this.width,this.height,0,0,1),t.scale(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram("clippingMask").draw(e,r.TRIANGLES,Mt.disabled,this.stencilClearMode,Lt.disabled,Ct.disabled,Rr(n),"$clipping",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},Tn.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(Lt.disabled),r.setDepthMode(Mt.disabled);var i=this.useProgram("clippingMask");this._tileClippingMaskIDs={};for(var a=0,o=e;a<o.length;a+=1){var s=o[a],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;i.draw(r,n.TRIANGLES,Mt.disabled,new Et({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),Lt.disabled,Ct.disabled,Rr(s.posMatrix),"$clipping",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},Tn.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Et({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},Tn.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Et({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},Tn.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort(function(t,e){return e.overscaledZ-t.overscaledZ}),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s<a;s++)o[s+i]=new Et({func:r.GEQUAL,mask:255},s+this.nextStencilID,255,r.KEEP,r.KEEP,r.REPLACE);return this.nextStencilID+=a,[o,n]}return[(e={},e[i]=Et.disabled,e),n]},Tn.prototype.colorModeForRenderPass=function(){var e=this.context.gl;if(this._showOverdrawInspector){var r=1/8;return new Lt([e.CONSTANT_COLOR,e.ONE],new t.Color(r,r,r,0),[!0,!0,!0,!0])}return"opaque"===this.renderPass?Lt.unblended:Lt.alphaBlended},Tn.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return Mt.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new Mt(r||this.context.gl.LEQUAL,e,[n,n])},Tn.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},Tn.prototype.render=function(e,r){var n=this;this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var i=this.style._order,a=this.style.sourceCaches;for(var o in a){var s=a[o];s.used&&s.prepare(this.context)}var l,u,c={},f={},h={};for(var p in a){var d=a[p];c[p]=d.getVisibleCoordinates(),f[p]=c[p].slice().reverse(),h[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var v=0;v<i.length;v++){var g=i[v];if(this.style._layers[g].is3D()){this.opaquePassCutoff=v;break}}this.renderPass="offscreen";for(var y=0,m=i;y<m.length;y+=1){var x=m[y],b=this.style._layers[x];if(b.hasOffscreenPass()&&!b.isHidden(this.transform.zoom)){var _=f[b.source];("custom"===b.type||_.length)&&this.renderLayer(this,a[b.source],b,_)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?t.Color.black:t.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(e._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass="opaque",this.currentLayer=i.length-1;this.currentLayer>=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],A=c[w.source];this._renderTileClippingMasks(w,A),this.renderLayer(this,T,w,A)}for(this.renderPass="translucent",this.currentLayer=0;this.currentLayer<i.length;this.currentLayer++){var k=this.style._layers[i[this.currentLayer]],M=a[k.source],S=("symbol"===k.type?h:f)[k.source];this._renderTileClippingMasks(k,c[k.source]),this.renderLayer(this,M,k,S)}this.options.showTileBoundaries&&(t.values(this.style._layers).forEach(function(t){t.source&&!t.isHidden(n.transform.zoom)&&(t.source!==(u&&u.id)&&(u=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<u.getSource().maxzoom)&&(l=u))}),l&&wn.debug(this,l,l.getVisibleCoordinates())),this.options.showPadding&&yn(this),this.context.setDefault()},Tn.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||("background"===r.type||"custom"===r.type||n.length)&&(this.id=r.id,this.gpuTimingStart(r),wn[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},Tn.prototype.gpuTimingStart=function(t){if(this.options.gpuTiming){var e=this.context.extTimerQuery,r=this.gpuTimers[t.id];r||(r=this.gpuTimers[t.id]={calls:0,cpuTime:0,query:e.createQueryEXT()}),r.calls++,e.beginQueryEXT(e.TIME_ELAPSED_EXT,r.query)}},Tn.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},Tn.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},Tn.prototype.queryGpuTimers=function(t){var e={};for(var r in t){var n=t[r],i=this.context.extTimerQuery,a=i.getQueryObjectEXT(n.query,i.QUERY_RESULT_EXT)/1e6;i.deleteQueryEXT(n.query),e[r]=a}return e},Tn.prototype.translatePosMatrix=function(e,r,n,i,a){if(!n[0]&&!n[1])return e;var o=a?"map"===i?this.transform.angle:0:"viewport"===i?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var u=[a?n[0]:ge(r,n[0],this.transform.zoom),a?n[1]:ge(r,n[1],this.transform.zoom),0],c=new Float32Array(16);return t.translate(c,e,u),c},Tn.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},Tn.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},Tn.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},Tn.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=""+t+(e?e.cacheKey:"")+(this._showOverdrawInspector?"/overdraw":"");return this.cache[r]||(this.cache[r]=new Ar(this.context,wr[t],e,$r[t],this._showOverdrawInspector)),this.cache[r]},Tn.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},Tn.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},Tn.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement("canvas"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},Tn.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var An=function(t,e){this.points=t,this.planes=e};An.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map(function(r){return t.transformMat4([],r,e)}).map(function(e){return t.scale$1([],e,1/e[3]/r*i)}),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map(function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)});return new An(a,o)};var kn=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};kn.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a<r.length;a++)n[a]=r[a]?this.min[a]:this.center[a],i[a]=r[a]?this.center[a]:this.max[a];return i[2]=this.max[2],new kn(n,i)},kn.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},kn.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},kn.prototype.intersects=function(e){for(var r=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],n=!0,i=0;i<e.planes.length;i++){for(var a=e.planes[i],o=0,s=0;s<r.length;s++)o+=t.dot$1(a,r[s])>=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var u=Number.MAX_VALUE,c=-Number.MAX_VALUE,f=0;f<e.points.length;f++){var h=e.points[f][l]-this.min[l];u=Math.min(u,h),c=Math.max(c,h)}if(c<0||u>this.max[l]-this.min[l])return 0}return 1};var Mn=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error("Invalid value for edge-insets, top, bottom, left and right must all be numbers");this.top=t,this.bottom=e,this.left=r,this.right=n};Mn.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},Mn.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),i=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,i)},Mn.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},Mn.prototype.clone=function(){return new Mn(this.top,this.bottom,this.left,this.right)},Mn.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var Sn=function(e,r,n,i,a){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===a||a,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new Mn,this._posMatrixCache={},this._alignedPosMatrixCache={}},En={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};Sn.prototype.clone=function(){var t=new Sn(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},En.minZoom.get=function(){return this._minZoom},En.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},En.maxZoom.get=function(){return this._maxZoom},En.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},En.minPitch.get=function(){return this._minPitch},En.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},En.maxPitch.get=function(){return this._maxPitch},En.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},En.renderWorldCopies.get=function(){return this._renderWorldCopies},En.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},En.worldSize.get=function(){return this.tileSize*this.scale},En.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},En.size.get=function(){return new t.Point(this.width,this.height)},En.bearing.get=function(){return-this.angle/Math.PI*180},En.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},En.pitch.get=function(){return this._pitch/Math.PI*180},En.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},En.fov.get=function(){return this._fov/Math.PI*180},En.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},En.zoom.get=function(){return this._zoom},En.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},En.center.get=function(){return this._center},En.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},En.padding.get=function(){return this._edgeInsets.toJSON()},En.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},En.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},Sn.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},Sn.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},Sn.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},Sn.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),u=s-1;u<=l+1;u++)0!==u&&r.push(new t.UnwrappedTileID(u,e));return r},Sn.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&r<e.minzoom)return[];void 0!==e.maxzoom&&r>e.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=An.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var u=function(t){return{aabb:new kn([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},c=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)c.push(u(-d)),c.push(u(d));for(c.push(u(0));c.length>0;){var v=c.pop(),g=v.x,y=v.y,m=v.fullyVisible;if(!m){var x=v.aabb.intersects(s);if(0===x)continue;m=2===x}var b=v.aabb.distanceX(o),_=v.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<<h-v.zoom)-2;if(v.zoom===h||w>T&&v.zoom>=l)f.push({tileID:new t.OverscaledTileID(v.zoom===h?p:v.zoom,v.wrap,v.zoom,g,y),distanceSq:t.sqrLen([o[0]-.5-g,o[1]-.5-y])});else for(var A=0;A<4;A++){var k=(g<<1)+A%2,M=(y<<1)+(A>>1);c.push({aabb:v.aabb.quadrant(A),zoom:v.zoom+1,x:k,y:M,wrap:v.wrap,fullyVisible:m})}}return f.sort(function(t,e){return t.distanceSq-e.distanceSq}).map(function(t){return t.tileID})},Sn.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},En.unmodified.get=function(){return this._unmodified},Sn.prototype.zoomScale=function(t){return Math.pow(2,t)},Sn.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},Sn.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},Sn.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},En.point.get=function(){return this.project(this.center)},Sn.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(e),o=new t.MercatorCoordinate(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},Sn.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},Sn.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},Sn.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},Sn.prototype.coordinateLocation=function(t){return t.toLngLat()},Sn.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,u=n[1]/a,c=r[2]/i,f=n[2]/a,h=c===f?0:(0-c)/(f-c);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,u,h)/this.worldSize)},Sn.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},Sn.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},Sn.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},Sn.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},Sn.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];var a=e.canonical,o=this.worldSize/this.zoomScale(a.z),s=a.x+Math.pow(2,a.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,a.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),i[n]=new Float32Array(l),i[n]},Sn.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},Sn.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,u=this.size,c=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-a<u.y?u.y/(o-a):0}if(this.lngRange){var h=this.lngRange;s=t.mercatorXfromLng(h[0])*this.worldSize,r=(l=t.mercatorXfromLng(h[1])*this.worldSize)-s<u.x?u.x/(l-s):0}var p=this.point,d=Math.max(r||0,e||0);if(d)return this.center=this.unproject(new t.Point(r?(l+s)/2:p.x,e?(o+a)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=c,void(this._constraining=!1);if(this.latRange){var v=p.y,g=u.y/2;v-g<a&&(i=a+g),v+g>o&&(i=o-g)}if(this.lngRange){var y=p.x,m=u.x/2;y-m<s&&(n=s+m),y+m>l&&(n=l-m)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=c,this._constraining=!1}},Sn.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,u=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),c=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,c,u),f[8]=2*-r.x/this.width,f[9]=2*r.y/this.height,t.scale(f,f,[1,-1,1]),t.translate(f,f,[0,0,-this.cameraToCenterDistance]),t.rotateX(f,f,this._pitch),t.rotateZ(f,f,this.angle),t.translate(f,f,[-s,-l,0]),this.mercatorMatrix=t.scale([],f,[this.worldSize,this.worldSize,this.worldSize]),t.scale(f,f,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=f,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),v=Math.sin(this.angle),g=s-Math.round(s)+d*h+v*p,y=l-Math.round(l)+d*p+v*h,m=new Float64Array(f);if(t.translate(m,m,[g>.5?g-1:g,y>.5?y-1:y,0]),this.alignedProjMatrix=m,f=t.create(),t.scale(f,f,[this.width/2,-this.height/2,1]),t.translate(f,f,[1,-1,0]),this.labelPlaneMatrix=f,f=t.create(),t.scale(f,f,[1,-1,1]),t.translate(f,f,[-1,-1,0]),t.scale(f,f,[2/this.width,2/this.height,1]),this.glCoordMatrix=f,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(f=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error("failed to invert matrix");this.pixelMatrixInverse=f,this._posMatrixCache={},this._alignedPosMatrixCache={}}},Sn.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},Sn.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},Sn.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var u=l[s];n=Math.min(n,u.x),i=Math.min(i,u.y),a=Math.max(a,u.x),o=Math.max(o,u.y)}return[new t.Point(n,i),new t.Point(a,i),new t.Point(a,o),new t.Point(n,o),new t.Point(n,i)]},Object.defineProperties(Sn.prototype,En);var Ln=function(e){var r,n,i,a,o;this._hashName=e&&encodeURIComponent(e),t.bindAll(["_getCurrentHash","_onHashChange","_updateHash"],this),this._updateHash=(r=this._updateHashUnthrottled.bind(this),n=300,i=!1,a=null,o=function(){a=null,i&&(r(),a=setTimeout(o,n),i=!1)},function(){return i=!0,a||o(),a})};Ln.prototype.addTo=function(e){return this._map=e,t.window.addEventListener("hashchange",this._onHashChange,!1),this._map.on("moveend",this._updateHash),this},Ln.prototype.remove=function(){return t.window.removeEventListener("hashchange",this._onHashChange,!1),this._map.off("moveend",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},Ln.prototype.getHashString=function(e){var r=this._map.getCenter(),n=Math.round(100*this._map.getZoom())/100,i=Math.ceil((n*Math.LN2+Math.log(512/360/.5))/Math.LN10),a=Math.pow(10,i),o=Math.round(r.lng*a)/a,s=Math.round(r.lat*a)/a,l=this._map.getBearing(),u=this._map.getPitch(),c="";if(c+=e?"/"+o+"/"+s+"/"+n:n+"/"+s+"/"+o,(l||u)&&(c+="/"+Math.round(10*l)/10),u&&(c+="/"+Math.round(u)),this._hashName){var f=this._hashName,h=!1,p=t.window.location.hash.slice(1).split("&").map(function(t){var e=t.split("=")[0];return e===f?(h=!0,e+"="+c):t}).filter(function(t){return t});return h||p.push(f+"="+c),"#"+p.join("&")}return"#"+c},Ln.prototype._getCurrentHash=function(){var e,r=this,n=t.window.location.hash.replace("#","");return this._hashName?(n.split("&").map(function(t){return t.split("=")}).forEach(function(t){t[0]===r._hashName&&(e=t)}),(e&&e[1]||"").split("/")):n.split("/")},Ln.prototype._onHashChange=function(){var t=this._getCurrentHash();if(t.length>=3&&!t.some(function(t){return isNaN(t)})){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},Ln.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,"",e)}catch(t){}};var Cn={linearity:.3,easing:t.bezier(0,0,.3,1)},Pn=t.extend({deceleration:2500,maxSpeed:1400},Cn),On=t.extend({deceleration:20,maxSpeed:1400},Cn),In=t.extend({deceleration:1e3,maxSpeed:360},Cn),Dn=t.extend({deceleration:1e3,maxSpeed:90},Cn),zn=function(t){this._map=t,this.clear()};function Rn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function Fn(e,r,n){var i=n.maxSpeed,a=n.linearity,o=n.deceleration,s=t.clamp(e*a/(r/1e3),-i,i),l=Math.abs(s)/(o*a);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}zn.prototype.clear=function(){this._inertiaBuffer=[]},zn.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},zn.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},zn.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n<i.length;n+=1){var a=i[n].settings;r.zoom+=a.zoomDelta||0,r.bearing+=a.bearingDelta||0,r.pitch+=a.pitchDelta||0,a.panDelta&&r.pan._add(a.panDelta),a.around&&(r.around=a.around),a.pinchAround&&(r.pinchAround=a.pinchAround)}var o=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,s={};if(r.pan.mag()){var l=Fn(r.pan.mag(),o,t.extend({},Pn,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,Rn(s,l)}if(r.zoom){var u=Fn(r.zoom,o,On);s.zoom=this._map.transform.zoom+u.amount,Rn(s,u)}if(r.bearing){var c=Fn(r.bearing,o,In);s.bearing=this._map.transform.bearing+t.clamp(c.amount,-179,179),Rn(s,c)}if(r.pitch){var f=Fn(r.pitch,o,Dn);s.pitch=this._map.transform.pitch+f.amount,Rn(s,f)}if(s.zoom||s.bearing){var h=void 0===r.pinchAround?r.around:r.pinchAround;s.around=h?this._map.unproject(h):this._map.getCenter()}return this.clear(),t.extend(s,{noMoveStart:!0})}};var Bn=function(e){function n(n,i,a,o){void 0===o&&(o={});var s=r.mousePos(i.getCanvasContainer(),a),l=i.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:a},o)),this._defaultPrevented=!1,this.target=i}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Nn=function(e){function n(n,i,a){var o="touchend"===n?a.changedTouches:a.touches,s=r.touchPos(i.getCanvasContainer(),o),l=s.map(function(t){return i.unproject(t)}),u=s.reduce(function(t,e,r,n){return t.add(e.div(n.length))},new t.Point(0,0)),c=i.unproject(u);e.call(this,n,{points:s,point:u,lngLats:l,lngLat:c,originalEvent:a}),this._defaultPrevented=!1}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),jn=function(t){function e(e,r,n){t.call(this,e,{originalEvent:n}),this._defaultPrevented=!1}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={defaultPrevented:{configurable:!0}};return e.prototype.preventDefault=function(){this._defaultPrevented=!0},r.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(e.prototype,r),e}(t.Event),Un=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};Un.prototype.reset=function(){delete this._mousedownPos},Un.prototype.wheel=function(t){return this._firePreventable(new jn(t.type,this._map,t))},Un.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new Bn(t.type,this._map,t))},Un.prototype.mouseup=function(t){this._map.fire(new Bn(t.type,this._map,t))},Un.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Bn(t.type,this._map,t))},Un.prototype.dblclick=function(t){return this._firePreventable(new Bn(t.type,this._map,t))},Un.prototype.mouseover=function(t){this._map.fire(new Bn(t.type,this._map,t))},Un.prototype.mouseout=function(t){this._map.fire(new Bn(t.type,this._map,t))},Un.prototype.touchstart=function(t){return this._firePreventable(new Nn(t.type,this._map,t))},Un.prototype.touchmove=function(t){this._map.fire(new Nn(t.type,this._map,t))},Un.prototype.touchend=function(t){this._map.fire(new Nn(t.type,this._map,t))},Un.prototype.touchcancel=function(t){this._map.fire(new Nn(t.type,this._map,t))},Un.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Un.prototype.isEnabled=function(){return!0},Un.prototype.isActive=function(){return!1},Un.prototype.enable=function(){},Un.prototype.disable=function(){};var Vn=function(t){this._map=t};Vn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},Vn.prototype.mousemove=function(t){this._map.fire(new Bn(t.type,this._map,t))},Vn.prototype.mousedown=function(){this._delayContextMenu=!0},Vn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Bn("contextmenu",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},Vn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Bn(t.type,this._map,t)),this._map.listens("contextmenu")&&t.preventDefault()},Vn.prototype.isEnabled=function(){return!0},Vn.prototype.isActive=function(){return!1},Vn.prototype.enable=function(){},Vn.prototype.disable=function(){};var Hn=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function qn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Hn.prototype.isEnabled=function(){return!!this._enabled},Hn.prototype.isActive=function(){return!!this._active},Hn.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Hn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Hn.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Hn.prototype.mousemoveWindow=function(t,e){if(this._active){var n=e;if(!(this._lastPos.equals(n)||!this._box&&n.dist(this._startPos)<this._clickTolerance)){var i=this._startPos;this._lastPos=n,this._box||(this._box=r.create("div","mapboxgl-boxzoom",this._container),this._container.classList.add("mapboxgl-crosshair"),this._fireEvent("boxzoomstart",t));var a=Math.min(i.x,n.x),o=Math.max(i.x,n.x),s=Math.min(i.y,n.y),l=Math.max(i.y,n.y);r.setTransform(this._box,"translate("+a+"px,"+s+"px)"),this._box.style.width=o-a+"px",this._box.style.height=l-s+"px"}}},Hn.prototype.mouseupWindow=function(e,n){var i=this;if(this._active&&0===e.button){var a=this._startPos,o=n;if(this.reset(),r.suppressClick(),a.x!==o.x||a.y!==o.y)return this._map.fire(new t.Event("boxzoomend",{originalEvent:e})),{cameraAnimation:function(t){return t.fitScreenCoordinates(a,o,i._map.getBearing(),{linear:!0})}};this._fireEvent("boxzoomcancel",e)}},Hn.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent("boxzoomcancel",t))},Hn.prototype.reset=function(){this._active=!1,this._container.classList.remove("mapboxgl-crosshair"),this._box&&(r.remove(this._box),this._box=null),r.enableDrag(),delete this._startPos,delete this._lastPos},Hn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var Gn=function(t){this.reset(),this.numTouches=t.numTouches};Gn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},Gn.prototype.touchstart=function(e,r,n){(this.centroid||n.length>this.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n<i.length;n+=1){var a=i[n];r._add(a)}return r.div(e.length)}(r),this.touches=qn(n,r)))},Gn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=qn(r,e);for(var i in this.touches){var a=this.touches[i],o=n[i];(!o||o.dist(a)>30)&&(this.aborted=!0)}}},Gn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var Yn=function(t){this.singleTap=new Gn(t),this.numTaps=t.numTaps,this.reset()};Yn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},Yn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},Yn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},Yn.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Wn=function(){this._zoomIn=new Yn({numTouches:1,numTaps:2}),this._zoomOut=new Yn({numTouches:2,numTaps:1}),this.reset()};Wn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Wn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Wn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Wn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout(function(){return n.reset()},0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout(function(){return n.reset()},0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Wn.prototype.touchcancel=function(){this.reset()},Wn.prototype.enable=function(){this._enabled=!0},Wn.prototype.disable=function(){this._enabled=!1,this.reset()},Wn.prototype.isEnabled=function(){return this._enabled},Wn.prototype.isActive=function(){return this._active};var Zn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Zn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Zn.prototype._correctButton=function(t,e){return!1},Zn.prototype._move=function(t,e){return{}},Zn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Zn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r&&(t.preventDefault(),this._moved||!(e.dist(r)<this._clickTolerance)))return this._moved=!0,this._lastPoint=e,this._move(r,e)},Zn.prototype.mouseupWindow=function(t){r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},Zn.prototype.enable=function(){this._enabled=!0},Zn.prototype.disable=function(){this._enabled=!1,this.reset()},Zn.prototype.isEnabled=function(){return this._enabled},Zn.prototype.isActive=function(){return this._active};var Xn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.mousedown=function(e,r){t.prototype.mousedown.call(this,e,r),this._lastPoint&&(this._active=!0)},e.prototype._correctButton=function(t,e){return 0===e&&!t.ctrlKey},e.prototype._move=function(t,e){return{around:e,panDelta:e.sub(t)}},e}(Zn),Jn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=.8*(e.x-t.x);if(r)return this._active=!0,{bearingDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Zn),Kn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=-.5*(e.y-t.y);if(r)return this._active=!0,{pitchDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Zn),$n=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};$n.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},$n.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},$n.prototype.touchmove=function(t,e,r){if(this._active)return t.preventDefault(),this._calculateTransform(t,e,r)},$n.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},$n.prototype.touchcancel=function(){this.reset()},$n.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var i=qn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var u=i[l],c=this._touches[l];c&&(a._add(u),o._add(u.sub(c)),s++,i[l]=u)}if(this._touches=i,!(s<this._minTouches)&&o.mag()){var f=o.div(s);if(this._sum._add(f),!(this._sum.mag()<this._clickTolerance))return{around:a.div(s),panDelta:f}}},$n.prototype.enable=function(){this._enabled=!0},$n.prototype.disable=function(){this._enabled=!1,this.reset()},$n.prototype.isEnabled=function(){return this._enabled},$n.prototype.isActive=function(){return this._active};var Qn=function(){this.reset()};function ti(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}Qn.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},Qn.prototype._start=function(t){},Qn.prototype._move=function(t,e,r){return{}},Qn.prototype.touchstart=function(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]))},Qn.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,i=n[0],a=n[1],o=ti(r,e,i),s=ti(r,e,a);if(o&&s){var l=this._aroundCenter?null:o.add(s).div(2);return this._move([o,s],l,t)}}},Qn.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var i=this._firstTwoTouches,a=i[0],o=i[1],s=ti(n,e,a),l=ti(n,e,o);s&&l||(this._active&&r.suppressClick(),this.reset())}},Qn.prototype.touchcancel=function(){this.reset()},Qn.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&"center"===t.around},Qn.prototype.disable=function(){this._enabled=!1,this.reset()},Qn.prototype.isEnabled=function(){return this._enabled},Qn.prototype.isActive=function(){return this._active};function ei(t,e){return Math.log(t/e)/Math.LN2}var ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._distance,delete this._startDistance},e.prototype._start=function(t){this._startDistance=this._distance=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs(ei(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:ei(this._distance,r),pinchAround:e}},e}(Qn);function ni(t,e){return 180*t.angleWith(e)/Math.PI}var ii=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},e.prototype._start=function(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:ni(this._vector,r),pinchAround:e}},e.prototype._isBelowThreshold=function(t){this._minDiameter=Math.min(this._minDiameter,t.mag());var e=25/(Math.PI*this._minDiameter)*360,r=ni(t,this._startVector);return Math.abs(r)<e},e}(Qn);function ai(t){return Math.abs(t.y)>Math.abs(t.x)}var oi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,ai(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid)return this._lastPoints=t,this._active=!0,{pitchDelta:(n.y+i.y)/2*-.5}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return ai(t)&&ai(e)&&a}},e}(Qn),si={panStep:100,bearingStep:15,pitchStep:10},li=function(){var t=si;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep};function ui(t){return t*(2-t)}li.prototype.reset=function(){this._active=!1},li.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:"keyboardHandler",easing:ui,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},li.prototype.enable=function(){this._enabled=!0},li.prototype.disable=function(){this._enabled=!1,this.reset()},li.prototype.isEnabled=function(){return this._enabled},li.prototype.isActive=function(){return this._active};var ci=4.000244140625,fi=1/450,hi=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=fi,t.bindAll(["_onWheel","_onTimeout","_onScrollFrame","_onScrollFinished"],this)};hi.prototype.setZoomRate=function(t){this._defaultZoomRate=t},hi.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},hi.prototype.isEnabled=function(){return!!this._enabled},hi.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},hi.prototype.isZooming=function(){return!!this._zooming},hi.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&"center"===t.around)},hi.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},hi.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%ci===0?this._type="wheel":0!==r&&Math.abs(r)<4?this._type="trackpad":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?"trackpad":"wheel",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},hi.prototype._onTimeout=function(t){this._type="wheel",this._delta-=this._lastValue,this._active||this._start(t)},hi.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},hi.prototype.renderFrame=function(){return this._onScrollFrame()},hi.prototype._onScrollFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n="wheel"===this._type&&Math.abs(this._delta)>ci?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a="number"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),"wheel"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s="number"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,u=this._easing,c=!1;if("wheel"===this._type&&l&&u){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=u(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):c=!0}else o=s,c=!0;return this._active=!0,c&&(this._active=!1,this._finishTimeout=setTimeout(function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout},200)),{noInertia:!0,needsRenderFrame:!c,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},hi.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},hi.prototype.reset=function(){this._active=!1};var pi=function(t,e){this._clickZoom=t,this._tapZoom=e};pi.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},pi.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},pi.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},pi.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var di=function(){this.reset()};di.prototype.reset=function(){this._active=!1},di.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},di.prototype.enable=function(){this._enabled=!0},di.prototype.disable=function(){this._enabled=!1,this.reset()},di.prototype.isEnabled=function(){return this._enabled},di.prototype.isActive=function(){return this._active};var vi=function(){this._tap=new Yn({numTouches:1,numTaps:1}),this.reset()};vi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},vi.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},vi.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},vi.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},vi.prototype.touchcancel=function(){this.reset()},vi.prototype.enable=function(){this._enabled=!0},vi.prototype.disable=function(){this._enabled=!1,this.reset()},vi.prototype.isEnabled=function(){return this._enabled},vi.prototype.isActive=function(){return this._active};var gi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};gi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add("mapboxgl-touch-drag-pan")},gi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove("mapboxgl-touch-drag-pan")},gi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},gi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var yi=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};yi.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},yi.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},yi.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},yi.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var mi=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};mi.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add("mapboxgl-touch-zoom-rotate")},mi.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove("mapboxgl-touch-zoom-rotate")},mi.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},mi.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},mi.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},mi.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var xi=function(t){return t.zoom||t.drag||t.pitch||t.rotate},bi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function _i(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var wi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new zn(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll(["handleEvent","handleWindowEvent"],this);var i=this._el;this._listeners=[[i,"touchstart",{passive:!1}],[i,"touchmove",{passive:!1}],[i,"touchend",void 0],[i,"touchcancel",void 0],[i,"mousedown",void 0],[i,"mousemove",void 0],[i,"mouseup",void 0],[t.window.document,"mousemove",{capture:!0}],[t.window.document,"mouseup",void 0],[i,"mouseover",void 0],[i,"mouseout",void 0],[i,"dblclick",void 0],[i,"click",void 0],[i,"keydown",{capture:!1}],[i,"keyup",void 0],[i,"wheel",{passive:!1}],[i,"contextmenu",void 0],[t.window,"blur",void 0]];for(var a=0,o=this._listeners;a<o.length;a+=1){var s=o[a],l=s[0],u=s[1],c=s[2];r.addEventListener(l,u,l===t.window.document?this.handleWindowEvent:this.handleEvent,c)}};wi.prototype.destroy=function(){for(var e=0,n=this._listeners;e<n.length;e+=1){var i=n[e],a=i[0],o=i[1],s=i[2];r.removeEventListener(a,o,a===t.window.document?this.handleWindowEvent:this.handleEvent,s)}},wi.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add("mapEvent",new Un(e,t));var n=e.boxZoom=new Hn(e,t);this._add("boxZoom",n);var i=new Wn,a=new di;e.doubleClickZoom=new pi(a,i),this._add("tapZoom",i),this._add("clickZoom",a);var o=new vi;this._add("tapDragZoom",o);var s=e.touchPitch=new oi;this._add("touchPitch",s);var l=new Jn(t),u=new Kn(t);e.dragRotate=new yi(t,l,u),this._add("mouseRotate",l,["mousePitch"]),this._add("mousePitch",u,["mouseRotate"]);var c=new Xn(t),f=new $n(t);e.dragPan=new gi(r,c,f),this._add("mousePan",c),this._add("touchPan",f,["touchZoom","touchRotate"]);var h=new ii,p=new ri;e.touchZoomRotate=new mi(r,p,h,o),this._add("touchRotate",h,["touchPan","touchZoom"]),this._add("touchZoom",p,["touchPan","touchRotate"]);var d=e.scrollZoom=new hi(e,this);this._add("scrollZoom",d,["mousePan"]);var v=e.keyboard=new li;this._add("keyboard",v),this._add("blockableMapEvent",new Vn(e));for(var g=0,y=["boxZoom","doubleClickZoom","tapDragZoom","touchPitch","dragRotate","dragPan","touchZoomRotate","scrollZoom","keyboard"];g<y.length;g+=1){var m=y[g];t.interactive&&t[m]&&e[m].enable(t[m])}},wi.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},wi.prototype.stop=function(){if(!this._updatingCamera){for(var t=0,e=this._handlers;t<e.length;t+=1)e[t].handler.reset();this._inertia.clear(),this._fireEvents({},{}),this._changes=[]}},wi.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1)if(e[t].handler.isActive())return!0;return!1},wi.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},wi.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},wi.prototype.isMoving=function(){return Boolean(xi(this._eventsInProgress))||this.isZooming()},wi.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},wi.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+"Window")},wi.prototype._getMapTouches=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=i.target;this._el.contains(a)&&e.push(i)}return e},wi.prototype.handleEvent=function(t,e){if("blur"!==t.type){this._updatingCamera=!0;for(var n="renderFrame"===t.type?void 0:t,i={needsRenderFrame:!1},a={},o={},s=t.touches?this._getMapTouches(t.touches):void 0,l=s?r.touchPos(this._el,s):r.mousePos(this._el,t),u=0,c=this._handlers;u<c.length;u+=1){var f=c[u],h=f.handlerName,p=f.handler,d=f.allowed;if(p.isEnabled()){var v=void 0;this._blockedByActive(o,d,h)?p.reset():p[e||t.type]&&(v=p[e||t.type](t,l,s),this.mergeHandlerResult(i,a,v,h,n),v&&v.needsRenderFrame&&this._triggerRenderFrame()),(v||p.isActive())&&(o[h]=p)}}var g={};for(var y in this._previousActiveHandlers)o[y]||(g[y]=n);this._previousActiveHandlers=o,(Object.keys(g).length||_i(i))&&(this._changes.push([i,a,g]),this._triggerRenderFrame()),(Object.keys(o).length||_i(i))&&this._map._stop(!0),this._updatingCamera=!1;var m=i.cameraAnimation;m&&(this._inertia.clear(),this._fireEvents({},{}),this._changes=[],m(this._map))}else this.stop()},wi.prototype.mergeHandlerResult=function(e,r,n,i,a){if(n){t.extend(e,n);var o={handlerName:i,originalEvent:n.originalEvent||a};void 0!==n.zoomDelta&&(r.zoom=o),void 0!==n.panDelta&&(r.drag=o),void 0!==n.pitchDelta&&(r.pitch=o),void 0!==n.bearingDelta&&(r.rotate=o)}},wi.prototype._applyChanges=function(){for(var e={},r={},n={},i=0,a=this._changes;i<a.length;i+=1){var o=a[i],s=o[0],l=o[1],u=o[2];s.panDelta&&(e.panDelta=(e.panDelta||new t.Point(0,0))._add(s.panDelta)),s.zoomDelta&&(e.zoomDelta=(e.zoomDelta||0)+s.zoomDelta),s.bearingDelta&&(e.bearingDelta=(e.bearingDelta||0)+s.bearingDelta),s.pitchDelta&&(e.pitchDelta=(e.pitchDelta||0)+s.pitchDelta),void 0!==s.around&&(e.around=s.around),void 0!==s.pinchAround&&(e.pinchAround=s.pinchAround),s.noInertia&&(e.noInertia=s.noInertia),t.extend(r,l),t.extend(n,u)}this._updateMapTransform(e,r,n),this._changes=[]},wi.prototype._updateMapTransform=function(t,e,r){var n=this._map,i=n.transform;if(!_i(t))return this._fireEvents(e,r);var a=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,u=t.around,c=t.pinchAround;void 0!==c&&(u=c),n._stop(!0),u=u||n.transform.centerPoint;var f=i.pointLocation(a?u.sub(a):u);s&&(i.bearing+=s),l&&(i.pitch+=l),o&&(i.zoom+=o),i.setLocationAtPoint(f,u),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r)},wi.prototype._fireEvents=function(e,r){var n=this,i=xi(this._eventsInProgress),a=xi(e),o={};for(var s in e){var l=e[s].originalEvent;this._eventsInProgress[s]||(o[s+"start"]=l),this._eventsInProgress[s]=e[s]}for(var u in!i&&a&&this._fireEvent("movestart",a.originalEvent),o)this._fireEvent(u,o[u]);for(var c in e.rotate&&(this._bearingChanged=!0),a&&this._fireEvent("move",a.originalEvent),e){var f=e[c].originalEvent;this._fireEvent(c,f)}var h,p={};for(var d in this._eventsInProgress){var v=this._eventsInProgress[d],g=v.handlerName,y=v.originalEvent;this._handlersById[g].isActive()||(delete this._eventsInProgress[d],h=r[g]||y,p[d+"end"]=h)}for(var m in p)this._fireEvent(m,p[m]);var x=xi(this._eventsInProgress);if((i||a)&&!x){this._updatingCamera=!0;var b=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),_=function(t){return 0!==t&&-n._bearingSnap<t&&t<n._bearingSnap};b?(_(b.bearing||this._map.getBearing())&&(b.bearing=0),this._map.easeTo(b,{originalEvent:h})):(this._map.fire(new t.Event("moveend",{originalEvent:h})),_(this._map.getBearing())&&this._map.resetNorth()),this._bearingChanged=!1,this._updatingCamera=!1}},wi.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},wi.prototype._triggerRenderFrame=function(){var t=this;void 0===this._frameId&&(this._frameId=this._map._requestRenderFrame(function(e){delete t._frameId,t.handleEvent(new bi("renderFrame",{timeStamp:e})),t._applyChanges()}))};var Ti=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll(["_renderFrameCallback"],this)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.getPadding=function(){return this.transform.padding},r.prototype.setPadding=function(t,e){return this.jumpTo({padding:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){return e=t.LngLatBounds.convert(e),this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),0,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,i){var a={top:0,bottom:0,right:0,left:0};if("number"==typeof(i=t.extend({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){var o=i.padding;i.padding={top:o,bottom:o,right:o,left:o}}i.padding=t.extend(a,i.padding);var s=this.transform,l=s.padding,u=s.project(t.LngLat.convert(e)),c=s.project(t.LngLat.convert(r)),f=u.rotate(-n*Math.PI/180),h=c.rotate(-n*Math.PI/180),p=new t.Point(Math.max(f.x,h.x),Math.max(f.y,h.y)),d=new t.Point(Math.min(f.x,h.x),Math.min(f.y,h.y)),v=p.sub(d),g=(s.width-(l.left+l.right+i.padding.left+i.padding.right))/v.x,y=(s.height-(l.top+l.bottom+i.padding.top+i.padding.bottom))/v.y;if(!(y<0||g<0)){var m=Math.min(s.scaleZoom(s.scale*Math.min(g,y)),i.maxZoom),x=t.Point.convert(i.offset),b=(i.padding.left-i.padding.right)/2,_=(i.padding.top-i.padding.bottom)/2,w=new t.Point(x.x+b,x.y+_).mult(s.scale/s.zoomScale(m));return{center:s.unproject(u.add(c).div(2).sub(w)),zoom:m,bearing:n}}t.warnOnce("Map cannot fit within canvas with the given bounds, padding, and/or offset.")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,i,a){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,i),i,a)},r.prototype._fitInternal=function(e,r,n){return e?(delete(r=t.extend(e,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,i=!1,a=!1,o=!1;return"zoom"in e&&n.zoom!==+e.zoom&&(i=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),"bearing"in e&&n.bearing!==+e.bearing&&(a=!0,n.bearing=+e.bearing),"pitch"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),null==e.padding||n.isPaddingEqual(e.padding)||(n.padding=e.padding),this.fire(new t.Event("movestart",r)).fire(new t.Event("move",r)),i&&this.fire(new t.Event("zoomstart",r)).fire(new t.Event("zoom",r)).fire(new t.Event("zoomend",r)),a&&this.fire(new t.Event("rotatestart",r)).fire(new t.Event("rotate",r)).fire(new t.Event("rotateend",r)),o&&this.fire(new t.Event("pitchstart",r)).fire(new t.Event("pitch",r)).fire(new t.Event("pitchend",r)),this.fire(new t.Event("moveend",r))},r.prototype.easeTo=function(e,r){var n=this;this._stop(!1,e.easeId),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||!e.essential&&t.browser.prefersReducedMotion)&&(e.duration=0);var i=this.transform,a=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=this.getPadding(),u="zoom"in e?+e.zoom:a,c="bearing"in e?this._normalizeBearing(e.bearing,o):o,f="pitch"in e?+e.pitch:s,h="padding"in e?e.padding:i.padding,p=t.Point.convert(e.offset),d=i.centerPoint.add(p),v=i.pointLocation(d),g=t.LngLat.convert(e.center||v);this._normalizeCenter(g);var y,m,x=i.project(v),b=i.project(g).sub(x),_=i.zoomScale(u-a);e.around&&(y=t.LngLat.convert(e.around),m=i.locationPoint(y));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||u!==a,this._rotating=this._rotating||o!==c,this._pitching=this._pitching||f!==s,this._padding=!i.isPaddingEqual(h),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),clearTimeout(this._easeEndTimeoutID),this._ease(function(e){if(n._zooming&&(i.zoom=t.number(a,u,e)),n._rotating&&(i.bearing=t.number(o,c,e)),n._pitching&&(i.pitch=t.number(s,f,e)),n._padding&&(i.interpolatePadding(l,h,e),d=i.centerPoint.add(p)),y)i.setLocationAtPoint(y,m);else{var v=i.zoomScale(i.zoom-a),g=u>a?Math.min(2,_):Math.max(.5,_),w=Math.pow(g,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(v));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)},function(t){n._afterEase(r,t)},e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event("movestart",e)),this._zooming&&!n.zooming&&this.fire(new t.Event("zoomstart",e)),this._rotating&&!n.rotating&&this.fire(new t.Event("rotatestart",e)),this._pitching&&!n.pitching&&this.fire(new t.Event("pitchstart",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event("move",e)),this._zooming&&this.fire(new t.Event("zoom",e)),this._rotating&&this.fire(new t.Event("rotate",e)),this._pitching&&this.fire(new t.Event("pitch",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event("zoomend",e)),i&&this.fire(new t.Event("rotateend",e)),a&&this.fire(new t.Event("pitchend",e)),this.fire(new t.Event("moveend",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,["center","zoom","bearing","pitch","around"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),u=this.getPadding(),c="zoom"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f="bearing"in e?this._normalizeBearing(e.bearing,s):s,h="pitch"in e?+e.pitch:l,p="padding"in e?e.padding:a.padding,d=a.zoomScale(c-o),v=t.Point.convert(e.offset),g=a.centerPoint.add(v),y=a.pointLocation(g),m=t.LngLat.convert(e.center||y);this._normalizeCenter(m);var x=a.project(y),b=a.project(m).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,A=b.mag();if("minZoom"in e){var k=t.clamp(Math.min(e.minZoom,o,c),a.minZoom,a.maxZoom),M=w/a.zoomScale(k-o);_=Math.sqrt(M/A*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*A*A)/(2*(t?T:w)*S*A);return Math.log(Math.sqrt(e*e+1)-e)}function L(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),O=function(t){return C(P)/C(P+_*t)},I=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/A;var e},D=(E(1)-P)/_;if(Math.abs(A)<1e-6||!isFinite(D)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var z=T<w?-1:1;D=Math.abs(Math.log(T/w))/_,I=function(){return 0},O=function(t){return Math.exp(z*_*t)}}if("duration"in e)e.duration=+e.duration;else{var R="screenSpeed"in e?+e.screenSpeed/_:+e.speed;e.duration=1e3*D/R}return e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease(function(e){var i=e*D,d=1/O(i);a.zoom=1===e?c:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(u,p,e),g=a.centerPoint.add(v));var y=1===e?m:a.unproject(x.add(b.mult(I(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?y.wrap():y,g),n._fireMoveEvents(r)},function(){return n._afterEase(r)},e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop()}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)<n&&(e-=360),Math.abs(e+360-r)<n&&(e+=360),e},r.prototype._normalizeCenter=function(t){var e=this.transform;if(e.renderWorldCopies&&!e.lngRange){var r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}},r}(t.Evented),Ai=function(e){void 0===e&&(e={}),this.options=e,t.bindAll(["_updateEditLink","_updateData","_updateCompact"],this)};Ai.prototype.getDefaultPosition=function(){return"bottom-right"},Ai.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-attrib"),this._innerContainer=r.create("div","mapboxgl-ctrl-attrib-inner",this._container),e&&this._container.classList.add("mapboxgl-compact"),this._updateAttributions(),this._updateEditLink(),this._map.on("styledata",this._updateData),this._map.on("sourcedata",this._updateData),this._map.on("moveend",this._updateEditLink),void 0===e&&(this._map.on("resize",this._updateCompact),this._updateCompact()),this._container},Ai.prototype.onRemove=function(){r.remove(this._container),this._map.off("styledata",this._updateData),this._map.off("sourcedata",this._updateData),this._map.off("moveend",this._updateEditLink),this._map.off("resize",this._updateCompact),this._map=void 0,this._attribHTML=void 0},Ai.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(".mapbox-improve-map"));var r=[{key:"owner",value:this.styleOwner},{key:"id",value:this.styleId},{key:"access_token",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce(function(t,e,n){return e.value&&(t+=e.key+"="+e.value+(n<r.length-1?"&":"")),t},"?");e.href=t.config.FEEDBACK_URL+"/"+n+(this._map._hash?this._map._hash.getHashString(!0):""),e.rel="noopener nofollow"}},Ai.prototype._updateData=function(t){!t||"metadata"!==t.sourceDataType&&"style"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},Ai.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map(function(t){return"string"!=typeof t?"":t})):"string"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){var e=this._map.style.stylesheet;this.styleOwner=e.owner,this.styleId=e.id}var r=this._map.style.sourceCaches;for(var n in r){var i=r[n];if(i.used){var a=i.getSource();a.attribution&&t.indexOf(a.attribution)<0&&t.push(a.attribution)}}t.sort(function(t,e){return t.length-e.length});var o=(t=t.filter(function(e,r){for(var n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0})).join(" | ");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove("mapboxgl-attrib-empty")):this._container.classList.add("mapboxgl-attrib-empty"),this._editLink=null)}},Ai.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add("mapboxgl-compact"):this._container.classList.remove("mapboxgl-compact")};var ki=function(){t.bindAll(["_updateLogo"],this),t.bindAll(["_updateCompact"],this)};ki.prototype.onAdd=function(t){this._map=t,this._container=r.create("div","mapboxgl-ctrl");var e=r.create("a","mapboxgl-ctrl-logo");return e.target="_blank",e.rel="noopener nofollow",e.href="https://www.mapbox.com/",e.setAttribute("aria-label",this._map._getUIString("LogoControl.Title")),e.setAttribute("rel","noopener nofollow"),this._container.appendChild(e),this._container.style.display="none",this._map.on("sourcedata",this._updateLogo),this._updateLogo(),this._map.on("resize",this._updateCompact),this._updateCompact(),this._container},ki.prototype.onRemove=function(){r.remove(this._container),this._map.off("sourcedata",this._updateLogo),this._map.off("resize",this._updateCompact)},ki.prototype.getDefaultPosition=function(){return"bottom-left"},ki.prototype._updateLogo=function(t){t&&"metadata"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?"block":"none")},ki.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t)if(t[e].getSource().mapbox_logo)return!0;return!1}},ki.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add("mapboxgl-compact"):e.classList.remove("mapboxgl-compact")}};var Mi=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};Mi.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},Mi.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;r<n.length;r+=1){var i=n[r];if(i.id===t)return void(i.cancelled=!0)}},Mi.prototype.run=function(t){void 0===t&&(t=0);var e=this._currentlyRunning=this._queue;this._queue=[];for(var r=0,n=e;r<n.length;r+=1){var i=n[r];if(!i.cancelled&&(i.callback(t),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},Mi.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Si={"FullscreenControl.Enter":"Enter fullscreen","FullscreenControl.Exit":"Exit fullscreen","GeolocateControl.FindMyLocation":"Find my location","GeolocateControl.LocationNotAvailable":"Location not available","LogoControl.Title":"Mapbox logo","NavigationControl.ResetBearing":"Reset bearing to north","NavigationControl.ZoomIn":"Zoom in","NavigationControl.ZoomOut":"Zoom out","ScaleControl.Feet":"ft","ScaleControl.Meters":"m","ScaleControl.Kilometers":"km","ScaleControl.Miles":"mi","ScaleControl.NauticalMiles":"nm"},Ei=t.window.HTMLImageElement,Li=t.window.HTMLElement,Ci=t.window.ImageBitmap,Pi=60,Oi={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:Pi,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,bearingSnap:7,clickTolerance:3,pitchWithRotate:!0,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:"sans-serif",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},Ii=function(n){function i(e){var r=this;if(null!=(e=t.extend({},Oi,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error("maxZoom must be greater than or equal to minZoom");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error("maxPitch must be greater than or equal to minPitch");if(null!=e.minPitch&&e.minPitch<0)throw new Error("minPitch must be greater than or equal to 0");if(null!=e.maxPitch&&e.maxPitch>Pi)throw new Error("maxPitch must be less than or equal to 60");var i=new Sn(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new Mi,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Si,e.locale),this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),"string"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error("Container '"+e.container+"' not found.")}else{if(!(e.container instanceof Li))throw new Error("Invalid type: 'container' must be a String or HTMLElement.");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll(["_onWindowOnline","_onWindowResize","_contextLost","_contextRestored"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error("Failed to initialize WebGL.");this.on("move",function(){return r._update(!1)}),this.on("moveend",function(){return r._update(!1)}),this.on("zoom",function(){return r._update(!0)}),void 0!==t.window&&(t.window.addEventListener("online",this._onWindowOnline,!1),t.window.addEventListener("resize",this._onWindowResize,!1)),this.handlers=new wi(this,e);var a="string"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new Ln(a).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new Ai({customAttribution:e.customAttribution})),this.addControl(new ki,e.logoPosition),this.on("style.load",function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)}),this.on("data",function(e){r._update("style"===e.dataType),r.fire(new t.Event(e.dataType+"data",e))}),this.on("dataloading",function(e){r.fire(new t.Event(e.dataType+"dataloading",e))})}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&e.getDefaultPosition&&(r=e.getDefaultPosition()),void 0===r&&(r="top-right"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error("Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf("bottom")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error("Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event("movestart",e)).fire(new t.Event("move",e))),this.fire(new t.Event("resize",e)),a&&this.fire(new t.Event("moveend",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error("minZoom must be between -2 and the current maxZoom, inclusive")},i.prototype.getMinZoom=function(){return this.transform.minZoom},i.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error("maxZoom must be greater than the current minZoom")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error("minPitch must be greater than or equal to 0");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error("minPitch must be between 0 and the current maxPitch, inclusive")},i.prototype.getMinPitch=function(){return this.transform.minPitch},i.prototype.setMaxPitch=function(t){if((t=null==t?Pi:t)>Pi)throw new Error("maxPitch must be less than or equal to 60");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error("maxPitch must be greater than the current minPitch")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if("mouseenter"===t||"mouseover"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new Bn(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if("mouseleave"===t||"mouseout"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new Bn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Bn(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o<a.length;o++){var s=a[o];if(s.layer===e&&s.listener===r){for(var l in s.delegates)i.off(l,s.delegates[l]);return a.splice(o,1),i}}}(this._delegatedListeners),this},i.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return[];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||"number"==typeof e[0])n=[t.Point.convert(e)];else{var i=t.Point.convert(e[0]),a=t.Point.convert(e[1]);n=[i,new t.Point(a.x,i.y),a,new t.Point(i.x,a.y),i]}return this.style.queryRenderedFeatures(n,r,this.transform)},i.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},i.prototype.setStyle=function(e,r){return!1!==(r=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},i.prototype._getUIString=function(t){var e=this._locale[t];if(null==e)throw new Error("Missing UI string '"+t+"'");return e},i.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new We(this,e||{}),this.style.setEventedParent(this,{style:this.style}),"string"==typeof t?this.style.loadURL(t):this.style.loadJSON(t),this):(delete this.style,this)},i.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new We(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},i.prototype._diffStyle=function(e,r){var n=this;if("string"==typeof e){var i=this._requestManager.normalizeStyleURL(e),a=this._requestManager.transformRequest(i,t.ResourceType.Style);t.getJSON(a,function(e,i){e?n.fire(new t.ErrorEvent(e)):i&&n._updateDiff(i,r)})}else"object"==typeof e&&this._updateDiff(e,r)},i.prototype._updateDiff=function(e,r){try{this.style.setState(e)&&this._update(!0)}catch(n){t.warnOnce("Unable to perform style diff: "+(n.message||n.error||n)+".  Rebuilding the style from scratch."),this._updateStyle(e,r)}},i.prototype.getStyle=function(){if(this.style)return this.style.serialize()},i.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce("There is no style added to the map.")},i.prototype.addSource=function(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)},i.prototype.isSourceLoaded=function(e){var r=this.style&&this.style.sourceCaches[e];if(void 0!==r)return r.loaded();this.fire(new t.ErrorEvent(new Error("There is no source with ID '"+e+"'")))},i.prototype.areTilesLoaded=function(){var t=this.style&&this.style.sourceCaches;for(var e in t){var r=t[e]._tiles;for(var n in r){var i=r[n];if("loaded"!==i.state&&"errored"!==i.state)return!1}}return!0},i.prototype.addSourceType=function(t,e,r){return this._lazyInitEmptyStyle(),this.style.addSourceType(t,e,r)},i.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},i.prototype.getSource=function(t){return this.style.getSource(t)},i.prototype.addImage=function(e,r,n){void 0===n&&(n={});var i=n.pixelRatio;void 0===i&&(i=1);var a=n.sdf;void 0===a&&(a=!1);var o=n.stretchX,s=n.stretchY,l=n.content;this._lazyInitEmptyStyle();if(r instanceof Ei||Ci&&r instanceof Ci){var u=t.browser.getImageData(r),c=u.width,f=u.height,h=u.data;this.style.addImage(e,{data:new t.RGBAImage({width:c,height:f},h),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0})}else{if(void 0===r.width||void 0===r.height)return this.fire(new t.ErrorEvent(new Error("Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`")));var p=r.width,d=r.height,v=r.data,g=r;this.style.addImage(e,{data:new t.RGBAImage({width:p,height:d},new Uint8Array(v)),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0,userImage:g}),g.onAdd&&g.onAdd(this,e)}},i.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error("The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.")));var i=r instanceof Ei||Ci&&r instanceof Ci?t.browser.getImageData(r):r,a=i.width,o=i.height,s=i.data;if(void 0===a||void 0===o)return this.fire(new t.ErrorEvent(new Error("Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`")));if(a!==n.data.width||o!==n.data.height)return this.fire(new t.ErrorEvent(new Error("The width and height of the updated image must be that same as the previous version of the image")));var l=!(r instanceof Ei||Ci&&r instanceof Ci);n.data.replace(s,l),this.style.updateImage(e,n)},i.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error("Missing required image id"))),!1)},i.prototype.removeImage=function(t){this.style.removeImage(t)},i.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},i.prototype.listImages=function(){return this.style.listImages()},i.prototype.addLayer=function(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)},i.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},i.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},i.prototype.getLayer=function(t){return this.style.getLayer(t)},i.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},i.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},i.prototype.getFilter=function(t){return this.style.getFilter(t)},i.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},i.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},i.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},i.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},i.prototype.setLight=function(t,e){return void 0===e&&(e={}),this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)},i.prototype.getLight=function(){return this.style.getLight()},i.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},i.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},i.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},i.prototype.getContainer=function(){return this._container},i.prototype.getCanvasContainer=function(){return this._canvasContainer},i.prototype.getCanvas=function(){return this._canvas},i.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},i.prototype._detectMissingCSS=function(){"rgb(250, 128, 114)"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue("background-color")&&t.warnOnce("This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.")},i.prototype._setupContainer=function(){var t=this._container;t.classList.add("mapboxgl-map"),(this._missingCSSCanary=r.create("div","mapboxgl-canary",t)).style.visibility="hidden",this._detectMissingCSS();var e=this._canvasContainer=r.create("div","mapboxgl-canvas-container",t);this._interactive&&e.classList.add("mapboxgl-interactive"),this._canvas=r.create("canvas","mapboxgl-canvas",e),this._canvas.addEventListener("webglcontextlost",this._contextLost,!1),this._canvas.addEventListener("webglcontextrestored",this._contextRestored,!1),this._canvas.setAttribute("tabindex","0"),this._canvas.setAttribute("aria-label","Map");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var i=this._controlContainer=r.create("div","mapboxgl-control-container",t),a=this._controlPositions={};["top-left","top-right","bottom-left","bottom-right"].forEach(function(t){a[t]=r.create("div","mapboxgl-ctrl-"+t,i)})},i.prototype._resizeCanvas=function(e,r){var n=t.browser.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+"px",this._canvas.style.height=r+"px"},i.prototype._setupPainter=function(){var r=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),n=this._canvas.getContext("webgl",r)||this._canvas.getContext("experimental-webgl",r);n?(this.painter=new Tn(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error("Failed to initialize WebGL")))},i.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event("webglcontextlost",{originalEvent:e}))},i.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event("webglcontextrestored",{originalEvent:e}))},i.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},i.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},i.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},i.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},i.prototype._render=function(e){var r,n=this,i=0,a=this.painter.context.extTimerQuery;if(this.listens("gpu-timing-frame")&&(r=a.createQueryEXT(),a.beginQueryEXT(a.TIME_ELAPSED_EXT,r),i=t.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(e),!this._removed){var o=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var s=this.transform.zoom,l=t.browser.now();this.style.zoomHistory.update(s,l);var u=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),c=u.crossFadingFactor();1===c&&c===this._crossFadingFactor||(o=!0,this._crossFadingFactor=c),this.style.update(u)}if(this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration,showPadding:this.showPadding,gpuTiming:!!this.listens("gpu-timing-layer")}),this.fire(new t.Event("render")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event("load"))),this.style&&(this.style.hasTransitions()||o)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens("gpu-timing-frame")){var f=t.browser.now()-i;a.endQueryEXT(a.TIME_ELAPSED_EXT,r),setTimeout(function(){var e=a.getQueryObjectEXT(r,a.QUERY_RESULT_EXT)/1e6;a.deleteQueryEXT(r),n.fire(new t.Event("gpu-timing-frame",{cpuTime:f,gpuTime:e}))},50)}if(this.listens("gpu-timing-layer")){var h=this.painter.collectGpuTimers();setTimeout(function(){var e=n.painter.queryGpuTimers(h);n.fire(new t.Event("gpu-timing-layer",{layerTimes:e}))},50)}return this._sourcesDirty||this._styleDirty||this._placementDirty||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&(this._fullyLoaded||(this._fullyLoaded=!0),this.fire(new t.Event("idle"))),this}},i.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1)r[e].onRemove(this);this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener("resize",this._onWindowResize,!1),t.window.removeEventListener("online",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension("WEBGL_lose_context");n&&n.loseContext(),Di(this._canvasContainer),Di(this._controlContainer),Di(this._missingCSSCanary),this._container.classList.remove("mapboxgl-map"),this._removed=!0,this.fire(new t.Event("remove"))},i.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame(function(t){e._frame=null,e._render(t)}))},i.prototype._onWindowOnline=function(){this._update()},i.prototype._onWindowResize=function(t){this._trackResize&&this.resize({originalEvent:t})._update()},a.showTileBoundaries.get=function(){return!!this._showTileBoundaries},a.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},a.showPadding.get=function(){return!!this._showPadding},a.showPadding.set=function(t){this._showPadding!==t&&(this._showPadding=t,this._update())},a.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},a.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},a.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},a.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},a.repaint.get=function(){return!!this._repaint},a.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},a.vertices.get=function(){return!!this._vertices},a.vertices.set=function(t){this._vertices=t,this._update()},i.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},a.version.get=function(){return t.version},Object.defineProperties(i.prototype,a),i}(Ti);function Di(t){t.parentNode&&t.parentNode.removeChild(t)}var zi={showCompass:!0,showZoom:!0,visualizePitch:!1},Ri=function(e){var n=this;this.options=t.extend({},zi,e),this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-group"),this._container.addEventListener("contextmenu",function(t){return t.preventDefault()}),this.options.showZoom&&(t.bindAll(["_setButtonTitle","_updateZoomButtons"],this),this._zoomInButton=this._createButton("mapboxgl-ctrl-zoom-in",function(t){return n._map.zoomIn({},{originalEvent:t})}),r.create("span","mapboxgl-ctrl-icon",this._zoomInButton).setAttribute("aria-hidden",!0),this._zoomOutButton=this._createButton("mapboxgl-ctrl-zoom-out",function(t){return n._map.zoomOut({},{originalEvent:t})}),r.create("span","mapboxgl-ctrl-icon",this._zoomOutButton).setAttribute("aria-hidden",!0)),this.options.showCompass&&(t.bindAll(["_rotateCompassArrow"],this),this._compass=this._createButton("mapboxgl-ctrl-compass",function(t){n.options.visualizePitch?n._map.resetNorthPitch({},{originalEvent:t}):n._map.resetNorth({},{originalEvent:t})}),this._compassIcon=r.create("span","mapboxgl-ctrl-icon",this._compass),this._compassIcon.setAttribute("aria-hidden",!0))};Ri.prototype._updateZoomButtons=function(){var t=this._map.getZoom();this._zoomInButton.disabled=t===this._map.getMaxZoom(),this._zoomOutButton.disabled=t===this._map.getMinZoom()},Ri.prototype._rotateCompassArrow=function(){var t=this.options.visualizePitch?"scale("+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+") rotateX("+this._map.transform.pitch+"deg) rotateZ("+this._map.transform.angle*(180/Math.PI)+"deg)":"rotate("+this._map.transform.angle*(180/Math.PI)+"deg)";this._compassIcon.style.transform=t},Ri.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,"ZoomIn"),this._setButtonTitle(this._zoomOutButton,"ZoomOut"),this._map.on("zoom",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,"ResetBearing"),this.options.visualizePitch&&this._map.on("pitch",this._rotateCompassArrow),this._map.on("rotate",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Fi(this._map,this._compass,this.options.visualizePitch)),this._container},Ri.prototype.onRemove=function(){r.remove(this._container),this.options.showZoom&&this._map.off("zoom",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off("pitch",this._rotateCompassArrow),this._map.off("rotate",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map},Ri.prototype._createButton=function(t,e){var n=r.create("button",t,this._container);return n.type="button",n.addEventListener("click",e),n},Ri.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString("NavigationControl."+e);t.title=r,t.setAttribute("aria-label",r)};var Fi=function(e,n,i){void 0===i&&(i=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new Jn({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,i&&(this.mousePitch=new Kn({clickTolerance:e.dragRotate._mousePitch._clickTolerance})),t.bindAll(["mousedown","mousemove","mouseup","touchstart","touchmove","touchend","reset"],this),r.addEventListener(n,"mousedown",this.mousedown),r.addEventListener(n,"touchstart",this.touchstart,{passive:!1}),r.addEventListener(n,"touchmove",this.touchmove),r.addEventListener(n,"touchend",this.touchend),r.addEventListener(n,"touchcancel",this.reset)};function Bi(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var i=new t.LngLat(e.lng-360,e.lat),a=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(i).distSqr(r)<o?e=i:n.locationPoint(a).distSqr(r)<o&&(e=a)}for(;Math.abs(e.lng-n.center.lng)>180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Fi.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Fi.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Fi.prototype.off=function(){var t=this.element;r.removeEventListener(t,"mousedown",this.mousedown),r.removeEventListener(t,"touchstart",this.touchstart,{passive:!1}),r.removeEventListener(t,"touchmove",this.touchmove),r.removeEventListener(t,"touchend",this.touchend),r.removeEventListener(t,"touchcancel",this.reset),this.offTemp()},Fi.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,"mousemove",this.mousemove),r.removeEventListener(t.window,"mouseup",this.mouseup)},Fi.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,"mousemove",this.mousemove),r.addEventListener(t.window,"mouseup",this.mouseup)},Fi.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Fi.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Fi.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:"mousedown",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Fi.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Fi.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Fi.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var Ni={center:"translate(-50%,-50%)",top:"translate(-50%,0)","top-left":"translate(0,0)","top-right":"translate(-100%,0)",bottom:"translate(-50%,-100%)","bottom-left":"translate(0,-100%)","bottom-right":"translate(-100%,-100%)",left:"translate(0,-50%)",right:"translate(-100%,-50%)"};function ji(t,e,r){var n=t.classList;for(var i in Ni)n.remove("mapboxgl-"+r+"-anchor-"+i);n.add("mapboxgl-"+r+"-anchor-"+e)}var Ui,Vi=function(e){function n(n,i){var a=this;if(e.call(this),(n instanceof t.window.HTMLElement||i)&&(n=t.extend({element:n},i)),t.bindAll(["_update","_onMove","_onUp","_addDragHandler","_onMapClick","_onKeyPress"],this),this._anchor=n&&n.anchor||"center",this._color=n&&n.color||"#3FB1CE",this._draggable=n&&n.draggable||!1,this._state="inactive",this._rotation=n&&n.rotation||0,this._rotationAlignment=n&&n.rotationAlignment||"auto",this._pitchAlignment=n&&n.pitchAlignment&&"auto"!==n.pitchAlignment?n.pitchAlignment:this._rotationAlignment,n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else{this._defaultMarker=!0,this._element=r.create("div"),this._element.setAttribute("aria-label","Map marker");var o=r.createNS("http://www.w3.org/2000/svg","svg");o.setAttributeNS(null,"display","block"),o.setAttributeNS(null,"height","41px"),o.setAttributeNS(null,"width","27px"),o.setAttributeNS(null,"viewBox","0 0 27 41");var s=r.createNS("http://www.w3.org/2000/svg","g");s.setAttributeNS(null,"stroke","none"),s.setAttributeNS(null,"stroke-width","1"),s.setAttributeNS(null,"fill","none"),s.setAttributeNS(null,"fill-rule","evenodd");var l=r.createNS("http://www.w3.org/2000/svg","g");l.setAttributeNS(null,"fill-rule","nonzero");var u=r.createNS("http://www.w3.org/2000/svg","g");u.setAttributeNS(null,"transform","translate(3.0, 29.0)"),u.setAttributeNS(null,"fill","#000000");for(var c=0,f=[{rx:"10.5",ry:"5.25002273"},{rx:"10.5",ry:"5.25002273"},{rx:"9.5",ry:"4.77275007"},{rx:"8.5",ry:"4.29549936"},{rx:"7.5",ry:"3.81822308"},{rx:"6.5",ry:"3.34094679"},{rx:"5.5",ry:"2.86367051"},{rx:"4.5",ry:"2.38636864"}];c<f.length;c+=1){var h=f[c],p=r.createNS("http://www.w3.org/2000/svg","ellipse");p.setAttributeNS(null,"opacity","0.04"),p.setAttributeNS(null,"cx","10.5"),p.setAttributeNS(null,"cy","5.80029008"),p.setAttributeNS(null,"rx",h.rx),p.setAttributeNS(null,"ry",h.ry),u.appendChild(p)}var d=r.createNS("http://www.w3.org/2000/svg","g");d.setAttributeNS(null,"fill",this._color);var v=r.createNS("http://www.w3.org/2000/svg","path");v.setAttributeNS(null,"d","M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z"),d.appendChild(v);var g=r.createNS("http://www.w3.org/2000/svg","g");g.setAttributeNS(null,"opacity","0.25"),g.setAttributeNS(null,"fill","#000000");var y=r.createNS("http://www.w3.org/2000/svg","path");y.setAttributeNS(null,"d","M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z"),g.appendChild(y);var m=r.createNS("http://www.w3.org/2000/svg","g");m.setAttributeNS(null,"transform","translate(6.0, 7.0)"),m.setAttributeNS(null,"fill","#FFFFFF");var x=r.createNS("http://www.w3.org/2000/svg","g");x.setAttributeNS(null,"transform","translate(8.0, 8.0)");var b=r.createNS("http://www.w3.org/2000/svg","circle");b.setAttributeNS(null,"fill","#000000"),b.setAttributeNS(null,"opacity","0.25"),b.setAttributeNS(null,"cx","5.5"),b.setAttributeNS(null,"cy","5.5"),b.setAttributeNS(null,"r","5.4999962");var _=r.createNS("http://www.w3.org/2000/svg","circle");_.setAttributeNS(null,"fill","#FFFFFF"),_.setAttributeNS(null,"cx","5.5"),_.setAttributeNS(null,"cy","5.5"),_.setAttributeNS(null,"r","5.4999962"),x.appendChild(b),x.appendChild(_),l.appendChild(u),l.appendChild(d),l.appendChild(g),l.appendChild(m),l.appendChild(x),o.appendChild(l),this._element.appendChild(o),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add("mapboxgl-marker"),this._element.addEventListener("dragstart",function(t){t.preventDefault()}),this._element.addEventListener("mousedown",function(t){t.preventDefault()}),this._element.addEventListener("focus",function(){var t=a._map.getContainer();t.scrollTop=0,t.scrollLeft=0}),ji(this._element,this._anchor,"marker"),this._popup=null}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on("move",this._update),t.on("moveend",this._update),this.setDraggable(this._draggable),this._update(),this._map.on("click",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off("click",this._onMapClick),this._map.off("move",this._update),this._map.off("moveend",this._update),this._map.off("mousedown",this._addDragHandler),this._map.off("touchstart",this._addDragHandler),this._map.off("mouseup",this._onUp),this._map.off("touchend",this._onUp),this._map.off("mousemove",this._onMove),this._map.off("touchmove",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener("keypress",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute("tabindex")),t){if(!("offset"in t.options)){var e=13.5,r=Math.sqrt(Math.pow(e,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],"top-left":[0,0],"top-right":[0,0],bottom:[0,-38.1],"bottom-left":[r,-1*(24.6+r)],"bottom-right":[-r,-1*(24.6+r)],left:[e,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute("tabindex"),this._originalTabIndex||this._element.setAttribute("tabindex","0"),this._element.addEventListener("keypress",this._onKeyPress)}return this},n.prototype._onKeyPress=function(t){var e=t.code,r=t.charCode||t.keyCode;"Space"!==e&&"Enter"!==e&&32!==r&&13!==r||this.togglePopup()},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=Bi(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var e="";"viewport"===this._rotationAlignment||"auto"===this._rotationAlignment?e="rotateZ("+this._rotation+"deg)":"map"===this._rotationAlignment&&(e="rotateZ("+(this._rotation-this._map.getBearing())+"deg)");var n="";"viewport"===this._pitchAlignment||"auto"===this._pitchAlignment?n="rotateX(0deg)":"map"===this._pitchAlignment&&(n="rotateX("+this._map.getPitch()+"deg)"),t&&"moveend"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,Ni[this._anchor]+" translate("+this._pos.x+"px, "+this._pos.y+"px) "+n+" "+e)}},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents="none","pending"===this._state&&(this._state="active",this.fire(new t.Event("dragstart"))),this.fire(new t.Event("drag"))},n.prototype._onUp=function(){this._element.style.pointerEvents="auto",this._positionDelta=null,this._map.off("mousemove",this._onMove),this._map.off("touchmove",this._onMove),"active"===this._state&&this.fire(new t.Event("dragend")),this._state="inactive"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._state="pending",this._map.on("mousemove",this._onMove),this._map.on("touchmove",this._onMove),this._map.once("mouseup",this._onUp),this._map.once("touchend",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on("mousedown",this._addDragHandler),this._map.on("touchstart",this._addDragHandler)):(this._map.off("mousedown",this._addDragHandler),this._map.off("touchstart",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||"auto",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&"auto"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Hi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var qi=0,Gi=!1,Yi=function(e){function n(r){e.call(this),this.options=t.extend({},Hi,r),t.bindAll(["_onSuccess","_onError","_onZoom","_finish","_setupUI","_updateCamera","_updateMarker"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.onAdd=function(e){return this._map=e,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-group"),n=this._setupUI,void 0!==Ui?n(Ui):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:"geolocation"}).then(function(t){Ui="denied"!==t.state,n(Ui)}):(Ui=!!t.window.navigator.geolocation,n(Ui)),this._container;var n},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off("zoom",this._onZoom),this._map=void 0,qi=0,Gi=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitude<e.getWest()||r.longitude>e.getEast()||r.latitude<e.getSouth()||r.latitude>e.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case"WAITING_ACTIVE":this._watchState="ACTIVE_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error");break;case"ACTIVE_LOCK":this._watchState="ACTIVE_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting");break;case"BACKGROUND":this._watchState="BACKGROUND_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event("outofmaxbounds",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case"WAITING_ACTIVE":case"ACTIVE_LOCK":case"ACTIVE_ERROR":this._watchState="ACTIVE_LOCK",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"BACKGROUND":case"BACKGROUND_ERROR":this._watchState="BACKGROUND",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background")}this.options.showUserLocation&&"OFF"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&"ACTIVE_LOCK"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove("mapboxgl-user-location-dot-stale"),this.fire(new t.Event("geolocate",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+"px",this._circleElement.style.height=i+"px"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState="OFF",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.disabled=!0;var r=this._map._getUIString("GeolocateControl.LocationNotAvailable");this._geolocateButton.title=r,this._geolocateButton.setAttribute("aria-label",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&Gi)return;this._setErrorState()}"OFF"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add("mapboxgl-user-location-dot-stale"),this.fire(new t.Event("error",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener("contextmenu",function(t){return t.preventDefault()}),this._geolocateButton=r.create("button","mapboxgl-ctrl-geolocate",this._container),r.create("span","mapboxgl-ctrl-icon",this._geolocateButton).setAttribute("aria-hidden",!0),this._geolocateButton.type="button",!1===e){t.warnOnce("Geolocation support is not available so the GeolocateControl will be disabled.");var i=this._map._getUIString("GeolocateControl.LocationNotAvailable");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute("aria-label",i)}else{var a=this._map._getUIString("GeolocateControl.FindMyLocation");this._geolocateButton.title=a,this._geolocateButton.setAttribute("aria-label",a)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute("aria-pressed","false"),this._watchState="OFF"),this.options.showUserLocation&&(this._dotElement=r.create("div","mapboxgl-user-location-dot"),this._userLocationDotMarker=new Vi(this._dotElement),this._circleElement=r.create("div","mapboxgl-user-location-accuracy-circle"),this._accuracyCircleMarker=new Vi({element:this._circleElement,pitchAlignment:"map"}),this.options.trackUserLocation&&(this._watchState="OFF"),this._map.on("zoom",this._onZoom)),this._geolocateButton.addEventListener("click",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on("movestart",function(e){var r=e.originalEvent&&"resize"===e.originalEvent.type;e.geolocateSource||"ACTIVE_LOCK"!==n._watchState||r||(n._watchState="BACKGROUND",n._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background"),n._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),n.fire(new t.Event("trackuserlocationend")))})},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce("Geolocate control triggered before added to a map"),!1;if(this.options.trackUserLocation){switch(this._watchState){case"OFF":this._watchState="WAITING_ACTIVE",this.fire(new t.Event("trackuserlocationstart"));break;case"WAITING_ACTIVE":case"ACTIVE_LOCK":case"ACTIVE_ERROR":case"BACKGROUND_ERROR":qi--,Gi=!1,this._watchState="OFF",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this.fire(new t.Event("trackuserlocationend"));break;case"BACKGROUND":this._watchState="ACTIVE_LOCK",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event("trackuserlocationstart"))}switch(this._watchState){case"WAITING_ACTIVE":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"ACTIVE_LOCK":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"ACTIVE_ERROR":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error");break;case"BACKGROUND":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background");break;case"BACKGROUND_ERROR":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background-error")}if("OFF"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.setAttribute("aria-pressed","true"),++qi>1?(e={maximumAge:6e5,timeout:0},Gi=!0):(e=this.options.positionOptions,Gi=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.setAttribute("aria-pressed","false"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Wi={maxWidth:100,unit:"metric"},Zi=function(e){this.options=t.extend({},Wi,e),t.bindAll(["_onMove","setUnit"],this)};function Xi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&"imperial"===r.unit){var l=3.2808*s;l>5280?Ji(e,n,l/5280,t._getUIString("ScaleControl.Miles")):Ji(e,n,l,t._getUIString("ScaleControl.Feet"))}else r&&"nautical"===r.unit?Ji(e,n,s/1852,t._getUIString("ScaleControl.NauticalMiles")):s>=1e3?Ji(e,n,s/1e3,t._getUIString("ScaleControl.Kilometers")):Ji(e,n,s,t._getUIString("ScaleControl.Meters"))}function Ji(t,e,r,n){var i,a,o,s=(i=r,(a=Math.pow(10,(""+Math.floor(i)).length-1))*((o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o))),l=s/r;t.style.width=e*l+"px",t.innerHTML=s+"&nbsp;"+n}Zi.prototype.getDefaultPosition=function(){return"bottom-left"},Zi.prototype._onMove=function(){Xi(this._map,this._container,this.options)},Zi.prototype.onAdd=function(t){return this._map=t,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-scale",t.getContainer()),this._map.on("move",this._onMove),this._onMove(),this._container},Zi.prototype.onRemove=function(){r.remove(this._container),this._map.off("move",this._onMove),this._map=void 0},Zi.prototype.setUnit=function(t){this.options.unit=t,Xi(this._map,this._container,this.options)};var Ki=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce("Full screen control 'container' must be a DOM element.")),t.bindAll(["_onClickFullscreen","_changeIcon"],this),"onfullscreenchange"in t.window.document?this._fullscreenchange="fullscreenchange":"onmozfullscreenchange"in t.window.document?this._fullscreenchange="mozfullscreenchange":"onwebkitfullscreenchange"in t.window.document?this._fullscreenchange="webkitfullscreenchange":"onmsfullscreenchange"in t.window.document&&(this._fullscreenchange="MSFullscreenChange")};Ki.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-group"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display="none",t.warnOnce("This device does not support fullscreen mode.")),this._controlContainer},Ki.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},Ki.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},Ki.prototype._setupUI=function(){var e=this._fullscreenButton=r.create("button","mapboxgl-ctrl-fullscreen",this._controlContainer);r.create("span","mapboxgl-ctrl-icon",e).setAttribute("aria-hidden",!0),e.type="button",this._updateTitle(),this._fullscreenButton.addEventListener("click",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},Ki.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute("aria-label",t),this._fullscreenButton.title=t},Ki.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?"FullscreenControl.Exit":"FullscreenControl.Enter")},Ki.prototype._isFullscreen=function(){return 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ea={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Ii,NavigationControl:Ri,GeolocateControl:Yi,AttributionControl:Ai,ScaleControl:Zi,FullscreenControl:Ki,Popup:Qi,Marker:Vi,Style:We,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){jt().acquire(Rt)},clearPrewarmedResources:function(){var t=Bt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(Rt),Bt=null):console.warn("Could not clear WebWorkers since there are active Map instances that still reference it. 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n=r(79758),i=r(26446),a=r(88191);t.exports=function(t,e,r,o){var s,l,u,c=r[0][0].carpet,f=i.getFromId(t,c.xaxis||"x"),h=i.getFromId(t,c.yaxis||"y"),p={xaxis:f,yaxis:h,plot:e.plot};for(s=0;s<r.length;s++)(l=r[s][0].trace)._xA=f,l._yA=h;for(n(t,p,r,o),s=0;s<r.length;s++)l=r[s][0].trace,u=o.selectAll("g.trace"+l.uid+" .js-line"),a.setClipUrl(u,r[s][0].carpet._clipPathId,t)}},55974:function(t,e,r){"use strict";var n=r(69562),i=r(15181);t.exports=function(t,e,r){if(r("newshape.visible"),r("newshape.name"),r("newshape.showlegend"),r("newshape.legend"),r("newshape.legendwidth"),r("newshape.legendgroup"),r("newshape.legendgrouptitle.text"),i.coerceFont(r,"newshape.legendgrouptitle.font"),r("newshape.legendrank"),r("newshape.drawdirection"),r("newshape.layer"),r("newshape.fillcolor"),r("newshape.fillrule"),r("newshape.opacity"),r("newshape.line.width")){var a=(t||{}).plot_bgcolor||"#FFF";r("newshape.line.color",n.contrast(a)),r("newshape.line.dash")}var 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strip",instances:t.prop("count"),count:4,offset:0,uniforms:{miterMode:function(t,e){return"round"===e.join?2:1},miterLimit:t.prop("miterLimit"),scale:t.prop("scale"),scaleFract:t.prop("scaleFract"),translateFract:t.prop("translateFract"),translate:t.prop("translate"),thickness:t.prop("thickness"),dashTexture:t.prop("dashTexture"),opacity:t.prop("opacity"),pixelRatio:t.context("pixelRatio"),id:t.prop("id"),dashLength:t.prop("dashLength"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]},depth:t.prop("depth")},blend:{enable:!0,color:[0,0,0,0],equation:{rgb:"add",alpha:"add"},func:{srcRGB:"src alpha",dstRGB:"one minus src alpha",srcAlpha:"one minus dst alpha",dstAlpha:"one"}},depth:{enable:function(t,e){return!e.overlay}},stencil:{enable:!1},scissor:{enable:!0,box:t.prop("viewport")},viewport:t.prop("viewport")},i=t(a({vert:"\nprecision highp float;\n\nattribute vec2 aCoord, bCoord, aCoordFract, bCoordFract;\nattribute vec4 color;\nattribute float lineEnd, lineTop;\n\nuniform vec2 scale, scaleFract, translate, translateFract;\nuniform float thickness, pixelRatio, id, depth;\nuniform vec4 viewport;\n\nvarying vec4 fragColor;\nvarying vec2 tangent;\n\nvec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\n\t// the order is important\n\treturn position * scale + translate\n       + positionFract * scale + translateFract\n       + position * scaleFract\n       + positionFract * scaleFract;\n}\n\nvoid main() {\n\tfloat lineStart = 1. - lineEnd;\n\tfloat lineOffset = lineTop * 2. - 1.;\n\n\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\n\ttangent = normalize(diff * scale * viewport.zw);\n\tvec2 normal = vec2(-tangent.y, tangent.x);\n\n\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\n\t\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\n\n\t\t+ thickness * normal * .5 * lineOffset / viewport.zw;\n\n\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\n\n\tfragColor = color / 255.;\n}\n",frag:"\nprecision highp float;\n\nuniform float dashLength, pixelRatio, thickness, opacity, id;\nuniform sampler2D dashTexture;\n\nvarying vec4 fragColor;\nvarying vec2 tangent;\n\nvoid main() {\n\tfloat alpha = 1.;\n\n\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\n\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\n\n\tgl_FragColor = fragColor;\n\tgl_FragColor.a *= alpha * opacity * dash;\n}\n",attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:t.prop("positionFractBuffer"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:t.prop("positionFractBuffer"),stride:8,offset:16,divisor:1},color:{buffer:t.prop("colorBuffer"),stride:4,offset:0,divisor:1}}},n));try{e=t(a({cull:{enable:!0,face:"back"},vert:"\nprecision highp float;\n\nattribute vec2 aCoord, bCoord, nextCoord, prevCoord;\nattribute vec4 aColor, bColor;\nattribute float lineEnd, lineTop;\n\nuniform vec2 scale, translate;\nuniform float thickness, pixelRatio, id, depth;\nuniform vec4 viewport;\nuniform float miterLimit, miterMode;\n\nvarying vec4 fragColor;\nvarying vec4 startCutoff, endCutoff;\nvarying vec2 tangent;\nvarying vec2 startCoord, endCoord;\nvarying float enableStartMiter, enableEndMiter;\n\nconst float REVERSE_THRESHOLD = -.875;\nconst float MIN_DIFF = 1e-6;\n\n// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\n// TODO: precalculate dot products, normalize things beforehead etc.\n// TODO: refactor to rectangular algorithm\n\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\n\tvec2 diff = b - a;\n\tvec2 perp = normalize(vec2(-diff.y, diff.x));\n\treturn dot(p - a, perp);\n}\n\nbool isNaN( float val ){\n  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\n}\n\nvoid main() {\n\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\n\n  vec2 adjustedScale;\n  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\n  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\n\n  vec2 scaleRatio = adjustedScale * viewport.zw;\n\tvec2 normalWidth = thickness / scaleRatio;\n\n\tfloat lineStart = 1. - lineEnd;\n\tfloat lineBot = 1. - lineTop;\n\n\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\n\n\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\n\n\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\n\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\n\n\n\tvec2 prevDiff = aCoord - prevCoord;\n\tvec2 currDiff = bCoord - aCoord;\n\tvec2 nextDiff = nextCoord - bCoord;\n\n\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\n\tvec2 currTangent = normalize(currDiff * scaleRatio);\n\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\n\n\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\n\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\n\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\n\n\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\n\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\n\n\t// collapsed/unidirectional segment cases\n\t// FIXME: there should be more elegant solution\n\tvec2 prevTanDiff = abs(prevTangent - currTangent);\n\tvec2 nextTanDiff = abs(nextTangent - currTangent);\n\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\n\t\tstartJoinDirection = currNormal;\n\t}\n\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\n\t\tendJoinDirection = currNormal;\n\t}\n\tif (aCoord == bCoord) {\n\t\tendJoinDirection = startJoinDirection;\n\t\tcurrNormal = prevNormal;\n\t\tcurrTangent = prevTangent;\n\t}\n\n\ttangent = currTangent;\n\n\t//calculate join shifts relative to normals\n\tfloat startJoinShift = dot(currNormal, startJoinDirection);\n\tfloat endJoinShift = dot(currNormal, endJoinDirection);\n\n\tfloat startMiterRatio = abs(1. / startJoinShift);\n\tfloat endMiterRatio = abs(1. / endJoinShift);\n\n\tvec2 startJoin = startJoinDirection * startMiterRatio;\n\tvec2 endJoin = endJoinDirection * endMiterRatio;\n\n\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\n\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\n\tstartBotJoin = -startTopJoin;\n\n\tendTopJoin = sign(endJoinShift) * endJoin * .5;\n\tendBotJoin = -endTopJoin;\n\n\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\n\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\n\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\n\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\n\n\t//miter anti-clipping\n\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\n\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\n\n\t//prevent close to reverse direction switch\n\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\n\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\n\n\tif (prevReverse) {\n\t\t//make join rectangular\n\t\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\n\t\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\n\t\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\n\t\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\n\t}\n\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\n\t\t//handle miter clipping\n\t\tbTopCoord -= normalWidth * endTopJoin;\n\t\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\n\t}\n\n\tif (nextReverse) {\n\t\t//make join rectangular\n\t\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\n\t\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\n\t\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\n\t\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\n\t}\n\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\n\t\t//handle miter clipping\n\t\taBotCoord -= normalWidth * startBotJoin;\n\t\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\n\t}\n\n\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\n\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\n\n\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\n\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\n\n\t//position is normalized 0..1 coord on the screen\n\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\n\n\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\n\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\n\n\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\n\n\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\n\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\n\n\t//bevel miter cutoffs\n\tif (miterMode == 1.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\n\t\t\tstartCutoff = vec4(aCoord, aCoord);\n\t\t\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\n\t\t\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tstartCutoff += viewport.xyxy;\n\t\t\tstartCutoff += startMiterWidth.xyxy;\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\n\t\t\tendCutoff = vec4(bCoord, bCoord);\n\t\t\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\n\t\t\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tendCutoff += viewport.xyxy;\n\t\t\tendCutoff += endMiterWidth.xyxy;\n\t\t}\n\t}\n\n\t//round miter cutoffs\n\telse if (miterMode == 2.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\n\t\t\tstartCutoff = vec4(aCoord, aCoord);\n\t\t\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\n\t\t\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tstartCutoff += viewport.xyxy;\n\t\t\tstartCutoff += startMiterWidth.xyxy;\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\n\t\t\tendCutoff = vec4(bCoord, bCoord);\n\t\t\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\n\t\t\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tendCutoff += viewport.xyxy;\n\t\t\tendCutoff += endMiterWidth.xyxy;\n\t\t}\n\t}\n}\n",frag:"\nprecision highp float;\n\nuniform float dashLength, pixelRatio, thickness, opacity, id, miterMode;\nuniform sampler2D dashTexture;\n\nvarying vec4 fragColor;\nvarying vec2 tangent;\nvarying vec4 startCutoff, endCutoff;\nvarying vec2 startCoord, endCoord;\nvarying float enableStartMiter, enableEndMiter;\n\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\n\tvec2 diff = b - a;\n\tvec2 perp = normalize(vec2(-diff.y, diff.x));\n\treturn dot(p - a, perp);\n}\n\nvoid main() {\n\tfloat alpha = 1., distToStart, distToEnd;\n\tfloat cutoff = thickness * .5;\n\n\t//bevel miter\n\tif (miterMode == 1.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\n\t\t\tif (distToStart < -1.) {\n\t\t\t\tdiscard;\n\t\t\t\treturn;\n\t\t\t}\n\t\t\talpha *= min(max(distToStart + 1., 0.), 1.);\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\n\t\t\tif (distToEnd < -1.) {\n\t\t\t\tdiscard;\n\t\t\t\treturn;\n\t\t\t}\n\t\t\talpha *= min(max(distToEnd + 1., 0.), 1.);\n\t\t}\n\t}\n\n\t// round miter\n\telse if (miterMode == 2.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\n\t\t\tif (distToStart < 0.) {\n\t\t\t\tfloat radius = length(gl_FragCoord.xy - startCoord);\n\n\t\t\t\tif(radius > cutoff + .5) {\n\t\t\t\t\tdiscard;\n\t\t\t\t\treturn;\n\t\t\t\t}\n\n\t\t\t\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\n\t\t\t}\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\n\t\t\tif (distToEnd < 0.) {\n\t\t\t\tfloat radius = length(gl_FragCoord.xy - endCoord);\n\n\t\t\t\tif(radius > cutoff + .5) {\n\t\t\t\t\tdiscard;\n\t\t\t\t\treturn;\n\t\t\t\t}\n\n\t\t\t\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\n\t\t\t}\n\t\t}\n\t}\n\n\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\n\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\n\n\tgl_FragColor = fragColor;\n\tgl_FragColor.a *= alpha * opacity * dash;\n}\n",attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aColor:{buffer:t.prop("colorBuffer"),stride:4,offset:0,divisor:1},bColor:{buffer:t.prop("colorBuffer"),stride:4,offset:4,divisor:1},prevCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:0,divisor:1},aCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:16,divisor:1},nextCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:24,divisor:1}}},n))}catch(t){e=i}return{fill:t({primitive:"triangle",elements:function(t,e){return e.triangles},offset:0,vert:"\nprecision highp float;\n\nattribute vec2 position, positionFract;\n\nuniform vec4 color;\nuniform vec2 scale, scaleFract, translate, translateFract;\nuniform float pixelRatio, id;\nuniform vec4 viewport;\nuniform float opacity;\n\nvarying vec4 fragColor;\n\nconst float MAX_LINES = 256.;\n\nvoid main() {\n\tfloat depth = (MAX_LINES - 4. - id) / 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2===this.length?t+=67108864*this.words[1]:3===this.length&&1===this.words[2]?t+=4503599627370496+67108864*this.words[1]:this.length>2&&n(!1,"Number can only safely store up to 53 bits"),0!==this.negative?-t:t},a.prototype.toJSON=function(){return this.toString(16)},a.prototype.toBuffer=function(t,e){return n(void 0!==o),this.toArrayLike(o,t,e)},a.prototype.toArray=function(t,e){return this.toArrayLike(Array,t,e)},a.prototype.toArrayLike=function(t,e,r){var i=this.byteLength(),a=r||Math.max(1,i);n(i<=a,"byte array longer than desired length"),n(a>0,"Requested array length <= 0"),this.strip();var o,s,l="le"===e,u=new t(a),c=this.clone();if(l){for(s=0;!c.isZero();s++)o=c.andln(255),c.iushrn(8),u[s]=o;for(;s<a;s++)u[s]=0}else{for(s=0;s<a-i;s++)u[s]=0;for(s=0;!c.isZero();s++)o=c.andln(255),c.iushrn(8),u[a-s-1]=o}return u},Math.clz32?a.prototype._countBits=function(t){return 32-Math.clz32(t)}:a.prototype._countBits=function(t){var e=t,r=0;return 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0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var a=0,o=0;o<n.length;o++)a=(e=(0|r.words[o])-(0|n.words[o])+a)>>26,this.words[o]=67108863&e;for(;0!==a&&o<r.length;o++)a=(e=(0|r.words[o])+a)>>26,this.words[o]=67108863&e;if(0===a&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},a.prototype.sub=function(t){return this.clone().isub(t)};var d=function(t,e,r){var 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yt=(u+(n=n+Math.imul(f,q)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,q)|0))<<13)|0;u=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(y,U),i=(i=Math.imul(y,V))+Math.imul(m,U)|0,a=Math.imul(m,V),n=n+Math.imul(d,q)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(v,q)|0,a=a+Math.imul(v,G)|0;var mt=(u+(n=n+Math.imul(f,W)|0)|0)+((8191&(i=(i=i+Math.imul(f,Z)|0)+Math.imul(h,W)|0))<<13)|0;u=((a=a+Math.imul(h,Z)|0)+(i>>>13)|0)+(mt>>>26)|0,mt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(y,q)|0,i=(i=i+Math.imul(y,G)|0)+Math.imul(m,q)|0,a=a+Math.imul(m,G)|0,n=n+Math.imul(d,W)|0,i=(i=i+Math.imul(d,Z)|0)+Math.imul(v,W)|0,a=a+Math.imul(v,Z)|0;var xt=(u+(n=n+Math.imul(f,J)|0)|0)+((8191&(i=(i=i+Math.imul(f,K)|0)+Math.imul(h,J)|0))<<13)|0;u=((a=a+Math.imul(h,K)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(A,U)|0,a=Math.imul(A,V),n=n+Math.imul(b,q)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,q)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(y,W)|0,i=(i=i+Math.imul(y,Z)|0)+Math.imul(m,W)|0,a=a+Math.imul(m,Z)|0,n=n+Math.imul(d,J)|0,i=(i=i+Math.imul(d,K)|0)+Math.imul(v,J)|0,a=a+Math.imul(v,K)|0;var bt=(u+(n=n+Math.imul(f,Q)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,Q)|0))<<13)|0;u=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,q)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(A,q)|0,a=a+Math.imul(A,G)|0,n=n+Math.imul(b,W)|0,i=(i=i+Math.imul(b,Z)|0)+Math.imul(_,W)|0,a=a+Math.imul(_,Z)|0,n=n+Math.imul(y,J)|0,i=(i=i+Math.imul(y,K)|0)+Math.imul(m,J)|0,a=a+Math.imul(m,K)|0,n=n+Math.imul(d,Q)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(v,Q)|0,a=a+Math.imul(v,tt)|0;var _t=(u+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;u=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=(i=Math.imul(L,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(M,q)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,q)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,W)|0,i=(i=i+Math.imul(T,Z)|0)+Math.imul(A,W)|0,a=a+Math.imul(A,Z)|0,n=n+Math.imul(b,J)|0,i=(i=i+Math.imul(b,K)|0)+Math.imul(_,J)|0,a=a+Math.imul(_,K)|0,n=n+Math.imul(y,Q)|0,i=(i=i+Math.imul(y,tt)|0)+Math.imul(m,Q)|0,a=a+Math.imul(m,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(v,rt)|0,a=a+Math.imul(v,nt)|0;var wt=(u+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;u=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(O,U),i=(i=Math.imul(O,V))+Math.imul(I,U)|0,a=Math.imul(I,V),n=n+Math.imul(L,q)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,q)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,W)|0,i=(i=i+Math.imul(M,Z)|0)+Math.imul(S,W)|0,a=a+Math.imul(S,Z)|0,n=n+Math.imul(T,J)|0,i=(i=i+Math.imul(T,K)|0)+Math.imul(A,J)|0,a=a+Math.imul(A,K)|0,n=n+Math.imul(b,Q)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,Q)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(y,rt)|0,i=(i=i+Math.imul(y,nt)|0)+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(v,at)|0,a=a+Math.imul(v,ot)|0;var 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At=(u+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;u=((a=a+Math.imul(h,ht)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(z,q)|0,i=(i=i+Math.imul(z,G)|0)+Math.imul(R,q)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(O,W)|0,i=(i=i+Math.imul(O,Z)|0)+Math.imul(I,W)|0,a=a+Math.imul(I,Z)|0,n=n+Math.imul(L,J)|0,i=(i=i+Math.imul(L,K)|0)+Math.imul(C,J)|0,a=a+Math.imul(C,K)|0,n=n+Math.imul(M,Q)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,Q)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(A,rt)|0,a=a+Math.imul(A,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(y,lt)|0,i=(i=i+Math.imul(y,ut)|0)+Math.imul(m,lt)|0,a=a+Math.imul(m,ut)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(v,ft)|0,a=a+Math.imul(v,ht)|0;var kt=(u+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,vt)|0)+Math.imul(h,dt)|0))<<13)|0;u=((a=a+Math.imul(h,vt)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,q),i=(i=Math.imul(B,G))+Math.imul(N,q)|0,a=Math.imul(N,G),n=n+Math.imul(z,W)|0,i=(i=i+Math.imul(z,Z)|0)+Math.imul(R,W)|0,a=a+Math.imul(R,Z)|0,n=n+Math.imul(O,J)|0,i=(i=i+Math.imul(O,K)|0)+Math.imul(I,J)|0,a=a+Math.imul(I,K)|0,n=n+Math.imul(L,Q)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,Q)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(A,at)|0,a=a+Math.imul(A,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ut)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ut)|0,n=n+Math.imul(y,ft)|0,i=(i=i+Math.imul(y,ht)|0)+Math.imul(m,ft)|0,a=a+Math.imul(m,ht)|0;var Mt=(u+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,vt)|0)+Math.imul(v,dt)|0))<<13)|0;u=((a=a+Math.imul(v,vt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,W),i=(i=Math.imul(B,Z))+Math.imul(N,W)|0,a=Math.imul(N,Z),n=n+Math.imul(z,J)|0,i=(i=i+Math.imul(z,K)|0)+Math.imul(R,J)|0,a=a+Math.imul(R,K)|0,n=n+Math.imul(O,Q)|0,i=(i=i+Math.imul(O,tt)|0)+Math.imul(I,Q)|0,a=a+Math.imul(I,tt)|0,n=n+Math.imul(L,rt)|0,i=(i=i+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ut)|0)+Math.imul(A,lt)|0,a=a+Math.imul(A,ut)|0,n=n+Math.imul(b,ft)|0,i=(i=i+Math.imul(b,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var St=(u+(n=n+Math.imul(y,dt)|0)|0)+((8191&(i=(i=i+Math.imul(y,vt)|0)+Math.imul(m,dt)|0))<<13)|0;u=((a=a+Math.imul(m,vt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,J),i=(i=Math.imul(B,K))+Math.imul(N,J)|0,a=Math.imul(N,K),n=n+Math.imul(z,Q)|0,i=(i=i+Math.imul(z,tt)|0)+Math.imul(R,Q)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(O,rt)|0,i=(i=i+Math.imul(O,nt)|0)+Math.imul(I,rt)|0,a=a+Math.imul(I,nt)|0,n=n+Math.imul(L,at)|0,i=(i=i+Math.imul(L,ot)|0)+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ut)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ut)|0,n=n+Math.imul(T,ft)|0,i=(i=i+Math.imul(T,ht)|0)+Math.imul(A,ft)|0,a=a+Math.imul(A,ht)|0;var Et=(u+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,vt)|0)+Math.imul(_,dt)|0))<<13)|0;u=((a=a+Math.imul(_,vt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,Q),i=(i=Math.imul(B,tt))+Math.imul(N,Q)|0,a=Math.imul(N,tt),n=n+Math.imul(z,rt)|0,i=(i=i+Math.imul(z,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(O,at)|0,i=(i=i+Math.imul(O,ot)|0)+Math.imul(I,at)|0,a=a+Math.imul(I,ot)|0,n=n+Math.imul(L,lt)|0,i=(i=i+Math.imul(L,ut)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ut)|0,n=n+Math.imul(M,ft)|0,i=(i=i+Math.imul(M,ht)|0)+Math.imul(S,ft)|0,a=a+Math.imul(S,ht)|0;var Lt=(u+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,vt)|0)+Math.imul(A,dt)|0))<<13)|0;u=((a=a+Math.imul(A,vt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(z,at)|0,i=(i=i+Math.imul(z,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(O,lt)|0,i=(i=i+Math.imul(O,ut)|0)+Math.imul(I,lt)|0,a=a+Math.imul(I,ut)|0,n=n+Math.imul(L,ft)|0,i=(i=i+Math.imul(L,ht)|0)+Math.imul(C,ft)|0,a=a+Math.imul(C,ht)|0;var Ct=(u+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,vt)|0)+Math.imul(S,dt)|0))<<13)|0;u=((a=a+Math.imul(S,vt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(z,lt)|0,i=(i=i+Math.imul(z,ut)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ut)|0,n=n+Math.imul(O,ft)|0,i=(i=i+Math.imul(O,ht)|0)+Math.imul(I,ft)|0,a=a+Math.imul(I,ht)|0;var Pt=(u+(n=n+Math.imul(L,dt)|0)|0)+((8191&(i=(i=i+Math.imul(L,vt)|0)+Math.imul(C,dt)|0))<<13)|0;u=((a=a+Math.imul(C,vt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ut))+Math.imul(N,lt)|0,a=Math.imul(N,ut),n=n+Math.imul(z,ft)|0,i=(i=i+Math.imul(z,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var Ot=(u+(n=n+Math.imul(O,dt)|0)|0)+((8191&(i=(i=i+Math.imul(O,vt)|0)+Math.imul(I,dt)|0))<<13)|0;u=((a=a+Math.imul(I,vt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var It=(u+(n=n+Math.imul(z,dt)|0)|0)+((8191&(i=(i=i+Math.imul(z,vt)|0)+Math.imul(R,dt)|0))<<13)|0;u=((a=a+Math.imul(R,vt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863;var Dt=(u+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,vt))+Math.imul(N,dt)|0))<<13)|0;return u=((a=Math.imul(N,vt))+(i>>>13)|0)+(Dt>>>26)|0,Dt&=67108863,l[0]=gt,l[1]=yt,l[2]=mt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=At,l[9]=kt,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Pt,l[16]=Ot,l[17]=It,l[18]=Dt,0!==u&&(l[19]=u,r.length++),r};function v(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r,n=this.length+t.length;return r=10===this.length&&10===t.length?d(this,t,e):n<63?p(this,t,e):n<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a<r.length-1;a++){var o=i;i=0;for(var s=67108863&n,l=Math.min(a,e.length-1),u=Math.max(0,a-t.length+1);u<=l;u++){var c=a-u,f=(0|t.words[c])*(0|e.words[u]),h=67108863&f;s=67108863&(h=h+s|0),i+=(o=(o=o+(f/67108864|0)|0)+(h>>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):v(this,t,e),r},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},g.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i<e;i++)n|=(1&t)<<e-i-1,t>>=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o<a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},g.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o<i;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),u=Math.sin(2*Math.PI/s),c=0;c<i;c+=s)for(var f=l,h=u,p=0;p<o;p++){var d=r[c+p],v=n[c+p],g=r[c+p+o],y=n[c+p+o],m=f*g-h*y;y=f*y+h*g,g=m,r[c+p]=d+g,n[c+p]=v+y,r[c+p+o]=d-g,n[c+p+o]=v-y,p!==s&&(m=l*f-u*h,h=l*h+u*f,f=m)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,i=0;for(r=r/2|0;r;r>>>=1)i++;return 1<<i+1+n},g.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var i=t[n];t[n]=t[r-n-1],t[r-n-1]=i,i=e[n],e[n]=-e[r-n-1],e[r-n-1]=-i}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&i,r=i<67108864?0:i/67108864|0}return t},g.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o<e;o++)a+=0|t[o],r[2*o]=8191&a,a>>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o<i;++o)r[o]=0;n(0===a),n(!(-8192&a))},g.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},g.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(n),a=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),u=new Array(n),c=new Array(n),f=new Array(n),h=r.words;h.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,u,n),this.transform(o,a,s,l,n,i),this.transform(u,a,c,f,n,i);for(var p=0;p<n;p++){var d=s[p]*c[p]-l[p]*f[p];l[p]=s[p]*f[p]+l[p]*c[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,h,a,n,i),this.conjugate(h,a,n),this.normalize13b(h,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},a.prototype.mul=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},a.prototype.mulf=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),v(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n("number"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var i=(0|this.words[r])*t,a=(67108863&i)+(67108863&e);e>>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,i=r%26;e[r]=(t.words[n]&1<<i)>>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var i=r.sqr();n<e.length;n++,i=i.sqr())0!==e[n]&&(r=r.mul(i));return r},a.prototype.iushln=function(t){n("number"==typeof t&&t>=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&a,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e<i;e++)this.words[e]=0;this.length+=i}return this.strip()},a.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},a.prototype.iushrn=function(t,e,r){var i;n("number"==typeof t&&t>=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<<a,l=r;if(i-=o,i=Math.max(0,i),l){for(var u=0;u<o;u++)l.words[u]=this.words[u];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,u=0;u<this.length;u++)this.words[u]=this.words[u+o];else this.words[0]=0,this.length=1;var c=0;for(u=this.length-1;u>=0&&(0!==c||u>=i);u--){var f=0|this.words[u];this.words[u]=c<<26-a|f>>>a,c=f&s}return l&&0!==c&&(l.words[l.length++]=c),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n("number"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<<e;return!(this.length<=r||!(this.words[r]&i))},a.prototype.imaskn=function(t){n("number"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,"imaskn works only with positive numbers"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<<e;this.words[this.length-1]&=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n("number"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},a.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n("number"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},a.prototype.addn=function(t){return this.clone().iaddn(t)},a.prototype.subn=function(t){return this.clone().isubn(t)},a.prototype.iabs=function(){return this.negative=0,this},a.prototype.abs=function(){return this.clone().iabs()},a.prototype._ishlnsubmul=function(t,e,r){var i,a,o=t.length+r;this._expand(o);var s=0;for(i=0;i<t.length;i++){a=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;s=((a-=67108863&l)>>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i<this.length-r;i++)s=(a=(0|this.words[i+r])+s)>>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i<this.length;i++)s=(a=-(0|this.words[i])+s)>>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!=(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if("mod"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var u=0;u<s.length;u++)s.words[u]=0}var c=n.clone()._ishlnsubmul(i,1,l);0===c.negative&&(n=c,s&&(s.words[l]=1));for(var f=l-1;f>=0;f--){var h=67108864*(0|n.words[i.length+f])+(0|n.words[i.length+f-1]);for(h=Math.min(h/o|0,67108863),n._ishlnsubmul(i,h,f);0!==n.negative;)h--,n.negative=0,n._ishlnsubmul(i,1,f),n.isZero()||(n.negative^=1);s&&(s.words[f]=h)}return s&&s.strip(),n.strip(),"div"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),"mod"!==e&&(i=s.div.neg()),"div"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),"mod"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!==(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),"div"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?"div"===e?{div:this.divn(t.words[0]),mod:null}:"mod"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,"div",!1).div},a.prototype.mod=function(t){return this.divmod(t,"mod",!1).mod},a.prototype.umod=function(t){return this.divmod(t,"mod",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),u=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++u;for(var c=r.clone(),f=e.clone();!e.isZero();){for(var h=0,p=1;0===(e.words[0]&p)&&h<26;++h,p<<=1);if(h>0)for(e.iushrn(h);h-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(c),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,v=1;0===(r.words[0]&v)&&d<26;++d,v<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(c),l.isub(f)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(u)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var u=0,c=1;0===(e.words[0]&c)&&u<26;++u,c<<=1);if(u>0)for(e.iushrn(u);u-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var f=0,h=1;0===(r.words[0]&h)&&f<26;++f,h<<=1);if(f>0)for(r.iushrn(f);f-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return!(1&this.words[0])},a.prototype.isOdd=function(){return!(1&~this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n("number"==typeof t);var e=t%26,r=(t-e)/26,i=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&&o<this.length;o++){var s=0|this.words[o];a=(s+=a)>>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,"Number is too big");var i=0|this.words[0];e=i===t?0:i<t?-1:1}return 0!==this.negative?0|-e:e},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},a.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n<i?e=-1:n>i&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new T(t)},a.prototype.toRed=function(t){return n(!this.red,"Already a number in reduction context"),n(0===this.negative,"red works only with positives"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,"fromRed works only with numbers in reduction context"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,"Already a number in reduction context"),this._forceRed(t)},a.prototype.redAdd=function(t){return n(this.red,"redAdd works only with red numbers"),this.red.add(this,t)},a.prototype.redIAdd=function(t){return n(this.red,"redIAdd works only with red numbers"),this.red.iadd(this,t)},a.prototype.redSub=function(t){return n(this.red,"redSub works only with red numbers"),this.red.sub(this,t)},a.prototype.redISub=function(t){return n(this.red,"redISub works only with red numbers"),this.red.isub(this,t)},a.prototype.redShl=function(t){return n(this.red,"redShl works only with red numbers"),this.red.shl(this,t)},a.prototype.redMul=function(t){return n(this.red,"redMul works only with red numbers"),this.red._verify2(this,t),this.red.mul(this,t)},a.prototype.redIMul=function(t){return n(this.red,"redMul works only with red numbers"),this.red._verify2(this,t),this.red.imul(this,t)},a.prototype.redSqr=function(){return n(this.red,"redSqr works only with red numbers"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,"redISqr works only with red numbers"),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,"redSqrt works only with red numbers"),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,"redInvm works only with red numbers"),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,"redNeg works only with red numbers"),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&&!t.red,"redPow(normalNum)"),this.red._verify1(this),this.red.pow(this,t)};var y={k256:null,p224:null,p192:null,p25519:null};function m(t,e){this.name=t,this.p=new a(e,16),this.n=this.p.bitLength(),this.k=new a(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function x(){m.call(this,"k256","ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f")}function b(){m.call(this,"p224","ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001")}function _(){m.call(this,"p192","ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff")}function w(){m.call(this,"25519","7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed")}function T(t){if("string"==typeof t){var e=a._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),"modulus must be greater than 1"),this.m=t,this.prime=null}function A(t){T.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}m.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},m.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),e=(r=(r=this.imulK(r)).iadd(this.tmp)).bitLength()}while(e>this.n);var n=e<this.n?-1:r.ucmp(this.p);return 0===n?(r.words[0]=0,r.length=1):n>0?r.isub(this.p):void 0!==r.strip?r.strip():r._strip(),r},m.prototype.split=function(t,e){t.iushrn(this.n,0,e)},m.prototype.imulK=function(t){return t.imul(this.k)},i(x,m),x.prototype.split=function(t,e){for(var r=4194303,n=Math.min(t.length,9),i=0;i<n;i++)e.words[i]=t.words[i];if(e.length=n,t.length<=9)return t.words[0]=0,void(t.length=1);var a=t.words[9];for(e.words[e.length++]=a&r,i=10;i<t.length;i++){var o=0|t.words[i];t.words[i-10]=(o&r)<<4|a>>>22,a=o}a>>>=22,t.words[i-10]=a,0===a&&t.length>10?t.length-=10:t.length-=9},x.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r<t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&e,e=64*n+(e/67108864|0)}return 0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},i(b,m),i(_,m),i(w,m),w.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,i=67108863&n;n>>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(y[t])return y[t];var e;if("k256"===t)e=new x;else if("p224"===t)e=new b;else if("p192"===t)e=new _;else{if("p25519"!==t)throw new Error("Unknown prime "+t);e=new w}return y[t]=e,e},T.prototype._verify1=function(t){n(0===t.negative,"red works only with positives"),n(t.red,"red works only with red numbers")},T.prototype._verify2=function(t,e){n(0===(t.negative|e.negative),"red works only with positives"),n(t.red&&t.red===e.red,"red works only with red numbers")},T.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},T.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},T.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},T.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},T.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},T.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},T.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},T.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},T.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},T.prototype.isqr=function(t){return this.imul(t,t.clone())},T.prototype.sqr=function(t){return this.mul(t,t)},T.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return this.pow(t,r)}for(var i=this.m.subn(1),o=0;!i.isZero()&&0===i.andln(1);)o++,i.iushrn(1);n(!i.isZero());var s=new a(1).toRed(this),l=s.redNeg(),u=this.m.subn(1).iushrn(1),c=this.m.bitLength();for(c=new a(2*c*c).toRed(this);0!==this.pow(c,u).cmp(l);)c.redIAdd(l);for(var f=this.pow(c,i),h=this.pow(t,i.addn(1).iushrn(1)),p=this.pow(t,i),d=o;0!==p.cmp(s);){for(var v=p,g=0;0!==v.cmp(s);g++)v=v.redSqr();n(g<d);var y=this.pow(f,new a(1).iushln(d-g-1));h=h.redMul(y),f=y.redSqr(),p=p.redMul(f),d=g}return h},T.prototype.invm=function(t){var e=t._invmp(this.m);return 0!==e.negative?(e.negative=0,this.imod(e).redNeg()):this.imod(e)},T.prototype.pow=function(t,e){if(e.isZero())return new a(1).toRed(this);if(0===e.cmpn(1))return t.clone();var r=new Array(16);r[0]=new a(1).toRed(this),r[1]=t;for(var n=2;n<r.length;n++)r[n]=this.mul(r[n-1],t);var i=r[0],o=0,s=0,l=e.bitLength()%26;for(0===l&&(l=26),n=e.length-1;n>=0;n--){for(var u=e.words[n],c=l-1;c>=0;c--){var f=u>>c&1;i!==r[0]&&(i=this.sqr(i)),0!==f||0!==o?(o<<=1,o|=f,(4===++s||0===n&&0===c)&&(i=this.mul(i,r[o]),s=0,o=0)):s=0}l=26}return i},T.prototype.convertTo=function(t){var e=t.umod(this.m);return e===t?e.clone():e},T.prototype.convertFrom=function(t){var e=t.clone();return e.red=null,e},a.mont=function(t){return new A(t)},i(A,T),A.prototype.convertTo=function(t){return this.imod(t.ushln(this.shift))},A.prototype.convertFrom=function(t){var e=this.imod(t.mul(this.rinv));return e.red=null,e},A.prototype.imul=function(t,e){if(t.isZero()||e.isZero())return t.words[0]=0,t.length=1,t;var r=t.imul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),a=i;return i.cmp(this.m)>=0?a=i.isub(this.m):i.cmpn(0)<0&&(a=i.iadd(this.m)),a._forceRed(this)},A.prototype.mul=function(t,e){if(t.isZero()||e.isZero())return new a(0)._forceRed(this);var 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f=o[o.length-2];for(f.left===s?f.left=null:f.right===s&&(f.right=null),o.pop(),l=0;l<o.length;++l)o[l]._count--;return new a(this.tree._compare,o[0])}if(s.left||s.right){for(s.left?h(s,s.left):s.right&&h(s,s.right),s._color=1,l=0;l<o.length-1;++l)o[l]._count--;return new a(this.tree._compare,o[0])}if(1===o.length)return new a(this.tree._compare,null);for(l=0;l<o.length;++l)o[l]._count--;var p=o[o.length-2];return function(t){for(var e,a,o,s,l=t.length-1;l>=0;--l){if(e=t[l],0===l)return void(e._color=1);if((a=t[l-1]).left===e){if((o=a.right).right&&0===o.right._color)return s=(o=a.right=r(o)).right=r(o.right),a.right=o.left,o.left=a,o.right=s,o._color=a._color,e._color=1,a._color=1,s._color=1,i(a),i(o),l>1&&((u=t[l-2]).left===a?u.left=o:u.right=o),void(t[l-1]=o);if(o.left&&0===o.left._color)return s=(o=a.right=r(o)).left=r(o.left),a.right=s.left,o.left=s.right,s.left=a,s.right=o,s._color=a._color,a._color=1,o._color=1,e._color=1,i(a),i(o),i(s),l>1&&((u=t[l-2]).left===a?u.left=s:u.right=s),void(t[l-1]=s);if(1===o._color){if(0===a._color)return a._color=1,void(a.right=n(0,o));a.right=n(0,o);continue}o=r(o),a.right=o.left,o.left=a,o._color=a._color,a._color=0,i(a),i(o),l>1&&((u=t[l-2]).left===a?u.left=o:u.right=o),t[l-1]=o,t[l]=a,l+1<t.length?t[l+1]=e:t.push(e),l+=2}else{if((o=a.left).left&&0===o.left._color)return s=(o=a.left=r(o)).left=r(o.left),a.left=o.right,o.right=a,o.left=s,o._color=a._color,e._color=1,a._color=1,s._color=1,i(a),i(o),l>1&&((u=t[l-2]).right===a?u.right=o:u.left=o),void(t[l-1]=o);if(o.right&&0===o.right._color)return 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a(this.tree._compare,n[0])},f.prev=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.left)for(e=e.left;e;)t.push(e),e=e.right;else for(t.pop();t.length>0&&t[t.length-1].left===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(f,"hasPrev",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].left)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].right===t[e])return!0;return!1}})},7453:function(t,e,r){"use strict";t.exports=function(t,e){var r=new c(t);return r.update(e),r};var n=r(9557),i=r(1681),a=r(1011),o=r(2864),s=r(8468),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]);function u(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function 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v=l("labels");l("labelFont")&&(v=!0),o("labelEnable"),a("labelSize"),a("labelPad"),u("labelColor"),o("lineEnable"),o("lineMirror"),a("lineWidth"),u("lineColor"),o("lineTickEnable"),o("lineTickMirror"),a("lineTickLength"),a("lineTickWidth"),u("lineTickColor"),o("gridEnable"),a("gridWidth"),u("gridColor"),o("zeroEnable"),u("zeroLineColor"),a("zeroLineWidth"),o("backgroundEnable"),u("backgroundColor"),this._text?this._text&&(v||c)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&c&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var p=[new h,new h,new h];function d(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,u=n[e],c=0;c<3;++c)if(e!==c){var f=a,h=s,p=o,d=l;u&1<<c&&(f=s,h=a,p=l,d=o),f[c]=r[0][c],h[c]=r[1][c],i[c]>0?(p[c]=-1,d[c]=0):(p[c]=0,d[c]=1)}}var v=[0,0,0],g={model:l,view:l,projection:l,_ortho:!1};f.isOpaque=function(){return!0},f.isTransparent=function(){return!1},f.drawTransparent=function(t){};var y=[0,0,0],m=[0,0,0],x=[0,0,0];f.draw=function(t){t=t||g;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,c=o(r,n,i,a,s),f=c.cubeEdges,h=c.axis,b=n[12],_=n[13],w=n[14],T=n[15],A=(s?2:1)*this.pixelRatio*(i[3]*b+i[7]*_+i[11]*w+i[15]*T)/e.drawingBufferHeight,k=0;k<3;++k)this.lastCubeProps.cubeEdges[k]=f[k],this.lastCubeProps.axis[k]=h[k];var M=p;for(k=0;k<3;++k)d(p[k],k,this.bounds,f,h);e=this.gl;var S,E,L,C=v;for(k=0;k<3;++k)this.backgroundEnable[k]?C[k]=h[k]:C[k]=0;for(this._background.draw(r,n,i,a,C,this.backgroundColor),this._lines.bind(r,n,i,this),k=0;k<3;++k){var P=[0,0,0];h[k]>0?P[k]=a[1][k]:P[k]=a[0][k];for(var O=0;O<2;++O){var 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B=A/r[5*O];z[O]*=F[O]*B,R[O]*=F[O]*B}this.lineTickEnable[k]&&this._lines.drawAxisTicks(k,M[k].primalOffset,z,this.lineTickColor[k],this.lineTickWidth[k]*this.pixelRatio),this.lineTickMirror[k]&&this._lines.drawAxisTicks(k,M[k].mirrorOffset,R,this.lineTickColor[k],this.lineTickWidth[k]*this.pixelRatio)}function N(t){(L=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio),k=0;k<3;++k){var U=M[k].primalMinor,V=M[k].mirrorMinor,H=u(x,M[k].primalOffset);for(O=0;O<3;++O)this.lineTickEnable[k]&&(H[O]+=A*U[O]*Math.max(this.lineTickLength[O],0)/r[5*O]);var q=[0,0,0];if(q[k]=1,this.tickEnable[k]){for(-3600===this.tickAngle[k]?(this.tickAngle[k]=0,this.tickAlign[k]="auto"):this.tickAlign[k]=-1,E=1,"auto"===(S=[this.tickAlign[k],.5,E])[0]?S[0]=0:S[0]=parseInt(""+S[0]),L=[0,0,0],j(k,U,V),O=0;O<3;++O)H[O]+=A*U[O]*this.tickPad[O]/r[5*O];this._text.drawTicks(k,this.tickSize[k],this.tickAngle[k],H,this.tickColor[k],q,L,S)}if(this.labelEnable[k]){for(E=0,L=[0,0,0],this.labels[k].length>4&&(N(k),E=1),"auto"===(S=[this.labelAlign[k],.5,E])[0]?S[0]=0:S[0]=parseInt(""+S[0]),O=0;O<3;++O)H[O]+=A*U[O]*this.labelPad[O]/r[5*O];H[k]+=.5*(a[0][k]+a[1][k]),this._text.drawLabel(k,this.labelSize[k],this.labelAngle[k],H,this.labelColor[k],[0,0,0],L,S)}}this._text.unbind()},f.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},1011:function(t,e,r){"use strict";t.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var u=(l+1)%3,c=(l+2)%3,f=[0,0,0],h=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=p,h[l]=p;for(var d=-1;d<=1;d+=2){f[u]=d;for(var v=-1;v<=1;v+=2)f[c]=v,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var g=u;u=c,c=g}var y=n(t,new Float32Array(e)),m=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:y,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:y,type:t.FLOAT,size:3,offset:12,stride:24}],m),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,y,x,b)};var n=r(5827),i=r(2944),a=r(1943).bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},2864:function(t,e,r){"use strict";t.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var m=0,x=0;x<2;++x){c[2]=a[x][2];for(var b=0;b<2;++b){c[1]=a[b][1];for(var _=0;_<2;++_)c[0]=a[_][0],h(l[m],c,s),m+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],A=0;A<3;++A)u[x][A]=l[x][A]/T;p&&(u[x][2]*=-1),T<0&&(w<0||u[x][2]<u[w][2])&&(w=x)}if(w<0){w=0;for(var k=0;k<3;++k){for(var M=(k+2)%3,S=(k+1)%3,E=-1,L=-1,C=0;C<2;++C){var P=(I=C<<k)+(C<<M)+(1-C<<S),O=I+(1-C<<M)+(C<<S);o(u[I],u[P],u[O],f)<0||(C?E=1:L=1)}if(E<0||L<0)L>E&&(w|=1<<k);else{for(C=0;C<2;++C){P=(I=C<<k)+(C<<M)+(1-C<<S),O=I+(1-C<<M)+(C<<S);var I,D=d([l[I],l[P],l[O],l[I+(1<<M)+(1<<S)]]);C?E=D:L=D}L>E&&(w|=1<<k)}}}var z=7^w,R=-1;for(x=0;x<8;++x)x!==w&&x!==z&&(R<0||u[R][1]>u[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x)(N=R^1<<x)!==w&&N!==z&&(F<0&&(F=N),(S=u[N])[0]<u[F][0]&&(F=N));var B=-1;for(x=0;x<3;++x){var N;(N=R^1<<x)!==w&&N!==z&&N!==F&&(B<0&&(B=N),(S=u[N])[0]>u[B][0]&&(B=N))}var j=v;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===z?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=g,H=w;for(k=0;k<3;++k)V[k]=H&1<<k?-1:1;return y};var n=r(2288),i=r(104),a=r(4670),o=r(417),s=new Array(16),l=new Array(8),u=new Array(8),c=new Array(3),f=[0,0,0];function h(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var i=0;i<3;++i)t[n]+=e[i]*r[4*i+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],u[t]=[1,1,1]}();var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function d(t){for(var e=0;e<p.length;++e)if((t=a.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],i=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],u=s[0]/s[3]-n,c=s[1]/s[3]-i,f=l[0]/l[3]-n,h=l[1]/l[3]-i;o+=Math.abs(u*h-c*f)}return o}var v=[1,1,1],g=[0,0,0],y={cubeEdges:v,axis:g}},1681:function(t,e,r){"use strict";t.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],u=[0,0,0],c=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var f=0;f<3;++f){for(var h=o.length/3|0,d=0;d<r[f].length;++d){var v=+r[f][d].x;o.push(v,0,1,v,1,1,v,0,-1,v,0,-1,v,1,1,v,1,-1)}var g=o.length/3|0;s[f]=h,l[f]=g-h,h=o.length/3|0;for(var y=0;y<r[f].length;++y)v=+r[f][y].x,o.push(v,0,1,v,1,1,v,0,-1,v,0,-1,v,1,1,v,1,-1);g=o.length/3|0,u[f]=h,c[f]=g-h}var m=n(t,new Float32Array(o)),x=i(t,[{buffer:m,type:t.FLOAT,size:3,stride:0,offset:0}]),b=a(t);return b.attributes.position.location=0,new p(t,m,x,b,l,s,c,u)};var n=r(5827),i=r(2944),a=r(1943).j,o=[0,0,0],s=[0,0,0],l=[0,0,0],u=[0,0,0],c=[1,1];function f(t){return t[0]=t[1]=t[2]=0,t}function h(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,i,a,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=i,this.tickOffset=a,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,c[0]=this.gl.drawingBufferWidth,c[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=c,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,i){var a=f(s);this.shader.uniforms.majorAxis=s,a[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=a;var o,c=h(u,r);c[t]+=e[0][t],this.shader.uniforms.offset=c,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=n,(o=f(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=f(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,i){if(this.tickCount[t]){var a=f(o);a[t]=1,this.shader.uniforms.majorAxis=a,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=i;var s=f(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},d.drawGrid=function(t,e,r,n,i,a){if(this.gridCount[t]){var c=f(s);c[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=c;var p=h(u,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=f(o);d[t]=1,this.shader.uniforms.majorAxis=d;var v=f(l);v[t]=1,this.shader.uniforms.screenAxis=v,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,i,a){var o=f(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var c=h(u,n);c[t]+=r[0][t],this.shader.uniforms.offset=c;var p=f(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},1943:function(t,e,r){"use strict";var n=r(6832),i=r(5158),a=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\n\nuniform mat4 model, view, projection;\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\nuniform float lineWidth;\nuniform vec2 screenShape;\n\nvec3 project(vec3 p) {\n  vec4 pp = projection * view * model * vec4(p, 1.0);\n  return pp.xyz / max(pp.w, 0.0001);\n}\n\nvoid main() {\n  vec3 major = position.x * majorAxis;\n  vec3 minor = position.y * minorAxis;\n\n  vec3 vPosition = major + minor + offset;\n  vec3 pPosition = project(vPosition);\n  vec3 offset = project(vPosition + screenAxis * position.z);\n\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\n\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\n}\n"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 color;\nvoid main() {\n  gl_FragColor = color;\n}"]);e.j=function(t){return i(t,a,o,null,[{name:"position",type:"vec3"}])};var s=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\n\nuniform mat4 model, view, projection;\nuniform vec3 offset, axis, alignDir, alignOpt;\nuniform float scale, angle, pixelScale;\nuniform vec2 resolution;\n\nvec3 project(vec3 p) {\n  vec4 pp = projection * view * model * vec4(p, 1.0);\n  return pp.xyz / max(pp.w, 0.0001);\n}\n\nfloat computeViewAngle(vec3 a, vec3 b) {\n  vec3 A = project(a);\n  vec3 B = project(b);\n\n  return atan(\n    (B.y - A.y) * resolution.y,\n    (B.x - A.x) * resolution.x\n  );\n}\n\nconst float PI = 3.141592;\nconst float TWO_PI = 2.0 * PI;\nconst float HALF_PI = 0.5 * PI;\nconst float ONE_AND_HALF_PI = 1.5 * PI;\n\nint option = int(floor(alignOpt.x + 0.001));\nfloat hv_ratio =       alignOpt.y;\nbool enableAlign =    (alignOpt.z != 0.0);\n\nfloat mod_angle(float a) {\n  return mod(a, PI);\n}\n\nfloat positive_angle(float a) {\n  return mod_angle((a < 0.0) ?\n    a + TWO_PI :\n    a\n  );\n}\n\nfloat look_upwards(float a) {\n  float b = positive_angle(a);\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\n    b - PI :\n    b;\n}\n\nfloat look_horizontal_or_vertical(float a, float ratio) {\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\n  // if ratio is set to 0.5 then it is 50%, 50%.\n  // when using a higher ratio e.g. 0.75 the result would\n  // likely be more horizontal than vertical.\n\n  float b = positive_angle(a);\n\n  return\n    (b < (      ratio) * HALF_PI) ? 0.0 :\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\n                                    0.0;\n}\n\nfloat roundTo(float a, float b) {\n  return float(b * floor((a + 0.5 * b) / b));\n}\n\nfloat look_round_n_directions(float a, int n) {\n  float b = positive_angle(a);\n  float div = TWO_PI / float(n);\n  float c = roundTo(b, div);\n  return look_upwards(c);\n}\n\nfloat applyAlignOption(float rawAngle, float delta) {\n  return\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\n                    rawAngle;                // otherwise return back raw input angle\n}\n\nbool isAxisTitle = (axis.x == 0.0) &&\n                   (axis.y == 0.0) &&\n                   (axis.z == 0.0);\n\nvoid main() {\n  //Compute world offset\n  float axisDistance = position.z;\n  vec3 dataPosition = axisDistance * axis + offset;\n\n  float beta = angle; // i.e. user defined attributes for each tick\n\n  float axisAngle;\n  float clipAngle;\n  float flip;\n\n  if (enableAlign) {\n    axisAngle = (isAxisTitle) ? HALF_PI :\n                      computeViewAngle(dataPosition, dataPosition + axis);\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\n\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\n\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\n\n    beta += applyAlignOption(clipAngle, flip * PI);\n  }\n\n  //Compute plane offset\n  vec2 planeCoord = position.xy * pixelScale;\n\n  mat2 planeXform = scale * mat2(\n     cos(beta), sin(beta),\n    -sin(beta), cos(beta)\n  );\n\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\n\n  //Compute clip position\n  vec3 clipPosition = project(dataPosition);\n\n  //Apply text offset in clip coordinates\n  clipPosition += vec3(viewOffset, 0.0);\n\n  //Done\n  gl_Position = vec4(clipPosition, 1.0);\n}"]),l=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 color;\nvoid main() {\n  gl_FragColor = color;\n}"]);e.f=function(t){return i(t,s,l,null,[{name:"position",type:"vec3"}])};var u=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec3 normal;\n\nuniform mat4 model, view, projection;\nuniform vec3 enable;\nuniform vec3 bounds[2];\n\nvarying vec3 colorChannel;\n\nvoid main() {\n\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\n\n  vec3 realNormal = signAxis * normal;\n\n  if(dot(realNormal, enable) > 0.0) {\n    vec3 minRange = min(bounds[0], bounds[1]);\n    vec3 maxRange = max(bounds[0], bounds[1]);\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\n    gl_Position = projection * view * model * vec4(nPosition, 1.0);\n  } else {\n    gl_Position = vec4(0,0,0,0);\n  }\n\n  colorChannel = abs(realNormal);\n}"]),c=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 colors[3];\n\nvarying vec3 colorChannel;\n\nvoid main() {\n  gl_FragColor = colorChannel.x * colors[0] +\n                 colorChannel.y * colors[1] +\n                 colorChannel.z * colors[2];\n}"]);e.bg=function(t){return i(t,u,c,null,[{name:"position",type:"vec3"},{name:"normal",type:"vec3"}])}},9557:function(t,e,r){"use strict";t.exports=function(t,e,r,i,o,l){var u=n(t),f=a(t,[{buffer:u,size:3}]),h=s(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,i,o,l),p};var n=r(5827),a=r(2944),o=r(875),s=r(1943).f,l=window||i.global||{},u=l.__TEXT_CACHE||{};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}l.__TEXT_CACHE={};var f=c.prototype,h=[0,0];f.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,h[0]=this.gl.drawingBufferWidth,h[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=h},f.unbind=function(){this.vao.unbind()},f.update=function(t,e,r,n,i){var a=[];function s(t,e,r,n,i,s){var l=u[r];l||(l=u[r]={});var c=l[e];c||(c=l[e]=function(t,e){try{return o(t,e)}catch(e){return console.warn('error vectorizing text:"'+t+'" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:"center",textBaseline:"middle",lineSpacing:i,styletags:s}));for(var f=(n||12)/12,h=c.positions,p=c.cells,d=0,v=p.length;d<v;++d)for(var g=p[d],y=2;y>=0;--y){var m=h[g[y]];a.push(f*m[0],-f*m[1],t)}}for(var l=[0,0,0],c=[0,0,0],f=[0,0,0],h=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){f[d]=a.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),h[d]=(a.length/3|0)-f[d],l[d]=a.length/3|0;for(var v=0;v<n[d].length;++v)n[d][v].text&&s(n[d][v].x,n[d][v].text,n[d][v].font||i,n[d][v].fontSize||12,1.25,p);c[d]=(a.length/3|0)-l[d]}this.buffer.update(a),this.tickOffset=l,this.tickCount=c,this.labelOffset=f,this.labelCount=h},f.drawTicks=function(t,e,r,n,i,a,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},f.drawLabel=function(t,e,r,n,i,a,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},f.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}},8468:function(t,e){"use 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h=e.model||u,p=e.view||u,y=e.projection||u,m=e._ortho||!1,x=t.bounds,b=(f=f||a(h,p,y,x,m)).axis;o(c,p,h),o(c,y,c);for(var _=v,w=0;w<3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var T=n(s(c,c));s(c,c);for(var A=0;A<3;++A){var k=(A+1)%3,M=(A+2)%3,S=g;t:for(w=0;w<2;++w){var E=[];if(b[A]<0!=!!w){S[A]=x[w][A];for(var L=0;L<2;++L){S[k]=x[L^w][k];for(var C=0;C<2;++C)S[M]=x[C^L^w][M],E.push(S.slice())}var P=m?5:4;for(L=P;L===P;++L){if(0===E.length)continue t;E=i.positive(E,T[L])}for(L=0;L<E.length;++L){M=E[L];var O=d(g,c,M,r,l);for(C=0;C<3;++C)_[C].lo=Math.min(_[C].lo,M[C]),_[C].hi=Math.max(_[C].hi,M[C]),C!==A&&(_[C].pixelsPerDataUnit=Math.min(_[C].pixelsPerDataUnit,Math.abs(O[C])))}}}}return _};var n=r(5795),i=r(4670),a=r(2864),o=r(104),s=r(2142),l=r(6342),u=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),c=new Float32Array(16);function f(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var h=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,i){for(var a=0;a<3;++a){for(var o=h,s=p,u=0;u<3;++u)s[u]=o[u]=r[u];s[3]=o[3]=1,s[a]+=1,l(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,l(o,o,e),o[3]<0&&(t[a]=1/0);var c=(o[0]/o[3]-s[0]/s[3])*n,f=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(c*c+f*f)}return t}var v=[new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0)],g=[0,0,0]},5827:function(t,e,r){"use strict";var n=r(5306),i=r(7498),a=r(5050),o=["uint8","uint8_clamped","uint16","uint32","int8","int16","int32","float32"];function s(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}var l=s.prototype;function u(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a<0)return t.bufferData(e,i,n),o;if(o+a>r)throw new Error("gl-buffer: If resizing buffer, must not specify offset");return t.bufferSubData(e,a,i),r}function c(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a<i;++a)r[a]=t[a];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if("number"!=typeof e&&(e=-1),this.bind(),"object"==typeof t&&void 0!==t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r="float32"),this.type===this.gl.ELEMENT_ARRAY_BUFFER&&(r=gl.getExtension("OES_element_index_uint")&&"uint16"!==r?"uint32":"uint16"),r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=u(this.gl,this.type,this.length,this.usage,t.data,e):this.length=u(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=u(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?c(t,"uint16"):c(t,"float32"),this.length=u(this.gl,this.type,this.length,this.usage,e<0?f:f.subarray(0,t.length),e),n.free(f)}else if("object"==typeof t&&"number"==typeof t.length)this.length=u(this.gl,this.type,this.length,this.usage,t,e);else{if("number"!=typeof t&&void 0!==t)throw new Error("gl-buffer: Invalid data type");if(e>=0)throw new Error("gl-buffer: Cannot specify offset when resizing buffer");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},t.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error("gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error("gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW");var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},1140:function(t,e,r){"use strict";var n=r(2858);t.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,u=1/0,c=-1/0,f=1/0,h=-1/0,p=null,d=null,v=[],g=1/0,y=!1,m=0;m<r.length;m++){var x=r[m];s=Math.min(x[0],s),l=Math.max(x[0],l),u=Math.min(x[1],u),c=Math.max(x[1],c),f=Math.min(x[2],f),h=Math.max(x[2],h);var b=i[m];if(n.length(b)>o&&(o=n.length(b)),m){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(g=Math.min(g,_),y=!1):y=!0}y||(p=x,d=b),v.push(b)}var w=[s,u,f],T=[l,c,h];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var A=1/o;isFinite(g)||(g=1),a.vectorScale=g;var k=t.coneSize||.5;t.absoluteConeSize&&(k=t.absoluteConeSize*A),a.coneScale=k,m=0;for(var M=0;m<r.length;m++)for(var S=(x=r[m])[0],E=x[1],L=x[2],C=v[m],P=n.length(C)*A,O=0;O<8;O++){a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vertexIntensity.push(P,P,P),a.vertexIntensity.push(P,P,P);var I=a.positions.length;a.cells.push([I-6,I-5,I-4],[I-3,I-2,I-1])}return a};var i=r(7234);t.exports.createMesh=r(5028),t.exports.createConeMesh=function(e,r){return t.exports.createMesh(e,r,{shaders:i,traceType:"cone"})}},5028:function(t,e,r){"use strict";var n=r(5158),i=r(5827),a=r(2944),o=r(8931),s=r(104),l=r(7437),u=r(5050),c=r(9156),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e,r,n,i,a,o,s,l,u,c){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=i,this.triangleVectors=a,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=u,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=c,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=f,this._view=f,this._projection=f,this._resolution=[1,1]}var p=h.prototype;p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,"lightPosition"in t&&(this.lightPosition=t.lightPosition),"opacity"in t&&(this.opacity=t.opacity),"ambient"in t&&(this.ambientLight=t.ambient),"diffuse"in t&&(this.diffuseLight=t.diffuse),"specular"in t&&(this.specularLight=t.specular),"roughness"in t&&(this.roughness=t.roughness),"fresnel"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=c({colormap:t,nshades:256,format:"rgba"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return u(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],f=[];this.cells=r,this.positions=n,this.vectors=i;var h=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,v=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],v=+t.vertexIntensityBounds[1];else for(var g=0;g<p.length;++g){var y=p[g];d=Math.min(d,y),v=Math.max(v,y)}else for(g=0;g<n.length;++g)y=n[g][2],d=Math.min(d,y),v=Math.max(v,y);for(this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],g=0;g<n.length;++g)for(var m=n[g],x=0;x<3;++x)!isNaN(m[x])&&isFinite(m[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],m[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],m[x]));var b=0;t:for(g=0;g<r.length;++g){var _=r[g];if(3===_.length){for(x=0;x<3;++x){m=n[T=_[x]];for(var w=0;w<3;++w)if(isNaN(m[w])||!isFinite(m[w]))continue t}for(x=0;x<3;++x){var T;m=n[T=_[2-x]],a.push(m[0],m[1],m[2],m[3]);var A=i[T];o.push(A[0],A[1],A[2],A[3]||0);var k,M=h;3===M.length?s.push(M[0],M[1],M[2],1):s.push(M[0],M[1],M[2],M[3]),k=p?[(p[T]-d)/(v-d),0]:[(m[2]-d)/(v-d),0],l.push(k[0],k[1]),f.push(g)}b+=1}}this.triangleCount=b,this.trianglePositions.update(a),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(f))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var u={model:r,view:n,projection:i,inverseModel:f.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};u.inverseModel=l(u.inverseModel,u.model),e.disable(e.CULL_FACE),this.texture.bind(0);var c=new Array(16);for(s(c,u.view,u.model),s(c,u.projection,c),l(c,c),o=0;o<3;++o)u.eyePosition[o]=c[12+o]/c[15];var h=c[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*c[4*o+3];for(o=0;o<3;++o){for(var p=c[12+o],d=0;d<3;++d)p+=c[4*d+o]*this.lightPosition[d];u.lightPosition[o]=p/h}if(this.triangleCount>0){var v=this.triShader;v.bind(),v.uniforms=u,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return"cone"===this.traceType?i.index=Math.floor(r[1]/48):"streamtube"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},t.exports=function(t,e,r){var s=r.shaders;1===arguments.length&&(t=(e=t).gl);var l=function(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}(t,s),c=function(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}(t,s),f=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));f.generateMipmap(),f.minFilter=t.LINEAR_MIPMAP_LINEAR,f.magFilter=t.LINEAR;var p=i(t),d=i(t),v=i(t),g=i(t),y=i(t),m=new h(t,f,l,c,p,d,y,v,g,a(t,[{buffer:p,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:v,type:t.FLOAT,size:4},{buffer:g,type:t.FLOAT,size:2},{buffer:d,type:t.FLOAT,size:4}]),r.traceType||"cone");return m.update(e),m}},7234:function(t,e,r){var n=r(6832),i=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n  // Return up-vector for only-z vector.\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n  // Assign z = 0, x = -b, y = a:\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n    return normalize(vec3(-v.y, v.x, 0.0));\n  } else {\n    return normalize(vec3(0.0, v.z, -v.y));\n  }\n}\n\n// Calculate the cone vertex and normal at the given index.\n//\n// The returned vertex is for a cone with its top at origin and height of 1.0,\n// pointing in the direction of the vector attribute.\n//\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\n// These vertices are used to make up the triangles of the cone by the following:\n//   segment + 0 top vertex\n//   segment + 1 perimeter vertex a+1\n//   segment + 2 perimeter vertex a\n//   segment + 3 center base vertex\n//   segment + 4 perimeter vertex a\n//   segment + 5 perimeter vertex a+1\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\n// To go from index to segment, floor(index / 6)\n// To go from segment to angle, 2*pi * (segment/segmentCount)\n// To go from index to segment index, index - (segment*6)\n//\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\n\n  const float segmentCount = 8.0;\n\n  float index = rawIndex - floor(rawIndex /\n    (segmentCount * 6.0)) *\n    (segmentCount * 6.0);\n\n  float segment = floor(0.001 + index/6.0);\n  float segmentIndex = index - (segment*6.0);\n\n  normal = -normalize(d);\n\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\n    return mix(vec3(0.0), -d, coneOffset);\n  }\n\n  float nextAngle = (\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\n  ) ? 1.0 : 0.0;\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\n\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\n  vec3 v2 = v1 - d;\n\n  vec3 u = getOrthogonalVector(d);\n  vec3 v = normalize(cross(u, d));\n\n  vec3 x = u * cos(angle) * length(d)*0.25;\n  vec3 y = v * sin(angle) * length(d)*0.25;\n  vec3 v3 = v2 + x + y;\n  if (segmentIndex < 3.0) {\n    vec3 tx = u * sin(angle);\n    vec3 ty = v * -cos(angle);\n    vec3 tangent = tx + ty;\n    normal = normalize(cross(v3 - v1, tangent));\n  }\n\n  if (segmentIndex == 0.0) {\n    return mix(d, vec3(0.0), coneOffset);\n  }\n  return v3;\n}\n\nattribute vec3 vector;\nattribute vec4 color, position;\nattribute vec2 uv;\n\nuniform float vectorScale, coneScale, coneOffset;\nuniform mat4 model, view, projection, inverseModel;\nuniform vec3 eyePosition, lightPosition;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  // Scale the vector magnitude to stay constant with\n  // model & view changes.\n  vec3 normal;\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n  //Lighting geometry parameters\n  vec4 cameraCoordinate = view * conePosition;\n  cameraCoordinate.xyz /= cameraCoordinate.w;\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\n  vec4 t_position  = view * conePosition;\n  gl_Position      = projection * t_position;\n\n  f_color          = color;\n  f_data           = conePosition.xyz;\n  f_position       = position.xyz;\n  f_uv             = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n  float NdotH = max(x, 0.0001);\n  float cos2Alpha = NdotH * NdotH;\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n  float roughness2 = roughness * roughness;\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n  return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n  vec3 lightDirection,\n  vec3 viewDirection,\n  vec3 surfaceNormal,\n  float roughness,\n  float fresnel) {\n\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n  //Half angle vector\n  vec3 H = normalize(lightDirection + viewDirection);\n\n  //Geometric term\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\n  float VdotH = max(dot(viewDirection, H), 0.000001);\n  float LdotH = max(dot(lightDirection, H), 0.000001);\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\n  float G = min(1.0, min(G1, G2));\n  \n  //Distribution term\n  float D = beckmannDistribution(NdotH, roughness);\n\n  //Fresnel term\n  float F = pow(1.0 - VdotN, fresnel);\n\n  //Multiply terms and done\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform sampler2D texture;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n  vec3 N = normalize(f_normal);\n  vec3 L = normalize(f_lightDirection);\n  vec3 V = normalize(f_eyeDirection);\n\n  if(gl_FrontFacing) {\n    N = -N;\n  }\n\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n\n  gl_FragColor = litColor * opacity;\n}\n"]),o=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n  // Return up-vector for only-z vector.\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n  // Assign z = 0, x = -b, y = a:\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n    return normalize(vec3(-v.y, v.x, 0.0));\n  } else {\n    return normalize(vec3(0.0, v.z, -v.y));\n  }\n}\n\n// Calculate the cone vertex and normal at the given index.\n//\n// The returned vertex is for a cone with its top at origin and height of 1.0,\n// pointing in the direction of the vector attribute.\n//\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\n// These vertices are used to make up the triangles of the cone by the following:\n//   segment + 0 top vertex\n//   segment + 1 perimeter vertex a+1\n//   segment + 2 perimeter vertex a\n//   segment + 3 center base vertex\n//   segment + 4 perimeter vertex a\n//   segment + 5 perimeter vertex a+1\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\n// To go from index to segment, floor(index / 6)\n// To go from segment to angle, 2*pi * (segment/segmentCount)\n// To go from index to segment index, index - (segment*6)\n//\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\n\n  const float segmentCount = 8.0;\n\n  float index = rawIndex - floor(rawIndex /\n    (segmentCount * 6.0)) *\n    (segmentCount * 6.0);\n\n  float segment = floor(0.001 + index/6.0);\n  float segmentIndex = index - (segment*6.0);\n\n  normal = -normalize(d);\n\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\n    return mix(vec3(0.0), -d, coneOffset);\n  }\n\n  float nextAngle = (\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\n  ) ? 1.0 : 0.0;\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\n\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\n  vec3 v2 = v1 - d;\n\n  vec3 u = getOrthogonalVector(d);\n  vec3 v = normalize(cross(u, d));\n\n  vec3 x = u * cos(angle) * length(d)*0.25;\n  vec3 y = v * sin(angle) * length(d)*0.25;\n  vec3 v3 = v2 + x + y;\n  if (segmentIndex < 3.0) {\n    vec3 tx = u * sin(angle);\n    vec3 ty = v * -cos(angle);\n    vec3 tangent = tx + ty;\n    normal = normalize(cross(v3 - v1, tangent));\n  }\n\n  if (segmentIndex == 0.0) {\n    return mix(d, vec3(0.0), coneOffset);\n  }\n  return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform float vectorScale, coneScale, coneOffset;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  vec3 normal;\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n  gl_Position = projection * view * conePosition;\n  f_id        = id;\n  f_position  = position.xyz;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3  clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n  gl_FragColor = vec4(pickId, f_id.xyz);\n}"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec4"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"vector",type:"vec3"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec4"},{name:"id",type:"vec4"},{name:"vector",type:"vec3"}]}},1950:function(t){t.exports={0:"NONE",1:"ONE",2:"LINE_LOOP",3:"LINE_STRIP",4:"TRIANGLES",5:"TRIANGLE_STRIP",6:"TRIANGLE_FAN",256:"DEPTH_BUFFER_BIT",512:"NEVER",513:"LESS",514:"EQUAL",515:"LEQUAL",516:"GREATER",517:"NOTEQUAL",518:"GEQUAL",519:"ALWAYS",768:"SRC_COLOR",769:"ONE_MINUS_SRC_COLOR",770:"SRC_ALPHA",771:"ONE_MINUS_SRC_ALPHA",772:"DST_ALPHA",773:"ONE_MINUS_DST_ALPHA",774:"DST_COLOR",775:"ONE_MINUS_DST_COLOR",776:"SRC_ALPHA_SATURATE",1024:"STENCIL_BUFFER_BIT",1028:"FRONT",1029:"BACK",1032:"FRONT_AND_BACK",1280:"INVALID_ENUM",1281:"INVALID_VALUE",1282:"INVALID_OPERATION",1285:"OUT_OF_MEMORY",1286:"INVALID_FRAMEBUFFER_OPERATION",2304:"CW",2305:"CCW",2849:"LINE_WIDTH",2884:"CULL_FACE",2885:"CULL_FACE_MODE",2886:"FRONT_FACE",2928:"DEPTH_RANGE",2929:"DEPTH_TEST",2930:"DEPTH_WRITEMASK",2931:"DEPTH_CLEAR_VALUE",2932:"DEPTH_FUNC",2960:"STENCIL_TEST",2961:"STENCIL_CLEAR_VALUE",2962:"STENCIL_FUNC",2963:"STENCIL_VALUE_MASK",2964:"STENCIL_FAIL",2965:"STENCIL_PASS_DEPTH_FAIL",2966:"STENCIL_PASS_DEPTH_PASS",2967:"STENCIL_REF",2968:"STENCIL_WRITEMASK",2978:"VIEWPORT",3024:"DITHER",3042:"BLEND",3088:"SCISSOR_BOX",3089:"SCISSOR_TEST",3106:"COLOR_CLEAR_VALUE",3107:"COLOR_WRITEMASK",3317:"UNPACK_ALIGNMENT",3333:"PACK_ALIGNMENT",3379:"MAX_TEXTURE_SIZE",3386:"MAX_VIEWPORT_DIMS",3408:"SUBPIXEL_BITS",3410:"RED_BITS",3411:"GREEN_BITS",3412:"BLUE_BITS",3413:"ALPHA_BITS",3414:"DEPTH_BITS",3415:"STENCIL_BITS",3553:"TEXTURE_2D",4352:"DONT_CARE",4353:"FASTEST",4354:"NICEST",5120:"BYTE",5121:"UNSIGNED_BYTE",5122:"SHORT",5123:"UNSIGNED_SHORT",5124:"INT",5125:"UNSIGNED_INT",5126:"FLOAT",5386:"INVERT",5890:"TEXTURE",6401:"STENCIL_INDEX",6402:"DEPTH_COMPONENT",6406:"ALPHA",6407:"RGB",6408:"RGBA",6409:"LUMINANCE",6410:"LUMINANCE_ALPHA",7680:"KEEP",7681:"REPLACE",7682:"INCR",7683:"DECR",7936:"VENDOR",7937:"RENDERER",7938:"VERSION",9728:"NEAREST",9729:"LINEAR",9984:"NEAREST_MIPMAP_NEAREST",9985:"LINEAR_MIPMAP_NEAREST",9986:"NEAREST_MIPMAP_LINEAR",9987:"LINEAR_MIPMAP_LINEAR",10240:"TEXTURE_MAG_FILTER",10241:"TEXTURE_MIN_FILTER",10242:"TEXTURE_WRAP_S",10243:"TEXTURE_WRAP_T",10497:"REPEAT",10752:"POLYGON_OFFSET_UNITS",16384:"COLOR_BUFFER_BIT",32769:"CONSTANT_COLOR",32770:"ONE_MINUS_CONSTANT_COLOR",32771:"CONSTANT_ALPHA",32772:"ONE_MINUS_CONSTANT_ALPHA",32773:"BLEND_COLOR",32774:"FUNC_ADD",32777:"BLEND_EQUATION_RGB",32778:"FUNC_SUBTRACT",32779:"FUNC_REVERSE_SUBTRACT",32819:"UNSIGNED_SHORT_4_4_4_4",32820:"UNSIGNED_SHORT_5_5_5_1",32823:"POLYGON_OFFSET_FILL",32824:"POLYGON_OFFSET_FACTOR",32854:"RGBA4",32855:"RGB5_A1",32873:"TEXTURE_BINDING_2D",32926:"SAMPLE_ALPHA_TO_COVERAGE",32928:"SAMPLE_COVERAGE",32936:"SAMPLE_BUFFERS",32937:"SAMPLES",32938:"SAMPLE_COVERAGE_VALUE",32939:"SAMPLE_COVERAGE_INVERT",32968:"BLEND_DST_RGB",32969:"BLEND_SRC_RGB",32970:"BLEND_DST_ALPHA",32971:"BLEND_SRC_ALPHA",33071:"CLAMP_TO_EDGE",33170:"GENERATE_MIPMAP_HINT",33189:"DEPTH_COMPONENT16",33306:"DEPTH_STENCIL_ATTACHMENT",33635:"UNSIGNED_SHORT_5_6_5",33648:"MIRRORED_REPEAT",33901:"ALIASED_POINT_SIZE_RANGE",33902:"ALIASED_LINE_WIDTH_RANGE",33984:"TEXTURE0",33985:"TEXTURE1",33986:"TEXTURE2",33987:"TEXTURE3",33988:"TEXTURE4",33989:"TEXTURE5",33990:"TEXTURE6",33991:"TEXTURE7",33992:"TEXTURE8",33993:"TEXTURE9",33994:"TEXTURE10",33995:"TEXTURE11",33996:"TEXTURE12",33997:"TEXTURE13",33998:"TEXTURE14",33999:"TEXTURE15",34e3:"TEXTURE16",34001:"TEXTURE17",34002:"TEXTURE18",34003:"TEXTURE19",34004:"TEXTURE20",34005:"TEXTURE21",34006:"TEXTURE22",34007:"TEXTURE23",34008:"TEXTURE24",34009:"TEXTURE25",34010:"TEXTURE26",34011:"TEXTURE27",34012:"TEXTURE28",34013:"TEXTURE29",34014:"TEXTURE30",34015:"TEXTURE31",34016:"ACTIVE_TEXTURE",34024:"MAX_RENDERBUFFER_SIZE",34041:"DEPTH_STENCIL",34055:"INCR_WRAP",34056:"DECR_WRAP",34067:"TEXTURE_CUBE_MAP",34068:"TEXTURE_BINDING_CUBE_MAP",34069:"TEXTURE_CUBE_MAP_POSITIVE_X",34070:"TEXTURE_CUBE_MAP_NEGATIVE_X",34071:"TEXTURE_CUBE_MAP_POSITIVE_Y",34072:"TEXTURE_CUBE_MAP_NEGATIVE_Y",34073:"TEXTURE_CUBE_MAP_POSITIVE_Z",34074:"TEXTURE_CUBE_MAP_NEGATIVE_Z",34076:"MAX_CUBE_MAP_TEXTURE_SIZE",34338:"VERTEX_ATTRIB_ARRAY_ENABLED",34339:"VERTEX_ATTRIB_ARRAY_SIZE",34340:"VERTEX_ATTRIB_ARRAY_STRIDE",34341:"VERTEX_ATTRIB_ARRAY_TYPE",34342:"CURRENT_VERTEX_ATTRIB",34373:"VERTEX_ATTRIB_ARRAY_POINTER",34466:"NUM_COMPRESSED_TEXTURE_FORMATS",34467:"COMPRESSED_TEXTURE_FORMATS",34660:"BUFFER_SIZE",34661:"BUFFER_USAGE",34816:"STENCIL_BACK_FUNC",34817:"STENCIL_BACK_FAIL",34818:"STENCIL_BACK_PASS_DEPTH_FAIL",34819:"STENCIL_BACK_PASS_DEPTH_PASS",34877:"BLEND_EQUATION_ALPHA",34921:"MAX_VERTEX_ATTRIBS",34922:"VERTEX_ATTRIB_ARRAY_NORMALIZED",34930:"MAX_TEXTURE_IMAGE_UNITS",34962:"ARRAY_BUFFER",34963:"ELEMENT_ARRAY_BUFFER",34964:"ARRAY_BUFFER_BINDING",34965:"ELEMENT_ARRAY_BUFFER_BINDING",34975:"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING",35040:"STREAM_DRAW",35044:"STATIC_DRAW",35048:"DYNAMIC_DRAW",35632:"FRAGMENT_SHADER",35633:"VERTEX_SHADER",35660:"MAX_VERTEX_TEXTURE_IMAGE_UNITS",35661:"MAX_COMBINED_TEXTURE_IMAGE_UNITS",35663:"SHADER_TYPE",35664:"FLOAT_VEC2",35665:"FLOAT_VEC3",35666:"FLOAT_VEC4",35667:"INT_VEC2",35668:"INT_VEC3",35669:"INT_VEC4",35670:"BOOL",35671:"BOOL_VEC2",35672:"BOOL_VEC3",35673:"BOOL_VEC4",35674:"FLOAT_MAT2",35675:"FLOAT_MAT3",35676:"FLOAT_MAT4",35678:"SAMPLER_2D",35680:"SAMPLER_CUBE",35712:"DELETE_STATUS",35713:"COMPILE_STATUS",35714:"LINK_STATUS",35715:"VALIDATE_STATUS",35716:"INFO_LOG_LENGTH",35717:"ATTACHED_SHADERS",35718:"ACTIVE_UNIFORMS",35719:"ACTIVE_UNIFORM_MAX_LENGTH",35720:"SHADER_SOURCE_LENGTH",35721:"ACTIVE_ATTRIBUTES",35722:"ACTIVE_ATTRIBUTE_MAX_LENGTH",35724:"SHADING_LANGUAGE_VERSION",35725:"CURRENT_PROGRAM",36003:"STENCIL_BACK_REF",36004:"STENCIL_BACK_VALUE_MASK",36005:"STENCIL_BACK_WRITEMASK",36006:"FRAMEBUFFER_BINDING",36007:"RENDERBUFFER_BINDING",36048:"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE",36049:"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME",36050:"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL",36051:"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE",36053:"FRAMEBUFFER_COMPLETE",36054:"FRAMEBUFFER_INCOMPLETE_ATTACHMENT",36055:"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT",36057:"FRAMEBUFFER_INCOMPLETE_DIMENSIONS",36061:"FRAMEBUFFER_UNSUPPORTED",36064:"COLOR_ATTACHMENT0",36096:"DEPTH_ATTACHMENT",36128:"STENCIL_ATTACHMENT",36160:"FRAMEBUFFER",36161:"RENDERBUFFER",36162:"RENDERBUFFER_WIDTH",36163:"RENDERBUFFER_HEIGHT",36164:"RENDERBUFFER_INTERNAL_FORMAT",36168:"STENCIL_INDEX8",36176:"RENDERBUFFER_RED_SIZE",36177:"RENDERBUFFER_GREEN_SIZE",36178:"RENDERBUFFER_BLUE_SIZE",36179:"RENDERBUFFER_ALPHA_SIZE",36180:"RENDERBUFFER_DEPTH_SIZE",36181:"RENDERBUFFER_STENCIL_SIZE",36194:"RGB565",36336:"LOW_FLOAT",36337:"MEDIUM_FLOAT",36338:"HIGH_FLOAT",36339:"LOW_INT",36340:"MEDIUM_INT",36341:"HIGH_INT",36346:"SHADER_COMPILER",36347:"MAX_VERTEX_UNIFORM_VECTORS",36348:"MAX_VARYING_VECTORS",36349:"MAX_FRAGMENT_UNIFORM_VECTORS",37440:"UNPACK_FLIP_Y_WEBGL",37441:"UNPACK_PREMULTIPLY_ALPHA_WEBGL",37442:"CONTEXT_LOST_WEBGL",37443:"UNPACK_COLORSPACE_CONVERSION_WEBGL",37444:"BROWSER_DEFAULT_WEBGL"}},6603:function(t,e,r){var n=r(1950);t.exports=function(t){return n[t]}},3110:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl,r=n(e),o=i(e,[{buffer:r,type:e.FLOAT,size:3,offset:0,stride:40},{buffer:r,type:e.FLOAT,size:4,offset:12,stride:40},{buffer:r,type:e.FLOAT,size:3,offset:28,stride:40}]),l=a(e);l.attributes.position.location=0,l.attributes.color.location=1,l.attributes.offset.location=2;var u=new s(e,r,o,l);return u.update(t),u};var n=r(5827),i=r(2944),a=r(7667),o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(t,e,r,n){this.gl=t,this.shader=n,this.buffer=e,this.vao=r,this.pixelRatio=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lineWidth=[1,1,1],this.capSize=[10,10,10],this.lineCount=[0,0,0],this.lineOffset=[0,0,0],this.opacity=1,this.hasAlpha=!1}var l=s.prototype;function u(t,e){for(var r=0;r<3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}l.isOpaque=function(){return!this.hasAlpha},l.isTransparent=function(){return this.hasAlpha},l.drawTransparent=l.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||o,i=r.projection=t.projection||o;r.model=t.model||o,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var a=n[12],s=n[13],l=n[14],u=n[15],c=(t._ortho?2:1)*this.pixelRatio*(i[3]*a+i[7]*s+i[11]*l+i[15]*u)/e.drawingBufferHeight;this.vao.bind();for(var f=0;f<3;++f)e.lineWidth(this.lineWidth[f]*this.pixelRatio),r.capSize=this.capSize[f]*c,this.lineCount[f]&&e.drawArrays(e.LINES,this.lineOffset[f],this.lineCount[f]);this.vao.unbind()};var c=function(){for(var t=new Array(3),e=0;e<3;++e){for(var r=[],n=1;n<=2;++n)for(var i=-1;i<=1;i+=2){var a=[0,0,0];a[(n+e)%3]=i,r.push(a)}t[e]=r}return t}();function f(t,e,r,n){for(var i=c[n],a=0;a<i.length;++a){var o=i[a];t.push(e[0],e[1],e[2],r[0],r[1],r[2],r[3],o[0],o[1],o[2])}return i.length}l.update=function(t){"lineWidth"in(t=t||{})&&(this.lineWidth=t.lineWidth,Array.isArray(this.lineWidth)||(this.lineWidth=[this.lineWidth,this.lineWidth,this.lineWidth])),"capSize"in t&&(this.capSize=t.capSize,Array.isArray(this.capSize)||(this.capSize=[this.capSize,this.capSize,this.capSize])),this.hasAlpha=!1,"opacity"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var e=t.color||[[0,0,0],[0,0,0],[0,0,0]],r=t.position,n=t.error;if(Array.isArray(e[0])||(e=[e,e,e]),r&&n){var i=[],a=r.length,o=0;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.lineCount=[0,0,0];for(var s=0;s<3;++s){this.lineOffset[s]=o;t:for(var l=0;l<a;++l){for(var c=r[l],h=0;h<3;++h)if(isNaN(c[h])||!isFinite(c[h]))continue t;var p,d=n[l],v=e[s];Array.isArray(v[0])&&(v=e[l]),3===v.length?v=[v[0],v[1],v[2],1]:4===v.length&&(v=[v[0],v[1],v[2],v[3]],!this.hasAlpha&&v[3]<1&&(this.hasAlpha=!0)),isNaN(d[0][s])||isNaN(d[1][s])||(d[0][s]<0&&((p=c.slice())[s]+=d[0][s],i.push(c[0],c[1],c[2],v[0],v[1],v[2],v[3],0,0,0,p[0],p[1],p[2],v[0],v[1],v[2],v[3],0,0,0),u(this.bounds,p),o+=2+f(i,p,v,s)),d[1][s]>0&&((p=c.slice())[s]+=d[1][s],i.push(c[0],c[1],c[2],v[0],v[1],v[2],v[3],0,0,0,p[0],p[1],p[2],v[0],v[1],v[2],v[3],0,0,0),u(this.bounds,p),o+=2+f(i,p,v,s)))}this.lineCount[s]=o-this.lineOffset[s]}this.buffer.update(i)}},l.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()}},7667:function(t,e,r){"use strict";var n=r(6832),i=r(5158),a=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, offset;\nattribute vec4 color;\nuniform mat4 model, view, projection;\nuniform float capSize;\nvarying vec4 fragColor;\nvarying vec3 fragPosition;\n\nvoid main() {\n  vec4 worldPosition  = model * vec4(position, 1.0);\n  worldPosition       = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\n  gl_Position         = projection * view * worldPosition;\n  fragColor           = color;\n  fragPosition        = position;\n}"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float opacity;\nvarying vec3 fragPosition;\nvarying vec4 fragColor;\n\nvoid main() {\n  if (\n    outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\n    fragColor.a * opacity == 0.\n  ) discard;\n\n  gl_FragColor = opacity * fragColor;\n}"]);t.exports=function(t){return i(t,a,o,null,[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"offset",type:"vec3"}])}},4234:function(t,e,r){"use strict";var n=r(8931);t.exports=function(t,e,r,n){i||(i=t.FRAMEBUFFER_UNSUPPORTED,a=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var u=t.getExtension("WEBGL_draw_buffers");if(!l&&u&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var i=new Array(r),a=0;a<n;++a)i[a]=t.COLOR_ATTACHMENT0+a;for(a=n;a<r;++a)i[a]=t.NONE;l[n]=i}}(t,u),Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]),"number"!=typeof e)throw new Error("gl-fbo: Missing shape parameter");var c=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>c||r<0||r>c)throw new Error("gl-fbo: Parameters are too large for FBO");var f=1;if("color"in(n=n||{})){if((f=Math.max(0|n.color,0))<0)throw new Error("gl-fbo: Must specify a nonnegative number of colors");if(f>1){if(!u)throw new Error("gl-fbo: Multiple draw buffer extension not supported");if(f>t.getParameter(u.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error("gl-fbo: Context does not support "+f+" draw buffers")}}var h=t.UNSIGNED_BYTE,p=t.getExtension("OES_texture_float");if(n.float&&f>0){if(!p)throw new Error("gl-fbo: Context does not support floating point textures");h=t.FLOAT}else n.preferFloat&&f>0&&p&&(h=t.FLOAT);var v=!0;"depth"in n&&(v=!!n.depth);var g=!1;return"stencil"in n&&(g=!!n.stencil),new d(t,e,r,h,f,v,g,u)};var i,a,o,s,l=null;function u(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function c(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function f(t){switch(t){case i:throw new Error("gl-fbo: Framebuffer unsupported");case a:throw new Error("gl-fbo: Framebuffer incomplete attachment");case o:throw new Error("gl-fbo: Framebuffer incomplete dimensions");case s:throw new Error("gl-fbo: Framebuffer incomplete missing attachment");default:throw new Error("gl-fbo: Framebuffer failed for unspecified reason")}}function h(t,e,r,i,a,o){if(!i)return null;var s=n(t,e,r,a,i);return s.magFilter=t.NEAREST,s.minFilter=t.NEAREST,s.mipSamples=1,s.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,o,t.TEXTURE_2D,s.handle,0),s}function p(t,e,r,n,i){var a=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function d(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var d=0;d<i;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var v=this,g=[0|e,0|r];Object.defineProperties(g,{0:{get:function(){return v._shape[0]},set:function(t){return v.width=t}},1:{get:function(){return v._shape[1]},set:function(t){return v.height=t}}}),this._shapeVector=g,function(t){var e=u(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),i=t._shape[0],a=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,v=t._useDepth,g=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var y=0;y<o;++y)t.color[y]=h(r,i,a,g,r.RGBA,r.COLOR_ATTACHMENT0+y);0===o?(t._color_rb=p(r,i,a,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var m=r.getExtension("WEBGL_depth_texture");m?d?t.depth=h(r,i,a,m.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):v&&(t.depth=h(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):v&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):v?t._depth_rb=p(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){for(t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null),y=0;y<t.color.length;++y)t.color[y].dispose(),t.color[y]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),c(r,e),f(x)}c(r,e)}(this)}var v=d.prototype;function g(t,e,r){if(t._destroyed)throw new Error("gl-fbo: Can't resize destroyed FBO");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,i=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>i||r<0||r>i)throw new Error("gl-fbo: Can't resize FBO, invalid dimensions");t._shape[0]=e,t._shape[1]=r;for(var a=u(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),c(n,a),f(s)),c(n,a)}}Object.defineProperties(v,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error("gl-fbo: Shape vector must be length 2");var e=0|t[0],r=0|t[1];return g(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return g(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,g(this,this._shape[0],t),t},enumerable:!1}}),v.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},v.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},3530:function(t,e,r){var n=r(8974).sprintf,i=r(6603),a=r(9365),o=r(8008);t.exports=function(t,e,r){"use strict";var s=a(e)||"of unknown name (see npm glsl-shader-name)",l="unknown type";void 0!==r&&(l=r===i.FRAGMENT_SHADER?"fragment":"vertex");for(var u=n("Error compiling %s shader %s:\n",l,s),c=n("%s%s",u,t),f=t.split("\n"),h={},p=0;p<f.length;p++){var d=f[p];if(""!==d&&"\0"!==d){var v=parseInt(d.split(":")[2]);if(isNaN(v))throw new Error(n("Could not parse error: %s",d));h[v]=d}}var g=o(e).split("\n");for(p=0;p<g.length;p++)if((h[p+3]||h[p+2]||h[p+1])&&(u+=g[p]+"\n",h[p+1])){var y=h[p+1];y=y.substr(y.split(":",3).join(":").length+1).trim(),u+=n("^^^ %s\n\n",y)}return{long:u.trim(),short:c.trim()}}},6386:function(t,e,r){"use strict";t.exports=function(t,e){var r=t.gl,n=new u(t,o(r,l.vertex,l.fragment),o(r,l.pickVertex,l.pickFragment),s(r),s(r),s(r),s(r));return n.update(e),t.addObject(n),n};var n=r(5070),i=r(9560),a=r(5306),o=r(5158),s=r(5827),l=r(1292);function u(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var c,f=u.prototype,h=[0,0,1,0,0,1,1,0,1,1,0,1];f.draw=(c=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var i=t.gl,a=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=a[2]-a[0],u=a[3]-a[1];c[0]=2*o/l,c[4]=2*s/u,c[6]=2*(r[0]-a[0])/l-1,c[7]=2*(r[1]-a[1])/u-1,e.bind();var f=e.uniforms;f.viewTransform=c,f.shape=this.shape;var h=e.attributes;this.positionBuffer.bind(),h.position.pointer(),this.weightBuffer.bind(),h.weight.pointer(i.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),h.color.pointer(i.UNSIGNED_BYTE,!0),i.drawArrays(i.TRIANGLES,0,n)}}),f.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,u=a[2]-a[0],c=a[3]-a[1],f=l[2]-l[0],h=l[3]-l[1];t[0]=2*u/f,t[4]=2*c/h,t[6]=2*(a[0]-l[0])/f-1,t[7]=2*(a[1]-l[1])/h-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var v=i.attributes;return this.positionBuffer.bind(),v.position.pointer(),this.weightBuffer.bind(),v.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),v.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r<n||r>=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},f.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var u,c,f,p,d=t.colorLevels||[0],v=t.colorValues||[0,0,0,1],g=d.length,y=this.bounds;l?(u=y[0]=r[0],c=y[1]=o[0],f=y[2]=r[r.length-1],p=y[3]=o[o.length-1]):(u=y[0]=r[0]+(r[1]-r[0])/2,c=y[1]=o[0]+(o[1]-o[0])/2,f=y[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=y[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var m=1/(f-u),x=1/(p-c),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(h.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),A=a.mallocFloat32(2*w),k=a.mallocUint8(2*w),M=a.mallocUint32(w),S=0,E=l?b-1:b,L=l?_-1:_,C=0;C<L;++C){var P,O;l?(P=x*(o[C]-c),O=x*(o[C+1]-c)):(P=C<_-1?x*(o[C]-(o[C+1]-o[C])/2-c):x*(o[C]-(o[C]-o[C-1])/2-c),O=C<_-1?x*(o[C]+(o[C+1]-o[C])/2-c):x*(o[C]+(o[C]-o[C-1])/2-c));for(var I=0;I<E;++I){var D,z;l?(D=m*(r[I]-u),z=m*(r[I+1]-u)):(D=I<b-1?m*(r[I]-(r[I+1]-r[I])/2-u):m*(r[I]-(r[I]-r[I-1])/2-u),z=I<b-1?m*(r[I]+(r[I+1]-r[I])/2-u):m*(r[I]+(r[I]-r[I-1])/2-u));for(var R=0;R<h.length;R+=2){var F,B,N,j,U=h[R],V=h[R+1],H=s[l?(C+V)*b+(I+U):C*b+I],q=n.le(d,H);if(q<0)F=v[0],B=v[1],N=v[2],j=v[3];else if(q===g-1)F=v[4*g-4],B=v[4*g-3],N=v[4*g-2],j=v[4*g-1];else{var G=(H-d[q])/(d[q+1]-d[q]),Y=1-G,W=4*q,Z=4*(q+1);F=Y*v[W]+G*v[Z],B=Y*v[W+1]+G*v[Z+1],N=Y*v[W+2]+G*v[Z+2],j=Y*v[W+3]+G*v[Z+3]}T[4*S]=255*F,T[4*S+1]=255*B,T[4*S+2]=255*N,T[4*S+3]=255*j,A[2*S]=.5*D+.5*z,A[2*S+1]=.5*P+.5*O,k[2*S]=U,k[2*S+1]=V,M[S]=C*b+I,S+=1}}}this.positionBuffer.update(A),this.weightBuffer.update(k),this.colorBuffer.update(T),this.idBuffer.update(M),a.free(A),a.free(T),a.free(k),a.free(M)},f.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},1292:function(t,e,r){"use strict";var n=r(6832);t.exports={fragment:n(["precision lowp float;\n#define GLSLIFY 1\nvarying vec4 fragColor;\nvoid main() {\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\n}\n"]),vertex:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec4 color;\nattribute vec2 weight;\n\nuniform vec2 shape;\nuniform mat3 viewTransform;\n\nvarying vec4 fragColor;\n\nvoid main() {\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\n  fragColor = color;\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\n}\n"]),pickFragment:n(["precision mediump float;\n#define GLSLIFY 1\n\nvarying vec4 fragId;\nvarying vec2 vWeight;\n\nuniform vec2 shape;\nuniform vec4 pickOffset;\n\nvoid main() {\n  vec2 d = step(.5, vWeight);\n  vec4 id = fragId + pickOffset;\n  id.x += d.x + d.y*shape.x;\n\n  id.y += floor(id.x / 256.0);\n  id.x -= floor(id.x / 256.0) * 256.0;\n\n  id.z += floor(id.y / 256.0);\n  id.y -= floor(id.y / 256.0) * 256.0;\n\n  id.w += floor(id.z / 256.0);\n  id.z -= floor(id.z / 256.0) * 256.0;\n\n  gl_FragColor = id/255.;\n}\n"]),pickVertex:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec4 pickId;\nattribute vec2 weight;\n\nuniform vec2 shape;\nuniform mat3 viewTransform;\n\nvarying vec4 fragId;\nvarying vec2 vWeight;\n\nvoid main() {\n  vWeight = weight;\n\n  fragId = pickId;\n\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\n}\n"])}},248:function(t,e,r){var n=r(6832),i=r(5158),a=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, nextPosition;\nattribute float arcLength, lineWidth;\nattribute vec4 color;\n\nuniform vec2 screenShape;\nuniform float pixelRatio;\nuniform mat4 model, view, projection;\n\nvarying vec4 fragColor;\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\n\nvec4 project(vec3 p) {\n  return projection * view * model * vec4(p, 1.0);\n}\n\nvoid main() {\n  vec4 startPoint = project(position);\n  vec4 endPoint   = project(nextPosition);\n\n  vec2 A = startPoint.xy / startPoint.w;\n  vec2 B =   endPoint.xy /   endPoint.w;\n\n  float clipAngle = atan(\n    (B.y - A.y) * screenShape.y,\n    (B.x - A.x) * screenShape.x\n  );\n\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\n    sin(clipAngle),\n    -cos(clipAngle)\n  ) / screenShape;\n\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\n\n  worldPosition = position;\n  pixelArcLength = arcLength;\n  fragColor = color;\n}\n"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3      clipBounds[2];\nuniform sampler2D dashTexture;\nuniform float     dashScale;\nuniform float     opacity;\n\nvarying vec3    worldPosition;\nvarying float   pixelArcLength;\nvarying vec4    fragColor;\n\nvoid main() {\n  if (\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\n    fragColor.a * opacity == 0.\n  ) discard;\n\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\n  if(dashWeight < 0.5) {\n    discard;\n  }\n  gl_FragColor = fragColor * opacity;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\n#define FLOAT_MAX  1.70141184e38\n#define FLOAT_MIN  1.17549435e-38\n\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\nvec4 packFloat(float v) {\n  float av = abs(v);\n\n  //Handle special cases\n  if(av < FLOAT_MIN) {\n    return vec4(0.0, 0.0, 0.0, 0.0);\n  } else if(v > FLOAT_MAX) {\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\n  } else if(v < -FLOAT_MAX) {\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\n  }\n\n  vec4 c = vec4(0,0,0,0);\n\n  //Compute exponent and mantissa\n  float e = floor(log2(av));\n  float m = av * pow(2.0, -e) - 1.0;\n\n  //Unpack mantissa\n  c[1] = floor(128.0 * m);\n  m -= c[1] / 128.0;\n  c[2] = floor(32768.0 * m);\n  m -= c[2] / 32768.0;\n  c[3] = floor(8388608.0 * m);\n\n  //Unpack exponent\n  float ebias = e + 127.0;\n  c[0] = floor(ebias / 2.0);\n  ebias -= c[0] * 2.0;\n  c[1] += floor(ebias) * 128.0;\n\n  //Unpack sign bit\n  c[0] += 128.0 * step(0.0, -v);\n\n  //Scale back to range\n  return c / 255.0;\n}\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform float pickId;\nuniform vec3 clipBounds[2];\n\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\nvarying vec4 fragColor;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\n\n  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\n}"]),l=[{name:"position",type:"vec3"},{name:"nextPosition",type:"vec3"},{name:"arcLength",type:"float"},{name:"lineWidth",type:"float"},{name:"color",type:"vec4"}];e.createShader=function(t){return i(t,a,o,null,l)},e.createPickShader=function(t){return i(t,a,s,null,l)}},6086:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=f(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=h(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),c=u(new Array(1024),[256,1,4]),p=0;p<1024;++p)c.data[p]=255;var d=a(e,c);d.wrap=e.REPEAT;var v=new y(e,r,o,s,l,d);return v.update(t),v};var n=r(5827),i=r(2944),a=r(8931),o=new Uint8Array(4),s=new Float32Array(o.buffer),l=r(5070),u=r(5050),c=r(248),f=c.createShader,h=c.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function v(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function g(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function y(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var m=y.prototype;m.isTransparent=function(){return this.hasAlpha},m.isOpaque=function(){return!this.hasAlpha},m.pickSlots=1,m.setPickBase=function(t){this.pickId=t},m.drawTransparent=m.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,clipBounds:v(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,pickId:this.pickId,clipBounds:v(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.update=function(t){var e,r;this.dirty=!0;var n=!!t.connectGaps;"dashScale"in t&&(this.dashScale=t.dashScale),this.hasAlpha=!1,"opacity"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var i=[],a=[],o=[],s=0,c=0,f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],h=t.position||t.positions;if(h){var p=t.color||t.colors||[0,0,0,1],v=t.lineWidth||1,g=!1;t:for(e=1;e<h.length;++e){var y,m,x,b=h[e-1],_=h[e];for(a.push(s),o.push(b.slice()),r=0;r<3;++r){if(isNaN(b[r])||isNaN(_[r])||!isFinite(b[r])||!isFinite(_[r])){if(!n&&i.length>0){for(var w=0;w<24;++w)i.push(i[i.length-12]);c+=2,g=!0}continue t}f[0][r]=Math.min(f[0][r],b[r],_[r]),f[1][r]=Math.max(f[1][r],b[r],_[r])}Array.isArray(p[0])?(y=p.length>e-1?p[e-1]:p.length>0?p[p.length-1]:[0,0,0,1],m=p.length>e?p[e]:p.length>0?p[p.length-1]:[0,0,0,1]):y=m=p,3===y.length&&(y=[y[0],y[1],y[2],1]),3===m.length&&(m=[m[0],m[1],m[2],1]),!this.hasAlpha&&y[3]<1&&(this.hasAlpha=!0),x=Array.isArray(v)?v.length>e-1?v[e-1]:v.length>0?v[v.length-1]:[0,0,0,1]:v;var T=s;if(s+=d(b,_),g){for(r=0;r<2;++r)i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,y[0],y[1],y[2],y[3]);c+=2,g=!1}i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,y[0],y[1],y[2],y[3],b[0],b[1],b[2],_[0],_[1],_[2],T,-x,y[0],y[1],y[2],y[3],_[0],_[1],_[2],b[0],b[1],b[2],s,-x,m[0],m[1],m[2],m[3],_[0],_[1],_[2],b[0],b[1],b[2],s,x,m[0],m[1],m[2],m[3]),c+=4}}if(this.buffer.update(i),a.push(s),o.push(h[h.length-1].slice()),this.bounds=f,this.vertexCount=c,this.points=o,this.arcLength=a,"dashes"in t){var A=t.dashes.slice();for(A.unshift(0),e=1;e<A.length;++e)A[e]=A[e-1]+A[e];var k=u(new Array(1024),[256,1,4]);for(e=0;e<256;++e){for(r=0;r<4;++r)k.set(e,0,r,0);1&l.le(A,A[A.length-1]*e/255)?k.set(e,0,0,0):k.set(e,0,0,255)}this.texture.setPixels(k)}},m.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()},m.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=function(t,e,r){return o[0]=0,o[1]=r,o[2]=e,o[3]=t,s[0]}(t.value[0],t.value[1],t.value[2]),r=l.le(this.arcLength,e);if(r<0)return null;if(r===this.arcLength.length-1)return new g(this.arcLength[this.arcLength.length-1],this.points[this.points.length-1].slice(),r);for(var n=this.points[r],i=this.points[Math.min(r+1,this.points.length-1)],a=(e-this.arcLength[r])/(this.arcLength[r+1]-this.arcLength[r]),u=1-a,c=[0,0,0],f=0;f<3;++f)c[f]=u*n[f]+a*i[f];var h=Math.min(a<.5?r:r+1,this.points.length-1);return new g(e,c,h,this.points[h])}},7332:function(t){t.exports=function(t){var e=new Float32Array(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e}},9823:function(t){t.exports=function(){var t=new Float32Array(16);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},7787:function(t){t.exports=function(t){var e=t[0],r=t[1],n=t[2],i=t[3],a=t[4],o=t[5],s=t[6],l=t[7],u=t[8],c=t[9],f=t[10],h=t[11],p=t[12],d=t[13],v=t[14],g=t[15];return(e*o-r*a)*(f*g-h*v)-(e*s-n*a)*(c*g-h*d)+(e*l-i*a)*(c*v-f*d)+(r*s-n*o)*(u*g-h*p)-(r*l-i*o)*(u*v-f*p)+(n*l-i*s)*(u*d-c*p)}},5950:function(t){t.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=r+r,s=n+n,l=i+i,u=r*o,c=n*o,f=n*s,h=i*o,p=i*s,d=i*l,v=a*o,g=a*s,y=a*l;return t[0]=1-f-d,t[1]=c+y,t[2]=h-g,t[3]=0,t[4]=c-y,t[5]=1-u-d,t[6]=p+v,t[7]=0,t[8]=h+g,t[9]=p-v,t[10]=1-u-f,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},7280:function(t){t.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=n+n,l=i+i,u=a+a,c=n*s,f=n*l,h=n*u,p=i*l,d=i*u,v=a*u,g=o*s,y=o*l,m=o*u;return t[0]=1-(p+v),t[1]=f+m,t[2]=h-y,t[3]=0,t[4]=f-m,t[5]=1-(c+v),t[6]=d+g,t[7]=0,t[8]=h+y,t[9]=d-g,t[10]=1-(c+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},9947:function(t){t.exports=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},7437:function(t){t.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],u=e[7],c=e[8],f=e[9],h=e[10],p=e[11],d=e[12],v=e[13],g=e[14],y=e[15],m=r*s-n*o,x=r*l-i*o,b=r*u-a*o,_=n*l-i*s,w=n*u-a*s,T=i*u-a*l,A=c*v-f*d,k=c*g-h*d,M=c*y-p*d,S=f*g-h*v,E=f*y-p*v,L=h*y-p*g,C=m*L-x*E+b*S+_*M-w*k+T*A;return C?(C=1/C,t[0]=(s*L-l*E+u*S)*C,t[1]=(i*E-n*L-a*S)*C,t[2]=(v*T-g*w+y*_)*C,t[3]=(h*w-f*T-p*_)*C,t[4]=(l*M-o*L-u*k)*C,t[5]=(r*L-i*M+a*k)*C,t[6]=(g*b-d*T-y*x)*C,t[7]=(c*T-h*b+p*x)*C,t[8]=(o*E-s*M+u*A)*C,t[9]=(n*M-r*E-a*A)*C,t[10]=(d*w-v*b+y*m)*C,t[11]=(f*b-c*w-p*m)*C,t[12]=(s*k-o*S-l*A)*C,t[13]=(r*S-n*k+i*A)*C,t[14]=(v*x-d*_-g*m)*C,t[15]=(c*_-f*x+h*m)*C,t):null}},3012:function(t,e,r){var n=r(9947);t.exports=function(t,e,r,i){var a,o,s,l,u,c,f,h,p,d,v=e[0],g=e[1],y=e[2],m=i[0],x=i[1],b=i[2],_=r[0],w=r[1],T=r[2];return Math.abs(v-_)<1e-6&&Math.abs(g-w)<1e-6&&Math.abs(y-T)<1e-6?n(t):(f=v-_,h=g-w,p=y-T,a=x*(p*=d=1/Math.sqrt(f*f+h*h+p*p))-b*(h*=d),o=b*(f*=d)-m*p,s=m*h-x*f,(d=Math.sqrt(a*a+o*o+s*s))?(a*=d=1/d,o*=d,s*=d):(a=0,o=0,s=0),l=h*s-p*o,u=p*a-f*s,c=f*o-h*a,(d=Math.sqrt(l*l+u*u+c*c))?(l*=d=1/d,u*=d,c*=d):(l=0,u=0,c=0),t[0]=a,t[1]=l,t[2]=f,t[3]=0,t[4]=o,t[5]=u,t[6]=h,t[7]=0,t[8]=s,t[9]=c,t[10]=p,t[11]=0,t[12]=-(a*v+o*g+s*y),t[13]=-(l*v+u*g+c*y),t[14]=-(f*v+h*g+p*y),t[15]=1,t)}},104:function(t){t.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],f=e[8],h=e[9],p=e[10],d=e[11],v=e[12],g=e[13],y=e[14],m=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*f+w*v,t[1]=x*i+b*l+_*h+w*g,t[2]=x*a+b*u+_*p+w*y,t[3]=x*o+b*c+_*d+w*m,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*f+w*v,t[5]=x*i+b*l+_*h+w*g,t[6]=x*a+b*u+_*p+w*y,t[7]=x*o+b*c+_*d+w*m,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*f+w*v,t[9]=x*i+b*l+_*h+w*g,t[10]=x*a+b*u+_*p+w*y,t[11]=x*o+b*c+_*d+w*m,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*f+w*v,t[13]=x*i+b*l+_*h+w*g,t[14]=x*a+b*u+_*p+w*y,t[15]=x*o+b*c+_*d+w*m,t}},5268:function(t){t.exports=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),u=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*u,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*u,t[15]=1,t}},1120:function(t){t.exports=function(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}},4422:function(t){t.exports=function(t,e,r,n){var 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r=0,a=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),a+=Math.pow(e[o]-t[1][o],2);return(r=Math.sqrt(r))+(a=Math.sqrt(a))<1e-6?[1,0]:[a/(r+a),r/(a+r)]}if(3===t.length){var s=[0,0];return i(t[0],t[1],t[2],e,s),n(t,s)}return[]}(c,e),y=0;for(f=0;f<3;++f){if(g[f]<-.001||g[f]>1.0001)return null;y+=g[f]}return Math.abs(y-1)>.001?null:[h,s(t,g),g]}},2056:function(t,e,r){var n=r(6832),i=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, normal;\nattribute vec4 color;\nattribute vec2 uv;\n\nuniform mat4 model\n           , view\n           , projection\n           , inverseModel;\nuniform vec3 eyePosition\n           , lightPosition;\n\nvarying vec3 f_normal\n           , f_lightDirection\n           , f_eyeDirection\n           , f_data;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvec4 project(vec3 p) {\n  return projection * view * model * vec4(p, 1.0);\n}\n\nvoid main() {\n  gl_Position      = project(position);\n\n  //Lighting geometry parameters\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\n  cameraCoordinate.xyz /= cameraCoordinate.w;\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\n  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n  f_color          = color;\n  f_data           = position;\n  f_uv             = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n  float NdotH = max(x, 0.0001);\n  float cos2Alpha = NdotH * NdotH;\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n  float roughness2 = roughness * roughness;\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n  return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n  vec3 lightDirection,\n  vec3 viewDirection,\n  vec3 surfaceNormal,\n  float roughness,\n  float fresnel) {\n\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n  //Half angle vector\n  vec3 H = normalize(lightDirection + viewDirection);\n\n  //Geometric term\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\n  float VdotH = max(dot(viewDirection, H), 0.000001);\n  float LdotH = max(dot(lightDirection, H), 0.000001);\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\n  float G = min(1.0, min(G1, G2));\n  \n  //Distribution term\n  float D = beckmannDistribution(NdotH, roughness);\n\n  //Fresnel term\n  float F = pow(1.0 - VdotN, fresnel);\n\n  //Multiply terms and done\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness\n            , fresnel\n            , kambient\n            , kdiffuse\n            , kspecular;\nuniform sampler2D texture;\n\nvarying vec3 f_normal\n           , f_lightDirection\n           , f_eyeDirection\n           , f_data;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (f_color.a == 0.0 ||\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\n  ) discard;\n\n  vec3 N = normalize(f_normal);\n  vec3 L = normalize(f_lightDirection);\n  vec3 V = normalize(f_eyeDirection);\n\n  if(gl_FrontFacing) {\n    N = -N;\n  }\n\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\n\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n\n  gl_FragColor = litColor * f_color.a;\n}\n"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 uv;\n\nuniform mat4 model, view, projection;\n\nvarying vec4 f_color;\nvarying vec3 f_data;\nvarying vec2 f_uv;\n\nvoid main() {\n  gl_Position = projection * view * model * vec4(position, 1.0);\n  f_color = color;\n  f_data  = position;\n  f_uv    = uv;\n}"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform sampler2D texture;\nuniform float opacity;\n\nvarying vec4 f_color;\nvarying vec3 f_data;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\n\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n}"]),l=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 uv;\nattribute float pointSize;\n\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\n  } else {\n    gl_Position = projection * view * model * vec4(position, 1.0);\n  }\n  gl_PointSize = pointSize;\n  f_color = color;\n  f_uv = uv;\n}"]),u=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform sampler2D texture;\nuniform float opacity;\n\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\n  if(dot(pointR, pointR) > 0.25) {\n    discard;\n  }\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n}"]),c=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  gl_Position = projection * view * model * vec4(position, 1.0);\n  f_id        = id;\n  f_position  = position;\n}"]),f=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3  clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n  gl_FragColor = vec4(pickId, f_id.xyz);\n}"]),h=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3  position;\nattribute float pointSize;\nattribute vec4  id;\n\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\n  } else {\n    gl_Position  = projection * view * model * vec4(position, 1.0);\n    gl_PointSize = pointSize;\n  }\n  f_id         = id;\n  f_position   = position;\n}"]),p=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\n\nuniform mat4 model, view, projection;\n\nvoid main() {\n  gl_Position = projection * view * model * vec4(position, 1.0);\n}"]),d=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec3 contourColor;\n\nvoid main() {\n  gl_FragColor = vec4(contourColor, 1.0);\n}\n"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec3"},{name:"normal",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"}]},e.wireShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"}]},e.pointShader={vertex:l,fragment:u,attributes:[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"pointSize",type:"float"}]},e.pickShader={vertex:c,fragment:f,attributes:[{name:"position",type:"vec3"},{name:"id",type:"vec4"}]},e.pointPickShader={vertex:h,fragment:f,attributes:[{name:"position",type:"vec3"},{name:"pointSize",type:"float"},{name:"id",type:"vec4"}]},e.contourShader={vertex:p,fragment:d,attributes:[{name:"position",type:"vec3"}]}},8116:function(t,e,r){"use strict";var n=r(5158),i=r(5827),a=r(2944),o=r(8931),s=r(115),l=r(104),u=r(7437),c=r(5050),f=r(9156),h=r(7212),p=r(5306),d=r(2056),v=r(4340),g=d.meshShader,y=d.wireShader,m=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,T,A,k,M,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=c,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=u,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=g,this.edgeUVs=y,this.edgeIds=v,this.edgeVAO=m,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=A,this.pointIds=b,this.pointVAO=k,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var A=T.prototype;function k(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function M(t){var e=n(t,m.vertex,m.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function S(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function E(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}A.isOpaque=function(){return!this.hasAlpha},A.isTransparent=function(){return this.hasAlpha},A.pickSlots=1,A.setPickBase=function(t){this.pickId=t},A.highlight=function(t){if(t&&this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var u=r[l],c=0;c<2;++c){var f=u[0];2===u.length&&(f=u[c]);for(var d=n[f][0],v=n[f][1],g=i[f],y=1-g,m=this.positions[d],x=this.positions[v],b=0;b<3;++b)o[s++]=g*m[b]+y*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},A.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,"contourEnable"in t&&(this.contourEnable=t.contourEnable),"contourColor"in t&&(this.contourColor=t.contourColor),"lineWidth"in t&&(this.lineWidth=t.lineWidth),"lightPosition"in t&&(this.lightPosition=t.lightPosition),this.hasAlpha=!1,"opacity"in t&&(this.opacity=t.opacity,this.opacity<1&&(this.hasAlpha=!0)),"opacityscale"in t&&(this.opacityscale=t.opacityscale,this.hasAlpha=!0),"ambient"in t&&(this.ambientLight=t.ambient),"diffuse"in t&&(this.diffuseLight=t.diffuse),"specular"in t&&(this.specularLight=t.specular),"roughness"in t&&(this.roughness=t.roughness),"fresnel"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t,e){for(var r=f({colormap:t,nshades:256,format:"rgba"}),n=new Uint8Array(1024),i=0;i<256;++i){for(var a=r[i],o=0;o<3;++o)n[4*i+o]=a[o];n[4*i+3]=e?255*k(i/255,e):255*a[3]}return c(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var i=[],a=[],l=[],u=[],h=[],p=[],d=[],v=[],g=[],y=[],m=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,T=t.cellNormals,A=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,M=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=s.faceNormals(r,n,M)),T||w||(w=s.vertexNormals(r,n,A));var S=t.vertexColors,E=t.cellColors,L=t.meshColor||[1,1,1,1],C=t.vertexUVs,P=t.vertexIntensity,O=t.cellUVs,I=t.cellIntensity,D=1/0,z=-1/0;if(!C&&!O)if(P)if(t.vertexIntensityBounds)D=+t.vertexIntensityBounds[0],z=+t.vertexIntensityBounds[1];else for(var R=0;R<P.length;++R){var F=P[R];D=Math.min(D,F),z=Math.max(z,F)}else if(I)if(t.cellIntensityBounds)D=+t.cellIntensityBounds[0],z=+t.cellIntensityBounds[1];else for(R=0;R<I.length;++R)F=I[R],D=Math.min(D,F),z=Math.max(z,F);else for(R=0;R<n.length;++R)F=n[R][2],D=Math.min(D,F),z=Math.max(z,F);this.intensity=P||I||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.pickVertex=!(I||E);var B=t.pointSizes,N=t.pointSize||1;for(this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],R=0;R<n.length;++R)for(var j=n[R],U=0;U<3;++U)!isNaN(j[U])&&isFinite(j[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],j[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],j[U]));var V=0,H=0,q=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[W=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;y.push(j[0],j[1],j[2]),Z=S?S[W]:E?E[R]:L,this.opacityscale&&P?a.push(Z[0],Z[1],Z[2],this.opacity*k((P[W]-D)/(z-D),this.opacityscale)):3===Z.length?m.push(Z[0],Z[1],Z[2],this.opacity):(m.push(Z[0],Z[1],Z[2],Z[3]*this.opacity),Z[3]<1&&(this.hasAlpha=!0)),X=C?C[W]:P?[(P[W]-D)/(z-D),0]:O?O[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],x.push(X[0],X[1]),B?b.push(B[W]):b.push(N),_.push(R),q+=1;break;case 2:for(U=0;U<2;++U){j=n[W=G[U]];for(var Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t}for(U=0;U<2;++U)j=n[W=G[U]],p.push(j[0],j[1],j[2]),Z=S?S[W]:E?E[R]:L,this.opacityscale&&P?a.push(Z[0],Z[1],Z[2],this.opacity*k((P[W]-D)/(z-D),this.opacityscale)):3===Z.length?d.push(Z[0],Z[1],Z[2],this.opacity):(d.push(Z[0],Z[1],Z[2],Z[3]*this.opacity),Z[3]<1&&(this.hasAlpha=!0)),X=C?C[W]:P?[(P[W]-D)/(z-D),0]:O?O[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],v.push(X[0],X[1]),g.push(R);H+=1;break;case 3:for(U=0;U<3;++U)for(j=n[W=G[U]],Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t;for(U=0;U<3;++U){var W,Z,X,J;j=n[W=G[2-U]],i.push(j[0],j[1],j[2]),(Z=S?S[W]:E?E[R]:L)?this.opacityscale&&P?a.push(Z[0],Z[1],Z[2],this.opacity*k((P[W]-D)/(z-D),this.opacityscale)):3===Z.length?a.push(Z[0],Z[1],Z[2],this.opacity):(a.push(Z[0],Z[1],Z[2],Z[3]*this.opacity),Z[3]<1&&(this.hasAlpha=!0)):a.push(.5,.5,.5,1),X=C?C[W]:P?[(P[W]-D)/(z-D),0]:O?O[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],u.push(X[0],X[1]),J=w?w[W]:T[R],l.push(J[0],J[1],J[2]),h.push(R)}V+=1}}this.pointCount=q,this.edgeCount=H,this.triangleCount=V,this.pointPositions.update(y),this.pointColors.update(m),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(v),this.edgeIds.update(new Uint32Array(g)),this.trianglePositions.update(i),this.triangleColors.update(a),this.triangleUVs.update(u),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(h))}},A.drawTransparent=A.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,inverseModel:w.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=u(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var c=new Array(16);for(l(c,s.view,s.model),l(c,s.projection,c),u(c,c),o=0;o<3;++o)s.eyePosition[o]=c[12+o]/c[15];var f,h=c[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*c[4*o+3];for(o=0;o<3;++o){for(var p=c[12+o],d=0;d<3;++d)p+=c[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/h}this.triangleCount>0&&((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&this.lineWidth>0&&((f=this.lineShader).bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()),this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((f=this.contourShader).bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},A.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};(s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},A.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;a<r.length;++a)i[a]=n[r[a]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],u=this.positions[r[1]],c=this.positions[r[2]],f=[(l[0]+u[0]+c[0])/3,(l[1]+u[1]+c[1])/3,(l[2]+u[2]+c[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:f}}var h=v(i,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!h)return null;var p=h[2],d=0;for(a=0;a<r.length;++a)d+=p[a]*this.intensity[r[a]];return{position:h[1],index:r[h[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[h[0]]]}},A.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},t.exports=function(t,e){if(1===arguments.length&&(t=(e=t).gl),!(t.getExtension("OES_standard_derivatives")||t.getExtension("MOZ_OES_standard_derivatives")||t.getExtension("WEBKIT_OES_standard_derivatives")))throw new Error("derivatives not supported");var r=function(t){var e=n(t,g.vertex,g.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}(t),s=function(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}(t),l=M(t),u=S(t),f=E(t),h=L(t),p=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=i(t),v=i(t),m=i(t),x=i(t),b=i(t),_=a(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:b,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:v,type:t.FLOAT,size:4},{buffer:m,type:t.FLOAT,size:2},{buffer:x,type:t.FLOAT,size:3}]),w=i(t),A=i(t),k=i(t),C=i(t),P=a(t,[{buffer:w,type:t.FLOAT,size:3},{buffer:C,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:A,type:t.FLOAT,size:4},{buffer:k,type:t.FLOAT,size:2}]),O=i(t),I=i(t),D=i(t),z=i(t),R=i(t),F=a(t,[{buffer:O,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:I,type:t.FLOAT,size:4},{buffer:D,type:t.FLOAT,size:2},{buffer:z,type:t.FLOAT,size:1}]),B=i(t),N=new T(t,p,r,s,l,u,f,h,d,b,v,m,x,_,w,C,A,k,P,O,R,I,D,z,F,B,a(t,[{buffer:B,type:t.FLOAT,size:3}]));return N.update(e),N}},4554:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl;return new o(t,n(e,[0,0,0,1,1,0,1,1]),i(e,a.boxVert,a.lineFrag))};var n=r(5827),i=r(5158),a=r(2709);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,u=o.prototype;u.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},u.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,i){var a=this.plot,o=this.shader,u=a.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=i,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),u.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},3016:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl;return new s(t,n(e),i(e,o.gridVert,o.gridFrag),i(e,o.tickVert,o.gridFrag))};var n=r(5827),i=r(5158),a=r(5070),o=r(2709);function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var u,c,f,h,p,d=s.prototype;d.draw=(u=[0,0],c=[0,0],f=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,i=t.gl,a=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,h=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,v=0;v<2;++v){var g=a[v],y=a[v+2]-g,m=.5*(o[v+2]+o[v]),x=o[v+2]-o[v];c[v]=2*y/x,u[v]=2*(g-m)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=u,r.uniforms.dataScale=c;var b=0;for(v=0;v<2;++v){f[0]=f[1]=0,f[v]=1,r.uniforms.dataAxis=f,r.uniforms.lineWidth=l[v]/(s[v+2]-s[v])*d,r.uniforms.color=h[v];var _=6*n[v].length;p[v]&&_&&i.drawArrays(i.TRIANGLES,b,_),b+=_}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],i=[0,0],o=[0,0];return function(){for(var s=this.plot,u=this.vbo,c=this.tickShader,f=this.ticks,h=s.gl,p=s._tickBounds,d=s.dataBox,v=s.viewBox,g=s.pixelRatio,y=s.screenBox,m=y[2]-y[0],x=y[3]-y[1],b=v[2]-v[0],_=v[3]-v[1],w=0;w<2;++w){var T=p[w],A=p[w+2]-T,k=.5*(d[w+2]+d[w]),M=d[w+2]-d[w];e[w]=2*A/M,t[w]=2*(T-k)/M}e[0]*=b/m,t[0]*=b/m,e[1]*=_/x,t[1]*=_/x,c.bind(),u.bind(),c.attributes.dataCoord.pointer();var S=c.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,L=s.tickMarkWidth,C=s.tickMarkColor,P=6*f[0].length,O=Math.min(a.ge(f[0],(d[0]-p[0])/(p[2]-p[0]),l),f[0].length),I=Math.min(a.gt(f[0],(d[2]-p[0])/(p[2]-p[0]),l),f[0].length),D=0+6*O,z=6*Math.max(0,I-O),R=Math.min(a.ge(f[1],(d[1]-p[1])/(p[3]-p[1]),l),f[1].length),F=Math.min(a.gt(f[1],(d[3]-p[1])/(p[3]-p[1]),l),f[1].length),B=P+6*R,N=6*Math.max(0,F-R);i[0]=2*(v[0]-E[1])/m-1,i[1]=(v[3]+v[1])/x-1,o[0]=E[1]*g/m,o[1]=L[1]*g/x,N&&(S.color=C[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(v[2]+v[0])/m-1,i[1]=2*(v[1]-E[0])/x-1,o[0]=L[0]*g/m,o[1]=E[0]*g/x,z&&(S.color=C[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,D,z)),i[0]=2*(v[2]+E[3])/m-1,i[1]=(v[3]+v[1])/x-1,o[0]=E[3]*g/m,o[1]=L[3]*g/x,N&&(S.color=C[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(v[2]+v[0])/m-1,i[1]=2*(v[3]+E[2])/x-1,o[0]=L[2]*g/m,o[1]=E[2]*g/x,z&&(S.color=C[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,D,z))}}(),d.update=(h=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),i=(this.plot.zeroLineEnable,0),a=[[],[]],o=0;o<2;++o)for(var s=a[o],l=e[o],u=r[o],c=r[o+2],f=0;f<l.length;++f){var d=(l[f].x-u)/(c-u);s.push(d);for(var v=0;v<6;++v)n[i++]=d,n[i++]=h[v],n[i++]=p[v]}this.ticks=a,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},1154:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl;return new o(t,n(e,[-1,-1,-1,1,1,-1,1,1]),i(e,a.lineVert,a.lineFrag))};var n=r(5827),i=r(5158),a=r(2709);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,u=o.prototype;u.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},u.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,i,a){var o=this.plot,u=this.shader,c=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,u.uniforms.start=s,u.uniforms.end=l,u.uniforms.width=i*o.pixelRatio,u.uniforms.color=a,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),u.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},2709:function(t,e,r){"use strict";var n=r(6832),i=n(["precision lowp float;\n#define GLSLIFY 1\nuniform vec4 color;\nvoid main() {\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\n}\n"]);t.exports={lineVert:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 coord;\n\nuniform vec4 screenBox;\nuniform vec2 start, end;\nuniform float width;\n\nvec2 perp(vec2 v) {\n  return vec2(v.y, -v.x);\n}\n\nvec2 screen(vec2 v) {\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\n}\n\nvoid main() {\n  vec2 delta = normalize(perp(start - end));\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\n}\n"]),lineFrag:i,textVert:n(["#define GLSLIFY 1\nattribute vec3 textCoordinate;\n\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\nuniform float angle;\n\nvoid main() {\n  float dataOffset  = textCoordinate.z;\n  vec2 glyphOffset  = textCoordinate.xy;\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\n    glyphMatrix * glyphOffset * textScale + screenOffset;\n  gl_Position = vec4(screenCoordinate, 0, 1);\n}\n"]),textFrag:i,gridVert:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 dataCoord;\n\nuniform vec2 dataAxis, dataShift, dataScale;\nuniform float lineWidth;\n\nvoid main() {\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\n  gl_Position = vec4(pos, 0, 1);\n}\n"]),gridFrag:i,boxVert:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 coord;\n\nuniform vec4 screenBox;\nuniform vec2 lo, hi;\n\nvec2 screen(vec2 v) {\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\n}\n\nvoid main() {\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\n}\n"]),tickVert:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 dataCoord;\n\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\n\nvoid main() {\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\n}\n"])}},5613:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl;return new l(t,n(e),i(e,s.textVert,s.textFrag))};var n=r(5827),i=r(5158),a=r(6946),o=r(5070),s=r(2709);function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var u,c,f,h,p,d,v=l.prototype;v.drawTicks=(u=[0,0],c=[0,0],f=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],i=this.tickOffset[t],a=e.gl,s=e.viewBox,l=e.dataBox,h=e.screenBox,p=e.pixelRatio,d=e.tickEnable,v=e.tickPad,g=e.tickColor,y=e.tickAngle,m=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],T=this.labelCount[t],A=o.lt(n,l[t]),k=o.le(n,l[t+2]);u[0]=u[1]=0,u[t]=1,c[t]=(s[2+t]+s[t])/(h[2+t]-h[t])-1;var M=2/h[2+(1^t)]-h[1^t];c[1^t]=M*s[1^t]-1,d[t]&&(c[1^t]-=M*p*v[t],A<k&&i[k]>i[A]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t],r.uniforms.angle=y[t],a.drawArrays(a.TRIANGLES,i[A],i[k]-i[A]))),m[t]&&T&&(c[1^t]-=M*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),c[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(c[1^t]+=M*p*v[t+2],A<k&&i[k]>i[A]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t+2],r.uniforms.angle=y[t+2],a.drawArrays(a.TRIANGLES,i[A],i[k]-i[A]))),m[t+2]&&T&&(c[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),v.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,u=r.pixelRatio;if(this.titleCount){for(var c=0;c<2;++c)e[c]=2*(o[c]*u-a[c])/(a[2+c]-a[c])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),v.bind=(h=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,u=.5*(n[o+2]+n[o]),c=n[o+2]-n[o],f=a[o],v=a[o+2]-f,g=i[o],y=i[o+2]-g;p[o]=2*l/c*v/y,h[o]=2*(s-u)/c*v/y}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=h,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),v.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,u=t.bounds;for(o=0;o<2;++o){var c=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e<h.length;++e){var p=h[e],d=p.x,v=p.text,g=p.font||"sans-serif";i=p.fontSize||12;for(var y=1/(u[o+2]-u[o]),m=u[o],x=v.split("\n"),b=0;b<x.length;b++)for(n=a(g,x[b]).data,r=0;r<n.length;r+=2)s.push(n[r]*i,-n[r+1]*i-b*i*1.2,(d-m)*y);c.push(Math.floor(s.length/3)),f.push(d)}this.tickOffset[o]=c,this.tickX[o]=f}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=a(t.labelFont[o],t.labels[o],{textAlign:"center"}).data,i=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=a(t.titleFont,t.title).data,i=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},v.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},2117:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl,r=new l(e,n(e,[e.drawingBufferWidth,e.drawingBufferHeight]));return r.grid=i(r),r.text=a(r),r.line=o(r),r.box=s(r),r.update(t),r};var n=r(2611),i=r(3016),a=r(5613),o=r(1154),s=r(4554);function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var u=l.prototype;function c(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function f(t,e){return t.x-e.x}u.setDirty=function(){this.dirty=this.pickDirty=!0},u.setOverlayDirty=function(){this.dirty=!0},u.nextDepthValue=function(){return this._depthCounter++/65536},u.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,i=this.pixelRatio,a=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var u=this.borderColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var c=this.backgroundColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var f=this.zeroLineEnable,h=this.zeroLineColor,p=this.zeroLineWidth;if(f[0]||f[1]){o.bind();for(var d=0;d<2;++d)if(f[d]&&n[d]<=0&&n[d+2]>=0){var v=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(v,e[1],v,e[3],p[d],h[d]):o.drawLine(e[0],v,e[2],v,p[d],h[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var g=this.borderLineEnable,y=this.borderLineWidth,m=this.borderLineColor;for(g[1]&&o.drawLine(r[0],r[1]-.5*y[1]*i,r[0],r[3]+.5*y[3]*i,y[1],m[1]),g[0]&&o.drawLine(r[0]-.5*y[0]*i,r[1],r[2]+.5*y[2]*i,r[1],y[0],m[0]),g[3]&&o.drawLine(r[2],r[1]-.5*y[1]*i,r[2],r[3]+.5*y[3]*i,y[3],m[3]),g[2]&&o.drawLine(r[0]-.5*y[0]*i,r[3],r[2]+.5*y[2]*i,r[3],y[2],m[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},u.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl,this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},u.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,i=this.viewBox,a=0|Math.round((t-i[0]/r)*n),o=0|Math.round((e-i[1]/r)*n),s=this.pickBuffer.query(a,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),u=this.objects,c=0;c<u.length;++c){var f=u[c].pick(a,o,l);if(f)return f}return null}},u.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},u.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},u.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},u.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]),this.screenBox,this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,i=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/i,10,10/i]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=c(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=c(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=c(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!("titleEnable"in t)||!!t.titleEnable,this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=c(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=c(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=c(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var a=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=a[s].slice(0);0!==l.length&&(l.sort(f),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:a}),this.text.update({bounds:o,ticks:a,labels:t.labels||["x","y"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||["sans-serif","sans-serif"],title:t.title||"",titleSize:t.titleSize||18,titleFont:t.titleFont||"sans-serif"}),this.static=!!t.static,this.setDirty()},u.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();for(this.objects.length=0,t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},u.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},u.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},u.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},u.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},4296:function(t,e,r){"use strict";t.exports=function(t,e){t=t||document.body;var r=[.01,1/0];"distanceLimits"in(e=e||{})&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]),"zoomMin"in e&&(r[0]=e.zoomMin),"zoomMax"in e&&(r[1]=e.zoomMax);var u=i({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||"orbit",distanceLimits:r}),c=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],f=0,h=t.clientWidth,p=t.clientHeight,d={keyBindingMode:"rotate",enableWheel:!0,view:u,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:u.modes,_ortho:e._ortho||e.projection&&"orthographic"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,i=e-2*r;u.idle(e-r),u.recalcMatrix(i),u.flush(e-(100+2*r));for(var a=!0,o=u.computedMatrix,s=0;s<16;++s)a=a&&c[s]===o[s],c[s]=o[s];var l=t.clientWidth===h&&t.clientHeight===p;return h=t.clientWidth,p=t.clientHeight,a?!l:(f=Math.exp(u.computedRadius[0]),!0)},lookAt:function(t,e,r){u.lookAt(u.lastT(),t,e,r)},rotate:function(t,e,r){u.rotate(u.lastT(),t,e,r)},pan:function(t,e,r){u.pan(u.lastT(),t,e,r)},translate:function(t,e,r){u.translate(u.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return u.computedMatrix},set:function(t){return u.setMatrix(u.lastT(),t),u.computedMatrix},enumerable:!0},mode:{get:function(){return u.getMode()},set:function(t){var e=u.computedUp.slice(),r=u.computedEye.slice(),i=u.computedCenter.slice();if(u.setMode(t),"turntable"===t){var a=n();u._active.lookAt(a,r,i,e),u._active.lookAt(a+500,r,i,[0,0,1]),u._active.flush(a)}return u.getMode()},enumerable:!0},center:{get:function(){return u.computedCenter},set:function(t){return u.lookAt(u.lastT(),null,t),u.computedCenter},enumerable:!0},eye:{get:function(){return u.computedEye},set:function(t){return u.lookAt(u.lastT(),t),u.computedEye},enumerable:!0},up:{get:function(){return u.computedUp},set:function(t){return u.lookAt(u.lastT(),null,null,t),u.computedUp},enumerable:!0},distance:{get:function(){return f},set:function(t){return u.setDistance(u.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return u.getDistanceLimits(r)},set:function(t){return u.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener("contextmenu",function(t){return t.preventDefault(),!1}),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,i,a){var o=d.keyBindingMode;if(!1!==o){var s="rotate"===o,l="pan"===o,c="zoom"===o,h=!!a.control,p=!!a.alt,v=!!a.shift,g=!!(1&e),y=!!(2&e),m=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(i-d._lastY),w=d.flipX?1:-1,T=d.flipY?1:-1,A=Math.PI*d.rotateSpeed,k=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&g&&!h&&!p&&!v||g&&!h&&!p&&v)&&u.rotate(k,w*A*b,-T*A*_,0),(l&&g&&!h&&!p&&!v||y||g&&h&&!p&&!v)&&u.pan(k,-d.translateSpeed*b*f,d.translateSpeed*_*f,0),c&&g&&!h&&!p&&!v||m||g&&!h&&p&&!v)){var M=-d.zoomSpeed*_/window.innerHeight*(k-u.lastT())*100;u.pan(k,0,0,f*(Math.exp(M)-1))}return d._lastX=r,d._lastY=i,d._lastMods=a,!0}}d.mouseListener=a(t,e),t.addEventListener("touchstart",function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods)},!!l&&{passive:!0}),t.addEventListener("touchmove",function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()},!!l&&{passive:!1}),t.addEventListener("touchend",function(t){e(0,d._lastX,d._lastY,d._lastMods)},!!l&&{passive:!0}),d.wheelListener=o(t,function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,i=d.flipY?1:-1,a=n();if(Math.abs(t)>Math.abs(e))u.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-u.lastT())/20;u.pan(a,0,0,f*(Math.exp(o)-1))}}},!0)},d.enableMouseListeners(),d};var n=r(8161),i=r(1152),a=r(6145),o=r(6475),s=r(2565),l=r(5233)},8245:function(t,e,r){var n=r(6832),i=r(5158),a=n(["precision mediump float;\n#define GLSLIFY 1\nattribute vec2 position;\nvarying vec2 uv;\nvoid main() {\n  uv = position;\n  gl_Position = vec4(position, 0, 1);\n}"]),o=n(["precision mediump float;\n#define GLSLIFY 1\n\nuniform sampler2D accumBuffer;\nvarying vec2 uv;\n\nvoid main() {\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\n  gl_FragColor = min(vec4(1,1,1,1), accum);\n}"]);t.exports=function(t){return i(t,a,o,null,[{name:"position",type:"vec2"}])}},1059:function(t,e,r){"use strict";var n=r(4296),i=r(7453),a=r(2771),o=r(6496),s=r(2611),l=r(4234),u=r(8126),c=r(6145),f=r(1120),h=r(5268),p=r(8245),d=r(2321)({tablet:!0,featureDetect:!0});function v(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function g(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}return e>0?(r=Math.round(Math.pow(10,e)),Math.ceil(t/r)*r):Math.ceil(t)}function y(t){return"boolean"!=typeof t||t}t.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;e||(e=document.createElement("canvas"),t.container?t.container.appendChild(e):document.body.appendChild(e));var r=t.gl;if(r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext("webgl",e))||(r=t.getContext("experimental-webgl",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d})),!r)throw new Error("webgl not supported");var m=t.bounds||[[-10,-10,-10],[10,10,10]],x=new v,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&"orthographic"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||"turntable",_ortho:w},A=t.axes||{},k=i(r,A);k.enable=!A.disable;var M=t.spikes||{},S=o(r,M),E=[],L=[],C=[],P=[],O=!0,I=!0,D={view:null,projection:new Array(16),model:new Array(16),_ortho:!1},z=(I=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),R=t.cameraObject||n(e,T),F={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:R,axes:k,axesPixels:null,spikes:S,bounds:m,objects:E,shape:z,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:y(t.autoResize),autoBounds:y(t.autoBounds),autoScale:!!t.autoScale,autoCenter:y(t.autoCenter),clipToBounds:y(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:D,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,I=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},B=[r.drawingBufferWidth/F.pixelRatio|0,r.drawingBufferHeight/F.pixelRatio|0];function N(){if(!F._stopped&&F.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*F.pixelRatio),a=0|Math.ceil(n*F.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||"absolute",o.left="0px",o.top="0px",o.width=r+"px",o.height=n+"px",O=!0}}}function j(){for(var t=E.length,e=P.length,n=0;n<e;++n)C[n]=0;t:for(n=0;n<t;++n){var i=E[n],a=i.pickSlots;if(a){for(var o=0;o<e;++o)if(C[o]+a<255){L[n]=o,i.setPickBase(C[o]+1),C[o]+=a;continue t}var l=s(r,z);L[n]=e,P.push(l),C.push(a),i.setPickBase(1),e+=1}else L[n]=-1}for(;e>0&&0===C[e-1];)C.pop(),P.pop().dispose()}function U(){if(F.contextLost)return!0;r.isContextLost()&&(F.contextLost=!0,F.mouseListener.enabled=!1,F.selection.object=null,F.oncontextloss&&F.oncontextloss())}F.autoResize&&N(),window.addEventListener("resize",N),F.update=function(t){F._stopped||(t=t||{},O=!0,I=!0)},F.add=function(t){F._stopped||(t.axes=k,E.push(t),L.push(-1),O=!0,I=!0,j())},F.remove=function(t){if(!F._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),O=!0,I=!0,j())}},F.dispose=function(){if(!F._stopped&&(F._stopped=!0,window.removeEventListener("resize",N),e.removeEventListener("webglcontextlost",U),F.mouseListener.enabled=!1,!F.contextLost)){k.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();for(b.dispose(),t=0;t<P.length;++t)P[t].dispose();_.dispose(),r=null,k=null,S=null,E=[]}},F._mouseRotating=!1,F._prevButtons=0,F.enableMouseListeners=function(){F.mouseListener=c(e,function(t,e,r){if(!F._stopped){var n=P.length,i=E.length,a=x.object;x.distance=1/0,x.mouse[0]=e,x.mouse[1]=r,x.object=null,x.screen=null,x.dataCoordinate=x.dataPosition=null;var o=!1;if(t&&F._prevButtons)F._mouseRotating=!0;else{F._mouseRotating&&(I=!0),F._mouseRotating=!1;for(var s=0;s<n;++s){var l=P[s].query(e,B[1]-r-1,F.pickRadius);if(l){if(l.distance>x.distance)continue;for(var u=0;u<i;++u){var c=E[u];if(L[u]===s){var f=c.pick(l);f&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=c,x.index=f.distance,x.dataPosition=f.position,x.dataCoordinate=f.dataCoordinate,x.data=f,o=!0)}}}}}a&&a!==x.object&&(a.highlight&&a.highlight(null),O=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),O=!0),(o=o||x.object!==a)&&F.onselect&&F.onselect(x),1&t&&!(1&F._prevButtons)&&F.onclick&&F.onclick(x),F._prevButtons=t}})},e.addEventListener("webglcontextlost",U);var V=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],H=[V[0].slice(),V[1].slice()];function q(){if(!U()){N();var t=F.camera.tick();D.view=F.camera.matrix,O=O||t,I=I||t,k.pixelRatio=F.pixelRatio,S.pixelRatio=F.pixelRatio;var e=E.length,n=V[0],i=V[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<e;++o){(C=E[o]).pixelRatio=F.pixelRatio,C.axes=F.axes,O=O||!!C.dirty,I=I||!!C.dirty;var s=C.bounds;if(s)for(var l=s[0],c=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),i[p]=Math.max(i[p],c[p])}var d=F.bounds;if(F.autoBounds)for(p=0;p<3;++p){if(i[p]<n[p])n[p]=-1,i[p]=1;else{n[p]===i[p]&&(n[p]-=1,i[p]+=1);var v=.05*(i[p]-n[p]);n[p]=n[p]-v,i[p]=i[p]+v}d[0][p]=n[p],d[1][p]=i[p]}var y=!1;for(p=0;p<3;++p)y=y||H[0][p]!==d[0][p]||H[1][p]!==d[1][p],H[0][p]=d[0][p],H[1][p]=d[1][p];if(I=I||y,O=O||y){if(y){var m=[0,0,0];for(o=0;o<3;++o)m[o]=g((d[1][o]-d[0][o])/10);k.autoTicks?k.update({bounds:d,tickSpacing:m}):k.update({bounds:d})}var T=r.drawingBufferWidth,A=r.drawingBufferHeight;for(z[0]=T,z[1]=A,B[0]=0|Math.max(T/F.pixelRatio,1),B[1]=0|Math.max(A/F.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,i=n.projection,a=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,u=t.zFar,c=t.fovy,p=o/s;e?(h(i,-p,p,-1,1,l,u),n._ortho=!0):(f(i,c,p,l,u),n._ortho=!1);for(var d=0;d<16;++d)a[d]=0;a[15]=1;var v=0;for(d=0;d<3;++d)v=Math.max(v,r[1][d]-r[0][d]);for(d=0;d<3;++d)t.autoScale?a[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):a[5*d]=1/v,t.autoCenter&&(a[12+d]=.5*-a[5*d]*(r[0][d]+r[1][d]))}(F,w),o=0;o<e;++o)(C=E[o]).axesBounds=d,F.clipToBounds&&(C.clipBounds=d);x.object&&(F.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),I&&(I=!1,function(){if(!U()){r.colorMask(!0,!0,!0,!0),r.depthMask(!0),r.disable(r.BLEND),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL);for(var t=E.length,e=P.length,n=0;n<e;++n){var i=P[n];i.shape=B,i.begin();for(var a=0;a<t;++a)if(L[a]===n){var o=E[a];o.drawPick&&(o.pixelRatio=1,o.drawPick(D))}i.end()}}}()),F.axesPixels=a(F.axes,D,T,A),F.onrender&&F.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,A),F.clearRGBA(),r.depthMask(!0),r.colorMask(!0,!0,!0,!0),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL),r.disable(r.BLEND),r.disable(r.CULL_FACE);var M=!1;for(k.enable&&(M=M||k.isTransparent(),k.draw(D)),S.axes=k,x.object&&S.draw(D),r.disable(r.CULL_FACE),o=0;o<e;++o)(C=E[o]).axes=k,C.pixelRatio=F.pixelRatio,C.isOpaque&&C.isOpaque()&&C.draw(D),C.isTransparent&&C.isTransparent()&&(M=!0);if(M){for(b.shape=z,b.bind(),r.clear(r.DEPTH_BUFFER_BIT),r.colorMask(!1,!1,!1,!1),r.depthMask(!0),r.depthFunc(r.LESS),k.enable&&k.isTransparent()&&k.drawTransparent(D),o=0;o<e;++o)(C=E[o]).isOpaque&&C.isOpaque()&&C.draw(D);for(r.enable(r.BLEND),r.blendEquation(r.FUNC_ADD),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.colorMask(!0,!0,!0,!0),r.depthMask(!1),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),k.isTransparent()&&k.drawTransparent(D),o=0;o<e;++o){var C;(C=E[o]).isTransparent&&C.isTransparent()&&C.drawTransparent(D)}r.bindFramebuffer(r.FRAMEBUFFER,null),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.disable(r.DEPTH_TEST),_.bind(),b.color[0].bind(0),_.uniforms.accumBuffer=0,u(r),r.disable(r.BLEND)}for(O=!1,o=0;o<e;++o)E[o].dirty=!1}}}return F.enableMouseListeners(),function t(){F._stopped||F.contextLost||(q(),requestAnimationFrame(t))}(),F.redraw=function(){F._stopped||(O=!0,q())},F},createCamera:n}},8023:function(t,e,r){var n=r(6832);e.pointVertex=n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\n\nuniform mat3 matrix;\nuniform float pointSize;\nuniform float pointCloud;\n\nhighp float rand(vec2 co) {\n  highp float a = 12.9898;\n  highp float b = 78.233;\n  highp float c = 43758.5453;\n  highp float d = dot(co.xy, vec2(a, b));\n  highp float e = mod(d, 3.14);\n  return fract(sin(e) * c);\n}\n\nvoid main() {\n  vec3 hgPosition = matrix * vec3(position, 1);\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\n    // if we don't jitter the point size a bit, overall point cloud\n    // saturation 'jumps' on zooming, which is disturbing and confusing\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\n  if(pointCloud != 0.0) { // pointCloud is truthy\n    // get the same square surface as circle would be\n    gl_PointSize *= 0.886;\n  }\n}"]),e.pointFragment=n(["precision mediump float;\n#define GLSLIFY 1\n\nuniform vec4 color, borderColor;\nuniform float centerFraction;\nuniform float pointCloud;\n\nvoid main() {\n  float radius;\n  vec4 baseColor;\n  if(pointCloud != 0.0) { // pointCloud is truthy\n    if(centerFraction == 1.0) {\n      gl_FragColor = color;\n    } else {\n      gl_FragColor = mix(borderColor, color, centerFraction);\n    }\n  } else {\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\n    if(radius > 1.0) {\n      discard;\n    }\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\n  }\n}\n"]),e.pickVertex=n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec4 pickId;\n\nuniform mat3 matrix;\nuniform float pointSize;\nuniform vec4 pickOffset;\n\nvarying vec4 fragId;\n\nvoid main() {\n  vec3 hgPosition = matrix * vec3(position, 1);\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\n  gl_PointSize = pointSize;\n\n  vec4 id = pickId + pickOffset;\n  id.y += floor(id.x / 256.0);\n  id.x -= floor(id.x / 256.0) * 256.0;\n\n  id.z += floor(id.y / 256.0);\n  id.y -= floor(id.y / 256.0) * 256.0;\n\n  id.w += floor(id.z / 256.0);\n  id.z -= floor(id.z / 256.0) * 256.0;\n\n  fragId = id;\n}\n"]),e.pickFragment=n(["precision mediump float;\n#define GLSLIFY 1\n\nvarying vec4 fragId;\n\nvoid main() {\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\n  if(radius > 1.0) {\n    discard;\n  }\n  gl_FragColor = fragId / 255.0;\n}\n"])},8271:function(t,e,r){"use strict";var n=r(5158),i=r(5827),a=r(5306),o=r(8023);function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}t.exports=function(t,e){var r=t.gl,a=new s(t,i(r),i(r),n(r,o.pointVertex,o.pointFragment),n(r,o.pickVertex,o.pickFragment));return a.update(e),t.addObject(a),a};var l,u,c=s.prototype;c.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},c.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r("sizeMin",.5),this.sizeMax=r("sizeMax",20),this.color=r("color",[1,0,0,1]).slice(),this.areaRatio=r("areaRatio",1),this.borderColor=r("borderColor",[0,0,0,1]).slice(),this.blend=r("blend",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),u=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e<n;e++)u[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(u),i||a.free(l),o||a.free(u),this.pointCount=n,this.pickOffset=0},c.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],u=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,i=this.plot.dataBox;if(0===this.pointCount)return t;var a=i[2]-i[0],o=i[3]-i[1],s=function(t,e){var r,n=0,i=t.length>>>1;for(r=0;r<i;r++){var a=t[2*r],o=t[2*r+1];a>=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),c=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=c<5,r.uniforms.pointSize=c,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(u[0]=255&t,u[1]=t>>8&255,u[2]=t>>16&255,u[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=u,this.pickOffset=t);var f=n.getParameter(n.BLEND),h=n.getParameter(n.DITHER);return f&&!this.blend&&n.disable(n.BLEND),h&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),f&&!this.blend&&n.enable(n.BLEND),h&&n.enable(n.DITHER),t+this.pointCount}),c.draw=c.unifiedDraw,c.drawPick=c.unifiedDraw,c.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},6093:function(t){t.exports=function(t,e,r,n){var i,a,o,s,l,u=e[0],c=e[1],f=e[2],h=e[3],p=r[0],d=r[1],v=r[2],g=r[3];return(a=u*p+c*d+f*v+h*g)<0&&(a=-a,p=-p,d=-d,v=-v,g=-g),1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n),t[0]=s*u+l*p,t[1]=s*c+l*d,t[2]=s*f+l*v,t[3]=s*h+l*g,t}},8240:function(t){"use strict";t.exports=function(t){return t||0===t?t.toString():""}},4123:function(t,e,r){"use strict";var n=r(875);t.exports=function(t,e,r){var a=i[e];if(a||(a=i[e]={}),t in a)return a[t];var o={textAlign:"center",textBaseline:"middle",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,u,c=n(t,o);if(r&&1!==r){for(l=0;l<s.positions.length;++l)for(u=0;u<s.positions[l].length;++u)s.positions[l][u]/=r;for(l=0;l<c.positions.length;++l)for(u=0;u<c.positions[l].length;++u)c.positions[l][u]/=r}var f=[[1/0,1/0],[-1/0,-1/0]],h=c.positions.length;for(l=0;l<h;++l){var p=c.positions[l];for(u=0;u<2;++u)f[0][u]=Math.min(f[0][u],p[u]),f[1][u]=Math.max(f[1][u],p[u])}return a[t]=[s,c,f]};var i={}},9282:function(t,e,r){var n=r(5158),i=r(6832),a=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform vec4 highlightId;\nuniform float highlightScale;\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0,0,0,0);\n  } else {\n    float scale = 1.0;\n    if(distance(highlightId, id) < 0.0001) {\n      scale = highlightScale;\n    }\n\n    vec4 worldPosition = model * vec4(position, 1);\n    vec4 viewPosition = view * worldPosition;\n    viewPosition = viewPosition / viewPosition.w;\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\n\n    gl_Position = clipPosition;\n    interpColor = color;\n    pickId = id;\n    dataCoordinate = position;\n  }\n}"]),o=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform vec2 screenSize;\nuniform vec3 clipBounds[2];\nuniform float highlightScale, pixelRatio;\nuniform vec4 highlightId;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0,0,0,0);\n  } else {\n    float scale = pixelRatio;\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\n      scale *= highlightScale;\n    }\n\n    vec4 worldPosition = model * vec4(position, 1.0);\n    vec4 viewPosition = view * worldPosition;\n    vec4 clipPosition = projection * viewPosition;\n    clipPosition /= clipPosition.w;\n\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\n    interpColor = color;\n    pickId = id;\n    dataCoordinate = position;\n  }\n}"]),s=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform float highlightScale;\nuniform vec4 highlightId;\nuniform vec3 axes[2];\nuniform mat4 model, view, projection;\nuniform vec2 screenSize;\nuniform vec3 clipBounds[2];\nuniform float scale, pixelRatio;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0,0,0,0);\n  } else {\n    float lscale = pixelRatio * scale;\n    if(distance(highlightId, id) < 0.0001) {\n      lscale *= highlightScale;\n    }\n\n    vec4 clipCenter   = projection * view * model * vec4(position, 1);\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\n    vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\n\n    gl_Position = clipPosition;\n    interpColor = color;\n    pickId = id;\n    dataCoordinate = dataPosition;\n  }\n}\n"]),l=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 fragClipBounds[2];\nuniform float opacity;\n\nvarying vec4 interpColor;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\n    interpColor.a * opacity == 0.\n  ) discard;\n  gl_FragColor = interpColor * opacity;\n}\n"]),u=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 fragClipBounds[2];\nuniform float pickGroup;\n\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\n\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\n}"]),c=[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"glyph",type:"vec2"},{name:"id",type:"vec4"}],f={vertex:a,fragment:l,attributes:c},h={vertex:o,fragment:l,attributes:c},p={vertex:s,fragment:l,attributes:c},d={vertex:a,fragment:u,attributes:c},v={vertex:o,fragment:u,attributes:c},g={vertex:s,fragment:u,attributes:c};function y(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}e.createPerspective=function(t){return y(t,f)},e.createOrtho=function(t){return y(t,h)},e.createProject=function(t){return y(t,p)},e.createPickPerspective=function(t){return y(t,d)},e.createPickOrtho=function(t){return y(t,v)},e.createPickProject=function(t){return y(t,g)}},2182:function(t,e,r){"use strict";var n=r(3596),i=r(5827),a=r(2944),o=r(5306),s=r(104),l=r(9282),u=r(4123),c=r(8240),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function p(t,e,r,n){return h(n,n),h(n,n),h(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function v(t){return!0===t||t>1?1:t}function g(t,e,r,n,i,a,o,s,l,u,c,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=u,this.pickOrthoShader=c,this.pickProjectShader=f,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}t.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),u=l.createPickOrtho(e),c=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),v=new g(e,r,n,o,f,h,p,d,a(e,[{buffer:f,size:3,type:e.FLOAT},{buffer:h,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),s,u,c);return v.update(t),v};var y=g.prototype;y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},y.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var m=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=f.slice(),A=[0,0,0],k=[[0,0,0],[0,0,0]];function M(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}var L=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function C(t,e,r,n,i,a,o){var l=r.gl;if((a===r.projectHasAlpha||o)&&function(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,u=r.model||f,c=r.view||f,h=r.projection||f,d=e.axesBounds,v=function(t){for(var e=k,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],m[0]=2/o.drawingBufferWidth,m[1]=2/o.drawingBufferHeight,t.bind(),l.view=c,l.projection=h,l.screenSize=m,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=v,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var g=0;g<3;++g)if(a[g]){l.scale=e.projectScale[g],l.opacity=e.projectOpacity[g];for(var y=T,L=0;L<16;++L)y[L]=0;for(L=0;L<4;++L)y[5*L]=1;y[5*g]=0,i[g]<0?y[12+g]=d[0][g]:y[12+g]=d[1][g],s(y,u,y),l.model=y;var C=(g+1)%3,P=(g+2)%3,O=M(x),I=M(b);O[C]=1,I[P]=1;var D=p(0,0,0,S(_,O)),z=p(0,0,0,S(w,I));if(Math.abs(D[1])>Math.abs(z[1])){var R=D;D=z,z=R,R=O,O=I,I=R;var F=C;C=P,P=F}D[0]<0&&(O[C]=-1),z[1]>0&&(I[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(u[4*C+L],2),N+=Math.pow(u[4*P+L],2);O[C]/=Math.sqrt(B),I[P]/=Math.sqrt(N),l.axes[0]=O,l.axes[1]=I,l.fragClipBounds[0]=E(A,v[0],g,-1e8),l.fragClipBounds[1]=E(A,v[1],g,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}(e,r,n,i),a===r.hasAlpha||o){t.bind();var u=t.uniforms;u.model=n.model||f,u.view=n.view||f,u.projection=n.projection||f,m[0]=2/l.drawingBufferWidth,m[1]=2/l.drawingBufferHeight,u.screenSize=m,u.highlightId=r.highlightId,u.highlightScale=r.highlightScale,u.fragClipBounds=L,u.clipBounds=r.axes.bounds,u.opacity=r.opacity,u.pickGroup=r.pickId/255,u.pixelRatio=i,r.vao.bind(),r.vao.draw(l.TRIANGLES,r.vertexCount),r.lineWidth>0&&(l.lineWidth(r.lineWidth*i),r.vao.draw(l.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function P(t,e,r,i){var a;a=Array.isArray(t)?e<t.length?t[e]:void 0:t,a=c(a);var o=!0;n(a)&&(a="▼",o=!1);var s=u(a,r,i);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}y.draw=function(t){C(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},y.drawTransparent=function(t){C(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},y.drawPick=function(t){C(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},y.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},y.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},y.update=function(t){if("perspective"in(t=t||{})&&(this.useOrtho=!t.perspective),"orthographic"in t&&(this.useOrtho=!!t.orthographic),"lineWidth"in t&&(this.lineWidth=t.lineWidth),"project"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if("projectScale"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,"projectOpacity"in t){Array.isArray(t.projectOpacity)?this.projectOpacity=t.projectOpacity.slice():(r=+t.projectOpacity,this.projectOpacity=[r,r,r]);for(var n=0;n<3;++n)this.projectOpacity[n]=v(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,"opacity"in t&&(this.opacity=v(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l=t.font||"normal",u=t.alignment||[0,0];if(2===u.length)i=u[0],a=u[1];else for(i=[],a=[],n=0;n<u.length;++n)i[n]=u[n][0],a[n]=u[n][1];var c=[1/0,1/0,1/0],f=[-1/0,-1/0,-1/0],h=t.glyph,p=t.color,d=t.size,g=t.angle,y=t.lineColor,m=-1,x=0,b=0,_=0;if(s.length){_=s.length;t:for(n=0;n<_;++n){for(var w=s[n],T=0;T<3;++T)if(isNaN(w[T])||!isFinite(w[T]))continue t;var A=(N=P(h,n,l,this.pixelRatio)).mesh,k=N.lines,M=N.bounds;x+=3*A.cells.length,b+=2*k.edges.length}}var S=x+b,E=o.mallocFloat(3*S),L=o.mallocFloat(4*S),C=o.mallocFloat(2*S),O=o.mallocUint32(S);if(S>0){var I=0,D=x,z=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(y)&&Array.isArray(y[0]);t:for(n=0;n<_;++n){for(m+=1,w=s[n],T=0;T<3;++T){if(isNaN(w[T])||!isFinite(w[T]))continue t;f[T]=Math.max(f[T],w[T]),c[T]=Math.min(c[T],w[T])}A=(N=P(h,n,l,this.pixelRatio)).mesh,k=N.lines,M=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(U=F?n<p.length?p[n]:[0,0,0,0]:p).length){for(T=0;T<3;++T)z[T]=U[T];z[3]=1}else if(4===U.length){for(T=0;T<4;++T)z[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else z[0]=z[1]=z[2]=0,z[3]=1;else 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tt=J[K[$]];C[2*I]=V*(q*tt[0]-G*tt[1]+Z[0]),C[2*I+1]=V*(G*tt[0]+q*tt[1]+Z[1]),I+=1}for(X=k.edges,J=k.positions,T=0;T<X.length;++T)for(K=X[T],$=0;$<2;++$){for(Q=0;Q<3;++Q)E[3*D+Q]=w[Q];for(Q=0;Q<4;++Q)L[4*D+Q]=R[Q];O[D]=m,tt=J[K[$]],C[2*D]=V*(q*tt[0]-G*tt[1]+Z[0]),C[2*D+1]=V*(G*tt[0]+q*tt[1]+Z[1]),D+=1}}}this.bounds=[c,f],this.points=s,this.pointCount=s.length,this.vertexCount=x,this.lineVertexCount=b,this.pointBuffer.update(E),this.colorBuffer.update(L),this.glyphBuffer.update(C),this.idBuffer.update(O),o.free(E),o.free(L),o.free(C),o.free(O)},y.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()}},1884:function(t,e,r){"use strict";var n=r(6832);e.boxVertex=n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 vertex;\n\nuniform vec2 cornerA, cornerB;\n\nvoid main() {\n  gl_Position = vec4(mix(cornerA, cornerB, vertex), 0, 1);\n}\n"]),e.boxFragment=n(["precision mediump float;\n#define GLSLIFY 1\n\nuniform vec4 color;\n\nvoid main() {\n  gl_FragColor = color;\n}\n"])},6623:function(t,e,r){"use strict";var n=r(5158),i=r(5827),a=r(1884);function o(t,e,r){this.plot=t,this.boxBuffer=e,this.boxShader=r,this.enabled=!0,this.selectBox=[1/0,1/0,-1/0,-1/0],this.borderColor=[0,0,0,1],this.innerFill=!1,this.innerColor=[0,0,0,.25],this.outerFill=!0,this.outerColor=[0,0,0,.5],this.borderWidth=10}t.exports=function(t,e){var r=t.gl,s=new o(t,i(r,[0,0,0,1,1,0,1,1]),n(r,a.boxVertex,a.boxFragment));return s.update(e),t.addOverlay(s),s};var s=o.prototype;s.draw=function(){if(this.enabled){var t=this.plot,e=this.selectBox,r=this.borderWidth,n=(this.innerFill,this.innerColor),i=(this.outerFill,this.outerColor),a=this.borderColor,o=t.box,s=t.screenBox,l=t.dataBox,u=t.viewBox,c=t.pixelRatio,f=(e[0]-l[0])*(u[2]-u[0])/(l[2]-l[0])+u[0],h=(e[1]-l[1])*(u[3]-u[1])/(l[3]-l[1])+u[1],p=(e[2]-l[0])*(u[2]-u[0])/(l[2]-l[0])+u[0],d=(e[3]-l[1])*(u[3]-u[1])/(l[3]-l[1])+u[1];if(f=Math.max(f,u[0]),h=Math.max(h,u[1]),p=Math.min(p,u[2]),d=Math.min(d,u[3]),!(p<f||d<h)){o.bind();var v=s[2]-s[0],g=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,v,h,i),o.drawBox(0,h,f,d,i),o.drawBox(0,d,v,g,i),o.drawBox(p,h,v,d,i)),this.innerFill&&o.drawBox(f,h,p,d,n),r>0){var y=r*c;o.drawBox(f-y,h-y,p+y,h+y,a),o.drawBox(f-y,d-y,p+y,d+y,a),o.drawBox(f-y,h-y,f+y,d+y,a),o.drawBox(p-y,h-y,p+y,d+y,a)}}}},s.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},2611:function(t,e,r){"use strict";t.exports=function(t,e){var r=e[0],a=e[1];return new l(t,n(t,r,a,{}),i.mallocUint8(r*a*4))};var n=r(4234),i=r(5306),a=r(5050),o=r(2288).nextPow2;function s(t,e,r,n,i){this.coord=[t,e],this.id=r,this.value=n,this.distance=i}function l(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var 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i=0|Math.min(Math.max(t-r,0),n[0]),o=0|Math.min(Math.max(t+r,0),n[0]),l=0|Math.min(Math.max(e-r,0),n[1]),u=0|Math.min(Math.max(e+r,0),n[1]);if(o<=i||u<=l)return null;var c=[o-i,u-l],f=a(this.buffer,[c[0],c[1],4],[4,4*n[0],1],4*(i+n[0]*l)),h=function(t,e,r){for(var n=1e8,i=-1,a=-1,o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var u=0;u<s;u++){var c=t.get(l,u,0),f=t.get(l,u,1),h=t.get(l,u,2),p=t.get(l,u,3);if(c<255||f<255||h<255||p<255){var d=e-l,v=r-u,g=d*d+v*v;g<n&&(n=g,i=l,a=u)}}return[i,a,n]}(f.hi(c[0],c[1],1),r,r),p=h[0],d=h[1];return p<0||Math.pow(this.radius,2)<h[2]?null:new s(p+i|0,d+l|0,f.get(p,d,0),[f.get(p,d,1),f.get(p,d,2),f.get(p,d,3)],Math.sqrt(h[2]))},u.dispose=function(){this.gl&&(this.fbo.dispose(),i.free(this.buffer),this.gl=null,this._readTimeout&&clearTimeout(this._readTimeout))}},5158:function(t,e,r){"use strict";var n=r(9016),i=r(4280),a=r(3984),o=r(1628),s=r(2631),l=r(9068);function 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with\n  // model & view changes.\n  vec3 normal;\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n  //Lighting geometry parameters\n  vec4 cameraCoordinate = view * tubePosition;\n  cameraCoordinate.xyz /= cameraCoordinate.w;\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n  // vec4 m_position  = model * vec4(tubePosition, 1.0);\n  vec4 t_position  = view * tubePosition;\n  gl_Position      = projection * t_position;\n\n  f_color          = color;\n  f_data           = tubePosition.xyz;\n  f_position       = position.xyz;\n  f_uv             = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n  float NdotH = max(x, 0.0001);\n  float cos2Alpha = NdotH * NdotH;\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n  float roughness2 = roughness * roughness;\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n  return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n  vec3 lightDirection,\n  vec3 viewDirection,\n  vec3 surfaceNormal,\n  float roughness,\n  float fresnel) {\n\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n  //Half angle vector\n  vec3 H = normalize(lightDirection + viewDirection);\n\n  //Geometric term\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\n  float VdotH = max(dot(viewDirection, H), 0.000001);\n  float LdotH = max(dot(lightDirection, H), 0.000001);\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\n  float G = min(1.0, min(G1, G2));\n  \n  //Distribution term\n  float D = beckmannDistribution(NdotH, roughness);\n\n  //Fresnel term\n  float F = pow(1.0 - VdotN, fresnel);\n\n  //Multiply terms and done\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform sampler2D texture;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n  vec3 N = normalize(f_normal);\n  vec3 L = normalize(f_lightDirection);\n  vec3 V = normalize(f_eyeDirection);\n\n  if(gl_FrontFacing) {\n    N = -N;\n  }\n\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n\n  gl_FragColor = litColor * opacity;\n}\n"]),o=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n  // Return up-vector for only-z vector.\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n  // Assign z = 0, x = -b, y = a:\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n    return normalize(vec3(-v.y, v.x, 0.0));\n  } else {\n    return normalize(vec3(0.0, v.z, -v.y));\n  }\n}\n\n// Calculate the tube vertex and normal at the given index.\n//\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\n//\n// Each tube segment is made up of a ring of vertices.\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\n// The indexes of tube segments run from 0 to 8.\n//\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\n  float segmentCount = 8.0;\n\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\n\n  vec3 u = getOrthogonalVector(d);\n  vec3 v = normalize(cross(u, d));\n\n  vec3 x = u * cos(angle) * length(d);\n  vec3 y = v * sin(angle) * length(d);\n  vec3 v3 = x + y;\n\n  normal = normalize(v3);\n\n  return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform float tubeScale;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  vec3 normal;\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n  gl_Position = projection * view * tubePosition;\n  f_id        = id;\n  f_position  = position.xyz;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3  clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n  gl_FragColor = vec4(pickId, f_id.xyz);\n}"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec4"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"vector",type:"vec4"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec4"},{name:"id",type:"vec4"},{name:"vector",type:"vec4"}]}},7307:function(t,e,r){"use strict";var n=r(2858),i=r(4020),a=["xyz","xzy","yxz","yzx","zxy","zyx"],o=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var i=t[r];if(i===e)return r;if(i>e)return r-1}return r},s=function(t,e,r){return t<e?e:t>r?r:t},l=function(t){var e=1/0;t.sort(function(t,e){return t-e});for(var r=t.length,n=1;n<r;n++){var i=Math.abs(t[n]-t[n-1]);i<e&&(e=i)}return e};t.exports=function(t,e){var r=t.startingPositions,u=t.maxLength||1e3,c=t.tubeSize||1,f=t.absoluteTubeSize,h=t.gridFill||"+x+y+z",p={};-1!==h.indexOf("-x")&&(p.reversedX=!0),-1!==h.indexOf("-y")&&(p.reversedY=!0),-1!==h.indexOf("-z")&&(p.reversedZ=!0),p.filled=a.indexOf(h.replace(/-/g,"").replace(/\+/g,""));var d=t.getVelocity||function(e){return function(t,e,r){var i=e.vectors,a=e.meshgrid,l=t[0],u=t[1],c=t[2],f=a[0].length,h=a[1].length,p=a[2].length,d=o(a[0],l),v=o(a[1],u),g=o(a[2],c),y=d+1,m=v+1,x=g+1;if(d=s(d,0,f-1),y=s(y,0,f-1),v=s(v,0,h-1),m=s(m,0,h-1),g=s(g,0,p-1),x=s(x,0,p-1),d<0||v<0||g<0||y>f-1||m>h-1||x>p-1)return n.create();var b,_,w,T,A,k,M=a[0][d],S=a[0][y],E=a[1][v],L=a[1][m],C=a[2][g],P=(l-M)/(S-M),O=(u-E)/(L-E),I=(c-C)/(a[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(O)||(O=.5),isFinite(I)||(I=.5),r.reversedX&&(d=f-1-d,y=f-1-y),r.reversedY&&(v=h-1-v,m=h-1-m),r.reversedZ&&(g=p-1-g,x=p-1-x),r.filled){case 5:A=g,k=x,w=v*p,T=m*p,b=d*p*h,_=y*p*h;break;case 4:A=g,k=x,b=d*p,_=y*p,w=v*p*f,T=m*p*f;break;case 3:w=v,T=m,A=g*h,k=x*h,b=d*h*p,_=y*h*p;break;case 2:w=v,T=m,b=d*h,_=y*h,A=g*h*f,k=x*h*f;break;case 1:b=d,_=y,A=g*f,k=x*f,w=v*f*p,T=m*f*p;break;default:b=d,_=y,w=v*f,T=m*f,A=g*f*h,k=x*f*h}var D=i[b+w+A],z=i[b+w+k],R=i[b+T+A],F=i[b+T+k],B=i[_+w+A],N=i[_+w+k],j=i[_+T+A],U=i[_+T+k],V=n.create(),H=n.create(),q=n.create(),G=n.create();n.lerp(V,D,B,P),n.lerp(H,z,N,P),n.lerp(q,R,j,P),n.lerp(G,F,U,P);var Y=n.create(),W=n.create();n.lerp(Y,V,q,O),n.lerp(W,H,G,O);var Z=n.create();return n.lerp(Z,Y,W,I),Z}(e,t,p)},v=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},g=[],y=e[0][0],m=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(e<y||e>b||r<m||r>_||n<x||n>w)},A=10*n.distance(e[0],e[1])/u,k=A*A,M=1,S=0,E=r.length;E>1&&(M=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,u=0;u<s;u++){var c=t[u],f=c[0],h=c[1],p=c[2];i[f]||(e.push(f),i[f]=!0),a[h]||(r.push(h),a[h]=!0),o[p]||(n.push(p),o[p]=!0)}var d=l(e),v=l(r),g=l(n),y=Math.min(d,v,g);return isFinite(y)?y:1}(r));for(var L=0;L<E;L++){var C=n.create();n.copy(C,r[L]);var P=[C],O=[],I=d(C),D=C;O.push(I);var z=[],R=v(C,I),F=n.length(R);isFinite(F)&&F>S&&(S=F),z.push(F),g.push({points:P,velocities:O,divergences:z});for(var B=0;B<100*u&&P.length<u&&T(C);){B++;var N=n.clone(I),j=n.squaredLength(N);if(0===j)break;j>k&&n.scale(N,N,A/Math.sqrt(j)),n.add(N,N,C),I=d(N),n.squaredDistance(D,N)-k>-1e-4*k&&(P.push(N),D=N,O.push(I),R=v(N,I),F=n.length(R),isFinite(F)&&F>S&&(S=F),z.push(F)),C=N}}var U=function(t,e,r,a){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,u=0;u<l.length;u++)o=Math.max(o,n.length(l[u]));var c=t.map(function(t){return function(t,e,r,a){for(var o=t.points,s=t.velocities,l=t.divergences,u=[],c=[],f=[],h=[],p=[],d=[],v=0,g=0,y=i.create(),m=i.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),g=n.length(_)/a,y=i.create(),n.copy(y,_),y[3]=w;for(var T=0;T<8;T++)p[T]=[b[0],b[1],b[2],T];if(h.length>0)for(T=0;T<8;T++){var A=(T+1)%8;u.push(h[T],p[T],p[A],p[A],h[A],h[T]),f.push(m,y,y,y,m,m),d.push(v,g,g,g,v,v);var k=u.length;c.push([k-6,k-5,k-4],[k-3,k-2,k-1])}var M=h;h=p,p=M;var S=m;m=y,y=S;var E=v;v=g,g=E}return{positions:u,cells:c,vectors:f,vertexIntensity:d}}(t,r,a,o)}),f=[],h=[],p=[],d=[];for(s=0;s<c.length;s++){var v=c[s],g=f.length;for(f=f.concat(v.positions),p=p.concat(v.vectors),d=d.concat(v.vertexIntensity),u=0;u<v.cells.length;u++){var y=v.cells[u],m=[];h.push(m);for(var x=0;x<y.length;x++)m.push(y[x]+g)}}return{positions:f,cells:h,vectors:p,vertexIntensity:d,colormap:e}}(g,t.colormap,S,M);return f?U.tubeScale=f:(0===S&&(S=1),U.tubeScale=.5*c*M/S),U};var u=r(9578),c=r(1140).createMesh;t.exports.createTubeMesh=function(t,e){return c(t,e,{shaders:u,traceType:"streamtube"})}},9054:function(t,e,r){var n=r(5158),i=r(6832),a=i(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec4 uv;\nattribute vec3 f;\nattribute vec3 normal;\n\nuniform vec3 objectOffset;\nuniform mat4 model, view, projection, inverseModel;\nuniform vec3 lightPosition, eyePosition;\nuniform sampler2D colormap;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n  vec3 localCoordinate = vec3(uv.zw, f.x);\n  worldCoordinate = objectOffset + localCoordinate;\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\n  vec4 clipPosition = projection * view * worldPosition;\n  gl_Position = clipPosition;\n  kill = f.y;\n  value = f.z;\n  planeCoordinate = uv.xy;\n\n  vColor = texture2D(colormap, vec2(value, value));\n\n  //Lighting geometry parameters\n  vec4 cameraCoordinate = view * worldPosition;\n  cameraCoordinate.xyz /= cameraCoordinate.w;\n  lightDirection = lightPosition - cameraCoordinate.xyz;\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\n}\n"]),o=i(["precision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n  float NdotH = max(x, 0.0001);\n  float cos2Alpha = NdotH * NdotH;\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n  float roughness2 = roughness * roughness;\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n  return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat beckmannSpecular(\n  vec3 lightDirection,\n  vec3 viewDirection,\n  vec3 surfaceNormal,\n  float roughness) {\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\n}\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 lowerBound, upperBound;\nuniform float contourTint;\nuniform vec4 contourColor;\nuniform sampler2D colormap;\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform float vertexColor;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n  if (\n    kill > 0.0 ||\n    vColor.a == 0.0 ||\n    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\n  ) discard;\n\n  vec3 N = normalize(surfaceNormal);\n  vec3 V = normalize(eyeDirection);\n  vec3 L = normalize(lightDirection);\n\n  if(gl_FrontFacing) {\n    N = -N;\n  }\n\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n  //decide how to interpolate color — in vertex or in fragment\n  vec4 surfaceColor =\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\n    step(.5, vertexColor) * vColor;\n\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\n}\n"]),s=i(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec4 uv;\nattribute float f;\n\nuniform vec3 objectOffset;\nuniform mat3 permutation;\nuniform mat4 model, view, projection;\nuniform float height, zOffset;\nuniform sampler2D colormap;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\n  worldCoordinate = objectOffset + dataCoordinate;\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\n\n  vec4 clipPosition = projection * view * worldPosition;\n  clipPosition.z += zOffset;\n\n  gl_Position = clipPosition;\n  value = f + objectOffset.z;\n  kill = -1.0;\n  planeCoordinate = uv.zw;\n\n  vColor = texture2D(colormap, vec2(value, value));\n\n  //Don't do lighting for contours\n  surfaceNormal   = vec3(1,0,0);\n  eyeDirection    = vec3(0,1,0);\n  lightDirection  = vec3(0,0,1);\n}\n"]),l=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec2 shape;\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 surfaceNormal;\n\nvec2 splitFloat(float v) {\n  float vh = 255.0 * v;\n  float upper = floor(vh);\n  float lower = fract(vh);\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\n}\n\nvoid main() {\n  if ((kill > 0.0) ||\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\n\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\n}\n"]);e.createShader=function(t){var e=n(t,a,o,null,[{name:"uv",type:"vec4"},{name:"f",type:"vec3"},{name:"normal",type:"vec3"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createPickShader=function(t){var e=n(t,a,l,null,[{name:"uv",type:"vec4"},{name:"f",type:"vec3"},{name:"normal",type:"vec3"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createContourShader=function(t){var e=n(t,s,o,null,[{name:"uv",type:"vec4"},{name:"f",type:"float"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},e.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:"uv",type:"vec4"},{name:"f",type:"float"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},3754:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl,r=m(e),n=b(e),s=x(e),l=_(e),u=i(e),c=a(e,[{buffer:u,size:4,stride:w,offset:0},{buffer:u,size:3,stride:w,offset:16},{buffer:u,size:3,stride:w,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),v=o(e,1,S,e.RGBA,e.UNSIGNED_BYTE);v.minFilter=e.LINEAR,v.magFilter=e.LINEAR;var g=new E(e,[0,0],[[0,0,0],[0,0,0]],r,n,u,c,v,s,l,f,h,p,d,[0,0,0]),y={levels:[[],[],[]]};for(var T in t)y[T]=t[T];return y.colormap=y.colormap||"jet",g.update(y),g};var n=r(2288),i=r(5827),a=r(2944),o=r(8931),s=r(5306),l=r(9156),u=r(7498),c=r(7382),f=r(5050),h=r(4162),p=r(104),d=r(7437),v=r(5070),g=r(9144),y=r(9054),m=y.createShader,x=y.createContourShader,b=y.createPickShader,_=y.createPickContourShader,w=40,T=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],A=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],k=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function M(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t<3;++t){var e=k[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();var S=256;function E(t,e,r,n,i,a,o,l,u,c,h,p,d,v,g){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=g,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=u,this._contourPickShader=c,this._contourBuffer=h,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new M([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=v,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var L=E.prototype;L.genColormap=function(t,e){var r=!1,n=c([l({colormap:t,nshades:S,format:"rgba"}).map(function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]})]);return u.divseq(n,255),this.hasAlphaScale=r,n},L.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},L.isOpaque=function(){return!this.isTransparent()},L.pickSlots=1,L.setPickBase=function(t){this.pickId=t};var C=[0,0,0],P={showSurface:!1,showContour:!1,projections:[T.slice(),T.slice(),T.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function O(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||C,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=P.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var u=P.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)u[i][n]=t.clipBounds[i][n];u[0][r]=-1e8,u[1][r]=1e8}return P.showSurface=o,P.showContour=s,P}var I={model:T,view:T,projection:T,inverseModel:T.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},D=T.slice(),z=[1,0,0,0,1,0,0,0,1];function R(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=I;n.model=t.model||T,n.view=t.view||T,n.projection=t.projection||T,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=z,n.vertexColor=this.vertexColor;var s=D;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var u=s[12+i];for(o=0;o<3;++o)u+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=u/l}var c=O(n,this);if(c.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=c.projections[i],this._shader.uniforms.clipBounds=c.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(c.showContour){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var h=this._contourVAO;for(h.bind(),i=0;i<3;++i)for(f.uniforms.permutation=k[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o<this.contourLevels[i].length;++o)o===this.highlightLevel[i]?(f.uniforms.contourColor=this.highlightColor[i],f.uniforms.contourTint=this.highlightTint[i]):0!==o&&o-1!==this.highlightLevel[i]||(f.uniforms.contourColor=this.contourColor[i],f.uniforms.contourTint=this.contourTint[i]),this._contourCounts[i][o]&&(f.uniforms.height=this.contourLevels[i][o],h.draw(r.LINES,this._contourCounts[i][o],this._contourOffsets[i][o]));for(i=0;i<3;++i)for(f.uniforms.model=c.projections[i],f.uniforms.clipBounds=c.clipBounds[i],o=0;o<3;++o)if(this.contourProject[i][o]){f.uniforms.permutation=k[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var v=0;v<this.contourLevels[o].length;++v)v===this.highlightLevel[o]?(f.uniforms.contourColor=this.highlightColor[o],f.uniforms.contourTint=this.highlightTint[o]):0!==v&&v-1!==this.highlightLevel[o]||(f.uniforms.contourColor=this.contourColor[o],f.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][v]&&(f.uniforms.height=this.contourLevels[o][v],h.draw(r.LINES,this._contourCounts[o][v],this._contourOffsets[o][v]))}for(h.unbind(),(h=this._dynamicVAO).bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(f.uniforms.model=n.model,f.uniforms.clipBounds=n.clipBounds,f.uniforms.permutation=k[i],r.lineWidth(this.dynamicWidth[i]*this.pixelRatio),f.uniforms.contourColor=this.dynamicColor[i],f.uniforms.contourTint=this.dynamicTint[i],f.uniforms.height=this.dynamicLevel[i],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),o=0;o<3;++o)this.contourProject[o][i]&&(f.uniforms.model=c.projections[o],f.uniforms.clipBounds=c.clipBounds[o],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));h.unbind()}}L.draw=function(t){return R.call(this,t,!1)},L.drawTransparent=function(t){return R.call(this,t,!0)};var F={model:T,view:T,projection:T,inverseModel:T,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function B(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function N(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function j(t){if(Array.isArray(t)){if(Array.isArray(t))return[N(t[0]),N(t[1]),N(t[2])];var e=N(t);return[e.slice(),e.slice(),e.slice()]}}L.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=F;r.model=t.model||T,r.view=t.view||T,r.projection=t.projection||T,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=z;for(var n=0;n<2;++n)for(var i=r.clipBounds[n],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var o=O(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]*this.pixelRatio),s.uniforms.permutation=k[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(s.uniforms.height=this.contourLevels[a][n],l.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){s.uniforms.permutation=k[a],e.lineWidth(this.contourWidth[a]*this.pixelRatio);for(var u=0;u<this.contourLevels[a].length;++u)this._contourCounts[a][u]&&(s.uniforms.height=this.contourLevels[a][u],l.draw(e.LINES,this._contourCounts[a][u],this._contourOffsets[a][u]))}l.unbind()}},L.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var u=r.position;u[0]=u[1]=u[2]=0;for(var c=0;c<2;++c)for(var f=c?a:1-a,h=0;h<2;++h)for(var p=i+c,d=s+h,g=f*(h?l:1-l),y=0;y<3;++y)u[y]+=this._field[y].get(p,d)*g;for(var m=this._pickResult.level,x=0;x<3;++x)if(m[x]=v.le(this.contourLevels[x],u[x]),m[x]<0)this.contourLevels[x].length>0&&(m[x]=0);else if(m[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][m[x]],_=this.contourLevels[x][m[x]+1];Math.abs(b-u[x])>Math.abs(_-u[x])&&(m[x]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],y=0;y<3;++y)r.dataCoordinate[y]=this._field[y].get(r.index[0],r.index[1]);return r},L.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();u.assign(t.lo(1,1).hi(r[0],r[1]),e),u.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),u.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),u.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),u.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},L.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,"contourWidth"in t&&(this.contourWidth=B(t.contourWidth,Number)),"showContour"in t&&(this.showContour=B(t.showContour,Boolean)),"showSurface"in t&&(this.showSurface=!!t.showSurface),"contourTint"in t&&(this.contourTint=B(t.contourTint,Boolean)),"contourColor"in t&&(this.contourColor=j(t.contourColor)),"contourProject"in t&&(this.contourProject=B(t.contourProject,function(t){return B(t,Boolean)})),"surfaceProject"in t&&(this.surfaceProject=t.surfaceProject),"dynamicColor"in t&&(this.dynamicColor=j(t.dynamicColor)),"dynamicTint"in t&&(this.dynamicTint=B(t.dynamicTint,Number)),"dynamicWidth"in t&&(this.dynamicWidth=B(t.dynamicWidth,Number)),"opacity"in t&&(this.opacity=t.opacity),"opacityscale"in t&&(this.opacityscale=t.opacityscale),"colorBounds"in t&&(this.colorBounds=t.colorBounds),"vertexColor"in t&&(this.vertexColor=t.vertexColor?1:0),"colormap"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),"field"in t||"coords"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=f(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error("gl-surface: invalid coordinates for x/y");for(o=0;o<2;++o){var u=l[o];for(y=0;y<2;++y)if(u.shape[y]!==a[y])throw new Error("gl-surface: coords have incorrect shape");this.padField(this._field[o],u)}}else if(t.ticks){var c=t.ticks;if(!Array.isArray(c)||2!==c.length)throw new Error("gl-surface: invalid ticks");for(o=0;o<2;++o){var p=c[o];if((Array.isArray(p)||p.length)&&(p=f(p)),p.shape[0]!==a[o])throw new Error("gl-surface: invalid tick length");var d=f(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var v=[0,0];v[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],v,0)}this._field[0].set(0,0,0);for(var y=0;y<a[0];++y)this._field[0].set(y+1,0,y);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),y=0;y<a[1];++y)this._field[1].set(0,y+1,y);this._field[1].set(0,a[1]+1,a[1]-1)}var m=this._field,x=f(s.mallocFloat(3*m[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)g(x.pick(o),m[o],"mirror");var b=f(s.mallocFloat(3*m[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(y=0;y<a[1]+2;++y){var _=x.get(0,o,y,0),w=x.get(0,o,y,1),T=x.get(1,o,y,0),k=x.get(1,o,y,1),M=x.get(2,o,y,0),S=x.get(2,o,y,1),E=T*S-k*M,L=M*w-S*_,C=_*k-w*T,P=Math.sqrt(E*E+L*L+C*C);P<1e-8?(P=Math.max(Math.abs(E),Math.abs(L),Math.abs(C)))<1e-8?(C=1,L=E=0,P=1):P=1/P:P=1/Math.sqrt(P),b.set(o,y,0,E*P),b.set(o,y,1,L*P),b.set(o,y,2,C*P)}s.free(x.data);var O=[1/0,1/0,1/0],I=[-1/0,-1/0,-1/0],D=1/0,z=-1/0,R=(a[0]-1)*(a[1]-1)*6,F=s.mallocFloat(n.nextPow2(10*R)),N=0,U=0;for(o=0;o<a[0]-1;++o)t:for(y=0;y<a[1]-1;++y){for(var V=0;V<2;++V)for(var H=0;H<2;++H)for(var q=0;q<3;++q){var G=this._field[q].get(1+o+V,1+y+H);if(isNaN(G)||!isFinite(G))continue t}for(q=0;q<6;++q){var Y=o+A[q][0],W=y+A[q][1],Z=this._field[0].get(Y+1,W+1),X=this._field[1].get(Y+1,W+1);G=this._field[2].get(Y+1,W+1),E=b.get(Y+1,W+1,0),L=b.get(Y+1,W+1,1),C=b.get(Y+1,W+1,2),t.intensity&&(J=t.intensity.get(Y,W));var J=t.intensity?t.intensity.get(Y,W):G+this.objectOffset[2];F[N++]=Y,F[N++]=W,F[N++]=Z,F[N++]=X,F[N++]=G,F[N++]=0,F[N++]=J,F[N++]=E,F[N++]=L,F[N++]=C,O[0]=Math.min(O[0],Z+this.objectOffset[0]),O[1]=Math.min(O[1],X+this.objectOffset[1]),O[2]=Math.min(O[2],G+this.objectOffset[2]),D=Math.min(D,J),I[0]=Math.max(I[0],Z+this.objectOffset[0]),I[1]=Math.max(I[1],X+this.objectOffset[1]),I[2]=Math.max(I[2],G+this.objectOffset[2]),z=Math.max(z,J),U+=1}}for(t.intensityBounds&&(D=+t.intensityBounds[0],z=+t.intensityBounds[1]),o=6;o<N;o+=10)F[o]=(F[o]-D)/(z-D);this._vertexCount=U,this._coordinateBuffer.update(F.subarray(0,N)),s.freeFloat(F),s.free(b.data),this.bounds=[O,I],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===D&&this.intensityBounds[1]===z||(r=!0),this.intensityBounds=[D,z]}if("levels"in t){var K=t.levels;for(K=Array.isArray(K[0])?K.slice():[[],[],K],o=0;o<3;++o)K[o]=K[o].slice(),K[o].sort(function(t,e){return t-e});for(o=0;o<3;++o)for(y=0;y<K[o].length;++y)K[o][y]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(K[o].length!==this.contourLevels[o].length){r=!0;break}for(y=0;y<K[o].length;++y)if(K[o][y]!==this.contourLevels[o][y]){r=!0;break t}}this.contourLevels=K}if(r){m=this._field,a=this.shape;for(var $=[],Q=0;Q<3;++Q){var tt=this.contourLevels[Q],et=[],rt=[],nt=[0,0,0];for(o=0;o<tt.length;++o){var it=h(this._field[Q],tt[o]);et.push($.length/5|0),U=0;t:for(y=0;y<it.cells.length;++y){var at=it.cells[y];for(q=0;q<2;++q){var ot=it.positions[at[q]],st=ot[0],lt=0|Math.floor(st),ut=st-lt,ct=ot[1],ft=0|Math.floor(ct),ht=ct-ft,pt=!1;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var vt=(Q+dt+1)%3;for(V=0;V<2;++V){var gt=V?ut:1-ut;for(Y=0|Math.min(Math.max(lt+V,0),a[0]),H=0;H<2;++H){var yt=H?ht:1-ht;if(W=0|Math.min(Math.max(ft+H,0),a[1]),G=dt<2?this._field[vt].get(Y,W):(this.intensity.get(Y,W)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(G)||isNaN(G)){pt=!0;break e}var mt=gt*yt;nt[dt]+=mt*G}}}if(pt){if(q>0){for(var xt=0;xt<5;++xt)$.pop();U-=1}continue t}$.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[Q]=et,this._contourCounts[Q]=rt}var bt=s.mallocFloat($.length);for(o=0;o<$.length;++o)bt[o]=$[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},L.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},L.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,u=(o+2)%3,c=this._field[o],f=this._field[l],p=this._field[u],d=h(c,r[o]),v=d.cells,g=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<v.length;++e)for(var y=v[e],m=0;m<2;++m){var x=g[y[m]],b=+x[0],_=0|b,w=0|Math.min(_+1,i[0]),T=b-_,A=1-T,k=+x[1],M=0|k,S=0|Math.min(M+1,i[1]),E=k-M,L=1-E,C=A*L,P=A*E,O=T*L,I=T*E,D=C*f.get(_,M)+P*f.get(_,S)+O*f.get(w,M)+I*f.get(w,S),z=C*p.get(_,M)+P*p.get(_,S)+O*p.get(w,M)+I*p.get(w,S);if(isNaN(D)||isNaN(z)){m&&(n-=1);break}a[2*n+0]=D,a[2*n+1]=z,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),s.freeFloat(a)}}},8931:function(t,e,r){"use strict";var n=r(5050),i=r(7498),a=r(5306);t.exports=function(t){if(arguments.length<=1)throw new Error("gl-texture2d: Missing arguments for texture2d constructor");if(o||function(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}(t),"number"==typeof arguments[1])return g(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return g(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if("object"==typeof arguments[1]){var e=arguments[1],r=u(e)?e:e.raw;if(r)return function(t,e,r,n,i,a){var o=v(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new h(t,o,r,n,i,a)}(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return function(t,e){var r=e.dtype,o=e.shape.slice(),s=t.getParameter(t.MAX_TEXTURE_SIZE);if(o[0]<0||o[0]>s||o[1]<0||o[1]>s)throw new Error("gl-texture2d: Invalid texture size");var l=d(o,e.stride.slice()),u=0;"float32"===r?u=t.FLOAT:"float64"===r?(u=t.FLOAT,l=!1,r="float32"):"uint8"===r?u=t.UNSIGNED_BYTE:(u=t.UNSIGNED_BYTE,l=!1,r="uint8");var f,p,g=0;if(2===o.length)g=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error("gl-texture2d: Invalid shape for texture");if(1===o[2])g=t.ALPHA;else if(2===o[2])g=t.LUMINANCE_ALPHA;else if(3===o[2])g=t.RGB;else{if(4!==o[2])throw new Error("gl-texture2d: Invalid shape for pixel coords");g=t.RGBA}}u!==t.FLOAT||t.getExtension("OES_texture_float")||(u=t.UNSIGNED_BYTE,l=!1);var y=e.size;if(l)f=0===e.offset&&e.data.length===y?e.data:e.data.subarray(e.offset,e.offset+y);else{var m=[o[2],o[2]*o[0],1];p=a.malloc(y,r);var x=n(p,o,m,0);"float32"!==r&&"float64"!==r||u!==t.UNSIGNED_BYTE?i.assign(x,e):c(x,e),f=p.subarray(0,y)}var b=v(t);return t.texImage2D(t.TEXTURE_2D,0,g,o[0],o[1],0,g,u,f),l||a.free(p),new h(t,b,o[0],o[1],g,u)}(t,e)}throw new Error("gl-texture2d: Invalid arguments for texture2d constructor")};var o=null,s=null,l=null;function u(t){return"undefined"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||"undefined"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||"undefined"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||"undefined"!=typeof ImageData&&t instanceof ImageData}var c=function(t,e){i.muls(t,e,255)};function f(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error("gl-texture2d: Invalid texture size");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function h(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var p=h.prototype;function d(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function v(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function g(t,e,r,n,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error("gl-texture2d: Invalid texture shape");if(i===t.FLOAT&&!t.getExtension("OES_texture_float"))throw new Error("gl-texture2d: Floating point textures not supported on this platform");var o=v(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new h(t,o,e,r,n,i)}Object.defineProperties(p,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension("OES_texture_float_linear")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error("gl-texture2d: Unknown filter mode "+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension("OES_texture_float_linear")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error("gl-texture2d: Unknown filter mode "+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension("EXT_texture_filter_anisotropic");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error("gl-texture2d: Must specify wrap mode for rows and columns");for(var e=0;e<2;++e)if(l.indexOf(t[e])<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);this._wrapS=t[0],this._wrapT=t[1];var r=this.gl;return this.bind(),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_S,this._wrapS),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_T,this._wrapT),t}},shape:{get:function(){return this._shapeVector},set:function(t){if(Array.isArray(t)){if(2!==t.length)throw new Error("gl-texture2d: Invalid texture shape")}else t=[0|t,0|t];return f(this,0|t[0],0|t[1]),[0|t[0],0|t[1]]}},width:{get:function(){return this._shape[0]},set:function(t){return f(this,t|=0,this._shape[1]),t}},height:{get:function(){return this._shape[1]},set:function(t){return t|=0,f(this,this._shape[0],t),t}}}),p.bind=function(t){var e=this.gl;return void 0!==t&&e.activeTexture(e.TEXTURE0+(0|t)),e.bindTexture(e.TEXTURE_2D,this.handle),void 0!==t?0|t:e.getParameter(e.ACTIVE_TEXTURE)-e.TEXTURE0},p.dispose=function(){this.gl.deleteTexture(this.handle)},p.generateMipmap=function(){this.bind(),this.gl.generateMipmap(this.gl.TEXTURE_2D);for(var t=Math.min(this._shape[0],this._shape[1]),e=0;t>0;++e,t>>>=1)this._mipLevels.indexOf(e)<0&&this._mipLevels.push(e)},p.setPixels=function(t,e,r,o){var s=this.gl;this.bind(),Array.isArray(e)?(o=r,r=0|e[1],e=0|e[0]):(e=e||0,r=r||0),o=o||0;var 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r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=O(a),-1!==a.title.position.indexOf("top")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf("bottom")&&(o.y+=(1+i)*t.r);var l,u=t.r/(void 0===(l=t.trace.aspectratio)?1:l),c=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf("left")?(c+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf("center")?c*=2:-1!==a.title.position.indexOf("right")&&(c+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=c/t.titleBox.width,n=P(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function P(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function O(t){var e,r=t.pull;if(!r)return 0;if(Array.isArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function I(t,e){for(var r=[],n=0;n<t.length;n++){var i=t[n][0],a=i.trace,o=a.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);a.title.text&&"middle center"!==a.title.position&&(l-=P(i,e));var u=s/2,c=l/2;"funnelarea"!==a.type||a.scalegroup||(c/=a.aspectratio),i.r=Math.min(u,c)/(1+O(a)),i.cx=e.l+e.w*(a.domain.x[1]+a.domain.x[0])/2,i.cy=e.t+e.h*(1-a.domain.y[0])-l/2,a.title.text&&-1!==a.title.position.indexOf("bottom")&&(i.cy-=P(i,e)),a.scalegroup&&-1===r.indexOf(a.scalegroup)&&r.push(a.scalegroup)}!function(t,e){for(var r,n,i,a=0;a<e.length;a++){var o=1/0,s=e[a];for(n=0;n<t.length;n++)if((i=(r=t[n][0]).trace).scalegroup===s){var l;if("pie"===i.type)l=r.r*r.r;else if("funnelarea"===i.type){var u,c;i.aspectratio>1?c=(u=r.r)/i.aspectratio:u=(c=r.r)*i.aspectratio,l=(u*=(1+i.baseratio)/2)*c}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if((i=(r=t[n][0]).trace).scalegroup===s){var f=o*r.vTotal;"funnelarea"===i.type&&(f/=(1+i.baseratio)/2,f/=i.aspectratio),r.r=Math.sqrt(f)}}}(t,r)}function D(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function z(t,e,r){var n=t._fullLayout,i=r.trace,a=i.texttemplate,o=i.textinfo;if(!a&&o&&"none"!==o){var s,u=o.split("+"),c=function(t){return-1!==u.indexOf(t)},f=c("label"),h=c("text"),p=c("value"),d=c("percent"),v=n.separators;if(s=f?[e.label]:[],h){var y=g.getFirstFilled(i.text,e.pts);m(y)&&s.push(y)}p&&s.push(g.formatPieValue(e.v,v)),d&&s.push(g.formatPiePercent(e.v/r.vTotal,v)),e.text=s.join("<br>")}if(a){var x=l.castOption(i,e.i,"texttemplate");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:g.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:g.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,"customdata")}}(e),_=g.getFirstFilled(i.text,e.pts);(m(_)||""===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,i._meta||{})}else e.text=""}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}t.exports={plot:function(t,e){var r=t._context.staticPlot,a=t._fullLayout,h=a._size;d("pie",a),_(e,t),I(e,h);var v=l.makeTraceGroups(a._pielayer,e,"trace").each(function(e){var d=n.select(this),v=e[0],y=v.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=g.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,u="px0",c="px1";if("counterclockwise"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,u="px1",c="px0"}for(n=D(a,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[u]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=D(a,s),r.midangle=s,n=D(a,s+=l*r.v/2),r.stopangle=s,r[c]=n,r.largeArc=r.v>i.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),d.attr("stroke-linejoin","round"),d.each(function(){var 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+      <img src="../logo.png" class="logo" alt=""><h1>Incorporating predation diffusion</h1>
+
+
+
+
+      <small class="dont-index">Source: <a href="https://github.com/sizespectrum/mizer/blob/HEAD/vignettes/predation_diffusion.qmd" class="external-link"><code>vignettes/predation_diffusion.qmd</code></a></small>
+      <div class="d-none name"><code></code></div>
+    </div>
+
+
+
+
+
+
+    <div class="cell">
+<div class="sourceCode cell-code" id="cb1"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://github.com/gustavdelius/mizerEcopath" class="external-link">mizerEcopath</a></span><span class="op">)</span></span>
+<span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://ggplot2.tidyverse.org" class="external-link">ggplot2</a></span><span class="op">)</span></span>
+<span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://tidyr.tidyverse.org" class="external-link">tidyr</a></span><span class="op">)</span></span>
+<span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://dplyr.tidyverse.org" class="external-link">dplyr</a></span><span class="op">)</span></span></code></pre></div>
+</div>
+<section class="section level2"><h2 id="sec-jump-growth">The jump-growth equation<a class="anchor" aria-label="anchor" href="#sec-jump-growth"></a>
+</h2>
+<p>As was observed in <span class="citation" data-cites="datta2010">(<a href="#ref-datta2010" role="doc-biblioref">Datta, Delius, and Law 2010</a>)</span>, the variability in prey size leads to a diffusion term in the PDE for the abundance density <span class="math inline">\(N(w,t)\)</span>. This term was neglected in mizer in the past but can now be included. It becomes important when matching mizer abundances to observed abundances, because it will account for fish that are larger than average. The PDE including the diffusion term is <span id="eq-PDE"><span class="math display">\[
+\frac{\partial N}{\partial t} = \frac12 \frac{\partial^2}{\partial w^2}(d N) - \frac{\partial}{\partial w}(g N)-\mu N
+\tag{1}\]</span></span> where <span class="math inline">\(g\)</span> is the growth rate, <span class="math inline">\(\mu\)</span> is the death rate and <span class="math inline">\(d\)</span> is a new diffusion rate.</p>
+<p>The diffusion rate has an expression that is similar to that of the rate <span class="math inline">\(A(w)\)</span> at which prey biomass is assimilated and thus available for metabolism, growth and reproduction. Recall that this rate is given by <span id="eq-gw"><span class="math display">\[
+\begin{split}
+A(w)=&amp;(1-f(w))\,\gamma(w)\int N_c(w_p)\,\phi(w,w_p)\,\alpha\, w_p\,dw_p
+\end{split}
+\tag{2}\]</span></span> where <span class="math inline">\(N_c(w)\)</span> is the abundance density of prey, <span class="math inline">\(\phi(w,w_p)\)</span> is the predation kernel, <span class="math inline">\(\gamma(w)\)</span> is the search volume, <span class="math inline">\(f(w)\)</span> is the feeding level and <span class="math inline">\(\alpha\)</span> is the assimilation efficiency.</p>
+<p>The factor <span class="math inline">\(\alpha\,w_p\)</span> in the integral in <a href="#eq-gw" class="quarto-xref">Eq. 2</a> is the increase in assimilated biomass resulting from the ingestion of an individual prey of weight <span class="math inline">\(w_p\)</span>. In the expression for the diffusion rate <span class="math inline">\(D(w)\)</span> this factor is squared: <span id="eq-dw"><span class="math display">\[
+D(w) = (1-f(w))\,\gamma(w) \int N_c(w_p)\phi(w/w_p)(\alpha\,w_p)^2\,dw_p.
+\tag{3}\]</span></span></p>
+<p>This diffusion rate captures only the randomness in the size of encountered prey. There will be many other sources of stochasticity that we do not model explicitly in mizer. They should be added as external diffusion with <code><a href="../reference/setExtDiffusion.html">ext_diffusion()</a></code>.</p>
+<p>The increase <span class="math inline">\(\alpha\,w_p\)</span> in predator mass is typically only a small proportion of the predator mass because the preferred prey are typically much smaller than the predator and also <span class="math inline">\(\alpha\)</span> is smaller than <span class="math inline">\(1\)</span>. Because this factor is squared in the expression for <span class="math inline">\(D(w)\)</span> it might be expected that the term in the PDE involving <span class="math inline">\(D(w)\)</span> can be safely neglected. However it is worth testing this intuition. We will do this now by first determining the diffusion rate in a model with allometric encounter and mortality rates. We will then use that to determine its effect on the slope of the juvenile spectrum. Finally we will look at the numerical solution for the steady state.</p>
+</section><section class="section level2"><h2 id="sec-diffusion-example">Example calculation of diffusion rate<a class="anchor" aria-label="anchor" href="#sec-diffusion-example"></a>
+</h2>
+<p>Let us assume that the prey abundance is given by a power law: <span class="math inline">\(N_c(w)=N_0w^{-\lambda}\)</span> and that the predation kernel is <span id="eq-phi"><span class="math display">\[
+\phi(w/w_p) = \exp\left(-\frac{\log(w/w_p/\beta)^2}{2\sigma^2}\right).
+\tag{4}\]</span></span></p>
+<p>and hence the integral in the expression <a href="#eq-gw" class="quarto-xref">Eq. 2</a> for the assimilation rate becomes <span id="eq-Ig"><span class="math display">\[
+\begin{split}
+I_A&amp;:=\int N_c(w_p)\phi(w/w_p)\alpha\,w_p\,dw_p\\
+&amp;=\alpha\int w_p^{1-\lambda}\exp\left(-\frac{\log(w/w_p/\beta)^2}{2\sigma^2}\right)dw_p.
+\end{split}
+\tag{5}\]</span></span> This integral can be evaluated most easily by changing integration variable to <span class="math inline">\(x=\log(w_p/w_0)\)</span>for an arbitrary reference weight <span class="math inline">\(w_0\)</span> and then recognising the resulting integral <span id="eq-Ig2"><span class="math display">\[
+I_A=\alpha\, w_0^{2-\lambda}\int e^{(2-\lambda)x}\exp\left(-\frac{(x-\log(w/w_0)+\log(\beta))^2}{2\sigma^2}\right)dx
+\tag{6}\]</span></span> as a Gaussian integral. Using the general result that <span id="eq-gaussian"><span class="math display">\[
+\int e^{ax}\exp\left(-\frac{(x-\mu)^2}{2\sigma^2}\right)dx = \sqrt{\frac{2\pi}{\sigma^2}}\exp\left(a\mu+\frac{a^2\sigma^2}{2}\right)
+\tag{7}\]</span></span> with <span class="math inline">\(a = 2-\lambda\)</span> and <span class="math inline">\(\mu = \log(w/w_0)-\log(\beta)\)</span> we find that <span id="eq-Ig3"><span class="math display">\[
+\begin{split}
+I_A&amp;=
+\alpha\, w_0^{2-\lambda}\sqrt{\frac{2\pi}{\sigma^2}}\exp\left((2-\lambda)(\log(w/w_0)-\log(\beta))+\frac{(2-\lambda)^2\sigma^2}{2}\right)\\
+&amp;=\alpha w^{2-\lambda}\sqrt{\frac{2\pi}{\sigma^2}}\beta^{\lambda - 2}\exp\left(\frac{(2-\lambda)^2\sigma^2}{2}\right)
+\end{split}
+\tag{8}\]</span></span></p>
+<p>Assuming an allometric search volume <span class="math inline">\(\gamma(w)=\gamma w^q\)</span> with an exponent of <span class="math inline">\(q = n - 2 + \lambda\)</span> we obtain <span id="eq-gw2"><span class="math display">\[
+A(w) = (1-f(w))\,\gamma  \alpha \sqrt{\frac{2\pi}{\sigma^2}}\beta^{\lambda - 2}\exp\left(\frac{(2-\lambda)^2\sigma^2}{2}\right) w^{n}.
+\tag{9}\]</span></span></p>
+<p>We can evaluate the diffusion rate <span class="math inline">\(D(w)\)</span> in the same manner. The extra factor of <span class="math inline">\(w_p\)</span> changes <span class="math inline">\(a\)</span> from <span class="math inline">\(2-\lambda\)</span> to <span class="math inline">\(3-\lambda\)</span> and we obtain <span id="eq-dw2"><span class="math display">\[
+D(w) = (1-f(w))\gamma \alpha^2 \sqrt{\frac{2\pi}{\sigma^2}}\beta^{\lambda - 3}\exp\left(\frac{(3-\lambda)^2\sigma^2}{2}\right) w^{n+1}.
+\tag{10}\]</span></span> Comparing this to the expression <a href="#eq-gw2" class="quarto-xref">Eq. 9</a> for <span class="math inline">\(A(w)\)</span> we find that <span id="eq-dw3"><span class="math display">\[
+D(w) = A(w)w\frac{\alpha}{\beta}\exp\left(\frac{(5-2\lambda)\sigma^2}{2}\right).
+\tag{11}\]</span></span></p>
+<p>To get a feel for the typical magnitude of the factor let’s consider concrete values <span id="eq-params"><span class="math display">\[
+f=0.6, \qquad\alpha = 0.8, \qquad\beta = 10, \qquad\sigma = 2, \qquad\lambda = 2.
+\tag{12}\]</span></span></p>
+<p>Then <span id="eq-dw4"><span class="math display">\[
+D(w) \approx 0.59 A(w)w.
+\tag{13}\]</span></span></p>
+<p>However we see that the value of <span class="math inline">\(D(w)/A(w)\)</span> is strongly influenced by the location and width of the feeding kernel. It decreases with increasing <span class="math inline">\(\beta\)</span> and decreasing <span class="math inline">\(\sigma\)</span> If we choose <span class="math inline">\(\beta = 100\)</span> and <span class="math inline">\(\sigma = 1\)</span> then <span class="math inline">\(D(w)\approx 0.01 A(w)w\)</span>. This relative decrease in the diffusion rate with increasing <span class="math inline">\(\beta\)</span> and decreasing <span class="math inline">\(\sigma\)</span> may explains the result from <span class="citation" data-cites="datta2010a">(<a href="#ref-datta2010a" role="doc-biblioref">Datta et al. 2010</a>)</span> about how the stability of the system depends on these parameters.</p>
+</section><section class="section level2"><h2 id="sec-diffusion-juvenile">Effect on juvenile slope<a class="anchor" aria-label="anchor" href="#sec-diffusion-juvenile"></a>
+</h2>
+<p>In this section we will calculate the effect of the diffusion on the slope of the juvenile spectrum in the steady state. You can skip this section if you are not interested in the details of the calculation. The outcome is that the change in the juvenile slope is small. However, the change in the size spectrum of the adults is much larger, as we will see in <strong>?@sec-diffusion-numerical</strong>.</p>
+<p>Without diffusion we find the juvenile spectrum by solving the steady-state equation <span id="eq-ss"><span class="math display">\[
+\frac{\partial}{\partial w}(g(w) N(w)) =-\mu(w) N(w).
+\tag{14}\]</span></span></p>
+<p>This has the solution <span id="eq-Nw"><span class="math display">\[
+N(w) = \frac{g(w_0)}{g(w)}N(w_0)\exp\left(-\int_{w_0}^w\frac{\mu(w')}{g(w')}dw'\right).
+\tag{15}\]</span></span></p>
+<p>With allometric growth and death rates <span class="math inline">\(g(w)=g_0w^n\)</span> and <span class="math inline">\(\mu(w)=\mu_0w^{n-1}\)</span> this gives <span id="eq-Nwss"><span class="math display">\[
+N(w)=\left(\frac{w}{w_0}\right)^{-n} N(w_0)\exp\left(-\frac{\mu_0}{g_0}\int_{w_0}^w\frac{1}{w'}dw'\right)=N(w_0)\left(\frac{w}{w_0}\right)^{-\mu_0/g_0-n}.
+\tag{16}\]</span></span></p>
+<p>Thus the juvenile steady state abundance density is given by a power law with exponent <span class="math inline">\(-\mu_0/g_0-n\)</span>.</p>
+<p>In the presence of diffusion the steady state equation becomes the second-order ODE <span id="eq-diffss"><span class="math display">\[
+\frac12 \frac{\partial^2}{\partial w^2}(D N) - \frac{\partial}{\partial w}(g N)-\mu N=0.
+\tag{17}\]</span></span></p>
+<p>We have seen in the previous section that with <span class="math inline">\(g(w)=g_0w^n\)</span> the diffusion rate is also a power law with one extra factor of <span class="math inline">\(w\)</span>: <span class="math inline">\(D(w)=D_0w^{n+1}\)</span>. This makes the equation <a href="#eq-diffss" class="quarto-xref">Eq. 17</a> scale invariant and hence we again expect the solution to be a power law, So we make the Ansatz <span class="math inline">\(N(w)=N(w_0)(w/w_0)^a\)</span> with the exponent <span class="math inline">\(a\)</span> to be determined. Substituting this Ansatz into <a href="#eq-diffss" class="quarto-xref">Eq. 17</a> gives <span id="eq-diffssansatz"><span class="math display">\[
+\frac12 D_0N_0(n+1+a)(n+a)w^{n+a-1} -g_0N_0(n+a)w^{n+a-1}-\mu_0 N_0w^{n-1+a} = 0
+\tag{18}\]</span></span> which requires that <span id="eq-diffssansatz2"><span class="math display">\[
+\frac12 D_0 (n+a)^2+\left(\frac12 D_0 -g_0\right)(n+a)-\mu_0=0.
+\tag{19}\]</span></span> This is a quadratic equation for <span class="math inline">\(n+a\)</span>: <span id="eq-diffssansatz3"><span class="math display">\[
+\frac12 D_0 (n+a)^2+\left(\frac12 D_0 -g_0\right)(n+a)-\mu_0=0.
+\tag{20}\]</span></span> This has two solutions <span id="eq-a"><span class="math display">\[
+(n+a_\pm) = \frac1{D_0}\left(g_0-D_0/2\pm\sqrt{(g_0-D_0/2)^2+2D_0\mu_0}\right)
+\tag{21}\]</span></span> where <span class="math inline">\(a_+\)</span> is the solution with the + sign and <span class="math inline">\(a_-\)</span> is the solution with the - sign.</p>
+<p>We are only interested in the solution that goes to <span class="math inline">\(a=-\mu_0/g_0-n\)</span> when <span class="math inline">\(D_0\to 0\)</span>. This means we are interested in the solution with the - sign. To check that indeed the solution <span class="math inline">\(a_{-}\)</span> satisfies <span class="math inline">\(\lim_{a_-\to 0}= -\mu_0/g_0-n\)</span> it is helpful to expand the square root term around <span class="math inline">\(D_0=0\)</span>: <span id="eq-sqrt"><span class="math display">\[
+\sqrt{(g_0-D_0/2)^2+2D_0\mu_0}=g_0+\frac{-g_0+2\mu_0}{2g_0}D_0+\frac{g_0^2-(-g_0+2\mu_0)^2}{8g_0^3}D_0^2+\dots
+\tag{22}\]</span></span> So we find <span id="eq-a-2"><span class="math display">\[
+\begin{split}
+a &amp;= -n+\frac1{D_0}\left(g_0-D_0/2-\sqrt{(g_0-D_0/2)^2+2D_0\mu_0}\right)\\
+&amp;\approx -n-\frac{\mu_0}{g_0} - \frac18\left(1-\left(-1+2\frac{\mu_0}{g_0}\right)^2\right) D_0+\dots\\
+&amp;=-n-\frac{\mu_0}{g_0} +\frac12\left(\frac{\mu_0}{g_0}\left(1-\frac{\mu_0}{g_0}\right)\right)\frac{D_0}{g_0}+\dots
+\end{split}
+\tag{23}\]</span></span></p>
+<p>We see that when <span class="math inline">\(\mu_0=g_0\)</span> then the first correction term to the juvenile slope vanishes. The largest increase in slope (i.e., the least negative slope) is achieved when <span class="math inline">\(\mu_0/g_0=1/2\)</span>. In that case the slope without diffusion is <span class="math inline">\(-1.25\)</span> (assuming <span class="math inline">\(n=0.75\)</span>). The correction term then is <span class="math inline">\(D_0/(8g_0)\)</span>. We had already seen in the previous section that <span class="math inline">\(D_0/g_0\)</span> is typically very small, so the change in slope is also very small.</p>
+<p>Using the example value of <span class="math inline">\(D_0/g_0\approx0.59\)</span> and <span class="math inline">\(n=0.75\)</span> we get a slope correction of approximately <span class="math inline">\(0.074\)</span> from <span class="math inline">\(-1.25\)</span> to <span class="math inline">\(-1.176\)</span>.</p>
+<p>Using the value <span class="math inline">\(D_0/g_0\approx0.01\)</span> we get a smaller slope correction of approximately <span class="math inline">\(0.002\)</span> from <span class="math inline">\(-1.25\)</span> to <span class="math inline">\(-1.248\)</span>.</p>
+<p>When <span class="math inline">\(\mu_0/g_0&gt;1\)</span> then the diffusion correction is negative, i.e., the juvenile slope becomes more negative due to diffusion, meaning fewer large fish.</p>
+<div id="refs" class="references csl-bib-body hanging-indent" data-entry-spacing="0" role="list">
+<div id="ref-datta2010" class="csl-entry" role="listitem">
+Datta, Samik, Gustav W. Delius, and Richard Law. 2010. <span>‘A Jump-Growth Model for Predator-Prey Dynamics: Derivation and Application to Marine Ecosystems’</span>. <em>Bulletin of Mathematical Biology</em> 72 (6): 1361–82. <a href="https://doi.org/10.1007/s11538-009-9496-5" class="external-link">https://doi.org/10.1007/s11538-009-9496-5</a>.
+</div>
+<div id="ref-datta2010a" class="csl-entry" role="listitem">
+Datta, Samik, Gustav W. Delius, Richard Law, and Michael J. Plank. 2010. <span>‘A Stability Analysis of the Power-Law Steady State of Marine Size Spectra’</span>. <em>Journal of Mathematical Biology</em> 63 (December): 779–99. <a href="https://doi.org/10.1007/s00285-010-0387-z" class="external-link">https://doi.org/10.1007/s00285-010-0387-z</a>.
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new file mode 100644
index 000000000..e6ae635cb
--- /dev/null
+++ b/docs/articles/predation_diffusion_files/libs/quarto-html/tippy.css
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new file mode 100644
index 000000000..ca292be32
--- /dev/null
+++ b/docs/articles/predation_diffusion_files/libs/quarto-html/tippy.umd.min.js
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diff --git a/docs/articles/publications.html b/docs/articles/publications.html
index 1fdf111c3..e726c28c9 100644
--- a/docs/articles/publications.html
+++ b/docs/articles/publications.html
@@ -17,7 +17,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
 <link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
 <script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet">
 <link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet">
@@ -31,7 +31,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -54,13 +54,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -73,6 +81,7 @@
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
       </ul>
 <ul class="navbar-nav">
+<li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
 <li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json">
 </form></li>
diff --git a/docs/articles/running_a_simulation.html b/docs/articles/running_a_simulation.html
index 7b43ed440..351cf96dc 100644
--- a/docs/articles/running_a_simulation.html
+++ b/docs/articles/running_a_simulation.html
@@ -17,7 +17,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
 <link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
 <script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet">
 <link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet">
@@ -31,7 +31,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -54,13 +54,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -73,6 +81,7 @@
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
       </ul>
 <ul class="navbar-nav">
+<li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
 <li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json">
 </form></li>
@@ -257,6 +266,9 @@ <h3 id="projections-with-single-simple-constant-effort">Projections with single,
 <div class="sourceCode" id="cb1"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/base/summary.html" class="external-link">summary</a></span><span class="op">(</span><span class="va">NS_params</span><span class="op">)</span></span></code></pre></div>
 <pre><code><span><span class="co">## An object of class "MizerParams" </span></span>
+<span><span class="co">## mizer version: 2.5.4.9123</span></span>
+<span><span class="co">## Created: 2021-09-03 20:29:38</span></span>
+<span><span class="co">## Modified: 2026-04-12 11:31:45</span></span>
 <span><span class="co">## Consumer size spectrum:</span></span>
 <span><span class="co">##  minimum size:   0.001</span></span>
 <span><span class="co">##  maximum size:   39851.3</span></span>
@@ -299,8 +311,8 @@ <h3 id="projections-with-single-simple-constant-effort">Projections with single,
 can be investigated in detail. However, we will use the basic summary
 plot that you have seen before:</p>
 <div class="sourceCode" id="cb4"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">sim</span><span class="op">)</span></span></code></pre></div>
-<p><img src="running_a_simulation_files/figure-html/plot_basic_ms_sim-1.png" class="r-plt" width="700"></p>
+<code class="sourceCode R"><span><span class="fu"><a href="../reference/plot.html">plot</a></span><span class="op">(</span><span class="va">sim</span><span class="op">)</span></span></code></pre></div>
+<p><img src="running_a_simulation_files/figure-html/plot_basic_ms_sim-1.png" class="r-plt" alt="" width="700"></p>
 <p>The big difference between this multispecies model and the
 trait-based model can be seen in the range of predation mortality and
 feeding level values. With the trait-based model all the
@@ -392,7 +404,7 @@ <h3 id="sec:proj_diff_gears_constant_effort">Setting constant effort for differe
 species is determined by the effort of the gear that caught it.</p>
 <div class="sourceCode" id="cb13"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu"><a href="../reference/plotFMort.html">plotFMort</a></span><span class="op">(</span><span class="va">sim</span><span class="op">)</span></span></code></pre></div>
-<p><img src="running_a_simulation_files/figure-html/plotFMort-1.png" class="r-plt" width="700"></p>
+<p><img src="running_a_simulation_files/figure-html/plotFMort-1.png" class="r-plt" alt="" width="700"></p>
 </div>
 <div class="section level3">
 <h3 id="an-example-of-changing-effort-through-time">An example of changing effort through time<a class="anchor" aria-label="anchor" href="#an-example-of-changing-effort-through-time"></a>
diff --git a/docs/articles/running_a_simulation_files/figure-html/plotFMort-1.png b/docs/articles/running_a_simulation_files/figure-html/plotFMort-1.png
index 737eaf258..c4532eef4 100644
Binary files a/docs/articles/running_a_simulation_files/figure-html/plotFMort-1.png and b/docs/articles/running_a_simulation_files/figure-html/plotFMort-1.png differ
diff --git a/docs/articles/running_a_simulation_files/figure-html/plot_basic_ms_sim-1.png b/docs/articles/running_a_simulation_files/figure-html/plot_basic_ms_sim-1.png
index 8a0c294a3..b3336161f 100644
Binary files a/docs/articles/running_a_simulation_files/figure-html/plot_basic_ms_sim-1.png and b/docs/articles/running_a_simulation_files/figure-html/plot_basic_ms_sim-1.png differ
diff --git a/docs/articles/single_species_size-spectrum_dynamics.html b/docs/articles/single_species_size-spectrum_dynamics.html
index ef78d36d5..323705f98 100644
--- a/docs/articles/single_species_size-spectrum_dynamics.html
+++ b/docs/articles/single_species_size-spectrum_dynamics.html
@@ -17,7 +17,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
 <link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
 <script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet">
 <link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet">
@@ -38,7 +38,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -61,13 +61,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -80,6 +88,7 @@
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
       </ul>
 <ul class="navbar-nav">
+<li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
 <li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json">
 </form></li>
@@ -266,7 +275,7 @@ <h2 id="steady-state-spectrum">Steady state spectrum<a class="anchor" aria-label
 function.</p>
 <div class="sourceCode" id="cb5"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu"><a href="../reference/plotSpectra.html">plotSpectra</a></span><span class="op">(</span><span class="va">params</span>, power <span class="op">=</span> <span class="fl">0</span><span class="op">)</span></span></code></pre></div>
-<p><img src="single_species_size-spectrum_dynamics_files/figure-html/unnamed-chunk-4-1.png" class="r-plt" width="700"></p>
+<p><img src="single_species_size-spectrum_dynamics_files/figure-html/unnamed-chunk-4-1.png" class="r-plt" alt="" width="700"></p>
 <p>The <code>power = 0</code> argument to the <code><a href="../reference/plotSpectra.html">plotSpectra()</a></code>
 function specifies that we want to plot the number density, rather than
 for example the biomass density.</p>
@@ -306,7 +315,7 @@ <h3 id="exercise-1">Exercise 1</h3>
 <pre><code><span><span class="co">## Convergence was achieved in 1.5 years.</span></span></code></pre>
 <div class="sourceCode" id="cb8"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu"><a href="../reference/plotSpectra.html">plotSpectra</a></span><span class="op">(</span><span class="va">params2</span>, power <span class="op">=</span> <span class="fl">0</span><span class="op">)</span></span></code></pre></div>
-<img src="single_species_size-spectrum_dynamics_files/figure-html/unnamed-chunk-5-1.png" class="r-plt" width="700"></details>
+<img src="single_species_size-spectrum_dynamics_files/figure-html/unnamed-chunk-5-1.png" class="r-plt" alt="" width="700"></details>
 </div>
 <div class="section level2">
 <h2 id="numbers">Numbers<a class="anchor" aria-label="anchor" href="#numbers"></a>
@@ -392,7 +401,7 @@ <h2 id="biomass-spectra">Biomass spectra<a class="anchor" aria-label="anchor" hr
 function of size.</p>
 <div class="sourceCode" id="cb18"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu"><a href="../reference/plotSpectra.html">plotSpectra</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span></span></code></pre></div>
-<p><img src="single_species_size-spectrum_dynamics_files/figure-html/unnamed-chunk-11-1.png" class="r-plt" width="700"></p>
+<p><img src="single_species_size-spectrum_dynamics_files/figure-html/unnamed-chunk-11-1.png" class="r-plt" alt="" width="700"></p>
 <p>Now the green line representing the biomass density of the background
 has a slope of -1.05.</p>
 <p>The initial slope of the species biomass density is negative, meaning
@@ -407,7 +416,7 @@ <h2 id="biomass-spectra">Biomass spectra<a class="anchor" aria-label="anchor" hr
 argument <code>power = 2</code> to <code><a href="../reference/plotSpectra.html">plotSpectra()</a></code>.</p>
 <div class="sourceCode" id="cb19"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu"><a href="../reference/plotSpectra.html">plotSpectra</a></span><span class="op">(</span><span class="va">params</span>, power <span class="op">=</span> <span class="fl">2</span><span class="op">)</span></span></code></pre></div>
-<p><img src="single_species_size-spectrum_dynamics_files/figure-html/unnamed-chunk-12-1.png" class="r-plt" width="700"></p>
+<p><img src="single_species_size-spectrum_dynamics_files/figure-html/unnamed-chunk-12-1.png" class="r-plt" alt="" width="700"></p>
 <p>This now shows an approximately constant biomass density as a
 function of log size (the slope of the green line is -0.05). The biomass
 density of the species as a function of log size initially increases. So
@@ -510,7 +519,7 @@ <h2 id="allometric-rates">Allometric rates<a class="anchor" aria-label="anchor"
 <span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/labs.html" class="external-link">labs</a></span><span class="op">(</span>x <span class="op">=</span> <span class="st">"Weight [g]"</span>,</span>
 <span>         y <span class="op">=</span> <span class="st">"Growth rate [g/year]"</span><span class="op">)</span></span>
 <span><span class="va">p</span></span></code></pre></div>
-<p><img src="single_species_size-spectrum_dynamics_files/figure-html/unnamed-chunk-20-1.png" class="r-plt" width="700"></p>
+<p><img src="single_species_size-spectrum_dynamics_files/figure-html/unnamed-chunk-20-1.png" class="r-plt" alt="" width="700"></p>
 <p>Note how we linked the x axis to the <code>w</code> variable and the
 y axis to the <code>value</code> variable and specified that both axes
 should be on a logarithmic scale.</p>
@@ -539,24 +548,21 @@ <h2 id="allometric-rates">Allometric rates<a class="anchor" aria-label="anchor"
 <h3 id="exercise-3">Exercise 3</h3>
 <p>Now over to you. Do exercise 3 in the exercise notebook. Use the
 methods you have just seen to make a log-log plot of the mortality rate.
-You can get the mortality rate with the <code><a href="../reference/getMort.html">getMort()</a></code> function.
-While adjusting the code to this new task, you need to take into account
-that the name of the size-dimension of the array returned by
-<code><a href="../reference/getMort.html">getMort()</a></code> is <code>"w_prey"</code> instead of
-<code>"w"</code>.</p>
+You can get the mortality rate with the <code><a href="../reference/getMort.html">getMort()</a></code>
+function.</p>
 </blockquote>
 <details><summary>
 Solution
 </summary><div class="sourceCode" id="cb34"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="va">mort_rate_frame</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/reshape2/man/melt.html" class="external-link">melt</a></span><span class="op">(</span><span class="fu"><a href="../reference/getMort.html">getMort</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span><span class="op">)</span></span>
 <span><span class="va">p</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/ggplot.html" class="external-link">ggplot</a></span><span class="op">(</span><span class="va">mort_rate_frame</span><span class="op">)</span> <span class="op">+</span></span>
-<span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/geom_path.html" class="external-link">geom_line</a></span><span class="op">(</span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/aes.html" class="external-link">aes</a></span><span class="op">(</span>x <span class="op">=</span> <span class="va">w_prey</span>, y <span class="op">=</span> <span class="va">value</span><span class="op">)</span><span class="op">)</span> <span class="op">+</span></span>
+<span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/geom_path.html" class="external-link">geom_line</a></span><span class="op">(</span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/aes.html" class="external-link">aes</a></span><span class="op">(</span>x <span class="op">=</span> <span class="va">w</span>, y <span class="op">=</span> <span class="va">value</span><span class="op">)</span><span class="op">)</span> <span class="op">+</span></span>
 <span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/scale_continuous.html" class="external-link">scale_x_log10</a></span><span class="op">(</span><span class="op">)</span> <span class="op">+</span></span>
 <span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/scale_continuous.html" class="external-link">scale_y_log10</a></span><span class="op">(</span><span class="op">)</span> <span class="op">+</span></span>
 <span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/labs.html" class="external-link">labs</a></span><span class="op">(</span>x <span class="op">=</span> <span class="st">"Weight [g]"</span>,</span>
 <span>         y <span class="op">=</span> <span class="st">"Growth rate [g/year]"</span><span class="op">)</span></span>
 <span><span class="va">p</span></span></code></pre></div>
-<p><img src="single_species_size-spectrum_dynamics_files/figure-html/unnamed-chunk-25-1.png" class="r-plt" width="700"></p>
+<p><img src="single_species_size-spectrum_dynamics_files/figure-html/unnamed-chunk-25-1.png" class="r-plt" alt="" width="700"></p>
 </details><blockquote>
 <p>Then fit a linear model to determine the slope and and intercept and
 thus the allometric exponent and the coefficient for the mortality rate,
@@ -566,14 +572,14 @@ <h3 id="exercise-3">Exercise 3</h3>
 <details><summary>
 Solution
 </summary><div class="sourceCode" id="cb35"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/stats/lm.html" class="external-link">lm</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/Log.html" class="external-link">log</a></span><span class="op">(</span><span class="va">mort_rate_frame</span><span class="op">$</span><span class="va">value</span><span class="op">)</span> <span class="op">~</span> <span class="fu"><a href="https://rdrr.io/r/base/Log.html" class="external-link">log</a></span><span class="op">(</span><span class="va">mort_rate_frame</span><span class="op">$</span><span class="va">w_prey</span><span class="op">)</span><span class="op">)</span></span></code></pre></div>
+<code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/stats/lm.html" class="external-link">lm</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/Log.html" class="external-link">log</a></span><span class="op">(</span><span class="va">mort_rate_frame</span><span class="op">$</span><span class="va">value</span><span class="op">)</span> <span class="op">~</span> <span class="fu"><a href="https://rdrr.io/r/base/Log.html" class="external-link">log</a></span><span class="op">(</span><span class="va">mort_rate_frame</span><span class="op">$</span><span class="va">w</span><span class="op">)</span><span class="op">)</span></span></code></pre></div>
 <pre><code><span><span class="co">## </span></span>
 <span><span class="co">## Call:</span></span>
-<span><span class="co">## lm(formula = log(mort_rate_frame$value) ~ log(mort_rate_frame$w_prey))</span></span>
+<span><span class="co">## lm(formula = log(mort_rate_frame$value) ~ log(mort_rate_frame$w))</span></span>
 <span><span class="co">## </span></span>
 <span><span class="co">## Coefficients:</span></span>
-<span><span class="co">##                 (Intercept)  log(mort_rate_frame$w_prey)  </span></span>
-<span><span class="co">##                        1.36                        -0.25</span></span></code></pre>
+<span><span class="co">##            (Intercept)  log(mort_rate_frame$w)  </span></span>
+<span><span class="co">##                   1.36                   -0.25</span></span></code></pre>
 </details>
 </div>
 <div class="section level2">
@@ -601,7 +607,7 @@ <h2 id="slope-of-juvenile-spectrum">Slope of juvenile spectrum<a class="anchor"
 <span>  <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/scale_continuous.html" class="external-link">scale_y_log10</a></span><span class="op">(</span><span class="op">)</span> <span class="op">+</span></span>
 <span>  <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/labs.html" class="external-link">labs</a></span><span class="op">(</span>x <span class="op">=</span> <span class="st">"Weight [g]"</span>,</span>
 <span>       y <span class="op">=</span> <span class="st">"Number density [1/g]"</span><span class="op">)</span></span></code></pre></div>
-<p><img src="single_species_size-spectrum_dynamics_files/figure-html/unnamed-chunk-27-1.png" class="r-plt" width="700"></p>
+<p><img src="single_species_size-spectrum_dynamics_files/figure-html/unnamed-chunk-27-1.png" class="r-plt" alt="" width="700"></p>
 <p>That confirms what we had seen earlier, that for fish less than 10
 grams the number density is a power law. To determine the exponent of
 the power law we need the slope of that straight line in the log-log
@@ -647,7 +653,7 @@ <h3 id="investment-into-reproduction">Investment into reproduction<a class="anch
 <span>  <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/geom_path.html" class="external-link">geom_line</a></span><span class="op">(</span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/aes.html" class="external-link">aes</a></span><span class="op">(</span>x <span class="op">=</span> <span class="va">w</span>, y <span class="op">=</span> <span class="va">value</span><span class="op">)</span><span class="op">)</span> <span class="op">+</span></span>
 <span>  <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/labs.html" class="external-link">labs</a></span><span class="op">(</span>x <span class="op">=</span> <span class="st">"Weight [g]"</span>,</span>
 <span>       y <span class="op">=</span> <span class="st">"Proportion invested into reproduction"</span><span class="op">)</span></span></code></pre></div>
-<p><img src="single_species_size-spectrum_dynamics_files/figure-html/unnamed-chunk-31-1.png" class="r-plt" width="700"></p>
+<p><img src="single_species_size-spectrum_dynamics_files/figure-html/unnamed-chunk-31-1.png" class="r-plt" alt="" width="700"></p>
 <p>How was this maturity curve specified? You can find the details in
 the <a href="https://sizespectrum.org/mizer/reference/setReproduction.html#investment">mizer
 documentation</a>. We look at three species parameters that are
@@ -669,8 +675,10 @@ <h3 id="investment-into-reproduction">Investment into reproduction<a class="anch
 <span><span class="co">## Target species Target species 0.001   100 25.11886         1 30 2066.004  3 0.6</span></span>
 <span><span class="co">##                  fc beta sigma z0 alpha   erepro    n    p w_repro_max</span></span>
 <span><span class="co">## Target species 0.25  100   1.3  0   0.4 0.899483 0.75 0.75         100</span></span>
-<span><span class="co">##                interaction_resource pred_kernel_type k   q  w_mat25 m R_max</span></span>
-<span><span class="co">## Target species                    1        lognormal 0 0.8 22.50546 1   Inf</span></span></code></pre>
+<span><span class="co">##                interaction_resource z_ext     d E_ext D_ext is_background</span></span>
+<span><span class="co">## Target species                    1     0 -0.25     0     0         FALSE</span></span>
+<span><span class="co">##                pred_kernel_type k   q  w_mat25 m R_max</span></span>
+<span><span class="co">## Target species        lognormal 0 0.8 22.50546 1   Inf</span></span></code></pre>
 <p>As you can see, there are a lot of other species parameters, some of
 which we will talk about later. For now let’s just select the three
 parameters we are interested in.</p>
@@ -702,7 +710,7 @@ <h3 id="effect-of-change-in-maturity-curve">Effect of change in maturity curve<a
 <span>  <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/geom_path.html" class="external-link">geom_line</a></span><span class="op">(</span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/aes.html" class="external-link">aes</a></span><span class="op">(</span>x <span class="op">=</span> <span class="va">w</span>, y <span class="op">=</span> <span class="va">value</span><span class="op">)</span><span class="op">)</span> <span class="op">+</span></span>
 <span>  <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/labs.html" class="external-link">labs</a></span><span class="op">(</span>x <span class="op">=</span> <span class="st">"Weight [g]"</span>,</span>
 <span>       y <span class="op">=</span> <span class="st">"Proportion invested into reproduction"</span><span class="op">)</span></span></code></pre></div>
-<p><img src="single_species_size-spectrum_dynamics_files/figure-html/unnamed-chunk-36-1.png" class="r-plt" width="700"></p>
+<p><img src="single_species_size-spectrum_dynamics_files/figure-html/unnamed-chunk-36-1.png" class="r-plt" alt="" width="700"></p>
 <p>At this point let’s take a little break and learn how to draw two
 curves in the same graph. How can we see the old maturity curve and the
 new maturity curve in the same plot? First we add an extra column to
@@ -719,7 +727,7 @@ <h3 id="effect-of-change-in-maturity-curve">Effect of change in maturity curve<a
 <span>  <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/geom_path.html" class="external-link">geom_line</a></span><span class="op">(</span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/aes.html" class="external-link">aes</a></span><span class="op">(</span>x <span class="op">=</span> <span class="va">w</span>, y <span class="op">=</span> <span class="va">value</span>, colour <span class="op">=</span> <span class="va">type</span><span class="op">)</span><span class="op">)</span> <span class="op">+</span></span>
 <span>  <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/labs.html" class="external-link">labs</a></span><span class="op">(</span>x <span class="op">=</span> <span class="st">"Weight [g]"</span>,</span>
 <span>       y <span class="op">=</span> <span class="st">"Proportion invested into reproduction"</span><span class="op">)</span></span></code></pre></div>
-<p><img src="single_species_size-spectrum_dynamics_files/figure-html/unnamed-chunk-39-1.png" class="r-plt" width="700"></p>
+<p><img src="single_species_size-spectrum_dynamics_files/figure-html/unnamed-chunk-39-1.png" class="r-plt" alt="" width="700"></p>
 <p>This change in the maturity curve of course implies a change in the
 growth rates.</p>
 <blockquote>
@@ -739,13 +747,13 @@ <h3 id="exercise-4">Exercise 4</h3>
 <span>  <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/geom_path.html" class="external-link">geom_line</a></span><span class="op">(</span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/aes.html" class="external-link">aes</a></span><span class="op">(</span>x <span class="op">=</span> <span class="va">w</span>, y <span class="op">=</span> <span class="va">value</span>, colour <span class="op">=</span> <span class="va">type</span><span class="op">)</span><span class="op">)</span> <span class="op">+</span></span>
 <span>  <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/labs.html" class="external-link">labs</a></span><span class="op">(</span>x <span class="op">=</span> <span class="st">"Weight [g]"</span>,</span>
 <span>       y <span class="op">=</span> <span class="st">"Growth rate [g/year]"</span><span class="op">)</span></span></code></pre></div>
-<p><img src="single_species_size-spectrum_dynamics_files/figure-html/unnamed-chunk-40-1.png" class="r-plt" width="700"></p>
+<p><img src="single_species_size-spectrum_dynamics_files/figure-html/unnamed-chunk-40-1.png" class="r-plt" alt="" width="700"></p>
 </details><p>Next let us look at how the steady state spectrum has changed. We
 first need to run the changed model to steady state</p>
 <div class="sourceCode" id="cb54"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="va">params_changed_maturity</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/steady.html">steady</a></span><span class="op">(</span><span class="va">params_changed_maturity</span><span class="op">)</span></span></code></pre></div>
 <pre><code><span><span class="co">## Convergence was achieved in 7.5 years.</span></span></code></pre>
-<pre><code><span><span class="co">## Warning in setBevertonHolt(params, reproduction_level = old_reproduction_level): The following species require an unrealistic value greater than 1 for `erepro`: Target species</span></span></code></pre>
+<pre><code><span><span class="co">## Warning in setBevertonHolt.MizerParams(params, reproduction_level = old_reproduction_level): The following species require an unrealistic value greater than 1 for `erepro`: Target species</span></span></code></pre>
 <p>We use the same technique as above to plot the steady-state spectra
 of both models on top of each other.</p>
 <div class="sourceCode" id="cb57"><pre class="downlit sourceCode r">
@@ -760,7 +768,7 @@ <h3 id="exercise-4">Exercise 4</h3>
 <span>  <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/scale_continuous.html" class="external-link">scale_y_log10</a></span><span class="op">(</span><span class="op">)</span> <span class="op">+</span></span>
 <span>  <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/labs.html" class="external-link">labs</a></span><span class="op">(</span>x <span class="op">=</span> <span class="st">"Weight [g]"</span>,</span>
 <span>       y <span class="op">=</span> <span class="st">"Number density [1/g]"</span><span class="op">)</span></span></code></pre></div>
-<p><img src="single_species_size-spectrum_dynamics_files/figure-html/unnamed-chunk-42-1.png" class="r-plt" width="700"></p>
+<p><img src="single_species_size-spectrum_dynamics_files/figure-html/unnamed-chunk-42-1.png" class="r-plt" alt="" width="700"></p>
 <p>As expected, the bump happens later due to the larger maturity size
 and it is less pronounced, because the maturity curve is less steep.</p>
 </div>
@@ -825,10 +833,10 @@ <h3 id="effect-of-prey-availability">Effect of prey availability<a class="anchor
 <div class="sourceCode" id="cb63"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="va">params_starved</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/steady.html">steady</a></span><span class="op">(</span><span class="va">params_starved</span><span class="op">)</span></span></code></pre></div>
 <pre><code><span><span class="co">## Convergence was achieved in 9 years.</span></span></code></pre>
-<pre><code><span><span class="co">## Warning in setBevertonHolt(params, reproduction_level = old_reproduction_level): The following species require an unrealistic value greater than 1 for `erepro`: Target species</span></span></code></pre>
+<pre><code><span><span class="co">## Warning in setBevertonHolt.MizerParams(params, reproduction_level = old_reproduction_level): The following species require an unrealistic value greater than 1 for `erepro`: Target species</span></span></code></pre>
 <div class="sourceCode" id="cb66"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu"><a href="../reference/plotSpectra.html">plotSpectra</a></span><span class="op">(</span><span class="va">params_starved</span>, power <span class="op">=</span> <span class="fl">2</span><span class="op">)</span></span></code></pre></div>
-<p><img src="single_species_size-spectrum_dynamics_files/figure-html/unnamed-chunk-47-1.png" class="r-plt" width="700"></p>
+<p><img src="single_species_size-spectrum_dynamics_files/figure-html/unnamed-chunk-47-1.png" class="r-plt" alt="" width="700"></p>
 <p>As expected, the lack of food and the resulting slow-down in growth
 leads to a traffic jam: a peak in the biomass density. This slow-down
 occurs at a size that is about a factor of 100 larger than the size at
@@ -852,7 +860,7 @@ <h3 id="exercise-5">Exercise 5</h3>
 <pre><code><span><span class="co">## Convergence was achieved in 7.5 years.</span></span></code></pre>
 <div class="sourceCode" id="cb69"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu"><a href="../reference/plotSpectra.html">plotSpectra</a></span><span class="op">(</span><span class="va">params_overfed</span>, power <span class="op">=</span> <span class="fl">2</span><span class="op">)</span></span></code></pre></div>
-<img src="single_species_size-spectrum_dynamics_files/figure-html/unnamed-chunk-48-1.png" class="r-plt" width="700"></details>
+<img src="single_species_size-spectrum_dynamics_files/figure-html/unnamed-chunk-48-1.png" class="r-plt" alt="" width="700"></details>
 </div>
 <div class="section level3">
 <h3 id="how-predation-is-modelled">How predation is modelled<a class="anchor" aria-label="anchor" href="#how-predation-is-modelled"></a>
@@ -910,7 +918,7 @@ <h3 id="the-predation-kernel">The predation kernel<a class="anchor" aria-label="
 <code class="sourceCode R"><span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/ggplot.html" class="external-link">ggplot</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/pkg/reshape2/man/melt.html" class="external-link">melt</a></span><span class="op">(</span><span class="va">pred_kernel_10</span><span class="op">)</span><span class="op">)</span> <span class="op">+</span></span>
 <span>  <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/geom_path.html" class="external-link">geom_line</a></span><span class="op">(</span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/aes.html" class="external-link">aes</a></span><span class="op">(</span>x <span class="op">=</span> <span class="va">w_prey</span>, y <span class="op">=</span> <span class="va">value</span><span class="op">)</span><span class="op">)</span> <span class="op">+</span></span>
 <span>  <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/scale_continuous.html" class="external-link">scale_x_log10</a></span><span class="op">(</span><span class="op">)</span></span></code></pre></div>
-<p><img src="single_species_size-spectrum_dynamics_files/figure-html/unnamed-chunk-51-1.png" class="r-plt" width="700"></p>
+<p><img src="single_species_size-spectrum_dynamics_files/figure-html/unnamed-chunk-51-1.png" class="r-plt" alt="" width="700"></p>
 <p>We see that the predator of size 10g likes to feed on prey that is
 about a factor 100 smaller than itself, but also feeds on other sizes,
 just with reduced preference. The preferred predator/prey size ratio is
@@ -936,7 +944,7 @@ <h3 id="the-predation-kernel">The predation kernel<a class="anchor" aria-label="
 <span>  <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/ggplot.html" class="external-link">ggplot</a></span><span class="op">(</span><span class="op">)</span> <span class="op">+</span></span>
 <span>  <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/geom_path.html" class="external-link">geom_line</a></span><span class="op">(</span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/aes.html" class="external-link">aes</a></span><span class="op">(</span>x <span class="op">=</span> <span class="va">w_prey</span>, y <span class="op">=</span> <span class="va">value</span><span class="op">)</span><span class="op">)</span> <span class="op">+</span></span>
 <span>  <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/scale_continuous.html" class="external-link">scale_x_log10</a></span><span class="op">(</span><span class="op">)</span></span></code></pre></div>
-<p><img src="single_species_size-spectrum_dynamics_files/figure-html/unnamed-chunk-54-1.png" class="r-plt" width="700"></p>
+<p><img src="single_species_size-spectrum_dynamics_files/figure-html/unnamed-chunk-54-1.png" class="r-plt" alt="" width="700"></p>
 <p>If we now again reduce the prey in the size range from 1mg to 10mg as
 before, we now expect this to produce a peak in the biomass spectrum
 somewhere between 1g and 10g. Let’s check.</p>
@@ -944,10 +952,10 @@ <h3 id="the-predation-kernel">The predation kernel<a class="anchor" aria-label="
 <code class="sourceCode R"><span><span class="fu"><a href="../reference/initialNResource-set.html">initialNResource</a></span><span class="op">(</span><span class="va">params_pk</span><span class="op">)</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/initialNResource-set.html">initialNResource</a></span><span class="op">(</span><span class="va">params_starved</span><span class="op">)</span></span>
 <span><span class="va">params_pk</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/steady.html">steady</a></span><span class="op">(</span><span class="va">params_pk</span><span class="op">)</span></span></code></pre></div>
 <pre><code><span><span class="co">## Convergence was achieved in 7.5 years.</span></span></code></pre>
-<pre><code><span><span class="co">## Warning in setBevertonHolt(params, reproduction_level = old_reproduction_level): The following species require an unrealistic value greater than 1 for `erepro`: Target species</span></span></code></pre>
+<pre><code><span><span class="co">## Warning in setBevertonHolt.MizerParams(params, reproduction_level = old_reproduction_level): The following species require an unrealistic value greater than 1 for `erepro`: Target species</span></span></code></pre>
 <div class="sourceCode" id="cb80"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu"><a href="../reference/plotSpectra.html">plotSpectra</a></span><span class="op">(</span><span class="va">params_pk</span>, power <span class="op">=</span> <span class="fl">2</span><span class="op">)</span></span></code></pre></div>
-<p><img src="single_species_size-spectrum_dynamics_files/figure-html/unnamed-chunk-55-1.png" class="r-plt" width="700"></p>
+<p><img src="single_species_size-spectrum_dynamics_files/figure-html/unnamed-chunk-55-1.png" class="r-plt" alt="" width="700"></p>
 <p>Yes, as expected.</p>
 <p>For details of how <code>beta</code> and <code>sigma</code>
 parametrise the predation kernel, see <a href="https://sizespectrum.org/mizer/reference/lognormal_pred_kernel.html#details" class="uri">https://sizespectrum.org/mizer/reference/lognormal_pred_kernel.html#details</a>.
@@ -980,7 +988,7 @@ <h3 id="exercise-6">Exercise 6</h3>
 <span>  <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/ggplot.html" class="external-link">ggplot</a></span><span class="op">(</span><span class="op">)</span> <span class="op">+</span></span>
 <span>  <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/geom_path.html" class="external-link">geom_line</a></span><span class="op">(</span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/aes.html" class="external-link">aes</a></span><span class="op">(</span>x <span class="op">=</span> <span class="va">w_prey</span>, y <span class="op">=</span> <span class="va">value</span><span class="op">)</span><span class="op">)</span> <span class="op">+</span></span>
 <span>  <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/scale_continuous.html" class="external-link">scale_x_log10</a></span><span class="op">(</span><span class="op">)</span></span></code></pre></div>
-<p><img src="single_species_size-spectrum_dynamics_files/figure-html/unnamed-chunk-56-1.png" class="r-plt" width="700"></p>
+<p><img src="single_species_size-spectrum_dynamics_files/figure-html/unnamed-chunk-56-1.png" class="r-plt" alt="" width="700"></p>
 </details><blockquote>
 <p>Next, plot the steady state arising with this feeding kernel when the
 prey abundance is artificially reduced by a factor of 10 in the size
@@ -995,7 +1003,7 @@ <h3 id="exercise-6">Exercise 6</h3>
 <pre><code><span><span class="co">## Convergence was achieved in 7.5 years.</span></span></code></pre>
 <div class="sourceCode" id="cb84"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu"><a href="../reference/plotSpectra.html">plotSpectra</a></span><span class="op">(</span><span class="va">params3</span>, power <span class="op">=</span> <span class="fl">2</span><span class="op">)</span></span></code></pre></div>
-<img src="single_species_size-spectrum_dynamics_files/figure-html/unnamed-chunk-57-1.png" class="r-plt" width="700">
+<img src="single_species_size-spectrum_dynamics_files/figure-html/unnamed-chunk-57-1.png" class="r-plt" alt="" width="700">
 There is no pronounced bump created this time. This is because the
 larvae experience a decreased growth rate already almost from the start
 of their life. So th
@@ -1036,16 +1044,16 @@ <h3 id="search-volume">Search volume<a class="anchor" aria-label="anchor" href="
 <code class="sourceCode R"><span><span class="va">params_new_gamma</span> <span class="op">&lt;-</span> <span class="va">params</span></span>
 <span><span class="fu"><a href="../reference/species_params.html">species_params</a></span><span class="op">(</span><span class="va">params_new_gamma</span><span class="op">)</span><span class="op">$</span><span class="va">gamma</span> <span class="op">&lt;-</span> <span class="fl">2000</span></span>
 <span><span class="va">params_new_gamma</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/steady.html">steady</a></span><span class="op">(</span><span class="va">params_new_gamma</span><span class="op">)</span></span></code></pre></div>
-<pre><code><span><span class="co">## Warning in setBevertonHolt(params, reproduction_level = old_reproduction_level): The following species require an unrealistic value greater than 1 for `erepro`: Target species</span></span></code></pre>
+<pre><code><span><span class="co">## Warning in setBevertonHolt.MizerParams(params, reproduction_level = old_reproduction_level): The following species require an unrealistic value greater than 1 for `erepro`: Target species</span></span></code></pre>
 <p>We can see the effect in the growth curve of our species. In the
 original model it looks as follows:</p>
 <div class="sourceCode" id="cb89"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu"><a href="../reference/plotGrowthCurves.html">plotGrowthCurves</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span></span></code></pre></div>
-<p><img src="single_species_size-spectrum_dynamics_files/figure-html/unnamed-chunk-60-1.png" class="r-plt" width="700"></p>
+<p><img src="single_species_size-spectrum_dynamics_files/figure-html/unnamed-chunk-60-1.png" class="r-plt" alt="" width="700"></p>
 <p>In the modified model it looks like</p>
 <div class="sourceCode" id="cb90"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu"><a href="../reference/plotGrowthCurves.html">plotGrowthCurves</a></span><span class="op">(</span><span class="va">params_new_gamma</span><span class="op">)</span></span></code></pre></div>
-<p><img src="single_species_size-spectrum_dynamics_files/figure-html/unnamed-chunk-61-1.png" class="r-plt" width="700"></p>
+<p><img src="single_species_size-spectrum_dynamics_files/figure-html/unnamed-chunk-61-1.png" class="r-plt" alt="" width="700"></p>
 <blockquote>
 <h3 id="exercise-7">Exercise 7</h3>
 <p>What effect will this change in growth rate have on the slope of the
@@ -1069,7 +1077,7 @@ <h3 id="exercise-7">Exercise 7</h3>
 <span>  <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/scale_continuous.html" class="external-link">scale_y_log10</a></span><span class="op">(</span><span class="op">)</span> <span class="op">+</span></span>
 <span>  <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/labs.html" class="external-link">labs</a></span><span class="op">(</span>x <span class="op">=</span> <span class="st">"Weight [g]"</span>,</span>
 <span>       y <span class="op">=</span> <span class="st">"Number density [1/g]"</span><span class="op">)</span></span></code></pre></div>
-<p><img src="single_species_size-spectrum_dynamics_files/figure-html/unnamed-chunk-62-1.png" class="r-plt" width="700"></p>
+<p><img src="single_species_size-spectrum_dynamics_files/figure-html/unnamed-chunk-62-1.png" class="r-plt" alt="" width="700"></p>
 </details>
 </div>
 <div class="section level3">
@@ -1084,12 +1092,12 @@ <h3 id="feeding-level">Feeding level<a class="anchor" aria-label="anchor" href="
 <p>In our simple model this feeding level is constant.</p>
 <div class="sourceCode" id="cb92"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu"><a href="../reference/plotFeedingLevel.html">plotFeedingLevel</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span></span></code></pre></div>
-<p><img src="single_species_size-spectrum_dynamics_files/figure-html/unnamed-chunk-63-1.png" class="r-plt" width="700"></p>
+<p><img src="single_species_size-spectrum_dynamics_files/figure-html/unnamed-chunk-63-1.png" class="r-plt" alt="" width="700"></p>
 <p>In the model with the reduced search volume the feeding level will be
 lower</p>
 <div class="sourceCode" id="cb93"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu"><a href="../reference/plotFeedingLevel.html">plotFeedingLevel</a></span><span class="op">(</span><span class="va">params_new_gamma</span><span class="op">)</span></span></code></pre></div>
-<p><img src="single_species_size-spectrum_dynamics_files/figure-html/unnamed-chunk-64-1.png" class="r-plt" width="700"></p>
+<p><img src="single_species_size-spectrum_dynamics_files/figure-html/unnamed-chunk-64-1.png" class="r-plt" alt="" width="700"></p>
 <p>Our model is taking an allometric form for the maximum intake rate
 <span class="math inline">\(h(w)\)</span> as a function of predator size
 <span class="math inline">\(w\)</span>: <span class="math inline">\(h(w)
@@ -1143,7 +1151,7 @@ <h3 id="fishing-mortality">Fishing mortality<a class="anchor" aria-label="anchor
 <div class="sourceCode" id="cb97"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="va">params_fishing</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/setFishing.html">setFishing</a></span><span class="op">(</span><span class="va">params_fishing</span>, initial_effort <span class="op">=</span> <span class="fl">1</span><span class="op">)</span></span>
 <span><span class="fu"><a href="../reference/plotFMort.html">plotFMort</a></span><span class="op">(</span><span class="va">params_fishing</span><span class="op">)</span></span></code></pre></div>
-<p><img src="single_species_size-spectrum_dynamics_files/figure-html/unnamed-chunk-67-1.png" class="r-plt" width="700"></p>
+<p><img src="single_species_size-spectrum_dynamics_files/figure-html/unnamed-chunk-67-1.png" class="r-plt" alt="" width="700"></p>
 </div>
 </div>
 <div class="section level2">
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diff --git a/docs/articles/trait_model.html b/docs/articles/trait_model.html
index 7ea8b7c0c..31c59e1b6 100644
--- a/docs/articles/trait_model.html
+++ b/docs/articles/trait_model.html
@@ -17,7 +17,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
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 <link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet">
@@ -31,7 +31,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -54,13 +54,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -73,6 +81,7 @@
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
       </ul>
 <ul class="navbar-nav">
+<li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
 <li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json">
 </form></li>
@@ -160,6 +169,9 @@ <h2 id="sec:set_up_trait_model">Setting up a trait-based model<a class="anchor"
 <div class="sourceCode" id="cb2"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/base/summary.html" class="external-link">summary</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span></span></code></pre></div>
 <pre><code><span><span class="co">## An object of class "MizerParams" </span></span>
+<span><span class="co">## mizer version: 2.5.4.9125</span></span>
+<span><span class="co">## Created: 2026-05-07 18:50:42</span></span>
+<span><span class="co">## Modified: 2026-05-07 18:50:43</span></span>
 <span><span class="co">## Consumer size spectrum:</span></span>
 <span><span class="co">##  minimum size:   0.001</span></span>
 <span><span class="co">##  maximum size:   1e+05</span></span>
@@ -213,9 +225,9 @@ <h2 id="sec:running_trait_model">Running the trait-based model<a class="anchor"
 abundances of the community and resource spectra through time, as well
 as the original <code>MizerParams</code> object. As with the community
 model, we can get a quick overview of the results of the simulation by
-calling the <code><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot()</a></code> method:</p>
+calling the <code><a href="../reference/plot.html">plot()</a></code> method:</p>
 <div class="sourceCode" id="cb5"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">sim</span><span class="op">)</span></span></code></pre></div>
+<code class="sourceCode R"><span><span class="fu"><a href="../reference/plot.html">plot</a></span><span class="op">(</span><span class="va">sim</span><span class="op">)</span></span></code></pre></div>
 <p><img src="trait_model_files/figure-html/plot_comm_sim_2-1.png" class="r-plt" alt="Summary plot of the trait-based model without fishing." width="700"></p>
 <p>The summary plot has the same panels as the one generated by the
 community model, but here you can see that all the species in the
@@ -275,10 +287,10 @@ <h2 id="sec:trophic_cascade_trait_model">Example of a trophic cascade with the t
 <div class="sourceCode" id="cb8"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="va">sim1</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/project.html">project</a></span><span class="op">(</span><span class="va">params_knife</span>, effort <span class="op">=</span> <span class="fl">0.75</span>, t_max <span class="op">=</span> <span class="fl">75</span><span class="op">)</span></span></code></pre></div>
 <p>Again, we can plot the summary of the fished community using the
-default <code><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot()</a></code> function. The knife-edge selectivity at 1000
+default <code><a href="../reference/plot.html">plot()</a></code> function. The knife-edge selectivity at 1000
 g can be clearly seen in the fishing mortality panel:</p>
 <div class="sourceCode" id="cb9"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">sim1</span><span class="op">)</span></span></code></pre></div>
+<code class="sourceCode R"><span><span class="fu"><a href="../reference/plot.html">plot</a></span><span class="op">(</span><span class="va">sim1</span><span class="op">)</span></span></code></pre></div>
 <p><img src="trait_model_files/figure-html/plot_trait_fmort-1.png" class="r-plt" alt="Summary plot of the trait-based model with fishing." width="700"></p>
 <p>The trophic cascade can be explored by comparing the total abundances
 of all species at size when the community is fished and unfished. As
@@ -303,7 +315,7 @@ <h2 id="sec:trophic_cascade_trait_model">Example of a trophic cascade with the t
 <code class="sourceCode R"><span><span class="va">relative_abundance</span> <span class="op">&lt;-</span> <span class="va">total_abund1</span> <span class="op">/</span> <span class="va">total_abund0</span></span></code></pre></div>
 <p>This can be plotted using the commands below:</p>
 <div class="sourceCode" id="cb14"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span>x <span class="op">=</span> <span class="fu"><a href="../reference/w.html">w</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span>, y <span class="op">=</span> <span class="va">relative_abundance</span>, log <span class="op">=</span> <span class="st">"xy"</span>, type <span class="op">=</span> <span class="st">"n"</span>, </span>
+<code class="sourceCode R"><span><span class="fu"><a href="../reference/plot.html">plot</a></span><span class="op">(</span>x <span class="op">=</span> <span class="fu"><a href="../reference/w.html">w</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span>, y <span class="op">=</span> <span class="va">relative_abundance</span>, log <span class="op">=</span> <span class="st">"xy"</span>, type <span class="op">=</span> <span class="st">"n"</span>, </span>
 <span>     xlab <span class="op">=</span> <span class="st">"Size (g)"</span>, ylab <span class="op">=</span> <span class="st">"Relative abundance"</span>, ylim <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">0.1</span>, <span class="fl">10</span><span class="op">)</span><span class="op">)</span></span>
 <span><span class="fu"><a href="https://rdrr.io/r/graphics/lines.html" class="external-link">lines</a></span><span class="op">(</span>x <span class="op">=</span> <span class="fu"><a href="../reference/w.html">w</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span>, y <span class="op">=</span> <span class="va">relative_abundance</span><span class="op">)</span></span>
 <span><span class="fu"><a href="https://rdrr.io/r/graphics/lines.html" class="external-link">lines</a></span><span class="op">(</span>x <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/Extremes.html" class="external-link">min</a></span><span class="op">(</span><span class="fu"><a href="../reference/w.html">w</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span><span class="op">)</span>, <span class="fu"><a href="https://rdrr.io/r/base/Extremes.html" class="external-link">max</a></span><span class="op">(</span><span class="fu"><a href="../reference/w.html">w</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span><span class="op">)</span><span class="op">)</span>, y <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">1</span>, <span class="fl">1</span><span class="op">)</span>, lty <span class="op">=</span> <span class="fl">2</span><span class="op">)</span></span></code></pre></div>
@@ -326,7 +338,7 @@ <h2 id="sec:trophic_cascade_trait_model">Example of a trophic cascade with the t
 <span><span class="va">m2_with_fishing</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/getPredMort.html">getPredMort</a></span><span class="op">(</span><span class="va">params</span>, <span class="fu"><a href="../reference/finalN.html">finalN</a></span><span class="op">(</span><span class="va">sim1</span><span class="op">)</span><span class="op">)</span><span class="op">[</span><span class="fl">1</span>, <span class="op">]</span></span></code></pre></div>
 <p>The predation mortalities can then be plotted.</p>
 <div class="sourceCode" id="cb16"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span>x <span class="op">=</span> <span class="fu"><a href="../reference/w.html">w</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span>, y <span class="op">=</span> <span class="va">m2_with_fishing</span>, log <span class="op">=</span> <span class="st">"x"</span>, type <span class="op">=</span> <span class="st">"n"</span>, </span>
+<code class="sourceCode R"><span><span class="fu"><a href="../reference/plot.html">plot</a></span><span class="op">(</span>x <span class="op">=</span> <span class="fu"><a href="../reference/w.html">w</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span>, y <span class="op">=</span> <span class="va">m2_with_fishing</span>, log <span class="op">=</span> <span class="st">"x"</span>, type <span class="op">=</span> <span class="st">"n"</span>, </span>
 <span>     xlab <span class="op">=</span> <span class="st">"Size [g]"</span>, ylab <span class="op">=</span> <span class="st">"Predation Mortality [1/year]"</span><span class="op">)</span></span>
 <span><span class="fu"><a href="https://rdrr.io/r/graphics/lines.html" class="external-link">lines</a></span><span class="op">(</span>x <span class="op">=</span> <span class="fu"><a href="../reference/w.html">w</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span>, y <span class="op">=</span> <span class="va">m2_no_fishing</span>, lty <span class="op">=</span> <span class="fl">2</span><span class="op">)</span></span>
 <span><span class="fu"><a href="https://rdrr.io/r/graphics/lines.html" class="external-link">lines</a></span><span class="op">(</span>x <span class="op">=</span> <span class="fu"><a href="../reference/w.html">w</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span>, y <span class="op">=</span> <span class="va">m2_with_fishing</span><span class="op">)</span></span></code></pre></div>
@@ -435,7 +447,7 @@ <h2 id="sec:trait_additional_gear">Setting up an industrial fishing gear<a class
 of the selectivity knife-edge is given by the maximum size of the
 species.</p>
 <div class="sourceCode" id="cb25"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">sim_multi_gear</span><span class="op">)</span></span></code></pre></div>
+<code class="sourceCode R"><span><span class="fu"><a href="../reference/plot.html">plot</a></span><span class="op">(</span><span class="va">sim_multi_gear</span><span class="op">)</span></span></code></pre></div>
 <p><img src="trait_model_files/figure-html/plot_multi_gear_trait_single_effort-1.png" class="r-plt" alt="Summary plot of the trait-based model with multiple gears and a single effort." width="700"></p>
 <p>For the industrial fishery we said that we only wanted species with a
 maximum size of 500 g or less to be fished. There are several ways of
@@ -452,7 +464,7 @@ <h2 id="sec:trait_additional_gear">Setting up an industrial fishing gear<a class
 <p>Now you can see that the <em>Industrial</em> gear has been operating
 and that fishing mortality for species larger than 500 g is 0.</p>
 <div class="sourceCode" id="cb27"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">sim_multi_gear</span><span class="op">)</span></span></code></pre></div>
+<code class="sourceCode R"><span><span class="fu"><a href="../reference/plot.html">plot</a></span><span class="op">(</span><span class="va">sim_multi_gear</span><span class="op">)</span></span></code></pre></div>
 <p><img src="trait_model_files/figure-html/plot_multi_gear_trait-1.png" class="r-plt" alt="Summary plot of the trait-based model with only the Industrial gear active." width="700"></p>
 </div>
 <div class="section level2">
@@ -473,7 +485,7 @@ <h2 id="the-impact-of-industrial-fishing">The impact of industrial fishing<a cla
 <span><span class="va">relative_abundance</span> <span class="op">&lt;-</span> <span class="va">total_abund1</span> <span class="op">/</span> <span class="va">total_abund0</span></span></code></pre></div>
 <p>And plot the relative abundances:</p>
 <div class="sourceCode" id="cb29"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span>x <span class="op">=</span> <span class="fu"><a href="../reference/w.html">w</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span>, y <span class="op">=</span> <span class="va">relative_abundance</span>, log <span class="op">=</span> <span class="st">"xy"</span>, type <span class="op">=</span> <span class="st">"n"</span>, </span>
+<code class="sourceCode R"><span><span class="fu"><a href="../reference/plot.html">plot</a></span><span class="op">(</span>x <span class="op">=</span> <span class="fu"><a href="../reference/w.html">w</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span>, y <span class="op">=</span> <span class="va">relative_abundance</span>, log <span class="op">=</span> <span class="st">"xy"</span>, type <span class="op">=</span> <span class="st">"n"</span>, </span>
 <span>     xlab <span class="op">=</span> <span class="st">"Size [g]"</span>, ylab <span class="op">=</span> <span class="st">"Relative abundance"</span>, ylim <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">0.1</span>, <span class="fl">10</span><span class="op">)</span><span class="op">)</span></span>
 <span><span class="fu"><a href="https://rdrr.io/r/graphics/lines.html" class="external-link">lines</a></span><span class="op">(</span>x <span class="op">=</span> <span class="fu"><a href="../reference/w.html">w</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span>, y <span class="op">=</span> <span class="va">relative_abundance</span><span class="op">)</span></span>
 <span><span class="fu"><a href="https://rdrr.io/r/graphics/lines.html" class="external-link">lines</a></span><span class="op">(</span>x <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/Extremes.html" class="external-link">min</a></span><span class="op">(</span><span class="fu"><a href="../reference/w.html">w</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span><span class="op">)</span>, <span class="fu"><a href="https://rdrr.io/r/base/Extremes.html" class="external-link">max</a></span><span class="op">(</span><span class="fu"><a href="../reference/w.html">w</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span><span class="op">)</span><span class="op">)</span>, y <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">1</span>, <span class="fl">1</span><span class="op">)</span>, lty <span class="op">=</span> <span class="fl">2</span><span class="op">)</span></span></code></pre></div>
diff --git a/docs/articles/trait_model_files/figure-html/plot_comm_sim_2-1.png b/docs/articles/trait_model_files/figure-html/plot_comm_sim_2-1.png
index d27112a52..9c33bb98e 100644
Binary files a/docs/articles/trait_model_files/figure-html/plot_comm_sim_2-1.png and b/docs/articles/trait_model_files/figure-html/plot_comm_sim_2-1.png differ
diff --git a/docs/articles/trait_model_files/figure-html/plot_multi_gear_trait-1.png b/docs/articles/trait_model_files/figure-html/plot_multi_gear_trait-1.png
index 95ddb6588..f3c92b351 100644
Binary files a/docs/articles/trait_model_files/figure-html/plot_multi_gear_trait-1.png and b/docs/articles/trait_model_files/figure-html/plot_multi_gear_trait-1.png differ
diff --git a/docs/articles/trait_model_files/figure-html/plot_multi_gear_trait_single_effort-1.png b/docs/articles/trait_model_files/figure-html/plot_multi_gear_trait_single_effort-1.png
index 9b25c31e9..6e319ce0f 100644
Binary files a/docs/articles/trait_model_files/figure-html/plot_multi_gear_trait_single_effort-1.png and b/docs/articles/trait_model_files/figure-html/plot_multi_gear_trait_single_effort-1.png differ
diff --git a/docs/articles/trait_model_files/figure-html/plot_trait_fmort-1.png b/docs/articles/trait_model_files/figure-html/plot_trait_fmort-1.png
index 0d3808ab9..710d7ecc2 100644
Binary files a/docs/articles/trait_model_files/figure-html/plot_trait_fmort-1.png and b/docs/articles/trait_model_files/figure-html/plot_trait_fmort-1.png differ
diff --git a/docs/articles/working_with_git.html b/docs/articles/working_with_git.html
index de5be449b..ec56bf6cd 100644
--- a/docs/articles/working_with_git.html
+++ b/docs/articles/working_with_git.html
@@ -17,7 +17,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
 <link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
 <script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet">
 <link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet">
@@ -31,7 +31,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -54,13 +54,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -73,6 +81,7 @@
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
       </ul>
 <ul class="navbar-nav">
+<li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
 <li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json">
 </form></li>
@@ -142,7 +151,9 @@ <h2 id="creating-a-branch">Creating a branch<a class="anchor" aria-label="anchor
 branch on the “Switch branch” dropdown in RStudio Git panel and then
 click the button to the left of that dropdown.
 <center>
-<img src="images/new_branch_button.png" style="width:30.0%">
+<div class="float">
+<img src="images/new_branch_button.png" style="width:30.0%" alt="New branch button"><div class="figcaption">New branch button</div>
+</div>
 </center>
 <p>In the dialog box enter the name for your new branch: “add_my_info”.
 Leave the remote as “origin” and make sure the “Sync branch with remote”
@@ -164,7 +175,9 @@ <h2 id="editing-a-file">Editing a file<a class="anchor" aria-label="anchor" href
 will be displayed when you hit the right-most icon on the editor pane
 toolbar.
 <center>
-<img src="images/outline.png" style="width:30.0%">
+<div class="float">
+<img src="images/outline.png" style="width:30.0%" alt="Markdown outline in RStudio"><div class="figcaption">Markdown outline in RStudio</div>
+</div>
 </center>
 <p>You will find the subheading “People with a mizer fork” towards the
 bottom of the outline. Clicking on it will move to the corresponding
@@ -187,11 +200,15 @@ <h2 id="committing-your-changes">Committing your changes<a class="anchor" aria-l
 yet committed it to your local repository. To do that you click on the
 “Commit” button on the toolbar in the “Git” pane in RStudio:
 <center>
-<img src="images/commit_button.png" style="width:40.0%">
+<div class="float">
+<img src="images/commit_button.png" style="width:40.0%" alt="Commit button in Git tab"><div class="figcaption">Commit button in Git tab</div>
+</div>
 </center>
 This will pop up a screen like the following:
 <center>
-<img src="images/commit.png" style="width:70.0%">
+<div class="float">
+<img src="images/commit.png" style="width:70.0%" alt="Commit dialog box"><div class="figcaption">Commit dialog box</div>
+</div>
 </center>
 <p>The blue M to the left of the file vignettes/developer_vignette.Rmd
 indicates that this file has been modified on your hard disc. The files
@@ -223,7 +240,9 @@ <h2 id="pushing-and-pulling">Pushing and pulling<a class="anchor" aria-label="an
 GitHub. If you go to the home page of your GitHub repository you will
 see a comment that you made a commit a little while ago:
 <center>
-<img src="images/recently_pushed.png" style="width:80.0%">
+<div class="float">
+<img src="images/recently_pushed.png" style="width:80.0%" alt="Recently pushed branches on GitHub"><div class="figcaption">Recently pushed branches on GitHub</div>
+</div>
 </center>
 <p>It may be that you have several computers on which you work an you
 can have a local repository on every one of them. In that scenario, it
diff --git a/docs/authors.html b/docs/authors.html
index fbd33a4e0..15746bd0f 100644
--- a/docs/authors.html
+++ b/docs/authors.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="lightswitch.js"></script><script src="deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="deps/headroom-0.11.0/headroom.min.js"></script><script src="deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="deps/search-1.0.0/fuse.min.js"></script><script src="deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="Authors and Citation"><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
+</script><script src="lightswitch.js"></script><script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="deps/headroom-0.11.0/headroom.min.js"></script><script src="deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="deps/search-1.0.0/fuse.min.js"></script><script src="deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="Authors and Citation"><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
 
 
@@ -13,7 +13,7 @@
 
     <a class="navbar-brand me-2" href="index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -34,13 +34,21 @@
     <li><a class="dropdown-item" href="articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -50,7 +58,8 @@
   </ul></li>
 <li class="nav-item"><a class="nav-link" href="reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -100,15 +109,15 @@ <h2>Authors</h2>
       <h2 id="citation">Citation</h2>
       <p><small class="dont-index">Source: <a href="https://github.com/sizespectrum/mizer/blob/HEAD/DESCRIPTION" class="external-link"><code>DESCRIPTION</code></a></small></p>
 
-      <p>Delius G, Scott F, Blanchard J, Andersen K (2025).
+      <p>Delius G, Scott F, Blanchard J, Andersen K (2026).
 <em>mizer: Dynamic Multi-Species Size Spectrum Modelling</em>.
-R package version 2.5.4, <a href="https://sizespectrum.org/mizer/">https://sizespectrum.org/mizer/</a>.
+R package version 2.5.4.9125, <a href="https://sizespectrum.org/mizer/">https://sizespectrum.org/mizer/</a>.
 </p>
       <pre>@Manual{,
   title = {mizer: Dynamic Multi-Species Size Spectrum Modelling},
   author = {Gustav Delius and Finlay Scott and Julia Blanchard and Ken Andersen},
-  year = {2025},
-  note = {R package version 2.5.4},
+  year = {2026},
+  note = {R package version 2.5.4.9125},
   url = {https://sizespectrum.org/mizer/},
 }</pre>
     </div>
diff --git a/docs/copilot-instructions.html b/docs/copilot-instructions.html
deleted file mode 100644
index 361c1b8b1..000000000
--- a/docs/copilot-instructions.html
+++ /dev/null
@@ -1,304 +0,0 @@
-<!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en-GB"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Copilot Instructions for mizer • mizer</title><!-- favicons --><link rel="icon" type="image/png" sizes="96x96" href="favicon-96x96.png"><link rel="icon" type="”image/svg+xml”" href="favicon.svg"><link rel="apple-touch-icon" sizes="180x180" href="apple-touch-icon.png"><link rel="icon" sizes="any" href="favicon.ico"><link rel="manifest" href="site.webmanifest"><!-- mathjax math --><script src="https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/tex-mml-chtml.js" integrity="sha256-MASABpB4tYktI2Oitl4t+78w/lyA+D7b/s9GEP0JOGI=" crossorigin="anonymous"></script><script>
-  window.MathJax = {
-    chtml: {
-      fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
-    }
-  };
-</script><script src="lightswitch.js"></script><script src="deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="deps/headroom-0.11.0/headroom.min.js"></script><script src="deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="deps/search-1.0.0/fuse.min.js"></script><script src="deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="Copilot Instructions for mizer"><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
-    <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-
-
-    <nav class="navbar navbar-expand-lg fixed-top " aria-label="Site navigation"><div class="container">
-
-    <a class="navbar-brand me-2" href="index.html">mizer</a>
-
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
-
-
-    <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
-      <span class="navbar-toggler-icon"></span>
-    </button>
-
-    <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="articles/mizer.html">Get started</a></li>
-<li class="nav-item"><a class="external-link nav-link" href="https://mizer.course.sizespectrum.org">Course</a></li>
-<li class="nav-item dropdown">
-  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
-  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="articles/model_description.html">The General Mizer Size-spectrum Model</a></li>
-    <li><hr class="dropdown-divider"></li>
-    <li><h6 class="dropdown-header" data-toc-skip>Tutorials</h6></li>
-    <li><a class="dropdown-item" href="articles/single_species_size-spectrum_dynamics.html">Single-species size-spectrum dynamics</a></li>
-    <li><a class="dropdown-item" href="articles/community_model.html">The Community Model</a></li>
-    <li><a class="dropdown-item" href="articles/trait_model.html">The Trait-Based Model</a></li>
-    <li><a class="dropdown-item" href="articles/multispecies_model.html">The Multi Species Model</a></li>
-    <li><a class="dropdown-item" href="articles/running_a_simulation.html">Running a Simulation</a></li>
-    <li><a class="dropdown-item" href="articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
-    <li><a class="dropdown-item" href="articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
-    <li><a class="dropdown-item" href="articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
-    <li><hr class="dropdown-divider"></li>
-    <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
-    <li><a class="dropdown-item" href="articles/publications.html">Publications</a></li>
-    <li><hr class="dropdown-divider"></li>
-    <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
-    <li><a class="dropdown-item" href="articles/developer_vignette.html">Developer Guide</a></li>
-    <li><a class="dropdown-item" href="articles/working_with_git.html">Working with git and GitHub</a></li>
-    <li><a class="dropdown-item" href="articles/developer_FAQ.html">Developer FAQ</a></li>
-    <li><a class="dropdown-item" href="articles/editing_website.html">Editing the Mizer Website</a></li>
-    <li><hr class="dropdown-divider"></li>
-    <li><a class="dropdown-item" href="articles/index.html">More articles...</a></li>
-  </ul></li>
-<li class="nav-item"><a class="nav-link" href="reference/index.html">Reference</a></li>
-<li class="nav-item"><a class="nav-link" href="news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
- <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="search.json"></form></li>
-<li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
-<li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
-<li class="nav-item"><a class="external-link nav-link" href="https://github.com/sizespectrum/mizer/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
-<li class="nav-item dropdown">
-  <button class="nav-link dropdown-toggle" type="button" id="dropdown-lightswitch" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true" aria-label="Light switch"><span class="fa fa-sun"></span></button>
-  <ul class="dropdown-menu dropdown-menu-end" aria-labelledby="dropdown-lightswitch"><li><button class="dropdown-item" data-bs-theme-value="light"><span class="fa fa-sun"></span> Light</button></li>
-    <li><button class="dropdown-item" data-bs-theme-value="dark"><span class="fa fa-moon"></span> Dark</button></li>
-    <li><button class="dropdown-item" data-bs-theme-value="auto"><span class="fa fa-adjust"></span> Auto</button></li>
-  </ul></li>
-      </ul></div>
-
-
-  </div>
-</nav><div class="container template-title-body">
-<div class="row">
-  <main id="main" class="col-md-9"><div class="page-header">
-      <img src="logo.png" class="logo" alt=""><h1>Copilot Instructions for mizer</h1>
-      <small class="dont-index">Source: <a href="https://github.com/sizespectrum/mizer/blob/HEAD/.github/copilot-instructions.md" class="external-link"><code>.github/copilot-instructions.md</code></a></small>
-    </div>
-
-<div id="copilot-instructions-for-mizer" class="section level1">
-
-<div class="section level2">
-<h2 id="project-overview">Project Overview<a class="anchor" aria-label="anchor" href="#project-overview"></a></h2>
-<p>mizer is an R package for dynamic multi-species size-spectrum modeling of fish communities. It provides a framework for modeling marine ecosystems subject to fishing, tracking individual fish growth through several orders of magnitude from egg size to maximum size, and correctly capturing ontogenetic diet shifts.</p>
-</div>
-<div class="section level2">
-<h2 id="package-structure">Package Structure<a class="anchor" aria-label="anchor" href="#package-structure"></a></h2>
-<p>This is an R package following standard CRAN conventions:</p>
-<ul><li>
-<code>R/</code> - R source code files</li>
-<li>
-<code>src/</code> - C++ source code (Rcpp integration)</li>
-<li>
-<code>man/</code> - Documentation files (auto-generated by roxygen2)</li>
-<li>
-<code>tests/testthat/</code> - Unit tests using the testthat framework</li>
-<li>
-<code>vignettes/</code> - Long-form documentation and tutorials</li>
-<li>
-<code>data/</code> - Example datasets</li>
-<li>
-<code>inst/</code> - Additional package files</li>
-<li>
-<code>DESCRIPTION</code> - Package metadata and dependencies</li>
-<li>
-<code>NAMESPACE</code> - Package exports (auto-generated by roxygen2)</li>
-</ul></div>
-<div class="section level2">
-<h2 id="code-style-and-conventions">Code Style and Conventions<a class="anchor" aria-label="anchor" href="#code-style-and-conventions"></a></h2>
-<div class="section level3">
-<h3 id="r-code-style">R Code Style<a class="anchor" aria-label="anchor" href="#r-code-style"></a></h3>
-<ul><li>
-<strong>Indentation</strong>: Use 4 spaces (not tabs)</li>
-<li>
-<strong>Naming conventions</strong>:
-<ul><li>Functions and variables: Use camelCase or snake_case</li>
-<li>Classes: Use PascalCase (e.g., <code>MizerParams</code>, <code>MizerSim</code>)</li>
-</ul></li>
-<li>
-<strong>Line length</strong>: Keep lines reasonably short (no hard limit, but aim for readability)</li>
-<li><strong>No trailing whitespace</strong></li>
-<li>
-<strong>Documentation</strong>: All exported functions must have roxygen2 documentation</li>
-</ul></div>
-<div class="section level3">
-<h3 id="linting">Linting<a class="anchor" aria-label="anchor" href="#linting"></a></h3>
-<p>The project uses <code>lintr</code> with custom configuration (see <code>.lintr</code> file): - 4-space indentation - Allows both camelCase and snake_case for object names - Commented code and trailing whitespace are allowed</p>
-<p>Run linting with:</p>
-<div class="sourceCode" id="cb1"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span><span class="fu">lintr</span><span class="fu">::</span><span class="fu"><a href="https://lintr.r-lib.org/reference/lint.html" class="external-link">lint_package</a></span><span class="op">(</span><span class="op">)</span></span></code></pre></div>
-</div>
-</div>
-<div class="section level2">
-<h2 id="documentation">Documentation<a class="anchor" aria-label="anchor" href="#documentation"></a></h2>
-<ul><li>Use <strong>roxygen2</strong> for all function documentation</li>
-<li>Document all parameters with <code>@param</code>
-</li>
-<li>Document return values with <code>@return</code>
-</li>
-<li>Include examples with <code>@examples</code> where appropriate</li>
-<li>Export functions explicitly with <code>@export</code>
-</li>
-<li>Cross-reference related functions with <code>@seealso</code>
-</li>
-<li>Use Markdown formatting in documentation (enabled in DESCRIPTION)</li>
-</ul><p>Example roxygen2 header:</p>
-<div class="sourceCode" id="cb2"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span><span class="co">#' Brief description of the function</span></span>
-<span><span class="co">#'</span></span>
-<span><span class="co">#' Detailed description of what the function does.</span></span>
-<span><span class="co">#'</span></span>
-<span><span class="co">#' @param param1 Description of param1</span></span>
-<span><span class="co">#' @param param2 Description of param2</span></span>
-<span><span class="co">#' @return Description of what is returned</span></span>
-<span><span class="co">#' @export</span></span>
-<span><span class="co">#' @examples</span></span>
-<span><span class="co">#' # Example usage</span></span>
-<span><span class="co">#' result &lt;- myFunction(param1, param2)</span></span></code></pre></div>
-</div>
-<div class="section level2">
-<h2 id="testing">Testing<a class="anchor" aria-label="anchor" href="#testing"></a></h2>
-<ul><li>Use <strong>testthat</strong> (edition 3) for all tests</li>
-<li>Test files in <code>tests/testthat/</code> should be named <code>test-*.R</code>
-</li>
-<li>Each source file should have a corresponding test file</li>
-<li>Use descriptive test names with <code>test_that("description", { ... })</code>
-</li>
-<li>Use snapshot testing for complex outputs where appropriate</li>
-<li>Use <code>expect_doppelganger()</code> to test plots with the vdiffr package</li>
-<li>Run tests with <code><a href="https://testthat.r-lib.org/reference/test_package.html" class="external-link">testthat::test_local()</a></code> or <code><a href="https://devtools.r-lib.org/reference/test.html" class="external-link">devtools::test()</a></code>
-</li>
-</ul><p>Example test structure:</p>
-<div class="sourceCode" id="cb3"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span><span class="fu">test_that</span><span class="op">(</span><span class="st">"function handles basic input correctly"</span>, <span class="op">{</span></span>
-<span>    <span class="va">result</span> <span class="op">&lt;-</span> <span class="fu">myFunction</span><span class="op">(</span><span class="va">input</span><span class="op">)</span></span>
-<span>    <span class="fu">expect_equal</span><span class="op">(</span><span class="va">result</span><span class="op">$</span><span class="va">value</span>, <span class="va">expected_value</span><span class="op">)</span></span>
-<span>    <span class="fu">expect_true</span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/numeric.html" class="external-link">is.numeric</a></span><span class="op">(</span><span class="va">result</span><span class="op">$</span><span class="va">number</span><span class="op">)</span><span class="op">)</span></span>
-<span><span class="op">}</span><span class="op">)</span></span></code></pre></div>
-</div>
-<div class="section level2">
-<h2 id="building-and-checking">Building and Checking<a class="anchor" aria-label="anchor" href="#building-and-checking"></a></h2>
-<div class="section level3">
-<h3 id="local-development">Local Development<a class="anchor" aria-label="anchor" href="#local-development"></a></h3>
-<div class="sourceCode" id="cb4"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span><span class="co"># Load package for development</span></span>
-<span><span class="fu">devtools</span><span class="fu">::</span><span class="fu"><a href="https://devtools.r-lib.org/reference/load_all.html" class="external-link">load_all</a></span><span class="op">(</span><span class="op">)</span></span>
-<span></span>
-<span><span class="co"># Run tests</span></span>
-<span><span class="fu">devtools</span><span class="fu">::</span><span class="fu"><a href="https://devtools.r-lib.org/reference/test.html" class="external-link">test</a></span><span class="op">(</span><span class="op">)</span></span>
-<span></span>
-<span><span class="co"># Check package</span></span>
-<span><span class="fu">devtools</span><span class="fu">::</span><span class="fu"><a href="https://devtools.r-lib.org/reference/check.html" class="external-link">check</a></span><span class="op">(</span><span class="op">)</span></span>
-<span></span>
-<span><span class="co"># Build documentation</span></span>
-<span><span class="fu">devtools</span><span class="fu">::</span><span class="fu"><a href="https://devtools.r-lib.org/reference/document.html" class="external-link">document</a></span><span class="op">(</span><span class="op">)</span></span></code></pre></div>
-</div>
-<div class="section level3">
-<h3 id="r-cmd-check">R CMD check<a class="anchor" aria-label="anchor" href="#r-cmd-check"></a></h3>
-<p>The package must pass <code>R CMD check</code> without errors or warnings:</p>
-<div class="sourceCode" id="cb5"><pre class="sourceCode bash"><code class="sourceCode bash"><span id="cb5-1"><a href="#cb5-1" tabindex="-1"></a><span class="ex">R</span> CMD build .</span>
-<span id="cb5-2"><a href="#cb5-2" tabindex="-1"></a><span class="ex">R</span> CMD check mizer_<span class="pp">*</span>.tar.gz</span></code></pre></div>
-</div>
-</div>
-<div class="section level2">
-<h2 id="key-classes">Key Classes<a class="anchor" aria-label="anchor" href="#key-classes"></a></h2>
-<div class="section level3">
-<h3 id="mizerparams">MizerParams<a class="anchor" aria-label="anchor" href="#mizerparams"></a></h3>
-<p>The main parameter class containing all model configuration: - Species parameters - Interaction matrices - Size bins and grids - Rate functions - Gear selectivity</p>
-</div>
-<div class="section level3">
-<h3 id="mizersim">MizerSim<a class="anchor" aria-label="anchor" href="#mizersim"></a></h3>
-<p>Simulation results class containing: - Time series of size spectra - Fishing effort history - Model parameters used</p>
-</div>
-</div>
-<div class="section level2">
-<h2 id="important-concepts">Important Concepts<a class="anchor" aria-label="anchor" href="#important-concepts"></a></h2>
-<div class="section level3">
-<h3 id="size-spectrum-model">Size Spectrum Model<a class="anchor" aria-label="anchor" href="#size-spectrum-model"></a></h3>
-<ul><li>Models track fish populations across size classes</li>
-<li>Individual growth is driven by consumption</li>
-<li>Mortality includes predation, fishing, and background mortality</li>
-<li>Uses allometric scaling relationships</li>
-</ul></div>
-<div class="section level3">
-<h3 id="rate-functions">Rate Functions<a class="anchor" aria-label="anchor" href="#rate-functions"></a></h3>
-<p>Core physiological rates that can be customized: - <code>encounter()</code> - predation encounter rate - <code>feeding_level()</code> - feeding satiation - <code><a href="reference/getPredRate.html">getPredRate()</a></code> - predation mortality rate - <code><a href="reference/getFMort.html">getFMort()</a></code> - fishing mortality - <code><a href="reference/getRDI.html">getRDI()</a></code> - reproduction (density-independent) - <code><a href="reference/getRDD.html">getRDD()</a></code> - reproduction (density-dependent)</p>
-</div>
-</div>
-<div class="section level2">
-<h2 id="dependencies">Dependencies<a class="anchor" aria-label="anchor" href="#dependencies"></a></h2>
-<p>Key dependencies to be aware of: - <strong>Rcpp</strong> - C++ integration for performance-critical code - <strong>deSolve</strong> - Differential equation solver - <strong>ggplot2</strong> - Plotting (version &gt;= 3.4.0 required) - <strong>dplyr</strong> - Data manipulation - <strong>assertthat</strong> - Input validation</p>
-</div>
-<div class="section level2">
-<h2 id="contributing-guidelines">Contributing Guidelines<a class="anchor" aria-label="anchor" href="#contributing-guidelines"></a></h2>
-<p>Before submitting changes: 1. Ensure all tests pass: <code><a href="https://devtools.r-lib.org/reference/test.html" class="external-link">devtools::test()</a></code> 2. Run R CMD check: <code><a href="https://devtools.r-lib.org/reference/check.html" class="external-link">devtools::check()</a></code> 3. Update documentation: <code><a href="https://devtools.r-lib.org/reference/document.html" class="external-link">devtools::document()</a></code> 4. Run linting: <code><a href="https://lintr.r-lib.org/reference/lint.html" class="external-link">lintr::lint_package()</a></code> 5. Update NEWS.md if adding features or fixing bugs 6. Consider adding examples to the mizerExamples package for new features</p>
-</div>
-<div class="section level2">
-<h2 id="common-tasks">Common Tasks<a class="anchor" aria-label="anchor" href="#common-tasks"></a></h2>
-<div class="section level3">
-<h3 id="adding-a-new-function">Adding a new function<a class="anchor" aria-label="anchor" href="#adding-a-new-function"></a></h3>
-<ol style="list-style-type: decimal"><li>Create the function in the appropriate R file</li>
-<li>Add roxygen2 documentation</li>
-<li>Export if needed with <code>@export</code>
-</li>
-<li>Add unit tests in corresponding test file</li>
-<li>Run <code><a href="https://devtools.r-lib.org/reference/document.html" class="external-link">devtools::document()</a></code> to update NAMESPACE and man pages</li>
-<li>Run <code><a href="https://devtools.r-lib.org/reference/check.html" class="external-link">devtools::check()</a></code> to verify</li>
-</ol></div>
-<div class="section level3">
-<h3 id="modifying-existing-functions">Modifying existing functions<a class="anchor" aria-label="anchor" href="#modifying-existing-functions"></a></h3>
-<ol style="list-style-type: decimal"><li>Update the function code</li>
-<li>Update roxygen2 documentation if needed</li>
-<li>Ensure existing tests still pass or update them</li>
-<li>Add new tests for new behavior</li>
-<li>Consider backward compatibility</li>
-</ol></div>
-<div class="section level3">
-<h3 id="working-with-rcpp-code">Working with Rcpp code<a class="anchor" aria-label="anchor" href="#working-with-rcpp-code"></a></h3>
-<ul><li>C++ source files are in <code>src/</code>
-</li>
-<li>Use <code><a href="https://rdrr.io/pkg/Rcpp/man/sourceCpp.html" class="external-link">Rcpp::sourceCpp()</a></code> for quick testing</li>
-<li>RcppExports.R and RcppExports.cpp are auto-generated</li>
-<li>Rebuild package after C++ changes: <code><a href="https://pkgbuild.r-lib.org/reference/clean_dll.html" class="external-link">devtools::clean_dll(); devtools::load_all()</a></code>
-</li>
-</ul></div>
-</div>
-<div class="section level2">
-<h2 id="references">References<a class="anchor" aria-label="anchor" href="#references"></a></h2>
-<ul><li>Package website: <a href="https://sizespectrum.org/mizer/" class="uri">https://sizespectrum.org/mizer/</a>
-</li>
-<li>GitHub repository: <a href="https://github.com/sizespectrum/mizer" class="external-link uri">https://github.com/sizespectrum/mizer</a>
-</li>
-<li>Issue tracker: <a href="https://github.com/sizespectrum/mizer/issues" class="external-link uri">https://github.com/sizespectrum/mizer/issues</a>
-</li>
-<li>Theoretical foundation: “Fish Ecology, Evolution, and Exploitation” by Ken Andersen</li>
-</ul></div>
-<div class="section level2">
-<h2 id="related-packages">Related Packages<a class="anchor" aria-label="anchor" href="#related-packages"></a></h2>
-<ul><li>
-<strong>mizerExperimental</strong> - Experimental features and community contributions</li>
-<li>
-<strong>mizerExamples</strong> - Example models and use cases</li>
-</ul></div>
-<div class="section level2">
-<h2 id="note-on-british-english">Note on British English<a class="anchor" aria-label="anchor" href="#note-on-british-english"></a></h2>
-<p>The package uses British English spelling (en-GB) as specified in DESCRIPTION. Use British spellings in documentation and comments (e.g., “colour” not “color”, “behaviour” not “behavior”).</p>
-</div>
-</div>
-
-  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
-    </nav></aside></div>
-
-
-    <footer><div class="pkgdown-footer-left">
-  <p>Developed by <a href="https://www.york.ac.uk/maths/staff/gustav-delius/" class="external-link">Gustav Delius</a>, Finlay Scott, <a href="http://www.utas.edu.au/profiles/staff/imas/julia-blanchard" class="external-link">Julia Blanchard</a>, <a href="https://ken.haste.dk/" class="external-link">Ken Andersen</a>.</p>
-</div>
-
-<div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
-</div>
-
-    </footer></div>
-
-
-
-
-
-  </body></html>
-
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u.CommandMap(c.NEW_OPS,{},{}),t.append(a.Configuration.local({handler:{macro:[c.NEW_OPS]},priority:-1}))},config:function(t,e){e.parseOptions.options.multlineWidth&&(e.parseOptions.options.ams.multlineWidth=e.parseOptions.options.multlineWidth),delete e.parseOptions.options.multlineWidth},options:{multlineWidth:"",ams:{multlineWidth:"100%",multlineIndent:"1em"}}})},2790:function(t,e,r){var n,o,i=this&&this.__extends||(n=function(t,e){return(n=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])})(t,e)},function(t,e){if("function"!=typeof e&&null!==e)throw new TypeError("Class extends value "+String(e)+" is not a constructor or null");function r(){this.constructor=t}n(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)}),a=this&&this.__assign||function(){return(a=Object.assign||function(t){for(var e,r=1,n=arguments.length;r<n;r++)for(var o in 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t.factory.configuration.tags.start("multline",!0,e[0]),t}e.MultlineItem=s;f=l.EqnArrayItem,i(m,f),Object.defineProperty(m.prototype,"kind",{get:function(){return"flalign"},enumerable:!1,configurable:!0}),m.prototype.EndEntry=function(){f.prototype.EndEntry.call(this);var t=this.getProperty("xalignat");if(t&&this.row.length>t)throw new p.default("XalignOverflow","Extra %1 in row of %2","&",this.name)},m.prototype.EndRow=function(){for(var t,e=this.row,r=this.getProperty("xalignat");e.length<r;)e.push(this.create("node","mtd"));for(this.row=[],this.padded&&this.row.push(this.create("node","mtd"));t=e.shift();)this.row.push(t),(t=e.shift())&&this.row.push(t),(e.length||this.padded)&&this.row.push(this.create("node","mtd"));this.row.length>this.maxrow&&(this.maxrow=this.row.length),f.prototype.EndRow.call(this);var n,o=this.table[this.table.length-1];this.getProperty("zeroWidthLabel")&&o.isKind("mlabeledtr")&&(o=u.default.getChildren(o)[0],n=this.factory.configuration.options.tagSide,n=a({width:0},"right"===n?{lspace:"-1width"}:{}),n=this.create("node","mpadded",u.default.getChildren(o),n),o.setChildren([n]))},m.prototype.EndTable=function(){f.prototype.EndTable.call(this),this.center&&this.maxrow<=2&&(delete this.arraydef.width,delete this.global.indentalign)};var f,r=m;function m(t,e,r,n,o){t=f.call(this,t)||this;return t.name=e,t.numbered=r,t.padded=n,t.center=o,t.factory.configuration.tags.start(e,r,r),t}e.FlalignItem=r},7379:function(t,e,r){var n=this&&this.__createBinding||(Object.create?function(t,e,r,n){void 0===n&&(n=r);var o=Object.getOwnPropertyDescriptor(e,r);o&&!("get"in o?!e.__esModule:o.writable||o.configurable)||(o={enumerable:!0,get:function(){return e[r]}}),Object.defineProperty(t,n,o)}:function(t,e,r,n){t[n=void 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t=this.create("node","mtd",this.nodes);this.hfill.length&&(0===this.hfill[0]&&c.default.setAttribute(t,"columnalign","right"),this.hfill[this.hfill.length-1]===this.Size()&&c.default.setAttribute(t,"columnalign",c.default.getAttribute(t,"columnalign")?"center":"left")),this.row.push(t),this.Clear(),this.hfill=[]},P.prototype.EndRow=function(){var t=this.getProperty("isNumbered")&&3===this.row.length?(this.row.unshift(this.row.pop()),this.create("node","mlabeledtr",this.row)):this.create("node","mtr",this.row);this.table.push(t),this.row=[]},P.prototype.EndTable=function(){(this.Size()||this.row.length)&&(this.EndEntry(),this.EndRow()),this.checkLines()},P.prototype.checkLines=function(){var t;if(this.arraydef.rowlines&&((t=this.arraydef.rowlines.split(/ /)).length===this.table.length?(this.frame.push("bottom"),t.pop(),this.arraydef.rowlines=t.join(" ")):t.length<this.table.length-1&&(this.arraydef.rowlines+=" none")),this.getProperty("rowspacing")){for(var e=this.arraydef.rowspacing.split(/ /);e.length<this.table.length;)e.push(this.getProperty("rowspacing")+"em");this.arraydef.rowspacing=e.join(" ")}},P.prototype.addRowSpacing=function(t){if(this.arraydef.rowspacing){var e,r=this.arraydef.rowspacing.split(/ /);this.getProperty("rowspacing")||(e=l.default.dimen2em(r[0]),this.setProperty("rowspacing",e));for(var n=this.getProperty("rowspacing");r.length<this.table.length;)r.push(l.default.Em(n));r[this.table.length-1]=l.default.Em(Math.max(0,n+l.default.dimen2em(t))),this.arraydef.rowspacing=r.join(" ")}};var I,i=P;function P(){var t=null!==I&&I.apply(this,arguments)||this;return t.table=[],t.row=[],t.frame=[],t.hfill=[],t.arraydef={},t.dashed=!1,t}t.ArrayItem=i;n(R,it=i),Object.defineProperty(R.prototype,"kind",{get:function(){return"eqnarray"},enumerable:!1,configurable:!0}),R.prototype.EndEntry=function(){this.row.length&&l.default.fixInitialMO(this.factory.configuration,this.nodes);var t=this.create("node","mtd",this.nodes);this.row.push(t),this.Clear()},R.prototype.EndRow=function(){this.row.length>this.maxrow&&(this.maxrow=this.row.length);var t="mtr",e=this.factory.configuration.tags.getTag(),e=(e&&(this.row=[e].concat(this.row),t="mlabeledtr"),this.factory.configuration.tags.clearTag(),this.create("node",t,this.row));this.table.push(e),this.row=[]},R.prototype.EndTable=function(){it.prototype.EndTable.call(this),this.factory.configuration.tags.end(),this.extendArray("columnalign",this.maxrow),this.extendArray("columnwidth",this.maxrow),this.extendArray("columnspacing",this.maxrow-1)},R.prototype.extendArray=function(t,e){if(this.arraydef[t]){var r=this.arraydef[t].split(/ /),n=D([],o(r),!1);if(1<n.length){for(;n.length<e;)n.push.apply(n,D([],o(r),!1));this.arraydef[t]=n.slice(0,e).join(" ")}}};var it,e=R;function R(t){for(var e=[],r=1;r<arguments.length;r++)e[r-1]=arguments[r];t=it.call(this,t)||this;return t.maxrow=0,t.factory.configuration.tags.start(e[0],e[2],e[1]),t}t.EqnArrayItem=e;at=u.BaseItem,n(k,at),Object.defineProperty(k.prototype,"kind",{get:function(){return"equation"},enumerable:!1,configurable:!0}),Object.defineProperty(k.prototype,"isOpen",{get:function(){return!0},enumerable:!1,configurable:!0}),k.prototype.checkItem=function(t){var e,r;if(t.isKind("end"))return e=this.toMml(),r=this.factory.configuration.tags.getTag(),this.factory.configuration.tags.end(),[[r?this.factory.configuration.tags.enTag(e,r):e,t],!0];if(t.isKind("stop"))throw new s.default("EnvMissingEnd","Missing \\end{%1}",this.getName());return at.prototype.checkItem.call(this,t)};var at,i=k;function k(t){for(var e=[],r=1;r<arguments.length;r++)e[r-1]=arguments[r];t=at.call(this,t)||this;return t.factory.configuration.tags.start("equation",!0,e[0]),t}t.EquationItem=i},1267:function(t,e,r){var n=this&&this.__createBinding||(Object.create?function(t,e,r,n){void 0===n&&(n=r);var o=Object.getOwnPropertyDescriptor(e,r);o&&!("get"in o?!e.__esModule:o.writable||o.configurable)||(o={enumerable:!0,get:function(){return e[r]}}),Object.defineProperty(t,n,o)}:function(t,e,r,n){t[n=void 0===n?r:n]=e[r]}),o=this&&this.__setModuleDefault||(Object.create?function(t,e){Object.defineProperty(t,"default",{enumerable:!0,value:e})}:function(t,e){t.default=e}),i=this&&this.__importStar||function(t){if(t&&t.__esModule)return t;var e={};if(null!=t)for(var r in t)"default"!==r&&Object.prototype.hasOwnProperty.call(t,r)&&n(e,t,r);return o(e,t),e},a=this&&this.__importDefault||function(t){return t&&t.__esModule?t:{default:t}},e=(Object.defineProperty(e,"__esModule",{value:!0}),i(r(9140))),i=r(8317),s=a(r(7693)),l=a(r(5450)),a=a(r(1130)),c=r(9007),r=r(6010);new e.RegExpMap("letter",l.default.variable,/[a-z]/i),new e.RegExpMap("digit",l.default.digit,/[0-9.,]/),new e.RegExpMap("command",l.default.controlSequence,/^\\/),new e.MacroMap("special",{"{":"Open","}":"Close","~":"Tilde","^":"Superscript",_:"Subscript"," ":"Space","\t":"Space","\r":"Space","\n":"Space","'":"Prime","%":"Comment","&":"Entry","#":"Hash"," ":"Space","’":"Prime"},s.default),new e.CharacterMap("mathchar0mi",l.default.mathchar0mi,{alpha:"α",beta:"β",gamma:"γ",delta:"δ",epsilon:"ϵ",zeta:"ζ",eta:"η",theta:"θ",iota:"ι",kappa:"κ",lambda:"λ",mu:"μ",nu:"ν",xi:"ξ",omicron:"ο",pi:"π",rho:"ρ",sigma:"σ",tau:"τ",upsilon:"υ",phi:"ϕ",chi:"χ",psi:"ψ",omega:"ω",varepsilon:"ε",vartheta:"ϑ",varpi:"ϖ",varrho:"ϱ",varsigma:"ς",varphi:"φ",S:["§",{mathvariant:i.TexConstant.Variant.NORMAL}],aleph:["ℵ",{mathvariant:i.TexConstant.Variant.NORMAL}],hbar:["ℏ",{variantForm:!0}],imath:"ı",jmath:"ȷ",ell:"ℓ",wp:["℘",{mathvariant:i.TexConstant.Variant.NORMAL}],Re:["ℜ",{mathvariant:i.TexConstant.Variant.NORMAL}],Im:["ℑ",{mathvariant:i.TexConstant.Variant.NORMAL}],partial:["∂",{mathvariant:i.TexConstant.Variant.ITALIC}],infty:["∞",{mathvariant:i.TexConstant.Variant.NORMAL}],prime:["′",{variantForm:!0}],emptyset:["∅",{mathvariant:i.TexConstant.Variant.NORMAL}],nabla:["∇",{mathvariant:i.TexConstant.Variant.NORMAL}],top:["⊤",{mathvariant:i.TexConstant.Variant.NORMAL}],bot:["⊥",{mathvariant:i.TexConstant.Variant.NORMAL}],angle:["∠",{mathvariant:i.TexConstant.Variant.NORMAL}],triangle:["△",{mathvariant:i.TexConstant.Variant.NORMAL}],backslash:["∖",{mathvariant:i.TexConstant.Variant.NORMAL}],forall:["∀",{mathvariant:i.TexConstant.Variant.NORMAL}],exists:["∃",{mathvariant:i.TexConstant.Variant.NORMAL}],neg:["¬",{mathvariant:i.TexConstant.Variant.NORMAL}],lnot:["¬",{mathvariant:i.TexConstant.Variant.NORMAL}],flat:["♭",{mathvariant:i.TexConstant.Variant.NORMAL}],natural:["♮",{mathvariant:i.TexConstant.Variant.NORMAL}],sharp:["♯",{mathvariant:i.TexConstant.Variant.NORMAL}],clubsuit:["♣",{mathvariant:i.TexConstant.Variant.NORMAL}],diamondsuit:["♢",{mathvariant:i.TexConstant.Variant.NORMAL}],heartsuit:["♡",{mathvariant:i.TexConstant.Variant.NORMAL}],spadesuit:["♠",{mathvariant:i.TexConstant.Variant.NORMAL}]}),new e.CharacterMap("mathchar0mo",l.default.mathchar0mo,{surd:"√",coprod:["∐",{texClass:c.TEXCLASS.OP,movesupsub:!0}],bigvee:["⋁",{texClass:c.TEXCLASS.OP,movesupsub:!0}],bigwedge:["⋀",{texClass:c.TEXCLASS.OP,movesupsub:!0}],biguplus:["⨄",{texClass:c.TEXCLASS.OP,movesupsub:!0}],bigcap:["⋂",{texClass:c.TEXCLASS.OP,movesupsub:!0}],bigcup:["⋃",{texClass:c.TEXCLASS.OP,movesupsub:!0}],int:["∫",{texClass:c.TEXCLASS.OP}],intop:["∫",{texClass:c.TEXCLASS.OP,movesupsub:!0,movablelimits:!0}],iint:["∬",{texClass:c.TEXCLASS.OP}],iiint:["∭",{texClass:c.TEXCLASS.OP}],prod:["∏",{texClass:c.TEXCLASS.OP,movesupsub:!0}],sum:["∑",{texClass:c.TEXCLASS.OP,movesupsub:!0}],bigotimes:["⨂",{texClass:c.TEXCLASS.OP,movesupsub:!0}],bigoplus:["⨁",{texClass:c.TEXCLASS.OP,movesupsub:!0}],bigodot:["⨀",{texClass:c.TEXCLASS.OP,movesupsub:!0}],oint:["∮",{texClass:c.TEXCLASS.OP}],bigsqcup:["⨆",{texClass:c.TEXCLASS.OP,movesupsub:!0}],smallint:["∫",{largeop:!1}],triangleleft:"◃",triangleright:"▹",bigtriangleup:"△",bigtriangledown:"▽",wedge:"∧",land:"∧",vee:"∨",lor:"∨",cap:"∩",cup:"∪",ddagger:"‡",dagger:"†",sqcap:"⊓",sqcup:"⊔",uplus:"⊎",amalg:"⨿",diamond:"⋄",bullet:"∙",wr:"≀",div:"÷",divsymbol:"÷",odot:["⊙",{largeop:!1}],oslash:["⊘",{largeop:!1}],otimes:["⊗",{largeop:!1}],ominus:["⊖",{largeop:!1}],oplus:["⊕",{largeop:!1}],mp:"∓",pm:"±",circ:"∘",bigcirc:"◯",setminus:"∖",cdot:"⋅",ast:"∗",times:"×",star:"⋆",propto:"∝",sqsubseteq:"⊑",sqsupseteq:"⊒",parallel:"∥",mid:"∣",dashv:"⊣",vdash:"⊢",leq:"≤",le:"≤",geq:"≥",ge:"≥",lt:"<",gt:">",succ:"≻",prec:"≺",approx:"≈",succeq:"⪰",preceq:"⪯",supset:"⊃",subset:"⊂",supseteq:"⊇",subseteq:"⊆",in:"∈",ni:"∋",notin:"∉",owns:"∋",gg:"≫",ll:"≪",sim:"∼",simeq:"≃",perp:"⊥",equiv:"≡",asymp:"≍",smile:"⌣",frown:"⌢",ne:"≠",neq:"≠",cong:"≅",doteq:"≐",bowtie:"⋈",models:"⊨",notChar:"⧸",Leftrightarrow:"⇔",Leftarrow:"⇐",Rightarrow:"⇒",leftrightarrow:"↔",leftarrow:"←",gets:"←",rightarrow:"→",to:["→",{accent:!1}],mapsto:"↦",leftharpoonup:"↼",leftharpoondown:"↽",rightharpoonup:"⇀",rightharpoondown:"⇁",nearrow:"↗",searrow:"↘",nwarrow:"↖",swarrow:"↙",rightleftharpoons:"⇌",hookrightarrow:"↪",hookleftarrow:"↩",longleftarrow:"⟵",Longleftarrow:"⟸",longrightarrow:"⟶",Longrightarrow:"⟹",Longleftrightarrow:"⟺",longleftrightarrow:"⟷",longmapsto:"⟼",ldots:"…",cdots:"⋯",vdots:"⋮",ddots:"⋱",dotsc:"…",dotsb:"⋯",dotsm:"⋯",dotsi:"⋯",dotso:"…",ldotp:[".",{texClass:c.TEXCLASS.PUNCT}],cdotp:["⋅",{texClass:c.TEXCLASS.PUNCT}],colon:[":",{texClass:c.TEXCLASS.PUNCT}]}),new e.CharacterMap("mathchar7",l.default.mathchar7,{Gamma:"Γ",Delta:"Δ",Theta:"Θ",Lambda:"Λ",Xi:"Ξ",Pi:"Π",Sigma:"Σ",Upsilon:"Υ",Phi:"Φ",Psi:"Ψ",Omega:"Ω",_:"_","#":"#",$:"$","%":"%","&":"&",And:"&"}),new e.DelimiterMap("delimiter",l.default.delimiter,{"(":"(",")":")","[":"[","]":"]","<":"⟨",">":"⟩","\\lt":"⟨","\\gt":"⟩","/":"/","|":["|",{texClass:c.TEXCLASS.ORD}],".":"","\\\\":"\\","\\lmoustache":"⎰","\\rmoustache":"⎱","\\lgroup":"⟮","\\rgroup":"⟯","\\arrowvert":"⏐","\\Arrowvert":"‖","\\bracevert":"⎪","\\Vert":["‖",{texClass:c.TEXCLASS.ORD}],"\\|":["‖",{texClass:c.TEXCLASS.ORD}],"\\vert":["|",{texClass:c.TEXCLASS.ORD}],"\\uparrow":"↑","\\downarrow":"↓","\\updownarrow":"↕","\\Uparrow":"⇑","\\Downarrow":"⇓","\\Updownarrow":"⇕","\\backslash":"\\","\\rangle":"⟩","\\langle":"⟨","\\rbrace":"}","\\lbrace":"{","\\}":"}","\\{":"{","\\rceil":"⌉","\\lceil":"⌈","\\rfloor":"⌋","\\lfloor":"⌊","\\lbrack":"[","\\rbrack":"]"}),new 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r;_.loadingPromises.has(t)||(r=b.loader)&&(_.loading++,r=r.load(t).then(function(){_.loading--,_.loadingPromises.delete(t),e(),0===_.loading&&_._loadingPromise&&(_._loadingPromise=null,_._loadingOK())}).catch(function(t){_._loadingPromise?(_._loadingPromise=null,_._loadingFailed(t)):console.log(t)}),_.loadingPromises.set(t,r))},_.prototype.loadA11y=function(r){var n=this,o=!c.STATE.ENRICHED;this.loadComponent("a11y/"+r,function(){var t=b.startup,e=(i.mathjax.handlers.unregister(t.handler),t.handler=t.getHandler(),i.mathjax.handlers.register(t.handler),n.document);n.document=t.document=t.getDocument(),(n.document.menu=n).document.outputJax.reset(),n.transferMathList(e),n.document.processed=e.processed,_._loadingPromise||(n.document.outputJax.reset(),n.rerender("complexity"===r||o?c.STATE.COMPILED:c.STATE.TYPESET))})},_.prototype.transferMathList=function(t){var e,r,n=this.document.options.MathItem;try{for(var o=u(t.math),i=o.next();!i.done;i=o.next()){var a=i.value,s=new 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filter:progid:DXImageTransform.Microsoft.dropshadow(OffX=2, OffY=2, Color="gray", Positive="true"); /* IE */}',(o={})[u("MENU")]="{  position:absolute;  background-color:white;  color:black;  width:auto; padding:5px 0px;  border:1px solid #CCCCCC; margin:0; cursor:default;  font: menu; text-align:left; text-indent:0; text-transform:none;  line-height:normal; letter-spacing:normal; word-spacing:normal;  word-wrap:normal; white-space:nowrap; float:none; z-index:201;  border-radius: 5px;                     /* Opera 10.5 and IE9 */  -webkit-border-radius: 5px;             /* Safari and Chrome */  -moz-border-radius: 5px;                /* Firefox */  -khtml-border-radius: 5px;              /* Konqueror */  box-shadow:0px 10px 20px #808080;         /* Opera 10.5 and IE9 */  -webkit-box-shadow:0px 10px 20px #808080; /* Safari 3 & Chrome */  -moz-box-shadow:0px 10px 20px #808080;    /* Forefox 3.5 */  -khtml-box-shadow:0px 10px 20px #808080;  /* Konqueror */}",o[u("MENUITEM")]="{  padding: 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font-style:italic}",o[u("MENURULE")]="{  border-top: 1px solid #DDDDDD;  margin: 4px 3px;}",o[u("MENUDISABLED")]="{  color:GrayText}",o[u("MENUACTIVE")]="{  background-color: #606872;  color: white;}",o[u("MENUDISABLED")+":focus"]="{  background-color: #E8E8E8}",o[u("MENULABEL")+":focus"]="{  background-color: #E8E8E8}",o[u("CONTEXTMENU")+":focus"]="{  outline:none}",o[u("CONTEXTMENU")+" "+u("MENUITEM")+":focus"]="{  outline:none}",o[u("SELECTIONMENU")]="{  position:relative; float:left;  border-bottom: none; -webkit-box-shadow:none; -webkit-border-radius:0px; }",o[u("SELECTIONITEM")]="{  padding-right: 1em;}",o[u("SELECTION")]="{  right: 40%; width:50%; }",o[u("SELECTIONBOX")]="{  padding: 0em; max-height:20em; max-width: none;  background-color:#FFFFFF;}",o[u("SELECTIONDIVIDER")]="{  clear: both; border-top: 2px solid #000000;}",o[u("MENU")+" "+u("MENUCLOSE")]="{  top:-10px; left:-10px}",(i={})[u("MENUCLOSE")]='{  position:absolute;  cursor:pointer;  display:inline-block;  border:2px solid #AAA;  border-radius:18px;  -webkit-border-radius: 18px;             /* Safari and Chrome */  -moz-border-radius: 18px;                /* Firefox */  -khtml-border-radius: 18px;              /* Konqueror */  font-family: "Courier New", Courier;  font-size:24px;  color:#F0F0F0}',i[u("MENUCLOSE")+" span"]="{  display:block; background-color:#AAA; border:1.5px solid;  border-radius:18px;  -webkit-border-radius: 18px;             /* Safari and Chrome */  -moz-border-radius: 18px;                /* Firefox */  -khtml-border-radius: 18px;              /* Konqueror */  line-height:0;  padding:8px 0 6px     /* may need to be browser-specific */}",i[u("MENUCLOSE")+":hover"]="{  color:white!important;  border:2px solid #CCC!important}",i[u("MENUCLOSE")+":hover span"]="{  background-color:#CCC!important}",a=!(i[u("MENUCLOSE")+":hover:focus"]="{  outline:none}"),l=s=!1,r.addMenuStyles=function(t){s||(h(o,t),s=!0,p(t))},r.addInfoStyles=function(t){a||(h(n,t),a=!0,p(t))}},2165:function(t,e){function r(t){return"CtxtMenu_"+t}Object.defineProperty(e,"__esModule",{value:!0}),e.HtmlAttrs=e.HtmlClasses=void 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n,o,i=this&&this.__extends||(n=function(t,e){return(n=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)e.hasOwnProperty(r)&&(t[r]=e[r])})(t,e)},function(t,e){function r(){this.constructor=t}n(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)}),a=(Object.defineProperty(e,"__esModule",{value:!0}),e.Info=void 0,r(5179)),s=r(2165),r=(o=r(8372).AbstractPostable,i(l,o),l.prototype.attachMenu=function(t){this.menu=t},l.prototype.generateHtml=function(){o.prototype.generateHtml.call(this);var t=this.html;t.appendChild(this.generateTitle()),t.appendChild(this.contentDiv),t.appendChild(this.generateSignature()),t.appendChild(this.close.html),t.setAttribute("tabindex","0")},l.prototype.post=function(){o.prototype.post.call(this);var t=document.documentElement,e=this.html,t=window.innerHeight||t.clientHeight||t.scrollHeight||0,r=Math.floor(-e.offsetWidth/2),t=Math.floor((t-e.offsetHeight)/3);e.setAttribute("style","margin-left: "+r+"px; top: "+t+"px;"),window.event instanceof MouseEvent&&e.classList.add(s.HtmlClasses.MOUSEPOST),e.focus()},l.prototype.display=function(){this.menu.registerWidget(this),this.contentDiv.innerHTML=this.content();var t=this.menu.html;t.parentNode&&t.parentNode.removeChild(t),this.menu.frame.appendChild(this.html)},l.prototype.click=function(t){},l.prototype.keydown=function(t){this.bubbleKey(),o.prototype.keydown.call(this,t)},l.prototype.escape=function(t){this.unpost()},l.prototype.unpost=function(){o.prototype.unpost.call(this),this.html.classList.remove(s.HtmlClasses.MOUSEPOST),this.menu.unregisterWidget(this)},l.prototype.generateClose=function(){var t=new a.CloseButton(this),e=t.html;return e.classList.add(s.HtmlClasses.INFOCLOSE),e.setAttribute("aria-label","Close Dialog 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r(){this.constructor=t}n(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)}),a=(Object.defineProperty(e,"__esModule",{value:!0}),e.Rule=void 0,r(9329)),s=r(2165),r=(o=a.AbstractEntry,i(l,o),l.fromJson=function(t,e,r){return new this(r)},l.prototype.generateHtml=function(){o.prototype.generateHtml.call(this);var t=this.html;t.classList.add(s.HtmlClasses.MENURULE),t.setAttribute("aria-orientation","vertical")},l.prototype.addEvents=function(t){},l.prototype.toJson=function(){return{type:"rule"}},l);function l(t){t=o.call(this,t,"rule")||this;return t.className=s.HtmlClasses.MENUITEM,t.role="separator",t}e.Rule=r},7625:function(t,e,r){var n,o,i=this&&this.__extends||(n=function(t,e){return(n=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)e.hasOwnProperty(r)&&(t[r]=e[r])})(t,e)},function(t,e){function r(){this.constructor=t}n(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new 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t=i.cloneContentNode(this.semantic.contentNodes[0]),e=this.semantic.contentNodes[1]?i.cloneContentNode(this.semantic.contentNodes[1]):null;if(this.inner=this.semantic.childNodes.map(i.walkTree),this.mml)if("MFENCED"===o.tagName(this.mml)){var r=this.mml.childNodes;this.mml.insertBefore(t,r[0]||null),e&&this.mml.appendChild(e),this.mml=i.rewriteMfenced(this.mml)}else{const n=[t,this.mml];e&&n.push(e),this.mml=i.introduceNewLayer(n,this.semantic)}else this.mml=i.introduceNewLayer([t].concat(this.inner,[e]),this.semantic);return(0,a.setAttributes)(this.mml,this.semantic),this.mml}}e.CaseTable=s},6887:function(t,e,r){Object.defineProperty(e,"__esModule",{value:!0}),e.CaseTensor=void 0;const a=r(5656),s=r(6839),l=r(5452),c=r(2298);class n extends s.CaseMultiindex{static test(t){return!!t.mathmlTree&&"tensor"===t.type}constructor(t){super(t)}getMathml(){l.walkTree(this.semantic.childNodes[0]);var 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n=t.allAttributes();for(let t,e=0;t=n[e];e++)r.setAttribute(o.Prefix+t[0].toLowerCase(),t[1]);t.childNodes.length&&r.setAttribute(i.CHILDREN,a(t.childNodes)),t.contentNodes.length&&r.setAttribute(i.CONTENT,a(t.contentNodes)),t.parent&&r.setAttribute(i.PARENT,t.parent.id.toString()),s(r,t)},o.setPostfix=s,o.removeAttributePrefix=function(t){return t.toString().replace(new RegExp(o.Prefix,"g"),"")},o.addPrefix=function(t){return o.Prefix+t}},3532:function(t,n){Object.defineProperty(n,"__esModule",{value:!0}),n.factory=n.getCase=void 0,n.getCase=function(r){for(let t,e=0;t=n.factory[e];e++)if(t.test(r))return t.constr(r);return null},n.factory=[]},1513:function(t,e,r){Object.defineProperty(e,"__esModule",{value:!0});const n=r(6061),o=r(5765),i=r(7251),a=r(6265),s=r(6514),l=r(7014),c=r(3416),u=r(5699),p=r(6887),h=r(9236);r(3532).factory.push({test:a.CaseLimit.test,constr:t=>new a.CaseLimit(t)},{test:i.CaseEmbellished.test,constr:t=>new 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h.CaseText(t)})},5452:function(j,r,t){Object.defineProperty(r,"__esModule",{value:!0}),r.printNodeList__=r.collapsePunctuated=r.formattedOutput_=r.formattedOutput=r.getInnerNode=r.setOperatorAttribute_=r.createInvisibleOperator_=r.rewriteMfenced=r.cloneContentNode=r.addCollapsedAttribute=r.parentNode_=r.isIgnorable_=r.unitChild_=r.descendNode_=r.ascendNewNode=r.validLca_=r.pathToRoot_=r.attachedElement_=r.prunePath_=r.mathmlLca_=r.lcaType=r.functionApplication_=r.isDescendant_=r.insertNewChild_=r.mergeChildren_=r.collectChildNodes_=r.collateChildNodes_=r.childrenSubset_=r.moveSemanticAttributes_=r.introduceLayerAboveLca=r.introduceNewLayer=r.walkTree=r.enrich=r.SETTINGS=void 0;const i=t(2057),l=t(5740),B=t(5897),D=t(3588),F=t(7516),a=t(5656),s=t(4795),c=t(2298),H=t(3532);function u(t){const e=(0,H.getCase)(t);let r;if(e)return A(r=e.getMathml());if(1===t.mathml.length)return i.Debugger.getInstance().output("Walktree Case 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t}}parse(t){this.modality=t.modality||this.modality,this.locale=t.locale||this.locale,this.domain=t.domain||this.domain,this.context.parse(t.functions||[]),"actions"!==t.kind&&(this.kind=t.kind||this.kind,this.inheritRules()),this.parseRules(t.rules||[])}parseRules(r){for(let t,e=0;t=r[e];e++){const r=t[0],n=this.parseMethods[r];r&&n&&n.apply(this,t.slice(1))}}generateRules(t){const e=this.context.customGenerators.lookup(t);e&&e(this)}defineAction(r,t){let n;try{n=l.Action.fromString(t)}catch(r){if("RuleError"===r.name)return void console.error("Action Error ",t,r.message);throw r}const e=this.getFullPreconditions(r);if(e){this.ignoreRules(r);const o=new RegExp("^\\w+\\.\\w+\\."+(this.domain?"\\w+\\.":""));e.conditions.forEach(([t,e])=>{t=this.parseCstr(t.toString().replace(o,""));this.addRule(new l.SpeechRule(r,t,e,n))})}else console.error("Action Error: No precondition for action "+r)}getFullPreconditions(t){var e=this.preconditions.get(t);return e||!this.inherits?e:this.inherits.getFullPreconditions(t)}definePrecondition(t,e,r,...n){const o=this.parsePrecondition(r,n),i=this.parseCstr(e);o&&i?(o.rank=this.rank++,this.preconditions.set(t,new s(i,o))):console.error(`Precondition Error: ${r}, (${e})`)}inheritRules(){if(this.inherits&&this.inherits.getSpeechRules().length){const r=new RegExp("^\\w+\\.\\w+\\."+(this.domain?"\\w+\\.":""));this.inherits.getSpeechRules().forEach(t=>{var e=this.parseCstr(t.dynamicCstr.toString().replace(r,""));this.addRule(new l.SpeechRule(t.name,e,t.precondition,t.action))})}}ignoreRules(e,...r){let n=this.findAllRules(t=>t.name===e);if(r.length){let t=[];for(const e of r){const r=this.parseCstr(e);for(const e of n)r.equal(e.dynamicCstr)?this.deleteRule(e):t.push(e);n=t,t=[]}}else n.forEach(this.deleteRule.bind(this))}parsePrecondition_(t){const e=this.context.customGenerators.lookup(t);return e?e():[t]}}e.BaseRuleStore=a;class s{constructor(t,e){this.base=t,this._conditions=[],this.constraints=[],this.allCstr={},this.constraints.push(t),this.addCondition(t,e)}get conditions(){return this._conditions}addConstraint(e){if(!this.constraints.filter(t=>t.equal(e)).length){this.constraints.push(e);const n=[];for(var[t,r]of this.conditions)this.base.equal(t)&&n.push([e,r]);this._conditions=this._conditions.concat(n)}}addBaseCondition(t){this.addCondition(this.base,t)}addFullCondition(e){this.constraints.forEach(t=>this.addCondition(t,e))}addCondition(t,e){var r=t.toString()+" "+e.toString();this.allCstr.condStr||(this.allCstr[r]=!0,this._conditions.push([t,e]))}}e.Condition=s},2469:function(t,e,r){Object.defineProperty(e,"__esModule",{value:!0}),e.BrailleStore=void 0;const n=r(7630),o=r(9935);class i extends o.MathStore{constructor(){super(...arguments),this.modality="braille",this.customTranscriptions={"⋊":"⠈⠡⠳"}}evaluateString(t){const e=[],r=Array.from(t);for(let t=0;t<r.length;t++)e.push(this.evaluateCharacter(r[t]));return e}annotations(){for(let t,e=0;t=this.annotators[e];e++)(0,n.activate)(this.locale,t)}}e.BrailleStore=i},1676:function(t,e){var r,n;Object.defineProperty(e,"__esModule",{value:!0}),e.DefaultComparator=e.DynamicCstrParser=e.DynamicCstr=e.DynamicProperties=e.Axis=void 0,(n=r=e.Axis||(e.Axis={})).DOMAIN="domain",n.STYLE="style",n.LOCALE="locale",n.TOPIC="topic",n.MODALITY="modality";class a{constructor(t,e=Object.keys(t)){this.properties=t,this.order=e}static createProp(...n){const o=s.DEFAULT_ORDER,i={};for(let t=0,e=n.length,r=o.length;t<e&&t<r;t++)i[o[t]]=n[t];return new a(i)}getProperties(){return this.properties}getOrder(){return this.order}getAxes(){return this.order}getProperty(t){return this.properties[t]}updateProperties(t){this.properties=t}allProperties(){const e=[];return this.order.forEach(t=>e.push(this.getProperty(t).slice())),e}toString(){const e=[];return this.order.forEach(t=>e.push(t+": "+this.getProperty(t).toString())),e.join("\n")}}class s extends(e.DynamicProperties=a){constructor(t,e){const r={};for(const[e,n]of Object.entries(t))r[e]=[n];super(r,e),this.components=t}static createCstr(...n){const o=s.DEFAULT_ORDER,i={};for(let t=0,e=n.length,r=o.length;t<e&&t<r;t++)i[o[t]]=n[t];return new s(i)}static defaultCstr(){return s.createCstr.apply(null,s.DEFAULT_ORDER.map(function(t){return s.DEFAULT_VALUES[t]}))}static validOrder(t){const e=s.DEFAULT_ORDER.slice();return t.every(t=>{t=e.indexOf(t);return-1!==t&&e.splice(t,1)})}getComponents(){return this.components}getValue(t){return this.components[t]}getValues(){return this.order.map(t=>this.getValue(t))}allProperties(){const n=super.allProperties();for(let t,e,r=0;t=n[r],e=this.order[r];r++){const n=this.getValue(e);-1===t.indexOf(n)&&t.unshift(n)}return n}toString(){return this.getValues().join(".")}equal(r){const n=r.getAxes();if(this.order.length!==n.length)return!1;for(let t,e=0;t=n[e];e++){const n=this.getValue(t);if(!n||r.getValue(t)!==n)return!1}return!0}}(e.DynamicCstr=s).DEFAULT_ORDER=[r.LOCALE,r.MODALITY,r.DOMAIN,r.STYLE,r.TOPIC],s.BASE_LOCALE="base",s.DEFAULT_VALUE="default",s.DEFAULT_VALUES={[r.LOCALE]:"en",[r.DOMAIN]:s.DEFAULT_VALUE,[r.STYLE]:s.DEFAULT_VALUE,[r.TOPIC]:s.DEFAULT_VALUE,[r.MODALITY]:"speech"},e.DynamicCstrParser=class{constructor(t){this.order=t}parse(t){const r=t.split("."),n={};if(r.length>this.order.length)throw new Error("Invalid dynamic constraint: "+n);let o=0;for(let t,e=0;t=this.order[e],r.length;e++,o++){const o=r.shift();n[t]=o}return new s(n,this.order.slice(0,o))}},e.DefaultComparator=class{constructor(t,e=new a(t.getProperties(),t.getOrder())){this.reference=t,this.fallback=e,this.order=this.reference.getOrder()}getReference(){return this.reference}setReference(t,e){this.reference=t,this.fallback=e||new a(t.getProperties(),t.getOrder()),this.order=this.reference.getOrder()}match(r){const t=r.getAxes();return t.length===this.reference.getAxes().length&&t.every(t=>{var e=r.getValue(t);return e===this.reference.getValue(t)||-1!==this.fallback.getProperty(t).indexOf(e)})}compare(r,n){let o=!1;for(let t,e=0;t=this.order[e];e++){var i=r.getValue(t),a=n.getValue(t);if(!o){const r=this.reference.getValue(t);if(r===i&&r!==a)return-1;if(r===a&&r!==i)return 1;if(r===i&&r===a)continue;r!==i&&r!==a&&(o=!0)}const s=this.fallback.getProperty(t),l=s.indexOf(i),c=s.indexOf(a);if(l<c)return-1;if(c<l)return 1}return 0}toString(){return this.reference.toString()+"\n"+this.fallback.toString()}}},2105:function(t,r,e){Object.defineProperty(r,"__esModule",{value:!0}),r.numbersToAlpha=r.Grammar=r.ATTRIBUTE=void 0;const n=e(5740),s=e(5897),o=e(2536),l=e(4356);r.ATTRIBUTE="grammar";class c{constructor(){this.currentFlags={},this.parameters_={},this.corrections_={},this.preprocessors_={},this.stateStack_=[]}static getInstance(){return c.instance=c.instance||new c,c.instance}static parseInput(t){const r={},n=t.split(":");for(let t=0,e=n.length;t<e;t++){const o=n[t].split("="),i=o[0].trim();o[1]?r[i]=o[1].trim():i.match(/^!/)?r[i.slice(1)]=!1:r[i]=!0}return r}static parseState(t){const r={},n=t.split(" ");for(let t=0,e=n.length;t<e;t++){var o=n[t].split(":"),i=o[0],o=o[1];r[i]=o||!0}return r}static translateString_(t){if(t.match(/:unit$/))return c.translateUnit_(t);const e=s.default.getInstance();let r=e.evaluator(t,e.dynamicCstr);return r=null===r?t:r,r=c.getInstance().getParameter("plural")?l.LOCALE.FUNCTIONS.plural(r):r}static translateUnit_(t){t=c.prepareUnit_(t);const e=s.default.getInstance(),r=c.getInstance().getParameter("plural"),n=e.strict,o=`${e.locale}.${e.modality}.default`;let i,a;return e.strict=!0,r&&(i=e.defaultParser.parse(o+".plural"),a=e.evaluator(t,i)),a?(e.strict=n,a):(i=e.defaultParser.parse(o+".default"),a=e.evaluator(t,i),e.strict=n,a?a=r?l.LOCALE.FUNCTIONS.plural(a):a:c.cleanUnit_(t))}static prepareUnit_(t){var e=t.match(/:unit$/);return e?t.slice(0,e.index).replace(/\s+/g," ")+t.slice(e.index):t}static cleanUnit_(t){return t.match(/:unit$/)?t.replace(/:unit$/,""):t}clear(){this.parameters_={},this.stateStack_=[]}setParameter(t,e){var r=this.parameters_[t];return e?this.parameters_[t]=e:delete this.parameters_[t],r}getParameter(t){return this.parameters_[t]}setCorrection(t,e){this.corrections_[t]=e}setPreprocessor(t,e){this.preprocessors_[t]=e}getCorrection(t){return this.corrections_[t]}getState(){const t=[];for(const r in this.parameters_){var e=this.parameters_[r];t.push("string"==typeof e?r+":"+e:r)}return t.join(" ")}pushState(t){for(const e in t)t[e]=this.setParameter(e,t[e]);this.stateStack_.push(t)}popState(){var t=this.stateStack_.pop();for(const e in t)this.setParameter(e,t[e])}setAttribute(t){var e;t&&t.nodeType===n.NodeType.ELEMENT_NODE&&(e=this.getState())&&t.setAttribute(r.ATTRIBUTE,e)}preprocess(t){return this.runProcessors_(t,this.preprocessors_)}correct(t){return this.runProcessors_(t,this.corrections_)}apply(t,e){return this.currentFlags=e||{},t=this.currentFlags.adjust||this.currentFlags.preprocess?c.getInstance().preprocess(t):t,(this.parameters_.translate||this.currentFlags.translate)&&(t=c.translateString_(t)),t=this.currentFlags.adjust||this.currentFlags.correct?c.getInstance().correct(t):t,this.currentFlags={},t}runProcessors_(t,e){for(const n in this.parameters_){const o=e[n];var r;o&&(t=!0===(r=this.parameters_[n])?o(t):o(t,r))}return t}}function i(t,e){if(!e||!t)return t;e=l.LOCALE.FUNCTIONS.fontRegexp(o.localFont(e));return t.replace(e,"")}function a(t){return t.match(/\d+/)?l.LOCALE.NUMBERS.numberToWords(parseInt(t,10)):t}r.Grammar=c,r.numbersToAlpha=a,c.getInstance().setCorrection("localFont",o.localFont),c.getInstance().setCorrection("localRole",o.localRole),c.getInstance().setCorrection("localEnclose",o.localEnclose),c.getInstance().setCorrection("ignoreFont",i),c.getInstance().setPreprocessor("annotation",function(t,e){return t+":"+e}),c.getInstance().setPreprocessor("noTranslateText",function(t){return t.match(new RegExp("^["+l.LOCALE.MESSAGES.regexp.TEXT+"]+$"))&&(c.getInstance().currentFlags.translate=!1),t}),c.getInstance().setCorrection("ignoreCaps",function(t){let e=l.LOCALE.ALPHABETS.capPrefix[s.default.getInstance().domain];return i(t,e=void 0===e?l.LOCALE.ALPHABETS.capPrefix.default:e)}),c.getInstance().setPreprocessor("numbers2alpha",a)},2780:function(t,e,r){Object.defineProperty(e,"__esModule",{value:!0}),e.enumerate=e.lookupString=e.lookupCategory=e.lookupRule=e.addSiUnitRules=e.addUnitRules=e.addFunctionRules=e.addSymbolRules=e.defineRule=e.defineRules=e.setSiPrefixes=void 0;const n=r(2057),o=r(5897),a=r(7491),i=r(4658),s=r(1676);let l=s.DynamicCstr.DEFAULT_VALUES[s.Axis.LOCALE],c=s.DynamicCstr.DEFAULT_VALUES[s.Axis.MODALITY],u={};e.setSiPrefixes=function(t){u=t};const p={};function h(t,e,r,n){const o=v(e);_(o,r),o.defineRulesFromMappings(t,l,c,e,n)}function d(t){if(!b(t)){var r=t.names,n=t.mappings,o=t.category;for(let t,e=0;t=r[e];e++)h(t,t,o,n)}}function f(t){for(const r of Object.keys(u)){const n=Object.assign({},t);n.mappings={};var e=u[r];n.key=r+n.key,n.names=n.names.map(function(t){return r+t});for(const o of Object.keys(t.mappings)){n.mappings[o]={};for(const i of Object.keys(t.mappings[o]))n.mappings[o][i]=a.locales[l]().FUNCTIONS.si(e,t.mappings[o][i])}g(n)}g(t)}function m(t,e){const r=p[t];return r?r.lookupRule(null,e):null}function y(t,e){t=m(t,e);return t?t.action:null}function g(t){const e=t.names;e&&(t.names=e.map(function(t){return t+":unit"})),d(t)}function b(t){return(t.locale||t.modality)&&(l=t.locale||l,c=t.modality||c,1)}function v(t){let e=p[t];return e?n.Debugger.getInstance().output("Store exists! "+t):(e=new i.MathSimpleStore,p[t]=e),e}function _(t,e){e&&(t.category=e)}e.defineRules=h,e.defineRule=function(t,e,r,n,o,i){const a=v(o);_(a,n),a.defineRuleFromStrings(t,l,c,e,r,o,i)},e.addSymbolRules=function(t){var e;b(t)||(e=i.MathSimpleStore.parseUnicode(t.key),h(t.key,e,t.category,t.mappings))},e.addFunctionRules=d,e.addUnitRules=function(t){b(t)||(t.si?f:g)(t)},e.addSiUnitRules=f,e.lookupRule=m,e.lookupCategory=function(t){t=p[t];return t?t.category:""},e.lookupString=y,o.default.getInstance().evaluator=y,e.enumerate=function(t={}){for(const n of Object.values(p))for(var[,e]of n.rules.entries())for(var{cstr:r}of e)t=function t(e,r){return r=r||{},e.length&&(r[e[0]]=t(e.slice(1),r[e[0]])),r}(r.getValues(),t);return t}},4658:function(t,e,r){Object.defineProperty(e,"__esModule",{value:!0}),e.MathSimpleStore=void 0;const f=r(5897),n=r(1676);class o{constructor(){this.category="",this.rules=new Map}static parseUnicode(t){t=parseInt(t,16);return String.fromCodePoint(t)}static testDynamicConstraints_(t,e){return f.default.getInstance().strict?e.cstr.equal(t):f.default.getInstance().comparator.match(e.cstr)}defineRulesFromMappings(t,e,r,n,o){for(const a in o)for(const s in o[a]){var i=o[a][s];this.defineRuleFromStrings(t,e,r,a,s,n,i)}}getRules(t){let e=this.rules.get(t);return e||(e=[],this.rules.set(t,e)),e}defineRuleFromStrings(t,e,r,n,o,i,a){let s=this.getRules(e);const l=f.default.getInstance().parsers[n]||f.default.getInstance().defaultParser,c=f.default.getInstance().comparators[n],u=e+`.${r}.${n}.`+o,p=l.parse(u),h=c?c():f.default.getInstance().comparator,d=h.getReference();h.setReference(p);r={cstr:p,action:a};(s=s.filter(t=>!p.equal(t.cstr))).push(r),this.rules.set(e,s),h.setReference(d)}lookupRule(t,e){let r=this.getRules(e.getValue(n.Axis.LOCALE));return 1===(r=r.filter(function(t){return o.testDynamicConstraints_(e,t)})).length?r[0]:r.length?r.sort((t,e)=>f.default.getInstance().comparator.compare(t.cstr,e.cstr))[0]:null}}e.MathSimpleStore=o},9935:function(t,e,r){Object.defineProperty(e,"__esModule",{value:!0}),e.MathStore=void 0;const a=r(707),s=r(4356),n=r(7630),o=r(4504),l=r(4650);class i extends o.BaseRuleStore{constructor(){super(),this.annotators=[],this.parseMethods.Alias=this.defineAlias,this.parseMethods.SpecializedRule=this.defineSpecializedRule,this.parseMethods.Specialized=this.defineSpecialized}initialize(){this.initialized||(this.annotations(),this.initialized=!0)}annotations(){for(let t,e=0;t=this.annotators[e];e++)(0,n.activate)(this.domain,t)}defineAlias(t,e,...r){var n=this.parsePrecondition(e,r);if(n){const o=this.preconditions.get(t);o?o.addFullCondition(n):console.error("Alias Error: No precondition by the name of "+t)}else console.error(`Precondition Error: ${e} `+r)}defineRulesAlias(e,r,...n){const t=this.findAllRules(function(t){return t.name===e});if(0===t.length)throw new l.OutputError("Rule with name "+e+" does not exist.");const o=[];t.forEach(t=>{(t=>{var r=t.dynamicCstr.toString(),n=t.action.toString();for(let t,e=0;t=o[e];e++)if(t.action===n&&t.cstr===r)return!1;return o.push({cstr:r,action:n}),!0})(t)&&this.addAlias_(t,r,n)})}defineSpecializedRule(e,t,r,n){const o=this.parseCstr(t),i=this.findRule(t=>t.name===e&&o.equal(t.dynamicCstr)),a=this.parseCstr(r);if(!i&&n)throw new l.OutputError("Rule named "+e+" with style "+t+" does not exist.");r=n?l.Action.fromString(n):i.action,t=new l.SpeechRule(i.name,a,i.precondition,r);this.addRule(t)}defineSpecialized(t,e,r){var n=this.parseCstr(r);if(n){const o=this.preconditions.get(t);o?o.addConstraint(n):console.error("Alias Error: No precondition by the name of "+t)}else console.error("Dynamic Constraint Error: "+r)}evaluateString(r){const n=[];if(r.match(/^\s+$/))return n;let o=this.matchNumber_(r);if(o&&o.length===r.length)return n.push(this.evaluateCharacter(o.number)),n;var i=a.removeEmpty(r.replace(/\s/g," ").split(" "));for(let e,t=0;e=i[t];t++)if(1===e.length)n.push(this.evaluateCharacter(e));else if(e.match(new RegExp("^["+s.LOCALE.MESSAGES.regexp.TEXT+"]+$")))n.push(this.evaluateCharacter(e));else{let t=e;for(;t;){o=this.matchNumber_(t);const r=t.match(new RegExp("^["+s.LOCALE.MESSAGES.regexp.TEXT+"]+"));if(o)n.push(this.evaluateCharacter(o.number)),t=t.substring(o.length);else if(r)n.push(this.evaluateCharacter(r[0])),t=t.substring(r[0].length);else{const r=Array.from(t),o=r[0];n.push(this.evaluateCharacter(o)),t=r.slice(1).join("")}}}return n}parse(t){super.parse(t),this.annotators=t.annotators||[]}addAlias_(t,e,r){const n=this.parsePrecondition(e,r),o=new l.SpeechRule(t.name,t.dynamicCstr,n,t.action);o.name=t.name,this.addRule(o)}matchNumber_(t){const e=t.match(new RegExp("^"+s.LOCALE.MESSAGES.regexp.NUMBER)),r=t.match(new RegExp("^"+i.regexp.NUMBER));if(!e&&!r)return null;var n=r&&r[0]===t;return e&&e[0]===t||!n?e?{number:e[0],length:e[0].length}:null:{number:r[0].replace(new RegExp(i.regexp.DIGIT_GROUP,"g"),"X").replace(new RegExp(i.regexp.DECIMAL_MARK,"g"),s.LOCALE.MESSAGES.regexp.DECIMAL_MARK).replace(/X/g,s.LOCALE.MESSAGES.regexp.DIGIT_GROUP.replace(/\\/g,"")),length:r[0].length}}}(e.MathStore=i).regexp={NUMBER:"((\\d{1,3})(?=(,| ))((,| )\\d{3})*(\\.\\d+)?)|^\\d*\\.\\d+|^\\d+",DECIMAL_MARK:"\\.",DIGIT_GROUP:","}},4650:function(t,e,r){Object.defineProperty(e,"__esModule",{value:!0}),e.OutputError=e.Precondition=e.Action=e.Component=e.ActionType=e.SpeechRule=void 0;const n=r(5897),s=r(2105);var o;e.SpeechRule=class{constructor(t,e,r,n){this.name=t,this.dynamicCstr=e,this.precondition=r,this.action=n,this.context=null}toString(){return this.name+" | "+this.dynamicCstr.toString()+" | "+this.precondition.toString()+" ==> "+this.action.toString()}},(r=o=e.ActionType||(e.ActionType={})).NODE="NODE",r.MULTI="MULTI",r.TEXT="TEXT",r.PERSONALITY="PERSONALITY";class l{constructor({type:t,content:e,attributes:r,grammar:n}){this.type=t,this.content=e,this.attributes=r,this.grammar=n}static grammarFromString(t){return s.Grammar.parseInput(t)}static fromString(t){const e={type:function(t){switch(t){case"[n]":return o.NODE;case"[m]":return o.MULTI;case"[t]":return o.TEXT;case"[p]":return o.PERSONALITY;default:throw"Parse error: "+t}}(t.substring(0,3))};let r=t.slice(3).trim();if(!r)throw new c("Missing content.");switch(e.type){case o.TEXT:if('"'===r[0]){const t=u(r,"\\(")[0].trim();if('"'!==t.slice(-1))throw new c("Invalid string syntax.");e.content=t,-1===(r=r.slice(t.length).trim()).indexOf("(")&&(r="");break}case o.NODE:case o.MULTI:{const t=r.indexOf(" (");if(-1===t){e.content=r.trim(),r="";break}e.content=r.substring(0,t).trim(),r=r.slice(t).trim()}}if(r){const t=l.attributesFromString(r);t.grammar&&(e.grammar=t.grammar,delete t.grammar),Object.keys(t).length&&(e.attributes=t)}return new l(e)}static attributesFromString(r){if("("!==r[0]||")"!==r.slice(-1))throw new c("Invalid attribute expression: "+r);const n={},o=u(r.slice(1,-1),",");for(let t=0,e=o.length;t<e;t++){const i=o[t],a=i.indexOf(":");if(-1===a)n[i.trim()]="true";else{const r=i.substring(0,a).trim(),o=i.slice(a+1).trim();n[r]=r===s.ATTRIBUTE?l.grammarFromString(o):o}}return n}toString(){var t="",e=(t=(t+=function(t){switch(t){case o.NODE:return"[n]";case o.MULTI:return"[m]";case o.TEXT:return"[t]";case o.PERSONALITY:return"[p]";default:throw"Unknown type error: "+t}}(this.type))+(this.content?" "+this.content:""),this.attributesToString());return t+=e?" "+e:""}grammarToString(){return this.getGrammar().join(":")}getGrammar(){const t=[];for(const e in this.grammar)!0===this.grammar[e]?t.push(e):!1===this.grammar[e]?t.push("!"+e):t.push(e+"="+this.grammar[e]);return t}attributesToString(){const t=this.getAttributes(),e=this.grammarToString();return e&&t.push("grammar:"+e),0<t.length?"("+t.join(", ")+")":""}getAttributes(){const t=[];for(const r in this.attributes){var e=this.attributes[r];"true"===e?t.push(r):t.push(r+":"+e)}return t}}e.Component=l;e.Action=class a{constructor(t){this.components=t}static fromString(t){const r=u(t,";").filter(function(t){return t.match(/\S/)}).map(function(t){return t.trim()}),n=[];for(let t=0,e=r.length;t<e;t++){var o=l.fromString(r[t]);o&&n.push(o)}return new a(n)}toString(){return this.components.map(function(t){return t.toString()}).join("; ")}};class i{constructor(t,...e){this.query=t,this.constraints=e;var[t,e]=this.presetPriority();this.priority=t?e:this.calculatePriority()}static constraintValue(r,n){for(let t,e=0;t=n[e];e++)if(r.match(t))return++e;return 0}toString(){var t=this.constraints.join(", ");return`${this.query}, ${t} (${this.priority}, ${this.rank})`}calculatePriority(){var t=i.constraintValue(this.query,i.queryPriorities);if(!t)return 0;var e=this.query.match(/^self::.+\[(.+)\]/)[1];return 100*t+10*i.constraintValue(e,i.attributePriorities)}presetPriority(){if(!this.constraints.length)return[!1,0];var t=this.constraints[this.constraints.length-1].match(/^priority=(.*$)/);if(!t)return[!1,0];this.constraints.pop();t=parseFloat(t[1]);return[!0,isNaN(t)?0:t]}}(e.Precondition=i).queryPriorities=[/^self::\*\[.+\]$/,/^self::[\w-]+\[.+\]$/],i.attributePriorities=[/^@[\w-]+$/,/^@[\w-]+!=".+"$/,/^not\(contains\(@[\w-]+,\s*".+"\)\)$/,/^contains\(@[\w-]+,".+"\)$/,/^@[\w-]+=".+"$/];class c extends n.SREError{constructor(t){super(t),this.name="RuleError"}}function u(t,e){const r=[];let n="";for(;""!==t;){var o=t.search(e);if(-1===o){if((t.match(/"/g)||[]).length%2!=0)throw new c("Invalid string in expression: "+t);r.push(n+t),t=n=""}else if((t.substring(0,o).match(/"/g)||[]).length%2==0)r.push(n+t.substring(0,o)),n="",t=t.substring(o+1);else{const e=t.substring(o).search('"');if(-1===e)throw new c("Invalid string in expression: "+t);n+=t.substring(0,o+e+1),t=t.substring(o+e+1)}}return n&&r.push(n),r}e.OutputError=c},4106:function(t,e,r){Object.defineProperty(e,"__esModule",{value:!0}),e.SpeechRuleContext=void 0;const n=r(5274),o=r(5662);e.SpeechRuleContext=class{constructor(){this.customQueries=new o.CustomQueries,this.customStrings=new o.CustomStrings,this.contextFunctions=new o.ContextFunctions,this.customGenerators=new o.CustomGenerators}applyCustomQuery(t,e){const r=this.customQueries.lookup(e);return r?r(t):null}applySelector(t,e){return this.applyCustomQuery(t,e)||n.evalXPath(e,t)}applyQuery(t,e){t=this.applySelector(t,e);return 0<t.length?t[0]:null}applyConstraint(t,e){return!!this.applyQuery(t,e)||n.evaluateBoolean(e,t)}constructString(t,e){if(!e)return"";if('"'===e.charAt(0))return e.slice(1,-1);const r=this.customStrings.lookup(e);return r?r(t):n.evaluateString(e,t)}parse(t){var r=Array.isArray(t)?t:Object.entries(t);for(let t,e=0;t=r[e];e++)switch(t[0].slice(0,3)){case"CQF":this.customQueries.add(t[0],t[1]);break;case"CSF":this.customStrings.add(t[0],t[1]);break;case"CTF":this.contextFunctions.add(t[0],t[1]);break;case"CGF":this.customGenerators.add(t[0],t[1]);break;default:console.error("FunctionError: Invalid function name "+t[0])}}}},2362:function(t,e,r){Object.defineProperty(e,"__esModule",{value:!0}),e.storeFactory=e.SpeechRuleEngine=void 0;const d=r(7052),c=r(2057),n=r(5740),u=r(5897),p=r(4440),h=r(5274),o=r(7283),i=r(7599),a=r(2469),l=r(1676),f=r(2105),s=r(9935),m=r(4650),y=r(4508);class g{constructor(){this.trie=null,this.evaluators_={},this.trie=new y.Trie}static getInstance(){return g.instance=g.instance||new g,g.instance}static debugSpeechRule(e,r){const t=e.precondition,n=e.context.applyQuery(r,t.query);c.Debugger.getInstance().output(t.query,n&&n.toString()),t.constraints.forEach(t=>c.Debugger.getInstance().output(t,e.context.applyConstraint(r,t)))}static debugNamedSpeechRule(r,n){var o=g.getInstance().trie.collectRules().filter(t=>t.name==r);for(let t,e=0;t=o[e];e++)c.Debugger.getInstance().output("Rule",r,"DynamicCstr:",t.dynamicCstr.toString(),"number",e),g.debugSpeechRule(t,n)}evaluateNode(t){(0,h.updateEvaluator)(t);var e=(new Date).getTime();let r=[];try{r=this.evaluateNode_(t)}catch(t){console.error("Something went wrong computing speech."),c.Debugger.getInstance().output(t)}var n=(new Date).getTime();return c.Debugger.getInstance().output("Time:",n-e),r}toString(){return this.trie.collectRules().map(t=>t.toString()).join("\n")}runInSetting(t,e){const r=u.default.getInstance(),n={};for(const e in t)n[e]=r[e],r[e]=t[e];r.setDynamicCstr();e=e();for(const t in n)r[t]=n[t];return r.setDynamicCstr(),e}addStore(t){const e=v(t);"abstract"!==e.kind&&e.getSpeechRules().forEach(t=>this.trie.addRule(t)),this.addEvaluator(e)}processGrammar(t,e,r){const n={};for(const i in r){var o=r[i];n[i]="string"==typeof o?t.constructString(e,o):o}f.Grammar.getInstance().pushState(n)}addEvaluator(t){const e=t.evaluateDefault.bind(t),r=this.evaluators_[t.locale];if(r)r[t.modality]=e;else{const n={};n[t.modality]=e,this.evaluators_[t.locale]=n}}getEvaluator(t,e){t=this.evaluators_[t]||this.evaluators_[l.DynamicCstr.DEFAULT_VALUES[l.Axis.LOCALE]];return t[e]||t[l.DynamicCstr.DEFAULT_VALUES[l.Axis.MODALITY]]}enumerate(t){return this.trie.enumerate(t)}evaluateNode_(t){return t?(this.updateConstraint_(),this.evaluateTree_(t)):[]}evaluateTree_(o){const i=u.default.getInstance();let a;c.Debugger.getInstance().output(i.mode!==p.Mode.HTTP?o.toString():o),f.Grammar.getInstance().setAttribute(o);const s=this.lookupRule(o,i.dynamicCstr);if(!s)return i.strict?[]:(a=this.getEvaluator(i.locale,i.modality)(o),o.attributes&&this.addPersonality_(a,{},!1,o),a);c.Debugger.getInstance().generateOutput(()=>["Apply Rule:",s.name,s.dynamicCstr.toString(),(i.mode,p.Mode.HTTP,o.toString())]);const l=s.context,e=s.action.components;a=[];for(let n,t=0;n=e[t];t++){let t=[];const s=n.content||"",p=n.attributes||{};let e=!1,r=(n.grammar&&this.processGrammar(l,o,n.grammar),null);if(p.engine){r=u.default.getInstance().dynamicCstr.getComponents();const o=f.Grammar.parseInput(p.engine);u.default.getInstance().setDynamicCstr(o)}switch(n.type){case m.ActionType.NODE:{const i=l.applyQuery(o,s);i&&(t=this.evaluateTree_(i))}break;case m.ActionType.MULTI:{e=!0;const i=l.applySelector(o,s);0<i.length&&(t=this.evaluateNodeList_(l,i,p.sepFunc,l.constructString(o,p.separator),p.ctxtFunc,l.constructString(o,p.context)))}break;case m.ActionType.TEXT:{const i=p.span,a={};if(i){const d=(0,h.evalXPath)(i,o);d.length&&(a.extid=d[0].getAttribute("extid"))}const u=l.constructString(o,s);!u&&""!==u||(t=Array.isArray(u)?u.map(function(t){return d.AuditoryDescription.create({text:t.speech,attributes:t.attributes},{adjust:!0})}):[d.AuditoryDescription.create({text:u,attributes:a},{adjust:!0})])}break;default:m.ActionType.PERSONALITY;t=[d.AuditoryDescription.create({text:s})]}t[0]&&!e&&(p.context&&(t[0].context=l.constructString(o,p.context)+(t[0].context||"")),p.annotation&&(t[0].annotation=p.annotation)),this.addLayout(t,p,e),n.grammar&&f.Grammar.getInstance().popState(),a=a.concat(this.addPersonality_(t,p,e,o)),r&&u.default.getInstance().setDynamicCstr(r)}return a}evaluateNodeList_(r,n,t,e,o,i){if(!n.length)return[];const a=e||"",s=i||"",l=r.contextFunctions.lookup(o),c=l?l(n,s):function(){return s},u=r.contextFunctions.lookup(t),p=u?u(n,a):function(){return[d.AuditoryDescription.create({text:a},{translate:!0})]};let h=[];for(let t,e=0;t=n[e];e++){const d=this.evaluateTree_(t);if(0<d.length&&(d[0].context=c()+(d[0].context||""),h=h.concat(d),e<n.length-1)){const r=p();h=h.concat(r)}}return h}addLayout(t,e,r){const n=e.layout;n&&(n.match(/^begin/)?t.unshift(new d.AuditoryDescription({text:"",layout:n})):n.match(/^end/)?t.push(new d.AuditoryDescription({text:"",layout:n})):(t.unshift(new d.AuditoryDescription({text:"",layout:"begin"+n})),t.push(new d.AuditoryDescription({text:"",layout:"end"+n}))))}addPersonality_(r,t,e,n){const o={};let i=null;for(const r of p.personalityPropList){const e=t[r];if(void 0!==e){const d=parseFloat(e),n=isNaN(d)?'"'===e.charAt(0)?e.slice(1,-1):e:d;r===p.personalityProps.PAUSE?i=n:o[r]=n}}for(let t,e=0;t=r[e];e++)this.addRelativePersonality_(t,o),this.addExternalAttributes_(t,n);if(e&&r.length&&delete r[r.length-1].personality[p.personalityProps.JOIN],i&&r.length){const t=r[r.length-1];t.text||Object.keys(t.personality).length?r.push(d.AuditoryDescription.create({text:"",personality:{pause:i}})):t.personality[p.personalityProps.PAUSE]=i}return r}addExternalAttributes_(e,t){if(t.hasAttributes()){var r=t.attributes;for(let t=r.length-1;0<=t;t--){const n=r[t].name;!e.attributes[n]&&n.match(/^ext/)&&(e.attributes[n]=r[t].value)}}}addRelativePersonality_(t,e){if(!t.personality)return t.personality=e,t;const r=t.personality;for(const t in e)r[t]&&"number"==typeof r[t]&&"number"==typeof e[t]?r[t]=r[t]+e[t]:r[t]||(r[t]=e[t]);return t}updateConstraint_(){const r=u.default.getInstance().dynamicCstr,n=u.default.getInstance().strict,t=this.trie,o={};let i=r.getValue(l.Axis.LOCALE),a=r.getValue(l.Axis.MODALITY),e=r.getValue(l.Axis.DOMAIN);t.hasSubtrie([i,a,e])||(e=l.DynamicCstr.DEFAULT_VALUES[l.Axis.DOMAIN],t.hasSubtrie([i,a,e])||(a=l.DynamicCstr.DEFAULT_VALUES[l.Axis.MODALITY],t.hasSubtrie([i,a,e])||(i=l.DynamicCstr.DEFAULT_VALUES[l.Axis.LOCALE]))),o[l.Axis.LOCALE]=[i],o[l.Axis.MODALITY]=["summary"!==a?a:l.DynamicCstr.DEFAULT_VALUES[l.Axis.MODALITY]],o[l.Axis.DOMAIN]=["speech"!==a?l.DynamicCstr.DEFAULT_VALUES[l.Axis.DOMAIN]:e];var s=r.getOrder();for(let t,e=0;t=s[e];e++)if(!o[t]){const i=r.getValue(t),a=this.makeSet_(i,r.preference),u=l.DynamicCstr.DEFAULT_VALUES[t];n||i===u||a.push(u),o[t]=a}r.updateProperties(o)}makeSet_(t,e){return e&&Object.keys(e).length?t.split(":"):[t]}lookupRule(t,e){if(!t||t.nodeType!==n.NodeType.ELEMENT_NODE&&t.nodeType!==n.NodeType.TEXT_NODE)return null;t=this.lookupRules(t,e);return 0<t.length?this.pickMostConstraint_(e,t):null}lookupRules(t,e){return this.trie.lookupRules(t,e.allProperties())}pickMostConstraint_(t,e){const r=u.default.getInstance().comparator;return e.sort(function(t,e){return r.compare(t.dynamicCstr,e.dynamicCstr)||e.precondition.priority-t.precondition.priority||e.precondition.constraints.length-t.precondition.constraints.length||e.precondition.rank-t.precondition.rank}),c.Debugger.getInstance().generateOutput((()=>e.map(t=>t.name+"("+t.dynamicCstr.toString()+")")).bind(this)),e[0]}}e.SpeechRuleEngine=g;const b=new Map;function v(t){var e=`${t.locale}.${t.modality}.`+t.domain;if("actions"===t.kind){const r=b.get(e);return r.parse(t),r}i.init(),t&&!t.functions&&(t.functions=o.getStore(t.locale,t.modality,t.domain));const r=new("braille"===t.modality?a.BrailleStore:s.MathStore);return b.set(e,r),t.inherits&&(r.inherits=b.get(`${t.inherits}.${t.modality}.`+t.domain)),r.parse(t),r.initialize(),r}e.storeFactory=v,u.default.nodeEvaluator=g.getInstance().evaluateNode.bind(g.getInstance())},5662:function(t,e){Object.defineProperty(e,"__esModule",{value:!0}),e.CustomGenerators=e.ContextFunctions=e.CustomStrings=e.CustomQueries=void 0;class r{constructor(t,e){this.prefix=t,this.store=e}add(t,e){this.checkCustomFunctionSyntax_(t)&&(this.store[t]=e)}addStore(r){var n=Object.keys(r.store);for(let t,e=0;t=n[e];e++)this.add(t,r.store[t])}lookup(t){return this.store[t]}checkCustomFunctionSyntax_(t){var e=new RegExp("^"+this.prefix);return!!t.match(e)||(console.error("FunctionError: Invalid function name. Expected prefix "+this.prefix),!1)}}e.CustomQueries=class extends r{constructor(){super("CQF",{})}},e.CustomStrings=class extends r{constructor(){super("CSF",{})}},e.ContextFunctions=class extends r{constructor(){super("CTF",{})}},e.CustomGenerators=class extends r{constructor(){super("CGF",{})}}},365:function(t,e,r){Object.defineProperty(e,"__esModule",{value:!0}),e.contentIterator=e.pauseSeparator=e.nodeCounter=void 0;const i=r(7052),a=r(5274),s=r(5897);e.nodeCounter=function(t,e){const r=t.length;let n=0,o=e?e:"";return function(){return n<r&&(n+=1),o+" "+n}},e.pauseSeparator=function(t,e){const r=parseFloat(e),n=isNaN(r)?e:r;return function(){return[i.AuditoryDescription.create({text:"",personality:{pause:n}})]}},e.contentIterator=function(t,n){let o;return o=0<t.length?a.evalXPath("../../content/*",t[0]):[],function(){const t=o.shift(),e=n?[i.AuditoryDescription.create({text:n},{translate:!0})]:[];if(!t)return e;var r=s.default.evaluateNode(t);return 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r{constructor(t,e,r=t=>!1){this.name=t,this.apply=e,this.applicable=r}}e.SemanticAbstractHeuristic=r,e.SemanticTreeHeuristic=class extends r{},e.SemanticMultiHeuristic=class extends r{}},7516:function(t,o){Object.defineProperty(o,"__esModule",{value:!0}),o.lookup=o.run=o.add=o.blacklist=o.flags=o.updateFactory=o.factory=void 0,o.factory=null,o.updateFactory=function(t){o.factory=t};const r=new Map;function i(t){return r.get(t)}o.flags={combine_juxtaposition:!0,convert_juxtaposition:!0,multioperator:!0},o.blacklist={},o.add=function(t){var e=t.name;r.set(e,t),o.flags[e]||(o.flags[e]=!1)},o.run=function(t,e,r){const n=i(t);return n&&!o.blacklist[t]&&(o.flags[t]||n.applicable(e))?n.apply(e):r?r(e):e},o.lookup=i},94:function(t,e,r){Object.defineProperty(e,"__esModule",{value:!0});const c=r(2057),n=r(5897),i=r(3588),u=r(7516),o=r(9911),p=r(5609),l=r(3308),a=r(4795);function s(t,e,r){let n=null;if(!t.length)return n;const o=r[r.length-1],i=o&&o.length,a=e&&e.length,s=l.default.getInstance();if(i&&a){if("infixop"===e[0].type&&"implicit"===e[0].role)return n=t.pop(),o.push(s.postfixNode_(o.pop(),t)),n;n=t.shift();const r=s.prefixNode_(e.shift(),t);return e.unshift(r),n}return i?o.push(s.postfixNode_(o.pop(),t)):a&&e.unshift(s.prefixNode_(e.shift(),t)),n}u.add(new o.SemanticTreeHeuristic("combine_juxtaposition",function(r){for(let t,e=r.childNodes.length-1;t=r.childNodes[e];e--)p.isImplicitOp(t)&&!t.nobreaking&&(r.childNodes.splice(e,1,...t.childNodes),r.contentNodes.splice(e,0,...t.contentNodes),t.childNodes.concat(t.contentNodes).forEach(function(t){t.parent=r}),r.addMathmlNodes(t.mathml));return r})),u.add(new o.SemanticTreeHeuristic("propagateSimpleFunction",t=>("infixop"!==t.type&&"fraction"!==t.type||!t.childNodes.every(p.isSimpleFunction)||(t.role="composed function"),t),t=>"clearspeak"===n.default.getInstance().domain)),u.add(new o.SemanticTreeHeuristic("simpleNamedFunction",t=>("unit"!==t.role&&-1!==["f","g","h","F","G","H"].indexOf(t.textContent)&&(t.role="simple function"),t),t=>"clearspeak"===n.default.getInstance().domain)),u.add(new o.SemanticTreeHeuristic("propagateComposedFunction",t=>("fenced"===t.type&&"composed function"===t.childNodes[0].role&&(t.role="composed function"),t),t=>"clearspeak"===n.default.getInstance().domain)),u.add(new o.SemanticTreeHeuristic("multioperator",t=>{var e;"unknown"!==t.role||t.textContent.length<=1||(e=[...t.textContent].map(i.lookupMeaning).reduce(function(t,e){return t&&e.role&&"unknown"!==e.role&&e.role!==t?"unknown"===t?e.role:null:t},"unknown"))&&(t.role=e)})),u.add(new o.SemanticMultiHeuristic("convert_juxtaposition",n=>{let o=a.partitionNodes(n,function(t){return t.textContent===i.invisibleTimes()&&"operator"===t.type});n=(o=o.rel.length?function(t){const e=[],r=[];let n=t.comp.shift(),o=null,i=[];for(;t.comp.length;)if(i=[],n.length)o&&e.push(o),r.push(n),o=t.rel.shift(),n=t.comp.shift();else{for(o&&i.push(o);!n.length&&t.comp.length;)n=t.comp.shift(),i.push(t.rel.shift());o=s(i,n,r)}return i.length||n.length?(e.push(o),r.push(n)):(i.push(o),s(i,n,r)),{rel:e,comp:r}}(o):o).comp[0];for(let t,e,r=1;t=o.comp[r],e=o.rel[r-1];r++)n.push(e),n=n.concat(t);return(o=a.partitionNodes(n,function(t){return t.textContent===i.invisibleTimes()&&("operator"===t.type||"infixop"===t.type)})).rel.length?function t(e,r,n){if(!r.length)return e;const o=e.pop(),i=r.shift(),a=n.shift();if(p.isImplicitOp(i)){c.Debugger.getInstance().output("Juxta Heuristic Case 2");const u=(o?[o,i]:[i]).concat(a);return t(e.concat(u),r,n)}if(!o)return c.Debugger.getInstance().output("Juxta Heuristic Case 3"),t([i].concat(a),r,n);const s=a.shift();if(!s){c.Debugger.getInstance().output("Juxta Heuristic Case 9");const a=u.factory.makeBranchNode("infixop",[o,r.shift()],[i],i.textContent);return a.role="implicit",u.run("combine_juxtaposition",a),r.unshift(a),t(e,r,n)}if(p.isOperator(o)||p.isOperator(s))return c.Debugger.getInstance().output("Juxta Heuristic Case 4"),t(e.concat([o,i,s]).concat(a),r,n);let l=null;return p.isImplicitOp(o)&&p.isImplicitOp(s)?(c.Debugger.getInstance().output("Juxta Heuristic Case 5"),o.contentNodes.push(i),o.contentNodes=o.contentNodes.concat(s.contentNodes),o.childNodes.push(s),o.childNodes=o.childNodes.concat(s.childNodes),s.childNodes.forEach(t=>t.parent=o),(i.parent=o).addMathmlNodes(i.mathml),o.addMathmlNodes(s.mathml),l=o):p.isImplicitOp(o)?(c.Debugger.getInstance().output("Juxta Heuristic Case 6"),o.contentNodes.push(i),o.childNodes.push(s),s.parent=o,(i.parent=o).addMathmlNodes(i.mathml),o.addMathmlNodes(s.mathml),l=o):p.isImplicitOp(s)?(c.Debugger.getInstance().output("Juxta Heuristic Case 7"),s.contentNodes.unshift(i),s.childNodes.unshift(o),o.parent=s,(i.parent=s).addMathmlNodes(i.mathml),s.addMathmlNodes(o.mathml),l=s):(c.Debugger.getInstance().output("Juxta Heuristic Case 8"),(l=u.factory.makeBranchNode("infixop",[o,s],[i],i.textContent)).role="implicit"),e.push(l),t(e.concat(a),r,n)}(o.comp.shift(),o.rel,o.comp):n})),u.add(new o.SemanticTreeHeuristic("simple2prefix",t=>(1<t.textContent.length&&!t.textContent[0].match(/[A-Z]/)&&(t.role="prefix function"),t),t=>"braille"===n.default.getInstance().modality&&"identifier"===t.type)),u.add(new o.SemanticTreeHeuristic("detect_cycle",t=>{t.type="matrix",t.role="cycle";const e=t.childNodes[0];return e.type="row",e.role="cycle",e.textContent="",e.contentNodes=[],t},t=>"fenced"===t.type&&"infixop"===t.childNodes[0].type&&"implicit"===t.childNodes[0].role&&t.childNodes[0].childNodes.every(function(t){return"number"===t.type})&&t.childNodes[0].contentNodes.every(function(t){return"space"===t.role})))},7228:function(t,e,r){Object.defineProperty(e,"__esModule",{value:!0}),e.SemanticMathml=void 0;const c=r(5740),n=r(5250),o=r(5609),u=r(3308),p=r(4795);class i extends n.SemanticAbstractParser{constructor(){super("MathML"),this.parseMap_={SEMANTICS:this.semantics_.bind(this),MATH:this.rows_.bind(this),MROW:this.rows_.bind(this),MPADDED:this.rows_.bind(this),MSTYLE:this.rows_.bind(this),MFRAC:this.fraction_.bind(this),MSUB:this.limits_.bind(this),MSUP:this.limits_.bind(this),MSUBSUP:this.limits_.bind(this),MOVER:this.limits_.bind(this),MUNDER:this.limits_.bind(this),MUNDEROVER:this.limits_.bind(this),MROOT:this.root_.bind(this),MSQRT:this.sqrt_.bind(this),MTABLE:this.table_.bind(this),MLABELEDTR:this.tableLabeledRow_.bind(this),MTR:this.tableRow_.bind(this),MTD:this.tableCell_.bind(this),MS:this.text_.bind(this),MTEXT:this.text_.bind(this),MSPACE:this.space_.bind(this),"ANNOTATION-XML":this.text_.bind(this),MI:this.identifier_.bind(this),MN:this.number_.bind(this),MO:this.operator_.bind(this),MFENCED:this.fenced_.bind(this),MENCLOSE:this.enclosed_.bind(this),MMULTISCRIPTS:this.multiscripts_.bind(this),ANNOTATION:this.empty_.bind(this),NONE:this.empty_.bind(this),MACTION:this.action_.bind(this)};const e={type:"identifier",role:"numbersetletter",font:"double-struck"};["C","H","N","P","Q","R","Z","ℂ","ℍ","ℕ","ℙ","ℚ","ℝ","ℤ"].forEach((t=>this.getFactory().defaultMap.add(t,e)).bind(this))}static getAttribute_(t,e,r){if(!t.hasAttribute(e))return r;const n=t.getAttribute(e);return n.match(/^\s*$/)?null:n}parse(t){u.default.getInstance().setNodeFactory(this.getFactory());const e=c.toArray(t.childNodes),r=c.tagName(t),n=this.parseMap_[r],o=(n||this.dummy_.bind(this))(t,e);return p.addAttributes(o,t),-1===["MATH","MROW","MPADDED","MSTYLE","SEMANTICS"].indexOf(r)&&(o.mathml.unshift(t),o.mathmlTree=t),o}semantics_(t,e){return e.length?this.parse(e[0]):this.getFactory().makeEmptyNode()}rows_(t,e){const r=t.getAttribute("semantics");if(r&&r.match("bspr_"))return u.default.proof(t,r,this.parseList.bind(this));let n;return 1===(e=p.purgeNodes(e)).length?"empty"!==(n=this.parse(e[0])).type||n.mathmlTree||(n.mathmlTree=t):n=u.default.getInstance().row(this.parseList(e)),n.mathml.unshift(t),n}fraction_(t,e){if(!e.length)return this.getFactory().makeEmptyNode();var r=this.parse(e[0]),e=e[1]?this.parse(e[1]):this.getFactory().makeEmptyNode();return u.default.getInstance().fractionLikeNode(r,e,t.getAttribute("linethickness"),"true"===t.getAttribute("bevelled"))}limits_(t,e){return u.default.getInstance().limitNode(c.tagName(t),this.parseList(e))}root_(t,e){return e[1]?this.getFactory().makeBranchNode("root",[this.parse(e[1]),this.parse(e[0])],[]):this.sqrt_(t,e)}sqrt_(t,e){e=this.parseList(p.purgeNodes(e));return this.getFactory().makeBranchNode("sqrt",[u.default.getInstance().row(e)],[])}table_(t,e){const r=t.getAttribute("semantics");if(r&&r.match("bspr_"))return u.default.proof(t,r,this.parseList.bind(this));const n=this.getFactory().makeBranchNode("table",this.parseList(e),[]);return n.mathmlTree=t,u.default.tableToMultiline(n),n}tableRow_(t,e){const r=this.getFactory().makeBranchNode("row",this.parseList(e),[]);return r.role="table",r}tableLabeledRow_(t,e){if(!e.length)return this.tableRow_(t,e);const r=this.parse(e[0]),n=(r.role="label",this.getFactory().makeBranchNode("row",this.parseList(e.slice(1)),[r]));return n.role="table",n}tableCell_(t,e){e=this.parseList(p.purgeNodes(e)),e=e.length?1===e.length&&o.isType(e[0],"empty")?e:[u.default.getInstance().row(e)]:[];const r=this.getFactory().makeBranchNode("cell",e,[]);return r.role="table",r}space_(t,e){const r=t.getAttribute("width"),n=r&&r.match(/[a-z]*$/);if(!n)return this.empty_(t,e);var o=n[0],i=parseFloat(r.slice(0,n.index)),o={cm:.4,pc:.5,em:.5,ex:1,in:.15,pt:5,mm:5}[o];if(!o||isNaN(i)||i<o)return this.empty_(t,e);i=this.getFactory().makeUnprocessed(t);return u.default.getInstance().text(i,c.tagName(t))}text_(t,e){const r=this.leaf_(t,e);return t.textContent?(r.updateContent(t.textContent,!0),u.default.getInstance().text(r,c.tagName(t))):r}identifier_(t,e){e=this.leaf_(t,e);return u.default.getInstance().identifierNode(e,u.default.getInstance().font(t.getAttribute("mathvariant")),t.getAttribute("class"))}number_(t,e){t=this.leaf_(t,e);return u.default.number(t),t}operator_(t,e){t=this.leaf_(t,e);return u.default.getInstance().operatorNode(t),t}fenced_(t,e){var e=this.parseList(p.purgeNodes(e)),r=i.getAttribute_(t,"separators",","),n=i.getAttribute_(t,"open","("),t=i.getAttribute_(t,"close",")"),n=u.default.getInstance().mfenced(n,t,r,e);return u.default.getInstance().tablesInRow([n])[0]}enclosed_(t,e){const r=this.parseList(p.purgeNodes(e)),n=this.getFactory().makeBranchNode("enclose",[u.default.getInstance().row(r)],[]);return n.role=t.getAttribute("notation")||"unknown",n}multiscripts_(t,r){if(!r.length)return this.getFactory().makeEmptyNode();var e=this.parse(r.shift());if(!r.length)return e;const n=[],o=[],i=[],a=[];let s=!1,l=0;for(let t,e=0;t=r[e];e++)"MPRESCRIPTS"!==c.tagName(t)?((s?1&l?n:o:1&l?i:a).push(t),l++):(s=!0,l=0);return p.purgeNodes(n).length||p.purgeNodes(o).length?u.default.getInstance().tensor(e,this.parseList(o),this.parseList(n),this.parseList(a),this.parseList(i)):u.default.getInstance().pseudoTensor(e,this.parseList(a),this.parseList(i))}empty_(t,e){return this.getFactory().makeEmptyNode()}action_(t,e){return 1<e.length?this.parse(e[1]):this.getFactory().makeUnprocessed(t)}dummy_(t,e){const r=this.getFactory().makeUnprocessed(t);return r.role=t.tagName,r.textContent=t.textContent,r}leaf_(t,e){if(1!==e.length||e[0].nodeType===c.NodeType.TEXT_NODE)return this.getFactory().makeLeafNode(t.textContent,u.default.getInstance().font(t.getAttribute("mathvariant")));{const r=this.getFactory().makeUnprocessed(t);return r.role=e[0].tagName,p.addAttributes(r,e[0]),r}}}e.SemanticMathml=i},5952:function(t,e,r){Object.defineProperty(e,"__esModule",{value:!0}),e.SemanticNode=void 0;const n=r(5740),o=r(3588),i=r(4795);class a{constructor(t){this.id=t,this.mathml=[],this.parent=null,this.type="unknown",this.role="unknown",this.font="unknown",this.embellished=null,this.fencePointer="",this.childNodes=[],this.textContent="",this.mathmlTree=null,this.contentNodes=[],this.annotation={},this.attributes={},this.nobreaking=!1}static fromXml(t){const e=parseInt(t.getAttribute("id"),10),r=new a(e);return r.type=t.tagName,a.setAttribute(r,t,"role"),a.setAttribute(r,t,"font"),a.setAttribute(r,t,"embellished"),a.setAttribute(r,t,"fencepointer","fencePointer"),t.getAttribute("annotation")&&r.parseAnnotation(t.getAttribute("annotation")),i.addAttributes(r,t),a.processChildren(r,t),r}static setAttribute(t,e,r,n){n=n||r;e=e.getAttribute(r);e&&(t[n]=e)}static processChildren(e,t){for(const r of n.toArray(t.childNodes))if(r.nodeType===n.NodeType.TEXT_NODE)e.textContent=r.textContent;else{const t=n.toArray(r.childNodes).map(a.fromXml);t.forEach(t=>t.parent=e),"CONTENT"===n.tagName(r)?e.contentNodes=t:e.childNodes=t}}querySelectorAll(r){let n=[];for(let t,e=0;t=this.childNodes[e];e++)n=n.concat(t.querySelectorAll(r));for(let t,e=0;t=this.contentNodes[e];e++)n=n.concat(t.querySelectorAll(r));return r(this)&&n.unshift(this),n}xml(o,i){function t(t,e){const r=e.map(function(t){return t.xml(o,i)}),n=o.createElementNS("",t);for(let t,e=0;t=r[e];e++)n.appendChild(t);return n}const e=o.createElementNS("",this.type);return i||this.xmlAttributes(e),e.textContent=this.textContent,0<this.contentNodes.length&&e.appendChild(t("content",this.contentNodes)),0<this.childNodes.length&&e.appendChild(t("children",this.childNodes)),e}toString(t=!1){var e=n.parseInput("<snode/>");return n.serializeXml(this.xml(e,t))}allAttributes(){const t=[];return t.push(["role",this.role]),"unknown"!==this.font&&t.push(["font",this.font]),Object.keys(this.annotation).length&&t.push(["annotation",this.xmlAnnotation()]),this.embellished&&t.push(["embellished",this.embellished]),this.fencePointer&&t.push(["fencepointer",this.fencePointer]),t.push(["id",this.id.toString()]),t}xmlAnnotation(){const e=[];for(const r in this.annotation)this.annotation[r].forEach(function(t){e.push(r+":"+t)});return e.join(";")}toJson(){const r={};r.type=this.type;var n=this.allAttributes();for(let t,e=0;t=n[e];e++)r[t[0]]=t[1].toString();return this.textContent&&(r.$t=this.textContent),this.childNodes.length&&(r.children=this.childNodes.map(function(t){return t.toJson()})),this.contentNodes.length&&(r.content=this.contentNodes.map(function(t){return t.toJson()})),r}updateContent(t,e){var e=e?t.replace(/^[ \f\n\r\t\v\u200b]*/,"").replace(/[ \f\n\r\t\v\u200b]*$/,""):t.trim();this.textContent!==(t=t&&!e?t:e)&&(e=(0,o.lookupMeaning)(t),this.textContent=t,this.role=e.role,this.type=e.type,this.font=e.font)}addMathmlNodes(r){for(let t,e=0;t=r[e];e++)-1===this.mathml.indexOf(t)&&this.mathml.push(t)}appendChild(t){this.childNodes.push(t),this.addMathmlNodes(t.mathml),t.parent=this}replaceChild(e,r){var t,n=this.childNodes.indexOf(e);-1!==n&&(e.parent=null,(r.parent=this).childNodes[n]=r,n=e.mathml.filter(function(t){return-1===r.mathml.indexOf(t)}),t=r.mathml.filter(function(t){return-1===e.mathml.indexOf(t)}),this.removeMathmlNodes(n),this.addMathmlNodes(t))}appendContentNode(t){t&&(this.contentNodes.push(t),this.addMathmlNodes(t.mathml),t.parent=this)}removeContentNode(t){t&&-1!==(t=this.contentNodes.indexOf(t))&&this.contentNodes.slice(t,1)}equals(n){if(!n)return!1;if(this.type!==n.type||this.role!==n.role||this.textContent!==n.textContent||this.childNodes.length!==n.childNodes.length||this.contentNodes.length!==n.contentNodes.length)return!1;for(let t,e,r=0;t=this.childNodes[r],e=n.childNodes[r];r++)if(!t.equals(e))return!1;for(let t,e,r=0;t=this.contentNodes[r],e=n.contentNodes[r];r++)if(!t.equals(e))return!1;return!0}displayTree(){console.info(this.displayTree_(0))}addAnnotation(t,e){e&&this.addAnnotation_(t,e)}getAnnotation(t){return this.annotation[t]||[]}hasAnnotation(t,e){const r=this.annotation[t];return!!r&&-1!==r.indexOf(e)}parseAnnotation(t){const r=t.split(";");for(let t=0,e=r.length;t<e;t++){var n=r[t].split(":");this.addAnnotation(n[0],n[1])}}meaning(){return{type:this.type,role:this.role,font:this.font}}xmlAttributes(r){var n=this.allAttributes();for(let t,e=0;t=n[e];e++)r.setAttribute(t[0],t[1]);this.addExternalAttributes(r)}addExternalAttributes(t){for(const e in this.attributes)t.setAttribute(e,this.attributes[e])}removeMathmlNodes(r){const n=this.mathml;for(let t,e=0;t=r[e];e++){const r=n.indexOf(t);-1!==r&&n.splice(r,1)}this.mathml=n}displayTree_(e){e++;var r=Array(e).join("  ");let n="";n=(n=n+("\n"+r+this.toString())+"\n"+r+"MathmlTree:")+"\n"+r+this.mathmlTreeString()+"\n"+r+"MathML:";for(let t,e=0;t=this.mathml[e];e++)n+="\n"+r+t.toString();return n+="\n"+r+"Begin Content",this.contentNodes.forEach(function(t){n+=t.displayTree_(e)}),n=n+("\n"+r+"End Content")+("\n"+r+"Begin Children"),this.childNodes.forEach(function(t){n+=t.displayTree_(e)}),n+="\n"+r+"End Children"}mathmlTreeString(){return this.mathmlTree?this.mathmlTree.toString():"EMPTY"}addAnnotation_(t,e){const r=this.annotation[t];r?r.push(e):this.annotation[t]=[e]}}e.SemanticNode=a},6537:function(t,e,r){Object.defineProperty(e,"__esModule",{value:!0}),e.SemanticNodeFactory=void 0;const n=r(8158),o=r(8158),i=r(5952);e.SemanticNodeFactory=class{constructor(){this.leafMap=new o.SemanticNodeCollator,this.defaultMap=new n.SemanticDefault,this.idCounter_=-1}makeNode(t){return this.createNode_(t)}makeUnprocessed(t){const e=this.createNode_();return e.mathml=[t],e.mathmlTree=t,e}makeEmptyNode(){const t=this.createNode_();return t.type="empty",t}makeContentNode(t){const e=this.createNode_();return e.updateContent(t),e}makeMultipleContentNodes(e,r){const n=[];for(let t=0;t<e;t++)n.push(this.makeContentNode(r));return n}makeLeafNode(t,e){if(!t)return this.makeEmptyNode();const 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e=t.childNodes[0];c.isNeutralFence(t)?e.role="determinant":e.role="squarematrix"}static getComponentRoles_(t){var e=t.role;return e&&"unknown"!==e?e:t.type.toLowerCase()||"unknown"}static tableToCases_(r,t){for(let t,e=0;t=r.childNodes[e];e++)y.assignRoleToRow_(t,"cases");return r.type="cases",r.appendContentNode(t),c.tableIsMultiline(r)&&y.binomialForm_(r),r}static rewriteFencedLine_(t){const e=t.childNodes[0],r=t.childNodes[0].childNodes[0],n=t.childNodes[0].childNodes[0].childNodes[0];return r.parent=t.parent,t.parent=r,n.parent=e,r.childNodes=[t],e.childNodes=[n],r}static rowToLine_(e,t){t=t||"unknown";c.isType(e,"row")&&(e.type="line",e.role=t,1===e.childNodes.length&&c.isType(e.childNodes[0],"cell")&&(e.childNodes=e.childNodes[0].childNodes,e.childNodes.forEach(function(t){t.parent=e})))}static assignRoleToRow_(t,e){c.isType(t,"line")?t.role=e:c.isType(t,"row")&&(t.role=e,t.childNodes.forEach(function(t){c.isType(t,"cell")&&(t.role=e)}))}static nextSeparatorFunction_(t){let e;if(t){if(t.match(/^\s+$/))return null;e=t.replace(/\s/g,"").split("").filter(function(t){return t})}else e=[","];return function(){return 1<e.length?e.shift():e[0]}}static numberRole_(t){if("unknown"===t.role){const e=[...t.textContent].filter(t=>t.match(/[^\s]/)),r=e.map(s.lookupMeaning);if(r.every(function(t){return"number"===t.type&&"integer"===t.role||"punctuation"===t.type&&"comma"===t.role}))return t.role="integer",void("0"===e[0]&&t.addAnnotation("general","basenumber"));r.every(function(t){return"number"===t.type&&"integer"===t.role||"punctuation"===t.type})?t.role="float":t.role="othernumber"}}static exprFont_(t){var e;"unknown"===t.font&&(e=[...t.textContent].map(s.lookupMeaning).reduce(function(t,e){return t&&e.font&&"unknown"!==e.font&&e.font!==t?"unknown"===t?e.font:null:t},"unknown"))&&(t.font=e)}static purgeFences_(e){const r=e.rel,n=e.comp,o=[],i=[];for(;0<r.length;){const e=r.shift();let 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n.appendChild(r),t}appendMultiplicativeOp_(t,e,r){if(c.isImplicit(t))return y.getInstance().infixNode_([t,r],e);let n=t,o=t.childNodes[t.childNodes.length-1];for(;o&&"infixop"===o.type&&!c.isImplicit(o);)o=(n=o).childNodes[t.childNodes.length-1];r=y.getInstance().infixNode_([n.childNodes.pop(),r],e);return n.appendChild(r),t}appendAdditiveOp_(t,e,r){return y.getInstance().infixNode_([t,r],e)}appendExistingOperator_(t,e,r){return!(!t||"infixop"!==t.type||c.isImplicit(t))&&(t.contentNodes[0].equals(e)?(t.appendContentNode(e),t.appendChild(r),!0):y.getInstance().appendExistingOperator_(t.childNodes[t.childNodes.length-1],e,r))}getFencesInRow_(t){let e=u.partitionNodes(t,c.isFence);t=(e=y.purgeFences_(e)).comp.shift();return y.getInstance().fences_(e.rel,e.comp,[],[t])}fences_(t,e,r,n){if(0===t.length&&0===r.length)return n[0];const o=t=>c.isRole(t,"open");if(0===t.length){const t=n.shift();for(;0<r.length;){if(o(r[0])){const e=r.shift();y.fenceToPunct_(e),t.push(e)}else{const 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o=y.getInstance().combineFencedContent_(r,n.div,n.head,e);if(0<n.tail.length){const t=o.shift(),e=y.getInstance().neutralFences_(n.tail,o);return t.concat(e)}return o[0]}combineFencedContent_(t,e,r,n){if(0===r.length){const r=y.getInstance().horizontalFencedNode_(t,e,n.shift());return 0<n.length?n[0].unshift(r):n=[[r]],n}const o=n.shift(),i=r.length-1,a=n.slice(0,i),s=(n=n.slice(i)).shift(),l=y.getInstance().neutralFences_(r,a);o.push(...l),o.push(...s);r=y.getInstance().horizontalFencedNode_(t,e,o);return 0<n.length?n[0].unshift(r):n=[[r]],n}horizontalFencedNode_(t,e,r){r=y.getInstance().row(r);let n=y.getInstance().factory_.makeBranchNode("fenced",[r],[t,e]);return"open"===t.role?(y.getInstance().classifyHorizontalFence_(n),n=o.run("propagateComposedFunction",n)):n.role=t.role,n=o.run("detect_cycle",n),y.rewriteFencedNode_(n)}classifyHorizontalFence_(t){t.role="leftright";var e=t.childNodes;if(c.isSetNode(t)&&!(1<e.length))if(0===e.length||"empty"===e[0].type)t.role="set 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e=r[t-1];if(t===r.length-1)return!n(e);t=r[t+1];return!n(e)||!n(t)});if(0===t.rel.length)return r;const e=[];let o=t.comp.shift(),i=(0<o.length&&e.push(y.getInstance().row(o)),0);for(;0<t.comp.length;)e.push(t.rel[i++]),0<(o=t.comp.shift()).length&&e.push(y.getInstance().row(o));return[y.getInstance().punctuatedNode_(e,t.rel)]}punctuatedNode_(e,t){const r=y.getInstance().factory_.makeBranchNode("punctuated",e,t);if(t.length===e.length){const e=t[0].role;if("unknown"!==e&&t.every(function(t){return t.role===e}))return r.role=e,r}return c.singlePunctAtPosition(e,t,0)?r.role="startpunct":c.singlePunctAtPosition(e,t,e.length-1)?r.role="endpunct":t.every(t=>c.isRole(t,"dummy"))?r.role="text":t.every(t=>c.isRole(t,"space"))?r.role="space":r.role="sequence",r}dummyNode_(t){const e=y.getInstance().factory_.makeMultipleContentNodes(t.length-1,s.invisibleComma());return e.forEach(function(t){t.role="dummy"}),y.getInstance().punctuatedNode_(t,e)}accentRole_(t,e){if(!c.isAccent(t))return!1;var r=t.textContent,r=s.lookupSecondary("bar",r)||s.lookupSecondary("tilde",r)||t.role;return t.role="underscore"===e?"underaccent":"overaccent",t.addAnnotation("accent",r),!0}accentNode_(t,e,r,n,o){var i=(e=e.slice(0,n+1))[1],a=e[2];let s;if(!o&&a&&((s=y.getInstance().factory_.makeBranchNode("subscript",[t,i],[])).role="subsup",e=[s,a],r="superscript"),o){const n=y.getInstance().accentRole_(i,r);a&&(r=y.getInstance().accentRole_(a,"overscore")&&!n?(e=[s=y.getInstance().factory_.makeBranchNode("overscore",[t,a],[]),i],"underscore"):(e=[s=y.getInstance().factory_.makeBranchNode("underscore",[t,i],[]),a],"overscore"),s.role="underover")}return y.getInstance().makeLimitNode_(t,e,s,r)}makeLimitNode_(t,e,r,n){if("limupper"===n&&"limlower"===t.type)return t.childNodes.push(e[1]),(e[1].parent=t).type="limboth",t;if("limlower"===n&&"limupper"===t.type)return t.childNodes.splice(1,-1,e[1]),(e[1].parent=t).type="limboth",t;const 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r=t[0];if(c.isGeneralFunctionBoundary(r))return{integrand:e,intvar:null,rest:t};if(c.isIntegralDxBoundarySingle(r))return r.role="integral",{integrand:e,intvar:r,rest:t.slice(1)};if(t[1]&&c.isIntegralDxBoundary(r,t[1])){const n=y.getInstance().prefixNode_(t[1],[r]);return n.role="integral",{integrand:e,intvar:n,rest:t.slice(2)}}return e.push(t.shift()),y.getInstance().getIntegralArgs_(t,e)}functionNode_(t,e){const r=y.getInstance().factory_.makeContentNode(s.functionApplication()),n=y.getInstance().funcAppls[t.id];n&&(r.mathmlTree=n.mathmlTree,r.mathml=n.mathml,r.annotation=n.annotation,r.attributes=n.attributes,delete y.getInstance().funcAppls[t.id]),r.type="punctuation",r.role="application";var o=y.getFunctionOp_(t,function(t){return c.isType(t,"function")||c.isType(t,"identifier")&&c.isRole(t,"simple function")});return y.getInstance().functionalNode_("appl",[t,e],o,[r])}bigOpNode_(t,e){var r=y.getFunctionOp_(t,t=>c.isType(t,"largeop"));return 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l.makeSexp_(this.array)}populate_(r,t,n){if(l.simpleCollapseStructure(r))return this.levelsMap[r]=t,void(this.parents[r]=r===n[0]?n.slice(1):n);const o=l.contentCollapseStructure(r)?r.slice(1):r,i=[o[0]].concat(n);for(let t=0,e=o.length;t<e;t++){const n=o[t];this.populate_(n,r,i)}}isRoot(t){return t===this.levelsMap[t][0]}directChildren(t){return this.isRoot(t)?this.levelsMap[t].slice(1).map(t=>l.simpleCollapseStructure(t)?t:l.contentCollapseStructure(t)?t[1]:t[0]):[]}subtreeNodes(t){if(!this.isRoot(t))return[];const r=(t,e)=>{l.simpleCollapseStructure(t)?e.push(t):(t=l.contentCollapseStructure(t)?t.slice(1):t).forEach(t=>r(t,e))},e=this.levelsMap[t],n=[];return r(e.slice(1),n),n}}e.SemanticSkeleton=l},7075:function(t,e,r){Object.defineProperty(e,"__esModule",{value:!0}),e.SemanticTree=void 0;const n=r(5740),o=r(7630),i=r(9265),a=r(7228),s=r(5952),l=r(5609);r(94);class c{constructor(t){this.mathml=t,this.parser=new a.SemanticMathml,this.root=this.parser.parse(t),this.collator=this.parser.getFactory().leafMap.collateMeaning();var e=this.collator.newDefault();e&&(this.parser=new a.SemanticMathml,this.parser.getFactory().defaultMap=e,this.root=this.parser.parse(t)),u.visit(this.root,{}),(0,o.annotate)(this.root)}static empty(){const t=n.parseInput("<math/>"),e=new c(t);return e.mathml=t,e}static fromNode(t,e){const r=c.empty();return r.root=t,e&&(r.mathml=e),r}static fromRoot(t,e){let r=t;for(;r.parent;)r=r.parent;const n=c.fromNode(r);return e&&(n.mathml=e),n}static fromXml(t){const e=c.empty();return t.childNodes[0]&&(e.root=s.SemanticNode.fromXml(t.childNodes[0])),e}xml(t){const e=n.parseInput("<stree></stree>"),r=this.root.xml(e.ownerDocument,t);return e.appendChild(r),e}toString(t){return n.serializeXml(this.xml(t))}formatXml(t){t=this.toString(t);return n.formatXml(t)}displayTree(){this.root.displayTree()}replaceNode(t,e){const r=t.parent;r?r.replaceChild(t,e):this.root=e}toJson(){const t={};return t.stree=this.root.toJson(),t}}e.SemanticTree=c;const u=new i.SemanticVisitor("general","unit",(t,e)=>{if("infixop"===t.type&&("multiplication"===t.role||"implicit"===t.role)){const e=t.childNodes;e.length&&(l.isPureUnit(e[0])||l.isUnitCounter(e[0]))&&t.childNodes.slice(1).every(l.isPureUnit)&&(t.role="unit")}return!1})},4795:function(t,o,e){Object.defineProperty(o,"__esModule",{value:!0}),o.partitionNodes=o.sliceNodes=o.getEmbellishedInner=o.addAttributes=o.isZeroLength=o.purgeNodes=o.isOrphanedGlyph=o.hasDisplayTag=o.hasEmptyTag=o.hasIgnoreTag=o.hasLeafTag=o.hasMathTag=o.directSpeechKeys=o.DISPLAYTAGS=o.EMPTYTAGS=o.IGNORETAGS=o.LEAFTAGS=void 0;const i=e(5740);function r(t){return!!t&&-1!==o.LEAFTAGS.indexOf(i.tagName(t))}function a(r,n,o){o&&r.reverse();const i=[];for(let t,e=0;t=r[e];e++){if(n(t))return o?{head:r.slice(e+1).reverse(),div:t,tail:i.reverse()}:{head:i,div:t,tail:r.slice(e+1)};i.push(t)}return o?{head:[],div:null,tail:i.reverse()}:{head:i,div:null,tail:[]}}o.LEAFTAGS=["MO","MI","MN","MTEXT","MS","MSPACE"],o.IGNORETAGS=["MERROR","MPHANTOM","MALIGNGROUP","MALIGNMARK","MPRESCRIPTS","ANNOTATION","ANNOTATION-XML"],o.EMPTYTAGS=["MATH","MROW","MPADDED","MACTION","NONE","MSTYLE","SEMANTICS"],o.DISPLAYTAGS=["MROOT","MSQRT"],o.directSpeechKeys=["aria-label","exact-speech","alt"],o.hasMathTag=function(t){return!!t&&"MATH"===i.tagName(t)},o.hasLeafTag=r,o.hasIgnoreTag=function(t){return!!t&&-1!==o.IGNORETAGS.indexOf(i.tagName(t))},o.hasEmptyTag=function(t){return!!t&&-1!==o.EMPTYTAGS.indexOf(i.tagName(t))},o.hasDisplayTag=function(t){return!!t&&-1!==o.DISPLAYTAGS.indexOf(i.tagName(t))},o.isOrphanedGlyph=function(t){return!!t&&"MGLYPH"===i.tagName(t)&&!r(t.parentNode)},o.purgeNodes=function(r){const n=[];for(let t,e=0;t=r[e];e++)if(t.nodeType===i.NodeType.ELEMENT_NODE){const r=i.tagName(t);-1!==o.IGNORETAGS.indexOf(r)||-1!==o.EMPTYTAGS.indexOf(r)&&0===t.childNodes.length||n.push(t)}return n},o.isZeroLength=function(t){if(!t)return!1;if(-1!==["negativeveryverythinmathspace","negativeverythinmathspace","negativethinmathspace","negativemediummathspace","negativethickmathspace","negativeverythickmathspace","negativeveryverythickmathspace"].indexOf(t))return!0;t=t.match(/[0-9.]+/);return!!t&&0===parseFloat(t[0])},o.addAttributes=function(e,t){if(t.hasAttributes()){var r=t.attributes;for(let t=r.length-1;0<=t;t--){const n=r[t].name;n.match(/^ext/)&&(e.attributes[n]=r[t].value,e.nobreaking=!0),-1!==o.directSpeechKeys.indexOf(n)&&(e.attributes["ext-speech"]=r[t].value,e.nobreaking=!0),n.match(/texclass$/)&&(e.attributes.texclass=r[t].value),"href"===n&&(e.attributes.href=r[t].value,e.nobreaking=!0)}}},o.getEmbellishedInner=function t(e){return e&&e.embellished&&0<e.childNodes.length?t(e.childNodes[0]):e},o.sliceNodes=a,o.partitionNodes=function(t,e){let r=t;const n=[],o=[];for(var i;i=a(r,e),o.push(i.head),n.push(i.div),r=i.tail,i.div;);return n.pop(),{rel:n,comp:o}}},6278:function(t,e,r){Object.defineProperty(e,"__esModule",{value:!0}),e.AbstractSpeechGenerator=void 0;const n=r(6828),o=r(2298),i=r(1214),a=r(9543);e.AbstractSpeechGenerator=class{constructor(){this.modality=o.addPrefix("speech"),this.rebuilt_=null,this.options_={}}getRebuilt(){return this.rebuilt_}setRebuilt(t){this.rebuilt_=t}setOptions(t){this.options_=t||{},this.modality=o.addPrefix(this.options_.modality||"speech")}getOptions(){return this.options_}start(){}end(){}generateSpeech(t,e){return this.rebuilt_||(this.rebuilt_=new i.RebuildStree(e)),(0,n.setup)(this.options_),a.computeMarkup(this.getRebuilt().xml)}}},1452:function(t,e,r){Object.defineProperty(e,"__esModule",{value:!0}),e.AdhocSpeechGenerator=void 0;class n extends r(6278).AbstractSpeechGenerator{getSpeech(t,e){e=this.generateSpeech(t,e);return t.setAttribute(this.modality,e),e}}e.AdhocSpeechGenerator=n},5152:function(t,e,r){Object.defineProperty(e,"__esModule",{value:!0}),e.ColorGenerator=void 0;const n=r(2298),o=r(8396),i=r(1214),a=r(1204),s=r(6278);class l extends s.AbstractSpeechGenerator{constructor(){super(...arguments),this.modality=(0,n.addPrefix)("foreground"),this.contrast=new o.ContrastPicker}static visitStree_(e,r,n){if(e.childNodes.length){if(e.contentNodes.length&&("punctuated"===e.type&&e.contentNodes.forEach(t=>n[t.id]=!0),"implicit"!==e.role&&r.push(e.contentNodes.map(t=>t.id))),e.childNodes.length){if("implicit"===e.role){const o=[];let t=[];for(const r of e.childNodes){const e=[];l.visitStree_(r,e,n),e.length<=2&&o.push(e.shift()),t=t.concat(e)}return r.push(o),void t.forEach(t=>r.push(t))}e.childNodes.forEach(t=>l.visitStree_(t,r,n))}}else n[e.id]||r.push(e.id)}getSpeech(t,e){return a.getAttribute(t,this.modality)}generateSpeech(t,e){return this.getRebuilt()||this.setRebuilt(new i.RebuildStree(t)),this.colorLeaves_(t),a.getAttribute(t,this.modality)}colorLeaves_(e){const r=[];l.visitStree_(this.getRebuilt().streeRoot,r,{});for(const t of r){const r=this.contrast.generate();(Array.isArray(t)?t.map(t=>this.colorLeave_(e,t,r)).reduce((t,e)=>t||e,!1):this.colorLeave_(e,t.toString(),r))&&this.contrast.increment()}}colorLeave_(t,e,r){const n=a.getBySemanticId(t,e);return!!n&&(n.setAttribute(this.modality,r),!0)}}e.ColorGenerator=l},6604:function(t,e,r){Object.defineProperty(e,"__esModule",{value:!0}),e.DirectSpeechGenerator=void 0;const n=r(1204),o=r(6278);class i extends o.AbstractSpeechGenerator{getSpeech(t,e){return n.getAttribute(t,this.modality)}}e.DirectSpeechGenerator=i},3123:function(t,e,r){Object.defineProperty(e,"__esModule",{value:!0}),e.DummySpeechGenerator=void 0;class n extends r(6278).AbstractSpeechGenerator{getSpeech(t,e){return""}}e.DummySpeechGenerator=n},5858:function(t,e,r){Object.defineProperty(e,"__esModule",{value:!0}),e.NodeSpeechGenerator=void 0;const n=r(1204),o=r(4598);class i extends o.TreeSpeechGenerator{getSpeech(t,e){return super.getSpeech(t,e),n.getAttribute(t,this.modality)}}e.NodeSpeechGenerator=i},9552:function(t,e,r){Object.defineProperty(e,"__esModule",{value:!0}),e.generatorMapping_=e.generator=void 0;const n=r(1452),o=r(5152),i=r(6604),a=r(3123),s=r(5858),l=r(597),c=r(4598);e.generator=function(t){return(e.generatorMapping_[t]||e.generatorMapping_.Direct)()},e.generatorMapping_={Adhoc:()=>new n.AdhocSpeechGenerator,Color:()=>new o.ColorGenerator,Direct:()=>new i.DirectSpeechGenerator,Dummy:()=>new a.DummySpeechGenerator,Node:()=>new s.NodeSpeechGenerator,Summary:()=>new l.SummarySpeechGenerator,Tree:()=>new c.TreeSpeechGenerator}},9543:function(t,e,r){Object.defineProperty(e,"__esModule",{value:!0}),e.computeSummary_=e.retrieveSummary=e.connectAllMactions=e.connectMactions=e.nodeAtPosition_=e.computePrefix_=e.retrievePrefix=e.addPrefix=e.addModality=e.addSpeech=e.recomputeMarkup=e.computeMarkup=e.recomputeSpeech=e.computeSpeech=void 0;const n=r(8290),c=r(5740),o=r(5274),u=r(2298),i=r(2362),a=r(7075),p=r(1204);function s(t){return i.SpeechRuleEngine.getInstance().evaluateNode(t)}function l(t){return s(a.SemanticTree.fromNode(t).xml())}function h(t){t=l(t);return n.markup(t)}function d(t){t=f(t);return n.markup(t)}function f(t){const e=a.SemanticTree.fromRoot(t),r=o.evalXPath('.//*[@id="'+t.id+'"]',e.xml());let n=r[0];return(n=1<r.length?m(t,r)||n:n)?i.SpeechRuleEngine.getInstance().runInSetting({modality:"prefix",domain:"default",style:"default",strict:!0,speech:!0},function(){return i.SpeechRuleEngine.getInstance().evaluateNode(n)}):[]}function m(t,r){var e=r[0];if(!t.parent)return e;const n=[];for(;t;)n.push(t.id),t=t.parent;for(let t,e=0;t=r[e];e++)if(function(t,e){for(;e.length&&e.shift().toString()===t.getAttribute("id")&&t.parentNode&&t.parentNode.parentNode;)t=t.parentNode.parentNode;return!e.length}(t,n.slice()))return t;return e}function y(t){return t?i.SpeechRuleEngine.getInstance().runInSetting({modality:"summary",strict:!1,speech:!0},function(){return i.SpeechRuleEngine.getInstance().evaluateNode(t)}):[]}e.computeSpeech=s,e.recomputeSpeech=l,e.computeMarkup=function(t){t=s(t);return n.markup(t)},e.recomputeMarkup=h,e.addSpeech=function(t,e,r){r=c.querySelectorAllByAttrValue(r,"id",e.id.toString())[0],r=r?n.markup(s(r)):h(e);t.setAttribute(u.Attribute.SPEECH,r)},e.addModality=function(t,e,r){e=h(e);t.setAttribute(r,e)},e.addPrefix=function(t,e){e=d(e);e&&t.setAttribute(u.Attribute.PREFIX,e)},e.retrievePrefix=d,e.computePrefix_=f,e.nodeAtPosition_=m,e.connectMactions=function(r,t,n){const o=c.querySelectorAll(t,"maction");for(let e,t=0;e=o[t];t++){const 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0;const n=r(5897),a=r(4440),i=r(1676),s=r(1676),o=r(2780),l=r(2362);class c extends i.DynamicCstr{constructor(t,e){super(t),this.preference=e}static comparator(){return new p(n.default.getInstance().dynamicCstr,s.DynamicProperties.createProp([i.DynamicCstr.DEFAULT_VALUES[s.Axis.LOCALE]],[i.DynamicCstr.DEFAULT_VALUES[s.Axis.MODALITY]],[i.DynamicCstr.DEFAULT_VALUES[s.Axis.DOMAIN]],[i.DynamicCstr.DEFAULT_VALUES[s.Axis.STYLE]]))}static fromPreference(t){const r=t.split(":"),n={},o=u.getProperties(),i=Object.keys(o);for(let t,e=0;t=r[e];e++){const r=t.split("_");var a;-1!==i.indexOf(r[0])&&((a=r[1])&&a!==c.AUTO&&-1!==o[r[0]].indexOf(a)&&(n[r[0]]=r[1]))}return n}static toPreference(e){const r=Object.keys(e),n=[];for(let t=0;t<r.length;t++)n.push(r[t]+"_"+e[r[t]]);return n.length?n.join(":"):i.DynamicCstr.DEFAULT_VALUE}static getLocalePreferences(t){t=t||o.enumerate(l.SpeechRuleEngine.getInstance().enumerate());return c.getLocalePreferences_(t)}static smartPreferences(t,e){const r=c.getLocalePreferences()[e];if(!r)return[];const n=t.explorers.speech,o=c.relevantPreferences(n.walker.getFocus().getSemanticPrimary()),i=a.DOMAIN_TO_STYLES.clearspeak;return[{type:"radio",content:"No Preferences",id:"clearspeak-default",variable:"speechRules"},{type:"radio",content:"Current Preferences",id:"clearspeak-"+i,variable:"speechRules"},{type:"rule"},{type:"label",content:"Preferences for "+o},{type:"rule"}].concat(r[o].map(function(t){t=t.split("_");return{type:"radio",content:t[1],id:"clearspeak-"+c.addPreference(i,t[0],t[1]),variable:"speechRules"}}))}static relevantPreferences(t){var e=f[t.type];return e&&(e[t.role]||e[""])||"ImpliedTimes"}static findPreference(t,e){return"default"!==t&&c.fromPreference(t)[e]||c.AUTO}static addPreference(t,e,r){if("default"===t)return e+"_"+r;const n=c.fromPreference(t);return n[e]=r,c.toPreference(n)}static getLocalePreferences_(t){const e={};for(const r in t)if(t[r].speech&&t[r].speech.clearspeak){const n=Object.keys(t[r].speech.clearspeak),o=e[r]={};for(const t in u.getProperties()){const e=u.getProperties()[t],i=[t+"_Auto"];if(e)for(const a of e)-1!==n.indexOf(t+"_"+a)&&i.push(t+"_"+a);o[t]=i}}return e}equal(t){if(!super.equal(t))return!1;var r=Object.keys(this.preference),n=t.preference;if(r.length!==Object.keys(n).length)return!1;for(let t,e=0;t=r[e];e++)if(this.preference[t]!==n[t])return!1;return!0}}(e.ClearspeakPreferences=c).AUTO="Auto";const u=new s.DynamicProperties({AbsoluteValue:["Auto","AbsEnd","Cardinality","Determinant"],Bar:["Auto","Conjugate"],Caps:["Auto","SayCaps"],CombinationPermutation:["Auto","ChoosePermute"],Currency:["Auto","Position","Prefix"],Ellipses:["Auto","AndSoOn"],Enclosed:["Auto","EndEnclose"],Exponent:["Auto","AfterPower","Ordinal","OrdinalPower","Exponent"],Fraction:["Auto","EndFrac","FracOver","General","GeneralEndFrac","Ordinal","Over","OverEndFrac","Per"],Functions:["Auto","None","Reciprocal"],ImpliedTimes:["Auto","MoreImpliedTimes","None"],Log:["Auto","LnAsNaturalLog"],Matrix:["Auto","Combinatoric","EndMatrix","EndVector","SilentColNum","SpeakColNum","Vector"],MultiLineLabel:["Auto","Case","Constraint","Equation","Line","None","Row","Step"],MultiLineOverview:["Auto","None"],MultiLinePausesBetweenColumns:["Auto","Long","Short"],MultsymbolDot:["Auto","Dot"],MultsymbolX:["Auto","By","Cross"],Paren:["Auto","CoordPoint","Interval","Silent","Speak","SpeakNestingLevel"],Prime:["Auto","Angle","Length"],Roots:["Auto","PosNegSqRoot","PosNegSqRootEnd","RootEnd"],SetMemberSymbol:["Auto","Belongs","Element","Member","In"],Sets:["Auto","SilentBracket","woAll"],TriangleSymbol:["Auto","Delta"],Trig:["Auto","ArcTrig","TrigInverse","Reciprocal"],VerticalLine:["Auto","Divides","Given","SuchThat"]});class p extends s.DefaultComparator{constructor(t,e){super(t,e),this.preference=t instanceof c?t.preference:{}}match(r){if(!(r instanceof c))return super.match(r);if("default"===r.getComponents()[s.Axis.STYLE])return!0;var n=Object.keys(r.preference);for(let t,e=0;t=n[e];e++)if(this.preference[t]!==r.preference[t])return!1;return!0}compare(t,e){var r=super.compare(t,e);if(0!==r)return r;var r=t instanceof c,n=e instanceof c;if(!r&&n)return 1;if(r&&!n)return-1;if(!r&&!n)return 0;r=Object.keys(t.preference).length,n=Object.keys(e.preference).length;return n<r?-1:r<n?1:0}}e.Comparator=p;class h extends s.DynamicCstrParser{constructor(){super([s.Axis.LOCALE,s.Axis.MODALITY,s.Axis.DOMAIN,s.Axis.STYLE])}parse(t){const e=super.parse(t);let r=e.getValue(s.Axis.STYLE);var t=e.getValue(s.Axis.LOCALE),n=e.getValue(s.Axis.MODALITY);let o={};return r!==i.DynamicCstr.DEFAULT_VALUE&&(o=this.fromPreference(r),r=this.toPreference(o)),new c({locale:t,modality:n,domain:"clearspeak",style:r},o)}fromPreference(t){return c.fromPreference(t)}toPreference(t){return c.toPreference(t)}}e.Parser=h;const d=[["AbsoluteValue","fenced","neutral","metric"],["Bar","overscore","overaccent"],["Caps","identifier","latinletter"],["CombinationPermutation","appl","unknown"],["Ellipses","punctuation","ellipsis"],["Exponent","superscript",""],["Fraction","fraction",""],["Functions","appl","simple function"],["ImpliedTimes","operator","implicit"],["Log","appl","prefix function"],["Matrix","matrix",""],["Matrix","vector",""],["MultiLineLabel","multiline","label"],["MultiLineOverview","multiline","table"],["MultiLinePausesBetweenColumns","multiline","table"],["MultiLineLabel","table","label"],["MultiLineOverview","table","table"],["MultiLinePausesBetweenColumns","table","table"],["MultiLineLabel","cases","label"],["MultiLineOverview","cases","table"],["MultiLinePausesBetweenColumns","cases","table"],["MultsymbolDot","operator","multiplication"],["MultsymbolX","operator","multiplication"],["Paren","fenced","leftright"],["Prime","superscript","prime"],["Roots","root",""],["Roots","sqrt",""],["SetMemberSymbol","relation","element"],["Sets","fenced","set extended"],["TriangleSymbol","identifier","greekletter"],["Trig","appl","prefix function"],["VerticalLine","punctuated","vbar"]],f=function(){const r={};for(let e,t=0;e=d[t];t++){var n=e[0];let t=r[e[1]];t||(t={},r[e[1]]=t),t[e[2]]=n}return 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g.RebuildStree(this.getXml()),this.rootId=this.rebuilt_.stree.root.id.toString(),this.generator.setRebuilt(this.rebuilt_),this.skeleton=h.SemanticSkeleton.fromTree(this.rebuilt_.stree),this.skeleton.populate(),this.focus_=this.singletonFocus(this.rootId),this.levels=this.initLevels(),f.connectMactions(this.node,this.getXml(),this.rebuilt_.xml)}previousLevel(){var t=this.getFocus().getDomPrimary();return t?v.getAttribute(t,c.Attribute.PARENT):this.getFocus().getSemanticPrimary().parent.id.toString()}nextLevel(){var t=this.getFocus().getDomPrimary();let e,r;if(t){e=v.splitAttribute(v.getAttribute(t,c.Attribute.CHILDREN)),r=v.splitAttribute(v.getAttribute(t,c.Attribute.CONTENT));const n=v.getAttribute(t,c.Attribute.TYPE),o=v.getAttribute(t,c.Attribute.ROLE);return this.combineContentChildren(n,o,r,e)}const n=t=>t.id.toString(),o=this.getRebuilt().nodeDict[this.primaryId()];return e=o.childNodes.map(n),r=o.contentNodes.map(n),0===e.length?[]:this.combineContentChildren(o.type,o.role,r,e)}singletonFocus(t){this.getRebuilt();var e=this.retrieveVisuals(t);return this.focusFromId(t,e)}retrieveVisuals(t){if(!this.skeleton)return[t];const e=parseInt(t,10),r=this.skeleton.subtreeNodes(e);if(!r.length)return[t];r.unshift(e);const n={},o=[];_.updateEvaluator(this.getXml());for(const t of r)n[t]||(o.push(t.toString()),n[t]=!0,this.subtreeIds(t,n));return o}subtreeIds(t,e){t=_.evalXPath(`//*[@data-semantic-id="${t}"]`,this.getXml());_.evalXPath("*//@data-semantic-id",t[0]).forEach(t=>e[parseInt(t.textContent,10)]=!0)}focusFromId(t,e){return y.Focus.factory(t,e,this.getRebuilt(),this.node)}summary(){return this.moved=this.isSpeech()?b.WalkerMoves.SUMMARY:b.WalkerMoves.REPEAT,this.getFocus().clone()}detail(){return this.moved=this.isSpeech()?b.WalkerMoves.DETAIL:b.WalkerMoves.REPEAT,this.getFocus().clone()}specialMove(){return null}virtualize(t){return this.cursors.push({focus:this.getFocus(),levels:this.levels,undo:t||!this.cursors.length}),this.levels=this.levels.clone(),this.getFocus().clone()}previous(){var t=this.cursors.pop();return t?(this.levels=t.levels,t.focus):this.getFocus()}undo(){let t;for(;(t=this.cursors.pop())&&!t.undo;);return t?(this.levels=t.levels,t.focus):this.getFocus()}update(t){this.generator.setOptions(t),(0,s.setup)(t).then(()=>d.generator("Tree").getSpeech(this.node,this.getXml()))}nextRules(){const t=this.generator.getOptions();return"speech"!==t.modality?this.getFocus():(n.DOMAIN_TO_STYLES[t.domain]=t.style,t.domain="mathspeak"===t.domain?"clearspeak":"mathspeak",t.style=n.DOMAIN_TO_STYLES[t.domain],this.update(t),this.moved=b.WalkerMoves.REPEAT,this.getFocus().clone())}nextStyle(t,e){if("mathspeak"===t){const t=["default","brief","sbrief"],n=t.indexOf(e);return-1===n?e:n>=t.length-1?t[0]:t[n+1]}if("clearspeak"!==t)return e;{const t=m.ClearspeakPreferences.getLocalePreferences().en;if(!t)return"default";const o=m.ClearspeakPreferences.relevantPreferences(this.getFocus().getSemanticPrimary()),i=m.ClearspeakPreferences.findPreference(e,o),a=t[o].map(function(t){return t.split("_")[1]}),s=a.indexOf(i);if(-1===s)return e;var r=s>=a.length-1?a[0]:a[s+1];return m.ClearspeakPreferences.addPreference(e,o,r)}}previousRules(){const t=this.generator.getOptions();return"speech"!==t.modality?this.getFocus():(t.style=this.nextStyle(t.domain,t.style),this.update(t),this.moved=b.WalkerMoves.REPEAT,this.getFocus().clone())}refocus(){let t,e=this.getFocus();for(;!e.getNodes().length;){t=this.levels.peek();var r=this.up();if(!r)break;this.setFocus(r),e=this.getFocus(!0)}this.levels.push(t),this.setFocus(e)}toggleActive_(){this.active_=!this.active_}mergePrefix_(t,e=[]){var r=this.isSpeech()?this.prefix_():"",r=(r&&t.unshift(r),this.isSpeech()?this.postfix_():"");return r&&t.push(r),i.finalize(i.merge(e.concat(t)))}prefix_(){var t=this.getFocus().getDomNodes(),e=this.getFocus().getSemanticNodes();return t[0]?v.getAttribute(t[0],c.Attribute.PREFIX):f.retrievePrefix(e[0])}postfix_(){var t=this.getFocus().getDomNodes();return t[0]?v.getAttribute(t[0],c.Attribute.POSTFIX):""}depth_(){var t=p.Grammar.getInstance().getParameter("depth"),e=(p.Grammar.getInstance().setParameter("depth",!0),this.getFocus().getDomPrimary()),e=this.expandable(e)?u.LOCALE.MESSAGES.navigate.EXPANDABLE:this.collapsible(e)?u.LOCALE.MESSAGES.navigate.COLLAPSIBLE:"",r=u.LOCALE.MESSAGES.navigate.LEVEL+" "+this.getDepth(),n=this.getFocus().getSemanticNodes(),n=f.retrievePrefix(n[0]),r=[new o.AuditoryDescription({text:r,personality:{}}),new o.AuditoryDescription({text:n,personality:{}}),new o.AuditoryDescription({text:e,personality:{}})];return p.Grammar.getInstance().setParameter("depth",t),i.finalize(i.markup(r))}actionable_(t){t=null==t?void 0:t.parentNode;return t&&this.highlighter.isMactionNode(t)?t:null}summary_(){var t=this.getFocus().getSemanticPrimary().id.toString(),t=this.getRebuilt().xml.getAttribute("id")===t?this.getRebuilt().xml:a.querySelectorAllByAttrValue(this.getRebuilt().xml,"id",t)[0],t=f.retrieveSummary(t);return this.mergePrefix_([t])}detail_(){const t=this.getFocus().getSemanticPrimary().id.toString(),e=this.getRebuilt().xml.getAttribute("id")===t?this.getRebuilt().xml:a.querySelectorAllByAttrValue(this.getRebuilt().xml,"id",t)[0],r=e.getAttribute("alternative");e.removeAttribute("alternative");var n=f.computeMarkup(e),n=this.mergePrefix_([n]);return e.setAttribute("alternative",r),n}}(e.AbstractWalker=S).ID_COUNTER=0,S.SRE_ID_ATTR="sre-explorer-id"},162:function(t,e,r){Object.defineProperty(e,"__esModule",{value:!0}),e.DummyWalker=void 0;class n extends r(3284).AbstractWalker{up(){return null}down(){return null}left(){return null}right(){return null}repeat(){return null}depth(){return null}home(){return null}getDepth(){return 0}initLevels(){return null}combineContentChildren(t,e,r,n){return[]}findFocusOnLevel(t){return null}}e.DummyWalker=n},7730:function(t,e,r){Object.defineProperty(e,"__esModule",{value:!0}),e.Focus=void 0;const p=r(1204);class h{constructor(t,e){this.nodes=t,this.primary=e,this.domNodes=[],this.domPrimary_=null,this.allNodes=[]}static factory(t,e,r,n){const o=t=>p.getBySemanticId(n,t),i=r.nodeDict,a=o(t),s=e.map(o),l=e.map(function(t){return i[t]}),c=new h(l,i[t]);return c.domNodes=s,c.domPrimary_=a,c.allNodes=h.generateAllVisibleNodes_(e,s,i,n),c}static generateAllVisibleNodes_(r,n,o,i){var a=t=>p.getBySemanticId(i,t);let s=[];for(let t=0,e=r.length;t<e;t++)if(n[t])s.push(n[t]);else{const l=o[r[t]];if(l){const c=l.childNodes.map(function(t){return t.id.toString()}),u=c.map(a);s=s.concat(h.generateAllVisibleNodes_(c,u,o,i))}}return s}getSemanticPrimary(){return this.primary}getSemanticNodes(){return this.nodes}getNodes(){return this.allNodes}getDomNodes(){return this.domNodes}getDomPrimary(){return this.domPrimary_}toString(){return"Primary:"+this.domPrimary_+" Nodes:"+this.domNodes}clone(){const t=new h(this.nodes,this.primary);return t.domNodes=this.domNodes,t.domPrimary_=this.domPrimary_,t.allNodes=this.allNodes,t}}e.Focus=h},9797:function(t,e){Object.defineProperty(e,"__esModule",{value:!0}),e.Levels=void 0;e.Levels=class r{constructor(){this.level_=[]}push(t){this.level_.push(t)}pop(){return this.level_.pop()}peek(){return this.level_[this.level_.length-1]||null}indexOf(t){const e=this.peek();return e?e.indexOf(t):null}find(r){var n=this.peek();if(!n)return null;for(let t=0,e=n.length;t<e;t++)if(r(n[t]))return n[t];return null}get(t){var e=this.peek();return!e||t<0||t>=e.length?null:e[t]}depth(){return this.level_.length}clone(){const t=new r;return t.level_=this.level_.slice(0),t}toString(){let r="";for(let t,e=0;t=this.level_[e];e++)r+="\n"+t.map(function(t){return t.toString()});return r}}},1214:function(t,e,r){Object.defineProperty(e,"__esModule",{value:!0}),e.RebuildStree=void 0;const n=r(5740),c=r(2298),o=r(3588),i=r(6537),a=r(3308),s=r(5656),l=r(7075),u=r(4795),p=r(1204);class h{constructor(t){this.mathml=t,this.factory=new i.SemanticNodeFactory,this.nodeDict={},this.mmlRoot=p.getSemanticRoot(t),this.streeRoot=this.assembleTree(this.mmlRoot),this.stree=l.SemanticTree.fromNode(this.streeRoot,this.mathml),this.xml=this.stree.xml(),a.default.getInstance().setNodeFactory(this.factory)}static addAttributes(t,e,r){r&&1===e.childNodes.length&&e.childNodes[0].nodeType!==n.NodeType.TEXT_NODE&&u.addAttributes(t,e.childNodes[0]),u.addAttributes(t,e)}static textContent(t,e,r){!r&&e.textContent?t.textContent=e.textContent:1<(r=p.splitAttribute(p.getAttribute(e,c.Attribute.OPERATOR))).length&&(t.textContent=r[1])}static isPunctuated(t){return!s.SemanticSkeleton.simpleCollapseStructure(t)&&t[1]&&s.SemanticSkeleton.contentCollapseStructure(t[1])}getTree(){return this.stree}assembleTree(t){const e=this.makeNode(t),r=p.splitAttribute(p.getAttribute(t,c.Attribute.CHILDREN)),n=p.splitAttribute(p.getAttribute(t,c.Attribute.CONTENT));if(h.addAttributes(e,t,!(r.length||n.length)),0===n.length&&0===r.length)return h.textContent(e,t),e;if(0<n.length){const t=p.getBySemanticId(this.mathml,n[0]);t&&h.textContent(e,t,!0)}e.contentNodes=n.map(t=>this.setParent(t,e)),e.childNodes=r.map(t=>this.setParent(t,e));t=p.getAttribute(t,c.Attribute.COLLAPSED);return t?this.postProcess(e,t):e}makeNode(t){const e=p.getAttribute(t,c.Attribute.TYPE),r=p.getAttribute(t,c.Attribute.ROLE),n=p.getAttribute(t,c.Attribute.FONT),o=p.getAttribute(t,c.Attribute.ANNOTATION)||"",i=p.getAttribute(t,c.Attribute.ID),a=p.getAttribute(t,c.Attribute.EMBELLISHED),s=p.getAttribute(t,c.Attribute.FENCEPOINTER),l=this.createNode(parseInt(i,10));return l.type=e,l.role=r,l.font=n||"unknown",l.parseAnnotation(o),s&&(l.fencePointer=s),a&&(l.embellished=a),l}makePunctuation(t){const e=this.createNode(t);return e.updateContent((0,o.invisibleComma)()),e.role="dummy",e}makePunctuated(t,e,r){const n=this.createNode(e[0]),o=(n.type="punctuated",n.embellished=t.embellished,n.fencePointer=t.fencePointer,n.role=r,e.splice(1,1)[0].slice(1));n.contentNodes=o.map(this.makePunctuation.bind(this)),this.collapsedChildren_(e)}makeEmpty(t,e,r){const n=this.createNode(e);n.type="empty",n.embellished=t.embellished,n.fencePointer=t.fencePointer,n.role=r}makeIndex(t,e,r){if(h.isPunctuated(e))return this.makePunctuated(t,e,r),void e[0];s.SemanticSkeleton.simpleCollapseStructure(e)&&!this.nodeDict[e.toString()]&&this.makeEmpty(t,e,r)}postProcess(t,e){const r=s.SemanticSkeleton.fromString(e).array;if("subsup"===t.type){const e=this.createNode(r[1][0]);return e.type="subscript",e.role="subsup",t.type="superscript",e.embellished=t.embellished,e.fencePointer=t.fencePointer,this.makeIndex(t,r[1][2],"rightsub"),this.makeIndex(t,r[2],"rightsuper"),this.collapsedChildren_(r),t}if("subscript"===t.type)return this.makeIndex(t,r[2],"rightsub"),this.collapsedChildren_(r),t;if("superscript"===t.type)return this.makeIndex(t,r[2],"rightsuper"),this.collapsedChildren_(r),t;if("tensor"===t.type)return this.makeIndex(t,r[2],"leftsub"),this.makeIndex(t,r[3],"leftsuper"),this.makeIndex(t,r[4],"rightsub"),this.makeIndex(t,r[5],"rightsuper"),this.collapsedChildren_(r),t;if("punctuated"===t.type){if(h.isPunctuated(r)){const e=r.splice(1,1)[0].slice(1);t.contentNodes=e.map(this.makePunctuation.bind(this))}return t}if("underover"!==t.type)return t;{const e=this.createNode(r[1][0]);return"overaccent"===t.childNodes[1].role?(e.type="overscore",t.type="underscore"):(e.type="underscore",t.type="overscore"),e.role="underover",e.embellished=t.embellished,e.fencePointer=t.fencePointer,this.collapsedChildren_(r),t}}createNode(t){var e=this.factory.makeNode(t);return this.nodeDict[t.toString()]=e}collapsedChildren_(t){const i=r=>{const n=this.nodeDict[r[0]];n.childNodes=[];for(let t=1,e=r.length;t<e;t++){var o=r[t];n.childNodes.push(s.SemanticSkeleton.simpleCollapseStructure(o)?this.nodeDict[o]:i(o))}return n};i(t)}setParent(t,e){const r=p.getBySemanticId(this.mathml,t),n=this.assembleTree(r);return n.parent=e,n}}e.RebuildStree=h},6295:function(t,e,r){Object.defineProperty(e,"__esModule",{value:!0}),e.SemanticWalker=void 0;const n=r(3284),o=r(9797);class i extends n.AbstractWalker{constructor(t,e,r,n){super(t,e,r,n),this.node=t,this.generator=e,this.highlighter=r,this.levels=null,this.restoreState()}initLevels(){const t=new o.Levels;return t.push([this.getFocus()]),t}up(){super.up();const e=this.previousLevel();return e?(this.levels.pop(),this.levels.find(function(t){return t.getSemanticNodes().some(function(t){return t.id.toString()===e})})):null}down(){super.down();var t=this.nextLevel();return 0===t.length?null:(this.levels.push(t),t[0])}combineContentChildren(t,e,r,n){switch(t){case"relseq":case"infixop":case"multirel":return this.makePairList(n,r);case"prefixop":return[this.focusFromId(n[0],r.concat(n))];case"postfixop":return[this.focusFromId(n[0],n.concat(r))];case"matrix":case"vector":case"fenced":return[this.focusFromId(n[0],[r[0],n[0],r[1]])];case"cases":return[this.focusFromId(n[0],[r[0],n[0]])];case"punctuated":return"text"===e?n.map(this.singletonFocus.bind(this)):n.length===r.length?r.map(this.singletonFocus.bind(this)):this.combinePunctuations(n,r,[],[]);case"appl":return[this.focusFromId(n[0],[n[0],r[0]]),this.singletonFocus(n[1])];case"root":return[this.singletonFocus(n[1]),this.singletonFocus(n[0])];default:return n.map(this.singletonFocus.bind(this))}}combinePunctuations(t,e,r,n){if(0===t.length)return n;var o=t.shift(),i=e.shift();return o===i?(r.push(i),this.combinePunctuations(t,e,r,n)):(e.unshift(i),r.push(o),t.length===e.length?(n.push(this.focusFromId(o,r.concat(e))),n):(n.push(this.focusFromId(o,r)),this.combinePunctuations(t,e,[],n)))}makePairList(r,n){if(0===r.length)return[];if(1===r.length)return[this.singletonFocus(r[0])];const o=[this.singletonFocus(r.shift())];for(let t=0,e=r.length;t<e;t++)o.push(this.focusFromId(r[t],[n[t],r[t]]));return o}left(){super.left();var t=this.levels.indexOf(this.getFocus());return null!==t&&this.levels.get(t-1)||null}right(){super.right();var t=this.levels.indexOf(this.getFocus());return null!==t&&this.levels.get(t+1)||null}findFocusOnLevel(e){return this.levels.find(t=>t.getSemanticPrimary().id===e)}}e.SemanticWalker=i},9806:function(t,e,r){Object.defineProperty(e,"__esModule",{value:!0}),e.SyntaxWalker=void 0;const o=r(707),n=r(3284),i=r(9797);class a extends n.AbstractWalker{constructor(t,e,r,n){super(t,e,r,n),this.node=t,this.generator=e,this.highlighter=r,this.levels=null,this.restoreState()}initLevels(){const t=new i.Levels;return t.push([this.primaryId()]),t}up(){super.up();var t=this.previousLevel();return t?(this.levels.pop(),this.singletonFocus(t)):null}down(){super.down();var t=this.nextLevel();if(0===t.length)return null;var e=this.singletonFocus(t[0]);return e&&this.levels.push(t),e}combineContentChildren(t,e,r,n){switch(t){case"relseq":case"infixop":case"multirel":return(0,o.interleaveLists)(n,r);case"prefixop":return r.concat(n);case"postfixop":return n.concat(r);case"matrix":case"vector":case"fenced":return n.unshift(r[0]),n.push(r[1]),n;case"cases":return n.unshift(r[0]),n;case"punctuated":return"text"===e?(0,o.interleaveLists)(n,r):n;case"appl":return[n[0],r[0],n[1]];case"root":return[n[1],n[0]];default:return n}}left(){super.left();var t=this.levels.indexOf(this.primaryId());if(null===t)return null;t=this.levels.get(t-1);return t?this.singletonFocus(t):null}right(){super.right();var t=this.levels.indexOf(this.primaryId());if(null===t)return null;t=this.levels.get(t+1);return t?this.singletonFocus(t):null}findFocusOnLevel(t){return this.singletonFocus(t.toString())}focusDomNodes(){return[this.getFocus().getDomPrimary()]}focusSemanticNodes(){return[this.getFocus().getSemanticPrimary()]}}e.SyntaxWalker=a},1799:function(t,e,r){Object.defineProperty(e,"__esModule",{value:!0}),e.TableWalker=void 0;const i=r(5740),o=r(8496),n=r(9806),a=r(179);class s extends n.SyntaxWalker{constructor(t,e,r,n){super(t,e,r,n),this.node=t,this.generator=e,this.highlighter=r,this.firstJump=null,this.key_=null,this.row_=0,this.currentTable_=null,this.keyMapping.set(o.KeyCode.ZERO,this.jumpCell.bind(this)),this.keyMapping.set(o.KeyCode.ONE,this.jumpCell.bind(this)),this.keyMapping.set(o.KeyCode.TWO,this.jumpCell.bind(this)),this.keyMapping.set(o.KeyCode.THREE,this.jumpCell.bind(this)),this.keyMapping.set(o.KeyCode.FOUR,this.jumpCell.bind(this)),this.keyMapping.set(o.KeyCode.FIVE,this.jumpCell.bind(this)),this.keyMapping.set(o.KeyCode.SIX,this.jumpCell.bind(this)),this.keyMapping.set(o.KeyCode.SEVEN,this.jumpCell.bind(this)),this.keyMapping.set(o.KeyCode.EIGHT,this.jumpCell.bind(this)),this.keyMapping.set(o.KeyCode.NINE,this.jumpCell.bind(this))}move(t){this.key_=t;t=super.move(t);return this.modifier=!1,t}up(){return this.moved=a.WalkerMoves.UP,this.eligibleCell_()?this.verticalMove_(!1):super.up()}down(){return this.moved=a.WalkerMoves.DOWN,this.eligibleCell_()?this.verticalMove_(!0):super.down()}jumpCell(){if(!this.isInTable_()||null===this.key_)return this.getFocus();if(this.moved===a.WalkerMoves.ROW){this.moved=a.WalkerMoves.CELL;const t=this.key_-o.KeyCode.ZERO;return this.isLegalJump_(this.row_,t)?this.jumpCell_(this.row_,t):this.getFocus()}const t=this.key_-o.KeyCode.ZERO;return t>this.currentTable_.childNodes.length?this.getFocus():(this.row_=t,this.moved=a.WalkerMoves.ROW,this.getFocus().clone())}undo(){var t=super.undo();return t===this.firstJump&&(this.firstJump=null),t}eligibleCell_(){var t=this.getFocus().getSemanticPrimary();return this.modifier&&"cell"===t.type&&-1!==s.ELIGIBLE_CELL_ROLES.indexOf(t.role)}verticalMove_(t){var e=this.previousLevel();if(!e)return null;var r=this.getFocus(),n=this.levels.indexOf(this.primaryId()),o=this.levels.pop(),e=this.levels.indexOf(e),t=this.levels.get(t?e+1:e-1);if(!t)return this.levels.push(o),null;this.setFocus(this.singletonFocus(t));e=this.nextLevel();return e[n]?(this.levels.push(e),this.singletonFocus(e[n])):(this.setFocus(r),this.levels.push(o),null)}jumpCell_(t,e){this.firstJump?this.virtualize(!1):(this.firstJump=this.getFocus(),this.virtualize(!0));var r=this.currentTable_.id.toString();let n;for(;-1===(n=this.levels.pop()).indexOf(r););this.levels.push(n),this.setFocus(this.singletonFocus(r)),this.levels.push(this.nextLevel());const o=this.currentTable_.childNodes[t-1];return this.setFocus(this.singletonFocus(o.id.toString())),this.levels.push(this.nextLevel()),this.singletonFocus(o.childNodes[e-1].id.toString())}isLegalJump_(t,e){const r=i.querySelectorAllByAttrValue(this.getRebuilt().xml,"id",this.currentTable_.id.toString())[0];if(!r||r.hasAttribute("alternative"))return!1;const n=this.currentTable_.childNodes[t-1];if(!n)return!1;const 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diff --git a/docs/deps/bootstrap-5.3.1/bootstrap.min.css b/docs/deps/bootstrap-5.3.1/bootstrap.min.css
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--- a/docs/deps/bootstrap-5.3.1/bootstrap.min.css
+++ b/docs/deps/bootstrap-5.3.1/bootstrap.min.css
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url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23052c65'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-focus-border-color: #86b7fe;--bs-accordion-btn-focus-box-shadow: 0 0 0 .25rem rgba(13,110,253,0.25);--bs-accordion-body-padding-x: 1.25rem;--bs-accordion-body-padding-y: 1rem;--bs-accordion-active-color: var(--bs-primary-text-emphasis);--bs-accordion-active-bg: var(--bs-primary-bg-subtle)}.accordion-button{position:relative;display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;width:100%;padding:var(--bs-accordion-btn-padding-y) var(--bs-accordion-btn-padding-x);font-size:1rem;color:var(--bs-accordion-btn-color);text-align:left;background-color:var(--bs-accordion-btn-bg);border:0;border-radius:0;overflow-anchor:none;transition:var(--bs-accordion-transition)}@media 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reduce){.accordion-button::after{transition:none}}.accordion-button:hover{z-index:2}.accordion-button:focus{z-index:3;border-color:var(--bs-accordion-btn-focus-border-color);outline:0;box-shadow:var(--bs-accordion-btn-focus-box-shadow)}.accordion-header{margin-bottom:0}.accordion-item{color:var(--bs-accordion-color);background-color:var(--bs-accordion-bg);border:var(--bs-accordion-border-width) solid var(--bs-accordion-border-color)}.accordion-item:first-of-type{border-top-left-radius:var(--bs-accordion-border-radius);border-top-right-radius:var(--bs-accordion-border-radius)}.accordion-item:first-of-type .accordion-button{border-top-left-radius:var(--bs-accordion-inner-border-radius);border-top-right-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:not(:first-of-type){border-top:0}.accordion-item:last-of-type{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-item:last-of-type .accordion-button.collapsed{border-bottom-right-radius:var(--bs-accordion-inner-border-radius);border-bottom-left-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:last-of-type .accordion-collapse{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-body{padding:var(--bs-accordion-body-padding-y) var(--bs-accordion-body-padding-x)}.accordion-flush .accordion-collapse{border-width:0}.accordion-flush .accordion-item{border-right:0;border-left:0;border-radius:0}.accordion-flush .accordion-item:first-child{border-top:0}.accordion-flush .accordion-item:last-child{border-bottom:0}.accordion-flush .accordion-item .accordion-button,.accordion-flush .accordion-item .accordion-button.collapsed{border-radius:0}[data-bs-theme="dark"] .accordion-button::after{--bs-accordion-btn-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%236ea8fe'%3e%3cpath 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var(--bs-breadcrumb-padding-x);margin-bottom:var(--bs-breadcrumb-margin-bottom);font-size:var(--bs-breadcrumb-font-size);list-style:none;background-color:var(--bs-breadcrumb-bg);border-radius:var(--bs-breadcrumb-border-radius)}.breadcrumb-item+.breadcrumb-item{padding-left:var(--bs-breadcrumb-item-padding-x)}.breadcrumb-item+.breadcrumb-item::before{float:left;padding-right:var(--bs-breadcrumb-item-padding-x);color:var(--bs-breadcrumb-divider-color);content:var(--bs-breadcrumb-divider, "/") /* rtl: var(--bs-breadcrumb-divider, "/") */}.breadcrumb-item.active{color:var(--bs-breadcrumb-item-active-color)}.pagination{--bs-pagination-padding-x: .75rem;--bs-pagination-padding-y: .375rem;--bs-pagination-font-size:1rem;--bs-pagination-color: var(--bs-link-color);--bs-pagination-bg: var(--bs-body-bg);--bs-pagination-border-width: var(--bs-border-width);--bs-pagination-border-color: var(--bs-border-color);--bs-pagination-border-radius: var(--bs-border-radius);--bs-pagination-hover-color: var(--bs-link-hover-color);--bs-pagination-hover-bg: var(--bs-tertiary-bg);--bs-pagination-hover-border-color: var(--bs-border-color);--bs-pagination-focus-color: var(--bs-link-hover-color);--bs-pagination-focus-bg: var(--bs-secondary-bg);--bs-pagination-focus-box-shadow: 0 0 0 .25rem rgba(13,110,253,0.25);--bs-pagination-active-color: #fff;--bs-pagination-active-bg: #0d6efd;--bs-pagination-active-border-color: #0d6efd;--bs-pagination-disabled-color: var(--bs-secondary-color);--bs-pagination-disabled-bg: var(--bs-secondary-bg);--bs-pagination-disabled-border-color: var(--bs-border-color);display:flex;display:-webkit-flex;padding-left:0;list-style:none}.page-link{position:relative;display:block;padding:var(--bs-pagination-padding-y) var(--bs-pagination-padding-x);font-size:var(--bs-pagination-font-size);color:var(--bs-pagination-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background-color:var(--bs-pagination-bg);border:var(--bs-pagination-border-width) solid var(--bs-pagination-border-color);transition:color 0.15s ease-in-out,background-color 0.15s ease-in-out,border-color 0.15s ease-in-out,box-shadow 0.15s ease-in-out}@media (prefers-reduced-motion: reduce){.page-link{transition:none}}.page-link:hover{z-index:2;color:var(--bs-pagination-hover-color);background-color:var(--bs-pagination-hover-bg);border-color:var(--bs-pagination-hover-border-color)}.page-link:focus{z-index:3;color:var(--bs-pagination-focus-color);background-color:var(--bs-pagination-focus-bg);outline:0;box-shadow:var(--bs-pagination-focus-box-shadow)}.page-link.active,.active>.page-link{z-index:3;color:var(--bs-pagination-active-color);background-color:var(--bs-pagination-active-bg);border-color:var(--bs-pagination-active-border-color)}.page-link.disabled,.disabled>.page-link{color:var(--bs-pagination-disabled-color);pointer-events:none;background-color:var(--bs-pagination-disabled-bg);border-color:var(--bs-pagination-disabled-border-color)}.page-item:not(:first-child) .page-link{margin-left:calc(var(--bs-border-width) * -1)}.page-item:first-child .page-link{border-top-left-radius:var(--bs-pagination-border-radius);border-bottom-left-radius:var(--bs-pagination-border-radius)}.page-item:last-child .page-link{border-top-right-radius:var(--bs-pagination-border-radius);border-bottom-right-radius:var(--bs-pagination-border-radius)}.pagination-lg{--bs-pagination-padding-x: 1.5rem;--bs-pagination-padding-y: .75rem;--bs-pagination-font-size:1.25rem;--bs-pagination-border-radius: var(--bs-border-radius-lg)}.pagination-sm{--bs-pagination-padding-x: .5rem;--bs-pagination-padding-y: .25rem;--bs-pagination-font-size:.875rem;--bs-pagination-border-radius: var(--bs-border-radius-sm)}.badge{--bs-badge-padding-x: .65em;--bs-badge-padding-y: .35em;--bs-badge-font-size:.75em;--bs-badge-font-weight: 700;--bs-badge-color: #fff;--bs-badge-border-radius: var(--bs-border-radius);display:inline-block;padding:var(--bs-badge-padding-y) var(--bs-badge-padding-x);font-size:var(--bs-badge-font-size);font-weight:var(--bs-badge-font-weight);line-height:1;color:var(--bs-badge-color);text-align:center;white-space:nowrap;vertical-align:baseline;border-radius:var(--bs-badge-border-radius)}.badge:empty{display:none}.btn .badge{position:relative;top:-1px}.alert{--bs-alert-bg: transparent;--bs-alert-padding-x: 1rem;--bs-alert-padding-y: 1rem;--bs-alert-margin-bottom: 1rem;--bs-alert-color: inherit;--bs-alert-border-color: transparent;--bs-alert-border: var(--bs-border-width) solid var(--bs-alert-border-color);--bs-alert-border-radius: var(--bs-border-radius);--bs-alert-link-color: inherit;position:relative;padding:var(--bs-alert-padding-y) var(--bs-alert-padding-x);margin-bottom:var(--bs-alert-margin-bottom);color:var(--bs-alert-color);background-color:var(--bs-alert-bg);border:var(--bs-alert-border);border-radius:var(--bs-alert-border-radius)}.alert-heading{color:inherit}.alert-link{font-weight:700;color:var(--bs-alert-link-color)}.alert-dismissible{padding-right:3rem}.alert-dismissible .btn-close{position:absolute;top:0;right:0;z-index:2;padding:1.25rem 1rem}.alert-default{--bs-alert-color: var(--bs-default-text-emphasis);--bs-alert-bg: var(--bs-default-bg-subtle);--bs-alert-border-color: var(--bs-default-border-subtle);--bs-alert-link-color: var(--bs-default-text-emphasis)}.alert-primary{--bs-alert-color: var(--bs-primary-text-emphasis);--bs-alert-bg: var(--bs-primary-bg-subtle);--bs-alert-border-color: var(--bs-primary-border-subtle);--bs-alert-link-color: var(--bs-primary-text-emphasis)}.alert-secondary{--bs-alert-color: var(--bs-secondary-text-emphasis);--bs-alert-bg: var(--bs-secondary-bg-subtle);--bs-alert-border-color: var(--bs-secondary-border-subtle);--bs-alert-link-color: var(--bs-secondary-text-emphasis)}.alert-success{--bs-alert-color: var(--bs-success-text-emphasis);--bs-alert-bg: var(--bs-success-bg-subtle);--bs-alert-border-color: var(--bs-success-border-subtle);--bs-alert-link-color: var(--bs-success-text-emphasis)}.alert-info{--bs-alert-color: var(--bs-info-text-emphasis);--bs-alert-bg: var(--bs-info-bg-subtle);--bs-alert-border-color: var(--bs-info-border-subtle);--bs-alert-link-color: var(--bs-info-text-emphasis)}.alert-warning{--bs-alert-color: var(--bs-warning-text-emphasis);--bs-alert-bg: var(--bs-warning-bg-subtle);--bs-alert-border-color: var(--bs-warning-border-subtle);--bs-alert-link-color: var(--bs-warning-text-emphasis)}.alert-danger{--bs-alert-color: var(--bs-danger-text-emphasis);--bs-alert-bg: var(--bs-danger-bg-subtle);--bs-alert-border-color: var(--bs-danger-border-subtle);--bs-alert-link-color: var(--bs-danger-text-emphasis)}.alert-light{--bs-alert-color: var(--bs-light-text-emphasis);--bs-alert-bg: var(--bs-light-bg-subtle);--bs-alert-border-color: var(--bs-light-border-subtle);--bs-alert-link-color: var(--bs-light-text-emphasis)}.alert-dark{--bs-alert-color: var(--bs-dark-text-emphasis);--bs-alert-bg: var(--bs-dark-bg-subtle);--bs-alert-border-color: var(--bs-dark-border-subtle);--bs-alert-link-color: var(--bs-dark-text-emphasis)}@keyframes progress-bar-stripes{0%{background-position-x:1rem}}.progress,.progress-stacked{--bs-progress-height: 1rem;--bs-progress-font-size:.75rem;--bs-progress-bg: var(--bs-secondary-bg);--bs-progress-border-radius: var(--bs-border-radius);--bs-progress-box-shadow: var(--bs-box-shadow-inset);--bs-progress-bar-color: #fff;--bs-progress-bar-bg: #0d6efd;--bs-progress-bar-transition: width 0.6s ease;display:flex;display:-webkit-flex;height:var(--bs-progress-height);overflow:hidden;font-size:var(--bs-progress-font-size);background-color:var(--bs-progress-bg);border-radius:var(--bs-progress-border-radius)}.progress-bar{display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;justify-content:center;-webkit-justify-content:center;overflow:hidden;color:var(--bs-progress-bar-color);text-align:center;white-space:nowrap;background-color:var(--bs-progress-bar-bg);transition:var(--bs-progress-bar-transition)}@media (prefers-reduced-motion: reduce){.progress-bar{transition:none}}.progress-bar-striped{background-image:linear-gradient(45deg, rgba(255,255,255,0.15) 25%, transparent 25%, transparent 50%, rgba(255,255,255,0.15) 50%, rgba(255,255,255,0.15) 75%, transparent 75%, transparent);background-size:var(--bs-progress-height) var(--bs-progress-height)}.progress-stacked>.progress{overflow:visible}.progress-stacked>.progress>.progress-bar{width:100%}.progress-bar-animated{animation:1s linear infinite progress-bar-stripes}@media (prefers-reduced-motion: reduce){.progress-bar-animated{animation:none}}.list-group{--bs-list-group-color: var(--bs-body-color);--bs-list-group-bg: var(--bs-body-bg);--bs-list-group-border-color: var(--bs-border-color);--bs-list-group-border-width: var(--bs-border-width);--bs-list-group-border-radius: var(--bs-border-radius);--bs-list-group-item-padding-x: 1rem;--bs-list-group-item-padding-y: .5rem;--bs-list-group-action-color: var(--bs-secondary-color);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-tertiary-bg);--bs-list-group-action-active-color: var(--bs-body-color);--bs-list-group-action-active-bg: var(--bs-secondary-bg);--bs-list-group-disabled-color: var(--bs-secondary-color);--bs-list-group-disabled-bg: var(--bs-body-bg);--bs-list-group-active-color: #fff;--bs-list-group-active-bg: #0d6efd;--bs-list-group-active-border-color: #0d6efd;display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;padding-left:0;margin-bottom:0;border-radius:var(--bs-list-group-border-radius)}.list-group-numbered{list-style-type:none;counter-reset:section}.list-group-numbered>.list-group-item::before{content:counters(section, ".") ". ";counter-increment:section}.list-group-item-action{width:100%;color:var(--bs-list-group-action-color);text-align:inherit}.list-group-item-action:hover,.list-group-item-action:focus{z-index:1;color:var(--bs-list-group-action-hover-color);text-decoration:none;background-color:var(--bs-list-group-action-hover-bg)}.list-group-item-action:active{color:var(--bs-list-group-action-active-color);background-color:var(--bs-list-group-action-active-bg)}.list-group-item{position:relative;display:block;padding:var(--bs-list-group-item-padding-y) var(--bs-list-group-item-padding-x);color:var(--bs-list-group-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background-color:var(--bs-list-group-bg);border:var(--bs-list-group-border-width) solid var(--bs-list-group-border-color)}.list-group-item:first-child{border-top-left-radius:inherit;border-top-right-radius:inherit}.list-group-item:last-child{border-bottom-right-radius:inherit;border-bottom-left-radius:inherit}.list-group-item.disabled,.list-group-item:disabled{color:var(--bs-list-group-disabled-color);pointer-events:none;background-color:var(--bs-list-group-disabled-bg)}.list-group-item.active{z-index:2;color:var(--bs-list-group-active-color);background-color:var(--bs-list-group-active-bg);border-color:var(--bs-list-group-active-border-color)}.list-group-item+.list-group-item{border-top-width:0}.list-group-item+.list-group-item.active{margin-top:calc(-1 * var(--bs-list-group-border-width));border-top-width:var(--bs-list-group-border-width)}.list-group-horizontal{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal>.list-group-item.active{margin-top:0}.list-group-horizontal>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}@media (min-width: 576px){.list-group-horizontal-sm{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-sm>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-sm>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-sm>.list-group-item.active{margin-top:0}.list-group-horizontal-sm>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-sm>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 768px){.list-group-horizontal-md{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-md>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-md>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-md>.list-group-item.active{margin-top:0}.list-group-horizontal-md>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-md>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 992px){.list-group-horizontal-lg{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-lg>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-lg>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-lg>.list-group-item.active{margin-top:0}.list-group-horizontal-lg>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-lg>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 1200px){.list-group-horizontal-xl{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-xl>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-xl>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-xl>.list-group-item.active{margin-top:0}.list-group-horizontal-xl>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-xl>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 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var(--bs-list-group-border-width)}.list-group-flush>.list-group-item:last-child{border-bottom-width:0}.list-group-item-default{--bs-list-group-color: var(--bs-default-text-emphasis);--bs-list-group-bg: var(--bs-default-bg-subtle);--bs-list-group-border-color: var(--bs-default-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-default-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-default-border-subtle);--bs-list-group-active-color: var(--bs-default-bg-subtle);--bs-list-group-active-bg: var(--bs-default-text-emphasis);--bs-list-group-active-border-color: var(--bs-default-text-emphasis)}.list-group-item-primary{--bs-list-group-color: var(--bs-primary-text-emphasis);--bs-list-group-bg: var(--bs-primary-bg-subtle);--bs-list-group-border-color: var(--bs-primary-border-subtle);--bs-list-group-action-hover-color: 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var(--bs-secondary-text-emphasis);--bs-list-group-active-border-color: var(--bs-secondary-text-emphasis)}.list-group-item-success{--bs-list-group-color: var(--bs-success-text-emphasis);--bs-list-group-bg: var(--bs-success-bg-subtle);--bs-list-group-border-color: var(--bs-success-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-success-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-success-border-subtle);--bs-list-group-active-color: var(--bs-success-bg-subtle);--bs-list-group-active-bg: var(--bs-success-text-emphasis);--bs-list-group-active-border-color: var(--bs-success-text-emphasis)}.list-group-item-info{--bs-list-group-color: var(--bs-info-text-emphasis);--bs-list-group-bg: var(--bs-info-bg-subtle);--bs-list-group-border-color: var(--bs-info-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-info-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-info-border-subtle);--bs-list-group-active-color: var(--bs-info-bg-subtle);--bs-list-group-active-bg: var(--bs-info-text-emphasis);--bs-list-group-active-border-color: var(--bs-info-text-emphasis)}.list-group-item-warning{--bs-list-group-color: var(--bs-warning-text-emphasis);--bs-list-group-bg: var(--bs-warning-bg-subtle);--bs-list-group-border-color: var(--bs-warning-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-warning-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-warning-border-subtle);--bs-list-group-active-color: var(--bs-warning-bg-subtle);--bs-list-group-active-bg: var(--bs-warning-text-emphasis);--bs-list-group-active-border-color: var(--bs-warning-text-emphasis)}.list-group-item-danger{--bs-list-group-color: var(--bs-danger-text-emphasis);--bs-list-group-bg: var(--bs-danger-bg-subtle);--bs-list-group-border-color: var(--bs-danger-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-danger-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-danger-border-subtle);--bs-list-group-active-color: var(--bs-danger-bg-subtle);--bs-list-group-active-bg: var(--bs-danger-text-emphasis);--bs-list-group-active-border-color: var(--bs-danger-text-emphasis)}.list-group-item-light{--bs-list-group-color: var(--bs-light-text-emphasis);--bs-list-group-bg: var(--bs-light-bg-subtle);--bs-list-group-border-color: var(--bs-light-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-light-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-light-border-subtle);--bs-list-group-active-color: var(--bs-light-bg-subtle);--bs-list-group-active-bg: var(--bs-light-text-emphasis);--bs-list-group-active-border-color: var(--bs-light-text-emphasis)}.list-group-item-dark{--bs-list-group-color: var(--bs-dark-text-emphasis);--bs-list-group-bg: var(--bs-dark-bg-subtle);--bs-list-group-border-color: var(--bs-dark-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-dark-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-dark-border-subtle);--bs-list-group-active-color: var(--bs-dark-bg-subtle);--bs-list-group-active-bg: var(--bs-dark-text-emphasis);--bs-list-group-active-border-color: var(--bs-dark-text-emphasis)}.btn-close{--bs-btn-close-color: #000;--bs-btn-close-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' 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reduce){.btn{transition:none}}.btn:hover{color:var(--bs-btn-hover-color);background-color:var(--bs-btn-hover-bg);border-color:var(--bs-btn-hover-border-color)}.btn-check+.btn:hover{color:var(--bs-btn-color);background-color:var(--bs-btn-bg);border-color:var(--bs-btn-border-color)}.btn:focus-visible{color:var(--bs-btn-hover-color);background-color:var(--bs-btn-hover-bg);border-color:var(--bs-btn-hover-border-color);outline:0;box-shadow:var(--bs-btn-focus-box-shadow)}.btn-check:focus-visible+.btn{border-color:var(--bs-btn-hover-border-color);outline:0;box-shadow:var(--bs-btn-focus-box-shadow)}.btn-check:checked+.btn,:not(.btn-check)+.btn:active,.btn:first-child:active,.btn.active,.btn.show{color:var(--bs-btn-active-color);background-color:var(--bs-btn-active-bg);border-color:var(--bs-btn-active-border-color)}.btn-check:checked+.btn:focus-visible,:not(.btn-check)+.btn:active:focus-visible,.btn:first-child:active:focus-visible,.btn.active:focus-visible,.btn.show:focus-visible{box-shadow:var(--bs-btn-focus-box-shadow)}.btn:disabled,.btn.disabled,fieldset:disabled 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3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #fff;--bs-btn-disabled-bg: #0d6efd;--bs-btn-disabled-border-color: #0d6efd}.btn-secondary{--bs-btn-color: #fff;--bs-btn-bg: #6c757d;--bs-btn-border-color: #6c757d;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #5c636a;--bs-btn-hover-border-color: #565e64;--bs-btn-focus-shadow-rgb: 130,138,145;--bs-btn-active-color: #fff;--bs-btn-active-bg: #565e64;--bs-btn-active-border-color: #51585e;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #fff;--bs-btn-disabled-bg: #6c757d;--bs-btn-disabled-border-color: #6c757d}.btn-success{--bs-btn-color: #fff;--bs-btn-bg: #198754;--bs-btn-border-color: #198754;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #157347;--bs-btn-hover-border-color: #146c43;--bs-btn-focus-shadow-rgb: 60,153,110;--bs-btn-active-color: #fff;--bs-btn-active-bg: #146c43;--bs-btn-active-border-color: #13653f;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #fff;--bs-btn-disabled-bg: #198754;--bs-btn-disabled-border-color: #198754}.btn-info{--bs-btn-color: #000;--bs-btn-bg: #0dcaf0;--bs-btn-border-color: #0dcaf0;--bs-btn-hover-color: #000;--bs-btn-hover-bg: #31d2f2;--bs-btn-hover-border-color: #25cff2;--bs-btn-focus-shadow-rgb: 11,172,204;--bs-btn-active-color: #000;--bs-btn-active-bg: #3dd5f3;--bs-btn-active-border-color: #25cff2;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #000;--bs-btn-disabled-bg: #0dcaf0;--bs-btn-disabled-border-color: #0dcaf0}.btn-warning{--bs-btn-color: #000;--bs-btn-bg: #ffc107;--bs-btn-border-color: #ffc107;--bs-btn-hover-color: #000;--bs-btn-hover-bg: #ffca2c;--bs-btn-hover-border-color: #ffc720;--bs-btn-focus-shadow-rgb: 217,164,6;--bs-btn-active-color: #000;--bs-btn-active-bg: #ffcd39;--bs-btn-active-border-color: #ffc720;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #000;--bs-btn-disabled-bg: #ffc107;--bs-btn-disabled-border-color: 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#212529;--bs-btn-border-color: #212529;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #424649;--bs-btn-hover-border-color: #373b3e;--bs-btn-focus-shadow-rgb: 66,70,73;--bs-btn-active-color: #fff;--bs-btn-active-bg: #4d5154;--bs-btn-active-border-color: #373b3e;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #fff;--bs-btn-disabled-bg: #212529;--bs-btn-disabled-border-color: #212529}.btn-outline-default{--bs-btn-color: #dee2e6;--bs-btn-border-color: #dee2e6;--bs-btn-hover-color: #000;--bs-btn-hover-bg: #dee2e6;--bs-btn-hover-border-color: #dee2e6;--bs-btn-focus-shadow-rgb: 222,226,230;--bs-btn-active-color: #000;--bs-btn-active-bg: #dee2e6;--bs-btn-active-border-color: #dee2e6;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #dee2e6;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #dee2e6;--bs-btn-bg: transparent;--bs-gradient: none}.btn-outline-primary{--bs-btn-color: #0d6efd;--bs-btn-border-color: #0d6efd;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #0d6efd;--bs-btn-hover-border-color: #0d6efd;--bs-btn-focus-shadow-rgb: 13,110,253;--bs-btn-active-color: #fff;--bs-btn-active-bg: #0d6efd;--bs-btn-active-border-color: #0d6efd;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #0d6efd;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #0d6efd;--bs-btn-bg: transparent;--bs-gradient: none}.btn-outline-secondary{--bs-btn-color: #6c757d;--bs-btn-border-color: #6c757d;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #6c757d;--bs-btn-hover-border-color: #6c757d;--bs-btn-focus-shadow-rgb: 108,117,125;--bs-btn-active-color: #fff;--bs-btn-active-bg: #6c757d;--bs-btn-active-border-color: #6c757d;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #6c757d;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #6c757d;--bs-btn-bg: transparent;--bs-gradient: none}.btn-outline-success{--bs-btn-color: #198754;--bs-btn-border-color: #198754;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #198754;--bs-btn-hover-border-color: #198754;--bs-btn-focus-shadow-rgb: 25,135,84;--bs-btn-active-color: #fff;--bs-btn-active-bg: #198754;--bs-btn-active-border-color: #198754;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #198754;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #198754;--bs-btn-bg: transparent;--bs-gradient: none}.btn-outline-info{--bs-btn-color: #0dcaf0;--bs-btn-border-color: #0dcaf0;--bs-btn-hover-color: #000;--bs-btn-hover-bg: #0dcaf0;--bs-btn-hover-border-color: #0dcaf0;--bs-btn-focus-shadow-rgb: 13,202,240;--bs-btn-active-color: #000;--bs-btn-active-bg: #0dcaf0;--bs-btn-active-border-color: #0dcaf0;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #0dcaf0;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #0dcaf0;--bs-btn-bg: transparent;--bs-gradient: none}.btn-outline-warning{--bs-btn-color: #ffc107;--bs-btn-border-color: #ffc107;--bs-btn-hover-color: #000;--bs-btn-hover-bg: #ffc107;--bs-btn-hover-border-color: #ffc107;--bs-btn-focus-shadow-rgb: 255,193,7;--bs-btn-active-color: #000;--bs-btn-active-bg: #ffc107;--bs-btn-active-border-color: #ffc107;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #ffc107;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #ffc107;--bs-btn-bg: transparent;--bs-gradient: none}.btn-outline-danger{--bs-btn-color: #dc3545;--bs-btn-border-color: #dc3545;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #dc3545;--bs-btn-hover-border-color: #dc3545;--bs-btn-focus-shadow-rgb: 220,53,69;--bs-btn-active-color: #fff;--bs-btn-active-bg: #dc3545;--bs-btn-active-border-color: #dc3545;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #dc3545;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #dc3545;--bs-btn-bg: transparent;--bs-gradient: none}.btn-outline-light{--bs-btn-color: #f8f9fa;--bs-btn-border-color: #f8f9fa;--bs-btn-hover-color: #000;--bs-btn-hover-bg: #f8f9fa;--bs-btn-hover-border-color: #f8f9fa;--bs-btn-focus-shadow-rgb: 248,249,250;--bs-btn-active-color: #000;--bs-btn-active-bg: #f8f9fa;--bs-btn-active-border-color: #f8f9fa;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #f8f9fa;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #f8f9fa;--bs-btn-bg: transparent;--bs-gradient: none}.btn-outline-dark{--bs-btn-color: #212529;--bs-btn-border-color: #212529;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #212529;--bs-btn-hover-border-color: #212529;--bs-btn-focus-shadow-rgb: 33,37,41;--bs-btn-active-color: #fff;--bs-btn-active-bg: #212529;--bs-btn-active-border-color: #212529;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #212529;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #212529;--bs-btn-bg: transparent;--bs-gradient: none}.btn-link{--bs-btn-font-weight: 400;--bs-btn-color: var(--bs-link-color);--bs-btn-bg: transparent;--bs-btn-border-color: transparent;--bs-btn-hover-color: var(--bs-link-hover-color);--bs-btn-hover-border-color: transparent;--bs-btn-active-color: var(--bs-link-hover-color);--bs-btn-active-border-color: transparent;--bs-btn-disabled-color: #6c757d;--bs-btn-disabled-border-color: transparent;--bs-btn-box-shadow: 0 0 0 #000;--bs-btn-focus-shadow-rgb: 49,132,253;text-decoration:underline;-webkit-text-decoration:underline;-moz-text-decoration:underline;-ms-text-decoration:underline;-o-text-decoration:underline}.btn-link:focus-visible{color:var(--bs-btn-color)}.btn-link:hover{color:var(--bs-btn-hover-color)}.btn-lg,.btn-group-lg>.btn{--bs-btn-padding-y: .5rem;--bs-btn-padding-x: 1rem;--bs-btn-font-size:1.25rem;--bs-btn-border-radius: var(--bs-border-radius-lg)}.btn-sm,.btn-group-sm>.btn{--bs-btn-padding-y: .25rem;--bs-btn-padding-x: .5rem;--bs-btn-font-size:.875rem;--bs-btn-border-radius: var(--bs-border-radius-sm)}.fade{transition:opacity 0.15s linear}@media (prefers-reduced-motion: reduce){.fade{transition:none}}.fade:not(.show){opacity:0}.collapse:not(.show){display:none}.collapsing{height:0;overflow:hidden;transition:height 0.35s ease}@media (prefers-reduced-motion: reduce){.collapsing{transition:none}}.collapsing.collapse-horizontal{width:0;height:auto;transition:width 0.35s ease}@media (prefers-reduced-motion: reduce){.collapsing.collapse-horizontal{transition:none}}.dropup,.dropend,.dropdown,.dropstart,.dropup-center,.dropdown-center{position:relative}.dropdown-toggle{white-space:nowrap}.dropdown-toggle::after{display:inline-block;margin-left:.255em;vertical-align:.255em;content:"";border-top:.3em solid;border-right:.3em solid transparent;border-bottom:0;border-left:.3em solid transparent}.dropdown-toggle:empty::after{margin-left:0}.dropdown-menu{--bs-dropdown-zindex: 1000;--bs-dropdown-min-width: 10rem;--bs-dropdown-padding-x: 0;--bs-dropdown-padding-y: .5rem;--bs-dropdown-spacer: .125rem;--bs-dropdown-font-size:1rem;--bs-dropdown-color: var(--bs-body-color);--bs-dropdown-bg: var(--bs-body-bg);--bs-dropdown-border-color: var(--bs-border-color-translucent);--bs-dropdown-border-radius: var(--bs-border-radius);--bs-dropdown-border-width: var(--bs-border-width);--bs-dropdown-inner-border-radius: calc(var(--bs-border-radius) - var(--bs-border-width));--bs-dropdown-divider-bg: var(--bs-border-color-translucent);--bs-dropdown-divider-margin-y: .5rem;--bs-dropdown-box-shadow: 0 0.5rem 1rem rgba(0,0,0,0.15);--bs-dropdown-link-color: var(--bs-body-color);--bs-dropdown-link-hover-color: var(--bs-body-color);--bs-dropdown-link-hover-bg: var(--bs-tertiary-bg);--bs-dropdown-link-active-color: #fff;--bs-dropdown-link-active-bg: #0d6efd;--bs-dropdown-link-disabled-color: var(--bs-tertiary-color);--bs-dropdown-item-padding-x: 1rem;--bs-dropdown-item-padding-y: .25rem;--bs-dropdown-header-color: #6c757d;--bs-dropdown-header-padding-x: 1rem;--bs-dropdown-header-padding-y: .5rem;position:absolute;z-index:var(--bs-dropdown-zindex);display:none;min-width:var(--bs-dropdown-min-width);padding:var(--bs-dropdown-padding-y) var(--bs-dropdown-padding-x);margin:0;font-size:var(--bs-dropdown-font-size);color:var(--bs-dropdown-color);text-align:left;list-style:none;background-color:var(--bs-dropdown-bg);background-clip:padding-box;border:var(--bs-dropdown-border-width) solid var(--bs-dropdown-border-color);border-radius:var(--bs-dropdown-border-radius)}.dropdown-menu[data-bs-popper]{top:100%;left:0;margin-top:var(--bs-dropdown-spacer)}.dropdown-menu-start{--bs-position: start}.dropdown-menu-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-end{--bs-position: end}.dropdown-menu-end[data-bs-popper]{right:0;left:auto}@media (min-width: 576px){.dropdown-menu-sm-start{--bs-position: start}.dropdown-menu-sm-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-sm-end{--bs-position: end}.dropdown-menu-sm-end[data-bs-popper]{right:0;left:auto}}@media (min-width: 768px){.dropdown-menu-md-start{--bs-position: start}.dropdown-menu-md-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-md-end{--bs-position: end}.dropdown-menu-md-end[data-bs-popper]{right:0;left:auto}}@media (min-width: 992px){.dropdown-menu-lg-start{--bs-position: start}.dropdown-menu-lg-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-lg-end{--bs-position: end}.dropdown-menu-lg-end[data-bs-popper]{right:0;left:auto}}@media (min-width: 1200px){.dropdown-menu-xl-start{--bs-position: start}.dropdown-menu-xl-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-xl-end{--bs-position: end}.dropdown-menu-xl-end[data-bs-popper]{right:0;left:auto}}@media (min-width: 1400px){.dropdown-menu-xxl-start{--bs-position: start}.dropdown-menu-xxl-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-xxl-end{--bs-position: end}.dropdown-menu-xxl-end[data-bs-popper]{right:0;left:auto}}.dropup 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var(--bs-dropdown-header-padding-x);margin-bottom:0;font-size:.875rem;color:var(--bs-dropdown-header-color);white-space:nowrap}.dropdown-item-text{display:block;padding:var(--bs-dropdown-item-padding-y) var(--bs-dropdown-item-padding-x);color:var(--bs-dropdown-link-color)}.dropdown-menu-dark{--bs-dropdown-color: #dee2e6;--bs-dropdown-bg: #343a40;--bs-dropdown-border-color: var(--bs-border-color-translucent);--bs-dropdown-box-shadow: ;--bs-dropdown-link-color: #dee2e6;--bs-dropdown-link-hover-color: #fff;--bs-dropdown-divider-bg: var(--bs-border-color-translucent);--bs-dropdown-link-hover-bg: rgba(255,255,255,0.15);--bs-dropdown-link-active-color: #fff;--bs-dropdown-link-active-bg: #0d6efd;--bs-dropdown-link-disabled-color: #adb5bd;--bs-dropdown-header-color: #adb5bd}.btn-group,.btn-group-vertical{position:relative;display:inline-flex;vertical-align:middle}.btn-group>.btn,.btn-group-vertical>.btn{position:relative;flex:1 1 auto;-webkit-flex:1 1 auto}.btn-group>.btn-check:checked+.btn,.btn-group>.btn-check:focus+.btn,.btn-group>.btn:hover,.btn-group>.btn:focus,.btn-group>.btn:active,.btn-group>.btn.active,.btn-group-vertical>.btn-check:checked+.btn,.btn-group-vertical>.btn-check:focus+.btn,.btn-group-vertical>.btn:hover,.btn-group-vertical>.btn:focus,.btn-group-vertical>.btn:active,.btn-group-vertical>.btn.active{z-index:1}.btn-toolbar{display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;justify-content:flex-start;-webkit-justify-content:flex-start}.btn-toolbar .input-group{width:auto}.btn-group{border-radius:var(--bs-border-radius)}.btn-group>:not(.btn-check:first-child)+.btn,.btn-group>.btn-group:not(:first-child){margin-left:calc(var(--bs-border-width) * -1)}.btn-group>.btn:not(:last-child):not(.dropdown-toggle),.btn-group>.btn.dropdown-toggle-split:first-child,.btn-group>.btn-group:not(:last-child)>.btn{border-top-right-radius:0;border-bottom-right-radius:0}.btn-group>.btn:nth-child(n + 3),.btn-group>:not(.btn-check)+.btn,.btn-group>.btn-group:not(:first-child)>.btn{border-top-left-radius:0;border-bottom-left-radius:0}.dropdown-toggle-split{padding-right:.5625rem;padding-left:.5625rem}.dropdown-toggle-split::after,.dropup .dropdown-toggle-split::after,.dropend .dropdown-toggle-split::after{margin-left:0}.dropstart .dropdown-toggle-split::before{margin-right:0}.btn-sm+.dropdown-toggle-split,.btn-group-sm>.btn+.dropdown-toggle-split{padding-right:.375rem;padding-left:.375rem}.btn-lg+.dropdown-toggle-split,.btn-group-lg>.btn+.dropdown-toggle-split{padding-right:.75rem;padding-left:.75rem}.btn-group-vertical{flex-direction:column;-webkit-flex-direction:column;align-items:flex-start;-webkit-align-items:flex-start;justify-content:center;-webkit-justify-content:center}.btn-group-vertical>.btn,.btn-group-vertical>.btn-group{width:100%}.btn-group-vertical>.btn:not(:first-child),.btn-group-vertical>.btn-group:not(:first-child){margin-top:calc(var(--bs-border-width) * -1)}.btn-group-vertical>.btn:not(:last-child):not(.dropdown-toggle),.btn-group-vertical>.btn-group:not(:last-child)>.btn{border-bottom-right-radius:0;border-bottom-left-radius:0}.btn-group-vertical>.btn~.btn,.btn-group-vertical>.btn-group:not(:first-child)>.btn{border-top-left-radius:0;border-top-right-radius:0}.nav{--bs-nav-link-padding-x: 1rem;--bs-nav-link-padding-y: .5rem;--bs-nav-link-font-weight: ;--bs-nav-link-color: var(--bs-link-color);--bs-nav-link-hover-color: var(--bs-link-hover-color);--bs-nav-link-disabled-color: var(--bs-secondary-color);display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;padding-left:0;margin-bottom:0;list-style:none}.nav-link{display:block;padding:var(--bs-nav-link-padding-y) var(--bs-nav-link-padding-x);font-size:var(--bs-nav-link-font-size);font-weight:var(--bs-nav-link-font-weight);color:var(--bs-nav-link-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background:none;border:0;transition:color 0.15s ease-in-out,background-color 0.15s ease-in-out,border-color 0.15s ease-in-out}@media (prefers-reduced-motion: reduce){.nav-link{transition:none}}.nav-link:hover,.nav-link:focus{color:var(--bs-nav-link-hover-color)}.nav-link:focus-visible{outline:0;box-shadow:0 0 0 .25rem rgba(13,110,253,0.25)}.nav-link.disabled,.nav-link:disabled{color:var(--bs-nav-link-disabled-color);pointer-events:none;cursor:default}.nav-tabs{--bs-nav-tabs-border-width: var(--bs-border-width);--bs-nav-tabs-border-color: var(--bs-border-color);--bs-nav-tabs-border-radius: var(--bs-border-radius);--bs-nav-tabs-link-hover-border-color: var(--bs-secondary-bg) var(--bs-secondary-bg) var(--bs-border-color);--bs-nav-tabs-link-active-color: var(--bs-emphasis-color);--bs-nav-tabs-link-active-bg: var(--bs-body-bg);--bs-nav-tabs-link-active-border-color: var(--bs-border-color) var(--bs-border-color) var(--bs-body-bg);border-bottom:var(--bs-nav-tabs-border-width) solid var(--bs-nav-tabs-border-color)}.nav-tabs .nav-link{margin-bottom:calc(-1 * var(--bs-nav-tabs-border-width));border:var(--bs-nav-tabs-border-width) solid transparent;border-top-left-radius:var(--bs-nav-tabs-border-radius);border-top-right-radius:var(--bs-nav-tabs-border-radius)}.nav-tabs .nav-link:hover,.nav-tabs .nav-link:focus{isolation:isolate;border-color:var(--bs-nav-tabs-link-hover-border-color)}.nav-tabs .nav-link.active,.nav-tabs .nav-item.show .nav-link{color:var(--bs-nav-tabs-link-active-color);background-color:var(--bs-nav-tabs-link-active-bg);border-color:var(--bs-nav-tabs-link-active-border-color)}.nav-tabs .dropdown-menu{margin-top:calc(-1 * var(--bs-nav-tabs-border-width));border-top-left-radius:0;border-top-right-radius:0}.nav-pills{--bs-nav-pills-border-radius: var(--bs-border-radius);--bs-nav-pills-link-active-color: #fff;--bs-nav-pills-link-active-bg: #0d6efd}.nav-pills .nav-link{border-radius:var(--bs-nav-pills-border-radius)}.nav-pills .nav-link.active,.nav-pills .show>.nav-link{color:var(--bs-nav-pills-link-active-color);background-color:var(--bs-nav-pills-link-active-bg)}.nav-underline{--bs-nav-underline-gap: 1rem;--bs-nav-underline-border-width: .125rem;--bs-nav-underline-link-active-color: var(--bs-emphasis-color);gap:var(--bs-nav-underline-gap)}.nav-underline .nav-link{padding-right:0;padding-left:0;border-bottom:var(--bs-nav-underline-border-width) solid transparent}.nav-underline .nav-link:hover,.nav-underline .nav-link:focus{border-bottom-color:currentcolor}.nav-underline .nav-link.active,.nav-underline .show>.nav-link{font-weight:700;color:var(--bs-nav-underline-link-active-color);border-bottom-color:currentcolor}.nav-fill>.nav-link,.nav-fill .nav-item{flex:1 1 auto;-webkit-flex:1 1 auto;text-align:center}.nav-justified>.nav-link,.nav-justified .nav-item{flex-basis:0;-webkit-flex-basis:0;flex-grow:1;-webkit-flex-grow:1;text-align:center}.nav-fill .nav-item .nav-link,.nav-justified .nav-item .nav-link{width:100%}.tab-content>.tab-pane{display:none}.tab-content>.active{display:block}.navbar,:where([data-bs-theme="light"]) .navbar{--bs-navbar-padding-x: 0;--bs-navbar-padding-y: .5rem;--bs-navbar-color: rgba(var(--bs-emphasis-color-rgb), 0.65);--bs-navbar-hover-color: rgba(var(--bs-emphasis-color-rgb), 0.8);--bs-navbar-disabled-color: rgba(var(--bs-emphasis-color-rgb), 0.3);--bs-navbar-active-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-brand-padding-y: .3125rem;--bs-navbar-brand-margin-end: 1rem;--bs-navbar-brand-font-size: 1.25rem;--bs-navbar-brand-color: 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!important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand .navbar-toggler{display:none}.navbar-expand .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand .offcanvas .offcanvas-header{display:none}.navbar-expand .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}.navbar-dark,:where([data-bs-theme="dark"]) .navbar,.navbar[data-bs-theme="dark"]{--bs-navbar-color: rgba(var(--bs-emphasis-color-rgb), 0.55);--bs-navbar-hover-color: rgba(var(--bs-emphasis-color-rgb), 0.75);--bs-navbar-disabled-color: rgba(var(--bs-emphasis-color-rgb), 0.25);--bs-navbar-active-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-brand-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-brand-hover-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-toggler-border-color: rgba(var(--bs-emphasis-color-rgb), 0.1);--bs-navbar-toggler-icon-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='rgba%28255,255,255,0.75%29' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e")}:where(.navbar[data-bs-theme="dark"] .navbar-toggler-icon){--bs-navbar-toggler-icon-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='rgba%28255,255,255,0.75%29' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e")}[data-bs-theme="dark"] :where(.navbar:not([data-bs-theme="light"]) .navbar-toggler-icon){--bs-navbar-toggler-icon-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='rgba%28255,255,255,0.75%29' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e")}.navbar[data-bs-theme="light"]{--bs-navbar-color: rgba(var(--bs-emphasis-color-rgb), 0.65);--bs-navbar-hover-color: rgba(var(--bs-emphasis-color-rgb), 0.8);--bs-navbar-disabled-color: rgba(var(--bs-emphasis-color-rgb), 0.3);--bs-navbar-active-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-brand-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-brand-hover-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-toggler-border-color: rgba(var(--bs-emphasis-color-rgb), 0.15)}.navbar[data-bs-theme="light"] .navbar-toggler-icon{--bs-navbar-toggler-icon-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='rgba%2833,37,41,0.75%29' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e")}.card{--bs-card-spacer-y: 1rem;--bs-card-spacer-x: 1rem;--bs-card-title-spacer-y: .5rem;--bs-card-title-color: ;--bs-card-subtitle-color: ;--bs-card-border-width: var(--bs-border-width);--bs-card-border-color: var(--bs-border-color-translucent);--bs-card-border-radius: var(--bs-border-radius);--bs-card-box-shadow: ;--bs-card-inner-border-radius: calc(var(--bs-border-radius) - (var(--bs-border-width)));--bs-card-cap-padding-y: .5rem;--bs-card-cap-padding-x: 1rem;--bs-card-cap-bg: rgba(var(--bs-body-color-rgb), 0.03);--bs-card-cap-color: ;--bs-card-height: ;--bs-card-color: ;--bs-card-bg: var(--bs-body-bg);--bs-card-img-overlay-padding: 1rem;--bs-card-group-margin: .75rem;position:relative;display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;min-width:0;height:var(--bs-card-height);color:var(--bs-body-color);word-wrap:break-word;background-color:var(--bs-card-bg);background-clip:border-box;border:var(--bs-card-border-width) solid 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wrap;-webkit-flex-flow:row wrap}.card-group>.card{flex:1 0 0%;-webkit-flex:1 0 0%;margin-bottom:0}.card-group>.card+.card{margin-left:0;border-left:0}.card-group>.card:not(:last-child){border-top-right-radius:0;border-bottom-right-radius:0}.card-group>.card:not(:last-child) .card-img-top,.card-group>.card:not(:last-child) .card-header{border-top-right-radius:0}.card-group>.card:not(:last-child) .card-img-bottom,.card-group>.card:not(:last-child) .card-footer{border-bottom-right-radius:0}.card-group>.card:not(:first-child){border-top-left-radius:0;border-bottom-left-radius:0}.card-group>.card:not(:first-child) .card-img-top,.card-group>.card:not(:first-child) .card-header{border-top-left-radius:0}.card-group>.card:not(:first-child) .card-img-bottom,.card-group>.card:not(:first-child) .card-footer{border-bottom-left-radius:0}}.accordion{--bs-accordion-color: var(--bs-body-color);--bs-accordion-bg: var(--bs-body-bg);--bs-accordion-transition: color 0.15s ease-in-out,background-color 0.15s ease-in-out,border-color 0.15s ease-in-out,box-shadow 0.15s ease-in-out,border-radius 0.15s ease;--bs-accordion-border-color: var(--bs-border-color);--bs-accordion-border-width: var(--bs-border-width);--bs-accordion-border-radius: var(--bs-border-radius);--bs-accordion-inner-border-radius: calc(var(--bs-border-radius) - (var(--bs-border-width)));--bs-accordion-btn-padding-x: 1.25rem;--bs-accordion-btn-padding-y: 1rem;--bs-accordion-btn-color: var(--bs-body-color);--bs-accordion-btn-bg: var(--bs-accordion-bg);--bs-accordion-btn-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23212529'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-icon-width: 1.25rem;--bs-accordion-btn-icon-transform: rotate(-180deg);--bs-accordion-btn-icon-transition: transform 0.2s ease-in-out;--bs-accordion-btn-active-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23052c65'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-focus-border-color: #86b7fe;--bs-accordion-btn-focus-box-shadow: 0 0 0 .25rem rgba(13,110,253,0.25);--bs-accordion-body-padding-x: 1.25rem;--bs-accordion-body-padding-y: 1rem;--bs-accordion-active-color: var(--bs-primary-text-emphasis);--bs-accordion-active-bg: var(--bs-primary-bg-subtle)}.accordion-button{position:relative;display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;width:100%;padding:var(--bs-accordion-btn-padding-y) var(--bs-accordion-btn-padding-x);font-size:1rem;color:var(--bs-accordion-btn-color);text-align:left;background-color:var(--bs-accordion-btn-bg);border:0;border-radius:0;overflow-anchor:none;transition:var(--bs-accordion-transition)}@media (prefers-reduced-motion: reduce){.accordion-button{transition:none}}.accordion-button:not(.collapsed){color:var(--bs-accordion-active-color);background-color:var(--bs-accordion-active-bg);box-shadow:inset 0 calc(-1 * var(--bs-accordion-border-width)) 0 var(--bs-accordion-border-color)}.accordion-button:not(.collapsed)::after{background-image:var(--bs-accordion-btn-active-icon);transform:var(--bs-accordion-btn-icon-transform)}.accordion-button::after{flex-shrink:0;-webkit-flex-shrink:0;width:var(--bs-accordion-btn-icon-width);height:var(--bs-accordion-btn-icon-width);margin-left:auto;content:"";background-image:var(--bs-accordion-btn-icon);background-repeat:no-repeat;background-size:var(--bs-accordion-btn-icon-width);transition:var(--bs-accordion-btn-icon-transition)}@media (prefers-reduced-motion: reduce){.accordion-button::after{transition:none}}.accordion-button:hover{z-index:2}.accordion-button:focus{z-index:3;border-color:var(--bs-accordion-btn-focus-border-color);outline:0;box-shadow:var(--bs-accordion-btn-focus-box-shadow)}.accordion-header{margin-bottom:0}.accordion-item{color:var(--bs-accordion-color);background-color:var(--bs-accordion-bg);border:var(--bs-accordion-border-width) solid var(--bs-accordion-border-color)}.accordion-item:first-of-type{border-top-left-radius:var(--bs-accordion-border-radius);border-top-right-radius:var(--bs-accordion-border-radius)}.accordion-item:first-of-type .accordion-button{border-top-left-radius:var(--bs-accordion-inner-border-radius);border-top-right-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:not(:first-of-type){border-top:0}.accordion-item:last-of-type{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-item:last-of-type .accordion-button.collapsed{border-bottom-right-radius:var(--bs-accordion-inner-border-radius);border-bottom-left-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:last-of-type .accordion-collapse{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-body{padding:var(--bs-accordion-body-padding-y) var(--bs-accordion-body-padding-x)}.accordion-flush .accordion-collapse{border-width:0}.accordion-flush .accordion-item{border-right:0;border-left:0;border-radius:0}.accordion-flush .accordion-item:first-child{border-top:0}.accordion-flush .accordion-item:last-child{border-bottom:0}.accordion-flush .accordion-item .accordion-button,.accordion-flush .accordion-item .accordion-button.collapsed{border-radius:0}[data-bs-theme="dark"] .accordion-button::after{--bs-accordion-btn-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%236ea8fe'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-active-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%236ea8fe'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e")}.breadcrumb{--bs-breadcrumb-padding-x: 0;--bs-breadcrumb-padding-y: 0;--bs-breadcrumb-margin-bottom: 1rem;--bs-breadcrumb-bg: ;--bs-breadcrumb-border-radius: ;--bs-breadcrumb-divider-color: var(--bs-secondary-color);--bs-breadcrumb-item-padding-x: .5rem;--bs-breadcrumb-item-active-color: var(--bs-secondary-color);display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;padding:var(--bs-breadcrumb-padding-y) var(--bs-breadcrumb-padding-x);margin-bottom:var(--bs-breadcrumb-margin-bottom);font-size:var(--bs-breadcrumb-font-size);list-style:none;background-color:var(--bs-breadcrumb-bg);border-radius:var(--bs-breadcrumb-border-radius)}.breadcrumb-item+.breadcrumb-item{padding-left:var(--bs-breadcrumb-item-padding-x)}.breadcrumb-item+.breadcrumb-item::before{float:left;padding-right:var(--bs-breadcrumb-item-padding-x);color:var(--bs-breadcrumb-divider-color);content:var(--bs-breadcrumb-divider, "/") /* rtl: var(--bs-breadcrumb-divider, "/") */}.breadcrumb-item.active{color:var(--bs-breadcrumb-item-active-color)}.pagination{--bs-pagination-padding-x: .75rem;--bs-pagination-padding-y: .375rem;--bs-pagination-font-size:1rem;--bs-pagination-color: var(--bs-link-color);--bs-pagination-bg: var(--bs-body-bg);--bs-pagination-border-width: var(--bs-border-width);--bs-pagination-border-color: var(--bs-border-color);--bs-pagination-border-radius: var(--bs-border-radius);--bs-pagination-hover-color: var(--bs-link-hover-color);--bs-pagination-hover-bg: var(--bs-tertiary-bg);--bs-pagination-hover-border-color: var(--bs-border-color);--bs-pagination-focus-color: var(--bs-link-hover-color);--bs-pagination-focus-bg: var(--bs-secondary-bg);--bs-pagination-focus-box-shadow: 0 0 0 .25rem rgba(13,110,253,0.25);--bs-pagination-active-color: #fff;--bs-pagination-active-bg: #0d6efd;--bs-pagination-active-border-color: #0d6efd;--bs-pagination-disabled-color: var(--bs-secondary-color);--bs-pagination-disabled-bg: var(--bs-secondary-bg);--bs-pagination-disabled-border-color: var(--bs-border-color);display:flex;display:-webkit-flex;padding-left:0;list-style:none}.page-link{position:relative;display:block;padding:var(--bs-pagination-padding-y) var(--bs-pagination-padding-x);font-size:var(--bs-pagination-font-size);color:var(--bs-pagination-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background-color:var(--bs-pagination-bg);border:var(--bs-pagination-border-width) solid var(--bs-pagination-border-color);transition:color 0.15s ease-in-out,background-color 0.15s ease-in-out,border-color 0.15s ease-in-out,box-shadow 0.15s ease-in-out}@media (prefers-reduced-motion: reduce){.page-link{transition:none}}.page-link:hover{z-index:2;color:var(--bs-pagination-hover-color);background-color:var(--bs-pagination-hover-bg);border-color:var(--bs-pagination-hover-border-color)}.page-link:focus{z-index:3;color:var(--bs-pagination-focus-color);background-color:var(--bs-pagination-focus-bg);outline:0;box-shadow:var(--bs-pagination-focus-box-shadow)}.page-link.active,.active>.page-link{z-index:3;color:var(--bs-pagination-active-color);background-color:var(--bs-pagination-active-bg);border-color:var(--bs-pagination-active-border-color)}.page-link.disabled,.disabled>.page-link{color:var(--bs-pagination-disabled-color);pointer-events:none;background-color:var(--bs-pagination-disabled-bg);border-color:var(--bs-pagination-disabled-border-color)}.page-item:not(:first-child) .page-link{margin-left:calc(var(--bs-border-width) * -1)}.page-item:first-child .page-link{border-top-left-radius:var(--bs-pagination-border-radius);border-bottom-left-radius:var(--bs-pagination-border-radius)}.page-item:last-child .page-link{border-top-right-radius:var(--bs-pagination-border-radius);border-bottom-right-radius:var(--bs-pagination-border-radius)}.pagination-lg{--bs-pagination-padding-x: 1.5rem;--bs-pagination-padding-y: .75rem;--bs-pagination-font-size:1.25rem;--bs-pagination-border-radius: var(--bs-border-radius-lg)}.pagination-sm{--bs-pagination-padding-x: .5rem;--bs-pagination-padding-y: .25rem;--bs-pagination-font-size:.875rem;--bs-pagination-border-radius: var(--bs-border-radius-sm)}.badge{--bs-badge-padding-x: .65em;--bs-badge-padding-y: .35em;--bs-badge-font-size:.75em;--bs-badge-font-weight: 700;--bs-badge-color: #fff;--bs-badge-border-radius: var(--bs-border-radius);display:inline-block;padding:var(--bs-badge-padding-y) var(--bs-badge-padding-x);font-size:var(--bs-badge-font-size);font-weight:var(--bs-badge-font-weight);line-height:1;color:var(--bs-badge-color);text-align:center;white-space:nowrap;vertical-align:baseline;border-radius:var(--bs-badge-border-radius)}.badge:empty{display:none}.btn .badge{position:relative;top:-1px}.alert{--bs-alert-bg: transparent;--bs-alert-padding-x: 1rem;--bs-alert-padding-y: 1rem;--bs-alert-margin-bottom: 1rem;--bs-alert-color: inherit;--bs-alert-border-color: transparent;--bs-alert-border: var(--bs-border-width) solid var(--bs-alert-border-color);--bs-alert-border-radius: var(--bs-border-radius);--bs-alert-link-color: inherit;position:relative;padding:var(--bs-alert-padding-y) var(--bs-alert-padding-x);margin-bottom:var(--bs-alert-margin-bottom);color:var(--bs-alert-color);background-color:var(--bs-alert-bg);border:var(--bs-alert-border);border-radius:var(--bs-alert-border-radius)}.alert-heading{color:inherit}.alert-link{font-weight:700;color:var(--bs-alert-link-color)}.alert-dismissible{padding-right:3rem}.alert-dismissible .btn-close{position:absolute;top:0;right:0;z-index:2;padding:1.25rem 1rem}.alert-default{--bs-alert-color: var(--bs-default-text-emphasis);--bs-alert-bg: var(--bs-default-bg-subtle);--bs-alert-border-color: var(--bs-default-border-subtle);--bs-alert-link-color: var(--bs-default-text-emphasis)}.alert-primary{--bs-alert-color: var(--bs-primary-text-emphasis);--bs-alert-bg: var(--bs-primary-bg-subtle);--bs-alert-border-color: var(--bs-primary-border-subtle);--bs-alert-link-color: var(--bs-primary-text-emphasis)}.alert-secondary{--bs-alert-color: var(--bs-secondary-text-emphasis);--bs-alert-bg: var(--bs-secondary-bg-subtle);--bs-alert-border-color: var(--bs-secondary-border-subtle);--bs-alert-link-color: var(--bs-secondary-text-emphasis)}.alert-success{--bs-alert-color: var(--bs-success-text-emphasis);--bs-alert-bg: var(--bs-success-bg-subtle);--bs-alert-border-color: var(--bs-success-border-subtle);--bs-alert-link-color: var(--bs-success-text-emphasis)}.alert-info{--bs-alert-color: var(--bs-info-text-emphasis);--bs-alert-bg: var(--bs-info-bg-subtle);--bs-alert-border-color: var(--bs-info-border-subtle);--bs-alert-link-color: var(--bs-info-text-emphasis)}.alert-warning{--bs-alert-color: var(--bs-warning-text-emphasis);--bs-alert-bg: var(--bs-warning-bg-subtle);--bs-alert-border-color: var(--bs-warning-border-subtle);--bs-alert-link-color: var(--bs-warning-text-emphasis)}.alert-danger{--bs-alert-color: var(--bs-danger-text-emphasis);--bs-alert-bg: var(--bs-danger-bg-subtle);--bs-alert-border-color: var(--bs-danger-border-subtle);--bs-alert-link-color: var(--bs-danger-text-emphasis)}.alert-light{--bs-alert-color: var(--bs-light-text-emphasis);--bs-alert-bg: var(--bs-light-bg-subtle);--bs-alert-border-color: var(--bs-light-border-subtle);--bs-alert-link-color: var(--bs-light-text-emphasis)}.alert-dark{--bs-alert-color: var(--bs-dark-text-emphasis);--bs-alert-bg: var(--bs-dark-bg-subtle);--bs-alert-border-color: var(--bs-dark-border-subtle);--bs-alert-link-color: var(--bs-dark-text-emphasis)}@keyframes progress-bar-stripes{0%{background-position-x:1rem}}.progress,.progress-stacked{--bs-progress-height: 1rem;--bs-progress-font-size:.75rem;--bs-progress-bg: var(--bs-secondary-bg);--bs-progress-border-radius: var(--bs-border-radius);--bs-progress-box-shadow: var(--bs-box-shadow-inset);--bs-progress-bar-color: #fff;--bs-progress-bar-bg: #0d6efd;--bs-progress-bar-transition: width 0.6s ease;display:flex;display:-webkit-flex;height:var(--bs-progress-height);overflow:hidden;font-size:var(--bs-progress-font-size);background-color:var(--bs-progress-bg);border-radius:var(--bs-progress-border-radius)}.progress-bar{display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;justify-content:center;-webkit-justify-content:center;overflow:hidden;color:var(--bs-progress-bar-color);text-align:center;white-space:nowrap;background-color:var(--bs-progress-bar-bg);transition:var(--bs-progress-bar-transition)}@media (prefers-reduced-motion: reduce){.progress-bar{transition:none}}.progress-bar-striped{background-image:linear-gradient(45deg, rgba(255,255,255,0.15) 25%, transparent 25%, transparent 50%, rgba(255,255,255,0.15) 50%, rgba(255,255,255,0.15) 75%, transparent 75%, transparent);background-size:var(--bs-progress-height) var(--bs-progress-height)}.progress-stacked>.progress{overflow:visible}.progress-stacked>.progress>.progress-bar{width:100%}.progress-bar-animated{animation:1s linear infinite progress-bar-stripes}@media (prefers-reduced-motion: reduce){.progress-bar-animated{animation:none}}.list-group{--bs-list-group-color: var(--bs-body-color);--bs-list-group-bg: var(--bs-body-bg);--bs-list-group-border-color: var(--bs-border-color);--bs-list-group-border-width: var(--bs-border-width);--bs-list-group-border-radius: var(--bs-border-radius);--bs-list-group-item-padding-x: 1rem;--bs-list-group-item-padding-y: .5rem;--bs-list-group-action-color: var(--bs-secondary-color);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-tertiary-bg);--bs-list-group-action-active-color: var(--bs-body-color);--bs-list-group-action-active-bg: var(--bs-secondary-bg);--bs-list-group-disabled-color: var(--bs-secondary-color);--bs-list-group-disabled-bg: 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0.25rem;line-height:1.3}.algolia-autocomplete .aa-dropdown-menu .aa-suggestion:hover{background-color:var(--bs-tertiary-bg);color:var(--bs-body-color)}.algolia-autocomplete .aa-dropdown-menu .aa-suggestion .search-details{text-decoration:underline;display:inline}span.smallcaps{font-variant:small-caps}ul.task-list{list-style:none}ul.task-list li input[type="checkbox"]{width:0.8em;margin:0 0.8em 0.2em -1em;vertical-align:middle}figure.figure{display:block}.quarto-layout-panel{margin-bottom:1em}.quarto-layout-panel>figure{width:100%}.quarto-layout-panel>figure>figcaption,.quarto-layout-panel>.panel-caption{margin-top:10pt}.quarto-layout-panel>.table-caption{margin-top:0px}.table-caption p{margin-bottom:0.5em}.quarto-layout-row{display:flex;flex-direction:row;align-items:flex-start}.quarto-layout-valign-top{align-items:flex-start}.quarto-layout-valign-bottom{align-items:flex-end}.quarto-layout-valign-center{align-items:center}.quarto-layout-cell{position:relative;margin-right:20px}.quarto-layout-cell:last-child{margin-right:0}.quarto-layout-cell figure,.quarto-layout-cell>p{margin:0.2em}.quarto-layout-cell img{max-width:100%}.quarto-layout-cell .html-widget{width:100% !important}.quarto-layout-cell div figure p{margin:0}.quarto-layout-cell figure{display:block;margin-inline-start:0;margin-inline-end:0}.quarto-layout-cell table{display:inline-table}.quarto-layout-cell-subref figcaption,figure .quarto-layout-row figure figcaption{text-align:center;font-style:italic}.quarto-figure{position:relative;margin-bottom:1em}.quarto-figure>figure{width:100%;margin-bottom:0}.quarto-figure-left>figure>p,.quarto-figure-left>figure>div{text-align:left}.quarto-figure-center>figure>p,.quarto-figure-center>figure>div{text-align:center}.quarto-figure-right>figure>p,.quarto-figure-right>figure>div{text-align:right}.quarto-figure>figure>div.cell-annotation,.quarto-figure>figure>div code{text-align:left}figure>p:empty{display:none}figure>p:first-child{margin-top:0;margin-bottom:0}figure>figcaption.quarto-float-caption-bottom{margin-bottom:0.5em}figure>figcaption.quarto-float-caption-top{margin-top:0.5em}:root{--mermaid-bg-color: transparent;--mermaid-edge-color: var(--bs-secondary);--mermaid-fg-color: var(--bs-body-color);--mermaid-fg-color--lighter: RGBA(var(--bs-body-color-rgb), 0.9);--mermaid-fg-color--lightest: RGBA(var(--bs-body-color-rgb), 0.8);--mermaid-font-family: 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diff --git a/docs/deps/data-deps.txt b/docs/deps/data-deps.txt
index 1b877ae22..ca4dfd9c5 100644
--- a/docs/deps/data-deps.txt
+++ b/docs/deps/data-deps.txt
@@ -1,4 +1,4 @@
-<script src="deps/jquery-3.6.1/jquery-3.6.1.min.js"></script>
+<script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script>
 <meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no" />
 <link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet" />
 <script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script>
diff --git a/docs/deps/jquery-3.6.1/jquery-3.6.1.js b/docs/deps/jquery-3.6.0/jquery-3.6.0.js
similarity index 98%
rename from docs/deps/jquery-3.6.1/jquery-3.6.1.js
rename to docs/deps/jquery-3.6.0/jquery-3.6.0.js
index 034a54527..fc6c299b7 100644
--- a/docs/deps/jquery-3.6.1/jquery-3.6.1.js
+++ b/docs/deps/jquery-3.6.0/jquery-3.6.0.js
@@ -1,5 +1,5 @@
 /*!
- * jQuery JavaScript Library v3.6.1
+ * jQuery JavaScript Library v3.6.0
  * https://jquery.com/
  *
  * Includes Sizzle.js
@@ -8,6 +8,8 @@
  * Copyright OpenJS Foundation and other contributors
  * Released under the MIT license
  * https://jquery.org/license
+ *
+ * Date: 2021-03-02T17:08Z
  */
 ( function( global, factory ) {
 
@@ -21,7 +23,7 @@
 		// (such as Node.js), expose a factory as module.exports.
 		// This accentuates the need for the creation of a real `window`.
 		// e.g. var jQuery = require("jquery")(window);
-		// See ticket trac-14549 for more info.
+		// See ticket #14549 for more info.
 		module.exports = global.document ?
 			factory( global, true ) :
 			function( w ) {
@@ -149,7 +151,7 @@ function toType( obj ) {
 
 
 var
-	version = "3.6.1",
+	version = "3.6.0",
 
 	// Define a local copy of jQuery
 	jQuery = function( selector, context ) {
@@ -3127,8 +3129,8 @@ jQuery.fn.extend( {
 var rootjQuery,
 
 	// A simple way to check for HTML strings
-	// Prioritize #id over <tag> to avoid XSS via location.hash (trac-9521)
-	// Strict HTML recognition (trac-11290: must start with <)
+	// Prioritize #id over <tag> to avoid XSS via location.hash (#9521)
+	// Strict HTML recognition (#11290: must start with <)
 	// Shortcut simple #id case for speed
 	rquickExpr = /^(?:\s*(<[\w\W]+>)[^>]*|#([\w-]+))$/,
 
@@ -4085,7 +4087,7 @@ jQuery.extend( {
 	isReady: false,
 
 	// A counter to track how many items to wait for before
-	// the ready event fires. See trac-6781
+	// the ready event fires. See #6781
 	readyWait: 1,
 
 	// Handle when the DOM is ready
@@ -4213,7 +4215,7 @@ function fcamelCase( _all, letter ) {
 
 // Convert dashed to camelCase; used by the css and data modules
 // Support: IE <=9 - 11, Edge 12 - 15
-// Microsoft forgot to hump their vendor prefix (trac-9572)
+// Microsoft forgot to hump their vendor prefix (#9572)
 function camelCase( string ) {
 	return string.replace( rmsPrefix, "ms-" ).replace( rdashAlpha, fcamelCase );
 }
@@ -4249,7 +4251,7 @@ Data.prototype = {
 			value = {};
 
 			// We can accept data for non-element nodes in modern browsers,
-			// but we should not, see trac-8335.
+			// but we should not, see #8335.
 			// Always return an empty object.
 			if ( acceptData( owner ) ) {
 
@@ -4488,7 +4490,7 @@ jQuery.fn.extend( {
 					while ( i-- ) {
 
 						// Support: IE 11 only
-						// The attrs elements can be null (trac-14894)
+						// The attrs elements can be null (#14894)
 						if ( attrs[ i ] ) {
 							name = attrs[ i ].name;
 							if ( name.indexOf( "data-" ) === 0 ) {
@@ -4911,9 +4913,9 @@ var rscriptType = ( /^$|^module$|\/(?:java|ecma)script/i );
 		input = document.createElement( "input" );
 
 	// Support: Android 4.0 - 4.3 only
-	// Check state lost if the name is set (trac-11217)
+	// Check state lost if the name is set (#11217)
 	// Support: Windows Web Apps (WWA)
-	// `name` and `type` must use .setAttribute for WWA (trac-14901)
+	// `name` and `type` must use .setAttribute for WWA (#14901)
 	input.setAttribute( "type", "radio" );
 	input.setAttribute( "checked", "checked" );
 	input.setAttribute( "name", "t" );
@@ -4937,7 +4939,7 @@ var rscriptType = ( /^$|^module$|\/(?:java|ecma)script/i );
 } )();
 
 
-// We have to close these tags to support XHTML (trac-13200)
+// We have to close these tags to support XHTML (#13200)
 var wrapMap = {
 
 	// XHTML parsers do not magically insert elements in the
@@ -4963,7 +4965,7 @@ if ( !support.option ) {
 function getAll( context, tag ) {
 
 	// Support: IE <=9 - 11 only
-	// Use typeof to avoid zero-argument method invocation on host objects (trac-15151)
+	// Use typeof to avoid zero-argument method invocation on host objects (#15151)
 	var ret;
 
 	if ( typeof context.getElementsByTagName !== "undefined" ) {
@@ -5046,7 +5048,7 @@ function buildFragment( elems, context, scripts, selection, ignored ) {
 				// Remember the top-level container
 				tmp = fragment.firstChild;
 
-				// Ensure the created nodes are orphaned (trac-12392)
+				// Ensure the created nodes are orphaned (#12392)
 				tmp.textContent = "";
 			}
 		}
@@ -5467,15 +5469,15 @@ jQuery.event = {
 
 			for ( ; cur !== this; cur = cur.parentNode || this ) {
 
-				// Don't check non-elements (trac-13208)
-				// Don't process clicks on disabled elements (trac-6911, trac-8165, trac-11382, trac-11764)
+				// Don't check non-elements (#13208)
+				// Don't process clicks on disabled elements (#6911, #8165, #11382, #11764)
 				if ( cur.nodeType === 1 && !( event.type === "click" && cur.disabled === true ) ) {
 					matchedHandlers = [];
 					matchedSelectors = {};
 					for ( i = 0; i < delegateCount; i++ ) {
 						handleObj = handlers[ i ];
 
-						// Don't conflict with Object.prototype properties (trac-13203)
+						// Don't conflict with Object.prototype properties (#13203)
 						sel = handleObj.selector + " ";
 
 						if ( matchedSelectors[ sel ] === undefined ) {
@@ -5729,7 +5731,7 @@ jQuery.Event = function( src, props ) {
 
 		// Create target properties
 		// Support: Safari <=6 - 7 only
-		// Target should not be a text node (trac-504, trac-13143)
+		// Target should not be a text node (#504, #13143)
 		this.target = ( src.target && src.target.nodeType === 3 ) ?
 			src.target.parentNode :
 			src.target;
@@ -5852,10 +5854,10 @@ jQuery.each( { focus: "focusin", blur: "focusout" }, function( type, delegateTyp
 			return true;
 		},
 
-		// Suppress native focus or blur if we're currently inside
-		// a leveraged native-event stack
-		_default: function( event ) {
-			return dataPriv.get( event.target, type );
+		// Suppress native focus or blur as it's already being fired
+		// in leverageNative.
+		_default: function() {
+			return true;
 		},
 
 		delegateType: delegateType
@@ -5954,8 +5956,7 @@ var
 
 	// checked="checked" or checked
 	rchecked = /checked\s*(?:[^=]|=\s*.checked.)/i,
-
-	rcleanScript = /^\s*<!\[CDATA\[|\]\]>\s*$/g;
+	rcleanScript = /^\s*<!(?:\[CDATA\[|--)|(?:\]\]|--)>\s*$/g;
 
 // Prefer a tbody over its parent table for containing new rows
 function manipulationTarget( elem, content ) {
@@ -6069,7 +6070,7 @@ function domManip( collection, args, callback, ignored ) {
 
 			// Use the original fragment for the last item
 			// instead of the first because it can end up
-			// being emptied incorrectly in certain situations (trac-8070).
+			// being emptied incorrectly in certain situations (#8070).
 			for ( ; i < l; i++ ) {
 				node = fragment;
 
@@ -6110,12 +6111,6 @@ function domManip( collection, args, callback, ignored ) {
 								}, doc );
 							}
 						} else {
-
-							// Unwrap a CDATA section containing script contents. This shouldn't be
-							// needed as in XML documents they're already not visible when
-							// inspecting element contents and in HTML documents they have no
-							// meaning but we're preserving that logic for backwards compatibility.
-							// This will be removed completely in 4.0. See gh-4904.
 							DOMEval( node.textContent.replace( rcleanScript, "" ), node, doc );
 						}
 					}
@@ -6398,12 +6393,9 @@ jQuery.each( {
 } );
 var rnumnonpx = new RegExp( "^(" + pnum + ")(?!px)[a-z%]+$", "i" );
 
-var rcustomProp = /^--/;
-
-
 var getStyles = function( elem ) {
 
-		// Support: IE <=11 only, Firefox <=30 (trac-15098, trac-14150)
+		// Support: IE <=11 only, Firefox <=30 (#15098, #14150)
 		// IE throws on elements created in popups
 		// FF meanwhile throws on frame elements through "defaultView.getComputedStyle"
 		var view = elem.ownerDocument.defaultView;
@@ -6438,15 +6430,6 @@ var swap = function( elem, options, callback ) {
 
 var rboxStyle = new RegExp( cssExpand.join( "|" ), "i" );
 
-var whitespace = "[\\x20\\t\\r\\n\\f]";
-
-
-var rtrimCSS = new RegExp(
-	"^" + whitespace + "+|((?:^|[^\\\\])(?:\\\\.)*)" + whitespace + "+$",
-	"g"
-);
-
-
 
 
 ( function() {
@@ -6512,7 +6495,7 @@ var rtrimCSS = new RegExp(
 	}
 
 	// Support: IE <=9 - 11 only
-	// Style of cloned element affects source element cloned (trac-8908)
+	// Style of cloned element affects source element cloned (#8908)
 	div.style.backgroundClip = "content-box";
 	div.cloneNode( true ).style.backgroundClip = "";
 	support.clearCloneStyle = div.style.backgroundClip === "content-box";
@@ -6592,7 +6575,6 @@ var rtrimCSS = new RegExp(
 
 function curCSS( elem, name, computed ) {
 	var width, minWidth, maxWidth, ret,
-		isCustomProp = rcustomProp.test( name ),
 
 		// Support: Firefox 51+
 		// Retrieving style before computed somehow
@@ -6603,22 +6585,11 @@ function curCSS( elem, name, computed ) {
 	computed = computed || getStyles( elem );
 
 	// getPropertyValue is needed for:
-	//   .css('filter') (IE 9 only, trac-12537)
-	//   .css('--customProperty) (gh-3144)
+	//   .css('filter') (IE 9 only, #12537)
+	//   .css('--customProperty) (#3144)
 	if ( computed ) {
 		ret = computed.getPropertyValue( name ) || computed[ name ];
 
-		// trim whitespace for custom property (issue gh-4926)
-		if ( isCustomProp ) {
-
-			// rtrim treats U+000D CARRIAGE RETURN and U+000C FORM FEED
-			// as whitespace while CSS does not, but this is not a problem
-			// because CSS preprocessing replaces them with U+000A LINE FEED
-			// (which *is* CSS whitespace)
-			// https://www.w3.org/TR/css-syntax-3/#input-preprocessing
-			ret = ret.replace( rtrimCSS, "$1" );
-		}
-
 		if ( ret === "" && !isAttached( elem ) ) {
 			ret = jQuery.style( elem, name );
 		}
@@ -6714,6 +6685,7 @@ var
 	// except "table", "table-cell", or "table-caption"
 	// See here for display values: https://developer.mozilla.org/en-US/docs/CSS/display
 	rdisplayswap = /^(none|table(?!-c[ea]).+)/,
+	rcustomProp = /^--/,
 	cssShow = { position: "absolute", visibility: "hidden", display: "block" },
 	cssNormalTransform = {
 		letterSpacing: "0",
@@ -6949,15 +6921,15 @@ jQuery.extend( {
 		if ( value !== undefined ) {
 			type = typeof value;
 
-			// Convert "+=" or "-=" to relative numbers (trac-7345)
+			// Convert "+=" or "-=" to relative numbers (#7345)
 			if ( type === "string" && ( ret = rcssNum.exec( value ) ) && ret[ 1 ] ) {
 				value = adjustCSS( elem, name, ret );
 
-				// Fixes bug trac-9237
+				// Fixes bug #9237
 				type = "number";
 			}
 
-			// Make sure that null and NaN values aren't set (trac-7116)
+			// Make sure that null and NaN values aren't set (#7116)
 			if ( value == null || value !== value ) {
 				return;
 			}
@@ -7581,7 +7553,7 @@ function Animation( elem, properties, options ) {
 				remaining = Math.max( 0, animation.startTime + animation.duration - currentTime ),
 
 				// Support: Android 2.3 only
-				// Archaic crash bug won't allow us to use `1 - ( 0.5 || 0 )` (trac-12497)
+				// Archaic crash bug won't allow us to use `1 - ( 0.5 || 0 )` (#12497)
 				temp = remaining / animation.duration || 0,
 				percent = 1 - temp,
 				index = 0,
@@ -7971,6 +7943,7 @@ jQuery.fx.speeds = {
 
 
 // Based off of the plugin by Clint Helfers, with permission.
+// https://web.archive.org/web/20100324014747/http://blindsignals.com/index.php/2009/07/jquery-delay/
 jQuery.fn.delay = function( time, type ) {
 	time = jQuery.fx ? jQuery.fx.speeds[ time ] || time : time;
 	type = type || "fx";
@@ -8195,7 +8168,8 @@ jQuery.extend( {
 				// Support: IE <=9 - 11 only
 				// elem.tabIndex doesn't always return the
 				// correct value when it hasn't been explicitly set
-				// Use proper attribute retrieval (trac-12072)
+				// https://web.archive.org/web/20141116233347/http://fluidproject.org/blog/2008/01/09/getting-setting-and-removing-tabindex-values-with-javascript/
+				// Use proper attribute retrieval(#12072)
 				var tabindex = jQuery.find.attr( elem, "tabindex" );
 
 				if ( tabindex ) {
@@ -8299,7 +8273,8 @@ function classesToArray( value ) {
 
 jQuery.fn.extend( {
 	addClass: function( value ) {
-		var classNames, cur, curValue, className, i, finalValue;
+		var classes, elem, cur, curValue, clazz, j, finalValue,
+			i = 0;
 
 		if ( isFunction( value ) ) {
 			return this.each( function( j ) {
@@ -8307,35 +8282,36 @@ jQuery.fn.extend( {
 			} );
 		}
 
-		classNames = classesToArray( value );
+		classes = classesToArray( value );
 
-		if ( classNames.length ) {
-			return this.each( function() {
-				curValue = getClass( this );
-				cur = this.nodeType === 1 && ( " " + stripAndCollapse( curValue ) + " " );
+		if ( classes.length ) {
+			while ( ( elem = this[ i++ ] ) ) {
+				curValue = getClass( elem );
+				cur = elem.nodeType === 1 && ( " " + stripAndCollapse( curValue ) + " " );
 
 				if ( cur ) {
-					for ( i = 0; i < classNames.length; i++ ) {
-						className = classNames[ i ];
-						if ( cur.indexOf( " " + className + " " ) < 0 ) {
-							cur += className + " ";
+					j = 0;
+					while ( ( clazz = classes[ j++ ] ) ) {
+						if ( cur.indexOf( " " + clazz + " " ) < 0 ) {
+							cur += clazz + " ";
 						}
 					}
 
 					// Only assign if different to avoid unneeded rendering.
 					finalValue = stripAndCollapse( cur );
 					if ( curValue !== finalValue ) {
-						this.setAttribute( "class", finalValue );
+						elem.setAttribute( "class", finalValue );
 					}
 				}
-			} );
+			}
 		}
 
 		return this;
 	},
 
 	removeClass: function( value ) {
-		var classNames, cur, curValue, className, i, finalValue;
+		var classes, elem, cur, curValue, clazz, j, finalValue,
+			i = 0;
 
 		if ( isFunction( value ) ) {
 			return this.each( function( j ) {
@@ -8347,42 +8323,45 @@ jQuery.fn.extend( {
 			return this.attr( "class", "" );
 		}
 
-		classNames = classesToArray( value );
+		classes = classesToArray( value );
 
-		if ( classNames.length ) {
-			return this.each( function() {
-				curValue = getClass( this );
+		if ( classes.length ) {
+			while ( ( elem = this[ i++ ] ) ) {
+				curValue = getClass( elem );
 
 				// This expression is here for better compressibility (see addClass)
-				cur = this.nodeType === 1 && ( " " + stripAndCollapse( curValue ) + " " );
+				cur = elem.nodeType === 1 && ( " " + stripAndCollapse( curValue ) + " " );
 
 				if ( cur ) {
-					for ( i = 0; i < classNames.length; i++ ) {
-						className = classNames[ i ];
+					j = 0;
+					while ( ( clazz = classes[ j++ ] ) ) {
 
 						// Remove *all* instances
-						while ( cur.indexOf( " " + className + " " ) > -1 ) {
-							cur = cur.replace( " " + className + " ", " " );
+						while ( cur.indexOf( " " + clazz + " " ) > -1 ) {
+							cur = cur.replace( " " + clazz + " ", " " );
 						}
 					}
 
 					// Only assign if different to avoid unneeded rendering.
 					finalValue = stripAndCollapse( cur );
 					if ( curValue !== finalValue ) {
-						this.setAttribute( "class", finalValue );
+						elem.setAttribute( "class", finalValue );
 					}
 				}
-			} );
+			}
 		}
 
 		return this;
 	},
 
 	toggleClass: function( value, stateVal ) {
-		var classNames, className, i, self,
-			type = typeof value,
+		var type = typeof value,
 			isValidValue = type === "string" || Array.isArray( value );
 
+		if ( typeof stateVal === "boolean" && isValidValue ) {
+			return stateVal ? this.addClass( value ) : this.removeClass( value );
+		}
+
 		if ( isFunction( value ) ) {
 			return this.each( function( i ) {
 				jQuery( this ).toggleClass(
@@ -8392,20 +8371,17 @@ jQuery.fn.extend( {
 			} );
 		}
 
-		if ( typeof stateVal === "boolean" && isValidValue ) {
-			return stateVal ? this.addClass( value ) : this.removeClass( value );
-		}
-
-		classNames = classesToArray( value );
-
 		return this.each( function() {
+			var className, i, self, classNames;
+
 			if ( isValidValue ) {
 
 				// Toggle individual class names
+				i = 0;
 				self = jQuery( this );
+				classNames = classesToArray( value );
 
-				for ( i = 0; i < classNames.length; i++ ) {
-					className = classNames[ i ];
+				while ( ( className = classNames[ i++ ] ) ) {
 
 					// Check each className given, space separated list
 					if ( self.hasClass( className ) ) {
@@ -8539,7 +8515,7 @@ jQuery.extend( {
 					val :
 
 					// Support: IE <=10 - 11 only
-					// option.text throws exceptions (trac-14686, trac-14858)
+					// option.text throws exceptions (#14686, #14858)
 					// Strip and collapse whitespace
 					// https://html.spec.whatwg.org/#strip-and-collapse-whitespace
 					stripAndCollapse( jQuery.text( elem ) );
@@ -8566,7 +8542,7 @@ jQuery.extend( {
 					option = options[ i ];
 
 					// Support: IE <=9 only
-					// IE8-9 doesn't update selected after form reset (trac-2551)
+					// IE8-9 doesn't update selected after form reset (#2551)
 					if ( ( option.selected || i === index ) &&
 
 							// Don't return options that are disabled or in a disabled optgroup
@@ -8709,8 +8685,8 @@ jQuery.extend( jQuery.event, {
 			return;
 		}
 
-		// Determine event propagation path in advance, per W3C events spec (trac-9951)
-		// Bubble up to document, then to window; watch for a global ownerDocument var (trac-9724)
+		// Determine event propagation path in advance, per W3C events spec (#9951)
+		// Bubble up to document, then to window; watch for a global ownerDocument var (#9724)
 		if ( !onlyHandlers && !special.noBubble && !isWindow( elem ) ) {
 
 			bubbleType = special.delegateType || type;
@@ -8762,7 +8738,7 @@ jQuery.extend( jQuery.event, {
 				acceptData( elem ) ) {
 
 				// Call a native DOM method on the target with the same name as the event.
-				// Don't do default actions on window, that's where global variables be (trac-6170)
+				// Don't do default actions on window, that's where global variables be (#6170)
 				if ( ontype && isFunction( elem[ type ] ) && !isWindow( elem ) ) {
 
 					// Don't re-trigger an onFOO event when we call its FOO() method
@@ -9036,7 +9012,7 @@ var
 	rantiCache = /([?&])_=[^&]*/,
 	rheaders = /^(.*?):[ \t]*([^\r\n]*)$/mg,
 
-	// trac-7653, trac-8125, trac-8152: local protocol detection
+	// #7653, #8125, #8152: local protocol detection
 	rlocalProtocol = /^(?:about|app|app-storage|.+-extension|file|res|widget):$/,
 	rnoContent = /^(?:GET|HEAD)$/,
 	rprotocol = /^\/\//,
@@ -9059,7 +9035,7 @@ var
 	 */
 	transports = {},
 
-	// Avoid comment-prolog char sequence (trac-10098); must appease lint and evade compression
+	// Avoid comment-prolog char sequence (#10098); must appease lint and evade compression
 	allTypes = "*/".concat( "*" ),
 
 	// Anchor tag for parsing the document origin
@@ -9130,7 +9106,7 @@ function inspectPrefiltersOrTransports( structure, options, originalOptions, jqX
 
 // A special extend for ajax options
 // that takes "flat" options (not to be deep extended)
-// Fixes trac-9887
+// Fixes #9887
 function ajaxExtend( target, src ) {
 	var key, deep,
 		flatOptions = jQuery.ajaxSettings.flatOptions || {};
@@ -9541,12 +9517,12 @@ jQuery.extend( {
 		deferred.promise( jqXHR );
 
 		// Add protocol if not provided (prefilters might expect it)
-		// Handle falsy url in the settings object (trac-10093: consistency with old signature)
+		// Handle falsy url in the settings object (#10093: consistency with old signature)
 		// We also use the url parameter if available
 		s.url = ( ( url || s.url || location.href ) + "" )
 			.replace( rprotocol, location.protocol + "//" );
 
-		// Alias method option to type as per ticket trac-12004
+		// Alias method option to type as per ticket #12004
 		s.type = options.method || options.type || s.method || s.type;
 
 		// Extract dataTypes list
@@ -9589,7 +9565,7 @@ jQuery.extend( {
 		}
 
 		// We can fire global events as of now if asked to
-		// Don't fire events if jQuery.event is undefined in an AMD-usage scenario (trac-15118)
+		// Don't fire events if jQuery.event is undefined in an AMD-usage scenario (#15118)
 		fireGlobals = jQuery.event && s.global;
 
 		// Watch for a new set of requests
@@ -9618,7 +9594,7 @@ jQuery.extend( {
 			if ( s.data && ( s.processData || typeof s.data === "string" ) ) {
 				cacheURL += ( rquery.test( cacheURL ) ? "&" : "?" ) + s.data;
 
-				// trac-9682: remove data so that it's not used in an eventual retry
+				// #9682: remove data so that it's not used in an eventual retry
 				delete s.data;
 			}
 
@@ -9891,7 +9867,7 @@ jQuery._evalUrl = function( url, options, doc ) {
 	return jQuery.ajax( {
 		url: url,
 
-		// Make this explicit, since user can override this through ajaxSetup (trac-11264)
+		// Make this explicit, since user can override this through ajaxSetup (#11264)
 		type: "GET",
 		dataType: "script",
 		cache: true,
@@ -10000,7 +9976,7 @@ var xhrSuccessStatus = {
 		0: 200,
 
 		// Support: IE <=9 only
-		// trac-1450: sometimes IE returns 1223 when it should be 204
+		// #1450: sometimes IE returns 1223 when it should be 204
 		1223: 204
 	},
 	xhrSupported = jQuery.ajaxSettings.xhr();
@@ -10072,7 +10048,7 @@ jQuery.ajaxTransport( function( options ) {
 								} else {
 									complete(
 
-										// File: protocol always yields status 0; see trac-8605, trac-14207
+										// File: protocol always yields status 0; see #8605, #14207
 										xhr.status,
 										xhr.statusText
 									);
@@ -10133,7 +10109,7 @@ jQuery.ajaxTransport( function( options ) {
 					xhr.send( options.hasContent && options.data || null );
 				} catch ( e ) {
 
-					// trac-14683: Only rethrow if this hasn't been notified as an error yet
+					// #14683: Only rethrow if this hasn't been notified as an error yet
 					if ( callback ) {
 						throw e;
 					}
@@ -10777,9 +10753,7 @@ jQuery.each(
 
 // Support: Android <=4.0 only
 // Make sure we trim BOM and NBSP
-// Require that the "whitespace run" starts from a non-whitespace
-// to avoid O(N^2) behavior when the engine would try matching "\s+$" at each space position.
-var rtrim = /^[\s\uFEFF\xA0]+|([^\s\uFEFF\xA0])[\s\uFEFF\xA0]+$/g;
+var rtrim = /^[\s\uFEFF\xA0]+|[\s\uFEFF\xA0]+$/g;
 
 // Bind a function to a context, optionally partially applying any
 // arguments.
@@ -10846,7 +10820,7 @@ jQuery.isNumeric = function( obj ) {
 jQuery.trim = function( text ) {
 	return text == null ?
 		"" :
-		( text + "" ).replace( rtrim, "$1" );
+		( text + "" ).replace( rtrim, "" );
 };
 
 
@@ -10894,8 +10868,8 @@ jQuery.noConflict = function( deep ) {
 };
 
 // Expose jQuery and $ identifiers, even in AMD
-// (trac-7102#comment:10, https://github.com/jquery/jquery/pull/557)
-// and CommonJS for browser emulators (trac-13566)
+// (#7102#comment:10, https://github.com/jquery/jquery/pull/557)
+// and CommonJS for browser emulators (#13566)
 if ( typeof noGlobal === "undefined" ) {
 	window.jQuery = window.$ = jQuery;
 }
diff --git a/docs/deps/jquery-3.6.0/jquery-3.6.0.min.js b/docs/deps/jquery-3.6.0/jquery-3.6.0.min.js
new file mode 100644
index 000000000..c4c6022f2
--- /dev/null
+++ b/docs/deps/jquery-3.6.0/jquery-3.6.0.min.js
@@ -0,0 +1,2 @@
+/*! jQuery v3.6.0 | (c) OpenJS Foundation and other contributors | jquery.org/license */
+!function(e,t){"use strict";"object"==typeof module&&"object"==typeof module.exports?module.exports=e.document?t(e,!0):function(e){if(!e.document)throw new Error("jQuery requires a window with a document");return t(e)}:t(e)}("undefined"!=typeof window?window:this,function(C,e){"use strict";var t=[],r=Object.getPrototypeOf,s=t.slice,g=t.flat?function(e){return t.flat.call(e)}:function(e){return t.concat.apply([],e)},u=t.push,i=t.indexOf,n={},o=n.toString,v=n.hasOwnProperty,a=v.toString,l=a.call(Object),y={},m=function(e){return"function"==typeof e&&"number"!=typeof e.nodeType&&"function"!=typeof e.item},x=function(e){return null!=e&&e===e.window},E=C.document,c={type:!0,src:!0,nonce:!0,noModule:!0};function b(e,t,n){var r,i,o=(n=n||E).createElement("script");if(o.text=e,t)for(r in c)(i=t[r]||t.getAttribute&&t.getAttribute(r))&&o.setAttribute(r,i);n.head.appendChild(o).parentNode.removeChild(o)}function w(e){return null==e?e+"":"object"==typeof e||"function"==typeof e?n[o.call(e)]||"object":typeof e}var f="3.6.0",S=function(e,t){return new S.fn.init(e,t)};function p(e){var t=!!e&&"length"in e&&e.length,n=w(e);return!m(e)&&!x(e)&&("array"===n||0===t||"number"==typeof t&&0<t&&t-1 in e)}S.fn=S.prototype={jquery:f,constructor:S,length:0,toArray:function(){return s.call(this)},get:function(e){return null==e?s.call(this):e<0?this[e+this.length]:this[e]},pushStack:function(e){var t=S.merge(this.constructor(),e);return t.prevObject=this,t},each:function(e){return S.each(this,e)},map:function(n){return this.pushStack(S.map(this,function(e,t){return n.call(e,t,e)}))},slice:function(){return this.pushStack(s.apply(this,arguments))},first:function(){return this.eq(0)},last:function(){return this.eq(-1)},even:function(){return this.pushStack(S.grep(this,function(e,t){return(t+1)%2}))},odd:function(){return this.pushStack(S.grep(this,function(e,t){return t%2}))},eq:function(e){var t=this.length,n=+e+(e<0?t:0);return 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diff --git a/docs/deps/jquery-3.6.1/jquery-3.6.1.min.js b/docs/deps/jquery-3.6.1/jquery-3.6.1.min.js
deleted file mode 100644
index 2ec4ba8d2..000000000
--- a/docs/deps/jquery-3.6.1/jquery-3.6.1.min.js
+++ /dev/null
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\ No newline at end of file
diff --git a/docs/index.html b/docs/index.html
index 0529fb68d..f881a68d4 100644
--- a/docs/index.html
+++ b/docs/index.html
@@ -38,7 +38,7 @@
 
     <a class="navbar-brand me-2" href="index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -61,13 +61,22 @@
     <li><a class="dropdown-item" href="articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="articles/extension-packages.html">Creating a mizer extension package</a></li>
+    <li><a class="dropdown-item" href="articles/extension-chain.html">Using mizer extension packages</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -103,12 +112,12 @@
 </nav><div class="container template-home">
 <div class="row">
   <main id="main" class="col-md-9"><div style="text-align: center;">
-<p><img src="reference/figures/mizer.png" style="height: 50%; width: 50%; object-fit: contain" title="mizer logo created by Kira Askaroff (www.kiraaskaroff.com)"></p>
+<p><img src="reference/figures/mizer.png" style="height: 50%; width: 50%; object-fit: contain" title="mizer logo created by Kira Askaroff (www.kiraaskaroff.com)" alt="mizer logo"></p>
 <p><a href="https://cran.r-project.org/package=mizer" class="external-link"><img src="https://www.r-pkg.org/badges/version-ago/mizer" alt="CRAN Status"></a> <a href="https://cran.r-project.org/package=mizer" class="external-link"><img src="http://cranlogs.r-pkg.org/badges/grand-total/mizer" alt="CRAN Downloads"></a> <a href="https://cran.r-project.org/package=mizer" class="external-link"><img src="http://cranlogs.r-pkg.org/badges/mizer" alt="CRAN Downloads"></a> <a href="https://app.codecov.io/github/sizespectrum/mizer?branch=master" class="external-link"><img src="https://codecov.io/gh/sizespectrum/mizer/branch/master/graph/badge.svg" alt="Coverage status"></a></p>
 </div>
 <p>Mizer is an R package to run <a href="#dynamic-multi-species-size-spectrum-models">dynamic multi-species size-spectrum models</a> of fish communities. The package has been developed to model marine ecosystems that are subject to fishing. However, it may also be appropriate for other aquatic ecosystems. By providing a framework for multi-species fisheries modelling as an R package, mizer enhances the accessibility, usability, and reproducibility of models, and thus aims to facilitate collaboration and innovation.</p>
 <p>The package contains functions that allow you to set up an ecosystem model and then project it through time under different fishing strategies. Methods are included to explore the results, including plots and calculations of community indicators such as the slope of the size spectrum. Size-based models can be complicated, so mizer contains many default options that you can however change when needed.</p>
-<p><a href="https://sizespectrum.org/mizer/reference/figures/mizer_workflow.png" target="_blank"> <img src="reference/figures/mizer_workflow.png" style="height: 100%; width: 100%; object-fit: contain" title="mizer workflow"></a></p>
+<p><a href="https://sizespectrum.org/mizer/reference/figures/mizer_workflow.png" target="_blank"> <img src="reference/figures/mizer_workflow.png" style="height: 100%; width: 100%; object-fit: contain" title="mizer workflow" alt="mizer workflow"></a></p>
 <!-- Mizer can also be used to create web apps that allow users to explore models -->
 <!-- without the need to install R. An [example of such an -->
 <!-- app](https://mizer.shinyapps.io/selectivity/) investigates the effect of -->
@@ -137,10 +146,10 @@ <h2 id="example">Example<a class="anchor" aria-label="anchor" href="#example"></
 <span><span class="va">sim</span> <span class="op">&lt;-</span> <span class="fu"><a href="reference/project.html">project</a></span><span class="op">(</span><span class="va">params</span>, t_max <span class="op">=</span> <span class="fl">10</span>, effort <span class="op">=</span> <span class="fl">0</span><span class="op">)</span></span></code></pre></div>
 <p>The results of the simulation can then be analysed, for example via plots:</p>
 <div class="sourceCode" id="cb3"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">sim</span><span class="op">)</span></span></code></pre></div>
-<p><img src="reference/figures/unnamed-chunk-4-1.png"><!-- --></p>
+<code class="sourceCode R"><span><span class="fu"><a href="reference/plot.html">plot</a></span><span class="op">(</span><span class="va">sim</span><span class="op">)</span></span></code></pre></div>
+<p><img src="reference/figures/unnamed-chunk-4-1.png" alt="Plot showing simulation results"><!-- --></p>
 <p>See the accompanying <a href="https://sizespectrum.org/mizer/articles/mizer.html">Get started</a> page for more details on how the package works, including detailed examples.</p>
-<p><a href="https://sizespectrum.org/mizer/reference/figures/size_spectrum.png" target="_blank"> <img src="reference/figures/size.png" style="height: 95%; width: 95%; object-fit: contain" title="Size spectrum dynamics"></a></p>
+<p><a href="https://sizespectrum.org/mizer/reference/figures/size_spectrum.png" target="_blank"> <img src="reference/figures/size.png" style="height: 95%; width: 95%; object-fit: contain" title="Size spectrum dynamics" alt="Size spectrum dynamics"></a></p>
 </div>
 <div class="section level2">
 <h2 id="dynamic-multi-species-size-spectrum-model">Dynamic multi-species size-spectrum model<a class="anchor" aria-label="anchor" href="#dynamic-multi-species-size-spectrum-model"></a>
@@ -149,7 +158,7 @@ <h2 id="dynamic-multi-species-size-spectrum-model">Dynamic multi-species size-sp
 <p>One of the key advantages of size-based multi-species models is that they provide a more comprehensive understanding of the impacts of fishing on fish populations and ecosystems. By considering the size distribution of different fish species, these models can capture the effects of fishing on both target and non-target species, and on different life stages of a species. This is particularly important for species that are caught as bycatch or that are indirectly affected by fishing through changes in their food web.</p>
 <p>Another advantage of size-based multi-species models is that they can be used to investigate the effects of environmental changes and other perturbations on fish populations and ecosystems. For example, these models can be used to explore the impacts of climate change on the distribution and abundance of fish populations, or the effects of habitat loss or pollution on fish communities. Because mizer is a mechanistic model, it can deduce the complex population-level changes that we are interested in from the simpler changes in the physiological rates and feeding interactions of individual fish species.</p>
 <p>Overall, size-based multi-species models provide a more comprehensive and realistic framework for understanding the dynamics of fish populations and ecosystems, and for developing effective fisheries management strategies that account for the complex interactions among species and their environment.</p>
-<p><img src="reference/figures/size_selective_fishing.png" style="height: 95%; width: 95%; object-fit: contain" title="Effect of size-selective fishing"></p>
+<p><img src="reference/figures/size_selective_fishing.png" style="height: 95%; width: 95%; object-fit: contain" title="Effect of size-selective fishing" alt="Effect of size-selective fishing"></p>
 <p>A mizer model captures the interactions between species. The growth rates of fish are determined by the availability of prey and the death rates are influenced by the abundance of predators, as well as fishing. The model starts with the individual-level physiological rates for each species, as well as the predation preferences, and deduces the population-level dynamics from these. Thus quantities like fish diets and fisheries yields emerge dynamically and can be projected into the future.</p>
 <p>Because a mizer model tracks the size of individuals as they grow up over several orders of magnitude from their egg size to their maximum size, it correctly tracks the ontogenetic diet shifts. An individual typically moves through several trophic levels during its life time. This is often not correctly captured in other multi-species models.</p>
 <p>A mizer model can be set up with only a small amount of information because it uses allometric scaling relations and size-based feeding rules to choose sensible defaults for unknown parameters.</p>
@@ -161,7 +170,7 @@ <h2 id="a-strong-theoretical-basis">A strong theoretical basis<a class="anchor"
 <p>One big advantage of a mizer model is that it is based on a strong mathematical foundation. This allows a degree of a priori understanding of the behaviour of the model that is absent in many other multi-species models. This theoretical foundation is well presented in the book “Fish Ecology, Evolution, and Exploitation” by Ken Andersen.</p>
 <p>It is interesting to think of the marine ecosystem as a transport system that moves biomass from the size of primary producers (mostly unicellular plankton) up to the sizes of fish that humans like to consume. Each fish that grows up from egg size to maturity by eating smaller individuals is like a car on this biomass highway. The yield of our fisheries depend on this traffic flowing smoothly and without traffic jams.</p>
 <p>An analogy with road traffic may be helpful:</p>
-<p><a href="https://sizespectrum.org/mizer/reference/figures/traffic_jam.png" target="_blank"> <img src="reference/figures/traffic.png" style="height: 95%; width: 95%; object-fit: contain" title="Fish growth traffic jam"></a></p>
+<p><a href="https://sizespectrum.org/mizer/reference/figures/traffic_jam.png" target="_blank"> <img src="reference/figures/traffic.png" style="height: 95%; width: 95%; object-fit: contain" title="Fish growth traffic jam" alt="Fish growth traffic jam"></a></p>
 <p>In road traffic, if traffic density gets too high in a section of the highway, drivers slow down, which leads to a pile-up producing even higher traffic density, leading to further slow-down in a potentially vicious cycle known as a traffic jam. Traffic management that ignores how the traffic density affects traffic speed fails. Luckily our mathematical understanding of transport equations has made practical contributions to managing traffic in ways that produce smoother traffic flow and hence higher throughput.</p>
 <p>Mizer implements the transport equations for marine ecosystems. The potential for traffic jams is the same: if for example there is a high density of predators of a particular size, which all have preference for prey of a particular smaller size, then due to competition for that prey the growth of those predators slows down, leading to a pile-up which leads to further depletion of prey, leading to further slow-down, in a potentially vicious cycle.</p>
 <p>Luckily, the natural ecosystem has evolved to facilitate very smooth traffic on this biomass highway, with resultant high productivity. This state is characterised by an approximate power-law shape of the biomass size spectrum. The purpose of mizer is to allow us to understand how various stressors, like fishing or climate change, affect the size spectrum and hence the flow of biomass and the productivity and resilience of the marine ecosystem. Mizer allows us to investigate how size-based fisheries management strategies can be used to keep the ecosystem close to its natural productive state.</p>
diff --git a/docs/llms.txt b/docs/llms.txt
index 7f7f35697..5c788524d 100644
--- a/docs/llms.txt
+++ b/docs/llms.txt
@@ -1,6 +1,5 @@
- 
-
-![](reference/figures/mizer.png "mizer logo created by Kira Askaroff (www.kiraaskaroff.com)")
+![mizer
+logo](reference/figures/mizer.png "mizer logo created by Kira Askaroff (www.kiraaskaroff.com)")
 
 [![CRAN
 Status](https://www.r-pkg.org/badges/version-ago/mizer)](https://cran.r-project.org/package=mizer)
@@ -27,6 +26,9 @@ and calculations of community indicators such as the slope of the size
 spectrum. Size-based models can be complicated, so mizer contains many
 default options that you can however change when needed.
 
+[![mizer
+workflow](reference/figures/mizer_workflow.png "mizer workflow")](https://sizespectrum.org/mizer/reference/figures/mizer_workflow.png)
+
 Mizer has been supporting research in marine ecology and fisheries
 science since 2014 ([see
 publications](https://sizespectrum.org/mizer/articles/publications.html)).
@@ -81,12 +83,16 @@ plots:
 plot(sim)
 ```
 
-![](reference/figures/unnamed-chunk-4-1.png)
+![Plot showing simulation
+results](reference/figures/unnamed-chunk-4-1.png)
 
 See the accompanying [Get
 started](https://sizespectrum.org/mizer/articles/mizer.html) page for
 more details on how the package works, including detailed examples.
 
+[![Size spectrum
+dynamics](reference/figures/size.png "Size spectrum dynamics")](https://sizespectrum.org/mizer/reference/figures/size_spectrum.png)
+
 ## Dynamic multi-species size-spectrum model
 
 Size-based multi-species models are important for fisheries science
@@ -123,6 +129,9 @@ populations and ecosystems, and for developing effective fisheries
 management strategies that account for the complex interactions among
 species and their environment.
 
+![Effect of size-selective
+fishing](reference/figures/size_selective_fishing.png "Effect of size-selective fishing")
+
 A mizer model captures the interactions between species. The growth
 rates of fish are determined by the availability of prey and the death
 rates are influenced by the abundance of predators, as well as fishing.
@@ -168,6 +177,9 @@ traffic jams.
 
 An analogy with road traffic may be helpful:
 
+[![Fish growth traffic
+jam](reference/figures/traffic.png "Fish growth traffic jam")](https://sizespectrum.org/mizer/reference/figures/traffic_jam.png)
+
 In road traffic, if traffic density gets too high in a section of the
 highway, drivers slow down, which leads to a pile-up producing even
 higher traffic density, leading to further slow-down in a potentially
@@ -245,7 +257,12 @@ parameters.
   [`validEffortVector()`](https://sizespectrum.org/mizer/reference/initial_effort.md)
   : Initial fishing effort
 - [`renameGear()`](https://sizespectrum.org/mizer/reference/renameGear.md)
-  **\[experimental\]** : Rename gears
+  : Rename gears
+- [`expandSizeGrid()`](https://sizespectrum.org/mizer/reference/expandSizeGrid.md)
+  : Expand the size grid
+- [`use_predation_diffusion()`](https://sizespectrum.org/mizer/reference/use_predation_diffusion.md)
+  [`` `use_predation_diffusion<-`() ``](https://sizespectrum.org/mizer/reference/use_predation_diffusion.md)
+  : Get or set the use_predation_diffusion flag
 
 ## Steady state tuning
 
@@ -256,8 +273,8 @@ observed growth rates, abundances and fisheries yields.
 - [`steady()`](https://sizespectrum.org/mizer/reference/steady.md) : Set
   initial values to a steady state for the model
 - [`steadySingleSpecies()`](https://sizespectrum.org/mizer/reference/steadySingleSpecies.md)
-  **\[experimental\]** : Set initial abundances to single-species steady
-  state abundances
+  **\[experimental\]** : Set initial abundances to solution of
+  steady-state equation with current rates
 - [`matchGrowth()`](https://sizespectrum.org/mizer/reference/matchGrowth.md)
   : Adjust model to produce observed growth
 - [`plotBiomassObservedVsModel()`](https://sizespectrum.org/mizer/reference/plotBiomassObservedVsModel.md)
@@ -278,6 +295,8 @@ observed growth rates, abundances and fisheries yields.
   **\[experimental\]** : Plotting observed vs. model yields
 - [`scaleModel()`](https://sizespectrum.org/mizer/reference/scaleModel.md)
   **\[experimental\]** : Change scale of the model
+- [`scaleRates()`](https://sizespectrum.org/mizer/reference/scaleRates.md)
+  : Rescale all rates in a mizer model
 
 ## Dynamics tuning
 
@@ -287,8 +306,7 @@ functions allow you to change the model without destroying the steady
 state.
 
 - [`setBevertonHolt()`](https://sizespectrum.org/mizer/reference/setBevertonHolt.md)
-  **\[experimental\]** : Set Beverton-Holt reproduction without changing
-  the steady state
+  : Set Beverton-Holt reproduction without changing the steady state
 - [`setResource()`](https://sizespectrum.org/mizer/reference/setResource.md)
   [`resource_rate()`](https://sizespectrum.org/mizer/reference/setResource.md)
   [`` `resource_rate<-`() ``](https://sizespectrum.org/mizer/reference/setResource.md)
@@ -307,8 +325,9 @@ state.
   **\[experimental\]** : Set metadata for a model
 - [`saveParams()`](https://sizespectrum.org/mizer/reference/saveParams.md)
   [`readParams()`](https://sizespectrum.org/mizer/reference/saveParams.md)
-  **\[experimental\]** : Save a MizerParams object to file, and restore
-  it
+  [`saveSim()`](https://sizespectrum.org/mizer/reference/saveParams.md)
+  [`readSim()`](https://sizespectrum.org/mizer/reference/saveParams.md)
+  **\[experimental\]** : Save and restore mizer objects
 
 ## Running simulations
 
@@ -337,35 +356,39 @@ state.
 
 - [`summary_functions`](https://sizespectrum.org/mizer/reference/summary_functions.md)
   : Description of summary functions
-- [`getDiet()`](https://sizespectrum.org/mizer/reference/getDiet.md) :
-  Get diet of predator at size, resolved by prey species
 - [`getBiomass()`](https://sizespectrum.org/mizer/reference/getBiomass.md)
   : Calculate the total biomass of each species within a size range at
   each time step.
+- [`getDiet()`](https://sizespectrum.org/mizer/reference/getDiet.md) :
+  Get diet of predator at size, resolved by prey species
+- [`getGrowthCurves()`](https://sizespectrum.org/mizer/reference/getGrowthCurves.md)
+  : Get growth curves giving weight as a function of age
 - [`getN()`](https://sizespectrum.org/mizer/reference/getN.md) :
   Calculate the number of individuals within a size range
 - [`getSSB()`](https://sizespectrum.org/mizer/reference/getSSB.md) :
   Calculate the SSB of species
+- [`getTrophicLevel()`](https://sizespectrum.org/mizer/reference/getTrophicLevel.md)
+  **\[experimental\]** : Get trophic level of individuals at size
+- [`getTrophicLevelBySpecies()`](https://sizespectrum.org/mizer/reference/getTrophicLevelBySpecies.md)
+  **\[experimental\]** : Get mean trophic level of each species
 - [`getYield()`](https://sizespectrum.org/mizer/reference/getYield.md) :
   Calculate the rate at which biomass of each species is fished
 - [`getYieldGear()`](https://sizespectrum.org/mizer/reference/getYieldGear.md)
   : Calculate the rate at which biomass of each species is fished by
   each gear
-- [`getGrowthCurves()`](https://sizespectrum.org/mizer/reference/getGrowthCurves.md)
-  : Get growth curves giving weight as a function of age
 
 ## Calculating indicators
 
 - [`indicator_functions`](https://sizespectrum.org/mizer/reference/indicator_functions.md)
   : Description of indicator functions
-- [`getProportionOfLargeFish()`](https://sizespectrum.org/mizer/reference/getProportionOfLargeFish.md)
-  : Calculate the proportion of large fish
 - [`getCommunitySlope()`](https://sizespectrum.org/mizer/reference/getCommunitySlope.md)
   : Calculate the slope of the community abundance
-- [`getMeanWeight()`](https://sizespectrum.org/mizer/reference/getMeanWeight.md)
-  : Calculate the mean weight of the community
 - [`getMeanMaxWeight()`](https://sizespectrum.org/mizer/reference/getMeanMaxWeight.md)
   : Calculate the mean maximum weight of the community
+- [`getMeanWeight()`](https://sizespectrum.org/mizer/reference/getMeanWeight.md)
+  : Calculate the mean weight of the community
+- [`getProportionOfLargeFish()`](https://sizespectrum.org/mizer/reference/getProportionOfLargeFish.md)
+  : Calculate the proportion of large fish
 
 ## Plotting results
 
@@ -375,19 +398,16 @@ state.
 - [`animateSpectra()`](https://sizespectrum.org/mizer/reference/animateSpectra.md)
   **\[experimental\]** : Animation of the abundance spectra
 
-- [`plot(`*`<MizerParams>`*`,`*`<missing>`*`)`](https://sizespectrum.org/mizer/reference/plot-MizerParams-missing-method.md)
-  :
-
-  Summary plot for `MizerParams` objects
+- [`plot(`*`<ArraySpeciesBySize>`*`)`](https://sizespectrum.org/mizer/reference/plot.md)
+  [`ggplotly(`*`<ArraySpeciesBySize>`*`)`](https://sizespectrum.org/mizer/reference/plot.md)
+  [`plot(`*`<ArraySpeciesByTime>`*`)`](https://sizespectrum.org/mizer/reference/plot.md)
+  [`ggplotly(`*`<ArraySpeciesByTime>`*`)`](https://sizespectrum.org/mizer/reference/plot.md)
+  : Plotting outputs
 
 - [`plotBiomass()`](https://sizespectrum.org/mizer/reference/plotBiomass.md)
   [`plotlyBiomass()`](https://sizespectrum.org/mizer/reference/plotBiomass.md)
   : Plot the biomass of species through time
 
-- [`plotBiomassObservedVsModel()`](https://sizespectrum.org/mizer/reference/plotBiomassObservedVsModel.md)
-  [`plotlyBiomassObservedVsModel()`](https://sizespectrum.org/mizer/reference/plotBiomassObservedVsModel.md)
-  **\[experimental\]** : Plotting observed vs. model biomass data
-
 - [`plotDiet()`](https://sizespectrum.org/mizer/reference/plotDiet.md)
   **\[experimental\]** : Plot diet, resolved by prey species, as
   function of predator at size.
@@ -404,7 +424,12 @@ state.
   [`plotlyGrowthCurves()`](https://sizespectrum.org/mizer/reference/plotGrowthCurves.md)
   : Plot growth curves
 
-- [`plot(`*`<MizerSim>`*`,`*`<missing>`*`)`](https://sizespectrum.org/mizer/reference/plotMizerSim.md)
+- [`plot(`*`<MizerParams>`*`)`](https://sizespectrum.org/mizer/reference/plotMizerParams.md)
+  :
+
+  Summary plot for `MizerParams` objects
+
+- [`plot(`*`<MizerSim>`*`)`](https://sizespectrum.org/mizer/reference/plotMizerSim.md)
   :
 
   Summary plot for `MizerSim` objects
@@ -425,6 +450,10 @@ state.
   [`plotlyYieldGear()`](https://sizespectrum.org/mizer/reference/plotYieldGear.md)
   : Plot the total yield of each species by gear through time
 
+- [`plotBiomassObservedVsModel()`](https://sizespectrum.org/mizer/reference/plotBiomassObservedVsModel.md)
+  [`plotlyBiomassObservedVsModel()`](https://sizespectrum.org/mizer/reference/plotBiomassObservedVsModel.md)
+  **\[experimental\]** : Plotting observed vs. model biomass data
+
 - [`plotYieldObservedVsModel()`](https://sizespectrum.org/mizer/reference/plotYieldObservedVsModel.md)
   [`plotlyYieldObservedVsModel()`](https://sizespectrum.org/mizer/reference/plotYieldObservedVsModel.md)
   **\[experimental\]** : Plotting observed vs. model yields
@@ -439,11 +468,15 @@ state.
 ## Manipulating species list
 
 - [`addSpecies()`](https://sizespectrum.org/mizer/reference/addSpecies.md)
-  **\[experimental\]** : Add new species
+  : Add new species
 - [`removeSpecies()`](https://sizespectrum.org/mizer/reference/removeSpecies.md)
-  **\[experimental\]** : Remove species
+  : Remove species
 - [`renameSpecies()`](https://sizespectrum.org/mizer/reference/renameSpecies.md)
   **\[experimental\]** : Rename species
+- [`markBackground()`](https://sizespectrum.org/mizer/reference/markBackground.md)
+  : Designate species as background species
+- [`removeBackgroundSpecies()`](https://sizespectrum.org/mizer/reference/removeBackgroundSpecies.md)
+  : Remove all background species
 
 ## Setting custom rates
 
@@ -476,6 +509,10 @@ and gear parameters with your own rate arrays.
   [`metab()`](https://sizespectrum.org/mizer/reference/setMetabolicRate.md)
   [`` `metab<-`() ``](https://sizespectrum.org/mizer/reference/setMetabolicRate.md)
   : Set metabolic rate
+- [`setExtDiffusion()`](https://sizespectrum.org/mizer/reference/setExtDiffusion.md)
+  [`ext_diffusion()`](https://sizespectrum.org/mizer/reference/setExtDiffusion.md)
+  [`` `ext_diffusion<-`() ``](https://sizespectrum.org/mizer/reference/setExtDiffusion.md)
+  : Set external diffusion rate
 - [`setExtMort()`](https://sizespectrum.org/mizer/reference/setExtMort.md)
   [`getExtMort()`](https://sizespectrum.org/mizer/reference/setExtMort.md)
   [`ext_mort()`](https://sizespectrum.org/mizer/reference/setExtMort.md)
@@ -506,16 +543,16 @@ and gear parameters with your own rate arrays.
 
 ## Calculating rates
 
-- [`getRates()`](https://sizespectrum.org/mizer/reference/getRates.md) :
-  Get all rates
-- [`getEncounter()`](https://sizespectrum.org/mizer/reference/getEncounter.md)
-  : Get encounter rate
+- [`getDiffusion()`](https://sizespectrum.org/mizer/reference/getDiffusion.md)
+  : Get diffusion rate from predation
 - [`getEGrowth()`](https://sizespectrum.org/mizer/reference/getEGrowth.md)
   : Get energy rate available for growth
 - [`getERepro()`](https://sizespectrum.org/mizer/reference/getERepro.md)
   : Get energy rate available for reproduction
 - [`getEReproAndGrowth()`](https://sizespectrum.org/mizer/reference/getEReproAndGrowth.md)
   : Get energy rate available for reproduction and growth
+- [`getEncounter()`](https://sizespectrum.org/mizer/reference/getEncounter.md)
+  : Get encounter rate
 - [`getFMort()`](https://sizespectrum.org/mizer/reference/getFMort.md) :
   Get the total fishing mortality rate from all fishing gears by time,
   species and size.
@@ -523,12 +560,10 @@ and gear parameters with your own rate arrays.
   : Get the fishing mortality by time, gear, species and size
 - [`getFeedingLevel()`](https://sizespectrum.org/mizer/reference/getFeedingLevel.md)
   : Get feeding level
-- [`getCriticalFeedingLevel()`](https://sizespectrum.org/mizer/reference/getCriticalFeedingLevel.md)
-  : Get critical feeding level
+- [`getFlux()`](https://sizespectrum.org/mizer/reference/getFlux.md) :
+  Get flux into size bins
 - [`getMort()`](https://sizespectrum.org/mizer/reference/getMort.md) :
   Get total mortality rate
-- [`getResourceMort()`](https://sizespectrum.org/mizer/reference/getResourceMort.md)
-  : Get predation mortality rate for resource
 - [`getPredMort()`](https://sizespectrum.org/mizer/reference/getPredMort.md)
   : Get total predation mortality rate
 - [`getPredRate()`](https://sizespectrum.org/mizer/reference/getPredRate.md)
@@ -537,6 +572,12 @@ and gear parameters with your own rate arrays.
   density dependent reproduction rate
 - [`getRDI()`](https://sizespectrum.org/mizer/reference/getRDI.md) : Get
   density independent rate of egg production
+- [`getRates()`](https://sizespectrum.org/mizer/reference/getRates.md) :
+  Get all rates
+- [`getResourceMort()`](https://sizespectrum.org/mizer/reference/getResourceMort.md)
+  : Get predation mortality rate for resource
+- [`getCriticalFeedingLevel()`](https://sizespectrum.org/mizer/reference/getCriticalFeedingLevel.md)
+  : Get critical feeding level
 
 ## Extending Mizer
 
@@ -547,16 +588,24 @@ and gear parameters with your own rate arrays.
   : Set own rate function to replace mizer rate function
 - [`setComponent()`](https://sizespectrum.org/mizer/reference/setComponent.md)
   [`removeComponent()`](https://sizespectrum.org/mizer/reference/setComponent.md)
+  [`getComponent()`](https://sizespectrum.org/mizer/reference/setComponent.md)
   : Add a dynamical ecosystem component
-- [`getComponent()`](https://sizespectrum.org/mizer/reference/getComponent.md)
-  : Get information about other ecosystem components
 - [`` `initialNOther<-`() ``](https://sizespectrum.org/mizer/reference/initialNOther-set.md)
   [`initialNOther()`](https://sizespectrum.org/mizer/reference/initialNOther-set.md)
   : Initial values for other ecosystem components
-- [`NOther()`](https://sizespectrum.org/mizer/reference/NOther.md) :
-  Time series of other components
-- [`finalNOther()`](https://sizespectrum.org/mizer/reference/finalNOther.md)
-  : Values of other ecosystem components at end of simulation
+- [`NOther()`](https://sizespectrum.org/mizer/reference/NOther.md)
+  [`finalNOther()`](https://sizespectrum.org/mizer/reference/NOther.md)
+  : Time series of other components
+- [`clearExtensionChain()`](https://sizespectrum.org/mizer/reference/clearExtensionChain.md)
+  : Clear the registered extension chain
+- [`coerceToExtensionClass()`](https://sizespectrum.org/mizer/reference/coerceToExtensionClass.md)
+  : Coerce a mizer object to its registered extension class
+- [`getRegisteredExtensions()`](https://sizespectrum.org/mizer/reference/getRegisteredExtensions.md)
+  : Get the registered mizer extension chain
+- [`registerExtension()`](https://sizespectrum.org/mizer/reference/registerExtension.md)
+  : Register a single mizer extension for this R session
+- [`registerExtensions()`](https://sizespectrum.org/mizer/reference/registerExtensions.md)
+  : Register mizer extensions for this R session
 - [`customFunction()`](https://sizespectrum.org/mizer/reference/customFunction.md)
   **\[experimental\]** : Replace a mizer function with a custom version
 
@@ -614,8 +663,12 @@ and gear parameters with your own rate arrays.
   **\[experimental\]** : Give constant reproduction rate
 - [`noRDD()`](https://sizespectrum.org/mizer/reference/noRDD.md) : Give
   density-independent reproduction rate
+- [`projectRDD()`](https://sizespectrum.org/mizer/reference/projectRDD.md)
+  : Get density-dependent reproduction rate during projection
 - [`getReproductionLevel()`](https://sizespectrum.org/mizer/reference/getReproductionLevel.md)
-  **\[experimental\]** : Get reproduction level
+  : Get reproduction level
+- [`getRequiredRDD()`](https://sizespectrum.org/mizer/reference/getRequiredRDD.md)
+  : Determine reproduction rate needed for initial egg abundance
 
 ## Internal rate functions
 
@@ -624,35 +677,50 @@ at each time step. You should use the get…() functions instead of the
 mizer…() functions.
 
 - [`mizerRates()`](https://sizespectrum.org/mizer/reference/mizerRates.md)
+  [`projectRates()`](https://sizespectrum.org/mizer/reference/mizerRates.md)
   : Get all rates needed to project standard mizer model
-- [`mizerEGrowth()`](https://sizespectrum.org/mizer/reference/mizerEGrowth.md)
+- [`projectDiffusion()`](https://sizespectrum.org/mizer/reference/mizerDiffusion.md)
+  [`mizerDiffusion()`](https://sizespectrum.org/mizer/reference/mizerDiffusion.md)
+  : Calculate diffusion rate
+- [`projectEGrowth()`](https://sizespectrum.org/mizer/reference/mizerEGrowth.md)
+  [`mizerEGrowth()`](https://sizespectrum.org/mizer/reference/mizerEGrowth.md)
   : Get energy rate available for growth needed to project standard
   mizer model
-- [`mizerERepro()`](https://sizespectrum.org/mizer/reference/mizerERepro.md)
+- [`projectERepro()`](https://sizespectrum.org/mizer/reference/mizerERepro.md)
+  [`mizerERepro()`](https://sizespectrum.org/mizer/reference/mizerERepro.md)
   : Get energy rate available for reproduction needed to project
   standard mizer model
-- [`mizerEReproAndGrowth()`](https://sizespectrum.org/mizer/reference/mizerEReproAndGrowth.md)
+- [`projectEReproAndGrowth()`](https://sizespectrum.org/mizer/reference/mizerEReproAndGrowth.md)
+  [`mizerEReproAndGrowth()`](https://sizespectrum.org/mizer/reference/mizerEReproAndGrowth.md)
   : Get energy rate available for reproduction and growth needed to
   project standard mizer model
-- [`mizerEncounter()`](https://sizespectrum.org/mizer/reference/mizerEncounter.md)
-  : Get encounter rate needed to project standard mizer model
-- [`mizerFMort()`](https://sizespectrum.org/mizer/reference/mizerFMort.md)
+- [`projectEncounter()`](https://sizespectrum.org/mizer/reference/mizerEncounter.md)
+  [`mizerEncounter()`](https://sizespectrum.org/mizer/reference/mizerEncounter.md)
+  : Get encounter rate during projection
+- [`projectFMort()`](https://sizespectrum.org/mizer/reference/mizerFMort.md)
+  [`mizerFMort()`](https://sizespectrum.org/mizer/reference/mizerFMort.md)
   : Get the total fishing mortality rate from all fishing gears
 - [`mizerFMortGear()`](https://sizespectrum.org/mizer/reference/mizerFMortGear.md)
   : Get the fishing mortality needed to project standard mizer model
-- [`mizerFeedingLevel()`](https://sizespectrum.org/mizer/reference/mizerFeedingLevel.md)
+- [`projectFeedingLevel()`](https://sizespectrum.org/mizer/reference/mizerFeedingLevel.md)
+  [`mizerFeedingLevel()`](https://sizespectrum.org/mizer/reference/mizerFeedingLevel.md)
   : Get feeding level needed to project standard mizer model
-- [`mizerMort()`](https://sizespectrum.org/mizer/reference/mizerMort.md)
+- [`projectMort()`](https://sizespectrum.org/mizer/reference/mizerMort.md)
+  [`mizerMort()`](https://sizespectrum.org/mizer/reference/mizerMort.md)
   : Get total mortality rate needed to project standard mizer model
-- [`mizerPredMort()`](https://sizespectrum.org/mizer/reference/mizerPredMort.md)
+- [`projectPredMort()`](https://sizespectrum.org/mizer/reference/mizerPredMort.md)
+  [`mizerPredMort()`](https://sizespectrum.org/mizer/reference/mizerPredMort.md)
   : Get total predation mortality rate needed to project standard mizer
   model
-- [`mizerPredRate()`](https://sizespectrum.org/mizer/reference/mizerPredRate.md)
+- [`projectPredRate()`](https://sizespectrum.org/mizer/reference/mizerPredRate.md)
+  [`mizerPredRate()`](https://sizespectrum.org/mizer/reference/mizerPredRate.md)
   : Get predation rate needed to project standard mizer model
-- [`mizerRDI()`](https://sizespectrum.org/mizer/reference/mizerRDI.md) :
+- [`projectRDI()`](https://sizespectrum.org/mizer/reference/mizerRDI.md)
+  [`mizerRDI()`](https://sizespectrum.org/mizer/reference/mizerRDI.md) :
   Get density-independent rate of reproduction needed to project
   standard mizer model
-- [`mizerResourceMort()`](https://sizespectrum.org/mizer/reference/mizerResourceMort.md)
+- [`projectResourceMort()`](https://sizespectrum.org/mizer/reference/mizerResourceMort.md)
+  [`mizerResourceMort()`](https://sizespectrum.org/mizer/reference/mizerResourceMort.md)
   : Get predation mortality rate for resource needed to project standard
   mizer model
 
@@ -704,14 +772,14 @@ mizer…() functions.
 - [`get_phi()`](https://sizespectrum.org/mizer/reference/get_phi.md) :
   Get values from feeding kernel function
 
-- [`get_required_reproduction()`](https://sizespectrum.org/mizer/reference/get_required_reproduction.md)
-  : Determine reproduction rate needed for initial egg abundance
-
 - [`get_size_range_array()`](https://sizespectrum.org/mizer/reference/get_size_range_array.md)
   : Get size range array
 
+- [`get_steady_state_n()`](https://sizespectrum.org/mizer/reference/get_steady_state_n.md)
+  : Calculate steady state abundance
+
 - [`get_time_elements()`](https://sizespectrum.org/mizer/reference/get_time_elements.md)
-  : Get_time_elements
+  : Get array indices for a time range in a MizerSim object
 
 - [`l2w()`](https://sizespectrum.org/mizer/reference/l2w.md)
   [`w2l()`](https://sizespectrum.org/mizer/reference/l2w.md) :
@@ -721,6 +789,10 @@ mizer…() functions.
   : Determine whether a MizerParams or MizerSim object needs to be
   upgraded
 
+- [`project_n()`](https://sizespectrum.org/mizer/reference/project_n.md)
+  [`project_n_no_diffusion()`](https://sizespectrum.org/mizer/reference/project_n.md)
+  : Project values for first time step of Euler method
+
 - [`project_simple()`](https://sizespectrum.org/mizer/reference/project_simple.md)
   : Project abundances by a given number of time steps into the future
 
@@ -745,12 +817,11 @@ mizer…() functions.
 - [`MizerParams-class`](https://sizespectrum.org/mizer/reference/MizerParams-class.md)
   : A class to hold the parameters for a size based model.
 
-- [`summary(`*`<MizerParams>`*`)`](https://sizespectrum.org/mizer/reference/summary-MizerParams-method.md)
+- [`summary(`*`<MizerParams>`*`)`](https://sizespectrum.org/mizer/reference/summary.MizerParams.md)
   : Summarize MizerParams object
 
 - [`compareParams()`](https://sizespectrum.org/mizer/reference/compareParams.md)
-  **\[experimental\]** : Compare two MizerParams objects and print out
-  differences
+  : Compare two MizerParams objects and print out differences
 
 - [`w()`](https://sizespectrum.org/mizer/reference/w.md)
   [`w_full()`](https://sizespectrum.org/mizer/reference/w.md)
@@ -764,7 +835,7 @@ mizer…() functions.
 - [`MizerSim-class`](https://sizespectrum.org/mizer/reference/MizerSim-class.md)
   : A class to hold the results of a simulation
 
-- [`summary(`*`<MizerSim>`*`)`](https://sizespectrum.org/mizer/reference/summary-MizerSim-method.md)
+- [`summary(`*`<MizerSim>`*`)`](https://sizespectrum.org/mizer/reference/summary.MizerSim.md)
   : Summarize MizerSim object
 
 - [`validSim()`](https://sizespectrum.org/mizer/reference/validSim.md) :
@@ -777,6 +848,18 @@ mizer…() functions.
 - [`getParams()`](https://sizespectrum.org/mizer/reference/getParams.md)
   : Extract the parameter object underlying a simulation
 
+- [`ArraySpeciesBySize()`](https://sizespectrum.org/mizer/reference/ArraySpeciesBySize.md)
+  : S3 class for species x size rate arrays
+
+- [`is.ArraySpeciesBySize()`](https://sizespectrum.org/mizer/reference/is.ArraySpeciesBySize.md)
+  : Test if an object is a ArraySpeciesBySize
+
+- [`ArraySpeciesByTime()`](https://sizespectrum.org/mizer/reference/ArraySpeciesByTime.md)
+  : S3 class for time x species arrays
+
+- [`is.ArraySpeciesByTime()`](https://sizespectrum.org/mizer/reference/is.ArraySpeciesByTime.md)
+  : Test if an object is a ArraySpeciesByTime
+
 ## Example parameter sets
 
 More example parameter sets are available via
@@ -908,18 +991,39 @@ versions of mizer
 - [Exploring the Simulation
   Results](https://sizespectrum.org/mizer/articles/exploring_the_simulation_results.md):
 
+- [Cheatsheet: Analysis and
+  Plotting](https://sizespectrum.org/mizer/articles/cheatsheet.md):
+
 - [A Multi-Species Model of the North
   Sea](https://sizespectrum.org/mizer/articles/a_multispecies_model_of_the_north_sea.md):
 
 - [Using ggplot2 and plotly with
   mizer](https://sizespectrum.org/mizer/articles/plotting.md):
 
+- [Incorporating predation
+  diffusion](https://sizespectrum.org/mizer/articles/predation_diffusion.md):
+
+- [Cohort dynamics and
+  diffusion](https://sizespectrum.org/mizer/articles/cohort_dynamics_and_diffusion.md):
+
+- [Extending
+  mizer](https://sizespectrum.org/mizer/articles/extensions.md):
+
+- [Creating a mizer extension
+  package](https://sizespectrum.org/mizer/articles/extension-packages.md):
+
 ### Publications
 
 - [Publications](https://sizespectrum.org/mizer/articles/publications.md):
 
 ### Developer Guide
 
+- [The Numerical Scheme used in
+  Mizer](https://sizespectrum.org/mizer/articles/numerical_details.md):
+- [Mathematical Details of the Mizer
+  Implementation](https://sizespectrum.org/mizer/articles/mathematical_details.md):
+- [Analytic
+  Test](https://sizespectrum.org/mizer/articles/analytic_test.md):
 - [Developer
   Guide](https://sizespectrum.org/mizer/articles/developer_vignette.md):
 - [Working with git and
diff --git a/docs/news/index.html b/docs/news/index.html
index c68d9c307..155719888 100644
--- a/docs/news/index.html
+++ b/docs/news/index.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Changelog"><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Changelog"><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
 
 
@@ -13,7 +13,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -34,13 +34,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -50,7 +58,8 @@
   </ul></li>
 <li class="nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="active nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -73,7 +82,63 @@
     </div>
 
     <div class="section level2">
-<h2 class="pkg-version" data-toc-text="2.5.4" id="mizer-254">mizer 2.5.4<a class="anchor" aria-label="anchor" href="#mizer-254"></a></h2>
+<h2 class="pkg-version" data-toc-text="2.5.4.9102" id="development-version-2549102">Development version 2.5.4.9102<a class="anchor" aria-label="anchor" href="#development-version-2549102"></a></h2>
+<ul><li><p><code><a href="../reference/setResource.html">setResource()</a></code> now allows <code>resource_level = 1</code>. When balancing would otherwise divide by zero because the resource capacity equals the current resource abundance at positive consumption, the capacity is increased slightly with a warning instead of failing early.</p></li>
+<li><p>Bug fix: <code><a href="../reference/getFMort.html">getFMort()</a></code> on a <code>MizerSim</code> object was silently dropping the component names from <code>n_other</code> when passing it to the rate function and its dependencies (<code><a href="../reference/getEGrowth.html">getEGrowth()</a></code>, <code><a href="../reference/getPredMort.html">getPredMort()</a></code>). This caused failures whenever the rate functions accessed <code>n_other</code> by component name (e.g. <code>n_other[["resource"]]</code>). The internal implementation has also been refactored to use the same <code><a href="https://rdrr.io/pkg/plyr/man/aaply.html" class="external-link">plyr::aaply</a></code> pattern as <code><a href="../reference/getFeedingLevel.html">getFeedingLevel()</a></code> and <code><a href="../reference/getPredMort.html">getPredMort()</a></code>, keeping the three methods consistent.</p></li>
+<li><p>Added first-stage infrastructure for composable extension chains: <code><a href="../reference/registerExtensions.html">registerExtensions()</a></code>, <code><a href="../reference/getRegisteredExtensions.html">getRegisteredExtensions()</a></code>, and <code><a href="../reference/coerceToExtensionClass.html">coerceToExtensionClass()</a></code>. Extension classes are marker classes for S3 dispatch, with <code>MizerSim</code> deriving its extension chain from <code>sim@params@extensions</code>.</p></li>
+<li><p><code><a href="../reference/saveParams.html">saveParams()</a></code> now serialises extension objects as plain <code>MizerParams</code> objects while preserving their extension chain, and <code><a href="../reference/saveParams.html">readParams()</a></code> restores the appropriate extension class. New <code><a href="../reference/saveParams.html">saveSim()</a></code> and <code><a href="../reference/saveParams.html">readSim()</a></code> helpers provide the same lifecycle for <code>MizerSim</code> objects.</p></li>
+<li><p>Added <code><a href="../reference/mizerRates.html">projectRates()</a></code> and <code><a href="../reference/mizerEncounter.html">projectEncounter()</a></code> as the first S3 hooks in the extension-chain rate pipeline. Extension-aware projections dispatch through <code><a href="../reference/mizerRates.html">projectRates()</a></code>, while models without extensions keep using the pre-resolved <code><a href="../reference/mizerRates.html">mizerRates()</a></code> pipeline directly.</p></li>
+<li><p>Added S3 projection hooks for the remaining standard mizer rate functions. Extension-aware projections now call <code><a href="../reference/mizerFeedingLevel.html">projectFeedingLevel()</a></code>, <code><a href="../reference/mizerEReproAndGrowth.html">projectEReproAndGrowth()</a></code>, <code><a href="../reference/mizerERepro.html">projectERepro()</a></code>, <code><a href="../reference/mizerEGrowth.html">projectEGrowth()</a></code>, <code><a href="../reference/mizerDiffusion.html">projectDiffusion()</a></code>, <code><a href="../reference/mizerPredRate.html">projectPredRate()</a></code>, <code><a href="../reference/mizerPredMort.html">projectPredMort()</a></code>, <code><a href="../reference/mizerFMort.html">projectFMort()</a></code>, <code><a href="../reference/mizerMort.html">projectMort()</a></code>, <code><a href="../reference/mizerRDI.html">projectRDI()</a></code> and <code><a href="../reference/projectRDD.html">projectRDD()</a></code> and <code><a href="../reference/mizerResourceMort.html">projectResourceMort()</a></code> directly.</p></li>
+<li><p>Extensions that do not provide a marker class now remain metadata-only and do not trigger the S3 projection-rate dispatch path.</p></li>
+<li><p>New <code>scaleRates(params, factor)</code> function that rescales all rates in a model by a given factor. This is equivalent to a time rescaling: it speeds up or slows down all dynamics without affecting the steady state. All rate slots (<code>search_vol</code>, <code>intake_max</code>, <code>metab</code>, <code>mu_b</code>, <code>ext_encounter</code>, <code>ext_diffusion</code>, <code>catchability</code>, <code>rr_pp</code>) and their associated species parameters (<code>gamma</code>, <code>h</code>, <code>ks</code>, <code>k</code>, <code>z0</code>, <code>z_ext</code>, <code>z0pre</code>, <code>E_ext</code>, <code>D_ext</code>, <code>R_max</code>) are rescaled consistently.</p></li>
+<li><p><code>MizerParams</code> gains a <code>use_predation_diffusion</code> slot (logical, default <code>FALSE</code>). When <code>FALSE</code> (the default), [mizerDiffusion()] omits the predation-induced diffusion term, preserving the behaviour of previous mizer versions. Set to <code>TRUE</code> to enable the jump-growth diffusion term.</p></li>
+<li><p><code>diffusion()</code> / <code>diffusion&lt;-()</code> / <code>setDiffusion()</code> have been renamed to <code><a href="../reference/setExtDiffusion.html">ext_diffusion()</a></code> / <code>ext_diffusion&lt;-()</code> / <code><a href="../reference/setExtDiffusion.html">setExtDiffusion()</a></code> to follow the same naming convention as <code><a href="../reference/setExtMort.html">setExtMort()</a></code> and <code><a href="../reference/setExtEncounter.html">setExtEncounter()</a></code>.</p></li>
+<li><p>The <code>MizerSim</code> accessors defined in <code>R/MizerSim-class.R</code> (<code><a href="../reference/validSim.html">validSim()</a></code>, <code><a href="../reference/N.html">N()</a></code>, <code><a href="../reference/N.html">NResource()</a></code>, <code><a href="../reference/finalN.html">finalN()</a></code>, <code><a href="../reference/finalN.html">finalNResource()</a></code>, <code><a href="../reference/finalN.html">idxFinalT()</a></code>, <code><a href="../reference/getTimes.html">getTimes()</a></code>, <code><a href="../reference/getEffort.html">getEffort()</a></code>, and <code><a href="../reference/getParams.html">getParams()</a></code>) are now registered as S3 generics with <code>MizerSim</code> methods, aligning them with the rest of the package dispatch model and making extension-specific methods possible.</p></li>
+<li><p><code><a href="../reference/setComponent.html">setComponent()</a></code> now accepts optional <code>colour</code> and <code>linetype</code> arguments and applies them via <code><a href="../reference/setColours.html">setColours()</a></code> and <code><a href="../reference/setColours.html">setLinetypes()</a></code> so added components can be styled directly in plots.</p></li>
+<li><p>New “Extending mizer” vignette (<code><a href="../articles/extensions.html">vignette("extensions")</a></code>) documents when to use <code><a href="../reference/setRateFunction.html">setRateFunction()</a></code>, <code><a href="../reference/setComponent.html">setComponent()</a></code>, and <code><a href="../reference/customFunction.html">customFunction()</a></code>, summarises the required signatures and return shapes for custom rate functions, and gives worked examples for both a custom encounter function and an added ecosystem component.</p></li>
+<li><p>New “Cheatsheet: Analysis and Plotting” vignette (<code><a href="../articles/cheatsheet.html">vignette("cheatsheet")</a></code>) provides a quick reference for all functions that access simulation arrays, compute summaries, calculate indicators, and create plots. Closes <a href="https://github.com/sizespectrum/mizer/issues/176" class="external-link">#176</a>.</p></li>
+<li><p><code><a href="../reference/compareParams.html">compareParams()</a></code> output is now printed in a human-readable format, with each difference as its own block separated by blank lines. When array slots differ, the max absolute difference is shown per species. When slots differ only in their <code>comment</code> attributes, both comments are displayed. Closes <a href="https://github.com/sizespectrum/mizer/issues/205" class="external-link">#205</a>.</p></li>
+<li><p><code><a href="../reference/animateSpectra.html">animateSpectra()</a></code> gains a <code>background</code> argument (default <code>TRUE</code>) to include background species in the animation, consistent with <code><a href="../reference/plotSpectra.html">plotSpectra()</a></code>. Each background species is shown as a separate grey line grouped under a single “Background” legend entry.</p></li>
+<li><p><code><a href="../reference/setRateFunction.html">setRateFunction()</a></code> now validates the registered function by calling it with test inputs and checking that the return value has the correct dimensions. This catches mismatched custom rate functions at registration time rather than during a simulation run. Closes <a href="https://github.com/sizespectrum/mizer/issues/167" class="external-link">#167</a>.</p></li>
+<li><p>New species parameters <code>z_ext</code> (default 0) and <code>d</code> (default <code>n - 1</code>) add an optional power-law term to the external mortality: <code>mu_ext(w) = z0 + z_ext *   w^d</code>. When <code>z_ext</code> is zero (the default) the behaviour is unchanged. Closes <a href="https://github.com/sizespectrum/mizer/issues/329" class="external-link">#329</a>.</p></li>
+<li><p>New species parameter <code>E_ext</code> (default 0) sets the coefficient of the external encounter rate power law. <code><a href="../reference/setExtEncounter.html">setExtEncounter()</a></code> now calculates the default external encounter rate as <code>E_ext * w^n</code> when no custom array is supplied, matching the pattern of <code><a href="../reference/setMaxIntakeRate.html">setMaxIntakeRate()</a></code>. A <code>reset</code> argument is also added to <code><a href="../reference/setExtEncounter.html">setExtEncounter()</a></code> to force recalculation from species parameters.</p></li>
+<li><p>The indicator functions <code><a href="../reference/getProportionOfLargeFish.html">getProportionOfLargeFish()</a></code>, <code><a href="../reference/getMeanWeight.html">getMeanWeight()</a></code>, <code><a href="../reference/getMeanMaxWeight.html">getMeanMaxWeight()</a></code>, and <code><a href="../reference/getCommunitySlope.html">getCommunitySlope()</a></code> now also accept a <code>MizerParams</code> object and return a single value (or named vector for <code><a href="../reference/getMeanMaxWeight.html">getMeanMaxWeight()</a></code> with <code>measure = "both"</code>) calculated from the initial abundances. Closes <a href="https://github.com/sizespectrum/mizer/issues/262" class="external-link">#262</a>.</p></li>
+<li><p><code><a href="../reference/addSpecies.html">addSpecies()</a></code> now accepts an <code>info_level</code> argument (default 3) to control the verbosity of information messages, consistent with <code><a href="../reference/newMultispeciesParams.html">newMultispeciesParams()</a></code>. Set <code>info_level = 0</code> to suppress all such messages. Closes <a href="https://github.com/sizespectrum/mizer/issues/290" class="external-link">#290</a>.</p></li>
+<li><p><code><a href="https://rdrr.io/r/base/summary.html" class="external-link">summary()</a></code> for <code>MizerParams</code> and <code>MizerSim</code> now displays metadata from the <code>@metadata</code> slot, including title, description, authors, DOI, URL, mizer version, and creation/modification timestamps (when set).</p></li>
+<li><p>New <code>ArraySpeciesBySize</code> S3 class for the species x size arrays returned by many mizer functions such as <code><a href="../reference/getEncounter.html">getEncounter()</a></code>, <code><a href="../reference/getFeedingLevel.html">getFeedingLevel()</a></code>, <code><a href="../reference/setMaxIntakeRate.html">getMaxIntakeRate()</a></code>, <code><a href="../reference/setMetabolicRate.html">getMetabolicRate()</a></code>, <code><a href="../reference/setSearchVolume.html">getSearchVolume()</a></code>, <code><a href="../reference/setExtMort.html">getExtMort()</a></code>, <code><a href="../reference/setExtEncounter.html">getExtEncounter()</a></code>, <code><a href="../reference/setReproduction.html">getMaturityProportion()</a></code>, <code><a href="../reference/setReproduction.html">getReproductionProportion()</a></code>, <code>diffusion()</code>, <code><a href="../reference/finalN.html">finalN()</a></code>, <code><a href="../reference/initialN-set.html">initialN()</a></code>, and <code><a href="../reference/get_initial_n.html">get_initial_n()</a></code>. An <code>ArraySpeciesBySize</code> object behaves like a regular matrix for arithmetic and subsetting, but carries a human-readable <code>value_name</code> and <code>units</code> attribute and provides enhanced <code><a href="https://rdrr.io/r/base/print.html" class="external-link">print()</a></code>, <code><a href="https://rdrr.io/r/base/summary.html" class="external-link">summary()</a></code>, <code><a href="../reference/plot.html">plot()</a></code>, and <code><a href="https://rdrr.io/r/base/as.data.frame.html" class="external-link">as.data.frame()</a></code> methods.</p></li>
+<li><p>New <code>ArraySpeciesByTime</code> S3 class for the time x species arrays returned by <code><a href="../reference/getBiomass.html">getBiomass()</a></code>, <code><a href="../reference/getSSB.html">getSSB()</a></code>, <code><a href="../reference/getN.html">getN()</a></code>, and <code><a href="../reference/getYield.html">getYield()</a></code> when called on a <code>MizerSim</code> object. Like <code>ArraySpeciesBySize</code>, it carries <code>value_name</code> and <code>units</code> attributes and provides enhanced <code><a href="https://rdrr.io/r/base/print.html" class="external-link">print()</a></code>, <code><a href="https://rdrr.io/r/base/summary.html" class="external-link">summary()</a></code>, <code><a href="../reference/plot.html">plot()</a></code>, and <code><a href="https://rdrr.io/r/base/as.data.frame.html" class="external-link">as.data.frame()</a></code> methods.</p></li>
+<li><p>New <code><a href="https://rdrr.io/pkg/plotly/man/ggplotly.html" class="external-link">ggplotly()</a></code> methods for <code>ArraySpeciesBySize</code> and <code>ArraySpeciesByTime</code> that convert the <code>ggplot2</code> output of <code><a href="../reference/plot.html">plot()</a></code> into an interactive plotly figure via <code><a href="https://rdrr.io/pkg/plotly/man/ggplotly.html" class="external-link">plotly::ggplotly()</a></code>.</p></li>
+<li><p>The <code><a href="../reference/plot.html">plot()</a></code> method for <code>ArraySpeciesBySize</code> gains <code>log_y</code>, <code>wlim</code>, and <code>ylim</code> arguments for controlling the y-axis scale and axis limits. The <code><a href="../reference/plot.html">plot()</a></code> method for <code>ArraySpeciesByTime</code> gains <code>log</code> and <code>ylim</code> arguments.</p></li>
+<li><p>New <code><a href="../reference/getTrophicLevel.html">getTrophicLevel()</a></code> function returns a matrix (species × size) with the trophic level of individuals at each size, accounting for ontogenetic diet shifts by integrating the consumption-weighted average prey trophic level over the individual’s growth trajectory. New <code><a href="../reference/getTrophicLevelBySpecies.html">getTrophicLevelBySpecies()</a></code> returns the consumption-rate-weighted mean trophic level per species. Both functions accept <code>MizerParams</code> and <code>MizerSim</code> objects. Closes <a href="https://github.com/sizespectrum/mizer/issues/307" class="external-link">#307</a>.</p></li>
+<li><p>The <code><a href="../reference/plot.html">plot()</a></code> and <code><a href="https://rdrr.io/r/base/summary.html" class="external-link">summary()</a></code> methods for <code>MizerParams</code>, <code>MizerSim</code>, and <code>ArraySpeciesBySize</code> objects are now registered as S3 methods rather than S4 methods. This means <code><a href="../reference/plot.html">plot()</a></code> and <code><a href="https://rdrr.io/r/base/summary.html" class="external-link">summary()</a></code> remain plain S3 generics when mizer is loaded, avoiding interference with S4 method dispatch for other packages.</p></li>
+<li><p>New <code><a href="../reference/expandSizeGrid.html">expandSizeGrid()</a></code> function expands the size grid of a <code>MizerParams</code> object to a new minimum and/or maximum size while preserving all existing species data.</p></li>
+<li><p>Added <code>info_level</code> argument to <code><a href="../reference/projectToSteady.html">projectToSteady()</a></code>, <code><a href="../reference/steady.html">steady()</a></code>, <code><a href="../reference/setParams.html">setParams()</a></code>, <code><a href="../reference/newCommunityParams.html">newCommunityParams()</a></code>, <code><a href="../reference/newTraitParams.html">newTraitParams()</a></code>, <code><a href="../reference/matchBiomasses.html">matchBiomasses()</a></code>, <code><a href="../reference/matchNumbers.html">matchNumbers()</a></code>, and <code><a href="../reference/matchYields.html">matchYields()</a></code>. Setting <code>info_level = 0</code> suppresses informational messages; <code>info_level = 3</code> (the default) shows all messages.</p></li>
+<li><p><code>t_max</code> and <code>t_save</code> arguments in <code><a href="../reference/project.html">project()</a></code> are now respected even when an effort array is supplied. When <code>t_max</code> is provided, the simulation extends beyond the times in the effort array using the last known effort values. When <code>t_save</code> is provided, it controls the save frequency with effort values interpolated as needed. This allows users to extend simulations without specifying dummy effort values for the final time period (<a href="https://github.com/sizespectrum/mizer/issues/231" class="external-link">#231</a>).</p></li>
+<li><p>The numerical scheme now supports diffusion in the McKendrick-von Foerster equation, allowing individual variability in growth to be modelled. A new <code>diffusion</code> slot in <code>MizerParams</code> holds the diffusion coefficient (species x size). Use <code><a href="../reference/setExtDiffusion.html">setExtDiffusion()</a></code> / <code><a href="../reference/setExtDiffusion.html">ext_diffusion()</a></code> / <code>ext_diffusion&lt;-()</code> to set and retrieve it.</p></li>
+<li><p>New <code><a href="../reference/getFlux.html">getFlux()</a></code> function calculates the flux of individuals entering each size class, combining the advective flux from somatic growth and the diffusive flux.</p></li>
+<li><p><code><a href="../reference/getRequiredRDD.html">getRequiredRDD()</a></code> is now exported. It calculates the recruitment rate needed to maintain a given initial abundance, accounting for both growth and diffusion.</p></li>
+<li><p><code><a href="../reference/steadySingleSpecies.html">steadySingleSpecies()</a></code> now correctly preserves the steady state under <code><a href="../reference/project.html">project()</a></code>, including when diffusion is non-zero.</p></li>
+<li><p>Growth is now forced to always be non-negative, preventing unphysical shrinkage. No warning is issued when growth stops at or after maturity size.</p></li>
+<li><p>New vignettes: cohort dynamics demonstrating the effect of diffusion in a single-species model; numerical details documenting the finite-volume scheme and its steady-state solution; and a vignette on using FFT for predation kernel calculations.</p></li>
+<li><p>Many functions now have S3 methods so they can be called with either a MizerParams or MizerSim object and users could define their own subclasses and methods to modify mizer behaviour (<a href="https://github.com/sizespectrum/mizer/issues/330" class="external-link">#330</a>).</p></li>
+<li><p><code><a href="../reference/getBiomass.html">getBiomass()</a></code> now has a <code>use_cutoff</code> argument to restrict the biomass calculation to sizes above the <code>biomass_cutoff</code> species parameter.</p></li>
+<li><p><code><a href="../reference/plotBiomass.html">plotBiomass()</a></code> and <code><a href="../reference/plotBiomass.html">plotlyBiomass()</a></code> now have a <code>use_cutoff</code> argument, passed to <code><a href="../reference/getBiomass.html">getBiomass()</a></code>.</p></li>
+<li><p><code><a href="../reference/age_mat_vB.html">age_mat_vB()</a></code> is now exported.</p></li>
+<li><p><code><a href="../reference/project_n.html">project_n()</a></code> is a new exported function that projects the abundance spectrum forward in time, factored out of <code><a href="../reference/project.html">project()</a></code>.</p></li>
+</ul><div class="section level3">
+<h3 id="bug-fixes-2-5-4-9102">Bug fixes<a class="anchor" aria-label="anchor" href="#bug-fixes-2-5-4-9102"></a></h3>
+<ul><li>
+<code><a href="../reference/getMeanMaxWeight.html">getMeanMaxWeight()</a></code> now correctly applies the species selector to the denominator.</li>
+<li>
+<code><a href="../reference/upgradeParams.html">upgradeParams()</a></code> now preserves <code>MizerParams</code> subclasses and their extra slots when upgrading older objects.</li>
+<li>
+<code><a href="../reference/plotDataFrame.html">plotDataFrame()</a></code> now correctly applies custom log-scale x breaks.</li>
+<li>
+<code><a href="../reference/get_size_range_array.html">get_size_range_array()</a></code> no longer gives an error when no size brackets are selected.</li>
+</ul></div>
+</div>
+    <div class="section level2">
+<h2 class="pkg-version" data-toc-text="2.5.4" id="mizer-254">mizer 2.5.4<a class="anchor" aria-label="anchor" href="#mizer-254"></a></h2><p class="text-muted">CRAN release: 2025-11-16</p>
 <ul><li>New function <code><a href="../reference/renameGear.html">renameGear()</a></code> to rename gears in a MizerParams object, similar to <code><a href="../reference/renameSpecies.html">renameSpecies()</a></code>.</li>
 <li>
 <code><a href="../reference/addSpecies.html">addSpecies()</a></code> now proceeds with a warning instead of an error when species growth stops after maturity (<a href="https://github.com/sizespectrum/mizer/issues/315" class="external-link">#315</a>).</li>
@@ -275,7 +340,7 @@ <h3 id="bug-fixes-2-4-0">Bug fixes<a class="anchor" aria-label="anchor" href="#b
 <h2 class="pkg-version" data-toc-text="2.3.1" id="mizer-231">mizer 2.3.1<a class="anchor" aria-label="anchor" href="#mizer-231"></a></h2><p class="text-muted">CRAN release: 2022-07-06</p>
 <ul><li>Resolved conflict in <code><a href="../reference/mizerPredRate.html">mizerPredRate()</a></code> between the argument <code>t</code> and the function <code><a href="https://rdrr.io/r/base/t.html" class="external-link">base::t()</a></code>.</li>
 <li>Assert that upgradeParams() must be called with a MizerParams object and <code><a href="../reference/upgradeSim.html">upgradeSim()</a></code> with a MizerSim object.</li>
-<li>Errors changed to warnings in <code>getRequiredRDD()</code>
+<li>Errors changed to warnings in <code><a href="../reference/getRequiredRDD.html">getRequiredRDD()</a></code>
 </li>
 <li>
 <code><a href="../reference/renameSpecies.html">renameSpecies()</a></code> no longer fails when linecolour and linetype are of different lengths.</li>
@@ -313,7 +378,7 @@ <h3 id="small-improvements-2-3-0">Small improvements<a class="anchor" aria-label
 <li>The setter functions have a new <code>reset</code> argument which, when set to <code>TRUE</code> will recalculate the rates from the species_, gear_ and resource_params even when custom values had been set. <a href="https://github.com/sizespectrum/mizer/issues/214" class="external-link">#214</a></li>
 <li>The <code>species</code> argument to various functions, which is checked with <code><a href="../reference/valid_species_arg.html">valid_species_arg()</a></code>, now does not throw an error even when there is no valid species included. Only a warning is issued. That means that for example <code>plotSpectra(NS_params, species = list(), total = TRUE)</code> is now allowed.</li>
 <li>
-<code><a href="../reference/getComponent.html">getComponent()</a></code> from the mizer extension mechanism now returns NULL when asked for a non-existent component instead of giving an error. This gives an easy way to check for the existence of a component.</li>
+<code><a href="../reference/setComponent.html">getComponent()</a></code> from the mizer extension mechanism now returns NULL when asked for a non-existent component instead of giving an error. This gives an easy way to check for the existence of a component.</li>
 <li>The example interaction matrix <code>inter</code> for the North Sea model now has the alternative name <code>NS_interaction</code>, with the old name deprecated.</li>
 <li>Species added with <code><a href="../reference/addSpecies.html">addSpecies()</a></code> are now by default given a reproduction level of 1/4 instead of 0, because at the low densities at which they are introduced there would otherwise not be enough density dependence to stabilise them.</li>
 <li>The size range arguments <code>min_w</code>, <code>max_w</code>, <code>min_l</code> and <code>max_l</code> used in some summary functions and processed by <code><a href="../reference/get_size_range_array.html">get_size_range_array()</a></code> accept vector values setting different limits for different species.</li>
@@ -323,7 +388,7 @@ <h3 id="small-improvements-2-3-0">Small improvements<a class="anchor" aria-label
 <li>Many improvements in the documentation.</li>
 <li>Many small improvements to code quality and testing.</li>
 <li>Better social media cards, especially for twitter.</li>
-<li>mizer can be run on binder, <a href="https://mybinder.org/v2/gh/sizespectrum/mizer/HEAD?urlpath=rstudio" class="external-link uri">https://mybinder.org/v2/gh/sizespectrum/mizer/HEAD?urlpath=rstudio</a>
+<li>mizer can be <a href="https://mybinder.org/v2/gh/sizespectrum/mizer/HEAD?urlpath=rstudio" class="external-link">run on binder</a>
 </li>
 </ul></div>
 <div class="section level3">
@@ -629,7 +694,7 @@ <h3 id="plotting-2-0-0">Plotting<a class="anchor" aria-label="anchor" href="#plo
 <li>New <code>highlight</code> argument to all plot functions that display curves for multiple species. Displays highlighted species with wider lines.</li>
 <li>In the legends of all plots the species are now consistently ordered in the same way as in the species parameter data frame.</li>
 <li>All plot functions that are not time-resolved now accept also a MizerParams object as an alternative to the MizerSim object to plot the initial state.</li>
-<li>New <code><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot()</a></code> method for MizerParams object to plot the initial state.</li>
+<li>New <code><a href="../reference/plot.html">plot()</a></code> method for MizerParams object to plot the initial state.</li>
 <li>Avoiding duplicate graphs in R Markdown documents.</li>
 <li>New argument <code>include_critical</code> in <code><a href="../reference/plotFeedingLevel.html">plotFeedingLevel()</a></code> allows to show also the critical feeding level.</li>
 <li>New <code>wlim</code> argument to <code><a href="../reference/plotSpectra.html">plotSpectra()</a></code> in analogy to the existing <code>ylim</code> argument to limit the <code>w</code> range in the plot.</li>
@@ -660,9 +725,9 @@ <h3 id="other-new-functions-2-0-0">Other new functions<a class="anchor" aria-lab
 <li>New <code><a href="../reference/getGrowthCurves.html">getGrowthCurves()</a></code> calculates the growth curves (size at age).</li>
 <li>New <code><a href="../reference/mizerRates.html">mizerRates()</a></code> calculates all the rates needed in the model and collects them in a list.</li>
 <li>A convenience function <code>times()</code> to extract the times at which simulation results are saved in a MizerSim object.</li>
-<li>Convenience functions <code><a href="../reference/finalN.html">finalN()</a></code>, <code><a href="../reference/finalN.html">finalNResource()</a></code> and <code><a href="../reference/finalNOther.html">finalNOther()</a></code> as well as <code><a href="../reference/finalN.html">idxFinalT()</a></code> to access the values at the final time of a simulation.</li>
+<li>Convenience functions <code><a href="../reference/finalN.html">finalN()</a></code>, <code><a href="../reference/finalN.html">finalNResource()</a></code> and <code><a href="../reference/NOther.html">finalNOther()</a></code> as well as <code><a href="../reference/finalN.html">idxFinalT()</a></code> to access the values at the final time of a simulation.</li>
 <li>New function <code><a href="../reference/getCriticalFeedingLevel.html">getCriticalFeedingLevel()</a></code> returns the critical feeding level for each species at each size.</li>
-<li>Mizer reexports the <code><a href="https://rdrr.io/pkg/reshape2/man/melt.html" class="external-link">melt()</a></code> function from the reshape2 package which allows users to convert the arrays returned by mizer functions into data frames that can be used for example in ggplot2 and plotly.</li>
+<li>Mizer re-exports the <code><a href="https://rdrr.io/pkg/reshape2/man/melt.html" class="external-link">melt()</a></code> function from the reshape2 package which allows users to convert the arrays returned by mizer functions into data frames that can be used for example in ggplot2 and plotly.</li>
 <li>
 <code><a href="../reference/validSpeciesParams.html">validSpeciesParams()</a></code> checks validity of species parameter data frame and sets defaults for missing but required parameters.</li>
 </ul></div>
diff --git a/docs/pkgdown.yml b/docs/pkgdown.yml
index f18beb8c4..8b044caa9 100644
--- a/docs/pkgdown.yml
+++ b/docs/pkgdown.yml
@@ -3,22 +3,30 @@ pkgdown: 2.2.0
 pkgdown_sha: ~
 articles:
   a_multispecies_model_of_the_north_sea: a_multispecies_model_of_the_north_sea.html
+  analytic_test: analytic_test.html
+  cheatsheet: cheatsheet.html
+  cohort_dynamics_and_diffusion: cohort_dynamics_and_diffusion.html
   community_model: community_model.html
   developer_FAQ: developer_FAQ.html
   developer_vignette: developer_vignette.html
   editing_website: editing_website.html
   exploring_the_simulation_results: exploring_the_simulation_results.html
+  extension-packages: extension-packages.html
+  extensions: extensions.html
+  mathematical_details: mathematical_details.html
   mizer_vignette: mizer_vignette.html
   mizer: mizer.html
   model_description: model_description.html
   multispecies_model: multispecies_model.html
+  numerical_details: numerical_details.html
   plotting: plotting.html
+  predation_diffusion: predation_diffusion.html
   publications: publications.html
   running_a_simulation: running_a_simulation.html
   single_species_size-spectrum_dynamics: single_species_size-spectrum_dynamics.html
   trait_model: trait_model.html
   working_with_git: working_with_git.html
-last_built: 2025-11-16T20:57Z
+last_built: 2026-05-07T17:42Z
 urls:
   reference: https://sizespectrum.org/mizer/reference
   article: https://sizespectrum.org/mizer/articles
diff --git a/docs/reference/ArraySpeciesBySize.html b/docs/reference/ArraySpeciesBySize.html
new file mode 100644
index 000000000..ec43467be
--- /dev/null
+++ b/docs/reference/ArraySpeciesBySize.html
@@ -0,0 +1,181 @@
+<!DOCTYPE html>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en-GB"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>S3 class for species x size rate arrays — ArraySpeciesBySize • mizer</title><!-- favicons --><link rel="icon" type="image/png" sizes="96x96" href="../favicon-96x96.png"><link rel="icon" type="”image/svg+xml”" href="../favicon.svg"><link rel="apple-touch-icon" sizes="180x180" href="../apple-touch-icon.png"><link rel="icon" sizes="any" href="../favicon.ico"><link rel="manifest" href="../site.webmanifest"><!-- mathjax math --><script src="https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/tex-mml-chtml.js" integrity="sha256-MASABpB4tYktI2Oitl4t+78w/lyA+D7b/s9GEP0JOGI=" crossorigin="anonymous"></script><script>
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+holding rates like encounter rate, feeding level, growth rate, mortality etc.
+The ArraySpeciesBySize class wraps these arrays to provide convenient
+print(), summary(), plot(), and as.data.frame() methods."><meta property="og:description" content="Many functions in mizer return two-dimensional arrays (species x size)
+holding rates like encounter rate, feeding level, growth rate, mortality etc.
+The ArraySpeciesBySize class wraps these arrays to provide convenient
+print(), summary(), plot(), and as.data.frame() methods."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
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+    <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
+    <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
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+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>S3 class for species x size rate arrays</h1>
+      <small class="dont-index">Source: <a href="https://github.com/sizespectrum/mizer/blob/HEAD/R/ArraySpeciesBySize-class.R" class="external-link"><code>R/ArraySpeciesBySize-class.R</code></a></small>
+      <div class="d-none name"><code>ArraySpeciesBySize.Rd</code></div>
+    </div>
+
+    <div class="ref-description section level2">
+    <p>Many functions in mizer return two-dimensional arrays (species x size)
+holding rates like encounter rate, feeding level, growth rate, mortality etc.
+The <code>ArraySpeciesBySize</code> class wraps these arrays to provide convenient
+<code><a href="https://rdrr.io/r/base/print.html" class="external-link">print()</a></code>, <code><a href="https://rdrr.io/r/base/summary.html" class="external-link">summary()</a></code>, <code><a href="plot.html">plot()</a></code>, and <code><a href="https://rdrr.io/r/base/as.data.frame.html" class="external-link">as.data.frame()</a></code> methods.</p>
+    </div>
+
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">ArraySpeciesBySize</span><span class="op">(</span><span class="va">x</span>, value_name <span class="op">=</span> <span class="cn">NULL</span>, units <span class="op">=</span> <span class="cn">NULL</span>, params <span class="op">=</span> <span class="cn">NULL</span><span class="op">)</span></span></code></pre></div>
+    </div>
+
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-x">x<a class="anchor" aria-label="anchor" href="#arg-x"></a></dt>
+<dd><p>A matrix (species x size).</p></dd>
+
+
+<dt id="arg-value-name">value_name<a class="anchor" aria-label="anchor" href="#arg-value-name"></a></dt>
+<dd><p>A string giving the human-readable name for the value.</p></dd>
+
+
+<dt id="arg-units">units<a class="anchor" aria-label="anchor" href="#arg-units"></a></dt>
+<dd><p>A string giving the units (e.g. "g/year", "1/year").</p></dd>
+
+
+<dt id="arg-params">params<a class="anchor" aria-label="anchor" href="#arg-params"></a></dt>
+<dd><p>A <code>MizerParams</code> object. Used for species colours, linetypes,
+and size ranges in the <code><a href="plot.html">plot()</a></code> method.</p></dd>
+
+</dl></div>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p>An <code>ArraySpeciesBySize</code> object (inherits from <code>matrix</code> and <code>array</code>).</p>
+    </div>
+    <div class="section level2">
+    <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
+    <p>An <code>ArraySpeciesBySize</code> object behaves just like a regular matrix for
+arithmetic operations and subsetting. It carries two lightweight attributes:</p><ul><li><p><code>value_name</code> – a human-readable name for the value
+(e.g. "Encounter rate").</p></li>
+<li><p><code>units</code> – the units of the rate (e.g. "g/year").</p></li>
+</ul></div>
+
+    <div class="section level2">
+    <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="co"># \donttest{</span></span></span>
+<span class="r-in"><span><span class="va">enc</span> <span class="op">&lt;-</span> <span class="fu"><a href="getEncounter.html">getEncounter</a></span><span class="op">(</span><span class="va">NS_params</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="fu"><a href="is.ArraySpeciesBySize.html">is.ArraySpeciesBySize</a></span><span class="op">(</span><span class="va">enc</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [1] TRUE</span>
+<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/summary.html" class="external-link">summary</a></span><span class="op">(</span><span class="va">enc</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Encounter rate [g/year] </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 12 species x 100 sizes</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  Species       Min      Mean       Max</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>    Sprat 0.2992076  2929.178  39573.31</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  Sandeel 0.4528175  3768.983  45507.81</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   N.pout 0.5019776 16840.828 147886.62</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  Herring 0.5752333  6241.503  80375.40</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>      Dab 0.4916095 24004.843 266704.99</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  Whiting 0.4362525 17348.364 137539.48</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     Sole 0.3646753 12087.308 148784.12</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  Gurnard 0.3122260 11327.057 135351.68</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Plaice 0.2323659 11800.440 113242.16</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  Haddock 0.5964130 24932.923 334719.58</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>      Cod 0.9658343 52646.610 436916.91</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Saithe 0.7709631 16377.321 187775.81</span>
+<span class="r-in"><span><span class="co"># }</span></span></span>
+</code></pre></div>
+    </div>
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diff --git a/docs/reference/ArraySpeciesByTime.html b/docs/reference/ArraySpeciesByTime.html
new file mode 100644
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@@ -0,0 +1,182 @@
+<!DOCTYPE html>
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+holding quantities like biomass, abundance, or yield rate through time.
+The ArraySpeciesByTime class wraps these arrays to provide convenient
+print(), summary(), plot(), and as.data.frame() methods."><meta property="og:description" content="Some functions in mizer return two-dimensional arrays (time x species)
+holding quantities like biomass, abundance, or yield rate through time.
+The ArraySpeciesByTime class wraps these arrays to provide convenient
+print(), summary(), plot(), and as.data.frame() methods."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
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+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>S3 class for time x species arrays</h1>
+      <small class="dont-index">Source: <a href="https://github.com/sizespectrum/mizer/blob/HEAD/R/ArraySpeciesByTime-class.R" class="external-link"><code>R/ArraySpeciesByTime-class.R</code></a></small>
+      <div class="d-none name"><code>ArraySpeciesByTime.Rd</code></div>
+    </div>
+
+    <div class="ref-description section level2">
+    <p>Some functions in mizer return two-dimensional arrays (time x species)
+holding quantities like biomass, abundance, or yield rate through time.
+The <code>ArraySpeciesByTime</code> class wraps these arrays to provide convenient
+<code><a href="https://rdrr.io/r/base/print.html" class="external-link">print()</a></code>, <code><a href="https://rdrr.io/r/base/summary.html" class="external-link">summary()</a></code>, <code><a href="plot.html">plot()</a></code>, and <code><a href="https://rdrr.io/r/base/as.data.frame.html" class="external-link">as.data.frame()</a></code> methods.</p>
+    </div>
+
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">ArraySpeciesByTime</span><span class="op">(</span><span class="va">x</span>, value_name <span class="op">=</span> <span class="cn">NULL</span>, units <span class="op">=</span> <span class="cn">NULL</span>, params <span class="op">=</span> <span class="cn">NULL</span><span class="op">)</span></span></code></pre></div>
+    </div>
+
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-x">x<a class="anchor" aria-label="anchor" href="#arg-x"></a></dt>
+<dd><p>A matrix (time x species).</p></dd>
+
+
+<dt id="arg-value-name">value_name<a class="anchor" aria-label="anchor" href="#arg-value-name"></a></dt>
+<dd><p>A string giving the human-readable name for the value.</p></dd>
+
+
+<dt id="arg-units">units<a class="anchor" aria-label="anchor" href="#arg-units"></a></dt>
+<dd><p>A string giving the units (e.g. "g", "g/year").</p></dd>
+
+
+<dt id="arg-params">params<a class="anchor" aria-label="anchor" href="#arg-params"></a></dt>
+<dd><p>A <code>MizerParams</code> object holding the model that created the
+values.</p></dd>
+
+</dl></div>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p>An <code>ArraySpeciesByTime</code> object (inherits from <code>matrix</code> and <code>array</code>).</p>
+    </div>
+    <div class="section level2">
+    <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
+    <p>An <code>ArraySpeciesByTime</code> object behaves just like a regular matrix for
+arithmetic operations and subsetting. It carries these lightweight attributes:</p><ul><li><p><code>value_name</code> – a human-readable name for the value
+(e.g. "Biomass").</p></li>
+<li><p><code>units</code> – the units of the value (e.g. "g", "g/year").</p></li>
+<li><p><code>params</code> – the <code>MizerParams</code> object that created the values.</p></li>
+</ul></div>
+
+    <div class="section level2">
+    <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="co"># \donttest{</span></span></span>
+<span class="r-in"><span><span class="va">bio</span> <span class="op">&lt;-</span> <span class="fu"><a href="getBiomass.html">getBiomass</a></span><span class="op">(</span><span class="va">NS_sim</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="fu"><a href="is.ArraySpeciesByTime.html">is.ArraySpeciesByTime</a></span><span class="op">(</span><span class="va">bio</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [1] TRUE</span>
+<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/summary.html" class="external-link">summary</a></span><span class="op">(</span><span class="va">bio</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Biomass [g] </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 44 times x 12 species</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  Species          Min         Mean          Max</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>    Sprat 1.879468e+10 3.974130e+10 5.654305e+10</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  Sandeel 7.342796e+11 2.099658e+12 3.737535e+12</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   N.pout 2.528021e+11 3.254617e+11 3.929766e+11</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  Herring 2.152333e+11 3.944814e+11 5.243289e+11</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>      Dab 1.200040e+10 1.649782e+10 1.953451e+10</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  Whiting 1.983459e+11 2.210414e+11 2.605881e+11</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     Sole 9.370624e+10 1.058612e+11 1.280000e+11</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  Gurnard 1.067321e+11 1.291922e+11 1.457401e+11</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Plaice 1.950539e+12 2.260909e+12 2.756253e+12</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  Haddock 5.358152e+11 6.424916e+11 8.205085e+11</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>      Cod 2.544990e+11 3.871450e+11 1.618389e+12</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Saithe 6.211381e+11 7.998952e+11 1.062987e+12</span>
+<span class="r-in"><span><span class="co"># }</span></span></span>
+</code></pre></div>
+    </div>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside></div>
+
+
+    <footer><div class="pkgdown-footer-left">
+  <p>Developed by <a href="https://www.york.ac.uk/maths/staff/gustav-delius/" class="external-link">Gustav Delius</a>, Finlay Scott, <a href="http://www.utas.edu.au/profiles/staff/imas/julia-blanchard" class="external-link">Julia Blanchard</a>, <a href="https://ken.haste.dk/" class="external-link">Ken Andersen</a>.</p>
+</div>
+
+<div class="pkgdown-footer-right">
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
+</div>
+
+    </footer></div>
+
+
+
+
+
+  </body></html>
+
diff --git a/docs/reference/BevertonHoltRDD.html b/docs/reference/BevertonHoltRDD.html
index a13dcf9dd..47dc79eb0 100644
--- a/docs/reference/BevertonHoltRDD.html
+++ b/docs/reference/BevertonHoltRDD.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Beverton Holt function to calculate density-dependent reproduction rate — BevertonHoltRDD"><meta name="description" content="Takes the density-independent rates \(R_{di}\) of egg production (as
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Beverton Holt function to calculate density-dependent reproduction rate — BevertonHoltRDD"><meta name="description" content="Takes the density-independent rates \(R_{di}\) of egg production (as
 calculated by getRDI()) and returns
 reduced, density-dependent reproduction rates \(R_{dd}\) given as
 $$R_{dd} = R_{di}
@@ -29,7 +29,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -50,13 +50,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -66,7 +74,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -144,7 +153,8 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
 <code><a href="SheperdRDD.html">SheperdRDD()</a></code>,
 <code><a href="constantEggRDI.html">constantEggRDI()</a></code>,
 <code><a href="constantRDD.html">constantRDD()</a></code>,
-<code><a href="noRDD.html">noRDD()</a></code></p></div>
+<code><a href="noRDD.html">noRDD()</a></code>,
+<code><a href="projectRDD.html">projectRDD()</a></code></p></div>
     </div>
 
   </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
diff --git a/docs/reference/MizerParams-class.html b/docs/reference/MizerParams-class.html
index ca62bb399..1bfa12852 100644
--- a/docs/reference/MizerParams-class.html
+++ b/docs/reference/MizerParams-class.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="A class to hold the parameters for a size based model. — MizerParams-class"><meta name="description" content="Although it is possible to build a MizerParams object by hand it is
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="A class to hold the parameters for a size based model. — MizerParams-class"><meta name="description" content="Although it is possible to build a MizerParams object by hand it is
 not recommended and several constructors are available. Dynamic simulations
 are performed using project() function on objects of this class. As a
 user you should never need to access the slots inside a MizerParams object
@@ -21,7 +21,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -42,13 +42,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -58,7 +66,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -114,10 +123,12 @@ <h2 id="slots">Slots<a class="anchor" aria-label="anchor" href="#slots"></a></h2
 
 
 <dt><code>extensions</code></dt>
-<dd><p>A named vector of strings where each name is the name of
-and extension package needed to run the model and each value is a string
-giving the information that the remotes package needs to install the
-correct version of the extension package, see https://remotes.r-lib.org/.</p></dd>
+<dd><p>A named vector of strings describing the extension chain
+needed to run the model. The names are extension identifiers and S4 marker
+class names. The order is the S3 dispatch order, from outermost to
+innermost extension. The values are version strings, installation
+specifications, or <code>NA_character_</code>. Extension subclasses are marker
+classes only and must not add slots.</p></dd>
 
 
 <dt><code>time_created</code></dt>
@@ -193,6 +204,13 @@ <h2 id="slots">Slots<a class="anchor" aria-label="anchor" href="#slots"></a></h2
 \(E_{ext.i}(w)\). Changed with <code><a href="setExtEncounter.html">setExtEncounter()</a></code>.</p></dd>
 
 
+<dt><code>ext_diffusion</code></dt>
+<dd><p>An array (species x size) that holds the external rate at
+which the
+abundance density is redistributed over body size due to mixing, beyond the
+deterministic growth dynamics. Changed with <code><a href="setExtDiffusion.html">ext_diffusion()</a></code>.</p></dd>
+
+
 <dt><code>pred_kernel</code></dt>
 <dd><p>An array (species x predator size x prey size) that holds
 the predation coefficient of each predator at size on each prey size. If
@@ -322,8 +340,10 @@ <h2 id="slots">Slots<a class="anchor" aria-label="anchor" href="#slots"></a></h2
 
 
 <dt><code>A</code></dt>
-<dd><p><a href="https://lifecycle.r-lib.org/articles/stages.html#experimental" class="external-link"><img src="figures/lifecycle-experimental.svg" alt="[Experimental]"></a>
-Abundance multipliers.</p></dd>
+<dd><p><a href="https://lifecycle.r-lib.org/articles/stages.html#deprecated" class="external-link"><img src="figures/lifecycle-deprecated.svg" alt="[Deprecated]"></a>
+Formerly used to flag background species via <code>NA</code> values. Replaced by the
+<code>is_background</code> column in <code>species_params</code>. Will be removed in a future
+version.</p></dd>
 
 
 <dt><code>linecolour</code></dt>
@@ -342,6 +362,13 @@ <h2 id="slots">Slots<a class="anchor" aria-label="anchor" href="#slots"></a></h2
 wrap-around errors in Fourier transform calculations.</p></dd>
 
 
+<dt><code>use_predation_diffusion</code></dt>
+<dd><p>A logical flag controlling whether predation-induced
+diffusion is included when calculating rates with <code><a href="mizerDiffusion.html">mizerDiffusion()</a></code>.
+Defaults to <code>FALSE</code> to preserve the behaviour of previous mizer versions.
+Set to <code>TRUE</code> to enable the diffusion term from the jump-growth equation.</p></dd>
+
+
 </dl></div>
     <div class="section level2">
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
diff --git a/docs/reference/MizerParams.html b/docs/reference/MizerParams.html
index d2f629838..de7ddfcc0 100644
--- a/docs/reference/MizerParams.html
+++ b/docs/reference/MizerParams.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Alias for set_multispecies_model() — MizerParams"><meta name="description" content="
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Alias for set_multispecies_model() — MizerParams"><meta name="description" content="
 An alias provided for backward compatibility with mizer version &amp;lt;= 1.0"><meta property="og:description" content="
 An alias provided for backward compatibility with mizer version &amp;lt;= 1.0"><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
@@ -15,7 +15,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -36,13 +36,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -52,7 +60,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -163,13 +172,28 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 
 
 <dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
-<dd><p>Unused</p></dd>
+<dd><p>Further arguments passed to <code><a href="newMultispeciesParams.html">newMultispeciesParams()</a></code>.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
     <p>A MizerParams object</p>
     </div>
+    <div class="section level2">
+    <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
+    <p>If <code>species_params</code> contains a <code>w_inf</code> column then it is copied to <code>w_max</code>.
+If <code>max_w</code> is not supplied then it is set to <code>1.1 * max(species_params$w_max)</code>.
+The supplied <code>min_w_pp</code> is shifted up by one grid step before being passed
+to <code><a href="newMultispeciesParams.html">newMultispeciesParams()</a></code> to compensate for the fact that newer mizer
+versions extend the full size grid below <code>min_w_pp</code>.</p>
+<p>Missing legacy columns in <code>species_params</code> are filled as follows:
+<code>gear = species</code>, <code>k = 0</code>, <code>alpha = 0.6</code>, <code>erepro = 1</code>,
+<code>sel_func = "knife_edge"</code>, <code>knife_edge_size = w_mat</code> if needed,
+<code>catchability = 1</code>, <code>ks = h * 0.2</code>, and <code>m = 1</code>.
+If <code>h</code> is missing it is calculated from <code>k_vb</code>, <code>alpha</code>, <code>f0</code> and <code>w_max</code>.
+If <code>gamma</code> is missing it is calculated from <code>f0</code>, <code>h</code>, <code>beta</code>, <code>sigma</code>,
+<code>lambda</code> and <code>kappa</code>.</p>
+    </div>
 
   </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
diff --git a/docs/reference/MizerSim-class.html b/docs/reference/MizerSim-class.html
index 544494311..0d1e0157b 100644
--- a/docs/reference/MizerSim-class.html
+++ b/docs/reference/MizerSim-class.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="A class to hold the results of a simulation — MizerSim-class"><meta name="description" content="A class that holds the results of projecting a MizerParams
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="A class to hold the results of a simulation — MizerSim-class"><meta name="description" content="A class that holds the results of projecting a MizerParams
 object through time using project()."><meta property="og:description" content="A class that holds the results of projecting a MizerParams
 object through time using project()."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
@@ -15,7 +15,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -36,13 +36,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -52,7 +60,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -109,14 +118,17 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
 functions for accessing that information.</p>
 <p>The <code>MizerSim</code> class has changed since previous versions of mizer. To use
 a <code>MizerSim</code> object created by a previous version, you need to upgrade it
-with <code><a href="upgradeSim.html">upgradeSim()</a></code>.</p>
+with <code><a href="validSim.html">validSim()</a></code>.</p>
     </div>
     <div class="section level2">
     <h2 id="slots">Slots<a class="anchor" aria-label="anchor" href="#slots"></a></h2>
 
 
 <dl><dt><code>params</code></dt>
-<dd><p>An object of type <a href="MizerParams-class.html">MizerParams</a>.</p></dd>
+<dd><p>An object of type <a href="MizerParams-class.html">MizerParams</a>.
+If this params object uses extensions, the <code>MizerSim</code> object uses the same
+extension chain via <code>params@extensions</code>; <code>MizerSim</code> has no separate
+extension slot.</p></dd>
 
 
 <dt><code>n</code></dt>
diff --git a/docs/reference/MizerSim.html b/docs/reference/MizerSim.html
index 34d97cb06..326263eef 100644
--- a/docs/reference/MizerSim.html
+++ b/docs/reference/MizerSim.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Constructor for the MizerSim class — MizerSim"><meta name="description" content="A constructor for the MizerSim class. This is used by
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Constructor for the MizerSim class — MizerSim"><meta name="description" content="A constructor for the MizerSim class. This is used by
 project() to create MizerSim objects of the right
 dimensions. It is not necessary for users to use this constructor."><meta property="og:description" content="A constructor for the MizerSim class. This is used by
 project() to create MizerSim objects of the right
@@ -17,7 +17,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -38,13 +38,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -54,7 +62,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
diff --git a/docs/reference/N.html b/docs/reference/N.html
index 86a481d8a..ab93cd246 100644
--- a/docs/reference/N.html
+++ b/docs/reference/N.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Time series of size spectra — N"><meta name="description" content="Fetch the simulation results for the size spectra over time."><meta property="og:description" content="Fetch the simulation results for the size spectra over time."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Time series of size spectra — N"><meta name="description" content="Fetch the simulation results for the size spectra over time."><meta property="og:description" content="Fetch the simulation results for the size spectra over time."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
 
 
@@ -13,7 +13,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -34,13 +34,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -50,7 +58,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
diff --git a/docs/reference/NOther.html b/docs/reference/NOther.html
index f86cbbf3e..22c2302db 100644
--- a/docs/reference/NOther.html
+++ b/docs/reference/NOther.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Time series of other components — NOther"><meta name="description" content="Fetch the simulation results for other components over time."><meta property="og:description" content="Fetch the simulation results for other components over time."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Time series of other components — NOther"><meta name="description" content="Fetch the simulation results for other components over time."><meta property="og:description" content="Fetch the simulation results for other components over time."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
 
 
@@ -13,7 +13,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -34,13 +34,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -50,7 +58,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -79,7 +88,9 @@
 
     <div class="section level2">
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">NOther</span><span class="op">(</span><span class="va">sim</span><span class="op">)</span></span></code></pre></div>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">NOther</span><span class="op">(</span><span class="va">sim</span><span class="op">)</span></span>
+<span></span>
+<span><span class="fu">finalNOther</span><span class="op">(</span><span class="va">sim</span><span class="op">)</span></span></code></pre></div>
     </div>
 
     <div class="section level2">
@@ -92,8 +103,22 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    <p>A list array (time x component) that stores the projected values for
-other ecosystem components.</p>
+    <p>For <code>NOther</code>: A list array indexed by time and component that stores the projected
+values for other ecosystem components.</p>
+<p>For <code>finalNOther</code>: A named list holding the values of other ecosystem components at the
+end of the simulation</p>
+    </div>
+    <div class="section level2">
+    <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
+    <div class="dont-index"><p>Other extension tools:
+<code><a href="clearExtensionChain.html">clearExtensionChain()</a></code>,
+<code><a href="coerceToExtensionClass.html">coerceToExtensionClass()</a></code>,
+<code><a href="getRegisteredExtensions.html">getRegisteredExtensions()</a></code>,
+<code><a href="initialNOther-set.html">initialNOther&lt;-()</a></code>,
+<code><a href="registerExtension.html">registerExtension()</a></code>,
+<code><a href="registerExtensions.html">registerExtensions()</a></code>,
+<code><a href="setComponent.html">setComponent()</a></code>,
+<code><a href="setRateFunction.html">setRateFunction()</a></code></p></div>
     </div>
 
   </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
diff --git a/docs/reference/NS_interaction.html b/docs/reference/NS_interaction.html
index 469766b1e..a3828982f 100644
--- a/docs/reference/NS_interaction.html
+++ b/docs/reference/NS_interaction.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Example interaction matrix for the North Sea example — NS_interaction"><meta name="description" content="The interaction coefficient between predator and prey species
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Example interaction matrix for the North Sea example — NS_interaction"><meta name="description" content="The interaction coefficient between predator and prey species
 in the North Sea."><meta property="og:description" content="The interaction coefficient between predator and prey species
 in the North Sea."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
@@ -15,7 +15,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -36,13 +36,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -52,7 +60,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
diff --git a/docs/reference/NS_params-1.png b/docs/reference/NS_params-1.png
index dc8bb6224..842639e7a 100644
Binary files a/docs/reference/NS_params-1.png and b/docs/reference/NS_params-1.png differ
diff --git a/docs/reference/NS_params.html b/docs/reference/NS_params.html
index d60942474..790ef85ab 100644
--- a/docs/reference/NS_params.html
+++ b/docs/reference/NS_params.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Example MizerParams object for the North Sea example — NS_params"><meta name="description" content="A MizerParams object created from the NS_species_params_gears species
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Example MizerParams object for the North Sea example — NS_params"><meta name="description" content="A MizerParams object created from the NS_species_params_gears species
 parameters and the inter interaction matrix together with an initial
 condition corresponding to the steady state obtained from fishing with an
 effort
@@ -21,7 +21,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -42,13 +42,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -58,7 +66,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -113,7 +122,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
     <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="co"># \donttest{</span></span></span>
 <span class="r-in"><span><span class="va">sim</span> <span class="op">=</span> <span class="fu"><a href="project.html">project</a></span><span class="op">(</span><span class="va">NS_params</span>, effort <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span>Industrial <span class="op">=</span> <span class="fl">0</span>, Pelagic <span class="op">=</span> <span class="fl">1</span>, </span></span>
 <span class="r-in"><span>                                    Beam <span class="op">=</span> <span class="fl">0.5</span>, Otter <span class="op">=</span> <span class="fl">0.5</span><span class="op">)</span><span class="op">)</span></span></span>
-<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">sim</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="fu"><a href="plot.html">plot</a></span><span class="op">(</span><span class="va">sim</span><span class="op">)</span></span></span>
 <span class="r-plt img"><img src="NS_params-1.png" alt="" width="700" height="433"></span>
 <span class="r-in"><span><span class="co"># }</span></span></span>
 </code></pre></div>
diff --git a/docs/reference/NS_sim.html b/docs/reference/NS_sim.html
index 928bab9da..add7beafe 100644
--- a/docs/reference/NS_sim.html
+++ b/docs/reference/NS_sim.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Example MizerSim object for the North Sea example — NS_sim"><meta name="description" content='A MizerSim object containing a simulation with historical fishing
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Example MizerSim object for the North Sea example — NS_sim"><meta name="description" content='A MizerSim object containing a simulation with historical fishing
 mortalities from the North Sea, as created in the tutorial
 "A Multi-Species Model of the North Sea".'><meta property="og:description" content='A MizerSim object containing a simulation with historical fishing
 mortalities from the North Sea, as created in the tutorial
@@ -17,7 +17,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -38,13 +38,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -54,7 +62,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
diff --git a/docs/reference/NS_species_params.html b/docs/reference/NS_species_params.html
index 027d904e3..c6496fe26 100644
--- a/docs/reference/NS_species_params.html
+++ b/docs/reference/NS_species_params.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Example species parameter set based on the North Sea — NS_species_params"><meta name="description" content="This data set is based on species in the North Sea (Blanchard et al.). It is
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Example species parameter set based on the North Sea — NS_species_params"><meta name="description" content="This data set is based on species in the North Sea (Blanchard et al.). It is
 a data.frame that contains all the necessary information to be used by the
 MizerParams() constructor. As there is no gear column, each species is
 assumed to be fished by a separate gear."><meta property="og:description" content="This data set is based on species in the North Sea (Blanchard et al.). It is
@@ -19,7 +19,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -40,13 +40,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -56,7 +64,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
diff --git a/docs/reference/NS_species_params_gears.html b/docs/reference/NS_species_params_gears.html
index 2a5ca135c..6ca3ea67e 100644
--- a/docs/reference/NS_species_params_gears.html
+++ b/docs/reference/NS_species_params_gears.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Example species parameter set based on the North Sea with different gears — NS_species_params_gears"><meta name="description" content="This data set is based on species in the North Sea (Blanchard et al.).
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Example species parameter set based on the North Sea with different gears — NS_species_params_gears"><meta name="description" content="This data set is based on species in the North Sea (Blanchard et al.).
 It is similar to the data set NS_species_params except that
 this one has an additional column specifying the fishing gear that
 operates on each species."><meta property="og:description" content="This data set is based on species in the North Sea (Blanchard et al.).
@@ -19,7 +19,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -40,13 +40,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -56,7 +64,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
diff --git a/docs/reference/RickerRDD.html b/docs/reference/RickerRDD.html
index 189183f45..027f8e097 100644
--- a/docs/reference/RickerRDD.html
+++ b/docs/reference/RickerRDD.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Ricker function to calculate density-dependent reproduction rate — RickerRDD"><meta name="description" content="
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Ricker function to calculate density-dependent reproduction rate — RickerRDD"><meta name="description" content="
 Takes the density-independent rates \(R_{di}\) of egg production and
 returns reduced, density-dependent rates \(R_{dd}\) given as
 $$R_{dd} = R_{di} \exp(- b R_{di})$$"><meta property="og:description" content="
@@ -19,7 +19,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -40,13 +40,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -56,7 +64,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -120,7 +129,8 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
 <code><a href="SheperdRDD.html">SheperdRDD()</a></code>,
 <code><a href="constantEggRDI.html">constantEggRDI()</a></code>,
 <code><a href="constantRDD.html">constantRDD()</a></code>,
-<code><a href="noRDD.html">noRDD()</a></code></p></div>
+<code><a href="noRDD.html">noRDD()</a></code>,
+<code><a href="projectRDD.html">projectRDD()</a></code></p></div>
     </div>
 
   </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
diff --git a/docs/reference/SheperdRDD.html b/docs/reference/SheperdRDD.html
index b9cb1df2d..145cd9fba 100644
--- a/docs/reference/SheperdRDD.html
+++ b/docs/reference/SheperdRDD.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Sheperd function to calculate density-dependent reproduction rate — SheperdRDD"><meta name="description" content="
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Sheperd function to calculate density-dependent reproduction rate — SheperdRDD"><meta name="description" content="
 Takes the density-independent rates \(R_{di}\) of egg production and returns
 reduced, density-dependent rates \(R_{dd}\) given as
 $$R_{dd} = \frac{R_{di}}{1+(b\ R_{di})^c}$$"><meta property="og:description" content="
@@ -19,7 +19,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -40,13 +40,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -56,7 +64,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -125,7 +134,8 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
 <code><a href="RickerRDD.html">RickerRDD()</a></code>,
 <code><a href="constantEggRDI.html">constantEggRDI()</a></code>,
 <code><a href="constantRDD.html">constantRDD()</a></code>,
-<code><a href="noRDD.html">noRDD()</a></code></p></div>
+<code><a href="noRDD.html">noRDD()</a></code>,
+<code><a href="projectRDD.html">projectRDD()</a></code></p></div>
     </div>
 
   </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
diff --git a/docs/reference/addSpecies-1.png b/docs/reference/addSpecies-1.png
index 33881e64d..03299d07d 100644
Binary files a/docs/reference/addSpecies-1.png and b/docs/reference/addSpecies-1.png differ
diff --git a/docs/reference/addSpecies.html b/docs/reference/addSpecies.html
index 76af2f558..8593c54eb 100644
--- a/docs/reference/addSpecies.html
+++ b/docs/reference/addSpecies.html
@@ -5,23 +5,21 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Add new species — addSpecies"><meta name="description" content="
-Takes a MizerParams object and adds additional species with
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Add new species — addSpecies"><meta name="description" content="Takes a MizerParams object and adds additional species with
 given parameters to the ecosystem. It sets the initial values for these new
 species to their steady-state solution in the given initial state of the
 existing ecosystem. This will be close to the true steady state if the
 abundances of the new species are sufficiently low. Hence the abundances of
 the new species are set so that they are at most 1/100th of the resource
-power law. Their reproductive efficiencies are set so as to keep them at
-that low level."><meta property="og:description" content="
-Takes a MizerParams object and adds additional species with
+power law. Their reproductive efficiencies are set so as to keep them at that
+low level."><meta property="og:description" content="Takes a MizerParams object and adds additional species with
 given parameters to the ecosystem. It sets the initial values for these new
 species to their steady-state solution in the given initial state of the
 existing ecosystem. This will be close to the true steady state if the
 abundances of the new species are sufficiently low. Hence the abundances of
 the new species are set so that they are at most 1/100th of the resource
-power law. Their reproductive efficiencies are set so as to keep them at
-that low level."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
+power law. Their reproductive efficiencies are set so as to keep them at that
+low level."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
 
 
@@ -29,7 +27,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -50,13 +48,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -66,7 +72,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -90,15 +97,14 @@
     </div>
 
     <div class="ref-description section level2">
-    <p><a href="https://lifecycle.r-lib.org/articles/stages.html#experimental" class="external-link"><img src="figures/lifecycle-experimental.svg" alt="[Experimental]"></a></p>
-<p>Takes a <a href="MizerParams-class.html">MizerParams</a> object and adds additional species with
+    <p>Takes a <a href="MizerParams-class.html">MizerParams</a> object and adds additional species with
 given parameters to the ecosystem. It sets the initial values for these new
 species to their steady-state solution in the given initial state of the
 existing ecosystem. This will be close to the true steady state if the
 abundances of the new species are sufficiently low. Hence the abundances of
 the new species are set so that they are at most 1/100th of the resource
-power law. Their reproductive efficiencies are set so as to keep them at
-that low level.</p>
+power law. Their reproductive efficiencies are set so as to keep them at that
+low level.</p>
     </div>
 
     <div class="section level2">
@@ -108,7 +114,10 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 <span>  <span class="va">species_params</span>,</span>
 <span>  gear_params <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/data.frame.html" class="external-link">data.frame</a></span><span class="op">(</span><span class="op">)</span>,</span>
 <span>  <span class="va">initial_effort</span>,</span>
-<span>  <span class="va">interaction</span></span>
+<span>  <span class="va">interaction</span>,</span>
+<span>  steady <span class="op">=</span> <span class="cn">TRUE</span>,</span>
+<span>  info_level <span class="op">=</span> <span class="fl">3</span>,</span>
+<span>  <span class="va">...</span></span>
 <span><span class="op">)</span></span></code></pre></div>
     </div>
 
@@ -145,6 +154,25 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 species are set to 1. If this argument is missing, all interactions
 involving a new species are set to 1.</p></dd>
 
+
+<dt id="arg-steady">steady<a class="anchor" aria-label="anchor" href="#arg-steady"></a></dt>
+<dd><p>If <code>TRUE</code> (default), runs <code><a href="steadySingleSpecies.html">steadySingleSpecies()</a></code> to
+initialise the new species at their single-species steady state and
+retuning their reproductive efficiencies. Set to <code>FALSE</code> when the caller
+(e.g. an extension package using <code><a href="https://rdrr.io/r/base/UseMethod.html" class="external-link">NextMethod()</a></code>) needs to make further
+changes to the params object before that steady-state calculation can be
+run successfully.</p></dd>
+
+
+<dt id="arg-info-level">info_level<a class="anchor" aria-label="anchor" href="#arg-info-level"></a></dt>
+<dd><p>Controls the amount of information messages that are shown
+when the function sets default values for parameters. Higher levels lead
+to more messages. Set to 0 to suppress all such messages.</p></dd>
+
+
+<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
+<dd><p>Additional arguments</p></dd>
+
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
diff --git a/docs/reference/age_mat.html b/docs/reference/age_mat.html
index 95e13904d..d837251ec 100644
--- a/docs/reference/age_mat.html
+++ b/docs/reference/age_mat.html
@@ -5,9 +5,9 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Calculate age at maturity — age_mat"><meta name="description" content="Uses the growth rate and the size at maturity to calculate the age at
-maturity"><meta property="og:description" content="Uses the growth rate and the size at maturity to calculate the age at
-maturity"><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Calculate age at maturity — age_mat"><meta name="description" content="Uses the size-dependent growth rate and the size at maturity to calculate
+the age at maturity."><meta property="og:description" content="Uses the size-dependent growth rate and the size at maturity to calculate
+the age at maturity."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
 
 
@@ -15,7 +15,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -36,13 +36,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -52,7 +60,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -76,13 +85,13 @@
     </div>
 
     <div class="ref-description section level2">
-    <p>Uses the growth rate and the size at maturity to calculate the age at
-maturity</p>
+    <p>Uses the size-dependent growth rate and the size at maturity to calculate
+the age at maturity.</p>
     </div>
 
     <div class="section level2">
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">age_mat</span><span class="op">(</span><span class="va">params</span><span class="op">)</span></span></code></pre></div>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">age_mat</span><span class="op">(</span><span class="va">params</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
     </div>
 
     <div class="section level2">
@@ -92,6 +101,10 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 <dl><dt id="arg-params">params<a class="anchor" aria-label="anchor" href="#arg-params"></a></dt>
 <dd><p>A MizerParams object</p></dd>
 
+
+<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
+<dd><p>Additional arguments</p></dd>
+
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
@@ -101,7 +114,9 @@ <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
     <p>Using that by definition of the growth rate \(g(w) = dw/dt\) we have that
-$$\mathrm{age_{mat}} = \int_0^{w_{mat}.}\frac{dw}{g(w)}$$</p>
+$$\mathrm{age_{mat}} = \int_0^{w_{mat}.}\frac{dw}{g(w)}$$
+In the implementation this integral is approximated on the model size grid by
+summing <code>dw / g(w)</code> over all size bins with <code>w &lt; w_mat</code>.</p>
     </div>
 
     <div class="section level2">
diff --git a/docs/reference/age_mat_vB.MizerParams.html b/docs/reference/age_mat_vB.MizerParams.html
new file mode 100644
index 000000000..dc0a48b4c
--- /dev/null
+++ b/docs/reference/age_mat_vB.MizerParams.html
@@ -0,0 +1,8 @@
+<html>
+  <head>
+    <meta http-equiv="refresh" content="0;URL=https://sizespectrum.org/mizer/reference/age_mat_vB.html" />
+    <meta name="robots" content="noindex">
+    <link rel="canonical" href="https://sizespectrum.org/mizer/reference/age_mat_vB.html">
+  </head>
+</html>
+
diff --git a/docs/reference/age_mat_vB.data.frame.html b/docs/reference/age_mat_vB.data.frame.html
new file mode 100644
index 000000000..dc0a48b4c
--- /dev/null
+++ b/docs/reference/age_mat_vB.data.frame.html
@@ -0,0 +1,8 @@
+<html>
+  <head>
+    <meta http-equiv="refresh" content="0;URL=https://sizespectrum.org/mizer/reference/age_mat_vB.html" />
+    <meta name="robots" content="noindex">
+    <link rel="canonical" href="https://sizespectrum.org/mizer/reference/age_mat_vB.html">
+  </head>
+</html>
+
diff --git a/docs/reference/age_mat_vB.default.html b/docs/reference/age_mat_vB.default.html
new file mode 100644
index 000000000..dc0a48b4c
--- /dev/null
+++ b/docs/reference/age_mat_vB.default.html
@@ -0,0 +1,8 @@
+<html>
+  <head>
+    <meta http-equiv="refresh" content="0;URL=https://sizespectrum.org/mizer/reference/age_mat_vB.html" />
+    <meta name="robots" content="noindex">
+    <link rel="canonical" href="https://sizespectrum.org/mizer/reference/age_mat_vB.html">
+  </head>
+</html>
+
diff --git a/docs/reference/age_mat_vB.html b/docs/reference/age_mat_vB.html
index 2df265750..26e891b91 100644
--- a/docs/reference/age_mat_vB.html
+++ b/docs/reference/age_mat_vB.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Calculate age at maturity from von Bertalanffy growth parameters — age_mat_vB"><meta name="description" content="This is not a good way to determine the age at maturity because the von
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Calculate age at maturity from von Bertalanffy growth parameters — age_mat_vB"><meta name="description" content="This is not a good way to determine the age at maturity because the von
 Bertalanffy growth curve is not reliable for larvae and juveniles. However
 this was used in previous versions of mizer and is supplied for
 backwards compatibility."><meta property="og:description" content="This is not a good way to determine the age at maturity because the von
@@ -19,7 +19,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -40,13 +40,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -56,7 +64,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -88,7 +97,16 @@
 
     <div class="section level2">
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">age_mat_vB</span><span class="op">(</span><span class="va">object</span><span class="op">)</span></span></code></pre></div>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">age_mat_vB</span><span class="op">(</span><span class="va">object</span>, <span class="va">...</span><span class="op">)</span></span>
+<span></span>
+<span><span class="co"># S3 method for class 'MizerParams'</span></span>
+<span><span class="fu">age_mat_vB</span><span class="op">(</span><span class="va">object</span>, <span class="va">...</span><span class="op">)</span></span>
+<span></span>
+<span><span class="co"># S3 method for class 'data.frame'</span></span>
+<span><span class="fu">age_mat_vB</span><span class="op">(</span><span class="va">object</span>, <span class="va">...</span><span class="op">)</span></span>
+<span></span>
+<span><span class="co"># Default S3 method</span></span>
+<span><span class="fu">age_mat_vB</span><span class="op">(</span><span class="va">object</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
     </div>
 
     <div class="section level2">
@@ -98,6 +116,10 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 <dl><dt id="arg-object">object<a class="anchor" aria-label="anchor" href="#arg-object"></a></dt>
 <dd><p>A MizerParams object or a species_params data frame</p></dd>
 
+
+<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
+<dd><p>Additional arguments</p></dd>
+
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
diff --git a/docs/reference/animateSpectra.html b/docs/reference/animateSpectra.html
index 8d175679e..0c34d31c9 100644
--- a/docs/reference/animateSpectra.html
+++ b/docs/reference/animateSpectra.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Animation of the abundance spectra — animateSpectra"><meta name="description" content=""><meta property="og:description" content=""><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"><!-- dependencies from examples --><script src="libs/htmlwidgets-1.6.4/htmlwidgets.js"></script><script src="libs/plotly-binding-4.11.0/plotly.js"></script><script src="libs/typedarray-0.1/typedarray.min.js"></script><link href="libs/crosstalk-1.2.2/css/crosstalk.min.css" rel="stylesheet"><script src="libs/crosstalk-1.2.2/js/crosstalk.min.js"></script><link href="libs/plotly-htmlwidgets-css-2.11.1/plotly-htmlwidgets.css" rel="stylesheet"><script src="libs/plotly-main-2.11.1/plotly-latest.min.js"></script></head><body>
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Animation of the abundance spectra — animateSpectra"><meta name="description" content=""><meta property="og:description" content=""><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"><!-- dependencies from examples --><script src="libs/htmlwidgets-1.6.4/htmlwidgets.js"></script><script src="libs/plotly-binding-4.12.0/plotly.js"></script><script src="libs/typedarray-0.1/typedarray.min.js"></script><link href="libs/crosstalk-1.2.2/css/crosstalk.min.css" rel="stylesheet"><script src="libs/crosstalk-1.2.2/js/crosstalk.min.js"></script><link href="libs/plotly-htmlwidgets-css-2.25.2/plotly-htmlwidgets.css" rel="stylesheet"><script src="libs/plotly-main-2.25.2/plotly-latest.min.js"></script></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
 
 
@@ -13,7 +13,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -34,13 +34,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -50,7 +58,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -81,13 +90,15 @@
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">animateSpectra</span><span class="op">(</span></span>
 <span>  <span class="va">sim</span>,</span>
-<span>  species <span class="op">=</span> <span class="cn">NULL</span>,</span>
+<span>  <span class="va">species</span>,</span>
 <span>  <span class="va">time_range</span>,</span>
-<span>  wlim <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="cn">NA</span>, <span class="cn">NA</span><span class="op">)</span>,</span>
-<span>  ylim <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="cn">NA</span>, <span class="cn">NA</span><span class="op">)</span>,</span>
-<span>  power <span class="op">=</span> <span class="fl">1</span>,</span>
-<span>  total <span class="op">=</span> <span class="cn">FALSE</span>,</span>
-<span>  resource <span class="op">=</span> <span class="cn">TRUE</span></span>
+<span>  <span class="va">wlim</span>,</span>
+<span>  <span class="va">ylim</span>,</span>
+<span>  <span class="va">power</span>,</span>
+<span>  <span class="va">total</span>,</span>
+<span>  <span class="va">resource</span>,</span>
+<span>  <span class="va">background</span>,</span>
+<span>  <span class="va">...</span></span>
 <span><span class="op">)</span></span></code></pre></div>
     </div>
 
@@ -130,28 +141,42 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 
 <dt id="arg-total">total<a class="anchor" aria-label="anchor" href="#arg-total"></a></dt>
 <dd><p>A boolean value that determines whether the total over all
-species in the system is plotted as well. Default is FALSE.</p></dd>
+species in the system is plotted as an additional trace called <code>"Total"</code>.
+Default is FALSE.</p></dd>
 
 
 <dt id="arg-resource">resource<a class="anchor" aria-label="anchor" href="#arg-resource"></a></dt>
 <dd><p>A boolean value that determines whether resource is included.
+If <code>TRUE</code>, the resource spectrum is plotted as an additional trace called
+<code>"Resource"</code>. Default is TRUE.</p></dd>
+
+
+<dt id="arg-background">background<a class="anchor" aria-label="anchor" href="#arg-background"></a></dt>
+<dd><p>A boolean value that determines whether background species
+are included. Ignored if the model does not contain background species.
 Default is TRUE.</p></dd>
 
+
+<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
+<dd><p>Additional arguments passed to the method.</p></dd>
+
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    <p>A plotly object</p>
+    <p>A plotly object with one animated line trace per plotted group. The
+y-axis title depends on <code>power</code>.</p>
     </div>
     <div class="section level2">
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
     <div class="dont-index"><p>Other plotting functions:
-<code><a href="plot-MizerParams-missing-method.html">plot,MizerParams,missing-method</a></code>,
-<code><a href="plotMizerSim.html">plot,MizerSim,missing-method</a></code>,
+<code><a href="plot.html">plot</a></code>,
 <code><a href="plotBiomass.html">plotBiomass()</a></code>,
 <code><a href="plotDiet.html">plotDiet()</a></code>,
 <code><a href="plotFMort.html">plotFMort()</a></code>,
 <code><a href="plotFeedingLevel.html">plotFeedingLevel()</a></code>,
 <code><a href="plotGrowthCurves.html">plotGrowthCurves()</a></code>,
+<code><a href="plotMizerParams.html">plotMizerParams</a></code>,
+<code><a href="plotMizerSim.html">plotMizerSim</a></code>,
 <code><a href="plotPredMort.html">plotPredMort()</a></code>,
 <code><a href="plotSpectra.html">plotSpectra()</a></code>,
 <code><a href="plotYield.html">plotYield()</a></code>,
@@ -164,7 +189,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
     <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="co"># \donttest{</span></span></span>
 <span class="r-in"><span><span class="fu">animateSpectra</span><span class="op">(</span><span class="va">NS_sim</span>, power <span class="op">=</span> <span class="fl">2</span>, wlim <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">0.1</span>, <span class="cn">NA</span><span class="op">)</span>, time_range <span class="op">=</span> <span class="fl">1997</span><span class="op">:</span><span class="fl">2007</span><span class="op">)</span></span></span>
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class="r-in"><span><span class="co"># }</span></span></span>
 </code></pre></div>
     </div>
   </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
diff --git a/docs/reference/assertExtensionChain.html b/docs/reference/assertExtensionChain.html
new file mode 100644
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+<!DOCTYPE html>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en-GB"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Assert that an object's extension chain is compatible with the session — assertExtensionChain • mizer</title><!-- favicons --><link rel="icon" type="image/png" sizes="96x96" href="../favicon-96x96.png"><link rel="icon" type="”image/svg+xml”" href="../favicon.svg"><link rel="apple-touch-icon" sizes="180x180" href="../apple-touch-icon.png"><link rel="icon" sizes="any" href="../favicon.ico"><link rel="manifest" href="../site.webmanifest"><!-- mathjax math --><script src="https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/tex-mml-chtml.js" integrity="sha256-MASABpB4tYktI2Oitl4t+78w/lyA+D7b/s9GEP0JOGI=" crossorigin="anonymous"></script><script>
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+suffix of the session's registered maximal chain, or (when check_class is
+TRUE) if the object does not inherit from the expected S4 marker class."><meta property="og:description" content="Stops with an informative error if the object's extension chain is not a
+suffix of the session's registered maximal chain, or (when check_class is
+TRUE) if the object does not inherit from the expected S4 marker class."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
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+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Assert that an object's extension chain is compatible with the session</h1>
+      <small class="dont-index">Source: <a href="https://github.com/sizespectrum/mizer/blob/HEAD/R/registerExtensions.R" class="external-link"><code>R/registerExtensions.R</code></a></small>
+      <div class="d-none name"><code>assertExtensionChain.Rd</code></div>
+    </div>
+
+    <div class="ref-description section level2">
+    <p>Stops with an informative error if the object's extension chain is not a
+suffix of the session's registered maximal chain, or (when <code>check_class</code> is
+<code>TRUE</code>) if the object does not inherit from the expected S4 marker class.</p>
+    </div>
+
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">assertExtensionChain</span><span class="op">(</span></span>
+<span>  <span class="va">object</span>,</span>
+<span>  extensions <span class="op">=</span> <span class="fu"><a href="objectExtensions.html">objectExtensions</a></span><span class="op">(</span><span class="va">object</span><span class="op">)</span>,</span>
+<span>  check_class <span class="op">=</span> <span class="cn">TRUE</span></span>
+<span><span class="op">)</span></span></code></pre></div>
+    </div>
+
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-object">object<a class="anchor" aria-label="anchor" href="#arg-object"></a></dt>
+<dd><p>A <code>MizerParams</code> or <code>MizerSim</code> object.</p></dd>
+
+
+<dt id="arg-extensions">extensions<a class="anchor" aria-label="anchor" href="#arg-extensions"></a></dt>
+<dd><p>Named character vector giving the object's extension chain.
+Defaults to <code><a href="objectExtensions.html">objectExtensions()</a></code> applied to <code>object</code>.</p></dd>
+
+
+<dt id="arg-check-class">check_class<a class="anchor" aria-label="anchor" href="#arg-check-class"></a></dt>
+<dd><p>Logical. If <code>TRUE</code> (default), also verify that <code>object</code>
+inherits from the expected S4 marker class.</p></dd>
+
+</dl></div>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p>Invisibly <code>TRUE</code>. Called for its side-effect of stopping on
+incompatibility.</p>
+    </div>
+
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diff --git a/docs/reference/baseMizerClass.html b/docs/reference/baseMizerClass.html
new file mode 100644
index 000000000..7de5700d4
--- /dev/null
+++ b/docs/reference/baseMizerClass.html
@@ -0,0 +1,132 @@
+<!DOCTYPE html>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en-GB"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Strip extension classes from a mizer object — baseMizerClass • mizer</title><!-- favicons --><link rel="icon" type="image/png" sizes="96x96" href="../favicon-96x96.png"><link rel="icon" type="”image/svg+xml”" href="../favicon.svg"><link rel="apple-touch-icon" sizes="180x180" href="../apple-touch-icon.png"><link rel="icon" sizes="any" href="../favicon.ico"><link rel="manifest" href="../site.webmanifest"><!-- mathjax math --><script src="https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/tex-mml-chtml.js" integrity="sha256-MASABpB4tYktI2Oitl4t+78w/lyA+D7b/s9GEP0JOGI=" crossorigin="anonymous"></script><script>
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+removing any S4 extension marker classes. For MizerSim, also strips the
+extension class from the embedded params slot."><meta property="og:description" content="Coerces a MizerParams or MizerSim object back to its plain base class,
+removing any S4 extension marker classes. For MizerSim, also strips the
+extension class from the embedded params slot."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
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+    <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
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+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
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+    <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
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+    <li><a class="dropdown-item" href="../articles/index.html">More articles...</a></li>
+  </ul></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
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+</nav><div class="container template-reference-topic">
+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Strip extension classes from a mizer object</h1>
+      <small class="dont-index">Source: <a href="https://github.com/sizespectrum/mizer/blob/HEAD/R/registerExtensions.R" class="external-link"><code>R/registerExtensions.R</code></a></small>
+      <div class="d-none name"><code>baseMizerClass.Rd</code></div>
+    </div>
+
+    <div class="ref-description section level2">
+    <p>Coerces a <code>MizerParams</code> or <code>MizerSim</code> object back to its plain base class,
+removing any S4 extension marker classes. For <code>MizerSim</code>, also strips the
+extension class from the embedded <code>params</code> slot.</p>
+    </div>
+
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">baseMizerClass</span><span class="op">(</span><span class="va">object</span><span class="op">)</span></span></code></pre></div>
+    </div>
+
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-object">object<a class="anchor" aria-label="anchor" href="#arg-object"></a></dt>
+<dd><p>A <code>MizerParams</code> or <code>MizerSim</code> object.</p></dd>
+
+</dl></div>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p>The same object coerced to <code>MizerParams</code> or <code>MizerSim</code>.</p>
+    </div>
+
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside></div>
+
+
+    <footer><div class="pkgdown-footer-left">
+  <p>Developed by <a href="https://www.york.ac.uk/maths/staff/gustav-delius/" class="external-link">Gustav Delius</a>, Finlay Scott, <a href="http://www.utas.edu.au/profiles/staff/imas/julia-blanchard" class="external-link">Julia Blanchard</a>, <a href="https://ken.haste.dk/" class="external-link">Ken Andersen</a>.</p>
+</div>
+
+<div class="pkgdown-footer-right">
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
+</div>
+
+    </footer></div>
+
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+  </body></html>
+
diff --git a/docs/reference/box_pred_kernel.html b/docs/reference/box_pred_kernel.html
index feaa8d662..38425a472 100644
--- a/docs/reference/box_pred_kernel.html
+++ b/docs/reference/box_pred_kernel.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Box predation kernel — box_pred_kernel"><meta name="description" content="A predation kernel where the predator/prey mass ratio is uniformly
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Box predation kernel — box_pred_kernel"><meta name="description" content="A predation kernel where the predator/prey mass ratio is uniformly
 distributed on an interval."><meta property="og:description" content="A predation kernel where the predator/prey mass ratio is uniformly
 distributed on an interval."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
@@ -15,7 +15,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -36,13 +36,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -52,7 +60,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -110,9 +119,9 @@ <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
     <p>Writing the predator mass as \(w\) and the prey mass as \(w_p\), the
 feeding kernel is 1 if \(w/w_p\) is between <code>ppmr_min</code> and
-<code>ppmr_max</code> and zero otherwise. The parameters need to be given in the
-species parameter dataframe in the columns <code>ppmr_min</code> and
-<code>ppmr_max</code>.</p>
+<code>ppmr_max</code> inclusive and zero otherwise. <code>ppmr_min</code> must be strictly smaller
+than <code>ppmr_max</code>. The parameters need to be given in the species parameter
+dataframe in the columns <code>ppmr_min</code> and <code>ppmr_max</code>.</p>
     </div>
     <div class="section level2">
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
@@ -130,7 +139,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-in"><span><span class="fu"><a href="species_params.html">species_params</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span><span class="op">$</span><span class="va">ppmr_max</span> <span class="op">&lt;-</span> <span class="fl">4000</span></span></span>
 <span class="r-in"><span><span class="fu"><a href="species_params.html">species_params</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span><span class="op">$</span><span class="va">ppmr_min</span> <span class="op">&lt;-</span> <span class="fl">200</span></span></span>
 <span class="r-in"><span><span class="fu"><a href="species_params.html">species_params</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span><span class="op">$</span><span class="va">pred_kernel_type</span> <span class="op">&lt;-</span> <span class="st">"box"</span></span></span>
-<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span><span class="fu"><a href="w.html">w_full</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span>, <span class="fu"><a href="setPredKernel.html">getPredKernel</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span><span class="op">[</span><span class="st">"Cod"</span>, <span class="fl">10</span>, <span class="op">]</span>, type<span class="op">=</span><span class="st">"l"</span>, log<span class="op">=</span><span class="st">"x"</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="fu"><a href="plot.html">plot</a></span><span class="op">(</span><span class="fu"><a href="w.html">w_full</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span>, <span class="fu"><a href="setPredKernel.html">getPredKernel</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span><span class="op">[</span><span class="st">"Cod"</span>, <span class="fl">10</span>, <span class="op">]</span>, type<span class="op">=</span><span class="st">"l"</span>, log<span class="op">=</span><span class="st">"x"</span><span class="op">)</span></span></span>
 <span class="r-plt img"><img src="box_pred_kernel-1.png" alt="" width="700" height="433"></span>
 </code></pre></div>
     </div>
diff --git a/docs/reference/calc_selectivity.html b/docs/reference/calc_selectivity.html
index 06d07d8a6..1876f9770 100644
--- a/docs/reference/calc_selectivity.html
+++ b/docs/reference/calc_selectivity.html
@@ -5,11 +5,19 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Calculate selectivity from gear parameters — calc_selectivity"><meta name="description" content="This function calculates the selectivity for each gear, species and size from
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Calculate selectivity from gear parameters — calc_selectivity"><meta name="description" content="This function calculates the selectivity for each gear, species and size from
 the gear parameters. It is called by setFishing() when the selectivity is
-not set by the user."><meta property="og:description" content="This function calculates the selectivity for each gear, species and size from
+not set by the user. The returned array is initialised to zero, so
+gear-species combinations that are not listed in gear_params(params) remain
+zero. For each listed combination the function named in sel_func is called
+with w = params@w, the corresponding species parameters, and the
+selectivity parameters from the matching row in gear_params(params)."><meta property="og:description" content="This function calculates the selectivity for each gear, species and size from
 the gear parameters. It is called by setFishing() when the selectivity is
-not set by the user."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
+not set by the user. The returned array is initialised to zero, so
+gear-species combinations that are not listed in gear_params(params) remain
+zero. For each listed combination the function named in sel_func is called
+with w = params@w, the corresponding species parameters, and the
+selectivity parameters from the matching row in gear_params(params)."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
 
 
@@ -17,7 +25,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -38,13 +46,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -54,7 +70,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -80,7 +97,11 @@
     <div class="ref-description section level2">
     <p>This function calculates the selectivity for each gear, species and size from
 the gear parameters. It is called by <code><a href="setFishing.html">setFishing()</a></code> when the <code>selectivity</code> is
-not set by the user.</p>
+not set by the user. The returned array is initialised to zero, so
+gear-species combinations that are not listed in <code>gear_params(params)</code> remain
+zero. For each listed combination the function named in <code>sel_func</code> is called
+with <code>w = params@w</code>, the corresponding species parameters, and the
+selectivity parameters from the matching row in <code>gear_params(params)</code>.</p>
     </div>
 
     <div class="section level2">
diff --git a/docs/reference/calibrateBiomass-1.png b/docs/reference/calibrateBiomass-1.png
index 9a296fee3..c23c1726f 100644
Binary files a/docs/reference/calibrateBiomass-1.png and b/docs/reference/calibrateBiomass-1.png differ
diff --git a/docs/reference/calibrateBiomass.html b/docs/reference/calibrateBiomass.html
index 9b0d546d0..d93f13252 100644
--- a/docs/reference/calibrateBiomass.html
+++ b/docs/reference/calibrateBiomass.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Calibrate the model scale to match total observed biomass — calibrateBiomass"><meta name="description" content="
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Calibrate the model scale to match total observed biomass — calibrateBiomass"><meta name="description" content="
 Given a MizerParams object params for which biomass observations are
 available for at least some species via the biomass_observed column in the
 species_params data frame, this function returns an updated MizerParams
@@ -23,7 +23,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -44,13 +44,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -60,7 +68,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -94,7 +103,7 @@
 
     <div class="section level2">
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">calibrateBiomass</span><span class="op">(</span><span class="va">params</span><span class="op">)</span></span></code></pre></div>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">calibrateBiomass</span><span class="op">(</span><span class="va">params</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
     </div>
 
     <div class="section level2">
@@ -104,10 +113,15 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 <dl><dt id="arg-params">params<a class="anchor" aria-label="anchor" href="#arg-params"></a></dt>
 <dd><p>A MizerParams object</p></dd>
 
+
+<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
+<dd><p>Additional arguments passed to the method.</p></dd>
+
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    <p>A MizerParams object</p>
+    <p>A MizerParams object. If no non-missing observed biomass values are
+provided, the original object is returned unchanged.</p>
     </div>
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
@@ -120,7 +134,7 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
 individual species will not match observations yet, with some species
 having biomasses that are too high and others too low. So after this
 function you may want to use <code><a href="matchBiomasses.html">matchBiomasses()</a></code>. This is described in the
-blog post at https://bit.ly/2YqXESV.</p>
+blog post at <a href="https://bit.ly/2YqXESV" class="external-link">https://bit.ly/2YqXESV</a>.</p>
 <p>If you have observations of the yearly yield instead of biomasses, you can
 use <code><a href="calibrateYield.html">calibrateYield()</a></code> instead of this function.</p>
     </div>
diff --git a/docs/reference/calibrateNumber.html b/docs/reference/calibrateNumber.html
index 1fcd29a31..b3aa3301f 100644
--- a/docs/reference/calibrateNumber.html
+++ b/docs/reference/calibrateNumber.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Calibrate the model scale to match total observed number — calibrateNumber"><meta name="description" content="
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Calibrate the model scale to match total observed number — calibrateNumber"><meta name="description" content="
 Given a MizerParams object params for which number observations are
 available for at least some species via the number_observed column in the
 species_params data frame, this function returns an updated MizerParams
@@ -23,7 +23,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -44,13 +44,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -60,7 +68,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -94,7 +103,7 @@
 
     <div class="section level2">
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">calibrateNumber</span><span class="op">(</span><span class="va">params</span><span class="op">)</span></span></code></pre></div>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">calibrateNumber</span><span class="op">(</span><span class="va">params</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
     </div>
 
     <div class="section level2">
@@ -104,10 +113,15 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 <dl><dt id="arg-params">params<a class="anchor" aria-label="anchor" href="#arg-params"></a></dt>
 <dd><p>A MizerParams object</p></dd>
 
+
+<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
+<dd><p>Additional arguments passed to the method.</p></dd>
+
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    <p>A MizerParams object</p>
+    <p>A MizerParams object. If no non-missing observed number values are
+provided, the original object is returned unchanged.</p>
     </div>
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
@@ -120,7 +134,7 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
 individual species will not match observations yet, with some species
 having numbers that are too high and others too low. So after this
 function you may want to use <code><a href="matchNumbers.html">matchNumbers()</a></code>. This is described in the
-blog post at https://bit.ly/2YqXESV.</p>
+blog post at <a href="https://bit.ly/2YqXESV" class="external-link">https://bit.ly/2YqXESV</a>.</p>
 <p>If you have observations of the yearly yield instead of numbers, you can
 use <code><a href="calibrateYield.html">calibrateYield()</a></code> instead of this function.</p>
     </div>
diff --git a/docs/reference/calibrateYield-1.png b/docs/reference/calibrateYield-1.png
index f7933a0a3..1ef622c8f 100644
Binary files a/docs/reference/calibrateYield-1.png and b/docs/reference/calibrateYield-1.png differ
diff --git a/docs/reference/calibrateYield.html b/docs/reference/calibrateYield.html
index 70e3d415a..b616370aa 100644
--- a/docs/reference/calibrateYield.html
+++ b/docs/reference/calibrateYield.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Calibrate the model scale to match total observed yield — calibrateYield"><meta name="description" content=""><meta property="og:description" content=""><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Calibrate the model scale to match total observed yield — calibrateYield"><meta name="description" content=""><meta property="og:description" content=""><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
 
 
@@ -13,7 +13,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -34,13 +34,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -50,7 +58,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -79,7 +88,7 @@
 
     <div class="section level2">
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">calibrateYield</span><span class="op">(</span><span class="va">params</span><span class="op">)</span></span></code></pre></div>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">calibrateYield</span><span class="op">(</span><span class="va">params</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
     </div>
 
     <div class="section level2">
@@ -89,10 +98,15 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 <dl><dt id="arg-params">params<a class="anchor" aria-label="anchor" href="#arg-params"></a></dt>
 <dd><p>A MizerParams object</p></dd>
 
+
+<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
+<dd><p>Additional arguments passed to the method.</p></dd>
+
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    <p>A MizerParams object</p>
+    <p>A MizerParams object. If no non-missing observed yield values are
+provided, the original object is returned unchanged.</p>
     </div>
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
diff --git a/docs/reference/clearExtensionChain.html b/docs/reference/clearExtensionChain.html
new file mode 100644
index 000000000..6e92722d1
--- /dev/null
+++ b/docs/reference/clearExtensionChain.html
@@ -0,0 +1,133 @@
+<!DOCTYPE html>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en-GB"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Clear the registered extension chain — clearExtensionChain • mizer</title><!-- favicons --><link rel="icon" type="image/png" sizes="96x96" href="../favicon-96x96.png"><link rel="icon" type="”image/svg+xml”" href="../favicon.svg"><link rel="apple-touch-icon" sizes="180x180" href="../apple-touch-icon.png"><link rel="icon" sizes="any" href="../favicon.ico"><link rel="manifest" href="../site.webmanifest"><!-- mathjax math --><script src="https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/tex-mml-chtml.js" integrity="sha256-MASABpB4tYktI2Oitl4t+78w/lyA+D7b/s9GEP0JOGI=" crossorigin="anonymous"></script><script>
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+extension chain with registerExtensions()."><meta property="og:description" content="Clears the session's extension registry. You can then create a new
+extension chain with registerExtensions()."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
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+    <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
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+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Clear the registered extension chain</h1>
+      <small class="dont-index">Source: <a href="https://github.com/sizespectrum/mizer/blob/HEAD/R/registerExtensions.R" class="external-link"><code>R/registerExtensions.R</code></a></small>
+      <div class="d-none name"><code>clearExtensionChain.Rd</code></div>
+    </div>
+
+    <div class="ref-description section level2">
+    <p>Clears the session's extension registry. You can then create a new
+extension chain with <code><a href="registerExtensions.html">registerExtensions()</a></code>.</p>
+    </div>
+
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">clearExtensionChain</span><span class="op">(</span><span class="op">)</span></span></code></pre></div>
+    </div>
+
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p>Invisibly, an empty character vector.</p>
+    </div>
+    <div class="section level2">
+    <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
+    <div class="dont-index"><p>Other extension tools:
+<code><a href="NOther.html">NOther()</a></code>,
+<code><a href="coerceToExtensionClass.html">coerceToExtensionClass()</a></code>,
+<code><a href="getRegisteredExtensions.html">getRegisteredExtensions()</a></code>,
+<code><a href="initialNOther-set.html">initialNOther&lt;-()</a></code>,
+<code><a href="registerExtension.html">registerExtension()</a></code>,
+<code><a href="registerExtensions.html">registerExtensions()</a></code>,
+<code><a href="setComponent.html">setComponent()</a></code>,
+<code><a href="setRateFunction.html">setRateFunction()</a></code></p></div>
+    </div>
+
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diff --git a/docs/reference/coerceToExtensionClass.html b/docs/reference/coerceToExtensionClass.html
new file mode 100644
index 000000000..58ca215ee
--- /dev/null
+++ b/docs/reference/coerceToExtensionClass.html
@@ -0,0 +1,150 @@
+<!DOCTYPE html>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en-GB"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Coerce a mizer object to its registered extension class — coerceToExtensionClass • mizer</title><!-- favicons --><link rel="icon" type="image/png" sizes="96x96" href="../favicon-96x96.png"><link rel="icon" type="”image/svg+xml”" href="../favicon.svg"><link rel="apple-touch-icon" sizes="180x180" href="../apple-touch-icon.png"><link rel="icon" sizes="any" href="../favicon.ico"><link rel="manifest" href="../site.webmanifest"><!-- mathjax math --><script src="https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/tex-mml-chtml.js" integrity="sha256-MASABpB4tYktI2Oitl4t+78w/lyA+D7b/s9GEP0JOGI=" crossorigin="anonymous"></script><script>
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+corresponding to the object's own extension chain. For MizerSim, the
+extension chain is read from sim@params@extensions."><meta property="og:description" content="Coerces a MizerParams or MizerSim object to the S4 marker class
+corresponding to the object's own extension chain. For MizerSim, the
+extension chain is read from sim@params@extensions."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
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+    <li><h6 class="dropdown-header" data-toc-skip>Tutorials</h6></li>
+    <li><a class="dropdown-item" href="../articles/single_species_size-spectrum_dynamics.html">Single-species size-spectrum dynamics</a></li>
+    <li><a class="dropdown-item" href="../articles/community_model.html">The Community Model</a></li>
+    <li><a class="dropdown-item" href="../articles/trait_model.html">The Trait-Based Model</a></li>
+    <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
+    <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
+    <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
+    <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
+    <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
+    <li><hr class="dropdown-divider"></li>
+    <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
+    <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
+    <li><hr class="dropdown-divider"></li>
+    <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
+    <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
+    <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
+    <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
+    <li><a class="dropdown-item" href="../articles/editing_website.html">Editing the Mizer Website</a></li>
+    <li><hr class="dropdown-divider"></li>
+    <li><a class="dropdown-item" href="../articles/index.html">More articles...</a></li>
+  </ul></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
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+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Coerce a mizer object to its registered extension class</h1>
+      <small class="dont-index">Source: <a href="https://github.com/sizespectrum/mizer/blob/HEAD/R/registerExtensions.R" class="external-link"><code>R/registerExtensions.R</code></a></small>
+      <div class="d-none name"><code>coerceToExtensionClass.Rd</code></div>
+    </div>
+
+    <div class="ref-description section level2">
+    <p>Coerces a <code>MizerParams</code> or <code>MizerSim</code> object to the S4 marker class
+corresponding to the object's own extension chain. For <code>MizerSim</code>, the
+extension chain is read from <code>sim@params@extensions</code>.</p>
+    </div>
+
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">coerceToExtensionClass</span><span class="op">(</span><span class="va">object</span>, extensions <span class="op">=</span> <span class="fu"><a href="objectExtensions.html">objectExtensions</a></span><span class="op">(</span><span class="va">object</span><span class="op">)</span><span class="op">)</span></span></code></pre></div>
+    </div>
+
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-object">object<a class="anchor" aria-label="anchor" href="#arg-object"></a></dt>
+<dd><p>A <code>MizerParams</code> or <code>MizerSim</code> object.</p></dd>
+
+
+<dt id="arg-extensions">extensions<a class="anchor" aria-label="anchor" href="#arg-extensions"></a></dt>
+<dd><p>Optional extension chain. Defaults to the chain stored in
+<code>object</code>, or in <code>object@params</code> for <code>MizerSim</code>.</p></dd>
+
+</dl></div>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p>The same object coerced to the appropriate marker class, or to the
+base class for an empty extension chain.</p>
+    </div>
+    <div class="section level2">
+    <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
+    <div class="dont-index"><p>Other extension tools:
+<code><a href="NOther.html">NOther()</a></code>,
+<code><a href="clearExtensionChain.html">clearExtensionChain()</a></code>,
+<code><a href="getRegisteredExtensions.html">getRegisteredExtensions()</a></code>,
+<code><a href="initialNOther-set.html">initialNOther&lt;-()</a></code>,
+<code><a href="registerExtension.html">registerExtension()</a></code>,
+<code><a href="registerExtensions.html">registerExtensions()</a></code>,
+<code><a href="setComponent.html">setComponent()</a></code>,
+<code><a href="setRateFunction.html">setRateFunction()</a></code></p></div>
+    </div>
+
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside></div>
+
+
+    <footer><div class="pkgdown-footer-left">
+  <p>Developed by <a href="https://www.york.ac.uk/maths/staff/gustav-delius/" class="external-link">Gustav Delius</a>, Finlay Scott, <a href="http://www.utas.edu.au/profiles/staff/imas/julia-blanchard" class="external-link">Julia Blanchard</a>, <a href="https://ken.haste.dk/" class="external-link">Ken Andersen</a>.</p>
+</div>
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+<div class="pkgdown-footer-right">
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
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diff --git a/docs/reference/compareExtensionChains.html b/docs/reference/compareExtensionChains.html
new file mode 100644
index 000000000..563245b71
--- /dev/null
+++ b/docs/reference/compareExtensionChains.html
@@ -0,0 +1,131 @@
+<!DOCTYPE html>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en-GB"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Compare two extension chains — compareExtensionChains • mizer</title><!-- favicons --><link rel="icon" type="image/png" sizes="96x96" href="../favicon-96x96.png"><link rel="icon" type="”image/svg+xml”" href="../favicon.svg"><link rel="apple-touch-icon" sizes="180x180" href="../apple-touch-icon.png"><link rel="icon" sizes="any" href="../favicon.ico"><link rel="manifest" href="../site.webmanifest"><!-- mathjax math --><script src="https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/tex-mml-chtml.js" integrity="sha256-MASABpB4tYktI2Oitl4t+78w/lyA+D7b/s9GEP0JOGI=" crossorigin="anonymous"></script><script>
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+    <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
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+    <nav class="navbar navbar-expand-lg fixed-top " aria-label="Site navigation"><div class="container">
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+    <a class="navbar-brand me-2" href="../index.html">mizer</a>
+
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
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+    <div id="navbar" class="collapse navbar-collapse ms-3">
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/mizer.html">Get started</a></li>
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+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/model_description.html">The General Mizer Size-spectrum Model</a></li>
+    <li><hr class="dropdown-divider"></li>
+    <li><h6 class="dropdown-header" data-toc-skip>Tutorials</h6></li>
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+    <li><a class="dropdown-item" href="../articles/trait_model.html">The Trait-Based Model</a></li>
+    <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
+    <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
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+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
+    <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
+    <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
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+    <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
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+    <li><a class="dropdown-item" href="../articles/index.html">More articles...</a></li>
+  </ul></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/sizespectrum/mizer/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
+<li class="nav-item dropdown">
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-lightswitch" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true" aria-label="Light switch"><span class="fa fa-sun"></span></button>
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+      </ul></div>
+
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+  </div>
+</nav><div class="container template-reference-topic">
+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Compare two extension chains</h1>
+      <small class="dont-index">Source: <a href="https://github.com/sizespectrum/mizer/blob/HEAD/R/registerExtensions.R" class="external-link"><code>R/registerExtensions.R</code></a></small>
+      <div class="d-none name"><code>compareExtensionChains.Rd</code></div>
+    </div>
+
+    <div class="ref-description section level2">
+    <p>Compare two extension chains</p>
+    </div>
+
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">compareExtensionChains</span><span class="op">(</span><span class="va">old</span>, <span class="va">new</span><span class="op">)</span></span></code></pre></div>
+    </div>
+
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-old">old<a class="anchor" aria-label="anchor" href="#arg-old"></a></dt>
+<dd><p>Named character vector for the previously registered chain.</p></dd>
+
+
+<dt id="arg-new">new<a class="anchor" aria-label="anchor" href="#arg-new"></a></dt>
+<dd><p>Named character vector for the proposed chain.</p></dd>
+
+</dl></div>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p>One of <code>"identical"</code>, <code>"new_is_suffix"</code>, <code>"old_is_suffix"</code>, or
+<code>"incompatible"</code>.</p>
+    </div>
+
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside></div>
+
+
+    <footer><div class="pkgdown-footer-left">
+  <p>Developed by <a href="https://www.york.ac.uk/maths/staff/gustav-delius/" class="external-link">Gustav Delius</a>, Finlay Scott, <a href="http://www.utas.edu.au/profiles/staff/imas/julia-blanchard" class="external-link">Julia Blanchard</a>, <a href="https://ken.haste.dk/" class="external-link">Ken Andersen</a>.</p>
+</div>
+
+<div class="pkgdown-footer-right">
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
+</div>
+
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+
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+
+
+  </body></html>
+
diff --git a/docs/reference/compareParams.html b/docs/reference/compareParams.html
index f4b218c2b..c331d5556 100644
--- a/docs/reference/compareParams.html
+++ b/docs/reference/compareParams.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Compare two MizerParams objects and print out differences — compareParams"><meta name="description" content=""><meta property="og:description" content=""><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Compare two MizerParams objects and print out differences — compareParams"><meta name="description" content="Compare two MizerParams objects and print out differences"><meta property="og:description" content="Compare two MizerParams objects and print out differences"><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
 
 
@@ -13,7 +13,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -34,13 +34,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -50,7 +58,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -74,12 +83,12 @@
     </div>
 
     <div class="ref-description section level2">
-    <p><a href="https://lifecycle.r-lib.org/articles/stages.html#experimental" class="external-link"><img src="figures/lifecycle-experimental.svg" alt="[Experimental]"></a></p>
+    <p>Compare two MizerParams objects and print out differences</p>
     </div>
 
     <div class="section level2">
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">compareParams</span><span class="op">(</span><span class="va">params1</span>, <span class="va">params2</span><span class="op">)</span></span></code></pre></div>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">compareParams</span><span class="op">(</span><span class="va">params1</span>, <span class="va">params2</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
     </div>
 
     <div class="section level2">
@@ -93,10 +102,16 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 <dt id="arg-params-">params2<a class="anchor" aria-label="anchor" href="#arg-params-"></a></dt>
 <dd><p>Second MizerParams object</p></dd>
 
+
+<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
+<dd><p>Additional arguments passed to the method.</p></dd>
+
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    <p>String describing the differences</p>
+    <p>Invisibly returns a character vector of difference messages, one
+element per difference. As a side effect, prints the differences in a
+human-readable format.</p>
     </div>
 
     <div class="section level2">
@@ -106,10 +121,16 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-in"><span><span class="fu"><a href="species_params.html">species_params</a></span><span class="op">(</span><span class="va">params2</span><span class="op">)</span><span class="op">$</span><span class="va">w_mat</span><span class="op">[</span><span class="fl">1</span><span class="op">]</span> <span class="op">&lt;-</span> <span class="fl">10</span></span></span>
 <span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>For the species Sprat the value for `w_mat25` is not smaller than that of `w_mat`. I have corrected that by setting it to NA.</span>
 <span class="r-in"><span><span class="fu">compareParams</span><span class="op">(</span><span class="va">params1</span>, <span class="va">params2</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [1] "The following species parameters differ: Component “w_mat”: Mean absolute difference: 3, Component “w_mat25”: Mean absolute difference: 2.687875"</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [2] "The time_modified slots do not agree: Mean absolute difference: 61547395"                                                                        </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [3] "The maturity slots do not agree: Mean absolute difference: 0.04497162"                                                                           </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [4] "The psi slots do not agree: Mean absolute difference: 0.06138336"                                                                                </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> The following species parameters differ: Component “w_mat”: Mean absolute difference: 3, Component “w_mat25”: Mean absolute difference: 2.687875</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> The time_modified slots do not agree: Mean absolute difference: 2185874</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> The maturity slots do not agree: Mean absolute difference: 0.04497162</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Max |diff|: Sprat: 0.568</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> The psi slots do not agree: Mean absolute difference: 0.06138336</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Max |diff|: Sprat: 0.403</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
 </code></pre></div>
     </div>
   </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
diff --git a/docs/reference/completeSpeciesParams.html b/docs/reference/completeSpeciesParams.html
index 64f81f914..40c029cef 100644
--- a/docs/reference/completeSpeciesParams.html
+++ b/docs/reference/completeSpeciesParams.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Alias for validSpeciesParams() — completeSpeciesParams"><meta name="description" content="
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Alias for validSpeciesParams() — completeSpeciesParams"><meta name="description" content="
 An alias provided for backward compatibility with mizer version &amp;lt;= 2.5.2"><meta property="og:description" content="
 An alias provided for backward compatibility with mizer version &amp;lt;= 2.5.2"><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
@@ -15,7 +15,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -36,13 +36,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -52,7 +60,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -103,13 +112,13 @@ <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
     <p><code><a href="validSpeciesParams.html">validGivenSpeciesParams()</a></code> checks the validity of the given species
-parameter It throws an error if</p><ul><li><p>the <code>species</code> column does not exist or contains duplicates</p></li>
+parameters. It throws an error if</p><ul><li><p>the <code>species</code> column does not exist or contains duplicates</p></li>
 <li><p>the maximum size is not specified for all species</p></li>
 </ul><p>If a weight-based parameter is missing but the corresponding length-based
 parameter is given, as well as the <code>a</code> and <code>b</code> parameters for length-weight
 conversion, then the weight-based parameters are added. If both length and
-weight are given, then weight is used and a warning is issued if the two are
-inconsistent.</p>
+weight are given, then weight is used and an <code>info_about_default</code> condition
+is signalled if the two are inconsistent.</p>
 <p>If a <code>w_inf</code> column is given but no <code>w_max</code> then the value from <code>w_inf</code> is
 used. This is for backwards compatibility. But note that the von Bertalanffy
 parameter <code>w_inf</code> is not the maximum size of the largest individual, but the
@@ -135,6 +144,10 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
 <li><p><code>interaction_resource</code> is set to <code>1</code></p></li>
 <li><p><code>n</code> is set to <code>3/4</code></p></li>
 <li><p><code>p</code> is set to <code>n</code></p></li>
+<li><p><code>z_ext</code> is set to <code>0</code></p></li>
+<li><p><code>d</code> is set to <code>n - 1</code></p></li>
+<li><p><code>E_ext</code> is set to <code>0</code></p></li>
+<li><p><code>D_ext</code> is set to <code>0</code></p></li>
 </ul><p>Note that the species parameters returned by these functions are not
 guaranteed to produce a viable model. More checks of the parameters are
 performed by the individual rate-setting functions (see <code><a href="setParams.html">setParams()</a></code> for the
diff --git a/docs/reference/constantEggRDI.html b/docs/reference/constantEggRDI.html
index e31a674a7..9f0a77591 100644
--- a/docs/reference/constantEggRDI.html
+++ b/docs/reference/constantEggRDI.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Choose egg production to keep egg density constant — constantEggRDI"><meta name="description" content="
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Choose egg production to keep egg density constant — constantEggRDI"><meta name="description" content="
 The new egg production is set to compensate for the loss of individuals from
 the smallest size class through growth and mortality. The result should not
 be modified by density dependence, so this should be used together with
@@ -21,7 +21,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -42,13 +42,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -58,7 +66,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -131,7 +140,8 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
 <code><a href="RickerRDD.html">RickerRDD()</a></code>,
 <code><a href="SheperdRDD.html">SheperdRDD()</a></code>,
 <code><a href="constantRDD.html">constantRDD()</a></code>,
-<code><a href="noRDD.html">noRDD()</a></code></p></div>
+<code><a href="noRDD.html">noRDD()</a></code>,
+<code><a href="projectRDD.html">projectRDD()</a></code></p></div>
     </div>
 
     <div class="section level2">
diff --git a/docs/reference/constantRDD.html b/docs/reference/constantRDD.html
index 69e541073..f753e5ef9 100644
--- a/docs/reference/constantRDD.html
+++ b/docs/reference/constantRDD.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Give constant reproduction rate — constantRDD"><meta name="description" content="
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Give constant reproduction rate — constantRDD"><meta name="description" content="
 Simply returns the value from species_params$constant_reproduction."><meta property="og:description" content="
 Simply returns the value from species_params$constant_reproduction."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
@@ -15,7 +15,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -36,13 +36,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -52,7 +60,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -114,7 +123,8 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
 <code><a href="RickerRDD.html">RickerRDD()</a></code>,
 <code><a href="SheperdRDD.html">SheperdRDD()</a></code>,
 <code><a href="constantEggRDI.html">constantEggRDI()</a></code>,
-<code><a href="noRDD.html">noRDD()</a></code></p></div>
+<code><a href="noRDD.html">noRDD()</a></code>,
+<code><a href="projectRDD.html">projectRDD()</a></code></p></div>
     </div>
 
   </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
diff --git a/docs/reference/constant_other.html b/docs/reference/constant_other.html
index c0aeba79c..a4275ea54 100644
--- a/docs/reference/constant_other.html
+++ b/docs/reference/constant_other.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Helper function to keep other components constant — constant_other"><meta name="description" content="Helper function to keep other components constant"><meta property="og:description" content="Helper function to keep other components constant"><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Helper function to keep other components constant — constant_other"><meta name="description" content="Helper function to keep other components constant"><meta property="og:description" content="Helper function to keep other components constant"><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
 
 
@@ -13,7 +13,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -34,13 +34,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -50,7 +58,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
diff --git a/docs/reference/customFunction.html b/docs/reference/customFunction.html
index 6d4410844..69ae9f58d 100644
--- a/docs/reference/customFunction.html
+++ b/docs/reference/customFunction.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Replace a mizer function with a custom version — customFunction"><meta name="description" content="
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Replace a mizer function with a custom version — customFunction"><meta name="description" content="
 This function allows you to make arbitrary changes to how mizer works by
 allowing you to replace any mizer function with your own version. You
 should do this only as a last resort, when you find that you can not use
@@ -21,7 +21,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -42,13 +42,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -58,7 +66,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
diff --git a/docs/reference/default_pred_kernel_params.html b/docs/reference/default_pred_kernel_params.html
index 4d30ec9dd..6af184458 100644
--- a/docs/reference/default_pred_kernel_params.html
+++ b/docs/reference/default_pred_kernel_params.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Set defaults for predation kernel parameters — default_pred_kernel_params"><meta name="description" content='If the predation kernel type has not been specified for a species, then it
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Set defaults for predation kernel parameters — default_pred_kernel_params"><meta name="description" content='If the predation kernel type has not been specified for a species, then it
 is set to "lognormal" and the default values are set for the parameters
 beta and sigma.'><meta property="og:description" content='If the predation kernel type has not been specified for a species, then it
 is set to "lognormal" and the default values are set for the parameters
@@ -17,7 +17,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -38,13 +38,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -54,7 +62,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
diff --git a/docs/reference/defaults_edition.html b/docs/reference/defaults_edition.html
index 94daceee0..7421da4aa 100644
--- a/docs/reference/defaults_edition.html
+++ b/docs/reference/defaults_edition.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Default editions — defaults_edition"><meta name="description" content="Function to set and get which edition of default choices is being used."><meta property="og:description" content="Function to set and get which edition of default choices is being used."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Default editions — defaults_edition"><meta name="description" content="Function to set and get which edition of default choices is being used."><meta property="og:description" content="Function to set and get which edition of default choices is being used."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
 
 
@@ -13,7 +13,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -34,13 +34,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -50,7 +58,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -92,7 +101,10 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    <p>The current edition number.</p>
+    <p>If <code>edition</code> is <code>NULL</code>, the currently active edition number. If
+<code>edition</code> is supplied, the function sets the global
+<code>mizer_defaults_edition</code> option, emits a message, and returns the supplied
+value invisibly.</p>
     </div>
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
@@ -108,8 +120,16 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
 desired defaults edition at the top of their code.</p>
 <p>The most recent edition is edition 2. It will become the default in the
 next release. The current default is edition 1. The following defaults
-are changed in edition 2:</p><ul><li><p>catchability = 0.3 instead of 1</p></li>
-<li><p>initial effort = 1 instead of 0</p></li>
+are changed in edition 2:</p><ul><li><p><code>catchability</code> = 0.3 instead of 1</p></li>
+<li><p><code>initial effort</code> = 1 instead of 0</p></li>
+<li><p><code>gamma</code> is set to ensure a feeding level of <code>f0</code> for larvae with the
+current value of <code>interaction_resource</code> instead of
+interaction_resource = 1`.</p></li>
+<li><p><code>initial_n</code> is set using <code><a href="get_steady_state_n.html">get_steady_state_n()</a></code> instead of the rather
+arbitrary old choice.</p></li>
+<li><p>In <code><a href="setReproduction.html">setReproduction()</a></code>, <code>psi</code> is no longer forced to 1 above
+<code>w_repro_max</code>; its value is determined entirely by the maturity ogive
+and the reproductive proportion.</p></li>
 </ul></div>
 
   </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
diff --git a/docs/reference/defineExtensionClasses.html b/docs/reference/defineExtensionClasses.html
new file mode 100644
index 000000000..999195ee0
--- /dev/null
+++ b/docs/reference/defineExtensionClasses.html
@@ -0,0 +1,136 @@
+<!DOCTYPE html>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en-GB"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Define S4 marker classes for a set of dispatch extensions — defineExtensionClasses • mizer</title><!-- favicons --><link rel="icon" type="image/png" sizes="96x96" href="../favicon-96x96.png"><link rel="icon" type="”image/svg+xml”" href="../favicon.svg"><link rel="apple-touch-icon" sizes="180x180" href="../apple-touch-icon.png"><link rel="icon" sizes="any" href="../favicon.ico"><link rel="manifest" href="../site.webmanifest"><!-- mathjax math --><script src="https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/tex-mml-chtml.js" integrity="sha256-MASABpB4tYktI2Oitl4t+78w/lyA+D7b/s9GEP0JOGI=" crossorigin="anonymous"></script><script>
+  window.MathJax = {
+    chtml: {
+      fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
+    }
+  };
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Define S4 marker classes for a set of dispatch extensions — defineExtensionClasses"><meta name="description" content="Creates a linear inheritance chain of S4 classes: the outermost extension
+extends the next, which extends the next, down to the base MizerParams /
+MizerSim class. Existing classes are checked for compatibility instead of
+being redefined."><meta property="og:description" content="Creates a linear inheritance chain of S4 classes: the outermost extension
+extends the next, which extends the next, down to the base MizerParams /
+MizerSim class. Existing classes are checked for compatibility instead of
+being redefined."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
+    <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
+
+
+    <nav class="navbar navbar-expand-lg fixed-top " aria-label="Site navigation"><div class="container">
+
+    <a class="navbar-brand me-2" href="../index.html">mizer</a>
+
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
+
+
+    <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
+      <span class="navbar-toggler-icon"></span>
+    </button>
+
+    <div id="navbar" class="collapse navbar-collapse ms-3">
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/mizer.html">Get started</a></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://mizer.course.sizespectrum.org">Course</a></li>
+<li class="nav-item dropdown">
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/model_description.html">The General Mizer Size-spectrum Model</a></li>
+    <li><hr class="dropdown-divider"></li>
+    <li><h6 class="dropdown-header" data-toc-skip>Tutorials</h6></li>
+    <li><a class="dropdown-item" href="../articles/single_species_size-spectrum_dynamics.html">Single-species size-spectrum dynamics</a></li>
+    <li><a class="dropdown-item" href="../articles/community_model.html">The Community Model</a></li>
+    <li><a class="dropdown-item" href="../articles/trait_model.html">The Trait-Based Model</a></li>
+    <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
+    <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
+    <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
+    <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
+    <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
+    <li><hr class="dropdown-divider"></li>
+    <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
+    <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
+    <li><hr class="dropdown-divider"></li>
+    <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
+    <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
+    <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
+    <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
+    <li><a class="dropdown-item" href="../articles/editing_website.html">Editing the Mizer Website</a></li>
+    <li><hr class="dropdown-divider"></li>
+    <li><a class="dropdown-item" href="../articles/index.html">More articles...</a></li>
+  </ul></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/sizespectrum/mizer/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
+<li class="nav-item dropdown">
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-lightswitch" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true" aria-label="Light switch"><span class="fa fa-sun"></span></button>
+  <ul class="dropdown-menu dropdown-menu-end" aria-labelledby="dropdown-lightswitch"><li><button class="dropdown-item" data-bs-theme-value="light"><span class="fa fa-sun"></span> Light</button></li>
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+    <li><button class="dropdown-item" data-bs-theme-value="auto"><span class="fa fa-adjust"></span> Auto</button></li>
+  </ul></li>
+      </ul></div>
+
+
+  </div>
+</nav><div class="container template-reference-topic">
+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Define S4 marker classes for a set of dispatch extensions</h1>
+      <small class="dont-index">Source: <a href="https://github.com/sizespectrum/mizer/blob/HEAD/R/registerExtensions.R" class="external-link"><code>R/registerExtensions.R</code></a></small>
+      <div class="d-none name"><code>defineExtensionClasses.Rd</code></div>
+    </div>
+
+    <div class="ref-description section level2">
+    <p>Creates a linear inheritance chain of S4 classes: the outermost extension
+extends the next, which extends the next, down to the base <code>MizerParams</code> /
+<code>MizerSim</code> class. Existing classes are checked for compatibility instead of
+being redefined.</p>
+    </div>
+
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">defineExtensionClasses</span><span class="op">(</span><span class="va">extensions</span><span class="op">)</span></span></code></pre></div>
+    </div>
+
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-extensions">extensions<a class="anchor" aria-label="anchor" href="#arg-extensions"></a></dt>
+<dd><p>Named character vector of extensions (full chain or
+dispatch subset). Non-dispatch entries are silently ignored.</p></dd>
+
+</dl></div>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p>Invisibly, the named character vector of dispatch extensions.</p>
+    </div>
+
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside></div>
+
+
+    <footer><div class="pkgdown-footer-left">
+  <p>Developed by <a href="https://www.york.ac.uk/maths/staff/gustav-delius/" class="external-link">Gustav Delius</a>, Finlay Scott, <a href="http://www.utas.edu.au/profiles/staff/imas/julia-blanchard" class="external-link">Julia Blanchard</a>, <a href="https://ken.haste.dk/" class="external-link">Ken Andersen</a>.</p>
+</div>
+
+<div class="pkgdown-footer-right">
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
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+
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+
diff --git a/docs/reference/defineOrCheckClass.html b/docs/reference/defineOrCheckClass.html
new file mode 100644
index 000000000..0923c9818
--- /dev/null
+++ b/docs/reference/defineOrCheckClass.html
@@ -0,0 +1,136 @@
+<!DOCTYPE html>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en-GB"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Define an S4 class or verify it extends the expected parent — defineOrCheckClass • mizer</title><!-- favicons --><link rel="icon" type="image/png" sizes="96x96" href="../favicon-96x96.png"><link rel="icon" type="”image/svg+xml”" href="../favicon.svg"><link rel="apple-touch-icon" sizes="180x180" href="../apple-touch-icon.png"><link rel="icon" sizes="any" href="../favicon.ico"><link rel="manifest" href="../site.webmanifest"><!-- mathjax math --><script src="https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/tex-mml-chtml.js" integrity="sha256-MASABpB4tYktI2Oitl4t+78w/lyA+D7b/s9GEP0JOGI=" crossorigin="anonymous"></script><script>
+  window.MathJax = {
+    chtml: {
+      fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
+    }
+  };
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Define an S4 class or verify it extends the expected parent — defineOrCheckClass"><meta name="description" content="If class does not yet exist, defines it as a virtual-free S4 class that
+contains parent, registered in .GlobalEnv. If class already exists,
+stops with an error unless it already extends parent."><meta property="og:description" content="If class does not yet exist, defines it as a virtual-free S4 class that
+contains parent, registered in .GlobalEnv. If class already exists,
+stops with an error unless it already extends parent."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
+    <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
+
+
+    <nav class="navbar navbar-expand-lg fixed-top " aria-label="Site navigation"><div class="container">
+
+    <a class="navbar-brand me-2" href="../index.html">mizer</a>
+
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
+
+
+    <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
+      <span class="navbar-toggler-icon"></span>
+    </button>
+
+    <div id="navbar" class="collapse navbar-collapse ms-3">
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/mizer.html">Get started</a></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://mizer.course.sizespectrum.org">Course</a></li>
+<li class="nav-item dropdown">
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/model_description.html">The General Mizer Size-spectrum Model</a></li>
+    <li><hr class="dropdown-divider"></li>
+    <li><h6 class="dropdown-header" data-toc-skip>Tutorials</h6></li>
+    <li><a class="dropdown-item" href="../articles/single_species_size-spectrum_dynamics.html">Single-species size-spectrum dynamics</a></li>
+    <li><a class="dropdown-item" href="../articles/community_model.html">The Community Model</a></li>
+    <li><a class="dropdown-item" href="../articles/trait_model.html">The Trait-Based Model</a></li>
+    <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
+    <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
+    <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
+    <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
+    <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
+    <li><hr class="dropdown-divider"></li>
+    <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
+    <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
+    <li><hr class="dropdown-divider"></li>
+    <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
+    <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
+    <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
+    <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
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+    <li><hr class="dropdown-divider"></li>
+    <li><a class="dropdown-item" href="../articles/index.html">More articles...</a></li>
+  </ul></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/sizespectrum/mizer/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
+<li class="nav-item dropdown">
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-lightswitch" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true" aria-label="Light switch"><span class="fa fa-sun"></span></button>
+  <ul class="dropdown-menu dropdown-menu-end" aria-labelledby="dropdown-lightswitch"><li><button class="dropdown-item" data-bs-theme-value="light"><span class="fa fa-sun"></span> Light</button></li>
+    <li><button class="dropdown-item" data-bs-theme-value="dark"><span class="fa fa-moon"></span> Dark</button></li>
+    <li><button class="dropdown-item" data-bs-theme-value="auto"><span class="fa fa-adjust"></span> Auto</button></li>
+  </ul></li>
+      </ul></div>
+
+
+  </div>
+</nav><div class="container template-reference-topic">
+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Define an S4 class or verify it extends the expected parent</h1>
+      <small class="dont-index">Source: <a href="https://github.com/sizespectrum/mizer/blob/HEAD/R/registerExtensions.R" class="external-link"><code>R/registerExtensions.R</code></a></small>
+      <div class="d-none name"><code>defineOrCheckClass.Rd</code></div>
+    </div>
+
+    <div class="ref-description section level2">
+    <p>If <code>class</code> does not yet exist, defines it as a virtual-free S4 class that
+contains <code>parent</code>, registered in <code>.GlobalEnv</code>. If <code>class</code> already exists,
+stops with an error unless it already extends <code>parent</code>.</p>
+    </div>
+
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">defineOrCheckClass</span><span class="op">(</span><span class="va">class</span>, <span class="va">parent</span><span class="op">)</span></span></code></pre></div>
+    </div>
+
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-class">class<a class="anchor" aria-label="anchor" href="#arg-class"></a></dt>
+<dd><p>Character string — the S4 class name to define or check.</p></dd>
+
+
+<dt id="arg-parent">parent<a class="anchor" aria-label="anchor" href="#arg-parent"></a></dt>
+<dd><p>Character string — the required parent class.</p></dd>
+
+</dl></div>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p>Invisibly, <code>class</code>.</p>
+    </div>
+
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside></div>
+
+
+    <footer><div class="pkgdown-footer-left">
+  <p>Developed by <a href="https://www.york.ac.uk/maths/staff/gustav-delius/" class="external-link">Gustav Delius</a>, Finlay Scott, <a href="http://www.utas.edu.au/profiles/staff/imas/julia-blanchard" class="external-link">Julia Blanchard</a>, <a href="https://ken.haste.dk/" class="external-link">Ken Andersen</a>.</p>
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diff --git a/docs/reference/different.html b/docs/reference/different.html
index b83f26632..39585bd93 100644
--- a/docs/reference/different.html
+++ b/docs/reference/different.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Check whether two objects are different — different"><meta name="description" content="Check whether two objects are numerically different, ignoring all attributes."><meta property="og:description" content="Check whether two objects are numerically different, ignoring all attributes."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Check whether two objects are different — different"><meta name="description" content="Check whether two objects are numerically different, ignoring all attributes."><meta property="og:description" content="Check whether two objects are numerically different, ignoring all attributes."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
 
 
@@ -13,7 +13,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -34,13 +34,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -50,7 +58,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
diff --git a/docs/reference/dispatchExtensions.html b/docs/reference/dispatchExtensions.html
new file mode 100644
index 000000000..43c979573
--- /dev/null
+++ b/docs/reference/dispatchExtensions.html
@@ -0,0 +1,130 @@
+<!DOCTYPE html>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en-GB"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Filter an extension vector to those that participate in S3/S4 dispatch — dispatchExtensions • mizer</title><!-- favicons --><link rel="icon" type="image/png" sizes="96x96" href="../favicon-96x96.png"><link rel="icon" type="”image/svg+xml”" href="../favicon.svg"><link rel="apple-touch-icon" sizes="180x180" href="../apple-touch-icon.png"><link rel="icon" sizes="any" href="../favicon.ico"><link rel="manifest" href="../site.webmanifest"><!-- mathjax math --><script src="https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/tex-mml-chtml.js" integrity="sha256-MASABpB4tYktI2Oitl4t+78w/lyA+D7b/s9GEP0JOGI=" crossorigin="anonymous"></script><script>
+  window.MathJax = {
+    chtml: {
+      fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
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+(in-development) or if an S4 class with its name already exists."><meta property="og:description" content="An extension participates in dispatch if its requirement is NA_character_
+(in-development) or if an S4 class with its name already exists."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
+    <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
+
+
+    <nav class="navbar navbar-expand-lg fixed-top " aria-label="Site navigation"><div class="container">
+
+    <a class="navbar-brand me-2" href="../index.html">mizer</a>
+
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
+
+
+    <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
+      <span class="navbar-toggler-icon"></span>
+    </button>
+
+    <div id="navbar" class="collapse navbar-collapse ms-3">
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/mizer.html">Get started</a></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://mizer.course.sizespectrum.org">Course</a></li>
+<li class="nav-item dropdown">
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/model_description.html">The General Mizer Size-spectrum Model</a></li>
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+    <li><h6 class="dropdown-header" data-toc-skip>Tutorials</h6></li>
+    <li><a class="dropdown-item" href="../articles/single_species_size-spectrum_dynamics.html">Single-species size-spectrum dynamics</a></li>
+    <li><a class="dropdown-item" href="../articles/community_model.html">The Community Model</a></li>
+    <li><a class="dropdown-item" href="../articles/trait_model.html">The Trait-Based Model</a></li>
+    <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
+    <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
+    <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
+    <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
+    <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
+    <li><hr class="dropdown-divider"></li>
+    <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
+    <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
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+    <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
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+    <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
+    <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
+    <li><a class="dropdown-item" href="../articles/editing_website.html">Editing the Mizer Website</a></li>
+    <li><hr class="dropdown-divider"></li>
+    <li><a class="dropdown-item" href="../articles/index.html">More articles...</a></li>
+  </ul></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/sizespectrum/mizer/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
+<li class="nav-item dropdown">
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-lightswitch" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true" aria-label="Light switch"><span class="fa fa-sun"></span></button>
+  <ul class="dropdown-menu dropdown-menu-end" aria-labelledby="dropdown-lightswitch"><li><button class="dropdown-item" data-bs-theme-value="light"><span class="fa fa-sun"></span> Light</button></li>
+    <li><button class="dropdown-item" data-bs-theme-value="dark"><span class="fa fa-moon"></span> Dark</button></li>
+    <li><button class="dropdown-item" data-bs-theme-value="auto"><span class="fa fa-adjust"></span> Auto</button></li>
+  </ul></li>
+      </ul></div>
+
+
+  </div>
+</nav><div class="container template-reference-topic">
+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Filter an extension vector to those that participate in S3/S4 dispatch</h1>
+      <small class="dont-index">Source: <a href="https://github.com/sizespectrum/mizer/blob/HEAD/R/registerExtensions.R" class="external-link"><code>R/registerExtensions.R</code></a></small>
+      <div class="d-none name"><code>dispatchExtensions.Rd</code></div>
+    </div>
+
+    <div class="ref-description section level2">
+    <p>An extension participates in dispatch if its requirement is <code>NA_character_</code>
+(in-development) or if an S4 class with its name already exists.</p>
+    </div>
+
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">dispatchExtensions</span><span class="op">(</span><span class="va">extensions</span><span class="op">)</span></span></code></pre></div>
+    </div>
+
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-extensions">extensions<a class="anchor" aria-label="anchor" href="#arg-extensions"></a></dt>
+<dd><p>Named character vector of extensions.</p></dd>
+
+</dl></div>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p>A named character vector containing only the dispatch extensions,
+preserving order.</p>
+    </div>
+
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside></div>
+
+
+    <footer><div class="pkgdown-footer-left">
+  <p>Developed by <a href="https://www.york.ac.uk/maths/staff/gustav-delius/" class="external-link">Gustav Delius</a>, Finlay Scott, <a href="http://www.utas.edu.au/profiles/staff/imas/julia-blanchard" class="external-link">Julia Blanchard</a>, <a href="https://ken.haste.dk/" class="external-link">Ken Andersen</a>.</p>
+</div>
+
+<div class="pkgdown-footer-right">
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
+</div>
+
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+
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+
+
+  </body></html>
+
diff --git a/docs/reference/distanceMaxRelRDI.html b/docs/reference/distanceMaxRelRDI.html
index c2d1c3ef2..19b253a10 100644
--- a/docs/reference/distanceMaxRelRDI.html
+++ b/docs/reference/distanceMaxRelRDI.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Measure distance between current and previous state in terms of RDI — distanceMaxRelRDI"><meta name="description" content="
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Measure distance between current and previous state in terms of RDI — distanceMaxRelRDI"><meta name="description" content="
 This function can be used in projectToSteady() to decide when sufficient
 convergence to steady state has been achieved."><meta property="og:description" content="
 This function can be used in projectToSteady() to decide when sufficient
@@ -17,7 +17,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -38,13 +38,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -54,7 +62,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -109,7 +118,8 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
     <p>The largest absolute relative change in rdi:
-<code>max(abs((current_rdi - previous_rdi) / previous_rdi))</code></p>
+<code>max(abs((current_rdi - previous_rdi) / previous_rdi))</code>. If any entry of
+<code>previous_rdi</code> is zero, the result can be infinite.</p>
     </div>
     <div class="section level2">
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
diff --git a/docs/reference/distanceSSLogN.html b/docs/reference/distanceSSLogN.html
index 9cf6aada5..8ca406aaf 100644
--- a/docs/reference/distanceSSLogN.html
+++ b/docs/reference/distanceSSLogN.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Measure distance between current and previous state in terms of fish abundances — distanceSSLogN"><meta name="description" content="
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Measure distance between current and previous state in terms of fish abundances — distanceSSLogN"><meta name="description" content="
 Calculates the sum squared difference between log(N) in current and previous
 state. This function can be used in projectToSteady() to decide when
 sufficient convergence to steady state has been achieved."><meta property="og:description" content="
@@ -19,7 +19,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -40,13 +40,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -56,7 +64,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -112,7 +121,8 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
     <p>The sum of squares of the difference in the logs of the (nonzero)
-fish abundances n:
+fish abundances <code>n</code>, ignoring entries where either state has zero
+abundance:
 <code>sum((log(current$n) - log(previous$n))^2)</code></p>
     </div>
     <div class="section level2">
diff --git a/docs/reference/dot-checkRateFunctionOutput.html b/docs/reference/dot-checkRateFunctionOutput.html
new file mode 100644
index 000000000..fcc0b0fe2
--- /dev/null
+++ b/docs/reference/dot-checkRateFunctionOutput.html
@@ -0,0 +1,141 @@
+<!DOCTYPE html>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en-GB"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Check that a rate function returns the correct output dimensions — .checkRateFunctionOutput • mizer</title><!-- favicons --><link rel="icon" type="image/png" sizes="96x96" href="../favicon-96x96.png"><link rel="icon" type="”image/svg+xml”" href="../favicon.svg"><link rel="apple-touch-icon" sizes="180x180" href="../apple-touch-icon.png"><link rel="icon" sizes="any" href="../favicon.ico"><link rel="manifest" href="../site.webmanifest"><!-- mathjax math --><script src="https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/tex-mml-chtml.js" integrity="sha256-MASABpB4tYktI2Oitl4t+78w/lyA+D7b/s9GEP0JOGI=" crossorigin="anonymous"></script><script>
+  window.MathJax = {
+    chtml: {
+      fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
+    }
+  };
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Check that a rate function returns the correct output dimensions — .checkRateFunctionOutput"><meta name="description" content="Called by setRateFunction() to verify that a candidate rate function
+returns an array (or vector/list) of the correct dimensions for the
+requested rate."><meta property="og:description" content="Called by setRateFunction() to verify that a candidate rate function
+returns an array (or vector/list) of the correct dimensions for the
+requested rate."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
+    <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
+
+
+    <nav class="navbar navbar-expand-lg fixed-top " aria-label="Site navigation"><div class="container">
+
+    <a class="navbar-brand me-2" href="../index.html">mizer</a>
+
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
+
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+<li class="nav-item"><a class="external-link nav-link" href="https://mizer.course.sizespectrum.org">Course</a></li>
+<li class="nav-item dropdown">
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/model_description.html">The General Mizer Size-spectrum Model</a></li>
+    <li><hr class="dropdown-divider"></li>
+    <li><h6 class="dropdown-header" data-toc-skip>Tutorials</h6></li>
+    <li><a class="dropdown-item" href="../articles/single_species_size-spectrum_dynamics.html">Single-species size-spectrum dynamics</a></li>
+    <li><a class="dropdown-item" href="../articles/community_model.html">The Community Model</a></li>
+    <li><a class="dropdown-item" href="../articles/trait_model.html">The Trait-Based Model</a></li>
+    <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
+    <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
+    <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
+    <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
+    <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
+    <li><hr class="dropdown-divider"></li>
+    <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
+    <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
+    <li><hr class="dropdown-divider"></li>
+    <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
+    <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
+    <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
+    <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
+    <li><a class="dropdown-item" href="../articles/editing_website.html">Editing the Mizer Website</a></li>
+    <li><hr class="dropdown-divider"></li>
+    <li><a class="dropdown-item" href="../articles/index.html">More articles...</a></li>
+  </ul></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/sizespectrum/mizer/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
+<li class="nav-item dropdown">
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-lightswitch" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true" aria-label="Light switch"><span class="fa fa-sun"></span></button>
+  <ul class="dropdown-menu dropdown-menu-end" aria-labelledby="dropdown-lightswitch"><li><button class="dropdown-item" data-bs-theme-value="light"><span class="fa fa-sun"></span> Light</button></li>
+    <li><button class="dropdown-item" data-bs-theme-value="dark"><span class="fa fa-moon"></span> Dark</button></li>
+    <li><button class="dropdown-item" data-bs-theme-value="auto"><span class="fa fa-adjust"></span> Auto</button></li>
+  </ul></li>
+      </ul></div>
+
+
+  </div>
+</nav><div class="container template-reference-topic">
+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Check that a rate function returns the correct output dimensions</h1>
+      <small class="dont-index">Source: <a href="https://github.com/sizespectrum/mizer/blob/HEAD/R/extension.R" class="external-link"><code>R/extension.R</code></a></small>
+      <div class="d-none name"><code>dot-checkRateFunctionOutput.Rd</code></div>
+    </div>
+
+    <div class="ref-description section level2">
+    <p>Called by <code><a href="setRateFunction.html">setRateFunction()</a></code> to verify that a candidate rate function
+returns an array (or vector/list) of the correct dimensions for the
+requested rate.</p>
+    </div>
+
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">.checkRateFunctionOutput</span><span class="op">(</span><span class="va">params</span>, <span class="va">rate</span>, <span class="va">fun</span><span class="op">)</span></span></code></pre></div>
+    </div>
+
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-params">params<a class="anchor" aria-label="anchor" href="#arg-params"></a></dt>
+<dd><p>A MizerParams object</p></dd>
+
+
+<dt id="arg-rate">rate<a class="anchor" aria-label="anchor" href="#arg-rate"></a></dt>
+<dd><p>Name of the rate being replaced, e.g. <code>"Encounter"</code>.</p></dd>
+
+
+<dt id="arg-fun">fun<a class="anchor" aria-label="anchor" href="#arg-fun"></a></dt>
+<dd><p>Name of the candidate function to validate.</p></dd>
+
+</dl></div>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p>Invisibly <code>NULL</code>. Called for its side-effect of stopping with an
+informative error if the output has the wrong shape.</p>
+    </div>
+
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside></div>
+
+
+    <footer><div class="pkgdown-footer-left">
+  <p>Developed by <a href="https://www.york.ac.uk/maths/staff/gustav-delius/" class="external-link">Gustav Delius</a>, Finlay Scott, <a href="http://www.utas.edu.au/profiles/staff/imas/julia-blanchard" class="external-link">Julia Blanchard</a>, <a href="https://ken.haste.dk/" class="external-link">Ken Andersen</a>.</p>
+</div>
+
+<div class="pkgdown-footer-right">
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
+</div>
+
+    </footer></div>
+
+
+
+
+
+  </body></html>
+
diff --git a/docs/reference/double_sigmoid_length.html b/docs/reference/double_sigmoid_length.html
index 877c81c69..582f7f6db 100644
--- a/docs/reference/double_sigmoid_length.html
+++ b/docs/reference/double_sigmoid_length.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Length based double-sigmoid selectivity function — double_sigmoid_length"><meta name="description" content="A hump-shaped selectivity function with a sigmoidal rise and an independent
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Length based double-sigmoid selectivity function — double_sigmoid_length"><meta name="description" content="A hump-shaped selectivity function with a sigmoidal rise and an independent
 sigmoidal drop-off. This drop-off is what distinguishes this from the
 function sigmoid_length() and it is intended to model the escape of large
 individuals from the fishing gear."><meta property="og:description" content="A hump-shaped selectivity function with a sigmoidal rise and an independent
@@ -19,7 +19,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -40,13 +40,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -56,7 +64,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -126,7 +135,8 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    <p>Vector of selectivities at the given sizes.</p>
+    <p>Vector of selectivities at the given sizes.
+Requires <code>l25 &lt; l50 &lt; l50_right &lt; l25_right</code>.</p>
     </div>
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
diff --git a/docs/reference/emptyParams.html b/docs/reference/emptyParams.html
index 8b4cff58a..7fe12e379 100644
--- a/docs/reference/emptyParams.html
+++ b/docs/reference/emptyParams.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Create empty MizerParams object of the right size — emptyParams"><meta name="description" content="An internal function.
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Create empty MizerParams object of the right size — emptyParams"><meta name="description" content="An internal function.
 Sets up a valid MizerParams object with all the slots
 initialised and given dimension names, but with some slots left empty. This
 function is to be used by other functions to set up full parameter objects."><meta property="og:description" content="An internal function.
@@ -19,7 +19,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -40,13 +40,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -56,7 +64,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
diff --git a/docs/reference/ensureExtensionNamespaces.html b/docs/reference/ensureExtensionNamespaces.html
new file mode 100644
index 000000000..004b696a1
--- /dev/null
+++ b/docs/reference/ensureExtensionNamespaces.html
@@ -0,0 +1,137 @@
+<!DOCTYPE html>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en-GB"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Load (and optionally install) namespaces for all non-NA extensions — ensureExtensionNamespaces • mizer</title><!-- favicons --><link rel="icon" type="image/png" sizes="96x96" href="../favicon-96x96.png"><link rel="icon" type="”image/svg+xml”" href="../favicon.svg"><link rel="apple-touch-icon" sizes="180x180" href="../apple-touch-icon.png"><link rel="icon" sizes="any" href="../favicon.ico"><link rel="manifest" href="../site.webmanifest"><!-- mathjax math --><script src="https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/tex-mml-chtml.js" integrity="sha256-MASABpB4tYktI2Oitl4t+78w/lyA+D7b/s9GEP0JOGI=" crossorigin="anonymous"></script><script>
+  window.MathJax = {
+    chtml: {
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+package is installed and up-to-date, installs or upgrades via
+pak::pkg_install() if install = TRUE, then calls loadNamespace()."><meta property="og:description" content="For each extension whose requirement is not NA_character_, checks that the
+package is installed and up-to-date, installs or upgrades via
+pak::pkg_install() if install = TRUE, then calls loadNamespace()."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
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+    <li><h6 class="dropdown-header" data-toc-skip>Tutorials</h6></li>
+    <li><a class="dropdown-item" href="../articles/single_species_size-spectrum_dynamics.html">Single-species size-spectrum dynamics</a></li>
+    <li><a class="dropdown-item" href="../articles/community_model.html">The Community Model</a></li>
+    <li><a class="dropdown-item" href="../articles/trait_model.html">The Trait-Based Model</a></li>
+    <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
+    <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
+    <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
+    <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
+    <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
+    <li><hr class="dropdown-divider"></li>
+    <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
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+    <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
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+    <li><hr class="dropdown-divider"></li>
+    <li><a class="dropdown-item" href="../articles/index.html">More articles...</a></li>
+  </ul></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
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+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
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+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-lightswitch" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true" aria-label="Light switch"><span class="fa fa-sun"></span></button>
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+</nav><div class="container template-reference-topic">
+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Load (and optionally install) namespaces for all non-NA extensions</h1>
+      <small class="dont-index">Source: <a href="https://github.com/sizespectrum/mizer/blob/HEAD/R/registerExtensions.R" class="external-link"><code>R/registerExtensions.R</code></a></small>
+      <div class="d-none name"><code>ensureExtensionNamespaces.Rd</code></div>
+    </div>
+
+    <div class="ref-description section level2">
+    <p>For each extension whose requirement is not <code>NA_character_</code>, checks that the
+package is installed and up-to-date, installs or upgrades via
+<code><a href="https://pak.r-lib.org/reference/pkg_install.html" class="external-link">pak::pkg_install()</a></code> if <code>install = TRUE</code>, then calls <code><a href="https://rdrr.io/r/base/ns-load.html" class="external-link">loadNamespace()</a></code>.</p>
+    </div>
+
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">ensureExtensionNamespaces</span><span class="op">(</span><span class="va">extensions</span>, install <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span></span></code></pre></div>
+    </div>
+
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-extensions">extensions<a class="anchor" aria-label="anchor" href="#arg-extensions"></a></dt>
+<dd><p>Named character vector of extensions.</p></dd>
+
+
+<dt id="arg-install">install<a class="anchor" aria-label="anchor" href="#arg-install"></a></dt>
+<dd><p>Logical. If <code>TRUE</code>, install or upgrade missing/outdated
+packages via <code><a href="https://pak.r-lib.org/reference/pkg_install.html" class="external-link">pak::pkg_install()</a></code>.</p></dd>
+
+</dl></div>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p>Invisibly <code>TRUE</code>.</p>
+    </div>
+
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
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diff --git a/docs/reference/expandSizeGrid.MizerParams.html b/docs/reference/expandSizeGrid.MizerParams.html
new file mode 100644
index 000000000..7c3287aca
--- /dev/null
+++ b/docs/reference/expandSizeGrid.MizerParams.html
@@ -0,0 +1,8 @@
+<html>
+  <head>
+    <meta http-equiv="refresh" content="0;URL=https://sizespectrum.org/mizer/reference/expandSizeGrid.html" />
+    <meta name="robots" content="noindex">
+    <link rel="canonical" href="https://sizespectrum.org/mizer/reference/expandSizeGrid.html">
+  </head>
+</html>
+
diff --git a/docs/reference/expandSizeGrid.html b/docs/reference/expandSizeGrid.html
new file mode 100644
index 000000000..9c40fc2e3
--- /dev/null
+++ b/docs/reference/expandSizeGrid.html
@@ -0,0 +1,159 @@
+<!DOCTYPE html>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en-GB"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Expand the size grid — expandSizeGrid • mizer</title><!-- favicons --><link rel="icon" type="image/png" sizes="96x96" href="../favicon-96x96.png"><link rel="icon" type="”image/svg+xml”" href="../favicon.svg"><link rel="apple-touch-icon" sizes="180x180" href="../apple-touch-icon.png"><link rel="icon" sizes="any" href="../favicon.ico"><link rel="manifest" href="../site.webmanifest"><!-- mathjax math --><script src="https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/tex-mml-chtml.js" integrity="sha256-MASABpB4tYktI2Oitl4t+78w/lyA+D7b/s9GEP0JOGI=" crossorigin="anonymous"></script><script>
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+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Expand the size grid — expandSizeGrid"><meta name="description" content="This function expands the size grid in a MizerParams object to the desired
+min and max size, preserving all existing species."><meta property="og:description" content="This function expands the size grid in a MizerParams object to the desired
+min and max size, preserving all existing species."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
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+    <li><a class="dropdown-item" href="../articles/single_species_size-spectrum_dynamics.html">Single-species size-spectrum dynamics</a></li>
+    <li><a class="dropdown-item" href="../articles/community_model.html">The Community Model</a></li>
+    <li><a class="dropdown-item" href="../articles/trait_model.html">The Trait-Based Model</a></li>
+    <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
+    <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
+    <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
+    <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
+    <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
+    <li><hr class="dropdown-divider"></li>
+    <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
+    <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
+    <li><hr class="dropdown-divider"></li>
+    <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
+    <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
+    <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
+    <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
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+    <li><hr class="dropdown-divider"></li>
+    <li><a class="dropdown-item" href="../articles/index.html">More articles...</a></li>
+  </ul></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
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+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-lightswitch" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true" aria-label="Light switch"><span class="fa fa-sun"></span></button>
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+    <li><button class="dropdown-item" data-bs-theme-value="dark"><span class="fa fa-moon"></span> Dark</button></li>
+    <li><button class="dropdown-item" data-bs-theme-value="auto"><span class="fa fa-adjust"></span> Auto</button></li>
+  </ul></li>
+      </ul></div>
+
+
+  </div>
+</nav><div class="container template-reference-topic">
+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Expand the size grid</h1>
+      <small class="dont-index">Source: <a href="https://github.com/sizespectrum/mizer/blob/HEAD/R/manipulate_species.R" class="external-link"><code>R/manipulate_species.R</code></a></small>
+      <div class="d-none name"><code>expandSizeGrid.Rd</code></div>
+    </div>
+
+    <div class="ref-description section level2">
+    <p>This function expands the size grid in a <a href="MizerParams.html">MizerParams</a> object to the desired
+min and max size, preserving all existing species.</p>
+    </div>
+
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">expandSizeGrid</span><span class="op">(</span><span class="va">params</span>, <span class="va">...</span><span class="op">)</span></span>
+<span></span>
+<span><span class="co"># S3 method for class 'MizerParams'</span></span>
+<span><span class="fu">expandSizeGrid</span><span class="op">(</span></span>
+<span>  <span class="va">params</span>,</span>
+<span>  new_min_w <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/Extremes.html" class="external-link">min</a></span><span class="op">(</span><span class="va">params</span><span class="op">@</span><span class="va">w</span><span class="op">)</span>,</span>
+<span>  new_max_w <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/Extremes.html" class="external-link">max</a></span><span class="op">(</span><span class="va">params</span><span class="op">@</span><span class="va">w</span><span class="op">)</span>,</span>
+<span>  preserve_species <span class="op">=</span> <span class="va">params</span><span class="op">@</span><span class="va">species_params</span><span class="op">$</span><span class="va">species</span>,</span>
+<span>  <span class="va">...</span></span>
+<span><span class="op">)</span></span></code></pre></div>
+    </div>
+
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-params">params<a class="anchor" aria-label="anchor" href="#arg-params"></a></dt>
+<dd><p>A <a href="MizerParams.html">MizerParams</a> object.</p></dd>
+
+
+<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
+<dd><p>Additional arguments (currently unused).</p></dd>
+
+
+<dt id="arg-new-min-w">new_min_w<a class="anchor" aria-label="anchor" href="#arg-new-min-w"></a></dt>
+<dd><p>The new minimum size in the grid. Must not be larger than
+the current minimum size.</p></dd>
+
+
+<dt id="arg-new-max-w">new_max_w<a class="anchor" aria-label="anchor" href="#arg-new-max-w"></a></dt>
+<dd><p>The new maximum size in the grid. Must not be smaller than
+the current maximum size.</p></dd>
+
+
+<dt id="arg-preserve-species">preserve_species<a class="anchor" aria-label="anchor" href="#arg-preserve-species"></a></dt>
+<dd><p>A vector of species names for which all rate arrays
+should be copied over to the new params object rather than being
+re-calculated from the species parameters. If missing, all species are
+preserved.</p></dd>
+
+</dl></div>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p>A new <a href="MizerParams.html">MizerParams</a> object with the updated size grid.</p>
+    </div>
+
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside></div>
+
+
+    <footer><div class="pkgdown-footer-left">
+  <p>Developed by <a href="https://www.york.ac.uk/maths/staff/gustav-delius/" class="external-link">Gustav Delius</a>, Finlay Scott, <a href="http://www.utas.edu.au/profiles/staff/imas/julia-blanchard" class="external-link">Julia Blanchard</a>, <a href="https://ken.haste.dk/" class="external-link">Ken Andersen</a>.</p>
+</div>
+
+<div class="pkgdown-footer-right">
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
+</div>
+
+    </footer></div>
+
+
+
+
+
+  </body></html>
+
diff --git a/docs/reference/ext_diffusion.html b/docs/reference/ext_diffusion.html
new file mode 100644
index 000000000..7b3a9aa68
--- /dev/null
+++ b/docs/reference/ext_diffusion.html
@@ -0,0 +1,8 @@
+<html>
+  <head>
+    <meta http-equiv="refresh" content="0;URL=https://sizespectrum.org/mizer/reference/setExtDiffusion.html" />
+    <meta name="robots" content="noindex">
+    <link rel="canonical" href="https://sizespectrum.org/mizer/reference/setExtDiffusion.html">
+  </head>
+</html>
+
diff --git a/docs/reference/figures/mizer_workflow.png b/docs/reference/figures/mizer_workflow.png
index e65bdb80c..5cdc7ee4a 100644
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diff --git a/docs/reference/figures/size.png b/docs/reference/figures/size.png
index a4fa21cff..bff91efe4 100644
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diff --git a/docs/reference/figures/size_selective_fishing.png b/docs/reference/figures/size_selective_fishing.png
index 5b3dd3b23..57fee04c4 100644
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diff --git a/docs/reference/figures/size_spectrum.png b/docs/reference/figures/size_spectrum.png
index 9c4e415a6..5313ac7ac 100644
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diff --git a/docs/reference/figures/traffic.png b/docs/reference/figures/traffic.png
index 2a1393472..418859022 100644
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diff --git a/docs/reference/figures/traffic_jam.png b/docs/reference/figures/traffic_jam.png
index 872d349ed..607094a0a 100644
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diff --git a/docs/reference/finalN.html b/docs/reference/finalN.html
index 9b085234e..c29984bea 100644
--- a/docs/reference/finalN.html
+++ b/docs/reference/finalN.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Size spectra at end of simulation — finalN"><meta name="description" content="Size spectra at end of simulation"><meta property="og:description" content="Size spectra at end of simulation"><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Size spectra at end of simulation — finalN"><meta name="description" content="Size spectra at end of simulation"><meta property="og:description" content="Size spectra at end of simulation"><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
 
 
@@ -13,7 +13,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -34,13 +34,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
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     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -50,7 +58,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -96,8 +105,8 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    <p>For <code>finalN()</code>: An array (species x size) holding the consumer
-number densities at the end of the simulation</p>
+    <p>For <code>finalN()</code>: An <code>ArraySpeciesBySize</code> object (species x size)
+holding the consumer number densities at the end of the simulation</p>
 <p>For <code>finalNResource()</code>: A vector holding the resource number
 densities at the end of the simulation for all size classes</p>
 <p>For <code>idxFinalT()</code>: An integer giving the index for extracting the
@@ -107,14 +116,191 @@ <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2
     <div class="section level2">
     <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/utils/str.html" class="external-link">str</a></span><span class="op">(</span><span class="fu">finalN</span><span class="op">(</span><span class="va">NS_sim</span><span class="op">)</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  num [1:12, 1:100] 1.53e+13 5.89e+12 1.10e+14 1.37e+13 1.16e+11 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  'ArraySpeciesBySize' num [1:12, 1:100] 1.53e+13 5.89e+12 1.10e+14 1.37e+13 1.16e+11 ...</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>  - attr(*, "dimnames")=List of 2</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   ..$ w : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  - attr(*, "value_name")= chr "Number density"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  - attr(*, "params")=Formal class 'MizerParams' [package "mizer"] with 46 slots</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ metadata               : list()</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ mizer_version          :Classes 'package_version', 'numeric_version'  hidden list of 1</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ : int [1:4] 2 5 4 9123</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ extensions             : chr(0) </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ time_created           : POSIXct[1:1], format: "2021-09-03 20:30:02"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ time_modified          : POSIXct[1:1], format: "2026-04-12 11:31:45"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ w                      : num [1:100] 0.001 0.00119 0.00142 0.0017 0.00203 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ dw                     : num [1:100] 0.000193 0.000231 0.000275 0.000329 0.000392 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ w_full                 : num [1:218] 8.73e-13 1.04e-12 1.24e-12 1.48e-12 1.77e-12 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ dw_full                : num [1:218] 1.69e-13 2.01e-13 2.40e-13 2.87e-13 3.42e-13 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ w_min_idx              : Named num [1:12] 1 1 1 1 1 1 1 1 1 1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "names")= chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ maturity               : num [1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ w : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ psi                    : num [1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ w : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ initial_n              : num [1:12, 1:100] 1.67e+13 5.82e+12 1.19e+14 1.36e+13 1.17e+11 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ w : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ intake_max             : num [1:12, 1:100] 0.145 0.256 0.312 0.284 0.349 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ w : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ search_vol             : num [1:12, 1:100] 4.39e-13 2.94e-13 7.57e-13 1.95e-13 5.89e-13 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ w : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ metab                  : num [1:12, 1:100] 0.0127 0.0233 0.0268 0.0232 0.03 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ w : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ pred_kernel            : logi [1(1d)] NA</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ ft_pred_kernel_e       : cplx [1:12, 1:218] 11.3+0i 26.9+0i 20.8+0i ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ k : chr [1:218] "1" "2" "3" "4" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ ft_pred_kernel_p       : cplx [1:12, 1:218] 11.3+0i 26.9+0i 20.8+0i ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ k : chr [1:218] "1" "2" "3" "4" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ mu_b                   : num [1:12, 1:100] 0.1871 0.1817 0.1293 0.0865 0.0874 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ w : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ ext_encounter          : num [1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ w : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ ext_diffusion          : num [1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ w : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ rr_pp                  : Named num [1:218] 104642 98654 93009 87686 82669 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "names")= chr [1:218] "8.73e-13" "1.04e-12" "1.24e-12" "1.48e-12" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ cc_pp                  : Named num [1:218] 4.88e+35 3.40e+35 2.36e+35 1.64e+35 1.14e+35 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "names")= chr [1:218] "8.73e-13" "1.04e-12" "1.24e-12" "1.48e-12" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ resource_dynamics      : chr "resource_semichemostat"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ resource_params        :List of 5</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ kappa      : num 9.27e+10</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ lambda     : num 2.05</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ r_pp       : num 10</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ n          : num 0.667</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ w_pp_cutoff: num 10</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ other_dynamics         : list()</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ other_params           : list()</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ other_encounter        : list()</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ other_mort             : list()</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ rates_funcs            :List of 14</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ Rates          : chr "mizerRates"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ Encounter      : chr "mizerEncounter"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ FeedingLevel   : chr "mizerFeedingLevel"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ EReproAndGrowth: chr "mizerEReproAndGrowth"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ PredRate       : chr "mizerPredRate"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ PredMort       : chr "mizerPredMort"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ FMort          : chr "mizerFMort"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ Mort           : chr "mizerMort"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ ERepro         : chr "mizerERepro"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ EGrowth        : chr "mizerEGrowth"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ ResourceMort   : chr "mizerResourceMort"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ RDI            : chr "mizerRDI"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ RDD            : chr "BevertonHoltRDD"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ Diffusion      : chr "mizerDiffusion"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ sc                     : num [1:100] 0.001 0.00119 0.00142 0.0017 0.00203 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ initial_n_pp           : Named num [1:218] 4.88e+35 3.40e+35 2.36e+35 1.64e+35 1.14e+35 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "names")= chr [1:218] "8.73e-13" "1.04e-12" "1.24e-12" "1.48e-12" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ initial_n_other        : list()</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ species_params         :'data.frame':	12 obs. of  29 variables:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ species             : chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ w_max               : num [1:12] 33 36 100 334 324 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ w_mat               : int [1:12] 13 4 23 99 21 75 78 39 105 165 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ beta                : int [1:12] 51076 398849 22 280540 191 22 381 283 113 558 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ sigma               : num [1:12] 0.8 1.9 1.5 3.2 1.9 1.5 1.9 1.8 1.6 2.1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ k_vb                : num [1:12] 0.681 1 0.849 0.606 0.536 0.323 0.284 0.266 0.122 0.271 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ R_max               : num [1:12] 7.38e+11 4.10e+11 1.05e+13 1.11e+12 1.12e+10 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ a                   : num [1:12] 0.007 0.001 0.009 0.002 0.01 0.006 0.008 0.004 0.007 0.005 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ b                   : num [1:12] 3.01 3.32 2.94 3.43 2.99 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ w_min               : num [1:12] 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ alpha               : num [1:12] 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ interaction_resource: num [1:12] 1 1 1 1 1 1 1 1 1 1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ n                   : num [1:12] 0.667 0.667 0.667 0.667 0.667 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ p                   : num [1:12] 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ q                   : num [1:12] 0.717 0.717 0.717 0.717 0.717 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ pred_kernel_type    : chr [1:12] "lognormal" "lognormal" "lognormal" "lognormal" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ h                   : num [1:12] 14.5 25.6 31.2 28.4 34.9 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ k                   : num [1:12] 0 0 0 0 0 0 0 0 0 0 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ ks                  : num [1:12] 1.59 2.94 3.37 2.92 3.78 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ z0                  : num [1:12] 0.1871 0.1817 0.1293 0.0865 0.0874 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ gamma               : num [1:12] 6.20e-11 4.16e-11 1.07e-10 2.76e-11 8.31e-11 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ w_mat25             : num [1:12] 11.65 3.58 20.61 88.7 18.82 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ m                   : num [1:12] 1 1 1 1 1 1 1 1 1 1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ erepro              : num [1:12] 1 1 1 1 1 1 1 1 1 1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ w_repro_max         : num [1:12] 33 36 100 334 324 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ is_background       : logi [1:12] FALSE FALSE FALSE FALSE FALSE FALSE ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ z_ext               : num [1:12] 0 0 0 0 0 0 0 0 0 0 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ d                   : num [1:12] -0.333 -0.333 -0.333 -0.333 -0.333 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ E_ext               : num [1:12] 0 0 0 0 0 0 0 0 0 0 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ given_species_params   :'data.frame':	12 obs. of  24 variables:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ species             : chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ w_max               : num [1:12] 33 36 100 334 324 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ w_mat               : int [1:12] 13 4 23 99 21 75 78 39 105 165 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ beta                : int [1:12] 51076 398849 22 280540 191 22 381 283 113 558 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ sigma               : num [1:12] 0.8 1.9 1.5 3.2 1.9 1.5 1.9 1.8 1.6 2.1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ k_vb                : num [1:12] 0.681 1 0.849 0.606 0.536 0.323 0.284 0.266 0.122 0.271 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ R_max               : num [1:12] 7.38e+11 4.10e+11 1.05e+13 1.11e+12 1.12e+10 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ a                   : num [1:12] 0.007 0.001 0.009 0.002 0.01 0.006 0.008 0.004 0.007 0.005 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ b                   : num [1:12] 3.01 3.32 2.94 3.43 2.99 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ w_min               : num [1:12] 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ alpha               : num [1:12] 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ interaction_resource: num [1:12] 1 1 1 1 1 1 1 1 1 1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ n                   : num [1:12] 0.667 0.667 0.667 0.667 0.667 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ p                   : num [1:12] 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ q                   : num [1:12] 0.717 0.717 0.717 0.717 0.717 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ pred_kernel_type    : chr [1:12] "lognormal" "lognormal" "lognormal" "lognormal" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ h                   : num [1:12] 14.5 25.6 31.2 28.4 34.9 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ k                   : num [1:12] 0 0 0 0 0 0 0 0 0 0 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ ks                  : num [1:12] 1.59 2.94 3.37 2.92 3.78 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ z0                  : num [1:12] 0.1871 0.1817 0.1293 0.0865 0.0874 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ gamma               : num [1:12] 6.20e-11 4.16e-11 1.07e-10 2.76e-11 8.31e-11 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ w_mat25             : num [1:12] 11.65 3.58 20.61 88.7 18.82 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ m                   : num [1:12] 1 1 1 1 1 1 1 1 1 1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ erepro              : num [1:12] 1 1 1 1 1 1 1 1 1 1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ interaction            : num [1:12, 1:12] 0.7291 0.0341 0.0635 0.2742 0.3624 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ predator: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ prey    : chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ gear_params            :'data.frame':	12 obs. of  6 variables:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ species     : chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ gear        : chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ sel_func    : chr [1:12] "sigmoid_length" "sigmoid_length" "sigmoid_length" "sigmoid_length" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ l25         : num [1:12] 7.6 9.8 8.7 10.1 11.5 19.8 16.4 19.8 11.5 19.1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ l50         : num [1:12] 8.1 11.8 12.2 20.8 17 29 25.8 29 17 24.3 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ catchability: num [1:12] 1.24 0.886 1.24 0.573 0.124 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ selectivity            : num [1:12, 1:12, 1:100] 5.9e-08 0.0 0.0 0.0 0.0 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 3</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ gear: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp  : chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ w   : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ catchability           : num [1:12, 1:12] 1.24 0 0 0 0 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ gear: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp  : chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ initial_effort         : Named num [1:12] 0 0 0 1.808 0.758 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "names")= chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ A                      : num [1:12] 1 1 1 1 1 1 1 1 1 1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ linecolour             : Named chr [1:17] "#815f00" "#6237e2" "#8da600" "#de53ff" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "names")= chr [1:17] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ linetype               : Named chr [1:17] "solid" "solid" "solid" "solid" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "names")= chr [1:17] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ ft_mask                : logi [1:12, 1:218] TRUE TRUE TRUE TRUE TRUE TRUE ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ use_predation_diffusion: logi FALSE</span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="co"># This could also be obtained using `N()` and `idxFinalT()`</span></span></span>
 <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/identical.html" class="external-link">identical</a></span><span class="op">(</span><span class="fu"><a href="N.html">N</a></span><span class="op">(</span><span class="va">NS_sim</span><span class="op">)</span><span class="op">[</span><span class="fu">idxFinalT</span><span class="op">(</span><span class="va">NS_sim</span><span class="op">)</span>, , <span class="op">]</span>, <span class="fu">finalN</span><span class="op">(</span><span class="va">NS_sim</span><span class="op">)</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [1] TRUE</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [1] FALSE</span>
 <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/utils/str.html" class="external-link">str</a></span><span class="op">(</span><span class="fu">finalNResource</span><span class="op">(</span><span class="va">NS_sim</span><span class="op">)</span><span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>  Named num [1:218] 4.88e+35 3.40e+35 2.36e+35 1.64e+35 1.14e+35 ...</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>  - attr(*, "names")= chr [1:218] "8.73e-13" "1.04e-12" "1.24e-12" "1.48e-12" ...</span>
@@ -129,7 +315,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> [1] 2010</span>
 <span class="r-in"><span><span class="co"># We can use this index to extract the result at the final time</span></span></span>
 <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/identical.html" class="external-link">identical</a></span><span class="op">(</span><span class="fu"><a href="N.html">N</a></span><span class="op">(</span><span class="va">NS_sim</span><span class="op">)</span><span class="op">[</span><span class="va">idx</span>, , <span class="op">]</span>, <span class="fu">finalN</span><span class="op">(</span><span class="va">NS_sim</span><span class="op">)</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [1] TRUE</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [1] FALSE</span>
 <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/identical.html" class="external-link">identical</a></span><span class="op">(</span><span class="fu"><a href="N.html">NResource</a></span><span class="op">(</span><span class="va">NS_sim</span><span class="op">)</span><span class="op">[</span><span class="va">idx</span>, <span class="op">]</span>, <span class="fu">finalNResource</span><span class="op">(</span><span class="va">NS_sim</span><span class="op">)</span><span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> [1] TRUE</span>
 </code></pre></div>
diff --git a/docs/reference/finalNOther.html b/docs/reference/finalNOther.html
index adb312a54..44bee22a6 100644
--- a/docs/reference/finalNOther.html
+++ b/docs/reference/finalNOther.html
@@ -1,118 +1,8 @@
-<!DOCTYPE html>
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-  <main id="main" class="col-md-9"><div class="page-header">
-      <img src="../logo.png" class="logo" alt=""><h1>Values of other ecosystem components at end of simulation</h1>
-      <small class="dont-index">Source: <a href="https://github.com/sizespectrum/mizer/blob/HEAD/R/extension.R" class="external-link"><code>R/extension.R</code></a></small>
-      <div class="d-none name"><code>finalNOther.Rd</code></div>
-    </div>
-
-    <div class="ref-description section level2">
-    <p>Values of other ecosystem components at end of simulation</p>
-    </div>
-
-    <div class="section level2">
-    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">finalNOther</span><span class="op">(</span><span class="va">sim</span><span class="op">)</span></span></code></pre></div>
-    </div>
-
-    <div class="section level2">
-    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-
-
-<dl><dt id="arg-sim">sim<a class="anchor" aria-label="anchor" href="#arg-sim"></a></dt>
-<dd><p>A MizerSim object</p></dd>
-
-</dl></div>
-    <div class="section level2">
-    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    <p>A named list holding the values of other ecosystem components at the
-end of the simulation</p>
-    </div>
-
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diff --git a/docs/reference/formatExtensionChain.html b/docs/reference/formatExtensionChain.html
new file mode 100644
index 000000000..566c31106
--- /dev/null
+++ b/docs/reference/formatExtensionChain.html
@@ -0,0 +1,127 @@
+<!DOCTYPE html>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en-GB"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Format an extension chain as a human-readable string — formatExtensionChain • mizer</title><!-- favicons --><link rel="icon" type="image/png" sizes="96x96" href="../favicon-96x96.png"><link rel="icon" type="”image/svg+xml”" href="../favicon.svg"><link rel="apple-touch-icon" sizes="180x180" href="../apple-touch-icon.png"><link rel="icon" sizes="any" href="../favicon.ico"><link rel="manifest" href="../site.webmanifest"><!-- mathjax math --><script src="https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/tex-mml-chtml.js" integrity="sha256-MASABpB4tYktI2Oitl4t+78w/lyA+D7b/s9GEP0JOGI=" crossorigin="anonymous"></script><script>
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+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Format an extension chain as a human-readable string</h1>
+      <small class="dont-index">Source: <a href="https://github.com/sizespectrum/mizer/blob/HEAD/R/registerExtensions.R" class="external-link"><code>R/registerExtensions.R</code></a></small>
+      <div class="d-none name"><code>formatExtensionChain.Rd</code></div>
+    </div>
+
+    <div class="ref-description section level2">
+    <p>Format an extension chain as a human-readable string</p>
+    </div>
+
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">formatExtensionChain</span><span class="op">(</span><span class="va">extensions</span><span class="op">)</span></span></code></pre></div>
+    </div>
+
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-extensions">extensions<a class="anchor" aria-label="anchor" href="#arg-extensions"></a></dt>
+<dd><p>Named character vector of extensions.</p></dd>
+
+</dl></div>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p>A character string such as <code>"mizerExtB -&gt; mizerExtA"</code>, or
+<code>"&lt;empty&gt;"</code> for a zero-length chain.</p>
+    </div>
+
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside></div>
+
+
+    <footer><div class="pkgdown-footer-left">
+  <p>Developed by <a href="https://www.york.ac.uk/maths/staff/gustav-delius/" class="external-link">Gustav Delius</a>, Finlay Scott, <a href="http://www.utas.edu.au/profiles/staff/imas/julia-blanchard" class="external-link">Julia Blanchard</a>, <a href="https://ken.haste.dk/" class="external-link">Ken Andersen</a>.</p>
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diff --git a/docs/reference/gear_params.html b/docs/reference/gear_params.html
index 93aaa7437..8161cafc9 100644
--- a/docs/reference/gear_params.html
+++ b/docs/reference/gear_params.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Gear parameters — gear_params"><meta name="description" content="These functions allow you to get or set the gear parameters stored in
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Gear parameters — gear_params"><meta name="description" content="These functions allow you to get or set the gear parameters stored in
 a MizerParams object. These are used by setFishing() to set up the
 selectivity and catchability and thus together with the fishing effort
 determine the fishing mortality."><meta property="og:description" content="These functions allow you to get or set the gear parameters stored in
@@ -19,7 +19,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -40,13 +40,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -56,7 +64,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -137,6 +146,7 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
     <div class="dont-index"><p><code><a href="validGearParams.html">validGearParams()</a></code></p>
 <p>Other functions for setting parameters:
+<code><a href="setExtDiffusion.html">setExtDiffusion()</a></code>,
 <code><a href="setExtEncounter.html">setExtEncounter()</a></code>,
 <code><a href="setExtMort.html">setExtMort()</a></code>,
 <code><a href="setFishing.html">setFishing()</a></code>,
@@ -148,7 +158,8 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
 <code><a href="setPredKernel.html">setPredKernel()</a></code>,
 <code><a href="setReproduction.html">setReproduction()</a></code>,
 <code><a href="setSearchVolume.html">setSearchVolume()</a></code>,
-<code><a href="species_params.html">species_params()</a></code></p></div>
+<code><a href="species_params.html">species_params()</a></code>,
+<code><a href="use_predation_diffusion.html">use_predation_diffusion()</a></code></p></div>
     </div>
 
     <div class="section level2">
diff --git a/docs/reference/getBiomass.html b/docs/reference/getBiomass.html
index 8b9e25455..4692a7ee0 100644
--- a/docs/reference/getBiomass.html
+++ b/docs/reference/getBiomass.html
@@ -5,12 +5,16 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Calculate the total biomass of each species within a size range at each time step. — getBiomass"><meta name="description" content="Calculates the total biomass through time within user defined size limits.
-The default option is to use the whole size range. You can specify minimum
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Calculate the total biomass of each species within a size range at each time step. — getBiomass"><meta name="description" content="Calculates the total biomass through time within user defined size limits.
+The default option is to use the size range starting at the size specified
+by the biomass_cutoff species parameter, if it is set, or else the full
+size range of each species. You can specify minimum
 and maximum weight or length range for the species. Lengths take precedence
 over weights (i.e. if both min_l and min_w are supplied, only min_l will be
 used)."><meta property="og:description" content="Calculates the total biomass through time within user defined size limits.
-The default option is to use the whole size range. You can specify minimum
+The default option is to use the size range starting at the size specified
+by the biomass_cutoff species parameter, if it is set, or else the full
+size range of each species. You can specify minimum
 and maximum weight or length range for the species. Lengths take precedence
 over weights (i.e. if both min_l and min_w are supplied, only min_l will be
 used)."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
@@ -21,7 +25,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -42,13 +46,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -58,7 +70,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -83,7 +96,9 @@
 
     <div class="ref-description section level2">
     <p>Calculates the total biomass through time within user defined size limits.
-The default option is to use the whole size range. You can specify minimum
+The default option is to use the size range starting at the size specified
+by the <code>biomass_cutoff</code> species parameter, if it is set, or else the full
+size range of each species. You can specify minimum
 and maximum weight or length range for the species. Lengths take precedence
 over weights (i.e. if both min_l and min_w are supplied, only min_l will be
 used).</p>
@@ -91,7 +106,7 @@
 
     <div class="section level2">
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">getBiomass</span><span class="op">(</span><span class="va">object</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">getBiomass</span><span class="op">(</span><span class="va">object</span>, use_cutoff <span class="op">=</span> <span class="cn">FALSE</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
     </div>
 
     <div class="section level2">
@@ -102,6 +117,13 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 <dd><p>An object of class <code>MizerParams</code> or <code>MizerSim</code>.</p></dd>
 
 
+<dt id="arg-use-cutoff">use_cutoff<a class="anchor" aria-label="anchor" href="#arg-use-cutoff"></a></dt>
+<dd><p>If TRUE, the <code>biomass_cutoff</code> column in the
+species parameters is used as the minimum weight for each species (ignoring any
+size range arguments in <code>...</code>). If FALSE (default), the specified size range
+arguments are used, if provided, or the full size range of the species is used.</p></dd>
+
+
 <dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
 <dd><p>Arguments passed on to <code><a href="get_size_range_array.html">get_size_range_array</a></code></p><dl><dt><code>min_w</code></dt>
 <dd><p>Smallest weight in size range. Defaults to smallest weight in
@@ -125,10 +147,18 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    <p>If called with a MizerParams object, a vector with the biomass in
-grams for each species in the model. If called with a MizerSim object, an
-array (time x species) containing the biomass in grams at each time step
-for all species.</p>
+    <p>If called with a MizerParams object, a named vector with the biomass
+in grams for each species in the model. If called with a MizerSim object,
+an <code>ArraySpeciesByTime</code> object (time x species) containing the biomass in
+grams at each time step for all species.</p>
+    </div>
+    <div class="section level2">
+    <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
+    <p>When no size range arguments are provided, the function checks if the
+<code>biomass_cutoff</code> column exists in the species parameters. If it does,
+those values are used as the minimum weight for each species. For species
+with NA values in <code>biomass_cutoff</code>, the default minimum weight (smallest
+weight in the model) is used.</p>
     </div>
     <div class="section level2">
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
@@ -137,6 +167,8 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
 <code><a href="getGrowthCurves.html">getGrowthCurves()</a></code>,
 <code><a href="getN.html">getN()</a></code>,
 <code><a href="getSSB.html">getSSB()</a></code>,
+<code><a href="getTrophicLevel.html">getTrophicLevel()</a></code>,
+<code><a href="getTrophicLevelBySpecies.html">getTrophicLevelBySpecies()</a></code>,
 <code><a href="getYield.html">getYield()</a></code>,
 <code><a href="getYieldGear.html">getYieldGear()</a></code></p></div>
     </div>
@@ -149,6 +181,13 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-in"><span><span class="va">biomass</span> <span class="op">&lt;-</span> <span class="fu">getBiomass</span><span class="op">(</span><span class="va">NS_sim</span>, min_w <span class="op">=</span> <span class="fl">10</span>, max_w <span class="op">=</span> <span class="fl">1000</span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="va">biomass</span><span class="op">[</span><span class="st">"1972"</span>, <span class="st">"Herring"</span><span class="op">]</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> [1] 154290431041</span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="co"># If species_params contains a `biomass_cutoff`` column, it can be used</span></span></span>
+<span class="r-in"><span><span class="co"># as the minimum weight when use_cutoff = TRUE</span></span></span>
+<span class="r-in"><span><span class="fu"><a href="species_params.html">species_params</a></span><span class="op">(</span><span class="va">NS_sim</span><span class="op">@</span><span class="va">params</span><span class="op">)</span><span class="op">$</span><span class="va">biomass_cutoff</span> <span class="op">&lt;-</span> <span class="fl">10</span></span></span>
+<span class="r-in"><span><span class="va">biomass</span> <span class="op">&lt;-</span> <span class="fu">getBiomass</span><span class="op">(</span><span class="va">NS_sim</span>, use_cutoff <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span>  <span class="co"># Uses biomass_cutoff as min_w</span></span></span>
+<span class="r-in"><span><span class="va">biomass</span><span class="op">[</span><span class="st">"1972"</span>, <span class="st">"Herring"</span><span class="op">]</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 154290431041</span>
 </code></pre></div>
     </div>
   </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
diff --git a/docs/reference/getCommunitySlope.html b/docs/reference/getCommunitySlope.html
index d0d9faaf6..e905b02cc 100644
--- a/docs/reference/getCommunitySlope.html
+++ b/docs/reference/getCommunitySlope.html
@@ -5,15 +5,15 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Calculate the slope of the community abundance — getCommunitySlope"><meta name="description" content="Calculates the slope of the community abundance through time by performing a
-linear regression on the logged total numerical abundance at weight and
-logged weights (natural logs, not log to base 10, are used). You can specify
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Calculate the slope of the community abundance — getCommunitySlope"><meta name="description" content="Calculates the slope of the community abundance by performing a linear
+regression on the logged total numerical abundance at weight and logged
+weights (natural logs, not log to base 10, are used). You can specify
 minimum and maximum weight or length range for the species. Lengths take
 precedence over weights (i.e. if both min_l and min_w are supplied, only
 min_l will be used). You can also specify the species to be used in the
-calculation."><meta property="og:description" content="Calculates the slope of the community abundance through time by performing a
-linear regression on the logged total numerical abundance at weight and
-logged weights (natural logs, not log to base 10, are used). You can specify
+calculation."><meta property="og:description" content="Calculates the slope of the community abundance by performing a linear
+regression on the logged total numerical abundance at weight and logged
+weights (natural logs, not log to base 10, are used). You can specify
 minimum and maximum weight or length range for the species. Lengths take
 precedence over weights (i.e. if both min_l and min_w are supplied, only
 min_l will be used). You can also specify the species to be used in the
@@ -25,7 +25,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -46,13 +46,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -62,7 +70,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -81,14 +90,14 @@
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Calculate the slope of the community abundance</h1>
-      <small class="dont-index">Source: <a href="https://github.com/sizespectrum/mizer/blob/HEAD/R/summary_methods.R" class="external-link"><code>R/summary_methods.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/sizespectrum/mizer/blob/HEAD/R/indicator_functions.R" class="external-link"><code>R/indicator_functions.R</code></a></small>
       <div class="d-none name"><code>getCommunitySlope.Rd</code></div>
     </div>
 
     <div class="ref-description section level2">
-    <p>Calculates the slope of the community abundance through time by performing a
-linear regression on the logged total numerical abundance at weight and
-logged weights (natural logs, not log to base 10, are used). You can specify
+    <p>Calculates the slope of the community abundance by performing a linear
+regression on the logged total numerical abundance at weight and logged
+weights (natural logs, not log to base 10, are used). You can specify
 minimum and maximum weight or length range for the species. Lengths take
 precedence over weights (i.e. if both min_l and min_w are supplied, only
 min_l will be used). You can also specify the species to be used in the
@@ -105,7 +114,7 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 
 
 <dl><dt id="arg-sim">sim<a class="anchor" aria-label="anchor" href="#arg-sim"></a></dt>
-<dd><p>A <a href="MizerSim-class.html">MizerSim</a> object</p></dd>
+<dd><p>A <a href="MizerSim-class.html">MizerSim</a> or <a href="MizerParams-class.html">MizerParams</a> object</p></dd>
 
 
 <dt id="arg-species">species<a class="anchor" aria-label="anchor" href="#arg-species"></a></dt>
@@ -143,8 +152,9 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    <p>A data.frame with four columns: time step, slope, intercept and the
-coefficient of determination R^2.</p>
+    <p>A data.frame with columns slope, intercept and the coefficient of
+determination R^2 (and a time step column when called with a <code>MizerSim</code>
+object).</p>
     </div>
     <div class="section level2">
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
@@ -177,15 +187,19 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span>          slope intercept        r2</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> 1967 -1.526323  30.00691 0.9337066</span>
 <span class="r-in"><span></span></span>
-<span class="r-in"><span><span class="co"># Slope based on biomass, using only demersal species and </span></span></span>
+<span class="r-in"><span><span class="co"># Slope based on biomass, using only demersal species and</span></span></span>
 <span class="r-in"><span><span class="co"># sizes between 10g and 1000g</span></span></span>
 <span class="r-in"><span><span class="va">dem_species</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"Dab"</span>,<span class="st">"Whiting"</span>, <span class="st">"Sole"</span>, <span class="st">"Gurnard"</span>, <span class="st">"Plaice"</span>,</span></span>
 <span class="r-in"><span>                 <span class="st">"Haddock"</span>, <span class="st">"Cod"</span>, <span class="st">"Saithe"</span><span class="op">)</span></span></span>
-<span class="r-in"><span><span class="va">slope_biomass</span> <span class="op">&lt;-</span> <span class="fu">getCommunitySlope</span><span class="op">(</span><span class="va">NS_sim</span>, species <span class="op">=</span> <span class="va">dem_species</span>, </span></span>
+<span class="r-in"><span><span class="va">slope_biomass</span> <span class="op">&lt;-</span> <span class="fu">getCommunitySlope</span><span class="op">(</span><span class="va">NS_sim</span>, species <span class="op">=</span> <span class="va">dem_species</span>,</span></span>
 <span class="r-in"><span>                                   min_w <span class="op">=</span> <span class="fl">10</span>, max_w <span class="op">=</span> <span class="fl">1000</span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="va">slope_biomass</span><span class="op">[</span><span class="fl">1</span>, <span class="op">]</span> <span class="co"># in 1976</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>           slope intercept        r2</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> 1967 -0.9704957  26.69254 0.8095734</span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="fu">getCommunitySlope</span><span class="op">(</span><span class="va">NS_params</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>       slope intercept        r2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 1 -0.782225  25.40779 0.8722251</span>
 </code></pre></div>
     </div>
   </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
diff --git a/docs/reference/getComponent.html b/docs/reference/getComponent.html
index 2ee8b2651..0a25d8601 100644
--- a/docs/reference/getComponent.html
+++ b/docs/reference/getComponent.html
@@ -1,126 +1,8 @@
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-<div class="row">
-  <main id="main" class="col-md-9"><div class="page-header">
-      <img src="../logo.png" class="logo" alt=""><h1>Get information about other ecosystem components</h1>
-      <small class="dont-index">Source: <a href="https://github.com/sizespectrum/mizer/blob/HEAD/R/extension.R" class="external-link"><code>R/extension.R</code></a></small>
-      <div class="d-none name"><code>getComponent.Rd</code></div>
-    </div>
-
-    <div class="ref-description section level2">
-    <p>Get information about other ecosystem components</p>
-    </div>
-
-    <div class="section level2">
-    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">getComponent</span><span class="op">(</span><span class="va">params</span>, <span class="va">component</span><span class="op">)</span></span></code></pre></div>
-    </div>
-
-    <div class="section level2">
-    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-
-
-<dl><dt id="arg-params">params<a class="anchor" aria-label="anchor" href="#arg-params"></a></dt>
-<dd><p>A MizerParams object</p></dd>
-
-
-<dt id="arg-component">component<a class="anchor" aria-label="anchor" href="#arg-component"></a></dt>
-<dd><p>Name of the component of interest. If missing, a list of
-all components will be returned.</p></dd>
-
-</dl></div>
-    <div class="section level2">
-    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    <p>A list with the entries <code>initial_value</code>, <code>dynamics_fun</code>,
-<code>encounter_fun</code>, <code>mort_fun</code>, <code>component_params</code> for the requested
-component. If the requested component does not exist, <code>NULL</code> is returned.
-If no <code>component</code> argument is given, then a list of lists for all
-components is returned.</p>
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+<html>
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diff --git a/docs/reference/getCriticalFeedingLevel.html b/docs/reference/getCriticalFeedingLevel.html
index 5f7c807ea..fb875ec7e 100644
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@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get critical feeding level — getCriticalFeedingLevel"><meta name="description" content="The critical feeding level is the feeding level at which the food intake is
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get critical feeding level — getCriticalFeedingLevel"><meta name="description" content="The critical feeding level is the feeding level at which the food intake is
 just high enough to cover the metabolic costs, with nothing left over for
 growth or reproduction."><meta property="og:description" content="The critical feeding level is the feeding level at which the food intake is
 just high enough to cover the metabolic costs, with nothing left over for
@@ -17,7 +17,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -38,13 +38,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -54,7 +62,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -98,17 +107,201 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    <p>A matrix (species x size) with the critical feeding level</p>
+    <p>An <code>ArraySpeciesBySize</code> object (species x size) with the critical feeding level</p>
     </div>
 
     <div class="section level2">
     <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="co"># \donttest{</span></span></span>
 <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/utils/str.html" class="external-link">str</a></span><span class="op">(</span><span class="fu"><a href="getFeedingLevel.html">getFeedingLevel</a></span><span class="op">(</span><span class="va">NS_params</span><span class="op">)</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  num [1:12, 1:100] 0.622 0.622 0.605 0.621 0.616 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  'ArraySpeciesBySize' num [1:12, 1:100] 0.622 0.622 0.605 0.621 0.616 ...</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>  - attr(*, "dimnames")=List of 2</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   ..$ w : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  - attr(*, "value_name")= chr "Feeding level"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  - attr(*, "params")=Formal class 'MizerParams' [package "mizer"] with 46 slots</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ metadata               : list()</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ mizer_version          :Classes 'package_version', 'numeric_version'  hidden list of 1</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ : int [1:4] 2 5 4 9123</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ extensions             : chr(0) </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ time_created           : POSIXct[1:1], format: "2021-09-03 20:29:38"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ time_modified          : POSIXct[1:1], format: "2026-04-12 11:31:45"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ w                      : num [1:100] 0.001 0.00119 0.00142 0.0017 0.00203 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ dw                     : num [1:100] 0.000193 0.000231 0.000275 0.000329 0.000392 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ w_full                 : num [1:226] 2.12e-13 2.53e-13 3.02e-13 3.61e-13 4.30e-13 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ dw_full                : num [1:226] 4.10e-14 4.90e-14 5.84e-14 6.97e-14 8.32e-14 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ w_min_idx              : Named num [1:12] 1 1 1 1 1 1 1 1 1 1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "names")= chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ maturity               : num [1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ w : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ psi                    : num [1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ w : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ initial_n              : num [1:12, 1:100] 1.84e+13 6.86e+12 1.44e+14 1.45e+13 1.71e+11 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ w : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ intake_max             : num [1:12, 1:100] 0.182 0.275 0.328 0.35 0.307 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ w : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ search_vol             : num [1:12, 1:100] 1.27e-13 6.00e-14 3.44e-13 4.49e-14 1.86e-13 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ w : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ metab                  : num [1:12, 1:100] 0.0289 0.0437 0.0522 0.0557 0.0487 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ w : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ pred_kernel            : logi [1(1d)] NA</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ ft_pred_kernel_e       : cplx [1:12, 1:226] 11.3+0i 26.9+0i 20.8+0i ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ k : chr [1:226] "1" "2" "3" "4" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ ft_pred_kernel_p       : cplx [1:12, 1:226] 11.3+0i 26.9+0i 20.8+0i ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ k : chr [1:226] "1" "2" "3" "4" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ mu_b                   : num [1:12, 1:100] 0.1871 0.1817 0.1293 0.0865 0.0874 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ w : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ ext_encounter          : num [1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ w : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ ext_diffusion          : num [1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ w : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ rr_pp                  : Named num [1:226] 167660 158066 149021 140494 132455 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "names")= chr [1:226] "2.12e-13" "2.53e-13" "3.02e-13" "3.61e-13" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ cc_pp                  : Named num [1:226] 1.09e+38 7.46e+37 5.11e+37 3.51e+37 2.41e+37 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "names")= chr [1:226] "2.12e-13" "2.53e-13" "3.02e-13" "3.61e-13" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ resource_dynamics      : chr "resource_semichemostat"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ resource_params        :List of 5</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ kappa      : num 1e+11</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ lambda     : num 2.13</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ r_pp       : num 10</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ n          : num 0.667</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ w_pp_cutoff: num 9.82</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ other_dynamics         : list()</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ other_params           : list()</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ other_encounter        : list()</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ other_mort             : list()</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ rates_funcs            :List of 14</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ Rates          : chr "mizerRates"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ Encounter      : chr "mizerEncounter"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ FeedingLevel   : chr "mizerFeedingLevel"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ EReproAndGrowth: chr "mizerEReproAndGrowth"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ PredRate       : chr "mizerPredRate"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ PredMort       : chr "mizerPredMort"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ FMort          : chr "mizerFMort"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ Mort           : chr "mizerMort"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ ERepro         : chr "mizerERepro"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ EGrowth        : chr "mizerEGrowth"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ ResourceMort   : chr "mizerResourceMort"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ RDI            : chr "mizerRDI"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ RDD            : chr "BevertonHoltRDD"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ Diffusion      : chr "mizerDiffusion"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ sc                     : num [1:100] 0.001 0.00119 0.00142 0.0017 0.00203 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ initial_n_pp           : Named num [1:226] 1.09e+38 7.46e+37 5.11e+37 3.51e+37 2.41e+37 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "names")= chr [1:226] "2.12e-13" "2.53e-13" "3.02e-13" "3.61e-13" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ initial_n_other        : list()</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ species_params         :'data.frame':	12 obs. of  34 variables:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ species             : chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ w_max               : num [1:12] 33 36 100 334 324 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ w_mat               : int [1:12] 13 4 23 99 21 75 78 39 105 165 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ beta                : int [1:12] 51076 398849 22 280540 191 22 381 283 113 558 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ sigma               : num [1:12] 0.8 1.9 1.5 3.2 1.9 1.5 1.9 1.8 1.6 2.1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ k_vb                : num [1:12] 0.681 1 0.849 0.606 0.536 0.323 0.284 0.266 0.122 0.271 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ gear                : chr [1:12] "Industrial" "Industrial" "Industrial" "Pelagic" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ w_min               : num [1:12] 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ alpha               : num [1:12] 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ pred_kernel_type    : chr [1:12] "lognormal" "lognormal" "lognormal" "lognormal" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ h                   : num [1:12] 18.2 27.5 32.8 35 30.7 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ k                   : num [1:12] 0 0 0 0 0 0 0 0 0 0 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ ks                  : num [1:12] 3.64 5.5 6.57 7.01 6.14 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ z0                  : num [1:12] 0.1871 0.1817 0.1293 0.0865 0.0874 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ gamma               : num [1:12] 3.20e-11 1.51e-11 8.63e-11 1.13e-11 4.67e-11 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ m                   : num [1:12] 1 1 1 1 1 1 1 1 1 1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ erepro              : num [1:12] 1 1 1 1 1 1 1 1 1 1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ R_max               : num [1:12] 7.38e+11 4.10e+11 1.05e+13 1.11e+12 1.12e+10 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ sel_func            : chr [1:12] "knife_edge" "knife_edge" "knife_edge" "knife_edge" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ knife_edge_size     : int [1:12] 13 4 23 99 21 75 78 39 105 165 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ catchability        : num [1:12] 1 1 1 1 1 1 1 1 1 1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ p                   : num [1:12] 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ q                   : num [1:12] 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ n                   : num [1:12] 0.667 0.667 0.667 0.667 0.667 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ f0                  : num [1:12] 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ interaction_resource: num [1:12] 1 1 1 1 1 1 1 1 1 1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ w_inf               : num [1:12] 33 36 100 334 324 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ w_mat25             : num [1:12] 11.65 3.58 20.61 88.7 18.82 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ w_repro_max         : num [1:12] 33 36 100 334 324 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ is_background       : logi [1:12] FALSE FALSE FALSE FALSE FALSE FALSE ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ z_ext               : num [1:12] 0 0 0 0 0 0 0 0 0 0 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ d                   : num [1:12] -0.333 -0.333 -0.333 -0.333 -0.333 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ E_ext               : num [1:12] 0 0 0 0 0 0 0 0 0 0 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ D_ext               : num [1:12] 0 0 0 0 0 0 0 0 0 0 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ given_species_params   :'data.frame':	12 obs. of  27 variables:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ species             : chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ w_max               : num [1:12] 33 36 100 334 324 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ w_mat               : int [1:12] 13 4 23 99 21 75 78 39 105 165 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ beta                : int [1:12] 51076 398849 22 280540 191 22 381 283 113 558 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ sigma               : num [1:12] 0.8 1.9 1.5 3.2 1.9 1.5 1.9 1.8 1.6 2.1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ k_vb                : num [1:12] 0.681 1 0.849 0.606 0.536 0.323 0.284 0.266 0.122 0.271 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ gear                : chr [1:12] "Industrial" "Industrial" "Industrial" "Pelagic" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ w_min               : num [1:12] 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ alpha               : num [1:12] 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ pred_kernel_type    : chr [1:12] "lognormal" "lognormal" "lognormal" "lognormal" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ h                   : num [1:12] 18.2 27.5 32.8 35 30.7 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ k                   : num [1:12] 0 0 0 0 0 0 0 0 0 0 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ ks                  : num [1:12] 3.64 5.5 6.57 7.01 6.14 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ z0                  : num [1:12] 0.1871 0.1817 0.1293 0.0865 0.0874 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ gamma               : num [1:12] 3.20e-11 1.51e-11 8.63e-11 1.13e-11 4.67e-11 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ m                   : num [1:12] 1 1 1 1 1 1 1 1 1 1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ erepro              : num [1:12] 1 1 1 1 1 1 1 1 1 1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ R_max               : num [1:12] 7.38e+11 4.10e+11 1.05e+13 1.11e+12 1.12e+10 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ sel_func            : chr [1:12] "knife_edge" "knife_edge" "knife_edge" "knife_edge" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ knife_edge_size     : int [1:12] 13 4 23 99 21 75 78 39 105 165 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ catchability        : num [1:12] 1 1 1 1 1 1 1 1 1 1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ p                   : num [1:12] 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ q                   : num [1:12] 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ n                   : num [1:12] 0.667 0.667 0.667 0.667 0.667 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ f0                  : num [1:12] 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ interaction_resource: num [1:12] 1 1 1 1 1 1 1 1 1 1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ w_inf               : num [1:12] 33 36 100 334 324 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ interaction            : num [1:12, 1:12] 0.7291 0.0341 0.0635 0.2742 0.3624 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ predator: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ prey    : chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ gear_params            :'data.frame':	12 obs. of  5 variables:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ gear           : chr [1:12] "Industrial" "Industrial" "Industrial" "Pelagic" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ species        : chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ sel_func       : chr [1:12] "knife_edge" "knife_edge" "knife_edge" "knife_edge" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ knife_edge_size: int [1:12] 13 4 23 99 21 75 78 39 105 165 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ catchability   : num [1:12] 1 1 1 1 1 1 1 1 1 1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ selectivity            : num [1:4, 1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 3</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ gear: chr [1:4] "Industrial" "Pelagic" "Beam" "Otter"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp  : chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ w   : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ catchability           : num [1:4, 1:12] 1 0 0 0 1 0 0 0 1 0 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ gear: chr [1:4] "Industrial" "Pelagic" "Beam" "Otter"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp  : chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ initial_effort         : Named num [1:4] 0 1 0.5 0.5</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "names")= chr [1:4] "Industrial" "Pelagic" "Beam" "Otter"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ A                      : num [1:12] 1 1 1 1 1 1 1 1 1 1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ linecolour             : Named chr [1:17] "#815f00" "#6237e2" "#8da600" "#de53ff" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "names")= chr [1:17] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ linetype               : Named chr [1:16] "solid" "solid" "solid" "solid" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "names")= chr [1:16] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ ft_mask                : logi [1:12, 1:226] TRUE TRUE TRUE TRUE TRUE TRUE ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ use_predation_diffusion: logi FALSE</span>
 <span class="r-in"><span><span class="co"># }</span></span></span>
 </code></pre></div>
     </div>
diff --git a/docs/reference/getDiet.html b/docs/reference/getDiet.html
index c88193f8b..8d3055fd0 100644
--- a/docs/reference/getDiet.html
+++ b/docs/reference/getDiet.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get diet of predator at size, resolved by prey species — getDiet"><meta name="description" content="Calculates the rate at which a predator of a particular species and size
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get diet of predator at size, resolved by prey species — getDiet"><meta name="description" content="Calculates the rate at which a predator of a particular species and size
 consumes biomass of each prey species, resource, and other components of the
 ecosystem. Returns either the rates in grams/year or the proportion of the
 total consumption rate."><meta property="og:description" content="Calculates the rate at which a predator of a particular species and size
@@ -19,7 +19,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -40,13 +40,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -56,7 +64,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -160,6 +169,8 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
 <code><a href="getGrowthCurves.html">getGrowthCurves()</a></code>,
 <code><a href="getN.html">getN()</a></code>,
 <code><a href="getSSB.html">getSSB()</a></code>,
+<code><a href="getTrophicLevel.html">getTrophicLevel()</a></code>,
+<code><a href="getTrophicLevelBySpecies.html">getTrophicLevelBySpecies()</a></code>,
 <code><a href="getYield.html">getYield()</a></code>,
 <code><a href="getYieldGear.html">getYieldGear()</a></code></p></div>
     </div>
diff --git a/docs/reference/getDiffusion.html b/docs/reference/getDiffusion.html
new file mode 100644
index 000000000..a1df7e402
--- /dev/null
+++ b/docs/reference/getDiffusion.html
@@ -0,0 +1,189 @@
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+This is the rate at which the abundance density is diffused along the
+size axis due to the variability in prey sizes. This is the diffusion
+term from the jump-growth equation."><meta property="og:description" content="Calculates the diffusion rate \(D_i(w)\) (grams^2/year) for each species.
+This is the rate at which the abundance density is diffused along the
+size axis due to the variability in prey sizes. This is the diffusion
+term from the jump-growth equation."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
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+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Get diffusion rate from predation</h1>
+      <small class="dont-index">Source: <a href="https://github.com/sizespectrum/mizer/blob/HEAD/R/diffusion.R" class="external-link"><code>R/diffusion.R</code></a></small>
+      <div class="d-none name"><code>getDiffusion.Rd</code></div>
+    </div>
+
+    <div class="ref-description section level2">
+    <p>Calculates the diffusion rate \(D_i(w)\) (grams^2/year) for each species.
+This is the rate at which the abundance density is diffused along the
+size axis due to the variability in prey sizes. This is the diffusion
+term from the jump-growth equation.</p>
+    </div>
+
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">getDiffusion</span><span class="op">(</span></span>
+<span>  <span class="va">params</span>,</span>
+<span>  n <span class="op">=</span> <span class="fu"><a href="initialN-set.html">initialN</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span>,</span>
+<span>  n_pp <span class="op">=</span> <span class="fu"><a href="initialNResource-set.html">initialNResource</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span>,</span>
+<span>  n_other <span class="op">=</span> <span class="fu"><a href="initialNOther-set.html">initialNOther</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span>,</span>
+<span>  t <span class="op">=</span> <span class="fl">0</span>,</span>
+<span>  <span class="va">...</span></span>
+<span><span class="op">)</span></span></code></pre></div>
+    </div>
+
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-params">params<a class="anchor" aria-label="anchor" href="#arg-params"></a></dt>
+<dd><p>A MizerParams object</p></dd>
+
+
+<dt id="arg-n">n<a class="anchor" aria-label="anchor" href="#arg-n"></a></dt>
+<dd><p>A matrix of species abundances (species x size). Defaults to the
+initial abundances in <code>params</code>.</p></dd>
+
+
+<dt id="arg-n-pp">n_pp<a class="anchor" aria-label="anchor" href="#arg-n-pp"></a></dt>
+<dd><p>A vector of the resource abundance by size. Defaults to the
+initial resource abundances in <code>params</code>.</p></dd>
+
+
+<dt id="arg-n-other">n_other<a class="anchor" aria-label="anchor" href="#arg-n-other"></a></dt>
+<dd><p>A list of abundances for other dynamical components.</p></dd>
+
+
+<dt id="arg-t">t<a class="anchor" aria-label="anchor" href="#arg-t"></a></dt>
+<dd><p>The time for which to do the calculation.</p></dd>
+
+
+<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
+<dd><p>Unused</p></dd>
+
+</dl></div>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p>An array of dimensions species x size holding the diffusion rates.</p>
+    </div>
+    <div class="section level2">
+    <h2 id="references">References<a class="anchor" aria-label="anchor" href="#references"></a></h2>
+    <p>Datta, S., Delius, G. W. and Law, R. (2010). A jump-growth model for
+predator-prey dynamics: derivation and application to marine ecosystems.
+Bulletin of Mathematical Biology, 72(6):1361–1382</p>
+    </div>
+    <div class="section level2">
+    <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
+    <div class="dont-index"><p>Other rate functions:
+<code><a href="getEGrowth.html">getEGrowth()</a></code>,
+<code><a href="getERepro.html">getERepro()</a></code>,
+<code><a href="getEReproAndGrowth.html">getEReproAndGrowth()</a></code>,
+<code><a href="getEncounter.html">getEncounter()</a></code>,
+<code><a href="getFMort.html">getFMort()</a></code>,
+<code><a href="getFMortGear.html">getFMortGear()</a></code>,
+<code><a href="getFeedingLevel.html">getFeedingLevel()</a></code>,
+<code><a href="getFlux.html">getFlux()</a></code>,
+<code><a href="getMort.html">getMort()</a></code>,
+<code><a href="getPredMort.html">getPredMort()</a></code>,
+<code><a href="getPredRate.html">getPredRate()</a></code>,
+<code><a href="getRDD.html">getRDD()</a></code>,
+<code><a href="getRDI.html">getRDI()</a></code>,
+<code><a href="getRates.html">getRates()</a></code>,
+<code><a href="getResourceMort.html">getResourceMort()</a></code></p></div>
+    </div>
+
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside></div>
+
+
+    <footer><div class="pkgdown-footer-left">
+  <p>Developed by <a href="https://www.york.ac.uk/maths/staff/gustav-delius/" class="external-link">Gustav Delius</a>, Finlay Scott, <a href="http://www.utas.edu.au/profiles/staff/imas/julia-blanchard" class="external-link">Julia Blanchard</a>, <a href="https://ken.haste.dk/" class="external-link">Ken Andersen</a>.</p>
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+
diff --git a/docs/reference/getEGrowth.html b/docs/reference/getEGrowth.html
index 7814ee5b5..ee4f860e0 100644
--- a/docs/reference/getEGrowth.html
+++ b/docs/reference/getEGrowth.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get energy rate available for growth — getEGrowth"><meta name="description" content="Calculates the energy rate \(g_i(w)\) (grams/year) available by species and
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get energy rate available for growth — getEGrowth"><meta name="description" content="Calculates the energy rate \(g_i(w)\) (grams/year) available by species and
 size for growth after metabolism, movement and reproduction have been
 accounted for."><meta property="og:description" content="Calculates the energy rate \(g_i(w)\) (grams/year) available by species and
 size for growth after metabolism, movement and reproduction have been
@@ -17,7 +17,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -38,13 +38,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
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     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
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     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -54,7 +62,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -128,7 +137,15 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    <p>A two dimensional array (prey species x prey size)</p>
+    <p>An <code>ArraySpeciesBySize</code> object (species x size) with the somatic growth rates
+(grams/year).</p>
+    </div>
+    <div class="section level2">
+    <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
+    <p>The growth rate is calculated as the difference between the energy available
+for reproduction and growth (obtainable with <code><a href="getEReproAndGrowth.html">getEReproAndGrowth()</a></code>) and
+the energy used for reproduction (obtainable with <code><a href="getERepro.html">getERepro()</a></code>), but is
+set to 0 if the result would be negative.</p>
     </div>
     <div class="section level2">
     <h2 id="your-own-growth-rate-function">Your own growth rate function<a class="anchor" aria-label="anchor" href="#your-own-growth-rate-function"></a></h2>
@@ -146,12 +163,14 @@ <h2 id="your-own-growth-rate-function">Your own growth rate function<a class="an
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
     <div class="dont-index"><p><code><a href="getERepro.html">getERepro()</a></code>, <code><a href="getEReproAndGrowth.html">getEReproAndGrowth()</a></code></p>
 <p>Other rate functions:
+<code><a href="getDiffusion.html">getDiffusion()</a></code>,
 <code><a href="getERepro.html">getERepro()</a></code>,
 <code><a href="getEReproAndGrowth.html">getEReproAndGrowth()</a></code>,
 <code><a href="getEncounter.html">getEncounter()</a></code>,
 <code><a href="getFMort.html">getFMort()</a></code>,
 <code><a href="getFMortGear.html">getFMortGear()</a></code>,
 <code><a href="getFeedingLevel.html">getFeedingLevel()</a></code>,
+<code><a href="getFlux.html">getFlux()</a></code>,
 <code><a href="getMort.html">getMort()</a></code>,
 <code><a href="getPredMort.html">getPredMort()</a></code>,
 <code><a href="getPredRate.html">getPredRate()</a></code>,
diff --git a/docs/reference/getERepro.html b/docs/reference/getERepro.html
index 0295312a2..f5c0078bc 100644
--- a/docs/reference/getERepro.html
+++ b/docs/reference/getERepro.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get energy rate available for reproduction — getERepro"><meta name="description" content="Calculates the energy rate (grams/year) available for reproduction after
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get energy rate available for reproduction — getERepro"><meta name="description" content="Calculates the energy rate (grams/year) available for reproduction after
 growth and metabolism have been accounted for."><meta property="og:description" content="Calculates the energy rate (grams/year) available for reproduction after
 growth and metabolism have been accounted for."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
@@ -15,7 +15,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -36,13 +36,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -52,7 +60,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -125,13 +134,14 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    <p>A two dimensional array (prey species x prey size) holding
-$$\psi_i(w)E_{r.i}(w)$$
+    <p>An <code>ArraySpeciesBySize</code> object (species x size) holding
+$$\psi_i(w)\max(0, E_{r.i}(w))$$
 where \(E_{r.i}(w)\) is the rate at which energy becomes available for
 growth and reproduction, calculated with <code><a href="getEReproAndGrowth.html">getEReproAndGrowth()</a></code>,
 and \(\psi_i(w)\) is the proportion of this energy that is used for
-reproduction. This proportion is taken from the <code>params</code> object and is
-set with <code><a href="setReproduction.html">setReproduction()</a></code>.</p>
+reproduction. Negative values of \(E_{r.i}(w)\) are clipped to 0 before
+multiplying by \(\psi_i(w)\). This proportion is taken from the <code>params</code>
+object and is set with <code><a href="setReproduction.html">setReproduction()</a></code>.</p>
     </div>
     <div class="section level2">
     <h2 id="your-own-reproduction-rate-function">Your own reproduction rate function<a class="anchor" aria-label="anchor" href="#your-own-reproduction-rate-function"></a></h2>
@@ -148,12 +158,14 @@ <h2 id="your-own-reproduction-rate-function">Your own reproduction rate function
     <div class="section level2">
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
     <div class="dont-index"><p>Other rate functions:
+<code><a href="getDiffusion.html">getDiffusion()</a></code>,
 <code><a href="getEGrowth.html">getEGrowth()</a></code>,
 <code><a href="getEReproAndGrowth.html">getEReproAndGrowth()</a></code>,
 <code><a href="getEncounter.html">getEncounter()</a></code>,
 <code><a href="getFMort.html">getFMort()</a></code>,
 <code><a href="getFMortGear.html">getFMortGear()</a></code>,
 <code><a href="getFeedingLevel.html">getFeedingLevel()</a></code>,
+<code><a href="getFlux.html">getFlux()</a></code>,
 <code><a href="getMort.html">getMort()</a></code>,
 <code><a href="getPredMort.html">getPredMort()</a></code>,
 <code><a href="getPredRate.html">getPredRate()</a></code>,
diff --git a/docs/reference/getEReproAndGrowth.html b/docs/reference/getEReproAndGrowth.html
index 329c1d00f..b0d2a24d2 100644
--- a/docs/reference/getEReproAndGrowth.html
+++ b/docs/reference/getEReproAndGrowth.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get energy rate available for reproduction and growth — getEReproAndGrowth"><meta name="description" content="Calculates the energy rate \(E_{r.i}(w)\) (grams/year) available for
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get energy rate available for reproduction and growth — getEReproAndGrowth"><meta name="description" content="Calculates the energy rate \(E_{r.i}(w)\) (grams/year) available for
 reproduction and growth after metabolism and movement have been accounted
 for."><meta property="og:description" content="Calculates the energy rate \(E_{r.i}(w)\) (grams/year) available for
 reproduction and growth after metabolism and movement have been accounted
@@ -17,7 +17,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -38,13 +38,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -54,7 +62,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -128,22 +137,8 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    <p>A two dimensional array (species x size) holding
-$$E_{r.i}(w) = \max(0, \alpha_i\, (1 - {\tt feeding\_level}_i(w))\,
-                           {\tt encounter}_i(w) - {\tt metab}_i(w)).$$
-Due to the form of the feeding level, calculated by
-<code><a href="getFeedingLevel.html">getFeedingLevel()</a></code>, if the feeding level is nonzero this can also be expressed as
-$$E_{r.i}(w) = \max(0, \alpha_i\, {\tt feeding\_level}_i(w)\,
-                           h_i(w) - {\tt metab}_i(w))$$
-where \(h_i\) is the maximum intake rate, set with
-<code><a href="setMaxIntakeRate.html">setMaxIntakeRate()</a></code>. However this function is using the first equation
-above so that it works also when the maximum intake rate is infinite, i.e.,
-there is no satiation.
-The assimilation rate \(\alpha_i\) is taken from the species parameter
-data frame in <code>params</code>. The metabolic rate <code>metab</code> is taken from
-<code>params</code> and set with <code><a href="setMetabolicRate.html">setMetabolicRate()</a></code>.</p>
-<p>The return value can be negative, which means that the energy intake does not
-cover the cost of metabolism and movement.</p>
+    <p>An <code>ArraySpeciesBySize</code> object (species x size) with the energy rate
+\(E_{r.i}(w)\) available for growth and reproduction (grams/year).</p>
     </div>
     <div class="section level2">
     <h2 id="your-own-energy-rate-function">Your own energy rate function<a class="anchor" aria-label="anchor" href="#your-own-energy-rate-function"></a></h2>
@@ -163,12 +158,14 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
 calculated with <code><a href="getEGrowth.html">getEGrowth()</a></code> and the part that is invested into
 reproduction is calculated with <code><a href="getERepro.html">getERepro()</a></code>.</p>
 <p>Other rate functions:
+<code><a href="getDiffusion.html">getDiffusion()</a></code>,
 <code><a href="getEGrowth.html">getEGrowth()</a></code>,
 <code><a href="getERepro.html">getERepro()</a></code>,
 <code><a href="getEncounter.html">getEncounter()</a></code>,
 <code><a href="getFMort.html">getFMort()</a></code>,
 <code><a href="getFMortGear.html">getFMortGear()</a></code>,
 <code><a href="getFeedingLevel.html">getFeedingLevel()</a></code>,
+<code><a href="getFlux.html">getFlux()</a></code>,
 <code><a href="getMort.html">getMort()</a></code>,
 <code><a href="getPredMort.html">getPredMort()</a></code>,
 <code><a href="getPredRate.html">getPredRate()</a></code>,
diff --git a/docs/reference/getESpawning.html b/docs/reference/getESpawning.html
index 7d9e9264a..3f917152b 100644
--- a/docs/reference/getESpawning.html
+++ b/docs/reference/getESpawning.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Alias for getERepro() — getESpawning"><meta name="description" content="
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Alias for getERepro() — getESpawning"><meta name="description" content="
 An alias provided for backward compatibility with mizer version &amp;lt;= 1.0"><meta property="og:description" content="
 An alias provided for backward compatibility with mizer version &amp;lt;= 1.0"><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
@@ -15,7 +15,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -36,13 +36,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -52,7 +60,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -125,13 +134,14 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    <p>A two dimensional array (prey species x prey size) holding
-$$\psi_i(w)E_{r.i}(w)$$
+    <p>An <code>ArraySpeciesBySize</code> object (species x size) holding
+$$\psi_i(w)\max(0, E_{r.i}(w))$$
 where \(E_{r.i}(w)\) is the rate at which energy becomes available for
 growth and reproduction, calculated with <code><a href="getEReproAndGrowth.html">getEReproAndGrowth()</a></code>,
 and \(\psi_i(w)\) is the proportion of this energy that is used for
-reproduction. This proportion is taken from the <code>params</code> object and is
-set with <code><a href="setReproduction.html">setReproduction()</a></code>.</p>
+reproduction. Negative values of \(E_{r.i}(w)\) are clipped to 0 before
+multiplying by \(\psi_i(w)\). This proportion is taken from the <code>params</code>
+object and is set with <code><a href="setReproduction.html">setReproduction()</a></code>.</p>
     </div>
     <div class="section level2">
     <h2 id="your-own-reproduction-rate-function">Your own reproduction rate function<a class="anchor" aria-label="anchor" href="#your-own-reproduction-rate-function"></a></h2>
@@ -148,12 +158,14 @@ <h2 id="your-own-reproduction-rate-function">Your own reproduction rate function
     <div class="section level2">
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
     <div class="dont-index"><p>Other rate functions:
+<code><a href="getDiffusion.html">getDiffusion()</a></code>,
 <code><a href="getEGrowth.html">getEGrowth()</a></code>,
 <code><a href="getEReproAndGrowth.html">getEReproAndGrowth()</a></code>,
 <code><a href="getEncounter.html">getEncounter()</a></code>,
 <code><a href="getFMort.html">getFMort()</a></code>,
 <code><a href="getFMortGear.html">getFMortGear()</a></code>,
 <code><a href="getFeedingLevel.html">getFeedingLevel()</a></code>,
+<code><a href="getFlux.html">getFlux()</a></code>,
 <code><a href="getMort.html">getMort()</a></code>,
 <code><a href="getPredMort.html">getPredMort()</a></code>,
 <code><a href="getPredRate.html">getPredRate()</a></code>,
diff --git a/docs/reference/getEffort.html b/docs/reference/getEffort.html
index 75c6274d8..873bd9261 100644
--- a/docs/reference/getEffort.html
+++ b/docs/reference/getEffort.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Fishing effort used in simulation — getEffort"><meta name="description" content="Note that the array returned may not be exactly the same as the effort
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Fishing effort used in simulation — getEffort"><meta name="description" content="Note that the array returned may not be exactly the same as the effort
 argument that was passed in to project(). This is because only the saved
 effort is stored (the frequency of saving is determined by the argument
 t_save)."><meta property="og:description" content="Note that the array returned may not be exactly the same as the effort
@@ -19,7 +19,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -40,13 +40,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -56,7 +64,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
diff --git a/docs/reference/getEncounter.html b/docs/reference/getEncounter.html
index 700e6cbfa..9f5c33c9b 100644
--- a/docs/reference/getEncounter.html
+++ b/docs/reference/getEncounter.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get encounter rate — getEncounter"><meta name="description" content="Returns the rate at which a predator of species \(i\) and
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get encounter rate — getEncounter"><meta name="description" content="Returns the rate at which a predator of species \(i\) and
 weight \(w\) encounters food (grams/year)."><meta property="og:description" content="Returns the rate at which a predator of species \(i\) and
 weight \(w\) encounters food (grams/year)."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
@@ -15,7 +15,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -36,13 +36,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -52,7 +60,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -125,8 +134,8 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    <p>A named two dimensional array (predator species x predator size) with
-the encounter rates.</p>
+    <p>An <code>ArraySpeciesBySize</code> object (predator species x predator size) with the
+encounter rates.</p>
     </div>
     <div class="section level2">
     <h2 id="predation-encounter">Predation encounter<a class="anchor" aria-label="anchor" href="#predation-encounter"></a></h2>
@@ -165,15 +174,25 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
 <p>If your model contains additional components that you added with
 <code><a href="setComponent.html">setComponent()</a></code> and for which you specified an <code>encounter_fun</code> function then
 the encounters of these components will be included in the returned value.</p>
+    </div>
+    <div class="section level2">
+    <h2 id="extension-hook">Extension hook<a class="anchor" aria-label="anchor" href="#extension-hook"></a></h2>
+
+
+<p><code><a href="mizerEncounter.html">projectEncounter()</a></code> is the S3 generic used by extension-aware projections.
+Extension packages can add methods for their marker classes and call
+<code><a href="https://rdrr.io/r/base/UseMethod.html" class="external-link">NextMethod()</a></code> to compose encounter-rate changes. The <code>MizerParams</code> method
+contains the standard mizer calculation and is also exported as
+<code><a href="mizerEncounter.html">mizerEncounter()</a></code> for compatibility.</p>
     </div>
     <div class="section level2">
     <h2 id="your-own-encounter-function">Your own encounter function<a class="anchor" aria-label="anchor" href="#your-own-encounter-function"></a></h2>
 
 
-<p>By default <code>getEncounter()</code> calls <code><a href="mizerEncounter.html">mizerEncounter()</a></code>. However you can
-replace this with your own alternative encounter function. If
-your function is called <code>"myEncounter"</code> then you register it in a MizerParams
-object <code>params</code> with</p>
+<p>By default <code>getEncounter()</code> calls <code><a href="mizerEncounter.html">mizerEncounter()</a></code> on models without
+extensions. However you can replace this with your own alternative encounter
+function. If your function is called <code>"myEncounter"</code> then you register it in
+a MizerParams object <code>params</code> with</p>
 <p></p><div class="sourceCode"><pre><code><span id="cb1-1"><a href="#cb1-1" tabindex="-1"></a>params <span class="ot">&lt;-</span> <span class="fu">setRateFunction</span>(params, <span class="st">"Encounter"</span>, <span class="st">"myEncounter"</span>)</span></code></pre><p></p></div>
 <p>Your function will then be called instead of <code><a href="mizerEncounter.html">mizerEncounter()</a></code>, with the
 same arguments.</p>
@@ -181,12 +200,14 @@ <h2 id="your-own-encounter-function">Your own encounter function<a class="anchor
     <div class="section level2">
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
     <div class="dont-index"><p>Other rate functions:
+<code><a href="getDiffusion.html">getDiffusion()</a></code>,
 <code><a href="getEGrowth.html">getEGrowth()</a></code>,
 <code><a href="getERepro.html">getERepro()</a></code>,
 <code><a href="getEReproAndGrowth.html">getEReproAndGrowth()</a></code>,
 <code><a href="getFMort.html">getFMort()</a></code>,
 <code><a href="getFMortGear.html">getFMortGear()</a></code>,
 <code><a href="getFeedingLevel.html">getFeedingLevel()</a></code>,
+<code><a href="getFlux.html">getFlux()</a></code>,
 <code><a href="getMort.html">getMort()</a></code>,
 <code><a href="getPredMort.html">getPredMort()</a></code>,
 <code><a href="getPredRate.html">getPredRate()</a></code>,
@@ -200,10 +221,195 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
     <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="va">encounter</span> <span class="op">&lt;-</span> <span class="fu">getEncounter</span><span class="op">(</span><span class="va">NS_params</span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/utils/str.html" class="external-link">str</a></span><span class="op">(</span><span class="va">encounter</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  num [1:12, 1:100] 0.299 0.453 0.502 0.575 0.492 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  'ArraySpeciesBySize' num [1:12, 1:100] 0.299 0.453 0.502 0.575 0.492 ...</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>  - attr(*, "dimnames")=List of 2</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   ..$ w : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  - attr(*, "value_name")= chr "Encounter rate"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  - attr(*, "units")= chr "g/year"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  - attr(*, "params")=Formal class 'MizerParams' [package "mizer"] with 46 slots</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ metadata               : list()</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ mizer_version          :Classes 'package_version', 'numeric_version'  hidden list of 1</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ : int [1:4] 2 5 4 9123</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ extensions             : chr(0) </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ time_created           : POSIXct[1:1], format: "2021-09-03 20:29:38"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ time_modified          : POSIXct[1:1], format: "2026-04-12 11:31:45"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ w                      : num [1:100] 0.001 0.00119 0.00142 0.0017 0.00203 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ dw                     : num [1:100] 0.000193 0.000231 0.000275 0.000329 0.000392 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ w_full                 : num [1:226] 2.12e-13 2.53e-13 3.02e-13 3.61e-13 4.30e-13 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ dw_full                : num [1:226] 4.10e-14 4.90e-14 5.84e-14 6.97e-14 8.32e-14 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ w_min_idx              : Named num [1:12] 1 1 1 1 1 1 1 1 1 1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "names")= chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ maturity               : num [1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ w : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ psi                    : num [1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ w : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ initial_n              : num [1:12, 1:100] 1.84e+13 6.86e+12 1.44e+14 1.45e+13 1.71e+11 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ w : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ intake_max             : num [1:12, 1:100] 0.182 0.275 0.328 0.35 0.307 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ w : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ search_vol             : num [1:12, 1:100] 1.27e-13 6.00e-14 3.44e-13 4.49e-14 1.86e-13 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ w : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ metab                  : num [1:12, 1:100] 0.0289 0.0437 0.0522 0.0557 0.0487 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ w : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ pred_kernel            : logi [1(1d)] NA</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ ft_pred_kernel_e       : cplx [1:12, 1:226] 11.3+0i 26.9+0i 20.8+0i ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ k : chr [1:226] "1" "2" "3" "4" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ ft_pred_kernel_p       : cplx [1:12, 1:226] 11.3+0i 26.9+0i 20.8+0i ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ k : chr [1:226] "1" "2" "3" "4" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ mu_b                   : num [1:12, 1:100] 0.1871 0.1817 0.1293 0.0865 0.0874 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ w : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ ext_encounter          : num [1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ w : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ ext_diffusion          : num [1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ w : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ rr_pp                  : Named num [1:226] 167660 158066 149021 140494 132455 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "names")= chr [1:226] "2.12e-13" "2.53e-13" "3.02e-13" "3.61e-13" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ cc_pp                  : Named num [1:226] 1.09e+38 7.46e+37 5.11e+37 3.51e+37 2.41e+37 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "names")= chr [1:226] "2.12e-13" "2.53e-13" "3.02e-13" "3.61e-13" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ resource_dynamics      : chr "resource_semichemostat"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ resource_params        :List of 5</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ kappa      : num 1e+11</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ lambda     : num 2.13</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ r_pp       : num 10</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ n          : num 0.667</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ w_pp_cutoff: num 9.82</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ other_dynamics         : list()</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ other_params           : list()</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ other_encounter        : list()</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ other_mort             : list()</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ rates_funcs            :List of 14</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ Rates          : chr "mizerRates"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ Encounter      : chr "mizerEncounter"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ FeedingLevel   : chr "mizerFeedingLevel"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ EReproAndGrowth: chr "mizerEReproAndGrowth"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ PredRate       : chr "mizerPredRate"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ PredMort       : chr "mizerPredMort"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ FMort          : chr "mizerFMort"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ Mort           : chr "mizerMort"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ ERepro         : chr "mizerERepro"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ EGrowth        : chr "mizerEGrowth"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ ResourceMort   : chr "mizerResourceMort"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ RDI            : chr "mizerRDI"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ RDD            : chr "BevertonHoltRDD"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ Diffusion      : chr "mizerDiffusion"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ sc                     : num [1:100] 0.001 0.00119 0.00142 0.0017 0.00203 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ initial_n_pp           : Named num [1:226] 1.09e+38 7.46e+37 5.11e+37 3.51e+37 2.41e+37 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "names")= chr [1:226] "2.12e-13" "2.53e-13" "3.02e-13" "3.61e-13" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ initial_n_other        : list()</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ species_params         :'data.frame':	12 obs. of  34 variables:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ species             : chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ w_max               : num [1:12] 33 36 100 334 324 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ w_mat               : int [1:12] 13 4 23 99 21 75 78 39 105 165 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ beta                : int [1:12] 51076 398849 22 280540 191 22 381 283 113 558 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ sigma               : num [1:12] 0.8 1.9 1.5 3.2 1.9 1.5 1.9 1.8 1.6 2.1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ k_vb                : num [1:12] 0.681 1 0.849 0.606 0.536 0.323 0.284 0.266 0.122 0.271 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ gear                : chr [1:12] "Industrial" "Industrial" "Industrial" "Pelagic" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ w_min               : num [1:12] 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ alpha               : num [1:12] 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ pred_kernel_type    : chr [1:12] "lognormal" "lognormal" "lognormal" "lognormal" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ h                   : num [1:12] 18.2 27.5 32.8 35 30.7 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ k                   : num [1:12] 0 0 0 0 0 0 0 0 0 0 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ ks                  : num [1:12] 3.64 5.5 6.57 7.01 6.14 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ z0                  : num [1:12] 0.1871 0.1817 0.1293 0.0865 0.0874 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ gamma               : num [1:12] 3.20e-11 1.51e-11 8.63e-11 1.13e-11 4.67e-11 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ m                   : num [1:12] 1 1 1 1 1 1 1 1 1 1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ erepro              : num [1:12] 1 1 1 1 1 1 1 1 1 1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ R_max               : num [1:12] 7.38e+11 4.10e+11 1.05e+13 1.11e+12 1.12e+10 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ sel_func            : chr [1:12] "knife_edge" "knife_edge" "knife_edge" "knife_edge" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ knife_edge_size     : int [1:12] 13 4 23 99 21 75 78 39 105 165 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ catchability        : num [1:12] 1 1 1 1 1 1 1 1 1 1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ p                   : num [1:12] 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ q                   : num [1:12] 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ n                   : num [1:12] 0.667 0.667 0.667 0.667 0.667 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ f0                  : num [1:12] 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ interaction_resource: num [1:12] 1 1 1 1 1 1 1 1 1 1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ w_inf               : num [1:12] 33 36 100 334 324 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ w_mat25             : num [1:12] 11.65 3.58 20.61 88.7 18.82 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ w_repro_max         : num [1:12] 33 36 100 334 324 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ is_background       : logi [1:12] FALSE FALSE FALSE FALSE FALSE FALSE ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ z_ext               : num [1:12] 0 0 0 0 0 0 0 0 0 0 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ d                   : num [1:12] -0.333 -0.333 -0.333 -0.333 -0.333 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ E_ext               : num [1:12] 0 0 0 0 0 0 0 0 0 0 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ D_ext               : num [1:12] 0 0 0 0 0 0 0 0 0 0 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ given_species_params   :'data.frame':	12 obs. of  27 variables:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ species             : chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ w_max               : num [1:12] 33 36 100 334 324 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ w_mat               : int [1:12] 13 4 23 99 21 75 78 39 105 165 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ beta                : int [1:12] 51076 398849 22 280540 191 22 381 283 113 558 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ sigma               : num [1:12] 0.8 1.9 1.5 3.2 1.9 1.5 1.9 1.8 1.6 2.1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ k_vb                : num [1:12] 0.681 1 0.849 0.606 0.536 0.323 0.284 0.266 0.122 0.271 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ gear                : chr [1:12] "Industrial" "Industrial" "Industrial" "Pelagic" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ w_min               : num [1:12] 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ alpha               : num [1:12] 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ pred_kernel_type    : chr [1:12] "lognormal" "lognormal" "lognormal" "lognormal" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ h                   : num [1:12] 18.2 27.5 32.8 35 30.7 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ k                   : num [1:12] 0 0 0 0 0 0 0 0 0 0 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ ks                  : num [1:12] 3.64 5.5 6.57 7.01 6.14 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ z0                  : num [1:12] 0.1871 0.1817 0.1293 0.0865 0.0874 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ gamma               : num [1:12] 3.20e-11 1.51e-11 8.63e-11 1.13e-11 4.67e-11 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ m                   : num [1:12] 1 1 1 1 1 1 1 1 1 1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ erepro              : num [1:12] 1 1 1 1 1 1 1 1 1 1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ R_max               : num [1:12] 7.38e+11 4.10e+11 1.05e+13 1.11e+12 1.12e+10 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ sel_func            : chr [1:12] "knife_edge" "knife_edge" "knife_edge" "knife_edge" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ knife_edge_size     : int [1:12] 13 4 23 99 21 75 78 39 105 165 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ catchability        : num [1:12] 1 1 1 1 1 1 1 1 1 1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ p                   : num [1:12] 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ q                   : num [1:12] 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ n                   : num [1:12] 0.667 0.667 0.667 0.667 0.667 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ f0                  : num [1:12] 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ interaction_resource: num [1:12] 1 1 1 1 1 1 1 1 1 1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ w_inf               : num [1:12] 33 36 100 334 324 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ interaction            : num [1:12, 1:12] 0.7291 0.0341 0.0635 0.2742 0.3624 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ predator: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ prey    : chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ gear_params            :'data.frame':	12 obs. of  5 variables:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ gear           : chr [1:12] "Industrial" "Industrial" "Industrial" "Pelagic" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ species        : chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ sel_func       : chr [1:12] "knife_edge" "knife_edge" "knife_edge" "knife_edge" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ knife_edge_size: int [1:12] 13 4 23 99 21 75 78 39 105 165 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ catchability   : num [1:12] 1 1 1 1 1 1 1 1 1 1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ selectivity            : num [1:4, 1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 3</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ gear: chr [1:4] "Industrial" "Pelagic" "Beam" "Otter"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp  : chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ w   : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ catchability           : num [1:4, 1:12] 1 0 0 0 1 0 0 0 1 0 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ gear: chr [1:4] "Industrial" "Pelagic" "Beam" "Otter"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp  : chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ initial_effort         : Named num [1:4] 0 1 0.5 0.5</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "names")= chr [1:4] "Industrial" "Pelagic" "Beam" "Otter"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ A                      : num [1:12] 1 1 1 1 1 1 1 1 1 1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ linecolour             : Named chr [1:17] "#815f00" "#6237e2" "#8da600" "#de53ff" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "names")= chr [1:17] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ linetype               : Named chr [1:16] "solid" "solid" "solid" "solid" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "names")= chr [1:16] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ ft_mask                : logi [1:12, 1:226] TRUE TRUE TRUE TRUE TRUE TRUE ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ use_predation_diffusion: logi FALSE</span>
 </code></pre></div>
     </div>
   </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
diff --git a/docs/reference/getFMort.html b/docs/reference/getFMort.html
index 16dd67799..15bd85132 100644
--- a/docs/reference/getFMort.html
+++ b/docs/reference/getFMort.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get the total fishing mortality rate from all fishing gears by time, species and size. — getFMort"><meta name="description" content="Calculates the total fishing mortality  (in units 1/year) from all gears by
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get the total fishing mortality rate from all fishing gears by time, species and size. — getFMort"><meta name="description" content="Calculates the total fishing mortality  (in units 1/year) from all gears by
 species and size and possibly time. See setFishing() for details of
 how fishing gears are set up."><meta property="og:description" content="Calculates the total fishing mortality  (in units 1/year) from all gears by
 species and size and possibly time. See setFishing() for details of
@@ -17,7 +17,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -38,13 +38,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -54,7 +62,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -116,10 +125,11 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    <p>An array. If the effort argument has a time dimension, or object is
-of class <code>MizerSim</code>, the output array has three dimensions (time x
-species x size). If the effort argument does not have a time dimension, the
-output array has two dimensions (species x size).</p>
+    <p>If a <code>MizerParams</code> object is passed in without a time-dimensioned
+effort, returns an <code>ArraySpeciesBySize</code> object (species x size) with the fishing
+mortality rates. If the effort argument has a time dimension, or a
+<code>MizerSim</code> object is passed in, returns a three-dimensional array
+(time x species x size).</p>
 <p>The <code>effort</code> argument is only used if a <code>MizerParams</code> object is
 passed in. The <code>effort</code> argument can be a two dimensional array (time x
 gear), a vector of length equal to the number of gears (each gear has a
@@ -153,12 +163,14 @@ <h2 id="your-own-fishing-mortality-function">Your own fishing mortality function
     <div class="section level2">
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
     <div class="dont-index"><p>Other rate functions:
+<code><a href="getDiffusion.html">getDiffusion()</a></code>,
 <code><a href="getEGrowth.html">getEGrowth()</a></code>,
 <code><a href="getERepro.html">getERepro()</a></code>,
 <code><a href="getEReproAndGrowth.html">getEReproAndGrowth()</a></code>,
 <code><a href="getEncounter.html">getEncounter()</a></code>,
 <code><a href="getFMortGear.html">getFMortGear()</a></code>,
 <code><a href="getFeedingLevel.html">getFeedingLevel()</a></code>,
+<code><a href="getFlux.html">getFlux()</a></code>,
 <code><a href="getMort.html">getMort()</a></code>,
 <code><a href="getPredMort.html">getPredMort()</a></code>,
 <code><a href="getPredRate.html">getPredRate()</a></code>,
@@ -175,10 +187,195 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-in"><span><span class="co"># Get the total fishing mortality in the initial state</span></span></span>
 <span class="r-in"><span><span class="cn">F</span> <span class="op">&lt;-</span> <span class="fu">getFMort</span><span class="op">(</span><span class="va">params</span>, effort <span class="op">=</span> <span class="fl">1</span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/utils/str.html" class="external-link">str</a></span><span class="op">(</span><span class="cn">F</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  num [1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  'ArraySpeciesBySize' num [1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ...</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>  - attr(*, "dimnames")=List of 2</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   ..$ w : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  - attr(*, "value_name")= chr "Fishing mortality"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  - attr(*, "units")= chr "1/year"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  - attr(*, "params")=Formal class 'MizerParams' [package "mizer"] with 46 slots</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ metadata               : list()</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ mizer_version          :Classes 'package_version', 'numeric_version'  hidden list of 1</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ : int [1:4] 2 5 4 9123</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ extensions             : chr(0) </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ time_created           : POSIXct[1:1], format: "2021-09-03 20:29:38"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ time_modified          : POSIXct[1:1], format: "2026-04-12 11:31:45"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ w                      : num [1:100] 0.001 0.00119 0.00142 0.0017 0.00203 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ dw                     : num [1:100] 0.000193 0.000231 0.000275 0.000329 0.000392 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ w_full                 : num [1:226] 2.12e-13 2.53e-13 3.02e-13 3.61e-13 4.30e-13 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ dw_full                : num [1:226] 4.10e-14 4.90e-14 5.84e-14 6.97e-14 8.32e-14 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ w_min_idx              : Named num [1:12] 1 1 1 1 1 1 1 1 1 1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "names")= chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ maturity               : num [1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ w : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ psi                    : num [1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ w : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ initial_n              : num [1:12, 1:100] 1.84e+13 6.86e+12 1.44e+14 1.45e+13 1.71e+11 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ w : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ intake_max             : num [1:12, 1:100] 0.182 0.275 0.328 0.35 0.307 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ w : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ search_vol             : num [1:12, 1:100] 1.27e-13 6.00e-14 3.44e-13 4.49e-14 1.86e-13 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ w : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ metab                  : num [1:12, 1:100] 0.0289 0.0437 0.0522 0.0557 0.0487 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ w : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ pred_kernel            : logi [1(1d)] NA</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ ft_pred_kernel_e       : cplx [1:12, 1:226] 11.3+0i 26.9+0i 20.8+0i ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ k : chr [1:226] "1" "2" "3" "4" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ ft_pred_kernel_p       : cplx [1:12, 1:226] 11.3+0i 26.9+0i 20.8+0i ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ k : chr [1:226] "1" "2" "3" "4" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ mu_b                   : num [1:12, 1:100] 0.1871 0.1817 0.1293 0.0865 0.0874 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ w : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ ext_encounter          : num [1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ w : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ ext_diffusion          : num [1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ w : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ rr_pp                  : Named num [1:226] 167660 158066 149021 140494 132455 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "names")= chr [1:226] "2.12e-13" "2.53e-13" "3.02e-13" "3.61e-13" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ cc_pp                  : Named num [1:226] 1.09e+38 7.46e+37 5.11e+37 3.51e+37 2.41e+37 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "names")= chr [1:226] "2.12e-13" "2.53e-13" "3.02e-13" "3.61e-13" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ resource_dynamics      : chr "resource_semichemostat"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ resource_params        :List of 5</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ kappa      : num 1e+11</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ lambda     : num 2.13</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ r_pp       : num 10</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ n          : num 0.667</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ w_pp_cutoff: num 9.82</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ other_dynamics         : list()</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ other_params           : list()</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ other_encounter        : list()</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ other_mort             : list()</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ rates_funcs            :List of 14</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ Rates          : chr "mizerRates"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ Encounter      : chr "mizerEncounter"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ FeedingLevel   : chr "mizerFeedingLevel"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ EReproAndGrowth: chr "mizerEReproAndGrowth"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ PredRate       : chr "mizerPredRate"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ PredMort       : chr "mizerPredMort"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ FMort          : chr "mizerFMort"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ Mort           : chr "mizerMort"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ ERepro         : chr "mizerERepro"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ EGrowth        : chr "mizerEGrowth"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ ResourceMort   : chr "mizerResourceMort"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ RDI            : chr "mizerRDI"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ RDD            : chr "BevertonHoltRDD"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ Diffusion      : chr "mizerDiffusion"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ sc                     : num [1:100] 0.001 0.00119 0.00142 0.0017 0.00203 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ initial_n_pp           : Named num [1:226] 1.09e+38 7.46e+37 5.11e+37 3.51e+37 2.41e+37 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "names")= chr [1:226] "2.12e-13" "2.53e-13" "3.02e-13" "3.61e-13" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ initial_n_other        : list()</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ species_params         :'data.frame':	12 obs. of  34 variables:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ species             : chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ w_max               : num [1:12] 33 36 100 334 324 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ w_mat               : int [1:12] 13 4 23 99 21 75 78 39 105 165 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ beta                : int [1:12] 51076 398849 22 280540 191 22 381 283 113 558 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ sigma               : num [1:12] 0.8 1.9 1.5 3.2 1.9 1.5 1.9 1.8 1.6 2.1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ k_vb                : num [1:12] 0.681 1 0.849 0.606 0.536 0.323 0.284 0.266 0.122 0.271 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ gear                : chr [1:12] "Industrial" "Industrial" "Industrial" "Pelagic" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ w_min               : num [1:12] 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ alpha               : num [1:12] 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ pred_kernel_type    : chr [1:12] "lognormal" "lognormal" "lognormal" "lognormal" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ h                   : num [1:12] 18.2 27.5 32.8 35 30.7 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ k                   : num [1:12] 0 0 0 0 0 0 0 0 0 0 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ ks                  : num [1:12] 3.64 5.5 6.57 7.01 6.14 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ z0                  : num [1:12] 0.1871 0.1817 0.1293 0.0865 0.0874 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ gamma               : num [1:12] 3.20e-11 1.51e-11 8.63e-11 1.13e-11 4.67e-11 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ m                   : num [1:12] 1 1 1 1 1 1 1 1 1 1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ erepro              : num [1:12] 1 1 1 1 1 1 1 1 1 1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ R_max               : num [1:12] 7.38e+11 4.10e+11 1.05e+13 1.11e+12 1.12e+10 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ sel_func            : chr [1:12] "knife_edge" "knife_edge" "knife_edge" "knife_edge" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ knife_edge_size     : int [1:12] 13 4 23 99 21 75 78 39 105 165 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ catchability        : num [1:12] 1 1 1 1 1 1 1 1 1 1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ p                   : num [1:12] 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ q                   : num [1:12] 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ n                   : num [1:12] 0.667 0.667 0.667 0.667 0.667 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ f0                  : num [1:12] 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ interaction_resource: num [1:12] 1 1 1 1 1 1 1 1 1 1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ w_inf               : num [1:12] 33 36 100 334 324 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ w_mat25             : num [1:12] 11.65 3.58 20.61 88.7 18.82 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ w_repro_max         : num [1:12] 33 36 100 334 324 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ is_background       : logi [1:12] FALSE FALSE FALSE FALSE FALSE FALSE ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ z_ext               : num [1:12] 0 0 0 0 0 0 0 0 0 0 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ d                   : num [1:12] -0.333 -0.333 -0.333 -0.333 -0.333 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ E_ext               : num [1:12] 0 0 0 0 0 0 0 0 0 0 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ D_ext               : num [1:12] 0 0 0 0 0 0 0 0 0 0 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ given_species_params   :'data.frame':	12 obs. of  27 variables:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ species             : chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ w_max               : num [1:12] 33 36 100 334 324 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ w_mat               : int [1:12] 13 4 23 99 21 75 78 39 105 165 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ beta                : int [1:12] 51076 398849 22 280540 191 22 381 283 113 558 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ sigma               : num [1:12] 0.8 1.9 1.5 3.2 1.9 1.5 1.9 1.8 1.6 2.1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ k_vb                : num [1:12] 0.681 1 0.849 0.606 0.536 0.323 0.284 0.266 0.122 0.271 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ gear                : chr [1:12] "Industrial" "Industrial" "Industrial" "Pelagic" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ w_min               : num [1:12] 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ alpha               : num [1:12] 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ pred_kernel_type    : chr [1:12] "lognormal" "lognormal" "lognormal" "lognormal" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ h                   : num [1:12] 18.2 27.5 32.8 35 30.7 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ k                   : num [1:12] 0 0 0 0 0 0 0 0 0 0 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ ks                  : num [1:12] 3.64 5.5 6.57 7.01 6.14 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ z0                  : num [1:12] 0.1871 0.1817 0.1293 0.0865 0.0874 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ gamma               : num [1:12] 3.20e-11 1.51e-11 8.63e-11 1.13e-11 4.67e-11 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ m                   : num [1:12] 1 1 1 1 1 1 1 1 1 1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ erepro              : num [1:12] 1 1 1 1 1 1 1 1 1 1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ R_max               : num [1:12] 7.38e+11 4.10e+11 1.05e+13 1.11e+12 1.12e+10 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ sel_func            : chr [1:12] "knife_edge" "knife_edge" "knife_edge" "knife_edge" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ knife_edge_size     : int [1:12] 13 4 23 99 21 75 78 39 105 165 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ catchability        : num [1:12] 1 1 1 1 1 1 1 1 1 1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ p                   : num [1:12] 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ q                   : num [1:12] 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ n                   : num [1:12] 0.667 0.667 0.667 0.667 0.667 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ f0                  : num [1:12] 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ interaction_resource: num [1:12] 1 1 1 1 1 1 1 1 1 1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ w_inf               : num [1:12] 33 36 100 334 324 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ interaction            : num [1:12, 1:12] 0.7291 0.0341 0.0635 0.2742 0.3624 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ predator: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ prey    : chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ gear_params            :'data.frame':	12 obs. of  5 variables:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ gear           : chr [1:12] "Industrial" "Industrial" "Industrial" "Pelagic" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ species        : chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ sel_func       : chr [1:12] "knife_edge" "knife_edge" "knife_edge" "knife_edge" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ knife_edge_size: int [1:12] 13 4 23 99 21 75 78 39 105 165 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ catchability   : num [1:12] 1 1 1 1 1 1 1 1 1 1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ selectivity            : num [1:4, 1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 3</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ gear: chr [1:4] "Industrial" "Pelagic" "Beam" "Otter"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp  : chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ w   : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ catchability           : num [1:4, 1:12] 1 0 0 0 1 0 0 0 1 0 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ gear: chr [1:4] "Industrial" "Pelagic" "Beam" "Otter"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp  : chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ initial_effort         : Named num [1:4] 0 1 0.5 0.5</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "names")= chr [1:4] "Industrial" "Pelagic" "Beam" "Otter"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ A                      : num [1:12] 1 1 1 1 1 1 1 1 1 1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ linecolour             : Named chr [1:17] "#815f00" "#6237e2" "#8da600" "#de53ff" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "names")= chr [1:17] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ linetype               : Named chr [1:16] "solid" "solid" "solid" "solid" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "names")= chr [1:16] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ ft_mask                : logi [1:12, 1:226] TRUE TRUE TRUE TRUE TRUE TRUE ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ use_predation_diffusion: logi FALSE</span>
 <span class="r-in"><span><span class="co"># Get the initial total fishing mortality when effort is different</span></span></span>
 <span class="r-in"><span><span class="co"># between the four gears:</span></span></span>
 <span class="r-in"><span><span class="cn">F</span> <span class="op">&lt;-</span> <span class="fu">getFMort</span><span class="op">(</span><span class="va">params</span>, effort <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">0.5</span>,<span class="fl">1</span>,<span class="fl">1.5</span>,<span class="fl">0.75</span><span class="op">)</span><span class="op">)</span></span></span>
diff --git a/docs/reference/getFMortGear.html b/docs/reference/getFMortGear.html
index 76bc18408..08f558466 100644
--- a/docs/reference/getFMortGear.html
+++ b/docs/reference/getFMortGear.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get the fishing mortality by time, gear, species and size — getFMortGear"><meta name="description" content="Calculates the fishing mortality rate \(F_{g,i,w}\) by gear, species and
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get the fishing mortality by time, gear, species and size — getFMortGear"><meta name="description" content="Calculates the fishing mortality rate \(F_{g,i,w}\) by gear, species and
 size and possibly time (in units 1/year)."><meta property="og:description" content="Calculates the fishing mortality rate \(F_{g,i,w}\) by gear, species and
 size and possibly time (in units 1/year)."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
@@ -15,7 +15,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -36,13 +36,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -52,7 +60,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -130,12 +139,14 @@ <h2 id="note">Note<a class="anchor" aria-label="anchor" href="#note"></a></h2>
     <div class="section level2">
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
     <div class="dont-index"><p>Other rate functions:
+<code><a href="getDiffusion.html">getDiffusion()</a></code>,
 <code><a href="getEGrowth.html">getEGrowth()</a></code>,
 <code><a href="getERepro.html">getERepro()</a></code>,
 <code><a href="getEReproAndGrowth.html">getEReproAndGrowth()</a></code>,
 <code><a href="getEncounter.html">getEncounter()</a></code>,
 <code><a href="getFMort.html">getFMort()</a></code>,
 <code><a href="getFeedingLevel.html">getFeedingLevel()</a></code>,
+<code><a href="getFlux.html">getFlux()</a></code>,
 <code><a href="getMort.html">getMort()</a></code>,
 <code><a href="getPredMort.html">getPredMort()</a></code>,
 <code><a href="getPredRate.html">getPredRate()</a></code>,
diff --git a/docs/reference/getFeedingLevel.html b/docs/reference/getFeedingLevel.html
index 734557863..3b26aed42 100644
--- a/docs/reference/getFeedingLevel.html
+++ b/docs/reference/getFeedingLevel.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get feeding level — getFeedingLevel"><meta name="description" content="Returns the feeding level.
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get feeding level — getFeedingLevel"><meta name="description" content="Returns the feeding level.
 By default this function uses mizerFeedingLevel() to calculate
 the feeding level, but this can be overruled via setRateFunction()."><meta property="og:description" content="Returns the feeding level.
 By default this function uses mizerFeedingLevel() to calculate
@@ -17,7 +17,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -38,13 +38,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -54,7 +62,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -110,9 +119,9 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 
 
 <dt id="arg-time-range">time_range<a class="anchor" aria-label="anchor" href="#arg-time-range"></a></dt>
-<dd><p>A vector of times. Only the range of times is relevant,
-i.e., all times between the smallest and largest will be selected.
-The time_range can be character or numeric.</p></dd>
+<dd><p>A numeric or character vector of times. Only the range of
+values matters, so all saved times between <code>min(time_range)</code> and
+<code>max(time_range)</code> are selected.</p></dd>
 
 
 <dt id="arg-drop">drop<a class="anchor" aria-label="anchor" href="#arg-drop"></a></dt>
@@ -126,13 +135,12 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    <p>If a <code>MizerParams</code> object is passed in, the function returns a two
-dimensional array (predator species x predator size) based on the
-abundances also passed in.
-If a <code>MizerSim</code> object is passed in, the function returns a three
-dimensional array (time step x predator species x predator size) with the
-feeding level calculated at every time step in the simulation.
-If <code>drop = TRUE</code> then the dimension of length 1 will be removed from
+    <p>If a <code>MizerParams</code> object is passed in, returns an <code>ArraySpeciesBySize</code> object
+(predator species x predator size) with the feeding level.
+If a <code>MizerSim</code> object is passed in, returns a three-dimensional array
+(time step x predator species x predator size) with the feeding level at
+every time step.
+If <code>drop = TRUE</code> then dimensions of length 1 will be removed from
 the returned array.</p>
     </div>
     <div class="section level2">
@@ -167,12 +175,14 @@ <h2 id="your-own-feeding-level-function">Your own feeding level function<a class
     <div class="section level2">
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
     <div class="dont-index"><p>Other rate functions:
+<code><a href="getDiffusion.html">getDiffusion()</a></code>,
 <code><a href="getEGrowth.html">getEGrowth()</a></code>,
 <code><a href="getERepro.html">getERepro()</a></code>,
 <code><a href="getEReproAndGrowth.html">getEReproAndGrowth()</a></code>,
 <code><a href="getEncounter.html">getEncounter()</a></code>,
 <code><a href="getFMort.html">getFMort()</a></code>,
 <code><a href="getFMortGear.html">getFMortGear()</a></code>,
+<code><a href="getFlux.html">getFlux()</a></code>,
 <code><a href="getMort.html">getMort()</a></code>,
 <code><a href="getPredMort.html">getPredMort()</a></code>,
 <code><a href="getPredRate.html">getPredRate()</a></code>,
diff --git a/docs/reference/getFlux.html b/docs/reference/getFlux.html
new file mode 100644
index 000000000..e52552f8a
--- /dev/null
+++ b/docs/reference/getFlux.html
@@ -0,0 +1,203 @@
+<!DOCTYPE html>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en-GB"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Get flux into size bins — getFlux • mizer</title><!-- favicons --><link rel="icon" type="image/png" sizes="96x96" href="../favicon-96x96.png"><link rel="icon" type="”image/svg+xml”" href="../favicon.svg"><link rel="apple-touch-icon" sizes="180x180" href="../apple-touch-icon.png"><link rel="icon" sizes="any" href="../favicon.ico"><link rel="manifest" href="../site.webmanifest"><!-- mathjax math --><script src="https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/tex-mml-chtml.js" integrity="sha256-MASABpB4tYktI2Oitl4t+78w/lyA+D7b/s9GEP0JOGI=" crossorigin="anonymous"></script><script>
+  window.MathJax = {
+    chtml: {
+      fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
+    }
+  };
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get flux into size bins — getFlux"><meta name="description" content="Calculates the flux \(J_i(w)\) (numbers/year) entering each size class
+from the one below it. This is composed of an advective flux from somatic
+growth and a diffusive flux from the redistribution of individuals."><meta property="og:description" content="Calculates the flux \(J_i(w)\) (numbers/year) entering each size class
+from the one below it. This is composed of an advective flux from somatic
+growth and a diffusive flux from the redistribution of individuals."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
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+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
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+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Get flux into size bins</h1>
+      <small class="dont-index">Source: <a href="https://github.com/sizespectrum/mizer/blob/HEAD/R/rate_functions.R" class="external-link"><code>R/rate_functions.R</code></a></small>
+      <div class="d-none name"><code>getFlux.Rd</code></div>
+    </div>
+
+    <div class="ref-description section level2">
+    <p>Calculates the flux \(J_i(w)\) (numbers/year) entering each size class
+from the one below it. This is composed of an advective flux from somatic
+growth and a diffusive flux from the redistribution of individuals.</p>
+    </div>
+
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">getFlux</span><span class="op">(</span></span>
+<span>  <span class="va">params</span>,</span>
+<span>  n <span class="op">=</span> <span class="fu"><a href="initialN-set.html">initialN</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span>,</span>
+<span>  n_pp <span class="op">=</span> <span class="fu"><a href="initialNResource-set.html">initialNResource</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span>,</span>
+<span>  n_other <span class="op">=</span> <span class="fu"><a href="initialNOther-set.html">initialNOther</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span>,</span>
+<span>  t <span class="op">=</span> <span class="fl">0</span>,</span>
+<span>  <span class="va">...</span></span>
+<span><span class="op">)</span></span></code></pre></div>
+    </div>
+
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-params">params<a class="anchor" aria-label="anchor" href="#arg-params"></a></dt>
+<dd><p>A <a href="MizerParams-class.html">MizerParams</a> object</p></dd>
+
+
+<dt id="arg-n">n<a class="anchor" aria-label="anchor" href="#arg-n"></a></dt>
+<dd><p>A matrix of species abundances (species x size).</p></dd>
+
+
+<dt id="arg-n-pp">n_pp<a class="anchor" aria-label="anchor" href="#arg-n-pp"></a></dt>
+<dd><p>A vector of the resource abundance by size</p></dd>
+
+
+<dt id="arg-n-other">n_other<a class="anchor" aria-label="anchor" href="#arg-n-other"></a></dt>
+<dd><p>A list of abundances for other dynamical components of the
+ecosystem</p></dd>
+
+
+<dt id="arg-t">t<a class="anchor" aria-label="anchor" href="#arg-t"></a></dt>
+<dd><p>The time for which to do the calculation (Not used by standard
+mizer rate functions but useful for extensions with time-dependent
+parameters.)</p></dd>
+
+
+<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
+<dd><p>Unused</p></dd>
+
+</dl></div>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p>An <code>ArraySpeciesBySize</code> object (species x size) with the flux of individuals
+entering each size class (numbers/year).</p>
+    </div>
+    <div class="section level2">
+    <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
+    <p>At the recruitment size, the flux is simply the recruitment rate
+\(R_{dd,i}\) (see <code><a href="getRDD.html">getRDD()</a></code>). For sizes below the recruitment size
+the flux is zero.</p>
+    </div>
+    <div class="section level2">
+    <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
+    <div class="dont-index"><p><code><a href="getEGrowth.html">getEGrowth()</a></code>, <code><a href="getRDD.html">getRDD()</a></code></p>
+<p>Other rate functions:
+<code><a href="getDiffusion.html">getDiffusion()</a></code>,
+<code><a href="getEGrowth.html">getEGrowth()</a></code>,
+<code><a href="getERepro.html">getERepro()</a></code>,
+<code><a href="getEReproAndGrowth.html">getEReproAndGrowth()</a></code>,
+<code><a href="getEncounter.html">getEncounter()</a></code>,
+<code><a href="getFMort.html">getFMort()</a></code>,
+<code><a href="getFMortGear.html">getFMortGear()</a></code>,
+<code><a href="getFeedingLevel.html">getFeedingLevel()</a></code>,
+<code><a href="getMort.html">getMort()</a></code>,
+<code><a href="getPredMort.html">getPredMort()</a></code>,
+<code><a href="getPredRate.html">getPredRate()</a></code>,
+<code><a href="getRDD.html">getRDD()</a></code>,
+<code><a href="getRDI.html">getRDI()</a></code>,
+<code><a href="getRates.html">getRates()</a></code>,
+<code><a href="getResourceMort.html">getResourceMort()</a></code></p></div>
+    </div>
+
+    <div class="section level2">
+    <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="co"># \donttest{</span></span></span>
+<span class="r-in"><span><span class="va">params</span> <span class="op">&lt;-</span> <span class="va">NS_params</span></span></span>
+<span class="r-in"><span><span class="co"># Project with constant fishing effort for all gears for 20 time steps</span></span></span>
+<span class="r-in"><span><span class="va">sim</span> <span class="op">&lt;-</span> <span class="fu"><a href="project.html">project</a></span><span class="op">(</span><span class="va">params</span>, t_max <span class="op">=</span> <span class="fl">20</span>, effort <span class="op">=</span> <span class="fl">0.5</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="co"># Get the flux at a particular time step</span></span></span>
+<span class="r-in"><span><span class="va">flux</span> <span class="op">&lt;-</span> <span class="fu">getFlux</span><span class="op">(</span><span class="va">params</span>, n <span class="op">=</span> <span class="fu"><a href="N.html">N</a></span><span class="op">(</span><span class="va">sim</span><span class="op">)</span><span class="op">[</span><span class="fl">15</span>, , <span class="op">]</span>, n_pp <span class="op">=</span> <span class="fu"><a href="N.html">NResource</a></span><span class="op">(</span><span class="va">sim</span><span class="op">)</span><span class="op">[</span><span class="fl">15</span>, <span class="op">]</span>, t <span class="op">=</span> <span class="fl">15</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="co"># Flux for Sprat of size 2g</span></span></span>
+<span class="r-in"><span><span class="va">flux</span><span class="op">[</span><span class="st">"Sprat"</span>, <span class="st">"2"</span><span class="op">]</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 45461076783</span>
+<span class="r-in"><span><span class="co"># }</span></span></span>
+</code></pre></div>
+    </div>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside></div>
+
+
+    <footer><div class="pkgdown-footer-left">
+  <p>Developed by <a href="https://www.york.ac.uk/maths/staff/gustav-delius/" class="external-link">Gustav Delius</a>, Finlay Scott, <a href="http://www.utas.edu.au/profiles/staff/imas/julia-blanchard" class="external-link">Julia Blanchard</a>, <a href="https://ken.haste.dk/" class="external-link">Ken Andersen</a>.</p>
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diff --git a/docs/reference/getGrowthCurves.html b/docs/reference/getGrowthCurves.html
index 70a181bc6..97dda07c7 100644
--- a/docs/reference/getGrowthCurves.html
+++ b/docs/reference/getGrowthCurves.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
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-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get growth curves giving weight as a function of age — getGrowthCurves"><meta name="description" content="Get growth curves giving weight as a function of age"><meta property="og:description" content="Get growth curves giving weight as a function of age"><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get growth curves giving weight as a function of age — getGrowthCurves"><meta name="description" content="Get growth curves giving weight as a function of age"><meta property="og:description" content="Get growth curves giving weight as a function of age"><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
 
 
@@ -13,7 +13,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -34,13 +34,21 @@
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+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
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+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
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+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -120,6 +129,8 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
 <code><a href="getDiet.html">getDiet()</a></code>,
 <code><a href="getN.html">getN()</a></code>,
 <code><a href="getSSB.html">getSSB()</a></code>,
+<code><a href="getTrophicLevel.html">getTrophicLevel()</a></code>,
+<code><a href="getTrophicLevelBySpecies.html">getTrophicLevelBySpecies()</a></code>,
 <code><a href="getYield.html">getYield()</a></code>,
 <code><a href="getYieldGear.html">getYieldGear()</a></code></p></div>
     </div>
diff --git a/docs/reference/getInteraction.html b/docs/reference/getInteraction.html
index 8ed8589d4..c604b07f7 100644
--- a/docs/reference/getInteraction.html
+++ b/docs/reference/getInteraction.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Deprecated function to get interaction matrix — getInteraction"><meta name="description" content="You should now use interaction_matrix() instead."><meta property="og:description" content="You should now use interaction_matrix() instead."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Deprecated function to get interaction matrix — getInteraction"><meta name="description" content="You should now use interaction_matrix() instead."><meta property="og:description" content="You should now use interaction_matrix() instead."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
 
 
@@ -13,7 +13,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -34,13 +34,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -50,7 +58,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
diff --git a/docs/reference/getM2.html b/docs/reference/getM2.html
index abc2ddf87..fb91db254 100644
--- a/docs/reference/getM2.html
+++ b/docs/reference/getM2.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Alias for getPredMort() — getM2"><meta name="description" content="
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Alias for getPredMort() — getM2"><meta name="description" content="
 An alias provided for backward compatibility with mizer version &amp;lt;= 1.0"><meta property="og:description" content="
 An alias provided for backward compatibility with mizer version &amp;lt;= 1.0"><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
@@ -15,7 +15,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -36,13 +36,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -52,7 +60,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -107,9 +116,9 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 
 
 <dt id="arg-time-range">time_range<a class="anchor" aria-label="anchor" href="#arg-time-range"></a></dt>
-<dd><p>A vector of times. Only the range of times is relevant,
-i.e., all times between the smallest and largest will be selected.
-The time_range can be character or numeric.</p></dd>
+<dd><p>A numeric or character vector of times. Only the range of
+values matters, so all saved times between <code>min(time_range)</code> and
+<code>max(time_range)</code> are selected.</p></dd>
 
 
 <dt id="arg-drop">drop<a class="anchor" aria-label="anchor" href="#arg-drop"></a></dt>
@@ -123,12 +132,12 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    <p>If a <code>MizerParams</code> object is passed in, the function returns a two
-dimensional array (prey species x prey size) based on the abundances also
-passed in. If a <code>MizerSim</code> object is passed in, the function returns a
-three dimensional array (time step x prey species x prey size) with the
-predation mortality calculated at every time step in the simulation.
-Dimensions may be dropped if they have length 1 unless <code>drop = FALSE</code>.</p>
+    <p>If a <code>MizerParams</code> object is passed in, returns an <code>ArraySpeciesBySize</code> object
+(prey species x prey size) with the predation mortality rates.
+If a <code>MizerSim</code> object is passed in, returns a three-dimensional array
+(time step x prey species x prey size) with the predation mortality at
+every time step. Dimensions may be dropped if they have length 1 unless
+<code>drop = FALSE</code>.</p>
     </div>
     <div class="section level2">
     <h2 id="your-own-predation-mortality-function">Your own predation mortality function<a class="anchor" aria-label="anchor" href="#your-own-predation-mortality-function"></a></h2>
@@ -145,6 +154,7 @@ <h2 id="your-own-predation-mortality-function">Your own predation mortality func
     <div class="section level2">
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
     <div class="dont-index"><p>Other rate functions:
+<code><a href="getDiffusion.html">getDiffusion()</a></code>,
 <code><a href="getEGrowth.html">getEGrowth()</a></code>,
 <code><a href="getERepro.html">getERepro()</a></code>,
 <code><a href="getEReproAndGrowth.html">getEReproAndGrowth()</a></code>,
@@ -152,6 +162,7 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
 <code><a href="getFMort.html">getFMort()</a></code>,
 <code><a href="getFMortGear.html">getFMortGear()</a></code>,
 <code><a href="getFeedingLevel.html">getFeedingLevel()</a></code>,
+<code><a href="getFlux.html">getFlux()</a></code>,
 <code><a href="getMort.html">getMort()</a></code>,
 <code><a href="getPredRate.html">getPredRate()</a></code>,
 <code><a href="getRDD.html">getRDD()</a></code>,
@@ -167,10 +178,195 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-in"><span><span class="co"># Predation mortality in initial state</span></span></span>
 <span class="r-in"><span><span class="va">M2</span> <span class="op">&lt;-</span> <span class="fu"><a href="getPredMort.html">getPredMort</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/utils/str.html" class="external-link">str</a></span><span class="op">(</span><span class="va">M2</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  num [1:12, 1:100] 3.64 4.43 4.31 4.89 4.8 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  'ArraySpeciesBySize' num [1:12, 1:100] 3.64 4.43 4.31 4.89 4.8 ...</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>  - attr(*, "dimnames")=List of 2</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   ..$ prey  : chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   ..$ w_prey: chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   ..$ w : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  - attr(*, "value_name")= chr "Predation mortality"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  - attr(*, "units")= chr "1/year"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  - attr(*, "params")=Formal class 'MizerParams' [package "mizer"] with 46 slots</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ metadata               : list()</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ mizer_version          :Classes 'package_version', 'numeric_version'  hidden list of 1</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ : int [1:4] 2 5 4 9123</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ extensions             : chr(0) </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ time_created           : POSIXct[1:1], format: "2021-09-03 20:29:38"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ time_modified          : POSIXct[1:1], format: "2026-04-12 11:31:45"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ w                      : num [1:100] 0.001 0.00119 0.00142 0.0017 0.00203 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ dw                     : num [1:100] 0.000193 0.000231 0.000275 0.000329 0.000392 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ w_full                 : num [1:226] 2.12e-13 2.53e-13 3.02e-13 3.61e-13 4.30e-13 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ dw_full                : num [1:226] 4.10e-14 4.90e-14 5.84e-14 6.97e-14 8.32e-14 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ w_min_idx              : Named num [1:12] 1 1 1 1 1 1 1 1 1 1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "names")= chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ maturity               : num [1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ w : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ psi                    : num [1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ w : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ initial_n              : num [1:12, 1:100] 1.84e+13 6.86e+12 1.44e+14 1.45e+13 1.71e+11 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ w : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ intake_max             : num [1:12, 1:100] 0.182 0.275 0.328 0.35 0.307 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ w : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ search_vol             : num [1:12, 1:100] 1.27e-13 6.00e-14 3.44e-13 4.49e-14 1.86e-13 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ w : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ metab                  : num [1:12, 1:100] 0.0289 0.0437 0.0522 0.0557 0.0487 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ w : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ pred_kernel            : logi [1(1d)] NA</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ ft_pred_kernel_e       : cplx [1:12, 1:226] 11.3+0i 26.9+0i 20.8+0i ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ k : chr [1:226] "1" "2" "3" "4" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ ft_pred_kernel_p       : cplx [1:12, 1:226] 11.3+0i 26.9+0i 20.8+0i ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ k : chr [1:226] "1" "2" "3" "4" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ mu_b                   : num [1:12, 1:100] 0.1871 0.1817 0.1293 0.0865 0.0874 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ w : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ ext_encounter          : num [1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ w : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ ext_diffusion          : num [1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ w : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ rr_pp                  : Named num [1:226] 167660 158066 149021 140494 132455 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "names")= chr [1:226] "2.12e-13" "2.53e-13" "3.02e-13" "3.61e-13" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ cc_pp                  : Named num [1:226] 1.09e+38 7.46e+37 5.11e+37 3.51e+37 2.41e+37 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "names")= chr [1:226] "2.12e-13" "2.53e-13" "3.02e-13" "3.61e-13" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ resource_dynamics      : chr "resource_semichemostat"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ resource_params        :List of 5</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ kappa      : num 1e+11</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ lambda     : num 2.13</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ r_pp       : num 10</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ n          : num 0.667</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ w_pp_cutoff: num 9.82</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ other_dynamics         : list()</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ other_params           : list()</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ other_encounter        : list()</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ other_mort             : list()</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ rates_funcs            :List of 14</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ Rates          : chr "mizerRates"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ Encounter      : chr "mizerEncounter"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ FeedingLevel   : chr "mizerFeedingLevel"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ EReproAndGrowth: chr "mizerEReproAndGrowth"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ PredRate       : chr "mizerPredRate"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ PredMort       : chr "mizerPredMort"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ FMort          : chr "mizerFMort"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ Mort           : chr "mizerMort"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ ERepro         : chr "mizerERepro"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ EGrowth        : chr "mizerEGrowth"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ ResourceMort   : chr "mizerResourceMort"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ RDI            : chr "mizerRDI"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ RDD            : chr "BevertonHoltRDD"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ Diffusion      : chr "mizerDiffusion"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ sc                     : num [1:100] 0.001 0.00119 0.00142 0.0017 0.00203 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ initial_n_pp           : Named num [1:226] 1.09e+38 7.46e+37 5.11e+37 3.51e+37 2.41e+37 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "names")= chr [1:226] "2.12e-13" "2.53e-13" "3.02e-13" "3.61e-13" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ initial_n_other        : list()</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ species_params         :'data.frame':	12 obs. of  34 variables:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ species             : chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ w_max               : num [1:12] 33 36 100 334 324 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ w_mat               : int [1:12] 13 4 23 99 21 75 78 39 105 165 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ beta                : int [1:12] 51076 398849 22 280540 191 22 381 283 113 558 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ sigma               : num [1:12] 0.8 1.9 1.5 3.2 1.9 1.5 1.9 1.8 1.6 2.1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ k_vb                : num [1:12] 0.681 1 0.849 0.606 0.536 0.323 0.284 0.266 0.122 0.271 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ gear                : chr [1:12] "Industrial" "Industrial" "Industrial" "Pelagic" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ w_min               : num [1:12] 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ alpha               : num [1:12] 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ pred_kernel_type    : chr [1:12] "lognormal" "lognormal" "lognormal" "lognormal" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ h                   : num [1:12] 18.2 27.5 32.8 35 30.7 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ k                   : num [1:12] 0 0 0 0 0 0 0 0 0 0 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ ks                  : num [1:12] 3.64 5.5 6.57 7.01 6.14 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ z0                  : num [1:12] 0.1871 0.1817 0.1293 0.0865 0.0874 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ gamma               : num [1:12] 3.20e-11 1.51e-11 8.63e-11 1.13e-11 4.67e-11 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ m                   : num [1:12] 1 1 1 1 1 1 1 1 1 1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ erepro              : num [1:12] 1 1 1 1 1 1 1 1 1 1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ R_max               : num [1:12] 7.38e+11 4.10e+11 1.05e+13 1.11e+12 1.12e+10 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ sel_func            : chr [1:12] "knife_edge" "knife_edge" "knife_edge" "knife_edge" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ knife_edge_size     : int [1:12] 13 4 23 99 21 75 78 39 105 165 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ catchability        : num [1:12] 1 1 1 1 1 1 1 1 1 1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ p                   : num [1:12] 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ q                   : num [1:12] 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ n                   : num [1:12] 0.667 0.667 0.667 0.667 0.667 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ f0                  : num [1:12] 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ interaction_resource: num [1:12] 1 1 1 1 1 1 1 1 1 1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ w_inf               : num [1:12] 33 36 100 334 324 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ w_mat25             : num [1:12] 11.65 3.58 20.61 88.7 18.82 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ w_repro_max         : num [1:12] 33 36 100 334 324 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ is_background       : logi [1:12] FALSE FALSE FALSE FALSE FALSE FALSE ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ z_ext               : num [1:12] 0 0 0 0 0 0 0 0 0 0 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ d                   : num [1:12] -0.333 -0.333 -0.333 -0.333 -0.333 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ E_ext               : num [1:12] 0 0 0 0 0 0 0 0 0 0 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ D_ext               : num [1:12] 0 0 0 0 0 0 0 0 0 0 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ given_species_params   :'data.frame':	12 obs. of  27 variables:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ species             : chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ w_max               : num [1:12] 33 36 100 334 324 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ w_mat               : int [1:12] 13 4 23 99 21 75 78 39 105 165 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ beta                : int [1:12] 51076 398849 22 280540 191 22 381 283 113 558 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ sigma               : num [1:12] 0.8 1.9 1.5 3.2 1.9 1.5 1.9 1.8 1.6 2.1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ k_vb                : num [1:12] 0.681 1 0.849 0.606 0.536 0.323 0.284 0.266 0.122 0.271 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ gear                : chr [1:12] "Industrial" "Industrial" "Industrial" "Pelagic" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ w_min               : num [1:12] 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ alpha               : num [1:12] 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ pred_kernel_type    : chr [1:12] "lognormal" "lognormal" "lognormal" "lognormal" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ h                   : num [1:12] 18.2 27.5 32.8 35 30.7 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ k                   : num [1:12] 0 0 0 0 0 0 0 0 0 0 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ ks                  : num [1:12] 3.64 5.5 6.57 7.01 6.14 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ z0                  : num [1:12] 0.1871 0.1817 0.1293 0.0865 0.0874 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ gamma               : num [1:12] 3.20e-11 1.51e-11 8.63e-11 1.13e-11 4.67e-11 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ m                   : num [1:12] 1 1 1 1 1 1 1 1 1 1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ erepro              : num [1:12] 1 1 1 1 1 1 1 1 1 1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ R_max               : num [1:12] 7.38e+11 4.10e+11 1.05e+13 1.11e+12 1.12e+10 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ sel_func            : chr [1:12] "knife_edge" "knife_edge" "knife_edge" "knife_edge" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ knife_edge_size     : int [1:12] 13 4 23 99 21 75 78 39 105 165 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ catchability        : num [1:12] 1 1 1 1 1 1 1 1 1 1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ p                   : num [1:12] 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ q                   : num [1:12] 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ n                   : num [1:12] 0.667 0.667 0.667 0.667 0.667 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ f0                  : num [1:12] 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ interaction_resource: num [1:12] 1 1 1 1 1 1 1 1 1 1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ w_inf               : num [1:12] 33 36 100 334 324 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ interaction            : num [1:12, 1:12] 0.7291 0.0341 0.0635 0.2742 0.3624 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ predator: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ prey    : chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ gear_params            :'data.frame':	12 obs. of  5 variables:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ gear           : chr [1:12] "Industrial" "Industrial" "Industrial" "Pelagic" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ species        : chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ sel_func       : chr [1:12] "knife_edge" "knife_edge" "knife_edge" "knife_edge" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ knife_edge_size: int [1:12] 13 4 23 99 21 75 78 39 105 165 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ catchability   : num [1:12] 1 1 1 1 1 1 1 1 1 1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ selectivity            : num [1:4, 1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 3</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ gear: chr [1:4] "Industrial" "Pelagic" "Beam" "Otter"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp  : chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ w   : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ catchability           : num [1:4, 1:12] 1 0 0 0 1 0 0 0 1 0 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ gear: chr [1:4] "Industrial" "Pelagic" "Beam" "Otter"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp  : chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ initial_effort         : Named num [1:4] 0 1 0.5 0.5</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "names")= chr [1:4] "Industrial" "Pelagic" "Beam" "Otter"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ A                      : num [1:12] 1 1 1 1 1 1 1 1 1 1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ linecolour             : Named chr [1:17] "#815f00" "#6237e2" "#8da600" "#de53ff" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "names")= chr [1:17] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ linetype               : Named chr [1:16] "solid" "solid" "solid" "solid" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "names")= chr [1:16] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ ft_mask                : logi [1:12, 1:226] TRUE TRUE TRUE TRUE TRUE TRUE ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ use_predation_diffusion: logi FALSE</span>
 <span class="r-in"><span><span class="co"># With constant fishing effort for all gears for 20 time steps</span></span></span>
 <span class="r-in"><span><span class="va">sim</span> <span class="op">&lt;-</span> <span class="fu"><a href="project.html">project</a></span><span class="op">(</span><span class="va">params</span>, t_max <span class="op">=</span> <span class="fl">20</span>, effort <span class="op">=</span> <span class="fl">0.5</span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="co"># Get predation mortality at one time step</span></span></span>
@@ -180,9 +376,9 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/utils/str.html" class="external-link">str</a></span><span class="op">(</span><span class="va">M2</span><span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>  num [1:21, 1:12, 1:100] 3.64 3.42 3.29 3.2 3.16 ...</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>  - attr(*, "dimnames")=List of 3</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   ..$ time  : chr [1:21] "0" "1" "2" "3" ...</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   ..$ prey  : chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   ..$ w_prey: chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   ..$ time: chr [1:21] "0" "1" "2" "3" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   ..$ sp  : chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   ..$ w   : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span>
 <span class="r-in"><span><span class="co"># Get predation mortality over the years 15 - 20</span></span></span>
 <span class="r-in"><span><span class="va">M2</span> <span class="op">&lt;-</span> <span class="fu"><a href="getPredMort.html">getPredMort</a></span><span class="op">(</span><span class="va">sim</span>, time_range <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">15</span>, <span class="fl">20</span><span class="op">)</span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="co"># }</span></span></span>
diff --git a/docs/reference/getM2Background.html b/docs/reference/getM2Background.html
index ba74f1bfd..6ce9b8fe3 100644
--- a/docs/reference/getM2Background.html
+++ b/docs/reference/getM2Background.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Alias for getResourceMort() — getM2Background"><meta name="description" content="
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Alias for getResourceMort() — getM2Background"><meta name="description" content="
 An alias provided for backward compatibility with mizer version &amp;lt;= 1.0"><meta property="og:description" content="
 An alias provided for backward compatibility with mizer version &amp;lt;= 1.0"><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
@@ -15,7 +15,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -36,13 +36,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -52,7 +60,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -142,6 +151,7 @@ <h2 id="your-own-resource-mortality-function">Your own resource mortality functi
     <div class="section level2">
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
     <div class="dont-index"><p>Other rate functions:
+<code><a href="getDiffusion.html">getDiffusion()</a></code>,
 <code><a href="getEGrowth.html">getEGrowth()</a></code>,
 <code><a href="getERepro.html">getERepro()</a></code>,
 <code><a href="getEReproAndGrowth.html">getEReproAndGrowth()</a></code>,
@@ -149,6 +159,7 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
 <code><a href="getFMort.html">getFMort()</a></code>,
 <code><a href="getFMortGear.html">getFMortGear()</a></code>,
 <code><a href="getFeedingLevel.html">getFeedingLevel()</a></code>,
+<code><a href="getFlux.html">getFlux()</a></code>,
 <code><a href="getMort.html">getMort()</a></code>,
 <code><a href="getPredMort.html">getPredMort()</a></code>,
 <code><a href="getPredRate.html">getPredRate()</a></code>,
diff --git a/docs/reference/getMeanMaxWeight.html b/docs/reference/getMeanMaxWeight.html
index f84a199a7..28e04ff9b 100644
--- a/docs/reference/getMeanMaxWeight.html
+++ b/docs/reference/getMeanMaxWeight.html
@@ -5,19 +5,19 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Calculate the mean maximum weight of the community — getMeanMaxWeight"><meta name="description" content="Calculates the mean maximum weight of the community through time. This can be
-calculated by numbers or biomass. The calculation is the sum of the w_max *
-abundance of each species, divided by the total abundance community, where
-abundance is either in biomass or numbers. You can specify minimum and
-maximum weight or length range for the species. Lengths take precedence over
-weights (i.e. if both min_l and min_w are supplied, only min_l will be used).
-You can also specify the species to be used in the calculation."><meta property="og:description" content="Calculates the mean maximum weight of the community through time. This can be
-calculated by numbers or biomass. The calculation is the sum of the w_max *
-abundance of each species, divided by the total abundance community, where
-abundance is either in biomass or numbers. You can specify minimum and
-maximum weight or length range for the species. Lengths take precedence over
-weights (i.e. if both min_l and min_w are supplied, only min_l will be used).
-You can also specify the species to be used in the calculation."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Calculate the mean maximum weight of the community — getMeanMaxWeight"><meta name="description" content="Calculates the mean maximum weight of the community. This can be calculated
+by numbers or biomass. The calculation is the sum of the w_max * abundance
+of each species, divided by the total abundance community, where abundance is
+either in biomass or numbers. You can specify minimum and maximum weight or
+length range for the species. Lengths take precedence over weights (i.e. if
+both min_l and min_w are supplied, only min_l will be used). You can also
+specify the species to be used in the calculation."><meta property="og:description" content="Calculates the mean maximum weight of the community. This can be calculated
+by numbers or biomass. The calculation is the sum of the w_max * abundance
+of each species, divided by the total abundance community, where abundance is
+either in biomass or numbers. You can specify minimum and maximum weight or
+length range for the species. Lengths take precedence over weights (i.e. if
+both min_l and min_w are supplied, only min_l will be used). You can also
+specify the species to be used in the calculation."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
 
 
@@ -25,7 +25,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -46,13 +46,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -62,7 +70,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -81,18 +90,18 @@
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Calculate the mean maximum weight of the community</h1>
-      <small class="dont-index">Source: <a href="https://github.com/sizespectrum/mizer/blob/HEAD/R/summary_methods.R" class="external-link"><code>R/summary_methods.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/sizespectrum/mizer/blob/HEAD/R/indicator_functions.R" class="external-link"><code>R/indicator_functions.R</code></a></small>
       <div class="d-none name"><code>getMeanMaxWeight.Rd</code></div>
     </div>
 
     <div class="ref-description section level2">
-    <p>Calculates the mean maximum weight of the community through time. This can be
-calculated by numbers or biomass. The calculation is the sum of the w_max *
-abundance of each species, divided by the total abundance community, where
-abundance is either in biomass or numbers. You can specify minimum and
-maximum weight or length range for the species. Lengths take precedence over
-weights (i.e. if both min_l and min_w are supplied, only min_l will be used).
-You can also specify the species to be used in the calculation.</p>
+    <p>Calculates the mean maximum weight of the community. This can be calculated
+by numbers or biomass. The calculation is the sum of the w_max * abundance
+of each species, divided by the total abundance community, where abundance is
+either in biomass or numbers. You can specify minimum and maximum weight or
+length range for the species. Lengths take precedence over weights (i.e. if
+both min_l and min_w are supplied, only min_l will be used). You can also
+specify the species to be used in the calculation.</p>
     </div>
 
     <div class="section level2">
@@ -105,7 +114,7 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 
 
 <dl><dt id="arg-sim">sim<a class="anchor" aria-label="anchor" href="#arg-sim"></a></dt>
-<dd><p>A <a href="MizerSim-class.html">MizerSim</a> object</p></dd>
+<dd><p>A <a href="MizerSim-class.html">MizerSim</a> or <a href="MizerParams-class.html">MizerParams</a> object</p></dd>
 
 
 <dt id="arg-species">species<a class="anchor" aria-label="anchor" href="#arg-species"></a></dt>
@@ -143,10 +152,11 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
     <p>Depends on the <code>measure</code> argument. If <code>measure = “both”</code>
-  then you get a matrix with two columns, one with values by numbers, the
-other with values by biomass at each saved time step. If <code>measure =
-  “numbers”</code> or <code>“biomass”</code> you get a vector of the respective values at
-each saved time step.</p>
+  then you get a matrix with two columns, one with values by numbers,
+the other with values by biomass at each saved time step (or a named
+vector with two entries for <code>MizerParams</code>). If <code>measure =
+  “numbers”</code> or <code>“biomass”</code> you get a vector of the respective values
+at each saved time step (or a single value for <code>MizerParams</code>).</p>
     </div>
     <div class="section level2">
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
@@ -166,12 +176,15 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> 2010    2716.657    7940.787</span>
 <span class="r-in"><span><span class="fu">getMeanMaxWeight</span><span class="op">(</span><span class="va">NS_sim</span>, species<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"Herring"</span>,<span class="st">"Sprat"</span>,<span class="st">"N.pout"</span><span class="op">)</span><span class="op">)</span><span class="op">[</span><span class="va">years</span>, <span class="op">]</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>      mmw_numbers mmw_biomass</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 1967    12.68424    20.07675</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 2010    10.46315    22.66197</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 1967    121.2163    226.2291</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 2010    122.7208    222.6168</span>
 <span class="r-in"><span><span class="fu">getMeanMaxWeight</span><span class="op">(</span><span class="va">NS_sim</span>, min_w <span class="op">=</span> <span class="fl">10</span>, max_w <span class="op">=</span> <span class="fl">5000</span><span class="op">)</span><span class="op">[</span><span class="va">years</span>, <span class="op">]</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>      mmw_numbers mmw_biomass</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> 1967    1313.207    3444.342</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> 2010    2316.711    6742.697</span>
+<span class="r-in"><span><span class="fu">getMeanMaxWeight</span><span class="op">(</span><span class="va">NS_params</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> mmw_numbers mmw_biomass </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>    2335.168    4583.528 </span>
 </code></pre></div>
     </div>
   </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
diff --git a/docs/reference/getMeanWeight.html b/docs/reference/getMeanWeight.html
index 896700a0d..6c1a4497d 100644
--- a/docs/reference/getMeanWeight.html
+++ b/docs/reference/getMeanWeight.html
@@ -5,13 +5,13 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Calculate the mean weight of the community — getMeanWeight"><meta name="description" content="Calculates the mean weight of the community through time. This is simply the
-total biomass of the community divided by the abundance in numbers. You can
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Calculate the mean weight of the community — getMeanWeight"><meta name="description" content="Calculates the mean weight of the community. This is simply the total
+biomass of the community divided by the abundance in numbers. You can
 specify minimum and maximum weight or length range for the species. Lengths
 take precedence over weights (i.e. if both min_l and min_w are supplied, only
 min_l will be used). You can also specify the species to be used in the
-calculation."><meta property="og:description" content="Calculates the mean weight of the community through time. This is simply the
-total biomass of the community divided by the abundance in numbers. You can
+calculation."><meta property="og:description" content="Calculates the mean weight of the community. This is simply the total
+biomass of the community divided by the abundance in numbers. You can
 specify minimum and maximum weight or length range for the species. Lengths
 take precedence over weights (i.e. if both min_l and min_w are supplied, only
 min_l will be used). You can also specify the species to be used in the
@@ -23,7 +23,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -44,13 +44,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -60,7 +68,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -79,13 +88,13 @@
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Calculate the mean weight of the community</h1>
-      <small class="dont-index">Source: <a href="https://github.com/sizespectrum/mizer/blob/HEAD/R/summary_methods.R" class="external-link"><code>R/summary_methods.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/sizespectrum/mizer/blob/HEAD/R/indicator_functions.R" class="external-link"><code>R/indicator_functions.R</code></a></small>
       <div class="d-none name"><code>getMeanWeight.Rd</code></div>
     </div>
 
     <div class="ref-description section level2">
-    <p>Calculates the mean weight of the community through time. This is simply the
-total biomass of the community divided by the abundance in numbers. You can
+    <p>Calculates the mean weight of the community. This is simply the total
+biomass of the community divided by the abundance in numbers. You can
 specify minimum and maximum weight or length range for the species. Lengths
 take precedence over weights (i.e. if both min_l and min_w are supplied, only
 min_l will be used). You can also specify the species to be used in the
@@ -102,7 +111,7 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 
 
 <dl><dt id="arg-sim">sim<a class="anchor" aria-label="anchor" href="#arg-sim"></a></dt>
-<dd><p>A <a href="MizerSim-class.html">MizerSim</a> object</p></dd>
+<dd><p>A <a href="MizerSim-class.html">MizerSim</a> or <a href="MizerParams-class.html">MizerParams</a> object</p></dd>
 
 
 <dt id="arg-species">species<a class="anchor" aria-label="anchor" href="#arg-species"></a></dt>
@@ -135,7 +144,8 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    <p>A vector containing the mean weight of the community through time</p>
+    <p>A vector containing the mean weight of the community through time,
+or a single value if called with a <code>MizerParams</code> object.</p>
     </div>
     <div class="section level2">
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
@@ -158,6 +168,8 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-in"><span><span class="fu">getMeanWeight</span><span class="op">(</span><span class="va">NS_sim</span>, min_w <span class="op">=</span> <span class="fl">10</span>, max_w <span class="op">=</span> <span class="fl">5000</span><span class="op">)</span><span class="op">[</span><span class="va">years</span><span class="op">]</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>     1967     2010 </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> 36.12859 50.54693 </span>
+<span class="r-in"><span><span class="fu">getMeanWeight</span><span class="op">(</span><span class="va">NS_params</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 1.174164</span>
 </code></pre></div>
     </div>
   </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
diff --git a/docs/reference/getMort.html b/docs/reference/getMort.html
index f7cb162a3..8eea192ec 100644
--- a/docs/reference/getMort.html
+++ b/docs/reference/getMort.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get total mortality rate — getMort"><meta name="description" content="Calculates the total mortality rate \(\mu_i(w)\)  (in units 1/year) on each
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get total mortality rate — getMort"><meta name="description" content="Calculates the total mortality rate \(\mu_i(w)\)  (in units 1/year) on each
 species by size from predation mortality, background mortality and fishing
 mortality for a single time step."><meta property="og:description" content="Calculates the total mortality rate \(\mu_i(w)\)  (in units 1/year) on each
 species by size from predation mortality, background mortality and fishing
@@ -17,7 +17,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -38,13 +38,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -54,7 +62,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -134,7 +143,7 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    <p>A two dimensional array (prey species x prey size).</p>
+    <p>An <code>ArraySpeciesBySize</code> object (species x size) with the total mortality rates.</p>
     </div>
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
@@ -159,6 +168,7 @@ <h2 id="your-own-mortality-function">Your own mortality function<a class="anchor
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
     <div class="dont-index"><p><code><a href="getPredMort.html">getPredMort()</a></code>, <code><a href="getFMort.html">getFMort()</a></code></p>
 <p>Other rate functions:
+<code><a href="getDiffusion.html">getDiffusion()</a></code>,
 <code><a href="getEGrowth.html">getEGrowth()</a></code>,
 <code><a href="getERepro.html">getERepro()</a></code>,
 <code><a href="getEReproAndGrowth.html">getEReproAndGrowth()</a></code>,
@@ -166,6 +176,7 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
 <code><a href="getFMort.html">getFMort()</a></code>,
 <code><a href="getFMortGear.html">getFMortGear()</a></code>,
 <code><a href="getFeedingLevel.html">getFeedingLevel()</a></code>,
+<code><a href="getFlux.html">getFlux()</a></code>,
 <code><a href="getPredMort.html">getPredMort()</a></code>,
 <code><a href="getPredRate.html">getPredRate()</a></code>,
 <code><a href="getRDD.html">getRDD()</a></code>,
diff --git a/docs/reference/getN.html b/docs/reference/getN.html
index 8dc000cde..75292f509 100644
--- a/docs/reference/getN.html
+++ b/docs/reference/getN.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Calculate the number of individuals within a size range — getN"><meta name="description" content="Calculates the number of individuals within user-defined size limits. The
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Calculate the number of individuals within a size range — getN"><meta name="description" content="Calculates the number of individuals within user-defined size limits. The
 default option is to use the whole size range. You can specify minimum and
 maximum weight or lengths for the species. Lengths take precedence over
 weights (i.e. if both min_l and min_w are supplied, only min_l will be used)"><meta property="og:description" content="Calculates the number of individuals within user-defined size limits. The
@@ -19,7 +19,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -40,13 +40,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -56,7 +64,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -122,9 +131,10 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    <p>If called with a MizerParams object, a vector with the numbers for
-each species in the model. If called with a MizerSim object, an array (time
-x species) containing the numbers at each time step for all species.</p>
+    <p>If called with a MizerParams object, a named vector with the numbers
+for each species in the model. If called with a MizerSim object, a
+<code>ArraySpeciesByTime</code> object (time x species) containing the numbers at
+each time step for all species.</p>
     </div>
     <div class="section level2">
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
@@ -133,6 +143,8 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
 <code><a href="getDiet.html">getDiet()</a></code>,
 <code><a href="getGrowthCurves.html">getGrowthCurves()</a></code>,
 <code><a href="getSSB.html">getSSB()</a></code>,
+<code><a href="getTrophicLevel.html">getTrophicLevel()</a></code>,
+<code><a href="getTrophicLevelBySpecies.html">getTrophicLevelBySpecies()</a></code>,
 <code><a href="getYield.html">getYield()</a></code>,
 <code><a href="getYieldGear.html">getYieldGear()</a></code></p></div>
     </div>
diff --git a/docs/reference/getParams.html b/docs/reference/getParams.html
index 3dace4d73..59de55706 100644
--- a/docs/reference/getParams.html
+++ b/docs/reference/getParams.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Extract the parameter object underlying a simulation — getParams"><meta name="description" content="Extract the parameter object underlying a simulation"><meta property="og:description" content="Extract the parameter object underlying a simulation"><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Extract the parameter object underlying a simulation — getParams"><meta name="description" content="Extract the parameter object underlying a simulation"><meta property="og:description" content="Extract the parameter object underlying a simulation"><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
 
 
@@ -13,7 +13,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -34,13 +34,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -50,7 +58,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -101,7 +110,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-in"><span><span class="co"># simulation</span></span></span>
 <span class="r-in"><span><span class="va">sim</span> <span class="op">&lt;-</span> <span class="fu"><a href="project.html">project</a></span><span class="op">(</span><span class="va">NS_params</span>, t_max <span class="op">=</span> <span class="fl">1</span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/identical.html" class="external-link">identical</a></span><span class="op">(</span><span class="fu">getParams</span><span class="op">(</span><span class="va">sim</span><span class="op">)</span>, <span class="va">NS_params</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [1] TRUE</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [1] FALSE</span>
 </code></pre></div>
     </div>
   </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
diff --git a/docs/reference/getPhiPrey.html b/docs/reference/getPhiPrey.html
index 87968d50c..f051f2013 100644
--- a/docs/reference/getPhiPrey.html
+++ b/docs/reference/getPhiPrey.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get available energy — getPhiPrey"><meta name="description" content="
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get available energy — getPhiPrey"><meta name="description" content="
 This is deprecated and is no longer used by the mizer project() method.
 Calculates the amount \(E_{a,i}(w)\) of food exposed to each predator as
 a function of predator size."><meta property="og:description" content="
@@ -19,7 +19,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -40,13 +40,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -56,7 +64,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -113,7 +122,8 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    <p>A two dimensional array (predator species x predator size)</p>
+    <p>A two dimensional array (predator species x predator size)
+equal to <code>getEncounter(object, n, n_pp) / getSearchVolume(object)</code>.</p>
     </div>
     <div class="section level2">
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
diff --git a/docs/reference/getPredMort.html b/docs/reference/getPredMort.html
index 38e4c87a9..99370ef94 100644
--- a/docs/reference/getPredMort.html
+++ b/docs/reference/getPredMort.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get total predation mortality rate — getPredMort"><meta name="description" content="Calculates the total predation mortality rate \(\mu_{p,i}(w_p)\) (in units
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get total predation mortality rate — getPredMort"><meta name="description" content="Calculates the total predation mortality rate \(\mu_{p,i}(w_p)\) (in units
 of 1/year) on each prey species by prey size:
 $$\mu_{p.i}(w_p) = \sum_j {\tt pred\_rate}_j(w_p)\, \theta_{ji}.$$
 The predation rate pred_rate is returned by getPredRate()."><meta property="og:description" content="Calculates the total predation mortality rate \(\mu_{p,i}(w_p)\) (in units
@@ -19,7 +19,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -40,13 +40,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -56,7 +64,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -113,9 +122,9 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 
 
 <dt id="arg-time-range">time_range<a class="anchor" aria-label="anchor" href="#arg-time-range"></a></dt>
-<dd><p>A vector of times. Only the range of times is relevant,
-i.e., all times between the smallest and largest will be selected.
-The time_range can be character or numeric.</p></dd>
+<dd><p>A numeric or character vector of times. Only the range of
+values matters, so all saved times between <code>min(time_range)</code> and
+<code>max(time_range)</code> are selected.</p></dd>
 
 
 <dt id="arg-drop">drop<a class="anchor" aria-label="anchor" href="#arg-drop"></a></dt>
@@ -129,12 +138,12 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    <p>If a <code>MizerParams</code> object is passed in, the function returns a two
-dimensional array (prey species x prey size) based on the abundances also
-passed in. If a <code>MizerSim</code> object is passed in, the function returns a
-three dimensional array (time step x prey species x prey size) with the
-predation mortality calculated at every time step in the simulation.
-Dimensions may be dropped if they have length 1 unless <code>drop = FALSE</code>.</p>
+    <p>If a <code>MizerParams</code> object is passed in, returns an <code>ArraySpeciesBySize</code> object
+(prey species x prey size) with the predation mortality rates.
+If a <code>MizerSim</code> object is passed in, returns a three-dimensional array
+(time step x prey species x prey size) with the predation mortality at
+every time step. Dimensions may be dropped if they have length 1 unless
+<code>drop = FALSE</code>.</p>
     </div>
     <div class="section level2">
     <h2 id="your-own-predation-mortality-function">Your own predation mortality function<a class="anchor" aria-label="anchor" href="#your-own-predation-mortality-function"></a></h2>
@@ -151,6 +160,7 @@ <h2 id="your-own-predation-mortality-function">Your own predation mortality func
     <div class="section level2">
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
     <div class="dont-index"><p>Other rate functions:
+<code><a href="getDiffusion.html">getDiffusion()</a></code>,
 <code><a href="getEGrowth.html">getEGrowth()</a></code>,
 <code><a href="getERepro.html">getERepro()</a></code>,
 <code><a href="getEReproAndGrowth.html">getEReproAndGrowth()</a></code>,
@@ -158,6 +168,7 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
 <code><a href="getFMort.html">getFMort()</a></code>,
 <code><a href="getFMortGear.html">getFMortGear()</a></code>,
 <code><a href="getFeedingLevel.html">getFeedingLevel()</a></code>,
+<code><a href="getFlux.html">getFlux()</a></code>,
 <code><a href="getMort.html">getMort()</a></code>,
 <code><a href="getPredRate.html">getPredRate()</a></code>,
 <code><a href="getRDD.html">getRDD()</a></code>,
@@ -173,10 +184,195 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-in"><span><span class="co"># Predation mortality in initial state</span></span></span>
 <span class="r-in"><span><span class="va">M2</span> <span class="op">&lt;-</span> <span class="fu">getPredMort</span><span class="op">(</span><span class="va">params</span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/utils/str.html" class="external-link">str</a></span><span class="op">(</span><span class="va">M2</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  num [1:12, 1:100] 3.64 4.43 4.31 4.89 4.8 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  'ArraySpeciesBySize' num [1:12, 1:100] 3.64 4.43 4.31 4.89 4.8 ...</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>  - attr(*, "dimnames")=List of 2</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   ..$ prey  : chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   ..$ w_prey: chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   ..$ w : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  - attr(*, "value_name")= chr "Predation mortality"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  - attr(*, "units")= chr "1/year"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  - attr(*, "params")=Formal class 'MizerParams' [package "mizer"] with 46 slots</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ metadata               : list()</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ mizer_version          :Classes 'package_version', 'numeric_version'  hidden list of 1</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ : int [1:4] 2 5 4 9123</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ extensions             : chr(0) </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ time_created           : POSIXct[1:1], format: "2021-09-03 20:29:38"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ time_modified          : POSIXct[1:1], format: "2026-04-12 11:31:45"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ w                      : num [1:100] 0.001 0.00119 0.00142 0.0017 0.00203 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ dw                     : num [1:100] 0.000193 0.000231 0.000275 0.000329 0.000392 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ w_full                 : num [1:226] 2.12e-13 2.53e-13 3.02e-13 3.61e-13 4.30e-13 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ dw_full                : num [1:226] 4.10e-14 4.90e-14 5.84e-14 6.97e-14 8.32e-14 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ w_min_idx              : Named num [1:12] 1 1 1 1 1 1 1 1 1 1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "names")= chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ maturity               : num [1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ w : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ psi                    : num [1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ w : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ initial_n              : num [1:12, 1:100] 1.84e+13 6.86e+12 1.44e+14 1.45e+13 1.71e+11 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ w : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ intake_max             : num [1:12, 1:100] 0.182 0.275 0.328 0.35 0.307 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ w : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ search_vol             : num [1:12, 1:100] 1.27e-13 6.00e-14 3.44e-13 4.49e-14 1.86e-13 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ w : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ metab                  : num [1:12, 1:100] 0.0289 0.0437 0.0522 0.0557 0.0487 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ w : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ pred_kernel            : logi [1(1d)] NA</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ ft_pred_kernel_e       : cplx [1:12, 1:226] 11.3+0i 26.9+0i 20.8+0i ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ k : chr [1:226] "1" "2" "3" "4" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ ft_pred_kernel_p       : cplx [1:12, 1:226] 11.3+0i 26.9+0i 20.8+0i ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ k : chr [1:226] "1" "2" "3" "4" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ mu_b                   : num [1:12, 1:100] 0.1871 0.1817 0.1293 0.0865 0.0874 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ w : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ ext_encounter          : num [1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ w : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ ext_diffusion          : num [1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ w : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ rr_pp                  : Named num [1:226] 167660 158066 149021 140494 132455 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "names")= chr [1:226] "2.12e-13" "2.53e-13" "3.02e-13" "3.61e-13" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ cc_pp                  : Named num [1:226] 1.09e+38 7.46e+37 5.11e+37 3.51e+37 2.41e+37 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "names")= chr [1:226] "2.12e-13" "2.53e-13" "3.02e-13" "3.61e-13" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ resource_dynamics      : chr "resource_semichemostat"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ resource_params        :List of 5</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ kappa      : num 1e+11</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ lambda     : num 2.13</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ r_pp       : num 10</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ n          : num 0.667</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ w_pp_cutoff: num 9.82</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ other_dynamics         : list()</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ other_params           : list()</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ other_encounter        : list()</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ other_mort             : list()</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ rates_funcs            :List of 14</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ Rates          : chr "mizerRates"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ Encounter      : chr "mizerEncounter"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ FeedingLevel   : chr "mizerFeedingLevel"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ EReproAndGrowth: chr "mizerEReproAndGrowth"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ PredRate       : chr "mizerPredRate"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ PredMort       : chr "mizerPredMort"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ FMort          : chr "mizerFMort"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ Mort           : chr "mizerMort"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ ERepro         : chr "mizerERepro"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ EGrowth        : chr "mizerEGrowth"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ ResourceMort   : chr "mizerResourceMort"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ RDI            : chr "mizerRDI"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ RDD            : chr "BevertonHoltRDD"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ Diffusion      : chr "mizerDiffusion"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ sc                     : num [1:100] 0.001 0.00119 0.00142 0.0017 0.00203 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ initial_n_pp           : Named num [1:226] 1.09e+38 7.46e+37 5.11e+37 3.51e+37 2.41e+37 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "names")= chr [1:226] "2.12e-13" "2.53e-13" "3.02e-13" "3.61e-13" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ initial_n_other        : list()</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ species_params         :'data.frame':	12 obs. of  34 variables:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ species             : chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ w_max               : num [1:12] 33 36 100 334 324 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ w_mat               : int [1:12] 13 4 23 99 21 75 78 39 105 165 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ beta                : int [1:12] 51076 398849 22 280540 191 22 381 283 113 558 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ sigma               : num [1:12] 0.8 1.9 1.5 3.2 1.9 1.5 1.9 1.8 1.6 2.1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ k_vb                : num [1:12] 0.681 1 0.849 0.606 0.536 0.323 0.284 0.266 0.122 0.271 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ gear                : chr [1:12] "Industrial" "Industrial" "Industrial" "Pelagic" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ w_min               : num [1:12] 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ alpha               : num [1:12] 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ pred_kernel_type    : chr [1:12] "lognormal" "lognormal" "lognormal" "lognormal" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ h                   : num [1:12] 18.2 27.5 32.8 35 30.7 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ k                   : num [1:12] 0 0 0 0 0 0 0 0 0 0 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ ks                  : num [1:12] 3.64 5.5 6.57 7.01 6.14 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ z0                  : num [1:12] 0.1871 0.1817 0.1293 0.0865 0.0874 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ gamma               : num [1:12] 3.20e-11 1.51e-11 8.63e-11 1.13e-11 4.67e-11 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ m                   : num [1:12] 1 1 1 1 1 1 1 1 1 1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ erepro              : num [1:12] 1 1 1 1 1 1 1 1 1 1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ R_max               : num [1:12] 7.38e+11 4.10e+11 1.05e+13 1.11e+12 1.12e+10 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ sel_func            : chr [1:12] "knife_edge" "knife_edge" "knife_edge" "knife_edge" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ knife_edge_size     : int [1:12] 13 4 23 99 21 75 78 39 105 165 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ catchability        : num [1:12] 1 1 1 1 1 1 1 1 1 1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ p                   : num [1:12] 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ q                   : num [1:12] 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ n                   : num [1:12] 0.667 0.667 0.667 0.667 0.667 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ f0                  : num [1:12] 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ interaction_resource: num [1:12] 1 1 1 1 1 1 1 1 1 1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ w_inf               : num [1:12] 33 36 100 334 324 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ w_mat25             : num [1:12] 11.65 3.58 20.61 88.7 18.82 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ w_repro_max         : num [1:12] 33 36 100 334 324 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ is_background       : logi [1:12] FALSE FALSE FALSE FALSE FALSE FALSE ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ z_ext               : num [1:12] 0 0 0 0 0 0 0 0 0 0 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ d                   : num [1:12] -0.333 -0.333 -0.333 -0.333 -0.333 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ E_ext               : num [1:12] 0 0 0 0 0 0 0 0 0 0 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ D_ext               : num [1:12] 0 0 0 0 0 0 0 0 0 0 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ given_species_params   :'data.frame':	12 obs. of  27 variables:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ species             : chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ w_max               : num [1:12] 33 36 100 334 324 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ w_mat               : int [1:12] 13 4 23 99 21 75 78 39 105 165 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ beta                : int [1:12] 51076 398849 22 280540 191 22 381 283 113 558 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ sigma               : num [1:12] 0.8 1.9 1.5 3.2 1.9 1.5 1.9 1.8 1.6 2.1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ k_vb                : num [1:12] 0.681 1 0.849 0.606 0.536 0.323 0.284 0.266 0.122 0.271 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ gear                : chr [1:12] "Industrial" "Industrial" "Industrial" "Pelagic" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ w_min               : num [1:12] 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ alpha               : num [1:12] 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ pred_kernel_type    : chr [1:12] "lognormal" "lognormal" "lognormal" "lognormal" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ h                   : num [1:12] 18.2 27.5 32.8 35 30.7 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ k                   : num [1:12] 0 0 0 0 0 0 0 0 0 0 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ ks                  : num [1:12] 3.64 5.5 6.57 7.01 6.14 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ z0                  : num [1:12] 0.1871 0.1817 0.1293 0.0865 0.0874 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ gamma               : num [1:12] 3.20e-11 1.51e-11 8.63e-11 1.13e-11 4.67e-11 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ m                   : num [1:12] 1 1 1 1 1 1 1 1 1 1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ erepro              : num [1:12] 1 1 1 1 1 1 1 1 1 1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ R_max               : num [1:12] 7.38e+11 4.10e+11 1.05e+13 1.11e+12 1.12e+10 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ sel_func            : chr [1:12] "knife_edge" "knife_edge" "knife_edge" "knife_edge" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ knife_edge_size     : int [1:12] 13 4 23 99 21 75 78 39 105 165 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ catchability        : num [1:12] 1 1 1 1 1 1 1 1 1 1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ p                   : num [1:12] 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ q                   : num [1:12] 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ n                   : num [1:12] 0.667 0.667 0.667 0.667 0.667 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ f0                  : num [1:12] 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ interaction_resource: num [1:12] 1 1 1 1 1 1 1 1 1 1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ w_inf               : num [1:12] 33 36 100 334 324 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ interaction            : num [1:12, 1:12] 0.7291 0.0341 0.0635 0.2742 0.3624 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ predator: chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ prey    : chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ gear_params            :'data.frame':	12 obs. of  5 variables:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ gear           : chr [1:12] "Industrial" "Industrial" "Industrial" "Pelagic" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ species        : chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ sel_func       : chr [1:12] "knife_edge" "knife_edge" "knife_edge" "knife_edge" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ knife_edge_size: int [1:12] 13 4 23 99 21 75 78 39 105 165 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..$ catchability   : num [1:12] 1 1 1 1 1 1 1 1 1 1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ selectivity            : num [1:4, 1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 3</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ gear: chr [1:4] "Industrial" "Pelagic" "Beam" "Otter"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp  : chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ w   : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ catchability           : num [1:4, 1:12] 1 0 0 0 1 0 0 0 1 0 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "dimnames")=List of 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ gear: chr [1:4] "Industrial" "Pelagic" "Beam" "Otter"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. .. ..$ sp  : chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ initial_effort         : Named num [1:4] 0 1 0.5 0.5</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "names")= chr [1:4] "Industrial" "Pelagic" "Beam" "Otter"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ A                      : num [1:12] 1 1 1 1 1 1 1 1 1 1 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ linecolour             : Named chr [1:17] "#815f00" "#6237e2" "#8da600" "#de53ff" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "names")= chr [1:17] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ linetype               : Named chr [1:16] "solid" "solid" "solid" "solid" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. .. ..- attr(*, "names")= chr [1:16] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ ft_mask                : logi [1:12, 1:226] TRUE TRUE TRUE TRUE TRUE TRUE ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..@ use_predation_diffusion: logi FALSE</span>
 <span class="r-in"><span><span class="co"># With constant fishing effort for all gears for 20 time steps</span></span></span>
 <span class="r-in"><span><span class="va">sim</span> <span class="op">&lt;-</span> <span class="fu"><a href="project.html">project</a></span><span class="op">(</span><span class="va">params</span>, t_max <span class="op">=</span> <span class="fl">20</span>, effort <span class="op">=</span> <span class="fl">0.5</span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="co"># Get predation mortality at one time step</span></span></span>
@@ -186,9 +382,9 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/utils/str.html" class="external-link">str</a></span><span class="op">(</span><span class="va">M2</span><span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>  num [1:21, 1:12, 1:100] 3.64 3.42 3.29 3.2 3.16 ...</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>  - attr(*, "dimnames")=List of 3</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   ..$ time  : chr [1:21] "0" "1" "2" "3" ...</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   ..$ prey  : chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   ..$ w_prey: chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   ..$ time: chr [1:21] "0" "1" "2" "3" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   ..$ sp  : chr [1:12] "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   ..$ w   : chr [1:100] "0.001" "0.00119" "0.00142" "0.0017" ...</span>
 <span class="r-in"><span><span class="co"># Get predation mortality over the years 15 - 20</span></span></span>
 <span class="r-in"><span><span class="va">M2</span> <span class="op">&lt;-</span> <span class="fu">getPredMort</span><span class="op">(</span><span class="va">sim</span>, time_range <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">15</span>, <span class="fl">20</span><span class="op">)</span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="co"># }</span></span></span>
diff --git a/docs/reference/getPredRate.html b/docs/reference/getPredRate.html
index 56281de07..1b401bb25 100644
--- a/docs/reference/getPredRate.html
+++ b/docs/reference/getPredRate.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get predation rate — getPredRate"><meta name="description" content="Calculates the potential rate (in units 1/year) at which a prey individual of
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get predation rate — getPredRate"><meta name="description" content="Calculates the potential rate (in units 1/year) at which a prey individual of
 a given size \(w\) is killed by predators from species \(j\). In formulas
 $${\tt pred\_rate}_j(w_p) = \int \phi_j(w,w_p) (1-f_j(w))
   \gamma_j(w) N_j(w) \, dw.$$
@@ -23,7 +23,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -44,13 +44,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -60,7 +68,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -155,6 +164,7 @@ <h2 id="your-own-predation-rate-function">Your own predation rate function<a cla
     <div class="section level2">
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
     <div class="dont-index"><p>Other rate functions:
+<code><a href="getDiffusion.html">getDiffusion()</a></code>,
 <code><a href="getEGrowth.html">getEGrowth()</a></code>,
 <code><a href="getERepro.html">getERepro()</a></code>,
 <code><a href="getEReproAndGrowth.html">getEReproAndGrowth()</a></code>,
@@ -162,6 +172,7 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
 <code><a href="getFMort.html">getFMort()</a></code>,
 <code><a href="getFMortGear.html">getFMortGear()</a></code>,
 <code><a href="getFeedingLevel.html">getFeedingLevel()</a></code>,
+<code><a href="getFlux.html">getFlux()</a></code>,
 <code><a href="getMort.html">getMort()</a></code>,
 <code><a href="getPredMort.html">getPredMort()</a></code>,
 <code><a href="getRDD.html">getRDD()</a></code>,
diff --git a/docs/reference/getProportionOfLargeFish.html b/docs/reference/getProportionOfLargeFish.html
index 615df04d3..ee74e8bc8 100644
--- a/docs/reference/getProportionOfLargeFish.html
+++ b/docs/reference/getProportionOfLargeFish.html
@@ -5,21 +5,25 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Calculate the proportion of large fish — getProportionOfLargeFish"><meta name="description" content="Calculates the proportion of large fish through time in the MizerSim
-class within user defined size limits. The default option is to use the whole
-size range. You can specify minimum and maximum size ranges for the species
-and also the threshold size for large fish. Sizes can be expressed as weight
-or size. Lengths take precedence over weights (i.e. if both min_l and min_w
-are supplied, only min_l will be used). You can also specify the species to
-be used in the calculation. This function can be used to calculate the Large
-Fish Index. The proportion is based on either abundance or biomass."><meta property="og:description" content="Calculates the proportion of large fish through time in the MizerSim
-class within user defined size limits. The default option is to use the whole
-size range. You can specify minimum and maximum size ranges for the species
-and also the threshold size for large fish. Sizes can be expressed as weight
-or size. Lengths take precedence over weights (i.e. if both min_l and min_w
-are supplied, only min_l will be used). You can also specify the species to
-be used in the calculation. This function can be used to calculate the Large
-Fish Index. The proportion is based on either abundance or biomass."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Calculate the proportion of large fish — getProportionOfLargeFish"><meta name="description" content="Calculates the proportion of large fish in a MizerSim or MizerParams
+object within user defined size limits. The default option is to use the
+whole size range. You can specify minimum and maximum size ranges for the
+species and also the threshold size for large fish. Sizes can be expressed
+as weight or length. Lengths take precedence over weights (i.e. if both
+min_l and min_w are supplied, only min_l will be used, and if
+threshold_l is supplied it takes precedence over threshold_w). You can
+also specify the species to be used in the calculation. This function can be
+used to calculate the Large Fish Index. The proportion is based on either
+abundance or biomass."><meta property="og:description" content="Calculates the proportion of large fish in a MizerSim or MizerParams
+object within user defined size limits. The default option is to use the
+whole size range. You can specify minimum and maximum size ranges for the
+species and also the threshold size for large fish. Sizes can be expressed
+as weight or length. Lengths take precedence over weights (i.e. if both
+min_l and min_w are supplied, only min_l will be used, and if
+threshold_l is supplied it takes precedence over threshold_w). You can
+also specify the species to be used in the calculation. This function can be
+used to calculate the Large Fish Index. The proportion is based on either
+abundance or biomass."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
 
 
@@ -27,7 +31,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -48,13 +52,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -64,7 +76,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -83,19 +96,21 @@
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Calculate the proportion of large fish</h1>
-      <small class="dont-index">Source: <a href="https://github.com/sizespectrum/mizer/blob/HEAD/R/summary_methods.R" class="external-link"><code>R/summary_methods.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/sizespectrum/mizer/blob/HEAD/R/indicator_functions.R" class="external-link"><code>R/indicator_functions.R</code></a></small>
       <div class="d-none name"><code>getProportionOfLargeFish.Rd</code></div>
     </div>
 
     <div class="ref-description section level2">
-    <p>Calculates the proportion of large fish through time in the <code>MizerSim</code>
-class within user defined size limits. The default option is to use the whole
-size range. You can specify minimum and maximum size ranges for the species
-and also the threshold size for large fish. Sizes can be expressed as weight
-or size. Lengths take precedence over weights (i.e. if both min_l and min_w
-are supplied, only min_l will be used). You can also specify the species to
-be used in the calculation. This function can be used to calculate the Large
-Fish Index. The proportion is based on either abundance or biomass.</p>
+    <p>Calculates the proportion of large fish in a <code>MizerSim</code> or <code>MizerParams</code>
+object within user defined size limits. The default option is to use the
+whole size range. You can specify minimum and maximum size ranges for the
+species and also the threshold size for large fish. Sizes can be expressed
+as weight or length. Lengths take precedence over weights (i.e. if both
+<code>min_l</code> and <code>min_w</code> are supplied, only <code>min_l</code> will be used, and if
+<code>threshold_l</code> is supplied it takes precedence over <code>threshold_w</code>). You can
+also specify the species to be used in the calculation. This function can be
+used to calculate the Large Fish Index. The proportion is based on either
+abundance or biomass.</p>
     </div>
 
     <div class="section level2">
@@ -115,7 +130,7 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 
 
 <dl><dt id="arg-sim">sim<a class="anchor" aria-label="anchor" href="#arg-sim"></a></dt>
-<dd><p>A <a href="MizerSim-class.html">MizerSim</a> object</p></dd>
+<dd><p>A <a href="MizerSim-class.html">MizerSim</a> or <a href="MizerParams-class.html">MizerParams</a> object</p></dd>
 
 
 <dt id="arg-species">species<a class="anchor" aria-label="anchor" href="#arg-species"></a></dt>
@@ -126,16 +141,18 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 
 
 <dt id="arg-threshold-w">threshold_w<a class="anchor" aria-label="anchor" href="#arg-threshold-w"></a></dt>
-<dd><p>the size used as the cutoff between large and small fish.
+<dd><p>The weight used as the cutoff between large and small
+fish.
 Default value is 100.</p></dd>
 
 
 <dt id="arg-threshold-l">threshold_l<a class="anchor" aria-label="anchor" href="#arg-threshold-l"></a></dt>
-<dd><p>the size used as the cutoff between large and small fish.</p></dd>
+<dd><p>The length used as the cutoff between large and small
+fish. If supplied, this takes precedence over <code>threshold_w</code>.</p></dd>
 
 
 <dt id="arg-biomass-proportion">biomass_proportion<a class="anchor" aria-label="anchor" href="#arg-biomass-proportion"></a></dt>
-<dd><p>a boolean value. If TRUE the proportion calculated
+<dd><p>A boolean value. If TRUE the proportion calculated
 is based on biomass, if FALSE it is based on numbers of individuals.
 Default is TRUE.</p></dd>
 
@@ -163,7 +180,8 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    <p>A vector containing the proportion of large fish through time</p>
+    <p>A vector containing the proportion of large fish through time, or a
+single value if called with a <code>MizerParams</code> object.</p>
     </div>
     <div class="section level2">
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
@@ -175,7 +193,7 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
 
     <div class="section level2">
     <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="va">lfi</span> <span class="op">&lt;-</span> <span class="fu">getProportionOfLargeFish</span><span class="op">(</span><span class="va">NS_sim</span>, min_w <span class="op">=</span> <span class="fl">10</span>, max_w <span class="op">=</span> <span class="fl">5000</span>, </span></span>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="va">lfi</span> <span class="op">&lt;-</span> <span class="fu">getProportionOfLargeFish</span><span class="op">(</span><span class="va">NS_sim</span>, min_w <span class="op">=</span> <span class="fl">10</span>, max_w <span class="op">=</span> <span class="fl">5000</span>,</span></span>
 <span class="r-in"><span>                                threshold_w <span class="op">=</span> <span class="fl">500</span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="va">years</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"1972"</span>, <span class="st">"2010"</span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="va">lfi</span><span class="op">[</span><span class="va">years</span><span class="op">]</span></span></span>
@@ -194,6 +212,8 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-in"><span>    threshold_w <span class="op">=</span> <span class="fl">500</span>, biomass_proportion <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span><span class="op">[</span><span class="va">years</span><span class="op">]</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>       1972       2010 </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> 0.00441820 0.01212436 </span>
+<span class="r-in"><span><span class="fu">getProportionOfLargeFish</span><span class="op">(</span><span class="va">NS_params</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 2.312485e-07</span>
 </code></pre></div>
     </div>
   </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
diff --git a/docs/reference/getRDD.html b/docs/reference/getRDD.html
index d1e493d06..91eb15e5d 100644
--- a/docs/reference/getRDD.html
+++ b/docs/reference/getRDD.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get density dependent reproduction rate — getRDD"><meta name="description" content="Calculates the density dependent rate of egg production \(R_i\) (units
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get density dependent reproduction rate — getRDD"><meta name="description" content="Calculates the density dependent rate of egg production \(R_i\) (units
 1/year) for each species. This is the flux entering the smallest size class
 of each species. The density dependent rate is the density independent
 rate obtained with getRDI() after it has been put through the
@@ -25,7 +25,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -46,13 +46,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -62,7 +70,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -153,6 +162,7 @@ <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
     <div class="dont-index"><p><code><a href="getRDI.html">getRDI()</a></code></p>
 <p>Other rate functions:
+<code><a href="getDiffusion.html">getDiffusion()</a></code>,
 <code><a href="getEGrowth.html">getEGrowth()</a></code>,
 <code><a href="getERepro.html">getERepro()</a></code>,
 <code><a href="getEReproAndGrowth.html">getEReproAndGrowth()</a></code>,
@@ -160,6 +170,7 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
 <code><a href="getFMort.html">getFMort()</a></code>,
 <code><a href="getFMortGear.html">getFMortGear()</a></code>,
 <code><a href="getFeedingLevel.html">getFeedingLevel()</a></code>,
+<code><a href="getFlux.html">getFlux()</a></code>,
 <code><a href="getMort.html">getMort()</a></code>,
 <code><a href="getPredMort.html">getPredMort()</a></code>,
 <code><a href="getPredRate.html">getPredRate()</a></code>,
diff --git a/docs/reference/getRDI.html b/docs/reference/getRDI.html
index b5472b17b..c3360f33d 100644
--- a/docs/reference/getRDI.html
+++ b/docs/reference/getRDI.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get density independent rate of egg production — getRDI"><meta name="description" content="Calculates the density-independent rate of total egg production
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get density independent rate of egg production — getRDI"><meta name="description" content="Calculates the density-independent rate of total egg production
 \(R_{di}\) (units 1/year) before density dependence, by species."><meta property="og:description" content="Calculates the density-independent rate of total egg production
 \(R_{di}\) (units 1/year) before density dependence, by species."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
@@ -15,7 +15,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -36,13 +36,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -52,7 +60,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -156,6 +165,7 @@ <h2 id="your-own-reproduction-function">Your own reproduction function<a class="
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
     <div class="dont-index"><p><code><a href="getRDD.html">getRDD()</a></code></p>
 <p>Other rate functions:
+<code><a href="getDiffusion.html">getDiffusion()</a></code>,
 <code><a href="getEGrowth.html">getEGrowth()</a></code>,
 <code><a href="getERepro.html">getERepro()</a></code>,
 <code><a href="getEReproAndGrowth.html">getEReproAndGrowth()</a></code>,
@@ -163,6 +173,7 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
 <code><a href="getFMort.html">getFMort()</a></code>,
 <code><a href="getFMortGear.html">getFMortGear()</a></code>,
 <code><a href="getFeedingLevel.html">getFeedingLevel()</a></code>,
+<code><a href="getFlux.html">getFlux()</a></code>,
 <code><a href="getMort.html">getMort()</a></code>,
 <code><a href="getPredMort.html">getPredMort()</a></code>,
 <code><a href="getPredRate.html">getPredRate()</a></code>,
diff --git a/docs/reference/getRates.html b/docs/reference/getRates.html
index d37b505fc..6f1024be6 100644
--- a/docs/reference/getRates.html
+++ b/docs/reference/getRates.html
@@ -5,7 +5,15 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get all rates — getRates"><meta name="description" content="Calls other rate functions in sequence and collects the results in a list."><meta property="og:description" content="Calls other rate functions in sequence and collects the results in a list."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get all rates — getRates"><meta name="description" content="Calls other rate functions in sequence and collects the results in a list.
+projectRates() is an S3 generic used by extension-aware
+projections to calculate all rates. Models without extensions keep using
+mizerRates() directly. The base method mirrors mizerRates() but calls
+migrated projection hooks directly, starting with projectEncounter()."><meta property="og:description" content="Calls other rate functions in sequence and collects the results in a list.
+projectRates() is an S3 generic used by extension-aware
+projections to calculate all rates. Models without extensions keep using
+mizerRates() directly. The base method mirrors mizerRates() but calls
+migrated projection hooks directly, starting with projectEncounter()."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
 
 
@@ -13,7 +21,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -34,13 +42,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -50,7 +66,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -75,6 +92,10 @@
 
     <div class="ref-description section level2">
     <p>Calls other rate functions in sequence and collects the results in a list.</p>
+<p><code><a href="mizerRates.html">projectRates()</a></code> is an S3 generic used by extension-aware
+projections to calculate all rates. Models without extensions keep using
+<code><a href="mizerRates.html">mizerRates()</a></code> directly. The base method mirrors <code><a href="mizerRates.html">mizerRates()</a></code> but calls
+migrated projection hooks directly, starting with <code><a href="mizerEncounter.html">projectEncounter()</a></code>.</p>
     </div>
 
     <div class="section level2">
@@ -149,6 +170,7 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
     <div class="section level2">
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
     <div class="dont-index"><p>Other rate functions:
+<code><a href="getDiffusion.html">getDiffusion()</a></code>,
 <code><a href="getEGrowth.html">getEGrowth()</a></code>,
 <code><a href="getERepro.html">getERepro()</a></code>,
 <code><a href="getEReproAndGrowth.html">getEReproAndGrowth()</a></code>,
@@ -156,6 +178,7 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
 <code><a href="getFMort.html">getFMort()</a></code>,
 <code><a href="getFMortGear.html">getFMortGear()</a></code>,
 <code><a href="getFeedingLevel.html">getFeedingLevel()</a></code>,
+<code><a href="getFlux.html">getFlux()</a></code>,
 <code><a href="getMort.html">getMort()</a></code>,
 <code><a href="getPredMort.html">getPredMort()</a></code>,
 <code><a href="getPredRate.html">getPredRate()</a></code>,
@@ -169,10 +192,11 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
     <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="va">rates</span> <span class="op">&lt;-</span> <span class="fu">getRates</span><span class="op">(</span><span class="va">NS_params</span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/names.html" class="external-link">names</a></span><span class="op">(</span><span class="va">rates</span><span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>  [1] "encounter"     "feeding_level" "e"             "e_repro"      </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  [5] "e_growth"      "pred_rate"     "pred_mort"     "f_mort"       </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  [9] "mort"          "rdi"           "rdd"           "resource_mort"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  [5] "e_growth"      "diffusion"     "pred_rate"     "pred_mort"    </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  [9] "f_mort"        "mort"          "rdi"           "rdd"          </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [13] "resource_mort"</span>
 <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/identical.html" class="external-link">identical</a></span><span class="op">(</span><span class="va">rates</span><span class="op">$</span><span class="va">encounter</span>, <span class="fu"><a href="getEncounter.html">getEncounter</a></span><span class="op">(</span><span class="va">NS_params</span><span class="op">)</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [1] TRUE</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [1] FALSE</span>
 </code></pre></div>
     </div>
   </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
diff --git a/docs/reference/getRegisteredExtensions.html b/docs/reference/getRegisteredExtensions.html
new file mode 100644
index 000000000..37e23f818
--- /dev/null
+++ b/docs/reference/getRegisteredExtensions.html
@@ -0,0 +1,131 @@
+<!DOCTYPE html>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en-GB"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Get the registered mizer extension chain — getRegisteredExtensions • mizer</title><!-- favicons --><link rel="icon" type="image/png" sizes="96x96" href="../favicon-96x96.png"><link rel="icon" type="”image/svg+xml”" href="../favicon.svg"><link rel="apple-touch-icon" sizes="180x180" href="../apple-touch-icon.png"><link rel="icon" sizes="any" href="../favicon.ico"><link rel="manifest" href="../site.webmanifest"><!-- mathjax math --><script src="https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/tex-mml-chtml.js" integrity="sha256-MASABpB4tYktI2Oitl4t+78w/lyA+D7b/s9GEP0JOGI=" crossorigin="anonymous"></script><script>
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+    <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
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+    </button>
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+    <div id="navbar" class="collapse navbar-collapse ms-3">
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/mizer.html">Get started</a></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://mizer.course.sizespectrum.org">Course</a></li>
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+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/model_description.html">The General Mizer Size-spectrum Model</a></li>
+    <li><hr class="dropdown-divider"></li>
+    <li><h6 class="dropdown-header" data-toc-skip>Tutorials</h6></li>
+    <li><a class="dropdown-item" href="../articles/single_species_size-spectrum_dynamics.html">Single-species size-spectrum dynamics</a></li>
+    <li><a class="dropdown-item" href="../articles/community_model.html">The Community Model</a></li>
+    <li><a class="dropdown-item" href="../articles/trait_model.html">The Trait-Based Model</a></li>
+    <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
+    <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
+    <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
+    <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
+    <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
+    <li><hr class="dropdown-divider"></li>
+    <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
+    <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
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+    <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
+    <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
+    <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
+    <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
+    <li><a class="dropdown-item" href="../articles/editing_website.html">Editing the Mizer Website</a></li>
+    <li><hr class="dropdown-divider"></li>
+    <li><a class="dropdown-item" href="../articles/index.html">More articles...</a></li>
+  </ul></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/sizespectrum/mizer/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
+<li class="nav-item dropdown">
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-lightswitch" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true" aria-label="Light switch"><span class="fa fa-sun"></span></button>
+  <ul class="dropdown-menu dropdown-menu-end" aria-labelledby="dropdown-lightswitch"><li><button class="dropdown-item" data-bs-theme-value="light"><span class="fa fa-sun"></span> Light</button></li>
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+  </ul></li>
+      </ul></div>
+
+
+  </div>
+</nav><div class="container template-reference-topic">
+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Get the registered mizer extension chain</h1>
+      <small class="dont-index">Source: <a href="https://github.com/sizespectrum/mizer/blob/HEAD/R/registerExtensions.R" class="external-link"><code>R/registerExtensions.R</code></a></small>
+      <div class="d-none name"><code>getRegisteredExtensions.Rd</code></div>
+    </div>
+
+    <div class="ref-description section level2">
+    <p>Get the registered mizer extension chain</p>
+    </div>
+
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">getRegisteredExtensions</span><span class="op">(</span><span class="op">)</span></span></code></pre></div>
+    </div>
+
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p>A named character vector giving the maximal extension chain
+registered for this R session.</p>
+    </div>
+    <div class="section level2">
+    <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
+    <div class="dont-index"><p>Other extension tools:
+<code><a href="NOther.html">NOther()</a></code>,
+<code><a href="clearExtensionChain.html">clearExtensionChain()</a></code>,
+<code><a href="coerceToExtensionClass.html">coerceToExtensionClass()</a></code>,
+<code><a href="initialNOther-set.html">initialNOther&lt;-()</a></code>,
+<code><a href="registerExtension.html">registerExtension()</a></code>,
+<code><a href="registerExtensions.html">registerExtensions()</a></code>,
+<code><a href="setComponent.html">setComponent()</a></code>,
+<code><a href="setRateFunction.html">setRateFunction()</a></code></p></div>
+    </div>
+
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside></div>
+
+
+    <footer><div class="pkgdown-footer-left">
+  <p>Developed by <a href="https://www.york.ac.uk/maths/staff/gustav-delius/" class="external-link">Gustav Delius</a>, Finlay Scott, <a href="http://www.utas.edu.au/profiles/staff/imas/julia-blanchard" class="external-link">Julia Blanchard</a>, <a href="https://ken.haste.dk/" class="external-link">Ken Andersen</a>.</p>
+</div>
+
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+  </body></html>
+
diff --git a/docs/reference/getReproductionLevel.html b/docs/reference/getReproductionLevel.html
index c805a1a59..746857f72 100644
--- a/docs/reference/getReproductionLevel.html
+++ b/docs/reference/getReproductionLevel.html
@@ -5,10 +5,8 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get reproduction level — getReproductionLevel"><meta name="description" content="
-The reproduction level is the ratio between the density-dependent
-reproduction rate and the maximal reproduction rate."><meta property="og:description" content="
-The reproduction level is the ratio between the density-dependent
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get reproduction level — getReproductionLevel"><meta name="description" content="The reproduction level is the ratio between the density-dependent
+reproduction rate and the maximal reproduction rate."><meta property="og:description" content="The reproduction level is the ratio between the density-dependent
 reproduction rate and the maximal reproduction rate."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
 
@@ -17,7 +15,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -38,13 +36,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -54,7 +60,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -78,8 +85,7 @@
     </div>
 
     <div class="ref-description section level2">
-    <p><a href="https://lifecycle.r-lib.org/articles/stages.html#experimental" class="external-link"><img src="figures/lifecycle-experimental.svg" alt="[Experimental]"></a>
-The reproduction level is the ratio between the density-dependent
+    <p>The reproduction level is the ratio between the density-dependent
 reproduction rate and the maximal reproduction rate.</p>
     </div>
 
diff --git a/docs/reference/get_required_reproduction.html b/docs/reference/getRequiredRDD.html
similarity index 73%
rename from docs/reference/get_required_reproduction.html
rename to docs/reference/getRequiredRDD.html
index cf54906fa..895fc8c32 100644
--- a/docs/reference/get_required_reproduction.html
+++ b/docs/reference/getRequiredRDD.html
@@ -1,11 +1,11 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en-GB"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Determine reproduction rate needed for initial egg abundance — get_required_reproduction • mizer</title><!-- favicons --><link rel="icon" type="image/png" sizes="96x96" href="../favicon-96x96.png"><link rel="icon" type="”image/svg+xml”" href="../favicon.svg"><link rel="apple-touch-icon" sizes="180x180" href="../apple-touch-icon.png"><link rel="icon" sizes="any" href="../favicon.ico"><link rel="manifest" href="../site.webmanifest"><!-- mathjax math --><script src="https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/tex-mml-chtml.js" integrity="sha256-MASABpB4tYktI2Oitl4t+78w/lyA+D7b/s9GEP0JOGI=" crossorigin="anonymous"></script><script>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en-GB"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Determine reproduction rate needed for initial egg abundance — getRequiredRDD • mizer</title><!-- favicons --><link rel="icon" type="image/png" sizes="96x96" href="../favicon-96x96.png"><link rel="icon" type="”image/svg+xml”" href="../favicon.svg"><link rel="apple-touch-icon" sizes="180x180" href="../apple-touch-icon.png"><link rel="icon" sizes="any" href="../favicon.ico"><link rel="manifest" href="../site.webmanifest"><!-- mathjax math --><script src="https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/tex-mml-chtml.js" integrity="sha256-MASABpB4tYktI2Oitl4t+78w/lyA+D7b/s9GEP0JOGI=" crossorigin="anonymous"></script><script>
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     chtml: {
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
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-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Determine reproduction rate needed for initial egg abundance — get_required_reproduction"><meta name="description" content="Determine reproduction rate needed for initial egg abundance"><meta property="og:description" content="Determine reproduction rate needed for initial egg abundance"><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Determine reproduction rate needed for initial egg abundance — getRequiredRDD"><meta name="description" content="Determine reproduction rate needed for initial egg abundance"><meta property="og:description" content="Determine reproduction rate needed for initial egg abundance"><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
 
 
@@ -13,7 +13,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -34,13 +34,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -50,7 +58,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -69,8 +78,8 @@
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Determine reproduction rate needed for initial egg abundance</h1>
-      <small class="dont-index">Source: <a href="https://github.com/sizespectrum/mizer/blob/HEAD/R/wrapper_functions.R" class="external-link"><code>R/wrapper_functions.R</code></a></small>
-      <div class="d-none name"><code>get_required_reproduction.Rd</code></div>
+      <small class="dont-index">Source: <a href="https://github.com/sizespectrum/mizer/blob/HEAD/R/getRequiredRDD.R" class="external-link"><code>R/getRequiredRDD.R</code></a></small>
+      <div class="d-none name"><code>getRequiredRDD.Rd</code></div>
     </div>
 
     <div class="ref-description section level2">
@@ -79,7 +88,7 @@
 
     <div class="section level2">
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">get_required_reproduction</span><span class="op">(</span><span class="va">params</span><span class="op">)</span></span></code></pre></div>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">getRequiredRDD</span><span class="op">(</span><span class="va">params</span><span class="op">)</span></span></code></pre></div>
     </div>
 
     <div class="section level2">
diff --git a/docs/reference/getResourceDynamics.html b/docs/reference/getResourceDynamics.html
index 8a772085d..7d639825b 100644
--- a/docs/reference/getResourceDynamics.html
+++ b/docs/reference/getResourceDynamics.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Deprecated functions for getting resource parameters — getResourceDynamics"><meta name="description" content=" Use resource_dynamics(),
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Deprecated functions for getting resource parameters — getResourceDynamics"><meta name="description" content=" Use resource_dynamics(),
 resource_level(), resource_rate() and resource_capacity() instead."><meta property="og:description" content=" Use resource_dynamics(),
 resource_level(), resource_rate() and resource_capacity() instead."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
@@ -15,7 +15,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -36,13 +36,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -52,7 +60,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
diff --git a/docs/reference/getResourceMort.html b/docs/reference/getResourceMort.html
index 1642df402..88ab599d0 100644
--- a/docs/reference/getResourceMort.html
+++ b/docs/reference/getResourceMort.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get predation mortality rate for resource — getResourceMort"><meta name="description" content="Calculates the predation mortality rate \(\mu_p(w)\) on the resource
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get predation mortality rate for resource — getResourceMort"><meta name="description" content="Calculates the predation mortality rate \(\mu_p(w)\) on the resource
 spectrum by resource size (in units 1/year)."><meta property="og:description" content="Calculates the predation mortality rate \(\mu_p(w)\) on the resource
 spectrum by resource size (in units 1/year)."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
@@ -15,7 +15,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -36,13 +36,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -52,7 +60,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -142,6 +151,7 @@ <h2 id="your-own-resource-mortality-function">Your own resource mortality functi
     <div class="section level2">
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
     <div class="dont-index"><p>Other rate functions:
+<code><a href="getDiffusion.html">getDiffusion()</a></code>,
 <code><a href="getEGrowth.html">getEGrowth()</a></code>,
 <code><a href="getERepro.html">getERepro()</a></code>,
 <code><a href="getEReproAndGrowth.html">getEReproAndGrowth()</a></code>,
@@ -149,6 +159,7 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
 <code><a href="getFMort.html">getFMort()</a></code>,
 <code><a href="getFMortGear.html">getFMortGear()</a></code>,
 <code><a href="getFeedingLevel.html">getFeedingLevel()</a></code>,
+<code><a href="getFlux.html">getFlux()</a></code>,
 <code><a href="getMort.html">getMort()</a></code>,
 <code><a href="getPredMort.html">getPredMort()</a></code>,
 <code><a href="getPredRate.html">getPredRate()</a></code>,
diff --git a/docs/reference/getSSB.html b/docs/reference/getSSB.html
index 3a8ba0143..203890507 100644
--- a/docs/reference/getSSB.html
+++ b/docs/reference/getSSB.html
@@ -5,11 +5,13 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Calculate the SSB of species — getSSB"><meta name="description" content="Calculates the spawning stock biomass (SSB) through time of the species in
-the MizerSim class. SSB is calculated as the total mass of all mature
-individuals."><meta property="og:description" content="Calculates the spawning stock biomass (SSB) through time of the species in
-the MizerSim class. SSB is calculated as the total mass of all mature
-individuals."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Calculate the SSB of species — getSSB"><meta name="description" content="Calculates the spawning stock biomass (SSB) for each species. For a
+MizerSim object this is returned for every saved time; for a
+MizerParams object it is calculated from the initial state. SSB is the
+total mass of all mature individuals."><meta property="og:description" content="Calculates the spawning stock biomass (SSB) for each species. For a
+MizerSim object this is returned for every saved time; for a
+MizerParams object it is calculated from the initial state. SSB is the
+total mass of all mature individuals."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
 
 
@@ -17,7 +19,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -38,13 +40,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -54,7 +64,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -78,9 +89,10 @@
     </div>
 
     <div class="ref-description section level2">
-    <p>Calculates the spawning stock biomass (SSB) through time of the species in
-the <code>MizerSim</code> class. SSB is calculated as the total mass of all mature
-individuals.</p>
+    <p>Calculates the spawning stock biomass (SSB) for each species. For a
+<code>MizerSim</code> object this is returned for every saved time; for a
+<code>MizerParams</code> object it is calculated from the initial state. SSB is the
+total mass of all mature individuals.</p>
     </div>
 
     <div class="section level2">
@@ -93,15 +105,15 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 
 
 <dl><dt id="arg-object">object<a class="anchor" aria-label="anchor" href="#arg-object"></a></dt>
-<dd><p>An object of class <code>MizerParams</code> or MizerSim`.</p></dd>
+<dd><p>An object of class <code>MizerParams</code> or <code>MizerSim</code>.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    <p>If called with a MizerParams object, a vector with the SSB in
-grams for each species in the model. If called with a MizerSim object, an
-array (time x species) containing the SSB in grams at each time step
-for all species.</p>
+    <p>If called with a MizerParams object, a named vector with the SSB in
+grams for each species in the model. If called with a MizerSim object, a
+<code>ArraySpeciesByTime</code> object (time x species) containing the SSB in grams
+at each time step for all species.</p>
     </div>
     <div class="section level2">
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
@@ -110,6 +122,8 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
 <code><a href="getDiet.html">getDiet()</a></code>,
 <code><a href="getGrowthCurves.html">getGrowthCurves()</a></code>,
 <code><a href="getN.html">getN()</a></code>,
+<code><a href="getTrophicLevel.html">getTrophicLevel()</a></code>,
+<code><a href="getTrophicLevelBySpecies.html">getTrophicLevelBySpecies()</a></code>,
 <code><a href="getYield.html">getYield()</a></code>,
 <code><a href="getYieldGear.html">getYieldGear()</a></code></p></div>
     </div>
@@ -118,10 +132,9 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
     <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="va">ssb</span> <span class="op">&lt;-</span> <span class="fu">getSSB</span><span class="op">(</span><span class="va">NS_sim</span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="va">ssb</span><span class="op">[</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"1972"</span>, <span class="st">"2010"</span><span class="op">)</span>, <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"Herring"</span>, <span class="st">"Cod"</span><span class="op">)</span><span class="op">]</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>       sp</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> time        Herring          Cod</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   1972  44290356621 375924484131</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   2010 172765918920 347442607081</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Spawning stock biomass (2 times x 2 species) [g] </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Herring: min=4.43e+10 mean=1.09e+11 max=1.73e+11</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Cod: min=3.47e+11 mean=3.62e+11 max=3.76e+11</span>
 </code></pre></div>
     </div>
   </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
diff --git a/docs/reference/getTimes.html b/docs/reference/getTimes.html
index 038835ebc..25d128d6b 100644
--- a/docs/reference/getTimes.html
+++ b/docs/reference/getTimes.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Times for which simulation results are available — getTimes"><meta name="description" content="Times for which simulation results are available"><meta property="og:description" content="Times for which simulation results are available"><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Times for which simulation results are available — getTimes"><meta name="description" content="Times for which simulation results are available"><meta property="og:description" content="Times for which simulation results are available"><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
 
 
@@ -13,7 +13,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -34,13 +34,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -50,7 +58,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -92,7 +101,7 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    <p>A numeric vectors of the times (in years) at which simulation results
+    <p>A numeric vector of the times (in years) at which simulation results
 have been stored in the MizerSim object.</p>
     </div>
 
diff --git a/docs/reference/getTrophicLevel-1.png b/docs/reference/getTrophicLevel-1.png
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diff --git a/docs/reference/getTrophicLevel.html b/docs/reference/getTrophicLevel.html
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+++ b/docs/reference/getTrophicLevel.html
@@ -0,0 +1,224 @@
+<!DOCTYPE html>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en-GB"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Get trophic level of individuals at size — getTrophicLevel • mizer</title><!-- favicons --><link rel="icon" type="image/png" sizes="96x96" href="../favicon-96x96.png"><link rel="icon" type="”image/svg+xml”" href="../favicon.svg"><link rel="apple-touch-icon" sizes="180x180" href="../apple-touch-icon.png"><link rel="icon" sizes="any" href="../favicon.ico"><link rel="manifest" href="../site.webmanifest"><!-- mathjax math --><script src="https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/tex-mml-chtml.js" integrity="sha256-MASABpB4tYktI2Oitl4t+78w/lyA+D7b/s9GEP0JOGI=" crossorigin="anonymous"></script><script>
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+Calculates the trophic level of individuals of each species at each size,
+assuming the system is in a steady state. The trophic level of an individual
+is defined as 1 more than the consumption-rate-weighted average trophic level
+of all the prey it has consumed during its lifetime up to the current size.
+The trophic level of the primary resource is set to 0."><meta property="og:description" content="
+Calculates the trophic level of individuals of each species at each size,
+assuming the system is in a steady state. The trophic level of an individual
+is defined as 1 more than the consumption-rate-weighted average trophic level
+of all the prey it has consumed during its lifetime up to the current size.
+The trophic level of the primary resource is set to 0."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
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+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Get trophic level of individuals at size</h1>
+      <small class="dont-index">Source: <a href="https://github.com/sizespectrum/mizer/blob/HEAD/R/summary_methods.R" class="external-link"><code>R/summary_methods.R</code></a></small>
+      <div class="d-none name"><code>getTrophicLevel.Rd</code></div>
+    </div>
+
+    <div class="ref-description section level2">
+    <p><a href="https://lifecycle.r-lib.org/articles/stages.html#experimental" class="external-link"><img src="figures/lifecycle-experimental.svg" alt="[Experimental]"></a>
+Calculates the trophic level of individuals of each species at each size,
+assuming the system is in a steady state. The trophic level of an individual
+is defined as 1 more than the consumption-rate-weighted average trophic level
+of all the prey it has consumed during its lifetime up to the current size.
+The trophic level of the primary resource is set to 0.</p>
+    </div>
+
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">getTrophicLevel</span><span class="op">(</span></span>
+<span>  <span class="va">params</span>,</span>
+<span>  n <span class="op">=</span> <span class="fu"><a href="initialN-set.html">initialN</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span>,</span>
+<span>  n_pp <span class="op">=</span> <span class="fu"><a href="initialNResource-set.html">initialNResource</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span>,</span>
+<span>  n_other <span class="op">=</span> <span class="fu"><a href="initialNOther-set.html">initialNOther</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span>,</span>
+<span>  <span class="va">...</span></span>
+<span><span class="op">)</span></span></code></pre></div>
+    </div>
+
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-params">params<a class="anchor" aria-label="anchor" href="#arg-params"></a></dt>
+<dd><p>A <a href="MizerParams-class.html">MizerParams</a> object</p></dd>
+
+
+<dt id="arg-n">n<a class="anchor" aria-label="anchor" href="#arg-n"></a></dt>
+<dd><p>A matrix of species abundances (species x size).</p></dd>
+
+
+<dt id="arg-n-pp">n_pp<a class="anchor" aria-label="anchor" href="#arg-n-pp"></a></dt>
+<dd><p>A vector of the resource abundance by size</p></dd>
+
+
+<dt id="arg-n-other">n_other<a class="anchor" aria-label="anchor" href="#arg-n-other"></a></dt>
+<dd><p>A list of abundances for other dynamical components of the
+ecosystem</p></dd>
+
+</dl></div>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p>An <code>ArraySpeciesBySize</code> object (species x size) with the trophic
+level of individuals at each size. Entries below the egg size of each
+species are <code>NA</code>.</p>
+    </div>
+    <div class="section level2">
+    <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
+    <p>In the traditional non-size-resolved approach, all individuals of a species
+have the same diet composition \(D_{ij}\), defined as the proportion of
+total biomass intake of species \(i\) that comes from species \(j\).
+The trophic levels then satisfy
+$$T_i = 1 + \sum_j D_{ij}\,T_j,$$
+which is solved as a linear system \((I - D)\,\mathbf{T} = \mathbf{1}\).</p>
+<p>In mizer, diet composition changes as an individual grows, so we must
+integrate over the individual's lifetime. Assuming a steady state so that
+the growth rate \(g_i(w)\) and prey densities depend only on size and not
+on time, we can replace the integral over time since birth by an integral
+over weight using \(dt = dw / g_i(w)\). The trophic level
+\(T_i(w)\) of an individual of species \(i\) at weight \(w\) is
+then
+$$
+T_i(w) = 1 + \frac{
+  \int_{w_0}^{w} \frac{1}{g_i(w')} \sum_j \int r_{ij}(w', w_p)\, T_j(w_p)\, dw_p\, dw'
+}{
+  \int_{w_0}^{w} \frac{1}{g_i(w')} \sum_j \int r_{ij}(w', w_p)\, dw_p\, dw'
+},
+$$
+where \(w_0\) is the egg size and \(r_{ij}(w, w_p)\) is the rate at
+which a predator of species \(i\) at weight \(w\) consumes biomass from
+prey species \(j\) at weight \(w_p\):
+$$
+r_{ij}(w, w_p) = \theta_{ij}\,\gamma_i(w)\,(1 - f_i(w))\,\phi_i(w/w_p)\,
+  N_j(w_p)\,w_p.
+$$
+The sum over \(j\) runs over all species. The resource is excluded from
+the numerator because its trophic level is 0, but is included in the
+denominator (which equals the total biomass consumed over the predator's
+lifetime from egg size to current weight \(w\)).</p>
+<p>This equation can be viewed as a linear system
+\((I - D)\,\mathbf{T} = \mathbf{1}\) in which the entries of
+\(\mathbf{T}\) are indexed by \((i, w)\) and the matrix \(D\) encodes
+the lifetime-integrated diet composition. The system is solved iteratively
+from small to large sizes, exploiting the fact that prey are typically much
+smaller than the predator (large predator-to-prey mass ratio), so that the
+trophic levels of all relevant prey sizes are already known when computing
+\(T_i(w)\).</p>
+    </div>
+    <div class="section level2">
+    <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
+    <div class="dont-index"><p><code><a href="getTrophicLevelBySpecies.html">getTrophicLevelBySpecies()</a></code></p>
+<p>Other summary functions:
+<code><a href="getBiomass.html">getBiomass()</a></code>,
+<code><a href="getDiet.html">getDiet()</a></code>,
+<code><a href="getGrowthCurves.html">getGrowthCurves()</a></code>,
+<code><a href="getN.html">getN()</a></code>,
+<code><a href="getSSB.html">getSSB()</a></code>,
+<code><a href="getTrophicLevelBySpecies.html">getTrophicLevelBySpecies()</a></code>,
+<code><a href="getYield.html">getYield()</a></code>,
+<code><a href="getYieldGear.html">getYieldGear()</a></code></p></div>
+    </div>
+
+    <div class="section level2">
+    <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="va">tl</span> <span class="op">&lt;-</span> <span class="fu">getTrophicLevel</span><span class="op">(</span><span class="va">NS_params</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="fu"><a href="plot.html">plot</a></span><span class="op">(</span><span class="va">tl</span><span class="op">)</span></span></span>
+<span class="r-plt img"><img src="getTrophicLevel-1.png" alt="" width="700" height="433"></span>
+</code></pre></div>
+    </div>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside></div>
+
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+  <p>Developed by <a href="https://www.york.ac.uk/maths/staff/gustav-delius/" class="external-link">Gustav Delius</a>, Finlay Scott, <a href="http://www.utas.edu.au/profiles/staff/imas/julia-blanchard" class="external-link">Julia Blanchard</a>, <a href="https://ken.haste.dk/" class="external-link">Ken Andersen</a>.</p>
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diff --git a/docs/reference/getTrophicLevelBySpecies.html b/docs/reference/getTrophicLevelBySpecies.html
new file mode 100644
index 000000000..fc670efa1
--- /dev/null
+++ b/docs/reference/getTrophicLevelBySpecies.html
@@ -0,0 +1,197 @@
+<!DOCTYPE html>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en-GB"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Get mean trophic level of each species — getTrophicLevelBySpecies • mizer</title><!-- favicons --><link rel="icon" type="image/png" sizes="96x96" href="../favicon-96x96.png"><link rel="icon" type="”image/svg+xml”" href="../favicon.svg"><link rel="apple-touch-icon" sizes="180x180" href="../apple-touch-icon.png"><link rel="icon" sizes="any" href="../favicon.ico"><link rel="manifest" href="../site.webmanifest"><!-- mathjax math --><script src="https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/tex-mml-chtml.js" integrity="sha256-MASABpB4tYktI2Oitl4t+78w/lyA+D7b/s9GEP0JOGI=" crossorigin="anonymous"></script><script>
+  window.MathJax = {
+    chtml: {
+      fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
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+  };
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get mean trophic level of each species — getTrophicLevelBySpecies"><meta name="description" content="
+Calculates the consumption-rate-weighted mean trophic level of each species,
+defined as
+$$
+  T_i = \frac{\int r_i(w)\,N_i(w)\,T_i(w)\,dw}
+             {\int r_i(w)\,N_i(w)\,dw},
+$$
+where \(r_i(w) = (1 - f_i(w))\,E_i(w)\) is the consumption rate of an
+individual of species \(i\) at weight \(w\), \(N_i(w)\) is the
+abundance density, and \(T_i(w)\) is the size-resolved trophic level
+from getTrophicLevel()."><meta property="og:description" content="
+Calculates the consumption-rate-weighted mean trophic level of each species,
+defined as
+$$
+  T_i = \frac{\int r_i(w)\,N_i(w)\,T_i(w)\,dw}
+             {\int r_i(w)\,N_i(w)\,dw},
+$$
+where \(r_i(w) = (1 - f_i(w))\,E_i(w)\) is the consumption rate of an
+individual of species \(i\) at weight \(w\), \(N_i(w)\) is the
+abundance density, and \(T_i(w)\) is the size-resolved trophic level
+from getTrophicLevel()."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
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+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/model_description.html">The General Mizer Size-spectrum Model</a></li>
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+    <li><h6 class="dropdown-header" data-toc-skip>Tutorials</h6></li>
+    <li><a class="dropdown-item" href="../articles/single_species_size-spectrum_dynamics.html">Single-species size-spectrum dynamics</a></li>
+    <li><a class="dropdown-item" href="../articles/community_model.html">The Community Model</a></li>
+    <li><a class="dropdown-item" href="../articles/trait_model.html">The Trait-Based Model</a></li>
+    <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
+    <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
+    <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
+    <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
+    <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
+    <li><hr class="dropdown-divider"></li>
+    <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
+    <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
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+    <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
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+    <li><a class="dropdown-item" href="../articles/index.html">More articles...</a></li>
+  </ul></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
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+</nav><div class="container template-reference-topic">
+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Get mean trophic level of each species</h1>
+      <small class="dont-index">Source: <a href="https://github.com/sizespectrum/mizer/blob/HEAD/R/summary_methods.R" class="external-link"><code>R/summary_methods.R</code></a></small>
+      <div class="d-none name"><code>getTrophicLevelBySpecies.Rd</code></div>
+    </div>
+
+    <div class="ref-description section level2">
+    <p><a href="https://lifecycle.r-lib.org/articles/stages.html#experimental" class="external-link"><img src="figures/lifecycle-experimental.svg" alt="[Experimental]"></a>
+Calculates the consumption-rate-weighted mean trophic level of each species,
+defined as
+$$
+  T_i = \frac{\int r_i(w)\,N_i(w)\,T_i(w)\,dw}
+             {\int r_i(w)\,N_i(w)\,dw},
+$$
+where \(r_i(w) = (1 - f_i(w))\,E_i(w)\) is the consumption rate of an
+individual of species \(i\) at weight \(w\), \(N_i(w)\) is the
+abundance density, and \(T_i(w)\) is the size-resolved trophic level
+from <code><a href="getTrophicLevel.html">getTrophicLevel()</a></code>.</p>
+    </div>
+
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">getTrophicLevelBySpecies</span><span class="op">(</span></span>
+<span>  <span class="va">params</span>,</span>
+<span>  n <span class="op">=</span> <span class="fu"><a href="initialN-set.html">initialN</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span>,</span>
+<span>  n_pp <span class="op">=</span> <span class="fu"><a href="initialNResource-set.html">initialNResource</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span>,</span>
+<span>  n_other <span class="op">=</span> <span class="fu"><a href="initialNOther-set.html">initialNOther</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span>,</span>
+<span>  <span class="va">...</span></span>
+<span><span class="op">)</span></span></code></pre></div>
+    </div>
+
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-params">params<a class="anchor" aria-label="anchor" href="#arg-params"></a></dt>
+<dd><p>A <a href="MizerParams-class.html">MizerParams</a> object</p></dd>
+
+
+<dt id="arg-n">n<a class="anchor" aria-label="anchor" href="#arg-n"></a></dt>
+<dd><p>A matrix of species abundances (species x size).</p></dd>
+
+
+<dt id="arg-n-pp">n_pp<a class="anchor" aria-label="anchor" href="#arg-n-pp"></a></dt>
+<dd><p>A vector of the resource abundance by size</p></dd>
+
+
+<dt id="arg-n-other">n_other<a class="anchor" aria-label="anchor" href="#arg-n-other"></a></dt>
+<dd><p>A list of abundances for other dynamical components of the
+ecosystem</p></dd>
+
+</dl></div>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p>A named vector with the mean trophic level for each species.</p>
+    </div>
+    <div class="section level2">
+    <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
+    <div class="dont-index"><p><code><a href="getTrophicLevel.html">getTrophicLevel()</a></code></p>
+<p>Other summary functions:
+<code><a href="getBiomass.html">getBiomass()</a></code>,
+<code><a href="getDiet.html">getDiet()</a></code>,
+<code><a href="getGrowthCurves.html">getGrowthCurves()</a></code>,
+<code><a href="getN.html">getN()</a></code>,
+<code><a href="getSSB.html">getSSB()</a></code>,
+<code><a href="getTrophicLevel.html">getTrophicLevel()</a></code>,
+<code><a href="getYield.html">getYield()</a></code>,
+<code><a href="getYieldGear.html">getYieldGear()</a></code></p></div>
+    </div>
+
+    <div class="section level2">
+    <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="fu">getTrophicLevelBySpecies</span><span class="op">(</span><span class="va">NS_params</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>    Sprat  Sandeel   N.pout  Herring      Dab  Whiting     Sole  Gurnard </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 1.000097 1.000046 1.215283 1.005033 1.278265 1.525713 1.217122 1.044212 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Plaice  Haddock      Cod   Saithe </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 1.146182 1.151806 2.074701 1.602743 </span>
+</code></pre></div>
+    </div>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside></div>
+
+
+    <footer><div class="pkgdown-footer-left">
+  <p>Developed by <a href="https://www.york.ac.uk/maths/staff/gustav-delius/" class="external-link">Gustav Delius</a>, Finlay Scott, <a href="http://www.utas.edu.au/profiles/staff/imas/julia-blanchard" class="external-link">Julia Blanchard</a>, <a href="https://ken.haste.dk/" class="external-link">Ken Andersen</a>.</p>
+</div>
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diff --git a/docs/reference/getYield.html b/docs/reference/getYield.html
index 5fa93d91a..b2d304fe6 100644
--- a/docs/reference/getYield.html
+++ b/docs/reference/getYield.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Calculate the rate at which biomass of each species is fished — getYield"><meta name="description" content="This yield rate is given in grams per year. It is calculated at each time
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Calculate the rate at which biomass of each species is fished — getYield"><meta name="description" content="This yield rate is given in grams per year. It is calculated at each time
 step saved in the MizerSim object."><meta property="og:description" content="This yield rate is given in grams per year. It is calculated at each time
 step saved in the MizerSim object."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
@@ -15,7 +15,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -36,13 +36,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -52,7 +60,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -95,10 +104,10 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    <p>If called with a MizerParams object, a vector with the yield rate in
-grams per year for each species in the model. If called with a MizerSim
-object, an array (time x species) containing the yield rate at each time
-step for all species.</p>
+    <p>If called with a <code>MizerParams</code> object, a named numeric vector with
+the yield rate in grams per year for each species in the model. If called
+with a <code>MizerSim</code> object, an <code>ArraySpeciesByTime</code> object (time x species)
+containing the yield rate in grams per year at each saved time step.</p>
     </div>
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
@@ -130,6 +139,8 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
 <code><a href="getGrowthCurves.html">getGrowthCurves()</a></code>,
 <code><a href="getN.html">getN()</a></code>,
 <code><a href="getSSB.html">getSSB()</a></code>,
+<code><a href="getTrophicLevel.html">getTrophicLevel()</a></code>,
+<code><a href="getTrophicLevelBySpecies.html">getTrophicLevelBySpecies()</a></code>,
 <code><a href="getYieldGear.html">getYieldGear()</a></code></p></div>
     </div>
 
@@ -137,14 +148,13 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
     <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="va">yield</span> <span class="op">&lt;-</span> <span class="fu">getYield</span><span class="op">(</span><span class="va">NS_sim</span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="va">yield</span><span class="op">[</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"1972"</span>, <span class="st">"2010"</span><span class="op">)</span>, <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"Herring"</span>, <span class="st">"Cod"</span><span class="op">)</span><span class="op">]</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>       sp</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> time       Herring          Cod</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   1972 80002050975 355351719122</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   2010 30496241734 289022888045</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Yield rate (2 times x 2 species) [g/year] </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Herring: min=3.05e+10 mean=5.52e+10 max=8e+10</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Cod: min=2.89e+11 mean=3.22e+11 max=3.55e+11</span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="co"># Running simulation for another year, saving intermediate time steps</span></span></span>
 <span class="r-in"><span><span class="va">params</span> <span class="op">&lt;-</span> <span class="fu"><a href="setInitialValues.html">setInitialValues</a></span><span class="op">(</span><span class="fu"><a href="getParams.html">getParams</a></span><span class="op">(</span><span class="va">NS_sim</span><span class="op">)</span>, <span class="va">NS_sim</span><span class="op">)</span></span></span>
-<span class="r-in"><span><span class="va">sim</span> <span class="op">&lt;-</span> <span class="fu"><a href="project.html">project</a></span><span class="op">(</span><span class="va">params</span>, t_save <span class="op">=</span> <span class="fl">0.1</span>, t_max <span class="op">=</span> <span class="fl">1</span>, </span></span>
+<span class="r-in"><span><span class="va">sim</span> <span class="op">&lt;-</span> <span class="fu"><a href="project.html">project</a></span><span class="op">(</span><span class="va">params</span>, t_save <span class="op">=</span> <span class="fl">0.1</span>, t_max <span class="op">=</span> <span class="fl">1</span>,</span></span>
 <span class="r-in"><span>               t_start <span class="op">=</span> <span class="fl">2010</span>, progress_bar <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="co"># The yield rate for Herring decreases during the year</span></span></span>
 <span class="r-in"><span><span class="fu">getYield</span><span class="op">(</span><span class="va">sim</span><span class="op">)</span><span class="op">[</span>, <span class="st">"Herring"</span><span class="op">]</span></span></span>
@@ -152,7 +162,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> 30496241734 30406503779 30297907652 30173956406 30038604629 29896229522 </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>      2010.6      2010.7      2010.8      2010.9        2011 </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> 29751183405 29607379160 29468046935 29335685116 29212159486 </span>
-<span class="r-in"><span><span class="co"># We get the total catch in the year by averaging over the year</span></span></span>
+<span class="r-in"><span><span class="co"># We approximate the total catch in the year by averaging over the year</span></span></span>
 <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/sum.html" class="external-link">sum</a></span><span class="op">(</span><span class="fu">getYield</span><span class="op">(</span><span class="va">sim</span><span class="op">)</span><span class="op">[</span><span class="fl">1</span><span class="op">:</span><span class="fl">10</span>, <span class="st">"Herring"</span><span class="op">]</span> <span class="op">/</span> <span class="fl">10</span><span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> [1] 29947173834</span>
 </code></pre></div>
diff --git a/docs/reference/getYieldGear.html b/docs/reference/getYieldGear.html
index 649c0b23a..a590b1916 100644
--- a/docs/reference/getYieldGear.html
+++ b/docs/reference/getYieldGear.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Calculate the rate at which biomass of each species is fished by each gear — getYieldGear"><meta name="description" content="This yield rate is given in grams per year. It is calculated at each time
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Calculate the rate at which biomass of each species is fished by each gear — getYieldGear"><meta name="description" content="This yield rate is given in grams per year. It is calculated at each time
 step saved in the MizerSim object."><meta property="og:description" content="This yield rate is given in grams per year. It is calculated at each time
 step saved in the MizerSim object."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
@@ -15,7 +15,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -36,13 +36,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -52,7 +60,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -114,15 +123,21 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
 <code><a href="getGrowthCurves.html">getGrowthCurves()</a></code>,
 <code><a href="getN.html">getN()</a></code>,
 <code><a href="getSSB.html">getSSB()</a></code>,
+<code><a href="getTrophicLevel.html">getTrophicLevel()</a></code>,
+<code><a href="getTrophicLevelBySpecies.html">getTrophicLevelBySpecies()</a></code>,
 <code><a href="getYield.html">getYield()</a></code></p></div>
     </div>
 
     <div class="section level2">
     <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="va">yield</span> <span class="op">&lt;-</span> <span class="fu">getYieldGear</span><span class="op">(</span><span class="va">NS_sim</span><span class="op">)</span></span></span>
-<span class="r-in"><span><span class="va">yield</span><span class="op">[</span><span class="st">"1972"</span>, <span class="st">"Herring"</span>, <span class="st">"Herring"</span><span class="op">]</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 80002050975</span>
-<span class="r-in"><span><span class="co"># (In this example MizerSim object each species was set up with its own gear)</span></span></span>
+<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/dim.html" class="external-link">dim</a></span><span class="op">(</span><span class="va">yield</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 44 12 12</span>
+<span class="r-in"><span><span class="va">yield</span><span class="op">[</span><span class="st">"1972"</span>, , <span class="st">"Herring"</span><span class="op">]</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>       Sprat     Sandeel      N.pout     Herring         Dab     Whiting </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>           0           0           0 80002050975           0           0 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>        Sole     Gurnard      Plaice     Haddock         Cod      Saithe </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>           0           0           0           0           0           0 </span>
 </code></pre></div>
     </div>
   </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
diff --git a/docs/reference/getZ.html b/docs/reference/getZ.html
index 327a0dab5..b5c6f4e22 100644
--- a/docs/reference/getZ.html
+++ b/docs/reference/getZ.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Alias for getMort() — getZ"><meta name="description" content="
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Alias for getMort() — getZ"><meta name="description" content="
 An alias provided for backward compatibility with mizer version &amp;lt;= 1.0"><meta property="og:description" content="
 An alias provided for backward compatibility with mizer version &amp;lt;= 1.0"><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
@@ -15,7 +15,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -36,13 +36,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -52,7 +60,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -131,7 +140,7 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    <p>A two dimensional array (prey species x prey size).</p>
+    <p>An <code>ArraySpeciesBySize</code> object (species x size) with the total mortality rates.</p>
     </div>
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
@@ -156,6 +165,7 @@ <h2 id="your-own-mortality-function">Your own mortality function<a class="anchor
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
     <div class="dont-index"><p><code><a href="getPredMort.html">getPredMort()</a></code>, <code><a href="getFMort.html">getFMort()</a></code></p>
 <p>Other rate functions:
+<code><a href="getDiffusion.html">getDiffusion()</a></code>,
 <code><a href="getEGrowth.html">getEGrowth()</a></code>,
 <code><a href="getERepro.html">getERepro()</a></code>,
 <code><a href="getEReproAndGrowth.html">getEReproAndGrowth()</a></code>,
@@ -163,6 +173,7 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
 <code><a href="getFMort.html">getFMort()</a></code>,
 <code><a href="getFMortGear.html">getFMortGear()</a></code>,
 <code><a href="getFeedingLevel.html">getFeedingLevel()</a></code>,
+<code><a href="getFlux.html">getFlux()</a></code>,
 <code><a href="getPredMort.html">getPredMort()</a></code>,
 <code><a href="getPredRate.html">getPredRate()</a></code>,
 <code><a href="getRDD.html">getRDD()</a></code>,
diff --git a/docs/reference/get_f0_default.html b/docs/reference/get_f0_default.html
index 953356be7..f485b729c 100644
--- a/docs/reference/get_f0_default.html
+++ b/docs/reference/get_f0_default.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get default value for f0 — get_f0_default"><meta name="description" content="Fills in any missing values for f0 so that if the prey abundance was
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get default value for f0 — get_f0_default"><meta name="description" content="Fills in any missing values for f0 so that if the prey abundance was
 described by the power law \(\kappa w^{-\lambda}\) then the encounter rate
 coming from the given gamma parameter would lead to the feeding level
 \(f_0\). This is thus doing the inverse of get_gamma_default().
@@ -21,7 +21,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -42,13 +42,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -58,7 +66,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
diff --git a/docs/reference/get_gamma_default.html b/docs/reference/get_gamma_default.html
index b9cda91af..8dec37b22 100644
--- a/docs/reference/get_gamma_default.html
+++ b/docs/reference/get_gamma_default.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get default value for gamma — get_gamma_default"><meta name="description" content="Fills in any missing values for gamma so that fish feeding on a resource
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get default value for gamma — get_gamma_default"><meta name="description" content="Fills in any missing values for gamma so that fish feeding on a resource
 spectrum described by the power law \(\kappa w^{-\lambda}\) achieve a
 feeding level \(f_0\). Only for internal use."><meta property="og:description" content="Fills in any missing values for gamma so that fish feeding on a resource
 spectrum described by the power law \(\kappa w^{-\lambda}\) achieve a
@@ -17,7 +17,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -38,13 +38,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -54,7 +62,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
diff --git a/docs/reference/get_h_default.html b/docs/reference/get_h_default.html
index c665ea3a9..abd71e944 100644
--- a/docs/reference/get_h_default.html
+++ b/docs/reference/get_h_default.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get default value for h — get_h_default"><meta name="description" content="Sets h so that the species reaches maturity size w_mat at the maturity
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get default value for h — get_h_default"><meta name="description" content="Sets h so that the species reaches maturity size w_mat at the maturity
 age age_mat if it feeds at feeding level f0."><meta property="og:description" content="Sets h so that the species reaches maturity size w_mat at the maturity
 age age_mat if it feeds at feeding level f0."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
@@ -15,7 +15,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -36,13 +36,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -52,7 +60,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
diff --git a/docs/reference/get_initial_n.html b/docs/reference/get_initial_n.html
index eed03d7fa..b463f254e 100644
--- a/docs/reference/get_initial_n.html
+++ b/docs/reference/get_initial_n.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Calculate initial population abundances — get_initial_n"><meta name="description" content="This function uses the model parameters and other parameters to calculate
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Calculate initial population abundances — get_initial_n"><meta name="description" content="This function uses the model parameters and other parameters to calculate
 initial values for the species number densities. These initial
 abundances are currently quite arbitrary and not close to the steady state.
 We intend to improve this in the future."><meta property="og:description" content="This function uses the model parameters and other parameters to calculate
@@ -19,7 +19,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -40,13 +40,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -56,7 +64,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -101,8 +110,9 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 
 
 <dt id="arg-n-mult">n0_mult<a class="anchor" aria-label="anchor" href="#arg-n-mult"></a></dt>
-<dd><p>Multiplier for the abundance at size 0. Default value is
-kappa/1000.</p></dd>
+<dd><p>Multiplier for the abundance at size 0 when using defaults
+edition 1. If not supplied, <code>kappa / 1000</code> is used. This argument is
+ignored for defaults edition 2 and later.</p></dd>
 
 
 <dt id="arg-a">a<a class="anchor" aria-label="anchor" href="#arg-a"></a></dt>
@@ -111,7 +121,7 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    <p>A matrix (species x size) of population abundances.</p>
+    <p>An <code>ArraySpeciesBySize</code> object (species x size) of population abundances.</p>
     </div>
 
     <div class="section level2">
diff --git a/docs/reference/get_ks_default.html b/docs/reference/get_ks_default.html
index 3096b56e8..2706c72fd 100644
--- a/docs/reference/get_ks_default.html
+++ b/docs/reference/get_ks_default.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get default value for ks — get_ks_default"><meta name="description" content="Fills in any missing values for ks so that the critical feeding level needed
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get default value for ks — get_ks_default"><meta name="description" content="Fills in any missing values for ks so that the critical feeding level needed
 to sustain the species is as specified in the fc column in the species
 parameter data frame. If that column is not provided the default critical
 feeding level \(f_c = 0.2\) is used."><meta property="og:description" content="Fills in any missing values for ks so that the critical feeding level needed
@@ -19,7 +19,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -40,13 +40,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -56,7 +64,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
diff --git a/docs/reference/get_phi.html b/docs/reference/get_phi.html
index 33d68daf4..0af2d9c15 100644
--- a/docs/reference/get_phi.html
+++ b/docs/reference/get_phi.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get values from feeding kernel function — get_phi"><meta name="description" content="This involves finding the feeding kernel function for each species, using the
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get values from feeding kernel function — get_phi"><meta name="description" content="This involves finding the feeding kernel function for each species, using the
 pred_kernel_type parameter in the species_params data frame, checking that it
 is valid and all its arguments are contained in the species_params data
 frame, and then calling this function with the ppmr vector."><meta property="og:description" content="This involves finding the feeding kernel function for each species, using the
@@ -19,7 +19,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -40,13 +40,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -56,7 +64,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
diff --git a/docs/reference/get_size_range_array.html b/docs/reference/get_size_range_array.html
index ca4aa57e9..96292d69b 100644
--- a/docs/reference/get_size_range_array.html
+++ b/docs/reference/get_size_range_array.html
@@ -5,10 +5,10 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get size range array — get_size_range_array"><meta name="description" content="Helper function that returns an array (species x size) of boolean values
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get size range array — get_size_range_array"><meta name="description" content="Helper function that returns an array (species x size) of logical values
 indicating whether that size bin is within the size limits specified by the
 arguments. Either the size limits can be the same for all species or they
-can be specified as vectors with one value for each species in the model."><meta property="og:description" content="Helper function that returns an array (species x size) of boolean values
+can be specified as vectors with one value for each species in the model."><meta property="og:description" content="Helper function that returns an array (species x size) of logical values
 indicating whether that size bin is within the size limits specified by the
 arguments. Either the size limits can be the same for all species or they
 can be specified as vectors with one value for each species in the model."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
@@ -19,7 +19,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -40,13 +40,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -56,7 +64,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -80,7 +89,7 @@
     </div>
 
     <div class="ref-description section level2">
-    <p>Helper function that returns an array (species x size) of boolean values
+    <p>Helper function that returns an array (species x size) of logical values
 indicating whether that size bin is within the size limits specified by the
 arguments. Either the size limits can be the same for all species or they
 can be specified as vectors with one value for each species in the model.</p>
@@ -132,7 +141,7 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    <p>Boolean array (species x size)</p>
+    <p>A logical array (species x size), with dimnames <code>sp</code> and <code>w</code>.</p>
     </div>
     <div class="section level2">
     <h2 id="length-to-weight-conversion">Length to weight conversion<a class="anchor" aria-label="anchor" href="#length-to-weight-conversion"></a></h2>
diff --git a/docs/reference/get_steady_state_n.html b/docs/reference/get_steady_state_n.html
new file mode 100644
index 000000000..4b00af4e8
--- /dev/null
+++ b/docs/reference/get_steady_state_n.html
@@ -0,0 +1,144 @@
+<!DOCTYPE html>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en-GB"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Calculate steady state abundance — get_steady_state_n • mizer</title><!-- favicons --><link rel="icon" type="image/png" sizes="96x96" href="../favicon-96x96.png"><link rel="icon" type="”image/svg+xml”" href="../favicon.svg"><link rel="apple-touch-icon" sizes="180x180" href="../apple-touch-icon.png"><link rel="icon" sizes="any" href="../favicon.ico"><link rel="manifest" href="../site.webmanifest"><!-- mathjax math --><script src="https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/tex-mml-chtml.js" integrity="sha256-MASABpB4tYktI2Oitl4t+78w/lyA+D7b/s9GEP0JOGI=" crossorigin="anonymous"></script><script>
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+transport equation with given growth and mortality rates. It sets up a
+tri-diagonal system and solves it."><meta property="og:description" content="This function calculates the steady state abundance by solving the
+transport equation with given growth and mortality rates. It sets up a
+tri-diagonal system and solves it."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
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+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
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+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Calculate steady state abundance</h1>
+      <small class="dont-index">Source: <a href="https://github.com/sizespectrum/mizer/blob/HEAD/R/helpers.R" class="external-link"><code>R/helpers.R</code></a></small>
+      <div class="d-none name"><code>get_steady_state_n.Rd</code></div>
+    </div>
+
+    <div class="ref-description section level2">
+    <p>This function calculates the steady state abundance by solving the
+transport equation with given growth and mortality rates. It sets up a
+tri-diagonal system and solves it.</p>
+    </div>
+
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">get_steady_state_n</span><span class="op">(</span><span class="va">params</span>, <span class="va">g</span>, <span class="va">mu</span>, <span class="va">N0</span><span class="op">)</span></span></code></pre></div>
+    </div>
+
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-params">params<a class="anchor" aria-label="anchor" href="#arg-params"></a></dt>
+<dd><p>A MizerParams object</p></dd>
+
+
+<dt id="arg-g">g<a class="anchor" aria-label="anchor" href="#arg-g"></a></dt>
+<dd><p>A matrix of growth rates (species x size)</p></dd>
+
+
+<dt id="arg-mu">mu<a class="anchor" aria-label="anchor" href="#arg-mu"></a></dt>
+<dd><p>A matrix of mortality rates (species x size)</p></dd>
+
+
+<dt id="arg-n-">N0<a class="anchor" aria-label="anchor" href="#arg-n-"></a></dt>
+<dd><p>A vector with the abundance at the smallest size for each species</p></dd>
+
+</dl></div>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p>A matrix with the steady state abundance</p>
+    </div>
+
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside></div>
+
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+    <footer><div class="pkgdown-footer-left">
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diff --git a/docs/reference/get_time_elements.html b/docs/reference/get_time_elements.html
index 15f9bd580..470063bb9 100644
--- a/docs/reference/get_time_elements.html
+++ b/docs/reference/get_time_elements.html
@@ -1,13 +1,13 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en-GB"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Get_time_elements — get_time_elements • mizer</title><!-- favicons --><link rel="icon" type="image/png" sizes="96x96" href="../favicon-96x96.png"><link rel="icon" type="”image/svg+xml”" href="../favicon.svg"><link rel="apple-touch-icon" sizes="180x180" href="../apple-touch-icon.png"><link rel="icon" sizes="any" href="../favicon.ico"><link rel="manifest" href="../site.webmanifest"><!-- mathjax math --><script src="https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/tex-mml-chtml.js" integrity="sha256-MASABpB4tYktI2Oitl4t+78w/lyA+D7b/s9GEP0JOGI=" crossorigin="anonymous"></script><script>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en-GB"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Get array indices for a time range in a MizerSim object — get_time_elements • mizer</title><!-- favicons --><link rel="icon" type="image/png" sizes="96x96" href="../favicon-96x96.png"><link rel="icon" type="”image/svg+xml”" href="../favicon.svg"><link rel="apple-touch-icon" sizes="180x180" href="../apple-touch-icon.png"><link rel="icon" sizes="any" href="../favicon.ico"><link rel="manifest" href="../site.webmanifest"><!-- mathjax math --><script src="https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/tex-mml-chtml.js" integrity="sha256-MASABpB4tYktI2Oitl4t+78w/lyA+D7b/s9GEP0JOGI=" crossorigin="anonymous"></script><script>
   window.MathJax = {
     chtml: {
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get_time_elements — get_time_elements"><meta name="description" content="Internal function to get the array element references of the time dimension
-for the time based slots of a MizerSim object."><meta property="og:description" content="Internal function to get the array element references of the time dimension
-for the time based slots of a MizerSim object."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get array indices for a time range in a MizerSim object — get_time_elements"><meta name="description" content="Internal helper to select the saved time points whose times lie between the
+smallest and largest values in time_range, inclusive."><meta property="og:description" content="Internal helper to select the saved time points whose times lie between the
+smallest and largest values in time_range, inclusive."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
 
 
@@ -15,7 +15,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -36,13 +36,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
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     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
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@@ -52,7 +60,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -70,14 +79,14 @@
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="../logo.png" class="logo" alt=""><h1>Get_time_elements</h1>
+      <img src="../logo.png" class="logo" alt=""><h1>Get array indices for a time range in a MizerSim object</h1>
       <small class="dont-index">Source: <a href="https://github.com/sizespectrum/mizer/blob/HEAD/R/rate_functions.R" class="external-link"><code>R/rate_functions.R</code></a></small>
       <div class="d-none name"><code>get_time_elements.Rd</code></div>
     </div>
 
     <div class="ref-description section level2">
-    <p>Internal function to get the array element references of the time dimension
-for the time based slots of a MizerSim object.</p>
+    <p>Internal helper to select the saved time points whose times lie between the
+smallest and largest values in <code>time_range</code>, inclusive.</p>
     </div>
 
     <div class="section level2">
@@ -90,24 +99,25 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 
 
 <dl><dt id="arg-sim">sim<a class="anchor" aria-label="anchor" href="#arg-sim"></a></dt>
-<dd><p>A MizerSim object</p></dd>
+<dd><p>A MizerSim object.</p></dd>
 
 
 <dt id="arg-time-range">time_range<a class="anchor" aria-label="anchor" href="#arg-time-range"></a></dt>
-<dd><p>A vector of times. Only the range of times is relevant,
-i.e., all times between the smallest and largest will be selected.
-The time_range can be character or numeric.</p></dd>
+<dd><p>A numeric or character vector of times. Only the range of
+values matters, so all saved times between <code>min(time_range)</code> and
+<code>max(time_range)</code> are selected.</p></dd>
 
 
 <dt id="arg-slot-name">slot_name<a class="anchor" aria-label="anchor" href="#arg-slot-name"></a></dt>
-<dd><p>Obsolete. Was only needed in early versions of mizer where
-the effort slot could have different time dimension from the other slots.</p></dd>
+<dd><p>Obsolete, kept only for backward compatibility with early
+versions where different time-based slots could have different time grids.
+Leave at the default.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    <p>Named boolean vector indicating for each time whether it is included
-in the range or not.</p>
+    <p>A named logical vector, with one entry for each saved time in <code>sim</code>,
+indicating whether that time lies in the requested range.</p>
     </div>
 
   </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
diff --git a/docs/reference/ggplotly.ArraySpeciesBySize.html b/docs/reference/ggplotly.ArraySpeciesBySize.html
new file mode 100644
index 000000000..3390ef8d2
--- /dev/null
+++ b/docs/reference/ggplotly.ArraySpeciesBySize.html
@@ -0,0 +1,8 @@
+<html>
+  <head>
+    <meta http-equiv="refresh" content="0;URL=https://sizespectrum.org/mizer/reference/plot.html" />
+    <meta name="robots" content="noindex">
+    <link rel="canonical" href="https://sizespectrum.org/mizer/reference/plot.html">
+  </head>
+</html>
+
diff --git a/docs/reference/ggplotly.ArraySpeciesByTime.html b/docs/reference/ggplotly.ArraySpeciesByTime.html
new file mode 100644
index 000000000..3390ef8d2
--- /dev/null
+++ b/docs/reference/ggplotly.ArraySpeciesByTime.html
@@ -0,0 +1,8 @@
+<html>
+  <head>
+    <meta http-equiv="refresh" content="0;URL=https://sizespectrum.org/mizer/reference/plot.html" />
+    <meta name="robots" content="noindex">
+    <link rel="canonical" href="https://sizespectrum.org/mizer/reference/plot.html">
+  </head>
+</html>
+
diff --git a/docs/reference/ggplotly.html b/docs/reference/ggplotly.html
new file mode 100644
index 000000000..8d1837fa9
--- /dev/null
+++ b/docs/reference/ggplotly.html
@@ -0,0 +1,8 @@
+<html>
+  <head>
+    <meta http-equiv="refresh" content="0;URL=https://sizespectrum.org/mizer/reference/reexports.html" />
+    <meta name="robots" content="noindex">
+    <link rel="canonical" href="https://sizespectrum.org/mizer/reference/reexports.html">
+  </head>
+</html>
+
diff --git a/docs/reference/index.html b/docs/reference/index.html
index 8c0d12b71..a10dc52fc 100644
--- a/docs/reference/index.html
+++ b/docs/reference/index.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Package index"><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Package index"><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
 
 
@@ -13,7 +13,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -34,13 +34,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -50,7 +58,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -170,9 +179,23 @@ <h2 id="changing-model-parameters">Changing model parameters<a class="anchor" ar
         <dt>
 
           <code><a href="renameGear.html">renameGear()</a></code>
-          <span class="badge lifecycle lifecycle-experimental">experimental</span>
+
         </dt>
         <dd>Rename gears</dd>
+
+        <dt>
+
+          <code><a href="expandSizeGrid.html">expandSizeGrid()</a></code>
+
+        </dt>
+        <dd>Expand the size grid</dd>
+
+        <dt>
+
+          <code><a href="use_predation_diffusion.html">use_predation_diffusion()</a></code> <code><a href="use_predation_diffusion.html">`use_predation_diffusion&lt;-`()</a></code>
+
+        </dt>
+        <dd>Get or set the use_predation_diffusion flag</dd>
       </dl></div><div class="section level2">
       <h2 id="steady-state-tuning">Steady state tuning<a class="anchor" aria-label="anchor" href="#steady-state-tuning"></a></h2>
 
@@ -195,7 +218,7 @@ <h2 id="steady-state-tuning">Steady state tuning<a class="anchor" aria-label="an
           <code><a href="steadySingleSpecies.html">steadySingleSpecies()</a></code>
           <span class="badge lifecycle lifecycle-experimental">experimental</span>
         </dt>
-        <dd>Set initial abundances to single-species steady state abundances</dd>
+        <dd>Set initial abundances to solution of steady-state equation with current rates</dd>
 
         <dt>
 
@@ -252,6 +275,13 @@ <h2 id="steady-state-tuning">Steady state tuning<a class="anchor" aria-label="an
           <span class="badge lifecycle lifecycle-experimental">experimental</span>
         </dt>
         <dd>Change scale of the model</dd>
+
+        <dt>
+
+          <code><a href="scaleRates.html">scaleRates()</a></code>
+
+        </dt>
+        <dd>Rescale all rates in a mizer model</dd>
       </dl></div><div class="section level2">
       <h2 id="dynamics-tuning">Dynamics tuning<a class="anchor" aria-label="anchor" href="#dynamics-tuning"></a></h2>
 
@@ -265,7 +295,7 @@ <h2 id="dynamics-tuning">Dynamics tuning<a class="anchor" aria-label="anchor" hr
       <dl><dt>
 
           <code><a href="setBevertonHolt.html">setBevertonHolt()</a></code>
-          <span class="badge lifecycle lifecycle-experimental">experimental</span>
+
         </dt>
         <dd>Set Beverton-Holt reproduction without changing the steady state</dd>
 
@@ -294,10 +324,10 @@ <h2 id="sharing-models">Sharing models<a class="anchor" aria-label="anchor" href
 
         <dt>
 
-          <code><a href="saveParams.html">saveParams()</a></code> <code><a href="saveParams.html">readParams()</a></code>
+          <code><a href="saveParams.html">saveParams()</a></code> <code><a href="saveParams.html">readParams()</a></code> <code><a href="saveParams.html">saveSim()</a></code> <code><a href="saveParams.html">readSim()</a></code>
           <span class="badge lifecycle lifecycle-experimental">experimental</span>
         </dt>
-        <dd>Save a MizerParams object to file, and restore it</dd>
+        <dd>Save and restore mizer objects</dd>
       </dl></div><div class="section level2">
       <h2 id="running-simulations">Running simulations<a class="anchor" aria-label="anchor" href="#running-simulations"></a></h2>
 
@@ -382,6 +412,13 @@ <h2 id="analysing-results">Analysing results<a class="anchor" aria-label="anchor
         </dt>
         <dd>Description of summary functions</dd>
 
+        <dt>
+
+          <code><a href="getBiomass.html">getBiomass()</a></code>
+
+        </dt>
+        <dd>Calculate the total biomass of each species within a size range at each time step.</dd>
+
         <dt>
 
           <code><a href="getDiet.html">getDiet()</a></code>
@@ -391,10 +428,10 @@ <h2 id="analysing-results">Analysing results<a class="anchor" aria-label="anchor
 
         <dt>
 
-          <code><a href="getBiomass.html">getBiomass()</a></code>
+          <code><a href="getGrowthCurves.html">getGrowthCurves()</a></code>
 
         </dt>
-        <dd>Calculate the total biomass of each species within a size range at each time step.</dd>
+        <dd>Get growth curves giving weight as a function of age</dd>
 
         <dt>
 
@@ -412,24 +449,31 @@ <h2 id="analysing-results">Analysing results<a class="anchor" aria-label="anchor
 
         <dt>
 
-          <code><a href="getYield.html">getYield()</a></code>
+          <code><a href="getTrophicLevel.html">getTrophicLevel()</a></code>
+          <span class="badge lifecycle lifecycle-experimental">experimental</span>
+        </dt>
+        <dd>Get trophic level of individuals at size</dd>
+
+        <dt>
 
+          <code><a href="getTrophicLevelBySpecies.html">getTrophicLevelBySpecies()</a></code>
+          <span class="badge lifecycle lifecycle-experimental">experimental</span>
         </dt>
-        <dd>Calculate the rate at which biomass of each species is fished</dd>
+        <dd>Get mean trophic level of each species</dd>
 
         <dt>
 
-          <code><a href="getYieldGear.html">getYieldGear()</a></code>
+          <code><a href="getYield.html">getYield()</a></code>
 
         </dt>
-        <dd>Calculate the rate at which biomass of each species is fished by each gear</dd>
+        <dd>Calculate the rate at which biomass of each species is fished</dd>
 
         <dt>
 
-          <code><a href="getGrowthCurves.html">getGrowthCurves()</a></code>
+          <code><a href="getYieldGear.html">getYieldGear()</a></code>
 
         </dt>
-        <dd>Get growth curves giving weight as a function of age</dd>
+        <dd>Calculate the rate at which biomass of each species is fished by each gear</dd>
       </dl></div><div class="section level2">
       <h2 id="calculating-indicators">Calculating indicators<a class="anchor" aria-label="anchor" href="#calculating-indicators"></a></h2>
 
@@ -449,17 +493,17 @@ <h2 id="calculating-indicators">Calculating indicators<a class="anchor" aria-lab
 
         <dt>
 
-          <code><a href="getProportionOfLargeFish.html">getProportionOfLargeFish()</a></code>
+          <code><a href="getCommunitySlope.html">getCommunitySlope()</a></code>
 
         </dt>
-        <dd>Calculate the proportion of large fish</dd>
+        <dd>Calculate the slope of the community abundance</dd>
 
         <dt>
 
-          <code><a href="getCommunitySlope.html">getCommunitySlope()</a></code>
+          <code><a href="getMeanMaxWeight.html">getMeanMaxWeight()</a></code>
 
         </dt>
-        <dd>Calculate the slope of the community abundance</dd>
+        <dd>Calculate the mean maximum weight of the community</dd>
 
         <dt>
 
@@ -470,10 +514,10 @@ <h2 id="calculating-indicators">Calculating indicators<a class="anchor" aria-lab
 
         <dt>
 
-          <code><a href="getMeanMaxWeight.html">getMeanMaxWeight()</a></code>
+          <code><a href="getProportionOfLargeFish.html">getProportionOfLargeFish()</a></code>
 
         </dt>
-        <dd>Calculate the mean maximum weight of the community</dd>
+        <dd>Calculate the proportion of large fish</dd>
       </dl></div><div class="section level2">
       <h2 id="plotting-results">Plotting results<a class="anchor" aria-label="anchor" href="#plotting-results"></a></h2>
 
@@ -500,10 +544,10 @@ <h2 id="plotting-results">Plotting results<a class="anchor" aria-label="anchor"
 
         <dt>
 
-          <code><a href="plot-MizerParams-missing-method.html">plot(<i>&lt;MizerParams&gt;</i>,<i>&lt;missing&gt;</i>)</a></code>
+          <code><a href="plot.html">plot(<i>&lt;ArraySpeciesBySize&gt;</i>)</a></code> <code><a href="plot.html">ggplotly(<i>&lt;ArraySpeciesBySize&gt;</i>)</a></code> <code><a href="plot.html">plot(<i>&lt;ArraySpeciesByTime&gt;</i>)</a></code> <code><a href="plot.html">ggplotly(<i>&lt;ArraySpeciesByTime&gt;</i>)</a></code>
 
         </dt>
-        <dd>Summary plot for <code>MizerParams</code> objects</dd>
+        <dd>Plotting outputs</dd>
 
         <dt>
 
@@ -512,13 +556,6 @@ <h2 id="plotting-results">Plotting results<a class="anchor" aria-label="anchor"
         </dt>
         <dd>Plot the biomass of species through time</dd>
 
-        <dt>
-
-          <code><a href="plotBiomassObservedVsModel.html">plotBiomassObservedVsModel()</a></code> <code><a href="plotBiomassObservedVsModel.html">plotlyBiomassObservedVsModel()</a></code>
-          <span class="badge lifecycle lifecycle-experimental">experimental</span>
-        </dt>
-        <dd>Plotting observed vs. model biomass data</dd>
-
         <dt>
 
           <code><a href="plotDiet.html">plotDiet()</a></code>
@@ -549,7 +586,14 @@ <h2 id="plotting-results">Plotting results<a class="anchor" aria-label="anchor"
 
         <dt>
 
-          <code><a href="plotMizerSim.html">plot(<i>&lt;MizerSim&gt;</i>,<i>&lt;missing&gt;</i>)</a></code>
+          <code><a href="plotMizerParams.html">plot(<i>&lt;MizerParams&gt;</i>)</a></code>
+
+        </dt>
+        <dd>Summary plot for <code>MizerParams</code> objects</dd>
+
+        <dt>
+
+          <code><a href="plotMizerSim.html">plot(<i>&lt;MizerSim&gt;</i>)</a></code>
 
         </dt>
         <dd>Summary plot for <code>MizerSim</code> objects</dd>
@@ -582,6 +626,13 @@ <h2 id="plotting-results">Plotting results<a class="anchor" aria-label="anchor"
         </dt>
         <dd>Plot the total yield of each species by gear through time</dd>
 
+        <dt>
+
+          <code><a href="plotBiomassObservedVsModel.html">plotBiomassObservedVsModel()</a></code> <code><a href="plotBiomassObservedVsModel.html">plotlyBiomassObservedVsModel()</a></code>
+          <span class="badge lifecycle lifecycle-experimental">experimental</span>
+        </dt>
+        <dd>Plotting observed vs. model biomass data</dd>
+
         <dt>
 
           <code><a href="plotYieldObservedVsModel.html">plotYieldObservedVsModel()</a></code> <code><a href="plotYieldObservedVsModel.html">plotlyYieldObservedVsModel()</a></code>
@@ -608,14 +659,14 @@ <h2 id="manipulating-species-list">Manipulating species list<a class="anchor" ar
       <dl><dt>
 
           <code><a href="addSpecies.html">addSpecies()</a></code>
-          <span class="badge lifecycle lifecycle-experimental">experimental</span>
+
         </dt>
         <dd>Add new species</dd>
 
         <dt>
 
           <code><a href="removeSpecies.html">removeSpecies()</a></code>
-          <span class="badge lifecycle lifecycle-experimental">experimental</span>
+
         </dt>
         <dd>Remove species</dd>
 
@@ -625,6 +676,20 @@ <h2 id="manipulating-species-list">Manipulating species list<a class="anchor" ar
           <span class="badge lifecycle lifecycle-experimental">experimental</span>
         </dt>
         <dd>Rename species</dd>
+
+        <dt>
+
+          <code><a href="markBackground.html">markBackground()</a></code>
+
+        </dt>
+        <dd>Designate species as background species</dd>
+
+        <dt>
+
+          <code><a href="removeBackgroundSpecies.html">removeBackgroundSpecies()</a></code>
+
+        </dt>
+        <dd>Remove all background species</dd>
       </dl></div><div class="section level2">
       <h2 id="setting-custom-rates">Setting custom rates<a class="anchor" aria-label="anchor" href="#setting-custom-rates"></a></h2>
 
@@ -677,6 +742,13 @@ <h2 id="setting-custom-rates">Setting custom rates<a class="anchor" aria-label="
         </dt>
         <dd>Set metabolic rate</dd>
 
+        <dt>
+
+          <code><a href="setExtDiffusion.html">setExtDiffusion()</a></code> <code><a href="setExtDiffusion.html">ext_diffusion()</a></code> <code><a href="setExtDiffusion.html">`ext_diffusion&lt;-`()</a></code>
+
+        </dt>
+        <dd>Set external diffusion rate</dd>
+
         <dt>
 
           <code><a href="setExtMort.html">setExtMort()</a></code> <code><a href="setExtMort.html">getExtMort()</a></code> <code><a href="setExtMort.html">ext_mort()</a></code> <code><a href="setExtMort.html">`ext_mort&lt;-`()</a></code>
@@ -716,17 +788,10 @@ <h2 id="calculating-rates">Calculating rates<a class="anchor" aria-label="anchor
 
       <dl><dt>
 
-          <code><a href="getRates.html">getRates()</a></code>
+          <code><a href="getDiffusion.html">getDiffusion()</a></code>
 
         </dt>
-        <dd>Get all rates</dd>
-
-        <dt>
-
-          <code><a href="getEncounter.html">getEncounter()</a></code>
-
-        </dt>
-        <dd>Get encounter rate</dd>
+        <dd>Get diffusion rate from predation</dd>
 
         <dt>
 
@@ -749,6 +814,13 @@ <h2 id="calculating-rates">Calculating rates<a class="anchor" aria-label="anchor
         </dt>
         <dd>Get energy rate available for reproduction and growth</dd>
 
+        <dt>
+
+          <code><a href="getEncounter.html">getEncounter()</a></code>
+
+        </dt>
+        <dd>Get encounter rate</dd>
+
         <dt>
 
           <code><a href="getFMort.html">getFMort()</a></code>
@@ -772,10 +844,10 @@ <h2 id="calculating-rates">Calculating rates<a class="anchor" aria-label="anchor
 
         <dt>
 
-          <code><a href="getCriticalFeedingLevel.html">getCriticalFeedingLevel()</a></code>
+          <code><a href="getFlux.html">getFlux()</a></code>
 
         </dt>
-        <dd>Get critical feeding level</dd>
+        <dd>Get flux into size bins</dd>
 
         <dt>
 
@@ -784,13 +856,6 @@ <h2 id="calculating-rates">Calculating rates<a class="anchor" aria-label="anchor
         </dt>
         <dd>Get total mortality rate</dd>
 
-        <dt>
-
-          <code><a href="getResourceMort.html">getResourceMort()</a></code>
-
-        </dt>
-        <dd>Get predation mortality rate for resource</dd>
-
         <dt>
 
           <code><a href="getPredMort.html">getPredMort()</a></code>
@@ -818,6 +883,27 @@ <h2 id="calculating-rates">Calculating rates<a class="anchor" aria-label="anchor
 
         </dt>
         <dd>Get density independent rate of egg production</dd>
+
+        <dt>
+
+          <code><a href="getRates.html">getRates()</a></code>
+
+        </dt>
+        <dd>Get all rates</dd>
+
+        <dt>
+
+          <code><a href="getResourceMort.html">getResourceMort()</a></code>
+
+        </dt>
+        <dd>Get predation mortality rate for resource</dd>
+
+        <dt>
+
+          <code><a href="getCriticalFeedingLevel.html">getCriticalFeedingLevel()</a></code>
+
+        </dt>
+        <dd>Get critical feeding level</dd>
       </dl></div><div class="section level2">
       <h2 id="extending-mizer">Extending Mizer<a class="anchor" aria-label="anchor" href="#extending-mizer"></a></h2>
 
@@ -837,38 +923,59 @@ <h2 id="extending-mizer">Extending Mizer<a class="anchor" aria-label="anchor" hr
 
         <dt>
 
-          <code><a href="setComponent.html">setComponent()</a></code> <code><a href="setComponent.html">removeComponent()</a></code>
+          <code><a href="setComponent.html">setComponent()</a></code> <code><a href="setComponent.html">removeComponent()</a></code> <code><a href="setComponent.html">getComponent()</a></code>
 
         </dt>
         <dd>Add a dynamical ecosystem component</dd>
 
         <dt>
 
-          <code><a href="getComponent.html">getComponent()</a></code>
+          <code><a href="initialNOther-set.html">`initialNOther&lt;-`()</a></code> <code><a href="initialNOther-set.html">initialNOther()</a></code>
 
         </dt>
-        <dd>Get information about other ecosystem components</dd>
+        <dd>Initial values for other ecosystem components</dd>
 
         <dt>
 
-          <code><a href="initialNOther-set.html">`initialNOther&lt;-`()</a></code> <code><a href="initialNOther-set.html">initialNOther()</a></code>
+          <code><a href="NOther.html">NOther()</a></code> <code><a href="NOther.html">finalNOther()</a></code>
 
         </dt>
-        <dd>Initial values for other ecosystem components</dd>
+        <dd>Time series of other components</dd>
 
         <dt>
 
-          <code><a href="NOther.html">NOther()</a></code>
+          <code><a href="clearExtensionChain.html">clearExtensionChain()</a></code>
 
         </dt>
-        <dd>Time series of other components</dd>
+        <dd>Clear the registered extension chain</dd>
 
         <dt>
 
-          <code><a href="finalNOther.html">finalNOther()</a></code>
+          <code><a href="coerceToExtensionClass.html">coerceToExtensionClass()</a></code>
 
         </dt>
-        <dd>Values of other ecosystem components at end of simulation</dd>
+        <dd>Coerce a mizer object to its registered extension class</dd>
+
+        <dt>
+
+          <code><a href="getRegisteredExtensions.html">getRegisteredExtensions()</a></code>
+
+        </dt>
+        <dd>Get the registered mizer extension chain</dd>
+
+        <dt>
+
+          <code><a href="registerExtension.html">registerExtension()</a></code>
+
+        </dt>
+        <dd>Register a single mizer extension for this R session</dd>
+
+        <dt>
+
+          <code><a href="registerExtensions.html">registerExtensions()</a></code>
+
+        </dt>
+        <dd>Register mizer extensions for this R session</dd>
 
         <dt>
 
@@ -1039,12 +1146,26 @@ <h2 id="reproduction-functions">Reproduction functions<a class="anchor" aria-lab
         </dt>
         <dd>Give density-independent reproduction rate</dd>
 
+        <dt>
+
+          <code><a href="projectRDD.html">projectRDD()</a></code>
+
+        </dt>
+        <dd>Get density-dependent reproduction rate during projection</dd>
+
         <dt>
 
           <code><a href="getReproductionLevel.html">getReproductionLevel()</a></code>
-          <span class="badge lifecycle lifecycle-experimental">experimental</span>
+
         </dt>
         <dd>Get reproduction level</dd>
+
+        <dt>
+
+          <code><a href="getRequiredRDD.html">getRequiredRDD()</a></code>
+
+        </dt>
+        <dd>Determine reproduction rate needed for initial egg abundance</dd>
       </dl></div><div class="section level2">
       <h2 id="internal-rate-functions">Internal rate functions<a class="anchor" aria-label="anchor" href="#internal-rate-functions"></a></h2>
 
@@ -1057,42 +1178,49 @@ <h2 id="internal-rate-functions">Internal rate functions<a class="anchor" aria-l
 
       <dl><dt>
 
-          <code><a href="mizerRates.html">mizerRates()</a></code>
+          <code><a href="mizerRates.html">mizerRates()</a></code> <code><a href="mizerRates.html">projectRates()</a></code>
 
         </dt>
         <dd>Get all rates needed to project standard mizer model</dd>
 
         <dt>
 
-          <code><a href="mizerEGrowth.html">mizerEGrowth()</a></code>
+          <code><a href="mizerDiffusion.html">projectDiffusion()</a></code> <code><a href="mizerDiffusion.html">mizerDiffusion()</a></code>
+
+        </dt>
+        <dd>Calculate diffusion rate</dd>
+
+        <dt>
+
+          <code><a href="mizerEGrowth.html">projectEGrowth()</a></code> <code><a href="mizerEGrowth.html">mizerEGrowth()</a></code>
 
         </dt>
         <dd>Get energy rate available for growth needed to project standard mizer model</dd>
 
         <dt>
 
-          <code><a href="mizerERepro.html">mizerERepro()</a></code>
+          <code><a href="mizerERepro.html">projectERepro()</a></code> <code><a href="mizerERepro.html">mizerERepro()</a></code>
 
         </dt>
         <dd>Get energy rate available for reproduction needed to project standard mizer model</dd>
 
         <dt>
 
-          <code><a href="mizerEReproAndGrowth.html">mizerEReproAndGrowth()</a></code>
+          <code><a href="mizerEReproAndGrowth.html">projectEReproAndGrowth()</a></code> <code><a href="mizerEReproAndGrowth.html">mizerEReproAndGrowth()</a></code>
 
         </dt>
         <dd>Get energy rate available for reproduction and growth needed to project standard mizer model</dd>
 
         <dt>
 
-          <code><a href="mizerEncounter.html">mizerEncounter()</a></code>
+          <code><a href="mizerEncounter.html">projectEncounter()</a></code> <code><a href="mizerEncounter.html">mizerEncounter()</a></code>
 
         </dt>
-        <dd>Get encounter rate needed to project standard mizer model</dd>
+        <dd>Get encounter rate during projection</dd>
 
         <dt>
 
-          <code><a href="mizerFMort.html">mizerFMort()</a></code>
+          <code><a href="mizerFMort.html">projectFMort()</a></code> <code><a href="mizerFMort.html">mizerFMort()</a></code>
 
         </dt>
         <dd>Get the total fishing mortality rate from all fishing gears</dd>
@@ -1106,42 +1234,42 @@ <h2 id="internal-rate-functions">Internal rate functions<a class="anchor" aria-l
 
         <dt>
 
-          <code><a href="mizerFeedingLevel.html">mizerFeedingLevel()</a></code>
+          <code><a href="mizerFeedingLevel.html">projectFeedingLevel()</a></code> <code><a href="mizerFeedingLevel.html">mizerFeedingLevel()</a></code>
 
         </dt>
         <dd>Get feeding level needed to project standard mizer model</dd>
 
         <dt>
 
-          <code><a href="mizerMort.html">mizerMort()</a></code>
+          <code><a href="mizerMort.html">projectMort()</a></code> <code><a href="mizerMort.html">mizerMort()</a></code>
 
         </dt>
         <dd>Get total mortality rate needed to project standard mizer model</dd>
 
         <dt>
 
-          <code><a href="mizerPredMort.html">mizerPredMort()</a></code>
+          <code><a href="mizerPredMort.html">projectPredMort()</a></code> <code><a href="mizerPredMort.html">mizerPredMort()</a></code>
 
         </dt>
         <dd>Get total predation mortality rate needed to project standard mizer model</dd>
 
         <dt>
 
-          <code><a href="mizerPredRate.html">mizerPredRate()</a></code>
+          <code><a href="mizerPredRate.html">projectPredRate()</a></code> <code><a href="mizerPredRate.html">mizerPredRate()</a></code>
 
         </dt>
         <dd>Get predation rate needed to project standard mizer model</dd>
 
         <dt>
 
-          <code><a href="mizerRDI.html">mizerRDI()</a></code>
+          <code><a href="mizerRDI.html">projectRDI()</a></code> <code><a href="mizerRDI.html">mizerRDI()</a></code>
 
         </dt>
         <dd>Get density-independent rate of reproduction needed to project standard mizer model</dd>
 
         <dt>
 
-          <code><a href="mizerResourceMort.html">mizerResourceMort()</a></code>
+          <code><a href="mizerResourceMort.html">projectResourceMort()</a></code> <code><a href="mizerResourceMort.html">mizerResourceMort()</a></code>
 
         </dt>
         <dd>Get predation mortality rate for resource needed to project standard mizer model</dd>
@@ -1255,24 +1383,24 @@ <h2 id="internal-helper-functions">Internal helper functions<a class="anchor" ar
 
         <dt>
 
-          <code><a href="get_required_reproduction.html">get_required_reproduction()</a></code>
+          <code><a href="get_size_range_array.html">get_size_range_array()</a></code>
 
         </dt>
-        <dd>Determine reproduction rate needed for initial egg abundance</dd>
+        <dd>Get size range array</dd>
 
         <dt>
 
-          <code><a href="get_size_range_array.html">get_size_range_array()</a></code>
+          <code><a href="get_steady_state_n.html">get_steady_state_n()</a></code>
 
         </dt>
-        <dd>Get size range array</dd>
+        <dd>Calculate steady state abundance</dd>
 
         <dt>
 
           <code><a href="get_time_elements.html">get_time_elements()</a></code>
 
         </dt>
-        <dd>Get_time_elements</dd>
+        <dd>Get array indices for a time range in a MizerSim object</dd>
 
         <dt>
 
@@ -1288,6 +1416,13 @@ <h2 id="internal-helper-functions">Internal helper functions<a class="anchor" ar
         </dt>
         <dd>Determine whether a MizerParams or MizerSim object needs to be upgraded</dd>
 
+        <dt>
+
+          <code><a href="project_n.html">project_n()</a></code> <code><a href="project_n.html">project_n_no_diffusion()</a></code>
+
+        </dt>
+        <dd>Project values for first time step of Euler method</dd>
+
         <dt>
 
           <code><a href="project_simple.html">project_simple()</a></code>
@@ -1348,7 +1483,7 @@ <h2 id="classes">Classes<a class="anchor" aria-label="anchor" href="#classes"></
 
         <dt>
 
-          <code><a href="summary-MizerParams-method.html">summary(<i>&lt;MizerParams&gt;</i>)</a></code>
+          <code><a href="summary.MizerParams.html">summary(<i>&lt;MizerParams&gt;</i>)</a></code>
 
         </dt>
         <dd>Summarize MizerParams object</dd>
@@ -1356,7 +1491,7 @@ <h2 id="classes">Classes<a class="anchor" aria-label="anchor" href="#classes"></
         <dt>
 
           <code><a href="compareParams.html">compareParams()</a></code>
-          <span class="badge lifecycle lifecycle-experimental">experimental</span>
+
         </dt>
         <dd>Compare two MizerParams objects and print out differences</dd>
 
@@ -1383,7 +1518,7 @@ <h2 id="classes">Classes<a class="anchor" aria-label="anchor" href="#classes"></
 
         <dt>
 
-          <code><a href="summary-MizerSim-method.html">summary(<i>&lt;MizerSim&gt;</i>)</a></code>
+          <code><a href="summary.MizerSim.html">summary(<i>&lt;MizerSim&gt;</i>)</a></code>
 
         </dt>
         <dd>Summarize MizerSim object</dd>
@@ -1408,6 +1543,34 @@ <h2 id="classes">Classes<a class="anchor" aria-label="anchor" href="#classes"></
 
         </dt>
         <dd>Extract the parameter object underlying a simulation</dd>
+
+        <dt>
+
+          <code><a href="ArraySpeciesBySize.html">ArraySpeciesBySize()</a></code>
+
+        </dt>
+        <dd>S3 class for species x size rate arrays</dd>
+
+        <dt>
+
+          <code><a href="is.ArraySpeciesBySize.html">is.ArraySpeciesBySize()</a></code>
+
+        </dt>
+        <dd>Test if an object is a ArraySpeciesBySize</dd>
+
+        <dt>
+
+          <code><a href="ArraySpeciesByTime.html">ArraySpeciesByTime()</a></code>
+
+        </dt>
+        <dd>S3 class for time x species arrays</dd>
+
+        <dt>
+
+          <code><a href="is.ArraySpeciesByTime.html">is.ArraySpeciesByTime()</a></code>
+
+        </dt>
+        <dd>Test if an object is a ArraySpeciesByTime</dd>
       </dl></div><div class="section level2">
       <h2 id="example-parameter-sets">Example parameter sets<a class="anchor" aria-label="anchor" href="#example-parameter-sets"></a></h2>
 
diff --git a/docs/reference/indicator_functions.html b/docs/reference/indicator_functions.html
index c9288b88f..0acb93346 100644
--- a/docs/reference/indicator_functions.html
+++ b/docs/reference/indicator_functions.html
@@ -5,9 +5,9 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Description of indicator functions — indicator_functions"><meta name="description" content="Mizer provides a range of functions to calculate indicators
-from a MizerSim object."><meta property="og:description" content="Mizer provides a range of functions to calculate indicators
-from a MizerSim object."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Description of indicator functions — indicator_functions"><meta name="description" content="Mizer provides a range of functions to calculate indicators
+from a MizerSim or MizerParams object."><meta property="og:description" content="Mizer provides a range of functions to calculate indicators
+from a MizerSim or MizerParams object."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
 
 
@@ -15,7 +15,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -36,13 +36,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -52,7 +60,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -71,19 +80,22 @@
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Description of indicator functions</h1>
-      <small class="dont-index">Source: <a href="https://github.com/sizespectrum/mizer/blob/HEAD/R/summary_methods.R" class="external-link"><code>R/summary_methods.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/sizespectrum/mizer/blob/HEAD/R/indicator_functions.R" class="external-link"><code>R/indicator_functions.R</code></a></small>
       <div class="d-none name"><code>indicator_functions.Rd</code></div>
     </div>
 
     <div class="ref-description section level2">
     <p>Mizer provides a range of functions to calculate indicators
-from a MizerSim object.</p>
+from a MizerSim or MizerParams object.</p>
     </div>
 
 
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
-    <p>A list of available indicator functions for MizerSim objects is given in the table below</p><table class="table table"><tr><td>Function</td><td>Returns</td><td>Description</td></tr><tr><td><code><a href="getProportionOfLargeFish.html">getProportionOfLargeFish()</a></code></td><td>A vector with values at each time step.</td><td>Calculates the proportion of large fish through time. The threshold value can be specified. It is possible to calculation the proportion of large fish based on either length or weight.</td></tr><tr><td><code><a href="getMeanWeight.html">getMeanWeight()</a></code></td><td>A vector with values at each saved time step.</td><td>The mean weight of the community through time. This is calculated as the total biomass of the community divided by the total abundance.</td></tr><tr><td><code><a href="getMeanMaxWeight.html">getMeanMaxWeight()</a></code></td><td>Depends on the measure argument. If measure = “both” then you get a matrix with two columns, one with values by numbers, the other with values by biomass at each saved time step. If measure = “numbers” or “biomass” you get a vector of the respective values at each saved time step</td><td>The mean maximum weight of the community through time. This can be calculated by numbers or by biomass. See the help file for more details.</td></tr><tr><td><code><a href="getCommunitySlope.html">getCommunitySlope()</a></code></td><td>A data.frame with four columns: time step, slope, intercept and the coefficient of determination.</td><td>Calculates the slope of the community abundance spectrum through time by performing a linear regression on the logged total numerical abundance and logged body size.</td></tr></table></div>
+    <p>When called with a <code>MizerSim</code> object, these functions return a time series
+of values. When called with a <code>MizerParams</code> object, they return a single
+value calculated from the initial abundances stored in the params object.</p>
+<p>A list of available indicator functions is given in the table below</p><table class="table table"><tr><td>Function</td><td>Returns</td><td>Description</td></tr><tr><td><code><a href="getProportionOfLargeFish.html">getProportionOfLargeFish()</a></code></td><td>A vector with values at each time step (or a single value for MizerParams).</td><td>Calculates the proportion of large fish through time. The threshold value can be specified. It is possible to calculation the proportion of large fish based on either length or weight.</td></tr><tr><td><code><a href="getMeanWeight.html">getMeanWeight()</a></code></td><td>A vector with values at each saved time step (or a single value for MizerParams).</td><td>The mean weight of the community through time. This is calculated as the total biomass of the community divided by the total abundance.</td></tr><tr><td><code><a href="getMeanMaxWeight.html">getMeanMaxWeight()</a></code></td><td>Depends on the measure argument. If measure = “both” then you get a matrix with two columns, one with values by numbers, the other with values by biomass at each saved time step (or a named vector for MizerParams). If measure = “numbers” or “biomass” you get a vector of the respective values at each saved time step (or a single value for MizerParams).</td><td>The mean maximum weight of the community through time. This can be calculated by numbers or by biomass. See the help file for more details.</td></tr><tr><td><code><a href="getCommunitySlope.html">getCommunitySlope()</a></code></td><td>A data.frame with four columns: time step, slope, intercept and the coefficient of determination (or a single-row data.frame for MizerParams).</td><td>Calculates the slope of the community abundance spectrum through time by performing a linear regression on the logged total numerical abundance and logged body size.</td></tr></table></div>
     <div class="section level2">
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
     <div class="dont-index"><p><a href="summary_functions.html">summary_functions</a>, <a href="plotting_functions.html">plotting_functions</a></p></div>
diff --git a/docs/reference/initialN-set.html b/docs/reference/initialN-set.html
index 6163add41..15191dc4a 100644
--- a/docs/reference/initialN-set.html
+++ b/docs/reference/initialN-set.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Initial values for fish spectra — initialN&lt;-"><meta name="description" content="Values used as starting values for simulations with project()."><meta property="og:description" content="Values used as starting values for simulations with project()."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Initial values for fish spectra — initialN&lt;-"><meta name="description" content="Values used as starting values for simulations with project()."><meta property="og:description" content="Values used as starting values for simulations with project()."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
 
 
@@ -13,7 +13,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -34,13 +34,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -50,7 +58,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -81,6 +90,12 @@
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">initialN</span><span class="op">(</span><span class="va">params</span><span class="op">)</span> <span class="op">&lt;-</span> <span class="va">value</span></span>
 <span></span>
+<span><span class="fu">initialN</span><span class="op">(</span><span class="va">object</span><span class="op">)</span></span>
+<span></span>
+<span><span class="co"># S3 method for class 'MizerParams'</span></span>
+<span><span class="fu">initialN</span><span class="op">(</span><span class="va">object</span><span class="op">)</span></span>
+<span></span>
+<span><span class="co"># S3 method for class 'MizerSim'</span></span>
 <span><span class="fu">initialN</span><span class="op">(</span><span class="va">object</span><span class="op">)</span></span></code></pre></div>
     </div>
 
@@ -103,8 +118,8 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    <p>A matrix with dimensions species x size holding the initial number
-densities for the fish spectra.</p>
+    <p>An <code>ArraySpeciesBySize</code> object with dimensions species x size holding
+the initial number densities for the fish spectra.</p>
     </div>
     <div class="section level2">
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
diff --git a/docs/reference/initialN.MizerParams.html b/docs/reference/initialN.MizerParams.html
new file mode 100644
index 000000000..2e571d3d1
--- /dev/null
+++ b/docs/reference/initialN.MizerParams.html
@@ -0,0 +1,8 @@
+<html>
+  <head>
+    <meta http-equiv="refresh" content="0;URL=https://sizespectrum.org/mizer/reference/initialN-set.html" />
+    <meta name="robots" content="noindex">
+    <link rel="canonical" href="https://sizespectrum.org/mizer/reference/initialN-set.html">
+  </head>
+</html>
+
diff --git a/docs/reference/initialN.MizerSim.html b/docs/reference/initialN.MizerSim.html
new file mode 100644
index 000000000..2e571d3d1
--- /dev/null
+++ b/docs/reference/initialN.MizerSim.html
@@ -0,0 +1,8 @@
+<html>
+  <head>
+    <meta http-equiv="refresh" content="0;URL=https://sizespectrum.org/mizer/reference/initialN-set.html" />
+    <meta name="robots" content="noindex">
+    <link rel="canonical" href="https://sizespectrum.org/mizer/reference/initialN-set.html">
+  </head>
+</html>
+
diff --git a/docs/reference/initialNOther-set.html b/docs/reference/initialNOther-set.html
index 1876950a0..a62bdc75a 100644
--- a/docs/reference/initialNOther-set.html
+++ b/docs/reference/initialNOther-set.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Initial values for other ecosystem components — initialNOther&lt;-"><meta name="description" content="Values used as starting values for simulations with project()."><meta property="og:description" content="Values used as starting values for simulations with project()."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Initial values for other ecosystem components — initialNOther&lt;-"><meta name="description" content="Values used as starting values for simulations with project()."><meta property="og:description" content="Values used as starting values for simulations with project()."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
 
 
@@ -13,7 +13,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -34,13 +34,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -50,7 +58,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -108,7 +117,16 @@ <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2
     </div>
     <div class="section level2">
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
-    <div class="dont-index"><p><code><a href="initialNResource-set.html">initialNResource()</a></code>, <code><a href="initialN-set.html">initialN()</a></code></p></div>
+    <div class="dont-index"><p><code><a href="initialNResource-set.html">initialNResource()</a></code>, <code><a href="initialN-set.html">initialN()</a></code></p>
+<p>Other extension tools:
+<code><a href="NOther.html">NOther()</a></code>,
+<code><a href="clearExtensionChain.html">clearExtensionChain()</a></code>,
+<code><a href="coerceToExtensionClass.html">coerceToExtensionClass()</a></code>,
+<code><a href="getRegisteredExtensions.html">getRegisteredExtensions()</a></code>,
+<code><a href="registerExtension.html">registerExtension()</a></code>,
+<code><a href="registerExtensions.html">registerExtensions()</a></code>,
+<code><a href="setComponent.html">setComponent()</a></code>,
+<code><a href="setRateFunction.html">setRateFunction()</a></code></p></div>
     </div>
 
   </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
diff --git a/docs/reference/initialNResource-set.html b/docs/reference/initialNResource-set.html
index 1aa76ad98..a2234b0fb 100644
--- a/docs/reference/initialNResource-set.html
+++ b/docs/reference/initialNResource-set.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Initial value for resource spectrum — initialNResource&lt;-"><meta name="description" content="Value used as starting value for simulations with project()."><meta property="og:description" content="Value used as starting value for simulations with project()."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Initial value for resource spectrum — initialNResource&lt;-"><meta name="description" content="Value used as starting value for simulations with project()."><meta property="og:description" content="Value used as starting value for simulations with project()."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
 
 
@@ -13,7 +13,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -34,13 +34,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -50,7 +58,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -81,6 +90,12 @@
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">initialNResource</span><span class="op">(</span><span class="va">params</span><span class="op">)</span> <span class="op">&lt;-</span> <span class="va">value</span></span>
 <span></span>
+<span><span class="fu">initialNResource</span><span class="op">(</span><span class="va">object</span><span class="op">)</span></span>
+<span></span>
+<span><span class="co"># S3 method for class 'MizerParams'</span></span>
+<span><span class="fu">initialNResource</span><span class="op">(</span><span class="va">object</span><span class="op">)</span></span>
+<span></span>
+<span><span class="co"># S3 method for class 'MizerSim'</span></span>
 <span><span class="fu">initialNResource</span><span class="op">(</span><span class="va">object</span><span class="op">)</span></span></code></pre></div>
     </div>
 
diff --git a/docs/reference/initialNResource.MizerParams.html b/docs/reference/initialNResource.MizerParams.html
new file mode 100644
index 000000000..f4da4f489
--- /dev/null
+++ b/docs/reference/initialNResource.MizerParams.html
@@ -0,0 +1,8 @@
+<html>
+  <head>
+    <meta http-equiv="refresh" content="0;URL=https://sizespectrum.org/mizer/reference/initialNResource-set.html" />
+    <meta name="robots" content="noindex">
+    <link rel="canonical" href="https://sizespectrum.org/mizer/reference/initialNResource-set.html">
+  </head>
+</html>
+
diff --git a/docs/reference/initialNResource.MizerSim.html b/docs/reference/initialNResource.MizerSim.html
new file mode 100644
index 000000000..f4da4f489
--- /dev/null
+++ b/docs/reference/initialNResource.MizerSim.html
@@ -0,0 +1,8 @@
+<html>
+  <head>
+    <meta http-equiv="refresh" content="0;URL=https://sizespectrum.org/mizer/reference/initialNResource-set.html" />
+    <meta name="robots" content="noindex">
+    <link rel="canonical" href="https://sizespectrum.org/mizer/reference/initialNResource-set.html">
+  </head>
+</html>
+
diff --git a/docs/reference/initial_effort.html b/docs/reference/initial_effort.html
index add8fe88d..7f4d2b847 100644
--- a/docs/reference/initial_effort.html
+++ b/docs/reference/initial_effort.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Initial fishing effort — initial_effort"><meta name="description" content="The fishing effort is a named vector, specifying for each fishing gear the
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Initial fishing effort — initial_effort"><meta name="description" content="The fishing effort is a named vector, specifying for each fishing gear the
 effort invested into fishing with that gear. The effort value for each gear
 is multiplied by the catchability and the selectivity to determine the
 fishing mortality imposed by that gear, see setFishing() for more details.
@@ -25,7 +25,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -46,13 +46,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -62,7 +70,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -124,7 +133,7 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    <p>Effort vector</p>
+    <p>A named effort vector ordered by gear.</p>
     </div>
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
@@ -135,7 +144,8 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
 <li><p>a named vector in which the gear names have a different order than in the
 params object. This is then sorted correctly.</p></li>
 <li><p>a named vector which only supplies values for some of the gears.
-The effort for the other gears is then set to zero.</p></li>
+The effort for the other gears is then set to the default effort returned
+by <code>validEffortVector()</code>, which depends on the defaults edition.</p></li>
 </ul><p>These conversions are done by the function <code>validEffortVector()</code>.</p>
 <p>An <code>effort</code> argument will lead to an error if it is either</p><ul><li><p>unnamed and of the wrong length</p></li>
 <li><p>named but where some names do not match any of the gears</p></li>
diff --git a/docs/reference/inter.html b/docs/reference/inter.html
index b5ac6f313..92ae8f1ce 100644
--- a/docs/reference/inter.html
+++ b/docs/reference/inter.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Alias for NS_interaction — inter"><meta name="description" content="
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Alias for NS_interaction — inter"><meta name="description" content="
 An alias provided for backward compatibility with mizer version &amp;lt;= 2.3"><meta property="og:description" content="
 An alias provided for backward compatibility with mizer version &amp;lt;= 2.3"><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
@@ -15,7 +15,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -36,13 +36,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -52,7 +60,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
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+      <img src="../logo.png" class="logo" alt=""><h1>Test if an object is a ArraySpeciesBySize</h1>
+      <small class="dont-index">Source: <a href="https://github.com/sizespectrum/mizer/blob/HEAD/R/ArraySpeciesBySize-class.R" class="external-link"><code>R/ArraySpeciesBySize-class.R</code></a></small>
+      <div class="d-none name"><code>is.ArraySpeciesBySize.Rd</code></div>
+    </div>
+
+    <div class="ref-description section level2">
+    <p>Test if an object is a ArraySpeciesBySize</p>
+    </div>
+
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">is.ArraySpeciesBySize</span><span class="op">(</span><span class="va">x</span><span class="op">)</span></span></code></pre></div>
+    </div>
+
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-x">x<a class="anchor" aria-label="anchor" href="#arg-x"></a></dt>
+<dd><p>An object to test.</p></dd>
+
+</dl></div>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p><code>TRUE</code> if <code>x</code> is an <code>ArraySpeciesBySize</code> object, <code>FALSE</code> otherwise.</p>
+    </div>
+
+    <div class="section level2">
+    <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="fu">is.ArraySpeciesBySize</span><span class="op">(</span><span class="fu"><a href="getEncounter.html">getEncounter</a></span><span class="op">(</span><span class="va">NS_params</span><span class="op">)</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [1] TRUE</span>
+<span class="r-in"><span><span class="fu">is.ArraySpeciesBySize</span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/matrix.html" class="external-link">matrix</a></span><span class="op">(</span><span class="fl">1</span><span class="op">:</span><span class="fl">4</span>, nrow <span class="op">=</span> <span class="fl">2</span><span class="op">)</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [1] FALSE</span>
+</code></pre></div>
+    </div>
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+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Test if an object is a ArraySpeciesByTime</h1>
+      <small class="dont-index">Source: <a href="https://github.com/sizespectrum/mizer/blob/HEAD/R/ArraySpeciesByTime-class.R" class="external-link"><code>R/ArraySpeciesByTime-class.R</code></a></small>
+      <div class="d-none name"><code>is.ArraySpeciesByTime.Rd</code></div>
+    </div>
+
+    <div class="ref-description section level2">
+    <p>Test if an object is a ArraySpeciesByTime</p>
+    </div>
+
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">is.ArraySpeciesByTime</span><span class="op">(</span><span class="va">x</span><span class="op">)</span></span></code></pre></div>
+    </div>
+
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-x">x<a class="anchor" aria-label="anchor" href="#arg-x"></a></dt>
+<dd><p>An object to test.</p></dd>
+
+</dl></div>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p><code>TRUE</code> if <code>x</code> is an <code>ArraySpeciesByTime</code> object, <code>FALSE</code> otherwise.</p>
+    </div>
+
+    <div class="section level2">
+    <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="fu">is.ArraySpeciesByTime</span><span class="op">(</span><span class="fu"><a href="getBiomass.html">getBiomass</a></span><span class="op">(</span><span class="va">NS_sim</span><span class="op">)</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [1] TRUE</span>
+<span class="r-in"><span><span class="fu">is.ArraySpeciesByTime</span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/matrix.html" class="external-link">matrix</a></span><span class="op">(</span><span class="fl">1</span><span class="op">:</span><span class="fl">4</span>, nrow <span class="op">=</span> <span class="fl">2</span><span class="op">)</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [1] FALSE</span>
+</code></pre></div>
+    </div>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside></div>
+
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diff --git a/docs/reference/isSuffixChain.html b/docs/reference/isSuffixChain.html
new file mode 100644
index 000000000..63be8f3a8
--- /dev/null
+++ b/docs/reference/isSuffixChain.html
@@ -0,0 +1,133 @@
+<!DOCTYPE html>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en-GB"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Test whether one extension chain is a suffix of another — isSuffixChain • mizer</title><!-- favicons --><link rel="icon" type="image/png" sizes="96x96" href="../favicon-96x96.png"><link rel="icon" type="”image/svg+xml”" href="../favicon.svg"><link rel="apple-touch-icon" sizes="180x180" href="../apple-touch-icon.png"><link rel="icon" sizes="any" href="../favicon.ico"><link rel="manifest" href="../site.webmanifest"><!-- mathjax math --><script src="https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/tex-mml-chtml.js" integrity="sha256-MASABpB4tYktI2Oitl4t+78w/lyA+D7b/s9GEP0JOGI=" crossorigin="anonymous"></script><script>
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+exactly for the overlapping tail."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
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+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Test whether one extension chain is a suffix of another</h1>
+      <small class="dont-index">Source: <a href="https://github.com/sizespectrum/mizer/blob/HEAD/R/registerExtensions.R" class="external-link"><code>R/registerExtensions.R</code></a></small>
+      <div class="d-none name"><code>isSuffixChain.Rd</code></div>
+    </div>
+
+    <div class="ref-description section level2">
+    <p>An empty <code>candidate</code> is always a suffix. Order and values must match
+exactly for the overlapping tail.</p>
+    </div>
+
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">isSuffixChain</span><span class="op">(</span><span class="va">candidate</span>, <span class="va">chain</span><span class="op">)</span></span></code></pre></div>
+    </div>
+
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-candidate">candidate<a class="anchor" aria-label="anchor" href="#arg-candidate"></a></dt>
+<dd><p>Named character vector to test.</p></dd>
+
+
+<dt id="arg-chain">chain<a class="anchor" aria-label="anchor" href="#arg-chain"></a></dt>
+<dd><p>Named character vector that may contain <code>candidate</code> as a tail.</p></dd>
+
+</dl></div>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p><code>TRUE</code> if <code>candidate</code> is a suffix of <code>chain</code>, <code>FALSE</code> otherwise.</p>
+    </div>
+
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside></div>
+
+
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+
diff --git a/docs/reference/isVersionRequirement.html b/docs/reference/isVersionRequirement.html
new file mode 100644
index 000000000..d08c56568
--- /dev/null
+++ b/docs/reference/isVersionRequirement.html
@@ -0,0 +1,126 @@
+<!DOCTYPE html>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en-GB"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Test whether a requirement string is a dotted version number — isVersionRequirement • mizer</title><!-- favicons --><link rel="icon" type="image/png" sizes="96x96" href="../favicon-96x96.png"><link rel="icon" type="”image/svg+xml”" href="../favicon.svg"><link rel="apple-touch-icon" sizes="180x180" href="../apple-touch-icon.png"><link rel="icon" sizes="any" href="../favicon.ico"><link rel="manifest" href="../site.webmanifest"><!-- mathjax math --><script src="https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/tex-mml-chtml.js" integrity="sha256-MASABpB4tYktI2Oitl4t+78w/lyA+D7b/s9GEP0JOGI=" crossorigin="anonymous"></script><script>
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+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Test whether a requirement string is a dotted version number</h1>
+      <small class="dont-index">Source: <a href="https://github.com/sizespectrum/mizer/blob/HEAD/R/registerExtensions.R" class="external-link"><code>R/registerExtensions.R</code></a></small>
+      <div class="d-none name"><code>isVersionRequirement.Rd</code></div>
+    </div>
+
+    <div class="ref-description section level2">
+    <p>Test whether a requirement string is a dotted version number</p>
+    </div>
+
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">isVersionRequirement</span><span class="op">(</span><span class="va">requirement</span><span class="op">)</span></span></code></pre></div>
+    </div>
+
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-requirement">requirement<a class="anchor" aria-label="anchor" href="#arg-requirement"></a></dt>
+<dd><p>Character string.</p></dd>
+
+</dl></div>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p><code>TRUE</code> if <code>requirement</code> matches <code>"X.Y.Z..."</code> (digits and dots only).</p>
+    </div>
+
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside></div>
+
+
+    <footer><div class="pkgdown-footer-left">
+  <p>Developed by <a href="https://www.york.ac.uk/maths/staff/gustav-delius/" class="external-link">Gustav Delius</a>, Finlay Scott, <a href="http://www.utas.edu.au/profiles/staff/imas/julia-blanchard" class="external-link">Julia Blanchard</a>, <a href="https://ken.haste.dk/" class="external-link">Ken Andersen</a>.</p>
+</div>
+
+<div class="pkgdown-footer-right">
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
+</div>
+
+    </footer></div>
+
+
+
+
+
+  </body></html>
+
diff --git a/docs/reference/knife_edge.html b/docs/reference/knife_edge.html
index fc2dac0e5..f675d40c0 100644
--- a/docs/reference/knife_edge.html
+++ b/docs/reference/knife_edge.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Weight based knife-edge selectivity function — knife_edge"><meta name="description" content="A knife-edge selectivity function where weights greater or equal to
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Weight based knife-edge selectivity function — knife_edge"><meta name="description" content="A knife-edge selectivity function where weights greater or equal to
 knife_edge_size are fully selected and no fish smaller than this size
 are selected."><meta property="og:description" content="A knife-edge selectivity function where weights greater or equal to
 knife_edge_size are fully selected and no fish smaller than this size
@@ -17,7 +17,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -38,13 +38,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -54,7 +62,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
diff --git a/docs/reference/l2w.html b/docs/reference/l2w.html
index be44215c3..e270797e5 100644
--- a/docs/reference/l2w.html
+++ b/docs/reference/l2w.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Length-weight conversion — l2w"><meta name="description" content="For each species, convert between length and weight using the relationship
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Length-weight conversion — l2w"><meta name="description" content="For each species, convert between length and weight using the relationship
 $$w_i = a_i l_i^{b_i}$$ or
 $$l_i = (w_i / a_i)^{1/b_i}$$
 where a and b are taken from the species parameter data frame and
@@ -21,7 +21,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -42,13 +42,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -58,7 +66,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
diff --git a/docs/reference/libs/plotly-binding-4.12.0/plotly.js b/docs/reference/libs/plotly-binding-4.12.0/plotly.js
new file mode 100644
index 000000000..7a2a143b6
--- /dev/null
+++ b/docs/reference/libs/plotly-binding-4.12.0/plotly.js
@@ -0,0 +1,941 @@
+
+HTMLWidgets.widget({
+  name: "plotly",
+  type: "output",
+
+  initialize: function(el, width, height) {
+    return {};
+  },
+
+  resize: function(el, width, height, instance) {
+    if (instance.autosize) {
+      var width = instance.width || width;
+      var height = instance.height || height;
+      Plotly.relayout(el.id, {width: width, height: height});
+    }
+  },  
+  
+  renderValue: function(el, x, instance) {
+    
+    // Plotly.relayout() mutates the plot input object, so make sure to 
+    // keep a reference to the user-supplied width/height *before*
+    // we call Plotly.plot();
+    var lay = x.layout || {};
+    instance.width = lay.width;
+    instance.height = lay.height;
+    instance.autosize = lay.autosize || true;
+    
+    /* 
+    / 'inform the world' about highlighting options this is so other
+    / crosstalk libraries have a chance to respond to special settings 
+    / such as persistent selection. 
+    / AFAIK, leaflet is the only library with such intergration
+    / https://github.com/rstudio/leaflet/pull/346/files#diff-ad0c2d51ce5fdf8c90c7395b102f4265R154
+    */
+    var ctConfig = crosstalk.var('plotlyCrosstalkOpts').set(x.highlight);
+      
+    if (typeof(window) !== "undefined") {
+      // make sure plots don't get created outside the network (for on-prem)
+      window.PLOTLYENV = window.PLOTLYENV || {};
+      window.PLOTLYENV.BASE_URL = x.base_url;
+      
+      // Enable persistent selection when shift key is down
+      // https://stackoverflow.com/questions/1828613/check-if-a-key-is-down
+      var persistOnShift = function(e) {
+        if (!e) window.event;
+        if (e.shiftKey) { 
+          x.highlight.persistent = true; 
+          x.highlight.persistentShift = true;
+        } else {
+          x.highlight.persistent = false; 
+          x.highlight.persistentShift = false;
+        }
+      };
+      
+      // Only relevant if we haven't forced persistent mode at command line
+      if (!x.highlight.persistent) {
+        window.onmousemove = persistOnShift;
+      }
+    }
+
+    var graphDiv = document.getElementById(el.id);
+    
+    // TODO: move the control panel injection strategy inside here...
+    HTMLWidgets.addPostRenderHandler(function() {
+      
+      // lower the z-index of the modebar to prevent it from highjacking hover
+      // (TODO: do this via CSS?)
+      // https://github.com/ropensci/plotly/issues/956
+      // https://www.w3schools.com/jsref/prop_style_zindex.asp
+      var modebars = document.querySelectorAll(".js-plotly-plot .plotly .modebar");
+      for (var i = 0; i < modebars.length; i++) {
+        modebars[i].style.zIndex = 1;
+      }
+    });
+      
+      // inject a "control panel" holding selectize/dynamic color widget(s)
+    if ((x.selectize || x.highlight.dynamic) && !instance.plotly) {
+      var flex = document.createElement("div");
+      flex.class = "plotly-crosstalk-control-panel";
+      flex.style = "display: flex; flex-wrap: wrap";
+      
+      // inject the colourpicker HTML container into the flexbox
+      if (x.highlight.dynamic) {
+        var pickerDiv = document.createElement("div");
+        
+        var pickerInput = document.createElement("input");
+        pickerInput.id = el.id + "-colourpicker";
+        pickerInput.placeholder = "asdasd";
+        
+        var pickerLabel = document.createElement("label");
+        pickerLabel.for = pickerInput.id;
+        pickerLabel.innerHTML = "Brush color&nbsp;&nbsp;";
+        
+        pickerDiv.appendChild(pickerLabel);
+        pickerDiv.appendChild(pickerInput);
+        flex.appendChild(pickerDiv);
+      }
+      
+      // inject selectize HTML containers (one for every crosstalk group)
+      if (x.selectize) {
+        var ids = Object.keys(x.selectize);
+        
+        for (var i = 0; i < ids.length; i++) {
+          var container = document.createElement("div");
+          container.id = ids[i];
+          container.style = "width: 80%; height: 10%";
+          container.class = "form-group crosstalk-input-plotly-highlight";
+          
+          var label = document.createElement("label");
+          label.for = ids[i];
+          label.innerHTML = x.selectize[ids[i]].group;
+          label.class = "control-label";
+          
+          var selectDiv = document.createElement("div");
+          var select = document.createElement("select");
+          select.multiple = true;
+          
+          selectDiv.appendChild(select);
+          container.appendChild(label);
+          container.appendChild(selectDiv);
+          flex.appendChild(container);
+        }
+      }
+      
+      // finally, insert the flexbox inside the htmlwidget container,
+      // but before the plotly graph div
+      graphDiv.parentElement.insertBefore(flex, graphDiv);
+      
+      if (x.highlight.dynamic) {
+        var picker = $("#" + pickerInput.id);
+        var colors = x.highlight.color || [];
+        // TODO: let users specify options?
+        var opts = {
+          value: colors[0],
+          showColour: "both",
+          palette: "limited",
+          allowedCols: colors.join(" "),
+          width: "20%",
+          height: "10%"
+        };
+        picker.colourpicker({changeDelay: 0});
+        picker.colourpicker("settings", opts);
+        picker.colourpicker("value", opts.value);
+        // inform crosstalk about a change in the current selection colour
+        var grps = x.highlight.ctGroups || [];
+        for (var i = 0; i < grps.length; i++) {
+          crosstalk.group(grps[i]).var('plotlySelectionColour')
+            .set(picker.colourpicker('value'));
+        }
+        picker.on("change", function() {
+          for (var i = 0; i < grps.length; i++) {
+            crosstalk.group(grps[i]).var('plotlySelectionColour')
+              .set(picker.colourpicker('value'));
+          }
+        });
+      }
+    }
+    
+    // if no plot exists yet, create one with a particular configuration
+    if (!instance.plotly) {
+      
+      var plot = Plotly.newPlot(graphDiv, x);
+      instance.plotly = true;
+      
+    } else if (x.layout.transition) {
+      
+      var plot = Plotly.react(graphDiv, x);
+    
+    } else {
+      
+      // this is essentially equivalent to Plotly.newPlot(), but avoids creating 
+      // a new webgl context
+      // https://github.com/plotly/plotly.js/blob/2b24f9def901831e61282076cf3f835598d56f0e/src/plot_api/plot_api.js#L531-L532
+
+      // TODO: restore crosstalk selections?
+      Plotly.purge(graphDiv);
+      // TODO: why is this necessary to get crosstalk working?
+      graphDiv.data = undefined;
+      graphDiv.layout = undefined;
+      var plot = Plotly.newPlot(graphDiv, x);
+    }
+    
+    // Trigger plotly.js calls defined via `plotlyProxy()`
+    plot.then(function() {
+      if (HTMLWidgets.shinyMode) {
+        Shiny.addCustomMessageHandler("plotly-calls", function(msg) {
+          var gd = document.getElementById(msg.id);
+          if (!gd) {
+            throw new Error("Couldn't find plotly graph with id: " + msg.id);
+          }
+          // This isn't an official plotly.js method, but it's the only current way to 
+          // change just the configuration of a plot 
+          // https://community.plot.ly/t/update-config-function/9057
+          if (msg.method == "reconfig") {
+            Plotly.react(gd, gd.data, gd.layout, msg.args);
+            return;
+          }
+          if (!Plotly[msg.method]) {
+            throw new Error("Unknown method " + msg.method);
+          }
+          var args = [gd].concat(msg.args);
+          Plotly[msg.method].apply(null, args);
+        });
+      }
+      
+      // plotly's mapbox API doesn't currently support setting bounding boxes
+      // https://www.mapbox.com/mapbox-gl-js/example/fitbounds/
+      // so we do this manually...
+      // TODO: make sure this triggers on a redraw and relayout as well as on initial draw
+      var mapboxIDs = graphDiv._fullLayout._subplots.mapbox || [];
+      for (var i = 0; i < mapboxIDs.length; i++) {
+        var id = mapboxIDs[i];
+        var mapOpts = x.layout[id] || {};
+        var args = mapOpts._fitBounds || {};
+        if (!args) {
+          continue;
+        }
+        var mapObj = graphDiv._fullLayout[id]._subplot.map;
+        mapObj.fitBounds(args.bounds, args.options);
+      }
+      
+    });
+    
+    // Attach attributes (e.g., "key", "z") to plotly event data
+    function eventDataWithKey(eventData) {
+      if (eventData === undefined || !eventData.hasOwnProperty("points")) {
+        return null;
+      }
+      return eventData.points.map(function(pt) {
+        var obj = {
+          curveNumber: pt.curveNumber, 
+          pointNumber: pt.pointNumber, 
+          x: pt.x,
+          y: pt.y
+        };
+        
+        // If 'z' is reported with the event data, then use it!
+        if (pt.hasOwnProperty("z")) {
+          obj.z = pt.z;
+        }
+        
+        if (pt.hasOwnProperty("customdata")) {
+          obj.customdata = pt.customdata;
+        }
+        
+        /* 
+          TL;DR: (I think) we have to select the graph div (again) to attach keys...
+          
+          Why? Remember that crosstalk will dynamically add/delete traces 
+          (see traceManager.prototype.updateSelection() below)
+          For this reason, we can't simply grab keys from x.data (like we did previously)
+          Moreover, we can't use _fullData, since that doesn't include 
+          unofficial attributes. It's true that click/hover events fire with 
+          pt.data, but drag events don't...
+        */
+        var gd = document.getElementById(el.id);
+        var trace = gd.data[pt.curveNumber];
+        
+        if (!trace._isSimpleKey) {
+          var attrsToAttach = ["key"];
+        } else {
+          // simple keys fire the whole key
+          obj.key = trace.key;
+          var attrsToAttach = [];
+        }
+        
+        for (var i = 0; i < attrsToAttach.length; i++) {
+          var attr = trace[attrsToAttach[i]];
+          if (Array.isArray(attr)) {
+            if (typeof pt.pointNumber === "number") {
+              obj[attrsToAttach[i]] = attr[pt.pointNumber];
+            } else if (Array.isArray(pt.pointNumber)) {
+              obj[attrsToAttach[i]] = attr[pt.pointNumber[0]][pt.pointNumber[1]];
+            } else if (Array.isArray(pt.pointNumbers)) {
+              obj[attrsToAttach[i]] = pt.pointNumbers.map(function(idx) { return attr[idx]; });
+            }
+          }
+        }
+        return obj;
+      });
+    }
+    
+    
+    var legendEventData = function(d) {
+      // if legendgroup is not relevant just return the trace
+      var trace = d.data[d.curveNumber];
+      if (!trace.legendgroup) return trace;
+      
+      // if legendgroup was specified, return all traces that match the group
+      var legendgrps = d.data.map(function(trace){ return trace.legendgroup; });
+      var traces = [];
+      for (i = 0; i < legendgrps.length; i++) {
+        if (legendgrps[i] == trace.legendgroup) {
+          traces.push(d.data[i]);
+        }
+      }
+      
+      return traces;
+    };
+
+    
+    // send user input event data to shiny
+    if (HTMLWidgets.shinyMode && Shiny.setInputValue) {
+      
+      // Some events clear other input values
+      // TODO: always register these?
+      var eventClearMap = {
+        plotly_deselect: ["plotly_selected", "plotly_selecting", "plotly_brushed", "plotly_brushing", "plotly_click"],
+        plotly_unhover: ["plotly_hover"],
+        plotly_doubleclick: ["plotly_click"]
+      };
+    
+      Object.keys(eventClearMap).map(function(evt) {
+        graphDiv.on(evt, function() {
+          var inputsToClear = eventClearMap[evt];
+          inputsToClear.map(function(input) {
+            Shiny.setInputValue(input + "-" + x.source, null, {priority: "event"});
+          });
+        });
+      });
+      
+      var eventDataFunctionMap = {
+        plotly_click: eventDataWithKey,
+        plotly_sunburstclick: eventDataWithKey,
+        plotly_hover: eventDataWithKey,
+        plotly_unhover: eventDataWithKey,
+        // If 'plotly_selected' has already been fired, and you click
+        // on the plot afterwards, this event fires `undefined`?!?
+        // That might be considered a plotly.js bug, but it doesn't make 
+        // sense for this input change to occur if `d` is falsy because,
+        // even in the empty selection case, `d` is truthy (an object),
+        // and the 'plotly_deselect' event will reset this input
+        plotly_selected: function(d) { if (d) { return eventDataWithKey(d); } },
+        plotly_selecting: function(d) { if (d) { return eventDataWithKey(d); } },
+        plotly_brushed: function(d) {
+          if (d) { return d.range ? d.range : d.lassoPoints; }
+        },
+        plotly_brushing: function(d) {
+          if (d) { return d.range ? d.range : d.lassoPoints; }
+        },
+        plotly_legendclick: legendEventData,
+        plotly_legenddoubleclick: legendEventData,
+        plotly_clickannotation: function(d) { return d.fullAnnotation }
+      };
+      
+      var registerShinyValue = function(event) {
+        var eventDataPreProcessor = eventDataFunctionMap[event] || function(d) { return d ? d : el.id };
+        // some events are unique to the R package
+        var plotlyJSevent = (event == "plotly_brushed") ? "plotly_selected" : (event == "plotly_brushing") ? "plotly_selecting" : event;
+        // register the event
+        graphDiv.on(plotlyJSevent, function(d) {
+          Shiny.setInputValue(
+            event + "-" + x.source,
+            JSON.stringify(eventDataPreProcessor(d)),
+            {priority: "event"}
+          );
+        });
+      }
+    
+      var shinyEvents = x.shinyEvents || [];
+      shinyEvents.map(registerShinyValue);
+    }
+    
+    // Given an array of {curveNumber: x, pointNumber: y} objects,
+    // return a hash of {
+    //   set1: {value: [key1, key2, ...], _isSimpleKey: false}, 
+    //   set2: {value: [key3, key4, ...], _isSimpleKey: false}
+    // }
+    function pointsToKeys(points) {
+      var keysBySet = {};
+      for (var i = 0; i < points.length; i++) {
+        
+        var trace = graphDiv.data[points[i].curveNumber];
+        if (!trace.key || !trace.set) {
+          continue;
+        }
+        
+        // set defaults for this keySet
+        // note that we don't track the nested property (yet) since we always 
+        // emit the union -- http://cpsievert.github.io/talks/20161212b/#21
+        keysBySet[trace.set] = keysBySet[trace.set] || {
+          value: [],
+          _isSimpleKey: trace._isSimpleKey
+        };
+        
+        // Use pointNumber by default, but aggregated traces should emit pointNumbers
+        var ptNum = points[i].pointNumber;
+        var hasPtNum = typeof ptNum === "number";
+        var ptNum = hasPtNum ? ptNum : points[i].pointNumbers;
+        
+        // selecting a point of a "simple" trace means: select the 
+        // entire key attached to this trace, which is useful for,
+        // say clicking on a fitted line to select corresponding observations 
+        var key = trace._isSimpleKey ? trace.key : Array.isArray(ptNum) ? ptNum.map(function(idx) { return trace.key[idx]; }) : trace.key[ptNum];
+        // http://stackoverflow.com/questions/10865025/merge-flatten-an-array-of-arrays-in-javascript
+        var keyFlat = trace._isNestedKey ? [].concat.apply([], key) : key;
+        
+        // TODO: better to only add new values?
+        keysBySet[trace.set].value = keysBySet[trace.set].value.concat(keyFlat);
+      }
+      
+      return keysBySet;
+    }
+    
+    
+    x.highlight.color = x.highlight.color || [];
+    // make sure highlight color is an array
+    if (!Array.isArray(x.highlight.color)) {
+      x.highlight.color = [x.highlight.color];
+    }
+
+    var traceManager = new TraceManager(graphDiv, x.highlight);
+
+    // Gather all *unique* sets.
+    var allSets = [];
+    for (var curveIdx = 0; curveIdx < x.data.length; curveIdx++) {
+      var newSet = x.data[curveIdx].set;
+      if (newSet) {
+        if (allSets.indexOf(newSet) === -1) {
+          allSets.push(newSet);
+        }
+      }
+    }
+
+    // register event listeners for all sets
+    for (var i = 0; i < allSets.length; i++) {
+      
+      var set = allSets[i];
+      var selection = new crosstalk.SelectionHandle(set);
+      var filter = new crosstalk.FilterHandle(set);
+      
+      var filterChange = function(e) {
+        removeBrush(el);
+        traceManager.updateFilter(set, e.value);
+      };
+      filter.on("change", filterChange);
+      
+      
+      var selectionChange = function(e) {
+        
+        // Workaround for 'plotly_selected' now firing previously selected
+        // points (in addition to new ones) when holding shift key. In our case,
+        // we just want the new keys 
+        if (x.highlight.on === "plotly_selected" && x.highlight.persistentShift) {
+          // https://stackoverflow.com/questions/1187518/how-to-get-the-difference-between-two-arrays-in-javascript
+          Array.prototype.diff = function(a) {
+              return this.filter(function(i) {return a.indexOf(i) < 0;});
+          };
+          e.value = e.value.diff(e.oldValue);
+        }
+        
+        // array of "event objects" tracking the selection history
+        // this is used to avoid adding redundant selections
+        var selectionHistory = crosstalk.var("plotlySelectionHistory").get() || [];
+        
+        // Construct an event object "defining" the current event. 
+        var event = {
+          receiverID: traceManager.gd.id,
+          plotlySelectionColour: crosstalk.group(set).var("plotlySelectionColour").get()
+        };
+        event[set] = e.value;
+        // TODO: is there a smarter way to check object equality?
+        if (selectionHistory.length > 0) {
+          var ev = JSON.stringify(event);
+          for (var i = 0; i < selectionHistory.length; i++) {
+            var sel = JSON.stringify(selectionHistory[i]);
+            if (sel == ev) {
+              return;
+            }
+          }
+        }
+        
+        // accumulate history for persistent selection
+        if (!x.highlight.persistent) {
+          selectionHistory = [event];
+        } else {
+          selectionHistory.push(event);
+        }
+        crosstalk.var("plotlySelectionHistory").set(selectionHistory);
+        
+        // do the actual updating of traces, frames, and the selectize widget
+        traceManager.updateSelection(set, e.value);
+        // https://github.com/selectize/selectize.js/blob/master/docs/api.md#methods_items
+        if (x.selectize) {
+          if (!x.highlight.persistent || e.value === null) {
+            selectize.clear(true);
+          }
+          selectize.addItems(e.value, true);
+          selectize.close();
+        }
+      }
+      selection.on("change", selectionChange);
+      
+      // Set a crosstalk variable selection value, triggering an update
+      var turnOn = function(e) {
+        if (e) {
+          var selectedKeys = pointsToKeys(e.points);
+          // Keys are group names, values are array of selected keys from group.
+          for (var set in selectedKeys) {
+            if (selectedKeys.hasOwnProperty(set)) {
+              selection.set(selectedKeys[set].value, {sender: el});
+            }
+          }
+        }
+      };
+      if (x.highlight.debounce > 0) {
+        turnOn = debounce(turnOn, x.highlight.debounce);
+      }
+      graphDiv.on(x.highlight.on, turnOn);
+      
+      graphDiv.on(x.highlight.off, function turnOff(e) {
+        // remove any visual clues
+        removeBrush(el);
+        // remove any selection history
+        crosstalk.var("plotlySelectionHistory").set(null);
+        // trigger the actual removal of selection traces
+        selection.set(null, {sender: el});
+      });
+          
+      // register a callback for selectize so that there is bi-directional
+      // communication between the widget and direct manipulation events
+      if (x.selectize) {
+        var selectizeID = Object.keys(x.selectize)[i];
+        var options = x.selectize[selectizeID];
+        var first = [{value: "", label: "(All)"}];
+        var opts = $.extend({
+            options: first.concat(options.items),
+            searchField: "label",
+            valueField: "value",
+            labelField: "label",
+            maxItems: 50
+          }, 
+          options
+        );
+        var select = $("#" + selectizeID).find("select")[0];
+        var selectize = $(select).selectize(opts)[0].selectize;
+        // NOTE: this callback is triggered when *directly* altering 
+        // dropdown items
+        selectize.on("change", function() {
+          var currentItems = traceManager.groupSelections[set] || [];
+          if (!x.highlight.persistent) {
+            removeBrush(el);
+            for (var i = 0; i < currentItems.length; i++) {
+              selectize.removeItem(currentItems[i], true);
+            }
+          }
+          var newItems = selectize.items.filter(function(idx) { 
+            return currentItems.indexOf(idx) < 0;
+          });
+          if (newItems.length > 0) {
+            traceManager.updateSelection(set, newItems);
+          } else {
+            // Item has been removed...
+            // TODO: this logic won't work for dynamically changing palette 
+            traceManager.updateSelection(set, null);
+            traceManager.updateSelection(set, selectize.items);
+          }
+        });
+      }
+    } // end of selectionChange
+    
+  } // end of renderValue
+}); // end of widget definition
+
+/**
+ * @param graphDiv The Plotly graph div
+ * @param highlight An object with options for updating selection(s)
+ */
+function TraceManager(graphDiv, highlight) {
+  // The Plotly graph div
+  this.gd = graphDiv;
+
+  // Preserve the original data.
+  // TODO: try using Lib.extendFlat() as done in  
+  // https://github.com/plotly/plotly.js/pull/1136 
+  this.origData = JSON.parse(JSON.stringify(graphDiv.data));
+  
+  // avoid doing this over and over
+  this.origOpacity = [];
+  for (var i = 0; i < this.origData.length; i++) {
+    this.origOpacity[i] = this.origData[i].opacity === 0 ? 0 : (this.origData[i].opacity || 1);
+  }
+
+  // key: group name, value: null or array of keys representing the
+  // most recently received selection for that group.
+  this.groupSelections = {};
+  
+  // selection parameters (e.g., transient versus persistent selection)
+  this.highlight = highlight;
+}
+
+TraceManager.prototype.close = function() {
+  // TODO: Unhook all event handlers
+};
+
+TraceManager.prototype.updateFilter = function(group, keys) {
+
+  if (typeof(keys) === "undefined" || keys === null) {
+    
+    this.gd.data = JSON.parse(JSON.stringify(this.origData));
+    
+  } else {
+  
+    var traces = [];
+    for (var i = 0; i < this.origData.length; i++) {
+      var trace = this.origData[i];
+      if (!trace.key || trace.set !== group) {
+        continue;
+      }
+      var matchFunc = getMatchFunc(trace);
+      var matches = matchFunc(trace.key, keys);
+      
+      if (matches.length > 0) {
+        if (!trace._isSimpleKey) {
+          // subsetArrayAttrs doesn't mutate trace (it makes a modified clone)
+          trace = subsetArrayAttrs(trace, matches);
+        }
+        traces.push(trace);
+      }
+    }
+    this.gd.data = traces;
+  }
+  
+  Plotly.redraw(this.gd);
+  
+  // NOTE: we purposely do _not_ restore selection(s), since on filter,
+  // axis likely will update, changing the pixel -> data mapping, leading 
+  // to a likely mismatch in the brush outline and highlighted marks
+  
+};
+
+TraceManager.prototype.updateSelection = function(group, keys) {
+  
+  if (keys !== null && !Array.isArray(keys)) {
+    throw new Error("Invalid keys argument; null or array expected");
+  }
+  
+  // if selection has been cleared, or if this is transient
+  // selection, delete the "selection traces"
+  var nNewTraces = this.gd.data.length - this.origData.length;
+  if (keys === null || !this.highlight.persistent && nNewTraces > 0) {
+    var tracesToRemove = [];
+    for (var i = 0; i < this.gd.data.length; i++) {
+      if (this.gd.data[i]._isCrosstalkTrace) tracesToRemove.push(i);
+    }
+    Plotly.deleteTraces(this.gd, tracesToRemove);
+    this.groupSelections[group] = keys;
+  } else {
+    // add to the groupSelection, rather than overwriting it
+    // TODO: can this be removed?
+    this.groupSelections[group] = this.groupSelections[group] || [];
+    for (var i = 0; i < keys.length; i++) {
+      var k = keys[i];
+      if (this.groupSelections[group].indexOf(k) < 0) {
+        this.groupSelections[group].push(k);
+      }
+    }
+  }
+  
+  if (keys === null) {
+    
+    Plotly.restyle(this.gd, {"opacity": this.origOpacity});
+    
+  } else if (keys.length >= 1) {
+    
+    // placeholder for new "selection traces"
+    var traces = [];
+    // this variable is set in R/highlight.R
+    var selectionColour = crosstalk.group(group).var("plotlySelectionColour").get() || 
+      this.highlight.color[0];
+
+    for (var i = 0; i < this.origData.length; i++) {
+      // TODO: try using Lib.extendFlat() as done in  
+      // https://github.com/plotly/plotly.js/pull/1136 
+      var trace = JSON.parse(JSON.stringify(this.gd.data[i]));
+      if (!trace.key || trace.set !== group) {
+        continue;
+      }
+      // Get sorted array of matching indices in trace.key
+      var matchFunc = getMatchFunc(trace);
+      var matches = matchFunc(trace.key, keys);
+      
+      if (matches.length > 0) {
+        // If this is a "simple" key, that means select the entire trace
+        if (!trace._isSimpleKey) {
+          trace = subsetArrayAttrs(trace, matches);
+        }
+        // reach into the full trace object so we can properly reflect the 
+        // selection attributes in every view
+        var d = this.gd._fullData[i];
+        
+        /* 
+        / Recursively inherit selection attributes from various sources, 
+        / in order of preference:
+        /  (1) official plotly.js selected attribute
+        /  (2) highlight(selected = attrs_selected(...))
+        */
+        // TODO: it would be neat to have a dropdown to dynamically specify these!
+        $.extend(true, trace, this.highlight.selected);
+        
+        // if it is defined, override color with the "dynamic brush color""
+        if (d.marker) {
+          trace.marker = trace.marker || {};
+          trace.marker.color =  selectionColour || trace.marker.color || d.marker.color;
+        }
+        if (d.line) {
+          trace.line = trace.line || {};
+          trace.line.color =  selectionColour || trace.line.color || d.line.color;
+        }
+        if (d.textfont) {
+          trace.textfont = trace.textfont || {};
+          trace.textfont.color =  selectionColour || trace.textfont.color || d.textfont.color;
+        }
+        if (d.fillcolor) {
+          // TODO: should selectionColour inherit alpha from the existing fillcolor?
+          trace.fillcolor = selectionColour || trace.fillcolor || d.fillcolor;
+        }
+        // attach a sensible name/legendgroup
+        trace.name = trace.name || keys.join("<br />");
+        trace.legendgroup = trace.legendgroup || keys.join("<br />");
+        
+        // keep track of mapping between this new trace and the trace it targets
+        // (necessary for updating frames to reflect the selection traces)
+        trace._originalIndex = i;
+        trace._newIndex = this.gd._fullData.length + traces.length;
+        trace._isCrosstalkTrace = true;
+        traces.push(trace);
+      }
+    }
+    
+    if (traces.length > 0) {
+      
+      Plotly.addTraces(this.gd, traces).then(function(gd) {
+        // incrementally add selection traces to frames
+        // (this is heavily inspired by Plotly.Plots.modifyFrames() 
+        // in src/plots/plots.js)
+        var _hash = gd._transitionData._frameHash;
+        var _frames = gd._transitionData._frames || [];
+        
+        for (var i = 0; i < _frames.length; i++) {
+          
+          // add to _frames[i].traces *if* this frame references selected trace(s)
+          var newIndices = [];
+          for (var j = 0; j < traces.length; j++) {
+            var tr = traces[j];
+            if (_frames[i].traces.indexOf(tr._originalIndex) > -1) {
+              newIndices.push(tr._newIndex);
+              _frames[i].traces.push(tr._newIndex);
+            }
+          }
+          
+          // nothing to do...
+          if (newIndices.length === 0) {
+            continue;
+          }
+          
+          var ctr = 0;
+          var nFrameTraces = _frames[i].data.length;
+          
+          for (var j = 0; j < nFrameTraces; j++) {
+            var frameTrace = _frames[i].data[j];
+            if (!frameTrace.key || frameTrace.set !== group) {
+              continue;
+            }
+            
+            var matchFunc = getMatchFunc(frameTrace);
+            var matches = matchFunc(frameTrace.key, keys);
+            
+            if (matches.length > 0) {
+              if (!trace._isSimpleKey) {
+                frameTrace = subsetArrayAttrs(frameTrace, matches);
+              }
+              var d = gd._fullData[newIndices[ctr]];
+              if (d.marker) {
+                frameTrace.marker = d.marker;
+              }
+              if (d.line) {
+                frameTrace.line = d.line;
+              }
+              if (d.textfont) {
+                frameTrace.textfont = d.textfont;
+              }
+              ctr = ctr + 1;
+              _frames[i].data.push(frameTrace);
+            }
+          }
+          
+          // update gd._transitionData._frameHash
+          _hash[_frames[i].name] = _frames[i];
+        }
+      
+      });
+      
+      // dim traces that have a set matching the set of selection sets
+      var tracesToDim = [],
+          opacities = [],
+          sets = Object.keys(this.groupSelections),
+          n = this.origData.length;
+          
+      for (var i = 0; i < n; i++) {
+        var opacity = this.origOpacity[i] || 1;
+        // have we already dimmed this trace? Or is this even worth doing?
+        if (opacity !== this.gd._fullData[i].opacity || this.highlight.opacityDim === 1) {
+          continue;
+        }
+        // is this set an element of the set of selection sets?
+        var matches = findMatches(sets, [this.gd.data[i].set]);
+        if (matches.length) {
+          tracesToDim.push(i);
+          opacities.push(opacity * this.highlight.opacityDim);
+        }
+      }
+      
+      if (tracesToDim.length > 0) {
+        Plotly.restyle(this.gd, {"opacity": opacities}, tracesToDim);
+        // turn off the selected/unselected API
+        Plotly.restyle(this.gd, {"selectedpoints": null});
+      }
+      
+    }
+    
+  }
+};
+
+/* 
+Note: in all of these match functions, we assume needleSet (i.e. the selected keys)
+is a 1D (or flat) array. The real difference is the meaning of haystack.
+findMatches() does the usual thing you'd expect for 
+linked brushing on a scatterplot matrix. findSimpleMatches() returns a match iff 
+haystack is a subset of the needleSet. findNestedMatches() returns 
+*/
+
+function getMatchFunc(trace) {
+  return (trace._isNestedKey) ? findNestedMatches : 
+    (trace._isSimpleKey) ? findSimpleMatches : findMatches;
+}
+
+// find matches for "flat" keys
+function findMatches(haystack, needleSet) {
+  var matches = [];
+  haystack.forEach(function(obj, i) {
+    if (obj === null || needleSet.indexOf(obj) >= 0) {
+      matches.push(i);
+    }
+  });
+  return matches;
+}
+
+// find matches for "simple" keys
+function findSimpleMatches(haystack, needleSet) {
+  var match = haystack.every(function(val) {
+    return val === null || needleSet.indexOf(val) >= 0;
+  });
+  // yes, this doesn't make much sense other than conforming 
+  // to the output type of the other match functions
+  return (match) ? [0] : []
+}
+
+// find matches for a "nested" haystack (2D arrays)
+function findNestedMatches(haystack, needleSet) {
+  var matches = [];
+  for (var i = 0; i < haystack.length; i++) {
+    var hay = haystack[i];
+    var match = hay.every(function(val) { 
+      return val === null || needleSet.indexOf(val) >= 0; 
+    });
+    if (match) {
+      matches.push(i);
+    }
+  }
+  return matches;
+}
+
+function isPlainObject(obj) {
+  return (
+    Object.prototype.toString.call(obj) === '[object Object]' &&
+    Object.getPrototypeOf(obj) === Object.prototype
+  );
+}
+
+function subsetArrayAttrs(obj, indices) {
+  var newObj = {};
+  Object.keys(obj).forEach(function(k) {
+    var val = obj[k];
+
+    if (k.charAt(0) === "_") {
+      newObj[k] = val;
+    } else if (k === "transforms" && Array.isArray(val)) {
+      newObj[k] = val.map(function(transform) {
+        return subsetArrayAttrs(transform, indices);
+      });
+    } else if (k === "colorscale" && Array.isArray(val)) {
+      newObj[k] = val;
+    } else if (isPlainObject(val)) {
+      newObj[k] = subsetArrayAttrs(val, indices);
+    } else if (Array.isArray(val)) {
+      newObj[k] = subsetArray(val, indices);
+    } else {
+      newObj[k] = val;
+    }
+  });
+  return newObj;
+}
+
+function subsetArray(arr, indices) {
+  var result = [];
+  for (var i = 0; i < indices.length; i++) {
+    result.push(arr[indices[i]]);
+  }
+  return result;
+}
+
+// Convenience function for removing plotly's brush 
+function removeBrush(el) {
+  var outlines = el.querySelectorAll(".select-outline");
+  for (var i = 0; i < outlines.length; i++) {
+    outlines[i].remove();
+  }
+}
+
+
+// https://davidwalsh.name/javascript-debounce-function
+
+// Returns a function, that, as long as it continues to be invoked, will not
+// be triggered. The function will be called after it stops being called for
+// N milliseconds. If `immediate` is passed, trigger the function on the
+// leading edge, instead of the trailing.
+function debounce(func, wait, immediate) {
+	var timeout;
+	return function() {
+		var context = this, args = arguments;
+		var later = function() {
+			timeout = null;
+			if (!immediate) func.apply(context, args);
+		};
+		var callNow = immediate && !timeout;
+		clearTimeout(timeout);
+		timeout = setTimeout(later, wait);
+		if (callNow) func.apply(context, args);
+	};
+};
diff --git a/docs/reference/libs/plotly-htmlwidgets-css-2.25.2/plotly-htmlwidgets.css b/docs/reference/libs/plotly-htmlwidgets-css-2.25.2/plotly-htmlwidgets.css
new file mode 100644
index 000000000..f35906d52
--- /dev/null
+++ b/docs/reference/libs/plotly-htmlwidgets-css-2.25.2/plotly-htmlwidgets.css
@@ -0,0 +1,9 @@
+/*
+just here so that plotly works
+correctly with ioslides.
+see https://github.com/ropensci/plotly/issues/463
+*/
+
+slide:not(.current) .plotly.html-widget{
+  display: none;
+}
diff --git a/docs/reference/libs/plotly-main-2.11.1/plotly-latest.min.js b/docs/reference/libs/plotly-main-2.11.1/plotly-latest.min.js
deleted file mode 100644
index 27bfdaa93..000000000
--- a/docs/reference/libs/plotly-main-2.11.1/plotly-latest.min.js
+++ /dev/null
@@ -1,69 +0,0 @@
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-*/
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i=e.geoCentroid({type:"MultiPoint",coordinates:[t,r,n]}),a=[-i[0],-i[1]],o=e.geoRotation(a),s=at(ot(o(t)),ot(o(r)),ot(o(n)));s.invert=H(s);var l=e.geoProjection(s).rotate(a),c=l.center;return delete l.rotate,l.center=function(t){return arguments.length?c(o(t)):o.invert(c())},l.clipAngle(90)}function lt(t,e){var r=L(1-m(e));return[2/T*t*r,T*(1-r)]}function ct(t){var e=g(t);function r(t,r){return[t,(t?t/m(t):1)*(m(r)*o(t)-e*o(r))]}return r.invert=e?function(t,r){t&&(r*=m(t)/t);var n=o(t);return[t,2*a(L(n*n+e*e-r*r)-n,e-r)]}:function(t,e){return[t,S(t?e*g(t)/t:e)]},r}lt.invert=function(t,e){var r=(r=e/T-1)*r;return[r>0?t*L(y/r)/2:0,S(1-r)]};var ut=L(3);function ft(t,e){return[ut*t*(2*o(2*e/3)-1)/T,ut*T*m(e/3)]}function ht(t){var e=o(t);function r(t,r){return[t*e,m(r)/e]}return r.invert=function(t,r){return[t/e,S(r*e)]},r}function pt(t){var e=o(t);function r(t,r){return[t*e,(1+e)*g(r/2)]}return r.invert=function(t,r){return[t/e,2*i(r/(1+e))]},r}function dt(t,e){var r=L(8/(3*y));return[r*t*(1-n(e)/y),r*e]}function mt(t,e){var r=L(4-3*m(n(e)));return[2/L(6*y)*t*r,d(e)*L(2*y/3)*(2-r)]}function gt(t,e){var r=L(y*(4+y));return[2/r*t*(1+L(1-4*e*e/(y*y))),4/r*e]}function vt(t,e){var r=(2+x)*m(e);e/=2;for(var i=0,a=1/0;i<10&&n(a)>v;i++){var s=o(e);e-=a=(e+m(e)*(s+2)-r)/(2*s*(1+s))}return[2/L(y*(4+y))*t*(1+o(e)),2*L(y/(4+y))*m(e)]}function yt(t,e){return[t*(1+o(e))/L(2+y),2*e/L(2+y)]}function xt(t,e){for(var r=(1+x)*m(e),i=0,a=1/0;i<10&&n(a)>v;i++)e-=a=(e+m(e)-r)/(1+o(e));return r=L(2+y),[t*(1+o(e))/r,2*e/r]}ft.invert=function(t,e){var r=3*S(e/(ut*T));return[T*t/(ut*(2*o(2*r/3)-1)),r]},dt.invert=function(t,e){var r=L(8/(3*y)),i=e/r;return[t/(r*(1-n(i)/y)),i]},mt.invert=function(t,e){var r=2-n(e)/L(2*y/3);return[t*L(6*y)/(2*r),d(e)*S((4-r*r)/3)]},gt.invert=function(t,e){var r=L(y*(4+y))/2;return[t*r/(1+L(1-e*e*(4+y)/(4*y))),e*r/2]},vt.invert=function(t,e){var r=e*L((4+y)/y)/2,n=S(r),i=o(n);return[t/(2/L(y*(4+y))*(1+i)),S((n+r*(i+2))/(2+x))]},yt.invert=function(t,e){var r=L(2+y),n=e*r/2;return[r*t/(1+o(n)),n]},xt.invert=function(t,e){var r=1+x,n=L(r/2);return[2*t*n/(1+o(e*=n)),S((e+m(e))/r)]};var bt=3+2*w;function _t(t,e){var r=m(t/=2),n=o(t),a=L(o(e)),s=o(e/=2),l=m(e)/(s+w*n*a),u=L(2/(1+l*l)),f=L((w*s+(n+r)*a)/(w*s+(n-r)*a));return[bt*(u*(f-1/f)-2*c(f)),bt*(u*l*(f+1/f)-2*i(l))]}_t.invert=function(t,e){if(!(r=D.invert(t/1.2,1.065*e)))return null;var r,a=r[0],s=r[1],l=20;t/=bt,e/=bt;do{var h=a/2,p=s/2,d=m(h),g=o(h),y=m(p),b=o(p),T=o(s),k=L(T),A=y/(b+w*g*k),M=A*A,S=L(2/(1+M)),E=(w*b+(g+d)*k)/(w*b+(g-d)*k),C=L(E),P=C-1/C,I=C+1/C,O=S*P-2*c(C)-t,z=S*A*I-2*i(A)-e,R=y&&_*k*d*M/y,F=(w*g*b+k)/(2*(b+w*g*k)*(b+w*g*k)*k),B=-.5*A*S*S*S,N=B*R,j=B*F,U=(U=2*b+w*k*(g-d))*U*C,V=(w*g*b*k+T)/U,H=-w*d*y/(k*U),q=P*N-2*V/C+S*(V+V/E),G=P*j-2*H/C+S*(H+H/E),Y=A*I*N-2*R/(1+M)+S*I*R+S*A*(V-V/E),W=A*I*j-2*F/(1+M)+S*I*F+S*A*(H-H/E),X=G*Y-W*q;if(!X)break;var 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b=g*g,_=t+b*(e+b*(r+b*i)),w=g*(a-1+b*(s-c+b*l)),T=_*_+w*w,k=2*w,A=T/k,M=A*A,E=S(_/A)/y,C=d*E,P=_*_,I=(2*e+b*(4*r+6*b*i))*g,O=a+b*(3*s+5*b*l),z=(2*(_*I+w*(O-1))*k-T*(2*(O-1)))/(k*k),D=o(C),R=m(C),F=A*D,B=A*R,N=d/y*(1/L(1-P/M))*(I*A-_*z)/M,j=B-u,U=g*(1+b*c)+A-F-f,V=z*R+F*N,H=F*E,q=1+z-(z*D-B*N),G=B*E,Y=V*G-q*H;if(!Y)break;d-=h=(U*V-j*q)/Y,g-=p=(j*G-U*H)/Y}while((n(h)>v||n(p)>v)&&--x>0);return[d,g]},u}Tt.invert=function(t,e){var r=e/(1+wt);return[t&&t/(wt*L(1-r*r)),2*i(r)]},kt.invert=function(t,e){var r=i(e/T),n=o(r),a=2*r;return[t*T/2/(o(a)*n*n),a]};var It=Pt(2.8284,-1.6988,.75432,-.18071,1.76003,-.38914,.042555);var Ot=Pt(2.583819,-.835827,.170354,-.038094,1.543313,-.411435,.082742);var zt=Pt(5/6*y,-.62636,-.0344,0,1.3493,-.05524,0,.045);function Dt(t,e){var r=t*t,n=e*e;return[t*(1-.162388*n)*(.87-952426e-9*r*r),e*(1+n/12)]}Dt.invert=function(t,e){var r,i=t,a=e,o=50;do{var s=a*a;a-=r=(a*(1+s/12)-e)/(1+s/4)}while(n(r)>v&&--o>0);o=50,t/=1-.162388*s;do{var 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t[0]=1-(p+m),t[1]=f+y,t[2]=h-v,t[3]=0,t[4]=f-y,t[5]=1-(u+m),t[6]=d+g,t[7]=0,t[8]=h+v,t[9]=d-g,t[10]=1-(u+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},{}],198:[function(t,e,r){e.exports=function(t,e){return t[0]=e[0],t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=e[1],t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=e[2],t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],199:[function(t,e,r){e.exports=function(t,e){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=e[0],t[13]=e[1],t[14]=e[2],t[15]=1,t}},{}],200:[function(t,e,r){e.exports=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=n,t[6]=r,t[7]=0,t[8]=0,t[9]=-r,t[10]=n,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],201:[function(t,e,r){e.exports=function(t,e){var r=Math.sin(e),n=Math.cos(e);return 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n(t);f=m-_,h=g-w,p=v-T,d=1/Math.sqrt(f*f+h*h+p*p),a=x*(p*=d)-b*(h*=d),o=b*(f*=d)-y*p,s=y*h-x*f,(d=Math.sqrt(a*a+o*o+s*s))?(a*=d=1/d,o*=d,s*=d):(a=0,o=0,s=0);l=h*s-p*o,c=p*a-f*s,u=f*o-h*a,(d=Math.sqrt(l*l+c*c+u*u))?(l*=d=1/d,c*=d,u*=d):(l=0,c=0,u=0);return t[0]=a,t[1]=l,t[2]=f,t[3]=0,t[4]=o,t[5]=c,t[6]=h,t[7]=0,t[8]=s,t[9]=u,t[10]=p,t[11]=0,t[12]=-(a*m+o*g+s*v),t[13]=-(l*m+c*g+u*v),t[14]=-(f*m+h*g+p*v),t[15]=1,t}},{"./identity":204}],208:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],m=e[12],g=e[13],v=e[14],y=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*f+w*m,t[1]=x*i+b*l+_*h+w*g,t[2]=x*a+b*c+_*p+w*v,t[3]=x*o+b*u+_*d+w*y,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*f+w*m,t[5]=x*i+b*l+_*h+w*g,t[6]=x*a+b*c+_*p+w*v,t[7]=x*o+b*u+_*d+w*y,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*f+w*m,t[9]=x*i+b*l+_*h+w*g,t[10]=x*a+b*c+_*p+w*v,t[11]=x*o+b*u+_*d+w*y,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*f+w*m,t[13]=x*i+b*l+_*h+w*g,t[14]=x*a+b*c+_*p+w*v,t[15]=x*o+b*u+_*d+w*y,t}},{}],209:[function(t,e,r){e.exports=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t}},{}],210:[function(t,e,r){e.exports=function(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}},{}],211:[function(t,e,r){e.exports=function(t,e,r,n){var i=Math.tan(e.upDegrees*Math.PI/180),a=Math.tan(e.downDegrees*Math.PI/180),o=Math.tan(e.leftDegrees*Math.PI/180),s=Math.tan(e.rightDegrees*Math.PI/180),l=2/(o+s),c=2/(i+a);return t[0]=l,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=c,t[6]=0,t[7]=0,t[8]=-(o-s)*l*.5,t[9]=(i-a)*c*.5,t[10]=n/(r-n),t[11]=-1,t[12]=0,t[13]=0,t[14]=n*r/(r-n),t[15]=0,t}},{}],212:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,A,M,S,E=n[0],L=n[1],C=n[2],P=Math.sqrt(E*E+L*L+C*C);if(Math.abs(P)<1e-6)return null;E*=P=1/P,L*=P,C*=P,i=Math.sin(r),a=Math.cos(r),o=1-a,s=e[0],l=e[1],c=e[2],u=e[3],f=e[4],h=e[5],p=e[6],d=e[7],m=e[8],g=e[9],v=e[10],y=e[11],x=E*E*o+a,b=L*E*o+C*i,_=C*E*o-L*i,w=E*L*o-C*i,T=L*L*o+a,k=C*L*o+E*i,A=E*C*o+L*i,M=L*C*o-E*i,S=C*C*o+a,t[0]=s*x+f*b+m*_,t[1]=l*x+h*b+g*_,t[2]=c*x+p*b+v*_,t[3]=u*x+d*b+y*_,t[4]=s*w+f*T+m*k,t[5]=l*w+h*T+g*k,t[6]=c*w+p*T+v*k,t[7]=u*w+d*T+y*k,t[8]=s*A+f*M+m*S,t[9]=l*A+h*M+g*S,t[10]=c*A+p*M+v*S,t[11]=u*A+d*M+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t}},{}],213:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[4]=a*i+c*n,t[5]=o*i+u*n,t[6]=s*i+f*n,t[7]=l*i+h*n,t[8]=c*i-a*n,t[9]=u*i-o*n,t[10]=f*i-s*n,t[11]=h*i-l*n,t}},{}],214:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i-c*n,t[1]=o*i-u*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+c*i,t[9]=o*n+u*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}},{}],215:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[4],u=e[5],f=e[6],h=e[7];e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i+c*n,t[1]=o*i+u*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=c*i-a*n,t[5]=u*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}},{}],216:[function(t,e,r){e.exports=function(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},{}],217:[function(t,e,r){e.exports=function(t){return"mat4("+t[0]+", "+t[1]+", "+t[2]+", "+t[3]+", "+t[4]+", "+t[5]+", "+t[6]+", "+t[7]+", "+t[8]+", "+t[9]+", "+t[10]+", "+t[11]+", "+t[12]+", "+t[13]+", "+t[14]+", "+t[15]+")"}},{}],218:[function(t,e,r){e.exports=function(t,e,r){var n,i,a,o,s,l,c,u,f,h,p,d,m=r[0],g=r[1],v=r[2];e===t?(t[12]=e[0]*m+e[4]*g+e[8]*v+e[12],t[13]=e[1]*m+e[5]*g+e[9]*v+e[13],t[14]=e[2]*m+e[6]*g+e[10]*v+e[14],t[15]=e[3]*m+e[7]*g+e[11]*v+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=c,t[7]=u,t[8]=f,t[9]=h,t[10]=p,t[11]=d,t[12]=n*m+s*g+f*v+e[12],t[13]=i*m+l*g+h*v+e[13],t[14]=a*m+c*g+p*v+e[14],t[15]=o*m+u*g+d*v+e[15]);return t}},{}],219:[function(t,e,r){e.exports=function(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},{}],220:[function(t,e,r){"use strict";var n=t("css-font"),i=t("pick-by-alias"),a=t("regl"),o=t("gl-util/context"),s=t("es6-weak-map"),l=t("color-normalize"),c=t("font-atlas"),u=t("typedarray-pool"),f=t("parse-rect"),h=t("is-plain-obj"),p=t("parse-unit"),d=t("to-px"),m=t("detect-kerning"),g=t("object-assign"),v=t("font-measure"),y=t("flatten-vertex-data"),x=t("bit-twiddle").nextPow2,b=new s,_=!1;if(document.body){var w=document.body.appendChild(document.createElement("div"));w.style.font="italic small-caps bold condensed 16px/2 cursive",getComputedStyle(w).fontStretch&&(_=!0),document.body.removeChild(w)}var T=function(t){!function(t){return"function"==typeof t&&t._gl&&t.prop&&t.texture&&t.buffer}(t)?this.gl=o(t):(t={regl:t},this.gl=t.regl._gl),this.shader=b.get(this.gl),this.shader?this.regl=this.shader.regl:this.regl=t.regl||a({gl:this.gl}),this.charBuffer=this.regl.buffer({type:"uint8",usage:"stream"}),this.sizeBuffer=this.regl.buffer({type:"float",usage:"stream"}),this.shader||(this.shader=this.createShader(),b.set(this.gl,this.shader)),this.batch=[],this.fontSize=[],this.font=[],this.fontAtlas=[],this.draw=this.shader.draw.bind(this),this.render=function(){this.regl._refresh(),this.draw(this.batch)},this.canvas=this.gl.canvas,this.update(h(t)?t:{})};T.prototype.createShader=function(){var t=this.regl,e=t({blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:"src alpha",dstRGB:"one minus src alpha",srcAlpha:"one minus dst alpha",dstAlpha:"one"}},stencil:{enable:!1},depth:{enable:!1},count:t.prop("count"),offset:t.prop("offset"),attributes:{charOffset:{offset:4,stride:8,buffer:t.this("sizeBuffer")},width:{offset:0,stride:8,buffer:t.this("sizeBuffer")},char:t.this("charBuffer"),position:t.this("position")},uniforms:{atlasSize:function(t,e){return[e.atlas.width,e.atlas.height]},atlasDim:function(t,e){return[e.atlas.cols,e.atlas.rows]},atlas:function(t,e){return e.atlas.texture},charStep:function(t,e){return e.atlas.step},em:function(t,e){return e.atlas.em},color:t.prop("color"),opacity:t.prop("opacity"),viewport:t.this("viewportArray"),scale:t.this("scale"),align:t.prop("align"),baseline:t.prop("baseline"),translate:t.this("translate"),positionOffset:t.prop("positionOffset")},primitive:"points",viewport:t.this("viewport"),vert:"\n\t\t\tprecision highp float;\n\t\t\tattribute float width, charOffset, char;\n\t\t\tattribute vec2 position;\n\t\t\tuniform float fontSize, charStep, em, align, baseline;\n\t\t\tuniform vec4 viewport;\n\t\t\tuniform vec4 color;\n\t\t\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\n\t\t\tvarying vec2 charCoord, charId;\n\t\t\tvarying float charWidth;\n\t\t\tvarying vec4 fontColor;\n\t\t\tvoid main () {\n\t\t\t\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\n\t\t\t\t\t+ vec2(positionOffset.x, -positionOffset.y)))\n\t\t\t\t\t/ (viewport.zw * scale.xy);\n\n\t\t\t\tvec2 position = (position + translate) * scale;\n\t\t\t\tposition += offset * scale;\n\n\t\t\t\tcharCoord = position * viewport.zw + viewport.xy;\n\n\t\t\t\tgl_Position = vec4(position * 2. - 1., 0, 1);\n\n\t\t\t\tgl_PointSize = charStep;\n\n\t\t\t\tcharId.x = mod(char, atlasDim.x);\n\t\t\t\tcharId.y = floor(char / atlasDim.x);\n\n\t\t\t\tcharWidth = width * em;\n\n\t\t\t\tfontColor = color / 255.;\n\t\t\t}",frag:"\n\t\t\tprecision highp float;\n\t\t\tuniform float fontSize, charStep, opacity;\n\t\t\tuniform vec2 atlasSize;\n\t\t\tuniform vec4 viewport;\n\t\t\tuniform sampler2D atlas;\n\t\t\tvarying vec4 fontColor;\n\t\t\tvarying vec2 charCoord, charId;\n\t\t\tvarying float charWidth;\n\n\t\t\tfloat lightness(vec4 color) {\n\t\t\t\treturn color.r * 0.299 + color.g * 0.587 + color.b * 0.114;\n\t\t\t}\n\n\t\t\tvoid main () {\n\t\t\t\tvec2 uv = gl_FragCoord.xy - charCoord + charStep * .5;\n\t\t\t\tfloat halfCharStep = floor(charStep * .5 + .5);\n\n\t\t\t\t// invert y and shift by 1px (FF expecially needs that)\n\t\t\t\tuv.y = charStep - uv.y;\n\n\t\t\t\t// ignore points outside of character bounding box\n\t\t\t\tfloat halfCharWidth = ceil(charWidth * .5);\n\t\t\t\tif (floor(uv.x) > halfCharStep + halfCharWidth ||\n\t\t\t\t\tfloor(uv.x) < halfCharStep - halfCharWidth) return;\n\n\t\t\t\tuv += charId * charStep;\n\t\t\t\tuv = uv / atlasSize;\n\n\t\t\t\tvec4 color = fontColor;\n\t\t\t\tvec4 mask = texture2D(atlas, uv);\n\n\t\t\t\tfloat maskY = lightness(mask);\n\t\t\t\t// float colorY = lightness(color);\n\t\t\t\tcolor.a *= maskY;\n\t\t\t\tcolor.a *= opacity;\n\n\t\t\t\t// color.a += .1;\n\n\t\t\t\t// antialiasing, see yiq color space y-channel formula\n\t\t\t\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\n\n\t\t\t\tgl_FragColor = color;\n\t\t\t}"});return{regl:t,draw:e,atlas:{}}},T.prototype.update=function(t){var e=this;if("string"==typeof t)t={text:t};else if(!t)return;null!=(t=i(t,{position:"position positions coord coords coordinates",font:"font fontFace fontface typeface cssFont css-font family fontFamily",fontSize:"fontSize fontsize size font-size",text:"text texts chars characters value values symbols",align:"align alignment textAlign textbaseline",baseline:"baseline textBaseline textbaseline",direction:"dir direction textDirection",color:"color colour fill fill-color fillColor textColor textcolor",kerning:"kerning kern",range:"range dataBox",viewport:"vp viewport viewBox viewbox viewPort",opacity:"opacity alpha transparency visible visibility opaque",offset:"offset positionOffset padding shift indent indentation"},!0)).opacity&&(Array.isArray(t.opacity)?this.opacity=t.opacity.map((function(t){return parseFloat(t)})):this.opacity=parseFloat(t.opacity)),null!=t.viewport&&(this.viewport=f(t.viewport),this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null==this.viewport&&(this.viewport={x:0,y:0,width:this.gl.drawingBufferWidth,height:this.gl.drawingBufferHeight},this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null!=t.kerning&&(this.kerning=t.kerning),null!=t.offset&&("number"==typeof t.offset&&(t.offset=[t.offset,0]),this.positionOffset=y(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),this.font.length||t.font||(t.font=T.baseFontSize+"px sans-serif");var r,a=!1,o=!1;if(t.font&&(Array.isArray(t.font)?t.font:[t.font]).forEach((function(t,r){if("string"==typeof t)try{t=n.parse(t)}catch(e){t=n.parse(T.baseFontSize+"px "+t)}else t=n.parse(n.stringify(t));var i=n.stringify({size:T.baseFontSize,family:t.family,stretch:_?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),s=p(t.size),l=Math.round(s[0]*d(s[1]));if(l!==e.fontSize[r]&&(o=!0,e.fontSize[r]=l),!(e.font[r]&&i==e.font[r].baseString||(a=!0,e.font[r]=T.fonts[i],e.font[r]))){var c=t.family.join(", "),u=[t.style];t.style!=t.variant&&u.push(t.variant),t.variant!=t.weight&&u.push(t.weight),_&&t.weight!=t.stretch&&u.push(t.stretch),e.font[r]={baseString:i,family:c,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:v(c,{origin:"top",fontSize:T.baseFontSize,fontStyle:u.join(" ")})},T.fonts[i]=e.font[r]}})),(a||o)&&this.font.forEach((function(r,i){var a=n.stringify({size:e.fontSize[i],family:r.family,stretch:_?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[i]=e.shader.atlas[a],!e.fontAtlas[i]){var o=r.metrics;e.shader.atlas[a]=e.fontAtlas[i]={fontString:a,step:2*Math.ceil(e.fontSize[i]*o.bottom*.5),em:e.fontSize[i],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:e.regl.texture()}}null==t.text&&(t.text=e.text)})),"string"==typeof t.text&&t.position&&t.position.length>2){for(var s=Array(.5*t.position.length),h=0;h<s.length;h++)s[h]=t.text;t.text=s}if(null!=t.text||a){if(this.textOffsets=[0],Array.isArray(t.text)){this.count=t.text[0].length,this.counts=[this.count];for(var b=1;b<t.text.length;b++)this.textOffsets[b]=this.textOffsets[b-1]+t.text[b-1].length,this.count+=t.text[b].length,this.counts.push(t.text[b].length);this.text=t.text.join("")}else this.text=t.text,this.count=this.text.length,this.counts=[this.count];r=[],this.font.forEach((function(t,n){T.atlasContext.font=t.baseString;for(var i=e.fontAtlas[n],a=0;a<e.text.length;a++){var o=e.text.charAt(a);if(null==i.ids[o]&&(i.ids[o]=i.chars.length,i.chars.push(o),r.push(o)),null==t.width[o]&&(t.width[o]=T.atlasContext.measureText(o).width/T.baseFontSize,e.kerning)){var s=[];for(var l in t.width)s.push(l+o,o+l);g(t.kerning,m(t.family,{pairs:s}))}}}))}if(t.position)if(t.position.length>2){for(var w=!t.position[0].length,k=u.mallocFloat(2*this.count),A=0,M=0;A<this.counts.length;A++){var S=this.counts[A];if(w)for(var E=0;E<S;E++)k[M++]=t.position[2*A],k[M++]=t.position[2*A+1];else for(var L=0;L<S;L++)k[M++]=t.position[A][0],k[M++]=t.position[A][1]}this.position.call?this.position({type:"float",data:k}):this.position=this.regl.buffer({type:"float",data:k}),u.freeFloat(k)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||a){var C=u.mallocUint8(this.count),P=u.mallocFloat(2*this.count);this.textWidth=[];for(var I=0,O=0;I<this.counts.length;I++){for(var z=this.counts[I],D=this.font[I]||this.font[0],R=this.fontAtlas[I]||this.fontAtlas[0],F=0;F<z;F++){var B=this.text.charAt(O),N=this.text.charAt(O-1);if(C[O]=R.ids[B],P[2*O]=D.width[B],F){var j=P[2*O-2],U=P[2*O],V=P[2*O-1]+.5*j+.5*U;if(this.kerning){var H=D.kerning[N+B];H&&(V+=.001*H)}P[2*O+1]=V}else P[2*O+1]=.5*P[2*O];O++}this.textWidth.push(P.length?.5*P[2*O-2]+P[2*O-1]:0)}t.align||(t.align=this.align),this.charBuffer({data:C,type:"uint8",usage:"stream"}),this.sizeBuffer({data:P,type:"float",usage:"stream"}),u.freeUint8(C),u.freeFloat(P),r.length&&this.font.forEach((function(t,r){var n=e.fontAtlas[r],i=n.step,a=Math.floor(T.maxAtlasSize/i),o=Math.min(a,n.chars.length),s=Math.ceil(n.chars.length/o),l=x(o*i),u=x(s*i);n.width=l,n.height=u,n.rows=s,n.cols=o,n.em&&n.texture({data:c({canvas:T.atlasCanvas,font:n.fontString,chars:n.chars,shape:[l,u],step:[i,i]})})}))}if(t.align&&(this.align=t.align,this.alignOffset=this.textWidth.map((function(t,r){var n=Array.isArray(e.align)?e.align.length>1?e.align[r]:e.align[0]:e.align;if("number"==typeof n)return n;switch(n){case"right":case"end":return-t;case"center":case"centre":case"middle":return.5*-t}return 0}))),null==this.baseline&&null==t.baseline&&(t.baseline=0),null!=t.baseline&&(this.baseline=t.baseline,Array.isArray(this.baseline)||(this.baseline=[this.baseline]),this.baselineOffset=this.baseline.map((function(t,r){var n=(e.font[r]||e.font[0]).metrics,i=0;return i+=.5*n.bottom,i+="number"==typeof t?t-n.baseline:-n[t],i*=-1}))),null!=t.color)if(t.color||(t.color="transparent"),"string"!=typeof t.color&&isNaN(t.color)){var q;if("number"==typeof t.color[0]&&t.color.length>this.counts.length){var G=t.color.length;q=u.mallocUint8(G);for(var Y=(t.color.subarray||t.color.slice).bind(t.color),W=0;W<G;W+=4)q.set(l(Y(W,W+4),"uint8"),W)}else{var X=t.color.length;q=u.mallocUint8(4*X);for(var Z=0;Z<X;Z++)q.set(l(t.color[Z]||0,"uint8"),4*Z)}this.color=q}else this.color=l(t.color,"uint8");if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity)if(this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2){var J=Math.max(.5*this.position.length||0,.25*this.color.length||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,.5*this.positionOffset.length||0);this.batch=Array(J);for(var K=0;K<this.batch.length;K++)this.batch[K]={count:this.counts.length>1?this.counts[K]:this.counts[0],offset:this.textOffsets.length>1?this.textOffsets[K]:this.textOffsets[0],color:this.color?this.color.length<=4?this.color:this.color.subarray(4*K,4*K+4):[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[K]:this.opacity,baseline:null!=this.baselineOffset[K]?this.baselineOffset[K]:this.baselineOffset[0],align:this.align?null!=this.alignOffset[K]?this.alignOffset[K]:this.alignOffset[0]:0,atlas:this.fontAtlas[K]||this.fontAtlas[0],positionOffset:this.positionOffset.length>2?this.positionOffset.subarray(2*K,2*K+2):this.positionOffset}}else this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[]},T.prototype.destroy=function(){},T.prototype.kerning=!0,T.prototype.position={constant:new Float32Array(2)},T.prototype.translate=null,T.prototype.scale=null,T.prototype.font=null,T.prototype.text="",T.prototype.positionOffset=[0,0],T.prototype.opacity=1,T.prototype.color=new Uint8Array([0,0,0,255]),T.prototype.alignOffset=[0,0],T.maxAtlasSize=1024,T.atlasCanvas=document.createElement("canvas"),T.atlasContext=T.atlasCanvas.getContext("2d",{alpha:!1}),T.baseFontSize=64,T.fonts={},e.exports=T},{"bit-twiddle":77,"color-normalize":84,"css-font":94,"detect-kerning":119,"es6-weak-map":177,"flatten-vertex-data":186,"font-atlas":187,"font-measure":188,"gl-util/context":221,"is-plain-obj":231,"object-assign":242,"parse-rect":244,"parse-unit":246,"pick-by-alias":248,regl:278,"to-px":309,"typedarray-pool":322}],221:[function(t,e,r){(function(r){(function(){"use strict";var n=t("pick-by-alias");function i(t){if(t.container)if(t.container==document.body)document.body.style.width||(t.canvas.width=t.width||t.pixelRatio*r.innerWidth),document.body.style.height||(t.canvas.height=t.height||t.pixelRatio*r.innerHeight);else{var e=t.container.getBoundingClientRect();t.canvas.width=t.width||e.right-e.left,t.canvas.height=t.height||e.bottom-e.top}}function 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0===s?jr(e.default,r.default):n(e,r,s,i,a)}}}(this._parameters,this._specification))};function Qr(t){var e=t.key,r=t.value,n=t.valueSpec||{},i=t.objectElementValidators||{},a=t.style,o=t.styleSpec,s=[],l=Fr(r);if("object"!==l)return[new Ct(e,r,"object expected, "+l+" found")];for(var c in r){var u=c.split(".")[0],f=n[u]||n["*"],h=void 0;if(i[u])h=i[u];else if(n[u])h=kn;else if(i["*"])h=i["*"];else{if(!n["*"]){s.push(new Ct(e,r[c],'unknown property "'+c+'"'));continue}h=kn}s=s.concat(h({key:(e?e+".":e)+c,value:r[c],valueSpec:f,style:a,styleSpec:o,object:r,objectKey:c},r))}for(var p in n)i[p]||n[p].required&&void 0===n[p].default&&void 0===r[p]&&s.push(new Ct(e,r,'missing required property "'+p+'"'));return s}function $r(t){var e=t.value,r=t.valueSpec,n=t.style,i=t.styleSpec,a=t.key,o=t.arrayElementValidator||kn;if("array"!==Fr(e))return[new Ct(a,e,"array expected, "+Fr(e)+" found")];if(r.length&&e.length!==r.length)return[new Ct(a,e,"array length "+r.length+" expected, length 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0===t.value.property,l=!s,c="array"===Fr(t.value.stops)&&"array"===Fr(t.value.stops[0])&&"object"===Fr(t.value.stops[0][0]),u=Qr({key:t.key,value:t.value,valueSpec:t.styleSpec.function,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{stops:function(t){if("identity"===a)return[new Ct(t.key,t.value,'identity function may not have a "stops" property')];var e=[],r=t.value;e=e.concat($r({key:t.key,value:r,valueSpec:t.valueSpec,style:t.style,styleSpec:t.styleSpec,arrayElementValidator:f})),"array"===Fr(r)&&0===r.length&&e.push(new Ct(t.key,r,"array must have at least one stop"));return e},default:function(t){return kn({key:t.key,value:t.value,valueSpec:i,style:t.style,styleSpec:t.styleSpec})}}});return"identity"===a&&s&&u.push(new Ct(t.key,t.value,'missing required property "property"')),"identity"===a||t.value.stops||u.push(new Ct(t.key,t.value,'missing required property "stops"')),"exponential"===a&&t.valueSpec.expression&&!Rr(t.valueSpec)&&u.push(new Ct(t.key,t.value,"exponential functions not supported")),t.styleSpec.$version>=8&&(l&&!zr(t.valueSpec)?u.push(new Ct(t.key,t.value,"property functions not supported")):s&&!Dr(t.valueSpec)&&u.push(new Ct(t.key,t.value,"zoom functions not supported"))),"categorical"!==a&&!c||void 0!==t.value.property||u.push(new Ct(t.key,t.value,'"property" property is required')),u;function f(t){var e=[],a=t.value,s=t.key;if("array"!==Fr(a))return[new Ct(s,a,"array expected, "+Fr(a)+" found")];if(2!==a.length)return[new Ct(s,a,"array length 2 expected, length "+a.length+" found")];if(c){if("object"!==Fr(a[0]))return[new Ct(s,a,"object expected, "+Fr(a[0])+" found")];if(void 0===a[0].zoom)return[new Ct(s,a,"object stop key must have zoom")];if(void 0===a[0].value)return[new Ct(s,a,"object stop key must have value")];if(n&&n>Ot(a[0].zoom))return[new Ct(s,a[0].zoom,"stop zoom values must appear in ascending order")];Ot(a[0].zoom)!==n&&(n=Ot(a[0].zoom),r=void 0,o={}),e=e.concat(Qr({key:s+"[0]",value:a[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:tn,value:h}}))}else e=e.concat(h({key:s+"[0]",value:a[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},a));return Yr(zt(a[1]))?e.concat([new Ct(s+"[1]",a[1],"expressions are not allowed in function stops.")]):e.concat(kn({key:s+"[1]",value:a[1],valueSpec:i,style:t.style,styleSpec:t.styleSpec}))}function h(t,n){var s=Fr(t.value),l=Ot(t.value),c=null!==t.value?t.value:n;if(e){if(s!==e)return[new Ct(t.key,c,s+" stop domain type must match previous stop domain type "+e)]}else e=s;if("number"!==s&&"string"!==s&&"boolean"!==s)return[new Ct(t.key,c,"stop domain value must be a number, string, or boolean")];if("number"!==s&&"categorical"!==a){var u="number expected, "+s+" found";return zr(i)&&void 0===a&&(u+='\nIf you intended to use a categorical function, specify `"type": "categorical"`.'),[new Ct(t.key,c,u)]}return"categorical"!==a||"number"!==s||isFinite(l)&&Math.floor(l)===l?"categorical"!==a&&"number"===s&&void 0!==r&&l<r?[new Ct(t.key,c,"stop domain values must appear in ascending order")]:(r=l,"categorical"===a&&l in o?[new Ct(t.key,c,"stop domain values must be unique")]:(o[l]=!0,[])):[new Ct(t.key,c,"integer expected, found "+l)]}}function rn(t){var e=("property"===t.expressionContext?Jr:Wr)(zt(t.value),t.valueSpec);if("error"===e.result)return e.value.map((function(e){return new Ct(""+t.key+e.key,t.value,e.message)}));var r=e.value.expression||e.value._styleExpression.expression;if("property"===t.expressionContext&&"text-font"===t.propertyKey&&!r.outputDefined())return[new Ct(t.key,t.value,'Invalid data expression for "'+t.propertyKey+'". Output values must be contained as literals within the expression.')];if("property"===t.expressionContext&&"layout"===t.propertyType&&!Be(r))return[new Ct(t.key,t.value,'"feature-state" data expressions are not supported with layout properties.')];if("filter"===t.expressionContext&&!Be(r))return[new Ct(t.key,t.value,'"feature-state" data expressions are not supported with filters.')];if(t.expressionContext&&0===t.expressionContext.indexOf("cluster")){if(!Ne(r,["zoom","feature-state"]))return[new Ct(t.key,t.value,'"zoom" and "feature-state" expressions are not supported with cluster properties.')];if("cluster-initial"===t.expressionContext&&!Fe(r))return[new Ct(t.key,t.value,"Feature data expressions are not supported with initial expression part of cluster properties.")]}return[]}function nn(t){var e=t.key,r=t.value,n=t.valueSpec,i=[];return Array.isArray(n.values)?-1===n.values.indexOf(Ot(r))&&i.push(new Ct(e,r,"expected one of ["+n.values.join(", ")+"], "+JSON.stringify(r)+" found")):-1===Object.keys(n.values).indexOf(Ot(r))&&i.push(new Ct(e,r,"expected one of ["+Object.keys(n.values).join(", ")+"], "+JSON.stringify(r)+" found")),i}function an(t){if(!0===t||!1===t)return!0;if(!Array.isArray(t)||0===t.length)return!1;switch(t[0]){case"has":return t.length>=2&&"$id"!==t[1]&&"$type"!==t[1];case"in":return t.length>=3&&("string"!=typeof t[1]||Array.isArray(t[2]));case"!in":case"!has":case"none":return!1;case"==":case"!=":case">":case">=":case"<":case"<=":return 3!==t.length||Array.isArray(t[1])||Array.isArray(t[2]);case"any":case"all":for(var e=0,r=t.slice(1);e<r.length;e+=1){var n=r[e];if(!an(n)&&"boolean"!=typeof n)return!1}return!0;default:return!0}}Kr.deserialize=function(t){return new Kr(t._parameters,t._specification)},Kr.serialize=function(t){return{_parameters:t._parameters,_specification:t._specification}};var on={type:"boolean",default:!1,transition:!1,"property-type":"data-driven",expression:{interpolated:!1,parameters:["zoom","feature"]}};function sn(t){if(null==t)return{filter:function(){return!0},needGeometry:!1};an(t)||(t=cn(t));var e=Wr(t,on);if("error"===e.result)throw new Error(e.value.map((function(t){return t.key+": "+t.message})).join(", "));return{filter:function(t,r,n){return e.value.evaluate(t,r,{},n)},needGeometry:function t(e){if(!Array.isArray(e))return!1;if("within"===e[0])return!0;for(var r=1;r<e.length;r++)if(t(e[r]))return!0;return!1}(t)}}function ln(t,e){return t<e?-1:t>e?1:0}function cn(t){if(!t)return!0;var e,r=t[0];return t.length<=1?"any"!==r:"=="===r?un(t[1],t[2],"=="):"!="===r?pn(un(t[1],t[2],"==")):"<"===r||">"===r||"<="===r||">="===r?un(t[1],t[2],r):"any"===r?(e=t.slice(1),["any"].concat(e.map(cn))):"all"===r?["all"].concat(t.slice(1).map(cn)):"none"===r?["all"].concat(t.slice(1).map(cn).map(pn)):"in"===r?fn(t[1],t.slice(2)):"!in"===r?pn(fn(t[1],t.slice(2))):"has"===r?hn(t[1]):"!has"===r?pn(hn(t[1])):"within"!==r||t}function un(t,e,r){switch(t){case"$type":return["filter-type-"+r,e];case"$id":return["filter-id-"+r,e];default:return["filter-"+r,t,e]}}function fn(t,e){if(0===e.length)return!1;switch(t){case"$type":return["filter-type-in",["literal",e]];case"$id":return["filter-id-in",["literal",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?["filter-in-large",t,["literal",e.sort(ln)]]:["filter-in-small",t,["literal",e]]}}function hn(t){switch(t){case"$type":return!0;case"$id":return["filter-has-id"];default:return["filter-has",t]}}function pn(t){return["!",t]}function dn(t){return an(zt(t.value))?rn(It({},t,{expressionContext:"filter",valueSpec:{value:"boolean"}})):function t(e){var r=e.value,n=e.key;if("array"!==Fr(r))return[new Ct(n,r,"array expected, "+Fr(r)+" found")];var i,a=e.styleSpec,o=[];if(r.length<1)return[new Ct(n,r,"filter array must have at least 1 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Ct(n,r,'filter array for "'+r[0]+'" operator must have 2 elements')):"string"!==i&&o.push(new Ct(n+"[1]",r[1],"string expected, "+i+" found"));break;case"within":i=Fr(r[1]),2!==r.length?o.push(new Ct(n,r,'filter array for "'+r[0]+'" operator must have 2 elements')):"object"!==i&&o.push(new Ct(n+"[1]",r[1],"object expected, "+i+" found"))}return o}(t)}function mn(t,e){var r=t.key,n=t.style,i=t.styleSpec,a=t.value,o=t.objectKey,s=i[e+"_"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if("paint"===e&&l&&s[l[1]]&&s[l[1]].transition)return kn({key:r,value:a,valueSpec:i.transition,style:n,styleSpec:i});var c,u=t.valueSpec||s[o];if(!u)return[new Ct(r,a,'unknown property "'+o+'"')];if("string"===Fr(a)&&zr(u)&&!u.tokens&&(c=/^{([^}]+)}$/.exec(a)))return[new Ct(r,a,'"'+o+'" does not support interpolation syntax\nUse an identity property function instead: `{ "type": "identity", "property": '+JSON.stringify(c[1])+" }`.")];var f=[];return"symbol"===t.layerType&&("text-field"===o&&n&&!n.glyphs&&f.push(new Ct(r,a,'use of "text-field" requires a style "glyphs" property')),"text-font"===o&&Br(zt(a))&&"identity"===Ot(a.type)&&f.push(new Ct(r,a,'"text-font" does not support identity functions'))),f.concat(kn({key:t.key,value:a,valueSpec:u,style:n,styleSpec:i,expressionContext:"property",propertyType:e,propertyKey:o}))}function gn(t){return mn(t,"paint")}function vn(t){return mn(t,"layout")}function yn(t){var e=[],r=t.value,n=t.key,i=t.style,a=t.styleSpec;r.type||r.ref||e.push(new Ct(n,r,'either "type" or "ref" is required'));var o,s=Ot(r.type),l=Ot(r.ref);if(r.id)for(var c=Ot(r.id),u=0;u<t.arrayIndex;u++){var f=i.layers[u];Ot(f.id)===c&&e.push(new Ct(n,r.id,'duplicate layer id "'+r.id+'", previously used at line '+f.id.__line__))}if("ref"in r)["type","source","source-layer","filter","layout"].forEach((function(t){t in r&&e.push(new Ct(n,r[t],'"'+t+'" is prohibited for ref 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e.push(new Ct(n,r,'missing required property "source"'));return e=e.concat(Qr({key:n,value:r,valueSpec:a.layer,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{"*":function(){return[]},type:function(){return kn({key:n+".type",value:r.type,valueSpec:a.layer.type,style:t.style,styleSpec:t.styleSpec,object:r,objectKey:"type"})},filter:dn,layout:function(t){return Qr({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{"*":function(t){return vn(It({layerType:s},t))}}})},paint:function(t){return Qr({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{"*":function(t){return gn(It({layerType:s},t))}}})}}}))}function xn(t){var e=t.value,r=t.key,n=Fr(e);return"string"!==n?[new Ct(r,e,"string expected, "+n+" found")]:[]}var bn={promoteId:function(t){var e=t.key,r=t.value;if("string"===Fr(r))return xn({key:e,value:r});var n=[];for(var i in r)n.push.apply(n,xn({key:e+"."+i,value:r[i]}));return n}};function _n(t){var e=t.value,r=t.key,n=t.styleSpec,i=t.style;if(!e.type)return[new Ct(r,e,'"type" is required')];var a,o=Ot(e.type);switch(o){case"vector":case"raster":case"raster-dem":return a=Qr({key:r,value:e,valueSpec:n["source_"+o.replace("-","_")],style:t.style,styleSpec:n,objectElementValidators:bn});case"geojson":if(a=Qr({key:r,value:e,valueSpec:n.source_geojson,style:i,styleSpec:n,objectElementValidators:bn}),e.cluster)for(var s in e.clusterProperties){var l=e.clusterProperties[s],c=l[0],u=l[1],f="string"==typeof c?[c,["accumulated"],["get",s]]:c;a.push.apply(a,rn({key:r+"."+s+".map",value:u,expressionContext:"cluster-map"})),a.push.apply(a,rn({key:r+"."+s+".reduce",value:f,expressionContext:"cluster-reduce"}))}return a;case"video":return Qr({key:r,value:e,valueSpec:n.source_video,style:i,styleSpec:n});case"image":return Qr({key:r,value:e,valueSpec:n.source_image,style:i,styleSpec:n});case"canvas":return[new Ct(r,null,"Please use runtime APIs to add canvas sources, rather 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vi=function(t,e,r,n,i){this.property=t,this.value=e,this.begin=i+n.delay||0,this.end=this.begin+n.duration||0,t.specification.transition&&(n.delay||n.duration)&&(this.prior=r)};vi.prototype.possiblyEvaluate=function(t,e,r){var n=t.now||0,i=this.value.possiblyEvaluate(t,e,r),a=this.prior;if(a){if(n>this.end)return this.prior=null,i;if(this.value.isDataDriven())return this.prior=null,i;if(n<this.begin)return a.possiblyEvaluate(t,e,r);var o=(n-this.begin)/(this.end-this.begin);return this.property.interpolate(a.possiblyEvaluate(t,e,r),i,function(t){if(t<=0)return 0;if(t>=1)return 1;var e=t*t,r=e*t;return 4*(t<.5?r:3*(t-e)+r-.75)}(o))}return i};var yi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};yi.prototype.possiblyEvaluate=function(t,e,r){for(var n=new _i(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n},yi.prototype.hasTransition=function(){for(var t=0,e=Object.keys(this._values);t<e.length;t+=1){var r=e[t];if(this._values[r].prior)return!0}return!1};var xi=function(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)};xi.prototype.getValue=function(t){return x(this._values[t].value)},xi.prototype.setValue=function(t,e){this._values[t]=new di(this._values[t].property,null===e?void 0:x(e))},xi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i)}return t},xi.prototype.possiblyEvaluate=function(t,e,r){for(var n=new _i(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n};var bi=function(t,e,r){this.property=t,this.value=e,this.parameters=r};bi.prototype.isConstant=function(){return"constant"===this.value.kind},bi.prototype.constantOr=function(t){return"constant"===this.value.kind?this.value.value:t},bi.prototype.evaluate=function(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)};var _i=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};_i.prototype.get=function(t){return this._values[t]};var wi=function(t){this.specification=t};wi.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},wi.prototype.interpolate=function(t,e,r){var n=Ge[this.specification.type];return n?n(t,e,r):t};var Ti=function(t,e){this.specification=t,this.overrides=e};Ti.prototype.possiblyEvaluate=function(t,e,r,n){return"constant"===t.expression.kind||"camera"===t.expression.kind?new bi(this,{kind:"constant",value:t.expression.evaluate(e,null,{},r,n)},e):new bi(this,t.expression,e)},Ti.prototype.interpolate=function(t,e,r){if("constant"!==t.value.kind||"constant"!==e.value.kind)return t;if(void 0===t.value.value||void 0===e.value.value)return new bi(this,{kind:"constant",value:void 0},t.parameters);var n=Ge[this.specification.type];return n?new bi(this,{kind:"constant",value:n(t.value.value,e.value.value,r)},t.parameters):t},Ti.prototype.evaluate=function(t,e,r,n,i,a){return"constant"===t.kind?t.value:t.evaluate(e,r,n,i,a)};var ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0===t.value)return new bi(this,{kind:"constant",value:void 0},e);if("constant"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n),a="resolvedImage"===t.property.specification.type&&"string"!=typeof i?i.name:i,o=this._calculate(a,a,a,e);return new bi(this,{kind:"constant",value:o},e)}if("camera"===t.expression.kind){var s=this._calculate(t.expression.evaluate({zoom:e.zoom-1}),t.expression.evaluate({zoom:e.zoom}),t.expression.evaluate({zoom:e.zoom+1}),e);return new bi(this,{kind:"constant",value:s},e)}return new bi(this,t.expression,e)},e.prototype.evaluate=function(t,e,r,n,i,a){if("source"===t.kind){var o=t.evaluate(e,r,n,i,a);return this._calculate(o,o,o,e)}return"composite"===t.kind?this._calculate(t.evaluate({zoom:Math.floor(e.zoom)-1},r,n),t.evaluate({zoom:Math.floor(e.zoom)},r,n),t.evaluate({zoom:Math.floor(e.zoom)+1},r,n),e):t.value},e.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},e.prototype.interpolate=function(t){return t},e}(Ti),Ai=function(t){this.specification=t};Ai.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0!==t.value){if("constant"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n);return this._calculate(i,i,i,e)}return this._calculate(t.expression.evaluate(new pi(Math.floor(e.zoom-1),e)),t.expression.evaluate(new pi(Math.floor(e.zoom),e)),t.expression.evaluate(new pi(Math.floor(e.zoom+1),e)),e)}},Ai.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},Ai.prototype.interpolate=function(t){return t};var Mi=function(t){this.specification=t};Mi.prototype.possiblyEvaluate=function(t,e,r,n){return!!t.expression.evaluate(e,null,{},r,n)},Mi.prototype.interpolate=function(){return!1};var Si=function(t){for(var e in this.properties=t,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[],t){var r=t[e];r.specification.overridable&&this.overridableProperties.push(e);var n=this.defaultPropertyValues[e]=new di(r,void 0),i=this.defaultTransitionablePropertyValues[e]=new mi(r);this.defaultTransitioningPropertyValues[e]=i.untransitioned(),this.defaultPossiblyEvaluatedValues[e]=n.possiblyEvaluate({})}};Nn("DataDrivenProperty",Ti),Nn("DataConstantProperty",wi),Nn("CrossFadedDataDrivenProperty",ki),Nn("CrossFadedProperty",Ai),Nn("ColorRampProperty",Mi);var Ei=function(t){function e(e,r){if(t.call(this),this.id=e.id,this.type=e.type,this._featureFilter={filter:function(){return!0},needGeometry:!1},"custom"!==e.type&&(e=e,this.metadata=e.metadata,this.minzoom=e.minzoom,this.maxzoom=e.maxzoom,"background"!==e.type&&(this.source=e.source,this.sourceLayer=e["source-layer"],this.filter=e.filter),r.layout&&(this._unevaluatedLayout=new xi(r.layout)),r.paint)){for(var n in this._transitionablePaint=new gi(r.paint),e.paint)this.setPaintProperty(n,e.paint[n],{validate:!1});for(var i in e.layout)this.setLayoutProperty(i,e.layout[i],{validate:!1});this._transitioningPaint=this._transitionablePaint.untransitioned(),this.paint=new _i(r.paint)}}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getCrossfadeParameters=function(){return this._crossfadeParameters},e.prototype.getLayoutProperty=function(t){return"visibility"===t?this.visibility:this._unevaluatedLayout.getValue(t)},e.prototype.setLayoutProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n="layers."+this.id+".layout."+t;if(this._validate(In,n,t,e,r))return}"visibility"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e},e.prototype.getPaintProperty=function(t){return g(t,"-transition")?this._transitionablePaint.getTransition(t.slice(0,-"-transition".length)):this._transitionablePaint.getValue(t)},e.prototype.setPaintProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n="layers."+this.id+".paint."+t;if(this._validate(Pn,n,t,e,r))return!1}if(g(t,"-transition"))return this._transitionablePaint.setTransition(t.slice(0,-"-transition".length),e||void 0),!1;var i=this._transitionablePaint._values[t],a="cross-faded-data-driven"===i.property.specification["property-type"],o=i.value.isDataDriven(),s=i.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var l=this._transitionablePaint._values[t].value;return l.isDataDriven()||o||a||this._handleOverridablePaintPropertyUpdate(t,s,l)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t<this.minzoom)||(!!(this.maxzoom&&t>=this.maxzoom)||"none"===this.visibility)},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,"source-layer":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),y(t,(function(t,e){return!(void 0===t||"layout"===e&&!Object.keys(t).length||"paint"===e&&!Object.keys(t).length)}))},e.prototype._validate=function(t,e,r,n,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&On(this,t.call(Ln,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:Lt,style:{glyphs:!0,sprite:!0}}))},e.prototype.is3D=function(){return!1},e.prototype.isTileClipped=function(){return!1},e.prototype.hasOffscreenPass=function(){return!1},e.prototype.resize=function(){},e.prototype.isStateDependent=function(){for(var t in this.paint._values){var e=this.paint.get(t);if(e instanceof bi&&zr(e.property.specification)&&(("source"===e.value.kind||"composite"===e.value.kind)&&e.value.isStateDependent))return!0}return!1},e}(Et),Li={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},Ci=function(t,e){this._structArray=t,this._pos1=e*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8},Pi=function(){this.isTransferred=!1,this.capacity=-1,this.resize(0)};function Ii(t,e){void 0===e&&(e=1);var r=0,n=0;return{members:t.map((function(t){var i,a=(i=t.type,Li[i].BYTES_PER_ELEMENT),o=r=Oi(r,Math.max(e,a)),s=t.components||1;return n=Math.max(n,a),r+=a*s,{name:t.name,type:t.type,components:s,offset:o}})),size:Oi(r,Math.max(n,e)),alignment:e}}function Oi(t,e){return Math.ceil(t/e)*e}Pi.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},Pi.deserialize=function(t){var e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e},Pi.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},Pi.prototype.clear=function(){this.length=0},Pi.prototype.resize=function(t){this.reserve(t),this.length=t},Pi.prototype.reserve=function(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);var e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}},Pi.prototype._refreshViews=function(){throw new Error("_refreshViews() must be implemented by each concrete StructArray layout")};var zi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t},e}(Pi);zi.prototype.bytesPerElement=4,Nn("StructArrayLayout2i4",zi);var Di=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.int16[a+0]=e,this.int16[a+1]=r,this.int16[a+2]=n,this.int16[a+3]=i,t},e}(Pi);Di.prototype.bytesPerElement=8,Nn("StructArrayLayout4i8",Di);var Ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Pi);Ri.prototype.bytesPerElement=12,Nn("StructArrayLayout2i4i12",Ri);var Fi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=i,this.uint8[l+6]=a,this.uint8[l+7]=o,t},e}(Pi);Fi.prototype.bytesPerElement=8,Nn("StructArrayLayout2i4ub8",Fi);var Bi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c){var u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l,c)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u){var f=9*t,h=18*t;return this.uint16[f+0]=e,this.uint16[f+1]=r,this.uint16[f+2]=n,this.uint16[f+3]=i,this.uint16[f+4]=a,this.uint16[f+5]=o,this.uint16[f+6]=s,this.uint16[f+7]=l,this.uint8[h+16]=c,this.uint8[h+17]=u,t},e}(Pi);Bi.prototype.bytesPerElement=18,Nn("StructArrayLayout8ui2ub18",Bi);var Ni=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f){var h=this.length;return this.resize(h+1),this.emplace(h,t,e,r,n,i,a,o,s,l,c,u,f)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h){var p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=i,this.uint16[p+4]=a,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=c,this.int16[p+9]=u,this.int16[p+10]=f,this.int16[p+11]=h,t},e}(Pi);Ni.prototype.bytesPerElement=24,Nn("StructArrayLayout4i4ui4i24",Ni);var ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t},e}(Pi);ji.prototype.bytesPerElement=12,Nn("StructArrayLayout3f12",ji);var Ui=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint32[r+0]=e,t},e}(Pi);Ui.prototype.bytesPerElement=4,Nn("StructArrayLayout1ul4",Ui);var Vi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l){var c=this.length;return this.resize(c+1),this.emplace(c,t,e,r,n,i,a,o,s,l)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c){var u=10*t,f=5*t;return this.int16[u+0]=e,this.int16[u+1]=r,this.int16[u+2]=n,this.int16[u+3]=i,this.int16[u+4]=a,this.int16[u+5]=o,this.uint32[f+3]=s,this.uint16[u+8]=l,this.uint16[u+9]=c,t},e}(Pi);Vi.prototype.bytesPerElement=20,Nn("StructArrayLayout6i1ul2ui20",Vi);var Hi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Pi);Hi.prototype.bytesPerElement=12,Nn("StructArrayLayout2i2i2i12",Hi);var qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n,i)},e.prototype.emplace=function(t,e,r,n,i,a){var o=4*t,s=8*t;return this.float32[o+0]=e,this.float32[o+1]=r,this.float32[o+2]=n,this.int16[s+6]=i,this.int16[s+7]=a,t},e}(Pi);qi.prototype.bytesPerElement=16,Nn("StructArrayLayout2f1f2i16",qi);var Gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=12*t,o=3*t;return this.uint8[a+0]=e,this.uint8[a+1]=r,this.float32[o+1]=n,this.float32[o+2]=i,t},e}(Pi);Gi.prototype.bytesPerElement=12,Nn("StructArrayLayout2ub2f12",Gi);var Yi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.uint16[i+0]=e,this.uint16[i+1]=r,this.uint16[i+2]=n,t},e}(Pi);Yi.prototype.bytesPerElement=6,Nn("StructArrayLayout3ui6",Yi);var Wi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g){var v=this.length;return this.resize(v+1),this.emplace(v,t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v){var y=24*t,x=12*t,b=48*t;return this.int16[y+0]=e,this.int16[y+1]=r,this.uint16[y+2]=n,this.uint16[y+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[y+10]=l,this.uint16[y+11]=c,this.uint16[y+12]=u,this.float32[x+7]=f,this.float32[x+8]=h,this.uint8[b+36]=p,this.uint8[b+37]=d,this.uint8[b+38]=m,this.uint32[x+10]=g,this.int16[y+22]=v,t},e}(Pi);Wi.prototype.bytesPerElement=48,Nn("StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48",Wi);var Xi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,A,M,S){var E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,A,M,S)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,A,M,S,E){var L=34*t,C=17*t;return this.int16[L+0]=e,this.int16[L+1]=r,this.int16[L+2]=n,this.int16[L+3]=i,this.int16[L+4]=a,this.int16[L+5]=o,this.int16[L+6]=s,this.int16[L+7]=l,this.uint16[L+8]=c,this.uint16[L+9]=u,this.uint16[L+10]=f,this.uint16[L+11]=h,this.uint16[L+12]=p,this.uint16[L+13]=d,this.uint16[L+14]=m,this.uint16[L+15]=g,this.uint16[L+16]=v,this.uint16[L+17]=y,this.uint16[L+18]=x,this.uint16[L+19]=b,this.uint16[L+20]=_,this.uint16[L+21]=w,this.uint16[L+22]=T,this.uint32[C+12]=k,this.float32[C+13]=A,this.float32[C+14]=M,this.float32[C+15]=S,this.float32[C+16]=E,t},e}(Pi);Xi.prototype.bytesPerElement=68,Nn("StructArrayLayout8i15ui1ul4f68",Xi);var Zi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.float32[r+0]=e,t},e}(Pi);Zi.prototype.bytesPerElement=4,Nn("StructArrayLayout1f4",Zi);var Ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.int16[i+0]=e,this.int16[i+1]=r,this.int16[i+2]=n,t},e}(Pi);Ji.prototype.bytesPerElement=6,Nn("StructArrayLayout3i6",Ji);var Ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=2*t,a=4*t;return this.uint32[i+0]=e,this.uint16[a+2]=r,this.uint16[a+3]=n,t},e}(Pi);Ki.prototype.bytesPerElement=8,Nn("StructArrayLayout1ul2ui8",Ki);var Qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.uint16[n+0]=e,this.uint16[n+1]=r,t},e}(Pi);Qi.prototype.bytesPerElement=4,Nn("StructArrayLayout2ui4",Qi);var $i=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint16[r+0]=e,t},e}(Pi);$i.prototype.bytesPerElement=2,Nn("StructArrayLayout1ui2",$i);var ta=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.float32[n+0]=e,this.float32[n+1]=r,t},e}(Pi);ta.prototype.bytesPerElement=8,Nn("StructArrayLayout2f8",ta);var ea=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,this.float32[a+3]=i,t},e}(Pi);ea.prototype.bytesPerElement=16,Nn("StructArrayLayout4f16",ea);var ra=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorPointX:{configurable:!0},anchorPointY:{configurable:!0},x1:{configurable:!0},y1:{configurable:!0},x2:{configurable:!0},y2:{configurable:!0},featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0},anchorPoint:{configurable:!0}};return r.anchorPointX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorPointY.get=function(){return this._structArray.int16[this._pos2+1]},r.x1.get=function(){return this._structArray.int16[this._pos2+2]},r.y1.get=function(){return this._structArray.int16[this._pos2+3]},r.x2.get=function(){return this._structArray.int16[this._pos2+4]},r.y2.get=function(){return this._structArray.int16[this._pos2+5]},r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+8]},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.anchorPoint.get=function(){return new i(this.anchorPointX,this.anchorPointY)},Object.defineProperties(e.prototype,r),e}(Ci);ra.prototype.size=20;var na=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ra(this,t)},e}(Vi);Nn("CollisionBoxArray",na);var ia=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},glyphStartIndex:{configurable:!0},numGlyphs:{configurable:!0},vertexStartIndex:{configurable:!0},lineStartIndex:{configurable:!0},lineLength:{configurable:!0},segment:{configurable:!0},lowerSize:{configurable:!0},upperSize:{configurable:!0},lineOffsetX:{configurable:!0},lineOffsetY:{configurable:!0},writingMode:{configurable:!0},placedOrientation:{configurable:!0},hidden:{configurable:!0},crossTileID:{configurable:!0},associatedIconIndex:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.glyphStartIndex.get=function(){return this._structArray.uint16[this._pos2+2]},r.numGlyphs.get=function(){return this._structArray.uint16[this._pos2+3]},r.vertexStartIndex.get=function(){return this._structArray.uint32[this._pos4+2]},r.lineStartIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.lineLength.get=function(){return this._structArray.uint32[this._pos4+4]},r.segment.get=function(){return this._structArray.uint16[this._pos2+10]},r.lowerSize.get=function(){return this._structArray.uint16[this._pos2+11]},r.upperSize.get=function(){return this._structArray.uint16[this._pos2+12]},r.lineOffsetX.get=function(){return this._structArray.float32[this._pos4+7]},r.lineOffsetY.get=function(){return this._structArray.float32[this._pos4+8]},r.writingMode.get=function(){return this._structArray.uint8[this._pos1+36]},r.placedOrientation.get=function(){return this._structArray.uint8[this._pos1+37]},r.placedOrientation.set=function(t){this._structArray.uint8[this._pos1+37]=t},r.hidden.get=function(){return this._structArray.uint8[this._pos1+38]},r.hidden.set=function(t){this._structArray.uint8[this._pos1+38]=t},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+10]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+10]=t},r.associatedIconIndex.get=function(){return this._structArray.int16[this._pos2+22]},Object.defineProperties(e.prototype,r),e}(Ci);ia.prototype.size=48;var aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ia(this,t)},e}(Wi);Nn("PlacedSymbolArray",aa);var oa=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},rightJustifiedTextSymbolIndex:{configurable:!0},centerJustifiedTextSymbolIndex:{configurable:!0},leftJustifiedTextSymbolIndex:{configurable:!0},verticalPlacedTextSymbolIndex:{configurable:!0},placedIconSymbolIndex:{configurable:!0},verticalPlacedIconSymbolIndex:{configurable:!0},key:{configurable:!0},textBoxStartIndex:{configurable:!0},textBoxEndIndex:{configurable:!0},verticalTextBoxStartIndex:{configurable:!0},verticalTextBoxEndIndex:{configurable:!0},iconBoxStartIndex:{configurable:!0},iconBoxEndIndex:{configurable:!0},verticalIconBoxStartIndex:{configurable:!0},verticalIconBoxEndIndex:{configurable:!0},featureIndex:{configurable:!0},numHorizontalGlyphVertices:{configurable:!0},numVerticalGlyphVertices:{configurable:!0},numIconVertices:{configurable:!0},numVerticalIconVertices:{configurable:!0},useRuntimeCollisionCircles:{configurable:!0},crossTileID:{configurable:!0},textBoxScale:{configurable:!0},textOffset0:{configurable:!0},textOffset1:{configurable:!0},collisionCircleDiameter:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.rightJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+2]},r.centerJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+3]},r.leftJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+4]},r.verticalPlacedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+5]},r.placedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+6]},r.verticalPlacedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+7]},r.key.get=function(){return this._structArray.uint16[this._pos2+8]},r.textBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.textBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+10]},r.verticalTextBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+11]},r.verticalTextBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+12]},r.iconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+13]},r.iconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+14]},r.verticalIconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+15]},r.verticalIconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+16]},r.featureIndex.get=function(){return this._structArray.uint16[this._pos2+17]},r.numHorizontalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+18]},r.numVerticalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+19]},r.numIconVertices.get=function(){return this._structArray.uint16[this._pos2+20]},r.numVerticalIconVertices.get=function(){return this._structArray.uint16[this._pos2+21]},r.useRuntimeCollisionCircles.get=function(){return this._structArray.uint16[this._pos2+22]},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+12]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+12]=t},r.textBoxScale.get=function(){return this._structArray.float32[this._pos4+13]},r.textOffset0.get=function(){return this._structArray.float32[this._pos4+14]},r.textOffset1.get=function(){return this._structArray.float32[this._pos4+15]},r.collisionCircleDiameter.get=function(){return this._structArray.float32[this._pos4+16]},Object.defineProperties(e.prototype,r),e}(Ci);oa.prototype.size=68;var sa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new oa(this,t)},e}(Xi);Nn("SymbolInstanceArray",sa);var la=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getoffsetX=function(t){return this.float32[1*t+0]},e}(Zi);Nn("GlyphOffsetArray",la);var ca=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getx=function(t){return this.int16[3*t+0]},e.prototype.gety=function(t){return this.int16[3*t+1]},e.prototype.gettileUnitDistanceFromAnchor=function(t){return this.int16[3*t+2]},e}(Ji);Nn("SymbolLineVertexArray",ca);var ua=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0}};return r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+0]},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+2]},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+3]},Object.defineProperties(e.prototype,r),e}(Ci);ua.prototype.size=8;var fa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ua(this,t)},e}(Ki);Nn("FeatureIndexArray",fa);var ha=Ii([{name:"a_pos",components:2,type:"Int16"}],4).members,pa=function(t){void 0===t&&(t=[]),this.segments=t};function da(t,e){return 256*(t=l(Math.floor(t),0,255))+(e=l(Math.floor(e),0,255))}pa.prototype.prepareSegment=function(t,e,r,n){var i=this.segments[this.segments.length-1];return t>pa.MAX_VERTEX_ARRAY_LENGTH&&_("Max vertices per segment is "+pa.MAX_VERTEX_ARRAY_LENGTH+": bucket requested "+t),(!i||i.vertexLength+t>pa.MAX_VERTEX_ARRAY_LENGTH||i.sortKey!==n)&&(i={vertexOffset:e.length,primitiveOffset:r.length,vertexLength:0,primitiveLength:0},void 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t.paint._values)if(r(a)){var o=t.paint.get(a);if(o instanceof bi&&zr(o.property.specification)){var s=Va(a,t.type),l=o.value,c=o.property.specification.type,u=o.property.useIntegerZoom,f=o.property.specification["property-type"],h="cross-faded"===f||"cross-faded-data-driven"===f;if("constant"===l.kind)this.binders[a]=h?new Ra(l.value,s):new Da(l.value,s,c),i.push("/u_"+a);else if("source"===l.kind||h){var p=Ha(a,c,"source");this.binders[a]=h?new Na(l,c,u,e,p,t.id):new Fa(l,s,c,p),i.push("/a_"+a)}else{var d=Ha(a,c,"composite");this.binders[a]=new Ba(l,s,c,u,e,d),i.push("/z_"+a)}}}this.cacheKey=i.sort().join("")};ja.prototype.getMaxValue=function(t){var e=this.binders[t];return e instanceof Fa||e instanceof Ba?e.maxValue:0},ja.prototype.populatePaintArrays=function(t,e,r,n,i){for(var a in this.binders){var o=this.binders[a];(o instanceof Fa||o instanceof Ba||o instanceof Na)&&o.populatePaintArray(t,e,r,n,i)}},ja.prototype.setConstantPatternPositions=function(t,e){for(var r in 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c=t.readVarint();n=7&c,a=c>>3}if(a--,1===n||2===n)o+=t.readSVarint(),s+=t.readSVarint(),1===n&&(e&&l.push(e),e=[]),e.push(new i(o,s));else{if(7!==n)throw new Error("unknown command "+n);e&&e.push(e[0].clone())}}return e&&l.push(e),l},ws.prototype.bbox=function(){var t=this._pbf;t.pos=this._geometry;for(var e=t.readVarint()+t.pos,r=1,n=0,i=0,a=0,o=1/0,s=-1/0,l=1/0,c=-1/0;t.pos<e;){if(n<=0){var u=t.readVarint();r=7&u,n=u>>3}if(n--,1===r||2===r)(i+=t.readSVarint())<o&&(o=i),i>s&&(s=i),(a+=t.readSVarint())<l&&(l=a),a>c&&(c=a);else if(7!==r)throw new Error("unknown command "+r)}return[o,l,s,c]},ws.prototype.toGeoJSON=function(t,e,r){var n,i,a=this.extent*Math.pow(2,r),o=this.extent*t,s=this.extent*e,l=this.loadGeometry(),c=ws.types[this.type];function u(t){for(var e=0;e<t.length;e++){var r=t[e],n=180-360*(r.y+s)/a;t[e]=[360*(r.x+o)/a-180,360/Math.PI*Math.atan(Math.exp(n*Math.PI/180))-90]}}switch(this.type){case 1:var f=[];for(n=0;n<l.length;n++)f[n]=l[n][0];u(l=f);break;case 2:for(n=0;n<l.length;n++)u(l[n]);break;case 3:for(l=function(t){var e=t.length;if(e<=1)return[t];for(var r,n,i=[],a=0;a<e;a++){var o=ks(t[a]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&i.push(r),r=[t[a]]):r.push(t[a]))}r&&i.push(r);return i}(l),n=0;n<l.length;n++)for(i=0;i<l[n].length;i++)u(l[n][i])}1===l.length?l=l[0]:c="Multi"+c;var h={type:"Feature",geometry:{type:c,coordinates:l},properties:this.properties};return"id"in this&&(h.id=this.id),h};var As=Ms;function Ms(t,e){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=t,this._keys=[],this._values=[],this._features=[],t.readFields(Ss,this,e),this.length=this._features.length}function Ss(t,e,r){15===t?e.version=r.readVarint():1===t?e.name=r.readString():5===t?e.extent=r.readVarint():2===t?e._features.push(r.pos):3===t?e._keys.push(r.readString()):4===t&&e._values.push(function(t){var e=null,r=t.readVarint()+t.pos;for(;t.pos<r;){var n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}function Es(t,e,r){if(3===t){var n=new As(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Ms.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error("feature index out of bounds");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new _s(this._pbf,e,this.extent,this._keys,this._values)};var Ls={VectorTile:function(t,e){this.layers=t.readFields(Es,{},e)},VectorTileFeature:_s,VectorTileLayer:As},Cs=Ls.VectorTileFeature.types,Ps=Math.pow(2,13);function Is(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*Ps)+o,i*Ps*2,a*Ps*2,Math.round(s))}var Os=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new Ri,this.indexArray=new Yi,this.programConfigurations=new Ua(bs,t.layers,t.zoom),this.segments=new pa,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function zs(t,e){return t.x===e.x&&(t.x<0||t.x>8192)||t.y===e.y&&(t.y<0||t.y>8192)}function Ds(t){return t.every((function(t){return t.x<0}))||t.every((function(t){return t.x>8192}))||t.every((function(t){return t.y<0}))||t.every((function(t){return t.y>8192}))}Os.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=ds("fill-extrusion",this.layers,e);for(var n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.feature,s=a.id,l=a.index,c=a.sourceLayerIndex,u=this.layers[0]._featureFilter.needGeometry,f={type:o.type,id:s,properties:o.properties,geometry:u?Ya(o):[]};if(this.layers[0]._featureFilter.filter(new pi(this.zoom),f,r)){var h={id:s,sourceLayerIndex:c,index:l,geometry:u?f.geometry:Ya(o),properties:o.properties,type:o.type,patterns:{}};void 0!==o.id&&(h.id=o.id),this.hasPattern?this.features.push(ms("fill-extrusion",this.layers,h,this.zoom,e)):this.addFeature(h,h.geometry,l,r,{}),e.featureIndex.insert(o,h.geometry,l,c,this.index,!0)}}},Os.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.features;n<i.length;n+=1){var a=i[n],o=a.geometry;this.addFeature(a,o,a.index,e,r)}},Os.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},Os.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},Os.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Os.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,bs),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},Os.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Os.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=hs(e,500);a<o.length;a+=1){for(var s=o[a],l=0,c=0,u=s;c<u.length;c+=1){l+=u[c].length}for(var f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),h=0,p=s;h<p.length;h+=1){var d=p[h];if(0!==d.length&&!Ds(d))for(var m=0,g=0;g<d.length;g++){var v=d[g];if(g>=1){var y=d[g-1];if(!zs(v,y)){f.vertexLength+4>pa.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=v.sub(y)._perp()._unit(),b=y.dist(v);m+b>32768&&(m=0),Is(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,0,m),Is(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,1,m),m+=b,Is(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,m),Is(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,m);var _=f.vertexLength;this.indexArray.emplaceBack(_,_+2,_+1),this.indexArray.emplaceBack(_+1,_+2,_+3),f.vertexLength+=4,f.primitiveLength+=2}}}}if(f.vertexLength+l>pa.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),"Polygon"===Cs[t.type]){for(var w=[],T=[],k=f.vertexLength,A=0,M=s;A<M.length;A+=1){var S=M[A];if(0!==S.length){S!==s[0]&&T.push(w.length/2);for(var E=0;E<S.length;E++){var L=S[E];Is(this.layoutVertexArray,L.x,L.y,0,0,1,1,0),w.push(L.x),w.push(L.y)}}}for(var C=Do(w,T),P=0;P<C.length;P+=3)this.indexArray.emplaceBack(k+C[P],k+C[P+2],k+C[P+1]);f.primitiveLength+=C.length/3,f.vertexLength+=l}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},Nn("FillExtrusionBucket",Os,{omit:["layers","features"]});var Rs={paint:new Si({"fill-extrusion-opacity":new wi(Lt["paint_fill-extrusion"]["fill-extrusion-opacity"]),"fill-extrusion-color":new Ti(Lt["paint_fill-extrusion"]["fill-extrusion-color"]),"fill-extrusion-translate":new wi(Lt["paint_fill-extrusion"]["fill-extrusion-translate"]),"fill-extrusion-translate-anchor":new wi(Lt["paint_fill-extrusion"]["fill-extrusion-translate-anchor"]),"fill-extrusion-pattern":new ki(Lt["paint_fill-extrusion"]["fill-extrusion-pattern"]),"fill-extrusion-height":new Ti(Lt["paint_fill-extrusion"]["fill-extrusion-height"]),"fill-extrusion-base":new Ti(Lt["paint_fill-extrusion"]["fill-extrusion-base"]),"fill-extrusion-vertical-gradient":new wi(Lt["paint_fill-extrusion"]["fill-extrusion-vertical-gradient"])})},Fs=function(t){function e(e){t.call(this,e,Rs)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new Os(t)},e.prototype.queryRadius=function(){return so(this.paint.get("fill-extrusion-translate"))},e.prototype.is3D=function(){return!0},e.prototype.queryIntersectsFeature=function(t,e,r,n,a,o,s,l){var c=lo(t,this.paint.get("fill-extrusion-translate"),this.paint.get("fill-extrusion-translate-anchor"),o.angle,s),u=this.paint.get("fill-extrusion-height").evaluate(e,r),f=this.paint.get("fill-extrusion-base").evaluate(e,r),h=function(t,e,r,n){for(var a=[],o=0,s=t;o<s.length;o+=1){var l=s[o],c=[l.x,l.y,n,1];xo(c,c,e),a.push(new i(c[0]/c[3],c[1]/c[3]))}return a}(c,l,0,0),p=function(t,e,r,n){for(var a=[],o=[],s=n[8]*e,l=n[9]*e,c=n[10]*e,u=n[11]*e,f=n[8]*r,h=n[9]*r,p=n[10]*r,d=n[11]*r,m=0,g=t;m<g.length;m+=1){for(var v=g[m],y=[],x=[],b=0,_=v;b<_.length;b+=1){var w=_[b],T=w.x,k=w.y,A=n[0]*T+n[4]*k+n[12],M=n[1]*T+n[5]*k+n[13],S=n[2]*T+n[6]*k+n[14],E=n[3]*T+n[7]*k+n[15],L=S+c,C=E+u,P=A+f,I=M+h,O=S+p,z=E+d,D=new i((A+s)/C,(M+l)/C);D.z=L/C,y.push(D);var R=new i(P/z,I/z);R.z=O/z,x.push(R)}a.push(y),o.push(x)}return[a,o]}(n,f,u,l);return function(t,e,r){var n=1/0;Ka(r,e)&&(n=Ns(r,e[0]));for(var i=0;i<e.length;i++)for(var a=e[i],o=t[i],s=0;s<a.length-1;s++){var l=a[s],c=a[s+1],u=o[s],f=o[s+1],h=[l,c,f,u,l];Za(r,h)&&(n=Math.min(n,Ns(r,h)))}return n!==1/0&&n}(p[0],p[1],h)},e}(Ei);function Bs(t,e){return t.x*e.x+t.y*e.y}function Ns(t,e){if(1===t.length){for(var r,n=0,i=e[n++];!r||i.equals(r);)if(!(r=e[n++]))return 1/0;for(;n<e.length;n++){var a=e[n],o=t[0],s=r.sub(i),l=a.sub(i),c=o.sub(i),u=Bs(s,s),f=Bs(s,l),h=Bs(l,l),p=Bs(c,s),d=Bs(c,l),m=u*h-f*f,g=(h*p-f*d)/m,v=(u*d-f*p)/m,y=1-g-v,x=i.z*y+r.z*g+a.z*v;if(isFinite(x))return x}return 1/0}for(var b=1/0,_=0,w=e;_<w.length;_+=1){var T=w[_];b=Math.min(b,T.z)}return b}var js=Ii([{name:"a_pos_normal",components:2,type:"Int16"},{name:"a_data",components:4,type:"Uint8"}],4).members,Us=Ls.VectorTileFeature.types,Vs=Math.cos(Math.PI/180*37.5),Hs=Math.pow(2,14)/.5,qs=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.layoutVertexArray=new Fi,this.indexArray=new Yi,this.programConfigurations=new Ua(js,t.layers,t.zoom),this.segments=new pa,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};qs.prototype.populate=function(t,e,r){this.hasPattern=ds("line",this.layers,e);for(var n=this.layers[0].layout.get("line-sort-key"),i=[],a=0,o=t;a<o.length;a+=1){var s=o[a],l=s.feature,c=s.id,u=s.index,f=s.sourceLayerIndex,h=this.layers[0]._featureFilter.needGeometry,p={type:l.type,id:c,properties:l.properties,geometry:h?Ya(l):[]};if(this.layers[0]._featureFilter.filter(new pi(this.zoom),p,r)){h||(p.geometry=Ya(l));var d=n?n.evaluate(p,{},r):void 0,m={id:c,properties:l.properties,type:l.type,sourceLayerIndex:f,index:u,geometry:p.geometry,patterns:{},sortKey:d};i.push(m)}}n&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var g=0,v=i;g<v.length;g+=1){var y=v[g],x=y,b=x.geometry,_=x.index,w=x.sourceLayerIndex;if(this.hasPattern){var T=ms("line",this.layers,y,this.zoom,e);this.patternFeatures.push(T)}else this.addFeature(y,b,_,r,{});var k=t[_].feature;e.featureIndex.insert(k,b,_,w,this.index)}},qs.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},qs.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.patternFeatures;n<i.length;n+=1){var a=i[n];this.addFeature(a,a.geometry,a.index,e,r)}},qs.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},qs.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},qs.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,js),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},qs.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},qs.prototype.addFeature=function(t,e,r,n,i){for(var a=this.layers[0].layout,o=a.get("line-join").evaluate(t,{}),s=a.get("line-cap"),l=a.get("line-miter-limit"),c=a.get("line-round-limit"),u=0,f=e;u<f.length;u+=1){var h=f[u];this.addLine(h,t,o,s,l,c)}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},qs.prototype.addLine=function(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,e.properties&&e.properties.hasOwnProperty("mapbox_clip_start")&&e.properties.hasOwnProperty("mapbox_clip_end")){this.clipStart=+e.properties.mapbox_clip_start,this.clipEnd=+e.properties.mapbox_clip_end;for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance()}for(var s="Polygon"===Us[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var c=0;c<l-1&&t[c].equals(t[c+1]);)c++;if(!(l<(s?3:2))){"bevel"===r&&(i=1.05);var u,f=this.overscaling<=16?122880/(512*this.overscaling):0,h=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 0,d=void 0,m=void 0,g=void 0;this.e1=this.e2=-1,s&&(u=t[l-2],g=t[c].sub(u)._unit()._perp());for(var v=c;v<l;v++)if(!(d=v===l-1?s?t[c+1]:void 0:t[v+1])||!t[v].equals(d)){g&&(m=g),u&&(p=u),u=t[v],g=d?d.sub(u)._unit()._perp():m;var y=(m=m||g).add(g);0===y.x&&0===y.y||y._unit();var x=m.x*g.x+m.y*g.y,b=y.x*g.x+y.y*g.y,_=0!==b?1/b:1/0,w=2*Math.sqrt(2-2*b),T=b<Vs&&p&&d,k=m.x*g.y-m.y*g.x>0;if(T&&v>c){var A=u.dist(p);if(A>2*f){var M=u.sub(u.sub(p)._mult(f/A)._round());this.updateDistance(p,M),this.addCurrentVertex(M,m,0,0,h),p=M}}var S=p&&d,E=S?r:s?"butt":n;if(S&&"round"===E&&(_<a?E="miter":_<=2&&(E="fakeround")),"miter"===E&&_>i&&(E="bevel"),"bevel"===E&&(_>2&&(E="flipbevel"),_<i&&(E="miter")),p&&this.updateDistance(p,u),"miter"===E)y._mult(_),this.addCurrentVertex(u,y,0,0,h);else if("flipbevel"===E){if(_>100)y=g.mult(-1);else{var L=_*m.add(g).mag()/m.sub(g).mag();y._perp()._mult(L*(k?-1:1))}this.addCurrentVertex(u,y,0,0,h),this.addCurrentVertex(u,y.mult(-1),0,0,h)}else if("bevel"===E||"fakeround"===E){var C=-Math.sqrt(_*_-1),P=k?C:0,I=k?0:C;if(p&&this.addCurrentVertex(u,m,P,I,h),"fakeround"===E)for(var O=Math.round(180*w/Math.PI/20),z=1;z<O;z++){var D=z/O;if(.5!==D){var R=D-.5;D+=D*R*(D-1)*((1.0904+x*(x*(3.55645-1.43519*x)-3.2452))*R*R+(.848013+x*(.215638*x-1.06021)))}var F=g.sub(m)._mult(D)._add(m)._unit()._mult(k?-1:1);this.addHalfVertex(u,F.x,F.y,!1,k,0,h)}d&&this.addCurrentVertex(u,g,-P,-I,h)}else if("butt"===E)this.addCurrentVertex(u,y,0,0,h);else if("square"===E){var B=p?1:-1;this.addCurrentVertex(u,y,B,B,h)}else"round"===E&&(p&&(this.addCurrentVertex(u,m,0,0,h),this.addCurrentVertex(u,m,1,1,h,!0)),d&&(this.addCurrentVertex(u,g,-1,-1,h,!0),this.addCurrentVertex(u,g,0,0,h)));if(T&&v<l-1){var N=u.dist(d);if(N>2*f){var j=u.add(d.sub(u)._mult(f/N)._round());this.updateDistance(u,j),this.addCurrentVertex(j,g,0,0,h),u=j}}}}},qs.prototype.addCurrentVertex=function(t,e,r,n,i,a){void 0===a&&(a=!1);var o=e.x+e.y*r,s=e.y-e.x*r,l=-e.x+e.y*n,c=-e.y-e.x*n;this.addHalfVertex(t,o,s,a,!1,r,i),this.addHalfVertex(t,l,c,a,!0,-n,i),this.distance>Hs/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,i,a))},qs.prototype.addHalfVertex=function(t,e,r,n,i,a,o){var s=t.x,l=t.y,c=.5*this.scaledDistance;this.layoutVertexArray.emplaceBack((s<<1)+(n?1:0),(l<<1)+(i?1:0),Math.round(63*e)+128,Math.round(63*r)+128,1+(0===a?0:a<0?-1:1)|(63&c)<<2,c>>6);var u=o.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,u),o.primitiveLength++),i?this.e2=u:this.e1=u},qs.prototype.updateScaledDistance=function(){this.scaledDistance=this.totalDistance>0?(this.clipStart+(this.clipEnd-this.clipStart)*this.distance/this.totalDistance)*(Hs-1):this.distance},qs.prototype.updateDistance=function(t,e){this.distance+=t.dist(e),this.updateScaledDistance()},Nn("LineBucket",qs,{omit:["layers","patternFeatures"]});var Gs=new Si({"line-cap":new wi(Lt.layout_line["line-cap"]),"line-join":new Ti(Lt.layout_line["line-join"]),"line-miter-limit":new wi(Lt.layout_line["line-miter-limit"]),"line-round-limit":new wi(Lt.layout_line["line-round-limit"]),"line-sort-key":new Ti(Lt.layout_line["line-sort-key"])}),Ys={paint:new Si({"line-opacity":new Ti(Lt.paint_line["line-opacity"]),"line-color":new Ti(Lt.paint_line["line-color"]),"line-translate":new wi(Lt.paint_line["line-translate"]),"line-translate-anchor":new wi(Lt.paint_line["line-translate-anchor"]),"line-width":new Ti(Lt.paint_line["line-width"]),"line-gap-width":new Ti(Lt.paint_line["line-gap-width"]),"line-offset":new Ti(Lt.paint_line["line-offset"]),"line-blur":new Ti(Lt.paint_line["line-blur"]),"line-dasharray":new Ai(Lt.paint_line["line-dasharray"]),"line-pattern":new ki(Lt.paint_line["line-pattern"]),"line-gradient":new Mi(Lt.paint_line["line-gradient"])}),layout:Gs},Ws=new(function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(e,r){return r=new pi(Math.floor(r.zoom),{now:r.now,fadeDuration:r.fadeDuration,zoomHistory:r.zoomHistory,transition:r.transition}),t.prototype.possiblyEvaluate.call(this,e,r)},e.prototype.evaluate=function(e,r,n,i){return r=u({},r,{zoom:Math.floor(r.zoom)}),t.prototype.evaluate.call(this,e,r,n,i)},e}(Ti))(Ys.paint.properties["line-width"].specification);Ws.useIntegerZoom=!0;var Xs=function(t){function e(e){t.call(this,e,Ys)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._handleSpecialPaintPropertyUpdate=function(t){"line-gradient"===t&&this._updateGradient()},e.prototype._updateGradient=function(){var 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Eo({width:o||1,height:s||1});for(var c in t){var u=t[c],f=r[c].paddedRect;Eo.copy(u.data,l,{x:0,y:0},{x:f.x+1,y:f.y+1},u.data)}for(var h in e){var p=e[h],d=n[h].paddedRect,m=d.x+1,g=d.y+1,v=p.data.width,y=p.data.height;Eo.copy(p.data,l,{x:0,y:0},{x:m,y:g},p.data),Eo.copy(p.data,l,{x:0,y:y-1},{x:m,y:g-1},{width:v,height:1}),Eo.copy(p.data,l,{x:0,y:0},{x:m,y:g+y},{width:v,height:1}),Eo.copy(p.data,l,{x:v-1,y:0},{x:m-1,y:g},{width:1,height:y}),Eo.copy(p.data,l,{x:0,y:0},{x:m+v,y:g},{width:1,height:y})}this.image=l,this.iconPositions=r,this.patternPositions=n};Ll.prototype.addImages=function(t,e,r){for(var n in t){var i=t[n],a={x:0,y:0,w:i.data.width+2,h:i.data.height+2};r.push(a),e[n]=new Sl(a,i),i.hasRenderCallback&&this.haveRenderCallbacks.push(n)}},Ll.prototype.patchUpdatedImages=function(t,e){for(var r in 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e=0,r=t;e<r.length;e+=1){if(0!==r[e].positionedGlyphs.length)return!1}return!0}(L)&&C}Il.fromFeature=function(t,e){for(var r=new Il,n=0;n<t.sections.length;n++){var i=t.sections[n];i.image?r.addImageSection(i):r.addTextSection(i,e)}return r},Il.prototype.length=function(){return this.text.length},Il.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},Il.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},Il.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},Il.prototype.verticalizePunctuation=function(){this.text=function(t){for(var e="",r=0;r<t.length;r++){var n=t.charCodeAt(r+1)||null,i=t.charCodeAt(r-1)||null;(!n||!Jn(n)||rl[t[r+1]])&&(!i||!Jn(i)||rl[t[r-1]])&&rl[t[r]]?e+=rl[t[r]]:e+=t[r]}return e}(this.text)},Il.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&zl[this.text.charCodeAt(e)];e++)t++;for(var r=this.text.length,n=this.text.length-1;n>=0&&n>=t&&zl[this.text.charCodeAt(n)];n--)r--;this.text=this.text.substring(t,r),this.sectionIndex=this.sectionIndex.slice(t,r)},Il.prototype.substring=function(t,e){var r=new Il;return r.text=this.text.substring(t,e),r.sectionIndex=this.sectionIndex.slice(t,e),r.sections=this.sections,r},Il.prototype.toString=function(){return this.text},Il.prototype.getMaxScale=function(){var t=this;return this.sectionIndex.reduce((function(e,r){return Math.max(e,t.sections[r].scale)}),0)},Il.prototype.addTextSection=function(t,e){this.text+=t.text,this.sections.push(Pl.forText(t.scale,t.fontStack||e));for(var r=this.sections.length-1,n=0;n<t.text.length;++n)this.sectionIndex.push(r)},Il.prototype.addImageSection=function(t){var e=t.image?t.image.name:"";if(0!==e.length){var r=this.getNextImageSectionCharCode();r?(this.text+=String.fromCharCode(r),this.sections.push(Pl.forImage(e)),this.sectionIndex.push(this.sections.length-1)):_("Reached maximum number of 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l=t.getSection(s);o+=Rl(t.getCharCode(s),l,n,i,e,a)}return o/Math.max(1,Math.ceil(o/r))}(t,e,r,n,i,o),u=t.text.indexOf("\u200b")>=0,f=0,h=0;h<t.length();h++){var p=t.getSection(h),d=t.getCharCode(h);if(zl[d]||(f+=Rl(d,p,n,i,e,o)),h<t.length()-1){var m=!!(!((s=d)<11904)&&(Yn["Bopomofo Extended"](s)||Yn.Bopomofo(s)||Yn["CJK Compatibility Forms"](s)||Yn["CJK Compatibility Ideographs"](s)||Yn["CJK Compatibility"](s)||Yn["CJK Radicals Supplement"](s)||Yn["CJK Strokes"](s)||Yn["CJK Symbols and Punctuation"](s)||Yn["CJK Unified Ideographs Extension A"](s)||Yn["CJK Unified Ideographs"](s)||Yn["Enclosed CJK Letters and Months"](s)||Yn["Halfwidth and Fullwidth Forms"](s)||Yn.Hiragana(s)||Yn["Ideographic Description Characters"](s)||Yn["Kangxi Radicals"](s)||Yn["Katakana Phonetic Extensions"](s)||Yn.Katakana(s)||Yn["Vertical Forms"](s)||Yn["Yi Radicals"](s)||Yn["Yi Syllables"](s)));(Dl[d]||m||p.imageName)&&l.push(Nl(h+1,f,c,l,Bl(d,t.getCharCode(h+1),m&&u),!1))}}return function t(e){return e?t(e.priorBreak).concat(e.index):[]}(Nl(t.length(),f,c,l,0,!0))}function Ul(t){var e=.5,r=.5;switch(t){case"right":case"top-right":case"bottom-right":e=1;break;case"left":case"top-left":case"bottom-left":e=0}switch(t){case"bottom":case"bottom-right":case"bottom-left":r=1;break;case"top":case"top-right":case"top-left":r=0}return{horizontalAlign:e,verticalAlign:r}}function Vl(t,e,r,n,i){if(n||i)for(var a=t[r],o=a.metrics.advance*a.scale,s=(t[r].x+o)*n,l=e;l<=r;l++)t[l].x-=s,t[l].y+=i}function Hl(t,e,r,n,i,a){var o,s=t.image;if(s.content){var l=s.content,c=s.pixelRatio||1;o=[l[0]/c,l[1]/c,s.displaySize[0]-l[2]/c,s.displaySize[1]-l[3]/c]}var u,f,h,p,d=e.left*a,m=e.right*a;"width"===r||"both"===r?(p=i[0]+d-n[3],f=i[0]+m+n[1]):f=(p=i[0]+(d+m-s.displaySize[0])/2)+s.displaySize[0];var 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F=Math.sin(R),B=Math.cos(R),N=[B,-F,F,B];C._matMult(N),P._matMult(N),O._matMult(N),I._matMult(N)}var j=n.stretch+n.fixed,U=l.stretch+l.fixed,V=a.stretch+a.fixed,H=c.stretch+c.fixed;return{tl:C,tr:P,bl:O,br:I,tex:{x:o.paddedRect.x+1+j,y:o.paddedRect.y+1+V,w:U-j,h:H-V},writingMode:void 0,glyphOffset:[0,0],sectionIndex:0,pixelOffsetTL:z,pixelOffsetBR:D,minFontScaleX:k/s/u,minFontScaleY:M/s/f,isSDF:r}};if(n&&(o.stretchX||o.stretchY))for(var L=ic(h,v,m),C=ic(p,y,g),P=0;P<L.length-1;P++)for(var I=L[P],O=L[P+1],z=0;z<C.length-1;z++){var D=C[z],R=C[z+1];a.push(E(I,D,O,R))}else a.push(E({fixed:0,stretch:-1},{fixed:0,stretch:-1},{fixed:0,stretch:l+1},{fixed:0,stretch:c+1}));return a}function nc(t,e,r){for(var n=0,i=0,a=t;i<a.length;i+=1){var o=a[i];n+=Math.max(e,Math.min(r,o[1]))-Math.max(e,Math.min(r,o[0]))}return n}function ic(t,e,r){for(var n=[{fixed:-1,stretch:0}],i=0,a=t;i<a.length;i+=1){var 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0===e&&(e=cc),this.data=t,this.length=this.data.length,this.compare=e,this.length>0)for(var r=(this.length>>1)-1;r>=0;r--)this._down(r)};function cc(t,e){return t<e?-1:t>e?1:0}function uc(t,e,r){void 0===e&&(e=1),void 0===r&&(r=!1);for(var n=1/0,a=1/0,o=-1/0,s=-1/0,l=t[0],c=0;c<l.length;c++){var u=l[c];(!c||u.x<n)&&(n=u.x),(!c||u.y<a)&&(a=u.y),(!c||u.x>o)&&(o=u.x),(!c||u.y>s)&&(s=u.y)}var f=o-n,h=s-a,p=Math.min(f,h),d=p/2,m=new lc([],fc);if(0===p)return new i(n,a);for(var g=n;g<o;g+=p)for(var v=a;v<s;v+=p)m.push(new hc(g+d,v+d,d,t));for(var y=function(t){for(var e=0,r=0,n=0,i=t[0],a=0,o=i.length,s=o-1;a<o;s=a++){var l=i[a],c=i[s],u=l.x*c.y-c.x*l.y;r+=(l.x+c.x)*u,n+=(l.y+c.y)*u,e+=3*u}return new hc(r/e,n/e,0,t)}(t),x=m.length;m.length;){var b=m.pop();(b.d>y.d||!y.d)&&(y=b,r&&console.log("found best %d after %d probes",Math.round(1e4*b.d)/1e4,x)),b.max-y.d<=e||(d=b.h/2,m.push(new hc(b.p.x-d,b.p.y-d,d,t)),m.push(new hc(b.p.x+d,b.p.y-d,d,t)),m.push(new hc(b.p.x-d,b.p.y+d,d,t)),m.push(new 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mc(t){switch(t){case"right":case"top-right":case"bottom-right":return"right";case"left":case"top-left":case"bottom-left":return"left"}return"center"}function gc(t,e,r,n,a,o,s,l,c,u,f,h,p,d,m){var g=function(t,e,r,n,a,o,s,l){for(var c=n.layout.get("text-rotate").evaluate(o,{})*Math.PI/180,u=[],f=0,h=e.positionedLines;f<h.length;f+=1)for(var p=h[f],d=0,m=p.positionedGlyphs;d<m.length;d+=1){var g=m[d];if(g.rect){var v=g.rect||{},y=4,x=!0,b=1,_=0,w=(a||l)&&g.vertical,T=g.metrics.advance*g.scale/2;if(l&&e.verticalizable){var k=24*(g.scale-1),A=(24-g.metrics.width*g.scale)/2;_=p.lineOffset/2-(g.imageName?-A:k)}if(g.imageName){var M=s[g.imageName];x=M.sdf,y=1/(b=M.pixelRatio)}var S=a?[g.x+T,g.y]:[0,0],E=a?[0,0]:[g.x+T+r[0],g.y+r[1]-_],L=[0,0];w&&(L=E,E=[0,0]);var C=(g.metrics.left-y)*g.scale-T+E[0],P=(-g.metrics.top-y)*g.scale+E[1],I=C+v.w*g.scale/b,O=P+v.h*g.scale/b,z=new i(C,P),D=new i(I,P),R=new i(C,O),F=new i(I,O);if(w){var B=new i(-T,T- -17),N=-Math.PI/2,j=12-T,U=g.imageName?j:0,V=new i(22-j,-U),H=new(Function.prototype.bind.apply(i,[null].concat(L)));z._rotateAround(N,B)._add(V)._add(H),D._rotateAround(N,B)._add(V)._add(H),R._rotateAround(N,B)._add(V)._add(H),F._rotateAround(N,B)._add(V)._add(H)}if(c){var q=Math.sin(c),G=Math.cos(c),Y=[G,-q,q,G];z._matMult(Y),D._matMult(Y),R._matMult(Y),F._matMult(Y)}var W=new i(0,0),X=new i(0,0);u.push({tl:z,tr:D,bl:R,br:F,tex:v,writingMode:e.writingMode,glyphOffset:S,sectionIndex:g.sectionIndex,isSDF:x,pixelOffsetTL:W,pixelOffsetBR:X,minFontScaleX:0,minFontScaleY:0})}}return u}(0,r,l,a,o,s,n,t.allowVerticalPlacement),v=t.textSizeData,y=null;"source"===v.kind?(y=[128*a.layout.get("text-size").evaluate(s,{})])[0]>32640&&_(t.layerIds[0]+': Value for "text-size" is >= 255. 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Reduce your "text-size".'),t.addSymbols(t.text,g,y,l,o,s,u,e,c.lineStartIndex,c.lineLength,p,m);for(var x=0,b=f;x<b.length;x+=1){h[b[x]]=t.text.placedSymbolArray.length-1}return 4*g.length}function vc(t){for(var e in t)return t[e];return null}function yc(t,e,r,n){var i=t.compareText;if(e in i){for(var a=i[e],o=a.length-1;o>=0;o--)if(n.dist(a[o])<r)return!0}else i[e]=[];return i[e].push(n),!1}var xc=Ls.VectorTileFeature.types,bc=[{name:"a_fade_opacity",components:1,type:"Uint8",offset:0}];function _c(t,e,r,n,i,a,o,s,l,c,u,f,h){var p=s?Math.min(32640,Math.round(s[0])):0,d=s?Math.min(32640,Math.round(s[1])):0;t.emplaceBack(e,r,Math.round(32*n),Math.round(32*i),a,o,(p<<1)+(l?1:0),d,16*c,16*u,256*f,256*h)}function wc(t,e,r){t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r)}function Tc(t){for(var e=0,r=t.sections;e<r.length;e+=1){if($n(r[e].text))return!0}return!1}var kc=function(t){this.layoutVertexArray=new Ni,this.indexArray=new Yi,this.programConfigurations=t,this.segments=new pa,this.dynamicLayoutVertexArray=new ji,this.opacityVertexArray=new Ui,this.placedSymbolArray=new aa};kc.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length&&0===this.indexArray.length&&0===this.dynamicLayoutVertexArray.length&&0===this.opacityVertexArray.length},kc.prototype.upload=function(t,e,r,n){this.isEmpty()||(r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Js.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,Ks.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,bc,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t))},kc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},Nn("SymbolBuffers",kc);var Ac=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new pa,this.collisionVertexArray=new Gi};Ac.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,Qs.members,!0)},Ac.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},Nn("CollisionBuffers",Ac);var Mc=function(t){this.collisionBoxArray=t.collisionBoxArray,this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.pixelRatio=t.pixelRatio,this.sourceLayerIndex=t.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=ho([]),this.placementViewportMatrix=ho([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=Gl(this.zoom,e["text-size"]),this.iconSizeData=Gl(this.zoom,e["icon-size"]);var r=this.layers[0].layout,n=r.get("symbol-sort-key"),i=r.get("symbol-z-order");this.sortFeaturesByKey="viewport-y"!==i&&void 0!==n.constantOr(1);var a="viewport-y"===i||"auto"===i&&!this.sortFeaturesByKey;this.sortFeaturesByY=a&&(r.get("text-allow-overlap")||r.get("icon-allow-overlap")||r.get("text-ignore-placement")||r.get("icon-ignore-placement")),"point"===r.get("symbol-placement")&&(this.writingModes=r.get("text-writing-mode").map((function(t){return Cl[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};Mc.prototype.createArrays=function(){this.text=new kc(new Ua(Js.members,this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new kc(new Ua(Js.members,this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new la,this.lineVertexArray=new ca,this.symbolInstances=new sa},Mc.prototype.calculateGlyphDependencies=function(t,e,r,n,i){for(var a=0;a<t.length;a++)if(e[t.charCodeAt(a)]=!0,(r||n)&&i){var o=rl[t.charAt(a)];o&&(e[o.charCodeAt(0)]=!0)}},Mc.prototype.populate=function(t,e,r){var n=this.layers[0],i=n.layout,a=i.get("text-font"),o=i.get("text-field"),s=i.get("icon-image"),l=("constant"!==o.value.kind||o.value.value instanceof ne&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&("constant"!==a.value.kind||a.value.value.length>0),c="constant"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,u=i.get("symbol-sort-key");if(this.features=[],l||c){for(var f=e.iconDependencies,h=e.glyphDependencies,p=e.availableImages,d=new pi(this.zoom),m=0,g=t;m<g.length;m+=1){var v=g[m],y=v.feature,x=v.id,b=v.index,_=v.sourceLayerIndex,w=n._featureFilter.needGeometry,T={type:y.type,id:x,properties:y.properties,geometry:w?Ya(y):[]};if(n._featureFilter.filter(d,T,r)){w||(T.geometry=Ya(y));var k=void 0;if(l){var A=n.getValueAndResolveTokens("text-field",T,r,p),M=ne.factory(A);Tc(M)&&(this.hasRTLText=!0),(!this.hasRTLText||"unavailable"===ui()||this.hasRTLText&&hi.isParsed())&&(k=el(M,n,T))}var S=void 0;if(c){var E=n.getValueAndResolveTokens("icon-image",T,r,p);S=E instanceof ie?E:ie.fromString(E)}if(k||S){var L=this.sortFeaturesByKey?u.evaluate(T,{},r):void 0,C={id:x,text:k,icon:S,index:b,sourceLayerIndex:_,geometry:Ya(y),properties:y.properties,type:xc[y.type],sortKey:L};if(this.features.push(C),S&&(f[S.name]=!0),k){var P=a.evaluate(T,{},r).join(","),I="map"===i.get("text-rotation-alignment")&&"point"!==i.get("symbol-placement");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(Cl.vertical)>=0;for(var O=0,z=k.sections;O<z.length;O+=1){var D=z[O];if(D.image)f[D.image.name]=!0;else{var R=Wn(k.toString()),F=D.fontStack||P,B=h[F]=h[F]||{};this.calculateGlyphDependencies(D.text,B,I,this.allowVerticalPlacement,R)}}}}}}"line"===i.get("symbol-placement")&&(this.features=function(t){var e={},r={},n=[],i=0;function a(e){n.push(t[e]),i++}function o(t,e,i){var a=r[t];return delete r[t],r[e]=a,n[a].geometry[0].pop(),n[a].geometry[0]=n[a].geometry[0].concat(i[0]),a}function s(t,r,i){var a=e[r];return delete e[r],e[t]=a,n[a].geometry[0].shift(),n[a].geometry[0]=i[0].concat(n[a].geometry[0]),a}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+":"+n.x+":"+n.y}for(var c=0;c<t.length;c++){var u=t[c],f=u.geometry,h=u.text?u.text.toString():null;if(h){var p=l(h,f),d=l(h,f,!0);if(p in r&&d in e&&r[p]!==e[d]){var m=s(p,d,f),g=o(p,d,n[m].geometry);delete e[p],delete r[d],r[l(h,n[g].geometry,!0)]=g,n[m].geometry=null}else p in r?o(p,d,f):d in e?s(p,d,f):(a(c),e[p]=i-1,r[d]=i-1)}else a(c)}return n.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}))}},Mc.prototype.update=function(t,e,r){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(t,e,this.layers,r),this.icon.programConfigurations.updatePaintArrays(t,e,this.layers,r))},Mc.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},Mc.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},Mc.prototype.upload=function(t){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(t),this.iconCollisionBox.upload(t)),this.text.upload(t,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(t,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},Mc.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},Mc.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},Mc.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),i=t.dist(e[t.segment]),a={},o=t.segment+1;o<e.length;o++)a[o]={x:e[o].x,y:e[o].y,tileUnitDistanceFromAnchor:n},o<e.length-1&&(n+=e[o+1].dist(e[o]));for(var s=t.segment||0;s>=0;s--)a[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:i},s>0&&(i+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var c=a[l];this.lineVertexArray.emplaceBack(c.x,c.y,c.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},Mc.prototype.addSymbols=function(t,e,r,n,i,a,o,s,l,c,u,f){for(var h=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,h,a.sortKey),m=this.glyphOffsetArray.length,g=d.vertexLength,v=this.allowVerticalPlacement&&o===Cl.vertical?Math.PI/2:0,y=a.text&&a.text.sections,x=0;x<e.length;x++){var b=e[x],_=b.tl,w=b.tr,T=b.bl,k=b.br,A=b.tex,M=b.pixelOffsetTL,S=b.pixelOffsetBR,E=b.minFontScaleX,L=b.minFontScaleY,C=b.glyphOffset,P=b.isSDF,I=b.sectionIndex,O=d.vertexLength,z=C[1];_c(p,s.x,s.y,_.x,z+_.y,A.x,A.y,r,P,M.x,M.y,E,L),_c(p,s.x,s.y,w.x,z+w.y,A.x+A.w,A.y,r,P,S.x,M.y,E,L),_c(p,s.x,s.y,T.x,z+T.y,A.x,A.y+A.h,r,P,M.x,S.y,E,L),_c(p,s.x,s.y,k.x,z+k.y,A.x+A.w,A.y+A.h,r,P,S.x,S.y,E,L),wc(t.dynamicLayoutVertexArray,s,v),h.emplaceBack(O,O+1,O+2),h.emplaceBack(O+1,O+2,O+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(C[0]),x!==e.length-1&&I===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,a,a.index,{},f,y&&y[I])}t.placedSymbolArray.emplaceBack(s.x,s.y,m,this.glyphOffsetArray.length-m,g,l,c,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,u)},Mc.prototype._addCollisionDebugVertex=function(t,e,r,n,i,a){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,i,Math.round(a.x),Math.round(a.y))},Mc.prototype.addCollisionDebugVertices=function(t,e,r,n,a,o,s){var l=a.segments.prepareSegment(4,a.layoutVertexArray,a.indexArray),c=l.vertexLength,u=a.layoutVertexArray,f=a.collisionVertexArray,h=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(u,f,o,h,p,new i(t,e)),this._addCollisionDebugVertex(u,f,o,h,p,new i(r,e)),this._addCollisionDebugVertex(u,f,o,h,p,new i(r,n)),this._addCollisionDebugVertex(u,f,o,h,p,new i(t,n)),l.vertexLength+=4;var d=a.indexArray;d.emplaceBack(c,c+1),d.emplaceBack(c+1,c+2),d.emplaceBack(c+2,c+3),d.emplaceBack(c+3,c),l.primitiveLength+=4},Mc.prototype.addDebugCollisionBoxes=function(t,e,r,n){for(var i=t;i<e;i++){var a=this.collisionBoxArray.get(i),o=a.x1,s=a.y1,l=a.x2,c=a.y2;this.addCollisionDebugVertices(o,s,l,c,n?this.textCollisionBox:this.iconCollisionBox,a.anchorPoint,r)}},Mc.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new Ac(Hi,$s.members,Qi),this.iconCollisionBox=new Ac(Hi,$s.members,Qi);for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e,!1),this.addDebugCollisionBoxes(e.verticalIconBoxStartIndex,e.verticalIconBoxEndIndex,e,!1)}},Mc.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,i,a,o,s,l){for(var c={},u=e;u<r;u++){var f=t.get(u);c.textBox={x1:f.x1,y1:f.y1,x2:f.x2,y2:f.y2,anchorPointX:f.anchorPointX,anchorPointY:f.anchorPointY},c.textFeatureIndex=f.featureIndex;break}for(var h=n;h<i;h++){var p=t.get(h);c.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},c.verticalTextFeatureIndex=p.featureIndex;break}for(var d=a;d<o;d++){var m=t.get(d);c.iconBox={x1:m.x1,y1:m.y1,x2:m.x2,y2:m.y2,anchorPointX:m.anchorPointX,anchorPointY:m.anchorPointY},c.iconFeatureIndex=m.featureIndex;break}for(var g=s;g<l;g++){var v=t.get(g);c.verticalIconBox={x1:v.x1,y1:v.y1,x2:v.x2,y2:v.y2,anchorPointX:v.anchorPointX,anchorPointY:v.anchorPointY},c.verticalIconFeatureIndex=v.featureIndex;break}return c},Mc.prototype.deserializeCollisionBoxes=function(t){this.collisionArrays=[];for(var e=0;e<this.symbolInstances.length;e++){var r=this.symbolInstances.get(e);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(t,r.textBoxStartIndex,r.textBoxEndIndex,r.verticalTextBoxStartIndex,r.verticalTextBoxEndIndex,r.iconBoxStartIndex,r.iconBoxEndIndex,r.verticalIconBoxStartIndex,r.verticalIconBoxEndIndex))}},Mc.prototype.hasTextData=function(){return this.text.segments.get().length>0},Mc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},Mc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},Mc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},Mc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},Mc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i<n;i+=4)t.indexArray.emplaceBack(i,i+1,i+2),t.indexArray.emplaceBack(i+1,i+2,i+3)},Mc.prototype.getSortedSymbolIndexes=function(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;for(var e=Math.sin(t),r=Math.cos(t),n=[],i=[],a=[],o=0;o<this.symbolInstances.length;++o){a.push(o);var s=this.symbolInstances.get(o);n.push(0|Math.round(e*s.anchorX+r*s.anchorY)),i.push(s.featureIndex)}return a.sort((function(t,e){return n[t]-n[e]||i[e]-i[t]})),a},Mc.prototype.addToSortKeyRanges=function(t,e){var r=this.sortKeyRanges[this.sortKeyRanges.length-1];r&&r.sortKey===e?r.symbolInstanceEnd=t+1:this.sortKeyRanges.push({sortKey:e,symbolInstanceStart:t,symbolInstanceEnd:t+1})},Mc.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r<n.length;r+=1){var i=n[r],a=this.symbolInstances.get(i);this.featureSortOrder.push(a.featureIndex),[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},Nn("SymbolBucket",Mc,{omit:["layers","collisionBoxArray","features","compareText"]}),Mc.MAX_GLYPHS=65535,Mc.addDynamicAttributes=wc;var Sc=new Si({"symbol-placement":new wi(Lt.layout_symbol["symbol-placement"]),"symbol-spacing":new wi(Lt.layout_symbol["symbol-spacing"]),"symbol-avoid-edges":new wi(Lt.layout_symbol["symbol-avoid-edges"]),"symbol-sort-key":new Ti(Lt.layout_symbol["symbol-sort-key"]),"symbol-z-order":new wi(Lt.layout_symbol["symbol-z-order"]),"icon-allow-overlap":new wi(Lt.layout_symbol["icon-allow-overlap"]),"icon-ignore-placement":new wi(Lt.layout_symbol["icon-ignore-placement"]),"icon-optional":new wi(Lt.layout_symbol["icon-optional"]),"icon-rotation-alignment":new wi(Lt.layout_symbol["icon-rotation-alignment"]),"icon-size":new Ti(Lt.layout_symbol["icon-size"]),"icon-text-fit":new wi(Lt.layout_symbol["icon-text-fit"]),"icon-text-fit-padding":new wi(Lt.layout_symbol["icon-text-fit-padding"]),"icon-image":new Ti(Lt.layout_symbol["icon-image"]),"icon-rotate":new Ti(Lt.layout_symbol["icon-rotate"]),"icon-padding":new wi(Lt.layout_symbol["icon-padding"]),"icon-keep-upright":new wi(Lt.layout_symbol["icon-keep-upright"]),"icon-offset":new Ti(Lt.layout_symbol["icon-offset"]),"icon-anchor":new Ti(Lt.layout_symbol["icon-anchor"]),"icon-pitch-alignment":new wi(Lt.layout_symbol["icon-pitch-alignment"]),"text-pitch-alignment":new wi(Lt.layout_symbol["text-pitch-alignment"]),"text-rotation-alignment":new wi(Lt.layout_symbol["text-rotation-alignment"]),"text-field":new Ti(Lt.layout_symbol["text-field"]),"text-font":new Ti(Lt.layout_symbol["text-font"]),"text-size":new Ti(Lt.layout_symbol["text-size"]),"text-max-width":new Ti(Lt.layout_symbol["text-max-width"]),"text-line-height":new wi(Lt.layout_symbol["text-line-height"]),"text-letter-spacing":new Ti(Lt.layout_symbol["text-letter-spacing"]),"text-justify":new Ti(Lt.layout_symbol["text-justify"]),"text-radial-offset":new Ti(Lt.layout_symbol["text-radial-offset"]),"text-variable-anchor":new wi(Lt.layout_symbol["text-variable-anchor"]),"text-anchor":new Ti(Lt.layout_symbol["text-anchor"]),"text-max-angle":new wi(Lt.layout_symbol["text-max-angle"]),"text-writing-mode":new wi(Lt.layout_symbol["text-writing-mode"]),"text-rotate":new Ti(Lt.layout_symbol["text-rotate"]),"text-padding":new wi(Lt.layout_symbol["text-padding"]),"text-keep-upright":new wi(Lt.layout_symbol["text-keep-upright"]),"text-transform":new Ti(Lt.layout_symbol["text-transform"]),"text-offset":new Ti(Lt.layout_symbol["text-offset"]),"text-allow-overlap":new wi(Lt.layout_symbol["text-allow-overlap"]),"text-ignore-placement":new wi(Lt.layout_symbol["text-ignore-placement"]),"text-optional":new wi(Lt.layout_symbol["text-optional"])}),Ec={paint:new Si({"icon-opacity":new Ti(Lt.paint_symbol["icon-opacity"]),"icon-color":new Ti(Lt.paint_symbol["icon-color"]),"icon-halo-color":new Ti(Lt.paint_symbol["icon-halo-color"]),"icon-halo-width":new Ti(Lt.paint_symbol["icon-halo-width"]),"icon-halo-blur":new Ti(Lt.paint_symbol["icon-halo-blur"]),"icon-translate":new wi(Lt.paint_symbol["icon-translate"]),"icon-translate-anchor":new wi(Lt.paint_symbol["icon-translate-anchor"]),"text-opacity":new Ti(Lt.paint_symbol["text-opacity"]),"text-color":new Ti(Lt.paint_symbol["text-color"],{runtimeType:Ut,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),"text-halo-color":new Ti(Lt.paint_symbol["text-halo-color"]),"text-halo-width":new Ti(Lt.paint_symbol["text-halo-width"]),"text-halo-blur":new Ti(Lt.paint_symbol["text-halo-blur"]),"text-translate":new wi(Lt.paint_symbol["text-translate"]),"text-translate-anchor":new wi(Lt.paint_symbol["text-translate-anchor"])}),layout:Sc},Lc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Ft,this.defaultValue=t};Lc.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},Lc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},Lc.prototype.outputDefined=function(){return!1},Lc.prototype.serialize=function(){return null},Nn("FormatSectionOverride",Lc,{omit:["defaultValue"]});var Cc=function(t){function e(e){t.call(this,e,Ec)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),"auto"===this.layout.get("icon-rotation-alignment")&&("point"!==this.layout.get("symbol-placement")?this.layout._values["icon-rotation-alignment"]="map":this.layout._values["icon-rotation-alignment"]="viewport"),"auto"===this.layout.get("text-rotation-alignment")&&("point"!==this.layout.get("symbol-placement")?this.layout._values["text-rotation-alignment"]="map":this.layout._values["text-rotation-alignment"]="viewport"),"auto"===this.layout.get("text-pitch-alignment")&&(this.layout._values["text-pitch-alignment"]=this.layout.get("text-rotation-alignment")),"auto"===this.layout.get("icon-pitch-alignment")&&(this.layout._values["icon-pitch-alignment"]=this.layout.get("icon-rotation-alignment")),"point"===this.layout.get("symbol-placement")){var n=this.layout.get("text-writing-mode");if(n){for(var i=[],a=0,o=n;a<o.length;a+=1){var s=o[a];i.indexOf(s)<0&&i.push(s)}this.layout._values["text-writing-mode"]=i}else this.layout._values["text-writing-mode"]=["horizontal"]}this._setPaintOverrides()},e.prototype.getValueAndResolveTokens=function(t,e,r,n){var i=this.layout.get(t).evaluate(e,{},r,n),a=this._unevaluatedLayout._values[t];return a.isDataDriven()||Yr(a.value)||!i?i:function(t,e){return e.replace(/{([^{}]+)}/g,(function(e,r){return r in t?String(t[r]):""}))}(e.properties,i)},e.prototype.createBucket=function(t){return new Mc(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=Ec.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var i=this.paint.get(n),a=new Lc(i),o=new Gr(a,i.property.specification),s=null;s="constant"===i.value.kind||"source"===i.value.kind?new Xr("source",o):new Zr("composite",o,i.value.zoomStops,i.value._interpolationType),this.paint._values[n]=new bi(i.property,s,i.parameters)}}},e.prototype._handleOverridablePaintPropertyUpdate=function(t,r,n){return!(!this.layout||r.isDataDriven()||n.isDataDriven())&&e.hasPaintOverride(this.layout,t)},e.hasPaintOverride=function(t,e){var r=t.get("text-field"),n=Ec.paint.properties[e],i=!1,a=function(t){for(var e=0,r=t;e<r.length;e+=1){var a=r[e];if(n.overrides&&n.overrides.hasOverride(a))return void(i=!0)}};if("constant"===r.value.kind&&r.value.value instanceof ne)a(r.value.value.sections);else if("source"===r.value.kind){var o=function(t){if(!i)if(t instanceof ce&&se(t.value)===Gt){var e=t.value;a(e.sections)}else t instanceof pe?a(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return i},e}(Ei),Pc={paint:new Si({"background-color":new wi(Lt.paint_background["background-color"]),"background-pattern":new Ai(Lt.paint_background["background-pattern"]),"background-opacity":new wi(Lt.paint_background["background-opacity"])})},Ic=function(t){function e(e){t.call(this,e,Pc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ei),Oc={paint:new Si({"raster-opacity":new wi(Lt.paint_raster["raster-opacity"]),"raster-hue-rotate":new wi(Lt.paint_raster["raster-hue-rotate"]),"raster-brightness-min":new wi(Lt.paint_raster["raster-brightness-min"]),"raster-brightness-max":new wi(Lt.paint_raster["raster-brightness-max"]),"raster-saturation":new wi(Lt.paint_raster["raster-saturation"]),"raster-contrast":new wi(Lt.paint_raster["raster-contrast"]),"raster-resampling":new wi(Lt.paint_raster["raster-resampling"]),"raster-fade-duration":new wi(Lt.paint_raster["raster-fade-duration"])})},zc=function(t){function e(e){t.call(this,e,Oc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ei);var Dc=function(t){function e(e){t.call(this,e,{}),this.implementation=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.is3D=function(){return"3d"===this.implementation.renderingMode},e.prototype.hasOffscreenPass=function(){return void 0!==this.implementation.prerender},e.prototype.recalculate=function(){},e.prototype.updateTransitions=function(){},e.prototype.hasTransition=function(){},e.prototype.serialize=function(){},e.prototype.onAdd=function(t){this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},e.prototype.onRemove=function(t){this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},e}(Ei),Rc={circle:_o,heatmap:Po,hillshade:Oo,fill:xs,"fill-extrusion":Fs,line:Xs,symbol:Cc,background:Ic,raster:zc};var Fc=self.HTMLImageElement,Bc=self.HTMLCanvasElement,Nc=self.HTMLVideoElement,jc=self.ImageData,Uc=self.ImageBitmap,Vc=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Vc.prototype.update=function(t,e,r){var n=t.width,i=t.height,a=!(this.size&&this.size[0]===n&&this.size[1]===i||r),o=this.context,s=o.gl;if(this.useMipmap=Boolean(e&&e.useMipmap),s.bindTexture(s.TEXTURE_2D,this.texture),o.pixelStoreUnpackFlipY.set(!1),o.pixelStoreUnpack.set(1),o.pixelStoreUnpackPremultiplyAlpha.set(this.format===s.RGBA&&(!e||!1!==e.premultiply)),a)this.size=[n,i],t instanceof Fc||t instanceof Bc||t instanceof Nc||t instanceof jc||Uc&&t instanceof Uc?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,i,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},c=l.x,u=l.y;t instanceof Fc||t instanceof Bc||t instanceof Nc||t instanceof jc||Uc&&t instanceof Uc?s.texSubImage2D(s.TEXTURE_2D,0,c,u,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,c,u,n,i,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Vc.prototype.bind=function(t,e,r){var n=this.context.gl;n.bindTexture(n.TEXTURE_2D,this.texture),r!==n.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(r=n.LINEAR),t!==this.filter&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,t),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,r||t),this.filter=t),e!==this.wrap&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,e),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,e),this.wrap=e)},Vc.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Vc.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var Hc=function(t){var e=this;this._callback=t,this._triggered=!1,"undefined"!=typeof MessageChannel&&(this._channel=new MessageChannel,this._channel.port2.onmessage=function(){e._triggered=!1,e._callback()})};Hc.prototype.trigger=function(){var t=this;this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout((function(){t._triggered=!1,t._callback()}),0))},Hc.prototype.remove=function(){delete this._channel,this._callback=function(){}};var qc=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},m(["receive","process"],this),this.invoker=new Hc(this.process),this.target.addEventListener("message",this.receive,!1),this.globalScope=k()?t:self};function Gc(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return[t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}qc.prototype.send=function(t,e,r,n,i){var a=this;void 0===i&&(i=!1);var o=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[o]=r);var s=S(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:i,sourceMapId:this.mapId,data:Hn(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:"<cancel>",targetMapId:n,sourceMapId:a.mapId})}}},qc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if("<cancel>"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else k()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},qc.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},qc.prototype.processTask=function(t,e){var r=this;if("<response>"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(qn(e.error)):n(null,qn(e.data)))}else{var i=!1,a=S(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:"<response>",sourceMapId:r.mapId,error:e?Hn(e):null,data:Hn(n,a)},a)}:function(t){i=!0},s=null,l=qn(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var c=e.type.split(".");s=this.parent.getWorkerSource(e.sourceMapId,c[0],l.source)[c[1]](l,o)}else o(new Error("Could not find function "+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},qc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener("message",this.receive,!1)};var Yc=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Yc.prototype.setNorthEast=function(t){return this._ne=t instanceof Wc?new Wc(t.lng,t.lat):Wc.convert(t),this},Yc.prototype.setSouthWest=function(t){return this._sw=t instanceof Wc?new Wc(t.lng,t.lat):Wc.convert(t),this},Yc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Wc)e=t,r=t;else{if(!(t instanceof Yc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Yc.convert(a))}var o=t;return this.extend(Wc.convert(o))}return this}if(e=t._sw,r=t._ne,!e||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new Wc(e.lng,e.lat),this._ne=new Wc(r.lng,r.lat)),this},Yc.prototype.getCenter=function(){return new Wc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Yc.prototype.getSouthWest=function(){return this._sw},Yc.prototype.getNorthEast=function(){return this._ne},Yc.prototype.getNorthWest=function(){return new Wc(this.getWest(),this.getNorth())},Yc.prototype.getSouthEast=function(){return new Wc(this.getEast(),this.getSouth())},Yc.prototype.getWest=function(){return this._sw.lng},Yc.prototype.getSouth=function(){return this._sw.lat},Yc.prototype.getEast=function(){return this._ne.lng},Yc.prototype.getNorth=function(){return this._ne.lat},Yc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Yc.prototype.toString=function(){return"LngLatBounds("+this._sw.toString()+", "+this._ne.toString()+")"},Yc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Yc.prototype.contains=function(t){var e=Wc.convert(t),r=e.lng,n=e.lat,i=this._sw.lat<=n&&n<=this._ne.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a},Yc.convert=function(t){return!t||t instanceof Yc?t:new Yc(t)};var Wc=function(t,e){if(isNaN(t)||isNaN(e))throw new Error("Invalid LngLat object: ("+t+", "+e+")");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error("Invalid LngLat latitude value: must be between -90 and 90")};Wc.prototype.wrap=function(){return new Wc(c(this.lng,-180,180),this.lat)},Wc.prototype.toArray=function(){return[this.lng,this.lat]},Wc.prototype.toString=function(){return"LngLat("+this.lng+", "+this.lat+")"},Wc.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return 6371008.8*Math.acos(Math.min(i,1))},Wc.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Yc(new Wc(this.lng-r,this.lat-e),new Wc(this.lng+r,this.lat+e))},Wc.convert=function(t){if(t instanceof Wc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Wc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&"object"==typeof t&&null!==t)return new Wc(Number("lng"in t?t.lng:t.lon),Number(t.lat));throw new Error("`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]")};var Xc=2*Math.PI*6371008.8;function Zc(t){return Xc*Math.cos(t*Math.PI/180)}function Jc(t){return(180+t)/360}function Kc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Qc(t,e){return t/Zc(e)}function $c(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var tu=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};tu.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Wc.convert(t);return new tu(Jc(r.lng),Kc(r.lat),Qc(e,r.lat))},tu.prototype.toLngLat=function(){return new Wc(360*this.x-180,$c(this.y))},tu.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Zc($c(e));var t,e},tu.prototype.meterInMercatorCoordinateUnits=function(){return 1/Xc*(t=$c(this.y),1/Math.cos(t*Math.PI/180));var t};var eu=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=iu(0,t,t,e,r)};eu.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},eu.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Gc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Gc(256*(r+1),256*(n+1),i),a[0]+","+a[1]+","+o[0]+","+o[1]),l=function(t,e,r){for(var n,i="",a=t;a>0;a--)i+=(e&(n=1<<a-1)?1:0)+(r&n?2:0);return i}(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace("{prefix}",(this.x%16).toString(16)+(this.y%16).toString(16)).replace("{z}",String(this.z)).replace("{x}",String(this.x)).replace("{y}",String("tms"===e?Math.pow(2,this.z)-this.y-1:this.y)).replace("{quadkey}",l).replace("{bbox-epsg-3857}",s)},eu.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new i(8192*(t.x*e-this.x),8192*(t.y*e-this.y))},eu.prototype.toString=function(){return this.z+"/"+this.x+"/"+this.y};var ru=function(t,e){this.wrap=t,this.canonical=e,this.key=iu(t,e.z,e.z,e.x,e.y)},nu=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new eu(r,+n,+i),this.key=iu(e,t,r,n,i)};function iu(t,e,r,n,i){(t*=2)<0&&(t=-1*t-1);var a=1<<r;return(a*a*t+a*i+n).toString(36)+r.toString(36)+e.toString(36)}nu.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},nu.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new nu(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new nu(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},nu.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?iu(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):iu(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},nu.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ<this.overscaledZ&&t.canonical.x===this.canonical.x>>e&&t.canonical.y===this.canonical.y>>e},nu.prototype.children=function(t){if(this.overscaledZ>=t)return[new nu(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new nu(e,this.wrap,e,r,n),new nu(e,this.wrap,e,r+1,n),new nu(e,this.wrap,e,r,n+1),new nu(e,this.wrap,e,r+1,n+1)]},nu.prototype.isLessThan=function(t){return this.wrap<t.wrap||!(this.wrap>t.wrap)&&(this.overscaledZ<t.overscaledZ||!(this.overscaledZ>t.overscaledZ)&&(this.canonical.x<t.canonical.x||!(this.canonical.x>t.canonical.x)&&this.canonical.y<t.canonical.y))},nu.prototype.wrapped=function(){return new nu(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},nu.prototype.unwrapTo=function(t){return new nu(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},nu.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},nu.prototype.toUnwrapped=function(){return new ru(this.wrap,this.canonical)},nu.prototype.toString=function(){return this.overscaledZ+"/"+this.canonical.x+"/"+this.canonical.y},nu.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new tu(t.x-this.wrap,t.y))},Nn("CanonicalTileID",eu),Nn("OverscaledTileID",nu,{omit:["posMatrix"]});var au=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError("DEM tiles must be square");if(r&&"mapbox"!==r&&"terrarium"!==r)return _('"'+r+'" is not a valid encoding type. Valid types include "mapbox" and "terrarium".');this.stride=e.height;var n=this.dim=e.height-2;this.data=new Uint32Array(e.data.buffer),this.encoding=r||"mapbox";for(var i=0;i<n;i++)this.data[this._idx(-1,i)]=this.data[this._idx(0,i)],this.data[this._idx(n,i)]=this.data[this._idx(n-1,i)],this.data[this._idx(i,-1)]=this.data[this._idx(i,0)],this.data[this._idx(i,n)]=this.data[this._idx(i,n-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(n,-1)]=this.data[this._idx(n-1,0)],this.data[this._idx(-1,n)]=this.data[this._idx(0,n-1)],this.data[this._idx(n,n)]=this.data[this._idx(n-1,n-1)]};au.prototype.get=function(t,e){var r=new Uint8Array(this.data.buffer),n=4*this._idx(t,e);return("terrarium"===this.encoding?this._unpackTerrarium:this._unpackMapbox)(r[n],r[n+1],r[n+2])},au.prototype.getUnpackVector=function(){return"terrarium"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},au.prototype._idx=function(t,e){if(t<-1||t>=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError("out of range source coordinates for DEM data");return(e+1)*this.stride+(t+1)},au.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},au.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},au.prototype.getPixels=function(){return new Eo({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},au.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error("dem dimension mismatch");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,c=a;c<o;c++)for(var u=n;u<i;u++)this.data[this._idx(u,c)]=t.data[this._idx(u+s,c+l)]},Nn("DEMData",au);var ou=function(t){this._stringToNumber={},this._numberToString=[];for(var e=0;e<t.length;e++){var r=t[e];this._stringToNumber[r]=e,this._numberToString[e]=r}};ou.prototype.encode=function(t){return this._stringToNumber[t]},ou.prototype.decode=function(t){return this._numberToString[t]};var su=function(t,e,r,n,i){this.type="Feature",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,this.id=i},lu={geometry:{configurable:!0}};lu.geometry.get=function(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},lu.geometry.set=function(t){this._geometry=t},su.prototype.toJSON=function(){var t={geometry:this.geometry};for(var e in this)"_geometry"!==e&&"_vectorTileFeature"!==e&&(t[e]=this[e]);return t},Object.defineProperties(su.prototype,lu);var cu=function(){this.state={},this.stateChanges={},this.deletedStates={}};cu.prototype.updateState=function(t,e,r){var n=String(e);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][n]=this.stateChanges[t][n]||{},u(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var i in this.deletedStates[t]={},this.state[t])i!==n&&(this.deletedStates[t][i]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var a in this.deletedStates[t][n]={},this.state[t][n])r[a]||(this.deletedStates[t][n][a]=null);else for(var o in r){this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]}},cu.prototype.removeFeatureState=function(t,e,r){if(!(null===this.deletedStates[t])){var n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e){if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null}else this.deletedStates[t]=null}},cu.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},i=this.stateChanges[t]||{},a=u({},n[r],i[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var o=this.deletedStates[t][e];if(null===o)return{};for(var s in o)delete a[s]}return a},cu.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},cu.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var i={};for(var a in this.stateChanges[n])this.state[n][a]||(this.state[n][a]={}),u(this.state[n][a],this.stateChanges[n][a]),i[a]=this.state[n][a];r[n]=i}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var c in this.deletedStates[o]){if(null===this.deletedStates[o][c])this.state[o][c]={};else for(var f=0,h=Object.keys(this.deletedStates[o][c]);f<h.length;f+=1){var p=h[f];delete this.state[o][c][p]}s[c]=this.state[o][c]}r[o]=r[o]||{},u(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t){t[d].setFeatureState(r,e)}};var uu=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new zn(8192,16,0),this.grid3D=new zn(8192,16,0),this.featureIndexArray=new fa,this.promoteId=e};function fu(t,e,r,n,i){return v(t,(function(t,a){var o=e instanceof _i?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function hu(t){for(var e=1/0,r=1/0,n=-1/0,i=-1/0,a=0,o=t;a<o.length;a+=1){var s=o[a];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),i=Math.max(i,s.y)}return{minX:e,minY:r,maxX:n,maxY:i}}function pu(t,e){return e-t}uu.prototype.insert=function(t,e,r,n,i,a){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,i);for(var s=a?this.grid3D:this.grid,l=0;l<e.length;l++){for(var c=e[l],u=[1/0,1/0,-1/0,-1/0],f=0;f<c.length;f++){var h=c[f];u[0]=Math.min(u[0],h.x),u[1]=Math.min(u[1],h.y),u[2]=Math.max(u[2],h.x),u[3]=Math.max(u[3],h.y)}u[0]<8192&&u[1]<8192&&u[2]>=0&&u[3]>=0&&s.insert(o,u[0],u[1],u[2],u[3])}},uu.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new Ls.VectorTile(new al(this.rawTileData)).layers,this.sourceLayerCoder=new ou(this.vtLayers?Object.keys(this.vtLayers).sort():["_geojsonTileLayer"])),this.vtLayers},uu.prototype.query=function(t,e,r,n){var a=this;this.loadVTLayers();for(var o=t.params||{},s=8192/t.tileSize/t.scale,l=sn(o.filter),c=t.queryGeometry,u=t.queryPadding*s,f=hu(c),h=this.grid.query(f.minX-u,f.minY-u,f.maxX+u,f.maxY+u),p=hu(t.cameraQueryGeometry),d=this.grid3D.query(p.minX-u,p.minY-u,p.maxX+u,p.maxY+u,(function(e,r,n,a){return function(t,e,r,n,a){for(var o=0,s=t;o<s.length;o+=1){var l=s[o];if(e<=l.x&&r<=l.y&&n>=l.x&&a>=l.y)return!0}var c=[new i(e,r),new i(e,a),new i(n,a),new i(n,r)];if(t.length>2)for(var u=0,f=c;u<f.length;u+=1){if(io(t,f[u]))return!0}for(var h=0;h<t.length-1;h++){if(ao(t[h],t[h+1],c))return!0}return!1}(t.cameraQueryGeometry,e-u,r-u,n+u,a+u)})),m=0,g=d;m<g.length;m+=1){var v=g[m];h.push(v)}h.sort(pu);for(var y,x={},b=function(i){var u=h[i];if(u!==y){y=u;var f=a.featureIndexArray.get(u),p=null;a.loadMatchingFeature(x,f.bucketIndex,f.sourceLayerIndex,f.featureIndex,l,o.layers,o.availableImages,e,r,n,(function(e,r,n){return p||(p=Ya(e)),r.queryIntersectsFeature(c,e,n,p,a.z,t.transform,s,t.pixelPosMatrix)}))}},_=0;_<h.length;_++)b(_);return x},uu.prototype.loadMatchingFeature=function(t,e,r,n,i,a,o,s,l,c,u){var f=this.bucketLayerIDs[e];if(!a||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),p=this.vtLayers[h].feature(n);if(i.filter(new pi(this.tileID.overscaledZ),p))for(var d=this.getId(p,h),m=0;m<f.length;m++){var g=f[m];if(!(a&&a.indexOf(g)<0)){var v=s[g];if(v){var y={};void 0!==d&&c&&(y=c.getState(v.sourceLayer||"_geojsonTileLayer",d));var x=l[g];x.paint=fu(x.paint,v.paint,p,y,o),x.layout=fu(x.layout,v.layout,p,y,o);var b=!u||u(p,v,y);if(b){var _=new su(p,this.z,this.x,this.y,d);_.layer=x;var w=t[g];void 0===w&&(w=t[g]=[]),w.push({featureIndex:n,feature:_,intersectionZ:b})}}}}}},uu.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a,o,s){var l={};this.loadVTLayers();for(var c=sn(i),u=0,f=t;u<f.length;u+=1){var h=f[u];this.loadMatchingFeature(l,r,n,h,c,a,o,s,e)}return l},uu.prototype.hasLayer=function(t){for(var e=0,r=this.bucketLayerIDs;e<r.length;e+=1)for(var n=0,i=r[e];n<i.length;n+=1){if(t===i[n])return!0}return!1},uu.prototype.getId=function(t,e){var r=t.id;if(this.promoteId){var n="string"==typeof this.promoteId?this.promoteId:this.promoteId[e];"boolean"==typeof(r=t.properties[n])&&(r=Number(r))}return r},Nn("FeatureIndex",uu,{omit:["rawTileData","sourceLayerCoder"]});var du=function(t,e){this.tileID=t,this.uid=h(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state="loading"};du.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<R.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},du.prototype.wasRequested=function(){return"errored"===this.state||"loaded"===this.state||"reloading"===this.state},du.prototype.loadVectorData=function(t,e,r){if(this.hasData()&&this.unloadVectorData(),this.state="loaded",t){for(var n in t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){var r={};if(!e)return r;for(var n=function(){var t=a[i],n=t.layerIds.map((function(t){return e.getLayer(t)})).filter(Boolean);if(0!==n.length){t.layers=n,t.stateDependentLayerIds&&(t.stateDependentLayers=t.stateDependentLayerIds.map((function(t){return n.filter((function(e){return e.id===t}))[0]})));for(var o=0,s=n;o<s.length;o+=1){var l=s[o];r[l.id]=t}}},i=0,a=t;i<a.length;i+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var i=this.buckets[n];if(i instanceof Mc){if(this.hasSymbolBuckets=!0,!r)break;i.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(var a in this.buckets){var o=this.buckets[a];if(o instanceof Mc&&o.hasRTLText){this.hasRTLText=!0,hi.isLoading()||hi.isLoaded()||"deferred"!==ui()||fi();break}}for(var s in this.queryPadding=0,this.buckets){var l=this.buckets[s];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(s).queryRadius(l))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new na},du.prototype.unloadVectorData=function(){for(var t in this.buckets)this.buckets[t].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state="unloaded"},du.prototype.getBucket=function(t){return this.buckets[t.id]},du.prototype.upload=function(t){for(var e in this.buckets){var r=this.buckets[e];r.uploadPending()&&r.upload(t)}var n=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new Vc(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Vc(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},du.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},du.prototype.queryRenderedFeatures=function(t,e,r,n,i,a,o,s,l,c){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:c,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},du.prototype.querySourceFeatures=function(t,e){var r=this.latestFeatureIndex;if(r&&r.rawTileData){var n=r.loadVTLayers(),i=e?e.sourceLayer:"",a=n._geojsonTileLayer||n[i];if(a)for(var o=sn(e&&e.filter),s=this.tileID.canonical,l=s.z,c=s.x,u=s.y,f={z:l,x:c,y:u},h=0;h<a.length;h++){var p=a.feature(h);if(o.filter(new pi(this.tileID.overscaledZ),p)){var d=r.getId(p,i),m=new su(p,l,c,u,d);m.tile=f,t.push(m)}}}},du.prototype.hasData=function(){return"loaded"===this.state||"reloading"===this.state||"expired"===this.state},du.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},du.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=A(t.cacheControl);r["max-age"]&&(this.expirationTime=Date.now()+1e3*r["max-age"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),i=!1;if(this.expirationTime>n)i=!1;else if(e)if(this.expirationTime<e)i=!0;else{var a=this.expirationTime-e;a?this.expirationTime=n+Math.max(a,3e4):i=!0}else i=!0;i?(this.expiredRequestCount++,this.state="expired"):this.expiredRequestCount=0}},du.prototype.getExpiryTimeout=function(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-(new Date).getTime(),Math.pow(2,31)-1)},du.prototype.setFeatureState=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData&&0!==Object.keys(t).length){var r=this.latestFeatureIndex.loadVTLayers();for(var n in this.buckets)if(e.style.hasLayer(n)){var i=this.buckets[n],a=i.layers[0].sourceLayer||"_geojsonTileLayer",o=r[a],s=t[a];if(o&&s&&0!==Object.keys(s).length){i.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});var l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(i)))}}}},du.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},du.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<R.now()},du.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},du.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=R.now()+t},du.prototype.setDependencies=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){r[i[n]]=!0}this.dependencies[t]=r},du.prototype.hasDependency=function(t,e){for(var r=0,n=t;r<n.length;r+=1){var i=n[r],a=this.dependencies[i];if(a)for(var o=0,s=e;o<s.length;o+=1){if(a[s[o]])return!0}}return!1};var mu=self.performance,gu=function(t){this._marks={start:[t.url,"start"].join("#"),end:[t.url,"end"].join("#"),measure:t.url.toString()},mu.mark(this._marks.start)};gu.prototype.finish=function(){mu.mark(this._marks.end);var t=mu.getEntriesByName(this._marks.measure);return 0===t.length&&(mu.measure(this._marks.measure,this._marks.start,this._marks.end),t=mu.getEntriesByName(this._marks.measure),mu.clearMarks(this._marks.start),mu.clearMarks(this._marks.end),mu.clearMeasures(this._marks.measure)),t},t.Actor=qc,t.AlphaImage=So,t.CanonicalTileID=eu,t.CollisionBoxArray=na,t.Color=te,t.DEMData=au,t.DataConstantProperty=wi,t.DictionaryCoder=ou,t.EXTENT=8192,t.ErrorEvent=St,t.EvaluationParameters=pi,t.Event=Mt,t.Evented=Et,t.FeatureIndex=uu,t.FillBucket=gs,t.FillExtrusionBucket=Os,t.ImageAtlas=Ll,t.ImagePosition=Sl,t.LineBucket=qs,t.LngLat=Wc,t.LngLatBounds=Yc,t.MercatorCoordinate=tu,t.ONE_EM=24,t.OverscaledTileID=nu,t.Point=i,t.Point$1=i,t.Properties=Si,t.Protobuf=al,t.RGBAImage=Eo,t.RequestManager=H,t.RequestPerformance=gu,t.ResourceType=dt,t.SegmentVector=pa,t.SourceFeatureState=cu,t.StructArrayLayout1ui2=$i,t.StructArrayLayout2f1f2i16=qi,t.StructArrayLayout2i4=zi,t.StructArrayLayout3ui6=Yi,t.StructArrayLayout4i8=Di,t.SymbolBucket=Mc,t.Texture=Vc,t.Tile=du,t.Transitionable=gi,t.Uniform1f=Sa,t.Uniform1i=Ma,t.Uniform2f=Ea,t.Uniform3f=La,t.Uniform4f=Ca,t.UniformColor=Pa,t.UniformMatrix4f=Oa,t.UnwrappedTileID=ru,t.ValidationError=Ct,t.WritingMode=Cl,t.ZoomHistory=Gn,t.add=function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t},t.addDynamicAttributes=wc,t.asyncAll=function(t,e,r){if(!t.length)return r(null,[]);var n=t.length,i=new Array(t.length),a=null;t.forEach((function(t,o){e(t,(function(t,e){t&&(a=t),i[o]=e,0==--n&&r(a,i)}))}))},t.bezier=o,t.bindAll=m,t.browser=R,t.cacheEntryPossiblyAdded=function(t){++ht>ot&&(t.getActor().send("enforceCacheSizeLimit",at),ht=0)},t.clamp=l,t.clearTileCache=function(t){var e=self.caches.delete("mapbox-tiles");t&&e.catch(t).then((function(){return t()}))},t.clipLine=ec,t.clone=function(t){var e=new fo(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e},t.clone$1=x,t.clone$2=function(t){var e=new fo(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=tl,t.config=F,t.create=function(){var t=new fo(16);return 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vt(t,e,r,n,i,a){return[Math.round(r*(t*n-i)),Math.round(r*(e*n-a))]}function yt(t,e,r,n,i){for(var a=e===i.maxZoom?0:i.tolerance/((1<<e)*i.extent),o={features:[],numPoints:0,numSimplified:0,numFeatures:0,source:null,x:r,y:n,z:e,transformed:!1,minX:2,minY:1,maxX:-1,maxY:0},s=0;s<t.length;s++){o.numFeatures++,xt(o,t[s],a,i);var l=t[s].minX,c=t[s].minY,u=t[s].maxX,f=t[s].maxY;l<o.minX&&(o.minX=l),c<o.minY&&(o.minY=c),u>o.maxX&&(o.maxX=u),f>o.maxY&&(o.maxY=f)}return o}function xt(t,e,r,n){var i=e.geometry,a=e.type,o=[];if("Point"===a||"MultiPoint"===a)for(var s=0;s<i.length;s+=3)o.push(i[s]),o.push(i[s+1]),t.numPoints++,t.numSimplified++;else if("LineString"===a)bt(o,i,t,r,!1,!1);else if("MultiLineString"===a||"Polygon"===a)for(s=0;s<i.length;s++)bt(o,i[s],t,r,"Polygon"===a,0===s);else if("MultiPolygon"===a)for(var l=0;l<i.length;l++){var c=i[l];for(s=0;s<c.length;s++)bt(o,c[s],t,r,!0,0===s)}if(o.length){var u=e.tags||null;if("LineString"===a&&n.lineMetrics){for(var f in u={},e.tags)u[f]=e.tags[f];u.mapbox_clip_start=i.start/i.size,u.mapbox_clip_end=i.end/i.size}var h={geometry:o,type:"Polygon"===a||"MultiPolygon"===a?3:"LineString"===a||"MultiLineString"===a?2:1,tags:u};null!==e.id&&(h.id=e.id),t.features.push(h)}}function bt(t,e,r,n,i,a){var o=n*n;if(n>0&&e.size<(i?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;l<e.length;l+=3)(0===n||e[l+2]>o)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;i&&function(t,e){for(var r=0,n=0,i=t.length,a=i-2;n<i;a=n,n+=2)r+=(t[n]-t[a])*(t[n+1]+t[a+1]);if(r>0===e)for(n=0,i=t.length;n<i/2;n+=2){var o=t[n],s=t[n+1];t[n]=t[i-2-n],t[n+1]=t[i-1-n],t[i-2-n]=o,t[i-1-n]=s}}(s,a),t.push(s)}}function _t(t,e){var r=(e=this.options=function(t,e){for(var r in e)t[r]=e[r];return t}(Object.create(this.options),e)).debug;if(r&&console.time("preprocess data"),e.maxZoom<0||e.maxZoom>24)throw new Error("maxZoom should be in the 0-24 range");if(e.promoteId&&e.generateId)throw new Error("promoteId and generateId cannot be used together.");var n=function(t,e){var r=[];if("FeatureCollection"===t.type)for(var n=0;n<t.features.length;n++)tt(r,t.features[n],e,n);else"Feature"===t.type?tt(r,t,e):tt(r,{geometry:t},e);return r}(t,e);this.tiles={},this.tileCoords=[],r&&(console.timeEnd("preprocess data"),console.log("index: maxZoom: %d, maxPoints: %d",e.indexMaxZoom,e.indexMaxPoints),console.time("generate tiles"),this.stats={},this.total=0),(n=function(t,e){var r=e.buffer/e.extent,n=t,i=ot(t,1,-1-r,r,0,-1,2,e),a=ot(t,1,1-r,2+r,0,-1,2,e);return(i||a)&&(n=ot(t,1,-r,1+r,0,-1,2,e)||[],i&&(n=dt(i,1).concat(n)),a&&(n=n.concat(dt(a,-1)))),n}(n,e)).length&&this.splitTile(n,0,0,0),r&&(n.length&&console.log("features: %d, points: %d",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd("generate tiles"),console.log("tiles generated:",this.total,JSON.stringify(this.stats)))}function wt(t,e,r){return 32*((1<<t)*r+e)+t}function Tt(t,e){var r=t.tileID.canonical;if(!this._geoJSONIndex)return e(null,null);var n=this._geoJSONIndex.getTile(r.z,r.x,r.y);if(!n)return e(null,null);var i=new g(n.features),a=_(i);0===a.byteOffset&&a.byteLength===a.buffer.byteLength||(a=new Uint8Array(a)),e(null,{vectorTile:i,rawData:a.buffer})}U.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,i=e.maxZoom,a=e.nodeSize;r&&console.time("total time");var o="prepare "+t.length+" points";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(H(t[l],l));this.trees[i+1]=new N(s,Z,J,a,Float32Array),r&&console.timeEnd(o);for(var c=i;c>=n;c--){var u=+Date.now();s=this._cluster(s,c),this.trees[c]=new N(s,Z,J,a,Float32Array),r&&console.log("z%d: %d clusters in %dms",c,s.length,+Date.now()-u)}return r&&console.timeEnd("total time"),this},U.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],c=[],u=0,f=l.range(Y(r),W(a),Y(i),W(n));u<f.length;u+=1){var h=f[u],p=l.points[h];c.push(p.numPoints?q(p):this.points[p.index])}return c},U.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),n="No cluster with the specified id.",i=this.trees[r];if(!i)throw new Error(n);var a=i.points[e];if(!a)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,c=i.within(a.x,a.y,o);l<c.length;l+=1){var u=c[l],f=i.points[u];f.parentId===t&&s.push(f.numPoints?q(f):this.points[f.index])}if(0===s.length)throw new Error(n);return s},U.prototype.getLeaves=function(t,e,r){e=e||10,r=r||0;var n=[];return this._appendLeaves(n,t,e,r,0),n},U.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),a=this.options,o=a.extent,s=a.radius/o,l=(r-s)/i,c=(r+1+s)/i,u={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,c),n.points,e,r,i,u),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,c),n.points,i,r,i,u),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,c),n.points,-1,r,i,u),u.features.length?u:null},U.prototype.getClusterExpansionZoom=function(t){for(var e=this._getOriginZoom(t)-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},U.prototype._appendLeaves=function(t,e,r,n,i){for(var a=0,o=this.getChildren(e);a<o.length;a+=1){var s=o[a],l=s.properties;if(l&&l.cluster?i+l.point_count<=n?i+=l.point_count:i=this._appendLeaves(t,l.cluster_id,r,n,i):i<n?i++:t.push(s),t.length===r)break}return i},U.prototype._addTileFeatures=function(t,e,r,n,i,a){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],c=l.numPoints,u={type:1,geometry:[[Math.round(this.options.extent*(l.x*i-r)),Math.round(this.options.extent*(l.y*i-n))]],tags:c?G(l):this.points[l.index].properties},f=void 0;c?f=l.id:this.options.generateId?f=l.index:this.points[l.index].id&&(f=this.points[l.index].id),void 0!==f&&(u.id=f),a.features.push(u)}},U.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(t,this.options.maxZoom+1))},U.prototype._cluster=function(t,e){for(var r=[],n=this.options,i=n.radius,a=n.extent,o=n.reduce,s=i/(a*Math.pow(2,e)),l=0;l<t.length;l++){var c=t[l];if(!(c.zoom<=e)){c.zoom=e;for(var u=this.trees[e+1],f=u.within(c.x,c.y,s),h=c.numPoints||1,p=c.x*h,d=c.y*h,m=o&&h>1?this._map(c,!0):null,g=(l<<5)+(e+1)+this.points.length,v=0,y=f;v<y.length;v+=1){var x=y[v],b=u.points[x];if(!(b.zoom<=e)){b.zoom=e;var _=b.numPoints||1;p+=b.x*_,d+=b.y*_,h+=_,b.parentId=g,o&&(m||(m=this._map(c,!0)),o(m,this._map(b)))}}1===h?r.push(c):(c.parentId=g,r.push(V(p/h,d/h,g,h,m)))}}return r},U.prototype._getOriginId=function(t){return t-this.points.length>>5},U.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},U.prototype._map=function(t,e){if(t.numPoints)return e?X({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?X({},n):n},_t.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},_t.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,c=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var u=1<<e,f=wt(e,r,n),h=this.tiles[f];if(!h&&(c>1&&console.time("creation"),h=this.tiles[f]=yt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),c)){c>1&&(console.log("tile z%d-%d-%d (features: %d, points: %d, simplified: %d)",e,r,n,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd("creation"));var p="z"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<<i-e;if(r!==Math.floor(a/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||h.numPoints<=l.indexMaxPoints)continue;if(h.source=null,0!==t.length){c>1&&console.time("clipping");var m,g,v,y,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;m=g=v=y=null,x=ot(t,u,r-_,r+T,0,h.minX,h.maxX,l),b=ot(t,u,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(m=ot(x,u,n-_,n+T,1,h.minY,h.maxY,l),g=ot(x,u,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(v=ot(b,u,n-_,n+T,1,h.minY,h.maxY,l),y=ot(b,u,n+w,n+k,1,h.minY,h.maxY,l),b=null),c>1&&console.timeEnd("clipping"),s.push(m||[],e+1,2*r,2*n),s.push(g||[],e+1,2*r,2*n+1),s.push(v||[],e+1,2*r+1,2*n),s.push(y||[],e+1,2*r+1,2*n+1)}}},_t.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<<t,s=wt(t,e=(e%o+o)%o,r);if(this.tiles[s])return gt(this.tiles[s],i);a>1&&console.log("drilling down to z%d-%d-%d",t,e,r);for(var l,c=t,u=e,f=r;!l&&c>0;)c--,u=Math.floor(u/2),f=Math.floor(f/2),l=this.tiles[wt(c,u,f)];return l&&l.source?(a>1&&console.log("found parent tile z%d-%d-%d",c,u,f),a>1&&console.time("drilling down"),this.splitTile(l.source,c,u,f,t,e,r),a>1&&console.timeEnd("drilling down"),this.tiles[s]?gt(this.tiles[s],i):null):null};var kt=function(e){function r(t,r,n,i){e.call(this,t,r,n,Tt),i&&(this.loadGeoJSON=i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&"Idle"!==this._state?this._state="NeedsLoadData":(this._state="Coalescing",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(a,o){if(a||!o)return r(a);if("object"!=typeof o)return r(new Error("Input data given to '"+n.source+"' is not a valid GeoJSON object."));f(o,!0);try{e._geoJSONIndex=n.cluster?new U(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),c=0,u=l;c<u.length;c+=1){var f=u[c],h=n[f],p=h[0],d=h[1],m=t.createExpression(d),g=t.createExpression("string"==typeof p?[p,["accumulated"],["get",f]]:p);i[f]=m.value,a[f]=g.value}return r.map=function(t){s.properties=t;for(var e={},r=0,n=l;r<n.length;r+=1){var a=n[r];e[a]=i[a].evaluate(o,s)}return e},r.reduce=function(t,e){s.properties=e;for(var r=0,n=l;r<n.length;r+=1){var i=n[r];o.accumulated=t[i],t[i]=a[i].evaluate(o,s)}},r}(n)).load(o.features):function(t,e){return new _t(t,e)}(o,n.geojsonVtOptions)}catch(a){return r(a)}e.loaded={};var s={};if(i){var l=i.finish();l&&(s.resourceTiming={},s.resourceTiming[n.source]=JSON.parse(JSON.stringify(l)))}r(null,s)}))}},r.prototype.coalesce=function(){"Coalescing"===this._state?this._state="Idle":"NeedsLoadData"===this._state&&(this._state="Coalescing",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded,i=t.uid;return n&&n[i]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if("string"!=typeof e.data)return r(new Error("Input data given to '"+e.source+"' is not a valid GeoJSON object."));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error("Input data given to '"+e.source+"' is not a valid GeoJSON object."))}}},r.prototype.removeSource=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),e()},r.prototype.getClusterExpansionZoom=function(t,e){try{e(null,this._geoJSONIndex.getClusterExpansionZoom(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterChildren=function(t,e){try{e(null,this._geoJSONIndex.getChildren(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterLeaves=function(t,e){try{e(null,this._geoJSONIndex.getLeaves(t.clusterId,t.limit,t.offset))}catch(t){e(t)}},r}(l);var At=function(e){var r=this;this.self=e,this.actor=new t.Actor(e,this),this.layerIndexes={},this.availableImages={},this.workerSourceTypes={vector:l,geojson:kt},this.workerSources={},this.demWorkerSources={},this.self.registerWorkerSource=function(t,e){if(r.workerSourceTypes[t])throw new Error('Worker source with name "'+t+'" already registered.');r.workerSourceTypes[t]=e},this.self.registerRTLTextPlugin=function(e){if(t.plugin.isParsed())throw new Error("RTL text plugin already registered.");t.plugin.applyArabicShaping=e.applyArabicShaping,t.plugin.processBidirectionalText=e.processBidirectionalText,t.plugin.processStyledBidirectionalText=e.processStyledBidirectionalText}};return At.prototype.setReferrer=function(t,e){this.referrer=e},At.prototype.setImages=function(t,e,r){for(var n in this.availableImages[t]=e,this.workerSources[t]){var i=this.workerSources[t][n];for(var a in 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JSON support":"insufficient Object support":"insufficient Function support":"insufficent Array support"}t.exports?t.exports=e:window&&(window.mapboxgl=window.mapboxgl||{},window.mapboxgl.supported=e,window.mapboxgl.notSupportedReason=r);var n={};e.webGLContextAttributes={antialias:!1,alpha:!0,stencil:!0,depth:!0}})),r={create:function(e,r,n){var i=t.window.document.createElement(e);return void 0!==r&&(i.className=r),n&&n.appendChild(i),i},createNS:function(e,r){return t.window.document.createElementNS(e,r)}},n=t.window.document.documentElement.style;function i(t){if(!n)return t[0];for(var e=0;e<t.length;e++)if(t[e]in n)return t[e];return t[0]}var a,o=i(["userSelect","MozUserSelect","WebkitUserSelect","msUserSelect"]);r.disableDrag=function(){n&&o&&(a=n[o],n[o]="none")},r.enableDrag=function(){n&&o&&(n[o]=a)};var s=i(["transform","WebkitTransform"]);r.setTransform=function(t,e){t.style[s]=e};var l=!1;try{var c=Object.defineProperty({},"passive",{get:function(){l=!0}});t.window.addEventListener("test",c,c),t.window.removeEventListener("test",c,c)}catch(t){l=!1}r.addEventListener=function(t,e,r,n){void 0===n&&(n={}),"passive"in n&&l?t.addEventListener(e,r,n):t.addEventListener(e,r,n.capture)},r.removeEventListener=function(t,e,r,n){void 0===n&&(n={}),"passive"in n&&l?t.removeEventListener(e,r,n):t.removeEventListener(e,r,n.capture)};var u=function(e){e.preventDefault(),e.stopPropagation(),t.window.removeEventListener("click",u,!0)};function f(t){var e=t.userImage;if(e&&e.render&&e.render())return t.data.replace(new Uint8Array(e.data.buffer)),!0;return!1}r.suppressClick=function(){t.window.addEventListener("click",u,!0),t.window.setTimeout((function(){t.window.removeEventListener("click",u,!0)}),0)},r.mousePos=function(e,r){var n=e.getBoundingClientRect();return new t.Point(r.clientX-n.left-e.clientLeft,r.clientY-n.top-e.clientTop)},r.touchPos=function(e,r){for(var 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r=this.images[t];e.version=r.version+1,this.images[t]=e,this.updatedImages[t]=!0},r.prototype.removeImage=function(t){var e=this.images[t];delete this.images[t],delete this.patterns[t],e.userImage&&e.userImage.onRemove&&e.userImage.onRemove()},r.prototype.listImages=function(){return Object.keys(this.images)},r.prototype.getImages=function(t,e){var r=!0;if(!this.isLoaded())for(var n=0,i=t;n<i.length;n+=1){var a=i[n];this.images[a]||(r=!1)}this.isLoaded()||r?this._notify(t,e):this.requestors.push({ids:t,callback:e})},r.prototype._notify=function(e,r){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i];this.images[o]||this.fire(new t.Event("styleimagemissing",{id:o}));var s=this.images[o];s?n[o]={data:s.data.clone(),pixelRatio:s.pixelRatio,sdf:s.sdf,version:s.version,stretchX:s.stretchX,stretchY:s.stretchY,content:s.content,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image "'+o+'" could not be loaded. Please make sure you have added the image with map.addImage() or a "sprite" property in your style. You can provide missing images by listening for the "styleimagemissing" map event.')}r(null,n)},r.prototype.getPixelSize=function(){var t=this.atlasImage;return{width:t.width,height:t.height}},r.prototype.getPattern=function(e){var r=this.patterns[e],n=this.getImage(e);if(!n)return null;if(r&&r.position.version===n.version)return r.position;if(r)r.position.version=n.version;else{var i={w:n.data.width+2,h:n.data.height+2,x:0,y:0},a=new t.ImagePosition(i,n);this.patterns[e]={bin:i,position:a}}return this._updatePatternAtlas(),this.patterns[e].position},r.prototype.bind=function(e){var r=e.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new t.Texture(e,this.atlasImage,r.RGBA),this.atlasTexture.bind(r.LINEAR,r.CLAMP_TO_EDGE)},r.prototype._updatePatternAtlas=function(){var e=[];for(var r in this.patterns)e.push(this.patterns[r].bin);var n=t.potpack(e),i=n.w,a=n.h,o=this.atlasImage;for(var s in o.resize({width:i||1,height:a||1}),this.patterns){var l=this.patterns[s].bin,c=l.x+1,u=l.y+1,f=this.images[s].data,h=f.width,p=f.height;t.RGBAImage.copy(f,o,{x:0,y:0},{x:c,y:u},{width:h,height:p}),t.RGBAImage.copy(f,o,{x:0,y:p-1},{x:c,y:u-1},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:c,y:u+p},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:h-1,y:0},{x:c-1,y:u},{width:1,height:p}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:c+h,y:u},{width:1,height:p})}this.dirty=!0},r.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},r.prototype.dispatchRenderCallbacks=function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!this.callbackDispatchedThisFrame[n]){this.callbackDispatchedThisFrame[n]=!0;var i=this.images[n];f(i)&&this.updateImage(n,i)}}},r}(t.Evented);var p=g,d=g,m=1e20;function g(t,e,r,n,i,a){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=i||"sans-serif",this.fontWeight=a||"normal",this.radius=r||8;var o=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement("canvas"),this.canvas.width=this.canvas.height=o,this.ctx=this.canvas.getContext("2d"),this.ctx.font=this.fontWeight+" "+this.fontSize+"px "+this.fontFamily,this.ctx.textBaseline="middle",this.ctx.fillStyle="black",this.gridOuter=new Float64Array(o*o),this.gridInner=new Float64Array(o*o),this.f=new Float64Array(o),this.d=new Float64Array(o),this.z=new Float64Array(o+1),this.v=new Int16Array(o),this.middle=Math.round(o/2*(navigator.userAgent.indexOf("Gecko/")>=0?1.2:1))}function v(t,e,r,n,i,a,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(y(n,i,a,o,r),l=0;l<r;l++)t[l*e+s]=i[l]}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(y(n,i,a,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(i[s])}}function y(t,e,r,n,i){r[0]=0,n[0]=-m,n[1]=+m;for(var a=1,o=0;a<i;a++){for(var s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);s<=n[o];)o--,s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);r[++o]=a,n[o]=s,n[o+1]=+m}for(a=0,o=0;a<i;a++){for(;n[o+1]<a;)o++;e[a]=(a-r[o])*(a-r[o])+t[r[o]]}}g.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),r=new Uint8ClampedArray(this.size*this.size),n=0;n<this.size*this.size;n++){var i=e.data[4*n+3]/255;this.gridOuter[n]=1===i?0:0===i?m:Math.pow(Math.max(0,.5-i),2),this.gridInner[n]=1===i?m:0===i?0:Math.pow(Math.max(0,i-.5),2)}for(v(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),v(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++){var a=this.gridOuter[n]-this.gridInner[n];r[n]=Math.max(0,Math.min(255,Math.round(255-255*(a/this.radius+this.cutoff))))}return r},p.default=d;var x=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};x.prototype.setURL=function(t){this.url=t},x.prototype.getGlyphs=function(e,r){var n=this,i=[];for(var a in e)for(var o=0,s=e[a];o<s.length;o+=1){var l=s[o];i.push({stack:a,id:l})}t.asyncAll(i,(function(t,e){var r=t.stack,i=t.id,a=n.entries[r];a||(a=n.entries[r]={glyphs:{},requests:{},ranges:{}});var o=a.glyphs[i];if(void 0===o){if(o=n._tinySDF(a,r,i))return a.glyphs[i]=o,void e(null,{stack:r,id:i,glyph:o});var s=Math.floor(i/256);if(256*s>65535)e(new Error("glyphs > 65535 not supported"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i<o.length;i+=1){(0,o[i])(t,e)}delete a.requests[s]}))),l.push((function(t,n){t?e(t):n&&e(null,{stack:r,id:i,glyph:n[i]||null})}))}}else e(null,{stack:r,id:i,glyph:o})}),(function(t,e){if(t)r(t);else if(e){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.stack,l=o.id,c=o.glyph;(n[s]||(n[s]={}))[l]=c&&{id:c.id,bitmap:c.bitmap.clone(),metrics:c.metrics}}r(null,n)}}))},x.prototype._doesCharSupportLocalGlyph=function(e){return!!this.localIdeographFontFamily&&(t.isChar["CJK Unified Ideographs"](e)||t.isChar["Hangul Syllables"](e)||t.isChar.Hiragana(e)||t.isChar.Katakana(e))},x.prototype._tinySDF=function(e,r,n){var i=this.localIdeographFontFamily;if(i&&this._doesCharSupportLocalGlyph(n)){var a=e.tinySDF;if(!a){var o="400";/bold/i.test(r)?o="900":/medium/i.test(r)?o="500":/light/i.test(r)&&(o="200"),a=e.tinySDF=new x.TinySDF(24,3,8,.25,i,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},a.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,i,a){var o=256*r,s=o+255,l=i.transformRequest(i.normalizeGlyphsURL(n).replace("{fontstack}",e).replace("{range}",o+"-"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,(function(e,r){if(e)a(e);else if(r){for(var n={},i=0,o=t.parseGlyphPBF(r);i<o.length;i+=1){var s=o[i];n[s.id]=s}a(null,n)}}))},x.TinySDF=p;var b=function(){this.specification=t.styleSpec.light.position};b.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},b.prototype.interpolate=function(e,r,n){return{x:t.number(e.x,r.x,n),y:t.number(e.y,r.y,n),z:t.number(e.z,r.z,n)}};var _=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new b,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),w=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(_),this.setLight(r),this._transitioning=this._transitionable.untransitioned()}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getLight=function(){return this._transitionable.serialize()},r.prototype.setLight=function(e,r){if(void 0===r&&(r={}),!this._validate(t.validateLight,e,r))for(var n in e){var i=e[n];t.endsWith(n,"-transition")?this._transitionable.setTransition(n.slice(0,-"-transition".length),i):this._transitionable.setValue(n,i)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),T=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};T.prototype.getDash=function(t,e){var r=t.join(",")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]},T.prototype.getDashRanges=function(t,e,r){var n=[],i=t.length%2==1?-t[t.length-1]*r:0,a=t[0]*r,o=!0;n.push({left:i,right:a,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){o=!o;var c=t[l];i=s*r,a=(s+=c)*r,n.push({left:i,right:a,isDash:o,zeroLength:0===c})}return n},T.prototype.addRoundDash=function(t,e,r){for(var n=e/2,i=-r;i<=r;i++)for(var a=this.nextRow+r+i,o=this.width*a,s=0,l=t[s],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),f=Math.abs(c-l.right),h=Math.min(u,f),p=void 0,d=i/r*(n+1);if(l.isDash){var m=n-Math.abs(d);p=Math.sqrt(h*h+m*m)}else p=n-Math.sqrt(h*h+d*d);this.data[o+c]=Math.max(0,Math.min(255,p+128))}},T.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),f=Math.abs(c-l.right),h=Math.min(u,f),p=l.isDash?h:-h;this.data[o+c]=Math.max(0,Math.min(255,p+128))}},T.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce("LineAtlas out of space"),null;for(var a=0,o=0;o<e.length;o++)a+=e[o];if(0!==a){var s=this.width/a,l=this.getDashRanges(e,this.width,s);r?this.addRoundDash(l,s,n):this.addRegularDash(l)}var c={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,c},T.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))};var k=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var i=this.workerPool.acquire(this.id),a=0;a<i.length;a++){var o=i[a],s=new e.Actor(o,n,this.id);s.name="Worker "+a,this.actors.push(s)}};function A(e,r,n){var i=function(i,a){if(i)return n(i);if(a){var o=t.pick(t.extend(a,e),["tiles","minzoom","maxzoom","attribution","mapbox_logo","bounds","scheme","tileSize","encoding"]);a.vector_layers&&(o.vectorLayers=a.vector_layers,o.vectorLayerIds=o.vectorLayers.map((function(t){return t.id}))),o.tiles=r.canonicalizeTileset(o,e.url),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),i):t.browser.frame((function(){return i(null,e)}))}k.prototype.broadcast=function(e,r,n){n=n||function(){},t.asyncAll(this.actors,(function(t,n){t.send(e,r,n)}),n)},k.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},k.prototype.remove=function(){this.actors.forEach((function(t){t.remove()})),this.actors=[],this.workerPool.release(this.id)},k.Actor=t.Actor;var M=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};M.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},M.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),i=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),a=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<a&&e.y>=i&&e.y<o};var S=function(e){function r(r,n,i,a){if(e.call(this),this.id=r,this.dispatcher=i,this.type="vector",this.minzoom=0,this.maxzoom=22,this.scheme="xyz",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.extend(this,t.pick(n,["url","scheme","tileSize","promoteId"])),this._options=t.extend({type:"vector"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error("vector tile sources must have a tileSize of 512");this.setEventedParent(a)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event("dataloading",{dataType:"source"})),this._tileJSONRequest=A(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new M(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"metadata"})),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"content"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme)),i={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};function a(n,i){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(i&&i.resourceTiming&&(e.resourceTiming=i.resourceTiming),this.map._refreshExpiredTiles&&i&&e.setExpiryData(i),e.loadVectorData(i,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}i.request.collectResourceTiming=this._collectResourceTiming,e.actor&&"expired"!==e.state?"loading"===e.state?e.reloadCallback=r:e.request=e.actor.send("reloadTile",i,a.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send("loadTile",i,a.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send("abortTile",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send("removeTile",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),E=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.dispatcher=i,this.setEventedParent(a),this.type="raster",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme="xyz",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:"raster"},n),t.extend(this,t.pick(n,["url","scheme","tileSize"]))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event("dataloading",{dataType:"source"})),this._tileJSONRequest=A(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new M(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"metadata"})),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"content"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,i=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(i,t.ResourceType.Tile),(function(i,a){if(delete e.request,e.aborted)e.state="unloaded",r(null);else if(i)e.state="errored",r(i);else if(a){n.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(a.width),e.texture?e.texture.update(a,{useMipmap:!0}):(e.texture=new t.Texture(o,a,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state="loaded",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}}))},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),L=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),this.type="raster-dem",this.maxzoom=22,this._options=t.extend({type:"raster-dem"},n),this.encoding=n.encoding||"mapbox"}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.serialize=function(){return{type:"raster-dem",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);function i(t,n){t&&(e.state="errored",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state="loaded",r(null))}e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,a){if(delete e.request,e.aborted)e.state="unloaded",r(null);else if(n)e.state="errored",r(n);else if(a){this.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=t.window.ImageBitmap&&a instanceof t.window.ImageBitmap&&t.offscreenCanvasSupported()?a:t.browser.getImageData(a,1),s={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:o,encoding:this.encoding};e.actor&&"expired"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send("loadDEMTile",s,i.bind(this)))}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID)},r.prototype._getNeighboringTiles=function(e){var r=e.canonical,n=Math.pow(2,r.z),i=(r.x-1+n)%n,a=0===r.x?e.wrap-1:e.wrap,o=(r.x+1+n)%n,s=r.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state="unloaded",t.actor&&t.actor.send("removeDEMTile",{uid:t.uid,source:this.id})},r}(E),C=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.type="geojson",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=i.getActor(),this.setEventedParent(a),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution),this.promoteId=n.promoteId;var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1,generateId:n.generateId||!1},clusterProperties:n.clusterProperties},n.workerOptions)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event("dataloading",{dataType:"source"})),this._updateWorkerData((function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:"source",sourceDataType:"metadata"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event("data",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event("dataloading",{dataType:"source"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:"source",sourceDataType:"content"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event("data",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send("geojson.getClusterExpansionZoom",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send("geojson.getClusterChildren",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send("geojson.getClusterLeaves",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;"string"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+".loadData",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+".coalesce",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?"reloadTile":"loadTile";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,"reloadTile"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send("removeTile",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send("removeSource",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),P=t.createLayout([{name:"a_pos",type:"Int16",components:2},{name:"a_texture_pos",type:"Int16",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type="image",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event("dataloading",{dataType:"source"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event("data",{dataType:"source",sourceDataType:"metadata"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.x),a=Math.max(a,l.y)}var c=i-r,u=a-n,f=Math.max(c,u),h=Math.max(0,Math.floor(-Math.log(f)/Math.LN2)),p=Math.pow(2,h);return new t.CanonicalTileID(h,Math.floor((r+i)/2*p),Math.floor((n+a)/2*p))}(n),this.minzoom=this.maxzoom=this.tileID.z;var i=n.map((function(t){return r.tileID.getTilePoint(t)._round()}));return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(i[0].x,i[0].y,0,0),this._boundsArray.emplaceBack(i[1].x,i[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(i[3].x,i[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(i[2].x,i[2].y,t.EXTENT,t.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.Event("data",{dataType:"source",sourceDataType:"content"})),this},r.prototype.prepare=function(){if(0!==Object.keys(this.tiles).length&&this.image){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new t.Texture(e,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];"loaded"!==i.state&&(i.state="loaded",i.texture=this.texture)}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state="errored",e(null))},r.prototype.serialize=function(){return{type:"image",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return!1},r}(t.Evented);var O=function(e){function r(t,r,n,i){e.call(this,t,r,n,i),this.roundZoom=!0,this.type="video",this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1;var r=this.options;this.urls=[];for(var n=0,i=r.urls;n<i.length;n+=1){var a=i[n];this.urls.push(this.map._requestManager.transformRequest(a,t.ResourceType.Source).url)}t.getVideo(this.urls,(function(r,n){e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(e.video=n,e.video.loop=!0,e.video.addEventListener("playing",(function(){e.map.triggerRepaint()})),e.map&&e.video.play(),e._finishLoading())}))},r.prototype.pause=function(){this.video&&this.video.pause()},r.prototype.play=function(){this.video&&this.video.play()},r.prototype.seek=function(e){if(this.video){var r=this.video.seekable;e<r.start(0)||e>r.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError("sources."+this.id,null,"Playback for this video can be set only between the "+r.start(0)+" and "+r.end(0)+"-second mark."))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];"loaded"!==i.state&&(i.state="loaded",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:"video",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),z=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return"number"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'"coordinates" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'missing required property "coordinates"'))),n.animate&&"boolean"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'optional "animate" property must be a boolean value'))),n.canvas?"string"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'"canvas" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'missing required property "canvas"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error("Canvas dimensions cannot be less than or equal to zero."))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];"loaded"!==a.state&&(a.state="loaded",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:"canvas",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var r=e[t];if(isNaN(r)||r<=0)return!0}return!1},r}(I),D={vector:S,raster:E,"raster-dem":L,geojson:C,video:O,image:I,canvas:z};function R(e,r){var n=t.identity([]);return t.translate(n,n,[1,1,0]),t.scale(n,n,[.5*e.width,.5*e.height,1]),t.multiply(n,n,e.calculatePosMatrix(r.toUnwrapped()))}function F(t,e,r,n,i,a){var o=function(t,e,r){if(t)for(var n=0,i=t;n<i.length;n+=1){var a=e[i[n]];if(a&&a.source===r&&"fill-extrusion"===a.type)return!0}else for(var o in e){var s=e[o];if(s.source===r&&"fill-extrusion"===s.type)return!0}return!1}(i&&i.layers,e,t.id),s=a.maxPitchScaleFactor(),l=t.tilesIn(n,s,o);l.sort(B);for(var c=[],u=0,f=l;u<f.length;u+=1){var h=f[u];c.push({wrappedTileID:h.tileID.wrapped().key,queryResults:h.tile.queryRenderedFeatures(e,r,t._state,h.queryGeometry,h.cameraQueryGeometry,h.scale,i,a,s,R(t.transform,h.tileID))})}var p=function(t){for(var e={},r={},n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.queryResults,s=a.wrappedTileID,l=r[s]=r[s]||{};for(var c in o)for(var u=o[c],f=l[c]=l[c]||{},h=e[c]=e[c]||[],p=0,d=u;p<d.length;p+=1){var m=d[p];f[m.featureIndex]||(f[m.featureIndex]=!0,h.push(m))}}return e}(c);for(var d in p)p[d].forEach((function(e){var r=e.feature,n=t.getFeatureState(r.layer["source-layer"],r.id);r.source=r.layer.source,r.layer["source-layer"]&&(r.sourceLayer=r.layer["source-layer"]),r.state=n}));return p}function B(t,e){var r=t.tileID,n=e.tileID;return r.overscaledZ-n.overscaledZ||r.canonical.y-n.canonical.y||r.wrap-n.wrap||r.canonical.x-n.canonical.x}var N=function(t,e){this.max=t,this.onRemove=e,this.reset()};N.prototype.reset=function(){for(var t in this.data)for(var e=0,r=this.data[t];e<r.length;e+=1){var n=r[e];n.timeout&&clearTimeout(n.timeout),this.onRemove(n.value)}return this.data={},this.order=[],this},N.prototype.add=function(t,e,r){var n=this,i=t.wrapped().key;void 0===this.data[i]&&(this.data[i]=[]);var a={value:e,timeout:void 0};if(void 0!==r&&(a.timeout=setTimeout((function(){n.remove(t,a)}),r)),this.data[i].push(a),this.order.push(i),this.order.length>this.max){var o=this._getAndRemoveByKey(this.order[0]);o&&this.onRemove(o)}return this},N.prototype.has=function(t){return t.wrapped().key in this.data},N.prototype.getAndRemove=function(t){return this.has(t)?this._getAndRemoveByKey(t.wrapped().key):null},N.prototype._getAndRemoveByKey=function(t){var e=this.data[t].shift();return e.timeout&&clearTimeout(e.timeout),0===this.data[t].length&&delete this.data[t],this.order.splice(this.order.indexOf(t),1),e.value},N.prototype.getByKey=function(t){var e=this.data[t];return e?e[0].value:null},N.prototype.get=function(t){return this.has(t)?this.data[t.wrapped().key][0].value:null},N.prototype.remove=function(t,e){if(!this.has(t))return this;var r=t.wrapped().key,n=void 0===e?0:this.data[r].indexOf(e),i=this.data[r][n];return this.data[r].splice(n,1),i.timeout&&clearTimeout(i.timeout),0===this.data[r].length&&delete this.data[r],this.onRemove(i.value),this.order.splice(this.order.indexOf(r),1),this},N.prototype.setMaxSize=function(t){for(this.max=t;this.order.length>this.max;){var e=this._getAndRemoveByKey(this.order[0]);e&&this.onRemove(e)}return this},N.prototype.filter=function(t){var e=[];for(var r in this.data)for(var n=0,i=this.data[r];n<i.length;n+=1){var a=i[n];t(a.value)||e.push(a)}for(var o=0,s=e;o<s.length;o+=1){var l=s[o];this.remove(l.value.tileID,l)}};var j=function(t,e,r){this.context=t;var n=t.gl;this.buffer=n.createBuffer(),this.dynamicDraw=Boolean(r),this.context.unbindVAO(),t.bindElementBuffer.set(this.buffer),n.bufferData(n.ELEMENT_ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?n.DYNAMIC_DRAW:n.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer};j.prototype.bind=function(){this.context.bindElementBuffer.set(this.buffer)},j.prototype.updateData=function(t){var e=this.context.gl;this.context.unbindVAO(),this.bind(),e.bufferSubData(e.ELEMENT_ARRAY_BUFFER,0,t.arrayBuffer)},j.prototype.destroy=function(){var t=this.context.gl;this.buffer&&(t.deleteBuffer(this.buffer),delete this.buffer)};var U={Int8:"BYTE",Uint8:"UNSIGNED_BYTE",Int16:"SHORT",Uint16:"UNSIGNED_SHORT",Int32:"INT",Uint32:"UNSIGNED_INT",Float32:"FLOAT"},V=function(t,e,r,n){this.length=e.length,this.attributes=r,this.itemSize=e.bytesPerElement,this.dynamicDraw=n,this.context=t;var i=t.gl;this.buffer=i.createBuffer(),t.bindVertexBuffer.set(this.buffer),i.bufferData(i.ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?i.DYNAMIC_DRAW:i.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer};V.prototype.bind=function(){this.context.bindVertexBuffer.set(this.buffer)},V.prototype.updateData=function(t){var e=this.context.gl;this.bind(),e.bufferSubData(e.ARRAY_BUFFER,0,t.arrayBuffer)},V.prototype.enableAttributes=function(t,e){for(var r=0;r<this.attributes.length;r++){var 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At=function(t,e,r){this.func=t,this.mask=e,this.range=r};At.ReadOnly=!1,At.ReadWrite=!0,At.disabled=new At(519,At.ReadOnly,[0,1]);var Mt=function(t,e,r,n,i,a){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=i,this.pass=a};Mt.disabled=new Mt({func:519,mask:0},0,0,7680,7680,7680);var St=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};St.disabled=new St(St.Replace=[1,0],t.Color.transparent,[!1,!1,!1,!1]),St.unblended=new St(St.Replace,t.Color.transparent,[!0,!0,!0,!0]),St.alphaBlended=new St([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Et=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Et.disabled=new Et(!1,1029,2305),Et.backCCW=new Et(!0,1029,2305);var Lt=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension("OES_vertex_array_object"),this.clearColor=new q(this),this.clearDepth=new G(this),this.clearStencil=new Y(this),this.colorMask=new W(this),this.depthMask=new X(this),this.stencilMask=new Z(this),this.stencilFunc=new J(this),this.stencilOp=new K(this),this.stencilTest=new Q(this),this.depthRange=new $(this),this.depthTest=new tt(this),this.depthFunc=new et(this),this.blend=new rt(this),this.blendFunc=new nt(this),this.blendColor=new it(this),this.blendEquation=new at(this),this.cullFace=new ot(this),this.cullFaceSide=new st(this),this.frontFace=new lt(this),this.program=new ct(this),this.activeTexture=new ut(this),this.viewport=new ft(this),this.bindFramebuffer=new ht(this),this.bindRenderbuffer=new pt(this),this.bindTexture=new dt(this),this.bindVertexBuffer=new mt(this),this.bindElementBuffer=new gt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new vt(this),this.pixelStoreUnpack=new yt(this),this.pixelStoreUnpackPremultiplyAlpha=new xt(this),this.pixelStoreUnpackFlipY=new bt(this),this.extTextureFilterAnisotropic=t.getExtension("EXT_texture_filter_anisotropic")||t.getExtension("MOZ_EXT_texture_filter_anisotropic")||t.getExtension("WEBKIT_EXT_texture_filter_anisotropic"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension("OES_texture_half_float"),this.extTextureHalfFloat&&(t.getExtension("OES_texture_half_float_linear"),this.extRenderToTextureHalfFloat=t.getExtension("EXT_color_buffer_half_float")),this.extTimerQuery=t.getExtension("EXT_disjoint_timer_query")};Lt.prototype.setDefault=function(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()},Lt.prototype.setDirty=function(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.extVertexArrayObject&&(this.bindVertexArrayOES.dirty=!0),this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0},Lt.prototype.createIndexBuffer=function(t,e){return new j(this,t,e)},Lt.prototype.createVertexBuffer=function(t,e,r){return new V(this,t,e,r)},Lt.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,i=n.createRenderbuffer();return this.bindRenderbuffer.set(i),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),i},Lt.prototype.createFramebuffer=function(t,e,r){return new kt(this,t,e,r)},Lt.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,i=0;e&&(i|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(i|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(i)},Lt.prototype.setCullFace=function(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))},Lt.prototype.setDepthMode=function(t){t.func!==this.gl.ALWAYS||t.mask?(this.depthTest.set(!0),this.depthFunc.set(t.func),this.depthMask.set(t.mask),this.depthRange.set(t.range)):this.depthTest.set(!1)},Lt.prototype.setStencilMode=function(t){t.test.func!==this.gl.ALWAYS||t.mask?(this.stencilTest.set(!0),this.stencilMask.set(t.mask),this.stencilOp.set([t.fail,t.depthFail,t.pass]),this.stencilFunc.set({func:t.test.func,ref:t.ref,mask:t.test.mask})):this.stencilTest.set(!1)},Lt.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,St.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Lt.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Ct=function(e){function r(r,n,i){var a=this;e.call(this),this.id=r,this.dispatcher=i,this.on("data",(function(t){"source"===t.dataType&&"metadata"===t.sourceDataType&&(a._sourceLoaded=!0),a._sourceLoaded&&!a._paused&&"source"===t.dataType&&"content"===t.sourceDataType&&(a.reload(),a.transform&&a.update(a.transform))})),this.on("error",(function(){a._sourceErrored=!0})),this._source=function(e,r,n,i){var a=new D[r.type](e,r,n,i);if(a.id!==e)throw new Error("Expected Source id to be "+e+" instead of "+a.id);return t.bindAll(["load","abort","unload","serialize","prepare"],a),a}(r,n,i,this),this._tiles={},this._cache=new N(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;for(var t in this._tiles){var e=this._tiles[t];if("loaded"!==e.state&&"errored"!==e.state)return!1}return!0},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=!0},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,(function(){}))},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,(function(){}))},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}},r.prototype.getIds=function(){return t.values(this._tiles).map((function(t){return t.tileID})).sort(Pt).map((function(t){return t.key}))},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var i in this._tiles)this._isIdRenderable(i,e)&&n.push(this._tiles[i]);return e?n.sort((function(e,n){var i=e.tileID,a=n.tileID,o=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle),s=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle);return i.overscaledZ-a.overscaledZ||s.y-o.y||s.x-o.x})).map((function(t){return t.tileID.key})):n.map((function(t){return t.tileID})).sort(Pt).map((function(t){return t.key}))},r.prototype.hasRenderableParent=function(t){var e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)},r.prototype._isIdRenderable=function(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())},r.prototype.reload=function(){if(this._paused)this._shouldReloadOnResume=!0;else for(var t in this._cache.reset(),this._tiles)"errored"!==this._tiles[t].state&&this._reloadTile(t,"reloading")},r.prototype._reloadTile=function(t,e){var r=this._tiles[t];r&&("loading"!==r.state&&(r.state=e),this._loadTile(r,this._tileLoaded.bind(this,r,t,e)))},r.prototype._tileLoaded=function(e,r,n,i){if(i)return e.state="errored",void(404!==i.status?this._source.fire(new t.ErrorEvent(i,{tile:e})):this.update(this.transform));e.timeAdded=t.browser.now(),"expired"===n&&(e.refreshedUponExpiration=!0),this._setTileReloadTimer(r,e),"raster-dem"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._state.initializeTileState(e,this.map?this.map.painter:null),this._source.fire(new t.Event("data",{dataType:"source",tile:e,coord:e.tileID}))},r.prototype._backfillDEM=function(t){for(var e=this.getRenderableIds(),r=0;r<e.length;r++){var n=e[r];if(t.neighboringTiles&&t.neighboringTiles[n]){var i=this.getTileByID(n);a(t,i),a(i,t)}}function a(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,i=Math.pow(2,t.tileID.canonical.z),a=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n="number"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(It(this._source.type)){for(var c={},u={},f=0,h=Object.keys(l);f<h.length;f+=1){var p=h[f],d=l[p],m=this._tiles[p];if(m&&!(m.fadeEndTime&&m.fadeEndTime<=t.browser.now())){var g=this.findLoadedParent(d,o);g&&(this._addTile(g.tileID),c[g.tileID.key]=g.tileID),u[p]=d}}for(var v in this._retainLoadedChildren(u,a,s,l),c)l[v]||(this._coveredTiles[v]=!0,l[v]=c[v])}for(var y in l)this._tiles[y].clearFadeHold();for(var x=0,b=t.keysDifference(this._tiles,l);x<b.length;x+=1){var _=b[x],w=this._tiles[_];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(_)}this._updateLoadedParentTileCache()}},r.prototype.releaseSymbolFadeTiles=function(){for(var t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)},r.prototype._updateRetainedTiles=function(t,e){for(var n={},i={},a=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,c=t;l<c.length;l+=1){var u=c[l],f=this._addTile(u);n[u.key]=u,f.hasData()||e<this._source.maxzoom&&(s[u.key]=u)}this._retainLoadedChildren(s,e,o,n);for(var h=0,p=t;h<p.length;h+=1){var d=p[h],m=this._tiles[d.key];if(!m.hasData()){if(e+1>this._source.maxzoom){var g=d.children(this._source.maxzoom)[0],v=this.getTile(g);if(v&&v.hasData()){n[g.key]=g;continue}}else{var y=d.children(this._source.maxzoom);if(n[y[0].key]&&n[y[1].key]&&n[y[2].key]&&n[y[3].key])continue}for(var x=m.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(m=this.getTile(_))&&x&&(m=this._addTile(_)),m&&(n[_.key]=_,x=m.wasRequested(),m.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a<o.length;a+=1){var s=o[a];this._loadedParentTiles[s]=r}}},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event("dataloading",{tile:r,coord:r.tileID,dataType:"source"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout((function(){r._reloadTile(t,"expired"),delete r._timers[t]}),n))},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&"reloading"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),c=s.map((function(t){return o.pointCoordinate(t)})),u=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,m=0,g=c;m<g.length;m+=1){var v=g[m];f=Math.min(f,v.x),h=Math.min(h,v.y),p=Math.max(p,v.x),d=Math.max(d,v.y)}for(var y=function(e){var n=i._tiles[u[e]];if(!n.holdingForFade()){var s=n.tileID,m=Math.pow(2,o.zoom-n.tileID.overscaledZ),g=r*n.queryPadding*t.EXTENT/n.tileSize/m,v=[s.getTilePoint(new t.MercatorCoordinate(f,h)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(v[0].x-g<t.EXTENT&&v[0].y-g<t.EXTENT&&v[1].x+g>=0&&v[1].y+g>=0){var y=l.map((function(t){return s.getTilePoint(t)})),x=c.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:y,cameraQueryGeometry:x,scale:m})}}},x=0;x<u.length;x++)y(x);return a},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map((function(t){return e._tiles[t].tileID})),n=0,i=r;n<i.length;n+=1){var a=i[n];a.posMatrix=this.transform.calculatePosMatrix(a.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(It(this._source.type))for(var e in this._tiles){var r=this._tiles[e];if(void 0!==r.fadeEndTime&&r.fadeEndTime>=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||"_geojsonTileLayer",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||"_geojsonTileLayer",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||"_geojsonTileLayer",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles){this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,"reloading")}this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function Pt(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function It(t){return"raster"===t||"image"===t||"video"===t}function Ot(){return new t.window.Worker(Zi.workerUrl)}Ct.maxOverzooming=10,Ct.maxUnderzooming=3;var zt="mapboxgl_preloaded_worker_pool",Dt=function(){this.active={}};Dt.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Dt.workerCount;)this.workers.push(new Ot);return this.active[t]=!0,this.workers.slice()},Dt.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((function(t){t.terminate()})),this.workers=null)},Dt.prototype.isPreloaded=function(){return!!this.active[zt]},Dt.prototype.numActive=function(){return Object.keys(this.active).length};var Rt,Ft=Math.floor(t.browser.hardwareConcurrency/2);function Bt(){return Rt||(Rt=new Dt),Rt}function Nt(e,r){var n={};for(var i in e)"ref"!==i&&(n[i]=e[i]);return t.refProperties.forEach((function(t){t in r&&(n[t]=r[t])})),n}function jt(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)"ref"in t[n]&&(t[n]=Nt(t[n],e[t[n].ref]));return t}Dt.workerCount=Math.max(Math.min(Ft,6),1);var Ut={setStyle:"setStyle",addLayer:"addLayer",removeLayer:"removeLayer",setPaintProperty:"setPaintProperty",setLayoutProperty:"setLayoutProperty",setFilter:"setFilter",addSource:"addSource",removeSource:"removeSource",setGeoJSONSourceData:"setGeoJSONSourceData",setLayerZoomRange:"setLayerZoomRange",setLayerProperty:"setLayerProperty",setCenter:"setCenter",setZoom:"setZoom",setBearing:"setBearing",setPitch:"setPitch",setSprite:"setSprite",setGlyphs:"setGlyphs",setTransition:"setTransition",setLight:"setLight"};function Vt(t,e,r){r.push({command:Ut.addSource,args:[t,e[t]]})}function Ht(t,e,r){e.push({command:Ut.removeSource,args:[t]}),r[t]=!0}function qt(t,e,r,n){Ht(t,r,n),Vt(t,e,r)}function Gt(e,r,n){var i;for(i in e[n])if(e[n].hasOwnProperty(i)&&"data"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;for(i in r[n])if(r[n].hasOwnProperty(i)&&"data"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;return!0}function Yt(e,r,n,i,a,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}))}function Wt(t){return t.id}function Xt(t,e){return t[e.id]=e,t}function Zt(e,r){if(!e)return[{command:Ut.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:Ut.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:Ut.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:Ut.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:Ut.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:Ut.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:Ut.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:Ut.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:Ut.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:Ut.setLight,args:[r.light]});var i={},a=[];!function(e,r,n,i){var a;for(a in r=r||{},e=e||{})e.hasOwnProperty(a)&&(r.hasOwnProperty(a)||Ht(a,n,i));for(a in r)r.hasOwnProperty(a)&&(e.hasOwnProperty(a)?t.deepEqual(e[a],r[a])||("geojson"===e[a].type&&"geojson"===r[a].type&&Gt(e,r,a)?n.push({command:Ut.setGeoJSONSourceData,args:[a,r[a].data]}):qt(a,r,n,i)):Vt(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach((function(t){i[t.source]?n.push({command:Ut.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(a),function(e,r,n){r=r||[];var i,a,o,s,l,c,u,f=(e=e||[]).map(Wt),h=r.map(Wt),p=e.reduce(Xt,{}),d=r.reduce(Xt,{}),m=f.slice(),g=Object.create(null);for(i=0,a=0;i<f.length;i++)o=f[i],d.hasOwnProperty(o)?a++:(n.push({command:Ut.removeLayer,args:[o]}),m.splice(m.indexOf(o,a),1));for(i=0,a=0;i<h.length;i++)o=h[h.length-1-i],m[m.length-1-i]!==o&&(p.hasOwnProperty(o)?(n.push({command:Ut.removeLayer,args:[o]}),m.splice(m.lastIndexOf(o,m.length-a),1)):a++,c=m[m.length-i],n.push({command:Ut.addLayer,args:[d[o],c]}),m.splice(m.length-i,0,o),g[o]=!0);for(i=0;i<h.length;i++)if(s=p[o=h[i]],l=d[o],!g[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s["source-layer"],l["source-layer"])&&t.deepEqual(s.type,l.type)){for(u in Yt(s.layout,l.layout,n,o,null,Ut.setLayoutProperty),Yt(s.paint,l.paint,n,o,null,Ut.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:Ut.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:Ut.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(u)&&"layout"!==u&&"paint"!==u&&"filter"!==u&&"metadata"!==u&&"minzoom"!==u&&"maxzoom"!==u&&(0===u.indexOf("paint.")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}));for(u in l)l.hasOwnProperty(u)&&!s.hasOwnProperty(u)&&"layout"!==u&&"paint"!==u&&"filter"!==u&&"metadata"!==u&&"minzoom"!==u&&"maxzoom"!==u&&(0===u.indexOf("paint.")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}))}else n.push({command:Ut.removeLayer,args:[o]}),c=m[m.lastIndexOf(o)+1],n.push({command:Ut.addLayer,args:[l,c]})}(o,r.layers,n)}catch(t){console.warn("Unable to compute style diff:",t),n=[{command:Ut.setStyle,args:[r]}]}return n}var Jt=function(t,e){this.reset(t,e)};Jt.prototype.reset=function(t,e){this.points=t||[],this._distances=[0];for(var r=1;r<this.points.length;r++)this._distances[r]=this._distances[r-1]+this.points[r].dist(this.points[r-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(e||0,.5*this.length),this.paddedLength=this.length-2*this.padding},Jt.prototype.lerp=function(e){if(1===this.points.length)return this.points[0];e=t.clamp(e,0,1);for(var r=1,n=this._distances[r],i=e*this.paddedLength+this.padding;n<i&&r<this._distances.length;)n=this._distances[++r];var a=r-1,o=this._distances[a],s=n-o,l=s>0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Kt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a<this.xCellCount*this.yCellCount;a++)n.push([]),i.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function Qt(e,r,n,i,a){var o=t.create();return r?(t.scale(o,o,[1/a,1/a,1]),n||t.rotateZ(o,o,i.angle)):t.multiply(o,i.labelPlaneMatrix,e),o}function $t(e,r,n,i,a){if(r){var o=t.clone(e);return t.scale(o,o,[a,a,1]),n||t.rotateZ(o,o,-i.angle),o}return i.glCoordMatrix}function te(e,r){var n=[e.x,e.y,0,1];fe(n,n,r);var i=n[3];return{point:new t.Point(n[0]/i,n[1]/i),signedDistanceFromCamera:i}}function ee(t,e){return.5+t/e*.5}function re(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ne(e,r,n,i,a,o,s,l){var c=i?e.textSizeData:e.iconSizeData,u=t.evaluateSizeForZoom(c,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,m=n.transform.width/n.transform.height,g=!1,v=0;v<d.length;v++){var y=d.get(v);if(y.hidden||y.writingMode===t.WritingMode.vertical&&!g)ue(y.numGlyphs,h);else{g=!1;var x=[y.anchorX,y.anchorY,0,1];if(t.transformMat4(x,x,r),re(x,f)){var b=x[3],_=ee(n.transform.cameraToCenterDistance,b),w=t.evaluateSizeForFeature(c,u,y),T=s?w/_:w*_,k=new t.Point(y.anchorX,y.anchorY),A=te(k,a).point,M={},S=oe(y,T,!1,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,m);g=S.useVertical,(S.notEnoughRoom||g||S.needsFlipping&&oe(y,T,!0,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,m).notEnoughRoom)&&ue(y.numGlyphs,h)}else ue(y.numGlyphs,h)}}i?e.text.dynamicLayoutVertexBuffer.updateData(h):e.icon.dynamicLayoutVertexBuffer.updateData(h)}function ie(t,e,r,n,i,a,o,s,l,c,u){var f=s.glyphStartIndex+s.numGlyphs,h=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),m=e.getoffsetX(f-1),g=le(t*d,r,n,i,a,o,s.segment,h,p,l,c,u);if(!g)return null;var v=le(t*m,r,n,i,a,o,s.segment,h,p,l,c,u);return v?{first:g,last:v}:null}function ae(e,r,n,i){if(e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*i)return{useVertical:!0};return(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function oe(e,r,n,i,a,o,s,l,c,u,f,h,p,d){var m,g=r/24,v=e.lineOffsetX*g,y=e.lineOffsetY*g;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=ie(g,l,v,y,n,f,h,e,c,o,p);if(!w)return{notEnoughRoom:!0};var T=te(w.first.point,s).point,k=te(w.last.point,s).point;if(i&&!n){var A=ae(e.writingMode,T,k,d);if(A)return A}m=[w.first];for(var M=e.glyphStartIndex+1;M<x-1;M++)m.push(le(g*l.getoffsetX(M),v,y,n,f,h,e.segment,b,_,c,o,p));m.push(w.last)}else{if(i&&!n){var S=te(h,a).point,E=e.lineStartIndex+e.segment+1,L=new t.Point(c.getx(E),c.gety(E)),C=te(L,a),P=C.signedDistanceFromCamera>0?C.point:se(h,L,S,1,a),I=ae(e.writingMode,S,P,d);if(I)return I}var O=le(g*l.getoffsetX(e.glyphStartIndex),v,y,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,c,o,p);if(!O)return{notEnoughRoom:!0};m=[O]}for(var z=0,D=m;z<D.length;z+=1){var R=D[z];t.addDynamicAttributes(u,R.point,R.angle)}return{}}function se(t,e,r,n,i){var a=te(t.add(t.sub(e)._unit()),i).point,o=r.sub(a);return r.add(o._mult(n/o.mag()))}function le(e,r,n,i,a,o,s,l,c,u,f,h){var p=i?e-r:e+r,d=p>0?1:-1,m=0;i&&(d*=-1,m=Math.PI),d<0&&(m+=Math.PI);for(var g=d>0?l+s:l+s+1,v=a,y=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((g+=d)<l||g>=c)return null;if(y=v,w.push(v),void 0===(v=h[g])){var T=new t.Point(u.getx(g),u.gety(g)),k=te(T,f);if(k.signedDistanceFromCamera>0)v=h[g]=k.point;else{var A=g-d;v=se(0===x?o:new t.Point(u.getx(A),u.gety(A)),T,y,_-x+1,f)}}x+=b,b=y.dist(v)}var M=(_-x)/b,S=v.sub(y),E=S.mult(M)._add(y);E._add(S._unit()._perp()._mult(n*d));var L=m+Math.atan2(v.y-y.y,v.x-y.x);return w.push(E),{point:E,angle:L,path:w}}Kt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Kt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Kt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Kt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Kt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Kt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var c=this.circles[3*l],u=this.circles[3*l+1],f=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:c-f,y1:u-f,x2:c+f,y2:u+f})}return a?o.filter(a):o}var h={hitTest:i,seenUids:{box:{},circle:{}}};return this._forEachCell(t,e,r,n,this._queryCell,o,h,a),i?o.length>0:o},Kt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var c=[],u={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,c,u,i),n?c.length>0:c},Kt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Kt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Kt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Kt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,c=this.boxCells[i];if(null!==c)for(var u=this.bboxes,f=0,h=c;f<h.length;f+=1){var p=h[f];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=u[d+2]&&e<=u[d+3]&&r>=u[d+0]&&n>=u[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:u[d],y1:u[d+1],x2:u[d+2],y2:u[d+3]})}}}var m=this.circleCells[i];if(null!==m)for(var g=this.circles,v=0,y=m;v<y.length;v+=1){var x=y[v];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(g[b],g[b+1],g[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return a.push(!0),!0;var _=g[b],w=g[b+1],T=g[b+2];a.push({key:this.circleKeys[x],x1:_-T,y1:w-T,x2:_+T,y2:w+T})}}}},Kt.prototype._queryCellCircle=function(t,e,r,n,i,a,o,s){var l=o.circle,c=o.seenUids,u=this.boxCells[i];if(null!==u)for(var f=this.bboxes,h=0,p=u;h<p.length;h+=1){var d=p[h];if(!c.box[d]){c.box[d]=!0;var m=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,f[m+0],f[m+1],f[m+2],f[m+3])&&(!s||s(this.boxKeys[d])))return a.push(!0),!0}}var g=this.circleCells[i];if(null!==g)for(var v=this.circles,y=0,x=g;y<x.length;y+=1){var b=x[y];if(!c.circle[b]){c.circle[b]=!0;var _=3*b;if(this._circlesCollide(v[_],v[_+1],v[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return a.push(!0),!0}}},Kt.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToXCellCoord(t),c=this._convertToYCellCoord(e),u=this._convertToXCellCoord(r),f=this._convertToYCellCoord(n),h=l;h<=u;h++)for(var p=c;p<=f;p++){var d=this.xCellCount*p+h;if(i.call(this,t,e,r,n,d,a,o,s))return}},Kt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Kt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Kt.prototype._circlesCollide=function(t,e,r,n,i,a){var o=n-t,s=i-e,l=r+a;return l*l>o*o+s*s},Kt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var c=(o-i)/2,u=Math.abs(e-(i+c));if(u>c+r)return!1;if(l<=s||u<=c)return!0;var f=l-s,h=u-c;return f*f+h*h<=r*r};var ce=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function ue(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(ce,3*n)}}function fe(t,e,r){var n=e[0],i=e[1];return t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t[3]=r[3]*n+r[7]*i+r[15],t}var he=function(t,e,r){void 0===e&&(e=new Kt(t.width+200,t.height+200,25)),void 0===r&&(r=new Kt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+100,this.screenBottomBoundary=t.height+100,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function pe(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}he.prototype.placeCollisionBox=function(t,e,r,n,i){var a=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*a.perspectiveRatio,s=t.x1*o+a.point.x,l=t.y1*o+a.point.y,c=t.x2*o+a.point.x,u=t.y2*o+a.point.y;return!this.isInsideGrid(s,l,c,u)||!e&&this.grid.hitTest(s,l,c,u,i)?{box:[],offscreen:!1}:{box:[s,l,c,u],offscreen:this.isOffscreen(s,l,c,u)}},he.prototype.placeCollisionCircles=function(e,r,n,i,a,o,s,l,c,u,f,h,p){var d=[],m=new t.Point(r.anchorX,r.anchorY),g=te(m,o),v=ee(this.transform.cameraToCenterDistance,g.signedDistanceFromCamera),y=(u?a/v:a*v)/t.ONE_EM,x=te(m,s).point,b=ie(y,i,r.lineOffsetX*y,r.lineOffsetY*y,!1,x,m,r,n,s,{}),_=!1,w=!1,T=!0;if(b){for(var k=.5*h*v+p,A=new t.Point(-100,-100),M=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new Jt,E=b.first,L=b.last,C=[],P=E.path.length-1;P>=1;P--)C.push(E.path[P]);for(var I=1;I<L.path.length;I++)C.push(L.path[I]);var O=2.5*k;if(l){var z=C.map((function(t){return te(t,l)}));C=z.some((function(t){return t.signedDistanceFromCamera<=0}))?[]:z.map((function(t){return t.point}))}var D=[];if(C.length>0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B<C.length;B++)R.x=Math.min(R.x,C[B].x),R.y=Math.min(R.y,C[B].y),F.x=Math.max(F.x,C[B].x),F.y=Math.max(F.y,C[B].y);D=R.x>=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[C]:F.x<A.x||R.x>M.x||F.y<A.y||R.y>M.y?[]:t.clipLine([C],A.x,A.y,M.x,M.y)}for(var N=0,j=D;N<j.length;N+=1){var U=j[N];S.reset(U,.25*k);var V=0;V=S.length<=.5*k?1:Math.ceil(S.paddedLength/O)+1;for(var H=0;H<V;H++){var q=H/Math.max(V-1,1),G=S.lerp(q),Y=G.x+100,W=G.y+100;d.push(Y,W,k,0);var X=Y-k,Z=W-k,J=Y+k,K=W+k;if(T=T&&this.isOffscreen(X,Z,J,K),w=w||this.isInsideGrid(X,Z,J,K),!e&&this.grid.hitTestCircle(Y,W,k,f)&&(_=!0,!c))return{circles:[],offscreen:!1,collisionDetected:_}}}}return{circles:!c&&_||!w?[]:d,offscreen:T,collisionDetected:_}},he.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,i=1/0,a=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var c=l[s],u=new t.Point(c.x+100,c.y+100);n=Math.min(n,u.x),i=Math.min(i,u.y),a=Math.max(a,u.x),o=Math.max(o,u.y),r.push(u)}for(var f={},h={},p=0,d=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o));p<d.length;p+=1){var m=d[p],g=m.key;if(void 0===f[g.bucketInstanceId]&&(f[g.bucketInstanceId]={}),!f[g.bucketInstanceId][g.featureIndex]){var v=[new t.Point(m.x1,m.y1),new t.Point(m.x2,m.y1),new t.Point(m.x2,m.y2),new t.Point(m.x1,m.y2)];t.polygonIntersectsPolygon(r,v)&&(f[g.bucketInstanceId][g.featureIndex]=!0,void 0===h[g.bucketInstanceId]&&(h[g.bucketInstanceId]=[]),h[g.bucketInstanceId].push(g.featureIndex))}}return h},he.prototype.insertCollisionBox=function(t,e,r,n,i){var a={bucketInstanceId:r,featureIndex:n,collisionGroupID:i};(e?this.ignoredGrid:this.grid).insert(a,t[0],t[1],t[2],t[3])},he.prototype.insertCollisionCircles=function(t,e,r,n,i){for(var a=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:i},s=0;s<t.length;s+=4)a.insertCircle(o,t[s],t[s+1],t[s+2])},he.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var i=[r,n,0,1];return fe(i,i,e),{point:new t.Point((i[0]/i[3]+1)/2*this.transform.width+100,(-i[1]/i[3]+1)/2*this.transform.height+100),perspectiveRatio:.5+this.transform.cameraToCenterDistance/i[3]*.5}},he.prototype.isOffscreen=function(t,e,r,n){return r<100||t>=this.screenRightBoundary||n<100||e>this.screenBottomBoundary},he.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},he.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var de=function(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r};de.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var me=function(t,e,r,n,i){this.text=new de(t?t.text:null,e,r,i),this.icon=new de(t?t.icon:null,e,n,i)};me.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var ge=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},ve=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},ye=function(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i},xe=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function be(e,r,n,i,a){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,i);return new t.Point(s+c[0]*a,l+c[1]*a)}function _e(e,r,n,i,a,o){var s=e.x1,l=e.x2,c=e.y1,u=e.y2,f=e.anchorPointX,h=e.anchorPointY,p=new t.Point(r,n);return i&&p._rotate(a?o:-o),{x1:s+p.x,y1:c+p.y,x2:l+p.x,y2:u+p.y,anchorPointX:f,anchorPointY:h}}xe.prototype.get=function(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){var e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:function(t){return t.collisionGroupID===e}}}return this.collisionGroups[t]};var we=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new he(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new xe(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function Te(t,e,r,n,i){t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0)}we.prototype.getBucketParts=function(e,r,n,i){var a=n.getBucket(r),o=n.latestFeatureIndex;if(a&&o&&r.id===a.layerIds[0]){var s=n.collisionBoxArray,l=a.layers[0].layout,c=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),u=n.tileSize/t.EXTENT,f=this.transform.calculatePosMatrix(n.tileID.toUnwrapped()),h="map"===l.get("text-pitch-alignment"),p="map"===l.get("text-rotation-alignment"),d=pe(n,1,this.transform.zoom),m=Qt(f,h,p,this.transform,d),g=null;if(h){var v=$t(f,h,p,this.transform,d);g=t.multiply([],this.transform.labelPlaneMatrix,v)}this.retainedQueryData[a.bucketInstanceId]=new ye(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);var y={bucket:a,layout:l,posMatrix:f,textLabelPlaneMatrix:m,labelToScreenMatrix:g,scale:c,textPixelRatio:u,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(var x=0,b=a.sortKeyRanges;x<b.length;x+=1){var _=b[x],w=_.sortKey,T=_.symbolInstanceStart,k=_.symbolInstanceEnd;e.push({sortKey:w,symbolInstanceStart:T,symbolInstanceEnd:k,parameters:y})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:y})}},we.prototype.attemptAnchorPlacement=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d){var m,g=[f.textOffset0,f.textOffset1],v=be(t,r,n,g,i),y=this.collisionIndex.placeCollisionBox(_e(e,v.x,v.y,a,o,this.transform.angle),u,s,l,c.predicate);if(d&&0===this.collisionIndex.placeCollisionBox(_e(d,v.x,v.y,a,o,this.transform.angle),u,s,l,c.predicate).box.length)return;if(y.box.length>0)return this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(m=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:g,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:m},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:v,placedGlyphBoxes:y}},we.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,c=a.textLabelPlaneMatrix,u=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,m=a.collisionGroup,g=s.get("text-optional"),v=s.get("icon-optional"),y=s.get("text-allow-overlap"),x=s.get("icon-allow-overlap"),b="map"===s.get("text-rotation-alignment"),_="map"===s.get("text-pitch-alignment"),w="none"!==s.get("icon-text-fit"),T="viewport-y"===s.get("symbol-z-order"),k=y&&(x||!o.hasIconData()||v),A=x&&(y||!o.hasTextData()||g);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new ge(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,L={box:null,offscreen:null},C={box:null,offscreen:null},P=null,I=null,O=0,z=0,D=0;a.textFeatureIndex?O=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(O=e.featureIndex),a.verticalTextFeatureIndex&&(z=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i<s.length;i+=1){if(s[i]===t.WritingMode.vertical?(L=n(),C=L):L=r(),L&&L.box&&L.box.length)break}else L=r()};if(s.get("text-variable-anchor")){var N=s.get("text-variable-anchor");if(i.prevPlacement&&i.prevPlacement.variableOffsets[e.crossTileID]){var j=i.prevPlacement.variableOffsets[e.crossTileID];N.indexOf(j.anchor)>0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,c=e.textBoxScale,u=w&&!x?r:null,h={box:[],offscreen:!1},p=y?2*N.length:N.length,d=0;d<p;++d){var g=N[d%N.length],v=d>=N.length,k=i.attemptAnchorPlacement(g,t,a,s,c,b,_,f,l,m,v,e,o,n,u);if(k&&(h=k.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=k.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var H=i.prevPlacement.variableOffsets[e.crossTileID];H&&(i.variableOffsets[e.crossTileID]=H,i.markUsedJustification(o,H.anchor,e,V))}}else{var q=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,y,f,l,m.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return q(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?q(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),Y=t.evaluateSizeForFeature(o.textSizeData,d,G),W=s.get("text-padding"),X=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(y,G,o.lineVertexArray,o.glyphOffsetArray,Y,l,c,u,n,_,m.predicate,X,W),T=y||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(D=a.iconFeatureIndex),a.iconBox){var Z=function(t){var e=w&&E?_e(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,m.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(I=Z(a.verticalIconBox)).box.length>0:(I=Z(a.iconBox)).box.length>0,S=S&&I.offscreen}var J=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,K=v||0===e.numIconVertices;if(J||K?K?J||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(C&&C.box&&z?i.collisionIndex.insertCollisionBox(p.box,s.get("text-ignore-placement"),o.bucketInstanceId,z,m.ID):i.collisionIndex.insertCollisionBox(p.box,s.get("text-ignore-placement"),o.bucketInstanceId,O,m.ID)),M&&I&&i.collisionIndex.insertCollisionBox(I.box,s.get("icon-ignore-placement"),o.bucketInstanceId,D,m.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get("text-ignore-placement"),o.bucketInstanceId,O,m.ID),n)){var Q=o.bucketInstanceId,$=i.collisionCircleArrays[Q];void 0===$&&($=i.collisionCircleArrays[Q]=new ve);for(var tt=0;tt<P.circles.length;tt+=4)$.circles.push(P.circles[tt+0]),$.circles.push(P.circles[tt+1]),$.circles.push(P.circles[tt+2]),$.circles.push(P.collisionDetected?1:0)}i.placements[e.crossTileID]=new ge(T||k,M||A,S||o.justReloaded),r[e.crossTileID]=!0}};if(T)for(var S=o.getSortedSymbolIndexes(this.transform.angle),E=S.length-1;E>=0;--E){var L=S[E];M(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C<e.symbolInstanceEnd;C++)M(o.symbolInstances.get(C),o.collisionArrays[C]);if(n&&o.bucketInstanceId in this.collisionCircleArrays){var P=this.collisionCircleArrays[o.bucketInstanceId];t.invert(P.invProjMatrix,l),P.viewportMatrix=this.collisionIndex.getViewportMatrix()}o.justReloaded=!1},we.prototype.markUsedJustification=function(e,r,n,i){var a,o={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};a=i===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:o[t.getAnchorJustification(r)];for(var s=0,l=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];s<l.length;s+=1){var c=l[s];c>=0&&(e.text.placedSymbolArray.get(c).crossTileID=a>=0&&c!==a?0:n.crossTileID)}},we.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1){var l=s[o];e.text.placedSymbolArray.get(l).placedOrientation=i}n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=a)},we.prototype.commit=function(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;var e=this.prevPlacement,r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;var n=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],c=i[s];c?(this.opacities[s]=new me(c,n,l.text,l.icon),r=r||l.text!==c.text.placed||l.icon!==c.icon.placed):(this.opacities[s]=new me(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var u in i){var f=i[u];if(!this.opacities[u]){var h=new me(f,n,!1,!1);h.isHidden()||(this.opacities[u]=h,r=r||f.text.placed||f.icon.placed)}}for(var p in a)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=a[p]);for(var d in o)this.placedOrientations[d]||!this.opacities[d]||this.opacities[d].isHidden()||(this.placedOrientations[d]=o[d]);r?this.lastPlacementChangeTime=t:"number"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)},we.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){var a=i[n],o=a.getBucket(t);o&&a.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,a.collisionBoxArray)}},we.prototype.updateBucketOpacities=function(e,r,n){var i=this;e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexArray.clear(),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexArray.clear();var a=e.layers[0].layout,o=new me(null,0,!1,!1,!0),s=a.get("text-allow-overlap"),l=a.get("icon-allow-overlap"),c=a.get("text-variable-anchor"),u="map"===a.get("text-rotation-alignment"),f="map"===a.get("text-pitch-alignment"),h="none"!==a.get("icon-text-fit"),p=new me(null,0,s&&(l||!e.hasIconData()||a.get("icon-optional")),l&&(s||!e.hasTextData()||a.get("text-optional")),!0);!e.collisionArrays&&n&&(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData())&&e.deserializeCollisionBoxes(n);for(var d=function(t,e,r){for(var n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r)},m=function(n){var a=e.symbolInstances.get(n),s=a.numHorizontalGlyphVertices,l=a.numVerticalGlyphVertices,m=a.crossTileID,g=r[m],v=i.opacities[m];g?v=o:v||(v=p,i.opacities[m]=v),r[m]=!0;var y=s>0||l>0,x=a.numIconVertices>0,b=i.placedOrientations[a.crossTileID],_=b===t.WritingMode.vertical,w=b===t.WritingMode.horizontal||b===t.WritingMode.horizontalOnly;if(y){var T=Pe(v.text),k=_?Ie:T;d(e.text,s,k);var A=w?Ie:T;d(e.text,l,A);var M=v.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||_?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=M||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,b);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,"left",a,E),i.markUsedOrientation(e,E,a))}if(x){var L=Pe(v.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:Ie;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=v.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var I=C?Ie:L;d(e.icon,a.numVerticalIconVertices,I),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=v.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var O=e.collisionArrays[n];if(O){var z=new t.Point(0,0);if(O.textBox||O.verticalTextBox){var D=!0;if(c){var R=i.variableOffsets[m];R?(z=be(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),u&&z._rotate(f?i.transform.angle:-i.transform.angle)):D=!1}O.textBox&&Te(e.textCollisionBox.collisionVertexArray,v.text.placed,!D||_,z.x,z.y),O.verticalTextBox&&Te(e.textCollisionBox.collisionVertexArray,v.text.placed,!D||w,z.x,z.y)}var F=Boolean(!w&&O.verticalIconBox);O.iconBox&&Te(e.iconCollisionBox.collisionVertexArray,v.icon.placed,F,h?z.x:0,h?z.y:0),O.verticalIconBox&&Te(e.iconCollisionBox.collisionVertexArray,v.icon.placed,!F,h?z.x:0,h?z.y:0)}}},g=0;g<e.symbolInstances.length;g++)m(g);if(e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexBuffer&&e.iconCollisionBox.collisionVertexBuffer.updateData(e.iconCollisionBox.collisionVertexArray),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexBuffer&&e.textCollisionBox.collisionVertexBuffer.updateData(e.textCollisionBox.collisionVertexArray),e.bucketInstanceId in this.collisionCircleArrays){var v=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=v.invProjMatrix,e.placementViewportMatrix=v.viewportMatrix,e.collisionCircleArray=v.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},we.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},we.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},we.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},we.prototype.stillRecent=function(t,e){var r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t},we.prototype.setStale=function(){this.stale=!0};var ke=Math.pow(2,25),Ae=Math.pow(2,24),Me=Math.pow(2,17),Se=Math.pow(2,16),Ee=Math.pow(2,9),Le=Math.pow(2,8),Ce=Math.pow(2,1);function Pe(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*ke+e*Ae+r*Me+e*Se+r*Ee+e*Le+r*Ce+e}var Ie=0,Oe=function(t){this._sortAcrossTiles="viewport-y"!==t.layout.get("symbol-z-order")&&void 0!==t.layout.get("symbol-sort-key").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Oe.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex<t.length;){var o=t[this._currentTileIndex];if(e.getBucketParts(a,n,o,this._sortAcrossTiles),this._currentTileIndex++,i())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,a.sort((function(t,e){return t.sortKey-e.sortKey})));this._currentPartIndex<a.length;){var s=a[this._currentPartIndex];if(e.placeLayerBucketPart(s,this._seenCrossTileIDs,r),this._currentPartIndex++,i())return!0}return!1};var ze=function(t,e,r,n,i,a,o){this.placement=new we(t,i,a,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};ze.prototype.isDone=function(){return this._done},ze.prototype.continuePlacement=function(e,r,n){for(var i=this,a=t.browser.now(),o=function(){var e=t.browser.now()-a;return!i._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if("symbol"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Oe(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},ze.prototype.commit=function(t){return this.placement.commit(t),this.placement};var De=512/t.EXTENT/2,Re=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var i=e.get(n),a=i.key;this.indexedSymbolInstances[a]||(this.indexedSymbolInstances[a]=[]),this.indexedSymbolInstances[a].push({crossTileID:i.crossTileID,coord:this.getScaledCoordinates(i,t)})}};Re.prototype.getScaledCoordinates=function(e,r){var n=r.canonical.z-this.tileID.canonical.z,i=De/Math.pow(2,n);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*i),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*i)}},Re.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),i=0;i<t.length;i++){var a=t.get(i);if(!a.crossTileID){var o=this.indexedSymbolInstances[a.key];if(o)for(var s=this.getScaledCoordinates(a,e),l=0,c=o;l<c.length;l+=1){var u=c[l];if(Math.abs(u.coord.x-s.x)<=n&&Math.abs(u.coord.y-s.y)<=n&&!r[u.crossTileID]){r[u.crossTileID]=!0,a.crossTileID=u.crossTileID;break}}}}};var Fe=function(){this.maxCrossTileID=0};Fe.prototype.generate=function(){return++this.maxCrossTileID};var Be=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Be.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],i={};for(var a in n){var o=n[a];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),i[o.tileID.key]=o}this.indexes[r]=i}this.lng=t},Be.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++){e.symbolInstances.get(n).crossTileID=0}this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var i=this.usedCrossTileIDs[t.overscaledZ];for(var a in this.indexes){var o=this.indexes[a];if(Number(a)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var c=o[t.scaledTo(Number(a)).key];c&&c.findMatches(e.symbolInstances,t,i)}}for(var u=0;u<e.symbolInstances.length;u++){var f=e.symbolInstances.get(u);f.crossTileID||(f.crossTileID=r.generate(),i[f.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new Re(t,e.symbolInstances,e.bucketInstanceId),!0},Be.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,i=e.indexedSymbolInstances[r];n<i.length;n+=1){var a=i[n];delete this.usedCrossTileIDs[t][a.crossTileID]}},Be.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var i in n)t[n[i].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[i]),delete n[i],e=!0)}return e};var Ne=function(){this.layerIndexes={},this.crossTileIDs=new Fe,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Ne.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Be);var i=!1,a={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],c=l.getBucket(t);c&&t.id===c.layerIds[0]&&(c.bucketInstanceId||(c.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,c,this.crossTileIDs)&&(i=!0),a[c.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i},Ne.prototype.pruneUnusedLayers=function(t){var e={};for(var r in t.forEach((function(t){e[t]=!0})),this.layerIndexes)e[r]||delete this.layerIndexes[r]};var je=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return"source.canvas"!==t.identifier})))},Ue=t.pick(Ut,["addLayer","removeLayer","setPaintProperty","setLayoutProperty","setFilter","addSource","removeSource","setLayerZoomRange","setLight","setTransition","setGeoJSONSourceData"]),Ve=t.pick(Ut,["setCenter","setZoom","setBearing","setPitch"]),He=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var i=t.styleSpec.$root[n];if(i.required){var a=null;null!=(a="version"===n?r:"array"===i.type?[]:{})&&(e[n]=a)}}return e}(),qe=function(e){function r(n,i){var a=this;void 0===i&&(i={}),e.call(this),this.map=n,this.dispatcher=new k(Bt(),this),this.imageManager=new h,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,i.localIdeographFontFamily),this.lineAtlas=new T(256,512),this.crossTileSymbolIndex=new Ne,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast("setReferrer",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginStateChange((function(e){var r={pluginStatus:e.pluginStatus,pluginURL:e.pluginURL};o.dispatcher.broadcast("syncRTLPluginState",r,(function(e,r){if((t.triggerPluginCompletionEvent(e),r)&&r.every((function(t){return t})))for(var n in o.sourceCaches)o.sourceCaches[n].reload()}))})),this.on("data",(function(t){if("source"===t.dataType&&"metadata"===t.sourceDataType){var e=a.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in a._layers){var i=a._layers[n];i.source===r.id&&a._validateLayer(i)}}}}))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event("dataloading",{dataType:"style"}));var i="boolean"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var a=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(a,(function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,i)}))},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event("dataloading",{dataType:"style"})),this._request=t.browser.frame((function(){n._request=null,n._load(e,!1!==r.validate)}))},r.prototype.loadEmpty=function(){this.fire(new t.Event("dataloading",{dataType:"style"})),this._load(He,!1)},r.prototype._load=function(e,r){if(!r||!je(this,t.validateStyle(e))){for(var n in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(n,e.sources[n],{validate:!1});e.sprite?this._loadSprite(e.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var i=jt(this.stylesheet.layers);this._order=i.map((function(t){return t.id})),this._layers={},this._serializedLayers={};for(var a=0,o=i;a<o.length;a+=1){var s=o[a];(s=t.createStyleLayer(s)).setEventedParent(this,{layer:{id:s.id}}),this._layers[s.id]=s,this._serializedLayers[s.id]=s.serialize()}this.dispatcher.broadcast("setLayers",this._serializeLayers(this._order)),this.light=new w(this.stylesheet.light),this.fire(new t.Event("data",{dataType:"style"})),this.fire(new t.Event("style.load"))}},r.prototype._loadSprite=function(e){var r=this;this._spriteRequest=function(e,r,n){var i,a,o,s=t.browser.devicePixelRatio>1?"@2x":"",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,".json"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,u())})),c=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,".png"),t.ResourceType.SpriteImage),(function(t,e){c=null,o||(o=t,a=e,u())}));function u(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],c=l.width,u=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,m=l.stretchX,g=l.stretchY,v=l.content,y=new t.RGBAImage({width:c,height:u});t.RGBAImage.copy(e,y,{x:f,y:h},{x:0,y:0},{width:c,height:u}),r[s]={data:y,pixelRatio:d,sdf:p,stretchX:m,stretchY:g,content:v}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),c&&(c.cancel(),c=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast("setImages",r._availableImages),r.fire(new t.Event("data",{dataType:"style"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();("geojson"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer "'+n+'" does not exist on source "'+i.id+'" as specified by style layer "'+e.id+'"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=this._layers[i];"custom"!==a.type&&e.push(a.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error("Style is not done loading")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),i=Object.keys(this._removedLayers);for(var a in(n.length||i.length)&&this._updateWorkerLayers(n,i),this._updatedSources){var o=this._updatedSources[a];"reload"===o?this._reloadSource(a):"clear"===o&&this._clearSource(a)}for(var s in this._updateTilesForChangedImages(),this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}for(var l in this.sourceCaches)this.sourceCaches[l].used=!1;for(var c=0,u=this._order;c<u.length;c+=1){var f=u[c],h=this._layers[f];h.recalculate(e,this._availableImages),!h.isHidden(e.zoom)&&h.source&&(this.sourceCaches[h.source].used=!0)}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event("data",{dataType:"style"}))}},r.prototype._updateTilesForChangedImages=function(){var t=Object.keys(this._changedImages);if(t.length){for(var e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies(["icons","patterns"],t);this._changedImages={}}},r.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast("updateLayers",{layers:this._serializeLayers(t),removedIds:e})},r.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),je(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=jt(e.layers);var n=Zt(this.serialize(),e).filter((function(t){return!(t.command in Ve)}));if(0===n.length)return!1;var i=n.filter((function(t){return!(t.command in Ue)}));if(i.length>0)throw new Error("Unimplemented: "+i.map((function(t){return t.command})).join(", ")+".");return n.forEach((function(t){"setTransition"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error("An image with this name already exists.")));this.imageManager.addImage(e,r),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event("data",{dataType:"style"}))},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error("No image with this name exists.")));this.imageManager.removeImage(e),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event("data",{dataType:"style"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error("There is already a source with this ID");if(!r.type)throw new Error("The type property must be defined, but the only the following properties were given: "+Object.keys(r).join(", ")+".");if(!(["vector","raster","geojson","video","image"].indexOf(r.type)>=0)||!this._validate(t.validateStyle.source,"sources."+e,r,null,n)){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Ct(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error("There is no source with this ID");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source "'+e+'" cannot be removed while layer "'+r+'" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event("data",{sourceDataType:"metadata",dataType:"source",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id "'+i+'" already exists on this map')));else{var a;if("custom"===e.type){if(je(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if("object"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,"layers."+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id "'+r+'" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&"custom"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]="clear":(this._updatedSources[a.source]="reload",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id "'+r+'" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be moved.")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be removed.")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot have zoom extent.")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,"layers."+i.id+".filter",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be filtered.")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be styled.")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style.")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be styled.")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;"geojson"===o&&i?this.fire(new t.ErrorEvent(new Error("GeoJSON sources cannot have a sourceLayer parameter."))):"vector"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error("The feature id parameter must be provided."))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+n+"' does not exist in the map's style.")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o="vector"===a?e.sourceLayer:void 0;"vector"!==a||o?r&&"string"!=typeof e.id&&"number"!=typeof e.id?this.fire(new t.ErrorEvent(new Error("A feature id is requred to remove its specific state property."))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+n+"' does not exist in the map's style.")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if("vector"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error("The feature id parameter must be provided."))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+r+"' does not exist in the map's style.")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&"raster"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]="reload",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return"fill-extrusion"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s<l.length;s+=1){var c=l[s][o];if(c)for(var u=0,f=c;u<f.length;u+=1){var h=f[u];i.push(h)}}}}i.sort((function(t,e){return e.intersectionZ-t.intersectionZ}));for(var p=[],d=this._order.length-1;d>=0;d--){var m=this._order[d];if(r(m))for(var g=i.length-1;g>=0;g--){var v=i[g].feature;if(n[v.layer.id]<d)break;p.push(v),i.pop()}else for(var y=0,x=t;y<x.length;y+=1){var b=x[y][m];if(b)for(var _=0,w=b;_<w.length;_+=1){var T=w[_];p.push(T.feature)}}}return p},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,"queryRenderedFeatures.filter",r.filter,null,r);var i={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new t.ErrorEvent(new Error("parameters.layers must be an Array."))),[];for(var a=0,o=r.layers;a<o.length;a+=1){var s=o[a],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error("The layer '"+s+"' does not exist in the map's style and cannot be queried for features."))),[];i[l.source]=!0}}var c=[];for(var u in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!i[u]||c.push(F(this.sourceCaches[u],this._layers,this._serializedLayers,e,r,n));return this.placement&&c.push(function(t,e,r,n,i,a,o){for(var s={},l=a.queryRenderedSymbols(n),c=[],u=0,f=Object.keys(l).map(Number);u<f.length;u+=1){var h=f[u];c.push(o[h])}c.sort(B);for(var p=function(){var r=m[d],n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,i.filter,i.layers,i.availableImages,t);for(var a in n){var o=s[a]=s[a]||[],c=n[a];c.sort((function(t,e){var n=r.featureSortOrder;if(n){var i=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-i}return e.featureIndex-t.featureIndex}));for(var u=0,f=c;u<f.length;u+=1){var h=f[u];o.push(h)}}},d=0,m=c;d<m.length;d+=1)p();var g=function(e){s[e].forEach((function(n){var i=n.feature,a=t[e],o=r[a.source].getFeatureState(i.layer["source-layer"],i.id);i.source=i.layer.source,i.layer["source-layer"]&&(i.sourceLayer=i.layer["source-layer"]),i.state=o}))};for(var v in s)g(v);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(c)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,"querySourceFeatures.filter",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map((function(e){return t.getTileByID(e)})),n=[],i={},a=0;a<r.length;a++){var o=r[a],s=o.tileID.canonical.key;i[s]||(i[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called "'+t+'" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast("loadWorkerSource",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),i=!1;for(var a in e)if(!t.deepEqual(e[a],n[a])){i=!0;break}if(i){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,i,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&je(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},i)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off("pluginStateChange",this._rtlTextPluginCallback),this._layers){this._layers[e].setEventedParent(null)}for(var r in this.sourceCaches)this.sourceCaches[r].clearTiles(),this.sourceCaches[r].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,i,a){void 0===a&&(a=!1);for(var o=!1,s=!1,l={},c=0,u=this._order;c<u.length;c+=1){var f=u[c],h=this._layers[f];if("symbol"===h.type){if(!l[h.source]){var p=this.sourceCaches[h.source];l[h.source]=p.getRenderableIds(!0).map((function(t){return p.getTileByID(t)})).sort((function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)}))}var d=this.crossTileSymbolIndex.addLayer(h,l[h.source],e.center.lng);o=o||d}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((a=a||this._layerOrderChanged||0===n)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now(),e.zoom))&&(this.pauseablePlacement=new ze(e,this._order,a,r,n,i,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(var m=0,g=this._order;m<g.length;m+=1){var v=g[m],y=this._layers[v];"symbol"===y.type&&this.placement.updateLayerOpacities(y,l[y.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(t.browser.now())},r.prototype._releaseSymbolFadeTiles=function(){for(var t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()},r.prototype.getImages=function(t,e,r){this.imageManager.getImages(e.icons,r),this._updateTilesForChangedImages();var n=this.sourceCaches[e.source];n&&n.setDependencies(e.tileID.key,e.type,e.icons)},r.prototype.getGlyphs=function(t,e,r){this.glyphManager.getGlyphs(e.stacks,r)},r.prototype.getResource=function(e,r,n){return t.makeRequest(r,n)},r}(t.Evented);qe.getSourceType=function(t){return D[t]},qe.setSourceType=function(t,e){D[t]=e},qe.registerForPluginStateChange=t.registerForPluginStateChange;var Ge=t.createLayout([{name:"a_pos",type:"Int16",components:2}]),Ye=yr("#ifdef GL_ES\nprecision mediump float;\n#else\n#if !defined(lowp)\n#define lowp\n#endif\n#if !defined(mediump)\n#define mediump\n#endif\n#if !defined(highp)\n#define highp\n#endif\n#endif","#ifdef GL_ES\nprecision highp float;\n#else\n#if !defined(lowp)\n#define lowp\n#endif\n#if !defined(mediump)\n#define mediump\n#endif\n#if !defined(highp)\n#define highp\n#endif\n#endif\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}"),We=yr("uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}"),Xe=yr("uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}"),Ze=yr("varying vec3 v_data;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define mediump float radius\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define highp vec4 stroke_color\n#pragma mapbox: define mediump float stroke_width\n#pragma mapbox: define lowp float stroke_opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize mediump float radius\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize highp vec4 stroke_color\n#pragma mapbox: initialize mediump float stroke_width\n#pragma mapbox: initialize lowp float stroke_opacity\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define mediump float radius\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define highp vec4 stroke_color\n#pragma mapbox: define mediump float stroke_width\n#pragma mapbox: define lowp float stroke_opacity\nvoid main(void) {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize mediump float radius\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize highp vec4 stroke_color\n#pragma mapbox: initialize mediump float stroke_width\n#pragma mapbox: initialize lowp float stroke_opacity\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}"),Je=yr("void main() {gl_FragColor=vec4(1.0);}","attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}"),Ke=yr("uniform highp float u_intensity;varying vec2 v_extrude;\n#pragma mapbox: define highp float weight\n#define GAUSS_COEF 0.3989422804014327\nvoid main() {\n#pragma mapbox: initialize highp float weight\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\n#pragma mapbox: define highp float weight\n#pragma mapbox: define mediump float radius\nconst highp float ZERO=1.0/255.0/16.0;\n#define GAUSS_COEF 0.3989422804014327\nvoid main(void) {\n#pragma mapbox: initialize highp float weight\n#pragma mapbox: initialize mediump float radius\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}"),Qe=yr("uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(0.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}"),$e=yr("varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}","attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}"),tr=yr("varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}","attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}"),er=yr("uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}","attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}"),rr=yr("#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float opacity\ngl_FragColor=color*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","attribute vec2 a_pos;uniform mat4 u_matrix;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float opacity\ngl_Position=u_matrix*vec4(a_pos,0,1);}"),nr=yr("varying vec2 v_pos;\n#pragma mapbox: define highp vec4 outline_color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 outline_color\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\n#pragma mapbox: define highp vec4 outline_color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 outline_color\n#pragma mapbox: initialize lowp float opacity\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}"),ir=yr("uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}"),ar=yr("uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}"),or=yr("varying vec4 v_color;void main() {gl_FragColor=v_color;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\n#pragma mapbox: define highp float base\n#pragma mapbox: define highp float height\n#pragma mapbox: define highp vec4 color\nvoid main() {\n#pragma mapbox: initialize highp float base\n#pragma mapbox: initialize highp float height\n#pragma mapbox: initialize highp vec4 color\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}"),sr=yr("uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n#pragma mapbox: define lowp float base\n#pragma mapbox: define lowp float height\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float base\n#pragma mapbox: initialize lowp float height\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n#pragma mapbox: define lowp float base\n#pragma mapbox: define lowp float height\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float base\n#pragma mapbox: initialize lowp float height\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\n? a_pos\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}"),lr=yr("#ifdef GL_ES\nprecision highp float;\n#endif\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform float u_maxzoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggeration=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/ pow(2.0,(u_zoom-u_maxzoom)*exaggeration+19.2562-u_zoom);gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}"),cr=yr("uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\n#define PI 3.141592653589793\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}"),ur=yr("uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}"),fr=yr("uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp float v_lineprogress;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,vec2(v_lineprogress,0.5));gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define MAX_LINE_DISTANCE 32767.0\n#define scale 0.015873016\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_lineprogress;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_lineprogress=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0/MAX_LINE_DISTANCE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}"),hr=yr("uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\n#define LINE_DISTANCE_SCALE 2.0\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}"),pr=yr("uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\n#define LINE_DISTANCE_SCALE 2.0\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}"),dr=yr("uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}"),mr=yr("uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}"),gr=yr("#define SDF_PX 8.0\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}"),vr=yr("#define SDF_PX 8.0\n#define SDF 1.0\n#define ICON 0.0\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}");function yr(t,e){var r=/#pragma mapbox: ([\w]+) ([\w]+) ([\w]+) ([\w]+)/g,n={};return{fragmentSource:t=t.replace(r,(function(t,e,r,i,a){return n[a]=!0,"define"===e?"\n#ifndef HAS_UNIFORM_u_"+a+"\nvarying "+r+" "+i+" "+a+";\n#else\nuniform "+r+" "+i+" u_"+a+";\n#endif\n":"\n#ifdef HAS_UNIFORM_u_"+a+"\n    "+r+" "+i+" "+a+" = u_"+a+";\n#endif\n"})),vertexSource:e=e.replace(r,(function(t,e,r,i,a){var o="float"===i?"vec2":"vec4",s=a.match(/color/)?"color":o;return n[a]?"define"===e?"\n#ifndef HAS_UNIFORM_u_"+a+"\nuniform lowp float u_"+a+"_t;\nattribute "+r+" "+o+" a_"+a+";\nvarying "+r+" "+i+" "+a+";\n#else\nuniform "+r+" "+i+" u_"+a+";\n#endif\n":"vec4"===s?"\n#ifndef HAS_UNIFORM_u_"+a+"\n    "+a+" = a_"+a+";\n#else\n    "+r+" "+i+" "+a+" = u_"+a+";\n#endif\n":"\n#ifndef HAS_UNIFORM_u_"+a+"\n    "+a+" = unpack_mix_"+s+"(a_"+a+", u_"+a+"_t);\n#else\n    "+r+" "+i+" "+a+" = u_"+a+";\n#endif\n":"define"===e?"\n#ifndef HAS_UNIFORM_u_"+a+"\nuniform lowp float u_"+a+"_t;\nattribute "+r+" "+o+" a_"+a+";\n#else\nuniform "+r+" "+i+" u_"+a+";\n#endif\n":"vec4"===s?"\n#ifndef HAS_UNIFORM_u_"+a+"\n    "+r+" "+i+" "+a+" = a_"+a+";\n#else\n    "+r+" "+i+" "+a+" = u_"+a+";\n#endif\n":"\n#ifndef HAS_UNIFORM_u_"+a+"\n    "+r+" "+i+" "+a+" = unpack_mix_"+s+"(a_"+a+", u_"+a+"_t);\n#else\n    "+r+" "+i+" "+a+" = u_"+a+";\n#endif\n"}))}}var xr=Object.freeze({__proto__:null,prelude:Ye,background:We,backgroundPattern:Xe,circle:Ze,clippingMask:Je,heatmap:Ke,heatmapTexture:Qe,collisionBox:$e,collisionCircle:tr,debug:er,fill:rr,fillOutline:nr,fillOutlinePattern:ir,fillPattern:ar,fillExtrusion:or,fillExtrusionPattern:sr,hillshadePrepare:lr,hillshade:cr,line:ur,lineGradient:fr,linePattern:hr,lineSDF:pr,raster:dr,symbolIcon:mr,symbolSDF:gr,symbolTextAndIcon:vr}),br=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};br.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,c=0;!l&&c<n.length;c++)this.boundPaintVertexBuffers[c]!==n[c]&&(l=!0);var u=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||l||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||u?this.freshBind(e,r,n,i,a,o,s):(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind())},br.prototype.freshBind=function(t,e,r,n,i,a,o){var s,l=t.numAttributes,c=this.context,u=c.gl;if(c.extVertexArrayObject)this.vao&&this.destroy(),this.vao=c.extVertexArrayObject.createVertexArrayOES(),c.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=i,this.boundDynamicVertexBuffer=a,this.boundDynamicVertexBuffer2=o;else{s=c.currentNumAttributes||0;for(var f=l;f<s;f++)u.disableVertexAttribArray(f)}e.enableAttributes(u,t);for(var h=0,p=r;h<p.length;h+=1){p[h].enableAttributes(u,t)}a&&a.enableAttributes(u,t),o&&o.enableAttributes(u,t),e.bind(),e.setVertexAttribPointers(u,t,i);for(var d=0,m=r;d<m.length;d+=1){var g=m[d];g.bind(),g.setVertexAttribPointers(u,t,i)}a&&(a.bind(),a.setVertexAttribPointers(u,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(u,t,i)),c.currentNumAttributes=l},br.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var _r=function(t,e,r,n,i){var a=t.gl;this.program=a.createProgram();var o=r?r.defines():[];i&&o.push("#define OVERDRAW_INSPECTOR;");var s=o.concat(Ye.fragmentSource,e.fragmentSource).join("\n"),l=o.concat(Ye.vertexSource,e.vertexSource).join("\n"),c=a.createShader(a.FRAGMENT_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(c,s),a.compileShader(c),a.attachShader(this.program,c);var u=a.createShader(a.VERTEX_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(u,l),a.compileShader(u),a.attachShader(this.program,u);for(var f=r?r.layoutAttributes:[],h=0;h<f.length;h++)a.bindAttribLocation(this.program,h,f[h].name);a.linkProgram(this.program),a.deleteShader(u),a.deleteShader(c),this.numAttributes=a.getProgramParameter(this.program,a.ACTIVE_ATTRIBUTES),this.attributes={};for(var p={},d=0;d<this.numAttributes;d++){var m=a.getActiveAttrib(this.program,d);m&&(this.attributes[m.name]=a.getAttribLocation(this.program,m.name))}for(var g=a.getProgramParameter(this.program,a.ACTIVE_UNIFORMS),v=0;v<g;v++){var y=a.getActiveUniform(this.program,v);y&&(p[y.name]=a.getUniformLocation(this.program,y.name))}this.fixedUniforms=n(t,p),this.binderUniforms=r?r.getUniforms(t,p):[]}}};function wr(t,e,r){var n=1/pe(r,1,e.transform.tileZoom),i=Math.pow(2,r.tileID.overscaledZ),a=r.tileSize*Math.pow(2,e.transform.tileZoom)/i,o=a*(r.tileID.canonical.x+r.tileID.wrap*i),s=a*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}_r.prototype.draw=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m){var g,v=t.gl;if(!this.failedToCreate){for(var y in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[y].set(o[y]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(g={},g[v.LINES]=2,g[v.TRIANGLES]=3,g[v.LINE_STRIP]=1,g)[e],b=0,_=u.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new br)).bind(t,this,l,p?p.getPaintVertexBuffers():[],c,w.vertexOffset,d,m),v.drawElements(e,w.primitiveLength*x,v.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Tr=function(e,r,n,i){var a=r.style.light,o=a.properties.get("position"),s=[o.x,o.y,o.z],l=t.create$1();"viewport"===a.properties.get("anchor")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var c=a.properties.get("color");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get("intensity"),u_lightcolor:[c.r,c.g,c.b],u_vertical_gradient:+n,u_opacity:i}},kr=function(e,r,n,i,a,o,s){return t.extend(Tr(e,r,n,i),wr(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Ar=function(t){return{u_matrix:t}},Mr=function(e,r,n,i){return t.extend(Ar(e),wr(n,r,i))},Sr=function(t,e){return{u_matrix:t,u_world:e}},Er=function(e,r,n,i,a){return t.extend(Mr(e,r,n,i),{u_world:a})},Lr=function(e,r,n,i){var a,o,s=e.transform;if("map"===i.paint.get("circle-pitch-alignment")){var l=pe(n,1,s.zoom);a=!0,o=[l,l]}else 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o=e.transform,s=e.lineAtlas,l=jr(r,o),c="round"===n.layout.get("line-cap"),u=s.getDash(i.from,c),f=s.getDash(i.to,c),h=u.width*a.fromScale,p=f.width*a.toScale;return t.extend(Rr(e,r,n),{u_patternscale_a:[l/h,-u.height/2],u_patternscale_b:[l/p,-f.height/2],u_sdfgamma:s.width/(256*Math.min(h,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:u.y,u_tex_y_b:f.y,u_mix:a.t})};function jr(t,e){return 1/pe(t,1,e.tileZoom)}function Ur(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get("line-translate"),r.paint.get("line-translate-anchor"))}var Vr=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get("raster-opacity"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get("raster-brightness-min"),u_brightness_high:i.paint.get("raster-brightness-max"),u_saturation_factor:(o=i.paint.get("raster-saturation"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get("raster-contrast"),a>0?1/(1-a):1+a),u_spin_weights:Hr(i.paint.get("raster-hue-rotate"))};var a,o};function Hr(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var qr,Gr=function(t,e,r,n,i,a,o,s,l,c){var u=i.transform;return{u_is_size_zoom_constant:+("constant"===t||"source"===t),u_is_size_feature_constant:+("constant"===t||"camera"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:u.cameraToCenterDistance,u_pitch:u.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:u.width/u.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:c,u_texture:0}},Yr=function(e,r,n,i,a,o,s,l,c,u,f){var h=a.transform;return t.extend(Gr(e,r,n,i,a,o,s,l,c,u),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},Wr=function(e,r,n,i,a,o,s,l,c,u){return t.extend(Yr(e,r,n,i,a,o,s,l,!0,c,!0),{u_texsize_icon:u,u_texture_icon:1})},Xr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},Zr=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,c=Math.pow(2,n.tileID.overscaledZ),u=n.tileSize*Math.pow(2,r.transform.tileZoom)/c,f=u*(n.tileID.canonical.x+n.tileID.wrap*c),h=u*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/pe(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},Jr={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_maxzoom:new t.Uniform1f(e,r.u_maxzoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function Kr(e,r,n,i,a,o,s){for(var l=e.context,c=l.gl,u=e.useProgram("collisionBox"),f=[],h=0,p=0,d=0;d<i.length;d++){var m=i[d],g=r.getTile(m),v=g.getBucket(n);if(v){var y=m.posMatrix;0===a[0]&&0===a[1]||(y=e.translatePosMatrix(m.posMatrix,g,a,o));var x=s?v.textCollisionBox:v.iconCollisionBox,b=v.collisionCircleArray;if(b.length>0){var _=t.create(),w=y;t.mul(_,v.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,v.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&u.draw(l,c.LINES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,Cr(y,e.transform,g),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram("collisionCircle"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var A=0,M=0,S=f;M<S.length;M+=1)for(var E=S[M],L=0;L<E.circleArray.length/4;L++){var C=4*L,P=E.circleArray[C+0],I=E.circleArray[C+1],O=E.circleArray[C+2],z=E.circleArray[C+3];k.emplace(A++,P,I,O,z,0),k.emplace(A++,P,I,O,z,1),k.emplace(A++,P,I,O,z,2),k.emplace(A++,P,I,O,z,3)}(!qr||qr.length<2*h)&&(qr=function(e){var r=2*e,n=new t.StructArrayLayout3ui6;n.resize(r),n._trim();for(var i=0;i<r;i++){var a=6*i;n.uint16[a+0]=4*i+0,n.uint16[a+1]=4*i+1,n.uint16[a+2]=4*i+2,n.uint16[a+3]=4*i+2,n.uint16[a+4]=4*i+3,n.uint16[a+5]=4*i+0}return n}(h));for(var D=l.createIndexBuffer(qr,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=f;F<B.length;F+=1){var N=B[F],j=Pr(N.transform,N.invTransform,e.transform);T.draw(l,c.TRIANGLES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,j,n.id,R,D,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),D.destroy()}}var Qr=t.identity(new Float32Array(16));function $r(e,r,n,i,a,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,c=-(s.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,i);return new t.Point((l/a+u[0])*o,(c/a+u[1])*o)}function tn(e,r,n,i,a,o,s,l,c,u,f){var h=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,m={};p.clear();for(var g=0;g<h.length;g++){var v=h.get(g),y=e.allowVerticalPlacement&&!v.placedOrientation,x=v.hidden||!v.crossTileID||y?null:i[v.crossTileID];if(x){var b=new t.Point(v.anchorX,v.anchorY),_=te(b,n?l:s),w=ee(o.cameraToCenterDistance,_.signedDistanceFromCamera),T=a.evaluateSizeForFeature(e.textSizeData,u,v)*w/t.ONE_EM;n&&(T*=e.tilePixelRatio/c);for(var k=x.width,A=x.height,M=$r(x.anchor,k,A,x.textOffset,x.textBoxScale,T),S=n?te(b.add(M),s).point:_.point.add(r?M.rotate(-o.angle):M),E=e.allowVerticalPlacement&&v.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,L=0;L<v.numGlyphs;L++)t.addDynamicAttributes(p,S,E);f&&v.associatedIconIndex>=0&&(m[v.associatedIconIndex]={shiftedAnchor:S,angle:E})}else ue(v.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P<C.length;P++){var I=C.get(P);if(I.hidden)ue(I.numGlyphs,d);else{var O=m[P];if(O)for(var z=0;z<I.numGlyphs;z++)t.addDynamicAttributes(d,O.shiftedAnchor,O.angle);else ue(I.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function en(t,e,r){return r.iconsInText&&e?"symbolTextAndIcon":t?"symbolSDF":"symbolIcon"}function rn(e,r,n,i,a,o,s,l,c,u,f,h){for(var p=e.context,d=p.gl,m=e.transform,g="map"===l,v="map"===c,y=g&&"point"!==n.layout.get("symbol-placement"),x=g&&!v&&!y,b=void 0!==n.layout.get("symbol-sort-key").constantOr(1),_=e.depthModeForSublayer(0,At.ReadOnly),w=n.layout.get("text-variable-anchor"),T=[],k=0,A=i;k<A.length;k+=1){var M=A[k],S=r.getTile(M),E=S.getBucket(n);if(E){var L=a?E.text:E.icon;if(L&&L.segments.get().length){var C=L.programConfigurations.get(n.id),P=a||E.sdfIcons,I=a?E.textSizeData:E.iconSizeData,O=v||0!==m.pitch,z=e.useProgram(en(P,a,E),C),D=t.evaluateSizeForZoom(I,m.zoom),R=void 0,F=[0,0],B=void 0,N=void 0,j=null,U=void 0;if(a){if(B=S.glyphAtlasTexture,N=d.LINEAR,R=S.glyphAtlasTexture.size,E.iconsInText){F=S.imageAtlasTexture.size,j=S.imageAtlasTexture;var 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rt=et[tt];T.push({segments:new t.SegmentVector([rt]),sortKey:rt.sortKey,state:$})}else T.push({segments:L.segments,sortKey:0,state:$})}}}b&&T.sort((function(t,e){return t.sortKey-e.sortKey}));for(var nt=0,it=T;nt<it.length;nt+=1){var at=it[nt],ot=at.state;if(p.activeTexture.set(d.TEXTURE0),ot.atlasTexture.bind(ot.atlasInterpolation,d.CLAMP_TO_EDGE),ot.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),ot.atlasTextureIcon&&ot.atlasTextureIcon.bind(ot.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),ot.isSDF){var st=ot.uniformValues;ot.hasHalo&&(st.u_is_halo=1,nn(ot.buffers,at.segments,n,e,ot.program,_,f,h,st)),st.u_is_halo=0}nn(ot.buffers,at.segments,n,e,ot.program,_,f,h,ot.uniformValues)}}function nn(t,e,r,n,i,a,o,s,l){var c=n.context,u=c.gl;i.draw(c,u.TRIANGLES,a,o,s,Et.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function an(t,e,r,n,i,a,o){var s,l,c,u,f,h=t.context.gl,p=r.paint.get("fill-pattern"),d=p&&p.constantOr(1),m=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty("fill-outline-color")?"fillOutlinePattern":"fillOutline",s=h.LINES):(l=d?"fillPattern":"fill",s=h.TRIANGLES);for(var g=0,v=n;g<v.length;g+=1){var y=v[g],x=e.getTile(y);if(!d||x.patternsLoaded()){var b=x.getBucket(r);if(b){var _=b.programConfigurations.get(r.id),w=t.useProgram(l,_);d&&(t.context.activeTexture.set(h.TEXTURE0),x.imageAtlasTexture.bind(h.LINEAR,h.CLAMP_TO_EDGE),_.updatePaintBuffers(m));var T=p.constantOr(null);if(T&&x.imageAtlas){var k=x.imageAtlas,A=k.patternPositions[T.to.toString()],M=k.patternPositions[T.from.toString()];A&&M&&_.setConstantPatternPositions(A,M)}var S=t.translatePosMatrix(y.posMatrix,x,r.paint.get("fill-translate"),r.paint.get("fill-translate-anchor"));if(o){u=b.indexBuffer2,f=b.segments2;var E=[h.drawingBufferWidth,h.drawingBufferHeight];c="fillOutlinePattern"===l&&d?Er(S,t,m,x,E):Sr(S,E)}else u=b.indexBuffer,f=b.segments,c=d?Mr(S,t,m,x):Ar(S);w.draw(t.context,s,i,t.stencilModeForClipping(y),a,Et.disabled,c,r.id,b.layoutVertexBuffer,u,f,r.paint,t.transform.zoom,_)}}}}function on(t,e,r,n,i,a,o){for(var s=t.context,l=s.gl,c=r.paint.get("fill-extrusion-pattern"),u=c.constantOr(1),f=r.getCrossfadeParameters(),h=r.paint.get("fill-extrusion-opacity"),p=0,d=n;p<d.length;p+=1){var m=d[p],g=e.getTile(m),v=g.getBucket(r);if(v){var y=v.programConfigurations.get(r.id),x=t.useProgram(u?"fillExtrusionPattern":"fillExtrusion",y);u&&(t.context.activeTexture.set(l.TEXTURE0),g.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),y.updatePaintBuffers(f));var b=c.constantOr(null);if(b&&g.imageAtlas){var _=g.imageAtlas,w=_.patternPositions[b.to.toString()],T=_.patternPositions[b.from.toString()];w&&T&&y.setConstantPatternPositions(w,T)}var k=t.translatePosMatrix(m.posMatrix,g,r.paint.get("fill-extrusion-translate"),r.paint.get("fill-extrusion-translate-anchor")),A=r.paint.get("fill-extrusion-vertical-gradient"),M=u?kr(k,t,A,h,m,f,g):Tr(k,t,A,h);x.draw(s,s.gl.TRIANGLES,i,a,o,Et.backCCW,M,r.id,v.layoutVertexBuffer,v.indexBuffer,v.segments,r.paint,t.transform.zoom,y)}}}function sn(t,e,r,n,i,a){var o=t.context,s=o.gl,l=e.fbo;if(l){var c=t.useProgram("hillshade");o.activeTexture.set(s.TEXTURE0),s.bindTexture(s.TEXTURE_2D,l.colorAttachment.get());var u=function(t,e,r){var n=r.paint.get("hillshade-shadow-color"),i=r.paint.get("hillshade-highlight-color"),a=r.paint.get("hillshade-accent-color"),o=r.paint.get("hillshade-illumination-direction")*(Math.PI/180);"viewport"===r.paint.get("hillshade-illumination-anchor")&&(o-=t.transform.angle);var s=!t.options.moving;return{u_matrix:t.transform.calculatePosMatrix(e.tileID.toUnwrapped(),s),u_image:0,u_latrange:Dr(t,e.tileID),u_light:[r.paint.get("hillshade-exaggeration"),o],u_shadow:n,u_highlight:i,u_accent:a}}(t,e,r);c.draw(o,s.TRIANGLES,n,i,a,Et.disabled,u,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}function ln(e,r,n,i,a,o,s){var l=e.context,c=l.gl,u=r.dem;if(u&&u.data){var f=u.dim,h=u.stride,p=u.getPixels();if(l.activeTexture.set(c.TEXTURE1),l.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(h),r.demTexture){var d=r.demTexture;d.update(p,{premultiply:!1}),d.bind(c.NEAREST,c.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(l,p,c.RGBA,{premultiply:!1}),r.demTexture.bind(c.NEAREST,c.CLAMP_TO_EDGE);l.activeTexture.set(c.TEXTURE0);var m=r.fbo;if(!m){var g=new t.Texture(l,{width:f,height:f,data:null},c.RGBA);g.bind(c.LINEAR,c.CLAMP_TO_EDGE),(m=r.fbo=l.createFramebuffer(f,f,!0)).colorAttachment.set(g.texture)}l.bindFramebuffer.set(m.framebuffer),l.viewport.set([0,0,f,f]),e.useProgram("hillshadePrepare").draw(l,c.TRIANGLES,a,o,s,Et.disabled,function(e,r,n){var i=r.stride,a=t.create();return t.ortho(a,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(a,a,[0,-t.EXTENT,0]),{u_matrix:a,u_image:1,u_dimension:[i,i],u_zoom:e.overscaledZ,u_maxzoom:n,u_unpack:r.getUnpackVector()}}(r.tileID,u,i),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function cn(e,r,n,i,a){var o=i.paint.get("raster-fade-duration");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,c=r?(s-r.timeAdded)/o:-1,u=n.getSource(),f=a.coveringZoomLevel({tileSize:u.tileSize,roundZoom:u.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-c,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var un=new t.Color(1,0,0,1),fn=new t.Color(0,1,0,1),hn=new t.Color(0,0,1,1),pn=new t.Color(1,0,1,1),dn=new t.Color(0,1,1,1);function mn(t){var e=t.transform.padding;gn(t,t.transform.height-(e.top||0),3,un),gn(t,e.bottom||0,3,fn),vn(t,e.left||0,3,hn),vn(t,t.transform.width-(e.right||0),3,pn);var r=t.transform.centerPoint;!function(t,e,r,n){yn(t,e-1,r-10,2,20,n),yn(t,e-10,r-1,20,2,n)}(t,r.x,t.transform.height-r.y,dn)}function gn(t,e,r,n){yn(t,0,e+r/2,t.transform.width,r,n)}function vn(t,e,r,n){yn(t,e-r/2,0,r,t.transform.height,n)}function yn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function xn(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram("debug"),l=At.disabled,c=Mt.disabled,u=e.colorModeForRenderPass();i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,c,u,Et.disabled,Ir(o,t.Color.red),"$debug",e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var f=r.getTileByID(n.key).latestRawTileData,h=f&&f.byteLength||0,p=Math.floor(h/1024),d=r.getTile(n).tileSize,m=512/Math.min(d,512)*(n.overscaledZ/e.transform.zoom)*.5,g=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(g+=" => "+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext("2d");i.clearRect(0,0,r.width,r.height),i.shadowColor="white",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle="white",i.textBaseline="top",i.font="bold 36px Open Sans, sans-serif",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,g+" 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_=Math.pow(2,l.zoom-d.tileID.overscaledZ);tn(m,c,u,s,t.symbolSize,l,x,p.posMatrix,_,v,b)}}}}(i,e,n,r,n.layout.get("text-rotation-alignment"),n.layout.get("text-pitch-alignment"),a),0!==n.paint.get("icon-opacity").constantOr(1)&&rn(e,r,n,i,!1,n.paint.get("icon-translate"),n.paint.get("icon-translate-anchor"),n.layout.get("icon-rotation-alignment"),n.layout.get("icon-pitch-alignment"),n.layout.get("icon-keep-upright"),o,s),0!==n.paint.get("text-opacity").constantOr(1)&&rn(e,r,n,i,!0,n.paint.get("text-translate"),n.paint.get("text-translate-anchor"),n.layout.get("text-rotation-alignment"),n.layout.get("text-pitch-alignment"),n.layout.get("text-keep-upright"),o,s),r.map.showCollisionBoxes&&(Kr(e,r,n,i,n.paint.get("text-translate"),n.paint.get("text-translate-anchor"),!0),Kr(e,r,n,i,n.paint.get("icon-translate"),n.paint.get("icon-translate-anchor"),!1))}},circle:function(e,r,n,i){if("translucent"===e.renderPass){var a=n.paint.get("circle-opacity"),o=n.paint.get("circle-stroke-width"),s=n.paint.get("circle-stroke-opacity"),l=void 0!==n.layout.get("circle-sort-key").constantOr(1);if(0!==a.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var c=e.context,u=c.gl,f=e.depthModeForSublayer(0,At.ReadOnly),h=Mt.disabled,p=e.colorModeForRenderPass(),d=[],m=0;m<i.length;m++){var g=i[m],v=r.getTile(g),y=v.getBucket(n);if(y){var x=y.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram("circle",x),layoutVertexBuffer:y.layoutVertexBuffer,indexBuffer:y.indexBuffer,uniformValues:Lr(e,g,v,n)};if(l)for(var _=0,w=y.segments.get();_<w.length;_+=1){var T=w[_];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:b})}else d.push({segments:y.segments,sortKey:0,state:b})}}l&&d.sort((function(t,e){return t.sortKey-e.sortKey}));for(var k=0,A=d;k<A.length;k+=1){var M=A[k],S=M.state,E=S.programConfiguration,L=S.program,C=S.layoutVertexBuffer,P=S.indexBuffer,I=S.uniformValues,O=M.segments;L.draw(c,u.TRIANGLES,f,h,p,Et.disabled,I,n.id,C,P,O,n.paint,e.transform.zoom,E)}}}},heatmap:function(e,r,n,i){if(0!==n.paint.get("heatmap-opacity"))if("offscreen"===e.renderPass){var a=e.context,o=a.gl,s=Mt.disabled,l=new St([o.ONE,o.ONE],t.Color.transparent,[!0,!0,!0,!0]);!function(t,e,r){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var i=r.heatmapFbo;if(i)n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),t.bindFramebuffer.set(i.framebuffer);else{var a=n.createTexture();n.bindTexture(n.TEXTURE_2D,a),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),i=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1),function(t,e,r,n){var i=t.gl,a=t.extRenderToTextureHalfFloat?t.extTextureHalfFloat.HALF_FLOAT_OES:i.UNSIGNED_BYTE;i.texImage2D(i.TEXTURE_2D,0,i.RGBA,e.width/4,e.height/4,0,i.RGBA,a,null),n.colorAttachment.set(r)}(t,e,a,i)}}(a,e,n),a.clear({color:t.Color.transparent});for(var c=0;c<i.length;c++){var u=i[c];if(!r.hasRenderableParent(u)){var f=r.getTile(u),h=f.getBucket(n);if(h){var p=h.programConfigurations.get(n.id),d=e.useProgram("heatmap",p),m=e.transform.zoom;d.draw(a,o.TRIANGLES,At.disabled,s,l,Et.disabled,zr(u.posMatrix,f,m,n.paint.get("heatmap-intensity")),n.id,h.layoutVertexBuffer,h.indexBuffer,h.segments,n.paint,e.transform.zoom,p)}}}a.viewport.set([0,0,e.width,e.height])}else"translucent"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,i=n.gl,a=r.heatmapFbo;if(!a)return;n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,a.colorAttachment.get()),n.activeTexture.set(i.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,i.RGBA));o.bind(i.LINEAR,i.CLAMP_TO_EDGE),e.useProgram("heatmapTexture").draw(n,i.TRIANGLES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,function(e,r,n,i){var a=t.create();t.ortho(a,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:i,u_opacity:r.paint.get("heatmap-opacity")}}(e,r,0,1),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}(e,n))},line:function(e,r,n,i){if("translucent"===e.renderPass){var a=n.paint.get("line-opacity"),o=n.paint.get("line-width");if(0!==a.constantOr(1)&&0!==o.constantOr(1)){var s=e.depthModeForSublayer(0,At.ReadOnly),l=e.colorModeForRenderPass(),c=n.paint.get("line-dasharray"),u=n.paint.get("line-pattern"),f=u.constantOr(1),h=n.paint.get("line-gradient"),p=n.getCrossfadeParameters(),d=f?"linePattern":c?"lineSDF":h?"lineGradient":"line",m=e.context,g=m.gl,v=!0;if(h){m.activeTexture.set(g.TEXTURE0);var y=n.gradientTexture;if(!n.gradient)return;y||(y=n.gradientTexture=new t.Texture(m,n.gradient,g.RGBA)),y.bind(g.LINEAR,g.CLAMP_TO_EDGE)}for(var x=0,b=i;x<b.length;x+=1){var _=b[x],w=r.getTile(_);if(!f||w.patternsLoaded()){var T=w.getBucket(n);if(T){var k=T.programConfigurations.get(n.id),A=e.context.program.get(),M=e.useProgram(d,k),S=v||M.program!==A,E=u.constantOr(null);if(E&&w.imageAtlas){var L=w.imageAtlas,C=L.patternPositions[E.to.toString()],P=L.patternPositions[E.from.toString()];C&&P&&k.setConstantPatternPositions(C,P)}var I=f?Br(e,w,n,p):c?Nr(e,w,n,c,p):h?Fr(e,w,n):Rr(e,w,n);f?(m.activeTexture.set(g.TEXTURE0),w.imageAtlasTexture.bind(g.LINEAR,g.CLAMP_TO_EDGE),k.updatePaintBuffers(p)):c&&(S||e.lineAtlas.dirty)&&(m.activeTexture.set(g.TEXTURE0),e.lineAtlas.bind(m)),M.draw(m,g.TRIANGLES,s,e.stencilModeForClipping(_),l,Et.disabled,I,n.id,T.layoutVertexBuffer,T.indexBuffer,T.segments,n.paint,e.transform.zoom,k),v=!1}}}}}},fill:function(e,r,n,i){var a=n.paint.get("fill-color"),o=n.paint.get("fill-opacity");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get("fill-pattern"),c=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?"opaque":"translucent";if(e.renderPass===c){var u=e.depthModeForSublayer(1,"opaque"===e.renderPass?At.ReadWrite:At.ReadOnly);an(e,r,n,i,u,s,!1)}if("translucent"===e.renderPass&&n.paint.get("fill-antialias")){var f=e.depthModeForSublayer(n.getPaintProperty("fill-outline-color")?2:0,At.ReadOnly);an(e,r,n,i,f,s,!0)}}},"fill-extrusion":function(t,e,r,n){var i=r.paint.get("fill-extrusion-opacity");if(0!==i&&"translucent"===t.renderPass){var a=new At(t.context.gl.LEQUAL,At.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get("fill-extrusion-pattern").constantOr(1))on(t,e,r,n,a,Mt.disabled,St.disabled),on(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();on(t,e,r,n,a,Mt.disabled,o)}}},hillshade:function(t,e,r,n){if("offscreen"===t.renderPass||"translucent"===t.renderPass){for(var i=t.context,a=e.getSource().maxzoom,o=t.depthModeForSublayer(0,At.ReadOnly),s=t.colorModeForRenderPass(),l="translucent"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],c=l[0],u=0,f=l[1];u<f.length;u+=1){var h=f[u],p=e.getTile(h);p.needsHillshadePrepare&&"offscreen"===t.renderPass?ln(t,p,r,a,o,Mt.disabled,s):"translucent"===t.renderPass&&sn(t,p,r,o,c[h.overscaledZ],s)}i.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if("translucent"===t.renderPass&&0!==r.paint.get("raster-opacity")&&n.length)for(var i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram("raster"),l=t.colorModeForRenderPass(),c=o instanceof I?[{},n]:t.stencilConfigForOverlap(n),u=c[0],f=c[1],h=f[f.length-1].overscaledZ,p=!t.options.moving,d=0,m=f;d<m.length;d+=1){var g=m[d],v=t.depthModeForSublayer(g.overscaledZ-h,1===r.paint.get("raster-opacity")?At.ReadWrite:At.ReadOnly,a.LESS),y=e.getTile(g),x=t.transform.calculatePosMatrix(g.toUnwrapped(),p);y.registerFadeDuration(r.paint.get("raster-fade-duration"));var b=e.findLoadedParent(g,0),_=cn(y,b,e,r,t.transform),w=void 0,T=void 0,k="nearest"===r.paint.get("raster-resampling")?a.NEAREST:a.LINEAR;i.activeTexture.set(a.TEXTURE0),y.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),i.activeTexture.set(a.TEXTURE1),b?(b.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),w=Math.pow(2,b.tileID.overscaledZ-y.tileID.overscaledZ),T=[y.tileID.canonical.x*w%1,y.tileID.canonical.y*w%1]):y.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST);var A=Vr(x,T||[0,0],w||1,_,r);o instanceof I?s.draw(i,a.TRIANGLES,v,Mt.disabled,l,Et.disabled,A,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,v,u[g.overscaledZ],l,Et.disabled,A,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get("background-color"),i=r.paint.get("background-opacity");if(0!==i){var a=t.context,o=a.gl,s=t.transform,l=s.tileSize,c=r.paint.get("background-pattern");if(!t.isPatternMissing(c)){var u=!c&&1===n.a&&1===i&&t.opaquePassEnabledForLayer()?"opaque":"translucent";if(t.renderPass===u){var f=Mt.disabled,h=t.depthModeForSublayer(0,"opaque"===u?At.ReadWrite:At.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(c?"backgroundPattern":"background"),m=s.coveringTiles({tileSize:l});c&&(a.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var g=r.getCrossfadeParameters(),v=0,y=m;v<y.length;v+=1){var x=y[v],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=c?Zr(b,i,t,c,{tileID:x,tileSize:l},g):Xr(b,i,n);d.draw(a,o.TRIANGLES,h,f,p,Et.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)xn(t,e,r[n])},custom:function(t,e,r){var n=t.context,i=r.implementation;if("offscreen"===t.renderPass){var a=i.prerender;a&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),a.call(i,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if("translucent"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(Mt.disabled);var o="3d"===i.renderingMode?new At(t.context.gl.LEQUAL,At.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,At.ReadOnly);n.setDepthMode(o),i.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},_n=function(t,e){this.context=new Lt(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Ct.maxUnderzooming+Ct.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Ne,this.gpuTimers={}};_n.prototype.resize=function(e,r){if(this.width=e*t.browser.devicePixelRatio,this.height=r*t.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var n=0,i=this.style._order;n<i.length;n+=1){var a=i[n];this.style._layers[a].resize()}},_n.prototype.setup=function(){var e=this.context,r=new t.StructArrayLayout2i4;r.emplaceBack(0,0),r.emplaceBack(t.EXTENT,0),r.emplaceBack(0,t.EXTENT),r.emplaceBack(t.EXTENT,t.EXTENT),this.tileExtentBuffer=e.createVertexBuffer(r,Ge.members),this.tileExtentSegments=t.SegmentVector.simpleSegment(0,0,4,2);var n=new t.StructArrayLayout2i4;n.emplaceBack(0,0),n.emplaceBack(t.EXTENT,0),n.emplaceBack(0,t.EXTENT),n.emplaceBack(t.EXTENT,t.EXTENT),this.debugBuffer=e.createVertexBuffer(n,Ge.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var i=new t.StructArrayLayout4i8;i.emplaceBack(0,0,0,0),i.emplaceBack(t.EXTENT,0,t.EXTENT,0),i.emplaceBack(0,t.EXTENT,0,t.EXTENT),i.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(i,P.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var a=new t.StructArrayLayout2i4;a.emplaceBack(0,0),a.emplaceBack(1,0),a.emplaceBack(0,1),a.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(a,Ge.members),this.viewportSegments=t.SegmentVector.simpleSegment(0,0,4,2);var o=new t.StructArrayLayout1ui2;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=e.createIndexBuffer(o);var s=new t.StructArrayLayout3ui6;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=e.createIndexBuffer(s),this.emptyTexture=new t.Texture(e,{width:1,height:1,data:new Uint8Array([0,0,0,0])},e.gl.RGBA);var l=this.context.gl;this.stencilClearMode=new Mt({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},_n.prototype.clearStencil=function(){var e=this.context,r=e.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var n=t.create();t.ortho(n,0,this.width,this.height,0,0,1),t.scale(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram("clippingMask").draw(e,r.TRIANGLES,At.disabled,this.stencilClearMode,St.disabled,Et.disabled,Or(n),"$clipping",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},_n.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(St.disabled),r.setDepthMode(At.disabled);var i=this.useProgram("clippingMask");this._tileClippingMaskIDs={};for(var a=0,o=e;a<o.length;a+=1){var s=o[a],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;i.draw(r,n.TRIANGLES,At.disabled,new Mt({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),St.disabled,Et.disabled,Or(s.posMatrix),"$clipping",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},_n.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Mt({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},_n.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Mt({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},_n.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s<a;s++)o[s+i]=new Mt({func:r.GEQUAL,mask:255},s+this.nextStencilID,255,r.KEEP,r.KEEP,r.REPLACE);return this.nextStencilID+=a,[o,n]}return[(e={},e[i]=Mt.disabled,e),n]},_n.prototype.colorModeForRenderPass=function(){var e=this.context.gl;if(this._showOverdrawInspector){return new St([e.CONSTANT_COLOR,e.ONE],new t.Color(1/8,1/8,1/8,0),[!0,!0,!0,!0])}return"opaque"===this.renderPass?St.unblended:St.alphaBlended},_n.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return At.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new At(r||this.context.gl.LEQUAL,e,[n,n])},_n.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},_n.prototype.render=function(e,r){var n=this;this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var i=this.style._order,a=this.style.sourceCaches;for(var o in a){var s=a[o];s.used&&s.prepare(this.context)}var l,c,u={},f={},h={};for(var p in a){var d=a[p];u[p]=d.getVisibleCoordinates(),f[p]=u[p].slice().reverse(),h[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var m=0;m<i.length;m++){var g=i[m];if(this.style._layers[g].is3D()){this.opaquePassCutoff=m;break}}this.renderPass="offscreen";for(var v=0,y=i;v<y.length;v+=1){var x=y[v],b=this.style._layers[x];if(b.hasOffscreenPass()&&!b.isHidden(this.transform.zoom)){var _=f[b.source];("custom"===b.type||_.length)&&this.renderLayer(this,a[b.source],b,_)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?t.Color.black:t.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(e._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass="opaque",this.currentLayer=i.length-1;this.currentLayer>=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=u[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass="translucent",this.currentLayer=0;this.currentLayer<i.length;this.currentLayer++){var A=this.style._layers[i[this.currentLayer]],M=a[A.source],S=("symbol"===A.type?h:f)[A.source];this._renderTileClippingMasks(A,u[A.source]),this.renderLayer(this,M,A,S)}this.options.showTileBoundaries&&(t.values(this.style._layers).forEach((function(t){t.source&&!t.isHidden(n.transform.zoom)&&(t.source!==(c&&c.id)&&(c=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<c.getSource().maxzoom)&&(l=c))})),l&&bn.debug(this,l,l.getVisibleCoordinates()));this.options.showPadding&&mn(this),this.context.setDefault()},_n.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||("background"===r.type||"custom"===r.type||n.length)&&(this.id=r.id,this.gpuTimingStart(r),bn[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},_n.prototype.gpuTimingStart=function(t){if(this.options.gpuTiming){var e=this.context.extTimerQuery,r=this.gpuTimers[t.id];r||(r=this.gpuTimers[t.id]={calls:0,cpuTime:0,query:e.createQueryEXT()}),r.calls++,e.beginQueryEXT(e.TIME_ELAPSED_EXT,r.query)}},_n.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},_n.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},_n.prototype.queryGpuTimers=function(t){var e={};for(var r in t){var n=t[r],i=this.context.extTimerQuery,a=i.getQueryObjectEXT(n.query,i.QUERY_RESULT_EXT)/1e6;i.deleteQueryEXT(n.query),e[r]=a}return e},_n.prototype.translatePosMatrix=function(e,r,n,i,a){if(!n[0]&&!n[1])return e;var o=a?"map"===i?this.transform.angle:0:"viewport"===i?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var c=[a?n[0]:pe(r,n[0],this.transform.zoom),a?n[1]:pe(r,n[1],this.transform.zoom),0],u=new Float32Array(16);return t.translate(u,e,c),u},_n.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},_n.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},_n.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},_n.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=""+t+(e?e.cacheKey:"")+(this._showOverdrawInspector?"/overdraw":"");return this.cache[r]||(this.cache[r]=new _r(this.context,xr[t],e,Jr[t],this._showOverdrawInspector)),this.cache[r]},_n.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},_n.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},_n.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement("canvas"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},_n.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var wn=function(t,e){this.points=t,this.planes=e};wn.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new wn(a,o)};var Tn=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};Tn.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a<r.length;a++)n[a]=r[a]?this.min[a]:this.center[a],i[a]=r[a]?this.center[a]:this.max[a];return i[2]=this.max[2],new Tn(n,i)},Tn.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},Tn.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},Tn.prototype.intersects=function(e){for(var r=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],n=!0,i=0;i<e.planes.length;i++){for(var a=e.planes[i],o=0,s=0;s<r.length;s++)o+=t.dot$1(a,r[s])>=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var c=Number.MAX_VALUE,u=-Number.MAX_VALUE,f=0;f<e.points.length;f++){var h=e.points[f][l]-this.min[l];c=Math.min(c,h),u=Math.max(u,h)}if(u<0||c>this.max[l]-this.min[l])return 0}return 1};var kn=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error("Invalid value for edge-insets, top, bottom, left and right must all be numbers");this.top=t,this.bottom=e,this.left=r,this.right=n};kn.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},kn.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),i=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,i)},kn.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},kn.prototype.clone=function(){return new kn(this.top,this.bottom,this.left,this.right)},kn.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var An=function(e,r,n,i,a){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===a||a,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new kn,this._posMatrixCache={},this._alignedPosMatrixCache={}},Mn={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};An.prototype.clone=function(){var t=new An(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},Mn.minZoom.get=function(){return this._minZoom},Mn.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},Mn.maxZoom.get=function(){return this._maxZoom},Mn.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},Mn.minPitch.get=function(){return this._minPitch},Mn.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},Mn.maxPitch.get=function(){return this._maxPitch},Mn.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},Mn.renderWorldCopies.get=function(){return this._renderWorldCopies},Mn.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},Mn.worldSize.get=function(){return this.tileSize*this.scale},Mn.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},Mn.size.get=function(){return new t.Point(this.width,this.height)},Mn.bearing.get=function(){return-this.angle/Math.PI*180},Mn.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},Mn.pitch.get=function(){return this._pitch/Math.PI*180},Mn.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},Mn.fov.get=function(){return this._fov/Math.PI*180},Mn.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},Mn.zoom.get=function(){return this._zoom},Mn.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},Mn.center.get=function(){return this._center},Mn.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},Mn.padding.get=function(){return this._edgeInsets.toJSON()},Mn.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},Mn.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},An.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},An.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},An.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},An.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),c=s-1;c<=l+1;c++)0!==c&&r.push(new t.UnwrappedTileID(c,e));return r},An.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&r<e.minzoom)return[];void 0!==e.maxzoom&&r>e.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=wn.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var c=function(t){return{aabb:new Tn([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},u=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)u.push(c(-d)),u.push(c(d));for(u.push(c(0));u.length>0;){var m=u.pop(),g=m.x,v=m.y,y=m.fullyVisible;if(!y){var x=m.aabb.intersects(s);if(0===x)continue;y=2===x}var b=m.aabb.distanceX(o),_=m.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<<h-m.zoom)-2;if(m.zoom===h||w>T&&m.zoom>=l)f.push({tileID:new t.OverscaledTileID(m.zoom===h?p:m.zoom,m.wrap,m.zoom,g,v),distanceSq:t.sqrLen([o[0]-.5-g,o[1]-.5-v])});else for(var k=0;k<4;k++){var A=(g<<1)+k%2,M=(v<<1)+(k>>1);u.push({aabb:m.aabb.quadrant(k),zoom:m.zoom+1,x:A,y:M,wrap:m.wrap,fullyVisible:y})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},An.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},Mn.unmodified.get=function(){return this._unmodified},An.prototype.zoomScale=function(t){return Math.pow(2,t)},An.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},An.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},An.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},Mn.point.get=function(){return this.project(this.center)},An.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(e),o=new t.MercatorCoordinate(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},An.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},An.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},An.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},An.prototype.coordinateLocation=function(t){return t.toLngLat()},An.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,c=n[1]/a,u=r[2]/i,f=n[2]/a,h=u===f?0:(0-u)/(f-u);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,c,h)/this.worldSize)},An.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},An.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},An.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},An.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},An.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];var a=e.canonical,o=this.worldSize/this.zoomScale(a.z),s=a.x+Math.pow(2,a.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,a.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),i[n]=new Float32Array(l),i[n]},An.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},An.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,c=this.size,u=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-a<c.y?c.y/(o-a):0}if(this.lngRange){var h=this.lngRange;s=t.mercatorXfromLng(h[0])*this.worldSize,r=(l=t.mercatorXfromLng(h[1])*this.worldSize)-s<c.x?c.x/(l-s):0}var p=this.point,d=Math.max(r||0,e||0);if(d)return this.center=this.unproject(new t.Point(r?(l+s)/2:p.x,e?(o+a)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=u,void(this._constraining=!1);if(this.latRange){var m=p.y,g=c.y/2;m-g<a&&(i=a+g),m+g>o&&(i=o-g)}if(this.lngRange){var v=p.x,y=c.x/2;v-y<s&&(n=s+y),v+y>l&&(n=l-y)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=u,this._constraining=!1}},An.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,c=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),u=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,u,c),f[8]=2*-r.x/this.width,f[9]=2*r.y/this.height,t.scale(f,f,[1,-1,1]),t.translate(f,f,[0,0,-this.cameraToCenterDistance]),t.rotateX(f,f,this._pitch),t.rotateZ(f,f,this.angle),t.translate(f,f,[-s,-l,0]),this.mercatorMatrix=t.scale([],f,[this.worldSize,this.worldSize,this.worldSize]),t.scale(f,f,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=f,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),m=Math.sin(this.angle),g=s-Math.round(s)+d*h+m*p,v=l-Math.round(l)+d*p+m*h,y=new Float64Array(f);if(t.translate(y,y,[g>.5?g-1:g,v>.5?v-1:v,0]),this.alignedProjMatrix=y,f=t.create(),t.scale(f,f,[this.width/2,-this.height/2,1]),t.translate(f,f,[1,-1,0]),this.labelPlaneMatrix=f,f=t.create(),t.scale(f,f,[1,-1,1]),t.translate(f,f,[-1,-1,0]),t.scale(f,f,[2/this.width,2/this.height,1]),this.glCoordMatrix=f,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(f=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error("failed to invert matrix");this.pixelMatrixInverse=f,this._posMatrixCache={},this._alignedPosMatrixCache={}}},An.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},An.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},An.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var c=l[s];n=Math.min(n,c.x),i=Math.min(i,c.y),a=Math.max(a,c.x),o=Math.max(o,c.y)}return[new t.Point(n,i),new t.Point(a,i),new t.Point(a,o),new t.Point(n,o),new t.Point(n,i)]},Object.defineProperties(An.prototype,Mn);var Sn=function(e){var r,n,i,a,o;this._hashName=e&&encodeURIComponent(e),t.bindAll(["_getCurrentHash","_onHashChange","_updateHash"],this),this._updateHash=(r=this._updateHashUnthrottled.bind(this),n=300,i=!1,a=null,o=function(){a=null,i&&(r(),a=setTimeout(o,n),i=!1)},function(){return i=!0,a||o(),a})};Sn.prototype.addTo=function(e){return this._map=e,t.window.addEventListener("hashchange",this._onHashChange,!1),this._map.on("moveend",this._updateHash),this},Sn.prototype.remove=function(){return t.window.removeEventListener("hashchange",this._onHashChange,!1),this._map.off("moveend",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},Sn.prototype.getHashString=function(e){var r=this._map.getCenter(),n=Math.round(100*this._map.getZoom())/100,i=Math.ceil((n*Math.LN2+Math.log(512/360/.5))/Math.LN10),a=Math.pow(10,i),o=Math.round(r.lng*a)/a,s=Math.round(r.lat*a)/a,l=this._map.getBearing(),c=this._map.getPitch(),u="";if(u+=e?"/"+o+"/"+s+"/"+n:n+"/"+s+"/"+o,(l||c)&&(u+="/"+Math.round(10*l)/10),c&&(u+="/"+Math.round(c)),this._hashName){var f=this._hashName,h=!1,p=t.window.location.hash.slice(1).split("&").map((function(t){var e=t.split("=")[0];return e===f?(h=!0,e+"="+u):t})).filter((function(t){return t}));return h||p.push(f+"="+u),"#"+p.join("&")}return"#"+u},Sn.prototype._getCurrentHash=function(){var e,r=this,n=t.window.location.hash.replace("#","");return this._hashName?(n.split("&").map((function(t){return t.split("=")})).forEach((function(t){t[0]===r._hashName&&(e=t)})),(e&&e[1]||"").split("/")):n.split("/")},Sn.prototype._onHashChange=function(){var t=this._getCurrentHash();if(t.length>=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},Sn.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,"",e)}catch(t){}};var En={linearity:.3,easing:t.bezier(0,0,.3,1)},Ln=t.extend({deceleration:2500,maxSpeed:1400},En),Cn=t.extend({deceleration:20,maxSpeed:1400},En),Pn=t.extend({deceleration:1e3,maxSpeed:360},En),In=t.extend({deceleration:1e3,maxSpeed:90},En),On=function(t){this._map=t,this.clear()};function zn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function Dn(e,r,n){var i=n.maxSpeed,a=n.linearity,o=n.deceleration,s=t.clamp(e*a/(r/1e3),-i,i),l=Math.abs(s)/(o*a);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}On.prototype.clear=function(){this._inertiaBuffer=[]},On.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},On.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},On.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n<i.length;n+=1){var a=i[n].settings;r.zoom+=a.zoomDelta||0,r.bearing+=a.bearingDelta||0,r.pitch+=a.pitchDelta||0,a.panDelta&&r.pan._add(a.panDelta),a.around&&(r.around=a.around),a.pinchAround&&(r.pinchAround=a.pinchAround)}var o=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,s={};if(r.pan.mag()){var l=Dn(r.pan.mag(),o,t.extend({},Ln,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,zn(s,l)}if(r.zoom){var c=Dn(r.zoom,o,Cn);s.zoom=this._map.transform.zoom+c.amount,zn(s,c)}if(r.bearing){var u=Dn(r.bearing,o,Pn);s.bearing=this._map.transform.bearing+t.clamp(u.amount,-179,179),zn(s,u)}if(r.pitch){var f=Dn(r.pitch,o,In);s.pitch=this._map.transform.pitch+f.amount,zn(s,f)}if(s.zoom||s.bearing){var h=void 0===r.pinchAround?r.around:r.pinchAround;s.around=h?this._map.unproject(h):this._map.getCenter()}return this.clear(),t.extend(s,{noMoveStart:!0})}};var Rn=function(e){function n(n,i,a,o){void 0===o&&(o={});var s=r.mousePos(i.getCanvasContainer(),a),l=i.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:a},o)),this._defaultPrevented=!1,this.target=i}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Fn=function(e){function n(n,i,a){var o="touchend"===n?a.changedTouches:a.touches,s=r.touchPos(i.getCanvasContainer(),o),l=s.map((function(t){return i.unproject(t)})),c=s.reduce((function(t,e,r,n){return t.add(e.div(n.length))}),new t.Point(0,0)),u=i.unproject(c);e.call(this,n,{points:s,point:c,lngLats:l,lngLat:u,originalEvent:a}),this._defaultPrevented=!1}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Bn=function(t){function e(e,r,n){t.call(this,e,{originalEvent:n}),this._defaultPrevented=!1}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={defaultPrevented:{configurable:!0}};return e.prototype.preventDefault=function(){this._defaultPrevented=!0},r.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(e.prototype,r),e}(t.Event),Nn=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};Nn.prototype.reset=function(){delete this._mousedownPos},Nn.prototype.wheel=function(t){return this._firePreventable(new Bn(t.type,this._map,t))},Nn.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new Rn(t.type,this._map,t))},Nn.prototype.mouseup=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.dblclick=function(t){return this._firePreventable(new Rn(t.type,this._map,t))},Nn.prototype.mouseover=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.mouseout=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.touchstart=function(t){return this._firePreventable(new Fn(t.type,this._map,t))},Nn.prototype.touchmove=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype.touchend=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype.touchcancel=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Nn.prototype.isEnabled=function(){return!0},Nn.prototype.isActive=function(){return!1},Nn.prototype.enable=function(){},Nn.prototype.disable=function(){};var jn=function(t){this._map=t};jn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},jn.prototype.mousemove=function(t){this._map.fire(new Rn(t.type,this._map,t))},jn.prototype.mousedown=function(){this._delayContextMenu=!0},jn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Rn("contextmenu",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},jn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Rn(t.type,this._map,t)),this._map.listens("contextmenu")&&t.preventDefault()},jn.prototype.isEnabled=function(){return!0},jn.prototype.isActive=function(){return!1},jn.prototype.enable=function(){},jn.prototype.disable=function(){};var Un=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Vn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Un.prototype.isEnabled=function(){return!!this._enabled},Un.prototype.isActive=function(){return!!this._active},Un.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Un.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Un.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Un.prototype.mousemoveWindow=function(t,e){if(this._active){var n=e;if(!(this._lastPos.equals(n)||!this._box&&n.dist(this._startPos)<this._clickTolerance)){var i=this._startPos;this._lastPos=n,this._box||(this._box=r.create("div","mapboxgl-boxzoom",this._container),this._container.classList.add("mapboxgl-crosshair"),this._fireEvent("boxzoomstart",t));var a=Math.min(i.x,n.x),o=Math.max(i.x,n.x),s=Math.min(i.y,n.y),l=Math.max(i.y,n.y);r.setTransform(this._box,"translate("+a+"px,"+s+"px)"),this._box.style.width=o-a+"px",this._box.style.height=l-s+"px"}}},Un.prototype.mouseupWindow=function(e,n){var i=this;if(this._active&&0===e.button){var a=this._startPos,o=n;if(this.reset(),r.suppressClick(),a.x!==o.x||a.y!==o.y)return this._map.fire(new t.Event("boxzoomend",{originalEvent:e})),{cameraAnimation:function(t){return t.fitScreenCoordinates(a,o,i._map.getBearing(),{linear:!0})}};this._fireEvent("boxzoomcancel",e)}},Un.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent("boxzoomcancel",t))},Un.prototype.reset=function(){this._active=!1,this._container.classList.remove("mapboxgl-crosshair"),this._box&&(r.remove(this._box),this._box=null),r.enableDrag(),delete this._startPos,delete this._lastPos},Un.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var Hn=function(t){this.reset(),this.numTouches=t.numTouches};Hn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},Hn.prototype.touchstart=function(e,r,n){(this.centroid||n.length>this.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n<i.length;n+=1){var a=i[n];r._add(a)}return r.div(e.length)}(r),this.touches=Vn(n,r)))},Hn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=Vn(r,e);for(var i in this.touches){var a=this.touches[i],o=n[i];(!o||o.dist(a)>30)&&(this.aborted=!0)}}},Hn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var qn=function(t){this.singleTap=new Hn(t),this.numTaps=t.numTaps,this.reset()};qn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},qn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},qn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},qn.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Gn=function(){this._zoomIn=new qn({numTouches:1,numTaps:2}),this._zoomOut=new qn({numTouches:2,numTaps:1}),this.reset()};Gn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Gn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Gn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Gn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Gn.prototype.touchcancel=function(){this.reset()},Gn.prototype.enable=function(){this._enabled=!0},Gn.prototype.disable=function(){this._enabled=!1,this.reset()},Gn.prototype.isEnabled=function(){return this._enabled},Gn.prototype.isActive=function(){return this._active};var Yn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Yn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Yn.prototype._correctButton=function(t,e){return!1},Yn.prototype._move=function(t,e){return{}},Yn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Yn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r&&(t.preventDefault(),this._moved||!(e.dist(r)<this._clickTolerance)))return this._moved=!0,this._lastPoint=e,this._move(r,e)},Yn.prototype.mouseupWindow=function(t){r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},Yn.prototype.enable=function(){this._enabled=!0},Yn.prototype.disable=function(){this._enabled=!1,this.reset()},Yn.prototype.isEnabled=function(){return this._enabled},Yn.prototype.isActive=function(){return this._active};var Wn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.mousedown=function(e,r){t.prototype.mousedown.call(this,e,r),this._lastPoint&&(this._active=!0)},e.prototype._correctButton=function(t,e){return 0===e&&!t.ctrlKey},e.prototype._move=function(t,e){return{around:e,panDelta:e.sub(t)}},e}(Yn),Xn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=.8*(e.x-t.x);if(r)return this._active=!0,{bearingDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Yn),Zn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=-.5*(e.y-t.y);if(r)return this._active=!0,{pitchDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Yn),Jn=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};Jn.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},Jn.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},Jn.prototype.touchmove=function(t,e,r){if(this._active)return t.preventDefault(),this._calculateTransform(t,e,r)},Jn.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},Jn.prototype.touchcancel=function(){this.reset()},Jn.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var i=Vn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var c=i[l],u=this._touches[l];u&&(a._add(c),o._add(c.sub(u)),s++,i[l]=c)}if(this._touches=i,!(s<this._minTouches)&&o.mag()){var f=o.div(s);if(this._sum._add(f),!(this._sum.mag()<this._clickTolerance))return{around:a.div(s),panDelta:f}}},Jn.prototype.enable=function(){this._enabled=!0},Jn.prototype.disable=function(){this._enabled=!1,this.reset()},Jn.prototype.isEnabled=function(){return this._enabled},Jn.prototype.isActive=function(){return this._active};var Kn=function(){this.reset()};function Qn(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}Kn.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},Kn.prototype._start=function(t){},Kn.prototype._move=function(t,e,r){return{}},Kn.prototype.touchstart=function(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]))},Kn.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,i=n[0],a=n[1],o=Qn(r,e,i),s=Qn(r,e,a);if(o&&s){var l=this._aroundCenter?null:o.add(s).div(2);return this._move([o,s],l,t)}}},Kn.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var i=this._firstTwoTouches,a=i[0],o=i[1],s=Qn(n,e,a),l=Qn(n,e,o);s&&l||(this._active&&r.suppressClick(),this.reset())}},Kn.prototype.touchcancel=function(){this.reset()},Kn.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&"center"===t.around},Kn.prototype.disable=function(){this._enabled=!1,this.reset()},Kn.prototype.isEnabled=function(){return this._enabled},Kn.prototype.isActive=function(){return this._active};function $n(t,e){return Math.log(t/e)/Math.LN2}var ti=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._distance,delete this._startDistance},e.prototype._start=function(t){this._startDistance=this._distance=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs($n(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:$n(this._distance,r),pinchAround:e}},e}(Kn);function ei(t,e){return 180*t.angleWith(e)/Math.PI}var ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},e.prototype._start=function(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:ei(this._vector,r),pinchAround:e}},e.prototype._isBelowThreshold=function(t){this._minDiameter=Math.min(this._minDiameter,t.mag());var e=25/(Math.PI*this._minDiameter)*360,r=ei(t,this._startVector);return Math.abs(r)<e},e}(Kn);function ni(t){return Math.abs(t.y)>Math.abs(t.x)}var ii=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,ni(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid){this._lastPoints=t,this._active=!0;return{pitchDelta:-.5*((n.y+i.y)/2)}}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return ni(t)&&ni(e)&&a}},e}(Kn),ai={panStep:100,bearingStep:15,pitchStep:10},oi=function(){var t=ai;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep};function si(t){return t*(2-t)}oi.prototype.reset=function(){this._active=!1},oi.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:"keyboardHandler",easing:si,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},oi.prototype.enable=function(){this._enabled=!0},oi.prototype.disable=function(){this._enabled=!1,this.reset()},oi.prototype.isEnabled=function(){return this._enabled},oi.prototype.isActive=function(){return this._active};var li=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=1/450,t.bindAll(["_onWheel","_onTimeout","_onScrollFrame","_onScrollFinished"],this)};li.prototype.setZoomRate=function(t){this._defaultZoomRate=t},li.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},li.prototype.isEnabled=function(){return!!this._enabled},li.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},li.prototype.isZooming=function(){return!!this._zooming},li.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&"center"===t.around)},li.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},li.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%4.000244140625==0?this._type="wheel":0!==r&&Math.abs(r)<4?this._type="trackpad":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?"trackpad":"wheel",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},li.prototype._onTimeout=function(t){this._type="wheel",this._delta-=this._lastValue,this._active||this._start(t)},li.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},li.prototype.renderFrame=function(){return this._onScrollFrame()},li.prototype._onScrollFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n="wheel"===this._type&&Math.abs(this._delta)>4.000244140625?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a="number"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),"wheel"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s="number"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,c=this._easing,u=!1;if("wheel"===this._type&&l&&c){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=c(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):u=!0}else o=s,u=!0;return this._active=!0,u&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!u,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},li.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},li.prototype.reset=function(){this._active=!1};var ci=function(t,e){this._clickZoom=t,this._tapZoom=e};ci.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},ci.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},ci.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},ci.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var ui=function(){this.reset()};ui.prototype.reset=function(){this._active=!1},ui.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},ui.prototype.enable=function(){this._enabled=!0},ui.prototype.disable=function(){this._enabled=!1,this.reset()},ui.prototype.isEnabled=function(){return this._enabled},ui.prototype.isActive=function(){return this._active};var fi=function(){this._tap=new qn({numTouches:1,numTaps:1}),this.reset()};fi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},fi.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},fi.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},fi.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},fi.prototype.touchcancel=function(){this.reset()},fi.prototype.enable=function(){this._enabled=!0},fi.prototype.disable=function(){this._enabled=!1,this.reset()},fi.prototype.isEnabled=function(){return this._enabled},fi.prototype.isActive=function(){return this._active};var hi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};hi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add("mapboxgl-touch-drag-pan")},hi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove("mapboxgl-touch-drag-pan")},hi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},hi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var pi=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};pi.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},pi.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},pi.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},pi.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var di=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};di.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add("mapboxgl-touch-zoom-rotate")},di.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove("mapboxgl-touch-zoom-rotate")},di.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},di.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},di.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},di.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var mi=function(t){return t.zoom||t.drag||t.pitch||t.rotate},gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function vi(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var yi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new On(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll(["handleEvent","handleWindowEvent"],this);var i=this._el;this._listeners=[[i,"touchstart",{passive:!1}],[i,"touchmove",{passive:!1}],[i,"touchend",void 0],[i,"touchcancel",void 0],[i,"mousedown",void 0],[i,"mousemove",void 0],[i,"mouseup",void 0],[t.window.document,"mousemove",{capture:!0}],[t.window.document,"mouseup",void 0],[i,"mouseover",void 0],[i,"mouseout",void 0],[i,"dblclick",void 0],[i,"click",void 0],[i,"keydown",{capture:!1}],[i,"keyup",void 0],[i,"wheel",{passive:!1}],[i,"contextmenu",void 0],[t.window,"blur",void 0]];for(var a=0,o=this._listeners;a<o.length;a+=1){var s=o[a],l=s[0],c=s[1],u=s[2];r.addEventListener(l,c,l===t.window.document?this.handleWindowEvent:this.handleEvent,u)}};yi.prototype.destroy=function(){for(var e=0,n=this._listeners;e<n.length;e+=1){var i=n[e],a=i[0],o=i[1],s=i[2];r.removeEventListener(a,o,a===t.window.document?this.handleWindowEvent:this.handleEvent,s)}},yi.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add("mapEvent",new Nn(e,t));var n=e.boxZoom=new Un(e,t);this._add("boxZoom",n);var i=new Gn,a=new ui;e.doubleClickZoom=new ci(a,i),this._add("tapZoom",i),this._add("clickZoom",a);var o=new fi;this._add("tapDragZoom",o);var s=e.touchPitch=new ii;this._add("touchPitch",s);var l=new Xn(t),c=new Zn(t);e.dragRotate=new pi(t,l,c),this._add("mouseRotate",l,["mousePitch"]),this._add("mousePitch",c,["mouseRotate"]);var u=new Wn(t),f=new Jn(t);e.dragPan=new hi(r,u,f),this._add("mousePan",u),this._add("touchPan",f,["touchZoom","touchRotate"]);var h=new ri,p=new ti;e.touchZoomRotate=new di(r,p,h,o),this._add("touchRotate",h,["touchPan","touchZoom"]),this._add("touchZoom",p,["touchPan","touchRotate"]);var d=e.scrollZoom=new li(e,this);this._add("scrollZoom",d,["mousePan"]);var m=e.keyboard=new oi;this._add("keyboard",m),this._add("blockableMapEvent",new jn(e));for(var g=0,v=["boxZoom","doubleClickZoom","tapDragZoom","touchPitch","dragRotate","dragPan","touchZoomRotate","scrollZoom","keyboard"];g<v.length;g+=1){var y=v[g];t.interactive&&t[y]&&e[y].enable(t[y])}},yi.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},yi.prototype.stop=function(){if(!this._updatingCamera){for(var t=0,e=this._handlers;t<e.length;t+=1){e[t].handler.reset()}this._inertia.clear(),this._fireEvents({},{}),this._changes=[]}},yi.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1){if(e[t].handler.isActive())return!0}return!1},yi.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},yi.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},yi.prototype.isMoving=function(){return Boolean(mi(this._eventsInProgress))||this.isZooming()},yi.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},yi.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+"Window")},yi.prototype._getMapTouches=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=i.target;this._el.contains(a)&&e.push(i)}return e},yi.prototype.handleEvent=function(t,e){if("blur"!==t.type){this._updatingCamera=!0;for(var n="renderFrame"===t.type?void 0:t,i={needsRenderFrame:!1},a={},o={},s=t.touches?this._getMapTouches(t.touches):void 0,l=s?r.touchPos(this._el,s):r.mousePos(this._el,t),c=0,u=this._handlers;c<u.length;c+=1){var f=u[c],h=f.handlerName,p=f.handler,d=f.allowed;if(p.isEnabled()){var m=void 0;this._blockedByActive(o,d,h)?p.reset():p[e||t.type]&&(m=p[e||t.type](t,l,s),this.mergeHandlerResult(i,a,m,h,n),m&&m.needsRenderFrame&&this._triggerRenderFrame()),(m||p.isActive())&&(o[h]=p)}}var g={};for(var v in this._previousActiveHandlers)o[v]||(g[v]=n);this._previousActiveHandlers=o,(Object.keys(g).length||vi(i))&&(this._changes.push([i,a,g]),this._triggerRenderFrame()),(Object.keys(o).length||vi(i))&&this._map._stop(!0),this._updatingCamera=!1;var y=i.cameraAnimation;y&&(this._inertia.clear(),this._fireEvents({},{}),this._changes=[],y(this._map))}else this.stop()},yi.prototype.mergeHandlerResult=function(e,r,n,i,a){if(n){t.extend(e,n);var o={handlerName:i,originalEvent:n.originalEvent||a};void 0!==n.zoomDelta&&(r.zoom=o),void 0!==n.panDelta&&(r.drag=o),void 0!==n.pitchDelta&&(r.pitch=o),void 0!==n.bearingDelta&&(r.rotate=o)}},yi.prototype._applyChanges=function(){for(var e={},r={},n={},i=0,a=this._changes;i<a.length;i+=1){var o=a[i],s=o[0],l=o[1],c=o[2];s.panDelta&&(e.panDelta=(e.panDelta||new t.Point(0,0))._add(s.panDelta)),s.zoomDelta&&(e.zoomDelta=(e.zoomDelta||0)+s.zoomDelta),s.bearingDelta&&(e.bearingDelta=(e.bearingDelta||0)+s.bearingDelta),s.pitchDelta&&(e.pitchDelta=(e.pitchDelta||0)+s.pitchDelta),void 0!==s.around&&(e.around=s.around),void 0!==s.pinchAround&&(e.pinchAround=s.pinchAround),s.noInertia&&(e.noInertia=s.noInertia),t.extend(r,l),t.extend(n,c)}this._updateMapTransform(e,r,n),this._changes=[]},yi.prototype._updateMapTransform=function(t,e,r){var n=this._map,i=n.transform;if(!vi(t))return this._fireEvents(e,r);var a=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,c=t.around,u=t.pinchAround;void 0!==u&&(c=u),n._stop(!0),c=c||n.transform.centerPoint;var f=i.pointLocation(a?c.sub(a):c);s&&(i.bearing+=s),l&&(i.pitch+=l),o&&(i.zoom+=o),i.setLocationAtPoint(f,c),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r)},yi.prototype._fireEvents=function(e,r){var n=this,i=mi(this._eventsInProgress),a=mi(e),o={};for(var s in e){var l=e[s].originalEvent;this._eventsInProgress[s]||(o[s+"start"]=l),this._eventsInProgress[s]=e[s]}for(var c in!i&&a&&this._fireEvent("movestart",a.originalEvent),o)this._fireEvent(c,o[c]);for(var u in e.rotate&&(this._bearingChanged=!0),a&&this._fireEvent("move",a.originalEvent),e){var f=e[u].originalEvent;this._fireEvent(u,f)}var h,p={};for(var d in this._eventsInProgress){var m=this._eventsInProgress[d],g=m.handlerName,v=m.originalEvent;this._handlersById[g].isActive()||(delete this._eventsInProgress[d],h=r[g]||v,p[d+"end"]=h)}for(var y in p)this._fireEvent(y,p[y]);var x=mi(this._eventsInProgress);if((i||a)&&!x){this._updatingCamera=!0;var b=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),_=function(t){return 0!==t&&-n._bearingSnap<t&&t<n._bearingSnap};b?(_(b.bearing||this._map.getBearing())&&(b.bearing=0),this._map.easeTo(b,{originalEvent:h})):(this._map.fire(new t.Event("moveend",{originalEvent:h})),_(this._map.getBearing())&&this._map.resetNorth()),this._bearingChanged=!1,this._updatingCamera=!1}},yi.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},yi.prototype._triggerRenderFrame=function(){var t=this;void 0===this._frameId&&(this._frameId=this._map._requestRenderFrame((function(e){delete t._frameId,t.handleEvent(new gi("renderFrame",{timeStamp:e})),t._applyChanges()})))};var xi=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll(["_renderFrameCallback"],this)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.getPadding=function(){return this.transform.padding},r.prototype.setPadding=function(t,e){return this.jumpTo({padding:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){return e=t.LngLatBounds.convert(e),this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),0,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,i){var a={top:0,bottom:0,right:0,left:0};if("number"==typeof(i=t.extend({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){var o=i.padding;i.padding={top:o,bottom:o,right:o,left:o}}i.padding=t.extend(a,i.padding);var s=this.transform,l=s.padding,c=s.project(t.LngLat.convert(e)),u=s.project(t.LngLat.convert(r)),f=c.rotate(-n*Math.PI/180),h=u.rotate(-n*Math.PI/180),p=new t.Point(Math.max(f.x,h.x),Math.max(f.y,h.y)),d=new t.Point(Math.min(f.x,h.x),Math.min(f.y,h.y)),m=p.sub(d),g=(s.width-(l.left+l.right+i.padding.left+i.padding.right))/m.x,v=(s.height-(l.top+l.bottom+i.padding.top+i.padding.bottom))/m.y;if(!(v<0||g<0)){var y=Math.min(s.scaleZoom(s.scale*Math.min(g,v)),i.maxZoom),x=t.Point.convert(i.offset),b=(i.padding.left-i.padding.right)/2,_=(i.padding.top-i.padding.bottom)/2,w=new t.Point(x.x+b,x.y+_).mult(s.scale/s.zoomScale(y));return{center:s.unproject(c.add(u).div(2).sub(w)),zoom:y,bearing:n}}t.warnOnce("Map cannot fit within canvas with the given bounds, padding, and/or offset.")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,i,a){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,i),i,a)},r.prototype._fitInternal=function(e,r,n){return e?(delete(r=t.extend(e,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,i=!1,a=!1,o=!1;return"zoom"in e&&n.zoom!==+e.zoom&&(i=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),"bearing"in e&&n.bearing!==+e.bearing&&(a=!0,n.bearing=+e.bearing),"pitch"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),null==e.padding||n.isPaddingEqual(e.padding)||(n.padding=e.padding),this.fire(new t.Event("movestart",r)).fire(new t.Event("move",r)),i&&this.fire(new t.Event("zoomstart",r)).fire(new t.Event("zoom",r)).fire(new t.Event("zoomend",r)),a&&this.fire(new t.Event("rotatestart",r)).fire(new t.Event("rotate",r)).fire(new t.Event("rotateend",r)),o&&this.fire(new t.Event("pitchstart",r)).fire(new t.Event("pitch",r)).fire(new t.Event("pitchend",r)),this.fire(new t.Event("moveend",r))},r.prototype.easeTo=function(e,r){var n=this;this._stop(!1,e.easeId),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||!e.essential&&t.browser.prefersReducedMotion)&&(e.duration=0);var i=this.transform,a=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=this.getPadding(),c="zoom"in e?+e.zoom:a,u="bearing"in e?this._normalizeBearing(e.bearing,o):o,f="pitch"in e?+e.pitch:s,h="padding"in e?e.padding:i.padding,p=t.Point.convert(e.offset),d=i.centerPoint.add(p),m=i.pointLocation(d),g=t.LngLat.convert(e.center||m);this._normalizeCenter(g);var v,y,x=i.project(m),b=i.project(g).sub(x),_=i.zoomScale(c-a);e.around&&(v=t.LngLat.convert(e.around),y=i.locationPoint(v));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||c!==a,this._rotating=this._rotating||o!==u,this._pitching=this._pitching||f!==s,this._padding=!i.isPaddingEqual(h),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),clearTimeout(this._easeEndTimeoutID),this._ease((function(e){if(n._zooming&&(i.zoom=t.number(a,c,e)),n._rotating&&(i.bearing=t.number(o,u,e)),n._pitching&&(i.pitch=t.number(s,f,e)),n._padding&&(i.interpolatePadding(l,h,e),d=i.centerPoint.add(p)),v)i.setLocationAtPoint(v,y);else{var m=i.zoomScale(i.zoom-a),g=c>a?Math.min(2,_):Math.max(.5,_),w=Math.pow(g,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(m));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event("movestart",e)),this._zooming&&!n.zooming&&this.fire(new t.Event("zoomstart",e)),this._rotating&&!n.rotating&&this.fire(new t.Event("rotatestart",e)),this._pitching&&!n.pitching&&this.fire(new t.Event("pitchstart",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event("move",e)),this._zooming&&this.fire(new t.Event("zoom",e)),this._rotating&&this.fire(new t.Event("rotate",e)),this._pitching&&this.fire(new t.Event("pitch",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event("zoomend",e)),i&&this.fire(new t.Event("rotateend",e)),a&&this.fire(new t.Event("pitchend",e)),this.fire(new t.Event("moveend",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,["center","zoom","bearing","pitch","around"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),c=this.getPadding(),u="zoom"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f="bearing"in e?this._normalizeBearing(e.bearing,s):s,h="pitch"in e?+e.pitch:l,p="padding"in e?e.padding:a.padding,d=a.zoomScale(u-o),m=t.Point.convert(e.offset),g=a.centerPoint.add(m),v=a.pointLocation(g),y=t.LngLat.convert(e.center||v);this._normalizeCenter(y);var x=a.project(v),b=a.project(y).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if("minZoom"in e){var A=t.clamp(Math.min(e.minZoom,o,u),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);_=Math.sqrt(M/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function L(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),I=function(t){return C(P)/C(P+_*t)},O=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/k;var e},z=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(z)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var D=T<w?-1:1;z=Math.abs(Math.log(T/w))/_,O=function(){return 0},I=function(t){return Math.exp(D*_*t)}}if("duration"in e)e.duration=+e.duration;else{var R="screenSpeed"in e?+e.screenSpeed/_:+e.speed;e.duration=1e3*z/R}return e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*z,d=1/I(i);a.zoom=1===e?u:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(c,p,e),g=a.centerPoint.add(m));var v=1===e?y:a.unproject(x.add(b.mult(O(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?v.wrap():v,g),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop()}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)<n&&(e-=360),Math.abs(e+360-r)<n&&(e+=360),e},r.prototype._normalizeCenter=function(t){var e=this.transform;if(e.renderWorldCopies&&!e.lngRange){var r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}},r}(t.Evented),bi=function(e){void 0===e&&(e={}),this.options=e,t.bindAll(["_updateEditLink","_updateData","_updateCompact"],this)};bi.prototype.getDefaultPosition=function(){return"bottom-right"},bi.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-attrib"),this._innerContainer=r.create("div","mapboxgl-ctrl-attrib-inner",this._container),e&&this._container.classList.add("mapboxgl-compact"),this._updateAttributions(),this._updateEditLink(),this._map.on("styledata",this._updateData),this._map.on("sourcedata",this._updateData),this._map.on("moveend",this._updateEditLink),void 0===e&&(this._map.on("resize",this._updateCompact),this._updateCompact()),this._container},bi.prototype.onRemove=function(){r.remove(this._container),this._map.off("styledata",this._updateData),this._map.off("sourcedata",this._updateData),this._map.off("moveend",this._updateEditLink),this._map.off("resize",this._updateCompact),this._map=void 0,this._attribHTML=void 0},bi.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(".mapbox-improve-map"));var r=[{key:"owner",value:this.styleOwner},{key:"id",value:this.styleId},{key:"access_token",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+"="+e.value+(n<r.length-1?"&":"")),t}),"?");e.href=t.config.FEEDBACK_URL+"/"+n+(this._map._hash?this._map._hash.getHashString(!0):""),e.rel="noopener nofollow"}},bi.prototype._updateData=function(t){!t||"metadata"!==t.sourceDataType&&"style"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},bi.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map((function(t){return"string"!=typeof t?"":t}))):"string"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){var e=this._map.style.stylesheet;this.styleOwner=e.owner,this.styleId=e.id}var r=this._map.style.sourceCaches;for(var n in r){var i=r[n];if(i.used){var a=i.getSource();a.attribution&&t.indexOf(a.attribution)<0&&t.push(a.attribution)}}t.sort((function(t,e){return t.length-e.length}));var o=(t=t.filter((function(e,r){for(var n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0}))).join(" | ");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove("mapboxgl-attrib-empty")):this._container.classList.add("mapboxgl-attrib-empty"),this._editLink=null)}},bi.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add("mapboxgl-compact"):this._container.classList.remove("mapboxgl-compact")};var _i=function(){t.bindAll(["_updateLogo"],this),t.bindAll(["_updateCompact"],this)};_i.prototype.onAdd=function(t){this._map=t,this._container=r.create("div","mapboxgl-ctrl");var e=r.create("a","mapboxgl-ctrl-logo");return e.target="_blank",e.rel="noopener nofollow",e.href="https://www.mapbox.com/",e.setAttribute("aria-label",this._map._getUIString("LogoControl.Title")),e.setAttribute("rel","noopener nofollow"),this._container.appendChild(e),this._container.style.display="none",this._map.on("sourcedata",this._updateLogo),this._updateLogo(),this._map.on("resize",this._updateCompact),this._updateCompact(),this._container},_i.prototype.onRemove=function(){r.remove(this._container),this._map.off("sourcedata",this._updateLogo),this._map.off("resize",this._updateCompact)},_i.prototype.getDefaultPosition=function(){return"bottom-left"},_i.prototype._updateLogo=function(t){t&&"metadata"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?"block":"none")},_i.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t){if(t[e].getSource().mapbox_logo)return!0}return!1}},_i.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add("mapboxgl-compact"):e.classList.remove("mapboxgl-compact")}};var wi=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};wi.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},wi.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;r<n.length;r+=1){var i=n[r];if(i.id===t)return void(i.cancelled=!0)}},wi.prototype.run=function(t){void 0===t&&(t=0);var e=this._currentlyRunning=this._queue;this._queue=[];for(var r=0,n=e;r<n.length;r+=1){var i=n[r];if(!i.cancelled&&(i.callback(t),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},wi.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Ti={"FullscreenControl.Enter":"Enter fullscreen","FullscreenControl.Exit":"Exit fullscreen","GeolocateControl.FindMyLocation":"Find my location","GeolocateControl.LocationNotAvailable":"Location not available","LogoControl.Title":"Mapbox logo","NavigationControl.ResetBearing":"Reset bearing to north","NavigationControl.ZoomIn":"Zoom in","NavigationControl.ZoomOut":"Zoom out","ScaleControl.Feet":"ft","ScaleControl.Meters":"m","ScaleControl.Kilometers":"km","ScaleControl.Miles":"mi","ScaleControl.NauticalMiles":"nm"},ki=t.window.HTMLImageElement,Ai=t.window.HTMLElement,Mi=t.window.ImageBitmap,Si={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:60,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,bearingSnap:7,clickTolerance:3,pitchWithRotate:!0,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:"sans-serif",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},Ei=function(n){function i(e){var r=this;if(null!=(e=t.extend({},Si,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error("maxZoom must be greater than or equal to minZoom");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error("maxPitch must be greater than or equal to minPitch");if(null!=e.minPitch&&e.minPitch<0)throw new Error("minPitch must be greater than or equal to 0");if(null!=e.maxPitch&&e.maxPitch>60)throw new Error("maxPitch must be less than or equal to 60");var i=new An(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new wi,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Ti,e.locale),this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),"string"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error("Container '"+e.container+"' not found.")}else{if(!(e.container instanceof Ai))throw new Error("Invalid type: 'container' must be a String or HTMLElement.");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll(["_onWindowOnline","_onWindowResize","_contextLost","_contextRestored"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error("Failed to initialize WebGL.");this.on("move",(function(){return r._update(!1)})),this.on("moveend",(function(){return r._update(!1)})),this.on("zoom",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener("online",this._onWindowOnline,!1),t.window.addEventListener("resize",this._onWindowResize,!1)),this.handlers=new yi(this,e);var a="string"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new Sn(a).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new bi({customAttribution:e.customAttribution})),this.addControl(new _i,e.logoPosition),this.on("style.load",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on("data",(function(e){r._update("style"===e.dataType),r.fire(new t.Event(e.dataType+"data",e))})),this.on("dataloading",(function(e){r.fire(new t.Event(e.dataType+"dataloading",e))}))}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&e.getDefaultPosition&&(r=e.getDefaultPosition()),void 0===r&&(r="top-right"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error("Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf("bottom")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error("Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event("movestart",e)).fire(new t.Event("move",e))),this.fire(new t.Event("resize",e)),a&&this.fire(new t.Event("moveend",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error("minZoom must be between -2 and the current maxZoom, inclusive")},i.prototype.getMinZoom=function(){return this.transform.minZoom},i.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error("maxZoom must be greater than the current minZoom")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error("minPitch must be greater than or equal to 0");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error("minPitch must be between 0 and the current maxPitch, inclusive")},i.prototype.getMinPitch=function(){return this.transform.minPitch},i.prototype.setMaxPitch=function(t){if((t=null==t?60:t)>60)throw new Error("maxPitch must be less than or equal to 60");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error("maxPitch must be greater than the current minPitch")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if("mouseenter"===t||"mouseover"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new Rn(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if("mouseleave"===t||"mouseout"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new Rn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Rn(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o<a.length;o++){var s=a[o];if(s.layer===e&&s.listener===r){for(var l in s.delegates)i.off(l,s.delegates[l]);return a.splice(o,1),i}}}(this._delegatedListeners),this},i.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return[];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||"number"==typeof e[0])n=[t.Point.convert(e)];else{var i=t.Point.convert(e[0]),a=t.Point.convert(e[1]);n=[i,new t.Point(a.x,i.y),a,new t.Point(i.x,a.y),i]}return this.style.queryRenderedFeatures(n,r,this.transform)},i.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},i.prototype.setStyle=function(e,r){return!1!==(r=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},i.prototype._getUIString=function(t){var e=this._locale[t];if(null==e)throw new Error("Missing UI string '"+t+"'");return e},i.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new qe(this,e||{}),this.style.setEventedParent(this,{style:this.style}),"string"==typeof t?this.style.loadURL(t):this.style.loadJSON(t),this):(delete this.style,this)},i.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new qe(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},i.prototype._diffStyle=function(e,r){var n=this;if("string"==typeof e){var i=this._requestManager.normalizeStyleURL(e),a=this._requestManager.transformRequest(i,t.ResourceType.Style);t.getJSON(a,(function(e,i){e?n.fire(new t.ErrorEvent(e)):i&&n._updateDiff(i,r)}))}else"object"==typeof e&&this._updateDiff(e,r)},i.prototype._updateDiff=function(e,r){try{this.style.setState(e)&&this._update(!0)}catch(n){t.warnOnce("Unable to perform style diff: "+(n.message||n.error||n)+".  Rebuilding the style from scratch."),this._updateStyle(e,r)}},i.prototype.getStyle=function(){if(this.style)return this.style.serialize()},i.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce("There is no style added to the map.")},i.prototype.addSource=function(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)},i.prototype.isSourceLoaded=function(e){var r=this.style&&this.style.sourceCaches[e];if(void 0!==r)return r.loaded();this.fire(new t.ErrorEvent(new Error("There is no source with ID '"+e+"'")))},i.prototype.areTilesLoaded=function(){var t=this.style&&this.style.sourceCaches;for(var e in t){var r=t[e]._tiles;for(var n in r){var i=r[n];if("loaded"!==i.state&&"errored"!==i.state)return!1}}return!0},i.prototype.addSourceType=function(t,e,r){return this._lazyInitEmptyStyle(),this.style.addSourceType(t,e,r)},i.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},i.prototype.getSource=function(t){return this.style.getSource(t)},i.prototype.addImage=function(e,r,n){void 0===n&&(n={});var i=n.pixelRatio;void 0===i&&(i=1);var a=n.sdf;void 0===a&&(a=!1);var o=n.stretchX,s=n.stretchY,l=n.content;this._lazyInitEmptyStyle();if(r instanceof ki||Mi&&r instanceof Mi){var c=t.browser.getImageData(r),u=c.width,f=c.height,h=c.data;this.style.addImage(e,{data:new t.RGBAImage({width:u,height:f},h),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0})}else{if(void 0===r.width||void 0===r.height)return this.fire(new t.ErrorEvent(new Error("Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`")));var p=r.width,d=r.height,m=r.data,g=r;this.style.addImage(e,{data:new t.RGBAImage({width:p,height:d},new Uint8Array(m)),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0,userImage:g}),g.onAdd&&g.onAdd(this,e)}},i.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error("The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.")));var i=r instanceof ki||Mi&&r instanceof Mi?t.browser.getImageData(r):r,a=i.width,o=i.height,s=i.data;if(void 0===a||void 0===o)return this.fire(new t.ErrorEvent(new Error("Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`")));if(a!==n.data.width||o!==n.data.height)return this.fire(new t.ErrorEvent(new Error("The width and height of the updated image must be that same as the previous version of the image")));var l=!(r instanceof ki||Mi&&r instanceof Mi);n.data.replace(s,l),this.style.updateImage(e,n)},i.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error("Missing required image id"))),!1)},i.prototype.removeImage=function(t){this.style.removeImage(t)},i.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},i.prototype.listImages=function(){return this.style.listImages()},i.prototype.addLayer=function(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)},i.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},i.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},i.prototype.getLayer=function(t){return this.style.getLayer(t)},i.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},i.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},i.prototype.getFilter=function(t){return this.style.getFilter(t)},i.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},i.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},i.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},i.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},i.prototype.setLight=function(t,e){return void 0===e&&(e={}),this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)},i.prototype.getLight=function(){return this.style.getLight()},i.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},i.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},i.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},i.prototype.getContainer=function(){return this._container},i.prototype.getCanvasContainer=function(){return this._canvasContainer},i.prototype.getCanvas=function(){return this._canvas},i.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},i.prototype._detectMissingCSS=function(){"rgb(250, 128, 114)"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue("background-color")&&t.warnOnce("This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.")},i.prototype._setupContainer=function(){var t=this._container;t.classList.add("mapboxgl-map"),(this._missingCSSCanary=r.create("div","mapboxgl-canary",t)).style.visibility="hidden",this._detectMissingCSS();var e=this._canvasContainer=r.create("div","mapboxgl-canvas-container",t);this._interactive&&e.classList.add("mapboxgl-interactive"),this._canvas=r.create("canvas","mapboxgl-canvas",e),this._canvas.addEventListener("webglcontextlost",this._contextLost,!1),this._canvas.addEventListener("webglcontextrestored",this._contextRestored,!1),this._canvas.setAttribute("tabindex","0"),this._canvas.setAttribute("aria-label","Map");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var i=this._controlContainer=r.create("div","mapboxgl-control-container",t),a=this._controlPositions={};["top-left","top-right","bottom-left","bottom-right"].forEach((function(t){a[t]=r.create("div","mapboxgl-ctrl-"+t,i)}))},i.prototype._resizeCanvas=function(e,r){var n=t.browser.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+"px",this._canvas.style.height=r+"px"},i.prototype._setupPainter=function(){var r=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),n=this._canvas.getContext("webgl",r)||this._canvas.getContext("experimental-webgl",r);n?(this.painter=new _n(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error("Failed to initialize WebGL")))},i.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event("webglcontextlost",{originalEvent:e}))},i.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event("webglcontextrestored",{originalEvent:e}))},i.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},i.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},i.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},i.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},i.prototype._render=function(e){var r,n=this,i=0,a=this.painter.context.extTimerQuery;if(this.listens("gpu-timing-frame")&&(r=a.createQueryEXT(),a.beginQueryEXT(a.TIME_ELAPSED_EXT,r),i=t.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(e),!this._removed){var o=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var s=this.transform.zoom,l=t.browser.now();this.style.zoomHistory.update(s,l);var c=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),u=c.crossFadingFactor();1===u&&u===this._crossFadingFactor||(o=!0,this._crossFadingFactor=u),this.style.update(c)}if(this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration,showPadding:this.showPadding,gpuTiming:!!this.listens("gpu-timing-layer")}),this.fire(new t.Event("render")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event("load"))),this.style&&(this.style.hasTransitions()||o)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens("gpu-timing-frame")){var f=t.browser.now()-i;a.endQueryEXT(a.TIME_ELAPSED_EXT,r),setTimeout((function(){var e=a.getQueryObjectEXT(r,a.QUERY_RESULT_EXT)/1e6;a.deleteQueryEXT(r),n.fire(new t.Event("gpu-timing-frame",{cpuTime:f,gpuTime:e}))}),50)}if(this.listens("gpu-timing-layer")){var h=this.painter.collectGpuTimers();setTimeout((function(){var e=n.painter.queryGpuTimers(h);n.fire(new t.Event("gpu-timing-layer",{layerTimes:e}))}),50)}return this._sourcesDirty||this._styleDirty||this._placementDirty||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&(this._fullyLoaded||(this._fullyLoaded=!0),this.fire(new t.Event("idle"))),this}},i.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1){r[e].onRemove(this)}this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener("resize",this._onWindowResize,!1),t.window.removeEventListener("online",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension("WEBGL_lose_context");n&&n.loseContext(),Li(this._canvasContainer),Li(this._controlContainer),Li(this._missingCSSCanary),this._container.classList.remove("mapboxgl-map"),this._removed=!0,this.fire(new t.Event("remove"))},i.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame((function(t){e._frame=null,e._render(t)})))},i.prototype._onWindowOnline=function(){this._update()},i.prototype._onWindowResize=function(t){this._trackResize&&this.resize({originalEvent:t})._update()},a.showTileBoundaries.get=function(){return!!this._showTileBoundaries},a.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},a.showPadding.get=function(){return!!this._showPadding},a.showPadding.set=function(t){this._showPadding!==t&&(this._showPadding=t,this._update())},a.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},a.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},a.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},a.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},a.repaint.get=function(){return!!this._repaint},a.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},a.vertices.get=function(){return!!this._vertices},a.vertices.set=function(t){this._vertices=t,this._update()},i.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},a.version.get=function(){return t.version},Object.defineProperties(i.prototype,a),i}(xi);function Li(t){t.parentNode&&t.parentNode.removeChild(t)}var Ci={showCompass:!0,showZoom:!0,visualizePitch:!1},Pi=function(e){var n=this;this.options=t.extend({},Ci,e),this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-group"),this._container.addEventListener("contextmenu",(function(t){return t.preventDefault()})),this.options.showZoom&&(t.bindAll(["_setButtonTitle","_updateZoomButtons"],this),this._zoomInButton=this._createButton("mapboxgl-ctrl-zoom-in",(function(t){return n._map.zoomIn({},{originalEvent:t})})),r.create("span","mapboxgl-ctrl-icon",this._zoomInButton).setAttribute("aria-hidden",!0),this._zoomOutButton=this._createButton("mapboxgl-ctrl-zoom-out",(function(t){return n._map.zoomOut({},{originalEvent:t})})),r.create("span","mapboxgl-ctrl-icon",this._zoomOutButton).setAttribute("aria-hidden",!0)),this.options.showCompass&&(t.bindAll(["_rotateCompassArrow"],this),this._compass=this._createButton("mapboxgl-ctrl-compass",(function(t){n.options.visualizePitch?n._map.resetNorthPitch({},{originalEvent:t}):n._map.resetNorth({},{originalEvent:t})})),this._compassIcon=r.create("span","mapboxgl-ctrl-icon",this._compass),this._compassIcon.setAttribute("aria-hidden",!0))};Pi.prototype._updateZoomButtons=function(){var t=this._map.getZoom();this._zoomInButton.disabled=t===this._map.getMaxZoom(),this._zoomOutButton.disabled=t===this._map.getMinZoom()},Pi.prototype._rotateCompassArrow=function(){var t=this.options.visualizePitch?"scale("+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+") rotateX("+this._map.transform.pitch+"deg) rotateZ("+this._map.transform.angle*(180/Math.PI)+"deg)":"rotate("+this._map.transform.angle*(180/Math.PI)+"deg)";this._compassIcon.style.transform=t},Pi.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,"ZoomIn"),this._setButtonTitle(this._zoomOutButton,"ZoomOut"),this._map.on("zoom",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,"ResetBearing"),this.options.visualizePitch&&this._map.on("pitch",this._rotateCompassArrow),this._map.on("rotate",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Ii(this._map,this._compass,this.options.visualizePitch)),this._container},Pi.prototype.onRemove=function(){r.remove(this._container),this.options.showZoom&&this._map.off("zoom",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off("pitch",this._rotateCompassArrow),this._map.off("rotate",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map},Pi.prototype._createButton=function(t,e){var n=r.create("button",t,this._container);return n.type="button",n.addEventListener("click",e),n},Pi.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString("NavigationControl."+e);t.title=r,t.setAttribute("aria-label",r)};var Ii=function(e,n,i){void 0===i&&(i=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new Xn({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,i&&(this.mousePitch=new Zn({clickTolerance:e.dragRotate._mousePitch._clickTolerance})),t.bindAll(["mousedown","mousemove","mouseup","touchstart","touchmove","touchend","reset"],this),r.addEventListener(n,"mousedown",this.mousedown),r.addEventListener(n,"touchstart",this.touchstart,{passive:!1}),r.addEventListener(n,"touchmove",this.touchmove),r.addEventListener(n,"touchend",this.touchend),r.addEventListener(n,"touchcancel",this.reset)};function Oi(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var i=new t.LngLat(e.lng-360,e.lat),a=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(i).distSqr(r)<o?e=i:n.locationPoint(a).distSqr(r)<o&&(e=a)}for(;Math.abs(e.lng-n.center.lng)>180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ii.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ii.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ii.prototype.off=function(){var t=this.element;r.removeEventListener(t,"mousedown",this.mousedown),r.removeEventListener(t,"touchstart",this.touchstart,{passive:!1}),r.removeEventListener(t,"touchmove",this.touchmove),r.removeEventListener(t,"touchend",this.touchend),r.removeEventListener(t,"touchcancel",this.reset),this.offTemp()},Ii.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,"mousemove",this.mousemove),r.removeEventListener(t.window,"mouseup",this.mouseup)},Ii.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,"mousemove",this.mousemove),r.addEventListener(t.window,"mouseup",this.mouseup)},Ii.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ii.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ii.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:"mousedown",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ii.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ii.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ii.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var zi={center:"translate(-50%,-50%)",top:"translate(-50%,0)","top-left":"translate(0,0)","top-right":"translate(-100%,0)",bottom:"translate(-50%,-100%)","bottom-left":"translate(0,-100%)","bottom-right":"translate(-100%,-100%)",left:"translate(0,-50%)",right:"translate(-100%,-50%)"};function Di(t,e,r){var n=t.classList;for(var i in zi)n.remove("mapboxgl-"+r+"-anchor-"+i);n.add("mapboxgl-"+r+"-anchor-"+e)}var Ri,Fi=function(e){function n(n,i){var a=this;if(e.call(this),(n instanceof t.window.HTMLElement||i)&&(n=t.extend({element:n},i)),t.bindAll(["_update","_onMove","_onUp","_addDragHandler","_onMapClick","_onKeyPress"],this),this._anchor=n&&n.anchor||"center",this._color=n&&n.color||"#3FB1CE",this._draggable=n&&n.draggable||!1,this._state="inactive",this._rotation=n&&n.rotation||0,this._rotationAlignment=n&&n.rotationAlignment||"auto",this._pitchAlignment=n&&n.pitchAlignment&&"auto"!==n.pitchAlignment?n.pitchAlignment:this._rotationAlignment,n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else{this._defaultMarker=!0,this._element=r.create("div"),this._element.setAttribute("aria-label","Map marker");var o=r.createNS("http://www.w3.org/2000/svg","svg");o.setAttributeNS(null,"display","block"),o.setAttributeNS(null,"height","41px"),o.setAttributeNS(null,"width","27px"),o.setAttributeNS(null,"viewBox","0 0 27 41");var s=r.createNS("http://www.w3.org/2000/svg","g");s.setAttributeNS(null,"stroke","none"),s.setAttributeNS(null,"stroke-width","1"),s.setAttributeNS(null,"fill","none"),s.setAttributeNS(null,"fill-rule","evenodd");var l=r.createNS("http://www.w3.org/2000/svg","g");l.setAttributeNS(null,"fill-rule","nonzero");var c=r.createNS("http://www.w3.org/2000/svg","g");c.setAttributeNS(null,"transform","translate(3.0, 29.0)"),c.setAttributeNS(null,"fill","#000000");for(var u=0,f=[{rx:"10.5",ry:"5.25002273"},{rx:"10.5",ry:"5.25002273"},{rx:"9.5",ry:"4.77275007"},{rx:"8.5",ry:"4.29549936"},{rx:"7.5",ry:"3.81822308"},{rx:"6.5",ry:"3.34094679"},{rx:"5.5",ry:"2.86367051"},{rx:"4.5",ry:"2.38636864"}];u<f.length;u+=1){var h=f[u],p=r.createNS("http://www.w3.org/2000/svg","ellipse");p.setAttributeNS(null,"opacity","0.04"),p.setAttributeNS(null,"cx","10.5"),p.setAttributeNS(null,"cy","5.80029008"),p.setAttributeNS(null,"rx",h.rx),p.setAttributeNS(null,"ry",h.ry),c.appendChild(p)}var d=r.createNS("http://www.w3.org/2000/svg","g");d.setAttributeNS(null,"fill",this._color);var m=r.createNS("http://www.w3.org/2000/svg","path");m.setAttributeNS(null,"d","M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z"),d.appendChild(m);var g=r.createNS("http://www.w3.org/2000/svg","g");g.setAttributeNS(null,"opacity","0.25"),g.setAttributeNS(null,"fill","#000000");var v=r.createNS("http://www.w3.org/2000/svg","path");v.setAttributeNS(null,"d","M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z"),g.appendChild(v);var y=r.createNS("http://www.w3.org/2000/svg","g");y.setAttributeNS(null,"transform","translate(6.0, 7.0)"),y.setAttributeNS(null,"fill","#FFFFFF");var x=r.createNS("http://www.w3.org/2000/svg","g");x.setAttributeNS(null,"transform","translate(8.0, 8.0)");var b=r.createNS("http://www.w3.org/2000/svg","circle");b.setAttributeNS(null,"fill","#000000"),b.setAttributeNS(null,"opacity","0.25"),b.setAttributeNS(null,"cx","5.5"),b.setAttributeNS(null,"cy","5.5"),b.setAttributeNS(null,"r","5.4999962");var _=r.createNS("http://www.w3.org/2000/svg","circle");_.setAttributeNS(null,"fill","#FFFFFF"),_.setAttributeNS(null,"cx","5.5"),_.setAttributeNS(null,"cy","5.5"),_.setAttributeNS(null,"r","5.4999962"),x.appendChild(b),x.appendChild(_),l.appendChild(c),l.appendChild(d),l.appendChild(g),l.appendChild(y),l.appendChild(x),o.appendChild(l),this._element.appendChild(o),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add("mapboxgl-marker"),this._element.addEventListener("dragstart",(function(t){t.preventDefault()})),this._element.addEventListener("mousedown",(function(t){t.preventDefault()})),this._element.addEventListener("focus",(function(){var t=a._map.getContainer();t.scrollTop=0,t.scrollLeft=0})),Di(this._element,this._anchor,"marker"),this._popup=null}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on("move",this._update),t.on("moveend",this._update),this.setDraggable(this._draggable),this._update(),this._map.on("click",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off("click",this._onMapClick),this._map.off("move",this._update),this._map.off("moveend",this._update),this._map.off("mousedown",this._addDragHandler),this._map.off("touchstart",this._addDragHandler),this._map.off("mouseup",this._onUp),this._map.off("touchend",this._onUp),this._map.off("mousemove",this._onMove),this._map.off("touchmove",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener("keypress",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute("tabindex")),t){if(!("offset"in t.options)){var e=Math.sqrt(Math.pow(13.5,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],"top-left":[0,0],"top-right":[0,0],bottom:[0,-38.1],"bottom-left":[e,-1*(24.6+e)],"bottom-right":[-e,-1*(24.6+e)],left:[13.5,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute("tabindex"),this._originalTabIndex||this._element.setAttribute("tabindex","0"),this._element.addEventListener("keypress",this._onKeyPress)}return this},n.prototype._onKeyPress=function(t){var e=t.code,r=t.charCode||t.keyCode;"Space"!==e&&"Enter"!==e&&32!==r&&13!==r||this.togglePopup()},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=Oi(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var e="";"viewport"===this._rotationAlignment||"auto"===this._rotationAlignment?e="rotateZ("+this._rotation+"deg)":"map"===this._rotationAlignment&&(e="rotateZ("+(this._rotation-this._map.getBearing())+"deg)");var n="";"viewport"===this._pitchAlignment||"auto"===this._pitchAlignment?n="rotateX(0deg)":"map"===this._pitchAlignment&&(n="rotateX("+this._map.getPitch()+"deg)"),t&&"moveend"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,zi[this._anchor]+" translate("+this._pos.x+"px, "+this._pos.y+"px) "+n+" "+e)}},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents="none","pending"===this._state&&(this._state="active",this.fire(new t.Event("dragstart"))),this.fire(new t.Event("drag"))},n.prototype._onUp=function(){this._element.style.pointerEvents="auto",this._positionDelta=null,this._map.off("mousemove",this._onMove),this._map.off("touchmove",this._onMove),"active"===this._state&&this.fire(new t.Event("dragend")),this._state="inactive"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._state="pending",this._map.on("mousemove",this._onMove),this._map.on("touchmove",this._onMove),this._map.once("mouseup",this._onUp),this._map.once("touchend",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on("mousedown",this._addDragHandler),this._map.on("touchstart",this._addDragHandler)):(this._map.off("mousedown",this._addDragHandler),this._map.off("touchstart",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||"auto",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&"auto"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Bi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Ni=0,ji=!1,Ui=function(e){function n(r){e.call(this),this.options=t.extend({},Bi,r),t.bindAll(["_onSuccess","_onError","_onZoom","_finish","_setupUI","_updateCamera","_updateMarker"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.onAdd=function(e){var n;return this._map=e,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-group"),n=this._setupUI,void 0!==Ri?n(Ri):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:"geolocation"}).then((function(t){Ri="denied"!==t.state,n(Ri)})):(Ri=!!t.window.navigator.geolocation,n(Ri)),this._container},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off("zoom",this._onZoom),this._map=void 0,Ni=0,ji=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitude<e.getWest()||r.longitude>e.getEast()||r.latitude<e.getSouth()||r.latitude>e.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case"WAITING_ACTIVE":this._watchState="ACTIVE_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error");break;case"ACTIVE_LOCK":this._watchState="ACTIVE_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting");break;case"BACKGROUND":this._watchState="BACKGROUND_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event("outofmaxbounds",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case"WAITING_ACTIVE":case"ACTIVE_LOCK":case"ACTIVE_ERROR":this._watchState="ACTIVE_LOCK",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"BACKGROUND":case"BACKGROUND_ERROR":this._watchState="BACKGROUND",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background")}this.options.showUserLocation&&"OFF"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&"ACTIVE_LOCK"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove("mapboxgl-user-location-dot-stale"),this.fire(new t.Event("geolocate",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+"px",this._circleElement.style.height=i+"px"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState="OFF",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.disabled=!0;var r=this._map._getUIString("GeolocateControl.LocationNotAvailable");this._geolocateButton.title=r,this._geolocateButton.setAttribute("aria-label",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&ji)return;this._setErrorState()}"OFF"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add("mapboxgl-user-location-dot-stale"),this.fire(new t.Event("error",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener("contextmenu",(function(t){return t.preventDefault()})),this._geolocateButton=r.create("button","mapboxgl-ctrl-geolocate",this._container),r.create("span","mapboxgl-ctrl-icon",this._geolocateButton).setAttribute("aria-hidden",!0),this._geolocateButton.type="button",!1===e){t.warnOnce("Geolocation support is not available so the GeolocateControl will be disabled.");var i=this._map._getUIString("GeolocateControl.LocationNotAvailable");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute("aria-label",i)}else{var a=this._map._getUIString("GeolocateControl.FindMyLocation");this._geolocateButton.title=a,this._geolocateButton.setAttribute("aria-label",a)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute("aria-pressed","false"),this._watchState="OFF"),this.options.showUserLocation&&(this._dotElement=r.create("div","mapboxgl-user-location-dot"),this._userLocationDotMarker=new Fi(this._dotElement),this._circleElement=r.create("div","mapboxgl-user-location-accuracy-circle"),this._accuracyCircleMarker=new Fi({element:this._circleElement,pitchAlignment:"map"}),this.options.trackUserLocation&&(this._watchState="OFF"),this._map.on("zoom",this._onZoom)),this._geolocateButton.addEventListener("click",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on("movestart",(function(e){var r=e.originalEvent&&"resize"===e.originalEvent.type;e.geolocateSource||"ACTIVE_LOCK"!==n._watchState||r||(n._watchState="BACKGROUND",n._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background"),n._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),n.fire(new t.Event("trackuserlocationend")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce("Geolocate control triggered before added to a map"),!1;if(this.options.trackUserLocation){switch(this._watchState){case"OFF":this._watchState="WAITING_ACTIVE",this.fire(new t.Event("trackuserlocationstart"));break;case"WAITING_ACTIVE":case"ACTIVE_LOCK":case"ACTIVE_ERROR":case"BACKGROUND_ERROR":Ni--,ji=!1,this._watchState="OFF",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this.fire(new t.Event("trackuserlocationend"));break;case"BACKGROUND":this._watchState="ACTIVE_LOCK",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event("trackuserlocationstart"))}switch(this._watchState){case"WAITING_ACTIVE":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"ACTIVE_LOCK":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"ACTIVE_ERROR":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error");break;case"BACKGROUND":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background");break;case"BACKGROUND_ERROR":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background-error")}if("OFF"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.setAttribute("aria-pressed","true"),++Ni>1?(e={maximumAge:6e5,timeout:0},ji=!0):(e=this.options.positionOptions,ji=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.setAttribute("aria-pressed","false"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Vi={maxWidth:100,unit:"metric"},Hi=function(e){this.options=t.extend({},Vi,e),t.bindAll(["_onMove","setUnit"],this)};function qi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&"imperial"===r.unit){var l=3.2808*s;if(l>5280)Gi(e,n,l/5280,t._getUIString("ScaleControl.Miles"));else Gi(e,n,l,t._getUIString("ScaleControl.Feet"))}else if(r&&"nautical"===r.unit){Gi(e,n,s/1852,t._getUIString("ScaleControl.NauticalMiles"))}else s>=1e3?Gi(e,n,s/1e3,t._getUIString("ScaleControl.Kilometers")):Gi(e,n,s,t._getUIString("ScaleControl.Meters"))}function Gi(t,e,r,n){var i,a,o,s=(i=r,a=Math.pow(10,(""+Math.floor(i)).length-1),o=(o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o),a*o),l=s/r;t.style.width=e*l+"px",t.innerHTML=s+"&nbsp;"+n}Hi.prototype.getDefaultPosition=function(){return"bottom-left"},Hi.prototype._onMove=function(){qi(this._map,this._container,this.options)},Hi.prototype.onAdd=function(t){return this._map=t,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-scale",t.getContainer()),this._map.on("move",this._onMove),this._onMove(),this._container},Hi.prototype.onRemove=function(){r.remove(this._container),this._map.off("move",this._onMove),this._map=void 0},Hi.prototype.setUnit=function(t){this.options.unit=t,qi(this._map,this._container,this.options)};var Yi=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce("Full screen control 'container' must be a DOM element.")),t.bindAll(["_onClickFullscreen","_changeIcon"],this),"onfullscreenchange"in t.window.document?this._fullscreenchange="fullscreenchange":"onmozfullscreenchange"in t.window.document?this._fullscreenchange="mozfullscreenchange":"onwebkitfullscreenchange"in t.window.document?this._fullscreenchange="webkitfullscreenchange":"onmsfullscreenchange"in t.window.document&&(this._fullscreenchange="MSFullscreenChange")};Yi.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-group"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display="none",t.warnOnce("This device does not support fullscreen mode.")),this._controlContainer},Yi.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},Yi.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},Yi.prototype._setupUI=function(){var e=this._fullscreenButton=r.create("button","mapboxgl-ctrl-fullscreen",this._controlContainer);r.create("span","mapboxgl-ctrl-icon",e).setAttribute("aria-hidden",!0),e.type="button",this._updateTitle(),this._fullscreenButton.addEventListener("click",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},Yi.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute("aria-label",t),this._fullscreenButton.title=t},Yi.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?"FullscreenControl.Exit":"FullscreenControl.Enter")},Yi.prototype._isFullscreen=function(){return this._fullscreen},Yi.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle("mapboxgl-ctrl-shrink"),this._fullscreenButton.classList.toggle("mapboxgl-ctrl-fullscreen"),this._updateTitle())},Yi.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var Wi={closeButton:!0,closeOnClick:!0,className:"",maxWidth:"240px"},Xi=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(Wi),r),t.bindAll(["_update","_onClose","remove","_onMouseMove","_onMouseUp","_onDrag"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on("click",this._onClose),this.options.closeOnMove&&this._map.on("move",this._onClose),this._map.on("remove",this.remove),this._update(),this._trackPointer?(this._map.on("mousemove",this._onMouseMove),this._map.on("mouseup",this._onMouseUp),this._container&&this._container.classList.add("mapboxgl-popup-track-pointer"),this._map._canvasContainer.classList.add("mapboxgl-track-pointer")):this._map.on("move",this._update),this.fire(new t.Event("open")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off("move",this._update),this._map.off("move",this._onClose),this._map.off("click",this._onClose),this._map.off("remove",this.remove),this._map.off("mousemove",this._onMouseMove),this._map.off("mouseup",this._onMouseUp),this._map.off("drag",this._onDrag),delete this._map),this.fire(new t.Event("close")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on("move",this._update),this._map.off("mousemove",this._onMouseMove),this._container&&this._container.classList.remove("mapboxgl-popup-track-pointer"),this._map._canvasContainer.classList.remove("mapboxgl-track-pointer")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off("move",this._update),this._map.on("mousemove",this._onMouseMove),this._map.on("drag",this._onDrag),this._container&&this._container.classList.add("mapboxgl-popup-track-pointer"),this._map._canvasContainer.classList.add("mapboxgl-track-pointer")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),i=t.window.document.createElement("body");for(i.innerHTML=e;r=i.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){return this._createContent(),this._content.appendChild(t),this._update(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createContent=function(){this._content&&r.remove(this._content),this._content=r.create("div","mapboxgl-popup-content",this._container),this.options.closeButton&&(this._closeButton=r.create("button","mapboxgl-popup-close-button",this._content),this._closeButton.type="button",this._closeButton.setAttribute("aria-label","Close popup"),this._closeButton.innerHTML="&#215;",this._closeButton.addEventListener("click",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(e){var n=this,i=this._lngLat||this._trackPointer;if(this._map&&i&&this._content&&(this._container||(this._container=r.create("div","mapboxgl-popup",this._map.getContainer()),this._tip=r.create("div","mapboxgl-popup-tip",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(" ").forEach((function(t){return n._container.classList.add(t)})),this._trackPointer&&this._container.classList.add("mapboxgl-popup-track-pointer")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=Oi(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||e)){var a=this._pos=this._trackPointer&&e?e:this._map.project(this._lngLat),o=this.options.anchor,s=function e(r){if(r){if("number"==typeof r){var n=Math.round(Math.sqrt(.5*Math.pow(r,2)));return{center:new t.Point(0,0),top:new t.Point(0,r),"top-left":new t.Point(n,n),"top-right":new t.Point(-n,n),bottom:new t.Point(0,-r),"bottom-left":new t.Point(n,-n),"bottom-right":new t.Point(-n,-n),left:new t.Point(r,0),right:new t.Point(-r,0)}}if(r instanceof t.Point||Array.isArray(r)){var i=t.Point.convert(r);return{center:i,top:i,"top-left":i,"top-right":i,bottom:i,"bottom-left":i,"bottom-right":i,left:i,right:i}}return{center:t.Point.convert(r.center||[0,0]),top:t.Point.convert(r.top||[0,0]),"top-left":t.Point.convert(r["top-left"]||[0,0]),"top-right":t.Point.convert(r["top-right"]||[0,0]),bottom:t.Point.convert(r.bottom||[0,0]),"bottom-left":t.Point.convert(r["bottom-left"]||[0,0]),"bottom-right":t.Point.convert(r["bottom-right"]||[0,0]),left:t.Point.convert(r.left||[0,0]),right:t.Point.convert(r.right||[0,0])}}return e(new t.Point(0,0))}(this.options.offset);if(!o){var l,c=this._container.offsetWidth,u=this._container.offsetHeight;l=a.y+s.bottom.y<u?["top"]:a.y>this._map.transform.height-u?["bottom"]:[],a.x<c/2?l.push("left"):a.x>this._map.transform.width-c/2&&l.push("right"),o=0===l.length?"bottom":l.join("-")}var f=a.add(s[o]).round();r.setTransform(this._container,zi[o]+" translate("+f.x+"px,"+f.y+"px)"),Di(this._container,o,"popup")}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);var Zi={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Ei,NavigationControl:Pi,GeolocateControl:Ui,AttributionControl:bi,ScaleControl:Hi,FullscreenControl:Yi,Popup:Xi,Marker:Fi,Style:qe,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){Bt().acquire(zt)},clearPrewarmedResources:function(){var t=Rt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(zt),Rt=null):console.warn("Could not clear WebWorkers since there are active Map instances that still reference it. 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-/*
- * @copyright 2016 Sean Connelly (@voidqk), http://syntheti.cc
- * @license MIT
- * @preserve Project Home: https://github.com/voidqk/polybooljs
- */
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t[e+3]|t[e+2]<<8|t[e+1]<<16|16777216*t[e]},o.prototype=Object.create(Error.prototype),o.prototype.constructor=o,r.ProbeError=o},{stream:280,"stream-parser":295}],258:[function(t,e,r){"use strict";function n(t,e){var r=new Error(t);return r.code=e,r}function i(t){try{return decodeURIComponent(escape(t))}catch(e){return t}}function a(t,e,r){this.input=t.subarray(e,r),this.start=e;var i=String.fromCharCode.apply(null,this.input.subarray(0,4));if("II*\0"!==i&&"MM\0*"!==i)throw n("invalid TIFF signature","EBADDATA");this.big_endian="M"===i[0]}a.prototype.each=function(t){this.aborted=!1;var e=this.read_uint32(4);for(this.ifds_to_read=[{id:0,offset:e}];this.ifds_to_read.length>0&&!this.aborted;){var r=this.ifds_to_read.shift();r.offset&&this.scan_ifd(r.id,r.offset,t)}},a.prototype.read_uint16=function(t){var e=this.input;if(t+2>e.length)throw n("unexpected EOF","EBADDATA");return this.big_endian?256*e[t]+e[t+1]:e[t]+256*e[t+1]},a.prototype.read_uint32=function(t){var e=this.input;if(t+4>e.length)throw n("unexpected EOF","EBADDATA");return this.big_endian?16777216*e[t]+65536*e[t+1]+256*e[t+2]+e[t+3]:e[t]+256*e[t+1]+65536*e[t+2]+16777216*e[t+3]},a.prototype.is_subifd_link=function(t,e){return 0===t&&34665===e||0===t&&34853===e||34665===t&&40965===e},a.prototype.exif_format_length=function(t){switch(t){case 1:case 2:case 6:case 7:return 1;case 3:case 8:return 2;case 4:case 9:case 11:return 4;case 5:case 10:case 12:return 8;default:return 0}},a.prototype.exif_format_read=function(t,e){var r;switch(t){case 1:case 2:return r=this.input[e];case 6:return(r=this.input[e])|33554430*(128&r);case 3:return r=this.read_uint16(e);case 8:return(r=this.read_uint16(e))|131070*(32768&r);case 4:return r=this.read_uint32(e);case 9:return 0|(r=this.read_uint32(e));case 5:case 10:case 11:case 12:case 7:default:return null}},a.prototype.scan_ifd=function(t,e,r){var a=this.read_uint16(e);e+=2;for(var o=0;o<a;o++){var s=this.read_uint16(e),l=this.read_uint16(e+2),c=this.read_uint32(e+4),u=this.exif_format_length(l),f=c*u,h=f<=4?e+8:this.read_uint32(e+8),p=!1;if(h+f>this.input.length)throw n("unexpected EOF","EBADDATA");for(var d=[],m=h,g=0;g<c;g++,m+=u){var v=this.exif_format_read(l,m);if(null===v){d=null;break}d.push(v)}if(Array.isArray(d)&&2===l&&(d=i(String.fromCharCode.apply(null,d)))&&"\0"===d[d.length-1]&&(d=d.slice(0,-1)),this.is_subifd_link(t,s)&&Array.isArray(d)&&Number.isInteger(d[0])&&d[0]>0&&(this.ifds_to_read.push({id:s,offset:d[0]}),p=!0),!1===r({is_big_endian:this.big_endian,ifd:t,tag:s,format:l,count:c,entry_offset:e+this.start,data_length:f,data_offset:h+this.start,value:d,is_subifd_link:p}))return void(this.aborted=!0);e+=12}0===t&&this.ifds_to_read.push({id:1,offset:this.read_uint32(e)})},e.exports.ExifParser=a,e.exports.get_orientation=function(t){var e=0;try{return new a(t,0,t.length).each((function(t){if(0===t.ifd&&274===t.tag&&Array.isArray(t.value))return e=t.value[0],!1})),e}catch(t){return-1}}},{}],259:[function(t,e,r){"use strict";var n=t("./common").readUInt16BE,i=t("./common").readUInt32BE;function a(t,e){if(t.length<4+e)return null;var r=i(t,e);return t.length<r+e||r<8?null:{boxtype:String.fromCharCode.apply(null,t.slice(e+4,e+8)),data:t.slice(e+8,e+r),end:e+r}}function o(t,e){for(var r=0;;){var n=a(t,r);if(!n)break;switch(n.boxtype){case"ispe":e.sizes.push({width:i(n.data,4),height:i(n.data,8)});break;case"irot":e.transforms.push({type:"irot",value:3&n.data[0]});break;case"imir":e.transforms.push({type:"imir",value:1&n.data[0]})}r=n.end}}function s(t,e,r){for(var n=0,i=0;i<r;i++)n=256*n+(t[e+i]||0);return n}function l(t,e){for(var r=t[4]>>4&15,i=15&t[4],a=t[5]>>4&15,o=n(t,6),l=8,c=0;c<o;c++){var u=n(t,l),f=n(t,l+=2),h=s(t,l+=2,a),p=n(t,l+=a);if(l+=2,0===f&&1===p){var d=s(t,l,r),m=s(t,l+r,i);e.item_loc[u]={length:m,offset:d+h}}l+=p*(r+i)}}function c(t,e){for(var r=n(t,4),i=6,o=0;o<r;o++){var s=a(t,i);if(!s)break;if("infe"===s.boxtype){for(var l=n(s.data,4),c="",u=8;u<s.data.length&&s.data[u];u++)c+=String.fromCharCode(s.data[u]);e.item_inf[c]=l}i=s.end}}function u(t,e){for(var r=0;;){var n=a(t,r);if(!n)break;"ipco"===n.boxtype&&o(n.data,e),r=n.end}}e.exports.unbox=a,e.exports.readSizeFromMeta=function(t){var e={sizes:[],transforms:[],item_inf:{},item_loc:{}};if(function(t,e){for(var r=4;;){var n=a(t,r);if(!n)break;"iprp"===n.boxtype&&u(n.data,e),"iloc"===n.boxtype&&l(n.data,e),"iinf"===n.boxtype&&c(n.data,e),r=n.end}}(t,e),e.sizes.length){var r,n,i,o=(r=e.sizes,n=r.reduce((function(t,e){return t.width>e.width||t.width===e.width&&t.height>e.height?t:e})),i=r.reduce((function(t,e){return t.height>e.height||t.height===e.height&&t.width>e.width?t:e})),n.width>i.height||n.width===i.height&&n.height>i.width?n:i),s=1;e.transforms.forEach((function(t){var e={1:6,2:5,3:8,4:7,5:4,6:3,7:2,8:1},r={1:4,2:3,3:2,4:1,5:6,6:5,7:8,8:7};if("imir"===t.type&&(s=0===t.value?r[s]:e[s=e[s=r[s]]]),"irot"===t.type)for(var n=0;n<t.value;n++)s=e[s]}));var f=null;return e.item_inf.Exif&&(f=e.item_loc[e.item_inf.Exif]),{width:o.width,height:o.height,orientation:e.transforms.length?s:null,variants:e.sizes,exif_location:f}}},e.exports.getMimeType=function(t){var e=String.fromCharCode.apply(null,t.slice(0,4)),r={};r[e]=!0;for(var n=8;n<t.length;n+=4)r[String.fromCharCode.apply(null,t.slice(n,n+4))]=!0;if(r.mif1||r.msf1||r.miaf)return"avif"===e||"avis"===e||"avio"===e?{type:"avif",mime:"image/avif"}:"heic"===e||"heix"===e?{type:"heic",mime:"image/heic"}:"hevc"===e||"hevx"===e?{type:"heic",mime:"image/heic-sequence"}:r.avif||r.avis?{type:"avif",mime:"image/avif"}:r.heic||r.heix||r.hevc||r.hevx||r.heis?r.msf1?{type:"heif",mime:"image/heif-sequence"}:{type:"heif",mime:"image/heif"}:{type:"avif",mime:"image/avif"}}},{"./common":257}],260:[function(t,e,r){"use strict";var n=t("../common").str2arr,i=t("../common").sliceEq,a=t("../common").readUInt32BE,o=t("../miaf_utils"),s=t("../exif_utils"),l=n("ftyp");e.exports=function(t){if(i(t,4,l)){var e=o.unbox(t,0);if(e){var r=o.getMimeType(e.data);if(r){for(var n,c=e.end;;){var u=o.unbox(t,c);if(!u)break;if(c=u.end,"mdat"===u.boxtype)return;if("meta"===u.boxtype){n=u.data;break}}if(n){var f=o.readSizeFromMeta(n);if(f){var h={width:f.width,height:f.height,type:r.type,mime:r.mime,wUnits:"px",hUnits:"px"};if(f.variants.length>1&&(h.variants=f.variants),f.orientation&&(h.orientation=f.orientation),f.exif_location&&f.exif_location.offset+f.exif_location.length<=t.length){var p=a(t,f.exif_location.offset),d=t.slice(f.exif_location.offset+p+4,f.exif_location.offset+f.exif_location.length),m=s.get_orientation(d);m>0&&(h.orientation=m)}return h}}}}}}},{"../common":257,"../exif_utils":258,"../miaf_utils":259}],261:[function(t,e,r){"use strict";var n=t("../common").str2arr,i=t("../common").sliceEq,a=t("../common").readUInt16LE,o=n("BM");e.exports=function(t){if(!(t.length<26)&&i(t,0,o))return{width:a(t,18),height:a(t,22),type:"bmp",mime:"image/bmp",wUnits:"px",hUnits:"px"}}},{"../common":257}],262:[function(t,e,r){"use strict";var n=t("../common").str2arr,i=t("../common").sliceEq,a=t("../common").readUInt16LE,o=n("GIF87a"),s=n("GIF89a");e.exports=function(t){if(!(t.length<10)&&(i(t,0,o)||i(t,0,s)))return{width:a(t,6),height:a(t,8),type:"gif",mime:"image/gif",wUnits:"px",hUnits:"px"}}},{"../common":257}],263:[function(t,e,r){"use strict";var n=t("../common").readUInt16LE;e.exports=function(t){var e=n(t,0),r=n(t,2),i=n(t,4);if(0===e&&1===r&&i){for(var a=[],o={width:0,height:0},s=0;s<i;s++){var l=t[6+16*s]||256,c=t[6+16*s+1]||256,u={width:l,height:c};a.push(u),(l>o.width||c>o.height)&&(o=u)}return{width:o.width,height:o.height,variants:a,type:"ico",mime:"image/x-icon",wUnits:"px",hUnits:"px"}}}},{"../common":257}],264:[function(t,e,r){"use strict";var n=t("../common").readUInt16BE,i=t("../common").str2arr,a=t("../common").sliceEq,o=t("../exif_utils"),s=i("Exif\0\0");e.exports=function(t){if(!(t.length<2)&&255===t[0]&&216===t[1]&&255===t[2])for(var e=2;;){for(;;){if(t.length-e<2)return;if(255===t[e++])break}for(var r,i,l=t[e++];255===l;)l=t[e++];if(208<=l&&l<=217||1===l)r=0;else{if(!(192<=l&&l<=254))return;if(t.length-e<2)return;r=n(t,e)-2,e+=2}if(217===l||218===l)return;if(225===l&&r>=10&&a(t,e,s)&&(i=o.get_orientation(t.slice(e+6,e+r))),r>=5&&192<=l&&l<=207&&196!==l&&200!==l&&204!==l){if(t.length-e<r)return;var c={width:n(t,e+3),height:n(t,e+1),type:"jpg",mime:"image/jpeg",wUnits:"px",hUnits:"px"};return i>0&&(c.orientation=i),c}e+=r}}},{"../common":257,"../exif_utils":258}],265:[function(t,e,r){"use strict";var n=t("../common").str2arr,i=t("../common").sliceEq,a=t("../common").readUInt32BE,o=n("\x89PNG\r\n\x1a\n"),s=n("IHDR");e.exports=function(t){if(!(t.length<24)&&i(t,0,o)&&i(t,12,s))return{width:a(t,16),height:a(t,20),type:"png",mime:"image/png",wUnits:"px",hUnits:"px"}}},{"../common":257}],266:[function(t,e,r){"use strict";var n=t("../common").str2arr,i=t("../common").sliceEq,a=t("../common").readUInt32BE,o=n("8BPS\0\x01");e.exports=function(t){if(!(t.length<22)&&i(t,0,o))return{width:a(t,18),height:a(t,14),type:"psd",mime:"image/vnd.adobe.photoshop",wUnits:"px",hUnits:"px"}}},{"../common":257}],267:[function(t,e,r){"use strict";function n(t){return"number"==typeof t&&isFinite(t)&&t>0}var 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thickness * normal * .5 * lineOffset / viewport.zw;\n\n\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\n\n\tfragColor = color / 255.;\n}\n"]),frag:o(["precision highp float;\n#define GLSLIFY 1\n\nuniform float dashLength, pixelRatio, thickness, opacity, id;\nuniform sampler2D dashTexture;\n\nvarying vec4 fragColor;\nvarying vec2 tangent;\n\nvoid main() {\n\tfloat alpha = 1.;\n\n\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\n\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\n\n\tgl_FragColor = fragColor;\n\tgl_FragColor.a *= alpha * opacity * dash;\n}\n"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:t.prop("positionFractBuffer"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:t.prop("positionFractBuffer"),stride:8,offset:16,divisor:1},color:{buffer:t.prop("colorBuffer"),stride:4,offset:0,divisor:1}}},n));try{e=t(a({cull:{enable:!0,face:"back"},vert:o(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec2 aCoord, bCoord, nextCoord, prevCoord;\nattribute vec4 aColor, bColor;\nattribute float lineEnd, lineTop;\n\nuniform vec2 scale, translate;\nuniform float thickness, pixelRatio, id, depth;\nuniform vec4 viewport;\nuniform float miterLimit, miterMode;\n\nvarying vec4 fragColor;\nvarying vec4 startCutoff, endCutoff;\nvarying vec2 tangent;\nvarying vec2 startCoord, endCoord;\nvarying float enableStartMiter, enableEndMiter;\n\nconst float REVERSE_THRESHOLD = -.875;\nconst float MIN_DIFF = 1e-6;\n\n// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\n// TODO: precalculate dot products, normalize things beforehead etc.\n// TODO: refactor to rectangular algorithm\n\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\n\tvec2 diff = b - a;\n\tvec2 perp = normalize(vec2(-diff.y, diff.x));\n\treturn dot(p - a, perp);\n}\n\nbool isNaN( float val ){\n  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\n}\n\nvoid main() {\n\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\n\n  vec2 adjustedScale;\n  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\n  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\n\n  vec2 scaleRatio = adjustedScale * viewport.zw;\n\tvec2 normalWidth = thickness / scaleRatio;\n\n\tfloat lineStart = 1. - lineEnd;\n\tfloat lineBot = 1. - lineTop;\n\n\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\n\n\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\n\n\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\n\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\n\n\tvec2 prevDiff = aCoord - prevCoord;\n\tvec2 currDiff = bCoord - aCoord;\n\tvec2 nextDiff = nextCoord - bCoord;\n\n\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\n\tvec2 currTangent = normalize(currDiff * scaleRatio);\n\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\n\n\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\n\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\n\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\n\n\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\n\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\n\n\t// collapsed/unidirectional segment cases\n\t// FIXME: there should be more elegant solution\n\tvec2 prevTanDiff = abs(prevTangent - currTangent);\n\tvec2 nextTanDiff = abs(nextTangent - currTangent);\n\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\n\t\tstartJoinDirection = currNormal;\n\t}\n\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\n\t\tendJoinDirection = currNormal;\n\t}\n\tif (aCoord == bCoord) {\n\t\tendJoinDirection = startJoinDirection;\n\t\tcurrNormal = prevNormal;\n\t\tcurrTangent = prevTangent;\n\t}\n\n\ttangent = currTangent;\n\n\t//calculate join shifts relative to normals\n\tfloat startJoinShift = dot(currNormal, startJoinDirection);\n\tfloat endJoinShift = dot(currNormal, endJoinDirection);\n\n\tfloat startMiterRatio = abs(1. / startJoinShift);\n\tfloat endMiterRatio = abs(1. / endJoinShift);\n\n\tvec2 startJoin = startJoinDirection * startMiterRatio;\n\tvec2 endJoin = endJoinDirection * endMiterRatio;\n\n\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\n\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\n\tstartBotJoin = -startTopJoin;\n\n\tendTopJoin = sign(endJoinShift) * endJoin * .5;\n\tendBotJoin = -endTopJoin;\n\n\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\n\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\n\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\n\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\n\n\t//miter anti-clipping\n\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\n\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\n\n\t//prevent close to reverse direction switch\n\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\n\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\n\n\tif (prevReverse) {\n\t\t//make join rectangular\n\t\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\n\t\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\n\t\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\n\t\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\n\t}\n\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\n\t\t//handle miter clipping\n\t\tbTopCoord -= normalWidth * endTopJoin;\n\t\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\n\t}\n\n\tif (nextReverse) {\n\t\t//make join rectangular\n\t\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\n\t\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\n\t\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\n\t\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\n\t}\n\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\n\t\t//handle miter clipping\n\t\taBotCoord -= normalWidth * startBotJoin;\n\t\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\n\t}\n\n\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\n\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\n\n\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\n\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\n\n\t//position is normalized 0..1 coord on the screen\n\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\n\n\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\n\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\n\n\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\n\n\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\n\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\n\n\t//bevel miter cutoffs\n\tif (miterMode == 1.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\n\t\t\tstartCutoff = vec4(aCoord, aCoord);\n\t\t\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\n\t\t\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tstartCutoff += viewport.xyxy;\n\t\t\tstartCutoff += startMiterWidth.xyxy;\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\n\t\t\tendCutoff = vec4(bCoord, bCoord);\n\t\t\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\n\t\t\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tendCutoff += viewport.xyxy;\n\t\t\tendCutoff += endMiterWidth.xyxy;\n\t\t}\n\t}\n\n\t//round miter cutoffs\n\telse if (miterMode == 2.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\n\t\t\tstartCutoff = vec4(aCoord, aCoord);\n\t\t\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\n\t\t\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tstartCutoff += viewport.xyxy;\n\t\t\tstartCutoff += startMiterWidth.xyxy;\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\n\t\t\tendCutoff = vec4(bCoord, bCoord);\n\t\t\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\n\t\t\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tendCutoff += viewport.xyxy;\n\t\t\tendCutoff += endMiterWidth.xyxy;\n\t\t}\n\t}\n}\n"]),frag:o(["precision highp float;\n#define GLSLIFY 1\n\nuniform float dashLength, pixelRatio, thickness, opacity, id, miterMode;\nuniform sampler2D dashTexture;\n\nvarying vec4 fragColor;\nvarying vec2 tangent;\nvarying vec4 startCutoff, endCutoff;\nvarying vec2 startCoord, endCoord;\nvarying float enableStartMiter, enableEndMiter;\n\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\n\tvec2 diff = b - a;\n\tvec2 perp = normalize(vec2(-diff.y, diff.x));\n\treturn dot(p - a, perp);\n}\n\nvoid main() {\n\tfloat alpha = 1., distToStart, distToEnd;\n\tfloat cutoff = thickness * .5;\n\n\t//bevel miter\n\tif (miterMode == 1.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\n\t\t\tif (distToStart < -1.) {\n\t\t\t\tdiscard;\n\t\t\t\treturn;\n\t\t\t}\n\t\t\talpha *= min(max(distToStart + 1., 0.), 1.);\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\n\t\t\tif (distToEnd < -1.) {\n\t\t\t\tdiscard;\n\t\t\t\treturn;\n\t\t\t}\n\t\t\talpha *= min(max(distToEnd + 1., 0.), 1.);\n\t\t}\n\t}\n\n\t// round miter\n\telse if (miterMode == 2.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\n\t\t\tif (distToStart < 0.) {\n\t\t\t\tfloat radius = length(gl_FragCoord.xy - startCoord);\n\n\t\t\t\tif(radius > cutoff + .5) {\n\t\t\t\t\tdiscard;\n\t\t\t\t\treturn;\n\t\t\t\t}\n\n\t\t\t\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\n\t\t\t}\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\n\t\t\tif (distToEnd < 0.) {\n\t\t\t\tfloat radius = length(gl_FragCoord.xy - endCoord);\n\n\t\t\t\tif(radius > cutoff + .5) {\n\t\t\t\t\tdiscard;\n\t\t\t\t\treturn;\n\t\t\t\t}\n\n\t\t\t\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\n\t\t\t}\n\t\t}\n\t}\n\n\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\n\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\n\n\tgl_FragColor = fragColor;\n\tgl_FragColor.a *= alpha * opacity * dash;\n}\n"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aColor:{buffer:t.prop("colorBuffer"),stride:4,offset:0,divisor:1},bColor:{buffer:t.prop("colorBuffer"),stride:4,offset:4,divisor:1},prevCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:0,divisor:1},aCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:16,divisor:1},nextCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:24,divisor:1}}},n))}catch(t){e=i}return{fill:t({primitive:"triangle",elements:function(t,e){return e.triangles},offset:0,vert:o(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec2 position, positionFract;\n\nuniform vec4 color;\nuniform vec2 scale, scaleFract, translate, translateFract;\nuniform float pixelRatio, id;\nuniform vec4 viewport;\nuniform float opacity;\n\nvarying vec4 fragColor;\n\nconst float MAX_LINES = 256.;\n\nvoid main() {\n\tfloat depth = (MAX_LINES - 4. - id) / (MAX_LINES);\n\n\tvec2 position = position * scale + translate\n       + positionFract * scale + translateFract\n       + position * scaleFract\n       + positionFract * scaleFract;\n\n\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\n\n\tfragColor = color / 255.;\n\tfragColor.a *= opacity;\n}\n"]),frag:o(["precision highp float;\n#define GLSLIFY 1\n\nvarying vec4 fragColor;\n\nvoid main() {\n\tgl_FragColor = fragColor;\n}\n"]),uniforms:{scale:t.prop("scale"),color:t.prop("fill"),scaleFract:t.prop("scaleFract"),translateFract:t.prop("translateFract"),translate:t.prop("translate"),opacity:t.prop("opacity"),pixelRatio:t.context("pixelRatio"),id:t.prop("id"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]}},attributes:{position:{buffer:t.prop("positionBuffer"),stride:8,offset:8},positionFract:{buffer:t.prop("positionFractBuffer"),stride:8,offset:8}},blend:n.blend,depth:{enable:!1},scissor:n.scissor,stencil:n.stencil,viewport:n.viewport}),rect:i,miter:e}},v.defaults={dashes:null,join:"miter",miterLimit:1,thickness:10,cap:"square",color:"black",opacity:1,overlay:!1,viewport:null,range:null,close:!1,fill:null},v.prototype.render=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];e.length&&(t=this).update.apply(t,e),this.draw()},v.prototype.draw=function(){for(var t=this,e=[],r=arguments.length;r--;)e[r]=arguments[r];return(e.length?e:this.passes).forEach((function(e,r){var n;if(e&&Array.isArray(e))return(n=t).draw.apply(n,e);"number"==typeof e&&(e=t.passes[e]),e&&e.count>1&&e.opacity&&(t.regl._refresh(),e.fill&&e.triangles&&e.triangles.length>2&&t.shaders.fill(e),e.thickness&&(e.scale[0]*e.viewport.width>v.precisionThreshold||e.scale[1]*e.viewport.height>v.precisionThreshold||"rect"===e.join||!e.join&&(e.thickness<=2||e.count>=v.maxPoints)?t.shaders.rect(e):t.shaders.miter(e)))})),this},v.prototype.update=function(t){var e=this;if(t){null!=t.length?"number"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var r=this.regl,o=this.gl;if(t.forEach((function(t,f){var d=e.passes[f];if(void 0!==t)if(null!==t){if("number"==typeof t[0]&&(t={positions:t}),t=s(t,{positions:"positions points data coords",thickness:"thickness lineWidth lineWidths line-width linewidth width stroke-width strokewidth strokeWidth",join:"lineJoin linejoin join type mode",miterLimit:"miterlimit miterLimit",dashes:"dash dashes dasharray dash-array dashArray",color:"color colour stroke colors colours stroke-color strokeColor",fill:"fill fill-color fillColor",opacity:"alpha opacity",overlay:"overlay crease overlap intersect",close:"closed close closed-path closePath",range:"range dataBox",viewport:"viewport viewBox",hole:"holes hole hollow",splitNull:"splitNull"}),d||(e.passes[f]=d={id:f,scale:null,scaleFract:null,translate:null,translateFract:null,count:0,hole:[],depth:0,dashLength:1,dashTexture:r.texture({channels:1,data:new Uint8Array([255]),width:1,height:1,mag:"linear",min:"linear"}),colorBuffer:r.buffer({usage:"dynamic",type:"uint8",data:new Uint8Array}),positionBuffer:r.buffer({usage:"dynamic",type:"float",data:new Uint8Array}),positionFractBuffer:r.buffer({usage:"dynamic",type:"float",data:new Uint8Array})},t=a({},v.defaults,t)),null!=t.thickness&&(d.thickness=parseFloat(t.thickness)),null!=t.opacity&&(d.opacity=parseFloat(t.opacity)),null!=t.miterLimit&&(d.miterLimit=parseFloat(t.miterLimit)),null!=t.overlay&&(d.overlay=!!t.overlay,f<v.maxLines&&(d.depth=2*(v.maxLines-1-f%v.maxLines)/v.maxLines-1)),null!=t.join&&(d.join=t.join),null!=t.hole&&(d.hole=t.hole),null!=t.fill&&(d.fill=t.fill?n(t.fill,"uint8"):null),null!=t.viewport&&(d.viewport=m(t.viewport)),d.viewport||(d.viewport=m([o.drawingBufferWidth,o.drawingBufferHeight])),null!=t.close&&(d.close=t.close),null===t.positions&&(t.positions=[]),t.positions){var y,x;if(t.positions.x&&t.positions.y){var b=t.positions.x,_=t.positions.y;x=d.count=Math.max(b.length,_.length),y=new Float64Array(2*x);for(var w=0;w<x;w++)y[2*w]=b[w],y[2*w+1]=_[w]}else y=l(t.positions,"float64"),x=d.count=Math.floor(y.length/2);var T=d.bounds=i(y,2);if(d.fill){for(var k=[],A={},M=0,S=0,E=0,L=d.count;S<L;S++){var C=y[2*S],P=y[2*S+1];isNaN(C)||isNaN(P)||null==C||null==P?(C=y[2*M],P=y[2*M+1],A[S]=M):M=S,k[E++]=C,k[E++]=P}if(t.splitNull){d.count-1 in A||(A[d.count]=d.count-1);var I=Object.keys(A).map(Number).sort((function(t,e){return t-e})),O=[],z=0,D=null!=d.hole?d.hole[0]:null;if(null!=D){var R=g(I,(function(t){return t>=D}));(I=I.slice(0,R)).push(D)}for(var F=function(t){var e=k.slice(2*z,2*I[t]).concat(D?k.slice(2*D):[]),r=(d.hole||[]).map((function(e){return e-D+(I[t]-z)})),n=c(e,r);n=n.map((function(e){return e+z+(e+z<I[t]?0:D-I[t])})),O.push.apply(O,n),z=I[t]+1},B=0;B<I.length;B++)F(B);for(var N=0,j=O.length;N<j;N++)null!=A[O[N]]&&(O[N]=A[O[N]]);d.triangles=O}else{for(var U=c(k,d.hole||[]),V=0,H=U.length;V<H;V++)null!=A[U[V]]&&(U[V]=A[U[V]]);d.triangles=U}}var q=new Float64Array(y);u(q,2,T);var G=new Float64Array(2*x+6);d.close?y[0]===y[2*x-2]&&y[1]===y[2*x-1]?(G[0]=q[2*x-4],G[1]=q[2*x-3]):(G[0]=q[2*x-2],G[1]=q[2*x-1]):(G[0]=q[0],G[1]=q[1]),G.set(q,2),d.close?y[0]===y[2*x-2]&&y[1]===y[2*x-1]?(G[2*x+2]=q[2],G[2*x+3]=q[3],d.count-=1):(G[2*x+2]=q[0],G[2*x+3]=q[1],G[2*x+4]=q[2],G[2*x+5]=q[3]):(G[2*x+2]=q[2*x-2],G[2*x+3]=q[2*x-1],G[2*x+4]=q[2*x-2],G[2*x+5]=q[2*x-1]);var Y=h(G);d.positionBuffer(Y);var W=p(G,Y);d.positionFractBuffer(W)}if(t.range?d.range=t.range:d.range||(d.range=d.bounds),(t.range||t.positions)&&d.count){var X=d.bounds,Z=X[2]-X[0],J=X[3]-X[1],K=d.range[2]-d.range[0],Q=d.range[3]-d.range[1];d.scale=[Z/K,J/Q],d.translate=[-d.range[0]/K+X[0]/K||0,-d.range[1]/Q+X[1]/Q||0],d.scaleFract=p(d.scale),d.translateFract=p(d.translate)}if(t.dashes){var $,tt=0;if(!t.dashes||t.dashes.length<2)tt=1,$=new Uint8Array([255,255,255,255,255,255,255,255]);else{tt=0;for(var et=0;et<t.dashes.length;++et)tt+=t.dashes[et];$=new Uint8Array(tt*v.dashMult);for(var rt=0,nt=255,it=0;it<2;it++)for(var at=0;at<t.dashes.length;++at){for(var ot=0,st=t.dashes[at]*v.dashMult*.5;ot<st;++ot)$[rt++]=nt;nt^=255}}d.dashLength=tt,d.dashTexture({channels:1,data:$,width:$.length,height:1,mag:"linear",min:"linear"},0,0)}if(t.color){var lt=d.count,ct=t.color;ct||(ct="transparent");var ut=new Uint8Array(4*lt+4);if(Array.isArray(ct)&&"number"!=typeof ct[0]){for(var ft=0;ft<lt;ft++){var ht=n(ct[ft],"uint8");ut.set(ht,4*ft)}ut.set(n(ct[0],"uint8"),4*lt)}else for(var pt=n(ct,"uint8"),dt=0;dt<lt+1;dt++)ut.set(pt,4*dt);d.colorBuffer({usage:"dynamic",type:"uint8",data:ut})}}else e.passes[f]=null})),t.length<this.passes.length){for(var f=t.length;f<this.passes.length;f++){var d=this.passes[f];d&&(d.colorBuffer.destroy(),d.positionBuffer.destroy(),d.dashTexture.destroy())}this.passes.length=t.length}for(var y=[],x=0;x<this.passes.length;x++)null!==this.passes[x]&&y.push(this.passes[x]);return this.passes=y,this}},v.prototype.destroy=function(){return 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e.borderColor.length?{buffer:e.colorBuffer,stride:r.tooManyColors?8:4,offset:r.tooManyColors?4:2}:{constant:r.tooManyColors?a.slice(4*e.borderColor,4*e.borderColor+4):[e.borderColor]}},isActive:function(t,e){return!0===e.activation?{constant:[1]}:e.activation?e.activation:{constant:[0]}}},blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:"src alpha",dstRGB:"one minus src alpha",srcAlpha:"one minus dst alpha",dstAlpha:"one"}},scissor:{enable:!0,box:t.prop("viewport")},viewport:t.prop("viewport"),stencil:{enable:!1},depth:{enable:!1},elements:t.prop("elements"),count:t.prop("count"),offset:t.prop("offset"),primitive:"points"},s=f({},o);s.frag=h(["precision highp float;\n#define GLSLIFY 1\n\nuniform float opacity;\nuniform sampler2D markerTexture;\n\nvarying vec4 fragColor, fragBorderColor;\nvarying float fragWidth, fragBorderColorLevel, fragColorLevel;\n\nfloat smoothStep(float x, float y) {\n  return 1.0 / (1.0 + exp(50.0*(x - y)));\n}\n\nvoid main() {\n  float dist = texture2D(markerTexture, gl_PointCoord).r, delta = fragWidth;\n\n  // max-distance alpha\n  if (dist < 0.003) discard;\n\n  // null-border case\n  if (fragBorderColorLevel == fragColorLevel || fragBorderColor.a == 0.) {\n    float colorAmt = smoothstep(.5 - delta, .5 + delta, dist);\n    gl_FragColor = vec4(fragColor.rgb, colorAmt * fragColor.a * opacity);\n  }\n  else {\n    float borderColorAmt = smoothstep(fragBorderColorLevel - delta, fragBorderColorLevel + delta, dist);\n    float colorAmt = smoothstep(fragColorLevel - delta, fragColorLevel + delta, dist);\n\n    vec4 color = fragBorderColor;\n    color.a *= borderColorAmt;\n    color = mix(color, fragColor, colorAmt);\n    color.a *= opacity;\n\n    gl_FragColor = color;\n  }\n\n}\n"]),s.vert=h(["precision highp float;\n#define GLSLIFY 1\n\nattribute float x, y, xFract, yFract;\nattribute float size, borderSize;\nattribute vec4 colorId, borderColorId;\nattribute float isActive;\n\nuniform bool constPointSize;\nuniform float pixelRatio;\nuniform vec2 scale, scaleFract, translate, translateFract, paletteSize;\nuniform sampler2D paletteTexture;\n\nconst float maxSize = 100.;\nconst float borderLevel = .5;\n\nvarying vec4 fragColor, fragBorderColor;\nvarying float fragPointSize, fragBorderRadius, fragWidth, fragBorderColorLevel, fragColorLevel;\n\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\n\nbool isDirect = (paletteSize.x < 1.);\n\nvec4 getColor(vec4 id) {\n  return isDirect ? id / 255. : texture2D(paletteTexture,\n    vec2(\n      (id.x + .5) / paletteSize.x,\n      (id.y + .5) / paletteSize.y\n    )\n  );\n}\n\nvoid main() {\n  // ignore inactive points\n  if (isActive == 0.) return;\n\n  vec2 position = vec2(x, y);\n  vec2 positionFract = vec2(xFract, yFract);\n\n  vec4 color = getColor(colorId);\n  vec4 borderColor = getColor(borderColorId);\n\n  float size = size * maxSize / 255.;\n  float borderSize = borderSize * maxSize / 255.;\n\n  gl_PointSize = 2. * size * pointSizeScale;\n  fragPointSize = size * pixelRatio;\n\n  vec2 pos = (position + translate) * scale\n      + (positionFract + translateFract) * scale\n      + (position + translate) * scaleFract\n      + (positionFract + translateFract) * scaleFract;\n\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\n\n  fragColor = color;\n  fragBorderColor = borderColor;\n  fragWidth = 1. / gl_PointSize;\n\n  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\n  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\n}"]),this.drawMarker=t(s);var l=f({},o);l.frag=h(["precision highp float;\n#define GLSLIFY 1\n\nvarying vec4 fragColor, fragBorderColor;\nvarying float fragBorderRadius, fragWidth;\n\nuniform float opacity;\n\nfloat smoothStep(float edge0, float edge1, float x) {\n\tfloat t;\n\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\n\treturn t * t * (3.0 - 2.0 * t);\n}\n\nvoid main() {\n\tfloat radius, alpha = 1.0, delta = fragWidth;\n\n\tradius 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getColor(vec4 id) {\n  return isDirect ? id / 255. : texture2D(paletteTexture,\n    vec2(\n      (id.x + .5) / paletteSize.x,\n      (id.y + .5) / paletteSize.y\n    )\n  );\n}\n\nvoid main() {\n  // ignore inactive points\n  if (isActive == 0.) return;\n\n  vec2 position = vec2(x, y);\n  vec2 positionFract = vec2(xFract, yFract);\n\n  vec4 color = getColor(colorId);\n  vec4 borderColor = getColor(borderColorId);\n\n  float size = size * maxSize / 255.;\n  float borderSize = borderSize * maxSize / 255.;\n\n  gl_PointSize = (size + borderSize) * pointSizeScale;\n\n  vec2 pos = (position + translate) * scale\n      + (positionFract + translateFract) * scale\n      + (position + translate) * scaleFract\n      + (positionFract + translateFract) * scaleFract;\n\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\n\n  fragBorderRadius = 1. - 2. * borderSize / (size + borderSize);\n  fragColor = color;\n  fragBorderColor = borderColor.a == 0. || borderSize == 0. ? vec4(color.rgb, 0.) : borderColor;\n  fragWidth = 1. / gl_PointSize;\n}\n"]),g&&(l.frag=l.frag.replace("smoothstep","smoothStep"),s.frag=s.frag.replace("smoothstep","smoothStep")),this.drawCircle=t(l)}b.defaults={color:"black",borderColor:"transparent",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4},b.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},b.prototype.draw=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];var i=this.groups;if(1===r.length&&Array.isArray(r[0])&&(null===r[0][0]||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var a=0;a<r.length;a++)this.drawItem(a,r[a]);else i.forEach((function(e,r){t.drawItem(r)}));return this},b.prototype.drawItem=function(t,e){var r=this.groups,n=r[t];if("number"==typeof e&&(t=e,n=r[e],e=null),n&&n.count&&n.opacity){n.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,n,e));for(var a=[],o=1;o<n.activation.length;o++)n.activation[o]&&(!0===n.activation[o]||n.activation[o].data.length)&&a.push.apply(a,i(this.getMarkerDrawOptions(o,n,e)));a.length&&this.drawMarker(a)}},b.prototype.getMarkerDrawOptions=function(t,e,r){var i=e.range,a=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,c=e.count;this.regl;if(!a)return r?[f({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[f({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var u=[],h=a.range(i,{lod:!0,px:[(i[2]-i[0])/o.width,(i[3]-i[1])/o.height]});if(r){for(var p=s[t].data,d=new Uint8Array(c),m=0;m<r.length;m++){var g=r[m];d[g]=p?p[g]:1}l.subdata(d)}for(var v=h.length;v--;){var y=n(h[v],2),x=y[0],b=y[1];u.push(f({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:b-x}))}return u},b.prototype.update=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];if(r.length){1===r.length&&Array.isArray(r[0])&&(r=r[0]);var i=this.groups,a=this.gl,o=this.regl,s=this.maxSize,c=this.maxColors,h=this.palette;this.groups=i=r.map((function(e,r){var n=i[r];if(void 0===e)return n;null===e?e={positions:null}:"function"==typeof e?e={ondraw:e}:"number"==typeof e[0]&&(e={positions:e}),null===(e=p(e,{positions:"positions data points",snap:"snap cluster lod tree",size:"sizes size radius",borderSize:"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline",color:"colors color fill fill-color fillColor",borderColor:"borderColors borderColor stroke stroke-color strokeColor",marker:"markers marker shape",range:"range dataBox databox",viewport:"viewport viewPort viewBox viewbox",opacity:"opacity alpha transparency",bounds:"bound bounds boundaries limits",tooManyColors:"tooManyColors palette paletteMode optimizePalette enablePalette"})).positions&&(e.positions=[]),null!=e.tooManyColors&&(t.tooManyColors=e.tooManyColors),n||(i[r]=n={id:r,scale:null,translate:null,scaleFract:null,translateFract:null,activation:[],selectionBuffer:o.buffer({data:new Uint8Array(0),usage:"stream",type:"uint8"}),sizeBuffer:o.buffer({data:new Uint8Array(0),usage:"dynamic",type:"uint8"}),colorBuffer:o.buffer({data:new Uint8Array(0),usage:"dynamic",type:"uint8"}),positionBuffer:o.buffer({data:new Uint8Array(0),usage:"dynamic",type:"float"}),positionFractBuffer:o.buffer({data:new Uint8Array(0),usage:"dynamic",type:"float"})},e=f({},b.defaults,e)),e.positions&&!("marker"in e)&&(e.marker=n.marker,delete n.marker),e.marker&&!("positions"in e)&&(e.positions=n.positions,delete n.positions);var g=0,x=0;if(d(n,e,[{snap:!0,size:function(t,e){return null==t&&(t=b.defaults.size),g+=t&&t.length?1:0,t},borderSize:function(t,e){return null==t&&(t=b.defaults.borderSize),g+=t&&t.length?1:0,t},opacity:parseFloat,color:function(e,r){return null==e&&(e=b.defaults.color),e=t.updateColor(e),x++,e},borderColor:function(e,r){return null==e&&(e=b.defaults.borderColor),e=t.updateColor(e),x++,e},bounds:function(t,e,r){return"range"in r||(r.range=null),t},positions:function(t,e,r){var n=e.snap,i=e.positionBuffer,a=e.positionFractBuffer,s=e.selectionBuffer;if(t.x||t.y)return t.x.length?e.xAttr={buffer:o.buffer(t.x),offset:0,stride:4,count:t.x.length}:e.xAttr={buffer:t.x.buffer,offset:4*t.x.offset||0,stride:4*(t.x.stride||1),count:t.x.count},t.y.length?e.yAttr={buffer:o.buffer(t.y),offset:0,stride:4,count:t.y.length}:e.yAttr={buffer:t.y.buffer,offset:4*t.y.offset||0,stride:4*(t.y.stride||1),count:t.y.count},e.count=Math.max(e.xAttr.count,e.yAttr.count),t;t=m(t,"float64");var c=e.count=Math.floor(t.length/2),f=e.bounds=c?l(t,2):null;if(r.range||e.range||(delete e.range,r.range=f),r.marker||e.marker||(delete e.marker,r.marker=null),n&&(!0===n||c>n)?e.tree=u(t,{bounds:f}):n&&n.length&&(e.tree=n),e.tree){var h={primitive:"points",usage:"static",data:e.tree,type:"uint32"};e.elements?e.elements(h):e.elements=o.elements(h)}var p=v.float32(t);return i({data:p,usage:"dynamic"}),a({data:v.fract32(t,p),usage:"dynamic"}),s({data:new Uint8Array(c),type:"uint8",usage:"stream"}),t}},{marker:function(e,r,n){var i=r.activation;if(i.forEach((function(t){return t&&t.destroy&&t.destroy()})),i.length=0,e&&"number"!=typeof e[0]){for(var a=[],s=0,l=Math.min(e.length,r.count);s<l;s++){var c=t.addMarker(e[s]);a[c]||(a[c]=new Uint8Array(r.count)),a[c][s]=1}for(var u=0;u<a.length;u++)if(a[u]){var f={data:a[u],type:"uint8",usage:"static"};i[u]?i[u](f):i[u]=o.buffer(f),i[u].data=a[u]}}else{i[t.addMarker(e)]=!0}return e},range:function(t,e,r){var n=e.bounds;if(n)return 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n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),"d"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return(t=i.year())<0&&t++,i.day()+30*(i.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return this.newDate(r,n,i)}}),n.calendars.ethiopian=a},{"../main":341,"object-assign":242}],331:[function(t,e,r){var n=t("../main"),i=t("object-assign");function a(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}function o(t,e){return t-e*Math.floor(t/e)}a.prototype=new n.baseCalendar,i(a.prototype,{name:"Hebrew",jdEpoch:347995.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29,29],hasYearZero:!1,minMonth:1,firstMonth:7,minDay:1,regionalOptions:{"":{name:"Hebrew",epochs:["BAM","AM"],monthNames:["Nisan","Iyar","Sivan","Tammuz","Av","Elul","Tishrei","Cheshvan","Kislev","Tevet","Shevat","Adar","Adar II"],monthNamesShort:["Nis","Iya","Siv","Tam","Av","Elu","Tis","Che","Kis","Tev","She","Ada","Ad2"],dayNames:["Yom Rishon","Yom Sheni","Yom Shlishi","Yom Revi'i","Yom Chamishi","Yom Shishi","Yom Shabbat"],dayNamesShort:["Ris","She","Shl","Rev","Cha","Shi","Sha"],dayNamesMin:["Ri","She","Shl","Re","Ch","Shi","Sha"],digits:null,dateFormat:"dd/mm/yyyy",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return this._leapYear(e.year())},_leapYear:function(t){return o(7*(t=t<0?t+1:t)+1,19)<7},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),this._leapYear(t.year?t.year():t)?13:12},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),"d"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),this.toJD(-1===t?1:t+1,7,1)-this.toJD(t,7,1)},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),12===e&&this.leapYear(t)||8===e&&5===o(this.daysInYear(t),10)?30:9===e&&3===o(this.daysInYear(t),10)?29:this.daysPerMonth[e-1]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return{yearType:(this.leapYear(i)?"embolismic":"common")+" "+["deficient","regular","complete"][this.daysInYear(i)%10-3]}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t<=0?t+1:t,o=this.jdEpoch+this._delay1(a)+this._delay2(a)+r+1;if(e<7){for(var s=7;s<=this.monthsInYear(t);s++)o+=this.daysInMonth(t,s);for(s=1;s<e;s++)o+=this.daysInMonth(t,s)}else for(s=7;s<e;s++)o+=this.daysInMonth(t,s);return o},_delay1:function(t){var e=Math.floor((235*t-234)/19),r=12084+13753*e,n=29*e+Math.floor(r/25920);return o(3*(n+1),7)<3&&n++,n},_delay2:function(t){var e=this._delay1(t-1),r=this._delay1(t);return this._delay1(t+1)-r==356?2:r-e==382?1:0},fromJD:function(t){t=Math.floor(t)+.5;for(var e=Math.floor(98496*(t-this.jdEpoch)/35975351)-1;t>=this.toJD(-1===e?1:e+1,7,1);)e++;for(var r=t<this.toJD(e,1,1)?7:1;t>this.toJD(e,r,this.daysInMonth(e,r));)r++;var n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.hebrew=a},{"../main":341,"object-assign":242}],332:[function(t,e,r){var n=t("../main"),i=t("object-assign");function a(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}a.prototype=new n.baseCalendar,i(a.prototype,{name:"Islamic",jdEpoch:1948439.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{"":{name:"Islamic",epochs:["BH","AH"],monthNames:["Muharram","Safar","Rabi' al-awwal","Rabi' al-thani","Jumada al-awwal","Jumada al-thani","Rajab","Sha'aban","Ramadan","Shawwal","Dhu al-Qi'dah","Dhu al-Hijjah"],monthNamesShort:["Muh","Saf","Rab1","Rab2","Jum1","Jum2","Raj","Sha'","Ram","Shaw","DhuQ","DhuH"],dayNames:["Yawm al-ahad","Yawm al-ithnayn","Yawm ath-thulaathaa'","Yawm al-arbi'aa'","Yawm al-kham\u012bs","Yawm al-jum'a","Yawm as-sabt"],dayNamesShort:["Aha","Ith","Thu","Arb","Kha","Jum","Sab"],dayNamesMin:["Ah","It","Th","Ar","Kh","Ju","Sa"],digits:null,dateFormat:"yyyy/mm/dd",firstDay:6,isRTL:!1}},leapYear:function(t){return(11*this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year()+14)%30<11},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),"d"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return this.leapYear(t)?355:354},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),t=t<=0?t+1:t,(r=i.day())+Math.ceil(29.5*(e-1))+354*(t-1)+Math.floor((3+11*t)/30)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t)+.5;var e=Math.floor((30*(t-this.jdEpoch)+10646)/10631);e=e<=0?e-1:e;var r=Math.min(12,Math.ceil((t-29-this.toJD(e,1,1))/29.5)+1),n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.islamic=a},{"../main":341,"object-assign":242}],333:[function(t,e,r){var n=t("../main"),i=t("object-assign");function a(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}a.prototype=new n.baseCalendar,i(a.prototype,{name:"Julian",jdEpoch:1721423.5,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{"":{name:"Julian",epochs:["BC","AD"],monthNames:["January","February","March","April","May","June","July","August","September","October","November","December"],monthNamesShort:["Jan","Feb","Mar","Apr","May","Jun","Jul","Aug","Sep","Oct","Nov","Dec"],dayNames:["Sunday","Monday","Tuesday","Wednesday","Thursday","Friday","Saturday"],dayNamesShort:["Sun","Mon","Tue","Wed","Thu","Fri","Sat"],dayNamesMin:["Su","Mo","Tu","We","Th","Fr","Sa"],digits:null,dateFormat:"mm/dd/yyyy",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()<0?e.year()+1:e.year())%4==0},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(4-(n.dayOfWeek()||7),"d"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),r=i.day(),t<0&&t++,e<=2&&(t--,e+=12),Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r-1524.5},fromJD:function(t){var e=Math.floor(t+.5)+1524,r=Math.floor((e-122.1)/365.25),n=Math.floor(365.25*r),i=Math.floor((e-n)/30.6001),a=i-Math.floor(i<14?1:13),o=r-Math.floor(a>2?4716:4715),s=e-n-Math.floor(30.6001*i);return o<=0&&o--,this.newDate(o,a,s)}}),n.calendars.julian=a},{"../main":341,"object-assign":242}],334:[function(t,e,r){var n=t("../main"),i=t("object-assign");function a(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}function o(t,e){return t-e*Math.floor(t/e)}function s(t,e){return o(t-1,e)+1}a.prototype=new n.baseCalendar,i(a.prototype,{name:"Mayan",jdEpoch:584282.5,hasYearZero:!0,minMonth:0,firstMonth:0,minDay:0,regionalOptions:{"":{name:"Mayan",epochs:["",""],monthNames:["0","1","2","3","4","5","6","7","8","9","10","11","12","13","14","15","16","17"],monthNamesShort:["0","1","2","3","4","5","6","7","8","9","10","11","12","13","14","15","16","17"],dayNames:["0","1","2","3","4","5","6","7","8","9","10","11","12","13","14","15","16","17","18","19"],dayNamesShort:["0","1","2","3","4","5","6","7","8","9","10","11","12","13","14","15","16","17","18","19"],dayNamesMin:["0","1","2","3","4","5","6","7","8","9","10","11","12","13","14","15","16","17","18","19"],digits:null,dateFormat:"YYYY.m.d",firstDay:0,isRTL:!1,haabMonths:["Pop","Uo","Zip","Zotz","Tzec","Xul","Yaxkin","Mol","Chen","Yax","Zac","Ceh","Mac","Kankin","Muan","Pax","Kayab","Cumku","Uayeb"],tzolkinMonths:["Imix","Ik","Akbal","Kan","Chicchan","Cimi","Manik","Lamat","Muluc","Oc","Chuen","Eb","Ben","Ix","Men","Cib","Caban","Etznab","Cauac","Ahau"]}},leapYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+"."+Math.floor(t/20)+"."+t%20},forYear:function(t){if((t=t.split(".")).length<3)throw"Invalid Mayan year";for(var e=0,r=0;r<t.length;r++){var n=parseInt(t[r],10);if(Math.abs(n)>19||r>0&&n<0)throw"Invalid Mayan year";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),!0},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate).toJD(),a=this._toHaab(i),o=this._toTzolkin(i);return{haabMonthName:this.local.haabMonths[a[0]-1],haabMonth:a[0],haabDay:a[1],tzolkinDayName:this.local.tzolkinMonths[o[0]-1],tzolkinDay:o[0],tzolkinTrecena:o[1]}},_toHaab:function(t){var e=o((t-=this.jdEpoch)+8+340,365);return[Math.floor(e/20)+1,o(e,20)]},_toTzolkin:function(t){return[s((t-=this.jdEpoch)+20,20),s(t+4,13)]},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return i.day()+20*i.month()+360*i.year()+this.jdEpoch},fromJD:function(t){t=Math.floor(t)+.5-this.jdEpoch;var e=Math.floor(t/360);t%=360,t+=t<0?360:0;var r=Math.floor(t/20),n=t%20;return this.newDate(e,r,n)}}),n.calendars.mayan=a},{"../main":341,"object-assign":242}],335:[function(t,e,r){var n=t("../main"),i=t("object-assign");function a(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}a.prototype=new n.baseCalendar;var o=n.instance("gregorian");i(a.prototype,{name:"Nanakshahi",jdEpoch:2257673.5,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{"":{name:"Nanakshahi",epochs:["BN","AN"],monthNames:["Chet","Vaisakh","Jeth","Harh","Sawan","Bhadon","Assu","Katak","Maghar","Poh","Magh","Phagun"],monthNamesShort:["Che","Vai","Jet","Har","Saw","Bha","Ass","Kat","Mgr","Poh","Mgh","Pha"],dayNames:["Somvaar","Mangalvar","Budhvaar","Veervaar","Shukarvaar","Sanicharvaar","Etvaar"],dayNamesShort:["Som","Mangal","Budh","Veer","Shukar","Sanichar","Et"],dayNamesMin:["So","Ma","Bu","Ve","Sh","Sa","Et"],digits:null,dateFormat:"dd-mm-yyyy",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[""].invalidYear);return o.leapYear(e.year()+(e.year()<1?1:0)+1469)},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(1-(n.dayOfWeek()||7),"d"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidMonth);(t=i.year())<0&&t++;for(var a=i.day(),s=1;s<i.month();s++)a+=this.daysPerMonth[s-1];return a+o.toJD(t+1468,3,13)},fromJD:function(t){t=Math.floor(t+.5);for(var e=Math.floor((t-(this.jdEpoch-1))/366);t>=this.toJD(e+1,1,1);)e++;for(var r=t-Math.floor(this.toJD(e,1,1)+.5)+1,n=1;r>this.daysInMonth(e,n);)r-=this.daysInMonth(e,n),n++;return this.newDate(e,n,r)}}),n.calendars.nanakshahi=a},{"../main":341,"object-assign":242}],336:[function(t,e,r){var n=t("../main"),i=t("object-assign");function a(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}a.prototype=new n.baseCalendar,i(a.prototype,{name:"Nepali",jdEpoch:1700709.5,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{"":{name:"Nepali",epochs:["BBS","ABS"],monthNames:["Baisakh","Jestha","Ashadh","Shrawan","Bhadra","Ashwin","Kartik","Mangsir","Paush","Mangh","Falgun","Chaitra"],monthNamesShort:["Bai","Je","As","Shra","Bha","Ash","Kar","Mang","Pau","Ma","Fal","Chai"],dayNames:["Aaitabaar","Sombaar","Manglbaar","Budhabaar","Bihibaar","Shukrabaar","Shanibaar"],dayNamesShort:["Aaita","Som","Mangl","Budha","Bihi","Shukra","Shani"],dayNamesMin:["Aai","So","Man","Bu","Bi","Shu","Sha"],digits:null,dateFormat:"dd/mm/yyyy",firstDay:1,isRTL:!1}},leapYear:function(t){return this.daysInYear(t)!==this.daysPerYear},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),"d"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){if(t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),void 0===this.NEPALI_CALENDAR_DATA[t])return this.daysPerYear;for(var e=0,r=this.minMonth;r<=12;r++)e+=this.NEPALI_CALENDAR_DATA[t][r];return e},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),void 0===this.NEPALI_CALENDAR_DATA[t]?this.daysPerMonth[e-1]:this.NEPALI_CALENDAR_DATA[t][e]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=n.instance(),o=0,s=e,l=t;this._createMissingCalendarData(t);var c=t-(s>9||9===s&&r>=this.NEPALI_CALENDAR_DATA[l][0]?56:57);for(9!==e&&(o=r,s--);9!==s;)s<=0&&(s=12,l--),o+=this.NEPALI_CALENDAR_DATA[l][s],s--;return 9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=a.daysInYear(c)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(c,1,1).add(o,"d").toJD()},fromJD:function(t){var e=n.instance().fromJD(t),r=e.year(),i=e.dayOfYear(),a=r+56;this._createMissingCalendarData(a);for(var o=9,s=this.NEPALI_CALENDAR_DATA[a][0],l=this.NEPALI_CALENDAR_DATA[a][o]-s+1;i>l;)++o>12&&(o=1,a++),l+=this.NEPALI_CALENDAR_DATA[a][o];var c=this.NEPALI_CALENDAR_DATA[a][o]-(l-i);return this.newDate(a,o,c)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)void 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n.baseCalendar,i(a.prototype,{name:"UmmAlQura",hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{"":{name:"Umm al-Qura",epochs:["BH","AH"],monthNames:["Al-Muharram","Safar","Rabi' al-awwal","Rabi' Al-Thani","Jumada Al-Awwal","Jumada Al-Thani","Rajab","Sha'aban","Ramadan","Shawwal","Dhu al-Qi'dah","Dhu al-Hijjah"],monthNamesShort:["Muh","Saf","Rab1","Rab2","Jum1","Jum2","Raj","Sha'","Ram","Shaw","DhuQ","DhuH"],dayNames:["Yawm al-Ahad","Yawm al-Ithnain","Yawm al-Thal\u0101th\u0101\u2019","Yawm al-Arba\u2018\u0101\u2019","Yawm al-Kham\u012bs","Yawm al-Jum\u2018a","Yawm al-Sabt"],dayNamesMin:["Ah","Ith","Th","Ar","Kh","Ju","Sa"],digits:null,dateFormat:"yyyy/mm/dd",firstDay:6,isRTL:!0}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 355===this.daysInYear(e.year())},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),"d"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){for(var e=0,r=1;r<=12;r++)e+=this.daysInMonth(t,r);return e},daysInMonth:function(t,e){for(var r=this._validate(t,e,this.minDay,n.local.invalidMonth).toJD()-24e5+.5,i=0,a=0;a<o.length;a++){if(o[a]>r)return o[i]-o[i-1];i++}return 30},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate),a=12*(i.year()-1)+i.month()-15292;return i.day()+o[a-1]-1+24e5-.5},fromJD:function(t){for(var e=t-24e5+.5,r=0,n=0;n<o.length&&!(o[n]>e);n++)r++;var i=r+15292,a=Math.floor((i-1)/12),s=a+1,l=i-12*a,c=e-o[r-1]+1;return this.newDate(s,l,c)},isValid:function(t,e,r){var i=n.baseCalendar.prototype.isValid.apply(this,arguments);return i&&(i=(t=null!=t.year?t.year:t)>=1276&&t<=1500),i},_validate:function(t,e,r,i){var a=n.baseCalendar.prototype._validate.apply(this,arguments);if(a.year<1276||a.year>1500)throw i.replace(/\{0\}/,this.local.name);return a}}),n.calendars.ummalqura=a;var 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n=t("object-assign");function i(){this.regionalOptions=[],this.regionalOptions[""]={invalidCalendar:"Calendar {0} not found",invalidDate:"Invalid {0} date",invalidMonth:"Invalid {0} month",invalidYear:"Invalid {0} year",differentCalendars:"Cannot mix {0} and {1} dates"},this.local=this.regionalOptions[""],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(c.local.invalidDate||c.regionalOptions[""].invalidDate).replace(/\{0\}/,this._calendar.local.name)}function o(t,e){return"000000".substring(0,e-(t=""+t).length)+t}function s(){this.shortYearCutoff="+10"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[""]}n(i.prototype,{instance:function(t,e){t=(t||"gregorian").toLowerCase(),e=e||"";var r=this._localCals[t+"-"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+"-"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[""].invalidCalendar).replace(/\{0\}/,t);return r},newDate:function(t,e,r,n,i){return(n=(null!=t&&t.year?t.calendar():"string"==typeof n?this.instance(n,i):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+"").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n="",i=0;r>0;){var a=r%10;n=(0===a?"":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(a.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,"y")},month:function(t){return 0===arguments.length?this._month:this.set(t,"m")},day:function(t){return 0===arguments.length?this._day:this.set(t,"d")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(c.local.invalidDate||c.regionalOptions[""].invalidDate).replace(/\{0\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(c.local.differentCalendars||c.regionalOptions[""].differentCalendars).replace(/\{0\}/,this._calendar.local.name).replace(/\{1\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?"-":"")+o(Math.abs(this.year()),4)+"-"+o(this.month(),2)+"-"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[""].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[""].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[""].invalidYear);return(e.year()<0?"-":"")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[""].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,c.local.invalidMonth||c.regionalOptions[""].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,c.local.invalidMonth||c.regionalOptions[""].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[""].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[""].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[""].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[""].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,c.local.invalidDate||c.regionalOptions[""].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,"d"===r||"w"===r){var n=t.toJD()+e*("w"===r?this.daysInWeek():1),i=t.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=t.year()+("y"===r?e:0),o=t.monthOfYear()+("m"===r?e:0);i=t.day();"y"===r?(t.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):"m"===r&&(!function(t){for(;o<t.minMonth;)a--,o+=t.monthsInYear(a);for(var e=t.monthsInYear(a);o>e-1+t.minMonth;)a++,o-=e,e=t.monthsInYear(a)}(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var s=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,s}catch(t){throw 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":r._dfltTitle.annotation),a("textangle"),n.coerceFont(a,"font",r.font),a("width"),a("align"),a("height")&&a("valign"),u){var f,h,p=a("arrowside");-1!==p.indexOf("end")&&(f=a("arrowhead"),h=a("arrowsize")),-1!==p.indexOf("start")&&(a("startarrowhead",f),a("startarrowsize",h)),a("arrowcolor",l?e.bordercolor:i.defaultLine),a("arrowwidth",2*(l&&c||1)),a("standoff"),a("startstandoff")}var d=a("hovertext"),m=r.hoverlabel||{};if(d){var g=a("hoverlabel.bgcolor",m.bgcolor||(i.opacity(o)?i.rgb(o):i.defaultLine)),v=a("hoverlabel.bordercolor",m.bordercolor||i.contrast(g));n.coerceFont(a,"hoverlabel.font",{family:m.font.family,size:m.font.size,color:m.font.color||v})}a("captureevents",!!d)}},{"../../lib":498,"../color":361}],348:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("../../lib/to_log_range");e.exports=function(t,e,r,a){e=e||{};var o="log"===r&&"linear"===e.type,s="linear"===r&&"log"===e.type;if(o||s)for(var l,c,u=t._fullLayout.annotations,f=e._id.charAt(0),h=0;h<u.length;h++)l=u[h],c="annotations["+h+"].",l[f+"ref"]===e._id&&p(f),l["a"+f+"ref"]===e._id&&p("a"+f);function p(t){var r=l[t],s=null;s=o?i(r,e.range):Math.pow(10,r),n(s)||(s=null),a(c+t,s)}}},{"../../lib/to_log_range":526,"fast-isnumeric":185}],349:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../plots/cartesian/axes"),a=t("../../plots/array_container_defaults"),o=t("./common_defaults"),s=t("./attributes");function l(t,e,r){function a(r,i){return n.coerce(t,e,s,r,i)}var l=a("visible"),c=a("clicktoshow");if(l||c){o(t,e,r,a);for(var u=e.showarrow,f=["x","y"],h=[-10,-30],p={_fullLayout:r},d=0;d<2;d++){var m=f[d],g=i.coerceRef(t,e,p,m,"","paper");if("paper"!==g)i.getFromId(p,g)._annIndices.push(e._index);if(i.coercePosition(e,p,a,g,m,.5),u){var v="a"+m,y=i.coerceRef(t,e,p,v,"pixel",["pixel","paper"]);"pixel"!==y&&y!==g&&(y=e[v]="pixel");var x="pixel"===y?h[d]:.4;i.coercePosition(e,p,a,y,v,x)}a(m+"anchor"),a(m+"shift")}if(n.noneOrAll(t,e,["x","y"]),u&&n.noneOrAll(t,e,["ax","ay"]),c){var b=a("xclick"),_=a("yclick");e._xclick=void 0===b?e.x:i.cleanPosition(b,p,e.xref),e._yclick=void 0===_?e.y:i.cleanPosition(_,p,e.yref)}}}e.exports=function(t,e){a(t,e,{name:"annotations",handleItemDefaults:l})}},{"../../lib":498,"../../plots/array_container_defaults":544,"../../plots/cartesian/axes":549,"./attributes":344,"./common_defaults":347}],350:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../../registry"),a=t("../../plots/plots"),o=t("../../lib"),s=o.strTranslate,l=t("../../plots/cartesian/axes"),c=t("../color"),u=t("../drawing"),f=t("../fx"),h=t("../../lib/svg_text_utils"),p=t("../../lib/setcursor"),d=t("../dragelement"),m=t("../../plot_api/plot_template").arrayEditor,g=t("./draw_arrow_head");function v(t,e){var r=t._fullLayout.annotations[e]||{},n=l.getFromId(t,r.xref),i=l.getFromId(t,r.yref);n&&n.setScale(),i&&i.setScale(),x(t,r,e,!1,n,i)}function y(t,e,r,n,i){var a=i[r],o=i[r+"ref"],s=-1!==r.indexOf("y"),c="domain"===l.getRefType(o),u=s?n.h:n.w;return t?c?a+(s?-e:e)/t._length:t.p2r(t.r2p(a)+e):a+(s?-e:e)/u}function x(t,e,r,a,v,x){var b,_,w=t._fullLayout,T=t._fullLayout._size,k=t._context.edits;a?(b="annotation-"+a,_=a+".annotations"):(b="annotation",_="annotations");var A=m(t.layout,_,e),M=A.modifyBase,S=A.modifyItem,E=A.getUpdateObj;w._infolayer.selectAll("."+b+'[data-index="'+r+'"]').remove();var L="clip"+w._uid+"_ann"+r;if(e._input&&!1!==e.visible){var C={x:{},y:{}},P=+e.textangle||0,I=w._infolayer.append("g").classed(b,!0).attr("data-index",String(r)).style("opacity",e.opacity),O=I.append("g").classed("annotation-text-g",!0),z=k[e.showarrow?"annotationTail":"annotationPosition"],D=e.captureevents||k.annotationText||z,R=O.append("g").style("pointer-events",D?"all":null).call(p,"pointer").on("click",(function(){t._dragging=!1,t.emit("plotly_clickannotation",Y(n.event))}));e.hovertext&&R.on("mouseover",(function(){var r=e.hoverlabel,n=r.font,i=this.getBoundingClientRect(),a=t.getBoundingClientRect();f.loneHover({x0:i.left-a.left,x1:i.right-a.left,y:(i.top+i.bottom)/2-a.top,text:e.hovertext,color:r.bgcolor,borderColor:r.bordercolor,fontFamily:n.family,fontSize:n.size,fontColor:n.color},{container:w._hoverlayer.node(),outerContainer:w._paper.node(),gd:t})})).on("mouseout",(function(){f.loneUnhover(w._hoverlayer.node())}));var F=e.borderwidth,B=e.borderpad,N=F+B,j=R.append("rect").attr("class","bg").style("stroke-width",F+"px").call(c.stroke,e.bordercolor).call(c.fill,e.bgcolor),U=e.width||e.height,V=w._topclips.selectAll("#"+L).data(U?[0]:[]);V.enter().append("clipPath").classed("annclip",!0).attr("id",L).append("rect"),V.exit().remove();var H=e.font,q=w._meta?o.templateString(e.text,w._meta):e.text,G=R.append("text").classed("annotation-text",!0).text(q);k.annotationText?G.call(h.makeEditable,{delegate:R,gd:t}).call(W).on("edit",(function(r){e.text=r,this.call(W),S("text",r),v&&v.autorange&&M(v._name+".autorange",!0),x&&x.autorange&&M(x._name+".autorange",!0),i.call("_guiRelayout",t,E())})):G.call(W)}else n.selectAll("#"+L).remove();function Y(t){var n={index:r,annotation:e._input,fullAnnotation:e,event:t};return a&&(n.subplotId=a),n}function W(r){return r.call(u.font,H).attr({"text-anchor":{left:"start",right:"end"}[e.align]||"middle"}),h.convertToTspans(r,t,X),r}function X(){var r=G.selectAll("a");1===r.size()&&r.text()===G.text()&&R.insert("a",":first-child").attr({"xlink:xlink:href":r.attr("xlink:href"),"xlink:xlink:show":r.attr("xlink:show")}).style({cursor:"pointer"}).node().appendChild(j.node());var n=R.select(".annotation-text-math-group"),f=!n.empty(),m=u.bBox((f?n:G).node()),b=m.width,_=m.height,A=e.width||b,D=e.height||_,B=Math.round(A+2*N),H=Math.round(D+2*N);function q(t,e){return"auto"===e&&(e=t<1/3?"left":t>2/3?"right":"center"),{center:0,middle:0,left:.5,bottom:-.5,right:-.5,top:.5}[e]}for(var W=!1,X=["x","y"],Z=0;Z<X.length;Z++){var J,K,Q,$,tt,et=X[Z],rt=e[et+"ref"]||et,nt=e["a"+et+"ref"],it={x:v,y:x}[et],at=(P+("x"===et?0:-90))*Math.PI/180,ot=B*Math.cos(at),st=H*Math.sin(at),lt=Math.abs(ot)+Math.abs(st),ct=e[et+"anchor"],ut=e[et+"shift"]*("x"===et?1:-1),ft=C[et],ht=l.getRefType(rt);if(it&&"domain"!==ht){var pt=it.r2fraction(e[et]);(pt<0||pt>1)&&(nt===rt?((pt=it.r2fraction(e["a"+et]))<0||pt>1)&&(W=!0):W=!0),J=it._offset+it.r2p(e[et]),$=.5}else{var dt="domain"===ht;"x"===et?(Q=e[et],J=dt?it._offset+it._length*Q:J=T.l+T.w*Q):(Q=1-e[et],J=dt?it._offset+it._length*Q:J=T.t+T.h*Q),$=e.showarrow?.5:Q}if(e.showarrow){ft.head=J;var mt=e["a"+et];if(tt=ot*q(.5,e.xanchor)-st*q(.5,e.yanchor),nt===rt){var gt=l.getRefType(nt);"domain"===gt?("y"===et&&(mt=1-mt),ft.tail=it._offset+it._length*mt):"paper"===gt?"y"===et?(mt=1-mt,ft.tail=T.t+T.h*mt):ft.tail=T.l+T.w*mt:ft.tail=it._offset+it.r2p(mt),K=tt}else ft.tail=J+mt,K=tt+mt;ft.text=ft.tail+tt;var vt=w["x"===et?"width":"height"];if("paper"===rt&&(ft.head=o.constrain(ft.head,1,vt-1)),"pixel"===nt){var yt=-Math.max(ft.tail-3,ft.text),xt=Math.min(ft.tail+3,ft.text)-vt;yt>0?(ft.tail+=yt,ft.text+=yt):xt>0&&(ft.tail-=xt,ft.text-=xt)}ft.tail+=ut,ft.head+=ut}else K=tt=lt*q($,ct),ft.text=J+tt;ft.text+=ut,tt+=ut,K+=ut,e["_"+et+"padplus"]=lt/2+K,e["_"+et+"padminus"]=lt/2-K,e["_"+et+"size"]=lt,e["_"+et+"shift"]=tt}if(W)R.remove();else{var bt=0,_t=0;if("left"!==e.align&&(bt=(A-b)*("center"===e.align?.5:1)),"top"!==e.valign&&(_t=(D-_)*("middle"===e.valign?.5:1)),f)n.select("svg").attr({x:N+bt-1,y:N+_t}).call(u.setClipUrl,U?L:null,t);else{var wt=N+_t-m.top,Tt=N+bt-m.left;G.call(h.positionText,Tt,wt).call(u.setClipUrl,U?L:null,t)}V.select("rect").call(u.setRect,N,N,A,D),j.call(u.setRect,F/2,F/2,B-F,H-F),R.call(u.setTranslate,Math.round(C.x.text-B/2),Math.round(C.y.text-H/2)),O.attr({transform:"rotate("+P+","+C.x.text+","+C.y.text+")"});var kt,At=function(r,n){I.selectAll(".annotation-arrow-g").remove();var l=C.x.head,f=C.y.head,h=C.x.tail+r,p=C.y.tail+n,m=C.x.text+r,b=C.y.text+n,_=o.rotationXYMatrix(P,m,b),w=o.apply2DTransform(_),A=o.apply2DTransform2(_),L=+j.attr("width"),z=+j.attr("height"),D=m-.5*L,F=D+L,B=b-.5*z,N=B+z,U=[[D,B,D,N],[D,N,F,N],[F,N,F,B],[F,B,D,B]].map(A);if(!U.reduce((function(t,e){return t^!!o.segmentsIntersect(l,f,l+1e6,f+1e6,e[0],e[1],e[2],e[3])}),!1)){U.forEach((function(t){var e=o.segmentsIntersect(h,p,l,f,t[0],t[1],t[2],t[3]);e&&(h=e.x,p=e.y)}));var V=e.arrowwidth,H=e.arrowcolor,q=e.arrowside,G=I.append("g").style({opacity:c.opacity(H)}).classed("annotation-arrow-g",!0),Y=G.append("path").attr("d","M"+h+","+p+"L"+l+","+f).style("stroke-width",V+"px").call(c.stroke,c.rgb(H));if(g(Y,q,e),k.annotationPosition&&Y.node().parentNode&&!a){var W=l,X=f;if(e.standoff){var Z=Math.sqrt(Math.pow(l-h,2)+Math.pow(f-p,2));W+=e.standoff*(h-l)/Z,X+=e.standoff*(p-f)/Z}var J,K,Q=G.append("path").classed("annotation-arrow",!0).classed("anndrag",!0).classed("cursor-move",!0).attr({d:"M3,3H-3V-3H3ZM0,0L"+(h-W)+","+(p-X),transform:s(W,X)}).style("stroke-width",V+6+"px").call(c.stroke,"rgba(0,0,0,0)").call(c.fill,"rgba(0,0,0,0)");d.init({element:Q.node(),gd:t,prepFn:function(){var t=u.getTranslate(R);J=t.x,K=t.y,v&&v.autorange&&M(v._name+".autorange",!0),x&&x.autorange&&M(x._name+".autorange",!0)},moveFn:function(t,r){var n=w(J,K),i=n[0]+t,a=n[1]+r;R.call(u.setTranslate,i,a),S("x",y(v,t,"x",T,e)),S("y",y(x,r,"y",T,e)),e.axref===e.xref&&S("ax",y(v,t,"ax",T,e)),e.ayref===e.yref&&S("ay",y(x,r,"ay",T,e)),G.attr("transform",s(t,r)),O.attr({transform:"rotate("+P+","+i+","+a+")"})},doneFn:function(){i.call("_guiRelayout",t,E());var e=document.querySelector(".js-notes-box-panel");e&&e.redraw(e.selectedObj)}})}}};if(e.showarrow&&At(0,0),z)d.init({element:R.node(),gd:t,prepFn:function(){kt=O.attr("transform")},moveFn:function(t,r){var n="pointer";if(e.showarrow)e.axref===e.xref?S("ax",y(v,t,"ax",T,e)):S("ax",e.ax+t),e.ayref===e.yref?S("ay",y(x,r,"ay",T.w,e)):S("ay",e.ay+r),At(t,r);else{if(a)return;var i,o;if(v)i=y(v,t,"x",T,e);else{var l=e._xsize/T.w,c=e.x+(e._xshift-e.xshift)/T.w-l/2;i=d.align(c+t/T.w,l,0,1,e.xanchor)}if(x)o=y(x,r,"y",T,e);else{var u=e._ysize/T.h,f=e.y-(e._yshift+e.yshift)/T.h-u/2;o=d.align(f-r/T.h,u,0,1,e.yanchor)}S("x",i),S("y",o),v&&x||(n=d.getCursor(v?.5:i,x?.5:o,e.xanchor,e.yanchor))}O.attr({transform:s(t,r)+kt}),p(R,n)},clickFn:function(r,n){e.captureevents&&t.emit("plotly_clickannotation",Y(n))},doneFn:function(){p(R),i.call("_guiRelayout",t,E());var e=document.querySelector(".js-notes-box-panel");e&&e.redraw(e.selectedObj)}})}}}e.exports={draw:function(t){var e=t._fullLayout;e._infolayer.selectAll(".annotation").remove();for(var r=0;r<e.annotations.length;r++)e.annotations[r].visible&&v(t,r);return a.previousPromises(t)},drawOne:v,drawRaw:x}},{"../../lib":498,"../../lib/setcursor":519,"../../lib/svg_text_utils":524,"../../plot_api/plot_template":538,"../../plots/cartesian/axes":549,"../../plots/plots":614,"../../registry":633,"../color":361,"../dragelement":380,"../drawing":383,"../fx":401,"./draw_arrow_head":351,"@plotly/d3":58}],351:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../color"),a=t("./arrow_paths"),o=t("../../lib"),s=o.strScale,l=o.strRotate,c=o.strTranslate;e.exports=function(t,e,r){var o,u,f,h,p=t.node(),d=a[r.arrowhead||0],m=a[r.startarrowhead||0],g=(r.arrowwidth||1)*(r.arrowsize||1),v=(r.arrowwidth||1)*(r.startarrowsize||1),y=e.indexOf("start")>=0,x=e.indexOf("end")>=0,b=d.backoff*g+r.standoff,_=m.backoff*v+r.startstandoff;if("line"===p.nodeName){o={x:+t.attr("x1"),y:+t.attr("y1")},u={x:+t.attr("x2"),y:+t.attr("y2")};var w=o.x-u.x,T=o.y-u.y;if(h=(f=Math.atan2(T,w))+Math.PI,b&&_&&b+_>Math.sqrt(w*w+T*T))return void z();if(b){if(b*b>w*w+T*T)return void z();var k=b*Math.cos(f),A=b*Math.sin(f);u.x+=k,u.y+=A,t.attr({x2:u.x,y2:u.y})}if(_){if(_*_>w*w+T*T)return void z();var M=_*Math.cos(f),S=_*Math.sin(f);o.x-=M,o.y-=S,t.attr({x1:o.x,y1:o.y})}}else if("path"===p.nodeName){var E=p.getTotalLength(),L="";if(E<b+_)return void z();var C=p.getPointAtLength(0),P=p.getPointAtLength(.1);f=Math.atan2(C.y-P.y,C.x-P.x),o=p.getPointAtLength(Math.min(_,E)),L="0px,"+_+"px,";var I=p.getPointAtLength(E),O=p.getPointAtLength(E-.1);h=Math.atan2(I.y-O.y,I.x-O.x),u=p.getPointAtLength(Math.max(0,E-b)),L+=E-(L?_+b:b)+"px,"+E+"px",t.style("stroke-dasharray",L)}function z(){t.style("stroke-dasharray","0px,100px")}function D(e,a,o,u){e.path&&(e.noRotate&&(o=0),n.select(p.parentNode).append("path").attr({class:t.attr("class"),d:e.path,transform:c(a.x,a.y)+l(180*o/Math.PI)+s(u)}).style({fill:i.rgb(r.arrowcolor),"stroke-width":0}))}y&&D(m,o,f,v),x&&D(d,u,h,g)}},{"../../lib":498,"../color":361,"./arrow_paths":343,"@plotly/d3":58}],352:[function(t,e,r){"use strict";var n=t("./draw"),i=t("./click");e.exports={moduleType:"component",name:"annotations",layoutAttributes:t("./attributes"),supplyLayoutDefaults:t("./defaults"),includeBasePlot:t("../../plots/cartesian/include_components")("annotations"),calcAutorange:t("./calc_autorange"),draw:n.draw,drawOne:n.drawOne,drawRaw:n.drawRaw,hasClickToShow:i.hasClickToShow,onClick:i.onClick,convertCoords:t("./convert_coords")}},{"../../plots/cartesian/include_components":562,"./attributes":344,"./calc_autorange":345,"./click":346,"./convert_coords":348,"./defaults":349,"./draw":350}],353:[function(t,e,r){"use strict";var n=t("../annotations/attributes"),i=t("../../plot_api/edit_types").overrideAll,a=t("../../plot_api/plot_template").templatedArray;e.exports=i(a("annotation",{visible:n.visible,x:{valType:"any"},y:{valType:"any"},z:{valType:"any"},ax:{valType:"number"},ay:{valType:"number"},xanchor:n.xanchor,xshift:n.xshift,yanchor:n.yanchor,yshift:n.yshift,text:n.text,textangle:n.textangle,font:n.font,width:n.width,height:n.height,opacity:n.opacity,align:n.align,valign:n.valign,bgcolor:n.bgcolor,bordercolor:n.bordercolor,borderpad:n.borderpad,borderwidth:n.borderwidth,showarrow:n.showarrow,arrowcolor:n.arrowcolor,arrowhead:n.arrowhead,startarrowhead:n.startarrowhead,arrowside:n.arrowside,arrowsize:n.arrowsize,startarrowsize:n.startarrowsize,arrowwidth:n.arrowwidth,standoff:n.standoff,startstandoff:n.startstandoff,hovertext:n.hovertext,hoverlabel:n.hoverlabel,captureevents:n.captureevents}),"calc","from-root")},{"../../plot_api/edit_types":531,"../../plot_api/plot_template":538,"../annotations/attributes":344}],354:[function(t,e,r){"use 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V,H,q,G,Y,W,X,Z,J,K,Q,$,tt,et=[],rt=[],nt={hLinePoint:null,vLinePoint:null},it=!1;if(Array.isArray(e))for(P="array",q=0;q<e.length;q++)(Y=t.calcdata[e[q].curveNumber||0])&&(W=Y[0].trace,"skip"!==Y[0].trace.hoverinfo&&(rt.push(Y),"h"===W.orientation&&(it=!0)));else{for(G=0;G<t.calcdata.length;G++)Y=t.calcdata[G],"skip"!==(W=Y[0].trace).hoverinfo&&v.isTraceInSubplots(W,l)&&(rt.push(Y),"h"===W.orientation&&(it=!0));var at,ot;if(!s)at="xpx"in e?e.xpx:_[0]._length/2,ot="ypx"in e?e.ypx:w[0]._length/2;else{if(!1===c.triggerHandler(t,"plotly_beforehover",e))return;var st=s.getBoundingClientRect();at=e.clientX-st.left,ot=e.clientY-st.top,u._calcInverseTransform(t);var lt=o.apply3DTransform(u._invTransform)(at,ot);if(at=lt[0],ot=lt[1],at<0||at>_[0]._length||ot<0||ot>w[0]._length)return d.unhoverRaw(t,e)}if(e.pointerX=at+_[0]._offset,e.pointerY=ot+w[0]._offset,V="xval"in e?v.flat(l,e.xval):v.p2c(_,at),H="yval"in e?v.flat(l,e.yval):v.p2c(w,ot),!i(V[0])||!i(H[0]))return o.warn("Fx.hover 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n=t("@plotly/d3"),i=t("../../lib"),a=t("../dragelement"),o=t("./helpers"),s=t("./layout_attributes"),l=t("./hover");e.exports={moduleType:"component",name:"fx",constants:t("./constants"),schema:{layout:s},attributes:t("./attributes"),layoutAttributes:s,supplyLayoutGlobalDefaults:t("./layout_global_defaults"),supplyDefaults:t("./defaults"),supplyLayoutDefaults:t("./layout_defaults"),calc:t("./calc"),getDistanceFunction:o.getDistanceFunction,getClosest:o.getClosest,inbox:o.inbox,quadrature:o.quadrature,appendArrayPointValue:o.appendArrayPointValue,castHoverOption:function(t,e,r){return i.castOption(t,e,"hoverlabel."+r)},castHoverinfo:function(t,e,r){return i.castOption(t,r,"hoverinfo",(function(r){return i.coerceHoverinfo({hoverinfo:r},{_module:t._module},e)}))},hover:l.hover,unhover:a.unhover,loneHover:l.loneHover,loneUnhover:function(t){var 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n=t("../../plots/cartesian/constants"),i=t("../../plot_api/plot_template").templatedArray;t("../../constants/axis_placeable_objects");e.exports=i("image",{visible:{valType:"boolean",dflt:!0,editType:"arraydraw"},source:{valType:"string",editType:"arraydraw"},layer:{valType:"enumerated",values:["below","above"],dflt:"above",editType:"arraydraw"},sizex:{valType:"number",dflt:0,editType:"arraydraw"},sizey:{valType:"number",dflt:0,editType:"arraydraw"},sizing:{valType:"enumerated",values:["fill","contain","stretch"],dflt:"contain",editType:"arraydraw"},opacity:{valType:"number",min:0,max:1,dflt:1,editType:"arraydraw"},x:{valType:"any",dflt:0,editType:"arraydraw"},y:{valType:"any",dflt:0,editType:"arraydraw"},xanchor:{valType:"enumerated",values:["left","center","right"],dflt:"left",editType:"arraydraw"},yanchor:{valType:"enumerated",values:["top","middle","bottom"],dflt:"top",editType:"arraydraw"},xref:{valType:"enumerated",values:["paper",n.idRegex.x.toString()],dflt:"paper",editType:"arraydraw"},yref:{valType:"enumerated",values:["paper",n.idRegex.y.toString()],dflt:"paper",editType:"arraydraw"},editType:"arraydraw"})},{"../../constants/axis_placeable_objects":467,"../../plot_api/plot_template":538,"../../plots/cartesian/constants":556}],407:[function(t,e,r){"use 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r=t[0].trace,o=n.select(this).select("g.legendpoints").selectAll("path.legendbox").data(r.visible&&i.traceIs(r,"box-violin")?[t]:[]);o.enter().append("path").classed("legendbox",!0).attr("d","M6,6H-6V-6H6Z").attr("transform",_),o.exit().remove(),o.each((function(){var t=n.select(this);if("all"!==r.boxpoints&&"all"!==r.points||0!==l.opacity(r.fillcolor)||0!==l.opacity((r.line||{}).color)){var i=w(void 0,r.line,5,2);t.style("stroke-width",i+"px").call(l.fill,r.fillcolor),i&&l.stroke(t,r.line.color)}else{var c=a.minExtend(r,{marker:{size:y?12:a.constrain(r.marker.size,2,16),sizeref:1,sizemin:1,sizemode:"diameter"}});o.call(s.pointStyle,c,e)}}))})).each((function(t){k(t,this,"funnelarea")})).each((function(t){k(t,this,"pie")})).each((function(t){var 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p,d="in"===l?.5:2,m=(1+d)/2,g=(1-d)/2;for(i=0;i<f.length;i++)if(!(r=f[i]).fixedrange)if(p=r._name,"auto"===l)u[p+".autorange"]=!0;else if("reset"===l){if(void 0===r._rangeInitial)u[p+".autorange"]=!0;else{var v=r._rangeInitial.slice();u[p+".range[0]"]=v[0],u[p+".range[1]"]=v[1]}void 0!==r._showSpikeInitial&&(u[p+".showspikes"]=r._showSpikeInitial,"on"!==h||r._showSpikeInitial||(h="off"))}else{var y=[r.r2l(r.range[0]),r.r2l(r.range[1])],x=[m*y[0]+g*y[1],m*y[1]+g*y[0]];u[p+".range[0]"]=r.l2r(x[0]),u[p+".range[1]"]=r.l2r(x[1])}}else"hovermode"!==s||"x"!==l&&"y"!==l||(l=c._isHoriz?"y":"x",o.setAttribute("data-val",l)),u[s]=l;c._cartesianSpikesEnabled=h,n.call("_guiRelayout",t,u)}function h(t,e){for(var r=e.currentTarget,i=r.getAttribute("data-attr"),a=r.getAttribute("data-val")||!0,o=t._fullLayout._subplots.gl3d||[],s={},l=i.split("."),c=0;c<o.length;c++)s[o[c]+"."+l[1]]=a;var u="pan"===a?a:"zoom";s.dragmode=u,n.call("_guiRelayout",t,s)}function p(t,e){for(var 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r=e.currentTarget,i=r.getAttribute("data-attr"),a=r.getAttribute("data-val")||!0,o=t._fullLayout,s=o._subplots.geo||[],l=0;l<s.length;l++){var c=s[l],u=o[c];if("zoom"===i){var f=u.projection.scale,h="in"===a?2*f:.5*f;n.call("_guiRelayout",t,c+".projection.scale",h)}}"reset"===i&&x(t,"geo")}function g(t){var e=t._fullLayout;return!e.hovermode&&(e._has("cartesian")?e._isHoriz?"y":"x":"closest")}function v(t){var e=g(t);n.call("_guiRelayout",t,"hovermode",e)}function y(t,e){for(var r=e.currentTarget.getAttribute("data-val"),i=t._fullLayout,a=i._subplots.mapbox||[],o={},s=0;s<a.length;s++){var l=a[s],c=i[l].zoom,u="in"===r?1.05*c:c/1.05;o[l+".zoom"]=u}n.call("_guiRelayout",t,o)}function x(t,e){for(var r=t._fullLayout,i=r._subplots[e]||[],a={},o=0;o<i.length;o++)for(var s=i[o],l=r[s]._subplot.viewInitial,c=Object.keys(l),u=0;u<c.length;u++){var f=c[u];a[s+"."+f]=l[f]}n.call("_guiRelayout",t,a)}u.toImage={name:"toImage",title:function(t){var e=(t._context.toImageButtonOptions||{}).format||"png";return c(t,"png"===e?"Download plot as a png":"Download plot")},icon:o.camera,click:function(t){var e=t._context.toImageButtonOptions,r={format:e.format||"png"};l.notifier(c(t,"Taking snapshot - this may take a few seconds"),"long"),"svg"!==r.format&&l.isIE()&&(l.notifier(c(t,"IE only supports svg.  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hover")},attr:"hovermode",val:null,toggle:!0,icon:o.tooltip_basic,gravity:"ne",click:v},u.hoverClosestGl2d={name:"hoverClosestGl2d",_cat:"hoverclosest",title:function(t){return c(t,"Toggle show closest data on hover")},attr:"hovermode",val:null,toggle:!0,icon:o.tooltip_basic,gravity:"ne",click:v},u.hoverClosestPie={name:"hoverClosestPie",_cat:"hoverclosest",title:function(t){return c(t,"Toggle show closest data on hover")},attr:"hovermode",val:"closest",icon:o.tooltip_basic,gravity:"ne",click:v},u.resetViewSankey={name:"resetSankeyGroup",title:function(t){return c(t,"Reset view")},icon:o.home,click:function(t){for(var e={"node.groups":[],"node.x":[],"node.y":[]},r=0;r<t._fullData.length;r++){var i=t._fullData[r]._viewInitial;e["node.groups"].push(i.node.groups.slice()),e["node.x"].push(i.node.x.slice()),e["node.y"].push(i.node.y.slice())}n.call("restyle",t,e)}},u.toggleHover={name:"toggleHover",title:function(t){return c(t,"Toggle show closest data on hover")},attr:"hovermode",val:null,toggle:!0,icon:o.tooltip_basic,gravity:"ne",click:function(t,e){var r=d(t,e);r.hovermode=g(t),n.call("_guiRelayout",t,r)}},u.resetViews={name:"resetViews",title:function(t){return c(t,"Reset views")},icon:o.home,click:function(t,e){var r=e.currentTarget;r.setAttribute("data-attr","zoom"),r.setAttribute("data-val","reset"),f(t,e),r.setAttribute("data-attr","resetLastSave"),p(t,e),x(t,"geo"),x(t,"mapbox")}},u.toggleSpikelines={name:"toggleSpikelines",title:function(t){return c(t,"Toggle Spike Lines")},icon:o.spikeline,attr:"_cartesianSpikesEnabled",val:"on",click:function(t){var e=t._fullLayout,r=e._cartesianSpikesEnabled;e._cartesianSpikesEnabled="on"===r?"off":"on",n.call("_guiRelayout",t,function(t){for(var e="on"===t._fullLayout._cartesianSpikesEnabled,r=a.list(t,null,!0),n={},i=0;i<r.length;i++){var o=r[i];n[o._name+".showspikes"]=!!e||o._showSpikeInitial}return n}(t))}},u.resetViewMapbox={name:"resetViewMapbox",_cat:"resetView",title:function(t){return c(t,"Reset view")},attr:"reset",icon:o.home,click:function(t){x(t,"mapbox")}},u.zoomInMapbox={name:"zoomInMapbox",_cat:"zoomin",title:function(t){return c(t,"Zoom in")},attr:"zoom",val:"in",icon:o.zoom_plus,click:y},u.zoomOutMapbox={name:"zoomOutMapbox",_cat:"zoomout",title:function(t){return c(t,"Zoom out")},attr:"zoom",val:"out",icon:o.zoom_minus,click:y}},{"../../fonts/ploticon":477,"../../lib":498,"../../plots/cartesian/axis_ids":553,"../../plots/plots":614,"../../registry":633,"../shapes/draw":445}],422:[function(t,e,r){"use strict";var n=t("./buttons"),i=Object.keys(n),a=["drawline","drawopenpath","drawclosedpath","drawcircle","drawrect","eraseshape"],o=["v1hovermode","hoverclosest","hovercompare","togglehover","togglespikelines"].concat(a),s=[];i.forEach((function(t){!function(t){if(-1===o.indexOf(t._cat||t.name)){var 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r,n,a,o,s=t._fullLayout,c=s._plots,u=s._subplots.cartesian;if(ut&&l.subplotsRegistry.splom.drag(t),ct)for(r=0;r<u.length;r++)if(a=(n=c[u[r]]).xaxis,o=n.yaxis,n._scene){var f=i.simpleMap(a.range,a.r2l),p=i.simpleMap(o.range,o.r2l);n._scene.update({range:[f[0],p[0],f[1],p[1]]})}if((ut||ct)&&(_(t),w(t)),ft){var d=e[2]/I._length,g=e[3]/O._length;for(r=0;r<u.length;r++){a=(n=c[u[r]]).xaxis,o=n.yaxis;var y,x,b,T,k=(st||nt.isSubplotConstrained)&&!a.fixedrange&&V[a._id],A=(lt||nt.isSubplotConstrained)&&!o.fixedrange&&Z[o._id];if(k?(y=d,b=v||nt.isSubplotConstrained?e[0]:Zt(a,y)):nt.xaHash[a._id]?(y=d,b=e[0]*a._length/I._length):nt.yaHash[a._id]?(y=g,b="ns"===at?-e[1]*a._length/O._length:Zt(a,y,{n:"top",s:"bottom"}[at])):b=Xt(a,y=Wt(a,d,g)),A?(x=g,T=m||nt.isSubplotConstrained?e[1]:Zt(o,x)):nt.yaHash[o._id]?(x=g,T=e[1]*o._length/O._length):nt.xaHash[o._id]?(x=d,T="ew"===it?-e[0]*o._length/I._length:Zt(o,x,{e:"right",w:"left"}[it])):T=Xt(o,x=Wt(o,d,g)),y||x){y||(y=1),x||(x=1);var M=a._offset-b/y,S=o._offset-T/x;n.clipRect.call(h.setTranslate,b,T).call(h.setScale,y,x),n.plot.call(h.setTranslate,M,S).call(h.setScale,1/y,1/x),y===n.xScaleFactor&&x===n.yScaleFactor||(h.setPointGroupScale(n.zoomScalePts,y,x),h.setTextPointsScale(n.zoomScaleTxt,y,x)),h.hideOutsideRangePoints(n.clipOnAxisFalseTraces,n),n.xScaleFactor=y,n.yScaleFactor=x}}}}function Wt(t,e,r){return t.fixedrange?0:st&&rt.xaHash[t._id]?e:lt&&(rt.isSubplotConstrained?rt.xaHash:rt.yaHash)[t._id]?r:0}function Xt(t,e){return e?(t.range=t._r.slice(),E(t,e),Zt(t,e)):0}function Zt(t,e,r){return t._length*(1-e)*b[r||t.constraintoward||"middle"]}return m.length*v.length!=1&&W(bt,(function(e){if(t._context._scrollZoom.cartesian||t._fullLayout._enablescrollzoom){if(It(),t._transitioningWithDuration)return e.preventDefault(),void e.stopPropagation();yt(),clearTimeout(Bt);var r=-e.deltaY;if(isFinite(r)||(r=e.wheelDelta/10),isFinite(r)){var n,a=Math.exp(-Math.min(Math.max(r,-20),20)/200),o=jt.draglayer.select(".nsewdrag").node().getBoundingClientRect(),s=(e.clientX-o.left)/o.width,l=(o.bottom-e.clientY)/o.height;if(st){for(v||(s=.5),n=0;n<J.length;n++)c(J[n],s,a);Vt("x"),Ft[2]*=a,Ft[0]+=Ft[2]*s*(1/a-1)}if(lt){for(m||(l=.5),n=0;n<K.length;n++)c(K[n],l,a);Vt("y"),Ft[3]*=a,Ft[1]+=Ft[3]*(1-l)*(1/a-1)}Yt(Ft),Ht(),t.emit("plotly_relayouting",ht),Bt=setTimeout((function(){t._fullLayout&&(Ft=[0,0,tt,et],Gt())}),Nt),e.preventDefault()}else i.log("Did not find wheel motion attributes: ",e)}function c(t,e,r){if(!t.fixedrange){var n=i.simpleMap(t.range,t.r2l),a=n[0]+(n[1]-n[0])*e;t.range=n.map((function(e){return t.l2r(a+(e-a)*r)}))}}})),bt},makeDragger:O,makeRectDragger:z,makeZoombox:N,makeCorners:j,updateZoombox:U,xyCorners:G,transitionZoombox:V,removeZoombox:H,showDoubleClickNotifier:q,attachWheelEventHandler:W}},{"../../components/color":361,"../../components/dragelement":380,"../../components/dragelement/helpers":379,"../../components/drawing":383,"../../components/fx":401,"../../constants/alignment":466,"../../lib":498,"../../lib/clear_gl_canvases":482,"../../lib/setcursor":519,"../../lib/svg_text_utils":524,"../../plot_api/subroutines":539,"../../registry":633,"../plots":614,"./axes":549,"./axis_ids":553,"./constants":556,"./scale_zoom":569,"./select":570,"@plotly/d3":58,"has-passive-events":224,tinycolor2:307}],559:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../../components/fx"),a=t("../../components/dragelement"),o=t("../../lib/setcursor"),s=t("./dragbox").makeDragBox,l=t("./constants").DRAGGERSIZE;r.initInteractions=function(t){var e=t._fullLayout;if(t._context.staticPlot)n.select(t).selectAll(".drag").remove();else if(e._has("cartesian")||e._has("splom")){Object.keys(e._plots||{}).sort((function(t,r){if((e._plots[t].mainplot&&!0)===(e._plots[r].mainplot&&!0)){var n=t.split("y"),i=r.split("y");return n[0]===i[0]?Number(n[1]||1)-Number(i[1]||1):Number(n[0]||1)-Number(i[0]||1)}return e._plots[t].mainplot?1:-1})).forEach((function(r){var n=e._plots[r],o=n.xaxis,c=n.yaxis;if(!n.mainplot){var u=s(t,n,o._offset,c._offset,o._length,c._length,"ns","ew");u.onmousemove=function(e){t._fullLayout._rehover=function(){t._fullLayout._hoversubplot===r&&t._fullLayout._plots[r]&&i.hover(t,e,r)},i.hover(t,e,r),t._fullLayout._lasthover=u,t._fullLayout._hoversubplot=r},u.onmouseout=function(e){t._dragging||(t._fullLayout._hoversubplot=null,a.unhover(t,e))},t._context.showAxisDragHandles&&(s(t,n,o._offset-l,c._offset-l,l,l,"n","w"),s(t,n,o._offset+o._length,c._offset-l,l,l,"n","e"),s(t,n,o._offset-l,c._offset+c._length,l,l,"s","w"),s(t,n,o._offset+o._length,c._offset+c._length,l,l,"s","e"))}if(t._context.showAxisDragHandles){if(r===o._mainSubplot){var f=o._mainLinePosition;"top"===o.side&&(f-=l),s(t,n,o._offset+.1*o._length,f,.8*o._length,l,"","ew"),s(t,n,o._offset,f,.1*o._length,l,"","w"),s(t,n,o._offset+.9*o._length,f,.1*o._length,l,"","e")}if(r===c._mainSubplot){var 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e=t._fullLayout._zoomlayer;e&&e.selectAll(".select-outline").remove(),t._fullLayout._drawing=!1}}},{}],561:[function(t,e,r){"use strict";var n=t("../../lib").strTranslate;function i(t,e){switch(t.type){case"log":return t.p2d(e);case"date":return t.p2r(e,0,t.calendar);default:return t.p2r(e)}}e.exports={p2r:i,r2p:function(t,e){switch(t.type){case"log":return t.d2p(e);case"date":return t.r2p(e,0,t.calendar);default:return t.r2p(e)}},axValue:function(t){var e="y"===t._id.charAt(0)?1:0;return function(r){return i(t,r[e])}},getTransform:function(t){return n(t.xaxis._offset,t.yaxis._offset)}}},{"../../lib":498}],562:[function(t,e,r){"use strict";var n=t("../../registry"),i=t("../../lib"),a=t("./axis_ids");e.exports=function(t){return function(e,r){var o=e[t];if(Array.isArray(o))for(var s=n.subplotsRegistry.cartesian,l=s.idRegex,c=r._subplots,u=c.xaxis,f=c.yaxis,h=c.cartesian,p=r._has("cartesian")||r._has("gl2d"),d=0;d<o.length;d++){var m=o[d];if(i.isPlainObject(m)){var 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n=t("polybooljs"),i=t("../../registry"),a=t("../../components/drawing").dashStyle,o=t("../../components/color"),s=t("../../components/fx"),l=t("../../components/fx/helpers").makeEventData,c=t("../../components/dragelement/helpers"),u=c.freeMode,f=c.rectMode,h=c.drawMode,p=c.openMode,d=c.selectMode,m=t("../../components/shapes/draw_newshape/display_outlines"),g=t("../../components/shapes/draw_newshape/helpers").handleEllipse,v=t("../../components/shapes/draw_newshape/newshapes"),y=t("../../lib"),x=t("../../lib/polygon"),b=t("../../lib/throttle"),_=t("./axis_ids").getFromId,w=t("../../lib/clear_gl_canvases"),T=t("../../plot_api/subroutines").redrawReglTraces,k=t("./constants"),A=k.MINSELECT,M=x.filter,S=x.tester,E=t("./handle_outline").clearSelect,L=t("./helpers"),C=L.p2r,P=L.axValue,I=L.getTransform;function O(t,e,r,n,i,a,o){var s,l,c,u,f,h,d,g,v,y=e._hoverdata,x=e._fullLayout.clickmode.indexOf("event")>-1,b=[];if(function(t){return 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d=!1;for(n=0;n<e.length;n++){s=(o=(a=e[n]).cd)[0].trace,i.traceIs(s,"regl")&&(d=!0);var m=a._module,g=m.styleOnSelect||m.style;g&&(g(t,o,o[0].node3),o[0].nodeRangePlot3&&g(t,o,o[0].nodeRangePlot3))}d&&(w(t),T(t))}function V(t,e){if(Array.isArray(t))for(var r=e.cd,n=e.cd[0].trace,i=0;i<t.length;i++)t[i]=l(t[i],n,r);return t}function H(t,e){for(var r=[],n=0;n<t.length;n++){r[n]=[];for(var i=0;i<t[n].length;i++){r[n][i]=[],r[n][i][0]=i?"L":"M";for(var a=0;a<t[n][i].length;a++)r[n][i].push(t[n][i][a])}e||r[n].push(["Z",r[n][0][1],r[n][0][2]])}return r}e.exports={prepSelect:function(t,e,r,i,l){var c=u(l),v=f(l),x=p(l),_=h(l),w=d(l),T="drawcircle"===l,E="drawline"===l||T,L=i.gd,z=L._fullLayout,D=z._zoomlayer,j=i.element.getBoundingClientRect(),q=i.plotinfo,G=I(q),Y=e-j.left,W=r-j.top;z._calcInverseTransform(L);var X=y.apply3DTransform(z._invTransform)(Y,W);Y=X[0],W=X[1];var 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v(t,e){var r=t[0],n=t[1],i=t[2],a=t[3],o=e[0],s=e[1],l=e[2],c=e[3];return[r*o-n*s-i*l-a*c,r*s+n*o+i*c-a*l,r*l-n*c+i*o+a*s,r*c+n*l-i*s+a*o]}function y(t,e){if(t&&e){var r=function(t,e){return[t[1]*e[2]-t[2]*e[1],t[2]*e[0]-t[0]*e[2],t[0]*e[1]-t[1]*e[0]]}(t,e),n=Math.sqrt(k(r,r)),i=.5*Math.acos(Math.max(-1,Math.min(1,k(t,e)))),a=Math.sin(i)/n;return n&&[Math.cos(i),r[2]*a,-r[1]*a,r[0]*a]}}function x(t,e,r){var n=w(e,2,t[0]);n=w(n,1,t[1]),n=w(n,0,t[2]-r[2]);var i,a,o=e[0],l=e[1],c=e[2],u=n[0],f=n[1],h=n[2],p=Math.atan2(l,o)*s,d=Math.sqrt(o*o+l*l);Math.abs(f)>d?(a=(f>0?90:-90)-p,i=0):(a=Math.asin(f/d)*s-p,i=Math.sqrt(d*d-f*f));var m=180-a-2*p,g=(Math.atan2(h,u)-Math.atan2(c,i))*s,v=(Math.atan2(h,u)-Math.atan2(c,-i))*s;return b(r[0],r[1],a,g)<=b(r[0],r[1],m,v)?[a,g,r[2]]:[m,v,r[2]]}function b(t,e,r,n){var i=_(r-t),a=_(n-e);return Math.sqrt(i*i+a*a)}function _(t){return(t%360+540)%360-180}function w(t,e,r){var n=r*o,i=t.slice(),a=0===e?1:0,s=2===e?1:2,l=Math.cos(n),c=Math.sin(n);return i[a]=t[a]*l-t[s]*c,i[s]=t[s]*l+t[a]*c,i}function T(t){return[Math.atan2(2*(t[0]*t[1]+t[2]*t[3]),1-2*(t[1]*t[1]+t[2]*t[2]))*s,Math.asin(Math.max(-1,Math.min(1,2*(t[0]*t[2]-t[3]*t[1]))))*s,Math.atan2(2*(t[0]*t[3]+t[1]*t[2]),1-2*(t[2]*t[2]+t[3]*t[3]))*s]}function k(t,e){for(var r=0,n=0,i=t.length;n<i;++n)r+=t[n]*e[n];return r}e.exports=function(t,e){var r=t.projection;return(e._isScoped?h:e._isClipped?d:p)(t,r)}},{"../../lib":498,"../../registry":633,"@plotly/d3":58}],588:[function(t,e,r){"use strict";var n=t("../registry"),i=t("./cartesian/constants").SUBPLOT_PATTERN;r.getSubplotCalcData=function(t,e,r){var i=n.subplotsRegistry[e];if(!i)return[];for(var a=i.attr,o=[],s=0;s<t.length;s++){var l=t[s];l[0].trace[a]===r&&o.push(l)}return o},r.getModuleCalcData=function(t,e){var r,i=[],a=[];if(!(r="string"==typeof e?n.getModule(e).plot:"function"==typeof e?e:e.plot))return[i,t];for(var o=0;o<t.length;o++){var s=t[o],l=s[0].trace;!0===l.visible&&0!==l._length&&(l._module.plot===r?i.push(s):a.push(s))}return[i,a]},r.getSubplotData=function(t,e,r){if(!n.subplotsRegistry[e])return[];var a,o,s,l=n.subplotsRegistry[e].attr,c=[];if("gl2d"===e){var u=r.match(i);o="x"+u[1],s="y"+u[2]}for(var f=0;f<t.length;f++)a=t[f],"gl2d"===e&&n.traceIs(a,"gl2d")?a[l[0]]===o&&a[l[1]]===s&&c.push(a):a[l]===r&&c.push(a);return c}},{"../registry":633,"./cartesian/constants":556}],589:[function(t,e,r){"use strict";var n=t("mouse-change"),i=t("mouse-wheel"),a=t("mouse-event-offset"),o=t("../cartesian/constants"),s=t("has-passive-events");function l(t,e){this.element=t,this.plot=e,this.mouseListener=null,this.wheelListener=null,this.lastInputTime=Date.now(),this.lastPos=[0,0],this.boxEnabled=!1,this.boxInited=!1,this.boxStart=[0,0],this.boxEnd=[0,0],this.dragStart=[0,0]}e.exports=function(t){var e=t.mouseContainer,r=t.glplot,c=new l(e,r);function u(){t.xaxis.autorange=!1,t.yaxis.autorange=!1}function f(e,n,i){var a,s,l=t.calcDataBox(),f=r.viewBox,h=c.lastPos[0],p=c.lastPos[1],d=o.MINDRAG*r.pixelRatio,m=o.MINZOOM*r.pixelRatio;function g(e,r,n){var i=Math.min(r,n),a=Math.max(r,n);i!==a?(l[e]=i,l[e+2]=a,c.dataBox=l,t.setRanges(l)):(t.selectBox.selectBox=[0,0,1,1],t.glplot.setDirty())}switch(n*=r.pixelRatio,i*=r.pixelRatio,i=f[3]-f[1]-i,t.fullLayout.dragmode){case"zoom":if(e){var v=n/(f[2]-f[0])*(l[2]-l[0])+l[0],y=i/(f[3]-f[1])*(l[3]-l[1])+l[1];c.boxInited||(c.boxStart[0]=v,c.boxStart[1]=y,c.dragStart[0]=n,c.dragStart[1]=i),c.boxEnd[0]=v,c.boxEnd[1]=y,c.boxInited=!0,c.boxEnabled||c.boxStart[0]===c.boxEnd[0]&&c.boxStart[1]===c.boxEnd[1]||(c.boxEnabled=!0);var x=Math.abs(c.dragStart[0]-n)<m,b=Math.abs(c.dragStart[1]-i)<m;if(!function(){for(var e=t.graphDiv._fullLayout._axisConstraintGroups,r=t.xaxis._id,n=t.yaxis._id,i=0;i<e.length;i++)if(-1!==e[i][r]){if(-1!==e[i][n])return!0;break}return!1}()||x&&b)x&&(c.boxEnd[0]=c.boxStart[0]),b&&(c.boxEnd[1]=c.boxStart[1]);else{a=c.boxEnd[0]-c.boxStart[0],s=c.boxEnd[1]-c.boxStart[1];var _=(l[3]-l[1])/(l[2]-l[0]);Math.abs(a*_)>Math.abs(s)?(c.boxEnd[1]=c.boxStart[1]+Math.abs(a)*_*(s>=0?1:-1),c.boxEnd[1]<l[1]?(c.boxEnd[1]=l[1],c.boxEnd[0]=c.boxStart[0]+(l[1]-c.boxStart[1])/Math.abs(_)):c.boxEnd[1]>l[3]&&(c.boxEnd[1]=l[3],c.boxEnd[0]=c.boxStart[0]+(l[3]-c.boxStart[1])/Math.abs(_))):(c.boxEnd[0]=c.boxStart[0]+Math.abs(s)/_*(a>=0?1:-1),c.boxEnd[0]<l[0]?(c.boxEnd[0]=l[0],c.boxEnd[1]=c.boxStart[1]+(l[0]-c.boxStart[0])*Math.abs(_)):c.boxEnd[0]>l[2]&&(c.boxEnd[0]=l[2],c.boxEnd[1]=c.boxStart[1]+(l[2]-c.boxStart[0])*Math.abs(_)))}}else c.boxEnabled?(a=c.boxStart[0]!==c.boxEnd[0],s=c.boxStart[1]!==c.boxEnd[1],a||s?(a&&(g(0,c.boxStart[0],c.boxEnd[0]),t.xaxis.autorange=!1),s&&(g(1,c.boxStart[1],c.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),c.boxEnabled=!1,c.boxInited=!1):c.boxInited&&(c.boxInited=!1);break;case"pan":c.boxEnabled=!1,c.boxInited=!1,e?(c.panning||(c.dragStart[0]=n,c.dragStart[1]=i),Math.abs(c.dragStart[0]-n)<d&&(n=c.dragStart[0]),Math.abs(c.dragStart[1]-i)<d&&(i=c.dragStart[1]),a=(h-n)*(l[2]-l[0])/(r.viewBox[2]-r.viewBox[0]),s=(p-i)*(l[3]-l[1])/(r.viewBox[3]-r.viewBox[1]),l[0]+=a,l[2]+=a,l[1]+=s,l[3]+=s,t.setRanges(l),c.panning=!0,c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations()):c.panning&&(c.panning=!1,t.relayoutCallback())}c.lastPos[0]=n,c.lastPos[1]=i}return c.mouseListener=n(e,f),e.addEventListener("touchstart",(function(t){var r=a(t.changedTouches[0],e);f(0,r[0],r[1]),f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener("touchmove",(function(t){t.preventDefault();var r=a(t.changedTouches[0],e);f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener("touchend",(function(t){f(0,c.lastPos[0],c.lastPos[1]),t.preventDefault()}),!!s&&{passive:!1}),c.wheelListener=i(e,(function(e,n){if(!t.scrollZoom)return!1;var i=t.calcDataBox(),a=r.viewBox,o=c.lastPos[0],s=c.lastPos[1],l=Math.exp(5*n/(a[3]-a[1])),f=o/(a[2]-a[0])*(i[2]-i[0])+i[0],h=s/(a[3]-a[1])*(i[3]-i[1])+i[1];return i[0]=(i[0]-f)*l+f,i[2]=(i[2]-f)*l+f,i[1]=(i[1]-h)*l+h,i[3]=(i[3]-h)*l+h,t.setRanges(i),c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0}),!0),c}},{"../cartesian/constants":556,"has-passive-events":224,"mouse-change":236,"mouse-event-offset":237,"mouse-wheel":239}],590:[function(t,e,r){"use strict";var n=t("../cartesian/axes"),i=t("../../lib/str2rgbarray");function a(t){this.scene=t,this.gl=t.gl,this.pixelRatio=t.pixelRatio,this.screenBox=[0,0,1,1],this.viewBox=[0,0,1,1],this.dataBox=[-1,-1,1,1],this.borderLineEnable=[!1,!1,!1,!1],this.borderLineWidth=[1,1,1,1],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.ticks=[[],[]],this.tickEnable=[!0,!0,!1,!1],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labels=["x","y"],this.labelEnable=[!0,!0,!1,!1],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelPad=[15,15,15,15],this.labelSize=[12,12],this.labelFont=["sans-serif","sans-serif"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.title="",this.titleEnable=!0,this.titleCenter=[0,0,0,0],this.titleAngle=0,this.titleColor=[0,0,0,1],this.titleFont="sans-serif",this.titleSize=18,this.gridLineEnable=[!0,!0],this.gridLineColor=[[0,0,0,.5],[0,0,0,.5]],this.gridLineWidth=[1,1],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[1,1],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.static=this.scene.staticPlot}var o=a.prototype,s=["xaxis","yaxis"];o.merge=function(t){var e,r,n,a,o,l,c,u,f,h,p;for(this.titleEnable=!1,this.backgroundColor=i(t.plot_bgcolor),h=0;h<2;++h){var d=(e=s[h]).charAt(0);for(n=(r=t[this.scene[e]._name]).title.text===this.scene.fullLayout._dfltTitle[d]?"":r.title.text,p=0;p<=2;p+=2)this.labelEnable[h+p]=!1,this.labels[h+p]=n,this.labelColor[h+p]=i(r.title.font.color),this.labelFont[h+p]=r.title.font.family,this.labelSize[h+p]=r.title.font.size,this.labelPad[h+p]=this.getLabelPad(e,r),this.tickEnable[h+p]=!1,this.tickColor[h+p]=i((r.tickfont||{}).color),this.tickAngle[h+p]="auto"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[h+p]=this.getTickPad(r),this.tickMarkLength[h+p]=0,this.tickMarkWidth[h+p]=r.tickwidth||0,this.tickMarkColor[h+p]=i(r.tickcolor),this.borderLineEnable[h+p]=!1,this.borderLineColor[h+p]=i(r.linecolor),this.borderLineWidth[h+p]=r.linewidth||0;c=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!c,l=this.hasAxisInAltrPos(e,r)&&!c,a=r.mirror||!1,u=c?-1!==String(a).indexOf("all"):!!a,f=c?"allticks"===a:-1!==String(a).indexOf("ticks"),o?this.labelEnable[h]=!0:l&&(this.labelEnable[h+2]=!0),o?this.tickEnable[h]=r.showticklabels:l&&(this.tickEnable[h+2]=r.showticklabels),(o||u)&&(this.borderLineEnable[h]=r.showline),(l||u)&&(this.borderLineEnable[h+2]=r.showline),(o||f)&&(this.tickMarkLength[h]=this.getTickMarkLength(r)),(l||f)&&(this.tickMarkLength[h+2]=this.getTickMarkLength(r)),this.gridLineEnable[h]=r.showgrid,this.gridLineColor[h]=i(r.gridcolor),this.gridLineWidth[h]=r.gridwidth,this.zeroLineEnable[h]=r.zeroline,this.zeroLineColor[h]=i(r.zerolinecolor),this.zeroLineWidth[h]=r.zerolinewidth}},o.hasSharedAxis=function(t){var e=this.scene,r=e.fullLayout._subplots.gl2d;return 0!==n.findSubplotsWithAxis(r,t).indexOf(e.id)},o.hasAxisInDfltPos=function(t,e){var r=e.side;return"xaxis"===t?"bottom"===r:"yaxis"===t?"left"===r:void 0},o.hasAxisInAltrPos=function(t,e){var r=e.side;return"xaxis"===t?"top"===r:"yaxis"===t?"right"===r:void 0},o.getLabelPad=function(t,e){var r=e.title.font.size,n=e.showticklabels;return"xaxis"===t?"top"===e.side?r*(1.5+(n?1:0))-10:r*(1.5+(n?.5:0))-10:"yaxis"===t?"right"===e.side?10+r*(1.5+(n?1:.5)):10+r*(1.5+(n?.5:0)):void 0},o.getTickPad=function(t){return"outside"===t.ticks?10+t.ticklen:15},o.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return"inside"===t.ticks?-e:e},e.exports=function(t){return new a(t)}},{"../../lib/str2rgbarray":523,"../cartesian/axes":549}],591:[function(t,e,r){"use strict";var n=t("../../plot_api/edit_types").overrideAll,i=t("./scene2d"),a=t("../layout_attributes"),o=t("../../constants/xmlns_namespaces"),s=t("../cartesian/constants"),l=t("../cartesian"),c=t("../../components/fx/layout_attributes"),u=t("../get_data").getSubplotData;r.name="gl2d",r.attr=["xaxis","yaxis"],r.idRoot=["x","y"],r.idRegex=s.idRegex,r.attrRegex=s.attrRegex,r.attributes=t("../cartesian/attributes"),r.supplyLayoutDefaults=function(t,e,r){e._has("cartesian")||l.supplyLayoutDefaults(t,e,r)},r.layoutAttrOverrides=n(l.layoutAttributes,"plot","from-root"),r.baseLayoutAttrOverrides=n({plot_bgcolor:a.plot_bgcolor,hoverlabel:c.hoverlabel},"plot","nested"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,a=0;a<n.length;a++){var o=n[a],s=e._plots[o],l=u(r,"gl2d",o),c=s._scene2d;void 0===c&&(c=new i({id:o,graphDiv:t,container:t.querySelector(".gl-container"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=c),c.plot(l,t.calcdata,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=n._subplots.gl2d||[],a=0;a<i.length;a++){var o=i[a],s=n._plots[o];if(s._scene2d){var c=u(t,"gl2d",o);0===c.length&&(s._scene2d.destroy(),delete n._plots[o])}}l.clean.apply(this,arguments)},r.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var i=e._plots[r[n]]._scene2d,a=i.toImage("png");e._glimages.append("svg:image").attr({xmlns:o.svg,"xlink:href":a,x:0,y:0,width:"100%",height:"100%",preserveAspectRatio:"none"}),i.destroy()}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){e._plots[r[n]]._scene2d.updateFx(e.dragmode)}}},{"../../components/fx/layout_attributes":402,"../../constants/xmlns_namespaces":475,"../../plot_api/edit_types":531,"../cartesian":563,"../cartesian/attributes":547,"../cartesian/constants":556,"../get_data":588,"../layout_attributes":605,"./scene2d":592}],592:[function(t,e,r){"use strict";var n,i,a=t("../../registry"),o=t("../../plots/cartesian/axes"),s=t("../../components/fx"),l=t("../../../stackgl_modules").gl_plot2d,c=t("../../../stackgl_modules").gl_spikes2d,u=t("../../../stackgl_modules").gl_select_box,f=t("webgl-context"),h=t("./convert"),p=t("./camera"),d=t("../../lib/show_no_webgl_msg"),m=t("../cartesian/constraints"),g=m.enforce,v=m.clean,y=t("../cartesian/autorange").doAutoRange,x=t("../../components/dragelement/helpers"),b=x.drawMode,_=x.selectMode,w=["xaxis","yaxis"],T=t("../cartesian/constants").SUBPLOT_PATTERN;function k(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context._scrollZoom.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=h(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=c(this.glplot),this.selectBox=u(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}e.exports=k;var A=k.prototype;A.makeFramework=function(){if(this.staticPlot){if(!(i||(n=document.createElement("canvas"),i=f({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error("Error creating static canvas/context for image server");this.canvas=n,this.gl=i}else{var t=this.container.querySelector(".gl-canvas-focus"),e=f({canvas:t,preserveDrawingBuffer:!0,premultipliedAlpha:!0});if(!e)return d(this),void(this.stopped=!0);this.canvas=t,this.gl=e}var r=this.canvas;r.style.width="100%",r.style.height="100%",r.style.position="absolute",r.style.top="0px",r.style.left="0px",r.style["pointer-events"]="none",this.updateSize(r);var a=this.svgContainer=document.createElementNS("http://www.w3.org/2000/svg","svg");a.style.position="absolute",a.style.top=a.style.left="0px",a.style.width=a.style.height="100%",a.style["z-index"]=20,a.style["pointer-events"]="none";var o=this.mouseContainer=document.createElement("div");o.style.position="absolute",o.style["pointer-events"]="auto",this.pickCanvas=this.container.querySelector(".gl-canvas-pick");var s=this.container;s.appendChild(a),s.appendChild(o);var l=this;o.addEventListener("mouseout",(function(){l.isMouseOver=!1,l.unhover()})),o.addEventListener("mouseover",(function(){l.isMouseOver=!0}))},A.toImage=function(t){t||(t="png"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a);for(var o=0,s=i-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var c=0;c<4;++c){var u=a[4*(r*o+l)+c];a[4*(r*o+l)+c]=a[4*(r*s+l)+c],a[4*(r*s+l)+c]=u}var f=document.createElement("canvas");f.width=r,f.height=i;var h,p=f.getContext("2d"),d=p.createImageData(r,i);switch(d.data.set(a),p.putImageData(d,0,0),t){case"jpeg":h=f.toDataURL("image/jpeg");break;case"webp":h=f.toDataURL("image/webp");break;default:h=f.toDataURL("image/png")}return this.staticPlot&&this.container.removeChild(n),h},A.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,i=r.height,a=0|Math.ceil(e*n),o=0|Math.ceil(e*i);return t.width===a&&t.height===o||(t.width=a,t.height=o),t},A.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+"";return t},A.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(T),r="xaxis"+e[1],n="yaxis"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},A.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,i={},o=i[e._name+".range"]=e.range.slice(),s=i[r._name+".range"]=r.range.slice();i[e._name+".autorange"]=e.autorange,i[r._name+".autorange"]=r.autorange,a.call("_storeDirectGUIEdit",t.layout,t._fullLayout._preGUI,i);var l=n[e._name];l.range=o,l.autorange=e.autorange;var c=n[r._name];c.range=s,c.autorange=r.autorange,i.lastInputTime=this.camera.lastInputTime,t.emit("plotly_relayout",i)},A.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;a<n.length;++a)if(n[a].x!==i[a].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},A.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&a.getComponentMethod("annotations","drawOne")(t,r)}},A.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map((function(e){t[e].dispose(),delete t[e]})),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener("wheel",this.camera.wheelListener),this.camera=null}},A.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var i=r.width,a=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,i,a];var s={_fullLayout:{_axisConstraintGroups:r._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis,_size:r._size}};v(s,this.xaxis),v(s,this.yaxis);var l,c,u=r._size,f=this.xaxis.domain,h=this.yaxis.domain;for(o.viewBox=[u.l+f[0]*u.w,u.b+h[0]*u.h,i-u.r-(1-f[1])*u.w,a-u.t-(1-h[1])*u.h],this.mouseContainer.style.width=u.w*(f[1]-f[0])+"px",this.mouseContainer.style.height=u.h*(h[1]-h[0])+"px",this.mouseContainer.height=u.h*(h[1]-h[0]),this.mouseContainer.style.left=u.l+f[0]*u.w+"px",this.mouseContainer.style.top=u.t+(1-h[1])*u.h+"px",c=0;c<2;++c)(l=this[w[c]])._length=o.viewBox[c+2]-o.viewBox[c],y(this.graphDiv,l),l.setScale();g(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},A.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,i=t.r2l,a=e.r2l;return[i(r[0]),a(n[0]),i(r[1]),a(n[1])]},A.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,i=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[i(t[1]),i(t[3])]},A.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if((i=t[n]).uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){i=t[r];var l=e[r],c=this.traces[i.uid];c?c.update(i,l):(c=i._module.plot(this,i,l),this.traces[i.uid]=c)}this.glplot.objects.sort((function(t,e){return t._trace.index-e._trace.index}))},A.updateFx=function(t){_(t)||b(t)?(this.pickCanvas.style["pointer-events"]="none",this.mouseContainer.style["pointer-events"]="none"):(this.pickCanvas.style["pointer-events"]="auto",this.mouseContainer.style["pointer-events"]="auto"),this.mouseContainer.style.cursor="pan"===t?"move":"zoom"===t?"crosshair":null},A.emitPointAction=function(t,e){for(var r,n=t.trace.uid,i=t.pointIndex,a=0;a<this.fullData.length;a++)this.fullData[a].uid===n&&(r=this.fullData[a]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:i,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,i),this.graphDiv.emit(e,{points:[o]})},A.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,i=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var a,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&"zoom"===i.dragmode){this.selectBox.enabled=!0;for(var c=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],u=0;u<2;u++)e.boxStart[u]===e.boxEnd[u]&&(c[u]=t.dataBox[u],c[u+2]=t.dataBox[u+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var f=i._size,h=this.xaxis.domain,p=this.yaxis.domain,d=(a=t.pick(o/t.pixelRatio+f.l+h[0]*f.w,l/t.pixelRatio-(f.t+(1-p[1])*f.h)))&&a.object._trace.handlePick(a);if(d&&n&&this.emitPointAction(d,"plotly_click"),a&&"skip"!==a.object._trace.hoverinfo&&i.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var m=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),m.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,"plotly_hover");var g=this.fullData[m.trace.index]||{},v=m.pointIndex,y=s.castHoverinfo(g,i,v);if(y&&"all"!==y){var x=y.split("+");-1===x.indexOf("x")&&(m.traceCoord[0]=void 0),-1===x.indexOf("y")&&(m.traceCoord[1]=void 0),-1===x.indexOf("z")&&(m.traceCoord[2]=void 0),-1===x.indexOf("text")&&(m.textLabel=void 0),-1===x.indexOf("name")&&(m.name=void 0)}s.loneHover({x:m.screenCoord[0],y:m.screenCoord[1],xLabel:this.hoverFormatter("xaxis",m.traceCoord[0]),yLabel:this.hoverFormatter("yaxis",m.traceCoord[1]),zLabel:m.traceCoord[2],text:m.textLabel,name:m.name,color:s.castHoverOption(g,v,"bgcolor")||m.color,borderColor:s.castHoverOption(g,v,"bordercolor"),fontFamily:s.castHoverOption(g,v,"font.family"),fontSize:s.castHoverOption(g,v,"font.size"),fontColor:s.castHoverOption(g,v,"font.color"),nameLength:s.castHoverOption(g,v,"namelength"),textAlign:s.castHoverOption(g,v,"align")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},A.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit("plotly_unhover"),s.loneUnhover(this.svgContainer))},A.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),"hover").text}}},{"../../../stackgl_modules":1119,"../../components/dragelement/helpers":379,"../../components/fx":401,"../../lib/show_no_webgl_msg":520,"../../plots/cartesian/axes":549,"../../registry":633,"../cartesian/autorange":548,"../cartesian/constants":556,"../cartesian/constraints":557,"./camera":589,"./convert":590,"webgl-context":326}],593:[function(t,e,r){"use strict";var n=t("../../plot_api/edit_types").overrideAll,i=t("../../components/fx/layout_attributes"),a=t("./scene"),o=t("../get_data").getSubplotData,s=t("../../lib"),l=t("../../constants/xmlns_namespaces");r.name="gl3d",r.attr="scene",r.idRoot="scene",r.idRegex=r.attrRegex=s.counterRegex("scene"),r.attributes=t("./layout/attributes"),r.layoutAttributes=t("./layout/layout_attributes"),r.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},"plot","nested"),r.supplyLayoutDefaults=t("./layout/defaults"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl3d,i=0;i<n.length;i++){var s=n[i],l=o(r,"gl3d",s),c=e[s],u=c.camera,f=c._scene;f||(f=new a({id:s,graphDiv:t,container:t.querySelector(".gl-container"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:u},e),c._scene=f),f.viewInitial||(f.viewInitial={up:{x:u.up.x,y:u.up.y,z:u.up.z},eye:{x:u.eye.x,y:u.eye.y,z:u.eye.z},center:{x:u.center.x,y:u.center.y,z:u.center.z}}),f.plot(l,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=n._subplots.gl3d||[],a=0;a<i.length;a++){var o=i[a];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(".annotation-"+o).remove())}},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=e._size,i=0;i<r.length;i++){var a=e[r[i]],o=a.domain,s=a._scene,c=s.toImage("png");e._glimages.append("svg:image").attr({xmlns:l.svg,"xlink:href":c,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:"none"}),s.destroy()}},r.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return"1"===e&&(e=""),"scene"+e}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=0;n<r.length;n++){e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}}},{"../../components/fx/layout_attributes":402,"../../constants/xmlns_namespaces":475,"../../lib":498,"../../plot_api/edit_types":531,"../get_data":588,"./layout/attributes":594,"./layout/defaults":598,"./layout/layout_attributes":599,"./scene":603}],594:[function(t,e,r){"use strict";e.exports={scene:{valType:"subplotid",dflt:"scene",editType:"calc+clearAxisTypes"}}},{}],595:[function(t,e,r){"use strict";var n=t("../../../components/color"),i=t("../../cartesian/layout_attributes"),a=t("../../../lib/extend").extendFlat,o=t("../../../plot_api/edit_types").overrideAll;e.exports=o({visible:i.visible,showspikes:{valType:"boolean",dflt:!0},spikesides:{valType:"boolean",dflt:!0},spikethickness:{valType:"number",min:0,dflt:2},spikecolor:{valType:"color",dflt:n.defaultLine},showbackground:{valType:"boolean",dflt:!1},backgroundcolor:{valType:"color",dflt:"rgba(204, 204, 204, 0.5)"},showaxeslabels:{valType:"boolean",dflt:!0},color:i.color,categoryorder:i.categoryorder,categoryarray:i.categoryarray,title:{text:i.title.text,font:i.title.font},type:a({},i.type,{values:["-","linear","log","date","category"]}),autotypenumbers:i.autotypenumbers,autorange:i.autorange,rangemode:i.rangemode,range:a({},i.range,{items:[{valType:"any",editType:"plot",impliedEdits:{"^autorange":!1}},{valType:"any",editType:"plot",impliedEdits:{"^autorange":!1}}],anim:!1}),tickmode:i.tickmode,nticks:i.nticks,tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,mirror:i.mirror,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,tickfont:i.tickfont,tickangle:i.tickangle,tickprefix:i.tickprefix,showtickprefix:i.showtickprefix,ticksuffix:i.ticksuffix,showticksuffix:i.showticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,minexponent:i.minexponent,separatethousands:i.separatethousands,tickformat:i.tickformat,tickformatstops:i.tickformatstops,hoverformat:i.hoverformat,showline:i.showline,linecolor:i.linecolor,linewidth:i.linewidth,showgrid:i.showgrid,gridcolor:a({},i.gridcolor,{dflt:"rgb(204, 204, 204)"}),gridwidth:i.gridwidth,zeroline:i.zeroline,zerolinecolor:i.zerolinecolor,zerolinewidth:i.zerolinewidth,_deprecated:{title:i._deprecated.title,titlefont:i._deprecated.titlefont}},"plot","from-root")},{"../../../components/color":361,"../../../lib/extend":488,"../../../plot_api/edit_types":531,"../../cartesian/layout_attributes":564}],596:[function(t,e,r){"use strict";var n=t("tinycolor2").mix,i=t("../../../lib"),a=t("../../../plot_api/plot_template"),o=t("./axis_attributes"),s=t("../../cartesian/type_defaults"),l=t("../../cartesian/axis_defaults"),c=["xaxis","yaxis","zaxis"];e.exports=function(t,e,r){var u,f;function h(t,e){return i.coerce(u,f,o,t,e)}for(var p=0;p<c.length;p++){var d=c[p];u=t[d]||{},(f=a.newContainer(e,d))._id=d[0]+r.scene,f._name=d,s(u,f,h,r),l(u,f,h,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelstep:!0,noTicklabelposition:!0,noTicklabeloverflow:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),h("gridcolor",n(f.color,r.bgColor,13600/187).toRgbString()),h("title.text",d[0]),f.setScale=i.noop,h("showspikes")&&(h("spikesides"),h("spikethickness"),h("spikecolor",f.color)),h("showaxeslabels"),h("showbackground")&&h("backgroundcolor")}}},{"../../../lib":498,"../../../plot_api/plot_template":538,"../../cartesian/axis_defaults":551,"../../cartesian/type_defaults":577,"./axis_attributes":595,tinycolor2:307}],597:[function(t,e,r){"use strict";var n=t("../../../lib/str2rgbarray"),i=t("../../../lib"),a=["xaxis","yaxis","zaxis"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=["sans-serif","sans-serif","sans-serif"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=["x","y","z"],this.labelEnable=[!0,!0,!0],this.labelFont=["Open Sans","Open Sans","Open Sans"],this.labelSize=[20,20,20],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var r=0;r<3;++r){var o=e[a[r]];o.visible?(this.labels[r]=t._meta?i.templateString(o.title.text,t._meta):o.title.text,"font"in o.title&&(o.title.font.color&&(this.labelColor[r]=n(o.title.font.color)),o.title.font.family&&(this.labelFont[r]=o.title.font.family),o.title.font.size&&(this.labelSize[r]=o.title.font.size)),"showline"in o&&(this.lineEnable[r]=o.showline),"linecolor"in o&&(this.lineColor[r]=n(o.linecolor)),"linewidth"in o&&(this.lineWidth[r]=o.linewidth),"showgrid"in o&&(this.gridEnable[r]=o.showgrid),"gridcolor"in o&&(this.gridColor[r]=n(o.gridcolor)),"gridwidth"in o&&(this.gridWidth[r]=o.gridwidth),"log"===o.type?this.zeroEnable[r]=!1:"zeroline"in o&&(this.zeroEnable[r]=o.zeroline),"zerolinecolor"in o&&(this.zeroLineColor[r]=n(o.zerolinecolor)),"zerolinewidth"in o&&(this.zeroLineWidth[r]=o.zerolinewidth),"ticks"in o&&o.ticks?this.lineTickEnable[r]=!0:this.lineTickEnable[r]=!1,"ticklen"in o&&(this.lineTickLength[r]=this._defaultLineTickLength[r]=o.ticklen),"tickcolor"in o&&(this.lineTickColor[r]=n(o.tickcolor)),"tickwidth"in o&&(this.lineTickWidth[r]=o.tickwidth),"tickangle"in o&&(this.tickAngle[r]="auto"===o.tickangle?-3600:Math.PI*-o.tickangle/180),"showticklabels"in o&&(this.tickEnable[r]=o.showticklabels),"tickfont"in o&&(o.tickfont.color&&(this.tickColor[r]=n(o.tickfont.color)),o.tickfont.family&&(this.tickFont[r]=o.tickfont.family),o.tickfont.size&&(this.tickSize[r]=o.tickfont.size)),"mirror"in o?-1!==["ticks","all","allticks"].indexOf(o.mirror)?(this.lineTickMirror[r]=!0,this.lineMirror[r]=!0):!0===o.mirror?(this.lineTickMirror[r]=!1,this.lineMirror[r]=!0):(this.lineTickMirror[r]=!1,this.lineMirror[r]=!1):this.lineMirror[r]=!1,"showbackground"in o&&!1!==o.showbackground?(this.backgroundEnable[r]=!0,this.backgroundColor[r]=n(o.backgroundcolor)):this.backgroundEnable[r]=!1):(this.tickEnable[r]=!1,this.labelEnable[r]=!1,this.lineEnable[r]=!1,this.lineTickEnable[r]=!1,this.gridEnable[r]=!1,this.zeroEnable[r]=!1,this.backgroundEnable[r]=!1)}},e.exports=function(t,e){var r=new o;return r.merge(t,e),r}},{"../../../lib":498,"../../../lib/str2rgbarray":523}],598:[function(t,e,r){"use strict";var n=t("../../../lib"),i=t("../../../components/color"),a=t("../../../registry"),o=t("../../subplot_defaults"),s=t("./axis_defaults"),l=t("./layout_attributes"),c=t("../../get_data").getSubplotData;function u(t,e,r,n){for(var o=r("bgcolor"),l=i.combine(o,n.paper_bgcolor),u=["up","center","eye"],f=0;f<u.length;f++)r("camera."+u[f]+".x"),r("camera."+u[f]+".y"),r("camera."+u[f]+".z");r("camera.projection.type");var h=!!r("aspectratio.x")&&!!r("aspectratio.y")&&!!r("aspectratio.z"),p=r("aspectmode",h?"manual":"auto");h||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},"manual"===p&&(e.aspectmode="auto"),t.aspectmode=e.aspectmode);var d=c(n.fullData,"gl3d",n.id);s(t,e,{font:n.font,scene:n.id,data:d,bgColor:l,calendar:n.calendar,autotypenumbersDflt:n.autotypenumbersDflt,fullLayout:n.fullLayout}),a.getComponentMethod("annotations3d","handleDefaults")(t,e,n);var m=n.getDfltFromLayout("dragmode");if(!1!==m&&!m)if(m="orbit",t.camera&&t.camera.up){var g=t.camera.up.x,v=t.camera.up.y,y=t.camera.up.z;0!==y&&(g&&v&&y?y/Math.sqrt(g*g+v*v+y*y)>.999&&(m="turntable"):m="turntable")}else m="turntable";r("dragmode",m),r("hovermode",n.getDfltFromLayout("hovermode"))}e.exports=function(t,e,r){var i=e._basePlotModules.length>1;o(t,e,r,{type:"gl3d",attributes:l,handleDefaults:u,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!i)return n.validate(t[e],l[e])?t[e]:void 0},autotypenumbersDflt:e.autotypenumbers,paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},{"../../../components/color":361,"../../../lib":498,"../../../registry":633,"../../get_data":588,"../../subplot_defaults":627,"./axis_defaults":596,"./layout_attributes":599}],599:[function(t,e,r){"use strict";var n=t("./axis_attributes"),i=t("../../domain").attributes,a=t("../../../lib/extend").extendFlat,o=t("../../../lib").counterRegex;function s(t,e,r){return{x:{valType:"number",dflt:t,editType:"camera"},y:{valType:"number",dflt:e,editType:"camera"},z:{valType:"number",dflt:r,editType:"camera"},editType:"camera"}}e.exports={_arrayAttrRegexps:[o("scene",".annotations",!0)],bgcolor:{valType:"color",dflt:"rgba(0,0,0,0)",editType:"plot"},camera:{up:a(s(0,0,1),{}),center:a(s(0,0,0),{}),eye:a(s(1.25,1.25,1.25),{}),projection:{type:{valType:"enumerated",values:["perspective","orthographic"],dflt:"perspective",editType:"calc"},editType:"calc"},editType:"camera"},domain:i({name:"scene",editType:"plot"}),aspectmode:{valType:"enumerated",values:["auto","cube","data","manual"],dflt:"auto",editType:"plot",impliedEdits:{"aspectratio.x":void 0,"aspectratio.y":void 0,"aspectratio.z":void 0}},aspectratio:{x:{valType:"number",min:0,editType:"plot",impliedEdits:{"^aspectmode":"manual"}},y:{valType:"number",min:0,editType:"plot",impliedEdits:{"^aspectmode":"manual"}},z:{valType:"number",min:0,editType:"plot",impliedEdits:{"^aspectmode":"manual"}},editType:"plot",impliedEdits:{aspectmode:"manual"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:"enumerated",values:["orbit","turntable","zoom","pan",!1],editType:"plot"},hovermode:{valType:"enumerated",values:["closest",!1],dflt:"closest",editType:"modebar"},uirevision:{valType:"any",editType:"none"},editType:"plot",_deprecated:{cameraposition:{valType:"info_array",editType:"camera"}}}},{"../../../lib":498,"../../../lib/extend":488,"../../domain":579,"./axis_attributes":595}],600:[function(t,e,r){"use strict";var n=t("../../../lib/str2rgbarray"),i=["xaxis","yaxis","zaxis"];function a(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}a.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},e.exports=function(t){var e=new a;return e.merge(t),e}},{"../../../lib/str2rgbarray":523}],601:[function(t,e,r){"use strict";e.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],c=0;c<3;++c){var u=s[a[c]];if(u._length=(r[c].hi-r[c].lo)*r[c].pixelsPerDataUnit/t.dataScale[c],Math.abs(u._length)===1/0||isNaN(u._length))l[c]=[];else{u._input_range=u.range.slice(),u.range[0]=r[c].lo/t.dataScale[c],u.range[1]=r[c].hi/t.dataScale[c],u._m=1/(t.dataScale[c]*r[c].pixelsPerDataUnit),u.range[0]===u.range[1]&&(u.range[0]-=1,u.range[1]+=1);var f=u.tickmode;if("auto"===u.tickmode){u.tickmode="linear";var h=u.nticks||i.constrain(u._length/40,4,9);n.autoTicks(u,Math.abs(u.range[1]-u.range[0])/h)}for(var p=n.calcTicks(u,{msUTC:!0}),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[c],"date"===u.type&&(p[d].text=p[d].text.replace(/\<br\>/g," "));l[c]=p,u.tickmode=f}}e.ticks=l;for(c=0;c<3;++c){o[c]=.5*(t.glplot.bounds[0][c]+t.glplot.bounds[1][c]);for(d=0;d<2;++d)e.bounds[d][c]=t.glplot.bounds[d][c]}t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;e[r]=i}return e}(l)};var n=t("../../cartesian/axes"),i=t("../../../lib"),a=["xaxis","yaxis","zaxis"],o=[0,0,0]},{"../../../lib":498,"../../cartesian/axes":549}],602:[function(t,e,r){"use strict";function n(t,e){var r,n,i=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)i[n]+=t[4*r+n]*e[r];return i}e.exports=function(t,e){return n(t.projection,n(t.view,n(t.model,[e[0],e[1],e[2],1])))}},{}],603:[function(t,e,r){"use strict";var n,i,a=t("../../../stackgl_modules").gl_plot3d,o=a.createCamera,s=a.createScene,l=t("webgl-context"),c=t("has-passive-events"),u=t("../../registry"),f=t("../../lib"),h=f.preserveDrawingBuffer(),p=t("../../plots/cartesian/axes"),d=t("../../components/fx"),m=t("../../lib/str2rgbarray"),g=t("../../lib/show_no_webgl_msg"),v=t("./project"),y=t("./layout/convert"),x=t("./layout/spikes"),b=t("./layout/tick_marks");function _(t,e){var r=document.createElement("div"),n=t.container;this.graphDiv=t.graphDiv;var i=document.createElementNS("http://www.w3.org/2000/svg","svg");i.style.position="absolute",i.style.top=i.style.left="0px",i.style.width=i.style.height="100%",i.style["z-index"]=20,i.style["pointer-events"]="none",r.appendChild(i),this.svgContainer=i,r.id=t.id,r.style.position="absolute",r.style.top=r.style.left="0px",r.style.width=r.style.height="100%",n.appendChild(r),this.fullLayout=e,this.id=t.id||"scene",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=y(e,e[this.id]),this.spikeOptions=x(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=u.getComponentMethod("annotations3d","convert"),this.drawAnnotations=u.getComponentMethod("annotations3d","draw"),this.initializeGLPlot()}var w=_.prototype;w.prepareOptions=function(){var t={canvas:this.canvas,gl:this.gl,glOptions:{preserveDrawingBuffer:h,premultipliedAlpha:!0,antialias:!0},container:this.container,axes:this.axesOptions,spikes:this.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:this.camera,pixelRatio:this.pixelRatio};if(this.staticMode){if(!(i||(n=document.createElement("canvas"),i=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error("error creating static canvas/context for image server");t.gl=i,t.canvas=n}return t};var T=!0;w.tryCreatePlot=function(){var t=this.prepareOptions(),e=!0;try{this.glplot=s(t)}catch(r){if(this.staticMode||!T||h)e=!1;else{f.warn(["webgl setup failed possibly due to","false preserveDrawingBuffer config.","The mobile/tablet device may not be detected by is-mobile module.","Enabling preserveDrawingBuffer in second attempt to create webgl scene..."].join(" "));try{h=t.glOptions.preserveDrawingBuffer=!0,this.glplot=s(t)}catch(r){h=t.glOptions.preserveDrawingBuffer=!1,e=!1}}}return T=!1,e},w.initializeGLCamera=function(){var t=this.fullSceneLayout.camera,e="orthographic"===t.projection.type;this.camera=o(this.container,{center:[t.center.x,t.center.y,t.center.z],eye:[t.eye.x,t.eye.y,t.eye.z],up:[t.up.x,t.up.y,t.up.z],_ortho:e,zoomMin:.01,zoomMax:100,mode:"orbit"})},w.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return g(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+".camera"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+".aspectratio"]=t.glplot.getAspectratio(),"manual"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+".aspectmode"]="manual")),e},i=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit("plotly_relayout",e)}};return t.glplot.canvas&&(t.glplot.canvas.addEventListener("mouseup",(function(){i(t)})),t.glplot.canvas.addEventListener("wheel",(function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}}),!!c&&{passive:!1}),t.glplot.canvas.addEventListener("mousemove",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit("plotly_relayouting",e)}})),t.staticMode||t.glplot.canvas.addEventListener("webglcontextlost",(function(r){e&&e.emit&&e.emit("plotly_webglcontextlost",{event:r,layer:t.id})}),!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},w.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,i=e.container.getBoundingClientRect();r._fullLayout._calcInverseTransform(r);var a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,"viewBox","0 0 "+s+" "+l),n.setAttributeNS(null,"width",s),n.setAttributeNS(null,"height",l),b(e),e.glplot.axes.update(e.axesOptions);for(var c=Object.keys(e.traces),u=null,h=e.glplot.selection,m=0;m<c.length;++m)"skip"!==(t=e.traces[c[m]]).data.hoverinfo&&t.handlePick(h)&&(u=t),t.setContourLevels&&t.setContourLevels();function g(t,r,n){var i=e.fullSceneLayout[t+"axis"];return"log"!==i.type&&(r=i.d2l(r)),p.hoverLabelText(i,r,n)}if(null!==u){var y=v(e.glplot.cameraParams,h.dataCoordinate);t=u.data;var x,_=r._fullData[t.index],w=h.index,T={xLabel:g("x",h.traceCoordinate[0],t.xhoverformat),yLabel:g("y",h.traceCoordinate[1],t.yhoverformat),zLabel:g("z",h.traceCoordinate[2],t.zhoverformat)},k=d.castHoverinfo(_,e.fullLayout,w),A=(k||"").split("+"),M=k&&"all"===k;_.hovertemplate||M||(-1===A.indexOf("x")&&(T.xLabel=void 0),-1===A.indexOf("y")&&(T.yLabel=void 0),-1===A.indexOf("z")&&(T.zLabel=void 0),-1===A.indexOf("text")&&(h.textLabel=void 0),-1===A.indexOf("name")&&(u.name=void 0));var S=[];"cone"===t.type||"streamtube"===t.type?(T.uLabel=g("x",h.traceCoordinate[3],t.uhoverformat),(M||-1!==A.indexOf("u"))&&S.push("u: "+T.uLabel),T.vLabel=g("y",h.traceCoordinate[4],t.vhoverformat),(M||-1!==A.indexOf("v"))&&S.push("v: "+T.vLabel),T.wLabel=g("z",h.traceCoordinate[5],t.whoverformat),(M||-1!==A.indexOf("w"))&&S.push("w: "+T.wLabel),T.normLabel=h.traceCoordinate[6].toPrecision(3),(M||-1!==A.indexOf("norm"))&&S.push("norm: "+T.normLabel),"streamtube"===t.type&&(T.divergenceLabel=h.traceCoordinate[7].toPrecision(3),(M||-1!==A.indexOf("divergence"))&&S.push("divergence: "+T.divergenceLabel)),h.textLabel&&S.push(h.textLabel),x=S.join("<br>")):"isosurface"===t.type||"volume"===t.type?(T.valueLabel=p.hoverLabelText(e._mockAxis,e._mockAxis.d2l(h.traceCoordinate[3]),t.valuehoverformat),S.push("value: "+T.valueLabel),h.textLabel&&S.push(h.textLabel),x=S.join("<br>")):x=h.textLabel;var E={x:h.traceCoordinate[0],y:h.traceCoordinate[1],z:h.traceCoordinate[2],data:_._input,fullData:_,curveNumber:_.index,pointNumber:w};d.appendArrayPointValue(E,_,w),t._module.eventData&&(E=_._module.eventData(E,h,_,{},w));var L={points:[E]};if(e.fullSceneLayout.hovermode){var C=[];d.loneHover({trace:_,x:(.5+.5*y[0]/y[3])*s,y:(.5-.5*y[1]/y[3])*l,xLabel:T.xLabel,yLabel:T.yLabel,zLabel:T.zLabel,text:x,name:u.name,color:d.castHoverOption(_,w,"bgcolor")||u.color,borderColor:d.castHoverOption(_,w,"bordercolor"),fontFamily:d.castHoverOption(_,w,"font.family"),fontSize:d.castHoverOption(_,w,"font.size"),fontColor:d.castHoverOption(_,w,"font.color"),nameLength:d.castHoverOption(_,w,"namelength"),textAlign:d.castHoverOption(_,w,"align"),hovertemplate:f.castOption(_,w,"hovertemplate"),hovertemplateLabels:f.extendFlat({},E,T),eventData:[E]},{container:n,gd:r,inOut_bbox:C}),E.bbox=C[0]}h.buttons&&h.distance<5?r.emit("plotly_click",L):r.emit("plotly_hover",L),this.oldEventData=L}else d.loneUnhover(n),this.oldEventData&&r.emit("plotly_unhover",this.oldEventData),this.oldEventData=void 0;e.drawAnnotations(e)},w.recoverContext=function(){var t=this;t.glplot.dispose();var e=function(){t.glplot.gl.isContextLost()?requestAnimationFrame(e):t.initializeGLPlot()?t.plot.apply(t,t.plotArgs):f.error("Catastrophic and unrecoverable WebGL error. Context lost.")};requestAnimationFrame(e)};var k=["xaxis","yaxis","zaxis"];function A(t,e,r){for(var n=t.fullSceneLayout,i=0;i<3;i++){var a=k[i],o=a.charAt(0),s=n[a],l=e[o],c=e[o+"calendar"],u=e["_"+o+"length"];if(f.isArrayOrTypedArray(l))for(var h,p=0;p<(u||l.length);p++)if(f.isArrayOrTypedArray(l[p]))for(var d=0;d<l[p].length;++d)h=s.d2l(l[p][d],0,c),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else h=s.d2l(l[p],0,c),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else r[0][i]=Math.min(r[0][i],0),r[1][i]=Math.max(r[1][i],u-1)}}w.plot=function(t,e,r){if(this.plotArgs=[t,e,r],!this.glplot.contextLost){var n,i,a,o,s,l,c=e[this.id],u=r[this.id];this.fullLayout=e,this.fullSceneLayout=c,this.axesOptions.merge(e,c),this.spikeOptions.merge(c),this.setViewport(c),this.updateFx(c.dragmode,c.hovermode),this.camera.enableWheel=this.graphDiv._context._scrollZoom.gl3d,this.glplot.setClearColor(m(c.bgcolor)),this.setConvert(s),t?Array.isArray(t)||(t=[t]):t=[];var f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(a=0;a<t.length;++a)!0===(n=t[a]).visible&&0!==n._length&&A(this,n,f);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],i=0;i<3;i++)for(var a=k[i],o=a.charAt(0),s=r[a],l=0;l<n.length;l++){var c=n[l];if(c.visible){var u=s.r2l(c[o]);!isNaN(u)&&isFinite(u)&&(e[0][i]=Math.min(e[0][i],u),e[1][i]=Math.max(e[1][i],u))}}}(this,f);var h=[1,1,1];for(o=0;o<3;++o)f[1][o]===f[0][o]?h[o]=1:h[o]=1/(f[1][o]-f[0][o]);for(this.dataScale=h,this.convertAnnotations(this),a=0;a<t.length;++a)!0===(n=t[a]).visible&&0!==n._length&&((i=this.traces[n.uid])?i.data.type===n.type?i.update(n):(i.dispose(),i=n._module.plot(this,n),this.traces[n.uid]=i):(i=n._module.plot(this,n),this.traces[n.uid]=i),i.name=n.name);var p=Object.keys(this.traces);t:for(a=0;a<p.length;++a){for(o=0;o<t.length;++o)if(t[o].uid===p[a]&&!0===t[o].visible&&0!==t[o]._length)continue t;(i=this.traces[p[a]]).dispose(),delete this.traces[p[a]]}this.glplot.objects.sort((function(t,e){return t._trace.data.index-e._trace.data.index}));var d,g=[[0,0,0],[0,0,0]],v=[],y={};for(a=0;a<3;++a){if((l=(s=c[k[a]]).type)in y?(y[l].acc*=h[a],y[l].count+=1):y[l]={acc:h[a],count:1},s.autorange){g[0][a]=1/0,g[1][a]=-1/0;var x=this.glplot.objects,b=this.fullSceneLayout.annotations||[],_=s._name.charAt(0);for(o=0;o<x.length;o++){var w=x[o],T=w.bounds,M=w._trace.data._pad||0;"ErrorBars"===w.constructor.name&&s._lowerLogErrorBound?g[0][a]=Math.min(g[0][a],s._lowerLogErrorBound):g[0][a]=Math.min(g[0][a],T[0][a]/h[a]-M),g[1][a]=Math.max(g[1][a],T[1][a]/h[a]+M)}for(o=0;o<b.length;o++){var S=b[o];if(S.visible){var E=s.r2l(S[_]);g[0][a]=Math.min(g[0][a],E),g[1][a]=Math.max(g[1][a],E)}}if("rangemode"in s&&"tozero"===s.rangemode&&(g[0][a]=Math.min(g[0][a],0),g[1][a]=Math.max(g[1][a],0)),g[0][a]>g[1][a])g[0][a]=-1,g[1][a]=1;else{var L=g[1][a]-g[0][a];g[0][a]-=L/32,g[1][a]+=L/32}if("reversed"===s.autorange){var C=g[0][a];g[0][a]=g[1][a],g[1][a]=C}}else{var P=s.range;g[0][a]=s.r2l(P[0]),g[1][a]=s.r2l(P[1])}g[0][a]===g[1][a]&&(g[0][a]-=1,g[1][a]+=1),v[a]=g[1][a]-g[0][a],this.glplot.setBounds(a,{min:g[0][a]*h[a],max:g[1][a]*h[a]})}var I=c.aspectmode;if("cube"===I)d=[1,1,1];else if("manual"===I){var O=c.aspectratio;d=[O.x,O.y,O.z]}else{if("auto"!==I&&"data"!==I)throw new Error("scene.js aspectRatio was not one of the enumerated types");var z=[1,1,1];for(a=0;a<3;++a){var D=y[l=(s=c[k[a]]).type];z[a]=Math.pow(D.acc,1/D.count)/h[a]}d="data"===I||Math.max.apply(null,z)/Math.min.apply(null,z)<=4?z:[1,1,1]}c.aspectratio.x=u.aspectratio.x=d[0],c.aspectratio.y=u.aspectratio.y=d[1],c.aspectratio.z=u.aspectratio.z=d[2],this.glplot.setAspectratio(c.aspectratio),this.viewInitial.aspectratio||(this.viewInitial.aspectratio={x:c.aspectratio.x,y:c.aspectratio.y,z:c.aspectratio.z}),this.viewInitial.aspectmode||(this.viewInitial.aspectmode=c.aspectmode);var R=c.domain||null,F=e._size||null;if(R&&F){var B=this.container.style;B.position="absolute",B.left=F.l+R.x[0]*F.w+"px",B.top=F.t+(1-R.y[1])*F.h+"px",B.width=F.w*(R.x[1]-R.x[0])+"px",B.height=F.h*(R.y[1]-R.y[0])+"px"}this.glplot.redraw()}},w.destroy=function(){this.glplot&&(this.camera.mouseListener.enabled=!1,this.container.removeEventListener("wheel",this.camera.wheelListener),this.camera=null,this.glplot.dispose(),this.container.parentNode.removeChild(this.container),this.glplot=null)},w.getCamera=function(){var t;return this.camera.view.recalcMatrix(this.camera.view.lastT()),{up:{x:(t=this.camera).up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]},projection:{type:!0===t._ortho?"orthographic":"perspective"}}},w.setViewport=function(t){var e,r=t.camera;this.camera.lookAt.apply(this,[[(e=r).eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]),this.glplot.setAspectratio(t.aspectratio),"orthographic"===r.projection.type!==this.camera._ortho&&(this.glplot.redraw(),this.glplot.clearRGBA(),this.glplot.dispose(),this.initializeGLPlot())},w.isCameraChanged=function(t){var e=this.getCamera(),r=f.nestedProperty(t,this.id+".camera").get();function n(t,e,r,n){var i=["up","center","eye"],a=["x","y","z"];return e[i[r]]&&t[i[r]][a[n]]===e[i[r]][a[n]]}var i=!1;if(void 0===r)i=!0;else{for(var a=0;a<3;a++)for(var o=0;o<3;o++)if(!n(e,r,a,o)){i=!0;break}(!r.projection||e.projection&&e.projection.type!==r.projection.type)&&(i=!0)}return i},w.isAspectChanged=function(t){var e=this.glplot.getAspectratio(),r=f.nestedProperty(t,this.id+".aspectratio").get();return void 0===r||r.x!==e.x||r.y!==e.y||r.z!==e.z},w.saveLayout=function(t){var e,r,n,i,a,o,s=this.fullLayout,l=this.isCameraChanged(t),c=this.isAspectChanged(t),h=l||c;if(h){var p={};if(l&&(e=this.getCamera(),n=(r=f.nestedProperty(t,this.id+".camera")).get(),p[this.id+".camera"]=n),c&&(i=this.glplot.getAspectratio(),o=(a=f.nestedProperty(t,this.id+".aspectratio")).get(),p[this.id+".aspectratio"]=o),u.call("_storeDirectGUIEdit",t,s._preGUI,p),l)r.set(e),f.nestedProperty(s,this.id+".camera").set(e);if(c)a.set(i),f.nestedProperty(s,this.id+".aspectratio").set(i),this.glplot.redraw()}return h},w.updateFx=function(t,e){var r=this.camera;if(r)if("orbit"===t)r.mode="orbit",r.keyBindingMode="rotate";else if("turntable"===t){r.up=[0,0,1],r.mode="turntable",r.keyBindingMode="rotate";var n=this.graphDiv,i=n._fullLayout,a=this.fullSceneLayout.camera,o=a.up.x,s=a.up.y,l=a.up.z;if(l/Math.sqrt(o*o+s*s+l*l)<.999){var c=this.id+".camera.up",h={x:0,y:0,z:1},p={};p[c]=h;var d=n.layout;u.call("_storeDirectGUIEdit",d,i._preGUI,p),a.up=h,f.nestedProperty(d,c).set(h)}}else r.keyBindingMode=t;this.fullSceneLayout.hovermode=e},w.toImage=function(t){t||(t="png"),this.staticMode&&this.container.appendChild(n),this.glplot.redraw();var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a),function(t,e,r){for(var n=0,i=r-1;n<i;++n,--i)for(var a=0;a<e;++a)for(var o=0;o<4;++o){var s=4*(e*n+a)+o,l=4*(e*i+a)+o,c=t[s];t[s]=t[l],t[l]=c}}(a,r,i),function(t,e,r){for(var n=0;n<r;++n)for(var i=0;i<e;++i){var a=4*(e*n+i),o=t[a+3];if(o>0)for(var s=255/o,l=0;l<3;++l)t[a+l]=Math.min(s*t[a+l],255)}}(a,r,i);var o=document.createElement("canvas");o.width=r,o.height=i;var s,l=o.getContext("2d"),c=l.createImageData(r,i);switch(c.data.set(a),l.putImageData(c,0,0),t){case"jpeg":s=o.toDataURL("image/jpeg");break;case"webp":s=o.toDataURL("image/webp");break;default:s=o.toDataURL("image/png")}return this.staticMode&&this.container.removeChild(n),s},w.setConvert=function(){for(var t=0;t<3;t++){var e=this.fullSceneLayout[k[t]];p.setConvert(e,this.fullLayout),e.setScale=f.noop}},w.make4thDimension=function(){var t=this.graphDiv._fullLayout;this._mockAxis={type:"linear",showexponent:"all",exponentformat:"B"},p.setConvert(this._mockAxis,t)},e.exports=_},{"../../../stackgl_modules":1119,"../../components/fx":401,"../../lib":498,"../../lib/show_no_webgl_msg":520,"../../lib/str2rgbarray":523,"../../plots/cartesian/axes":549,"../../registry":633,"./layout/convert":597,"./layout/spikes":600,"./layout/tick_marks":601,"./project":602,"has-passive-events":224,"webgl-context":326}],604:[function(t,e,r){"use strict";e.exports=function(t,e,r,n){n=n||t.length;for(var i=new Array(n),a=0;a<n;a++)i[a]=[t[a],e[a],r[a]];return i}},{}],605:[function(t,e,r){"use strict";var n=t("./font_attributes"),i=t("./animation_attributes"),a=t("../components/color/attributes"),o=t("../components/shapes/draw_newshape/attributes"),s=t("./pad_attributes"),l=t("../lib/extend").extendFlat,c=n({editType:"calc"});c.family.dflt='"Open Sans", verdana, arial, sans-serif',c.size.dflt=12,c.color.dflt=a.defaultLine,e.exports={font:c,title:{text:{valType:"string",editType:"layoutstyle"},font:n({editType:"layoutstyle"}),xref:{valType:"enumerated",dflt:"container",values:["container","paper"],editType:"layoutstyle"},yref:{valType:"enumerated",dflt:"container",values:["container","paper"],editType:"layoutstyle"},x:{valType:"number",min:0,max:1,dflt:.5,editType:"layoutstyle"},y:{valType:"number",min:0,max:1,dflt:"auto",editType:"layoutstyle"},xanchor:{valType:"enumerated",dflt:"auto",values:["auto","left","center","right"],editType:"layoutstyle"},yanchor:{valType:"enumerated",dflt:"auto",values:["auto","top","middle","bottom"],editType:"layoutstyle"},pad:l(s({editType:"layoutstyle"}),{}),editType:"layoutstyle"},uniformtext:{mode:{valType:"enumerated",values:[!1,"hide","show"],dflt:!1,editType:"plot"},minsize:{valType:"number",min:0,dflt:0,editType:"plot"},editType:"plot"},autosize:{valType:"boolean",dflt:!1,editType:"none"},width:{valType:"number",min:10,dflt:700,editType:"plot"},height:{valType:"number",min:10,dflt:450,editType:"plot"},margin:{l:{valType:"number",min:0,dflt:80,editType:"plot"},r:{valType:"number",min:0,dflt:80,editType:"plot"},t:{valType:"number",min:0,dflt:100,editType:"plot"},b:{valType:"number",min:0,dflt:80,editType:"plot"},pad:{valType:"number",min:0,dflt:0,editType:"plot"},autoexpand:{valType:"boolean",dflt:!0,editType:"plot"},editType:"plot"},computed:{valType:"any",editType:"none"},paper_bgcolor:{valType:"color",dflt:a.background,editType:"plot"},plot_bgcolor:{valType:"color",dflt:a.background,editType:"layoutstyle"},autotypenumbers:{valType:"enumerated",values:["convert types","strict"],dflt:"convert types",editType:"calc"},separators:{valType:"string",editType:"plot"},hidesources:{valType:"boolean",dflt:!1,editType:"plot"},showlegend:{valType:"boolean",editType:"legend"},colorway:{valType:"colorlist",dflt:a.defaults,editType:"calc"},datarevision:{valType:"any",editType:"calc"},uirevision:{valType:"any",editType:"none"},editrevision:{valType:"any",editType:"none"},selectionrevision:{valType:"any",editType:"none"},template:{valType:"any",editType:"calc"},newshape:o.newshape,activeshape:o.activeshape,meta:{valType:"any",arrayOk:!0,editType:"plot"},transition:l({},i.transition,{editType:"none"}),_deprecated:{title:{valType:"string",editType:"layoutstyle"},titlefont:n({editType:"layoutstyle"})}}},{"../components/color/attributes":360,"../components/shapes/draw_newshape/attributes":446,"../lib/extend":488,"./animation_attributes":543,"./font_attributes":580,"./pad_attributes":613}],606:[function(t,e,r){"use strict";var n=t("../../lib/sort_object_keys"),i='\xa9 <a target="_blank" href="https://www.openstreetmap.org/copyright">OpenStreetMap</a> contributors',a=['\xa9 <a target="_blank" href="https://carto.com/">Carto</a>',i].join(" "),o=['Map tiles by <a target="_blank" href="https://stamen.com">Stamen Design</a>','under <a target="_blank" href="https://creativecommons.org/licenses/by/3.0">CC BY 3.0</a>',"|",'Data by <a target="_blank" href="https://openstreetmap.org">OpenStreetMap</a> contributors','under <a target="_blank" href="https://www.openstreetmap.org/copyright">ODbL</a>'].join(" "),s={"open-street-map":{id:"osm",version:8,sources:{"plotly-osm-tiles":{type:"raster",attribution:i,tiles:["https://a.tile.openstreetmap.org/{z}/{x}/{y}.png","https://b.tile.openstreetmap.org/{z}/{x}/{y}.png"],tileSize:256}},layers:[{id:"plotly-osm-tiles",type:"raster",source:"plotly-osm-tiles",minzoom:0,maxzoom:22}]},"white-bg":{id:"white-bg",version:8,sources:{},layers:[{id:"white-bg",type:"background",paint:{"background-color":"#FFFFFF"},minzoom:0,maxzoom:22}]},"carto-positron":{id:"carto-positron",version:8,sources:{"plotly-carto-positron":{type:"raster",attribution:a,tiles:["https://cartodb-basemaps-c.global.ssl.fastly.net/light_all/{z}/{x}/{y}.png"],tileSize:256}},layers:[{id:"plotly-carto-positron",type:"raster",source:"plotly-carto-positron",minzoom:0,maxzoom:22}]},"carto-darkmatter":{id:"carto-darkmatter",version:8,sources:{"plotly-carto-darkmatter":{type:"raster",attribution:a,tiles:["https://cartodb-basemaps-c.global.ssl.fastly.net/dark_all/{z}/{x}/{y}.png"],tileSize:256}},layers:[{id:"plotly-carto-darkmatter",type:"raster",source:"plotly-carto-darkmatter",minzoom:0,maxzoom:22}]},"stamen-terrain":{id:"stamen-terrain",version:8,sources:{"plotly-stamen-terrain":{type:"raster",attribution:o,tiles:["https://stamen-tiles.a.ssl.fastly.net/terrain/{z}/{x}/{y}.png"],tileSize:256}},layers:[{id:"plotly-stamen-terrain",type:"raster",source:"plotly-stamen-terrain",minzoom:0,maxzoom:22}]},"stamen-toner":{id:"stamen-toner",version:8,sources:{"plotly-stamen-toner":{type:"raster",attribution:o,tiles:["https://stamen-tiles.a.ssl.fastly.net/toner/{z}/{x}/{y}.png"],tileSize:256}},layers:[{id:"plotly-stamen-toner",type:"raster",source:"plotly-stamen-toner",minzoom:0,maxzoom:22}]},"stamen-watercolor":{id:"stamen-watercolor",version:8,sources:{"plotly-stamen-watercolor":{type:"raster",attribution:['Map tiles by <a target="_blank" href="https://stamen.com">Stamen Design</a>','under <a target="_blank" href="https://creativecommons.org/licenses/by/3.0">CC BY 3.0</a>',"|",'Data by <a target="_blank" href="https://openstreetmap.org">OpenStreetMap</a> contributors','under <a target="_blank" href="https://creativecommons.org/licenses/by-sa/3.0">CC BY SA</a>'].join(" "),tiles:["https://stamen-tiles.a.ssl.fastly.net/watercolor/{z}/{x}/{y}.png"],tileSize:256}},layers:[{id:"plotly-stamen-watercolor",type:"raster",source:"plotly-stamen-watercolor",minzoom:0,maxzoom:22}]}},l=n(s);e.exports={requiredVersion:"1.10.1",styleUrlPrefix:"mapbox://styles/mapbox/",styleUrlSuffix:"v9",styleValuesMapbox:["basic","streets","outdoors","light","dark","satellite","satellite-streets"],styleValueDflt:"basic",stylesNonMapbox:s,styleValuesNonMapbox:l,traceLayerPrefix:"plotly-trace-layer-",layoutLayerPrefix:"plotly-layout-layer-",wrongVersionErrorMsg:["Your custom plotly.js bundle is not using the correct mapbox-gl version","Please install mapbox-gl@1.10.1."].join("\n"),noAccessTokenErrorMsg:["Missing Mapbox access token.","Mapbox trace type require a Mapbox access token to be registered.","For example:","  Plotly.newPlot(gd, data, layout, { mapboxAccessToken: 'my-access-token' });","More info here: https://www.mapbox.com/help/define-access-token/"].join("\n"),missingStyleErrorMsg:["No valid mapbox style found, please set `mapbox.style` to one of:",l.join(", "),"or register a Mapbox access token to use a Mapbox-served style."].join("\n"),multipleTokensErrorMsg:["Set multiple mapbox access token across different mapbox subplot,","using first token found as mapbox-gl does not allow multipleaccess tokens on the same page."].join("\n"),mapOnErrorMsg:"Mapbox error.",mapboxLogo:{path0:"m 10.5,1.24 c -5.11,0 -9.25,4.15 -9.25,9.25 0,5.1 4.15,9.25 9.25,9.25 5.1,0 9.25,-4.15 9.25,-9.25 0,-5.11 -4.14,-9.25 -9.25,-9.25 z m 4.39,11.53 c -1.93,1.93 -4.78,2.31 -6.7,2.31 -0.7,0 -1.41,-0.05 -2.1,-0.16 0,0 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t=i.numbersScaler(h);D+=t[2];var e,r=S(m,"numbersScale",1,t[0],D,Math.min);m._scaleNumbers||(r=1),e=m._isAngular?v-r*h.bottom:v-r*(h.top+h.bottom)/2,m._numbersTop=r*h.top+e;var n=h[T];"center"===T&&(n=(h.left+h.right)/2);var a=g-r*n;return a=S(m,"numbersTranslate",0,a,D,Math.max),l(a,e)+s(r)}))}(t,O,e,{numbersX:m,numbersY:E,numbersScaler:L,transitionOpts:r,onComplete:g}),z&&(C={range:I.gauge.axis.range,color:I.gauge.bgcolor,line:{color:I.gauge.bordercolor,width:0},thickness:1},P={range:I.gauge.axis.range,color:"rgba(0, 0, 0, 0)",line:{color:I.gauge.bordercolor,width:I.gauge.borderwidth},thickness:1});var Y=O.selectAll("g.angular").data(D?e:[]);Y.exit().remove();var W=O.selectAll("g.angularaxis").data(D?e:[]);W.exit().remove(),D&&function(t,e,r,a){var o,s,f,h,p=r[0].trace,m=a.size,g=a.radius,v=a.innerRadius,y=a.gaugeBg,x=a.gaugeOutline,b=[m.l+m.w/2,m.t+m.h/2+g/2],_=a.gauge,A=a.layer,M=a.transitionOpts,S=a.onComplete,E=Math.PI/2;function L(t){var e=p.gauge.axis.range[0],r=(t-e)/(p.gauge.axis.range[1]-e)*Math.PI-E;return r<-E?-E:r>E?E:r}function C(t){return n.svg.arc().innerRadius((v+g)/2-t/2*(g-v)).outerRadius((v+g)/2+t/2*(g-v)).startAngle(-E)}function P(t){t.attr("d",(function(t){return C(t.thickness).startAngle(L(t.range[0])).endAngle(L(t.range[1]))()}))}_.enter().append("g").classed("angular",!0),_.attr("transform",l(b[0],b[1])),A.enter().append("g").classed("angularaxis",!0).classed("crisp",!0),A.selectAll("g.xangularaxistick,path,text").remove(),(o=k(t,p.gauge.axis)).type="linear",o.range=p.gauge.axis.range,o._id="xangularaxis",o.ticklabeloverflow="allow",o.setScale();var I=function(t){return(o.range[0]-t.x)/(o.range[1]-o.range[0])*Math.PI+Math.PI},O={},z=d.makeLabelFns(o,0).labelStandoff;O.xFn=function(t){var e=I(t);return Math.cos(e)*z},O.yFn=function(t){var e=I(t),r=Math.sin(e)>0?.2:1;return-Math.sin(e)*(z+t.fontSize*r)+Math.abs(Math.cos(e))*(t.fontSize*u)},O.anchorFn=function(t){var e=I(t),r=Math.cos(e);return 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U=j.select("path");w(M)?(U.transition().duration(M.duration).ease(M.easing).each("end",(function(){S&&S()})).each("interrupt",(function(){S&&S()})).attrTween("d",(V=N,H=L(r[0].lastY),q=L(r[0].y),function(){var t=i(H,q);return function(e){return V.endAngle(t(e))()}})),p._lastValue=r[0].y):U.attr("d","number"==typeof r[0].y?N.endAngle(L(r[0].y)):"M0,0Z");var V,H,q;U.call(T),j.exit().remove(),F=[];var G=p.gauge.threshold.value;(G||0===G)&&F.push({range:[G,G],color:p.gauge.threshold.color,line:{color:p.gauge.threshold.line.color,width:p.gauge.threshold.line.width},thickness:p.gauge.threshold.thickness});var Y=_.selectAll("g.threshold-arc").data(F);Y.enter().append("g").classed("threshold-arc",!0).append("path"),Y.select("path").call(P).call(T),Y.exit().remove();var W=_.selectAll("g.gauge-outline").data([x]);W.enter().append("g").classed("gauge-outline",!0).append("path"),W.select("path").call(P).call(T),W.exit().remove()}(t,0,e,{radius:U,innerRadius:V,gauge:Y,layer:W,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:g});var X=O.selectAll("g.bullet").data(R?e:[]);X.exit().remove();var Z=O.selectAll("g.bulletaxis").data(R?e:[]);Z.exit().remove(),R&&function(t,e,r,n){var i,a,o,s,c,u=r[0].trace,f=n.gauge,p=n.layer,m=n.gaugeBg,g=n.gaugeOutline,v=n.size,x=u.domain,b=n.transitionOpts,_=n.onComplete;f.enter().append("g").classed("bullet",!0),f.attr("transform",l(v.l,v.t)),p.enter().append("g").classed("bulletaxis",!0).classed("crisp",!0),p.selectAll("g.xbulletaxistick,path,text").remove();var A=v.h,M=u.gauge.bar.thickness*A,S=x.x[0],E=x.x[0]+(x.x[1]-x.x[0])*(u._hasNumber||u._hasDelta?1-h.bulletNumberDomainSize:1);(i=k(t,u.gauge.axis))._id="xbulletaxis",i.domain=[S,E],i.setScale(),a=d.calcTicks(i),o=d.makeTransTickFn(i),s=d.getTickSigns(i)[2],c=v.t+v.h,i.visible&&(d.drawTicks(t,i,{vals:"inside"===i.ticks?d.clipEnds(i,a):a,layer:p,path:d.makeTickPath(i,c,s),transFn:o}),d.drawLabels(t,i,{vals:a,layer:p,transFn:o,labelFns:d.makeLabelFns(i,c)}));function L(t){t.attr("width",(function(t){return Math.max(0,i.c2p(t.range[1])-i.c2p(t.range[0]))})).attr("x",(function(t){return i.c2p(t.range[0])})).attr("y",(function(t){return.5*(1-t.thickness)*A})).attr("height",(function(t){return t.thickness*A}))}var C=[m].concat(u.gauge.steps),P=f.selectAll("g.bg-bullet").data(C);P.enter().append("g").classed("bg-bullet",!0).append("rect"),P.select("rect").call(L).call(T),P.exit().remove();var I=f.selectAll("g.value-bullet").data([u.gauge.bar]);I.enter().append("g").classed("value-bullet",!0).append("rect"),I.select("rect").attr("height",M).attr("y",(A-M)/2).call(T),w(b)?I.select("rect").transition().duration(b.duration).ease(b.easing).each("end",(function(){_&&_()})).each("interrupt",(function(){_&&_()})).attr("width",Math.max(0,i.c2p(Math.min(u.gauge.axis.range[1],r[0].y)))):I.select("rect").attr("width","number"==typeof r[0].y?Math.max(0,i.c2p(Math.min(u.gauge.axis.range[1],r[0].y))):0);I.exit().remove();var O=r.filter((function(){return u.gauge.threshold.value||0===u.gauge.threshold.value})),z=f.selectAll("g.threshold-bullet").data(O);z.enter().append("g").classed("threshold-bullet",!0).append("line"),z.select("line").attr("x1",i.c2p(u.gauge.threshold.value)).attr("x2",i.c2p(u.gauge.threshold.value)).attr("y1",(1-u.gauge.threshold.thickness)/2*A).attr("y2",(1-(1-u.gauge.threshold.thickness)/2)*A).call(y.stroke,u.gauge.threshold.line.color).style("stroke-width",u.gauge.threshold.line.width),z.exit().remove();var D=f.selectAll("g.gauge-outline").data([g]);D.enter().append("g").classed("gauge-outline",!0).append("rect"),D.select("rect").call(L).call(T),D.exit().remove()}(t,0,e,{gauge:X,layer:Z,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:g});var J=O.selectAll("text.title").data(e);J.exit().remove(),J.enter().append("text").classed("title",!0),J.attr("text-anchor",(function(){return R?x.right:x[I.title.align]})).text(I.title.text).call(f.font,I.title.font).call(p.convertToTspans,t),J.attr("transform",(function(){var t,e=B.l+B.w*b[I.title.align],r=h.titlePadding,n=f.bBox(J.node());if(z){if(D)if(I.gauge.axis.visible)t=f.bBox(W.node()).top-r-n.bottom;else t=B.t+B.h/2-U/2-n.bottom-r;R&&(t=E-(n.top+n.bottom)/2,e=B.l-h.bulletPadding*B.w)}else t=I._numbersTop-r-n.bottom;return l(e,t)}))}))}},{"../../components/color":361,"../../components/drawing":383,"../../constants/alignment":466,"../../lib":498,"../../lib/svg_text_utils":524,"../../plots/cartesian/axes":549,"../../plots/cartesian/axis_defaults":551,"../../plots/cartesian/layout_attributes":564,"../../plots/cartesian/position_defaults":567,"./constants":853,"@plotly/d3":58,"d3-interpolate":111}],857:[function(t,e,r){"use strict";var n=t("../../components/colorscale/attributes"),i=t("../../plots/cartesian/axis_format_attributes").axisHoverFormat,a=t("../../plots/template_attributes").hovertemplateAttrs,o=t("../mesh3d/attributes"),s=t("../../plots/attributes"),l=t("../../lib/extend").extendFlat,c=t("../../plot_api/edit_types").overrideAll;var u=e.exports=c(l({x:{valType:"data_array"},y:{valType:"data_array"},z:{valType:"data_array"},value:{valType:"data_array"},isomin:{valType:"number"},isomax:{valType:"number"},surface:{show:{valType:"boolean",dflt:!0},count:{valType:"integer",dflt:2,min:1},fill:{valType:"number",min:0,max:1,dflt:1},pattern:{valType:"flaglist",flags:["A","B","C","D","E"],extras:["all","odd","even"],dflt:"all"}},spaceframe:{show:{valType:"boolean",dflt:!1},fill:{valType:"number",min:0,max:1,dflt:.15}},slices:{x:{show:{valType:"boolean",dflt:!1},locations:{valType:"data_array",dflt:[]},fill:{valType:"number",min:0,max:1,dflt:1}},y:{show:{valType:"boolean",dflt:!1},locations:{valType:"data_array",dflt:[]},fill:{valType:"number",min:0,max:1,dflt:1}},z:{show:{valType:"boolean",dflt:!1},locations:{valType:"data_array",dflt:[]},fill:{valType:"number",min:0,max:1,dflt:1}}},caps:{x:{show:{valType:"boolean",dflt:!0},fill:{valType:"number",min:0,max:1,dflt:1}},y:{show:{valType:"boolean",dflt:!0},fill:{valType:"number",min:0,max:1,dflt:1}},z:{show:{valType:"boolean",dflt:!0},fill:{valType:"number",min:0,max:1,dflt:1}}},text:{valType:"string",dflt:"",arrayOk:!0},hovertext:{valType:"string",dflt:"",arrayOk:!0},hovertemplate:a(),xhoverformat:i("x"),yhoverformat:i("y"),zhoverformat:i("z"),valuehoverformat:i("value",1),showlegend:l({},s.showlegend,{dflt:!1})},n("",{colorAttr:"`value`",showScaleDflt:!0,editTypeOverride:"calc"}),{opacity:o.opacity,lightposition:o.lightposition,lighting:o.lighting,flatshading:o.flatshading,contour:o.contour,hoverinfo:l({},s.hoverinfo)}),"calc","nested");u.flatshading.dflt=!0,u.lighting.facenormalsepsilon.dflt=0,u.x.editType=u.y.editType=u.z.editType=u.value.editType="calc+clearAxisTypes",u.transforms=void 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0===e.isomax||null===e.isomin?s:e.isomax,n(t,e,{vals:[e._vMin,e._vMax],containerStr:"",cLetter:"c"})}},{"../../components/colorscale/calc":369,"../streamtube/calc":1040}],859:[function(t,e,r){"use strict";var n=t("../../../stackgl_modules").gl_mesh3d,i=t("../../lib/gl_format_color").parseColorScale,a=t("../../lib/str2rgbarray"),o=t("../../components/colorscale").extractOpts,s=t("../../plots/gl3d/zip3"),l=function(t,e){for(var r=e.length-1;r>0;r--){var n=Math.min(e[r],e[r-1]),i=Math.max(e[r],e[r-1]);if(i>n&&n<t&&t<=i)return{id:r,distRatio:(i-t)/(i-n)}}return{id:0,distRatio:0}};function c(t,e,r){this.scene=t,this.uid=r,this.mesh=e,this.name="",this.data=null,this.showContour=!1}var u=c.prototype;u.handlePick=function(t){if(t.object===this.mesh){var e=t.data.index,r=this.data._meshX[e],n=this.data._meshY[e],i=this.data._meshZ[e],a=this.data._Ys.length,o=this.data._Zs.length,s=l(r,this.data._Xs).id,c=l(n,this.data._Ys).id,u=l(i,this.data._Zs).id,f=t.index=u+o*c+o*a*s;t.traceCoordinate=[this.data._meshX[f],this.data._meshY[f],this.data._meshZ[f],this.data._value[f]];var h=this.data.hovertext||this.data.text;return Array.isArray(h)&&void 0!==h[f]?t.textLabel=h[f]:h&&(t.textLabel=h),!0}},u.update=function(t){var e=this.scene,r=e.fullSceneLayout;function n(t,e,r,n){return e.map((function(e){return t.d2l(e,0,n)*r}))}this.data=h(t);var l={positions:s(n(r.xaxis,t._meshX,e.dataScale[0],t.xcalendar),n(r.yaxis,t._meshY,e.dataScale[1],t.ycalendar),n(r.zaxis,t._meshZ,e.dataScale[2],t.zcalendar)),cells:s(t._meshI,t._meshJ,t._meshK),lightPosition:[t.lightposition.x,t.lightposition.y,t.lightposition.z],ambient:t.lighting.ambient,diffuse:t.lighting.diffuse,specular:t.lighting.specular,roughness:t.lighting.roughness,fresnel:t.lighting.fresnel,vertexNormalsEpsilon:t.lighting.vertexnormalsepsilon,faceNormalsEpsilon:t.lighting.facenormalsepsilon,opacity:t.opacity,contourEnable:t.contour.show,contourColor:a(t.contour.color).slice(0,3),contourWidth:t.contour.width,useFacetNormals:t.flatshading},c=o(t);l.vertexIntensity=t._meshIntensity,l.vertexIntensityBounds=[c.min,c.max],l.colormap=i(t),this.mesh.update(l)},u.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()};var f=["xyz","xzy","yxz","yzx","zxy","zyx"];function h(t){t._meshI=[],t._meshJ=[],t._meshK=[];var 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n=t("@plotly/d3"),i=t("../../components/drawing"),a=t("../../components/color");e.exports=function(t,e,r){var o=r||n.select(t).selectAll("g.ohlclayer").selectAll("g.trace");o.style("opacity",(function(t){return t[0].trace.opacity})),o.each((function(t){var e=t[0].trace;n.select(this).selectAll("path").each((function(t){if(!t.empty){var r=e[t.dir].line;n.select(this).style("fill","none").call(a.stroke,r.color).call(i.dashLine,r.dash,r.width).style("opacity",e.selectedpoints&&!t.selected?.3:1)}}))}))}},{"../../components/color":361,"../../components/drawing":383,"@plotly/d3":58}],876:[function(t,e,r){"use strict";var n=t("../../lib/extend").extendFlat,i=t("../../plots/attributes"),a=t("../../plots/font_attributes"),o=t("../../components/colorscale/attributes"),s=t("../../plots/template_attributes").hovertemplateAttrs,l=t("../../plots/domain").attributes,c=n({editType:"calc"},o("line",{editTypeOverride:"calc"}),{shape:{valType:"enumerated",values:["linear","hspline"],dflt:"linear",editType:"plot"},hovertemplate:s({editType:"plot",arrayOk:!1},{keys:["count","probability"]})});e.exports={domain:l({name:"parcats",trace:!0,editType:"calc"}),hoverinfo:n({},i.hoverinfo,{flags:["count","probability"],editType:"plot",arrayOk:!1}),hoveron:{valType:"enumerated",values:["category","color","dimension"],dflt:"category",editType:"plot"},hovertemplate:s({editType:"plot",arrayOk:!1},{keys:["count","probability","category","categorycount","colorcount","bandcolorcount"]}),arrangement:{valType:"enumerated",values:["perpendicular","freeform","fixed"],dflt:"perpendicular",editType:"plot"},bundlecolors:{valType:"boolean",dflt:!0,editType:"plot"},sortpaths:{valType:"enumerated",values:["forward","backward"],dflt:"forward",editType:"plot"},labelfont:a({editType:"calc"}),tickfont:a({editType:"calc"}),dimensions:{_isLinkedToArray:"dimension",label:{valType:"string",editType:"calc"},categoryorder:{valType:"enumerated",values:["trace","category 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i=n._has&&n._has("parcats"),a=e._has&&e._has("parcats");i&&!a&&n._paperdiv.selectAll(".parcats").remove()}},{"../../plots/get_data":588,"./plot":882}],878:[function(t,e,r){"use strict";var n=t("../../lib/gup").wrap,i=t("../../components/colorscale/helpers").hasColorscale,a=t("../../components/colorscale/calc"),o=t("../../lib/filter_unique.js"),s=t("../../components/drawing"),l=t("../../lib"),c=t("fast-isnumeric");function u(t,e,r){t.valueInds.push(e),t.count+=r}function f(t,e,r){return{categoryInds:t,color:e,rawColor:r,valueInds:[],count:0}}function h(t,e,r){t.valueInds.push(e),t.count+=r}e.exports=function(t,e){var r=l.filterVisible(e.dimensions);if(0===r.length)return[];var p,d,m,g=r.map((function(t){var e;if("trace"===t.categoryorder)e=null;else if("array"===t.categoryorder)e=t.categoryarray;else{e=o(t.values);for(var r=!0,n=0;n<e.length;n++)if(!c(e[n])){r=!1;break}e.sort(r?l.sorterAsc:void 0),"category descending"===t.categoryorder&&(e=e.reverse())}return function(t,e){e=null==e?[]:e.map((function(t){return t}));var r={},n={},i=[];e.forEach((function(t,e){r[t]=0,n[t]=e}));for(var a=0;a<t.length;a++){var o,s=t[a];void 0===r[s]?(r[s]=1,o=e.push(s)-1,n[s]=o):(r[s]++,o=n[s]),i.push(o)}var l=e.map((function(t){return r[t]}));return{uniqueValues:e,uniqueCounts:l,inds:i}}(t.values,e)}));p=l.isArrayOrTypedArray(e.counts)?e.counts:[e.counts],function(t){var e;if(function(t){for(var e=new Array(t.length),r=0;r<t.length;r++){if(t[r]<0||t[r]>=t.length)return!1;if(void 0!==e[t[r]])return!1;e[t[r]]=!0}return!0}(t.map((function(t){return t.displayindex}))))for(e=0;e<t.length;e++)t[e]._displayindex=t[e].displayindex;else for(e=0;e<t.length;e++)t[e]._displayindex=e}(r),r.forEach((function(t,e){!function(t,e){t._categoryarray=e.uniqueValues,null===t.ticktext||void 0===t.ticktext?t._ticktext=[]:t._ticktext=t.ticktext.slice();for(var r=t._ticktext.length;r<e.uniqueValues.length;r++)t._ticktext.push(e.uniqueValues[r])}(t,g[e])}));var v,y=e.line;y?(i(e,"line")&&a(t,e,{vals:e.line.color,containerStr:"line",cLetter:"c"}),v=s.tryColorscale(y)):v=l.identity;var x,b,_,w,T,k=r[0].values.length,A={},M=g.map((function(t){return t.inds}));for(m=0,x=0;x<k;x++){var S=[];for(b=0;b<M.length;b++)S.push(M[b][x]);d=p[x%p.length],m+=d;var E=(_=x,w=void 0,T=void 0,l.isArrayOrTypedArray(y.color)?T=w=y.color[_%y.color.length]:w=y.color,{color:v(w),rawColor:T}),L=S+"-"+E.rawColor;void 0===A[L]&&(A[L]=f(S,E.color,E.rawColor)),h(A[L],x,d)}var C,P=r.map((function(t,e){return function(t,e,r,n,i){return{dimensionInd:t,containerInd:e,displayInd:r,dimensionLabel:n,count:i,categories:[],dragX:null}}(e,t._index,t._displayindex,t.label,m)}));for(x=0;x<k;x++)for(d=p[x%p.length],b=0;b<P.length;b++){var I=P[b].containerInd,O=g[b].inds[x],z=P[b].categories;if(void 0===z[O]){var D=e.dimensions[I]._categoryarray[O],R=e.dimensions[I]._ticktext[O];z[O]={dimensionInd:b,categoryInd:C=O,categoryValue:D,displayInd:C,categoryLabel:R,valueInds:[],count:0,dragY:null}}u(z[O],x,d)}return n(function(t,e,r){var n=t.map((function(t){return t.categories.length})).reduce((function(t,e){return Math.max(t,e)}));return{dimensions:t,paths:e,trace:void 0,maxCats:n,count:r}}(P,A,m))}},{"../../components/colorscale/calc":369,"../../components/colorscale/helpers":372,"../../components/drawing":383,"../../lib":498,"../../lib/filter_unique.js":489,"../../lib/gup":495,"fast-isnumeric":185}],879:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../components/colorscale/helpers").hasColorscale,a=t("../../components/colorscale/defaults"),o=t("../../plots/domain").defaults,s=t("../../plots/array_container_defaults"),l=t("./attributes"),c=t("../parcoords/merge_length");function u(t,e){function r(r,i){return n.coerce(t,e,l.dimensions,r,i)}var i=r("values"),a=r("visible");if(i&&i.length||(a=e.visible=!1),a){r("label"),r("displayindex",e._index);var o,s=t.categoryarray,c=Array.isArray(s)&&s.length>0;c&&(o="array");var u=r("categoryorder",o);"array"===u?(r("categoryarray"),r("ticktext")):(delete t.categoryarray,delete t.ticktext),c||"array"!==u||(e.categoryorder="trace")}}e.exports=function(t,e,r,f){function h(r,i){return n.coerce(t,e,l,r,i)}var p=s(t,e,{name:"dimensions",handleItemDefaults:u}),d=function(t,e,r,o,s){s("line.shape"),s("line.hovertemplate");var l=s("line.color",o.colorway[0]);if(i(t,"line")&&n.isArrayOrTypedArray(l)){if(l.length)return s("line.colorscale"),a(t,e,o,s,{prefix:"line.",cLetter:"c"}),l.length;e.line.color=r}return 1/0}(t,e,r,f,h);o(e,f,h),Array.isArray(p)&&p.length||(e.visible=!1),c(e,p,"values",d),h("hoveron"),h("hovertemplate"),h("arrangement"),h("bundlecolors"),h("sortpaths"),h("counts");var m={family:f.font.family,size:Math.round(f.font.size),color:f.font.color};n.coerceFont(h,"labelfont",m);var g={family:f.font.family,size:Math.round(f.font.size/1.2),color:f.font.color};n.coerceFont(h,"tickfont",g)}},{"../../components/colorscale/defaults":371,"../../components/colorscale/helpers":372,"../../lib":498,"../../plots/array_container_defaults":544,"../../plots/domain":579,"../parcoords/merge_length":893,"./attributes":876}],880:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),calc:t("./calc"),plot:t("./plot"),colorbar:{container:"line",min:"cmin",max:"cmax"},moduleType:"trace",name:"parcats",basePlotModule:t("./base_plot"),categories:["noOpacity"],meta:{}}},{"./attributes":876,"./base_plot":877,"./calc":878,"./defaults":879,"./plot":882}],881:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("d3-interpolate").interpolateNumber,a=t("../../plot_api/plot_api"),o=t("../../components/fx"),s=t("../../lib"),l=s.strTranslate,c=t("../../components/drawing"),u=t("tinycolor2"),f=t("../../lib/svg_text_utils");function h(t,e,r,i){var a=t.map(F.bind(0,e,r)),o=i.selectAll("g.parcatslayer").data([null]);o.enter().append("g").attr("class","parcatslayer").style("pointer-events","all");var u=o.selectAll("g.trace.parcats").data(a,p),h=u.enter().append("g").attr("class","trace parcats");u.attr("transform",(function(t){return l(t.x,t.y)})),h.append("g").attr("class","paths");var y=u.select("g.paths").selectAll("path.path").data((function(t){return t.paths}),p);y.attr("fill",(function(t){return t.model.color}));var x=y.enter().append("path").attr("class","path").attr("stroke-opacity",0).attr("fill",(function(t){return t.model.color})).attr("fill-opacity",0);_(x),y.attr("d",(function(t){return t.svgD})),x.empty()||y.sort(m),y.exit().remove(),y.on("mouseover",g).on("mouseout",v).on("click",b),h.append("g").attr("class","dimensions");var w=u.select("g.dimensions").selectAll("g.dimension").data((function(t){return t.dimensions}),p);w.enter().append("g").attr("class","dimension"),w.attr("transform",(function(t){return l(t.x,0)})),w.exit().remove();var A=w.selectAll("g.category").data((function(t){return t.categories}),p),M=A.enter().append("g").attr("class","category");A.attr("transform",(function(t){return l(0,t.y)})),M.append("rect").attr("class","catrect").attr("pointer-events","none"),A.select("rect.catrect").attr("fill","none").attr("width",(function(t){return t.width})).attr("height",(function(t){return t.height})),T(M);var S=A.selectAll("rect.bandrect").data((function(t){return t.bands}),p);S.each((function(){s.raiseToTop(this)})),S.attr("fill",(function(t){return t.color}));var E=S.enter().append("rect").attr("class","bandrect").attr("stroke-opacity",0).attr("fill",(function(t){return t.color})).attr("fill-opacity",0);S.attr("fill",(function(t){return t.color})).attr("width",(function(t){return t.width})).attr("height",(function(t){return t.height})).attr("y",(function(t){return t.y})).attr("cursor",(function(t){return"fixed"===t.parcatsViewModel.arrangement?"default":"perpendicular"===t.parcatsViewModel.arrangement?"ns-resize":"move"})),k(E),S.exit().remove(),M.append("text").attr("class","catlabel").attr("pointer-events","none");var z=e._fullLayout.paper_bgcolor;A.select("text.catlabel").attr("text-anchor",(function(t){return d(t)?"start":"end"})).attr("alignment-baseline","middle").style("text-shadow",f.makeTextShadow(z)).style("fill","rgb(0, 0, 0)").attr("x",(function(t){return d(t)?t.width+5:-5})).attr("y",(function(t){return t.height/2})).text((function(t){return t.model.categoryLabel})).each((function(t){c.font(n.select(this),t.parcatsViewModel.categorylabelfont),f.convertToTspans(n.select(this),e)})),M.append("text").attr("class","dimlabel"),A.select("text.dimlabel").attr("text-anchor","middle").attr("alignment-baseline","baseline").attr("cursor",(function(t){return"fixed"===t.parcatsViewModel.arrangement?"default":"ew-resize"})).attr("x",(function(t){return t.width/2})).attr("y",-5).text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){c.font(n.select(this),t.parcatsViewModel.labelfont)})),A.selectAll("rect.bandrect").on("mouseover",L).on("mouseout",C),A.exit().remove(),w.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on("dragstart",P).on("drag",I).on("dragend",O)),u.each((function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll("g.paths").selectAll("path.path"),t.dimensionSelection=n.select(this).selectAll("g.dimensions").selectAll("g.dimension")})),u.exit().remove()}function p(t){return t.key}function d(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function m(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function g(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip")){s.raiseToTop(this),w(n.select(this));var e=y(t),r=x(t);if(t.parcatsViewModel.graphDiv.emit("plotly_hover",{points:e,event:n.event,constraints:r}),-1===t.parcatsViewModel.hoverinfoItems.indexOf("none")){var i,a,l,c=n.mouse(this)[0],f=t.parcatsViewModel.graphDiv,h=t.parcatsViewModel.trace,p=f._fullLayout,d=p._paperdiv.node().getBoundingClientRect(),m=t.parcatsViewModel.graphDiv.getBoundingClientRect();for(l=0;l<t.leftXs.length-1;l++)if(t.leftXs[l]+t.dimWidths[l]-2<=c&&c<=t.leftXs[l+1]+2){var g=t.parcatsViewModel.dimensions[l],v=t.parcatsViewModel.dimensions[l+1];i=(g.x+g.width+v.x)/2,a=(t.topYs[l]+t.topYs[l+1]+t.height)/2;break}var b=t.parcatsViewModel.x+i,_=t.parcatsViewModel.y+a,T=u.mostReadable(t.model.color,["black","white"]),k=t.model.count,A=k/t.parcatsViewModel.model.count,M={countLabel:k,probabilityLabel:A.toFixed(3)},S=[];-1!==t.parcatsViewModel.hoverinfoItems.indexOf("count")&&S.push(["Count:",M.countLabel].join(" ")),-1!==t.parcatsViewModel.hoverinfoItems.indexOf("probability")&&S.push(["P:",M.probabilityLabel].join(" "));var E=S.join("<br>"),L=n.mouse(f)[0];o.loneHover({trace:h,x:b-d.left+m.left,y:_-d.top+m.top,text:E,color:t.model.color,borderColor:"black",fontFamily:'Monaco, "Courier New", monospace',fontSize:10,fontColor:T,idealAlign:L<b?"right":"left",hovertemplate:(h.line||{}).hovertemplate,hovertemplateLabels:M,eventData:[{data:h._input,fullData:h,count:k,probability:A}]},{container:p._hoverlayer.node(),outerContainer:p._paper.node(),gd:f})}}}function v(t){if(!t.parcatsViewModel.dragDimension&&(_(n.select(this)),o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(m),-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip"))){var e=y(t),r=x(t);t.parcatsViewModel.graphDiv.emit("plotly_unhover",{points:e,event:n.event,constraints:r})}}function y(t){for(var e=[],r=z(t.parcatsViewModel),n=0;n<t.model.valueInds.length;n++){var i=t.model.valueInds[n];e.push({curveNumber:r,pointNumber:i})}return e}function x(t){for(var e={},r=t.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var i=r[n],a=i.categories[t.model.categoryInds[n]];e[i.containerInd]=a.categoryValue}return void 0!==t.model.rawColor&&(e.color=t.model.rawColor),e}function b(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip")){var e=y(t),r=x(t);t.parcatsViewModel.graphDiv.emit("plotly_click",{points:e,event:n.event,constraints:r})}}function _(t){t.attr("fill",(function(t){return t.model.color})).attr("fill-opacity",.6).attr("stroke","lightgray").attr("stroke-width",.2).attr("stroke-opacity",1)}function w(t){t.attr("fill-opacity",.8).attr("stroke",(function(t){return u.mostReadable(t.model.color,["black","white"])})).attr("stroke-width",.3)}function T(t){t.select("rect.catrect").attr("stroke","black").attr("stroke-width",1).attr("stroke-opacity",1)}function k(t){t.attr("stroke","black").attr("stroke-width",.2).attr("stroke-opacity",1).attr("fill-opacity",1)}function A(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter((function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color}))}function M(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=n.select(t.parentNode).selectAll("rect.bandrect"),l=[];s.each((function(t){A(t).each((function(t){Array.prototype.push.apply(l,y(t))}))}));var c={};c[a.dimensionInd]=a.categoryValue,o.emit(e,{points:l,event:r,constraints:c})}function S(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=A(i),l=[];s.each((function(t){Array.prototype.push.apply(l,y(t))}));var c={};c[a.dimensionInd]=a.categoryValue,void 0!==i.rawColor&&(c.color=i.rawColor),o.emit(e,{points:l,event:r,constraints:c})}function E(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=n.select(r.parentNode).select("rect.catrect"),c=l.node().getBoundingClientRect(),u=l.datum(),f=u.parcatsViewModel,h=f.model.dimensions[u.model.dimensionInd],p=f.trace,d=c.top+c.height/2;f.dimensions.length>1&&h.displayInd===f.dimensions.length-1?(i=c.left,a="left"):(i=c.left+c.width,a="right");var m=u.model.count,g=u.model.categoryLabel,v=m/u.parcatsViewModel.model.count,y={countLabel:m,categoryLabel:g,probabilityLabel:v.toFixed(3)},x=[];-1!==u.parcatsViewModel.hoverinfoItems.indexOf("count")&&x.push(["Count:",y.countLabel].join(" ")),-1!==u.parcatsViewModel.hoverinfoItems.indexOf("probability")&&x.push(["P("+y.categoryLabel+"):",y.probabilityLabel].join(" "));var b=x.join("<br>");return{trace:p,x:o*(i-e.left),y:s*(d-e.top),text:b,color:"lightgray",borderColor:"black",fontFamily:'Monaco, "Courier New", monospace',fontSize:12,fontColor:"black",idealAlign:a,hovertemplate:p.hovertemplate,hovertemplateLabels:y,eventData:[{data:p._input,fullData:p,count:m,category:g,probability:v}]}}function L(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip")){if(n.mouse(this)[1]<-1)return;var e,r=t.parcatsViewModel.graphDiv,i=r._fullLayout,a=i._paperdiv.node().getBoundingClientRect(),l=t.parcatsViewModel.hoveron;if("color"===l?(!function(t){var e=n.select(t).datum(),r=A(e);w(r),r.each((function(){s.raiseToTop(this)})),n.select(t.parentNode).selectAll("rect.bandrect").filter((function(t){return t.color===e.color})).each((function(){s.raiseToTop(this),n.select(this).attr("stroke","black").attr("stroke-width",1.5)}))}(this),S(this,"plotly_hover",n.event)):(!function(t){n.select(t.parentNode).selectAll("rect.bandrect").each((function(t){var e=A(t);w(e),e.each((function(){s.raiseToTop(this)}))})),n.select(t.parentNode).select("rect.catrect").attr("stroke","black").attr("stroke-width",2.5)}(this),M(this,"plotly_hover",n.event)),-1===t.parcatsViewModel.hoverinfoItems.indexOf("none"))"category"===l?e=E(r,a,this):"color"===l?e=function(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=r.getBoundingClientRect(),c=n.select(r).datum(),f=c.categoryViewModel,h=f.parcatsViewModel,p=h.model.dimensions[f.model.dimensionInd],d=h.trace,m=l.y+l.height/2;h.dimensions.length>1&&p.displayInd===h.dimensions.length-1?(i=l.left,a="left"):(i=l.left+l.width,a="right");var g=f.model.categoryLabel,v=c.parcatsViewModel.model.count,y=0;c.categoryViewModel.bands.forEach((function(t){t.color===c.color&&(y+=t.count)}));var x=f.model.count,b=0;h.pathSelection.each((function(t){t.model.color===c.color&&(b+=t.model.count)}));var _=y/v,w=y/b,T=y/x,k={countLabel:v,categoryLabel:g,probabilityLabel:_.toFixed(3)},A=[];-1!==f.parcatsViewModel.hoverinfoItems.indexOf("count")&&A.push(["Count:",k.countLabel].join(" ")),-1!==f.parcatsViewModel.hoverinfoItems.indexOf("probability")&&(A.push("P(color \u2229 "+g+"): "+k.probabilityLabel),A.push("P("+g+" | color): "+w.toFixed(3)),A.push("P(color | "+g+"): "+T.toFixed(3)));var M=A.join("<br>"),S=u.mostReadable(c.color,["black","white"]);return{trace:d,x:o*(i-e.left),y:s*(m-e.top),text:M,color:c.color,borderColor:"black",fontFamily:'Monaco, "Courier New", monospace',fontColor:S,fontSize:10,idealAlign:a,hovertemplate:d.hovertemplate,hovertemplateLabels:k,eventData:[{data:d._input,fullData:d,category:g,count:v,probability:_,categorycount:x,colorcount:b,bandcolorcount:y}]}}(r,a,this):"dimension"===l&&(e=function(t,e,r){var i=[];return n.select(r.parentNode.parentNode).selectAll("g.category").select("rect.catrect").each((function(){i.push(E(t,e,this))})),i}(r,a,this)),e&&o.loneHover(e,{container:i._hoverlayer.node(),outerContainer:i._paper.node(),gd:r})}}function C(t){var e=t.parcatsViewModel;if(!e.dragDimension&&(_(e.pathSelection),T(e.dimensionSelection.selectAll("g.category")),k(e.dimensionSelection.selectAll("g.category").selectAll("rect.bandrect")),o.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(m),-1===e.hoverinfoItems.indexOf("skip"))){"color"===t.parcatsViewModel.hoveron?S(this,"plotly_unhover",n.event):M(this,"plotly_unhover",n.event)}}function P(t){"fixed"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll("g.category").select("rect.catrect").each((function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,s.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll("rect.bandrect").each((function(e){e.y<i&&i<=e.y+e.height&&(t.potentialClickBand=this)})))})),t.parcatsViewModel.dragDimension=t,o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function I(t){if("fixed"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,i=e+1,a=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=a.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var s=o.model.dragY,l=o.model.displayInd,c=a.categories,u=c[l-1],f=c[l+1];void 0!==u&&s<u.y+u.height/2&&(o.model.displayInd=u.model.displayInd,u.model.displayInd=l),void 0!==f&&s+o.height>f.y+f.height/2&&(o.model.displayInd=f.model.displayInd,f.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||"freeform"===t.parcatsViewModel.arrangement){a.model.dragX=n.event.x;var h=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[i];void 0!==h&&a.model.dragX<h.x+h.width&&(a.model.displayInd=h.model.displayInd,h.model.displayInd=e),void 0!==p&&a.model.dragX+a.width>p.x&&(a.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=a.model.displayInd}j(t.parcatsViewModel),N(t.parcatsViewModel),R(t.parcatsViewModel),D(t.parcatsViewModel)}}function O(t){if("fixed"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll("text").attr("font-weight","normal");var e={},r=z(t.parcatsViewModel),i=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),o=t.initialDragDimensionDisplayInds.some((function(t,e){return t!==i[e]}));o&&i.forEach((function(r,n){var i=t.parcatsViewModel.model.dimensions[n].containerInd;e["dimensions["+i+"].displayindex"]=r}));var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map((function(t){return t.displayInd}));if(s=t.initialDragCategoryDisplayInds.some((function(t,e){return t!==l[e]}))){var c=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),u=c.map((function(t){return t.categoryValue})),f=c.map((function(t){return 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strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),calc:t("./calc"),colorbar:{container:"line",min:"cmin",max:"cmax"},moduleType:"trace",name:"parcoords",basePlotModule:t("./base_plot"),categories:["gl","regl","noOpacity","noHover"],meta:{}}},{"./attributes":883,"./base_plot":886,"./calc":887,"./defaults":889}],886:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../../plots/get_data").getModuleCalcData,a=t("./plot"),o=t("../../constants/xmlns_namespaces");r.name="parcoords",r.plot=function(t){var e=i(t.calcdata,"parcoords")[0];e.length&&a(t,e)},r.clean=function(t,e,r,n){var i=n._has&&n._has("parcoords"),a=e._has&&e._has("parcoords");i&&!a&&(n._paperdiv.selectAll(".parcoords").remove(),n._glimages.selectAll("*").remove())},r.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(".svg-container");r.filter((function(t,e){return e===r.size()-1})).selectAll(".gl-canvas-context, .gl-canvas-focus").each((function(){var t=this.toDataURL("image/png");e.append("svg:image").attr({xmlns:o.svg,"xlink:href":t,preserveAspectRatio:"none",x:0,y:0,width:this.style.width,height:this.style.height})})),window.setTimeout((function(){n.selectAll("#filterBarPattern").attr("id","filterBarPattern")}),60)}},{"../../constants/xmlns_namespaces":475,"../../plots/get_data":588,"./plot":895,"@plotly/d3":58}],887:[function(t,e,r){"use strict";var n=t("../../lib").isArrayOrTypedArray,i=t("../../components/colorscale"),a=t("../../lib/gup").wrap;e.exports=function(t,e){var r,o;return i.hasColorscale(e,"line")&&n(e.line.color)?(r=e.line.color,o=i.extractOpts(e.line).colorscale,i.calc(t,e,{vals:r,containerStr:"line",cLetter:"c"})):(r=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=.5;return e}(e._length),o=[[0,e.line.color],[1,e.line.color]]),a({lineColor:r,cscale:o})}},{"../../components/colorscale":373,"../../lib":498,"../../lib/gup":495}],888:[function(t,e,r){"use strict";e.exports={maxDimensionCount:60,overdrag:45,verticalPadding:2,tickDistance:50,canvasPixelRatio:1,blockLineCount:5e3,layers:["contextLineLayer","focusLineLayer","pickLineLayer"],axisTitleOffset:28,axisExtentOffset:10,deselectedLineColor:"#777",bar:{width:4,captureWidth:10,fillColor:"magenta",fillOpacity:1,snapDuration:150,snapRatio:.25,snapClose:.01,strokeOpacity:1,strokeWidth:1,handleHeight:8,handleOpacity:1,handleOverlap:0},cn:{axisExtentText:"axis-extent-text",parcoordsLineLayers:"parcoords-line-layers",parcoordsLineLayer:"parcoords-lines",parcoords:"parcoords",parcoordsControlView:"parcoords-control-view",yAxis:"y-axis",axisOverlays:"axis-overlays",axis:"axis",axisHeading:"axis-heading",axisTitle:"axis-title",axisExtent:"axis-extent",axisExtentTop:"axis-extent-top",axisExtentTopText:"axis-extent-top-text",axisExtentBottom:"axis-extent-bottom",axisExtentBottomText:"axis-extent-bottom-text",axisBrush:"axis-brush"},id:{filterBarPattern:"filter-bar-pattern"}}},{}],889:[function(t,e,r){"use 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s.extendFlat({key:f,resolution:[x,b],viewBoxPos:[o+v,l],viewBoxSize:[c,u],i0:i,i1:a,dim0A:m[0].slice(0,16),dim0B:m[0].slice(16,32),dim0C:m[0].slice(32,48),dim0D:m[0].slice(48,64),dim1A:m[1].slice(0,16),dim1B:m[1].slice(16,32),dim1C:m[1].slice(32,48),dim1D:m[1].slice(48,64),drwLayer:h,contextColor:[A[0]/255,A[1]/255,A[2]/255,A[3]<1?A[3]:Math.max(1/255,Math.pow(1/t.lines.color.length,1/3))],scissorX:(n===e?0:o+v)+(_-v)+k*y.x[0],scissorWidth:(n===r?x-o+v:c+.5)+(n===e?o+v:0),scissorY:l+w+T*y.y[0],scissorHeight:u,viewportX:_-v+k*y.x[0],viewportY:w+T*y.y[0],viewportWidth:x,viewportHeight:b},p)}function x(t){var e=Math.max(0,Math.floor(2047*t[0]),0),r=Math.min(2047,Math.ceil(2047*t[1]),2047);return[Math.min(e,r),Math.max(e,r)]}e.exports=function(t,e){var r,n,l,g,b,_=e.context,w=e.pick,T=e.regl,k=T._gl,A=k.getParameter(k.ALIASED_LINE_WIDTH_RANGE),M=Math.max(A[0],Math.min(A[1],e.viewModel.plotGlPixelRatio)),S={currentRafs:{},drawCompleted:!0,clearOnly:!1},E=function(t){for(var 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I(t){r=t.model,n=t.viewModel,l=n.dimensions.slice(),g=l[0]?l[0].values.length:0;var e=r.lines,i=w?e.color.map((function(t,r){return r/e.color.length})):e.color,a=function(t,e,r){for(var n,i=new Array(t*(o+4)),a=0,s=0;s<t;s++){for(var l=0;l<o;l++)i[a++]=l<e.length?e[l].paddedUnitValues[s]:.5;i[a++]=d(s,2),i[a++]=d(s,1),i[a++]=d(s,0),i[a++]=(n=r[s],Math.max(1e-6,Math.min(.999999,n)))}return i}(g,l,i);!function(t,e,r){for(var n=0;n<=o;n+=4)t[v(n)](m(n/4,e,r))}(E,g,a),_||w||(L=T.texture(s.extendFlat({data:p(r.unitToColor,255)},u)))}return{render:function(t,e,n){var i,a,o,s=t.length,c=1/0,u=-1/0;for(i=0;i<s;i++)t[i].dim0.canvasX<c&&(c=t[i].dim0.canvasX,a=i),t[i].dim1.canvasX>u&&(u=t[i].dim1.canvasX,o=i);0===s&&f(T,0,0,r.canvasWidth,r.canvasHeight);var p=function(t){var e,r,n,i=[[],[]];for(n=0;n<64;n++){var a=!t&&n<l.length?l[n].brush.filter.getBounds():[-1/0,1/0];i[0][n]=a[0],i[1][n]=a[1]}var o=new Array(16384);for(e=0;e<16384;e++)o[e]=255;if(!t)for(e=0;e<l.length;e++){var s=e%8,c=(e-s)/8,u=Math.pow(2,s),f=l[e].brush.filter.get();if(!(f.length<2)){var h=x(f[0])[1];for(r=1;r<f.length;r++){var p=x(f[r]);for(n=h+1;n<p[0];n++)o[8*n+c]&=~u;h=Math.max(h,p[1])}}}var d={shape:[8,2048],format:"alpha",type:"uint8",mag:"nearest",min:"nearest",data:o};return b?b(d):b=T.texture(d),{maskTexture:b,maskHeight:2048,loA:i[0].slice(0,16),loB:i[0].slice(16,32),loC:i[0].slice(32,48),loD:i[0].slice(48,64),hiA:i[1].slice(0,16),hiB:i[1].slice(16,32),hiC:i[1].slice(32,48),hiD:i[1].slice(48,64)}}(_);for(i=0;i<s;i++){var d=t[i],m=d.dim0.crossfilterDimensionIndex,v=d.dim1.crossfilterDimensionIndex,k=d.canvasX,A=d.canvasY,M=k+d.panelSizeX,E=d.plotGlPixelRatio;if(e||!C[m]||C[m][0]!==k||C[m][1]!==M){C[m]=[k,M];var L=y(r,a,o,i,m,v,k,A,d.panelSizeX,d.panelSizeY,d.dim0.crossfilterDimensionIndex,_?0:w?2:1,p,E);S.clearOnly=n;var I=e?r.lines.blockLineCount:g;h(T,P,S,I,g,L)}}},readPixel:function(t,e){return T.read({x:t,y:e,width:1,height:1,data:c}),c},readPixels:function(t,e,r,n){var i=new Uint8Array(4*r*n);return T.read({x:t,y:e,width:r,height:n,data:i}),i},destroy:function(){for(var e in t.style["pointer-events"]="none",L.destroy(),b&&b.destroy(),E)E[e].destroy()},update:I}}},{"../../lib":498,"./constants":888,glslify:222}],893:[function(t,e,r){"use strict";e.exports=function(t,e,r,n){var i,a;for(n||(n=1/0),i=0;i<e.length;i++)(a=e[i]).visible&&(n=Math.min(n,a[r].length));for(n===1/0&&(n=0),t._length=n,i=0;i<e.length;i++)(a=e[i]).visible&&(a._length=n);return n}},{}],894:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../../lib"),a=i.numberFormat,o=t("color-rgba"),s=t("../../plots/cartesian/axes"),l=i.strRotate,c=i.strTranslate,u=t("../../lib/svg_text_utils"),f=t("../../components/drawing"),h=t("../../components/colorscale"),p=t("../../lib/gup"),d=p.keyFun,m=p.repeat,g=p.unwrap,v=t("./helpers"),y=t("./constants"),x=t("./axisbrush"),b=t("./lines");function _(t,e,r){return i.aggNums(t,null,e,r)}function w(t,e){return k(_(Math.min,t,e),_(Math.max,t,e))}function 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0!==(x=c[r])&&""!==x||(x=r);var _=d[x=String(x)];void 0===_?(d[x]=a.length,(b=-1!==l.indexOf(x))||(g+=y),a.push({v:y,label:x,color:m(u[r],x),i:r,pts:[r],hidden:b})):(v=!0,(i=a[_]).v+=y,i.pts.push(r),i.hidden||(g+=y),!1===i.color&&u[r]&&(i.color=m(u[r],x)))}return a=a.filter((function(t){return t.v>=0})),("funnelarea"===e.type?v:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=g),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r="pie");var n=t._fullLayout,i=t.calcdata,a=n[r+"colorway"],s=n["_"+r+"colormap"];n["extend"+r+"colors"]&&(a=l(a,o));for(var c=0,u=0;u<i.length;u++){var f=i[u];if(f[0].trace.type===r)for(var h=0;h<f.length;h++){var p=f[h];!1===p.color&&(s[p.label]?p.color=s[p.label]:(s[p.label]=p.color=a[c%a.length],c++))}}},makePullColorFn:s,generateExtendedColors:l}},{"../../components/color":361,"fast-isnumeric":185,tinycolor2:307}],899:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("../../lib"),a=t("./attributes"),o=t("../../plots/domain").defaults,s=t("../bar/defaults").handleText;function l(t,e){var r=Array.isArray(t),a=i.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,a?e.length:1/0);if(isFinite(o)||(o=0),o&&a){for(var s,l=0;l<o;l++){var c=e[l];if(n(c)&&c>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}e.exports={handleLabelsAndValues:l,supplyDefaults:function(t,e,r,n){function c(r,n){return i.coerce(t,e,a,r,n)}var u=l(c("labels"),c("values")),f=u.len;if(e._hasLabels=u.hasLabels,e._hasValues=u.hasValues,!e._hasLabels&&e._hasValues&&(c("label0"),c("dlabel")),f){e._length=f,c("marker.line.width")&&c("marker.line.color"),c("marker.colors"),c("scalegroup");var h,p=c("text"),d=c("texttemplate");if(d||(h=c("textinfo",Array.isArray(p)?"text+percent":"percent")),c("hovertext"),c("hovertemplate"),d||h&&"none"!==h){var m=c("textposition");s(t,e,n,c,m,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(m)||"auto"===m||"outside"===m)&&c("automargin"),("inside"===m||"auto"===m||Array.isArray(m))&&c("insidetextorientation")}o(e,n,c);var g=c("hole");if(c("title.text")){var v=c("title.position",g?"middle center":"top center");g||"middle center"!==v||(e.title.position="top center"),i.coerceFont(c,"title.font",n.font)}c("sort"),c("direction"),c("rotation"),c("pull")}else e.visible=!1}}},{"../../lib":498,"../../plots/domain":579,"../bar/defaults":647,"./attributes":896,"fast-isnumeric":185}],900:[function(t,e,r){"use strict";var n=t("../../components/fx/helpers").appendArrayMultiPointValues;e.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,bbox:t.bbox,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),"funnelarea"===e.type&&(delete r.v,delete r.i),r}},{"../../components/fx/helpers":397}],901:[function(t,e,r){"use strict";var n=t("../../lib");function i(t){return-1!==t.indexOf("e")?t.replace(/[.]?0+e/,"e"):-1!==t.indexOf(".")?t.replace(/[.]?0+$/,""):t}r.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+"%"},r.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},r.getFirstFilled=function(t,e){if(Array.isArray(t))for(var r=0;r<e.length;r++){var n=t[e[r]];if(n||0===n||""===n)return n}},r.castOption=function(t,e){return Array.isArray(t)?r.getFirstFilled(t,e):t||void 0},r.getRotationAngle=function(t){return("auto"===t?0:t)*Math.PI/180}},{"../../lib":498}],902:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults").supplyDefaults,supplyLayoutDefaults:t("./layout_defaults"),layoutAttributes:t("./layout_attributes"),calc:t("./calc").calc,crossTraceCalc:t("./calc").crossTraceCalc,plot:t("./plot").plot,style:t("./style"),styleOne:t("./style_one"),moduleType:"trace",name:"pie",basePlotModule:t("./base_plot"),categories:["pie-like","pie","showLegend"],meta:{}}},{"./attributes":896,"./base_plot":897,"./calc":898,"./defaults":899,"./layout_attributes":903,"./layout_defaults":904,"./plot":905,"./style":906,"./style_one":907}],903:[function(t,e,r){"use strict";e.exports={hiddenlabels:{valType:"data_array",editType:"calc"},piecolorway:{valType:"colorlist",editType:"calc"},extendpiecolors:{valType:"boolean",dflt:!0,editType:"calc"}}},{}],904:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./layout_attributes");e.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r("hiddenlabels"),r("piecolorway",e.colorway),r("extendpiecolors")}},{"../../lib":498,"./layout_attributes":903}],905:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../../plots/plots"),a=t("../../components/fx"),o=t("../../components/color"),s=t("../../components/drawing"),l=t("../../lib"),c=l.strScale,u=l.strTranslate,f=t("../../lib/svg_text_utils"),h=t("../bar/uniform_text"),p=h.recordMinTextSize,d=h.clearMinTextSize,m=t("../bar/constants").TEXTPAD,g=t("./helpers"),v=t("./event_data"),y=t("../../lib").isValidTextValue;function x(t,e,r){var i=r[0],o=i.cx,s=i.cy,c=i.trace,u="funnelarea"===c.type;"_hasHoverLabel"in c||(c._hasHoverLabel=!1),"_hasHoverEvent"in c||(c._hasHoverEvent=!1),t.on("mouseover",(function(t){var r=e._fullLayout,f=e._fullData[c.index];if(!e._dragging&&!1!==r.hovermode){var h=f.hoverinfo;if(Array.isArray(h)&&(h=a.castHoverinfo({hoverinfo:[g.castOption(h,t.pts)],_module:c._module},r,0)),"all"===h&&(h="label+text+value+percent+name"),f.hovertemplate||"none"!==h&&"skip"!==h&&h){var p=t.rInscribed||0,d=o+t.pxmid[0]*(1-p),m=s+t.pxmid[1]*(1-p),y=r.separators,x=[];if(h&&-1!==h.indexOf("label")&&x.push(t.label),t.text=g.castOption(f.hovertext||f.text,t.pts),h&&-1!==h.indexOf("text")){var b=t.text;l.isValidTextValue(b)&&x.push(b)}t.value=t.v,t.valueLabel=g.formatPieValue(t.v,y),h&&-1!==h.indexOf("value")&&x.push(t.valueLabel),t.percent=t.v/i.vTotal,t.percentLabel=g.formatPiePercent(t.percent,y),h&&-1!==h.indexOf("percent")&&x.push(t.percentLabel);var _=f.hoverlabel,w=_.font,T=[];a.loneHover({trace:c,x0:d-p*i.r,x1:d+p*i.r,y:m,_x0:u?o+t.TL[0]:d-p*i.r,_x1:u?o+t.TR[0]:d+p*i.r,_y0:u?s+t.TL[1]:m-p*i.r,_y1:u?s+t.BL[1]:m+p*i.r,text:x.join("<br>"),name:f.hovertemplate||-1!==h.indexOf("name")?f.name:void 0,idealAlign:t.pxmid[0]<0?"left":"right",color:g.castOption(_.bgcolor,t.pts)||t.color,borderColor:g.castOption(_.bordercolor,t.pts),fontFamily:g.castOption(w.family,t.pts),fontSize:g.castOption(w.size,t.pts),fontColor:g.castOption(w.color,t.pts),nameLength:g.castOption(_.namelength,t.pts),textAlign:g.castOption(_.align,t.pts),hovertemplate:g.castOption(f.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[v(t,f)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],c._hasHoverLabel=!0}c._hasHoverEvent=!0,e.emit("plotly_hover",{points:[v(t,f)],event:n.event})}})),t.on("mouseout",(function(t){var r=e._fullLayout,i=e._fullData[c.index],o=n.select(this).datum();c._hasHoverEvent&&(t.originalEvent=n.event,e.emit("plotly_unhover",{points:[v(o,i)],event:n.event}),c._hasHoverEvent=!1),c._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),c._hasHoverLabel=!1)})),t.on("click",(function(t){var r=e._fullLayout,i=e._fullData[c.index];e._dragging||!1===r.hovermode||(e._hoverdata=[v(t,i)],a.click(e,n.event))}))}function b(t,e,r){var n=g.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=g.castOption(t._input.textfont.color,e.pts));var i=g.castOption(t.insidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.insidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:i,size:a}}function _(t,e){for(var r,n,i=0;i<t.length;i++)if((n=(r=t[i][0]).trace).title.text){var a=n.title.text;n._meta&&(a=l.templateString(a,n._meta));var o=s.tester.append("text").attr("data-notex",1).text(a).call(s.font,n.title.font).call(f.convertToTspans,e),c=s.bBox(o.node(),!0);r.titleBox={width:c.width,height:c.height},o.remove()}}function w(t,e,r){var n=r.r||e.rpx1,i=e.rInscribed;if(e.startangle===e.stopangle)return{rCenter:1-i,scale:0,rotate:0,textPosAngle:0};var a,o=e.ring,s=1===o&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,l=e.halfangle,c=e.midangle,u=r.trace.insidetextorientation,f="horizontal"===u,h="tangential"===u,p="radial"===u,d="auto"===u,m=[];if(!d){var g,v=function(r,i){if(function(t,e){var r=t.startangle,n=t.stopangle;return r>e&&e>n||r<e&&e<n}(e,r)){var s=Math.abs(r-e.startangle),l=Math.abs(r-e.stopangle),c=s<l?s:l;(a="tan"===i?k(t,n,o,c,0):T(t,n,o,c,Math.PI/2)).textPosAngle=r,m.push(a)}};if(f||h){for(g=4;g>=-4;g-=2)v(Math.PI*g,"tan");for(g=4;g>=-4;g-=2)v(Math.PI*(g+1),"tan")}if(f||p){for(g=4;g>=-4;g-=2)v(Math.PI*(g+1.5),"rad");for(g=4;g>=-4;g-=2)v(Math.PI*(g+.5),"rad")}}if(s||d||f){var y=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/y,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;m.push(a)}(d||p)&&((a=T(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,m.push(a)),(d||h)&&((a=k(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,m.push(a));for(var x=0,b=0,_=0;_<m.length;_++){var w=m[_].scale;if(b<w&&(b=w,x=_),!d&&b>=1)break}return m[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*m);var a=t.width/t.height,o=S(a,n,e,r);return{scale:2*o/t.height,rCenter:A(a,o/e),rotate:M(i)}}function k(t,e,r,n,i){e=Math.max(0,e-2*m);var a=t.height/t.width,o=S(a,n,e,r);return{scale:2*o/t.width,rCenter:A(a,o/e),rotate:M(i+Math.PI/2)}}function A(t,e){return Math.cos(e)-t*e}function M(t){return(180/Math.PI*t+720)%180-90}function S(t,e,r,n){var i=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(i*i+.5)+i),n/(Math.sqrt(t*t+n/2)+t))}function E(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function L(t,e){var r=e.pxmid[0],n=e.pxmid[1],i=t.width/2,a=t.height/2;return r<0&&(i*=-1),n<0&&(a*=-1),{scale:1,rCenter:1,rotate:0,x:i+Math.abs(a)*(i>0?1:-1)/2,y:a/(1+r*r/(n*n)),outside:!0}}function C(t,e){var r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=I(a),-1!==a.title.position.indexOf("top")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf("bottom")&&(o.y+=(1+i)*t.r);var l,c,u=(l=t.r,c=t.trace.aspectratio,l/(void 0===c?1:c)),f=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf("left")?(f+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf("center")?f*=2:-1!==a.title.position.indexOf("right")&&(f+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=f/t.titleBox.width,n=P(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function P(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function I(t){var e,r=t.pull;if(!r)return 0;if(Array.isArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function O(t,e){for(var r=[],n=0;n<t.length;n++){var i=t[n][0],a=i.trace,o=a.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);a.title.text&&"middle center"!==a.title.position&&(l-=P(i,e));var c=s/2,u=l/2;"funnelarea"!==a.type||a.scalegroup||(u/=a.aspectratio),i.r=Math.min(c,u)/(1+I(a)),i.cx=e.l+e.w*(a.domain.x[1]+a.domain.x[0])/2,i.cy=e.t+e.h*(1-a.domain.y[0])-l/2,a.title.text&&-1!==a.title.position.indexOf("bottom")&&(i.cy-=P(i,e)),a.scalegroup&&-1===r.indexOf(a.scalegroup)&&r.push(a.scalegroup)}!function(t,e){for(var r,n,i,a=0;a<e.length;a++){var o=1/0,s=e[a];for(n=0;n<t.length;n++)if(r=t[n][0],(i=r.trace).scalegroup===s){var l;if("pie"===i.type)l=r.r*r.r;else if("funnelarea"===i.type){var c,u;i.aspectratio>1?(c=r.r,u=c/i.aspectratio):(u=r.r,c=u*i.aspectratio),c*=(1+i.baseratio)/2,l=c*u}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if(r=t[n][0],(i=r.trace).scalegroup===s){var f=o*r.vTotal;"funnelarea"===i.type&&(f/=(1+i.baseratio)/2,f/=i.aspectratio),r.r=Math.sqrt(f)}}}(t,r)}function z(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function D(t,e,r){var n=t._fullLayout,i=r.trace,a=i.texttemplate,o=i.textinfo;if(!a&&o&&"none"!==o){var s,c=o.split("+"),u=function(t){return-1!==c.indexOf(t)},f=u("label"),h=u("text"),p=u("value"),d=u("percent"),m=n.separators;if(s=f?[e.label]:[],h){var v=g.getFirstFilled(i.text,e.pts);y(v)&&s.push(v)}p&&s.push(g.formatPieValue(e.v,m)),d&&s.push(g.formatPiePercent(e.v/r.vTotal,m)),e.text=s.join("<br>")}if(a){var x=l.castOption(i,e.i,"texttemplate");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:g.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:g.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,"customdata")}}(e),_=g.getFirstFilled(i.text,e.pts);(y(_)||""===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,i._meta||{})}else e.text=""}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}e.exports={plot:function(t,e){var r=t._fullLayout,a=r._size;d("pie",r),_(e,t),O(e,a);var h=l.makeTraceGroups(r._pielayer,e,"trace").each((function(e){var h=n.select(this),d=e[0],m=d.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=g.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,c="px0",u="px1";if("counterclockwise"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,c="px1",u="px0"}for(n=z(a,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[c]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=z(a,s),r.midangle=s,s+=l*r.v/2,n=z(a,s),r.stopangle=s,r[u]=n,r.largeArc=r.v>i.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),h.attr("stroke-linejoin","round"),h.each((function(){var v=n.select(this).selectAll("g.slice").data(e);v.enter().append("g").classed("slice",!0),v.exit().remove();var y=[[[],[]],[[],[]]],_=!1;v.each((function(i,a){if(i.hidden)n.select(this).selectAll("path,g").remove();else{i.pointNumber=i.i,i.curveNumber=m.index,y[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var o=d.cx,c=d.cy,u=n.select(this),h=u.selectAll("path.surface").data([i]);if(h.enter().append("path").classed("surface",!0).style({"pointer-events":"all"}),u.call(x,t,e),m.pull){var v=+g.castOption(m.pull,i.pts)||0;v>0&&(o+=v*i.pxmid[0],c+=v*i.pxmid[1])}i.cxFinal=o,i.cyFinal=c;var T=m.hole;if(i.v===d.vTotal){var k="M"+(o+i.px0[0])+","+(c+i.px0[1])+C(i.px0,i.pxmid,!0,1)+C(i.pxmid,i.px0,!0,1)+"Z";T?h.attr("d","M"+(o+T*i.px0[0])+","+(c+T*i.px0[1])+C(i.px0,i.pxmid,!1,T)+C(i.pxmid,i.px0,!1,T)+"Z"+k):h.attr("d",k)}else{var A=C(i.px0,i.px1,!0,1);if(T){var M=1-T;h.attr("d","M"+(o+T*i.px1[0])+","+(c+T*i.px1[1])+C(i.px1,i.px0,!1,T)+"l"+M*i.px0[0]+","+M*i.px0[1]+A+"Z")}else h.attr("d","M"+o+","+c+"l"+i.px0[0]+","+i.px0[1]+A+"Z")}D(t,i,d);var S=g.castOption(m.textposition,i.pts),E=u.selectAll("g.slicetext").data(i.text&&"none"!==S?[0]:[]);E.enter().append("g").classed("slicetext",!0),E.exit().remove(),E.each((function(){var u=l.ensureSingle(n.select(this),"text","",(function(t){t.attr("data-notex",1)})),h=l.ensureUniformFontSize(t,"outside"===S?function(t,e,r){var n=g.castOption(t.outsidetextfont.color,e.pts)||g.castOption(t.textfont.color,e.pts)||r.color,i=g.castOption(t.outsidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.outsidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size;return{color:n,family:i,size:a}}(m,i,r.font):b(m,i,r.font));u.text(i.text).attr({class:"slicetext",transform:"","text-anchor":"middle"}).call(s.font,h).call(f.convertToTspans,t);var v,y=s.bBox(u.node());if("outside"===S)v=L(y,i);else if(v=w(y,i,d),"auto"===S&&v.scale<1){var 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n=t("../../plots/font_attributes"),i=t("../../plots/attributes"),a=t("../../components/color/attributes"),o=t("../../components/fx/attributes"),s=t("../../plots/domain").attributes,l=t("../../plots/template_attributes").hovertemplateAttrs,c=t("../../components/colorscale/attributes"),u=t("../../plot_api/plot_template").templatedArray,f=t("../../plots/cartesian/axis_format_attributes").descriptionOnlyNumbers,h=t("../../lib/extend").extendFlat,p=t("../../plot_api/edit_types").overrideAll;(e.exports=p({hoverinfo:h({},i.hoverinfo,{flags:[],arrayOk:!1}),hoverlabel:o.hoverlabel,domain:s({name:"sankey",trace:!0}),orientation:{valType:"enumerated",values:["v","h"],dflt:"h"},valueformat:{valType:"string",dflt:".3s",description:f("value")},valuesuffix:{valType:"string",dflt:""},arrangement:{valType:"enumerated",values:["snap","perpendicular","freeform","fixed"],dflt:"snap"},textfont:n({}),customdata:void 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h={_id:"x",c2p:u.identity,_offset:r._sankey.translateX,_length:r._sankey.width},p={_id:"y",c2p:u.identity,_offset:r._sankey.translateY,_length:r._sankey.height},d={gd:t,element:o.node(),plotinfo:{id:e,xaxis:h,yaxis:p,fillRangeItems:u.noop},subplot:e,xaxes:[h],yaxes:[p],doneFnCompleted:function(r){var n,i=t._fullData[e],a=i.node.groups.slice(),o=[];function s(t){for(var e=i._sankey.graph.nodes,r=0;r<e.length;r++)if(e[r].pointNumber===t)return e[r]}for(var l=0;l<r.length;l++){var c=s(r[l].pointNumber);if(c)if(c.group){for(var u=0;u<c.childrenNodes.length;u++)o.push(c.childrenNodes[u].pointNumber);a[c.pointNumber-i.node._count]=!1}else o.push(c.pointNumber)}n=a.filter(Boolean).concat([o]),f.call("_guiRestyle",t,{"node.groups":[n]},e)},prepFn:function(t,e,r){c(t,e,r,d,i)}};l.init(d)}}r.name="sankey",r.baseLayoutAttrOverrides=n({hoverlabel:o.hoverlabel},"plot","nested"),r.plot=function(t){var e=i(t.calcdata,"sankey")[0];a(t,e),r.updateFx(t)},r.clean=function(t,e,r,n){var i=n._has&&n._has("sankey"),a=e._has&&e._has("sankey");i&&!a&&(n._paperdiv.selectAll(".sankey").remove(),n._paperdiv.selectAll(".bgsankey").remove())},r.updateFx=function(t){for(var e=0;e<t._fullData.length;e++)h(t,e)}},{"../../components/dragelement":380,"../../components/fx/layout_attributes":402,"../../lib":498,"../../lib/setcursor":519,"../../plot_api/edit_types":531,"../../plots/cartesian/select":570,"../../plots/get_data":588,"../../registry":633,"./plot":918}],914:[function(t,e,r){"use strict";var n=t("strongly-connected-components"),i=t("../../lib"),a=t("../../lib/gup").wrap,o=i.isArrayOrTypedArray,s=i.isIndex,l=t("../../components/colorscale");function c(t){var e,r=t.node,a=t.link,c=[],u=o(a.color),f=o(a.customdata),h={},p={},d=a.colorscales.length;for(e=0;e<d;e++){var m=a.colorscales[e],g=l.extractScale(m,{cLetter:"c"}),v=l.makeColorScaleFunc(g);p[m.label]=v}var y=0;for(e=0;e<a.value.length;e++)a.source[e]>y&&(y=a.source[e]),a.target[e]>y&&(y=a.target[e]);var x,b=y+1;t.node._count=b;var _=t.node.groups,w={};for(e=0;e<_.length;e++){var T=_[e];for(x=0;x<T.length;x++){var k=T[x],A=b+e;w.hasOwnProperty(k)?i.warn("Node "+k+" is already part of a group."):w[k]=A}}var M={source:[],target:[]};for(e=0;e<a.value.length;e++){var S=a.value[e],E=a.source[e],L=a.target[e];if(S>0&&s(E,b)&&s(L,b)&&(!w.hasOwnProperty(E)||!w.hasOwnProperty(L)||w[E]!==w[L])){w.hasOwnProperty(L)&&(L=w[L]),w.hasOwnProperty(E)&&(E=w[E]),L=+L,h[E=+E]=h[L]=!0;var C="";a.label&&a.label[e]&&(C=a.label[e]);var P=null;C&&p.hasOwnProperty(C)&&(P=p[C]),c.push({pointNumber:e,label:C,color:u?a.color[e]:a.color,customdata:f?a.customdata[e]:a.customdata,concentrationscale:P,source:E,target:L,value:+S}),M.source.push(E),M.target.push(L)}}var I=b+_.length,O=o(r.color),z=o(r.customdata),D=[];for(e=0;e<I;e++)if(h[e]){var R=r.label[e];D.push({group:e>b-1,childrenNodes:[],pointNumber:e,label:R,color:O?r.color[e]:r.color,customdata:z?r.customdata[e]:r.customdata})}var F=!1;return function(t,e,r){for(var a=i.init2dArray(t,0),o=0;o<Math.min(e.length,r.length);o++)if(i.isIndex(e[o],t)&&i.isIndex(r[o],t)){if(e[o]===r[o])return!0;a[e[o]].push(r[o])}return n(a).components.some((function(t){return t.length>1}))}(I,M.source,M.target)&&(F=!0),{circular:F,links:c,nodes:D,groups:_,groupLookup:w}}e.exports=function(t,e){var r=c(e);return a({circular:r.circular,_nodes:r.nodes,_links:r.links,_groups:r.groups,_groupLookup:r.groupLookup})}},{"../../components/colorscale":373,"../../lib":498,"../../lib/gup":495,"strongly-connected-components":301}],915:[function(t,e,r){"use strict";e.exports={nodeTextOffsetHorizontal:4,nodeTextOffsetVertical:3,nodePadAcross:10,sankeyIterations:50,forceIterations:5,forceTicksPerFrame:10,duration:500,ease:"linear",cn:{sankey:"sankey",sankeyLinks:"sankey-links",sankeyLink:"sankey-link",sankeyNodeSet:"sankey-node-set",sankeyNode:"sankey-node",nodeRect:"node-rect",nodeLabel:"node-label"}}},{}],916:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./attributes"),a=t("../../components/color"),o=t("tinycolor2"),s=t("../../plots/domain").defaults,l=t("../../components/fx/hoverlabel_defaults"),c=t("../../plot_api/plot_template"),u=t("../../plots/array_container_defaults");function f(t,e){function r(r,a){return n.coerce(t,e,i.link.colorscales,r,a)}r("label"),r("cmin"),r("cmax"),r("colorscale")}e.exports=function(t,e,r,h){function p(r,a){return n.coerce(t,e,i,r,a)}var d=n.extendDeep(h.hoverlabel,t.hoverlabel),m=t.node,g=c.newContainer(e,"node");function v(t,e){return n.coerce(m,g,i.node,t,e)}v("label"),v("groups"),v("x"),v("y"),v("pad"),v("thickness"),v("line.color"),v("line.width"),v("hoverinfo",t.hoverinfo),l(m,g,v,d),v("hovertemplate");var y=h.colorway;v("color",g.label.map((function(t,e){return a.addOpacity(function(t){return y[t%y.length]}(e),.8)}))),v("customdata");var x=t.link||{},b=c.newContainer(e,"link");function _(t,e){return 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function(e){return-1!==e.node.sourceLinks.indexOf(t.link)||-1!==e.node.targetLinks.indexOf(t.link)}}function v(t,e,r){e&&r&&h(r,e).selectAll("."+c.sankeyLink).filter(m(e)).call(x.bind(0,e,r,!1))}function y(t,e,r){e&&r&&h(r,e).selectAll("."+c.sankeyLink).filter(m(e)).call(b.bind(0,e,r,!1))}function x(t,e,r,n){var i=n.datum().link.label;n.style("fill-opacity",(function(t){if(!t.link.concentrationscale)return.4})),i&&h(e,t).selectAll("."+c.sankeyLink).filter((function(t){return t.link.label===i})).style("fill-opacity",(function(t){if(!t.link.concentrationscale)return.4})),r&&h(e,t).selectAll("."+c.sankeyNode).filter(g(t)).call(v)}function b(t,e,r,n){var i=n.datum().link.label;n.style("fill-opacity",(function(t){return t.tinyColorAlpha})),i&&h(e,t).selectAll("."+c.sankeyLink).filter((function(t){return t.link.label===i})).style("fill-opacity",(function(t){return t.tinyColorAlpha})),r&&h(e,t).selectAll(c.sankeyNode).filter(g(t)).call(y)}function _(t,e){var r=t.hoverlabel||{},n=i.nestedProperty(r,e).get();return!Array.isArray(n)&&n}e.exports=function(t,e){for(var r=t._fullLayout,i=r._paper,h=r._size,m=0;m<t._fullData.length;m++)if(t._fullData[m].visible&&t._fullData[m].type===c.sankey&&!t._fullData[m]._viewInitial){var g=t._fullData[m].node;t._fullData[m]._viewInitial={node:{groups:g.groups.slice(),x:g.x.slice(),y:g.y.slice()}}}var w=u(t,"source:")+" ",T=u(t,"target:")+" ",k=u(t,"concentration:")+" ",A=u(t,"incoming flow count:")+" ",M=u(t,"outgoing flow count:")+" ";o(t,i,e,{width:h.w,height:h.h,margin:{t:h.t,r:h.r,b:h.b,l:h.l}},{linkEvents:{hover:function(e,r,i){!1!==t._fullLayout.hovermode&&(n.select(e).call(x.bind(0,r,i,!0)),"skip"!==r.link.trace.link.hoverinfo&&(r.link.fullData=r.link.trace,t.emit("plotly_hover",{event:n.event,points:[r.link]})))},follow:function(e,i){if(!1!==t._fullLayout.hovermode){var o=i.link.trace.link;if("none"!==o.hoverinfo&&"skip"!==o.hoverinfo){for(var c=[],u=0,h=0;h<i.flow.links.length;h++){var m=i.flow.links[h];if("closest"!==t._fullLayout.hovermode||i.link.pointNumber===m.pointNumber){i.link.pointNumber===m.pointNumber&&(u=h),m.fullData=m.trace,o=i.link.trace.link;var g=y(m),v={valueLabel:a(i.valueFormat)(m.value)+i.valueSuffix};c.push({x:g[0],y:g[1],name:v.valueLabel,text:[m.label||"",w+m.source.label,T+m.target.label,m.concentrationscale?k+a("%0.2f")(m.flow.labelConcentration):""].filter(f).join("<br>"),color:_(o,"bgcolor")||l.addOpacity(m.color,1),borderColor:_(o,"bordercolor"),fontFamily:_(o,"font.family"),fontSize:_(o,"font.size"),fontColor:_(o,"font.color"),nameLength:_(o,"namelength"),textAlign:_(o,"align"),idealAlign:n.event.x<g[0]?"right":"left",hovertemplate:o.hovertemplate,hovertemplateLabels:v,eventData:[m]})}}s.loneHover(c,{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t,anchorIndex:u}).each((function(){i.link.concentrationscale||p(this,.65),d(this)}))}}function y(t){var e,r;t.circular?(e=(t.circularPathData.leftInnerExtent+t.circularPathData.rightInnerExtent)/2,r=t.circularPathData.verticalFullExtent):(e=(t.source.x1+t.target.x0)/2,r=(t.y0+t.y1)/2);var n=[e,r];return"v"===t.trace.orientation&&n.reverse(),n[0]+=i.parent.translateX,n[1]+=i.parent.translateY,n}},unhover:function(e,i,a){!1!==t._fullLayout.hovermode&&(n.select(e).call(b.bind(0,i,a,!0)),"skip"!==i.link.trace.link.hoverinfo&&(i.link.fullData=i.link.trace,t.emit("plotly_unhover",{event:n.event,points:[i.link]})),s.loneUnhover(r._hoverlayer.node()))},select:function(e,r){var i=r.link;i.originalEvent=n.event,t._hoverdata=[i],s.click(t,{target:!0})}},nodeEvents:{hover:function(e,r,i){!1!==t._fullLayout.hovermode&&(n.select(e).call(v,r,i),"skip"!==r.node.trace.node.hoverinfo&&(r.node.fullData=r.node.trace,t.emit("plotly_hover",{event:n.event,points:[r.node]})))},follow:function(e,i){if(!1!==t._fullLayout.hovermode){var o=i.node.trace.node;if("none"!==o.hoverinfo&&"skip"!==o.hoverinfo){var l=n.select(e).select("."+c.nodeRect),u=t._fullLayout._paperdiv.node().getBoundingClientRect(),h=l.node().getBoundingClientRect(),m=h.left-2-u.left,g=h.right+2-u.left,v=h.top+h.height/4-u.top,y={valueLabel:a(i.valueFormat)(i.node.value)+i.valueSuffix};i.node.fullData=i.node.trace,t._fullLayout._calcInverseTransform(t);var x=t._fullLayout._invScaleX,b=t._fullLayout._invScaleY,w=s.loneHover({x0:x*m,x1:x*g,y:b*v,name:a(i.valueFormat)(i.node.value)+i.valueSuffix,text:[i.node.label,A+i.node.targetLinks.length,M+i.node.sourceLinks.length].filter(f).join("<br>"),color:_(o,"bgcolor")||i.tinyColorHue,borderColor:_(o,"bordercolor"),fontFamily:_(o,"font.family"),fontSize:_(o,"font.size"),fontColor:_(o,"font.color"),nameLength:_(o,"namelength"),textAlign:_(o,"align"),idealAlign:"left",hovertemplate:o.hovertemplate,hovertemplateLabels:y,eventData:[i.node]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t});p(w,.85),d(w)}}},unhover:function(e,i,a){!1!==t._fullLayout.hovermode&&(n.select(e).call(y,i,a),"skip"!==i.node.trace.node.hoverinfo&&(i.node.fullData=i.node.trace,t.emit("plotly_unhover",{event:n.event,points:[i.node]})),s.loneUnhover(r._hoverlayer.node()))},select:function(e,r,i){var a=r.node;a.originalEvent=n.event,t._hoverdata=[a],n.select(e).call(y,r,i),s.click(t,{target:!0})}}})}},{"../../components/color":361,"../../components/fx":401,"../../lib":498,"./constants":915,"./render":919,"@plotly/d3":58}],919:[function(t,e,r){"use strict";var n=t("d3-force"),i=t("d3-interpolate").interpolateNumber,a=t("@plotly/d3"),o=t("@plotly/d3-sankey"),s=t("@plotly/d3-sankey-circular"),l=t("./constants"),c=t("tinycolor2"),u=t("../../components/color"),f=t("../../components/drawing"),h=t("../../lib"),p=h.strTranslate,d=h.strRotate,m=t("../../lib/gup"),g=m.keyFun,v=m.repeat,y=m.unwrap,x=t("../../lib/svg_text_utils"),b=t("../../registry"),_=t("../../constants/alignment"),w=_.CAP_SHIFT,T=_.LINE_SPACING;function k(t,e,r){var n,i=y(e),a=i.trace,u=a.domain,f="h"===a.orientation,p=a.node.pad,d=a.node.thickness,m=t.width*(u.x[1]-u.x[0]),g=t.height*(u.y[1]-u.y[0]),v=i._nodes,x=i._links,b=i.circular;(n=b?s.sankeyCircular().circularLinkGap(0):o.sankey()).iterations(l.sankeyIterations).size(f?[m,g]:[g,m]).nodeWidth(d).nodePadding(p).nodeId((function(t){return t.pointNumber})).nodes(v).links(x);var _,w,T,k=n();for(var A in n.nodePadding()<p&&h.warn("node.pad was reduced to ",n.nodePadding()," to fit within the figure."),i._groupLookup){var M,S=parseInt(i._groupLookup[A]);for(_=0;_<k.nodes.length;_++)if(k.nodes[_].pointNumber===S){M=k.nodes[_];break}if(M){var E={pointNumber:parseInt(A),x0:M.x0,x1:M.x1,y0:M.y0,y1:M.y1,partOfGroup:!0,sourceLinks:[],targetLinks:[]};k.nodes.unshift(E),M.childrenNodes.unshift(E)}}if(function(){for(_=0;_<k.nodes.length;_++){var t,e,r=k.nodes[_],n={};for(w=0;w<r.targetLinks.length;w++)t=(e=r.targetLinks[w]).source.pointNumber+":"+e.target.pointNumber,n.hasOwnProperty(t)||(n[t]=[]),n[t].push(e);var i=Object.keys(n);for(w=0;w<i.length;w++){var a=n[t=i[w]],o=0,s={};for(T=0;T<a.length;T++)s[(e=a[T]).label]||(s[e.label]=0),s[e.label]+=e.value,o+=e.value;for(T=0;T<a.length;T++)(e=a[T]).flow={value:o,labelConcentration:s[e.label]/o,concentration:e.value/o,links:a},e.concentrationscale&&(e.color=c(e.concentrationscale(e.flow.labelConcentration)))}var l=0;for(w=0;w<r.sourceLinks.length;w++)l+=r.sourceLinks[w].value;for(w=0;w<r.sourceLinks.length;w++)(e=r.sourceLinks[w]).concentrationOut=e.value/l;var u=0;for(w=0;w<r.targetLinks.length;w++)u+=r.targetLinks[w].value;for(w=0;w<r.targetLinks.length;w++)(e=r.targetLinks[w]).concenrationIn=e.value/u}}(),a.node.x.length&&a.node.y.length){for(_=0;_<Math.min(a.node.x.length,a.node.y.length,k.nodes.length);_++)if(a.node.x[_]&&a.node.y[_]){var L=[a.node.x[_]*m,a.node.y[_]*g];k.nodes[_].x0=L[0]-d/2,k.nodes[_].x1=L[0]+d/2;var C=k.nodes[_].y1-k.nodes[_].y0;k.nodes[_].y0=L[1]-C/2,k.nodes[_].y1=L[1]+C/2}if("snap"===a.arrangement)!function(t){t.forEach((function(t){var e,r,n,i=0,a=t.length;for(t.sort((function(t,e){return t.y0-e.y0})),n=0;n<a;++n)(e=t[n]).y0>=i||(r=i-e.y0)>1e-6&&(e.y0+=r,e.y1+=r),i=e.y1+p}))}(function(t){var e,r,n=t.map((function(t,e){return{x0:t.x0,index:e}})).sort((function(t,e){return t.x0-e.x0})),i=[],a=-1,o=-1/0;for(_=0;_<n.length;_++){var s=t[n[_].index];s.x0>o+d&&(a+=1,e=s.x0),o=s.x0,i[a]||(i[a]=[]),i[a].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return i}(v=k.nodes));n.update(k)}return{circular:b,key:r,trace:a,guid:h.randstr(),horizontal:f,width:m,height:g,nodePad:a.node.pad,nodeLineColor:a.node.line.color,nodeLineWidth:a.node.line.width,linkLineColor:a.link.line.color,linkLineWidth:a.link.line.width,valueFormat:a.valueformat,valueSuffix:a.valuesuffix,textFont:a.textfont,translateX:u.x[0]*t.width+t.margin.l,translateY:t.height-u.y[1]*t.height+t.margin.t,dragParallel:f?g:m,dragPerpendicular:f?m:g,arrangement:a.arrangement,sankey:n,graph:k,forceLayouts:{},interactionState:{dragInProgress:!1,hovered:!1}}}function A(t,e,r){var n=c(e.color),i=e.source.label+"|"+e.target.label+"__"+r;return e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:i,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:u.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkPath:M,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function M(){return function(t){if(t.link.circular)return e=t.link,r=e.width/2,n=e.circularPathData,"top"===e.circularLinkType?"M "+n.targetX+" "+(n.targetY+r)+" L"+n.rightInnerExtent+" "+(n.targetY+r)+"A"+(n.rightLargeArcRadius+r)+" "+(n.rightSmallArcRadius+r)+" 0 0 1 "+(n.rightFullExtent-r)+" "+(n.targetY-n.rightSmallArcRadius)+"L"+(n.rightFullExtent-r)+" "+n.verticalRightInnerExtent+"A"+(n.rightLargeArcRadius+r)+" "+(n.rightLargeArcRadius+r)+" 0 0 1 "+n.rightInnerExtent+" "+(n.verticalFullExtent-r)+"L"+n.leftInnerExtent+" "+(n.verticalFullExtent-r)+"A"+(n.leftLargeArcRadius+r)+" "+(n.leftLargeArcRadius+r)+" 0 0 1 "+(n.leftFullExtent+r)+" "+n.verticalLeftInnerExtent+"L"+(n.leftFullExtent+r)+" "+(n.sourceY-n.leftSmallArcRadius)+"A"+(n.leftLargeArcRadius+r)+" "+(n.leftSmallArcRadius+r)+" 0 0 1 "+n.leftInnerExtent+" "+(n.sourceY+r)+"L"+n.sourceX+" "+(n.sourceY+r)+"L"+n.sourceX+" "+(n.sourceY-r)+"L"+n.leftInnerExtent+" "+(n.sourceY-r)+"A"+(n.leftLargeArcRadius-r)+" "+(n.leftSmallArcRadius-r)+" 0 0 0 "+(n.leftFullExtent-r)+" "+(n.sourceY-n.leftSmallArcRadius)+"L"+(n.leftFullExtent-r)+" "+n.verticalLeftInnerExtent+"A"+(n.leftLargeArcRadius-r)+" "+(n.leftLargeArcRadius-r)+" 0 0 0 "+n.leftInnerExtent+" "+(n.verticalFullExtent+r)+"L"+n.rightInnerExtent+" "+(n.verticalFullExtent+r)+"A"+(n.rightLargeArcRadius-r)+" "+(n.rightLargeArcRadius-r)+" 0 0 0 "+(n.rightFullExtent+r)+" "+n.verticalRightInnerExtent+"L"+(n.rightFullExtent+r)+" "+(n.targetY-n.rightSmallArcRadius)+"A"+(n.rightLargeArcRadius-r)+" "+(n.rightSmallArcRadius-r)+" 0 0 0 "+n.rightInnerExtent+" "+(n.targetY-r)+"L"+n.targetX+" 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e.group&&(s=h.randstr()),e.trace=t.trace,e.curveNumber=t.trace.index,{index:e.pointNumber,key:s,partOfGroup:e.partOfGroup||!1,group:e.group,traceId:t.key,trace:t.trace,node:e,nodePad:t.nodePad,nodeLineColor:t.nodeLineColor,nodeLineWidth:t.nodeLineWidth,textFont:t.textFont,size:t.horizontal?t.height:t.width,visibleWidth:Math.ceil(a),visibleHeight:o,zoneX:-n,zoneY:-i,zoneWidth:a+2*n,zoneHeight:o+2*i,labelY:t.horizontal?e.dy/2+1:e.dx/2+1,left:1===e.originalLayer,sizeAcross:t.width,forceLayouts:t.forceLayouts,horizontal:t.horizontal,darkBackground:r.getBrightness()<=128,tinyColorHue:u.tinyRGB(r),tinyColorAlpha:r.getAlpha(),valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,graph:t.graph,arrangement:t.arrangement,uniqueNodeLabelPathId:[t.guid,t.key,s].join("_"),interactionState:t.interactionState,figure:t}}function E(t){t.attr("transform",(function(t){return p(t.node.x0.toFixed(3),t.node.y0.toFixed(3))}))}function L(t){t.call(E)}function 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y={padded:!0},x={padded:!0};s&&(y.ppad=x.ppad=s);var b=c<2||i[0]!==i[c-1]||o[0]!==o[c-1];b&&("tozerox"===v||"tonextx"===v&&(p||"h"===d))?y.tozero=!0:(e.error_y||{}).visible||"tonexty"!==v&&"tozeroy"!==v&&(l.hasMarkers(e)||l.hasText(e))||(y.padded=!1,y.ppad=0),b&&("tozeroy"===v||"tonexty"===v&&(p||"v"===d))?x.tozero=!0:"tonextx"!==v&&"tozerox"!==v||(x.padded=!1),f&&(e._extremes[f]=a.findExtremes(r,i,y)),h&&(e._extremes[h]=a.findExtremes(n,o,x))}function p(t,e){if(l.hasMarkers(t)){var r,n=t.marker,o=1.6*(t.marker.sizeref||1);if(r="area"===t.marker.sizemode?function(t){return Math.max(Math.sqrt((t||0)/o),3)}:function(t){return Math.max((t||0)/o,3)},i.isArrayOrTypedArray(n.size)){var s={type:"linear"};a.setConvert(s);for(var c=s.makeCalcdata(t.marker,"size"),u=new Array(e),f=0;f<e;f++)u[f]=r(c[f]);return u}return r(n.size)}}function d(t,e){var r=m(e),n=t._firstScatter;n[r]||(n[r]=e.uid)}function m(t){var e=t.stackgroup;return t.xaxis+t.yaxis+t.type+(e?"-"+e:"")}function g(t,e,r,n){var 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n=t("../../registry"),i=t("../../lib"),a=t("../scatter/subtypes"),o=t("../scatter/marker_defaults"),s=t("../scatter/line_defaults"),l=t("../scatter/text_defaults"),c=t("./attributes");e.exports=function(t,e,r,u){function f(r,n){return i.coerce(t,e,c,r,n)}if(function(t,e,r,i){var a=0,o=r("x"),s=r("y"),l=r("z");n.getComponentMethod("calendars","handleTraceDefaults")(t,e,["x","y","z"],i),o&&s&&l&&(a=Math.min(o.length,s.length,l.length),e._length=e._xlength=e._ylength=e._zlength=a);return a}(t,e,f,u)){f("text"),f("hovertext"),f("hovertemplate"),f("xhoverformat"),f("yhoverformat"),f("zhoverformat"),f("mode"),a.hasLines(e)&&(f("connectgaps"),s(t,e,r,u,f)),a.hasMarkers(e)&&o(t,e,r,u,f,{noSelect:!0}),a.hasText(e)&&(f("texttemplate"),l(t,e,u,f,{noSelect:!0}));var h=(e.line||{}).color,p=(e.marker||{}).color;f("surfaceaxis")>=0&&f("surfacecolor",h||p);for(var d=["x","y","z"],m=0;m<3;++m){var g="projection."+d[m];f(g+".show")&&(f(g+".opacity"),f(g+".scale"))}var 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n=t("../../lib"),i=t("../scatter/constants"),a=t("../scatter/subtypes"),o=t("../scatter/marker_defaults"),s=t("../scatter/line_defaults"),l=t("../scatter/line_shape_defaults"),c=t("../scatter/text_defaults"),u=t("../scatter/fillcolor_defaults"),f=t("./attributes");e.exports=function(t,e,r,h){function p(r,i){return n.coerce(t,e,f,r,i)}p("carpet"),e.xaxis="x",e.yaxis="y";var d=p("a"),m=p("b"),g=Math.min(d.length,m.length);if(g){e._length=g,p("text"),p("texttemplate"),p("hovertext"),p("mode",g<i.PTS_LINESONLY?"lines+markers":"lines"),a.hasLines(e)&&(s(t,e,r,h,p),l(t,e,p),p("connectgaps")),a.hasMarkers(e)&&o(t,e,r,h,p,{gradient:!0}),a.hasText(e)&&c(t,e,h,p);var v=[];(a.hasMarkers(e)||a.hasText(e))&&(p("marker.maxdisplayed"),v.push("points")),p("fill"),"none"!==e.fill&&(u(t,e,r,p),a.hasLines(e)||l(t,e,p)),"tonext"!==e.fill&&"toself"!==e.fill||v.push("fills"),"fills"!==p("hoveron",v.join("+")||"points")&&p("hovertemplate"),n.coerceSelectionMarkerOpacity(e,p)}else 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0;var p=s.trace,d=p._carpet,m=p._module.formatLabels(h,p);s.yLabel=m.yLabel,delete s.text;var g=[];if(!p.hovertemplate){var v=(h.hi||p.hoverinfo).split("+");-1!==v.indexOf("all")&&(v=["a","b","text"]),-1!==v.indexOf("a")&&y(d.aaxis,h.a),-1!==v.indexOf("b")&&y(d.baxis,h.b),g.push("y: "+s.yLabel),-1!==v.indexOf("text")&&i(h,p,g),s.extraText=g.join("<br>")}return o}function y(t,e){var r;r=t.labelprefix&&t.labelprefix.length>0?t.labelprefix.replace(/ = $/,""):t._hovertitle,g.push(r+": "+e.toFixed(3)+t.labelsuffix)}}},{"../../lib":498,"../scatter/hover":933}],962:[function(t,e,r){"use 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s,l,c,u=r[0][0].carpet,f={xaxis:i.getFromId(t,u.xaxis||"x"),yaxis:i.getFromId(t,u.yaxis||"y"),plot:e.plot};for(n(t,f,r,o),s=0;s<r.length;s++)l=r[s][0].trace,c=o.selectAll("g.trace"+l.uid+" .js-line"),a.setClipUrl(c,r[s][0].carpet._clipPathId,t)}},{"../../components/drawing":383,"../../plots/cartesian/axes":549,"../scatter/plot":943}],964:[function(t,e,r){"use strict";var n=t("../../plots/template_attributes").hovertemplateAttrs,i=t("../../plots/template_attributes").texttemplateAttrs,a=t("../scatter/attributes"),o=t("../../plots/attributes"),s=t("../../components/colorscale/attributes"),l=t("../../components/drawing/attributes").dash,c=t("../../lib/extend").extendFlat,u=t("../../plot_api/edit_types").overrideAll,f=a.marker,h=a.line,p=f.line;e.exports=u({lon:{valType:"data_array"},lat:{valType:"data_array"},locations:{valType:"data_array"},locationmode:{valType:"enumerated",values:["ISO-3","USA-states","country 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n;if(f.hasText(e)&&(n.text=y(t,e),n.textSel=_(t,e,e.selected),n.textUnsel=_(t,e,e.unselected)),f.hasMarkers(e)&&(n.marker=x(e),n.markerSel=b(e,e.selected),n.markerUnsel=b(e,e.unselected),!e.unselected&&s.isArrayOrTypedArray(e.marker.opacity))){var a=e.marker.opacity;for(n.markerUnsel.opacity=new Array(a.length),r=0;r<a.length;r++)n.markerUnsel.opacity[r]=m*a[r]}if(f.hasLines(e)){n.line={overlay:!0,thickness:e.line.width*i,color:e.line.color,opacity:e.opacity};var o=(d.DASHES[e.line.dash]||[1]).slice();for(r=0;r<o.length;++r)o[r]*=e.line.width*i;n.line.dashes=o}return e.error_x&&e.error_x.visible&&(n.errorX=w(e,e.error_x,i)),e.error_y&&e.error_y.visible&&(n.errorY=w(e,e.error_y,i)),e.fill&&"none"!==e.fill&&(n.fill={closed:!0,fill:e.fillcolor,thickness:0}),n},markerStyle:x,markerSelection:b,linePositions:function(t,e,r){var n,i,a=r.length,o=a/2;if(f.hasLines(e)&&o)if("hv"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i+2],r[2*i+1]));n.push(r[a-2],r[a-1])}else if("hvh"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var s=(r[2*i]+r[2*i+2])/2;n.push(r[2*i],r[2*i+1],s,r[2*i+1],s,r[2*i+3])}n.push(r[a-2],r[a-1])}else if("vhv"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var l=(r[2*i+1]+r[2*i+3])/2;n.push(r[2*i],r[2*i+1],r[2*i],l,r[2*i+2],l)}n.push(r[a-2],r[a-1])}else if("vh"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+3]));n.push(r[a-2],r[a-1])}else n=r;var c=!1;for(i=0;i<n.length;i++)if(isNaN(n[i])){c=!0;break}var u=c||n.length>d.TOO_MANY_POINTS||f.hasMarkers(e)?"rect":"round";if(c&&e.connectgaps){var h=n[0],p=n[1];for(i=0;i<n.length;i+=2)isNaN(n[i])||isNaN(n[i+1])?(n[i]=h,n[i+1]=p):(h=n[i],p=n[i+1])}return{join:u,positions:n}},errorBarPositions:function(t,e,r,i,a){var s=o.getComponentMethod("errorbars","makeComputeError"),l=c.getFromId(t,e.xaxis),u=c.getFromId(t,e.yaxis),f=r.length/2,h={};function p(t,i){var a=i._id.charAt(0),o=e["error_"+a];if(o&&o.visible&&("linear"===i.type||"log"===i.type)){for(var l=s(o),c={x:0,y:1}[a],u={x:[0,1,2,3],y:[2,3,0,1]}[a],p=new Float64Array(4*f),d=1/0,m=-1/0,g=0,v=0;g<f;g++,v+=4){var y=t[g];if(n(y)){var x=r[2*g+c],b=l(y,g),_=b[0],w=b[1];if(n(_)&&n(w)){var T=y-_,k=y+w;p[v+u[0]]=x-i.c2l(T),p[v+u[1]]=i.c2l(k)-x,p[v+u[2]]=0,p[v+u[3]]=0,d=Math.min(d,y-_),m=Math.max(m,y+w)}}}h[a]={positions:r,errors:p,_bnds:[d,m]}}}return p(i,l),p(a,u),h},textPosition:function(t,e,r,n){var i,a=e._length,o={};if(f.hasMarkers(e)){var s=r.font,l=r.align,c=r.baseline;for(o.offset=new Array(a),i=0;i<a;i++){var u=n.sizes?n.sizes[i]:n.size,h=Array.isArray(s)?s[i].size:s.size,p=Array.isArray(l)?l.length>1?l[i]:l[0]:l,d=Array.isArray(c)?c.length>1?c[i]:c[0]:c,m=g[p],v=g[d],y=u?u/.8+1:0,x=-v*y-.5*v;o.offset[i]=[m*y/h,x/h]}}return o}}},{"../../components/drawing":383,"../../components/fx/helpers":397,"../../constants/interactions":473,"../../lib":498,"../../lib/gl_format_color":494,"../../plots/cartesian/axis_ids":553,"../../registry":633,"../scatter/make_bubble_size_func":939,"../scatter/subtypes":947,"./constants":977,"./helpers":982,"color-normalize":84,"fast-isnumeric":185,"svg-path-sdf":305}],979:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../registry"),a=t("./helpers"),o=t("./attributes"),s=t("../scatter/constants"),l=t("../scatter/subtypes"),c=t("../scatter/xy_defaults"),u=t("../scatter/period_defaults"),f=t("../scatter/marker_defaults"),h=t("../scatter/line_defaults"),p=t("../scatter/fillcolor_defaults"),d=t("../scatter/text_defaults");e.exports=function(t,e,r,m){function g(r,i){return n.coerce(t,e,o,r,i)}var v=!!t.marker&&a.isOpenSymbol(t.marker.symbol),y=l.isBubble(t),x=c(t,e,m,g);if(x){u(t,e,m,g),g("xhoverformat"),g("yhoverformat");var b=x<s.PTS_LINESONLY?"lines+markers":"lines";g("text"),g("hovertext"),g("hovertemplate"),g("mode",b),l.hasLines(e)&&(g("connectgaps"),h(t,e,r,m,g),g("line.shape")),l.hasMarkers(e)&&(f(t,e,r,m,g),g("marker.line.width",v||y?1:0)),l.hasText(e)&&(g("texttemplate"),d(t,e,m,g));var _=(e.line||{}).color,w=(e.marker||{}).color;g("fill"),"none"!==e.fill&&p(t,e,r,g);var T=i.getComponentMethod("errorbars","supplyDefaults");T(t,e,_||w||r,{axis:"y"}),T(t,e,_||w||r,{axis:"x",inherit:"y"}),n.coerceSelectionMarkerOpacity(e,g)}else e.visible=!1}},{"../../lib":498,"../../registry":633,"../scatter/constants":926,"../scatter/fillcolor_defaults":930,"../scatter/line_defaults":935,"../scatter/marker_defaults":941,"../scatter/period_defaults":942,"../scatter/subtypes":947,"../scatter/text_defaults":948,"../scatter/xy_defaults":949,"./attributes":974,"./helpers":982}],980:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../components/color"),a=t("../../constants/interactions").DESELECTDIM;e.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,c=l._scene,u=l.index,f=c.selectBatch[u],h=c.unselectBatch[u],p=c.textOptions[u],d=c.textSelectedOptions[u]||{},m=c.textUnselectedOptions[u]||{},g=n.extendFlat({},p);if(f.length||h.length){var v=d.color,y=m.color,x=p.color,b=Array.isArray(x);for(g.color=new Array(s._length),e=0;e<f.length;e++)r=f[e],g.color[r]=v||(b?x[r]:x);for(e=0;e<h.length;e++){r=h[e];var _=b?x[r]:x;g.color[r]=y||(v?_:i.addOpacity(_,a))}}c.glText[u].update(g)}}},{"../../components/color":361,"../../constants/interactions":473,"../../lib":498}],981:[function(t,e,r){"use strict";var n=t("../scatter/format_labels");e.exports=function(t,e,r){var i=t.i;return"x"in t||(t.x=e._x[i]),"y"in t||(t.y=e._y[i]),n(t,e,r)}},{"../scatter/format_labels":931}],982:[function(t,e,r){"use strict";var n=t("./constants");r.isOpenSymbol=function(t){return"string"==typeof t?n.OPEN_RE.test(t):t%200>100},r.isDotSymbol=function(t){return"string"==typeof t?n.DOT_RE.test(t):t>200}},{"./constants":977}],983:[function(t,e,r){"use strict";var n=t("../../registry"),i=t("../../lib"),a=t("../scatter/get_trace_color");function o(t,e,r,o){var s=t.xa,l=t.ya,c=t.distance,u=t.dxy,f=t.index,h={pointNumber:f,x:e[f],y:r[f]};h.tx=Array.isArray(o.text)?o.text[f]:o.text,h.htx=Array.isArray(o.hovertext)?o.hovertext[f]:o.hovertext,h.data=Array.isArray(o.customdata)?o.customdata[f]:o.customdata,h.tp=Array.isArray(o.textposition)?o.textposition[f]:o.textposition;var p=o.textfont;p&&(h.ts=i.isArrayOrTypedArray(p.size)?p.size[f]:p.size,h.tc=Array.isArray(p.color)?p.color[f]:p.color,h.tf=Array.isArray(p.family)?p.family[f]:p.family);var d=o.marker;d&&(h.ms=i.isArrayOrTypedArray(d.size)?d.size[f]:d.size,h.mo=i.isArrayOrTypedArray(d.opacity)?d.opacity[f]:d.opacity,h.mx=i.isArrayOrTypedArray(d.symbol)?d.symbol[f]:d.symbol,h.mc=i.isArrayOrTypedArray(d.color)?d.color[f]:d.color);var m=d&&d.line;m&&(h.mlc=Array.isArray(m.color)?m.color[f]:m.color,h.mlw=i.isArrayOrTypedArray(m.width)?m.width[f]:m.width);var g=d&&d.gradient;g&&"none"!==g.type&&(h.mgt=Array.isArray(g.type)?g.type[f]:g.type,h.mgc=Array.isArray(g.color)?g.color[f]:g.color);var v=s.c2p(h.x,!0),y=l.c2p(h.y,!0),x=h.mrc||1,b=o.hoverlabel;b&&(h.hbg=Array.isArray(b.bgcolor)?b.bgcolor[f]:b.bgcolor,h.hbc=Array.isArray(b.bordercolor)?b.bordercolor[f]:b.bordercolor,h.hts=i.isArrayOrTypedArray(b.font.size)?b.font.size[f]:b.font.size,h.htc=Array.isArray(b.font.color)?b.font.color[f]:b.font.color,h.htf=Array.isArray(b.font.family)?b.font.family[f]:b.font.family,h.hnl=i.isArrayOrTypedArray(b.namelength)?b.namelength[f]:b.namelength);var _=o.hoverinfo;_&&(h.hi=Array.isArray(_)?_[f]:_);var w=o.hovertemplate;w&&(h.ht=Array.isArray(w)?w[f]:w);var T={};T[t.index]=h;var k=o._origX,A=o._origY,M=i.extendFlat({},t,{color:a(o,h),x0:v-x,x1:v+x,xLabelVal:k?k[f]:h.x,y0:y-x,y1:y+x,yLabelVal:A?A[f]:h.y,cd:T,distance:c,spikeDistance:u,hovertemplate:h.ht});return h.htx?M.text=h.htx:h.tx?M.text=h.tx:o.text&&(M.text=o.text),i.fillText(h,o,M),n.getComponentMethod("errorbars","hoverInfo")(h,o,M),M}e.exports={hoverPoints:function(t,e,r,n){var i,a,s,l,c,u,f,h,p,d,m=t.cd,g=m[0].t,v=m[0].trace,y=t.xa,x=t.ya,b=g.x,_=g.y,w=y.c2p(e),T=x.c2p(r),k=t.distance;if(g.tree){var A=y.p2c(w-k),M=y.p2c(w+k),S=x.p2c(T-k),E=x.p2c(T+k);i="x"===n?g.tree.range(Math.min(A,M),Math.min(x._rl[0],x._rl[1]),Math.max(A,M),Math.max(x._rl[0],x._rl[1])):g.tree.range(Math.min(A,M),Math.min(S,E),Math.max(A,M),Math.max(S,E))}else i=g.ids;var L=k;if("x"===n){var C=!!v.xperiodalignment,P=!!v.yperiodalignment;for(u=0;u<i.length;u++){if(l=b[a=i[u]],f=Math.abs(y.c2p(l)-w),C){var I=y.c2p(v._xStarts[a]),O=y.c2p(v._xEnds[a]);f=w>=Math.min(I,O)&&w<=Math.max(I,O)?0:1/0}if(f<L){if(L=f,c=_[a],h=x.c2p(c)-T,P){var z=x.c2p(v._yStarts[a]),D=x.c2p(v._yEnds[a]);h=T>=Math.min(z,D)&&T<=Math.max(z,D)?0:1/0}d=Math.sqrt(f*f+h*h),s=i[u]}}}else for(u=i.length-1;u>-1;u--)l=b[a=i[u]],c=_[a],f=y.c2p(l)-w,h=x.c2p(c)-T,(p=Math.sqrt(f*f+h*h))<L&&(L=d=p,s=a);return t.index=s,t.distance=L,t.dxy=d,void 0===s?[t]:[o(t,b,_,v)]},calcHover:o}},{"../../lib":498,"../../registry":633,"../scatter/get_trace_color":932}],984:[function(t,e,r){arguments[4][891][0].apply(r,arguments)},{"./base_index":975,"./plot":985,dup:891}],985:[function(t,e,r){"use strict";var n=t("regl-scatter2d"),i=t("regl-line2d"),a=t("regl-error2d"),o=t("gl-text"),s=t("../../lib"),l=t("../../components/dragelement/helpers").selectMode,c=t("../../lib/prepare_regl"),u=t("../scatter/subtypes"),f=t("../scatter/link_traces"),h=t("./edit_style").styleTextSelection,p={};function d(t,e,r,n){var i=t._size,a=t.width*n,o=t.height*n,s=i.l*n,l=i.b*n,c=i.r*n,u=i.t*n,f=i.w*n,h=i.h*n;return[s+e.domain[0]*f,l+r.domain[0]*h,a-c-(1-e.domain[1])*f,o-u-(1-r.domain[1])*h]}(e.exports=function(t,e,r){if(r.length){var m,g,v=t._fullLayout,y=e._scene,x=e.xaxis,b=e.yaxis;if(y)if(c(t,["ANGLE_instanced_arrays","OES_element_index_uint"],p)){var _=y.count,w=v._glcanvas.data()[0].regl;if(f(t,e,r),y.dirty){if(!0===y.error2d&&(y.error2d=a(w)),!0===y.line2d&&(y.line2d=i(w)),!0===y.scatter2d&&(y.scatter2d=n(w)),!0===y.fill2d&&(y.fill2d=i(w)),!0===y.glText)for(y.glText=new Array(_),m=0;m<_;m++)y.glText[m]=new o(w);if(y.glText){if(_>y.glText.length){var T=_-y.glText.length;for(m=0;m<T;m++)y.glText.push(new o(w))}else if(_<y.glText.length){var k=y.glText.length-_;y.glText.splice(_,k).forEach((function(t){t.destroy()}))}for(m=0;m<_;m++)y.glText[m].update(y.textOptions[m])}if(y.line2d&&(y.line2d.update(y.lineOptions),y.lineOptions=y.lineOptions.map((function(t){if(t&&t.positions){for(var e=t.positions,r=0;r<e.length&&(isNaN(e[r])||isNaN(e[r+1]));)r+=2;for(var n=e.length-2;n>r&&(isNaN(e[n])||isNaN(e[n+1]));)n-=2;t.positions=e.slice(r,n+2)}return t})),y.line2d.update(y.lineOptions)),y.error2d){var A=(y.errorXOptions||[]).concat(y.errorYOptions||[]);y.error2d.update(A)}y.scatter2d&&y.scatter2d.update(y.markerOptions),y.fillOrder=s.repeat(null,_),y.fill2d&&(y.fillOptions=y.fillOptions.map((function(t,e){var n=r[e];if(t&&n&&n[0]&&n[0].trace){var i,a,o=n[0],s=o.trace,l=o.t,c=y.lineOptions[e],u=[];s._ownfill&&u.push(e),s._nexttrace&&u.push(e+1),u.length&&(y.fillOrder[e]=u);var f,h,p=[],d=c&&c.positions||l.positions;if("tozeroy"===s.fill){for(f=0;f<d.length&&isNaN(d[f+1]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h+1]);)h-=2;0!==d[f+1]&&(p=[d[f],0]),p=p.concat(d.slice(f,h+2)),0!==d[h+1]&&(p=p.concat([d[h],0]))}else if("tozerox"===s.fill){for(f=0;f<d.length&&isNaN(d[f]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h]);)h-=2;0!==d[f]&&(p=[0,d[f+1]]),p=p.concat(d.slice(f,h+2)),0!==d[h]&&(p=p.concat([0,d[h+1]]))}else 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B=i.extendFlat({},g,m.unselectedOptions,w),N=i.extendFlat({},g,m.selectedOptions,w);m.matrix.update(B,N),P=!1}}else d.xpx=d.ypx=null;if(P){var j=i.extendFlat({},g,w);m.matrix.update(j,null)}}}e.exports=function(t,e,r){if(r.length)for(var n=0;n<r.length;n++)s(t,r[n][0])}},{"../../components/dragelement/helpers":379,"../../lib":498,"../../plots/cartesian/axis_ids":553,"regl-splom":277}],1037:[function(t,e,r){"use strict";var n=t("../../lib");e.exports=function(t,e){var r=t._fullLayout,i=e.uid,a=r._splomScenes;a||(a=r._splomScenes={});var o={dirty:!0,selectBatch:[],unselectBatch:[]},s=a[e.uid];return 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T=l.matrixOptions;return b.length||_.length?l.selectBatch.length||l.unselectBatch.length||l.matrix.update(l.unselectedOptions,n.extendFlat({},T,l.selectedOptions,l.viewOpts)):l.matrix.update(T,null),l.selectBatch=b,l.unselectBatch=_,h}},{"../../lib":498,"../scatter/subtypes":947,"./helpers":1033}],1039:[function(t,e,r){"use strict";var n=t("../../components/colorscale/attributes"),i=t("../../plots/cartesian/axis_format_attributes").axisHoverFormat,a=t("../../plots/template_attributes").hovertemplateAttrs,o=t("../mesh3d/attributes"),s=t("../../plots/attributes"),l=t("../../lib/extend").extendFlat,c={x:{valType:"data_array",editType:"calc+clearAxisTypes"},y:{valType:"data_array",editType:"calc+clearAxisTypes"},z:{valType:"data_array",editType:"calc+clearAxisTypes"},u:{valType:"data_array",editType:"calc"},v:{valType:"data_array",editType:"calc"},w:{valType:"data_array",editType:"calc"},starts:{x:{valType:"data_array",editType:"calc"},y:{valType:"data_array",editType:"calc"},z:{valType:"data_array",editType:"calc"},editType:"calc"},maxdisplayed:{valType:"integer",min:0,dflt:1e3,editType:"calc"},sizeref:{valType:"number",editType:"calc",min:0,dflt:1},text:{valType:"string",dflt:"",editType:"calc"},hovertext:{valType:"string",dflt:"",editType:"calc"},hovertemplate:a({editType:"calc"},{keys:["tubex","tubey","tubez","tubeu","tubev","tubew","norm","divergence"]}),uhoverformat:i("u",1),vhoverformat:i("v",1),whoverformat:i("w",1),xhoverformat:i("x"),yhoverformat:i("y"),zhoverformat:i("z"),showlegend:l({},s.showlegend,{dflt:!1})};l(c,n("",{colorAttr:"u/v/w 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e,r,i,a,s,l,c,u,f,h,p,d,m=t._x,g=t._y,v=t._z,y=t._len,x=-1/0,b=1/0,_=-1/0,w=1/0,T=-1/0,k=1/0,A="";for(y&&(c=m[0],f=g[0],p=v[0]),y>1&&(u=m[y-1],h=g[y-1],d=v[y-1]),e=0;e<y;e++)x=Math.max(x,m[e]),b=Math.min(b,m[e]),_=Math.max(_,g[e]),w=Math.min(w,g[e]),T=Math.max(T,v[e]),k=Math.min(k,v[e]),a||m[e]===c||(a=!0,A+="x"),s||g[e]===f||(s=!0,A+="y"),l||v[e]===p||(l=!0,A+="z");a||(A+="x"),s||(A+="y"),l||(A+="z");var M=o(t._x),S=o(t._y),E=o(t._z);A=(A=(A=A.replace("x",(c>u?"-":"+")+"x")).replace("y",(f>h?"-":"+")+"y")).replace("z",(p>d?"-":"+")+"z");var L=function(){y=0,M=[],S=[],E=[]};(!y||y<M.length*S.length*E.length)&&L();var C=function(t){return"x"===t?m:"y"===t?g:v},P=function(t){return"x"===t?M:"y"===t?S:E},I=function(t){return t[y-1]<t[0]?-1:1},O=C(A[1]),z=C(A[3]),D=C(A[5]),R=P(A[1]).length,F=P(A[3]).length,B=P(A[5]).length,N=!1,j=function(t,e,r){return R*(F*t+e)+r},U=I(C(A[1])),V=I(C(A[3])),H=I(C(A[5]));for(e=0;e<B-1;e++){for(r=0;r<F-1;r++){for(i=0;i<R-1;i++){var q=j(e,r,i),G=j(e,r,i+1),Y=j(e,r+1,i),W=j(e+1,r,i);if(O[q]*U<O[G]*U&&z[q]*V<z[Y]*V&&D[q]*H<D[W]*H||(N=!0),N)break}if(N)break}if(N)break}return N&&(n.warn("Encountered arbitrary coordinates! 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v=n[u];r.xMax=Math.max(r.xMax,v),r.xMin=Math.min(r.xMin,v);var y=o[u];r.yMax=Math.max(r.yMax,y),r.yMin=Math.min(r.yMin,y);var x=l[u];r.zMax=Math.max(r.zMax,x),r.zMin=Math.min(r.zMin,x)}e._slen=c,e._normMax=f,e._xbnds=[r.xMin,r.xMax],e._ybnds=[r.yMin,r.yMax],e._zbnds=[r.zMin,r.zMax]},filter:s,processGrid:a}},{"../../components/colorscale/calc":369,"../../lib":498}],1041:[function(t,e,r){"use strict";var n=t("../../../stackgl_modules").gl_streamtube3d,i=n.createTubeMesh,a=t("../../lib"),o=t("../../lib/gl_format_color").parseColorScale,s=t("../../components/colorscale").extractOpts,l=t("../../plots/gl3d/zip3"),c={xaxis:0,yaxis:1,zaxis:2};function u(t,e){this.scene=t,this.uid=e,this.mesh=null,this.data=null}var f=u.prototype;function h(t){var e=t.length;return e>2?t.slice(1,e-1):2===e?[(t[0]+t[1])/2]:t}function p(t){var e=t.length;return 1===e?[.5,.5]:[t[1]-t[0],t[e-1]-t[e-2]]}function d(t,e){var r=t.fullSceneLayout,i=t.dataScale,u=e._len,f={};function d(t,e){var n=r[e],o=i[c[e]];return a.simpleMap(t,(function(t){return n.d2l(t)*o}))}if(f.vectors=l(d(e._u,"xaxis"),d(e._v,"yaxis"),d(e._w,"zaxis"),u),!u)return{positions:[],cells:[]};var m=d(e._Xs,"xaxis"),g=d(e._Ys,"yaxis"),v=d(e._Zs,"zaxis");if(f.meshgrid=[m,g,v],f.gridFill=e._gridFill,e._slen)f.startingPositions=l(d(e._startsX,"xaxis"),d(e._startsY,"yaxis"),d(e._startsZ,"zaxis"));else{for(var y=g[0],x=h(m),b=h(v),_=new Array(x.length*b.length),w=0,T=0;T<x.length;T++)for(var k=0;k<b.length;k++)_[w++]=[x[T],y,b[k]];f.startingPositions=_}f.colormap=o(e),f.tubeSize=e.sizeref,f.maxLength=e.maxdisplayed;var A=d(e._xbnds,"xaxis"),M=d(e._ybnds,"yaxis"),S=d(e._zbnds,"zaxis"),E=p(m),L=p(g),C=p(v),P=[[A[0]-E[0],M[0]-L[0],S[0]-C[0]],[A[1]+E[1],M[1]+L[1],S[1]+C[1]]],I=n(f,P),O=s(e);I.vertexIntensityBounds=[O.min/e._normMax,O.max/e._normMax];var z=e.lightposition;return I.lightPosition=[z.x,z.y,z.z],I.ambient=e.lighting.ambient,I.diffuse=e.lighting.diffuse,I.specular=e.lighting.specular,I.roughness=e.lighting.roughness,I.fresnel=e.lighting.fresnel,I.opacity=e.opacity,e._pad=I.tubeScale*e.sizeref*2,I}f.handlePick=function(t){var e=this.scene.fullSceneLayout,r=this.scene.dataScale;function n(t,n){var i=e[n],a=r[c[n]];return i.l2c(t)/a}if(t.object===this.mesh){var i=t.data.position,a=t.data.velocity;return t.traceCoordinate=[n(i[0],"xaxis"),n(i[1],"yaxis"),n(i[2],"zaxis"),n(a[0],"xaxis"),n(a[1],"yaxis"),n(a[2],"zaxis"),t.data.intensity*this.data._normMax,t.data.divergence],t.textLabel=this.data.hovertext||this.data.text,!0}},f.update=function(t){this.data=t;var e=d(this.scene,t);this.mesh.update(e)},f.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},e.exports=function(t,e){var r=t.glplot.gl,n=d(t,e),a=i(r,n),o=new u(t,e.uid);return o.mesh=a,o.data=e,a._trace=o,t.glplot.add(a),o}},{"../../../stackgl_modules":1119,"../../components/colorscale":373,"../../lib":498,"../../lib/gl_format_color":494,"../../plots/gl3d/zip3":604}],1042:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../components/colorscale/defaults"),a=t("./attributes");e.exports=function(t,e,r,o){function s(r,i){return n.coerce(t,e,a,r,i)}var l=s("u"),c=s("v"),u=s("w"),f=s("x"),h=s("y"),p=s("z");l&&l.length&&c&&c.length&&u&&u.length&&f&&f.length&&h&&h.length&&p&&p.length?(s("starts.x"),s("starts.y"),s("starts.z"),s("maxdisplayed"),s("sizeref"),s("lighting.ambient"),s("lighting.diffuse"),s("lighting.specular"),s("lighting.roughness"),s("lighting.fresnel"),s("lightposition.x"),s("lightposition.y"),s("lightposition.z"),i(t,e,o,s,{prefix:"",cLetter:"c"}),s("text"),s("hovertext"),s("hovertemplate"),s("uhoverformat"),s("vhoverformat"),s("whoverformat"),s("xhoverformat"),s("yhoverformat"),s("zhoverformat"),e._length=null):e.visible=!1}},{"../../components/colorscale/defaults":371,"../../lib":498,"./attributes":1039}],1043:[function(t,e,r){"use strict";e.exports={moduleType:"trace",name:"streamtube",basePlotModule:t("../../plots/gl3d"),categories:["gl3d","showLegend"],attributes:t("./attributes"),supplyDefaults:t("./defaults"),colorbar:{min:"cmin",max:"cmax"},calc:t("./calc").calc,plot:t("./convert"),eventData:function(t,e){return t.tubex=t.x,t.tubey=t.y,t.tubez=t.z,t.tubeu=e.traceCoordinate[3],t.tubev=e.traceCoordinate[4],t.tubew=e.traceCoordinate[5],t.norm=e.traceCoordinate[6],t.divergence=e.traceCoordinate[7],delete t.x,delete t.y,delete t.z,t},meta:{}}},{"../../plots/gl3d":593,"./attributes":1039,"./calc":1040,"./convert":1041,"./defaults":1042}],1044:[function(t,e,r){"use strict";var n=t("../../plots/attributes"),i=t("../../plots/template_attributes").hovertemplateAttrs,a=t("../../plots/template_attributes").texttemplateAttrs,o=t("../../components/colorscale/attributes"),s=t("../../plots/domain").attributes,l=t("../pie/attributes"),c=t("./constants"),u=t("../../lib/extend").extendFlat;e.exports={labels:{valType:"data_array",editType:"calc"},parents:{valType:"data_array",editType:"calc"},values:{valType:"data_array",editType:"calc"},branchvalues:{valType:"enumerated",values:["remainder","total"],dflt:"remainder",editType:"calc"},count:{valType:"flaglist",flags:["branches","leaves"],dflt:"leaves",editType:"calc"},level:{valType:"any",editType:"plot",anim:!0},maxdepth:{valType:"integer",editType:"plot",dflt:-1},marker:u({colors:{valType:"data_array",editType:"calc"},line:{color:u({},l.marker.line.color,{dflt:null}),width:u({},l.marker.line.width,{dflt:1}),editType:"calc"},editType:"calc"},o("marker",{colorAttr:"colors",anim:!1})),leaf:{opacity:{valType:"number",editType:"style",min:0,max:1},editType:"plot"},text:l.text,textinfo:{valType:"flaglist",flags:["label","text","value","current 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c=n.select(this),f=s.ensureSingle(c,"path","surface",(function(t){t.style("pointer-events","all")}));i.rpx0=H(i.y0),i.rpx1=H(i.y1),i.xmid=(i.x0+i.x1)/2,i.pxmid=q(i.rpx1,i.xmid),i.midangle=-(i.xmid-Math.PI/2),i.startangle=-(i.x0-Math.PI/2),i.stopangle=-(i.x1-Math.PI/2),i.halfangle=.5*Math.min(s.angleDelta(i.x0,i.x1)||Math.PI,Math.PI),i.ring=1-i.rpx0/i.rpx1,i.rInscribed=function(t){return 0===t.rpx0&&s.isFullCircle([t.x0,t.x1])?1:Math.max(0,Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2))}(i),v?f.transition().attrTween("d",(function(t){var e=function(t){var e,r=R[b.getPtId(t)],n={x0:t.x0,x1:t.x1,rpx0:t.rpx0,rpx1:t.rpx1};if(r)e=r;else if(D)if(t.parent)if(X){var i=(t.x1>X?2*Math.PI:0)+U;e={x0:i,x1:i}}else e={rpx0:I,rpx1:I},s.extendFlat(e,K(t));else e={rpx0:0,rpx1:0};else e={x0:U,x1:U};return a(e,n)}(t);return function(t){return G(e(t))}})):f.attr("d",G),c.call(y,M,t,e,{eventDataKeys:x.eventDataKeys,transitionTime:x.CLICK_TRANSITION_TIME,transitionEasing:x.CLICK_TRANSITION_EASING}).call(b.setSliceCursor,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:t._transitioning}),f.call(g,i,k);var p=s.ensureSingle(c,"g","slicetext"),_=s.ensureSingle(p,"text","",(function(t){t.attr("data-notex",1)})),w=s.ensureUniformFontSize(t,b.determineTextFont(k,i,h.font));_.text(r.formatSliceLabel(i,M,k,e,h)).classed("slicetext",!0).attr("text-anchor","middle").call(o.font,w).call(l.convertToTspans,t);var A=o.bBox(_.node());i.transform=m(A,i,T),i.transform.targetX=Y(i),i.transform.targetY=W(i);var S=function(t,e){var r=t.transform;return d(r,e),r.fontSize=w.size,u(k.type,r,h),s.getTextTransform(r)};v?_.transition().attrTween("transform",(function(t){var e=function(t){var e,r=R[b.getPtId(t)],n=t.transform;if(r)e=r;else if(e={rpx1:t.rpx1,transform:{textPosAngle:n.textPosAngle,scale:0,rotate:n.rotate,rCenter:n.rCenter,x:n.x,y:n.y}},D)if(t.parent)if(X){var i=t.x1>X?2*Math.PI:0;e.x0=e.x1=i}else s.extendFlat(e,K(t));else e.x0=e.x1=U;else e.x0=e.x1=U;var o=a(e.transform.textPosAngle,t.transform.textPosAngle),l=a(e.rpx1,t.rpx1),c=a(e.x0,t.x0),f=a(e.x1,t.x1),p=a(e.transform.scale,n.scale),d=a(e.transform.rotate,n.rotate),m=0===n.rCenter?3:0===e.transform.rCenter?1/3:1,g=a(e.transform.rCenter,n.rCenter);return function(t){var e=l(t),r=c(t),i=f(t),a=function(t){return g(Math.pow(t,m))}(t),s={pxmid:q(e,(r+i)/2),rpx1:e,transform:{textPosAngle:o(t),rCenter:a,x:n.x,y:n.y}};return u(k.type,n,h),{transform:{targetX:Y(s),targetY:W(s),scale:p(t),rotate:d(t),rCenter:a}}}}(t);return function(t){return S(e(t),A)}})):_.attr("transform",S(i,A))}))}function w(t){return e=t.rpx1,r=t.transform.textPosAngle,[e*Math.sin(r),-e*Math.cos(r)];var e,r}r.plot=function(t,e,r,i){var a,o,s=t._fullLayout,l=s._sunburstlayer,c=!r,u=!s.uniformtext.mode&&b.hasTransition(r);(f("sunburst",s),(a=l.selectAll("g.trace.sunburst").data(e,(function(t){return t[0].trace.uid}))).enter().append("g").classed("trace",!0).classed("sunburst",!0).attr("stroke-linejoin","round"),a.order(),u)?(i&&(o=i()),n.transition().duration(r.duration).ease(r.easing).each("end",(function(){o&&o()})).each("interrupt",(function(){o&&o()})).each((function(){l.selectAll("g.trace").each((function(e){_(t,e,this,r)}))}))):(a.each((function(e){_(t,e,this,r)})),s.uniformtext.mode&&v(t,s._sunburstlayer.selectAll(".trace"),"sunburst"));c&&a.exit().remove()},r.formatSliceLabel=function(t,e,r,n,i){var a=r.texttemplate,o=r.textinfo;if(!(a||o&&"none"!==o))return"";var l=i.separators,c=n[0],u=t.data.data,f=c.hierarchy,h=b.isHierarchyRoot(t),p=b.getParent(f,t),d=b.getValue(t);if(!a){var m,g=o.split("+"),v=function(t){return-1!==g.indexOf(t)},y=[];if(v("label")&&u.label&&y.push(u.label),u.hasOwnProperty("v")&&v("value")&&y.push(b.formatValue(u.v,l)),!h){v("current path")&&y.push(b.getPath(t.data));var x=0;v("percent parent")&&x++,v("percent entry")&&x++,v("percent root")&&x++;var _=x>1;if(x){var w,T=function(t){m=b.formatPercent(w,l),_&&(m+=" of "+t),y.push(m)};v("percent parent")&&!h&&(w=d/b.getValue(p),T("parent")),v("percent entry")&&(w=d/b.getValue(e),T("entry")),v("percent root")&&(w=d/b.getValue(f),T("root"))}}return v("text")&&(m=s.castOption(r,u.i,"text"),s.isValidTextValue(m)&&y.push(m)),y.join("<br>")}var k=s.castOption(r,u.i,"texttemplate");if(!k)return"";var A={};u.label&&(A.label=u.label),u.hasOwnProperty("v")&&(A.value=u.v,A.valueLabel=b.formatValue(u.v,l)),A.currentPath=b.getPath(t.data),h||(A.percentParent=d/b.getValue(p),A.percentParentLabel=b.formatPercent(A.percentParent,l),A.parent=b.getPtLabel(p)),A.percentEntry=d/b.getValue(e),A.percentEntryLabel=b.formatPercent(A.percentEntry,l),A.entry=b.getPtLabel(e),A.percentRoot=d/b.getValue(f),A.percentRootLabel=b.formatPercent(A.percentRoot,l),A.root=b.getPtLabel(f),u.hasOwnProperty("color")&&(A.color=u.color);var M=s.castOption(r,u.i,"text");return(s.isValidTextValue(M)||""===M)&&(A.text=M),A.customdata=s.castOption(r,u.i,"customdata"),s.texttemplateString(k,A,i._d3locale,A,r._meta||{})}},{"../../components/drawing":383,"../../lib":498,"../../lib/svg_text_utils":524,"../bar/style":657,"../bar/uniform_text":659,"../pie/helpers":901,"../pie/plot":905,"./constants":1047,"./fx":1049,"./helpers":1050,"./style":1055,"@plotly/d3":58,"d3-hierarchy":110,"d3-interpolate":111}],1055:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../../components/color"),a=t("../../lib"),o=t("../bar/uniform_text").resizeText;function s(t,e,r){var n=e.data.data,o=!e.children,s=n.i,l=a.castOption(r,s,"marker.line.color")||i.defaultLine,c=a.castOption(r,s,"marker.line.width")||0;t.style("stroke-width",c).call(i.fill,n.color).call(i.stroke,l).style("opacity",o?r.leaf.opacity:null)}e.exports={style:function(t){var e=t._fullLayout._sunburstlayer.selectAll(".trace");o(t,e,"sunburst"),e.each((function(t){var e=n.select(this),r=t[0].trace;e.style("opacity",r.opacity),e.selectAll("path.surface").each((function(t){n.select(this).call(s,t,r)}))}))},styleOne:s}},{"../../components/color":361,"../../lib":498,"../bar/uniform_text":659,"@plotly/d3":58}],1056:[function(t,e,r){"use strict";var n=t("../../components/color"),i=t("../../components/colorscale/attributes"),a=t("../../plots/cartesian/axis_format_attributes").axisHoverFormat,o=t("../../plots/template_attributes").hovertemplateAttrs,s=t("../../plots/attributes"),l=t("../../lib/extend").extendFlat,c=t("../../plot_api/edit_types").overrideAll;function u(t){return{show:{valType:"boolean",dflt:!1},start:{valType:"number",dflt:null,editType:"plot"},end:{valType:"number",dflt:null,editType:"plot"},size:{valType:"number",dflt:null,min:0,editType:"plot"},project:{x:{valType:"boolean",dflt:!1},y:{valType:"boolean",dflt:!1},z:{valType:"boolean",dflt:!1}},color:{valType:"color",dflt:n.defaultLine},usecolormap:{valType:"boolean",dflt:!1},width:{valType:"number",min:1,max:16,dflt:2},highlight:{valType:"boolean",dflt:!0},highlightcolor:{valType:"color",dflt:n.defaultLine},highlightwidth:{valType:"number",min:1,max:16,dflt:2}}}var f=e.exports=c(l({z:{valType:"data_array"},x:{valType:"data_array"},y:{valType:"data_array"},text:{valType:"string",dflt:"",arrayOk:!0},hovertext:{valType:"string",dflt:"",arrayOk:!0},hovertemplate:o(),xhoverformat:a("x"),yhoverformat:a("y"),zhoverformat:a("z"),connectgaps:{valType:"boolean",dflt:!1,editType:"calc"},surfacecolor:{valType:"data_array"}},i("",{colorAttr:"z or surfacecolor",showScaleDflt:!0,autoColorDflt:!1,editTypeOverride:"calc"}),{contours:{x:u(),y:u(),z:u()},hidesurface:{valType:"boolean",dflt:!1},lightposition:{x:{valType:"number",min:-1e5,max:1e5,dflt:10},y:{valType:"number",min:-1e5,max:1e5,dflt:1e4},z:{valType:"number",min:-1e5,max:1e5,dflt:0}},lighting:{ambient:{valType:"number",min:0,max:1,dflt:.8},diffuse:{valType:"number",min:0,max:1,dflt:.8},specular:{valType:"number",min:0,max:2,dflt:.05},roughness:{valType:"number",min:0,max:1,dflt:.5},fresnel:{valType:"number",min:0,max:5,dflt:.2}},opacity:{valType:"number",min:0,max:1,dflt:1},opacityscale:{valType:"any",editType:"calc"},_deprecated:{zauto:l({},i.zauto,{}),zmin:l({},i.zmin,{}),zmax:l({},i.zmax,{})},hoverinfo:l({},s.hoverinfo),showlegend:l({},s.showlegend,{dflt:!1})}),"calc","nested");f.x.editType=f.y.editType=f.z.editType="calc+clearAxisTypes",f.transforms=void 0},{"../../components/color":361,"../../components/colorscale/attributes":368,"../../lib/extend":488,"../../plot_api/edit_types":531,"../../plots/attributes":545,"../../plots/cartesian/axis_format_attributes":552,"../../plots/template_attributes":628}],1057:[function(t,e,r){"use strict";var n=t("../../components/colorscale/calc");e.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:"",cLetter:"c"}):n(t,e,{vals:e.z,containerStr:"",cLetter:"c"})}},{"../../components/colorscale/calc":369}],1058:[function(t,e,r){"use strict";var n=t("../../../stackgl_modules").gl_surface3d,i=t("../../../stackgl_modules").ndarray,a=t("../../../stackgl_modules").ndarray_linear_interpolate.d2,o=t("../heatmap/interp2d"),s=t("../heatmap/find_empties"),l=t("../../lib").isArrayOrTypedArray,c=t("../../lib/gl_format_color").parseColorScale,u=t("../../lib/str2rgbarray"),f=t("../../components/colorscale").extractOpts;function h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?i:n.d2l(i,0,r)},p.getZat=function(t,e,r,n){var i=this.data.z[e][t];return null===i&&this.data.connectgaps&&this.data._interpolatedZ&&(i=this.data._interpolatedZ[e][t]),void 0===r?i:n.d2l(i,0,r)},p.handlePick=function(t){if(t.object===this.surface){var e=(t.data.index[0]-1)/this.dataScaleX-1,r=(t.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(e),this.data.z[0].length-1),0),i=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);t.index=[n,i],t.traceCoordinate=[this.getXat(n,i),this.getYat(n,i),this.getZat(n,i)],t.dataCoordinate=[this.getXat(n,i,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,i,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,i,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var a=0;a<3;a++){var o=t.dataCoordinate[a];null!=o&&(t.dataCoordinate[a]*=this.scene.dataScale[a])}var s=this.data.hovertext||this.data.text;return Array.isArray(s)&&s[i]&&void 0!==s[i][n]?t.textLabel=s[i][n]:t.textLabel=s||"",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var d=[2,3,5,7,11,13,17,19,23,29,31,37,41,43,47,53,59,61,67,71,73,79,83,89,97,101,103,107,109,113,127,131,137,139,149,151,157,163,167,173,179,181,191,193,197,199,211,223,227,229,233,239,241,251,257,263,269,271,277,281,283,293,307,311,313,317,331,337,347,349,353,359,367,373,379,383,389,397,401,409,419,421,431,433,439,443,449,457,461,463,467,479,487,491,499,503,509,521,523,541,547,557,563,569,571,577,587,593,599,601,607,613,617,619,631,641,643,647,653,659,661,673,677,683,691,701,709,719,727,733,739,743,751,757,761,769,773,787,797,809,811,821,823,827,829,839,853,857,859,863,877,881,883,887,907,911,919,929,937,941,947,953,967,971,977,983,991,997,1009,1013,1019,1021,1031,1033,1039,1049,1051,1061,1063,1069,1087,1091,1093,1097,1103,1109,1117,1123,1129,1151,1153,1163,1171,1181,1187,1193,1201,1213,1217,1223,1229,1231,1237,1249,1259,1277,1279,1283,1289,1291,1297,1301,1303,1307,1319,1321,1327,1361,1367,1373,1381,1399,1409,1423,1427,1429,1433,1439,1447,1451,1453,1459,1471,1481,1483,1487,1489,1493,1499,1511,1523,1531,1543,1549,1553,1559,1567,1571,1579,1583,1597,1601,1607,1609,1613,1619,1621,1627,1637,1657,1663,1667,1669,1693,1697,1699,1709,1721,1723,1733,1741,1747,1753,1759,1777,1783,1787,1789,1801,1811,1823,1831,1847,1861,1867,1871,1873,1877,1879,1889,1901,1907,1913,1931,1933,1949,1951,1973,1979,1987,1993,1997,1999,2003,2011,2017,2027,2029,2039,2053,2063,2069,2081,2083,2087,2089,2099,2111,2113,2129,2131,2137,2141,2143,2153,2161,2179,2203,2207,2213,2221,2237,2239,2243,2251,2267,2269,2273,2281,2287,2293,2297,2309,2311,2333,2339,2341,2347,2351,2357,2371,2377,2381,2383,2389,2393,2399,2411,2417,2423,2437,2441,2447,2459,2467,2473,2477,2503,2521,2531,2539,2543,2549,2551,2557,2579,2591,2593,2609,2617,2621,2633,2647,2657,2659,2663,2671,2677,2683,2687,2689,2693,2699,2707,2711,2713,2719,2729,2731,2741,2749,2753,2767,2777,2789,2791,2797,2801,2803,2819,2833,2837,2843,2851,2857,2861,2879,2887,2897,2903,2909,2917,2927,2939,2953,2957,2963,2969,2971,2999];function m(t,e){if(t<e)return 0;for(var r=0;0===Math.floor(t%e);)t/=e,r++;return r}function g(t){for(var e=[],r=0;r<d.length;r++){var n=d[r];e.push(m(t,n))}return e}function v(t){for(var e=g(t),r=t,n=0;n<d.length;n++)if(e[n]>0){r=d[n];break}return r}function y(t,e){if(!(t<1||e<1)){for(var r=g(t),n=g(e),i=1,a=0;a<d.length;a++)i*=Math.pow(d[a],Math.max(r[a],n[a]));return i}}p.calcXnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getXat(e-1,0),i=this.getXat(e,0);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r},p.calcYnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getYat(0,e-1),i=this.getYat(0,e);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r};var x=[1,2,4,6,12,24,36,48,60,120,180,240,360,720,840,1260],b=x[9],_=x[13];function w(t,e,r){var n=r[8]+r[2]*e[0]+r[5]*e[1];return t[0]=(r[6]+r[0]*e[0]+r[3]*e[1])/n,t[1]=(r[7]+r[1]*e[0]+r[4]*e[1])/n,t}function T(t,e,r){return function(t,e,r,n){for(var i=[0,0],o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var c=0;c<s;c++)r(i,[l,c],n),t.set(l,c,a(e,i[0],i[1]))}(t,e,w,r),t}function k(t,e){for(var r=!1,n=0;n<t.length;n++)if(e===t[n]){r=!0;break}!1===r&&t.push(e)}p.estimateScale=function(t,e){for(var r=1+function(t){if(0!==t.length){for(var e=1,r=0;r<t.length;r++)e=y(e,t[r]);return e}}(0===e?this.calcXnums(t):this.calcYnums(t));r<b;)r*=2;for(;r>_;)r--,r/=v(r),++r<b&&(r=_);var n=Math.round(r/t);return n>1?n:1},p.refineCoords=function(t){for(var e=this.dataScaleX,r=this.dataScaleY,n=t[0].shape[0],a=t[0].shape[1],o=0|Math.floor(t[0].shape[0]*e+1),s=0|Math.floor(t[0].shape[1]*r+1),l=1+n+1,c=1+a+1,u=i(new Float32Array(l*c),[l,c]),f=[1/e,0,0,0,1/r,0,0,0,1],h=0;h<t.length;++h){this.surface.padField(u,t[h]);var p=i(new Float32Array(o*s),[o,s]);T(p,u,f),t[h]=p}},p.setContourLevels=function(){var t,e,r,n=[[],[],[]],i=[!1,!1,!1],a=!1;for(t=0;t<3;++t)if(this.showContour[t]&&(a=!0,this.contourSize[t]>0&&null!==this.contourStart[t]&&null!==this.contourEnd[t]&&this.contourEnd[t]>this.contourStart[t]))for(i[t]=!0,e=this.contourStart[t];e<this.contourEnd[t];e+=this.contourSize[t])r=e*this.scene.dataScale[t],k(n[t],r);if(a){var o=[[],[],[]];for(t=0;t<3;++t)this.showContour[t]&&(o[t]=i[t]?n[t]:this.scene.contourLevels[t]);this.surface.update({levels:o})}},p.update=function(t){var e,r,n,a,l=this.scene,h=l.fullSceneLayout,p=this.surface,d=c(t),m=l.dataScale,g=t.z[0].length,v=t._ylength,y=l.contourLevels;this.data=t;var 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A=[!0,!0,!0],M=["x","y","z"];for(e=0;e<3;++e){var S=t.contours[M[e]];A[e]=S.highlight,w.showContour[e]=S.show||S.highlight,w.showContour[e]&&(w.contourProject[e]=[S.project.x,S.project.y,S.project.z],S.show?(this.showContour[e]=!0,w.levels[e]=y[e],p.highlightColor[e]=w.contourColor[e]=u(S.color),S.usecolormap?p.highlightTint[e]=w.contourTint[e]=0:p.highlightTint[e]=w.contourTint[e]=1,w.contourWidth[e]=S.width,this.contourStart[e]=S.start,this.contourEnd[e]=S.end,this.contourSize[e]=S.size):(this.showContour[e]=!1,this.contourStart[e]=null,this.contourEnd[e]=null,this.contourSize[e]=0),S.highlight&&(w.dynamicColor[e]=u(S.highlightcolor),w.dynamicWidth[e]=S.highlightwidth))}(function(t){var e=t[0].rgb,r=t[t.length-1].rgb;return e[0]===r[0]&&e[1]===r[1]&&e[2]===r[2]&&e[3]===r[3]})(d)&&(w.vertexColor=!0),w.objectOffset=this.objectOffset,w.coords=b,p.update(w),p.visible=t.visible,p.enableDynamic=A,p.enableHighlight=A,p.snapToData=!0,"lighting"in 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r=[],n=0;n<32;n++){var i=n/31,a=e+(1-e)*(1-Math.pow(Math.sin(t*i*Math.PI),2));r.push([i,Math.max(0,Math.min(1,a))])}return r}(1,.1):function(t){var e=0;if(!Array.isArray(t)||t.length<2)return!1;if(!t[0]||!t[t.length-1])return!1;if(0!=+t[0][0]||1!=+t[t.length-1][0])return!1;for(var r=0;r<t.length;r++){var n=t[r];if(2!==n.length||+n[0]<e)return!1;e=+n[0]}return!0}(i)||(e.opacityscale=void 0)}function l(t,e,r){e in t&&!(r in t)&&(t[r]=t[e])}e.exports={supplyDefaults:function(t,e,r,c){var u,f;function h(r,n){return i.coerce(t,e,o,r,n)}var p=h("x"),d=h("y"),m=h("z");if(!m||!m.length||p&&p.length<1||d&&d.length<1)e.visible=!1;else{e._xlength=Array.isArray(p)&&i.isArrayOrTypedArray(p[0])?m.length:m[0].length,e._ylength=m.length,n.getComponentMethod("calendars","handleTraceDefaults")(t,e,["x","y","z"],c),h("text"),h("hovertext"),h("hovertemplate"),h("xhoverformat"),h("yhoverformat"),h("zhoverformat"),["lighting.ambient","lighting.diffuse","lighting.specular","lighting.roughness","lighting.fresnel","lightposition.x","lightposition.y","lightposition.z","hidesurface","connectgaps","opacity"].forEach((function(t){h(t)}));var g=h("surfacecolor"),v=["x","y","z"];for(u=0;u<3;++u){var y="contours."+v[u],x=h(y+".show"),b=h(y+".highlight");if(x||b)for(f=0;f<3;++f)h(y+".project."+v[f]);x&&(h(y+".color"),h(y+".width"),h(y+".usecolormap")),b&&(h(y+".highlightcolor"),h(y+".highlightwidth")),h(y+".start"),h(y+".end"),h(y+".size")}g||(l(t,"zmin","cmin"),l(t,"zmax","cmax"),l(t,"zauto","cauto")),a(t,e,c,h,{prefix:"",cLetter:"c"}),s(t,e,c,h),e._length=null}},opacityscaleDefaults:s}},{"../../components/colorscale/defaults":371,"../../lib":498,"../../registry":633,"./attributes":1056}],1060:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults").supplyDefaults,colorbar:{min:"cmin",max:"cmax"},calc:t("./calc"),plot:t("./convert"),moduleType:"trace",name:"surface",basePlotModule:t("../../plots/gl3d"),categories:["gl3d","2dMap","showLegend"],meta:{}}},{"../../plots/gl3d":593,"./attributes":1056,"./calc":1057,"./convert":1058,"./defaults":1059}],1061:[function(t,e,r){"use strict";var n=t("../../components/annotations/attributes"),i=t("../../lib/extend").extendFlat,a=t("../../plot_api/edit_types").overrideAll,o=t("../../plots/font_attributes"),s=t("../../plots/domain").attributes,l=t("../../plots/cartesian/axis_format_attributes").descriptionOnlyNumbers;(e.exports=a({domain:s({name:"table",trace:!0}),columnwidth:{valType:"number",arrayOk:!0,dflt:null},columnorder:{valType:"data_array"},header:{values:{valType:"data_array",dflt:[]},format:{valType:"data_array",dflt:[],description:l("cell value")},prefix:{valType:"string",arrayOk:!0,dflt:null},suffix:{valType:"string",arrayOk:!0,dflt:null},height:{valType:"number",dflt:28},align:i({},n.align,{arrayOk:!0}),line:{width:{valType:"number",arrayOk:!0,dflt:1},color:{valType:"color",arrayOk:!0,dflt:"grey"}},fill:{color:{valType:"color",arrayOk:!0,dflt:"white"}},font:i({},o({arrayOk:!0}))},cells:{values:{valType:"data_array",dflt:[]},format:{valType:"data_array",dflt:[],description:l("cell 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e,r=t.slice(),n=1/0,i=0;for(e=0;e<r.length;e++)Array.isArray(r[e])||(r[e]=[r[e]]),n=Math.min(n,r[e].length),i=Math.max(i,r[e].length);if(n!==i)for(e=0;e<r.length;e++){var a=i-r[e].length;a&&(r[e]=r[e].concat(c(a)))}return r}function c(t){for(var e=new Array(t),r=0;r<t;r++)e[r]="";return e}function u(t){return t.calcdata.columns.reduce((function(e,r){return r.xIndex<t.xIndex?e+r.columnWidth:e}),0)}function f(t,e){return Object.keys(t).map((function(r){return i({},t[r],{auxiliaryBlocks:e})}))}function h(t,e){for(var r,n={},i=0,a=0,o={firstRowIndex:null,lastRowIndex:null,rows:[]},s=0,l=0,c=0;c<t.length;c++)r=t[c],o.rows.push({rowIndex:c,rowHeight:r}),((a+=r)>=e||c===t.length-1)&&(n[i]=o,o.key=l++,o.firstRowIndex=s,o.lastRowIndex=c,o={firstRowIndex:null,lastRowIndex:null,rows:[]},i+=a,s=c+1,a=0);return n}e.exports=function(t,e){var r=l(e.cells.values),p=function(t){return t.slice(e.header.values.length,t.length)},d=l(e.header.values);d.length&&!d[0].length&&(d[0]=[""],d=l(d));var m=d.concat(p(r).map((function(){return c((d[0]||[""]).length)}))),g=e.domain,v=Math.floor(t._fullLayout._size.w*(g.x[1]-g.x[0])),y=Math.floor(t._fullLayout._size.h*(g.y[1]-g.y[0])),x=e.header.values.length?m[0].map((function(){return e.header.height})):[n.emptyHeaderHeight],b=r.length?r[0].map((function(){return e.cells.height})):[],_=x.reduce(s,0),w=h(b,y-_+n.uplift),T=f(h(x,_),[]),k=f(w,T),A={},M=e._fullInput.columnorder.concat(p(r.map((function(t,e){return e})))),S=m.map((function(t,r){var n=Array.isArray(e.columnwidth)?e.columnwidth[Math.min(r,e.columnwidth.length-1)]:e.columnwidth;return a(n)?Number(n):1})),E=S.reduce(s,0);S=S.map((function(t){return t/E*v}));var L=Math.max(o(e.header.line.width),o(e.cells.line.width)),C={key:e.uid+t._context.staticPlot,translateX:g.x[0]*t._fullLayout._size.w,translateY:t._fullLayout._size.h*(1-g.y[1]),size:t._fullLayout._size,width:v,maxLineWidth:L,height:y,columnOrder:M,groupHeight:y,rowBlocks:k,headerRowBlocks:T,scrollY:0,cells:i({},e.cells,{values:r}),headerCells:i({},e.header,{values:m}),gdColumns:m.map((function(t){return t[0]})),gdColumnsOriginalOrder:m.map((function(t){return t[0]})),prevPages:[0,0],scrollbarState:{scrollbarScrollInProgress:!1},columns:m.map((function(t,e){var r=A[t];return A[t]=(r||0)+1,{key:t+"__"+A[t],label:t,specIndex:e,xIndex:M[e],xScale:u,x:void 0,calcdata:void 0,columnWidth:S[e]}}))};return C.columns.forEach((function(t){t.calcdata=C,t.x=u(t)})),C}},{"../../lib/extend":488,"./constants":1064,"fast-isnumeric":185}],1066:[function(t,e,r){"use strict";var n=t("../../lib/extend").extendFlat;r.splitToPanels=function(t){var 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0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var a=0,o=0;o<n.length;o++)a=(e=(0|r.words[o])-(0|n.words[o])+a)>>26,this.words[o]=67108863&e;for(;0!==a&&o<r.length;o++)a=(e=(0|r.words[o])+a)>>26,this.words[o]=67108863&e;if(0===a&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},a.prototype.sub=function(t){return this.clone().isub(t)};var d=function(t,e,r){var n,i,a,o=t.words,s=e.words,l=r.words,c=0,u=0|o[0],f=8191&u,h=u>>>13,p=0|o[1],d=8191&p,m=p>>>13,g=0|o[2],v=8191&g,y=g>>>13,x=0|o[3],b=8191&x,_=x>>>13,w=0|o[4],T=8191&w,k=w>>>13,A=0|o[5],M=8191&A,S=A>>>13,E=0|o[6],L=8191&E,C=E>>>13,P=0|o[7],I=8191&P,O=P>>>13,z=0|o[8],D=8191&z,R=z>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],U=8191&j,V=j>>>13,H=0|s[1],q=8191&H,G=H>>>13,Y=0|s[2],W=8191&Y,X=Y>>>13,Z=0|s[3],J=8191&Z,K=Z>>>13,Q=0|s[4],$=8191&Q,tt=Q>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,it=0|s[6],at=8191&it,ot=it>>>13,st=0|s[7],lt=8191&st,ct=st>>>13,ut=0|s[8],ft=8191&ut,ht=ut>>>13,pt=0|s[9],dt=8191&pt,mt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var gt=(c+(n=Math.imul(f,U))|0)+((8191&(i=(i=Math.imul(f,V))+Math.imul(h,U)|0))<<13)|0;c=((a=Math.imul(h,V))+(i>>>13)|0)+(gt>>>26)|0,gt&=67108863,n=Math.imul(d,U),i=(i=Math.imul(d,V))+Math.imul(m,U)|0,a=Math.imul(m,V);var vt=(c+(n=n+Math.imul(f,q)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,q)|0))<<13)|0;c=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(vt>>>26)|0,vt&=67108863,n=Math.imul(v,U),i=(i=Math.imul(v,V))+Math.imul(y,U)|0,a=Math.imul(y,V),n=n+Math.imul(d,q)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(m,q)|0,a=a+Math.imul(m,G)|0;var yt=(c+(n=n+Math.imul(f,W)|0)|0)+((8191&(i=(i=i+Math.imul(f,X)|0)+Math.imul(h,W)|0))<<13)|0;c=((a=a+Math.imul(h,X)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(v,q)|0,i=(i=i+Math.imul(v,G)|0)+Math.imul(y,q)|0,a=a+Math.imul(y,G)|0,n=n+Math.imul(d,W)|0,i=(i=i+Math.imul(d,X)|0)+Math.imul(m,W)|0,a=a+Math.imul(m,X)|0;var xt=(c+(n=n+Math.imul(f,J)|0)|0)+((8191&(i=(i=i+Math.imul(f,K)|0)+Math.imul(h,J)|0))<<13)|0;c=((a=a+Math.imul(h,K)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(b,q)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,q)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(v,W)|0,i=(i=i+Math.imul(v,X)|0)+Math.imul(y,W)|0,a=a+Math.imul(y,X)|0,n=n+Math.imul(d,J)|0,i=(i=i+Math.imul(d,K)|0)+Math.imul(m,J)|0,a=a+Math.imul(m,K)|0;var bt=(c+(n=n+Math.imul(f,$)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,$)|0))<<13)|0;c=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,q)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,q)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,W)|0,i=(i=i+Math.imul(b,X)|0)+Math.imul(_,W)|0,a=a+Math.imul(_,X)|0,n=n+Math.imul(v,J)|0,i=(i=i+Math.imul(v,K)|0)+Math.imul(y,J)|0,a=a+Math.imul(y,K)|0,n=n+Math.imul(d,$)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(m,$)|0,a=a+Math.imul(m,tt)|0;var _t=(c+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;c=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=(i=Math.imul(L,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(M,q)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,q)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,W)|0,i=(i=i+Math.imul(T,X)|0)+Math.imul(k,W)|0,a=a+Math.imul(k,X)|0,n=n+Math.imul(b,J)|0,i=(i=i+Math.imul(b,K)|0)+Math.imul(_,J)|0,a=a+Math.imul(_,K)|0,n=n+Math.imul(v,$)|0,i=(i=i+Math.imul(v,tt)|0)+Math.imul(y,$)|0,a=a+Math.imul(y,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0;var wt=(c+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;c=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(I,U),i=(i=Math.imul(I,V))+Math.imul(O,U)|0,a=Math.imul(O,V),n=n+Math.imul(L,q)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,q)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,W)|0,i=(i=i+Math.imul(M,X)|0)+Math.imul(S,W)|0,a=a+Math.imul(S,X)|0,n=n+Math.imul(T,J)|0,i=(i=i+Math.imul(T,K)|0)+Math.imul(k,J)|0,a=a+Math.imul(k,K)|0,n=n+Math.imul(b,$)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,$)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(v,rt)|0,i=(i=i+Math.imul(v,nt)|0)+Math.imul(y,rt)|0,a=a+Math.imul(y,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0;var Tt=(c+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ct)|0)+Math.imul(h,lt)|0))<<13)|0;c=((a=a+Math.imul(h,ct)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(D,U),i=(i=Math.imul(D,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(I,q)|0,i=(i=i+Math.imul(I,G)|0)+Math.imul(O,q)|0,a=a+Math.imul(O,G)|0,n=n+Math.imul(L,W)|0,i=(i=i+Math.imul(L,X)|0)+Math.imul(C,W)|0,a=a+Math.imul(C,X)|0,n=n+Math.imul(M,J)|0,i=(i=i+Math.imul(M,K)|0)+Math.imul(S,J)|0,a=a+Math.imul(S,K)|0,n=n+Math.imul(T,$)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,$)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(v,at)|0,i=(i=i+Math.imul(v,ot)|0)+Math.imul(y,at)|0,a=a+Math.imul(y,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ct)|0)+Math.imul(m,lt)|0,a=a+Math.imul(m,ct)|0;var kt=(c+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;c=((a=a+Math.imul(h,ht)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(D,q)|0,i=(i=i+Math.imul(D,G)|0)+Math.imul(R,q)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(I,W)|0,i=(i=i+Math.imul(I,X)|0)+Math.imul(O,W)|0,a=a+Math.imul(O,X)|0,n=n+Math.imul(L,J)|0,i=(i=i+Math.imul(L,K)|0)+Math.imul(C,J)|0,a=a+Math.imul(C,K)|0,n=n+Math.imul(M,$)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,$)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(v,lt)|0,i=(i=i+Math.imul(v,ct)|0)+Math.imul(y,lt)|0,a=a+Math.imul(y,ct)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(m,ft)|0,a=a+Math.imul(m,ht)|0;var At=(c+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,mt)|0)+Math.imul(h,dt)|0))<<13)|0;c=((a=a+Math.imul(h,mt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,q),i=(i=Math.imul(B,G))+Math.imul(N,q)|0,a=Math.imul(N,G),n=n+Math.imul(D,W)|0,i=(i=i+Math.imul(D,X)|0)+Math.imul(R,W)|0,a=a+Math.imul(R,X)|0,n=n+Math.imul(I,J)|0,i=(i=i+Math.imul(I,K)|0)+Math.imul(O,J)|0,a=a+Math.imul(O,K)|0,n=n+Math.imul(L,$)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,$)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ct)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ct)|0,n=n+Math.imul(v,ft)|0,i=(i=i+Math.imul(v,ht)|0)+Math.imul(y,ft)|0,a=a+Math.imul(y,ht)|0;var Mt=(c+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,mt)|0)+Math.imul(m,dt)|0))<<13)|0;c=((a=a+Math.imul(m,mt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,W),i=(i=Math.imul(B,X))+Math.imul(N,W)|0,a=Math.imul(N,X),n=n+Math.imul(D,J)|0,i=(i=i+Math.imul(D,K)|0)+Math.imul(R,J)|0,a=a+Math.imul(R,K)|0,n=n+Math.imul(I,$)|0,i=(i=i+Math.imul(I,tt)|0)+Math.imul(O,$)|0,a=a+Math.imul(O,tt)|0,n=n+Math.imul(L,rt)|0,i=(i=i+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ct)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ct)|0,n=n+Math.imul(b,ft)|0,i=(i=i+Math.imul(b,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var St=(c+(n=n+Math.imul(v,dt)|0)|0)+((8191&(i=(i=i+Math.imul(v,mt)|0)+Math.imul(y,dt)|0))<<13)|0;c=((a=a+Math.imul(y,mt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,J),i=(i=Math.imul(B,K))+Math.imul(N,J)|0,a=Math.imul(N,K),n=n+Math.imul(D,$)|0,i=(i=i+Math.imul(D,tt)|0)+Math.imul(R,$)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(I,rt)|0,i=(i=i+Math.imul(I,nt)|0)+Math.imul(O,rt)|0,a=a+Math.imul(O,nt)|0,n=n+Math.imul(L,at)|0,i=(i=i+Math.imul(L,ot)|0)+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ct)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ct)|0,n=n+Math.imul(T,ft)|0,i=(i=i+Math.imul(T,ht)|0)+Math.imul(k,ft)|0,a=a+Math.imul(k,ht)|0;var Et=(c+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,mt)|0)+Math.imul(_,dt)|0))<<13)|0;c=((a=a+Math.imul(_,mt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,$),i=(i=Math.imul(B,tt))+Math.imul(N,$)|0,a=Math.imul(N,tt),n=n+Math.imul(D,rt)|0,i=(i=i+Math.imul(D,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(I,at)|0,i=(i=i+Math.imul(I,ot)|0)+Math.imul(O,at)|0,a=a+Math.imul(O,ot)|0,n=n+Math.imul(L,lt)|0,i=(i=i+Math.imul(L,ct)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ct)|0,n=n+Math.imul(M,ft)|0,i=(i=i+Math.imul(M,ht)|0)+Math.imul(S,ft)|0,a=a+Math.imul(S,ht)|0;var Lt=(c+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,mt)|0)+Math.imul(k,dt)|0))<<13)|0;c=((a=a+Math.imul(k,mt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(D,at)|0,i=(i=i+Math.imul(D,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(I,lt)|0,i=(i=i+Math.imul(I,ct)|0)+Math.imul(O,lt)|0,a=a+Math.imul(O,ct)|0,n=n+Math.imul(L,ft)|0,i=(i=i+Math.imul(L,ht)|0)+Math.imul(C,ft)|0,a=a+Math.imul(C,ht)|0;var Ct=(c+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,mt)|0)+Math.imul(S,dt)|0))<<13)|0;c=((a=a+Math.imul(S,mt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(D,lt)|0,i=(i=i+Math.imul(D,ct)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ct)|0,n=n+Math.imul(I,ft)|0,i=(i=i+Math.imul(I,ht)|0)+Math.imul(O,ft)|0,a=a+Math.imul(O,ht)|0;var Pt=(c+(n=n+Math.imul(L,dt)|0)|0)+((8191&(i=(i=i+Math.imul(L,mt)|0)+Math.imul(C,dt)|0))<<13)|0;c=((a=a+Math.imul(C,mt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ct))+Math.imul(N,lt)|0,a=Math.imul(N,ct),n=n+Math.imul(D,ft)|0,i=(i=i+Math.imul(D,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var It=(c+(n=n+Math.imul(I,dt)|0)|0)+((8191&(i=(i=i+Math.imul(I,mt)|0)+Math.imul(O,dt)|0))<<13)|0;c=((a=a+Math.imul(O,mt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var Ot=(c+(n=n+Math.imul(D,dt)|0)|0)+((8191&(i=(i=i+Math.imul(D,mt)|0)+Math.imul(R,dt)|0))<<13)|0;c=((a=a+Math.imul(R,mt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863;var zt=(c+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,mt))+Math.imul(N,dt)|0))<<13)|0;return c=((a=Math.imul(N,mt))+(i>>>13)|0)+(zt>>>26)|0,zt&=67108863,l[0]=gt,l[1]=vt,l[2]=yt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Pt,l[16]=It,l[17]=Ot,l[18]=zt,0!==c&&(l[19]=c,r.length++),r};function m(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r=this.length+t.length;return 10===this.length&&10===t.length?d(this,t,e):r<63?p(this,t,e):r<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a<r.length-1;a++){var o=i;i=0;for(var s=67108863&n,l=Math.min(a,e.length-1),c=Math.max(0,a-t.length+1);c<=l;c++){var u=a-c,f=(0|t.words[u])*(0|e.words[c]),h=67108863&f;s=67108863&(h=h+s|0),i+=(o=(o=o+(f/67108864|0)|0)+(h>>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):m(this,t,e)},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},g.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i<e;i++)n|=(1&t)<<e-i-1,t>>=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o<a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},g.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o<i;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),c=Math.sin(2*Math.PI/s),u=0;u<i;u+=s)for(var f=l,h=c,p=0;p<o;p++){var d=r[u+p],m=n[u+p],g=r[u+p+o],v=n[u+p+o],y=f*g-h*v;v=f*v+h*g,g=y,r[u+p]=d+g,n[u+p]=m+v,r[u+p+o]=d-g,n[u+p+o]=m-v,p!==s&&(y=l*f-c*h,h=l*h+c*f,f=y)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,i=0;for(r=r/2|0;r;r>>>=1)i++;return 1<<i+1+n},g.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var i=t[n];t[n]=t[r-n-1],t[r-n-1]=i,i=e[n],e[n]=-e[r-n-1],e[r-n-1]=-i}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&i,r=i<67108864?0:i/67108864|0}return t},g.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o<e;o++)a+=0|t[o],r[2*o]=8191&a,a>>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o<i;++o)r[o]=0;n(0===a),n(0==(-8192&a))},g.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},g.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(n),a=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),c=new Array(n),u=new Array(n),f=new Array(n),h=r.words;h.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,c,n),this.transform(o,a,s,l,n,i),this.transform(c,a,u,f,n,i);for(var p=0;p<n;p++){var d=s[p]*u[p]-l[p]*f[p];l[p]=s[p]*f[p]+l[p]*u[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,h,a,n,i),this.conjugate(h,a,n),this.normalize13b(h,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},a.prototype.mul=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},a.prototype.mulf=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),m(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n("number"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var i=(0|this.words[r])*t,a=(67108863&i)+(67108863&e);e>>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,i=r%26;e[r]=(t.words[n]&1<<i)>>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var i=r.sqr();n<e.length;n++,i=i.sqr())0!==e[n]&&(r=r.mul(i));return r},a.prototype.iushln=function(t){n("number"==typeof t&&t>=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&a,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e<i;e++)this.words[e]=0;this.length+=i}return this.strip()},a.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},a.prototype.iushrn=function(t,e,r){var i;n("number"==typeof t&&t>=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<<a,l=r;if(i-=o,i=Math.max(0,i),l){for(var c=0;c<o;c++)l.words[c]=this.words[c];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,c=0;c<this.length;c++)this.words[c]=this.words[c+o];else this.words[0]=0,this.length=1;var u=0;for(c=this.length-1;c>=0&&(0!==u||c>=i);c--){var f=0|this.words[c];this.words[c]=u<<26-a|f>>>a,u=f&s}return l&&0!==u&&(l.words[l.length++]=u),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n("number"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<<e;return!(this.length<=r)&&!!(this.words[r]&i)},a.prototype.imaskn=function(t){n("number"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,"imaskn works only with positive numbers"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<<e;this.words[this.length-1]&=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n("number"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},a.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n("number"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},a.prototype.addn=function(t){return this.clone().iaddn(t)},a.prototype.subn=function(t){return this.clone().isubn(t)},a.prototype.iabs=function(){return this.negative=0,this},a.prototype.abs=function(){return this.clone().iabs()},a.prototype._ishlnsubmul=function(t,e,r){var i,a,o=t.length+r;this._expand(o);var s=0;for(i=0;i<t.length;i++){a=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;s=((a-=67108863&l)>>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i<this.length-r;i++)s=(a=(0|this.words[i+r])+s)>>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i<this.length;i++)s=(a=-(0|this.words[i])+s)>>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!==(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if("mod"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var c=0;c<s.length;c++)s.words[c]=0}var u=n.clone()._ishlnsubmul(i,1,l);0===u.negative&&(n=u,s&&(s.words[l]=1));for(var f=l-1;f>=0;f--){var h=67108864*(0|n.words[i.length+f])+(0|n.words[i.length+f-1]);for(h=Math.min(h/o|0,67108863),n._ishlnsubmul(i,h,f);0!==n.negative;)h--,n.negative=0,n._ishlnsubmul(i,1,f),n.isZero()||(n.negative^=1);s&&(s.words[f]=h)}return s&&s.strip(),n.strip(),"div"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),"mod"!==e&&(i=s.div.neg()),"div"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),"mod"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),"div"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?"div"===e?{div:this.divn(t.words[0]),mod:null}:"mod"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,"div",!1).div},a.prototype.mod=function(t){return this.divmod(t,"mod",!1).mod},a.prototype.umod=function(t){return this.divmod(t,"mod",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),c=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++c;for(var u=r.clone(),f=e.clone();!e.isZero();){for(var h=0,p=1;0==(e.words[0]&p)&&h<26;++h,p<<=1);if(h>0)for(e.iushrn(h);h-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(u),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,m=1;0==(r.words[0]&m)&&d<26;++d,m<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(u),l.isub(f)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(c)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var c=0,u=1;0==(e.words[0]&u)&&c<26;++c,u<<=1);if(c>0)for(e.iushrn(c);c-- 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this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&&o<this.length;o++){var s=0|this.words[o];a=(s+=a)>>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,"Number is too big");var i=0|this.words[0];e=i===t?0:i<t?-1:1}return 0!==this.negative?0|-e:e},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},a.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n<i?e=-1:n>i&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new T(t)},a.prototype.toRed=function(t){return n(!this.red,"Already a number in reduction context"),n(0===this.negative,"red works only with positives"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,"fromRed works only with numbers in reduction context"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,"Already a number in reduction 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0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},i(b,y),i(_,y),i(w,y),w.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,i=67108863&n;n>>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(v[t])return v[t];var e;if("k256"===t)e=new x;else if("p224"===t)e=new b;else if("p192"===t)e=new _;else{if("p25519"!==t)throw new Error("Unknown prime "+t);e=new w}return v[t]=e,e},T.prototype._verify1=function(t){n(0===t.negative,"red works only with positives"),n(t.red,"red works only with red numbers")},T.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),"red works only with positives"),n(t.red&&t.red===e.red,"red works only with red numbers")},T.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},T.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},T.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},T.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},T.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},T.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},T.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},T.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},T.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},T.prototype.isqr=function(t){return this.imul(t,t.clone())},T.prototype.sqr=function(t){return this.mul(t,t)},T.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return this.pow(t,r)}for(var i=this.m.subn(1),o=0;!i.isZero()&&0===i.andln(1);)o++,i.iushrn(1);n(!i.isZero());var s=new a(1).toRed(this),l=s.redNeg(),c=this.m.subn(1).iushrn(1),u=this.m.bitLength();for(u=new a(2*u*u).toRed(this);0!==this.pow(u,c).cmp(l);)u.redIAdd(l);for(var f=this.pow(u,i),h=this.pow(t,i.addn(1).iushrn(1)),p=this.pow(t,i),d=o;0!==p.cmp(s);){for(var m=p,g=0;0!==m.cmp(s);g++)m=m.redSqr();n(g<d);var v=this.pow(f,new a(1).iushln(d-g-1));h=h.redMul(v),f=v.redSqr(),p=p.redMul(f),d=g}return h},T.prototype.invm=function(t){var e=t._invmp(this.m);return 0!==e.negative?(e.negative=0,this.imod(e).redNeg()):this.imod(e)},T.prototype.pow=function(t,e){if(e.isZero())return new a(1).toRed(this);if(0===e.cmpn(1))return t.clone();var r=new Array(16);r[0]=new a(1).toRed(this),r[1]=t;for(var n=2;n<r.length;n++)r[n]=this.mul(r[n-1],t);var i=r[0],o=0,s=0,l=e.bitLength()%26;for(0===l&&(l=26),n=e.length-1;n>=0;n--){for(var c=e.words[n],u=l-1;u>=0;u--){var f=c>>u&1;i!==r[0]&&(i=this.sqr(i)),0!==f||0!==o?(o<<=1,o|=f,(4===++s||0===n&&0===u)&&(i=this.mul(i,r[o]),s=0,o=0)):s=0}l=26}return i},T.prototype.convertTo=function(t){var e=t.umod(this.m);return e===t?e.clone():e},T.prototype.convertFrom=function(t){var e=t.clone();return e.red=null,e},a.mont=function(t){return new k(t)},i(k,T),k.prototype.convertTo=function(t){return this.imod(t.ushln(this.shift))},k.prototype.convertFrom=function(t){var e=this.imod(t.mul(this.rinv));return e.red=null,e},k.prototype.imul=function(t,e){if(t.isZero()||e.isZero())return t.words[0]=0,t.length=1,t;var r=t.imul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),a=i;return i.cmp(this.m)>=0?a=i.isub(this.m):i.cmpn(0)<0&&(a=i.iadd(this.m)),a._forceRed(this)},k.prototype.mul=function(t,e){if(t.isZero()||e.isZero())return new a(0)._forceRed(this);var 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r=0;r<t;++r)if(!(e[r]<=e[r+t]))return!0;return!1}function l(t,e,r,n){for(var i=0,a=0,o=0,l=t.length;o<l;++o){var c=t[o];if(!s(e,c)){for(var u=0;u<2*e;++u)r[i++]=c[u];n[a++]=o}}return a}function c(t,e,r,n){var s=t.length,c=e.length;if(!(s<=0||c<=0)){var u=t[0].length>>>1;if(!(u<=0)){var f,h=i.mallocDouble(2*u*s),p=i.mallocInt32(s);if((s=l(t,u,h,p))>0){if(1===u&&n)a.init(s),f=a.sweepComplete(u,r,0,s,h,p,0,s,h,p);else{var d=i.mallocDouble(2*u*c),m=i.mallocInt32(c);(c=l(e,u,d,m))>0&&(a.init(s+c),f=1===u?a.sweepBipartite(u,r,0,s,h,p,0,c,d,m):o(u,r,n,s,h,p,c,d,m),i.free(d),i.free(m))}i.free(h),i.free(p)}return f}}}function u(t,e){n.push([t,e])}function f(t){return n=[],c(t,t,u,!0),n}function h(t,e){return n=[],c(t,e,u,!1),n}},{"./lib/intersect":37,"./lib/sweep":41,"typedarray-pool":308}],36:[function(t,e,r){"use strict";function n(t){return t?function(t,e,r,n,i,a,o,s,l,c,u){return i-n>l-s?function(t,e,r,n,i,a,o,s,l,c,u){for(var f=2*t,h=n,p=f*n;h<i;++h,p+=f){var 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f=e[e.length-2];f.left===r?f.left=null:f.right===r&&(f.right=null),e.pop();for(l=0;l<e.length;++l)e[l]._count--;return new s(this.tree._compare,e[0])}if(r.left||r.right){r.left?d(r,r.left):r.right&&d(r,r.right),r._color=1;for(l=0;l<e.length-1;++l)e[l]._count--;return new s(this.tree._compare,e[0])}if(1===e.length)return new s(this.tree._compare,null);for(l=0;l<e.length;++l)e[l]._count--;var h=e[e.length-2];return function(t){for(var e,r,n,s,l=t.length-1;l>=0;--l){if(e=t[l],0===l)return void(e._color=1);if((r=t[l-1]).left===e){if((n=r.right).right&&0===n.right._color){if(s=(n=r.right=i(n)).right=i(n.right),r.right=n.left,n.left=r,n.right=s,n._color=r._color,e._color=1,r._color=1,s._color=1,o(r),o(n),l>1)(c=t[l-2]).left===r?c.left=n:c.right=n;return void(t[l-1]=n)}if(n.left&&0===n.left._color){if(s=(n=r.right=i(n)).left=i(n.left),r.right=s.left,n.left=s.right,s.left=r,s.right=n,s._color=r._color,r._color=1,n._color=1,e._color=1,o(r),o(n),o(s),l>1)(c=t[l-2]).left===r?c.left=s:c.right=s;return void(t[l-1]=s)}if(1===n._color){if(0===r._color)return r._color=1,void(r.right=a(0,n));r.right=a(0,n);continue}n=i(n),r.right=n.left,n.left=r,n._color=r._color,r._color=0,o(r),o(n),l>1&&((c=t[l-2]).left===r?c.left=n:c.right=n),t[l-1]=n,t[l]=r,l+1<t.length?t[l+1]=e:t.push(e),l+=2}else{if((n=r.left).left&&0===n.left._color){if(s=(n=r.left=i(n)).left=i(n.left),r.left=n.right,n.right=r,n.left=s,n._color=r._color,e._color=1,r._color=1,s._color=1,o(r),o(n),l>1)(c=t[l-2]).right===r?c.right=n:c.left=n;return void(t[l-1]=n)}if(n.right&&0===n.right._color){if(s=(n=r.left=i(n)).right=i(n.right),r.left=s.right,n.right=s.left,s.right=r,s.left=n,s._color=r._color,r._color=1,n._color=1,e._color=1,o(r),o(n),o(s),l>1)(c=t[l-2]).right===r?c.right=s:c.left=s;return void(t[l-1]=s)}if(1===n._color){if(0===r._color)return r._color=1,void(r.left=a(0,n));r.left=a(0,n);continue}var c;n=i(n),r.left=n.right,n.right=r,n._color=r._color,r._color=0,o(r),o(n),l>1&&((c=t[l-2]).right===r?c.right=n:c.left=n),t[l-1]=n,t[l]=r,l+1<t.length?t[l+1]=e:t.push(e),l+=2}}}(e),h.left===r?h.left=null:h.right=null,new s(this.tree._compare,e[0])},Object.defineProperty(p,"key",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(p,"value",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(p,"index",{get:function(){var t=0,e=this._stack;if(0===e.length){var r=this.tree.root;return r?r._count:0}e[e.length-1].left&&(t=e[e.length-1].left._count);for(var n=e.length-2;n>=0;--n)e[n+1]===e[n].right&&(++t,e[n].left&&(t+=e[n].left._count));return t},enumerable:!0}),p.next=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.right)for(e=e.right;e;)t.push(e),e=e.left;else for(t.pop();t.length>0&&t[t.length-1].right===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(p,"hasNext",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].right)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].left===t[e])return!0;return!1}}),p.update=function(t){var e=this._stack;if(0===e.length)throw new Error("Can't update empty node!");var r=new Array(e.length),i=e[e.length-1];r[r.length-1]=new n(i._color,i.key,t,i.left,i.right,i._count);for(var a=e.length-2;a>=0;--a)(i=e[a]).left===e[a+1]?r[a]=new n(i._color,i.key,i.value,r[a+1],i.right,i._count):r[a]=new n(i._color,i.key,i.value,i.left,r[a+1],i._count);return new s(this.tree._compare,r[0])},p.prev=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.left)for(e=e.left;e;)t.push(e),e=e.right;else for(t.pop();t.length>0&&t[t.length-1].left===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(p,"hasPrev",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].left)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].right===t[e])return!0;return!1}})},{}],70:[function(t,e,r){"use strict";e.exports=function(t,e){var r=new u(t);return r.update(e),r};var n=t("./lib/text.js"),i=t("./lib/lines.js"),a=t("./lib/background.js"),o=t("./lib/cube.js"),s=t("./lib/ticks.js"),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]);function c(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function u(t){this.gl=t,this.pixelRatio=1,this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.autoTicks=!0,this.tickSpacing=[1,1,1],this.tickEnable=[!0,!0,!0],this.tickFont=["sans-serif","sans-serif","sans-serif"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickAlign=["auto","auto","auto"],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[10,10,10],this.lastCubeProps={cubeEdges:[0,0,0],axis:[0,0,0]},this.labels=["x","y","z"],this.labelEnable=[!0,!0,!0],this.labelFont="sans-serif",this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelAlign=["auto","auto","auto"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[10,10,10],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[0,0,0],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!1,!1,!1],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._firstInit=!0,this._text=null,this._lines=null,this._background=a(t)}var f=u.prototype;function h(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}f.update=function(t){function e(e,r,n){if(n in t){var i,a=t[n],o=this[n];(e?Array.isArray(a)&&Array.isArray(a[0]):Array.isArray(a))?this[n]=i=[r(a[0]),r(a[1]),r(a[2])]:this[n]=i=[r(a),r(a),r(a)];for(var s=0;s<3;++s)if(i[s]!==o[s])return!0}return!1}t=t||{};var r,a=e.bind(this,!1,Number),o=e.bind(this,!1,Boolean),l=e.bind(this,!1,String),c=e.bind(this,!0,(function(t){if(Array.isArray(t)){if(3===t.length)return[+t[0],+t[1],+t[2],1];if(4===t.length)return[+t[0],+t[1],+t[2],+t[3]]}return[0,0,0,1]})),u=!1,f=!1;if("bounds"in t)for(var h=t.bounds,p=0;p<2;++p)for(var d=0;d<3;++d)h[p][d]!==this.bounds[p][d]&&(f=!0),this.bounds[p][d]=h[p][d];if("ticks"in t){r=t.ticks,u=!0,this.autoTicks=!1;for(p=0;p<3;++p)this.tickSpacing[p]=0}else a("tickSpacing")&&(this.autoTicks=!0,f=!0);if(this._firstInit&&("ticks"in t||"tickSpacing"in t||(this.autoTicks=!0),f=!0,u=!0,this._firstInit=!1),f&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),u=!0),u){for(p=0;p<3;++p)r[p].sort((function(t,e){return t.x-e.x}));s.equal(r,this.ticks)?u=!1:this.ticks=r}o("tickEnable"),l("tickFont")&&(u=!0),a("tickSize"),a("tickAngle"),a("tickPad"),c("tickColor");var m=l("labels");l("labelFont")&&(m=!0),o("labelEnable"),a("labelSize"),a("labelPad"),c("labelColor"),o("lineEnable"),o("lineMirror"),a("lineWidth"),c("lineColor"),o("lineTickEnable"),o("lineTickMirror"),a("lineTickLength"),a("lineTickWidth"),c("lineTickColor"),o("gridEnable"),a("gridWidth"),c("gridColor"),o("zeroEnable"),c("zeroLineColor"),a("zeroLineWidth"),o("backgroundEnable"),c("backgroundColor"),this._text?this._text&&(m||u)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&u&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var p=[new h,new h,new h];function d(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,c=n[e],u=0;u<3;++u)if(e!==u){var f=a,h=s,p=o,d=l;c&1<<u&&(f=s,h=a,p=l,d=o),f[u]=r[0][u],h[u]=r[1][u],i[u]>0?(p[u]=-1,d[u]=0):(p[u]=0,d[u]=1)}}var m=[0,0,0],g={model:l,view:l,projection:l,_ortho:!1};f.isOpaque=function(){return!0},f.isTransparent=function(){return!1},f.drawTransparent=function(t){};var v=[0,0,0],y=[0,0,0],x=[0,0,0];f.draw=function(t){t=t||g;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,u=o(r,n,i,a,s),f=u.cubeEdges,h=u.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*b+i[7]*_+i[11]*w+i[15]*T)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=f[A],this.lastCubeProps.axis[A]=h[A];var M=p;for(A=0;A<3;++A)d(p[A],A,this.bounds,f,h);e=this.gl;var S,E=m;for(A=0;A<3;++A)this.backgroundEnable[A]?E[A]=h[A]:E[A]=0;this._background.draw(r,n,i,a,E,this.backgroundColor),this._lines.bind(r,n,i,this);for(A=0;A<3;++A){var L=[0,0,0];h[A]>0?L[A]=a[1][A]:L[A]=a[0][A];for(var C=0;C<2;++C){var P=(A+1+C)%3,I=(A+1+(1^C))%3;this.gridEnable[P]&&this._lines.drawGrid(P,I,this.bounds,L,this.gridColor[P],this.gridWidth[P]*this.pixelRatio)}for(C=0;C<2;++C){P=(A+1+C)%3,I=(A+1+(1^C))%3;this.zeroEnable[I]&&Math.min(a[0][I],a[1][I])<=0&&Math.max(a[0][I],a[1][I])>=0&&this._lines.drawZero(P,I,this.bounds,L,this.zeroLineColor[I],this.zeroLineWidth[I]*this.pixelRatio)}}for(A=0;A<3;++A){this.lineEnable[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].primalOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio),this.lineMirror[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].mirrorOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio);var O=c(v,M[A].primalMinor),z=c(y,M[A].mirrorMinor),D=this.lineTickLength;for(C=0;C<3;++C){var R=k/r[5*C];O[C]*=D[C]*R,z[C]*=D[C]*R}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,O,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,z,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio);var F,B;function N(t){(B=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,H=c(x,M[A].primalOffset);for(C=0;C<3;++C)this.lineTickEnable[A]&&(H[C]+=k*U[C]*Math.max(this.lineTickLength[C],0)/r[5*C]);var q=[0,0,0];if(q[A]=1,this.tickEnable[A]){-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]="auto"):this.tickAlign[A]=-1,F=1,"auto"===(S=[this.tickAlign[A],.5,F])[0]?S[0]=0:S[0]=parseInt(""+S[0]),B=[0,0,0],j(A,U,V);for(C=0;C<3;++C)H[C]+=k*U[C]*this.tickPad[C]/r[5*C];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],H,this.tickColor[A],q,B,S)}if(this.labelEnable[A]){F=0,B=[0,0,0],this.labels[A].length>4&&(N(A),F=1),"auto"===(S=[this.labelAlign[A],.5,F])[0]?S[0]=0:S[0]=parseInt(""+S[0]);for(C=0;C<3;++C)H[C]+=k*U[C]*this.labelPad[C]/r[5*C];H[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],H,this.labelColor[A],[0,0,0],B,S)}}this._text.unbind()},f.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},{"./lib/background.js":71,"./lib/cube.js":72,"./lib/lines.js":73,"./lib/text.js":75,"./lib/ticks.js":76}],71:[function(t,e,r){"use strict";e.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var c=(l+1)%3,u=(l+2)%3,f=[0,0,0],h=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=p,h[l]=p;for(var d=-1;d<=1;d+=2){f[c]=d;for(var m=-1;m<=1;m+=2)f[u]=m,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var g=c;c=u,u=g}var v=n(t,new Float32Array(e)),y=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:v,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:v,type:t.FLOAT,size:3,offset:12,stride:24}],y),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,v,x,b)};var n=t("gl-buffer"),i=t("gl-vao"),a=t("./shaders").bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{"./shaders":74,"gl-buffer":78,"gl-vao":150}],72:[function(t,e,r){"use strict";e.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var y=0,x=0;x<2;++x){u[2]=a[x][2];for(var b=0;b<2;++b){u[1]=a[b][1];for(var _=0;_<2;++_)u[0]=a[_][0],h(l[y],u,s),y+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)c[x][k]=l[x][k]/T;p&&(c[x][2]*=-1),T<0&&(w<0||c[x][2]<c[w][2])&&(w=x)}if(w<0){w=0;for(var A=0;A<3;++A){for(var M=(A+2)%3,S=(A+1)%3,E=-1,L=-1,C=0;C<2;++C){var P=(O=C<<A)+(C<<M)+(1-C<<S),I=O+(1-C<<M)+(C<<S);o(c[O],c[P],c[I],f)<0||(C?E=1:L=1)}if(E<0||L<0)L>E&&(w|=1<<A);else{for(C=0;C<2;++C){P=(O=C<<A)+(C<<M)+(1-C<<S),I=O+(1-C<<M)+(C<<S);var 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e=0;e<p.length;++e)if((t=a.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],i=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],c=s[0]/s[3]-n,u=s[1]/s[3]-i,f=l[0]/l[3]-n,h=l[1]/l[3]-i;o+=Math.abs(c*h-u*f)}return o}var m=[1,1,1],g=[0,0,0],v={cubeEdges:m,axis:g}},{"bit-twiddle":32,"gl-mat4/multiply":100,"robust-orientation":284,"split-polygon":300}],73:[function(t,e,r){"use strict";e.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var f=0;f<3;++f){for(var h=o.length/3|0,d=0;d<r[f].length;++d){var m=+r[f][d].x;o.push(m,0,1,m,1,1,m,0,-1,m,0,-1,m,1,1,m,1,-1)}var g=o.length/3|0;s[f]=h,l[f]=g-h;h=o.length/3|0;for(var v=0;v<r[f].length;++v){m=+r[f][v].x;o.push(m,0,1,m,1,1,m,0,-1,m,0,-1,m,1,1,m,1,-1)}g=o.length/3|0;c[f]=h,u[f]=g-h}var y=n(t,new Float32Array(o)),x=i(t,[{buffer:y,type:t.FLOAT,size:3,stride:0,offset:0}]),b=a(t);return b.attributes.position.location=0,new p(t,y,x,b,l,s,u,c)};var n=t("gl-buffer"),i=t("gl-vao"),a=t("./shaders").line,o=[0,0,0],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[1,1];function f(t){return t[0]=t[1]=t[2]=0,t}function h(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,i,a,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=i,this.tickOffset=a,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,u[0]=this.gl.drawingBufferWidth,u[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=u,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,i){var a=f(s);this.shader.uniforms.majorAxis=s,a[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=a;var o,u=h(c,r);u[t]+=e[0][t],this.shader.uniforms.offset=u,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=n,(o=f(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=f(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,i){if(this.tickCount[t]){var a=f(o);a[t]=1,this.shader.uniforms.majorAxis=a,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=i;var s=f(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},d.drawGrid=function(t,e,r,n,i,a){if(this.gridCount[t]){var u=f(s);u[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=u;var p=h(c,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=f(o);d[t]=1,this.shader.uniforms.majorAxis=d;var m=f(l);m[t]=1,this.shader.uniforms.screenAxis=m,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,i,a){var o=f(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var u=h(c,n);u[t]+=r[0][t],this.shader.uniforms.offset=u;var p=f(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},{"./shaders":74,"gl-buffer":78,"gl-vao":150}],74:[function(t,e,r){"use strict";var n=t("glslify"),i=t("gl-shader"),a=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\n\nuniform mat4 model, view, projection;\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\nuniform float lineWidth;\nuniform vec2 screenShape;\n\nvec3 project(vec3 p) {\n  vec4 pp = projection * view * model * vec4(p, 1.0);\n  return pp.xyz / max(pp.w, 0.0001);\n}\n\nvoid main() {\n  vec3 major = position.x * majorAxis;\n  vec3 minor = position.y * minorAxis;\n\n  vec3 vPosition = major + minor + offset;\n  vec3 pPosition = project(vPosition);\n  vec3 offset = project(vPosition + screenAxis * position.z);\n\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\n\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\n}\n"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 color;\nvoid main() {\n  gl_FragColor = color;\n}"]);r.line=function(t){return i(t,a,o,null,[{name:"position",type:"vec3"}])};var s=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\n\nuniform mat4 model, view, projection;\nuniform vec3 offset, axis, alignDir, alignOpt;\nuniform float scale, angle, pixelScale;\nuniform vec2 resolution;\n\nvec3 project(vec3 p) {\n  vec4 pp = projection * view * model * vec4(p, 1.0);\n  return pp.xyz / max(pp.w, 0.0001);\n}\n\nfloat computeViewAngle(vec3 a, vec3 b) {\n  vec3 A = project(a);\n  vec3 B = project(b);\n\n  return atan(\n    (B.y - A.y) * resolution.y,\n    (B.x - A.x) * resolution.x\n  );\n}\n\nconst float PI = 3.141592;\nconst float TWO_PI = 2.0 * PI;\nconst float HALF_PI = 0.5 * PI;\nconst float ONE_AND_HALF_PI = 1.5 * PI;\n\nint option = int(floor(alignOpt.x + 0.001));\nfloat hv_ratio =       alignOpt.y;\nbool enableAlign =    (alignOpt.z != 0.0);\n\nfloat mod_angle(float a) {\n  return mod(a, PI);\n}\n\nfloat positive_angle(float a) {\n  return mod_angle((a < 0.0) ?\n    a + TWO_PI :\n    a\n  );\n}\n\nfloat look_upwards(float a) {\n  float b = positive_angle(a);\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\n    b - PI :\n    b;\n}\n\nfloat look_horizontal_or_vertical(float a, float ratio) {\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\n  // if ratio is set to 0.5 then it is 50%, 50%.\n  // when using a higher ratio e.g. 0.75 the result would\n  // likely be more horizontal than vertical.\n\n  float b = positive_angle(a);\n\n  return\n    (b < (      ratio) * HALF_PI) ? 0.0 :\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\n    (b < (4.0 - ratio) * HALF_PI) ? 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HALF_PI :\n                      computeViewAngle(dataPosition, dataPosition + axis);\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\n\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\n\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\n\n    beta += applyAlignOption(clipAngle, flip * PI);\n  }\n\n  //Compute plane offset\n  vec2 planeCoord = position.xy * pixelScale;\n\n  mat2 planeXform = scale * mat2(\n     cos(beta), sin(beta),\n    -sin(beta), cos(beta)\n  );\n\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\n\n  //Compute clip position\n  vec3 clipPosition = project(dataPosition);\n\n  //Apply text offset in clip coordinates\n  clipPosition += vec3(viewOffset, 0.0);\n\n  //Done\n  gl_Position = vec4(clipPosition, 1.0);\n}"]),l=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 color;\nvoid main() {\n  gl_FragColor = color;\n}"]);r.text=function(t){return i(t,s,l,null,[{name:"position",type:"vec3"}])};var c=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec3 normal;\n\nuniform mat4 model, view, projection;\nuniform vec3 enable;\nuniform vec3 bounds[2];\n\nvarying vec3 colorChannel;\n\nvoid main() {\n\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\n\n  vec3 realNormal = signAxis * normal;\n\n  if(dot(realNormal, enable) > 0.0) {\n    vec3 minRange = min(bounds[0], bounds[1]);\n    vec3 maxRange = max(bounds[0], bounds[1]);\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\n    gl_Position = projection * view * model * vec4(nPosition, 1.0);\n  } else {\n    gl_Position = vec4(0,0,0,0);\n  }\n\n  colorChannel = abs(realNormal);\n}"]),u=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 colors[3];\n\nvarying vec3 colorChannel;\n\nvoid main() {\n  gl_FragColor = colorChannel.x * colors[0] +\n                 colorChannel.y * colors[1] +\n                 colorChannel.z * colors[2];\n}"]);r.bg=function(t){return i(t,c,u,null,[{name:"position",type:"vec3"},{name:"normal",type:"vec3"}])}},{"gl-shader":132,glslify:231}],75:[function(t,e,r){(function(r){(function(){"use strict";e.exports=function(t,e,r,a,s,l){var u=n(t),f=i(t,[{buffer:u,size:3}]),h=o(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,a,s,l),p};var n=t("gl-buffer"),i=t("gl-vao"),a=t("vectorize-text"),o=t("./shaders").text,s=window||r.global||{},l=s.__TEXT_CACHE||{};s.__TEXT_CACHE={};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}var u=c.prototype,f=[0,0];u.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,f[0]=this.gl.drawingBufferWidth,f[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=f},u.unbind=function(){this.vao.unbind()},u.update=function(t,e,r,n,i){var o=[];function s(t,e,r,n,i,s){var c=l[r];c||(c=l[r]={});var u=c[e];u||(u=c[e]=function(t,e){try{return a(t,e)}catch(e){return console.warn('error vectorizing text:"'+t+'" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:"center",textBaseline:"middle",lineSpacing:i,styletags:s}));for(var f=(n||12)/12,h=u.positions,p=u.cells,d=0,m=p.length;d<m;++d)for(var g=p[d],v=2;v>=0;--v){var y=h[g[v]];o.push(f*y[0],-f*y[1],t)}}for(var c=[0,0,0],u=[0,0,0],f=[0,0,0],h=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){f[d]=o.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),h[d]=(o.length/3|0)-f[d],c[d]=o.length/3|0;for(var m=0;m<n[d].length;++m)n[d][m].text&&s(n[d][m].x,n[d][m].text,n[d][m].font||i,n[d][m].fontSize||12,1.25,p);u[d]=(o.length/3|0)-c[d]}this.buffer.update(o),this.tickOffset=c,this.tickCount=u,this.labelOffset=f,this.labelCount=h},u.drawTicks=function(t,e,r,n,i,a,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},u.drawLabel=function(t,e,r,n,i,a,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},u.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}}).call(this)}).call(this,t("_process"))},{"./shaders":74,_process:5,"gl-buffer":78,"gl-vao":150,"vectorize-text":311}],76:[function(t,e,r){"use strict";function n(t,e){var r=t+"",n=r.indexOf("."),i=0;n>=0&&(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*a),s=o+"";if(s.indexOf("e")>=0)return s;var l=o/a,c=o%a;o<0?(l=0|-Math.ceil(l),c=0|-c):(l=0|Math.floor(l),c|=0);var u=""+l;if(o<0&&(u="-"+u),i){for(var f=""+c;f.length<i;)f="0"+f;return u+"."+f}return u}r.create=function(t,e){for(var r=[],i=0;i<3;++i){for(var a=[],o=(t[0][i],t[1][i],0);o*e[i]<=t[1][i];++o)a.push({x:o*e[i],text:n(e[i],o)});for(o=-1;o*e[i]>=t[0][i];--o)a.push({x:o*e[i],text:n(e[i],o)});r.push(a)}return r},r.equal=function(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;++n){var i=t[r][n],a=e[r][n];if(i.x!==a.x||i.text!==a.text||i.font!==a.font||i.fontColor!==a.fontColor||i.fontSize!==a.fontSize||i.dx!==a.dx||i.dy!==a.dy)return!1}}return!0}},{}],77:[function(t,e,r){"use strict";e.exports=function(t,e,r,l,f){var h=e.model||c,p=e.view||c,v=e.projection||c,y=e._ortho||!1,x=t.bounds,b=(f=f||a(h,p,v,x,y)).axis;o(u,p,h),o(u,v,u);for(var _=m,w=0;w<3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var T=n(s(u,u));s(u,u);for(var k=0;k<3;++k){var A=(k+1)%3,M=(k+2)%3,S=g;t:for(w=0;w<2;++w){var E=[];if(b[k]<0!=!!w){S[k]=x[w][k];for(var L=0;L<2;++L){S[A]=x[L^w][A];for(var C=0;C<2;++C)S[M]=x[C^L^w][M],E.push(S.slice())}var P=y?5:4;for(L=P;L===P;++L){if(0===E.length)continue t;E=i.positive(E,T[L])}for(L=0;L<E.length;++L){M=E[L];var I=d(g,u,M,r,l);for(C=0;C<3;++C)_[C].lo=Math.min(_[C].lo,M[C]),_[C].hi=Math.max(_[C].hi,M[C]),C!==k&&(_[C].pixelsPerDataUnit=Math.min(_[C].pixelsPerDataUnit,Math.abs(I[C])))}}}}return _};var n=t("extract-frustum-planes"),i=t("split-polygon"),a=t("./lib/cube.js"),o=t("gl-mat4/multiply"),s=t("gl-mat4/transpose"),l=t("gl-vec4/transformMat4"),c=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),u=new Float32Array(16);function f(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var h=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,i){for(var a=0;a<3;++a){for(var o=h,s=p,c=0;c<3;++c)s[c]=o[c]=r[c];s[3]=o[3]=1,s[a]+=1,l(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,l(o,o,e),o[3]<0&&(t[a]=1/0);var u=(o[0]/o[3]-s[0]/s[3])*n,f=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(u*u+f*f)}return t}var m=[new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0)],g=[0,0,0]},{"./lib/cube.js":72,"extract-frustum-planes":67,"gl-mat4/multiply":100,"gl-mat4/transpose":109,"gl-vec4/transformMat4":221,"split-polygon":300}],78:[function(t,e,r){"use strict";var n=t("typedarray-pool"),i=t("ndarray-ops"),a=t("ndarray"),o=["uint8","uint8_clamped","uint16","uint32","int8","int16","int32","float32"];function s(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}var l=s.prototype;function c(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a<0)return t.bufferData(e,i,n),o;if(o+a>r)throw new Error("gl-buffer: If resizing buffer, must not specify offset");return t.bufferSubData(e,a,i),r}function u(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a<i;++a)r[a]=t[a];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if("number"!=typeof e&&(e=-1),this.bind(),"object"==typeof t&&void 0!==t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r="float32"),this.type===this.gl.ELEMENT_ARRAY_BUFFER)r=gl.getExtension("OES_element_index_uint")&&"uint16"!==r?"uint32":"uint16";if(r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=c(this.gl,this.type,this.length,this.usage,t.data,e):this.length=c(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=c(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?u(t,"uint16"):u(t,"float32"),this.length=c(this.gl,this.type,this.length,this.usage,e<0?f:f.subarray(0,t.length),e),n.free(f)}else if("object"==typeof t&&"number"==typeof t.length)this.length=c(this.gl,this.type,this.length,this.usage,t,e);else{if("number"!=typeof t&&void 0!==t)throw new Error("gl-buffer: Invalid data type");if(e>=0)throw new Error("gl-buffer: Cannot specify offset when resizing buffer");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},e.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error("gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error("gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW");var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},{ndarray:259,"ndarray-ops":254,"typedarray-pool":308}],79:[function(t,e,r){"use strict";var n=t("gl-vec3");e.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,c=1/0,u=-1/0,f=1/0,h=-1/0,p=null,d=null,m=[],g=1/0,v=!1,y=0;y<r.length;y++){var x=r[y];s=Math.min(x[0],s),l=Math.max(x[0],l),c=Math.min(x[1],c),u=Math.max(x[1],u),f=Math.min(x[2],f),h=Math.max(x[2],h);var b=i[y];if(n.length(b)>o&&(o=n.length(b)),y){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(g=Math.min(g,_),v=!1):v=!0}v||(p=x,d=b),m.push(b)}var w=[s,c,f],T=[l,u,h];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var k=1/o;isFinite(g)||(g=1),a.vectorScale=g;var A=t.coneSize||.5;t.absoluteConeSize&&(A=t.absoluteConeSize*k),a.coneScale=A;y=0;for(var M=0;y<r.length;y++)for(var S=(x=r[y])[0],E=x[1],L=x[2],C=m[y],P=n.length(C)*k,I=0;I<8;I++){a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vertexIntensity.push(P,P,P),a.vertexIntensity.push(P,P,P);var O=a.positions.length;a.cells.push([O-6,O-5,O-4],[O-3,O-2,O-1])}return a};var i=t("./lib/shaders");e.exports.createMesh=t("./create_mesh"),e.exports.createConeMesh=function(t,r){return e.exports.createMesh(t,r,{shaders:i,traceType:"cone"})}},{"./create_mesh":80,"./lib/shaders":81,"gl-vec3":169}],80:[function(t,e,r){"use strict";var n=t("gl-shader"),i=t("gl-buffer"),a=t("gl-vao"),o=t("gl-texture2d"),s=t("gl-mat4/multiply"),l=t("gl-mat4/invert"),c=t("ndarray"),u=t("colormap"),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e,r,n,i,a,o,s,l,c,u){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=i,this.triangleVectors=a,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=c,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=u,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=f,this._view=f,this._projection=f,this._resolution=[1,1]}var p=h.prototype;function d(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}function m(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,"lightPosition"in t&&(this.lightPosition=t.lightPosition),"opacity"in t&&(this.opacity=t.opacity),"ambient"in t&&(this.ambientLight=t.ambient),"diffuse"in t&&(this.diffuseLight=t.diffuse),"specular"in t&&(this.specularLight=t.specular),"roughness"in t&&(this.roughness=t.roughness),"fresnel"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=u({colormap:t,nshades:256,format:"rgba"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return c(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],f=[];this.cells=r,this.positions=n,this.vectors=i;var h=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,m=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],m=+t.vertexIntensityBounds[1];else for(var g=0;g<p.length;++g){var v=p[g];d=Math.min(d,v),m=Math.max(m,v)}else for(g=0;g<n.length;++g){v=n[g][2];d=Math.min(d,v),m=Math.max(m,v)}this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(g=0;g<n.length;++g)for(var y=n[g],x=0;x<3;++x)!isNaN(y[x])&&isFinite(y[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],y[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],y[x]));var b=0;t:for(g=0;g<r.length;++g){var _=r[g];switch(_.length){case 3:for(x=0;x<3;++x){y=n[T=_[x]];for(var w=0;w<3;++w)if(isNaN(y[w])||!isFinite(y[w]))continue t}for(x=0;x<3;++x){var T;y=n[T=_[2-x]];a.push(y[0],y[1],y[2],y[3]);var k=i[T];o.push(k[0],k[1],k[2],k[3]||0);var A,M=h;3===M.length?s.push(M[0],M[1],M[2],1):s.push(M[0],M[1],M[2],M[3]),A=p?[(p[T]-d)/(m-d),0]:[(y[2]-d)/(m-d),0],l.push(A[0],A[1]),f.push(g)}b+=1}}this.triangleCount=b,this.trianglePositions.update(a),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(f))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var c={model:r,view:n,projection:i,inverseModel:f.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};c.inverseModel=l(c.inverseModel,c.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);s(u,c.view,c.model),s(u,c.projection,u),l(u,u);for(o=0;o<3;++o)c.eyePosition[o]=u[12+o]/u[15];var h=u[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];c.lightPosition[o]=p/h}if(this.triangleCount>0){var m=this.triShader;m.bind(),m.uniforms=c,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return"cone"===this.traceType?i.index=Math.floor(r[1]/48):"streamtube"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},e.exports=function(t,e,r){var n=r.shaders;1===arguments.length&&(t=(e=t).gl);var s=d(t,n),l=m(t,n),u=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));u.generateMipmap(),u.minFilter=t.LINEAR_MIPMAP_LINEAR,u.magFilter=t.LINEAR;var f=i(t),p=i(t),g=i(t),v=i(t),y=i(t),x=a(t,[{buffer:f,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:g,type:t.FLOAT,size:4},{buffer:v,type:t.FLOAT,size:2},{buffer:p,type:t.FLOAT,size:4}]),b=new h(t,u,s,l,f,p,y,g,v,x,r.traceType||"cone");return b.update(e),b}},{colormap:53,"gl-buffer":78,"gl-mat4/invert":98,"gl-mat4/multiply":100,"gl-shader":132,"gl-texture2d":146,"gl-vao":150,ndarray:259}],81:[function(t,e,r){var n=t("glslify"),i=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n  // Return up-vector for only-z vector.\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n  // Assign z = 0, x = -b, y = a:\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n    return normalize(vec3(-v.y, v.x, 0.0));\n  } else {\n    return normalize(vec3(0.0, v.z, -v.y));\n  }\n}\n\n// Calculate the cone vertex and normal at the given index.\n//\n// The returned vertex is for a cone with its top at origin and height of 1.0,\n// pointing in the direction of the vector attribute.\n//\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\n// These vertices are used to make up the triangles of the cone by the following:\n//   segment + 0 top vertex\n//   segment + 1 perimeter vertex a+1\n//   segment + 2 perimeter vertex a\n//   segment + 3 center base vertex\n//   segment + 4 perimeter vertex a\n//   segment + 5 perimeter vertex a+1\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\n// To go from index to segment, floor(index / 6)\n// To go from segment to angle, 2*pi * (segment/segmentCount)\n// To go from index to segment index, index - (segment*6)\n//\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\n\n  const float segmentCount = 8.0;\n\n  float index = rawIndex - floor(rawIndex /\n    (segmentCount * 6.0)) *\n    (segmentCount * 6.0);\n\n  float segment = floor(0.001 + index/6.0);\n  float segmentIndex = index - (segment*6.0);\n\n  normal = -normalize(d);\n\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\n    return mix(vec3(0.0), -d, coneOffset);\n  }\n\n  float nextAngle = (\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\n  ) ? 1.0 : 0.0;\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\n\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\n  vec3 v2 = v1 - d;\n\n  vec3 u = getOrthogonalVector(d);\n  vec3 v = normalize(cross(u, d));\n\n  vec3 x = u * cos(angle) * length(d)*0.25;\n  vec3 y = v * sin(angle) * length(d)*0.25;\n  vec3 v3 = v2 + x + y;\n  if (segmentIndex < 3.0) {\n    vec3 tx = u * sin(angle);\n    vec3 ty = v * -cos(angle);\n    vec3 tangent = tx + ty;\n    normal = normalize(cross(v3 - v1, tangent));\n  }\n\n  if (segmentIndex == 0.0) {\n    return mix(d, vec3(0.0), coneOffset);\n  }\n  return v3;\n}\n\nattribute vec3 vector;\nattribute vec4 color, position;\nattribute vec2 uv;\n\nuniform float vectorScale, coneScale, coneOffset;\nuniform mat4 model, view, projection, inverseModel;\nuniform vec3 eyePosition, lightPosition;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  // Scale the vector magnitude to stay constant with\n  // model & view changes.\n  vec3 normal;\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n  //Lighting geometry parameters\n  vec4 cameraCoordinate = view * conePosition;\n  cameraCoordinate.xyz /= cameraCoordinate.w;\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\n  vec4 t_position  = view * conePosition;\n  gl_Position      = projection * t_position;\n\n  f_color          = color;\n  f_data           = conePosition.xyz;\n  f_position       = position.xyz;\n  f_uv             = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n  float NdotH = max(x, 0.0001);\n  float cos2Alpha = NdotH * NdotH;\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n  float roughness2 = roughness * roughness;\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n  return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n  vec3 lightDirection,\n  vec3 viewDirection,\n  vec3 surfaceNormal,\n  float roughness,\n  float fresnel) {\n\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n  //Half angle vector\n  vec3 H = normalize(lightDirection + viewDirection);\n\n  //Geometric term\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\n  float VdotH = max(dot(viewDirection, H), 0.000001);\n  float LdotH = max(dot(lightDirection, H), 0.000001);\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\n  float G = min(1.0, min(G1, G2));\n  \n  //Distribution term\n  float D = beckmannDistribution(NdotH, roughness);\n\n  //Fresnel term\n  float F = pow(1.0 - VdotN, fresnel);\n\n  //Multiply terms and done\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform sampler2D texture;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n  vec3 N = normalize(f_normal);\n  vec3 L = normalize(f_lightDirection);\n  vec3 V = normalize(f_eyeDirection);\n\n  if(gl_FrontFacing) {\n    N = -N;\n  }\n\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n\n  gl_FragColor = litColor * opacity;\n}\n"]),o=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n  // Return up-vector for only-z vector.\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n  // Assign z = 0, x = -b, y = a:\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n    return normalize(vec3(-v.y, v.x, 0.0));\n  } else {\n    return normalize(vec3(0.0, v.z, -v.y));\n  }\n}\n\n// Calculate the cone vertex and normal at the given index.\n//\n// The returned vertex is for a cone with its top at origin and height of 1.0,\n// pointing in the direction of the vector attribute.\n//\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\n// These vertices are used to make up the triangles of the cone by the following:\n//   segment + 0 top vertex\n//   segment + 1 perimeter vertex a+1\n//   segment + 2 perimeter vertex a\n//   segment + 3 center base vertex\n//   segment + 4 perimeter vertex a\n//   segment + 5 perimeter vertex a+1\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\n// To go from index to segment, floor(index / 6)\n// To go from segment to angle, 2*pi * (segment/segmentCount)\n// To go from index to segment index, index - (segment*6)\n//\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\n\n  const float segmentCount = 8.0;\n\n  float index = rawIndex - floor(rawIndex /\n    (segmentCount * 6.0)) *\n    (segmentCount * 6.0);\n\n  float segment = floor(0.001 + index/6.0);\n  float segmentIndex = index - (segment*6.0);\n\n  normal = -normalize(d);\n\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\n    return mix(vec3(0.0), -d, coneOffset);\n  }\n\n  float nextAngle = (\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\n  ) ? 1.0 : 0.0;\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\n\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\n  vec3 v2 = v1 - d;\n\n  vec3 u = getOrthogonalVector(d);\n  vec3 v = normalize(cross(u, d));\n\n  vec3 x = u * cos(angle) * length(d)*0.25;\n  vec3 y = v * sin(angle) * length(d)*0.25;\n  vec3 v3 = v2 + x + y;\n  if (segmentIndex < 3.0) {\n    vec3 tx = u * sin(angle);\n    vec3 ty = v * -cos(angle);\n    vec3 tangent = tx + ty;\n    normal = normalize(cross(v3 - v1, tangent));\n  }\n\n  if (segmentIndex == 0.0) {\n    return mix(d, vec3(0.0), coneOffset);\n  }\n  return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform float vectorScale, coneScale, coneOffset;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  vec3 normal;\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n  gl_Position = projection * view * conePosition;\n  f_id        = id;\n  f_position  = position.xyz;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3  clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n  gl_FragColor = vec4(pickId, f_id.xyz);\n}"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec4"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"vector",type:"vec3"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec4"},{name:"id",type:"vec4"},{name:"vector",type:"vec3"}]}},{glslify:231}],82:[function(t,e,r){e.exports={0:"NONE",1:"ONE",2:"LINE_LOOP",3:"LINE_STRIP",4:"TRIANGLES",5:"TRIANGLE_STRIP",6:"TRIANGLE_FAN",256:"DEPTH_BUFFER_BIT",512:"NEVER",513:"LESS",514:"EQUAL",515:"LEQUAL",516:"GREATER",517:"NOTEQUAL",518:"GEQUAL",519:"ALWAYS",768:"SRC_COLOR",769:"ONE_MINUS_SRC_COLOR",770:"SRC_ALPHA",771:"ONE_MINUS_SRC_ALPHA",772:"DST_ALPHA",773:"ONE_MINUS_DST_ALPHA",774:"DST_COLOR",775:"ONE_MINUS_DST_COLOR",776:"SRC_ALPHA_SATURATE",1024:"STENCIL_BUFFER_BIT",1028:"FRONT",1029:"BACK",1032:"FRONT_AND_BACK",1280:"INVALID_ENUM",1281:"INVALID_VALUE",1282:"INVALID_OPERATION",1285:"OUT_OF_MEMORY",1286:"INVALID_FRAMEBUFFER_OPERATION",2304:"CW",2305:"CCW",2849:"LINE_WIDTH",2884:"CULL_FACE",2885:"CULL_FACE_MODE",2886:"FRONT_FACE",2928:"DEPTH_RANGE",2929:"DEPTH_TEST",2930:"DEPTH_WRITEMASK",2931:"DEPTH_CLEAR_VALUE",2932:"DEPTH_FUNC",2960:"STENCIL_TEST",2961:"STENCIL_CLEAR_VALUE",2962:"STENCIL_FUNC",2963:"STENCIL_VALUE_MASK",2964:"STENCIL_FAIL",2965:"STENCIL_PASS_DEPTH_FAIL",2966:"STENCIL_PASS_DEPTH_PASS",2967:"STENCIL_REF",2968:"STENCIL_WRITEMASK",2978:"VIEWPORT",3024:"DITHER",3042:"BLEND",3088:"SCISSOR_BOX",3089:"SCISSOR_TEST",3106:"COLOR_CLEAR_VALUE",3107:"COLOR_WRITEMASK",3317:"UNPACK_ALIGNMENT",3333:"PACK_ALIGNMENT",3379:"MAX_TEXTURE_SIZE",3386:"MAX_VIEWPORT_DIMS",3408:"SUBPIXEL_BITS",3410:"RED_BITS",3411:"GREEN_BITS",3412:"BLUE_BITS",3413:"ALPHA_BITS",3414:"DEPTH_BITS",3415:"STENCIL_BITS",3553:"TEXTURE_2D",4352:"DONT_CARE",4353:"FASTEST",4354:"NICEST",5120:"BYTE",5121:"UNSIGNED_BYTE",5122:"SHORT",5123:"UNSIGNED_SHORT",5124:"INT",5125:"UNSIGNED_INT",5126:"FLOAT",5386:"INVERT",5890:"TEXTURE",6401:"STENCIL_INDEX",6402:"DEPTH_COMPONENT",6406:"ALPHA",6407:"RGB",6408:"RGBA",6409:"LUMINANCE",6410:"LUMINANCE_ALPHA",7680:"KEEP",7681:"REPLACE",7682:"INCR",7683:"DECR",7936:"VENDOR",7937:"RENDERER",7938:"VERSION",9728:"NEAREST",9729:"LINEAR",9984:"NEAREST_MIPMAP_NEAREST",9985:"LINEAR_MIPMAP_NEAREST",9986:"NEAREST_MIPMAP_LINEAR",9987:"LINEAR_MIPMAP_LINEAR",10240:"TEXTURE_MAG_FILTER",10241:"TEXTURE_MIN_FILTER",10242:"TEXTURE_WRAP_S",10243:"TEXTURE_WRAP_T",10497:"REPEAT",10752:"POLYGON_OFFSET_UNITS",16384:"COLOR_BUFFER_BIT",32769:"CONSTANT_COLOR",32770:"ONE_MINUS_CONSTANT_COLOR",32771:"CONSTANT_ALPHA",32772:"ONE_MINUS_CONSTANT_ALPHA",32773:"BLEND_COLOR",32774:"FUNC_ADD",32777:"BLEND_EQUATION_RGB",32778:"FUNC_SUBTRACT",32779:"FUNC_REVERSE_SUBTRACT",32819:"UNSIGNED_SHORT_4_4_4_4",32820:"UNSIGNED_SHORT_5_5_5_1",32823:"POLYGON_OFFSET_FILL",32824:"POLYGON_OFFSET_FACTOR",32854:"RGBA4",32855:"RGB5_A1",32873:"TEXTURE_BINDING_2D",32926:"SAMPLE_ALPHA_TO_COVERAGE",32928:"SAMPLE_COVERAGE",32936:"SAMPLE_BUFFERS",32937:"SAMPLES",32938:"SAMPLE_COVERAGE_VALUE",32939:"SAMPLE_COVERAGE_INVERT",32968:"BLEND_DST_RGB",32969:"BLEND_SRC_RGB",32970:"BLEND_DST_ALPHA",32971:"BLEND_SRC_ALPHA",33071:"CLAMP_TO_EDGE",33170:"GENERATE_MIPMAP_HINT",33189:"DEPTH_COMPONENT16",33306:"DEPTH_STENCIL_ATTACHMENT",33635:"UNSIGNED_SHORT_5_6_5",33648:"MIRRORED_REPEAT",33901:"ALIASED_POINT_SIZE_RANGE",33902:"ALIASED_LINE_WIDTH_RANGE",33984:"TEXTURE0",33985:"TEXTURE1",33986:"TEXTURE2",33987:"TEXTURE3",33988:"TEXTURE4",33989:"TEXTURE5",33990:"TEXTURE6",33991:"TEXTURE7",33992:"TEXTURE8",33993:"TEXTURE9",33994:"TEXTURE10",33995:"TEXTURE11",33996:"TEXTURE12",33997:"TEXTURE13",33998:"TEXTURE14",33999:"TEXTURE15",34e3:"TEXTURE16",34001:"TEXTURE17",34002:"TEXTURE18",34003:"TEXTURE19",34004:"TEXTURE20",34005:"TEXTURE21",34006:"TEXTURE22",34007:"TEXTURE23",34008:"TEXTURE24",34009:"TEXTURE25",34010:"TEXTURE26",34011:"TEXTURE27",34012:"TEXTURE28",34013:"TEXTURE29",34014:"TEXTURE30",34015:"TEXTURE31",34016:"ACTIVE_TEXTURE",34024:"MAX_RENDERBUFFER_SIZE",34041:"DEPTH_STENCIL",34055:"INCR_WRAP",34056:"DECR_WRAP",34067:"TEXTURE_CUBE_MAP",34068:"TEXTURE_BINDING_CUBE_MAP",34069:"TEXTURE_CUBE_MAP_POSITIVE_X",34070:"TEXTURE_CUBE_MAP_NEGATIVE_X",34071:"TEXTURE_CUBE_MAP_POSITIVE_Y",34072:"TEXTURE_CUBE_MAP_NEGATIVE_Y",34073:"TEXTURE_CUBE_MAP_POSITIVE_Z",34074:"TEXTURE_CUBE_MAP_NEGATIVE_Z",34076:"MAX_CUBE_MAP_TEXTURE_SIZE",34338:"VERTEX_ATTRIB_ARRAY_ENABLED",34339:"VERTEX_ATTRIB_ARRAY_SIZE",34340:"VERTEX_ATTRIB_ARRAY_STRIDE",34341:"VERTEX_ATTRIB_ARRAY_TYPE",34342:"CURRENT_VERTEX_ATTRIB",34373:"VERTEX_ATTRIB_ARRAY_POINTER",34466:"NUM_COMPRESSED_TEXTURE_FORMATS",34467:"COMPRESSED_TEXTURE_FORMATS",34660:"BUFFER_SIZE",34661:"BUFFER_USAGE",34816:"STENCIL_BACK_FUNC",34817:"STENCIL_BACK_FAIL",34818:"STENCIL_BACK_PASS_DEPTH_FAIL",34819:"STENCIL_BACK_PASS_DEPTH_PASS",34877:"BLEND_EQUATION_ALPHA",34921:"MAX_VERTEX_ATTRIBS",34922:"VERTEX_ATTRIB_ARRAY_NORMALIZED",34930:"MAX_TEXTURE_IMAGE_UNITS",34962:"ARRAY_BUFFER",34963:"ELEMENT_ARRAY_BUFFER",34964:"ARRAY_BUFFER_BINDING",34965:"ELEMENT_ARRAY_BUFFER_BINDING",34975:"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING",35040:"STREAM_DRAW",35044:"STATIC_DRAW",35048:"DYNAMIC_DRAW",35632:"FRAGMENT_SHADER",35633:"VERTEX_SHADER",35660:"MAX_VERTEX_TEXTURE_IMAGE_UNITS",35661:"MAX_COMBINED_TEXTURE_IMAGE_UNITS",35663:"SHADER_TYPE",35664:"FLOAT_VEC2",35665:"FLOAT_VEC3",35666:"FLOAT_VEC4",35667:"INT_VEC2",35668:"INT_VEC3",35669:"INT_VEC4",35670:"BOOL",35671:"BOOL_VEC2",35672:"BOOL_VEC3",35673:"BOOL_VEC4",35674:"FLOAT_MAT2",35675:"FLOAT_MAT3",35676:"FLOAT_MAT4",35678:"SAMPLER_2D",35680:"SAMPLER_CUBE",35712:"DELETE_STATUS",35713:"COMPILE_STATUS",35714:"LINK_STATUS",35715:"VALIDATE_STATUS",35716:"INFO_LOG_LENGTH",35717:"ATTACHED_SHADERS",35718:"ACTIVE_UNIFORMS",35719:"ACTIVE_UNIFORM_MAX_LENGTH",35720:"SHADER_SOURCE_LENGTH",35721:"ACTIVE_ATTRIBUTES",35722:"ACTIVE_ATTRIBUTE_MAX_LENGTH",35724:"SHADING_LANGUAGE_VERSION",35725:"CURRENT_PROGRAM",36003:"STENCIL_BACK_REF",36004:"STENCIL_BACK_VALUE_MASK",36005:"STENCIL_BACK_WRITEMASK",36006:"FRAMEBUFFER_BINDING",36007:"RENDERBUFFER_BINDING",36048:"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE",36049:"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME",36050:"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL",36051:"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE",36053:"FRAMEBUFFER_COMPLETE",36054:"FRAMEBUFFER_INCOMPLETE_ATTACHMENT",36055:"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT",36057:"FRAMEBUFFER_INCOMPLETE_DIMENSIONS",36061:"FRAMEBUFFER_UNSUPPORTED",36064:"COLOR_ATTACHMENT0",36096:"DEPTH_ATTACHMENT",36128:"STENCIL_ATTACHMENT",36160:"FRAMEBUFFER",36161:"RENDERBUFFER",36162:"RENDERBUFFER_WIDTH",36163:"RENDERBUFFER_HEIGHT",36164:"RENDERBUFFER_INTERNAL_FORMAT",36168:"STENCIL_INDEX8",36176:"RENDERBUFFER_RED_SIZE",36177:"RENDERBUFFER_GREEN_SIZE",36178:"RENDERBUFFER_BLUE_SIZE",36179:"RENDERBUFFER_ALPHA_SIZE",36180:"RENDERBUFFER_DEPTH_SIZE",36181:"RENDERBUFFER_STENCIL_SIZE",36194:"RGB565",36336:"LOW_FLOAT",36337:"MEDIUM_FLOAT",36338:"HIGH_FLOAT",36339:"LOW_INT",36340:"MEDIUM_INT",36341:"HIGH_INT",36346:"SHADER_COMPILER",36347:"MAX_VERTEX_UNIFORM_VECTORS",36348:"MAX_VARYING_VECTORS",36349:"MAX_FRAGMENT_UNIFORM_VECTORS",37440:"UNPACK_FLIP_Y_WEBGL",37441:"UNPACK_PREMULTIPLY_ALPHA_WEBGL",37442:"CONTEXT_LOST_WEBGL",37443:"UNPACK_COLORSPACE_CONVERSION_WEBGL",37444:"BROWSER_DEFAULT_WEBGL"}},{}],83:[function(t,e,r){var n=t("./1.0/numbers");e.exports=function(t){return n[t]}},{"./1.0/numbers":82}],84:[function(t,e,r){"use strict";e.exports=function(t){var e=t.gl,r=n(e),o=i(e,[{buffer:r,type:e.FLOAT,size:3,offset:0,stride:40},{buffer:r,type:e.FLOAT,size:4,offset:12,stride:40},{buffer:r,type:e.FLOAT,size:3,offset:28,stride:40}]),l=a(e);l.attributes.position.location=0,l.attributes.color.location=1,l.attributes.offset.location=2;var c=new s(e,r,o,l);return c.update(t),c};var n=t("gl-buffer"),i=t("gl-vao"),a=t("./shaders/index"),o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(t,e,r,n){this.gl=t,this.shader=n,this.buffer=e,this.vao=r,this.pixelRatio=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lineWidth=[1,1,1],this.capSize=[10,10,10],this.lineCount=[0,0,0],this.lineOffset=[0,0,0],this.opacity=1,this.hasAlpha=!1}var l=s.prototype;function c(t,e){for(var r=0;r<3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}l.isOpaque=function(){return!this.hasAlpha},l.isTransparent=function(){return this.hasAlpha},l.drawTransparent=l.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||o,i=r.projection=t.projection||o;r.model=t.model||o,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var a=n[12],s=n[13],l=n[14],c=n[15],u=(t._ortho||!1?2:1)*this.pixelRatio*(i[3]*a+i[7]*s+i[11]*l+i[15]*c)/e.drawingBufferHeight;this.vao.bind();for(var f=0;f<3;++f)e.lineWidth(this.lineWidth[f]*this.pixelRatio),r.capSize=this.capSize[f]*u,this.lineCount[f]&&e.drawArrays(e.LINES,this.lineOffset[f],this.lineCount[f]);this.vao.unbind()};var u=function(){for(var t=new Array(3),e=0;e<3;++e){for(var r=[],n=1;n<=2;++n)for(var i=-1;i<=1;i+=2){var a=[0,0,0];a[(n+e)%3]=i,r.push(a)}t[e]=r}return t}();function f(t,e,r,n){for(var i=u[n],a=0;a<i.length;++a){var o=i[a];t.push(e[0],e[1],e[2],r[0],r[1],r[2],r[3],o[0],o[1],o[2])}return i.length}l.update=function(t){"lineWidth"in(t=t||{})&&(this.lineWidth=t.lineWidth,Array.isArray(this.lineWidth)||(this.lineWidth=[this.lineWidth,this.lineWidth,this.lineWidth])),"capSize"in t&&(this.capSize=t.capSize,Array.isArray(this.capSize)||(this.capSize=[this.capSize,this.capSize,this.capSize])),this.hasAlpha=!1,"opacity"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var e=t.color||[[0,0,0],[0,0,0],[0,0,0]],r=t.position,n=t.error;if(Array.isArray(e[0])||(e=[e,e,e]),r&&n){var i=[],a=r.length,o=0;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.lineCount=[0,0,0];for(var s=0;s<3;++s){this.lineOffset[s]=o;t:for(var l=0;l<a;++l){for(var u=r[l],h=0;h<3;++h)if(isNaN(u[h])||!isFinite(u[h]))continue t;var p=n[l],d=e[s];if(Array.isArray(d[0])&&(d=e[l]),3===d.length?d=[d[0],d[1],d[2],1]:4===d.length&&(d=[d[0],d[1],d[2],d[3]],!this.hasAlpha&&d[3]<1&&(this.hasAlpha=!0)),!isNaN(p[0][s])&&!isNaN(p[1][s])){var m;if(p[0][s]<0)(m=u.slice())[s]+=p[0][s],i.push(u[0],u[1],u[2],d[0],d[1],d[2],d[3],0,0,0,m[0],m[1],m[2],d[0],d[1],d[2],d[3],0,0,0),c(this.bounds,m),o+=2+f(i,m,d,s);if(p[1][s]>0)(m=u.slice())[s]+=p[1][s],i.push(u[0],u[1],u[2],d[0],d[1],d[2],d[3],0,0,0,m[0],m[1],m[2],d[0],d[1],d[2],d[3],0,0,0),c(this.bounds,m),o+=2+f(i,m,d,s)}}this.lineCount[s]=o-this.lineOffset[s]}this.buffer.update(i)}},l.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()}},{"./shaders/index":85,"gl-buffer":78,"gl-vao":150}],85:[function(t,e,r){"use strict";var n=t("glslify"),i=t("gl-shader"),a=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, offset;\nattribute vec4 color;\nuniform mat4 model, view, projection;\nuniform float capSize;\nvarying vec4 fragColor;\nvarying vec3 fragPosition;\n\nvoid main() {\n  vec4 worldPosition  = model * vec4(position, 1.0);\n  worldPosition       = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\n  gl_Position         = projection * view * worldPosition;\n  fragColor           = color;\n  fragPosition        = position;\n}"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float opacity;\nvarying vec3 fragPosition;\nvarying vec4 fragColor;\n\nvoid main() {\n  if (\n    outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\n    fragColor.a * opacity == 0.\n  ) discard;\n\n  gl_FragColor = opacity * fragColor;\n}"]);e.exports=function(t){return i(t,a,o,null,[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"offset",type:"vec3"}])}},{"gl-shader":132,glslify:231}],86:[function(t,e,r){"use strict";var n=t("gl-texture2d");e.exports=function(t,e,r,n){i||(i=t.FRAMEBUFFER_UNSUPPORTED,a=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var c=t.getExtension("WEBGL_draw_buffers");!l&&c&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var i=new Array(r),a=0;a<n;++a)i[a]=t.COLOR_ATTACHMENT0+a;for(a=n;a<r;++a)i[a]=t.NONE;l[n]=i}}(t,c);Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]);if("number"!=typeof e)throw new Error("gl-fbo: Missing shape parameter");var u=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>u||r<0||r>u)throw new Error("gl-fbo: Parameters are too large for FBO");var f=1;if("color"in(n=n||{})){if((f=Math.max(0|n.color,0))<0)throw new Error("gl-fbo: Must specify a nonnegative number of colors");if(f>1){if(!c)throw new Error("gl-fbo: Multiple draw buffer extension not supported");if(f>t.getParameter(c.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error("gl-fbo: Context does not support "+f+" draw buffers")}}var h=t.UNSIGNED_BYTE,p=t.getExtension("OES_texture_float");if(n.float&&f>0){if(!p)throw new Error("gl-fbo: Context does not support floating point textures");h=t.FLOAT}else n.preferFloat&&f>0&&p&&(h=t.FLOAT);var m=!0;"depth"in n&&(m=!!n.depth);var g=!1;"stencil"in n&&(g=!!n.stencil);return new d(t,e,r,h,f,m,g,c)};var i,a,o,s,l=null;function c(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function u(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function f(t){switch(t){case i:throw new Error("gl-fbo: Framebuffer unsupported");case a:throw new Error("gl-fbo: Framebuffer incomplete attachment");case o:throw new Error("gl-fbo: Framebuffer incomplete dimensions");case s:throw new Error("gl-fbo: Framebuffer incomplete missing attachment");default:throw new Error("gl-fbo: Framebuffer failed for unspecified reason")}}function h(t,e,r,i,a,o){if(!i)return null;var s=n(t,e,r,a,i);return s.magFilter=t.NEAREST,s.minFilter=t.NEAREST,s.mipSamples=1,s.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,o,t.TEXTURE_2D,s.handle,0),s}function p(t,e,r,n,i){var a=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function d(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var d=0;d<i;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var m=this,g=[0|e,0|r];Object.defineProperties(g,{0:{get:function(){return m._shape[0]},set:function(t){return m.width=t}},1:{get:function(){return m._shape[1]},set:function(t){return m.height=t}}}),this._shapeVector=g,function(t){var e=c(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),i=t._shape[0],a=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,m=t._useDepth,g=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var v=0;v<o;++v)t.color[v]=h(r,i,a,g,r.RGBA,r.COLOR_ATTACHMENT0+v);0===o?(t._color_rb=p(r,i,a,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var y=r.getExtension("WEBGL_depth_texture");y?d?t.depth=h(r,i,a,y.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):m&&(t.depth=h(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):m&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):m?t._depth_rb=p(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null);for(v=0;v<t.color.length;++v)t.color[v].dispose(),t.color[v]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),u(r,e),f(x)}u(r,e)}(this)}var m=d.prototype;function g(t,e,r){if(t._destroyed)throw new Error("gl-fbo: Can't resize destroyed FBO");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,i=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>i||r<0||r>i)throw new Error("gl-fbo: Can't resize FBO, invalid dimensions");t._shape[0]=e,t._shape[1]=r;for(var a=c(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),u(n,a),f(s)),u(n,a)}}Object.defineProperties(m,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error("gl-fbo: Shape vector must be length 2");var e=0|t[0],r=0|t[1];return g(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return g(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,g(this,this._shape[0],t),t},enumerable:!1}}),m.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},m.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},{"gl-texture2d":146}],87:[function(t,e,r){var n=t("sprintf-js").sprintf,i=t("gl-constants/lookup"),a=t("glsl-shader-name"),o=t("add-line-numbers");e.exports=function(t,e,r){"use strict";var s=a(e)||"of unknown name (see npm glsl-shader-name)",l="unknown type";void 0!==r&&(l=r===i.FRAGMENT_SHADER?"fragment":"vertex");for(var c=n("Error compiling %s shader %s:\n",l,s),u=n("%s%s",c,t),f=t.split("\n"),h={},p=0;p<f.length;p++){var d=f[p];if(""!==d&&"\0"!==d){var m=parseInt(d.split(":")[2]);if(isNaN(m))throw new Error(n("Could not parse error: %s",d));h[m]=d}}var g=o(e).split("\n");for(p=0;p<g.length;p++)if(h[p+3]||h[p+2]||h[p+1]){var v=g[p];if(c+=v+"\n",h[p+1]){var y=h[p+1];y=y.substr(y.split(":",3).join(":").length+1).trim(),c+=n("^^^ %s\n\n",y)}}return{long:c.trim(),short:u.trim()}}},{"add-line-numbers":9,"gl-constants/lookup":83,"glsl-shader-name":223,"sprintf-js":301}],88:[function(t,e,r){"use strict";e.exports=function(t,e){var r=t.gl,n=o(r,l.vertex,l.fragment),i=o(r,l.pickVertex,l.pickFragment),a=s(r),u=s(r),f=s(r),h=s(r),p=new c(t,n,i,a,u,f,h);return p.update(e),t.addObject(p),p};var n=t("binary-search-bounds"),i=t("iota-array"),a=t("typedarray-pool"),o=t("gl-shader"),s=t("gl-buffer"),l=t("./lib/shaders");function c(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var u,f=c.prototype,h=[0,0,1,0,0,1,1,0,1,1,0,1];f.draw=(u=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var i=t.gl,a=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=a[2]-a[0],c=a[3]-a[1];u[0]=2*o/l,u[4]=2*s/c,u[6]=2*(r[0]-a[0])/l-1,u[7]=2*(r[1]-a[1])/c-1,e.bind();var f=e.uniforms;f.viewTransform=u,f.shape=this.shape;var h=e.attributes;this.positionBuffer.bind(),h.position.pointer(),this.weightBuffer.bind(),h.weight.pointer(i.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),h.color.pointer(i.UNSIGNED_BYTE,!0),i.drawArrays(i.TRIANGLES,0,n)}}),f.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,c=a[2]-a[0],u=a[3]-a[1],f=l[2]-l[0],h=l[3]-l[1];t[0]=2*c/f,t[4]=2*u/h,t[6]=2*(a[0]-l[0])/f-1,t[7]=2*(a[1]-l[1])/h-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var m=i.attributes;return this.positionBuffer.bind(),m.position.pointer(),this.weightBuffer.bind(),m.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),m.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r<n||r>=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},f.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var c,u,f,p,d=t.colorLevels||[0],m=t.colorValues||[0,0,0,1],g=d.length,v=this.bounds;l?(c=v[0]=r[0],u=v[1]=o[0],f=v[2]=r[r.length-1],p=v[3]=o[o.length-1]):(c=v[0]=r[0]+(r[1]-r[0])/2,u=v[1]=o[0]+(o[1]-o[0])/2,f=v[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=v[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var y=1/(f-c),x=1/(p-u),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(h.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),A=a.mallocUint8(2*w),M=a.mallocUint32(w),S=0,E=l?b-1:b,L=l?_-1:_,C=0;C<L;++C){var P,I;l?(P=x*(o[C]-u),I=x*(o[C+1]-u)):(P=C<_-1?x*(o[C]-(o[C+1]-o[C])/2-u):x*(o[C]-(o[C]-o[C-1])/2-u),I=C<_-1?x*(o[C]+(o[C+1]-o[C])/2-u):x*(o[C]+(o[C]-o[C-1])/2-u));for(var O=0;O<E;++O){var z,D;l?(z=y*(r[O]-c),D=y*(r[O+1]-c)):(z=O<b-1?y*(r[O]-(r[O+1]-r[O])/2-c):y*(r[O]-(r[O]-r[O-1])/2-c),D=O<b-1?y*(r[O]+(r[O+1]-r[O])/2-c):y*(r[O]+(r[O]-r[O-1])/2-c));for(var R=0;R<h.length;R+=2){var F,B,N,j,U=h[R],V=h[R+1],H=s[l?(C+V)*b+(O+U):C*b+O],q=n.le(d,H);if(q<0)F=m[0],B=m[1],N=m[2],j=m[3];else if(q===g-1)F=m[4*g-4],B=m[4*g-3],N=m[4*g-2],j=m[4*g-1];else{var G=(H-d[q])/(d[q+1]-d[q]),Y=1-G,W=4*q,X=4*(q+1);F=Y*m[W]+G*m[X],B=Y*m[W+1]+G*m[X+1],N=Y*m[W+2]+G*m[X+2],j=Y*m[W+3]+G*m[X+3]}T[4*S]=255*F,T[4*S+1]=255*B,T[4*S+2]=255*N,T[4*S+3]=255*j,k[2*S]=.5*z+.5*D,k[2*S+1]=.5*P+.5*I,A[2*S]=U,A[2*S+1]=V,M[S]=C*b+O,S+=1}}}this.positionBuffer.update(k),this.weightBuffer.update(A),this.colorBuffer.update(T),this.idBuffer.update(M),a.free(k),a.free(T),a.free(A),a.free(M)},f.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},{"./lib/shaders":89,"binary-search-bounds":31,"gl-buffer":78,"gl-shader":132,"iota-array":235,"typedarray-pool":308}],89:[function(t,e,r){"use strict";var n=t("glslify");e.exports={fragment:n(["precision lowp float;\n#define GLSLIFY 1\nvarying vec4 fragColor;\nvoid main() {\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\n}\n"]),vertex:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec4 color;\nattribute vec2 weight;\n\nuniform vec2 shape;\nuniform mat3 viewTransform;\n\nvarying vec4 fragColor;\n\nvoid main() {\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\n  fragColor = color;\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\n}\n"]),pickFragment:n(["precision mediump float;\n#define GLSLIFY 1\n\nvarying vec4 fragId;\nvarying vec2 vWeight;\n\nuniform vec2 shape;\nuniform vec4 pickOffset;\n\nvoid main() {\n  vec2 d = step(.5, vWeight);\n  vec4 id = fragId + pickOffset;\n  id.x += d.x + d.y*shape.x;\n\n  id.y += floor(id.x / 256.0);\n  id.x -= floor(id.x / 256.0) * 256.0;\n\n  id.z += floor(id.y / 256.0);\n  id.y -= floor(id.y / 256.0) * 256.0;\n\n  id.w += floor(id.z / 256.0);\n  id.z -= floor(id.z / 256.0) * 256.0;\n\n  gl_FragColor = id/255.;\n}\n"]),pickVertex:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec4 pickId;\nattribute vec2 weight;\n\nuniform vec2 shape;\nuniform mat3 viewTransform;\n\nvarying vec4 fragId;\nvarying vec2 vWeight;\n\nvoid main() {\n  vWeight = weight;\n\n  fragId = pickId;\n\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\n}\n"])}},{glslify:231}],90:[function(t,e,r){var n=t("glslify"),i=t("gl-shader"),a=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, nextPosition;\nattribute float arcLength, lineWidth;\nattribute vec4 color;\n\nuniform vec2 screenShape;\nuniform float pixelRatio;\nuniform mat4 model, view, projection;\n\nvarying vec4 fragColor;\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\n\nvec4 project(vec3 p) {\n  return projection * view * model * vec4(p, 1.0);\n}\n\nvoid main() {\n  vec4 startPoint = project(position);\n  vec4 endPoint   = project(nextPosition);\n\n  vec2 A = startPoint.xy / startPoint.w;\n  vec2 B =   endPoint.xy /   endPoint.w;\n\n  float clipAngle = atan(\n    (B.y - A.y) * screenShape.y,\n    (B.x - A.x) * screenShape.x\n  );\n\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\n    sin(clipAngle),\n    -cos(clipAngle)\n  ) / screenShape;\n\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\n\n  worldPosition = position;\n  pixelArcLength = arcLength;\n  fragColor = color;\n}\n"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3      clipBounds[2];\nuniform sampler2D dashTexture;\nuniform float     dashScale;\nuniform float     opacity;\n\nvarying vec3    worldPosition;\nvarying float   pixelArcLength;\nvarying vec4    fragColor;\n\nvoid main() {\n  if (\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\n    fragColor.a * opacity == 0.\n  ) discard;\n\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\n  if(dashWeight < 0.5) {\n    discard;\n  }\n  gl_FragColor = fragColor * opacity;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\n#define FLOAT_MAX  1.70141184e38\n#define FLOAT_MIN  1.17549435e-38\n\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\nvec4 packFloat(float v) {\n  float av = abs(v);\n\n  //Handle special cases\n  if(av < FLOAT_MIN) {\n    return vec4(0.0, 0.0, 0.0, 0.0);\n  } else if(v > FLOAT_MAX) {\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\n  } else if(v < -FLOAT_MAX) {\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\n  }\n\n  vec4 c = vec4(0,0,0,0);\n\n  //Compute exponent and mantissa\n  float e = floor(log2(av));\n  float m = av * pow(2.0, -e) - 1.0;\n\n  //Unpack mantissa\n  c[1] = floor(128.0 * m);\n  m -= c[1] / 128.0;\n  c[2] = floor(32768.0 * m);\n  m -= c[2] / 32768.0;\n  c[3] = floor(8388608.0 * m);\n\n  //Unpack exponent\n  float ebias = e + 127.0;\n  c[0] = floor(ebias / 2.0);\n  ebias -= c[0] * 2.0;\n  c[1] += floor(ebias) * 128.0;\n\n  //Unpack sign bit\n  c[0] += 128.0 * step(0.0, -v);\n\n  //Scale back to range\n  return c / 255.0;\n}\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform float pickId;\nuniform vec3 clipBounds[2];\n\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\nvarying vec4 fragColor;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\n\n  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\n}"]),l=[{name:"position",type:"vec3"},{name:"nextPosition",type:"vec3"},{name:"arcLength",type:"float"},{name:"lineWidth",type:"float"},{name:"color",type:"vec4"}];r.createShader=function(t){return i(t,a,o,null,l)},r.createPickShader=function(t){return i(t,a,s,null,l)}},{"gl-shader":132,glslify:231}],91:[function(t,e,r){"use strict";e.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=f(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=h(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),u=c(new Array(1024),[256,1,4]),p=0;p<1024;++p)u.data[p]=255;var d=a(e,u);d.wrap=e.REPEAT;var m=new v(e,r,o,s,l,d);return m.update(t),m};var n=t("gl-buffer"),i=t("gl-vao"),a=t("gl-texture2d"),o=new Uint8Array(4),s=new Float32Array(o.buffer);var l=t("binary-search-bounds"),c=t("ndarray"),u=t("./lib/shaders"),f=u.createShader,h=u.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function m(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function g(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function v(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var y=v.prototype;y.isTransparent=function(){return this.hasAlpha},y.isOpaque=function(){return!this.hasAlpha},y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.drawTransparent=y.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,clipBounds:m(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,pickId:this.pickId,clipBounds:m(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.update=function(t){var e,r;this.dirty=!0;var n=!!t.connectGaps;"dashScale"in t&&(this.dashScale=t.dashScale),this.hasAlpha=!1,"opacity"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var i=[],a=[],o=[],s=0,u=0,f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],h=t.position||t.positions;if(h){var p=t.color||t.colors||[0,0,0,1],m=t.lineWidth||1,g=!1;t:for(e=1;e<h.length;++e){var v,y,x,b=h[e-1],_=h[e];for(a.push(s),o.push(b.slice()),r=0;r<3;++r){if(isNaN(b[r])||isNaN(_[r])||!isFinite(b[r])||!isFinite(_[r])){if(!n&&i.length>0){for(var w=0;w<24;++w)i.push(i[i.length-12]);u+=2,g=!0}continue t}f[0][r]=Math.min(f[0][r],b[r],_[r]),f[1][r]=Math.max(f[1][r],b[r],_[r])}Array.isArray(p[0])?(v=p.length>e-1?p[e-1]:p.length>0?p[p.length-1]:[0,0,0,1],y=p.length>e?p[e]:p.length>0?p[p.length-1]:[0,0,0,1]):v=y=p,3===v.length&&(v=[v[0],v[1],v[2],1]),3===y.length&&(y=[y[0],y[1],y[2],1]),!this.hasAlpha&&v[3]<1&&(this.hasAlpha=!0),x=Array.isArray(m)?m.length>e-1?m[e-1]:m.length>0?m[m.length-1]:[0,0,0,1]:m;var T=s;if(s+=d(b,_),g){for(r=0;r<2;++r)i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,v[0],v[1],v[2],v[3]);u+=2,g=!1}i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,v[0],v[1],v[2],v[3],b[0],b[1],b[2],_[0],_[1],_[2],T,-x,v[0],v[1],v[2],v[3],_[0],_[1],_[2],b[0],b[1],b[2],s,-x,y[0],y[1],y[2],y[3],_[0],_[1],_[2],b[0],b[1],b[2],s,x,y[0],y[1],y[2],y[3]),u+=4}}if(this.buffer.update(i),a.push(s),o.push(h[h.length-1].slice()),this.bounds=f,this.vertexCount=u,this.points=o,this.arcLength=a,"dashes"in t){var k=t.dashes.slice();for(k.unshift(0),e=1;e<k.length;++e)k[e]=k[e-1]+k[e];var A=c(new Array(1024),[256,1,4]);for(e=0;e<256;++e){for(r=0;r<4;++r)A.set(e,0,r,0);1&l.le(k,k[k.length-1]*e/255)?A.set(e,0,0,0):A.set(e,0,0,255)}this.texture.setPixels(A)}},y.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()},y.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=function(t,e,r,n){return o[0]=n,o[1]=r,o[2]=e,o[3]=t,s[0]}(t.value[0],t.value[1],t.value[2],0),r=l.le(this.arcLength,e);if(r<0)return null;if(r===this.arcLength.length-1)return new g(this.arcLength[this.arcLength.length-1],this.points[this.points.length-1].slice(),r);for(var n=this.points[r],i=this.points[Math.min(r+1,this.points.length-1)],a=(e-this.arcLength[r])/(this.arcLength[r+1]-this.arcLength[r]),c=1-a,u=[0,0,0],f=0;f<3;++f)u[f]=c*n[f]+a*i[f];var h=Math.min(a<.5?r:r+1,this.points.length-1);return new g(e,u,h,this.points[h])}},{"./lib/shaders":90,"binary-search-bounds":31,"gl-buffer":78,"gl-texture2d":146,"gl-vao":150,ndarray:259}],92:[function(t,e,r){e.exports=function(t){var e=new Float32Array(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e}},{}],93:[function(t,e,r){e.exports=function(){var t=new Float32Array(16);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],94:[function(t,e,r){e.exports=function(t){var e=t[0],r=t[1],n=t[2],i=t[3],a=t[4],o=t[5],s=t[6],l=t[7],c=t[8],u=t[9],f=t[10],h=t[11],p=t[12],d=t[13],m=t[14],g=t[15];return(e*o-r*a)*(f*g-h*m)-(e*s-n*a)*(u*g-h*d)+(e*l-i*a)*(u*m-f*d)+(r*s-n*o)*(c*g-h*p)-(r*l-i*o)*(c*m-f*p)+(n*l-i*s)*(c*d-u*p)}},{}],95:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=r+r,s=n+n,l=i+i,c=r*o,u=n*o,f=n*s,h=i*o,p=i*s,d=i*l,m=a*o,g=a*s,v=a*l;return t[0]=1-f-d,t[1]=u+v,t[2]=h-g,t[3]=0,t[4]=u-v,t[5]=1-c-d,t[6]=p+m,t[7]=0,t[8]=h+g,t[9]=p-m,t[10]=1-c-f,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],96:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=n+n,l=i+i,c=a+a,u=n*s,f=n*l,h=n*c,p=i*l,d=i*c,m=a*c,g=o*s,v=o*l,y=o*c;return t[0]=1-(p+m),t[1]=f+y,t[2]=h-v,t[3]=0,t[4]=f-y,t[5]=1-(u+m),t[6]=d+g,t[7]=0,t[8]=h+v,t[9]=d-g,t[10]=1-(u+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},{}],97:[function(t,e,r){e.exports=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],98:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],c=e[7],u=e[8],f=e[9],h=e[10],p=e[11],d=e[12],m=e[13],g=e[14],v=e[15],y=r*s-n*o,x=r*l-i*o,b=r*c-a*o,_=n*l-i*s,w=n*c-a*s,T=i*c-a*l,k=u*m-f*d,A=u*g-h*d,M=u*v-p*d,S=f*g-h*m,E=f*v-p*m,L=h*v-p*g,C=y*L-x*E+b*S+_*M-w*A+T*k;if(!C)return null;return C=1/C,t[0]=(s*L-l*E+c*S)*C,t[1]=(i*E-n*L-a*S)*C,t[2]=(m*T-g*w+v*_)*C,t[3]=(h*w-f*T-p*_)*C,t[4]=(l*M-o*L-c*A)*C,t[5]=(r*L-i*M+a*A)*C,t[6]=(g*b-d*T-v*x)*C,t[7]=(u*T-h*b+p*x)*C,t[8]=(o*E-s*M+c*k)*C,t[9]=(n*M-r*E-a*k)*C,t[10]=(d*w-m*b+v*y)*C,t[11]=(f*b-u*w-p*y)*C,t[12]=(s*A-o*S-l*k)*C,t[13]=(r*S-n*A+i*k)*C,t[14]=(m*x-d*_-g*y)*C,t[15]=(u*_-f*x+h*y)*C,t}},{}],99:[function(t,e,r){var n=t("./identity");e.exports=function(t,e,r,i){var a,o,s,l,c,u,f,h,p,d,m=e[0],g=e[1],v=e[2],y=i[0],x=i[1],b=i[2],_=r[0],w=r[1],T=r[2];if(Math.abs(m-_)<1e-6&&Math.abs(g-w)<1e-6&&Math.abs(v-T)<1e-6)return n(t);f=m-_,h=g-w,p=v-T,d=1/Math.sqrt(f*f+h*h+p*p),a=x*(p*=d)-b*(h*=d),o=b*(f*=d)-y*p,s=y*h-x*f,(d=Math.sqrt(a*a+o*o+s*s))?(a*=d=1/d,o*=d,s*=d):(a=0,o=0,s=0);l=h*s-p*o,c=p*a-f*s,u=f*o-h*a,(d=Math.sqrt(l*l+c*c+u*u))?(l*=d=1/d,c*=d,u*=d):(l=0,c=0,u=0);return t[0]=a,t[1]=l,t[2]=f,t[3]=0,t[4]=o,t[5]=c,t[6]=h,t[7]=0,t[8]=s,t[9]=u,t[10]=p,t[11]=0,t[12]=-(a*m+o*g+s*v),t[13]=-(l*m+c*g+u*v),t[14]=-(f*m+h*g+p*v),t[15]=1,t}},{"./identity":97}],100:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],m=e[12],g=e[13],v=e[14],y=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*f+w*m,t[1]=x*i+b*l+_*h+w*g,t[2]=x*a+b*c+_*p+w*v,t[3]=x*o+b*u+_*d+w*y,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*f+w*m,t[5]=x*i+b*l+_*h+w*g,t[6]=x*a+b*c+_*p+w*v,t[7]=x*o+b*u+_*d+w*y,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*f+w*m,t[9]=x*i+b*l+_*h+w*g,t[10]=x*a+b*c+_*p+w*v,t[11]=x*o+b*u+_*d+w*y,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*f+w*m,t[13]=x*i+b*l+_*h+w*g,t[14]=x*a+b*c+_*p+w*v,t[15]=x*o+b*u+_*d+w*y,t}},{}],101:[function(t,e,r){e.exports=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t}},{}],102:[function(t,e,r){e.exports=function(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}},{}],103:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,A,M,S,E=n[0],L=n[1],C=n[2],P=Math.sqrt(E*E+L*L+C*C);if(Math.abs(P)<1e-6)return null;E*=P=1/P,L*=P,C*=P,i=Math.sin(r),a=Math.cos(r),o=1-a,s=e[0],l=e[1],c=e[2],u=e[3],f=e[4],h=e[5],p=e[6],d=e[7],m=e[8],g=e[9],v=e[10],y=e[11],x=E*E*o+a,b=L*E*o+C*i,_=C*E*o-L*i,w=E*L*o-C*i,T=L*L*o+a,k=C*L*o+E*i,A=E*C*o+L*i,M=L*C*o-E*i,S=C*C*o+a,t[0]=s*x+f*b+m*_,t[1]=l*x+h*b+g*_,t[2]=c*x+p*b+v*_,t[3]=u*x+d*b+y*_,t[4]=s*w+f*T+m*k,t[5]=l*w+h*T+g*k,t[6]=c*w+p*T+v*k,t[7]=u*w+d*T+y*k,t[8]=s*A+f*M+m*S,t[9]=l*A+h*M+g*S,t[10]=c*A+p*M+v*S,t[11]=u*A+d*M+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t}},{}],104:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[4]=a*i+c*n,t[5]=o*i+u*n,t[6]=s*i+f*n,t[7]=l*i+h*n,t[8]=c*i-a*n,t[9]=u*i-o*n,t[10]=f*i-s*n,t[11]=h*i-l*n,t}},{}],105:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i-c*n,t[1]=o*i-u*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+c*i,t[9]=o*n+u*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}},{}],106:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[4],u=e[5],f=e[6],h=e[7];e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i+c*n,t[1]=o*i+u*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=c*i-a*n,t[5]=u*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}},{}],107:[function(t,e,r){e.exports=function(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},{}],108:[function(t,e,r){e.exports=function(t,e,r){var n,i,a,o,s,l,c,u,f,h,p,d,m=r[0],g=r[1],v=r[2];e===t?(t[12]=e[0]*m+e[4]*g+e[8]*v+e[12],t[13]=e[1]*m+e[5]*g+e[9]*v+e[13],t[14]=e[2]*m+e[6]*g+e[10]*v+e[14],t[15]=e[3]*m+e[7]*g+e[11]*v+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=c,t[7]=u,t[8]=f,t[9]=h,t[10]=p,t[11]=d,t[12]=n*m+s*g+f*v+e[12],t[13]=i*m+l*g+h*v+e[13],t[14]=a*m+c*g+p*v+e[14],t[15]=o*m+u*g+d*v+e[15]);return t}},{}],109:[function(t,e,r){e.exports=function(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},{}],110:[function(t,e,r){"use strict";var n=t("barycentric"),i=t("polytope-closest-point/lib/closest_point_2d.js");function a(t,e){for(var r=[0,0,0,0],n=0;n<4;++n)for(var i=0;i<4;++i)r[i]+=t[4*n+i]*e[n];return r}function o(t,e,r,n,i){for(var o=a(n,a(r,a(e,[t[0],t[1],t[2],1]))),s=0;s<3;++s)o[s]/=o[3];return[.5*i[0]*(1+o[0]),.5*i[1]*(1-o[1])]}function s(t,e){for(var r=[0,0,0],n=0;n<t.length;++n)for(var i=t[n],a=e[n],o=0;o<3;++o)r[o]+=a*i[o];return r}e.exports=function(t,e,r,a,l,c){if(1===t.length)return[0,t[0].slice()];for(var u=new Array(t.length),f=0;f<t.length;++f)u[f]=o(t[f],r,a,l,c);var h=0,p=1/0;for(f=0;f<u.length;++f){for(var d=0,m=0;m<2;++m)d+=Math.pow(u[f][m]-e[m],2);d<p&&(p=d,h=f)}var g=function(t,e){if(2===t.length){for(var r=0,a=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),a+=Math.pow(e[o]-t[1][o],2);return r=Math.sqrt(r),a=Math.sqrt(a),r+a<1e-6?[1,0]:[a/(r+a),r/(a+r)]}if(3===t.length){var s=[0,0];return i(t[0],t[1],t[2],e,s),n(t,s)}return[]}(u,e),v=0;for(f=0;f<3;++f){if(g[f]<-.001||g[f]>1.0001)return null;v+=g[f]}if(Math.abs(v-1)>.001)return null;return[h,s(t,g),g]}},{barycentric:14,"polytope-closest-point/lib/closest_point_2d.js":270}],111:[function(t,e,r){var n=t("glslify"),i=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, normal;\nattribute vec4 color;\nattribute vec2 uv;\n\nuniform mat4 model\n           , view\n           , projection\n           , inverseModel;\nuniform vec3 eyePosition\n           , lightPosition;\n\nvarying vec3 f_normal\n           , f_lightDirection\n           , f_eyeDirection\n           , f_data;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvec4 project(vec3 p) {\n  return projection * view * model * vec4(p, 1.0);\n}\n\nvoid main() {\n  gl_Position      = project(position);\n\n  //Lighting geometry parameters\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\n  cameraCoordinate.xyz /= cameraCoordinate.w;\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\n  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n  f_color          = color;\n  f_data           = position;\n  f_uv             = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n  float NdotH = max(x, 0.0001);\n  float cos2Alpha = NdotH * NdotH;\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n  float roughness2 = roughness * roughness;\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n  return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n  vec3 lightDirection,\n  vec3 viewDirection,\n  vec3 surfaceNormal,\n  float roughness,\n  float fresnel) {\n\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n  //Half angle vector\n  vec3 H = normalize(lightDirection + viewDirection);\n\n  //Geometric term\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\n  float VdotH = max(dot(viewDirection, H), 0.000001);\n  float LdotH = max(dot(lightDirection, H), 0.000001);\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\n  float G = min(1.0, min(G1, G2));\n  \n  //Distribution term\n  float D = beckmannDistribution(NdotH, roughness);\n\n  //Fresnel term\n  float F = pow(1.0 - VdotN, fresnel);\n\n  //Multiply terms and done\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness\n            , fresnel\n            , kambient\n            , kdiffuse\n            , kspecular;\nuniform sampler2D texture;\n\nvarying vec3 f_normal\n           , f_lightDirection\n           , f_eyeDirection\n           , f_data;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (f_color.a == 0.0 ||\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\n  ) discard;\n\n  vec3 N = normalize(f_normal);\n  vec3 L = normalize(f_lightDirection);\n  vec3 V = normalize(f_eyeDirection);\n\n  if(gl_FrontFacing) {\n    N = -N;\n  }\n\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\n\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n\n  gl_FragColor = litColor * f_color.a;\n}\n"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 uv;\n\nuniform mat4 model, view, projection;\n\nvarying vec4 f_color;\nvarying vec3 f_data;\nvarying vec2 f_uv;\n\nvoid main() {\n  gl_Position = projection * view * model * vec4(position, 1.0);\n  f_color = color;\n  f_data  = position;\n  f_uv    = uv;\n}"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform sampler2D texture;\nuniform float opacity;\n\nvarying vec4 f_color;\nvarying vec3 f_data;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\n\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n}"]),l=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 uv;\nattribute float pointSize;\n\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\n  } else {\n    gl_Position = projection * view * model * vec4(position, 1.0);\n  }\n  gl_PointSize = pointSize;\n  f_color = color;\n  f_uv = uv;\n}"]),c=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform sampler2D texture;\nuniform float opacity;\n\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\n  if(dot(pointR, pointR) > 0.25) {\n    discard;\n  }\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n}"]),u=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  gl_Position = projection * view * model * vec4(position, 1.0);\n  f_id        = id;\n  f_position  = position;\n}"]),f=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3  clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n  gl_FragColor = vec4(pickId, f_id.xyz);\n}"]),h=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3  position;\nattribute float pointSize;\nattribute vec4  id;\n\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\n  } else {\n    gl_Position  = projection * view * model * vec4(position, 1.0);\n    gl_PointSize = pointSize;\n  }\n  f_id         = id;\n  f_position   = position;\n}"]),p=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\n\nuniform mat4 model, view, projection;\n\nvoid main() {\n  gl_Position = projection * view * model * vec4(position, 1.0);\n}"]),d=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec3 contourColor;\n\nvoid main() {\n  gl_FragColor = vec4(contourColor, 1.0);\n}\n"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec3"},{name:"normal",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"}]},r.wireShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"}]},r.pointShader={vertex:l,fragment:c,attributes:[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"pointSize",type:"float"}]},r.pickShader={vertex:u,fragment:f,attributes:[{name:"position",type:"vec3"},{name:"id",type:"vec4"}]},r.pointPickShader={vertex:h,fragment:f,attributes:[{name:"position",type:"vec3"},{name:"pointSize",type:"float"},{name:"id",type:"vec4"}]},r.contourShader={vertex:p,fragment:d,attributes:[{name:"position",type:"vec3"}]}},{glslify:231}],112:[function(t,e,r){"use strict";var n=t("gl-shader"),i=t("gl-buffer"),a=t("gl-vao"),o=t("gl-texture2d"),s=t("normals"),l=t("gl-mat4/multiply"),c=t("gl-mat4/invert"),u=t("ndarray"),f=t("colormap"),h=t("simplicial-complex-contour"),p=t("typedarray-pool"),d=t("./lib/shaders"),m=t("./lib/closest-point"),g=d.meshShader,v=d.wireShader,y=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,T,k,A,M,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=u,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=c,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=g,this.edgeUVs=v,this.edgeIds=m,this.edgeVAO=y,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function A(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function M(t){var e=n(t,g.vertex,g.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}function S(t){var e=n(t,v.vertex,v.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}function E(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function C(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function P(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var c=r[l],u=0;u<2;++u){var f=c[0];2===c.length&&(f=c[u]);for(var d=n[f][0],m=n[f][1],g=i[f],v=1-g,y=this.positions[d],x=this.positions[m],b=0;b<3;++b)o[s++]=g*y[b]+v*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},k.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,"contourEnable"in t&&(this.contourEnable=t.contourEnable),"contourColor"in t&&(this.contourColor=t.contourColor),"lineWidth"in t&&(this.lineWidth=t.lineWidth),"lightPosition"in t&&(this.lightPosition=t.lightPosition),this.hasAlpha=!1,"opacity"in t&&(this.opacity=t.opacity,this.opacity<1&&(this.hasAlpha=!0)),"opacityscale"in t&&(this.opacityscale=t.opacityscale,this.hasAlpha=!0),"ambient"in t&&(this.ambientLight=t.ambient),"diffuse"in t&&(this.diffuseLight=t.diffuse),"specular"in t&&(this.specularLight=t.specular),"roughness"in t&&(this.roughness=t.roughness),"fresnel"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t,e){for(var r=f({colormap:t,nshades:256,format:"rgba"}),n=new Uint8Array(1024),i=0;i<256;++i){for(var a=r[i],o=0;o<3;++o)n[4*i+o]=a[o];n[4*i+3]=e?255*A(i/255,e):255*a[3]}return u(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var i=[],a=[],l=[],c=[],h=[],p=[],d=[],m=[],g=[],v=[],y=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,M=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=s.faceNormals(r,n,M)),T||w||(w=s.vertexNormals(r,n,k));var S=t.vertexColors,E=t.cellColors,L=t.meshColor||[1,1,1,1],C=t.vertexUVs,P=t.vertexIntensity,I=t.cellUVs,O=t.cellIntensity,z=1/0,D=-1/0;if(!C&&!I)if(P)if(t.vertexIntensityBounds)z=+t.vertexIntensityBounds[0],D=+t.vertexIntensityBounds[1];else for(var R=0;R<P.length;++R){var F=P[R];z=Math.min(z,F),D=Math.max(D,F)}else if(O)if(t.cellIntensityBounds)z=+t.cellIntensityBounds[0],D=+t.cellIntensityBounds[1];else for(R=0;R<O.length;++R){F=O[R];z=Math.min(z,F),D=Math.max(D,F)}else for(R=0;R<n.length;++R){F=n[R][2];z=Math.min(z,F),D=Math.max(D,F)}this.intensity=P||(O||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n)),this.pickVertex=!(O||E);var B=t.pointSizes,N=t.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(R=0;R<n.length;++R)for(var j=n[R],U=0;U<3;++U)!isNaN(j[U])&&isFinite(j[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],j[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],j[U]));var V=0,H=0,q=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[W=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;v.push(j[0],j[1],j[2]),X=S?S[W]:E?E[R]:L,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===X.length?y.push(X[0],X[1],X[2],this.opacity):(y.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],x.push(Z[0],Z[1]),B?b.push(B[W]):b.push(N),_.push(R),q+=1;break;case 2:for(U=0;U<2;++U){j=n[W=G[U]];for(var Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t}for(U=0;U<2;++U){j=n[W=G[U]];p.push(j[0],j[1],j[2]),X=S?S[W]:E?E[R]:L,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===X.length?d.push(X[0],X[1],X[2],this.opacity):(d.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],m.push(Z[0],Z[1]),g.push(R)}H+=1;break;case 3:for(U=0;U<3;++U)for(j=n[W=G[U]],Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t;for(U=0;U<3;++U){var W,X,Z,J;j=n[W=G[2-U]];i.push(j[0],j[1],j[2]),(X=S?S[W]:E?E[R]:L)?this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===X.length?a.push(X[0],X[1],X[2],this.opacity):(a.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)):a.push(.5,.5,.5,1),Z=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],c.push(Z[0],Z[1]),J=w?w[W]:T[R],l.push(J[0],J[1],J[2]),h.push(R)}V+=1}}this.pointCount=q,this.edgeCount=H,this.triangleCount=V,this.pointPositions.update(v),this.pointColors.update(y),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(m),this.edgeIds.update(new Uint32Array(g)),this.trianglePositions.update(i),this.triangleColors.update(a),this.triangleUVs.update(c),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(h))}},k.drawTransparent=k.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,inverseModel:w.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=c(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);l(u,s.view,s.model),l(u,s.projection,u),c(u,u);for(o=0;o<3;++o)s.eyePosition[o]=u[12+o]/u[15];var f,h=u[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/h}this.triangleCount>0&&((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind());this.edgeCount>0&&this.lineWidth>0&&((f=this.lineShader).bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind());this.pointCount>0&&((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind());this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((f=this.contourShader).bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};((s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0)&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;a<r.length;++a)i[a]=n[r[a]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],c=this.positions[r[1]],u=this.positions[r[2]],f=[(l[0]+c[0]+u[0])/3,(l[1]+c[1]+u[1])/3,(l[2]+c[2]+u[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:f}}var h=m(i,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!h)return null;var p=h[2],d=0;for(a=0;a<r.length;++a)d+=p[a]*this.intensity[r[a]];return{position:h[1],index:r[h[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[h[0]]]}},k.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},e.exports=function(t,e){1===arguments.length&&(t=(e=t).gl);var r=t.getExtension("OES_standard_derivatives")||t.getExtension("MOZ_OES_standard_derivatives")||t.getExtension("WEBKIT_OES_standard_derivatives");if(!r)throw new Error("derivatives not supported");var n=M(t),s=S(t),l=E(t),c=L(t),f=C(t),h=P(t),p=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=i(t),m=i(t),g=i(t),v=i(t),y=i(t),x=a(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:m,type:t.FLOAT,size:4},{buffer:g,type:t.FLOAT,size:2},{buffer:v,type:t.FLOAT,size:3}]),b=i(t),_=i(t),w=i(t),k=i(t),A=a(t,[{buffer:b,type:t.FLOAT,size:3},{buffer:k,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:_,type:t.FLOAT,size:4},{buffer:w,type:t.FLOAT,size:2}]),I=i(t),O=i(t),z=i(t),D=i(t),R=i(t),F=a(t,[{buffer:I,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:O,type:t.FLOAT,size:4},{buffer:z,type:t.FLOAT,size:2},{buffer:D,type:t.FLOAT,size:1}]),B=i(t),N=a(t,[{buffer:B,type:t.FLOAT,size:3}]),j=new T(t,p,n,s,l,c,f,h,d,y,m,g,v,x,b,k,_,w,A,I,R,O,z,D,F,B,N);return j.update(e),j}},{"./lib/closest-point":110,"./lib/shaders":111,colormap:53,"gl-buffer":78,"gl-mat4/invert":98,"gl-mat4/multiply":100,"gl-shader":132,"gl-texture2d":146,"gl-vao":150,ndarray:259,normals:261,"simplicial-complex-contour":291,"typedarray-pool":308}],113:[function(t,e,r){"use strict";e.exports=function(t){var e=t.gl,r=n(e,[0,0,0,1,1,0,1,1]),s=i(e,a.boxVert,a.lineFrag);return new o(t,r,s)};var n=t("gl-buffer"),i=t("gl-shader"),a=t("./shaders");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,i){var a=this.plot,o=this.shader,c=a.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=i,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{"./shaders":116,"gl-buffer":78,"gl-shader":132}],114:[function(t,e,r){"use strict";e.exports=function(t){var e=t.gl,r=n(e),a=i(e,o.gridVert,o.gridFrag),l=i(e,o.tickVert,o.gridFrag);return new s(t,r,a,l)};var n=t("gl-buffer"),i=t("gl-shader"),a=t("binary-search-bounds"),o=t("./shaders");function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var c,u,f,h,p,d=s.prototype;d.draw=(c=[0,0],u=[0,0],f=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,i=t.gl,a=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,h=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,m=0;m<2;++m){var g=a[m],v=a[m+2]-g,y=.5*(o[m+2]+o[m]),x=o[m+2]-o[m];u[m]=2*v/x,c[m]=2*(g-y)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=c,r.uniforms.dataScale=u;var b=0;for(m=0;m<2;++m){f[0]=f[1]=0,f[m]=1,r.uniforms.dataAxis=f,r.uniforms.lineWidth=l[m]/(s[m+2]-s[m])*d,r.uniforms.color=h[m];var _=6*n[m].length;p[m]&&_&&i.drawArrays(i.TRIANGLES,b,_),b+=_}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],i=[0,0],o=[0,0];return function(){for(var s=this.plot,c=this.vbo,u=this.tickShader,f=this.ticks,h=s.gl,p=s._tickBounds,d=s.dataBox,m=s.viewBox,g=s.pixelRatio,v=s.screenBox,y=v[2]-v[0],x=v[3]-v[1],b=m[2]-m[0],_=m[3]-m[1],w=0;w<2;++w){var T=p[w],k=p[w+2]-T,A=.5*(d[w+2]+d[w]),M=d[w+2]-d[w];e[w]=2*k/M,t[w]=2*(T-A)/M}e[0]*=b/y,t[0]*=b/y,e[1]*=_/x,t[1]*=_/x,u.bind(),c.bind(),u.attributes.dataCoord.pointer();var S=u.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,L=s.tickMarkWidth,C=s.tickMarkColor,P=6*f[0].length,I=Math.min(a.ge(f[0],(d[0]-p[0])/(p[2]-p[0]),l),f[0].length),O=Math.min(a.gt(f[0],(d[2]-p[0])/(p[2]-p[0]),l),f[0].length),z=0+6*I,D=6*Math.max(0,O-I),R=Math.min(a.ge(f[1],(d[1]-p[1])/(p[3]-p[1]),l),f[1].length),F=Math.min(a.gt(f[1],(d[3]-p[1])/(p[3]-p[1]),l),f[1].length),B=P+6*R,N=6*Math.max(0,F-R);i[0]=2*(m[0]-E[1])/y-1,i[1]=(m[3]+m[1])/x-1,o[0]=E[1]*g/y,o[1]=L[1]*g/x,N&&(S.color=C[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(m[2]+m[0])/y-1,i[1]=2*(m[1]-E[0])/x-1,o[0]=L[0]*g/y,o[1]=E[0]*g/x,D&&(S.color=C[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,z,D)),i[0]=2*(m[2]+E[3])/y-1,i[1]=(m[3]+m[1])/x-1,o[0]=E[3]*g/y,o[1]=L[3]*g/x,N&&(S.color=C[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(m[2]+m[0])/y-1,i[1]=2*(m[3]+E[2])/x-1,o[0]=L[2]*g/y,o[1]=E[2]*g/x,D&&(S.color=C[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,z,D))}}(),d.update=(h=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),i=(this.plot.zeroLineEnable,0),a=[[],[]],o=0;o<2;++o)for(var s=a[o],l=e[o],c=r[o],u=r[o+2],f=0;f<l.length;++f){var d=(l[f].x-c)/(u-c);s.push(d);for(var m=0;m<6;++m)n[i++]=d,n[i++]=h[m],n[i++]=p[m]}this.ticks=a,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},{"./shaders":116,"binary-search-bounds":31,"gl-buffer":78,"gl-shader":132}],115:[function(t,e,r){"use strict";e.exports=function(t){var e=t.gl,r=n(e,[-1,-1,-1,1,1,-1,1,1]),s=i(e,a.lineVert,a.lineFrag);return new o(t,r,s)};var n=t("gl-buffer"),i=t("gl-shader"),a=t("./shaders");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,i,a){var o=this.plot,c=this.shader,u=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,c.uniforms.start=s,c.uniforms.end=l,c.uniforms.width=i*o.pixelRatio,c.uniforms.color=a,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{"./shaders":116,"gl-buffer":78,"gl-shader":132}],116:[function(t,e,r){"use strict";var n=t("glslify"),i=n(["precision lowp float;\n#define GLSLIFY 1\nuniform vec4 color;\nvoid main() {\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\n}\n"]);e.exports={lineVert:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 coord;\n\nuniform vec4 screenBox;\nuniform vec2 start, end;\nuniform float width;\n\nvec2 perp(vec2 v) {\n  return vec2(v.y, -v.x);\n}\n\nvec2 screen(vec2 v) {\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\n}\n\nvoid main() {\n  vec2 delta = normalize(perp(start - end));\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\n}\n"]),lineFrag:i,textVert:n(["#define GLSLIFY 1\nattribute vec3 textCoordinate;\n\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\nuniform float angle;\n\nvoid main() {\n  float dataOffset  = textCoordinate.z;\n  vec2 glyphOffset  = textCoordinate.xy;\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\n    glyphMatrix * glyphOffset * textScale + screenOffset;\n  gl_Position = vec4(screenCoordinate, 0, 1);\n}\n"]),textFrag:i,gridVert:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 dataCoord;\n\nuniform vec2 dataAxis, dataShift, dataScale;\nuniform float lineWidth;\n\nvoid main() {\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\n  gl_Position = vec4(pos, 0, 1);\n}\n"]),gridFrag:i,boxVert:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 coord;\n\nuniform vec4 screenBox;\nuniform vec2 lo, hi;\n\nvec2 screen(vec2 v) {\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\n}\n\nvoid main() {\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\n}\n"]),tickVert:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 dataCoord;\n\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\n\nvoid main() {\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\n}\n"])}},{glslify:231}],117:[function(t,e,r){"use strict";e.exports=function(t){var e=t.gl,r=n(e),a=i(e,s.textVert,s.textFrag);return new l(t,r,a)};var n=t("gl-buffer"),i=t("gl-shader"),a=t("text-cache"),o=t("binary-search-bounds"),s=t("./shaders");function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var c,u,f,h,p,d,m=l.prototype;m.drawTicks=(c=[0,0],u=[0,0],f=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],i=this.tickOffset[t],a=e.gl,s=e.viewBox,l=e.dataBox,h=e.screenBox,p=e.pixelRatio,d=e.tickEnable,m=e.tickPad,g=e.tickColor,v=e.tickAngle,y=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],T=this.labelCount[t],k=o.lt(n,l[t]),A=o.le(n,l[t+2]);c[0]=c[1]=0,c[t]=1,u[t]=(s[2+t]+s[t])/(h[2+t]-h[t])-1;var M=2/h[2+(1^t)]-h[1^t];u[1^t]=M*s[1^t]-1,d[t]&&(u[1^t]-=M*p*m[t],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=g[t],r.uniforms.angle=v[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),y[t]&&T&&(u[1^t]-=M*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=u,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),u[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(u[1^t]+=M*p*m[t+2],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=g[t+2],r.uniforms.angle=v[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),y[t+2]&&T&&(u[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=u,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),m.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,c=r.pixelRatio;if(this.titleCount){for(var u=0;u<2;++u)e[u]=2*(o[u]*c-a[u])/(a[2+u]-a[u])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),m.bind=(h=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,c=.5*(n[o+2]+n[o]),u=n[o+2]-n[o],f=a[o],m=a[o+2]-f,g=i[o],v=i[o+2]-g;p[o]=2*l/u*m/v,h[o]=2*(s-c)/u*m/v}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=h,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),m.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,c=t.bounds;for(o=0;o<2;++o){var u=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e<h.length;++e){var p=h[e],d=p.x,m=p.text,g=p.font||"sans-serif";i=p.fontSize||12;for(var v=1/(c[o+2]-c[o]),y=c[o],x=m.split("\n"),b=0;b<x.length;b++)for(n=a(g,x[b]).data,r=0;r<n.length;r+=2)s.push(n[r]*i,-n[r+1]*i-b*i*1.2,(d-y)*v);u.push(Math.floor(s.length/3)),f.push(d)}this.tickOffset[o]=u,this.tickX[o]=f}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=a(t.labelFont[o],t.labels[o],{textAlign:"center"}).data,i=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=a(t.titleFont,t.title).data,i=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},m.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{"./shaders":116,"binary-search-bounds":31,"gl-buffer":78,"gl-shader":132,"text-cache":303}],118:[function(t,e,r){"use strict";e.exports=function(t){var e=t.gl,r=n(e,[e.drawingBufferWidth,e.drawingBufferHeight]),c=new l(e,r);return c.grid=i(c),c.text=a(c),c.line=o(c),c.box=s(c),c.update(t),c};var n=t("gl-select-static"),i=t("./lib/grid"),a=t("./lib/text"),o=t("./lib/line"),s=t("./lib/box");function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var c=l.prototype;function u(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function f(t,e){return t.x-e.x}c.setDirty=function(){this.dirty=this.pickDirty=!0},c.setOverlayDirty=function(){this.dirty=!0},c.nextDepthValue=function(){return this._depthCounter++/65536},c.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,i=this.pixelRatio,a=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var c=this.borderColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var u=this.backgroundColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var f=this.zeroLineEnable,h=this.zeroLineColor,p=this.zeroLineWidth;if(f[0]||f[1]){o.bind();for(var d=0;d<2;++d)if(f[d]&&n[d]<=0&&n[d+2]>=0){var m=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(m,e[1],m,e[3],p[d],h[d]):o.drawLine(e[0],m,e[2],m,p[d],h[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var g=this.borderLineEnable,v=this.borderLineWidth,y=this.borderLineColor;for(g[1]&&o.drawLine(r[0],r[1]-.5*v[1]*i,r[0],r[3]+.5*v[3]*i,v[1],y[1]),g[0]&&o.drawLine(r[0]-.5*v[0]*i,r[1],r[2]+.5*v[2]*i,r[1],v[0],y[0]),g[3]&&o.drawLine(r[2],r[1]-.5*v[1]*i,r[2],r[3]+.5*v[3]*i,v[3],y[3]),g[2]&&o.drawLine(r[0]-.5*v[0]*i,r[3],r[2]+.5*v[2]*i,r[3],v[2],y[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},c.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl,this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},c.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,i=this.viewBox,a=0|Math.round((t-i[0]/r)*n),o=0|Math.round((e-i[1]/r)*n),s=this.pickBuffer.query(a,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),c=this.objects,u=0;u<c.length;++u){var f=c[u].pick(a,o,l);if(f)return f}return null}},c.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},c.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},c.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},c.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]);this.screenBox;this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,i=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/i,10,10/i]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=u(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=u(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=u(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!("titleEnable"in t)||!!t.titleEnable,this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=u(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=u(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=u(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var a=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=a[s].slice(0);0!==l.length&&(l.sort(f),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:a}),this.text.update({bounds:o,ticks:a,labels:t.labels||["x","y"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||["sans-serif","sans-serif"],title:t.title||"",titleSize:t.titleSize||18,titleFont:t.titleFont||"sans-serif"}),this.static=!!t.static,this.setDirty()},c.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();this.objects.length=0;for(t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},c.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},c.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},c.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},c.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},{"./lib/box":113,"./lib/grid":114,"./lib/line":115,"./lib/text":117,"gl-select-static":131}],119:[function(t,e,r){"use strict";e.exports=function(t,e){t=t||document.body,e=e||{};var r=[.01,1/0];"distanceLimits"in e&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]);"zoomMin"in e&&(r[0]=e.zoomMin);"zoomMax"in e&&(r[1]=e.zoomMax);var c=i({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||"orbit",distanceLimits:r}),u=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],f=0,h=t.clientWidth,p=t.clientHeight,d={keyBindingMode:"rotate",enableWheel:!0,view:c,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:c.modes,_ortho:e._ortho||e.projection&&"orthographic"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,i=e-2*r;c.idle(e-r),c.recalcMatrix(i),c.flush(e-(100+2*r));for(var a=!0,o=c.computedMatrix,s=0;s<16;++s)a=a&&u[s]===o[s],u[s]=o[s];var l=t.clientWidth===h&&t.clientHeight===p;return h=t.clientWidth,p=t.clientHeight,a?!l:(f=Math.exp(c.computedRadius[0]),!0)},lookAt:function(t,e,r){c.lookAt(c.lastT(),t,e,r)},rotate:function(t,e,r){c.rotate(c.lastT(),t,e,r)},pan:function(t,e,r){c.pan(c.lastT(),t,e,r)},translate:function(t,e,r){c.translate(c.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return c.computedMatrix},set:function(t){return c.setMatrix(c.lastT(),t),c.computedMatrix},enumerable:!0},mode:{get:function(){return c.getMode()},set:function(t){var e=c.computedUp.slice(),r=c.computedEye.slice(),i=c.computedCenter.slice();if(c.setMode(t),"turntable"===t){var a=n();c._active.lookAt(a,r,i,e),c._active.lookAt(a+500,r,i,[0,0,1]),c._active.flush(a)}return c.getMode()},enumerable:!0},center:{get:function(){return c.computedCenter},set:function(t){return c.lookAt(c.lastT(),null,t),c.computedCenter},enumerable:!0},eye:{get:function(){return c.computedEye},set:function(t){return c.lookAt(c.lastT(),t),c.computedEye},enumerable:!0},up:{get:function(){return c.computedUp},set:function(t){return c.lookAt(c.lastT(),null,null,t),c.computedUp},enumerable:!0},distance:{get:function(){return f},set:function(t){return c.setDistance(c.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return c.getDistanceLimits(r)},set:function(t){return c.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener("contextmenu",(function(t){return t.preventDefault(),!1})),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,i,a){var o=d.keyBindingMode;if(!1!==o){var s="rotate"===o,l="pan"===o,u="zoom"===o,h=!!a.control,p=!!a.alt,m=!!a.shift,g=!!(1&e),v=!!(2&e),y=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(i-d._lastY),w=d.flipX?1:-1,T=d.flipY?1:-1,k=Math.PI*d.rotateSpeed,A=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&g&&!h&&!p&&!m||g&&!h&&!p&&m)&&c.rotate(A,w*k*b,-T*k*_,0),(l&&g&&!h&&!p&&!m||v||g&&h&&!p&&!m)&&c.pan(A,-d.translateSpeed*b*f,d.translateSpeed*_*f,0),u&&g&&!h&&!p&&!m||y||g&&!h&&p&&!m)){var M=-d.zoomSpeed*_/window.innerHeight*(A-c.lastT())*100;c.pan(A,0,0,f*(Math.exp(M)-1))}return d._lastX=r,d._lastY=i,d._lastMods=a,!0}}d.mouseListener=a(t,e),t.addEventListener("touchstart",(function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods)}),!!l&&{passive:!0}),t.addEventListener("touchmove",(function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener("touchend",(function(t){e(0,d._lastX,d._lastY,d._lastMods)}),!!l&&{passive:!0}),d.wheelListener=o(t,(function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,i=d.flipY?1:-1,a=n();if(Math.abs(t)>Math.abs(e))c.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-c.lastT())/20;c.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=t("right-now"),i=t("3d-view"),a=t("mouse-change"),o=t("mouse-wheel"),s=t("mouse-event-offset"),l=t("has-passive-events")},{"3d-view":7,"has-passive-events":232,"mouse-change":247,"mouse-event-offset":248,"mouse-wheel":250,"right-now":278}],120:[function(t,e,r){var n=t("glslify"),i=t("gl-shader"),a=n(["precision mediump float;\n#define GLSLIFY 1\nattribute vec2 position;\nvarying vec2 uv;\nvoid main() {\n  uv = position;\n  gl_Position = vec4(position, 0, 1);\n}"]),o=n(["precision mediump float;\n#define GLSLIFY 1\n\nuniform sampler2D accumBuffer;\nvarying vec2 uv;\n\nvoid main() {\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\n  gl_FragColor = min(vec4(1,1,1,1), accum);\n}"]);e.exports=function(t){return i(t,a,o,null,[{name:"position",type:"vec2"}])}},{"gl-shader":132,glslify:231}],121:[function(t,e,r){"use strict";var n=t("./camera.js"),i=t("gl-axes3d"),a=t("gl-axes3d/properties"),o=t("gl-spikes3d"),s=t("gl-select-static"),l=t("gl-fbo"),c=t("a-big-triangle"),u=t("mouse-change"),f=t("gl-mat4/perspective"),h=t("gl-mat4/ortho"),p=t("./lib/shader"),d=t("is-mobile")({tablet:!0,featureDetect:!0});function m(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function g(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}if(e>0){r=Math.round(Math.pow(10,e));return Math.ceil(t/r)*r}return Math.ceil(t)}function v(t){return"boolean"!=typeof t||t}e.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;if(!e){if(e=document.createElement("canvas"),t.container)t.container.appendChild(e);else document.body.appendChild(e)}var r=t.gl;r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext("webgl",e))||(r=t.getContext("experimental-webgl",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d}));if(!r)throw new Error("webgl not supported");var y=t.bounds||[[-10,-10,-10],[10,10,10]],x=new m,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&"orthographic"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||"turntable",_ortho:w},k=t.axes||{},A=i(r,k);A.enable=!k.disable;var M=t.spikes||{},S=o(r,M),E=[],L=[],C=[],P=[],I=!0,O=!0,z=new Array(16),D=new Array(16),R={view:null,projection:z,model:D,_ortho:!1},F=(O=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),B=t.cameraObject||n(e,T),N={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:B,axes:A,axesPixels:null,spikes:S,bounds:y,objects:E,shape:F,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:v(t.autoResize),autoBounds:v(t.autoBounds),autoScale:!!t.autoScale,autoCenter:v(t.autoCenter),clipToBounds:v(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:R,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,O=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},j=[r.drawingBufferWidth/N.pixelRatio|0,r.drawingBufferHeight/N.pixelRatio|0];function U(){if(!N._stopped&&N.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*N.pixelRatio),a=0|Math.ceil(n*N.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||"absolute",o.left="0px",o.top="0px",o.width=r+"px",o.height=n+"px",I=!0}}}N.autoResize&&U();function V(){for(var t=E.length,e=P.length,n=0;n<e;++n)C[n]=0;t:for(n=0;n<t;++n){var i=E[n],a=i.pickSlots;if(a){for(var o=0;o<e;++o)if(C[o]+a<255){L[n]=o,i.setPickBase(C[o]+1),C[o]+=a;continue t}var l=s(r,F);L[n]=e,P.push(l),C.push(a),i.setPickBase(1),e+=1}else L[n]=-1}for(;e>0&&0===C[e-1];)C.pop(),P.pop().dispose()}function H(){if(N.contextLost)return!0;r.isContextLost()&&(N.contextLost=!0,N.mouseListener.enabled=!1,N.selection.object=null,N.oncontextloss&&N.oncontextloss())}window.addEventListener("resize",U),N.update=function(t){N._stopped||(t=t||{},I=!0,O=!0)},N.add=function(t){N._stopped||(t.axes=A,E.push(t),L.push(-1),I=!0,O=!0,V())},N.remove=function(t){if(!N._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),I=!0,O=!0,V())}},N.dispose=function(){if(!N._stopped&&(N._stopped=!0,window.removeEventListener("resize",U),e.removeEventListener("webglcontextlost",H),N.mouseListener.enabled=!1,!N.contextLost)){A.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();b.dispose();for(t=0;t<P.length;++t)P[t].dispose();_.dispose(),r=null,A=null,S=null,E=[]}},N._mouseRotating=!1,N._prevButtons=0,N.enableMouseListeners=function(){N.mouseListener=u(e,(function(t,e,r){if(!N._stopped){var n=P.length,i=E.length,a=x.object;x.distance=1/0,x.mouse[0]=e,x.mouse[1]=r,x.object=null,x.screen=null,x.dataCoordinate=x.dataPosition=null;var o=!1;if(t&&N._prevButtons)N._mouseRotating=!0;else{N._mouseRotating&&(O=!0),N._mouseRotating=!1;for(var s=0;s<n;++s){var l=P[s].query(e,j[1]-r-1,N.pickRadius);if(l){if(l.distance>x.distance)continue;for(var c=0;c<i;++c){var u=E[c];if(L[c]===s){var f=u.pick(l);f&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=u,x.index=f.distance,x.dataPosition=f.position,x.dataCoordinate=f.dataCoordinate,x.data=f,o=!0)}}}}}a&&a!==x.object&&(a.highlight&&a.highlight(null),I=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),I=!0),(o=o||x.object!==a)&&N.onselect&&N.onselect(x),1&t&&!(1&N._prevButtons)&&N.onclick&&N.onclick(x),N._prevButtons=t}}))},e.addEventListener("webglcontextlost",H);var q=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],G=[q[0].slice(),q[1].slice()];function Y(){if(!H()){U();var t=N.camera.tick();R.view=N.camera.matrix,I=I||t,O=O||t,A.pixelRatio=N.pixelRatio,S.pixelRatio=N.pixelRatio;var e=E.length,n=q[0],i=q[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<e;++o){(C=E[o]).pixelRatio=N.pixelRatio,C.axes=N.axes,I=I||!!C.dirty,O=O||!!C.dirty;var s=C.bounds;if(s)for(var l=s[0],u=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),i[p]=Math.max(i[p],u[p])}var d=N.bounds;if(N.autoBounds)for(p=0;p<3;++p){if(i[p]<n[p])n[p]=-1,i[p]=1;else{n[p]===i[p]&&(n[p]-=1,i[p]+=1);var m=.05*(i[p]-n[p]);n[p]=n[p]-m,i[p]=i[p]+m}d[0][p]=n[p],d[1][p]=i[p]}var v=!1;for(p=0;p<3;++p)v=v||G[0][p]!==d[0][p]||G[1][p]!==d[1][p],G[0][p]=d[0][p],G[1][p]=d[1][p];if(O=O||v,I=I||v){if(v){var y=[0,0,0];for(o=0;o<3;++o)y[o]=g((d[1][o]-d[0][o])/10);A.autoTicks?A.update({bounds:d,tickSpacing:y}):A.update({bounds:d})}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;F[0]=T,F[1]=k,j[0]=0|Math.max(T/N.pixelRatio,1),j[1]=0|Math.max(k/N.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,i=n.projection,a=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,c=t.zFar,u=t.fovy,p=o/s;e?(h(i,-p,p,-1,1,l,c),n._ortho=!0):(f(i,u,p,l,c),n._ortho=!1);for(var d=0;d<16;++d)a[d]=0;a[15]=1;var m=0;for(d=0;d<3;++d)m=Math.max(m,r[1][d]-r[0][d]);for(d=0;d<3;++d)t.autoScale?a[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):a[5*d]=1/m,t.autoCenter&&(a[12+d]=.5*-a[5*d]*(r[0][d]+r[1][d]))}(N,w);for(o=0;o<e;++o){(C=E[o]).axesBounds=d,N.clipToBounds&&(C.clipBounds=d)}x.object&&(N.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),O&&(O=!1,function(){if(!H()){r.colorMask(!0,!0,!0,!0),r.depthMask(!0),r.disable(r.BLEND),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL);for(var t=E.length,e=P.length,n=0;n<e;++n){var i=P[n];i.shape=j,i.begin();for(var a=0;a<t;++a)if(L[a]===n){var o=E[a];o.drawPick&&(o.pixelRatio=1,o.drawPick(R))}i.end()}}}()),N.axesPixels=a(N.axes,R,T,k),N.onrender&&N.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,k),N.clearRGBA(),r.depthMask(!0),r.colorMask(!0,!0,!0,!0),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL),r.disable(r.BLEND),r.disable(r.CULL_FACE);var M=!1;A.enable&&(M=M||A.isTransparent(),A.draw(R)),S.axes=A,x.object&&S.draw(R),r.disable(r.CULL_FACE);for(o=0;o<e;++o){(C=E[o]).axes=A,C.pixelRatio=N.pixelRatio,C.isOpaque&&C.isOpaque()&&C.draw(R),C.isTransparent&&C.isTransparent()&&(M=!0)}if(M){b.shape=F,b.bind(),r.clear(r.DEPTH_BUFFER_BIT),r.colorMask(!1,!1,!1,!1),r.depthMask(!0),r.depthFunc(r.LESS),A.enable&&A.isTransparent()&&A.drawTransparent(R);for(o=0;o<e;++o){(C=E[o]).isOpaque&&C.isOpaque()&&C.draw(R)}r.enable(r.BLEND),r.blendEquation(r.FUNC_ADD),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.colorMask(!0,!0,!0,!0),r.depthMask(!1),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),A.isTransparent()&&A.drawTransparent(R);for(o=0;o<e;++o){var C;(C=E[o]).isTransparent&&C.isTransparent()&&C.drawTransparent(R)}r.bindFramebuffer(r.FRAMEBUFFER,null),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.disable(r.DEPTH_TEST),_.bind(),b.color[0].bind(0),_.uniforms.accumBuffer=0,c(r),r.disable(r.BLEND)}I=!1;for(o=0;o<e;++o)E[o].dirty=!1}}}return N.enableMouseListeners(),function t(){if(N._stopped||N.contextLost)return;Y(),requestAnimationFrame(t)}(),N.redraw=function(){N._stopped||(I=!0,Y())},N},createCamera:n}},{"./camera.js":119,"./lib/shader":120,"a-big-triangle":8,"gl-axes3d":70,"gl-axes3d/properties":77,"gl-fbo":86,"gl-mat4/ortho":101,"gl-mat4/perspective":102,"gl-select-static":131,"gl-spikes3d":141,"is-mobile":238,"mouse-change":247}],122:[function(t,e,r){var n=t("glslify");r.pointVertex=n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\n\nuniform mat3 matrix;\nuniform float pointSize;\nuniform float pointCloud;\n\nhighp float rand(vec2 co) {\n  highp float a = 12.9898;\n  highp float b = 78.233;\n  highp float c = 43758.5453;\n  highp float d = dot(co.xy, vec2(a, b));\n  highp float e = mod(d, 3.14);\n  return fract(sin(e) * c);\n}\n\nvoid main() {\n  vec3 hgPosition = matrix * vec3(position, 1);\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\n    // if we don't jitter the point size a bit, overall point cloud\n    // saturation 'jumps' on zooming, which is disturbing and confusing\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\n  if(pointCloud != 0.0) { // pointCloud is truthy\n    // get the same square surface as circle would be\n    gl_PointSize *= 0.886;\n  }\n}"]),r.pointFragment=n(["precision mediump float;\n#define GLSLIFY 1\n\nuniform vec4 color, borderColor;\nuniform float centerFraction;\nuniform float pointCloud;\n\nvoid main() {\n  float radius;\n  vec4 baseColor;\n  if(pointCloud != 0.0) { // pointCloud is truthy\n    if(centerFraction == 1.0) {\n      gl_FragColor = color;\n    } else {\n      gl_FragColor = mix(borderColor, color, centerFraction);\n    }\n  } else {\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\n    if(radius > 1.0) {\n      discard;\n    }\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\n  }\n}\n"]),r.pickVertex=n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec4 pickId;\n\nuniform mat3 matrix;\nuniform float pointSize;\nuniform vec4 pickOffset;\n\nvarying vec4 fragId;\n\nvoid main() {\n  vec3 hgPosition = matrix * vec3(position, 1);\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\n  gl_PointSize = pointSize;\n\n  vec4 id = pickId + pickOffset;\n  id.y += floor(id.x / 256.0);\n  id.x -= floor(id.x / 256.0) * 256.0;\n\n  id.z += floor(id.y / 256.0);\n  id.y -= floor(id.y / 256.0) * 256.0;\n\n  id.w += floor(id.z / 256.0);\n  id.z -= floor(id.z / 256.0) * 256.0;\n\n  fragId = id;\n}\n"]),r.pickFragment=n(["precision mediump float;\n#define GLSLIFY 1\n\nvarying vec4 fragId;\n\nvoid main() {\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\n  if(radius > 1.0) {\n    discard;\n  }\n  gl_FragColor = fragId / 255.0;\n}\n"])},{glslify:231}],123:[function(t,e,r){"use strict";var n=t("gl-shader"),i=t("gl-buffer"),a=t("typedarray-pool"),o=t("./lib/shader");function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}e.exports=function(t,e){var r=t.gl,a=i(r),l=i(r),c=n(r,o.pointVertex,o.pointFragment),u=n(r,o.pickVertex,o.pickFragment),f=new s(t,a,l,c,u);return f.update(e),t.addObject(f),f};var l,c,u=s.prototype;u.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},u.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r("sizeMin",.5),this.sizeMax=r("sizeMax",20),this.color=r("color",[1,0,0,1]).slice(),this.areaRatio=r("areaRatio",1),this.borderColor=r("borderColor",[0,0,0,1]).slice(),this.blend=r("blend",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),c=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e<n;e++)c[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(c),i||a.free(l),o||a.free(c),this.pointCount=n,this.pickOffset=0},u.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],c=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,i=this.plot.dataBox;if(0===this.pointCount)return t;var a=i[2]-i[0],o=i[3]-i[1],s=function(t,e){var r,n=0,i=t.length>>>1;for(r=0;r<i;r++){var a=t[2*r],o=t[2*r+1];a>=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),u=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=u<5,r.uniforms.pointSize=u,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(c[0]=255&t,c[1]=t>>8&255,c[2]=t>>16&255,c[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=c,this.pickOffset=t);var f=n.getParameter(n.BLEND),h=n.getParameter(n.DITHER);return f&&!this.blend&&n.disable(n.BLEND),h&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),f&&!this.blend&&n.enable(n.BLEND),h&&n.enable(n.DITHER),t+this.pointCount}),u.draw=u.unifiedDraw,u.drawPick=u.unifiedDraw,u.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},{"./lib/shader":122,"gl-buffer":78,"gl-shader":132,"typedarray-pool":308}],124:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c=e[0],u=e[1],f=e[2],h=e[3],p=r[0],d=r[1],m=r[2],g=r[3];(a=c*p+u*d+f*m+h*g)<0&&(a=-a,p=-p,d=-d,m=-m,g=-g);1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n);return t[0]=s*c+l*p,t[1]=s*u+l*d,t[2]=s*f+l*m,t[3]=s*h+l*g,t}},{}],125:[function(t,e,r){"use strict";e.exports=function(t){return t||0===t?t.toString():""}},{}],126:[function(t,e,r){"use strict";var n=t("vectorize-text");e.exports=function(t,e,r){var a=i[e];a||(a=i[e]={});if(t in a)return a[t];var o={textAlign:"center",textBaseline:"middle",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,c,u=n(t,o);if(r&&1!==r){for(l=0;l<s.positions.length;++l)for(c=0;c<s.positions[l].length;++c)s.positions[l][c]/=r;for(l=0;l<u.positions.length;++l)for(c=0;c<u.positions[l].length;++c)u.positions[l][c]/=r}var f=[[1/0,1/0],[-1/0,-1/0]],h=u.positions.length;for(l=0;l<h;++l){var p=u.positions[l];for(c=0;c<2;++c)f[0][c]=Math.min(f[0][c],p[c]),f[1][c]=Math.max(f[1][c],p[c])}return a[t]=[s,u,f]};var i={}},{"vectorize-text":311}],127:[function(t,e,r){var n=t("gl-shader"),i=t("glslify"),a=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform vec4 highlightId;\nuniform float highlightScale;\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0,0,0,0);\n  } else {\n    float scale = 1.0;\n    if(distance(highlightId, id) < 0.0001) {\n      scale = highlightScale;\n    }\n\n    vec4 worldPosition = model * vec4(position, 1);\n    vec4 viewPosition = view * worldPosition;\n    viewPosition = viewPosition / viewPosition.w;\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\n\n    gl_Position = clipPosition;\n    interpColor = color;\n    pickId = id;\n    dataCoordinate = position;\n  }\n}"]),o=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform vec2 screenSize;\nuniform vec3 clipBounds[2];\nuniform float highlightScale, pixelRatio;\nuniform vec4 highlightId;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0,0,0,0);\n  } else {\n    float scale = pixelRatio;\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\n      scale *= highlightScale;\n    }\n\n    vec4 worldPosition = model * vec4(position, 1.0);\n    vec4 viewPosition = view * worldPosition;\n    vec4 clipPosition = projection * viewPosition;\n    clipPosition /= clipPosition.w;\n\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\n    interpColor = color;\n    pickId = id;\n    dataCoordinate = position;\n  }\n}"]),s=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform float highlightScale;\nuniform vec4 highlightId;\nuniform vec3 axes[2];\nuniform mat4 model, view, projection;\nuniform vec2 screenSize;\nuniform vec3 clipBounds[2];\nuniform float scale, pixelRatio;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0,0,0,0);\n  } else {\n    float lscale = pixelRatio * scale;\n    if(distance(highlightId, id) < 0.0001) {\n      lscale *= highlightScale;\n    }\n\n    vec4 clipCenter   = projection * view * model * vec4(position, 1);\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\n    vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\n\n    gl_Position = clipPosition;\n    interpColor = color;\n    pickId = id;\n    dataCoordinate = dataPosition;\n  }\n}\n"]),l=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 fragClipBounds[2];\nuniform float opacity;\n\nvarying vec4 interpColor;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\n    interpColor.a * opacity == 0.\n  ) discard;\n  gl_FragColor = interpColor * opacity;\n}\n"]),c=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 fragClipBounds[2];\nuniform float pickGroup;\n\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\n\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\n}"]),u=[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"glyph",type:"vec2"},{name:"id",type:"vec4"}],f={vertex:a,fragment:l,attributes:u},h={vertex:o,fragment:l,attributes:u},p={vertex:s,fragment:l,attributes:u},d={vertex:a,fragment:c,attributes:u},m={vertex:o,fragment:c,attributes:u},g={vertex:s,fragment:c,attributes:u};function v(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}r.createPerspective=function(t){return v(t,f)},r.createOrtho=function(t){return v(t,h)},r.createProject=function(t){return v(t,p)},r.createPickPerspective=function(t){return v(t,d)},r.createPickOrtho=function(t){return v(t,m)},r.createPickProject=function(t){return v(t,g)}},{"gl-shader":132,glslify:231}],128:[function(t,e,r){"use strict";var n=t("is-string-blank"),i=t("gl-buffer"),a=t("gl-vao"),o=t("typedarray-pool"),s=t("gl-mat4/multiply"),l=t("./lib/shaders"),c=t("./lib/glyphs"),u=t("./lib/get-simple-string"),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function p(t,e,r,n){return h(n,n),h(n,n),h(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function m(t){return!0===t||t>1?1:t}function g(t,e,r,n,i,a,o,s,l,c,u,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=c,this.pickOrthoShader=u,this.pickProjectShader=f,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}e.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),c=l.createPickOrtho(e),u=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),m=a(e,[{buffer:f,size:3,type:e.FLOAT},{buffer:h,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),v=new g(e,r,n,o,f,h,p,d,m,s,c,u);return v.update(t),v};var v=g.prototype;v.pickSlots=1,v.setPickBase=function(t){this.pickId=t},v.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},v.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var y=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=f.slice(),k=[0,0,0],A=[[0,0,0],[0,0,0]];function M(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}function L(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,c=r.model||f,u=r.view||f,h=r.projection||f,d=e.axesBounds,m=function(t){for(var e=A,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],y[0]=2/o.drawingBufferWidth,y[1]=2/o.drawingBufferHeight,t.bind(),l.view=u,l.projection=h,l.screenSize=y,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=m,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var g=0;g<3;++g)if(a[g]){l.scale=e.projectScale[g],l.opacity=e.projectOpacity[g];for(var v=T,L=0;L<16;++L)v[L]=0;for(L=0;L<4;++L)v[5*L]=1;v[5*g]=0,i[g]<0?v[12+g]=d[0][g]:v[12+g]=d[1][g],s(v,c,v),l.model=v;var C=(g+1)%3,P=(g+2)%3,I=M(x),O=M(b);I[C]=1,O[P]=1;var z=p(0,0,0,S(_,I)),D=p(0,0,0,S(w,O));if(Math.abs(z[1])>Math.abs(D[1])){var R=z;z=D,D=R,R=I,I=O,O=R;var F=C;C=P,P=F}z[0]<0&&(I[C]=-1),D[1]>0&&(O[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(c[4*C+L],2),N+=Math.pow(c[4*P+L],2);I[C]/=Math.sqrt(B),O[P]/=Math.sqrt(N),l.axes[0]=I,l.axes[1]=O,l.fragClipBounds[0]=E(k,m[0],g,-1e8),l.fragClipBounds[1]=E(k,m[1],g,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}var C=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function P(t,e,r,n,i,a,o){var s=r.gl;if((a===r.projectHasAlpha||o)&&L(e,r,n,i),a===r.hasAlpha||o){t.bind();var l=t.uniforms;l.model=n.model||f,l.view=n.view||f,l.projection=n.projection||f,y[0]=2/s.drawingBufferWidth,y[1]=2/s.drawingBufferHeight,l.screenSize=y,l.highlightId=r.highlightId,l.highlightScale=r.highlightScale,l.fragClipBounds=C,l.clipBounds=r.axes.bounds,l.opacity=r.opacity,l.pickGroup=r.pickId/255,l.pixelRatio=i,r.vao.bind(),r.vao.draw(s.TRIANGLES,r.vertexCount),r.lineWidth>0&&(s.lineWidth(r.lineWidth*i),r.vao.draw(s.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function I(t,e,r,i){var a;a=Array.isArray(t)?e<t.length?t[e]:void 0:t,a=u(a);var o=!0;n(a)&&(a="\u25bc",o=!1);var s=c(a,r,i);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}v.draw=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},v.drawTransparent=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},v.drawPick=function(t){P(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},v.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},v.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},v.update=function(t){if("perspective"in(t=t||{})&&(this.useOrtho=!t.perspective),"orthographic"in t&&(this.useOrtho=!!t.orthographic),"lineWidth"in t&&(this.lineWidth=t.lineWidth),"project"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if("projectScale"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,"projectOpacity"in t){if(Array.isArray(t.projectOpacity))this.projectOpacity=t.projectOpacity.slice();else{r=+t.projectOpacity;this.projectOpacity=[r,r,r]}for(var n=0;n<3;++n)this.projectOpacity[n]=m(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,"opacity"in t&&(this.opacity=m(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l=t.font||"normal",c=t.alignment||[0,0];if(2===c.length)i=c[0],a=c[1];else{i=[],a=[];for(n=0;n<c.length;++n)i[n]=c[n][0],a[n]=c[n][1]}var u=[1/0,1/0,1/0],f=[-1/0,-1/0,-1/0],h=t.glyph,p=t.color,d=t.size,g=t.angle,v=t.lineColor,y=-1,x=0,b=0,_=0;if(s.length){_=s.length;t:for(n=0;n<_;++n){for(var w=s[n],T=0;T<3;++T)if(isNaN(w[T])||!isFinite(w[T]))continue t;var k=(N=I(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;x+=3*k.cells.length,b+=2*A.edges.length}}var S=x+b,E=o.mallocFloat(3*S),L=o.mallocFloat(4*S),C=o.mallocFloat(2*S),P=o.mallocUint32(S);if(S>0){var O=0,z=x,D=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(v)&&Array.isArray(v[0]);t:for(n=0;n<_;++n){y+=1;for(w=s[n],T=0;T<3;++T){if(isNaN(w[T])||!isFinite(w[T]))continue t;f[T]=Math.max(f[T],w[T]),u[T]=Math.min(u[T],w[T])}k=(N=I(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(U=F?n<p.length?p[n]:[0,0,0,0]:p).length){for(T=0;T<3;++T)D[T]=U[T];D[3]=1}else if(4===U.length){for(T=0;T<4;++T)D[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else D[0]=D[1]=D[2]=0,D[3]=1;else D=[1,1,1,0];if(j)if(Array.isArray(v)){var U;if(3===(U=B?n<v.length?v[n]:[0,0,0,0]:v).length){for(T=0;T<3;++T)R[T]=U[T];R[T]=1}else if(4===U.length){for(T=0;T<4;++T)R[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else R[0]=R[1]=R[2]=0,R[3]=1;else R=[1,1,1,0];var V=.5;j?Array.isArray(d)?V=n<d.length?+d[n]:12:d?V=+d:this.useOrtho&&(V=12):V=0;var H=0;Array.isArray(g)?H=n<g.length?+g[n]:0:g&&(H=+g);var q=Math.cos(H),G=Math.sin(H);for(w=s[n],T=0;T<3;++T)f[T]=Math.max(f[T],w[T]),u[T]=Math.min(u[T],w[T]);var Y=i,W=a;Y=0;Array.isArray(i)?Y=n<i.length?i[n]:0:i&&(Y=i);W=0;Array.isArray(a)?W=n<a.length?a[n]:0:a&&(W=a);var X=[Y*=Y>0?1-M[0][0]:Y<0?1+M[1][0]:1,W*=W>0?1-M[0][1]:W<0?1+M[1][1]:1],Z=k.cells||[],J=k.positions||[];for(T=0;T<Z.length;++T)for(var K=Z[T],Q=0;Q<3;++Q){for(var $=0;$<3;++$)E[3*O+$]=w[$];for($=0;$<4;++$)L[4*O+$]=D[$];P[O]=y;var tt=J[K[Q]];C[2*O]=V*(q*tt[0]-G*tt[1]+X[0]),C[2*O+1]=V*(G*tt[0]+q*tt[1]+X[1]),O+=1}for(Z=A.edges,J=A.positions,T=0;T<Z.length;++T)for(K=Z[T],Q=0;Q<2;++Q){for($=0;$<3;++$)E[3*z+$]=w[$];for($=0;$<4;++$)L[4*z+$]=R[$];P[z]=y;tt=J[K[Q]];C[2*z]=V*(q*tt[0]-G*tt[1]+X[0]),C[2*z+1]=V*(G*tt[0]+q*tt[1]+X[1]),z+=1}}}this.bounds=[u,f],this.points=s,this.pointCount=s.length,this.vertexCount=x,this.lineVertexCount=b,this.pointBuffer.update(E),this.colorBuffer.update(L),this.glyphBuffer.update(C),this.idBuffer.update(P),o.free(E),o.free(L),o.free(C),o.free(P)},v.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()}},{"./lib/get-simple-string":125,"./lib/glyphs":126,"./lib/shaders":127,"gl-buffer":78,"gl-mat4/multiply":100,"gl-vao":150,"is-string-blank":239,"typedarray-pool":308}],129:[function(t,e,r){"use strict";var n=t("glslify");r.boxVertex=n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 vertex;\n\nuniform vec2 cornerA, cornerB;\n\nvoid main() {\n  gl_Position = vec4(mix(cornerA, cornerB, vertex), 0, 1);\n}\n"]),r.boxFragment=n(["precision mediump float;\n#define GLSLIFY 1\n\nuniform vec4 color;\n\nvoid main() {\n  gl_FragColor = color;\n}\n"])},{glslify:231}],130:[function(t,e,r){"use strict";var n=t("gl-shader"),i=t("gl-buffer"),a=t("./lib/shaders");function o(t,e,r){this.plot=t,this.boxBuffer=e,this.boxShader=r,this.enabled=!0,this.selectBox=[1/0,1/0,-1/0,-1/0],this.borderColor=[0,0,0,1],this.innerFill=!1,this.innerColor=[0,0,0,.25],this.outerFill=!0,this.outerColor=[0,0,0,.5],this.borderWidth=10}e.exports=function(t,e){var r=t.gl,s=i(r,[0,0,0,1,1,0,1,1]),l=n(r,a.boxVertex,a.boxFragment),c=new o(t,s,l);return c.update(e),t.addOverlay(c),c};var s=o.prototype;s.draw=function(){if(this.enabled){var t=this.plot,e=this.selectBox,r=this.borderWidth,n=(this.innerFill,this.innerColor),i=(this.outerFill,this.outerColor),a=this.borderColor,o=t.box,s=t.screenBox,l=t.dataBox,c=t.viewBox,u=t.pixelRatio,f=(e[0]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],h=(e[1]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1],p=(e[2]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],d=(e[3]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1];if(f=Math.max(f,c[0]),h=Math.max(h,c[1]),p=Math.min(p,c[2]),d=Math.min(d,c[3]),!(p<f||d<h)){o.bind();var m=s[2]-s[0],g=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,m,h,i),o.drawBox(0,h,f,d,i),o.drawBox(0,d,m,g,i),o.drawBox(p,h,m,d,i)),this.innerFill&&o.drawBox(f,h,p,d,n),r>0){var v=r*u;o.drawBox(f-v,h-v,p+v,h+v,a),o.drawBox(f-v,d-v,p+v,d+v,a),o.drawBox(f-v,h-v,f+v,d+v,a),o.drawBox(p-v,h-v,p+v,d+v,a)}}}},s.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},{"./lib/shaders":129,"gl-buffer":78,"gl-shader":132}],131:[function(t,e,r){"use strict";e.exports=function(t,e){var r=e[0],a=e[1],o=n(t,r,a,{}),s=i.mallocUint8(r*a*4);return new l(t,o,s)};var n=t("gl-fbo"),i=t("typedarray-pool"),a=t("ndarray"),o=t("bit-twiddle").nextPow2;function s(t,e,r,n,i){this.coord=[t,e],this.id=r,this.value=n,this.distance=i}function l(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var n=this;this._readCallback=function(){n.gl&&(e.bind(),t.readPixels(0,0,e.shape[0],e.shape[1],t.RGBA,t.UNSIGNED_BYTE,n.buffer),n._readTimeout=null)}}var c=l.prototype;Object.defineProperty(c,"shape",{get:function(){return this.gl?this.fbo.shape.slice():[0,0]},set:function(t){if(this.gl){this.fbo.shape=t;var e=this.fbo.shape[0],r=this.fbo.shape[1];if(r*e*4>this.buffer.length){i.free(this.buffer);for(var n=this.buffer=i.mallocUint8(o(r*e*4)),a=0;a<r*e*4;++a)n[a]=255}return t}}}),c.begin=function(){var t=this.gl;this.shape;t&&(this.fbo.bind(),t.clearColor(1,1,1,1),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT))},c.end=function(){var t=this.gl;t&&(t.bindFramebuffer(t.FRAMEBUFFER,null),this._readTimeout||clearTimeout(this._readTimeout),this._readTimeout=setTimeout(this._readCallback,1))},c.query=function(t,e,r){if(!this.gl)return null;var n=this.fbo.shape.slice();t|=0,e|=0,"number"!=typeof r&&(r=1);var 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t=this.enable,e=this.width,r=this.color,n=this.center,i=this.plot,a=i.line,o=i.dataBox,s=i.viewBox;if(a.bind(),o[0]<=n[0]&&n[0]<=o[2]&&o[1]<=n[1]&&n[1]<=o[3]){var l=s[0]+(n[0]-o[0])/(o[2]-o[0])*(s[2]-s[0]),c=s[1]+(n[1]-o[1])/(o[3]-o[1])*(s[3]-s[1]);t[0]&&a.drawLine(l,c,s[0],c,e[0],r[0]),t[1]&&a.drawLine(l,c,l,s[1],e[1],r[1]),t[2]&&a.drawLine(l,c,s[2],c,e[2],r[2]),t[3]&&a.drawLine(l,c,l,s[3],e[3],r[3])}},i.dispose=function(){this.plot.removeOverlay(this)}},{}],140:[function(t,e,r){"use strict";var n=t("glslify"),i=t("gl-shader"),a=n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 position, color;\nattribute float weight;\n\nuniform mat4 model, view, projection;\nuniform vec3 coordinates[3];\nuniform vec4 colors[3];\nuniform vec2 screenShape;\nuniform float lineWidth;\n\nvarying vec4 fragColor;\n\nvoid main() {\n  vec3 vertexPosition = mix(coordinates[0],\n    mix(coordinates[2], coordinates[1], 0.5 * (position + 1.0)), abs(position));\n\n  vec4 clipPos = projection * view * model * vec4(vertexPosition, 1.0);\n  vec2 clipOffset = (projection * view * model * vec4(color, 0.0)).xy;\n  vec2 delta = weight * clipOffset * screenShape;\n  vec2 lineOffset = normalize(vec2(delta.y, -delta.x)) / screenShape;\n\n  gl_Position   = vec4(clipPos.xy + clipPos.w * 0.5 * lineWidth * lineOffset, clipPos.z, clipPos.w);\n  fragColor     = color.x * colors[0] + color.y * colors[1] + color.z * colors[2];\n}\n"]),o=n(["precision mediump float;\n#define GLSLIFY 1\n\nvarying vec4 fragColor;\n\nvoid main() {\n  gl_FragColor = fragColor;\n}"]);e.exports=function(t){return i(t,a,o,null,[{name:"position",type:"vec3"},{name:"color",type:"vec3"},{name:"weight",type:"float"}])}},{"gl-shader":132,glslify:231}],141:[function(t,e,r){"use strict";var n=t("gl-buffer"),i=t("gl-vao"),a=t("./shaders/index");e.exports=function(t,e){var r=[];function o(t,e,n,i,a,o){var s=[t,e,n,0,0,0,1];s[i+3]=1,s[i]=a,r.push.apply(r,s),s[6]=-1,r.push.apply(r,s),s[i]=o,r.push.apply(r,s),r.push.apply(r,s),s[6]=1,r.push.apply(r,s),s[i]=a,r.push.apply(r,s)}o(0,0,0,0,0,1),o(0,0,0,1,0,1),o(0,0,0,2,0,1),o(1,0,0,1,-1,1),o(1,0,0,2,-1,1),o(0,1,0,0,-1,1),o(0,1,0,2,-1,1),o(0,0,1,0,-1,1),o(0,0,1,1,-1,1);var l=n(t,r),c=i(t,[{type:t.FLOAT,buffer:l,size:3,offset:0,stride:28},{type:t.FLOAT,buffer:l,size:3,offset:12,stride:28},{type:t.FLOAT,buffer:l,size:1,offset:24,stride:28}]),u=a(t);u.attributes.position.location=0,u.attributes.color.location=1,u.attributes.weight.location=2;var f=new s(t,l,c,u);return f.update(e),f};var o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n,this.pixelRatio=1,this.bounds=[[-1e3,-1e3,-1e3],[1e3,1e3,1e3]],this.position=[0,0,0],this.lineWidth=[2,2,2],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.enabled=[!0,!0,!0],this.drawSides=[!0,!0,!0],this.axes=null}var l=s.prototype,c=[0,0,0],u=[0,0,0],f=[0,0];l.isTransparent=function(){return!1},l.drawTransparent=function(t){},l.draw=function(t){var e=this.gl,r=this.vao,n=this.shader;r.bind(),n.bind();var i,a=t.model||o,s=t.view||o,l=t.projection||o;this.axes&&(i=this.axes.lastCubeProps.axis);for(var h=c,p=u,d=0;d<3;++d)i&&i[d]<0?(h[d]=this.bounds[0][d],p[d]=this.bounds[1][d]):(h[d]=this.bounds[1][d],p[d]=this.bounds[0][d]);f[0]=e.drawingBufferWidth,f[1]=e.drawingBufferHeight,n.uniforms.model=a,n.uniforms.view=s,n.uniforms.projection=l,n.uniforms.coordinates=[this.position,h,p],n.uniforms.colors=this.colors,n.uniforms.screenShape=f;for(d=0;d<3;++d)n.uniforms.lineWidth=this.lineWidth[d]*this.pixelRatio,this.enabled[d]&&(r.draw(e.TRIANGLES,6,6*d),this.drawSides[d]&&r.draw(e.TRIANGLES,12,18+12*d));r.unbind()},l.update=function(t){t&&("bounds"in t&&(this.bounds=t.bounds),"position"in t&&(this.position=t.position),"lineWidth"in t&&(this.lineWidth=t.lineWidth),"colors"in t&&(this.colors=t.colors),"enabled"in t&&(this.enabled=t.enabled),"drawSides"in t&&(this.drawSides=t.drawSides))},l.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{"./shaders/index":140,"gl-buffer":78,"gl-vao":150}],142:[function(t,e,r){var n=t("glslify"),i=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n  // Return up-vector for only-z vector.\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n  // Assign z = 0, x = -b, y = a:\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n    return normalize(vec3(-v.y, v.x, 0.0));\n  } else {\n    return normalize(vec3(0.0, v.z, -v.y));\n  }\n}\n\n// Calculate the tube vertex and normal at the given index.\n//\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\n//\n// Each tube segment is made up of a ring of vertices.\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\n// The indexes of tube segments run from 0 to 8.\n//\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\n  float segmentCount = 8.0;\n\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\n\n  vec3 u = getOrthogonalVector(d);\n  vec3 v = normalize(cross(u, d));\n\n  vec3 x = u * cos(angle) * length(d);\n  vec3 y = v * sin(angle) * length(d);\n  vec3 v3 = x + y;\n\n  normal = normalize(v3);\n\n  return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 color, position;\nattribute vec2 uv;\n\nuniform float vectorScale, tubeScale;\nuniform mat4 model, view, projection, inverseModel;\nuniform vec3 eyePosition, lightPosition;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  // Scale the vector magnitude to stay constant with\n  // model & view changes.\n  vec3 normal;\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n  //Lighting geometry parameters\n  vec4 cameraCoordinate = view * tubePosition;\n  cameraCoordinate.xyz /= cameraCoordinate.w;\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n  // vec4 m_position  = model * vec4(tubePosition, 1.0);\n  vec4 t_position  = view * tubePosition;\n  gl_Position      = projection * t_position;\n\n  f_color          = color;\n  f_data           = tubePosition.xyz;\n  f_position       = position.xyz;\n  f_uv             = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n  float NdotH = max(x, 0.0001);\n  float cos2Alpha = NdotH * NdotH;\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n  float roughness2 = roughness * roughness;\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n  return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n  vec3 lightDirection,\n  vec3 viewDirection,\n  vec3 surfaceNormal,\n  float roughness,\n  float fresnel) {\n\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n  //Half angle vector\n  vec3 H = normalize(lightDirection + viewDirection);\n\n  //Geometric term\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\n  float VdotH = max(dot(viewDirection, H), 0.000001);\n  float LdotH = max(dot(lightDirection, H), 0.000001);\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\n  float G = min(1.0, min(G1, G2));\n  \n  //Distribution term\n  float D = beckmannDistribution(NdotH, roughness);\n\n  //Fresnel term\n  float F = pow(1.0 - VdotN, fresnel);\n\n  //Multiply terms and done\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform sampler2D texture;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n  vec3 N = normalize(f_normal);\n  vec3 L = normalize(f_lightDirection);\n  vec3 V = normalize(f_eyeDirection);\n\n  if(gl_FrontFacing) {\n    N = -N;\n  }\n\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n\n  gl_FragColor = litColor * opacity;\n}\n"]),o=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n  // Return up-vector for only-z vector.\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n  // Assign z = 0, x = -b, y = a:\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n    return normalize(vec3(-v.y, v.x, 0.0));\n  } else {\n    return normalize(vec3(0.0, v.z, -v.y));\n  }\n}\n\n// Calculate the tube vertex and normal at the given index.\n//\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\n//\n// Each tube segment is made up of a ring of vertices.\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\n// The indexes of tube segments run from 0 to 8.\n//\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\n  float segmentCount = 8.0;\n\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\n\n  vec3 u = getOrthogonalVector(d);\n  vec3 v = normalize(cross(u, d));\n\n  vec3 x = u * cos(angle) * length(d);\n  vec3 y = v * sin(angle) * length(d);\n  vec3 v3 = x + y;\n\n  normal = normalize(v3);\n\n  return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform float tubeScale;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  vec3 normal;\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n  gl_Position = projection * view * tubePosition;\n  f_id        = id;\n  f_position  = position.xyz;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3  clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n  gl_FragColor = vec4(pickId, f_id.xyz);\n}"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec4"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"vector",type:"vec4"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec4"},{name:"id",type:"vec4"},{name:"vector",type:"vec4"}]}},{glslify:231}],143:[function(t,e,r){"use strict";var n=t("gl-vec3"),i=t("gl-vec4"),a=["xyz","xzy","yxz","yzx","zxy","zyx"],o=function(t,e,r,a){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,c=0;c<l.length;c++)o=Math.max(o,n.length(l[c]));var u=t.map((function(t){return function(t,e,r,a){for(var o=t.points,s=t.velocities,l=t.divergences,c=[],u=[],f=[],h=[],p=[],d=[],m=0,g=0,v=i.create(),y=i.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),g=n.length(_)/a,v=i.create(),n.copy(v,_),v[3]=w;for(var T=0;T<8;T++)p[T]=[b[0],b[1],b[2],T];if(h.length>0)for(T=0;T<8;T++){var k=(T+1)%8;c.push(h[T],p[T],p[k],p[k],h[k],h[T]),f.push(y,v,v,v,y,y),d.push(m,g,g,g,m,m);var A=c.length;u.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=h;h=p,p=M;var S=y;y=v,v=S;var E=m;m=g,g=E}return{positions:c,cells:u,vectors:f,vertexIntensity:d}}(t,r,a,o)})),f=[],h=[],p=[],d=[];for(s=0;s<u.length;s++){var m=u[s],g=f.length;f=f.concat(m.positions),p=p.concat(m.vectors),d=d.concat(m.vertexIntensity);for(c=0;c<m.cells.length;c++){var v=m.cells[c],y=[];h.push(y);for(var x=0;x<v.length;x++)y.push(v[x]+g)}}return{positions:f,cells:h,vectors:p,vertexIntensity:d,colormap:e}},s=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var i=t[r];if(i===e)return r;if(i>e)return r-1}return r},l=function(t,e,r){return t<e?e:t>r?r:t},c=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;n<r;n++){var i=Math.abs(t[n]-t[n-1]);i<e&&(e=i)}return e};e.exports=function(t,e){var r=t.startingPositions,i=t.maxLength||1e3,u=t.tubeSize||1,f=t.absoluteTubeSize,h=t.gridFill||"+x+y+z",p={};-1!==h.indexOf("-x")&&(p.reversedX=!0),-1!==h.indexOf("-y")&&(p.reversedY=!0),-1!==h.indexOf("-z")&&(p.reversedZ=!0),p.filled=a.indexOf(h.replace(/-/g,"").replace(/\+/g,""));var d=t.getVelocity||function(e){return function(t,e,r){var i=e.vectors,a=e.meshgrid,o=t[0],c=t[1],u=t[2],f=a[0].length,h=a[1].length,p=a[2].length,d=s(a[0],o),m=s(a[1],c),g=s(a[2],u),v=d+1,y=m+1,x=g+1;if(d=l(d,0,f-1),v=l(v,0,f-1),m=l(m,0,h-1),y=l(y,0,h-1),g=l(g,0,p-1),x=l(x,0,p-1),d<0||m<0||g<0||v>f-1||y>h-1||x>p-1)return n.create();var b,_,w,T,k,A,M=a[0][d],S=a[0][v],E=a[1][m],L=a[1][y],C=a[2][g],P=(o-M)/(S-M),I=(c-E)/(L-E),O=(u-C)/(a[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(I)||(I=.5),isFinite(O)||(O=.5),r.reversedX&&(d=f-1-d,v=f-1-v),r.reversedY&&(m=h-1-m,y=h-1-y),r.reversedZ&&(g=p-1-g,x=p-1-x),r.filled){case 5:k=g,A=x,w=m*p,T=y*p,b=d*p*h,_=v*p*h;break;case 4:k=g,A=x,b=d*p,_=v*p,w=m*p*f,T=y*p*f;break;case 3:w=m,T=y,k=g*h,A=x*h,b=d*h*p,_=v*h*p;break;case 2:w=m,T=y,b=d*h,_=v*h,k=g*h*f,A=x*h*f;break;case 1:b=d,_=v,k=g*f,A=x*f,w=m*f*p,T=y*f*p;break;default:b=d,_=v,w=m*f,T=y*f,k=g*f*h,A=x*f*h}var z=i[b+w+k],D=i[b+w+A],R=i[b+T+k],F=i[b+T+A],B=i[_+w+k],N=i[_+w+A],j=i[_+T+k],U=i[_+T+A],V=n.create(),H=n.create(),q=n.create(),G=n.create();n.lerp(V,z,B,P),n.lerp(H,D,N,P),n.lerp(q,R,j,P),n.lerp(G,F,U,P);var Y=n.create(),W=n.create();n.lerp(Y,V,q,I),n.lerp(W,H,G,I);var X=n.create();return n.lerp(X,Y,W,O),X}(e,t,p)},m=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},g=[],v=e[0][0],y=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(e<v||e>b||r<y||r>_||n<x||n>w)},k=10*n.distance(e[0],e[1])/i,A=k*k,M=1,S=0,E=r.length;E>1&&(M=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,l=0;l<s;l++){var u=t[l],f=u[0],h=u[1],p=u[2];i[f]||(e.push(f),i[f]=!0),a[h]||(r.push(h),a[h]=!0),o[p]||(n.push(p),o[p]=!0)}var d=c(e),m=c(r),g=c(n),v=Math.min(d,m,g);return isFinite(v)?v:1}(r));for(var L=0;L<E;L++){var C=n.create();n.copy(C,r[L]);var P=[C],I=[],O=d(C),z=C;I.push(O);var D=[],R=m(C,O),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F),g.push({points:P,velocities:I,divergences:D});for(var B=0;B<100*i&&P.length<i&&T(C);){B++;var N=n.clone(O),j=n.squaredLength(N);if(0===j)break;if(j>A&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,C),O=d(N),n.squaredDistance(z,N)-A>-1e-4*A){P.push(N),z=N,I.push(O);R=m(N,O),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F)}C=N}}var U=o(g,t.colormap,S,M);return f?U.tubeScale=f:(0===S&&(S=1),U.tubeScale=.5*u*M/S),U};var u=t("./lib/shaders"),f=t("gl-cone3d").createMesh;e.exports.createTubeMesh=function(t,e){return f(t,e,{shaders:u,traceType:"streamtube"})}},{"./lib/shaders":142,"gl-cone3d":79,"gl-vec3":169,"gl-vec4":205}],144:[function(t,e,r){var n=t("gl-shader"),i=t("glslify"),a=i(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec4 uv;\nattribute vec3 f;\nattribute vec3 normal;\n\nuniform vec3 objectOffset;\nuniform mat4 model, view, projection, inverseModel;\nuniform vec3 lightPosition, eyePosition;\nuniform sampler2D colormap;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n  vec3 localCoordinate = vec3(uv.zw, f.x);\n  worldCoordinate = objectOffset + localCoordinate;\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\n  vec4 clipPosition = projection * view * worldPosition;\n  gl_Position = clipPosition;\n  kill = f.y;\n  value = f.z;\n  planeCoordinate = uv.xy;\n\n  vColor = texture2D(colormap, vec2(value, value));\n\n  //Lighting geometry parameters\n  vec4 cameraCoordinate = view * worldPosition;\n  cameraCoordinate.xyz /= cameraCoordinate.w;\n  lightDirection = lightPosition - cameraCoordinate.xyz;\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\n}\n"]),o=i(["precision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n  float NdotH = max(x, 0.0001);\n  float cos2Alpha = NdotH * NdotH;\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n  float roughness2 = roughness * roughness;\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n  return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat beckmannSpecular(\n  vec3 lightDirection,\n  vec3 viewDirection,\n  vec3 surfaceNormal,\n  float roughness) {\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\n}\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 lowerBound, upperBound;\nuniform float contourTint;\nuniform vec4 contourColor;\nuniform sampler2D colormap;\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform float vertexColor;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n  if (\n    kill > 0.0 ||\n    vColor.a == 0.0 ||\n    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\n  ) discard;\n\n  vec3 N = normalize(surfaceNormal);\n  vec3 V = normalize(eyeDirection);\n  vec3 L = normalize(lightDirection);\n\n  if(gl_FrontFacing) {\n    N = -N;\n  }\n\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n  //decide how to interpolate color \u2014 in vertex or in fragment\n  vec4 surfaceColor =\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\n    step(.5, vertexColor) * vColor;\n\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\n}\n"]),s=i(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec4 uv;\nattribute float f;\n\nuniform vec3 objectOffset;\nuniform mat3 permutation;\nuniform mat4 model, view, projection;\nuniform float height, zOffset;\nuniform sampler2D colormap;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\n  worldCoordinate = objectOffset + dataCoordinate;\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\n\n  vec4 clipPosition = projection * view * worldPosition;\n  clipPosition.z += zOffset;\n\n  gl_Position = clipPosition;\n  value = f + objectOffset.z;\n  kill = -1.0;\n  planeCoordinate = uv.zw;\n\n  vColor = texture2D(colormap, vec2(value, value));\n\n  //Don't do lighting for contours\n  surfaceNormal   = vec3(1,0,0);\n  eyeDirection    = vec3(0,1,0);\n  lightDirection  = vec3(0,0,1);\n}\n"]),l=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec2 shape;\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 surfaceNormal;\n\nvec2 splitFloat(float v) {\n  float vh = 255.0 * v;\n  float upper = floor(vh);\n  float lower = fract(vh);\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\n}\n\nvoid main() {\n  if ((kill > 0.0) ||\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\n\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\n}\n"]);r.createShader=function(t){var e=n(t,a,o,null,[{name:"uv",type:"vec4"},{name:"f",type:"vec3"},{name:"normal",type:"vec3"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createPickShader=function(t){var e=n(t,a,l,null,[{name:"uv",type:"vec4"},{name:"f",type:"vec3"},{name:"normal",type:"vec3"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createContourShader=function(t){var e=n(t,s,o,null,[{name:"uv",type:"vec4"},{name:"f",type:"float"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},r.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:"uv",type:"vec4"},{name:"f",type:"float"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},{"gl-shader":132,glslify:231}],145:[function(t,e,r){"use strict";e.exports=function(t){var e=t.gl,r=y(e),n=b(e),s=x(e),l=_(e),c=i(e),u=a(e,[{buffer:c,size:4,stride:40,offset:0},{buffer:c,size:3,stride:40,offset:16},{buffer:c,size:3,stride:40,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),m=o(e,1,256,e.RGBA,e.UNSIGNED_BYTE);m.minFilter=e.LINEAR,m.magFilter=e.LINEAR;var g=new M(e,[0,0],[[0,0,0],[0,0,0]],r,n,c,u,m,s,l,f,h,p,d,[0,0,0]),v={levels:[[],[],[]]};for(var w in t)v[w]=t[w];return v.colormap=v.colormap||"jet",g.update(v),g};var n=t("bit-twiddle"),i=t("gl-buffer"),a=t("gl-vao"),o=t("gl-texture2d"),s=t("typedarray-pool"),l=t("colormap"),c=t("ndarray-ops"),u=t("ndarray-pack"),f=t("ndarray"),h=t("surface-nets"),p=t("gl-mat4/multiply"),d=t("gl-mat4/invert"),m=t("binary-search-bounds"),g=t("ndarray-gradient"),v=t("./lib/shaders"),y=v.createShader,x=v.createContourShader,b=v.createPickShader,_=v.createPickContourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],T=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],k=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function A(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t<3;++t){var e=k[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();function M(t,e,r,n,i,a,o,l,c,u,h,p,d,m,g){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=g,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=c,this._contourPickShader=u,this._contourBuffer=h,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new A([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=m,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var S=M.prototype;S.genColormap=function(t,e){var r=!1,n=u([l({colormap:t,nshades:256,format:"rgba"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return c.divseq(n,255),this.hasAlphaScale=r,n},S.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},S.isOpaque=function(){return!this.isTransparent()},S.pickSlots=1,S.setPickBase=function(t){this.pickId=t};var E=[0,0,0],L={showSurface:!1,showContour:!1,projections:[w.slice(),w.slice(),w.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function C(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||E,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=L.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var c=L.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)c[i][n]=t.clipBounds[i][n];c[0][r]=-1e8,c[1][r]=1e8}return L.showSurface=o,L.showContour=s,L}var P={model:w,view:w,projection:w,inverseModel:w.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},I=w.slice(),O=[1,0,0,0,1,0,0,0,1];function z(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=P;n.model=t.model||w,n.view=t.view||w,n.projection=t.projection||w,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=O,n.vertexColor=this.vertexColor;var s=I;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var c=s[12+i];for(o=0;o<3;++o)c+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=c/l}var u=C(n,this);if(u.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=u.projections[i],this._shader.uniforms.clipBounds=u.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(u.showContour){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var h=this._contourVAO;for(h.bind(),i=0;i<3;++i)for(f.uniforms.permutation=k[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o<this.contourLevels[i].length;++o)o===this.highlightLevel[i]?(f.uniforms.contourColor=this.highlightColor[i],f.uniforms.contourTint=this.highlightTint[i]):0!==o&&o-1!==this.highlightLevel[i]||(f.uniforms.contourColor=this.contourColor[i],f.uniforms.contourTint=this.contourTint[i]),this._contourCounts[i][o]&&(f.uniforms.height=this.contourLevels[i][o],h.draw(r.LINES,this._contourCounts[i][o],this._contourOffsets[i][o]));for(i=0;i<3;++i)for(f.uniforms.model=u.projections[i],f.uniforms.clipBounds=u.clipBounds[i],o=0;o<3;++o)if(this.contourProject[i][o]){f.uniforms.permutation=k[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var m=0;m<this.contourLevels[o].length;++m)m===this.highlightLevel[o]?(f.uniforms.contourColor=this.highlightColor[o],f.uniforms.contourTint=this.highlightTint[o]):0!==m&&m-1!==this.highlightLevel[o]||(f.uniforms.contourColor=this.contourColor[o],f.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][m]&&(f.uniforms.height=this.contourLevels[o][m],h.draw(r.LINES,this._contourCounts[o][m],this._contourOffsets[o][m]))}for(h.unbind(),(h=this._dynamicVAO).bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(f.uniforms.model=n.model,f.uniforms.clipBounds=n.clipBounds,f.uniforms.permutation=k[i],r.lineWidth(this.dynamicWidth[i]*this.pixelRatio),f.uniforms.contourColor=this.dynamicColor[i],f.uniforms.contourTint=this.dynamicTint[i],f.uniforms.height=this.dynamicLevel[i],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),o=0;o<3;++o)this.contourProject[o][i]&&(f.uniforms.model=u.projections[o],f.uniforms.clipBounds=u.clipBounds[o],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));h.unbind()}}S.draw=function(t){return z.call(this,t,!1)},S.drawTransparent=function(t){return z.call(this,t,!0)};var D={model:w,view:w,projection:w,inverseModel:w,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function R(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function F(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function B(t){if(Array.isArray(t)){if(Array.isArray(t))return[F(t[0]),F(t[1]),F(t[2])];var e=F(t);return[e.slice(),e.slice(),e.slice()]}}S.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=D;r.model=t.model||w,r.view=t.view||w,r.projection=t.projection||w,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=O;for(var n=0;n<2;++n)for(var i=r.clipBounds[n],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var o=C(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]*this.pixelRatio),s.uniforms.permutation=k[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(s.uniforms.height=this.contourLevels[a][n],l.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){s.uniforms.permutation=k[a],e.lineWidth(this.contourWidth[a]*this.pixelRatio);for(var c=0;c<this.contourLevels[a].length;++c)this._contourCounts[a][c]&&(s.uniforms.height=this.contourLevels[a][c],l.draw(e.LINES,this._contourCounts[a][c],this._contourOffsets[a][c]))}l.unbind()}},S.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var c=r.position;c[0]=c[1]=c[2]=0;for(var u=0;u<2;++u)for(var f=u?a:1-a,h=0;h<2;++h)for(var p=i+u,d=s+h,g=f*(h?l:1-l),v=0;v<3;++v)c[v]+=this._field[v].get(p,d)*g;for(var y=this._pickResult.level,x=0;x<3;++x)if(y[x]=m.le(this.contourLevels[x],c[x]),y[x]<0)this.contourLevels[x].length>0&&(y[x]=0);else if(y[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][y[x]],_=this.contourLevels[x][y[x]+1];Math.abs(b-c[x])>Math.abs(_-c[x])&&(y[x]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],v=0;v<3;++v)r.dataCoordinate[v]=this._field[v].get(r.index[0],r.index[1]);return r},S.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();c.assign(t.lo(1,1).hi(r[0],r[1]),e),c.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),c.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),c.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),c.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},S.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,"contourWidth"in t&&(this.contourWidth=R(t.contourWidth,Number)),"showContour"in t&&(this.showContour=R(t.showContour,Boolean)),"showSurface"in t&&(this.showSurface=!!t.showSurface),"contourTint"in t&&(this.contourTint=R(t.contourTint,Boolean)),"contourColor"in t&&(this.contourColor=B(t.contourColor)),"contourProject"in t&&(this.contourProject=R(t.contourProject,(function(t){return R(t,Boolean)}))),"surfaceProject"in t&&(this.surfaceProject=t.surfaceProject),"dynamicColor"in t&&(this.dynamicColor=B(t.dynamicColor)),"dynamicTint"in t&&(this.dynamicTint=R(t.dynamicTint,Number)),"dynamicWidth"in t&&(this.dynamicWidth=R(t.dynamicWidth,Number)),"opacity"in t&&(this.opacity=t.opacity),"opacityscale"in t&&(this.opacityscale=t.opacityscale),"colorBounds"in t&&(this.colorBounds=t.colorBounds),"vertexColor"in t&&(this.vertexColor=t.vertexColor?1:0),"colormap"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),"field"in t||"coords"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=f(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error("gl-surface: invalid coordinates for x/y");for(o=0;o<2;++o){var c=l[o];for(v=0;v<2;++v)if(c.shape[v]!==a[v])throw new Error("gl-surface: coords have incorrect shape");this.padField(this._field[o],c)}}else if(t.ticks){var u=t.ticks;if(!Array.isArray(u)||2!==u.length)throw new Error("gl-surface: invalid ticks");for(o=0;o<2;++o){var p=u[o];if((Array.isArray(p)||p.length)&&(p=f(p)),p.shape[0]!==a[o])throw new Error("gl-surface: invalid tick length");var d=f(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var m=[0,0];m[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],m,0)}this._field[0].set(0,0,0);for(var v=0;v<a[0];++v)this._field[0].set(v+1,0,v);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),v=0;v<a[1];++v)this._field[1].set(0,v+1,v);this._field[1].set(0,a[1]+1,a[1]-1)}var y=this._field,x=f(s.mallocFloat(3*y[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)g(x.pick(o),y[o],"mirror");var b=f(s.mallocFloat(3*y[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(v=0;v<a[1]+2;++v){var _=x.get(0,o,v,0),w=x.get(0,o,v,1),k=x.get(1,o,v,0),A=x.get(1,o,v,1),M=x.get(2,o,v,0),S=x.get(2,o,v,1),E=k*S-A*M,L=M*w-S*_,C=_*A-w*k,P=Math.sqrt(E*E+L*L+C*C);P<1e-8?(P=Math.max(Math.abs(E),Math.abs(L),Math.abs(C)))<1e-8?(C=1,L=E=0,P=1):P=1/P:P=1/Math.sqrt(P),b.set(o,v,0,E*P),b.set(o,v,1,L*P),b.set(o,v,2,C*P)}s.free(x.data);var I=[1/0,1/0,1/0],O=[-1/0,-1/0,-1/0],z=1/0,D=-1/0,F=(a[0]-1)*(a[1]-1)*6,N=s.mallocFloat(n.nextPow2(10*F)),j=0,U=0;for(o=0;o<a[0]-1;++o)t:for(v=0;v<a[1]-1;++v){for(var V=0;V<2;++V)for(var H=0;H<2;++H)for(var q=0;q<3;++q){var G=this._field[q].get(1+o+V,1+v+H);if(isNaN(G)||!isFinite(G))continue t}for(q=0;q<6;++q){var Y=o+T[q][0],W=v+T[q][1],X=this._field[0].get(Y+1,W+1),Z=this._field[1].get(Y+1,W+1);G=this._field[2].get(Y+1,W+1),E=b.get(Y+1,W+1,0),L=b.get(Y+1,W+1,1),C=b.get(Y+1,W+1,2),t.intensity&&(J=t.intensity.get(Y,W));var J=t.intensity?t.intensity.get(Y,W):G+this.objectOffset[2];N[j++]=Y,N[j++]=W,N[j++]=X,N[j++]=Z,N[j++]=G,N[j++]=0,N[j++]=J,N[j++]=E,N[j++]=L,N[j++]=C,I[0]=Math.min(I[0],X+this.objectOffset[0]),I[1]=Math.min(I[1],Z+this.objectOffset[1]),I[2]=Math.min(I[2],G+this.objectOffset[2]),z=Math.min(z,J),O[0]=Math.max(O[0],X+this.objectOffset[0]),O[1]=Math.max(O[1],Z+this.objectOffset[1]),O[2]=Math.max(O[2],G+this.objectOffset[2]),D=Math.max(D,J),U+=1}}for(t.intensityBounds&&(z=+t.intensityBounds[0],D=+t.intensityBounds[1]),o=6;o<j;o+=10)N[o]=(N[o]-z)/(D-z);this._vertexCount=U,this._coordinateBuffer.update(N.subarray(0,j)),s.freeFloat(N),s.free(b.data),this.bounds=[I,O],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===z&&this.intensityBounds[1]===D||(r=!0),this.intensityBounds=[z,D]}if("levels"in t){var K=t.levels;for(K=Array.isArray(K[0])?K.slice():[[],[],K],o=0;o<3;++o)K[o]=K[o].slice(),K[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(v=0;v<K[o].length;++v)K[o][v]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(K[o].length!==this.contourLevels[o].length){r=!0;break}for(v=0;v<K[o].length;++v)if(K[o][v]!==this.contourLevels[o][v]){r=!0;break t}}this.contourLevels=K}if(r){y=this._field,a=this.shape;for(var Q=[],$=0;$<3;++$){var tt=this.contourLevels[$],et=[],rt=[],nt=[0,0,0];for(o=0;o<tt.length;++o){var it=h(this._field[$],tt[o]);et.push(Q.length/5|0),U=0;t:for(v=0;v<it.cells.length;++v){var at=it.cells[v];for(q=0;q<2;++q){var ot=it.positions[at[q]],st=ot[0],lt=0|Math.floor(st),ct=st-lt,ut=ot[1],ft=0|Math.floor(ut),ht=ut-ft,pt=!1;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var mt=($+dt+1)%3;for(V=0;V<2;++V){var gt=V?ct:1-ct;for(Y=0|Math.min(Math.max(lt+V,0),a[0]),H=0;H<2;++H){var vt=H?ht:1-ht;if(W=0|Math.min(Math.max(ft+H,0),a[1]),G=dt<2?this._field[mt].get(Y,W):(this.intensity.get(Y,W)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(G)||isNaN(G)){pt=!0;break e}var yt=gt*vt;nt[dt]+=yt*G}}}if(pt){if(q>0){for(var xt=0;xt<5;++xt)Q.pop();U-=1}continue t}Q.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[$]=et,this._contourCounts[$]=rt}var bt=s.mallocFloat(Q.length);for(o=0;o<Q.length;++o)bt[o]=Q[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},S.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},S.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,c=(o+2)%3,u=this._field[o],f=this._field[l],p=this._field[c],d=h(u,r[o]),m=d.cells,g=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<m.length;++e)for(var v=m[e],y=0;y<2;++y){var x=g[v[y]],b=+x[0],_=0|b,w=0|Math.min(_+1,i[0]),T=b-_,k=1-T,A=+x[1],M=0|A,S=0|Math.min(M+1,i[1]),E=A-M,L=1-E,C=k*L,P=k*E,I=T*L,O=T*E,z=C*f.get(_,M)+P*f.get(_,S)+I*f.get(w,M)+O*f.get(w,S),D=C*p.get(_,M)+P*p.get(_,S)+I*p.get(w,M)+O*p.get(w,S);if(isNaN(z)||isNaN(D)){y&&(n-=1);break}a[2*n+0]=z,a[2*n+1]=D,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),s.freeFloat(a)}}},{"./lib/shaders":144,"binary-search-bounds":31,"bit-twiddle":32,colormap:53,"gl-buffer":78,"gl-mat4/invert":98,"gl-mat4/multiply":100,"gl-texture2d":146,"gl-vao":150,ndarray:259,"ndarray-gradient":252,"ndarray-ops":254,"ndarray-pack":255,"surface-nets":302,"typedarray-pool":308}],146:[function(t,e,r){"use strict";var n=t("ndarray"),i=t("ndarray-ops"),a=t("typedarray-pool");e.exports=function(t){if(arguments.length<=1)throw new Error("gl-texture2d: Missing arguments for texture2d constructor");o||c(t);if("number"==typeof arguments[1])return v(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return v(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if("object"==typeof arguments[1]){var e=arguments[1],r=u(e)?e:e.raw;if(r)return y(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return x(t,e)}throw new Error("gl-texture2d: Invalid arguments for texture2d constructor")};var o=null,s=null,l=null;function c(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}function u(t){return"undefined"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||"undefined"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||"undefined"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||"undefined"!=typeof ImageData&&t instanceof ImageData}var f=function(t,e){i.muls(t,e,255)};function h(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error("gl-texture2d: Invalid texture size");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function p(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var d=p.prototype;function m(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function g(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function v(t,e,r,n,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error("gl-texture2d: Invalid texture shape");if(i===t.FLOAT&&!t.getExtension("OES_texture_float"))throw new Error("gl-texture2d: Floating point textures not supported on this platform");var o=g(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new p(t,o,e,r,n,i)}function y(t,e,r,n,i,a){var o=g(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new 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c=0;c<16;++c)this.computedMatrix[c]=.5;this.recalcMatrix(0)}var p=h.prototype;p.setDistanceLimits=function(t,e){t=t>0?Math.log(t):-1/0,e=e>0?Math.log(e):1/0,e=Math.max(e,t),this.radius.bounds[0][0]=t,this.radius.bounds[1][0]=e},p.getDistanceLimits=function(t){var e=this.radius.bounds[0];return t?(t[0]=Math.exp(e[0][0]),t[1]=Math.exp(e[1][0]),t):[Math.exp(e[0][0]),Math.exp(e[1][0])]},p.recalcMatrix=function(t){this.center.curve(t),this.up.curve(t),this.right.curve(t),this.radius.curve(t),this.angle.curve(t);for(var e=this.computedUp,r=this.computedRight,n=0,i=0,a=0;a<3;++a)i+=e[a]*r[a],n+=e[a]*e[a];var l=Math.sqrt(n),u=0;for(a=0;a<3;++a)r[a]-=e[a]*i/n,u+=r[a]*r[a],e[a]/=l;var f=Math.sqrt(u);for(a=0;a<3;++a)r[a]/=f;var h=this.computedToward;o(h,e,r),s(h,h);var p=Math.exp(this.computedRadius[0]),d=this.computedAngle[0],m=this.computedAngle[1],g=Math.cos(d),v=Math.sin(d),y=Math.cos(m),x=Math.sin(m),b=this.computedCenter,_=g*y,w=v*y,T=x,k=-g*x,A=-v*x,M=y,S=this.computedEye,E=this.computedMatrix;for(a=0;a<3;++a){var L=_*r[a]+w*h[a]+T*e[a];E[4*a+1]=k*r[a]+A*h[a]+M*e[a],E[4*a+2]=L,E[4*a+3]=0}var C=E[1],P=E[5],I=E[9],O=E[2],z=E[6],D=E[10],R=P*D-I*z,F=I*O-C*D,B=C*z-P*O,N=c(R,F,B);R/=N,F/=N,B/=N,E[0]=R,E[4]=F,E[8]=B;for(a=0;a<3;++a)S[a]=b[a]+E[2+4*a]*p;for(a=0;a<3;++a){u=0;for(var j=0;j<3;++j)u+=E[a+4*j]*S[j];E[12+a]=-u}E[15]=1},p.getMatrix=function(t,e){this.recalcMatrix(t);var r=this.computedMatrix;if(e){for(var n=0;n<16;++n)e[n]=r[n];return e}return r};var d=[0,0,0];p.rotate=function(t,e,r,n){if(this.angle.move(t,e,r),n){this.recalcMatrix(t);var i=this.computedMatrix;d[0]=i[2],d[1]=i[6],d[2]=i[10];for(var o=this.computedUp,s=this.computedRight,l=this.computedToward,c=0;c<3;++c)i[4*c]=o[c],i[4*c+1]=s[c],i[4*c+2]=l[c];a(i,i,n,d);for(c=0;c<3;++c)o[c]=i[4*c],s[c]=i[4*c+1];this.up.set(t,o[0],o[1],o[2]),this.right.set(t,s[0],s[1],s[2])}},p.pan=function(t,e,r,n){e=e||0,r=r||0,n=n||0,this.recalcMatrix(t);var i=this.computedMatrix,a=(Math.exp(this.computedRadius[0]),i[1]),o=i[5],s=i[9],l=c(a,o,s);a/=l,o/=l,s/=l;var u=i[0],f=i[4],h=i[8],p=u*a+f*o+h*s,d=c(u-=a*p,f-=o*p,h-=s*p),m=(u/=d)*e+a*r,g=(f/=d)*e+o*r,v=(h/=d)*e+s*r;this.center.move(t,m,g,v);var y=Math.exp(this.computedRadius[0]);y=Math.max(1e-4,y+n),this.radius.set(t,Math.log(y))},p.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},p.setMatrix=function(t,e,r,n){var a=1;"number"==typeof r&&(a=0|r),(a<0||a>3)&&(a=1);var o=(a+2)%3;e||(this.recalcMatrix(t),e=this.computedMatrix);var s=e[a],l=e[a+4],f=e[a+8];if(n){var h=Math.abs(s),p=Math.abs(l),d=Math.abs(f),m=Math.max(h,p,d);h===m?(s=s<0?-1:1,l=f=0):d===m?(f=f<0?-1:1,s=l=0):(l=l<0?-1:1,s=f=0)}else{var g=c(s,l,f);s/=g,l/=g,f/=g}var v,y,x=e[o],b=e[o+4],_=e[o+8],w=x*s+b*l+_*f,T=c(x-=s*w,b-=l*w,_-=f*w),k=l*(_/=T)-f*(b/=T),A=f*(x/=T)-s*_,M=s*b-l*x,S=c(k,A,M);if(k/=S,A/=S,M/=S,this.center.jump(t,q,G,Y),this.radius.idle(t),this.up.jump(t,s,l,f),this.right.jump(t,x,b,_),2===a){var E=e[1],L=e[5],C=e[9],P=E*x+L*b+C*_,I=E*k+L*A+C*M;v=R<0?-Math.PI/2:Math.PI/2,y=Math.atan2(I,P)}else{var O=e[2],z=e[6],D=e[10],R=O*s+z*l+D*f,F=O*x+z*b+D*_,B=O*k+z*A+D*M;v=Math.asin(u(R)),y=Math.atan2(B,F)}this.angle.jump(t,y,v),this.recalcMatrix(t);var N=e[2],j=e[6],U=e[10],V=this.computedMatrix;i(V,e);var H=V[15],q=V[12]/H,G=V[13]/H,Y=V[14]/H,W=Math.exp(this.computedRadius[0]);this.center.jump(t,q-N*W,G-j*W,Y-U*W)},p.lastT=function(){return Math.max(this.center.lastT(),this.up.lastT(),this.right.lastT(),this.radius.lastT(),this.angle.lastT())},p.idle=function(t){this.center.idle(t),this.up.idle(t),this.right.idle(t),this.radius.idle(t),this.angle.idle(t)},p.flush=function(t){this.center.flush(t),this.up.flush(t),this.right.flush(t),this.radius.flush(t),this.angle.flush(t)},p.setDistance=function(t,e){e>0&&this.radius.set(t,Math.log(e))},p.lookAt=function(t,e,r,n){this.recalcMatrix(t),e=e||this.computedEye,r=r||this.computedCenter;var i=(n=n||this.computedUp)[0],a=n[1],o=n[2],s=c(i,a,o);if(!(s<1e-6)){i/=s,a/=s,o/=s;var l=e[0]-r[0],f=e[1]-r[1],h=e[2]-r[2],p=c(l,f,h);if(!(p<1e-6)){l/=p,f/=p,h/=p;var d=this.computedRight,m=d[0],g=d[1],v=d[2],y=i*m+a*g+o*v,x=c(m-=y*i,g-=y*a,v-=y*o);if(!(x<.01&&(x=c(m=a*h-o*f,g=o*l-i*h,v=i*f-a*l))<1e-6)){m/=x,g/=x,v/=x,this.up.set(t,i,a,o),this.right.set(t,m,g,v),this.center.set(t,r[0],r[1],r[2]),this.radius.set(t,Math.log(p));var b=a*v-o*g,_=o*m-i*v,w=i*g-a*m,T=c(b,_,w),k=i*l+a*f+o*h,A=m*l+g*f+v*h,M=(b/=T)*l+(_/=T)*f+(w/=T)*h,S=Math.asin(u(k)),E=Math.atan2(M,A),L=this.angle._state,C=L[L.length-1],P=L[L.length-2];C%=2*Math.PI;var I=Math.abs(C+2*Math.PI-E),O=Math.abs(C-E),z=Math.abs(C-2*Math.PI-E);I<O&&(C+=2*Math.PI),z<O&&(C-=2*Math.PI),this.angle.jump(this.angle.lastT(),C,P),this.angle.set(t,E,S)}}}}},{"filtered-vector":68,"gl-mat4/invert":98,"gl-mat4/rotate":103,"gl-vec3/cross":157,"gl-vec3/dot":162,"gl-vec3/normalize":179}],306:[function(t,e,r){"use strict";e.exports=function(t,e,r){var i=t*e,a=n*t,o=a-(a-t),s=t-o,l=n*e,c=l-(l-e),u=e-c,f=s*u-(i-o*c-s*c-o*u);if(r)return r[0]=f,r[1]=i,r;return[f,i]};var n=+(Math.pow(2,27)+1)},{}],307:[function(t,e,r){"use strict";e.exports=function(t,e,r){var n=t+e,i=n-t,a=e-i,o=t-(n-i);if(r)return r[0]=o+a,r[1]=n,r;return[o+a,n]}},{}],308:[function(t,e,r){(function(e){(function(){"use strict";var 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diff --git a/docs/reference/libs/plotly-main-2.25.2/plotly-latest.min.js b/docs/reference/libs/plotly-main-2.25.2/plotly-latest.min.js
new file mode 100644
index 000000000..9f88c0fde
--- /dev/null
+++ b/docs/reference/libs/plotly-main-2.25.2/plotly-latest.min.js
@@ -0,0 +1,8 @@
+/**
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+* Copyright 2012-2025, Plotly, Inc.
+* All rights reserved.
+* Licensed under the MIT license
+*/
+/*! For license information please see plotly.min.js.LICENSE.txt */
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A=v>w,k=s.barLength+2*s.barPad,M=s.barWidth+2*s.barPad,S=d,E=g+y;E+M>u&&(E=u-M);var L=this.container.selectAll("rect.scrollbar-horizontal").data(A?[0]:[]);L.exit().on(".drag",null).remove(),L.enter().append("rect").classed("scrollbar-horizontal",!0).call(i.fill,s.barColor),A?(this.hbar=L.attr({rx:s.barRadius,ry:s.barRadius,x:S,y:E,width:k,height:M}),this._hbarXMin=S+k/2,this._hbarTranslateMax=w-k):(delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax);var C=y>T,P=s.barWidth+2*s.barPad,O=s.barLength+2*s.barPad,I=d+v,D=g;I+P>l&&(I=l-P);var z=this.container.selectAll("rect.scrollbar-vertical").data(C?[0]:[]);z.exit().on(".drag",null).remove(),z.enter().append("rect").classed("scrollbar-vertical",!0).call(i.fill,s.barColor),C?(this.vbar=z.attr({rx:s.barRadius,ry:s.barRadius,x:I,y:D,width:P,height:O}),this._vbarYMin=D+O/2,this._vbarTranslateMax=T-O):(delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax);var R=this.id,F=c-.5,B=C?f+P+.5:f+.5,N=h-.5,j=A?p+M+.5:p+.5,U=o._topdefs.selectAll("#"+R).data(A||C?[0]:[]);if(U.exit().remove(),U.enter().append("clipPath").attr("id",R).append("rect"),A||C?(this._clipRect=U.select("rect").attr({x:Math.floor(F),y:Math.floor(N),width:Math.ceil(B)-Math.floor(F),height:Math.ceil(j)-Math.floor(N)}),this.container.call(a.setClipUrl,R,this.gd),this.bg.attr({x:d,y:g,width:v,height:y})):(this.bg.attr({width:0,height:0}),this.container.on("wheel",null).on(".drag",null).call(a.setClipUrl,null),delete this._clipRect),A||C){var V=n.behavior.drag().on("dragstart",function(){n.event.sourceEvent.preventDefault()}).on("drag",this._onBoxDrag.bind(this));this.container.on("wheel",null).on("wheel",this._onBoxWheel.bind(this)).on(".drag",null).call(V);var 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r=this,n=e[r.id],i=e._size;r._hasClipOnAxisFalse=!1;for(var a=0;a<t.length;a++)if(!1===t[a][0].trace.cliponaxis){r._hasClipOnAxisFalse=!0;break}r.updateLayers(n),r.adjustLayout(n,i),p.generalUpdatePerTraceModule(r.graphDiv,r,t,n),r.layers.plotbg.select("path").call(u.fill,n.bgcolor)},S.makeFramework=function(t){var e=this,r=e.graphDiv,n=t[e.id],i=e.clipId="clip"+e.layoutId+e.id,a=e.clipIdRelative="clip-relative"+e.layoutId+e.id;e.clipDef=o.ensureSingleById(t._clips,"clipPath",i,function(t){t.append("path").attr("d","M0,0Z")}),e.clipDefRelative=o.ensureSingleById(t._clips,"clipPath",a,function(t){t.append("path").attr("d","M0,0Z")}),e.plotContainer=o.ensureSingle(e.container,"g",e.id),e.updateLayers(n),c.setClipUrl(e.layers.backplot,i,r),c.setClipUrl(e.layers.grids,i,r)},S.updateLayers=function(t){var e=this.layers,r=["draglayer","plotbg","backplot","grids"];"below traces"===t.aaxis.layer&&r.push("aaxis","aline"),"below traces"===t.baxis.layer&&r.push("baxis","bline"),"below 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e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[""].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[""].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[""].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[""].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,u.local.invalidDate||u.regionalOptions[""].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,"d"===r||"w"===r){var n=t.toJD()+e*("w"===r?this.daysInWeek():1),i=t.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=t.year()+("y"===r?e:0),o=t.monthOfYear()+("m"===r?e:0);i=t.day(),"y"===r?(t.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):"m"===r&&(function(t){for(;o<t.minMonth;)a--,o+=t.monthsInYear(a);for(var e=t.monthsInYear(a);o>e-1+t.minMonth;)a++,o-=e,e=t.monthsInYear(a)}(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var s=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,s}catch(t){throw this._validateLevel--,t}},_correctAdd:function(t,e,r,n){if(!(this.hasYearZero||"y"!==n&&"m"!==n||0!==e[0]&&t.year()>0==e[0]>0)){var i={y:[1,1,"y"],m:[1,this.monthsInYear(-1),"m"],w:[this.daysInWeek(),this.daysInYear(-1),"d"],d:[1,this.daysInYear(-1),"d"]}[n],a=r<0?-1:1;e=this._add(t,r*i[0]+a*i[1],i[2])}return t.date(e[0],e[1],e[2])},set:function(t,e,r){this._validate(t,this.minMonth,this.minDay,u.local.invalidDate||u.regionalOptions[""].invalidDate);var n="y"===r?e:t.year(),i="m"===r?e:t.month(),a="d"===r?e:t.day();return"y"!==r&&"m"!==r||(a=Math.min(a,this.daysInMonth(n,i))),t.date(n,i,a)},isValid:function(t,e,r){this._validateLevel++;var n=this.hasYearZero||0!==t;if(n){var i=this.newDate(t,e,this.minDay);n=e>=this.minMonth&&e-this.minMonth<this.monthsInYear(i)&&r>=this.minDay&&r-this.minDay<this.daysInMonth(i)}return this._validateLevel--,n},toJSDate:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[""].invalidDate);return u.instance().fromJD(this.toJD(n)).toJSDate()},fromJSDate:function(t){return this.fromJD(u.instance().fromJSDate(t).toJD())},_validate:function(t,e,r,n){if(t.year){if(0===this._validateLevel&&this.name!==t.calendar().name)throw(u.local.differentCalendars||u.regionalOptions[""].differentCalendars).replace(/\{0\}/,this.local.name).replace(/\{1\}/,t.calendar().local.name);return t}try{if(this._validateLevel++,1===this._validateLevel&&!this.isValid(t,e,r))throw n.replace(/\{0\}/,this.local.name);var i=this.newDate(t,e,r);return this._validateLevel--,i}catch(t){throw this._validateLevel--,t}}}),l.prototype=new 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n.add(4-(n.dayOfWeek()||7),"d"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,u.local.invalidMonth||u.regionalOptions[""].invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[""].invalidDate);t=n.year(),e=n.month(),r=n.day(),t<0&&t++,e<3&&(e+=12,t--);var i=Math.floor(t/100),a=2-i+Math.floor(i/4);return Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r+a-1524.5},fromJD:function(t){var e=Math.floor(t+.5),r=Math.floor((e-1867216.25)/36524.25),n=1524+(r=e+1+r-Math.floor(r/4)),i=Math.floor((n-122.1)/365.25),a=Math.floor(365.25*i),o=Math.floor((n-a)/30.6001),s=n-a-Math.floor(30.6001*o),l=o-(o>13.5?13:1),u=i-(l>2.5?4716:4715);return u<=0&&u--,this.newDate(u,l,s)},toJSDate:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[""].invalidDate),i=new Date(n.year(),n.month()-1,n.day());return i.setHours(0),i.setMinutes(0),i.setSeconds(0),i.setMilliseconds(0),i.setHours(i.getHours()>12?i.getHours()+2:0),i},fromJSDate:function(t){return this.newDate(t.getFullYear(),t.getMonth()+1,t.getDate())}});var u=t.exports=new i;u.cdate=a,u.baseCalendar=s,u.calendars.gregorian=l},10017:function(t,e,r){"use strict";var n,i=r(78030),a=r(22138)(),o=r(16423),s=r(94693);if(a){var l=i("RegExp.prototype.exec"),u={},c=function(){throw u},f={toString:c,valueOf:c};"symbol"==typeof Symbol.toPrimitive&&(f[Symbol.toPrimitive]=c),n=function(t){if(!t||"object"!=typeof t)return!1;var e=s(t,"lastIndex");if(!e||!o(e,"value"))return!1;try{l(t,f)}catch(t){return t===u}}}else{var h=i("Object.prototype.toString");n=function(t){return!(!t||"object"!=typeof t&&"function"!=typeof t)&&"[object RegExp]"===h(t)}}t.exports=n},10088:function(t,e,r){"use strict";var n=r(15181);function 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n=r(29278),i=r(92444).templatedArray;r(85669),t.exports=i("image",{visible:{valType:"boolean",dflt:!0,editType:"arraydraw"},source:{valType:"string",editType:"arraydraw"},layer:{valType:"enumerated",values:["below","above"],dflt:"above",editType:"arraydraw"},sizex:{valType:"number",dflt:0,editType:"arraydraw"},sizey:{valType:"number",dflt:0,editType:"arraydraw"},sizing:{valType:"enumerated",values:["fill","contain","stretch"],dflt:"contain",editType:"arraydraw"},opacity:{valType:"number",min:0,max:1,dflt:1,editType:"arraydraw"},x:{valType:"any",dflt:0,editType:"arraydraw"},y:{valType:"any",dflt:0,editType:"arraydraw"},xanchor:{valType:"enumerated",values:["left","center","right"],dflt:"left",editType:"arraydraw"},yanchor:{valType:"enumerated",values:["top","middle","bottom"],dflt:"top",editType:"arraydraw"},xref:{valType:"enumerated",values:["paper",n.idRegex.x.toString()],dflt:"paper",editType:"arraydraw"},yref:{valType:"enumerated",values:["paper",n.idRegex.y.toString()],dflt:"paper",editType:"arraydraw"},editType:"arraydraw"})},10194:function(t){"use 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}\n  else {\n    float borderColorAmt = smoothstep(fragBorderColorLevel - delta, fragBorderColorLevel + delta, dist);\n    float colorAmt = smoothstep(fragColorLevel - delta, fragColorLevel + delta, dist);\n\n    vec4 color = fragBorderColor;\n    color.a *= borderColorAmt;\n    color = mix(color, fragColor, colorAmt);\n    color.a *= opacity;\n\n    gl_FragColor = color;\n  }\n\n}\n"]),s.vert=h(["precision highp float;\n#define GLSLIFY 1\n\nattribute float x, y, xFract, yFract;\nattribute float size, borderSize;\nattribute vec4 colorId, borderColorId;\nattribute float isActive;\n\n// `invariant` effectively turns off optimizations for the position.\n// We need this because -fast-math on M1 Macs is re-ordering\n// floating point operations in a way that causes floating point\n// precision limits to put points in the wrong locations.\ninvariant gl_Position;\n\nuniform bool constPointSize;\nuniform float pixelRatio;\nuniform vec2 scale, scaleFract, translate, translateFract, 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scale\n      + (positionFract + translateFract) * scale\n      + (position + translate) * scaleFract\n      + (positionFract + translateFract) * scaleFract;\n\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\n\n  fragColor = color;\n  fragBorderColor = borderColor;\n  fragWidth = 1. / gl_PointSize;\n\n  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\n  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\n}\n"]),this.drawMarker=t(s);var l=f({},o);l.frag=h(["precision highp float;\n#define GLSLIFY 1\n\nvarying vec4 fragColor, fragBorderColor;\nvarying float fragBorderRadius, fragWidth;\n\nuniform float opacity;\n\nfloat smoothStep(float edge0, float edge1, float x) {\n\tfloat t;\n\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\n\treturn t * t * (3.0 - 2.0 * t);\n}\n\nvoid main() {\n\tfloat radius, alpha = 1.0, delta = fragWidth;\n\n\tradius = length(2.0 * gl_PointCoord.xy - 1.0);\n\n\tif (radius > 1.0 + delta) {\n\t\tdiscard;\n\t}\n\n\talpha -= smoothstep(1.0 - delta, 1.0 + delta, radius);\n\n\tfloat borderRadius = fragBorderRadius;\n\tfloat ratio = smoothstep(borderRadius - delta, borderRadius + delta, radius);\n\tvec4 color = mix(fragColor, fragBorderColor, ratio);\n\tcolor.a *= alpha * opacity;\n\tgl_FragColor = color;\n}\n"]),l.vert=h(["precision highp float;\n#define GLSLIFY 1\n\nattribute float x, y, xFract, yFract;\nattribute float size, borderSize;\nattribute vec4 colorId, borderColorId;\nattribute float isActive;\n\n// `invariant` effectively turns off optimizations for the position.\n// We need this because -fast-math on M1 Macs is re-ordering\n// floating point operations in a way that causes floating point\n// precision limits to put points in the wrong locations.\ninvariant gl_Position;\n\nuniform bool constPointSize;\nuniform float pixelRatio;\nuniform vec2 paletteSize, scale, scaleFract, translate, translateFract;\nuniform sampler2D paletteTexture;\n\nconst float maxSize = 100.;\n\nvarying vec4 fragColor, fragBorderColor;\nvarying float fragBorderRadius, fragWidth;\n\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\n\nbool isDirect = (paletteSize.x < 1.);\n\nvec4 getColor(vec4 id) {\n  return isDirect ? id / 255. : texture2D(paletteTexture,\n    vec2(\n      (id.x + .5) / paletteSize.x,\n      (id.y + .5) / paletteSize.y\n    )\n  );\n}\n\nvoid main() {\n  // ignore inactive points\n  if (isActive == 0.) return;\n\n  vec2 position = vec2(x, y);\n  vec2 positionFract = vec2(xFract, yFract);\n\n  vec4 color = getColor(colorId);\n  vec4 borderColor = getColor(borderColorId);\n\n  float size = size * maxSize / 255.;\n  float borderSize = borderSize * maxSize / 255.;\n\n  gl_PointSize = (size + borderSize) * pointSizeScale;\n\n  vec2 pos = (position + translate) * scale\n      + (positionFract + translateFract) * scale\n      + (position + translate) * scaleFract\n      + (positionFract + translateFract) * scaleFract;\n\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\n\n  fragBorderRadius = 1. - 2. * borderSize / (size + borderSize);\n  fragColor = color;\n  fragBorderColor = borderColor.a == 0. || borderSize == 0. ? vec4(color.rgb, 0.) : borderColor;\n  fragWidth = 1. / gl_PointSize;\n}\n"]),g&&(l.frag=l.frag.replace("smoothstep","smoothStep"),s.frag=s.frag.replace("smoothstep","smoothStep")),this.drawCircle=t(l)}b.defaults={color:"black",borderColor:"transparent",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4},b.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},b.prototype.draw=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];var i=this.groups;if(1===r.length&&Array.isArray(r[0])&&(null===r[0][0]||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var a=0;a<r.length;a++)this.drawItem(a,r[a]);else i.forEach(function(e,r){t.drawItem(r)});return this},b.prototype.drawItem=function(t,e){var r=this.groups,n=r[t];if("number"==typeof e&&(t=e,n=r[e],e=null),n&&n.count&&n.opacity){n.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,n,e));for(var a=[],o=1;o<n.activation.length;o++)n.activation[o]&&(!0===n.activation[o]||n.activation[o].data.length)&&a.push.apply(a,i(this.getMarkerDrawOptions(o,n,e)));a.length&&this.drawMarker(a)}},b.prototype.getMarkerDrawOptions=function(t,e,r){var i=e.range,a=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,u=e.count;if(this.regl,!a)return r?[f({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[f({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var c=[],h=a.range(i,{lod:!0,px:[(i[2]-i[0])/o.width,(i[3]-i[1])/o.height]});if(r){for(var p=s[t].data,d=new Uint8Array(u),v=0;v<r.length;v++){var g=r[v];d[g]=p?p[g]:1}l.subdata(d)}for(var y=h.length;y--;){var m=n(h[y],2),x=m[0],b=m[1];c.push(f({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:b-x}))}return c},b.prototype.update=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];if(r.length){1===r.length&&Array.isArray(r[0])&&(r=r[0]);var i=this.groups,a=this.gl,o=this.regl,s=this.maxSize,u=this.maxColors,h=this.palette;this.groups=i=r.map(function(e,r){var n=i[r];if(void 0===e)return n;null===e?e={positions:null}:"function"==typeof e?e={ondraw:e}:"number"==typeof e[0]&&(e={positions:e}),null===(e=p(e,{positions:"positions data points",snap:"snap cluster lod tree",size:"sizes size radius",borderSize:"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline",color:"colors color fill fill-color fillColor",borderColor:"borderColors borderColor stroke stroke-color strokeColor",marker:"markers marker shape",range:"range dataBox databox",viewport:"viewport viewPort viewBox viewbox",opacity:"opacity alpha transparency",bounds:"bound bounds boundaries limits",tooManyColors:"tooManyColors palette paletteMode optimizePalette enablePalette"})).positions&&(e.positions=[]),null!=e.tooManyColors&&(t.tooManyColors=e.tooManyColors),n||(i[r]=n={id:r,scale:null,translate:null,scaleFract:null,translateFract:null,activation:[],selectionBuffer:o.buffer({data:new Uint8Array(0),usage:"stream",type:"uint8"}),sizeBuffer:o.buffer({data:new Uint8Array(0),usage:"dynamic",type:"uint8"}),colorBuffer:o.buffer({data:new Uint8Array(0),usage:"dynamic",type:"uint8"}),positionBuffer:o.buffer({data:new Uint8Array(0),usage:"dynamic",type:"float"}),positionFractBuffer:o.buffer({data:new Uint8Array(0),usage:"dynamic",type:"float"})},e=f({},b.defaults,e)),e.positions&&!("marker"in e)&&(e.marker=n.marker,delete n.marker),e.marker&&!("positions"in e)&&(e.positions=n.positions,delete n.positions);var g=0,x=0;if(d(n,e,[{snap:!0,size:function(t,e){return null==t&&(t=b.defaults.size),g+=t&&t.length?1:0,t},borderSize:function(t,e){return null==t&&(t=b.defaults.borderSize),g+=t&&t.length?1:0,t},opacity:parseFloat,color:function(e,r){return null==e&&(e=b.defaults.color),e=t.updateColor(e),x++,e},borderColor:function(e,r){return null==e&&(e=b.defaults.borderColor),e=t.updateColor(e),x++,e},bounds:function(t,e,r){return"range"in r||(r.range=null),t},positions:function(t,e,r){var n=e.snap,i=e.positionBuffer,a=e.positionFractBuffer,s=e.selectionBuffer;if(t.x||t.y)return t.x.length?e.xAttr={buffer:o.buffer(t.x),offset:0,stride:4,count:t.x.length}:e.xAttr={buffer:t.x.buffer,offset:4*t.x.offset||0,stride:4*(t.x.stride||1),count:t.x.count},t.y.length?e.yAttr={buffer:o.buffer(t.y),offset:0,stride:4,count:t.y.length}:e.yAttr={buffer:t.y.buffer,offset:4*t.y.offset||0,stride:4*(t.y.stride||1),count:t.y.count},e.count=Math.max(e.xAttr.count,e.yAttr.count),t;t=v(t,"float64");var u=e.count=Math.floor(t.length/2),f=e.bounds=u?l(t,2):null;if(r.range||e.range||(delete e.range,r.range=f),r.marker||e.marker||(delete e.marker,r.marker=null),n&&(!0===n||u>n)?e.tree=c(t,{bounds:f}):n&&n.length&&(e.tree=n),e.tree){var h={primitive:"points",usage:"static",data:e.tree,type:"uint32"};e.elements?e.elements(h):e.elements=o.elements(h)}var p=y.float32(t);return i({data:p,usage:"dynamic"}),a({data:y.fract32(t,p),usage:"dynamic"}),s({data:new Uint8Array(u),type:"uint8",usage:"stream"}),t}},{marker:function(e,r,n){var i=r.activation;if(i.forEach(function(t){return t&&t.destroy&&t.destroy()}),i.length=0,e&&"number"!=typeof e[0]){for(var a=[],s=0,l=Math.min(e.length,r.count);s<l;s++){var u=t.addMarker(e[s]);a[u]||(a[u]=new Uint8Array(r.count)),a[u][s]=1}for(var c=0;c<a.length;c++)if(a[c]){var f={data:a[c],type:"uint8",usage:"static"};i[c]?i[c](f):i[c]=o.buffer(f),i[c].data=a[c]}}else i[t.addMarker(e)]=!0;return e},range:function(t,e,r){var n=e.bounds;if(n)return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=y.fract(e.scale),e.translateFract=y.fract(e.translate),t},viewport:function(t){return m(t||[a.drawingBufferWidth,a.drawingBufferHeight])}}]),g){var _=n,w=_.count,T=_.size,A=_.borderSize,k=_.sizeBuffer,M=new Uint8Array(2*w);if(T.length||A.length)for(var S=0;S<w;S++)M[2*S]=Math.round(255*(null==T[S]?T:T[S])/s),M[2*S+1]=Math.round(255*(null==A[S]?A:A[S])/s);k({data:M,usage:"dynamic"})}if(x){var E,L=n,C=L.count,P=L.color,O=L.borderColor,I=L.colorBuffer;if(t.tooManyColors){if(P.length||O.length){E=new Uint8Array(8*C);for(var D=0;D<C;D++){var z=P[D];E[8*D]=h[4*z],E[8*D+1]=h[4*z+1],E[8*D+2]=h[4*z+2],E[8*D+3]=h[4*z+3];var R=O[D];E[8*D+4]=h[4*R],E[8*D+5]=h[4*R+1],E[8*D+6]=h[4*R+2],E[8*D+7]=h[4*R+3]}}}else if(P.length||O.length){E=new Uint8Array(4*C+2);for(var F=0;F<C;F++)null!=P[F]&&(E[4*F]=P[F]%u,E[4*F+1]=Math.floor(P[F]/u)),null!=O[F]&&(E[4*F+2]=O[F]%u,E[4*F+3]=Math.floor(O[F]/u))}I({data:E||new 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e=(t.data.index[0]-1)/this.dataScaleX-1,r=(t.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(e),this.data.z[0].length-1),0),i=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);t.index=[n,i],t.traceCoordinate=[this.getXat(n,i),this.getYat(n,i),this.getZat(n,i)],t.dataCoordinate=[this.getXat(n,i,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,i,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,i,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var a=0;a<3;a++){null!=t.dataCoordinate[a]&&(t.dataCoordinate[a]*=this.scene.dataScale[a])}var o=this.data.hovertext||this.data.text;return Array.isArray(o)&&o[i]&&void 0!==o[i][n]?t.textLabel=o[i][n]:t.textLabel=o||"",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var d=[2,3,5,7,11,13,17,19,23,29,31,37,41,43,47,53,59,61,67,71,73,79,83,89,97,101,103,107,109,113,127,131,137,139,149,151,157,163,167,173,179,181,191,193,197,199,211,223,227,229,233,239,241,251,257,263,269,271,277,281,283,293,307,311,313,317,331,337,347,349,353,359,367,373,379,383,389,397,401,409,419,421,431,433,439,443,449,457,461,463,467,479,487,491,499,503,509,521,523,541,547,557,563,569,571,577,587,593,599,601,607,613,617,619,631,641,643,647,653,659,661,673,677,683,691,701,709,719,727,733,739,743,751,757,761,769,773,787,797,809,811,821,823,827,829,839,853,857,859,863,877,881,883,887,907,911,919,929,937,941,947,953,967,971,977,983,991,997,1009,1013,1019,1021,1031,1033,1039,1049,1051,1061,1063,1069,1087,1091,1093,1097,1103,1109,1117,1123,1129,1151,1153,1163,1171,1181,1187,1193,1201,1213,1217,1223,1229,1231,1237,1249,1259,1277,1279,1283,1289,1291,1297,1301,1303,1307,1319,1321,1327,1361,1367,1373,1381,1399,1409,1423,1427,1429,1433,1439,1447,1451,1453,1459,1471,1481,1483,1487,1489,1493,1499,1511,1523,1531,1543,1549,1553,1559,1567,1571,1579,1583,1597,1601,1607,1609,1613,1619,1621,1627,1637,1657,1663,1667,1669,1693,1697,1699,1709,1721,1723,1733,1741,1747,1753,1759,1777,1783,1787,1789,1801,1811,1823,1831,1847,1861,1867,1871,1873,1877,1879,1889,1901,1907,1913,1931,1933,1949,1951,1973,1979,1987,1993,1997,1999,2003,2011,2017,2027,2029,2039,2053,2063,2069,2081,2083,2087,2089,2099,2111,2113,2129,2131,2137,2141,2143,2153,2161,2179,2203,2207,2213,2221,2237,2239,2243,2251,2267,2269,2273,2281,2287,2293,2297,2309,2311,2333,2339,2341,2347,2351,2357,2371,2377,2381,2383,2389,2393,2399,2411,2417,2423,2437,2441,2447,2459,2467,2473,2477,2503,2521,2531,2539,2543,2549,2551,2557,2579,2591,2593,2609,2617,2621,2633,2647,2657,2659,2663,2671,2677,2683,2687,2689,2693,2699,2707,2711,2713,2719,2729,2731,2741,2749,2753,2767,2777,2789,2791,2797,2801,2803,2819,2833,2837,2843,2851,2857,2861,2879,2887,2897,2903,2909,2917,2927,2939,2953,2957,2963,2969,2971,2999];function v(t,e){if(t<e)return 0;for(var r=0;0===Math.floor(t%e);)t/=e,r++;return r}function g(t){for(var e=[],r=0;r<d.length;r++){var n=d[r];e.push(v(t,n))}return e}function y(t){for(var e=g(t),r=t,n=0;n<d.length;n++)if(e[n]>0){r=d[n];break}return r}function m(t,e){if(!(t<1||e<1)){for(var r=g(t),n=g(e),i=1,a=0;a<d.length;a++)i*=Math.pow(d[a],Math.max(r[a],n[a]));return i}}p.calcXnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getXat(e-1,0),i=this.getXat(e,0);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r},p.calcYnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getYat(0,e-1),i=this.getYat(0,e);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r};var x=[1,2,4,6,12,24,36,48,60,120,180,240,360,720,840,1260],b=x[9],_=x[13];function w(t,e,r){var n=r[8]+r[2]*e[0]+r[5]*e[1];return t[0]=(r[6]+r[0]*e[0]+r[3]*e[1])/n,t[1]=(r[7]+r[1]*e[0]+r[4]*e[1])/n,t}function T(t,e,r){return function(t,e,r,n){for(var i=[0,0],o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var u=0;u<s;u++)r(i,[l,u],n),t.set(l,u,a(e,i[0],i[1]))}(t,e,w,r),t}function A(t,e){for(var r=!1,n=0;n<t.length;n++)if(e===t[n]){r=!0;break}!1===r&&t.push(e)}p.estimateScale=function(t,e){for(var r=1+function(t){if(0!==t.length){for(var e=1,r=0;r<t.length;r++)e=m(e,t[r]);return e}}(0===e?this.calcXnums(t):this.calcYnums(t));r<b;)r*=2;for(;r>_;)r--,r/=y(r),++r<b&&(r=_);var n=Math.round(r/t);return n>1?n:1},p.refineCoords=function(t){for(var e=this.dataScaleX,r=this.dataScaleY,n=t[0].shape[0],a=t[0].shape[1],o=0|Math.floor(t[0].shape[0]*e+1),s=0|Math.floor(t[0].shape[1]*r+1),l=1+n+1,u=1+a+1,c=i(new Float32Array(l*u),[l,u]),f=[1/e,0,0,0,1/r,0,0,0,1],h=0;h<t.length;++h){this.surface.padField(c,t[h]);var p=i(new Float32Array(o*s),[o,s]);T(p,c,f),t[h]=p}},p.setContourLevels=function(){var t,e,r,n=[[],[],[]],i=[!1,!1,!1],a=!1;for(t=0;t<3;++t)if(this.showContour[t]&&(a=!0,this.contourSize[t]>0&&null!==this.contourStart[t]&&null!==this.contourEnd[t]&&this.contourEnd[t]>this.contourStart[t]))for(i[t]=!0,e=this.contourStart[t];e<this.contourEnd[t];e+=this.contourSize[t])r=e*this.scene.dataScale[t],A(n[t],r);if(a){var o=[[],[],[]];for(t=0;t<3;++t)this.showContour[t]&&(o[t]=i[t]?n[t]:this.scene.contourLevels[t]);this.surface.update({levels:o})}},p.update=function(t){var e,r,n,a,l=this.scene,h=l.fullSceneLayout,p=this.surface,d=u(t),v=l.dataScale,g=t.z[0].length,y=t._ylength,m=l.contourLevels;this.data=t;var x=[];for(e=0;e<3;e++)for(x[e]=[],r=0;r<g;r++)x[e][r]=[];for(r=0;r<g;r++)for(n=0;n<y;n++)x[0][r][n]=this.getXat(r,n,t.xcalendar,h.xaxis),x[1][r][n]=this.getYat(r,n,t.ycalendar,h.yaxis),x[2][r][n]=this.getZat(r,n,t.zcalendar,h.zaxis);if(t.connectgaps)for(t._emptypoints=s(x[2]),o(x[2],t._emptypoints),t._interpolatedZ=[],r=0;r<g;r++)for(t._interpolatedZ[r]=[],n=0;n<y;n++)t._interpolatedZ[r][n]=x[2][r][n];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<y;n++)null==(a=x[e][r][n])?x[e][r][n]=NaN:a=x[e][r][n]*=v[e];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<y;n++)null!=(a=x[e][r][n])&&(this.minValues[e]>a&&(this.minValues[e]=a),this.maxValues[e]<a&&(this.maxValues[e]=a));for(e=0;e<3;e++)this.objectOffset[e]=.5*(this.minValues[e]+this.maxValues[e]);for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<y;n++)null!=(a=x[e][r][n])&&(x[e][r][n]-=this.objectOffset[e]);var b=[i(new Float32Array(g*y),[g,y]),i(new Float32Array(g*y),[g,y]),i(new Float32Array(g*y),[g,y])];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<y;n++)b[e].set(r,n,x[e][r][n]);x=[];var w={colormap:d,levels:[[],[],[]],showContour:[!0,!0,!0],showSurface:!t.hidesurface,contourProject:[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],contourWidth:[1,1,1],contourColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],contourTint:[1,1,1],dynamicColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],dynamicWidth:[1,1,1],dynamicTint:[1,1,1],opacityscale:t.opacityscale,opacity:t.opacity},T=f(t);if(w.intensityBounds=[T.min,T.max],t.surfacecolor){var A=i(new Float32Array(g*y),[g,y]);for(r=0;r<g;r++)for(n=0;n<y;n++)A.set(r,n,t.surfacecolor[n][r]);b.push(A)}else w.intensityBounds[0]*=v[2],w.intensityBounds[1]*=v[2];(_<b[0].shape[0]||_<b[0].shape[1])&&(this.refineData=!1),!0===this.refineData&&(this.dataScaleX=this.estimateScale(b[0].shape[0],0),this.dataScaleY=this.estimateScale(b[0].shape[1],1),1===this.dataScaleX&&1===this.dataScaleY||this.refineCoords(b)),t.surfacecolor&&(w.intensity=b.pop());var k=[!0,!0,!0],M=["x","y","z"];for(e=0;e<3;++e){var S=t.contours[M[e]];k[e]=S.highlight,w.showContour[e]=S.show||S.highlight,w.showContour[e]&&(w.contourProject[e]=[S.project.x,S.project.y,S.project.z],S.show?(this.showContour[e]=!0,w.levels[e]=m[e],p.highlightColor[e]=w.contourColor[e]=c(S.color),S.usecolormap?p.highlightTint[e]=w.contourTint[e]=0:p.highlightTint[e]=w.contourTint[e]=1,w.contourWidth[e]=S.width,this.contourStart[e]=S.start,this.contourEnd[e]=S.end,this.contourSize[e]=S.size):(this.showContour[e]=!1,this.contourStart[e]=null,this.contourEnd[e]=null,this.contourSize[e]=0),S.highlight&&(w.dynamicColor[e]=c(S.highlightcolor),w.dynamicWidth[e]=S.highlightwidth))}(function(t){var e=t[0].rgb,r=t[t.length-1].rgb;return e[0]===r[0]&&e[1]===r[1]&&e[2]===r[2]&&e[3]===r[3]})(d)&&(w.vertexColor=!0),w.objectOffset=this.objectOffset,w.coords=b,p.update(w),p.visible=t.visible,p.enableDynamic=k,p.enableHighlight=k,p.snapToData=!0,"lighting"in t&&(p.ambientLight=t.lighting.ambient,p.diffuseLight=t.lighting.diffuse,p.specularLight=t.lighting.specular,p.roughness=t.lighting.roughness,p.fresnel=t.lighting.fresnel),"lightposition"in t&&(p.lightPosition=[t.lightposition.x,t.lightposition.y,t.lightposition.z])},p.dispose=function(){this.scene.glplot.remove(this.surface),this.surface.dispose()},t.exports=function(t,e){var r=t.glplot.gl,i=n({gl:r}),a=new h(t,i,e.uid);return i._trace=a,a.update(e),t.glplot.add(i),a}},22745:function(t,e,r){"use strict";var n=r(79758),i=r(78945).BADNUM,a=r(54899).smith;t.exports=function(t,e,r){for(var o=e.layers.frontplot.select("g.scatterlayer"),s=e.xaxis,l=e.yaxis,u={xaxis:s,yaxis:l,plot:e.framework,layerClipId:e._hasClipOnAxisFalse?e.clipIds.forTraces:null},c=0;c<r.length;c++)for(var f=r[c],h=0;h<f.length;h++){0===h&&(f[0].trace._xA=s,f[0].trace._yA=l);var p=f[h],d=p.real;if(d===i)p.x=p.y=i;else{var v=a([d,p.imag]);p.x=v[0],p.y=v[1]}}n(t,u,r,o)}},22809:function(t,e,r){"use strict";var n=r(3438).bc,i=r(3438).VG,a=r(3438).rU,o=r(93639),s=i("Exif\0\0");t.exports=function(t){if(!(t.length<2)&&255===t[0]&&216===t[1]&&255===t[2])for(var e=2;;){for(;;){if(t.length-e<2)return;if(255===t[e++])break}for(var r,i,l=t[e++];255===l;)l=t[e++];if(208<=l&&l<=217||1===l)r=0;else{if(!(192<=l&&l<=254))return;if(t.length-e<2)return;r=n(t,e)-2,e+=2}if(217===l||218===l)return;if(225===l&&r>=10&&a(t,e,s)&&(i=o.get_orientation(t.slice(e+6,e+r))),r>=5&&192<=l&&l<=207&&196!==l&&200!==l&&204!==l){if(t.length-e<r)return;var u={width:n(t,e+3),height:n(t,e+1),type:"jpg",mime:"image/jpeg",wUnits:"px",hUnits:"px"};return i>0&&(u.orientation=i),u}e+=r}}},22886:function(t,e,r){"use strict";var n=r(75671),i=r(46329).findBin,a=r(95663),o=r(74176),s=r(77828),l=r(32443);t.exports=function(t){var e=t._a,r=t._b,u=e.length,c=r.length,f=t.aaxis,h=t.baxis,p=e[0],d=e[u-1],v=r[0],g=r[c-1],y=e[e.length-1]-e[0],m=r[r.length-1]-r[0],x=y*n.RELATIVE_CULL_TOLERANCE,b=m*n.RELATIVE_CULL_TOLERANCE;p-=x,d+=x,v-=b,g+=b,t.isVisible=function(t,e){return t>p&&t<d&&e>v&&e<g},t.isOccluded=function(t,e){return t<p||t>d||e<v||e>g},t.setScale=function(){var e=t._x,r=t._y,n=a(t._xctrl,t._yctrl,e,r,f.smoothing,h.smoothing);t._xctrl=n[0],t._yctrl=n[1],t.evalxy=o([t._xctrl,t._yctrl],u,c,f.smoothing,h.smoothing),t.dxydi=s([t._xctrl,t._yctrl],f.smoothing,h.smoothing),t.dxydj=l([t._xctrl,t._yctrl],f.smoothing,h.smoothing)},t.i2a=function(t){var r=Math.max(0,Math.floor(t[0]),u-2),n=t[0]-r;return(1-n)*e[r]+n*e[r+1]},t.j2b=function(t){var e=Math.max(0,Math.floor(t[1]),u-2),n=t[1]-e;return(1-n)*r[e]+n*r[e+1]},t.ij2ab=function(e){return[t.i2a(e[0]),t.j2b(e[1])]},t.a2i=function(t){var r=Math.max(0,Math.min(i(t,e),u-2)),n=e[r],a=e[r+1];return Math.max(0,Math.min(u-1,r+(t-n)/(a-n)))},t.b2j=function(t){var e=Math.max(0,Math.min(i(t,r),c-2)),n=r[e],a=r[e+1];return Math.max(0,Math.min(c-1,e+(t-n)/(a-n)))},t.ab2ij=function(e){return[t.a2i(e[0]),t.b2j(e[1])]},t.i2c=function(e,r){return t.evalxy([],e,r)},t.ab2xy=function(n,i,a){if(!a&&(n<e[0]||n>e[u-1]|i<r[0]||i>r[c-1]))return[!1,!1];var o=t.a2i(n),s=t.b2j(i),l=t.evalxy([],o,s);if(a){var f,h,p,d,v=0,g=0,y=[];n<e[0]?(f=0,h=0,v=(n-e[0])/(e[1]-e[0])):n>e[u-1]?(f=u-2,h=1,v=(n-e[u-1])/(e[u-1]-e[u-2])):h=o-(f=Math.max(0,Math.min(u-2,Math.floor(o)))),i<r[0]?(p=0,d=0,g=(i-r[0])/(r[1]-r[0])):i>r[c-1]?(p=c-2,d=1,g=(i-r[c-1])/(r[c-1]-r[c-2])):d=s-(p=Math.max(0,Math.min(c-2,Math.floor(s)))),v&&(t.dxydi(y,f,p,h,d),l[0]+=y[0]*v,l[1]+=y[1]*v),g&&(t.dxydj(y,f,p,h,d),l[0]+=y[0]*g,l[1]+=y[1]*g)}return l},t.c2p=function(t,e,r){return[e.c2p(t[0]),r.c2p(t[1])]},t.p2x=function(t,e,r){return[e.p2c(t[0]),r.p2c(t[1])]},t.dadi=function(t){var r=Math.max(0,Math.min(e.length-2,t));return e[r+1]-e[r]},t.dbdj=function(t){var e=Math.max(0,Math.min(r.length-2,t));return 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i=e&&e.length,a=i?e[0]*r:t.length,o=Math.abs(M(t,0,a,r));if(i)for(var s=0,l=e.length;s<l;s++){var u=e[s]*r,c=s<l-1?e[s+1]*r:t.length;o-=Math.abs(M(t,u,c,r))}var f=0;for(s=0;s<n.length;s+=3){var h=n[s]*r,p=n[s+1]*r,d=n[s+2]*r;f+=Math.abs((t[h]-t[d])*(t[p+1]-t[h+1])-(t[h]-t[p])*(t[d+1]-t[h+1]))}return 0===o&&0===f?0:Math.abs((f-o)/o)},e.flatten=function(t){for(var e=t[0][0].length,r={vertices:[],holes:[],dimensions:e},n=0,i=0;i<t.length;i++){for(var a=0;a<t[i].length;a++)for(var o=0;o<e;o++)r.vertices.push(t[i][a][o]);i>0&&(n+=t[i-1].length,r.holes.push(n))}return r}},38793:function(t,e,r){"use strict";var n=r(93441),i=r(15181),a=r(26446),o=r(44236).extractOpts;t.exports=function(t,e,r,s,l){l||(l={});var u,c,f,h,p=l.isContour,d=t.cd[0],v=d.trace,g=t.xa,y=t.ya,m=d.x,x=d.y,b=d.z,_=d.xCenter,w=d.yCenter,T=d.zmask,A=v.zhoverformat,k=m,M=x;if(!1!==t.index){try{f=Math.round(t.index[1]),h=Math.round(t.index[0])}catch(e){return void i.error("Error hovering on heatmap, pointNumber must be [row,col], found:",t.index)}if(f<0||f>=b[0].length||h<0||h>b.length)return}else{if(n.inbox(e-m[0],e-m[m.length-1],0)>0||n.inbox(r-x[0],r-x[x.length-1],0)>0)return;if(p){var S;for(k=[2*m[0]-m[1]],S=1;S<m.length;S++)k.push((m[S]+m[S-1])/2);for(k.push([2*m[m.length-1]-m[m.length-2]]),M=[2*x[0]-x[1]],S=1;S<x.length;S++)M.push((x[S]+x[S-1])/2);M.push([2*x[x.length-1]-x[x.length-2]])}f=Math.max(0,Math.min(k.length-2,i.findBin(e,k))),h=Math.max(0,Math.min(M.length-2,i.findBin(r,M)))}var E,L,C=g.c2p(m[f]),P=g.c2p(m[f+1]),O=y.c2p(x[h]),I=y.c2p(x[h+1]);p?(E=d.orig_x||m,L=d.orig_y||x,P=C,u=E[f],I=O,c=L[h]):(E=d.orig_x||_||m,L=d.orig_y||w||x,u=_?E[f]:(E[f]+E[f+1])/2,c=w?L[h]:(L[h]+L[h+1])/2,g&&"category"===g.type&&(u=m[f]),y&&"category"===y.type&&(c=x[h]),v.zsmooth&&(C=P=g.c2p(u),O=I=y.c2p(c)));var D=b[h][f];if(T&&!T[h][f]&&(D=void 0),void 0!==D||v.hoverongaps){var z;Array.isArray(d.hovertext)&&Array.isArray(d.hovertext[h])?z=d.hovertext[h][f]:Array.isArray(d.text)&&Array.isArray(d.text[h])&&(z=d.text[h][f]);var R=o(v),F={type:"linear",range:[R.min,R.max],hoverformat:A,_separators:g._separators,_numFormat:g._numFormat},B=a.tickText(F,D,"hover").text;return[i.extendFlat(t,{index:v._after2before?v._after2before[h][f]:[h,f],distance:t.maxHoverDistance,spikeDistance:t.maxSpikeDistance,x0:C,x1:P,y0:O,y1:I,xLabelVal:u,yLabelVal:c,zLabelVal:D,zLabel:B,text:z})]}}},39028:function(t,e,r){"use strict";var n=r(24761);t.exports={bgcolor:{valType:"color",dflt:n.background,editType:"plot"},bordercolor:{valType:"color",dflt:n.defaultLine,editType:"plot"},borderwidth:{valType:"integer",dflt:0,min:0,editType:"plot"},autorange:{valType:"boolean",dflt:!0,editType:"calc",impliedEdits:{"range[0]":void 0,"range[1]":void 0}},range:{valType:"info_array",items:[{valType:"any",editType:"calc",impliedEdits:{"^autorange":!1}},{valType:"any",editType:"calc",impliedEdits:{"^autorange":!1}}],editType:"calc",impliedEdits:{autorange:!1}},thickness:{valType:"number",dflt:.15,min:0,max:1,editType:"plot"},visible:{valType:"boolean",dflt:!0,editType:"calc"},editType:"calc"}},39420:function(t,e,r){"use strict";var n,i,a=r(46982),o=r(26446),s=r(93441),l=r(93950).gl_plot2d,u=r(93950).gl_spikes2d,c=r(93950).gl_select_box,f=r(8034),h=r(13353),p=r(51051),d=r(25420),v=r(3115),g=v.enforce,y=v.clean,m=r(40243).doAutoRange,x=r(7514),b=x.drawMode,_=x.selectMode,w=["xaxis","yaxis"],T=r(29278).SUBPLOT_PATTERN;function A(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context._scrollZoom.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=h(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=u(this.glplot),this.selectBox=c(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}t.exports=A;var k=A.prototype;k.makeFramework=function(){if(this.staticPlot){if(!(i||(n=document.createElement("canvas"),i=f({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error("Error creating static canvas/context for image server");this.canvas=n,this.gl=i}else{var t=this.container.querySelector(".gl-canvas-focus"),e=f({canvas:t,preserveDrawingBuffer:!0,premultipliedAlpha:!0});if(!e)return d(this),void(this.stopped=!0);this.canvas=t,this.gl=e}var r=this.canvas;r.style.width="100%",r.style.height="100%",r.style.position="absolute",r.style.top="0px",r.style.left="0px",r.style["pointer-events"]="none",this.updateSize(r);var a=this.svgContainer=document.createElementNS("http://www.w3.org/2000/svg","svg");a.style.position="absolute",a.style.top=a.style.left="0px",a.style.width=a.style.height="100%",a.style["z-index"]=20,a.style["pointer-events"]="none";var o=this.mouseContainer=document.createElement("div");o.style.position="absolute",o.style["pointer-events"]="auto",this.pickCanvas=this.container.querySelector(".gl-canvas-pick");var s=this.container;s.appendChild(a),s.appendChild(o);var l=this;o.addEventListener("mouseout",function(){l.isMouseOver=!1,l.unhover()}),o.addEventListener("mouseover",function(){l.isMouseOver=!0})},k.toImage=function(t){t||(t="png"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a);for(var o=0,s=i-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var u=0;u<4;++u){var c=a[4*(r*o+l)+u];a[4*(r*o+l)+u]=a[4*(r*s+l)+u],a[4*(r*s+l)+u]=c}var f=document.createElement("canvas");f.width=r,f.height=i;var h,p=f.getContext("2d",{willReadFrequently:!0}),d=p.createImageData(r,i);switch(d.data.set(a),p.putImageData(d,0,0),t){case"jpeg":h=f.toDataURL("image/jpeg");break;case"webp":h=f.toDataURL("image/webp");break;default:h=f.toDataURL("image/png")}return this.staticPlot&&this.container.removeChild(n),h},k.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,i=r.height,a=0|Math.ceil(e*n),o=0|Math.ceil(e*i);return t.width===a&&t.height===o||(t.width=a,t.height=o),t},k.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+"";return t},k.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(T),r="xaxis"+e[1],n="yaxis"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},k.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,i={},o=i[e._name+".range"]=e.range.slice(),s=i[r._name+".range"]=r.range.slice();i[e._name+".autorange"]=e.autorange,i[r._name+".autorange"]=r.autorange,a.call("_storeDirectGUIEdit",t.layout,t._fullLayout._preGUI,i);var l=n[e._name];l.range=o,l.autorange=e.autorange;var u=n[r._name];u.range=s,u.autorange=r.autorange,i.lastInputTime=this.camera.lastInputTime,t.emit("plotly_relayout",i)},k.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;a<n.length;++a)if(n[a].x!==i[a].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},k.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&a.getComponentMethod("annotations","drawOne")(t,r)}},k.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map(function(e){t[e].dispose(),delete t[e]}),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener("wheel",this.camera.wheelListener),this.camera=null}},k.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var i=r.width,a=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,i,a];var s={_fullLayout:{_axisConstraintGroups:r._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis,_size:r._size}};y(s,this.xaxis),y(s,this.yaxis);var l,u,c=r._size,f=this.xaxis.domain,h=this.yaxis.domain;for(o.viewBox=[c.l+f[0]*c.w,c.b+h[0]*c.h,i-c.r-(1-f[1])*c.w,a-c.t-(1-h[1])*c.h],this.mouseContainer.style.width=c.w*(f[1]-f[0])+"px",this.mouseContainer.style.height=c.h*(h[1]-h[0])+"px",this.mouseContainer.height=c.h*(h[1]-h[0]),this.mouseContainer.style.left=c.l+f[0]*c.w+"px",this.mouseContainer.style.top=c.t+(1-h[1])*c.h+"px",u=0;u<2;++u)(l=this[w[u]])._length=o.viewBox[u+2]-o.viewBox[u],m(this.graphDiv,l),l.setScale();g(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},k.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,i=t.r2l,a=e.r2l;return[i(r[0]),a(n[0]),i(r[1]),a(n[1])]},k.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,i=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[i(t[1]),i(t[3])]},k.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if((i=t[n]).uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){i=t[r];var l=e[r],u=this.traces[i.uid];u?u.update(i,l):(u=i._module.plot(this,i,l),this.traces[i.uid]=u)}this.glplot.objects.sort(function(t,e){return t._trace.index-e._trace.index})},k.updateFx=function(t){_(t)||b(t)?(this.pickCanvas.style["pointer-events"]="none",this.mouseContainer.style["pointer-events"]="none"):(this.pickCanvas.style["pointer-events"]="auto",this.mouseContainer.style["pointer-events"]="auto"),this.mouseContainer.style.cursor="pan"===t?"move":"zoom"===t?"crosshair":null},k.emitPointAction=function(t,e){for(var r,n=t.trace.uid,i=t.pointIndex,a=0;a<this.fullData.length;a++)this.fullData[a].uid===n&&(r=this.fullData[a]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:i,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,i),this.graphDiv.emit(e,{points:[o]})},k.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,i=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var a,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&"zoom"===i.dragmode){this.selectBox.enabled=!0;for(var u=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],c=0;c<2;c++)e.boxStart[c]===e.boxEnd[c]&&(u[c]=t.dataBox[c],u[c+2]=t.dataBox[c+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var f=i._size,h=this.xaxis.domain,p=this.yaxis.domain,d=(a=t.pick(o/t.pixelRatio+f.l+h[0]*f.w,l/t.pixelRatio-(f.t+(1-p[1])*f.h)))&&a.object._trace.handlePick(a);if(d&&n&&this.emitPointAction(d,"plotly_click"),a&&"skip"!==a.object._trace.hoverinfo&&i.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var v=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),v.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,"plotly_hover");var g=this.fullData[v.trace.index]||{},y=v.pointIndex,m=s.castHoverinfo(g,i,y);if(m&&"all"!==m){var x=m.split("+");-1===x.indexOf("x")&&(v.traceCoord[0]=void 0),-1===x.indexOf("y")&&(v.traceCoord[1]=void 0),-1===x.indexOf("z")&&(v.traceCoord[2]=void 0),-1===x.indexOf("text")&&(v.textLabel=void 0),-1===x.indexOf("name")&&(v.name=void 0)}s.loneHover({x:v.screenCoord[0],y:v.screenCoord[1],xLabel:this.hoverFormatter("xaxis",v.traceCoord[0]),yLabel:this.hoverFormatter("yaxis",v.traceCoord[1]),zLabel:v.traceCoord[2],text:v.textLabel,name:v.name,color:s.castHoverOption(g,y,"bgcolor")||v.color,borderColor:s.castHoverOption(g,y,"bordercolor"),fontFamily:s.castHoverOption(g,y,"font.family"),fontSize:s.castHoverOption(g,y,"font.size"),fontColor:s.castHoverOption(g,y,"font.color"),nameLength:s.castHoverOption(g,y,"namelength"),textAlign:s.castHoverOption(g,y,"align")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},k.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit("plotly_unhover"),s.loneUnhover(this.svgContainer))},k.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),"hover").text}}},39442:function(t,e,r){"use strict";var n=r(619);function i(t,e,r,n){var i=r.radialAxis,a=r.angularAxis;i._hovertitle="real",a._hovertitle="imag";var o={};o[e.subplot]={_subplot:r};var s=e._module.formatLabels(t,e,o);n.realLabel=s.realLabel,n.imagLabel=s.imagLabel;var l=t.hi||e.hoverinfo,u=[];function c(t,e){u.push(t._hovertitle+": "+e)}if(!e.hovertemplate){var f=l.split("+");-1!==f.indexOf("all")&&(f=["real","imag","text"]),-1!==f.indexOf("real")&&c(i,n.realLabel),-1!==f.indexOf("imag")&&c(a,n.imagLabel),-1!==f.indexOf("text")&&n.text&&(u.push(n.text),delete n.text),n.extraText=u.join("<br>")}}t.exports={hoverPoints:function(t,e,r,a){var o=n(t,e,r,a);if(o&&!1!==o[0].index){var s=o[0];if(void 0===s.index)return o;var l=t.subplot,u=s.cd[s.index],c=s.trace;if(l.isPtInside(u))return s.xLabelVal=void 0,s.yLabelVal=void 0,i(u,c,l,s),s.hovertemplate=c.hovertemplate,o}},makeHoverPointText:i}},39452:function(t,e,r){var n=r(9915),i=r(18610);function a(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}a.prototype=new n.baseCalendar;var o=n.instance("gregorian");i(a.prototype,{name:"Nanakshahi",jdEpoch:2257673.5,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{"":{name:"Nanakshahi",epochs:["BN","AN"],monthNames:["Chet","Vaisakh","Jeth","Harh","Sawan","Bhadon","Assu","Katak","Maghar","Poh","Magh","Phagun"],monthNamesShort:["Che","Vai","Jet","Har","Saw","Bha","Ass","Kat","Mgr","Poh","Mgh","Pha"],dayNames:["Somvaar","Mangalvar","Budhvaar","Veervaar","Shukarvaar","Sanicharvaar","Etvaar"],dayNamesShort:["Som","Mangal","Budh","Veer","Shukar","Sanichar","Et"],dayNamesMin:["So","Ma","Bu","Ve","Sh","Sa","Et"],digits:null,dateFormat:"dd-mm-yyyy",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[""].invalidYear);return o.leapYear(e.year()+(e.year()<1?1:0)+1469)},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(1-(n.dayOfWeek()||7),"d"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidMonth);(t=i.year())<0&&t++;for(var a=i.day(),s=1;s<i.month();s++)a+=this.daysPerMonth[s-1];return a+o.toJD(t+1468,3,13)},fromJD:function(t){t=Math.floor(t+.5);for(var e=Math.floor((t-(this.jdEpoch-1))/366);t>=this.toJD(e+1,1,1);)e++;for(var r=t-Math.floor(this.toJD(e,1,1)+.5)+1,n=1;r>this.daysInMonth(e,n);)r-=this.daysInMonth(e,n),n++;return this.newDate(e,n,r)}}),n.calendars.nanakshahi=a},39555:function(t,e,r){var n=r(49149);t.exports=function(t,e,r){if(!t)throw new TypeError("must specify data as first parameter");if(r=0|+(r||0),Array.isArray(t)&&t[0]&&"number"==typeof t[0][0]){var i,a,o,s,l=t[0].length,u=t.length*l;e&&"string"!=typeof e||(e=new(n(e||"float32"))(u+r));var c=e.length-r;if(u!==c)throw new Error("source length "+u+" ("+l+"x"+t.length+") does not match destination length "+c);for(i=0,o=r;i<t.length;i++)for(a=0;a<l;a++)e[o++]=null===t[i][a]?NaN:t[i][a]}else if(e&&"string"!=typeof e)e.set(t,r);else{var f=n(e||"float32");if(Array.isArray(t)||"array"===e)for(i=0,o=r,s=(e=new f(t.length+r)).length;o<s;o++,i++)e[o]=null===t[i]?NaN:t[i];else 0===r?e=new f(t):(e=new f(t.length+r)).set(t,r)}return e}},39591:function(t,e,r){"use strict";var n,i,a=r(93950).gl_plot3d,o=a.createCamera,s=a.createScene,l=r(8034),u=r(21757),c=r(46982),f=r(15181),h=f.preserveDrawingBuffer(),p=r(26446),d=r(93441),v=r(98054),g=r(25420),y=r(77494),m=r(31489),x=r(36875),b=r(39616),_=!1;function w(t,e){var r=document.createElement("div"),n=t.container;this.graphDiv=t.graphDiv;var i=document.createElementNS("http://www.w3.org/2000/svg","svg");i.style.position="absolute",i.style.top=i.style.left="0px",i.style.width=i.style.height="100%",i.style["z-index"]=20,i.style["pointer-events"]="none",r.appendChild(i),this.svgContainer=i,r.id=t.id,r.style.position="absolute",r.style.top=r.style.left="0px",r.style.width=r.style.height="100%",n.appendChild(r),this.fullLayout=e,this.id=t.id||"scene",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=m(e,e[this.id]),this.spikeOptions=x(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=c.getComponentMethod("annotations3d","convert"),this.drawAnnotations=c.getComponentMethod("annotations3d","draw"),this.initializeGLPlot()}var T=w.prototype;T.prepareOptions=function(){var t=this,e={canvas:t.canvas,gl:t.gl,glOptions:{preserveDrawingBuffer:h,premultipliedAlpha:!0,antialias:!0},container:t.container,axes:t.axesOptions,spikes:t.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:t.camera,pixelRatio:t.pixelRatio};if(t.staticMode){if(!(i||(n=document.createElement("canvas"),i=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error("error creating static canvas/context for image server");e.gl=i,e.canvas=n}return e};var A=!0;T.tryCreatePlot=function(){var t=this,e=t.prepareOptions(),r=!0;try{t.glplot=s(e)}catch(n){if(t.staticMode||!A||h)r=!1;else{f.warn(["webgl setup failed possibly due to","false preserveDrawingBuffer config.","The mobile/tablet device may not be detected by is-mobile module.","Enabling preserveDrawingBuffer in second attempt to create webgl scene..."].join(" "));try{h=e.glOptions.preserveDrawingBuffer=!0,t.glplot=s(e)}catch(t){h=e.glOptions.preserveDrawingBuffer=!1,r=!1}}}return A=!1,r},T.initializeGLCamera=function(){var t=this,e=t.fullSceneLayout.camera,r="orthographic"===e.projection.type;t.camera=o(t.container,{center:[e.center.x,e.center.y,e.center.z],eye:[e.eye.x,e.eye.y,e.eye.z],up:[e.up.x,e.up.y,e.up.z],_ortho:r,zoomMin:.01,zoomMax:100,mode:"orbit"})},T.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return g(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+".camera"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+".aspectratio"]=t.glplot.getAspectratio(),"manual"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+".aspectmode"]="manual")),e},i=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit("plotly_relayout",e)}};return t.glplot.canvas&&(t.glplot.canvas.addEventListener("mouseup",function(){i(t)}),t.glplot.canvas.addEventListener("touchstart",function(){_=!0}),t.glplot.canvas.addEventListener("wheel",function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}},!!u&&{passive:!1}),t.glplot.canvas.addEventListener("mousemove",function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit("plotly_relayouting",e)}}),t.staticMode||t.glplot.canvas.addEventListener("webglcontextlost",function(r){e&&e.emit&&e.emit("plotly_webglcontextlost",{event:r,layer:t.id})},!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},T.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,i=e.container.getBoundingClientRect();r._fullLayout._calcInverseTransform(r);var a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,"viewBox","0 0 "+s+" "+l),n.setAttributeNS(null,"width",s),n.setAttributeNS(null,"height",l),b(e),e.glplot.axes.update(e.axesOptions);for(var u=Object.keys(e.traces),c=null,h=e.glplot.selection,v=0;v<u.length;++v)"skip"!==(t=e.traces[u[v]]).data.hoverinfo&&t.handlePick(h)&&(c=t),t.setContourLevels&&t.setContourLevels();function g(t,r,n){var i=e.fullSceneLayout[t+"axis"];return"log"!==i.type&&(r=i.d2l(r)),p.hoverLabelText(i,r,n)}if(null!==c){var m=y(e.glplot.cameraParams,h.dataCoordinate);t=c.data;var x,w=r._fullData[t.index],T=h.index,A={xLabel:g("x",h.traceCoordinate[0],t.xhoverformat),yLabel:g("y",h.traceCoordinate[1],t.yhoverformat),zLabel:g("z",h.traceCoordinate[2],t.zhoverformat)},k=d.castHoverinfo(w,e.fullLayout,T),M=(k||"").split("+"),S=k&&"all"===k;w.hovertemplate||S||(-1===M.indexOf("x")&&(A.xLabel=void 0),-1===M.indexOf("y")&&(A.yLabel=void 0),-1===M.indexOf("z")&&(A.zLabel=void 0),-1===M.indexOf("text")&&(h.textLabel=void 0),-1===M.indexOf("name")&&(c.name=void 0));var E=[];"cone"===t.type||"streamtube"===t.type?(A.uLabel=g("x",h.traceCoordinate[3],t.uhoverformat),(S||-1!==M.indexOf("u"))&&E.push("u: "+A.uLabel),A.vLabel=g("y",h.traceCoordinate[4],t.vhoverformat),(S||-1!==M.indexOf("v"))&&E.push("v: "+A.vLabel),A.wLabel=g("z",h.traceCoordinate[5],t.whoverformat),(S||-1!==M.indexOf("w"))&&E.push("w: "+A.wLabel),A.normLabel=h.traceCoordinate[6].toPrecision(3),(S||-1!==M.indexOf("norm"))&&E.push("norm: "+A.normLabel),"streamtube"===t.type&&(A.divergenceLabel=h.traceCoordinate[7].toPrecision(3),(S||-1!==M.indexOf("divergence"))&&E.push("divergence: "+A.divergenceLabel)),h.textLabel&&E.push(h.textLabel),x=E.join("<br>")):"isosurface"===t.type||"volume"===t.type?(A.valueLabel=p.hoverLabelText(e._mockAxis,e._mockAxis.d2l(h.traceCoordinate[3]),t.valuehoverformat),E.push("value: "+A.valueLabel),h.textLabel&&E.push(h.textLabel),x=E.join("<br>")):x=h.textLabel;var L={x:h.traceCoordinate[0],y:h.traceCoordinate[1],z:h.traceCoordinate[2],data:w._input,fullData:w,curveNumber:w.index,pointNumber:T};d.appendArrayPointValue(L,w,T),t._module.eventData&&(L=w._module.eventData(L,h,w,{},T));var C={points:[L]};if(e.fullSceneLayout.hovermode){var P=[];d.loneHover({trace:w,x:(.5+.5*m[0]/m[3])*s,y:(.5-.5*m[1]/m[3])*l,xLabel:A.xLabel,yLabel:A.yLabel,zLabel:A.zLabel,text:x,name:c.name,color:d.castHoverOption(w,T,"bgcolor")||c.color,borderColor:d.castHoverOption(w,T,"bordercolor"),fontFamily:d.castHoverOption(w,T,"font.family"),fontSize:d.castHoverOption(w,T,"font.size"),fontColor:d.castHoverOption(w,T,"font.color"),nameLength:d.castHoverOption(w,T,"namelength"),textAlign:d.castHoverOption(w,T,"align"),hovertemplate:f.castOption(w,T,"hovertemplate"),hovertemplateLabels:f.extendFlat({},L,A),eventData:[L]},{container:n,gd:r,inOut_bbox:P}),L.bbox=P[0]}h.distance<5&&(h.buttons||_)?r.emit("plotly_click",C):r.emit("plotly_hover",C),this.oldEventData=C}else d.loneUnhover(n),this.oldEventData&&r.emit("plotly_unhover",this.oldEventData),this.oldEventData=void 0;e.drawAnnotations(e)},T.recoverContext=function(){var t=this;t.glplot.dispose();var e=function(){t.glplot.gl.isContextLost()?requestAnimationFrame(e):t.initializeGLPlot()?t.plot.apply(t,t.plotArgs):f.error("Catastrophic and unrecoverable WebGL error. Context lost.")};requestAnimationFrame(e)};var k=["xaxis","yaxis","zaxis"];function M(t,e,r){for(var n=t.fullSceneLayout,i=0;i<3;i++){var a=k[i],o=a.charAt(0),s=n[a],l=e[o],u=e[o+"calendar"],c=e["_"+o+"length"];if(f.isArrayOrTypedArray(l))for(var h,p=0;p<(c||l.length);p++)if(f.isArrayOrTypedArray(l[p]))for(var d=0;d<l[p].length;++d)h=s.d2l(l[p][d],0,u),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else h=s.d2l(l[p],0,u),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else r[0][i]=Math.min(r[0][i],0),r[1][i]=Math.max(r[1][i],c-1)}}T.plot=function(t,e,r){var n=this;if(n.plotArgs=[t,e,r],!n.glplot.contextLost){var i,a,o,s,l,u,c=e[n.id],f=r[n.id];n.fullLayout=e,n.fullSceneLayout=c,n.axesOptions.merge(e,c),n.spikeOptions.merge(c),n.setViewport(c),n.updateFx(c.dragmode,c.hovermode),n.camera.enableWheel=n.graphDiv._context._scrollZoom.gl3d,n.glplot.setClearColor(v(c.bgcolor)),n.setConvert(l),t?Array.isArray(t)||(t=[t]):t=[];var h=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(o=0;o<t.length;++o)!0===(i=t[o]).visible&&0!==i._length&&M(this,i,h);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],i=0;i<3;i++)for(var a=k[i],o=a.charAt(0),s=r[a],l=0;l<n.length;l++){var u=n[l];if(u.visible){var c=s.r2l(u[o]);!isNaN(c)&&isFinite(c)&&(e[0][i]=Math.min(e[0][i],c),e[1][i]=Math.max(e[1][i],c))}}}(this,h);var p=[1,1,1];for(s=0;s<3;++s)h[1][s]===h[0][s]?p[s]=1:p[s]=1/(h[1][s]-h[0][s]);for(n.dataScale=p,n.convertAnnotations(this),o=0;o<t.length;++o)!0===(i=t[o]).visible&&0!==i._length&&((a=n.traces[i.uid])?a.data.type===i.type?a.update(i):(a.dispose(),a=i._module.plot(this,i),n.traces[i.uid]=a):(a=i._module.plot(this,i),n.traces[i.uid]=a),a.name=i.name);var d=Object.keys(n.traces);t:for(o=0;o<d.length;++o){for(s=0;s<t.length;++s)if(t[s].uid===d[o]&&!0===t[s].visible&&0!==t[s]._length)continue t;(a=n.traces[d[o]]).dispose(),delete n.traces[d[o]]}n.glplot.objects.sort(function(t,e){return t._trace.data.index-e._trace.data.index});var g,y=[[0,0,0],[0,0,0]],m=[],x={};for(o=0;o<3;++o){if((u=(l=c[k[o]]).type)in x?(x[u].acc*=p[o],x[u].count+=1):x[u]={acc:p[o],count:1},l.autorange){y[0][o]=1/0,y[1][o]=-1/0;var b=n.glplot.objects,_=n.fullSceneLayout.annotations||[],w=l._name.charAt(0);for(s=0;s<b.length;s++){var T=b[s],A=T.bounds,S=T._trace.data._pad||0;"ErrorBars"===T.constructor.name&&l._lowerLogErrorBound?y[0][o]=Math.min(y[0][o],l._lowerLogErrorBound):y[0][o]=Math.min(y[0][o],A[0][o]/p[o]-S),y[1][o]=Math.max(y[1][o],A[1][o]/p[o]+S)}for(s=0;s<_.length;s++){var E=_[s];if(E.visible){var L=l.r2l(E[w]);y[0][o]=Math.min(y[0][o],L),y[1][o]=Math.max(y[1][o],L)}}if("rangemode"in l&&"tozero"===l.rangemode&&(y[0][o]=Math.min(y[0][o],0),y[1][o]=Math.max(y[1][o],0)),y[0][o]>y[1][o])y[0][o]=-1,y[1][o]=1;else{var C=y[1][o]-y[0][o];y[0][o]-=C/32,y[1][o]+=C/32}if("reversed"===l.autorange){var P=y[0][o];y[0][o]=y[1][o],y[1][o]=P}}else{var O=l.range;y[0][o]=l.r2l(O[0]),y[1][o]=l.r2l(O[1])}y[0][o]===y[1][o]&&(y[0][o]-=1,y[1][o]+=1),m[o]=y[1][o]-y[0][o],n.glplot.setBounds(o,{min:y[0][o]*p[o],max:y[1][o]*p[o]})}var I=c.aspectmode;if("cube"===I)g=[1,1,1];else if("manual"===I){var D=c.aspectratio;g=[D.x,D.y,D.z]}else{if("auto"!==I&&"data"!==I)throw new Error("scene.js aspectRatio was not one of the enumerated 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t=this;t.glplot&&(t.camera.mouseListener.enabled=!1,t.container.removeEventListener("wheel",t.camera.wheelListener),t.camera=null,t.glplot.dispose(),t.container.parentNode.removeChild(t.container),t.glplot=null)},T.getCamera=function(){var t,e=this;return e.camera.view.recalcMatrix(e.camera.view.lastT()),{up:{x:(t=e.camera).up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]},projection:{type:!0===t._ortho?"orthographic":"perspective"}}},T.setViewport=function(t){var e,r=this,n=t.camera;r.camera.lookAt.apply(this,[[(e=n).eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]),r.glplot.setAspectratio(t.aspectratio),"orthographic"===n.projection.type!==r.camera._ortho&&(r.glplot.redraw(),r.glplot.clearRGBA(),r.glplot.dispose(),r.initializeGLPlot())},T.isCameraChanged=function(t){var e=this.getCamera(),r=f.nestedProperty(t,this.id+".camera").get();function n(t,e,r,n){var 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this.color=l(t.color,"uint8");if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity)if(this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2){var J=Math.max(.5*this.position.length||0,.25*this.color.length||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,.5*this.positionOffset.length||0);this.batch=Array(J);for(var K=0;K<this.batch.length;K++)this.batch[K]={count:this.counts.length>1?this.counts[K]:this.counts[0],offset:this.textOffsets.length>1?this.textOffsets[K]:this.textOffsets[0],color:this.color?this.color.length<=4?this.color:this.color.subarray(4*K,4*K+4):[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[K]:this.opacity,baseline:null!=this.baselineOffset[K]?this.baselineOffset[K]:this.baselineOffset[0],align:this.align?null!=this.alignOffset[K]?this.alignOffset[K]:this.alignOffset[0]:0,atlas:this.fontAtlas[K]||this.fontAtlas[0],positionOffset:this.positionOffset.length>2?this.positionOffset.subarray(2*K,2*K+2):this.positionOffset}}else this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[]},T.prototype.destroy=function(){},T.prototype.kerning=!0,T.prototype.position={constant:new Float32Array(2)},T.prototype.translate=null,T.prototype.scale=null,T.prototype.font=null,T.prototype.text="",T.prototype.positionOffset=[0,0],T.prototype.opacity=1,T.prototype.color=new Uint8Array([0,0,0,255]),T.prototype.alignOffset=[0,0],T.maxAtlasSize=1024,T.atlasCanvas=document.createElement("canvas"),T.atlasContext=T.atlasCanvas.getContext("2d",{alpha:!1}),T.baseFontSize=64,T.fonts={},t.exports=T},41499:function(t,e,r){"use strict";var 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t.y}).attr("cursor",function(t){return"fixed"===t.parcatsViewModel.arrangement?"default":"perpendicular"===t.parcatsViewModel.arrangement?"ns-resize":"move"}),A(D),E.exit().remove(),S.append("text").attr("class","catlabel").attr("pointer-events","none");var z=e._fullLayout.paper_bgcolor;M.select("text.catlabel").attr("text-anchor",function(t){return d(t)?"start":"end"}).attr("alignment-baseline","middle").style("text-shadow",f.makeTextShadow(z)).style("fill","rgb(0, 0, 0)").attr("x",function(t){return d(t)?t.width+5:-5}).attr("y",function(t){return t.height/2}).text(function(t){return t.model.categoryLabel}).each(function(t){u.font(n.select(this),t.parcatsViewModel.categorylabelfont),f.convertToTspans(n.select(this),e)}),S.append("text").attr("class","dimlabel"),M.select("text.dimlabel").attr("text-anchor","middle").attr("alignment-baseline","baseline").attr("cursor",function(t){return"fixed"===t.parcatsViewModel.arrangement?"default":"ew-resize"}).attr("x",function(t){return t.width/2}).attr("y",-5).text(function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null}).each(function(t){u.font(n.select(this),t.parcatsViewModel.labelfont)}),M.selectAll("rect.bandrect").on("mouseover",L).on("mouseout",C),M.exit().remove(),k.call(n.behavior.drag().origin(function(t){return{x:t.x,y:0}}).on("dragstart",P).on("drag",O).on("dragend",I)),h.each(function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll("g.paths").selectAll("path.path"),t.dimensionSelection=n.select(this).selectAll("g.dimensions").selectAll("g.dimension")}),h.exit().remove()}function p(t){return t.key}function d(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function v(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function g(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip")){s.raiseToTop(this),w(n.select(this));var e=m(t),r=x(t);if(t.parcatsViewModel.graphDiv.emit("plotly_hover",{points:e,event:n.event,constraints:r}),-1===t.parcatsViewModel.hoverinfoItems.indexOf("none")){var i,a,l,u=n.mouse(this)[0],f=t.parcatsViewModel.graphDiv,h=t.parcatsViewModel.trace,p=f._fullLayout,d=p._paperdiv.node().getBoundingClientRect(),v=t.parcatsViewModel.graphDiv.getBoundingClientRect();for(l=0;l<t.leftXs.length-1;l++)if(t.leftXs[l]+t.dimWidths[l]-2<=u&&u<=t.leftXs[l+1]+2){var g=t.parcatsViewModel.dimensions[l],y=t.parcatsViewModel.dimensions[l+1];i=(g.x+g.width+y.x)/2,a=(t.topYs[l]+t.topYs[l+1]+t.height)/2;break}var b=t.parcatsViewModel.x+i,_=t.parcatsViewModel.y+a,T=c.mostReadable(t.model.color,["black","white"]),A=t.model.count,k=A/t.parcatsViewModel.model.count,M={countLabel:A,probabilityLabel:k.toFixed(3)},S=[];-1!==t.parcatsViewModel.hoverinfoItems.indexOf("count")&&S.push(["Count:",M.countLabel].join(" ")),-1!==t.parcatsViewModel.hoverinfoItems.indexOf("probability")&&S.push(["P:",M.probabilityLabel].join(" "));var E=S.join("<br>"),L=n.mouse(f)[0];o.loneHover({trace:h,x:b-d.left+v.left,y:_-d.top+v.top,text:E,color:t.model.color,borderColor:"black",fontFamily:'Monaco, "Courier New", monospace',fontSize:10,fontColor:T,idealAlign:L<b?"right":"left",hovertemplate:(h.line||{}).hovertemplate,hovertemplateLabels:M,eventData:[{data:h._input,fullData:h,count:A,probability:k}]},{container:p._hoverlayer.node(),outerContainer:p._paper.node(),gd:f})}}}function y(t){if(!t.parcatsViewModel.dragDimension&&(_(n.select(this)),o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(v),-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip"))){var e=m(t),r=x(t);t.parcatsViewModel.graphDiv.emit("plotly_unhover",{points:e,event:n.event,constraints:r})}}function m(t){for(var e=[],r=D(t.parcatsViewModel),n=0;n<t.model.valueInds.length;n++){var i=t.model.valueInds[n];e.push({curveNumber:r,pointNumber:i})}return e}function x(t){for(var e={},r=t.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var i=r[n],a=i.categories[t.model.categoryInds[n]];e[i.containerInd]=a.categoryValue}return void 0!==t.model.rawColor&&(e.color=t.model.rawColor),e}function b(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip")){var e=m(t),r=x(t);t.parcatsViewModel.graphDiv.emit("plotly_click",{points:e,event:n.event,constraints:r})}}function _(t){t.attr("fill",function(t){return t.model.color}).attr("fill-opacity",.6).attr("stroke","lightgray").attr("stroke-width",.2).attr("stroke-opacity",1)}function w(t){t.attr("fill-opacity",.8).attr("stroke",function(t){return c.mostReadable(t.model.color,["black","white"])}).attr("stroke-width",.3)}function T(t){t.select("rect.catrect").attr("stroke","black").attr("stroke-width",1).attr("stroke-opacity",1)}function A(t){t.attr("stroke","black").attr("stroke-width",.2).attr("stroke-opacity",1).attr("fill-opacity",1)}function k(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter(function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color})}function M(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=n.select(t.parentNode).selectAll("rect.bandrect"),l=[];s.each(function(t){k(t).each(function(t){Array.prototype.push.apply(l,m(t))})});var u={};u[a.dimensionInd]=a.categoryValue,o.emit(e,{points:l,event:r,constraints:u})}function S(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=k(i),l=[];s.each(function(t){Array.prototype.push.apply(l,m(t))});var u={};u[a.dimensionInd]=a.categoryValue,void 0!==i.rawColor&&(u.color=i.rawColor),o.emit(e,{points:l,event:r,constraints:u})}function E(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=n.select(r.parentNode).select("rect.catrect"),u=l.node().getBoundingClientRect(),c=l.datum(),f=c.parcatsViewModel,h=f.model.dimensions[c.model.dimensionInd],p=f.trace,d=u.top+u.height/2;f.dimensions.length>1&&h.displayInd===f.dimensions.length-1?(i=u.left,a="left"):(i=u.left+u.width,a="right");var v=c.model.count,g=c.model.categoryLabel,y=v/c.parcatsViewModel.model.count,m={countLabel:v,categoryLabel:g,probabilityLabel:y.toFixed(3)},x=[];-1!==c.parcatsViewModel.hoverinfoItems.indexOf("count")&&x.push(["Count:",m.countLabel].join(" ")),-1!==c.parcatsViewModel.hoverinfoItems.indexOf("probability")&&x.push(["P("+m.categoryLabel+"):",m.probabilityLabel].join(" "));var b=x.join("<br>");return{trace:p,x:o*(i-e.left),y:s*(d-e.top),text:b,color:"lightgray",borderColor:"black",fontFamily:'Monaco, "Courier New", monospace',fontSize:12,fontColor:"black",idealAlign:a,hovertemplate:p.hovertemplate,hovertemplateLabels:m,eventData:[{data:p._input,fullData:p,count:v,category:g,probability:y}]}}function L(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip")){if(n.mouse(this)[1]<-1)return;var e,r=t.parcatsViewModel.graphDiv,i=r._fullLayout,a=i._paperdiv.node().getBoundingClientRect(),l=t.parcatsViewModel.hoveron,u=this;"color"===l?(function(t){var e=n.select(t).datum(),r=k(e);w(r),r.each(function(){s.raiseToTop(this)}),n.select(t.parentNode).selectAll("rect.bandrect").filter(function(t){return t.color===e.color}).each(function(){s.raiseToTop(this),n.select(this).attr("stroke","black").attr("stroke-width",1.5)})}(u),S(u,"plotly_hover",n.event)):(function(t){n.select(t.parentNode).selectAll("rect.bandrect").each(function(t){var e=k(t);w(e),e.each(function(){s.raiseToTop(this)})}),n.select(t.parentNode).select("rect.catrect").attr("stroke","black").attr("stroke-width",2.5)}(u),M(u,"plotly_hover",n.event)),-1===t.parcatsViewModel.hoverinfoItems.indexOf("none")&&("category"===l?e=E(r,a,u):"color"===l?e=function(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=r.getBoundingClientRect(),u=n.select(r).datum(),f=u.categoryViewModel,h=f.parcatsViewModel,p=h.model.dimensions[f.model.dimensionInd],d=h.trace,v=l.y+l.height/2;h.dimensions.length>1&&p.displayInd===h.dimensions.length-1?(i=l.left,a="left"):(i=l.left+l.width,a="right");var g=f.model.categoryLabel,y=u.parcatsViewModel.model.count,m=0;u.categoryViewModel.bands.forEach(function(t){t.color===u.color&&(m+=t.count)});var x=f.model.count,b=0;h.pathSelection.each(function(t){t.model.color===u.color&&(b+=t.model.count)});var _=m/y,w=m/b,T=m/x,A={countLabel:y,categoryLabel:g,probabilityLabel:_.toFixed(3)},k=[];-1!==f.parcatsViewModel.hoverinfoItems.indexOf("count")&&k.push(["Count:",A.countLabel].join(" ")),-1!==f.parcatsViewModel.hoverinfoItems.indexOf("probability")&&(k.push("P(color ∩ "+g+"): "+A.probabilityLabel),k.push("P("+g+" | color): "+w.toFixed(3)),k.push("P(color | "+g+"): "+T.toFixed(3)));var M=k.join("<br>"),S=c.mostReadable(u.color,["black","white"]);return{trace:d,x:o*(i-e.left),y:s*(v-e.top),text:M,color:u.color,borderColor:"black",fontFamily:'Monaco, "Courier New", monospace',fontColor:S,fontSize:10,idealAlign:a,hovertemplate:d.hovertemplate,hovertemplateLabels:A,eventData:[{data:d._input,fullData:d,category:g,count:y,probability:_,categorycount:x,colorcount:b,bandcolorcount:m}]}}(r,a,u):"dimension"===l&&(e=function(t,e,r){var i=[];return n.select(r.parentNode.parentNode).selectAll("g.category").select("rect.catrect").each(function(){i.push(E(t,e,this))}),i}(r,a,u)),e&&o.loneHover(e,{container:i._hoverlayer.node(),outerContainer:i._paper.node(),gd:r}))}}function C(t){var e=t.parcatsViewModel;e.dragDimension||(_(e.pathSelection),T(e.dimensionSelection.selectAll("g.category")),A(e.dimensionSelection.selectAll("g.category").selectAll("rect.bandrect")),o.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(v),-1!==e.hoverinfoItems.indexOf("skip"))||("color"===t.parcatsViewModel.hoveron?S(this,"plotly_unhover",n.event):M(this,"plotly_unhover",n.event))}function P(t){"fixed"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map(function(t){return t.displayInd}),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll("g.category").select("rect.catrect").each(function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map(function(t){return t.displayInd}),e.model.dragY=e.y,s.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll("rect.bandrect").each(function(e){e.y<i&&i<=e.y+e.height&&(t.potentialClickBand=this)}))}),t.parcatsViewModel.dragDimension=t,o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function O(t){if("fixed"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,i=e+1,a=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=a.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var s=o.model.dragY,l=o.model.displayInd,u=a.categories,c=u[l-1],f=u[l+1];void 0!==c&&s<c.y+c.height/2&&(o.model.displayInd=c.model.displayInd,c.model.displayInd=l),void 0!==f&&s+o.height>f.y+f.height/2&&(o.model.displayInd=f.model.displayInd,f.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||"freeform"===t.parcatsViewModel.arrangement){a.model.dragX=n.event.x;var h=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[i];void 0!==h&&a.model.dragX<h.x+h.width&&(a.model.displayInd=h.model.displayInd,h.model.displayInd=e),void 0!==p&&a.model.dragX+a.width>p.x&&(a.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=a.model.displayInd}j(t.parcatsViewModel),N(t.parcatsViewModel),R(t.parcatsViewModel),z(t.parcatsViewModel)}}function I(t){if("fixed"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll("text").attr("font-weight","normal");var e={},r=D(t.parcatsViewModel),i=t.parcatsViewModel.model.dimensions.map(function(t){return t.displayInd}),o=t.initialDragDimensionDisplayInds.some(function(t,e){return t!==i[e]});o&&i.forEach(function(r,n){var i=t.parcatsViewModel.model.dimensions[n].containerInd;e["dimensions["+i+"].displayindex"]=r});var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map(function(t){return t.displayInd});if(s=t.initialDragCategoryDisplayInds.some(function(t,e){return t!==l[e]})){var u=t.model.categories.slice().sort(function(t,e){return t.displayInd-e.displayInd}),c=u.map(function(t){return t.categoryValue}),f=u.map(function(t){return t.categoryLabel});e["dimensions["+t.model.containerInd+"].categoryarray"]=[c],e["dimensions["+t.model.containerInd+"].ticktext"]=[f],e["dimensions["+t.model.containerInd+"].categoryorder"]="array"}}-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip")&&!t.dragHasMoved&&t.potentialClickBand&&("color"===t.parcatsViewModel.hoveron?S(t.potentialClickBand,"plotly_click",n.event.sourceEvent):M(t.potentialClickBand,"plotly_click",n.event.sourceEvent)),t.model.dragX=null,null!==t.dragCategoryDisplayInd&&(t.parcatsViewModel.dimensions[t.dragDimensionDisplayInd].categories[t.dragCategoryDisplayInd].model.dragY=null,t.dragCategoryDisplayInd=null),t.dragDimensionDisplayInd=null,t.parcatsViewModel.dragDimension=null,t.dragHasMoved=null,t.potentialClickBand=null,j(t.parcatsViewModel),N(t.parcatsViewModel),n.transition().duration(300).ease("cubic-in-out").each(function(){R(t.parcatsViewModel,!0),z(t.parcatsViewModel,!0)}).each("end",function(){(o||s)&&a.restyle(t.parcatsViewModel.graphDiv,e,[r])})}}function D(t){for(var e,r=t.graphDiv._fullData,n=0;n<r.length;n++)if(t.key===r[n].uid){e=n;break}return e}function z(t,e){var r;void 0===e&&(e=!1),t.pathSelection.data(function(t){return t.paths},p),(r=t.pathSelection,e?r.transition():r).attr("d",function(t){return t.svgD})}function R(t,e){function r(t){return e?t.transition():t}void 0===e&&(e=!1),t.dimensionSelection.data(function(t){return t.dimensions},p);var i=t.dimensionSelection.selectAll("g.category").data(function(t){return t.categories},p);r(t.dimensionSelection).attr("transform",function(t){return l(t.x,0)}),r(i).attr("transform",function(t){return l(0,t.y)}),i.select(".dimlabel").text(function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null}),i.select(".catlabel").attr("text-anchor",function(t){return d(t)?"start":"end"}).attr("x",function(t){return d(t)?t.width+5:-5}).each(function(t){var e,r;d(t)?(e=t.width+5,r="start"):(e=-5,r="end"),n.select(this).selectAll("tspan").attr("x",e).attr("text-anchor",r)});var a=i.selectAll("rect.bandrect").data(function(t){return t.bands},p),o=a.enter().append("rect").attr("class","bandrect").attr("cursor","move").attr("stroke-opacity",0).attr("fill",function(t){return t.color}).attr("fill-opacity",0);a.attr("fill",function(t){return t.color}).attr("width",function(t){return t.width}).attr("height",function(t){return t.height}).attr("y",function(t){return t.y}),A(o),a.each(function(){s.raiseToTop(this)}),a.exit().remove()}function F(t,e,r){var n,i=r[0],a=e.margin||{l:80,r:80,t:100,b:80},o=i.trace,s=o.domain,l=e.width,u=e.height,c=Math.floor(l*(s.x[1]-s.x[0])),f=Math.floor(u*(s.y[1]-s.y[0])),h=s.x[0]*l+a.l,p=e.height-s.y[1]*e.height+a.t,d=o.line.shape;n="all"===o.hoverinfo?["count","probability"]:(o.hoverinfo||"").split("+");var v={trace:o,key:o.uid,model:i,x:h,y:p,width:c,height:f,hoveron:o.hoveron,hoverinfoItems:n,arrangement:o.arrangement,bundlecolors:o.bundlecolors,sortpaths:o.sortpaths,labelfont:o.labelfont,categorylabelfont:o.tickfont,pathShape:d,dragDimension:null,margin:a,paths:[],dimensions:[],graphDiv:t,traceSelection:null,pathSelection:null,dimensionSelection:null};return i.dimensions&&(j(v),N(v)),v}function B(t,e,r,n,a){var o,s,l=[],u=[];for(s=0;s<r.length-1;s++)o=i(r[s]+t[s],t[s+1]),l.push(o(a)),u.push(o(1-a));var c="M "+t[0]+","+e[0];for(c+="l"+r[0]+",0 ",s=1;s<r.length;s++)c+="C"+l[s-1]+","+e[s-1]+" "+u[s-1]+","+e[s]+" "+t[s]+","+e[s],c+="l"+r[s]+",0 ";for(c+="l0,"+n+" ",c+="l -"+r[r.length-1]+",0 ",s=r.length-2;s>=0;s--)c+="C"+u[s]+","+(e[s+1]+n)+" "+l[s]+","+(e[s]+n)+" "+(t[s]+r[s])+","+(e[s]+n),c+="l-"+r[s]+",0 ";return c+"Z"}function N(t){var e=t.dimensions,r=t.model,n=e.map(function(t){return t.categories.map(function(t){return t.y})}),i=t.model.dimensions.map(function(t){return 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t.append("path").attr("class","zoombox-corners").style({fill:f.background,stroke:f.defaultLine,"stroke-width":1,opacity:0}).attr("transform",u(e,r)).attr("d","M0,0Z")}function U(t,e,r,n,i,a){t.attr("d",n+"M"+r.l+","+r.t+"v"+r.h+"h"+r.w+"v-"+r.h+"h-"+r.w+"Z"),V(t,e,i,a)}function V(t,e,r,n){r||(t.transition().style("fill",n>.2?"rgba(0,0,0,0.4)":"rgba(255,255,255,0.3)").duration(200),e.transition().style("opacity",1).duration(200))}function H(t){n.select(t).selectAll(".zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners").remove()}function q(t){O&&t.data&&t._context.showTips&&(i.notifier(i._(t,"Double-click to zoom back out"),"long"),O=!1)}function G(t){var e=Math.floor(Math.min(t.b-t.t,t.r-t.l,P)/2);return"M"+(t.l-3.5)+","+(t.t-.5+e)+"h3v"+-e+"h"+e+"v-3h-"+(e+3)+"ZM"+(t.r+3.5)+","+(t.t-.5+e)+"h-3v"+-e+"h"+-e+"v-3h"+(e+3)+"ZM"+(t.r+3.5)+","+(t.b+.5-e)+"h-3v"+e+"h"+-e+"v3h"+(e+3)+"ZM"+(t.l-3.5)+","+(t.b+.5-e)+"h3v"+e+"h"+e+"v3h-"+(e+3)+"Z"}function Y(t,e,r,n,a){for(var o,s,l,u,c=!1,f={},h={},p=(a||{}).xaHash,d=(a||{}).yaHash,v=0;v<e.length;v++){var g=e[v];for(o in r)if(g[o]){for(l in g)a&&(p[l]||d[l])||("x"===l.charAt(0)?r:n)[l]||(f[l]=o);for(s in n)a&&(p[s]||d[s])||!g[s]||(c=!0)}for(s in n)if(g[s])for(u in g)a&&(p[u]||d[u])||("x"===u.charAt(0)?r:n)[u]||(h[u]=s)}c&&(i.extendFlat(f,h),h={});var y={},m=[];for(l in f){var x=A(t,l);m.push(x),y[x._id]=x}var b={},_=[];for(u in h){var w=A(t,u);_.push(w),b[w._id]=w}return{xaHash:y,yaHash:b,xaxes:m,yaxes:_,xLinks:f,yLinks:h,isSubplotConstrained:c}}function W(t,e){if(s){var r=void 0!==t.onwheel?"wheel":"mousewheel";t._onwheel&&t.removeEventListener(r,t._onwheel),t._onwheel=e,t.addEventListener(r,e,{passive:!1})}else void 0!==t.onwheel?t.onwheel=e:void 0!==t.onmousewheel?t.onmousewheel=e:t.isAddedWheelEvent||(t.isAddedWheelEvent=!0,t.addEventListener("wheel",e,{passive:!1}))}function Z(t){var e=[];for(var r in t)e.push(t[r]);return e}t.exports={makeDragBox:function(t,e,r,s,u,f,v,y){var O,I,V,X,J,K,$,Q,tt,et,rt,nt,it,at,ot,st,lt,ut,ct,ft,ht,pt,dt,vt=t._fullLayout._zoomlayer,gt=v+y==="nsew",yt=1===(v+y).length;function mt(){if(O=e.xaxis,I=e.yaxis,tt=O._length,et=I._length,$=O._offset,Q=I._offset,(V={})[O._id]=O,(X={})[I._id]=I,v&&y)for(var r=e.overlays,n=0;n<r.length;n++){var i=r[n].xaxis;V[i._id]=i;var a=r[n].yaxis;X[a._id]=a}J=Z(V),K=Z(X),it=z(J,y),at=z(K,v),ot=!at&&!it,nt=Y(t,t._fullLayout._axisMatchGroups,V,X);var o=(rt=Y(t,t._fullLayout._axisConstraintGroups,V,X,nt)).isSubplotConstrained||nt.isSubplotConstrained;st=y||o,lt=v||o;var s=t._fullLayout;ut=s._has("scattergl"),ct=s._has("splom"),ft=s._has("svg")}r+=e.yaxis._shift,mt();var xt=function(t,e,r){return t?"nsew"===t?r?"":"pan"===e?"move":"crosshair":t.toLowerCase()+"-resize":"pointer"}(at+it,t._fullLayout.dragmode,gt),bt=D(e,v+y+"drag",xt,r,s,u,f);if(ot&&!gt)return bt.onmousedown=null,bt.style.pointerEvents="none",bt;var _t,wt,Tt,At,kt,Mt,St,Et,Lt,Ct,Pt={element:bt,gd:t,plotinfo:e};function Ot(){Pt.plotinfo.selection=!1,M(t)}function It(t,r){var i=Pt.gd;if(i._fullLayout._activeShapeIndex>=0)i._fullLayout._deactivateShape(i);else{var o=i._fullLayout.clickmode;if(H(i),2!==t||yt||qt(),gt)o.indexOf("select")>-1&&S(r,i,J,K,e.id,Pt),o.indexOf("event")>-1&&p.click(i,r,e.id);else if(1===t&&yt){var s=v?I:O,u="s"===v||"w"===y?0:1,f=s._name+".range["+u+"]",h=function(t,e){var r,n=t.range[e],i=Math.abs(n-t.range[1-e]);return"date"===t.type?n:"log"===t.type?(r=Math.ceil(Math.max(0,-Math.log(i)/Math.LN10))+3,a("."+r+"g")(Math.pow(10,n))):(r=Math.floor(Math.log(Math.abs(n))/Math.LN10)-Math.floor(Math.log(i)/Math.LN10)+4,a("."+String(r)+"g")(n))}(s,u),d="left",g="middle";if(s.fixedrange)return;v?(g="n"===v?"top":"bottom","right"===s.side&&(d="right")):"e"===y&&(d="right"),i._context.showAxisRangeEntryBoxes&&n.select(bt).call(c.makeEditable,{gd:i,immediate:!0,background:i._fullLayout.paper_bgcolor,text:String(h),fill:s.tickfont?s.tickfont.color:"#444",horizontalAlign:d,verticalAlign:g}).on("edit",function(t){var e=s.d2r(t);void 0!==e&&l.call("_guiRelayout",i,f,e)})}}}function Dt(e,r){if(t._transitioningWithDuration)return!1;var n=Math.max(0,Math.min(tt,pt*e+_t)),i=Math.max(0,Math.min(et,dt*r+wt)),a=Math.abs(n-_t),o=Math.abs(i-wt);function s(){St="",Tt.r=Tt.l,Tt.t=Tt.b,Lt.attr("d","M0,0Z")}if(Tt.l=Math.min(_t,n),Tt.r=Math.max(_t,n),Tt.t=Math.min(wt,i),Tt.b=Math.max(wt,i),rt.isSubplotConstrained)a>P||o>P?(St="xy",a/tt>o/et?(o=a*et/tt,wt>i?Tt.t=wt-o:Tt.b=wt+o):(a=o*tt/et,_t>n?Tt.l=_t-a:Tt.r=_t+a),Lt.attr("d",G(Tt))):s();else if(nt.isSubplotConstrained)if(a>P||o>P){St="xy";var l=Math.min(Tt.l/tt,(et-Tt.b)/et),u=Math.max(Tt.r/tt,(et-Tt.t)/et);Tt.l=l*tt,Tt.r=u*tt,Tt.b=(1-l)*et,Tt.t=(1-u)*et,Lt.attr("d",G(Tt))}else 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a=Pt.dragmode,s=t._fullLayout.dragmode;s!==a&&(Pt.dragmode=s),mt(),pt=t._fullLayout._invScaleX,dt=t._fullLayout._invScaleY,ot||(gt?e.shiftKey?"pan"===s?s="zoom":m(s)||(s="pan"):e.ctrlKey&&(s="pan"):s="pan"),x(s)?Pt.minDrag=1:Pt.minDrag=void 0,m(s)?(Pt.xaxes=J,Pt.yaxes=K,k(e,r,n,Pt,s)):(Pt.clickFn=It,m(a)&&Ot(),ot||("zoom"===s?(Pt.moveFn=Dt,Pt.doneFn=Rt,Pt.minDrag=1,function(e,r,n){var a=bt.getBoundingClientRect();_t=r-a.left,wt=n-a.top,t._fullLayout._calcInverseTransform(t);var s=i.apply3DTransform(t._fullLayout._invTransform)(_t,wt);_t=s[0],wt=s[1],Tt={l:_t,r:_t,w:0,t:wt,b:wt,h:0},At=t._hmpixcount?t._hmlumcount/t._hmpixcount:o(t._fullLayout.plot_bgcolor).getLuminance(),Mt=!1,St="xy",Ct=!1,Et=N(vt,At,$,Q,kt="M0,0H"+tt+"V"+et+"H0V0"),Lt=j(vt,$,Q)}(0,r,n)):"pan"===s&&(Pt.moveFn=Ut,Pt.doneFn=Gt))),t._fullLayout._redrag=function(){var e=t._dragdata;if(e&&e.element===bt){var r=t._fullLayout.dragmode;m(r)||(mt(),Yt([0,0,tt,et]),Pt.moveFn(e.dx,e.dy))}}},g.init(Pt);var Ft=[0,0,tt,et],Bt=null,Nt=L.REDRAWDELAY,jt=e.mainplot?t._fullLayout._plots[e.mainplot]:e;function Ut(e,r){if(e*=pt,r*=dt,!t._transitioningWithDuration){if(t._fullLayout._replotting=!0,"ew"===it||"ns"===at){var n=it?-e:0,i=at?-r:0;if(nt.isSubplotConstrained){if(it&&at){var a=(e/tt-r/et)/2;n=-(e=a*tt),i=-(r=-a*et)}at?n=-i*tt/et:i=-n*et/tt}return it&&(F(J,e),Vt("x")),at&&(F(K,r),Vt("y")),Yt([n,i,tt,et]),Ht(),void t.emit("plotly_relayouting",ht)}var o,s,l="w"===it==("n"===at)?1:-1;if(it&&at&&(rt.isSubplotConstrained||nt.isSubplotConstrained)){var u=(e/tt+l*r/et)/2;e=u*tt,r=l*u*et}if("w"===it?e=p(J,0,e):"e"===it?e=p(J,1,-e):it||(e=0),"n"===at?r=p(K,1,r):"s"===at?r=p(K,0,-r):at||(r=0),o="w"===it?e:0,s="n"===at?r:0,rt.isSubplotConstrained&&!nt.isSubplotConstrained||nt.isSubplotConstrained&&it&&at&&l>0){var c;if(nt.isSubplotConstrained||!it&&1===at.length){for(c=0;c<J.length;c++)J[c].range=J[c]._r.slice(),E(J[c],1-r/et);o=(e=r*tt/et)/2}if(nt.isSubplotConstrained||!at&&1===it.length){for(c=0;c<K.length;c++)K[c].range=K[c]._r.slice(),E(K[c],1-e/tt);s=(r=e*et/tt)/2}}nt.isSubplotConstrained&&at||Vt("x"),nt.isSubplotConstrained&&it||Vt("y");var f=tt-e,h=et-r;!nt.isSubplotConstrained||it&&at||(it?(s=o?0:e*et/tt,h=f*et/tt):(o=s?0:r*tt/et,f=h*tt/et)),Yt([o,s,f,h]),Ht(),t.emit("plotly_relayouting",ht)}function p(t,e,r){for(var n,i,a=1-e,o=0;o<t.length;o++){var s=t[o];if(!s.fixedrange){n=s,i=s._rl[a]+(s._rl[e]-s._rl[a])/B(r/s._length);var l=s.l2r(i);!1!==l&&void 0!==l&&(s.range[e]=l)}}return n._length*(n._rl[e]-i)/(n._rl[e]-n._rl[a])}}function Vt(t,e){for(var r=nt.isSubplotConstrained?{x:K,y:J}[t]:nt[t+"axes"],n=nt.isSubplotConstrained?{x:J,y:K}[t]:[],i=0;i<r.length;i++){var a=r[i],o=a._id,s=nt.xLinks[o]||nt.yLinks[o],l=n[0]||V[s]||X[s];l&&(e?(e[a._name+".range[0]"]=e[l._name+".range[0]"],e[a._name+".range[1]"]=e[l._name+".range[1]"]):a.range=l.range.slice())}}function Ht(){var r,n=[];function i(t){for(r=0;r<t.length;r++)t[r].fixedrange||n.push(t[r]._id)}function a(t,e){for(r=0;r<t.length;r++){var i=t[r],a=i[e];i.fixedrange||"sync"!==a.tickmode||n.push(a._id)}}for(st&&(i(J),i(rt.xaxes),i(nt.xaxes),a(e.overlays,"xaxis")),lt&&(i(K),i(rt.yaxes),i(nt.yaxes),a(e.overlays,"yaxis")),ht={},r=0;r<n.length;r++){var o=n[r],s=A(t,o);d.drawOne(t,s,{skipTitle:!0}),ht[s._name+".range[0]"]=s.range[0],ht[s._name+".range[1]"]=s.range[1]}d.redrawComponents(t,n)}function qt(){if(!t._transitioningWithDuration){var e=t._context.doubleClick,r=[];it&&(r=r.concat(J)),at&&(r=r.concat(K)),nt.xaxes&&(r=r.concat(nt.xaxes)),nt.yaxes&&(r=r.concat(nt.yaxes));var n,i,a,o={};if("reset+autosize"===e)for(e="autosize",i=0;i<r.length;i++)if((n=r[i])._rangeInitial&&(n.range[0]!==n._rangeInitial[0]||n.range[1]!==n._rangeInitial[1])||!n._rangeInitial&&!n.autorange){e="reset";break}if("autosize"===e)for(i=0;i<r.length;i++)(n=r[i]).fixedrange||(o[n._name+".autorange"]=!0);else if("reset"===e)for((it||rt.isSubplotConstrained)&&(r=r.concat(rt.xaxes)),at&&!rt.isSubplotConstrained&&(r=r.concat(rt.yaxes)),rt.isSubplotConstrained&&(it?at||(r=r.concat(K)):r=r.concat(J)),i=0;i<r.length;i++)(n=r[i]).fixedrange||(n._rangeInitial?(a=n._rangeInitial,o[n._name+".range[0]"]=a[0],o[n._name+".range[1]"]=a[1]):o[n._name+".autorange"]=!0);t.emit("plotly_doubleclick",null),l.call("_guiRelayout",t,o)}}function Gt(){Yt([0,0,tt,et]),i.syncOrAsync([T.previousPromises,function(){t._fullLayout._replotting=!1,l.call("_guiRelayout",t,ht)}],t)}function Yt(e){var r,n,a,o,s=t._fullLayout,u=s._plots,c=s._subplots.cartesian;if(ct&&l.subplotsRegistry.splom.drag(t),ut)for(r=0;r<c.length;r++)if(a=(n=u[c[r]]).xaxis,o=n.yaxis,n._scene){var f=i.simpleMap(a.range,a.r2l),p=i.simpleMap(o.range,o.r2l);n._scene.update({range:[f[0],p[0],f[1],p[1]]})}if((ct||ut)&&(_(t),w(t)),ft){var d=e[2]/O._length,g=e[3]/I._length;for(r=0;r<c.length;r++){a=(n=u[c[r]]).xaxis,o=n.yaxis;var m,x,b,T,A=(st||nt.isSubplotConstrained)&&!a.fixedrange&&V[a._id],k=(lt||nt.isSubplotConstrained)&&!o.fixedrange&&X[o._id];if(A?(m=d,b=y||nt.isSubplotConstrained?e[0]:Xt(a,m)):nt.xaHash[a._id]?(m=d,b=e[0]*a._length/O._length):nt.yaHash[a._id]?(m=g,b="ns"===at?-e[1]*a._length/I._length:Xt(a,m,{n:"top",s:"bottom"}[at])):b=Zt(a,m=Wt(a,d,g)),k?(x=g,T=v||nt.isSubplotConstrained?e[1]:Xt(o,x)):nt.yaHash[o._id]?(x=g,T=e[1]*o._length/I._length):nt.xaHash[o._id]?(x=d,T="ew"===it?-e[0]*o._length/O._length:Xt(o,x,{e:"right",w:"left"}[it])):T=Zt(o,x=Wt(o,d,g)),m||x){m||(m=1),x||(x=1);var M=a._offset-b/m,S=o._offset-T/x;n.clipRect.call(h.setTranslate,b,T).call(h.setScale,m,x),n.plot.call(h.setTranslate,M,S).call(h.setScale,1/m,1/x),m===n.xScaleFactor&&x===n.yScaleFactor||(h.setPointGroupScale(n.zoomScalePts,m,x),h.setTextPointsScale(n.zoomScaleTxt,m,x)),h.hideOutsideRangePoints(n.clipOnAxisFalseTraces,n),n.xScaleFactor=m,n.yScaleFactor=x}}}}function Wt(t,e,r){return t.fixedrange?0:st&&rt.xaHash[t._id]?e:lt&&(rt.isSubplotConstrained?rt.xaHash:rt.yaHash)[t._id]?r:0}function Zt(t,e){return e?(t.range=t._r.slice(),E(t,e),Xt(t,e)):0}function Xt(t,e,r){return t._length*(1-e)*b[r||t.constraintoward||"middle"]}return v.length*y.length!==1&&W(bt,function(e){if(t._context._scrollZoom.cartesian||t._fullLayout._enablescrollzoom){if(Ot(),t._transitioningWithDuration)return e.preventDefault(),void e.stopPropagation();mt(),clearTimeout(Bt);var r=-e.deltaY;if(isFinite(r)||(r=e.wheelDelta/10),isFinite(r)){var 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r=x(m,e,t.label),n=r.node()&&o.bBox(r.node())||{width:0,height:0},i=u.lineCount(r);c.currentValueMaxWidth=Math.max(c.currentValueMaxWidth,Math.ceil(n.width)),c.currentValueHeight=Math.max(c.currentValueHeight,Math.ceil(n.height)),c.currentValueMaxLines=Math.max(c.currentValueMaxLines,i)}),c.currentValueTotalHeight=c.currentValueHeight+e.currentvalue.offset,m.remove()}c.height=c.currentValueTotalHeight+f.tickOffset+e.ticklen+f.labelOffset+c.labelHeight+e.pad.t+e.pad.b;var b="left";s.isRightAnchor(e)&&(c.lx-=c.outerLength,b="right"),s.isCenterAnchor(e)&&(c.lx-=c.outerLength/2,b="center");var w="top";s.isBottomAnchor(e)&&(c.ly-=c.height,w="bottom"),s.isMiddleAnchor(e)&&(c.ly-=c.height/2,w="middle"),c.outerLength=Math.ceil(c.outerLength),c.height=Math.ceil(c.height),c.lx=Math.round(c.lx),c.ly=Math.round(c.ly);var T={y:e.y,b:c.height*v[w],t:c.height*d[w]};"fraction"===e.lenmode?(T.l=0,T.xl=e.x-e.len*d[b],T.r=0,T.xr=e.x+e.len*v[b]):(T.x=e.x,T.l=c.outerLength*d[b],T.r=c.outerLength*v[b]),i.autoMargin(t,g(e),T)}function x(t,e,r){if(e.currentvalue.visible){var n,i,a=e._dims;switch(e.currentvalue.xanchor){case"right":n=a.inputAreaLength-f.currentValueInset-a.currentValueMaxWidth,i="left";break;case"center":n=.5*a.inputAreaLength,i="middle";break;default:n=f.currentValueInset,i="left"}var l=s.ensureSingle(t,"text",f.labelClass,function(t){t.attr({"text-anchor":i,"data-notex":1})}),c=e.currentvalue.prefix?e.currentvalue.prefix:"";if("string"==typeof r)c+=r;else{var h=e.steps[e.active].label,d=e._gd._fullLayout._meta;d&&(h=s.templateString(h,d)),c+=h}e.currentvalue.suffix&&(c+=e.currentvalue.suffix),l.call(o.font,e.currentvalue.font).text(c).call(u.convertToTspans,e._gd);var v=u.lineCount(l),g=(a.currentValueMaxLines+1-v)*e.currentvalue.font.size*p;return u.positionText(l,n,g),l}}function 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l=r.select("."+f.gripRectClass);n.event.stopPropagation(),n.event.preventDefault(),l.call(a.fill,t.activebgcolor);var u=L(t,n.mouse(i)[0]);function c(){var t=s(),a=L(t,n.mouse(i)[0]);T(e,r,t,a,!1)}function h(){var t=s();t._dragging=!1,l.call(a.fill,t.bgcolor),o.on("mouseup",null),o.on("mousemove",null),o.on("touchend",null),o.on("touchmove",null),e.emit("plotly_sliderend",{slider:t,step:t.steps[t.active]})}T(e,r,t,u,!0),t._dragging=!0,o.on("mousemove",c),o.on("touchmove",c),o.on("mouseup",h),o.on("touchend",h)}}function M(t,e){var r=t.selectAll("rect."+f.tickRectClass).data(e._visibleSteps),i=e._dims;r.enter().append("rect").classed(f.tickRectClass,!0),r.exit().remove(),r.attr({width:e.tickwidth+"px","shape-rendering":"crispEdges"}),r.each(function(t,r){var s=r%i.labelStride===0,l=n.select(this);l.attr({height:s?e.ticklen:e.minorticklen}).call(a.fill,e.tickcolor),o.setTranslate(l,E(e,r/(e._stepCount-1))-.5*e.tickwidth,(s?f.tickOffset:f.minorTickOffset)+i.currentValueTotalHeight)})}function S(t,e,r){for(var n=t.select("rect."+f.gripRectClass),i=0,a=0;a<e._stepCount;a++)if(e._visibleSteps[a]._index===e.active){i=a;break}var o=E(e,i/(e._stepCount-1));if(!e._invokingCommand){var s=n;r&&e.transition.duration>0&&(s=s.transition().duration(e.transition.duration).ease(e.transition.easing)),s.attr("transform",l(o-.5*f.gripWidth,e._dims.currentValueTotalHeight))}}function E(t,e){var r=t._dims;return r.inputAreaStart+f.stepInset+(r.inputAreaLength-2*f.stepInset)*Math.min(1,Math.max(0,e))}function L(t,e){var r=t._dims;return Math.min(1,Math.max(0,(e-f.stepInset-r.inputAreaStart)/(r.inputAreaLength-2*f.stepInset-2*r.inputAreaStart)))}function C(t,e,r){var 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r=e.parse(t[1],1,Ht);if(!r)return null;var n=[],i=null;e.expectedType&&"value"!==e.expectedType.kind&&(i=e.expectedType);for(var a=1;a<t.length;a+=2){var o=1===a?-1/0:t[a],s=t[a+1],l=a,u=a+1;if("number"!=typeof o)return e.error('Input/output pairs for "step" expressions must be defined using literal numeric values (not computed expressions) for the input values.',l);if(n.length&&n[n.length-1][0]>=o)return e.error('Input/output pairs for "step" expressions must be arranged with input values in strictly ascending order.',l);var c=e.parse(s,u,i);if(!c)return null;i=i||c.type,n.push([o,c])}return new Qe(i,r,n)},Qe.prototype.evaluate=function(t){var e=this.labels,r=this.outputs;if(1===e.length)return r[0].evaluate(t);var n=this.input.evaluate(t);if(n<=e[0])return r[0].evaluate(t);var i=e.length;return n>=e[i-1]?r[i-1].evaluate(t):r[$e(e,n)].evaluate(t)},Qe.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1)t(r[e])},Qe.prototype.outputDefined=function(){return this.outputs.every(function(t){return t.outputDefined()})},Qe.prototype.serialize=function(){for(var t=["step",this.input.serialize()],e=0;e<this.labels.length;e++)e>0&&t.push(this.labels[e]),t.push(this.outputs[e].serialize());return t};var er=Object.freeze({__proto__:null,number:tr,color:function(t,e,r){return new oe(tr(t.r,e.r,r),tr(t.g,e.g,r),tr(t.b,e.b,r),tr(t.a,e.a,r))},array:function(t,e,r){return t.map(function(t,n){return tr(t,e[n],r)})}}),rr=.95047,nr=1.08883,ir=4/29,ar=6/29,or=3*ar*ar,sr=ar*ar*ar,lr=Math.PI/180,ur=180/Math.PI;function cr(t){return t>sr?Math.pow(t,1/3):t/or+ir}function fr(t){return t>ar?t*t*t:or*(t-ir)}function hr(t){return 255*(t<=.0031308?12.92*t:1.055*Math.pow(t,1/2.4)-.055)}function pr(t){return(t/=255)<=.04045?t/12.92:Math.pow((t+.055)/1.055,2.4)}function dr(t){var e=pr(t.r),r=pr(t.g),n=pr(t.b),i=cr((.4124564*e+.3575761*r+.1804375*n)/rr),a=cr((.2126729*e+.7151522*r+.072175*n)/1);return{l:116*a-16,a:500*(i-a),b:200*(a-cr((.0193339*e+.119192*r+.9503041*n)/nr)),alpha:t.a}}function vr(t){var e=(t.l+16)/116,r=isNaN(t.a)?e:e+t.a/500,n=isNaN(t.b)?e:e-t.b/200;return e=1*fr(e),r=rr*fr(r),n=nr*fr(n),new oe(hr(3.2404542*r-1.5371385*e-.4985314*n),hr(-.969266*r+1.8760108*e+.041556*n),hr(.0556434*r-.2040259*e+1.0572252*n),t.alpha)}function gr(t,e,r){var n=e-t;return t+r*(n>180||n<-180?n-360*Math.round(n/360):n)}var yr={forward:dr,reverse:vr,interpolate:function(t,e,r){return{l:tr(t.l,e.l,r),a:tr(t.a,e.a,r),b:tr(t.b,e.b,r),alpha:tr(t.alpha,e.alpha,r)}}},mr={forward:function(t){var e=dr(t),r=e.l,n=e.a,i=e.b,a=Math.atan2(i,n)*ur;return{h:a<0?a+360:a,c:Math.sqrt(n*n+i*i),l:r,alpha:t.a}},reverse:function(t){var e=t.h*lr,r=t.c;return vr({l:t.l,a:Math.cos(e)*r,b:Math.sin(e)*r,alpha:t.alpha})},interpolate:function(t,e,r){return{h:gr(t.h,e.h,r),c:tr(t.c,e.c,r),l:tr(t.l,e.l,r),alpha:tr(t.alpha,e.alpha,r)}}},xr=Object.freeze({__proto__:null,lab:yr,hcl:mr}),br=function(t,e,r,n,i){this.type=t,this.operator=e,this.interpolation=r,this.input=n,this.labels=[],this.outputs=[];for(var a=0,o=i;a<o.length;a+=1){var s=o[a],l=s[0],u=s[1];this.labels.push(l),this.outputs.push(u)}};function _r(t,e,r,n){var i=n-r,a=t-r;return 0===i?0:1===e?a/i:(Math.pow(e,a)-1)/(Math.pow(e,i)-1)}br.interpolationFactor=function(t,e,r,i){var a=0;if("exponential"===t.name)a=_r(e,t.base,r,i);else if("linear"===t.name)a=_r(e,1,r,i);else if("cubic-bezier"===t.name){var o=t.controlPoints;a=new n(o[0],o[1],o[2],o[3]).solve(_r(e,1,r,i))}return a},br.parse=function(t,e){var r=t[0],n=t[1],i=t[2],a=t.slice(3);if(!Array.isArray(n)||0===n.length)return e.error("Expected an interpolation type expression.",1);if("linear"===n[0])n={name:"linear"};else 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a=$e(e,n),o=e[a],s=e[a+1],l=br.interpolationFactor(this.interpolation,n,o,s),u=r[a].evaluate(t),c=r[a+1].evaluate(t);return"interpolate"===this.operator?er[this.type.kind.toLowerCase()](u,c,l):"interpolate-hcl"===this.operator?mr.reverse(mr.interpolate(mr.forward(u),mr.forward(c),l)):yr.reverse(yr.interpolate(yr.forward(u),yr.forward(c),l))},br.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1)t(r[e])},br.prototype.outputDefined=function(){return this.outputs.every(function(t){return t.outputDefined()})},br.prototype.serialize=function(){var t;t="linear"===this.interpolation.name?["linear"]:"exponential"===this.interpolation.name?1===this.interpolation.base?["linear"]:["exponential",this.interpolation.base]:["cubic-bezier"].concat(this.interpolation.controlPoints);for(var e=[this.operator,t,this.input.serialize()],r=0;r<this.labels.length;r++)e.push(this.labels[r],this.outputs[r].serialize());return e};var wr=function(t,e){this.type=t,this.args=e};wr.parse=function(t,e){if(t.length<2)return e.error("Expectected at least one argument.");var r=null,n=e.expectedType;n&&"value"!==n.kind&&(r=n);for(var i=[],a=0,o=t.slice(1);a<o.length;a+=1){var s=o[a],l=e.parse(s,1+i.length,r,void 0,{typeAnnotation:"omit"});if(!l)return null;r=r||l.type,i.push(l)}var u=n&&i.some(function(t){return ee(n,t.type)});return new wr(u?Zt:r,i)},wr.prototype.evaluate=function(t){for(var e,r=null,n=0,i=0,a=this.args;i<a.length&&(n++,(r=a[i].evaluate(t))&&r instanceof ce&&!r.available&&(e||(e=r.name),r=null,n===this.args.length&&(r=e)),null===r);i+=1);return r},wr.prototype.eachChild=function(t){this.args.forEach(t)},wr.prototype.outputDefined=function(){return this.args.every(function(t){return t.outputDefined()})},wr.prototype.serialize=function(){var t=["coalesce"];return this.eachChild(function(e){t.push(e.serialize())}),t};var Tr=function(t,e){this.type=e.type,this.bindings=[].concat(t),this.result=e};Tr.prototype.evaluate=function(t){return this.result.evaluate(t)},Tr.prototype.eachChild=function(t){for(var e=0,r=this.bindings;e<r.length;e+=1)t(r[e][1]);t(this.result)},Tr.parse=function(t,e){if(t.length<4)return e.error("Expected at least 3 arguments, but found "+(t.length-1)+" instead.");for(var r=[],n=1;n<t.length-1;n+=2){var i=t[n];if("string"!=typeof i)return e.error("Expected string, but found "+typeof i+" instead.",n);if(/[^a-zA-Z0-9_]/.test(i))return e.error("Variable names must contain only alphanumeric characters or '_'.",n);var a=e.parse(t[n+1],n+1);if(!a)return null;r.push([i,a])}var o=e.parse(t[t.length-1],t.length-1,e.expectedType,r);return o?new Tr(r,o):null},Tr.prototype.outputDefined=function(){return this.result.outputDefined()},Tr.prototype.serialize=function(){for(var t=["let"],e=0,r=this.bindings;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];t.push(i,a.serialize())}return t.push(this.result.serialize()),t};var Ar=function(t,e,r){this.type=t,this.index=e,this.input=r};Ar.parse=function(t,e){if(3!==t.length)return e.error("Expected 2 arguments, but found "+(t.length-1)+" instead.");var r=e.parse(t[1],1,Ht),n=e.parse(t[2],2,$t(e.expectedType||Zt));if(!r||!n)return null;var i=n.type;return new Ar(i.itemType,r,n)},Ar.prototype.evaluate=function(t){var e=this.index.evaluate(t),r=this.input.evaluate(t);if(e<0)throw new ge("Array index out of bounds: "+e+" < 0.");if(e>=r.length)throw new ge("Array index out of bounds: "+e+" > "+(r.length-1)+".");if(e!==Math.floor(e))throw new ge("Array index must be an integer, but found "+e+" instead.");return r[e]},Ar.prototype.eachChild=function(t){t(this.index),t(this.input)},Ar.prototype.outputDefined=function(){return!1},Ar.prototype.serialize=function(){return["at",this.index.serialize(),this.input.serialize()]};var kr=function(t,e){this.type=Gt,this.needle=t,this.haystack=e};kr.parse=function(t,e){if(3!==t.length)return e.error("Expected 2 arguments, but found "+(t.length-1)+" instead.");var r=e.parse(t[1],1,Zt),n=e.parse(t[2],2,Zt);return r&&n?re(r.type,[Gt,qt,Ht,Vt,Zt])?new kr(r,n):e.error("Expected first argument to be of type boolean, string, number or null, but found "+Qt(r.type)+" instead"):null},kr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!r)return!1;if(!ne(e,["boolean","string","number","null"]))throw new ge("Expected first argument to be of type boolean, string, number or null, but found "+Qt(pe(e))+" instead.");if(!ne(r,["string","array"]))throw new ge("Expected second argument to be of type array or string, but found "+Qt(pe(r))+" instead.");return r.indexOf(e)>=0},kr.prototype.eachChild=function(t){t(this.needle),t(this.haystack)},kr.prototype.outputDefined=function(){return!0},kr.prototype.serialize=function(){return["in",this.needle.serialize(),this.haystack.serialize()]};var Mr=function(t,e,r){this.type=Ht,this.needle=t,this.haystack=e,this.fromIndex=r};Mr.parse=function(t,e){if(t.length<=2||t.length>=5)return e.error("Expected 3 or 4 arguments, but found "+(t.length-1)+" instead.");var r=e.parse(t[1],1,Zt),n=e.parse(t[2],2,Zt);if(!r||!n)return null;if(!re(r.type,[Gt,qt,Ht,Vt,Zt]))return e.error("Expected first argument to be of type boolean, string, number or null, but found "+Qt(r.type)+" instead");if(4===t.length){var i=e.parse(t[3],3,Ht);return i?new Mr(r,n,i):null}return new Mr(r,n)},Mr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!ne(e,["boolean","string","number","null"]))throw new ge("Expected first argument to be of type boolean, string, number or null, but found "+Qt(pe(e))+" instead.");if(!ne(r,["string","array"]))throw new ge("Expected second argument to be of type array or string, but found "+Qt(pe(r))+" instead.");if(this.fromIndex){var n=this.fromIndex.evaluate(t);return r.indexOf(e,n)}return r.indexOf(e)},Mr.prototype.eachChild=function(t){t(this.needle),t(this.haystack),this.fromIndex&&t(this.fromIndex)},Mr.prototype.outputDefined=function(){return!1},Mr.prototype.serialize=function(){if(null!=this.fromIndex&&void 0!==this.fromIndex){var t=this.fromIndex.serialize();return["index-of",this.needle.serialize(),this.haystack.serialize(),t]}return["index-of",this.needle.serialize(),this.haystack.serialize()]};var Sr=function(t,e,r,n,i,a){this.inputType=t,this.type=e,this.input=r,this.cases=n,this.outputs=i,this.otherwise=a};Sr.parse=function(t,e){if(t.length<5)return e.error("Expected at least 4 arguments, but found only "+(t.length-1)+".");if(t.length%2!=1)return e.error("Expected an even number of arguments.");var r,n;e.expectedType&&"value"!==e.expectedType.kind&&(n=e.expectedType);for(var i={},a=[],o=2;o<t.length-1;o+=2){var s=t[o],l=t[o+1];Array.isArray(s)||(s=[s]);var u=e.concat(o);if(0===s.length)return u.error("Expected at least one branch label.");for(var 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pn=function(t,e){this._parameters=t,this._specification=e,Ft(this,tn(this._parameters,this._specification))};function dn(t){var e=null;if(t instanceof Tr)e=dn(t.result);else if(t instanceof wr)for(var r=0,n=t.args;r<n.length;r+=1){var i=n[r];if(e=dn(i))break}else(t instanceof Qe||t instanceof br)&&t.input instanceof ke&&"zoom"===t.input.name&&(e=t);return e instanceof jt||t.eachChild(function(t){var r=dn(t);r instanceof jt?e=r:!e&&r?e=new jt("",'"zoom" expression may only be used as input to a top-level "step" or "interpolate" expression.'):e&&r&&e!==r&&(e=new jt("",'Only one zoom-based "step" or "interpolate" subexpression may be used in an expression.'))}),e}function vn(t){var e=t.key,r=t.value,n=t.valueSpec||{},i=t.objectElementValidators||{},a=t.style,o=t.styleSpec,s=[],l=Kr(r);if("object"!==l)return[new zt(e,r,"object expected, "+l+" found")];for(var u in r){var c=u.split(".")[0],f=n[c]||n["*"],h=void 0;if(i[c])h=i[c];else if(n[c])h=Vn;else 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e=[],a=t.value,s=t.key;if("array"!==Kr(a))return[new zt(s,a,"array expected, "+Kr(a)+" found")];if(2!==a.length)return[new zt(s,a,"array length 2 expected, length "+a.length+" found")];if(u){if("object"!==Kr(a[0]))return[new zt(s,a,"object expected, "+Kr(a[0])+" found")];if(void 0===a[0].zoom)return[new zt(s,a,"object stop key must have zoom")];if(void 0===a[0].value)return[new zt(s,a,"object stop key must have value")];if(n&&n>Bt(a[0].zoom))return[new zt(s,a[0].zoom,"stop zoom values must appear in ascending order")];Bt(a[0].zoom)!==n&&(n=Bt(a[0].zoom),r=void 0,o={}),e=e.concat(vn({key:s+"[0]",value:a[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:yn,value:h}}))}else e=e.concat(h({key:s+"[0]",value:a[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},a));return ln(Nt(a[1]))?e.concat([new zt(s+"[1]",a[1],"expressions are not allowed in function 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e=("property"===t.expressionContext?hn:un)(Nt(t.value),t.valueSpec);if("error"===e.result)return e.value.map(function(e){return new zt(""+t.key+e.key,t.value,e.message)});var r=e.value.expression||e.value._styleExpression.expression;if("property"===t.expressionContext&&"text-font"===t.propertyKey&&!r.outputDefined())return[new zt(t.key,t.value,'Invalid data expression for "'+t.propertyKey+'". 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0===this.fadeDuration?1:Math.min((this.now-this.zoomHistory.lastIntegerZoomTime)/this.fadeDuration,1)},zi.prototype.getCrossfadeParameters=function(){var t=this.zoom,e=t-Math.floor(t),r=this.crossFadingFactor();return t>this.zoomHistory.lastIntegerZoom?{fromScale:2,toScale:1,t:e+(1-e)*r}:{fromScale:.5,toScale:1,t:1-(1-r)*e}};var Ri=function(t,e){this.property=t,this.value=e,this.expression=function(t,e){if($r(t))return new pn(t,e);if(ln(t)){var r=hn(t,e);if("error"===r.result)throw new Error(r.value.map(function(t){return t.key+": "+t.message}).join(", "));return r.value}var n=t;return"string"==typeof t&&"color"===e.type&&(n=oe.parse(t)),{kind:"constant",evaluate:function(){return n}}}(void 0===e?t.specification.default:e,t.specification)};Ri.prototype.isDataDriven=function(){return"source"===this.expression.kind||"composite"===this.expression.kind},Ri.prototype.possiblyEvaluate=function(t,e,r){return this.property.possiblyEvaluate(this,t,e,r)};var Fi=function(t){this.property=t,this.value=new Ri(t,void 0)};Fi.prototype.transitioned=function(t,e){return new Ni(this.property,this.value,e,f({},t.transition,this.transition),t.now)},Fi.prototype.untransitioned=function(){return new Ni(this.property,this.value,null,{},0)};var Bi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitionablePropertyValues)};Bi.prototype.getValue=function(t){return b(this._values[t].value.value)},Bi.prototype.setValue=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new Fi(this._values[t].property)),this._values[t].value=new Ri(this._values[t].property,null===e?void 0:b(e))},Bi.prototype.getTransition=function(t){return b(this._values[t].transition)},Bi.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new Fi(this._values[t].property)),this._values[t].transition=b(e)||void 0},Bi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var 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this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u){var c=10*t,f=5*t;return this.int16[c+0]=e,this.int16[c+1]=r,this.int16[c+2]=n,this.int16[c+3]=i,this.int16[c+4]=a,this.int16[c+5]=o,this.uint32[f+3]=s,this.uint16[c+8]=l,this.uint16[c+9]=u,t},e}(ta);fa.prototype.bytesPerElement=20,ii("StructArrayLayout6i1ul2ui20",fa);var ha=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return 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this.uint16[i+0]=e,this.uint16[i+1]=r,this.uint16[i+2]=n,t},e}(ta);va.prototype.bytesPerElement=6,ii("StructArrayLayout3ui6",va);var ga=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g){var y=this.length;return this.resize(y+1),this.emplace(y,t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y){var m=24*t,x=12*t,b=48*t;return this.int16[m+0]=e,this.int16[m+1]=r,this.uint16[m+2]=n,this.uint16[m+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[m+10]=l,this.uint16[m+11]=u,this.uint16[m+12]=c,this.float32[x+7]=f,this.float32[x+8]=h,this.uint8[b+36]=p,this.uint8[b+37]=d,this.uint8[b+38]=v,this.uint32[x+10]=g,this.int16[m+22]=y,t},e}(ta);ga.prototype.bytesPerElement=48,ii("StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48",ga);var ya=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,A,k,M,S){var E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,A,k,M,S)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,A,k,M,S,E){var L=34*t,C=17*t;return this.int16[L+0]=e,this.int16[L+1]=r,this.int16[L+2]=n,this.int16[L+3]=i,this.int16[L+4]=a,this.int16[L+5]=o,this.int16[L+6]=s,this.int16[L+7]=l,this.uint16[L+8]=u,this.uint16[L+9]=c,this.uint16[L+10]=f,this.uint16[L+11]=h,this.uint16[L+12]=p,this.uint16[L+13]=d,this.uint16[L+14]=v,this.uint16[L+15]=g,this.uint16[L+16]=y,this.uint16[L+17]=m,this.uint16[L+18]=x,this.uint16[L+19]=b,this.uint16[L+20]=_,this.uint16[L+21]=w,this.uint16[L+22]=T,this.uint32[C+12]=A,this.float32[C+13]=k,this.float32[C+14]=M,this.float32[C+15]=S,this.float32[C+16]=E,t},e}(ta);ya.prototype.bytesPerElement=68,ii("StructArrayLayout8i15ui1ul4f68",ya);var ma=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.float32[r+0]=e,t},e}(ta);ma.prototype.bytesPerElement=4,ii("StructArrayLayout1f4",ma);var xa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.int16[i+0]=e,this.int16[i+1]=r,this.int16[i+2]=n,t},e}(ta);xa.prototype.bytesPerElement=6,ii("StructArrayLayout3i6",xa);var ba=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=2*t,a=4*t;return this.uint32[i+0]=e,this.uint16[a+2]=r,this.uint16[a+3]=n,t},e}(ta);ba.prototype.bytesPerElement=8,ii("StructArrayLayout1ul2ui8",ba);var _a=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.uint16[n+0]=e,this.uint16[n+1]=r,t},e}(ta);_a.prototype.bytesPerElement=4,ii("StructArrayLayout2ui4",_a);var wa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint16[r+0]=e,t},e}(ta);wa.prototype.bytesPerElement=2,ii("StructArrayLayout1ui2",wa);var Ta=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.float32[n+0]=e,this.float32[n+1]=r,t},e}(ta);Ta.prototype.bytesPerElement=8,ii("StructArrayLayout2f8",Ta);var Aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,this.float32[a+3]=i,t},e}(ta);Aa.prototype.bytesPerElement=16,ii("StructArrayLayout4f16",Aa);var ka=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorPointX:{configurable:!0},anchorPointY:{configurable:!0},x1:{configurable:!0},y1:{configurable:!0},x2:{configurable:!0},y2:{configurable:!0},featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0},anchorPoint:{configurable:!0}};return r.anchorPointX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorPointY.get=function(){return this._structArray.int16[this._pos2+1]},r.x1.get=function(){return this._structArray.int16[this._pos2+2]},r.y1.get=function(){return this._structArray.int16[this._pos2+3]},r.x2.get=function(){return this._structArray.int16[this._pos2+4]},r.y2.get=function(){return this._structArray.int16[this._pos2+5]},r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+8]},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.anchorPoint.get=function(){return new a(this.anchorPointX,this.anchorPointY)},Object.defineProperties(e.prototype,r),e}(Qi);ka.prototype.size=20;var Ma=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ka(this,t)},e}(fa);ii("CollisionBoxArray",Ma);var Sa=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},glyphStartIndex:{configurable:!0},numGlyphs:{configurable:!0},vertexStartIndex:{configurable:!0},lineStartIndex:{configurable:!0},lineLength:{configurable:!0},segment:{configurable:!0},lowerSize:{configurable:!0},upperSize:{configurable:!0},lineOffsetX:{configurable:!0},lineOffsetY:{configurable:!0},writingMode:{configurable:!0},placedOrientation:{configurable:!0},hidden:{configurable:!0},crossTileID:{configurable:!0},associatedIconIndex:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.glyphStartIndex.get=function(){return this._structArray.uint16[this._pos2+2]},r.numGlyphs.get=function(){return this._structArray.uint16[this._pos2+3]},r.vertexStartIndex.get=function(){return this._structArray.uint32[this._pos4+2]},r.lineStartIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.lineLength.get=function(){return this._structArray.uint32[this._pos4+4]},r.segment.get=function(){return this._structArray.uint16[this._pos2+10]},r.lowerSize.get=function(){return this._structArray.uint16[this._pos2+11]},r.upperSize.get=function(){return this._structArray.uint16[this._pos2+12]},r.lineOffsetX.get=function(){return this._structArray.float32[this._pos4+7]},r.lineOffsetY.get=function(){return this._structArray.float32[this._pos4+8]},r.writingMode.get=function(){return this._structArray.uint8[this._pos1+36]},r.placedOrientation.get=function(){return this._structArray.uint8[this._pos1+37]},r.placedOrientation.set=function(t){this._structArray.uint8[this._pos1+37]=t},r.hidden.get=function(){return this._structArray.uint8[this._pos1+38]},r.hidden.set=function(t){this._structArray.uint8[this._pos1+38]=t},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+10]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+10]=t},r.associatedIconIndex.get=function(){return this._structArray.int16[this._pos2+22]},Object.defineProperties(e.prototype,r),e}(Qi);Sa.prototype.size=48;var Ea=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new Sa(this,t)},e}(ga);ii("PlacedSymbolArray",Ea);var La=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},rightJustifiedTextSymbolIndex:{configurable:!0},centerJustifiedTextSymbolIndex:{configurable:!0},leftJustifiedTextSymbolIndex:{configurable:!0},verticalPlacedTextSymbolIndex:{configurable:!0},placedIconSymbolIndex:{configurable:!0},verticalPlacedIconSymbolIndex:{configurable:!0},key:{configurable:!0},textBoxStartIndex:{configurable:!0},textBoxEndIndex:{configurable:!0},verticalTextBoxStartIndex:{configurable:!0},verticalTextBoxEndIndex:{configurable:!0},iconBoxStartIndex:{configurable:!0},iconBoxEndIndex:{configurable:!0},verticalIconBoxStartIndex:{configurable:!0},verticalIconBoxEndIndex:{configurable:!0},featureIndex:{configurable:!0},numHorizontalGlyphVertices:{configurable:!0},numVerticalGlyphVertices:{configurable:!0},numIconVertices:{configurable:!0},numVerticalIconVertices:{configurable:!0},useRuntimeCollisionCircles:{configurable:!0},crossTileID:{configurable:!0},textBoxScale:{configurable:!0},textOffset0:{configurable:!0},textOffset1:{configurable:!0},collisionCircleDiameter:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.rightJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+2]},r.centerJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+3]},r.leftJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+4]},r.verticalPlacedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+5]},r.placedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+6]},r.verticalPlacedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+7]},r.key.get=function(){return this._structArray.uint16[this._pos2+8]},r.textBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.textBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+10]},r.verticalTextBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+11]},r.verticalTextBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+12]},r.iconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+13]},r.iconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+14]},r.verticalIconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+15]},r.verticalIconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+16]},r.featureIndex.get=function(){return this._structArray.uint16[this._pos2+17]},r.numHorizontalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+18]},r.numVerticalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+19]},r.numIconVertices.get=function(){return this._structArray.uint16[this._pos2+20]},r.numVerticalIconVertices.get=function(){return this._structArray.uint16[this._pos2+21]},r.useRuntimeCollisionCircles.get=function(){return this._structArray.uint16[this._pos2+22]},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+12]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+12]=t},r.textBoxScale.get=function(){return this._structArray.float32[this._pos4+13]},r.textOffset0.get=function(){return this._structArray.float32[this._pos4+14]},r.textOffset1.get=function(){return this._structArray.float32[this._pos4+15]},r.collisionCircleDiameter.get=function(){return this._structArray.float32[this._pos4+16]},Object.defineProperties(e.prototype,r),e}(Qi);La.prototype.size=68;var Ca=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new La(this,t)},e}(ya);ii("SymbolInstanceArray",Ca);var Pa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getoffsetX=function(t){return this.float32[1*t+0]},e}(ma);ii("GlyphOffsetArray",Pa);var Oa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getx=function(t){return this.int16[3*t+0]},e.prototype.gety=function(t){return this.int16[3*t+1]},e.prototype.gettileUnitDistanceFromAnchor=function(t){return this.int16[3*t+2]},e}(xa);ii("SymbolLineVertexArray",Oa);var Ia=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0}};return r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+0]},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+2]},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+3]},Object.defineProperties(e.prototype,r),e}(Qi);Ia.prototype.size=8;var Da=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new Ia(this,t)},e}(ba);ii("FeatureIndexArray",Da);var za=ea([{name:"a_pos",components:2,type:"Int16"}],4).members,Ra=function(t){void 0===t&&(t=[]),this.segments=t};function Fa(t,e){return 256*(t=u(Math.floor(t),0,255))+u(Math.floor(e),0,255)}Ra.prototype.prepareSegment=function(t,e,r,n){var i=this.segments[this.segments.length-1];return t>Ra.MAX_VERTEX_ARRAY_LENGTH&&w("Max vertices per segment is "+Ra.MAX_VERTEX_ARRAY_LENGTH+": bucket requested "+t),(!i||i.vertexLength+t>Ra.MAX_VERTEX_ARRAY_LENGTH||i.sortKey!==n)&&(i={vertexOffset:e.length,primitiveOffset:r.length,vertexLength:0,primitiveLength:0},void 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r,n,i,a,o,s,l,u;for(r=3&t.length,n=t.length-r,i=e,o=3432918353,s=461845907,u=0;u<n;)l=255&t.charCodeAt(u)|(255&t.charCodeAt(++u))<<8|(255&t.charCodeAt(++u))<<16|(255&t.charCodeAt(++u))<<24,++u,i=27492+(65535&(a=5*(65535&(i=(i^=l=(65535&(l=(l=(65535&l)*o+(((l>>>16)*o&65535)<<16)&4294967295)<<15|l>>>17))*s+(((l>>>16)*s&65535)<<16)&4294967295)<<13|i>>>19))+((5*(i>>>16)&65535)<<16)&4294967295))+(((a>>>16)+58964&65535)<<16);switch(l=0,r){case 3:l^=(255&t.charCodeAt(u+2))<<16;case 2:l^=(255&t.charCodeAt(u+1))<<8;case 1:i^=l=(65535&(l=(l=(65535&(l^=255&t.charCodeAt(u)))*o+(((l>>>16)*o&65535)<<16)&4294967295)<<15|l>>>17))*s+(((l>>>16)*s&65535)<<16)&4294967295}return i^=t.length,i=2246822507*(65535&(i^=i>>>16))+((2246822507*(i>>>16)&65535)<<16)&4294967295,i=3266489909*(65535&(i^=i>>>13))+((3266489909*(i>>>16)&65535)<<16)&4294967295,(i^=i>>>16)>>>0}}),ja=e(function(t){t.exports=function(t,e){for(var r,n=t.length,i=e^n,a=0;n>=4;)r=1540483477*(65535&(r=255&t.charCodeAt(a)|(255&t.charCodeAt(++a))<<8|(255&t.charCodeAt(++a))<<16|(255&t.charCodeAt(++a))<<24))+((1540483477*(r>>>16)&65535)<<16),i=1540483477*(65535&i)+((1540483477*(i>>>16)&65535)<<16)^(r=1540483477*(65535&(r^=r>>>24))+((1540483477*(r>>>16)&65535)<<16)),n-=4,++a;switch(n){case 3:i^=(255&t.charCodeAt(a+2))<<16;case 2:i^=(255&t.charCodeAt(a+1))<<8;case 1:i=1540483477*(65535&(i^=255&t.charCodeAt(a)))+((1540483477*(i>>>16)&65535)<<16)}return i=1540483477*(65535&(i^=i>>>13))+((1540483477*(i>>>16)&65535)<<16),(i^=i>>>15)>>>0}}),Ua=Na,Va=Na,Ha=ja;Ua.murmur3=Va,Ua.murmur2=Ha;var qa=function(){this.ids=[],this.positions=[],this.indexed=!1};qa.prototype.add=function(t,e,r,n){this.ids.push(Ya(t)),this.positions.push(e,r,n)},qa.prototype.getPositions=function(t){for(var e=Ya(t),r=0,n=this.ids.length-1;r<n;){var i=r+n>>1;this.ids[i]>=e?n=i:r=i+1}for(var a=[];this.ids[r]===e;){var 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t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){this.current!==t&&(this.current=t,this.gl.uniform1i(this.location,t))},e}(Xa),Ka=function(t){function e(e,r){t.call(this,e,r),this.current=0}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){this.current!==t&&(this.current=t,this.gl.uniform1f(this.location,t))},e}(Xa),$a=function(t){function e(e,r){t.call(this,e,r),this.current=[0,0]}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){t[0]===this.current[0]&&t[1]===this.current[1]||(this.current=t,this.gl.uniform2f(this.location,t[0],t[1]))},e}(Xa),Qa=function(t){function e(e,r){t.call(this,e,r),this.current=[0,0,0]}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){t[0]===this.current[0]&&t[1]===this.current[1]&&t[2]===this.current[2]||(this.current=t,this.gl.uniform3f(this.location,t[0],t[1],t[2]))},e}(Xa),to=function(t){function e(e,r){t.call(this,e,r),this.current=[0,0,0,0]}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){t[0]===this.current[0]&&t[1]===this.current[1]&&t[2]===this.current[2]&&t[3]===this.current[3]||(this.current=t,this.gl.uniform4f(this.location,t[0],t[1],t[2],t[3]))},e}(Xa),eo=function(t){function e(e,r){t.call(this,e,r),this.current=oe.transparent}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){t.r===this.current.r&&t.g===this.current.g&&t.b===this.current.b&&t.a===this.current.a||(this.current=t,this.gl.uniform4f(this.location,t.r,t.g,t.b,t.a))},e}(Xa),ro=new Float32Array(16),no=function(t){function e(e,r){t.call(this,e,r),this.current=ro}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){if(t[12]!==this.current[12]||t[0]!==this.current[0])return this.current=t,void this.gl.uniformMatrix4fv(this.location,!1,t);for(var e=1;e<16;e++)if(t[e]!==this.current[e]){this.current=t,this.gl.uniformMatrix4fv(this.location,!1,t);break}},e}(Xa);function io(t){return[Fa(255*t.r,255*t.g),Fa(255*t.b,255*t.a)]}var ao=function(t,e,r){this.value=t,this.uniformNames=e.map(function(t){return"u_"+t}),this.type=r};ao.prototype.setUniform=function(t,e,r){t.set(r.constantOr(this.value))},ao.prototype.getBinding=function(t,e,r){return"color"===this.type?new eo(t,e):new Ka(t,e)};var oo=function(t,e){this.uniformNames=e.map(function(t){return"u_"+t}),this.patternFrom=null,this.patternTo=null,this.pixelRatioFrom=1,this.pixelRatioTo=1};oo.prototype.setConstantPatternPositions=function(t,e){this.pixelRatioFrom=e.pixelRatio,this.pixelRatioTo=t.pixelRatio,this.patternFrom=e.tlbr,this.patternTo=t.tlbr},oo.prototype.setUniform=function(t,e,r,n){var i="u_pattern_to"===n?this.patternTo:"u_pattern_from"===n?this.patternFrom:"u_pixel_ratio_to"===n?this.pixelRatioTo:"u_pixel_ratio_from"===n?this.pixelRatioFrom:null;i&&t.set(i)},oo.prototype.getBinding=function(t,e,r){return"u_pattern"===r.substr(0,9)?new to(t,e):new Ka(t,e)};var so=function(t,e,r,n){this.expression=t,this.type=r,this.maxValue=0,this.paintVertexAttributes=e.map(function(t){return{name:"a_"+t,type:"Float32",components:"color"===r?2:1,offset:0}}),this.paintVertexArray=new n};so.prototype.populatePaintArray=function(t,e,r,n,i){var a=this.paintVertexArray.length,o=this.expression.evaluate(new zi(0),e,{},n,[],i);this.paintVertexArray.resize(t),this._setPaintValue(a,t,o)},so.prototype.updatePaintArray=function(t,e,r,n){var i=this.expression.evaluate({zoom:0},r,n);this._setPaintValue(t,e,i)},so.prototype._setPaintValue=function(t,e,r){if("color"===this.type)for(var n=io(r),i=t;i<e;i++)this.paintVertexArray.emplace(i,n[0],n[1]);else{for(var a=t;a<e;a++)this.paintVertexArray.emplace(a,r);this.maxValue=Math.max(this.maxValue,Math.abs(r))}},so.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},so.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()};var lo=function(t,e,r,n,i,a){this.expression=t,this.uniformNames=e.map(function(t){return"u_"+t+"_t"}),this.type=r,this.useIntegerZoom=n,this.zoom=i,this.maxValue=0,this.paintVertexAttributes=e.map(function(t){return{name:"a_"+t,type:"Float32",components:"color"===r?4:2,offset:0}}),this.paintVertexArray=new a};lo.prototype.populatePaintArray=function(t,e,r,n,i){var a=this.expression.evaluate(new zi(this.zoom),e,{},n,[],i),o=this.expression.evaluate(new zi(this.zoom+1),e,{},n,[],i),s=this.paintVertexArray.length;this.paintVertexArray.resize(t),this._setPaintValue(s,t,a,o)},lo.prototype.updatePaintArray=function(t,e,r,n){var i=this.expression.evaluate({zoom:this.zoom},r,n),a=this.expression.evaluate({zoom:this.zoom+1},r,n);this._setPaintValue(t,e,i,a)},lo.prototype._setPaintValue=function(t,e,r,n){if("color"===this.type)for(var i=io(r),a=io(n),o=t;o<e;o++)this.paintVertexArray.emplace(o,i[0],i[1],a[0],a[1]);else{for(var s=t;s<e;s++)this.paintVertexArray.emplace(s,r,n);this.maxValue=Math.max(this.maxValue,Math.abs(r),Math.abs(n))}},lo.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},lo.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()},lo.prototype.setUniform=function(t,e){var r=this.useIntegerZoom?Math.floor(e.zoom):e.zoom,n=u(this.expression.interpolationFactor(r,this.zoom,this.zoom+1),0,1);t.set(n)},lo.prototype.getBinding=function(t,e,r){return new Ka(t,e)};var uo=function(t,e,r,n,i,a){this.expression=t,this.type=e,this.useIntegerZoom=r,this.zoom=n,this.layerId=a,this.zoomInPaintVertexArray=new i,this.zoomOutPaintVertexArray=new i};uo.prototype.populatePaintArray=function(t,e,r){var n=this.zoomInPaintVertexArray.length;this.zoomInPaintVertexArray.resize(t),this.zoomOutPaintVertexArray.resize(t),this._setPaintValues(n,t,e.patterns&&e.patterns[this.layerId],r)},uo.prototype.updatePaintArray=function(t,e,r,n,i){this._setPaintValues(t,e,r.patterns&&r.patterns[this.layerId],i)},uo.prototype._setPaintValues=function(t,e,r,n){if(n&&r){var i=r.min,a=r.mid,o=r.max,s=n[i],l=n[a],u=n[o];if(s&&l&&u)for(var c=t;c<e;c++)this.zoomInPaintVertexArray.emplace(c,l.tl[0],l.tl[1],l.br[0],l.br[1],s.tl[0],s.tl[1],s.br[0],s.br[1],l.pixelRatio,s.pixelRatio),this.zoomOutPaintVertexArray.emplace(c,l.tl[0],l.tl[1],l.br[0],l.br[1],u.tl[0],u.tl[1],u.br[0],u.br[1],l.pixelRatio,u.pixelRatio)}},uo.prototype.upload=function(t){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=t.createVertexBuffer(this.zoomInPaintVertexArray,Ba.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=t.createVertexBuffer(this.zoomOutPaintVertexArray,Ba.members,this.expression.isStateDependent))},uo.prototype.destroy=function(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()};var co=function(t,e,r,n){this.binders={},this.layoutAttributes=n,this._buffers=[];var i=[];for(var a in 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To(Do(t,this.paint.get("fill-translate"),this.paint.get("fill-translate-anchor"),a.angle,o),n)},e.prototype.isTileClipped=function(){return!0},e}(Ki),Gs=ea([{name:"a_pos",components:2,type:"Int16"},{name:"a_normal_ed",components:4,type:"Int16"}],4).members,Ys=Ws;function Ws(t,e,r,n,i){this.properties={},this.extent=r,this.type=0,this._pbf=t,this._geometry=-1,this._keys=n,this._values=i,t.readFields(Zs,this,e)}function Zs(t,e,r){1==t?e.id=r.readVarint():2==t?function(t,e){for(var r=t.readVarint()+t.pos;t.pos<r;){var n=e._keys[t.readVarint()],i=e._values[t.readVarint()];e.properties[n]=i}}(r,e):3==t?e.type=r.readVarint():4==t&&(e._geometry=r.pos)}function Xs(t){for(var e,r,n=0,i=0,a=t.length,o=a-1;i<a;o=i++)e=t[i],n+=((r=t[o]).x-e.x)*(e.y+r.y);return n}Ws.types=["Unknown","Point","LineString","Polygon"],Ws.prototype.loadGeometry=function(){var t=this._pbf;t.pos=this._geometry;for(var e,r=t.readVarint()+t.pos,n=1,i=0,o=0,s=0,l=[];t.pos<r;){if(i<=0){var u=t.readVarint();n=7&u,i=u>>3}if(i--,1===n||2===n)o+=t.readSVarint(),s+=t.readSVarint(),1===n&&(e&&l.push(e),e=[]),e.push(new a(o,s));else{if(7!==n)throw new Error("unknown command "+n);e&&e.push(e[0].clone())}}return e&&l.push(e),l},Ws.prototype.bbox=function(){var t=this._pbf;t.pos=this._geometry;for(var e=t.readVarint()+t.pos,r=1,n=0,i=0,a=0,o=1/0,s=-1/0,l=1/0,u=-1/0;t.pos<e;){if(n<=0){var c=t.readVarint();r=7&c,n=c>>3}if(n--,1===r||2===r)(i+=t.readSVarint())<o&&(o=i),i>s&&(s=i),(a+=t.readSVarint())<l&&(l=a),a>u&&(u=a);else if(7!==r)throw new Error("unknown command "+r)}return[o,l,s,u]},Ws.prototype.toGeoJSON=function(t,e,r){var n,i,a=this.extent*Math.pow(2,r),o=this.extent*t,s=this.extent*e,l=this.loadGeometry(),u=Ws.types[this.type];function c(t){for(var e=0;e<t.length;e++){var r=t[e],n=180-360*(r.y+s)/a;t[e]=[360*(r.x+o)/a-180,360/Math.PI*Math.atan(Math.exp(n*Math.PI/180))-90]}}switch(this.type){case 1:var f=[];for(n=0;n<l.length;n++)f[n]=l[n][0];c(l=f);break;case 2:for(n=0;n<l.length;n++)c(l[n]);break;case 3:for(l=function(t){var e=t.length;if(e<=1)return[t];for(var r,n,i=[],a=0;a<e;a++){var o=Xs(t[a]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&i.push(r),r=[t[a]]):r.push(t[a]))}return r&&i.push(r),i}(l),n=0;n<l.length;n++)for(i=0;i<l[n].length;i++)c(l[n][i])}1===l.length?l=l[0]:u="Multi"+u;var h={type:"Feature",geometry:{type:u,coordinates:l},properties:this.properties};return"id"in this&&(h.id=this.id),h};var Js=Ks;function Ks(t,e){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=t,this._keys=[],this._values=[],this._features=[],t.readFields($s,this,e),this.length=this._features.length}function $s(t,e,r){15===t?e.version=r.readVarint():1===t?e.name=r.readString():5===t?e.extent=r.readVarint():2===t?e._features.push(r.pos):3===t?e._keys.push(r.readString()):4===t&&e._values.push(function(t){for(var e=null,r=t.readVarint()+t.pos;t.pos<r;){var n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}function Qs(t,e,r){if(3===t){var n=new Js(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Ks.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error("feature index out of bounds");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new Ys(this._pbf,e,this.extent,this._keys,this._values)};var tl={VectorTile:function(t,e){this.layers=t.readFields(Qs,{},e)},VectorTileFeature:Ys,VectorTileLayer:Js},el=tl.VectorTileFeature.types,rl=Math.pow(2,13);function nl(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*rl)+o,i*rl*2,a*rl*2,Math.round(s))}var il=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map(function(t){return t.id}),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new aa,this.indexArray=new va,this.programConfigurations=new fo(Gs,t.layers,t.zoom),this.segments=new Ra,this.stateDependentLayerIds=this.layers.filter(function(t){return t.isStateDependent()}).map(function(t){return t.id})};function al(t,e){return t.x===e.x&&(t.x<0||t.x>vo)||t.y===e.y&&(t.y<0||t.y>vo)}function ol(t){return t.every(function(t){return t.x<0})||t.every(function(t){return t.x>vo})||t.every(function(t){return t.y<0})||t.every(function(t){return t.y>vo})}il.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=Ns("fill-extrusion",this.layers,e);for(var n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.feature,s=a.id,l=a.index,u=a.sourceLayerIndex,c=this.layers[0]._featureFilter.needGeometry,f={type:o.type,id:s,properties:o.properties,geometry:c?mo(o):[]};if(this.layers[0]._featureFilter.filter(new zi(this.zoom),f,r)){var h={id:s,sourceLayerIndex:u,index:l,geometry:c?f.geometry:mo(o),properties:o.properties,type:o.type,patterns:{}};void 0!==o.id&&(h.id=o.id),this.hasPattern?this.features.push(js("fill-extrusion",this.layers,h,this.zoom,e)):this.addFeature(h,h.geometry,l,r,{}),e.featureIndex.insert(o,h.geometry,l,u,this.index,!0)}}},il.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.features;n<i.length;n+=1){var a=i[n],o=a.geometry;this.addFeature(a,o,a.index,e,r)}},il.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},il.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},il.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},il.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Gs),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},il.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},il.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=Fs(e,500);a<o.length;a+=1){for(var s=o[a],l=0,u=0,c=s;u<c.length;u+=1)l+=c[u].length;for(var f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),h=0,p=s;h<p.length;h+=1){var d=p[h];if(0!==d.length&&!ol(d))for(var v=0,g=0;g<d.length;g++){var y=d[g];if(g>=1){var m=d[g-1];if(!al(y,m)){f.vertexLength+4>Ra.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=y.sub(m)._perp()._unit(),b=m.dist(y);v+b>32768&&(v=0),nl(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,v),nl(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,v),v+=b,nl(this.layoutVertexArray,m.x,m.y,x.x,x.y,0,0,v),nl(this.layoutVertexArray,m.x,m.y,x.x,x.y,0,1,v);var _=f.vertexLength;this.indexArray.emplaceBack(_,_+2,_+1),this.indexArray.emplaceBack(_+1,_+2,_+3),f.vertexLength+=4,f.primitiveLength+=2}}}}if(f.vertexLength+l>Ra.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),"Polygon"===el[t.type]){for(var w=[],T=[],A=f.vertexLength,k=0,M=s;k<M.length;k+=1){var S=M[k];if(0!==S.length){S!==s[0]&&T.push(w.length/2);for(var E=0;E<S.length;E++){var L=S[E];nl(this.layoutVertexArray,L.x,L.y,0,0,1,1,0),w.push(L.x),w.push(L.y)}}}for(var C=as(w,T),P=0;P<C.length;P+=3)this.indexArray.emplaceBack(A+C[P],A+C[P+2],A+C[P+1]);f.primitiveLength+=C.length/3,f.vertexLength+=l}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},ii("FillExtrusionBucket",il,{omit:["layers","features"]});var sl={paint:new Xi({"fill-extrusion-opacity":new qi(Dt["paint_fill-extrusion"]["fill-extrusion-opacity"]),"fill-extrusion-color":new Gi(Dt["paint_fill-extrusion"]["fill-extrusion-color"]),"fill-extrusion-translate":new qi(Dt["paint_fill-extrusion"]["fill-extrusion-translate"]),"fill-extrusion-translate-anchor":new qi(Dt["paint_fill-extrusion"]["fill-extrusion-translate-anchor"]),"fill-extrusion-pattern":new Yi(Dt["paint_fill-extrusion"]["fill-extrusion-pattern"]),"fill-extrusion-height":new Gi(Dt["paint_fill-extrusion"]["fill-extrusion-height"]),"fill-extrusion-base":new Gi(Dt["paint_fill-extrusion"]["fill-extrusion-base"]),"fill-extrusion-vertical-gradient":new qi(Dt["paint_fill-extrusion"]["fill-extrusion-vertical-gradient"])})},ll=function(t){function e(e){t.call(this,e,sl)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new il(t)},e.prototype.queryRadius=function(){return Io(this.paint.get("fill-extrusion-translate"))},e.prototype.is3D=function(){return!0},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,o,s,l){var u=Do(t,this.paint.get("fill-extrusion-translate"),this.paint.get("fill-extrusion-translate-anchor"),o.angle,s),c=this.paint.get("fill-extrusion-height").evaluate(e,r),f=this.paint.get("fill-extrusion-base").evaluate(e,r),h=function(t,e,r,n){for(var i=[],o=0,s=t;o<s.length;o+=1){var l=s[o],u=[l.x,l.y,n,1];Ho(u,u,e),i.push(new a(u[0]/u[3],u[1]/u[3]))}return i}(u,l,0,0),p=function(t,e,r,n){for(var i=[],o=[],s=n[8]*e,l=n[9]*e,u=n[10]*e,c=n[11]*e,f=n[8]*r,h=n[9]*r,p=n[10]*r,d=n[11]*r,v=0,g=t;v<g.length;v+=1){for(var y=[],m=[],x=0,b=g[v];x<b.length;x+=1){var _=b[x],w=_.x,T=_.y,A=n[0]*w+n[4]*T+n[12],k=n[1]*w+n[5]*T+n[13],M=n[2]*w+n[6]*T+n[14],S=n[3]*w+n[7]*T+n[15],E=M+u,L=S+c,C=A+f,P=k+h,O=M+p,I=S+d,D=new a((A+s)/L,(k+l)/L);D.z=E/L,y.push(D);var z=new a(C/I,P/I);z.z=O/I,m.push(z)}i.push(y),o.push(m)}return[i,o]}(n,f,c,l);return function(t,e,r){var n=1/0;To(r,e)&&(n=cl(r,e[0]));for(var i=0;i<e.length;i++)for(var a=e[i],o=t[i],s=0;s<a.length-1;s++){var l=a[s],u=a[s+1],c=o[s],f=[l,u,o[s+1],c,l];_o(r,f)&&(n=Math.min(n,cl(r,f)))}return n!==1/0&&n}(p[0],p[1],h)},e}(Ki);function ul(t,e){return t.x*e.x+t.y*e.y}function cl(t,e){if(1===t.length){for(var r,n=0,i=e[n++];!r||i.equals(r);)if(!(r=e[n++]))return 1/0;for(;n<e.length;n++){var a=e[n],o=t[0],s=r.sub(i),l=a.sub(i),u=o.sub(i),c=ul(s,s),f=ul(s,l),h=ul(l,l),p=ul(u,s),d=ul(u,l),v=c*h-f*f,g=(h*p-f*d)/v,y=(c*d-f*p)/v,m=1-g-y,x=i.z*m+r.z*g+a.z*y;if(isFinite(x))return x}return 1/0}for(var b=1/0,_=0,w=e;_<w.length;_+=1){var T=w[_];b=Math.min(b,T.z)}return b}var fl=ea([{name:"a_pos_normal",components:2,type:"Int16"},{name:"a_data",components:4,type:"Uint8"}],4).members,hl=tl.VectorTileFeature.types,pl=Math.cos(Math.PI/180*37.5),dl=Math.pow(2,14)/.5,vl=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map(function(t){return t.id}),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.layoutVertexArray=new oa,this.indexArray=new va,this.programConfigurations=new fo(fl,t.layers,t.zoom),this.segments=new Ra,this.stateDependentLayerIds=this.layers.filter(function(t){return t.isStateDependent()}).map(function(t){return t.id})};vl.prototype.populate=function(t,e,r){this.hasPattern=Ns("line",this.layers,e);for(var n=this.layers[0].layout.get("line-sort-key"),i=[],a=0,o=t;a<o.length;a+=1){var s=o[a],l=s.feature,u=s.id,c=s.index,f=s.sourceLayerIndex,h=this.layers[0]._featureFilter.needGeometry,p={type:l.type,id:u,properties:l.properties,geometry:h?mo(l):[]};if(this.layers[0]._featureFilter.filter(new zi(this.zoom),p,r)){h||(p.geometry=mo(l));var d=n?n.evaluate(p,{},r):void 0,v={id:u,properties:l.properties,type:l.type,sourceLayerIndex:f,index:c,geometry:p.geometry,patterns:{},sortKey:d};i.push(v)}}n&&i.sort(function(t,e){return t.sortKey-e.sortKey});for(var g=0,y=i;g<y.length;g+=1){var m=y[g],x=m,b=x.geometry,_=x.index,w=x.sourceLayerIndex;if(this.hasPattern){var T=js("line",this.layers,m,this.zoom,e);this.patternFeatures.push(T)}else this.addFeature(m,b,_,r,{});var A=t[_].feature;e.featureIndex.insert(A,b,_,w,this.index)}},vl.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},vl.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.patternFeatures;n<i.length;n+=1){var a=i[n];this.addFeature(a,a.geometry,a.index,e,r)}},vl.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},vl.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},vl.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,fl),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},vl.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},vl.prototype.addFeature=function(t,e,r,n,i){for(var a=this.layers[0].layout,o=a.get("line-join").evaluate(t,{}),s=a.get("line-cap"),l=a.get("line-miter-limit"),u=a.get("line-round-limit"),c=0,f=e;c<f.length;c+=1){var h=f[c];this.addLine(h,t,o,s,l,u)}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},vl.prototype.addLine=function(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,e.properties&&e.properties.hasOwnProperty("mapbox_clip_start")&&e.properties.hasOwnProperty("mapbox_clip_end")){this.clipStart=+e.properties.mapbox_clip_start,this.clipEnd=+e.properties.mapbox_clip_end;for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance()}for(var s="Polygon"===hl[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var u=0;u<l-1&&t[u].equals(t[u+1]);)u++;if(!(l<(s?3:2))){"bevel"===r&&(i=1.05);var c,f=this.overscaling<=16?122880/(512*this.overscaling):0,h=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 0,d=void 0,v=void 0,g=void 0;this.e1=this.e2=-1,s&&(c=t[l-2],g=t[u].sub(c)._unit()._perp());for(var y=u;y<l;y++)if(!(d=y===l-1?s?t[u+1]:void 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I=Math.round(180*w/Math.PI/20),D=1;D<I;D++){var z=D/I;if(.5!==z){var R=z-.5;z+=z*R*(z-1)*((1.0904+x*(x*(3.55645-1.43519*x)-3.2452))*R*R+(.848013+x*(.215638*x-1.06021)))}var F=g.sub(v)._mult(z)._add(v)._unit()._mult(A?-1:1);this.addHalfVertex(c,F.x,F.y,!1,A,0,h)}d&&this.addCurrentVertex(c,g,-P,-O,h)}else if("butt"===E)this.addCurrentVertex(c,m,0,0,h);else if("square"===E){var B=p?1:-1;this.addCurrentVertex(c,m,B,B,h)}else"round"===E&&(p&&(this.addCurrentVertex(c,v,0,0,h),this.addCurrentVertex(c,v,1,1,h,!0)),d&&(this.addCurrentVertex(c,g,-1,-1,h,!0),this.addCurrentVertex(c,g,0,0,h)));if(T&&y<l-1){var N=c.dist(d);if(N>2*f){var j=c.add(d.sub(c)._mult(f/N)._round());this.updateDistance(c,j),this.addCurrentVertex(j,g,0,0,h),c=j}}}}},vl.prototype.addCurrentVertex=function(t,e,r,n,i,a){void 0===a&&(a=!1);var 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this.length=this.pos,this.pos=0,this.buf.subarray(0,this.length)},writeFixed32:function(t){this.realloc(4),Jl(this.buf,t,this.pos),this.pos+=4},writeSFixed32:function(t){this.realloc(4),Jl(this.buf,t,this.pos),this.pos+=4},writeFixed64:function(t){this.realloc(8),Jl(this.buf,-1&t,this.pos),Jl(this.buf,Math.floor(t*zl),this.pos+4),this.pos+=8},writeSFixed64:function(t){this.realloc(8),Jl(this.buf,-1&t,this.pos),Jl(this.buf,Math.floor(t*zl),this.pos+4),this.pos+=8},writeVarint:function(t){(t=+t||0)>268435455||t<0?function(t,e){var r,n;if(t>=0?(r=t%4294967296|0,n=t/4294967296|0):(n=~(-t/4294967296),4294967295^(r=~(-t%4294967296))?r=r+1|0:(r=0,n=n+1|0)),t>=0x10000000000000000||t<-0x10000000000000000)throw new Error("Given varint doesn't fit into 10 bytes");e.realloc(10),function(t,e,r){r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos]=127&t}(r,0,e),function(t,e){var r=(7&t)<<4;e.buf[e.pos++]|=r|((t>>>=3)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t)))))}(n,e)}(t,this):(this.realloc(4),this.buf[this.pos++]=127&t|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=t>>>7&127))))},writeSVarint:function(t){this.writeVarint(t<0?2*-t-1:2*t)},writeBoolean:function(t){this.writeVarint(Boolean(t))},writeString:function(t){t=String(t),this.realloc(4*t.length),this.pos++;var e=this.pos;this.pos=function(t,e,r){for(var n,i,a=0;a<e.length;a++){if((n=e.charCodeAt(a))>55295&&n<57344){if(!i){n>56319||a+1===e.length?(t[r++]=239,t[r++]=191,t[r++]=189):i=n;continue}if(n<56320){t[r++]=239,t[r++]=191,t[r++]=189,i=n;continue}n=i-55296<<10|n-56320|65536,i=null}else i&&(t[r++]=239,t[r++]=191,t[r++]=189,i=null);n<128?t[r++]=n:(n<2048?t[r++]=n>>6|192:(n<65536?t[r++]=n>>12|224:(t[r++]=n>>18|240,t[r++]=n>>12&63|128),t[r++]=n>>6&63|128),t[r++]=63&n|128)}return r}(this.buf,t,this.pos);var r=this.pos-e;r>=128&&Nl(e,r,this),this.pos=e-1,this.writeVarint(r),this.pos+=r},writeFloat:function(t){this.realloc(4),Pl(this.buf,t,this.pos,!0,23,4),this.pos+=4},writeDouble:function(t){this.realloc(8),Pl(this.buf,t,this.pos,!0,52,8),this.pos+=8},writeBytes:function(t){var e=t.length;this.writeVarint(e),this.realloc(e);for(var r=0;r<e;r++)this.buf[this.pos++]=t[r]},writeRawMessage:function(t,e){this.pos++;var r=this.pos;t(e,this);var n=this.pos-r;n>=128&&Nl(r,n,this),this.pos=r-1,this.writeVarint(n),this.pos+=n},writeMessage:function(t,e,r){this.writeTag(t,Il.Bytes),this.writeRawMessage(e,r)},writePackedVarint:function(t,e){e.length&&this.writeMessage(t,jl,e)},writePackedSVarint:function(t,e){e.length&&this.writeMessage(t,Ul,e)},writePackedBoolean:function(t,e){e.length&&this.writeMessage(t,ql,e)},writePackedFloat:function(t,e){e.length&&this.writeMessage(t,Vl,e)},writePackedDouble:function(t,e){e.length&&this.writeMessage(t,Hl,e)},writePackedFixed32:function(t,e){e.length&&this.writeMessage(t,Gl,e)},writePackedSFixed32:function(t,e){e.length&&this.writeMessage(t,Yl,e)},writePackedFixed64:function(t,e){e.length&&this.writeMessage(t,Wl,e)},writePackedSFixed64:function(t,e){e.length&&this.writeMessage(t,Zl,e)},writeBytesField:function(t,e){this.writeTag(t,Il.Bytes),this.writeBytes(e)},writeFixed32Field:function(t,e){this.writeTag(t,Il.Fixed32),this.writeFixed32(e)},writeSFixed32Field:function(t,e){this.writeTag(t,Il.Fixed32),this.writeSFixed32(e)},writeFixed64Field:function(t,e){this.writeTag(t,Il.Fixed64),this.writeFixed64(e)},writeSFixed64Field:function(t,e){this.writeTag(t,Il.Fixed64),this.writeSFixed64(e)},writeVarintField:function(t,e){this.writeTag(t,Il.Varint),this.writeVarint(e)},writeSVarintField:function(t,e){this.writeTag(t,Il.Varint),this.writeSVarint(e)},writeStringField:function(t,e){this.writeTag(t,Il.Bytes),this.writeString(e)},writeFloatField:function(t,e){this.writeTag(t,Il.Fixed32),this.writeFloat(e)},writeDoubleField:function(t,e){this.writeTag(t,Il.Fixed64),this.writeDouble(e)},writeBooleanField:function(t,e){this.writeVarintField(t,Boolean(e))}};function $l(t,e,r){1===t&&r.readMessage(Ql,e)}function Ql(t,e,r){if(3===t){var n=r.readMessage(tu,{}),i=n.id,a=n.bitmap,o=n.width,s=n.height,l=n.left,u=n.top,c=n.advance;e.push({id:i,bitmap:new Ko({width:o+6,height:s+6},a),metrics:{width:o,height:s,left:l,top:u,advance:c}})}}function tu(t,e,r){1===t?e.id=r.readVarint():2===t?e.bitmap=r.readBytes():3===t?e.width=r.readVarint():4===t?e.height=r.readVarint():5===t?e.left=r.readSVarint():6===t?e.top=r.readSVarint():7===t&&(e.advance=r.readVarint())}function eu(t){for(var e=0,r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];e+=a.w*a.h,r=Math.max(r,a.w)}t.sort(function(t,e){return e.h-t.h});for(var o=[{x:0,y:0,w:Math.max(Math.ceil(Math.sqrt(e/.95)),r),h:1/0}],s=0,l=0,u=0,c=t;u<c.length;u+=1)for(var f=c[u],h=o.length-1;h>=0;h--){var p=o[h];if(!(f.w>p.w||f.h>p.h)){if(f.x=p.x,f.y=p.y,l=Math.max(l,f.y+f.h),s=Math.max(s,f.x+f.w),f.w===p.w&&f.h===p.h){var d=o.pop();h<o.length&&(o[h]=d)}else f.h===p.h?(p.x+=f.w,p.w-=f.w):f.w===p.w?(p.y+=f.h,p.h-=f.h):(o.push({x:p.x+f.w,y:p.y,w:p.w-f.w,h:f.h}),p.y+=f.h,p.h-=f.h);break}}return{w:s,h:l,fill:e/(s*l)||0}}var ru=function(t,e){var r=e.pixelRatio,n=e.version,i=e.stretchX,a=e.stretchY,o=e.content;this.paddedRect=t,this.pixelRatio=r,this.stretchX=i,this.stretchY=a,this.content=o,this.version=n},nu={tl:{configurable:!0},br:{configurable:!0},tlbr:{configurable:!0},displaySize:{configurable:!0}};nu.tl.get=function(){return[this.paddedRect.x+1,this.paddedRect.y+1]},nu.br.get=function(){return[this.paddedRect.x+this.paddedRect.w-1,this.paddedRect.y+this.paddedRect.h-1]},nu.tlbr.get=function(){return this.tl.concat(this.br)},nu.displaySize.get=function(){return[(this.paddedRect.w-2)/this.pixelRatio,(this.paddedRect.h-2)/this.pixelRatio]},Object.defineProperties(ru.prototype,nu);var iu=function(t,e){var r={},n={};this.haveRenderCallbacks=[];var i=[];this.addImages(t,r,i),this.addImages(e,n,i);var a=eu(i),o=a.w,s=a.h,l=new $o({width:o||1,height:s||1});for(var u in t){var c=t[u],f=r[u].paddedRect;$o.copy(c.data,l,{x:0,y:0},{x:f.x+1,y:f.y+1},c.data)}for(var h in e){var p=e[h],d=n[h].paddedRect,v=d.x+1,g=d.y+1,y=p.data.width,m=p.data.height;$o.copy(p.data,l,{x:0,y:0},{x:v,y:g},p.data),$o.copy(p.data,l,{x:0,y:m-1},{x:v,y:g-1},{width:y,height:1}),$o.copy(p.data,l,{x:0,y:0},{x:v,y:g+m},{width:y,height:1}),$o.copy(p.data,l,{x:y-1,y:0},{x:v-1,y:g},{width:1,height:m}),$o.copy(p.data,l,{x:0,y:0},{x:v+y,y:g},{width:1,height:m})}this.image=l,this.iconPositions=r,this.patternPositions=n};iu.prototype.addImages=function(t,e,r){for(var n in t){var i=t[n],a={x:0,y:0,w:i.data.width+2,h:i.data.height+2};r.push(a),e[n]=new ru(a,i),i.hasRenderCallback&&this.haveRenderCallbacks.push(n)}},iu.prototype.patchUpdatedImages=function(t,e){for(var r in t.dispatchRenderCallbacks(this.haveRenderCallbacks),t.updatedImages)this.patchUpdatedImage(this.iconPositions[r],t.getImage(r),e),this.patchUpdatedImage(this.patternPositions[r],t.getImage(r),e)},iu.prototype.patchUpdatedImage=function(t,e,r){if(t&&e&&t.version!==e.version){t.version=e.version;var n=t.tl,i=n[0],a=n[1];r.update(e.data,void 0,{x:i,y:a})}},ii("ImagePosition",ru),ii("ImageAtlas",iu);var au={horizontal:1,vertical:2,horizontalOnly:3},ou=-17;var su=function(){this.scale=1,this.fontStack="",this.imageName=null};su.forText=function(t,e){var r=new su;return r.scale=t||1,r.fontStack=e,r},su.forImage=function(t){var e=new su;return e.imageName=t,e};var lu=function(){this.text="",this.sectionIndex=[],this.sections=[],this.imageSectionID=null};function uu(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=lu.fromFeature(t,i);f===au.vertical&&y.verticalizePunctuation();var m=Ii.processBidirectionalText,x=Ii.processStyledBidirectionalText;if(m&&1===y.sections.length){g=[];for(var b=0,_=m(y.toString(),yu(y,u,a,e,n,p,d));b<_.length;b+=1){var w=_[b],T=new lu;T.text=w,T.sections=y.sections;for(var A=0;A<w.length;A++)T.sectionIndex.push(0);g.push(T)}}else if(x){g=[];for(var k=0,M=x(y.text,y.sectionIndex,yu(y,u,a,e,n,p,d));k<M.length;k+=1){var S=M[k],E=new lu;E.text=S[0],E.sectionIndex=S[1],E.sections=y.sections,g.push(E)}}else g=function(t,e){for(var r=[],n=t.text,i=0,a=0,o=e;a<o.length;a+=1){var s=o[a];r.push(t.substring(i,s)),i=s}return i<n.length&&r.push(t.substring(i,n.length)),r}(y,yu(y,u,a,e,n,p,d));var L=[],C={positionedLines:L,text:y.toString(),top:c[1],bottom:c[1],left:c[0],right:c[0],writingMode:f,iconsInText:!1,verticalizable:!1};return function(t,e,r,n,i,a,o,s,l,u,c,f){for(var h=0,p=ou,d=0,v=0,g="right"===s?1:"left"===s?0:.5,y=0,m=0,x=i;m<x.length;m+=1){var b=x[m];b.trim();var _=b.getMaxScale(),w=(_-1)*Ll,T={positionedGlyphs:[],lineOffset:0};t.positionedLines[y]=T;var A=T.positionedGlyphs,k=0;if(b.length()){for(var M=0;M<b.length();M++){var S=b.getSection(M),E=b.getSectionIndex(M),L=b.getCharCode(M),C=0,P=null,O=null,I=null,D=Ll,z=!(l===au.horizontal||!c&&!vi(L)||c&&(cu[L]||yi(L)));if(S.imageName){var R=n[S.imageName];if(!R)continue;I=S.imageName,t.iconsInText=t.iconsInText||!0,O=R.paddedRect;var F=R.displaySize;S.scale=S.scale*Ll/f,P={width:F[0],height:F[1],left:1,top:-3,advance:z?F[1]:F[0]},C=w+(Ll-F[1]*S.scale),D=P.advance;var B=z?F[0]*S.scale-Ll*_:F[1]*S.scale-Ll*_;B>0&&B>k&&(k=B)}else{var N=r[S.fontStack],j=N&&N[L];if(j&&j.rect)O=j.rect,P=j.metrics;else{var U=e[S.fontStack],V=U&&U[L];if(!V)continue;P=V.metrics}C=(_-S.scale)*Ll}z?(t.verticalizable=!0,A.push({glyph:L,imageName:I,x:h,y:p+C,vertical:z,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:O}),h+=D*S.scale+u):(A.push({glyph:L,imageName:I,x:h,y:p+C,vertical:z,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:O}),h+=P.advance*S.scale+u)}if(0!==A.length){var H=h-u;d=Math.max(H,d),xu(A,0,A.length-1,g,k)}h=0;var q=a*_+k;T.lineOffset=Math.max(k,w),p+=q,v=Math.max(q,v),++y}else p+=a,++y}var G=p-ou,Y=mu(o),W=Y.horizontalAlign,Z=Y.verticalAlign;(function(t,e,r,n,i,a,o,s,l){var u=(e-r)*i,c=0;c=a!==o?-s*n-ou:(-n*l+.5)*o;for(var f=0,h=t;f<h.length;f+=1)for(var p=0,d=h[f].positionedGlyphs;p<d.length;p+=1){var v=d[p];v.x+=u,v.y+=c}})(t.positionedLines,g,W,Z,d,v,a,G,i.length),t.top+=-Z*G,t.bottom=t.top+G,t.left+=-W*d,t.right=t.left+d}(C,e,r,n,g,o,s,l,f,u,h,v),!function(t){for(var e=0,r=t;e<r.length;e+=1)if(0!==r[e].positionedGlyphs.length)return!1;return!0}(L)&&C}lu.fromFeature=function(t,e){for(var r=new lu,n=0;n<t.sections.length;n++){var i=t.sections[n];i.image?r.addImageSection(i):r.addTextSection(i,e)}return r},lu.prototype.length=function(){return this.text.length},lu.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},lu.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},lu.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},lu.prototype.verticalizePunctuation=function(){this.text=function(t){for(var e="",r=0;r<t.length;r++){var n=t.charCodeAt(r+1)||null,i=t.charCodeAt(r-1)||null;n&&gi(n)&&!El[t[r+1]]||i&&gi(i)&&!El[t[r-1]]||!El[t[r]]?e+=t[r]:e+=El[t[r]]}return e}(this.text)},lu.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&cu[this.text.charCodeAt(e)];e++)t++;for(var r=this.text.length,n=this.text.length-1;n>=0&&n>=t&&cu[this.text.charCodeAt(n)];n--)r--;this.text=this.text.substring(t,r),this.sectionIndex=this.sectionIndex.slice(t,r)},lu.prototype.substring=function(t,e){var r=new lu;return r.text=this.text.substring(t,e),r.sectionIndex=this.sectionIndex.slice(t,e),r.sections=this.sections,r},lu.prototype.toString=function(){return this.text},lu.prototype.getMaxScale=function(){var t=this;return this.sectionIndex.reduce(function(e,r){return Math.max(e,t.sections[r].scale)},0)},lu.prototype.addTextSection=function(t,e){this.text+=t.text,this.sections.push(su.forText(t.scale,t.fontStack||e));for(var r=this.sections.length-1,n=0;n<t.text.length;++n)this.sectionIndex.push(r)},lu.prototype.addImageSection=function(t){var e=t.image?t.image.name:"";if(0!==e.length){var r=this.getNextImageSectionCharCode();r?(this.text+=String.fromCharCode(r),this.sections.push(su.forImage(e)),this.sectionIndex.push(this.sections.length-1)):w("Reached maximum number of images 6401")}else w("Can't add FormattedSection with an empty image.")},lu.prototype.getNextImageSectionCharCode=function(){return this.imageSectionID?this.imageSectionID>=63743?null:++this.imageSectionID:(this.imageSectionID=57344,this.imageSectionID)};var cu={9:!0,10:!0,11:!0,12:!0,13:!0,32:!0},fu={};function hu(t,e,r,n,i,a){if(e.imageName){var o=n[e.imageName];return o?o.displaySize[0]*e.scale*Ll/a+i:0}var s=r[e.fontStack],l=s&&s[t];return 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Reduce your "text-size".'),t.addSymbols(t.text,g,m,l,o,s,c,e,u.lineStartIndex,u.lineLength,p,v);for(var x=0,b=f;x<b.length;x+=1)h[b[x]]=t.text.placedSymbolArray.length-1;return 4*g.length}function $u(t){for(var e in t)return t[e];return null}function Qu(t,e,r,n){var i=t.compareText;if(e in i){for(var a=i[e],o=a.length-1;o>=0;o--)if(n.dist(a[o])<r)return!0}else i[e]=[];return i[e].push(n),!1}var tc=tl.VectorTileFeature.types,ec=[{name:"a_fade_opacity",components:1,type:"Uint8",offset:0}];function rc(t,e,r,n,i,a,o,s,l,u,c,f,h){var p=s?Math.min(Ju,Math.round(s[0])):0,d=s?Math.min(Ju,Math.round(s[1])):0;t.emplaceBack(e,r,Math.round(32*n),Math.round(32*i),a,o,(p<<1)+(l?1:0),d,16*u,16*c,256*f,256*h)}function nc(t,e,r){t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r)}function ic(t){for(var e=0,r=t.sections;e<r.length;e+=1)if(bi(r[e].text))return!0;return!1}var ac=function(t){this.layoutVertexArray=new la,this.indexArray=new va,this.programConfigurations=t,this.segments=new Ra,this.dynamicLayoutVertexArray=new ua,this.opacityVertexArray=new ca,this.placedSymbolArray=new Ea};ac.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length&&0===this.indexArray.length&&0===this.dynamicLayoutVertexArray.length&&0===this.opacityVertexArray.length},ac.prototype.upload=function(t,e,r,n){this.isEmpty()||(r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,wl.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,Tl.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,ec,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t))},ac.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},ii("SymbolBuffers",ac);var oc=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new Ra,this.collisionVertexArray=new da};oc.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,Al.members,!0)},oc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},ii("CollisionBuffers",oc);var sc=function(t){this.collisionBoxArray=t.collisionBoxArray,this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map(function(t){return t.id}),this.index=t.index,this.pixelRatio=t.pixelRatio,this.sourceLayerIndex=t.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=Bo([]),this.placementViewportMatrix=Bo([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=Tu(this.zoom,e["text-size"]),this.iconSizeData=Tu(this.zoom,e["icon-size"]);var r=this.layers[0].layout,n=r.get("symbol-sort-key"),i=r.get("symbol-z-order");this.sortFeaturesByKey="viewport-y"!==i&&void 0!==n.constantOr(1);var a="viewport-y"===i||"auto"===i&&!this.sortFeaturesByKey;this.sortFeaturesByY=a&&(r.get("text-allow-overlap")||r.get("icon-allow-overlap")||r.get("text-ignore-placement")||r.get("icon-ignore-placement")),"point"===r.get("symbol-placement")&&(this.writingModes=r.get("text-writing-mode").map(function(t){return au[t]})),this.stateDependentLayerIds=this.layers.filter(function(t){return t.isStateDependent()}).map(function(t){return t.id}),this.sourceID=t.sourceID};sc.prototype.createArrays=function(){this.text=new ac(new fo(wl.members,this.layers,this.zoom,function(t){return/^text/.test(t)})),this.icon=new ac(new fo(wl.members,this.layers,this.zoom,function(t){return/^icon/.test(t)})),this.glyphOffsetArray=new Pa,this.lineVertexArray=new Oa,this.symbolInstances=new Ca},sc.prototype.calculateGlyphDependencies=function(t,e,r,n,i){for(var a=0;a<t.length;a++)if(e[t.charCodeAt(a)]=!0,(r||n)&&i){var o=El[t.charAt(a)];o&&(e[o.charCodeAt(0)]=!0)}},sc.prototype.populate=function(t,e,r){var n=this.layers[0],i=n.layout,a=i.get("text-font"),o=i.get("text-field"),s=i.get("icon-image"),l=("constant"!==o.value.kind||o.value.value instanceof ue&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&("constant"!==a.value.kind||a.value.value.length>0),u="constant"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,c=i.get("symbol-sort-key");if(this.features=[],l||u){for(var f=e.iconDependencies,h=e.glyphDependencies,p=e.availableImages,d=new zi(this.zoom),v=0,g=t;v<g.length;v+=1){var y=g[v],m=y.feature,x=y.id,b=y.index,_=y.sourceLayerIndex,w=n._featureFilter.needGeometry,T={type:m.type,id:x,properties:m.properties,geometry:w?mo(m):[]};if(n._featureFilter.filter(d,T,r)){w||(T.geometry=mo(m));var A=void 0;if(l){var k=n.getValueAndResolveTokens("text-field",T,r,p),M=ue.factory(k);ic(M)&&(this.hasRTLText=!0),(!this.hasRTLText||"unavailable"===Pi()||this.hasRTLText&&Ii.isParsed())&&(A=Sl(M,n,T))}var S=void 0;if(u){var E=n.getValueAndResolveTokens("icon-image",T,r,p);S=E instanceof ce?E:ce.fromString(E)}if(A||S){var L=this.sortFeaturesByKey?c.evaluate(T,{},r):void 0,C={id:x,text:A,icon:S,index:b,sourceLayerIndex:_,geometry:mo(m),properties:m.properties,type:tc[m.type],sortKey:L};if(this.features.push(C),S&&(f[S.name]=!0),A){var P=a.evaluate(T,{},r).join(","),O="map"===i.get("text-rotation-alignment")&&"point"!==i.get("symbol-placement");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(au.vertical)>=0;for(var I=0,D=A.sections;I<D.length;I+=1){var z=D[I];if(z.image)f[z.image.name]=!0;else{var R=hi(A.toString()),F=z.fontStack||P,B=h[F]=h[F]||{};this.calculateGlyphDependencies(z.text,B,O,this.allowVerticalPlacement,R)}}}}}}"line"===i.get("symbol-placement")&&(this.features=function(t){var e={},r={},n=[],i=0;function a(e){n.push(t[e]),i++}function o(t,e,i){var a=r[t];return delete r[t],r[e]=a,n[a].geometry[0].pop(),n[a].geometry[0]=n[a].geometry[0].concat(i[0]),a}function s(t,r,i){var a=e[r];return delete e[r],e[t]=a,n[a].geometry[0].shift(),n[a].geometry[0]=i[0].concat(n[a].geometry[0]),a}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+":"+n.x+":"+n.y}for(var u=0;u<t.length;u++){var c=t[u],f=c.geometry,h=c.text?c.text.toString():null;if(h){var p=l(h,f),d=l(h,f,!0);if(p in r&&d in e&&r[p]!==e[d]){var v=s(p,d,f),g=o(p,d,n[v].geometry);delete e[p],delete r[d],r[l(h,n[g].geometry,!0)]=g,n[v].geometry=null}else p in r?o(p,d,f):d in e?s(p,d,f):(a(u),e[p]=i-1,r[d]=i-1)}else a(u)}return n.filter(function(t){return t.geometry})}(this.features)),this.sortFeaturesByKey&&this.features.sort(function(t,e){return t.sortKey-e.sortKey})}},sc.prototype.update=function(t,e,r){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(t,e,this.layers,r),this.icon.programConfigurations.updatePaintArrays(t,e,this.layers,r))},sc.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},sc.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},sc.prototype.upload=function(t){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(t),this.iconCollisionBox.upload(t)),this.text.upload(t,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(t,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},sc.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},sc.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},sc.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),i=t.dist(e[t.segment]),a={},o=t.segment+1;o<e.length;o++)a[o]={x:e[o].x,y:e[o].y,tileUnitDistanceFromAnchor:n},o<e.length-1&&(n+=e[o+1].dist(e[o]));for(var s=t.segment||0;s>=0;s--)a[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:i},s>0&&(i+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var u=a[l];this.lineVertexArray.emplaceBack(u.x,u.y,u.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},sc.prototype.addSymbols=function(t,e,r,n,i,a,o,s,l,u,c,f){for(var h=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,h,a.sortKey),v=this.glyphOffsetArray.length,g=d.vertexLength,y=this.allowVerticalPlacement&&o===au.vertical?Math.PI/2:0,m=a.text&&a.text.sections,x=0;x<e.length;x++){var b=e[x],_=b.tl,w=b.tr,T=b.bl,A=b.br,k=b.tex,M=b.pixelOffsetTL,S=b.pixelOffsetBR,E=b.minFontScaleX,L=b.minFontScaleY,C=b.glyphOffset,P=b.isSDF,O=b.sectionIndex,I=d.vertexLength,D=C[1];rc(p,s.x,s.y,_.x,D+_.y,k.x,k.y,r,P,M.x,M.y,E,L),rc(p,s.x,s.y,w.x,D+w.y,k.x+k.w,k.y,r,P,S.x,M.y,E,L),rc(p,s.x,s.y,T.x,D+T.y,k.x,k.y+k.h,r,P,M.x,S.y,E,L),rc(p,s.x,s.y,A.x,D+A.y,k.x+k.w,k.y+k.h,r,P,S.x,S.y,E,L),nc(t.dynamicLayoutVertexArray,s,y),h.emplaceBack(I,I+1,I+2),h.emplaceBack(I+1,I+2,I+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(C[0]),x!==e.length-1&&O===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,a,a.index,{},f,m&&m[O])}t.placedSymbolArray.emplaceBack(s.x,s.y,v,this.glyphOffsetArray.length-v,g,l,u,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,c)},sc.prototype._addCollisionDebugVertex=function(t,e,r,n,i,a){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,i,Math.round(a.x),Math.round(a.y))},sc.prototype.addCollisionDebugVertices=function(t,e,r,n,i,o,s){var l=i.segments.prepareSegment(4,i.layoutVertexArray,i.indexArray),u=l.vertexLength,c=i.layoutVertexArray,f=i.collisionVertexArray,h=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(c,f,o,h,p,new a(t,e)),this._addCollisionDebugVertex(c,f,o,h,p,new a(r,e)),this._addCollisionDebugVertex(c,f,o,h,p,new a(r,n)),this._addCollisionDebugVertex(c,f,o,h,p,new a(t,n)),l.vertexLength+=4;var d=i.indexArray;d.emplaceBack(u,u+1),d.emplaceBack(u+1,u+2),d.emplaceBack(u+2,u+3),d.emplaceBack(u+3,u),l.primitiveLength+=4},sc.prototype.addDebugCollisionBoxes=function(t,e,r,n){for(var i=t;i<e;i++){var a=this.collisionBoxArray.get(i),o=a.x1,s=a.y1,l=a.x2,u=a.y2;this.addCollisionDebugVertices(o,s,l,u,n?this.textCollisionBox:this.iconCollisionBox,a.anchorPoint,r)}},sc.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new oc(ha,kl.members,_a),this.iconCollisionBox=new oc(ha,kl.members,_a);for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e,!1),this.addDebugCollisionBoxes(e.verticalIconBoxStartIndex,e.verticalIconBoxEndIndex,e,!1)}},sc.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,i,a,o,s,l){for(var u={},c=e;c<r;c++){var f=t.get(c);u.textBox={x1:f.x1,y1:f.y1,x2:f.x2,y2:f.y2,anchorPointX:f.anchorPointX,anchorPointY:f.anchorPointY},u.textFeatureIndex=f.featureIndex;break}for(var h=n;h<i;h++){var p=t.get(h);u.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},u.verticalTextFeatureIndex=p.featureIndex;break}for(var d=a;d<o;d++){var v=t.get(d);u.iconBox={x1:v.x1,y1:v.y1,x2:v.x2,y2:v.y2,anchorPointX:v.anchorPointX,anchorPointY:v.anchorPointY},u.iconFeatureIndex=v.featureIndex;break}for(var g=s;g<l;g++){var y=t.get(g);u.verticalIconBox={x1:y.x1,y1:y.y1,x2:y.x2,y2:y.y2,anchorPointX:y.anchorPointX,anchorPointY:y.anchorPointY},u.verticalIconFeatureIndex=y.featureIndex;break}return u},sc.prototype.deserializeCollisionBoxes=function(t){this.collisionArrays=[];for(var e=0;e<this.symbolInstances.length;e++){var r=this.symbolInstances.get(e);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(t,r.textBoxStartIndex,r.textBoxEndIndex,r.verticalTextBoxStartIndex,r.verticalTextBoxEndIndex,r.iconBoxStartIndex,r.iconBoxEndIndex,r.verticalIconBoxStartIndex,r.verticalIconBoxEndIndex))}},sc.prototype.hasTextData=function(){return this.text.segments.get().length>0},sc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},sc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},sc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},sc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},sc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i<n;i+=4)t.indexArray.emplaceBack(i,i+1,i+2),t.indexArray.emplaceBack(i+1,i+2,i+3)},sc.prototype.getSortedSymbolIndexes=function(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;for(var e=Math.sin(t),r=Math.cos(t),n=[],i=[],a=[],o=0;o<this.symbolInstances.length;++o){a.push(o);var s=this.symbolInstances.get(o);n.push(0|Math.round(e*s.anchorX+r*s.anchorY)),i.push(s.featureIndex)}return a.sort(function(t,e){return n[t]-n[e]||i[e]-i[t]}),a},sc.prototype.addToSortKeyRanges=function(t,e){var r=this.sortKeyRanges[this.sortKeyRanges.length-1];r&&r.sortKey===e?r.symbolInstanceEnd=t+1:this.sortKeyRanges.push({sortKey:e,symbolInstanceStart:t,symbolInstanceEnd:t+1})},sc.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r<n.length;r+=1){var i=n[r],a=this.symbolInstances.get(i);this.featureSortOrder.push(a.featureIndex),[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach(function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)}),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},ii("SymbolBucket",sc,{omit:["layers","collisionBoxArray","features","compareText"]}),sc.MAX_GLYPHS=65535,sc.addDynamicAttributes=nc;var lc=new Xi({"symbol-placement":new qi(Dt.layout_symbol["symbol-placement"]),"symbol-spacing":new qi(Dt.layout_symbol["symbol-spacing"]),"symbol-avoid-edges":new qi(Dt.layout_symbol["symbol-avoid-edges"]),"symbol-sort-key":new Gi(Dt.layout_symbol["symbol-sort-key"]),"symbol-z-order":new qi(Dt.layout_symbol["symbol-z-order"]),"icon-allow-overlap":new qi(Dt.layout_symbol["icon-allow-overlap"]),"icon-ignore-placement":new qi(Dt.layout_symbol["icon-ignore-placement"]),"icon-optional":new qi(Dt.layout_symbol["icon-optional"]),"icon-rotation-alignment":new qi(Dt.layout_symbol["icon-rotation-alignment"]),"icon-size":new Gi(Dt.layout_symbol["icon-size"]),"icon-text-fit":new qi(Dt.layout_symbol["icon-text-fit"]),"icon-text-fit-padding":new qi(Dt.layout_symbol["icon-text-fit-padding"]),"icon-image":new Gi(Dt.layout_symbol["icon-image"]),"icon-rotate":new Gi(Dt.layout_symbol["icon-rotate"]),"icon-padding":new qi(Dt.layout_symbol["icon-padding"]),"icon-keep-upright":new qi(Dt.layout_symbol["icon-keep-upright"]),"icon-offset":new Gi(Dt.layout_symbol["icon-offset"]),"icon-anchor":new Gi(Dt.layout_symbol["icon-anchor"]),"icon-pitch-alignment":new qi(Dt.layout_symbol["icon-pitch-alignment"]),"text-pitch-alignment":new qi(Dt.layout_symbol["text-pitch-alignment"]),"text-rotation-alignment":new qi(Dt.layout_symbol["text-rotation-alignment"]),"text-field":new Gi(Dt.layout_symbol["text-field"]),"text-font":new Gi(Dt.layout_symbol["text-font"]),"text-size":new Gi(Dt.layout_symbol["text-size"]),"text-max-width":new Gi(Dt.layout_symbol["text-max-width"]),"text-line-height":new qi(Dt.layout_symbol["text-line-height"]),"text-letter-spacing":new Gi(Dt.layout_symbol["text-letter-spacing"]),"text-justify":new Gi(Dt.layout_symbol["text-justify"]),"text-radial-offset":new Gi(Dt.layout_symbol["text-radial-offset"]),"text-variable-anchor":new qi(Dt.layout_symbol["text-variable-anchor"]),"text-anchor":new Gi(Dt.layout_symbol["text-anchor"]),"text-max-angle":new qi(Dt.layout_symbol["text-max-angle"]),"text-writing-mode":new qi(Dt.layout_symbol["text-writing-mode"]),"text-rotate":new Gi(Dt.layout_symbol["text-rotate"]),"text-padding":new qi(Dt.layout_symbol["text-padding"]),"text-keep-upright":new qi(Dt.layout_symbol["text-keep-upright"]),"text-transform":new Gi(Dt.layout_symbol["text-transform"]),"text-offset":new Gi(Dt.layout_symbol["text-offset"]),"text-allow-overlap":new qi(Dt.layout_symbol["text-allow-overlap"]),"text-ignore-placement":new qi(Dt.layout_symbol["text-ignore-placement"]),"text-optional":new qi(Dt.layout_symbol["text-optional"])}),uc={paint:new Xi({"icon-opacity":new Gi(Dt.paint_symbol["icon-opacity"]),"icon-color":new Gi(Dt.paint_symbol["icon-color"]),"icon-halo-color":new Gi(Dt.paint_symbol["icon-halo-color"]),"icon-halo-width":new Gi(Dt.paint_symbol["icon-halo-width"]),"icon-halo-blur":new Gi(Dt.paint_symbol["icon-halo-blur"]),"icon-translate":new qi(Dt.paint_symbol["icon-translate"]),"icon-translate-anchor":new qi(Dt.paint_symbol["icon-translate-anchor"]),"text-opacity":new Gi(Dt.paint_symbol["text-opacity"]),"text-color":new Gi(Dt.paint_symbol["text-color"],{runtimeType:Yt,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),"text-halo-color":new Gi(Dt.paint_symbol["text-halo-color"]),"text-halo-width":new Gi(Dt.paint_symbol["text-halo-width"]),"text-halo-blur":new Gi(Dt.paint_symbol["text-halo-blur"]),"text-translate":new qi(Dt.paint_symbol["text-translate"]),"text-translate-anchor":new qi(Dt.paint_symbol["text-translate-anchor"])}),layout:lc},cc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Vt,this.defaultValue=t};cc.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},cc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},cc.prototype.outputDefined=function(){return!1},cc.prototype.serialize=function(){return null},ii("FormatSectionOverride",cc,{omit:["defaultValue"]});var fc=function(t){function e(e){t.call(this,e,uc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),"auto"===this.layout.get("icon-rotation-alignment")&&("point"!==this.layout.get("symbol-placement")?this.layout._values["icon-rotation-alignment"]="map":this.layout._values["icon-rotation-alignment"]="viewport"),"auto"===this.layout.get("text-rotation-alignment")&&("point"!==this.layout.get("symbol-placement")?this.layout._values["text-rotation-alignment"]="map":this.layout._values["text-rotation-alignment"]="viewport"),"auto"===this.layout.get("text-pitch-alignment")&&(this.layout._values["text-pitch-alignment"]=this.layout.get("text-rotation-alignment")),"auto"===this.layout.get("icon-pitch-alignment")&&(this.layout._values["icon-pitch-alignment"]=this.layout.get("icon-rotation-alignment")),"point"===this.layout.get("symbol-placement")){var n=this.layout.get("text-writing-mode");if(n){for(var i=[],a=0,o=n;a<o.length;a+=1){var s=o[a];i.indexOf(s)<0&&i.push(s)}this.layout._values["text-writing-mode"]=i}else this.layout._values["text-writing-mode"]=["horizontal"]}this._setPaintOverrides()},e.prototype.getValueAndResolveTokens=function(t,e,r,n){var i=this.layout.get(t).evaluate(e,{},r,n),a=this._unevaluatedLayout._values[t];return a.isDataDriven()||ln(a.value)||!i?i:function(t,e){return e.replace(/{([^{}]+)}/g,function(e,r){return r in t?String(t[r]):""})}(e.properties,i)},e.prototype.createBucket=function(t){return new sc(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=uc.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var i,a=this.paint.get(n),o=new cc(a),s=new sn(o,a.property.specification);i="constant"===a.value.kind||"source"===a.value.kind?new cn("source",s):new fn("composite",s,a.value.zoomStops,a.value._interpolationType),this.paint._values[n]=new Vi(a.property,i,a.parameters)}}},e.prototype._handleOverridablePaintPropertyUpdate=function(t,r,n){return!(!this.layout||r.isDataDriven()||n.isDataDriven())&&e.hasPaintOverride(this.layout,t)},e.hasPaintOverride=function(t,e){var r=t.get("text-field"),n=uc.paint.properties[e],i=!1,a=function(t){for(var e=0,r=t;e<r.length;e+=1){var a=r[e];if(n.overrides&&n.overrides.hasOverride(a))return void(i=!0)}};if("constant"===r.value.kind&&r.value.value instanceof ue)a(r.value.value.sections);else if("source"===r.value.kind){var o=function(t){if(!i)if(t instanceof ve&&pe(t.value)===Jt){var e=t.value;a(e.sections)}else t instanceof xe?a(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return i},e}(Ki),hc={paint:new Xi({"background-color":new qi(Dt.paint_background["background-color"]),"background-pattern":new Wi(Dt.paint_background["background-pattern"]),"background-opacity":new qi(Dt.paint_background["background-opacity"])})},pc=function(t){function e(e){t.call(this,e,hc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ki),dc={paint:new Xi({"raster-opacity":new qi(Dt.paint_raster["raster-opacity"]),"raster-hue-rotate":new qi(Dt.paint_raster["raster-hue-rotate"]),"raster-brightness-min":new qi(Dt.paint_raster["raster-brightness-min"]),"raster-brightness-max":new qi(Dt.paint_raster["raster-brightness-max"]),"raster-saturation":new qi(Dt.paint_raster["raster-saturation"]),"raster-contrast":new qi(Dt.paint_raster["raster-contrast"]),"raster-resampling":new qi(Dt.paint_raster["raster-resampling"]),"raster-fade-duration":new qi(Dt.paint_raster["raster-fade-duration"])})},vc=function(t){function e(e){t.call(this,e,dc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ki);var gc=function(t){function e(e){t.call(this,e,{}),this.implementation=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.is3D=function(){return"3d"===this.implementation.renderingMode},e.prototype.hasOffscreenPass=function(){return void 0!==this.implementation.prerender},e.prototype.recalculate=function(){},e.prototype.updateTransitions=function(){},e.prototype.hasTransition=function(){},e.prototype.serialize=function(){},e.prototype.onAdd=function(t){this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},e.prototype.onRemove=function(t){this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},e}(Ki),yc={circle:Go,heatmap:es,hillshade:ns,fill:qs,"fill-extrusion":ll,line:bl,symbol:fc,background:pc,raster:vc};var mc=self.HTMLImageElement,xc=self.HTMLCanvasElement,bc=self.HTMLVideoElement,_c=self.ImageData,wc=self.ImageBitmap,Tc=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Tc.prototype.update=function(t,e,r){var n=t.width,i=t.height,a=!(this.size&&this.size[0]===n&&this.size[1]===i||r),o=this.context,s=o.gl;if(this.useMipmap=Boolean(e&&e.useMipmap),s.bindTexture(s.TEXTURE_2D,this.texture),o.pixelStoreUnpackFlipY.set(!1),o.pixelStoreUnpack.set(1),o.pixelStoreUnpackPremultiplyAlpha.set(this.format===s.RGBA&&(!e||!1!==e.premultiply)),a)this.size=[n,i],t instanceof mc||t instanceof xc||t instanceof bc||t instanceof _c||wc&&t instanceof wc?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,i,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},u=l.x,c=l.y;t instanceof mc||t instanceof xc||t instanceof bc||t instanceof _c||wc&&t instanceof wc?s.texSubImage2D(s.TEXTURE_2D,0,u,c,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,u,c,n,i,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Tc.prototype.bind=function(t,e,r){var n=this.context.gl;n.bindTexture(n.TEXTURE_2D,this.texture),r!==n.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(r=n.LINEAR),t!==this.filter&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,t),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,r||t),this.filter=t),e!==this.wrap&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,e),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,e),this.wrap=e)},Tc.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Tc.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var Ac=function(t){var e=this;this._callback=t,this._triggered=!1,"undefined"!=typeof MessageChannel&&(this._channel=new MessageChannel,this._channel.port2.onmessage=function(){e._triggered=!1,e._callback()})};Ac.prototype.trigger=function(){var t=this;this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout(function(){t._triggered=!1,t._callback()},0))},Ac.prototype.remove=function(){delete this._channel,this._callback=function(){}};var kc=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},g(["receive","process"],this),this.invoker=new Ac(this.process),this.target.addEventListener("message",this.receive,!1),this.globalScope=k()?t:self};function Mc(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return[t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}kc.prototype.send=function(t,e,r,n,i){var a=this;void 0===i&&(i=!1);var o=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[o]=r);var s=E(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:i,sourceMapId:this.mapId,data:li(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:"<cancel>",targetMapId:n,sourceMapId:a.mapId})}}},kc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if("<cancel>"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else k()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},kc.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},kc.prototype.processTask=function(t,e){var r=this;if("<response>"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(ui(e.error)):n(null,ui(e.data)))}else{var i=!1,a=E(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:"<response>",sourceMapId:r.mapId,error:e?li(e):null,data:li(n,a)},a)}:function(t){i=!0},s=null,l=ui(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var u=e.type.split(".");s=this.parent.getWorkerSource(e.sourceMapId,u[0],l.source)[u[1]](l,o)}else o(new Error("Could not find function "+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},kc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener("message",this.receive,!1)};var Sc=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Sc.prototype.setNorthEast=function(t){return this._ne=t instanceof Lc?new Lc(t.lng,t.lat):Lc.convert(t),this},Sc.prototype.setSouthWest=function(t){return this._sw=t instanceof Lc?new Lc(t.lng,t.lat):Lc.convert(t),this},Sc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Lc)e=t,r=t;else{if(!(t instanceof Sc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Sc.convert(a))}var o=t;return this.extend(Lc.convert(o))}return this}if(e=t._sw,r=t._ne,!e||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new Lc(e.lng,e.lat),this._ne=new Lc(r.lng,r.lat)),this},Sc.prototype.getCenter=function(){return new Lc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Sc.prototype.getSouthWest=function(){return this._sw},Sc.prototype.getNorthEast=function(){return this._ne},Sc.prototype.getNorthWest=function(){return new Lc(this.getWest(),this.getNorth())},Sc.prototype.getSouthEast=function(){return new Lc(this.getEast(),this.getSouth())},Sc.prototype.getWest=function(){return this._sw.lng},Sc.prototype.getSouth=function(){return this._sw.lat},Sc.prototype.getEast=function(){return this._ne.lng},Sc.prototype.getNorth=function(){return this._ne.lat},Sc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Sc.prototype.toString=function(){return"LngLatBounds("+this._sw.toString()+", "+this._ne.toString()+")"},Sc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Sc.prototype.contains=function(t){var e=Lc.convert(t),r=e.lng,n=e.lat,i=this._sw.lat<=n&&n<=this._ne.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a},Sc.convert=function(t){return!t||t instanceof Sc?t:new Sc(t)};var Ec=6371008.8,Lc=function(t,e){if(isNaN(t)||isNaN(e))throw new Error("Invalid LngLat object: ("+t+", "+e+")");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error("Invalid LngLat latitude value: must be between -90 and 90")};Lc.prototype.wrap=function(){return new Lc(c(this.lng,-180,180),this.lat)},Lc.prototype.toArray=function(){return[this.lng,this.lat]},Lc.prototype.toString=function(){return"LngLat("+this.lng+", "+this.lat+")"},Lc.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return Ec*Math.acos(Math.min(i,1))},Lc.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Sc(new Lc(this.lng-r,this.lat-e),new Lc(this.lng+r,this.lat+e))},Lc.convert=function(t){if(t instanceof Lc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Lc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&"object"==typeof t&&null!==t)return new Lc(Number("lng"in t?t.lng:t.lon),Number(t.lat));throw new Error("`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]")};var Cc=2*Math.PI*Ec;function Pc(t){return Cc*Math.cos(t*Math.PI/180)}function Oc(t){return(180+t)/360}function Ic(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Dc(t,e){return t/Pc(e)}function zc(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var Rc=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};Rc.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Lc.convert(t);return new Rc(Oc(r.lng),Ic(r.lat),Dc(e,r.lat))},Rc.prototype.toLngLat=function(){return new Lc(360*this.x-180,zc(this.y))},Rc.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Pc(zc(e));var t,e},Rc.prototype.meterInMercatorCoordinateUnits=function(){return 1/Cc*(t=zc(this.y),1/Math.cos(t*Math.PI/180));var t};var Fc=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=jc(0,t,t,e,r)};Fc.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},Fc.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Mc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Mc(256*(r+1),256*(n+1),i),a[0]+","+a[1]+","+o[0]+","+o[1]),l=function(t,e,r){for(var n,i="",a=t;a>0;a--)i+=(e&(n=1<<a-1)?1:0)+(r&n?2:0);return i}(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace("{prefix}",(this.x%16).toString(16)+(this.y%16).toString(16)).replace("{z}",String(this.z)).replace("{x}",String(this.x)).replace("{y}",String("tms"===e?Math.pow(2,this.z)-this.y-1:this.y)).replace("{quadkey}",l).replace("{bbox-epsg-3857}",s)},Fc.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new a((t.x*e-this.x)*vo,(t.y*e-this.y)*vo)},Fc.prototype.toString=function(){return this.z+"/"+this.x+"/"+this.y};var Bc=function(t,e){this.wrap=t,this.canonical=e,this.key=jc(t,e.z,e.z,e.x,e.y)},Nc=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new Fc(r,+n,+i),this.key=jc(e,t,r,n,i)};function jc(t,e,r,n,i){(t*=2)<0&&(t=-1*t-1);var a=1<<r;return(a*a*t+a*i+n).toString(36)+r.toString(36)+e.toString(36)}Nc.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},Nc.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new Nc(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Nc(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Nc.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?jc(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):jc(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},Nc.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ<this.overscaledZ&&t.canonical.x===this.canonical.x>>e&&t.canonical.y===this.canonical.y>>e},Nc.prototype.children=function(t){if(this.overscaledZ>=t)return[new Nc(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new Nc(e,this.wrap,e,r,n),new Nc(e,this.wrap,e,r+1,n),new Nc(e,this.wrap,e,r,n+1),new Nc(e,this.wrap,e,r+1,n+1)]},Nc.prototype.isLessThan=function(t){return this.wrap<t.wrap||!(this.wrap>t.wrap)&&(this.overscaledZ<t.overscaledZ||!(this.overscaledZ>t.overscaledZ)&&(this.canonical.x<t.canonical.x||!(this.canonical.x>t.canonical.x)&&this.canonical.y<t.canonical.y))},Nc.prototype.wrapped=function(){return new Nc(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},Nc.prototype.unwrapTo=function(t){return new Nc(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},Nc.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},Nc.prototype.toUnwrapped=function(){return new Bc(this.wrap,this.canonical)},Nc.prototype.toString=function(){return this.overscaledZ+"/"+this.canonical.x+"/"+this.canonical.y},Nc.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new Rc(t.x-this.wrap,t.y))},ii("CanonicalTileID",Fc),ii("OverscaledTileID",Nc,{omit:["posMatrix"]});var Uc=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError("DEM tiles must be square");if(r&&"mapbox"!==r&&"terrarium"!==r)return w('"'+r+'" is not a valid encoding type. Valid types include "mapbox" and "terrarium".');this.stride=e.height;var n=this.dim=e.height-2;this.data=new Uint32Array(e.data.buffer),this.encoding=r||"mapbox";for(var i=0;i<n;i++)this.data[this._idx(-1,i)]=this.data[this._idx(0,i)],this.data[this._idx(n,i)]=this.data[this._idx(n-1,i)],this.data[this._idx(i,-1)]=this.data[this._idx(i,0)],this.data[this._idx(i,n)]=this.data[this._idx(i,n-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(n,-1)]=this.data[this._idx(n-1,0)],this.data[this._idx(-1,n)]=this.data[this._idx(0,n-1)],this.data[this._idx(n,n)]=this.data[this._idx(n-1,n-1)]};Uc.prototype.get=function(t,e){var r=new Uint8Array(this.data.buffer),n=4*this._idx(t,e);return("terrarium"===this.encoding?this._unpackTerrarium:this._unpackMapbox)(r[n],r[n+1],r[n+2])},Uc.prototype.getUnpackVector=function(){return"terrarium"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},Uc.prototype._idx=function(t,e){if(t<-1||t>=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError("out of range source coordinates for DEM data");return(e+1)*this.stride+(t+1)},Uc.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Uc.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Uc.prototype.getPixels=function(){return new $o({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Uc.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error("dem dimension mismatch");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,u=a;u<o;u++)for(var c=n;c<i;c++)this.data[this._idx(c,u)]=t.data[this._idx(c+s,u+l)]},ii("DEMData",Uc);var Vc=function(t){this._stringToNumber={},this._numberToString=[];for(var e=0;e<t.length;e++){var r=t[e];this._stringToNumber[r]=e,this._numberToString[e]=r}};Vc.prototype.encode=function(t){return this._stringToNumber[t]},Vc.prototype.decode=function(t){return this._numberToString[t]};var Hc=function(t,e,r,n,i){this.type="Feature",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,this.id=i},qc={geometry:{configurable:!0}};qc.geometry.get=function(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},qc.geometry.set=function(t){this._geometry=t},Hc.prototype.toJSON=function(){var t={geometry:this.geometry};for(var e in this)"_geometry"!==e&&"_vectorTileFeature"!==e&&(t[e]=this[e]);return t},Object.defineProperties(Hc.prototype,qc);var Gc=function(){this.state={},this.stateChanges={},this.deletedStates={}};Gc.prototype.updateState=function(t,e,r){var n=String(e);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][n]=this.stateChanges[t][n]||{},f(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var i in this.deletedStates[t]={},this.state[t])i!==n&&(this.deletedStates[t][i]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var a in this.deletedStates[t][n]={},this.state[t][n])r[a]||(this.deletedStates[t][n][a]=null);else for(var o in r)this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]},Gc.prototype.removeFeatureState=function(t,e,r){if(null!==this.deletedStates[t]){var n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e)if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null;else this.deletedStates[t]=null}},Gc.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},i=this.stateChanges[t]||{},a=f({},n[r],i[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var o=this.deletedStates[t][e];if(null===o)return{};for(var s in o)delete a[s]}return a},Gc.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},Gc.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var i={};for(var a in this.stateChanges[n])this.state[n][a]||(this.state[n][a]={}),f(this.state[n][a],this.stateChanges[n][a]),i[a]=this.state[n][a];r[n]=i}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var u in this.deletedStates[o]){if(null===this.deletedStates[o][u])this.state[o][u]={};else for(var c=0,h=Object.keys(this.deletedStates[o][u]);c<h.length;c+=1){var p=h[c];delete this.state[o][u][p]}s[u]=this.state[o][u]}r[o]=r[o]||{},f(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t)t[d].setFeatureState(r,e)};var Yc=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new $n(vo,16,0),this.grid3D=new $n(vo,16,0),this.featureIndexArray=new Da,this.promoteId=e};function Wc(t,e,r,n,i){return m(t,function(t,a){var o=e instanceof Hi?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o})}function Zc(t){for(var e=1/0,r=1/0,n=-1/0,i=-1/0,a=0,o=t;a<o.length;a+=1){var s=o[a];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),i=Math.max(i,s.y)}return{minX:e,minY:r,maxX:n,maxY:i}}function Xc(t,e){return e-t}Yc.prototype.insert=function(t,e,r,n,i,a){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,i);for(var s=a?this.grid3D:this.grid,l=0;l<e.length;l++){for(var u=e[l],c=[1/0,1/0,-1/0,-1/0],f=0;f<u.length;f++){var h=u[f];c[0]=Math.min(c[0],h.x),c[1]=Math.min(c[1],h.y),c[2]=Math.max(c[2],h.x),c[3]=Math.max(c[3],h.y)}c[0]<vo&&c[1]<vo&&c[2]>=0&&c[3]>=0&&s.insert(o,c[0],c[1],c[2],c[3])}},Yc.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new tl.VectorTile(new Ol(this.rawTileData)).layers,this.sourceLayerCoder=new Vc(this.vtLayers?Object.keys(this.vtLayers).sort():["_geojsonTileLayer"])),this.vtLayers},Yc.prototype.query=function(t,e,r,n){var i=this;this.loadVTLayers();for(var o=t.params||{},s=vo/t.tileSize/t.scale,l=Tn(o.filter),u=t.queryGeometry,c=t.queryPadding*s,f=Zc(u),h=this.grid.query(f.minX-c,f.minY-c,f.maxX+c,f.maxY+c),p=Zc(t.cameraQueryGeometry),d=0,v=this.grid3D.query(p.minX-c,p.minY-c,p.maxX+c,p.maxY+c,function(e,r,n,i){return function(t,e,r,n,i){for(var o=0,s=t;o<s.length;o+=1){var l=s[o];if(e<=l.x&&r<=l.y&&n>=l.x&&i>=l.y)return!0}var u=[new a(e,r),new a(e,i),new a(n,i),new a(n,r)];if(t.length>2)for(var c=0,f=u;c<f.length;c+=1)if(Co(t,f[c]))return!0;for(var h=0;h<t.length-1;h++)if(Po(t[h],t[h+1],u))return!0;return!1}(t.cameraQueryGeometry,e-c,r-c,n+c,i+c)});d<v.length;d+=1){var g=v[d];h.push(g)}h.sort(Xc);for(var y,m={},x=function(a){var c=h[a];if(c!==y){y=c;var f=i.featureIndexArray.get(c),p=null;i.loadMatchingFeature(m,f.bucketIndex,f.sourceLayerIndex,f.featureIndex,l,o.layers,o.availableImages,e,r,n,function(e,r,n){return p||(p=mo(e)),r.queryIntersectsFeature(u,e,n,p,i.z,t.transform,s,t.pixelPosMatrix)})}},b=0;b<h.length;b++)x(b);return m},Yc.prototype.loadMatchingFeature=function(t,e,r,n,i,a,o,s,l,u,c){var f=this.bucketLayerIDs[e];if(!a||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),p=this.vtLayers[h].feature(n);if(i.filter(new zi(this.tileID.overscaledZ),p))for(var d=this.getId(p,h),v=0;v<f.length;v++){var g=f[v];if(!(a&&a.indexOf(g)<0)){var y=s[g];if(y){var m={};void 0!==d&&u&&(m=u.getState(y.sourceLayer||"_geojsonTileLayer",d));var x=l[g];x.paint=Wc(x.paint,y.paint,p,m,o),x.layout=Wc(x.layout,y.layout,p,m,o);var b=!c||c(p,y,m);if(b){var _=new Hc(p,this.z,this.x,this.y,d);_.layer=x;var w=t[g];void 0===w&&(w=t[g]=[]),w.push({featureIndex:n,feature:_,intersectionZ:b})}}}}}},Yc.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a,o,s){var l={};this.loadVTLayers();for(var u=Tn(i),c=0,f=t;c<f.length;c+=1){var h=f[c];this.loadMatchingFeature(l,r,n,h,u,a,o,s,e)}return l},Yc.prototype.hasLayer=function(t){for(var e=0,r=this.bucketLayerIDs;e<r.length;e+=1)for(var n=0,i=r[e];n<i.length;n+=1)if(t===i[n])return!0;return!1},Yc.prototype.getId=function(t,e){var r=t.id;if(this.promoteId){var n="string"==typeof this.promoteId?this.promoteId:this.promoteId[e];"boolean"==typeof(r=t.properties[n])&&(r=Number(r))}return r},ii("FeatureIndex",Yc,{omit:["rawTileData","sourceLayerCoder"]});var Jc=function(t,e){this.tileID=t,this.uid=p(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state="loading"};Jc.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<F.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},Jc.prototype.wasRequested=function(){return"errored"===this.state||"loaded"===this.state||"reloading"===this.state},Jc.prototype.loadVectorData=function(t,e,r){if(this.hasData()&&this.unloadVectorData(),this.state="loaded",t){for(var n in t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){var r={};if(!e)return r;for(var n=function(){var t=a[i],n=t.layerIds.map(function(t){return e.getLayer(t)}).filter(Boolean);if(0!==n.length){t.layers=n,t.stateDependentLayerIds&&(t.stateDependentLayers=t.stateDependentLayerIds.map(function(t){return n.filter(function(e){return e.id===t})[0]}));for(var o=0,s=n;o<s.length;o+=1){var l=s[o];r[l.id]=t}}},i=0,a=t;i<a.length;i+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var i=this.buckets[n];if(i instanceof sc){if(this.hasSymbolBuckets=!0,!r)break;i.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(var a in this.buckets){var o=this.buckets[a];if(o instanceof sc&&o.hasRTLText){this.hasRTLText=!0,Di();break}}for(var s in this.queryPadding=0,this.buckets){var l=this.buckets[s];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(s).queryRadius(l))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new Ma},Jc.prototype.unloadVectorData=function(){for(var t in this.buckets)this.buckets[t].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state="unloaded"},Jc.prototype.getBucket=function(t){return this.buckets[t.id]},Jc.prototype.upload=function(t){for(var e in this.buckets){var r=this.buckets[e];r.uploadPending()&&r.upload(t)}var n=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new Tc(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Tc(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},Jc.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},Jc.prototype.queryRenderedFeatures=function(t,e,r,n,i,a,o,s,l,u){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:u,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},Jc.prototype.querySourceFeatures=function(t,e){var r=this.latestFeatureIndex;if(r&&r.rawTileData){var n=r.loadVTLayers(),i=e?e.sourceLayer:"",a=n._geojsonTileLayer||n[i];if(a)for(var o=Tn(e&&e.filter),s=this.tileID.canonical,l=s.z,u=s.x,c=s.y,f={z:l,x:u,y:c},h=0;h<a.length;h++){var p=a.feature(h);if(o.filter(new zi(this.tileID.overscaledZ),p)){var d=r.getId(p,i),v=new Hc(p,l,u,c,d);v.tile=f,t.push(v)}}}},Jc.prototype.hasData=function(){return"loaded"===this.state||"reloading"===this.state||"expired"===this.state},Jc.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},Jc.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=M(t.cacheControl);r["max-age"]&&(this.expirationTime=Date.now()+1e3*r["max-age"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),i=!1;if(this.expirationTime>n)i=!1;else if(e)if(this.expirationTime<e)i=!0;else{var a=this.expirationTime-e;a?this.expirationTime=n+Math.max(a,3e4):i=!0}else i=!0;i?(this.expiredRequestCount++,this.state="expired"):this.expiredRequestCount=0}},Jc.prototype.getExpiryTimeout=function(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-(new Date).getTime(),Math.pow(2,31)-1)},Jc.prototype.setFeatureState=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData&&0!==Object.keys(t).length){var r=this.latestFeatureIndex.loadVTLayers();for(var n in this.buckets)if(e.style.hasLayer(n)){var i=this.buckets[n],a=i.layers[0].sourceLayer||"_geojsonTileLayer",o=r[a],s=t[a];if(o&&s&&0!==Object.keys(s).length){i.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});var l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(i)))}}}},Jc.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},Jc.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<F.now()},Jc.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},Jc.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=F.now()+t},Jc.prototype.setDependencies=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1)r[i[n]]=!0;this.dependencies[t]=r},Jc.prototype.hasDependency=function(t,e){for(var r=0,n=t;r<n.length;r+=1){var i=n[r],a=this.dependencies[i];if(a)for(var o=0,s=e;o<s.length;o+=1)if(a[s[o]])return!0}return!1};var Kc=self.performance,$c=function(t){this._marks={start:[t.url,"start"].join("#"),end:[t.url,"end"].join("#"),measure:t.url.toString()},Kc.mark(this._marks.start)};$c.prototype.finish=function(){Kc.mark(this._marks.end);var t=Kc.getEntriesByName(this._marks.measure);return 0===t.length&&(Kc.measure(this._marks.measure,this._marks.start,this._marks.end),t=Kc.getEntriesByName(this._marks.measure),Kc.clearMarks(this._marks.start),Kc.clearMarks(this._marks.end),Kc.clearMeasures(this._marks.measure)),t},t.Actor=kc,t.AlphaImage=Ko,t.CanonicalTileID=Fc,t.CollisionBoxArray=Ma,t.Color=oe,t.DEMData=Uc,t.DataConstantProperty=qi,t.DictionaryCoder=Vc,t.EXTENT=vo,t.ErrorEvent=Ot,t.EvaluationParameters=zi,t.Event=Pt,t.Evented=It,t.FeatureIndex=Yc,t.FillBucket=Us,t.FillExtrusionBucket=il,t.ImageAtlas=iu,t.ImagePosition=ru,t.LineBucket=vl,t.LngLat=Lc,t.LngLatBounds=Sc,t.MercatorCoordinate=Rc,t.ONE_EM=Ll,t.OverscaledTileID=Nc,t.Point=a,t.Point$1=a,t.Properties=Xi,t.Protobuf=Ol,t.RGBAImage=$o,t.RequestManager=q,t.RequestPerformance=$c,t.ResourceType=mt,t.SegmentVector=Ra,t.SourceFeatureState=Gc,t.StructArrayLayout1ui2=wa,t.StructArrayLayout2f1f2i16=pa,t.StructArrayLayout2i4=na,t.StructArrayLayout3ui6=va,t.StructArrayLayout4i8=ia,t.SymbolBucket=sc,t.Texture=Tc,t.Tile=Jc,t.Transitionable=Bi,t.Uniform1f=Ka,t.Uniform1i=Ja,t.Uniform2f=$a,t.Uniform3f=Qa,t.Uniform4f=to,t.UniformColor=eo,t.UniformMatrix4f=no,t.UnwrappedTileID=Bc,t.ValidationError=zt,t.WritingMode=au,t.ZoomHistory=ci,t.add=function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t},t.addDynamicAttributes=nc,t.asyncAll=function(t,e,r){if(!t.length)return r(null,[]);var n=t.length,i=new Array(t.length),a=null;t.forEach(function(t,o){e(t,function(t,e){t&&(a=t),i[o]=e,0===--n&&r(a,i)})})},t.bezier=s,t.bindAll=g,t.browser=F,t.cacheEntryPossiblyAdded=function(t){++gt>ct&&(t.getActor().send("enforceCacheSizeLimit",ut),gt=0)},t.clamp=u,t.clearTileCache=function(t){var e=self.caches.delete(lt);t&&e.catch(t).then(function(){return t()})},t.clipLine=Du,t.clone=function(t){var e=new Fo(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e},t.clone$1=b,t.clone$2=function(t){var e=new Fo(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=Ml,t.config=B,t.create=function(){var t=new Fo(16);return Fo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0),t[0]=1,t[5]=1,t[10]=1,t[15]=1,t},t.create$1=function(){var t=new Fo(9);return Fo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[5]=0,t[6]=0,t[7]=0),t[0]=1,t[4]=1,t[8]=1,t},t.create$2=function(){var t=new Fo(4);return Fo!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t},t.createCommonjsModule=e,t.createExpression=un,t.createLayout=ea,t.createStyleLayer=function(t){return"custom"===t.type?new gc(t):new yc[t.type](t)},t.cross=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=r[0],s=r[1],l=r[2];return t[0]=i*l-a*s,t[1]=a*o-n*l,t[2]=n*s-i*o,t},t.deepEqual=function t(e,r){if(Array.isArray(e)){if(!Array.isArray(r)||e.length!==r.length)return!1;for(var n=0;n<e.length;n++)if(!t(e[n],r[n]))return!1;return!0}if("object"==typeof e&&null!==e&&null!==r){if("object"!=typeof r)return!1;if(Object.keys(e).length!==Object.keys(r).length)return!1;for(var i in e)if(!t(e[i],r[i]))return!1;return!0}return 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n=this._geoJSONIndex.getTile(r.z,r.x,r.y);if(!n)return e(null,null);var i=new g(n.features),a=_(i);0===a.byteOffset&&a.byteLength===a.buffer.byteLength||(a=new Uint8Array(a)),e(null,{vectorTile:i,rawData:a.buffer})}V.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,i=e.maxZoom,a=e.nodeSize;r&&console.time("total time");var o="prepare "+t.length+" points";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(q(t[l],l));this.trees[i+1]=new j(s,J,K,a,Float32Array),r&&console.timeEnd(o);for(var u=i;u>=n;u--){var c=+Date.now();s=this._cluster(s,u),this.trees[u]=new j(s,J,K,a,Float32Array),r&&console.log("z%d: %d clusters in %dms",u,s.length,+Date.now()-c)}return r&&console.timeEnd("total time"),this},V.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],u=[],c=0,f=l.range(W(r),Z(a),W(i),Z(n));c<f.length;c+=1){var h=f[c],p=l.points[h];u.push(p.numPoints?G(p):this.points[p.index])}return u},V.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),n="No cluster with the specified id.",i=this.trees[r];if(!i)throw new Error(n);var a=i.points[e];if(!a)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,u=i.within(a.x,a.y,o);l<u.length;l+=1){var c=u[l],f=i.points[c];f.parentId===t&&s.push(f.numPoints?G(f):this.points[f.index])}if(0===s.length)throw new Error(n);return s},V.prototype.getLeaves=function(t,e,r){e=e||10,r=r||0;var n=[];return this._appendLeaves(n,t,e,r,0),n},V.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),a=this.options,o=a.extent,s=a.radius/o,l=(r-s)/i,u=(r+1+s)/i,c={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,u),n.points,e,r,i,c),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,u),n.points,i,r,i,c),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,u),n.points,-1,r,i,c),c.features.length?c:null},V.prototype.getClusterExpansionZoom=function(t){for(var e=this._getOriginZoom(t)-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},V.prototype._appendLeaves=function(t,e,r,n,i){for(var a=0,o=this.getChildren(e);a<o.length;a+=1){var s=o[a],l=s.properties;if(l&&l.cluster?i+l.point_count<=n?i+=l.point_count:i=this._appendLeaves(t,l.cluster_id,r,n,i):i<n?i++:t.push(s),t.length===r)break}return i},V.prototype._addTileFeatures=function(t,e,r,n,i,a){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],u=l.numPoints,c={type:1,geometry:[[Math.round(this.options.extent*(l.x*i-r)),Math.round(this.options.extent*(l.y*i-n))]],tags:u?Y(l):this.points[l.index].properties},f=void 0;u?f=l.id:this.options.generateId?f=l.index:this.points[l.index].id&&(f=this.points[l.index].id),void 0!==f&&(c.id=f),a.features.push(c)}},V.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(t,this.options.maxZoom+1))},V.prototype._cluster=function(t,e){for(var r=[],n=this.options,i=n.radius,a=n.extent,o=n.reduce,s=i/(a*Math.pow(2,e)),l=0;l<t.length;l++){var u=t[l];if(!(u.zoom<=e)){u.zoom=e;for(var c=this.trees[e+1],f=c.within(u.x,u.y,s),h=u.numPoints||1,p=u.x*h,d=u.y*h,v=o&&h>1?this._map(u,!0):null,g=(l<<5)+(e+1)+this.points.length,y=0,m=f;y<m.length;y+=1){var x=m[y],b=c.points[x];if(!(b.zoom<=e)){b.zoom=e;var _=b.numPoints||1;p+=b.x*_,d+=b.y*_,h+=_,b.parentId=g,o&&(v||(v=this._map(u,!0)),o(v,this._map(b)))}}1===h?r.push(u):(u.parentId=g,r.push(H(p/h,d/h,g,h,v)))}}return r},V.prototype._getOriginId=function(t){return t-this.points.length>>5},V.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},V.prototype._map=function(t,e){if(t.numPoints)return e?X({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?X({},n):n},Tt.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},Tt.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,u=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var c=1<<e,f=At(e,r,n),h=this.tiles[f];if(!h&&(u>1&&console.time("creation"),h=this.tiles[f]=bt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),u)){u>1&&(console.log("tile z%d-%d-%d (features: %d, points: %d, simplified: %d)",e,r,n,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd("creation"));var p="z"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<<i-e;if(r!==Math.floor(a/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||h.numPoints<=l.indexMaxPoints)continue;if(h.source=null,0!==t.length){u>1&&console.time("clipping");var v,g,y,m,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,A=1+_;v=g=y=m=null,x=lt(t,c,r-_,r+T,0,h.minX,h.maxX,l),b=lt(t,c,r+w,r+A,0,h.minX,h.maxX,l),t=null,x&&(v=lt(x,c,n-_,n+T,1,h.minY,h.maxY,l),g=lt(x,c,n+w,n+A,1,h.minY,h.maxY,l),x=null),b&&(y=lt(b,c,n-_,n+T,1,h.minY,h.maxY,l),m=lt(b,c,n+w,n+A,1,h.minY,h.maxY,l),b=null),u>1&&console.timeEnd("clipping"),s.push(v||[],e+1,2*r,2*n),s.push(g||[],e+1,2*r,2*n+1),s.push(y||[],e+1,2*r+1,2*n),s.push(m||[],e+1,2*r+1,2*n+1)}}},Tt.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<<t,s=At(t,e=(e%o+o)%o,r);if(this.tiles[s])return mt(this.tiles[s],i);a>1&&console.log("drilling down to z%d-%d-%d",t,e,r);for(var l,u=t,c=e,f=r;!l&&u>0;)u--,c=Math.floor(c/2),f=Math.floor(f/2),l=this.tiles[At(u,c,f)];return l&&l.source?(a>1&&console.log("found parent tile z%d-%d-%d",u,c,f),a>1&&console.time("drilling down"),this.splitTile(l.source,u,c,f,t,e,r),a>1&&console.timeEnd("drilling down"),this.tiles[s]?mt(this.tiles[s],i):null):null};var Mt=function(e){function r(t,r,n,i){e.call(this,t,r,n,kt),i&&(this.loadGeoJSON=i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&"Idle"!==this._state?this._state="NeedsLoadData":(this._state="Coalescing",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,function(a,o){if(a||!o)return r(a);if("object"!=typeof o)return r(new Error("Input data given to '"+n.source+"' is not a valid GeoJSON object."));f(o,!0);try{e._geoJSONIndex=n.cluster?new V(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),u=0,c=l;u<c.length;u+=1){var f=c[u],h=n[f],p=h[0],d=h[1],v=t.createExpression(d),g=t.createExpression("string"==typeof p?[p,["accumulated"],["get",f]]:p);i[f]=v.value,a[f]=g.value}return r.map=function(t){s.properties=t;for(var e={},r=0,n=l;r<n.length;r+=1){var a=n[r];e[a]=i[a].evaluate(o,s)}return e},r.reduce=function(t,e){s.properties=e;for(var r=0,n=l;r<n.length;r+=1){var i=n[r];o.accumulated=t[i],t[i]=a[i].evaluate(o,s)}},r}(n)).load(o.features):function(t,e){return new Tt(t,e)}(o,n.geojsonVtOptions)}catch(a){return r(a)}e.loaded={};var s={};if(i){var l=i.finish();l&&(s.resourceTiming={},s.resourceTiming[n.source]=JSON.parse(JSON.stringify(l)))}r(null,s)})}},r.prototype.coalesce=function(){"Coalescing"===this._state?this._state="Idle":"NeedsLoadData"===this._state&&(this._state="Coalescing",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded,i=t.uid;return n&&n[i]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if("string"!=typeof e.data)return r(new Error("Input data given to '"+e.source+"' is not a valid GeoJSON object."));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error("Input data given to '"+e.source+"' is not a valid GeoJSON object."))}}},r.prototype.removeSource=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),e()},r.prototype.getClusterExpansionZoom=function(t,e){try{e(null,this._geoJSONIndex.getClusterExpansionZoom(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterChildren=function(t,e){try{e(null,this._geoJSONIndex.getChildren(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterLeaves=function(t,e){try{e(null,this._geoJSONIndex.getLeaves(t.clusterId,t.limit,t.offset))}catch(t){e(t)}},r}(l);var St=function(e){var r=this;this.self=e,this.actor=new t.Actor(e,this),this.layerIndexes={},this.availableImages={},this.workerSourceTypes={vector:l,geojson:Mt},this.workerSources={},this.demWorkerSources={},this.self.registerWorkerSource=function(t,e){if(r.workerSourceTypes[t])throw new Error('Worker source with name "'+t+'" already registered.');r.workerSourceTypes[t]=e},this.self.registerRTLTextPlugin=function(e){if(t.plugin.isParsed())throw new Error("RTL text plugin already registered.");t.plugin.applyArabicShaping=e.applyArabicShaping,t.plugin.processBidirectionalText=e.processBidirectionalText,t.plugin.processStyledBidirectionalText=e.processStyledBidirectionalText}};return St.prototype.setReferrer=function(t,e){this.referrer=e},St.prototype.setImages=function(t,e,r){for(var n in this.availableImages[t]=e,this.workerSources[t]){var i=this.workerSources[t][n];for(var a in 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Object support":"insufficient Function support":"insufficent Array support":"not a browser";var r}t.exports?t.exports=e:window&&(window.mapboxgl=window.mapboxgl||{},window.mapboxgl.supported=e,window.mapboxgl.notSupportedReason=r);var n={};e.webGLContextAttributes={antialias:!1,alpha:!0,stencil:!0,depth:!0}}),r={create:function(e,r,n){var i=t.window.document.createElement(e);return void 0!==r&&(i.className=r),n&&n.appendChild(i),i},createNS:function(e,r){return t.window.document.createElementNS(e,r)}},n=t.window.document.documentElement.style;function i(t){if(!n)return t[0];for(var e=0;e<t.length;e++)if(t[e]in n)return t[e];return t[0]}var a,o=i(["userSelect","MozUserSelect","WebkitUserSelect","msUserSelect"]);r.disableDrag=function(){n&&o&&(a=n[o],n[o]="none")},r.enableDrag=function(){n&&o&&(n[o]=a)};var s=i(["transform","WebkitTransform"]);r.setTransform=function(t,e){t.style[s]=e};var l=!1;try{var u=Object.defineProperty({},"passive",{get:function(){l=!0}});t.window.addEventListener("test",u,u),t.window.removeEventListener("test",u,u)}catch(t){l=!1}r.addEventListener=function(t,e,r,n){void 0===n&&(n={}),"passive"in n&&l?t.addEventListener(e,r,n):t.addEventListener(e,r,n.capture)},r.removeEventListener=function(t,e,r,n){void 0===n&&(n={}),"passive"in n&&l?t.removeEventListener(e,r,n):t.removeEventListener(e,r,n.capture)};var c=function(e){e.preventDefault(),e.stopPropagation(),t.window.removeEventListener("click",c,!0)};function f(t){var e=t.userImage;return!!(e&&e.render&&e.render())&&(t.data.replace(new Uint8Array(e.data.buffer)),!0)}r.suppressClick=function(){t.window.addEventListener("click",c,!0),t.window.setTimeout(function(){t.window.removeEventListener("click",c,!0)},0)},r.mousePos=function(e,r){var n=e.getBoundingClientRect();return new t.Point(r.clientX-n.left-e.clientLeft,r.clientY-n.top-e.clientTop)},r.touchPos=function(e,r){for(var 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r=this.images[t];e.version=r.version+1,this.images[t]=e,this.updatedImages[t]=!0},r.prototype.removeImage=function(t){var e=this.images[t];delete this.images[t],delete this.patterns[t],e.userImage&&e.userImage.onRemove&&e.userImage.onRemove()},r.prototype.listImages=function(){return Object.keys(this.images)},r.prototype.getImages=function(t,e){var r=!0;if(!this.isLoaded())for(var n=0,i=t;n<i.length;n+=1){var a=i[n];this.images[a]||(r=!1)}this.isLoaded()||r?this._notify(t,e):this.requestors.push({ids:t,callback:e})},r.prototype._notify=function(e,r){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i];this.images[o]||this.fire(new t.Event("styleimagemissing",{id:o}));var s=this.images[o];s?n[o]={data:s.data.clone(),pixelRatio:s.pixelRatio,sdf:s.sdf,version:s.version,stretchX:s.stretchX,stretchY:s.stretchY,content:s.content,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image "'+o+'" could not be loaded. Please make sure you have added the image with map.addImage() or a "sprite" property in your style. You can provide missing images by listening for the "styleimagemissing" map event.')}r(null,n)},r.prototype.getPixelSize=function(){var t=this.atlasImage;return{width:t.width,height:t.height}},r.prototype.getPattern=function(e){var r=this.patterns[e],n=this.getImage(e);if(!n)return null;if(r&&r.position.version===n.version)return r.position;if(r)r.position.version=n.version;else{var i={w:n.data.width+2,h:n.data.height+2,x:0,y:0},a=new t.ImagePosition(i,n);this.patterns[e]={bin:i,position:a}}return this._updatePatternAtlas(),this.patterns[e].position},r.prototype.bind=function(e){var r=e.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new t.Texture(e,this.atlasImage,r.RGBA),this.atlasTexture.bind(r.LINEAR,r.CLAMP_TO_EDGE)},r.prototype._updatePatternAtlas=function(){var e=[];for(var r in this.patterns)e.push(this.patterns[r].bin);var n=t.potpack(e),i=n.w,a=n.h,o=this.atlasImage;for(var s in o.resize({width:i||1,height:a||1}),this.patterns){var l=this.patterns[s].bin,u=l.x+1,c=l.y+1,f=this.images[s].data,h=f.width,p=f.height;t.RGBAImage.copy(f,o,{x:0,y:0},{x:u,y:c},{width:h,height:p}),t.RGBAImage.copy(f,o,{x:0,y:p-1},{x:u,y:c-1},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:u,y:c+p},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:h-1,y:0},{x:u-1,y:c},{width:1,height:p}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:u+h,y:c},{width:1,height:p})}this.dirty=!0},r.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},r.prototype.dispatchRenderCallbacks=function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!this.callbackDispatchedThisFrame[n]){this.callbackDispatchedThisFrame[n]=!0;var i=this.images[n];f(i)&&this.updateImage(n,i)}}},r}(t.Evented);var p=g,d=g,v=1e20;function g(t,e,r,n,i,a){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=i||"sans-serif",this.fontWeight=a||"normal",this.radius=r||8;var o=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement("canvas"),this.canvas.width=this.canvas.height=o,this.ctx=this.canvas.getContext("2d"),this.ctx.font=this.fontWeight+" "+this.fontSize+"px "+this.fontFamily,this.ctx.textBaseline="middle",this.ctx.fillStyle="black",this.gridOuter=new Float64Array(o*o),this.gridInner=new Float64Array(o*o),this.f=new Float64Array(o),this.d=new Float64Array(o),this.z=new Float64Array(o+1),this.v=new Int16Array(o),this.middle=Math.round(o/2*(navigator.userAgent.indexOf("Gecko/")>=0?1.2:1))}function y(t,e,r,n,i,a,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(m(n,i,a,o,r),l=0;l<r;l++)t[l*e+s]=i[l]}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(m(n,i,a,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(i[s])}}function m(t,e,r,n,i){r[0]=0,n[0]=-v,n[1]=+v;for(var a=1,o=0;a<i;a++){for(var s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);s<=n[o];)o--,s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);r[++o]=a,n[o]=s,n[o+1]=+v}for(a=0,o=0;a<i;a++){for(;n[o+1]<a;)o++;e[a]=(a-r[o])*(a-r[o])+t[r[o]]}}g.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),r=new Uint8ClampedArray(this.size*this.size),n=0;n<this.size*this.size;n++){var i=e.data[4*n+3]/255;this.gridOuter[n]=1===i?0:0===i?v:Math.pow(Math.max(0,.5-i),2),this.gridInner[n]=1===i?v:0===i?0:Math.pow(Math.max(0,i-.5),2)}for(y(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),y(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++){var a=this.gridOuter[n]-this.gridInner[n];r[n]=Math.max(0,Math.min(255,Math.round(255-255*(a/this.radius+this.cutoff))))}return r},p.default=d;var x=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};x.prototype.setURL=function(t){this.url=t},x.prototype.getGlyphs=function(e,r){var n=this,i=[];for(var a in e)for(var o=0,s=e[a];o<s.length;o+=1){var l=s[o];i.push({stack:a,id:l})}t.asyncAll(i,function(t,e){var r=t.stack,i=t.id,a=n.entries[r];a||(a=n.entries[r]={glyphs:{},requests:{},ranges:{}});var o=a.glyphs[i];if(void 0===o){if(o=n._tinySDF(a,r,i))return a.glyphs[i]=o,void e(null,{stack:r,id:i,glyph:o});var s=Math.floor(i/256);if(256*s>65535)e(new Error("glyphs > 65535 not supported"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i<o.length;i+=1)(0,o[i])(t,e);delete a.requests[s]})),l.push(function(t,n){t?e(t):n&&e(null,{stack:r,id:i,glyph:n[i]||null})})}}else e(null,{stack:r,id:i,glyph:o})},function(t,e){if(t)r(t);else if(e){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.stack,l=o.id,u=o.glyph;(n[s]||(n[s]={}))[l]=u&&{id:u.id,bitmap:u.bitmap.clone(),metrics:u.metrics}}r(null,n)}})},x.prototype._doesCharSupportLocalGlyph=function(e){return!!this.localIdeographFontFamily&&(t.isChar["CJK Unified Ideographs"](e)||t.isChar["Hangul Syllables"](e)||t.isChar.Hiragana(e)||t.isChar.Katakana(e))},x.prototype._tinySDF=function(e,r,n){var i=this.localIdeographFontFamily;if(i&&this._doesCharSupportLocalGlyph(n)){var a=e.tinySDF;if(!a){var o="400";/bold/i.test(r)?o="900":/medium/i.test(r)?o="500":/light/i.test(r)&&(o="200"),a=e.tinySDF=new x.TinySDF(24,3,8,.25,i,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},a.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,i,a){var o=256*r,s=o+255,l=i.transformRequest(i.normalizeGlyphsURL(n).replace("{fontstack}",e).replace("{range}",o+"-"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,function(e,r){if(e)a(e);else if(r){for(var n={},i=0,o=t.parseGlyphPBF(r);i<o.length;i+=1){var s=o[i];n[s.id]=s}a(null,n)}})},x.TinySDF=p;var b=function(){this.specification=t.styleSpec.light.position};b.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},b.prototype.interpolate=function(e,r,n){return{x:t.number(e.x,r.x,n),y:t.number(e.y,r.y,n),z:t.number(e.z,r.z,n)}};var _=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new b,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),w="-transition",T=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(_),this.setLight(r),this._transitioning=this._transitionable.untransitioned()}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getLight=function(){return this._transitionable.serialize()},r.prototype.setLight=function(e,r){if(void 0===r&&(r={}),!this._validate(t.validateLight,e,r))for(var n in e){var i=e[n];t.endsWith(n,w)?this._transitionable.setTransition(n.slice(0,-11),i):this._transitionable.setValue(n,i)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),A=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};A.prototype.getDash=function(t,e){var r=t.join(",")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]},A.prototype.getDashRanges=function(t,e,r){var n=[],i=t.length%2==1?-t[t.length-1]*r:0,a=t[0]*r,o=!0;n.push({left:i,right:a,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){o=!o;var u=t[l];i=s*r,a=(s+=u)*r,n.push({left:i,right:a,isDash:o,zeroLength:0===u})}return n},A.prototype.addRoundDash=function(t,e,r){for(var n=e/2,i=-r;i<=r;i++)for(var a=this.nextRow+r+i,o=this.width*a,s=0,l=t[s],u=0;u<this.width;u++){u/l.right>1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=void 0,d=i/r*(n+1);if(l.isDash){var v=n-Math.abs(d);p=Math.sqrt(h*h+v*v)}else p=n-Math.sqrt(h*h+d*d);this.data[o+u]=Math.max(0,Math.min(255,p+128))}},A.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],u=0;u<this.width;u++){u/l.right>1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=l.isDash?h:-h;this.data[o+u]=Math.max(0,Math.min(255,p+128))}},A.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce("LineAtlas out of space"),null;for(var a=0,o=0;o<e.length;o++)a+=e[o];if(0!==a){var s=this.width/a,l=this.getDashRanges(e,this.width,s);r?this.addRoundDash(l,s,n):this.addRegularDash(l)}var u={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,u},A.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))};var k=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var i=this.workerPool.acquire(this.id),a=0;a<i.length;a++){var o=i[a],s=new e.Actor(o,n,this.id);s.name="Worker "+a,this.actors.push(s)}};function M(e,r,n){var i=function(i,a){if(i)return n(i);if(a){var o=t.pick(t.extend(a,e),["tiles","minzoom","maxzoom","attribution","mapbox_logo","bounds","scheme","tileSize","encoding"]);a.vector_layers&&(o.vectorLayers=a.vector_layers,o.vectorLayerIds=o.vectorLayers.map(function(t){return t.id})),o.tiles=r.canonicalizeTileset(o,e.url),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),i):t.browser.frame(function(){return i(null,e)})}k.prototype.broadcast=function(e,r,n){n=n||function(){},t.asyncAll(this.actors,function(t,n){t.send(e,r,n)},n)},k.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},k.prototype.remove=function(){this.actors.forEach(function(t){t.remove()}),this.actors=[],this.workerPool.release(this.id)},k.Actor=t.Actor;var S=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};S.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},S.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),i=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),a=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<a&&e.y>=i&&e.y<o};var E=function(e){function r(r,n,i,a){if(e.call(this),this.id=r,this.dispatcher=i,this.type="vector",this.minzoom=0,this.maxzoom=22,this.scheme="xyz",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.extend(this,t.pick(n,["url","scheme","tileSize","promoteId"])),this._options=t.extend({type:"vector"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error("vector tile sources must have a tileSize of 512");this.setEventedParent(a)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event("dataloading",{dataType:"source"})),this._tileJSONRequest=M(this._options,this.map._requestManager,function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new S(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"metadata"})),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"content"})))})},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme)),i={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};function a(n,i){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(i&&i.resourceTiming&&(e.resourceTiming=i.resourceTiming),this.map._refreshExpiredTiles&&i&&e.setExpiryData(i),e.loadVectorData(i,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}i.request.collectResourceTiming=this._collectResourceTiming,e.actor&&"expired"!==e.state?"loading"===e.state?e.reloadCallback=r:e.request=e.actor.send("reloadTile",i,a.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send("loadTile",i,a.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send("abortTile",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send("removeTile",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),L=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.dispatcher=i,this.setEventedParent(a),this.type="raster",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme="xyz",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:"raster"},n),t.extend(this,t.pick(n,["url","scheme","tileSize"]))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event("dataloading",{dataType:"source"})),this._tileJSONRequest=M(this._options,this.map._requestManager,function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new S(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"metadata"})),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"content"})))})},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,i=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(i,t.ResourceType.Tile),function(i,a){if(delete e.request,e.aborted)e.state="unloaded",r(null);else if(i)e.state="errored",r(i);else if(a){n.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(a.width),e.texture?e.texture.update(a,{useMipmap:!0}):(e.texture=new t.Texture(o,a,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state="loaded",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}})},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),C=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),this.type="raster-dem",this.maxzoom=22,this._options=t.extend({type:"raster-dem"},n),this.encoding=n.encoding||"mapbox"}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.serialize=function(){return{type:"raster-dem",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);function i(t,n){t&&(e.state="errored",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state="loaded",r(null))}e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,a){if(delete e.request,e.aborted)e.state="unloaded",r(null);else if(n)e.state="errored",r(n);else if(a){this.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=t.window.ImageBitmap&&a instanceof t.window.ImageBitmap&&t.offscreenCanvasSupported()?a:t.browser.getImageData(a,1),s={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:o,encoding:this.encoding};e.actor&&"expired"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send("loadDEMTile",s,i.bind(this)))}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID)},r.prototype._getNeighboringTiles=function(e){var r=e.canonical,n=Math.pow(2,r.z),i=(r.x-1+n)%n,a=0===r.x?e.wrap-1:e.wrap,o=(r.x+1+n)%n,s=r.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state="unloaded",t.actor&&t.actor.send("removeDEMTile",{uid:t.uid,source:this.id})},r}(L),P=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.type="geojson",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=i.getActor(),this.setEventedParent(a),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution),this.promoteId=n.promoteId;var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1,generateId:n.generateId||!1},clusterProperties:n.clusterProperties},n.workerOptions)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event("dataloading",{dataType:"source"})),this._updateWorkerData(function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:"source",sourceDataType:"metadata"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event("data",n))}})},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event("dataloading",{dataType:"source"})),this._updateWorkerData(function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:"source",sourceDataType:"content"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event("data",n))}}),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send("geojson.getClusterExpansionZoom",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send("geojson.getClusterChildren",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send("geojson.getClusterLeaves",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;"string"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+".loadData",n,function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+".coalesce",{source:n.source},null),e(t))})},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?"reloadTile":"loadTile";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,"reloadTile"===i),r(null))})},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send("removeTile",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send("removeSource",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),O=t.createLayout([{name:"a_pos",type:"Int16",components:2},{name:"a_texture_pos",type:"Int16",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type="image",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event("dataloading",{dataType:"source"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())})},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,function(){e.texture=null}),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event("data",{dataType:"source",sourceDataType:"metadata"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.x),a=Math.max(a,l.y)}var u=i-r,c=a-n,f=Math.max(u,c),h=Math.max(0,Math.floor(-Math.log(f)/Math.LN2)),p=Math.pow(2,h);return new t.CanonicalTileID(h,Math.floor((r+i)/2*p),Math.floor((n+a)/2*p))}(n),this.minzoom=this.maxzoom=this.tileID.z;var i=n.map(function(t){return r.tileID.getTilePoint(t)._round()});return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(i[0].x,i[0].y,0,0),this._boundsArray.emplaceBack(i[1].x,i[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(i[3].x,i[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(i[2].x,i[2].y,t.EXTENT,t.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.Event("data",{dataType:"source",sourceDataType:"content"})),this},r.prototype.prepare=function(){if(0!==Object.keys(this.tiles).length&&this.image){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new t.Texture(e,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];"loaded"!==i.state&&(i.state="loaded",i.texture=this.texture)}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state="errored",e(null))},r.prototype.serialize=function(){return{type:"image",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return!1},r}(t.Evented);var D=function(e){function r(t,r,n,i){e.call(this,t,r,n,i),this.roundZoom=!0,this.type="video",this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1;var r=this.options;this.urls=[];for(var n=0,i=r.urls;n<i.length;n+=1){var a=i[n];this.urls.push(this.map._requestManager.transformRequest(a,t.ResourceType.Source).url)}t.getVideo(this.urls,function(r,n){e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(e.video=n,e.video.loop=!0,e.video.addEventListener("playing",function(){e.map.triggerRepaint()}),e.map&&e.video.play(),e._finishLoading())})},r.prototype.pause=function(){this.video&&this.video.pause()},r.prototype.play=function(){this.video&&this.video.play()},r.prototype.seek=function(e){if(this.video){var r=this.video.seekable;e<r.start(0)||e>r.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError("sources."+this.id,null,"Playback for this video can be set only between the "+r.start(0)+" and "+r.end(0)+"-second mark."))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];"loaded"!==i.state&&(i.state="loaded",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:"video",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),z=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some(function(t){return!Array.isArray(t)||2!==t.length||t.some(function(t){return"number"!=typeof t})})||this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'"coordinates" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'missing required property "coordinates"'))),n.animate&&"boolean"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'optional "animate" property must be a boolean value'))),n.canvas?"string"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'"canvas" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'missing required property "canvas"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error("Canvas dimensions cannot be less than or equal to zero."))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];"loaded"!==a.state&&(a.state="loaded",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:"canvas",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var r=e[t];if(isNaN(r)||r<=0)return!0}return!1},r}(I),R={vector:E,raster:L,"raster-dem":C,geojson:P,video:D,image:I,canvas:z};function F(e,r){var n=t.identity([]);return t.translate(n,n,[1,1,0]),t.scale(n,n,[.5*e.width,.5*e.height,1]),t.multiply(n,n,e.calculatePosMatrix(r.toUnwrapped()))}function B(t,e,r,n,i,a){var o=function(t,e,r){if(t)for(var n=0,i=t;n<i.length;n+=1){var a=e[i[n]];if(a&&a.source===r&&"fill-extrusion"===a.type)return!0}else for(var o in e){var s=e[o];if(s.source===r&&"fill-extrusion"===s.type)return!0}return!1}(i&&i.layers,e,t.id),s=a.maxPitchScaleFactor(),l=t.tilesIn(n,s,o);l.sort(N);for(var u=[],c=0,f=l;c<f.length;c+=1){var h=f[c];u.push({wrappedTileID:h.tileID.wrapped().key,queryResults:h.tile.queryRenderedFeatures(e,r,t._state,h.queryGeometry,h.cameraQueryGeometry,h.scale,i,a,s,F(t.transform,h.tileID))})}var p=function(t){for(var e={},r={},n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.queryResults,s=a.wrappedTileID,l=r[s]=r[s]||{};for(var u in o)for(var c=o[u],f=l[u]=l[u]||{},h=e[u]=e[u]||[],p=0,d=c;p<d.length;p+=1){var v=d[p];f[v.featureIndex]||(f[v.featureIndex]=!0,h.push(v))}}return e}(u);for(var d in p)p[d].forEach(function(e){var r=e.feature,n=t.getFeatureState(r.layer["source-layer"],r.id);r.source=r.layer.source,r.layer["source-layer"]&&(r.sourceLayer=r.layer["source-layer"]),r.state=n});return p}function N(t,e){var r=t.tileID,n=e.tileID;return r.overscaledZ-n.overscaledZ||r.canonical.y-n.canonical.y||r.wrap-n.wrap||r.canonical.x-n.canonical.x}var j=function(t,e){this.max=t,this.onRemove=e,this.reset()};j.prototype.reset=function(){for(var t in this.data)for(var e=0,r=this.data[t];e<r.length;e+=1){var n=r[e];n.timeout&&clearTimeout(n.timeout),this.onRemove(n.value)}return this.data={},this.order=[],this},j.prototype.add=function(t,e,r){var n=this,i=t.wrapped().key;void 0===this.data[i]&&(this.data[i]=[]);var a={value:e,timeout:void 0};if(void 0!==r&&(a.timeout=setTimeout(function(){n.remove(t,a)},r)),this.data[i].push(a),this.order.push(i),this.order.length>this.max){var o=this._getAndRemoveByKey(this.order[0]);o&&this.onRemove(o)}return this},j.prototype.has=function(t){return t.wrapped().key in this.data},j.prototype.getAndRemove=function(t){return this.has(t)?this._getAndRemoveByKey(t.wrapped().key):null},j.prototype._getAndRemoveByKey=function(t){var e=this.data[t].shift();return e.timeout&&clearTimeout(e.timeout),0===this.data[t].length&&delete this.data[t],this.order.splice(this.order.indexOf(t),1),e.value},j.prototype.getByKey=function(t){var e=this.data[t];return e?e[0].value:null},j.prototype.get=function(t){return this.has(t)?this.data[t.wrapped().key][0].value:null},j.prototype.remove=function(t,e){if(!this.has(t))return this;var r=t.wrapped().key,n=void 0===e?0:this.data[r].indexOf(e),i=this.data[r][n];return this.data[r].splice(n,1),i.timeout&&clearTimeout(i.timeout),0===this.data[r].length&&delete this.data[r],this.onRemove(i.value),this.order.splice(this.order.indexOf(r),1),this},j.prototype.setMaxSize=function(t){for(this.max=t;this.order.length>this.max;){var e=this._getAndRemoveByKey(this.order[0]);e&&this.onRemove(e)}return this},j.prototype.filter=function(t){var e=[];for(var r in this.data)for(var n=0,i=this.data[r];n<i.length;n+=1){var a=i[n];t(a.value)||e.push(a)}for(var o=0,s=e;o<s.length;o+=1){var l=s[o];this.remove(l.value.tileID,l)}};var U=function(t,e,r){this.context=t;var n=t.gl;this.buffer=n.createBuffer(),this.dynamicDraw=Boolean(r),this.context.unbindVAO(),t.bindElementBuffer.set(this.buffer),n.bufferData(n.ELEMENT_ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?n.DYNAMIC_DRAW:n.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer};U.prototype.bind=function(){this.context.bindElementBuffer.set(this.buffer)},U.prototype.updateData=function(t){var 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K(this),this.stencilOp=new $(this),this.stencilTest=new Q(this),this.depthRange=new tt(this),this.depthTest=new et(this),this.depthFunc=new rt(this),this.blend=new nt(this),this.blendFunc=new it(this),this.blendColor=new at(this),this.blendEquation=new ot(this),this.cullFace=new st(this),this.cullFaceSide=new lt(this),this.frontFace=new ut(this),this.program=new ct(this),this.activeTexture=new ft(this),this.viewport=new ht(this),this.bindFramebuffer=new pt(this),this.bindRenderbuffer=new dt(this),this.bindTexture=new vt(this),this.bindVertexBuffer=new gt(this),this.bindElementBuffer=new yt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new mt(this),this.pixelStoreUnpack=new xt(this),this.pixelStoreUnpackPremultiplyAlpha=new bt(this),this.pixelStoreUnpackFlipY=new _t(this),this.extTextureFilterAnisotropic=t.getExtension("EXT_texture_filter_anisotropic")||t.getExtension("MOZ_EXT_texture_filter_anisotropic")||t.getExtension("WEBKIT_EXT_texture_filter_anisotropic"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension("OES_texture_half_float"),this.extTextureHalfFloat&&(t.getExtension("OES_texture_half_float_linear"),this.extRenderToTextureHalfFloat=t.getExtension("EXT_color_buffer_half_float")),this.extTimerQuery=t.getExtension("EXT_disjoint_timer_query")};Pt.prototype.setDefault=function(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()},Pt.prototype.setDirty=function(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.extVertexArrayObject&&(this.bindVertexArrayOES.dirty=!0),this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0},Pt.prototype.createIndexBuffer=function(t,e){return new U(this,t,e)},Pt.prototype.createVertexBuffer=function(t,e,r){return new H(this,t,e,r)},Pt.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,i=n.createRenderbuffer();return this.bindRenderbuffer.set(i),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),i},Pt.prototype.createFramebuffer=function(t,e,r){return new kt(this,t,e,r)},Pt.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,i=0;e&&(i|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(i|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(i)},Pt.prototype.setCullFace=function(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))},Pt.prototype.setDepthMode=function(t){t.func!==this.gl.ALWAYS||t.mask?(this.depthTest.set(!0),this.depthFunc.set(t.func),this.depthMask.set(t.mask),this.depthRange.set(t.range)):this.depthTest.set(!1)},Pt.prototype.setStencilMode=function(t){t.test.func!==this.gl.ALWAYS||t.mask?(this.stencilTest.set(!0),this.stencilMask.set(t.mask),this.stencilOp.set([t.fail,t.depthFail,t.pass]),this.stencilFunc.set({func:t.test.func,ref:t.ref,mask:t.test.mask})):this.stencilTest.set(!1)},Pt.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,Lt.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Pt.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Ot=function(e){function r(r,n,i){var a=this;e.call(this),this.id=r,this.dispatcher=i,this.on("data",function(t){"source"===t.dataType&&"metadata"===t.sourceDataType&&(a._sourceLoaded=!0),a._sourceLoaded&&!a._paused&&"source"===t.dataType&&"content"===t.sourceDataType&&(a.reload(),a.transform&&a.update(a.transform))}),this.on("error",function(){a._sourceErrored=!0}),this._source=function(e,r,n,i){var a=new R[r.type](e,r,n,i);if(a.id!==e)throw new Error("Expected Source id to be "+e+" instead of "+a.id);return t.bindAll(["load","abort","unload","serialize","prepare"],a),a}(r,n,i,this),this._tiles={},this._cache=new j(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;for(var t in this._tiles){var e=this._tiles[t];if("loaded"!==e.state&&"errored"!==e.state)return!1}return!0},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=!0},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,function(){})},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,function(){})},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}},r.prototype.getIds=function(){return t.values(this._tiles).map(function(t){return t.tileID}).sort(It).map(function(t){return t.key})},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var i in this._tiles)this._isIdRenderable(i,e)&&n.push(this._tiles[i]);return e?n.sort(function(e,n){var i=e.tileID,a=n.tileID,o=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle),s=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle);return i.overscaledZ-a.overscaledZ||s.y-o.y||s.x-o.x}).map(function(t){return t.tileID.key}):n.map(function(t){return t.tileID}).sort(It).map(function(t){return t.key})},r.prototype.hasRenderableParent=function(t){var e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)},r.prototype._isIdRenderable=function(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())},r.prototype.reload=function(){if(this._paused)this._shouldReloadOnResume=!0;else for(var t in this._cache.reset(),this._tiles)"errored"!==this._tiles[t].state&&this._reloadTile(t,"reloading")},r.prototype._reloadTile=function(t,e){var r=this._tiles[t];r&&("loading"!==r.state&&(r.state=e),this._loadTile(r,this._tileLoaded.bind(this,r,t,e)))},r.prototype._tileLoaded=function(e,r,n,i){if(i)return e.state="errored",void(404!==i.status?this._source.fire(new t.ErrorEvent(i,{tile:e})):this.update(this.transform));e.timeAdded=t.browser.now(),"expired"===n&&(e.refreshedUponExpiration=!0),this._setTileReloadTimer(r,e),"raster-dem"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._state.initializeTileState(e,this.map?this.map.painter:null),this._source.fire(new t.Event("data",{dataType:"source",tile:e,coord:e.tileID}))},r.prototype._backfillDEM=function(t){for(var e=this.getRenderableIds(),r=0;r<e.length;r++){var n=e[r];if(t.neighboringTiles&&t.neighboringTiles[n]){var i=this.getTileByID(n);a(t,i),a(i,t)}}function a(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,i=Math.pow(2,t.tileID.canonical.z),a=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n="number"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map(function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)}):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter(function(t){return n._source.hasTile(t)}))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(Dt(this._source.type)){for(var u={},c={},f=0,h=Object.keys(l);f<h.length;f+=1){var p=h[f],d=l[p],v=this._tiles[p];if(v&&!(v.fadeEndTime&&v.fadeEndTime<=t.browser.now())){var g=this.findLoadedParent(d,o);g&&(this._addTile(g.tileID),u[g.tileID.key]=g.tileID),c[p]=d}}for(var y in this._retainLoadedChildren(c,a,s,l),u)l[y]||(this._coveredTiles[y]=!0,l[y]=u[y])}for(var m in l)this._tiles[m].clearFadeHold();for(var x=0,b=t.keysDifference(this._tiles,l);x<b.length;x+=1){var _=b[x],w=this._tiles[_];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(_)}this._updateLoadedParentTileCache()}},r.prototype.releaseSymbolFadeTiles=function(){for(var t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)},r.prototype._updateRetainedTiles=function(t,e){for(var n={},i={},a=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,u=t;l<u.length;l+=1){var c=u[l],f=this._addTile(c);n[c.key]=c,f.hasData()||e<this._source.maxzoom&&(s[c.key]=c)}this._retainLoadedChildren(s,e,o,n);for(var h=0,p=t;h<p.length;h+=1){var d=p[h],v=this._tiles[d.key];if(!v.hasData()){if(e+1>this._source.maxzoom){var g=d.children(this._source.maxzoom)[0],y=this.getTile(g);if(y&&y.hasData()){n[g.key]=g;continue}}else{var m=d.children(this._source.maxzoom);if(n[m[0].key]&&n[m[1].key]&&n[m[2].key]&&n[m[3].key])continue}for(var x=v.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(v=this.getTile(_))&&x&&(v=this._addTile(_)),v&&(n[_.key]=_,x=v.wasRequested(),v.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a<o.length;a+=1){var s=o[a];this._loadedParentTiles[s]=r}}},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event("dataloading",{tile:r,coord:r.tileID,dataType:"source"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout(function(){r._reloadTile(t,"expired"),delete r._timers[t]},n))},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&"reloading"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map(function(t){return o.pointCoordinate(t)}),u=s.map(function(t){return o.pointCoordinate(t)}),c=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,v=0,g=u;v<g.length;v+=1){var y=g[v];f=Math.min(f,y.x),h=Math.min(h,y.y),p=Math.max(p,y.x),d=Math.max(d,y.y)}for(var m=function(e){var n=i._tiles[c[e]];if(!n.holdingForFade()){var s=n.tileID,v=Math.pow(2,o.zoom-n.tileID.overscaledZ),g=r*n.queryPadding*t.EXTENT/n.tileSize/v,y=[s.getTilePoint(new t.MercatorCoordinate(f,h)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(y[0].x-g<t.EXTENT&&y[0].y-g<t.EXTENT&&y[1].x+g>=0&&y[1].y+g>=0){var m=l.map(function(t){return s.getTilePoint(t)}),x=u.map(function(t){return s.getTilePoint(t)});a.push({tile:n,tileID:s,queryGeometry:m,cameraQueryGeometry:x,scale:v})}}},x=0;x<c.length;x++)m(x);return a},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map(function(t){return e._tiles[t].tileID}),n=0,i=r;n<i.length;n+=1){var a=i[n];a.posMatrix=this.transform.calculatePosMatrix(a.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(Dt(this._source.type))for(var e in this._tiles){var r=this._tiles[e];if(void 0!==r.fadeEndTime&&r.fadeEndTime>=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||"_geojsonTileLayer",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||"_geojsonTileLayer",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||"_geojsonTileLayer",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles)this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,"reloading");this._cache.filter(function(r){return!r.hasDependency(t,e)})},r}(t.Evented);function It(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function Dt(t){return"raster"===t||"image"===t||"video"===t}function zt(){return new t.window.Worker(ea.workerUrl)}Ot.maxOverzooming=10,Ot.maxUnderzooming=3;var Rt="mapboxgl_preloaded_worker_pool",Ft=function(){this.active={}};Ft.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Ft.workerCount;)this.workers.push(new zt);return this.active[t]=!0,this.workers.slice()},Ft.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach(function(t){t.terminate()}),this.workers=null)},Ft.prototype.isPreloaded=function(){return!!this.active[Rt]},Ft.prototype.numActive=function(){return Object.keys(this.active).length};var Bt,Nt=Math.floor(t.browser.hardwareConcurrency/2);function jt(){return Bt||(Bt=new Ft),Bt}function Ut(e,r){var n={};for(var i in e)"ref"!==i&&(n[i]=e[i]);return t.refProperties.forEach(function(t){t in r&&(n[t]=r[t])}),n}function Vt(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)"ref"in t[n]&&(t[n]=Ut(t[n],e[t[n].ref]));return t}Ft.workerCount=Math.max(Math.min(Nt,6),1);var Ht={setStyle:"setStyle",addLayer:"addLayer",removeLayer:"removeLayer",setPaintProperty:"setPaintProperty",setLayoutProperty:"setLayoutProperty",setFilter:"setFilter",addSource:"addSource",removeSource:"removeSource",setGeoJSONSourceData:"setGeoJSONSourceData",setLayerZoomRange:"setLayerZoomRange",setLayerProperty:"setLayerProperty",setCenter:"setCenter",setZoom:"setZoom",setBearing:"setBearing",setPitch:"setPitch",setSprite:"setSprite",setGlyphs:"setGlyphs",setTransition:"setTransition",setLight:"setLight"};function qt(t,e,r){r.push({command:Ht.addSource,args:[t,e[t]]})}function Gt(t,e,r){e.push({command:Ht.removeSource,args:[t]}),r[t]=!0}function Yt(t,e,r,n){Gt(t,r,n),qt(t,e,r)}function Wt(e,r,n){var i;for(i in e[n])if(e[n].hasOwnProperty(i)&&"data"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;for(i in r[n])if(r[n].hasOwnProperty(i)&&"data"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;return!0}function Zt(e,r,n,i,a,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}))}function Xt(t){return t.id}function Jt(t,e){return t[e.id]=e,t}function Kt(e,r){if(!e)return[{command:Ht.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:Ht.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:Ht.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:Ht.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:Ht.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:Ht.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:Ht.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:Ht.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:Ht.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:Ht.setLight,args:[r.light]});var i={},a=[];!function(e,r,n,i){var a;for(a in r=r||{},e=e||{})e.hasOwnProperty(a)&&(r.hasOwnProperty(a)||Gt(a,n,i));for(a in r)r.hasOwnProperty(a)&&(e.hasOwnProperty(a)?t.deepEqual(e[a],r[a])||("geojson"===e[a].type&&"geojson"===r[a].type&&Wt(e,r,a)?n.push({command:Ht.setGeoJSONSourceData,args:[a,r[a].data]}):Yt(a,r,n,i)):qt(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach(function(t){i[t.source]?n.push({command:Ht.removeLayer,args:[t.id]}):o.push(t)}),n=n.concat(a),function(e,r,n){r=r||[];var i,a,o,s,l,u,c,f=(e=e||[]).map(Xt),h=r.map(Xt),p=e.reduce(Jt,{}),d=r.reduce(Jt,{}),v=f.slice(),g=Object.create(null);for(i=0,a=0;i<f.length;i++)o=f[i],d.hasOwnProperty(o)?a++:(n.push({command:Ht.removeLayer,args:[o]}),v.splice(v.indexOf(o,a),1));for(i=0,a=0;i<h.length;i++)o=h[h.length-1-i],v[v.length-1-i]!==o&&(p.hasOwnProperty(o)?(n.push({command:Ht.removeLayer,args:[o]}),v.splice(v.lastIndexOf(o,v.length-a),1)):a++,u=v[v.length-i],n.push({command:Ht.addLayer,args:[d[o],u]}),v.splice(v.length-i,0,o),g[o]=!0);for(i=0;i<h.length;i++)if(s=p[o=h[i]],l=d[o],!g[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s["source-layer"],l["source-layer"])&&t.deepEqual(s.type,l.type)){for(c in Zt(s.layout,l.layout,n,o,null,Ht.setLayoutProperty),Zt(s.paint,l.paint,n,o,null,Ht.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:Ht.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:Ht.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(c)&&"layout"!==c&&"paint"!==c&&"filter"!==c&&"metadata"!==c&&"minzoom"!==c&&"maxzoom"!==c&&(0===c.indexOf("paint.")?Zt(s[c],l[c],n,o,c.slice(6),Ht.setPaintProperty):t.deepEqual(s[c],l[c])||n.push({command:Ht.setLayerProperty,args:[o,c,l[c]]}));for(c in l)l.hasOwnProperty(c)&&!s.hasOwnProperty(c)&&"layout"!==c&&"paint"!==c&&"filter"!==c&&"metadata"!==c&&"minzoom"!==c&&"maxzoom"!==c&&(0===c.indexOf("paint.")?Zt(s[c],l[c],n,o,c.slice(6),Ht.setPaintProperty):t.deepEqual(s[c],l[c])||n.push({command:Ht.setLayerProperty,args:[o,c,l[c]]}))}else n.push({command:Ht.removeLayer,args:[o]}),u=v[v.lastIndexOf(o)+1],n.push({command:Ht.addLayer,args:[l,u]})}(o,r.layers,n)}catch(t){console.warn("Unable to compute style diff:",t),n=[{command:Ht.setStyle,args:[r]}]}return n}var $t=function(t,e){this.reset(t,e)};$t.prototype.reset=function(t,e){this.points=t||[],this._distances=[0];for(var r=1;r<this.points.length;r++)this._distances[r]=this._distances[r-1]+this.points[r].dist(this.points[r-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(e||0,.5*this.length),this.paddedLength=this.length-2*this.padding},$t.prototype.lerp=function(e){if(1===this.points.length)return this.points[0];e=t.clamp(e,0,1);for(var r=1,n=this._distances[r],i=e*this.paddedLength+this.padding;n<i&&r<this._distances.length;)n=this._distances[++r];var a=r-1,o=this._distances[a],s=n-o,l=s>0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Qt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a<this.xCellCount*this.yCellCount;a++)n.push([]),i.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function te(e,r,n,i,a){var o=t.create();return r?(t.scale(o,o,[1/a,1/a,1]),n||t.rotateZ(o,o,i.angle)):t.multiply(o,i.labelPlaneMatrix,e),o}function ee(e,r,n,i,a){if(r){var o=t.clone(e);return t.scale(o,o,[a,a,1]),n||t.rotateZ(o,o,-i.angle),o}return i.glCoordMatrix}function re(e,r){var n=[e.x,e.y,0,1];pe(n,n,r);var i=n[3];return{point:new t.Point(n[0]/i,n[1]/i),signedDistanceFromCamera:i}}function ne(t,e){return.5+t/e*.5}function ie(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ae(e,r,n,i,a,o,s,l){var u=i?e.textSizeData:e.iconSizeData,c=t.evaluateSizeForZoom(u,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,v=n.transform.width/n.transform.height,g=!1,y=0;y<d.length;y++){var m=d.get(y);if(m.hidden||m.writingMode===t.WritingMode.vertical&&!g)he(m.numGlyphs,h);else{g=!1;var x=[m.anchorX,m.anchorY,0,1];if(t.transformMat4(x,x,r),ie(x,f)){var b=x[3],_=ne(n.transform.cameraToCenterDistance,b),w=t.evaluateSizeForFeature(u,c,m),T=s?w/_:w*_,A=new t.Point(m.anchorX,m.anchorY),k=re(A,a).point,M={},S=le(m,T,!1,l,r,a,o,e.glyphOffsetArray,p,h,k,A,M,v);g=S.useVertical,(S.notEnoughRoom||g||S.needsFlipping&&le(m,T,!0,l,r,a,o,e.glyphOffsetArray,p,h,k,A,M,v).notEnoughRoom)&&he(m.numGlyphs,h)}else he(m.numGlyphs,h)}}i?e.text.dynamicLayoutVertexBuffer.updateData(h):e.icon.dynamicLayoutVertexBuffer.updateData(h)}function oe(t,e,r,n,i,a,o,s,l,u,c){var f=s.glyphStartIndex+s.numGlyphs,h=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),v=e.getoffsetX(f-1),g=ce(t*d,r,n,i,a,o,s.segment,h,p,l,u,c);if(!g)return null;var y=ce(t*v,r,n,i,a,o,s.segment,h,p,l,u,c);return y?{first:g,last:y}:null}function se(e,r,n,i){return e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*i?{useVertical:!0}:(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function le(e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=r/24,y=e.lineOffsetX*g,m=e.lineOffsetY*g;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=oe(g,l,y,m,n,f,h,e,u,o,p);if(!w)return{notEnoughRoom:!0};var T=re(w.first.point,s).point,A=re(w.last.point,s).point;if(i&&!n){var k=se(e.writingMode,T,A,d);if(k)return k}v=[w.first];for(var M=e.glyphStartIndex+1;M<x-1;M++)v.push(ce(g*l.getoffsetX(M),y,m,n,f,h,e.segment,b,_,u,o,p));v.push(w.last)}else{if(i&&!n){var S=re(h,a).point,E=e.lineStartIndex+e.segment+1,L=new t.Point(u.getx(E),u.gety(E)),C=re(L,a),P=C.signedDistanceFromCamera>0?C.point:ue(h,L,S,1,a),O=se(e.writingMode,S,P,d);if(O)return O}var I=ce(g*l.getoffsetX(e.glyphStartIndex),y,m,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,u,o,p);if(!I)return{notEnoughRoom:!0};v=[I]}for(var D=0,z=v;D<z.length;D+=1){var R=z[D];t.addDynamicAttributes(c,R.point,R.angle)}return{}}function ue(t,e,r,n,i){var a=re(t.add(t.sub(e)._unit()),i).point,o=r.sub(a);return r.add(o._mult(n/o.mag()))}function ce(e,r,n,i,a,o,s,l,u,c,f,h){var p=i?e-r:e+r,d=p>0?1:-1,v=0;i&&(d*=-1,v=Math.PI),d<0&&(v+=Math.PI);for(var g=d>0?l+s:l+s+1,y=a,m=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((g+=d)<l||g>=u)return null;if(m=y,w.push(y),void 0===(y=h[g])){var T=new t.Point(c.getx(g),c.gety(g)),A=re(T,f);if(A.signedDistanceFromCamera>0)y=h[g]=A.point;else{var k=g-d;y=ue(0===x?o:new t.Point(c.getx(k),c.gety(k)),T,m,_-x+1,f)}}x+=b,b=m.dist(y)}var M=(_-x)/b,S=y.sub(m),E=S.mult(M)._add(m);E._add(S._unit()._perp()._mult(n*d));var L=v+Math.atan2(y.y-m.y,y.x-m.x);return w.push(E),{point:E,angle:L,path:w}}Qt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Qt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Qt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Qt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Qt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Qt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var u=this.circles[3*l],c=this.circles[3*l+1],f=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:u-f,y1:c-f,x2:u+f,y2:c+f})}return a?o.filter(a):o}var h={hitTest:i,seenUids:{box:{},circle:{}}};return this._forEachCell(t,e,r,n,this._queryCell,o,h,a),i?o.length>0:o},Qt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var u=[],c={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,u,c,i),n?u.length>0:u},Qt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Qt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Qt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Qt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,u=this.boxCells[i];if(null!==u)for(var c=this.bboxes,f=0,h=u;f<h.length;f+=1){var p=h[f];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=c[d+2]&&e<=c[d+3]&&r>=c[d+0]&&n>=c[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:c[d],y1:c[d+1],x2:c[d+2],y2:c[d+3]})}}}var v=this.circleCells[i];if(null!==v)for(var g=this.circles,y=0,m=v;y<m.length;y+=1){var x=m[y];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(g[b],g[b+1],g[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return a.push(!0),!0;var _=g[b],w=g[b+1],T=g[b+2];a.push({key:this.circleKeys[x],x1:_-T,y1:w-T,x2:_+T,y2:w+T})}}}},Qt.prototype._queryCellCircle=function(t,e,r,n,i,a,o,s){var l=o.circle,u=o.seenUids,c=this.boxCells[i];if(null!==c)for(var f=this.bboxes,h=0,p=c;h<p.length;h+=1){var d=p[h];if(!u.box[d]){u.box[d]=!0;var v=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,f[v+0],f[v+1],f[v+2],f[v+3])&&(!s||s(this.boxKeys[d])))return a.push(!0),!0}}var g=this.circleCells[i];if(null!==g)for(var y=this.circles,m=0,x=g;m<x.length;m+=1){var b=x[m];if(!u.circle[b]){u.circle[b]=!0;var _=3*b;if(this._circlesCollide(y[_],y[_+1],y[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return a.push(!0),!0}}},Qt.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToXCellCoord(t),u=this._convertToYCellCoord(e),c=this._convertToXCellCoord(r),f=this._convertToYCellCoord(n),h=l;h<=c;h++)for(var p=u;p<=f;p++){var d=this.xCellCount*p+h;if(i.call(this,t,e,r,n,d,a,o,s))return}},Qt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Qt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Qt.prototype._circlesCollide=function(t,e,r,n,i,a){var o=n-t,s=i-e,l=r+a;return l*l>o*o+s*s},Qt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var u=(o-i)/2,c=Math.abs(e-(i+u));if(c>u+r)return!1;if(l<=s||c<=u)return!0;var f=l-s,h=c-u;return f*f+h*h<=r*r};var fe=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function he(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(fe,3*n)}}function pe(t,e,r){var n=e[0],i=e[1];return t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t[3]=r[3]*n+r[7]*i+r[15],t}var de=100,ve=function(t,e,r){void 0===e&&(e=new Qt(t.width+200,t.height+200,25)),void 0===r&&(r=new Qt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+de,this.screenBottomBoundary=t.height+de,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function ge(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}ve.prototype.placeCollisionBox=function(t,e,r,n,i){var a=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*a.perspectiveRatio,s=t.x1*o+a.point.x,l=t.y1*o+a.point.y,u=t.x2*o+a.point.x,c=t.y2*o+a.point.y;return!this.isInsideGrid(s,l,u,c)||!e&&this.grid.hitTest(s,l,u,c,i)?{box:[],offscreen:!1}:{box:[s,l,u,c],offscreen:this.isOffscreen(s,l,u,c)}},ve.prototype.placeCollisionCircles=function(e,r,n,i,a,o,s,l,u,c,f,h,p){var d=[],v=new t.Point(r.anchorX,r.anchorY),g=re(v,o),y=ne(this.transform.cameraToCenterDistance,g.signedDistanceFromCamera),m=(c?a/y:a*y)/t.ONE_EM,x=re(v,s).point,b=oe(m,i,r.lineOffsetX*m,r.lineOffsetY*m,!1,x,v,r,n,s,{}),_=!1,w=!1,T=!0;if(b){for(var A=.5*h*y+p,k=new t.Point(-100,-100),M=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new $t,E=b.first,L=b.last,C=[],P=E.path.length-1;P>=1;P--)C.push(E.path[P]);for(var O=1;O<L.path.length;O++)C.push(L.path[O]);var I=2.5*A;if(l){var D=C.map(function(t){return re(t,l)});C=D.some(function(t){return t.signedDistanceFromCamera<=0})?[]:D.map(function(t){return t.point})}var z=[];if(C.length>0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B<C.length;B++)R.x=Math.min(R.x,C[B].x),R.y=Math.min(R.y,C[B].y),F.x=Math.max(F.x,C[B].x),F.y=Math.max(F.y,C[B].y);z=R.x>=k.x&&F.x<=M.x&&R.y>=k.y&&F.y<=M.y?[C]:F.x<k.x||R.x>M.x||F.y<k.y||R.y>M.y?[]:t.clipLine([C],k.x,k.y,M.x,M.y)}for(var N=0,j=z;N<j.length;N+=1){var U=j[N];S.reset(U,.25*A);var V;V=S.length<=.5*A?1:Math.ceil(S.paddedLength/I)+1;for(var H=0;H<V;H++){var q=H/Math.max(V-1,1),G=S.lerp(q),Y=G.x+de,W=G.y+de;d.push(Y,W,A,0);var Z=Y-A,X=W-A,J=Y+A,K=W+A;if(T=T&&this.isOffscreen(Z,X,J,K),w=w||this.isInsideGrid(Z,X,J,K),!e&&this.grid.hitTestCircle(Y,W,A,f)&&(_=!0,!u))return{circles:[],offscreen:!1,collisionDetected:_}}}}return{circles:!u&&_||!w?[]:d,offscreen:T,collisionDetected:_}},ve.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,i=1/0,a=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var u=l[s],c=new t.Point(u.x+de,u.y+de);n=Math.min(n,c.x),i=Math.min(i,c.y),a=Math.max(a,c.x),o=Math.max(o,c.y),r.push(c)}for(var f={},h={},p=0,d=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o));p<d.length;p+=1){var v=d[p],g=v.key;if(void 0===f[g.bucketInstanceId]&&(f[g.bucketInstanceId]={}),!f[g.bucketInstanceId][g.featureIndex]){var y=[new t.Point(v.x1,v.y1),new t.Point(v.x2,v.y1),new t.Point(v.x2,v.y2),new t.Point(v.x1,v.y2)];t.polygonIntersectsPolygon(r,y)&&(f[g.bucketInstanceId][g.featureIndex]=!0,void 0===h[g.bucketInstanceId]&&(h[g.bucketInstanceId]=[]),h[g.bucketInstanceId].push(g.featureIndex))}}return h},ve.prototype.insertCollisionBox=function(t,e,r,n,i){var a={bucketInstanceId:r,featureIndex:n,collisionGroupID:i};(e?this.ignoredGrid:this.grid).insert(a,t[0],t[1],t[2],t[3])},ve.prototype.insertCollisionCircles=function(t,e,r,n,i){for(var a=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:i},s=0;s<t.length;s+=4)a.insertCircle(o,t[s],t[s+1],t[s+2])},ve.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var i=[r,n,0,1];return pe(i,i,e),{point:new t.Point((i[0]/i[3]+1)/2*this.transform.width+de,(-i[1]/i[3]+1)/2*this.transform.height+de),perspectiveRatio:.5+this.transform.cameraToCenterDistance/i[3]*.5}},ve.prototype.isOffscreen=function(t,e,r,n){return r<de||t>=this.screenRightBoundary||n<de||e>this.screenBottomBoundary},ve.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},ve.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var ye=function(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r};ye.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var me=function(t,e,r,n,i){this.text=new ye(t?t.text:null,e,r,i),this.icon=new ye(t?t.icon:null,e,n,i)};me.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var xe=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},be=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},_e=function(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i},we=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function Te(e,r,n,i,a){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,i);return new t.Point(s+u[0]*a,l+u[1]*a)}function Ae(e,r,n,i,a,o){var s=e.x1,l=e.x2,u=e.y1,c=e.y2,f=e.anchorPointX,h=e.anchorPointY,p=new t.Point(r,n);return i&&p._rotate(a?o:-o),{x1:s+p.x,y1:u+p.y,x2:l+p.x,y2:c+p.y,anchorPointX:f,anchorPointY:h}}we.prototype.get=function(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){var e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:function(t){return t.collisionGroupID===e}}}return this.collisionGroups[t]};var ke=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new ve(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new we(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function Me(t,e,r,n,i){t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0)}ke.prototype.getBucketParts=function(e,r,n,i){var a=n.getBucket(r),o=n.latestFeatureIndex;if(a&&o&&r.id===a.layerIds[0]){var s=n.collisionBoxArray,l=a.layers[0].layout,u=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),c=n.tileSize/t.EXTENT,f=this.transform.calculatePosMatrix(n.tileID.toUnwrapped()),h="map"===l.get("text-pitch-alignment"),p="map"===l.get("text-rotation-alignment"),d=ge(n,1,this.transform.zoom),v=te(f,h,p,this.transform,d),g=null;if(h){var y=ee(f,h,p,this.transform,d);g=t.multiply([],this.transform.labelPlaneMatrix,y)}this.retainedQueryData[a.bucketInstanceId]=new _e(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);var m={bucket:a,layout:l,posMatrix:f,textLabelPlaneMatrix:v,labelToScreenMatrix:g,scale:u,textPixelRatio:c,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(var x=0,b=a.sortKeyRanges;x<b.length;x+=1){var _=b[x],w=_.sortKey,T=_.symbolInstanceStart,A=_.symbolInstanceEnd;e.push({sortKey:w,symbolInstanceStart:T,symbolInstanceEnd:A,parameters:m})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:m})}},ke.prototype.attemptAnchorPlacement=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=[f.textOffset0,f.textOffset1],y=Te(t,r,n,g,i),m=this.collisionIndex.placeCollisionBox(Ae(e,y.x,y.y,a,o,this.transform.angle),c,s,l,u.predicate);if(!d||0!==this.collisionIndex.placeCollisionBox(Ae(d,y.x,y.y,a,o,this.transform.angle),c,s,l,u.predicate).box.length)return m.box.length>0?(this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(v=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:g,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:v},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:y,placedGlyphBoxes:m}):void 0},ke.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,u=a.textLabelPlaneMatrix,c=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,v=a.collisionGroup,g=s.get("text-optional"),y=s.get("icon-optional"),m=s.get("text-allow-overlap"),x=s.get("icon-allow-overlap"),b="map"===s.get("text-rotation-alignment"),_="map"===s.get("text-pitch-alignment"),w="none"!==s.get("icon-text-fit"),T="viewport-y"===s.get("symbol-z-order"),A=m&&(x||!o.hasIconData()||y),k=x&&(m||!o.hasTextData()||g);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new xe(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,L={box:null,offscreen:null},C={box:null,offscreen:null},P=null,O=null,I=0,D=0,z=0;a.textFeatureIndex?I=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(I=e.featureIndex),a.verticalTextFeatureIndex&&(D=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i<s.length&&(s[i]===t.WritingMode.vertical?(L=n(),C=L):L=r(),!(L&&L.box&&L.box.length));i+=1);else L=r()};if(s.get("text-variable-anchor")){var N=s.get("text-variable-anchor");if(i.prevPlacement&&i.prevPlacement.variableOffsets[e.crossTileID]){var j=i.prevPlacement.variableOffsets[e.crossTileID];N.indexOf(j.anchor)>0&&(N=N.filter(function(t){return t!==j.anchor})).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,u=e.textBoxScale,c=w&&!x?r:null,h={box:[],offscreen:!1},p=m?2*N.length:N.length,d=0;d<p;++d){var g=N[d%N.length],y=d>=N.length,A=i.attemptAnchorPlacement(g,t,a,s,u,b,_,f,l,v,y,e,o,n,c);if(A&&(h=A.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=A.shift;break}}return h};B(function(){return U(R,a.iconBox,t.WritingMode.horizontal)},function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}}),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var H=i.prevPlacement.variableOffsets[e.crossTileID];H&&(i.variableOffsets[e.crossTileID]=H,i.markUsedJustification(o,H.anchor,e,V))}}else{var q=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,m,f,l,v.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B(function(){return q(R,t.WritingMode.horizontal)},function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?q(r,t.WritingMode.vertical):{box:null,offscreen:null}}),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),Y=t.evaluateSizeForFeature(o.textSizeData,d,G),W=s.get("text-padding"),Z=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(m,G,o.lineVertexArray,o.glyphOffsetArray,Y,l,u,c,n,_,v.predicate,Z,W),T=m||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(z=a.iconFeatureIndex),a.iconBox){var X=function(t){var e=w&&E?Ae(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,v.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(O=X(a.verticalIconBox)).box.length>0:(O=X(a.iconBox)).box.length>0,S=S&&O.offscreen}var J=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,K=y||0===e.numIconVertices;if(J||K?K?J||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(C&&C.box&&D?i.collisionIndex.insertCollisionBox(p.box,s.get("text-ignore-placement"),o.bucketInstanceId,D,v.ID):i.collisionIndex.insertCollisionBox(p.box,s.get("text-ignore-placement"),o.bucketInstanceId,I,v.ID)),M&&O&&i.collisionIndex.insertCollisionBox(O.box,s.get("icon-ignore-placement"),o.bucketInstanceId,z,v.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get("text-ignore-placement"),o.bucketInstanceId,I,v.ID),n)){var $=o.bucketInstanceId,Q=i.collisionCircleArrays[$];void 0===Q&&(Q=i.collisionCircleArrays[$]=new be);for(var tt=0;tt<P.circles.length;tt+=4)Q.circles.push(P.circles[tt+0]),Q.circles.push(P.circles[tt+1]),Q.circles.push(P.circles[tt+2]),Q.circles.push(P.collisionDetected?1:0)}i.placements[e.crossTileID]=new xe(T||A,M||k,S||o.justReloaded),r[e.crossTileID]=!0}};if(T)for(var S=o.getSortedSymbolIndexes(this.transform.angle),E=S.length-1;E>=0;--E){var L=S[E];M(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C<e.symbolInstanceEnd;C++)M(o.symbolInstances.get(C),o.collisionArrays[C]);if(n&&o.bucketInstanceId in this.collisionCircleArrays){var P=this.collisionCircleArrays[o.bucketInstanceId];t.invert(P.invProjMatrix,l),P.viewportMatrix=this.collisionIndex.getViewportMatrix()}o.justReloaded=!1},ke.prototype.markUsedJustification=function(e,r,n,i){var a,o={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};a=i===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:o[t.getAnchorJustification(r)];for(var s=0,l=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];s<l.length;s+=1){var u=l[s];u>=0&&(e.text.placedSymbolArray.get(u).crossTileID=a>=0&&u!==a?0:n.crossTileID)}},ke.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1){var l=s[o];e.text.placedSymbolArray.get(l).placedOrientation=i}n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=a)},ke.prototype.commit=function(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;var e=this.prevPlacement,r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;var n=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],u=i[s];u?(this.opacities[s]=new me(u,n,l.text,l.icon),r=r||l.text!==u.text.placed||l.icon!==u.icon.placed):(this.opacities[s]=new me(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var c in i){var f=i[c];if(!this.opacities[c]){var h=new me(f,n,!1,!1);h.isHidden()||(this.opacities[c]=h,r=r||f.text.placed||f.icon.placed)}}for(var p in a)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=a[p]);for(var d in o)this.placedOrientations[d]||!this.opacities[d]||this.opacities[d].isHidden()||(this.placedOrientations[d]=o[d]);r?this.lastPlacementChangeTime=t:"number"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)},ke.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){var a=i[n],o=a.getBucket(t);o&&a.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,a.collisionBoxArray)}},ke.prototype.updateBucketOpacities=function(e,r,n){var i=this;e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexArray.clear(),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexArray.clear();var a=e.layers[0].layout,o=new me(null,0,!1,!1,!0),s=a.get("text-allow-overlap"),l=a.get("icon-allow-overlap"),u=a.get("text-variable-anchor"),c="map"===a.get("text-rotation-alignment"),f="map"===a.get("text-pitch-alignment"),h="none"!==a.get("icon-text-fit"),p=new me(null,0,s&&(l||!e.hasIconData()||a.get("icon-optional")),l&&(s||!e.hasTextData()||a.get("text-optional")),!0);!e.collisionArrays&&n&&(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData())&&e.deserializeCollisionBoxes(n);for(var d=function(t,e,r){for(var n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r)},v=function(n){var a=e.symbolInstances.get(n),s=a.numHorizontalGlyphVertices,l=a.numVerticalGlyphVertices,v=a.crossTileID,g=r[v],y=i.opacities[v];g?y=o:y||(y=p,i.opacities[v]=y),r[v]=!0;var m=s>0||l>0,x=a.numIconVertices>0,b=i.placedOrientations[a.crossTileID],_=b===t.WritingMode.vertical,w=b===t.WritingMode.horizontal||b===t.WritingMode.horizontalOnly;if(m){var T=De(y.text),A=_?ze:T;d(e.text,s,A);var k=w?ze:T;d(e.text,l,k);var M=y.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach(function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||_?1:0)}),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=M||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,b);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,"left",a,E),i.markUsedOrientation(e,E,a))}if(x){var L=De(y.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:ze;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=y.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var O=C?ze:L;d(e.icon,a.numVerticalIconVertices,O),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=y.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var I=e.collisionArrays[n];if(I){var D=new t.Point(0,0);if(I.textBox||I.verticalTextBox){var z=!0;if(u){var R=i.variableOffsets[v];R?(D=Te(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),c&&D._rotate(f?i.transform.angle:-i.transform.angle)):z=!1}I.textBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||_,D.x,D.y),I.verticalTextBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||w,D.x,D.y)}var F=Boolean(!w&&I.verticalIconBox);I.iconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,F,h?D.x:0,h?D.y:0),I.verticalIconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,!F,h?D.x:0,h?D.y:0)}}},g=0;g<e.symbolInstances.length;g++)v(g);if(e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexBuffer&&e.iconCollisionBox.collisionVertexBuffer.updateData(e.iconCollisionBox.collisionVertexArray),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexBuffer&&e.textCollisionBox.collisionVertexBuffer.updateData(e.textCollisionBox.collisionVertexArray),e.bucketInstanceId in this.collisionCircleArrays){var y=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=y.invProjMatrix,e.placementViewportMatrix=y.viewportMatrix,e.collisionCircleArray=y.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},ke.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},ke.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},ke.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},ke.prototype.stillRecent=function(t,e){var r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t},ke.prototype.setStale=function(){this.stale=!0};var Se=Math.pow(2,25),Ee=Math.pow(2,24),Le=Math.pow(2,17),Ce=Math.pow(2,16),Pe=Math.pow(2,9),Oe=Math.pow(2,8),Ie=Math.pow(2,1);function De(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*Se+e*Ee+r*Le+e*Ce+r*Pe+e*Oe+r*Ie+e}var ze=0,Re=function(t){this._sortAcrossTiles="viewport-y"!==t.layout.get("symbol-z-order")&&void 0!==t.layout.get("symbol-sort-key").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Re.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex<t.length;){var o=t[this._currentTileIndex];if(e.getBucketParts(a,n,o,this._sortAcrossTiles),this._currentTileIndex++,i())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,a.sort(function(t,e){return t.sortKey-e.sortKey}));this._currentPartIndex<a.length;){var s=a[this._currentPartIndex];if(e.placeLayerBucketPart(s,this._seenCrossTileIDs,r),this._currentPartIndex++,i())return!0}return!1};var Fe=function(t,e,r,n,i,a,o){this.placement=new ke(t,i,a,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};Fe.prototype.isDone=function(){return this._done},Fe.prototype.continuePlacement=function(e,r,n){for(var i=this,a=t.browser.now(),o=function(){var e=t.browser.now()-a;return!i._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if("symbol"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Re(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},Fe.prototype.commit=function(t){return this.placement.commit(t),this.placement};var Be=512/t.EXTENT/2,Ne=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var i=e.get(n),a=i.key;this.indexedSymbolInstances[a]||(this.indexedSymbolInstances[a]=[]),this.indexedSymbolInstances[a].push({crossTileID:i.crossTileID,coord:this.getScaledCoordinates(i,t)})}};Ne.prototype.getScaledCoordinates=function(e,r){var n=r.canonical.z-this.tileID.canonical.z,i=Be/Math.pow(2,n);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*i),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*i)}},Ne.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),i=0;i<t.length;i++){var a=t.get(i);if(!a.crossTileID){var o=this.indexedSymbolInstances[a.key];if(o)for(var s=this.getScaledCoordinates(a,e),l=0,u=o;l<u.length;l+=1){var c=u[l];if(Math.abs(c.coord.x-s.x)<=n&&Math.abs(c.coord.y-s.y)<=n&&!r[c.crossTileID]){r[c.crossTileID]=!0,a.crossTileID=c.crossTileID;break}}}}};var je=function(){this.maxCrossTileID=0};je.prototype.generate=function(){return++this.maxCrossTileID};var Ue=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Ue.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],i={};for(var a in n){var o=n[a];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),i[o.tileID.key]=o}this.indexes[r]=i}this.lng=t},Ue.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++)e.symbolInstances.get(n).crossTileID=0;this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var i=this.usedCrossTileIDs[t.overscaledZ];for(var a in this.indexes){var o=this.indexes[a];if(Number(a)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var u=o[t.scaledTo(Number(a)).key];u&&u.findMatches(e.symbolInstances,t,i)}}for(var c=0;c<e.symbolInstances.length;c++){var f=e.symbolInstances.get(c);f.crossTileID||(f.crossTileID=r.generate(),i[f.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new Ne(t,e.symbolInstances,e.bucketInstanceId),!0},Ue.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,i=e.indexedSymbolInstances[r];n<i.length;n+=1){var a=i[n];delete this.usedCrossTileIDs[t][a.crossTileID]}},Ue.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var i in n)t[n[i].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[i]),delete n[i],e=!0)}return e};var Ve=function(){this.layerIndexes={},this.crossTileIDs=new je,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Ve.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Ue);var i=!1,a={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],u=l.getBucket(t);u&&t.id===u.layerIds[0]&&(u.bucketInstanceId||(u.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,u,this.crossTileIDs)&&(i=!0),a[u.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i},Ve.prototype.pruneUnusedLayers=function(t){var e={};for(var r in t.forEach(function(t){e[t]=!0}),this.layerIndexes)e[r]||delete this.layerIndexes[r]};var He=function(e,r){return t.emitValidationErrors(e,r&&r.filter(function(t){return"source.canvas"!==t.identifier}))},qe=t.pick(Ht,["addLayer","removeLayer","setPaintProperty","setLayoutProperty","setFilter","addSource","removeSource","setLayerZoomRange","setLight","setTransition","setGeoJSONSourceData"]),Ge=t.pick(Ht,["setCenter","setZoom","setBearing","setPitch"]),Ye=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var i=t.styleSpec.$root[n];if(i.required){var a;null!=(a="version"===n?r:"array"===i.type?[]:{})&&(e[n]=a)}}return e}(),We=function(e){function r(n,i){var a=this;void 0===i&&(i={}),e.call(this),this.map=n,this.dispatcher=new k(jt(),this),this.imageManager=new h,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,i.localIdeographFontFamily),this.lineAtlas=new A(256,512),this.crossTileSymbolIndex=new Ve,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast("setReferrer",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginStateChange(function(e){var r={pluginStatus:e.pluginStatus,pluginURL:e.pluginURL};o.dispatcher.broadcast("syncRTLPluginState",r,function(e,r){if(t.triggerPluginCompletionEvent(e),r&&r.every(function(t){return t}))for(var n in o.sourceCaches)o.sourceCaches[n].reload()})}),this.on("data",function(t){if("source"===t.dataType&&"metadata"===t.sourceDataType){var e=a.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in a._layers){var i=a._layers[n];i.source===r.id&&a._validateLayer(i)}}}})}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event("dataloading",{dataType:"style"}));var i="boolean"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var a=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(a,function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,i)})},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event("dataloading",{dataType:"style"})),this._request=t.browser.frame(function(){n._request=null,n._load(e,!1!==r.validate)})},r.prototype.loadEmpty=function(){this.fire(new t.Event("dataloading",{dataType:"style"})),this._load(Ye,!1)},r.prototype._load=function(e,r){if(!r||!He(this,t.validateStyle(e))){for(var n in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(n,e.sources[n],{validate:!1});e.sprite?this._loadSprite(e.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var i=Vt(this.stylesheet.layers);this._order=i.map(function(t){return t.id}),this._layers={},this._serializedLayers={};for(var a=0,o=i;a<o.length;a+=1){var s=o[a];(s=t.createStyleLayer(s)).setEventedParent(this,{layer:{id:s.id}}),this._layers[s.id]=s,this._serializedLayers[s.id]=s.serialize()}this.dispatcher.broadcast("setLayers",this._serializeLayers(this._order)),this.light=new T(this.stylesheet.light),this.fire(new t.Event("data",{dataType:"style"})),this.fire(new t.Event("style.load"))}},r.prototype._loadSprite=function(e){var r=this;this._spriteRequest=function(e,r,n){var i,a,o,s=t.browser.devicePixelRatio>1?"@2x":"",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,".json"),t.ResourceType.SpriteJSON),function(t,e){l=null,o||(o=t,i=e,c())}),u=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,".png"),t.ResourceType.SpriteImage),function(t,e){u=null,o||(o=t,a=e,c())});function c(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],u=l.width,c=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,v=l.stretchX,g=l.stretchY,y=l.content,m=new t.RGBAImage({width:u,height:c});t.RGBAImage.copy(e,m,{x:f,y:h},{x:0,y:0},{width:u,height:c}),r[s]={data:m,pixelRatio:d,sdf:p,stretchX:v,stretchY:g,content:y}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),u&&(u.cancel(),u=null)}}}(e,this.map._requestManager,function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast("setImages",r._availableImages),r.fire(new t.Event("data",{dataType:"style"}))})},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();("geojson"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer "'+n+'" does not exist on source "'+i.id+'" as specified by style layer "'+e.id+'"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=this._layers[i];"custom"!==a.type&&e.push(a.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error("Style is not done loading")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),i=Object.keys(this._removedLayers);for(var a in(n.length||i.length)&&this._updateWorkerLayers(n,i),this._updatedSources){var o=this._updatedSources[a];"reload"===o?this._reloadSource(a):"clear"===o&&this._clearSource(a)}for(var s in this._updateTilesForChangedImages(),this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}for(var l in this.sourceCaches)this.sourceCaches[l].used=!1;for(var u=0,c=this._order;u<c.length;u+=1){var f=c[u],h=this._layers[f];h.recalculate(e,this._availableImages),!h.isHidden(e.zoom)&&h.source&&(this.sourceCaches[h.source].used=!0)}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event("data",{dataType:"style"}))}},r.prototype._updateTilesForChangedImages=function(){var t=Object.keys(this._changedImages);if(t.length){for(var e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies(["icons","patterns"],t);this._changedImages={}}},r.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast("updateLayers",{layers:this._serializeLayers(t),removedIds:e})},r.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),He(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=Vt(e.layers);var n=Kt(this.serialize(),e).filter(function(t){return!(t.command in Ge)});if(0===n.length)return!1;var i=n.filter(function(t){return!(t.command in qe)});if(i.length>0)throw new Error("Unimplemented: "+i.map(function(t){return t.command}).join(", ")+".");return n.forEach(function(t){"setTransition"!==t.command&&r[t.command].apply(r,t.args)}),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error("An image with this name already exists.")));this.imageManager.addImage(e,r),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event("data",{dataType:"style"}))},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error("No image with this name exists.")));this.imageManager.removeImage(e),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event("data",{dataType:"style"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error("There is already a source with this ID");if(!r.type)throw new Error("The type property must be defined, but the only the following properties were given: "+Object.keys(r).join(", ")+".");if(!(["vector","raster","geojson","video","image"].indexOf(r.type)>=0&&this._validate(t.validateStyle.source,"sources."+e,r,null,n))){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Ot(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}}),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error("There is no source with this ID");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source "'+e+'" cannot be removed while layer "'+r+'" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event("data",{sourceDataType:"metadata",dataType:"source",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id "'+i+'" already exists on this map')));else{var a;if("custom"===e.type){if(He(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if("object"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,"layers."+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id "'+r+'" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&"custom"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]="clear":(this._updatedSources[a.source]="reload",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id "'+r+'" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be moved.")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be removed.")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot have zoom extent.")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,"layers."+i.id+".filter",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be filtered.")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be styled.")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style.")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be styled.")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;"geojson"===o&&i?this.fire(new t.ErrorEvent(new Error("GeoJSON sources cannot have a sourceLayer parameter."))):"vector"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error("The feature id parameter must be provided."))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+n+"' does not exist in the map's style.")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o="vector"===a?e.sourceLayer:void 0;"vector"!==a||o?r&&"string"!=typeof e.id&&"number"!=typeof e.id?this.fire(new t.ErrorEvent(new Error("A feature id is requred to remove its specific state property."))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+n+"' does not exist in the map's style.")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if("vector"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error("The feature id parameter must be provided."))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+r+"' does not exist in the map's style.")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,function(t){return t.serialize()}),layers:this._serializeLayers(this._order)},function(t){return void 0!==t})},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&"raster"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]="reload",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return"fill-extrusion"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s<l.length;s+=1){var u=l[s][o];if(u)for(var c=0,f=u;c<f.length;c+=1){var h=f[c];i.push(h)}}}}i.sort(function(t,e){return e.intersectionZ-t.intersectionZ});for(var p=[],d=this._order.length-1;d>=0;d--){var v=this._order[d];if(r(v))for(var g=i.length-1;g>=0;g--){var y=i[g].feature;if(n[y.layer.id]<d)break;p.push(y),i.pop()}else for(var m=0,x=t;m<x.length;m+=1){var b=x[m][v];if(b)for(var _=0,w=b;_<w.length;_+=1){var T=w[_];p.push(T.feature)}}}return p},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,"queryRenderedFeatures.filter",r.filter,null,r);var i={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new t.ErrorEvent(new Error("parameters.layers must be an Array."))),[];for(var a=0,o=r.layers;a<o.length;a+=1){var s=o[a],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error("The layer '"+s+"' does not exist in the map's style and cannot be queried for features."))),[];i[l.source]=!0}}var u=[];for(var c in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!i[c]||u.push(B(this.sourceCaches[c],this._layers,this._serializedLayers,e,r,n));return this.placement&&u.push(function(t,e,r,n,i,a,o){for(var s={},l=a.queryRenderedSymbols(n),u=[],c=0,f=Object.keys(l).map(Number);c<f.length;c+=1){var h=f[c];u.push(o[h])}u.sort(N);for(var p=function(){var r=v[d],n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,i.filter,i.layers,i.availableImages,t);for(var a in n){var o=s[a]=s[a]||[],u=n[a];u.sort(function(t,e){var n=r.featureSortOrder;if(n){var i=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-i}return e.featureIndex-t.featureIndex});for(var c=0,f=u;c<f.length;c+=1){var h=f[c];o.push(h)}}},d=0,v=u;d<v.length;d+=1)p();var g=function(e){s[e].forEach(function(n){var i=n.feature,a=t[e],o=r[a.source].getFeatureState(i.layer["source-layer"],i.id);i.source=i.layer.source,i.layer["source-layer"]&&(i.sourceLayer=i.layer["source-layer"]),i.state=o})};for(var y in s)g(y);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(u)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,"querySourceFeatures.filter",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map(function(e){return t.getTileByID(e)}),n=[],i={},a=0;a<r.length;a++){var o=r[a],s=o.tileID.canonical.key;i[s]||(i[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called "'+t+'" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast("loadWorkerSource",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),i=!1;for(var a in e)if(!t.deepEqual(e[a],n[a])){i=!0;break}if(i){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,i,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&He(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},i)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off("pluginStateChange",this._rtlTextPluginCallback),this._layers)this._layers[e].setEventedParent(null);for(var r in this.sourceCaches)this.sourceCaches[r].clearTiles(),this.sourceCaches[r].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,i,a){void 0===a&&(a=!1);for(var o=!1,s=!1,l={},u=0,c=this._order;u<c.length;u+=1){var f=c[u],h=this._layers[f];if("symbol"===h.type){if(!l[h.source]){var p=this.sourceCaches[h.source];l[h.source]=p.getRenderableIds(!0).map(function(t){return p.getTileByID(t)}).sort(function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)})}var d=this.crossTileSymbolIndex.addLayer(h,l[h.source],e.center.lng);o=o||d}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((a=a||this._layerOrderChanged||0===n)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now(),e.zoom))&&(this.pauseablePlacement=new Fe(e,this._order,a,r,n,i,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(var v=0,g=this._order;v<g.length;v+=1){var y=g[v],m=this._layers[y];"symbol"===m.type&&this.placement.updateLayerOpacities(m,l[m.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(t.browser.now())},r.prototype._releaseSymbolFadeTiles=function(){for(var t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()},r.prototype.getImages=function(t,e,r){this.imageManager.getImages(e.icons,r),this._updateTilesForChangedImages();var n=this.sourceCaches[e.source];n&&n.setDependencies(e.tileID.key,e.type,e.icons)},r.prototype.getGlyphs=function(t,e,r){this.glyphManager.getGlyphs(e.stacks,r)},r.prototype.getResource=function(e,r,n){return t.makeRequest(r,n)},r}(t.Evented);We.getSourceType=function(t){return R[t]},We.setSourceType=function(t,e){R[t]=e},We.registerForPluginStateChange=t.registerForPluginStateChange;var Ze=t.createLayout([{name:"a_pos",type:"Int16",components:2}]),Xe=_r("#ifdef GL_ES\nprecision mediump float;\n#else\n#if !defined(lowp)\n#define lowp\n#endif\n#if !defined(mediump)\n#define mediump\n#endif\n#if !defined(highp)\n#define highp\n#endif\n#endif","#ifdef GL_ES\nprecision highp float;\n#else\n#if !defined(lowp)\n#define lowp\n#endif\n#if !defined(mediump)\n#define mediump\n#endif\n#if !defined(highp)\n#define highp\n#endif\n#endif\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}"),Je=_r("uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}"),Ke=_r("uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}"),$e=_r("varying vec3 v_data;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define mediump float radius\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define highp vec4 stroke_color\n#pragma mapbox: define mediump float stroke_width\n#pragma mapbox: define lowp float stroke_opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize mediump float radius\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize highp vec4 stroke_color\n#pragma mapbox: initialize mediump float stroke_width\n#pragma mapbox: initialize lowp float stroke_opacity\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define mediump float radius\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define highp vec4 stroke_color\n#pragma mapbox: define mediump float stroke_width\n#pragma mapbox: define lowp float stroke_opacity\nvoid main(void) {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize mediump float radius\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize highp vec4 stroke_color\n#pragma mapbox: initialize mediump float stroke_width\n#pragma mapbox: initialize lowp float stroke_opacity\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}"),Qe=_r("void main() {gl_FragColor=vec4(1.0);}","attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}"),tr=_r("uniform highp float u_intensity;varying vec2 v_extrude;\n#pragma mapbox: define highp float weight\n#define GAUSS_COEF 0.3989422804014327\nvoid main() {\n#pragma mapbox: initialize highp float weight\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\n#pragma mapbox: define highp float weight\n#pragma mapbox: define mediump float radius\nconst highp float ZERO=1.0/255.0/16.0;\n#define GAUSS_COEF 0.3989422804014327\nvoid main(void) {\n#pragma mapbox: initialize highp float weight\n#pragma mapbox: initialize mediump float radius\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}"),er=_r("uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(0.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}"),rr=_r("varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}","attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}"),nr=_r("varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}","attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}"),ir=_r("uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}","attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}"),ar=_r("#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float opacity\ngl_FragColor=color*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","attribute vec2 a_pos;uniform mat4 u_matrix;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float opacity\ngl_Position=u_matrix*vec4(a_pos,0,1);}"),or=_r("varying vec2 v_pos;\n#pragma mapbox: define highp vec4 outline_color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 outline_color\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\n#pragma mapbox: define highp vec4 outline_color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 outline_color\n#pragma mapbox: initialize lowp float opacity\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}"),sr=_r("uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}"),lr=_r("uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}"),ur=_r("varying vec4 v_color;void main() {gl_FragColor=v_color;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\n#pragma mapbox: define highp float base\n#pragma mapbox: define highp float height\n#pragma mapbox: define highp vec4 color\nvoid main() {\n#pragma mapbox: initialize highp float base\n#pragma mapbox: initialize highp float height\n#pragma mapbox: initialize highp vec4 color\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}"),cr=_r("uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n#pragma mapbox: define lowp float base\n#pragma mapbox: define lowp float height\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float base\n#pragma mapbox: initialize lowp float height\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n#pragma mapbox: define lowp float base\n#pragma mapbox: define lowp float height\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float base\n#pragma mapbox: initialize lowp float height\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\n? a_pos\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}"),fr=_r("#ifdef GL_ES\nprecision highp float;\n#endif\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform float u_maxzoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggeration=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/ pow(2.0,(u_zoom-u_maxzoom)*exaggeration+19.2562-u_zoom);gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}"),hr=_r("uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\n#define PI 3.141592653589793\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}"),pr=_r("uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}"),dr=_r("uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp float v_lineprogress;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,vec2(v_lineprogress,0.5));gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define MAX_LINE_DISTANCE 32767.0\n#define scale 0.015873016\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_lineprogress;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_lineprogress=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0/MAX_LINE_DISTANCE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}"),vr=_r("uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\n#define LINE_DISTANCE_SCALE 2.0\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}"),gr=_r("uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\n#define LINE_DISTANCE_SCALE 2.0\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}"),yr=_r("uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}"),mr=_r("uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}"),xr=_r("#define SDF_PX 8.0\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}"),br=_r("#define SDF_PX 8.0\n#define SDF 1.0\n#define ICON 0.0\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}");function _r(t,e){var r=/#pragma mapbox: ([\w]+) ([\w]+) ([\w]+) ([\w]+)/g,n={};return{fragmentSource:t=t.replace(r,function(t,e,r,i,a){return n[a]=!0,"define"===e?"\n#ifndef HAS_UNIFORM_u_"+a+"\nvarying "+r+" "+i+" "+a+";\n#else\nuniform "+r+" "+i+" u_"+a+";\n#endif\n":"\n#ifdef HAS_UNIFORM_u_"+a+"\n    "+r+" "+i+" "+a+" = u_"+a+";\n#endif\n"}),vertexSource:e=e.replace(r,function(t,e,r,i,a){var o="float"===i?"vec2":"vec4",s=a.match(/color/)?"color":o;return n[a]?"define"===e?"\n#ifndef HAS_UNIFORM_u_"+a+"\nuniform lowp float u_"+a+"_t;\nattribute "+r+" "+o+" a_"+a+";\nvarying "+r+" "+i+" "+a+";\n#else\nuniform "+r+" "+i+" u_"+a+";\n#endif\n":"vec4"===s?"\n#ifndef HAS_UNIFORM_u_"+a+"\n    "+a+" = a_"+a+";\n#else\n    "+r+" "+i+" "+a+" = u_"+a+";\n#endif\n":"\n#ifndef HAS_UNIFORM_u_"+a+"\n    "+a+" = unpack_mix_"+s+"(a_"+a+", u_"+a+"_t);\n#else\n    "+r+" "+i+" "+a+" = u_"+a+";\n#endif\n":"define"===e?"\n#ifndef HAS_UNIFORM_u_"+a+"\nuniform lowp float u_"+a+"_t;\nattribute "+r+" "+o+" a_"+a+";\n#else\nuniform "+r+" "+i+" u_"+a+";\n#endif\n":"vec4"===s?"\n#ifndef HAS_UNIFORM_u_"+a+"\n    "+r+" "+i+" "+a+" = a_"+a+";\n#else\n    "+r+" "+i+" "+a+" = u_"+a+";\n#endif\n":"\n#ifndef HAS_UNIFORM_u_"+a+"\n    "+r+" "+i+" "+a+" = unpack_mix_"+s+"(a_"+a+", u_"+a+"_t);\n#else\n    "+r+" "+i+" "+a+" = u_"+a+";\n#endif\n"})}}var wr=Object.freeze({__proto__:null,prelude:Xe,background:Je,backgroundPattern:Ke,circle:$e,clippingMask:Qe,heatmap:tr,heatmapTexture:er,collisionBox:rr,collisionCircle:nr,debug:ir,fill:ar,fillOutline:or,fillOutlinePattern:sr,fillPattern:lr,fillExtrusion:ur,fillExtrusionPattern:cr,hillshadePrepare:fr,hillshade:hr,line:pr,lineGradient:dr,linePattern:vr,lineSDF:gr,raster:yr,symbolIcon:mr,symbolSDF:xr,symbolTextAndIcon:br}),Tr=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};Tr.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,u=0;!l&&u<n.length;u++)this.boundPaintVertexBuffers[u]!==n[u]&&(l=!0);var c=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||l||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||c?this.freshBind(e,r,n,i,a,o,s):(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind())},Tr.prototype.freshBind=function(t,e,r,n,i,a,o){var s,l=t.numAttributes,u=this.context,c=u.gl;if(u.extVertexArrayObject)this.vao&&this.destroy(),this.vao=u.extVertexArrayObject.createVertexArrayOES(),u.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=i,this.boundDynamicVertexBuffer=a,this.boundDynamicVertexBuffer2=o;else{s=u.currentNumAttributes||0;for(var f=l;f<s;f++)c.disableVertexAttribArray(f)}e.enableAttributes(c,t);for(var h=0,p=r;h<p.length;h+=1)p[h].enableAttributes(c,t);a&&a.enableAttributes(c,t),o&&o.enableAttributes(c,t),e.bind(),e.setVertexAttribPointers(c,t,i);for(var d=0,v=r;d<v.length;d+=1){var g=v[d];g.bind(),g.setVertexAttribPointers(c,t,i)}a&&(a.bind(),a.setVertexAttribPointers(c,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(c,t,i)),u.currentNumAttributes=l},Tr.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var Ar=function(t,e,r,n,i){var a=t.gl;this.program=a.createProgram();var o=r?r.defines():[];i&&o.push("#define OVERDRAW_INSPECTOR;");var s=o.concat(Xe.fragmentSource,e.fragmentSource).join("\n"),l=o.concat(Xe.vertexSource,e.vertexSource).join("\n"),u=a.createShader(a.FRAGMENT_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(u,s),a.compileShader(u),a.attachShader(this.program,u);var c=a.createShader(a.VERTEX_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(c,l),a.compileShader(c),a.attachShader(this.program,c);for(var f=r?r.layoutAttributes:[],h=0;h<f.length;h++)a.bindAttribLocation(this.program,h,f[h].name);a.linkProgram(this.program),a.deleteShader(c),a.deleteShader(u),this.numAttributes=a.getProgramParameter(this.program,a.ACTIVE_ATTRIBUTES),this.attributes={};for(var p={},d=0;d<this.numAttributes;d++){var v=a.getActiveAttrib(this.program,d);v&&(this.attributes[v.name]=a.getAttribLocation(this.program,v.name))}for(var g=a.getProgramParameter(this.program,a.ACTIVE_UNIFORMS),y=0;y<g;y++){var m=a.getActiveUniform(this.program,y);m&&(p[m.name]=a.getUniformLocation(this.program,m.name))}this.fixedUniforms=n(t,p),this.binderUniforms=r?r.getUniforms(t,p):[]}}};function kr(t,e,r){var n=1/ge(r,1,e.transform.tileZoom),i=Math.pow(2,r.tileID.overscaledZ),a=r.tileSize*Math.pow(2,e.transform.tileZoom)/i,o=a*(r.tileID.canonical.x+r.tileID.wrap*i),s=a*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}Ar.prototype.draw=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=t.gl;if(!this.failedToCreate){for(var m in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[m].set(o[m]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(g={},g[y.LINES]=2,g[y.TRIANGLES]=3,g[y.LINE_STRIP]=1,g)[e],b=0,_=c.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new Tr)).bind(t,this,l,p?p.getPaintVertexBuffers():[],u,w.vertexOffset,d,v),y.drawElements(e,w.primitiveLength*x,y.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Mr=function(e,r,n,i){var a=r.style.light,o=a.properties.get("position"),s=[o.x,o.y,o.z],l=t.create$1();"viewport"===a.properties.get("anchor")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var u=a.properties.get("color");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get("intensity"),u_lightcolor:[u.r,u.g,u.b],u_vertical_gradient:+n,u_opacity:i}},Sr=function(e,r,n,i,a,o,s){return t.extend(Mr(e,r,n,i),kr(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Er=function(t){return{u_matrix:t}},Lr=function(e,r,n,i){return t.extend(Er(e),kr(n,r,i))},Cr=function(t,e){return{u_matrix:t,u_world:e}},Pr=function(e,r,n,i,a){return t.extend(Lr(e,r,n,i),{u_world:a})},Or=function(e,r,n,i){var a,o,s=e.transform;if("map"===i.paint.get("circle-pitch-alignment")){var l=ge(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+("map"===i.paint.get("circle-pitch-scale")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get("circle-translate"),i.paint.get("circle-translate-anchor")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Ir=function(t,e,r){var n=ge(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},Dr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},zr=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Rr=function(t){return{u_matrix:t}},Fr=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:ge(e,1,r),u_intensity:n}};var Br=function(e,r,n){var i=e.transform;return{u_matrix:Hr(e,r,n),u_ratio:1/ge(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},Nr=function(e,r,n){return t.extend(Br(e,r,n),{u_image:0})},jr=function(e,r,n,i){var a=e.transform,o=Vr(r,a);return{u_matrix:Hr(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/ge(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Ur=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=Vr(r,o),u="round"===n.layout.get("line-cap"),c=s.getDash(i.from,u),f=s.getDash(i.to,u),h=c.width*a.fromScale,p=f.width*a.toScale;return t.extend(Br(e,r,n),{u_patternscale_a:[l/h,-c.height/2],u_patternscale_b:[l/p,-f.height/2],u_sdfgamma:s.width/(256*Math.min(h,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:c.y,u_tex_y_b:f.y,u_mix:a.t})};function Vr(t,e){return 1/ge(t,1,e.tileZoom)}function Hr(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get("line-translate"),r.paint.get("line-translate-anchor"))}var qr=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get("raster-opacity"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get("raster-brightness-min"),u_brightness_high:i.paint.get("raster-brightness-max"),u_saturation_factor:(o=i.paint.get("raster-saturation"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get("raster-contrast"),a>0?1/(1-a):1+a),u_spin_weights:Gr(i.paint.get("raster-hue-rotate"))};var a,o};function Gr(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var Yr,Wr=function(t,e,r,n,i,a,o,s,l,u){var c=i.transform;return{u_is_size_zoom_constant:+("constant"===t||"source"===t),u_is_size_feature_constant:+("constant"===t||"camera"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:c.cameraToCenterDistance,u_pitch:c.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:c.width/c.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:u,u_texture:0}},Zr=function(e,r,n,i,a,o,s,l,u,c,f){var h=a.transform;return t.extend(Wr(e,r,n,i,a,o,s,l,u,c),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},Xr=function(e,r,n,i,a,o,s,l,u,c){return t.extend(Zr(e,r,n,i,a,o,s,l,!0,u,!0),{u_texsize_icon:c,u_texture_icon:1})},Jr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},Kr=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,u=Math.pow(2,n.tileID.overscaledZ),c=n.tileSize*Math.pow(2,r.transform.tileZoom)/u,f=c*(n.tileID.canonical.x+n.tileID.wrap*u),h=c*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/ge(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},$r={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_maxzoom:new t.Uniform1f(e,r.u_maxzoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function Qr(e,r,n,i,a,o,s){for(var l=e.context,u=l.gl,c=e.useProgram("collisionBox"),f=[],h=0,p=0,d=0;d<i.length;d++){var v=i[d],g=r.getTile(v),y=g.getBucket(n);if(y){var m=v.posMatrix;0===a[0]&&0===a[1]||(m=e.translatePosMatrix(v.posMatrix,g,a,o));var x=s?y.textCollisionBox:y.iconCollisionBox,b=y.collisionCircleArray;if(b.length>0){var _=t.create(),w=m;t.mul(_,y.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,y.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&c.draw(l,u.LINES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,Ir(m,e.transform,g),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram("collisionCircle"),A=new t.StructArrayLayout2f1f2i16;A.resize(4*h),A._trim();for(var k=0,M=0,S=f;M<S.length;M+=1)for(var E=S[M],L=0;L<E.circleArray.length/4;L++){var C=4*L,P=E.circleArray[C+0],O=E.circleArray[C+1],I=E.circleArray[C+2],D=E.circleArray[C+3];A.emplace(k++,P,O,I,D,0),A.emplace(k++,P,O,I,D,1),A.emplace(k++,P,O,I,D,2),A.emplace(k++,P,O,I,D,3)}(!Yr||Yr.length<2*h)&&(Yr=function(e){var r=2*e,n=new t.StructArrayLayout3ui6;n.resize(r),n._trim();for(var i=0;i<r;i++){var a=6*i;n.uint16[a+0]=4*i+0,n.uint16[a+1]=4*i+1,n.uint16[a+2]=4*i+2,n.uint16[a+3]=4*i+2,n.uint16[a+4]=4*i+3,n.uint16[a+5]=4*i+0}return n}(h));for(var z=l.createIndexBuffer(Yr,!0),R=l.createVertexBuffer(A,t.collisionCircleLayout.members,!0),F=0,B=f;F<B.length;F+=1){var N=B[F],j=Dr(N.transform,N.invTransform,e.transform);T.draw(l,u.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,j,n.id,R,z,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),z.destroy()}}var tn=t.identity(new Float32Array(16));function en(e,r,n,i,a,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,u=-(s.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,i);return new t.Point((l/a+c[0])*o,(u/a+c[1])*o)}function rn(e,r,n,i,a,o,s,l,u,c,f){var h=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,v={};p.clear();for(var g=0;g<h.length;g++){var y=h.get(g),m=e.allowVerticalPlacement&&!y.placedOrientation,x=y.hidden||!y.crossTileID||m?null:i[y.crossTileID];if(x){var b=new t.Point(y.anchorX,y.anchorY),_=re(b,n?l:s),w=ne(o.cameraToCenterDistance,_.signedDistanceFromCamera),T=a.evaluateSizeForFeature(e.textSizeData,c,y)*w/t.ONE_EM;n&&(T*=e.tilePixelRatio/u);for(var A=x.width,k=x.height,M=en(x.anchor,A,k,x.textOffset,x.textBoxScale,T),S=n?re(b.add(M),s).point:_.point.add(r?M.rotate(-o.angle):M),E=e.allowVerticalPlacement&&y.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,L=0;L<y.numGlyphs;L++)t.addDynamicAttributes(p,S,E);f&&y.associatedIconIndex>=0&&(v[y.associatedIconIndex]={shiftedAnchor:S,angle:E})}else he(y.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P<C.length;P++){var O=C.get(P);if(O.hidden)he(O.numGlyphs,d);else{var I=v[P];if(I)for(var D=0;D<O.numGlyphs;D++)t.addDynamicAttributes(d,I.shiftedAnchor,I.angle);else he(O.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function nn(t,e,r){return r.iconsInText&&e?"symbolTextAndIcon":t?"symbolSDF":"symbolIcon"}function an(e,r,n,i,a,o,s,l,u,c,f,h){for(var p=e.context,d=p.gl,v=e.transform,g="map"===l,y="map"===u,m=g&&"point"!==n.layout.get("symbol-placement"),x=g&&!y&&!m,b=void 0!==n.layout.get("symbol-sort-key").constantOr(1),_=e.depthModeForSublayer(0,Mt.ReadOnly),w=n.layout.get("text-variable-anchor"),T=[],A=0,k=i;A<k.length;A+=1){var M=k[A],S=r.getTile(M),E=S.getBucket(n);if(E){var L=a?E.text:E.icon;if(L&&L.segments.get().length){var C=L.programConfigurations.get(n.id),P=a||E.sdfIcons,O=a?E.textSizeData:E.iconSizeData,I=y||0!==v.pitch,D=e.useProgram(nn(P,a,E),C),z=t.evaluateSizeForZoom(O,v.zoom),R=void 0,F=[0,0],B=void 0,N=void 0,j=null,U=void 0;if(a){if(B=S.glyphAtlasTexture,N=d.LINEAR,R=S.glyphAtlasTexture.size,E.iconsInText){F=S.imageAtlasTexture.size,j=S.imageAtlasTexture;var 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rt=et[tt];T.push({segments:new t.SegmentVector([rt]),sortKey:rt.sortKey,state:Q})}else T.push({segments:L.segments,sortKey:0,state:Q})}}}b&&T.sort(function(t,e){return t.sortKey-e.sortKey});for(var nt=0,it=T;nt<it.length;nt+=1){var at=it[nt],ot=at.state;if(p.activeTexture.set(d.TEXTURE0),ot.atlasTexture.bind(ot.atlasInterpolation,d.CLAMP_TO_EDGE),ot.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),ot.atlasTextureIcon&&ot.atlasTextureIcon.bind(ot.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),ot.isSDF){var st=ot.uniformValues;ot.hasHalo&&(st.u_is_halo=1,on(ot.buffers,at.segments,n,e,ot.program,_,f,h,st)),st.u_is_halo=0}on(ot.buffers,at.segments,n,e,ot.program,_,f,h,ot.uniformValues)}}function on(t,e,r,n,i,a,o,s,l){var u=n.context,c=u.gl;i.draw(u,c.TRIANGLES,a,o,s,Ct.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function sn(t,e,r,n,i,a,o){var s,l,u,c,f,h=t.context.gl,p=r.paint.get("fill-pattern"),d=p&&p.constantOr(1),v=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty("fill-outline-color")?"fillOutlinePattern":"fillOutline",s=h.LINES):(l=d?"fillPattern":"fill",s=h.TRIANGLES);for(var g=0,y=n;g<y.length;g+=1){var m=y[g],x=e.getTile(m);if(!d||x.patternsLoaded()){var b=x.getBucket(r);if(b){var _=b.programConfigurations.get(r.id),w=t.useProgram(l,_);d&&(t.context.activeTexture.set(h.TEXTURE0),x.imageAtlasTexture.bind(h.LINEAR,h.CLAMP_TO_EDGE),_.updatePaintBuffers(v));var T=p.constantOr(null);if(T&&x.imageAtlas){var A=x.imageAtlas,k=A.patternPositions[T.to.toString()],M=A.patternPositions[T.from.toString()];k&&M&&_.setConstantPatternPositions(k,M)}var S=t.translatePosMatrix(m.posMatrix,x,r.paint.get("fill-translate"),r.paint.get("fill-translate-anchor"));if(o){c=b.indexBuffer2,f=b.segments2;var E=[h.drawingBufferWidth,h.drawingBufferHeight];u="fillOutlinePattern"===l&&d?Pr(S,t,v,x,E):Cr(S,E)}else c=b.indexBuffer,f=b.segments,u=d?Lr(S,t,v,x):Er(S);w.draw(t.context,s,i,t.stencilModeForClipping(m),a,Ct.disabled,u,r.id,b.layoutVertexBuffer,c,f,r.paint,t.transform.zoom,_)}}}}function ln(t,e,r,n,i,a,o){for(var s=t.context,l=s.gl,u=r.paint.get("fill-extrusion-pattern"),c=u.constantOr(1),f=r.getCrossfadeParameters(),h=r.paint.get("fill-extrusion-opacity"),p=0,d=n;p<d.length;p+=1){var v=d[p],g=e.getTile(v),y=g.getBucket(r);if(y){var m=y.programConfigurations.get(r.id),x=t.useProgram(c?"fillExtrusionPattern":"fillExtrusion",m);c&&(t.context.activeTexture.set(l.TEXTURE0),g.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),m.updatePaintBuffers(f));var b=u.constantOr(null);if(b&&g.imageAtlas){var _=g.imageAtlas,w=_.patternPositions[b.to.toString()],T=_.patternPositions[b.from.toString()];w&&T&&m.setConstantPatternPositions(w,T)}var A=t.translatePosMatrix(v.posMatrix,g,r.paint.get("fill-extrusion-translate"),r.paint.get("fill-extrusion-translate-anchor")),k=r.paint.get("fill-extrusion-vertical-gradient"),M=c?Sr(A,t,k,h,v,f,g):Mr(A,t,k,h);x.draw(s,s.gl.TRIANGLES,i,a,o,Ct.backCCW,M,r.id,y.layoutVertexBuffer,y.indexBuffer,y.segments,r.paint,t.transform.zoom,m)}}}function un(e,r,n,i,a,o){var s=e.context,l=s.gl,u=r.fbo;if(u){var c=e.useProgram("hillshade");s.activeTexture.set(l.TEXTURE0),l.bindTexture(l.TEXTURE_2D,u.colorAttachment.get());var f=function(e,r,n){var i=n.paint.get("hillshade-shadow-color"),a=n.paint.get("hillshade-highlight-color"),o=n.paint.get("hillshade-accent-color"),s=n.paint.get("hillshade-illumination-direction")*(Math.PI/180);"viewport"===n.paint.get("hillshade-illumination-anchor")&&(s-=e.transform.angle);var l,u,c,f=!e.options.moving;return{u_matrix:e.transform.calculatePosMatrix(r.tileID.toUnwrapped(),f),u_image:0,u_latrange:(l=r.tileID,u=Math.pow(2,l.canonical.z),c=l.canonical.y,[new t.MercatorCoordinate(0,c/u).toLngLat().lat,new t.MercatorCoordinate(0,(c+1)/u).toLngLat().lat]),u_light:[n.paint.get("hillshade-exaggeration"),s],u_shadow:i,u_highlight:a,u_accent:o}}(e,r,n);c.draw(s,l.TRIANGLES,i,a,o,Ct.disabled,f,n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments)}}function cn(e,r,n,i,a,o,s){var l=e.context,u=l.gl,c=r.dem;if(c&&c.data){var f=c.dim,h=c.stride,p=c.getPixels();if(l.activeTexture.set(u.TEXTURE1),l.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(h),r.demTexture){var d=r.demTexture;d.update(p,{premultiply:!1}),d.bind(u.NEAREST,u.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(l,p,u.RGBA,{premultiply:!1}),r.demTexture.bind(u.NEAREST,u.CLAMP_TO_EDGE);l.activeTexture.set(u.TEXTURE0);var v=r.fbo;if(!v){var g=new t.Texture(l,{width:f,height:f,data:null},u.RGBA);g.bind(u.LINEAR,u.CLAMP_TO_EDGE),(v=r.fbo=l.createFramebuffer(f,f,!0)).colorAttachment.set(g.texture)}l.bindFramebuffer.set(v.framebuffer),l.viewport.set([0,0,f,f]),e.useProgram("hillshadePrepare").draw(l,u.TRIANGLES,a,o,s,Ct.disabled,function(e,r,n){var i=r.stride,a=t.create();return t.ortho(a,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(a,a,[0,-t.EXTENT,0]),{u_matrix:a,u_image:1,u_dimension:[i,i],u_zoom:e.overscaledZ,u_maxzoom:n,u_unpack:r.getUnpackVector()}}(r.tileID,c,i),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function fn(e,r,n,i,a){var o=i.paint.get("raster-fade-duration");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,u=r?(s-r.timeAdded)/o:-1,c=n.getSource(),f=a.coveringZoomLevel({tileSize:c.tileSize,roundZoom:c.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-u,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var hn=new t.Color(1,0,0,1),pn=new t.Color(0,1,0,1),dn=new t.Color(0,0,1,1),vn=new t.Color(1,0,1,1),gn=new t.Color(0,1,1,1);function yn(t){var e=t.transform.padding;mn(t,t.transform.height-(e.top||0),3,hn),mn(t,e.bottom||0,3,pn),xn(t,e.left||0,3,dn),xn(t,t.transform.width-(e.right||0),3,vn);var r=t.transform.centerPoint;!function(t,e,r,n){var i=20,a=2;bn(t,e-a/2,r-i/2,a,i,n),bn(t,e-i/2,r-a/2,i,a,n)}(t,r.x,t.transform.height-r.y,gn)}function mn(t,e,r,n){bn(t,0,e+r/2,t.transform.width,r,n)}function xn(t,e,r,n){bn(t,e-r/2,0,r,t.transform.height,n)}function bn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function _n(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram("debug"),l=Mt.disabled,u=Et.disabled,c=e.colorModeForRenderPass(),f="$debug";i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,u,c,Ct.disabled,zr(o,t.Color.red),f,e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var h=r.getTileByID(n.key).latestRawTileData,p=h&&h.byteLength||0,d=Math.floor(p/1024),v=r.getTile(n).tileSize,g=512/Math.min(v,512)*(n.overscaledZ/e.transform.zoom)*.5,y=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(y+=" => "+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext("2d");i.clearRect(0,0,r.width,r.height),i.shadowColor="white",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle="white",i.textBaseline="top",i.font="bold 36px Open Sans, sans-serif",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,y+" 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_=Math.pow(2,l.zoom-d.tileID.overscaledZ);rn(v,u,c,s,t.symbolSize,l,x,p.posMatrix,_,y,b)}}}}(i,e,n,r,n.layout.get("text-rotation-alignment"),n.layout.get("text-pitch-alignment"),a),0!==n.paint.get("icon-opacity").constantOr(1)&&an(e,r,n,i,!1,n.paint.get("icon-translate"),n.paint.get("icon-translate-anchor"),n.layout.get("icon-rotation-alignment"),n.layout.get("icon-pitch-alignment"),n.layout.get("icon-keep-upright"),o,s),0!==n.paint.get("text-opacity").constantOr(1)&&an(e,r,n,i,!0,n.paint.get("text-translate"),n.paint.get("text-translate-anchor"),n.layout.get("text-rotation-alignment"),n.layout.get("text-pitch-alignment"),n.layout.get("text-keep-upright"),o,s),r.map.showCollisionBoxes&&(Qr(e,r,n,i,n.paint.get("text-translate"),n.paint.get("text-translate-anchor"),!0),Qr(e,r,n,i,n.paint.get("icon-translate"),n.paint.get("icon-translate-anchor"),!1))}},circle:function(e,r,n,i){if("translucent"===e.renderPass){var a=n.paint.get("circle-opacity"),o=n.paint.get("circle-stroke-width"),s=n.paint.get("circle-stroke-opacity"),l=void 0!==n.layout.get("circle-sort-key").constantOr(1);if(0!==a.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var u=e.context,c=u.gl,f=e.depthModeForSublayer(0,Mt.ReadOnly),h=Et.disabled,p=e.colorModeForRenderPass(),d=[],v=0;v<i.length;v++){var g=i[v],y=r.getTile(g),m=y.getBucket(n);if(m){var x=m.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram("circle",x),layoutVertexBuffer:m.layoutVertexBuffer,indexBuffer:m.indexBuffer,uniformValues:Or(e,g,y,n)};if(l)for(var _=0,w=m.segments.get();_<w.length;_+=1){var T=w[_];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:b})}else d.push({segments:m.segments,sortKey:0,state:b})}}l&&d.sort(function(t,e){return t.sortKey-e.sortKey});for(var A=0,k=d;A<k.length;A+=1){var M=k[A],S=M.state,E=S.programConfiguration,L=S.program,C=S.layoutVertexBuffer,P=S.indexBuffer,O=S.uniformValues,I=M.segments;L.draw(u,c.TRIANGLES,f,h,p,Ct.disabled,O,n.id,C,P,I,n.paint,e.transform.zoom,E)}}}},heatmap:function(e,r,n,i){if(0!==n.paint.get("heatmap-opacity"))if("offscreen"===e.renderPass){var a=e.context,o=a.gl,s=Et.disabled,l=new Lt([o.ONE,o.ONE],t.Color.transparent,[!0,!0,!0,!0]);(function(t,e,r){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var i=r.heatmapFbo;if(i)n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),t.bindFramebuffer.set(i.framebuffer);else{var a=n.createTexture();n.bindTexture(n.TEXTURE_2D,a),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),i=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1),function(t,e,r,n){var i=t.gl,a=t.extRenderToTextureHalfFloat?t.extTextureHalfFloat.HALF_FLOAT_OES:i.UNSIGNED_BYTE;i.texImage2D(i.TEXTURE_2D,0,i.RGBA,e.width/4,e.height/4,0,i.RGBA,a,null),n.colorAttachment.set(r)}(t,e,a,i)}})(a,e,n),a.clear({color:t.Color.transparent});for(var u=0;u<i.length;u++){var c=i[u];if(!r.hasRenderableParent(c)){var f=r.getTile(c),h=f.getBucket(n);if(h){var p=h.programConfigurations.get(n.id),d=e.useProgram("heatmap",p),v=e.transform.zoom;d.draw(a,o.TRIANGLES,Mt.disabled,s,l,Ct.disabled,Fr(c.posMatrix,f,v,n.paint.get("heatmap-intensity")),n.id,h.layoutVertexBuffer,h.indexBuffer,h.segments,n.paint,e.transform.zoom,p)}}}a.viewport.set([0,0,e.width,e.height])}else"translucent"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,i=n.gl,a=r.heatmapFbo;if(a){n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,a.colorAttachment.get()),n.activeTexture.set(i.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,i.RGBA)),o.bind(i.LINEAR,i.CLAMP_TO_EDGE),e.useProgram("heatmapTexture").draw(n,i.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,function(e,r,n,i){var a=t.create();t.ortho(a,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:i,u_opacity:r.paint.get("heatmap-opacity")}}(e,r,0,1),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}}(e,n))},line:function(e,r,n,i){if("translucent"===e.renderPass){var a=n.paint.get("line-opacity"),o=n.paint.get("line-width");if(0!==a.constantOr(1)&&0!==o.constantOr(1)){var s=e.depthModeForSublayer(0,Mt.ReadOnly),l=e.colorModeForRenderPass(),u=n.paint.get("line-dasharray"),c=n.paint.get("line-pattern"),f=c.constantOr(1),h=n.paint.get("line-gradient"),p=n.getCrossfadeParameters(),d=f?"linePattern":u?"lineSDF":h?"lineGradient":"line",v=e.context,g=v.gl,y=!0;if(h){v.activeTexture.set(g.TEXTURE0);var m=n.gradientTexture;if(!n.gradient)return;m||(m=n.gradientTexture=new t.Texture(v,n.gradient,g.RGBA)),m.bind(g.LINEAR,g.CLAMP_TO_EDGE)}for(var x=0,b=i;x<b.length;x+=1){var _=b[x],w=r.getTile(_);if(!f||w.patternsLoaded()){var T=w.getBucket(n);if(T){var A=T.programConfigurations.get(n.id),k=e.context.program.get(),M=e.useProgram(d,A),S=y||M.program!==k,E=c.constantOr(null);if(E&&w.imageAtlas){var L=w.imageAtlas,C=L.patternPositions[E.to.toString()],P=L.patternPositions[E.from.toString()];C&&P&&A.setConstantPatternPositions(C,P)}var O=f?jr(e,w,n,p):u?Ur(e,w,n,u,p):h?Nr(e,w,n):Br(e,w,n);f?(v.activeTexture.set(g.TEXTURE0),w.imageAtlasTexture.bind(g.LINEAR,g.CLAMP_TO_EDGE),A.updatePaintBuffers(p)):u&&(S||e.lineAtlas.dirty)&&(v.activeTexture.set(g.TEXTURE0),e.lineAtlas.bind(v)),M.draw(v,g.TRIANGLES,s,e.stencilModeForClipping(_),l,Ct.disabled,O,n.id,T.layoutVertexBuffer,T.indexBuffer,T.segments,n.paint,e.transform.zoom,A),y=!1}}}}}},fill:function(e,r,n,i){var a=n.paint.get("fill-color"),o=n.paint.get("fill-opacity");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get("fill-pattern"),u=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?"opaque":"translucent";if(e.renderPass===u){var c=e.depthModeForSublayer(1,"opaque"===e.renderPass?Mt.ReadWrite:Mt.ReadOnly);sn(e,r,n,i,c,s,!1)}if("translucent"===e.renderPass&&n.paint.get("fill-antialias")){var f=e.depthModeForSublayer(n.getPaintProperty("fill-outline-color")?2:0,Mt.ReadOnly);sn(e,r,n,i,f,s,!0)}}},"fill-extrusion":function(t,e,r,n){var i=r.paint.get("fill-extrusion-opacity");if(0!==i&&"translucent"===t.renderPass){var a=new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get("fill-extrusion-pattern").constantOr(1))ln(t,e,r,n,a,Et.disabled,Lt.disabled),ln(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();ln(t,e,r,n,a,Et.disabled,o)}}},hillshade:function(t,e,r,n){if("offscreen"===t.renderPass||"translucent"===t.renderPass){for(var i=t.context,a=e.getSource().maxzoom,o=t.depthModeForSublayer(0,Mt.ReadOnly),s=t.colorModeForRenderPass(),l="translucent"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],u=l[0],c=0,f=l[1];c<f.length;c+=1){var h=f[c],p=e.getTile(h);p.needsHillshadePrepare&&"offscreen"===t.renderPass?cn(t,p,r,a,o,Et.disabled,s):"translucent"===t.renderPass&&un(t,p,r,o,u[h.overscaledZ],s)}i.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if("translucent"===t.renderPass&&0!==r.paint.get("raster-opacity")&&n.length)for(var i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram("raster"),l=t.colorModeForRenderPass(),u=o instanceof I?[{},n]:t.stencilConfigForOverlap(n),c=u[0],f=u[1],h=f[f.length-1].overscaledZ,p=!t.options.moving,d=0,v=f;d<v.length;d+=1){var g=v[d],y=t.depthModeForSublayer(g.overscaledZ-h,1===r.paint.get("raster-opacity")?Mt.ReadWrite:Mt.ReadOnly,a.LESS),m=e.getTile(g),x=t.transform.calculatePosMatrix(g.toUnwrapped(),p);m.registerFadeDuration(r.paint.get("raster-fade-duration"));var b=e.findLoadedParent(g,0),_=fn(m,b,e,r,t.transform),w=void 0,T=void 0,A="nearest"===r.paint.get("raster-resampling")?a.NEAREST:a.LINEAR;i.activeTexture.set(a.TEXTURE0),m.texture.bind(A,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),i.activeTexture.set(a.TEXTURE1),b?(b.texture.bind(A,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),w=Math.pow(2,b.tileID.overscaledZ-m.tileID.overscaledZ),T=[m.tileID.canonical.x*w%1,m.tileID.canonical.y*w%1]):m.texture.bind(A,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST);var k=qr(x,T||[0,0],w||1,_,r);o instanceof I?s.draw(i,a.TRIANGLES,y,Et.disabled,l,Ct.disabled,k,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,y,c[g.overscaledZ],l,Ct.disabled,k,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get("background-color"),i=r.paint.get("background-opacity");if(0!==i){var a=t.context,o=a.gl,s=t.transform,l=s.tileSize,u=r.paint.get("background-pattern");if(!t.isPatternMissing(u)){var c=!u&&1===n.a&&1===i&&t.opaquePassEnabledForLayer()?"opaque":"translucent";if(t.renderPass===c){var f=Et.disabled,h=t.depthModeForSublayer(0,"opaque"===c?Mt.ReadWrite:Mt.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(u?"backgroundPattern":"background"),v=s.coveringTiles({tileSize:l});u&&(a.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var g=r.getCrossfadeParameters(),y=0,m=v;y<m.length;y+=1){var x=m[y],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=u?Kr(b,i,t,u,{tileID:x,tileSize:l},g):Jr(b,i,n);d.draw(a,o.TRIANGLES,h,f,p,Ct.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)_n(t,e,r[n])},custom:function(t,e,r){var n=t.context,i=r.implementation;if("offscreen"===t.renderPass){var a=i.prerender;a&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),a.call(i,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if("translucent"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(Et.disabled);var o="3d"===i.renderingMode?new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,Mt.ReadOnly);n.setDepthMode(o),i.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},Tn=function(t,e){this.context=new Pt(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Ot.maxUnderzooming+Ot.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Ve,this.gpuTimers={}};Tn.prototype.resize=function(e,r){if(this.width=e*t.browser.devicePixelRatio,this.height=r*t.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var n=0,i=this.style._order;n<i.length;n+=1){var a=i[n];this.style._layers[a].resize()}},Tn.prototype.setup=function(){var e=this.context,r=new t.StructArrayLayout2i4;r.emplaceBack(0,0),r.emplaceBack(t.EXTENT,0),r.emplaceBack(0,t.EXTENT),r.emplaceBack(t.EXTENT,t.EXTENT),this.tileExtentBuffer=e.createVertexBuffer(r,Ze.members),this.tileExtentSegments=t.SegmentVector.simpleSegment(0,0,4,2);var n=new t.StructArrayLayout2i4;n.emplaceBack(0,0),n.emplaceBack(t.EXTENT,0),n.emplaceBack(0,t.EXTENT),n.emplaceBack(t.EXTENT,t.EXTENT),this.debugBuffer=e.createVertexBuffer(n,Ze.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var i=new t.StructArrayLayout4i8;i.emplaceBack(0,0,0,0),i.emplaceBack(t.EXTENT,0,t.EXTENT,0),i.emplaceBack(0,t.EXTENT,0,t.EXTENT),i.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(i,O.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var a=new t.StructArrayLayout2i4;a.emplaceBack(0,0),a.emplaceBack(1,0),a.emplaceBack(0,1),a.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(a,Ze.members),this.viewportSegments=t.SegmentVector.simpleSegment(0,0,4,2);var o=new t.StructArrayLayout1ui2;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=e.createIndexBuffer(o);var s=new t.StructArrayLayout3ui6;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=e.createIndexBuffer(s),this.emptyTexture=new t.Texture(e,{width:1,height:1,data:new Uint8Array([0,0,0,0])},e.gl.RGBA);var l=this.context.gl;this.stencilClearMode=new Et({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},Tn.prototype.clearStencil=function(){var e=this.context,r=e.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var n=t.create();t.ortho(n,0,this.width,this.height,0,0,1),t.scale(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram("clippingMask").draw(e,r.TRIANGLES,Mt.disabled,this.stencilClearMode,Lt.disabled,Ct.disabled,Rr(n),"$clipping",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},Tn.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(Lt.disabled),r.setDepthMode(Mt.disabled);var i=this.useProgram("clippingMask");this._tileClippingMaskIDs={};for(var a=0,o=e;a<o.length;a+=1){var s=o[a],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;i.draw(r,n.TRIANGLES,Mt.disabled,new Et({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),Lt.disabled,Ct.disabled,Rr(s.posMatrix),"$clipping",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},Tn.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Et({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},Tn.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Et({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},Tn.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort(function(t,e){return e.overscaledZ-t.overscaledZ}),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s<a;s++)o[s+i]=new Et({func:r.GEQUAL,mask:255},s+this.nextStencilID,255,r.KEEP,r.KEEP,r.REPLACE);return this.nextStencilID+=a,[o,n]}return[(e={},e[i]=Et.disabled,e),n]},Tn.prototype.colorModeForRenderPass=function(){var e=this.context.gl;if(this._showOverdrawInspector){var r=1/8;return new Lt([e.CONSTANT_COLOR,e.ONE],new t.Color(r,r,r,0),[!0,!0,!0,!0])}return"opaque"===this.renderPass?Lt.unblended:Lt.alphaBlended},Tn.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return Mt.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new Mt(r||this.context.gl.LEQUAL,e,[n,n])},Tn.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},Tn.prototype.render=function(e,r){var n=this;this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var i=this.style._order,a=this.style.sourceCaches;for(var o in a){var s=a[o];s.used&&s.prepare(this.context)}var l,u,c={},f={},h={};for(var p in a){var d=a[p];c[p]=d.getVisibleCoordinates(),f[p]=c[p].slice().reverse(),h[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var v=0;v<i.length;v++){var g=i[v];if(this.style._layers[g].is3D()){this.opaquePassCutoff=v;break}}this.renderPass="offscreen";for(var y=0,m=i;y<m.length;y+=1){var x=m[y],b=this.style._layers[x];if(b.hasOffscreenPass()&&!b.isHidden(this.transform.zoom)){var _=f[b.source];("custom"===b.type||_.length)&&this.renderLayer(this,a[b.source],b,_)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?t.Color.black:t.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(e._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass="opaque",this.currentLayer=i.length-1;this.currentLayer>=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],A=c[w.source];this._renderTileClippingMasks(w,A),this.renderLayer(this,T,w,A)}for(this.renderPass="translucent",this.currentLayer=0;this.currentLayer<i.length;this.currentLayer++){var k=this.style._layers[i[this.currentLayer]],M=a[k.source],S=("symbol"===k.type?h:f)[k.source];this._renderTileClippingMasks(k,c[k.source]),this.renderLayer(this,M,k,S)}this.options.showTileBoundaries&&(t.values(this.style._layers).forEach(function(t){t.source&&!t.isHidden(n.transform.zoom)&&(t.source!==(u&&u.id)&&(u=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<u.getSource().maxzoom)&&(l=u))}),l&&wn.debug(this,l,l.getVisibleCoordinates())),this.options.showPadding&&yn(this),this.context.setDefault()},Tn.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||("background"===r.type||"custom"===r.type||n.length)&&(this.id=r.id,this.gpuTimingStart(r),wn[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},Tn.prototype.gpuTimingStart=function(t){if(this.options.gpuTiming){var e=this.context.extTimerQuery,r=this.gpuTimers[t.id];r||(r=this.gpuTimers[t.id]={calls:0,cpuTime:0,query:e.createQueryEXT()}),r.calls++,e.beginQueryEXT(e.TIME_ELAPSED_EXT,r.query)}},Tn.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},Tn.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},Tn.prototype.queryGpuTimers=function(t){var e={};for(var r in t){var n=t[r],i=this.context.extTimerQuery,a=i.getQueryObjectEXT(n.query,i.QUERY_RESULT_EXT)/1e6;i.deleteQueryEXT(n.query),e[r]=a}return e},Tn.prototype.translatePosMatrix=function(e,r,n,i,a){if(!n[0]&&!n[1])return e;var o=a?"map"===i?this.transform.angle:0:"viewport"===i?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var u=[a?n[0]:ge(r,n[0],this.transform.zoom),a?n[1]:ge(r,n[1],this.transform.zoom),0],c=new Float32Array(16);return t.translate(c,e,u),c},Tn.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},Tn.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},Tn.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},Tn.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=""+t+(e?e.cacheKey:"")+(this._showOverdrawInspector?"/overdraw":"");return this.cache[r]||(this.cache[r]=new Ar(this.context,wr[t],e,$r[t],this._showOverdrawInspector)),this.cache[r]},Tn.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},Tn.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},Tn.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement("canvas"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},Tn.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var An=function(t,e){this.points=t,this.planes=e};An.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map(function(r){return t.transformMat4([],r,e)}).map(function(e){return t.scale$1([],e,1/e[3]/r*i)}),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map(function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)});return new An(a,o)};var kn=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};kn.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a<r.length;a++)n[a]=r[a]?this.min[a]:this.center[a],i[a]=r[a]?this.center[a]:this.max[a];return i[2]=this.max[2],new kn(n,i)},kn.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},kn.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},kn.prototype.intersects=function(e){for(var r=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],n=!0,i=0;i<e.planes.length;i++){for(var a=e.planes[i],o=0,s=0;s<r.length;s++)o+=t.dot$1(a,r[s])>=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var u=Number.MAX_VALUE,c=-Number.MAX_VALUE,f=0;f<e.points.length;f++){var h=e.points[f][l]-this.min[l];u=Math.min(u,h),c=Math.max(c,h)}if(c<0||u>this.max[l]-this.min[l])return 0}return 1};var Mn=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error("Invalid value for edge-insets, top, bottom, left and right must all be numbers");this.top=t,this.bottom=e,this.left=r,this.right=n};Mn.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},Mn.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),i=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,i)},Mn.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},Mn.prototype.clone=function(){return new Mn(this.top,this.bottom,this.left,this.right)},Mn.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var Sn=function(e,r,n,i,a){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===a||a,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new Mn,this._posMatrixCache={},this._alignedPosMatrixCache={}},En={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};Sn.prototype.clone=function(){var t=new Sn(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},En.minZoom.get=function(){return this._minZoom},En.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},En.maxZoom.get=function(){return this._maxZoom},En.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},En.minPitch.get=function(){return this._minPitch},En.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},En.maxPitch.get=function(){return this._maxPitch},En.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},En.renderWorldCopies.get=function(){return this._renderWorldCopies},En.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},En.worldSize.get=function(){return this.tileSize*this.scale},En.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},En.size.get=function(){return new t.Point(this.width,this.height)},En.bearing.get=function(){return-this.angle/Math.PI*180},En.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},En.pitch.get=function(){return this._pitch/Math.PI*180},En.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},En.fov.get=function(){return this._fov/Math.PI*180},En.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},En.zoom.get=function(){return this._zoom},En.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},En.center.get=function(){return this._center},En.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},En.padding.get=function(){return this._edgeInsets.toJSON()},En.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},En.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},Sn.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},Sn.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},Sn.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},Sn.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),u=s-1;u<=l+1;u++)0!==u&&r.push(new t.UnwrappedTileID(u,e));return r},Sn.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&r<e.minzoom)return[];void 0!==e.maxzoom&&r>e.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=An.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var u=function(t){return{aabb:new kn([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},c=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)c.push(u(-d)),c.push(u(d));for(c.push(u(0));c.length>0;){var v=c.pop(),g=v.x,y=v.y,m=v.fullyVisible;if(!m){var x=v.aabb.intersects(s);if(0===x)continue;m=2===x}var b=v.aabb.distanceX(o),_=v.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<<h-v.zoom)-2;if(v.zoom===h||w>T&&v.zoom>=l)f.push({tileID:new t.OverscaledTileID(v.zoom===h?p:v.zoom,v.wrap,v.zoom,g,y),distanceSq:t.sqrLen([o[0]-.5-g,o[1]-.5-y])});else for(var A=0;A<4;A++){var k=(g<<1)+A%2,M=(y<<1)+(A>>1);c.push({aabb:v.aabb.quadrant(A),zoom:v.zoom+1,x:k,y:M,wrap:v.wrap,fullyVisible:m})}}return f.sort(function(t,e){return t.distanceSq-e.distanceSq}).map(function(t){return t.tileID})},Sn.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},En.unmodified.get=function(){return this._unmodified},Sn.prototype.zoomScale=function(t){return Math.pow(2,t)},Sn.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},Sn.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},Sn.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},En.point.get=function(){return this.project(this.center)},Sn.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(e),o=new t.MercatorCoordinate(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},Sn.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},Sn.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},Sn.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},Sn.prototype.coordinateLocation=function(t){return t.toLngLat()},Sn.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,u=n[1]/a,c=r[2]/i,f=n[2]/a,h=c===f?0:(0-c)/(f-c);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,u,h)/this.worldSize)},Sn.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},Sn.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},Sn.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},Sn.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},Sn.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];var a=e.canonical,o=this.worldSize/this.zoomScale(a.z),s=a.x+Math.pow(2,a.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,a.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),i[n]=new Float32Array(l),i[n]},Sn.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},Sn.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,u=this.size,c=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-a<u.y?u.y/(o-a):0}if(this.lngRange){var h=this.lngRange;s=t.mercatorXfromLng(h[0])*this.worldSize,r=(l=t.mercatorXfromLng(h[1])*this.worldSize)-s<u.x?u.x/(l-s):0}var p=this.point,d=Math.max(r||0,e||0);if(d)return this.center=this.unproject(new t.Point(r?(l+s)/2:p.x,e?(o+a)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=c,void(this._constraining=!1);if(this.latRange){var v=p.y,g=u.y/2;v-g<a&&(i=a+g),v+g>o&&(i=o-g)}if(this.lngRange){var y=p.x,m=u.x/2;y-m<s&&(n=s+m),y+m>l&&(n=l-m)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=c,this._constraining=!1}},Sn.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,u=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),c=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,c,u),f[8]=2*-r.x/this.width,f[9]=2*r.y/this.height,t.scale(f,f,[1,-1,1]),t.translate(f,f,[0,0,-this.cameraToCenterDistance]),t.rotateX(f,f,this._pitch),t.rotateZ(f,f,this.angle),t.translate(f,f,[-s,-l,0]),this.mercatorMatrix=t.scale([],f,[this.worldSize,this.worldSize,this.worldSize]),t.scale(f,f,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=f,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),v=Math.sin(this.angle),g=s-Math.round(s)+d*h+v*p,y=l-Math.round(l)+d*p+v*h,m=new Float64Array(f);if(t.translate(m,m,[g>.5?g-1:g,y>.5?y-1:y,0]),this.alignedProjMatrix=m,f=t.create(),t.scale(f,f,[this.width/2,-this.height/2,1]),t.translate(f,f,[1,-1,0]),this.labelPlaneMatrix=f,f=t.create(),t.scale(f,f,[1,-1,1]),t.translate(f,f,[-1,-1,0]),t.scale(f,f,[2/this.width,2/this.height,1]),this.glCoordMatrix=f,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(f=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error("failed to invert matrix");this.pixelMatrixInverse=f,this._posMatrixCache={},this._alignedPosMatrixCache={}}},Sn.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},Sn.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},Sn.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var u=l[s];n=Math.min(n,u.x),i=Math.min(i,u.y),a=Math.max(a,u.x),o=Math.max(o,u.y)}return[new t.Point(n,i),new t.Point(a,i),new t.Point(a,o),new t.Point(n,o),new t.Point(n,i)]},Object.defineProperties(Sn.prototype,En);var Ln=function(e){var r,n,i,a,o;this._hashName=e&&encodeURIComponent(e),t.bindAll(["_getCurrentHash","_onHashChange","_updateHash"],this),this._updateHash=(r=this._updateHashUnthrottled.bind(this),n=300,i=!1,a=null,o=function(){a=null,i&&(r(),a=setTimeout(o,n),i=!1)},function(){return i=!0,a||o(),a})};Ln.prototype.addTo=function(e){return this._map=e,t.window.addEventListener("hashchange",this._onHashChange,!1),this._map.on("moveend",this._updateHash),this},Ln.prototype.remove=function(){return t.window.removeEventListener("hashchange",this._onHashChange,!1),this._map.off("moveend",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},Ln.prototype.getHashString=function(e){var r=this._map.getCenter(),n=Math.round(100*this._map.getZoom())/100,i=Math.ceil((n*Math.LN2+Math.log(512/360/.5))/Math.LN10),a=Math.pow(10,i),o=Math.round(r.lng*a)/a,s=Math.round(r.lat*a)/a,l=this._map.getBearing(),u=this._map.getPitch(),c="";if(c+=e?"/"+o+"/"+s+"/"+n:n+"/"+s+"/"+o,(l||u)&&(c+="/"+Math.round(10*l)/10),u&&(c+="/"+Math.round(u)),this._hashName){var f=this._hashName,h=!1,p=t.window.location.hash.slice(1).split("&").map(function(t){var e=t.split("=")[0];return e===f?(h=!0,e+"="+c):t}).filter(function(t){return t});return h||p.push(f+"="+c),"#"+p.join("&")}return"#"+c},Ln.prototype._getCurrentHash=function(){var e,r=this,n=t.window.location.hash.replace("#","");return this._hashName?(n.split("&").map(function(t){return t.split("=")}).forEach(function(t){t[0]===r._hashName&&(e=t)}),(e&&e[1]||"").split("/")):n.split("/")},Ln.prototype._onHashChange=function(){var t=this._getCurrentHash();if(t.length>=3&&!t.some(function(t){return isNaN(t)})){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},Ln.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,"",e)}catch(t){}};var Cn={linearity:.3,easing:t.bezier(0,0,.3,1)},Pn=t.extend({deceleration:2500,maxSpeed:1400},Cn),On=t.extend({deceleration:20,maxSpeed:1400},Cn),In=t.extend({deceleration:1e3,maxSpeed:360},Cn),Dn=t.extend({deceleration:1e3,maxSpeed:90},Cn),zn=function(t){this._map=t,this.clear()};function Rn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function Fn(e,r,n){var i=n.maxSpeed,a=n.linearity,o=n.deceleration,s=t.clamp(e*a/(r/1e3),-i,i),l=Math.abs(s)/(o*a);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}zn.prototype.clear=function(){this._inertiaBuffer=[]},zn.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},zn.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},zn.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n<i.length;n+=1){var a=i[n].settings;r.zoom+=a.zoomDelta||0,r.bearing+=a.bearingDelta||0,r.pitch+=a.pitchDelta||0,a.panDelta&&r.pan._add(a.panDelta),a.around&&(r.around=a.around),a.pinchAround&&(r.pinchAround=a.pinchAround)}var o=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,s={};if(r.pan.mag()){var l=Fn(r.pan.mag(),o,t.extend({},Pn,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,Rn(s,l)}if(r.zoom){var u=Fn(r.zoom,o,On);s.zoom=this._map.transform.zoom+u.amount,Rn(s,u)}if(r.bearing){var c=Fn(r.bearing,o,In);s.bearing=this._map.transform.bearing+t.clamp(c.amount,-179,179),Rn(s,c)}if(r.pitch){var f=Fn(r.pitch,o,Dn);s.pitch=this._map.transform.pitch+f.amount,Rn(s,f)}if(s.zoom||s.bearing){var h=void 0===r.pinchAround?r.around:r.pinchAround;s.around=h?this._map.unproject(h):this._map.getCenter()}return this.clear(),t.extend(s,{noMoveStart:!0})}};var Bn=function(e){function n(n,i,a,o){void 0===o&&(o={});var s=r.mousePos(i.getCanvasContainer(),a),l=i.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:a},o)),this._defaultPrevented=!1,this.target=i}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Nn=function(e){function n(n,i,a){var o="touchend"===n?a.changedTouches:a.touches,s=r.touchPos(i.getCanvasContainer(),o),l=s.map(function(t){return i.unproject(t)}),u=s.reduce(function(t,e,r,n){return t.add(e.div(n.length))},new t.Point(0,0)),c=i.unproject(u);e.call(this,n,{points:s,point:u,lngLats:l,lngLat:c,originalEvent:a}),this._defaultPrevented=!1}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),jn=function(t){function e(e,r,n){t.call(this,e,{originalEvent:n}),this._defaultPrevented=!1}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={defaultPrevented:{configurable:!0}};return e.prototype.preventDefault=function(){this._defaultPrevented=!0},r.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(e.prototype,r),e}(t.Event),Un=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};Un.prototype.reset=function(){delete this._mousedownPos},Un.prototype.wheel=function(t){return this._firePreventable(new jn(t.type,this._map,t))},Un.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new Bn(t.type,this._map,t))},Un.prototype.mouseup=function(t){this._map.fire(new Bn(t.type,this._map,t))},Un.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Bn(t.type,this._map,t))},Un.prototype.dblclick=function(t){return this._firePreventable(new Bn(t.type,this._map,t))},Un.prototype.mouseover=function(t){this._map.fire(new Bn(t.type,this._map,t))},Un.prototype.mouseout=function(t){this._map.fire(new Bn(t.type,this._map,t))},Un.prototype.touchstart=function(t){return this._firePreventable(new Nn(t.type,this._map,t))},Un.prototype.touchmove=function(t){this._map.fire(new Nn(t.type,this._map,t))},Un.prototype.touchend=function(t){this._map.fire(new Nn(t.type,this._map,t))},Un.prototype.touchcancel=function(t){this._map.fire(new Nn(t.type,this._map,t))},Un.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Un.prototype.isEnabled=function(){return!0},Un.prototype.isActive=function(){return!1},Un.prototype.enable=function(){},Un.prototype.disable=function(){};var Vn=function(t){this._map=t};Vn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},Vn.prototype.mousemove=function(t){this._map.fire(new Bn(t.type,this._map,t))},Vn.prototype.mousedown=function(){this._delayContextMenu=!0},Vn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Bn("contextmenu",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},Vn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Bn(t.type,this._map,t)),this._map.listens("contextmenu")&&t.preventDefault()},Vn.prototype.isEnabled=function(){return!0},Vn.prototype.isActive=function(){return!1},Vn.prototype.enable=function(){},Vn.prototype.disable=function(){};var Hn=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function qn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Hn.prototype.isEnabled=function(){return!!this._enabled},Hn.prototype.isActive=function(){return!!this._active},Hn.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Hn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Hn.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Hn.prototype.mousemoveWindow=function(t,e){if(this._active){var n=e;if(!(this._lastPos.equals(n)||!this._box&&n.dist(this._startPos)<this._clickTolerance)){var i=this._startPos;this._lastPos=n,this._box||(this._box=r.create("div","mapboxgl-boxzoom",this._container),this._container.classList.add("mapboxgl-crosshair"),this._fireEvent("boxzoomstart",t));var a=Math.min(i.x,n.x),o=Math.max(i.x,n.x),s=Math.min(i.y,n.y),l=Math.max(i.y,n.y);r.setTransform(this._box,"translate("+a+"px,"+s+"px)"),this._box.style.width=o-a+"px",this._box.style.height=l-s+"px"}}},Hn.prototype.mouseupWindow=function(e,n){var i=this;if(this._active&&0===e.button){var a=this._startPos,o=n;if(this.reset(),r.suppressClick(),a.x!==o.x||a.y!==o.y)return this._map.fire(new t.Event("boxzoomend",{originalEvent:e})),{cameraAnimation:function(t){return t.fitScreenCoordinates(a,o,i._map.getBearing(),{linear:!0})}};this._fireEvent("boxzoomcancel",e)}},Hn.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent("boxzoomcancel",t))},Hn.prototype.reset=function(){this._active=!1,this._container.classList.remove("mapboxgl-crosshair"),this._box&&(r.remove(this._box),this._box=null),r.enableDrag(),delete this._startPos,delete this._lastPos},Hn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var Gn=function(t){this.reset(),this.numTouches=t.numTouches};Gn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},Gn.prototype.touchstart=function(e,r,n){(this.centroid||n.length>this.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n<i.length;n+=1){var a=i[n];r._add(a)}return r.div(e.length)}(r),this.touches=qn(n,r)))},Gn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=qn(r,e);for(var i in this.touches){var a=this.touches[i],o=n[i];(!o||o.dist(a)>30)&&(this.aborted=!0)}}},Gn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var Yn=function(t){this.singleTap=new Gn(t),this.numTaps=t.numTaps,this.reset()};Yn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},Yn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},Yn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},Yn.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Wn=function(){this._zoomIn=new Yn({numTouches:1,numTaps:2}),this._zoomOut=new Yn({numTouches:2,numTaps:1}),this.reset()};Wn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Wn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Wn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Wn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout(function(){return n.reset()},0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout(function(){return n.reset()},0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Wn.prototype.touchcancel=function(){this.reset()},Wn.prototype.enable=function(){this._enabled=!0},Wn.prototype.disable=function(){this._enabled=!1,this.reset()},Wn.prototype.isEnabled=function(){return this._enabled},Wn.prototype.isActive=function(){return this._active};var Zn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Zn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Zn.prototype._correctButton=function(t,e){return!1},Zn.prototype._move=function(t,e){return{}},Zn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Zn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r&&(t.preventDefault(),this._moved||!(e.dist(r)<this._clickTolerance)))return this._moved=!0,this._lastPoint=e,this._move(r,e)},Zn.prototype.mouseupWindow=function(t){r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},Zn.prototype.enable=function(){this._enabled=!0},Zn.prototype.disable=function(){this._enabled=!1,this.reset()},Zn.prototype.isEnabled=function(){return this._enabled},Zn.prototype.isActive=function(){return this._active};var Xn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.mousedown=function(e,r){t.prototype.mousedown.call(this,e,r),this._lastPoint&&(this._active=!0)},e.prototype._correctButton=function(t,e){return 0===e&&!t.ctrlKey},e.prototype._move=function(t,e){return{around:e,panDelta:e.sub(t)}},e}(Zn),Jn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=.8*(e.x-t.x);if(r)return this._active=!0,{bearingDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Zn),Kn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=-.5*(e.y-t.y);if(r)return this._active=!0,{pitchDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Zn),$n=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};$n.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},$n.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},$n.prototype.touchmove=function(t,e,r){if(this._active)return t.preventDefault(),this._calculateTransform(t,e,r)},$n.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},$n.prototype.touchcancel=function(){this.reset()},$n.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var i=qn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var u=i[l],c=this._touches[l];c&&(a._add(u),o._add(u.sub(c)),s++,i[l]=u)}if(this._touches=i,!(s<this._minTouches)&&o.mag()){var f=o.div(s);if(this._sum._add(f),!(this._sum.mag()<this._clickTolerance))return{around:a.div(s),panDelta:f}}},$n.prototype.enable=function(){this._enabled=!0},$n.prototype.disable=function(){this._enabled=!1,this.reset()},$n.prototype.isEnabled=function(){return this._enabled},$n.prototype.isActive=function(){return this._active};var Qn=function(){this.reset()};function ti(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}Qn.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},Qn.prototype._start=function(t){},Qn.prototype._move=function(t,e,r){return{}},Qn.prototype.touchstart=function(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]))},Qn.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,i=n[0],a=n[1],o=ti(r,e,i),s=ti(r,e,a);if(o&&s){var l=this._aroundCenter?null:o.add(s).div(2);return this._move([o,s],l,t)}}},Qn.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var i=this._firstTwoTouches,a=i[0],o=i[1],s=ti(n,e,a),l=ti(n,e,o);s&&l||(this._active&&r.suppressClick(),this.reset())}},Qn.prototype.touchcancel=function(){this.reset()},Qn.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&"center"===t.around},Qn.prototype.disable=function(){this._enabled=!1,this.reset()},Qn.prototype.isEnabled=function(){return this._enabled},Qn.prototype.isActive=function(){return this._active};function ei(t,e){return Math.log(t/e)/Math.LN2}var ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._distance,delete this._startDistance},e.prototype._start=function(t){this._startDistance=this._distance=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs(ei(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:ei(this._distance,r),pinchAround:e}},e}(Qn);function ni(t,e){return 180*t.angleWith(e)/Math.PI}var ii=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},e.prototype._start=function(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:ni(this._vector,r),pinchAround:e}},e.prototype._isBelowThreshold=function(t){this._minDiameter=Math.min(this._minDiameter,t.mag());var e=25/(Math.PI*this._minDiameter)*360,r=ni(t,this._startVector);return Math.abs(r)<e},e}(Qn);function ai(t){return Math.abs(t.y)>Math.abs(t.x)}var oi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,ai(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid)return this._lastPoints=t,this._active=!0,{pitchDelta:(n.y+i.y)/2*-.5}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return ai(t)&&ai(e)&&a}},e}(Qn),si={panStep:100,bearingStep:15,pitchStep:10},li=function(){var t=si;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep};function ui(t){return t*(2-t)}li.prototype.reset=function(){this._active=!1},li.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:"keyboardHandler",easing:ui,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},li.prototype.enable=function(){this._enabled=!0},li.prototype.disable=function(){this._enabled=!1,this.reset()},li.prototype.isEnabled=function(){return this._enabled},li.prototype.isActive=function(){return this._active};var ci=4.000244140625,fi=1/450,hi=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=fi,t.bindAll(["_onWheel","_onTimeout","_onScrollFrame","_onScrollFinished"],this)};hi.prototype.setZoomRate=function(t){this._defaultZoomRate=t},hi.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},hi.prototype.isEnabled=function(){return!!this._enabled},hi.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},hi.prototype.isZooming=function(){return!!this._zooming},hi.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&"center"===t.around)},hi.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},hi.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%ci===0?this._type="wheel":0!==r&&Math.abs(r)<4?this._type="trackpad":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?"trackpad":"wheel",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},hi.prototype._onTimeout=function(t){this._type="wheel",this._delta-=this._lastValue,this._active||this._start(t)},hi.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},hi.prototype.renderFrame=function(){return this._onScrollFrame()},hi.prototype._onScrollFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n="wheel"===this._type&&Math.abs(this._delta)>ci?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a="number"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),"wheel"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s="number"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,u=this._easing,c=!1;if("wheel"===this._type&&l&&u){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=u(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):c=!0}else o=s,c=!0;return this._active=!0,c&&(this._active=!1,this._finishTimeout=setTimeout(function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout},200)),{noInertia:!0,needsRenderFrame:!c,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},hi.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},hi.prototype.reset=function(){this._active=!1};var pi=function(t,e){this._clickZoom=t,this._tapZoom=e};pi.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},pi.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},pi.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},pi.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var di=function(){this.reset()};di.prototype.reset=function(){this._active=!1},di.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},di.prototype.enable=function(){this._enabled=!0},di.prototype.disable=function(){this._enabled=!1,this.reset()},di.prototype.isEnabled=function(){return this._enabled},di.prototype.isActive=function(){return this._active};var vi=function(){this._tap=new Yn({numTouches:1,numTaps:1}),this.reset()};vi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},vi.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},vi.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},vi.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},vi.prototype.touchcancel=function(){this.reset()},vi.prototype.enable=function(){this._enabled=!0},vi.prototype.disable=function(){this._enabled=!1,this.reset()},vi.prototype.isEnabled=function(){return this._enabled},vi.prototype.isActive=function(){return this._active};var gi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};gi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add("mapboxgl-touch-drag-pan")},gi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove("mapboxgl-touch-drag-pan")},gi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},gi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var yi=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};yi.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},yi.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},yi.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},yi.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var mi=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};mi.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add("mapboxgl-touch-zoom-rotate")},mi.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove("mapboxgl-touch-zoom-rotate")},mi.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},mi.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},mi.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},mi.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var xi=function(t){return t.zoom||t.drag||t.pitch||t.rotate},bi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function _i(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var wi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new zn(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll(["handleEvent","handleWindowEvent"],this);var i=this._el;this._listeners=[[i,"touchstart",{passive:!1}],[i,"touchmove",{passive:!1}],[i,"touchend",void 0],[i,"touchcancel",void 0],[i,"mousedown",void 0],[i,"mousemove",void 0],[i,"mouseup",void 0],[t.window.document,"mousemove",{capture:!0}],[t.window.document,"mouseup",void 0],[i,"mouseover",void 0],[i,"mouseout",void 0],[i,"dblclick",void 0],[i,"click",void 0],[i,"keydown",{capture:!1}],[i,"keyup",void 0],[i,"wheel",{passive:!1}],[i,"contextmenu",void 0],[t.window,"blur",void 0]];for(var a=0,o=this._listeners;a<o.length;a+=1){var s=o[a],l=s[0],u=s[1],c=s[2];r.addEventListener(l,u,l===t.window.document?this.handleWindowEvent:this.handleEvent,c)}};wi.prototype.destroy=function(){for(var e=0,n=this._listeners;e<n.length;e+=1){var i=n[e],a=i[0],o=i[1],s=i[2];r.removeEventListener(a,o,a===t.window.document?this.handleWindowEvent:this.handleEvent,s)}},wi.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add("mapEvent",new Un(e,t));var n=e.boxZoom=new Hn(e,t);this._add("boxZoom",n);var i=new Wn,a=new di;e.doubleClickZoom=new pi(a,i),this._add("tapZoom",i),this._add("clickZoom",a);var o=new vi;this._add("tapDragZoom",o);var s=e.touchPitch=new oi;this._add("touchPitch",s);var l=new Jn(t),u=new Kn(t);e.dragRotate=new yi(t,l,u),this._add("mouseRotate",l,["mousePitch"]),this._add("mousePitch",u,["mouseRotate"]);var c=new Xn(t),f=new $n(t);e.dragPan=new gi(r,c,f),this._add("mousePan",c),this._add("touchPan",f,["touchZoom","touchRotate"]);var h=new ii,p=new ri;e.touchZoomRotate=new mi(r,p,h,o),this._add("touchRotate",h,["touchPan","touchZoom"]),this._add("touchZoom",p,["touchPan","touchRotate"]);var d=e.scrollZoom=new hi(e,this);this._add("scrollZoom",d,["mousePan"]);var v=e.keyboard=new li;this._add("keyboard",v),this._add("blockableMapEvent",new Vn(e));for(var g=0,y=["boxZoom","doubleClickZoom","tapDragZoom","touchPitch","dragRotate","dragPan","touchZoomRotate","scrollZoom","keyboard"];g<y.length;g+=1){var m=y[g];t.interactive&&t[m]&&e[m].enable(t[m])}},wi.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},wi.prototype.stop=function(){if(!this._updatingCamera){for(var t=0,e=this._handlers;t<e.length;t+=1)e[t].handler.reset();this._inertia.clear(),this._fireEvents({},{}),this._changes=[]}},wi.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1)if(e[t].handler.isActive())return!0;return!1},wi.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},wi.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},wi.prototype.isMoving=function(){return Boolean(xi(this._eventsInProgress))||this.isZooming()},wi.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},wi.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+"Window")},wi.prototype._getMapTouches=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=i.target;this._el.contains(a)&&e.push(i)}return e},wi.prototype.handleEvent=function(t,e){if("blur"!==t.type){this._updatingCamera=!0;for(var n="renderFrame"===t.type?void 0:t,i={needsRenderFrame:!1},a={},o={},s=t.touches?this._getMapTouches(t.touches):void 0,l=s?r.touchPos(this._el,s):r.mousePos(this._el,t),u=0,c=this._handlers;u<c.length;u+=1){var f=c[u],h=f.handlerName,p=f.handler,d=f.allowed;if(p.isEnabled()){var v=void 0;this._blockedByActive(o,d,h)?p.reset():p[e||t.type]&&(v=p[e||t.type](t,l,s),this.mergeHandlerResult(i,a,v,h,n),v&&v.needsRenderFrame&&this._triggerRenderFrame()),(v||p.isActive())&&(o[h]=p)}}var g={};for(var y in this._previousActiveHandlers)o[y]||(g[y]=n);this._previousActiveHandlers=o,(Object.keys(g).length||_i(i))&&(this._changes.push([i,a,g]),this._triggerRenderFrame()),(Object.keys(o).length||_i(i))&&this._map._stop(!0),this._updatingCamera=!1;var m=i.cameraAnimation;m&&(this._inertia.clear(),this._fireEvents({},{}),this._changes=[],m(this._map))}else this.stop()},wi.prototype.mergeHandlerResult=function(e,r,n,i,a){if(n){t.extend(e,n);var o={handlerName:i,originalEvent:n.originalEvent||a};void 0!==n.zoomDelta&&(r.zoom=o),void 0!==n.panDelta&&(r.drag=o),void 0!==n.pitchDelta&&(r.pitch=o),void 0!==n.bearingDelta&&(r.rotate=o)}},wi.prototype._applyChanges=function(){for(var e={},r={},n={},i=0,a=this._changes;i<a.length;i+=1){var o=a[i],s=o[0],l=o[1],u=o[2];s.panDelta&&(e.panDelta=(e.panDelta||new t.Point(0,0))._add(s.panDelta)),s.zoomDelta&&(e.zoomDelta=(e.zoomDelta||0)+s.zoomDelta),s.bearingDelta&&(e.bearingDelta=(e.bearingDelta||0)+s.bearingDelta),s.pitchDelta&&(e.pitchDelta=(e.pitchDelta||0)+s.pitchDelta),void 0!==s.around&&(e.around=s.around),void 0!==s.pinchAround&&(e.pinchAround=s.pinchAround),s.noInertia&&(e.noInertia=s.noInertia),t.extend(r,l),t.extend(n,u)}this._updateMapTransform(e,r,n),this._changes=[]},wi.prototype._updateMapTransform=function(t,e,r){var n=this._map,i=n.transform;if(!_i(t))return this._fireEvents(e,r);var a=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,u=t.around,c=t.pinchAround;void 0!==c&&(u=c),n._stop(!0),u=u||n.transform.centerPoint;var f=i.pointLocation(a?u.sub(a):u);s&&(i.bearing+=s),l&&(i.pitch+=l),o&&(i.zoom+=o),i.setLocationAtPoint(f,u),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r)},wi.prototype._fireEvents=function(e,r){var n=this,i=xi(this._eventsInProgress),a=xi(e),o={};for(var s in e){var l=e[s].originalEvent;this._eventsInProgress[s]||(o[s+"start"]=l),this._eventsInProgress[s]=e[s]}for(var u in!i&&a&&this._fireEvent("movestart",a.originalEvent),o)this._fireEvent(u,o[u]);for(var c in e.rotate&&(this._bearingChanged=!0),a&&this._fireEvent("move",a.originalEvent),e){var f=e[c].originalEvent;this._fireEvent(c,f)}var h,p={};for(var d in this._eventsInProgress){var v=this._eventsInProgress[d],g=v.handlerName,y=v.originalEvent;this._handlersById[g].isActive()||(delete this._eventsInProgress[d],h=r[g]||y,p[d+"end"]=h)}for(var m in p)this._fireEvent(m,p[m]);var x=xi(this._eventsInProgress);if((i||a)&&!x){this._updatingCamera=!0;var b=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),_=function(t){return 0!==t&&-n._bearingSnap<t&&t<n._bearingSnap};b?(_(b.bearing||this._map.getBearing())&&(b.bearing=0),this._map.easeTo(b,{originalEvent:h})):(this._map.fire(new t.Event("moveend",{originalEvent:h})),_(this._map.getBearing())&&this._map.resetNorth()),this._bearingChanged=!1,this._updatingCamera=!1}},wi.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},wi.prototype._triggerRenderFrame=function(){var t=this;void 0===this._frameId&&(this._frameId=this._map._requestRenderFrame(function(e){delete t._frameId,t.handleEvent(new bi("renderFrame",{timeStamp:e})),t._applyChanges()}))};var Ti=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll(["_renderFrameCallback"],this)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.getPadding=function(){return this.transform.padding},r.prototype.setPadding=function(t,e){return this.jumpTo({padding:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){return e=t.LngLatBounds.convert(e),this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),0,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,i){var a={top:0,bottom:0,right:0,left:0};if("number"==typeof(i=t.extend({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){var o=i.padding;i.padding={top:o,bottom:o,right:o,left:o}}i.padding=t.extend(a,i.padding);var s=this.transform,l=s.padding,u=s.project(t.LngLat.convert(e)),c=s.project(t.LngLat.convert(r)),f=u.rotate(-n*Math.PI/180),h=c.rotate(-n*Math.PI/180),p=new t.Point(Math.max(f.x,h.x),Math.max(f.y,h.y)),d=new t.Point(Math.min(f.x,h.x),Math.min(f.y,h.y)),v=p.sub(d),g=(s.width-(l.left+l.right+i.padding.left+i.padding.right))/v.x,y=(s.height-(l.top+l.bottom+i.padding.top+i.padding.bottom))/v.y;if(!(y<0||g<0)){var m=Math.min(s.scaleZoom(s.scale*Math.min(g,y)),i.maxZoom),x=t.Point.convert(i.offset),b=(i.padding.left-i.padding.right)/2,_=(i.padding.top-i.padding.bottom)/2,w=new t.Point(x.x+b,x.y+_).mult(s.scale/s.zoomScale(m));return{center:s.unproject(u.add(c).div(2).sub(w)),zoom:m,bearing:n}}t.warnOnce("Map cannot fit within canvas with the given bounds, padding, and/or offset.")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,i,a){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,i),i,a)},r.prototype._fitInternal=function(e,r,n){return e?(delete(r=t.extend(e,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,i=!1,a=!1,o=!1;return"zoom"in e&&n.zoom!==+e.zoom&&(i=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),"bearing"in e&&n.bearing!==+e.bearing&&(a=!0,n.bearing=+e.bearing),"pitch"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),null==e.padding||n.isPaddingEqual(e.padding)||(n.padding=e.padding),this.fire(new t.Event("movestart",r)).fire(new t.Event("move",r)),i&&this.fire(new t.Event("zoomstart",r)).fire(new t.Event("zoom",r)).fire(new t.Event("zoomend",r)),a&&this.fire(new t.Event("rotatestart",r)).fire(new t.Event("rotate",r)).fire(new t.Event("rotateend",r)),o&&this.fire(new t.Event("pitchstart",r)).fire(new t.Event("pitch",r)).fire(new t.Event("pitchend",r)),this.fire(new t.Event("moveend",r))},r.prototype.easeTo=function(e,r){var n=this;this._stop(!1,e.easeId),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||!e.essential&&t.browser.prefersReducedMotion)&&(e.duration=0);var i=this.transform,a=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=this.getPadding(),u="zoom"in e?+e.zoom:a,c="bearing"in e?this._normalizeBearing(e.bearing,o):o,f="pitch"in e?+e.pitch:s,h="padding"in e?e.padding:i.padding,p=t.Point.convert(e.offset),d=i.centerPoint.add(p),v=i.pointLocation(d),g=t.LngLat.convert(e.center||v);this._normalizeCenter(g);var y,m,x=i.project(v),b=i.project(g).sub(x),_=i.zoomScale(u-a);e.around&&(y=t.LngLat.convert(e.around),m=i.locationPoint(y));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||u!==a,this._rotating=this._rotating||o!==c,this._pitching=this._pitching||f!==s,this._padding=!i.isPaddingEqual(h),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),clearTimeout(this._easeEndTimeoutID),this._ease(function(e){if(n._zooming&&(i.zoom=t.number(a,u,e)),n._rotating&&(i.bearing=t.number(o,c,e)),n._pitching&&(i.pitch=t.number(s,f,e)),n._padding&&(i.interpolatePadding(l,h,e),d=i.centerPoint.add(p)),y)i.setLocationAtPoint(y,m);else{var v=i.zoomScale(i.zoom-a),g=u>a?Math.min(2,_):Math.max(.5,_),w=Math.pow(g,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(v));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)},function(t){n._afterEase(r,t)},e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event("movestart",e)),this._zooming&&!n.zooming&&this.fire(new t.Event("zoomstart",e)),this._rotating&&!n.rotating&&this.fire(new t.Event("rotatestart",e)),this._pitching&&!n.pitching&&this.fire(new t.Event("pitchstart",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event("move",e)),this._zooming&&this.fire(new t.Event("zoom",e)),this._rotating&&this.fire(new t.Event("rotate",e)),this._pitching&&this.fire(new t.Event("pitch",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event("zoomend",e)),i&&this.fire(new t.Event("rotateend",e)),a&&this.fire(new t.Event("pitchend",e)),this.fire(new t.Event("moveend",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,["center","zoom","bearing","pitch","around"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),u=this.getPadding(),c="zoom"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f="bearing"in e?this._normalizeBearing(e.bearing,s):s,h="pitch"in e?+e.pitch:l,p="padding"in e?e.padding:a.padding,d=a.zoomScale(c-o),v=t.Point.convert(e.offset),g=a.centerPoint.add(v),y=a.pointLocation(g),m=t.LngLat.convert(e.center||y);this._normalizeCenter(m);var x=a.project(y),b=a.project(m).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,A=b.mag();if("minZoom"in e){var k=t.clamp(Math.min(e.minZoom,o,c),a.minZoom,a.maxZoom),M=w/a.zoomScale(k-o);_=Math.sqrt(M/A*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*A*A)/(2*(t?T:w)*S*A);return Math.log(Math.sqrt(e*e+1)-e)}function L(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),O=function(t){return C(P)/C(P+_*t)},I=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/A;var e},D=(E(1)-P)/_;if(Math.abs(A)<1e-6||!isFinite(D)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var z=T<w?-1:1;D=Math.abs(Math.log(T/w))/_,I=function(){return 0},O=function(t){return Math.exp(z*_*t)}}if("duration"in e)e.duration=+e.duration;else{var R="screenSpeed"in e?+e.screenSpeed/_:+e.speed;e.duration=1e3*D/R}return e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease(function(e){var i=e*D,d=1/O(i);a.zoom=1===e?c:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(u,p,e),g=a.centerPoint.add(v));var y=1===e?m:a.unproject(x.add(b.mult(I(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?y.wrap():y,g),n._fireMoveEvents(r)},function(){return n._afterEase(r)},e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop()}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)<n&&(e-=360),Math.abs(e+360-r)<n&&(e+=360),e},r.prototype._normalizeCenter=function(t){var e=this.transform;if(e.renderWorldCopies&&!e.lngRange){var r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}},r}(t.Evented),Ai=function(e){void 0===e&&(e={}),this.options=e,t.bindAll(["_updateEditLink","_updateData","_updateCompact"],this)};Ai.prototype.getDefaultPosition=function(){return"bottom-right"},Ai.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-attrib"),this._innerContainer=r.create("div","mapboxgl-ctrl-attrib-inner",this._container),e&&this._container.classList.add("mapboxgl-compact"),this._updateAttributions(),this._updateEditLink(),this._map.on("styledata",this._updateData),this._map.on("sourcedata",this._updateData),this._map.on("moveend",this._updateEditLink),void 0===e&&(this._map.on("resize",this._updateCompact),this._updateCompact()),this._container},Ai.prototype.onRemove=function(){r.remove(this._container),this._map.off("styledata",this._updateData),this._map.off("sourcedata",this._updateData),this._map.off("moveend",this._updateEditLink),this._map.off("resize",this._updateCompact),this._map=void 0,this._attribHTML=void 0},Ai.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(".mapbox-improve-map"));var r=[{key:"owner",value:this.styleOwner},{key:"id",value:this.styleId},{key:"access_token",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce(function(t,e,n){return e.value&&(t+=e.key+"="+e.value+(n<r.length-1?"&":"")),t},"?");e.href=t.config.FEEDBACK_URL+"/"+n+(this._map._hash?this._map._hash.getHashString(!0):""),e.rel="noopener nofollow"}},Ai.prototype._updateData=function(t){!t||"metadata"!==t.sourceDataType&&"style"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},Ai.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map(function(t){return"string"!=typeof t?"":t})):"string"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){var e=this._map.style.stylesheet;this.styleOwner=e.owner,this.styleId=e.id}var r=this._map.style.sourceCaches;for(var n in r){var i=r[n];if(i.used){var a=i.getSource();a.attribution&&t.indexOf(a.attribution)<0&&t.push(a.attribution)}}t.sort(function(t,e){return t.length-e.length});var o=(t=t.filter(function(e,r){for(var n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0})).join(" | ");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove("mapboxgl-attrib-empty")):this._container.classList.add("mapboxgl-attrib-empty"),this._editLink=null)}},Ai.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add("mapboxgl-compact"):this._container.classList.remove("mapboxgl-compact")};var ki=function(){t.bindAll(["_updateLogo"],this),t.bindAll(["_updateCompact"],this)};ki.prototype.onAdd=function(t){this._map=t,this._container=r.create("div","mapboxgl-ctrl");var e=r.create("a","mapboxgl-ctrl-logo");return e.target="_blank",e.rel="noopener nofollow",e.href="https://www.mapbox.com/",e.setAttribute("aria-label",this._map._getUIString("LogoControl.Title")),e.setAttribute("rel","noopener nofollow"),this._container.appendChild(e),this._container.style.display="none",this._map.on("sourcedata",this._updateLogo),this._updateLogo(),this._map.on("resize",this._updateCompact),this._updateCompact(),this._container},ki.prototype.onRemove=function(){r.remove(this._container),this._map.off("sourcedata",this._updateLogo),this._map.off("resize",this._updateCompact)},ki.prototype.getDefaultPosition=function(){return"bottom-left"},ki.prototype._updateLogo=function(t){t&&"metadata"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?"block":"none")},ki.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t)if(t[e].getSource().mapbox_logo)return!0;return!1}},ki.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add("mapboxgl-compact"):e.classList.remove("mapboxgl-compact")}};var Mi=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};Mi.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},Mi.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;r<n.length;r+=1){var i=n[r];if(i.id===t)return void(i.cancelled=!0)}},Mi.prototype.run=function(t){void 0===t&&(t=0);var e=this._currentlyRunning=this._queue;this._queue=[];for(var r=0,n=e;r<n.length;r+=1){var i=n[r];if(!i.cancelled&&(i.callback(t),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},Mi.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Si={"FullscreenControl.Enter":"Enter fullscreen","FullscreenControl.Exit":"Exit fullscreen","GeolocateControl.FindMyLocation":"Find my location","GeolocateControl.LocationNotAvailable":"Location not available","LogoControl.Title":"Mapbox logo","NavigationControl.ResetBearing":"Reset bearing to north","NavigationControl.ZoomIn":"Zoom in","NavigationControl.ZoomOut":"Zoom out","ScaleControl.Feet":"ft","ScaleControl.Meters":"m","ScaleControl.Kilometers":"km","ScaleControl.Miles":"mi","ScaleControl.NauticalMiles":"nm"},Ei=t.window.HTMLImageElement,Li=t.window.HTMLElement,Ci=t.window.ImageBitmap,Pi=60,Oi={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:Pi,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,bearingSnap:7,clickTolerance:3,pitchWithRotate:!0,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:"sans-serif",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},Ii=function(n){function i(e){var r=this;if(null!=(e=t.extend({},Oi,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error("maxZoom must be greater than or equal to minZoom");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error("maxPitch must be greater than or equal to minPitch");if(null!=e.minPitch&&e.minPitch<0)throw new Error("minPitch must be greater than or equal to 0");if(null!=e.maxPitch&&e.maxPitch>Pi)throw new Error("maxPitch must be less than or equal to 60");var i=new Sn(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new Mi,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Si,e.locale),this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),"string"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error("Container '"+e.container+"' not found.")}else{if(!(e.container instanceof Li))throw new Error("Invalid type: 'container' must be a String or HTMLElement.");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll(["_onWindowOnline","_onWindowResize","_contextLost","_contextRestored"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error("Failed to initialize WebGL.");this.on("move",function(){return r._update(!1)}),this.on("moveend",function(){return r._update(!1)}),this.on("zoom",function(){return r._update(!0)}),void 0!==t.window&&(t.window.addEventListener("online",this._onWindowOnline,!1),t.window.addEventListener("resize",this._onWindowResize,!1)),this.handlers=new wi(this,e);var a="string"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new Ln(a).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new Ai({customAttribution:e.customAttribution})),this.addControl(new ki,e.logoPosition),this.on("style.load",function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)}),this.on("data",function(e){r._update("style"===e.dataType),r.fire(new t.Event(e.dataType+"data",e))}),this.on("dataloading",function(e){r.fire(new t.Event(e.dataType+"dataloading",e))})}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&e.getDefaultPosition&&(r=e.getDefaultPosition()),void 0===r&&(r="top-right"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error("Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf("bottom")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error("Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event("movestart",e)).fire(new t.Event("move",e))),this.fire(new t.Event("resize",e)),a&&this.fire(new t.Event("moveend",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error("minZoom must be between -2 and the current maxZoom, inclusive")},i.prototype.getMinZoom=function(){return this.transform.minZoom},i.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error("maxZoom must be greater than the current minZoom")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error("minPitch must be greater than or equal to 0");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error("minPitch must be between 0 and the current maxPitch, inclusive")},i.prototype.getMinPitch=function(){return this.transform.minPitch},i.prototype.setMaxPitch=function(t){if((t=null==t?Pi:t)>Pi)throw new Error("maxPitch must be less than or equal to 60");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error("maxPitch must be greater than the current minPitch")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if("mouseenter"===t||"mouseover"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new Bn(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if("mouseleave"===t||"mouseout"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new Bn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Bn(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o<a.length;o++){var s=a[o];if(s.layer===e&&s.listener===r){for(var l in s.delegates)i.off(l,s.delegates[l]);return a.splice(o,1),i}}}(this._delegatedListeners),this},i.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return[];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||"number"==typeof e[0])n=[t.Point.convert(e)];else{var i=t.Point.convert(e[0]),a=t.Point.convert(e[1]);n=[i,new t.Point(a.x,i.y),a,new t.Point(i.x,a.y),i]}return this.style.queryRenderedFeatures(n,r,this.transform)},i.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},i.prototype.setStyle=function(e,r){return!1!==(r=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},i.prototype._getUIString=function(t){var e=this._locale[t];if(null==e)throw new Error("Missing UI string '"+t+"'");return e},i.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new We(this,e||{}),this.style.setEventedParent(this,{style:this.style}),"string"==typeof t?this.style.loadURL(t):this.style.loadJSON(t),this):(delete this.style,this)},i.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new We(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},i.prototype._diffStyle=function(e,r){var n=this;if("string"==typeof e){var i=this._requestManager.normalizeStyleURL(e),a=this._requestManager.transformRequest(i,t.ResourceType.Style);t.getJSON(a,function(e,i){e?n.fire(new t.ErrorEvent(e)):i&&n._updateDiff(i,r)})}else"object"==typeof e&&this._updateDiff(e,r)},i.prototype._updateDiff=function(e,r){try{this.style.setState(e)&&this._update(!0)}catch(n){t.warnOnce("Unable to perform style diff: "+(n.message||n.error||n)+".  Rebuilding the style from scratch."),this._updateStyle(e,r)}},i.prototype.getStyle=function(){if(this.style)return this.style.serialize()},i.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce("There is no style added to the map.")},i.prototype.addSource=function(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)},i.prototype.isSourceLoaded=function(e){var r=this.style&&this.style.sourceCaches[e];if(void 0!==r)return r.loaded();this.fire(new t.ErrorEvent(new Error("There is no source with ID '"+e+"'")))},i.prototype.areTilesLoaded=function(){var t=this.style&&this.style.sourceCaches;for(var e in t){var r=t[e]._tiles;for(var n in r){var i=r[n];if("loaded"!==i.state&&"errored"!==i.state)return!1}}return!0},i.prototype.addSourceType=function(t,e,r){return this._lazyInitEmptyStyle(),this.style.addSourceType(t,e,r)},i.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},i.prototype.getSource=function(t){return this.style.getSource(t)},i.prototype.addImage=function(e,r,n){void 0===n&&(n={});var i=n.pixelRatio;void 0===i&&(i=1);var a=n.sdf;void 0===a&&(a=!1);var o=n.stretchX,s=n.stretchY,l=n.content;this._lazyInitEmptyStyle();if(r instanceof Ei||Ci&&r instanceof Ci){var u=t.browser.getImageData(r),c=u.width,f=u.height,h=u.data;this.style.addImage(e,{data:new t.RGBAImage({width:c,height:f},h),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0})}else{if(void 0===r.width||void 0===r.height)return this.fire(new t.ErrorEvent(new Error("Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`")));var p=r.width,d=r.height,v=r.data,g=r;this.style.addImage(e,{data:new t.RGBAImage({width:p,height:d},new Uint8Array(v)),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0,userImage:g}),g.onAdd&&g.onAdd(this,e)}},i.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error("The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.")));var i=r instanceof Ei||Ci&&r instanceof Ci?t.browser.getImageData(r):r,a=i.width,o=i.height,s=i.data;if(void 0===a||void 0===o)return this.fire(new t.ErrorEvent(new Error("Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`")));if(a!==n.data.width||o!==n.data.height)return this.fire(new t.ErrorEvent(new Error("The width and height of the updated image must be that same as the previous version of the image")));var l=!(r instanceof Ei||Ci&&r instanceof Ci);n.data.replace(s,l),this.style.updateImage(e,n)},i.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error("Missing required image id"))),!1)},i.prototype.removeImage=function(t){this.style.removeImage(t)},i.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},i.prototype.listImages=function(){return this.style.listImages()},i.prototype.addLayer=function(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)},i.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},i.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},i.prototype.getLayer=function(t){return this.style.getLayer(t)},i.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},i.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},i.prototype.getFilter=function(t){return this.style.getFilter(t)},i.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},i.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},i.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},i.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},i.prototype.setLight=function(t,e){return void 0===e&&(e={}),this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)},i.prototype.getLight=function(){return this.style.getLight()},i.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},i.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},i.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},i.prototype.getContainer=function(){return this._container},i.prototype.getCanvasContainer=function(){return this._canvasContainer},i.prototype.getCanvas=function(){return this._canvas},i.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},i.prototype._detectMissingCSS=function(){"rgb(250, 128, 114)"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue("background-color")&&t.warnOnce("This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.")},i.prototype._setupContainer=function(){var t=this._container;t.classList.add("mapboxgl-map"),(this._missingCSSCanary=r.create("div","mapboxgl-canary",t)).style.visibility="hidden",this._detectMissingCSS();var e=this._canvasContainer=r.create("div","mapboxgl-canvas-container",t);this._interactive&&e.classList.add("mapboxgl-interactive"),this._canvas=r.create("canvas","mapboxgl-canvas",e),this._canvas.addEventListener("webglcontextlost",this._contextLost,!1),this._canvas.addEventListener("webglcontextrestored",this._contextRestored,!1),this._canvas.setAttribute("tabindex","0"),this._canvas.setAttribute("aria-label","Map");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var i=this._controlContainer=r.create("div","mapboxgl-control-container",t),a=this._controlPositions={};["top-left","top-right","bottom-left","bottom-right"].forEach(function(t){a[t]=r.create("div","mapboxgl-ctrl-"+t,i)})},i.prototype._resizeCanvas=function(e,r){var n=t.browser.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+"px",this._canvas.style.height=r+"px"},i.prototype._setupPainter=function(){var r=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),n=this._canvas.getContext("webgl",r)||this._canvas.getContext("experimental-webgl",r);n?(this.painter=new Tn(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error("Failed to initialize WebGL")))},i.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event("webglcontextlost",{originalEvent:e}))},i.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event("webglcontextrestored",{originalEvent:e}))},i.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},i.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},i.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},i.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},i.prototype._render=function(e){var r,n=this,i=0,a=this.painter.context.extTimerQuery;if(this.listens("gpu-timing-frame")&&(r=a.createQueryEXT(),a.beginQueryEXT(a.TIME_ELAPSED_EXT,r),i=t.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(e),!this._removed){var o=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var s=this.transform.zoom,l=t.browser.now();this.style.zoomHistory.update(s,l);var u=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),c=u.crossFadingFactor();1===c&&c===this._crossFadingFactor||(o=!0,this._crossFadingFactor=c),this.style.update(u)}if(this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration,showPadding:this.showPadding,gpuTiming:!!this.listens("gpu-timing-layer")}),this.fire(new t.Event("render")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event("load"))),this.style&&(this.style.hasTransitions()||o)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens("gpu-timing-frame")){var f=t.browser.now()-i;a.endQueryEXT(a.TIME_ELAPSED_EXT,r),setTimeout(function(){var e=a.getQueryObjectEXT(r,a.QUERY_RESULT_EXT)/1e6;a.deleteQueryEXT(r),n.fire(new t.Event("gpu-timing-frame",{cpuTime:f,gpuTime:e}))},50)}if(this.listens("gpu-timing-layer")){var h=this.painter.collectGpuTimers();setTimeout(function(){var e=n.painter.queryGpuTimers(h);n.fire(new t.Event("gpu-timing-layer",{layerTimes:e}))},50)}return this._sourcesDirty||this._styleDirty||this._placementDirty||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&(this._fullyLoaded||(this._fullyLoaded=!0),this.fire(new t.Event("idle"))),this}},i.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1)r[e].onRemove(this);this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener("resize",this._onWindowResize,!1),t.window.removeEventListener("online",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension("WEBGL_lose_context");n&&n.loseContext(),Di(this._canvasContainer),Di(this._controlContainer),Di(this._missingCSSCanary),this._container.classList.remove("mapboxgl-map"),this._removed=!0,this.fire(new t.Event("remove"))},i.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame(function(t){e._frame=null,e._render(t)}))},i.prototype._onWindowOnline=function(){this._update()},i.prototype._onWindowResize=function(t){this._trackResize&&this.resize({originalEvent:t})._update()},a.showTileBoundaries.get=function(){return!!this._showTileBoundaries},a.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},a.showPadding.get=function(){return!!this._showPadding},a.showPadding.set=function(t){this._showPadding!==t&&(this._showPadding=t,this._update())},a.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},a.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},a.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},a.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},a.repaint.get=function(){return!!this._repaint},a.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},a.vertices.get=function(){return!!this._vertices},a.vertices.set=function(t){this._vertices=t,this._update()},i.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},a.version.get=function(){return t.version},Object.defineProperties(i.prototype,a),i}(Ti);function Di(t){t.parentNode&&t.parentNode.removeChild(t)}var zi={showCompass:!0,showZoom:!0,visualizePitch:!1},Ri=function(e){var n=this;this.options=t.extend({},zi,e),this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-group"),this._container.addEventListener("contextmenu",function(t){return t.preventDefault()}),this.options.showZoom&&(t.bindAll(["_setButtonTitle","_updateZoomButtons"],this),this._zoomInButton=this._createButton("mapboxgl-ctrl-zoom-in",function(t){return n._map.zoomIn({},{originalEvent:t})}),r.create("span","mapboxgl-ctrl-icon",this._zoomInButton).setAttribute("aria-hidden",!0),this._zoomOutButton=this._createButton("mapboxgl-ctrl-zoom-out",function(t){return n._map.zoomOut({},{originalEvent:t})}),r.create("span","mapboxgl-ctrl-icon",this._zoomOutButton).setAttribute("aria-hidden",!0)),this.options.showCompass&&(t.bindAll(["_rotateCompassArrow"],this),this._compass=this._createButton("mapboxgl-ctrl-compass",function(t){n.options.visualizePitch?n._map.resetNorthPitch({},{originalEvent:t}):n._map.resetNorth({},{originalEvent:t})}),this._compassIcon=r.create("span","mapboxgl-ctrl-icon",this._compass),this._compassIcon.setAttribute("aria-hidden",!0))};Ri.prototype._updateZoomButtons=function(){var t=this._map.getZoom();this._zoomInButton.disabled=t===this._map.getMaxZoom(),this._zoomOutButton.disabled=t===this._map.getMinZoom()},Ri.prototype._rotateCompassArrow=function(){var t=this.options.visualizePitch?"scale("+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+") rotateX("+this._map.transform.pitch+"deg) rotateZ("+this._map.transform.angle*(180/Math.PI)+"deg)":"rotate("+this._map.transform.angle*(180/Math.PI)+"deg)";this._compassIcon.style.transform=t},Ri.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,"ZoomIn"),this._setButtonTitle(this._zoomOutButton,"ZoomOut"),this._map.on("zoom",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,"ResetBearing"),this.options.visualizePitch&&this._map.on("pitch",this._rotateCompassArrow),this._map.on("rotate",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Fi(this._map,this._compass,this.options.visualizePitch)),this._container},Ri.prototype.onRemove=function(){r.remove(this._container),this.options.showZoom&&this._map.off("zoom",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off("pitch",this._rotateCompassArrow),this._map.off("rotate",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map},Ri.prototype._createButton=function(t,e){var n=r.create("button",t,this._container);return n.type="button",n.addEventListener("click",e),n},Ri.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString("NavigationControl."+e);t.title=r,t.setAttribute("aria-label",r)};var Fi=function(e,n,i){void 0===i&&(i=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new Jn({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,i&&(this.mousePitch=new Kn({clickTolerance:e.dragRotate._mousePitch._clickTolerance})),t.bindAll(["mousedown","mousemove","mouseup","touchstart","touchmove","touchend","reset"],this),r.addEventListener(n,"mousedown",this.mousedown),r.addEventListener(n,"touchstart",this.touchstart,{passive:!1}),r.addEventListener(n,"touchmove",this.touchmove),r.addEventListener(n,"touchend",this.touchend),r.addEventListener(n,"touchcancel",this.reset)};function Bi(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var i=new t.LngLat(e.lng-360,e.lat),a=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(i).distSqr(r)<o?e=i:n.locationPoint(a).distSqr(r)<o&&(e=a)}for(;Math.abs(e.lng-n.center.lng)>180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Fi.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Fi.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Fi.prototype.off=function(){var t=this.element;r.removeEventListener(t,"mousedown",this.mousedown),r.removeEventListener(t,"touchstart",this.touchstart,{passive:!1}),r.removeEventListener(t,"touchmove",this.touchmove),r.removeEventListener(t,"touchend",this.touchend),r.removeEventListener(t,"touchcancel",this.reset),this.offTemp()},Fi.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,"mousemove",this.mousemove),r.removeEventListener(t.window,"mouseup",this.mouseup)},Fi.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,"mousemove",this.mousemove),r.addEventListener(t.window,"mouseup",this.mouseup)},Fi.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Fi.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Fi.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:"mousedown",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Fi.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Fi.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Fi.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var Ni={center:"translate(-50%,-50%)",top:"translate(-50%,0)","top-left":"translate(0,0)","top-right":"translate(-100%,0)",bottom:"translate(-50%,-100%)","bottom-left":"translate(0,-100%)","bottom-right":"translate(-100%,-100%)",left:"translate(0,-50%)",right:"translate(-100%,-50%)"};function ji(t,e,r){var n=t.classList;for(var i in Ni)n.remove("mapboxgl-"+r+"-anchor-"+i);n.add("mapboxgl-"+r+"-anchor-"+e)}var Ui,Vi=function(e){function n(n,i){var a=this;if(e.call(this),(n instanceof t.window.HTMLElement||i)&&(n=t.extend({element:n},i)),t.bindAll(["_update","_onMove","_onUp","_addDragHandler","_onMapClick","_onKeyPress"],this),this._anchor=n&&n.anchor||"center",this._color=n&&n.color||"#3FB1CE",this._draggable=n&&n.draggable||!1,this._state="inactive",this._rotation=n&&n.rotation||0,this._rotationAlignment=n&&n.rotationAlignment||"auto",this._pitchAlignment=n&&n.pitchAlignment&&"auto"!==n.pitchAlignment?n.pitchAlignment:this._rotationAlignment,n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else{this._defaultMarker=!0,this._element=r.create("div"),this._element.setAttribute("aria-label","Map marker");var o=r.createNS("http://www.w3.org/2000/svg","svg");o.setAttributeNS(null,"display","block"),o.setAttributeNS(null,"height","41px"),o.setAttributeNS(null,"width","27px"),o.setAttributeNS(null,"viewBox","0 0 27 41");var s=r.createNS("http://www.w3.org/2000/svg","g");s.setAttributeNS(null,"stroke","none"),s.setAttributeNS(null,"stroke-width","1"),s.setAttributeNS(null,"fill","none"),s.setAttributeNS(null,"fill-rule","evenodd");var l=r.createNS("http://www.w3.org/2000/svg","g");l.setAttributeNS(null,"fill-rule","nonzero");var u=r.createNS("http://www.w3.org/2000/svg","g");u.setAttributeNS(null,"transform","translate(3.0, 29.0)"),u.setAttributeNS(null,"fill","#000000");for(var c=0,f=[{rx:"10.5",ry:"5.25002273"},{rx:"10.5",ry:"5.25002273"},{rx:"9.5",ry:"4.77275007"},{rx:"8.5",ry:"4.29549936"},{rx:"7.5",ry:"3.81822308"},{rx:"6.5",ry:"3.34094679"},{rx:"5.5",ry:"2.86367051"},{rx:"4.5",ry:"2.38636864"}];c<f.length;c+=1){var h=f[c],p=r.createNS("http://www.w3.org/2000/svg","ellipse");p.setAttributeNS(null,"opacity","0.04"),p.setAttributeNS(null,"cx","10.5"),p.setAttributeNS(null,"cy","5.80029008"),p.setAttributeNS(null,"rx",h.rx),p.setAttributeNS(null,"ry",h.ry),u.appendChild(p)}var d=r.createNS("http://www.w3.org/2000/svg","g");d.setAttributeNS(null,"fill",this._color);var v=r.createNS("http://www.w3.org/2000/svg","path");v.setAttributeNS(null,"d","M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z"),d.appendChild(v);var g=r.createNS("http://www.w3.org/2000/svg","g");g.setAttributeNS(null,"opacity","0.25"),g.setAttributeNS(null,"fill","#000000");var y=r.createNS("http://www.w3.org/2000/svg","path");y.setAttributeNS(null,"d","M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z"),g.appendChild(y);var m=r.createNS("http://www.w3.org/2000/svg","g");m.setAttributeNS(null,"transform","translate(6.0, 7.0)"),m.setAttributeNS(null,"fill","#FFFFFF");var x=r.createNS("http://www.w3.org/2000/svg","g");x.setAttributeNS(null,"transform","translate(8.0, 8.0)");var b=r.createNS("http://www.w3.org/2000/svg","circle");b.setAttributeNS(null,"fill","#000000"),b.setAttributeNS(null,"opacity","0.25"),b.setAttributeNS(null,"cx","5.5"),b.setAttributeNS(null,"cy","5.5"),b.setAttributeNS(null,"r","5.4999962");var _=r.createNS("http://www.w3.org/2000/svg","circle");_.setAttributeNS(null,"fill","#FFFFFF"),_.setAttributeNS(null,"cx","5.5"),_.setAttributeNS(null,"cy","5.5"),_.setAttributeNS(null,"r","5.4999962"),x.appendChild(b),x.appendChild(_),l.appendChild(u),l.appendChild(d),l.appendChild(g),l.appendChild(m),l.appendChild(x),o.appendChild(l),this._element.appendChild(o),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add("mapboxgl-marker"),this._element.addEventListener("dragstart",function(t){t.preventDefault()}),this._element.addEventListener("mousedown",function(t){t.preventDefault()}),this._element.addEventListener("focus",function(){var t=a._map.getContainer();t.scrollTop=0,t.scrollLeft=0}),ji(this._element,this._anchor,"marker"),this._popup=null}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on("move",this._update),t.on("moveend",this._update),this.setDraggable(this._draggable),this._update(),this._map.on("click",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off("click",this._onMapClick),this._map.off("move",this._update),this._map.off("moveend",this._update),this._map.off("mousedown",this._addDragHandler),this._map.off("touchstart",this._addDragHandler),this._map.off("mouseup",this._onUp),this._map.off("touchend",this._onUp),this._map.off("mousemove",this._onMove),this._map.off("touchmove",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener("keypress",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute("tabindex")),t){if(!("offset"in t.options)){var e=13.5,r=Math.sqrt(Math.pow(e,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],"top-left":[0,0],"top-right":[0,0],bottom:[0,-38.1],"bottom-left":[r,-1*(24.6+r)],"bottom-right":[-r,-1*(24.6+r)],left:[e,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute("tabindex"),this._originalTabIndex||this._element.setAttribute("tabindex","0"),this._element.addEventListener("keypress",this._onKeyPress)}return this},n.prototype._onKeyPress=function(t){var e=t.code,r=t.charCode||t.keyCode;"Space"!==e&&"Enter"!==e&&32!==r&&13!==r||this.togglePopup()},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=Bi(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var e="";"viewport"===this._rotationAlignment||"auto"===this._rotationAlignment?e="rotateZ("+this._rotation+"deg)":"map"===this._rotationAlignment&&(e="rotateZ("+(this._rotation-this._map.getBearing())+"deg)");var n="";"viewport"===this._pitchAlignment||"auto"===this._pitchAlignment?n="rotateX(0deg)":"map"===this._pitchAlignment&&(n="rotateX("+this._map.getPitch()+"deg)"),t&&"moveend"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,Ni[this._anchor]+" translate("+this._pos.x+"px, "+this._pos.y+"px) "+n+" "+e)}},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents="none","pending"===this._state&&(this._state="active",this.fire(new t.Event("dragstart"))),this.fire(new t.Event("drag"))},n.prototype._onUp=function(){this._element.style.pointerEvents="auto",this._positionDelta=null,this._map.off("mousemove",this._onMove),this._map.off("touchmove",this._onMove),"active"===this._state&&this.fire(new t.Event("dragend")),this._state="inactive"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._state="pending",this._map.on("mousemove",this._onMove),this._map.on("touchmove",this._onMove),this._map.once("mouseup",this._onUp),this._map.once("touchend",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on("mousedown",this._addDragHandler),this._map.on("touchstart",this._addDragHandler)):(this._map.off("mousedown",this._addDragHandler),this._map.off("touchstart",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||"auto",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&"auto"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Hi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var qi=0,Gi=!1,Yi=function(e){function n(r){e.call(this),this.options=t.extend({},Hi,r),t.bindAll(["_onSuccess","_onError","_onZoom","_finish","_setupUI","_updateCamera","_updateMarker"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.onAdd=function(e){return this._map=e,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-group"),n=this._setupUI,void 0!==Ui?n(Ui):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:"geolocation"}).then(function(t){Ui="denied"!==t.state,n(Ui)}):(Ui=!!t.window.navigator.geolocation,n(Ui)),this._container;var n},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off("zoom",this._onZoom),this._map=void 0,qi=0,Gi=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitude<e.getWest()||r.longitude>e.getEast()||r.latitude<e.getSouth()||r.latitude>e.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case"WAITING_ACTIVE":this._watchState="ACTIVE_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error");break;case"ACTIVE_LOCK":this._watchState="ACTIVE_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting");break;case"BACKGROUND":this._watchState="BACKGROUND_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event("outofmaxbounds",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case"WAITING_ACTIVE":case"ACTIVE_LOCK":case"ACTIVE_ERROR":this._watchState="ACTIVE_LOCK",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"BACKGROUND":case"BACKGROUND_ERROR":this._watchState="BACKGROUND",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background")}this.options.showUserLocation&&"OFF"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&"ACTIVE_LOCK"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove("mapboxgl-user-location-dot-stale"),this.fire(new t.Event("geolocate",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+"px",this._circleElement.style.height=i+"px"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState="OFF",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.disabled=!0;var r=this._map._getUIString("GeolocateControl.LocationNotAvailable");this._geolocateButton.title=r,this._geolocateButton.setAttribute("aria-label",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&Gi)return;this._setErrorState()}"OFF"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add("mapboxgl-user-location-dot-stale"),this.fire(new t.Event("error",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener("contextmenu",function(t){return t.preventDefault()}),this._geolocateButton=r.create("button","mapboxgl-ctrl-geolocate",this._container),r.create("span","mapboxgl-ctrl-icon",this._geolocateButton).setAttribute("aria-hidden",!0),this._geolocateButton.type="button",!1===e){t.warnOnce("Geolocation support is not available so the GeolocateControl will be disabled.");var i=this._map._getUIString("GeolocateControl.LocationNotAvailable");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute("aria-label",i)}else{var a=this._map._getUIString("GeolocateControl.FindMyLocation");this._geolocateButton.title=a,this._geolocateButton.setAttribute("aria-label",a)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute("aria-pressed","false"),this._watchState="OFF"),this.options.showUserLocation&&(this._dotElement=r.create("div","mapboxgl-user-location-dot"),this._userLocationDotMarker=new Vi(this._dotElement),this._circleElement=r.create("div","mapboxgl-user-location-accuracy-circle"),this._accuracyCircleMarker=new Vi({element:this._circleElement,pitchAlignment:"map"}),this.options.trackUserLocation&&(this._watchState="OFF"),this._map.on("zoom",this._onZoom)),this._geolocateButton.addEventListener("click",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on("movestart",function(e){var r=e.originalEvent&&"resize"===e.originalEvent.type;e.geolocateSource||"ACTIVE_LOCK"!==n._watchState||r||(n._watchState="BACKGROUND",n._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background"),n._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),n.fire(new t.Event("trackuserlocationend")))})},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce("Geolocate control triggered before added to a map"),!1;if(this.options.trackUserLocation){switch(this._watchState){case"OFF":this._watchState="WAITING_ACTIVE",this.fire(new t.Event("trackuserlocationstart"));break;case"WAITING_ACTIVE":case"ACTIVE_LOCK":case"ACTIVE_ERROR":case"BACKGROUND_ERROR":qi--,Gi=!1,this._watchState="OFF",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this.fire(new t.Event("trackuserlocationend"));break;case"BACKGROUND":this._watchState="ACTIVE_LOCK",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event("trackuserlocationstart"))}switch(this._watchState){case"WAITING_ACTIVE":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"ACTIVE_LOCK":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"ACTIVE_ERROR":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error");break;case"BACKGROUND":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background");break;case"BACKGROUND_ERROR":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background-error")}if("OFF"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.setAttribute("aria-pressed","true"),++qi>1?(e={maximumAge:6e5,timeout:0},Gi=!0):(e=this.options.positionOptions,Gi=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.setAttribute("aria-pressed","false"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Wi={maxWidth:100,unit:"metric"},Zi=function(e){this.options=t.extend({},Wi,e),t.bindAll(["_onMove","setUnit"],this)};function Xi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&"imperial"===r.unit){var l=3.2808*s;l>5280?Ji(e,n,l/5280,t._getUIString("ScaleControl.Miles")):Ji(e,n,l,t._getUIString("ScaleControl.Feet"))}else r&&"nautical"===r.unit?Ji(e,n,s/1852,t._getUIString("ScaleControl.NauticalMiles")):s>=1e3?Ji(e,n,s/1e3,t._getUIString("ScaleControl.Kilometers")):Ji(e,n,s,t._getUIString("ScaleControl.Meters"))}function Ji(t,e,r,n){var i,a,o,s=(i=r,(a=Math.pow(10,(""+Math.floor(i)).length-1))*((o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o))),l=s/r;t.style.width=e*l+"px",t.innerHTML=s+"&nbsp;"+n}Zi.prototype.getDefaultPosition=function(){return"bottom-left"},Zi.prototype._onMove=function(){Xi(this._map,this._container,this.options)},Zi.prototype.onAdd=function(t){return this._map=t,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-scale",t.getContainer()),this._map.on("move",this._onMove),this._onMove(),this._container},Zi.prototype.onRemove=function(){r.remove(this._container),this._map.off("move",this._onMove),this._map=void 0},Zi.prototype.setUnit=function(t){this.options.unit=t,Xi(this._map,this._container,this.options)};var Ki=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce("Full screen control 'container' must be a DOM element.")),t.bindAll(["_onClickFullscreen","_changeIcon"],this),"onfullscreenchange"in t.window.document?this._fullscreenchange="fullscreenchange":"onmozfullscreenchange"in t.window.document?this._fullscreenchange="mozfullscreenchange":"onwebkitfullscreenchange"in t.window.document?this._fullscreenchange="webkitfullscreenchange":"onmsfullscreenchange"in t.window.document&&(this._fullscreenchange="MSFullscreenChange")};Ki.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-group"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display="none",t.warnOnce("This device does not support fullscreen mode.")),this._controlContainer},Ki.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},Ki.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},Ki.prototype._setupUI=function(){var e=this._fullscreenButton=r.create("button","mapboxgl-ctrl-fullscreen",this._controlContainer);r.create("span","mapboxgl-ctrl-icon",e).setAttribute("aria-hidden",!0),e.type="button",this._updateTitle(),this._fullscreenButton.addEventListener("click",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},Ki.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute("aria-label",t),this._fullscreenButton.title=t},Ki.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?"FullscreenControl.Exit":"FullscreenControl.Enter")},Ki.prototype._isFullscreen=function(){return 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ea={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Ii,NavigationControl:Ri,GeolocateControl:Yi,AttributionControl:Ai,ScaleControl:Zi,FullscreenControl:Ki,Popup:Qi,Marker:Vi,Style:We,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){jt().acquire(Rt)},clearPrewarmedResources:function(){var t=Bt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(Rt),Bt=null):console.warn("Could not clear WebWorkers since there are active Map instances that still reference it. 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n=r(79758),i=r(26446),a=r(88191);t.exports=function(t,e,r,o){var s,l,u,c=r[0][0].carpet,f=i.getFromId(t,c.xaxis||"x"),h=i.getFromId(t,c.yaxis||"y"),p={xaxis:f,yaxis:h,plot:e.plot};for(s=0;s<r.length;s++)(l=r[s][0].trace)._xA=f,l._yA=h;for(n(t,p,r,o),s=0;s<r.length;s++)l=r[s][0].trace,u=o.selectAll("g.trace"+l.uid+" .js-line"),a.setClipUrl(u,r[s][0].carpet._clipPathId,t)}},55974:function(t,e,r){"use strict";var n=r(69562),i=r(15181);t.exports=function(t,e,r){if(r("newshape.visible"),r("newshape.name"),r("newshape.showlegend"),r("newshape.legend"),r("newshape.legendwidth"),r("newshape.legendgroup"),r("newshape.legendgrouptitle.text"),i.coerceFont(r,"newshape.legendgrouptitle.font"),r("newshape.legendrank"),r("newshape.drawdirection"),r("newshape.layer"),r("newshape.fillcolor"),r("newshape.fillrule"),r("newshape.opacity"),r("newshape.line.width")){var a=(t||{}).plot_bgcolor||"#FFF";r("newshape.line.color",n.contrast(a)),r("newshape.line.dash")}var 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strip",instances:t.prop("count"),count:4,offset:0,uniforms:{miterMode:function(t,e){return"round"===e.join?2:1},miterLimit:t.prop("miterLimit"),scale:t.prop("scale"),scaleFract:t.prop("scaleFract"),translateFract:t.prop("translateFract"),translate:t.prop("translate"),thickness:t.prop("thickness"),dashTexture:t.prop("dashTexture"),opacity:t.prop("opacity"),pixelRatio:t.context("pixelRatio"),id:t.prop("id"),dashLength:t.prop("dashLength"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]},depth:t.prop("depth")},blend:{enable:!0,color:[0,0,0,0],equation:{rgb:"add",alpha:"add"},func:{srcRGB:"src alpha",dstRGB:"one minus src alpha",srcAlpha:"one minus dst alpha",dstAlpha:"one"}},depth:{enable:function(t,e){return!e.overlay}},stencil:{enable:!1},scissor:{enable:!0,box:t.prop("viewport")},viewport:t.prop("viewport")},i=t(a({vert:"\nprecision highp float;\n\nattribute vec2 aCoord, bCoord, aCoordFract, bCoordFract;\nattribute vec4 color;\nattribute float lineEnd, lineTop;\n\nuniform vec2 scale, scaleFract, translate, translateFract;\nuniform float thickness, pixelRatio, id, depth;\nuniform vec4 viewport;\n\nvarying vec4 fragColor;\nvarying vec2 tangent;\n\nvec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\n\t// the order is important\n\treturn position * scale + translate\n       + positionFract * scale + translateFract\n       + position * scaleFract\n       + positionFract * scaleFract;\n}\n\nvoid main() {\n\tfloat lineStart = 1. - lineEnd;\n\tfloat lineOffset = lineTop * 2. - 1.;\n\n\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\n\ttangent = normalize(diff * scale * viewport.zw);\n\tvec2 normal = vec2(-tangent.y, tangent.x);\n\n\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\n\t\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\n\n\t\t+ thickness * normal * .5 * lineOffset / viewport.zw;\n\n\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\n\n\tfragColor = color / 255.;\n}\n",frag:"\nprecision highp float;\n\nuniform float dashLength, pixelRatio, thickness, opacity, id;\nuniform sampler2D dashTexture;\n\nvarying vec4 fragColor;\nvarying vec2 tangent;\n\nvoid main() {\n\tfloat alpha = 1.;\n\n\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\n\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\n\n\tgl_FragColor = fragColor;\n\tgl_FragColor.a *= alpha * opacity * dash;\n}\n",attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:t.prop("positionFractBuffer"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:t.prop("positionFractBuffer"),stride:8,offset:16,divisor:1},color:{buffer:t.prop("colorBuffer"),stride:4,offset:0,divisor:1}}},n));try{e=t(a({cull:{enable:!0,face:"back"},vert:"\nprecision highp float;\n\nattribute vec2 aCoord, bCoord, nextCoord, prevCoord;\nattribute vec4 aColor, bColor;\nattribute float lineEnd, lineTop;\n\nuniform vec2 scale, translate;\nuniform float thickness, pixelRatio, id, depth;\nuniform vec4 viewport;\nuniform float miterLimit, miterMode;\n\nvarying vec4 fragColor;\nvarying vec4 startCutoff, endCutoff;\nvarying vec2 tangent;\nvarying vec2 startCoord, endCoord;\nvarying float enableStartMiter, enableEndMiter;\n\nconst float REVERSE_THRESHOLD = -.875;\nconst float MIN_DIFF = 1e-6;\n\n// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\n// TODO: precalculate dot products, normalize things beforehead etc.\n// TODO: refactor to rectangular algorithm\n\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\n\tvec2 diff = b - a;\n\tvec2 perp = normalize(vec2(-diff.y, diff.x));\n\treturn dot(p - a, perp);\n}\n\nbool isNaN( float val ){\n  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\n}\n\nvoid main() {\n\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\n\n  vec2 adjustedScale;\n  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\n  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\n\n  vec2 scaleRatio = adjustedScale * viewport.zw;\n\tvec2 normalWidth = thickness / scaleRatio;\n\n\tfloat lineStart = 1. - lineEnd;\n\tfloat lineBot = 1. - lineTop;\n\n\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\n\n\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\n\n\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\n\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\n\n\n\tvec2 prevDiff = aCoord - prevCoord;\n\tvec2 currDiff = bCoord - aCoord;\n\tvec2 nextDiff = nextCoord - bCoord;\n\n\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\n\tvec2 currTangent = normalize(currDiff * scaleRatio);\n\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\n\n\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\n\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\n\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\n\n\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\n\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\n\n\t// collapsed/unidirectional segment cases\n\t// FIXME: there should be more elegant solution\n\tvec2 prevTanDiff = abs(prevTangent - currTangent);\n\tvec2 nextTanDiff = abs(nextTangent - currTangent);\n\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\n\t\tstartJoinDirection = currNormal;\n\t}\n\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\n\t\tendJoinDirection = currNormal;\n\t}\n\tif (aCoord == bCoord) {\n\t\tendJoinDirection = startJoinDirection;\n\t\tcurrNormal = prevNormal;\n\t\tcurrTangent = prevTangent;\n\t}\n\n\ttangent = currTangent;\n\n\t//calculate join shifts relative to normals\n\tfloat startJoinShift = dot(currNormal, startJoinDirection);\n\tfloat endJoinShift = dot(currNormal, endJoinDirection);\n\n\tfloat startMiterRatio = abs(1. / startJoinShift);\n\tfloat endMiterRatio = abs(1. / endJoinShift);\n\n\tvec2 startJoin = startJoinDirection * startMiterRatio;\n\tvec2 endJoin = endJoinDirection * endMiterRatio;\n\n\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\n\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\n\tstartBotJoin = -startTopJoin;\n\n\tendTopJoin = sign(endJoinShift) * endJoin * .5;\n\tendBotJoin = -endTopJoin;\n\n\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\n\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\n\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\n\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\n\n\t//miter anti-clipping\n\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\n\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\n\n\t//prevent close to reverse direction switch\n\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\n\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\n\n\tif (prevReverse) {\n\t\t//make join rectangular\n\t\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\n\t\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\n\t\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\n\t\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\n\t}\n\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\n\t\t//handle miter clipping\n\t\tbTopCoord -= normalWidth * endTopJoin;\n\t\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\n\t}\n\n\tif (nextReverse) {\n\t\t//make join rectangular\n\t\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\n\t\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\n\t\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\n\t\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\n\t}\n\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\n\t\t//handle miter clipping\n\t\taBotCoord -= normalWidth * startBotJoin;\n\t\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\n\t}\n\n\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\n\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\n\n\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\n\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\n\n\t//position is normalized 0..1 coord on the screen\n\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\n\n\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\n\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\n\n\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\n\n\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\n\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\n\n\t//bevel miter cutoffs\n\tif (miterMode == 1.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\n\t\t\tstartCutoff = vec4(aCoord, aCoord);\n\t\t\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\n\t\t\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tstartCutoff += viewport.xyxy;\n\t\t\tstartCutoff += startMiterWidth.xyxy;\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\n\t\t\tendCutoff = vec4(bCoord, bCoord);\n\t\t\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\n\t\t\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tendCutoff += viewport.xyxy;\n\t\t\tendCutoff += endMiterWidth.xyxy;\n\t\t}\n\t}\n\n\t//round miter cutoffs\n\telse if (miterMode == 2.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\n\t\t\tstartCutoff = vec4(aCoord, aCoord);\n\t\t\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\n\t\t\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tstartCutoff += viewport.xyxy;\n\t\t\tstartCutoff += startMiterWidth.xyxy;\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\n\t\t\tendCutoff = vec4(bCoord, bCoord);\n\t\t\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\n\t\t\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tendCutoff += viewport.xyxy;\n\t\t\tendCutoff += endMiterWidth.xyxy;\n\t\t}\n\t}\n}\n",frag:"\nprecision highp float;\n\nuniform float dashLength, pixelRatio, thickness, opacity, id, miterMode;\nuniform sampler2D dashTexture;\n\nvarying vec4 fragColor;\nvarying vec2 tangent;\nvarying vec4 startCutoff, endCutoff;\nvarying vec2 startCoord, endCoord;\nvarying float enableStartMiter, enableEndMiter;\n\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\n\tvec2 diff = b - a;\n\tvec2 perp = normalize(vec2(-diff.y, diff.x));\n\treturn dot(p - a, perp);\n}\n\nvoid main() {\n\tfloat alpha = 1., distToStart, distToEnd;\n\tfloat cutoff = thickness * .5;\n\n\t//bevel miter\n\tif (miterMode == 1.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\n\t\t\tif (distToStart < -1.) {\n\t\t\t\tdiscard;\n\t\t\t\treturn;\n\t\t\t}\n\t\t\talpha *= min(max(distToStart + 1., 0.), 1.);\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\n\t\t\tif (distToEnd < -1.) {\n\t\t\t\tdiscard;\n\t\t\t\treturn;\n\t\t\t}\n\t\t\talpha *= min(max(distToEnd + 1., 0.), 1.);\n\t\t}\n\t}\n\n\t// round miter\n\telse if (miterMode == 2.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\n\t\t\tif (distToStart < 0.) {\n\t\t\t\tfloat radius = length(gl_FragCoord.xy - startCoord);\n\n\t\t\t\tif(radius > cutoff + .5) {\n\t\t\t\t\tdiscard;\n\t\t\t\t\treturn;\n\t\t\t\t}\n\n\t\t\t\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\n\t\t\t}\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\n\t\t\tif (distToEnd < 0.) {\n\t\t\t\tfloat radius = length(gl_FragCoord.xy - endCoord);\n\n\t\t\t\tif(radius > cutoff + .5) {\n\t\t\t\t\tdiscard;\n\t\t\t\t\treturn;\n\t\t\t\t}\n\n\t\t\t\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\n\t\t\t}\n\t\t}\n\t}\n\n\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\n\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\n\n\tgl_FragColor = fragColor;\n\tgl_FragColor.a *= alpha * opacity * dash;\n}\n",attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aColor:{buffer:t.prop("colorBuffer"),stride:4,offset:0,divisor:1},bColor:{buffer:t.prop("colorBuffer"),stride:4,offset:4,divisor:1},prevCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:0,divisor:1},aCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:16,divisor:1},nextCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:24,divisor:1}}},n))}catch(t){e=i}return{fill:t({primitive:"triangle",elements:function(t,e){return e.triangles},offset:0,vert:"\nprecision highp float;\n\nattribute vec2 position, positionFract;\n\nuniform vec4 color;\nuniform vec2 scale, scaleFract, translate, translateFract;\nuniform float pixelRatio, id;\nuniform vec4 viewport;\nuniform float opacity;\n\nvarying vec4 fragColor;\n\nconst float MAX_LINES = 256.;\n\nvoid main() {\n\tfloat depth = (MAX_LINES - 4. - id) / 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2===this.length?t+=67108864*this.words[1]:3===this.length&&1===this.words[2]?t+=4503599627370496+67108864*this.words[1]:this.length>2&&n(!1,"Number can only safely store up to 53 bits"),0!==this.negative?-t:t},a.prototype.toJSON=function(){return this.toString(16)},a.prototype.toBuffer=function(t,e){return n(void 0!==o),this.toArrayLike(o,t,e)},a.prototype.toArray=function(t,e){return this.toArrayLike(Array,t,e)},a.prototype.toArrayLike=function(t,e,r){var i=this.byteLength(),a=r||Math.max(1,i);n(i<=a,"byte array longer than desired length"),n(a>0,"Requested array length <= 0"),this.strip();var o,s,l="le"===e,u=new t(a),c=this.clone();if(l){for(s=0;!c.isZero();s++)o=c.andln(255),c.iushrn(8),u[s]=o;for(;s<a;s++)u[s]=0}else{for(s=0;s<a-i;s++)u[s]=0;for(s=0;!c.isZero();s++)o=c.andln(255),c.iushrn(8),u[a-s-1]=o}return u},Math.clz32?a.prototype._countBits=function(t){return 32-Math.clz32(t)}:a.prototype._countBits=function(t){var e=t,r=0;return 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0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var a=0,o=0;o<n.length;o++)a=(e=(0|r.words[o])-(0|n.words[o])+a)>>26,this.words[o]=67108863&e;for(;0!==a&&o<r.length;o++)a=(e=(0|r.words[o])+a)>>26,this.words[o]=67108863&e;if(0===a&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},a.prototype.sub=function(t){return this.clone().isub(t)};var d=function(t,e,r){var 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yt=(u+(n=n+Math.imul(f,q)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,q)|0))<<13)|0;u=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(y,U),i=(i=Math.imul(y,V))+Math.imul(m,U)|0,a=Math.imul(m,V),n=n+Math.imul(d,q)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(v,q)|0,a=a+Math.imul(v,G)|0;var mt=(u+(n=n+Math.imul(f,W)|0)|0)+((8191&(i=(i=i+Math.imul(f,Z)|0)+Math.imul(h,W)|0))<<13)|0;u=((a=a+Math.imul(h,Z)|0)+(i>>>13)|0)+(mt>>>26)|0,mt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(y,q)|0,i=(i=i+Math.imul(y,G)|0)+Math.imul(m,q)|0,a=a+Math.imul(m,G)|0,n=n+Math.imul(d,W)|0,i=(i=i+Math.imul(d,Z)|0)+Math.imul(v,W)|0,a=a+Math.imul(v,Z)|0;var xt=(u+(n=n+Math.imul(f,J)|0)|0)+((8191&(i=(i=i+Math.imul(f,K)|0)+Math.imul(h,J)|0))<<13)|0;u=((a=a+Math.imul(h,K)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(A,U)|0,a=Math.imul(A,V),n=n+Math.imul(b,q)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,q)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(y,W)|0,i=(i=i+Math.imul(y,Z)|0)+Math.imul(m,W)|0,a=a+Math.imul(m,Z)|0,n=n+Math.imul(d,J)|0,i=(i=i+Math.imul(d,K)|0)+Math.imul(v,J)|0,a=a+Math.imul(v,K)|0;var bt=(u+(n=n+Math.imul(f,Q)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,Q)|0))<<13)|0;u=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,q)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(A,q)|0,a=a+Math.imul(A,G)|0,n=n+Math.imul(b,W)|0,i=(i=i+Math.imul(b,Z)|0)+Math.imul(_,W)|0,a=a+Math.imul(_,Z)|0,n=n+Math.imul(y,J)|0,i=(i=i+Math.imul(y,K)|0)+Math.imul(m,J)|0,a=a+Math.imul(m,K)|0,n=n+Math.imul(d,Q)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(v,Q)|0,a=a+Math.imul(v,tt)|0;var _t=(u+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;u=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=(i=Math.imul(L,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(M,q)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,q)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,W)|0,i=(i=i+Math.imul(T,Z)|0)+Math.imul(A,W)|0,a=a+Math.imul(A,Z)|0,n=n+Math.imul(b,J)|0,i=(i=i+Math.imul(b,K)|0)+Math.imul(_,J)|0,a=a+Math.imul(_,K)|0,n=n+Math.imul(y,Q)|0,i=(i=i+Math.imul(y,tt)|0)+Math.imul(m,Q)|0,a=a+Math.imul(m,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(v,rt)|0,a=a+Math.imul(v,nt)|0;var wt=(u+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;u=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(O,U),i=(i=Math.imul(O,V))+Math.imul(I,U)|0,a=Math.imul(I,V),n=n+Math.imul(L,q)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,q)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,W)|0,i=(i=i+Math.imul(M,Z)|0)+Math.imul(S,W)|0,a=a+Math.imul(S,Z)|0,n=n+Math.imul(T,J)|0,i=(i=i+Math.imul(T,K)|0)+Math.imul(A,J)|0,a=a+Math.imul(A,K)|0,n=n+Math.imul(b,Q)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,Q)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(y,rt)|0,i=(i=i+Math.imul(y,nt)|0)+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(v,at)|0,a=a+Math.imul(v,ot)|0;var 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At=(u+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;u=((a=a+Math.imul(h,ht)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(z,q)|0,i=(i=i+Math.imul(z,G)|0)+Math.imul(R,q)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(O,W)|0,i=(i=i+Math.imul(O,Z)|0)+Math.imul(I,W)|0,a=a+Math.imul(I,Z)|0,n=n+Math.imul(L,J)|0,i=(i=i+Math.imul(L,K)|0)+Math.imul(C,J)|0,a=a+Math.imul(C,K)|0,n=n+Math.imul(M,Q)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,Q)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(A,rt)|0,a=a+Math.imul(A,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(y,lt)|0,i=(i=i+Math.imul(y,ut)|0)+Math.imul(m,lt)|0,a=a+Math.imul(m,ut)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(v,ft)|0,a=a+Math.imul(v,ht)|0;var kt=(u+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,vt)|0)+Math.imul(h,dt)|0))<<13)|0;u=((a=a+Math.imul(h,vt)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,q),i=(i=Math.imul(B,G))+Math.imul(N,q)|0,a=Math.imul(N,G),n=n+Math.imul(z,W)|0,i=(i=i+Math.imul(z,Z)|0)+Math.imul(R,W)|0,a=a+Math.imul(R,Z)|0,n=n+Math.imul(O,J)|0,i=(i=i+Math.imul(O,K)|0)+Math.imul(I,J)|0,a=a+Math.imul(I,K)|0,n=n+Math.imul(L,Q)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,Q)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(A,at)|0,a=a+Math.imul(A,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ut)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ut)|0,n=n+Math.imul(y,ft)|0,i=(i=i+Math.imul(y,ht)|0)+Math.imul(m,ft)|0,a=a+Math.imul(m,ht)|0;var Mt=(u+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,vt)|0)+Math.imul(v,dt)|0))<<13)|0;u=((a=a+Math.imul(v,vt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,W),i=(i=Math.imul(B,Z))+Math.imul(N,W)|0,a=Math.imul(N,Z),n=n+Math.imul(z,J)|0,i=(i=i+Math.imul(z,K)|0)+Math.imul(R,J)|0,a=a+Math.imul(R,K)|0,n=n+Math.imul(O,Q)|0,i=(i=i+Math.imul(O,tt)|0)+Math.imul(I,Q)|0,a=a+Math.imul(I,tt)|0,n=n+Math.imul(L,rt)|0,i=(i=i+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ut)|0)+Math.imul(A,lt)|0,a=a+Math.imul(A,ut)|0,n=n+Math.imul(b,ft)|0,i=(i=i+Math.imul(b,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var St=(u+(n=n+Math.imul(y,dt)|0)|0)+((8191&(i=(i=i+Math.imul(y,vt)|0)+Math.imul(m,dt)|0))<<13)|0;u=((a=a+Math.imul(m,vt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,J),i=(i=Math.imul(B,K))+Math.imul(N,J)|0,a=Math.imul(N,K),n=n+Math.imul(z,Q)|0,i=(i=i+Math.imul(z,tt)|0)+Math.imul(R,Q)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(O,rt)|0,i=(i=i+Math.imul(O,nt)|0)+Math.imul(I,rt)|0,a=a+Math.imul(I,nt)|0,n=n+Math.imul(L,at)|0,i=(i=i+Math.imul(L,ot)|0)+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ut)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ut)|0,n=n+Math.imul(T,ft)|0,i=(i=i+Math.imul(T,ht)|0)+Math.imul(A,ft)|0,a=a+Math.imul(A,ht)|0;var Et=(u+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,vt)|0)+Math.imul(_,dt)|0))<<13)|0;u=((a=a+Math.imul(_,vt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,Q),i=(i=Math.imul(B,tt))+Math.imul(N,Q)|0,a=Math.imul(N,tt),n=n+Math.imul(z,rt)|0,i=(i=i+Math.imul(z,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(O,at)|0,i=(i=i+Math.imul(O,ot)|0)+Math.imul(I,at)|0,a=a+Math.imul(I,ot)|0,n=n+Math.imul(L,lt)|0,i=(i=i+Math.imul(L,ut)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ut)|0,n=n+Math.imul(M,ft)|0,i=(i=i+Math.imul(M,ht)|0)+Math.imul(S,ft)|0,a=a+Math.imul(S,ht)|0;var Lt=(u+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,vt)|0)+Math.imul(A,dt)|0))<<13)|0;u=((a=a+Math.imul(A,vt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(z,at)|0,i=(i=i+Math.imul(z,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(O,lt)|0,i=(i=i+Math.imul(O,ut)|0)+Math.imul(I,lt)|0,a=a+Math.imul(I,ut)|0,n=n+Math.imul(L,ft)|0,i=(i=i+Math.imul(L,ht)|0)+Math.imul(C,ft)|0,a=a+Math.imul(C,ht)|0;var Ct=(u+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,vt)|0)+Math.imul(S,dt)|0))<<13)|0;u=((a=a+Math.imul(S,vt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(z,lt)|0,i=(i=i+Math.imul(z,ut)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ut)|0,n=n+Math.imul(O,ft)|0,i=(i=i+Math.imul(O,ht)|0)+Math.imul(I,ft)|0,a=a+Math.imul(I,ht)|0;var Pt=(u+(n=n+Math.imul(L,dt)|0)|0)+((8191&(i=(i=i+Math.imul(L,vt)|0)+Math.imul(C,dt)|0))<<13)|0;u=((a=a+Math.imul(C,vt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ut))+Math.imul(N,lt)|0,a=Math.imul(N,ut),n=n+Math.imul(z,ft)|0,i=(i=i+Math.imul(z,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var Ot=(u+(n=n+Math.imul(O,dt)|0)|0)+((8191&(i=(i=i+Math.imul(O,vt)|0)+Math.imul(I,dt)|0))<<13)|0;u=((a=a+Math.imul(I,vt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var It=(u+(n=n+Math.imul(z,dt)|0)|0)+((8191&(i=(i=i+Math.imul(z,vt)|0)+Math.imul(R,dt)|0))<<13)|0;u=((a=a+Math.imul(R,vt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863;var Dt=(u+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,vt))+Math.imul(N,dt)|0))<<13)|0;return u=((a=Math.imul(N,vt))+(i>>>13)|0)+(Dt>>>26)|0,Dt&=67108863,l[0]=gt,l[1]=yt,l[2]=mt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=At,l[9]=kt,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Pt,l[16]=Ot,l[17]=It,l[18]=Dt,0!==u&&(l[19]=u,r.length++),r};function v(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r,n=this.length+t.length;return r=10===this.length&&10===t.length?d(this,t,e):n<63?p(this,t,e):n<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a<r.length-1;a++){var o=i;i=0;for(var s=67108863&n,l=Math.min(a,e.length-1),u=Math.max(0,a-t.length+1);u<=l;u++){var c=a-u,f=(0|t.words[c])*(0|e.words[u]),h=67108863&f;s=67108863&(h=h+s|0),i+=(o=(o=o+(f/67108864|0)|0)+(h>>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):v(this,t,e),r},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},g.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i<e;i++)n|=(1&t)<<e-i-1,t>>=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o<a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},g.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o<i;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),u=Math.sin(2*Math.PI/s),c=0;c<i;c+=s)for(var f=l,h=u,p=0;p<o;p++){var d=r[c+p],v=n[c+p],g=r[c+p+o],y=n[c+p+o],m=f*g-h*y;y=f*y+h*g,g=m,r[c+p]=d+g,n[c+p]=v+y,r[c+p+o]=d-g,n[c+p+o]=v-y,p!==s&&(m=l*f-u*h,h=l*h+u*f,f=m)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,i=0;for(r=r/2|0;r;r>>>=1)i++;return 1<<i+1+n},g.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var i=t[n];t[n]=t[r-n-1],t[r-n-1]=i,i=e[n],e[n]=-e[r-n-1],e[r-n-1]=-i}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&i,r=i<67108864?0:i/67108864|0}return t},g.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o<e;o++)a+=0|t[o],r[2*o]=8191&a,a>>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o<i;++o)r[o]=0;n(0===a),n(!(-8192&a))},g.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},g.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(n),a=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),u=new Array(n),c=new Array(n),f=new Array(n),h=r.words;h.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,u,n),this.transform(o,a,s,l,n,i),this.transform(u,a,c,f,n,i);for(var p=0;p<n;p++){var d=s[p]*c[p]-l[p]*f[p];l[p]=s[p]*f[p]+l[p]*c[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,h,a,n,i),this.conjugate(h,a,n),this.normalize13b(h,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},a.prototype.mul=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},a.prototype.mulf=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),v(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n("number"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var i=(0|this.words[r])*t,a=(67108863&i)+(67108863&e);e>>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,i=r%26;e[r]=(t.words[n]&1<<i)>>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var i=r.sqr();n<e.length;n++,i=i.sqr())0!==e[n]&&(r=r.mul(i));return r},a.prototype.iushln=function(t){n("number"==typeof t&&t>=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&a,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e<i;e++)this.words[e]=0;this.length+=i}return this.strip()},a.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},a.prototype.iushrn=function(t,e,r){var i;n("number"==typeof t&&t>=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<<a,l=r;if(i-=o,i=Math.max(0,i),l){for(var u=0;u<o;u++)l.words[u]=this.words[u];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,u=0;u<this.length;u++)this.words[u]=this.words[u+o];else this.words[0]=0,this.length=1;var c=0;for(u=this.length-1;u>=0&&(0!==c||u>=i);u--){var f=0|this.words[u];this.words[u]=c<<26-a|f>>>a,c=f&s}return l&&0!==c&&(l.words[l.length++]=c),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n("number"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<<e;return!(this.length<=r||!(this.words[r]&i))},a.prototype.imaskn=function(t){n("number"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,"imaskn works only with positive numbers"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<<e;this.words[this.length-1]&=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n("number"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},a.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n("number"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},a.prototype.addn=function(t){return this.clone().iaddn(t)},a.prototype.subn=function(t){return this.clone().isubn(t)},a.prototype.iabs=function(){return this.negative=0,this},a.prototype.abs=function(){return this.clone().iabs()},a.prototype._ishlnsubmul=function(t,e,r){var i,a,o=t.length+r;this._expand(o);var s=0;for(i=0;i<t.length;i++){a=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;s=((a-=67108863&l)>>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i<this.length-r;i++)s=(a=(0|this.words[i+r])+s)>>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i<this.length;i++)s=(a=-(0|this.words[i])+s)>>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!=(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if("mod"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var u=0;u<s.length;u++)s.words[u]=0}var c=n.clone()._ishlnsubmul(i,1,l);0===c.negative&&(n=c,s&&(s.words[l]=1));for(var f=l-1;f>=0;f--){var h=67108864*(0|n.words[i.length+f])+(0|n.words[i.length+f-1]);for(h=Math.min(h/o|0,67108863),n._ishlnsubmul(i,h,f);0!==n.negative;)h--,n.negative=0,n._ishlnsubmul(i,1,f),n.isZero()||(n.negative^=1);s&&(s.words[f]=h)}return s&&s.strip(),n.strip(),"div"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),"mod"!==e&&(i=s.div.neg()),"div"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),"mod"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!==(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),"div"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?"div"===e?{div:this.divn(t.words[0]),mod:null}:"mod"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,"div",!1).div},a.prototype.mod=function(t){return this.divmod(t,"mod",!1).mod},a.prototype.umod=function(t){return this.divmod(t,"mod",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),u=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++u;for(var c=r.clone(),f=e.clone();!e.isZero();){for(var h=0,p=1;0===(e.words[0]&p)&&h<26;++h,p<<=1);if(h>0)for(e.iushrn(h);h-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(c),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,v=1;0===(r.words[0]&v)&&d<26;++d,v<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(c),l.isub(f)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(u)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var u=0,c=1;0===(e.words[0]&c)&&u<26;++u,c<<=1);if(u>0)for(e.iushrn(u);u-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var f=0,h=1;0===(r.words[0]&h)&&f<26;++f,h<<=1);if(f>0)for(r.iushrn(f);f-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return!(1&this.words[0])},a.prototype.isOdd=function(){return!(1&~this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n("number"==typeof t);var e=t%26,r=(t-e)/26,i=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&&o<this.length;o++){var s=0|this.words[o];a=(s+=a)>>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,"Number is too big");var i=0|this.words[0];e=i===t?0:i<t?-1:1}return 0!==this.negative?0|-e:e},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},a.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n<i?e=-1:n>i&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new T(t)},a.prototype.toRed=function(t){return n(!this.red,"Already a number in reduction context"),n(0===this.negative,"red works only with positives"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,"fromRed works only with numbers in reduction context"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,"Already a number in reduction context"),this._forceRed(t)},a.prototype.redAdd=function(t){return n(this.red,"redAdd works only with red numbers"),this.red.add(this,t)},a.prototype.redIAdd=function(t){return n(this.red,"redIAdd works only with red numbers"),this.red.iadd(this,t)},a.prototype.redSub=function(t){return n(this.red,"redSub works only with red numbers"),this.red.sub(this,t)},a.prototype.redISub=function(t){return n(this.red,"redISub works only with red numbers"),this.red.isub(this,t)},a.prototype.redShl=function(t){return n(this.red,"redShl works only with red numbers"),this.red.shl(this,t)},a.prototype.redMul=function(t){return n(this.red,"redMul works only with red numbers"),this.red._verify2(this,t),this.red.mul(this,t)},a.prototype.redIMul=function(t){return n(this.red,"redMul works only with red numbers"),this.red._verify2(this,t),this.red.imul(this,t)},a.prototype.redSqr=function(){return n(this.red,"redSqr works only with red numbers"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,"redISqr works only with red numbers"),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,"redSqrt works only with red numbers"),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,"redInvm works only with red numbers"),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,"redNeg works only with red numbers"),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&&!t.red,"redPow(normalNum)"),this.red._verify1(this),this.red.pow(this,t)};var y={k256:null,p224:null,p192:null,p25519:null};function m(t,e){this.name=t,this.p=new a(e,16),this.n=this.p.bitLength(),this.k=new a(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function x(){m.call(this,"k256","ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f")}function b(){m.call(this,"p224","ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001")}function _(){m.call(this,"p192","ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff")}function w(){m.call(this,"25519","7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed")}function T(t){if("string"==typeof t){var e=a._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),"modulus must be greater than 1"),this.m=t,this.prime=null}function A(t){T.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}m.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},m.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),e=(r=(r=this.imulK(r)).iadd(this.tmp)).bitLength()}while(e>this.n);var n=e<this.n?-1:r.ucmp(this.p);return 0===n?(r.words[0]=0,r.length=1):n>0?r.isub(this.p):void 0!==r.strip?r.strip():r._strip(),r},m.prototype.split=function(t,e){t.iushrn(this.n,0,e)},m.prototype.imulK=function(t){return t.imul(this.k)},i(x,m),x.prototype.split=function(t,e){for(var r=4194303,n=Math.min(t.length,9),i=0;i<n;i++)e.words[i]=t.words[i];if(e.length=n,t.length<=9)return t.words[0]=0,void(t.length=1);var a=t.words[9];for(e.words[e.length++]=a&r,i=10;i<t.length;i++){var o=0|t.words[i];t.words[i-10]=(o&r)<<4|a>>>22,a=o}a>>>=22,t.words[i-10]=a,0===a&&t.length>10?t.length-=10:t.length-=9},x.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r<t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&e,e=64*n+(e/67108864|0)}return 0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},i(b,m),i(_,m),i(w,m),w.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,i=67108863&n;n>>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(y[t])return y[t];var e;if("k256"===t)e=new x;else if("p224"===t)e=new b;else if("p192"===t)e=new _;else{if("p25519"!==t)throw new Error("Unknown prime "+t);e=new w}return y[t]=e,e},T.prototype._verify1=function(t){n(0===t.negative,"red works only with positives"),n(t.red,"red works only with red numbers")},T.prototype._verify2=function(t,e){n(0===(t.negative|e.negative),"red works only with positives"),n(t.red&&t.red===e.red,"red works only with red numbers")},T.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},T.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},T.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},T.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},T.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},T.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},T.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},T.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},T.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},T.prototype.isqr=function(t){return this.imul(t,t.clone())},T.prototype.sqr=function(t){return this.mul(t,t)},T.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return this.pow(t,r)}for(var i=this.m.subn(1),o=0;!i.isZero()&&0===i.andln(1);)o++,i.iushrn(1);n(!i.isZero());var s=new a(1).toRed(this),l=s.redNeg(),u=this.m.subn(1).iushrn(1),c=this.m.bitLength();for(c=new a(2*c*c).toRed(this);0!==this.pow(c,u).cmp(l);)c.redIAdd(l);for(var f=this.pow(c,i),h=this.pow(t,i.addn(1).iushrn(1)),p=this.pow(t,i),d=o;0!==p.cmp(s);){for(var v=p,g=0;0!==v.cmp(s);g++)v=v.redSqr();n(g<d);var y=this.pow(f,new a(1).iushln(d-g-1));h=h.redMul(y),f=y.redSqr(),p=p.redMul(f),d=g}return h},T.prototype.invm=function(t){var e=t._invmp(this.m);return 0!==e.negative?(e.negative=0,this.imod(e).redNeg()):this.imod(e)},T.prototype.pow=function(t,e){if(e.isZero())return new a(1).toRed(this);if(0===e.cmpn(1))return t.clone();var r=new Array(16);r[0]=new a(1).toRed(this),r[1]=t;for(var n=2;n<r.length;n++)r[n]=this.mul(r[n-1],t);var i=r[0],o=0,s=0,l=e.bitLength()%26;for(0===l&&(l=26),n=e.length-1;n>=0;n--){for(var u=e.words[n],c=l-1;c>=0;c--){var f=u>>c&1;i!==r[0]&&(i=this.sqr(i)),0!==f||0!==o?(o<<=1,o|=f,(4===++s||0===n&&0===c)&&(i=this.mul(i,r[o]),s=0,o=0)):s=0}l=26}return i},T.prototype.convertTo=function(t){var e=t.umod(this.m);return e===t?e.clone():e},T.prototype.convertFrom=function(t){var e=t.clone();return e.red=null,e},a.mont=function(t){return new A(t)},i(A,T),A.prototype.convertTo=function(t){return this.imod(t.ushln(this.shift))},A.prototype.convertFrom=function(t){var e=this.imod(t.mul(this.rinv));return e.red=null,e},A.prototype.imul=function(t,e){if(t.isZero()||e.isZero())return t.words[0]=0,t.length=1,t;var r=t.imul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),a=i;return i.cmp(this.m)>=0?a=i.isub(this.m):i.cmpn(0)<0&&(a=i.iadd(this.m)),a._forceRed(this)},A.prototype.mul=function(t,e){if(t.isZero()||e.isZero())return new a(0)._forceRed(this);var 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f=o[o.length-2];for(f.left===s?f.left=null:f.right===s&&(f.right=null),o.pop(),l=0;l<o.length;++l)o[l]._count--;return new a(this.tree._compare,o[0])}if(s.left||s.right){for(s.left?h(s,s.left):s.right&&h(s,s.right),s._color=1,l=0;l<o.length-1;++l)o[l]._count--;return new a(this.tree._compare,o[0])}if(1===o.length)return new a(this.tree._compare,null);for(l=0;l<o.length;++l)o[l]._count--;var p=o[o.length-2];return function(t){for(var e,a,o,s,l=t.length-1;l>=0;--l){if(e=t[l],0===l)return void(e._color=1);if((a=t[l-1]).left===e){if((o=a.right).right&&0===o.right._color)return s=(o=a.right=r(o)).right=r(o.right),a.right=o.left,o.left=a,o.right=s,o._color=a._color,e._color=1,a._color=1,s._color=1,i(a),i(o),l>1&&((u=t[l-2]).left===a?u.left=o:u.right=o),void(t[l-1]=o);if(o.left&&0===o.left._color)return s=(o=a.right=r(o)).left=r(o.left),a.right=s.left,o.left=s.right,s.left=a,s.right=o,s._color=a._color,a._color=1,o._color=1,e._color=1,i(a),i(o),i(s),l>1&&((u=t[l-2]).left===a?u.left=s:u.right=s),void(t[l-1]=s);if(1===o._color){if(0===a._color)return a._color=1,void(a.right=n(0,o));a.right=n(0,o);continue}o=r(o),a.right=o.left,o.left=a,o._color=a._color,a._color=0,i(a),i(o),l>1&&((u=t[l-2]).left===a?u.left=o:u.right=o),t[l-1]=o,t[l]=a,l+1<t.length?t[l+1]=e:t.push(e),l+=2}else{if((o=a.left).left&&0===o.left._color)return s=(o=a.left=r(o)).left=r(o.left),a.left=o.right,o.right=a,o.left=s,o._color=a._color,e._color=1,a._color=1,s._color=1,i(a),i(o),l>1&&((u=t[l-2]).right===a?u.right=o:u.left=o),void(t[l-1]=o);if(o.right&&0===o.right._color)return 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a(this.tree._compare,n[0])},f.prev=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.left)for(e=e.left;e;)t.push(e),e=e.right;else for(t.pop();t.length>0&&t[t.length-1].left===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(f,"hasPrev",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].left)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].right===t[e])return!0;return!1}})},7453:function(t,e,r){"use strict";t.exports=function(t,e){var r=new c(t);return r.update(e),r};var n=r(9557),i=r(1681),a=r(1011),o=r(2864),s=r(8468),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]);function u(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function 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v=l("labels");l("labelFont")&&(v=!0),o("labelEnable"),a("labelSize"),a("labelPad"),u("labelColor"),o("lineEnable"),o("lineMirror"),a("lineWidth"),u("lineColor"),o("lineTickEnable"),o("lineTickMirror"),a("lineTickLength"),a("lineTickWidth"),u("lineTickColor"),o("gridEnable"),a("gridWidth"),u("gridColor"),o("zeroEnable"),u("zeroLineColor"),a("zeroLineWidth"),o("backgroundEnable"),u("backgroundColor"),this._text?this._text&&(v||c)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&c&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var p=[new h,new h,new h];function d(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,u=n[e],c=0;c<3;++c)if(e!==c){var f=a,h=s,p=o,d=l;u&1<<c&&(f=s,h=a,p=l,d=o),f[c]=r[0][c],h[c]=r[1][c],i[c]>0?(p[c]=-1,d[c]=0):(p[c]=0,d[c]=1)}}var v=[0,0,0],g={model:l,view:l,projection:l,_ortho:!1};f.isOpaque=function(){return!0},f.isTransparent=function(){return!1},f.drawTransparent=function(t){};var y=[0,0,0],m=[0,0,0],x=[0,0,0];f.draw=function(t){t=t||g;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,c=o(r,n,i,a,s),f=c.cubeEdges,h=c.axis,b=n[12],_=n[13],w=n[14],T=n[15],A=(s?2:1)*this.pixelRatio*(i[3]*b+i[7]*_+i[11]*w+i[15]*T)/e.drawingBufferHeight,k=0;k<3;++k)this.lastCubeProps.cubeEdges[k]=f[k],this.lastCubeProps.axis[k]=h[k];var M=p;for(k=0;k<3;++k)d(p[k],k,this.bounds,f,h);e=this.gl;var S,E,L,C=v;for(k=0;k<3;++k)this.backgroundEnable[k]?C[k]=h[k]:C[k]=0;for(this._background.draw(r,n,i,a,C,this.backgroundColor),this._lines.bind(r,n,i,this),k=0;k<3;++k){var P=[0,0,0];h[k]>0?P[k]=a[1][k]:P[k]=a[0][k];for(var O=0;O<2;++O){var 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B=A/r[5*O];z[O]*=F[O]*B,R[O]*=F[O]*B}this.lineTickEnable[k]&&this._lines.drawAxisTicks(k,M[k].primalOffset,z,this.lineTickColor[k],this.lineTickWidth[k]*this.pixelRatio),this.lineTickMirror[k]&&this._lines.drawAxisTicks(k,M[k].mirrorOffset,R,this.lineTickColor[k],this.lineTickWidth[k]*this.pixelRatio)}function N(t){(L=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio),k=0;k<3;++k){var U=M[k].primalMinor,V=M[k].mirrorMinor,H=u(x,M[k].primalOffset);for(O=0;O<3;++O)this.lineTickEnable[k]&&(H[O]+=A*U[O]*Math.max(this.lineTickLength[O],0)/r[5*O]);var q=[0,0,0];if(q[k]=1,this.tickEnable[k]){for(-3600===this.tickAngle[k]?(this.tickAngle[k]=0,this.tickAlign[k]="auto"):this.tickAlign[k]=-1,E=1,"auto"===(S=[this.tickAlign[k],.5,E])[0]?S[0]=0:S[0]=parseInt(""+S[0]),L=[0,0,0],j(k,U,V),O=0;O<3;++O)H[O]+=A*U[O]*this.tickPad[O]/r[5*O];this._text.drawTicks(k,this.tickSize[k],this.tickAngle[k],H,this.tickColor[k],q,L,S)}if(this.labelEnable[k]){for(E=0,L=[0,0,0],this.labels[k].length>4&&(N(k),E=1),"auto"===(S=[this.labelAlign[k],.5,E])[0]?S[0]=0:S[0]=parseInt(""+S[0]),O=0;O<3;++O)H[O]+=A*U[O]*this.labelPad[O]/r[5*O];H[k]+=.5*(a[0][k]+a[1][k]),this._text.drawLabel(k,this.labelSize[k],this.labelAngle[k],H,this.labelColor[k],[0,0,0],L,S)}}this._text.unbind()},f.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},1011:function(t,e,r){"use strict";t.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var u=(l+1)%3,c=(l+2)%3,f=[0,0,0],h=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=p,h[l]=p;for(var d=-1;d<=1;d+=2){f[u]=d;for(var v=-1;v<=1;v+=2)f[c]=v,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var g=u;u=c,c=g}var y=n(t,new Float32Array(e)),m=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:y,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:y,type:t.FLOAT,size:3,offset:12,stride:24}],m),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,y,x,b)};var n=r(5827),i=r(2944),a=r(1943).bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},2864:function(t,e,r){"use strict";t.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var m=0,x=0;x<2;++x){c[2]=a[x][2];for(var b=0;b<2;++b){c[1]=a[b][1];for(var _=0;_<2;++_)c[0]=a[_][0],h(l[m],c,s),m+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],A=0;A<3;++A)u[x][A]=l[x][A]/T;p&&(u[x][2]*=-1),T<0&&(w<0||u[x][2]<u[w][2])&&(w=x)}if(w<0){w=0;for(var k=0;k<3;++k){for(var M=(k+2)%3,S=(k+1)%3,E=-1,L=-1,C=0;C<2;++C){var P=(I=C<<k)+(C<<M)+(1-C<<S),O=I+(1-C<<M)+(C<<S);o(u[I],u[P],u[O],f)<0||(C?E=1:L=1)}if(E<0||L<0)L>E&&(w|=1<<k);else{for(C=0;C<2;++C){P=(I=C<<k)+(C<<M)+(1-C<<S),O=I+(1-C<<M)+(C<<S);var I,D=d([l[I],l[P],l[O],l[I+(1<<M)+(1<<S)]]);C?E=D:L=D}L>E&&(w|=1<<k)}}}var z=7^w,R=-1;for(x=0;x<8;++x)x!==w&&x!==z&&(R<0||u[R][1]>u[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x)(N=R^1<<x)!==w&&N!==z&&(F<0&&(F=N),(S=u[N])[0]<u[F][0]&&(F=N));var B=-1;for(x=0;x<3;++x){var N;(N=R^1<<x)!==w&&N!==z&&N!==F&&(B<0&&(B=N),(S=u[N])[0]>u[B][0]&&(B=N))}var j=v;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===z?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=g,H=w;for(k=0;k<3;++k)V[k]=H&1<<k?-1:1;return y};var n=r(2288),i=r(104),a=r(4670),o=r(417),s=new Array(16),l=new Array(8),u=new Array(8),c=new Array(3),f=[0,0,0];function h(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var i=0;i<3;++i)t[n]+=e[i]*r[4*i+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],u[t]=[1,1,1]}();var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function d(t){for(var e=0;e<p.length;++e)if((t=a.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],i=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],u=s[0]/s[3]-n,c=s[1]/s[3]-i,f=l[0]/l[3]-n,h=l[1]/l[3]-i;o+=Math.abs(u*h-c*f)}return o}var v=[1,1,1],g=[0,0,0],y={cubeEdges:v,axis:g}},1681:function(t,e,r){"use strict";t.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],u=[0,0,0],c=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var f=0;f<3;++f){for(var h=o.length/3|0,d=0;d<r[f].length;++d){var v=+r[f][d].x;o.push(v,0,1,v,1,1,v,0,-1,v,0,-1,v,1,1,v,1,-1)}var g=o.length/3|0;s[f]=h,l[f]=g-h,h=o.length/3|0;for(var y=0;y<r[f].length;++y)v=+r[f][y].x,o.push(v,0,1,v,1,1,v,0,-1,v,0,-1,v,1,1,v,1,-1);g=o.length/3|0,u[f]=h,c[f]=g-h}var m=n(t,new Float32Array(o)),x=i(t,[{buffer:m,type:t.FLOAT,size:3,stride:0,offset:0}]),b=a(t);return b.attributes.position.location=0,new p(t,m,x,b,l,s,c,u)};var n=r(5827),i=r(2944),a=r(1943).j,o=[0,0,0],s=[0,0,0],l=[0,0,0],u=[0,0,0],c=[1,1];function f(t){return t[0]=t[1]=t[2]=0,t}function h(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,i,a,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=i,this.tickOffset=a,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,c[0]=this.gl.drawingBufferWidth,c[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=c,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,i){var a=f(s);this.shader.uniforms.majorAxis=s,a[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=a;var o,c=h(u,r);c[t]+=e[0][t],this.shader.uniforms.offset=c,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=n,(o=f(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=f(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,i){if(this.tickCount[t]){var a=f(o);a[t]=1,this.shader.uniforms.majorAxis=a,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=i;var s=f(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},d.drawGrid=function(t,e,r,n,i,a){if(this.gridCount[t]){var c=f(s);c[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=c;var p=h(u,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=f(o);d[t]=1,this.shader.uniforms.majorAxis=d;var v=f(l);v[t]=1,this.shader.uniforms.screenAxis=v,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,i,a){var o=f(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var c=h(u,n);c[t]+=r[0][t],this.shader.uniforms.offset=c;var p=f(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},1943:function(t,e,r){"use strict";var n=r(6832),i=r(5158),a=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\n\nuniform mat4 model, view, projection;\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\nuniform float lineWidth;\nuniform vec2 screenShape;\n\nvec3 project(vec3 p) {\n  vec4 pp = projection * view * model * vec4(p, 1.0);\n  return pp.xyz / max(pp.w, 0.0001);\n}\n\nvoid main() {\n  vec3 major = position.x * majorAxis;\n  vec3 minor = position.y * minorAxis;\n\n  vec3 vPosition = major + minor + offset;\n  vec3 pPosition = project(vPosition);\n  vec3 offset = project(vPosition + screenAxis * position.z);\n\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\n\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\n}\n"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 color;\nvoid main() {\n  gl_FragColor = color;\n}"]);e.j=function(t){return i(t,a,o,null,[{name:"position",type:"vec3"}])};var s=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\n\nuniform mat4 model, view, projection;\nuniform vec3 offset, axis, alignDir, alignOpt;\nuniform float scale, angle, pixelScale;\nuniform vec2 resolution;\n\nvec3 project(vec3 p) {\n  vec4 pp = projection * view * model * vec4(p, 1.0);\n  return pp.xyz / max(pp.w, 0.0001);\n}\n\nfloat computeViewAngle(vec3 a, vec3 b) {\n  vec3 A = project(a);\n  vec3 B = project(b);\n\n  return atan(\n    (B.y - A.y) * resolution.y,\n    (B.x - A.x) * resolution.x\n  );\n}\n\nconst float PI = 3.141592;\nconst float TWO_PI = 2.0 * PI;\nconst float HALF_PI = 0.5 * PI;\nconst float ONE_AND_HALF_PI = 1.5 * PI;\n\nint option = int(floor(alignOpt.x + 0.001));\nfloat hv_ratio =       alignOpt.y;\nbool enableAlign =    (alignOpt.z != 0.0);\n\nfloat mod_angle(float a) {\n  return mod(a, PI);\n}\n\nfloat positive_angle(float a) {\n  return mod_angle((a < 0.0) ?\n    a + TWO_PI :\n    a\n  );\n}\n\nfloat look_upwards(float a) {\n  float b = positive_angle(a);\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\n    b - PI :\n    b;\n}\n\nfloat look_horizontal_or_vertical(float a, float ratio) {\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\n  // if ratio is set to 0.5 then it is 50%, 50%.\n  // when using a higher ratio e.g. 0.75 the result would\n  // likely be more horizontal than vertical.\n\n  float b = positive_angle(a);\n\n  return\n    (b < (      ratio) * HALF_PI) ? 0.0 :\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\n                                    0.0;\n}\n\nfloat roundTo(float a, float b) {\n  return float(b * floor((a + 0.5 * b) / b));\n}\n\nfloat look_round_n_directions(float a, int n) {\n  float b = positive_angle(a);\n  float div = TWO_PI / float(n);\n  float c = roundTo(b, div);\n  return look_upwards(c);\n}\n\nfloat applyAlignOption(float rawAngle, float delta) {\n  return\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\n                    rawAngle;                // otherwise return back raw input angle\n}\n\nbool isAxisTitle = (axis.x == 0.0) &&\n                   (axis.y == 0.0) &&\n                   (axis.z == 0.0);\n\nvoid main() {\n  //Compute world offset\n  float axisDistance = position.z;\n  vec3 dataPosition = axisDistance * axis + offset;\n\n  float beta = angle; // i.e. user defined attributes for each tick\n\n  float axisAngle;\n  float clipAngle;\n  float flip;\n\n  if (enableAlign) {\n    axisAngle = (isAxisTitle) ? HALF_PI :\n                      computeViewAngle(dataPosition, dataPosition + axis);\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\n\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\n\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\n\n    beta += applyAlignOption(clipAngle, flip * PI);\n  }\n\n  //Compute plane offset\n  vec2 planeCoord = position.xy * pixelScale;\n\n  mat2 planeXform = scale * mat2(\n     cos(beta), sin(beta),\n    -sin(beta), cos(beta)\n  );\n\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\n\n  //Compute clip position\n  vec3 clipPosition = project(dataPosition);\n\n  //Apply text offset in clip coordinates\n  clipPosition += vec3(viewOffset, 0.0);\n\n  //Done\n  gl_Position = vec4(clipPosition, 1.0);\n}"]),l=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 color;\nvoid main() {\n  gl_FragColor = color;\n}"]);e.f=function(t){return i(t,s,l,null,[{name:"position",type:"vec3"}])};var u=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec3 normal;\n\nuniform mat4 model, view, projection;\nuniform vec3 enable;\nuniform vec3 bounds[2];\n\nvarying vec3 colorChannel;\n\nvoid main() {\n\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\n\n  vec3 realNormal = signAxis * normal;\n\n  if(dot(realNormal, enable) > 0.0) {\n    vec3 minRange = min(bounds[0], bounds[1]);\n    vec3 maxRange = max(bounds[0], bounds[1]);\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\n    gl_Position = projection * view * model * vec4(nPosition, 1.0);\n  } else {\n    gl_Position = vec4(0,0,0,0);\n  }\n\n  colorChannel = abs(realNormal);\n}"]),c=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 colors[3];\n\nvarying vec3 colorChannel;\n\nvoid main() {\n  gl_FragColor = colorChannel.x * colors[0] +\n                 colorChannel.y * colors[1] +\n                 colorChannel.z * colors[2];\n}"]);e.bg=function(t){return i(t,u,c,null,[{name:"position",type:"vec3"},{name:"normal",type:"vec3"}])}},9557:function(t,e,r){"use strict";t.exports=function(t,e,r,i,o,l){var u=n(t),f=a(t,[{buffer:u,size:3}]),h=s(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,i,o,l),p};var n=r(5827),a=r(2944),o=r(875),s=r(1943).f,l=window||i.global||{},u=l.__TEXT_CACHE||{};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}l.__TEXT_CACHE={};var f=c.prototype,h=[0,0];f.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,h[0]=this.gl.drawingBufferWidth,h[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=h},f.unbind=function(){this.vao.unbind()},f.update=function(t,e,r,n,i){var a=[];function s(t,e,r,n,i,s){var l=u[r];l||(l=u[r]={});var c=l[e];c||(c=l[e]=function(t,e){try{return o(t,e)}catch(e){return console.warn('error vectorizing text:"'+t+'" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:"center",textBaseline:"middle",lineSpacing:i,styletags:s}));for(var f=(n||12)/12,h=c.positions,p=c.cells,d=0,v=p.length;d<v;++d)for(var g=p[d],y=2;y>=0;--y){var m=h[g[y]];a.push(f*m[0],-f*m[1],t)}}for(var l=[0,0,0],c=[0,0,0],f=[0,0,0],h=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){f[d]=a.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),h[d]=(a.length/3|0)-f[d],l[d]=a.length/3|0;for(var v=0;v<n[d].length;++v)n[d][v].text&&s(n[d][v].x,n[d][v].text,n[d][v].font||i,n[d][v].fontSize||12,1.25,p);c[d]=(a.length/3|0)-l[d]}this.buffer.update(a),this.tickOffset=l,this.tickCount=c,this.labelOffset=f,this.labelCount=h},f.drawTicks=function(t,e,r,n,i,a,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},f.drawLabel=function(t,e,r,n,i,a,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},f.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}},8468:function(t,e){"use 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h=e.model||u,p=e.view||u,y=e.projection||u,m=e._ortho||!1,x=t.bounds,b=(f=f||a(h,p,y,x,m)).axis;o(c,p,h),o(c,y,c);for(var _=v,w=0;w<3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var T=n(s(c,c));s(c,c);for(var A=0;A<3;++A){var k=(A+1)%3,M=(A+2)%3,S=g;t:for(w=0;w<2;++w){var E=[];if(b[A]<0!=!!w){S[A]=x[w][A];for(var L=0;L<2;++L){S[k]=x[L^w][k];for(var C=0;C<2;++C)S[M]=x[C^L^w][M],E.push(S.slice())}var P=m?5:4;for(L=P;L===P;++L){if(0===E.length)continue t;E=i.positive(E,T[L])}for(L=0;L<E.length;++L){M=E[L];var O=d(g,c,M,r,l);for(C=0;C<3;++C)_[C].lo=Math.min(_[C].lo,M[C]),_[C].hi=Math.max(_[C].hi,M[C]),C!==A&&(_[C].pixelsPerDataUnit=Math.min(_[C].pixelsPerDataUnit,Math.abs(O[C])))}}}}return _};var n=r(5795),i=r(4670),a=r(2864),o=r(104),s=r(2142),l=r(6342),u=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),c=new Float32Array(16);function f(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var h=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,i){for(var a=0;a<3;++a){for(var o=h,s=p,u=0;u<3;++u)s[u]=o[u]=r[u];s[3]=o[3]=1,s[a]+=1,l(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,l(o,o,e),o[3]<0&&(t[a]=1/0);var c=(o[0]/o[3]-s[0]/s[3])*n,f=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(c*c+f*f)}return t}var v=[new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0)],g=[0,0,0]},5827:function(t,e,r){"use strict";var n=r(5306),i=r(7498),a=r(5050),o=["uint8","uint8_clamped","uint16","uint32","int8","int16","int32","float32"];function s(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}var l=s.prototype;function u(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a<0)return t.bufferData(e,i,n),o;if(o+a>r)throw new Error("gl-buffer: If resizing buffer, must not specify offset");return t.bufferSubData(e,a,i),r}function c(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a<i;++a)r[a]=t[a];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if("number"!=typeof e&&(e=-1),this.bind(),"object"==typeof t&&void 0!==t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r="float32"),this.type===this.gl.ELEMENT_ARRAY_BUFFER&&(r=gl.getExtension("OES_element_index_uint")&&"uint16"!==r?"uint32":"uint16"),r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=u(this.gl,this.type,this.length,this.usage,t.data,e):this.length=u(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=u(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?c(t,"uint16"):c(t,"float32"),this.length=u(this.gl,this.type,this.length,this.usage,e<0?f:f.subarray(0,t.length),e),n.free(f)}else if("object"==typeof t&&"number"==typeof t.length)this.length=u(this.gl,this.type,this.length,this.usage,t,e);else{if("number"!=typeof t&&void 0!==t)throw new Error("gl-buffer: Invalid data type");if(e>=0)throw new Error("gl-buffer: Cannot specify offset when resizing buffer");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},t.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error("gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error("gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW");var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},1140:function(t,e,r){"use strict";var n=r(2858);t.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,u=1/0,c=-1/0,f=1/0,h=-1/0,p=null,d=null,v=[],g=1/0,y=!1,m=0;m<r.length;m++){var x=r[m];s=Math.min(x[0],s),l=Math.max(x[0],l),u=Math.min(x[1],u),c=Math.max(x[1],c),f=Math.min(x[2],f),h=Math.max(x[2],h);var b=i[m];if(n.length(b)>o&&(o=n.length(b)),m){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(g=Math.min(g,_),y=!1):y=!0}y||(p=x,d=b),v.push(b)}var w=[s,u,f],T=[l,c,h];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var A=1/o;isFinite(g)||(g=1),a.vectorScale=g;var k=t.coneSize||.5;t.absoluteConeSize&&(k=t.absoluteConeSize*A),a.coneScale=k,m=0;for(var M=0;m<r.length;m++)for(var S=(x=r[m])[0],E=x[1],L=x[2],C=v[m],P=n.length(C)*A,O=0;O<8;O++){a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vertexIntensity.push(P,P,P),a.vertexIntensity.push(P,P,P);var I=a.positions.length;a.cells.push([I-6,I-5,I-4],[I-3,I-2,I-1])}return a};var i=r(7234);t.exports.createMesh=r(5028),t.exports.createConeMesh=function(e,r){return t.exports.createMesh(e,r,{shaders:i,traceType:"cone"})}},5028:function(t,e,r){"use strict";var n=r(5158),i=r(5827),a=r(2944),o=r(8931),s=r(104),l=r(7437),u=r(5050),c=r(9156),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e,r,n,i,a,o,s,l,u,c){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=i,this.triangleVectors=a,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=u,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=c,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=f,this._view=f,this._projection=f,this._resolution=[1,1]}var p=h.prototype;p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,"lightPosition"in t&&(this.lightPosition=t.lightPosition),"opacity"in t&&(this.opacity=t.opacity),"ambient"in t&&(this.ambientLight=t.ambient),"diffuse"in t&&(this.diffuseLight=t.diffuse),"specular"in t&&(this.specularLight=t.specular),"roughness"in t&&(this.roughness=t.roughness),"fresnel"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=c({colormap:t,nshades:256,format:"rgba"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return u(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],f=[];this.cells=r,this.positions=n,this.vectors=i;var h=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,v=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],v=+t.vertexIntensityBounds[1];else for(var g=0;g<p.length;++g){var y=p[g];d=Math.min(d,y),v=Math.max(v,y)}else for(g=0;g<n.length;++g)y=n[g][2],d=Math.min(d,y),v=Math.max(v,y);for(this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],g=0;g<n.length;++g)for(var m=n[g],x=0;x<3;++x)!isNaN(m[x])&&isFinite(m[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],m[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],m[x]));var b=0;t:for(g=0;g<r.length;++g){var _=r[g];if(3===_.length){for(x=0;x<3;++x){m=n[T=_[x]];for(var w=0;w<3;++w)if(isNaN(m[w])||!isFinite(m[w]))continue t}for(x=0;x<3;++x){var T;m=n[T=_[2-x]],a.push(m[0],m[1],m[2],m[3]);var A=i[T];o.push(A[0],A[1],A[2],A[3]||0);var k,M=h;3===M.length?s.push(M[0],M[1],M[2],1):s.push(M[0],M[1],M[2],M[3]),k=p?[(p[T]-d)/(v-d),0]:[(m[2]-d)/(v-d),0],l.push(k[0],k[1]),f.push(g)}b+=1}}this.triangleCount=b,this.trianglePositions.update(a),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(f))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var u={model:r,view:n,projection:i,inverseModel:f.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};u.inverseModel=l(u.inverseModel,u.model),e.disable(e.CULL_FACE),this.texture.bind(0);var c=new Array(16);for(s(c,u.view,u.model),s(c,u.projection,c),l(c,c),o=0;o<3;++o)u.eyePosition[o]=c[12+o]/c[15];var h=c[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*c[4*o+3];for(o=0;o<3;++o){for(var p=c[12+o],d=0;d<3;++d)p+=c[4*d+o]*this.lightPosition[d];u.lightPosition[o]=p/h}if(this.triangleCount>0){var v=this.triShader;v.bind(),v.uniforms=u,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return"cone"===this.traceType?i.index=Math.floor(r[1]/48):"streamtube"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},t.exports=function(t,e,r){var s=r.shaders;1===arguments.length&&(t=(e=t).gl);var l=function(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}(t,s),c=function(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}(t,s),f=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));f.generateMipmap(),f.minFilter=t.LINEAR_MIPMAP_LINEAR,f.magFilter=t.LINEAR;var p=i(t),d=i(t),v=i(t),g=i(t),y=i(t),m=new h(t,f,l,c,p,d,y,v,g,a(t,[{buffer:p,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:v,type:t.FLOAT,size:4},{buffer:g,type:t.FLOAT,size:2},{buffer:d,type:t.FLOAT,size:4}]),r.traceType||"cone");return m.update(e),m}},7234:function(t,e,r){var n=r(6832),i=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n  // Return up-vector for only-z vector.\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n  // Assign z = 0, x = -b, y = a:\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n    return normalize(vec3(-v.y, v.x, 0.0));\n  } else {\n    return normalize(vec3(0.0, v.z, -v.y));\n  }\n}\n\n// Calculate the cone vertex and normal at the given index.\n//\n// The returned vertex is for a cone with its top at origin and height of 1.0,\n// pointing in the direction of the vector attribute.\n//\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\n// These vertices are used to make up the triangles of the cone by the following:\n//   segment + 0 top vertex\n//   segment + 1 perimeter vertex a+1\n//   segment + 2 perimeter vertex a\n//   segment + 3 center base vertex\n//   segment + 4 perimeter vertex a\n//   segment + 5 perimeter vertex a+1\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\n// To go from index to segment, floor(index / 6)\n// To go from segment to angle, 2*pi * (segment/segmentCount)\n// To go from index to segment index, index - (segment*6)\n//\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\n\n  const float segmentCount = 8.0;\n\n  float index = rawIndex - floor(rawIndex /\n    (segmentCount * 6.0)) *\n    (segmentCount * 6.0);\n\n  float segment = floor(0.001 + index/6.0);\n  float segmentIndex = index - (segment*6.0);\n\n  normal = -normalize(d);\n\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\n    return mix(vec3(0.0), -d, coneOffset);\n  }\n\n  float nextAngle = (\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\n  ) ? 1.0 : 0.0;\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\n\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\n  vec3 v2 = v1 - d;\n\n  vec3 u = getOrthogonalVector(d);\n  vec3 v = normalize(cross(u, d));\n\n  vec3 x = u * cos(angle) * length(d)*0.25;\n  vec3 y = v * sin(angle) * length(d)*0.25;\n  vec3 v3 = v2 + x + y;\n  if (segmentIndex < 3.0) {\n    vec3 tx = u * sin(angle);\n    vec3 ty = v * -cos(angle);\n    vec3 tangent = tx + ty;\n    normal = normalize(cross(v3 - v1, tangent));\n  }\n\n  if (segmentIndex == 0.0) {\n    return mix(d, vec3(0.0), coneOffset);\n  }\n  return v3;\n}\n\nattribute vec3 vector;\nattribute vec4 color, position;\nattribute vec2 uv;\n\nuniform float vectorScale, coneScale, coneOffset;\nuniform mat4 model, view, projection, inverseModel;\nuniform vec3 eyePosition, lightPosition;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  // Scale the vector magnitude to stay constant with\n  // model & view changes.\n  vec3 normal;\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n  //Lighting geometry parameters\n  vec4 cameraCoordinate = view * conePosition;\n  cameraCoordinate.xyz /= cameraCoordinate.w;\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\n  vec4 t_position  = view * conePosition;\n  gl_Position      = projection * t_position;\n\n  f_color          = color;\n  f_data           = conePosition.xyz;\n  f_position       = position.xyz;\n  f_uv             = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n  float NdotH = max(x, 0.0001);\n  float cos2Alpha = NdotH * NdotH;\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n  float roughness2 = roughness * roughness;\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n  return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n  vec3 lightDirection,\n  vec3 viewDirection,\n  vec3 surfaceNormal,\n  float roughness,\n  float fresnel) {\n\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n  //Half angle vector\n  vec3 H = normalize(lightDirection + viewDirection);\n\n  //Geometric term\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\n  float VdotH = max(dot(viewDirection, H), 0.000001);\n  float LdotH = max(dot(lightDirection, H), 0.000001);\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\n  float G = min(1.0, min(G1, G2));\n  \n  //Distribution term\n  float D = beckmannDistribution(NdotH, roughness);\n\n  //Fresnel term\n  float F = pow(1.0 - VdotN, fresnel);\n\n  //Multiply terms and done\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform sampler2D texture;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n  vec3 N = normalize(f_normal);\n  vec3 L = normalize(f_lightDirection);\n  vec3 V = normalize(f_eyeDirection);\n\n  if(gl_FrontFacing) {\n    N = -N;\n  }\n\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n\n  gl_FragColor = litColor * opacity;\n}\n"]),o=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n  // Return up-vector for only-z vector.\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n  // Assign z = 0, x = -b, y = a:\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n    return normalize(vec3(-v.y, v.x, 0.0));\n  } else {\n    return normalize(vec3(0.0, v.z, -v.y));\n  }\n}\n\n// Calculate the cone vertex and normal at the given index.\n//\n// The returned vertex is for a cone with its top at origin and height of 1.0,\n// pointing in the direction of the vector attribute.\n//\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\n// These vertices are used to make up the triangles of the cone by the following:\n//   segment + 0 top vertex\n//   segment + 1 perimeter vertex a+1\n//   segment + 2 perimeter vertex a\n//   segment + 3 center base vertex\n//   segment + 4 perimeter vertex a\n//   segment + 5 perimeter vertex a+1\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\n// To go from index to segment, floor(index / 6)\n// To go from segment to angle, 2*pi * (segment/segmentCount)\n// To go from index to segment index, index - (segment*6)\n//\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\n\n  const float segmentCount = 8.0;\n\n  float index = rawIndex - floor(rawIndex /\n    (segmentCount * 6.0)) *\n    (segmentCount * 6.0);\n\n  float segment = floor(0.001 + index/6.0);\n  float segmentIndex = index - (segment*6.0);\n\n  normal = -normalize(d);\n\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\n    return mix(vec3(0.0), -d, coneOffset);\n  }\n\n  float nextAngle = (\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\n  ) ? 1.0 : 0.0;\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\n\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\n  vec3 v2 = v1 - d;\n\n  vec3 u = getOrthogonalVector(d);\n  vec3 v = normalize(cross(u, d));\n\n  vec3 x = u * cos(angle) * length(d)*0.25;\n  vec3 y = v * sin(angle) * length(d)*0.25;\n  vec3 v3 = v2 + x + y;\n  if (segmentIndex < 3.0) {\n    vec3 tx = u * sin(angle);\n    vec3 ty = v * -cos(angle);\n    vec3 tangent = tx + ty;\n    normal = normalize(cross(v3 - v1, tangent));\n  }\n\n  if (segmentIndex == 0.0) {\n    return mix(d, vec3(0.0), coneOffset);\n  }\n  return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform float vectorScale, coneScale, coneOffset;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  vec3 normal;\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n  gl_Position = projection * view * conePosition;\n  f_id        = id;\n  f_position  = position.xyz;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3  clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n  gl_FragColor = vec4(pickId, f_id.xyz);\n}"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec4"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"vector",type:"vec3"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec4"},{name:"id",type:"vec4"},{name:"vector",type:"vec3"}]}},1950:function(t){t.exports={0:"NONE",1:"ONE",2:"LINE_LOOP",3:"LINE_STRIP",4:"TRIANGLES",5:"TRIANGLE_STRIP",6:"TRIANGLE_FAN",256:"DEPTH_BUFFER_BIT",512:"NEVER",513:"LESS",514:"EQUAL",515:"LEQUAL",516:"GREATER",517:"NOTEQUAL",518:"GEQUAL",519:"ALWAYS",768:"SRC_COLOR",769:"ONE_MINUS_SRC_COLOR",770:"SRC_ALPHA",771:"ONE_MINUS_SRC_ALPHA",772:"DST_ALPHA",773:"ONE_MINUS_DST_ALPHA",774:"DST_COLOR",775:"ONE_MINUS_DST_COLOR",776:"SRC_ALPHA_SATURATE",1024:"STENCIL_BUFFER_BIT",1028:"FRONT",1029:"BACK",1032:"FRONT_AND_BACK",1280:"INVALID_ENUM",1281:"INVALID_VALUE",1282:"INVALID_OPERATION",1285:"OUT_OF_MEMORY",1286:"INVALID_FRAMEBUFFER_OPERATION",2304:"CW",2305:"CCW",2849:"LINE_WIDTH",2884:"CULL_FACE",2885:"CULL_FACE_MODE",2886:"FRONT_FACE",2928:"DEPTH_RANGE",2929:"DEPTH_TEST",2930:"DEPTH_WRITEMASK",2931:"DEPTH_CLEAR_VALUE",2932:"DEPTH_FUNC",2960:"STENCIL_TEST",2961:"STENCIL_CLEAR_VALUE",2962:"STENCIL_FUNC",2963:"STENCIL_VALUE_MASK",2964:"STENCIL_FAIL",2965:"STENCIL_PASS_DEPTH_FAIL",2966:"STENCIL_PASS_DEPTH_PASS",2967:"STENCIL_REF",2968:"STENCIL_WRITEMASK",2978:"VIEWPORT",3024:"DITHER",3042:"BLEND",3088:"SCISSOR_BOX",3089:"SCISSOR_TEST",3106:"COLOR_CLEAR_VALUE",3107:"COLOR_WRITEMASK",3317:"UNPACK_ALIGNMENT",3333:"PACK_ALIGNMENT",3379:"MAX_TEXTURE_SIZE",3386:"MAX_VIEWPORT_DIMS",3408:"SUBPIXEL_BITS",3410:"RED_BITS",3411:"GREEN_BITS",3412:"BLUE_BITS",3413:"ALPHA_BITS",3414:"DEPTH_BITS",3415:"STENCIL_BITS",3553:"TEXTURE_2D",4352:"DONT_CARE",4353:"FASTEST",4354:"NICEST",5120:"BYTE",5121:"UNSIGNED_BYTE",5122:"SHORT",5123:"UNSIGNED_SHORT",5124:"INT",5125:"UNSIGNED_INT",5126:"FLOAT",5386:"INVERT",5890:"TEXTURE",6401:"STENCIL_INDEX",6402:"DEPTH_COMPONENT",6406:"ALPHA",6407:"RGB",6408:"RGBA",6409:"LUMINANCE",6410:"LUMINANCE_ALPHA",7680:"KEEP",7681:"REPLACE",7682:"INCR",7683:"DECR",7936:"VENDOR",7937:"RENDERER",7938:"VERSION",9728:"NEAREST",9729:"LINEAR",9984:"NEAREST_MIPMAP_NEAREST",9985:"LINEAR_MIPMAP_NEAREST",9986:"NEAREST_MIPMAP_LINEAR",9987:"LINEAR_MIPMAP_LINEAR",10240:"TEXTURE_MAG_FILTER",10241:"TEXTURE_MIN_FILTER",10242:"TEXTURE_WRAP_S",10243:"TEXTURE_WRAP_T",10497:"REPEAT",10752:"POLYGON_OFFSET_UNITS",16384:"COLOR_BUFFER_BIT",32769:"CONSTANT_COLOR",32770:"ONE_MINUS_CONSTANT_COLOR",32771:"CONSTANT_ALPHA",32772:"ONE_MINUS_CONSTANT_ALPHA",32773:"BLEND_COLOR",32774:"FUNC_ADD",32777:"BLEND_EQUATION_RGB",32778:"FUNC_SUBTRACT",32779:"FUNC_REVERSE_SUBTRACT",32819:"UNSIGNED_SHORT_4_4_4_4",32820:"UNSIGNED_SHORT_5_5_5_1",32823:"POLYGON_OFFSET_FILL",32824:"POLYGON_OFFSET_FACTOR",32854:"RGBA4",32855:"RGB5_A1",32873:"TEXTURE_BINDING_2D",32926:"SAMPLE_ALPHA_TO_COVERAGE",32928:"SAMPLE_COVERAGE",32936:"SAMPLE_BUFFERS",32937:"SAMPLES",32938:"SAMPLE_COVERAGE_VALUE",32939:"SAMPLE_COVERAGE_INVERT",32968:"BLEND_DST_RGB",32969:"BLEND_SRC_RGB",32970:"BLEND_DST_ALPHA",32971:"BLEND_SRC_ALPHA",33071:"CLAMP_TO_EDGE",33170:"GENERATE_MIPMAP_HINT",33189:"DEPTH_COMPONENT16",33306:"DEPTH_STENCIL_ATTACHMENT",33635:"UNSIGNED_SHORT_5_6_5",33648:"MIRRORED_REPEAT",33901:"ALIASED_POINT_SIZE_RANGE",33902:"ALIASED_LINE_WIDTH_RANGE",33984:"TEXTURE0",33985:"TEXTURE1",33986:"TEXTURE2",33987:"TEXTURE3",33988:"TEXTURE4",33989:"TEXTURE5",33990:"TEXTURE6",33991:"TEXTURE7",33992:"TEXTURE8",33993:"TEXTURE9",33994:"TEXTURE10",33995:"TEXTURE11",33996:"TEXTURE12",33997:"TEXTURE13",33998:"TEXTURE14",33999:"TEXTURE15",34e3:"TEXTURE16",34001:"TEXTURE17",34002:"TEXTURE18",34003:"TEXTURE19",34004:"TEXTURE20",34005:"TEXTURE21",34006:"TEXTURE22",34007:"TEXTURE23",34008:"TEXTURE24",34009:"TEXTURE25",34010:"TEXTURE26",34011:"TEXTURE27",34012:"TEXTURE28",34013:"TEXTURE29",34014:"TEXTURE30",34015:"TEXTURE31",34016:"ACTIVE_TEXTURE",34024:"MAX_RENDERBUFFER_SIZE",34041:"DEPTH_STENCIL",34055:"INCR_WRAP",34056:"DECR_WRAP",34067:"TEXTURE_CUBE_MAP",34068:"TEXTURE_BINDING_CUBE_MAP",34069:"TEXTURE_CUBE_MAP_POSITIVE_X",34070:"TEXTURE_CUBE_MAP_NEGATIVE_X",34071:"TEXTURE_CUBE_MAP_POSITIVE_Y",34072:"TEXTURE_CUBE_MAP_NEGATIVE_Y",34073:"TEXTURE_CUBE_MAP_POSITIVE_Z",34074:"TEXTURE_CUBE_MAP_NEGATIVE_Z",34076:"MAX_CUBE_MAP_TEXTURE_SIZE",34338:"VERTEX_ATTRIB_ARRAY_ENABLED",34339:"VERTEX_ATTRIB_ARRAY_SIZE",34340:"VERTEX_ATTRIB_ARRAY_STRIDE",34341:"VERTEX_ATTRIB_ARRAY_TYPE",34342:"CURRENT_VERTEX_ATTRIB",34373:"VERTEX_ATTRIB_ARRAY_POINTER",34466:"NUM_COMPRESSED_TEXTURE_FORMATS",34467:"COMPRESSED_TEXTURE_FORMATS",34660:"BUFFER_SIZE",34661:"BUFFER_USAGE",34816:"STENCIL_BACK_FUNC",34817:"STENCIL_BACK_FAIL",34818:"STENCIL_BACK_PASS_DEPTH_FAIL",34819:"STENCIL_BACK_PASS_DEPTH_PASS",34877:"BLEND_EQUATION_ALPHA",34921:"MAX_VERTEX_ATTRIBS",34922:"VERTEX_ATTRIB_ARRAY_NORMALIZED",34930:"MAX_TEXTURE_IMAGE_UNITS",34962:"ARRAY_BUFFER",34963:"ELEMENT_ARRAY_BUFFER",34964:"ARRAY_BUFFER_BINDING",34965:"ELEMENT_ARRAY_BUFFER_BINDING",34975:"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING",35040:"STREAM_DRAW",35044:"STATIC_DRAW",35048:"DYNAMIC_DRAW",35632:"FRAGMENT_SHADER",35633:"VERTEX_SHADER",35660:"MAX_VERTEX_TEXTURE_IMAGE_UNITS",35661:"MAX_COMBINED_TEXTURE_IMAGE_UNITS",35663:"SHADER_TYPE",35664:"FLOAT_VEC2",35665:"FLOAT_VEC3",35666:"FLOAT_VEC4",35667:"INT_VEC2",35668:"INT_VEC3",35669:"INT_VEC4",35670:"BOOL",35671:"BOOL_VEC2",35672:"BOOL_VEC3",35673:"BOOL_VEC4",35674:"FLOAT_MAT2",35675:"FLOAT_MAT3",35676:"FLOAT_MAT4",35678:"SAMPLER_2D",35680:"SAMPLER_CUBE",35712:"DELETE_STATUS",35713:"COMPILE_STATUS",35714:"LINK_STATUS",35715:"VALIDATE_STATUS",35716:"INFO_LOG_LENGTH",35717:"ATTACHED_SHADERS",35718:"ACTIVE_UNIFORMS",35719:"ACTIVE_UNIFORM_MAX_LENGTH",35720:"SHADER_SOURCE_LENGTH",35721:"ACTIVE_ATTRIBUTES",35722:"ACTIVE_ATTRIBUTE_MAX_LENGTH",35724:"SHADING_LANGUAGE_VERSION",35725:"CURRENT_PROGRAM",36003:"STENCIL_BACK_REF",36004:"STENCIL_BACK_VALUE_MASK",36005:"STENCIL_BACK_WRITEMASK",36006:"FRAMEBUFFER_BINDING",36007:"RENDERBUFFER_BINDING",36048:"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE",36049:"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME",36050:"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL",36051:"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE",36053:"FRAMEBUFFER_COMPLETE",36054:"FRAMEBUFFER_INCOMPLETE_ATTACHMENT",36055:"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT",36057:"FRAMEBUFFER_INCOMPLETE_DIMENSIONS",36061:"FRAMEBUFFER_UNSUPPORTED",36064:"COLOR_ATTACHMENT0",36096:"DEPTH_ATTACHMENT",36128:"STENCIL_ATTACHMENT",36160:"FRAMEBUFFER",36161:"RENDERBUFFER",36162:"RENDERBUFFER_WIDTH",36163:"RENDERBUFFER_HEIGHT",36164:"RENDERBUFFER_INTERNAL_FORMAT",36168:"STENCIL_INDEX8",36176:"RENDERBUFFER_RED_SIZE",36177:"RENDERBUFFER_GREEN_SIZE",36178:"RENDERBUFFER_BLUE_SIZE",36179:"RENDERBUFFER_ALPHA_SIZE",36180:"RENDERBUFFER_DEPTH_SIZE",36181:"RENDERBUFFER_STENCIL_SIZE",36194:"RGB565",36336:"LOW_FLOAT",36337:"MEDIUM_FLOAT",36338:"HIGH_FLOAT",36339:"LOW_INT",36340:"MEDIUM_INT",36341:"HIGH_INT",36346:"SHADER_COMPILER",36347:"MAX_VERTEX_UNIFORM_VECTORS",36348:"MAX_VARYING_VECTORS",36349:"MAX_FRAGMENT_UNIFORM_VECTORS",37440:"UNPACK_FLIP_Y_WEBGL",37441:"UNPACK_PREMULTIPLY_ALPHA_WEBGL",37442:"CONTEXT_LOST_WEBGL",37443:"UNPACK_COLORSPACE_CONVERSION_WEBGL",37444:"BROWSER_DEFAULT_WEBGL"}},6603:function(t,e,r){var n=r(1950);t.exports=function(t){return n[t]}},3110:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl,r=n(e),o=i(e,[{buffer:r,type:e.FLOAT,size:3,offset:0,stride:40},{buffer:r,type:e.FLOAT,size:4,offset:12,stride:40},{buffer:r,type:e.FLOAT,size:3,offset:28,stride:40}]),l=a(e);l.attributes.position.location=0,l.attributes.color.location=1,l.attributes.offset.location=2;var u=new s(e,r,o,l);return u.update(t),u};var n=r(5827),i=r(2944),a=r(7667),o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(t,e,r,n){this.gl=t,this.shader=n,this.buffer=e,this.vao=r,this.pixelRatio=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lineWidth=[1,1,1],this.capSize=[10,10,10],this.lineCount=[0,0,0],this.lineOffset=[0,0,0],this.opacity=1,this.hasAlpha=!1}var l=s.prototype;function u(t,e){for(var r=0;r<3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}l.isOpaque=function(){return!this.hasAlpha},l.isTransparent=function(){return this.hasAlpha},l.drawTransparent=l.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||o,i=r.projection=t.projection||o;r.model=t.model||o,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var a=n[12],s=n[13],l=n[14],u=n[15],c=(t._ortho?2:1)*this.pixelRatio*(i[3]*a+i[7]*s+i[11]*l+i[15]*u)/e.drawingBufferHeight;this.vao.bind();for(var f=0;f<3;++f)e.lineWidth(this.lineWidth[f]*this.pixelRatio),r.capSize=this.capSize[f]*c,this.lineCount[f]&&e.drawArrays(e.LINES,this.lineOffset[f],this.lineCount[f]);this.vao.unbind()};var c=function(){for(var t=new Array(3),e=0;e<3;++e){for(var r=[],n=1;n<=2;++n)for(var i=-1;i<=1;i+=2){var a=[0,0,0];a[(n+e)%3]=i,r.push(a)}t[e]=r}return t}();function f(t,e,r,n){for(var i=c[n],a=0;a<i.length;++a){var o=i[a];t.push(e[0],e[1],e[2],r[0],r[1],r[2],r[3],o[0],o[1],o[2])}return i.length}l.update=function(t){"lineWidth"in(t=t||{})&&(this.lineWidth=t.lineWidth,Array.isArray(this.lineWidth)||(this.lineWidth=[this.lineWidth,this.lineWidth,this.lineWidth])),"capSize"in t&&(this.capSize=t.capSize,Array.isArray(this.capSize)||(this.capSize=[this.capSize,this.capSize,this.capSize])),this.hasAlpha=!1,"opacity"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var e=t.color||[[0,0,0],[0,0,0],[0,0,0]],r=t.position,n=t.error;if(Array.isArray(e[0])||(e=[e,e,e]),r&&n){var i=[],a=r.length,o=0;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.lineCount=[0,0,0];for(var s=0;s<3;++s){this.lineOffset[s]=o;t:for(var l=0;l<a;++l){for(var c=r[l],h=0;h<3;++h)if(isNaN(c[h])||!isFinite(c[h]))continue t;var p,d=n[l],v=e[s];Array.isArray(v[0])&&(v=e[l]),3===v.length?v=[v[0],v[1],v[2],1]:4===v.length&&(v=[v[0],v[1],v[2],v[3]],!this.hasAlpha&&v[3]<1&&(this.hasAlpha=!0)),isNaN(d[0][s])||isNaN(d[1][s])||(d[0][s]<0&&((p=c.slice())[s]+=d[0][s],i.push(c[0],c[1],c[2],v[0],v[1],v[2],v[3],0,0,0,p[0],p[1],p[2],v[0],v[1],v[2],v[3],0,0,0),u(this.bounds,p),o+=2+f(i,p,v,s)),d[1][s]>0&&((p=c.slice())[s]+=d[1][s],i.push(c[0],c[1],c[2],v[0],v[1],v[2],v[3],0,0,0,p[0],p[1],p[2],v[0],v[1],v[2],v[3],0,0,0),u(this.bounds,p),o+=2+f(i,p,v,s)))}this.lineCount[s]=o-this.lineOffset[s]}this.buffer.update(i)}},l.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()}},7667:function(t,e,r){"use strict";var n=r(6832),i=r(5158),a=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, offset;\nattribute vec4 color;\nuniform mat4 model, view, projection;\nuniform float capSize;\nvarying vec4 fragColor;\nvarying vec3 fragPosition;\n\nvoid main() {\n  vec4 worldPosition  = model * vec4(position, 1.0);\n  worldPosition       = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\n  gl_Position         = projection * view * worldPosition;\n  fragColor           = color;\n  fragPosition        = position;\n}"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float opacity;\nvarying vec3 fragPosition;\nvarying vec4 fragColor;\n\nvoid main() {\n  if (\n    outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\n    fragColor.a * opacity == 0.\n  ) discard;\n\n  gl_FragColor = opacity * fragColor;\n}"]);t.exports=function(t){return i(t,a,o,null,[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"offset",type:"vec3"}])}},4234:function(t,e,r){"use strict";var n=r(8931);t.exports=function(t,e,r,n){i||(i=t.FRAMEBUFFER_UNSUPPORTED,a=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var u=t.getExtension("WEBGL_draw_buffers");if(!l&&u&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var i=new Array(r),a=0;a<n;++a)i[a]=t.COLOR_ATTACHMENT0+a;for(a=n;a<r;++a)i[a]=t.NONE;l[n]=i}}(t,u),Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]),"number"!=typeof e)throw new Error("gl-fbo: Missing shape parameter");var c=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>c||r<0||r>c)throw new Error("gl-fbo: Parameters are too large for FBO");var f=1;if("color"in(n=n||{})){if((f=Math.max(0|n.color,0))<0)throw new Error("gl-fbo: Must specify a nonnegative number of colors");if(f>1){if(!u)throw new Error("gl-fbo: Multiple draw buffer extension not supported");if(f>t.getParameter(u.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error("gl-fbo: Context does not support "+f+" draw buffers")}}var h=t.UNSIGNED_BYTE,p=t.getExtension("OES_texture_float");if(n.float&&f>0){if(!p)throw new Error("gl-fbo: Context does not support floating point textures");h=t.FLOAT}else n.preferFloat&&f>0&&p&&(h=t.FLOAT);var v=!0;"depth"in n&&(v=!!n.depth);var g=!1;return"stencil"in n&&(g=!!n.stencil),new d(t,e,r,h,f,v,g,u)};var i,a,o,s,l=null;function u(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function c(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function f(t){switch(t){case i:throw new Error("gl-fbo: Framebuffer unsupported");case a:throw new Error("gl-fbo: Framebuffer incomplete attachment");case o:throw new Error("gl-fbo: Framebuffer incomplete dimensions");case s:throw new Error("gl-fbo: Framebuffer incomplete missing attachment");default:throw new Error("gl-fbo: Framebuffer failed for unspecified reason")}}function h(t,e,r,i,a,o){if(!i)return null;var s=n(t,e,r,a,i);return s.magFilter=t.NEAREST,s.minFilter=t.NEAREST,s.mipSamples=1,s.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,o,t.TEXTURE_2D,s.handle,0),s}function p(t,e,r,n,i){var a=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function d(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var d=0;d<i;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var v=this,g=[0|e,0|r];Object.defineProperties(g,{0:{get:function(){return v._shape[0]},set:function(t){return v.width=t}},1:{get:function(){return v._shape[1]},set:function(t){return v.height=t}}}),this._shapeVector=g,function(t){var e=u(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),i=t._shape[0],a=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,v=t._useDepth,g=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var y=0;y<o;++y)t.color[y]=h(r,i,a,g,r.RGBA,r.COLOR_ATTACHMENT0+y);0===o?(t._color_rb=p(r,i,a,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var m=r.getExtension("WEBGL_depth_texture");m?d?t.depth=h(r,i,a,m.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):v&&(t.depth=h(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):v&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):v?t._depth_rb=p(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){for(t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null),y=0;y<t.color.length;++y)t.color[y].dispose(),t.color[y]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),c(r,e),f(x)}c(r,e)}(this)}var v=d.prototype;function g(t,e,r){if(t._destroyed)throw new Error("gl-fbo: Can't resize destroyed FBO");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,i=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>i||r<0||r>i)throw new Error("gl-fbo: Can't resize FBO, invalid dimensions");t._shape[0]=e,t._shape[1]=r;for(var a=u(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),c(n,a),f(s)),c(n,a)}}Object.defineProperties(v,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error("gl-fbo: Shape vector must be length 2");var e=0|t[0],r=0|t[1];return g(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return g(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,g(this,this._shape[0],t),t},enumerable:!1}}),v.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},v.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},3530:function(t,e,r){var n=r(8974).sprintf,i=r(6603),a=r(9365),o=r(8008);t.exports=function(t,e,r){"use strict";var s=a(e)||"of unknown name (see npm glsl-shader-name)",l="unknown type";void 0!==r&&(l=r===i.FRAGMENT_SHADER?"fragment":"vertex");for(var u=n("Error compiling %s shader %s:\n",l,s),c=n("%s%s",u,t),f=t.split("\n"),h={},p=0;p<f.length;p++){var d=f[p];if(""!==d&&"\0"!==d){var v=parseInt(d.split(":")[2]);if(isNaN(v))throw new Error(n("Could not parse error: %s",d));h[v]=d}}var g=o(e).split("\n");for(p=0;p<g.length;p++)if((h[p+3]||h[p+2]||h[p+1])&&(u+=g[p]+"\n",h[p+1])){var y=h[p+1];y=y.substr(y.split(":",3).join(":").length+1).trim(),u+=n("^^^ %s\n\n",y)}return{long:u.trim(),short:c.trim()}}},6386:function(t,e,r){"use strict";t.exports=function(t,e){var r=t.gl,n=new u(t,o(r,l.vertex,l.fragment),o(r,l.pickVertex,l.pickFragment),s(r),s(r),s(r),s(r));return n.update(e),t.addObject(n),n};var n=r(5070),i=r(9560),a=r(5306),o=r(5158),s=r(5827),l=r(1292);function u(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var c,f=u.prototype,h=[0,0,1,0,0,1,1,0,1,1,0,1];f.draw=(c=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var i=t.gl,a=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=a[2]-a[0],u=a[3]-a[1];c[0]=2*o/l,c[4]=2*s/u,c[6]=2*(r[0]-a[0])/l-1,c[7]=2*(r[1]-a[1])/u-1,e.bind();var f=e.uniforms;f.viewTransform=c,f.shape=this.shape;var h=e.attributes;this.positionBuffer.bind(),h.position.pointer(),this.weightBuffer.bind(),h.weight.pointer(i.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),h.color.pointer(i.UNSIGNED_BYTE,!0),i.drawArrays(i.TRIANGLES,0,n)}}),f.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,u=a[2]-a[0],c=a[3]-a[1],f=l[2]-l[0],h=l[3]-l[1];t[0]=2*u/f,t[4]=2*c/h,t[6]=2*(a[0]-l[0])/f-1,t[7]=2*(a[1]-l[1])/h-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var v=i.attributes;return this.positionBuffer.bind(),v.position.pointer(),this.weightBuffer.bind(),v.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),v.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r<n||r>=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},f.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var u,c,f,p,d=t.colorLevels||[0],v=t.colorValues||[0,0,0,1],g=d.length,y=this.bounds;l?(u=y[0]=r[0],c=y[1]=o[0],f=y[2]=r[r.length-1],p=y[3]=o[o.length-1]):(u=y[0]=r[0]+(r[1]-r[0])/2,c=y[1]=o[0]+(o[1]-o[0])/2,f=y[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=y[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var m=1/(f-u),x=1/(p-c),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(h.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),A=a.mallocFloat32(2*w),k=a.mallocUint8(2*w),M=a.mallocUint32(w),S=0,E=l?b-1:b,L=l?_-1:_,C=0;C<L;++C){var P,O;l?(P=x*(o[C]-c),O=x*(o[C+1]-c)):(P=C<_-1?x*(o[C]-(o[C+1]-o[C])/2-c):x*(o[C]-(o[C]-o[C-1])/2-c),O=C<_-1?x*(o[C]+(o[C+1]-o[C])/2-c):x*(o[C]+(o[C]-o[C-1])/2-c));for(var I=0;I<E;++I){var D,z;l?(D=m*(r[I]-u),z=m*(r[I+1]-u)):(D=I<b-1?m*(r[I]-(r[I+1]-r[I])/2-u):m*(r[I]-(r[I]-r[I-1])/2-u),z=I<b-1?m*(r[I]+(r[I+1]-r[I])/2-u):m*(r[I]+(r[I]-r[I-1])/2-u));for(var R=0;R<h.length;R+=2){var F,B,N,j,U=h[R],V=h[R+1],H=s[l?(C+V)*b+(I+U):C*b+I],q=n.le(d,H);if(q<0)F=v[0],B=v[1],N=v[2],j=v[3];else if(q===g-1)F=v[4*g-4],B=v[4*g-3],N=v[4*g-2],j=v[4*g-1];else{var G=(H-d[q])/(d[q+1]-d[q]),Y=1-G,W=4*q,Z=4*(q+1);F=Y*v[W]+G*v[Z],B=Y*v[W+1]+G*v[Z+1],N=Y*v[W+2]+G*v[Z+2],j=Y*v[W+3]+G*v[Z+3]}T[4*S]=255*F,T[4*S+1]=255*B,T[4*S+2]=255*N,T[4*S+3]=255*j,A[2*S]=.5*D+.5*z,A[2*S+1]=.5*P+.5*O,k[2*S]=U,k[2*S+1]=V,M[S]=C*b+I,S+=1}}}this.positionBuffer.update(A),this.weightBuffer.update(k),this.colorBuffer.update(T),this.idBuffer.update(M),a.free(A),a.free(T),a.free(k),a.free(M)},f.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},1292:function(t,e,r){"use strict";var n=r(6832);t.exports={fragment:n(["precision lowp float;\n#define GLSLIFY 1\nvarying vec4 fragColor;\nvoid main() {\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\n}\n"]),vertex:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec4 color;\nattribute vec2 weight;\n\nuniform vec2 shape;\nuniform mat3 viewTransform;\n\nvarying vec4 fragColor;\n\nvoid main() {\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\n  fragColor = color;\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\n}\n"]),pickFragment:n(["precision mediump float;\n#define GLSLIFY 1\n\nvarying vec4 fragId;\nvarying vec2 vWeight;\n\nuniform vec2 shape;\nuniform vec4 pickOffset;\n\nvoid main() {\n  vec2 d = step(.5, vWeight);\n  vec4 id = fragId + pickOffset;\n  id.x += d.x + d.y*shape.x;\n\n  id.y += floor(id.x / 256.0);\n  id.x -= floor(id.x / 256.0) * 256.0;\n\n  id.z += floor(id.y / 256.0);\n  id.y -= floor(id.y / 256.0) * 256.0;\n\n  id.w += floor(id.z / 256.0);\n  id.z -= floor(id.z / 256.0) * 256.0;\n\n  gl_FragColor = id/255.;\n}\n"]),pickVertex:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec4 pickId;\nattribute vec2 weight;\n\nuniform vec2 shape;\nuniform mat3 viewTransform;\n\nvarying vec4 fragId;\nvarying vec2 vWeight;\n\nvoid main() {\n  vWeight = weight;\n\n  fragId = pickId;\n\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\n}\n"])}},248:function(t,e,r){var n=r(6832),i=r(5158),a=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, nextPosition;\nattribute float arcLength, lineWidth;\nattribute vec4 color;\n\nuniform vec2 screenShape;\nuniform float pixelRatio;\nuniform mat4 model, view, projection;\n\nvarying vec4 fragColor;\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\n\nvec4 project(vec3 p) {\n  return projection * view * model * vec4(p, 1.0);\n}\n\nvoid main() {\n  vec4 startPoint = project(position);\n  vec4 endPoint   = project(nextPosition);\n\n  vec2 A = startPoint.xy / startPoint.w;\n  vec2 B =   endPoint.xy /   endPoint.w;\n\n  float clipAngle = atan(\n    (B.y - A.y) * screenShape.y,\n    (B.x - A.x) * screenShape.x\n  );\n\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\n    sin(clipAngle),\n    -cos(clipAngle)\n  ) / screenShape;\n\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\n\n  worldPosition = position;\n  pixelArcLength = arcLength;\n  fragColor = color;\n}\n"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3      clipBounds[2];\nuniform sampler2D dashTexture;\nuniform float     dashScale;\nuniform float     opacity;\n\nvarying vec3    worldPosition;\nvarying float   pixelArcLength;\nvarying vec4    fragColor;\n\nvoid main() {\n  if (\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\n    fragColor.a * opacity == 0.\n  ) discard;\n\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\n  if(dashWeight < 0.5) {\n    discard;\n  }\n  gl_FragColor = fragColor * opacity;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\n#define FLOAT_MAX  1.70141184e38\n#define FLOAT_MIN  1.17549435e-38\n\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\nvec4 packFloat(float v) {\n  float av = abs(v);\n\n  //Handle special cases\n  if(av < FLOAT_MIN) {\n    return vec4(0.0, 0.0, 0.0, 0.0);\n  } else if(v > FLOAT_MAX) {\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\n  } else if(v < -FLOAT_MAX) {\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\n  }\n\n  vec4 c = vec4(0,0,0,0);\n\n  //Compute exponent and mantissa\n  float e = floor(log2(av));\n  float m = av * pow(2.0, -e) - 1.0;\n\n  //Unpack mantissa\n  c[1] = floor(128.0 * m);\n  m -= c[1] / 128.0;\n  c[2] = floor(32768.0 * m);\n  m -= c[2] / 32768.0;\n  c[3] = floor(8388608.0 * m);\n\n  //Unpack exponent\n  float ebias = e + 127.0;\n  c[0] = floor(ebias / 2.0);\n  ebias -= c[0] * 2.0;\n  c[1] += floor(ebias) * 128.0;\n\n  //Unpack sign bit\n  c[0] += 128.0 * step(0.0, -v);\n\n  //Scale back to range\n  return c / 255.0;\n}\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform float pickId;\nuniform vec3 clipBounds[2];\n\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\nvarying vec4 fragColor;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\n\n  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\n}"]),l=[{name:"position",type:"vec3"},{name:"nextPosition",type:"vec3"},{name:"arcLength",type:"float"},{name:"lineWidth",type:"float"},{name:"color",type:"vec4"}];e.createShader=function(t){return i(t,a,o,null,l)},e.createPickShader=function(t){return i(t,a,s,null,l)}},6086:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=f(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=h(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),c=u(new Array(1024),[256,1,4]),p=0;p<1024;++p)c.data[p]=255;var d=a(e,c);d.wrap=e.REPEAT;var v=new y(e,r,o,s,l,d);return v.update(t),v};var n=r(5827),i=r(2944),a=r(8931),o=new Uint8Array(4),s=new Float32Array(o.buffer),l=r(5070),u=r(5050),c=r(248),f=c.createShader,h=c.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function v(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function g(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function y(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var m=y.prototype;m.isTransparent=function(){return this.hasAlpha},m.isOpaque=function(){return!this.hasAlpha},m.pickSlots=1,m.setPickBase=function(t){this.pickId=t},m.drawTransparent=m.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,clipBounds:v(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,pickId:this.pickId,clipBounds:v(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.update=function(t){var e,r;this.dirty=!0;var n=!!t.connectGaps;"dashScale"in t&&(this.dashScale=t.dashScale),this.hasAlpha=!1,"opacity"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var i=[],a=[],o=[],s=0,c=0,f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],h=t.position||t.positions;if(h){var p=t.color||t.colors||[0,0,0,1],v=t.lineWidth||1,g=!1;t:for(e=1;e<h.length;++e){var y,m,x,b=h[e-1],_=h[e];for(a.push(s),o.push(b.slice()),r=0;r<3;++r){if(isNaN(b[r])||isNaN(_[r])||!isFinite(b[r])||!isFinite(_[r])){if(!n&&i.length>0){for(var w=0;w<24;++w)i.push(i[i.length-12]);c+=2,g=!0}continue t}f[0][r]=Math.min(f[0][r],b[r],_[r]),f[1][r]=Math.max(f[1][r],b[r],_[r])}Array.isArray(p[0])?(y=p.length>e-1?p[e-1]:p.length>0?p[p.length-1]:[0,0,0,1],m=p.length>e?p[e]:p.length>0?p[p.length-1]:[0,0,0,1]):y=m=p,3===y.length&&(y=[y[0],y[1],y[2],1]),3===m.length&&(m=[m[0],m[1],m[2],1]),!this.hasAlpha&&y[3]<1&&(this.hasAlpha=!0),x=Array.isArray(v)?v.length>e-1?v[e-1]:v.length>0?v[v.length-1]:[0,0,0,1]:v;var T=s;if(s+=d(b,_),g){for(r=0;r<2;++r)i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,y[0],y[1],y[2],y[3]);c+=2,g=!1}i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,y[0],y[1],y[2],y[3],b[0],b[1],b[2],_[0],_[1],_[2],T,-x,y[0],y[1],y[2],y[3],_[0],_[1],_[2],b[0],b[1],b[2],s,-x,m[0],m[1],m[2],m[3],_[0],_[1],_[2],b[0],b[1],b[2],s,x,m[0],m[1],m[2],m[3]),c+=4}}if(this.buffer.update(i),a.push(s),o.push(h[h.length-1].slice()),this.bounds=f,this.vertexCount=c,this.points=o,this.arcLength=a,"dashes"in t){var A=t.dashes.slice();for(A.unshift(0),e=1;e<A.length;++e)A[e]=A[e-1]+A[e];var k=u(new Array(1024),[256,1,4]);for(e=0;e<256;++e){for(r=0;r<4;++r)k.set(e,0,r,0);1&l.le(A,A[A.length-1]*e/255)?k.set(e,0,0,0):k.set(e,0,0,255)}this.texture.setPixels(k)}},m.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()},m.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=function(t,e,r){return o[0]=0,o[1]=r,o[2]=e,o[3]=t,s[0]}(t.value[0],t.value[1],t.value[2]),r=l.le(this.arcLength,e);if(r<0)return null;if(r===this.arcLength.length-1)return new g(this.arcLength[this.arcLength.length-1],this.points[this.points.length-1].slice(),r);for(var n=this.points[r],i=this.points[Math.min(r+1,this.points.length-1)],a=(e-this.arcLength[r])/(this.arcLength[r+1]-this.arcLength[r]),u=1-a,c=[0,0,0],f=0;f<3;++f)c[f]=u*n[f]+a*i[f];var h=Math.min(a<.5?r:r+1,this.points.length-1);return new g(e,c,h,this.points[h])}},7332:function(t){t.exports=function(t){var e=new Float32Array(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e}},9823:function(t){t.exports=function(){var t=new Float32Array(16);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},7787:function(t){t.exports=function(t){var e=t[0],r=t[1],n=t[2],i=t[3],a=t[4],o=t[5],s=t[6],l=t[7],u=t[8],c=t[9],f=t[10],h=t[11],p=t[12],d=t[13],v=t[14],g=t[15];return(e*o-r*a)*(f*g-h*v)-(e*s-n*a)*(c*g-h*d)+(e*l-i*a)*(c*v-f*d)+(r*s-n*o)*(u*g-h*p)-(r*l-i*o)*(u*v-f*p)+(n*l-i*s)*(u*d-c*p)}},5950:function(t){t.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=r+r,s=n+n,l=i+i,u=r*o,c=n*o,f=n*s,h=i*o,p=i*s,d=i*l,v=a*o,g=a*s,y=a*l;return t[0]=1-f-d,t[1]=c+y,t[2]=h-g,t[3]=0,t[4]=c-y,t[5]=1-u-d,t[6]=p+v,t[7]=0,t[8]=h+g,t[9]=p-v,t[10]=1-u-f,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},7280:function(t){t.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=n+n,l=i+i,u=a+a,c=n*s,f=n*l,h=n*u,p=i*l,d=i*u,v=a*u,g=o*s,y=o*l,m=o*u;return t[0]=1-(p+v),t[1]=f+m,t[2]=h-y,t[3]=0,t[4]=f-m,t[5]=1-(c+v),t[6]=d+g,t[7]=0,t[8]=h+y,t[9]=d-g,t[10]=1-(c+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},9947:function(t){t.exports=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},7437:function(t){t.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],u=e[7],c=e[8],f=e[9],h=e[10],p=e[11],d=e[12],v=e[13],g=e[14],y=e[15],m=r*s-n*o,x=r*l-i*o,b=r*u-a*o,_=n*l-i*s,w=n*u-a*s,T=i*u-a*l,A=c*v-f*d,k=c*g-h*d,M=c*y-p*d,S=f*g-h*v,E=f*y-p*v,L=h*y-p*g,C=m*L-x*E+b*S+_*M-w*k+T*A;return C?(C=1/C,t[0]=(s*L-l*E+u*S)*C,t[1]=(i*E-n*L-a*S)*C,t[2]=(v*T-g*w+y*_)*C,t[3]=(h*w-f*T-p*_)*C,t[4]=(l*M-o*L-u*k)*C,t[5]=(r*L-i*M+a*k)*C,t[6]=(g*b-d*T-y*x)*C,t[7]=(c*T-h*b+p*x)*C,t[8]=(o*E-s*M+u*A)*C,t[9]=(n*M-r*E-a*A)*C,t[10]=(d*w-v*b+y*m)*C,t[11]=(f*b-c*w-p*m)*C,t[12]=(s*k-o*S-l*A)*C,t[13]=(r*S-n*k+i*A)*C,t[14]=(v*x-d*_-g*m)*C,t[15]=(c*_-f*x+h*m)*C,t):null}},3012:function(t,e,r){var n=r(9947);t.exports=function(t,e,r,i){var a,o,s,l,u,c,f,h,p,d,v=e[0],g=e[1],y=e[2],m=i[0],x=i[1],b=i[2],_=r[0],w=r[1],T=r[2];return Math.abs(v-_)<1e-6&&Math.abs(g-w)<1e-6&&Math.abs(y-T)<1e-6?n(t):(f=v-_,h=g-w,p=y-T,a=x*(p*=d=1/Math.sqrt(f*f+h*h+p*p))-b*(h*=d),o=b*(f*=d)-m*p,s=m*h-x*f,(d=Math.sqrt(a*a+o*o+s*s))?(a*=d=1/d,o*=d,s*=d):(a=0,o=0,s=0),l=h*s-p*o,u=p*a-f*s,c=f*o-h*a,(d=Math.sqrt(l*l+u*u+c*c))?(l*=d=1/d,u*=d,c*=d):(l=0,u=0,c=0),t[0]=a,t[1]=l,t[2]=f,t[3]=0,t[4]=o,t[5]=u,t[6]=h,t[7]=0,t[8]=s,t[9]=c,t[10]=p,t[11]=0,t[12]=-(a*v+o*g+s*y),t[13]=-(l*v+u*g+c*y),t[14]=-(f*v+h*g+p*y),t[15]=1,t)}},104:function(t){t.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],f=e[8],h=e[9],p=e[10],d=e[11],v=e[12],g=e[13],y=e[14],m=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*f+w*v,t[1]=x*i+b*l+_*h+w*g,t[2]=x*a+b*u+_*p+w*y,t[3]=x*o+b*c+_*d+w*m,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*f+w*v,t[5]=x*i+b*l+_*h+w*g,t[6]=x*a+b*u+_*p+w*y,t[7]=x*o+b*c+_*d+w*m,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*f+w*v,t[9]=x*i+b*l+_*h+w*g,t[10]=x*a+b*u+_*p+w*y,t[11]=x*o+b*c+_*d+w*m,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*f+w*v,t[13]=x*i+b*l+_*h+w*g,t[14]=x*a+b*u+_*p+w*y,t[15]=x*o+b*c+_*d+w*m,t}},5268:function(t){t.exports=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),u=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*u,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*u,t[15]=1,t}},1120:function(t){t.exports=function(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}},4422:function(t){t.exports=function(t,e,r,n){var 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r=0,a=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),a+=Math.pow(e[o]-t[1][o],2);return(r=Math.sqrt(r))+(a=Math.sqrt(a))<1e-6?[1,0]:[a/(r+a),r/(a+r)]}if(3===t.length){var s=[0,0];return i(t[0],t[1],t[2],e,s),n(t,s)}return[]}(c,e),y=0;for(f=0;f<3;++f){if(g[f]<-.001||g[f]>1.0001)return null;y+=g[f]}return Math.abs(y-1)>.001?null:[h,s(t,g),g]}},2056:function(t,e,r){var n=r(6832),i=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, normal;\nattribute vec4 color;\nattribute vec2 uv;\n\nuniform mat4 model\n           , view\n           , projection\n           , inverseModel;\nuniform vec3 eyePosition\n           , lightPosition;\n\nvarying vec3 f_normal\n           , f_lightDirection\n           , f_eyeDirection\n           , f_data;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvec4 project(vec3 p) {\n  return projection * view * model * vec4(p, 1.0);\n}\n\nvoid main() {\n  gl_Position      = project(position);\n\n  //Lighting geometry parameters\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\n  cameraCoordinate.xyz /= cameraCoordinate.w;\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\n  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n  f_color          = color;\n  f_data           = position;\n  f_uv             = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n  float NdotH = max(x, 0.0001);\n  float cos2Alpha = NdotH * NdotH;\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n  float roughness2 = roughness * roughness;\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n  return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n  vec3 lightDirection,\n  vec3 viewDirection,\n  vec3 surfaceNormal,\n  float roughness,\n  float fresnel) {\n\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n  //Half angle vector\n  vec3 H = normalize(lightDirection + viewDirection);\n\n  //Geometric term\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\n  float VdotH = max(dot(viewDirection, H), 0.000001);\n  float LdotH = max(dot(lightDirection, H), 0.000001);\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\n  float G = min(1.0, min(G1, G2));\n  \n  //Distribution term\n  float D = beckmannDistribution(NdotH, roughness);\n\n  //Fresnel term\n  float F = pow(1.0 - VdotN, fresnel);\n\n  //Multiply terms and done\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness\n            , fresnel\n            , kambient\n            , kdiffuse\n            , kspecular;\nuniform sampler2D texture;\n\nvarying vec3 f_normal\n           , f_lightDirection\n           , f_eyeDirection\n           , f_data;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (f_color.a == 0.0 ||\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\n  ) discard;\n\n  vec3 N = normalize(f_normal);\n  vec3 L = normalize(f_lightDirection);\n  vec3 V = normalize(f_eyeDirection);\n\n  if(gl_FrontFacing) {\n    N = -N;\n  }\n\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\n\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n\n  gl_FragColor = litColor * f_color.a;\n}\n"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 uv;\n\nuniform mat4 model, view, projection;\n\nvarying vec4 f_color;\nvarying vec3 f_data;\nvarying vec2 f_uv;\n\nvoid main() {\n  gl_Position = projection * view * model * vec4(position, 1.0);\n  f_color = color;\n  f_data  = position;\n  f_uv    = uv;\n}"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform sampler2D texture;\nuniform float opacity;\n\nvarying vec4 f_color;\nvarying vec3 f_data;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\n\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n}"]),l=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 uv;\nattribute float pointSize;\n\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\n  } else {\n    gl_Position = projection * view * model * vec4(position, 1.0);\n  }\n  gl_PointSize = pointSize;\n  f_color = color;\n  f_uv = uv;\n}"]),u=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform sampler2D texture;\nuniform float opacity;\n\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\n  if(dot(pointR, pointR) > 0.25) {\n    discard;\n  }\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n}"]),c=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  gl_Position = projection * view * model * vec4(position, 1.0);\n  f_id        = id;\n  f_position  = position;\n}"]),f=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3  clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n  gl_FragColor = vec4(pickId, f_id.xyz);\n}"]),h=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3  position;\nattribute float pointSize;\nattribute vec4  id;\n\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\n  } else {\n    gl_Position  = projection * view * model * vec4(position, 1.0);\n    gl_PointSize = pointSize;\n  }\n  f_id         = id;\n  f_position   = position;\n}"]),p=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\n\nuniform mat4 model, view, projection;\n\nvoid main() {\n  gl_Position = projection * view * model * vec4(position, 1.0);\n}"]),d=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec3 contourColor;\n\nvoid main() {\n  gl_FragColor = vec4(contourColor, 1.0);\n}\n"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec3"},{name:"normal",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"}]},e.wireShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"}]},e.pointShader={vertex:l,fragment:u,attributes:[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"pointSize",type:"float"}]},e.pickShader={vertex:c,fragment:f,attributes:[{name:"position",type:"vec3"},{name:"id",type:"vec4"}]},e.pointPickShader={vertex:h,fragment:f,attributes:[{name:"position",type:"vec3"},{name:"pointSize",type:"float"},{name:"id",type:"vec4"}]},e.contourShader={vertex:p,fragment:d,attributes:[{name:"position",type:"vec3"}]}},8116:function(t,e,r){"use strict";var n=r(5158),i=r(5827),a=r(2944),o=r(8931),s=r(115),l=r(104),u=r(7437),c=r(5050),f=r(9156),h=r(7212),p=r(5306),d=r(2056),v=r(4340),g=d.meshShader,y=d.wireShader,m=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,T,A,k,M,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=c,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=u,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=g,this.edgeUVs=y,this.edgeIds=v,this.edgeVAO=m,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=A,this.pointIds=b,this.pointVAO=k,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var A=T.prototype;function k(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function M(t){var e=n(t,m.vertex,m.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function S(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function E(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}A.isOpaque=function(){return!this.hasAlpha},A.isTransparent=function(){return this.hasAlpha},A.pickSlots=1,A.setPickBase=function(t){this.pickId=t},A.highlight=function(t){if(t&&this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var u=r[l],c=0;c<2;++c){var f=u[0];2===u.length&&(f=u[c]);for(var d=n[f][0],v=n[f][1],g=i[f],y=1-g,m=this.positions[d],x=this.positions[v],b=0;b<3;++b)o[s++]=g*m[b]+y*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},A.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,"contourEnable"in t&&(this.contourEnable=t.contourEnable),"contourColor"in t&&(this.contourColor=t.contourColor),"lineWidth"in t&&(this.lineWidth=t.lineWidth),"lightPosition"in t&&(this.lightPosition=t.lightPosition),this.hasAlpha=!1,"opacity"in t&&(this.opacity=t.opacity,this.opacity<1&&(this.hasAlpha=!0)),"opacityscale"in t&&(this.opacityscale=t.opacityscale,this.hasAlpha=!0),"ambient"in t&&(this.ambientLight=t.ambient),"diffuse"in t&&(this.diffuseLight=t.diffuse),"specular"in t&&(this.specularLight=t.specular),"roughness"in t&&(this.roughness=t.roughness),"fresnel"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t,e){for(var r=f({colormap:t,nshades:256,format:"rgba"}),n=new Uint8Array(1024),i=0;i<256;++i){for(var a=r[i],o=0;o<3;++o)n[4*i+o]=a[o];n[4*i+3]=e?255*k(i/255,e):255*a[3]}return c(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var i=[],a=[],l=[],u=[],h=[],p=[],d=[],v=[],g=[],y=[],m=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,T=t.cellNormals,A=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,M=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=s.faceNormals(r,n,M)),T||w||(w=s.vertexNormals(r,n,A));var S=t.vertexColors,E=t.cellColors,L=t.meshColor||[1,1,1,1],C=t.vertexUVs,P=t.vertexIntensity,O=t.cellUVs,I=t.cellIntensity,D=1/0,z=-1/0;if(!C&&!O)if(P)if(t.vertexIntensityBounds)D=+t.vertexIntensityBounds[0],z=+t.vertexIntensityBounds[1];else for(var R=0;R<P.length;++R){var F=P[R];D=Math.min(D,F),z=Math.max(z,F)}else if(I)if(t.cellIntensityBounds)D=+t.cellIntensityBounds[0],z=+t.cellIntensityBounds[1];else for(R=0;R<I.length;++R)F=I[R],D=Math.min(D,F),z=Math.max(z,F);else for(R=0;R<n.length;++R)F=n[R][2],D=Math.min(D,F),z=Math.max(z,F);this.intensity=P||I||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.pickVertex=!(I||E);var B=t.pointSizes,N=t.pointSize||1;for(this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],R=0;R<n.length;++R)for(var j=n[R],U=0;U<3;++U)!isNaN(j[U])&&isFinite(j[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],j[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],j[U]));var V=0,H=0,q=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[W=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;y.push(j[0],j[1],j[2]),Z=S?S[W]:E?E[R]:L,this.opacityscale&&P?a.push(Z[0],Z[1],Z[2],this.opacity*k((P[W]-D)/(z-D),this.opacityscale)):3===Z.length?m.push(Z[0],Z[1],Z[2],this.opacity):(m.push(Z[0],Z[1],Z[2],Z[3]*this.opacity),Z[3]<1&&(this.hasAlpha=!0)),X=C?C[W]:P?[(P[W]-D)/(z-D),0]:O?O[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],x.push(X[0],X[1]),B?b.push(B[W]):b.push(N),_.push(R),q+=1;break;case 2:for(U=0;U<2;++U){j=n[W=G[U]];for(var Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t}for(U=0;U<2;++U)j=n[W=G[U]],p.push(j[0],j[1],j[2]),Z=S?S[W]:E?E[R]:L,this.opacityscale&&P?a.push(Z[0],Z[1],Z[2],this.opacity*k((P[W]-D)/(z-D),this.opacityscale)):3===Z.length?d.push(Z[0],Z[1],Z[2],this.opacity):(d.push(Z[0],Z[1],Z[2],Z[3]*this.opacity),Z[3]<1&&(this.hasAlpha=!0)),X=C?C[W]:P?[(P[W]-D)/(z-D),0]:O?O[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],v.push(X[0],X[1]),g.push(R);H+=1;break;case 3:for(U=0;U<3;++U)for(j=n[W=G[U]],Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t;for(U=0;U<3;++U){var W,Z,X,J;j=n[W=G[2-U]],i.push(j[0],j[1],j[2]),(Z=S?S[W]:E?E[R]:L)?this.opacityscale&&P?a.push(Z[0],Z[1],Z[2],this.opacity*k((P[W]-D)/(z-D),this.opacityscale)):3===Z.length?a.push(Z[0],Z[1],Z[2],this.opacity):(a.push(Z[0],Z[1],Z[2],Z[3]*this.opacity),Z[3]<1&&(this.hasAlpha=!0)):a.push(.5,.5,.5,1),X=C?C[W]:P?[(P[W]-D)/(z-D),0]:O?O[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],u.push(X[0],X[1]),J=w?w[W]:T[R],l.push(J[0],J[1],J[2]),h.push(R)}V+=1}}this.pointCount=q,this.edgeCount=H,this.triangleCount=V,this.pointPositions.update(y),this.pointColors.update(m),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(v),this.edgeIds.update(new Uint32Array(g)),this.trianglePositions.update(i),this.triangleColors.update(a),this.triangleUVs.update(u),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(h))}},A.drawTransparent=A.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,inverseModel:w.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=u(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var c=new Array(16);for(l(c,s.view,s.model),l(c,s.projection,c),u(c,c),o=0;o<3;++o)s.eyePosition[o]=c[12+o]/c[15];var f,h=c[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*c[4*o+3];for(o=0;o<3;++o){for(var p=c[12+o],d=0;d<3;++d)p+=c[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/h}this.triangleCount>0&&((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&this.lineWidth>0&&((f=this.lineShader).bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()),this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((f=this.contourShader).bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},A.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};(s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},A.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;a<r.length;++a)i[a]=n[r[a]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],u=this.positions[r[1]],c=this.positions[r[2]],f=[(l[0]+u[0]+c[0])/3,(l[1]+u[1]+c[1])/3,(l[2]+u[2]+c[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:f}}var h=v(i,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!h)return null;var p=h[2],d=0;for(a=0;a<r.length;++a)d+=p[a]*this.intensity[r[a]];return{position:h[1],index:r[h[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[h[0]]]}},A.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},t.exports=function(t,e){if(1===arguments.length&&(t=(e=t).gl),!(t.getExtension("OES_standard_derivatives")||t.getExtension("MOZ_OES_standard_derivatives")||t.getExtension("WEBKIT_OES_standard_derivatives")))throw new Error("derivatives not supported");var r=function(t){var e=n(t,g.vertex,g.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}(t),s=function(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}(t),l=M(t),u=S(t),f=E(t),h=L(t),p=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=i(t),v=i(t),m=i(t),x=i(t),b=i(t),_=a(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:b,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:v,type:t.FLOAT,size:4},{buffer:m,type:t.FLOAT,size:2},{buffer:x,type:t.FLOAT,size:3}]),w=i(t),A=i(t),k=i(t),C=i(t),P=a(t,[{buffer:w,type:t.FLOAT,size:3},{buffer:C,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:A,type:t.FLOAT,size:4},{buffer:k,type:t.FLOAT,size:2}]),O=i(t),I=i(t),D=i(t),z=i(t),R=i(t),F=a(t,[{buffer:O,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:I,type:t.FLOAT,size:4},{buffer:D,type:t.FLOAT,size:2},{buffer:z,type:t.FLOAT,size:1}]),B=i(t),N=new T(t,p,r,s,l,u,f,h,d,b,v,m,x,_,w,C,A,k,P,O,R,I,D,z,F,B,a(t,[{buffer:B,type:t.FLOAT,size:3}]));return N.update(e),N}},4554:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl;return new o(t,n(e,[0,0,0,1,1,0,1,1]),i(e,a.boxVert,a.lineFrag))};var n=r(5827),i=r(5158),a=r(2709);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,u=o.prototype;u.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},u.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,i){var a=this.plot,o=this.shader,u=a.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=i,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),u.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},3016:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl;return new s(t,n(e),i(e,o.gridVert,o.gridFrag),i(e,o.tickVert,o.gridFrag))};var n=r(5827),i=r(5158),a=r(5070),o=r(2709);function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var u,c,f,h,p,d=s.prototype;d.draw=(u=[0,0],c=[0,0],f=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,i=t.gl,a=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,h=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,v=0;v<2;++v){var g=a[v],y=a[v+2]-g,m=.5*(o[v+2]+o[v]),x=o[v+2]-o[v];c[v]=2*y/x,u[v]=2*(g-m)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=u,r.uniforms.dataScale=c;var b=0;for(v=0;v<2;++v){f[0]=f[1]=0,f[v]=1,r.uniforms.dataAxis=f,r.uniforms.lineWidth=l[v]/(s[v+2]-s[v])*d,r.uniforms.color=h[v];var _=6*n[v].length;p[v]&&_&&i.drawArrays(i.TRIANGLES,b,_),b+=_}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],i=[0,0],o=[0,0];return function(){for(var s=this.plot,u=this.vbo,c=this.tickShader,f=this.ticks,h=s.gl,p=s._tickBounds,d=s.dataBox,v=s.viewBox,g=s.pixelRatio,y=s.screenBox,m=y[2]-y[0],x=y[3]-y[1],b=v[2]-v[0],_=v[3]-v[1],w=0;w<2;++w){var T=p[w],A=p[w+2]-T,k=.5*(d[w+2]+d[w]),M=d[w+2]-d[w];e[w]=2*A/M,t[w]=2*(T-k)/M}e[0]*=b/m,t[0]*=b/m,e[1]*=_/x,t[1]*=_/x,c.bind(),u.bind(),c.attributes.dataCoord.pointer();var S=c.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,L=s.tickMarkWidth,C=s.tickMarkColor,P=6*f[0].length,O=Math.min(a.ge(f[0],(d[0]-p[0])/(p[2]-p[0]),l),f[0].length),I=Math.min(a.gt(f[0],(d[2]-p[0])/(p[2]-p[0]),l),f[0].length),D=0+6*O,z=6*Math.max(0,I-O),R=Math.min(a.ge(f[1],(d[1]-p[1])/(p[3]-p[1]),l),f[1].length),F=Math.min(a.gt(f[1],(d[3]-p[1])/(p[3]-p[1]),l),f[1].length),B=P+6*R,N=6*Math.max(0,F-R);i[0]=2*(v[0]-E[1])/m-1,i[1]=(v[3]+v[1])/x-1,o[0]=E[1]*g/m,o[1]=L[1]*g/x,N&&(S.color=C[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(v[2]+v[0])/m-1,i[1]=2*(v[1]-E[0])/x-1,o[0]=L[0]*g/m,o[1]=E[0]*g/x,z&&(S.color=C[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,D,z)),i[0]=2*(v[2]+E[3])/m-1,i[1]=(v[3]+v[1])/x-1,o[0]=E[3]*g/m,o[1]=L[3]*g/x,N&&(S.color=C[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(v[2]+v[0])/m-1,i[1]=2*(v[3]+E[2])/x-1,o[0]=L[2]*g/m,o[1]=E[2]*g/x,z&&(S.color=C[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,D,z))}}(),d.update=(h=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),i=(this.plot.zeroLineEnable,0),a=[[],[]],o=0;o<2;++o)for(var s=a[o],l=e[o],u=r[o],c=r[o+2],f=0;f<l.length;++f){var d=(l[f].x-u)/(c-u);s.push(d);for(var v=0;v<6;++v)n[i++]=d,n[i++]=h[v],n[i++]=p[v]}this.ticks=a,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},1154:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl;return new o(t,n(e,[-1,-1,-1,1,1,-1,1,1]),i(e,a.lineVert,a.lineFrag))};var n=r(5827),i=r(5158),a=r(2709);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,u=o.prototype;u.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},u.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,i,a){var o=this.plot,u=this.shader,c=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,u.uniforms.start=s,u.uniforms.end=l,u.uniforms.width=i*o.pixelRatio,u.uniforms.color=a,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),u.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},2709:function(t,e,r){"use strict";var n=r(6832),i=n(["precision lowp float;\n#define GLSLIFY 1\nuniform vec4 color;\nvoid main() {\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\n}\n"]);t.exports={lineVert:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 coord;\n\nuniform vec4 screenBox;\nuniform vec2 start, end;\nuniform float width;\n\nvec2 perp(vec2 v) {\n  return vec2(v.y, -v.x);\n}\n\nvec2 screen(vec2 v) {\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\n}\n\nvoid main() {\n  vec2 delta = normalize(perp(start - end));\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\n}\n"]),lineFrag:i,textVert:n(["#define GLSLIFY 1\nattribute vec3 textCoordinate;\n\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\nuniform float angle;\n\nvoid main() {\n  float dataOffset  = textCoordinate.z;\n  vec2 glyphOffset  = textCoordinate.xy;\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\n    glyphMatrix * glyphOffset * textScale + screenOffset;\n  gl_Position = vec4(screenCoordinate, 0, 1);\n}\n"]),textFrag:i,gridVert:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 dataCoord;\n\nuniform vec2 dataAxis, dataShift, dataScale;\nuniform float lineWidth;\n\nvoid main() {\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\n  gl_Position = vec4(pos, 0, 1);\n}\n"]),gridFrag:i,boxVert:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 coord;\n\nuniform vec4 screenBox;\nuniform vec2 lo, hi;\n\nvec2 screen(vec2 v) {\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\n}\n\nvoid main() {\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\n}\n"]),tickVert:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 dataCoord;\n\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\n\nvoid main() {\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\n}\n"])}},5613:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl;return new l(t,n(e),i(e,s.textVert,s.textFrag))};var n=r(5827),i=r(5158),a=r(6946),o=r(5070),s=r(2709);function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var u,c,f,h,p,d,v=l.prototype;v.drawTicks=(u=[0,0],c=[0,0],f=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],i=this.tickOffset[t],a=e.gl,s=e.viewBox,l=e.dataBox,h=e.screenBox,p=e.pixelRatio,d=e.tickEnable,v=e.tickPad,g=e.tickColor,y=e.tickAngle,m=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],T=this.labelCount[t],A=o.lt(n,l[t]),k=o.le(n,l[t+2]);u[0]=u[1]=0,u[t]=1,c[t]=(s[2+t]+s[t])/(h[2+t]-h[t])-1;var M=2/h[2+(1^t)]-h[1^t];c[1^t]=M*s[1^t]-1,d[t]&&(c[1^t]-=M*p*v[t],A<k&&i[k]>i[A]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t],r.uniforms.angle=y[t],a.drawArrays(a.TRIANGLES,i[A],i[k]-i[A]))),m[t]&&T&&(c[1^t]-=M*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),c[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(c[1^t]+=M*p*v[t+2],A<k&&i[k]>i[A]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t+2],r.uniforms.angle=y[t+2],a.drawArrays(a.TRIANGLES,i[A],i[k]-i[A]))),m[t+2]&&T&&(c[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),v.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,u=r.pixelRatio;if(this.titleCount){for(var c=0;c<2;++c)e[c]=2*(o[c]*u-a[c])/(a[2+c]-a[c])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),v.bind=(h=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,u=.5*(n[o+2]+n[o]),c=n[o+2]-n[o],f=a[o],v=a[o+2]-f,g=i[o],y=i[o+2]-g;p[o]=2*l/c*v/y,h[o]=2*(s-u)/c*v/y}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=h,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),v.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,u=t.bounds;for(o=0;o<2;++o){var c=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e<h.length;++e){var p=h[e],d=p.x,v=p.text,g=p.font||"sans-serif";i=p.fontSize||12;for(var y=1/(u[o+2]-u[o]),m=u[o],x=v.split("\n"),b=0;b<x.length;b++)for(n=a(g,x[b]).data,r=0;r<n.length;r+=2)s.push(n[r]*i,-n[r+1]*i-b*i*1.2,(d-m)*y);c.push(Math.floor(s.length/3)),f.push(d)}this.tickOffset[o]=c,this.tickX[o]=f}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=a(t.labelFont[o],t.labels[o],{textAlign:"center"}).data,i=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=a(t.titleFont,t.title).data,i=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},v.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},2117:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl,r=new l(e,n(e,[e.drawingBufferWidth,e.drawingBufferHeight]));return r.grid=i(r),r.text=a(r),r.line=o(r),r.box=s(r),r.update(t),r};var n=r(2611),i=r(3016),a=r(5613),o=r(1154),s=r(4554);function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var u=l.prototype;function c(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function f(t,e){return t.x-e.x}u.setDirty=function(){this.dirty=this.pickDirty=!0},u.setOverlayDirty=function(){this.dirty=!0},u.nextDepthValue=function(){return this._depthCounter++/65536},u.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,i=this.pixelRatio,a=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var u=this.borderColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var c=this.backgroundColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var f=this.zeroLineEnable,h=this.zeroLineColor,p=this.zeroLineWidth;if(f[0]||f[1]){o.bind();for(var d=0;d<2;++d)if(f[d]&&n[d]<=0&&n[d+2]>=0){var v=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(v,e[1],v,e[3],p[d],h[d]):o.drawLine(e[0],v,e[2],v,p[d],h[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var g=this.borderLineEnable,y=this.borderLineWidth,m=this.borderLineColor;for(g[1]&&o.drawLine(r[0],r[1]-.5*y[1]*i,r[0],r[3]+.5*y[3]*i,y[1],m[1]),g[0]&&o.drawLine(r[0]-.5*y[0]*i,r[1],r[2]+.5*y[2]*i,r[1],y[0],m[0]),g[3]&&o.drawLine(r[2],r[1]-.5*y[1]*i,r[2],r[3]+.5*y[3]*i,y[3],m[3]),g[2]&&o.drawLine(r[0]-.5*y[0]*i,r[3],r[2]+.5*y[2]*i,r[3],y[2],m[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},u.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl,this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},u.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,i=this.viewBox,a=0|Math.round((t-i[0]/r)*n),o=0|Math.round((e-i[1]/r)*n),s=this.pickBuffer.query(a,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),u=this.objects,c=0;c<u.length;++c){var f=u[c].pick(a,o,l);if(f)return f}return null}},u.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},u.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},u.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},u.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]),this.screenBox,this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,i=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/i,10,10/i]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=c(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=c(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=c(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!("titleEnable"in t)||!!t.titleEnable,this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=c(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=c(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=c(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var a=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=a[s].slice(0);0!==l.length&&(l.sort(f),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:a}),this.text.update({bounds:o,ticks:a,labels:t.labels||["x","y"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||["sans-serif","sans-serif"],title:t.title||"",titleSize:t.titleSize||18,titleFont:t.titleFont||"sans-serif"}),this.static=!!t.static,this.setDirty()},u.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();for(this.objects.length=0,t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},u.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},u.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},u.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},u.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},4296:function(t,e,r){"use strict";t.exports=function(t,e){t=t||document.body;var r=[.01,1/0];"distanceLimits"in(e=e||{})&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]),"zoomMin"in e&&(r[0]=e.zoomMin),"zoomMax"in e&&(r[1]=e.zoomMax);var u=i({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||"orbit",distanceLimits:r}),c=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],f=0,h=t.clientWidth,p=t.clientHeight,d={keyBindingMode:"rotate",enableWheel:!0,view:u,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:u.modes,_ortho:e._ortho||e.projection&&"orthographic"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,i=e-2*r;u.idle(e-r),u.recalcMatrix(i),u.flush(e-(100+2*r));for(var a=!0,o=u.computedMatrix,s=0;s<16;++s)a=a&&c[s]===o[s],c[s]=o[s];var l=t.clientWidth===h&&t.clientHeight===p;return h=t.clientWidth,p=t.clientHeight,a?!l:(f=Math.exp(u.computedRadius[0]),!0)},lookAt:function(t,e,r){u.lookAt(u.lastT(),t,e,r)},rotate:function(t,e,r){u.rotate(u.lastT(),t,e,r)},pan:function(t,e,r){u.pan(u.lastT(),t,e,r)},translate:function(t,e,r){u.translate(u.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return u.computedMatrix},set:function(t){return u.setMatrix(u.lastT(),t),u.computedMatrix},enumerable:!0},mode:{get:function(){return u.getMode()},set:function(t){var e=u.computedUp.slice(),r=u.computedEye.slice(),i=u.computedCenter.slice();if(u.setMode(t),"turntable"===t){var a=n();u._active.lookAt(a,r,i,e),u._active.lookAt(a+500,r,i,[0,0,1]),u._active.flush(a)}return u.getMode()},enumerable:!0},center:{get:function(){return u.computedCenter},set:function(t){return u.lookAt(u.lastT(),null,t),u.computedCenter},enumerable:!0},eye:{get:function(){return u.computedEye},set:function(t){return u.lookAt(u.lastT(),t),u.computedEye},enumerable:!0},up:{get:function(){return u.computedUp},set:function(t){return u.lookAt(u.lastT(),null,null,t),u.computedUp},enumerable:!0},distance:{get:function(){return f},set:function(t){return u.setDistance(u.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return u.getDistanceLimits(r)},set:function(t){return u.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener("contextmenu",function(t){return t.preventDefault(),!1}),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,i,a){var o=d.keyBindingMode;if(!1!==o){var s="rotate"===o,l="pan"===o,c="zoom"===o,h=!!a.control,p=!!a.alt,v=!!a.shift,g=!!(1&e),y=!!(2&e),m=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(i-d._lastY),w=d.flipX?1:-1,T=d.flipY?1:-1,A=Math.PI*d.rotateSpeed,k=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&g&&!h&&!p&&!v||g&&!h&&!p&&v)&&u.rotate(k,w*A*b,-T*A*_,0),(l&&g&&!h&&!p&&!v||y||g&&h&&!p&&!v)&&u.pan(k,-d.translateSpeed*b*f,d.translateSpeed*_*f,0),c&&g&&!h&&!p&&!v||m||g&&!h&&p&&!v)){var M=-d.zoomSpeed*_/window.innerHeight*(k-u.lastT())*100;u.pan(k,0,0,f*(Math.exp(M)-1))}return d._lastX=r,d._lastY=i,d._lastMods=a,!0}}d.mouseListener=a(t,e),t.addEventListener("touchstart",function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods)},!!l&&{passive:!0}),t.addEventListener("touchmove",function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()},!!l&&{passive:!1}),t.addEventListener("touchend",function(t){e(0,d._lastX,d._lastY,d._lastMods)},!!l&&{passive:!0}),d.wheelListener=o(t,function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,i=d.flipY?1:-1,a=n();if(Math.abs(t)>Math.abs(e))u.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-u.lastT())/20;u.pan(a,0,0,f*(Math.exp(o)-1))}}},!0)},d.enableMouseListeners(),d};var n=r(8161),i=r(1152),a=r(6145),o=r(6475),s=r(2565),l=r(5233)},8245:function(t,e,r){var n=r(6832),i=r(5158),a=n(["precision mediump float;\n#define GLSLIFY 1\nattribute vec2 position;\nvarying vec2 uv;\nvoid main() {\n  uv = position;\n  gl_Position = vec4(position, 0, 1);\n}"]),o=n(["precision mediump float;\n#define GLSLIFY 1\n\nuniform sampler2D accumBuffer;\nvarying vec2 uv;\n\nvoid main() {\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\n  gl_FragColor = min(vec4(1,1,1,1), accum);\n}"]);t.exports=function(t){return i(t,a,o,null,[{name:"position",type:"vec2"}])}},1059:function(t,e,r){"use strict";var n=r(4296),i=r(7453),a=r(2771),o=r(6496),s=r(2611),l=r(4234),u=r(8126),c=r(6145),f=r(1120),h=r(5268),p=r(8245),d=r(2321)({tablet:!0,featureDetect:!0});function v(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function g(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}return e>0?(r=Math.round(Math.pow(10,e)),Math.ceil(t/r)*r):Math.ceil(t)}function y(t){return"boolean"!=typeof t||t}t.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;e||(e=document.createElement("canvas"),t.container?t.container.appendChild(e):document.body.appendChild(e));var r=t.gl;if(r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext("webgl",e))||(r=t.getContext("experimental-webgl",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d})),!r)throw new Error("webgl not supported");var m=t.bounds||[[-10,-10,-10],[10,10,10]],x=new v,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&"orthographic"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||"turntable",_ortho:w},A=t.axes||{},k=i(r,A);k.enable=!A.disable;var M=t.spikes||{},S=o(r,M),E=[],L=[],C=[],P=[],O=!0,I=!0,D={view:null,projection:new Array(16),model:new Array(16),_ortho:!1},z=(I=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),R=t.cameraObject||n(e,T),F={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:R,axes:k,axesPixels:null,spikes:S,bounds:m,objects:E,shape:z,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:y(t.autoResize),autoBounds:y(t.autoBounds),autoScale:!!t.autoScale,autoCenter:y(t.autoCenter),clipToBounds:y(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:D,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,I=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},B=[r.drawingBufferWidth/F.pixelRatio|0,r.drawingBufferHeight/F.pixelRatio|0];function N(){if(!F._stopped&&F.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*F.pixelRatio),a=0|Math.ceil(n*F.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||"absolute",o.left="0px",o.top="0px",o.width=r+"px",o.height=n+"px",O=!0}}}function j(){for(var t=E.length,e=P.length,n=0;n<e;++n)C[n]=0;t:for(n=0;n<t;++n){var i=E[n],a=i.pickSlots;if(a){for(var o=0;o<e;++o)if(C[o]+a<255){L[n]=o,i.setPickBase(C[o]+1),C[o]+=a;continue t}var l=s(r,z);L[n]=e,P.push(l),C.push(a),i.setPickBase(1),e+=1}else L[n]=-1}for(;e>0&&0===C[e-1];)C.pop(),P.pop().dispose()}function U(){if(F.contextLost)return!0;r.isContextLost()&&(F.contextLost=!0,F.mouseListener.enabled=!1,F.selection.object=null,F.oncontextloss&&F.oncontextloss())}F.autoResize&&N(),window.addEventListener("resize",N),F.update=function(t){F._stopped||(t=t||{},O=!0,I=!0)},F.add=function(t){F._stopped||(t.axes=k,E.push(t),L.push(-1),O=!0,I=!0,j())},F.remove=function(t){if(!F._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),O=!0,I=!0,j())}},F.dispose=function(){if(!F._stopped&&(F._stopped=!0,window.removeEventListener("resize",N),e.removeEventListener("webglcontextlost",U),F.mouseListener.enabled=!1,!F.contextLost)){k.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();for(b.dispose(),t=0;t<P.length;++t)P[t].dispose();_.dispose(),r=null,k=null,S=null,E=[]}},F._mouseRotating=!1,F._prevButtons=0,F.enableMouseListeners=function(){F.mouseListener=c(e,function(t,e,r){if(!F._stopped){var n=P.length,i=E.length,a=x.object;x.distance=1/0,x.mouse[0]=e,x.mouse[1]=r,x.object=null,x.screen=null,x.dataCoordinate=x.dataPosition=null;var o=!1;if(t&&F._prevButtons)F._mouseRotating=!0;else{F._mouseRotating&&(I=!0),F._mouseRotating=!1;for(var s=0;s<n;++s){var l=P[s].query(e,B[1]-r-1,F.pickRadius);if(l){if(l.distance>x.distance)continue;for(var u=0;u<i;++u){var c=E[u];if(L[u]===s){var f=c.pick(l);f&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=c,x.index=f.distance,x.dataPosition=f.position,x.dataCoordinate=f.dataCoordinate,x.data=f,o=!0)}}}}}a&&a!==x.object&&(a.highlight&&a.highlight(null),O=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),O=!0),(o=o||x.object!==a)&&F.onselect&&F.onselect(x),1&t&&!(1&F._prevButtons)&&F.onclick&&F.onclick(x),F._prevButtons=t}})},e.addEventListener("webglcontextlost",U);var V=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],H=[V[0].slice(),V[1].slice()];function q(){if(!U()){N();var t=F.camera.tick();D.view=F.camera.matrix,O=O||t,I=I||t,k.pixelRatio=F.pixelRatio,S.pixelRatio=F.pixelRatio;var e=E.length,n=V[0],i=V[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<e;++o){(C=E[o]).pixelRatio=F.pixelRatio,C.axes=F.axes,O=O||!!C.dirty,I=I||!!C.dirty;var s=C.bounds;if(s)for(var l=s[0],c=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),i[p]=Math.max(i[p],c[p])}var d=F.bounds;if(F.autoBounds)for(p=0;p<3;++p){if(i[p]<n[p])n[p]=-1,i[p]=1;else{n[p]===i[p]&&(n[p]-=1,i[p]+=1);var v=.05*(i[p]-n[p]);n[p]=n[p]-v,i[p]=i[p]+v}d[0][p]=n[p],d[1][p]=i[p]}var y=!1;for(p=0;p<3;++p)y=y||H[0][p]!==d[0][p]||H[1][p]!==d[1][p],H[0][p]=d[0][p],H[1][p]=d[1][p];if(I=I||y,O=O||y){if(y){var m=[0,0,0];for(o=0;o<3;++o)m[o]=g((d[1][o]-d[0][o])/10);k.autoTicks?k.update({bounds:d,tickSpacing:m}):k.update({bounds:d})}var T=r.drawingBufferWidth,A=r.drawingBufferHeight;for(z[0]=T,z[1]=A,B[0]=0|Math.max(T/F.pixelRatio,1),B[1]=0|Math.max(A/F.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,i=n.projection,a=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,u=t.zFar,c=t.fovy,p=o/s;e?(h(i,-p,p,-1,1,l,u),n._ortho=!0):(f(i,c,p,l,u),n._ortho=!1);for(var d=0;d<16;++d)a[d]=0;a[15]=1;var v=0;for(d=0;d<3;++d)v=Math.max(v,r[1][d]-r[0][d]);for(d=0;d<3;++d)t.autoScale?a[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):a[5*d]=1/v,t.autoCenter&&(a[12+d]=.5*-a[5*d]*(r[0][d]+r[1][d]))}(F,w),o=0;o<e;++o)(C=E[o]).axesBounds=d,F.clipToBounds&&(C.clipBounds=d);x.object&&(F.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),I&&(I=!1,function(){if(!U()){r.colorMask(!0,!0,!0,!0),r.depthMask(!0),r.disable(r.BLEND),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL);for(var t=E.length,e=P.length,n=0;n<e;++n){var i=P[n];i.shape=B,i.begin();for(var a=0;a<t;++a)if(L[a]===n){var o=E[a];o.drawPick&&(o.pixelRatio=1,o.drawPick(D))}i.end()}}}()),F.axesPixels=a(F.axes,D,T,A),F.onrender&&F.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,A),F.clearRGBA(),r.depthMask(!0),r.colorMask(!0,!0,!0,!0),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL),r.disable(r.BLEND),r.disable(r.CULL_FACE);var M=!1;for(k.enable&&(M=M||k.isTransparent(),k.draw(D)),S.axes=k,x.object&&S.draw(D),r.disable(r.CULL_FACE),o=0;o<e;++o)(C=E[o]).axes=k,C.pixelRatio=F.pixelRatio,C.isOpaque&&C.isOpaque()&&C.draw(D),C.isTransparent&&C.isTransparent()&&(M=!0);if(M){for(b.shape=z,b.bind(),r.clear(r.DEPTH_BUFFER_BIT),r.colorMask(!1,!1,!1,!1),r.depthMask(!0),r.depthFunc(r.LESS),k.enable&&k.isTransparent()&&k.drawTransparent(D),o=0;o<e;++o)(C=E[o]).isOpaque&&C.isOpaque()&&C.draw(D);for(r.enable(r.BLEND),r.blendEquation(r.FUNC_ADD),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.colorMask(!0,!0,!0,!0),r.depthMask(!1),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),k.isTransparent()&&k.drawTransparent(D),o=0;o<e;++o){var C;(C=E[o]).isTransparent&&C.isTransparent()&&C.drawTransparent(D)}r.bindFramebuffer(r.FRAMEBUFFER,null),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.disable(r.DEPTH_TEST),_.bind(),b.color[0].bind(0),_.uniforms.accumBuffer=0,u(r),r.disable(r.BLEND)}for(O=!1,o=0;o<e;++o)E[o].dirty=!1}}}return F.enableMouseListeners(),function t(){F._stopped||F.contextLost||(q(),requestAnimationFrame(t))}(),F.redraw=function(){F._stopped||(O=!0,q())},F},createCamera:n}},8023:function(t,e,r){var n=r(6832);e.pointVertex=n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\n\nuniform mat3 matrix;\nuniform float pointSize;\nuniform float pointCloud;\n\nhighp float rand(vec2 co) {\n  highp float a = 12.9898;\n  highp float b = 78.233;\n  highp float c = 43758.5453;\n  highp float d = dot(co.xy, vec2(a, b));\n  highp float e = mod(d, 3.14);\n  return fract(sin(e) * c);\n}\n\nvoid main() {\n  vec3 hgPosition = matrix * vec3(position, 1);\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\n    // if we don't jitter the point size a bit, overall point cloud\n    // saturation 'jumps' on zooming, which is disturbing and confusing\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\n  if(pointCloud != 0.0) { // pointCloud is truthy\n    // get the same square surface as circle would be\n    gl_PointSize *= 0.886;\n  }\n}"]),e.pointFragment=n(["precision mediump float;\n#define GLSLIFY 1\n\nuniform vec4 color, borderColor;\nuniform float centerFraction;\nuniform float pointCloud;\n\nvoid main() {\n  float radius;\n  vec4 baseColor;\n  if(pointCloud != 0.0) { // pointCloud is truthy\n    if(centerFraction == 1.0) {\n      gl_FragColor = color;\n    } else {\n      gl_FragColor = mix(borderColor, color, centerFraction);\n    }\n  } else {\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\n    if(radius > 1.0) {\n      discard;\n    }\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\n  }\n}\n"]),e.pickVertex=n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec4 pickId;\n\nuniform mat3 matrix;\nuniform float pointSize;\nuniform vec4 pickOffset;\n\nvarying vec4 fragId;\n\nvoid main() {\n  vec3 hgPosition = matrix * vec3(position, 1);\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\n  gl_PointSize = pointSize;\n\n  vec4 id = pickId + pickOffset;\n  id.y += floor(id.x / 256.0);\n  id.x -= floor(id.x / 256.0) * 256.0;\n\n  id.z += floor(id.y / 256.0);\n  id.y -= floor(id.y / 256.0) * 256.0;\n\n  id.w += floor(id.z / 256.0);\n  id.z -= floor(id.z / 256.0) * 256.0;\n\n  fragId = id;\n}\n"]),e.pickFragment=n(["precision mediump float;\n#define GLSLIFY 1\n\nvarying vec4 fragId;\n\nvoid main() {\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\n  if(radius > 1.0) {\n    discard;\n  }\n  gl_FragColor = fragId / 255.0;\n}\n"])},8271:function(t,e,r){"use strict";var n=r(5158),i=r(5827),a=r(5306),o=r(8023);function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}t.exports=function(t,e){var r=t.gl,a=new s(t,i(r),i(r),n(r,o.pointVertex,o.pointFragment),n(r,o.pickVertex,o.pickFragment));return a.update(e),t.addObject(a),a};var l,u,c=s.prototype;c.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},c.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r("sizeMin",.5),this.sizeMax=r("sizeMax",20),this.color=r("color",[1,0,0,1]).slice(),this.areaRatio=r("areaRatio",1),this.borderColor=r("borderColor",[0,0,0,1]).slice(),this.blend=r("blend",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),u=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e<n;e++)u[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(u),i||a.free(l),o||a.free(u),this.pointCount=n,this.pickOffset=0},c.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],u=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,i=this.plot.dataBox;if(0===this.pointCount)return t;var a=i[2]-i[0],o=i[3]-i[1],s=function(t,e){var r,n=0,i=t.length>>>1;for(r=0;r<i;r++){var a=t[2*r],o=t[2*r+1];a>=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),c=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=c<5,r.uniforms.pointSize=c,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(u[0]=255&t,u[1]=t>>8&255,u[2]=t>>16&255,u[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=u,this.pickOffset=t);var f=n.getParameter(n.BLEND),h=n.getParameter(n.DITHER);return f&&!this.blend&&n.disable(n.BLEND),h&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),f&&!this.blend&&n.enable(n.BLEND),h&&n.enable(n.DITHER),t+this.pointCount}),c.draw=c.unifiedDraw,c.drawPick=c.unifiedDraw,c.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},6093:function(t){t.exports=function(t,e,r,n){var i,a,o,s,l,u=e[0],c=e[1],f=e[2],h=e[3],p=r[0],d=r[1],v=r[2],g=r[3];return(a=u*p+c*d+f*v+h*g)<0&&(a=-a,p=-p,d=-d,v=-v,g=-g),1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n),t[0]=s*u+l*p,t[1]=s*c+l*d,t[2]=s*f+l*v,t[3]=s*h+l*g,t}},8240:function(t){"use strict";t.exports=function(t){return t||0===t?t.toString():""}},4123:function(t,e,r){"use strict";var n=r(875);t.exports=function(t,e,r){var a=i[e];if(a||(a=i[e]={}),t in a)return a[t];var o={textAlign:"center",textBaseline:"middle",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,u,c=n(t,o);if(r&&1!==r){for(l=0;l<s.positions.length;++l)for(u=0;u<s.positions[l].length;++u)s.positions[l][u]/=r;for(l=0;l<c.positions.length;++l)for(u=0;u<c.positions[l].length;++u)c.positions[l][u]/=r}var f=[[1/0,1/0],[-1/0,-1/0]],h=c.positions.length;for(l=0;l<h;++l){var p=c.positions[l];for(u=0;u<2;++u)f[0][u]=Math.min(f[0][u],p[u]),f[1][u]=Math.max(f[1][u],p[u])}return a[t]=[s,c,f]};var i={}},9282:function(t,e,r){var n=r(5158),i=r(6832),a=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform vec4 highlightId;\nuniform float highlightScale;\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0,0,0,0);\n  } else {\n    float scale = 1.0;\n    if(distance(highlightId, id) < 0.0001) {\n      scale = highlightScale;\n    }\n\n    vec4 worldPosition = model * vec4(position, 1);\n    vec4 viewPosition = view * worldPosition;\n    viewPosition = viewPosition / viewPosition.w;\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\n\n    gl_Position = clipPosition;\n    interpColor = color;\n    pickId = id;\n    dataCoordinate = position;\n  }\n}"]),o=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform vec2 screenSize;\nuniform vec3 clipBounds[2];\nuniform float highlightScale, pixelRatio;\nuniform vec4 highlightId;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0,0,0,0);\n  } else {\n    float scale = pixelRatio;\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\n      scale *= highlightScale;\n    }\n\n    vec4 worldPosition = model * vec4(position, 1.0);\n    vec4 viewPosition = view * worldPosition;\n    vec4 clipPosition = projection * viewPosition;\n    clipPosition /= clipPosition.w;\n\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\n    interpColor = color;\n    pickId = id;\n    dataCoordinate = position;\n  }\n}"]),s=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform float highlightScale;\nuniform vec4 highlightId;\nuniform vec3 axes[2];\nuniform mat4 model, view, projection;\nuniform vec2 screenSize;\nuniform vec3 clipBounds[2];\nuniform float scale, pixelRatio;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0,0,0,0);\n  } else {\n    float lscale = pixelRatio * scale;\n    if(distance(highlightId, id) < 0.0001) {\n      lscale *= highlightScale;\n    }\n\n    vec4 clipCenter   = projection * view * model * vec4(position, 1);\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\n    vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\n\n    gl_Position = clipPosition;\n    interpColor = color;\n    pickId = id;\n    dataCoordinate = dataPosition;\n  }\n}\n"]),l=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 fragClipBounds[2];\nuniform float opacity;\n\nvarying vec4 interpColor;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\n    interpColor.a * opacity == 0.\n  ) discard;\n  gl_FragColor = interpColor * opacity;\n}\n"]),u=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 fragClipBounds[2];\nuniform float pickGroup;\n\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\n\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\n}"]),c=[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"glyph",type:"vec2"},{name:"id",type:"vec4"}],f={vertex:a,fragment:l,attributes:c},h={vertex:o,fragment:l,attributes:c},p={vertex:s,fragment:l,attributes:c},d={vertex:a,fragment:u,attributes:c},v={vertex:o,fragment:u,attributes:c},g={vertex:s,fragment:u,attributes:c};function y(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}e.createPerspective=function(t){return y(t,f)},e.createOrtho=function(t){return y(t,h)},e.createProject=function(t){return y(t,p)},e.createPickPerspective=function(t){return y(t,d)},e.createPickOrtho=function(t){return y(t,v)},e.createPickProject=function(t){return y(t,g)}},2182:function(t,e,r){"use strict";var n=r(3596),i=r(5827),a=r(2944),o=r(5306),s=r(104),l=r(9282),u=r(4123),c=r(8240),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function p(t,e,r,n){return h(n,n),h(n,n),h(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function v(t){return!0===t||t>1?1:t}function g(t,e,r,n,i,a,o,s,l,u,c,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=u,this.pickOrthoShader=c,this.pickProjectShader=f,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}t.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),u=l.createPickOrtho(e),c=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),v=new g(e,r,n,o,f,h,p,d,a(e,[{buffer:f,size:3,type:e.FLOAT},{buffer:h,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),s,u,c);return v.update(t),v};var y=g.prototype;y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},y.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var m=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=f.slice(),A=[0,0,0],k=[[0,0,0],[0,0,0]];function M(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}var L=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function C(t,e,r,n,i,a,o){var l=r.gl;if((a===r.projectHasAlpha||o)&&function(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,u=r.model||f,c=r.view||f,h=r.projection||f,d=e.axesBounds,v=function(t){for(var e=k,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],m[0]=2/o.drawingBufferWidth,m[1]=2/o.drawingBufferHeight,t.bind(),l.view=c,l.projection=h,l.screenSize=m,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=v,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var g=0;g<3;++g)if(a[g]){l.scale=e.projectScale[g],l.opacity=e.projectOpacity[g];for(var y=T,L=0;L<16;++L)y[L]=0;for(L=0;L<4;++L)y[5*L]=1;y[5*g]=0,i[g]<0?y[12+g]=d[0][g]:y[12+g]=d[1][g],s(y,u,y),l.model=y;var C=(g+1)%3,P=(g+2)%3,O=M(x),I=M(b);O[C]=1,I[P]=1;var D=p(0,0,0,S(_,O)),z=p(0,0,0,S(w,I));if(Math.abs(D[1])>Math.abs(z[1])){var R=D;D=z,z=R,R=O,O=I,I=R;var F=C;C=P,P=F}D[0]<0&&(O[C]=-1),z[1]>0&&(I[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(u[4*C+L],2),N+=Math.pow(u[4*P+L],2);O[C]/=Math.sqrt(B),I[P]/=Math.sqrt(N),l.axes[0]=O,l.axes[1]=I,l.fragClipBounds[0]=E(A,v[0],g,-1e8),l.fragClipBounds[1]=E(A,v[1],g,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}(e,r,n,i),a===r.hasAlpha||o){t.bind();var u=t.uniforms;u.model=n.model||f,u.view=n.view||f,u.projection=n.projection||f,m[0]=2/l.drawingBufferWidth,m[1]=2/l.drawingBufferHeight,u.screenSize=m,u.highlightId=r.highlightId,u.highlightScale=r.highlightScale,u.fragClipBounds=L,u.clipBounds=r.axes.bounds,u.opacity=r.opacity,u.pickGroup=r.pickId/255,u.pixelRatio=i,r.vao.bind(),r.vao.draw(l.TRIANGLES,r.vertexCount),r.lineWidth>0&&(l.lineWidth(r.lineWidth*i),r.vao.draw(l.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function P(t,e,r,i){var a;a=Array.isArray(t)?e<t.length?t[e]:void 0:t,a=c(a);var o=!0;n(a)&&(a="▼",o=!1);var s=u(a,r,i);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}y.draw=function(t){C(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},y.drawTransparent=function(t){C(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},y.drawPick=function(t){C(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},y.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},y.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},y.update=function(t){if("perspective"in(t=t||{})&&(this.useOrtho=!t.perspective),"orthographic"in t&&(this.useOrtho=!!t.orthographic),"lineWidth"in t&&(this.lineWidth=t.lineWidth),"project"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if("projectScale"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,"projectOpacity"in t){Array.isArray(t.projectOpacity)?this.projectOpacity=t.projectOpacity.slice():(r=+t.projectOpacity,this.projectOpacity=[r,r,r]);for(var n=0;n<3;++n)this.projectOpacity[n]=v(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,"opacity"in t&&(this.opacity=v(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l=t.font||"normal",u=t.alignment||[0,0];if(2===u.length)i=u[0],a=u[1];else for(i=[],a=[],n=0;n<u.length;++n)i[n]=u[n][0],a[n]=u[n][1];var c=[1/0,1/0,1/0],f=[-1/0,-1/0,-1/0],h=t.glyph,p=t.color,d=t.size,g=t.angle,y=t.lineColor,m=-1,x=0,b=0,_=0;if(s.length){_=s.length;t:for(n=0;n<_;++n){for(var w=s[n],T=0;T<3;++T)if(isNaN(w[T])||!isFinite(w[T]))continue t;var A=(N=P(h,n,l,this.pixelRatio)).mesh,k=N.lines,M=N.bounds;x+=3*A.cells.length,b+=2*k.edges.length}}var S=x+b,E=o.mallocFloat(3*S),L=o.mallocFloat(4*S),C=o.mallocFloat(2*S),O=o.mallocUint32(S);if(S>0){var I=0,D=x,z=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(y)&&Array.isArray(y[0]);t:for(n=0;n<_;++n){for(m+=1,w=s[n],T=0;T<3;++T){if(isNaN(w[T])||!isFinite(w[T]))continue t;f[T]=Math.max(f[T],w[T]),c[T]=Math.min(c[T],w[T])}A=(N=P(h,n,l,this.pixelRatio)).mesh,k=N.lines,M=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(U=F?n<p.length?p[n]:[0,0,0,0]:p).length){for(T=0;T<3;++T)z[T]=U[T];z[3]=1}else if(4===U.length){for(T=0;T<4;++T)z[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else z[0]=z[1]=z[2]=0,z[3]=1;else 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tt=J[K[$]];C[2*I]=V*(q*tt[0]-G*tt[1]+Z[0]),C[2*I+1]=V*(G*tt[0]+q*tt[1]+Z[1]),I+=1}for(X=k.edges,J=k.positions,T=0;T<X.length;++T)for(K=X[T],$=0;$<2;++$){for(Q=0;Q<3;++Q)E[3*D+Q]=w[Q];for(Q=0;Q<4;++Q)L[4*D+Q]=R[Q];O[D]=m,tt=J[K[$]],C[2*D]=V*(q*tt[0]-G*tt[1]+Z[0]),C[2*D+1]=V*(G*tt[0]+q*tt[1]+Z[1]),D+=1}}}this.bounds=[c,f],this.points=s,this.pointCount=s.length,this.vertexCount=x,this.lineVertexCount=b,this.pointBuffer.update(E),this.colorBuffer.update(L),this.glyphBuffer.update(C),this.idBuffer.update(O),o.free(E),o.free(L),o.free(C),o.free(O)},y.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()}},1884:function(t,e,r){"use strict";var n=r(6832);e.boxVertex=n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 vertex;\n\nuniform vec2 cornerA, cornerB;\n\nvoid main() {\n  gl_Position = vec4(mix(cornerA, cornerB, vertex), 0, 1);\n}\n"]),e.boxFragment=n(["precision mediump float;\n#define GLSLIFY 1\n\nuniform vec4 color;\n\nvoid main() {\n  gl_FragColor = color;\n}\n"])},6623:function(t,e,r){"use strict";var n=r(5158),i=r(5827),a=r(1884);function o(t,e,r){this.plot=t,this.boxBuffer=e,this.boxShader=r,this.enabled=!0,this.selectBox=[1/0,1/0,-1/0,-1/0],this.borderColor=[0,0,0,1],this.innerFill=!1,this.innerColor=[0,0,0,.25],this.outerFill=!0,this.outerColor=[0,0,0,.5],this.borderWidth=10}t.exports=function(t,e){var r=t.gl,s=new o(t,i(r,[0,0,0,1,1,0,1,1]),n(r,a.boxVertex,a.boxFragment));return s.update(e),t.addOverlay(s),s};var s=o.prototype;s.draw=function(){if(this.enabled){var t=this.plot,e=this.selectBox,r=this.borderWidth,n=(this.innerFill,this.innerColor),i=(this.outerFill,this.outerColor),a=this.borderColor,o=t.box,s=t.screenBox,l=t.dataBox,u=t.viewBox,c=t.pixelRatio,f=(e[0]-l[0])*(u[2]-u[0])/(l[2]-l[0])+u[0],h=(e[1]-l[1])*(u[3]-u[1])/(l[3]-l[1])+u[1],p=(e[2]-l[0])*(u[2]-u[0])/(l[2]-l[0])+u[0],d=(e[3]-l[1])*(u[3]-u[1])/(l[3]-l[1])+u[1];if(f=Math.max(f,u[0]),h=Math.max(h,u[1]),p=Math.min(p,u[2]),d=Math.min(d,u[3]),!(p<f||d<h)){o.bind();var v=s[2]-s[0],g=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,v,h,i),o.drawBox(0,h,f,d,i),o.drawBox(0,d,v,g,i),o.drawBox(p,h,v,d,i)),this.innerFill&&o.drawBox(f,h,p,d,n),r>0){var y=r*c;o.drawBox(f-y,h-y,p+y,h+y,a),o.drawBox(f-y,d-y,p+y,d+y,a),o.drawBox(f-y,h-y,f+y,d+y,a),o.drawBox(p-y,h-y,p+y,d+y,a)}}}},s.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},2611:function(t,e,r){"use strict";t.exports=function(t,e){var r=e[0],a=e[1];return new l(t,n(t,r,a,{}),i.mallocUint8(r*a*4))};var n=r(4234),i=r(5306),a=r(5050),o=r(2288).nextPow2;function s(t,e,r,n,i){this.coord=[t,e],this.id=r,this.value=n,this.distance=i}function l(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var 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i=0|Math.min(Math.max(t-r,0),n[0]),o=0|Math.min(Math.max(t+r,0),n[0]),l=0|Math.min(Math.max(e-r,0),n[1]),u=0|Math.min(Math.max(e+r,0),n[1]);if(o<=i||u<=l)return null;var c=[o-i,u-l],f=a(this.buffer,[c[0],c[1],4],[4,4*n[0],1],4*(i+n[0]*l)),h=function(t,e,r){for(var n=1e8,i=-1,a=-1,o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var u=0;u<s;u++){var c=t.get(l,u,0),f=t.get(l,u,1),h=t.get(l,u,2),p=t.get(l,u,3);if(c<255||f<255||h<255||p<255){var d=e-l,v=r-u,g=d*d+v*v;g<n&&(n=g,i=l,a=u)}}return[i,a,n]}(f.hi(c[0],c[1],1),r,r),p=h[0],d=h[1];return p<0||Math.pow(this.radius,2)<h[2]?null:new s(p+i|0,d+l|0,f.get(p,d,0),[f.get(p,d,1),f.get(p,d,2),f.get(p,d,3)],Math.sqrt(h[2]))},u.dispose=function(){this.gl&&(this.fbo.dispose(),i.free(this.buffer),this.gl=null,this._readTimeout&&clearTimeout(this._readTimeout))}},5158:function(t,e,r){"use strict";var n=r(9016),i=r(4280),a=r(3984),o=r(1628),s=r(2631),l=r(9068);function 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with\n  // model & view changes.\n  vec3 normal;\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n  //Lighting geometry parameters\n  vec4 cameraCoordinate = view * tubePosition;\n  cameraCoordinate.xyz /= cameraCoordinate.w;\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n  // vec4 m_position  = model * vec4(tubePosition, 1.0);\n  vec4 t_position  = view * tubePosition;\n  gl_Position      = projection * t_position;\n\n  f_color          = color;\n  f_data           = tubePosition.xyz;\n  f_position       = position.xyz;\n  f_uv             = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n  float NdotH = max(x, 0.0001);\n  float cos2Alpha = NdotH * NdotH;\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n  float roughness2 = roughness * roughness;\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n  return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n  vec3 lightDirection,\n  vec3 viewDirection,\n  vec3 surfaceNormal,\n  float roughness,\n  float fresnel) {\n\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n  //Half angle vector\n  vec3 H = normalize(lightDirection + viewDirection);\n\n  //Geometric term\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\n  float VdotH = max(dot(viewDirection, H), 0.000001);\n  float LdotH = max(dot(lightDirection, H), 0.000001);\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\n  float G = min(1.0, min(G1, G2));\n  \n  //Distribution term\n  float D = beckmannDistribution(NdotH, roughness);\n\n  //Fresnel term\n  float F = pow(1.0 - VdotN, fresnel);\n\n  //Multiply terms and done\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform sampler2D texture;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n  vec3 N = normalize(f_normal);\n  vec3 L = normalize(f_lightDirection);\n  vec3 V = normalize(f_eyeDirection);\n\n  if(gl_FrontFacing) {\n    N = -N;\n  }\n\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n\n  gl_FragColor = litColor * opacity;\n}\n"]),o=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n  // Return up-vector for only-z vector.\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n  // Assign z = 0, x = -b, y = a:\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n    return normalize(vec3(-v.y, v.x, 0.0));\n  } else {\n    return normalize(vec3(0.0, v.z, -v.y));\n  }\n}\n\n// Calculate the tube vertex and normal at the given index.\n//\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\n//\n// Each tube segment is made up of a ring of vertices.\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\n// The indexes of tube segments run from 0 to 8.\n//\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\n  float segmentCount = 8.0;\n\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\n\n  vec3 u = getOrthogonalVector(d);\n  vec3 v = normalize(cross(u, d));\n\n  vec3 x = u * cos(angle) * length(d);\n  vec3 y = v * sin(angle) * length(d);\n  vec3 v3 = x + y;\n\n  normal = normalize(v3);\n\n  return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform float tubeScale;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  vec3 normal;\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n  gl_Position = projection * view * tubePosition;\n  f_id        = id;\n  f_position  = position.xyz;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3  clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n  gl_FragColor = vec4(pickId, f_id.xyz);\n}"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec4"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"vector",type:"vec4"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec4"},{name:"id",type:"vec4"},{name:"vector",type:"vec4"}]}},7307:function(t,e,r){"use strict";var n=r(2858),i=r(4020),a=["xyz","xzy","yxz","yzx","zxy","zyx"],o=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var i=t[r];if(i===e)return r;if(i>e)return r-1}return r},s=function(t,e,r){return t<e?e:t>r?r:t},l=function(t){var e=1/0;t.sort(function(t,e){return t-e});for(var r=t.length,n=1;n<r;n++){var i=Math.abs(t[n]-t[n-1]);i<e&&(e=i)}return e};t.exports=function(t,e){var r=t.startingPositions,u=t.maxLength||1e3,c=t.tubeSize||1,f=t.absoluteTubeSize,h=t.gridFill||"+x+y+z",p={};-1!==h.indexOf("-x")&&(p.reversedX=!0),-1!==h.indexOf("-y")&&(p.reversedY=!0),-1!==h.indexOf("-z")&&(p.reversedZ=!0),p.filled=a.indexOf(h.replace(/-/g,"").replace(/\+/g,""));var d=t.getVelocity||function(e){return function(t,e,r){var i=e.vectors,a=e.meshgrid,l=t[0],u=t[1],c=t[2],f=a[0].length,h=a[1].length,p=a[2].length,d=o(a[0],l),v=o(a[1],u),g=o(a[2],c),y=d+1,m=v+1,x=g+1;if(d=s(d,0,f-1),y=s(y,0,f-1),v=s(v,0,h-1),m=s(m,0,h-1),g=s(g,0,p-1),x=s(x,0,p-1),d<0||v<0||g<0||y>f-1||m>h-1||x>p-1)return n.create();var b,_,w,T,A,k,M=a[0][d],S=a[0][y],E=a[1][v],L=a[1][m],C=a[2][g],P=(l-M)/(S-M),O=(u-E)/(L-E),I=(c-C)/(a[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(O)||(O=.5),isFinite(I)||(I=.5),r.reversedX&&(d=f-1-d,y=f-1-y),r.reversedY&&(v=h-1-v,m=h-1-m),r.reversedZ&&(g=p-1-g,x=p-1-x),r.filled){case 5:A=g,k=x,w=v*p,T=m*p,b=d*p*h,_=y*p*h;break;case 4:A=g,k=x,b=d*p,_=y*p,w=v*p*f,T=m*p*f;break;case 3:w=v,T=m,A=g*h,k=x*h,b=d*h*p,_=y*h*p;break;case 2:w=v,T=m,b=d*h,_=y*h,A=g*h*f,k=x*h*f;break;case 1:b=d,_=y,A=g*f,k=x*f,w=v*f*p,T=m*f*p;break;default:b=d,_=y,w=v*f,T=m*f,A=g*f*h,k=x*f*h}var D=i[b+w+A],z=i[b+w+k],R=i[b+T+A],F=i[b+T+k],B=i[_+w+A],N=i[_+w+k],j=i[_+T+A],U=i[_+T+k],V=n.create(),H=n.create(),q=n.create(),G=n.create();n.lerp(V,D,B,P),n.lerp(H,z,N,P),n.lerp(q,R,j,P),n.lerp(G,F,U,P);var Y=n.create(),W=n.create();n.lerp(Y,V,q,O),n.lerp(W,H,G,O);var Z=n.create();return n.lerp(Z,Y,W,I),Z}(e,t,p)},v=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},g=[],y=e[0][0],m=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(e<y||e>b||r<m||r>_||n<x||n>w)},A=10*n.distance(e[0],e[1])/u,k=A*A,M=1,S=0,E=r.length;E>1&&(M=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,u=0;u<s;u++){var c=t[u],f=c[0],h=c[1],p=c[2];i[f]||(e.push(f),i[f]=!0),a[h]||(r.push(h),a[h]=!0),o[p]||(n.push(p),o[p]=!0)}var d=l(e),v=l(r),g=l(n),y=Math.min(d,v,g);return isFinite(y)?y:1}(r));for(var L=0;L<E;L++){var C=n.create();n.copy(C,r[L]);var P=[C],O=[],I=d(C),D=C;O.push(I);var z=[],R=v(C,I),F=n.length(R);isFinite(F)&&F>S&&(S=F),z.push(F),g.push({points:P,velocities:O,divergences:z});for(var B=0;B<100*u&&P.length<u&&T(C);){B++;var N=n.clone(I),j=n.squaredLength(N);if(0===j)break;j>k&&n.scale(N,N,A/Math.sqrt(j)),n.add(N,N,C),I=d(N),n.squaredDistance(D,N)-k>-1e-4*k&&(P.push(N),D=N,O.push(I),R=v(N,I),F=n.length(R),isFinite(F)&&F>S&&(S=F),z.push(F)),C=N}}var U=function(t,e,r,a){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,u=0;u<l.length;u++)o=Math.max(o,n.length(l[u]));var c=t.map(function(t){return function(t,e,r,a){for(var o=t.points,s=t.velocities,l=t.divergences,u=[],c=[],f=[],h=[],p=[],d=[],v=0,g=0,y=i.create(),m=i.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),g=n.length(_)/a,y=i.create(),n.copy(y,_),y[3]=w;for(var T=0;T<8;T++)p[T]=[b[0],b[1],b[2],T];if(h.length>0)for(T=0;T<8;T++){var A=(T+1)%8;u.push(h[T],p[T],p[A],p[A],h[A],h[T]),f.push(m,y,y,y,m,m),d.push(v,g,g,g,v,v);var k=u.length;c.push([k-6,k-5,k-4],[k-3,k-2,k-1])}var M=h;h=p,p=M;var S=m;m=y,y=S;var E=v;v=g,g=E}return{positions:u,cells:c,vectors:f,vertexIntensity:d}}(t,r,a,o)}),f=[],h=[],p=[],d=[];for(s=0;s<c.length;s++){var v=c[s],g=f.length;for(f=f.concat(v.positions),p=p.concat(v.vectors),d=d.concat(v.vertexIntensity),u=0;u<v.cells.length;u++){var y=v.cells[u],m=[];h.push(m);for(var x=0;x<y.length;x++)m.push(y[x]+g)}}return{positions:f,cells:h,vectors:p,vertexIntensity:d,colormap:e}}(g,t.colormap,S,M);return f?U.tubeScale=f:(0===S&&(S=1),U.tubeScale=.5*c*M/S),U};var u=r(9578),c=r(1140).createMesh;t.exports.createTubeMesh=function(t,e){return c(t,e,{shaders:u,traceType:"streamtube"})}},9054:function(t,e,r){var n=r(5158),i=r(6832),a=i(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec4 uv;\nattribute vec3 f;\nattribute vec3 normal;\n\nuniform vec3 objectOffset;\nuniform mat4 model, view, projection, inverseModel;\nuniform vec3 lightPosition, eyePosition;\nuniform sampler2D colormap;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n  vec3 localCoordinate = vec3(uv.zw, f.x);\n  worldCoordinate = objectOffset + localCoordinate;\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\n  vec4 clipPosition = projection * view * worldPosition;\n  gl_Position = clipPosition;\n  kill = f.y;\n  value = f.z;\n  planeCoordinate = uv.xy;\n\n  vColor = texture2D(colormap, vec2(value, value));\n\n  //Lighting geometry parameters\n  vec4 cameraCoordinate = view * worldPosition;\n  cameraCoordinate.xyz /= cameraCoordinate.w;\n  lightDirection = lightPosition - cameraCoordinate.xyz;\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\n}\n"]),o=i(["precision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n  float NdotH = max(x, 0.0001);\n  float cos2Alpha = NdotH * NdotH;\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n  float roughness2 = roughness * roughness;\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n  return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat beckmannSpecular(\n  vec3 lightDirection,\n  vec3 viewDirection,\n  vec3 surfaceNormal,\n  float roughness) {\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\n}\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 lowerBound, upperBound;\nuniform float contourTint;\nuniform vec4 contourColor;\nuniform sampler2D colormap;\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform float vertexColor;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n  if (\n    kill > 0.0 ||\n    vColor.a == 0.0 ||\n    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\n  ) discard;\n\n  vec3 N = normalize(surfaceNormal);\n  vec3 V = normalize(eyeDirection);\n  vec3 L = normalize(lightDirection);\n\n  if(gl_FrontFacing) {\n    N = -N;\n  }\n\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n  //decide how to interpolate color — in vertex or in fragment\n  vec4 surfaceColor =\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\n    step(.5, vertexColor) * vColor;\n\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\n}\n"]),s=i(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec4 uv;\nattribute float f;\n\nuniform vec3 objectOffset;\nuniform mat3 permutation;\nuniform mat4 model, view, projection;\nuniform float height, zOffset;\nuniform sampler2D colormap;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\n  worldCoordinate = objectOffset + dataCoordinate;\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\n\n  vec4 clipPosition = projection * view * worldPosition;\n  clipPosition.z += zOffset;\n\n  gl_Position = clipPosition;\n  value = f + objectOffset.z;\n  kill = -1.0;\n  planeCoordinate = uv.zw;\n\n  vColor = texture2D(colormap, vec2(value, value));\n\n  //Don't do lighting for contours\n  surfaceNormal   = vec3(1,0,0);\n  eyeDirection    = vec3(0,1,0);\n  lightDirection  = vec3(0,0,1);\n}\n"]),l=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec2 shape;\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 surfaceNormal;\n\nvec2 splitFloat(float v) {\n  float vh = 255.0 * v;\n  float upper = floor(vh);\n  float lower = fract(vh);\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\n}\n\nvoid main() {\n  if ((kill > 0.0) ||\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\n\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\n}\n"]);e.createShader=function(t){var e=n(t,a,o,null,[{name:"uv",type:"vec4"},{name:"f",type:"vec3"},{name:"normal",type:"vec3"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createPickShader=function(t){var e=n(t,a,l,null,[{name:"uv",type:"vec4"},{name:"f",type:"vec3"},{name:"normal",type:"vec3"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createContourShader=function(t){var e=n(t,s,o,null,[{name:"uv",type:"vec4"},{name:"f",type:"float"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},e.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:"uv",type:"vec4"},{name:"f",type:"float"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},3754:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl,r=m(e),n=b(e),s=x(e),l=_(e),u=i(e),c=a(e,[{buffer:u,size:4,stride:w,offset:0},{buffer:u,size:3,stride:w,offset:16},{buffer:u,size:3,stride:w,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),v=o(e,1,S,e.RGBA,e.UNSIGNED_BYTE);v.minFilter=e.LINEAR,v.magFilter=e.LINEAR;var g=new E(e,[0,0],[[0,0,0],[0,0,0]],r,n,u,c,v,s,l,f,h,p,d,[0,0,0]),y={levels:[[],[],[]]};for(var T in t)y[T]=t[T];return y.colormap=y.colormap||"jet",g.update(y),g};var n=r(2288),i=r(5827),a=r(2944),o=r(8931),s=r(5306),l=r(9156),u=r(7498),c=r(7382),f=r(5050),h=r(4162),p=r(104),d=r(7437),v=r(5070),g=r(9144),y=r(9054),m=y.createShader,x=y.createContourShader,b=y.createPickShader,_=y.createPickContourShader,w=40,T=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],A=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],k=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function M(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t<3;++t){var e=k[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();var S=256;function E(t,e,r,n,i,a,o,l,u,c,h,p,d,v,g){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=g,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=u,this._contourPickShader=c,this._contourBuffer=h,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new M([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=v,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var L=E.prototype;L.genColormap=function(t,e){var r=!1,n=c([l({colormap:t,nshades:S,format:"rgba"}).map(function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]})]);return u.divseq(n,255),this.hasAlphaScale=r,n},L.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},L.isOpaque=function(){return!this.isTransparent()},L.pickSlots=1,L.setPickBase=function(t){this.pickId=t};var C=[0,0,0],P={showSurface:!1,showContour:!1,projections:[T.slice(),T.slice(),T.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function O(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||C,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=P.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var u=P.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)u[i][n]=t.clipBounds[i][n];u[0][r]=-1e8,u[1][r]=1e8}return P.showSurface=o,P.showContour=s,P}var I={model:T,view:T,projection:T,inverseModel:T.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},D=T.slice(),z=[1,0,0,0,1,0,0,0,1];function R(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=I;n.model=t.model||T,n.view=t.view||T,n.projection=t.projection||T,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=z,n.vertexColor=this.vertexColor;var s=D;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var u=s[12+i];for(o=0;o<3;++o)u+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=u/l}var c=O(n,this);if(c.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=c.projections[i],this._shader.uniforms.clipBounds=c.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(c.showContour){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var h=this._contourVAO;for(h.bind(),i=0;i<3;++i)for(f.uniforms.permutation=k[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o<this.contourLevels[i].length;++o)o===this.highlightLevel[i]?(f.uniforms.contourColor=this.highlightColor[i],f.uniforms.contourTint=this.highlightTint[i]):0!==o&&o-1!==this.highlightLevel[i]||(f.uniforms.contourColor=this.contourColor[i],f.uniforms.contourTint=this.contourTint[i]),this._contourCounts[i][o]&&(f.uniforms.height=this.contourLevels[i][o],h.draw(r.LINES,this._contourCounts[i][o],this._contourOffsets[i][o]));for(i=0;i<3;++i)for(f.uniforms.model=c.projections[i],f.uniforms.clipBounds=c.clipBounds[i],o=0;o<3;++o)if(this.contourProject[i][o]){f.uniforms.permutation=k[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var v=0;v<this.contourLevels[o].length;++v)v===this.highlightLevel[o]?(f.uniforms.contourColor=this.highlightColor[o],f.uniforms.contourTint=this.highlightTint[o]):0!==v&&v-1!==this.highlightLevel[o]||(f.uniforms.contourColor=this.contourColor[o],f.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][v]&&(f.uniforms.height=this.contourLevels[o][v],h.draw(r.LINES,this._contourCounts[o][v],this._contourOffsets[o][v]))}for(h.unbind(),(h=this._dynamicVAO).bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(f.uniforms.model=n.model,f.uniforms.clipBounds=n.clipBounds,f.uniforms.permutation=k[i],r.lineWidth(this.dynamicWidth[i]*this.pixelRatio),f.uniforms.contourColor=this.dynamicColor[i],f.uniforms.contourTint=this.dynamicTint[i],f.uniforms.height=this.dynamicLevel[i],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),o=0;o<3;++o)this.contourProject[o][i]&&(f.uniforms.model=c.projections[o],f.uniforms.clipBounds=c.clipBounds[o],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));h.unbind()}}L.draw=function(t){return R.call(this,t,!1)},L.drawTransparent=function(t){return R.call(this,t,!0)};var F={model:T,view:T,projection:T,inverseModel:T,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function B(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function N(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function j(t){if(Array.isArray(t)){if(Array.isArray(t))return[N(t[0]),N(t[1]),N(t[2])];var e=N(t);return[e.slice(),e.slice(),e.slice()]}}L.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=F;r.model=t.model||T,r.view=t.view||T,r.projection=t.projection||T,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=z;for(var n=0;n<2;++n)for(var i=r.clipBounds[n],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var o=O(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]*this.pixelRatio),s.uniforms.permutation=k[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(s.uniforms.height=this.contourLevels[a][n],l.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){s.uniforms.permutation=k[a],e.lineWidth(this.contourWidth[a]*this.pixelRatio);for(var u=0;u<this.contourLevels[a].length;++u)this._contourCounts[a][u]&&(s.uniforms.height=this.contourLevels[a][u],l.draw(e.LINES,this._contourCounts[a][u],this._contourOffsets[a][u]))}l.unbind()}},L.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var u=r.position;u[0]=u[1]=u[2]=0;for(var c=0;c<2;++c)for(var f=c?a:1-a,h=0;h<2;++h)for(var p=i+c,d=s+h,g=f*(h?l:1-l),y=0;y<3;++y)u[y]+=this._field[y].get(p,d)*g;for(var m=this._pickResult.level,x=0;x<3;++x)if(m[x]=v.le(this.contourLevels[x],u[x]),m[x]<0)this.contourLevels[x].length>0&&(m[x]=0);else if(m[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][m[x]],_=this.contourLevels[x][m[x]+1];Math.abs(b-u[x])>Math.abs(_-u[x])&&(m[x]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],y=0;y<3;++y)r.dataCoordinate[y]=this._field[y].get(r.index[0],r.index[1]);return r},L.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();u.assign(t.lo(1,1).hi(r[0],r[1]),e),u.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),u.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),u.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),u.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},L.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,"contourWidth"in t&&(this.contourWidth=B(t.contourWidth,Number)),"showContour"in t&&(this.showContour=B(t.showContour,Boolean)),"showSurface"in t&&(this.showSurface=!!t.showSurface),"contourTint"in t&&(this.contourTint=B(t.contourTint,Boolean)),"contourColor"in t&&(this.contourColor=j(t.contourColor)),"contourProject"in t&&(this.contourProject=B(t.contourProject,function(t){return B(t,Boolean)})),"surfaceProject"in t&&(this.surfaceProject=t.surfaceProject),"dynamicColor"in t&&(this.dynamicColor=j(t.dynamicColor)),"dynamicTint"in t&&(this.dynamicTint=B(t.dynamicTint,Number)),"dynamicWidth"in t&&(this.dynamicWidth=B(t.dynamicWidth,Number)),"opacity"in t&&(this.opacity=t.opacity),"opacityscale"in t&&(this.opacityscale=t.opacityscale),"colorBounds"in t&&(this.colorBounds=t.colorBounds),"vertexColor"in t&&(this.vertexColor=t.vertexColor?1:0),"colormap"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),"field"in t||"coords"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=f(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error("gl-surface: invalid coordinates for x/y");for(o=0;o<2;++o){var u=l[o];for(y=0;y<2;++y)if(u.shape[y]!==a[y])throw new Error("gl-surface: coords have incorrect shape");this.padField(this._field[o],u)}}else if(t.ticks){var c=t.ticks;if(!Array.isArray(c)||2!==c.length)throw new Error("gl-surface: invalid ticks");for(o=0;o<2;++o){var p=c[o];if((Array.isArray(p)||p.length)&&(p=f(p)),p.shape[0]!==a[o])throw new Error("gl-surface: invalid tick length");var d=f(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var v=[0,0];v[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],v,0)}this._field[0].set(0,0,0);for(var y=0;y<a[0];++y)this._field[0].set(y+1,0,y);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),y=0;y<a[1];++y)this._field[1].set(0,y+1,y);this._field[1].set(0,a[1]+1,a[1]-1)}var m=this._field,x=f(s.mallocFloat(3*m[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)g(x.pick(o),m[o],"mirror");var b=f(s.mallocFloat(3*m[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(y=0;y<a[1]+2;++y){var _=x.get(0,o,y,0),w=x.get(0,o,y,1),T=x.get(1,o,y,0),k=x.get(1,o,y,1),M=x.get(2,o,y,0),S=x.get(2,o,y,1),E=T*S-k*M,L=M*w-S*_,C=_*k-w*T,P=Math.sqrt(E*E+L*L+C*C);P<1e-8?(P=Math.max(Math.abs(E),Math.abs(L),Math.abs(C)))<1e-8?(C=1,L=E=0,P=1):P=1/P:P=1/Math.sqrt(P),b.set(o,y,0,E*P),b.set(o,y,1,L*P),b.set(o,y,2,C*P)}s.free(x.data);var O=[1/0,1/0,1/0],I=[-1/0,-1/0,-1/0],D=1/0,z=-1/0,R=(a[0]-1)*(a[1]-1)*6,F=s.mallocFloat(n.nextPow2(10*R)),N=0,U=0;for(o=0;o<a[0]-1;++o)t:for(y=0;y<a[1]-1;++y){for(var V=0;V<2;++V)for(var H=0;H<2;++H)for(var q=0;q<3;++q){var G=this._field[q].get(1+o+V,1+y+H);if(isNaN(G)||!isFinite(G))continue t}for(q=0;q<6;++q){var Y=o+A[q][0],W=y+A[q][1],Z=this._field[0].get(Y+1,W+1),X=this._field[1].get(Y+1,W+1);G=this._field[2].get(Y+1,W+1),E=b.get(Y+1,W+1,0),L=b.get(Y+1,W+1,1),C=b.get(Y+1,W+1,2),t.intensity&&(J=t.intensity.get(Y,W));var J=t.intensity?t.intensity.get(Y,W):G+this.objectOffset[2];F[N++]=Y,F[N++]=W,F[N++]=Z,F[N++]=X,F[N++]=G,F[N++]=0,F[N++]=J,F[N++]=E,F[N++]=L,F[N++]=C,O[0]=Math.min(O[0],Z+this.objectOffset[0]),O[1]=Math.min(O[1],X+this.objectOffset[1]),O[2]=Math.min(O[2],G+this.objectOffset[2]),D=Math.min(D,J),I[0]=Math.max(I[0],Z+this.objectOffset[0]),I[1]=Math.max(I[1],X+this.objectOffset[1]),I[2]=Math.max(I[2],G+this.objectOffset[2]),z=Math.max(z,J),U+=1}}for(t.intensityBounds&&(D=+t.intensityBounds[0],z=+t.intensityBounds[1]),o=6;o<N;o+=10)F[o]=(F[o]-D)/(z-D);this._vertexCount=U,this._coordinateBuffer.update(F.subarray(0,N)),s.freeFloat(F),s.free(b.data),this.bounds=[O,I],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===D&&this.intensityBounds[1]===z||(r=!0),this.intensityBounds=[D,z]}if("levels"in t){var K=t.levels;for(K=Array.isArray(K[0])?K.slice():[[],[],K],o=0;o<3;++o)K[o]=K[o].slice(),K[o].sort(function(t,e){return t-e});for(o=0;o<3;++o)for(y=0;y<K[o].length;++y)K[o][y]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(K[o].length!==this.contourLevels[o].length){r=!0;break}for(y=0;y<K[o].length;++y)if(K[o][y]!==this.contourLevels[o][y]){r=!0;break t}}this.contourLevels=K}if(r){m=this._field,a=this.shape;for(var $=[],Q=0;Q<3;++Q){var tt=this.contourLevels[Q],et=[],rt=[],nt=[0,0,0];for(o=0;o<tt.length;++o){var it=h(this._field[Q],tt[o]);et.push($.length/5|0),U=0;t:for(y=0;y<it.cells.length;++y){var at=it.cells[y];for(q=0;q<2;++q){var ot=it.positions[at[q]],st=ot[0],lt=0|Math.floor(st),ut=st-lt,ct=ot[1],ft=0|Math.floor(ct),ht=ct-ft,pt=!1;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var vt=(Q+dt+1)%3;for(V=0;V<2;++V){var gt=V?ut:1-ut;for(Y=0|Math.min(Math.max(lt+V,0),a[0]),H=0;H<2;++H){var yt=H?ht:1-ht;if(W=0|Math.min(Math.max(ft+H,0),a[1]),G=dt<2?this._field[vt].get(Y,W):(this.intensity.get(Y,W)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(G)||isNaN(G)){pt=!0;break e}var mt=gt*yt;nt[dt]+=mt*G}}}if(pt){if(q>0){for(var xt=0;xt<5;++xt)$.pop();U-=1}continue t}$.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[Q]=et,this._contourCounts[Q]=rt}var bt=s.mallocFloat($.length);for(o=0;o<$.length;++o)bt[o]=$[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},L.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},L.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,u=(o+2)%3,c=this._field[o],f=this._field[l],p=this._field[u],d=h(c,r[o]),v=d.cells,g=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<v.length;++e)for(var y=v[e],m=0;m<2;++m){var x=g[y[m]],b=+x[0],_=0|b,w=0|Math.min(_+1,i[0]),T=b-_,A=1-T,k=+x[1],M=0|k,S=0|Math.min(M+1,i[1]),E=k-M,L=1-E,C=A*L,P=A*E,O=T*L,I=T*E,D=C*f.get(_,M)+P*f.get(_,S)+O*f.get(w,M)+I*f.get(w,S),z=C*p.get(_,M)+P*p.get(_,S)+O*p.get(w,M)+I*p.get(w,S);if(isNaN(D)||isNaN(z)){m&&(n-=1);break}a[2*n+0]=D,a[2*n+1]=z,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),s.freeFloat(a)}}},8931:function(t,e,r){"use strict";var n=r(5050),i=r(7498),a=r(5306);t.exports=function(t){if(arguments.length<=1)throw new Error("gl-texture2d: Missing arguments for texture2d constructor");if(o||function(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}(t),"number"==typeof arguments[1])return g(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return g(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if("object"==typeof arguments[1]){var e=arguments[1],r=u(e)?e:e.raw;if(r)return function(t,e,r,n,i,a){var o=v(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new h(t,o,r,n,i,a)}(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return function(t,e){var r=e.dtype,o=e.shape.slice(),s=t.getParameter(t.MAX_TEXTURE_SIZE);if(o[0]<0||o[0]>s||o[1]<0||o[1]>s)throw new Error("gl-texture2d: Invalid texture size");var l=d(o,e.stride.slice()),u=0;"float32"===r?u=t.FLOAT:"float64"===r?(u=t.FLOAT,l=!1,r="float32"):"uint8"===r?u=t.UNSIGNED_BYTE:(u=t.UNSIGNED_BYTE,l=!1,r="uint8");var f,p,g=0;if(2===o.length)g=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error("gl-texture2d: Invalid shape for texture");if(1===o[2])g=t.ALPHA;else if(2===o[2])g=t.LUMINANCE_ALPHA;else if(3===o[2])g=t.RGB;else{if(4!==o[2])throw new Error("gl-texture2d: Invalid shape for pixel coords");g=t.RGBA}}u!==t.FLOAT||t.getExtension("OES_texture_float")||(u=t.UNSIGNED_BYTE,l=!1);var y=e.size;if(l)f=0===e.offset&&e.data.length===y?e.data:e.data.subarray(e.offset,e.offset+y);else{var m=[o[2],o[2]*o[0],1];p=a.malloc(y,r);var x=n(p,o,m,0);"float32"!==r&&"float64"!==r||u!==t.UNSIGNED_BYTE?i.assign(x,e):c(x,e),f=p.subarray(0,y)}var b=v(t);return t.texImage2D(t.TEXTURE_2D,0,g,o[0],o[1],0,g,u,f),l||a.free(p),new h(t,b,o[0],o[1],g,u)}(t,e)}throw new Error("gl-texture2d: Invalid arguments for texture2d constructor")};var o=null,s=null,l=null;function u(t){return"undefined"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||"undefined"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||"undefined"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||"undefined"!=typeof ImageData&&t instanceof ImageData}var c=function(t,e){i.muls(t,e,255)};function f(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error("gl-texture2d: Invalid texture size");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function h(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var p=h.prototype;function d(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function v(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function g(t,e,r,n,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error("gl-texture2d: Invalid texture shape");if(i===t.FLOAT&&!t.getExtension("OES_texture_float"))throw new Error("gl-texture2d: Floating point textures not supported on this platform");var o=v(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new h(t,o,e,r,n,i)}Object.defineProperties(p,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension("OES_texture_float_linear")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error("gl-texture2d: Unknown filter mode "+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension("OES_texture_float_linear")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error("gl-texture2d: Unknown filter mode "+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension("EXT_texture_filter_anisotropic");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error("gl-texture2d: Must specify wrap mode for rows and columns");for(var e=0;e<2;++e)if(l.indexOf(t[e])<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);this._wrapS=t[0],this._wrapT=t[1];var r=this.gl;return this.bind(),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_S,this._wrapS),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_T,this._wrapT),t}},shape:{get:function(){return this._shapeVector},set:function(t){if(Array.isArray(t)){if(2!==t.length)throw new Error("gl-texture2d: Invalid texture shape")}else t=[0|t,0|t];return f(this,0|t[0],0|t[1]),[0|t[0],0|t[1]]}},width:{get:function(){return this._shape[0]},set:function(t){return f(this,t|=0,this._shape[1]),t}},height:{get:function(){return this._shape[1]},set:function(t){return t|=0,f(this,this._shape[0],t),t}}}),p.bind=function(t){var e=this.gl;return void 0!==t&&e.activeTexture(e.TEXTURE0+(0|t)),e.bindTexture(e.TEXTURE_2D,this.handle),void 0!==t?0|t:e.getParameter(e.ACTIVE_TEXTURE)-e.TEXTURE0},p.dispose=function(){this.gl.deleteTexture(this.handle)},p.generateMipmap=function(){this.bind(),this.gl.generateMipmap(this.gl.TEXTURE_2D);for(var t=Math.min(this._shape[0],this._shape[1]),e=0;t>0;++e,t>>>=1)this._mipLevels.indexOf(e)<0&&this._mipLevels.push(e)},p.setPixels=function(t,e,r,o){var s=this.gl;this.bind(),Array.isArray(e)?(o=r,r=0|e[1],e=0|e[0]):(e=e||0,r=r||0),o=o||0;var 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r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=O(a),-1!==a.title.position.indexOf("top")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf("bottom")&&(o.y+=(1+i)*t.r);var l,u=t.r/(void 0===(l=t.trace.aspectratio)?1:l),c=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf("left")?(c+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf("center")?c*=2:-1!==a.title.position.indexOf("right")&&(c+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=c/t.titleBox.width,n=P(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function P(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function O(t){var e,r=t.pull;if(!r)return 0;if(Array.isArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function I(t,e){for(var r=[],n=0;n<t.length;n++){var i=t[n][0],a=i.trace,o=a.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);a.title.text&&"middle center"!==a.title.position&&(l-=P(i,e));var u=s/2,c=l/2;"funnelarea"!==a.type||a.scalegroup||(c/=a.aspectratio),i.r=Math.min(u,c)/(1+O(a)),i.cx=e.l+e.w*(a.domain.x[1]+a.domain.x[0])/2,i.cy=e.t+e.h*(1-a.domain.y[0])-l/2,a.title.text&&-1!==a.title.position.indexOf("bottom")&&(i.cy-=P(i,e)),a.scalegroup&&-1===r.indexOf(a.scalegroup)&&r.push(a.scalegroup)}!function(t,e){for(var r,n,i,a=0;a<e.length;a++){var o=1/0,s=e[a];for(n=0;n<t.length;n++)if((i=(r=t[n][0]).trace).scalegroup===s){var l;if("pie"===i.type)l=r.r*r.r;else if("funnelarea"===i.type){var u,c;i.aspectratio>1?c=(u=r.r)/i.aspectratio:u=(c=r.r)*i.aspectratio,l=(u*=(1+i.baseratio)/2)*c}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if((i=(r=t[n][0]).trace).scalegroup===s){var f=o*r.vTotal;"funnelarea"===i.type&&(f/=(1+i.baseratio)/2,f/=i.aspectratio),r.r=Math.sqrt(f)}}}(t,r)}function D(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function z(t,e,r){var n=t._fullLayout,i=r.trace,a=i.texttemplate,o=i.textinfo;if(!a&&o&&"none"!==o){var s,u=o.split("+"),c=function(t){return-1!==u.indexOf(t)},f=c("label"),h=c("text"),p=c("value"),d=c("percent"),v=n.separators;if(s=f?[e.label]:[],h){var y=g.getFirstFilled(i.text,e.pts);m(y)&&s.push(y)}p&&s.push(g.formatPieValue(e.v,v)),d&&s.push(g.formatPiePercent(e.v/r.vTotal,v)),e.text=s.join("<br>")}if(a){var x=l.castOption(i,e.i,"texttemplate");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:g.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:g.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,"customdata")}}(e),_=g.getFirstFilled(i.text,e.pts);(m(_)||""===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,i._meta||{})}else e.text=""}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}t.exports={plot:function(t,e){var r=t._context.staticPlot,a=t._fullLayout,h=a._size;d("pie",a),_(e,t),I(e,h);var v=l.makeTraceGroups(a._pielayer,e,"trace").each(function(e){var d=n.select(this),v=e[0],y=v.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=g.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,u="px0",c="px1";if("counterclockwise"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,u="px1",c="px0"}for(n=D(a,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[u]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=D(a,s),r.midangle=s,n=D(a,s+=l*r.v/2),r.stopangle=s,r[c]=n,r.largeArc=r.v>i.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),d.attr("stroke-linejoin","round"),d.each(function(){var 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diff --git a/docs/reference/log_breaks.html b/docs/reference/log_breaks.html
index 1f51ebee6..65426a316 100644
--- a/docs/reference/log_breaks.html
+++ b/docs/reference/log_breaks.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Helper function to produce nice breaks on logarithmic axes — log_breaks"><meta name="description" content="This is needed when the logarithmic y-axis spans less than one order of
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Helper function to produce nice breaks on logarithmic axes — log_breaks"><meta name="description" content="This is needed when the logarithmic y-axis spans less than one order of
 magnitude, in which case the ggplot2 default produces no ticks."><meta property="og:description" content="This is needed when the logarithmic y-axis spans less than one order of
 magnitude, in which case the ggplot2 default produces no ticks."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
@@ -15,7 +15,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -36,13 +36,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -52,7 +60,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -101,7 +110,7 @@ <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
     <p>Thanks to Heather Turner at
-https://stackoverflow.com/questions/14255533/pretty-ticks-for-log-normal-scale-using-ggplot2-dynamic-not-manual</p>
+<a href="https://stackoverflow.com/questions/14255533/pretty-ticks-for-log-normal-scale-using-ggplot2-dynamic-not-manual" class="external-link">https://stackoverflow.com/questions/14255533/pretty-ticks-for-log-normal-scale-using-ggplot2-dynamic-not-manual</a></p>
     </div>
 
   </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
diff --git a/docs/reference/lognormal_pred_kernel.html b/docs/reference/lognormal_pred_kernel.html
index e4b771338..a916652ff 100644
--- a/docs/reference/lognormal_pred_kernel.html
+++ b/docs/reference/lognormal_pred_kernel.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Lognormal predation kernel — lognormal_pred_kernel"><meta name="description" content="This is the most commonly-used predation kernel. The log of the predator/prey
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Lognormal predation kernel — lognormal_pred_kernel"><meta name="description" content="This is the most commonly-used predation kernel. The log of the predator/prey
 mass ratio is normally distributed."><meta property="og:description" content="This is the most commonly-used predation kernel. The log of the predator/prey
 mass ratio is normally distributed."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
@@ -15,7 +15,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -36,13 +36,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -52,7 +60,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -132,12 +141,12 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
     <div class="section level2">
     <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="va">params</span> <span class="op">&lt;-</span> <span class="va">NS_params</span></span></span>
-<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span><span class="fu"><a href="w.html">w_full</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span>, <span class="fu"><a href="setPredKernel.html">getPredKernel</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span><span class="op">[</span><span class="st">"Cod"</span>, <span class="fl">10</span>, <span class="op">]</span>, type<span class="op">=</span><span class="st">"l"</span>, log<span class="op">=</span><span class="st">"x"</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="fu"><a href="plot.html">plot</a></span><span class="op">(</span><span class="fu"><a href="w.html">w_full</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span>, <span class="fu"><a href="setPredKernel.html">getPredKernel</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span><span class="op">[</span><span class="st">"Cod"</span>, <span class="fl">10</span>, <span class="op">]</span>, type<span class="op">=</span><span class="st">"l"</span>, log<span class="op">=</span><span class="st">"x"</span><span class="op">)</span></span></span>
 <span class="r-plt img"><img src="lognormal_pred_kernel-1.png" alt="" width="700" height="433"></span>
 <span class="r-in"><span><span class="co"># The restriction that the kernel is zero for w/w_p &lt; 1 is more</span></span></span>
 <span class="r-in"><span><span class="co"># noticeable for larger sigma</span></span></span>
 <span class="r-in"><span><span class="fu"><a href="species_params.html">species_params</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span><span class="op">$</span><span class="va">sigma</span> <span class="op">&lt;-</span> <span class="fl">4</span></span></span>
-<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span><span class="fu"><a href="w.html">w_full</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span>, <span class="fu"><a href="setPredKernel.html">getPredKernel</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span><span class="op">[</span><span class="st">"Cod"</span>, <span class="fl">10</span>, <span class="op">]</span>, type<span class="op">=</span><span class="st">"l"</span>, log<span class="op">=</span><span class="st">"x"</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="fu"><a href="plot.html">plot</a></span><span class="op">(</span><span class="fu"><a href="w.html">w_full</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span>, <span class="fu"><a href="setPredKernel.html">getPredKernel</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span><span class="op">[</span><span class="st">"Cod"</span>, <span class="fl">10</span>, <span class="op">]</span>, type<span class="op">=</span><span class="st">"l"</span>, log<span class="op">=</span><span class="st">"x"</span><span class="op">)</span></span></span>
 <span class="r-plt img"><img src="lognormal_pred_kernel-2.png" alt="" width="700" height="433"></span>
 </code></pre></div>
     </div>
diff --git a/docs/reference/markBackground.html b/docs/reference/markBackground.html
new file mode 100644
index 000000000..57030cce3
--- /dev/null
+++ b/docs/reference/markBackground.html
@@ -0,0 +1,161 @@
+<!DOCTYPE html>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en-GB"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Designate species as background species — markBackground • mizer</title><!-- favicons --><link rel="icon" type="image/png" sizes="96x96" href="../favicon-96x96.png"><link rel="icon" type="”image/svg+xml”" href="../favicon.svg"><link rel="apple-touch-icon" sizes="180x180" href="../apple-touch-icon.png"><link rel="icon" sizes="any" href="../favicon.ico"><link rel="manifest" href="../site.webmanifest"><!-- mathjax math --><script src="https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/tex-mml-chtml.js" integrity="sha256-MASABpB4tYktI2Oitl4t+78w/lyA+D7b/s9GEP0JOGI=" crossorigin="anonymous"></script><script>
+  window.MathJax = {
+    chtml: {
+      fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
+    }
+  };
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Designate species as background species — markBackground"><meta name="description" content="Marks the specified set of species as background species by setting the
+is_background column in their species parameters to TRUE. Background
+species are handled differently in plots (displayed in grey) and their
+abundances can be automatically adjusted to keep the community close to the
+Sheldon spectrum (see adjustBackgroundSpecies() in the mizerExperimental
+package)."><meta property="og:description" content="Marks the specified set of species as background species by setting the
+is_background column in their species parameters to TRUE. Background
+species are handled differently in plots (displayed in grey) and their
+abundances can be automatically adjusted to keep the community close to the
+Sheldon spectrum (see adjustBackgroundSpecies() in the mizerExperimental
+package)."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
+    <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
+
+
+    <nav class="navbar navbar-expand-lg fixed-top " aria-label="Site navigation"><div class="container">
+
+    <a class="navbar-brand me-2" href="../index.html">mizer</a>
+
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
+
+
+    <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
+      <span class="navbar-toggler-icon"></span>
+    </button>
+
+    <div id="navbar" class="collapse navbar-collapse ms-3">
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/mizer.html">Get started</a></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://mizer.course.sizespectrum.org">Course</a></li>
+<li class="nav-item dropdown">
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/model_description.html">The General Mizer Size-spectrum Model</a></li>
+    <li><hr class="dropdown-divider"></li>
+    <li><h6 class="dropdown-header" data-toc-skip>Tutorials</h6></li>
+    <li><a class="dropdown-item" href="../articles/single_species_size-spectrum_dynamics.html">Single-species size-spectrum dynamics</a></li>
+    <li><a class="dropdown-item" href="../articles/community_model.html">The Community Model</a></li>
+    <li><a class="dropdown-item" href="../articles/trait_model.html">The Trait-Based Model</a></li>
+    <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
+    <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
+    <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
+    <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
+    <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
+    <li><hr class="dropdown-divider"></li>
+    <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
+    <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
+    <li><hr class="dropdown-divider"></li>
+    <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
+    <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
+    <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
+    <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
+    <li><a class="dropdown-item" href="../articles/editing_website.html">Editing the Mizer Website</a></li>
+    <li><hr class="dropdown-divider"></li>
+    <li><a class="dropdown-item" href="../articles/index.html">More articles...</a></li>
+  </ul></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/sizespectrum/mizer/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
+<li class="nav-item dropdown">
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-lightswitch" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true" aria-label="Light switch"><span class="fa fa-sun"></span></button>
+  <ul class="dropdown-menu dropdown-menu-end" aria-labelledby="dropdown-lightswitch"><li><button class="dropdown-item" data-bs-theme-value="light"><span class="fa fa-sun"></span> Light</button></li>
+    <li><button class="dropdown-item" data-bs-theme-value="dark"><span class="fa fa-moon"></span> Dark</button></li>
+    <li><button class="dropdown-item" data-bs-theme-value="auto"><span class="fa fa-adjust"></span> Auto</button></li>
+  </ul></li>
+      </ul></div>
+
+
+  </div>
+</nav><div class="container template-reference-topic">
+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Designate species as background species</h1>
+      <small class="dont-index">Source: <a href="https://github.com/sizespectrum/mizer/blob/HEAD/R/background.R" class="external-link"><code>R/background.R</code></a></small>
+      <div class="d-none name"><code>markBackground.Rd</code></div>
+    </div>
+
+    <div class="ref-description section level2">
+    <p>Marks the specified set of species as background species by setting the
+<code>is_background</code> column in their species parameters to <code>TRUE</code>. Background
+species are handled differently in plots (displayed in grey) and their
+abundances can be automatically adjusted to keep the community close to the
+Sheldon spectrum (see <code>adjustBackgroundSpecies()</code> in the mizerExperimental
+package).</p>
+    </div>
+
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">markBackground</span><span class="op">(</span><span class="va">object</span>, species <span class="op">=</span> <span class="cn">NULL</span><span class="op">)</span></span></code></pre></div>
+    </div>
+
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-object">object<a class="anchor" aria-label="anchor" href="#arg-object"></a></dt>
+<dd><p>An object of class <a href="MizerParams-class.html">MizerParams</a> or
+<a href="MizerSim-class.html">MizerSim</a>.</p></dd>
+
+
+<dt id="arg-species">species<a class="anchor" aria-label="anchor" href="#arg-species"></a></dt>
+<dd><p>The species to be selected. Optional. By default all target
+species are selected. A vector of species names, or a
+numeric vector with the species indices, or a logical vector indicating for
+each species whether it is to be selected (TRUE) or not.</p></dd>
+
+</dl></div>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p>An object of the same class as the <code>object</code> argument</p>
+    </div>
+    <div class="section level2">
+    <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
+    <div class="dont-index"><p><code><a href="removeBackgroundSpecies.html">removeBackgroundSpecies()</a></code></p></div>
+    </div>
+
+    <div class="section level2">
+    <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="va">params</span> <span class="op">&lt;-</span> <span class="fu">markBackground</span><span class="op">(</span><span class="va">NS_params</span>,</span></span>
+<span class="r-in"><span>                         species <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"Sprat"</span>, <span class="st">"Sandeel"</span>, <span class="st">"N.pout"</span><span class="op">)</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/any.html" class="external-link">any</a></span><span class="op">(</span><span class="fu"><a href="species_params.html">species_params</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span><span class="op">$</span><span class="va">is_background</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [1] TRUE</span>
+</code></pre></div>
+    </div>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside></div>
+
+
+    <footer><div class="pkgdown-footer-left">
+  <p>Developed by <a href="https://www.york.ac.uk/maths/staff/gustav-delius/" class="external-link">Gustav Delius</a>, Finlay Scott, <a href="http://www.utas.edu.au/profiles/staff/imas/julia-blanchard" class="external-link">Julia Blanchard</a>, <a href="https://ken.haste.dk/" class="external-link">Ken Andersen</a>.</p>
+</div>
+
+<div class="pkgdown-footer-right">
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
+</div>
+
+    </footer></div>
+
+
+
+
+
+  </body></html>
+
diff --git a/docs/reference/matchBiomasses-1.png b/docs/reference/matchBiomasses-1.png
index a54f6befb..45b746e26 100644
Binary files a/docs/reference/matchBiomasses-1.png and b/docs/reference/matchBiomasses-1.png differ
diff --git a/docs/reference/matchBiomasses.html b/docs/reference/matchBiomasses.html
index e9691f643..2f87d7825 100644
--- a/docs/reference/matchBiomasses.html
+++ b/docs/reference/matchBiomasses.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Match biomasses to observations — matchBiomasses"><meta name="description" content="
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Match biomasses to observations — matchBiomasses"><meta name="description" content="
 The function adjusts the abundances of the species in the model so that their
 biomasses match with observations."><meta property="og:description" content="
 The function adjusts the abundances of the species in the model so that their
@@ -17,7 +17,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -38,13 +38,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -54,7 +62,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -85,7 +94,7 @@
 
     <div class="section level2">
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">matchBiomasses</span><span class="op">(</span><span class="va">params</span>, species <span class="op">=</span> <span class="cn">NULL</span><span class="op">)</span></span></code></pre></div>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">matchBiomasses</span><span class="op">(</span><span class="va">params</span>, species <span class="op">=</span> <span class="cn">NULL</span>, info_level <span class="op">=</span> <span class="fl">3</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
     </div>
 
     <div class="section level2">
@@ -102,6 +111,15 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 with the species indices, or a logical vector indicating for each species
 whether it is to be affected (TRUE) or not.</p></dd>
 
+
+<dt id="arg-info-level">info_level<a class="anchor" aria-label="anchor" href="#arg-info-level"></a></dt>
+<dd><p>Controls the amount of information messages that are shown.
+Higher levels lead to more messages.</p></dd>
+
+
+<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
+<dd><p>Additional arguments passed to the method.</p></dd>
+
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
@@ -115,7 +133,7 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
 So after using this function you may want to use <code><a href="steady.html">steady()</a></code> to run the model
 to steady state, after which of course the biomasses will no longer match
 exactly. You could then iterate this process. This is described in the
-blog post at https://bit.ly/2YqXESV.</p>
+blog post at <a href="https://bit.ly/2YqXESV" class="external-link">https://bit.ly/2YqXESV</a>.</p>
 <p>Before you can use this function you will need to have added a
 <code>biomass_observed</code> column to your model which gives the observed biomass in
 grams.  For species for which you have no observed biomass, you should set
diff --git a/docs/reference/matchGrowth.html b/docs/reference/matchGrowth.html
index 91729c450..0a202e270 100644
--- a/docs/reference/matchGrowth.html
+++ b/docs/reference/matchGrowth.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Adjust model to produce observed growth — matchGrowth"><meta name="description" content="Scales the search volume, the maximum consumption rate, the metabolic rate
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Adjust model to produce observed growth — matchGrowth"><meta name="description" content="Scales the search volume, the maximum consumption rate, the metabolic rate
 and the external encounter rate
 all by the same factor in order to achieve a growth rate that allows
 individuals to reach their maturity size by their maturity age while keeping
@@ -23,7 +23,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -44,13 +44,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -60,7 +68,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -94,7 +103,7 @@
 
     <div class="section level2">
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">matchGrowth</span><span class="op">(</span><span class="va">params</span>, species <span class="op">=</span> <span class="cn">NULL</span>, keep <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"egg"</span>, <span class="st">"biomass"</span>, <span class="st">"number"</span><span class="op">)</span><span class="op">)</span></span></code></pre></div>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">matchGrowth</span><span class="op">(</span><span class="va">params</span>, species <span class="op">=</span> <span class="cn">NULL</span>, keep <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"egg"</span>, <span class="st">"biomass"</span>, <span class="st">"number"</span><span class="op">)</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
     </div>
 
     <div class="section level2">
@@ -119,6 +128,10 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 keeps the total biomass of the species constant and "number" which keeps
 the total number of individuals constant.</p></dd>
 
+
+<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
+<dd><p>Additional arguments passed to the method.</p></dd>
+
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
diff --git a/docs/reference/matchNumbers.html b/docs/reference/matchNumbers.html
index e92487496..cce6912c2 100644
--- a/docs/reference/matchNumbers.html
+++ b/docs/reference/matchNumbers.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Match numbers to observations — matchNumbers"><meta name="description" content="
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Match numbers to observations — matchNumbers"><meta name="description" content="
 The function adjusts the numbers of the species in the model so that their
 numbers match with observations."><meta property="og:description" content="
 The function adjusts the numbers of the species in the model so that their
@@ -17,7 +17,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -38,13 +38,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -54,7 +62,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -85,7 +94,7 @@
 
     <div class="section level2">
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">matchNumbers</span><span class="op">(</span><span class="va">params</span>, species <span class="op">=</span> <span class="cn">NULL</span><span class="op">)</span></span></code></pre></div>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">matchNumbers</span><span class="op">(</span><span class="va">params</span>, species <span class="op">=</span> <span class="cn">NULL</span>, info_level <span class="op">=</span> <span class="fl">3</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
     </div>
 
     <div class="section level2">
@@ -102,6 +111,15 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 with the species indices, or a logical vector indicating for each species
 whether it is to be affected (TRUE) or not.</p></dd>
 
+
+<dt id="arg-info-level">info_level<a class="anchor" aria-label="anchor" href="#arg-info-level"></a></dt>
+<dd><p>Controls the amount of information messages that are shown.
+Higher levels lead to more messages.</p></dd>
+
+
+<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
+<dd><p>Additional arguments passed to the method.</p></dd>
+
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
@@ -115,10 +133,10 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
 So after using this function you may want to use <code><a href="steady.html">steady()</a></code> to run the model
 to steady state, after which of course the numbers will no longer match
 exactly. You could then iterate this process. This is described in the
-blog post at https://bit.ly/2YqXESV.</p>
+blog post at <a href="https://bit.ly/2YqXESV" class="external-link">https://bit.ly/2YqXESV</a>.</p>
 <p>Before you can use this function you will need to have added a
-<code>number_observed</code> column to your model which gives the observed number in
-grams.  For species for which you have no observed number, you should set
+<code>number_observed</code> column to your model which gives the observed number of
+individuals. For species for which you have no observed number, you should set
 the value in the <code>number_observed</code> column to 0 or NA.</p>
 <p>Number observations usually only include individuals above a certain size.
 This size should be specified in a <code>number_cutoff</code> column of the species
diff --git a/docs/reference/matchYields-1.png b/docs/reference/matchYields-1.png
index 1b00dd7fc..5d2e26fb0 100644
Binary files a/docs/reference/matchYields-1.png and b/docs/reference/matchYields-1.png differ
diff --git a/docs/reference/matchYields.html b/docs/reference/matchYields.html
index 5111346a9..3175b7927 100644
--- a/docs/reference/matchYields.html
+++ b/docs/reference/matchYields.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Match yields to observations — matchYields"><meta name="description" content="
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Match yields to observations — matchYields"><meta name="description" content="
 This function has been deprecated and will be removed in the future unless
 you have a use case for it. If you do have a use case for it, please let the
 developers know by creating an issue at
@@ -21,7 +21,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -42,13 +42,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -58,7 +66,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -91,7 +100,7 @@
 
     <div class="section level2">
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">matchYields</span><span class="op">(</span><span class="va">params</span>, species <span class="op">=</span> <span class="cn">NULL</span><span class="op">)</span></span></code></pre></div>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">matchYields</span><span class="op">(</span><span class="va">params</span>, species <span class="op">=</span> <span class="cn">NULL</span>, info_level <span class="op">=</span> <span class="fl">3</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
     </div>
 
     <div class="section level2">
@@ -108,6 +117,15 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 with the species indices, or a logical vector indicating for each species
 whether it is to be affected (TRUE) or not.</p></dd>
 
+
+<dt id="arg-info-level">info_level<a class="anchor" aria-label="anchor" href="#arg-info-level"></a></dt>
+<dd><p>Controls the amount of information messages that are shown.
+Higher levels lead to more messages.</p></dd>
+
+
+<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
+<dd><p>Additional arguments passed to the method.</p></dd>
+
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
@@ -127,7 +145,7 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
 So after using this function you may want to use <code><a href="steady.html">steady()</a></code> to run the model
 to steady state, after which of course the yields will no longer match
 exactly. You could then iterate this process. This is described in the
-blog post at https://bit.ly/2YqXESV.</p>
+blog post at <a href="https://bit.ly/2YqXESV" class="external-link">https://bit.ly/2YqXESV</a>.</p>
 <p>Before you can use this function you will need to have added a
 <code>yield_observed</code> column to your model which gives the observed yields in
 grams per year.  For species for which you have no observed biomass, you
diff --git a/docs/reference/mizer-package.html b/docs/reference/mizer-package.html
index dff8ff646..2d68ec2fd 100644
--- a/docs/reference/mizer-package.html
+++ b/docs/reference/mizer-package.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="mizer: Multi-species size-based modelling in R — mizer-package"><meta name="description" content="The mizer package implements multi-species size-based modelling in R. It has
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="mizer: Multi-species size-based modelling in R — mizer-package"><meta name="description" content="The mizer package implements multi-species size-based modelling in R. It has
 been designed for modelling marine ecosystems."><meta property="og:description" content="The mizer package implements multi-species size-based modelling in R. It has
 been designed for modelling marine ecosystems."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
@@ -15,7 +15,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -36,13 +36,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -52,7 +60,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -112,7 +121,8 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
     <div class="section level2">
     <h2 id="author">Author<a class="anchor" aria-label="anchor" href="#author"></a></h2>
     <p><strong>Maintainer</strong>: Gustav Delius <a href="mailto:gustav.delius@york.ac.uk">gustav.delius@york.ac.uk</a> (<a href="https://orcid.org/0000-0003-4092-8228" class="external-link">ORCID</a>) [copyright holder]</p>
-<p>Authors:</p><ul><li><p>Finlay Scott <a href="mailto:drfinlayscott@gmail.com">drfinlayscott@gmail.com</a> [copyright holder]</p></li>
+<p>Authors:</p><ul><li><p>Gustav Delius <a href="mailto:gustav.delius@york.ac.uk">gustav.delius@york.ac.uk</a> (<a href="https://orcid.org/0000-0003-4092-8228" class="external-link">ORCID</a>) [copyright holder]</p></li>
+<li><p>Finlay Scott <a href="mailto:drfinlayscott@gmail.com">drfinlayscott@gmail.com</a> [copyright holder]</p></li>
 <li><p>Julia Blanchard <a href="mailto:julia.blanchard@utas.edu.au">julia.blanchard@utas.edu.au</a> (<a href="https://orcid.org/0000-0003-0532-4824" class="external-link">ORCID</a>) [copyright holder]</p></li>
 <li><p>Ken Andersen <a href="mailto:kha@aqua.dtu.dk">kha@aqua.dtu.dk</a> (<a href="https://orcid.org/0000-0002-8478-3430" class="external-link">ORCID</a>) [copyright holder]</p></li>
 </ul><p>Other contributors:</p><ul><li><p>Richard Southwell <a href="mailto:richard.southwell@york.ac.uk">richard.southwell@york.ac.uk</a> [contributor, copyright holder]</p></li>
diff --git a/docs/reference/mizerDiffusion.html b/docs/reference/mizerDiffusion.html
new file mode 100644
index 000000000..530ad87ee
--- /dev/null
+++ b/docs/reference/mizerDiffusion.html
@@ -0,0 +1,181 @@
+<!DOCTYPE html>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en-GB"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Calculate diffusion rate — mizerDiffusion • mizer</title><!-- favicons --><link rel="icon" type="image/png" sizes="96x96" href="../favicon-96x96.png"><link rel="icon" type="”image/svg+xml”" href="../favicon.svg"><link rel="apple-touch-icon" sizes="180x180" href="../apple-touch-icon.png"><link rel="icon" sizes="any" href="../favicon.ico"><link rel="manifest" href="../site.webmanifest"><!-- mathjax math --><script src="https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/tex-mml-chtml.js" integrity="sha256-MASABpB4tYktI2Oitl4t+78w/lyA+D7b/s9GEP0JOGI=" crossorigin="anonymous"></script><script>
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+This diffusion rate has two components:
+Thethe diffusion due due to the variability in prey sizes. This is the
+diffusion term from the jump-growth equation.
+Any externally specified diffusion, which is added via setExtDiffusion()
+
+
+You would not usually call this function directly but instead use
+getDiffusion(), which then calls this function unless an alternative
+diffusion rate function has been registered, see setRateFunction()."><meta property="og:description" content="Calculates the diffusion rate \(D_i(w)\) (grams^2/year) for each species.
+This diffusion rate has two components:
+Thethe diffusion due due to the variability in prey sizes. This is the
+diffusion term from the jump-growth equation.
+Any externally specified diffusion, which is added via setExtDiffusion()
+
+
+You would not usually call this function directly but instead use
+getDiffusion(), which then calls this function unless an alternative
+diffusion rate function has been registered, see setRateFunction()."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
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+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/model_description.html">The General Mizer Size-spectrum Model</a></li>
+    <li><hr class="dropdown-divider"></li>
+    <li><h6 class="dropdown-header" data-toc-skip>Tutorials</h6></li>
+    <li><a class="dropdown-item" href="../articles/single_species_size-spectrum_dynamics.html">Single-species size-spectrum dynamics</a></li>
+    <li><a class="dropdown-item" href="../articles/community_model.html">The Community Model</a></li>
+    <li><a class="dropdown-item" href="../articles/trait_model.html">The Trait-Based Model</a></li>
+    <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
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+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
+    <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
+    <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
+    <li><hr class="dropdown-divider"></li>
+    <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
+    <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
+    <li><hr class="dropdown-divider"></li>
+    <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
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+    <li><a class="dropdown-item" href="../articles/index.html">More articles...</a></li>
+  </ul></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
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+</nav><div class="container template-reference-topic">
+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Calculate diffusion rate</h1>
+      <small class="dont-index">Source: <a href="https://github.com/sizespectrum/mizer/blob/HEAD/R/diffusion.R" class="external-link"><code>R/diffusion.R</code></a></small>
+      <div class="d-none name"><code>mizerDiffusion.Rd</code></div>
+    </div>
+
+    <div class="ref-description section level2">
+    <p>Calculates the diffusion rate \(D_i(w)\) (grams^2/year) for each species.
+This diffusion rate has two components:</p><ol><li><p>Thethe diffusion due due to the variability in prey sizes. This is the
+diffusion term from the jump-growth equation.</p></li>
+<li><p>Any externally specified diffusion, which is added via <code><a href="setExtDiffusion.html">setExtDiffusion()</a></code></p></li>
+</ol><p>You would not usually call this function directly but instead use
+<code><a href="getDiffusion.html">getDiffusion()</a></code>, which then calls this function unless an alternative
+diffusion rate function has been registered, see <code><a href="setRateFunction.html">setRateFunction()</a></code>.</p>
+    </div>
+
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">projectDiffusion</span><span class="op">(</span><span class="va">params</span>, <span class="va">n</span>, <span class="va">n_pp</span>, <span class="va">n_other</span>, t <span class="op">=</span> <span class="fl">0</span>, <span class="va">feeding_level</span>, <span class="va">...</span><span class="op">)</span></span>
+<span></span>
+<span><span class="co"># S3 method for class 'MizerParams'</span></span>
+<span><span class="fu">projectDiffusion</span><span class="op">(</span><span class="va">params</span>, <span class="va">n</span>, <span class="va">n_pp</span>, <span class="va">n_other</span>, t <span class="op">=</span> <span class="fl">0</span>, <span class="va">feeding_level</span>, <span class="va">...</span><span class="op">)</span></span>
+<span></span>
+<span><span class="fu">mizerDiffusion</span><span class="op">(</span><span class="va">params</span>, <span class="va">n</span>, <span class="va">n_pp</span>, <span class="va">n_other</span>, t <span class="op">=</span> <span class="fl">0</span>, <span class="va">feeding_level</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
+    </div>
+
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-params">params<a class="anchor" aria-label="anchor" href="#arg-params"></a></dt>
+<dd><p>A MizerParams object</p></dd>
+
+
+<dt id="arg-n">n<a class="anchor" aria-label="anchor" href="#arg-n"></a></dt>
+<dd><p>A matrix of species abundances (species x size).</p></dd>
+
+
+<dt id="arg-n-pp">n_pp<a class="anchor" aria-label="anchor" href="#arg-n-pp"></a></dt>
+<dd><p>A vector of the resource abundance by size</p></dd>
+
+
+<dt id="arg-n-other">n_other<a class="anchor" aria-label="anchor" href="#arg-n-other"></a></dt>
+<dd><p>A list of abundances for other dynamical components</p></dd>
+
+
+<dt id="arg-t">t<a class="anchor" aria-label="anchor" href="#arg-t"></a></dt>
+<dd><p>The time for which to do the calculation (Not used by standard
+mizer rate functions but useful for extensions.)</p></dd>
+
+
+<dt id="arg-feeding-level">feeding_level<a class="anchor" aria-label="anchor" href="#arg-feeding-level"></a></dt>
+<dd><p>An array (species x size) with the feeding level.
+If not provided, it is calculated from the given abundances.</p></dd>
+
+
+<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
+<dd><p>Unused</p></dd>
+
+</dl></div>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p>A two dimensional array (species x size) holding the diffusion rate.</p>
+    </div>
+
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside></div>
+
+
+    <footer><div class="pkgdown-footer-left">
+  <p>Developed by <a href="https://www.york.ac.uk/maths/staff/gustav-delius/" class="external-link">Gustav Delius</a>, Finlay Scott, <a href="http://www.utas.edu.au/profiles/staff/imas/julia-blanchard" class="external-link">Julia Blanchard</a>, <a href="https://ken.haste.dk/" class="external-link">Ken Andersen</a>.</p>
+</div>
+
+<div class="pkgdown-footer-right">
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
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+
+
+
+
+
+  </body></html>
+
diff --git a/docs/reference/mizerEGrowth.html b/docs/reference/mizerEGrowth.html
index 3dceda07e..3724c5b66 100644
--- a/docs/reference/mizerEGrowth.html
+++ b/docs/reference/mizerEGrowth.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get energy rate available for growth needed to project standard mizer model — mizerEGrowth"><meta name="description" content="Calculates the energy rate \(g_i(w)\) (grams/year) available by species and
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get energy rate available for growth needed to project standard mizer model — mizerEGrowth"><meta name="description" content="Calculates the energy rate \(g_i(w)\) (grams/year) available by species and
 size for growth after metabolism, movement and reproduction have been
 accounted for. Used by project() for performing simulations.
 You would not usually call this
@@ -23,7 +23,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -44,13 +44,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -60,7 +68,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -94,7 +103,12 @@
 
     <div class="section level2">
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">mizerEGrowth</span><span class="op">(</span><span class="va">params</span>, <span class="va">n</span>, <span class="va">n_pp</span>, <span class="va">n_other</span>, <span class="va">t</span>, <span class="va">e_repro</span>, <span class="va">e</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">projectEGrowth</span><span class="op">(</span><span class="va">params</span>, <span class="va">n</span>, <span class="va">n_pp</span>, <span class="va">n_other</span>, t <span class="op">=</span> <span class="fl">0</span>, <span class="va">e_repro</span>, <span class="va">e</span>, <span class="va">...</span><span class="op">)</span></span>
+<span></span>
+<span><span class="co"># S3 method for class 'MizerParams'</span></span>
+<span><span class="fu">projectEGrowth</span><span class="op">(</span><span class="va">params</span>, <span class="va">n</span>, <span class="va">n_pp</span>, <span class="va">n_other</span>, t <span class="op">=</span> <span class="fl">0</span>, <span class="va">e_repro</span>, <span class="va">e</span>, <span class="va">...</span><span class="op">)</span></span>
+<span></span>
+<span><span class="fu">mizerEGrowth</span><span class="op">(</span><span class="va">params</span>, <span class="va">n</span>, <span class="va">n_pp</span>, <span class="va">n_other</span>, t <span class="op">=</span> <span class="fl">0</span>, <span class="va">e_repro</span>, <span class="va">e</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
     </div>
 
     <div class="section level2">
@@ -141,6 +155,13 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
     <p>A two dimensional array (species x size) with the growth rates.</p>
+    </div>
+    <div class="section level2">
+    <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
+    <p>The growth rate is calculated as the difference between the energy available
+for reproduction and growth (obtainable with <code><a href="getEReproAndGrowth.html">getEReproAndGrowth()</a></code>) and
+the energy used for reproduction (obtainable with <code><a href="getERepro.html">getERepro()</a></code>), but is
+set to 0 if the result would be negative.</p>
     </div>
     <div class="section level2">
     <h2 id="your-own-growth-rate-function">Your own growth rate function<a class="anchor" aria-label="anchor" href="#your-own-growth-rate-function"></a></h2>
diff --git a/docs/reference/mizerERepro.html b/docs/reference/mizerERepro.html
index 1d60d4195..825eb344e 100644
--- a/docs/reference/mizerERepro.html
+++ b/docs/reference/mizerERepro.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get energy rate available for reproduction needed to project standard mizer model — mizerERepro"><meta name="description" content="Calculates the energy rate (grams/year) available for reproduction after
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get energy rate available for reproduction needed to project standard mizer model — mizerERepro"><meta name="description" content="Calculates the energy rate (grams/year) available for reproduction after
 growth and metabolism have been accounted for.
 You would not usually call this
 function directly but instead use getERepro(), which then calls this
@@ -21,7 +21,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -42,13 +42,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -58,7 +66,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -91,7 +100,12 @@
 
     <div class="section level2">
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">mizerERepro</span><span class="op">(</span><span class="va">params</span>, <span class="va">n</span>, <span class="va">n_pp</span>, <span class="va">n_other</span>, <span class="va">t</span>, <span class="va">e</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">projectERepro</span><span class="op">(</span><span class="va">params</span>, <span class="va">n</span>, <span class="va">n_pp</span>, <span class="va">n_other</span>, t <span class="op">=</span> <span class="fl">0</span>, <span class="va">e</span>, <span class="va">...</span><span class="op">)</span></span>
+<span></span>
+<span><span class="co"># S3 method for class 'MizerParams'</span></span>
+<span><span class="fu">projectERepro</span><span class="op">(</span><span class="va">params</span>, <span class="va">n</span>, <span class="va">n_pp</span>, <span class="va">n_other</span>, t <span class="op">=</span> <span class="fl">0</span>, <span class="va">e</span>, <span class="va">...</span><span class="op">)</span></span>
+<span></span>
+<span><span class="fu">mizerERepro</span><span class="op">(</span><span class="va">params</span>, <span class="va">n</span>, <span class="va">n_pp</span>, <span class="va">n_other</span>, t <span class="op">=</span> <span class="fl">0</span>, <span class="va">e</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
     </div>
 
     <div class="section level2">
@@ -133,12 +147,13 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
     <p>A two dimensional array (species x size) holding
-$$\psi_i(w)E_{r.i}(w)$$
+$$\psi_i(w)\max(0, E_{r.i}(w))$$
 where \(E_{r.i}(w)\) is the rate at which energy becomes available for
 growth and reproduction, calculated with <code><a href="mizerEReproAndGrowth.html">mizerEReproAndGrowth()</a></code>,
 and \(\psi_i(w)\) is the proportion of this energy that is used for
-reproduction. This proportion is taken from the <code>params</code> object and is
-set with <code><a href="setReproduction.html">setReproduction()</a></code>.</p>
+reproduction. Negative entries in <code>e</code> are clipped to 0 before multiplying by
+\(\psi_i(w)\). This proportion is taken from the <code>params</code> object and is set
+with <code><a href="setReproduction.html">setReproduction()</a></code>.</p>
     </div>
     <div class="section level2">
     <h2 id="your-own-reproduction-rate-function">Your own reproduction rate function<a class="anchor" aria-label="anchor" href="#your-own-reproduction-rate-function"></a></h2>
diff --git a/docs/reference/mizerEReproAndGrowth.html b/docs/reference/mizerEReproAndGrowth.html
index 9ef35d263..0b5c9484b 100644
--- a/docs/reference/mizerEReproAndGrowth.html
+++ b/docs/reference/mizerEReproAndGrowth.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get energy rate available for reproduction and growth needed to project standard mizer model — mizerEReproAndGrowth"><meta name="description" content="Calculates the energy rate
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get energy rate available for reproduction and growth needed to project standard mizer model — mizerEReproAndGrowth"><meta name="description" content="Calculates the energy rate
 \(E_{r.i}(w)\) (grams/year) available to an
 individual of species i and size w for reproduction and growth after
 metabolism and movement have been accounted for.
@@ -25,7 +25,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -46,13 +46,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -62,7 +70,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -97,12 +106,35 @@
 
     <div class="section level2">
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">mizerEReproAndGrowth</span><span class="op">(</span></span>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">projectEReproAndGrowth</span><span class="op">(</span></span>
 <span>  <span class="va">params</span>,</span>
 <span>  <span class="va">n</span>,</span>
 <span>  <span class="va">n_pp</span>,</span>
 <span>  <span class="va">n_other</span>,</span>
-<span>  <span class="va">t</span>,</span>
+<span>  t <span class="op">=</span> <span class="fl">0</span>,</span>
+<span>  <span class="va">encounter</span>,</span>
+<span>  <span class="va">feeding_level</span>,</span>
+<span>  <span class="va">...</span></span>
+<span><span class="op">)</span></span>
+<span></span>
+<span><span class="co"># S3 method for class 'MizerParams'</span></span>
+<span><span class="fu">projectEReproAndGrowth</span><span class="op">(</span></span>
+<span>  <span class="va">params</span>,</span>
+<span>  <span class="va">n</span>,</span>
+<span>  <span class="va">n_pp</span>,</span>
+<span>  <span class="va">n_other</span>,</span>
+<span>  t <span class="op">=</span> <span class="fl">0</span>,</span>
+<span>  <span class="va">encounter</span>,</span>
+<span>  <span class="va">feeding_level</span>,</span>
+<span>  <span class="va">...</span></span>
+<span><span class="op">)</span></span>
+<span></span>
+<span><span class="fu">mizerEReproAndGrowth</span><span class="op">(</span></span>
+<span>  <span class="va">params</span>,</span>
+<span>  <span class="va">n</span>,</span>
+<span>  <span class="va">n_pp</span>,</span>
+<span>  <span class="va">n_other</span>,</span>
+<span>  t <span class="op">=</span> <span class="fl">0</span>,</span>
 <span>  <span class="va">encounter</span>,</span>
 <span>  <span class="va">feeding_level</span>,</span>
 <span>  <span class="va">...</span></span>
@@ -153,12 +185,12 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
     <p>A two dimensional array (species x size) holding
-$$E_{r.i}(w) = \max(0, \alpha_i\, (1 - {\tt feeding\_level}_i(w))\,
-                           {\tt encounter}_i(w) - {\tt metab}_i(w)).$$
+$$E_{r.i}(w) = \alpha_i\, (1 - {\tt feeding\_level}_i(w))\,
+                           {\tt encounter}_i(w) - {\tt metab}_i(w).$$
 Due to the form of the feeding level, calculated by
 <code><a href="getFeedingLevel.html">getFeedingLevel()</a></code>, if the feeding level is nonzero this can also be expressed as
-$$E_{r.i}(w) = \max(0, \alpha_i\, {\tt feeding\_level}_i(w)\,
-                           h_i(w) - {\tt metab}_i(w))$$
+$$E_{r.i}(w) = \alpha_i\, {\tt feeding\_level}_i(w)\,
+                           h_i(w) - {\tt metab}_i(w)$$
 where \(h_i\) is the maximum intake rate, set with
 <code><a href="setMaxIntakeRate.html">setMaxIntakeRate()</a></code>. However this function is using the first equation
 above so that it works also when the maximum intake rate is infinite, i.e.,
diff --git a/docs/reference/mizerEncounter.html b/docs/reference/mizerEncounter.html
index 75e58c05c..91ae32f21 100644
--- a/docs/reference/mizerEncounter.html
+++ b/docs/reference/mizerEncounter.html
@@ -1,11 +1,11 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en-GB"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Get encounter rate needed to project standard mizer model — mizerEncounter • mizer</title><!-- favicons --><link rel="icon" type="image/png" sizes="96x96" href="../favicon-96x96.png"><link rel="icon" type="”image/svg+xml”" href="../favicon.svg"><link rel="apple-touch-icon" sizes="180x180" href="../apple-touch-icon.png"><link rel="icon" sizes="any" href="../favicon.ico"><link rel="manifest" href="../site.webmanifest"><!-- mathjax math --><script src="https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/tex-mml-chtml.js" integrity="sha256-MASABpB4tYktI2Oitl4t+78w/lyA+D7b/s9GEP0JOGI=" crossorigin="anonymous"></script><script>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en-GB"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Get encounter rate during projection — mizerEncounter • mizer</title><!-- favicons --><link rel="icon" type="image/png" sizes="96x96" href="../favicon-96x96.png"><link rel="icon" type="”image/svg+xml”" href="../favicon.svg"><link rel="apple-touch-icon" sizes="180x180" href="../apple-touch-icon.png"><link rel="icon" sizes="any" href="../favicon.ico"><link rel="manifest" href="../site.webmanifest"><!-- mathjax math --><script src="https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/tex-mml-chtml.js" integrity="sha256-MASABpB4tYktI2Oitl4t+78w/lyA+D7b/s9GEP0JOGI=" crossorigin="anonymous"></script><script>
   window.MathJax = {
     chtml: {
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get encounter rate needed to project standard mizer model — mizerEncounter"><meta name="description" content="Calculates the rate \(E_i(w)\) at which a predator of species \(i\) and
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get encounter rate during projection — mizerEncounter"><meta name="description" content="Calculates the rate \(E_i(w)\) at which a predator of species \(i\) and
 weight \(w\) encounters food (grams/year). You would not usually call this
 function directly but instead use getEncounter(), which then calls this
 function unless an alternative function has been registered, see below."><meta property="og:description" content="Calculates the rate \(E_i(w)\) at which a predator of species \(i\) and
@@ -19,7 +19,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -40,13 +40,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -56,7 +64,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -74,7 +83,7 @@
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="../logo.png" class="logo" alt=""><h1>Get encounter rate needed to project standard mizer model</h1>
+      <img src="../logo.png" class="logo" alt=""><h1>Get encounter rate during projection</h1>
       <small class="dont-index">Source: <a href="https://github.com/sizespectrum/mizer/blob/HEAD/R/project_methods.R" class="external-link"><code>R/project_methods.R</code></a></small>
       <div class="d-none name"><code>mizerEncounter.Rd</code></div>
     </div>
@@ -88,7 +97,12 @@
 
     <div class="section level2">
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">mizerEncounter</span><span class="op">(</span><span class="va">params</span>, <span class="va">n</span>, <span class="va">n_pp</span>, <span class="va">n_other</span>, <span class="va">t</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">projectEncounter</span><span class="op">(</span><span class="va">params</span>, <span class="va">n</span>, <span class="va">n_pp</span>, <span class="va">n_other</span>, t <span class="op">=</span> <span class="fl">0</span>, <span class="va">...</span><span class="op">)</span></span>
+<span></span>
+<span><span class="co"># S3 method for class 'MizerParams'</span></span>
+<span><span class="fu">projectEncounter</span><span class="op">(</span><span class="va">params</span>, <span class="va">n</span>, <span class="va">n_pp</span>, <span class="va">n_other</span>, t <span class="op">=</span> <span class="fl">0</span>, <span class="va">...</span><span class="op">)</span></span>
+<span></span>
+<span><span class="fu">mizerEncounter</span><span class="op">(</span><span class="va">params</span>, <span class="va">n</span>, <span class="va">n_pp</span>, <span class="va">n_other</span>, t <span class="op">=</span> <span class="fl">0</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
     </div>
 
     <div class="section level2">
@@ -164,15 +178,25 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
 <p>If your model contains additional components that you added with
 <code><a href="setComponent.html">setComponent()</a></code> and for which you specified an <code>encounter_fun</code> function then
 the encounters of these components will be included in the returned value.</p>
+    </div>
+    <div class="section level2">
+    <h2 id="extension-hook">Extension hook<a class="anchor" aria-label="anchor" href="#extension-hook"></a></h2>
+
+
+<p><code>projectEncounter()</code> is the S3 generic used by extension-aware projections.
+Extension packages can add methods for their marker classes and call
+<code><a href="https://rdrr.io/r/base/UseMethod.html" class="external-link">NextMethod()</a></code> to compose encounter-rate changes. The <code>MizerParams</code> method
+contains the standard mizer calculation and is also exported as
+<code>mizerEncounter()</code> for compatibility.</p>
     </div>
     <div class="section level2">
     <h2 id="your-own-encounter-function">Your own encounter function<a class="anchor" aria-label="anchor" href="#your-own-encounter-function"></a></h2>
 
 
-<p>By default <code><a href="getEncounter.html">getEncounter()</a></code> calls <code>mizerEncounter()</code>. However you can
-replace this with your own alternative encounter function. If
-your function is called <code>"myEncounter"</code> then you register it in a MizerParams
-object <code>params</code> with</p>
+<p>By default <code><a href="getEncounter.html">getEncounter()</a></code> calls <code>mizerEncounter()</code> on models without
+extensions. However you can replace this with your own alternative encounter
+function. If your function is called <code>"myEncounter"</code> then you register it in
+a MizerParams object <code>params</code> with</p>
 <p></p><div class="sourceCode"><pre><code><span id="cb1-1"><a href="#cb1-1" tabindex="-1"></a>params <span class="ot">&lt;-</span> <span class="fu">setRateFunction</span>(params, <span class="st">"Encounter"</span>, <span class="st">"myEncounter"</span>)</span></code></pre><p></p></div>
 <p>Your function will then be called instead of <code>mizerEncounter()</code>, with the
 same arguments.</p>
diff --git a/docs/reference/mizerFMort.html b/docs/reference/mizerFMort.html
index df05c5b7c..f340489ec 100644
--- a/docs/reference/mizerFMort.html
+++ b/docs/reference/mizerFMort.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get the total fishing mortality rate from all fishing gears — mizerFMort"><meta name="description" content="Calculates the total fishing mortality  (in units 1/year) from all gears by
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get the total fishing mortality rate from all fishing gears — mizerFMort"><meta name="description" content="Calculates the total fishing mortality  (in units 1/year) from all gears by
 species and size.
 The total fishing mortality is just the sum of the fishing mortalities
 imposed by each gear, \(\mu_{f.i}(w)=\sum_g F_{g,i,w}\).
@@ -25,7 +25,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -46,13 +46,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -62,7 +70,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -97,7 +106,12 @@
 
     <div class="section level2">
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">mizerFMort</span><span class="op">(</span><span class="va">params</span>, <span class="va">n</span>, <span class="va">n_pp</span>, <span class="va">n_other</span>, <span class="va">t</span>, <span class="va">effort</span>, <span class="va">e_growth</span>, <span class="va">pred_mort</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">projectFMort</span><span class="op">(</span><span class="va">params</span>, <span class="va">n</span>, <span class="va">n_pp</span>, <span class="va">n_other</span>, t <span class="op">=</span> <span class="fl">0</span>, <span class="va">effort</span>, <span class="va">e_growth</span>, <span class="va">pred_mort</span>, <span class="va">...</span><span class="op">)</span></span>
+<span></span>
+<span><span class="co"># S3 method for class 'MizerParams'</span></span>
+<span><span class="fu">projectFMort</span><span class="op">(</span><span class="va">params</span>, <span class="va">n</span>, <span class="va">n_pp</span>, <span class="va">n_other</span>, t <span class="op">=</span> <span class="fl">0</span>, <span class="va">effort</span>, <span class="va">e_growth</span>, <span class="va">pred_mort</span>, <span class="va">...</span><span class="op">)</span></span>
+<span></span>
+<span><span class="fu">mizerFMort</span><span class="op">(</span><span class="va">params</span>, <span class="va">n</span>, <span class="va">n_pp</span>, <span class="va">n_other</span>, t <span class="op">=</span> <span class="fl">0</span>, <span class="va">effort</span>, <span class="va">e_growth</span>, <span class="va">pred_mort</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
     </div>
 
     <div class="section level2">
diff --git a/docs/reference/mizerFMortGear.html b/docs/reference/mizerFMortGear.html
index 942dda756..a0f562eef 100644
--- a/docs/reference/mizerFMortGear.html
+++ b/docs/reference/mizerFMortGear.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get the fishing mortality needed to project standard mizer model — mizerFMortGear"><meta name="description" content="Calculates the fishing mortality rate \(F_{g,i,w}\) by gear, species and
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get the fishing mortality needed to project standard mizer model — mizerFMortGear"><meta name="description" content="Calculates the fishing mortality rate \(F_{g,i,w}\) by gear, species and
 size.
 This is a helper function for mizerFMort()."><meta property="og:description" content="Calculates the fishing mortality rate \(F_{g,i,w}\) by gear, species and
 size.
@@ -17,7 +17,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -38,13 +38,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -54,7 +62,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -102,8 +111,8 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    <p>An three dimensional array (gear x species x size) with the
-fishing mortality</p>
+    <p>A three dimensional array (gear x species x size) with the fishing
+mortality.</p>
     </div>
     <div class="section level2">
     <h2 id="note">Note<a class="anchor" aria-label="anchor" href="#note"></a></h2>
diff --git a/docs/reference/mizerFeedingLevel.html b/docs/reference/mizerFeedingLevel.html
index 0d44b6722..1e391fe87 100644
--- a/docs/reference/mizerFeedingLevel.html
+++ b/docs/reference/mizerFeedingLevel.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get feeding level needed to project standard mizer model — mizerFeedingLevel"><meta name="description" content="You would not usually call this function directly but instead use
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get feeding level needed to project standard mizer model — mizerFeedingLevel"><meta name="description" content="You would not usually call this function directly but instead use
 getFeedingLevel(), which then calls this function unless an alternative
 function has been registered, see below."><meta property="og:description" content="You would not usually call this function directly but instead use
 getFeedingLevel(), which then calls this function unless an alternative
@@ -17,7 +17,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -38,13 +38,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -54,7 +62,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -85,7 +94,12 @@
 
     <div class="section level2">
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">mizerFeedingLevel</span><span class="op">(</span><span class="va">params</span>, <span class="va">n</span>, <span class="va">n_pp</span>, <span class="va">n_other</span>, <span class="va">t</span>, <span class="va">encounter</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">projectFeedingLevel</span><span class="op">(</span><span class="va">params</span>, <span class="va">n</span>, <span class="va">n_pp</span>, <span class="va">n_other</span>, t <span class="op">=</span> <span class="fl">0</span>, <span class="va">encounter</span>, <span class="va">...</span><span class="op">)</span></span>
+<span></span>
+<span><span class="co"># S3 method for class 'MizerParams'</span></span>
+<span><span class="fu">projectFeedingLevel</span><span class="op">(</span><span class="va">params</span>, <span class="va">n</span>, <span class="va">n_pp</span>, <span class="va">n_other</span>, t <span class="op">=</span> <span class="fl">0</span>, <span class="va">encounter</span>, <span class="va">...</span><span class="op">)</span></span>
+<span></span>
+<span><span class="fu">mizerFeedingLevel</span><span class="op">(</span><span class="va">params</span>, <span class="va">n</span>, <span class="va">n_pp</span>, <span class="va">n_other</span>, t <span class="op">=</span> <span class="fl">0</span>, <span class="va">encounter</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
     </div>
 
     <div class="section level2">
diff --git a/docs/reference/mizerMort.html b/docs/reference/mizerMort.html
index 945874d10..6607e356e 100644
--- a/docs/reference/mizerMort.html
+++ b/docs/reference/mizerMort.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get total mortality rate needed to project standard mizer model — mizerMort"><meta name="description" content="Calculates the total mortality rate \(\mu_i(w)\)  (in units 1/year) on each
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get total mortality rate needed to project standard mizer model — mizerMort"><meta name="description" content="Calculates the total mortality rate \(\mu_i(w)\)  (in units 1/year) on each
 species by size from predation mortality, background mortality and fishing
 mortality.
 You would not usually call this
@@ -23,7 +23,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -44,13 +44,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -60,7 +68,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -94,7 +103,12 @@
 
     <div class="section level2">
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">mizerMort</span><span class="op">(</span><span class="va">params</span>, <span class="va">n</span>, <span class="va">n_pp</span>, <span class="va">n_other</span>, <span class="va">t</span>, <span class="va">f_mort</span>, <span class="va">pred_mort</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">projectMort</span><span class="op">(</span><span class="va">params</span>, <span class="va">n</span>, <span class="va">n_pp</span>, <span class="va">n_other</span>, t <span class="op">=</span> <span class="fl">0</span>, <span class="va">f_mort</span>, <span class="va">pred_mort</span>, <span class="va">...</span><span class="op">)</span></span>
+<span></span>
+<span><span class="co"># S3 method for class 'MizerParams'</span></span>
+<span><span class="fu">projectMort</span><span class="op">(</span><span class="va">params</span>, <span class="va">n</span>, <span class="va">n_pp</span>, <span class="va">n_other</span>, t <span class="op">=</span> <span class="fl">0</span>, <span class="va">f_mort</span>, <span class="va">pred_mort</span>, <span class="va">...</span><span class="op">)</span></span>
+<span></span>
+<span><span class="fu">mizerMort</span><span class="op">(</span><span class="va">params</span>, <span class="va">n</span>, <span class="va">n_pp</span>, <span class="va">n_other</span>, t <span class="op">=</span> <span class="fl">0</span>, <span class="va">f_mort</span>, <span class="va">pred_mort</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
     </div>
 
     <div class="section level2">
diff --git a/docs/reference/mizerPredMort.html b/docs/reference/mizerPredMort.html
index d989dcfad..f9dde48ec 100644
--- a/docs/reference/mizerPredMort.html
+++ b/docs/reference/mizerPredMort.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get total predation mortality rate needed to project standard mizer model — mizerPredMort"><meta name="description" content="Calculates the total predation mortality rate \(\mu_{p,i}(w_p)\) (in units
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get total predation mortality rate needed to project standard mizer model — mizerPredMort"><meta name="description" content="Calculates the total predation mortality rate \(\mu_{p,i}(w_p)\) (in units
 of 1/year) on each prey species by prey size:
 $$\mu_{p.i}(w_p) = \sum_j {\tt pred\_rate}_j(w_p)\, \theta_{ji}.$$
 You would not usually call this
@@ -23,7 +23,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -44,13 +44,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -60,7 +68,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -94,7 +103,12 @@
 
     <div class="section level2">
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">mizerPredMort</span><span class="op">(</span><span class="va">params</span>, <span class="va">n</span>, <span class="va">n_pp</span>, <span class="va">n_other</span>, <span class="va">t</span>, <span class="va">pred_rate</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">projectPredMort</span><span class="op">(</span><span class="va">params</span>, <span class="va">n</span>, <span class="va">n_pp</span>, <span class="va">n_other</span>, t <span class="op">=</span> <span class="fl">0</span>, <span class="va">pred_rate</span>, <span class="va">...</span><span class="op">)</span></span>
+<span></span>
+<span><span class="co"># S3 method for class 'MizerParams'</span></span>
+<span><span class="fu">projectPredMort</span><span class="op">(</span><span class="va">params</span>, <span class="va">n</span>, <span class="va">n_pp</span>, <span class="va">n_other</span>, t <span class="op">=</span> <span class="fl">0</span>, <span class="va">pred_rate</span>, <span class="va">...</span><span class="op">)</span></span>
+<span></span>
+<span><span class="fu">mizerPredMort</span><span class="op">(</span><span class="va">params</span>, <span class="va">n</span>, <span class="va">n_pp</span>, <span class="va">n_other</span>, t <span class="op">=</span> <span class="fl">0</span>, <span class="va">pred_rate</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
     </div>
 
     <div class="section level2">
@@ -125,8 +139,9 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 
 
 <dt id="arg-pred-rate">pred_rate<a class="anchor" aria-label="anchor" href="#arg-pred-rate"></a></dt>
-<dd><p>A two dimensional array (predator species x predator size)
-with the feeding level.</p></dd>
+<dd><p>A two dimensional array (predator species x prey size) with
+the predation rate, where prey size runs over fish community plus resource
+spectrum.</p></dd>
 
 
 <dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
diff --git a/docs/reference/mizerPredRate.html b/docs/reference/mizerPredRate.html
index 61b95073d..c28c276ac 100644
--- a/docs/reference/mizerPredRate.html
+++ b/docs/reference/mizerPredRate.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get predation rate needed to project standard mizer model — mizerPredRate"><meta name="description" content="Calculates the potential rate (in units 1/year) at which a prey individual of
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get predation rate needed to project standard mizer model — mizerPredRate"><meta name="description" content="Calculates the potential rate (in units 1/year) at which a prey individual of
 a given size \(w\) is killed by predators from species \(j\). In formulas
 $${\tt pred\_rate}_j(w_p) = \int \phi_j(w,w_p) (1-f_j(w))
   \gamma_j(w) N_j(w) \, dw.$$
@@ -29,7 +29,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -50,13 +50,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -66,7 +74,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -103,7 +112,12 @@
 
     <div class="section level2">
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">mizerPredRate</span><span class="op">(</span><span class="va">params</span>, <span class="va">n</span>, <span class="va">n_pp</span>, <span class="va">n_other</span>, <span class="va">t</span>, <span class="va">feeding_level</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">projectPredRate</span><span class="op">(</span><span class="va">params</span>, <span class="va">n</span>, <span class="va">n_pp</span>, <span class="va">n_other</span>, t <span class="op">=</span> <span class="fl">0</span>, <span class="va">feeding_level</span>, <span class="va">...</span><span class="op">)</span></span>
+<span></span>
+<span><span class="co"># S3 method for class 'MizerParams'</span></span>
+<span><span class="fu">projectPredRate</span><span class="op">(</span><span class="va">params</span>, <span class="va">n</span>, <span class="va">n_pp</span>, <span class="va">n_other</span>, t <span class="op">=</span> <span class="fl">0</span>, <span class="va">feeding_level</span>, <span class="va">...</span><span class="op">)</span></span>
+<span></span>
+<span><span class="fu">mizerPredRate</span><span class="op">(</span><span class="va">params</span>, <span class="va">n</span>, <span class="va">n_pp</span>, <span class="va">n_other</span>, t <span class="op">=</span> <span class="fl">0</span>, <span class="va">feeding_level</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
     </div>
 
     <div class="section level2">
diff --git a/docs/reference/mizerRDI.html b/docs/reference/mizerRDI.html
index 75e6e58eb..32c172272 100644
--- a/docs/reference/mizerRDI.html
+++ b/docs/reference/mizerRDI.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get density-independent rate of reproduction needed to project standard mizer model — mizerRDI"><meta name="description" content="Calculates the density-independent rate of total egg production
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get density-independent rate of reproduction needed to project standard mizer model — mizerRDI"><meta name="description" content="Calculates the density-independent rate of total egg production
 \(R_{di}\) (units 1/year) before density dependence, by species.
 You would not usually call this
 function directly but instead use getRDI(), which then calls this
@@ -21,7 +21,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -42,13 +42,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -58,7 +66,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -91,7 +100,12 @@
 
     <div class="section level2">
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">mizerRDI</span><span class="op">(</span><span class="va">params</span>, <span class="va">n</span>, <span class="va">n_pp</span>, <span class="va">n_other</span>, <span class="va">t</span>, <span class="va">e_growth</span>, <span class="va">mort</span>, <span class="va">e_repro</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">projectRDI</span><span class="op">(</span><span class="va">params</span>, <span class="va">n</span>, <span class="va">n_pp</span>, <span class="va">n_other</span>, t <span class="op">=</span> <span class="fl">0</span>, <span class="va">e_growth</span>, <span class="va">mort</span>, <span class="va">e_repro</span>, <span class="va">...</span><span class="op">)</span></span>
+<span></span>
+<span><span class="co"># S3 method for class 'MizerParams'</span></span>
+<span><span class="fu">projectRDI</span><span class="op">(</span><span class="va">params</span>, <span class="va">n</span>, <span class="va">n_pp</span>, <span class="va">n_other</span>, t <span class="op">=</span> <span class="fl">0</span>, <span class="va">e_growth</span>, <span class="va">mort</span>, <span class="va">e_repro</span>, <span class="va">...</span><span class="op">)</span></span>
+<span></span>
+<span><span class="fu">mizerRDI</span><span class="op">(</span><span class="va">params</span>, <span class="va">n</span>, <span class="va">n_pp</span>, <span class="va">n_other</span>, t <span class="op">=</span> <span class="fl">0</span>, <span class="va">e_growth</span>, <span class="va">mort</span>, <span class="va">e_repro</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
     </div>
 
     <div class="section level2">
diff --git a/docs/reference/mizerRates.html b/docs/reference/mizerRates.html
index 7dfb5f7d9..4a3c78601 100644
--- a/docs/reference/mizerRates.html
+++ b/docs/reference/mizerRates.html
@@ -5,7 +5,15 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get all rates needed to project standard mizer model — mizerRates"><meta name="description" content="Calls other rate functions in sequence and collects the results in a list."><meta property="og:description" content="Calls other rate functions in sequence and collects the results in a list."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get all rates needed to project standard mizer model — mizerRates"><meta name="description" content="Calls other rate functions in sequence and collects the results in a list.
+projectRates() is an S3 generic used by extension-aware
+projections to calculate all rates. Models without extensions keep using
+mizerRates() directly. The base method mirrors mizerRates() but calls
+migrated projection hooks directly, starting with projectEncounter()."><meta property="og:description" content="Calls other rate functions in sequence and collects the results in a list.
+projectRates() is an S3 generic used by extension-aware
+projections to calculate all rates. Models without extensions keep using
+mizerRates() directly. The base method mirrors mizerRates() but calls
+migrated projection hooks directly, starting with projectEncounter()."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
 
 
@@ -13,7 +21,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -34,13 +42,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -50,7 +66,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -75,11 +92,17 @@
 
     <div class="ref-description section level2">
     <p>Calls other rate functions in sequence and collects the results in a list.</p>
+<p><code>projectRates()</code> is an S3 generic used by extension-aware
+projections to calculate all rates. Models without extensions keep using
+<code>mizerRates()</code> directly. The base method mirrors <code>mizerRates()</code> but calls
+migrated projection hooks directly, starting with <code><a href="mizerEncounter.html">projectEncounter()</a></code>.</p>
     </div>
 
     <div class="section level2">
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">mizerRates</span><span class="op">(</span><span class="va">params</span>, <span class="va">n</span>, <span class="va">n_pp</span>, <span class="va">n_other</span>, t <span class="op">=</span> <span class="fl">0</span>, <span class="va">effort</span>, <span class="va">rates_fns</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">mizerRates</span><span class="op">(</span><span class="va">params</span>, <span class="va">n</span>, <span class="va">n_pp</span>, <span class="va">n_other</span>, t <span class="op">=</span> <span class="fl">0</span>, <span class="va">effort</span>, <span class="va">rates_fns</span>, <span class="va">...</span><span class="op">)</span></span>
+<span></span>
+<span><span class="fu">projectRates</span><span class="op">(</span><span class="va">params</span>, <span class="va">n</span>, <span class="va">n_pp</span>, <span class="va">n_other</span>, t <span class="op">=</span> <span class="fl">0</span>, <span class="va">effort</span>, <span class="va">rates_fns</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
     </div>
 
     <div class="section level2">
diff --git a/docs/reference/mizerResourceMort.html b/docs/reference/mizerResourceMort.html
index 232eadcf7..85883f974 100644
--- a/docs/reference/mizerResourceMort.html
+++ b/docs/reference/mizerResourceMort.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get predation mortality rate for resource needed to project standard mizer model — mizerResourceMort"><meta name="description" content="Calculates the predation mortality rate \(\mu_p(w)\) on the resource
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get predation mortality rate for resource needed to project standard mizer model — mizerResourceMort"><meta name="description" content="Calculates the predation mortality rate \(\mu_p(w)\) on the resource
 spectrum by resource size (in units 1/year).
 You would not usually call this
 function directly but instead use getResourceMort(), which then calls this
@@ -21,7 +21,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -42,13 +42,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -58,7 +66,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -91,7 +100,12 @@
 
     <div class="section level2">
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">mizerResourceMort</span><span class="op">(</span><span class="va">params</span>, <span class="va">n</span>, <span class="va">n_pp</span>, <span class="va">n_other</span>, <span class="va">t</span>, <span class="va">pred_rate</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">projectResourceMort</span><span class="op">(</span><span class="va">params</span>, <span class="va">n</span>, <span class="va">n_pp</span>, <span class="va">n_other</span>, t <span class="op">=</span> <span class="fl">0</span>, <span class="va">pred_rate</span>, <span class="va">...</span><span class="op">)</span></span>
+<span></span>
+<span><span class="co"># S3 method for class 'MizerParams'</span></span>
+<span><span class="fu">projectResourceMort</span><span class="op">(</span><span class="va">params</span>, <span class="va">n</span>, <span class="va">n_pp</span>, <span class="va">n_other</span>, t <span class="op">=</span> <span class="fl">0</span>, <span class="va">pred_rate</span>, <span class="va">...</span><span class="op">)</span></span>
+<span></span>
+<span><span class="fu">mizerResourceMort</span><span class="op">(</span><span class="va">params</span>, <span class="va">n</span>, <span class="va">n_pp</span>, <span class="va">n_other</span>, t <span class="op">=</span> <span class="fl">0</span>, <span class="va">pred_rate</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
     </div>
 
     <div class="section level2">
diff --git a/docs/reference/needs_upgrading.html b/docs/reference/needs_upgrading.html
index 1a6bc3431..b022f8545 100644
--- a/docs/reference/needs_upgrading.html
+++ b/docs/reference/needs_upgrading.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Determine whether a MizerParams or MizerSim object needs to be upgraded — needs_upgrading"><meta name="description" content="Looks at the mizer version that was used to last update the object and
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Determine whether a MizerParams or MizerSim object needs to be upgraded — needs_upgrading"><meta name="description" content="Looks at the mizer version that was used to last update the object and
 returns TRUE if changes since that version require an upgrade of the object.
 You would not usually have to call this function. Upgrades are initiated
 automatically by validParams and validSim when necessary."><meta property="og:description" content="Looks at the mizer version that was used to last update the object and
@@ -19,7 +19,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -40,13 +40,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -56,7 +64,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
diff --git a/docs/reference/newCommunityParams-2.png b/docs/reference/newCommunityParams-2.png
index 14db61d5a..c68035886 100644
Binary files a/docs/reference/newCommunityParams-2.png and b/docs/reference/newCommunityParams-2.png differ
diff --git a/docs/reference/newCommunityParams-4.png b/docs/reference/newCommunityParams-4.png
index a35ed61ca..ede79087b 100644
Binary files a/docs/reference/newCommunityParams-4.png and b/docs/reference/newCommunityParams-4.png differ
diff --git a/docs/reference/newCommunityParams.html b/docs/reference/newCommunityParams.html
index 6094a60e6..fc1ac2edf 100644
--- a/docs/reference/newCommunityParams.html
+++ b/docs/reference/newCommunityParams.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Set up parameters for a community-type model — newCommunityParams"><meta name="description" content="This functions creates a MizerParams object describing a
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Set up parameters for a community-type model — newCommunityParams"><meta name="description" content="This functions creates a MizerParams object describing a
 community-type model.
 The function has many arguments, all of which have default values."><meta property="og:description" content="This functions creates a MizerParams object describing a
 community-type model.
@@ -17,7 +17,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -38,13 +38,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -54,7 +62,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -102,7 +111,8 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 <span>  lambda <span class="op">=</span> <span class="fl">2.05</span>,</span>
 <span>  r_pp <span class="op">=</span> <span class="fl">10</span>,</span>
 <span>  knife_edge_size <span class="op">=</span> <span class="fl">1000</span>,</span>
-<span>  <span class="va">reproduction</span></span>
+<span>  <span class="va">reproduction</span>,</span>
+<span>  info_level <span class="op">=</span> <span class="fl">2</span></span>
 <span><span class="op">)</span></span></code></pre></div>
     </div>
 
@@ -147,8 +157,9 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 
 
 <dt id="arg-gamma">gamma<a class="anchor" aria-label="anchor" href="#arg-gamma"></a></dt>
-<dd><p>Volumetric search rate. Estimated using <code>h</code>, <code>f0</code> and
-<code>kappa</code> if not supplied.</p></dd>
+<dd><p>Volumetric search rate. Passed through to
+<code><a href="newMultispeciesParams.html">newMultispeciesParams()</a></code>, which estimates it from <code>h</code>, <code>f0</code>, and <code>kappa</code>
+if it is left as <code>NA</code>.</p></dd>
 
 
 <dt id="arg-beta">beta<a class="anchor" aria-label="anchor" href="#arg-beta"></a></dt>
@@ -175,8 +186,7 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 
 
 <dt id="arg-r-pp">r_pp<a class="anchor" aria-label="anchor" href="#arg-r-pp"></a></dt>
-<dd><p><a href="https://lifecycle.r-lib.org/articles/stages.html#deprecated" class="external-link"><img src="figures/lifecycle-deprecated.svg" alt="[Deprecated]"></a>. Use <code>resource_rate</code> argument
-instead.</p></dd>
+<dd><p>Growth rate parameter for the resource spectrum.</p></dd>
 
 
 <dt id="arg-knife-edge-size">knife_edge_size<a class="anchor" aria-label="anchor" href="#arg-knife-edge-size"></a></dt>
@@ -186,8 +196,14 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 
 <dt id="arg-reproduction">reproduction<a class="anchor" aria-label="anchor" href="#arg-reproduction"></a></dt>
 <dd><p>The constant reproduction in the smallest size class of
-the community spectrum. By default this is set so that the community
-spectrum is continuous with the resource spectrum.</p></dd>
+the community spectrum. By default this is set to the rate required to
+maintain the constructed initial egg abundance.</p></dd>
+
+
+<dt id="arg-info-level">info_level<a class="anchor" aria-label="anchor" href="#arg-info-level"></a></dt>
+<dd><p>Controls the amount of information messages that are shown
+when the function sets default values for parameters. Higher levels lead
+to more messages.</p></dd>
 
 </dl></div>
     <div class="section level2">
diff --git a/docs/reference/newMultispeciesParams.html b/docs/reference/newMultispeciesParams.html
index f950717e1..25865c5b1 100644
--- a/docs/reference/newMultispeciesParams.html
+++ b/docs/reference/newMultispeciesParams.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Set up parameters for a general multispecies model — newMultispeciesParams"><meta name="description" content="Sets up a multi-species size spectrum model by filling all slots in the
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Set up parameters for a general multispecies model — newMultispeciesParams"><meta name="description" content="Sets up a multi-species size spectrum model by filling all slots in the
 MizerParams object based on user-provided or default
 parameters. There is a long list of arguments, but almost
 all of them have sensible default values. The only required argument is
@@ -23,7 +23,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -44,13 +44,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -60,7 +68,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -215,8 +224,9 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 
 <dt id="arg-ext-encounter">ext_encounter<a class="anchor" aria-label="anchor" href="#arg-ext-encounter"></a></dt>
 <dd><p>Optional. An array (species x size) holding the external
-encounter rate.  If not supplied, the external encounter rate is left
-unchanged. Initially is is set to 0.</p></dd>
+encounter rate.  If not supplied, a default is calculated from the <code>E_ext</code>
+and <code>n</code> species parameters as described in the section "Setting external
+encounter rate".</p></dd>
 
 
 <dt id="arg-maturity">maturity<a class="anchor" aria-label="anchor" href="#arg-maturity"></a></dt>
@@ -227,9 +237,10 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 
 <dt id="arg-repro-prop">repro_prop<a class="anchor" aria-label="anchor" href="#arg-repro-prop"></a></dt>
 <dd><p>Optional. An array (species x size) that holds the
-proportion of consumed energy that a mature individual allocates to
-reproduction for each species at size. If not supplied, a default is set as
-described in the section "Setting reproduction".</p></dd>
+proportion of the energy available for growth and reproduction that a mature
+individual allocates to reproduction for each species at size. If not
+supplied, a default is set as described in the section "Setting
+reproduction".</p></dd>
 
 
 <dt id="arg-rdd">RDD<a class="anchor" aria-label="anchor" href="#arg-rdd"></a></dt>
@@ -258,7 +269,7 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 <dd><p>Optional. Vector of resource intrinsic carrying
 capacities or coefficient in the power-law for the capacity, see
 "Setting resource dynamics" below.
-The resource capacity must be larger than the resource abundance.</p></dd>
+The resource capacity must not be smaller than the resource abundance.</p></dd>
 
 
 <dt id="arg-lambda">lambda<a class="anchor" aria-label="anchor" href="#arg-lambda"></a></dt>
@@ -269,10 +280,11 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 <dt id="arg-w-pp-cutoff">w_pp_cutoff<a class="anchor" aria-label="anchor" href="#arg-w-pp-cutoff"></a></dt>
 <dd><p>The upper cut off size of the resource spectrum power law
 used when <code>resource_capacity</code> is given as a single number. When changing
-<code>w_pp_cutoff</code> without providing <code>resource_capacity</code>, the cutoff can only
-be decreased. In that case, both the carrying capacity and the initial
-resource abundance will be cut off at the new value. To increase the cutoff,
-you must also provide the <code>resource_capacity</code> for the extended range.</p></dd>
+<code>w_pp_cutoff</code> without providing <code>resource_capacity</code>, the cutoff can only be
+decreased. In that case, both the carrying capacity and the initial
+resource abundance will be cut off at the new value. To increase the
+cutoff, you must also provide the <code>resource_capacity</code> for the extended
+range.</p></dd>
 
 
 <dt id="arg-resource-dynamics">resource_dynamics<a class="anchor" aria-label="anchor" href="#arg-resource-dynamics"></a></dt>
@@ -360,7 +372,8 @@ <h2 id="setting-initial-values">Setting initial values<a class="anchor" aria-lab
 <p>The initial resource number density \(N_R(w)\) is set to a power law with
 coefficient <code>kappa</code> (\(\kappa\)) and exponent <code>-lambda</code> (\(-\lambda\)):
 $$N_R(w) = \kappa\, w^{-\lambda}$$
-for all \(w\) less than <code>w_pp_cutoff</code> and zero for larger sizes.</p>
+for all \(w\) less than <code>w_pp_cutoff</code> and zero for sizes at or above
+<code>w_pp_cutoff</code>.</p>
     </div>
     <div class="section level2">
     <h2 id="size-grid">Size grid<a class="anchor" aria-label="anchor" href="#size-grid"></a></h2>
@@ -428,7 +441,9 @@ <h2 id="setting-interaction-matrix">Setting interaction matrix<a class="anchor"
 <p>The order of the columns and rows of the <code>interaction</code> argument should be
 the same as the order in the species params data frame in the <code>params</code>
 object. If you supply a named array then the function will check the order
-and warn if it is different. One way of creating your own interaction
+and message if it is different before ignoring the supplied dimnames. If
+you supply only column names then these are also used as the row names. One
+way of creating your own interaction
 matrix is to enter the data using a spreadsheet program and saving it as a
 .csv file. The data can then be read into R using the command <code><a href="https://rdrr.io/r/utils/read.table.html" class="external-link">read.csv()</a></code>.</p>
 <p>The interaction of the species with the resource are set via a column
@@ -501,9 +516,13 @@ <h2 id="setting-search-volume">Setting search volume<a class="anchor" aria-label
 allometric exponent of the search volume) are taken from the <code>gamma</code> and
 <code>q</code> columns in the species parameter dataframe. If the <code>gamma</code>
 column is not supplied in the species parameter dataframe, a default is
-calculated by the <code><a href="get_gamma_default.html">get_gamma_default()</a></code> function. Note that only
+calculated by the <code><a href="get_gamma_default.html">get_gamma_default()</a></code> function. If the <code>q</code> column is not
+supplied, a default of <code>lambda - 2 + n</code> is used. Note that only
 for predators of size \(w = 1\) gram is the value of the species parameter
 \(\gamma_i\) the same as the value of the search volume \(\gamma_i(w)\).</p>
+<p>If the <code>search_vol</code> slot has a comment and <code>reset = FALSE</code>, then a
+recalculation from the species parameters is suppressed and a message is
+issued if the recalculated values would differ from the stored ones.</p>
     </div>
     <div class="section level2">
     <h2 id="setting-maximum-intake-rate">Setting maximum intake rate<a class="anchor" aria-label="anchor" href="#setting-maximum-intake-rate"></a></h2>
@@ -518,9 +537,13 @@ <h2 id="setting-maximum-intake-rate">Setting maximum intake rate<a class="anchor
 gram) and \(n_i\) (the allometric exponent for the intake rate) are taken
 from the <code>h</code> and <code>n</code> columns in the species parameter dataframe. If
 the <code>h</code> column is not supplied in the species parameter dataframe, it is
-calculated by the <code><a href="get_h_default.html">get_h_default()</a></code> function.</p>
+calculated by the <code><a href="get_h_default.html">get_h_default()</a></code> function. If the <code>n</code> column is not
+supplied, a default of \(n_i = 3/4\) is used.</p>
 <p>If \(h_i\) is set to <code>Inf</code>, fish of species i will consume all encountered
 food.</p>
+<p>If the <code>intake_max</code> slot has a comment and <code>reset = FALSE</code>, then a
+recalculation from the species parameters is suppressed and a message is
+issued if the recalculated values would differ from the stored ones.</p>
     </div>
     <div class="section level2">
     <h2 id="setting-metabolic-rate">Setting metabolic rate<a class="anchor" aria-label="anchor" href="#setting-metabolic-rate"></a></h2>
@@ -536,11 +559,14 @@ <h2 id="setting-metabolic-rate">Setting metabolic rate<a class="anchor" aria-lab
 is the rate at which energy is expended on activity and movement. The values
 of \(k_s\), \(p\) and \(k\) are taken from the <code>ks</code>, <code>p</code> and
 <code>k</code> columns in the species parameter dataframe. If any of these
-parameters are not supplied, the defaults are \(k = 0\), \(p = n\) and
+parameters are not supplied, the defaults are \(k = 0\), \(p = 3/4\) and
 $$k_s = f_c h \alpha w_{mat}^{n-p},$$
 where \(f_c\) is the critical feeding level taken from the <code>fc</code> column
 in the species parameter data frame. If the critical feeding level is not
 specified, a default of \(f_c = 0.2\) is used.</p>
+<p>If the <code>metab</code> slot has a comment and <code>reset = FALSE</code>, then a recalculation
+from the species parameters is suppressed and a message is issued if the
+recalculated values would differ from the stored ones.</p>
     </div>
     <div class="section level2">
     <h2 id="setting-external-mortality-rate">Setting external mortality rate<a class="anchor" aria-label="anchor" href="#setting-external-mortality-rate"></a></h2>
@@ -555,11 +581,14 @@ <h2 id="setting-external-mortality-rate">Setting external mortality rate<a class
 that depends on species and body size. You can see an example of this in
 the Examples section of the help page for <code><a href="setExtMort.html">setExtMort()</a></code>.</p>
 <p>If the <code>ext_mort</code> argument is not supplied, then the external mortality is
-assumed to depend only on the species, not on the size of the individual:
-\(\mu_{ext.i}(w) = z_{0.i}\). The value of the constant \(z_0\) for each
-species is taken from the <code>z0</code> column of the species parameter data frame, if
-that column exists. Otherwise it is calculated as
-$$z_{0.i} = {\tt z0pre}_i\, w_{inf}^{\tt z0exp}.$$</p>
+taken from the species parameters as
+$$\mu_{ext.i}(w) = z_{0.i} + z_{ext.i} w^{d_i}.$$
+The value of the constant \(z_0\) for each species is taken from the <code>z0</code>
+column of the species parameter data frame, if that column exists.
+Otherwise it is calculated as
+$$z_{0.i} = {\tt z0pre}_i\, w_{inf}^{\tt z0exp}.$$
+Missing values of <code>z_ext</code> are set to 0 and missing values of <code>d</code> are set to
+<code>n - 1</code>.</p>
     </div>
     <div class="section level2">
     <h2 id="setting-external-encounter-rate">Setting external encounter rate<a class="anchor" aria-label="anchor" href="#setting-external-encounter-rate"></a></h2>
@@ -570,6 +599,34 @@ <h2 id="setting-external-encounter-rate">Setting external encounter rate<a class
 <p>The <code>ext_encounter</code> argument allows you to specify an external encounter rate
 that depends on species and body size. You can see an example of this in
 the Examples section of the help page for <code><a href="setExtEncounter.html">setExtEncounter()</a></code>.</p>
+<p>If the <code>ext_encounter</code> argument is not supplied, then the external encounter
+rate is calculated as a power law:
+$$E_{ext.i}(w) = E_{ext.i}\, w^{n_i}.$$
+The coefficient \(E_{ext.i}\) is taken from the <code>E_ext</code> column of the
+species parameter data frame, which defaults to 0. The exponent \(n_i\) is
+taken from the <code>n</code> column of the species parameter data frame.</p>
+<p>If the <code>ext_encounter</code> slot has a comment and <code>reset = FALSE</code>, then a
+recalculation from the species parameters is suppressed and a message is
+issued if the recalculated values would differ from the stored ones.</p>
+    </div>
+    <div class="section level2">
+    <h2 id="setting-external-diffusion-rate">Setting external diffusion rate<a class="anchor" aria-label="anchor" href="#setting-external-diffusion-rate"></a></h2>
+
+
+<p>The external diffusion rate allows you to impose additional diffusion of
+abundance density over body size beyond the predation-driven diffusion
+computed by <code><a href="mizerDiffusion.html">mizerDiffusion()</a></code>.</p>
+<p>The <code>ext_diffusion</code> argument allows you to specify a diffusion rate that
+depends on species and body size.</p>
+<p>If the <code>ext_diffusion</code> argument is not supplied, then the external diffusion
+rate is calculated as a power law:
+$$D_{ext.i}(w) = D_{ext.i}\, w^{n_i+1}.$$
+The coefficient \(D_{ext.i}\) is taken from the <code>D_ext</code> column of the
+species parameter data frame, which defaults to 0. The exponent
+\(n_i + 1\) uses the <code>n</code> column of the species parameter data frame.</p>
+<p>If the <code>ext_diffusion</code> slot has a comment and <code>reset = FALSE</code>, then a
+recalculation from the species parameters is suppressed and a message is
+issued if the recalculated values would differ from the stored ones.</p>
     </div>
     <div class="section level2">
     <h2 id="setting-reproduction">Setting reproduction<a class="anchor" aria-label="anchor" href="#setting-reproduction"></a></h2>
@@ -603,10 +660,8 @@ <h3 id="maturity-ogive">Maturity ogive<a class="anchor" aria-label="anchor" href
 specifies the weight at which 25% of individuals are mature, which sets
 \(U = \log(3) / \log(w_{mat} / w_{mat25}).\)</p>
 <p>The sigmoidal function given above would strictly reach 1 only
-asymptotically. Mizer instead sets the function equal to 1 already at a size
-taken from the <code>w_repro_max</code> column in the species parameter data frame, if it
-exists, or otherwise from the <code>w_max</code> column. Also, for computational
-simplicity, any proportion smaller than <code>1e-8</code> is set to <code>0</code>.</p>
+asymptotically. For computational simplicity, any proportion smaller than
+<code>1e-8</code> is set to <code>0</code>.</p>
 </div>
 
 <div class="section">
@@ -614,7 +669,8 @@ <h3 id="investment-into-reproduction">Investment into reproduction<a class="anch
 <p>If the the energy available to a mature individual that is
 invested into reproduction is not supplied via the <code>repro_prop</code> argument,
 it is set to the allometric form
-$${\tt repro\_prop}(w) = \left(\frac{w}{w_{\tt{repro\_max}}}\right)^{m-n}.$$
+$${\tt repro\_prop}(w) =
+  \left(\frac{w}{w_{\tt{repro\_max}}}\right)^{m-n}.$$
 Here \(n\) is the scaling exponent of the energy income rate. Hence
 the exponent \(m\) determines the scaling of the investment into
 reproduction for mature individuals. By default it is chosen to be
@@ -625,7 +681,12 @@ <h3 id="investment-into-reproduction">Investment into reproduction<a class="anch
 exists, or otherwise from the <code>w_max</code> column.</p>
 <p>The total proportion of energy invested into reproduction of an individual
 of size \(w\) is then
-$$\psi(w) = {\tt maturity}(w){\tt repro\_prop}(w)$$</p>
+$$\psi(w) = {\tt maturity}(w){\tt repro\_prop}(w)$$
+In mizer edition 1, at sizes above <code>w_repro_max</code> the value of \(\psi\)
+is additionally forced to 1, so that all available energy is invested into
+reproduction and growth stops. In edition 2 and above this forcing is not
+applied, and \(\psi\) is determined entirely by the maturity ogive and the
+reproductive proportion.</p>
 </div>
 
 <div class="section">
diff --git a/docs/reference/newSingleSpeciesParams-1.png b/docs/reference/newSingleSpeciesParams-1.png
index 313bb3337..846d4a1aa 100644
Binary files a/docs/reference/newSingleSpeciesParams-1.png and b/docs/reference/newSingleSpeciesParams-1.png differ
diff --git a/docs/reference/newSingleSpeciesParams.html b/docs/reference/newSingleSpeciesParams.html
index 9c9f57605..195bb64e1 100644
--- a/docs/reference/newSingleSpeciesParams.html
+++ b/docs/reference/newSingleSpeciesParams.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Set up parameters for a single species in a power-law background — newSingleSpeciesParams"><meta name="description" content="
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Set up parameters for a single species in a power-law background — newSingleSpeciesParams"><meta name="description" content="
 This functions creates a MizerParams object with a single
 species. This species is embedded in a fixed power-law community spectrum
 $$N_c(w) = \kappa w^{-\lambda}$$
@@ -29,7 +29,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -50,13 +50,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -66,7 +74,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -225,7 +234,7 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 
 
 <dt id="arg-reproduction-level">reproduction_level<a class="anchor" aria-label="anchor" href="#arg-reproduction-level"></a></dt>
-<dd><p>A number between 0 an 1 that determines the
+<dd><p>A number between 0 and 1 that determines the
 level of density dependence in reproduction, see <code><a href="setBevertonHolt.html">setBevertonHolt()</a></code>.</p></dd>
 
 
@@ -253,6 +262,19 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
     <p>In addition to setting up the parameters, this function also sets up an
 initial condition that is close to steady state, under the assumption of
 no fishing.</p>
+<p>The function rounds <code>no_w</code> to the nearest integer and increases it if
+necessary so that there are at least 5 size bins per factor 10 in body
+size. It requires <code>w_min &lt; w_mat &lt; w_max</code>, <code>ext_mort_prop</code> in <code>[0, 1)</code>,
+positive values for <code>n</code>, <code>lambda</code>, <code>kappa</code>, <code>alpha</code>, <code>h</code>, <code>beta</code>, <code>sigma</code>
+and <code>f0</code>, and <code>fc</code> between 0 and <code>f0</code> if <code>fc</code> is supplied. If <code>gamma</code> is
+supplied then <code>f0</code> is ignored. The function stops if the resulting feeding
+level is not sufficient to maintain the species.</p>
+<p>The returned model has a single foreground species with cannibalism switched
+off and a fixed power-law background community that provides both food and
+predation mortality. The initial species spectrum is scaled so that its
+maximum abundance is half the background abundance at the corresponding
+size, and <code>erepro</code> is then adjusted so the initial state satisfies the egg
+boundary condition.</p>
     </div>
     <div class="section level2">
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
diff --git a/docs/reference/newTraitParams-1.png b/docs/reference/newTraitParams-1.png
index 903d4116f..e094fcd96 100644
Binary files a/docs/reference/newTraitParams-1.png and b/docs/reference/newTraitParams-1.png differ
diff --git a/docs/reference/newTraitParams.html b/docs/reference/newTraitParams.html
index 4b0b60a30..24f4264b2 100644
--- a/docs/reference/newTraitParams.html
+++ b/docs/reference/newTraitParams.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Set up parameters for a trait-based multispecies model — newTraitParams"><meta name="description" content="This functions creates a MizerParams object describing a trait-based
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Set up parameters for a trait-based multispecies model — newTraitParams"><meta name="description" content="This functions creates a MizerParams object describing a trait-based
 model. This is a simplification of the general size-based model used in
 mizer in which the species-specific parameters are the same for all
 species, except for the maximum size, which is considered the most
@@ -31,7 +31,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -52,13 +52,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -68,7 +76,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -139,7 +148,8 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 <span>  resource_scaling <span class="op">=</span> <span class="cn">FALSE</span>,</span>
 <span>  perfect_scaling <span class="op">=</span> <span class="cn">FALSE</span>,</span>
 <span>  min_w_inf <span class="op">=</span> <span class="fu">deprecated</span><span class="op">(</span><span class="op">)</span>,</span>
-<span>  max_w_inf <span class="op">=</span> <span class="fu">deprecated</span><span class="op">(</span><span class="op">)</span></span>
+<span>  max_w_inf <span class="op">=</span> <span class="fu">deprecated</span><span class="op">(</span><span class="op">)</span>,</span>
+<span>  info_level <span class="op">=</span> <span class="fl">2</span></span>
 <span><span class="op">)</span></span></code></pre></div>
     </div>
 
@@ -195,8 +205,10 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 
 
 <dt id="arg-w-pp-cutoff">w_pp_cutoff<a class="anchor" aria-label="anchor" href="#arg-w-pp-cutoff"></a></dt>
-<dd><p>The largest size of the resource spectrum. Default value
-is min_w_max unless <code>perfect_scaling = TRUE</code> when it is Inf.</p></dd>
+<dd><p>The cutoff used when truncating the constructed resource
+spectrum. Resource abundance is retained only up to the largest grid point
+below this value. If <code>perfect_scaling = TRUE</code>, the constructed initial
+resource spectrum is not truncated.</p></dd>
 
 
 <dt id="arg-n">n<a class="anchor" aria-label="anchor" href="#arg-n"></a></dt>
@@ -264,7 +276,7 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 
 
 <dt id="arg-reproduction-level">reproduction_level<a class="anchor" aria-label="anchor" href="#arg-reproduction-level"></a></dt>
-<dd><p>A number between 0 an 1 that determines the
+<dd><p>A number between 0 and 1 that determines the
 level of density dependence in reproduction, see <code><a href="setBevertonHolt.html">setBevertonHolt()</a></code>.</p></dd>
 
 
@@ -274,14 +286,14 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 
 
 <dt id="arg-gear-names">gear_names<a class="anchor" aria-label="anchor" href="#arg-gear-names"></a></dt>
-<dd><p>The names of the fishing gears for each species. A
-character vector, the same length as the number of species.</p></dd>
+<dd><p>The names of the fishing gears for each species. Either a
+single name used for all species or a character vector of length <code>no_sp</code>.</p></dd>
 
 
 <dt id="arg-knife-edge-size">knife_edge_size<a class="anchor" aria-label="anchor" href="#arg-knife-edge-size"></a></dt>
 <dd><p>The minimum size at which the gear or gears select
-fish. A single value for each gear or a vector with one value for each
-gear.</p></dd>
+fish. Either a single value used for all species or a vector of length
+<code>no_sp</code>.</p></dd>
 
 
 <dt id="arg-egg-size-scaling">egg_size_scaling<a class="anchor" aria-label="anchor" href="#arg-egg-size-scaling"></a></dt>
@@ -315,6 +327,11 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 <dd><p><a href="https://lifecycle.r-lib.org/articles/stages.html#deprecated" class="external-link"><img src="figures/lifecycle-deprecated.svg" alt="[Deprecated]"></a> The argument has been
 renamed to <code>max_w_max</code>.</p></dd>
 
+
+<dt id="arg-info-level">info_level<a class="anchor" aria-label="anchor" href="#arg-info-level"></a></dt>
+<dd><p>Controls the amount of information messages that are shown.
+Higher levels lead to more messages.</p></dd>
+
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
diff --git a/docs/reference/noRDD.html b/docs/reference/noRDD.html
index 6cef6bee8..ba8fe2c61 100644
--- a/docs/reference/noRDD.html
+++ b/docs/reference/noRDD.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Give density-independent reproduction rate — noRDD"><meta name="description" content="Simply returns its rdi argument."><meta property="og:description" content="Simply returns its rdi argument."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Give density-independent reproduction rate — noRDD"><meta name="description" content="Simply returns its rdi argument."><meta property="og:description" content="Simply returns its rdi argument."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
 
 
@@ -13,7 +13,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -34,13 +34,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
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     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
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@@ -50,7 +58,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
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@@ -106,7 +115,8 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
 <code><a href="RickerRDD.html">RickerRDD()</a></code>,
 <code><a href="SheperdRDD.html">SheperdRDD()</a></code>,
 <code><a href="constantEggRDI.html">constantEggRDI()</a></code>,
-<code><a href="constantRDD.html">constantRDD()</a></code></p></div>
+<code><a href="constantRDD.html">constantRDD()</a></code>,
+<code><a href="projectRDD.html">projectRDD()</a></code></p></div>
     </div>
 
   </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
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+      <img src="../logo.png" class="logo" alt=""><h1>Get the extension chain stored in a mizer object</h1>
+      <small class="dont-index">Source: <a href="https://github.com/sizespectrum/mizer/blob/HEAD/R/registerExtensions.R" class="external-link"><code>R/registerExtensions.R</code></a></small>
+      <div class="d-none name"><code>objectExtensions.Rd</code></div>
+    </div>
+
+    <div class="ref-description section level2">
+    <p>Get the extension chain stored in a mizer object</p>
+    </div>
+
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">objectExtensions</span><span class="op">(</span><span class="va">object</span><span class="op">)</span></span></code></pre></div>
+    </div>
+
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-object">object<a class="anchor" aria-label="anchor" href="#arg-object"></a></dt>
+<dd><p>A <code>MizerParams</code> or <code>MizerSim</code> object.</p></dd>
+
+</dl></div>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p>A named character vector of extensions, or an empty character vector
+if the object carries no extensions.</p>
+    </div>
+
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+<!DOCTYPE html>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en-GB"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Plotting outputs — plot • mizer</title><!-- favicons --><link rel="icon" type="image/png" sizes="96x96" href="../favicon-96x96.png"><link rel="icon" type="”image/svg+xml”" href="../favicon.svg"><link rel="apple-touch-icon" sizes="180x180" href="../apple-touch-icon.png"><link rel="icon" sizes="any" href="../favicon.ico"><link rel="manifest" href="../site.webmanifest"><!-- mathjax math --><script src="https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/tex-mml-chtml.js" integrity="sha256-MASABpB4tYktI2Oitl4t+78w/lyA+D7b/s9GEP0JOGI=" crossorigin="anonymous"></script><script>
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+time. plot() creates a ggplot2 figure with one line for each species
+showing the values against size or against time (depending on the type of
+output). ggplotly() creates an interactive version of the same figure."><meta property="og:description" content="Many mizer functions return values that depend on species and either size or
+time. plot() creates a ggplot2 figure with one line for each species
+showing the values against size or against time (depending on the type of
+output). ggplotly() creates an interactive version of the same figure."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"><!-- dependencies from examples --><script src="libs/htmlwidgets-1.6.4/htmlwidgets.js"></script><script src="libs/plotly-binding-4.12.0/plotly.js"></script><script src="libs/typedarray-0.1/typedarray.min.js"></script><link href="libs/crosstalk-1.2.2/css/crosstalk.min.css" rel="stylesheet"><script src="libs/crosstalk-1.2.2/js/crosstalk.min.js"></script><link href="libs/plotly-htmlwidgets-css-2.25.2/plotly-htmlwidgets.css" rel="stylesheet"><script src="libs/plotly-main-2.25.2/plotly-latest.min.js"></script></head><body>
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+    <li><a class="dropdown-item" href="../articles/single_species_size-spectrum_dynamics.html">Single-species size-spectrum dynamics</a></li>
+    <li><a class="dropdown-item" href="../articles/community_model.html">The Community Model</a></li>
+    <li><a class="dropdown-item" href="../articles/trait_model.html">The Trait-Based Model</a></li>
+    <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
+    <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
+    <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
+    <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
+    <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
+    <li><hr class="dropdown-divider"></li>
+    <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
+    <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
+    <li><hr class="dropdown-divider"></li>
+    <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
+    <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
+    <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
+    <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
+    <li><a class="dropdown-item" href="../articles/editing_website.html">Editing the Mizer Website</a></li>
+    <li><hr class="dropdown-divider"></li>
+    <li><a class="dropdown-item" href="../articles/index.html">More articles...</a></li>
+  </ul></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
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+<li class="nav-item dropdown">
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-lightswitch" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true" aria-label="Light switch"><span class="fa fa-sun"></span></button>
+  <ul class="dropdown-menu dropdown-menu-end" aria-labelledby="dropdown-lightswitch"><li><button class="dropdown-item" data-bs-theme-value="light"><span class="fa fa-sun"></span> Light</button></li>
+    <li><button class="dropdown-item" data-bs-theme-value="dark"><span class="fa fa-moon"></span> Dark</button></li>
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+      </ul></div>
+
+
+  </div>
+</nav><div class="container template-reference-topic">
+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Plotting outputs</h1>
+      <small class="dont-index">Source: <a href="https://github.com/sizespectrum/mizer/blob/HEAD/R/ArraySpeciesBySize-class.R" class="external-link"><code>R/ArraySpeciesBySize-class.R</code></a>, <a href="https://github.com/sizespectrum/mizer/blob/HEAD/R/ArraySpeciesByTime-class.R" class="external-link"><code>R/ArraySpeciesByTime-class.R</code></a></small>
+      <div class="d-none name"><code>plot.Rd</code></div>
+    </div>
+
+    <div class="ref-description section level2">
+    <p>Many mizer functions return values that depend on species and either size or
+time. <code>plot()</code> creates a ggplot2 figure with one line for each species
+showing the values against size or against time (depending on the type of
+output). <code><a href="https://rdrr.io/pkg/plotly/man/ggplotly.html" class="external-link">ggplotly()</a></code> creates an interactive version of the same figure.</p>
+    </div>
+
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="co"># S3 method for class 'ArraySpeciesBySize'</span></span>
+<span><span class="fu">plot</span><span class="op">(</span></span>
+<span>  <span class="va">x</span>,</span>
+<span>  species <span class="op">=</span> <span class="cn">NULL</span>,</span>
+<span>  all.sizes <span class="op">=</span> <span class="cn">FALSE</span>,</span>
+<span>  highlight <span class="op">=</span> <span class="cn">NULL</span>,</span>
+<span>  return_data <span class="op">=</span> <span class="cn">FALSE</span>,</span>
+<span>  log_x <span class="op">=</span> <span class="cn">TRUE</span>,</span>
+<span>  log_y <span class="op">=</span> <span class="cn">FALSE</span>,</span>
+<span>  wlim <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="cn">NA</span>, <span class="cn">NA</span><span class="op">)</span>,</span>
+<span>  ylim <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="cn">NA</span>, <span class="cn">NA</span><span class="op">)</span>,</span>
+<span>  total <span class="op">=</span> <span class="cn">FALSE</span>,</span>
+<span>  background <span class="op">=</span> <span class="cn">TRUE</span>,</span>
+<span>  y_ticks <span class="op">=</span> <span class="fl">6</span>,</span>
+<span>  <span class="va">...</span></span>
+<span><span class="op">)</span></span>
+<span></span>
+<span><span class="co"># S3 method for class 'ArraySpeciesBySize'</span></span>
+<span><span class="fu"><a href="https://rdrr.io/pkg/plotly/man/ggplotly.html" class="external-link">ggplotly</a></span><span class="op">(</span><span class="va">x</span>, <span class="va">...</span><span class="op">)</span></span>
+<span></span>
+<span><span class="co"># S3 method for class 'ArraySpeciesByTime'</span></span>
+<span><span class="fu">plot</span><span class="op">(</span></span>
+<span>  <span class="va">x</span>,</span>
+<span>  species <span class="op">=</span> <span class="cn">NULL</span>,</span>
+<span>  start_time <span class="op">=</span> <span class="cn">NULL</span>,</span>
+<span>  end_time <span class="op">=</span> <span class="cn">NULL</span>,</span>
+<span>  y_ticks <span class="op">=</span> <span class="fl">6</span>,</span>
+<span>  ylim <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="cn">NA</span>, <span class="cn">NA</span><span class="op">)</span>,</span>
+<span>  total <span class="op">=</span> <span class="cn">FALSE</span>,</span>
+<span>  background <span class="op">=</span> <span class="cn">TRUE</span>,</span>
+<span>  highlight <span class="op">=</span> <span class="cn">NULL</span>,</span>
+<span>  log_y <span class="op">=</span> <span class="cn">TRUE</span>,</span>
+<span>  return_data <span class="op">=</span> <span class="cn">FALSE</span>,</span>
+<span>  <span class="va">...</span></span>
+<span><span class="op">)</span></span>
+<span></span>
+<span><span class="co"># S3 method for class 'ArraySpeciesByTime'</span></span>
+<span><span class="fu"><a href="https://rdrr.io/pkg/plotly/man/ggplotly.html" class="external-link">ggplotly</a></span><span class="op">(</span><span class="va">x</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
+    </div>
+
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-x">x<a class="anchor" aria-label="anchor" href="#arg-x"></a></dt>
+<dd><p>An <code>ArraySpeciesBySize</code> or <code>ArraySpeciesByTime</code> object.</p></dd>
+
+
+<dt id="arg-species">species<a class="anchor" aria-label="anchor" href="#arg-species"></a></dt>
+<dd><p>Character vector of species to include. <code>NULL</code> (default) means
+all species.</p></dd>
+
+
+<dt id="arg-all-sizes">all.sizes<a class="anchor" aria-label="anchor" href="#arg-all-sizes"></a></dt>
+<dd><p>If <code>FALSE</code> (default), values outside a species' size range
+(<code>w_min</code> to <code>w_max</code>) are removed. Only applies to <code>ArraySpeciesBySize</code>.</p></dd>
+
+
+<dt id="arg-highlight">highlight<a class="anchor" aria-label="anchor" href="#arg-highlight"></a></dt>
+<dd><p>Name or vector of names of the species to be highlighted.</p></dd>
+
+
+<dt id="arg-return-data">return_data<a class="anchor" aria-label="anchor" href="#arg-return-data"></a></dt>
+<dd><p>If <code>TRUE</code>, return the data frame instead of the plot.</p></dd>
+
+
+<dt id="arg-log-x">log_x<a class="anchor" aria-label="anchor" href="#arg-log-x"></a></dt>
+<dd><p>If <code>TRUE</code> (default), use a log10 x-axis. Only applies to
+<code>ArraySpeciesBySize</code>.</p></dd>
+
+
+<dt id="arg-log-y">log_y<a class="anchor" aria-label="anchor" href="#arg-log-y"></a></dt>
+<dd><p>If <code>TRUE</code>, use a log10 y-axis. Default is <code>FALSE</code> for
+<code>ArraySpeciesBySize</code> and <code>TRUE</code> for <code>ArraySpeciesByTime</code>.</p></dd>
+
+
+<dt id="arg-wlim">wlim<a class="anchor" aria-label="anchor" href="#arg-wlim"></a></dt>
+<dd><p>A numeric vector of length two providing lower and upper limits
+for the weight (x) axis. Use <code>NA</code> to refer to the existing minimum or
+maximum. Only applies to <code>ArraySpeciesBySize</code>.</p></dd>
+
+
+<dt id="arg-ylim">ylim<a class="anchor" aria-label="anchor" href="#arg-ylim"></a></dt>
+<dd><p>A numeric vector of length two providing lower and upper limits
+for the value (y) axis. Use <code>NA</code> to refer to the existing minimum or
+maximum.</p></dd>
+
+
+<dt id="arg-total">total<a class="anchor" aria-label="anchor" href="#arg-total"></a></dt>
+<dd><p>A boolean value that determines whether the total over all
+selected species is plotted as well. Default is <code>FALSE</code>.</p></dd>
+
+
+<dt id="arg-background">background<a class="anchor" aria-label="anchor" href="#arg-background"></a></dt>
+<dd><p>A boolean value that determines whether background species
+are included. Ignored if the model does not contain background species.
+Default is <code>TRUE</code>.</p></dd>
+
+
+<dt id="arg-y-ticks">y_ticks<a class="anchor" aria-label="anchor" href="#arg-y-ticks"></a></dt>
+<dd><p>The approximate number of ticks desired on the y axis.</p></dd>
+
+
+<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
+<dd><p>Further arguments (currently unused).</p></dd>
+
+
+<dt id="arg-start-time">start_time<a class="anchor" aria-label="anchor" href="#arg-start-time"></a></dt>
+<dd><p>The first time to be plotted. Default (<code>NULL</code>) is the
+beginning of the time series. Only applies to <code>ArraySpeciesByTime</code>.</p></dd>
+
+
+<dt id="arg-end-time">end_time<a class="anchor" aria-label="anchor" href="#arg-end-time"></a></dt>
+<dd><p>The last time to be plotted. Default (<code>NULL</code>) is the end of
+the time series. Only applies to <code>ArraySpeciesByTime</code>.</p></dd>
+
+</dl></div>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p><code>plot()</code> returns a ggplot2 object, unless <code>return_data = TRUE</code>, in
+which case a data frame is returned.</p>
+<p><code><a href="https://rdrr.io/pkg/plotly/man/ggplotly.html" class="external-link">ggplotly()</a></code> returns a plotly object.</p>
+    </div>
+    <div class="section level2">
+    <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
+    <p>This works because the mizer functions that give values that depend on
+species and size return an <code>ArraySpeciesBySize</code> object and those that
+give values that depend on species and time return an <code>ArraySpeciesByTime</code>
+object. These objects have attributes that store the name of the value,
+its units, and a reference to the <code>MizerParams</code> object that the value was
+computed from. This allows the plots to be automatically labelled and
+coloured appropriately.</p>
+    </div>
+    <div class="section level2">
+    <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
+    <div class="dont-index"><p>Other plotting functions:
+<code><a href="animateSpectra.html">animateSpectra()</a></code>,
+<code><a href="plotBiomass.html">plotBiomass()</a></code>,
+<code><a href="plotDiet.html">plotDiet()</a></code>,
+<code><a href="plotFMort.html">plotFMort()</a></code>,
+<code><a href="plotFeedingLevel.html">plotFeedingLevel()</a></code>,
+<code><a href="plotGrowthCurves.html">plotGrowthCurves()</a></code>,
+<code><a href="plotMizerParams.html">plotMizerParams</a></code>,
+<code><a href="plotMizerSim.html">plotMizerSim</a></code>,
+<code><a href="plotPredMort.html">plotPredMort()</a></code>,
+<code><a href="plotSpectra.html">plotSpectra()</a></code>,
+<code><a href="plotYield.html">plotYield()</a></code>,
+<code><a href="plotYieldGear.html">plotYieldGear()</a></code>,
+<code><a href="plotting_functions.html">plotting_functions</a></code></p></div>
+    </div>
+
+    <div class="section level2">
+    <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="co"># \donttest{</span></span></span>
+<span class="r-in"><span><span class="fu">plot</span><span class="op">(</span><span class="fu"><a href="getEncounter.html">getEncounter</a></span><span class="op">(</span><span class="va">NS_params</span><span class="op">)</span><span class="op">)</span></span></span>
+<span class="r-plt img"><img src="plot-1.png" alt="" width="700" height="433"></span>
+<span class="r-in"><span><span class="fu">plot</span><span class="op">(</span><span class="fu"><a href="getFeedingLevel.html">getFeedingLevel</a></span><span class="op">(</span><span class="va">NS_params</span><span class="op">)</span>, species <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"Cod"</span>, <span class="st">"Herring"</span><span class="op">)</span><span class="op">)</span></span></span>
+<span class="r-plt img"><img src="plot-2.png" alt="" width="700" height="433"></span>
+<span class="r-in"><span><span class="co"># }</span></span></span>
+<span class="r-in"><span><span class="co"># \donttest{</span></span></span>
+<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/pkg/plotly/man/ggplotly.html" class="external-link">ggplotly</a></span><span class="op">(</span><span class="fu"><a href="getEncounter.html">getEncounter</a></span><span class="op">(</span><span class="va">NS_params</span><span class="op">)</span><span class="op">)</span></span></span>
+<div id="htmlwidget-e5c8c404fe174e4c81bd" style="width:700px;height:432.632880098888px;" class="plotly html-widget"></div>
+<script type="application/json" 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Saithe<br />w: 8.192517e+01<br />value: 1.423090e+03<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />w: 9.776638e+01<br />value: 1.681093e+03<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />w: 1.166707e+02<br />value: 1.992901e+03<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />w: 1.392303e+02<br />value: 2.370179e+03<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />w: 1.661521e+02<br />value: 2.826704e+03<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />w: 1.982796e+02<br />value: 3.378662e+03<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />w: 2.366193e+02<br />value: 4.044932e+03<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />w: 2.823725e+02<br />value: 4.846912e+03<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />w: 3.369726e+02<br />value: 5.808273e+03<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />w: 4.021302e+02<br />value: 6.954434e+03<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />w: 4.798868e+02<br />value: 8.311746e+03<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />w: 5.726786e+02<br />value: 9.906357e+03<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />w: 6.834128e+02<br />value: 1.176279e+04<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />w: 8.155588e+02<br />value: 1.390231e+04<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />w: 9.732567e+02<br />value: 1.634112e+04<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />w: 1.161447e+03<br />value: 1.908882e+04<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />w: 1.386027e+03<br />value: 2.214683e+04<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />w: 1.654032e+03<br />value: 2.550747e+04<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />w: 1.973858e+03<br />value: 2.915375e+04<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />w: 2.355527e+03<br />value: 3.306057e+04<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />w: 2.810996e+03<br />value: 3.719718e+04<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />w: 3.354536e+03<br />value: 4.153158e+04<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />w: 4.003175e+03<br />value: 4.603705e+04<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />w: 4.777236e+03<br />value: 5.070089e+04<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />w: 5.700972e+03<br />value: 5.553545e+04<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />w: 6.803322e+03<br />value: 6.059112e+04<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />w: 8.118825e+03<br />value: 6.597066e+04<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />w: 9.688696e+03<br />value: 7.184407e+04<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />w: 1.156212e+04<br />value: 7.846291e+04<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />w: 1.379779e+04<br />value: 8.617278e+04<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />w: 1.646576e+04<br />value: 9.542256e+04<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />w: 1.964961e+04<br />value: 1.067692e+05<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />w: 2.344909e+04<br />value: 1.208765e+05<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />w: 2.798325e+04<br />value: 1.385071e+05<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />w: 3.339415e+04<br />value: 1.605061e+05<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe"],"type":"scatter","mode":"lines","line":{"width":3.0236220472440949,"color":"rgba(160,141,251,1)","dash":"solid"},"hoveron":"points","name":"Saithe","legendgroup":"Saithe","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","frame":null}],"layout":{"margin":{"t":23.305936073059364,"r":7.3059360730593621,"b":37.260273972602747,"l":54.794520547945211},"plot_bgcolor":"rgba(235,235,235,1)","paper_bgcolor":"rgba(255,255,255,1)","font":{"color":"rgba(0,0,0,1)","family":"","size":14.611872146118724},"xaxis":{"domain":[0,1],"automargin":true,"type":"linear","autorange":false,"range":[-3.3800221246600288,4.9804646178606076],"tickmode":"array","ticktext":["1e-03","1e-02","1e-01","1e+00","1e+01","1e+02","1e+03","1e+04"],"tickvals":[-3,-2,-1,0,0.99999999999999956,1.9999999999999996,2.9999999999999996,3.9999999999999996],"categoryorder":"array","categoryarray":["1e-03","1e-02","1e-01","1e+00","1e+01","1e+02","1e+03","1e+04"],"nticks":null,"ticks":"outside","tickcolor":"rgba(51,51,51,1)","ticklen":3.6529680365296811,"tickwidth":0.66417600664176002,"showticklabels":true,"tickfont":{"color":"rgba(77,77,77,1)","family":"","size":11.68949771689498},"tickangle":-0,"showline":false,"linecolor":null,"linewidth":0,"showgrid":true,"gridcolor":"rgba(255,255,255,1)","gridwidth":0.66417600664176002,"zeroline":false,"anchor":"y","title":{"text":"Size [g]","font":{"color":"rgba(0,0,0,1)","family":"","size":14.611872146118724}},"hoverformat":".2f"},"yaxis":{"domain":[0,1],"automargin":true,"type":"linear","autorange":false,"range":[-21845.601693115423,458762.74760541564],"tickmode":"array","ticktext":["0","1e+05","2e+05","3e+05","4e+05"],"tickvals":[0,100000,200000,300000,400000],"categoryorder":"array","categoryarray":["0","1e+05","2e+05","3e+05","4e+05"],"nticks":null,"ticks":"outside","tickcolor":"rgba(51,51,51,1)","ticklen":3.6529680365296811,"tickwidth":0.66417600664176002,"showticklabels":true,"tickfont":{"color":"rgba(77,77,77,1)","family":"","size":11.68949771689498},"tickangle":-0,"showline":false,"linecolor":null,"linewidth":0,"showgrid":true,"gridcolor":"rgba(255,255,255,1)","gridwidth":0.66417600664176002,"zeroline":false,"anchor":"x","title":{"text":"Encounter rate [g/year]","font":{"color":"rgba(0,0,0,1)","family":"","size":14.611872146118724}},"hoverformat":".2f"},"shapes":[],"showlegend":true,"legend":{"bgcolor":"rgba(255,255,255,1)","bordercolor":"transparent","borderwidth":1.8897637795275593,"font":{"color":"rgba(0,0,0,1)","family":"","size":11.68949771689498},"title":{"text":"Legend","font":{"color":"rgba(0,0,0,1)","family":"","size":14.611872146118724}}},"hovermode":"closest","barmode":"relative"},"config":{"doubleClick":"reset","modeBarButtonsToAdd":["hoverclosest","hovercompare"],"showSendToCloud":false},"source":"A","attrs":{"240f6232edd7c":{"x":{},"y":{},"colour":{},"linetype":{},"linewidth":{},"type":"scatter"}},"cur_data":"240f6232edd7c","visdat":{"240f6232edd7c":["function (y) ","x"]},"highlight":{"on":"plotly_click","persistent":false,"dynamic":false,"selectize":false,"opacityDim":0.20000000000000001,"selected":{"opacity":1},"debounce":0},"shinyEvents":["plotly_hover","plotly_click","plotly_selected","plotly_relayout","plotly_brushed","plotly_brushing","plotly_clickannotation","plotly_doubleclick","plotly_deselect","plotly_afterplot","plotly_sunburstclick"],"base_url":"https://plot.ly"},"evals":[],"jsHooks":[]}</script><span class="r-in"><span><span class="co"># }</span></span></span>
+<span class="r-in"><span><span class="co"># \donttest{</span></span></span>
+<span class="r-in"><span><span class="fu">plot</span><span class="op">(</span><span class="fu"><a href="getBiomass.html">getBiomass</a></span><span class="op">(</span><span class="va">NS_sim</span><span class="op">)</span><span class="op">)</span></span></span>
+<span class="r-plt img"><img src="plot-3.png" alt="" width="700" height="433"></span>
+<span class="r-in"><span><span class="fu">plot</span><span class="op">(</span><span class="fu"><a href="getBiomass.html">getBiomass</a></span><span class="op">(</span><span class="va">NS_sim</span><span class="op">)</span>, species <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"Cod"</span>, <span class="st">"Herring"</span><span class="op">)</span>, total <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></span>
+<span class="r-plt img"><img src="plot-4.png" alt="" width="700" height="433"></span>
+<span class="r-in"><span><span class="fu">plot</span><span class="op">(</span><span class="fu"><a href="getYield.html">getYield</a></span><span class="op">(</span><span class="va">NS_sim</span><span class="op">)</span>, species <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"Cod"</span>, <span class="st">"Herring"</span><span class="op">)</span><span class="op">)</span></span></span>
+<span class="r-plt img"><img src="plot-5.png" alt="" width="700" height="433"></span>
+<span class="r-in"><span><span class="co"># }</span></span></span>
+<span class="r-in"><span><span class="co"># \donttest{</span></span></span>
+<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/pkg/plotly/man/ggplotly.html" class="external-link">ggplotly</a></span><span class="op">(</span><span class="fu"><a href="getBiomass.html">getBiomass</a></span><span class="op">(</span><span class="va">NS_sim</span><span class="op">)</span><span class="op">)</span></span></span>
+<div id="htmlwidget-36aa3d2a04d42bbc2145" style="width:700px;height:432.632880098888px;" class="plotly html-widget"></div>
+<script type="application/json" data-for="htmlwidget-36aa3d2a04d42bbc2145">{"x":{"data":[{"x":[1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010],"y":[10.706174656400414,10.745844626663066,10.738902625712008,10.725668242450958,10.713011878779657,10.697335824202748,10.706202549056917,10.705625190979097,10.710031595858137,10.725438907807101,10.72920134826629,10.726249178007899,10.732065813857888,10.744874994606485,10.752379210720511,10.746878302030311,10.74998739465093,10.551591977021985,10.421639693064099,10.318776189932246,10.27403497376735,10.280964968355638,10.353309594592067,10.371208000787874,10.391848426161788,10.379639074890221,10.365059985371026,10.372599225012236,10.351959771568577,10.405301405033951,10.479622576837757,10.502386625041137,10.580677692726908,10.546599473834249,10.523167781709212,10.571946207924883,10.54504251179241,10.592907016569786,10.629935160506911,10.677998841810256,10.62090335044039,10.63386797395412,10.602618195582776,10.55842570529442],"text":["Species: Sprat<br />Year: 1967<br />Biomass: 5.083638e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat","Species: Sprat<br />Year: 1968<br />Biomass: 5.569864e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat","Species: Sprat<br />Year: 1969<br />Biomass: 5.481540e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat","Species: Sprat<br />Year: 1970<br />Biomass: 5.317019e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat","Species: Sprat<br />Year: 1971<br />Biomass: 5.164305e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat","Species: Sprat<br />Year: 1972<br />Biomass: 4.981221e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat","Species: Sprat<br />Year: 1973<br />Biomass: 5.083965e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat","Species: Sprat<br />Year: 1974<br />Biomass: 5.077211e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat","Species: Sprat<br />Year: 1975<br />Biomass: 5.128987e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat","Species: Sprat<br />Year: 1976<br />Biomass: 5.314212e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat","Species: Sprat<br />Year: 1977<br />Biomass: 5.360451e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat","Species: Sprat<br />Year: 1978<br />Biomass: 5.324136e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat","Species: Sprat<br />Year: 1979<br />Biomass: 5.395924e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat","Species: Sprat<br />Year: 1980<br />Biomass: 5.557443e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat","Species: Sprat<br />Year: 1981<br />Biomass: 5.654305e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat","Species: Sprat<br />Year: 1982<br />Biomass: 5.583137e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat","Species: Sprat<br />Year: 1983<br />Biomass: 5.623250e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat","Species: Sprat<br />Year: 1984<br />Biomass: 3.561164e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat","Species: Sprat<br />Year: 1985<br />Biomass: 2.640217e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat","Species: Sprat<br />Year: 1986<br />Biomass: 2.083417e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat","Species: Sprat<br />Year: 1987<br />Biomass: 1.879468e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat","Species: Sprat<br />Year: 1988<br />Biomass: 1.909699e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat","Species: Sprat<br />Year: 1989<br />Biomass: 2.255847e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat","Species: Sprat<br />Year: 1990<br />Biomass: 2.350758e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat","Species: Sprat<br />Year: 1991<br />Biomass: 2.465179e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat","Species: Sprat<br />Year: 1992<br />Biomass: 2.396840e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat","Species: Sprat<br />Year: 1993<br />Biomass: 2.317715e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat","Species: Sprat<br />Year: 1994<br />Biomass: 2.358301e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat","Species: Sprat<br />Year: 1995<br />Biomass: 2.248846e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat","Species: Sprat<br />Year: 1996<br />Biomass: 2.542737e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat","Species: Sprat<br />Year: 1997<br />Biomass: 3.017328e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat","Species: Sprat<br />Year: 1998<br />Biomass: 3.179704e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat","Species: Sprat<br />Year: 1999<br />Biomass: 3.807831e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat","Species: Sprat<br />Year: 2000<br />Biomass: 3.520460e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat","Species: Sprat<br />Year: 2001<br />Biomass: 3.335553e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat","Species: Sprat<br />Year: 2002<br />Biomass: 3.732039e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat","Species: Sprat<br />Year: 2003<br />Biomass: 3.507862e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat","Species: Sprat<br />Year: 2004<br />Biomass: 3.916580e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat","Species: Sprat<br />Year: 2005<br />Biomass: 4.265158e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat","Species: Sprat<br />Year: 2006<br />Biomass: 4.764297e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat","Species: Sprat<br />Year: 2007<br />Biomass: 4.177374e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat","Species: Sprat<br />Year: 2008<br />Biomass: 4.303957e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat","Species: Sprat<br />Year: 2009<br />Biomass: 4.005145e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat","Species: Sprat<br />Year: 2010<br />Biomass: 3.617643e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat"],"type":"scatter","mode":"lines","line":{"width":3.0236220472440949,"color":"rgba(129,95,0,1)","dash":"solid"},"hoveron":"points","name":"Sprat","legendgroup":"Sprat","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","frame":null},{"x":[1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010],"y":[12.562574715099824,12.572585309611618,12.567561792814953,12.550224834264975,12.543126661475073,12.538080483961169,12.540768320609217,12.544395089743665,12.544623601174063,12.544634754388833,12.547601288704927,12.543169027156178,12.54300381220745,12.550933610918506,12.561621425014046,12.563527045079589,12.563048431863141,12.34164702038443,12.193223558888288,12.115879568214458,12.05543900808655,12.077317407813041,11.986574808890429,11.942451968714341,11.980086045954518,12.023117568177007,12.049457457719988,12.097837851426199,12.137228895220053,12.144213023060631,12.141870173774247,12.077838622656467,12.03789244413764,11.945959433383296,11.898096863188686,11.865861482918223,11.881553078790059,11.942463991013817,11.923253596657853,12.065047819826706,12.117838998357358,12.161604364727731,12.157552091158241,12.171813761744303],"text":["Species: Sandeel<br />Year: 1967<br />Biomass: 3.652370e+12<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel","Species: Sandeel<br />Year: 1968<br />Biomass: 3.737535e+12<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel","Species: Sandeel<br />Year: 1969<br />Biomass: 3.694552e+12<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel","Species: Sandeel<br />Year: 1970<br />Biomass: 3.549971e+12<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel","Species: Sandeel<br />Year: 1971<br />Biomass: 3.492422e+12<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel","Species: Sandeel<br />Year: 1972<br />Biomass: 3.452077e+12<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel","Species: Sandeel<br />Year: 1973<br />Biomass: 3.473508e+12<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel","Species: Sandeel<br />Year: 1974<br />Biomass: 3.502637e+12<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel","Species: Sandeel<br />Year: 1975<br />Biomass: 3.504480e+12<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel","Species: Sandeel<br />Year: 1976<br />Biomass: 3.504570e+12<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel","Species: Sandeel<br />Year: 1977<br />Biomass: 3.528591e+12<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel","Species: Sandeel<br />Year: 1978<br />Biomass: 3.492762e+12<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel","Species: Sandeel<br />Year: 1979<br />Biomass: 3.491434e+12<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel","Species: Sandeel<br />Year: 1980<br />Biomass: 3.555770e+12<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel","Species: Sandeel<br />Year: 1981<br />Biomass: 3.644361e+12<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel","Species: Sandeel<br />Year: 1982<br />Biomass: 3.660387e+12<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel","Species: Sandeel<br />Year: 1983<br />Biomass: 3.656356e+12<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel","Species: Sandeel<br />Year: 1984<br />Biomass: 2.196074e+12<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel","Species: Sandeel<br />Year: 1985<br />Biomass: 1.560356e+12<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel","Species: Sandeel<br />Year: 1986<br />Biomass: 1.305809e+12<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel","Species: Sandeel<br />Year: 1987<br />Biomass: 1.136159e+12<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel","Species: Sandeel<br />Year: 1988<br />Biomass: 1.194861e+12<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel","Species: Sandeel<br />Year: 1989<br />Biomass: 9.695603e+11<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel","Species: Sandeel<br />Year: 1990<br />Biomass: 8.758948e+11<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel","Species: Sandeel<br />Year: 1991<br />Biomass: 9.551818e+11<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel","Species: Sandeel<br />Year: 1992<br />Biomass: 1.054672e+12<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel","Species: Sandeel<br />Year: 1993<br />Biomass: 1.120618e+12<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel","Species: Sandeel<br />Year: 1994<br />Biomass: 1.252673e+12<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel","Species: Sandeel<br />Year: 1995<br />Biomass: 1.371604e+12<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel","Species: Sandeel<br />Year: 1996<br />Biomass: 1.393840e+12<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel","Species: Sandeel<br />Year: 1997<br />Biomass: 1.386341e+12<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel","Species: Sandeel<br />Year: 1998<br />Biomass: 1.196296e+12<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel","Species: Sandeel<br />Year: 1999<br />Biomass: 1.091170e+12<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel","Species: Sandeel<br />Year: 2000<br />Biomass: 8.829974e+11<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel","Species: Sandeel<br />Year: 2001<br />Biomass: 7.908550e+11<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel","Species: Sandeel<br />Year: 2002<br />Biomass: 7.342796e+11<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel","Species: Sandeel<br />Year: 2003<br />Biomass: 7.612952e+11<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel","Species: Sandeel<br />Year: 2004<br />Biomass: 8.759191e+11<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel","Species: Sandeel<br />Year: 2005<br />Biomass: 8.380185e+11<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel","Species: Sandeel<br />Year: 2006<br />Biomass: 1.161577e+12<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel","Species: Sandeel<br />Year: 2007<br />Biomass: 1.311714e+12<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel","Species: Sandeel<br />Year: 2008<br />Biomass: 1.450789e+12<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel","Species: Sandeel<br />Year: 2009<br />Biomass: 1.437315e+12<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel","Species: Sandeel<br />Year: 2010<br />Biomass: 1.485299e+12<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel"],"type":"scatter","mode":"lines","line":{"width":3.0236220472440949,"color":"rgba(98,55,226,1)","dash":"solid"},"hoveron":"points","name":"Sandeel","legendgroup":"Sandeel","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","frame":null},{"x":[1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010],"y":[11.568011595202766,11.594366692171507,11.549493137080772,11.565589909662043,11.577394693095878,11.555182521615533,11.578739183181703,11.568826077562234,11.567389712938311,11.567508935692896,11.566542578199885,11.55806391446322,11.564480636362612,11.565740389835009,11.566574114896483,11.5543478848082,11.564511962969533,11.474068663778517,11.414650016326535,11.402780731143325,11.435514698392387,11.435634649801401,11.471709609220918,11.456659694105074,11.462054428185635,11.448138615557934,11.449204178922599,11.449535336403349,11.438235904854341,11.466235694875136,11.491284010479671,11.474261265364532,11.5059604921448,11.477385659183364,11.470751188699797,11.491959888049786,11.466660626148922,11.488628531735536,11.508830059995274,11.53705211896569,11.52099319318974,11.528224415988015,11.513018302385399,11.498146010039434],"text":["Species: N.pout<br />Year: 1967<br />Biomass: 3.698381e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout","Species: N.pout<br />Year: 1968<br />Biomass: 3.929766e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout","Species: N.pout<br />Year: 1969<br />Biomass: 3.543995e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout","Species: N.pout<br />Year: 1970<br />Biomass: 3.677815e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout","Species: N.pout<br />Year: 1971<br />Biomass: 3.779155e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout","Species: N.pout<br />Year: 1972<br />Biomass: 3.590728e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout","Species: N.pout<br />Year: 1973<br />Biomass: 3.790873e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout","Species: N.pout<br />Year: 1974<br />Biomass: 3.705323e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout","Species: N.pout<br />Year: 1975<br />Biomass: 3.693088e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout","Species: N.pout<br />Year: 1976<br />Biomass: 3.694102e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout","Species: N.pout<br />Year: 1977<br />Biomass: 3.685892e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout","Species: N.pout<br />Year: 1978<br />Biomass: 3.614631e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout","Species: N.pout<br />Year: 1979<br />Biomass: 3.668433e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout","Species: N.pout<br />Year: 1980<br />Biomass: 3.679090e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout","Species: N.pout<br />Year: 1981<br />Biomass: 3.686159e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout","Species: N.pout<br />Year: 1982<br />Biomass: 3.583834e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout","Species: N.pout<br />Year: 1983<br />Biomass: 3.668698e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout","Species: N.pout<br />Year: 1984<br />Biomass: 2.978987e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout","Species: N.pout<br />Year: 1985<br />Biomass: 2.598065e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout","Species: N.pout<br />Year: 1986<br />Biomass: 2.528021e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout","Species: N.pout<br />Year: 1987<br />Biomass: 2.725930e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout","Species: N.pout<br />Year: 1988<br />Biomass: 2.726683e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout","Species: N.pout<br />Year: 1989<br />Biomass: 2.962850e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout","Species: N.pout<br />Year: 1990<br />Biomass: 2.861935e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout","Species: N.pout<br />Year: 1991<br />Biomass: 2.897707e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout","Species: N.pout<br />Year: 1992<br />Biomass: 2.806329e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout","Species: N.pout<br />Year: 1993<br />Biomass: 2.813223e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout","Species: N.pout<br />Year: 1994<br />Biomass: 2.815369e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout","Species: N.pout<br />Year: 1995<br />Biomass: 2.743064e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout","Species: N.pout<br />Year: 1996<br />Biomass: 2.925740e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout","Species: N.pout<br />Year: 1997<br />Biomass: 3.099446e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout","Species: N.pout<br />Year: 1998<br />Biomass: 2.980309e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout","Species: N.pout<br />Year: 1999<br />Biomass: 3.205978e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout","Species: N.pout<br />Year: 2000<br />Biomass: 3.001827e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout","Species: N.pout<br />Year: 2001<br />Biomass: 2.956318e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout","Species: N.pout<br />Year: 2002<br />Biomass: 3.104273e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout","Species: N.pout<br />Year: 2003<br />Biomass: 2.928604e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout","Species: N.pout<br />Year: 2004<br />Biomass: 3.080552e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout","Species: N.pout<br />Year: 2005<br />Biomass: 3.227231e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout","Species: N.pout<br />Year: 2006<br />Biomass: 3.443913e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout","Species: N.pout<br />Year: 2007<br />Biomass: 3.318893e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout","Species: N.pout<br />Year: 2008<br />Biomass: 3.374616e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout","Species: N.pout<br />Year: 2009<br />Biomass: 3.258504e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout","Species: N.pout<br />Year: 2010<br />Biomass: 3.148807e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout"],"type":"scatter","mode":"lines","line":{"width":3.0236220472440949,"color":"rgba(141,166,0,1)","dash":"solid"},"hoveron":"points","name":"N.pout","legendgroup":"N.pout","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","frame":null},{"x":[1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010],"y":[11.719603812684481,11.606257165004381,11.453002677934274,11.406280175598772,11.40143448478257,11.338891277201943,11.440436127176433,11.414398386153049,11.411026719540045,11.348266568536591,11.332909443723208,11.41245499627691,11.588464681612903,11.683942171732701,11.695377214042757,11.676045035418834,11.687369211237868,11.693146461721874,11.67253208104793,11.610847515344526,11.608824071803499,11.612822327773429,11.616427986778294,11.627265365208533,11.643835105113908,11.634174202562757,11.614017792764697,11.58114129076268,11.568174069547059,11.554771093657097,11.611032425380651,11.632797192410871,11.634549330087625,11.669875659316261,11.684209610481169,11.68495334070546,11.679314373738864,11.669247389717446,11.65020483557573,11.633633580807386,11.632141254530513,11.619355850362442,11.608648184365398,11.61089871295496],"text":["Species: Herring<br />Year: 1967<br />Biomass: 5.243289e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring","Species: Herring<br />Year: 1968<br />Biomass: 4.038845e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring","Species: Herring<br />Year: 1969<br />Biomass: 2.837937e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring","Species: Herring<br />Year: 1970<br />Biomass: 2.548474e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring","Species: Herring<br />Year: 1971<br />Biomass: 2.520197e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring","Species: Herring<br />Year: 1972<br />Biomass: 2.182184e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring","Species: Herring<br />Year: 1973<br />Biomass: 2.756996e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring","Species: Herring<br />Year: 1974<br />Biomass: 2.596560e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring","Species: Herring<br />Year: 1975<br />Biomass: 2.576480e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring","Species: Herring<br />Year: 1976<br />Biomass: 2.229803e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring","Species: Herring<br />Year: 1977<br />Biomass: 2.152333e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring","Species: Herring<br />Year: 1978<br />Biomass: 2.584967e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring","Species: Herring<br />Year: 1979<br />Biomass: 3.876722e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring","Species: Herring<br />Year: 1980<br />Biomass: 4.829945e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring","Species: Herring<br />Year: 1981<br />Biomass: 4.958807e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring","Species: Herring<br />Year: 1982<br />Biomass: 4.742912e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring","Species: Herring<br />Year: 1983<br />Biomass: 4.868209e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring","Species: Herring<br />Year: 1984<br />Biomass: 4.933402e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring","Species: Herring<br />Year: 1985<br />Biomass: 4.704702e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring","Species: Herring<br />Year: 1986<br />Biomass: 4.081760e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring","Species: Herring<br />Year: 1987<br />Biomass: 4.062787e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring","Species: Herring<br />Year: 1988<br />Biomass: 4.100363e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring","Species: Herring<br />Year: 1989<br />Biomass: 4.134548e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring","Species: Herring<br />Year: 1990<br />Biomass: 4.239019e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring","Species: Herring<br />Year: 1991<br />Biomass: 4.403876e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring","Species: Herring<br />Year: 1992<br />Biomass: 4.306993e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring","Species: Herring<br />Year: 1993<br />Biomass: 4.111666e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring","Species: Herring<br />Year: 1994<br />Biomass: 3.811898e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring","Species: Herring<br />Year: 1995<br />Biomass: 3.699764e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring","Species: Herring<br />Year: 1996<br />Biomass: 3.587328e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring","Species: Herring<br />Year: 1997<br />Biomass: 4.083499e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring","Species: Herring<br />Year: 1998<br />Biomass: 4.293359e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring","Species: Herring<br />Year: 1999<br />Biomass: 4.310715e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring","Species: Herring<br />Year: 2000<br />Biomass: 4.676012e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring","Species: Herring<br />Year: 2001<br />Biomass: 4.832920e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring","Species: Herring<br />Year: 2002<br />Biomass: 4.841204e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring","Species: Herring<br />Year: 2003<br />Biomass: 4.778751e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring","Species: Herring<br />Year: 2004<br />Biomass: 4.669253e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring","Species: Herring<br />Year: 2005<br />Biomass: 4.468943e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring","Species: Herring<br />Year: 2006<br />Biomass: 4.301635e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring","Species: Herring<br />Year: 2007<br />Biomass: 4.286879e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring","Species: Herring<br />Year: 2008<br />Biomass: 4.162515e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring","Species: Herring<br />Year: 2009<br />Biomass: 4.061142e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring","Species: Herring<br />Year: 2010<br />Biomass: 4.082242e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring"],"type":"scatter","mode":"lines","line":{"width":3.0236220472440949,"color":"rgba(222,83,255,1)","dash":"solid"},"hoveron":"points","name":"Herring","legendgroup":"Herring","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","frame":null},{"x":[1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010],"y":[10.079195576957916,10.115679506469309,10.193534290397814,10.242147037808179,10.237424203335737,10.210247434722991,10.187019628716421,10.175747702471016,10.17245037689452,10.170489462666923,10.179942052012763,10.180854266840665,10.18307145446691,10.182729737438894,10.197488603348232,10.214128566922337,10.23094938406555,10.244639099327589,10.246380191479325,10.237178264717201,10.223655295201707,10.217612688213345,10.221888165735024,10.232978030240918,10.241551785633915,10.23765598806691,10.231134176705726,10.223946875330306,10.226156710519932,10.230362827957666,10.239091598725802,10.242519980111465,10.253460079713948,10.27182775120008,10.290802529406342,10.278949582930293,10.267904253980557,10.252520705832143,10.24429788563994,10.239533942212013,10.228301067434009,10.204140425623772,10.170259834580822,10.129003934800366],"text":["Species: Dab<br />Year: 1967<br />Biomass: 1.200040e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab","Species: Dab<br />Year: 1968<br />Biomass: 1.305207e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab","Species: Dab<br />Year: 1969<br />Biomass: 1.561472e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab","Species: Dab<br />Year: 1970<br />Biomass: 1.746413e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab","Species: Dab<br />Year: 1971<br />Biomass: 1.727524e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab","Species: Dab<br />Year: 1972<br />Biomass: 1.622734e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab","Species: Dab<br />Year: 1973<br />Biomass: 1.538224e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab","Species: Dab<br />Year: 1974<br />Biomass: 1.498814e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab","Species: Dab<br />Year: 1975<br />Biomass: 1.487477e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab","Species: Dab<br />Year: 1976<br />Biomass: 1.480776e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab","Species: Dab<br />Year: 1977<br />Biomass: 1.513359e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab","Species: Dab<br />Year: 1978<br />Biomass: 1.516541e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab","Species: Dab<br />Year: 1979<br />Biomass: 1.524304e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab","Species: Dab<br />Year: 1980<br />Biomass: 1.523105e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab","Species: Dab<br />Year: 1981<br />Biomass: 1.575755e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab","Species: Dab<br />Year: 1982<br />Biomass: 1.637301e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab","Species: Dab<br />Year: 1983<br />Biomass: 1.701960e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab","Species: Dab<br />Year: 1984<br />Biomass: 1.756463e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab","Species: Dab<br />Year: 1985<br />Biomass: 1.763519e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab","Species: Dab<br />Year: 1986<br />Biomass: 1.726546e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab","Species: Dab<br />Year: 1987<br />Biomass: 1.673614e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab","Species: Dab<br />Year: 1988<br />Biomass: 1.650489e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab","Species: Dab<br />Year: 1989<br />Biomass: 1.666818e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab","Species: Dab<br />Year: 1990<br />Biomass: 1.709929e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab","Species: Dab<br />Year: 1991<br />Biomass: 1.744021e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab","Species: Dab<br />Year: 1992<br />Biomass: 1.728447e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab","Species: Dab<br />Year: 1993<br />Biomass: 1.702684e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab","Species: Dab<br />Year: 1994<br />Biomass: 1.674738e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab","Species: Dab<br />Year: 1995<br />Biomass: 1.683281e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab","Species: Dab<br />Year: 1996<br />Biomass: 1.699663e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab","Species: Dab<br />Year: 1997<br />Biomass: 1.734170e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab","Species: Dab<br />Year: 1998<br />Biomass: 1.747914e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab","Species: Dab<br />Year: 1999<br />Biomass: 1.792504e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab","Species: Dab<br />Year: 2000<br />Biomass: 1.869940e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab","Species: Dab<br />Year: 2001<br />Biomass: 1.953451e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab","Species: Dab<br />Year: 2002<br />Biomass: 1.900858e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab","Species: Dab<br />Year: 2003<br />Biomass: 1.853123e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab","Species: Dab<br />Year: 2004<br />Biomass: 1.788631e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab","Species: Dab<br />Year: 2005<br />Biomass: 1.755084e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab","Species: Dab<br />Year: 2006<br />Biomass: 1.735937e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab","Species: Dab<br />Year: 2007<br />Biomass: 1.691613e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab","Species: Dab<br />Year: 2008<br />Biomass: 1.600075e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab","Species: Dab<br />Year: 2009<br />Biomass: 1.479994e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab","Species: Dab<br />Year: 2010<br />Biomass: 1.345873e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab"],"type":"scatter","mode":"lines","line":{"width":3.0236220472440949,"color":"rgba(14,67,0,1)","dash":"solid"},"hoveron":"points","name":"Dab","legendgroup":"Dab","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","frame":null},{"x":[1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010],"y":[11.327429475234027,11.307020751433905,11.356152128115891,11.324822689193084,11.313022851508647,11.328124744364107,11.297423155635103,11.317554422310105,11.316994957088212,11.302860319079036,11.319359133924051,11.314023311772402,11.308911004954124,11.319389123904216,11.332197756158608,11.360473073216019,11.38128836881088,11.367854809257938,11.362176377995876,11.349248692770196,11.312497252919323,11.314211260304583,11.3028743632652,11.318370305103731,11.300974021439178,11.322978745712893,11.337204840337662,11.336810066691321,11.310083452811437,11.311280868367295,11.324018923582837,11.353878800654201,11.370097419605079,11.370724299963555,11.350604210823517,11.377597784940818,11.403639892330078,11.409156229770039,11.407527431428232,11.415954522396124,11.402874239309124,11.394022289814714,11.373401593803154,11.369966080732627],"text":["Species: Whiting<br />Year: 1967<br />Biomass: 2.125345e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting","Species: Whiting<br />Year: 1968<br />Biomass: 2.027780e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting","Species: Whiting<br />Year: 1969<br />Biomass: 2.270660e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting","Species: Whiting<br />Year: 1970<br />Biomass: 2.112626e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting","Species: Whiting<br />Year: 1971<br />Biomass: 2.055999e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting","Species: Whiting<br />Year: 1972<br />Biomass: 2.128750e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting","Species: Whiting<br />Year: 1973<br />Biomass: 1.983459e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting","Species: Whiting<br />Year: 1974<br />Biomass: 2.077564e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting","Species: Whiting<br />Year: 1975<br />Biomass: 2.074889e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting","Species: Whiting<br />Year: 1976<br />Biomass: 2.008447e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting","Species: Whiting<br />Year: 1977<br />Biomass: 2.086215e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting","Species: Whiting<br />Year: 1978<br />Biomass: 2.060741e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting","Species: Whiting<br />Year: 1979<br />Biomass: 2.036625e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting","Species: Whiting<br />Year: 1980<br />Biomass: 2.086359e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting","Species: Whiting<br />Year: 1981<br />Biomass: 2.148809e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting","Species: Whiting<br />Year: 1982<br />Biomass: 2.293364e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting","Species: Whiting<br />Year: 1983<br />Biomass: 2.405960e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting","Species: Whiting<br />Year: 1984<br />Biomass: 2.332678e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting","Species: Whiting<br />Year: 1985<br />Biomass: 2.302377e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting","Species: Whiting<br />Year: 1986<br />Biomass: 2.234852e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting","Species: Whiting<br />Year: 1987<br />Biomass: 2.053512e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting","Species: Whiting<br />Year: 1988<br />Biomass: 2.061633e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting","Species: Whiting<br />Year: 1989<br />Biomass: 2.008512e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting","Species: Whiting<br />Year: 1990<br />Biomass: 2.081471e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting","Species: Whiting<br />Year: 1991<br />Biomass: 1.999742e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting","Species: Whiting<br />Year: 1992<br />Biomass: 2.103675e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting","Species: Whiting<br />Year: 1993<br />Biomass: 2.173726e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting","Species: Whiting<br />Year: 1994<br />Biomass: 2.171751e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting","Species: Whiting<br />Year: 1995<br />Biomass: 2.042130e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting","Species: Whiting<br />Year: 1996<br />Biomass: 2.047769e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting","Species: Whiting<br />Year: 1997<br />Biomass: 2.108720e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting","Species: Whiting<br />Year: 1998<br />Biomass: 2.258805e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting","Species: Whiting<br />Year: 1999<br />Biomass: 2.344755e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting","Species: Whiting<br />Year: 2000<br />Biomass: 2.348142e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting","Species: Whiting<br />Year: 2001<br />Biomass: 2.241838e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting","Species: Whiting<br />Year: 2002<br />Biomass: 2.385601e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting","Species: Whiting<br />Year: 2003<br />Biomass: 2.533027e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting","Species: Whiting<br />Year: 2004<br />Biomass: 2.565407e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting","Species: Whiting<br />Year: 2005<br />Biomass: 2.555803e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting","Species: Whiting<br />Year: 2006<br />Biomass: 2.605881e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting","Species: Whiting<br />Year: 2007<br />Biomass: 2.528566e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting","Species: Whiting<br />Year: 2008<br />Biomass: 2.477549e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting","Species: Whiting<br />Year: 2009<br />Biomass: 2.362662e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting","Species: Whiting<br />Year: 2010<br />Biomass: 2.344046e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting"],"type":"scatter","mode":"lines","line":{"width":3.0236220472440949,"color":"rgba(67,0,121,1)","dash":"solid"},"hoveron":"points","name":"Whiting","legendgroup":"Whiting","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","frame":null},{"x":[1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010],"y":[11.107210075787277,11.041928244506073,11.038771783840859,11.033521915090983,11.048759619800414,11.008978925889135,10.994769064308677,10.981052260387996,10.982333768744754,10.984987905236764,11.009389012060128,11.016385844611392,11.014253457421946,11.014420019071791,11.031676243742238,11.036077651268192,11.030747018055305,11.041442793567805,11.005978118370061,10.980216764424462,10.971768516303866,10.997209110988861,11.003173366425003,11.043729456764821,11.067868929959252,11.076703949398807,11.083521387853317,11.061246198830686,11.035702387253888,11.032592910930376,10.99658773841279,11.004169908158307,11.00724571252619,11.030991642790308,11.032744299371977,11.032381847719028,11.023857689779287,11.013569574863656,11.025304636881618,11.012218272323164,11.02755662571284,11.02027738340929,11.027734185442236,11.018082630917018],"text":["Species: Sole<br />Year: 1967<br />Biomass: 1.280000e+11<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole","Species: Sole<br />Year: 1968<br />Biomass: 1.101357e+11<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole","Species: Sole<br />Year: 1969<br />Biomass: 1.093382e+11<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole","Species: Sole<br />Year: 1970<br />Biomass: 1.080244e+11<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole","Species: Sole<br />Year: 1971<br />Biomass: 1.118818e+11<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole","Species: Sole<br />Year: 1972<br />Biomass: 1.020890e+11<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole","Species: Sole<br />Year: 1973<br />Biomass: 9.880276e+10<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole","Species: Sole<br />Year: 1974<br />Biomass: 9.573093e+10<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole","Species: Sole<br />Year: 1975<br />Biomass: 9.601382e+10<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole","Species: Sole<br />Year: 1976<br />Biomass: 9.660240e+10<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole","Species: Sole<br />Year: 1977<br />Biomass: 1.021854e+11<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole","Species: Sole<br />Year: 1978<br />Biomass: 1.038451e+11<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole","Species: Sole<br />Year: 1979<br />Biomass: 1.033364e+11<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole","Species: Sole<br />Year: 1980<br />Biomass: 1.033761e+11<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole","Species: Sole<br />Year: 1981<br />Biomass: 1.075663e+11<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole","Species: Sole<br />Year: 1982<br />Biomass: 1.086620e+11<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole","Species: Sole<br />Year: 1983<br />Biomass: 1.073364e+11<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole","Species: Sole<br />Year: 1984<br />Biomass: 1.100127e+11<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole","Species: Sole<br />Year: 1985<br />Biomass: 1.013860e+11<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole","Species: Sole<br />Year: 1986<br />Biomass: 9.554694e+10<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole","Species: Sole<br />Year: 1987<br />Biomass: 9.370624e+10<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole","Species: Sole<br />Year: 1988<br />Biomass: 9.935943e+10<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole","Species: Sole<br />Year: 1989<br />Biomass: 1.007334e+11<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole","Species: Sole<br />Year: 1990<br />Biomass: 1.105935e+11<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole","Species: Sole<br />Year: 1991<br />Biomass: 1.169146e+11<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole","Species: Sole<br />Year: 1992<br />Biomass: 1.193174e+11<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole","Species: Sole<br />Year: 1993<br />Biomass: 1.212052e+11<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole","Species: Sole<br />Year: 1994<br />Biomass: 1.151453e+11<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole","Species: Sole<br />Year: 1995<br />Biomass: 1.085681e+11<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole","Species: Sole<br />Year: 1996<br />Biomass: 1.077936e+11<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole","Species: Sole<br />Year: 1997<br />Biomass: 9.921738e+10<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole","Species: Sole<br />Year: 1998<br />Biomass: 1.009648e+11<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole","Species: Sole<br />Year: 1999<br />Biomass: 1.016824e+11<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole","Species: Sole<br />Year: 2000<br />Biomass: 1.073969e+11<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole","Species: Sole<br />Year: 2001<br />Biomass: 1.078312e+11<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole","Species: Sole<br />Year: 2002<br />Biomass: 1.077412e+11<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole","Species: Sole<br />Year: 2003<br />Biomass: 1.056471e+11<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole","Species: Sole<br />Year: 2004<br />Biomass: 1.031738e+11<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole","Species: Sole<br />Year: 2005<br />Biomass: 1.059997e+11<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole","Species: Sole<br />Year: 2006<br />Biomass: 1.028533e+11<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole","Species: Sole<br />Year: 2007<br />Biomass: 1.065508e+11<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole","Species: Sole<br />Year: 2008<br />Biomass: 1.047798e+11<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole","Species: Sole<br />Year: 2009<br />Biomass: 1.065943e+11<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole","Species: Sole<br />Year: 2010<br />Biomass: 1.042516e+11<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole"],"type":"scatter","mode":"lines","line":{"width":3.0236220472440949,"color":"rgba(108,170,114,1)","dash":"solid"},"hoveron":"points","name":"Sole","legendgroup":"Sole","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","frame":null},{"x":[1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010],"y":[11.052726198159707,11.089196124515182,11.101112459991421,11.11662358250485,11.120529982265365,11.101399536966888,11.103800429341129,11.103490449951666,11.103933338606454,11.107678482823784,11.11092586377648,11.109860697930673,11.109390019009254,11.110051434067721,11.111152786831106,11.10492317273809,11.106942946481027,11.123945163808489,11.136635385650255,11.142989744524057,11.161271724649158,11.158968790749789,11.160423545041017,11.163579173076121,11.151986253929921,11.143305198616115,11.141269485526369,11.13444651644256,11.134588773489966,11.126879457012242,11.12232455246707,11.116611640535385,11.113721357138113,11.122417431387799,11.121488514997992,11.110394061208092,11.093628449027346,11.079252253362966,11.068863038642927,11.063853650438357,11.066841170735824,11.053432104191794,11.038994149744829,11.02829498562588],"text":["Species: Gurnard<br />Year: 1967<br />Biomass: 1.129084e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard","Species: Gurnard<br />Year: 1968<br />Biomass: 1.227994e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard","Species: Gurnard<br />Year: 1969<br />Biomass: 1.262154e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard","Species: Gurnard<br />Year: 1970<br />Biomass: 1.308048e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard","Species: Gurnard<br />Year: 1971<br />Biomass: 1.319866e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard","Species: Gurnard<br />Year: 1972<br />Biomass: 1.262989e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard","Species: Gurnard<br />Year: 1973<br />Biomass: 1.269990e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard","Species: Gurnard<br />Year: 1974<br />Biomass: 1.269084e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard","Species: Gurnard<br />Year: 1975<br />Biomass: 1.270379e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard","Species: Gurnard<br />Year: 1976<br />Biomass: 1.281382e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard","Species: Gurnard<br />Year: 1977<br />Biomass: 1.290999e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard","Species: Gurnard<br />Year: 1978<br />Biomass: 1.287836e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard","Species: Gurnard<br />Year: 1979<br />Biomass: 1.286441e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard","Species: Gurnard<br />Year: 1980<br />Biomass: 1.288402e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard","Species: Gurnard<br />Year: 1981<br />Biomass: 1.291674e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard","Species: Gurnard<br />Year: 1982<br />Biomass: 1.273278e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard","Species: Gurnard<br />Year: 1983<br />Biomass: 1.279213e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard","Species: Gurnard<br />Year: 1984<br />Biomass: 1.330286e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard","Species: Gurnard<br />Year: 1985<br />Biomass: 1.369731e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard","Species: Gurnard<br />Year: 1986<br />Biomass: 1.389920e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard","Species: Gurnard<br />Year: 1987<br />Biomass: 1.449679e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard","Species: Gurnard<br />Year: 1988<br />Biomass: 1.442012e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard","Species: Gurnard<br />Year: 1989<br />Biomass: 1.446850e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard","Species: Gurnard<br />Year: 1990<br />Biomass: 1.457401e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard","Species: Gurnard<br />Year: 1991<br />Biomass: 1.419013e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard","Species: Gurnard<br />Year: 1992<br />Biomass: 1.390930e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard","Species: Gurnard<br />Year: 1993<br />Biomass: 1.384425e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard","Species: Gurnard<br />Year: 1994<br />Biomass: 1.362845e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard","Species: Gurnard<br />Year: 1995<br />Biomass: 1.363292e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard","Species: Gurnard<br />Year: 1996<br />Biomass: 1.339305e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard","Species: Gurnard<br />Year: 1997<br />Biomass: 1.325332e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard","Species: Gurnard<br />Year: 1998<br />Biomass: 1.308012e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard","Species: Gurnard<br />Year: 1999<br />Biomass: 1.299336e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard","Species: Gurnard<br />Year: 2000<br />Biomass: 1.325615e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard","Species: Gurnard<br />Year: 2001<br />Biomass: 1.322783e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard","Species: Gurnard<br />Year: 2002<br />Biomass: 1.289419e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard","Species: Gurnard<br />Year: 2003<br />Biomass: 1.240590e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard","Species: Gurnard<br />Year: 2004<br />Biomass: 1.200196e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard","Species: Gurnard<br />Year: 2005<br />Biomass: 1.171826e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard","Species: Gurnard<br />Year: 2006<br />Biomass: 1.158387e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard","Species: Gurnard<br />Year: 2007<br />Biomass: 1.166383e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard","Species: Gurnard<br />Year: 2008<br />Biomass: 1.130921e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard","Species: Gurnard<br />Year: 2009<br />Biomass: 1.093942e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard","Species: Gurnard<br />Year: 2010<br />Biomass: 1.067321e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard"],"type":"scatter","mode":"lines","line":{"width":3.0236220472440949,"color":"rgba(238,0,83,1)","dash":"solid"},"hoveron":"points","name":"Gurnard","legendgroup":"Gurnard","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","frame":null},{"x":[1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010],"y":[12.357357114060205,12.325515916408358,12.361789526684873,12.403671434813013,12.398004937981046,12.399909628355358,12.398726879245437,12.393441606881842,12.383610220382534,12.368818559412379,12.382124032460695,12.380172681132048,12.38122070687449,12.350033386827089,12.349261427441839,12.356442694316128,12.352900909066918,12.354840847450662,12.352258732432636,12.357118234457854,12.341654099094329,12.321499305842035,12.315713252036655,12.322526841972177,12.334710471062188,12.325089342279053,12.320701610630225,12.315771596011251,12.31842600221041,12.317081017712892,12.31437077509263,12.295357163212437,12.290154531712936,12.30320070698675,12.342671284389015,12.316974300565091,12.321929758308231,12.323185903843186,12.3414226548526,12.367590730711331,12.39080648418723,12.40789563176876,12.426147667144793,12.440319098027556],"text":["Species: Plaice<br />Year: 1967<br />Biomass: 2.276969e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice","Species: Plaice<br />Year: 1968<br />Biomass: 2.116001e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice","Species: Plaice<br />Year: 1969<br />Biomass: 2.300327e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice","Species: Plaice<br />Year: 1970<br />Biomass: 2.533211e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice","Species: Plaice<br />Year: 1971<br />Biomass: 2.500374e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice","Species: Plaice<br />Year: 1972<br />Biomass: 2.511364e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice","Species: Plaice<br />Year: 1973<br />Biomass: 2.504534e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice","Species: Plaice<br />Year: 1974<br />Biomass: 2.474239e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice","Species: Plaice<br />Year: 1975<br />Biomass: 2.418857e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice","Species: Plaice<br />Year: 1976<br />Biomass: 2.337860e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice","Species: Plaice<br />Year: 1977<br />Biomass: 2.410594e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice","Species: Plaice<br />Year: 1978<br />Biomass: 2.399787e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice","Species: Plaice<br />Year: 1979<br />Biomass: 2.405585e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice","Species: Plaice<br />Year: 1980<br />Biomass: 2.238893e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice","Species: Plaice<br />Year: 1981<br />Biomass: 2.234917e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice","Species: Plaice<br />Year: 1982<br />Biomass: 2.272180e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice","Species: Plaice<br />Year: 1983<br />Biomass: 2.253725e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice","Species: Plaice<br />Year: 1984<br />Biomass: 2.263815e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice","Species: Plaice<br />Year: 1985<br />Biomass: 2.250395e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice","Species: Plaice<br />Year: 1986<br />Biomass: 2.275717e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice","Species: Plaice<br />Year: 1987<br />Biomass: 2.196110e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice","Species: Plaice<br />Year: 1988<br />Biomass: 2.096521e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice","Species: Plaice<br />Year: 1989<br />Biomass: 2.068775e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice","Species: Plaice<br />Year: 1990<br />Biomass: 2.101488e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice","Species: Plaice<br />Year: 1991<br />Biomass: 2.161277e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice","Species: Plaice<br />Year: 1992<br />Biomass: 2.113924e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice","Species: Plaice<br />Year: 1993<br />Biomass: 2.092674e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice","Species: Plaice<br />Year: 1994<br />Biomass: 2.069053e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice","Species: Plaice<br />Year: 1995<br />Biomass: 2.081738e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice","Species: Plaice<br />Year: 1996<br />Biomass: 2.075301e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice","Species: Plaice<br />Year: 1997<br />Biomass: 2.062390e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice","Species: Plaice<br />Year: 1998<br />Biomass: 1.974046e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice","Species: Plaice<br />Year: 1999<br />Biomass: 1.950539e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice","Species: Plaice<br />Year: 2000<br />Biomass: 2.010022e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice","Species: Plaice<br />Year: 2001<br />Biomass: 2.201260e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice","Species: Plaice<br />Year: 2002<br />Biomass: 2.074791e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice","Species: Plaice<br />Year: 2003<br />Biomass: 2.098600e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice","Species: Plaice<br />Year: 2004<br />Biomass: 2.104679e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice","Species: Plaice<br />Year: 2005<br />Biomass: 2.194940e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice","Species: Plaice<br />Year: 2006<br />Biomass: 2.331260e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice","Species: Plaice<br />Year: 2007<br />Biomass: 2.459272e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice","Species: Plaice<br />Year: 2008<br />Biomass: 2.557971e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice","Species: Plaice<br />Year: 2009<br />Biomass: 2.667766e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice","Species: Plaice<br />Year: 2010<br />Biomass: 2.756253e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice"],"type":"scatter","mode":"lines","line":{"width":3.0236220472440949,"color":"rgba(0,121,87,1)","dash":"solid"},"hoveron":"points","name":"Plaice","legendgroup":"Plaice","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","frame":null},{"x":[1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010],"y":[11.797501411083481,11.775015110035305,11.812172299045706,11.73645112882661,11.729015056594134,11.75982318271701,11.73308194112253,11.763734663895262,11.760832409273409,11.739637986289436,11.765614460499288,11.758628411190141,11.740143449121934,11.743562633690043,11.760007784621436,11.789940129138598,11.8061547215052,11.802002774046004,11.819909244224386,11.823501699653077,11.791460548001194,11.795633259956483,11.776190632745715,11.80456784723919,11.784561830721916,11.802985880658794,11.798817564875314,11.803803649099809,11.813767625022482,11.821038211220301,11.822358407992267,11.836867563555654,11.826702637680235,11.823637393886717,11.817012808387151,11.843836286891378,11.88552070622926,11.901716370281706,11.886701444214165,11.876019301469748,11.845386083987599,11.853451421617917,11.889505259208224,11.914083071714],"text":["Species: Haddock<br />Year: 1967<br />Biomass: 6.273377e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock","Species: Haddock<br />Year: 1968<br />Biomass: 5.956829e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock","Species: Haddock<br />Year: 1969<br />Biomass: 6.488918e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock","Species: Haddock<br />Year: 1970<br />Biomass: 5.450686e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock","Species: Haddock<br />Year: 1971<br />Biomass: 5.358152e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock","Species: Haddock<br />Year: 1972<br />Biomass: 5.752057e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock","Species: Haddock<br />Year: 1973<br />Biomass: 5.408564e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock","Species: Haddock<br />Year: 1974<br />Biomass: 5.804097e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock","Species: Haddock<br />Year: 1975<br />Biomass: 5.765439e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock","Species: Haddock<br />Year: 1976<br />Biomass: 5.490830e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock","Species: Haddock<br />Year: 1977<br />Biomass: 5.829274e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock","Species: Haddock<br />Year: 1978<br />Biomass: 5.736254e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock","Species: Haddock<br />Year: 1979<br />Biomass: 5.497224e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock","Species: Haddock<br />Year: 1980<br />Biomass: 5.540674e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock","Species: Haddock<br />Year: 1981<br />Biomass: 5.754503e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock","Species: Haddock<br />Year: 1982<br />Biomass: 6.165100e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock","Species: Haddock<br />Year: 1983<br />Biomass: 6.399628e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock","Species: Haddock<br />Year: 1984<br />Biomass: 6.338738e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock","Species: Haddock<br />Year: 1985<br />Biomass: 6.605554e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock","Species: Haddock<br />Year: 1986<br />Biomass: 6.660421e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock","Species: Haddock<br />Year: 1987<br />Biomass: 6.186721e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock","Species: Haddock<br />Year: 1988<br />Biomass: 6.246450e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock","Species: Haddock<br />Year: 1989<br />Biomass: 5.972974e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock","Species: Haddock<br />Year: 1990<br />Biomass: 6.376287e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock","Species: Haddock<br />Year: 1991<br />Biomass: 6.089222e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock","Species: Haddock<br />Year: 1992<br />Biomass: 6.353103e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock","Species: Haddock<br />Year: 1993<br />Biomass: 6.292418e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock","Species: Haddock<br />Year: 1994<br />Biomass: 6.365077e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock","Species: Haddock<br />Year: 1995<br />Biomass: 6.512798e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock","Species: Haddock<br />Year: 1996<br />Biomass: 6.622748e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock","Species: Haddock<br />Year: 1997<br />Biomass: 6.642911e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock","Species: Haddock<br />Year: 1998<br />Biomass: 6.868590e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock","Species: Haddock<br />Year: 1999<br />Biomass: 6.709693e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock","Species: Haddock<br />Year: 2000<br />Biomass: 6.662503e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock","Species: Haddock<br />Year: 2001<br />Biomass: 6.561646e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock","Species: Haddock<br />Year: 2002<br />Biomass: 6.979692e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock","Species: Haddock<br />Year: 2003<br />Biomass: 7.682821e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock","Species: Haddock<br />Year: 2004<br />Biomass: 7.974737e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock","Species: Haddock<br />Year: 2005<br />Biomass: 7.703737e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock","Species: Haddock<br />Year: 2006<br />Biomass: 7.516563e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock","Species: Haddock<br />Year: 2007<br />Biomass: 7.004644e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock","Species: Haddock<br />Year: 2008<br />Biomass: 7.135944e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock","Species: Haddock<br />Year: 2009<br />Biomass: 7.753633e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock","Species: Haddock<br />Year: 2010<br />Biomass: 8.205085e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock"],"type":"scatter","mode":"lines","line":{"width":3.0236220472440949,"color":"rgba(180,41,121,1)","dash":"solid"},"hoveron":"points","name":"Haddock","legendgroup":"Haddock","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","frame":null},{"x":[1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010],"y":[12.209082856888223,11.953255465399588,11.740868178008455,11.642048566753926,11.635994797162388,11.640057408117292,11.619980485491446,11.616780266689085,11.626190540262678,11.624538753413788,11.616009530487604,11.618061342179532,11.596955382681159,11.595772240181361,11.571606142731573,11.544120513553921,11.495510431909581,11.478527718451581,11.497696602684652,11.521288302797977,11.515705300753632,11.512679116939802,11.499859980359219,11.485744749325585,11.502165808455308,11.512408901982097,11.524625140139591,11.525559790264088,11.517508700564031,11.500428549650902,11.477240608842026,11.455001226073392,11.426727442511739,11.407264487389259,11.405685995529682,11.414607075873638,11.418893957943723,11.41901577603166,11.427480592966553,11.45179698698349,11.497408089333957,11.546350279969392,11.581930800790598,11.605967296682289],"text":["Species: Cod<br />Year: 1967<br />Biomass: 1.618389e+12<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod","Species: Cod<br />Year: 1968<br />Biomass: 8.979568e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod","Species: Cod<br />Year: 1969<br />Biomass: 5.506405e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod","Species: Cod<br />Year: 1970<br />Biomass: 4.385797e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod","Species: Cod<br />Year: 1971<br />Biomass: 4.325086e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod","Species: Cod<br />Year: 1972<br />Biomass: 4.365735e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod","Species: Cod<br />Year: 1973<br />Biomass: 4.168507e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod","Species: Cod<br />Year: 1974<br />Biomass: 4.137903e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod","Species: Cod<br />Year: 1975<br />Biomass: 4.228541e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod","Species: Cod<br />Year: 1976<br />Biomass: 4.212489e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod","Species: Cod<br />Year: 1977<br />Biomass: 4.130566e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod","Species: Cod<br />Year: 1978<br />Biomass: 4.150127e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod","Species: Cod<br />Year: 1979<br />Biomass: 3.953260e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod","Species: Cod<br />Year: 1980<br />Biomass: 3.942505e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod","Species: Cod<br />Year: 1981<br />Biomass: 3.729118e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod","Species: Cod<br />Year: 1982<br />Biomass: 3.500423e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod","Species: Cod<br />Year: 1983<br />Biomass: 3.129756e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod","Species: Cod<br />Year: 1984<br />Biomass: 3.009731e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod","Species: Cod<br />Year: 1985<br />Biomass: 3.145550e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod","Species: Cod<br />Year: 1986<br />Biomass: 3.321149e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod","Species: Cod<br />Year: 1987<br />Biomass: 3.278727e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod","Species: Cod<br />Year: 1988<br />Biomass: 3.255960e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod","Species: Cod<br />Year: 1989<br />Biomass: 3.161258e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod","Species: Cod<br />Year: 1990<br />Biomass: 3.060164e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod","Species: Cod<br />Year: 1991<br />Biomass: 3.178087e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod","Species: Cod<br />Year: 1992<br />Biomass: 3.253935e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod","Species: Cod<br />Year: 1993<br />Biomass: 3.346764e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod","Species: Cod<br />Year: 1994<br />Biomass: 3.353975e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod","Species: Cod<br />Year: 1995<br />Biomass: 3.292370e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod","Species: Cod<br />Year: 1996<br />Biomass: 3.165400e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod","Species: Cod<br />Year: 1997<br />Biomass: 3.000825e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod","Species: Cod<br />Year: 1998<br />Biomass: 2.851026e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod","Species: Cod<br />Year: 1999<br />Biomass: 2.671329e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod","Species: Cod<br />Year: 2000<br />Biomass: 2.554256e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod","Species: Cod<br />Year: 2001<br />Biomass: 2.544990e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod","Species: Cod<br />Year: 2002<br />Biomass: 2.597808e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod","Species: Cod<br />Year: 2003<br />Biomass: 2.623578e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod","Species: Cod<br />Year: 2004<br />Biomass: 2.624314e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod","Species: Cod<br />Year: 2005<br />Biomass: 2.675966e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod","Species: Cod<br />Year: 2006<br />Biomass: 2.830069e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod","Species: Cod<br />Year: 2007<br />Biomass: 3.143461e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod","Species: Cod<br />Year: 2008<br />Biomass: 3.518441e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod","Species: Cod<br />Year: 2009<br />Biomass: 3.818834e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod","Species: Cod<br />Year: 2010<br />Biomass: 4.036150e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod"],"type":"scatter","mode":"lines","line":{"width":3.0236220472440949,"color":"rgba(20,35,0,1)","dash":"solid"},"hoveron":"points","name":"Cod","legendgroup":"Cod","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","frame":null},{"x":[1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010],"y":[12.026527806461885,11.929917516896309,11.92448794772803,11.950030497001533,11.920303553220617,11.934984262832536,11.917180728897643,11.906143877431116,11.866815206246223,11.882575930155811,11.819867910863845,11.85143898940485,11.89961921026282,11.936091550543747,11.92448081406943,11.961668030088328,11.91858251730212,11.878752041059977,11.839954558890224,11.821276491588584,11.793188170322752,11.833919177340912,11.838644170290152,11.820480872571178,11.836615885504013,11.846759330931176,11.830613295966209,11.853503329125653,11.862224596942566,11.890548669603104,11.89769259591135,11.93617284905898,11.925674122471301,11.915529047541861,11.928521117585298,11.942226052786259,11.95367798660876,11.963487403208269,11.977309571390688,11.959103770430513,11.941881995650929,11.942043655729067,11.912301154309947,11.889241387213781],"text":["Species: Saithe<br />Year: 1967<br />Biomass: 1.062987e+12<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />Year: 1968<br />Biomass: 8.509764e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />Year: 1969<br />Biomass: 8.404037e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />Year: 1970<br />Biomass: 8.913135e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />Year: 1971<br />Biomass: 8.323453e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />Year: 1972<br />Biomass: 8.609626e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />Year: 1973<br />Biomass: 8.263818e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />Year: 1974<br />Biomass: 8.056453e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />Year: 1975<br />Biomass: 7.358939e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />Year: 1976<br />Biomass: 7.630903e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />Year: 1977<br />Biomass: 6.604925e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />Year: 1978<br />Biomass: 7.102954e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />Year: 1979<br />Biomass: 7.936321e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />Year: 1980<br />Biomass: 8.631605e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />Year: 1981<br />Biomass: 8.403899e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />Year: 1982<br />Biomass: 9.155204e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />Year: 1983<br />Biomass: 8.290534e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />Year: 1984<br />Biomass: 7.564009e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />Year: 1985<br />Biomass: 6.917586e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />Year: 1986<br />Biomass: 6.626382e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />Year: 1987<br />Biomass: 6.211381e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />Year: 1988<br />Biomass: 6.822117e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />Year: 1989<br />Biomass: 6.896745e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />Year: 1990<br />Biomass: 6.614254e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />Year: 1991<br />Biomass: 6.864610e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />Year: 1992<br />Biomass: 7.026828e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />Year: 1993<br />Biomass: 6.770384e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />Year: 1994<br />Biomass: 7.136797e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />Year: 1995<br />Biomass: 7.281563e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />Year: 1996<br />Biomass: 7.772284e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />Year: 1997<br />Biomass: 7.901192e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />Year: 1998<br />Biomass: 8.633221e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />Year: 1999<br />Biomass: 8.427022e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />Year: 2000<br />Biomass: 8.232449e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />Year: 2001<br />Biomass: 8.482446e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />Year: 2002<br />Biomass: 8.754393e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />Year: 2003<br />Biomass: 8.988309e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />Year: 2004<br />Biomass: 9.193638e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />Year: 2005<br />Biomass: 9.490948e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />Year: 2006<br />Biomass: 9.101307e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />Year: 2007<br />Biomass: 8.747461e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />Year: 2008<br />Biomass: 8.750717e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />Year: 2009<br />Biomass: 8.171488e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe","Species: Saithe<br />Year: 2010<br />Biomass: 7.748924e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe"],"type":"scatter","mode":"lines","line":{"width":3.0236220472440949,"color":"rgba(160,141,251,1)","dash":"solid"},"hoveron":"points","name":"Saithe","legendgroup":"Saithe","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","frame":null}],"layout":{"margin":{"t":23.305936073059364,"r":7.3059360730593621,"b":37.260273972602747,"l":54.794520547945211},"plot_bgcolor":"rgba(235,235,235,1)","paper_bgcolor":"rgba(255,255,255,1)","font":{"color":"rgba(0,0,0,1)","family":"","size":14.611872146118724},"xaxis":{"domain":[0,1],"automargin":true,"type":"linear","autorange":false,"range":[1964.8499999999999,2012.1500000000001],"tickmode":"array","ticktext":["1970","1980","1990","2000","2010"],"tickvals":[1970,1980,1990,2000,2010],"categoryorder":"array","categoryarray":["1970","1980","1990","2000","2010"],"nticks":null,"ticks":"outside","tickcolor":"rgba(51,51,51,1)","ticklen":3.6529680365296811,"tickwidth":0.66417600664176002,"showticklabels":true,"tickfont":{"color":"rgba(77,77,77,1)","family":"","size":11.68949771689498},"tickangle":-0,"showline":false,"linecolor":null,"linewidth":0,"showgrid":true,"gridcolor":"rgba(255,255,255,1)","gridwidth":0.66417600664176002,"zeroline":false,"anchor":"y","title":{"text":"Year","font":{"color":"rgba(0,0,0,1)","family":"","size":14.611872146118724}},"hoverformat":".2f"},"yaxis":{"domain":[0,1],"automargin":true,"type":"linear","autorange":false,"range":[9.9545260903252313,12.697254796244303],"tickmode":"array","ticktext":["1e+10","2e+10","5e+10","1e+11","2e+11","5e+11","1e+12","2e+12"],"tickvals":[10,10.301029995663981,10.698970004336019,11,11.301029995663981,11.698970004336019,12,12.301029995663981],"categoryorder":"array","categoryarray":["1e+10","2e+10","5e+10","1e+11","2e+11","5e+11","1e+12","2e+12"],"nticks":null,"ticks":"outside","tickcolor":"rgba(51,51,51,1)","ticklen":3.6529680365296811,"tickwidth":0.66417600664176002,"showticklabels":true,"tickfont":{"color":"rgba(77,77,77,1)","family":"","size":11.68949771689498},"tickangle":-0,"showline":false,"linecolor":null,"linewidth":0,"showgrid":true,"gridcolor":"rgba(255,255,255,1)","gridwidth":0.66417600664176002,"zeroline":false,"anchor":"x","title":{"text":"Biomass [g]","font":{"color":"rgba(0,0,0,1)","family":"","size":14.611872146118724}},"hoverformat":".2f"},"shapes":[],"showlegend":true,"legend":{"bgcolor":"rgba(255,255,255,1)","bordercolor":"transparent","borderwidth":1.8897637795275593,"font":{"color":"rgba(0,0,0,1)","family":"","size":11.68949771689498},"title":{"text":"Legend","font":{"color":"rgba(0,0,0,1)","family":"","size":14.611872146118724}}},"hovermode":"closest","barmode":"relative"},"config":{"doubleClick":"reset","modeBarButtonsToAdd":["hoverclosest","hovercompare"],"showSendToCloud":false},"source":"A","attrs":{"240f6cc9bffb":{"x":{},"y":{},"colour":{},"linetype":{},"linewidth":{},"type":"scatter"}},"cur_data":"240f6cc9bffb","visdat":{"240f6cc9bffb":["function (y) ","x"]},"highlight":{"on":"plotly_click","persistent":false,"dynamic":false,"selectize":false,"opacityDim":0.20000000000000001,"selected":{"opacity":1},"debounce":0},"shinyEvents":["plotly_hover","plotly_click","plotly_selected","plotly_relayout","plotly_brushed","plotly_brushing","plotly_clickannotation","plotly_doubleclick","plotly_deselect","plotly_afterplot","plotly_sunburstclick"],"base_url":"https://plot.ly"},"evals":[],"jsHooks":[]}</script><span class="r-in"><span><span class="co"># }</span></span></span>
+</code></pre></div>
+    </div>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside></div>
+
+
+    <footer><div class="pkgdown-footer-left">
+  <p>Developed by <a href="https://www.york.ac.uk/maths/staff/gustav-delius/" class="external-link">Gustav Delius</a>, Finlay Scott, <a href="http://www.utas.edu.au/profiles/staff/imas/julia-blanchard" class="external-link">Julia Blanchard</a>, <a href="https://ken.haste.dk/" class="external-link">Ken Andersen</a>.</p>
+</div>
+
+<div class="pkgdown-footer-right">
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
+</div>
+
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+
diff --git a/docs/reference/plotBiomass.MizerSim.html b/docs/reference/plotBiomass.MizerSim.html
new file mode 100644
index 000000000..e3bb935b3
--- /dev/null
+++ b/docs/reference/plotBiomass.MizerSim.html
@@ -0,0 +1,8 @@
+<html>
+  <head>
+    <meta http-equiv="refresh" content="0;URL=https://sizespectrum.org/mizer/reference/plotBiomass.html" />
+    <meta name="robots" content="noindex">
+    <link rel="canonical" href="https://sizespectrum.org/mizer/reference/plotBiomass.html">
+  </head>
+</html>
+
diff --git a/docs/reference/plotBiomass.html b/docs/reference/plotBiomass.html
index 1d156b2e2..16eccf39c 100644
--- a/docs/reference/plotBiomass.html
+++ b/docs/reference/plotBiomass.html
@@ -5,11 +5,11 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Plot the biomass of species through time — plotBiomass"><meta name="description" content="After running a projection, the biomass of each species can be plotted
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Plot the biomass of species through time — plotBiomass"><meta name="description" content="After running a projection, the biomass of each species can be plotted
 against time. The biomass is calculated within user defined size limits
-(min_w, max_w, min_l, max_l, see getBiomass())."><meta property="og:description" content="After running a projection, the biomass of each species can be plotted
+(see getBiomass())."><meta property="og:description" content="After running a projection, the biomass of each species can be plotted
 against time. The biomass is calculated within user defined size limits
-(min_w, max_w, min_l, max_l, see getBiomass())."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
+(see getBiomass())."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
 
 
@@ -17,7 +17,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -38,13 +38,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
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     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
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     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
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     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -54,7 +62,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -80,36 +89,50 @@
     <div class="ref-description section level2">
     <p>After running a projection, the biomass of each species can be plotted
 against time. The biomass is calculated within user defined size limits
-(min_w, max_w, min_l, max_l, see <code><a href="getBiomass.html">getBiomass()</a></code>).</p>
+(see <code><a href="getBiomass.html">getBiomass()</a></code>).</p>
     </div>
 
     <div class="section level2">
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">plotBiomass</span><span class="op">(</span></span>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">plotBiomass</span><span class="op">(</span><span class="va">sim</span>, <span class="va">...</span><span class="op">)</span></span>
+<span></span>
+<span><span class="co"># S3 method for class 'MizerSim'</span></span>
+<span><span class="fu">plotBiomass</span><span class="op">(</span></span>
 <span>  <span class="va">sim</span>,</span>
 <span>  species <span class="op">=</span> <span class="cn">NULL</span>,</span>
-<span>  <span class="va">start_time</span>,</span>
-<span>  <span class="va">end_time</span>,</span>
+<span>  start_time <span class="op">=</span> <span class="cn">NULL</span>,</span>
+<span>  end_time <span class="op">=</span> <span class="cn">NULL</span>,</span>
 <span>  y_ticks <span class="op">=</span> <span class="fl">6</span>,</span>
 <span>  ylim <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="cn">NA</span>, <span class="cn">NA</span><span class="op">)</span>,</span>
 <span>  total <span class="op">=</span> <span class="cn">FALSE</span>,</span>
 <span>  background <span class="op">=</span> <span class="cn">TRUE</span>,</span>
 <span>  highlight <span class="op">=</span> <span class="cn">NULL</span>,</span>
+<span>  log <span class="op">=</span> <span class="cn">TRUE</span>,</span>
 <span>  return_data <span class="op">=</span> <span class="cn">FALSE</span>,</span>
+<span>  use_cutoff <span class="op">=</span> <span class="cn">FALSE</span>,</span>
+<span>  min_w <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/Extremes.html" class="external-link">min</a></span><span class="op">(</span><span class="va">sim</span><span class="op">@</span><span class="va">params</span><span class="op">@</span><span class="va">w</span><span class="op">)</span>,</span>
+<span>  max_w <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/Extremes.html" class="external-link">max</a></span><span class="op">(</span><span class="va">sim</span><span class="op">@</span><span class="va">params</span><span class="op">@</span><span class="va">w</span><span class="op">)</span>,</span>
+<span>  min_l <span class="op">=</span> <span class="cn">NULL</span>,</span>
+<span>  max_l <span class="op">=</span> <span class="cn">NULL</span>,</span>
 <span>  <span class="va">...</span></span>
 <span><span class="op">)</span></span>
 <span></span>
 <span><span class="fu">plotlyBiomass</span><span class="op">(</span></span>
 <span>  <span class="va">sim</span>,</span>
 <span>  species <span class="op">=</span> <span class="cn">NULL</span>,</span>
-<span>  <span class="va">start_time</span>,</span>
-<span>  <span class="va">end_time</span>,</span>
+<span>  start_time <span class="op">=</span> <span class="cn">NULL</span>,</span>
+<span>  end_time <span class="op">=</span> <span class="cn">NULL</span>,</span>
 <span>  y_ticks <span class="op">=</span> <span class="fl">6</span>,</span>
 <span>  ylim <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="cn">NA</span>, <span class="cn">NA</span><span class="op">)</span>,</span>
 <span>  total <span class="op">=</span> <span class="cn">FALSE</span>,</span>
 <span>  background <span class="op">=</span> <span class="cn">TRUE</span>,</span>
 <span>  highlight <span class="op">=</span> <span class="cn">NULL</span>,</span>
-<span>  <span class="va">...</span></span>
+<span>  log <span class="op">=</span> <span class="cn">TRUE</span>,</span>
+<span>  use_cutoff <span class="op">=</span> <span class="cn">FALSE</span>,</span>
+<span>  min_w <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/Extremes.html" class="external-link">min</a></span><span class="op">(</span><span class="va">sim</span><span class="op">@</span><span class="va">params</span><span class="op">@</span><span class="va">w</span><span class="op">)</span>,</span>
+<span>  max_w <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/Extremes.html" class="external-link">max</a></span><span class="op">(</span><span class="va">sim</span><span class="op">@</span><span class="va">params</span><span class="op">@</span><span class="va">w</span><span class="op">)</span>,</span>
+<span>  min_l <span class="op">=</span> <span class="cn">NULL</span>,</span>
+<span>  max_l <span class="op">=</span> <span class="cn">NULL</span></span>
 <span><span class="op">)</span></span></code></pre></div>
     </div>
 
@@ -121,6 +144,10 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 <dd><p>An object of class <a href="MizerSim-class.html">MizerSim</a></p></dd>
 
 
+<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
+<dd><p>Unused</p></dd>
+
+
 <dt id="arg-species">species<a class="anchor" aria-label="anchor" href="#arg-species"></a></dt>
 <dd><p>The species to be selected. Optional. By default all target
 species are selected. A vector of species names, or a
@@ -129,24 +156,23 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 
 
 <dt id="arg-start-time">start_time<a class="anchor" aria-label="anchor" href="#arg-start-time"></a></dt>
-<dd><p>The first time to be plotted. Default is the beginning
-of the time series.</p></dd>
+<dd><p>The first time to be plotted. Default (<code>NULL</code>) is the
+beginning of the time series.</p></dd>
 
 
 <dt id="arg-end-time">end_time<a class="anchor" aria-label="anchor" href="#arg-end-time"></a></dt>
-<dd><p>The last time to be plotted. Default is the end of the
-time series.</p></dd>
+<dd><p>The last time to be plotted. Default (<code>NULL</code>) is the end of
+the time series.</p></dd>
 
 
 <dt id="arg-y-ticks">y_ticks<a class="anchor" aria-label="anchor" href="#arg-y-ticks"></a></dt>
-<dd><p>The approximate number of ticks desired on the y axis</p></dd>
+<dd><p>The approximate number of ticks desired on the y axis.</p></dd>
 
 
 <dt id="arg-ylim">ylim<a class="anchor" aria-label="anchor" href="#arg-ylim"></a></dt>
 <dd><p>A numeric vector of length two providing lower and upper limits
-for the y axis. Use NA to refer to the existing minimum or maximum. Any
-values below 1e-20 are always cut off. Data is filtered to this range and
-the axis limits are set accordingly.</p></dd>
+for the y axis. Use <code>NA</code> to refer to the existing minimum or maximum. Any
+values below 1e-20 are always cut off.</p></dd>
 
 
 <dt id="arg-total">total<a class="anchor" aria-label="anchor" href="#arg-total"></a></dt>
@@ -164,31 +190,39 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 <dd><p>Name or vector of names of the species to be highlighted.</p></dd>
 
 
+<dt id="arg-log">log<a class="anchor" aria-label="anchor" href="#arg-log"></a></dt>
+<dd><p>If <code>TRUE</code> (default), use a log10 y-axis.</p></dd>
+
+
 <dt id="arg-return-data">return_data<a class="anchor" aria-label="anchor" href="#arg-return-data"></a></dt>
 <dd><p>A boolean value that determines whether the formatted data
-used for the plot is returned instead of the plot itself. Default value is FALSE</p></dd>
+used for the plot is returned instead of the plot itself. Default is FALSE.</p></dd>
 
 
-<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
-<dd><p>Arguments passed on to <code><a href="get_size_range_array.html">get_size_range_array</a></code></p><dl><dt><code>min_w</code></dt>
+<dt id="arg-use-cutoff">use_cutoff<a class="anchor" aria-label="anchor" href="#arg-use-cutoff"></a></dt>
+<dd><p>If TRUE, the <code>biomass_cutoff</code> column in the species
+parameters is used as the minimum weight for each species.</p></dd>
+
+
+<dt id="arg-min-w">min_w<a class="anchor" aria-label="anchor" href="#arg-min-w"></a></dt>
 <dd><p>Smallest weight in size range. Defaults to smallest weight in
 the model.</p></dd>
 
-    <dt><code>max_w</code></dt>
+
+<dt id="arg-max-w">max_w<a class="anchor" aria-label="anchor" href="#arg-max-w"></a></dt>
 <dd><p>Largest weight in size range. Defaults to largest weight in the
 model.</p></dd>
 
-    <dt><code>min_l</code></dt>
+
+<dt id="arg-min-l">min_l<a class="anchor" aria-label="anchor" href="#arg-min-l"></a></dt>
 <dd><p>Smallest length in size range. If supplied, this takes
 precedence over <code>min_w</code>.</p></dd>
 
-    <dt><code>max_l</code></dt>
+
+<dt id="arg-max-l">max_l<a class="anchor" aria-label="anchor" href="#arg-max-l"></a></dt>
 <dd><p>Largest length in size range. If supplied, this takes precedence
 over <code>max_w</code>.</p></dd>
 
-
-</dl></dd>
-
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
@@ -201,12 +235,13 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
     <div class="dont-index"><p><a href="plotting_functions.html">plotting_functions</a>, <code><a href="getBiomass.html">getBiomass()</a></code></p>
 <p>Other plotting functions:
 <code><a href="animateSpectra.html">animateSpectra()</a></code>,
-<code><a href="plot-MizerParams-missing-method.html">plot,MizerParams,missing-method</a></code>,
-<code><a href="plotMizerSim.html">plot,MizerSim,missing-method</a></code>,
+<code><a href="plot.html">plot</a></code>,
 <code><a href="plotDiet.html">plotDiet()</a></code>,
 <code><a href="plotFMort.html">plotFMort()</a></code>,
 <code><a href="plotFeedingLevel.html">plotFeedingLevel()</a></code>,
 <code><a href="plotGrowthCurves.html">plotGrowthCurves()</a></code>,
+<code><a href="plotMizerParams.html">plotMizerParams</a></code>,
+<code><a href="plotMizerSim.html">plotMizerSim</a></code>,
 <code><a href="plotPredMort.html">plotPredMort()</a></code>,
 <code><a href="plotSpectra.html">plotSpectra()</a></code>,
 <code><a href="plotYield.html">plotYield()</a></code>,
diff --git a/docs/reference/plotBiomassObservedVsModel-1.png b/docs/reference/plotBiomassObservedVsModel-1.png
index b645a01f6..6cfba282a 100644
Binary files a/docs/reference/plotBiomassObservedVsModel-1.png and b/docs/reference/plotBiomassObservedVsModel-1.png differ
diff --git a/docs/reference/plotBiomassObservedVsModel-2.png b/docs/reference/plotBiomassObservedVsModel-2.png
index 27632a839..e5e0598e0 100644
Binary files a/docs/reference/plotBiomassObservedVsModel-2.png and b/docs/reference/plotBiomassObservedVsModel-2.png differ
diff --git a/docs/reference/plotBiomassObservedVsModel-3.png b/docs/reference/plotBiomassObservedVsModel-3.png
index 53e63b85f..7b59a4343 100644
Binary files a/docs/reference/plotBiomassObservedVsModel-3.png and b/docs/reference/plotBiomassObservedVsModel-3.png differ
diff --git a/docs/reference/plotBiomassObservedVsModel.html b/docs/reference/plotBiomassObservedVsModel.html
index 84f4f21a1..beb97bbf4 100644
--- a/docs/reference/plotBiomassObservedVsModel.html
+++ b/docs/reference/plotBiomassObservedVsModel.html
@@ -5,17 +5,19 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Plotting observed vs. model biomass data — plotBiomassObservedVsModel"><meta name="description" content="
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Plotting observed vs. model biomass data — plotBiomassObservedVsModel"><meta name="description" content="
 If biomass observations are available for at least some species via the
 biomass_observed column in the species parameter data frame, this function
 plots the biomass of each species in the model against the observed
 biomasses. When called with a MizerSim object, the plot will use the model
-biomasses predicted for the final time step in the simulation."><meta property="og:description" content="
+biomasses predicted for the final time step in the simulation. For the
+MizerSim and plotly methods, ratio defaults to FALSE."><meta property="og:description" content="
 If biomass observations are available for at least some species via the
 biomass_observed column in the species parameter data frame, this function
 plots the biomass of each species in the model against the observed
 biomasses. When called with a MizerSim object, the plot will use the model
-biomasses predicted for the final time step in the simulation."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
+biomasses predicted for the final time step in the simulation. For the
+MizerSim and plotly methods, ratio defaults to FALSE."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
 
 
@@ -23,7 +25,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -44,13 +46,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -60,7 +70,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -89,7 +100,8 @@
 <code>biomass_observed</code> column in the species parameter data frame, this function
 plots the biomass of each species in the model against the observed
 biomasses. When called with a MizerSim object, the plot will use the model
-biomasses predicted for the final time step in the simulation.</p>
+biomasses predicted for the final time step in the simulation. For the
+MizerSim and plotly methods, <code>ratio</code> defaults to <code>FALSE</code>.</p>
     </div>
 
     <div class="section level2">
@@ -101,7 +113,8 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 <span>  log_scale <span class="op">=</span> <span class="cn">TRUE</span>,</span>
 <span>  return_data <span class="op">=</span> <span class="cn">FALSE</span>,</span>
 <span>  labels <span class="op">=</span> <span class="cn">TRUE</span>,</span>
-<span>  show_unobserved <span class="op">=</span> <span class="cn">FALSE</span></span>
+<span>  show_unobserved <span class="op">=</span> <span class="cn">FALSE</span>,</span>
+<span>  <span class="va">...</span></span>
 <span><span class="op">)</span></span>
 <span></span>
 <span><span class="fu">plotlyBiomassObservedVsModel</span><span class="op">(</span></span>
@@ -109,8 +122,8 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 <span>  species <span class="op">=</span> <span class="cn">NULL</span>,</span>
 <span>  ratio <span class="op">=</span> <span class="cn">FALSE</span>,</span>
 <span>  log_scale <span class="op">=</span> <span class="cn">TRUE</span>,</span>
-<span>  return_data <span class="op">=</span> <span class="cn">FALSE</span>,</span>
-<span>  show_unobserved <span class="op">=</span> <span class="cn">FALSE</span></span>
+<span>  show_unobserved <span class="op">=</span> <span class="cn">FALSE</span>,</span>
+<span>  <span class="va">...</span></span>
 <span><span class="op">)</span></span></code></pre></div>
     </div>
 
@@ -156,6 +169,10 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 biomass observation is available. If TRUE, these species will be
 shown as if their observed biomass was equal to the model biomass.</p></dd>
 
+
+<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
+<dd><p>Additional arguments passed to the plot function.</p></dd>
+
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
diff --git a/docs/reference/plotDataFrame.html b/docs/reference/plotDataFrame.html
index c902ab9eb..2d2deb02c 100644
--- a/docs/reference/plotDataFrame.html
+++ b/docs/reference/plotDataFrame.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Make a plot from a data frame — plotDataFrame"><meta name="description" content="This is used internally by most plotting functions."><meta property="og:description" content="This is used internally by most plotting functions."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Make a plot from a data frame — plotDataFrame"><meta name="description" content="This is used internally by most plotting functions."><meta property="og:description" content="This is used internally by most plotting functions."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
 
 
@@ -13,7 +13,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -34,13 +34,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -50,7 +58,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -115,8 +124,8 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 
 
 <dt id="arg-style">style<a class="anchor" aria-label="anchor" href="#arg-style"></a></dt>
-<dd><p>The style of the plot. Available options are "line' for geom_line
-and "area" for geom_area. Default is "line".</p></dd>
+<dd><p>The style of the plot. Available options are <code>"line"</code> for
+<code><a href="https://ggplot2.tidyverse.org/reference/geom_path.html" class="external-link">geom_line()</a></code> and <code>"area"</code> for <code><a href="https://ggplot2.tidyverse.org/reference/geom_ribbon.html" class="external-link">geom_area()</a></code>. Default is <code>"line"</code>.</p></dd>
 
 
 <dt id="arg-xlab">xlab<a class="anchor" aria-label="anchor" href="#arg-xlab"></a></dt>
diff --git a/docs/reference/plotDiet.MizerParams.html b/docs/reference/plotDiet.MizerParams.html
new file mode 100644
index 000000000..4237d38b5
--- /dev/null
+++ b/docs/reference/plotDiet.MizerParams.html
@@ -0,0 +1,8 @@
+<html>
+  <head>
+    <meta http-equiv="refresh" content="0;URL=https://sizespectrum.org/mizer/reference/plotDiet.html" />
+    <meta name="robots" content="noindex">
+    <link rel="canonical" href="https://sizespectrum.org/mizer/reference/plotDiet.html">
+  </head>
+</html>
+
diff --git a/docs/reference/plotDiet.MizerSim.html b/docs/reference/plotDiet.MizerSim.html
new file mode 100644
index 000000000..4237d38b5
--- /dev/null
+++ b/docs/reference/plotDiet.MizerSim.html
@@ -0,0 +1,8 @@
+<html>
+  <head>
+    <meta http-equiv="refresh" content="0;URL=https://sizespectrum.org/mizer/reference/plotDiet.html" />
+    <meta name="robots" content="noindex">
+    <link rel="canonical" href="https://sizespectrum.org/mizer/reference/plotDiet.html">
+  </head>
+</html>
+
diff --git a/docs/reference/plotDiet.html b/docs/reference/plotDiet.html
index 6fe5b7f7a..22d8d8b75 100644
--- a/docs/reference/plotDiet.html
+++ b/docs/reference/plotDiet.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Plot diet, resolved by prey species, as function of predator at size. — plotDiet"><meta name="description" content=" Plots the proportions with which each
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Plot diet, resolved by prey species, as function of predator at size. — plotDiet"><meta name="description" content=" Plots the proportions with which each
 prey species contributes to the total biomass consumed by the specified
 predator species, as a function of the predator's size. These proportions are
 obtained with getDiet()."><meta property="og:description" content=" Plots the proportions with which each
@@ -19,7 +19,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -40,13 +40,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -56,7 +64,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -88,7 +97,13 @@
 
     <div class="section level2">
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">plotDiet</span><span class="op">(</span><span class="va">object</span>, species <span class="op">=</span> <span class="cn">NULL</span>, return_data <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span></span></code></pre></div>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">plotDiet</span><span class="op">(</span><span class="va">object</span>, <span class="va">...</span><span class="op">)</span></span>
+<span></span>
+<span><span class="co"># S3 method for class 'MizerSim'</span></span>
+<span><span class="fu">plotDiet</span><span class="op">(</span><span class="va">object</span>, species <span class="op">=</span> <span class="cn">NULL</span>, <span class="va">time_range</span>, return_data <span class="op">=</span> <span class="cn">FALSE</span>, <span class="va">...</span><span class="op">)</span></span>
+<span></span>
+<span><span class="co"># S3 method for class 'MizerParams'</span></span>
+<span><span class="fu">plotDiet</span><span class="op">(</span><span class="va">object</span>, species <span class="op">=</span> <span class="cn">NULL</span>, return_data <span class="op">=</span> <span class="cn">FALSE</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
     </div>
 
     <div class="section level2">
@@ -100,6 +115,10 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 <a href="MizerParams-class.html">MizerParams</a>.</p></dd>
 
 
+<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
+<dd><p>Other arguments (currently unused)</p></dd>
+
+
 <dt id="arg-species">species<a class="anchor" aria-label="anchor" href="#arg-species"></a></dt>
 <dd><p>The species to be selected. Optional. By default all target
 species are selected. A vector of species names, or a
@@ -107,6 +126,13 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 each species whether it is to be selected (TRUE) or not.</p></dd>
 
 
+<dt id="arg-time-range">time_range<a class="anchor" aria-label="anchor" href="#arg-time-range"></a></dt>
+<dd><p>The time range (either a vector of values, a vector of min
+and max time, or a single value) to average the abundances over. Default is
+the final time step. Ignored when called with a <a href="MizerParams-class.html">MizerParams</a>
+object.</p></dd>
+
+
 <dt id="arg-return-data">return_data<a class="anchor" aria-label="anchor" href="#arg-return-data"></a></dt>
 <dd><p>A boolean value that determines whether the formatted data
 used for the plot is returned instead of the plot itself. Default value is FALSE</p></dd>
@@ -132,12 +158,13 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
     <div class="dont-index"><p><code><a href="getDiet.html">getDiet()</a></code></p>
 <p>Other plotting functions:
 <code><a href="animateSpectra.html">animateSpectra()</a></code>,
-<code><a href="plot-MizerParams-missing-method.html">plot,MizerParams,missing-method</a></code>,
-<code><a href="plotMizerSim.html">plot,MizerSim,missing-method</a></code>,
+<code><a href="plot.html">plot</a></code>,
 <code><a href="plotBiomass.html">plotBiomass()</a></code>,
 <code><a href="plotFMort.html">plotFMort()</a></code>,
 <code><a href="plotFeedingLevel.html">plotFeedingLevel()</a></code>,
 <code><a href="plotGrowthCurves.html">plotGrowthCurves()</a></code>,
+<code><a href="plotMizerParams.html">plotMizerParams</a></code>,
+<code><a href="plotMizerSim.html">plotMizerSim</a></code>,
 <code><a href="plotPredMort.html">plotPredMort()</a></code>,
 <code><a href="plotSpectra.html">plotSpectra()</a></code>,
 <code><a href="plotYield.html">plotYield()</a></code>,
diff --git a/docs/reference/plotFMort-1.png b/docs/reference/plotFMort-1.png
index bb4c98787..a1536266f 100644
Binary files a/docs/reference/plotFMort-1.png and b/docs/reference/plotFMort-1.png differ
diff --git a/docs/reference/plotFMort-2.png b/docs/reference/plotFMort-2.png
index 1ee36046f..61212cad6 100644
Binary files a/docs/reference/plotFMort-2.png and b/docs/reference/plotFMort-2.png differ
diff --git a/docs/reference/plotFMort.MizerParams.html b/docs/reference/plotFMort.MizerParams.html
new file mode 100644
index 000000000..36d4ae398
--- /dev/null
+++ b/docs/reference/plotFMort.MizerParams.html
@@ -0,0 +1,8 @@
+<html>
+  <head>
+    <meta http-equiv="refresh" content="0;URL=https://sizespectrum.org/mizer/reference/plotFMort.html" />
+    <meta name="robots" content="noindex">
+    <link rel="canonical" href="https://sizespectrum.org/mizer/reference/plotFMort.html">
+  </head>
+</html>
+
diff --git a/docs/reference/plotFMort.MizerSim.html b/docs/reference/plotFMort.MizerSim.html
new file mode 100644
index 000000000..36d4ae398
--- /dev/null
+++ b/docs/reference/plotFMort.MizerSim.html
@@ -0,0 +1,8 @@
+<html>
+  <head>
+    <meta http-equiv="refresh" content="0;URL=https://sizespectrum.org/mizer/reference/plotFMort.html" />
+    <meta name="robots" content="noindex">
+    <link rel="canonical" href="https://sizespectrum.org/mizer/reference/plotFMort.html">
+  </head>
+</html>
+
diff --git a/docs/reference/plotFMort.html b/docs/reference/plotFMort.html
index 57d720dd2..7cb3c5abb 100644
--- a/docs/reference/plotFMort.html
+++ b/docs/reference/plotFMort.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Plot total fishing mortality of each species by size — plotFMort"><meta name="description" content="After running a projection, plot the total fishing mortality of each species
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Plot total fishing mortality of each species by size — plotFMort"><meta name="description" content="After running a projection, plot the total fishing mortality of each species
 by size. The total fishing mortality is averaged over the specified time
 range (a single value for the time range can be used to plot a single time
 step)."><meta property="og:description" content="After running a projection, plot the total fishing mortality of each species
@@ -19,7 +19,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -40,13 +40,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -56,7 +64,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -88,7 +97,10 @@
 
     <div class="section level2">
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">plotFMort</span><span class="op">(</span></span>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">plotFMort</span><span class="op">(</span><span class="va">object</span>, <span class="va">...</span><span class="op">)</span></span>
+<span></span>
+<span><span class="co"># S3 method for class 'MizerSim'</span></span>
+<span><span class="fu">plotFMort</span><span class="op">(</span></span>
 <span>  <span class="va">object</span>,</span>
 <span>  species <span class="op">=</span> <span class="cn">NULL</span>,</span>
 <span>  <span class="va">time_range</span>,</span>
@@ -98,6 +110,16 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 <span>  <span class="va">...</span></span>
 <span><span class="op">)</span></span>
 <span></span>
+<span><span class="co"># S3 method for class 'MizerParams'</span></span>
+<span><span class="fu">plotFMort</span><span class="op">(</span></span>
+<span>  <span class="va">object</span>,</span>
+<span>  species <span class="op">=</span> <span class="cn">NULL</span>,</span>
+<span>  all.sizes <span class="op">=</span> <span class="cn">FALSE</span>,</span>
+<span>  highlight <span class="op">=</span> <span class="cn">NULL</span>,</span>
+<span>  return_data <span class="op">=</span> <span class="cn">FALSE</span>,</span>
+<span>  <span class="va">...</span></span>
+<span><span class="op">)</span></span>
+<span></span>
 <span><span class="fu">plotlyFMort</span><span class="op">(</span><span class="va">object</span>, species <span class="op">=</span> <span class="cn">NULL</span>, <span class="va">time_range</span>, highlight <span class="op">=</span> <span class="cn">NULL</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
     </div>
 
@@ -110,6 +132,10 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 <a href="MizerParams-class.html">MizerParams</a>.</p></dd>
 
 
+<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
+<dd><p>Other arguments (currently unused)</p></dd>
+
+
 <dt id="arg-species">species<a class="anchor" aria-label="anchor" href="#arg-species"></a></dt>
 <dd><p>The species to be selected. Optional. By default all target
 species are selected. A vector of species names, or a
@@ -137,10 +163,6 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 <dd><p>A boolean value that determines whether the formatted data
 used for the plot is returned instead of the plot itself. Default value is FALSE</p></dd>
 
-
-<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
-<dd><p>Other arguments (currently unused)</p></dd>
-
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
@@ -152,12 +174,13 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
     <div class="dont-index"><p><a href="plotting_functions.html">plotting_functions</a>, <code><a href="getFMort.html">getFMort()</a></code></p>
 <p>Other plotting functions:
 <code><a href="animateSpectra.html">animateSpectra()</a></code>,
-<code><a href="plot-MizerParams-missing-method.html">plot,MizerParams,missing-method</a></code>,
-<code><a href="plotMizerSim.html">plot,MizerSim,missing-method</a></code>,
+<code><a href="plot.html">plot</a></code>,
 <code><a href="plotBiomass.html">plotBiomass()</a></code>,
 <code><a href="plotDiet.html">plotDiet()</a></code>,
 <code><a href="plotFeedingLevel.html">plotFeedingLevel()</a></code>,
 <code><a href="plotGrowthCurves.html">plotGrowthCurves()</a></code>,
+<code><a href="plotMizerParams.html">plotMizerParams</a></code>,
+<code><a href="plotMizerSim.html">plotMizerSim</a></code>,
 <code><a href="plotPredMort.html">plotPredMort()</a></code>,
 <code><a href="plotSpectra.html">plotSpectra()</a></code>,
 <code><a href="plotYield.html">plotYield()</a></code>,
@@ -178,10 +201,11 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-in"><span><span class="co"># Returning the data frame</span></span></span>
 <span class="r-in"><span><span class="va">fr</span> <span class="op">&lt;-</span> <span class="fu">plotFMort</span><span class="op">(</span><span class="va">sim</span>, return_data <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/utils/str.html" class="external-link">str</a></span><span class="op">(</span><span class="va">fr</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 'data.frame':	934 obs. of  3 variables:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 'data.frame':	934 obs. of  4 variables:</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>  $ w      : num  0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 ...</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>  $ value  : num  0 0 0 0 0 0 0 0 0 0 ...</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>  $ Species: chr  "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  $ Legend : chr  "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
 <span class="r-in"><span><span class="co"># }</span></span></span>
 </code></pre></div>
     </div>
diff --git a/docs/reference/plotFeedingLevel.MizerParams.html b/docs/reference/plotFeedingLevel.MizerParams.html
new file mode 100644
index 000000000..8da0321ca
--- /dev/null
+++ b/docs/reference/plotFeedingLevel.MizerParams.html
@@ -0,0 +1,8 @@
+<html>
+  <head>
+    <meta http-equiv="refresh" content="0;URL=https://sizespectrum.org/mizer/reference/plotFeedingLevel.html" />
+    <meta name="robots" content="noindex">
+    <link rel="canonical" href="https://sizespectrum.org/mizer/reference/plotFeedingLevel.html">
+  </head>
+</html>
+
diff --git a/docs/reference/plotFeedingLevel.MizerSim.html b/docs/reference/plotFeedingLevel.MizerSim.html
new file mode 100644
index 000000000..8da0321ca
--- /dev/null
+++ b/docs/reference/plotFeedingLevel.MizerSim.html
@@ -0,0 +1,8 @@
+<html>
+  <head>
+    <meta http-equiv="refresh" content="0;URL=https://sizespectrum.org/mizer/reference/plotFeedingLevel.html" />
+    <meta name="robots" content="noindex">
+    <link rel="canonical" href="https://sizespectrum.org/mizer/reference/plotFeedingLevel.html">
+  </head>
+</html>
+
diff --git a/docs/reference/plotFeedingLevel.html b/docs/reference/plotFeedingLevel.html
index 9bd0e899a..3b880f4b2 100644
--- a/docs/reference/plotFeedingLevel.html
+++ b/docs/reference/plotFeedingLevel.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Plot the feeding level of species by size — plotFeedingLevel"><meta name="description" content="After running a projection, plot the feeding level of each species by size.
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Plot the feeding level of species by size — plotFeedingLevel"><meta name="description" content="After running a projection, plot the feeding level of each species by size.
 The feeding level is averaged over the specified time range (a single value
 for the time range can be used)."><meta property="og:description" content="After running a projection, plot the feeding level of each species by size.
 The feeding level is averaged over the specified time range (a single value
@@ -17,7 +17,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -38,13 +38,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -54,7 +62,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -85,7 +94,10 @@
 
     <div class="section level2">
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">plotFeedingLevel</span><span class="op">(</span></span>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">plotFeedingLevel</span><span class="op">(</span><span class="va">object</span>, <span class="va">...</span><span class="op">)</span></span>
+<span></span>
+<span><span class="co"># S3 method for class 'MizerSim'</span></span>
+<span><span class="fu">plotFeedingLevel</span><span class="op">(</span></span>
 <span>  <span class="va">object</span>,</span>
 <span>  species <span class="op">=</span> <span class="cn">NULL</span>,</span>
 <span>  <span class="va">time_range</span>,</span>
@@ -96,6 +108,17 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 <span>  <span class="va">...</span></span>
 <span><span class="op">)</span></span>
 <span></span>
+<span><span class="co"># S3 method for class 'MizerParams'</span></span>
+<span><span class="fu">plotFeedingLevel</span><span class="op">(</span></span>
+<span>  <span class="va">object</span>,</span>
+<span>  species <span class="op">=</span> <span class="cn">NULL</span>,</span>
+<span>  highlight <span class="op">=</span> <span class="cn">NULL</span>,</span>
+<span>  all.sizes <span class="op">=</span> <span class="cn">FALSE</span>,</span>
+<span>  include_critical <span class="op">=</span> <span class="cn">FALSE</span>,</span>
+<span>  return_data <span class="op">=</span> <span class="cn">FALSE</span>,</span>
+<span>  <span class="va">...</span></span>
+<span><span class="op">)</span></span>
+<span></span>
 <span><span class="fu">plotlyFeedingLevel</span><span class="op">(</span></span>
 <span>  <span class="va">object</span>,</span>
 <span>  species <span class="op">=</span> <span class="cn">NULL</span>,</span>
@@ -115,6 +138,10 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 <a href="MizerParams-class.html">MizerParams</a>.</p></dd>
 
 
+<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
+<dd><p>Other arguments (currently unused)</p></dd>
+
+
 <dt id="arg-species">species<a class="anchor" aria-label="anchor" href="#arg-species"></a></dt>
 <dd><p>The species to be selected. Optional. By default all target
 species are selected. A vector of species names, or a
@@ -147,10 +174,6 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 <dd><p>A boolean value that determines whether the formatted data
 used for the plot is returned instead of the plot itself. Default value is FALSE</p></dd>
 
-
-<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
-<dd><p>Other arguments (currently unused)</p></dd>
-
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
@@ -176,12 +199,13 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
     <div class="dont-index"><p><a href="plotting_functions.html">plotting_functions</a>, <code><a href="getFeedingLevel.html">getFeedingLevel()</a></code></p>
 <p>Other plotting functions:
 <code><a href="animateSpectra.html">animateSpectra()</a></code>,
-<code><a href="plot-MizerParams-missing-method.html">plot,MizerParams,missing-method</a></code>,
-<code><a href="plotMizerSim.html">plot,MizerSim,missing-method</a></code>,
+<code><a href="plot.html">plot</a></code>,
 <code><a href="plotBiomass.html">plotBiomass()</a></code>,
 <code><a href="plotDiet.html">plotDiet()</a></code>,
 <code><a href="plotFMort.html">plotFMort()</a></code>,
 <code><a href="plotGrowthCurves.html">plotGrowthCurves()</a></code>,
+<code><a href="plotMizerParams.html">plotMizerParams</a></code>,
+<code><a href="plotMizerSim.html">plotMizerSim</a></code>,
 <code><a href="plotPredMort.html">plotPredMort()</a></code>,
 <code><a href="plotSpectra.html">plotSpectra()</a></code>,
 <code><a href="plotYield.html">plotYield()</a></code>,
diff --git a/docs/reference/plotGrowthCurves.MizerParams.html b/docs/reference/plotGrowthCurves.MizerParams.html
new file mode 100644
index 000000000..4971fdc9d
--- /dev/null
+++ b/docs/reference/plotGrowthCurves.MizerParams.html
@@ -0,0 +1,8 @@
+<html>
+  <head>
+    <meta http-equiv="refresh" content="0;URL=https://sizespectrum.org/mizer/reference/plotGrowthCurves.html" />
+    <meta name="robots" content="noindex">
+    <link rel="canonical" href="https://sizespectrum.org/mizer/reference/plotGrowthCurves.html">
+  </head>
+</html>
+
diff --git a/docs/reference/plotGrowthCurves.MizerSim.html b/docs/reference/plotGrowthCurves.MizerSim.html
new file mode 100644
index 000000000..4971fdc9d
--- /dev/null
+++ b/docs/reference/plotGrowthCurves.MizerSim.html
@@ -0,0 +1,8 @@
+<html>
+  <head>
+    <meta http-equiv="refresh" content="0;URL=https://sizespectrum.org/mizer/reference/plotGrowthCurves.html" />
+    <meta name="robots" content="noindex">
+    <link rel="canonical" href="https://sizespectrum.org/mizer/reference/plotGrowthCurves.html">
+  </head>
+</html>
+
diff --git a/docs/reference/plotGrowthCurves.html b/docs/reference/plotGrowthCurves.html
index c4bc528af..88668aca1 100644
--- a/docs/reference/plotGrowthCurves.html
+++ b/docs/reference/plotGrowthCurves.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Plot growth curves — plotGrowthCurves"><meta name="description" content="The growth curves represent the average age of all the living fish of a
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Plot growth curves — plotGrowthCurves"><meta name="description" content="The growth curves represent the average age of all the living fish of a
 species as a function of their size. So it would be natural to plot size
 on the x-axis. But to follow the usual convention from age-based models, we
 plot size on the y-axis and age on the x-axis."><meta property="og:description" content="The growth curves represent the average age of all the living fish of a
@@ -19,7 +19,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -40,13 +40,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -56,7 +64,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -88,7 +97,23 @@
 
     <div class="section level2">
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">plotGrowthCurves</span><span class="op">(</span></span>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">plotGrowthCurves</span><span class="op">(</span><span class="va">object</span>, <span class="va">...</span><span class="op">)</span></span>
+<span></span>
+<span><span class="co"># S3 method for class 'MizerSim'</span></span>
+<span><span class="fu">plotGrowthCurves</span><span class="op">(</span></span>
+<span>  <span class="va">object</span>,</span>
+<span>  species <span class="op">=</span> <span class="cn">NULL</span>,</span>
+<span>  max_age <span class="op">=</span> <span class="fl">20</span>,</span>
+<span>  percentage <span class="op">=</span> <span class="cn">FALSE</span>,</span>
+<span>  species_panel <span class="op">=</span> <span class="cn">FALSE</span>,</span>
+<span>  highlight <span class="op">=</span> <span class="cn">NULL</span>,</span>
+<span>  size_at_age <span class="op">=</span> <span class="cn">NULL</span>,</span>
+<span>  return_data <span class="op">=</span> <span class="cn">FALSE</span>,</span>
+<span>  <span class="va">...</span></span>
+<span><span class="op">)</span></span>
+<span></span>
+<span><span class="co"># S3 method for class 'MizerParams'</span></span>
+<span><span class="fu">plotGrowthCurves</span><span class="op">(</span></span>
 <span>  <span class="va">object</span>,</span>
 <span>  species <span class="op">=</span> <span class="cn">NULL</span>,</span>
 <span>  max_age <span class="op">=</span> <span class="fl">20</span>,</span>
@@ -121,6 +146,10 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 <a href="MizerParams-class.html">MizerParams</a> object, uses the initial growth rates instead.</p></dd>
 
 
+<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
+<dd><p>Other arguments (currently unused)</p></dd>
+
+
 <dt id="arg-species">species<a class="anchor" aria-label="anchor" href="#arg-species"></a></dt>
 <dd><p>The species to be selected. Optional. By default all target
 species are selected. A vector of species names, or a
@@ -158,10 +187,6 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 <dd><p>A boolean value that determines whether the formatted data
 used for the plot is returned instead of the plot itself. Default value is FALSE</p></dd>
 
-
-<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
-<dd><p>Other arguments (currently unused)</p></dd>
-
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
@@ -190,12 +215,13 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
     <div class="dont-index"><p><a href="plotting_functions.html">plotting_functions</a></p>
 <p>Other plotting functions:
 <code><a href="animateSpectra.html">animateSpectra()</a></code>,
-<code><a href="plot-MizerParams-missing-method.html">plot,MizerParams,missing-method</a></code>,
-<code><a href="plotMizerSim.html">plot,MizerSim,missing-method</a></code>,
+<code><a href="plot.html">plot</a></code>,
 <code><a href="plotBiomass.html">plotBiomass()</a></code>,
 <code><a href="plotDiet.html">plotDiet()</a></code>,
 <code><a href="plotFMort.html">plotFMort()</a></code>,
 <code><a href="plotFeedingLevel.html">plotFeedingLevel()</a></code>,
+<code><a href="plotMizerParams.html">plotMizerParams</a></code>,
+<code><a href="plotMizerSim.html">plotMizerSim</a></code>,
 <code><a href="plotPredMort.html">plotPredMort()</a></code>,
 <code><a href="plotSpectra.html">plotSpectra()</a></code>,
 <code><a href="plotYield.html">plotYield()</a></code>,
diff --git a/docs/reference/plotM2-1.png b/docs/reference/plotM2-1.png
index e186b3866..3ade5087f 100644
Binary files a/docs/reference/plotM2-1.png and b/docs/reference/plotM2-1.png differ
diff --git a/docs/reference/plotM2-2.png b/docs/reference/plotM2-2.png
index d01d52726..38691b69d 100644
Binary files a/docs/reference/plotM2-2.png and b/docs/reference/plotM2-2.png differ
diff --git a/docs/reference/plotM2.html b/docs/reference/plotM2.html
index c9c1fc3e8..3bfccd6d3 100644
--- a/docs/reference/plotM2.html
+++ b/docs/reference/plotM2.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Alias for plotPredMort() — plotM2"><meta name="description" content="
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Alias for plotPredMort() — plotM2"><meta name="description" content="
 An alias provided for backward compatibility with mizer version &amp;lt;= 1.0"><meta property="og:description" content="
 An alias provided for backward compatibility with mizer version &amp;lt;= 1.0"><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
@@ -15,7 +15,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -36,13 +36,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -52,7 +60,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -82,15 +91,7 @@
 
     <div class="section level2">
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">plotM2</span><span class="op">(</span></span>
-<span>  <span class="va">object</span>,</span>
-<span>  species <span class="op">=</span> <span class="cn">NULL</span>,</span>
-<span>  <span class="va">time_range</span>,</span>
-<span>  all.sizes <span class="op">=</span> <span class="cn">FALSE</span>,</span>
-<span>  highlight <span class="op">=</span> <span class="cn">NULL</span>,</span>
-<span>  return_data <span class="op">=</span> <span class="cn">FALSE</span>,</span>
-<span>  <span class="va">...</span></span>
-<span><span class="op">)</span></span></code></pre></div>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">plotM2</span><span class="op">(</span><span class="va">object</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
     </div>
 
     <div class="section level2">
@@ -102,34 +103,6 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 <a href="MizerParams-class.html">MizerParams</a>.</p></dd>
 
 
-<dt id="arg-species">species<a class="anchor" aria-label="anchor" href="#arg-species"></a></dt>
-<dd><p>The species to be selected. Optional. By default all target
-species are selected. A vector of species names, or a
-numeric vector with the species indices, or a logical vector indicating for
-each species whether it is to be selected (TRUE) or not.</p></dd>
-
-
-<dt id="arg-time-range">time_range<a class="anchor" aria-label="anchor" href="#arg-time-range"></a></dt>
-<dd><p>The time range (either a vector of values, a vector of min
-and max time, or a single value) to average the abundances over. Default is
-the final time step. Ignored when called with a <a href="MizerParams-class.html">MizerParams</a>
-object.</p></dd>
-
-
-<dt id="arg-all-sizes">all.sizes<a class="anchor" aria-label="anchor" href="#arg-all-sizes"></a></dt>
-<dd><p>If TRUE, then predation mortality is plotted also for sizes
-outside a species' size range. Default FALSE.</p></dd>
-
-
-<dt id="arg-highlight">highlight<a class="anchor" aria-label="anchor" href="#arg-highlight"></a></dt>
-<dd><p>Name or vector of names of the species to be highlighted.</p></dd>
-
-
-<dt id="arg-return-data">return_data<a class="anchor" aria-label="anchor" href="#arg-return-data"></a></dt>
-<dd><p>A boolean value that determines whether the formatted data
-used for the plot is returned instead of the plot itself. Default value is FALSE</p></dd>
-
-
 <dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
 <dd><p>Other arguments (currently unused)</p></dd>
 
@@ -144,13 +117,14 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
     <div class="dont-index"><p><a href="plotting_functions.html">plotting_functions</a>,  <code><a href="getPredMort.html">getPredMort()</a></code></p>
 <p>Other plotting functions:
 <code><a href="animateSpectra.html">animateSpectra()</a></code>,
-<code><a href="plot-MizerParams-missing-method.html">plot,MizerParams,missing-method</a></code>,
-<code><a href="plotMizerSim.html">plot,MizerSim,missing-method</a></code>,
+<code><a href="plot.html">plot</a></code>,
 <code><a href="plotBiomass.html">plotBiomass()</a></code>,
 <code><a href="plotDiet.html">plotDiet()</a></code>,
 <code><a href="plotFMort.html">plotFMort()</a></code>,
 <code><a href="plotFeedingLevel.html">plotFeedingLevel()</a></code>,
 <code><a href="plotGrowthCurves.html">plotGrowthCurves()</a></code>,
+<code><a href="plotMizerParams.html">plotMizerParams</a></code>,
+<code><a href="plotMizerSim.html">plotMizerSim</a></code>,
 <code><a href="plotSpectra.html">plotSpectra()</a></code>,
 <code><a href="plotYield.html">plotYield()</a></code>,
 <code><a href="plotYieldGear.html">plotYieldGear()</a></code>,
@@ -170,10 +144,11 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-in"><span><span class="co"># Returning the data frame</span></span></span>
 <span class="r-in"><span><span class="va">fr</span> <span class="op">&lt;-</span> <span class="fu"><a href="plotPredMort.html">plotPredMort</a></span><span class="op">(</span><span class="va">sim</span>, return_data <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/utils/str.html" class="external-link">str</a></span><span class="op">(</span><span class="va">fr</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 'data.frame':	934 obs. of  3 variables:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 'data.frame':	934 obs. of  4 variables:</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>  $ w      : num  0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 ...</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>  $ value  : num  2.67 1.11 3.87 4.24 3.4 ...</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>  $ Species: chr  "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  $ Legend : chr  "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
 <span class="r-in"><span><span class="co"># }</span></span></span>
 </code></pre></div>
     </div>
diff --git a/docs/reference/plotMizerParams-1.png b/docs/reference/plotMizerParams-1.png
new file mode 100644
index 000000000..2ec174d53
Binary files /dev/null and b/docs/reference/plotMizerParams-1.png differ
diff --git a/docs/reference/plot-MizerParams-missing-method.html b/docs/reference/plotMizerParams.html
similarity index 79%
rename from docs/reference/plot-MizerParams-missing-method.html
rename to docs/reference/plotMizerParams.html
index 3f31b22a5..ad4356882 100644
--- a/docs/reference/plot-MizerParams-missing-method.html
+++ b/docs/reference/plotMizerParams.html
@@ -1,11 +1,11 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en-GB"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Summary plot for MizerParams objects — plot,MizerParams,missing-method • mizer</title><!-- favicons --><link rel="icon" type="image/png" sizes="96x96" href="../favicon-96x96.png"><link rel="icon" type="”image/svg+xml”" href="../favicon.svg"><link rel="apple-touch-icon" sizes="180x180" href="../apple-touch-icon.png"><link rel="icon" sizes="any" href="../favicon.ico"><link rel="manifest" href="../site.webmanifest"><!-- mathjax math --><script src="https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/tex-mml-chtml.js" integrity="sha256-MASABpB4tYktI2Oitl4t+78w/lyA+D7b/s9GEP0JOGI=" crossorigin="anonymous"></script><script>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en-GB"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Summary plot for MizerParams objects — plotMizerParams • mizer</title><!-- favicons --><link rel="icon" type="image/png" sizes="96x96" href="../favicon-96x96.png"><link rel="icon" type="”image/svg+xml”" href="../favicon.svg"><link rel="apple-touch-icon" sizes="180x180" href="../apple-touch-icon.png"><link rel="icon" sizes="any" href="../favicon.ico"><link rel="manifest" href="../site.webmanifest"><!-- mathjax math --><script src="https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/tex-mml-chtml.js" integrity="sha256-MASABpB4tYktI2Oitl4t+78w/lyA+D7b/s9GEP0JOGI=" crossorigin="anonymous"></script><script>
   window.MathJax = {
     chtml: {
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Summary plot for MizerParams objects — plot,MizerParams,missing-method"><meta name="description" content="Produces 3 plots in the same window: abundance spectra, feeding
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Summary plot for MizerParams objects — plotMizerParams"><meta name="description" content="Produces 3 plots in the same window: abundance spectra, feeding
 level and predation mortality of each species through time. This method just
 uses the other plotting functions and puts them all in one window."><meta property="og:description" content="Produces 3 plots in the same window: abundance spectra, feeding
 level and predation mortality of each species through time. This method just
@@ -17,7 +17,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -38,13 +38,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -54,7 +62,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -74,7 +83,7 @@
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Summary plot for <code>MizerParams</code> objects</h1>
       <small class="dont-index">Source: <a href="https://github.com/sizespectrum/mizer/blob/HEAD/R/plots.R" class="external-link"><code>R/plots.R</code></a></small>
-      <div class="d-none name"><code>plot-MizerParams-missing-method.Rd</code></div>
+      <div class="d-none name"><code>plotMizerParams.Rd</code></div>
     </div>
 
     <div class="ref-description section level2">
@@ -85,8 +94,8 @@
 
     <div class="section level2">
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="co"># S4 method for class 'MizerParams,missing'</span></span>
-<span><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">x</span>, <span class="va">y</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="co"># S3 method for class 'MizerParams'</span></span>
+<span><span class="fu"><a href="plot.html">plot</a></span><span class="op">(</span><span class="va">x</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
     </div>
 
     <div class="section level2">
@@ -97,10 +106,6 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 <dd><p>An object of class <a href="MizerParams-class.html">MizerParams</a></p></dd>
 
 
-<dt id="arg-y">y<a class="anchor" aria-label="anchor" href="#arg-y"></a></dt>
-<dd><p>Not used</p></dd>
-
-
 <dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
 <dd><p>For additional arguments see the documentation for
 <code><a href="plotFeedingLevel.html">plotFeedingLevel()</a></code>,<code><a href="plotSpectra.html">plotSpectra()</a></code>,<code><a href="plotPredMort.html">plotPredMort()</a></code></p></dd>
@@ -115,12 +120,13 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
     <div class="dont-index"><p><a href="plotting_functions.html">plotting_functions</a></p>
 <p>Other plotting functions:
 <code><a href="animateSpectra.html">animateSpectra()</a></code>,
-<code><a href="plotMizerSim.html">plot,MizerSim,missing-method</a></code>,
+<code><a href="plot.html">plot</a></code>,
 <code><a href="plotBiomass.html">plotBiomass()</a></code>,
 <code><a href="plotDiet.html">plotDiet()</a></code>,
 <code><a href="plotFMort.html">plotFMort()</a></code>,
 <code><a href="plotFeedingLevel.html">plotFeedingLevel()</a></code>,
 <code><a href="plotGrowthCurves.html">plotGrowthCurves()</a></code>,
+<code><a href="plotMizerSim.html">plotMizerSim</a></code>,
 <code><a href="plotPredMort.html">plotPredMort()</a></code>,
 <code><a href="plotSpectra.html">plotSpectra()</a></code>,
 <code><a href="plotYield.html">plotYield()</a></code>,
@@ -132,8 +138,8 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
     <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="co"># \donttest{</span></span></span>
 <span class="r-in"><span><span class="va">params</span> <span class="op">&lt;-</span>  <span class="va">NS_params</span></span></span>
-<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span></span></span>
-<span class="r-plt img"><img src="plot-MizerParams-missing-method-1.png" alt="" width="700" height="433"></span>
+<span class="r-in"><span><span class="fu"><a href="plot.html">plot</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span></span></span>
+<span class="r-plt img"><img src="plotMizerParams-1.png" alt="" width="700" height="433"></span>
 <span class="r-in"><span><span class="co"># }</span></span></span>
 </code></pre></div>
     </div>
diff --git a/docs/reference/plotMizerSim-1.png b/docs/reference/plotMizerSim-1.png
index 5ac255594..dda57c845 100644
Binary files a/docs/reference/plotMizerSim-1.png and b/docs/reference/plotMizerSim-1.png differ
diff --git a/docs/reference/plotMizerSim.html b/docs/reference/plotMizerSim.html
index 01b91ee03..647dc9f49 100644
--- a/docs/reference/plotMizerSim.html
+++ b/docs/reference/plotMizerSim.html
@@ -1,11 +1,11 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en-GB"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Summary plot for MizerSim objects — plot,MizerSim,missing-method • mizer</title><!-- favicons --><link rel="icon" type="image/png" sizes="96x96" href="../favicon-96x96.png"><link rel="icon" type="”image/svg+xml”" href="../favicon.svg"><link rel="apple-touch-icon" sizes="180x180" href="../apple-touch-icon.png"><link rel="icon" sizes="any" href="../favicon.ico"><link rel="manifest" href="../site.webmanifest"><!-- mathjax math --><script src="https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/tex-mml-chtml.js" integrity="sha256-MASABpB4tYktI2Oitl4t+78w/lyA+D7b/s9GEP0JOGI=" crossorigin="anonymous"></script><script>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en-GB"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Summary plot for MizerSim objects — plotMizerSim • mizer</title><!-- favicons --><link rel="icon" type="image/png" sizes="96x96" href="../favicon-96x96.png"><link rel="icon" type="”image/svg+xml”" href="../favicon.svg"><link rel="apple-touch-icon" sizes="180x180" href="../apple-touch-icon.png"><link rel="icon" sizes="any" href="../favicon.ico"><link rel="manifest" href="../site.webmanifest"><!-- mathjax math --><script src="https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/tex-mml-chtml.js" integrity="sha256-MASABpB4tYktI2Oitl4t+78w/lyA+D7b/s9GEP0JOGI=" crossorigin="anonymous"></script><script>
   window.MathJax = {
     chtml: {
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Summary plot for MizerSim objects — plot,MizerSim,missing-method"><meta name="description" content="After running a projection, produces 5 plots in the same window: feeding
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Summary plot for MizerSim objects — plotMizerSim"><meta name="description" content="After running a projection, produces 5 plots in the same window: feeding
 level, abundance spectra, predation mortality and fishing mortality of each
 species by size; and biomass of each species through time. This method just
 uses the other plotting functions and puts them all in one window."><meta property="og:description" content="After running a projection, produces 5 plots in the same window: feeding
@@ -19,7 +19,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -40,13 +40,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -56,7 +64,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -88,8 +97,8 @@
 
     <div class="section level2">
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="co"># S4 method for class 'MizerSim,missing'</span></span>
-<span><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">x</span>, <span class="va">y</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="co"># S3 method for class 'MizerSim'</span></span>
+<span><span class="fu"><a href="plot.html">plot</a></span><span class="op">(</span><span class="va">x</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
     </div>
 
     <div class="section level2">
@@ -100,10 +109,6 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 <dd><p>An object of class <a href="MizerSim-class.html">MizerSim</a></p></dd>
 
 
-<dt id="arg-y">y<a class="anchor" aria-label="anchor" href="#arg-y"></a></dt>
-<dd><p>Not used</p></dd>
-
-
 <dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
 <dd><p>For additional arguments see the documentation for
 <code><a href="plotBiomass.html">plotBiomass()</a></code>,
@@ -120,12 +125,13 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
     <div class="dont-index"><p><a href="plotting_functions.html">plotting_functions</a></p>
 <p>Other plotting functions:
 <code><a href="animateSpectra.html">animateSpectra()</a></code>,
-<code><a href="plot-MizerParams-missing-method.html">plot,MizerParams,missing-method</a></code>,
+<code><a href="plot.html">plot</a></code>,
 <code><a href="plotBiomass.html">plotBiomass()</a></code>,
 <code><a href="plotDiet.html">plotDiet()</a></code>,
 <code><a href="plotFMort.html">plotFMort()</a></code>,
 <code><a href="plotFeedingLevel.html">plotFeedingLevel()</a></code>,
 <code><a href="plotGrowthCurves.html">plotGrowthCurves()</a></code>,
+<code><a href="plotMizerParams.html">plotMizerParams</a></code>,
 <code><a href="plotPredMort.html">plotPredMort()</a></code>,
 <code><a href="plotSpectra.html">plotSpectra()</a></code>,
 <code><a href="plotYield.html">plotYield()</a></code>,
@@ -138,7 +144,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
     <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="co"># \donttest{</span></span></span>
 <span class="r-in"><span><span class="va">params</span> <span class="op">&lt;-</span>  <span class="va">NS_params</span></span></span>
 <span class="r-in"><span><span class="va">sim</span> <span class="op">&lt;-</span> <span class="fu"><a href="project.html">project</a></span><span class="op">(</span><span class="va">params</span>, effort<span class="op">=</span><span class="fl">1</span>, t_max<span class="op">=</span><span class="fl">20</span>, t_save <span class="op">=</span> <span class="fl">2</span>, progress_bar <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span></span></span>
-<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">sim</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="fu"><a href="plot.html">plot</a></span><span class="op">(</span><span class="va">sim</span><span class="op">)</span></span></span>
 <span class="r-plt img"><img src="plotMizerSim-1.png" alt="" width="700" height="433"></span>
 <span class="r-in"><span><span class="co"># }</span></span></span>
 </code></pre></div>
diff --git a/docs/reference/plotPredMort-1.png b/docs/reference/plotPredMort-1.png
index e186b3866..3ade5087f 100644
Binary files a/docs/reference/plotPredMort-1.png and b/docs/reference/plotPredMort-1.png differ
diff --git a/docs/reference/plotPredMort-2.png b/docs/reference/plotPredMort-2.png
index d01d52726..38691b69d 100644
Binary files a/docs/reference/plotPredMort-2.png and b/docs/reference/plotPredMort-2.png differ
diff --git a/docs/reference/plotPredMort.MizerParams.html b/docs/reference/plotPredMort.MizerParams.html
new file mode 100644
index 000000000..6fc549e10
--- /dev/null
+++ b/docs/reference/plotPredMort.MizerParams.html
@@ -0,0 +1,8 @@
+<html>
+  <head>
+    <meta http-equiv="refresh" content="0;URL=https://sizespectrum.org/mizer/reference/plotPredMort.html" />
+    <meta name="robots" content="noindex">
+    <link rel="canonical" href="https://sizespectrum.org/mizer/reference/plotPredMort.html">
+  </head>
+</html>
+
diff --git a/docs/reference/plotPredMort.MizerSim.html b/docs/reference/plotPredMort.MizerSim.html
new file mode 100644
index 000000000..6fc549e10
--- /dev/null
+++ b/docs/reference/plotPredMort.MizerSim.html
@@ -0,0 +1,8 @@
+<html>
+  <head>
+    <meta http-equiv="refresh" content="0;URL=https://sizespectrum.org/mizer/reference/plotPredMort.html" />
+    <meta name="robots" content="noindex">
+    <link rel="canonical" href="https://sizespectrum.org/mizer/reference/plotPredMort.html">
+  </head>
+</html>
+
diff --git a/docs/reference/plotPredMort.html b/docs/reference/plotPredMort.html
index ae52b0416..8140cb863 100644
--- a/docs/reference/plotPredMort.html
+++ b/docs/reference/plotPredMort.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Plot predation mortality rate of each species against size — plotPredMort"><meta name="description" content="After running a projection, plot the predation mortality rate of each species
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Plot predation mortality rate of each species against size — plotPredMort"><meta name="description" content="After running a projection, plot the predation mortality rate of each species
 by size. The mortality rate is averaged over the specified time range (a
 single value for the time range can be used to plot a single time step)."><meta property="og:description" content="After running a projection, plot the predation mortality rate of each species
 by size. The mortality rate is averaged over the specified time range (a
@@ -17,7 +17,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -38,13 +38,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -54,7 +62,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -85,7 +94,10 @@
 
     <div class="section level2">
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">plotPredMort</span><span class="op">(</span></span>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">plotPredMort</span><span class="op">(</span><span class="va">object</span>, <span class="va">...</span><span class="op">)</span></span>
+<span></span>
+<span><span class="co"># S3 method for class 'MizerSim'</span></span>
+<span><span class="fu">plotPredMort</span><span class="op">(</span></span>
 <span>  <span class="va">object</span>,</span>
 <span>  species <span class="op">=</span> <span class="cn">NULL</span>,</span>
 <span>  <span class="va">time_range</span>,</span>
@@ -95,6 +107,16 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 <span>  <span class="va">...</span></span>
 <span><span class="op">)</span></span>
 <span></span>
+<span><span class="co"># S3 method for class 'MizerParams'</span></span>
+<span><span class="fu">plotPredMort</span><span class="op">(</span></span>
+<span>  <span class="va">object</span>,</span>
+<span>  species <span class="op">=</span> <span class="cn">NULL</span>,</span>
+<span>  all.sizes <span class="op">=</span> <span class="cn">FALSE</span>,</span>
+<span>  highlight <span class="op">=</span> <span class="cn">NULL</span>,</span>
+<span>  return_data <span class="op">=</span> <span class="cn">FALSE</span>,</span>
+<span>  <span class="va">...</span></span>
+<span><span class="op">)</span></span>
+<span></span>
 <span><span class="fu">plotlyPredMort</span><span class="op">(</span><span class="va">object</span>, species <span class="op">=</span> <span class="cn">NULL</span>, <span class="va">time_range</span>, highlight <span class="op">=</span> <span class="cn">NULL</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
     </div>
 
@@ -107,6 +129,10 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 <a href="MizerParams-class.html">MizerParams</a>.</p></dd>
 
 
+<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
+<dd><p>Other arguments (currently unused)</p></dd>
+
+
 <dt id="arg-species">species<a class="anchor" aria-label="anchor" href="#arg-species"></a></dt>
 <dd><p>The species to be selected. Optional. By default all target
 species are selected. A vector of species names, or a
@@ -134,10 +160,6 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 <dd><p>A boolean value that determines whether the formatted data
 used for the plot is returned instead of the plot itself. Default value is FALSE</p></dd>
 
-
-<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
-<dd><p>Other arguments (currently unused)</p></dd>
-
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
@@ -149,13 +171,14 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
     <div class="dont-index"><p><a href="plotting_functions.html">plotting_functions</a>,  <code><a href="getPredMort.html">getPredMort()</a></code></p>
 <p>Other plotting functions:
 <code><a href="animateSpectra.html">animateSpectra()</a></code>,
-<code><a href="plot-MizerParams-missing-method.html">plot,MizerParams,missing-method</a></code>,
-<code><a href="plotMizerSim.html">plot,MizerSim,missing-method</a></code>,
+<code><a href="plot.html">plot</a></code>,
 <code><a href="plotBiomass.html">plotBiomass()</a></code>,
 <code><a href="plotDiet.html">plotDiet()</a></code>,
 <code><a href="plotFMort.html">plotFMort()</a></code>,
 <code><a href="plotFeedingLevel.html">plotFeedingLevel()</a></code>,
 <code><a href="plotGrowthCurves.html">plotGrowthCurves()</a></code>,
+<code><a href="plotMizerParams.html">plotMizerParams</a></code>,
+<code><a href="plotMizerSim.html">plotMizerSim</a></code>,
 <code><a href="plotSpectra.html">plotSpectra()</a></code>,
 <code><a href="plotYield.html">plotYield()</a></code>,
 <code><a href="plotYieldGear.html">plotYieldGear()</a></code>,
@@ -175,10 +198,11 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-in"><span><span class="co"># Returning the data frame</span></span></span>
 <span class="r-in"><span><span class="va">fr</span> <span class="op">&lt;-</span> <span class="fu">plotPredMort</span><span class="op">(</span><span class="va">sim</span>, return_data <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/utils/str.html" class="external-link">str</a></span><span class="op">(</span><span class="va">fr</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 'data.frame':	934 obs. of  3 variables:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 'data.frame':	934 obs. of  4 variables:</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>  $ w      : num  0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 ...</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>  $ value  : num  2.67 1.11 3.87 4.24 3.4 ...</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>  $ Species: chr  "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  $ Legend : chr  "Sprat" "Sandeel" "N.pout" "Herring" ...</span>
 <span class="r-in"><span><span class="co"># }</span></span></span>
 </code></pre></div>
     </div>
diff --git a/docs/reference/plotSpectra-1.png b/docs/reference/plotSpectra-1.png
index b848edc44..7814167e1 100644
Binary files a/docs/reference/plotSpectra-1.png and b/docs/reference/plotSpectra-1.png differ
diff --git a/docs/reference/plotSpectra-2.png b/docs/reference/plotSpectra-2.png
index cffe3d021..81ca9ad20 100644
Binary files a/docs/reference/plotSpectra-2.png and b/docs/reference/plotSpectra-2.png differ
diff --git a/docs/reference/plotSpectra-3.png b/docs/reference/plotSpectra-3.png
index d347bd1d8..4e7f1777e 100644
Binary files a/docs/reference/plotSpectra-3.png and b/docs/reference/plotSpectra-3.png differ
diff --git a/docs/reference/plotSpectra-4.png b/docs/reference/plotSpectra-4.png
index a7e6369f9..b9b55eddb 100644
Binary files a/docs/reference/plotSpectra-4.png and b/docs/reference/plotSpectra-4.png differ
diff --git a/docs/reference/plotSpectra-5.png b/docs/reference/plotSpectra-5.png
index 817121501..f4a1054c8 100644
Binary files a/docs/reference/plotSpectra-5.png and b/docs/reference/plotSpectra-5.png differ
diff --git a/docs/reference/plotSpectra.MizerParams.html b/docs/reference/plotSpectra.MizerParams.html
new file mode 100644
index 000000000..f0e7f3f46
--- /dev/null
+++ b/docs/reference/plotSpectra.MizerParams.html
@@ -0,0 +1,8 @@
+<html>
+  <head>
+    <meta http-equiv="refresh" content="0;URL=https://sizespectrum.org/mizer/reference/plotSpectra.html" />
+    <meta name="robots" content="noindex">
+    <link rel="canonical" href="https://sizespectrum.org/mizer/reference/plotSpectra.html">
+  </head>
+</html>
+
diff --git a/docs/reference/plotSpectra.MizerSim.html b/docs/reference/plotSpectra.MizerSim.html
new file mode 100644
index 000000000..f0e7f3f46
--- /dev/null
+++ b/docs/reference/plotSpectra.MizerSim.html
@@ -0,0 +1,8 @@
+<html>
+  <head>
+    <meta http-equiv="refresh" content="0;URL=https://sizespectrum.org/mizer/reference/plotSpectra.html" />
+    <meta name="robots" content="noindex">
+    <link rel="canonical" href="https://sizespectrum.org/mizer/reference/plotSpectra.html">
+  </head>
+</html>
+
diff --git a/docs/reference/plotSpectra.html b/docs/reference/plotSpectra.html
index f60a77e62..c59e2bf3e 100644
--- a/docs/reference/plotSpectra.html
+++ b/docs/reference/plotSpectra.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Plot the abundance spectra — plotSpectra"><meta name="description" content="Plots the number density multiplied by a power of the weight, with the power
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Plot the abundance spectra — plotSpectra"><meta name="description" content="Plots the number density multiplied by a power of the weight, with the power
 specified by the power argument."><meta property="og:description" content="Plots the number density multiplied by a power of the weight, with the power
 specified by the power argument."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
@@ -15,7 +15,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -36,13 +36,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -52,7 +60,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -82,7 +91,10 @@
 
     <div class="section level2">
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">plotSpectra</span><span class="op">(</span></span>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">plotSpectra</span><span class="op">(</span><span class="va">object</span>, <span class="va">...</span><span class="op">)</span></span>
+<span></span>
+<span><span class="co"># S3 method for class 'MizerSim'</span></span>
+<span><span class="fu">plotSpectra</span><span class="op">(</span></span>
 <span>  <span class="va">object</span>,</span>
 <span>  species <span class="op">=</span> <span class="cn">NULL</span>,</span>
 <span>  <span class="va">time_range</span>,</span>
@@ -99,6 +111,22 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 <span>  <span class="va">...</span></span>
 <span><span class="op">)</span></span>
 <span></span>
+<span><span class="co"># S3 method for class 'MizerParams'</span></span>
+<span><span class="fu">plotSpectra</span><span class="op">(</span></span>
+<span>  <span class="va">object</span>,</span>
+<span>  species <span class="op">=</span> <span class="cn">NULL</span>,</span>
+<span>  wlim <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="cn">NA</span>, <span class="cn">NA</span><span class="op">)</span>,</span>
+<span>  ylim <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="cn">NA</span>, <span class="cn">NA</span><span class="op">)</span>,</span>
+<span>  power <span class="op">=</span> <span class="fl">1</span>,</span>
+<span>  biomass <span class="op">=</span> <span class="cn">TRUE</span>,</span>
+<span>  total <span class="op">=</span> <span class="cn">FALSE</span>,</span>
+<span>  resource <span class="op">=</span> <span class="cn">TRUE</span>,</span>
+<span>  background <span class="op">=</span> <span class="cn">TRUE</span>,</span>
+<span>  highlight <span class="op">=</span> <span class="cn">NULL</span>,</span>
+<span>  return_data <span class="op">=</span> <span class="cn">FALSE</span>,</span>
+<span>  <span class="va">...</span></span>
+<span><span class="op">)</span></span>
+<span></span>
 <span><span class="fu">plotlySpectra</span><span class="op">(</span></span>
 <span>  <span class="va">object</span>,</span>
 <span>  species <span class="op">=</span> <span class="cn">NULL</span>,</span>
@@ -125,6 +153,10 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 <a href="MizerParams-class.html">MizerParams</a>.</p></dd>
 
 
+<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
+<dd><p>Other arguments (currently unused)</p></dd>
+
+
 <dt id="arg-species">species<a class="anchor" aria-label="anchor" href="#arg-species"></a></dt>
 <dd><p>The species to be selected. Optional. By default all target
 species are selected. A vector of species names, or a
@@ -198,10 +230,6 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 <dd><p>A boolean value that determines whether the formatted data
 used for the plot is returned instead of the plot itself. Default value is FALSE</p></dd>
 
-
-<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
-<dd><p>Other arguments (currently unused)</p></dd>
-
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
@@ -221,13 +249,14 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
     <div class="dont-index"><p><a href="plotting_functions.html">plotting_functions</a></p>
 <p>Other plotting functions:
 <code><a href="animateSpectra.html">animateSpectra()</a></code>,
-<code><a href="plot-MizerParams-missing-method.html">plot,MizerParams,missing-method</a></code>,
-<code><a href="plotMizerSim.html">plot,MizerSim,missing-method</a></code>,
+<code><a href="plot.html">plot</a></code>,
 <code><a href="plotBiomass.html">plotBiomass()</a></code>,
 <code><a href="plotDiet.html">plotDiet()</a></code>,
 <code><a href="plotFMort.html">plotFMort()</a></code>,
 <code><a href="plotFeedingLevel.html">plotFeedingLevel()</a></code>,
 <code><a href="plotGrowthCurves.html">plotGrowthCurves()</a></code>,
+<code><a href="plotMizerParams.html">plotMizerParams</a></code>,
+<code><a href="plotMizerSim.html">plotMizerSim</a></code>,
 <code><a href="plotPredMort.html">plotPredMort()</a></code>,
 <code><a href="plotYield.html">plotYield()</a></code>,
 <code><a href="plotYieldGear.html">plotYieldGear()</a></code>,
diff --git a/docs/reference/plotYield.MizerSim.html b/docs/reference/plotYield.MizerSim.html
new file mode 100644
index 000000000..9cca0749d
--- /dev/null
+++ b/docs/reference/plotYield.MizerSim.html
@@ -0,0 +1,8 @@
+<html>
+  <head>
+    <meta http-equiv="refresh" content="0;URL=https://sizespectrum.org/mizer/reference/plotYield.html" />
+    <meta name="robots" content="noindex">
+    <link rel="canonical" href="https://sizespectrum.org/mizer/reference/plotYield.html">
+  </head>
+</html>
+
diff --git a/docs/reference/plotYield.html b/docs/reference/plotYield.html
index ff04984fd..30afd5663 100644
--- a/docs/reference/plotYield.html
+++ b/docs/reference/plotYield.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Plot the total yield of species through time — plotYield"><meta name="description" content="After running a projection, the total yield of each species across all
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Plot the total yield of species through time — plotYield"><meta name="description" content="After running a projection, the total yield of each species across all
 fishing gears can be plotted against time. The yield is obtained with
 getYield()."><meta property="og:description" content="After running a projection, the total yield of each species across all
 fishing gears can be plotted against time. The yield is obtained with
@@ -17,7 +17,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -38,13 +38,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -54,7 +62,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -85,7 +94,10 @@
 
     <div class="section level2">
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">plotYield</span><span class="op">(</span></span>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">plotYield</span><span class="op">(</span><span class="va">sim</span>, <span class="va">...</span><span class="op">)</span></span>
+<span></span>
+<span><span class="co"># S3 method for class 'MizerSim'</span></span>
+<span><span class="fu">plotYield</span><span class="op">(</span></span>
 <span>  <span class="va">sim</span>,</span>
 <span>  <span class="va">sim2</span>,</span>
 <span>  species <span class="op">=</span> <span class="cn">NULL</span>,</span>
@@ -115,6 +127,10 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 <dd><p>An object of class <a href="MizerSim-class.html">MizerSim</a></p></dd>
 
 
+<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
+<dd><p>Other arguments (currently unused)</p></dd>
+
+
 <dt id="arg-sim-">sim2<a class="anchor" aria-label="anchor" href="#arg-sim-"></a></dt>
 <dd><p>An optional second object of class <a href="MizerSim-class.html">MizerSim</a>. If
 this is provided its yields will be shown on the same plot in bolder lines.</p></dd>
@@ -147,10 +163,6 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 <dd><p>A boolean value that determines whether the formatted data
 used for the plot is returned instead of the plot itself. Default value is FALSE</p></dd>
 
-
-<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
-<dd><p>Other arguments (currently unused)</p></dd>
-
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
@@ -162,13 +174,14 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
     <div class="dont-index"><p><a href="plotting_functions.html">plotting_functions</a>,  <code><a href="getYield.html">getYield()</a></code></p>
 <p>Other plotting functions:
 <code><a href="animateSpectra.html">animateSpectra()</a></code>,
-<code><a href="plot-MizerParams-missing-method.html">plot,MizerParams,missing-method</a></code>,
-<code><a href="plotMizerSim.html">plot,MizerSim,missing-method</a></code>,
+<code><a href="plot.html">plot</a></code>,
 <code><a href="plotBiomass.html">plotBiomass()</a></code>,
 <code><a href="plotDiet.html">plotDiet()</a></code>,
 <code><a href="plotFMort.html">plotFMort()</a></code>,
 <code><a href="plotFeedingLevel.html">plotFeedingLevel()</a></code>,
 <code><a href="plotGrowthCurves.html">plotGrowthCurves()</a></code>,
+<code><a href="plotMizerParams.html">plotMizerParams</a></code>,
+<code><a href="plotMizerSim.html">plotMizerSim</a></code>,
 <code><a href="plotPredMort.html">plotPredMort()</a></code>,
 <code><a href="plotSpectra.html">plotSpectra()</a></code>,
 <code><a href="plotYieldGear.html">plotYieldGear()</a></code>,
diff --git a/docs/reference/plotYieldGear.MizerSim.html b/docs/reference/plotYieldGear.MizerSim.html
new file mode 100644
index 000000000..bb067ed40
--- /dev/null
+++ b/docs/reference/plotYieldGear.MizerSim.html
@@ -0,0 +1,8 @@
+<html>
+  <head>
+    <meta http-equiv="refresh" content="0;URL=https://sizespectrum.org/mizer/reference/plotYieldGear.html" />
+    <meta name="robots" content="noindex">
+    <link rel="canonical" href="https://sizespectrum.org/mizer/reference/plotYieldGear.html">
+  </head>
+</html>
+
diff --git a/docs/reference/plotYieldGear.html b/docs/reference/plotYieldGear.html
index a0cf11092..52910f16b 100644
--- a/docs/reference/plotYieldGear.html
+++ b/docs/reference/plotYieldGear.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Plot the total yield of each species by gear through time — plotYieldGear"><meta name="description" content="After running a projection, the total yield of each species by fishing gear
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Plot the total yield of each species by gear through time — plotYieldGear"><meta name="description" content="After running a projection, the total yield of each species by fishing gear
 can be plotted against time."><meta property="og:description" content="After running a projection, the total yield of each species by fishing gear
 can be plotted against time."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
@@ -15,7 +15,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -36,13 +36,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -52,7 +60,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -82,7 +91,10 @@
 
     <div class="section level2">
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">plotYieldGear</span><span class="op">(</span></span>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">plotYieldGear</span><span class="op">(</span><span class="va">sim</span>, <span class="va">...</span><span class="op">)</span></span>
+<span></span>
+<span><span class="co"># S3 method for class 'MizerSim'</span></span>
+<span><span class="fu">plotYieldGear</span><span class="op">(</span></span>
 <span>  <span class="va">sim</span>,</span>
 <span>  species <span class="op">=</span> <span class="cn">NULL</span>,</span>
 <span>  gears <span class="op">=</span> <span class="cn">NULL</span>,</span>
@@ -103,6 +115,10 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 <dd><p>An object of class <a href="MizerSim-class.html">MizerSim</a></p></dd>
 
 
+<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
+<dd><p>Other arguments (currently unused)</p></dd>
+
+
 <dt id="arg-species">species<a class="anchor" aria-label="anchor" href="#arg-species"></a></dt>
 <dd><p>The species to be selected. Optional. By default all target
 species are selected. A vector of species names, or a
@@ -130,10 +146,6 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 <dd><p>A boolean value that determines whether the formatted data
 used for the plot is returned instead of the plot itself. Default value is FALSE</p></dd>
 
-
-<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
-<dd><p>Other arguments (currently unused)</p></dd>
-
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
@@ -153,13 +165,14 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
     <div class="dont-index"><p><a href="plotting_functions.html">plotting_functions</a>,  <code><a href="getYieldGear.html">getYieldGear()</a></code></p>
 <p>Other plotting functions:
 <code><a href="animateSpectra.html">animateSpectra()</a></code>,
-<code><a href="plot-MizerParams-missing-method.html">plot,MizerParams,missing-method</a></code>,
-<code><a href="plotMizerSim.html">plot,MizerSim,missing-method</a></code>,
+<code><a href="plot.html">plot</a></code>,
 <code><a href="plotBiomass.html">plotBiomass()</a></code>,
 <code><a href="plotDiet.html">plotDiet()</a></code>,
 <code><a href="plotFMort.html">plotFMort()</a></code>,
 <code><a href="plotFeedingLevel.html">plotFeedingLevel()</a></code>,
 <code><a href="plotGrowthCurves.html">plotGrowthCurves()</a></code>,
+<code><a href="plotMizerParams.html">plotMizerParams</a></code>,
+<code><a href="plotMizerSim.html">plotMizerSim</a></code>,
 <code><a href="plotPredMort.html">plotPredMort()</a></code>,
 <code><a href="plotSpectra.html">plotSpectra()</a></code>,
 <code><a href="plotYield.html">plotYield()</a></code>,
diff --git a/docs/reference/plotYieldObservedVsModel-1.png b/docs/reference/plotYieldObservedVsModel-1.png
index a4c49029c..f49646a9c 100644
Binary files a/docs/reference/plotYieldObservedVsModel-1.png and b/docs/reference/plotYieldObservedVsModel-1.png differ
diff --git a/docs/reference/plotYieldObservedVsModel-2.png b/docs/reference/plotYieldObservedVsModel-2.png
index 2d093fc64..100761688 100644
Binary files a/docs/reference/plotYieldObservedVsModel-2.png and b/docs/reference/plotYieldObservedVsModel-2.png differ
diff --git a/docs/reference/plotYieldObservedVsModel-3.png b/docs/reference/plotYieldObservedVsModel-3.png
index 88aa3b56b..28eab8747 100644
Binary files a/docs/reference/plotYieldObservedVsModel-3.png and b/docs/reference/plotYieldObservedVsModel-3.png differ
diff --git a/docs/reference/plotYieldObservedVsModel.html b/docs/reference/plotYieldObservedVsModel.html
index 2e579dac9..f725d07aa 100644
--- a/docs/reference/plotYieldObservedVsModel.html
+++ b/docs/reference/plotYieldObservedVsModel.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Plotting observed vs. model yields — plotYieldObservedVsModel"><meta name="description" content="
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Plotting observed vs. model yields — plotYieldObservedVsModel"><meta name="description" content="
 If yield observations are available for at least some species via the
 yield_observed column in the species parameter data frame, this function
 plots the yield of each species in the model against the observed
@@ -23,7 +23,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -44,13 +44,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -60,7 +68,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -101,7 +110,8 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 <span>  log_scale <span class="op">=</span> <span class="cn">TRUE</span>,</span>
 <span>  return_data <span class="op">=</span> <span class="cn">FALSE</span>,</span>
 <span>  labels <span class="op">=</span> <span class="cn">TRUE</span>,</span>
-<span>  show_unobserved <span class="op">=</span> <span class="cn">FALSE</span></span>
+<span>  show_unobserved <span class="op">=</span> <span class="cn">FALSE</span>,</span>
+<span>  <span class="va">...</span></span>
 <span><span class="op">)</span></span>
 <span></span>
 <span><span class="fu">plotlyYieldObservedVsModel</span><span class="op">(</span></span>
@@ -109,8 +119,8 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 <span>  species <span class="op">=</span> <span class="cn">NULL</span>,</span>
 <span>  ratio <span class="op">=</span> <span class="cn">FALSE</span>,</span>
 <span>  log_scale <span class="op">=</span> <span class="cn">TRUE</span>,</span>
-<span>  return_data <span class="op">=</span> <span class="cn">FALSE</span>,</span>
-<span>  show_unobserved <span class="op">=</span> <span class="cn">FALSE</span></span>
+<span>  show_unobserved <span class="op">=</span> <span class="cn">FALSE</span>,</span>
+<span>  <span class="va">...</span></span>
 <span><span class="op">)</span></span></code></pre></div>
     </div>
 
@@ -156,6 +166,10 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 yield observation is available. If TRUE, these species will be
 shown as if their observed yield was equal to the model yield.</p></dd>
 
+
+<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
+<dd><p>Additional arguments passed to the generic function.</p></dd>
+
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
diff --git a/docs/reference/plotting_functions.html b/docs/reference/plotting_functions.html
index 6bd078ff7..becdd67de 100644
--- a/docs/reference/plotting_functions.html
+++ b/docs/reference/plotting_functions.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Description of the plotting functions — plotting_functions"><meta name="description" content="Mizer provides a range of plotting functions for visualising the results
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Description of the plotting functions — plotting_functions"><meta name="description" content="Mizer provides a range of plotting functions for visualising the results
 of running a simulation, stored in a MizerSim object, or the initial state
 stored in a MizerParams object.
 Every plotting function exists in two versions, plotSomething and
@@ -23,7 +23,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -44,13 +44,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -60,7 +68,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -95,12 +104,25 @@
 
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
-    <p>This table shows the available plotting functions.</p><table class="table table"><tr><td>Plot</td><td>Description</td></tr><tr><td><code><a href="plotBiomass.html">plotBiomass()</a></code></td><td>Plots the total biomass of each species through time. A time range to be plotted can be specified. The size range of the community can be specified in the same way as for <code><a href="getBiomass.html">getBiomass()</a></code>.</td></tr><tr><td><code><a href="plotSpectra.html">plotSpectra()</a></code></td><td>Plots the abundance (biomass or numbers) spectra of each species and the background community. It is possible to specify a minimum size which is useful for truncating the plot.</td></tr><tr><td><code><a href="plotFeedingLevel.html">plotFeedingLevel()</a></code></td><td>Plots the feeding level of each species against size.</td></tr><tr><td><code><a href="plotPredMort.html">plotPredMort()</a></code></td><td>Plots the predation mortality of each species against size.</td></tr><tr><td><code><a href="plotFMort.html">plotFMort()</a></code></td><td>Plots the total fishing mortality of each species against size.</td></tr><tr><td><code><a href="plotYield.html">plotYield()</a></code></td><td>Plots the total yield of each species across all fishing gears against time.</td></tr><tr><td><code><a href="plotYieldGear.html">plotYieldGear()</a></code></td><td>Plots the total yield of each species by gear against time.</td></tr><tr><td><code><a href="plotDiet.html">plotDiet()</a></code></td><td>Plots the diet composition at size for a given predator species.</td></tr><tr><td><code><a href="plotGrowthCurves.html">plotGrowthCurves()</a></code></td><td>Plots the size as a function of age.</td></tr><tr><td><code><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot()</a></code></td><td>Produces 5 plots (<code><a href="plotFeedingLevel.html">plotFeedingLevel()</a></code>, <code><a href="plotBiomass.html">plotBiomass()</a></code>, <code><a href="plotPredMort.html">plotPredMort()</a></code>, <code><a href="plotFMort.html">plotFMort()</a></code> and <code><a href="plotSpectra.html">plotSpectra()</a></code>) in the same window.</td></tr></table><p>These functions use the ggplot2 package and return the plot as a ggplot
+    <p>This table shows the available plotting functions.</p><table class="table table"><tr><td>Plot</td><td>Description</td></tr><tr><td><code><a href="plotBiomass.html">plotBiomass()</a></code></td><td>Plots the total biomass of each species through time. A time range to be plotted can be specified. The size range of the community can be specified in the same way as for <code><a href="getBiomass.html">getBiomass()</a></code>.</td></tr><tr><td><code><a href="plotSpectra.html">plotSpectra()</a></code></td><td>Plots the abundance (biomass or numbers) spectra of each species and the background community. It is possible to specify a minimum size which is useful for truncating the plot.</td></tr><tr><td><code><a href="plotFeedingLevel.html">plotFeedingLevel()</a></code></td><td>Plots the feeding level of each species against size.</td></tr><tr><td><code><a href="plotPredMort.html">plotPredMort()</a></code></td><td>Plots the predation mortality of each species against size.</td></tr><tr><td><code><a href="plotFMort.html">plotFMort()</a></code></td><td>Plots the total fishing mortality of each species against size.</td></tr><tr><td><code><a href="plotYield.html">plotYield()</a></code></td><td>Plots the total yield of each species across all fishing gears against time.</td></tr><tr><td><code><a href="plotYieldGear.html">plotYieldGear()</a></code></td><td>Plots the total yield of each species by gear against time.</td></tr><tr><td><code><a href="plotDiet.html">plotDiet()</a></code></td><td>Plots the diet composition at size for a given predator species.</td></tr><tr><td><code><a href="plotGrowthCurves.html">plotGrowthCurves()</a></code></td><td>Plots the size as a function of age.</td></tr><tr><td><code><a href="plot.html">plot()</a></code></td><td>Produces 5 plots (<code><a href="plotFeedingLevel.html">plotFeedingLevel()</a></code>, <code><a href="plotBiomass.html">plotBiomass()</a></code>, <code><a href="plotPredMort.html">plotPredMort()</a></code>, <code><a href="plotFMort.html">plotFMort()</a></code> and <code><a href="plotSpectra.html">plotSpectra()</a></code>) in the same window.</td></tr></table><p>These functions use the ggplot2 package and return the plot as a ggplot
 object. This means that you can manipulate the plot further after its
 creation using the ggplot grammar of graphics. The corresponding function
 names with <code>plot</code> replaced by <code>plotly</code> produce interactive plots
 with the help of the plotly package.</p>
-<p>While most plot functions take their data from a MizerSim object, some of
+<p>In addition to the named plot functions above, mizer provides generic
+<code><a href="plot.html">plot()</a></code> methods and <code><a href="https://rdrr.io/pkg/plotly/man/ggplotly.html" class="external-link">ggplotly()</a></code> methods for the array classes
+returned by the
+rate and summary functions:</p><ul><li><p><code>plot(&lt;ArraySpeciesBySize&gt;)</code> — plots any species-by-size array (such as
+those returned by <code><a href="getEncounter.html">getEncounter()</a></code>, <code><a href="getFeedingLevel.html">getFeedingLevel()</a></code>, <code><a href="getPredMort.html">getPredMort()</a></code>,
+<code><a href="getFMort.html">getFMort()</a></code>, <code><a href="setSearchVolume.html">getSearchVolume()</a></code>, etc.) as lines of value against body
+size, one line per species.</p></li>
+<li><p><code>plot(&lt;ArraySpeciesByTime&gt;)</code> — plots any time-by-species array (such as
+those returned by <code><a href="getBiomass.html">getBiomass()</a></code>, <code><a href="getSSB.html">getSSB()</a></code>, <code><a href="getYield.html">getYield()</a></code>, and <code><a href="getN.html">getN()</a></code>
+on a <code>MizerSim</code>) as lines of value against time, one line per species.</p></li>
+<li><p><code><a href="https://rdrr.io/pkg/plotly/man/ggplotly.html" class="external-link">ggplotly()</a></code> is similar to <code><a href="plot.html">plot()</a></code> but produces an interactive
+figure. Call it as <code>ggplotly(getEncounter(params))</code> or
+<code>ggplotly(getBiomass(sim))</code>.</p></li>
+</ul><p>While most plot functions take their data from a MizerSim object, some of
 those that make plots representing data at a single time can also take their
 data from the initial values in a MizerParams object.</p>
 <p>Where plots show results for species, the line colour and line type for each
@@ -120,13 +142,14 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
     <div class="dont-index"><p><a href="summary_functions.html">summary_functions</a>, <a href="indicator_functions.html">indicator_functions</a></p>
 <p>Other plotting functions:
 <code><a href="animateSpectra.html">animateSpectra()</a></code>,
-<code><a href="plot-MizerParams-missing-method.html">plot,MizerParams,missing-method</a></code>,
-<code><a href="plotMizerSim.html">plot,MizerSim,missing-method</a></code>,
+<code><a href="plot.html">plot</a></code>,
 <code><a href="plotBiomass.html">plotBiomass()</a></code>,
 <code><a href="plotDiet.html">plotDiet()</a></code>,
 <code><a href="plotFMort.html">plotFMort()</a></code>,
 <code><a href="plotFeedingLevel.html">plotFeedingLevel()</a></code>,
 <code><a href="plotGrowthCurves.html">plotGrowthCurves()</a></code>,
+<code><a href="plotMizerParams.html">plotMizerParams</a></code>,
+<code><a href="plotMizerSim.html">plotMizerSim</a></code>,
 <code><a href="plotPredMort.html">plotPredMort()</a></code>,
 <code><a href="plotSpectra.html">plotSpectra()</a></code>,
 <code><a href="plotYield.html">plotYield()</a></code>,
diff --git a/docs/reference/power_law_pred_kernel-1.png b/docs/reference/power_law_pred_kernel-1.png
index 0b22c1656..1be652343 100644
Binary files a/docs/reference/power_law_pred_kernel-1.png and b/docs/reference/power_law_pred_kernel-1.png differ
diff --git a/docs/reference/power_law_pred_kernel.html b/docs/reference/power_law_pred_kernel.html
index 0e5fd0778..c89a14692 100644
--- a/docs/reference/power_law_pred_kernel.html
+++ b/docs/reference/power_law_pred_kernel.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Power-law predation kernel — power_law_pred_kernel"><meta name="description" content="This predation kernel is a power-law, with sigmoidal cut-offs at large and
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Power-law predation kernel — power_law_pred_kernel"><meta name="description" content="This predation kernel is a power-law, with sigmoidal cut-offs at large and
 small predator/prey mass ratios."><meta property="og:description" content="This predation kernel is a power-law, with sigmoidal cut-offs at large and
 small predator/prey mass ratios."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
@@ -15,7 +15,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -36,13 +36,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -52,7 +60,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -155,8 +164,8 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-in"><span><span class="fu"><a href="species_params.html">species_params</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span><span class="op">[</span><span class="st">"Cod"</span>, <span class="st">"kernel_u_l"</span><span class="op">]</span> <span class="op">&lt;-</span> <span class="fl">3</span></span></span>
 <span class="r-in"><span><span class="fu"><a href="species_params.html">species_params</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span><span class="op">[</span><span class="st">"Cod"</span>, <span class="st">"kernel_l_r"</span><span class="op">]</span> <span class="op">&lt;-</span> <span class="fl">12.5</span></span></span>
 <span class="r-in"><span><span class="fu"><a href="species_params.html">species_params</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span><span class="op">[</span><span class="st">"Cod"</span>, <span class="st">"kernel_u_r"</span><span class="op">]</span> <span class="op">&lt;-</span> <span class="fl">4.3</span></span></span>
-<span class="r-in"><span><span class="fu"><a href="species_params.html">species_params</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span><span class="op">[</span><span class="st">"Cod"</span>, <span class="st">"kernel_type"</span><span class="op">]</span> <span class="op">&lt;-</span> <span class="st">"power_law"</span></span></span>
-<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span><span class="fu"><a href="w.html">w_full</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span>, <span class="fu"><a href="setPredKernel.html">getPredKernel</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span><span class="op">[</span><span class="st">"Cod"</span>, <span class="fl">10</span>, <span class="op">]</span>, type<span class="op">=</span><span class="st">"l"</span>, log<span class="op">=</span><span class="st">"x"</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="fu"><a href="species_params.html">species_params</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span><span class="op">[</span><span class="st">"Cod"</span>, <span class="st">"pred_kernel_type"</span><span class="op">]</span> <span class="op">&lt;-</span> <span class="st">"power_law"</span></span></span>
+<span class="r-in"><span><span class="fu"><a href="plot.html">plot</a></span><span class="op">(</span><span class="fu"><a href="w.html">w_full</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span>, <span class="fu"><a href="setPredKernel.html">getPredKernel</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span><span class="op">[</span><span class="st">"Cod"</span>, <span class="fl">10</span>, <span class="op">]</span>, type<span class="op">=</span><span class="st">"l"</span>, log<span class="op">=</span><span class="st">"x"</span><span class="op">)</span></span></span>
 <span class="r-plt img"><img src="power_law_pred_kernel-1.png" alt="" width="700" height="433"></span>
 </code></pre></div>
     </div>
diff --git a/docs/reference/project.MizerParams.html b/docs/reference/project.MizerParams.html
new file mode 100644
index 000000000..3d97ae505
--- /dev/null
+++ b/docs/reference/project.MizerParams.html
@@ -0,0 +1,8 @@
+<html>
+  <head>
+    <meta http-equiv="refresh" content="0;URL=https://sizespectrum.org/mizer/reference/project.html" />
+    <meta name="robots" content="noindex">
+    <link rel="canonical" href="https://sizespectrum.org/mizer/reference/project.html">
+  </head>
+</html>
+
diff --git a/docs/reference/project.MizerSim.html b/docs/reference/project.MizerSim.html
new file mode 100644
index 000000000..3d97ae505
--- /dev/null
+++ b/docs/reference/project.MizerSim.html
@@ -0,0 +1,8 @@
+<html>
+  <head>
+    <meta http-equiv="refresh" content="0;URL=https://sizespectrum.org/mizer/reference/project.html" />
+    <meta name="robots" content="noindex">
+    <link rel="canonical" href="https://sizespectrum.org/mizer/reference/project.html">
+  </head>
+</html>
+
diff --git a/docs/reference/project.html b/docs/reference/project.html
index cbd59727e..876bcba3f 100644
--- a/docs/reference/project.html
+++ b/docs/reference/project.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Project size spectrum forward in time — project"><meta name="description" content="Runs the size spectrum model simulation.
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Project size spectrum forward in time — project"><meta name="description" content="Runs the size spectrum model simulation.
 The function returns an object of type
 MizerSim that can then be explored with a range of
 summary_functions, indicator_functions and
@@ -21,7 +21,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -42,13 +42,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -58,7 +66,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -103,6 +112,36 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 <span>  append <span class="op">=</span> <span class="cn">TRUE</span>,</span>
 <span>  progress_bar <span class="op">=</span> <span class="cn">TRUE</span>,</span>
 <span>  <span class="va">...</span></span>
+<span><span class="op">)</span></span>
+<span></span>
+<span><span class="co"># S3 method for class 'MizerParams'</span></span>
+<span><span class="fu">project</span><span class="op">(</span></span>
+<span>  <span class="va">object</span>,</span>
+<span>  <span class="va">effort</span>,</span>
+<span>  t_max <span class="op">=</span> <span class="fl">100</span>,</span>
+<span>  dt <span class="op">=</span> <span class="fl">0.1</span>,</span>
+<span>  t_save <span class="op">=</span> <span class="fl">1</span>,</span>
+<span>  t_start <span class="op">=</span> <span class="fl">0</span>,</span>
+<span>  <span class="va">initial_n</span>,</span>
+<span>  <span class="va">initial_n_pp</span>,</span>
+<span>  append <span class="op">=</span> <span class="cn">TRUE</span>,</span>
+<span>  progress_bar <span class="op">=</span> <span class="cn">TRUE</span>,</span>
+<span>  <span class="va">...</span></span>
+<span><span class="op">)</span></span>
+<span></span>
+<span><span class="co"># S3 method for class 'MizerSim'</span></span>
+<span><span class="fu">project</span><span class="op">(</span></span>
+<span>  <span class="va">object</span>,</span>
+<span>  <span class="va">effort</span>,</span>
+<span>  t_max <span class="op">=</span> <span class="fl">100</span>,</span>
+<span>  dt <span class="op">=</span> <span class="fl">0.1</span>,</span>
+<span>  t_save <span class="op">=</span> <span class="fl">1</span>,</span>
+<span>  t_start <span class="op">=</span> <span class="fl">0</span>,</span>
+<span>  <span class="va">initial_n</span>,</span>
+<span>  <span class="va">initial_n_pp</span>,</span>
+<span>  append <span class="op">=</span> <span class="cn">TRUE</span>,</span>
+<span>  progress_bar <span class="op">=</span> <span class="cn">TRUE</span>,</span>
+<span>  <span class="va">...</span></span>
 <span><span class="op">)</span></span></code></pre></div>
     </div>
 
@@ -121,8 +160,9 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 
 <dt id="arg-t-max">t_max<a class="anchor" aria-label="anchor" href="#arg-t-max"></a></dt>
 <dd><p>The number of years the projection runs for. The default value
-is 100. This argument is ignored if an array is used for the <code>effort</code>
-argument. See notes below.</p></dd>
+is 100. When an effort array is supplied, this argument can be used to
+extend the simulation beyond the times specified in the effort array.
+See notes below.</p></dd>
 
 
 <dt id="arg-dt">dt<a class="anchor" aria-label="anchor" href="#arg-dt"></a></dt>
@@ -131,8 +171,9 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 
 <dt id="arg-t-save">t_save<a class="anchor" aria-label="anchor" href="#arg-t-save"></a></dt>
 <dd><p>The frequency with which the output is stored. The default
-value is 1. This argument is ignored if an array is used for the <code>effort</code>
-argument. See notes below.</p></dd>
+value is 1. When an effort array is supplied, this argument can be used
+to control the times at which the simulation results are saved.
+See notes below.</p></dd>
 
 
 <dt id="arg-t-start">t_start<a class="anchor" aria-label="anchor" href="#arg-t-start"></a></dt>
@@ -184,7 +225,10 @@ <h2 id="note">Note<a class="anchor" aria-label="anchor" href="#note"></a></h2>
 <li><p>A named vector whose names match with existing gear names.
 The values in the vector specify the constant fishing effort for those
 fishing gears, i.e. the effort is constant through time. The
-effort for gears that are not included in the effort vector is set to 0.</p></li>
+effort for gears that are not included in the effort vector is set to the
+default effort value, which is 1 in defaults edition 2 and later and 0 in
+earlier defaults editions. Missing (<code>NA</code>) effort entries are replaced in
+the same way.</p></li>
 <li><p>A numerical vector which has the same length as the number of fishing
 gears. The values in the vector specify the
 constant fishing effort of each of the fishing gears, with the ordering
@@ -198,9 +242,22 @@ <h2 id="note">Note<a class="anchor" aria-label="anchor" href="#note"></a></h2>
 </ul><p>If effort is specified as an array then the smallest time in the array is
 used as the initial time for the simulation. Otherwise the initial time is
 set to the final time of the previous simulation if <code>object</code> is a
-<code>MizerSim</code> object or to <code>t_start</code> otherwise. Also, if the effort is
-an array then the <code>t_max</code> and <code>t_save</code> arguments are ignored and the
-simulation times will be taken from the effort array.</p>
+<code>MizerSim</code> object or to <code>t_start</code> otherwise.</p>
+<p>When an effort array is provided, the <code>t_max</code> argument can be used to
+extend the simulation beyond the last time specified in the effort array.
+In this case, the effort values from the last time in the array will be
+used for the extended period. The <code>t_save</code> argument can be used to specify
+the frequency at which simulation results are saved. If <code>t_save</code> is not
+supplied, the results will be saved at the times specified in the effort
+array. If both <code>t_max</code> and <code>t_save</code> are provided with an effort array,
+effort values will be interpolated (using step function) or extrapolated
+(using the last known value) as needed for the new time points. The
+<code>t_start</code> argument continues to be ignored when an effort array is supplied.</p>
+<p>Note that if <code>t_max</code> or <code>t_save</code> are specified, the time grid for the
+simulation is resampled based on <code>t_save</code>. This means that if the time
+points in the <code>effort</code> array are irregular and do not align with the new
+grid, those specific time points may be lost and the effort values at the
+new grid points will be calculated via interpolation.</p>
 <p>If the <code>object</code> argument is of class <code>MizerSim</code> then the initial
 values for the simulation are taken from the final values in the
 <code>MizerSim</code> object and the corresponding arguments to this function will
@@ -210,22 +267,29 @@ <h2 id="note">Note<a class="anchor" aria-label="anchor" href="#note"></a></h2>
     <div class="section level2">
     <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="co"># \donttest{</span></span></span>
-<span class="r-in"><span><span class="va">params</span> <span class="op">&lt;-</span>  <span class="va">NS_params</span></span></span>
+<span class="r-in"><span><span class="va">params</span> <span class="op">&lt;-</span> <span class="va">NS_params</span></span></span>
 <span class="r-in"><span><span class="co"># With constant fishing effort for all gears for 20 time steps</span></span></span>
 <span class="r-in"><span><span class="va">sim</span> <span class="op">&lt;-</span> <span class="fu">project</span><span class="op">(</span><span class="va">params</span>, t_max <span class="op">=</span> <span class="fl">20</span>, effort <span class="op">=</span> <span class="fl">0.5</span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="co"># With constant fishing effort which is different for each gear</span></span></span>
 <span class="r-in"><span><span class="va">effort</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span>Industrial <span class="op">=</span> <span class="fl">0</span>, Pelagic <span class="op">=</span> <span class="fl">1</span>, Beam <span class="op">=</span> <span class="fl">0.5</span>, Otter <span class="op">=</span> <span class="fl">0.5</span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="va">sim</span> <span class="op">&lt;-</span> <span class="fu">project</span><span class="op">(</span><span class="va">params</span>, t_max <span class="op">=</span> <span class="fl">20</span>, effort <span class="op">=</span> <span class="va">effort</span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="co"># With fishing effort that varies through time for each gear</span></span></span>
-<span class="r-in"><span><span class="va">gear_names</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"Industrial"</span>,<span class="st">"Pelagic"</span>,<span class="st">"Beam"</span>,<span class="st">"Otter"</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="va">gear_names</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"Industrial"</span>, <span class="st">"Pelagic"</span>, <span class="st">"Beam"</span>, <span class="st">"Otter"</span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="va">times</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/seq.html" class="external-link">seq</a></span><span class="op">(</span>from <span class="op">=</span> <span class="fl">1</span>, to <span class="op">=</span> <span class="fl">10</span>, by <span class="op">=</span> <span class="fl">1</span><span class="op">)</span></span></span>
-<span class="r-in"><span><span class="va">effort_array</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/array.html" class="external-link">array</a></span><span class="op">(</span><span class="cn">NA</span>, dim <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/length.html" class="external-link">length</a></span><span class="op">(</span><span class="va">times</span><span class="op">)</span>, <span class="fu"><a href="https://rdrr.io/r/base/length.html" class="external-link">length</a></span><span class="op">(</span><span class="va">gear_names</span><span class="op">)</span><span class="op">)</span>,</span></span>
-<span class="r-in"><span>    dimnames <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span>time <span class="op">=</span> <span class="va">times</span>, gear <span class="op">=</span> <span class="va">gear_names</span><span class="op">)</span><span class="op">)</span></span></span>
-<span class="r-in"><span><span class="va">effort_array</span><span class="op">[</span>,<span class="st">"Industrial"</span><span class="op">]</span> <span class="op">&lt;-</span> <span class="fl">0.5</span></span></span>
-<span class="r-in"><span><span class="va">effort_array</span><span class="op">[</span>,<span class="st">"Pelagic"</span><span class="op">]</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/seq.html" class="external-link">seq</a></span><span class="op">(</span>from <span class="op">=</span> <span class="fl">1</span>, to <span class="op">=</span> <span class="fl">2</span>, length <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/length.html" class="external-link">length</a></span><span class="op">(</span><span class="va">times</span><span class="op">)</span><span class="op">)</span></span></span>
-<span class="r-in"><span><span class="va">effort_array</span><span class="op">[</span>,<span class="st">"Beam"</span><span class="op">]</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/seq.html" class="external-link">seq</a></span><span class="op">(</span>from <span class="op">=</span> <span class="fl">1</span>, to <span class="op">=</span> <span class="fl">0</span>, length <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/length.html" class="external-link">length</a></span><span class="op">(</span><span class="va">times</span><span class="op">)</span><span class="op">)</span></span></span>
-<span class="r-in"><span><span class="va">effort_array</span><span class="op">[</span>,<span class="st">"Otter"</span><span class="op">]</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/seq.html" class="external-link">seq</a></span><span class="op">(</span>from <span class="op">=</span> <span class="fl">1</span>, to <span class="op">=</span> <span class="fl">0.5</span>, length <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/length.html" class="external-link">length</a></span><span class="op">(</span><span class="va">times</span><span class="op">)</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="va">effort_array</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/array.html" class="external-link">array</a></span><span class="op">(</span><span class="cn">NA</span>,</span></span>
+<span class="r-in"><span>    dim <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/length.html" class="external-link">length</a></span><span class="op">(</span><span class="va">times</span><span class="op">)</span>, <span class="fu"><a href="https://rdrr.io/r/base/length.html" class="external-link">length</a></span><span class="op">(</span><span class="va">gear_names</span><span class="op">)</span><span class="op">)</span>,</span></span>
+<span class="r-in"><span>    dimnames <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span>time <span class="op">=</span> <span class="va">times</span>, gear <span class="op">=</span> <span class="va">gear_names</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="va">effort_array</span><span class="op">[</span>, <span class="st">"Industrial"</span><span class="op">]</span> <span class="op">&lt;-</span> <span class="fl">0.5</span></span></span>
+<span class="r-in"><span><span class="va">effort_array</span><span class="op">[</span>, <span class="st">"Pelagic"</span><span class="op">]</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/seq.html" class="external-link">seq</a></span><span class="op">(</span>from <span class="op">=</span> <span class="fl">1</span>, to <span class="op">=</span> <span class="fl">2</span>, length <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/length.html" class="external-link">length</a></span><span class="op">(</span><span class="va">times</span><span class="op">)</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="va">effort_array</span><span class="op">[</span>, <span class="st">"Beam"</span><span class="op">]</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/seq.html" class="external-link">seq</a></span><span class="op">(</span>from <span class="op">=</span> <span class="fl">1</span>, to <span class="op">=</span> <span class="fl">0</span>, length <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/length.html" class="external-link">length</a></span><span class="op">(</span><span class="va">times</span><span class="op">)</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="va">effort_array</span><span class="op">[</span>, <span class="st">"Otter"</span><span class="op">]</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/seq.html" class="external-link">seq</a></span><span class="op">(</span>from <span class="op">=</span> <span class="fl">1</span>, to <span class="op">=</span> <span class="fl">0.5</span>, length <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/length.html" class="external-link">length</a></span><span class="op">(</span><span class="va">times</span><span class="op">)</span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="va">sim</span> <span class="op">&lt;-</span> <span class="fu">project</span><span class="op">(</span><span class="va">params</span>, effort <span class="op">=</span> <span class="va">effort_array</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="co"># Extend a simulation beyond the effort array times</span></span></span>
+<span class="r-in"><span><span class="co"># Effort values from the final time are used for the extension</span></span></span>
+<span class="r-in"><span><span class="va">sim</span> <span class="op">&lt;-</span> <span class="fu">project</span><span class="op">(</span><span class="va">params</span>, effort <span class="op">=</span> <span class="va">effort_array</span>, t_max <span class="op">=</span> <span class="fl">15</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="co"># Control save times with an effort array using t_save</span></span></span>
+<span class="r-in"><span><span class="va">sim</span> <span class="op">&lt;-</span> <span class="fu">project</span><span class="op">(</span><span class="va">params</span>, effort <span class="op">=</span> <span class="va">effort_array</span>, t_save <span class="op">=</span> <span class="fl">2</span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="co"># }</span></span></span>
 </code></pre></div>
     </div>
diff --git a/docs/reference/projectDiffusion.MizerParams.html b/docs/reference/projectDiffusion.MizerParams.html
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+<html>
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diff --git a/docs/reference/projectDiffusion.html b/docs/reference/projectDiffusion.html
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+
diff --git a/docs/reference/projectEGrowth.MizerParams.html b/docs/reference/projectEGrowth.MizerParams.html
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diff --git a/docs/reference/projectEGrowth.html b/docs/reference/projectEGrowth.html
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diff --git a/docs/reference/projectERepro.MizerParams.html b/docs/reference/projectERepro.MizerParams.html
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diff --git a/docs/reference/projectERepro.html b/docs/reference/projectERepro.html
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diff --git a/docs/reference/projectEReproAndGrowth.MizerParams.html b/docs/reference/projectEReproAndGrowth.MizerParams.html
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diff --git a/docs/reference/projectEReproAndGrowth.html b/docs/reference/projectEReproAndGrowth.html
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diff --git a/docs/reference/projectEncounter.MizerParams.html b/docs/reference/projectEncounter.MizerParams.html
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diff --git a/docs/reference/projectEncounter.html b/docs/reference/projectEncounter.html
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diff --git a/docs/reference/projectFMort.MizerParams.html b/docs/reference/projectFMort.MizerParams.html
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diff --git a/docs/reference/projectFMort.html b/docs/reference/projectFMort.html
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diff --git a/docs/reference/projectFeedingLevel.MizerParams.html b/docs/reference/projectFeedingLevel.MizerParams.html
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diff --git a/docs/reference/projectMort.MizerParams.html b/docs/reference/projectMort.MizerParams.html
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diff --git a/docs/reference/projectPredMort.MizerParams.html b/docs/reference/projectPredMort.MizerParams.html
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diff --git a/docs/reference/projectRDD.MizerParams.html b/docs/reference/projectRDD.MizerParams.html
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+density-dependent reproduction rate. The base method calls the selected
+density-dependence function in params@rates_funcs$RDD."><meta property="og:description" content="S3 generic used by extension-aware projections to calculate the
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+      <img src="../logo.png" class="logo" alt=""><h1>Get density-dependent reproduction rate during projection</h1>
+      <small class="dont-index">Source: <a href="https://github.com/sizespectrum/mizer/blob/HEAD/R/reproduction.R" class="external-link"><code>R/reproduction.R</code></a></small>
+      <div class="d-none name"><code>projectRDD.Rd</code></div>
+    </div>
+
+    <div class="ref-description section level2">
+    <p>S3 generic used by extension-aware projections to calculate the
+density-dependent reproduction rate. The base method calls the selected
+density-dependence function in <code>params@rates_funcs$RDD</code>.</p>
+    </div>
+
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">projectRDD</span><span class="op">(</span><span class="va">params</span>, <span class="va">rdi</span>, species_params <span class="op">=</span> <span class="va">params</span><span class="op">@</span><span class="va">species_params</span>, t <span class="op">=</span> <span class="fl">0</span>, <span class="va">...</span><span class="op">)</span></span>
+<span></span>
+<span><span class="co"># S3 method for class 'MizerParams'</span></span>
+<span><span class="fu">projectRDD</span><span class="op">(</span><span class="va">params</span>, <span class="va">rdi</span>, species_params <span class="op">=</span> <span class="va">params</span><span class="op">@</span><span class="va">species_params</span>, t <span class="op">=</span> <span class="fl">0</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
+    </div>
+
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-params">params<a class="anchor" aria-label="anchor" href="#arg-params"></a></dt>
+<dd><p>A MizerParams object.</p></dd>
+
+
+<dt id="arg-rdi">rdi<a class="anchor" aria-label="anchor" href="#arg-rdi"></a></dt>
+<dd><p>Vector of density-independent reproduction rates
+\(R_{di}\) for all species.</p></dd>
+
+
+<dt id="arg-species-params">species_params<a class="anchor" aria-label="anchor" href="#arg-species-params"></a></dt>
+<dd><p>A species parameter dataframe. Must contain a column
+<code>R_max</code> holding the maximum reproduction rate \(R_{max}\) for each
+species.</p></dd>
+
+
+<dt id="arg-t">t<a class="anchor" aria-label="anchor" href="#arg-t"></a></dt>
+<dd><p>The time for which to do the calculation.</p></dd>
+
+
+<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
+<dd><p>Unused</p></dd>
+
+</dl></div>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p>Vector of density-dependent reproduction rates.</p>
+    </div>
+    <div class="section level2">
+    <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
+    <div class="dont-index"><p>Other functions calculating density-dependent reproduction rate:
+<code><a href="BevertonHoltRDD.html">BevertonHoltRDD()</a></code>,
+<code><a href="RickerRDD.html">RickerRDD()</a></code>,
+<code><a href="SheperdRDD.html">SheperdRDD()</a></code>,
+<code><a href="constantEggRDI.html">constantEggRDI()</a></code>,
+<code><a href="constantRDD.html">constantRDD()</a></code>,
+<code><a href="noRDD.html">noRDD()</a></code></p></div>
+    </div>
+
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside></div>
+
+
+    <footer><div class="pkgdown-footer-left">
+  <p>Developed by <a href="https://www.york.ac.uk/maths/staff/gustav-delius/" class="external-link">Gustav Delius</a>, Finlay Scott, <a href="http://www.utas.edu.au/profiles/staff/imas/julia-blanchard" class="external-link">Julia Blanchard</a>, <a href="https://ken.haste.dk/" class="external-link">Ken Andersen</a>.</p>
+</div>
+
+<div class="pkgdown-footer-right">
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
+</div>
+
+    </footer></div>
+
+
+
+
+
+  </body></html>
+
diff --git a/docs/reference/projectRDI.MizerParams.html b/docs/reference/projectRDI.MizerParams.html
new file mode 100644
index 000000000..20172273c
--- /dev/null
+++ b/docs/reference/projectRDI.MizerParams.html
@@ -0,0 +1,8 @@
+<html>
+  <head>
+    <meta http-equiv="refresh" content="0;URL=https://sizespectrum.org/mizer/reference/mizerRDI.html" />
+    <meta name="robots" content="noindex">
+    <link rel="canonical" href="https://sizespectrum.org/mizer/reference/mizerRDI.html">
+  </head>
+</html>
+
diff --git a/docs/reference/projectRDI.html b/docs/reference/projectRDI.html
new file mode 100644
index 000000000..20172273c
--- /dev/null
+++ b/docs/reference/projectRDI.html
@@ -0,0 +1,8 @@
+<html>
+  <head>
+    <meta http-equiv="refresh" content="0;URL=https://sizespectrum.org/mizer/reference/mizerRDI.html" />
+    <meta name="robots" content="noindex">
+    <link rel="canonical" href="https://sizespectrum.org/mizer/reference/mizerRDI.html">
+  </head>
+</html>
+
diff --git a/docs/reference/projectRates.html b/docs/reference/projectRates.html
new file mode 100644
index 000000000..682614de9
--- /dev/null
+++ b/docs/reference/projectRates.html
@@ -0,0 +1,8 @@
+<html>
+  <head>
+    <meta http-equiv="refresh" content="0;URL=https://sizespectrum.org/mizer/reference/mizerRates.html" />
+    <meta name="robots" content="noindex">
+    <link rel="canonical" href="https://sizespectrum.org/mizer/reference/mizerRates.html">
+  </head>
+</html>
+
diff --git a/docs/reference/projectResourceMort.MizerParams.html b/docs/reference/projectResourceMort.MizerParams.html
new file mode 100644
index 000000000..a9e419f11
--- /dev/null
+++ b/docs/reference/projectResourceMort.MizerParams.html
@@ -0,0 +1,8 @@
+<html>
+  <head>
+    <meta http-equiv="refresh" content="0;URL=https://sizespectrum.org/mizer/reference/mizerResourceMort.html" />
+    <meta name="robots" content="noindex">
+    <link rel="canonical" href="https://sizespectrum.org/mizer/reference/mizerResourceMort.html">
+  </head>
+</html>
+
diff --git a/docs/reference/projectResourceMort.html b/docs/reference/projectResourceMort.html
new file mode 100644
index 000000000..a9e419f11
--- /dev/null
+++ b/docs/reference/projectResourceMort.html
@@ -0,0 +1,8 @@
+<html>
+  <head>
+    <meta http-equiv="refresh" content="0;URL=https://sizespectrum.org/mizer/reference/mizerResourceMort.html" />
+    <meta name="robots" content="noindex">
+    <link rel="canonical" href="https://sizespectrum.org/mizer/reference/mizerResourceMort.html">
+  </head>
+</html>
+
diff --git a/docs/reference/projectToSteady.html b/docs/reference/projectToSteady.html
index c85324a08..a92096d59 100644
--- a/docs/reference/projectToSteady.html
+++ b/docs/reference/projectToSteady.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Project to steady state — projectToSteady"><meta name="description" content="
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Project to steady state — projectToSteady"><meta name="description" content="
 Run the full dynamics, as in project(), but stop once the change has slowed
 down sufficiently, in the sense that the distance between states at
 successive time steps is less than tol. You determine how the distance is
@@ -21,7 +21,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -42,13 +42,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -58,7 +66,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -101,6 +110,7 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 <span>  tol <span class="op">=</span> <span class="fl">0.1</span> <span class="op">*</span> <span class="va">t_per</span>,</span>
 <span>  return_sim <span class="op">=</span> <span class="cn">FALSE</span>,</span>
 <span>  progress_bar <span class="op">=</span> <span class="cn">TRUE</span>,</span>
+<span>  info_level <span class="op">=</span> <span class="fl">3</span>,</span>
 <span>  <span class="va">...</span></span>
 <span><span class="op">)</span></span></code></pre></div>
     </div>
@@ -115,7 +125,9 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 
 <dt id="arg-effort">effort<a class="anchor" aria-label="anchor" href="#arg-effort"></a></dt>
 <dd><p>The fishing effort to be used throughout the simulation.
-This must be a vector or list with one named entry per fishing gear.</p></dd>
+This is validated by <code><a href="initial_effort.html">validEffortVector()</a></code> and can therefore be <code>NULL</code>, a
+single numeric value used for all gears, an unnamed numeric vector with one
+entry per gear, or a named numeric vector for some or all gears.</p></dd>
 
 
 <dt id="arg-distance-func">distance_func<a class="anchor" aria-label="anchor" href="#arg-distance-func"></a></dt>
@@ -157,13 +169,21 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 shiny app. Default FALSE.</p></dd>
 
 
+<dt id="arg-info-level">info_level<a class="anchor" aria-label="anchor" href="#arg-info-level"></a></dt>
+<dd><p>Controls the amount of information messages that are shown.
+Higher levels lead to more messages.</p></dd>
+
+
 <dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
 <dd><p>Further arguments will be passed on to your distance function.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    <p>A MizerParams or a MizerSim object</p>
+    <p>If <code>return_sim = FALSE</code>, a <code>MizerParams</code> object with the initial
+state replaced by the final state found by the steady-state search. If
+<code>return_sim = TRUE</code>, a <code>MizerSim</code> object containing the intermediate states
+saved every <code>t_per</code> years.</p>
     </div>
     <div class="section level2">
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
diff --git a/docs/reference/project_n.html b/docs/reference/project_n.html
new file mode 100644
index 000000000..47cacb39c
--- /dev/null
+++ b/docs/reference/project_n.html
@@ -0,0 +1,198 @@
+<!DOCTYPE html>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en-GB"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Project values for first time step of Euler method — project_n • mizer</title><!-- favicons --><link rel="icon" type="image/png" sizes="96x96" href="../favicon-96x96.png"><link rel="icon" type="”image/svg+xml”" href="../favicon.svg"><link rel="apple-touch-icon" sizes="180x180" href="../apple-touch-icon.png"><link rel="icon" sizes="any" href="../favicon.ico"><link rel="manifest" href="../site.webmanifest"><!-- mathjax math --><script src="https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/tex-mml-chtml.js" integrity="sha256-MASABpB4tYktI2Oitl4t+78w/lyA+D7b/s9GEP0JOGI=" crossorigin="anonymous"></script><script>
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+      fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
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+It is of potential interest only to mizer extension authors."><meta property="og:description" content="This is an internal function used by the user-facing project() function.
+It is of potential interest only to mizer extension authors."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
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+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
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+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/sizespectrum/mizer/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
+<li class="nav-item dropdown">
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-lightswitch" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true" aria-label="Light switch"><span class="fa fa-sun"></span></button>
+  <ul class="dropdown-menu dropdown-menu-end" aria-labelledby="dropdown-lightswitch"><li><button class="dropdown-item" data-bs-theme-value="light"><span class="fa fa-sun"></span> Light</button></li>
+    <li><button class="dropdown-item" data-bs-theme-value="dark"><span class="fa fa-moon"></span> Dark</button></li>
+    <li><button class="dropdown-item" data-bs-theme-value="auto"><span class="fa fa-adjust"></span> Auto</button></li>
+  </ul></li>
+      </ul></div>
+
+
+  </div>
+</nav><div class="container template-reference-topic">
+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Project values for first time step of Euler method</h1>
+      <small class="dont-index">Source: <a href="https://github.com/sizespectrum/mizer/blob/HEAD/R/project_n.R" class="external-link"><code>R/project_n.R</code></a></small>
+      <div class="d-none name"><code>project_n.Rd</code></div>
+    </div>
+
+    <div class="ref-description section level2">
+    <p>This is an internal function used by the user-facing <code><a href="project.html">project()</a></code> function.
+It is of potential interest only to mizer extension authors.</p>
+    </div>
+
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">project_n</span><span class="op">(</span><span class="va">params</span>, <span class="va">r</span>, <span class="va">n</span>, <span class="va">dt</span>, <span class="va">a</span>, <span class="va">b</span>, <span class="va">c</span>, <span class="va">S</span>, <span class="va">idx</span>, <span class="va">w_min_idx_array_ref</span>, <span class="va">no_sp</span>, <span class="va">no_w</span><span class="op">)</span></span>
+<span></span>
+<span><span class="fu">project_n_no_diffusion</span><span class="op">(</span></span>
+<span>  <span class="va">params</span>,</span>
+<span>  <span class="va">r</span>,</span>
+<span>  <span class="va">n</span>,</span>
+<span>  <span class="va">dt</span>,</span>
+<span>  <span class="va">a</span>,</span>
+<span>  <span class="va">b</span>,</span>
+<span>  <span class="va">S</span>,</span>
+<span>  <span class="va">idx</span>,</span>
+<span>  <span class="va">w_min_idx_array_ref</span>,</span>
+<span>  <span class="va">no_sp</span>,</span>
+<span>  <span class="va">no_w</span></span>
+<span><span class="op">)</span></span></code></pre></div>
+    </div>
+
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-params">params<a class="anchor" aria-label="anchor" href="#arg-params"></a></dt>
+<dd><p>A <a href="MizerParams-class.html">MizerParams</a> object.</p></dd>
+
+
+<dt id="arg-r">r<a class="anchor" aria-label="anchor" href="#arg-r"></a></dt>
+<dd><p>A list of rates as returned by <code><a href="mizerRates.html">mizerRates()</a></code>.</p></dd>
+
+
+<dt id="arg-n">n<a class="anchor" aria-label="anchor" href="#arg-n"></a></dt>
+<dd><p>An array (species x size) with the number density at the current time step.</p></dd>
+
+
+<dt id="arg-dt">dt<a class="anchor" aria-label="anchor" href="#arg-dt"></a></dt>
+<dd><p>Time step.</p></dd>
+
+
+<dt id="arg-a">a<a class="anchor" aria-label="anchor" href="#arg-a"></a></dt>
+<dd><p>A matrix (species x size) used in the solver (transport term).</p></dd>
+
+
+<dt id="arg-b">b<a class="anchor" aria-label="anchor" href="#arg-b"></a></dt>
+<dd><p>A matrix (species x size) used in the solver (diagonal term).</p></dd>
+
+
+<dt id="arg-c">c<a class="anchor" aria-label="anchor" href="#arg-c"></a></dt>
+<dd><p>A matrix (species x size) used in the solver (transport term).</p></dd>
+
+
+<dt id="arg-s">S<a class="anchor" aria-label="anchor" href="#arg-s"></a></dt>
+<dd><p>A matrix (species x size) used in the solver (source term).</p></dd>
+
+
+<dt id="arg-idx">idx<a class="anchor" aria-label="anchor" href="#arg-idx"></a></dt>
+<dd><p>Index vector for size bins (excluding the first one).</p></dd>
+
+
+<dt id="arg-w-min-idx-array-ref">w_min_idx_array_ref<a class="anchor" aria-label="anchor" href="#arg-w-min-idx-array-ref"></a></dt>
+<dd><p>Index vector for the start of the size spectrum for each species.</p></dd>
+
+
+<dt id="arg-no-sp">no_sp<a class="anchor" aria-label="anchor" href="#arg-no-sp"></a></dt>
+<dd><p>Number of species.</p></dd>
+
+
+<dt id="arg-no-w">no_w<a class="anchor" aria-label="anchor" href="#arg-no-w"></a></dt>
+<dd><p>Number of size bins.</p></dd>
+
+</dl></div>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p>The updated abundance density matrix <code>n</code>.</p>
+    </div>
+    <div class="section level2">
+    <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
+    <p>The function calculates the abundance at the next time step using the
+McKendrick-von Foerster equation:
+$$\frac{\partial N}{\partial t} + \frac{\partial}{\partial w} \left( g N - \frac{1}{2}\frac{\partial(D N)}{\partial w} \right) = -\mu N$$
+which is solved using a semi-implicit upwind finite volume scheme.</p>
+    </div>
+    <div class="section level2">
+    <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
+    <div class="dont-index"><p><code><a href="project.html">project</a></code>, <code><a href="mizerRates.html">mizerRates</a></code></p></div>
+    </div>
+
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside></div>
+
+
+    <footer><div class="pkgdown-footer-left">
+  <p>Developed by <a href="https://www.york.ac.uk/maths/staff/gustav-delius/" class="external-link">Gustav Delius</a>, Finlay Scott, <a href="http://www.utas.edu.au/profiles/staff/imas/julia-blanchard" class="external-link">Julia Blanchard</a>, <a href="https://ken.haste.dk/" class="external-link">Ken Andersen</a>.</p>
+</div>
+
+<div class="pkgdown-footer-right">
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
+</div>
+
+    </footer></div>
+
+
+
+
+
+  </body></html>
+
diff --git a/docs/reference/project_n_no_diffusion.html b/docs/reference/project_n_no_diffusion.html
new file mode 100644
index 000000000..06273570a
--- /dev/null
+++ b/docs/reference/project_n_no_diffusion.html
@@ -0,0 +1,8 @@
+<html>
+  <head>
+    <meta http-equiv="refresh" content="0;URL=https://sizespectrum.org/mizer/reference/project_n.html" />
+    <meta name="robots" content="noindex">
+    <link rel="canonical" href="https://sizespectrum.org/mizer/reference/project_n.html">
+  </head>
+</html>
+
diff --git a/docs/reference/project_simple.html b/docs/reference/project_simple.html
index fbf137dd5..5f7227bbe 100644
--- a/docs/reference/project_simple.html
+++ b/docs/reference/project_simple.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Project abundances by a given number of time steps into the future — project_simple"><meta name="description" content="This is an internal function used by the user-facing project() function.
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Project abundances by a given number of time steps into the future — project_simple"><meta name="description" content="This is an internal function used by the user-facing project() function.
 It is of potential interest only to mizer extension authors."><meta property="og:description" content="This is an internal function used by the user-facing project() function.
 It is of potential interest only to mizer extension authors."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
@@ -15,7 +15,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -36,13 +36,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -52,7 +60,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -84,16 +93,16 @@
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">project_simple</span><span class="op">(</span></span>
 <span>  <span class="va">params</span>,</span>
-<span>  n <span class="op">=</span> <span class="va">params</span><span class="op">@</span><span class="va">initial_n</span>,</span>
-<span>  n_pp <span class="op">=</span> <span class="va">params</span><span class="op">@</span><span class="va">initial_n_pp</span>,</span>
-<span>  n_other <span class="op">=</span> <span class="va">params</span><span class="op">@</span><span class="va">initial_n_other</span>,</span>
-<span>  effort <span class="op">=</span> <span class="va">params</span><span class="op">@</span><span class="va">initial_effort</span>,</span>
-<span>  t <span class="op">=</span> <span class="fl">0</span>,</span>
-<span>  dt <span class="op">=</span> <span class="fl">0.1</span>,</span>
+<span>  <span class="va">n</span>,</span>
+<span>  <span class="va">n_pp</span>,</span>
+<span>  <span class="va">n_other</span>,</span>
+<span>  <span class="va">effort</span>,</span>
+<span>  <span class="va">t</span>,</span>
+<span>  <span class="va">dt</span>,</span>
 <span>  <span class="va">steps</span>,</span>
-<span>  resource_dynamics_fn <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/get.html" class="external-link">get</a></span><span class="op">(</span><span class="va">params</span><span class="op">@</span><span class="va">resource_dynamics</span><span class="op">)</span>,</span>
-<span>  other_dynamics_fns <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/lapply.html" class="external-link">lapply</a></span><span class="op">(</span><span class="va">params</span><span class="op">@</span><span class="va">other_dynamics</span>, <span class="va">get</span><span class="op">)</span>,</span>
-<span>  rates_fns <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/lapply.html" class="external-link">lapply</a></span><span class="op">(</span><span class="va">params</span><span class="op">@</span><span class="va">rates_funcs</span>, <span class="va">get</span><span class="op">)</span>,</span>
+<span>  <span class="va">resource_dynamics_fn</span>,</span>
+<span>  <span class="va">other_dynamics_fns</span>,</span>
+<span>  <span class="va">rates_fns</span>,</span>
 <span>  <span class="va">...</span></span>
 <span><span class="op">)</span></span></code></pre></div>
     </div>
@@ -159,7 +168,8 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    <p>List with the final values of <code>n</code>, <code>n_pp</code> and <code>n_other</code>, <code>rates</code>.</p>
+    <p>List with the final values of <code>n</code>, <code>n_pp</code>, and <code>n_other</code>, together
+with <code>rates</code>, the rates calculated at the start of the final update step.</p>
     </div>
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
@@ -181,8 +191,8 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
 still changing significantly, so that it can stop when a steady state has
 been approached. Mizer extension packages might have a similar need to run
 a simulation repeatedly for short periods to run some other code in
-between. Because this code may want to use the values of the rates at the
-final time step, these too are included in the returned list.</p>
+between. Because this code may want to use the values of the rates from the
+final update step, these too are included in the returned list.</p>
     </div>
 
   </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
diff --git a/docs/reference/readSim.html b/docs/reference/readSim.html
new file mode 100644
index 000000000..2bb41a46b
--- /dev/null
+++ b/docs/reference/readSim.html
@@ -0,0 +1,8 @@
+<html>
+  <head>
+    <meta http-equiv="refresh" content="0;URL=https://sizespectrum.org/mizer/reference/saveParams.html" />
+    <meta name="robots" content="noindex">
+    <link rel="canonical" href="https://sizespectrum.org/mizer/reference/saveParams.html">
+  </head>
+</html>
+
diff --git a/docs/reference/reexports.html b/docs/reference/reexports.html
index 82727ffcd..930515e87 100644
--- a/docs/reference/reexports.html
+++ b/docs/reference/reexports.html
@@ -5,18 +5,26 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Objects exported from other packages — reexports"><meta name="description" content="These objects are imported from other packages. Follow the links
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Objects exported from other packages — reexports"><meta name="description" content="These objects are imported from other packages. Follow the links
 below to see their documentation.
 
+  plotly
+ggplotly()
+
+
   reshape2
-melt
+melt()
 
 
 "><meta property="og:description" content="These objects are imported from other packages. Follow the links
 below to see their documentation.
 
+  plotly
+ggplotly()
+
+
   reshape2
-melt
+melt()
 
 
 "><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
@@ -27,7 +35,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -48,13 +56,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -64,7 +80,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -90,8 +107,12 @@
     <div class="ref-description section level2">
     <p>These objects are imported from other packages. Follow the links
 below to see their documentation.</p>
-<dl><dt>reshape2</dt>
-<dd><p><code><a href="https://rdrr.io/pkg/reshape2/man/melt.html" class="external-link">melt</a></code></p></dd>
+<dl><dt>plotly</dt>
+<dd><p><code><a href="https://rdrr.io/pkg/plotly/man/ggplotly.html" class="external-link">ggplotly()</a></code></p></dd>
+
+
+  <dt>reshape2</dt>
+<dd><p><code><a href="https://rdrr.io/pkg/reshape2/man/melt.html" class="external-link">melt()</a></code></p></dd>
 
 
 </dl></div>
diff --git a/docs/reference/registerExtension.html b/docs/reference/registerExtension.html
new file mode 100644
index 000000000..6d10a7a0e
--- /dev/null
+++ b/docs/reference/registerExtension.html
@@ -0,0 +1,168 @@
+<!DOCTYPE html>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en-GB"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Register a single mizer extension for this R session — registerExtension • mizer</title><!-- favicons --><link rel="icon" type="image/png" sizes="96x96" href="../favicon-96x96.png"><link rel="icon" type="”image/svg+xml”" href="../favicon.svg"><link rel="apple-touch-icon" sizes="180x180" href="../apple-touch-icon.png"><link rel="icon" sizes="any" href="../favicon.ico"><link rel="manifest" href="../site.webmanifest"><!-- mathjax math --><script src="https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/tex-mml-chtml.js" integrity="sha256-MASABpB4tYktI2Oitl4t+78w/lyA+D7b/s9GEP0JOGI=" crossorigin="anonymous"></script><script>
+  window.MathJax = {
+    chtml: {
+      fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
+    }
+  };
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Register a single mizer extension for this R session — registerExtension"><meta name="description" content="Prepends one extension to the front of the active extension chain, giving it
+the highest dispatch priority. Designed to be called from a package's
+.onLoad hook so that the chain grows naturally in load order: the last
+package loaded ends up outermost."><meta property="og:description" content="Prepends one extension to the front of the active extension chain, giving it
+the highest dispatch priority. Designed to be called from a package's
+.onLoad hook so that the chain grows naturally in load order: the last
+package loaded ends up outermost."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
+    <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
+
+
+    <nav class="navbar navbar-expand-lg fixed-top " aria-label="Site navigation"><div class="container">
+
+    <a class="navbar-brand me-2" href="../index.html">mizer</a>
+
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
+
+
+    <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
+      <span class="navbar-toggler-icon"></span>
+    </button>
+
+    <div id="navbar" class="collapse navbar-collapse ms-3">
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/mizer.html">Get started</a></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://mizer.course.sizespectrum.org">Course</a></li>
+<li class="nav-item dropdown">
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/model_description.html">The General Mizer Size-spectrum Model</a></li>
+    <li><hr class="dropdown-divider"></li>
+    <li><h6 class="dropdown-header" data-toc-skip>Tutorials</h6></li>
+    <li><a class="dropdown-item" href="../articles/single_species_size-spectrum_dynamics.html">Single-species size-spectrum dynamics</a></li>
+    <li><a class="dropdown-item" href="../articles/community_model.html">The Community Model</a></li>
+    <li><a class="dropdown-item" href="../articles/trait_model.html">The Trait-Based Model</a></li>
+    <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
+    <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
+    <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
+    <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
+    <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
+    <li><hr class="dropdown-divider"></li>
+    <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
+    <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
+    <li><hr class="dropdown-divider"></li>
+    <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
+    <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
+    <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
+    <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
+    <li><a class="dropdown-item" href="../articles/editing_website.html">Editing the Mizer Website</a></li>
+    <li><hr class="dropdown-divider"></li>
+    <li><a class="dropdown-item" href="../articles/index.html">More articles...</a></li>
+  </ul></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/sizespectrum/mizer/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
+<li class="nav-item dropdown">
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-lightswitch" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true" aria-label="Light switch"><span class="fa fa-sun"></span></button>
+  <ul class="dropdown-menu dropdown-menu-end" aria-labelledby="dropdown-lightswitch"><li><button class="dropdown-item" data-bs-theme-value="light"><span class="fa fa-sun"></span> Light</button></li>
+    <li><button class="dropdown-item" data-bs-theme-value="dark"><span class="fa fa-moon"></span> Dark</button></li>
+    <li><button class="dropdown-item" data-bs-theme-value="auto"><span class="fa fa-adjust"></span> Auto</button></li>
+  </ul></li>
+      </ul></div>
+
+
+  </div>
+</nav><div class="container template-reference-topic">
+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Register a single mizer extension for this R session</h1>
+      <small class="dont-index">Source: <a href="https://github.com/sizespectrum/mizer/blob/HEAD/R/registerExtensions.R" class="external-link"><code>R/registerExtensions.R</code></a></small>
+      <div class="d-none name"><code>registerExtension.Rd</code></div>
+    </div>
+
+    <div class="ref-description section level2">
+    <p>Prepends one extension to the front of the active extension chain, giving it
+the highest dispatch priority. Designed to be called from a package's
+<code>.onLoad</code> hook so that the chain grows naturally in load order: the last
+package loaded ends up outermost.</p>
+    </div>
+
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">registerExtension</span><span class="op">(</span><span class="va">name</span>, requirement <span class="op">=</span> <span class="cn">NA_character_</span>, install <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span></span></code></pre></div>
+    </div>
+
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-name">name<a class="anchor" aria-label="anchor" href="#arg-name"></a></dt>
+<dd><p>A syntactically valid R name identifying the extension (e.g.
+<code>"mizerExtA"</code>). This name is used as the S4 marker class name.</p></dd>
+
+
+<dt id="arg-requirement">requirement<a class="anchor" aria-label="anchor" href="#arg-requirement"></a></dt>
+<dd><p>A version string, installation specification, or
+<code>NA_character_</code> (the default). <code>NA_character_</code> marks an in-development
+extension whose S4 marker class mizer creates automatically. A version
+string such as <code>"1.2.0"</code> records the minimum required package version.</p></dd>
+
+
+<dt id="arg-install">install<a class="anchor" aria-label="anchor" href="#arg-install"></a></dt>
+<dd><p>Logical. If <code>TRUE</code>, attempt to install a missing extension
+package.</p></dd>
+
+</dl></div>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p>The updated extension chain, invisibly.</p>
+    </div>
+    <div class="section level2">
+    <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
+    <p>The call is idempotent: if the extension is already registered at any
+position in the chain, the function returns silently without modifying the
+chain. This makes it safe to call from <code><a href="https://devtools.r-lib.org/reference/load_all.html" class="external-link">devtools::load_all()</a></code>, which
+re-executes <code>.onLoad</code>.</p>
+    </div>
+    <div class="section level2">
+    <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
+    <div class="dont-index"><p><code><a href="registerExtensions.html">registerExtensions()</a></code> for registering an explicit full chain.</p>
+<p>Other extension tools:
+<code><a href="NOther.html">NOther()</a></code>,
+<code><a href="clearExtensionChain.html">clearExtensionChain()</a></code>,
+<code><a href="coerceToExtensionClass.html">coerceToExtensionClass()</a></code>,
+<code><a href="getRegisteredExtensions.html">getRegisteredExtensions()</a></code>,
+<code><a href="initialNOther-set.html">initialNOther&lt;-()</a></code>,
+<code><a href="registerExtensions.html">registerExtensions()</a></code>,
+<code><a href="setComponent.html">setComponent()</a></code>,
+<code><a href="setRateFunction.html">setRateFunction()</a></code></p></div>
+    </div>
+
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside></div>
+
+
+    <footer><div class="pkgdown-footer-left">
+  <p>Developed by <a href="https://www.york.ac.uk/maths/staff/gustav-delius/" class="external-link">Gustav Delius</a>, Finlay Scott, <a href="http://www.utas.edu.au/profiles/staff/imas/julia-blanchard" class="external-link">Julia Blanchard</a>, <a href="https://ken.haste.dk/" class="external-link">Ken Andersen</a>.</p>
+</div>
+
+<div class="pkgdown-footer-right">
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
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+
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+
+
+
+
+
+  </body></html>
+
diff --git a/docs/reference/registerExtensions.html b/docs/reference/registerExtensions.html
new file mode 100644
index 000000000..45832d944
--- /dev/null
+++ b/docs/reference/registerExtensions.html
@@ -0,0 +1,173 @@
+<!DOCTYPE html>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en-GB"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Register mizer extensions for this R session — registerExtensions • mizer</title><!-- favicons --><link rel="icon" type="image/png" sizes="96x96" href="../favicon-96x96.png"><link rel="icon" type="”image/svg+xml”" href="../favicon.svg"><link rel="apple-touch-icon" sizes="180x180" href="../apple-touch-icon.png"><link rel="icon" sizes="any" href="../favicon.ico"><link rel="manifest" href="../site.webmanifest"><!-- mathjax math --><script src="https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/tex-mml-chtml.js" integrity="sha256-MASABpB4tYktI2Oitl4t+78w/lyA+D7b/s9GEP0JOGI=" crossorigin="anonymous"></script><script>
+  window.MathJax = {
+    chtml: {
+      fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
+    }
+  };
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Register mizer extensions for this R session — registerExtensions"><meta name="description" content='Registers an explicit full extension chain for the current R session. The
+order of extensions is the S3 dispatch order, from outermost to innermost
+extension. For example c(mizerExtB = "1.2.0", mizerExtA = "0.4.1")
+dispatches to mizerExtB methods first, then mizerExtA methods, then base
+mizer methods.'><meta property="og:description" content='Registers an explicit full extension chain for the current R session. The
+order of extensions is the S3 dispatch order, from outermost to innermost
+extension. For example c(mizerExtB = "1.2.0", mizerExtA = "0.4.1")
+dispatches to mizerExtB methods first, then mizerExtA methods, then base
+mizer methods.'><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
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+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Register mizer extensions for this R session</h1>
+      <small class="dont-index">Source: <a href="https://github.com/sizespectrum/mizer/blob/HEAD/R/registerExtensions.R" class="external-link"><code>R/registerExtensions.R</code></a></small>
+      <div class="d-none name"><code>registerExtensions.Rd</code></div>
+    </div>
+
+    <div class="ref-description section level2">
+    <p>Registers an explicit full extension chain for the current R session. The
+order of <code>extensions</code> is the S3 dispatch order, from outermost to innermost
+extension. For example <code>c(mizerExtB = "1.2.0", mizerExtA = "0.4.1")</code>
+dispatches to <code>mizerExtB</code> methods first, then <code>mizerExtA</code> methods, then base
+mizer methods.</p>
+    </div>
+
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">registerExtensions</span><span class="op">(</span><span class="va">extensions</span>, install <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span></span></code></pre></div>
+    </div>
+
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-extensions">extensions<a class="anchor" aria-label="anchor" href="#arg-extensions"></a></dt>
+<dd><p>A named character vector. Names are extension identifiers.
+Values are version strings, installation specifications, or
+<code>NA_character_</code>. Installed extensions only participate in S3 dispatch if
+they provide an S4 marker class with the same name. <code>NA_character_</code> entries
+are treated as in-development dispatch extensions and mizer creates their
+marker classes automatically.</p></dd>
+
+
+<dt id="arg-install">install<a class="anchor" aria-label="anchor" href="#arg-install"></a></dt>
+<dd><p>Logical. If <code>TRUE</code>, missing or outdated extension packages are
+installed via <code><a href="https://pak.r-lib.org/reference/pkg_install.html" class="external-link">pak::pkg_install()</a></code>. Version strings install from CRAN;
+other requirement strings (e.g. <code>"user/repo@v1.2.0"</code>) are passed directly
+to pak and may refer to GitHub, local paths, or any other pak-supported
+source.</p></dd>
+
+</dl></div>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p>The active maximal extension chain, invisibly.</p>
+    </div>
+    <div class="section level2">
+    <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
+    <p>A session can handle objects whose extension chain is a suffix of the
+registered maximal chain. For example, after registering
+<code>c(mizerExtB = "1.2.0", mizerExtA = "0.4.1")</code>, objects using only
+<code>c(mizerExtA = "0.4.1")</code> are also valid.</p>
+<p>For extension packages that register themselves incrementally from <code>.onLoad</code>,
+use <code><a href="registerExtension.html">registerExtension()</a></code> instead.</p>
+    </div>
+    <div class="section level2">
+    <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
+    <div class="dont-index"><p><code><a href="registerExtension.html">registerExtension()</a></code> for the incremental per-package variant.</p>
+<p>Other extension tools:
+<code><a href="NOther.html">NOther()</a></code>,
+<code><a href="clearExtensionChain.html">clearExtensionChain()</a></code>,
+<code><a href="coerceToExtensionClass.html">coerceToExtensionClass()</a></code>,
+<code><a href="getRegisteredExtensions.html">getRegisteredExtensions()</a></code>,
+<code><a href="initialNOther-set.html">initialNOther&lt;-()</a></code>,
+<code><a href="registerExtension.html">registerExtension()</a></code>,
+<code><a href="setComponent.html">setComponent()</a></code>,
+<code><a href="setRateFunction.html">setRateFunction()</a></code></p></div>
+    </div>
+
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+  <p>Developed by <a href="https://www.york.ac.uk/maths/staff/gustav-delius/" class="external-link">Gustav Delius</a>, Finlay Scott, <a href="http://www.utas.edu.au/profiles/staff/imas/julia-blanchard" class="external-link">Julia Blanchard</a>, <a href="https://ken.haste.dk/" class="external-link">Ken Andersen</a>.</p>
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diff --git a/docs/reference/removeBackgroundSpecies.html b/docs/reference/removeBackgroundSpecies.html
new file mode 100644
index 000000000..c5e3d4bf5
--- /dev/null
+++ b/docs/reference/removeBackgroundSpecies.html
@@ -0,0 +1,133 @@
+<!DOCTYPE html>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en-GB"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Remove all background species — removeBackgroundSpecies • mizer</title><!-- favicons --><link rel="icon" type="image/png" sizes="96x96" href="../favicon-96x96.png"><link rel="icon" type="”image/svg+xml”" href="../favicon.svg"><link rel="apple-touch-icon" sizes="180x180" href="../apple-touch-icon.png"><link rel="icon" sizes="any" href="../favicon.ico"><link rel="manifest" href="../site.webmanifest"><!-- mathjax math --><script src="https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/tex-mml-chtml.js" integrity="sha256-MASABpB4tYktI2Oitl4t+78w/lyA+D7b/s9GEP0JOGI=" crossorigin="anonymous"></script><script>
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+markBackground()."><meta property="og:description" content="Removes all species that have been marked as background species with
+markBackground()."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
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+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
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+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Remove all background species</h1>
+      <small class="dont-index">Source: <a href="https://github.com/sizespectrum/mizer/blob/HEAD/R/background.R" class="external-link"><code>R/background.R</code></a></small>
+      <div class="d-none name"><code>removeBackgroundSpecies.Rd</code></div>
+    </div>
+
+    <div class="ref-description section level2">
+    <p>Removes all species that have been marked as background species with
+<code><a href="markBackground.html">markBackground()</a></code>.</p>
+    </div>
+
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">removeBackgroundSpecies</span><span class="op">(</span><span class="va">params</span><span class="op">)</span></span></code></pre></div>
+    </div>
+
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-params">params<a class="anchor" aria-label="anchor" href="#arg-params"></a></dt>
+<dd><p>A <a href="MizerParams-class.html">MizerParams</a> object</p></dd>
+
+</dl></div>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p>A <a href="MizerParams-class.html">MizerParams</a> object with background species removed</p>
+    </div>
+    <div class="section level2">
+    <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
+    <div class="dont-index"><p><code><a href="markBackground.html">markBackground()</a></code></p></div>
+    </div>
+
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside></div>
+
+
+    <footer><div class="pkgdown-footer-left">
+  <p>Developed by <a href="https://www.york.ac.uk/maths/staff/gustav-delius/" class="external-link">Gustav Delius</a>, Finlay Scott, <a href="http://www.utas.edu.au/profiles/staff/imas/julia-blanchard" class="external-link">Julia Blanchard</a>, <a href="https://ken.haste.dk/" class="external-link">Ken Andersen</a>.</p>
+</div>
+
+<div class="pkgdown-footer-right">
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
+</div>
+
+    </footer></div>
+
+
+
+
+
+  </body></html>
+
diff --git a/docs/reference/removeSpecies.html b/docs/reference/removeSpecies.html
index 0d70bc24c..0db1e9fd8 100644
--- a/docs/reference/removeSpecies.html
+++ b/docs/reference/removeSpecies.html
@@ -5,11 +5,9 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Remove species — removeSpecies"><meta name="description" content="
-This function simply removes all entries from the MizerParams object that
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Remove species — removeSpecies"><meta name="description" content="This function simply removes all entries from the MizerParams object that
 refer to the selected species. It does not recalculate the steady state for
-the remaining species or retune their reproductive efficiency."><meta property="og:description" content="
-This function simply removes all entries from the MizerParams object that
+the remaining species or retune their reproductive efficiency."><meta property="og:description" content="This function simply removes all entries from the MizerParams object that
 refer to the selected species. It does not recalculate the steady state for
 the remaining species or retune their reproductive efficiency."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
@@ -19,7 +17,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -40,13 +38,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -56,7 +62,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -80,15 +87,14 @@
     </div>
 
     <div class="ref-description section level2">
-    <p><a href="https://lifecycle.r-lib.org/articles/stages.html#experimental" class="external-link"><img src="figures/lifecycle-experimental.svg" alt="[Experimental]"></a></p>
-<p>This function simply removes all entries from the MizerParams object that
+    <p>This function simply removes all entries from the MizerParams object that
 refer to the selected species. It does not recalculate the steady state for
 the remaining species or retune their reproductive efficiency.</p>
     </div>
 
     <div class="section level2">
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">removeSpecies</span><span class="op">(</span><span class="va">params</span>, <span class="va">species</span><span class="op">)</span></span></code></pre></div>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">removeSpecies</span><span class="op">(</span><span class="va">params</span>, <span class="va">species</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
     </div>
 
     <div class="section level2">
@@ -104,11 +110,21 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 numeric vector of species indices, or a logical vector indicating for
 each species whether it is to be removed (TRUE) or not.</p></dd>
 
+
+<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
+<dd><p>Additional arguments</p></dd>
+
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
     <p>An object of type <a href="MizerParams-class.html">MizerParams</a></p>
     </div>
+    <div class="section level2">
+    <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
+    <p>If a gear was targeting only the removed species, then this function will
+NOT remove that gear. If you want to also remove that gear then you can do
+that by calling <code><a href="setFishing.html">setFishing()</a></code>.</p>
+    </div>
 
     <div class="section level2">
     <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
diff --git a/docs/reference/renameGear.html b/docs/reference/renameGear.html
index 6dfaa1756..737cdc185 100644
--- a/docs/reference/renameGear.html
+++ b/docs/reference/renameGear.html
@@ -5,11 +5,9 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Rename gears — renameGear"><meta name="description" content="
-Changes the names of gears in a MizerParams object. This involves for
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Rename gears — renameGear"><meta name="description" content="Changes the names of gears in a MizerParams object. This involves for
 example changing the gear dimension names of selectivity and catchability
-arrays appropriately."><meta property="og:description" content="
-Changes the names of gears in a MizerParams object. This involves for
+arrays appropriately."><meta property="og:description" content="Changes the names of gears in a MizerParams object. This involves for
 example changing the gear dimension names of selectivity and catchability
 arrays appropriately."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
@@ -19,7 +17,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -40,13 +38,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -56,7 +62,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -80,15 +87,14 @@
     </div>
 
     <div class="ref-description section level2">
-    <p><a href="https://lifecycle.r-lib.org/articles/stages.html#experimental" class="external-link"><img src="figures/lifecycle-experimental.svg" alt="[Experimental]"></a></p>
-<p>Changes the names of gears in a MizerParams object. This involves for
+    <p>Changes the names of gears in a MizerParams object. This involves for
 example changing the gear dimension names of selectivity and catchability
 arrays appropriately.</p>
     </div>
 
     <div class="section level2">
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">renameGear</span><span class="op">(</span><span class="va">params</span>, <span class="va">replace</span><span class="op">)</span></span></code></pre></div>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">renameGear</span><span class="op">(</span><span class="va">params</span>, <span class="va">replace</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
     </div>
 
     <div class="section level2">
@@ -103,6 +109,10 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 <dd><p>A named character vector, with new names as values, and old
 names as names.</p></dd>
 
+
+<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
+<dd><p>Additional arguments</p></dd>
+
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
diff --git a/docs/reference/renameSpecies.html b/docs/reference/renameSpecies.html
index 4ede05de1..91a24ca18 100644
--- a/docs/reference/renameSpecies.html
+++ b/docs/reference/renameSpecies.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Rename species — renameSpecies"><meta name="description" content="
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Rename species — renameSpecies"><meta name="description" content="
 Changes the names of species in a MizerParams object. This involves for
 example changing the species dimension names of rate arrays appropriately."><meta property="og:description" content="
 Changes the names of species in a MizerParams object. This involves for
@@ -17,7 +17,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -38,13 +38,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -54,7 +62,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -85,7 +94,7 @@
 
     <div class="section level2">
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">renameSpecies</span><span class="op">(</span><span class="va">params</span>, <span class="va">replace</span><span class="op">)</span></span></code></pre></div>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">renameSpecies</span><span class="op">(</span><span class="va">params</span>, <span class="va">replace</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
     </div>
 
     <div class="section level2">
@@ -100,6 +109,10 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 <dd><p>A named character vector, with new names as values, and old
 names as names.</p></dd>
 
+
+<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
+<dd><p>Additional arguments</p></dd>
+
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
diff --git a/docs/reference/resource_constant.html b/docs/reference/resource_constant.html
index 5d740cb72..179027d03 100644
--- a/docs/reference/resource_constant.html
+++ b/docs/reference/resource_constant.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Keep resource abundance constant — resource_constant"><meta name="description" content="If you set your resource dynamics to use this function then the resource
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Keep resource abundance constant — resource_constant"><meta name="description" content="If you set your resource dynamics to use this function then the resource
 abundances are kept constant over time."><meta property="og:description" content="If you set your resource dynamics to use this function then the resource
 abundances are kept constant over time."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
@@ -15,7 +15,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -36,13 +36,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -52,7 +60,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
diff --git a/docs/reference/resource_logistic.html b/docs/reference/resource_logistic.html
index 19604903c..b54ba69a6 100644
--- a/docs/reference/resource_logistic.html
+++ b/docs/reference/resource_logistic.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Project resource using logistic model — resource_logistic"><meta name="description" content="If you set your resource dynamics to use this function then the time
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Project resource using logistic model — resource_logistic"><meta name="description" content="If you set your resource dynamics to use this function then the time
 evolution of the resource spectrum is described by a logistic equation
 $$\frac{\partial N_R(w,t)}{\partial t} = r_R(w) N_R(w)\Big[ 1 - \frac{N_R(w,t)}{c_R (w)} \Big] - \mu_R(w, t) N_R(w,t)$$"><meta property="og:description" content="If you set your resource dynamics to use this function then the time
 evolution of the resource spectrum is described by a logistic equation
@@ -17,7 +17,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -38,13 +38,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -54,7 +62,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -169,9 +178,13 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
 <p>The <code>balance_resource_logistic()</code> function is called by <code><a href="setResource.html">setResource()</a></code> to
 determine the values of the resource parameters that are needed to make the
 replenishment rate at each size equal the consumption rate at that size, as
-calculated by <code><a href="getResourceMort.html">getResourceMort()</a></code>. It should be called with only one of
-<code>resource_rate</code> or <code>resource_capacity</code> should and will return a named list
-with the values for both.</p>
+calculated by <code><a href="getResourceMort.html">getResourceMort()</a></code>. It should be called with exactly one of
+<code>resource_rate</code> or <code>resource_capacity</code> and returns a named list with values
+for both. If <code>resource_rate</code> is supplied it must be at least as large as the
+current mortality at each size. If <code>resource_capacity</code> is supplied it must be
+not be less than the current resource abundance. Where it equals the
+current resource abundance and there is positive consumption, it is nudged
+upwards slightly to avoid division by zero.</p>
     </div>
     <div class="section level2">
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
diff --git a/docs/reference/resource_params.html b/docs/reference/resource_params.html
index 1101e6201..59f535742 100644
--- a/docs/reference/resource_params.html
+++ b/docs/reference/resource_params.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Resource parameters — resource_params"><meta name="description" content="The recommended way to change the resource dynamics parameters is to use
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Resource parameters — resource_params"><meta name="description" content="The recommended way to change the resource dynamics parameters is to use
 setResource(). The resource_params list contains values that are helpful
 in setting up the actual size-dependent parameters with setResource(). If
 you have specified a custom resource dynamics function that requires
@@ -23,7 +23,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -44,13 +44,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -60,7 +68,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
diff --git a/docs/reference/resource_semichemostat.html b/docs/reference/resource_semichemostat.html
index 1251ab9c5..2969f24fd 100644
--- a/docs/reference/resource_semichemostat.html
+++ b/docs/reference/resource_semichemostat.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Project resource using semichemostat model — resource_semichemostat"><meta name="description" content="If you set your resource dynamics to use this function then the time
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Project resource using semichemostat model — resource_semichemostat"><meta name="description" content="If you set your resource dynamics to use this function then the time
 evolution of the resource spectrum is described by a semi-chemostat equation
 $$\frac{\partial N_R(w,t)}{\partial t} = r_R(w) \Big[ c_R (w) - N_R(w,t) \Big] - \mu_R(w, t) N_R(w,t)$$"><meta property="og:description" content="If you set your resource dynamics to use this function then the time
 evolution of the resource spectrum is described by a semi-chemostat equation
@@ -17,7 +17,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -38,13 +38,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -54,7 +62,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -170,8 +179,12 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
 to determine the values of the resource parameters that are needed to make
 the replenishment rate at each size equal the consumption rate at that size,
 as calculated by <code><a href="getResourceMort.html">getResourceMort()</a></code>. It should be called with only one of
-<code>resource_rate</code> or <code>resource_capacity</code> and will return a named list
-with the values for both.</p>
+<code>resource_rate</code> or <code>resource_capacity</code> and returns a named list with values
+for both. If <code>resource_rate</code> is supplied it must be positive wherever the
+current resource mortality is positive. If <code>resource_capacity</code> is supplied it
+must not be less than the current resource abundance. Where it equals the
+current resource abundance and there is positive consumption, it is nudged
+upwards slightly to avoid division by zero.</p>
     </div>
     <div class="section level2">
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
diff --git a/docs/reference/saveParams.html b/docs/reference/saveParams.html
index b2750d6d3..cefc418ca 100644
--- a/docs/reference/saveParams.html
+++ b/docs/reference/saveParams.html
@@ -1,15 +1,17 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en-GB"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Save a MizerParams object to file, and restore it — saveParams • mizer</title><!-- favicons --><link rel="icon" type="image/png" sizes="96x96" href="../favicon-96x96.png"><link rel="icon" type="”image/svg+xml”" href="../favicon.svg"><link rel="apple-touch-icon" sizes="180x180" href="../apple-touch-icon.png"><link rel="icon" sizes="any" href="../favicon.ico"><link rel="manifest" href="../site.webmanifest"><!-- mathjax math --><script src="https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/tex-mml-chtml.js" integrity="sha256-MASABpB4tYktI2Oitl4t+78w/lyA+D7b/s9GEP0JOGI=" crossorigin="anonymous"></script><script>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en-GB"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Save and restore mizer objects — saveParams • mizer</title><!-- favicons --><link rel="icon" type="image/png" sizes="96x96" href="../favicon-96x96.png"><link rel="icon" type="”image/svg+xml”" href="../favicon.svg"><link rel="apple-touch-icon" sizes="180x180" href="../apple-touch-icon.png"><link rel="icon" sizes="any" href="../favicon.ico"><link rel="manifest" href="../site.webmanifest"><!-- mathjax math --><script src="https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/tex-mml-chtml.js" integrity="sha256-MASABpB4tYktI2Oitl4t+78w/lyA+D7b/s9GEP0JOGI=" crossorigin="anonymous"></script><script>
   window.MathJax = {
     chtml: {
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Save a MizerParams object to file, and restore it — saveParams"><meta name="description" content="
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Save and restore mizer objects — saveParams"><meta name="description" content="
 saveParams() saves a MizerParams object to a file. This can then be
-restored with readParams()."><meta property="og:description" content="
+restored with readParams(). saveSim() and readSim() provide the same
+lifecycle for MizerSim objects."><meta property="og:description" content="
 saveParams() saves a MizerParams object to a file. This can then be
-restored with readParams()."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
+restored with readParams(). saveSim() and readSim() provide the same
+lifecycle for MizerSim objects."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
 
 
@@ -17,7 +19,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -38,13 +40,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -54,7 +64,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -72,7 +83,7 @@
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="../logo.png" class="logo" alt=""><h1>Save a MizerParams object to file, and restore it</h1>
+      <img src="../logo.png" class="logo" alt=""><h1>Save and restore mizer objects</h1>
       <small class="dont-index">Source: <a href="https://github.com/sizespectrum/mizer/blob/HEAD/R/saveParams.R" class="external-link"><code>R/saveParams.R</code></a></small>
       <div class="d-none name"><code>saveParams.Rd</code></div>
     </div>
@@ -80,14 +91,19 @@
     <div class="ref-description section level2">
     <p><a href="https://lifecycle.r-lib.org/articles/stages.html#experimental" class="external-link"><img src="figures/lifecycle-experimental.svg" alt="[Experimental]"></a>
 <code>saveParams()</code> saves a MizerParams object to a file. This can then be
-restored with <code>readParams()</code>.</p>
+restored with <code>readParams()</code>. <code>saveSim()</code> and <code>readSim()</code> provide the same
+lifecycle for MizerSim objects.</p>
     </div>
 
     <div class="section level2">
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">saveParams</span><span class="op">(</span><span class="va">params</span>, <span class="va">file</span><span class="op">)</span></span>
 <span></span>
-<span><span class="fu">readParams</span><span class="op">(</span><span class="va">file</span><span class="op">)</span></span></code></pre></div>
+<span><span class="fu">readParams</span><span class="op">(</span><span class="va">file</span>, install_extensions <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span></span>
+<span></span>
+<span><span class="fu">saveSim</span><span class="op">(</span><span class="va">sim</span>, <span class="va">file</span><span class="op">)</span></span>
+<span></span>
+<span><span class="fu">readSim</span><span class="op">(</span><span class="va">file</span>, install_extensions <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span></span></code></pre></div>
     </div>
 
     <div class="section level2">
@@ -99,13 +115,25 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 
 
 <dt id="arg-file">file<a class="anchor" aria-label="anchor" href="#arg-file"></a></dt>
-<dd><p>The name of the file or a connection where the MizerParams object
-is saved to or read from.</p></dd>
+<dd><p>The name of the file or a connection where the object is saved
+to or read from.</p></dd>
+
+
+<dt id="arg-install-extensions">install_extensions<a class="anchor" aria-label="anchor" href="#arg-install-extensions"></a></dt>
+<dd><p>Logical. Should <code>readParams()</code> or <code>readSim()</code>
+attempt to install missing extension packages before registering the saved
+extension chain?</p></dd>
+
+
+<dt id="arg-sim">sim<a class="anchor" aria-label="anchor" href="#arg-sim"></a></dt>
+<dd><p>A MizerSim object</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    <p>NULL invisibly</p>
+    <p><code>saveParams()</code> and <code>saveSim()</code> return NULL invisibly.
+<code>readParams()</code> returns a MizerParams object. <code>readSim()</code> returns a MizerSim
+object.</p>
     </div>
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
diff --git a/docs/reference/saveSim.html b/docs/reference/saveSim.html
new file mode 100644
index 000000000..2bb41a46b
--- /dev/null
+++ b/docs/reference/saveSim.html
@@ -0,0 +1,8 @@
+<html>
+  <head>
+    <meta http-equiv="refresh" content="0;URL=https://sizespectrum.org/mizer/reference/saveParams.html" />
+    <meta name="robots" content="noindex">
+    <link rel="canonical" href="https://sizespectrum.org/mizer/reference/saveParams.html">
+  </head>
+</html>
+
diff --git a/docs/reference/scaleModel.html b/docs/reference/scaleModel.html
index 87a50562e..18f55dbfe 100644
--- a/docs/reference/scaleModel.html
+++ b/docs/reference/scaleModel.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Change scale of the model — scaleModel"><meta name="description" content="
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Change scale of the model — scaleModel"><meta name="description" content="
 The abundances in mizer and some rates depend on the size of the area to
 which they refer. So they could be given per square meter or per square
 kilometer or for an entire study area or any other choice of yours. This
@@ -23,7 +23,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -44,13 +44,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -60,7 +68,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -94,7 +103,7 @@
 
     <div class="section level2">
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">scaleModel</span><span class="op">(</span><span class="va">params</span>, <span class="va">factor</span><span class="op">)</span></span></code></pre></div>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">scaleModel</span><span class="op">(</span><span class="va">params</span>, <span class="va">factor</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
     </div>
 
     <div class="section level2">
@@ -108,6 +117,10 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 <dt id="arg-factor">factor<a class="anchor" aria-label="anchor" href="#arg-factor"></a></dt>
 <dd><p>The factor by which the scale is multiplied</p></dd>
 
+
+<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
+<dd><p>Additional arguments passed to the method.</p></dd>
+
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
diff --git a/docs/reference/scaleRates.html b/docs/reference/scaleRates.html
new file mode 100644
index 000000000..f9de4953c
--- /dev/null
+++ b/docs/reference/scaleRates.html
@@ -0,0 +1,166 @@
+<!DOCTYPE html>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en-GB"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Rescale all rates in a mizer model — scaleRates • mizer</title><!-- favicons --><link rel="icon" type="image/png" sizes="96x96" href="../favicon-96x96.png"><link rel="icon" type="”image/svg+xml”" href="../favicon.svg"><link rel="apple-touch-icon" sizes="180x180" href="../apple-touch-icon.png"><link rel="icon" sizes="any" href="../favicon.ico"><link rel="manifest" href="../site.webmanifest"><!-- mathjax math --><script src="https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/tex-mml-chtml.js" integrity="sha256-MASABpB4tYktI2Oitl4t+78w/lyA+D7b/s9GEP0JOGI=" crossorigin="anonymous"></script><script>
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+a factor \(f\) is equivalent to rescaling time by \(f\): it speeds up
+(or slows down) all dynamics without affecting the steady state of each
+species, provided the resource spectrum is held at its steady-state value."><meta property="og:description" content="Multiplies all rates in the model by a given factor. Rescaling all rates by
+a factor \(f\) is equivalent to rescaling time by \(f\): it speeds up
+(or slows down) all dynamics without affecting the steady state of each
+species, provided the resource spectrum is held at its steady-state value."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
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+    <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
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+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
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+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Rescale all rates in a mizer model</h1>
+      <small class="dont-index">Source: <a href="https://github.com/sizespectrum/mizer/blob/HEAD/R/scaleRates.R" class="external-link"><code>R/scaleRates.R</code></a></small>
+      <div class="d-none name"><code>scaleRates.Rd</code></div>
+    </div>
+
+    <div class="ref-description section level2">
+    <p>Multiplies all rates in the model by a given factor. Rescaling all rates by
+a factor \(f\) is equivalent to rescaling time by \(f\): it speeds up
+(or slows down) all dynamics without affecting the steady state of each
+species, provided the resource spectrum is held at its steady-state value.</p>
+    </div>
+
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">scaleRates</span><span class="op">(</span><span class="va">params</span>, <span class="va">factor</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
+    </div>
+
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-params">params<a class="anchor" aria-label="anchor" href="#arg-params"></a></dt>
+<dd><p>A MizerParams object</p></dd>
+
+
+<dt id="arg-factor">factor<a class="anchor" aria-label="anchor" href="#arg-factor"></a></dt>
+<dd><p>The positive factor by which all rates are multiplied.</p></dd>
+
+
+<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
+<dd><p>Currently unused.</p></dd>
+
+</dl></div>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p>The MizerParams object with all rates rescaled by <code>factor</code>.</p>
+    </div>
+    <div class="section level2">
+    <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
+    <p>The following rates and their associated species parameters are rescaled:</p><ul><li><p>Search volume (<code>search_vol</code> slot and <code>gamma</code> species parameter)</p></li>
+<li><p>Maximum intake rate (<code>intake_max</code> slot and <code>h</code> species parameter)</p></li>
+<li><p>Metabolic rate (<code>metab</code> slot and <code>ks</code>, <code>k</code> species parameters)</p></li>
+<li><p>External mortality (<code>mu_b</code> slot and <code>z0</code>, <code>z_ext</code>, <code>z0pre</code> species
+parameters)</p></li>
+<li><p>External encounter rate (<code>ext_encounter</code> slot and <code>E_ext</code> species
+parameter)</p></li>
+<li><p>External diffusion (<code>ext_diffusion</code> slot and <code>D_ext</code> species
+parameter)</p></li>
+<li><p>Catchability (<code>catchability</code> slot and <code>catchability</code> column in
+<code>gear_params</code>)</p></li>
+<li><p>Maximum reproduction rate (<code>R_max</code> species parameter)</p></li>
+<li><p>Resource growth rate (<code>rr_pp</code> slot)</p></li>
+</ul><p>Both the rate arrays stored in the MizerParams slots and the associated
+species parameters in <code>species_params</code> and <code>given_species_params</code> are
+rescaled, so that the parameters remain consistent with the rate arrays.</p>
+    </div>
+    <div class="section level2">
+    <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
+    <div class="dont-index"><p><code><a href="scaleModel.html">scaleModel()</a></code></p></div>
+    </div>
+
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside></div>
+
+
+    <footer><div class="pkgdown-footer-left">
+  <p>Developed by <a href="https://www.york.ac.uk/maths/staff/gustav-delius/" class="external-link">Gustav Delius</a>, Finlay Scott, <a href="http://www.utas.edu.au/profiles/staff/imas/julia-blanchard" class="external-link">Julia Blanchard</a>, <a href="https://ken.haste.dk/" class="external-link">Ken Andersen</a>.</p>
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+
diff --git a/docs/reference/setBevertonHolt.html b/docs/reference/setBevertonHolt.html
index 6b9ce9aa1..7e88e9046 100644
--- a/docs/reference/setBevertonHolt.html
+++ b/docs/reference/setBevertonHolt.html
@@ -5,8 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Set Beverton-Holt reproduction without changing the steady state — setBevertonHolt"><meta name="description" content="
-Takes a MizerParams object params with arbitrary density dependence in
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Set Beverton-Holt reproduction without changing the steady state — setBevertonHolt"><meta name="description" content="Takes a MizerParams object params with arbitrary density dependence in
 reproduction and
 returns a MizerParams object with Beverton-Holt density-dependence in such a
 way that the energy invested into reproduction by the mature individuals
@@ -16,8 +15,7 @@
 with this function will leave you with the exact same steady state. By
 specifying one of the parameters erepro, R_max or reproduction_level
 you pick the desired reproduction curve. More details of these parameters are
-provided below."><meta property="og:description" content="
-Takes a MizerParams object params with arbitrary density dependence in
+provided below."><meta property="og:description" content="Takes a MizerParams object params with arbitrary density dependence in
 reproduction and
 returns a MizerParams object with Beverton-Holt density-dependence in such a
 way that the energy invested into reproduction by the mature individuals
@@ -35,7 +33,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -56,13 +54,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -72,7 +78,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -96,8 +103,7 @@
     </div>
 
     <div class="ref-description section level2">
-    <p><a href="https://lifecycle.r-lib.org/articles/stages.html#experimental" class="external-link"><img src="figures/lifecycle-experimental.svg" alt="[Experimental]"></a>
-Takes a MizerParams object <code>params</code> with arbitrary density dependence in
+    <p>Takes a MizerParams object <code>params</code> with arbitrary density dependence in
 reproduction and
 returns a MizerParams object with Beverton-Holt density-dependence in such a
 way that the energy invested into reproduction by the mature individuals
@@ -112,13 +118,7 @@
 
     <div class="section level2">
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">setBevertonHolt</span><span class="op">(</span></span>
-<span>  <span class="va">params</span>,</span>
-<span>  R_factor <span class="op">=</span> <span class="fu">deprecated</span><span class="op">(</span><span class="op">)</span>,</span>
-<span>  <span class="va">erepro</span>,</span>
-<span>  <span class="va">R_max</span>,</span>
-<span>  <span class="va">reproduction_level</span></span>
-<span><span class="op">)</span></span></code></pre></div>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">setBevertonHolt</span><span class="op">(</span><span class="va">params</span>, <span class="va">erepro</span>, <span class="va">R_max</span>, <span class="va">reproduction_level</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
     </div>
 
     <div class="section level2">
@@ -129,11 +129,6 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 <dd><p>A MizerParams object</p></dd>
 
 
-<dt id="arg-r-factor">R_factor<a class="anchor" aria-label="anchor" href="#arg-r-factor"></a></dt>
-<dd><p><a href="https://lifecycle.r-lib.org/articles/stages.html#deprecated" class="external-link"><img src="figures/lifecycle-deprecated.svg" alt="[Deprecated]"></a> Use
-<code>reproduction_level = 1 / R_factor</code> instead.</p></dd>
-
-
 <dt id="arg-erepro">erepro<a class="anchor" aria-label="anchor" href="#arg-erepro"></a></dt>
 <dd><p>Reproductive efficiency for each species. See details.</p></dd>
 
@@ -146,6 +141,12 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 <dd><p>Sets <code>R_max</code> so that the reproduction rate at
 the initial state is <code>R_max * reproduction_level</code>.</p></dd>
 
+
+<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
+<dd><p>Unused</p><ul><li><p><code>R_factor</code>: Legacy alternative for specifying
+<code>reproduction_level = 1 / R_factor</code>.</p></li>
+</ul></dd>
+
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
@@ -201,7 +202,7 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
 <p>The values for <code>R_max</code> must be larger than \(R_{dd}\) and can range
 up to <code>Inf</code>. If a smaller value is requested a warning is issued and the
 value is increased to the value required for a reproduction level of 0.99.</p>
-<p>The values for the <code>reproduction_level</code> must be positive and
+<p>The values for the <code>reproduction_level</code> must be non-negative and
 less than 1. The values for <code>erepro</code> must be large enough to allow the
 required reproduction rate. If a smaller value is requested a warning is
 issued and the value is increased to the smallest possible value. The values
diff --git a/docs/reference/setColours-1.png b/docs/reference/setColours-1.png
index aa59e95cc..08d9ef07d 100644
Binary files a/docs/reference/setColours-1.png and b/docs/reference/setColours-1.png differ
diff --git a/docs/reference/setColours.html b/docs/reference/setColours.html
index 764f2a34a..9a0b97ccd 100644
--- a/docs/reference/setColours.html
+++ b/docs/reference/setColours.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Set line colours and line types to be used in mizer plots — setColours"><meta name="description" content='
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Set line colours and line types to be used in mizer plots — setColours"><meta name="description" content='
 Used for setting the colour and type of lines representing "Total",
 "Resource", "Fishing", "Background", "External" and possibly other categories
 in plots.'><meta property="og:description" content='
@@ -19,7 +19,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -40,13 +40,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -56,7 +64,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
diff --git a/docs/reference/setComponent.html b/docs/reference/setComponent.html
index bfb6f10b4..6058a73c1 100644
--- a/docs/reference/setComponent.html
+++ b/docs/reference/setComponent.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Add a dynamical ecosystem component — setComponent"><meta name="description" content="By default, mizer models any number of size-resolved consumer species
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Add a dynamical ecosystem component — setComponent"><meta name="description" content="By default, mizer models any number of size-resolved consumer species
 and a single size-resolved resource spectrum. Your model may require
 additional components, like for example detritus or carrion or multiple
 resources or .... This function allows you to set up such components."><meta property="og:description" content="By default, mizer models any number of size-resolved consumer species
@@ -19,7 +19,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -40,13 +40,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -56,7 +64,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -95,10 +104,14 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 <span>  <span class="va">dynamics_fun</span>,</span>
 <span>  <span class="va">encounter_fun</span>,</span>
 <span>  <span class="va">mort_fun</span>,</span>
-<span>  <span class="va">component_params</span></span>
+<span>  <span class="va">component_params</span>,</span>
+<span>  colour <span class="op">=</span> <span class="st">"grey"</span>,</span>
+<span>  linetype <span class="op">=</span> <span class="st">"solid"</span></span>
 <span><span class="op">)</span></span>
 <span></span>
-<span><span class="fu">removeComponent</span><span class="op">(</span><span class="va">params</span>, <span class="va">component</span><span class="op">)</span></span></code></pre></div>
+<span><span class="fu">removeComponent</span><span class="op">(</span><span class="va">params</span>, <span class="va">component</span><span class="op">)</span></span>
+<span></span>
+<span><span class="fu">getComponent</span><span class="op">(</span><span class="va">params</span>, <span class="va">component</span><span class="op">)</span></span></code></pre></div>
     </div>
 
     <div class="section level2">
@@ -110,7 +123,8 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 
 
 <dt id="arg-component">component<a class="anchor" aria-label="anchor" href="#arg-component"></a></dt>
-<dd><p>Name of the component</p></dd>
+<dd><p>Name of the component of interest. If missing, a list of
+all components will be returned.</p></dd>
 
 
 <dt id="arg-initial-value">initial_value<a class="anchor" aria-label="anchor" href="#arg-initial-value"></a></dt>
@@ -135,10 +149,25 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 <dd><p>Object holding the parameters needed by the component
 functions. This could for example be a named list of parameters. Optional.</p></dd>
 
+
+<dt id="arg-colour">colour<a class="anchor" aria-label="anchor" href="#arg-colour"></a></dt>
+<dd><p>Line colour to use for the component in plots. Defaults to
+<code>"grey"</code>.</p></dd>
+
+
+<dt id="arg-linetype">linetype<a class="anchor" aria-label="anchor" href="#arg-linetype"></a></dt>
+<dd><p>Line type to use for the component in plots. Defaults to
+<code>"solid"</code>.</p></dd>
+
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
     <p>The updated MizerParams object</p>
+<p>For <code>getComponent</code>: A list with the entries <code>initial_value</code>, <code>dynamics_fun</code>,
+<code>encounter_fun</code>, <code>mort_fun</code>, <code>component_params</code> for the requested
+component. If the requested component does not exist, <code>NULL</code> is returned.
+If no <code>component</code> argument is given, then a list of lists for all
+components is returned.</p>
     </div>
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
@@ -146,9 +175,23 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
 data structure you like.</p>
 <p>If you set a component with a new name, the new component will be added
 to the existing components. If you set a component with an existing name,
-that component will be overwritten. You can remove a component with
+the <code>initial_value</code> and <code>dynamics_fun</code> are overwritten, while the optional
+<code>encounter_fun</code>, <code>mort_fun</code> and <code>component_params</code> are only changed if the
+corresponding arguments are supplied. You can remove a component with
 <code>removeComponent()</code>.</p>
     </div>
+    <div class="section level2">
+    <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
+    <div class="dont-index"><p>Other extension tools:
+<code><a href="NOther.html">NOther()</a></code>,
+<code><a href="clearExtensionChain.html">clearExtensionChain()</a></code>,
+<code><a href="coerceToExtensionClass.html">coerceToExtensionClass()</a></code>,
+<code><a href="getRegisteredExtensions.html">getRegisteredExtensions()</a></code>,
+<code><a href="initialNOther-set.html">initialNOther&lt;-()</a></code>,
+<code><a href="registerExtension.html">registerExtension()</a></code>,
+<code><a href="registerExtensions.html">registerExtensions()</a></code>,
+<code><a href="setRateFunction.html">setRateFunction()</a></code></p></div>
+    </div>
 
   </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
diff --git a/docs/reference/setExtDiffusion.MizerParams.html b/docs/reference/setExtDiffusion.MizerParams.html
new file mode 100644
index 000000000..7b3a9aa68
--- /dev/null
+++ b/docs/reference/setExtDiffusion.MizerParams.html
@@ -0,0 +1,8 @@
+<html>
+  <head>
+    <meta http-equiv="refresh" content="0;URL=https://sizespectrum.org/mizer/reference/setExtDiffusion.html" />
+    <meta name="robots" content="noindex">
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+  </head>
+</html>
+
diff --git a/docs/reference/setExtDiffusion.html b/docs/reference/setExtDiffusion.html
new file mode 100644
index 000000000..6dd9d1498
--- /dev/null
+++ b/docs/reference/setExtDiffusion.html
@@ -0,0 +1,197 @@
+<!DOCTYPE html>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en-GB"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Set external diffusion rate — setExtDiffusion • mizer</title><!-- favicons --><link rel="icon" type="image/png" sizes="96x96" href="../favicon-96x96.png"><link rel="icon" type="”image/svg+xml”" href="../favicon.svg"><link rel="apple-touch-icon" sizes="180x180" href="../apple-touch-icon.png"><link rel="icon" sizes="any" href="../favicon.ico"><link rel="manifest" href="../site.webmanifest"><!-- mathjax math --><script src="https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/tex-mml-chtml.js" integrity="sha256-MASABpB4tYktI2Oitl4t+78w/lyA+D7b/s9GEP0JOGI=" crossorigin="anonymous"></script><script>
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+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Set external diffusion rate</h1>
+      <small class="dont-index">Source: <a href="https://github.com/sizespectrum/mizer/blob/HEAD/R/setExtDiffusion.R" class="external-link"><code>R/setExtDiffusion.R</code></a></small>
+      <div class="d-none name"><code>setExtDiffusion.Rd</code></div>
+    </div>
+
+    <div class="ref-description section level2">
+    <p>Set external diffusion rate</p>
+    </div>
+
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">setExtDiffusion</span><span class="op">(</span><span class="va">params</span>, ext_diffusion <span class="op">=</span> <span class="cn">NULL</span>, reset <span class="op">=</span> <span class="cn">FALSE</span>, <span class="va">...</span><span class="op">)</span></span>
+<span></span>
+<span><span class="co"># S3 method for class 'MizerParams'</span></span>
+<span><span class="fu">setExtDiffusion</span><span class="op">(</span><span class="va">params</span>, ext_diffusion <span class="op">=</span> <span class="cn">NULL</span>, reset <span class="op">=</span> <span class="cn">FALSE</span>, <span class="va">...</span><span class="op">)</span></span>
+<span></span>
+<span><span class="fu">ext_diffusion</span><span class="op">(</span><span class="va">params</span><span class="op">)</span></span>
+<span></span>
+<span><span class="fu">ext_diffusion</span><span class="op">(</span><span class="va">params</span><span class="op">)</span> <span class="op">&lt;-</span> <span class="va">value</span></span></code></pre></div>
+    </div>
+
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-params">params<a class="anchor" aria-label="anchor" href="#arg-params"></a></dt>
+<dd><p>MizerParams</p></dd>
+
+
+<dt id="arg-ext-diffusion">ext_diffusion<a class="anchor" aria-label="anchor" href="#arg-ext-diffusion"></a></dt>
+<dd><p>Optional. An array (species x size) holding the
+external diffusion rate. If not supplied, a default is calculated from the
+<code>D_ext</code> and <code>n</code> species parameters as described in the section "Setting
+external diffusion rate".</p></dd>
+
+
+<dt id="arg-reset">reset<a class="anchor" aria-label="anchor" href="#arg-reset"></a></dt>
+<dd><p><a href="https://lifecycle.r-lib.org/articles/stages.html#experimental" class="external-link"><img src="figures/lifecycle-experimental.svg" alt="[Experimental]"></a>
+If set to TRUE, then the external diffusion rate will be reset to the
+value calculated from the species parameters, even if it was previously
+overwritten with a custom value. If set to FALSE (default) then a
+recalculation from the species parameters will take place only if no
+custom value has been set.</p></dd>
+
+
+<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
+<dd><p>Unused</p></dd>
+
+
+<dt id="arg-value">value<a class="anchor" aria-label="anchor" href="#arg-value"></a></dt>
+<dd><p>ext_diffusion</p></dd>
+
+</dl></div>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p><code>setExtDiffusion()</code>: A MizerParams object with updated external
+diffusion rate.</p>
+<p><code>ext_diffusion()</code>: An <code>ArraySpeciesBySize</code> object (species x size)
+with the external diffusion rate.</p>
+    </div>
+    <div class="section level2">
+    <h2 id="setting-external-diffusion-rate">Setting external diffusion rate<a class="anchor" aria-label="anchor" href="#setting-external-diffusion-rate"></a></h2>
+
+
+<p>The external diffusion rate allows you to impose additional diffusion of
+abundance density over body size beyond the predation-driven diffusion
+computed by <code><a href="mizerDiffusion.html">mizerDiffusion()</a></code>.</p>
+<p>The <code>ext_diffusion</code> argument allows you to specify a diffusion rate that
+depends on species and body size.</p>
+<p>If the <code>ext_diffusion</code> argument is not supplied, then the external diffusion
+rate is calculated as a power law:
+$$D_{ext.i}(w) = D_{ext.i}\, w^{n_i+1}.$$
+The coefficient \(D_{ext.i}\) is taken from the <code>D_ext</code> column of the
+species parameter data frame, which defaults to 0. The exponent
+\(n_i + 1\) uses the <code>n</code> column of the species parameter data frame.</p>
+<p>If the <code>ext_diffusion</code> slot has a comment and <code>reset = FALSE</code>, then a
+recalculation from the species parameters is suppressed and a message is
+issued if the recalculated values would differ from the stored ones.</p>
+    </div>
+    <div class="section level2">
+    <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
+    <div class="dont-index"><p>Other functions for setting parameters:
+<code><a href="gear_params.html">gear_params()</a></code>,
+<code><a href="setExtEncounter.html">setExtEncounter()</a></code>,
+<code><a href="setExtMort.html">setExtMort()</a></code>,
+<code><a href="setFishing.html">setFishing()</a></code>,
+<code><a href="setInitialValues.html">setInitialValues()</a></code>,
+<code><a href="setInteraction.html">setInteraction()</a></code>,
+<code><a href="setMaxIntakeRate.html">setMaxIntakeRate()</a></code>,
+<code><a href="setMetabolicRate.html">setMetabolicRate()</a></code>,
+<code><a href="setParams.html">setParams()</a></code>,
+<code><a href="setPredKernel.html">setPredKernel()</a></code>,
+<code><a href="setReproduction.html">setReproduction()</a></code>,
+<code><a href="setSearchVolume.html">setSearchVolume()</a></code>,
+<code><a href="species_params.html">species_params()</a></code>,
+<code><a href="use_predation_diffusion.html">use_predation_diffusion()</a></code></p></div>
+    </div>
+
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside></div>
+
+
+    <footer><div class="pkgdown-footer-left">
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diff --git a/docs/reference/setExtEncounter.html b/docs/reference/setExtEncounter.html
index 3c1ea797a..3fcc67588 100644
--- a/docs/reference/setExtEncounter.html
+++ b/docs/reference/setExtEncounter.html
@@ -5,7 +5,7 @@
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   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Set external encounter rate — setExtEncounter"><meta name="description" content="Set external encounter rate"><meta property="og:description" content="Set external encounter rate"><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Set external encounter rate — setExtEncounter"><meta name="description" content="Set external encounter rate"><meta property="og:description" content="Set external encounter rate"><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
 
 
@@ -13,7 +13,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -34,13 +34,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -50,7 +58,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -79,7 +88,7 @@
 
     <div class="section level2">
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">setExtEncounter</span><span class="op">(</span><span class="va">params</span>, ext_encounter <span class="op">=</span> <span class="cn">NULL</span>, <span class="va">...</span><span class="op">)</span></span>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">setExtEncounter</span><span class="op">(</span><span class="va">params</span>, ext_encounter <span class="op">=</span> <span class="cn">NULL</span>, reset <span class="op">=</span> <span class="cn">FALSE</span>, <span class="va">...</span><span class="op">)</span></span>
 <span></span>
 <span><span class="fu">getExtEncounter</span><span class="op">(</span><span class="va">params</span><span class="op">)</span></span>
 <span></span>
@@ -98,8 +107,18 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 
 <dt id="arg-ext-encounter">ext_encounter<a class="anchor" aria-label="anchor" href="#arg-ext-encounter"></a></dt>
 <dd><p>Optional. An array (species x size) holding the external
-encounter rate.  If not supplied, the external encounter rate is left
-unchanged. Initially is is set to 0.</p></dd>
+encounter rate.  If not supplied, a default is calculated from the <code>E_ext</code>
+and <code>n</code> species parameters as described in the section "Setting external
+encounter rate".</p></dd>
+
+
+<dt id="arg-reset">reset<a class="anchor" aria-label="anchor" href="#arg-reset"></a></dt>
+<dd><p><a href="https://lifecycle.r-lib.org/articles/stages.html#experimental" class="external-link"><img src="figures/lifecycle-experimental.svg" alt="[Experimental]"></a>
+If set to TRUE, then the external encounter rate will be reset to the value
+calculated from the species parameters, even if it was previously
+overwritten with a custom value. If set to FALSE (default) then a
+recalculation from the species parameters will take place only if no
+custom value has been set.</p></dd>
 
 
 <dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
@@ -114,8 +133,8 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
     <p><code>setExtEncounter()</code>: A MizerParams object with updated external encounter
 rate.</p>
-<p><code>getExtEncounter()</code> or equivalently <code>ext_encounter()</code>: An array
-(species x size) with the external encounter rate.</p>
+<p><code>getExtEncounter()</code> or equivalently <code>ext_encounter()</code>: A
+<code>ArraySpeciesBySize</code> object (species x size) with the external encounter rate.</p>
     </div>
     <div class="section level2">
     <h2 id="setting-external-encounter-rate">Setting external encounter rate<a class="anchor" aria-label="anchor" href="#setting-external-encounter-rate"></a></h2>
@@ -126,11 +145,21 @@ <h2 id="setting-external-encounter-rate">Setting external encounter rate<a class
 <p>The <code>ext_encounter</code> argument allows you to specify an external encounter rate
 that depends on species and body size. You can see an example of this in
 the Examples section of the help page for <code>setExtEncounter()</code>.</p>
+<p>If the <code>ext_encounter</code> argument is not supplied, then the external encounter
+rate is calculated as a power law:
+$$E_{ext.i}(w) = E_{ext.i}\, w^{n_i}.$$
+The coefficient \(E_{ext.i}\) is taken from the <code>E_ext</code> column of the
+species parameter data frame, which defaults to 0. The exponent \(n_i\) is
+taken from the <code>n</code> column of the species parameter data frame.</p>
+<p>If the <code>ext_encounter</code> slot has a comment and <code>reset = FALSE</code>, then a
+recalculation from the species parameters is suppressed and a message is
+issued if the recalculated values would differ from the stored ones.</p>
     </div>
     <div class="section level2">
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
     <div class="dont-index"><p>Other functions for setting parameters:
 <code><a href="gear_params.html">gear_params()</a></code>,
+<code><a href="setExtDiffusion.html">setExtDiffusion()</a></code>,
 <code><a href="setExtMort.html">setExtMort()</a></code>,
 <code><a href="setFishing.html">setFishing()</a></code>,
 <code><a href="setInitialValues.html">setInitialValues()</a></code>,
@@ -141,7 +170,8 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
 <code><a href="setPredKernel.html">setPredKernel()</a></code>,
 <code><a href="setReproduction.html">setReproduction()</a></code>,
 <code><a href="setSearchVolume.html">setSearchVolume()</a></code>,
-<code><a href="species_params.html">species_params()</a></code></p></div>
+<code><a href="species_params.html">species_params()</a></code>,
+<code><a href="use_predation_diffusion.html">use_predation_diffusion()</a></code></p></div>
     </div>
 
     <div class="section level2">
diff --git a/docs/reference/setExtMort.html b/docs/reference/setExtMort.html
index c43178471..088ccf420 100644
--- a/docs/reference/setExtMort.html
+++ b/docs/reference/setExtMort.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Set external mortality rate — setExtMort"><meta name="description" content="Set external mortality rate"><meta property="og:description" content="Set external mortality rate"><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Set external mortality rate — setExtMort"><meta name="description" content="Set external mortality rate"><meta property="og:description" content="Set external mortality rate"><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
 
 
@@ -13,7 +13,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -34,13 +34,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -50,7 +58,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -125,7 +134,7 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 <dt id="arg-reset">reset<a class="anchor" aria-label="anchor" href="#arg-reset"></a></dt>
 <dd><p><a href="https://lifecycle.r-lib.org/articles/stages.html#experimental" class="external-link"><img src="figures/lifecycle-experimental.svg" alt="[Experimental]"></a>
 If set to TRUE, then the external mortality rate will be reset
-to the value calculated from the <code>z0</code> parameters, even if it was
+to the value calculated from the species parameters, even if it was
 previously overwritten with a custom value. If set to FALSE (default) then
 a recalculation from the species parameters will take place only if no
 custom value has been set.</p></dd>
@@ -148,8 +157,8 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
     <p><code>setExtMort()</code>: A MizerParams object with updated external mortality
 rate.</p>
-<p><code>getExtMort()</code> or equivalently <code>ext_mort()</code>: An array (species x
-size) with the external mortality.</p>
+<p><code>getExtMort()</code> or equivalently <code>ext_mort()</code>: An <code>ArraySpeciesBySize</code>
+object (species x size) with the external mortality.</p>
     </div>
     <div class="section level2">
     <h2 id="setting-external-mortality-rate">Setting external mortality rate<a class="anchor" aria-label="anchor" href="#setting-external-mortality-rate"></a></h2>
@@ -164,16 +173,20 @@ <h2 id="setting-external-mortality-rate">Setting external mortality rate<a class
 that depends on species and body size. You can see an example of this in
 the Examples section of the help page for <code>setExtMort()</code>.</p>
 <p>If the <code>ext_mort</code> argument is not supplied, then the external mortality is
-assumed to depend only on the species, not on the size of the individual:
-\(\mu_{ext.i}(w) = z_{0.i}\). The value of the constant \(z_0\) for each
-species is taken from the <code>z0</code> column of the species parameter data frame, if
-that column exists. Otherwise it is calculated as
-$$z_{0.i} = {\tt z0pre}_i\, w_{inf}^{\tt z0exp}.$$</p>
+taken from the species parameters as
+$$\mu_{ext.i}(w) = z_{0.i} + z_{ext.i} w^{d_i}.$$
+The value of the constant \(z_0\) for each species is taken from the <code>z0</code>
+column of the species parameter data frame, if that column exists.
+Otherwise it is calculated as
+$$z_{0.i} = {\tt z0pre}_i\, w_{inf}^{\tt z0exp}.$$
+Missing values of <code>z_ext</code> are set to 0 and missing values of <code>d</code> are set to
+<code>n - 1</code>.</p>
     </div>
     <div class="section level2">
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
     <div class="dont-index"><p>Other functions for setting parameters:
 <code><a href="gear_params.html">gear_params()</a></code>,
+<code><a href="setExtDiffusion.html">setExtDiffusion()</a></code>,
 <code><a href="setExtEncounter.html">setExtEncounter()</a></code>,
 <code><a href="setFishing.html">setFishing()</a></code>,
 <code><a href="setInitialValues.html">setInitialValues()</a></code>,
@@ -184,7 +197,8 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
 <code><a href="setPredKernel.html">setPredKernel()</a></code>,
 <code><a href="setReproduction.html">setReproduction()</a></code>,
 <code><a href="setSearchVolume.html">setSearchVolume()</a></code>,
-<code><a href="species_params.html">species_params()</a></code></p></div>
+<code><a href="species_params.html">species_params()</a></code>,
+<code><a href="use_predation_diffusion.html">use_predation_diffusion()</a></code></p></div>
     </div>
 
     <div class="section level2">
diff --git a/docs/reference/setFishing.html b/docs/reference/setFishing.html
index 03b2e3676..3ae2e3029 100644
--- a/docs/reference/setFishing.html
+++ b/docs/reference/setFishing.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Set fishing parameters — setFishing"><meta name="description" content="Set fishing parameters"><meta property="og:description" content="Set fishing parameters"><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Set fishing parameters — setFishing"><meta name="description" content="Set fishing parameters"><meta property="og:description" content="Set fishing parameters"><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
 
 
@@ -13,7 +13,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -34,13 +34,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -50,7 +58,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -243,6 +252,7 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
     <div class="dont-index"><p><code><a href="gear_params.html">gear_params()</a></code></p>
 <p>Other functions for setting parameters:
 <code><a href="gear_params.html">gear_params()</a></code>,
+<code><a href="setExtDiffusion.html">setExtDiffusion()</a></code>,
 <code><a href="setExtEncounter.html">setExtEncounter()</a></code>,
 <code><a href="setExtMort.html">setExtMort()</a></code>,
 <code><a href="setInitialValues.html">setInitialValues()</a></code>,
@@ -253,7 +263,8 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
 <code><a href="setPredKernel.html">setPredKernel()</a></code>,
 <code><a href="setReproduction.html">setReproduction()</a></code>,
 <code><a href="setSearchVolume.html">setSearchVolume()</a></code>,
-<code><a href="species_params.html">species_params()</a></code></p></div>
+<code><a href="species_params.html">species_params()</a></code>,
+<code><a href="use_predation_diffusion.html">use_predation_diffusion()</a></code></p></div>
     </div>
 
     <div class="section level2">
diff --git a/docs/reference/setInitialValues.html b/docs/reference/setInitialValues.html
index 1b2506d89..aa801a491 100644
--- a/docs/reference/setInitialValues.html
+++ b/docs/reference/setInitialValues.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Set initial values to values from a simulation — setInitialValues"><meta name="description" content="This is used to use the results from one simulation as the starting values
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Set initial values to values from a simulation — setInitialValues"><meta name="description" content="This is used to use the results from one simulation as the starting values
 for another simulation."><meta property="og:description" content="This is used to use the results from one simulation as the starting values
 for another simulation."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
@@ -15,7 +15,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -36,13 +36,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -52,7 +60,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -82,7 +91,7 @@
 
     <div class="section level2">
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">setInitialValues</span><span class="op">(</span><span class="va">params</span>, <span class="va">sim</span>, <span class="va">time_range</span>, geometric_mean <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span></span></code></pre></div>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">setInitialValues</span><span class="op">(</span><span class="va">params</span>, <span class="va">sim</span>, <span class="va">time_range</span>, geometric_mean <span class="op">=</span> <span class="cn">FALSE</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
     </div>
 
     <div class="section level2">
@@ -111,6 +120,10 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 does not affect the average of the effort or of other components, which is
 always arithmetic.</p></dd>
 
+
+<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
+<dd><p>Additional arguments passed to the method.</p></dd>
+
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
@@ -141,6 +154,7 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
     <div class="dont-index"><p>Other functions for setting parameters:
 <code><a href="gear_params.html">gear_params()</a></code>,
+<code><a href="setExtDiffusion.html">setExtDiffusion()</a></code>,
 <code><a href="setExtEncounter.html">setExtEncounter()</a></code>,
 <code><a href="setExtMort.html">setExtMort()</a></code>,
 <code><a href="setFishing.html">setFishing()</a></code>,
@@ -151,7 +165,8 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
 <code><a href="setPredKernel.html">setPredKernel()</a></code>,
 <code><a href="setReproduction.html">setReproduction()</a></code>,
 <code><a href="setSearchVolume.html">setSearchVolume()</a></code>,
-<code><a href="species_params.html">species_params()</a></code></p></div>
+<code><a href="species_params.html">species_params()</a></code>,
+<code><a href="use_predation_diffusion.html">use_predation_diffusion()</a></code></p></div>
     </div>
 
     <div class="section level2">
diff --git a/docs/reference/setInteraction.html b/docs/reference/setInteraction.html
index 602413c17..a8611c03d 100644
--- a/docs/reference/setInteraction.html
+++ b/docs/reference/setInteraction.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Set species interaction matrix — setInteraction"><meta name="description" content="Set species interaction matrix"><meta property="og:description" content="Set species interaction matrix"><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Set species interaction matrix — setInteraction"><meta name="description" content="Set species interaction matrix"><meta property="og:description" content="Set species interaction matrix"><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
 
 
@@ -13,7 +13,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -34,13 +34,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -50,7 +58,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -79,7 +88,7 @@
 
     <div class="section level2">
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">setInteraction</span><span class="op">(</span><span class="va">params</span>, interaction <span class="op">=</span> <span class="cn">NULL</span><span class="op">)</span></span>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">setInteraction</span><span class="op">(</span><span class="va">params</span>, interaction <span class="op">=</span> <span class="cn">NULL</span>, <span class="va">...</span><span class="op">)</span></span>
 <span></span>
 <span><span class="fu">interaction_matrix</span><span class="op">(</span><span class="va">params</span><span class="op">)</span></span>
 <span></span>
@@ -100,6 +109,10 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 interaction matrix" section below.</p></dd>
 
 
+<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
+<dd><p>Unused</p></dd>
+
+
 <dt id="arg-value">value<a class="anchor" aria-label="anchor" href="#arg-value"></a></dt>
 <dd><p>An interaction matrix</p></dd>
 
@@ -137,7 +150,9 @@ <h2 id="setting-interaction-matrix">Setting interaction matrix<a class="anchor"
 <p>The order of the columns and rows of the <code>interaction</code> argument should be
 the same as the order in the species params data frame in the <code>params</code>
 object. If you supply a named array then the function will check the order
-and warn if it is different. One way of creating your own interaction
+and message if it is different before ignoring the supplied dimnames. If
+you supply only column names then these are also used as the row names. One
+way of creating your own interaction
 matrix is to enter the data using a spreadsheet program and saving it as a
 .csv file. The data can then be read into R using the command <code><a href="https://rdrr.io/r/utils/read.table.html" class="external-link">read.csv()</a></code>.</p>
 <p>The interaction of the species with the resource are set via a column
@@ -148,6 +163,7 @@ <h2 id="setting-interaction-matrix">Setting interaction matrix<a class="anchor"
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
     <div class="dont-index"><p>Other functions for setting parameters:
 <code><a href="gear_params.html">gear_params()</a></code>,
+<code><a href="setExtDiffusion.html">setExtDiffusion()</a></code>,
 <code><a href="setExtEncounter.html">setExtEncounter()</a></code>,
 <code><a href="setExtMort.html">setExtMort()</a></code>,
 <code><a href="setFishing.html">setFishing()</a></code>,
@@ -158,7 +174,8 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
 <code><a href="setPredKernel.html">setPredKernel()</a></code>,
 <code><a href="setReproduction.html">setReproduction()</a></code>,
 <code><a href="setSearchVolume.html">setSearchVolume()</a></code>,
-<code><a href="species_params.html">species_params()</a></code></p></div>
+<code><a href="species_params.html">species_params()</a></code>,
+<code><a href="use_predation_diffusion.html">use_predation_diffusion()</a></code></p></div>
     </div>
 
     <div class="section level2">
diff --git a/docs/reference/setMaxIntakeRate.html b/docs/reference/setMaxIntakeRate.html
index a31907150..3b430c15b 100644
--- a/docs/reference/setMaxIntakeRate.html
+++ b/docs/reference/setMaxIntakeRate.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Set maximum intake rate — setMaxIntakeRate"><meta name="description" content="Set maximum intake rate"><meta property="og:description" content="Set maximum intake rate"><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Set maximum intake rate — setMaxIntakeRate"><meta name="description" content="Set maximum intake rate"><meta property="og:description" content="Set maximum intake rate"><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
 
 
@@ -13,7 +13,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -34,13 +34,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -50,7 +58,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -121,10 +130,10 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    <p><code><a href="setReproduction.html">setReproduction()</a></code>: A MizerParams object with updated maximum
+    <p><code>setMaxIntakeRate()</code>: A MizerParams object with updated maximum
 intake rate.</p>
-<p><code>getMaxIntakeRate()</code> or equivalently <code>intake_max()</code>: An array
-(species x size) with the maximum intake rate.</p>
+<p><code>getMaxIntakeRate()</code> or equivalently <code>intake_max()</code>: A
+<code>ArraySpeciesBySize</code> object (species x size) with the maximum intake rate.</p>
     </div>
     <div class="section level2">
     <h2 id="setting-maximum-intake-rate">Setting maximum intake rate<a class="anchor" aria-label="anchor" href="#setting-maximum-intake-rate"></a></h2>
@@ -139,14 +148,19 @@ <h2 id="setting-maximum-intake-rate">Setting maximum intake rate<a class="anchor
 gram) and \(n_i\) (the allometric exponent for the intake rate) are taken
 from the <code>h</code> and <code>n</code> columns in the species parameter dataframe. If
 the <code>h</code> column is not supplied in the species parameter dataframe, it is
-calculated by the <code><a href="get_h_default.html">get_h_default()</a></code> function.</p>
+calculated by the <code><a href="get_h_default.html">get_h_default()</a></code> function. If the <code>n</code> column is not
+supplied, a default of \(n_i = 3/4\) is used.</p>
 <p>If \(h_i\) is set to <code>Inf</code>, fish of species i will consume all encountered
 food.</p>
+<p>If the <code>intake_max</code> slot has a comment and <code>reset = FALSE</code>, then a
+recalculation from the species parameters is suppressed and a message is
+issued if the recalculated values would differ from the stored ones.</p>
     </div>
     <div class="section level2">
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
     <div class="dont-index"><p>Other functions for setting parameters:
 <code><a href="gear_params.html">gear_params()</a></code>,
+<code><a href="setExtDiffusion.html">setExtDiffusion()</a></code>,
 <code><a href="setExtEncounter.html">setExtEncounter()</a></code>,
 <code><a href="setExtMort.html">setExtMort()</a></code>,
 <code><a href="setFishing.html">setFishing()</a></code>,
@@ -157,7 +171,8 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
 <code><a href="setPredKernel.html">setPredKernel()</a></code>,
 <code><a href="setReproduction.html">setReproduction()</a></code>,
 <code><a href="setSearchVolume.html">setSearchVolume()</a></code>,
-<code><a href="species_params.html">species_params()</a></code></p></div>
+<code><a href="species_params.html">species_params()</a></code>,
+<code><a href="use_predation_diffusion.html">use_predation_diffusion()</a></code></p></div>
     </div>
 
   </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
diff --git a/docs/reference/setMetabolicRate.html b/docs/reference/setMetabolicRate.html
index 11a238f03..21058f732 100644
--- a/docs/reference/setMetabolicRate.html
+++ b/docs/reference/setMetabolicRate.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Set metabolic rate — setMetabolicRate"><meta name="description" content="Sets the rate at which energy is used for metabolism and activity"><meta property="og:description" content="Sets the rate at which energy is used for metabolism and activity"><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Set metabolic rate — setMetabolicRate"><meta name="description" content="Sets the rate at which energy is used for metabolism and activity"><meta property="og:description" content="Sets the rate at which energy is used for metabolism and activity"><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
 
 
@@ -13,7 +13,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -34,13 +34,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -50,7 +58,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -79,7 +88,7 @@
 
     <div class="section level2">
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">setMetabolicRate</span><span class="op">(</span><span class="va">params</span>, metab <span class="op">=</span> <span class="cn">NULL</span>, p <span class="op">=</span> <span class="cn">NULL</span>, reset <span class="op">=</span> <span class="cn">FALSE</span>, <span class="va">...</span><span class="op">)</span></span>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">setMetabolicRate</span><span class="op">(</span><span class="va">object</span>, metab <span class="op">=</span> <span class="cn">NULL</span>, p <span class="op">=</span> <span class="cn">NULL</span>, reset <span class="op">=</span> <span class="cn">FALSE</span>, <span class="va">...</span><span class="op">)</span></span>
 <span></span>
 <span><span class="fu">getMetabolicRate</span><span class="op">(</span><span class="va">params</span><span class="op">)</span></span>
 <span></span>
@@ -92,8 +101,8 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
 
 
-<dl><dt id="arg-params">params<a class="anchor" aria-label="anchor" href="#arg-params"></a></dt>
-<dd><p>MizerParams</p></dd>
+<dl><dt id="arg-object">object<a class="anchor" aria-label="anchor" href="#arg-object"></a></dt>
+<dd><p>A MizerParams object</p></dd>
 
 
 <dt id="arg-metab">metab<a class="anchor" aria-label="anchor" href="#arg-metab"></a></dt>
@@ -121,6 +130,10 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 <dd><p>Unused</p></dd>
 
 
+<dt id="arg-params">params<a class="anchor" aria-label="anchor" href="#arg-params"></a></dt>
+<dd><p>A MizerParams object</p></dd>
+
+
 <dt id="arg-value">value<a class="anchor" aria-label="anchor" href="#arg-value"></a></dt>
 <dd><p>metab</p></dd>
 
@@ -128,8 +141,8 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
     <p><code>setMetabolicRate()</code>: A MizerParams object with updated metabolic rate.</p>
-<p><code>getMetabolicRate()</code> or equivalently <code>metab()</code>: An array
-(species x size) with the metabolic rate.</p>
+<p><code>getMetabolicRate()</code> or equivalently <code>metab()</code>: A
+<code>ArraySpeciesBySize</code> object (species x size) with the metabolic rate.</p>
     </div>
     <div class="section level2">
     <h2 id="setting-metabolic-rate">Setting metabolic rate<a class="anchor" aria-label="anchor" href="#setting-metabolic-rate"></a></h2>
@@ -145,16 +158,20 @@ <h2 id="setting-metabolic-rate">Setting metabolic rate<a class="anchor" aria-lab
 is the rate at which energy is expended on activity and movement. The values
 of \(k_s\), \(p\) and \(k\) are taken from the <code>ks</code>, <code>p</code> and
 <code>k</code> columns in the species parameter dataframe. If any of these
-parameters are not supplied, the defaults are \(k = 0\), \(p = n\) and
+parameters are not supplied, the defaults are \(k = 0\), \(p = 3/4\) and
 $$k_s = f_c h \alpha w_{mat}^{n-p},$$
 where \(f_c\) is the critical feeding level taken from the <code>fc</code> column
 in the species parameter data frame. If the critical feeding level is not
 specified, a default of \(f_c = 0.2\) is used.</p>
+<p>If the <code>metab</code> slot has a comment and <code>reset = FALSE</code>, then a recalculation
+from the species parameters is suppressed and a message is issued if the
+recalculated values would differ from the stored ones.</p>
     </div>
     <div class="section level2">
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
     <div class="dont-index"><p>Other functions for setting parameters:
 <code><a href="gear_params.html">gear_params()</a></code>,
+<code><a href="setExtDiffusion.html">setExtDiffusion()</a></code>,
 <code><a href="setExtEncounter.html">setExtEncounter()</a></code>,
 <code><a href="setExtMort.html">setExtMort()</a></code>,
 <code><a href="setFishing.html">setFishing()</a></code>,
@@ -165,7 +182,8 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
 <code><a href="setPredKernel.html">setPredKernel()</a></code>,
 <code><a href="setReproduction.html">setReproduction()</a></code>,
 <code><a href="setSearchVolume.html">setSearchVolume()</a></code>,
-<code><a href="species_params.html">species_params()</a></code></p></div>
+<code><a href="species_params.html">species_params()</a></code>,
+<code><a href="use_predation_diffusion.html">use_predation_diffusion()</a></code></p></div>
     </div>
 
   </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
diff --git a/docs/reference/setMetadata.html b/docs/reference/setMetadata.html
index 97a305009..b24ff3dee 100644
--- a/docs/reference/setMetadata.html
+++ b/docs/reference/setMetadata.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Set metadata for a model — setMetadata"><meta name="description" content="
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Set metadata for a model — setMetadata"><meta name="description" content="
 Setting metadata is particularly important for sharing your model with
 others. All metadata fields are optional and you can also add other fields
 of your own choosing. If you set a value
@@ -21,7 +21,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -42,13 +42,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -58,7 +66,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -91,7 +100,15 @@
 
     <div class="section level2">
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">setMetadata</span><span class="op">(</span><span class="va">params</span>, <span class="va">title</span>, <span class="va">description</span>, <span class="va">authors</span>, <span class="va">url</span>, <span class="va">doi</span>, <span class="va">...</span><span class="op">)</span></span>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">setMetadata</span><span class="op">(</span></span>
+<span>  <span class="va">params</span>,</span>
+<span>  title <span class="op">=</span> <span class="cn">NULL</span>,</span>
+<span>  description <span class="op">=</span> <span class="cn">NULL</span>,</span>
+<span>  authors <span class="op">=</span> <span class="cn">NULL</span>,</span>
+<span>  url <span class="op">=</span> <span class="cn">NULL</span>,</span>
+<span>  doi <span class="op">=</span> <span class="cn">NULL</span>,</span>
+<span>  <span class="va">...</span></span>
+<span><span class="op">)</span></span>
 <span></span>
 <span><span class="fu">getMetadata</span><span class="op">(</span><span class="va">params</span><span class="op">)</span></span></code></pre></div>
     </div>
diff --git a/docs/reference/setParams.html b/docs/reference/setParams.html
index ddda658fa..7e9ba53e0 100644
--- a/docs/reference/setParams.html
+++ b/docs/reference/setParams.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Set or change any model parameters — setParams"><meta name="description" content="This is a convenient wrapper function calling each of the following
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Set or change any model parameters — setParams"><meta name="description" content="This is a convenient wrapper function calling each of the following
 functions
 setPredKernel()
 setSearchVolume()
@@ -35,7 +35,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -56,13 +56,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -72,7 +80,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -111,14 +120,14 @@
 
     <div class="section level2">
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">setParams</span><span class="op">(</span><span class="va">params</span>, interaction <span class="op">=</span> <span class="cn">NULL</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">setParams</span><span class="op">(</span><span class="va">object</span>, interaction <span class="op">=</span> <span class="cn">NULL</span>, info_level <span class="op">=</span> <span class="fl">3</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
     </div>
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
 
 
-<dl><dt id="arg-params">params<a class="anchor" aria-label="anchor" href="#arg-params"></a></dt>
+<dl><dt id="arg-object">object<a class="anchor" aria-label="anchor" href="#arg-object"></a></dt>
 <dd><p>A <a href="MizerParams-class.html">MizerParams</a> object</p></dd>
 
 
@@ -128,13 +137,24 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 interaction matrix" section below.</p></dd>
 
 
+<dt id="arg-info-level">info_level<a class="anchor" aria-label="anchor" href="#arg-info-level"></a></dt>
+<dd><p>Controls the amount of information messages that are shown.
+Higher levels lead to more messages.</p></dd>
+
+
 <dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
-<dd><p>Arguments passed on to <code><a href="setPredKernel.html">setPredKernel</a></code>, <code><a href="setSearchVolume.html">setSearchVolume</a></code>, <code><a href="setMaxIntakeRate.html">setMaxIntakeRate</a></code>, <code><a href="setMetabolicRate.html">setMetabolicRate</a></code>, <code><a href="setExtMort.html">setExtMort</a></code>, <code><a href="setReproduction.html">setReproduction</a></code>, <code><a href="setFishing.html">setFishing</a></code></p><dl><dt><code>pred_kernel</code></dt>
+<dd><p>Arguments passed on to <code><a href="setPredKernel.html">setPredKernel</a></code>, <code><a href="setSearchVolume.html">setSearchVolume</a></code>, <code><a href="setMaxIntakeRate.html">setMaxIntakeRate</a></code>, <code><a href="setMetabolicRate.html">setMetabolicRate</a></code>, <code><a href="setExtMort.html">setExtMort</a></code>, <code><a href="setExtEncounter.html">setExtEncounter</a></code>, <code><a href="setReproduction.html">setReproduction</a></code>, <code><a href="setFishing.html">setFishing</a></code></p><dl><dt><code>params</code></dt>
+<dd><p>A MizerParams object</p></dd>
+
+    <dt><code>pred_kernel</code></dt>
 <dd><p>Optional. An array (species x predator size x prey size)
 that holds the predation coefficient of each predator at size on each prey
 size. If not supplied, a default is set as described in section "Setting
 predation kernel".</p></dd>
 
+    <dt><code>value</code></dt>
+<dd><p>pred_kernel</p></dd>
+
     <dt><code>search_vol</code></dt>
 <dd><p>Optional. An array (species x size) holding the search volume
 for each species at size. If not supplied, a default is set as described in
@@ -174,6 +194,12 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 <dd><p><a href="https://lifecycle.r-lib.org/articles/stages.html#deprecated" class="external-link"><img src="figures/lifecycle-deprecated.svg" alt="[Deprecated]"></a> Use <code>ext_mort</code> instead. Not to
 be confused with the species_parameter <code>z0</code>.</p></dd>
 
+    <dt><code>ext_encounter</code></dt>
+<dd><p>Optional. An array (species x size) holding the external
+encounter rate.  If not supplied, a default is calculated from the <code>E_ext</code>
+and <code>n</code> species parameters as described in the section "Setting external
+encounter rate".</p></dd>
+
     <dt><code>maturity</code></dt>
 <dd><p>Optional. An array (species x size) that holds the proportion
 of individuals of each species at size that are mature. If not supplied, a
@@ -181,9 +207,10 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 
     <dt><code>repro_prop</code></dt>
 <dd><p>Optional. An array (species x size) that holds the
-proportion of consumed energy that a mature individual allocates to
-reproduction for each species at size. If not supplied, a default is set as
-described in the section "Setting reproduction".</p></dd>
+proportion of the energy available for growth and reproduction that a mature
+individual allocates to reproduction for each species at size. If not
+supplied, a default is set as described in the section "Setting
+reproduction".</p></dd>
 
     <dt><code>RDD</code></dt>
 <dd><p>The name of the function calculating the density-dependent
@@ -290,7 +317,9 @@ <h2 id="setting-interaction-matrix">Setting interaction matrix<a class="anchor"
 <p>The order of the columns and rows of the <code>interaction</code> argument should be
 the same as the order in the species params data frame in the <code>params</code>
 object. If you supply a named array then the function will check the order
-and warn if it is different. One way of creating your own interaction
+and message if it is different before ignoring the supplied dimnames. If
+you supply only column names then these are also used as the row names. One
+way of creating your own interaction
 matrix is to enter the data using a spreadsheet program and saving it as a
 .csv file. The data can then be read into R using the command <code><a href="https://rdrr.io/r/utils/read.table.html" class="external-link">read.csv()</a></code>.</p>
 <p>The interaction of the species with the resource are set via a column
@@ -363,9 +392,13 @@ <h2 id="setting-search-volume">Setting search volume<a class="anchor" aria-label
 allometric exponent of the search volume) are taken from the <code>gamma</code> and
 <code>q</code> columns in the species parameter dataframe. If the <code>gamma</code>
 column is not supplied in the species parameter dataframe, a default is
-calculated by the <code><a href="get_gamma_default.html">get_gamma_default()</a></code> function. Note that only
+calculated by the <code><a href="get_gamma_default.html">get_gamma_default()</a></code> function. If the <code>q</code> column is not
+supplied, a default of <code>lambda - 2 + n</code> is used. Note that only
 for predators of size \(w = 1\) gram is the value of the species parameter
 \(\gamma_i\) the same as the value of the search volume \(\gamma_i(w)\).</p>
+<p>If the <code>search_vol</code> slot has a comment and <code>reset = FALSE</code>, then a
+recalculation from the species parameters is suppressed and a message is
+issued if the recalculated values would differ from the stored ones.</p>
     </div>
     <div class="section level2">
     <h2 id="setting-maximum-intake-rate">Setting maximum intake rate<a class="anchor" aria-label="anchor" href="#setting-maximum-intake-rate"></a></h2>
@@ -380,9 +413,13 @@ <h2 id="setting-maximum-intake-rate">Setting maximum intake rate<a class="anchor
 gram) and \(n_i\) (the allometric exponent for the intake rate) are taken
 from the <code>h</code> and <code>n</code> columns in the species parameter dataframe. If
 the <code>h</code> column is not supplied in the species parameter dataframe, it is
-calculated by the <code><a href="get_h_default.html">get_h_default()</a></code> function.</p>
+calculated by the <code><a href="get_h_default.html">get_h_default()</a></code> function. If the <code>n</code> column is not
+supplied, a default of \(n_i = 3/4\) is used.</p>
 <p>If \(h_i\) is set to <code>Inf</code>, fish of species i will consume all encountered
 food.</p>
+<p>If the <code>intake_max</code> slot has a comment and <code>reset = FALSE</code>, then a
+recalculation from the species parameters is suppressed and a message is
+issued if the recalculated values would differ from the stored ones.</p>
     </div>
     <div class="section level2">
     <h2 id="setting-metabolic-rate">Setting metabolic rate<a class="anchor" aria-label="anchor" href="#setting-metabolic-rate"></a></h2>
@@ -398,11 +435,14 @@ <h2 id="setting-metabolic-rate">Setting metabolic rate<a class="anchor" aria-lab
 is the rate at which energy is expended on activity and movement. The values
 of \(k_s\), \(p\) and \(k\) are taken from the <code>ks</code>, <code>p</code> and
 <code>k</code> columns in the species parameter dataframe. If any of these
-parameters are not supplied, the defaults are \(k = 0\), \(p = n\) and
+parameters are not supplied, the defaults are \(k = 0\), \(p = 3/4\) and
 $$k_s = f_c h \alpha w_{mat}^{n-p},$$
 where \(f_c\) is the critical feeding level taken from the <code>fc</code> column
 in the species parameter data frame. If the critical feeding level is not
 specified, a default of \(f_c = 0.2\) is used.</p>
+<p>If the <code>metab</code> slot has a comment and <code>reset = FALSE</code>, then a recalculation
+from the species parameters is suppressed and a message is issued if the
+recalculated values would differ from the stored ones.</p>
     </div>
     <div class="section level2">
     <h2 id="setting-external-mortality-rate">Setting external mortality rate<a class="anchor" aria-label="anchor" href="#setting-external-mortality-rate"></a></h2>
@@ -417,11 +457,14 @@ <h2 id="setting-external-mortality-rate">Setting external mortality rate<a class
 that depends on species and body size. You can see an example of this in
 the Examples section of the help page for <code><a href="setExtMort.html">setExtMort()</a></code>.</p>
 <p>If the <code>ext_mort</code> argument is not supplied, then the external mortality is
-assumed to depend only on the species, not on the size of the individual:
-\(\mu_{ext.i}(w) = z_{0.i}\). The value of the constant \(z_0\) for each
-species is taken from the <code>z0</code> column of the species parameter data frame, if
-that column exists. Otherwise it is calculated as
-$$z_{0.i} = {\tt z0pre}_i\, w_{inf}^{\tt z0exp}.$$</p>
+taken from the species parameters as
+$$\mu_{ext.i}(w) = z_{0.i} + z_{ext.i} w^{d_i}.$$
+The value of the constant \(z_0\) for each species is taken from the <code>z0</code>
+column of the species parameter data frame, if that column exists.
+Otherwise it is calculated as
+$$z_{0.i} = {\tt z0pre}_i\, w_{inf}^{\tt z0exp}.$$
+Missing values of <code>z_ext</code> are set to 0 and missing values of <code>d</code> are set to
+<code>n - 1</code>.</p>
     </div>
     <div class="section level2">
     <h2 id="setting-external-encounter-rate">Setting external encounter rate<a class="anchor" aria-label="anchor" href="#setting-external-encounter-rate"></a></h2>
@@ -432,6 +475,34 @@ <h2 id="setting-external-encounter-rate">Setting external encounter rate<a class
 <p>The <code>ext_encounter</code> argument allows you to specify an external encounter rate
 that depends on species and body size. You can see an example of this in
 the Examples section of the help page for <code><a href="setExtEncounter.html">setExtEncounter()</a></code>.</p>
+<p>If the <code>ext_encounter</code> argument is not supplied, then the external encounter
+rate is calculated as a power law:
+$$E_{ext.i}(w) = E_{ext.i}\, w^{n_i}.$$
+The coefficient \(E_{ext.i}\) is taken from the <code>E_ext</code> column of the
+species parameter data frame, which defaults to 0. The exponent \(n_i\) is
+taken from the <code>n</code> column of the species parameter data frame.</p>
+<p>If the <code>ext_encounter</code> slot has a comment and <code>reset = FALSE</code>, then a
+recalculation from the species parameters is suppressed and a message is
+issued if the recalculated values would differ from the stored ones.</p>
+    </div>
+    <div class="section level2">
+    <h2 id="setting-external-diffusion-rate">Setting external diffusion rate<a class="anchor" aria-label="anchor" href="#setting-external-diffusion-rate"></a></h2>
+
+
+<p>The external diffusion rate allows you to impose additional diffusion of
+abundance density over body size beyond the predation-driven diffusion
+computed by <code><a href="mizerDiffusion.html">mizerDiffusion()</a></code>.</p>
+<p>The <code>ext_diffusion</code> argument allows you to specify a diffusion rate that
+depends on species and body size.</p>
+<p>If the <code>ext_diffusion</code> argument is not supplied, then the external diffusion
+rate is calculated as a power law:
+$$D_{ext.i}(w) = D_{ext.i}\, w^{n_i+1}.$$
+The coefficient \(D_{ext.i}\) is taken from the <code>D_ext</code> column of the
+species parameter data frame, which defaults to 0. The exponent
+\(n_i + 1\) uses the <code>n</code> column of the species parameter data frame.</p>
+<p>If the <code>ext_diffusion</code> slot has a comment and <code>reset = FALSE</code>, then a
+recalculation from the species parameters is suppressed and a message is
+issued if the recalculated values would differ from the stored ones.</p>
     </div>
     <div class="section level2">
     <h2 id="setting-reproduction">Setting reproduction<a class="anchor" aria-label="anchor" href="#setting-reproduction"></a></h2>
@@ -465,10 +536,8 @@ <h3 id="maturity-ogive">Maturity ogive<a class="anchor" aria-label="anchor" href
 specifies the weight at which 25% of individuals are mature, which sets
 \(U = \log(3) / \log(w_{mat} / w_{mat25}).\)</p>
 <p>The sigmoidal function given above would strictly reach 1 only
-asymptotically. Mizer instead sets the function equal to 1 already at a size
-taken from the <code>w_repro_max</code> column in the species parameter data frame, if it
-exists, or otherwise from the <code>w_max</code> column. Also, for computational
-simplicity, any proportion smaller than <code>1e-8</code> is set to <code>0</code>.</p>
+asymptotically. For computational simplicity, any proportion smaller than
+<code>1e-8</code> is set to <code>0</code>.</p>
 </div>
 
 <div class="section">
@@ -476,7 +545,8 @@ <h3 id="investment-into-reproduction">Investment into reproduction<a class="anch
 <p>If the the energy available to a mature individual that is
 invested into reproduction is not supplied via the <code>repro_prop</code> argument,
 it is set to the allometric form
-$${\tt repro\_prop}(w) = \left(\frac{w}{w_{\tt{repro\_max}}}\right)^{m-n}.$$
+$${\tt repro\_prop}(w) =
+  \left(\frac{w}{w_{\tt{repro\_max}}}\right)^{m-n}.$$
 Here \(n\) is the scaling exponent of the energy income rate. Hence
 the exponent \(m\) determines the scaling of the investment into
 reproduction for mature individuals. By default it is chosen to be
@@ -487,7 +557,12 @@ <h3 id="investment-into-reproduction">Investment into reproduction<a class="anch
 exists, or otherwise from the <code>w_max</code> column.</p>
 <p>The total proportion of energy invested into reproduction of an individual
 of size \(w\) is then
-$$\psi(w) = {\tt maturity}(w){\tt repro\_prop}(w)$$</p>
+$$\psi(w) = {\tt maturity}(w){\tt repro\_prop}(w)$$
+In mizer edition 1, at sizes above <code>w_repro_max</code> the value of \(\psi\)
+is additionally forced to 1, so that all available energy is invested into
+reproduction and growth stops. In edition 2 and above this forcing is not
+applied, and \(\psi\) is determined entirely by the maturity ogive and the
+reproductive proportion.</p>
 </div>
 
 <div class="section">
@@ -610,6 +685,7 @@ <h2 id="setting-fishing">Setting fishing<a class="anchor" aria-label="anchor" hr
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
     <div class="dont-index"><p>Other functions for setting parameters:
 <code><a href="gear_params.html">gear_params()</a></code>,
+<code><a href="setExtDiffusion.html">setExtDiffusion()</a></code>,
 <code><a href="setExtEncounter.html">setExtEncounter()</a></code>,
 <code><a href="setExtMort.html">setExtMort()</a></code>,
 <code><a href="setFishing.html">setFishing()</a></code>,
@@ -620,7 +696,8 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
 <code><a href="setPredKernel.html">setPredKernel()</a></code>,
 <code><a href="setReproduction.html">setReproduction()</a></code>,
 <code><a href="setSearchVolume.html">setSearchVolume()</a></code>,
-<code><a href="species_params.html">species_params()</a></code></p></div>
+<code><a href="species_params.html">species_params()</a></code>,
+<code><a href="use_predation_diffusion.html">use_predation_diffusion()</a></code></p></div>
     </div>
 
   </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
diff --git a/docs/reference/setPredKernel.html b/docs/reference/setPredKernel.html
index be052c6a0..d60d2398a 100644
--- a/docs/reference/setPredKernel.html
+++ b/docs/reference/setPredKernel.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Set predation kernel — setPredKernel"><meta name="description" content="The predation kernel determines the distribution of prey sizes that a
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Set predation kernel — setPredKernel"><meta name="description" content="The predation kernel determines the distribution of prey sizes that a
 predator feeds on. It is used in getEncounter() when calculating
 the rate at which food is encountered and in getPredRate() when
 calculating the rate at which a prey is predated upon. The predation kernel
@@ -25,7 +25,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -46,13 +46,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -62,7 +70,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -192,6 +201,7 @@ <h2 id="setting-predation-kernel">Setting predation kernel<a class="anchor" aria
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
     <div class="dont-index"><p>Other functions for setting parameters:
 <code><a href="gear_params.html">gear_params()</a></code>,
+<code><a href="setExtDiffusion.html">setExtDiffusion()</a></code>,
 <code><a href="setExtEncounter.html">setExtEncounter()</a></code>,
 <code><a href="setExtMort.html">setExtMort()</a></code>,
 <code><a href="setFishing.html">setFishing()</a></code>,
@@ -202,7 +212,8 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
 <code><a href="setParams.html">setParams()</a></code>,
 <code><a href="setReproduction.html">setReproduction()</a></code>,
 <code><a href="setSearchVolume.html">setSearchVolume()</a></code>,
-<code><a href="species_params.html">species_params()</a></code></p></div>
+<code><a href="species_params.html">species_params()</a></code>,
+<code><a href="use_predation_diffusion.html">use_predation_diffusion()</a></code></p></div>
     </div>
 
     <div class="section level2">
@@ -210,7 +221,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
     <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="co">## Set up a MizerParams object</span></span></span>
 <span class="r-in"><span><span class="va">params</span> <span class="op">&lt;-</span>  <span class="va">NS_params</span></span></span>
 <span class="r-in"><span></span></span>
-<span class="r-in"><span><span class="co">## If you change predation kernel parameters after setting up a model, </span></span></span>
+<span class="r-in"><span><span class="co">## If you change predation kernel parameters after setting up a model,</span></span></span>
 <span class="r-in"><span><span class="co">#  this will be used to recalculate the kernel</span></span></span>
 <span class="r-in"><span><span class="fu"><a href="species_params.html">species_params</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span><span class="op">[</span><span class="st">"Cod"</span>, <span class="st">"beta"</span><span class="op">]</span> <span class="op">&lt;-</span> <span class="fl">200</span></span></span>
 <span class="r-in"><span></span></span>
@@ -218,13 +229,13 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-in"><span><span class="fu"><a href="species_params.html">species_params</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span><span class="op">$</span><span class="va">ppmr_max</span> <span class="op">&lt;-</span> <span class="fl">4000</span></span></span>
 <span class="r-in"><span><span class="fu"><a href="species_params.html">species_params</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span><span class="op">$</span><span class="va">ppmr_min</span> <span class="op">&lt;-</span> <span class="fl">200</span></span></span>
 <span class="r-in"><span><span class="fu"><a href="species_params.html">species_params</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span><span class="op">$</span><span class="va">pred_kernel_type</span> <span class="op">&lt;-</span> <span class="st">"box"</span></span></span>
-<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span><span class="fu"><a href="w.html">w_full</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span>, <span class="fu">getPredKernel</span><span class="op">(</span><span class="va">params</span><span class="op">)</span><span class="op">[</span><span class="st">"Cod"</span>, <span class="fl">100</span>, <span class="op">]</span>, type<span class="op">=</span><span class="st">"l"</span>, log<span class="op">=</span><span class="st">"x"</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="fu"><a href="plot.html">plot</a></span><span class="op">(</span><span class="fu"><a href="w.html">w_full</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span>, <span class="fu">getPredKernel</span><span class="op">(</span><span class="va">params</span><span class="op">)</span><span class="op">[</span><span class="st">"Cod"</span>, <span class="fl">100</span>, <span class="op">]</span>, type<span class="op">=</span><span class="st">"l"</span>, log<span class="op">=</span><span class="st">"x"</span><span class="op">)</span></span></span>
 <span class="r-plt img"><img src="setPredKernel-1.png" alt="" width="700" height="433"></span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="co">## If you need a kernel that depends also on prey size you need to define</span></span></span>
 <span class="r-in"><span><span class="co"># it yourself.</span></span></span>
 <span class="r-in"><span><span class="va">pred_kernel</span> <span class="op">&lt;-</span> <span class="fu">getPredKernel</span><span class="op">(</span><span class="va">params</span><span class="op">)</span></span></span>
-<span class="r-in"><span><span class="va">pred_kernel</span><span class="op">[</span><span class="st">"Herring"</span>, , <span class="op">]</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/sweep.html" class="external-link">sweep</a></span><span class="op">(</span><span class="va">pred_kernel</span><span class="op">[</span><span class="st">"Herring"</span>, , <span class="op">]</span>, <span class="fl">2</span>, </span></span>
+<span class="r-in"><span><span class="va">pred_kernel</span><span class="op">[</span><span class="st">"Herring"</span>, , <span class="op">]</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/sweep.html" class="external-link">sweep</a></span><span class="op">(</span><span class="va">pred_kernel</span><span class="op">[</span><span class="st">"Herring"</span>, , <span class="op">]</span>, <span class="fl">2</span>,</span></span>
 <span class="r-in"><span>                                    <span class="va">params</span><span class="op">@</span><span class="va">w_full</span>, <span class="st">"*"</span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="va">params</span><span class="op">&lt;-</span> <span class="fu">setPredKernel</span><span class="op">(</span><span class="va">params</span>, pred_kernel <span class="op">=</span> <span class="va">pred_kernel</span><span class="op">)</span></span></span>
 </code></pre></div>
diff --git a/docs/reference/setRateFunction.html b/docs/reference/setRateFunction.html
index 69710dea3..041ba25e6 100644
--- a/docs/reference/setRateFunction.html
+++ b/docs/reference/setRateFunction.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Set own rate function to replace mizer rate function — setRateFunction"><meta name="description" content="If the way mizer calculates a fundamental rate entering the model is
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Set own rate function to replace mizer rate function — setRateFunction"><meta name="description" content="If the way mizer calculates a fundamental rate entering the model is
 not flexible enough for you (for example if you need to introduce time
 dependence) then you can write your own functions for calculating that
 rate and use setRateFunction() to register it with mizer."><meta property="og:description" content="If the way mizer calculates a fundamental rate entering the model is
@@ -19,7 +19,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -40,13 +40,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -56,7 +64,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -114,7 +123,8 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 
 
 <dt id="arg-value">value<a class="anchor" aria-label="anchor" href="#arg-value"></a></dt>
-<dd><p>Values for other parameters</p></dd>
+<dd><p>A named list of user-defined parameters to store in
+<code>other_params(params)</code>.</p></dd>
 
 </dl></div>
     <div class="section level2">
@@ -123,8 +133,9 @@ <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2
 <p>For <code>getRateFunction()</code>: The name of the registered rate function for
 the requested <code>rate</code>, or the list of all rate functions if called without
 <code>rate</code> argument.</p>
-<p>For <code>other_params()</code>: A named list with all the parameters for which
-you have set values.</p>
+<p>For <code>other_params()</code>: The user-defined parameters stored in
+<code>other_params(params)</code>, or <code>NULL</code> if none have been set. This excludes any
+component-specific parameters stored via <code><a href="setComponent.html">setComponent()</a></code>.</p>
     </div>
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
@@ -141,6 +152,7 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
 <li><p><code>e</code> from <code><a href="mizerEReproAndGrowth.html">mizerEReproAndGrowth()</a></code></p></li>
 <li><p><code>e_repro</code> from <code><a href="mizerERepro.html">mizerERepro()</a></code></p></li>
 <li><p><code>e_growth</code> from <code><a href="mizerEGrowth.html">mizerEGrowth()</a></code></p></li>
+<li><p><code>diffusion</code> from <code><a href="mizerDiffusion.html">mizerDiffusion()</a></code></p></li>
 <li><p><code>rdi</code> from <code><a href="mizerRDI.html">mizerRDI()</a></code></p></li>
 <li><p><code>rdd</code> from <code><a href="BevertonHoltRDD.html">BevertonHoltRDD()</a></code></p></li>
 </ul><p>For each of these you can substitute your own function. So for example if
@@ -162,6 +174,18 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
 environment or in a package. If they are defined within a function then
 mizer will not find them.</p>
     </div>
+    <div class="section level2">
+    <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
+    <div class="dont-index"><p>Other extension tools:
+<code><a href="NOther.html">NOther()</a></code>,
+<code><a href="clearExtensionChain.html">clearExtensionChain()</a></code>,
+<code><a href="coerceToExtensionClass.html">coerceToExtensionClass()</a></code>,
+<code><a href="getRegisteredExtensions.html">getRegisteredExtensions()</a></code>,
+<code><a href="initialNOther-set.html">initialNOther&lt;-()</a></code>,
+<code><a href="registerExtension.html">registerExtension()</a></code>,
+<code><a href="registerExtensions.html">registerExtensions()</a></code>,
+<code><a href="setComponent.html">setComponent()</a></code></p></div>
+    </div>
 
   </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
diff --git a/docs/reference/setReproduction.html b/docs/reference/setReproduction.html
index 341abbb61..0e08039a5 100644
--- a/docs/reference/setReproduction.html
+++ b/docs/reference/setReproduction.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Set reproduction parameters — setReproduction"><meta name="description" content="Sets the proportion of the total energy available for reproduction and growth
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Set reproduction parameters — setReproduction"><meta name="description" content="Sets the proportion of the total energy available for reproduction and growth
 that is invested into reproduction as a function of the size of the
 individual and sets additional density dependence."><meta property="og:description" content="Sets the proportion of the total energy available for reproduction and growth
 that is invested into reproduction as a function of the size of the
@@ -17,7 +17,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -38,13 +38,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -54,7 +62,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -123,9 +132,10 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 
 <dt id="arg-repro-prop">repro_prop<a class="anchor" aria-label="anchor" href="#arg-repro-prop"></a></dt>
 <dd><p>Optional. An array (species x size) that holds the
-proportion of consumed energy that a mature individual allocates to
-reproduction for each species at size. If not supplied, a default is set as
-described in the section "Setting reproduction".</p></dd>
+proportion of the energy available for growth and reproduction that a mature
+individual allocates to reproduction for each species at size. If not
+supplied, a default is set as described in the section "Setting
+reproduction".</p></dd>
 
 
 <dt id="arg-reset">reset<a class="anchor" aria-label="anchor" href="#arg-reset"></a></dt>
@@ -148,21 +158,22 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 
 
 <dt id="arg-value">value<a class="anchor" aria-label="anchor" href="#arg-value"></a></dt>
-<dd><p>.</p></dd>
+<dd><p>The desired new value for the respective parameter.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
     <p><code>setReproduction()</code>: A MizerParams object with updated reproduction
 parameters.</p>
-<p><code>getMaturityProportion()</code> or equivalently `maturity():
-An array (species x size) that holds the proportion
+<p><code>getMaturityProportion()</code> or equivalently <code>maturity()</code>:
+An <code>ArraySpeciesBySize</code> object (species x size) that holds the proportion
 of individuals of each species at size that are mature.</p>
 <p><code>getReproductionProportion()</code> or equivalently <code>repro_prop()</code>:
-An array (species x size) that holds the
-proportion of consumed energy that a mature individual allocates to
-reproduction for each species at size. For sizes where the maturity
-proportion is zero, also the reproduction proportion is returned as zero.</p>
+An <code>ArraySpeciesBySize</code> object (species x size) that holds the proportion
+of the energy available for growth and reproduction that a mature
+individual allocates to reproduction for each species at size. For sizes
+where the maturity proportion is zero, also the reproduction proportion is
+returned as zero.</p>
     </div>
     <div class="section level2">
     <h2 id="setting-reproduction">Setting reproduction<a class="anchor" aria-label="anchor" href="#setting-reproduction"></a></h2>
@@ -196,10 +207,8 @@ <h3 id="maturity-ogive">Maturity ogive<a class="anchor" aria-label="anchor" href
 specifies the weight at which 25% of individuals are mature, which sets
 \(U = \log(3) / \log(w_{mat} / w_{mat25}).\)</p>
 <p>The sigmoidal function given above would strictly reach 1 only
-asymptotically. Mizer instead sets the function equal to 1 already at a size
-taken from the <code>w_repro_max</code> column in the species parameter data frame, if it
-exists, or otherwise from the <code>w_max</code> column. Also, for computational
-simplicity, any proportion smaller than <code>1e-8</code> is set to <code>0</code>.</p>
+asymptotically. For computational simplicity, any proportion smaller than
+<code>1e-8</code> is set to <code>0</code>.</p>
 </div>
 
 <div class="section">
@@ -207,7 +216,8 @@ <h3 id="investment-into-reproduction">Investment into reproduction<a class="anch
 <p>If the the energy available to a mature individual that is
 invested into reproduction is not supplied via the <code>repro_prop</code> argument,
 it is set to the allometric form
-$${\tt repro\_prop}(w) = \left(\frac{w}{w_{\tt{repro\_max}}}\right)^{m-n}.$$
+$${\tt repro\_prop}(w) =
+  \left(\frac{w}{w_{\tt{repro\_max}}}\right)^{m-n}.$$
 Here \(n\) is the scaling exponent of the energy income rate. Hence
 the exponent \(m\) determines the scaling of the investment into
 reproduction for mature individuals. By default it is chosen to be
@@ -218,7 +228,12 @@ <h3 id="investment-into-reproduction">Investment into reproduction<a class="anch
 exists, or otherwise from the <code>w_max</code> column.</p>
 <p>The total proportion of energy invested into reproduction of an individual
 of size \(w\) is then
-$$\psi(w) = {\tt maturity}(w){\tt repro\_prop}(w)$$</p>
+$$\psi(w) = {\tt maturity}(w){\tt repro\_prop}(w)$$
+In mizer edition 1, at sizes above <code>w_repro_max</code> the value of \(\psi\)
+is additionally forced to 1, so that all available energy is invested into
+reproduction and growth stops. In edition 2 and above this forcing is not
+applied, and \(\psi\) is determined entirely by the maturity ogive and the
+reproductive proportion.</p>
 </div>
 
 <div class="section">
@@ -260,6 +275,7 @@ <h3 id="density-dependence">Density dependence<a class="anchor" aria-label="anch
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
     <div class="dont-index"><p>Other functions for setting parameters:
 <code><a href="gear_params.html">gear_params()</a></code>,
+<code><a href="setExtDiffusion.html">setExtDiffusion()</a></code>,
 <code><a href="setExtEncounter.html">setExtEncounter()</a></code>,
 <code><a href="setExtMort.html">setExtMort()</a></code>,
 <code><a href="setFishing.html">setFishing()</a></code>,
@@ -270,7 +286,8 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
 <code><a href="setParams.html">setParams()</a></code>,
 <code><a href="setPredKernel.html">setPredKernel()</a></code>,
 <code><a href="setSearchVolume.html">setSearchVolume()</a></code>,
-<code><a href="species_params.html">species_params()</a></code></p></div>
+<code><a href="species_params.html">species_params()</a></code>,
+<code><a href="use_predation_diffusion.html">use_predation_diffusion()</a></code></p></div>
     </div>
 
     <div class="section level2">
@@ -283,7 +300,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-in"><span>                 Reproduction <span class="op">=</span> <span class="va">repro_prop</span>,</span></span>
 <span class="r-in"><span>                 Maturity <span class="op">=</span> <span class="va">maturity</span>,</span></span>
 <span class="r-in"><span>                 Total <span class="op">=</span> <span class="va">maturity</span> <span class="op">*</span> <span class="va">repro_prop</span><span class="op">)</span></span></span>
-<span class="r-in"><span><span class="va">dff</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/reshape2/man/melt.html" class="external-link">melt</a></span><span class="op">(</span><span class="va">df</span>, id.vars <span class="op">=</span> <span class="st">"Size"</span>,</span></span>
+<span class="r-in"><span><span class="va">dff</span> <span class="op">&lt;-</span> <span class="fu">reshape2</span><span class="fu">::</span><span class="fu"><a href="https://rdrr.io/pkg/reshape2/man/melt.html" class="external-link">melt</a></span><span class="op">(</span><span class="va">df</span>, id.vars <span class="op">=</span> <span class="st">"Size"</span>,</span></span>
 <span class="r-in"><span>            variable.name <span class="op">=</span> <span class="st">"Type"</span>,</span></span>
 <span class="r-in"><span>            value.name <span class="op">=</span> <span class="st">"Proportion"</span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://ggplot2.tidyverse.org" class="external-link">ggplot2</a></span><span class="op">)</span></span></span>
diff --git a/docs/reference/setResource.html b/docs/reference/setResource.html
index c5e0d2285..952056db6 100644
--- a/docs/reference/setResource.html
+++ b/docs/reference/setResource.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Set resource dynamics — setResource"><meta name="description" content="Sets the intrinsic resource birth rate and the intrinsic resource carrying
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Set resource dynamics — setResource"><meta name="description" content="Sets the intrinsic resource birth rate and the intrinsic resource carrying
 capacity as well as the name of the function used to simulate the resource
 dynamics. By default, the birth rate and the carrying capacity are changed
 together in such a way that the resource replenishes at the same rate at
@@ -27,7 +27,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -48,13 +48,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -64,7 +72,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -106,12 +115,10 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 <span>  resource_capacity <span class="op">=</span> <span class="cn">NULL</span>,</span>
 <span>  resource_level <span class="op">=</span> <span class="cn">NULL</span>,</span>
 <span>  resource_dynamics <span class="op">=</span> <span class="cn">NULL</span>,</span>
-<span>  balance <span class="op">=</span> <span class="cn">NULL</span>,</span>
 <span>  lambda <span class="op">=</span> <span class="fu"><a href="resource_params.html">resource_params</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span><span class="op">[[</span><span class="st">"lambda"</span><span class="op">]</span><span class="op">]</span>,</span>
 <span>  n <span class="op">=</span> <span class="fu"><a href="resource_params.html">resource_params</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span><span class="op">[[</span><span class="st">"n"</span><span class="op">]</span><span class="op">]</span>,</span>
 <span>  w_pp_cutoff <span class="op">=</span> <span class="fu"><a href="resource_params.html">resource_params</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span><span class="op">[[</span><span class="st">"w_pp_cutoff"</span><span class="op">]</span><span class="op">]</span>,</span>
-<span>  r_pp <span class="op">=</span> <span class="fu">deprecated</span><span class="op">(</span><span class="op">)</span>,</span>
-<span>  kappa <span class="op">=</span> <span class="fu">deprecated</span><span class="op">(</span><span class="op">)</span>,</span>
+<span>  balance <span class="op">=</span> <span class="cn">NULL</span>,</span>
 <span>  <span class="va">...</span></span>
 <span><span class="op">)</span></span>
 <span></span>
@@ -151,13 +158,14 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 <dd><p>Optional. Vector of resource intrinsic carrying
 capacities or coefficient in the power-law for the capacity, see
 "Setting resource dynamics" below.
-The resource capacity must be larger than the resource abundance.</p></dd>
+The resource capacity must not be smaller than the resource abundance.</p></dd>
 
 
 <dt id="arg-resource-level">resource_level<a class="anchor" aria-label="anchor" href="#arg-resource-level"></a></dt>
 <dd><p>Optional. The ratio between the current resource number
 density and the resource capacity. Either a number used at all sizes or a
-vector specifying a value for each size. Must be strictly between 0 and 1,
+vector specifying a value for each size. Must be greater than 0 and at
+most 1,
 except at sizes where the resource is zero, where it can be <code>NaN</code>. This
 determines the resource capacity, so do not specify both this and
 <code>resource_capacity</code>.</p></dd>
@@ -169,14 +177,6 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 step from the current state.</p></dd>
 
 
-<dt id="arg-balance">balance<a class="anchor" aria-label="anchor" href="#arg-balance"></a></dt>
-<dd><p>By default, if possible, the resource parameters are
-set so that the resource replenishes at the same rate at which it is
-consumed. In this case you should only specify either the resource rate
-or the resource capacity (or resource level) because the other is then
-determined automatically. Set to FALSE if you do not want the balancing.</p></dd>
-
-
 <dt id="arg-lambda">lambda<a class="anchor" aria-label="anchor" href="#arg-lambda"></a></dt>
 <dd><p>Used to set power-law exponent for resource capacity if the
 <code>resource_capacity</code> argument is given as a single number.</p></dd>
@@ -190,20 +190,19 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 <dt id="arg-w-pp-cutoff">w_pp_cutoff<a class="anchor" aria-label="anchor" href="#arg-w-pp-cutoff"></a></dt>
 <dd><p>The upper cut off size of the resource spectrum power law
 used when <code>resource_capacity</code> is given as a single number. When changing
-<code>w_pp_cutoff</code> without providing <code>resource_capacity</code>, the cutoff can only
-be decreased. In that case, both the carrying capacity and the initial
-resource abundance will be cut off at the new value. To increase the cutoff,
-you must also provide the <code>resource_capacity</code> for the extended range.</p></dd>
-
-
-<dt id="arg-r-pp">r_pp<a class="anchor" aria-label="anchor" href="#arg-r-pp"></a></dt>
-<dd><p><a href="https://lifecycle.r-lib.org/articles/stages.html#deprecated" class="external-link"><img src="figures/lifecycle-deprecated.svg" alt="[Deprecated]"></a>. Use <code>resource_rate</code> argument
-instead.</p></dd>
+<code>w_pp_cutoff</code> without providing <code>resource_capacity</code>, the cutoff can only be
+decreased. In that case, both the carrying capacity and the initial
+resource abundance will be cut off at the new value. To increase the
+cutoff, you must also provide the <code>resource_capacity</code> for the extended
+range.</p></dd>
 
 
-<dt id="arg-kappa">kappa<a class="anchor" aria-label="anchor" href="#arg-kappa"></a></dt>
-<dd><p><a href="https://lifecycle.r-lib.org/articles/stages.html#deprecated" class="external-link"><img src="figures/lifecycle-deprecated.svg" alt="[Deprecated]"></a>. Use <code>resource_capacity</code>
-argument instead.</p></dd>
+<dt id="arg-balance">balance<a class="anchor" aria-label="anchor" href="#arg-balance"></a></dt>
+<dd><p>By default, if possible, the resource parameters are
+set so that the resource replenishes at the same rate at which it is
+consumed. In this case you should only specify either the resource rate
+or the resource capacity (or resource level) because the other is then
+determined automatically. Set to FALSE if you do not want the balancing.</p></dd>
 
 
 <dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
diff --git a/docs/reference/setRmax.html b/docs/reference/setRmax.html
index da251528d..25a949818 100644
--- a/docs/reference/setRmax.html
+++ b/docs/reference/setRmax.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Alias for setBevertonHolt() — setRmax"><meta name="description" content="
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Alias for setBevertonHolt() — setRmax"><meta name="description" content="
 An alias provided for backward compatibility with mizer version &amp;lt;= 2.0.4"><meta property="og:description" content="
 An alias provided for backward compatibility with mizer version &amp;lt;= 2.0.4"><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
@@ -15,7 +15,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -36,13 +36,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -52,7 +60,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -82,7 +91,7 @@
 
     <div class="section level2">
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">setRmax</span><span class="op">(</span><span class="va">params</span>, R_factor <span class="op">=</span> <span class="fu">deprecated</span><span class="op">(</span><span class="op">)</span>, <span class="va">erepro</span>, <span class="va">R_max</span>, <span class="va">reproduction_level</span><span class="op">)</span></span></code></pre></div>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">setRmax</span><span class="op">(</span><span class="va">params</span>, <span class="va">erepro</span>, <span class="va">R_max</span>, <span class="va">reproduction_level</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
     </div>
 
     <div class="section level2">
@@ -93,11 +102,6 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 <dd><p>A MizerParams object</p></dd>
 
 
-<dt id="arg-r-factor">R_factor<a class="anchor" aria-label="anchor" href="#arg-r-factor"></a></dt>
-<dd><p><a href="https://lifecycle.r-lib.org/articles/stages.html#deprecated" class="external-link"><img src="figures/lifecycle-deprecated.svg" alt="[Deprecated]"></a> Use
-<code>reproduction_level = 1 / R_factor</code> instead.</p></dd>
-
-
 <dt id="arg-erepro">erepro<a class="anchor" aria-label="anchor" href="#arg-erepro"></a></dt>
 <dd><p>Reproductive efficiency for each species. See details.</p></dd>
 
@@ -110,6 +114,12 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 <dd><p>Sets <code>R_max</code> so that the reproduction rate at
 the initial state is <code>R_max * reproduction_level</code>.</p></dd>
 
+
+<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
+<dd><p>Unused</p><ul><li><p><code>R_factor</code>: Legacy alternative for specifying
+<code>reproduction_level = 1 / R_factor</code>.</p></li>
+</ul></dd>
+
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
@@ -165,7 +175,7 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
 <p>The values for <code>R_max</code> must be larger than \(R_{dd}\) and can range
 up to <code>Inf</code>. If a smaller value is requested a warning is issued and the
 value is increased to the value required for a reproduction level of 0.99.</p>
-<p>The values for the <code>reproduction_level</code> must be positive and
+<p>The values for the <code>reproduction_level</code> must be non-negative and
 less than 1. The values for <code>erepro</code> must be large enough to allow the
 required reproduction rate. If a smaller value is requested a warning is
 issued and the value is increased to the smallest possible value. The values
diff --git a/docs/reference/setSearchVolume.html b/docs/reference/setSearchVolume.html
index 9b7a985f5..b0a636480 100644
--- a/docs/reference/setSearchVolume.html
+++ b/docs/reference/setSearchVolume.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Set search volume — setSearchVolume"><meta name="description" content="Set search volume"><meta property="og:description" content="Set search volume"><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Set search volume — setSearchVolume"><meta name="description" content="Set search volume"><meta property="og:description" content="Set search volume"><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
 
 
@@ -13,7 +13,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -34,13 +34,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -50,7 +58,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -122,8 +131,8 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
     <p><code>setSearchVolume()</code>: A MizerParams object with updated search volume.</p>
-<p><code>getSearchVolume()</code> or equivalently <code>search_vol()</code>: An array (species
-x size) holding the search volume</p>
+<p><code>getSearchVolume()</code> or equivalently <code>search_vol()</code>: A
+<code>ArraySpeciesBySize</code> object (species x size) holding the search volume.</p>
     </div>
     <div class="section level2">
     <h2 id="setting-search-volume">Setting search volume<a class="anchor" aria-label="anchor" href="#setting-search-volume"></a></h2>
@@ -147,14 +156,19 @@ <h2 id="setting-search-volume">Setting search volume<a class="anchor" aria-label
 allometric exponent of the search volume) are taken from the <code>gamma</code> and
 <code>q</code> columns in the species parameter dataframe. If the <code>gamma</code>
 column is not supplied in the species parameter dataframe, a default is
-calculated by the <code><a href="get_gamma_default.html">get_gamma_default()</a></code> function. Note that only
+calculated by the <code><a href="get_gamma_default.html">get_gamma_default()</a></code> function. If the <code>q</code> column is not
+supplied, a default of <code>lambda - 2 + n</code> is used. Note that only
 for predators of size \(w = 1\) gram is the value of the species parameter
 \(\gamma_i\) the same as the value of the search volume \(\gamma_i(w)\).</p>
+<p>If the <code>search_vol</code> slot has a comment and <code>reset = FALSE</code>, then a
+recalculation from the species parameters is suppressed and a message is
+issued if the recalculated values would differ from the stored ones.</p>
     </div>
     <div class="section level2">
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
     <div class="dont-index"><p>Other functions for setting parameters:
 <code><a href="gear_params.html">gear_params()</a></code>,
+<code><a href="setExtDiffusion.html">setExtDiffusion()</a></code>,
 <code><a href="setExtEncounter.html">setExtEncounter()</a></code>,
 <code><a href="setExtMort.html">setExtMort()</a></code>,
 <code><a href="setFishing.html">setFishing()</a></code>,
@@ -165,7 +179,8 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
 <code><a href="setParams.html">setParams()</a></code>,
 <code><a href="setPredKernel.html">setPredKernel()</a></code>,
 <code><a href="setReproduction.html">setReproduction()</a></code>,
-<code><a href="species_params.html">species_params()</a></code></p></div>
+<code><a href="species_params.html">species_params()</a></code>,
+<code><a href="use_predation_diffusion.html">use_predation_diffusion()</a></code></p></div>
     </div>
 
   </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
diff --git a/docs/reference/set_community_model-2.png b/docs/reference/set_community_model-2.png
index dc7a28d8b..51692180d 100644
Binary files a/docs/reference/set_community_model-2.png and b/docs/reference/set_community_model-2.png differ
diff --git a/docs/reference/set_community_model.html b/docs/reference/set_community_model.html
index bf092a024..55d862e07 100644
--- a/docs/reference/set_community_model.html
+++ b/docs/reference/set_community_model.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Deprecated function for setting up parameters for a community-type model — set_community_model"><meta name="description" content="
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Deprecated function for setting up parameters for a community-type model — set_community_model"><meta name="description" content="
 This function has been deprecated in favour of the function
 newCommunityParams() that sets better default values."><meta property="og:description" content="
 This function has been deprecated in favour of the function
@@ -17,7 +17,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -38,13 +38,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -54,7 +62,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -251,8 +260,6 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>`set_community_model()` was deprecated in mizer 2.0.0.</span>
 <span class="r-wrn co"><span class="r-pr">#&gt;</span> <span style="color: #00BBBB;">ℹ</span> Please use `newCommunityParams()` instead.</span>
 <span class="r-msg co"><span class="r-pr">#&gt;</span> Note: No m column in species data frame so using m = 1.</span>
-<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>For the species Community the value for `w_mat` is not smaller than that of `w_max`. I have corrected that by setting it to 25% of `w_max.</span>
-<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>For the species Community the value for `w_mat` is not smaller than that of `w_max`. I have corrected that by setting it to 25% of `w_max.</span>
 <span class="r-in"><span><span class="co"># This is now achieved with</span></span></span>
 <span class="r-in"><span><span class="va">params</span> <span class="op">&lt;-</span> <span class="fu"><a href="newCommunityParams.html">newCommunityParams</a></span><span class="op">(</span>f0 <span class="op">=</span> <span class="fl">0.7</span>, z0 <span class="op">=</span> <span class="fl">0.2</span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="va">sim</span> <span class="op">&lt;-</span> <span class="fu"><a href="project.html">project</a></span><span class="op">(</span><span class="va">params</span>, effort <span class="op">=</span> <span class="fl">0</span>, t_max <span class="op">=</span> <span class="fl">100</span>, dt<span class="op">=</span><span class="fl">0.1</span><span class="op">)</span></span></span>
diff --git a/docs/reference/set_multispecies_model.html b/docs/reference/set_multispecies_model.html
index 4db753997..7cf75e577 100644
--- a/docs/reference/set_multispecies_model.html
+++ b/docs/reference/set_multispecies_model.html
@@ -5,11 +5,17 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Deprecated obsolete function for setting up multispecies parameters — set_multispecies_model"><meta name="description" content="
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Deprecated obsolete function for setting up multispecies parameters — set_multispecies_model"><meta name="description" content="
 This function has been deprecated in favour of the function
-newMultispeciesParams() that sets better default values."><meta property="og:description" content="
+newMultispeciesParams() that sets better default values.
+This wrapper keeps the legacy defaults and also fills in several columns in
+species_params if they are missing, using the same rules as older mizer
+versions."><meta property="og:description" content="
 This function has been deprecated in favour of the function
-newMultispeciesParams() that sets better default values."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
+newMultispeciesParams() that sets better default values.
+This wrapper keeps the legacy defaults and also fills in several columns in
+species_params if they are missing, using the same rules as older mizer
+versions."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
 
 
@@ -17,7 +23,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -38,13 +44,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -54,7 +68,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -81,6 +96,9 @@
     <p><a href="https://lifecycle.r-lib.org/articles/stages.html#deprecated" class="external-link"><img src="figures/lifecycle-deprecated.svg" alt="[Deprecated]"></a></p>
 <p>This function has been deprecated in favour of the function
 <code><a href="newMultispeciesParams.html">newMultispeciesParams()</a></code> that sets better default values.</p>
+<p>This wrapper keeps the legacy defaults and also fills in several columns in
+<code>species_params</code> if they are missing, using the same rules as older mizer
+versions.</p>
     </div>
 
     <div class="section level2">
@@ -166,13 +184,28 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 
 
 <dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
-<dd><p>Unused</p></dd>
+<dd><p>Further arguments passed to <code><a href="newMultispeciesParams.html">newMultispeciesParams()</a></code>.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
     <p>A MizerParams object</p>
     </div>
+    <div class="section level2">
+    <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
+    <p>If <code>species_params</code> contains a <code>w_inf</code> column then it is copied to <code>w_max</code>.
+If <code>max_w</code> is not supplied then it is set to <code>1.1 * max(species_params$w_max)</code>.
+The supplied <code>min_w_pp</code> is shifted up by one grid step before being passed
+to <code><a href="newMultispeciesParams.html">newMultispeciesParams()</a></code> to compensate for the fact that newer mizer
+versions extend the full size grid below <code>min_w_pp</code>.</p>
+<p>Missing legacy columns in <code>species_params</code> are filled as follows:
+<code>gear = species</code>, <code>k = 0</code>, <code>alpha = 0.6</code>, <code>erepro = 1</code>,
+<code>sel_func = "knife_edge"</code>, <code>knife_edge_size = w_mat</code> if needed,
+<code>catchability = 1</code>, <code>ks = h * 0.2</code>, and <code>m = 1</code>.
+If <code>h</code> is missing it is calculated from <code>k_vb</code>, <code>alpha</code>, <code>f0</code> and <code>w_max</code>.
+If <code>gamma</code> is missing it is calculated from <code>f0</code>, <code>h</code>, <code>beta</code>, <code>sigma</code>,
+<code>lambda</code> and <code>kappa</code>.</p>
+    </div>
 
   </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
diff --git a/docs/reference/set_species_param_default.html b/docs/reference/set_species_param_default.html
index 0f0555e10..df92ea169 100644
--- a/docs/reference/set_species_param_default.html
+++ b/docs/reference/set_species_param_default.html
@@ -5,13 +5,13 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Set a species parameter to a default value — set_species_param_default"><meta name="description" content="If the species parameter does not yet exist in the species parameter data
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Set a species parameter to a default value — set_species_param_default"><meta name="description" content="If the species parameter does not yet exist in the species parameter data
 frame, then create it and fill it with the default. Otherwise use the default
 only to fill in any NAs. Optionally gives a message if the parameter
-did not already exist."><meta property="og:description" content="If the species parameter does not yet exist in the species parameter data
+did not already exist. The signal has class info_about_default."><meta property="og:description" content="If the species parameter does not yet exist in the species parameter data
 frame, then create it and fill it with the default. Otherwise use the default
 only to fill in any NAs. Optionally gives a message if the parameter
-did not already exist."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
+did not already exist. The signal has class info_about_default."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
 
 
@@ -19,7 +19,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -40,13 +40,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -56,7 +64,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -83,7 +92,7 @@
     <p>If the species parameter does not yet exist in the species parameter data
 frame, then create it and fill it with the default. Otherwise use the default
 only to fill in any NAs. Optionally gives a message if the parameter
-did not already exist.</p>
+did not already exist. The signal has class <code>info_about_default</code>.</p>
     </div>
 
     <div class="section level2">
diff --git a/docs/reference/set_trait_model.html b/docs/reference/set_trait_model.html
index 44b1716cf..4fc2d0836 100644
--- a/docs/reference/set_trait_model.html
+++ b/docs/reference/set_trait_model.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Deprecated function for setting up parameters for a trait-based model — set_trait_model"><meta name="description" content="
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Deprecated function for setting up parameters for a trait-based model — set_trait_model"><meta name="description" content="
 This function has been deprecated in favour of the function
 newTraitParams() that sets better default values."><meta property="og:description" content="
 This function has been deprecated in favour of the function
@@ -17,7 +17,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -38,13 +38,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -54,7 +62,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -143,13 +152,13 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 
 
 <dt id="arg-max-w">max_w<a class="anchor" aria-label="anchor" href="#arg-max-w"></a></dt>
-<dd><p>Obsolete argument because the maximum size of the consumer
-spectrum is set to max_w_inf.</p></dd>
+<dd><p>Maximum size of the consumer size grid passed to
+<code><a href="MizerParams.html">MizerParams()</a></code>. Default value is <code>max_w_inf * 1.1</code>.</p></dd>
 
 
 <dt id="arg-min-w-pp">min_w_pp<a class="anchor" aria-label="anchor" href="#arg-min-w-pp"></a></dt>
-<dd><p>Obsolete argument because the smallest resource size is set
-to the smallest size at which the consumers feed.</p></dd>
+<dd><p>Smallest size on the resource size grid passed to
+<code><a href="MizerParams.html">MizerParams()</a></code>. Default value is <code>1e-10</code>.</p></dd>
 
 
 <dt id="arg-w-pp-cutoff">w_pp_cutoff<a class="anchor" aria-label="anchor" href="#arg-w-pp-cutoff"></a></dt>
diff --git a/docs/reference/sigmoid_length.html b/docs/reference/sigmoid_length.html
index fae1a7f77..833da7a96 100644
--- a/docs/reference/sigmoid_length.html
+++ b/docs/reference/sigmoid_length.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Length based sigmoid selectivity function — sigmoid_length"><meta name="description" content="A sigmoid shaped selectivity function. Based on two parameters l25 and
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Length based sigmoid selectivity function — sigmoid_length"><meta name="description" content="A sigmoid shaped selectivity function. Based on two parameters l25 and
 l50 which determine the length at which 25% and 50% of the stock is
 selected respectively."><meta property="og:description" content="A sigmoid shaped selectivity function. Based on two parameters l25 and
 l50 which determine the length at which 25% and 50% of the stock is
@@ -17,7 +17,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -38,13 +38,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -54,7 +62,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
diff --git a/docs/reference/sigmoid_weight.html b/docs/reference/sigmoid_weight.html
index ea95f1775..bd851389e 100644
--- a/docs/reference/sigmoid_weight.html
+++ b/docs/reference/sigmoid_weight.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Weight based sigmoidal selectivity function — sigmoid_weight"><meta name="description" content="A sigmoidal selectivity function with 50% selectivity at
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Weight based sigmoidal selectivity function — sigmoid_weight"><meta name="description" content="A sigmoidal selectivity function with 50% selectivity at
 weight sigmoidal_weight \(=w_{\text{sigmoid}}\) and width sigmoidal_sigma \(=\sigma\).
 $$S(w) = \left(1 + \left(\frac{w}{w_{\text{sigmoid}}}\right)^{-\sigma}\right)^{-1}$$"><meta property="og:description" content="A sigmoidal selectivity function with 50% selectivity at
 weight sigmoidal_weight \(=w_{\text{sigmoid}}\) and width sigmoidal_sigma \(=\sigma\).
@@ -17,7 +17,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -38,13 +38,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -54,7 +62,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -97,7 +106,7 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 
 
 <dt id="arg-sigmoidal-weight">sigmoidal_weight<a class="anchor" aria-label="anchor" href="#arg-sigmoidal-weight"></a></dt>
-<dd><p>The weight at which the knife-edge operates.</p></dd>
+<dd><p>The weight at which selectivity is 50%.</p></dd>
 
 
 <dt id="arg-sigmoidal-sigma">sigmoidal_sigma<a class="anchor" aria-label="anchor" href="#arg-sigmoidal-sigma"></a></dt>
diff --git a/docs/reference/simExtensionClass.html b/docs/reference/simExtensionClass.html
new file mode 100644
index 000000000..c6ad21d6c
--- /dev/null
+++ b/docs/reference/simExtensionClass.html
@@ -0,0 +1,126 @@
+<!DOCTYPE html>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en-GB"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Derive the MizerSim marker class name for a given extension — simExtensionClass • mizer</title><!-- favicons --><link rel="icon" type="image/png" sizes="96x96" href="../favicon-96x96.png"><link rel="icon" type="”image/svg+xml”" href="../favicon.svg"><link rel="apple-touch-icon" sizes="180x180" href="../apple-touch-icon.png"><link rel="icon" sizes="any" href="../favicon.ico"><link rel="manifest" href="../site.webmanifest"><!-- mathjax math --><script src="https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/tex-mml-chtml.js" integrity="sha256-MASABpB4tYktI2Oitl4t+78w/lyA+D7b/s9GEP0JOGI=" crossorigin="anonymous"></script><script>
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+<li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
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+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Derive the MizerSim marker class name for a given extension</h1>
+      <small class="dont-index">Source: <a href="https://github.com/sizespectrum/mizer/blob/HEAD/R/registerExtensions.R" class="external-link"><code>R/registerExtensions.R</code></a></small>
+      <div class="d-none name"><code>simExtensionClass.Rd</code></div>
+    </div>
+
+    <div class="ref-description section level2">
+    <p>Derive the MizerSim marker class name for a given extension</p>
+    </div>
+
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">simExtensionClass</span><span class="op">(</span><span class="va">extension</span><span class="op">)</span></span></code></pre></div>
+    </div>
+
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-extension">extension<a class="anchor" aria-label="anchor" href="#arg-extension"></a></dt>
+<dd><p>Character string — the extension (params) class name.</p></dd>
+
+</dl></div>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p>A character string formed by appending <code>"Sim"</code> to <code>extension</code>.</p>
+    </div>
+
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside></div>
+
+
+    <footer><div class="pkgdown-footer-left">
+  <p>Developed by <a href="https://www.york.ac.uk/maths/staff/gustav-delius/" class="external-link">Gustav Delius</a>, Finlay Scott, <a href="http://www.utas.edu.au/profiles/staff/imas/julia-blanchard" class="external-link">Julia Blanchard</a>, <a href="https://ken.haste.dk/" class="external-link">Ken Andersen</a>.</p>
+</div>
+
+<div class="pkgdown-footer-right">
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
+</div>
+
+    </footer></div>
+
+
+
+
+
+  </body></html>
+
diff --git a/docs/reference/species_params.html b/docs/reference/species_params.html
index e6671e6da..9341e3fec 100644
--- a/docs/reference/species_params.html
+++ b/docs/reference/species_params.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Species parameters — species_params"><meta name="description" content="These functions allow you to get or set the species-specific parameters
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Species parameters — species_params"><meta name="description" content="These functions allow you to get or set the species-specific parameters
 stored in a MizerParams object."><meta property="og:description" content="These functions allow you to get or set the species-specific parameters
 stored in a MizerParams object."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
@@ -15,7 +15,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -36,13 +36,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -52,7 +60,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -107,7 +116,20 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    <p>Data frame of species parameters</p>
+    <p><code>species_params()</code>: Data frame containing all species parameters
+currently stored in the model.</p>
+<p><code>species_params&lt;-()</code>: Updates the full species parameter table after
+validating it with <code><a href="validSpeciesParams.html">validSpeciesParams()</a></code> and then recalculating the model
+parameters with <code><a href="setParams.html">setParams()</a></code>.</p>
+<p><code>given_species_params()</code>: Data frame containing the species parameter
+values that were supplied explicitly by the user.</p>
+<p><code>given_species_params&lt;-()</code>: Updates the explicitly supplied species
+parameters after validating them with <code><a href="validSpeciesParams.html">validGivenSpeciesParams()</a></code> and then
+recalculating the full species parameter table and dependent model
+quantities.</p>
+<p><code>calculated_species_params()</code>: Data frame containing only those species
+parameter entries that are not explicit user input. Columns that would
+consist entirely of <code>NA</code> values are dropped.</p>
     </div>
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
@@ -134,7 +156,12 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
 <li><p><code>h</code> and <code>n</code> are used to set the maximum intake rate, see <code><a href="setMaxIntakeRate.html">setMaxIntakeRate()</a></code>.</p></li>
 <li><p><code>k</code>, <code>ks</code> and <code>p</code> are used to set activity and basic metabolic rate,
 see <code><a href="setMetabolicRate.html">setMetabolicRate()</a></code>.</p></li>
-<li><p><code>z0</code> is used to set the external mortality rate, see <code><a href="setExtMort.html">setExtMort()</a></code>.</p></li>
+<li><p><code>z0</code>, <code>z_ext</code> and <code>d</code> are used to set the external mortality rate, see
+<code><a href="setExtMort.html">setExtMort()</a></code>.</p></li>
+<li><p><code>E_ext</code> and <code>n</code> are used to set the external encounter rate, see
+<code><a href="setExtEncounter.html">setExtEncounter()</a></code>.</p></li>
+<li><p><code>D_ext</code> and <code>n</code> are used to set the external diffusion rate, see
+<code><a href="setExtDiffusion.html">setExtDiffusion()</a></code>.</p></li>
 <li><p><code>w_mat</code>, <code>w_mat25</code>, <code>w_repro_max</code> and <code>m</code> are used to set the allocation to
 reproduction, see <code><a href="setReproduction.html">setReproduction()</a></code>.</p></li>
 <li><p><code>pred_kernel_type</code> specifies the shape of the predation kernel. The default
@@ -158,7 +185,7 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
 <li><p><code>erepro</code> is the reproductive efficiency, the proportion of the energy
 invested into reproduction that is converted to egg biomass, see
 <code><a href="getRDI.html">getRDI()</a></code>.</p></li>
-<li><p><code>Rmax</code> is the parameter in the Beverton-Holt density dependence added to
+<li><p><code>R_max</code> is the parameter in the Beverton-Holt density dependence added to
 the reproduction, see <code><a href="setBevertonHolt.html">setBevertonHolt()</a></code>. There will be other such
 parameters if you use other density dependence functions, see the
 "Density dependence" section in the help for <code><a href="setReproduction.html">setReproduction()</a></code>.</p></li>
@@ -177,9 +204,12 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
 <code>ks</code> of the metabolic rate, see <code><a href="get_ks_default.html">get_ks_default()</a></code>.</p></li>
 <li><p><code>age_mat</code> is the age at maturity and is used to get a default value for
 the coefficient <code>h</code> of the maximum intake rate, see <code><a href="get_h_default.html">get_h_default()</a></code>.</p></li>
-</ul><p>Note that setting these parameters with <code>species_params&lt;-()</code> will have no
-effect. You need to set them with <code>given_species_params&lt;-()</code> in order to
-trigger a re-calculation of the other species parameters.</p>
+</ul><p>Changing these parameters with <code>species_params&lt;-()</code> updates the stored
+species parameter table and triggers a recalculation via <code><a href="setParams.html">setParams()</a></code>.
+However they only affect model behaviour if the corresponding downstream
+parameters are recalculated rather than kept at explicitly supplied values.
+In typical workflows these quantities should therefore be changed via
+<code>given_species_params&lt;-()</code>.</p>
 <p>In the past, mizer also used the von Bertalanffy parameters <code>k_vb</code>, <code>w_inf</code>
 and <code>t0</code> to determine a default for <code>h</code>. This is unreliable and is therefore
 now deprecated.</p>
@@ -210,6 +240,7 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
     <div class="dont-index"><p><code><a href="validSpeciesParams.html">validSpeciesParams()</a></code>, <code><a href="setParams.html">setParams()</a></code></p>
 <p>Other functions for setting parameters:
 <code><a href="gear_params.html">gear_params()</a></code>,
+<code><a href="setExtDiffusion.html">setExtDiffusion()</a></code>,
 <code><a href="setExtEncounter.html">setExtEncounter()</a></code>,
 <code><a href="setExtMort.html">setExtMort()</a></code>,
 <code><a href="setFishing.html">setFishing()</a></code>,
@@ -220,7 +251,8 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
 <code><a href="setParams.html">setParams()</a></code>,
 <code><a href="setPredKernel.html">setPredKernel()</a></code>,
 <code><a href="setReproduction.html">setReproduction()</a></code>,
-<code><a href="setSearchVolume.html">setSearchVolume()</a></code></p></div>
+<code><a href="setSearchVolume.html">setSearchVolume()</a></code>,
+<code><a href="use_predation_diffusion.html">use_predation_diffusion()</a></code></p></div>
     </div>
 
   </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
diff --git a/docs/reference/steady-1.png b/docs/reference/steady-1.png
index f3747a789..a3529d6a3 100644
Binary files a/docs/reference/steady-1.png and b/docs/reference/steady-1.png differ
diff --git a/docs/reference/steady.html b/docs/reference/steady.html
index 175e12a0c..e64611990 100644
--- a/docs/reference/steady.html
+++ b/docs/reference/steady.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Set initial values to a steady state for the model — steady"><meta name="description" content="The steady state is found by running the dynamics while keeping reproduction,
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Set initial values to a steady state for the model — steady"><meta name="description" content="The steady state is found by running the dynamics while keeping reproduction,
 resource and other components constant until the size spectra no longer
 change much (or until time t_max is reached, if earlier)."><meta property="og:description" content="The steady state is found by running the dynamics while keeping reproduction,
 resource and other components constant until the size spectra no longer
@@ -17,7 +17,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -38,13 +38,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -54,7 +62,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -93,7 +102,8 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 <span>  tol <span class="op">=</span> <span class="fl">0.1</span> <span class="op">*</span> <span class="va">dt</span>,</span>
 <span>  return_sim <span class="op">=</span> <span class="cn">FALSE</span>,</span>
 <span>  preserve <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"reproduction_level"</span>, <span class="st">"erepro"</span>, <span class="st">"R_max"</span><span class="op">)</span>,</span>
-<span>  progress_bar <span class="op">=</span> <span class="cn">TRUE</span></span>
+<span>  progress_bar <span class="op">=</span> <span class="cn">TRUE</span>,</span>
+<span>  info_level <span class="op">=</span> <span class="fl">3</span></span>
 <span><span class="op">)</span></span></code></pre></div>
     </div>
 
@@ -143,10 +153,17 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 <dd><p>A shiny progress object to implement a progress bar in a
 shiny app. Default FALSE.</p></dd>
 
+
+<dt id="arg-info-level">info_level<a class="anchor" aria-label="anchor" href="#arg-info-level"></a></dt>
+<dd><p>Controls the amount of information messages that are shown.
+Higher levels lead to more messages.</p></dd>
+
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    <p>A MizerParams or a MizerSim object</p>
+    <p>If <code>return_sim = FALSE</code>, a <code>MizerParams</code> object with the initial
+state replaced by the steady state. If <code>return_sim = TRUE</code>, a <code>MizerSim</code>
+object containing the intermediate states saved every <code>t_per</code> years.</p>
     </div>
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
diff --git a/docs/reference/steadySingleSpecies.html b/docs/reference/steadySingleSpecies.html
index b601386f4..fb0a84390 100644
--- a/docs/reference/steadySingleSpecies.html
+++ b/docs/reference/steadySingleSpecies.html
@@ -1,17 +1,19 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en-GB"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Set initial abundances to single-species steady state abundances — steadySingleSpecies • mizer</title><!-- favicons --><link rel="icon" type="image/png" sizes="96x96" href="../favicon-96x96.png"><link rel="icon" type="”image/svg+xml”" href="../favicon.svg"><link rel="apple-touch-icon" sizes="180x180" href="../apple-touch-icon.png"><link rel="icon" sizes="any" href="../favicon.ico"><link rel="manifest" href="../site.webmanifest"><!-- mathjax math --><script src="https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/tex-mml-chtml.js" integrity="sha256-MASABpB4tYktI2Oitl4t+78w/lyA+D7b/s9GEP0JOGI=" crossorigin="anonymous"></script><script>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en-GB"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Set initial abundances to solution of steady-state equation with current rates — steadySingleSpecies • mizer</title><!-- favicons --><link rel="icon" type="image/png" sizes="96x96" href="../favicon-96x96.png"><link rel="icon" type="”image/svg+xml”" href="../favicon.svg"><link rel="apple-touch-icon" sizes="180x180" href="../apple-touch-icon.png"><link rel="icon" sizes="any" href="../favicon.ico"><link rel="manifest" href="../site.webmanifest"><!-- mathjax math --><script src="https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/tex-mml-chtml.js" integrity="sha256-MASABpB4tYktI2Oitl4t+78w/lyA+D7b/s9GEP0JOGI=" crossorigin="anonymous"></script><script>
   window.MathJax = {
     chtml: {
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Set initial abundances to single-species steady state abundances — steadySingleSpecies"><meta name="description" content="
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Set initial abundances to solution of steady-state equation with current rates — steadySingleSpecies"><meta name="description" content="
 This first calculates growth and death rates that arise from the current
-initial abundances. Then it uses these growth and death rates to
-determine the steady-state abundances of the selected species."><meta property="og:description" content="
+initial abundances. Then it solves the steady-state equation with these
+growth and death rates and the current abundance at the smallest size.
+It sets the initial abundances of the selected species to this solution."><meta property="og:description" content="
 This first calculates growth and death rates that arise from the current
-initial abundances. Then it uses these growth and death rates to
-determine the steady-state abundances of the selected species."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
+initial abundances. Then it solves the steady-state equation with these
+growth and death rates and the current abundance at the smallest size.
+It sets the initial abundances of the selected species to this solution."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
 
 
@@ -19,7 +21,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -40,13 +42,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -56,7 +66,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -74,7 +85,7 @@
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="../logo.png" class="logo" alt=""><h1>Set initial abundances to single-species steady state abundances</h1>
+      <img src="../logo.png" class="logo" alt=""><h1>Set initial abundances to solution of steady-state equation with current rates</h1>
       <small class="dont-index">Source: <a href="https://github.com/sizespectrum/mizer/blob/HEAD/R/steadySingleSpecies.R" class="external-link"><code>R/steadySingleSpecies.R</code></a></small>
       <div class="d-none name"><code>steadySingleSpecies.Rd</code></div>
     </div>
@@ -82,8 +93,9 @@
     <div class="ref-description section level2">
     <p><a href="https://lifecycle.r-lib.org/articles/stages.html#experimental" class="external-link"><img src="figures/lifecycle-experimental.svg" alt="[Experimental]"></a>
 This first calculates growth and death rates that arise from the current
-initial abundances. Then it uses these growth and death rates to
-determine the steady-state abundances of the selected species.</p>
+initial abundances. Then it solves the steady-state equation with these
+growth and death rates and the current abundance at the smallest size.
+It sets the initial abundances of the selected species to this solution.</p>
     </div>
 
     <div class="section level2">
@@ -124,9 +136,14 @@ <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2
     </div>
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
-    <p>The result of applying this function is of course not a multi-species steady
-state, because after changing the abundances of the selected species the
-growth and death rates will have changed.</p>
+    <p>The function only changes the initial abundances. It does not adjust the
+reproduction parameters or any other parameters. Therefore the result of
+applying this function is of course not a steady state, because after
+changing the abundances of the selected species the growth, death and
+reproduction rates will have changed.</p>
+<p>If the <code>keep</code> argument is supplied, the solution for the selected species
+are rescaled to keep the specified quantity at the value they had before
+calling this function.</p>
     </div>
 
   </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
diff --git a/docs/reference/summary-MizerParams-method.html b/docs/reference/summary.MizerParams.html
similarity index 80%
rename from docs/reference/summary-MizerParams-method.html
rename to docs/reference/summary.MizerParams.html
index e84c44b67..58ab8983f 100644
--- a/docs/reference/summary-MizerParams-method.html
+++ b/docs/reference/summary.MizerParams.html
@@ -1,11 +1,11 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en-GB"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Summarize MizerParams object — summary,MizerParams-method • mizer</title><!-- favicons --><link rel="icon" type="image/png" sizes="96x96" href="../favicon-96x96.png"><link rel="icon" type="”image/svg+xml”" href="../favicon.svg"><link rel="apple-touch-icon" sizes="180x180" href="../apple-touch-icon.png"><link rel="icon" sizes="any" href="../favicon.ico"><link rel="manifest" href="../site.webmanifest"><!-- mathjax math --><script src="https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/tex-mml-chtml.js" integrity="sha256-MASABpB4tYktI2Oitl4t+78w/lyA+D7b/s9GEP0JOGI=" crossorigin="anonymous"></script><script>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en-GB"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Summarize MizerParams object — summary.MizerParams • mizer</title><!-- favicons --><link rel="icon" type="image/png" sizes="96x96" href="../favicon-96x96.png"><link rel="icon" type="”image/svg+xml”" href="../favicon.svg"><link rel="apple-touch-icon" sizes="180x180" href="../apple-touch-icon.png"><link rel="icon" sizes="any" href="../favicon.ico"><link rel="manifest" href="../site.webmanifest"><!-- mathjax math --><script src="https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/tex-mml-chtml.js" integrity="sha256-MASABpB4tYktI2Oitl4t+78w/lyA+D7b/s9GEP0JOGI=" crossorigin="anonymous"></script><script>
   window.MathJax = {
     chtml: {
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Summarize MizerParams object — summary,MizerParams-method"><meta name="description" content="Outputs a general summary of the structure and content of the object"><meta property="og:description" content="Outputs a general summary of the structure and content of the object"><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Summarize MizerParams object — summary.MizerParams"><meta name="description" content="Outputs a general summary of the structure and content of the object"><meta property="og:description" content="Outputs a general summary of the structure and content of the object"><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
 
 
@@ -13,7 +13,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -34,13 +34,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -50,7 +58,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -70,7 +79,7 @@
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Summarize MizerParams object</h1>
       <small class="dont-index">Source: <a href="https://github.com/sizespectrum/mizer/blob/HEAD/R/summary_methods.R" class="external-link"><code>R/summary_methods.R</code></a></small>
-      <div class="d-none name"><code>summary-MizerParams-method.Rd</code></div>
+      <div class="d-none name"><code>summary.MizerParams.Rd</code></div>
     </div>
 
     <div class="ref-description section level2">
@@ -79,7 +88,7 @@
 
     <div class="section level2">
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="co"># S4 method for class 'MizerParams'</span></span>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="co"># S3 method for class 'MizerParams'</span></span>
 <span><span class="fu"><a href="https://rdrr.io/r/base/summary.html" class="external-link">summary</a></span><span class="op">(</span><span class="va">object</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
     </div>
 
@@ -104,6 +113,9 @@ <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2
     <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/summary.html" class="external-link">summary</a></span><span class="op">(</span><span class="va">NS_params</span><span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> An object of class "MizerParams" </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> mizer version: 2.5.4.9123</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Created: 2021-09-03 20:29:38</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Modified: 2026-04-12 11:31:45</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> Consumer size spectrum:</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> 	minimum size:	0.001</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> 	maximum size:	39851.3</span>
diff --git a/docs/reference/summary-MizerSim-method.html b/docs/reference/summary.MizerSim.html
similarity index 81%
rename from docs/reference/summary-MizerSim-method.html
rename to docs/reference/summary.MizerSim.html
index fc9157982..0ffd650b3 100644
--- a/docs/reference/summary-MizerSim-method.html
+++ b/docs/reference/summary.MizerSim.html
@@ -1,11 +1,11 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en-GB"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Summarize MizerSim object — summary,MizerSim-method • mizer</title><!-- favicons --><link rel="icon" type="image/png" sizes="96x96" href="../favicon-96x96.png"><link rel="icon" type="”image/svg+xml”" href="../favicon.svg"><link rel="apple-touch-icon" sizes="180x180" href="../apple-touch-icon.png"><link rel="icon" sizes="any" href="../favicon.ico"><link rel="manifest" href="../site.webmanifest"><!-- mathjax math --><script src="https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/tex-mml-chtml.js" integrity="sha256-MASABpB4tYktI2Oitl4t+78w/lyA+D7b/s9GEP0JOGI=" crossorigin="anonymous"></script><script>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en-GB"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Summarize MizerSim object — summary.MizerSim • mizer</title><!-- favicons --><link rel="icon" type="image/png" sizes="96x96" href="../favicon-96x96.png"><link rel="icon" type="”image/svg+xml”" href="../favicon.svg"><link rel="apple-touch-icon" sizes="180x180" href="../apple-touch-icon.png"><link rel="icon" sizes="any" href="../favicon.ico"><link rel="manifest" href="../site.webmanifest"><!-- mathjax math --><script src="https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/tex-mml-chtml.js" integrity="sha256-MASABpB4tYktI2Oitl4t+78w/lyA+D7b/s9GEP0JOGI=" crossorigin="anonymous"></script><script>
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+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Summarize MizerSim object — summary.MizerSim"><meta name="description" content="Outputs a general summary of the structure and content of the object"><meta property="og:description" content="Outputs a general summary of the structure and content of the object"><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
 
 
@@ -13,7 +13,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -34,13 +34,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -50,7 +58,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -70,7 +79,7 @@
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Summarize MizerSim object</h1>
       <small class="dont-index">Source: <a href="https://github.com/sizespectrum/mizer/blob/HEAD/R/summary_methods.R" class="external-link"><code>R/summary_methods.R</code></a></small>
-      <div class="d-none name"><code>summary-MizerSim-method.Rd</code></div>
+      <div class="d-none name"><code>summary.MizerSim.Rd</code></div>
     </div>
 
     <div class="ref-description section level2">
@@ -79,7 +88,7 @@
 
     <div class="section level2">
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="co"># S4 method for class 'MizerSim'</span></span>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="co"># S3 method for class 'MizerSim'</span></span>
 <span><span class="fu"><a href="https://rdrr.io/r/base/summary.html" class="external-link">summary</a></span><span class="op">(</span><span class="va">object</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
     </div>
 
@@ -106,6 +115,9 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> An object of class "MizerSim" </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> Parameters:</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> An object of class "MizerParams" </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> mizer version: 2.5.4.9123</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Created: 2021-09-03 20:30:02</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Modified: 2026-04-12 11:31:45</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> Consumer size spectrum:</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> 	minimum size:	0.001</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> 	maximum size:	39851.3</span>
diff --git a/docs/reference/summary_functions.html b/docs/reference/summary_functions.html
index cb9eadfb0..853d30c51 100644
--- a/docs/reference/summary_functions.html
+++ b/docs/reference/summary_functions.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Description of summary functions — summary_functions"><meta name="description" content="Mizer provides a range of functions to summarise the results of a simulation."><meta property="og:description" content="Mizer provides a range of functions to summarise the results of a simulation."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Description of summary functions — summary_functions"><meta name="description" content="Mizer provides a range of functions to summarise the results of a simulation."><meta property="og:description" content="Mizer provides a range of functions to summarise the results of a simulation."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
 
 
@@ -13,7 +13,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -34,13 +34,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -50,7 +58,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -80,7 +89,7 @@
 
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
-    <p>A list of available summary functions is given in the table below.</p><table class="table table"><tr><td>Function</td><td>Returns</td><td>Description</td></tr><tr><td><code><a href="getDiet.html">getDiet()</a></code></td><td>Three dimensional array (predator x size x prey)</td><td>Diet of predator at size, resolved by prey species</td></tr><tr><td><code><a href="getSSB.html">getSSB()</a></code></td><td>Two dimensional array (time x species)</td><td>Total Spawning Stock Biomass (SSB) of each species through time where SSB is calculated as the sum of weight of all mature individuals.</td></tr><tr><td><code><a href="getBiomass.html">getBiomass()</a></code></td><td>Two dimensional array (time x species)</td><td>Total biomass of each species through time.</td></tr><tr><td><code><a href="getN.html">getN()</a></code></td><td>Two dimensional array (time x species)</td><td>Total abundance of each species through time.</td></tr><tr><td><code><a href="getFeedingLevel.html">getFeedingLevel()</a></code></td><td>Three dimensional array (time x species x size)</td><td>Feeding level of each species by size through time.</td></tr><tr><td><code><a href="getM2.html">getM2</a></code></td><td>Three dimensional array (time x species x size)</td><td>The predation mortality imposed on each species by size through time.</td></tr><tr><td><code><a href="getFMort.html">getFMort()</a></code></td><td>Three dimensional array (time x species x size)</td><td>Total fishing mortality on each species by size through time.</td></tr><tr><td><code><a href="getFMortGear.html">getFMortGear()</a></code></td><td>Four dimensional array (time x gear x species x size)</td><td>Fishing mortality on each species by each gear at size through time.</td></tr><tr><td><code><a href="getYieldGear.html">getYieldGear()</a></code></td><td>Three dimensional array (time x gear x species)</td><td>Total yield by gear and species through time.</td></tr><tr><td><code><a href="getYield.html">getYield()</a></code></td><td>Two dimensional array (time x species)</td><td>Total yield of each species across all gears through time.</td></tr></table></div>
+    <p>A list of available summary functions is given in the table below.</p><table class="table table"><tr><td>Function</td><td>Returns</td><td>Description</td></tr><tr><td><code><a href="getDiet.html">getDiet()</a></code></td><td>Three dimensional array (predator x size x prey)</td><td>Diet of predator at size, resolved by prey species</td></tr><tr><td><code><a href="getTrophicLevel.html">getTrophicLevel()</a></code></td><td><code>ArraySpeciesBySize</code> (species x size)</td><td>Trophic level of individuals at size, accounting for ontogenetic diet shifts</td></tr><tr><td><code><a href="getTrophicLevelBySpecies.html">getTrophicLevelBySpecies()</a></code></td><td>Named vector (species)</td><td>Consumption-rate-weighted mean trophic level of each species</td></tr><tr><td><code><a href="getSSB.html">getSSB()</a></code></td><td>Two dimensional array (time x species)</td><td>Total Spawning Stock Biomass (SSB) of each species through time where SSB is calculated as the sum of weight of all mature individuals.</td></tr><tr><td><code><a href="getBiomass.html">getBiomass()</a></code></td><td>Two dimensional array (time x species)</td><td>Total biomass of each species through time.</td></tr><tr><td><code><a href="getN.html">getN()</a></code></td><td>Two dimensional array (time x species)</td><td>Total abundance of each species through time.</td></tr><tr><td><code><a href="getFeedingLevel.html">getFeedingLevel()</a></code></td><td>Three dimensional array (time x species x size)</td><td>Feeding level of each species by size through time.</td></tr><tr><td><code><a href="getM2.html">getM2</a></code></td><td>Three dimensional array (time x species x size)</td><td>The predation mortality imposed on each species by size through time.</td></tr><tr><td><code><a href="getFMort.html">getFMort()</a></code></td><td>Three dimensional array (time x species x size)</td><td>Total fishing mortality on each species by size through time.</td></tr><tr><td><code><a href="getFMortGear.html">getFMortGear()</a></code></td><td>Four dimensional array (time x gear x species x size)</td><td>Fishing mortality on each species by each gear at size through time.</td></tr><tr><td><code><a href="getYieldGear.html">getYieldGear()</a></code></td><td>Three dimensional array (time x gear x species)</td><td>Total yield by gear and species through time.</td></tr><tr><td><code><a href="getYield.html">getYield()</a></code></td><td>Two dimensional array (time x species)</td><td>Total yield of each species across all gears through time.</td></tr></table></div>
     <div class="section level2">
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
     <div class="dont-index"><p><a href="indicator_functions.html">indicator_functions</a>, <a href="plotting_functions.html">plotting_functions</a></p></div>
diff --git a/docs/reference/truncated_lognormal_pred_kernel.html b/docs/reference/truncated_lognormal_pred_kernel.html
index 5c97e93fe..53f9f8038 100644
--- a/docs/reference/truncated_lognormal_pred_kernel.html
+++ b/docs/reference/truncated_lognormal_pred_kernel.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Truncated lognormal predation kernel — truncated_lognormal_pred_kernel"><meta name="description" content="This is like the lognormal_pred_kernel() but with an imposed maximum
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Truncated lognormal predation kernel — truncated_lognormal_pred_kernel"><meta name="description" content="This is like the lognormal_pred_kernel() but with an imposed maximum
 predator/prey mass ratio"><meta property="og:description" content="This is like the lognormal_pred_kernel() but with an imposed maximum
 predator/prey mass ratio"><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
@@ -15,7 +15,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -36,13 +36,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -52,7 +60,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -135,7 +144,7 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
     <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="va">params</span> <span class="op">&lt;-</span> <span class="va">NS_params</span></span></span>
 <span class="r-in"><span><span class="fu"><a href="species_params.html">species_params</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span><span class="op">$</span><span class="va">pred_kernel_type</span> <span class="op">&lt;-</span> <span class="st">"truncated_lognormal"</span></span></span>
-<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span><span class="fu"><a href="w.html">w_full</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span>, <span class="fu"><a href="setPredKernel.html">getPredKernel</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span><span class="op">[</span><span class="st">"Cod"</span>, <span class="fl">10</span>, <span class="op">]</span>, type<span class="op">=</span><span class="st">"l"</span>, log<span class="op">=</span><span class="st">"x"</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="fu"><a href="plot.html">plot</a></span><span class="op">(</span><span class="fu"><a href="w.html">w_full</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span>, <span class="fu"><a href="setPredKernel.html">getPredKernel</a></span><span class="op">(</span><span class="va">params</span><span class="op">)</span><span class="op">[</span><span class="st">"Cod"</span>, <span class="fl">10</span>, <span class="op">]</span>, type<span class="op">=</span><span class="st">"l"</span>, log<span class="op">=</span><span class="st">"x"</span><span class="op">)</span></span></span>
 <span class="r-plt img"><img src="truncated_lognormal_pred_kernel-1.png" alt="" width="700" height="433"></span>
 </code></pre></div>
     </div>
diff --git a/docs/reference/upgradeParams.html b/docs/reference/upgradeParams.html
index d9e37d6a2..4fa67bf37 100644
--- a/docs/reference/upgradeParams.html
+++ b/docs/reference/upgradeParams.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Upgrade MizerParams object from earlier mizer versions — upgradeParams"><meta name="description" content="This function is called from validParams(). You should never need to call
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Upgrade MizerParams object from earlier mizer versions — upgradeParams"><meta name="description" content="This function is called from validParams(). You should never need to call
 it directly."><meta property="og:description" content="This function is called from validParams(). You should never need to call
 it directly."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
@@ -15,7 +15,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -36,13 +36,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -52,7 +60,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
diff --git a/docs/reference/upgradeSim.html b/docs/reference/upgradeSim.html
index b1ba5581b..63df5047b 100644
--- a/docs/reference/upgradeSim.html
+++ b/docs/reference/upgradeSim.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Upgrade MizerSim object from earlier mizer versions — upgradeSim"><meta name="description" content="Upgrade MizerSim object from earlier mizer versions"><meta property="og:description" content="Upgrade MizerSim object from earlier mizer versions"><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Upgrade MizerSim object from earlier mizer versions — upgradeSim"><meta name="description" content="Upgrade MizerSim object from earlier mizer versions"><meta property="og:description" content="Upgrade MizerSim object from earlier mizer versions"><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
 
 
@@ -13,7 +13,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -34,13 +34,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
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     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
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     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -50,7 +58,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
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 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
diff --git a/docs/reference/use_predation_diffusion.html b/docs/reference/use_predation_diffusion.html
new file mode 100644
index 000000000..57b1ca4d8
--- /dev/null
+++ b/docs/reference/use_predation_diffusion.html
@@ -0,0 +1,164 @@
+<!DOCTYPE html>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en-GB"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Get or set the use_predation_diffusion flag — use_predation_diffusion • mizer</title><!-- favicons --><link rel="icon" type="image/png" sizes="96x96" href="../favicon-96x96.png"><link rel="icon" type="”image/svg+xml”" href="../favicon.svg"><link rel="apple-touch-icon" sizes="180x180" href="../apple-touch-icon.png"><link rel="icon" sizes="any" href="../favicon.ico"><link rel="manifest" href="../site.webmanifest"><!-- mathjax math --><script src="https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/tex-mml-chtml.js" integrity="sha256-MASABpB4tYktI2Oitl4t+78w/lyA+D7b/s9GEP0JOGI=" crossorigin="anonymous"></script><script>
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+rates with mizerDiffusion(). When FALSE (the default), the
+predation-driven diffusion term is omitted, preserving the behaviour of
+previous mizer versions. Set to TRUE to enable the diffusion term from
+the jump-growth equation."><meta property="og:description" content="Controls whether predation-induced diffusion is included when calculating
+rates with mizerDiffusion(). When FALSE (the default), the
+predation-driven diffusion term is omitted, preserving the behaviour of
+previous mizer versions. Set to TRUE to enable the diffusion term from
+the jump-growth equation."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
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+    <li><a class="dropdown-item" href="../articles/trait_model.html">The Trait-Based Model</a></li>
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+    <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
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+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
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+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Get or set the use_predation_diffusion flag</h1>
+      <small class="dont-index">Source: <a href="https://github.com/sizespectrum/mizer/blob/HEAD/R/diffusion.R" class="external-link"><code>R/diffusion.R</code></a></small>
+      <div class="d-none name"><code>use_predation_diffusion.Rd</code></div>
+    </div>
+
+    <div class="ref-description section level2">
+    <p>Controls whether predation-induced diffusion is included when calculating
+rates with <code><a href="mizerDiffusion.html">mizerDiffusion()</a></code>. When <code>FALSE</code> (the default), the
+predation-driven diffusion term is omitted, preserving the behaviour of
+previous mizer versions. Set to <code>TRUE</code> to enable the diffusion term from
+the jump-growth equation.</p>
+    </div>
+
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">use_predation_diffusion</span><span class="op">(</span><span class="va">params</span><span class="op">)</span></span>
+<span></span>
+<span><span class="fu">use_predation_diffusion</span><span class="op">(</span><span class="va">params</span><span class="op">)</span> <span class="op">&lt;-</span> <span class="va">value</span></span></code></pre></div>
+    </div>
+
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-params">params<a class="anchor" aria-label="anchor" href="#arg-params"></a></dt>
+<dd><p>A MizerParams object.</p></dd>
+
+
+<dt id="arg-value">value<a class="anchor" aria-label="anchor" href="#arg-value"></a></dt>
+<dd><p>A single logical value (<code>TRUE</code> or <code>FALSE</code>).</p></dd>
+
+</dl></div>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p><code>use_predation_diffusion()</code>: A single logical value.</p>
+<p><code>use_predation_diffusion&lt;-</code>: A MizerParams object with the
+<code>use_predation_diffusion</code> flag updated.</p>
+    </div>
+    <div class="section level2">
+    <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
+    <div class="dont-index"><p>Other functions for setting parameters:
+<code><a href="gear_params.html">gear_params()</a></code>,
+<code><a href="setExtDiffusion.html">setExtDiffusion()</a></code>,
+<code><a href="setExtEncounter.html">setExtEncounter()</a></code>,
+<code><a href="setExtMort.html">setExtMort()</a></code>,
+<code><a href="setFishing.html">setFishing()</a></code>,
+<code><a href="setInitialValues.html">setInitialValues()</a></code>,
+<code><a href="setInteraction.html">setInteraction()</a></code>,
+<code><a href="setMaxIntakeRate.html">setMaxIntakeRate()</a></code>,
+<code><a href="setMetabolicRate.html">setMetabolicRate()</a></code>,
+<code><a href="setParams.html">setParams()</a></code>,
+<code><a href="setPredKernel.html">setPredKernel()</a></code>,
+<code><a href="setReproduction.html">setReproduction()</a></code>,
+<code><a href="setSearchVolume.html">setSearchVolume()</a></code>,
+<code><a href="species_params.html">species_params()</a></code></p></div>
+    </div>
+
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside></div>
+
+
+    <footer><div class="pkgdown-footer-left">
+  <p>Developed by <a href="https://www.york.ac.uk/maths/staff/gustav-delius/" class="external-link">Gustav Delius</a>, Finlay Scott, <a href="http://www.utas.edu.au/profiles/staff/imas/julia-blanchard" class="external-link">Julia Blanchard</a>, <a href="https://ken.haste.dk/" class="external-link">Ken Andersen</a>.</p>
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diff --git a/docs/reference/usesExtensionDispatch.html b/docs/reference/usesExtensionDispatch.html
new file mode 100644
index 000000000..5181f8a75
--- /dev/null
+++ b/docs/reference/usesExtensionDispatch.html
@@ -0,0 +1,126 @@
+<!DOCTYPE html>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en-GB"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Test whether a mizer object uses extension S4 dispatch — usesExtensionDispatch • mizer</title><!-- favicons --><link rel="icon" type="image/png" sizes="96x96" href="../favicon-96x96.png"><link rel="icon" type="”image/svg+xml”" href="../favicon.svg"><link rel="apple-touch-icon" sizes="180x180" href="../apple-touch-icon.png"><link rel="icon" sizes="any" href="../favicon.ico"><link rel="manifest" href="../site.webmanifest"><!-- mathjax math --><script src="https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/tex-mml-chtml.js" integrity="sha256-MASABpB4tYktI2Oitl4t+78w/lyA+D7b/s9GEP0JOGI=" crossorigin="anonymous"></script><script>
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+  };
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Test whether a mizer object uses extension S4 dispatch — usesExtensionDispatch"><meta name="description" content="Test whether a mizer object uses extension S4 dispatch"><meta property="og:description" content="Test whether a mizer object uses extension S4 dispatch"><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
+    <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
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+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/model_description.html">The General Mizer Size-spectrum Model</a></li>
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+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
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+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
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+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
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+<li class="nav-item dropdown">
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-lightswitch" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true" aria-label="Light switch"><span class="fa fa-sun"></span></button>
+  <ul class="dropdown-menu dropdown-menu-end" aria-labelledby="dropdown-lightswitch"><li><button class="dropdown-item" data-bs-theme-value="light"><span class="fa fa-sun"></span> Light</button></li>
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+      </ul></div>
+
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+  </div>
+</nav><div class="container template-reference-topic">
+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Test whether a mizer object uses extension S4 dispatch</h1>
+      <small class="dont-index">Source: <a href="https://github.com/sizespectrum/mizer/blob/HEAD/R/registerExtensions.R" class="external-link"><code>R/registerExtensions.R</code></a></small>
+      <div class="d-none name"><code>usesExtensionDispatch.Rd</code></div>
+    </div>
+
+    <div class="ref-description section level2">
+    <p>Test whether a mizer object uses extension S4 dispatch</p>
+    </div>
+
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">usesExtensionDispatch</span><span class="op">(</span><span class="va">object</span><span class="op">)</span></span></code></pre></div>
+    </div>
+
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-object">object<a class="anchor" aria-label="anchor" href="#arg-object"></a></dt>
+<dd><p>A <code>MizerParams</code> or <code>MizerSim</code> object.</p></dd>
+
+</dl></div>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p><code>TRUE</code> if the object's primary class is not the plain base class.</p>
+    </div>
+
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diff --git a/docs/reference/validGearParams.html b/docs/reference/validGearParams.html
index 70678a136..3e944dd15 100644
--- a/docs/reference/validGearParams.html
+++ b/docs/reference/validGearParams.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Check validity of gear parameters and set defaults — validGearParams"><meta name="description" content="The function returns a valid gear parameter data frame that can be used
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Check validity of gear parameters and set defaults — validGearParams"><meta name="description" content="The function returns a valid gear parameter data frame that can be used
 by setFishing() or it gives an error message."><meta property="og:description" content="The function returns a valid gear parameter data frame that can be used
 by setFishing() or it gives an error message."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
@@ -15,7 +15,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -36,13 +36,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -52,7 +60,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
diff --git a/docs/reference/validParams.html b/docs/reference/validParams.html
index dccff6760..8c017702c 100644
--- a/docs/reference/validParams.html
+++ b/docs/reference/validParams.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Validate MizerParams object and upgrade if necessary — validParams"><meta name="description" content="Checks that the given MizerParams object is valid and upgrades it if
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Validate MizerParams object and upgrade if necessary — validParams"><meta name="description" content="Checks that the given MizerParams object is valid and upgrades it if
 necessary."><meta property="og:description" content="Checks that the given MizerParams object is valid and upgrades it if
 necessary."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
@@ -15,7 +15,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -36,13 +36,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -52,7 +60,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -82,7 +91,7 @@
 
     <div class="section level2">
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">validParams</span><span class="op">(</span><span class="va">params</span><span class="op">)</span></span></code></pre></div>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">validParams</span><span class="op">(</span><span class="va">params</span>, info_level <span class="op">=</span> <span class="fl">3</span><span class="op">)</span></span></code></pre></div>
     </div>
 
     <div class="section level2">
@@ -92,6 +101,11 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 <dl><dt id="arg-params">params<a class="anchor" aria-label="anchor" href="#arg-params"></a></dt>
 <dd><p>The MizerParams object to validate</p></dd>
 
+
+<dt id="arg-info-level">info_level<a class="anchor" aria-label="anchor" href="#arg-info-level"></a></dt>
+<dd><p>Controls the amount of information messages and warnings
+that are shown. Higher levels lead to more messages.</p></dd>
+
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
diff --git a/docs/reference/validSim.html b/docs/reference/validSim.html
index d3d0282ac..a5b5f7911 100644
--- a/docs/reference/validSim.html
+++ b/docs/reference/validSim.html
@@ -5,13 +5,15 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Validate MizerSim object and upgrade if necessary — validSim"><meta name="description" content="Checks that the given MizerSim object is valid and upgrades it if necessary.
-Checks whether any abundances are non-finite and if any are found, a warning
-is issued and the simulation is truncated at the last time step where all
-results are finite."><meta property="og:description" content="Checks that the given MizerSim object is valid and upgrades it if necessary.
-Checks whether any abundances are non-finite and if any are found, a warning
-is issued and the simulation is truncated at the last time step where all
-results are finite."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Validate MizerSim object and upgrade if necessary — validSim"><meta name="description" content="Checks that the given MizerSim object is valid and upgrades it if necessary.
+It also validates the embedded MizerParams-class() object with
+validParams(). If any entries of the consumer abundance array sim@n are
+non-finite, a warning is issued and the simulation is truncated at the last
+time step where sim@n is still finite."><meta property="og:description" content="Checks that the given MizerSim object is valid and upgrades it if necessary.
+It also validates the embedded MizerParams-class() object with
+validParams(). If any entries of the consumer abundance array sim@n are
+non-finite, a warning is issued and the simulation is truncated at the last
+time step where sim@n is still finite."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
 
 
@@ -19,7 +21,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -40,13 +42,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -56,7 +66,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -81,9 +92,10 @@
 
     <div class="ref-description section level2">
     <p>Checks that the given MizerSim object is valid and upgrades it if necessary.
-Checks whether any abundances are non-finite and if any are found, a warning
-is issued and the simulation is truncated at the last time step where all
-results are finite.</p>
+It also validates the embedded <code><a href="MizerParams-class.html">MizerParams-class()</a></code> object with
+<code><a href="validParams.html">validParams()</a></code>. If any entries of the consumer abundance array <code>sim@n</code> are
+non-finite, a warning is issued and the simulation is truncated at the last
+time step where <code>sim@n</code> is still finite.</p>
     </div>
 
     <div class="section level2">
diff --git a/docs/reference/validSpeciesParams.html b/docs/reference/validSpeciesParams.html
index 3d0ab3af7..b215fdadc 100644
--- a/docs/reference/validSpeciesParams.html
+++ b/docs/reference/validSpeciesParams.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Validate species parameter data frame — validSpeciesParams"><meta name="description" content="These functions check the validity of a species parameter frame and, where
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Validate species parameter data frame — validSpeciesParams"><meta name="description" content="These functions check the validity of a species parameter frame and, where
 necessary, make corrections. validGivenSpeciesParams() only checks and
 corrects the given species parameters but does not add default values for
 species parameters that were not provided. validSpeciesParams() first calls
@@ -23,7 +23,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -44,13 +44,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -60,7 +68,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -117,13 +126,13 @@ <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
     <p><code>validGivenSpeciesParams()</code> checks the validity of the given species
-parameter It throws an error if</p><ul><li><p>the <code>species</code> column does not exist or contains duplicates</p></li>
+parameters. It throws an error if</p><ul><li><p>the <code>species</code> column does not exist or contains duplicates</p></li>
 <li><p>the maximum size is not specified for all species</p></li>
 </ul><p>If a weight-based parameter is missing but the corresponding length-based
 parameter is given, as well as the <code>a</code> and <code>b</code> parameters for length-weight
 conversion, then the weight-based parameters are added. If both length and
-weight are given, then weight is used and a warning is issued if the two are
-inconsistent.</p>
+weight are given, then weight is used and an <code>info_about_default</code> condition
+is signalled if the two are inconsistent.</p>
 <p>If a <code>w_inf</code> column is given but no <code>w_max</code> then the value from <code>w_inf</code> is
 used. This is for backwards compatibility. But note that the von Bertalanffy
 parameter <code>w_inf</code> is not the maximum size of the largest individual, but the
@@ -149,6 +158,10 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
 <li><p><code>interaction_resource</code> is set to <code>1</code></p></li>
 <li><p><code>n</code> is set to <code>3/4</code></p></li>
 <li><p><code>p</code> is set to <code>n</code></p></li>
+<li><p><code>z_ext</code> is set to <code>0</code></p></li>
+<li><p><code>d</code> is set to <code>n - 1</code></p></li>
+<li><p><code>E_ext</code> is set to <code>0</code></p></li>
+<li><p><code>D_ext</code> is set to <code>0</code></p></li>
 </ul><p>Note that the species parameters returned by these functions are not
 guaranteed to produce a viable model. More checks of the parameters are
 performed by the individual rate-setting functions (see <code><a href="setParams.html">setParams()</a></code> for the
diff --git a/docs/reference/valid_gears_arg.html b/docs/reference/valid_gears_arg.html
index 9276dec90..4a301a77b 100644
--- a/docs/reference/valid_gears_arg.html
+++ b/docs/reference/valid_gears_arg.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Helper function to assure validity of gears argument — valid_gears_arg"><meta name="description" content="If the gears argument contains invalid gears, then these are
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Helper function to assure validity of gears argument — valid_gears_arg"><meta name="description" content="If the gears argument contains invalid gears, then these are
 ignored but a warning is issued."><meta property="og:description" content="If the gears argument contains invalid gears, then these are
 ignored but a warning is issued."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
@@ -15,7 +15,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -36,13 +36,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -52,7 +60,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
@@ -106,7 +115,9 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    <p>A vector of gear names.</p>
+    <p>A vector of gear names in the same order as supplied in <code>gears</code>,
+with invalid names removed. If <code>gears</code> is <code>NULL</code>, all gears are returned
+in the order stored in the model.</p>
     </div>
 
   </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
diff --git a/docs/reference/valid_species_arg.html b/docs/reference/valid_species_arg.html
index 56f112670..9eb001d70 100644
--- a/docs/reference/valid_species_arg.html
+++ b/docs/reference/valid_species_arg.html
@@ -5,7 +5,7 @@
       fontURL: "https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/output/chtml/fonts/woff-v2"
     }
   };
-</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.1/jquery-3.6.1.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Helper function to assure validity of species argument — valid_species_arg"><meta name="description" content="If the species argument contains invalid species, then these are
+</script><script src="../lightswitch.js"></script><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.5.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.5.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Helper function to assure validity of species argument — valid_species_arg"><meta name="description" content="If the species argument contains invalid species, then these are
 ignored but a warning is issued."><meta property="og:description" content="If the species argument contains invalid species, then these are
 ignored but a warning is issued."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
@@ -15,7 +15,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">mizer</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.5.4</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.5.4.9125</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -36,13 +36,21 @@
     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
     <li><a class="dropdown-item" href="../articles/running_a_simulation.html">Running a Simulation</a></li>
     <li><a class="dropdown-item" href="../articles/exploring_the_simulation_results.html">Exploring the Simulation Results</a></li>
+    <li><a class="dropdown-item" href="../articles/cheatsheet.html">Cheatsheet: Analysis and Plotting</a></li>
     <li><a class="dropdown-item" href="../articles/a_multispecies_model_of_the_north_sea.html">A Multi-Species Model of the North Sea</a></li>
     <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/predation_diffusion.html">Incorporating predation diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/cohort_dynamics_and_diffusion.html">Cohort dynamics and diffusion</a></li>
+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/extension-packages.html">Creating a mizer extension package</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>Publications</h6></li>
     <li><a class="dropdown-item" href="../articles/publications.html">Publications</a></li>
     <li><hr class="dropdown-divider"></li>
     <li><h6 class="dropdown-header" data-toc-skip>For developers</h6></li>
+    <li><a class="dropdown-item" href="../articles/numerical_details.html">The Numerical Scheme used in Mizer</a></li>
+    <li><a class="dropdown-item" href="../articles/mathematical_details.html">Mathematical Details of the Mizer Implementation</a></li>
+    <li><a class="dropdown-item" href="../articles/analytic_test.html">Analytic Test</a></li>
     <li><a class="dropdown-item" href="../articles/developer_vignette.html">Developer Guide</a></li>
     <li><a class="dropdown-item" href="../articles/working_with_git.html">Working with git and GitHub</a></li>
     <li><a class="dropdown-item" href="../articles/developer_FAQ.html">Developer FAQ</a></li>
@@ -52,7 +60,8 @@
   </ul></li>
 <li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
-      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
  <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://blog.mizer.sizespectrum.org">Blog</a></li>
 <li class="nav-item"><a class="external-link nav-link" href="https://twitter.com/mizer_model" aria-label="Twitter"><span class="fa fab fa-twitter fa-lg"></span></a></li>
diff --git a/docs/reference/validateExtensionsVector.html b/docs/reference/validateExtensionsVector.html
new file mode 100644
index 000000000..f264dda9d
--- /dev/null
+++ b/docs/reference/validateExtensionsVector.html
@@ -0,0 +1,129 @@
+<!DOCTYPE html>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en-GB"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Validate and normalise an extensions named character vector — validateExtensionsVector • mizer</title><!-- favicons --><link rel="icon" type="image/png" sizes="96x96" href="../favicon-96x96.png"><link rel="icon" type="”image/svg+xml”" href="../favicon.svg"><link rel="apple-touch-icon" sizes="180x180" href="../apple-touch-icon.png"><link rel="icon" sizes="any" href="../favicon.ico"><link rel="manifest" href="../site.webmanifest"><!-- mathjax math --><script src="https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/tex-mml-chtml.js" integrity="sha256-MASABpB4tYktI2Oitl4t+78w/lyA+D7b/s9GEP0JOGI=" crossorigin="anonymous"></script><script>
+  window.MathJax = {
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+syntactically valid names, and normalises NULL to character()."><meta property="og:description" content="Checks that extensions is a named character vector with unique,
+syntactically valid names, and normalises NULL to character()."><meta property="og:image" content="https://sizespectrum.org/mizer/reference/figures/logo.png"><meta property="og:image:alt" content="mizer: Multi-Species Size Spectrum Modelling in R"><meta name="twitter:card" content="summary"><meta name="twitter:creator" content="@mizer_model"><meta name="twitter:site" content="@mizer_model"></head><body>
+    <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
+
+
+    <nav class="navbar navbar-expand-lg fixed-top " aria-label="Site navigation"><div class="container">
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+
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+    <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
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+
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+<li class="nav-item"><a class="external-link nav-link" href="https://mizer.course.sizespectrum.org">Course</a></li>
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+    <li><a class="dropdown-item" href="../articles/trait_model.html">The Trait-Based Model</a></li>
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+    <li><a class="dropdown-item" href="../articles/plotting.html">Using ggplot2 and plotly with mizer</a></li>
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+    <li><a class="dropdown-item" href="../articles/extensions.html">Extending mizer</a></li>
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+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://notebooklm.google.com/notebook/6aa51f75-d1a8-4140-9180-84532ef5f821"><span class="fa fa-robot"></span> Ask AI</a></li>
+<li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
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+</nav><div class="container template-reference-topic">
+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Validate and normalise an extensions named character vector</h1>
+      <small class="dont-index">Source: <a href="https://github.com/sizespectrum/mizer/blob/HEAD/R/registerExtensions.R" class="external-link"><code>R/registerExtensions.R</code></a></small>
+      <div class="d-none name"><code>validateExtensionsVector.Rd</code></div>
+    </div>
+
+    <div class="ref-description section level2">
+    <p>Checks that <code>extensions</code> is a named character vector with unique,
+syntactically valid names, and normalises <code>NULL</code> to <code><a href="https://rdrr.io/r/base/character.html" class="external-link">character()</a></code>.</p>
+    </div>
+
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">validateExtensionsVector</span><span class="op">(</span><span class="va">extensions</span><span class="op">)</span></span></code></pre></div>
+    </div>
+
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-extensions">extensions<a class="anchor" aria-label="anchor" href="#arg-extensions"></a></dt>
+<dd><p>A named character vector, or <code>NULL</code>.</p></dd>
+
+</dl></div>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p>A validated named character vector (possibly length-zero).</p>
+    </div>
+
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside></div>
+
+
+    <footer><div class="pkgdown-footer-left">
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diff --git a/docs/reference/w.html b/docs/reference/w.html
index 25d1b37fe..9eebacec6 100644
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@@ -5,7 +5,7 @@
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     <li><a class="dropdown-item" href="../articles/multispecies_model.html">The Multi Species Model</a></li>
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-[{"path":"https://sizespectrum.org/mizer/AGENTS.html","id":null,"dir":"","previous_headings":"","what":"Coding Instructions","title":"Coding Instructions","text":"Please refer .github/copilot-instructions.md project guidelines.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/CONTRIBUTING.html","id":"use-the-issue-tracker","dir":"","previous_headings":"","what":"Use the issue tracker","title":"How you can contribute to mizer development","text":"question mizer, problem using mizer, report bug mizer, idea something added made better mizer, please hesitate letting us know creating new issue https://github.com/sizespectrum/mizer/issues/. can drop us line mizer@sizespectrum.org make post size-spectrum discussion group.","code":""},{"path":"https://sizespectrum.org/mizer/CONTRIBUTING.html","id":"improve-the-documentation","dir":"","previous_headings":"","what":"Improve the documentation","title":"How you can contribute to mizer development","text":"Errors, shortcomings comment documentation can also submited issue issue tracker. case know correct error make improvement , can also help us editing page. top documentation pages link page source GitHub. page “Edit file” button looks like pencil. Click edit page. save edits GitHub guides process creating pull request edits, make super-easy us merge suggestions. even small contributions like removal simple typo welcome.","code":""},{"path":"https://sizespectrum.org/mizer/CONTRIBUTING.html","id":"contribute-an-example","dir":"","previous_headings":"","what":"Contribute an example","title":"How you can contribute to mizer development","text":"set mizer model area interest research question, please share us. best place MizerExamples package. Start creating issue package’s issue tracker just send email mizer@sizespectrum.org. discuss best integrate example package make useful others.","code":""},{"path":"https://sizespectrum.org/mizer/CONTRIBUTING.html","id":"contribute-code","dir":"","previous_headings":"","what":"Contribute code","title":"How you can contribute to mizer development","text":"happy receive pull requests new code bug fix. contribution appreciated community. new feature, best place submit pull request MizerExperimental package. feature can mature ready incorporated either core mizer package one extension packages.","code":""},{"path":"https://sizespectrum.org/mizer/CONTRIBUTING.html","id":"increase-mizer-usage-and-awareness","dir":"","previous_headings":"","what":"Increase mizer usage and awareness","title":"How you can contribute to mizer development","text":"forget mention use mizer documents publications. Use get citation info main reference mizer. can also link website https://sizespectrum.org/mizer/ readers can find project.","code":"citation('mizer')"},{"path":"https://sizespectrum.org/mizer/articles/a_multispecies_model_of_the_north_sea.html","id":"setting-up-the-north-sea-model","dir":"Articles","previous_headings":"","what":"Setting up the North Sea model","title":"A Multi-Species Model of the North Sea","text":"first job set MizerParams object North Sea model. previous multispecies examples already using life-history parameters interaction matrix North Sea model. use make changes. particular set fishing gears differently. species model : Sprat, Sandeel, N.pout, Herring, Dab, Whiting, Sole, Gurnard, Plaice, Haddock, Cod, Saithe, account 90% total biomass species sampled research trawl surveys North Sea. NS_species_params object comes example mizer package data.frame columns species, w_max, w_mat, beta, sigma, k_vb R_max. seen columns species data.frame sufficient make MizerParams object. missing columns filled default values MizerParams constructor. example, data.frame include columns h gamma. means estimated using k_vb column. use default density dependence reproduction rate, Beverton-Holt shape. requires column R_max species data.frame contains maximum reproduction rate species. column already NS_species_params data.frame. values found calibration process covered described separate tutorial. moment providing information selectivity gears species. default, selectivity function knife-edge takes single argument, knife_edge_size. model want selectivity pattern sigmoid shape accurately reflects selectivity pattern trawlers North Sea. sigmoid selectivity function expressed terms length rather weight uses parameters l25 l50, lengths 25% 50% stock selected. length based sigmoid selectivity looks like: \\[\\begin{equation} %     {#eq:trawl_sel}     S_l = \\frac{1}{1 + \\exp(S1 - S2\\ l)} \\end{equation}\\] \\(l\\) length individual, \\(S_l\\) selectivity length, \\(S2 = \\log(3) / (l50 - l25)\\) \\(S1 = l50 \\cdot S2\\). selectivity function included mizer sigmoid_length(). can see help page details. mizer model weight based, selectivity function length based, uses length-weight parameters b convert length weight using standard relation \\(w = l^b\\). species parameters need added columns NS_species_params data frame. sigmoid_length() arguments l25 l50. explained section fishing gears selectivity, arguments selectivity function need gear parameter data frame. also need column specifying name selectivity function wish use. Note probably easier put data *.csv file read rather type hand like : Note set gear column species caught separate gear named species. model interested projecting forward using historical fishing mortalities. historical fishing mortality 1967 2010 species stored csv file NS_f_history.csv included package. , can use read.csv() read data. reads data data.frame. want matrix use () function: can take look first years data: Fishing mortality calculated product selectivity, catchability fishing effort. values f_history absolute levels fishing mortality. seen fishing mortality mizer simulations driven fishing effort argument passed project() function. Therefore want project forward historical fishing levels, need provide project() effort values result historical fishing mortality levels. One model parameters really considered far catchability. Catchability scalar parameter used modify fishing mortality size given selectivity size effort fishing gear. default catchability value 1, meaning effort 1 results fishing mortality 1 fully selected species. considering historical fishing mortality, one option therefore leave catchability 1 species use f_history matrix fishing effort. However, alternative method use effort relative chosen reference year. can make effort levels used model meaningful. use year 1990 reference year. set catchability species fishing mortality 1990 effort 1 1990 result fishing mortality 1990. effort years relative effort 1990. Considering model parameters, use default values parameters apart kappa, carrying capacity resource spectrum (see see section resource density). estimated along values R_max part calibration process. now information need create MizerParams object using species parameters data.frame.","code":"NS_species_params ##    species   w_max w_mat   beta sigma  k_vb    R_max   w_inf ## 1    Sprat    33.0    13  51076   0.8 0.681 7.38e+11    33.0 ## 2  Sandeel    36.0     4 398849   1.9 1.000 4.10e+11    36.0 ## 3   N.pout   100.0    23     22   1.5 0.849 1.05e+13   100.0 ## 4  Herring   334.0    99 280540   3.2 0.606 1.11e+12   334.0 ## 5      Dab   324.0    21    191   1.9 0.536 1.12e+10   324.0 ## 6  Whiting  1192.0    75     22   1.5 0.323 5.48e+11  1192.0 ## 7     Sole   866.0    78    381   1.9 0.284 3.87e+10   866.0 ## 8  Gurnard   668.0    39    283   1.8 0.266 1.65e+12   668.0 ## 9   Plaice  2976.0   105    113   1.6 0.122 4.08e+14  2976.0 ## 10 Haddock  4316.5   165    558   2.1 0.271 1.84e+12  4316.5 ## 11     Cod 39851.3  1606     66   1.3 0.216 8.26e+09 39851.3 ## 12  Saithe 39658.6  1076     40   1.1 0.175 1.12e+11 39658.6 NS_species_params$a <- c(0.007, 0.001, 0.009, 0.002, 0.010, 0.006, 0.008, 0.004,                       0.007, 0.005, 0.005, 0.007) NS_species_params$b <- c(3.014, 3.320, 2.941, 3.429, 2.986, 3.080, 3.019, 3.198,                       3.101, 3.160, 3.173, 3.075) gear_params <-      data.frame(species = NS_species_params$species,                gear = NS_species_params$species,                sel_func = \"sigmoid_length\",                l25 =  c(7.6, 9.8, 8.7, 10.1, 11.5, 19.8, 16.4, 19.8, 11.5,                         19.1, 13.2, 35.3),                l50 = c(8.1, 11.8, 12.2, 20.8, 17.0, 29.0, 25.8, 29.0, 17.0,                        24.3, 22.9, 43.6)) gear_params ##    species    gear       sel_func  l25  l50 ## 1    Sprat   Sprat sigmoid_length  7.6  8.1 ## 2  Sandeel Sandeel sigmoid_length  9.8 11.8 ## 3   N.pout  N.pout sigmoid_length  8.7 12.2 ## 4  Herring Herring sigmoid_length 10.1 20.8 ## 5      Dab     Dab sigmoid_length 11.5 17.0 ## 6  Whiting Whiting sigmoid_length 19.8 29.0 ## 7     Sole    Sole sigmoid_length 16.4 25.8 ## 8  Gurnard Gurnard sigmoid_length 19.8 29.0 ## 9   Plaice  Plaice sigmoid_length 11.5 17.0 ## 10 Haddock Haddock sigmoid_length 19.1 24.3 ## 11     Cod     Cod sigmoid_length 13.2 22.9 ## 12  Saithe  Saithe sigmoid_length 35.3 43.6 f_location <- system.file(\"extdata\", \"NS_f_history.csv\", package = \"mizer\") f_history <- as(read.csv(f_location, row.names = 1), \"matrix\") head(f_history) ##      Sprat Sandeel N.pout   Herring        Dab   Whiting      Sole Gurnard ## 1967     0       0      0 1.0360279 0.09417655 0.8294528 0.6502019       0 ## 1968     0       0      0 1.7344576 0.07376065 0.8008995 0.7831250       0 ## 1969     0       0      0 1.4345001 0.07573638 1.3168280 0.8744095       0 ## 1970     0       0      0 1.4342405 0.10537236 1.3473505 0.6389915       0 ## 1971     0       0      0 1.8234973 0.08385884 0.9741884 0.8167561       0 ## 1972     0       0      0 0.9033768 0.09044461 1.3148588 0.7382834       0 ##         Plaice   Haddock       Cod    Saithe ## 1967 0.4708827 0.7428694 0.6677456 0.4725102 ## 1968 0.3688033 0.7084553 0.6994389 0.4270201 ## 1969 0.3786819 1.3302821 0.6917888 0.3844648 ## 1970 0.5268618 1.3670695 0.7070891 0.5987086 ## 1971 0.4192942 0.9173131 0.7737543 0.4827822 ## 1972 0.4522231 1.3279087 0.8393267 0.5796321 gear_params$catchability <- as.numeric(f_history[\"1990\", ]) params <- newMultispeciesParams(NS_species_params,                                  interaction = inter,                                  kappa = 9.27e10,                                 gear_params = gear_params) ## Because you have n != p, the default value for `h` is not very good. ## Because the age at maturity is not known, I need to fall back to using ## von Bertalanffy parameters, where available, and this is not reliable. ## No ks column so calculating from critical feeding level. ## Using z0 = z0pre * w_max ^ z0exp for missing z0 values. ## Using f0, h, lambda, kappa and the predation kernel to calculate gamma."},{"path":"https://sizespectrum.org/mizer/articles/a_multispecies_model_of_the_north_sea.html","id":"setting-up-and-running-the-simulation","dir":"Articles","previous_headings":"","what":"Setting up and running the simulation","title":"A Multi-Species Model of the North Sea","text":"set catchability level fishing mortality 1990, can run projection need rescale effort matrix get matrix efforts relative 1990. want rescale f_history object 1990 relative fishing effort 1990 = 1. done using R function sweep(). check rows effort matrix check happened: just project forward relative efforts. However, population dynamics early years strongly determined initial population abundances (known transient behaviour - essentially initial behaviour long term dynamics reached). ecology, don’t know initial abundance . One way around project forward constant fishing mortality equal mortality first historical year equilibrium reached. use steady state initial state simulation. approach reduces impact transient dynamics. now parameter object matrix efforts relative 1990. use effort matrix effort argument project() function. use dt = 0.25 (simulation run faster default value 0.1, tests show results still stable) save results every year. Plotting results, can see biomasses stocks change time.  explore state community useful calculate indicators unexploited community. Therefore also project forward steady state 0 fishing effort.","code":"relative_effort <- sweep(f_history, 2, f_history[\"1990\", ], \"/\") relative_effort[as.character(1988:1992), ] ##          Sprat   Sandeel    N.pout  Herring      Dab   Whiting      Sole ## 1988 0.8953804 1.2633229 0.8953804 1.214900 1.176678 0.9972560 1.2786517 ## 1989 1.1046196 1.2931034 1.1046196 1.232790 1.074205 0.8797926 0.9910112 ## 1990 1.0000000 1.0000000 1.0000000 1.000000 1.000000 1.0000000 1.0000000 ## 1991 1.1902174 0.8814002 1.1902174 1.108016 1.143110 0.8096927 1.0044944 ## 1992 1.2500000 0.8500522 1.2500000 1.316576 1.113074 0.7718676 0.9505618 ##        Gurnard   Plaice   Haddock      Cod    Saithe ## 1988 0.0000000 1.176678 0.9946140 1.045964 1.0330579 ## 1989 0.0000000 1.074205 0.8545781 1.060538 1.1223140 ## 1990 1.0000000 1.000000 1.0000000 1.000000 1.0000000 ## 1991 0.8096927 1.143110 0.7971275 1.001121 0.9619835 ## 1992 0.7718676 1.113074 0.8797127 0.970852 1.0528926 params <- projectToSteady(params, effort = relative_effort[\"1967\", ]) ## Convergence was achieved in 24 years. sim <- project(params, effort = relative_effort, dt = 0.25, t_save = 1) plotBiomass(sim) sim0 <- projectToSteady(params, effort = 0, return_sim = TRUE) ## Convergence was achieved in 42 years."},{"path":"https://sizespectrum.org/mizer/articles/a_multispecies_model_of_the_north_sea.html","id":"exploring-the-model-outputs","dir":"Articles","previous_headings":"","what":"Exploring the model outputs","title":"A Multi-Species Model of the North Sea","text":"look ways results simulation can explored. calculate community indicators mean maximum weight, mean individual weight, community slope large fish indicator (LFI) simulation period, compare unexploited values. also compare simulated values LFI community target based achieving high proportion unexploited value LFI \\(0.8 LFI_{F=0}\\). indicators calculated using functions described section indicator functions. calculate LFI community indicators unexploited community. calculating indicators include demersal species individuals size range 10 g 100 kg, LFI based species larger 40 cm. functions returns time series. interested equilibrium unexploited values just select final time step. also calculate time series indicators exploited community: can plot exploited unexploited indicators, along LFI reference level. using ggplot2 uses data.frames. make three data.frames (one time series, one unexploited levels one reference level): data.frame data.frame measures, stacked top . Historical (solid) unexploited (dashed) reference (dotted) community indicators North Sea multispecies model. According simulations, historically LFI North Sea reference level.","code":"demersal_species <- c(\"Dab\", \"Whiting\", \"Sole\", \"Gurnard\", \"Plaice\",                       \"Haddock\", \"Cod\", \"Saithe\") final <- idxFinalT(sim0) lfi0 <- getProportionOfLargeFish(sim0, species = demersal_species,                                  min_w = 10, max_w = 100e3,                                   threshold_l = 40)[[final]] mw0 <- getMeanWeight(sim0, species = demersal_species,                      min_w = 10, max_w = 100e3)[[final]] mmw0 <- getMeanMaxWeight(sim0, species = demersal_species,                          min_w = 10, max_w = 100e3)[final, \"mmw_biomass\"] slope0 <- getCommunitySlope(sim0, species = demersal_species,                             min_w = 10, max_w = 100e3)[final, \"slope\"] lfi <- getProportionOfLargeFish(sim, species = demersal_species,                                 min_w = 10, max_w = 100e3,                                  threshold_l = 40) mw <- getMeanWeight(sim, species = demersal_species,                     min_w = 10, max_w = 100e3) mmw <- getMeanMaxWeight(sim, species = demersal_species, min_w = 10,                         max_w = 100e3)[, \"mmw_biomass\"] slope <- getCommunitySlope(sim, species = demersal_species, min_w = 10,                            max_w = 100e3)[, \"slope\"] library(ggplot2) years <- 1967:2010 # Simulated data community_plot_data <- rbind(     data.frame(year = years, measure = \"LFI\", data = lfi),     data.frame(year = years, measure = \"Mean Weight\", data = mw),     data.frame(year = years, measure = \"Mean Max Weight\", data = mmw),     data.frame(year = years, measure = \"Slope\", data = slope)) # Unexploited data community_unfished_data <- rbind(     data.frame(year = years, measure = \"LFI\", data = lfi0),     data.frame(year = years, measure = \"Mean Weight\", data = mw0),     data.frame(year = years, measure = \"Mean Max Weight\", data = mmw0),     data.frame(year = years, measure = \"Slope\", data = slope0)) # Reference level community_reference_level <-     data.frame(year = years, measure = \"LFI\", data = lfi0 * 0.8) # Build up the plot ggplot(community_plot_data) +      geom_line(aes(x = year, y = data)) +     facet_wrap(~measure, scales = \"free\") +      geom_line(aes(x = year, y = data), linetype = \"dashed\",               data = community_unfished_data) +     geom_line(aes(x = year, y = data), linetype = \"dotted\",               data = community_reference_level)"},{"path":"https://sizespectrum.org/mizer/articles/a_multispecies_model_of_the_north_sea.html","id":"future-projections","dir":"Articles","previous_headings":"","what":"Future projections","title":"A Multi-Species Model of the North Sea","text":"well investigating historical simulations, can run projections future. run two projections 2050 different fishing scenarios. Continue fishing 2010 levels (status quo scenario). 2010 2015 linearly change fishing mortality approach \\(F_{MSY}\\) continue \\(F_{MSY}\\) 2050. Rather looking community indicators , calculate SSB species model compare projected levels biodiversity target based reference point \\(0.1 SSB_{F=0}.\\) can run simulations, need set arrays future effort. continue use effort relative level 1990. build existing array relative effort make array first scenario. Note use t() command transpose array. needed R recycles rows, need build array dimensions rotated start . make array future effort, bind underneath relative_effort array used previous section. relative effort array second scenario complicated make requires little bit R gymnastics (might easier prepare spreadsheet read ). one need values \\(F_{MSY}\\). now ready project two scenarios. can now compare projected SSB values scenarios biodiversity reference points. First calculate biodiversity reference points (final time step unexploited sim0 simulation): Now build data.frame projected SSB species. make use melt() function transform arrays data frames. Historical projected SSB two fishing scenarios. Status quo (red), Fmsy (yellow). Unexploited (blue) reference levels (purple) also shown.","code":"scenario1 <- t(array(relative_effort[\"2010\", ], dim = c(12, 40),     dimnames = list(NULL, year = 2011:2050))) scenario1 <- rbind(relative_effort, scenario1) fmsy <- c(Sprat = 0.2, Sandeel = 0.2, N.pout = 0.2, Herring = 0.25, Dab = 0.2,     Whiting = 0.2, Sole = 0.22, Gurnard = 0.2, Plaice = 0.25, Haddock = 0.3,     Cod = 0.19, Saithe = 0.3) scenario2 <- t(array(fmsy, dim = c(12, 40),                       dimnames = list(NULL, year = 2011:2050))) scenario2 <- rbind(relative_effort, scenario2) for (sp in dimnames(scenario2)[[2]]) {     scenario2[as.character(2011:2015), sp] <- scenario2[\"2010\", sp] +         (((scenario2[\"2015\", sp] - scenario2[\"2010\", sp]) / 5) * 1:5) } sim1 <- project(params, effort = scenario1, dt = 0.25) sim2 <- project(params, effort = scenario2, dt = 0.25) ssb0 <- getSSB(sim0)[final, ] years <- 1967:2050 ssb1_df <- melt(getSSB(sim1)) ssb2_df <- melt(getSSB(sim2)) ssb_df <- rbind(     cbind(ssb1_df, scenario = \"Status quo\"),     cbind(ssb2_df, scenario = \"Fmsy\")) ssb_unexploited_df <- cbind(expand.grid(     sp = names(ssb0),     time = 1967:2050),     value = as.numeric(ssb0),     scenario = \"Unexploited\") ssb_reference_df <- cbind(expand.grid(     sp = names(ssb0),     time = 1967:2050),     value = as.numeric(ssb0 * 0.1),     scenario = \"Reference\") ssb_all_df <- rbind(ssb_df, ssb_unexploited_df, ssb_reference_df) colours <- c(\"Status quo\" = \"red\", \"Fmsy\" = \"yellow\",              \"Unexploited\" = \"blue\", \"Reference\" = \"purple\") ggplot(ssb_all_df) +     geom_line(aes(x = time, y = value, colour = scenario)) +     facet_wrap(~sp, scales = \"free\", nrow = 4) +     theme(legend.position = \"none\") +     scale_colour_manual(values = colours)"},{"path":"https://sizespectrum.org/mizer/articles/community_model.html","id":"sec:set_up_comm_model","dir":"Articles","previous_headings":"","what":"Setting up a community model","title":"The Community Model","text":"first stage implementing model using mizer create object class MizerParams. class contains model parameters including life-history parameters species model, fishing selectivity functions parameters resource spectrum. avoid make MizerParams object directly, newCommunityParams() wrapper function, provided conveniently creates MizerParams object specifically community model. documentation function can seen clicking function name anywhere appears page: newCommunityParams(). can seen help page, function can take many arguments. can ignore moment almost come default values. arguments pay attention : z0 (external mortality rate), alpha (assimilation efficiency community), f0 (average feeding level community, used calculate \\(\\gamma\\)) h (coefficient maximum intake rate). Although default values parameters provided, encouraged explore changing values affects simulated community. example, default value z0 \\(0.1\\). Increasing value effectively ‘shortens’ length community spectrum. newCommunityParams() function called passing arguments name. parameter passed set default value. example, following line sets parameters z0 = 0.05, f0 = 0.5. parameters default value: Calling function creates returns object type MizerParams. can check using class() function. work mizer worry object realised internally. need know contains information needed run model simulations mizer provides functions access, use modify information. brief description model contained MizerParams object can seen calling summary() method : summary can see size range community spectrum set \\(0.001\\) \\(10^{6}\\) divided \\(100\\) size bins. Similar information available resource spectrum. Additionally, community made one species, called Community, maximum size \\(10^{6}\\) preferred predator prey mass ratio \\(100\\). w_mat parameter set NA used running community model. values set default using newCommunityParams() function.","code":"params <- newCommunityParams(z0 = 0.05, f0 = 0.5) class(params) ## [1] \"MizerParams\" ## attr(,\"package\") ## [1] \"mizer\" summary(params) ## An object of class \"MizerParams\"  ## Consumer size spectrum: ##  minimum size:   0.001 ##  maximum size:   1e+06 ##  no. size bins:  100 ## Resource size spectrum: ##  minimum size:   8.11131e-11 ##  maximum size:   0.000811131 ##  no. size bins:  78  (178 size bins in total) ## Species details: ##     species w_max  w_mat w_min  f0 beta sigma ## 1 Community 1e+06 250000 0.001 0.5  100     2 ##  ## Fishing gear details: ## Gear          Effort  Target species  ##  ---------------------------------- ## Community      0.00   Community"},{"path":"https://sizespectrum.org/mizer/articles/community_model.html","id":"sec:running_comm_model","dir":"Articles","previous_headings":"","what":"Running the community model","title":"The Community Model","text":"newCommunityParams() function given us MizerParams object contains information mizer needs model community. can use perform simulation project community time. mizer package, projections performed using project() function. can see help page project() details described fully section running simulation. ignore details moment just use project() run simple projections. arguments project() need concerned effort, determines fishing effort (therefore fishing mortality) time, t_max, number years want project future. Initial population abundances set automatically (get_initial_n() function). possible set initial abundances . run projection 50 years, fishing effort (.e. want model unexploited community) run: resulting object, sim, type MizerSim. class holds results simulation, including community resource abundances size time, well original model parameters. explained detail section running simulation. running projection, possible explore results using range plots analyses. described fully section exploring simulation results. quickly look results projection can call plot() method. plots feeding level, predation mortality, fishing mortality abundance size last time step simulation, total biomass time. plots can shown individually desired.  plot several things going worth talking . Looking total biomass community time, can see biomass quickly reaches stable equilibrium. panels show happening last time step simulation, case community equilibrium. Fishing mortality 0 set effort argument 0 running simulation. predation mortality rate clearly function size, smallest sizes experiencing highest levels predation. feeding level describes satiated individual , 0 unfed, 1 full satiated. feeding level size strongly affected values f0 alpha arguments passed newCommunityParams() function. resource community spectra shown bottom panel plot (plotted resource spectrum truncated make better plot, really extends way back \\(8.11\\times 10^{-11}\\) g). can see community spectrum forms continuum resource spectrum. strongly affected level fixed reproduction rate (reproduction argument passed newCommunityParams()) Note hump biomass largest end community spectrum. size spectrum model can broadly described ‘big things eating little things’. Given , eating biggest things? Without fishing pressure, mortality largest individuals external mortality (determined z0 argument) mortality predation almost 0. difficult see plot due predation mortality high smaller individuals. can see clearly extracting predation mortality information MizerSim object, sim, created . easily done using getPredMort() function (see help page details). several functions can used extracting information MizerSim object, e.g. getFeedingLevel() getFMort(). information see section exploring simulation results. just call getPredMort() using sim object: resulting pred_mort object array contains predation mortality time species size. one species species dimension dropped, leaving us two dimensional array time size. projected model \\(50\\) time steps length time dimension \\(51\\) initial population also included time step. can get index final time pull predation mortality size final time step use: plot predation mortality log-log scale can see predation mortality declines almost zero largest sizes.  Note used w(sim) get vector sizes plot along x-axis specified wanted logarithmic axes. long run worthwhile use ggplot2 package creating plots, show also create graph ggplot(). detail see section using ggplot2 plotly mizer.","code":"sim <- project(params, t_max = 50, effort = 0) class(sim) ## [1] \"MizerSim\" ## attr(,\"package\") ## [1] \"mizer\" plot(sim) pred_mort <- getPredMort(sim) idxFinalT(sim) ## [1] 51 pred_mort_final <- pred_mort[idxFinalT(sim), ] plot(x = w(params), y = pred_mort_final, log = \"xy\", type = \"l\",       xlab = \"Size [g]\", ylab = \"Predation mortality [1/year]\") library(ggplot2) sd <- data.frame(x = w(params), y = pred_mort_final) ggplot(sd, aes(x = x, y = y)) +   geom_line() +   scale_x_log10() + scale_y_log10() +   xlab(\"Size [g]\") + ylab(\"Predation mortality [1/year]\") ## Warning in scale_y_log10(): log-10 transformation introduced ## infinite values."},{"path":"https://sizespectrum.org/mizer/articles/community_model.html","id":"sec:trophic_cascade_comm_model","dir":"Articles","previous_headings":"","what":"Example of a trophic cascade with the community model","title":"The Community Model","text":"possible use community model simulate trophic cascade. need perform two simulations, one fishing one without. means need consider fishing handled mizer. newCommunityParams() function automatically sets fishing selectivity knife-edge shape, individuals larger 1 kg selected (size knife-edge can changed setting knife_edge_size argument). Although possible change selectivity function, use default knife-edge selectivity. set parameter object default parameters: First perform simulation without fishing way setting effort argument 0: Now want simulate , time fishing. simulations, fishing mortality calculated product fishing selectivity, effort catchability (see section fishing gears details). default catchability set 1. means fishing effort 1 result fishing mortality 1/year fully selected sizes. run simulation fishing effort set 1 duration simulation: can compare difference scenarios using plot() method . particular interest fishing mortality size. knife-edge selectivity 1000 g can clearly seen effort 1 resulted fishing mortality 1 fully selected sizes.  explore presence trophic cascade, interested looking relative change abundance community fished compared fished. need get abundances size simulation objects. done N() function, returns three dimensional array dimensions time x species x size. 51 time steps (50 simulation plus one stores initial population), 1 species 100 sizes: want abundances final time step, can use calculate relative abundances: convenience, save determine index final time, mizer provides function finalN(), done can plotted using basic R plotting commands.  impact fishing species larger 1000g can clearly seen. fishing pressure lowers abundance large fish (decrease relative abundance 1000 g). relieves predation pressure smaller prey (preferred predator-prey size ratio given \\(\\beta\\) parameter, set 100 default), leading increase abundance. turn increases predation mortality smaller prey, reduces abundance .","code":"params_knife <- newCommunityParams() sim0 <- project(params_knife, effort = 0, t_max = 50) sim1 <- project(params_knife, effort = 1, t_max = 50) plot(sim1, power = 2) dim(N(sim0)) ## [1]  51   1 100 relative_abundance <- N(sim1)[51, , ] / N(sim0)[51, , ] relative_abundance <- finalN(sim1) / finalN(sim0) plot(x = w(params), y = relative_abundance, log = \"x\", type = \"n\",     xlab = \"Size (g)\", ylab = \"Relative abundance\") lines(x = w(params), y = relative_abundance) lines(x = c(min(w(params)), max(w(params))), y = c(1, 1), lty = 2)"},{"path":"https://sizespectrum.org/mizer/articles/community_model.html","id":"sec:comm_model_change_sigma","dir":"Articles","previous_headings":"","what":"The impact of changing \\(\\sigma\\)","title":"The Community Model","text":"described , \\(\\sigma\\) parameter determines width predator prey size preference. take look changing value \\(\\sigma\\) can affect dynamics community. examples , \\(\\sigma\\) set newCommunityParams() function default value \\(2\\). can see looking sigma column species_params data frame contained MizerParams object: projected time, community abundances converge stable equilibrium. happens reduce value \\(\\sigma\\), example setting 1.0? can passing new value \\(\\sigma\\) newCommunityParams(). want project new model time using project() function. project new parameter object 50 time steps without fishing save intervals 0.1 years (t_save = 0.1): Note introduced new argument: \\(dt\\). step size solver. anything biology model. affects internal engine project() performs projection. can see underlying model equations model description section, model formulated continuous time. Therefore, project forward, project() must solve system equations using numerical methods. quality methods strongly affected \\(dt\\). default value \\(dt\\) 0.1, fine projections run document. necessary reduce value 0.01 avoid introducing artefacts projected values. Decreasing \\(dt\\) increases time takes run projection. Let’s take look abundances change time. can plotBiomass() function:  plot shows abundances community longer converge stable equilibrium dynamics appear chaotic. ecological significance change dynamics, ability simple community models show chaotic behaviour, still debated. can argued size oscillations large ‘true’. Additionally, trait-based model implemented, magnitude oscillations much smaller. next section trait based model.","code":"species_params(params)$sigma ## [1] 2 params_sigma1 <- newCommunityParams(sigma = 1) sim_sigma1 <- project(params_sigma1, effort = 0, t_max = 50,                        dt = 0.01, t_save = 0.1) plotBiomass(sim_sigma1)"},{"path":"https://sizespectrum.org/mizer/articles/developer_vignette.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"Developer Guide","text":"guide need extend mizer meet needs research project. already read mizer model description vignette(\"model_description\") thus familiar mizer can box. now want implement extension modification model required research, need dive internal workings mizer. guide meant make easy possible. first thing , even reading guide, go https://github.com/sizespectrum/mizer/issues create new “issue”” share ideas plans mizer community. may get back valuable feedback advice. Another way get touch mizer community via size-spectrum modelling Google group.","code":""},{"path":"https://sizespectrum.org/mizer/articles/developer_vignette.html","id":"setting-up-working-environment","dir":"Articles","previous_headings":"","what":"Setting up working environment","title":"Developer Guide","text":"section describe set working environment allow easily work mizer code. Much may already place, feel free skip ahead.","code":""},{"path":"https://sizespectrum.org/mizer/articles/developer_vignette.html","id":"installing-r-rstudio-and-git","dir":"Articles","previous_headings":"Setting up working environment","what":"Installing R, RStudio and Git","title":"Developer Guide","text":"Mizer compatible R versions 3.1 later. still need install R, simply install latest version. guide prepared R version 4.5.2 (2025-10-31). guide assumes using RStudio work R. really reason use RStudio makes lot things much easier. RStudio develops rapidly adds useful features time pays upgrade latest version frequently. guide written version 1.2.1268. Mizer developed using version control system Git code hosted GitHub. contribute mizer code, need Git software installed system. Linux machines installed already, platforms need install . need install GUI git RStudio built-support git. good place learn using Git GitHub chapter guide Hadley R package development.","code":""},{"path":"https://sizespectrum.org/mizer/articles/developer_vignette.html","id":"forking-mizer-from-github","dir":"Articles","previous_headings":"Setting up working environment","what":"Forking mizer from GitHub","title":"Developer Guide","text":"work code create git repository copy mizer code. Go https://github.com/sizespectrum/mizer fork repository clicking “Fork” button. prompted log GitHub. yet account, need create one . fork mizer repository, create local copy whichever machine work . can within RStudio. click “Project” drop-select “New Project…”. Provided Git installed RStudio able find can choose “Git” next dialog box. Git option showing, need troubleshoot, perhaps https://happygitwithr.com/rstudio-see-git.html helps. can copy clipboard pressing button next URL paste back RStudio dialog box. dialog box can also change RStudio stores repository machine. Choose anywhere convenient. click “Create Project”.","code":""},{"path":"https://sizespectrum.org/mizer/articles/developer_vignette.html","id":"setting-up-rstudio-developer-tools","dir":"Articles","previous_headings":"Setting up working environment","what":"Setting up RStudio developer tools","title":"Developer Guide","text":"work R packages developer, need install additional tools. tools place, install devtools roxygen2 packages now set develop R packages, RStudio makes extra easy. even cheat sheet “Package Development devtools” accessible Help menu RStudio. set things , click Build -> -> Configure Build Tools. resulting dialog box, tick checkboxes “Use devtools package functions available” “Generate documentation roxygen” click “Configure”. open another dialog box tick “Install Restart”. Hit “OK”. Project Options dialog box, click “Code Editing” check “Insert spaces tabs” set “Tab width” 4, convention mizer code follows.","code":"install.packages(c(\"devtools\", \"roxygen2\"))"},{"path":"https://sizespectrum.org/mizer/articles/developer_vignette.html","id":"usethis-package","dir":"Articles","previous_headings":"Setting up working environment","what":"usethis package","title":"Developer Guide","text":"Many useful commands working packages GitHub provided usethis package, automatically installed along devtools. package comes useful vignette suggestions set things conveniently.","code":""},{"path":"https://sizespectrum.org/mizer/articles/developer_vignette.html","id":"installing-mizer","dir":"Articles","previous_headings":"Setting up working environment","what":"Installing mizer","title":"Developer Guide","text":"now ready install mizer package using development code GitHub. First command can watch progress “Build” tab. build completed, see console RStudio automatically runs load freshly built mizer package. want click “Install Restart” whenever changed local code.","code":"devtools::install_github(\"sizespectrum/mizer\") library(mizer)"},{"path":"https://sizespectrum.org/mizer/articles/developer_vignette.html","id":"working-with-git","dir":"Articles","previous_headings":"","what":"Working with git","title":"Developer Guide","text":"making code changes fork mizer code (using -called Fork & Pull model). time time want interact main mizer repository two ways: want contribute code back mizer project, benefits others also gets automatically included future releases. want able merge new developments made mizer others code base. interaction made possible git GitHub. initially takes bit effort get hang works. Therefore created little tutorial “Working git GitHub” exercise take necessary steps. Unless already familiar git GitHub, worthwhile work tutorial now.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/articles/developer_vignette.html","id":"coding-style","dir":"Articles","previous_headings":"Contributor guidelines","what":"Coding style","title":"Developer Guide","text":"Google’s R Style Guide tidyverse style guide","code":""},{"path":"https://sizespectrum.org/mizer/articles/developer_vignette.html","id":"always-write-tests-for-your-code","dir":"Articles","previous_headings":"Contributor guidelines","what":"Always write tests for your code","title":"Developer Guide","text":"use testthat shinytest. test directory tests/testthat. tests compare results calculations results code gave past, using testthat::expect_known_value() test. past values stored tests/testthat/values. one tests gives value different stored value, test throws error overwrites stored value new result. second time test run, longer fails. Luckily original values still git repository. think fixed error led wrong result, revert old stored values re-running test. Reverting old stored values easy: Just go Git tab RStudio, select changed files tests/testthat/values (select, tick), right-click choose Revert. may change result calculation intended, perhaps new code accurate old code. 100% certain , , commit changed files tests/testthat/values, new values form basis future comparison tests. Plots tested vdiffr package. plot changed, run vdiffr::manage_cases(), start shiny gadget can view changes plot.","code":""},{"path":"https://sizespectrum.org/mizer/articles/developer_vignette.html","id":"finding-your-way-around-the-mizer-code","dir":"Articles","previous_headings":"","what":"Finding your way around the mizer code","title":"Developer Guide","text":"section still early stage development. Mizer organised modular fashion. separated setup functions, simulation functions, analysis plotting functions. several different functions setting MizerParams object specifying various concrete models. setup functions make various simplifying assumptions model parameters reduce amount information needs specified. usually takes form assuming allometric scaling laws. core mizer project() function runs simulation size-spectrum model. takes specification model contained object type MizerParams returns results simulation object type MizerSim. many functions analysing plotting results mizer simulation contained MizerSim object. MizerParams MizerSim objects S4 objects, meaning slots rigorously defined accessed ‘@’ notation. need learn S4 classes order understand mizer code, code avoids using S4 methods. presentation assume MizerParams object called params MizerSim object called sim.","code":""},{"path":"https://sizespectrum.org/mizer/articles/developer_vignette.html","id":"the-mizerparams-class","dir":"Articles","previous_headings":"Finding your way around the mizer code","what":"The MizerParams class","title":"Developer Guide","text":"object class ‘MizerParams’ holds information needed ‘project()’ function simulate model.","code":""},{"path":"https://sizespectrum.org/mizer/articles/developer_vignette.html","id":"adding-a-new-slot","dir":"Articles","previous_headings":"Finding your way around the mizer code > The MizerParams class","what":"Adding a new slot","title":"Developer Guide","text":"need add new slot MizerParams class, need make following additions file MizerParams-class.R: Go section “Class definition” add description new slot @slot. Add entry slots list inside setClass. function emptyParams() go section “Make object” inside call new() provide default value slot. slot holds array, conventional mizer already give correct dimensions dimnames , possible. exactly put places usually clear analogy already similar slots.","code":""},{"path":"https://sizespectrum.org/mizer/articles/developer_vignette.html","id":"condition-handling-system","dir":"Articles","previous_headings":"","what":"Condition handling system","title":"Developer Guide","text":"Mizer make good use R’s condition handling system, well described https://adv-r.hadley.nz/conditions.html. Currently small number places code. Search code signal() withCallingHandlers() find places.","code":""},{"path":"https://sizespectrum.org/mizer/articles/developer_vignette.html","id":"framework-for-informing-users-about-defaults","dir":"Articles","previous_headings":"Condition handling system","what":"Framework for informing users about defaults","title":"Developer Guide","text":"Mizer’s strength can choose default values parameters, user needs supply limited information create viable MizerParams object. downside user may rely much may enough information quality defaults. Currently mizer issues messages user calculates defaults. minimal order overload user need extra information. like functions calculate defaults issue information freely, wrapper functions around decide information shown user. Functions like newMultispeciesParams() get extra info_level argument allows user control amount information shown. function signal information: functions like newMultispeciesParams() get extra code like following:","code":"info_about_default <- function(message, var, level) {     signal(message, class = \"info_about_default\", var = var, level = level) } # Define a signal handler that collects the information signals # into the `infos` list. infos <- list() collect_info <- function(cnd) {   if (cnd$level >= info_level) {     infos[[cnd$var]] <<- cnd$message   cnd_muffle(cnd) # So this info will not be repeated higher up   } } # Register this signal handler withCallingHandlers(   info_about_default = collect_info    # Here goes the existing code of the function  ) # Here goes some code to process the list `infos` to create # a useful narrative for the user."},{"path":"https://sizespectrum.org/mizer/articles/developer_vignette.html","id":"defaults-editions","dir":"Articles","previous_headings":"","what":"Defaults editions","title":"Developer Guide","text":"mizer functions creating new models make lot choices default values parameters provided user. Sometimes find better ways choose defaults update mizer accordingly. , increase edition number. mechanism described help page defaults_edition(). currently default edition 1. find defaults different different editions simply search conditionals involving defaults_edition() code.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/articles/developer_vignette.html","id":"size-of-git-repo","dir":"Articles","previous_headings":"Specialised topics","what":"Size of git repo","title":"Developer Guide","text":"try avoid committing many large files git repository, larger repository longer takes download. Currently (September 2019) repository still manageable 110 MiB. best way check size repository git-sizer, see https://github.com/github/git-sizer/ currently storing mizer website mizer repository (docs subdirectory). convenient, partly pkgdown puts default GitHub serves . However future might consider moving website repository.","code":""},{"path":"https://sizespectrum.org/mizer/articles/editing_website.html","id":"website-built-from-package-documentation","dir":"Articles","previous_headings":"","what":"Website built from package documentation","title":"Editing the Mizer Website","text":"mizer website [https://sizespectrum.org/mizer/] created programmatically documentation included mizer GitHub repository. Thus edit website just means editing documentation. website creation performed slight modification pkgdown package. can trigger build local repository issuing commands convert existing documentation html files put docs subdirectory mizer directory. detail: .Rmd files vignettes subdirectory (subdirectories, ) produce html files name docs/articles. .Rd documentation files man produce html files name docs/reference. NEWS file converted docs/news/index.html README.md file converted docs/index.html. package use information _pkgdown.yml file create navbar index pages. navbar configured quite self-explanatory, specifying order navbar entries, text link destination, whether left right side. clearly easy add additional navbar entries. possible also include drop-items navbar. See pkgdown documentation details. file docs/articles/index.html created according article: section _pkgdown_yml file. early stage looked follows: now entries link vignettes. necessary use index file. menu entry just well point elaborate file created .Rmd file vignette subdirectory, might become useful future. file docs/reference/index.html created according reference: section _pkgdown_yml file, similar syntax article: section.","code":"devtools::install_github(\"gustavdelius/pkgdown\", ref = \"mizer\") pkgdown::build_site() navbar:   title: \"mizer\"   left:     - icon: fa-home fa-lg       href: index.html     - text: \"Get Started\"       href: articles/mizer.html     - text: \"Articles\"       href: articles/index.html     - text: \"Reference\"       href: reference/index.html     - text: \"Publications\"       href: articles/publications.html     - text: \"News\"       href: news/index.html   right:     - icon: fa-github fa-lg       href: https://github.com/sizespectrum/mizer articles: - title: User Guides   contents:   - model_description - title: Developer Guides   contents:   - developer_vignette   - mathematical_details"},{"path":"https://sizespectrum.org/mizer/articles/editing_website.html","id":"changing-page-content","dir":"Articles","previous_headings":"","what":"Changing page content","title":"Editing the Mizer Website","text":"top every page website, except homepage, link page source. easy know file edit make changes page. want rebuild website making change single page may want re-build everything. can rebuild just single vignette. example rebuild page editing vignette vignette/editing_website.Rmd can call rebuild reference pages changing roxygen code doc can run change homepage edit index.md. file similar README.md used mizer homepage GitHub, can contain extra content like embedded videos GitHub homepage support. changes index.md can update local copy website course changes affect local copy website. get changes reflected online site need make pull request changed files master branch upstream repository.","code":"pkgdown::build_article(\"editing_website\") pkgdown::build_reference() pkgdown::build_home()"},{"path":"https://sizespectrum.org/mizer/articles/editing_website.html","id":"github-pages","dir":"Articles","previous_headings":"","what":"GitHub pages","title":"Editing the Mizer Website","text":"website hosted GitHubPages. settings pages mizer repository GitHub source set “master branch/docs folder”. means master branch controls website.","code":""},{"path":"https://sizespectrum.org/mizer/articles/editing_website.html","id":"search-bar","dir":"Articles","previous_headings":"","what":"Search bar","title":"Editing the Mizer Website","text":"search bar website powered Docsearch Algolia. free service open-source projects. set-explained pkgdown documentation.","code":""},{"path":"https://sizespectrum.org/mizer/articles/editing_website.html","id":"embedding-videos","dir":"Articles","previous_headings":"","what":"Embedding videos","title":"Editing the Mizer Website","text":"easy embed videos webpage putting iframe R Markdown source file. example putting line source page produced following embedded video: GitHub site (opposed GitHub Pages) support embedded videos.","code":"<iframe width=\"560\" height=\"315\" src=\"https://www.youtube.com/embed/0RlXqLbFbWc\" frameborder=\"0\" allow=\"accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen><\/iframe>"},{"path":"https://sizespectrum.org/mizer/articles/exploring_the_simulation_results.html","id":"sec:exploring","dir":"Articles","previous_headings":"","what":"Introduction","title":"Exploring the Simulation Results","text":"sections multispecies model running simulation saw set model project forward time desired fishing scenario. result running projection object class MizerSim. ? can explore results simulation? section introduce range summaries, plots indicators can easily produced using functions included mizer. use following MizerSim object examples, effort array one created previous section running simulation:","code":"sim <- project(NS_params, effort = effort_array, dt = 0.1, t_save = 1)"},{"path":"https://sizespectrum.org/mizer/articles/exploring_the_simulation_results.html","id":"accessing-the-simulation-results","dir":"Articles","previous_headings":"","what":"Accessing the simulation results","title":"Exploring the Simulation Results","text":"projected species abundances size time can obtained N(sim). returns three-dimensional array (time x species x size). Consequently, array can get big inspecting can difficult. example just run, time dimension n 10 rows (one initial population one saved time steps). also 12 species 100 sizes. can check running dim() function looking dimensions n array: pull abundances particular species time size can subset array. example look Cod time can use: returns two-dimensional array: time x size, containing cod abundances. time dimension depends value argument t_save project() run. can see even though specified dt 0.1 called project(), t_save = 1 argument meant output saved every year. Often particularly interested results final time-step. can access two dimensional array (species x size). projected resource abundances can accesses similarly returns two-dimensional array (time x size). interested final time step returns vector one entry size class.","code":"dim(N(sim)) ## [1]  10  12 100 N(sim)[, \"Cod\", ] finalN(sim) NResource(sim) finalNResource(sim)"},{"path":"https://sizespectrum.org/mizer/articles/exploring_the_simulation_results.html","id":"sec:summaries","dir":"Articles","previous_headings":"","what":"Summary functions","title":"Exploring the Simulation Results","text":"well summary() methods available MizerParams MizerSim objects, useful summary functions pull information MizerSim object. description different summary functions available given summary functions help page. functions help files explain used. (also possible use functions MizerParams object also supply population abundance argument. can useful exploring changes parameter value abundance can affect summary statistics indicators. won’t explore can see help files details.) functions getBiomass() getN() additional arguments allow user set size range calculate summary statistic. done passing combination arguments min_l, min_w, max_l max_w minimum maximum length weight. min_l specified need specify min_w . However, length specified (minimum maximum) necessary species parameter data.frame (see species parameters section) include parameters b length-weight conversion. possible mix length weight constraints, e.g. supplying minimum weight maximum length. default values minimum maximum weights spectrum, .e. full range size spectrum used.","code":""},{"path":"https://sizespectrum.org/mizer/articles/exploring_the_simulation_results.html","id":"sec:summaries_example","dir":"Articles","previous_headings":"Summary functions","what":"Examples of using the summary functions","title":"Exploring the Simulation Results","text":"show simple demonstration using summary function using sim object created earlier. , use getSSB() calculate SSB species time (note use head() function display first rows). mentioned , can specify size range getsummaryBiomass() getN() functions. example, calculate total biomass species include individuals larger 10 g smaller 1000 g.","code":"ssb <- getSSB(sim) dim(ssb) ## [1] 10 12 head(ssb) ##     sp ## time        Sprat      Sandeel       N.pout      Herring        Dab ##    1 210810187886 5.378411e+12 183159668755 442644004208 6885675636 ##    2 157421300798 3.498137e+12 153386837865 499200353502 5278650740 ##    3 138701220818 2.510551e+12 135619248024 603931625682 5065030019 ##    4 118875574040 1.997337e+12 110306292341 569167018628 4877123531 ##    5 114060666493 1.790051e+12 112246876589 420615452917 5224602753 ##    6 125640651552 1.736155e+12 124869964868 351468531499 6147959412 ##     sp ## time      Whiting        Sole    Gurnard       Plaice      Haddock          Cod ##    1 113572753243 63630241776 9102232924 303365911438 151965178029 531536722956 ##    2  87964359889 46775076902 7385280731 232689238362 117830523964 345850203280 ##    3  91749455062 45443905458 7528148453 240988454909 135946957263 290183064993 ##    4  85038348880 49465062866 6855105119 264670808435 158905104522 308445205952 ##    5  77139941423 53555703121 5600934574 279557468426 145778058562 335438386336 ##    6  82462061701 56441766035 5398238488 278206590917 123593721267 351386199474 ##     sp ## time       Saithe ##    1 327578246185 ##    2 218500695506 ##    3 197610219846 ##    4 228220656964 ##    5 271860341040 ##    6 287805766571 biomass <- getBiomass(sim, min_w = 10, max_w = 1000) head(biomass) ##     sp ## time        Sprat      Sandeel       N.pout      Herring        Dab ##    1 244119195586 4.589606e+12 238847649463 1.273446e+12 8373096367 ##    2 189464604834 2.888858e+12 214678099536 1.413601e+12 6837801607 ##    3 169593586308 1.931520e+12 185655249238 1.536104e+12 6536986610 ##    4 146468867085 1.409300e+12 166879189209 1.360238e+12 6286073743 ##    5 144115814704 1.171670e+12 178630603519 1.175016e+12 6849215327 ##    6 159924185834 1.102235e+12 192414189537 1.177930e+12 7904848054 ##     sp ## time      Whiting         Sole     Gurnard       Plaice      Haddock ##    1 161515844306 127400523235 24759887586 766087469917 333172493301 ##    2 140923805330 112319321368 24087806247 722705573485 335440217763 ##    3 139784785126 114244854064 23828541236 743105121821 372682335506 ##    4 127051769924 115827036011 20324716177 711903001258 356182595515 ##    5 126548669345 116366841999 19072116393 661973266258 323469227911 ##    6 137220141191 121684387886 21334281004 668659838352 325245994096 ##     sp ## time         Cod       Saithe ##    1 45159646196 158969500338 ##    2 52110333051 183496280557 ##    3 62885974091 216448253249 ##    4 59073484678 214031942473 ##    5 51993520691 174593364166 ##    6 49544506290 138713867303"},{"path":"https://sizespectrum.org/mizer/articles/exploring_the_simulation_results.html","id":"functions-for-calculating-indicators","dir":"Articles","previous_headings":"","what":"Functions for calculating indicators","title":"Exploring the Simulation Results","text":"Functions available calculate range indicators MizerSim object projection. description different indicator functions available given indicator functions help page.. can read help pages functions full instructions use , along examples. functions table possible specify size range community used calculation (e.g. exclude small large individuals) calculated metrics can compared empirical data. used way saw function getBiomass() section summary functions MizerSim objects.. also possible specify species include calculation. See help files details.","code":""},{"path":"https://sizespectrum.org/mizer/articles/exploring_the_simulation_results.html","id":"sec:indicators_example","dir":"Articles","previous_headings":"Functions for calculating indicators","what":"Examples of calculating indicators","title":"Exploring the Simulation Results","text":"examples use sim object created earlier. slope community can calculated using getCommunitySlope() function. Initially include species sizes calculation (first five rows shown): gives slope, intercept \\(R^2\\) value time (see help file getCommunitySlope details). can include species want species argument. include demersal species. also restrict size range community used calculation 10 g 5 kg. species argument character vector names species want include calculation.","code":"slope <- getCommunitySlope(sim) head(slope) ##        slope intercept        r2 ## 1 -0.7822250  25.40779 0.8722251 ## 2 -0.7970084  25.24922 0.8666363 ## 3 -0.8066332  25.21573 0.8665750 ## 4 -0.8151679  25.23791 0.8678893 ## 5 -0.8229285  25.24489 0.8686275 ## 6 -0.8272602  25.23104 0.8673588 dem_species <- c(\"Dab\", \"Whiting\", \"Sole\", \"Gurnard\", \"Plaice\", \"Haddock\",     \"Cod\", \"Saithe\") slope <- getCommunitySlope(sim, min_w = 10, max_w = 5000,      species = dem_species) head(slope) ##       slope intercept        r2 ## 1 -1.096584  26.88942 0.9749307 ## 2 -1.177678  27.21999 0.9796408 ## 3 -1.148456  27.13231 0.9754412 ## 4 -1.060903  26.70050 0.9748899 ## 5 -1.026889  26.50463 0.9820432 ## 6 -1.061542  26.68677 0.9807863"},{"path":"https://sizespectrum.org/mizer/articles/exploring_the_simulation_results.html","id":"plotting-the-results","dir":"Articles","previous_headings":"","what":"Plotting the results","title":"Exploring the Simulation Results","text":"R powerful comes exploring data plots. Two useful packages plotting ggplot2 plotly. use data.frames input data whereas many mizer functions return arrays matrices. Fortunately straightforward turn arrays matrices data.frames using melt() function reshape2 package mizer makes available . Although mizer include dedicated plots, definitely worth time getting grips plotting packages. make possible make plots. provide details section using ggplot2 plotly mizer. Included mizer several dedicated plots use MizerSim objects inputs (see plots help page.). well displaying plots, functions return objects type ggplot ggplot2 package, meaning can modified user (e.g. changing plotting theme). See help page individual plot functions details. generic plot() method also overloaded MizerSim objects. produces several plots window provide snapshot results simulation. plots plot values size (example plotFeedingLevel() plotSpectra()). plots, default use data final time step projection. plotting functions, also possible specify different time, time range average values plotting.","code":""},{"path":"https://sizespectrum.org/mizer/articles/exploring_the_simulation_results.html","id":"sec:plot_examples","dir":"Articles","previous_headings":"Plotting the results","what":"Plotting examples","title":"Exploring the Simulation Results","text":"Using plotting functions straightforward. example, plot total biomass species time use plotBiomass() function:  mentioned , plot functions plot values size point time (averaged time period). plots possible specify time step plot, time period average values . default use final time step. plot abundance spectra (biomass), averaged time = 5 10:  mentioned , seen several times guide, generic plot() method also overloaded. produces 5 plots window (plotFeedingLevel(), plotBiomass(), plotPredMort(), plotFMort() plotSpectra()). possible pass arguments individual plots use, e.g. arguments change time period data averaged.  next section describes use learned model North Sea.","code":"plotBiomass(sim) plotSpectra(sim, time_range = 5:10) plot(sim)"},{"path":"https://sizespectrum.org/mizer/articles/mizer.html","id":"overview","dir":"Articles","previous_headings":"","what":"Overview","title":"Getting started with mizer","text":"mizer package implements multi-species dynamic Size-spectrum models R. designed modelling aquatic ecosystems. Using mizer relatively simple. four main stages, described detail sections . Installing mizer. Setting model parameters. Running simulation. Exploring results. run difficulties questions suggestions, let us know posting issue tracker. can also twitter @mizer_model. love hear . good way get mizer follow online mizer course. course three parts, consisting several tutorials example code exercises: Part 1: Understand gain understanding size spectra dynamics exploring simple example systems hands-mizer. Part 2: Build build multi-species mizer model Celtic sea, following example. can also create model area interest. Part 3: Use explore effects changes fishing changes resource dynamics fish community fisheries yield. run model scenarios. Click preview open mizer cheat sheet. series YouTube videos Richard Southwell mizer however longer entirely --date.","code":""},{"path":"https://sizespectrum.org/mizer/articles/mizer.html","id":"installing-mizer","dir":"Articles","previous_headings":"","what":"Installing mizer","title":"Getting started with mizer","text":"already R installed computer, installation mizer package simple (assuming active internet connection). Just start R session type: installing mizer, actually use , need load package using library() function. Note whilst need install package , need loaded every time start new R session. Mizer compatible R versions 3.1 later. can install R computer following instructions https://cran.r-project.org/ particular platform. Alternatively, can want install R computer, can also work R RStudio internet browser creating free account https://rstudio.cloud. can install mizer described . Running mizer RStudio Cloud may slightly slower running locally machine, speed usually quite acceptable. guide assumes using RStudio work R. really reason use RStudio makes lot things much easier. RStudio develops rapidly adds useful features time pays upgrade latest version frequently. guide written version 2023.12.1. source code mizer hosted GitHub. feeling brave wish try development version mizer can install package using R package devtools (used extensively putting together mizer). yet installed devtools, can install latest version GitHub using","code":"install.packages(\"mizer\") library(mizer) install.packages(\"devtools\") devtools::install_github(\"sizespectrum/mizer\")"},{"path":"https://sizespectrum.org/mizer/articles/mizer.html","id":"setting-the-model-parameters","dir":"Articles","previous_headings":"","what":"Setting the model parameters","title":"Getting started with mizer","text":"mizer possible implement many different types size-spectrum models using basic tools methods. Setting model parameters done creating object class ? MizerParams. includes model parameters life history parameters species, fishing gears. type sizespectrum model function creating new MizerParams object, newSingleSpeciesParams(), newCommunityParams(), newTraitParams() newMultispeciesParams(). functions make reasonable default choices many model parameters want specify explicitly. example set simple model (described Community Model section) can even let mizer choose parameters . complicated multi-species model need provide data frame species parameters. example North Sea model included package. also use species interaction matrix North Sea species. notes printed function show us mizer calculated default values many parameters provided.","code":"params <- newCommunityParams() params <- newMultispeciesParams(NS_species_params, NS_interaction) ## Because you have n != p, the default value for `h` is not very good. ## Because the age at maturity is not known, I need to fall back to using ## von Bertalanffy parameters, where available, and this is not reliable. ## No ks column so calculating from critical feeding level. ## Using z0 = z0pre * w_max ^ z0exp for missing z0 values. ## Using f0, h, lambda, kappa and the predation kernel to calculate gamma."},{"path":"https://sizespectrum.org/mizer/articles/mizer.html","id":"running-a-simulation","dir":"Articles","previous_headings":"","what":"Running a simulation","title":"Getting started with mizer","text":"done calling project() function (“project forward time”) model parameters. produces object class MizerSim contains results simulation. example chose set parameters project() function specify want project 10 years future, assumption unit fishing effort. can see help page project() details described fully section running simulation.","code":"sim <- project(params, t_max = 10, effort = 1)"},{"path":"https://sizespectrum.org/mizer/articles/mizer.html","id":"exploring-the-results","dir":"Articles","previous_headings":"","what":"Exploring the results","title":"Getting started with mizer","text":"simulation run, results can examined using range ?plotting_functions, ?summary_functions ?indicator_functions. plot() function combines several plots one:  Just example: might interested proportion large fish varies time. can get proportion Herrings terms biomass weight 50g 10 years: can use full power R work results. functionality provided mizer explore simulation results fully described section exploring simulation results.","code":"plot(sim) getProportionOfLargeFish(sim,                           species = \"Herring\",                           threshold_w = 50,                           biomass_proportion = TRUE) ##         0         1         2         3         4         5         6         7  ## 0.8241807 0.1858698 0.7586884 0.6780193 0.3325129 0.3036110 0.4717033 0.6379461  ##         8         9        10  ## 0.5976582 0.5539731 0.5763835"},{"path":"https://sizespectrum.org/mizer/articles/mizer.html","id":"size-spectrum-models","dir":"Articles","previous_headings":"","what":"Size-spectrum models","title":"Getting started with mizer","text":"Size spectrum models emerged conceptually simple way model large community individuals grow change trophic level life. now growing literature describing different types size spectrum models (e.g. Benoît Rochet 2004; K. H. Andersen Beyer 2006; K. H. Andersen et al. 2008; Law et al. 2009; Hartvig 2011; Hartvig, Andersen, Beyer 2011). models can used understand marine communities organised (K. H. Andersen Beyer 2006; K. H. Andersen, Beyer, Lundberg 2009; Blanchard et al. 2009) respond fishing (K. H. Andersen Rice 2010; K. H. Andersen Pedersen 2010). section introduces central assumptions, concepts, processes, equations parameters size spectrum models. Roughly speaking four versions size spectrum modelling framework increasing complexity: single-species model, community model (Benoît Rochet 2004; Maury et al. 2007; Blanchard et al. 2009; Law et al. 2009), trait-based model (K. H. Andersen Beyer 2006; K. H. Andersen Pedersen 2010), multispecies model (Hartvig, Andersen, Beyer 2011). single-species, community trait-based models can considered simplifications multispecies model. section focuses multispecies model also applicable types models. Mizer able implement types model using similar commands. Size spectrum models subset physiologically structured models (Metz Diekmann 1986; De Roos Persson 2001) growth (thus maturation) food dependent, processes formulated terms individual level processes. parameters size spectrum models related individual weight makes possible formulate model small set general parameters, prompted label ``charmingly simple’’ model framework [Pope et al. (2006)}. model framework builds central assumption individual can characterized weight \\(w\\) species number \\(\\) . aim model calculate size- trait-spectrum \\({\\cal N}_i(w)\\) density individuals \\({\\cal N}_i(w)dw\\) number individuals interval \\([w:w+dw]\\). Scaling individual-level processes growth mortality size spectrum trait group achieved means McKendrick-von Foerster equation, simply continuity equation describes flow biomass size spectrum, \\[\\begin{equation}   \\frac{\\partial N_i(w)}{\\partial t} + \\frac{\\partial g_i(w) N_i(w)}{\\partial w} = -\\mu_i(w) N_i(w) \\end{equation}\\] individual growth \\(g_i(w)\\) mortality \\(\\mu_i(w)\\) coupled, growth one individual due predation another, consequently dies. continuity equation supplemented boundary condition egg weight \\(w_0\\) flux individuals (numbers per time) \\(g_i(w_0) N_i(w_0)\\) determined reproduction offspring mature individuals population \\(R_i\\): \\[\\begin{equation}   g_i(w_0)N_i(w_0) = R_i. \\end{equation}\\] rest formulation model rests number ``standard’’ assumptions ecology fisheries science encounters predators prey leads growth \\(g_i(w)\\) reproduction \\(R_i\\) predators, mortality prey \\(\\mu_i(w)\\). detailed exposition model see section mizer size-spectrum model. easiest learn basics mizer examples. looking four set-ups framework, increasing complexity. one article describes set model, run different scenarios, explore results. recommend explore following order:","code":""},{"path":"https://sizespectrum.org/mizer/articles/mizer.html","id":"single-species-model","dir":"Articles","previous_headings":"Size-spectrum models","what":"Single-species model","title":"Getting started with mizer","text":"single-species model good starting point allows one understand main features size-spectrum modelling without complexities multi-species interactions. model describes single species fixed background community. allows exploration shape species size spectrum determined growth death rates individuals species. article gives first glimpse work mizer, simplified setting.","code":""},{"path":"https://sizespectrum.org/mizer/articles/mizer.html","id":"community-model","dir":"Articles","previous_headings":"Size-spectrum models","what":"Community model","title":"Getting started with mizer","text":"community model, individuals characterized size represented single group representing across-species average. Community size spectrum models used investigate abundance size spectra emerge solely individual-level process size-based predation fishing impacts metrics community-level size spectra. Since parameters required used investigating large-scale community-level questions detailed trait- species-level parameterisations tractable.","code":""},{"path":"https://sizespectrum.org/mizer/articles/mizer.html","id":"trait-based-model","dir":"Articles","previous_headings":"Size-spectrum models","what":"Trait-based model","title":"Getting started with mizer","text":"trait-based model resolves continuum species varying maximum sizes. maximum size considered important trait characterizes species’ life history. continuum represented discrete number species spread evenly range maximum sizes. number species important affect general dynamics model. Many parameters, preferred predator-prey mass ratio, species. model parameters determined maximum size. example, weight maturation species set fraction maximum size. trait-based model, species-level complexity captured different life histories, intra- inter-specific size spectra emerge. approach powerful examining generic population whole community level responses size species selective fishing without requirement detailed species-specific parameters.","code":""},{"path":"https://sizespectrum.org/mizer/articles/mizer.html","id":"multispecies-model","dir":"Articles","previous_headings":"Size-spectrum models","what":"Multispecies model","title":"Getting started with mizer","text":"multispecies model individual species resolved detail distinct life history, feeding reproduction parameters. detailed information required parameterise multispecies model approach can used address management strategies realistic community specific region subset interacting species.","code":""},{"path":"https://sizespectrum.org/mizer/articles/mizer.html","id":"which-model-to-use","dir":"Articles","previous_headings":"Size-spectrum models","what":"Which model to use","title":"Getting started with mizer","text":"models predict abundance, biomass yield well predation mortality rates size. useful establishing baselines abundance unexploited communities, understanding fishing impacts aquatic communities testing indicators developed support ecosystem approach fisheries management. model use specific case depends needs amount information available calibrate model. multi-species model set systems calibration parameters can estimated. requires lot insight data. parameters just guesstimates results multi-species model accurate results trait-based model. situations therefore recommend use trait-based model, even though provides general information maximum size distribution specific species. community model useful large-scale community-level questions average spectrum needed. Care taken community model used infer dynamical properties marine ecosystems, since prone unrealistically strong oscillations due lack dampening effects provided life-history diversity trait-based multi-species models. single-species model mainly pedagogical use comparison single-species fisheries models. important aim size-spectrum modelling get away single-species thinking.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/articles/mizer_vignette.html","id":"overview","dir":"Articles","previous_headings":"","what":"Overview","title":"Getting started with mizer","text":"mizer package implements multi-species dynamic Size-spectrum models R. designed modelling aquatic ecosystems. Using mizer relatively simple. four main stages, described detail sections . Installing mizer. Setting model parameters. Running simulation. Exploring results. run difficulties questions suggestions, let us know posting issue tracker. can also twitter @mizer_model. love hear . good way get mizer follow online mizer course. course three parts, consisting several tutorials example code exercises: Part 1: Understand gain understanding size spectra dynamics exploring simple example systems hands-mizer. Part 2: Build build multi-species mizer model Celtic sea, following example. can also create model area interest. Part 3: Use explore effects changes fishing changes resource dynamics fish community fisheries yield. run model scenarios. series YouTube videos Richard Southwell mizer however longer entirely --date.","code":""},{"path":"https://sizespectrum.org/mizer/articles/mizer_vignette.html","id":"installing-mizer","dir":"Articles","previous_headings":"","what":"Installing mizer","title":"Getting started with mizer","text":"already R installed computer, installation mizer package simple (assuming active internet connection). Just start R session type: installing mizer, actually use , need load package using library() function. Note whilst need install package , need loaded every time start new R session. Mizer compatible R versions 3.1 later. can install R computer following instructions https://cran.r-project.org/ particular platform. Alternatively, can want install R computer, can also work R RStudio internet browser creating free account https://rstudio.cloud. can install mizer described . Running mizer RStudio Cloud may slightly slower running locally machine, speed usually quite acceptable. guide assumes using RStudio work R. really reason use RStudio makes lot things much easier. RStudio develops rapidly adds useful features time pays upgrade latest version frequently. guide written version 2023.12.1. source code mizer hosted GitHub. feeling brave wish try development version mizer can install package using R package devtools (used extensively putting together mizer). yet installed devtools, can install latest version GitHub using","code":"install.packages(\"mizer\") library(mizer) install.packages(\"devtools\") devtools::install_github(\"sizespectrum/mizer\")"},{"path":"https://sizespectrum.org/mizer/articles/mizer_vignette.html","id":"setting-the-model-parameters","dir":"Articles","previous_headings":"","what":"Setting the model parameters","title":"Getting started with mizer","text":"mizer possible implement many different types size-spectrum models using basic tools methods. Setting model parameters done creating object class ? MizerParams. includes model parameters life history parameters species, fishing gears. type sizespectrum model function creating new MizerParams object, newSingleSpeciesParams(), newCommunityParams(), newTraitParams() newMultispeciesParams(). functions make reasonable default choices many model parameters want specify explicitly. example set simple model (described Community Model section) can even let mizer choose parameters . complicated multi-species model need provide data frame species parameters. example North Sea model included package. also use species interaction matrix North Sea species. notes printed function show us mizer calculated default values many parameters provided.","code":"params <- newCommunityParams() params <- newMultispeciesParams(NS_species_params, NS_interaction) ## Because you have n != p, the default value for `h` is not very good. ## Because the age at maturity is not known, I need to fall back to using ## von Bertalanffy parameters, where available, and this is not reliable. ## No ks column so calculating from critical feeding level. ## Using z0 = z0pre * w_max ^ z0exp for missing z0 values. ## Using f0, h, lambda, kappa and the predation kernel to calculate gamma."},{"path":"https://sizespectrum.org/mizer/articles/mizer_vignette.html","id":"running-a-simulation","dir":"Articles","previous_headings":"","what":"Running a simulation","title":"Getting started with mizer","text":"done calling project() function (“project forward time”) model parameters. produces object class MizerSim contains results simulation. example chose set parameters project() function specify want project 10 years future, assumption unit fishing effort. can see help page project() details described fully section running simulation.","code":"sim <- project(params, t_max = 10, effort = 1)"},{"path":"https://sizespectrum.org/mizer/articles/mizer_vignette.html","id":"exploring-the-results","dir":"Articles","previous_headings":"","what":"Exploring the results","title":"Getting started with mizer","text":"simulation run, results can examined using range ?plotting_functions, ?summary_functions ?indicator_functions. plot() function combines several plots one:  Just example: might interested proportion large fish varies time. can get proportion Herrings terms biomass weight 50g 10 years: can use full power R work results. functionality provided mizer explore simulation results fully described section exploring simulation results.","code":"plot(sim) getProportionOfLargeFish(sim,                           species = \"Herring\",                           threshold_w = 50,                           biomass_proportion = TRUE) ##         0         1         2         3         4         5         6         7  ## 0.8241807 0.1858698 0.7586884 0.6780193 0.3325129 0.3036110 0.4717033 0.6379461  ##         8         9        10  ## 0.5976582 0.5539731 0.5763835"},{"path":"https://sizespectrum.org/mizer/articles/mizer_vignette.html","id":"size-spectrum-models","dir":"Articles","previous_headings":"","what":"Size-spectrum models","title":"Getting started with mizer","text":"Size spectrum models emerged conceptually simple way model large community individuals grow change trophic level life. now growing literature describing different types size spectrum models (e.g. Benoît Rochet 2004; K. H. Andersen Beyer 2006; K. H. Andersen et al. 2008; Law et al. 2009; Hartvig 2011; Hartvig, Andersen, Beyer 2011). models can used understand marine communities organised (K. H. Andersen Beyer 2006; K. H. Andersen, Beyer, Lundberg 2009; Blanchard et al. 2009) respond fishing (K. H. Andersen Rice 2010; K. H. Andersen Pedersen 2010). section introduces central assumptions, concepts, processes, equations parameters size spectrum models. Roughly speaking four versions size spectrum modelling framework increasing complexity: single-species model, community model (Benoît Rochet 2004; Maury et al. 2007; Blanchard et al. 2009; Law et al. 2009), trait-based model (K. H. Andersen Beyer 2006; K. H. Andersen Pedersen 2010), multispecies model (Hartvig, Andersen, Beyer 2011). single-species, community trait-based models can considered simplifications multispecies model. section focuses multispecies model also applicable types models. Mizer able implement types model using similar commands. Size spectrum models subset physiologically structured models (Metz Diekmann 1986; De Roos Persson 2001) growth (thus maturation) food dependent, processes formulated terms individual level processes. parameters size spectrum models related individual weight makes possible formulate model small set general parameters, prompted label ``charmingly simple’’ model framework [Pope et al. (2006)}. model framework builds central assumption individual can characterized weight \\(w\\) species number \\(\\) . aim model calculate size- trait-spectrum \\({\\cal N}_i(w)\\) density individuals \\({\\cal N}_i(w)dw\\) number individuals interval \\([w:w+dw]\\). Scaling individual-level processes growth mortality size spectrum trait group achieved means McKendrick-von Foerster equation, simply continuity equation describes flow biomass size spectrum, \\[\\begin{equation}   \\frac{\\partial N_i(w)}{\\partial t} + \\frac{\\partial g_i(w) N_i(w)}{\\partial w} = -\\mu_i(w) N_i(w) \\end{equation}\\] individual growth \\(g_i(w)\\) mortality \\(\\mu_i(w)\\) coupled, growth one individual due predation another, consequently dies. continuity equation supplemented boundary condition egg weight \\(w_0\\) flux individuals (numbers per time) \\(g_i(w_0) N_i(w_0)\\) determined reproduction offspring mature individuals population \\(R_i\\): \\[\\begin{equation}   g_i(w_0)N_i(w_0) = R_i. \\end{equation}\\] rest formulation model rests number ``standard’’ assumptions ecology fisheries science encounters predators prey leads growth \\(g_i(w)\\) reproduction \\(R_i\\) predators, mortality prey \\(\\mu_i(w)\\). detailed exposition model see section mizer size-spectrum model. easiest learn basics mizer examples. looking four set-ups framework, increasing complexity. one article describes set model, run different scenarios, explore results. recommend explore following order:","code":""},{"path":"https://sizespectrum.org/mizer/articles/mizer_vignette.html","id":"single-species-model","dir":"Articles","previous_headings":"Size-spectrum models","what":"Single-species model","title":"Getting started with mizer","text":"single-species model good starting point allows one understand main features size-spectrum modelling without complexities multi-species interactions. model describes single species fixed background community. allows exploration shape species size spectrum determined growth death rates individuals species. article gives first glimpse work mizer, simplified setting.","code":""},{"path":"https://sizespectrum.org/mizer/articles/mizer_vignette.html","id":"community-model","dir":"Articles","previous_headings":"Size-spectrum models","what":"Community model","title":"Getting started with mizer","text":"community model, individuals characterized size represented single group representing across-species average. Community size spectrum models used investigate abundance size spectra emerge solely individual-level process size-based predation fishing impacts metrics community-level size spectra. Since parameters required used investigating large-scale community-level questions detailed trait- species-level parameterisations tractable.","code":""},{"path":"https://sizespectrum.org/mizer/articles/mizer_vignette.html","id":"trait-based-model","dir":"Articles","previous_headings":"Size-spectrum models","what":"Trait-based model","title":"Getting started with mizer","text":"trait-based model resolves continuum species varying maximum sizes. maximum size considered important trait characterizes species’ life history. continuum represented discrete number species spread evenly range maximum sizes. number species important affect general dynamics model. Many parameters, preferred predator-prey mass ratio, species. model parameters determined maximum size. example, weight maturation species set fraction maximum size. trait-based model, species-level complexity captured different life histories, intra- inter-specific size spectra emerge. approach powerful examining generic population whole community level responses size species selective fishing without requirement detailed species-specific parameters.","code":""},{"path":"https://sizespectrum.org/mizer/articles/mizer_vignette.html","id":"multispecies-model","dir":"Articles","previous_headings":"Size-spectrum models","what":"Multispecies model","title":"Getting started with mizer","text":"multispecies model individual species resolved detail distinct life history, feeding reproduction parameters. detailed information required parameterise multispecies model approach can used address management strategies realistic community specific region subset interacting species.","code":""},{"path":"https://sizespectrum.org/mizer/articles/mizer_vignette.html","id":"which-model-to-use","dir":"Articles","previous_headings":"Size-spectrum models","what":"Which model to use","title":"Getting started with mizer","text":"models predict abundance, biomass yield well predation mortality rates size. useful establishing baselines abundance unexploited communities, understanding fishing impacts aquatic communities testing indicators developed support ecosystem approach fisheries management. model use specific case depends needs amount information available calibrate model. multi-species model set systems calibration parameters can estimated. requires lot insight data. parameters just guesstimates results multi-species model accurate results trait-based model. situations therefore recommend use trait-based model, even though provides general information maximum size distribution specific species. community model useful large-scale community-level questions average spectrum needed. Care taken community model used infer dynamical properties marine ecosystems, since prone unrealistically strong oscillations due lack dampening effects provided life-history diversity trait-based multi-species models. single-species model mainly pedagogical use comparison single-species fisheries models. important aim size-spectrum modelling get away single-species thinking.","code":""},{"path":[]},{"path":[]},{"path":"https://sizespectrum.org/mizer/articles/model_description.html","id":"consumer-densities","dir":"Articles","previous_headings":"Size spectrum dynamics","what":"Consumer densities","title":"The General Mizer Size-spectrum Model","text":"model assumes , first approximation, individual can characterized weight \\(w\\) species number \\(\\) . aim model calculate size spectrum \\(N_i(w)\\), density individuals species \\(\\) \\(\\int_w^{w+dw}N_i(w)dw\\) number individuals species \\(\\) size interval \\([w,w+dw]\\). words: number individuals size range area number density \\(N_i(w)\\). plot example size spectrum two species \\(N_i(w)\\) vertical axis \\(=1,2\\) \\(w\\) horizontal axis.  represent continuous size spectrum computer, size variable \\(w\\) discretized vector w discrete weights, providing grid sizes spanning range smallest egg size largest maximum size. grid values divide full size range finite number size bins. size bins chosen small enough avoid discretisation errors becoming big. can fetch vector w() vector bin sizes dw(). weight grid set logarithmically spaced, w[j]=w[1]*10^(j*dx) fixed dx. means bin widths increase size: dw[j] = w[j+1] - w[j] = w[j] * (10^dx - 1). grid set automatically creating MizerParams object. code size spectrum stored array N N[, ] holds density \\(N_i(w_a)\\) weights \\(w_a=\\)w[], , time dependence included, array N[, , u] holds \\(N_i(w_a,t_u)\\). See N(). Note , contrary one might expected, N[, ] number individuals size bin density grid point. number individuals size bin w[] w[+1]=w[]+dw[] approximately given N[, ]*dw[], dw[]= w[+1]-w[]. course calculations discrete sizes size bins giving approximations continuous values, approximations get better smaller size bins , .e., size bins used. functions setting MizerParams objects allow choose number size bins no_w.","code":"library(mizer) params <- newTraitParams(no_sp = 2, min_w = 1e-3) plotSpectra(params, resource = FALSE, power = 0)"},{"path":"https://sizespectrum.org/mizer/articles/model_description.html","id":"traffic-on-the-road-to-adulthood","dir":"Articles","previous_headings":"Size spectrum dynamics","what":"Traffic on the road to adulthood","title":"The General Mizer Size-spectrum Model","text":"good way think time evolution number density \\(N_i(w)\\) consider familiar situation traffic density roads. fish’s life journey along size axis egg size size death. many fish making journey. speed fish move along size axis growth rate. quite analogous speed traffic road. Just speed cars depends density cars road, growth rate fish depends density fish. density cars stretch road high, speed decreases, leads pile-can lead traffic jams. Similarly density fish size interval high, growth rate goes due competition food sources, can lead pile-ups bottlenecks. one just replace space variable traffic model size get equation fish size spectra. additional feature evolution fish densities present road traffic density fish can die growing , death rate also dependent density fish. time evolution number density \\(N_i(w)\\) described McKendrick-von Foerster equation, transport equation (one use traffic density) additional loss term due fish mortality: \\[\\begin{equation}   \\label{eq:MvF}   \\frac{\\partial N_i(w)}{\\partial t} + \\frac{\\partial g_i(w) N_i(w)}{\\partial w}   = -\\mu_i(w) N_i(w), \\end{equation}\\] individual growth \\(g_i(w)\\) described Growth section mortality \\(\\mu_i(w)\\) described Mortality section. need understand mathematical notation used equation understand origin: just says rate number fish size bracket changes rate fish grow size bracket smaller size minus rate fish grow larger size minus rate fish size bracket die. simulate size spectrum dynamics need specify growth rates mortality rates. . important point rates depend density fish sizes, making size-spectrum dynamics non-linear non-local interesting ways. resulting effects complicated disentangle pure thought. simulations mizer package come . McKendrick-von Foerster equation approximated mizer finite-difference method. allows project() function mizer project size spectrum forwards time: Given spectrum one time project() function calculates set later times. course also needs reproduction smallest size class, otherwise small fish . smallest size class instead rate growth size class rate reproduction new individuals size class. reproduction described Reproduction section.","code":""},{"path":"https://sizespectrum.org/mizer/articles/model_description.html","id":"resource-density","dir":"Articles","previous_headings":"Size spectrum dynamics","what":"Resource density","title":"The General Mizer Size-spectrum Model","text":"Besides fish spectrum also resource spectrum \\(N_R(w)\\), representing example phytoplankton. spectrum starts smaller size fish spectrum, order provide food also smallest individuals (larvae) fish spectrum. default time evolution resource spectrum described semi-chemostat equation. semichemostat dynamics given \\[\\begin{equation}   \\label{eq:nb}   \\frac{\\partial N_R(w,t)}{\\partial t}   = r_R(w) \\Big[ c_R (w) - N_R(w,t) \\Big] - \\mu_R(w) N_R(w,t). \\end{equation}\\] \\(r_R(w)\\) resource regeneration rate \\(c_R(w)\\) carrying capacity absence predation. parameters changed setResource(). default mizer assumes allometric forms \\[r_R(w)= r_R\\, w^{n-1}.\\] \\[c_R(w)=\\kappa\\, w^{-\\lambda}.\\] can retrieve getResourceRate() getResourceCapacity() respectively. also possible implement resource dynamics, described help page setResource(). mortality \\(\\mu_R(w)\\) due predation consumers described subsection Resource mortality. resource spectrum spans larger range sizes sizes resource spectrum spans larger range sizes sizes resource spectrum spans larger range sizes sizes discretized different vector weights resource spectrum represented vector NResource NResource[c] =\\(N_R(\\)w_full[c]\\()\\).","code":""},{"path":"https://sizespectrum.org/mizer/articles/model_description.html","id":"growth","dir":"Articles","previous_headings":"","what":"Growth","title":"The General Mizer Size-spectrum Model","text":"Consumers can grow consuming prey. next subsections build towards determining growth rate resulting predation. discuss model predator-prey encounter rate, resulting rate consumption, rate metabolic losses, partitioning remaining energy reproduction growth.","code":""},{"path":"https://sizespectrum.org/mizer/articles/model_description.html","id":"sec:pref","dir":"Articles","previous_headings":"Growth","what":"Predator-prey encounter rate","title":"The General Mizer Size-spectrum Model","text":"rate predator species \\(\\) weight \\(w\\) encounters food (mass per time) determined summing prey species resource spectrum integrating prey sizes \\(w_p\\), weighted selectivity factors: \\[\\begin{equation}   \\label{eq:1}   E_{}(w) = \\gamma_i(w) \\int \\left(\\sum_{j} \\theta_{ij} N_j(w_p) +    \\theta_{iR} N_R(w_p) \\right)   \\phi_i(w,w_p) w_p \\, dw_p. \\end{equation}\\] calculated getEncounter(). overall prefactor \\(\\gamma_i(w)\\) sets predation power predator. interpreted search volume. set setSearchVolume(). default assumed scale allometrically \\(\\gamma_i(w) = \\gamma_i\\, w^q.\\) \\(\\theta\\) matrix sets interaction strength predators various prey species resource. changed setInteraction(). size selectivity encoded predation kernel \\(\\phi_i(w,w_p)\\). changed setPredKernel(). important simplification occurs predation kernel \\(\\phi_i(w,w_p)\\) depends size prey predator/prey size ratio \\(w_p/w\\), \\[\\phi_i(w, w_p)=\\tilde{\\phi}_i(w/w_p).\\] assumed default can overruled. default predation kernel truncated log-normal function \\[   \\label{eq:4}   \\tilde{\\phi}_i(x) = \\begin{cases}   \\exp \\left[ \\dfrac{-(\\ln(x / \\beta_i))^2}{2\\sigma_i^2} \\right]   &\\text{ }x\\\\left[0,\\beta_i\\exp(3\\sigma_i)\\right]\\\\   0&\\text{ otherwise,}   \\end{cases} \\] \\(\\beta_i\\) preferred predator-prey mass ratio \\(\\sigma_i\\) sets width predation kernel. integral expression encounter rate approximated Riemann sum weight brackets: \\[ {\\tt encounter}[,] = {\\tt search\\_vol}[,]\\sum_{k} \\left( n_{R}[k] + \\sum_{j} \\theta[,j] n[j,k] \\right)   \\phi_i\\left(w[],w[k]\\right) w[k]\\, dw[k]. \\] case predation kernel depends \\(w/w_p\\) , becomes convolution sum can evaluated efficiently via fast Fourier transform.","code":""},{"path":"https://sizespectrum.org/mizer/articles/model_description.html","id":"consumption","dir":"Articles","previous_headings":"Growth","what":"Consumption","title":"The General Mizer Size-spectrum Model","text":"encountered food consumed subject standard Holling functional response type II represent satiation. determines feeding level \\(f_i(w)\\), dimensionless number 0 (food) 1 (fully satiated) \\(1-f_i(w)\\) proportion encountered food consumed. feeding level given \\[\\begin{equation}   \\label{eq:f}   f_i(w) = \\frac{E_i(w)}{E_i(w) + h_i(w)}, \\end{equation}\\] \\(h_i(w)\\) maximum consumption rate. changed setMaxIntakeRate(). default mizer assumes allometric form \\(h_i(w) = h_i\\, w^n.\\) feeding level calculated function getFeedingLevel(). rate food consumed \\[\\begin{equation} (1-f_i(w))E_{}(w)=f_i(w)\\, h_i(w). \\end{equation}\\]","code":""},{"path":"https://sizespectrum.org/mizer/articles/model_description.html","id":"metabolic-losses","dir":"Articles","previous_headings":"Growth","what":"Metabolic losses","title":"The General Mizer Size-spectrum Model","text":"consumed food used fuel needs metabolism activity movement, rate \\({\\tt metab}_i(w)\\). default made standard metabolism, scaling exponent \\(p\\), loss due activity movement, scaling exponent \\(1\\): \\[{\\tt metab}_i(w) = k_{s.}\\,w^p + k_i\\,w.\\] See help page setMetabolicRate(). remaining rate, , assimilated efficiency \\(\\alpha_i\\) available growth reproduction. rate energy becomes available growth reproduction \\[\\begin{equation}   \\label{eq:Er}   E_{r.}(w) = \\max(0, \\alpha_i f_i(w)\\, h_i(w) - {\\tt metab}_i(w)) \\end{equation}\\] calculated getEReproAndGrowth() function.","code":""},{"path":"https://sizespectrum.org/mizer/articles/model_description.html","id":"sec:repro","dir":"Articles","previous_headings":"Growth","what":"Investment into reproduction","title":"The General Mizer Size-spectrum Model","text":"proportion \\(\\psi_i(w)\\) energy available growth reproduction used reproduction. proportion change zero weight \\(w_{m.}\\) maturation one maximum weight \\(w_{max.}\\), available energy used reproduction. function changed setReproduction(). Mizer provides default form function can however overrule.","code":""},{"path":"https://sizespectrum.org/mizer/articles/model_description.html","id":"growth-1","dir":"Articles","previous_headings":"Growth","what":"Growth","title":"The General Mizer Size-spectrum Model","text":"left metabolism reproduction taken account invested somatic growth. Thus growth rate \\[\\begin{equation}   \\label{eq:growth}   g_i(w) = E_{r.}(w)\\left(1-\\psi_i(w)\\right). \\end{equation}\\] calculated getEGrowth() function. food supply cover requirements metabolism activity, growth reproduction stops, .e. negative growth. individual subjected starvation mortality, starvation mortality implemented core mizer provided mizerStarvation extension package.","code":""},{"path":"https://sizespectrum.org/mizer/articles/model_description.html","id":"mortality","dir":"Articles","previous_headings":"","what":"Mortality","title":"The General Mizer Size-spectrum Model","text":"mortality rate individual \\(\\mu_i(w)\\) three sources: predation mortality \\(\\mu_{p.}(w)\\), background mortality \\(\\mu_{ext.}(w)\\) fishing mortality \\(\\mu_{f.}(w)\\). Predation mortality calculated eaten translates corresponding predation mortalities ingested prey individuals. Recalling \\(1-f_j(w)\\) proportion food encountered predator species \\(j\\) weight \\(w\\) actually consumed, rate predators species \\(j\\) consume prey size \\(w_p\\) \\[\\begin{equation}   \\label{eq:pred_rated}   {\\tt pred\\_rate}_j(w_p) = \\int \\phi_j(w,w_p) (1-f_j(w))   \\gamma_j(w) N_j(w) \\, dw. \\end{equation}\\] predation rate calculated function getPredRate(). integral approximated Riemann sum fish weight brackets. \\[ {\\tt pred\\_rate}[j,c] = \\sum_{}   {\\tt pred_kernel}[j,,c]\\,(1-{\\tt feeding_level}[j,])\\,   \\gamma[j,]\\,n[j,]\\,dw[]. \\] mortality rate due predation obtained \\[\\begin{equation}   \\label{eq:mup}   \\mu_{p.}(w_p) = \\sum_j {\\tt pred\\_rate}_j(w_p)\\, \\theta_{ji}. \\end{equation}\\] predation mortality rate calculated function getPredMort(). External mortality \\(\\mu_{ext.}(w)\\) independent abundances changed setExtMort(). default mizer assumes external mortality species constant \\(z0_i\\) independent size. value \\(z0_i\\) either specified species parameter assumed depend allometrically maximum size: \\[z0_i = z0_{pre} w_{\\infty.}^{1-n}.\\]","code":""},{"path":"https://sizespectrum.org/mizer/articles/model_description.html","id":"fishing-mortality","dir":"Articles","previous_headings":"Mortality","what":"Fishing mortality","title":"The General Mizer Size-spectrum Model","text":"fishing parameters model set setFishing(), can find details set gears different selectivities capabilities different species. Fishing mortality \\(F_i(w)\\) calculated function getFMort().","code":""},{"path":"https://sizespectrum.org/mizer/articles/model_description.html","id":"total-mortality","dir":"Articles","previous_headings":"Mortality","what":"Total mortality","title":"The General Mizer Size-spectrum Model","text":"total mortality rate \\[\\mu_i(w)=\\mu_{p.}(w)+\\mu_{ext.}(w)+F_i(w)\\] calculated function getMort().","code":""},{"path":"https://sizespectrum.org/mizer/articles/model_description.html","id":"resource-mortality","dir":"Articles","previous_headings":"Mortality","what":"Resource Mortality","title":"The General Mizer Size-spectrum Model","text":"predation mortality rate resource given similar expression predation mortality fish: \\[\\begin{equation}   \\label{eq:mupp}   \\mu_{p}(w_p) = \\sum_j {\\tt pred\\_rate}_j(w_p)\\, \\theta_{jp}. \\end{equation}\\] mortality resource currently implemented mizer. calculated function getResourceMort().","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/articles/model_description.html","id":"energy-invested-into-reproduction","dir":"Articles","previous_headings":"Reproduction","what":"Energy invested into reproduction","title":"The General Mizer Size-spectrum Model","text":"total rate investment reproduction (grams/year) found integrating contribution individuals species \\(\\), invests proportion \\(\\psi_i(w)\\) consumption. total rate energy investment can converted total rate egg production \\(R_{p.}\\) (numbers per year): \\[\\begin{equation}   \\label{eq:Rp}   R_{p.} = \\frac{\\epsilon_i}{2 w_{0.}} \\int N_i(w)  E_{r.}(w) \\psi_i(w) \\, dw, \\end{equation}\\] total rate investment multiplied efficiency factor \\(\\epsilon_i\\) dividing egg weight \\(w_{0.}\\) convert energy number eggs. result multiplied factor \\(1/2\\) take account females reproduce. rate potential egg production calculated getRDI().","code":""},{"path":"https://sizespectrum.org/mizer/articles/model_description.html","id":"density-dependence-in-reproduction","dir":"Articles","previous_headings":"Reproduction","what":"Density-dependence in reproduction","title":"The General Mizer Size-spectrum Model","text":"Three important density-dependent mechanisms widely assumed fisheries models automatically captured mizer model lead emergent stock-recruitment relationship: High density spawners leads reduced food income spawners consequently reduced per-capita reproduction. High density larvae leads slower growth larvae due food competition, exposing larvae high mortality longer time, thereby decreasing survivorship recruitment size. High density fish leads predation eggs fish larvae fish species cannibalism. However sources density dependence explicitly modelled mechanistically mizer. example limited carrying capacity suitable spawning grounds spatial effects. requires additional phenomenological density dependent contributions stock-recruitment. mizer type density dependence modelled constraints egg production survival. default functional form density dependence represented reproduction rate \\(R_i\\) (numbers per time) approaches maximum energy invested reproduction increases, modelled mathematically analogous Beverton-Holt type function: \\[\\begin{equation}   \\label{eq:R}   R_i = R_{\\max.} \\frac{R_{p.}}{R_{p.} + R_{\\max.}}, \\end{equation}\\] \\(R_{\\max.}\\) maximum reproduction rate trait class. final rate reproduction calculated getRDD(). default Beverton-Holt type implemented BervertonHoldRDD() mizer also provides alternatives RickerRDD(), SheperdRDD(), constantRDD() noRDD(). Also, users able write functions, e.g. hockey-stick. See setReproduction() details.","code":""},{"path":"https://sizespectrum.org/mizer/articles/model_description.html","id":"abundance-at-egg-size","dir":"Articles","previous_headings":"Reproduction","what":"Abundance at egg size","title":"The General Mizer Size-spectrum Model","text":"reproduction rate \\(R_i\\) determines abundance density species \\(\\) egg size. Intuitively, rate individuals size \\(w_0\\) produced must equal rate grow away size \\(w_0\\), gives \\[N_i(w_{0.}) = \\frac{R_i}{g_i(w_{0.})}.\\]","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/articles/multispecies_model.html","id":"overview","dir":"Articles","previous_headings":"Setting up a multispecies model","what":"Overview","title":"The Multi Species Model","text":"MizerParams class used storing model parameters. already met MizerParams class looked community trait-based models. However, set multispecies model need specify many parameters.probably complicated part using mizer package, take slowly. MizerParams object stores : life-history parameters species community, maximum size \\(w_{max}\\); size-based biological parameters species, search volume; density-dependent reproduction functions parameters species; interaction matrix describe spatial overlap pairs species; parameters relating growth dynamics resource spectrum; fishing gear parameters: selectivity catchability. Note MizerParams class store parameters can vary time, fishing effort population abundance. stored MizerSim class come later section running simulation. Although MizerParams class contains lot information, relatively straightforward set use. Objects class MizerParams created using constructor method newMultispeciesParams() (constructor method called MizerParams() previous version mizer). constructor method can take many arguments. However, creation simplified many arguments default values. rest section look main arguments newMultispeciesParams() function. help understand constructor used MizerParams class relates equations given model description section, example section create example parameter objects using data comes mizer package.","code":""},{"path":"https://sizespectrum.org/mizer/articles/multispecies_model.html","id":"sec:species_parameters_dataframe","dir":"Articles","previous_headings":"Setting up a multispecies model","what":"The species parameters","title":"The Multi Species Model","text":"Although many arguments used creating MizerParams object optional, one argument must supplied user: species specific parameters. stored single data.frame object. data.frame arranged species parameter, column parameter row parameters one species model. Although possible create data.frame hand R, probably easier create data externally .csv file (perhaps using suitable open source spreadsheet LibreOffice) read data R. species model community certain parameters essential default values. user must provide values parameters. also essential parameters default values, selectivity function parameters, calculated internally using default relationships explicitly provided. defaults used parameters found data.frame. essential columns species parameters data.frame default values : species, names species community w_max, maximum mass species.","code":""},{"path":"https://sizespectrum.org/mizer/articles/multispecies_model.html","id":"sec:fishing_gear","dir":"Articles","previous_headings":"Setting up a multispecies model","what":"The gear parameters","title":"The Multi Species Model","text":"mizer, fishing mortality imposed species fishing gears. total fishing mortality obtained summing mortality gears, \\[\\begin{equation} %     {#eq:muf}     \\mu_{f.}(w) = \\sum_g F_{g,}(w), \\end{equation}\\] fishing mortality \\(F_{g,}(w)\\) imposed gear \\(g\\) species \\(\\) size \\(w\\) calculated : \\[\\begin{equation} %     {#eq:sel}     F_{g,}(w) = S_{g,}(w) Q_{g,} E_{g} \\end{equation}\\] \\(S\\) selectivity species, gear size, \\(Q\\) catchability species gear \\(E\\) fishing effort gear. selectivity size range 0 (selected size) 1 (fully selected size). Catchability used additional scalar make link gear selectivity, fishing effort fishing mortality. example, can set effort 1 gives desired fishing mortality. way effort can specified relative ‘base effort’, e.g. effort particular year. Selectivity catchability stored arrays MizerParams object. However user create arrays hand provide data frame necessary information. particular selectivity can calculate specifying functions selectivity curves. Mizer provides range selectivity functions user just needs specify parameters gear species gear_params data frame. details can found help page setFishing(). Fishing effort stored MizerParams object. Instead, effort set simulation run can vary time (see section running simulation).","code":""},{"path":"https://sizespectrum.org/mizer/articles/multispecies_model.html","id":"sec:params_example","dir":"Articles","previous_headings":"Setting up a multispecies model","what":"Example of making MizerParams objects","title":"The Multi Species Model","text":"mentioned preceding sections, object MizerParams created using newMultispeciesParams() constructor method. first step prepare species specific parameter data.frame. mentioned , one way use spreadsheet save .csv file. use approach . example .csv file included package. contains species parameters multispecies North Sea model. location file can found running file can opened spreadsheets text editor inspect. can loaded R reads .csv file R form data.frame. can check class: Let’s look data frame: can see \\(12\\) species \\(7\\) columns parameters: species, w_max,w_mat,beta,sigma,R_max k_vb. parameters, species w_max essential default values (described section species parameters). w_max maximum size species, w_mat maturity size, beta sigma parameters predation kernel (default mizer uses log-normal predation kernel). R_max parameter introducing additional density dependence reproduction parameter using Beverton-Holt type function (see setReproduction() details). final column, k_vb, used calculate values h gamma. column essential h gamma included data.frame. also possible include h gamma columns data.frame include k_vb column. values non-essential species specific parameters, like example alpha, k, ks, z0, w_min erepro, included data.frame. means default values automatically used create MizerParams object. example set gear parameters. columns describing fishing selectivity. sel_func column determine selectivity function. means default selectivity function, knife_edge, used. mentioned section fishing gears, function also needs another argument, knife_edge_size. present data.frame set default value w_mat. Also, catchability column default value catchability 1 used gears species. create MizerParams object pass species parameter data.frame newMultispeciesParams() constructor method: just created MizerParams object: MizerParams object also stores copy species parameter data frame provided. can look species_params(): can see returns original species data.frame (w_max ), plus default values may included original data.frame. example, can see now columns alpha h gamma etc. Also note default fishing gears set . Even though provide gear parameter data frame, MizerParams object one can access species caught gear called “knife_edge_gear”. selectivity function fishing gear set sel_func column default function, knife_edge(). catchability column added default value 1 species gear catches. example setting catchability hand can seen section North Sea. summary() method MizerParams objects prints useful summary model parameters: well giving summary species model gear fishing species, gives summary size structure community. example \\(100\\) size classes community, ranging \\(0.001\\) \\(4\\times 10^{4}\\) . values controlled arguments no_w, min_w max_w respectively. example, wanted 200 size classes model use:","code":"params_location <- system.file(\"extdata\", \"NS_species_params.csv\",                                package = \"mizer\") species_params <- read.csv(params_location) class(species_params) ## [1] \"data.frame\" species_params ##    species w_inf w_mat   beta sigma    R_max  k_vb ## 1    Sprat    33    13  51076   0.8 7.38e+11 0.681 ## 2  Sandeel    36     4 398849   1.9 4.10e+11 1.000 ## 3   N.pout   100    23     22   1.5 1.05e+13 0.849 ## 4  Herring   334    99 280540   3.2 1.11e+12 0.606 ## 5      Dab   324    21    191   1.9 1.12e+10 0.536 ## 6  Whiting  1192    75     22   1.5 5.48e+11 0.323 ## 7     Sole   866    78    381   1.9 3.87e+10 0.284 ## 8  Gurnard   668    39    283   1.8 1.65e+12 0.266 ## 9   Plaice  2976   105    113   1.6 4.08e+14 0.122 ## 10 Haddock  3485   165    558   2.1 1.84e+12 0.271 ## 11     Cod 40044  1606     66   1.3 8.26e+09 0.216 ## 12  Saithe 16856  1076     40   1.1 1.12e+11 0.175 params <- newMultispeciesParams(species_params) ## Warning in validGivenSpeciesParams(species_params): The species parameter data ## frame is missing a `w_max` column. I am copying over the values from the ## `w_inf` column. But note that `w_max` should be the maximum size of the largest ## individual, not the asymptotic size of an average indivdidual. ## Warning in validGivenSpeciesParams(species_params): The species parameter data ## frame is missing a `w_max` column. I am copying over the values from the ## `w_inf` column. But note that `w_max` should be the maximum size of the largest ## individual, not the asymptotic size of an average indivdidual. ## Because you have n != p, the default value for `h` is not very good. ## Because the age at maturity is not known, I need to fall back to using ## von Bertalanffy parameters, where available, and this is not reliable. ## No ks column so calculating from critical feeding level. ## Using z0 = z0pre * w_max ^ z0exp for missing z0 values. ## Using f0, h, lambda, kappa and the predation kernel to calculate gamma. class(params) ## [1] \"MizerParams\" ## attr(,\"package\") ## [1] \"mizer\" species_params(params) ##         species w_inf w_mat   beta sigma    R_max  k_vb         n   p w_max ## Sprat     Sprat    33    13  51076   0.8 7.38e+11 0.681 0.6666667 0.7    33 ## Sandeel Sandeel    36     4 398849   1.9 4.10e+11 1.000 0.6666667 0.7    36 ## N.pout   N.pout   100    23     22   1.5 1.05e+13 0.849 0.6666667 0.7   100 ## Herring Herring   334    99 280540   3.2 1.11e+12 0.606 0.6666667 0.7   334 ## Dab         Dab   324    21    191   1.9 1.12e+10 0.536 0.6666667 0.7   324 ## Whiting Whiting  1192    75     22   1.5 5.48e+11 0.323 0.6666667 0.7  1192 ## Sole       Sole   866    78    381   1.9 3.87e+10 0.284 0.6666667 0.7   866 ## Gurnard Gurnard   668    39    283   1.8 1.65e+12 0.266 0.6666667 0.7   668 ## Plaice   Plaice  2976   105    113   1.6 4.08e+14 0.122 0.6666667 0.7  2976 ## Haddock Haddock  3485   165    558   2.1 1.84e+12 0.271 0.6666667 0.7  3485 ## Cod         Cod 40044  1606     66   1.3 8.26e+09 0.216 0.6666667 0.7 40044 ## Saithe   Saithe 16856  1076     40   1.1 1.12e+11 0.175 0.6666667 0.7 16856 ##         w_min w_repro_max alpha interaction_resource pred_kernel_type        h ## Sprat   0.001          33   0.6                    1        lognormal 14.51026 ## Sandeel 0.001          36   0.6                    1        lognormal 28.36951 ## N.pout  0.001         100   0.6                    1        lognormal 30.69918 ## Herring 0.001         334   0.6                    1        lognormal 31.20041 ## Dab     0.001         324   0.6                    1        lognormal 34.68295 ## Whiting 0.001        1192   0.6                    1        lognormal 32.78322 ## Sole    0.001         866   0.6                    1        lognormal 24.90951 ## Gurnard 0.001         668   0.6                    1        lognormal 22.29126 ## Plaice  0.001        2976   0.6                    1        lognormal 17.71691 ## Haddock 0.001        3485   0.6                    1        lognormal 40.62144 ## Cod     0.001       40044   0.6                    1        lognormal 74.81794 ## Saithe  0.001       16856   0.6                    1        lognormal 43.50194 ##         k       ks         z0         q        gamma     w_mat25 m erepro ## Sprat   0 1.598545 0.18705957 0.7166667 5.765885e-11   11.647460 1      1 ## Sandeel 0 3.250607 0.18171206 0.7166667 4.267142e-11    3.583834 1      1 ## N.pout  0 3.318311 0.12926608 0.7166667 9.749884e-11   20.607045 1      1 ## Herring 0 3.212332 0.08647736 0.7166667 2.812559e-11   88.699888 1      1 ## Dab     0 3.760307 0.08735805 0.7166667 7.663981e-11   18.815128 1      1 ## Whiting 0 3.406676 0.05658819 0.7166667 1.041177e-10   67.196884 1      1 ## Sole    0 2.585095 0.06294752 0.7166667 5.308445e-11   69.884760 1      1 ## Gurnard 0 2.367448 0.06863713 0.7166667 5.091838e-11   34.942380 1      1 ## Plaice  0 1.820523 0.04171321 0.7166667 4.774060e-11   94.075638 1      1 ## Haddock 0 4.111691 0.03957464 0.7166667 7.679024e-11  147.833146 1      1 ## Cod     0 7.019866 0.01753768 0.7166667 2.549664e-10 1438.909287 1      1 ## Saithe  0 4.136466 0.02340093 0.7166667 1.797143e-10  964.051303 1      1 gear_params(params) ##                          species            gear   sel_func knife_edge_size ## Sprat, knife_edge_gear     Sprat knife_edge_gear knife_edge              13 ## Sandeel, knife_edge_gear Sandeel knife_edge_gear knife_edge               4 ## N.pout, knife_edge_gear   N.pout knife_edge_gear knife_edge              23 ## Herring, knife_edge_gear Herring knife_edge_gear knife_edge              99 ## Dab, knife_edge_gear         Dab knife_edge_gear knife_edge              21 ## Whiting, knife_edge_gear Whiting knife_edge_gear knife_edge              75 ## Sole, knife_edge_gear       Sole knife_edge_gear knife_edge              78 ## Gurnard, knife_edge_gear Gurnard knife_edge_gear knife_edge              39 ## Plaice, knife_edge_gear   Plaice knife_edge_gear knife_edge             105 ## Haddock, knife_edge_gear Haddock knife_edge_gear knife_edge             165 ## Cod, knife_edge_gear         Cod knife_edge_gear knife_edge            1606 ## Saithe, knife_edge_gear   Saithe knife_edge_gear knife_edge            1076 ##                          catchability ## Sprat, knife_edge_gear              1 ## Sandeel, knife_edge_gear            1 ## N.pout, knife_edge_gear             1 ## Herring, knife_edge_gear            1 ## Dab, knife_edge_gear                1 ## Whiting, knife_edge_gear            1 ## Sole, knife_edge_gear               1 ## Gurnard, knife_edge_gear            1 ## Plaice, knife_edge_gear             1 ## Haddock, knife_edge_gear            1 ## Cod, knife_edge_gear                1 ## Saithe, knife_edge_gear             1 summary(params) ## An object of class \"MizerParams\"  ## Consumer size spectrum: ##  minimum size:   0.001 ##  maximum size:   40044 ##  no. size bins:  100 ## Resource size spectrum: ##  minimum size:   8.6774e-13 ##  maximum size:   9.84582 ##  no. size bins:  171 (218 size bins in total) ## Species details: ##    species w_max w_mat w_min   beta sigma ## 1    Sprat    33    13 0.001  51076   0.8 ## 2  Sandeel    36     4 0.001 398849   1.9 ## 3   N.pout   100    23 0.001     22   1.5 ## 4  Herring   334    99 0.001 280540   3.2 ## 5      Dab   324    21 0.001    191   1.9 ## 6  Whiting  1192    75 0.001     22   1.5 ## 7     Sole   866    78 0.001    381   1.9 ## 8  Gurnard   668    39 0.001    283   1.8 ## 9   Plaice  2976   105 0.001    113   1.6 ## 10 Haddock  3485   165 0.001    558   2.1 ## 11     Cod 40044  1606 0.001     66   1.3 ## 12  Saithe 16856  1076 0.001     40   1.1 ##  ## Fishing gear details: ## Gear          Effort  Target species  ##  ---------------------------------- ## knife_edge_gear 0.00   Sprat, Sandeel, N.pout, Herring, Dab, Whiting, Sole, Gurnard, Plaice, Haddock, Cod, Saithe params200 <- newMultispeciesParams(species_params, no_w = 200) summary(params200)"},{"path":"https://sizespectrum.org/mizer/articles/multispecies_model.html","id":"setting-the-interaction-matrix","dir":"Articles","previous_headings":"Setting up a multispecies model","what":"Setting the interaction matrix","title":"The Multi Species Model","text":"far created MizerParams object passing species parameter data.frame argument. specify interaction matrix. interaction matrix describes interaction pair species model. can viewed proxy spatial interaction e.g. model predator-prey interaction size based. values interaction matrix used scale encountered food [getEncounter()] predation mortality rate [getPredMort()] (see section predator-prey encounter rate predation mortality). entries interaction matrix dimensionless numbers taking values 0 (species overlap therefore interact ) 1 (species overlap perfectly). default mizer sets values 1, implying species fully interact , .e. species spread homogeneously across model area. North Sea case model improved also including interaction matrix describes spatial overlap species. example interaction matrix North Sea included mizer .csv file. location file can found running: Take look spreadsheet want. mentioned , read file R can make use read.csv() function. However, time want first column .csv file row names. therefore use additional argument read.csv() function: row.names. can set interaction matrix existing MizerParams object params setInteraction() function: Alternatively, instead changing interaction matrix existing MizerParams object, created new object scratch interaction matrix passing newMultispeciesParams(): Note first argument must species parameters data.frame. remaining arguments can order named. using default values parameters. now need start running projections. get though, ’ll take quick look different fishing gears can set .","code":"getInteraction(params) ## Warning: `getInteraction()` was deprecated in mizer 2.4.0. ## ℹ Please use `interaction_matrix()` instead. ## This warning is displayed once every 8 hours. ## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was ## generated. ##          prey ## predator  Sprat Sandeel N.pout Herring Dab Whiting Sole Gurnard Plaice Haddock ##   Sprat       1       1      1       1   1       1    1       1      1       1 ##   Sandeel     1       1      1       1   1       1    1       1      1       1 ##   N.pout      1       1      1       1   1       1    1       1      1       1 ##   Herring     1       1      1       1   1       1    1       1      1       1 ##   Dab         1       1      1       1   1       1    1       1      1       1 ##   Whiting     1       1      1       1   1       1    1       1      1       1 ##   Sole        1       1      1       1   1       1    1       1      1       1 ##   Gurnard     1       1      1       1   1       1    1       1      1       1 ##   Plaice      1       1      1       1   1       1    1       1      1       1 ##   Haddock     1       1      1       1   1       1    1       1      1       1 ##   Cod         1       1      1       1   1       1    1       1      1       1 ##   Saithe      1       1      1       1   1       1    1       1      1       1 ##          prey ## predator  Cod Saithe ##   Sprat     1      1 ##   Sandeel   1      1 ##   N.pout    1      1 ##   Herring   1      1 ##   Dab       1      1 ##   Whiting   1      1 ##   Sole      1      1 ##   Gurnard   1      1 ##   Plaice    1      1 ##   Haddock   1      1 ##   Cod       1      1 ##   Saithe    1      1 inter_location <- system.file(\"extdata\", \"NS_interaction.csv\",                               package = \"mizer\") inter <- read.csv(inter_location, row.names = 1) inter ##              Sprat    Sandeel     N.pout    Herring        Dab    Whiting ## Sprat   0.72912919 0.03408440 0.06354517 0.27416982 0.36241552 0.26525924 ## Sandeel 0.03408440 0.68119882 0.04892432 0.05888214 0.09736663 0.07510011 ## N.pout  0.06354517 0.04892432 0.79660429 0.29755069 0.09088798 0.29989886 ## Herring 0.27416982 0.05888214 0.29755069 0.65890104 0.28963957 0.37373927 ## Dab     0.36241552 0.09736663 0.09088798 0.28963957 0.80817768 0.33389727 ## Whiting 0.26525924 0.07510011 0.29989886 0.37373927 0.33389727 0.70928230 ## Sole    0.29795558 0.06020860 0.01679020 0.20014139 0.38047464 0.19227455 ## Gurnard 0.17515576 0.05992649 0.30624141 0.27510627 0.22041200 0.37109904 ## Plaice  0.37065975 0.07801855 0.07855818 0.27791867 0.56492206 0.29503807 ## Haddock 0.08135547 0.09395730 0.54917554 0.34835469 0.13168065 0.39164787 ## Cod     0.33757969 0.09943453 0.32502256 0.40477930 0.41647801 0.44060879 ## Saithe  0.01681321 0.01609022 0.29498937 0.12620591 0.03138197 0.10228168 ##               Sole    Gurnard     Plaice    Haddock        Cod     Saithe ## Sprat   0.29795558 0.17515576 0.37065975 0.08135547 0.33757969 0.01681321 ## Sandeel 0.06020860 0.05992649 0.07801855 0.09395730 0.09943453 0.01609022 ## N.pout  0.01679020 0.30624141 0.07855818 0.54917554 0.32502256 0.29498937 ## Herring 0.20014139 0.27510627 0.27791867 0.34835469 0.40477930 0.12620591 ## Dab     0.38047464 0.22041200 0.56492206 0.13168065 0.41647801 0.03138197 ## Whiting 0.19227455 0.37109904 0.29503807 0.39164787 0.44060879 0.10228168 ## Sole    0.71558049 0.10677895 0.39137317 0.03447799 0.25761229 0.01242055 ## Gurnard 0.10677895 0.88010500 0.16492120 0.35735444 0.35183282 0.12351994 ## Plaice  0.39137317 0.16492120 0.71922391 0.11248513 0.35043671 0.03294939 ## Haddock 0.03447799 0.35735444 0.11248513 0.85830725 0.39577341 0.26167470 ## Cod     0.25761229 0.35183282 0.35043671 0.39577341 0.78654705 0.20894496 ## Saithe  0.01242055 0.12351994 0.03294939 0.26167470 0.20894496 0.66383553 params <- setInteraction(params, interaction = inter) params_new <- newMultispeciesParams(species_params, interaction = inter) ## Warning in validGivenSpeciesParams(species_params): The species parameter data ## frame is missing a `w_max` column. I am copying over the values from the ## `w_inf` column. But note that `w_max` should be the maximum size of the largest ## individual, not the asymptotic size of an average indivdidual. ## Warning in validGivenSpeciesParams(species_params): The species parameter data ## frame is missing a `w_max` column. I am copying over the values from the ## `w_inf` column. But note that `w_max` should be the maximum size of the largest ## individual, not the asymptotic size of an average indivdidual. ## Because you have n != p, the default value for `h` is not very good. ## Because the age at maturity is not known, I need to fall back to using ## von Bertalanffy parameters, where available, and this is not reliable. ## No ks column so calculating from critical feeding level. ## Using z0 = z0pre * w_max ^ z0exp for missing z0 values. ## Using f0, h, lambda, kappa and the predation kernel to calculate gamma."},{"path":"https://sizespectrum.org/mizer/articles/multispecies_model.html","id":"sec:setting_different_gears","dir":"Articles","previous_headings":"Setting up a multispecies model","what":"Setting different gears","title":"The Multi Species Model","text":"example, species caught gear (named “knife_edge_gear”). default gear information provided. , look example set four different gears: Industrial, Pelagic, Beam Otter trawl, catch different combinations species. can achieve changing gear column gear_params data frame. can see result calling summary() params object. example gear now catches multiple stocks. example, Industrial gear catches Sprat, Sandeel Norway Pout. want set gears like ? next section running multispecies model see project model time can specify fishing effort gear time. setting gears way can run different management scenarios changing efforts fishing gears rather individual species. also means simulation run can examine catches gear.","code":"gear_params(params) ##                          species            gear   sel_func knife_edge_size ## Sprat, knife_edge_gear     Sprat knife_edge_gear knife_edge              13 ## Sandeel, knife_edge_gear Sandeel knife_edge_gear knife_edge               4 ## N.pout, knife_edge_gear   N.pout knife_edge_gear knife_edge              23 ## Herring, knife_edge_gear Herring knife_edge_gear knife_edge              99 ## Dab, knife_edge_gear         Dab knife_edge_gear knife_edge              21 ## Whiting, knife_edge_gear Whiting knife_edge_gear knife_edge              75 ## Sole, knife_edge_gear       Sole knife_edge_gear knife_edge              78 ## Gurnard, knife_edge_gear Gurnard knife_edge_gear knife_edge              39 ## Plaice, knife_edge_gear   Plaice knife_edge_gear knife_edge             105 ## Haddock, knife_edge_gear Haddock knife_edge_gear knife_edge             165 ## Cod, knife_edge_gear         Cod knife_edge_gear knife_edge            1606 ## Saithe, knife_edge_gear   Saithe knife_edge_gear knife_edge            1076 ##                          catchability ## Sprat, knife_edge_gear              1 ## Sandeel, knife_edge_gear            1 ## N.pout, knife_edge_gear             1 ## Herring, knife_edge_gear            1 ## Dab, knife_edge_gear                1 ## Whiting, knife_edge_gear            1 ## Sole, knife_edge_gear               1 ## Gurnard, knife_edge_gear            1 ## Plaice, knife_edge_gear             1 ## Haddock, knife_edge_gear            1 ## Cod, knife_edge_gear                1 ## Saithe, knife_edge_gear             1 gear_params(params)$gear <- c(\"Industrial\", \"Industrial\", \"Industrial\",                               \"Pelagic\", \"Beam\", \"Otter\",                               \"Beam\", \"Otter\", \"Beam\",                               \"Otter\", \"Otter\", \"Otter\") summary(params) ## An object of class \"MizerParams\"  ## Consumer size spectrum: ##  minimum size:   0.001 ##  maximum size:   40044 ##  no. size bins:  100 ## Resource size spectrum: ##  minimum size:   8.6774e-13 ##  maximum size:   9.84582 ##  no. size bins:  171 (218 size bins in total) ## Species details: ##    species w_max w_mat w_min   beta sigma ## 1    Sprat    33    13 0.001  51076   0.8 ## 2  Sandeel    36     4 0.001 398849   1.9 ## 3   N.pout   100    23 0.001     22   1.5 ## 4  Herring   334    99 0.001 280540   3.2 ## 5      Dab   324    21 0.001    191   1.9 ## 6  Whiting  1192    75 0.001     22   1.5 ## 7     Sole   866    78 0.001    381   1.9 ## 8  Gurnard   668    39 0.001    283   1.8 ## 9   Plaice  2976   105 0.001    113   1.6 ## 10 Haddock  3485   165 0.001    558   2.1 ## 11     Cod 40044  1606 0.001     66   1.3 ## 12  Saithe 16856  1076 0.001     40   1.1 ##  ## Fishing gear details: ## Gear          Effort  Target species  ##  ---------------------------------- ## Industrial     0.00   Sprat, Sandeel, N.pout  ## Pelagic        0.00   Herring  ## Beam           0.00   Dab, Sole, Plaice  ## Otter          0.00   Whiting, Gurnard, Haddock, Cod, Saithe"},{"path":"https://sizespectrum.org/mizer/articles/multispecies_model.html","id":"setting-to-steady-state","dir":"Articles","previous_headings":"Setting up a multispecies model","what":"Setting to steady state","title":"The Multi Species Model","text":"MizerParams object properly set , may case one wishes put system steady state. Sometimes can done simply running model using project() reaches steady state. However, method guaranteed work, function called steady() reliable. function steady() must supplied MizerParams object. takes MizerParams object, looks initial system state, computes levels reproduction different species, hold fixed, evolves system steady state reached (precisely, amount population abundances change time-step small tolerance level). , reproductive efficiency species altered reproduction dynamics turned back (.e., stop holding recruitment levels fixed), values reproduction levels held system fixed realized. steady function sure converge, way re-tunes reproductive efficiency values may realistic, idea alter parameters system steady() arrive steady state sensible reproductive efficiency values. Now know create multispecies model shall discuss run multispecies model.","code":""},{"path":"https://sizespectrum.org/mizer/articles/plotting.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"Using ggplot2 and plotly with mizer","text":"tutorial use ggplot2 package theplotly package R visualise results mizer simulations. Mizer provides several functions calculating summaries mizer simulation results, see ?summary_functions. Many functions corresponding plotting functions, see ?plotting_functions. However easy produce customised plots directly using ggplot() plot_ly(). gives flexibility built-plotting functions. Also, occasionally want look different quantities perhaps built-plotting function. cases examples see provide useful blueprint. ggplot2 plotly works data frames, convenient way manipulate data frames dplyr package. create simple simulation use examples .","code":"library(mizer) library(ggplot2) library(plotly) library(dplyr) params <- newMultispeciesParams(NS_species_params) sim <- project(params, t_max = 10, t_save = 0.5, effort = 0)"},{"path":"https://sizespectrum.org/mizer/articles/plotting.html","id":"from-arrays-to-data-frames","dir":"Articles","previous_headings":"","what":"From arrays to data frames","title":"Using ggplot2 and plotly with mizer","text":"Mizer likes work arrays indexed species time size. example built-summary functions return arrays. arrays need converted data frames can conveniently plotted either ggplot() plot_ly. conversion achieved function melt(). example, function getBiomass() returns two-dimensional array (matrix) one dimension corresponding time second dimension species. array can converted melt() function data frame contains one row entry array.","code":"biomass <- getBiomass(sim) str(biomass) ##  num [1:21, 1:12] 8.77e+07 2.52e+09 3.21e+09 7.50e+08 2.09e+08 ... ##  - attr(*, \"dimnames\")=List of 2 ##   ..$ time: chr [1:21] \"0\" \"0.5\" \"1\" \"1.5\" ... ##   ..$ sp  : chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... biomass_frame <- melt(biomass) str(biomass_frame) ## 'data.frame':    252 obs. of  3 variables: ##  $ time : num  0 0.5 1 1.5 2 2.5 3 3.5 4 4.5 ... ##  $ sp   : Factor w/ 12 levels \"Sprat\",\"Sandeel\",..: 1 1 1 1 1 1 1 1 1 1 ... ##  $ value: num  8.77e+07 2.52e+09 3.21e+09 7.50e+08 2.09e+08 ..."},{"path":"https://sizespectrum.org/mizer/articles/plotting.html","id":"ggplot2-or-plotly","dir":"Articles","previous_headings":"","what":"ggplot2 or plotly","title":"Using ggplot2 and plotly with mizer","text":"form information can handed plot_ly() converted line plot: specified time plotted along x axis, value along y axis different species represented colours lines. Note American spelling “color” required plotly. Alternatively can thing ggplot():  Notice different syntax ggplot2 plotly packages. underlying ideas similar: implementations grammar graphics. recommend learning ggplot2 first, switching plotly clear advantages (particular animations, see ). main advantage plotly, namely interactivity resulting figures, can obtained also ggplot syntax running result ggplot() function ggplotly(): always plot first give ggplot code plotly code.","code":"pp <- plot_ly(biomass_frame) %>%      add_lines(x = ~time, y = ~value, color = ~sp) pp pg <- ggplot(biomass_frame) +     geom_line(aes(x = time, y = value, colour = sp)) pg ggplotly(pg)"},{"path":"https://sizespectrum.org/mizer/articles/plotting.html","id":"adding-labels","dir":"Articles","previous_headings":"","what":"Adding labels","title":"Using ggplot2 and plotly with mizer","text":"may want add labels figure axes. ggplot done labs().  plotly use layout() function.","code":"pg + labs(title = \"Biomass plot\",           x = \"Time [years]\",           y = \"Biomass [g]\") pp %>% layout(     title = \"Biomass plot\",     xaxis = list(         title = \"Time [years]\"     ),     yaxis = list(         title = \"Biomass [g]\"     ) )"},{"path":"https://sizespectrum.org/mizer/articles/plotting.html","id":"filtering-out-data","dir":"Articles","previous_headings":"","what":"Filtering out data","title":"Using ggplot2 and plotly with mizer","text":"can use filter function filter data. example select data specific species: Now plot reduced data frame get  first converted array data frame melt() selected data interest filter(). alternatively first selected desired entries array created data frame melt() resulting smaller array:  result looks almost identical, except colours associated species changed.","code":"two_species_biomass <- filter(biomass_frame, sp %in% c(\"Gurnard\", \"Herring\")) ggplot(two_species_biomass) +     geom_line(aes(x = time, y = value, color = sp)) nfr <- melt(getBiomass(sim)[, c(\"Gurnard\", \"Herring\")]) ggplot(nfr) +     geom_line(aes(x = time, y = value, color = sp))"},{"path":"https://sizespectrum.org/mizer/articles/plotting.html","id":"specifying-line-colours","dir":"Articles","previous_headings":"","what":"Specifying line colours","title":"Using ggplot2 and plotly with mizer","text":"want make sure species always colour, can use colours specified MizerParams object use colours ggplot add scale_colour_manual():  plotly add colors = getColours(params)r add_lines() command: note American spelling “colors” required plotly.","code":"getColours(params) ##      Sprat    Sandeel     N.pout    Herring        Dab    Whiting       Sole  ##  \"#815f00\"  \"#6237e2\"  \"#8da600\"  \"#de53ff\"  \"#0e4300\"  \"#430079\"  \"#6caa72\"  ##    Gurnard     Plaice    Haddock        Cod     Saithe   Resource      Total  ##  \"#ee0053\"  \"#007957\"  \"#b42979\"  \"#142300\"  \"#a08dfb\"    \"green\"    \"black\"  ## Background    Fishing   External  ##     \"grey\"      \"red\"     \"grey\" ggplot(biomass_frame) +     geom_line(aes(x = time, y = value, color = sp)) +      scale_colour_manual(values = getColours(params)) plot_ly(biomass_frame) %>%      add_lines(x = ~time, y = ~value, color = ~sp,               colors = getColours(params))"},{"path":"https://sizespectrum.org/mizer/articles/plotting.html","id":"plotting-spectra","dir":"Articles","previous_headings":"","what":"Plotting spectra","title":"Using ggplot2 and plotly with mizer","text":"course mizer plotSpectra() function plotting size spectra. instructional create plots hand. can access abundance spectra species via N(sim). three-dimensional array (time x species x size). Let us first look abundance final time. drop = FALSE means result 3 dimensional array. use melt() function convert array data frame. created data frame 4 variables one observation 1200 entries 1 x 12 x rdim(final_n)[3] matrix final_n. first three variables take values dimension names array. course time variable observations, selected creating data frame. fourth variable called value value entry array, abundance density case. lot entries value 0, really interested , makes sense remove : leaves data frame 945 observations. can send data frame ggplot add line spectrum species, different colour , specify want x axis y axis logarithmic scale.  corresponding syntax plotly used pipe operator %>% feeds return value one function first argument next function.","code":"final_n <- N(sim)[idxFinalT(sim), , , drop = FALSE] str(final_n) ##  num [1, 1:12, 1:100] 1.92e+06 4.81e+12 1.15e+14 3.86e+12 1.12e+11 ... ##  - attr(*, \"dimnames\")=List of 3 ##   ..$ time: chr \"10\" ##   ..$ sp  : chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... ##   ..$ w   : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... nf <- melt(final_n) str(nf) ## 'data.frame':    1200 obs. of  4 variables: ##  $ time : int  10 10 10 10 10 10 10 10 10 10 ... ##  $ sp   : Factor w/ 12 levels \"Sprat\",\"Sandeel\",..: 1 2 3 4 5 6 7 8 9 10 ... ##  $ w    : num  0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 ... ##  $ value: num  1.92e+06 4.81e+12 1.15e+14 3.86e+12 1.12e+11 ... nf <- filter(nf, value > 0) pg <- ggplot(nf) +     geom_line(aes(x = w, y = value, color = sp)) +     scale_x_log10() +     scale_y_log10() pg p <- plot_ly(nf) %>%     add_lines(x = ~w, y = ~value, color = ~sp) %>%      layout(xaxis = list(type = \"log\", exponentformat = \"power\"),            yaxis = list(type = \"log\", exponentformat = \"power\")) p"},{"path":"https://sizespectrum.org/mizer/articles/plotting.html","id":"including-resource-spectrum","dir":"Articles","previous_headings":"","what":"Including resource spectrum","title":"Using ggplot2 and plotly with mizer","text":"can include additional lines plot merging several data frames. example, can include another line resource spectrum. first convert also resource abundance final time data frame filter zero values data frame contains three variables, sp column specifying species. add column value “Resource” Now new data frame columns data frame nf two can bound together Using extended data frame gives following plot:  course use data frame also plotly.","code":"nf_pp <- melt(NResource(sim)[idxFinalT(sim), , drop = FALSE]) %>%      filter(value > 0) nf_pp$sp <- \"Resource\" nf <- rbind(nf, nf_pp) p <- ggplot(nf) +     geom_line(aes(x = w, y = value, color = sp)) +      scale_colour_manual(values = getColours(params)) +     scale_x_log10() +     scale_y_log10() p"},{"path":"https://sizespectrum.org/mizer/articles/plotting.html","id":"limiting-the-axes","dir":"Articles","previous_headings":"","what":"Limiting the axes","title":"Using ggplot2 and plotly with mizer","text":"might want zoom part includes fish. three ways achieve . first use filter() filter rows data frame small w plot resulting data frame usual:  second method specify limits axes. ggplot done adding limits axis scales:  NA means existing limits kept. plotly specify range follows: Note plotly range specified giving logarithm base 10 limits.","code":"nf %>%     filter(w > 10^-4) %>%      ggplot() +     geom_line(aes(x = w, y = value, color = sp)) +      scale_colour_manual(values = getColours(params)) +     scale_x_log10() +     scale_y_log10() ggplot(nf) +     geom_line(aes(x = w, y = value, color = sp)) +      scale_colour_manual(values = getColours(params)) +     scale_x_log10(limits = c(10^-4, NA)) +     scale_y_log10(limits = c(NA, 10^20)) plot_ly(nf) %>%     add_lines(x = ~w, y = ~value, color = ~sp,               colours = getColours(params)) %>%      layout(xaxis = list(type = \"log\", exponentformat = \"power\",                         range = c(-4, 4)),            yaxis = list(type = \"log\", exponentformat = \"power\",                         range = c(-14, 20)))"},{"path":"https://sizespectrum.org/mizer/articles/plotting.html","id":"animating-spectra","dir":"Articles","previous_headings":"","what":"Animating spectra","title":"Using ggplot2 and plotly with mizer","text":"Instead picking specific time can ask plotly make animation showing changing spectra time. melt entire N(sim) array use time variable specify frames frame = ~time argument add_lines(): Note produces smooth animation spite fact saved abundances year. interpolation facilitated line = list(simplify = FALSE) argument. ggplot package provide similarly convenient way creating animations. gganimate package, nearly convenient.","code":"melt(N(sim)) %>%      filter(value > 0) %>%      plot_ly() %>%      add_lines(x = ~w, y = ~value,                color = ~sp, colors = getColours(params),               frame = ~time,               line = list(simplify = FALSE)) %>%      layout(xaxis = list(type = \"log\", exponentformat = \"power\"),            yaxis = list(type = \"log\", exponentformat = \"power\"))"},{"path":"https://sizespectrum.org/mizer/articles/plotting.html","id":"comparing-simulations","dir":"Articles","previous_headings":"","what":"Comparing simulations","title":"Using ggplot2 and plotly with mizer","text":"may also want make plots contrasting results two different simulations, example different fishing policies. illustrate create two simulations different fishing effort: Let us look plot fishing yield time. calculated getYield() function, returns array (time x species) can convert data frame Let’s look plot yield first simulation:  make plot less cluttered, keep 4 important species plot  simulation 2 plot looks like :  Comparison easier combine two plots. add extra variable data frames allow us distinguish merge together. ggplot can now use facet_grid() put plot value effort side--side:  can use linetype aesthetic represent different effort values different line types:  alternative use visual diff functionality diffviewer package. purpose need create two plots limits axes. can create visual comparison saving plots temporary files using diffviewer::visual_diff(): plotly less good faceting, can put arbitrary plots side--side (arrange grid) subplot() Note shareY = TRUE argument suplot() makes sure two plots use scale y axis, similarly shareX = TRUE. Also plotly can now tie effort variable line type. Arguably, ggplot2 nicer job case.","code":"sim1 <- project(params, t_max = 10, t_save = 0.2, effort = 2) sim2 <- project(params, t_max = 10, t_save = 0.2, effort = 4) yield1 <- melt(getYield(sim1)) yield2 <- melt(getYield(sim2)) ggplot(yield1) +     geom_line(aes(x = time, y = value, colour = sp)) yield1 <- filter(yield1, sp %in% c(\"Saithe\", \"Cod\", \"Haddock\", \"N.pout\")) yield2 <- filter(yield2, sp %in% c(\"Saithe\", \"Cod\", \"Haddock\", \"N.pout\")) p1 <- ggplot(yield1) +     geom_line(aes(x = time, y = value, colour = sp)) p1 p2 <- ggplot(yield2) +     geom_line(aes(x = time, y = value, colour = sp)) p2 yield1$effort <- as.factor(2) yield2$effort <- as.factor(4) yield <- rbind(yield1, yield2) ggplot(yield) +     geom_line(aes(x = time, y = value,                    colour = sp)) +     facet_grid(cols = vars(effort)) ggplot(yield) +     geom_line(aes(x = time, y = value,                    colour = sp,                   linetype = effort)) p1 <- ggplot(yield1) +     geom_line(aes(x = time, y = value, colour = sp)) +     ylim(0,1.75e12) p2 <- ggplot(yield2) +     geom_line(aes(x = time, y = value, colour = sp)) +     ylim(0,1.75e12) # Save plots to temporary files tmp1 <- tempfile(fileext = \".png\") tmp2 <- tempfile(fileext = \".png\") ggsave(tmp1, p1, width = 6, height = 4) ggsave(tmp2, p2, width = 6, height = 4)  # Create visual diff diffviewer::visual_diff(tmp1, tmp2) subplot(p1, p2, shareX = TRUE, shareY = TRUE) plot_ly(yield) %>%      add_lines(x = ~time, y = ~value,                color = ~sp, linetype = ~effort)"},{"path":"https://sizespectrum.org/mizer/articles/publications.html","id":"publications-describing-mizer","dir":"Articles","previous_headings":"","what":"Publications describing mizer","title":"Publications","text":"F. Scott, J.L. Blanchard K.H. Andersen: mizer: R package multispecies, trait-based community size spectrum ecological modelling. Methods Ecology Evolution 5(10) 1121-1125 (2014). Contains “official” announcement description mizer K.H. Andersen, N.S. Jacobsen K.D. Farnsworth (2016): theoretical foundations size spectrum models fish communities. Canadian Journal Fisheries Aquatic Science 73(4): 575-588. Describes theoretical background three types size spectrum models K.H. Andersen (2019): Fish Ecology, Evolution, Exploitation - New Theoretical Synthesis. Princeton University Press. depth theory","code":""},{"path":"https://sizespectrum.org/mizer/articles/publications.html","id":"publications-using-mizer","dir":"Articles","previous_headings":"","what":"Publications using mizer","title":"Publications","text":"Benoit, D. M., Giacomini, H. C., Chu, C. & Jackson, D. . Identifying influential parameters multi-species fish size spectrum model northern temperate lake sensitivity analyses. Ecological Modelling 460, 109740 (2021). Robinson, J. P. W. et al. Managing fisheries maximum nutrient yield. Fish Fisheries 23, 800–811 (2022). Canales, T. M., Delius, G. W. & Law, R. Regulation fish stocks without stock–recruitment relationships: case small pelagic fish. Fish Fisheries 21, 857–871 (2020). Wo, J. et al. Modeling Dynamics Multispecies Fisheries: Case Study Coastal Water North Yellow Sea, China. Front. Mar. Sci. 7, (2020). Lindmark, M. Temperature- body size scaling. Doctoral Thesis 2020:8, Faculty Natural Resources Agricultural Sciences, SLU. https://pub.epsilon.slu.se/16711/ (2020). Woodworth-Jefcoats, P. ., Blanchard, J. L. & Drazen, J. C. Relative Impacts Simultaneous Stressors Pelagic Marine Ecosystem. Frontiers Marine Science 6, 383 (2019). Spence, M. . et al. general framework combining ecosystem models. Fish Fisheries 19, 1031–1042 (2018). Zhang C, Chen Y, Xu B, Xue Y, Ren Y. Evaluating fishing effects stability fish communities using size-spectrum model. Fisheries Research. 2018 Jan 1;197:123-30. Szuwalski CS, Burgess MG, Costello C, Gaines SD (2017) High fishery catches trophic cascades China. Proc Natl Acad Sci USA 114:717–721. Application South-east China Sea N.S. Jacobsen, M. Burgess K.H. Andersen (2017): Efficiency fisheries increasing ecosystem level. Fish Fisheries 18(2) 199-211. doi:10.1111/faf.12171. Appendix describes simple calibration procedure Zhang, C., Chen, Y., & Ren, Y. (2016). evaluation implementing long-term MSY ecosystem-based fisheries management: Incorporating trophic interaction, bycatch uncertainty. Fisheries Research, 174, 179-189. Zhang C, Chen Y, Thompson K, Ren Y. Implementing multispecies size-spectrum model data-poor ecosystem. Acta Oceanologica Sinica. 2016 Apr 1;35(4):63. Zhang C, Chen Y, Ren Y. efficacy fisheries closure rebuilding depleted stocks: Lessons size-spectrum modeling. Ecological Modelling. 2016 Jul 24;332:59-66. Spence M., Blackwell, P. & Blanchard J.L. (2016) Parameter uncertainty dynamic multispecies size spectrum model. Canadian Journal Fisheries Aquatic Sciences. 10.1139/cjfas-2015-0022 (press) Bayesian parameter estimation uncertainty Datta, S. & Blanchard J.L. (2016) effects seasonal processes size spectrum dynamics. Canadian Journal Fisheries Aquatic Sciences. 10.1139/cjfas-2015-0468 Zhang, C., Chen, Y., & Ren, Y. (2015). Assessing uncertainty multispecies size-spectrum model resulting process observation errors. ICES Journal Marine Science: Journal du Conseil, 72(8), 2223-2233. Jennings, S. & Collingridge, K. Predicting Consumer Biomass, Size-Structure, Production, Catch Potential, Responses Fishing Associated Uncertainties World’s Marine Ecosystems. (2015) PLoS ONE 10(7), e0133794. J.L. Blanchard, K.H. Andersen, F. Scott, N.T. Hinzen, G. Piet, S. Jennings (2014): Evaluating targets trade-offs among fisheries conservation objectives using multispecies size spectrum model. J. Applied Ecology, 51: 612–622. doi:10.1111/1365-2664.12238. Application Mizer North Sea","code":""},{"path":"https://sizespectrum.org/mizer/articles/publications.html","id":"projects-that-have-usedare-using-mizer","dir":"Articles","previous_headings":"","what":"Projects that have used/are using mizer","title":"Publications","text":"MINOUW Project (http://minouw-project.eu/) European Commission Horizon 2020 Research Innovation Programme Grant Agreement . 634495 Rewiring marine food webs: predicting consequences species range shifts. Australian Research Council Discovery Project DP170104240 Mesopelagic Southern Ocean Prey Predators (MESOPP), European Commission H2020 (www.mesopp.eu) Expert Working Group Benchmarks Ecosystem Assessment EBFM. Lenfest Ocean Program Marine Ecosystems Research Programme (MERP) (https://marine-ecosystems.org.uk). UK Defra - Natural Environmental Research Council “Monitoring Management Deepwater Fisheries Stocks” (Deepfishman) European Union Framework 7. “Developing fisheries management indicators targets” (DEFINEIT) European Marifish Joint Research project. “Indicators fisheries Management Europe” (IMAGE) European Union Framework 6.","code":""},{"path":"https://sizespectrum.org/mizer/articles/running_a_simulation.html","id":"sec:projection","dir":"Articles","previous_headings":"","what":"Introduction","title":"Running a Simulation","text":"community trait-based models, used project() function perform simple simulations fishing effort held constant throughout duration simulation. trait-based model example, also looked effort different gears specified. section take detailed look project() function works different ways effort time can set . allow us run general systems like multispecies model. mizer, simulations performed using project() function. function takes MizerParams object projects forward time, starting initial population abundance pre-determined fishing effort pattern. Running projection project() requires various arguments: MizerParams object - model parameters (see previous section); Fishing effort - fishing effort gear time; Time arguments - Arguments control time simulation, including simulation time step, length simulation frequently output stored. Initial population - initial abundances stocks resource spectrum; help page project() describes arguments detail. MizerParams class explored previous section. section look arguments use examples perform simple projections.","code":""},{"path":"https://sizespectrum.org/mizer/articles/running_a_simulation.html","id":"sec:time_arguments","dir":"Articles","previous_headings":"","what":"The time arguments","title":"Running a Simulation","text":"four arguments control time project() function: dt, t_max t_save t_start. default values. t_max determines maximum time simulation (years), .e. long projection run . default value t_max 100. dt time step used numerical solver project(). smaller value, longer model take run. Sometimes necessary use small value avoid numerical instabilities. default value 0.1. t_save sets interval (years) project() stores state model resulting MizerSim object. example, t_save = 2, state model stored t = 0, 2, 4… etc. t_save must multiple dt. default value t_save 1. t_start year simulation starts. needed want label simulation results actual year rather number years elapsed since start simulation.","code":""},{"path":"https://sizespectrum.org/mizer/articles/running_a_simulation.html","id":"setting-the-fishing-effort","dir":"Articles","previous_headings":"","what":"Setting the fishing effort","title":"Running a Simulation","text":"fishing effort argument describes effort fishing gears model time. already seen information fishing gears selectivities catchabilities stored MizerParams object. three ways setting fishing effort. Examples three can seen section projection examples. simplest way passing effort argument single number. value used fishing effort gears time step projection, .e. fishing effort constant throughout simulation gears. seen method community trait-based model sections . length simulation determined t_max argument. second method setting fishing effort use numeric vector length number gears. values vector used fishing effort gear time step, .e. , fishing effort constant time now gear can different constant effort. effort vector must named names must gears MizerParams object. , length simulation determined t_max argument. Finally, sophisticated way setting fishing effort use two-dimensional array matrix values, set time step gear. row array effort values fishing gear particular time time. array must dimension names. names first dimension (row names) times. steps times can greater dt argument times must increasing. names second dimension (column names) must match names gears MizerParams object used projection. necessary supply t_max argument effort specified array maximum time simulation taken dimension names. value t_max also supplied ignored.","code":""},{"path":"https://sizespectrum.org/mizer/articles/running_a_simulation.html","id":"sec:setting_initial_abundances","dir":"Articles","previous_headings":"","what":"Setting the initial population abundance","title":"Running a Simulation","text":"running simulation project() function, initial populations species resource spectrum need specified. Default values initial values automatically set creating MizerParams object. However can change assigning new values initialN() initialNResource(). initialN() set matrix (dimensions species x size) contains initial abundances species size (sizes must match species size spectrum). initialNResource vector length length full spectrum.","code":""},{"path":"https://sizespectrum.org/mizer/articles/running_a_simulation.html","id":"sec:projection_examples","dir":"Articles","previous_headings":"","what":"Projection examples","title":"Running a Simulation","text":"section ’ll look run simulations project() function. examples focus fishing effort can specified different ways. results simulations explored detail. leave section exploring simulation results.. Remember fishing mortality size species product selectivity, catchability effort gear caught . specified catchability values species parameter data.frame default value 1 used. selectivity ranges 0 1. means examples fishing mortality fully selected species given effort gear catches .","code":""},{"path":"https://sizespectrum.org/mizer/articles/running_a_simulation.html","id":"projections-with-single-simple-constant-effort","dir":"Articles","previous_headings":"Projection examples","what":"Projections with single, simple constant effort","title":"Running a Simulation","text":"use single value effort argument, value used constant effort gears. method can particularly useful quickly projecting forward without fishing (just set effort argument 0). use MizerParams object four gears similar one created section examples making MizerParams objects example MizerParams object called NS_params shipped mizer package. Let’s look summary: well thinking effort argument also need consider time parameters. project populations forward time equals 10 (t_max = 10), time step 0.1 (dt = 0.1), saving output every time step (t_save = 1). use constant effort value 1.0. resulting sim object class MizerSim. point won’t explore results can investigated detail. However, use basic summary plot seen :  big difference multispecies model trait-based model can seen range predation mortality feeding level values. trait-based model species predation mortality feeding level patterns. species different patterns, driven differing life history characteristics heterogeneous interaction matrix. can also see figure species different fishing selectivity (see fishing mortality panel). Remember default setting fishing gears knife-edge gear knife-edge positioned species w_mat parameter. effort time can inspected getEffort() (use head() function just show first lines). effort slot shows effort time gear. example, specified effort argument single numeric value 1. can see results effort used gears time steps. summary() method also available objects type MizerSim. essentially summary MizerParams objects, includes information simulation time parameters. decrease t_save keep t_max can see time dimension effort array changes accordingly. also true simulation results returned N() NResource(). reduce t_save 0.5, meaning effort abundance information stored t = 1.0, 1.5, 2.0 etc.","code":"summary(NS_params) ## An object of class \"MizerParams\"  ## Consumer size spectrum: ##  minimum size:   0.001 ##  maximum size:   39851.3 ##  no. size bins:  100 ## Resource size spectrum: ##  minimum size:   2.12182e-13 ##  maximum size:   9.82091 ##  no. size bins:  179 (226 size bins in total) ## Species details: ##    species   w_max w_mat w_min  f0   beta sigma ## 1    Sprat    33.0    13 0.001 0.6  51076   0.8 ## 2  Sandeel    36.0     4 0.001 0.6 398849   1.9 ## 3   N.pout   100.0    23 0.001 0.6     22   1.5 ## 4  Herring   334.0    99 0.001 0.6 280540   3.2 ## 5      Dab   324.0    21 0.001 0.6    191   1.9 ## 6  Whiting  1192.0    75 0.001 0.6     22   1.5 ## 7     Sole   866.0    78 0.001 0.6    381   1.9 ## 8  Gurnard   668.0    39 0.001 0.6    283   1.8 ## 9   Plaice  2976.0   105 0.001 0.6    113   1.6 ## 10 Haddock  4316.5   165 0.001 0.6    558   2.1 ## 11     Cod 39851.3  1606 0.001 0.6     66   1.3 ## 12  Saithe 39658.6  1076 0.001 0.6     40   1.1 ##  ## Fishing gear details: ## Gear          Effort  Target species  ##  ---------------------------------- ## Industrial     0.00   Sprat, Sandeel, N.pout  ## Pelagic        1.00   Herring  ## Beam           0.50   Dab, Sole, Plaice  ## Otter          0.50   Whiting, Gurnard, Haddock, Cod, Saithe sim <- project(NS_params, effort = 1, t_max = 10, dt = 0.1, t_save = 1) plot(sim) head(getEffort(sim)) ##     gear ## time Industrial Pelagic Beam Otter ##    0          1       1    1     1 ##    1          1       1    1     1 ##    2          1       1    1     1 ##    3          1       1    1     1 ##    4          1       1    1     1 ##    5          1       1    1     1 summary(sim) sim <- project(NS_params, effort = 1, t_max = 10, dt = 0.1, t_save = 0.5) head(getEffort(sim)) ##      gear ## time  Industrial Pelagic Beam Otter ##   0            1       1    1     1 ##   0.5          1       1    1     1 ##   1            1       1    1     1 ##   1.5          1       1    1     1 ##   2            1       1    1     1 ##   2.5          1       1    1     1"},{"path":"https://sizespectrum.org/mizer/articles/running_a_simulation.html","id":"sec:proj_diff_gears_constant_effort","dir":"Articles","previous_headings":"Projection examples","what":"Setting constant effort for different gears","title":"Running a Simulation","text":"mentioned , can also set effort values gear separately using vector effort values. still keeps efforts constant time means gear can different constant effort. need create named vector effort, names match gears. example, want switch industrial gear (.e. effort = 0), keep pelagic gear effort 1, set effort beam trawl gears 0.3 effort otter trawl gear 0.7. set effort like : call project() effort inspect resulting effort matrix (use head() function just show first lines): can see effort gear constant gear effort specified effort argument. impact can seen plotting fishing mortality. dedicated plot, plotFMort(), shows fishing mortality size species particular time step (default final time step). fishing mortality species determined effort gear caught .","code":"effort <- c(Industrial = 0, Pelagic = 1, Beam = 0.3, Otter = 0.7) sim <- project(NS_params, effort = effort, t_max = 10, dt = 1, t_save = 1) head(getEffort(sim)) ##     gear ## time Industrial Pelagic Beam Otter ##    0          0       1  0.3   0.7 ##    1          0       1  0.3   0.7 ##    2          0       1  0.3   0.7 ##    3          0       1  0.3   0.7 ##    4          0       1  0.3   0.7 ##    5          0       1  0.3   0.7 plotFMort(sim)"},{"path":"https://sizespectrum.org/mizer/articles/running_a_simulation.html","id":"an-example-of-changing-effort-through-time","dir":"Articles","previous_headings":"Projection examples","what":"An example of changing effort through time","title":"Running a Simulation","text":"example set complicated fishing effort structure allows fishing effort gear change time. mentioned , , effort must supplied two dimensional array matrix. first dimension time second dimension gear. dimensions must named. gear names must match gears MizerParams object. Also, mentioned , effort passed array length simulation determined time dimension names argument t_max used. Instead simulation runs earliest time effort array latest. example, project forward time \\(t=1\\) time \\(t=10\\). effort industrial gear held constant 0.5, effort pelagic gear increased linearly 1 2, effort beam trawl decreases linearly 1 0, whilst effort otter trawl decreases linearly 1 0.5. First create empty effort array: fill , one gear time, making heavy use seq() function create sequence: first rows effort array shown illustration: first row gives effort times 1 2, second times 2 3, . time 10 row array actually used, except set final time simulation. Now can use effort array projection: can see, can quite fiddly set complicated effort array may easier prepare advance .csv file read , similar read interaction matrix section examples making MizerParams object. give example section North Sea model. Note example set effort array effort set every whole time step (e.g. time = 1, 2, etc). case possible set effort frequently , e.g. time = 1.0, 1.5, 2.0, 2.5 etc. restriction difference time dimension names must least big dt argument. Now know run simulation, ready learn explore simulation results.","code":"gear_names <- c(\"Industrial\",\"Pelagic\",\"Beam\",\"Otter\") times <- seq(from = 1, to = 10, by = 1) effort_array <- array(NA, dim = c(length(times), length(gear_names)),     dimnames = list(time = times, gear = gear_names)) effort_array[,\"Industrial\"] <- 0.5 effort_array[,\"Pelagic\"] <- seq(from = 1, to = 2, length = length(times)) effort_array[,\"Beam\"] <- seq(from = 1, to = 0, length = length(times)) effort_array[,\"Otter\"] <- seq(from = 1, to = 0.5, length = length(times)) head(effort_array) ##     gear ## time Industrial  Pelagic      Beam     Otter ##    1        0.5 1.000000 1.0000000 1.0000000 ##    2        0.5 1.111111 0.8888889 0.9444444 ##    3        0.5 1.222222 0.7777778 0.8888889 ##    4        0.5 1.333333 0.6666667 0.8333333 ##    5        0.5 1.444444 0.5555556 0.7777778 ##    6        0.5 1.555556 0.4444444 0.7222222 sim <- project(NS_params, effort = effort_array, dt = 0.1) head(sim@effort) ##     gear ## time Industrial  Pelagic      Beam     Otter ##    1        0.5 1.000000 1.0000000 1.0000000 ##    2        0.5 1.111111 0.8888889 0.9444444 ##    3        0.5 1.222222 0.7777778 0.8888889 ##    4        0.5 1.333333 0.6666667 0.8333333 ##    5        0.5 1.444444 0.5555556 0.7777778 ##    6        0.5 1.555556 0.4444444 0.7222222"},{"path":"https://sizespectrum.org/mizer/articles/single_species_size-spectrum_dynamics.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"Single-species size-spectrum dynamics","text":"tutorial gain understanding size-spectrum dynamics. separate size-spectrum effects multi-species effects, concentrate single species tutorial. Size-spectrum dynamics describes detail biomass transported ecosystem small sizes large sizes. Thus best way think size-spectrum dynamics think traffic highway, except instead cars travelling along road fish growing along size axis, way egg size maximum size. Let us explore analogy briefly. flow traffic highway dependent traffic density, turn dependent changes traffic velocity. High traffic density arises sections road traffic velocity decreases. decrease can lead traffic jams. Low traffic density arises sections velocity increases, familiar emerging side traffic jam. Traffic jams self-reinforcing phenomena: decrease speed somewhere density cars increases causes decrease speed, leading even higher density, . Similarly, high fish density arises size classes growth rate decreases. pronounced decrease growth rate can lead pronounced peaks fish density, similar traffic jam. course fish density also controlled death rate, high death rate leading decreased fish density. precise, fish density size class increases rate fish grow size class larger rate either grow size class die size class. Thus size-spectrum dynamics result interplay death rate changes growth rate. mathematically minded, interplay expressed partial differential equation \\[\\frac{\\partial}{\\partial t}N(w,t) = -\\frac{\\partial}{\\partial w}\\big(N(w,t)g(w,t)\\big) - \\mu(w,t)\\] \\(N(w,t)\\) fish density size \\(w\\) time \\(t\\), \\(g(w,t)\\) growth rate individual size \\(w\\) time \\(t\\) \\(\\mu(w,t)\\) death rate. need understand mathematical notation. Size-spectrum dynamics like traffic highway cars can leave highway (fish can die) point, can join highway beginning (fish start egg size). model size spectrum therefore also describe rate \\(R(t)\\) eggs entering size spectrum, .e., rate mature fish reproduce. discussing detail determines death rate \\(\\mu(w,t)\\), growth rate \\(g(w,t)\\) rate reproduction \\(R(t)\\).","code":""},{"path":"https://sizespectrum.org/mizer/articles/single_species_size-spectrum_dynamics.html","id":"why-study-size-spectrum-dynamics","dir":"Articles","previous_headings":"","what":"Why study size-spectrum dynamics?","title":"Single-species size-spectrum dynamics","text":"study traffic dynamics real practical benefits. example, least motorways Europe, danger traffic jam developing, automatic speed restrictions imposed certain distance front developing slow-moving traffic. motorists thought traffic flow, speed restrictions places obvious reason annoying. However indeed avoid formation traffic jam. course can directly tell fish obey limits growth rates. However influence size-spectrum dynamics fishing policy. example species experiences stunted growth, like example Herring Baltic Sea, resolve reducing numbers (increases growth rate reduced competition food) reducing fishing prey. size-spectrum dynamics multi-species ecosystem extremely complex. can understand simplified cases analytically, general need use numerical simulation understand consequences various interventions. mizer package can simulate size-spectrum dynamics. Given model parameters enter expression growth rate, death rate reproductive rate, initial fish size spectrum, mizer simulates changes size spectrum time according equations. particular interest steady state size spectrum, effects death rate changes growth rate exactly balance way size spectrum stays constant time. looking steady state time-varying size spectra . emphasis understanding dynamics. just want learn run simulations want use simulations develop intuition fish populations behave. therefore start simple models first.","code":""},{"path":"https://sizespectrum.org/mizer/articles/single_species_size-spectrum_dynamics.html","id":"a-first-example","dir":"Articles","previous_headings":"","what":"A first example","title":"Single-species size-spectrum dynamics","text":"effective way working tutorial open R script file RStudio copying commands tutorial R script file. execute sending R console, thereby reproducing results. Later tutorial exercises can adapting code R script file tasks exercises. way pick facility working mizer R time gaining deeper understanding size spectrum modelling. First, load required packages following commands: get error messages saying particular package available, need install package. Mizer collects parameters describing size-spectrum model one object class MizerParams. need set object hand instead several wrapper functions mizer create object various types models, also many functions changing specific parameters model. use newSingleSpeciesParams() function set model describing single fish species living ecosystem whose community size spectrum given power-law. newSingleSpeciesParams() function many arguments allow specify parameters fish species well community, arguments default values, can simply call function without specifying arguments. specify power-law exponent background community function returns MizerParams object assigned variable params. explaining model go along.","code":"library(mizer) library(dplyr) library(plotly) library(ggplot2) params <- newSingleSpeciesParams(lambda = 2.05)"},{"path":"https://sizespectrum.org/mizer/articles/single_species_size-spectrum_dynamics.html","id":"steady-state-spectrum","dir":"Articles","previous_headings":"","what":"Steady state spectrum","title":"Single-species size-spectrum dynamics","text":"params object also contains initial size spectrum close steady state model. steady state state size class inflow individuals growth exactly balances outflow individuals growth death. start close steady state usually simulate size-spectrum dynamics population evolve closer closer steady state. get steady state use steady() function. result function MizerParams object now initial size spectrum evolved close steady state. can plot size spectrum plotSpectra() function.  power = 0 argument plotSpectra() function specifies want plot number density, rather example biomass density. green line represents number density background community, labelled “Resource” plot legend, foreground species finds . green line straight line slope lambda = -2.05. important understand power-law curve looks like straight line plotted logarithmic axes slope line exponent power law. Thus number density proportional \\(w^{-2.05}\\). line represents number density single species, default just named unimaginatively “Target species”. see straight line initially, bump declining rapidly large sizes. discuss short causes shape. initial slope species number density negative, means fewer larger fish smaller fish. course understandable: fish die growing , tend fewer fish larger size classes. Now time first exercise use commands just learned . Create MizerParams object describing single species power-law background Sheldon exponent 2.1. Assign MizerParams object variable name params, order overwrite MizerParams object created . plot number density function weight steady state model. happy plot, can continue reading. need see solution, can click “Solution” triangle .","code":"params <- steady(params) ## Convergence was achieved in 1.5 years. plotSpectra(params, power = 0) params2 <- newSingleSpeciesParams(lambda = 2.1) params2 <- steady(params2) ## Convergence was achieved in 1.5 years. plotSpectra(params2, power = 0)"},{"path":"https://sizespectrum.org/mizer/articles/single_species_size-spectrum_dynamics.html","id":"numbers","dir":"Articles","previous_headings":"","what":"Numbers","title":"Single-species size-spectrum dynamics","text":"plotSpectra() function gives us plot number density, nice get actual numbers. steady() function stored numbers initial condition params object can access initialN() function. Let us assign variable n: can see “Environment” pane RStudio, n matrix 1 row 101 columns. one row corresponds one species. multispecies model one row species, holding number density species. 101 columns number densities 101 size classes. fact, n named array, .e., row column names. can extract dimnames() function. names columns weight grams start size class. Notice R displays long vectors breaking across many lines starting line number brackets. number index first value row. example see 61st size bracket starts 1 gram. number density size class 1 gram 1.12 grams important realise number fish size class, number density. get number fish multiply number width size class. widths can obtained dw() function. number fish 61st size class may surprised small number interpret number fish 1 gram 1.12 gram entire ocean. However looks reasonable average number per square meter sea. discussion issue working numbers per area, numbers per volume numbers entire system see https://sizespectrum.org/mizer/reference/setParams.html#units--mizer Determine total number fish sizes 10 grams 20 grams. can use sum() function add together contributions various size classes.","code":"n <- initialN(params) dimnames(n) ## $sp ## [1] \"Target species\" ##  ## $w ##   [1] \"0.001\"   \"0.00112\" \"0.00126\" \"0.00141\" \"0.00158\" \"0.00178\" \"0.002\"   ##   [8] \"0.00224\" \"0.00251\" \"0.00282\" \"0.00316\" \"0.00355\" \"0.00398\" \"0.00447\" ##  [15] \"0.00501\" \"0.00562\" \"0.00631\" \"0.00708\" \"0.00794\" \"0.00891\" \"0.01\"    ##  [22] \"0.0112\"  \"0.0126\"  \"0.0141\"  \"0.0158\"  \"0.0178\"  \"0.02\"    \"0.0224\"  ##  [29] \"0.0251\"  \"0.0282\"  \"0.0316\"  \"0.0355\"  \"0.0398\"  \"0.0447\"  \"0.0501\"  ##  [36] \"0.0562\"  \"0.0631\"  \"0.0708\"  \"0.0794\"  \"0.0891\"  \"0.1\"     \"0.112\"   ##  [43] \"0.126\"   \"0.141\"   \"0.158\"   \"0.178\"   \"0.2\"     \"0.224\"   \"0.251\"   ##  [50] \"0.282\"   \"0.316\"   \"0.355\"   \"0.398\"   \"0.447\"   \"0.501\"   \"0.562\"   ##  [57] \"0.631\"   \"0.708\"   \"0.794\"   \"0.891\"   \"1\"       \"1.12\"    \"1.26\"    ##  [64] \"1.41\"    \"1.58\"    \"1.78\"    \"2\"       \"2.24\"    \"2.51\"    \"2.82\"    ##  [71] \"3.16\"    \"3.55\"    \"3.98\"    \"4.47\"    \"5.01\"    \"5.62\"    \"6.31\"    ##  [78] \"7.08\"    \"7.94\"    \"8.91\"    \"10\"      \"11.2\"    \"12.6\"    \"14.1\"    ##  [85] \"15.8\"    \"17.8\"    \"20\"      \"22.4\"    \"25.1\"    \"28.2\"    \"31.6\"    ##  [92] \"35.5\"    \"39.8\"    \"44.7\"    \"50.1\"    \"56.2\"    \"63.1\"    \"70.8\"    ##  [99] \"79.4\"    \"89.1\"    \"100\" n[1, 61] ## [1] 0.0003282314 (n * dw(params))[1, 61] ## [1] 4.005029e-05 sum((n * dw(params))[1, 81:86]) ## [1] 4.163148e-05"},{"path":"https://sizespectrum.org/mizer/articles/single_species_size-spectrum_dynamics.html","id":"biomass-spectra","dir":"Articles","previous_headings":"","what":"Biomass spectra","title":"Single-species size-spectrum dynamics","text":"Without power argument (power = 1 default) plotSpectra() function plots biomass density function size.  Now green line representing biomass density background slope -1.05. initial slope species biomass density negative, meaning biomass density decreases size. means even though individual fish course gain biomass grow , much death among larvae juvenile fish total biomass cohort nevertheless decreases grows . explain reason later discuss predation mortality. can also plot Sheldon spectrum, .e., biomass density function log weight instead weight, supplying argument power = 2 plotSpectra().  now shows approximately constant biomass density function log size (slope green line -0.05). biomass density species function log size initially increases. binned logarithmically-sized bins biomass bin initially increase, starts decreasing close maximum size species. may bit confusing displayed size spectrum three different ways. important aware literature see different conventions used, see plot size spectrum always need ask exactly density shown. can obtain biomass density size class number density multiplying number density weight individuals size class. obtain weights, use function w() returns weights start size class. course using lead discretisation error fish size class weight, small size classes use mizer, error important. calculate total biomass size class obtain multiplying biomass density size class width size class example biomass fish 1 gram 1.12 grams Next discuss shape species size-spectrum detail.","code":"plotSpectra(params) plotSpectra(params, power = 2) biomass_density <- n * w(params) biomass <- biomass_density * dw(params) biomass[61] ## [1] 4.005029e-05"},{"path":"https://sizespectrum.org/mizer/articles/single_species_size-spectrum_dynamics.html","id":"allometric-rates","dir":"Articles","previous_headings":"","what":"Allometric rates","title":"Single-species size-spectrum dynamics","text":"first striking feature species size-spectrum, representations, small fish (larvae juveniles) given straight line. due allometric scaling physiological rates, discuss section. striking feature bulge around maturity size, discuss section reproduction. First , metabolic rate, .e., rate organism expends energy basic metabolic needs, scales power organism’s body size, power \\(p = 3/4\\). energy needs supplied consumption food, natural assume also consumption rate scales allometrically power \\(n = 3/4\\). consumption greater metabolic cost excess leads growth. Hence growth rate scales allometrically power \\(n = 3/4\\). standard choices allometric exponents, mizer allows choose values \\(p\\) \\(n\\). Finally, death rate organisms tends scale allometrically power \\(p - 1 = 3/4 - 1 = -1/4\\). death rate experienced larger individuals smaller small individuals. confirmed many observations. result mathematics growth death rates scale allometrically exponents \\(p\\) \\(1-p\\) respectively, metabolic exponent \\(p\\), number density steady state also power law, .e., straight line log-log plot. Let us check model physiological rates indeed power laws, least small sizes. can get growth rate getEGrowth() function. assign result variable name growth_rate. can see “Environment” pane matrix one row one species 101 columns 101 size classes. example growth rate size 1 gram (seen 61st size class starts 1 gram). instantaneous per-capita growth rate, measured grams per year. like make log-log plot growth rate size check gives straight line. use ggplot() purpose. ggplot() likes work data frames instead named matrices, first convert matrix data frame melt() function. can see “Environment” pane new variable called growth_rate_frame data frame 101 observations 3 variables. 101 observations correspond 101 size classes. 3 variables names species sp, size w, value contains growth_rate. data frame can pass ggplot().  Note linked x axis w variable y axis value variable specified axes logarithmic scale. see least size grams line straight. Let’s isolate growth rate smaller sizes fit linear model slope line indeed \\(0.75 = 3/4\\). fact, shows juveniles \\[\\log(g(w)) = 1.435 + \\frac34 \\log(w)\\] thus \\[g(w) = g_0\\ w^p = 1.435\\  w^{3/4}.\\] course real model, growth rate exactly follow power law, due variations growth rate due variations food availability, example. Now . exercise 3 exercise notebook. Use methods just seen make log-log plot mortality rate. can get mortality rate getMort() function. adjusting code new task, need take account name size-dimension array returned getMort() \"w_prey\" instead \"w\".  fit linear model determine slope intercept thus allometric exponent coefficient mortality rate, establish mortality rate \\[\\mu(w) = \\mu_0\\ w^{p-1} = 1.36 \\ w^{-1/4}.\\]","code":"growth_rate <- getEGrowth(params) growth_rate[1, 61] ## [1] 4.2 growth_rate_frame <- melt(growth_rate) names(growth_rate_frame) ## [1] \"sp\"    \"w\"     \"value\" p <- ggplot(growth_rate_frame) +     geom_line(aes(x = w, y = value)) +     scale_x_log10() +     scale_y_log10() +     labs(x = \"Weight [g]\",          y = \"Growth rate [g/year]\") p g_small_fish <- filter(growth_rate_frame, w <= 10) lm(log(g_small_fish$value) ~ log(g_small_fish$w)) ##  ## Call: ## lm(formula = log(g_small_fish$value) ~ log(g_small_fish$w)) ##  ## Coefficients: ##         (Intercept)  log(g_small_fish$w)   ##               1.435                0.750 mort_rate_frame <- melt(getMort(params)) p <- ggplot(mort_rate_frame) +     geom_line(aes(x = w_prey, y = value)) +     scale_x_log10() +     scale_y_log10() +     labs(x = \"Weight [g]\",          y = \"Growth rate [g/year]\") p lm(log(mort_rate_frame$value) ~ log(mort_rate_frame$w_prey)) ##  ## Call: ## lm(formula = log(mort_rate_frame$value) ~ log(mort_rate_frame$w_prey)) ##  ## Coefficients: ##                 (Intercept)  log(mort_rate_frame$w_prey)   ##                        1.36                        -0.25"},{"path":"https://sizespectrum.org/mizer/articles/single_species_size-spectrum_dynamics.html","id":"slope-of-juvenile-spectrum","dir":"Articles","previous_headings":"","what":"Slope of juvenile spectrum","title":"Single-species size-spectrum dynamics","text":"seen juvenile fish growth rate death rate power laws exponents \\(p=3/4\\) \\(p-1=-1/4\\) respectively. solving differential equation can derive juvenile spectrum also follows power law: \\[N(w) = N_0\\ w^{-\\mu_0/g_0 - p}\\] won’t maths (probably don’t want anyway), can check claim numerically. Let’s look spectrum 10 grams. now know . first convert number density matrix n dataframe filter observations \\(w\\leq 10\\). resulting data frame pass ggplot() ask plot line log-log axes.  confirms seen earlier, fish less 10 grams number density power law. determine exponent power law need slope straight line log-log plot, easiest way fit linear model log variables: linear model fit says exponent -1.682. mathematics claimed exponent \\(-\\mu_0 / g_0 - p\\). already observed \\(\\mu_0 = 1.36\\) \\(g_0 = 1.435\\) get quite result linear model fit, nature numerical calculations: one gets discretisation errors rounding errors.","code":"nf <- melt(n) %>%    filter(w <= 10)  ggplot(nf) +   geom_line(aes(x = w, y = value)) +   scale_x_log10() +   scale_y_log10() +   labs(x = \"Weight [g]\",        y = \"Number density [1/g]\") lm(log(nf$value) ~ log(nf$w)) ##  ## Call: ## lm(formula = log(nf$value) ~ log(nf$w)) ##  ## Coefficients: ## (Intercept)    log(nf$w)   ##      -8.022       -1.682 -m0 / g0 - 3 / 4 ## [1] -1.697735"},{"path":"https://sizespectrum.org/mizer/articles/single_species_size-spectrum_dynamics.html","id":"shape-of-adult-spectrum","dir":"Articles","previous_headings":"","what":"Shape of adult spectrum","title":"Single-species size-spectrum dynamics","text":"Now understand shape size spectrum juvenile fish, let us try understand bulge follows. increase abundance see around maturity size species due drop growth rate size. turn due fact mature fish invests energy income reproduction.","code":""},{"path":"https://sizespectrum.org/mizer/articles/single_species_size-spectrum_dynamics.html","id":"investment-into-reproduction","dir":"Articles","previous_headings":"Shape of adult spectrum","what":"Investment into reproduction","title":"Single-species size-spectrum dynamics","text":"Let us look plot proportion available energy invested reproduction function size  maturity curve specified? can find details mizer documentation. look three species parameters involved: maturity size w_mat 50% individuals mature. maximum size w_max population invests 100% income reproduction thus growth zero. exponent m determines proportion individual invests reproduction scales size. species parameters contained data frame inside params object can access species_params() function. can see, lot species parameters, talk later. now let’s just select three parameters interested .","code":"psi <- melt(getMaturityProportion(params) * getReproductionProportion(params)) ggplot(psi) +   geom_line(aes(x = w, y = value)) +   labs(x = \"Weight [g]\",        y = \"Proportion invested into reproduction\") species_params(params) ##                       species w_min w_max    w_mat w_min_idx  h    gamma ks  f0 ## Target species Target species 0.001   100 25.11886         1 30 2066.004  3 0.6 ##                  fc beta sigma z0 alpha   erepro    n    p w_repro_max ## Target species 0.25  100   1.3  0   0.4 0.899483 0.75 0.75         100 ##                interaction_resource pred_kernel_type k   q  w_mat25 m R_max ## Target species                    1        lognormal 0 0.8 22.50546 1   Inf select(species_params(params), w_mat, w_max, m) ##                   w_mat w_max m ## Target species 25.11886   100 1"},{"path":"https://sizespectrum.org/mizer/articles/single_species_size-spectrum_dynamics.html","id":"effect-of-change-in-maturity-curve","dir":"Articles","previous_headings":"Shape of adult spectrum","what":"Effect of change in maturity curve","title":"Single-species size-spectrum dynamics","text":"Let us investigate happens change maturity curve. Let’s assume maturity size actually 40 grams. Let us change value species_params data frame. first make copy params object can keep old version around unchanged. copy now change species parameters Now maturity curve changed, can verify plotting  point let’s take little break learn draw two curves graph. can see old maturity curve new maturity curve plot? First add extra column dataframe describing bind two data frames together send combined data frame ggplot()  change maturity curve course implies change growth rates. Make plot showing growth rates original model model changed maturity curve.  Next let us look steady state spectrum changed. first need run changed model steady state use technique plot steady-state spectra models top .  expected, bump happens later due larger maturity size less pronounced, maturity curve less steep.","code":"params_changed_maturity <- params species_params(params_changed_maturity)$w_mat <- 40 psi_changed_maturity <-      melt(getMaturityProportion(params_changed_maturity) *              getReproductionProportion(params_changed_maturity)) ggplot(psi_changed_maturity) +   geom_line(aes(x = w, y = value)) +   labs(x = \"Weight [g]\",        y = \"Proportion invested into reproduction\") psi$type <- \"original\" psi_changed_maturity$type <- \"changed\" psi_combined <- rbind(psi, psi_changed_maturity) ggplot(psi_combined) +   geom_line(aes(x = w, y = value, colour = type)) +   labs(x = \"Weight [g]\",        y = \"Proportion invested into reproduction\") growth_rate_frame_changed <- melt(getEGrowth(params_changed_maturity)) growth_rate_frame$type <- \"original\" growth_rate_frame_changed$type <- \"changed\" growth_rate_frame_combined <- rbind(growth_rate_frame,                                     growth_rate_frame_changed) ggplot(growth_rate_frame_combined) +   geom_line(aes(x = w, y = value, colour = type)) +   labs(x = \"Weight [g]\",        y = \"Growth rate [g/year]\") params_changed_maturity <- steady(params_changed_maturity) ## Convergence was achieved in 7.5 years. ## Warning in setBevertonHolt(params, reproduction_level = old_reproduction_level): The following species require an unrealistic value greater than 1 for `erepro`: Target species nf <- melt(initialN(params)) nf_changed_maturity <- melt(initialN(params_changed_maturity)) nf$type <- \"original\" nf_changed_maturity$type <- \"changed\" nf_combined <- rbind(nf, nf_changed_maturity) ggplot(nf_combined) +   geom_line(aes(x = w, y = value, colour = type)) +   scale_x_log10() +   scale_y_log10() +   labs(x = \"Weight [g]\",        y = \"Number density [1/g]\")"},{"path":"https://sizespectrum.org/mizer/articles/single_species_size-spectrum_dynamics.html","id":"reproductive-efficiency","dir":"Articles","previous_headings":"Shape of adult spectrum","what":"Reproductive efficiency","title":"Single-species size-spectrum dynamics","text":"happens energy invested reproduction? leads spawning thus influx new individuals egg size. conversion energy invested reproduction egg biomass inefficient. Firstly much energy spent things like migration spawning grounds, rather production gonadic mass. Secondly, small proportion eggs produced viable hatch larvae. order population steady state, reproductive efficiency particular value. higher, population increase, lower, population decrease time. steady() function set reproductive efficiency just right value maintain population level stored species parameter called erepro. model changed maturity curve leads different rate investment reproduction thus needs slightly different reproductive efficiency remain steady state: reproductive efficiency steady state. population deviates steady state, example due change fishing, reproductive efficiency can set change according Beverton-Holt stock-recruitment curve. discuss later.","code":"species_params(params)$erepro ## [1] 0.899483 species_params(params_changed_maturity)$erepro ## [1] 1.016333"},{"path":"https://sizespectrum.org/mizer/articles/single_species_size-spectrum_dynamics.html","id":"predation","dir":"Articles","previous_headings":"","what":"Predation","title":"Single-species size-spectrum dynamics","text":"now time discuss important issue predation. predation fish obtains energy needs maintain metabolism, grow invest reproduction. important model predation.","code":""},{"path":"https://sizespectrum.org/mizer/articles/single_species_size-spectrum_dynamics.html","id":"effect-of-prey-availability","dir":"Articles","previous_headings":"Predation","what":"Effect of prey availability","title":"Single-species size-spectrum dynamics","text":"energy income fish comes predation prey. less prey, fish consumes less thus growth rate decrease. Let us investigate artificially removing prey. decrease community spectrum factor 10 size range 1mg 10mg. create new parameter object able keep old one around course quite dramatic intervention, allow us clearly see effect steady-state size distribution species.  expected, lack food resulting slow-growth leads traffic jam: peak biomass density. slow-occurs size factor 100 larger size food reduced. discuss next section. first investigate happens prey abundance increased instead decreased. Plot steady state biomass density model community abundance increased factor 10 size range 1mg 10mg.","code":"params_starved <- params size_range <- w_full(params) > 10^-3 & w_full(params) < 10^-2 initialNResource(params_starved)[size_range] <-    initialNResource(params)[size_range] / 10 params_starved <- steady(params_starved) ## Convergence was achieved in 9 years. ## Warning in setBevertonHolt(params, reproduction_level = old_reproduction_level): The following species require an unrealistic value greater than 1 for `erepro`: Target species plotSpectra(params_starved, power = 2) params_overfed <- params size_range <- w_full(params) > 10^-3 & w_full(params) < 10^-2 initialNResource(params_overfed)[size_range] <-    initialNResource(params)[size_range] * 10 params_overfed <- steady(params_overfed) ## Convergence was achieved in 7.5 years. plotSpectra(params_overfed, power = 2)"},{"path":"https://sizespectrum.org/mizer/articles/single_species_size-spectrum_dynamics.html","id":"how-predation-is-modelled","dir":"Articles","previous_headings":"Predation","what":"How predation is modelled","title":"Single-species size-spectrum dynamics","text":"easiest case understand predation imagine filter feeding fish, swimming around mouth open. Clearly amount food takes determined four things: density prey water, much volume water fish able filter, depend fast swims well gape size. sizes prey fish able filter water, limited gape size fine gill rakers , fast can digest food. can filter prey faster can digest, start letting prey go uneaten. active hunter situation similar. rate predates depend four things: density prey water volume water fish patrols able seek prey. may depend things like radius vision. detected prey fish able catch, depend mouth size also agility skill well defensive mechanisms prey. fast can digest food. four factors, course already discussing density prey. next section discuss ability filter catch prey particular sizes, model via predation kernel. section discuss search volume following section maximum consumption rate.","code":""},{"path":"https://sizespectrum.org/mizer/articles/single_species_size-spectrum_dynamics.html","id":"the-predation-kernel","dir":"Articles","previous_headings":"Predation","what":"The predation kernel","title":"Single-species size-spectrum dynamics","text":"Fish particularly good catching prey specific range sizes, smaller . encoded size-spectrum model predation kernel. Let us take look predation kernel model. can obtain function getPredKernel(). large three-dimensional array (predator species x predator size x prey size). extract kernel predator size 10g (using remember size class 81) drop = FALSE option prevent R dropping array dimensions. can now plot usual  see predator size 10g likes feed prey factor 100 smaller , also feeds sizes, just reduced preference. preferred predator/prey size ratio determined species parameter beta width feeding kernel, .e., fussy predator regarding prey size, determined species parameter sigma. model values Let us change preferred predator/prey mass ratio 100 1000. usual, first create copy parameter object, make change copy. Let’s make plot see predation kernel indeed changed.  now reduce prey size range 1mg 10mg , now expect produce peak biomass spectrum somewhere 1g 10g. Let’s check.  Yes, expected. details beta sigma parametrise predation kernel, see https://sizespectrum.org/mizer/reference/lognormal_pred_kernel.html#details. information change predation kernel, see https://sizespectrum.org/mizer/reference/setPredKernel.html#setting-predation-kernel important confuse prey preference diet. Just predator might prefer feed prey particular size free choice mean actually feeds predominantly prey. actual diet fish depends also availability prey. smaller prey abundant, realised predator/prey mass ratio diet smaller preferred predator/prey mass ratio. particularly important estimating predation kernel stomach data. Change parameters predation kernel beta = 50 sigma = 2 plot predation kernel predator size 1g. see predation kernel truncated predator never feeds prey larger .  Next, plot steady state arising feeding kernel prey abundance artificially reduced factor 10 size range 1mg 10mg previous examples. observe? surprised?","code":"pred_kernel <- getPredKernel(params) pred_kernel_10 <- pred_kernel[, 81, , drop = FALSE] ggplot(melt(pred_kernel_10)) +   geom_line(aes(x = w_prey, y = value)) +   scale_x_log10() select(species_params(params), beta, sigma) ##                beta sigma ## Target species  100   1.3 params_pk <- params species_params(params_pk)$beta <- 1000 getPredKernel(params_pk)[, 81, , drop = FALSE] %>%    melt() %>%    ggplot() +   geom_line(aes(x = w_prey, y = value)) +   scale_x_log10() initialNResource(params_pk) <- initialNResource(params_starved) params_pk <- steady(params_pk) ## Convergence was achieved in 7.5 years. ## Warning in setBevertonHolt(params, reproduction_level = old_reproduction_level): The following species require an unrealistic value greater than 1 for `erepro`: Target species plotSpectra(params_pk, power = 2) params3 <- params species_params(params3)$beta <- 50 species_params(params3)$sigma <- 2 getPredKernel(params3)[, 61, , drop = FALSE] %>%    melt() %>%    ggplot() +   geom_line(aes(x = w_prey, y = value)) +   scale_x_log10() initialNResource(params3) <- initialNResource(params_starved) params3 <- steady(params3) ## Convergence was achieved in 7.5 years. plotSpectra(params3, power = 2)"},{"path":"https://sizespectrum.org/mizer/articles/single_species_size-spectrum_dynamics.html","id":"search-volume","dir":"Articles","previous_headings":"Predation","what":"Search volume","title":"Single-species size-spectrum dynamics","text":"Next consider factor models volume water filter feeder able filter certain amount time, volume water forage fish able patrol certain amount time. difficult model first principles, although people tried argue terms swimming speeds fish. assume search volume rate also allometric rate. Let \\(\\gamma(w)\\) denote rate predator size \\(w\\). Thus assume \\[\\gamma(w) = \\gamma_0\\ w^q\\] exponent \\(q\\). know fish needs consume prey rate scales body size power \\(p\\), \\(p\\) \\(3/4\\). also know prey density approximately described Sheldon power law, .e., \\(N(w) = N_0\\ w^{-\\lambda}\\). bit maths says \\[q = 2 - \\lambda + n.\\] explains message got created params object certain choice \\(\\lambda\\): mizer chose search volume exponent automatically according formula. real world, evolution made sure fish developed feeding strategy allows cover metabolic costs, thus leads search volume exponent \\(q\\). Clearly, filter feeders taken different route forage fish, result . Let us see effect changing coefficient \\(\\gamma_0\\) search volume rate . current value model change 2000 find new steady state. can see effect growth curve species. original model looks follows:  modified model looks like  effect change growth rate slope juvenile spectrum? steeper shallower? Make plot spectrum see. juvenile spectrum steeper slope \\(-\\mu_0/g_0 - p\\) smaller growth rate coefficient \\(g_0\\) negative.","code":"species_params(params)$gamma ## [1] 2066.004 params_new_gamma <- params species_params(params_new_gamma)$gamma <- 2000 params_new_gamma <- steady(params_new_gamma) ## Warning in setBevertonHolt(params, reproduction_level = old_reproduction_level): The following species require an unrealistic value greater than 1 for `erepro`: Target species plotGrowthCurves(params) plotGrowthCurves(params_new_gamma) nf <- melt(initialN(params)) nf_new_gamma <- melt(initialN(params_new_gamma)) nf$type <- \"original\" nf_new_gamma$type <- \"changed\" nf_combined <- rbind(nf, nf_new_gamma) ggplot(nf_combined) +   geom_line(aes(x = w, y = value, colour = type)) +   scale_x_log10() +   scale_y_log10() +   labs(x = \"Weight [g]\",        y = \"Number density [1/g]\")"},{"path":"https://sizespectrum.org/mizer/articles/single_species_size-spectrum_dynamics.html","id":"feeding-level","dir":"Articles","previous_headings":"Predation","what":"Feeding level","title":"Single-species size-spectrum dynamics","text":"predator maximum intake rate. simply able utilise food faster rate maximum intake rate. course practice feed maximum intake rate limited availability prey. describe feeding level proportion maximum intake rate predator actually taking prey. simple model feeding level constant.  model reduced search volume feeding level lower  model taking allometric form maximum intake rate \\(h(w)\\) function predator size \\(w\\): \\(h(w) = h\\ w^n\\). current value coefficient \\(h\\) ","code":"plotFeedingLevel(params) plotFeedingLevel(params_new_gamma) species_params(params)$h ## [1] 30"},{"path":[]},{"path":"https://sizespectrum.org/mizer/articles/single_species_size-spectrum_dynamics.html","id":"predation-mortality","dir":"Articles","previous_headings":"Mortality","what":"Predation mortality","title":"Single-species size-spectrum dynamics","text":"course growth predator one aspect predation. death prey. Growth mortality coupled. Increased growth one class individuals necessitate increased death another. free lunch. specified predation parameters, parameters determine growth predators also mortality rate prey. don’t introduce new parameters death predation.","code":""},{"path":"https://sizespectrum.org/mizer/articles/single_species_size-spectrum_dynamics.html","id":"external-mortality","dir":"Articles","previous_headings":"Mortality","what":"External mortality","title":"Single-species size-spectrum dynamics","text":"addition mortality caused predation fish, mortality causes. predation animals included model, like sea birds mammals, death old age (senescent death) disease. Mizer allows setting background death setExtMort().","code":""},{"path":"https://sizespectrum.org/mizer/articles/single_species_size-spectrum_dynamics.html","id":"fishing-mortality","dir":"Articles","previous_headings":"Mortality","what":"Fishing mortality","title":"Single-species size-spectrum dynamics","text":"cause mortality control mortality fishing. can see fishing set mizer https://sizespectrum.org/mizer/reference/setFishing.html#setting-fishing. look simple example: introduce fishing species fish 30 grams. fish greater 30 grams exposed fishing mortality. call kind fishing selectivity “knife_edge” selectivity. Mizer can deal general selectivity curves, like sigmoidal doubly sigmoidal. also need specify fishing effort can plot resulting fishing mortality.","code":"params_fishing <- params species_params(params_fishing)$sel_func <- \"knife_edge\" species_params(params_fishing)$knife_edge_size <- 30 params_fishing <- setFishing(params_fishing, initial_effort = 1) plotFMort(params_fishing)"},{"path":[]},{"path":"https://sizespectrum.org/mizer/articles/single_species_size-spectrum_dynamics.html","id":"outlook","dir":"Articles","previous_headings":"","what":"Outlook","title":"Single-species size-spectrum dynamics","text":"fish species studied unlimited food constant mortality. course unrealistic. reality, food become scarce fish population increases much. Also number predators grow. lead interesting important non-linear effects study next tutorial.","code":""},{"path":"https://sizespectrum.org/mizer/articles/trait_model.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"The Trait-Based Model","text":"trait-based size spectrum model can derived simplification general model outline model description section. complicated community model significant difference two community model aggregates species single spectrum, trait-based model resolves many species. trait-based model maximum size considered important trait characterizing species. species-specific parameters, \\(\\beta\\) \\(\\sigma\\), species. model parameters determined maximum size. example, weight maturation fixed fraction maximum size. maximum sizes species spread evenly logarithmic scale. number species important affect general dynamics model.","code":""},{"path":"https://sizespectrum.org/mizer/articles/trait_model.html","id":"sec:set_up_trait_model","dir":"Articles","previous_headings":"","what":"Setting up a trait-based model","title":"The Trait-Based Model","text":"help set trait-based model, wrapper function, newTraitParams(). Like newCommunityParams() function described section community model, function can take many arguments. default values don’t need worry moment. See help page newTraitParams() details. One key differences community type model trait-based model reproduction egg production considered. community model, reproduction constant relationship abundance community egg production. trait-based model, egg production dependent mature individuals investing part energy income reproduction. relationship energy invested reproduction actual rate egg production modelled using Beverton-Holt type function (default mizer, see section density-dependence reproduction) reproduction rate \\(R_i\\) (numbers per time) approaches maximum energy invested increases. set model 10 species, maximum sizes ranging 10 g 100 kg. parameters default values. function returns object type MizerParams holds model information, including species parameters. object can therefore interrogated way described section community model. summary shows us now 10 species model, maximum sizes ranging \\(8.9125094\\) \\(10^{5}\\). rather strange-looking values sizes due fact size classes equally spaced logarithmic scale. size maturity (w_mat) linearly related maximum size. species preferred predator-prey mass ratio parameter values (beta sigma, see section predator/prey mass ratio). \\(161\\) size bins community \\(301\\) size bins including resource spectrum. Ignore summary section fishing gear moment. explained later.","code":"params <- newTraitParams(no_sp = 10, min_w_max = 10, max_w_max = 1e5) summary(params) ## An object of class \"MizerParams\"  ## Consumer size spectrum: ##  minimum size:   0.001 ##  maximum size:   1e+05 ##  no. size bins:  161 ## Resource size spectrum: ##  minimum size:   1e-10 ##  maximum size:   2.23872 ##  no. size bins:  208 (301 size bins in total) ## Species details: ##    species        w_max        w_mat w_min  f0   fc beta sigma ## 1        1 8.912509e+00     2.511886 0.001 0.6 0.25  100   1.3 ## 2        2 2.511886e+01     7.079458 0.001 0.6 0.25  100   1.3 ## 3        3 7.079458e+01    19.952623 0.001 0.6 0.25  100   1.3 ## 4        4 1.995262e+02    56.234133 0.001 0.6 0.25  100   1.3 ## 5        5 5.623413e+02   158.489319 0.001 0.6 0.25  100   1.3 ## 6        6 1.584893e+03   446.683592 0.001 0.6 0.25  100   1.3 ## 7        7 4.466836e+03  1258.925412 0.001 0.6 0.25  100   1.3 ## 8        8 1.258925e+04  3548.133892 0.001 0.6 0.25  100   1.3 ## 9        9 3.548134e+04 10000.000000 0.001 0.6 0.25  100   1.3 ## 10      10 1.000000e+05 28183.829313 0.001 0.6 0.25  100   1.3 ##  ## Fishing gear details: ## Gear          Effort  Target species  ##  ---------------------------------- ## knife_edge_gear 0.00   1, 2, 3, 4, 5, 6, 7, 8, 9, 10"},{"path":"https://sizespectrum.org/mizer/articles/trait_model.html","id":"sec:running_trait_model","dir":"Articles","previous_headings":"","what":"Running the trait-based model","title":"The Trait-Based Model","text":"community model, can project trait-based model time using project() function. project model 75 years without fishing (effort argument set 0). use default initial population abundances need pass initial population values (see section setting initial abundances). results MizerSim object contains abundances community resource spectra time, well original MizerParams object. community model, can get quick overview results simulation calling plot() method:  summary plot panels one generated community model, can see species community plotted. panels show situation final time step simulation, apart biomass time plot. trait-based model species fully interact , predation mortality feeding level size species. simulation turned fishing fishing mortality 0. size-spectra show abundances size evenly spaced log maximum size.","code":"sim <- project(params, t_max = 75, effort = 0) plot(sim)"},{"path":"https://sizespectrum.org/mizer/articles/trait_model.html","id":"sec:trophic_cascade_trait_model","dir":"Articles","previous_headings":"","what":"Example of a trophic cascade with the trait-based model","title":"The Trait-Based Model","text":"community model, possible use trait-based model simulate trophic cascade. , perform two simulations, one fishing one without. therefore need consider fishing gears selectivity set newTraitParams() function. default fishing selectivity function knife-edge function, selects individuals larger 1000 g. also one fishing gear operation, selects species. can see call summary() method params argument set . bottom summary section Fishing gear details. can see one gear, called knife_edge_gear selects species 1 10. control size individuals selected knife_edge_size argument newTraitParams() function. default value 1000 g. mizer possible include one fishing gear model different species caught different gears. ignore now, explore introduce industrial fishery trait-based model. set trait-based model fishing set MizerParams object exactly way knife_edge_size argument explicitly passed clarity: First perform simulation without fishing way setting effort argument 0: Now simulate fishing. , use effort 0.75. mentioned section trophic cascades community model, fishing mortality species calculated product effort, catchability selectivity (see section fishing gears details). Selectivity ranges 0 (selected) 1 (fully selected). default value catchability 1. Therefore, simulation fishing mortality fully selected individual simply equal effort. effort constant throughout duration simulation (however, mizer allow variable effort). , can plot summary fished community using default plot() function. knife-edge selectivity 1000 g can clearly seen fishing mortality panel:  trophic cascade can explored comparing total abundances species size community fished unfished. mentioned , obtain abundances N(sim), returns three dimensional array dimensions time x species x size. 76 time steps (75 simulation plus one stores initial population), 10 species 100 sizes: community model, interested relative total abundances size final time step use finalN() function. gives us matrix one row per species one column per size bin. sum column get vector total abundance per size bin: can use vectors calculate relative abundances: can plotted using commands :  impact fishing species larger 1000 g can clearly seen. fishing pressure lowers abundance large fish (\\(> 1000\\) g). relieves predation pressure smaller prey (preferred predator-prey size ratio given \\(\\beta\\) parameter, set 100 default), leading increase abundance. turn increases predation mortality smaller prey, reduces abundance . impact can also seen looking predation mortality size. predation mortalities retrieved using getPredMort() function. mentioned , trait based model predation mortality size species. Therefore look predation mortality first species. predation mortalities can plotted. Predation mortalities unfished (dashed line) fished (solid line) trait-based model.","code":"params_knife <- newTraitParams(no_sp = 10, min_w_max = 10, max_w_max = 1e5,     knife_edge_size = 1000) sim0 <- project(params_knife, effort = 0, t_max = 75) sim1 <- project(params_knife, effort = 0.75, t_max = 75) plot(sim1) dim(N(sim0)) ## [1]  76  10 161 total_abund0 <- colSums(finalN(sim0)) total_abund1 <- colSums(finalN(sim1)) relative_abundance <- total_abund1 / total_abund0 plot(x = w(params), y = relative_abundance, log = \"xy\", type = \"n\",       xlab = \"Size (g)\", ylab = \"Relative abundance\", ylim = c(0.1, 10)) lines(x = w(params), y = relative_abundance) lines(x = c(min(w(params)), max(w(params))), y = c(1, 1), lty = 2) m2_no_fishing <- getPredMort(params, finalN(sim0))[1, ] m2_with_fishing <- getPredMort(params, finalN(sim1))[1, ] plot(x = w(params), y = m2_with_fishing, log = \"x\", type = \"n\",       xlab = \"Size [g]\", ylab = \"Predation Mortality [1/year]\") lines(x = w(params), y = m2_no_fishing, lty = 2) lines(x = w(params), y = m2_with_fishing)"},{"path":"https://sizespectrum.org/mizer/articles/trait_model.html","id":"sec:trait_additional_gear","dir":"Articles","previous_headings":"","what":"Setting up an industrial fishing gear","title":"The Trait-Based Model","text":"section want operate industrial fishery. Industrial fishing targets small zooplanktivorous species typically used fishmeal production. previous simulations one fishing gear targeted species community. gear knife-edge selectivity selected species larger 1 kg. can see look gear parameters expand model include multiple fishing gears. requires us look closely fishing gears handled mizer. mizer possible fishing gear catch subset species model. useful running simulation project() can specify effort per gear can turn gears want. gear selectivity curve species. set model include two fishing gears: industrial gear catches species maximum size less equal 500g, second gear, , catches everything else. position knife-edge gears occur 0.05 x maximum size .e. selectivity parameters different species depend maximum size. need change gear_params data frame. want keep original model, first make copy making modifications. start need know maximum sizes species model can determine knife-edge positions species. stored w_max column species_params data frame inside params object. can use maximum sizes set vector knife edge sizes 0.05 times maximum size: Now want assign species either industrial gear. check just happened let us look new gear parameter data frame: created MizerParams object multiple gears, can now turn attention running projection multiple gears. previous examples calling project() specified fishing effort effort argument using single value. fixes fishing effort gears model, time steps. can multi-gear parameter object: plotting can see fishing mortality species now different selectivity pattern, position selectivity knife-edge given maximum size species.  industrial fishery said wanted species maximum size 500 g less fished. several ways specifying effort argument project() . specified single value used gears, time steps. also possible specify separate effort gear used time steps. pass effort named vector. set effort Industrial gear 0.75, effort gear 0 (effectively turning ). Now can see Industrial gear operating fishing mortality species larger 500 g 0.","code":"gear_params(params) ##                                gear species   sel_func knife_edge_size ## 1, knife_edge_gear  knife_edge_gear       1 knife_edge            1000 ## 2, knife_edge_gear  knife_edge_gear       2 knife_edge            1000 ## 3, knife_edge_gear  knife_edge_gear       3 knife_edge            1000 ## 4, knife_edge_gear  knife_edge_gear       4 knife_edge            1000 ## 5, knife_edge_gear  knife_edge_gear       5 knife_edge            1000 ## 6, knife_edge_gear  knife_edge_gear       6 knife_edge            1000 ## 7, knife_edge_gear  knife_edge_gear       7 knife_edge            1000 ## 8, knife_edge_gear  knife_edge_gear       8 knife_edge            1000 ## 9, knife_edge_gear  knife_edge_gear       9 knife_edge            1000 ## 10, knife_edge_gear knife_edge_gear      10 knife_edge            1000 ##                     catchability ## 1, knife_edge_gear             1 ## 2, knife_edge_gear             1 ## 3, knife_edge_gear             1 ## 4, knife_edge_gear             1 ## 5, knife_edge_gear             1 ## 6, knife_edge_gear             1 ## 7, knife_edge_gear             1 ## 8, knife_edge_gear             1 ## 9, knife_edge_gear             1 ## 10, knife_edge_gear            1 params_multi_gear <- params gear_params(params_multi_gear)$knife_edge_size <-    species_params(params)$w_max * 0.05 no_sp <- 10 gear <- rep(\"Industrial\", no_sp) gear[species_params(params)$w_max > 500] <- \"Other\" gear_params(params_multi_gear)$gear <- gear gear_params(params_multi_gear) ##                     gear species   sel_func knife_edge_size catchability ## 1, Industrial Industrial       1 knife_edge       0.4456255            1 ## 2, Industrial Industrial       2 knife_edge       1.2559432            1 ## 3, Industrial Industrial       3 knife_edge       3.5397289            1 ## 4, Industrial Industrial       4 knife_edge       9.9763116            1 ## 5, Other           Other       5 knife_edge      28.1170663            1 ## 6, Other           Other       6 knife_edge      79.2446596            1 ## 7, Other           Other       7 knife_edge     223.3417961            1 ## 8, Other           Other       8 knife_edge     629.4627059            1 ## 9, Other           Other       9 knife_edge    1774.0669462            1 ## 10, Other          Other      10 knife_edge    5000.0000000            1 sim_multi_gear <- project(params_multi_gear, t_max = 75, effort = 0.5) plot(sim_multi_gear) sim_multi_gear <- project(params_multi_gear, t_max = 75,     effort = c(Industrial = 0.75, Other = 0)) plot(sim_multi_gear)"},{"path":"https://sizespectrum.org/mizer/articles/trait_model.html","id":"the-impact-of-industrial-fishing","dir":"Articles","previous_headings":"","what":"The impact of industrial fishing","title":"The Trait-Based Model","text":"previous section set ran model industrial fishery operating selected smaller species. can now answer question: impact fishery? can compare abundances fished (sim_industrial1) unfished (sim_industrial0) cases: plot relative abundances:  shows another trophic cascade, although time one driven fishing species midrange part spectrum, largest individuals . trophic cascade acts directions. cascade upwards driven lack food predators leading smaller realised maximum sizes. cascade downwards mechanism fishing large fish, combination predation mortality food limitation. next section explains setup general multispecies model.","code":"sim_industrial0 <- project(params_multi_gear, t_max = 75, effort = 0) sim_industrial1 <- project(params_multi_gear, t_max = 75,     effort = c(Industrial = 0.75, Other = 0)) total_abund0 <- apply(finalN(sim_industrial0), 2, sum) total_abund1 <- apply(finalN(sim_industrial1), 2, sum) relative_abundance <- total_abund1 / total_abund0 plot(x = w(params), y = relative_abundance, log = \"xy\", type = \"n\",       xlab = \"Size [g]\", ylab = \"Relative abundance\", ylim = c(0.1, 10)) lines(x = w(params), y = relative_abundance) lines(x = c(min(w(params)), max(w(params))), y = c(1, 1), lty = 2)"},{"path":"https://sizespectrum.org/mizer/articles/working_with_git.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"Working with git and GitHub","text":"initially takes bit effort get hang works. Therefore take little exercise see create feature branch, make change mizer file, commit file push GitHub, make pull request contribute change back core mizer code. change making consists adding name list people set fork mizer. assume set working environment checked mizer fork local computer described section Setting working environment mizer developer guide. yet read section, please now follow instructions continuing tutorial.","code":""},{"path":"https://sizespectrum.org/mizer/articles/working_with_git.html","id":"creating-a-branch","dir":"Articles","previous_headings":"","what":"Creating a branch","title":"Working with git and GitHub","text":"Initially “master” branch repository. code branch repository perfect copy code master branch main mizer repository https://github.com/sizespectrum/mizer. always keep way commit changes branch. development work branches branched master branch. start working feature bug fix, start new branch name suggestive feature fix. example, adding info list people set fork mizer, let’s call branch “add_my_info”. dialog box enter name new branch: “add_my_info”. Leave remote “origin” make sure “Sync branch remote” checkbox ticked. means new branch created local repository also GitHub repository. Click “Create”. now new branch repository, far branch contains exactly content master branch branched .","code":""},{"path":"https://sizespectrum.org/mizer/articles/working_with_git.html","id":"editing-a-file","dir":"Articles","previous_headings":"","what":"Editing a file","title":"Working with git and GitHub","text":"Next make edit file. “Files” tab RStudio, navigate “vignette” subdirectory click name “developer_vignette.Rmd”. open file Source editor pane. file source file developer guide, written R Markdown format. find subheading “People mizer fork” towards bottom outline. Clicking move corresponding section file. can now add another bullet point name interests. R Markdown file, can compile clicking “Knit” button editor toolbar. also save changes disk. short resulting html file displayed RStudio viewer allow check formatting bullet point. made changes actual R code mizer, course also rebuild mizer new code clicking “Install Restart” “Build” pane RStudio test , particular run automated unit tests hitting Ctrl+Shift+T.","code":""},{"path":"https://sizespectrum.org/mizer/articles/working_with_git.html","id":"committing-your-changes","dir":"Articles","previous_headings":"","what":"Committing your changes","title":"Working with git and GitHub","text":"blue M left file vignettes/developer_vignette.Rmd indicates file modified hard disc. files question mark files project directory part repository. now tick file want commit repository. screenshot file vignettes/developer_vignette.Rmd already selected consequence, lower half pop-window shows modifications made file. see additions green. top right pop-window enter commit message allow others later understand purpose commit. really useful put meaningful message . first time make commit new branch, may want write extended commit message explains new branch . happy everything, hit “Commit” button. Now changes forever saved history local repository.","code":""},{"path":"https://sizespectrum.org/mizer/articles/working_with_git.html","id":"pushing-and-pulling","dir":"Articles","previous_headings":"","what":"Pushing and pulling","title":"Working with git and GitHub","text":"far committed changes local repository computer. changes yet synchronised repository GitHub. , click “Push” button toolbar “Git” pane, one looks like arrow. window pop confirm push worked alright. can close window. may several computers work can local repository every one . scenario, may pushed changes onto GitHub repository another computer. able push new changes current computer pulled changes onto current computer. hitting “Pull” button looks like arrow right next “Push” button. incorporate changes GitHub local repository generally go smoothly. case edited lines file different machines can run conflicts git can resolve automatically. order avoid conflicts, pull push frequently.","code":""},{"path":"https://sizespectrum.org/mizer/articles/working_with_git.html","id":"making-a-pull-request","dir":"Articles","previous_headings":"","what":"Making a pull request","title":"Working with git and GitHub","text":"feature developed tested, want merge master branch upstream repository https://github.com/sizespectrum/mizer. can however push changes directly repository. Instead create GitHub pull request. get code review another mizer developer one developers write access main repository merges changes. Due extra code review changes integrated core mizer code, hesitant making pull requests. case anything wrong changes, get friendly feedback developers. can make changes commit branch pull request automatically get updated. pull request easy create using GitHub web interface: Go home page forked repository GitHub Select branch via “Branch” drop-. Click “New pull request” button next drop-. Go ahead create pull request “add_my_info” branch. pull request reviewed accepted developer changes thus merged upstream master branch, can delete development branch. delete button GitHub delete branch (example page listing branches). also need delete branch separately local repository issuing terminal, `add_my_info’ name development branch. addition may want tell local repository remote branch disappeared well: Otherwise stay RStudio’s list remote branches.","code":"git branch -d add_my_info git remote prune origin"},{"path":"https://sizespectrum.org/mizer/articles/working_with_git.html","id":"merging-from-upstream","dir":"Articles","previous_headings":"","what":"Merging from upstream","title":"Working with git and GitHub","text":"pull request, pull request anyone else mizer fork, merged upstream repository, master branch fork longer sync upstream master branch. want merge upstream changes master branch. can use “Terminal” pane RStudio, execute following git commands: , unless locally changed line file someone else changed upstream repository, merging automatic. push merged master branch back GitHub repository “Push” button. get error attempting fetch upstream upstream repository may yet set repository. can check list upstream, execute command try . first time go steps, think never grow like git. lot fuss. circuitous route change make master branch GitHub repository: editor harddrive development branch local repository via Commit local repository GitHub repository via Push GitHub repository main mizer repository via Pull Request main mizer repository local master branch via merge local master branch master branch GitHub repository via Push best system software developers come allow many people collaborate code. may one development branch may working several features time features still waiting pull request merged. case, merging upstream changes master branch, may also want merge master branch development branches. just go development branch ","code":"git fetch upstream git checkout master git merge upstream/master git remote -v git remote add upstream https://github.com/sizespectrum/mizer.git git merge master"},{"path":"https://sizespectrum.org/mizer/articles/working_with_git.html","id":"people-with-a-mizer-fork","dir":"Articles","previous_headings":"","what":"People with a mizer fork","title":"Working with git and GitHub","text":"information people made mizer fork. name list , please add , together bit info interests. make edit commit contribute back explained section Working git. Gustav Delius Maintainer mizer package. Interested building mizer community developing mizer code user-friendly possible time sufficiently flexible extendable new research. Mariella Canales Interested multispecies size-based analysis pelagic fish community Northern Chile.","code":""},{"path":"https://sizespectrum.org/mizer/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Gustav Delius. Maintainer, author, copyright holder. Finlay Scott. Author, copyright holder. Julia Blanchard. Author, copyright holder. Ken Andersen. Author, copyright holder. Richard Southwell. Contributor, copyright holder.","code":""},{"path":"https://sizespectrum.org/mizer/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Delius G, Scott F, Blanchard J, Andersen K (2025). mizer: Dynamic Multi-Species Size Spectrum Modelling. R package version 2.5.4, https://sizespectrum.org/mizer/.","code":"@Manual{,   title = {mizer: Dynamic Multi-Species Size Spectrum Modelling},   author = {Gustav Delius and Finlay Scott and Julia Blanchard and Ken Andersen},   year = {2025},   note = {R package version 2.5.4},   url = {https://sizespectrum.org/mizer/}, }"},{"path":[]},{"path":"https://sizespectrum.org/mizer/copilot-instructions.html","id":"project-overview","dir":"","previous_headings":"","what":"Project Overview","title":"Copilot Instructions for mizer","text":"mizer R package dynamic multi-species size-spectrum modeling fish communities. provides framework modeling marine ecosystems subject fishing, tracking individual fish growth several orders magnitude egg size maximum size, correctly capturing ontogenetic diet shifts.","code":""},{"path":"https://sizespectrum.org/mizer/copilot-instructions.html","id":"package-structure","dir":"","previous_headings":"","what":"Package Structure","title":"Copilot Instructions for mizer","text":"R package following standard CRAN conventions: R/ - R source code files src/ - C++ source code (Rcpp integration) man/ - Documentation files (auto-generated roxygen2) tests/testthat/ - Unit tests using testthat framework vignettes/ - Long-form documentation tutorials data/ - Example datasets inst/ - Additional package files DESCRIPTION - Package metadata dependencies NAMESPACE - Package exports (auto-generated roxygen2)","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/copilot-instructions.html","id":"r-code-style","dir":"","previous_headings":"Code Style and Conventions","what":"R Code Style","title":"Copilot Instructions for mizer","text":"Indentation: Use 4 spaces (tabs) Functions variables: Use camelCase snake_case Classes: Use PascalCase (e.g., MizerParams, MizerSim) Line length: Keep lines reasonably short (hard limit, aim readability) trailing whitespace Documentation: exported functions must roxygen2 documentation","code":""},{"path":"https://sizespectrum.org/mizer/copilot-instructions.html","id":"linting","dir":"","previous_headings":"Code Style and Conventions","what":"Linting","title":"Copilot Instructions for mizer","text":"project uses lintr custom configuration (see .lintr file): - 4-space indentation - Allows camelCase snake_case object names - Commented code trailing whitespace allowed Run linting :","code":"lintr::lint_package()"},{"path":"https://sizespectrum.org/mizer/copilot-instructions.html","id":"documentation","dir":"","previous_headings":"","what":"Documentation","title":"Copilot Instructions for mizer","text":"Use roxygen2 function documentation Document parameters @param Document return values @return Include examples @examples appropriate Export functions explicitly @export Cross-reference related functions @seealso Use Markdown formatting documentation (enabled DESCRIPTION) Example roxygen2 header:","code":"#' Brief description of the function #' #' Detailed description of what the function does. #' #' @param param1 Description of param1 #' @param param2 Description of param2 #' @return Description of what is returned #' @export #' @examples #' # Example usage #' result <- myFunction(param1, param2)"},{"path":"https://sizespectrum.org/mizer/copilot-instructions.html","id":"testing","dir":"","previous_headings":"","what":"Testing","title":"Copilot Instructions for mizer","text":"Use testthat (edition 3) tests Test files tests/testthat/ named test-*.R source file corresponding test file Use descriptive test names test_that(\"description\", { ... }) Use snapshot testing complex outputs appropriate Use expect_doppelganger() test plots vdiffr package Run tests testthat::test_local() devtools::test() Example test structure:","code":"test_that(\"function handles basic input correctly\", {     result <- myFunction(input)     expect_equal(result$value, expected_value)     expect_true(is.numeric(result$number)) })"},{"path":[]},{"path":"https://sizespectrum.org/mizer/copilot-instructions.html","id":"local-development","dir":"","previous_headings":"Building and Checking","what":"Local Development","title":"Copilot Instructions for mizer","text":"","code":"# Load package for development devtools::load_all()  # Run tests devtools::test()  # Check package devtools::check()  # Build documentation devtools::document()"},{"path":"https://sizespectrum.org/mizer/copilot-instructions.html","id":"r-cmd-check","dir":"","previous_headings":"Building and Checking","what":"R CMD check","title":"Copilot Instructions for mizer","text":"package must pass R CMD check without errors warnings:","code":"R CMD build . R CMD check mizer_*.tar.gz"},{"path":[]},{"path":"https://sizespectrum.org/mizer/copilot-instructions.html","id":"mizerparams","dir":"","previous_headings":"Key Classes","what":"MizerParams","title":"Copilot Instructions for mizer","text":"main parameter class containing model configuration: - Species parameters - Interaction matrices - Size bins grids - Rate functions - Gear selectivity","code":""},{"path":"https://sizespectrum.org/mizer/copilot-instructions.html","id":"mizersim","dir":"","previous_headings":"Key Classes","what":"MizerSim","title":"Copilot Instructions for mizer","text":"Simulation results class containing: - Time series size spectra - Fishing effort history - Model parameters used","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/copilot-instructions.html","id":"size-spectrum-model","dir":"","previous_headings":"Important Concepts","what":"Size Spectrum Model","title":"Copilot Instructions for mizer","text":"Models track fish populations across size classes Individual growth driven consumption Mortality includes predation, fishing, background mortality Uses allometric scaling relationships","code":""},{"path":"https://sizespectrum.org/mizer/copilot-instructions.html","id":"rate-functions","dir":"","previous_headings":"Important Concepts","what":"Rate Functions","title":"Copilot Instructions for mizer","text":"Core physiological rates can customized: - encounter() - predation encounter rate - feeding_level() - feeding satiation - getPredRate() - predation mortality rate - getFMort() - fishing mortality - getRDI() - reproduction (density-independent) - getRDD() - reproduction (density-dependent)","code":""},{"path":"https://sizespectrum.org/mizer/copilot-instructions.html","id":"dependencies","dir":"","previous_headings":"","what":"Dependencies","title":"Copilot Instructions for mizer","text":"Key dependencies aware : - Rcpp - C++ integration performance-critical code - deSolve - Differential equation solver - ggplot2 - Plotting (version >= 3.4.0 required) - dplyr - Data manipulation - assertthat - Input validation","code":""},{"path":"https://sizespectrum.org/mizer/copilot-instructions.html","id":"contributing-guidelines","dir":"","previous_headings":"","what":"Contributing Guidelines","title":"Copilot Instructions for mizer","text":"submitting changes: 1. Ensure tests pass: devtools::test() 2. Run R CMD check: devtools::check() 3. Update documentation: devtools::document() 4. Run linting: lintr::lint_package() 5. Update NEWS.md adding features fixing bugs 6. Consider adding examples mizerExamples package new features","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/copilot-instructions.html","id":"adding-a-new-function","dir":"","previous_headings":"Common Tasks","what":"Adding a new function","title":"Copilot Instructions for mizer","text":"Create function appropriate R file Add roxygen2 documentation Export needed @export Add unit tests corresponding test file Run devtools::document() update NAMESPACE man pages Run devtools::check() verify","code":""},{"path":"https://sizespectrum.org/mizer/copilot-instructions.html","id":"modifying-existing-functions","dir":"","previous_headings":"Common Tasks","what":"Modifying existing functions","title":"Copilot Instructions for mizer","text":"Update function code Update roxygen2 documentation needed Ensure existing tests still pass update Add new tests new behavior Consider backward compatibility","code":""},{"path":"https://sizespectrum.org/mizer/copilot-instructions.html","id":"working-with-rcpp-code","dir":"","previous_headings":"Common Tasks","what":"Working with Rcpp code","title":"Copilot Instructions for mizer","text":"C++ source files src/ Use Rcpp::sourceCpp() quick testing RcppExports.R RcppExports.cpp auto-generated Rebuild package C++ changes: devtools::clean_dll(); devtools::load_all()","code":""},{"path":"https://sizespectrum.org/mizer/copilot-instructions.html","id":"references","dir":"","previous_headings":"","what":"References","title":"Copilot Instructions for mizer","text":"Package website: https://sizespectrum.org/mizer/ GitHub repository: https://github.com/sizespectrum/mizer Issue tracker: https://github.com/sizespectrum/mizer/issues Theoretical foundation: “Fish Ecology, Evolution, Exploitation” Ken Andersen","code":""},{"path":"https://sizespectrum.org/mizer/copilot-instructions.html","id":"related-packages","dir":"","previous_headings":"","what":"Related Packages","title":"Copilot Instructions for mizer","text":"mizerExperimental - Experimental features community contributions mizerExamples - Example models use cases","code":""},{"path":"https://sizespectrum.org/mizer/copilot-instructions.html","id":"note-on-british-english","dir":"","previous_headings":"","what":"Note on British English","title":"Copilot Instructions for mizer","text":"package uses British English spelling (en-GB) specified DESCRIPTION. Use British spellings documentation comments (e.g., “colour” “color”, “behaviour” “behavior”).","code":""},{"path":"https://sizespectrum.org/mizer/index.html","id":"installation","dir":"","previous_headings":"","what":"Installation","title":"Multi-Species Dynamic Size Spectrum Modelling in R","text":"package CRAN therefore available R’s built-package manager.","code":"# Install latest released version from CRAN install.packages(\"mizer\")  # Alternatively, install the development version from GitHub remotes::install_github(\"sizespectrum/mizer\")"},{"path":"https://sizespectrum.org/mizer/index.html","id":"example","dir":"","previous_headings":"","what":"Example","title":"Multi-Species Dynamic Size Spectrum Modelling in R","text":"following code loads mizer package, loads information species North Sea comes example package, sets parameters mizer model, runs simulation 10 years. results simulation can analysed, example via plots:  See accompanying Get started page details package works, including detailed examples.","code":"library(mizer) params <- newMultispeciesParams(NS_species_params, NS_interaction) sim <- project(params, t_max = 10, effort = 0) plot(sim)"},{"path":"https://sizespectrum.org/mizer/index.html","id":"dynamic-multi-species-size-spectrum-model","dir":"","previous_headings":"","what":"Dynamic multi-species size-spectrum model","title":"Multi-Species Dynamic Size Spectrum Modelling in R","text":"Size-based multi-species models important fisheries science provide realistic accurate representation dynamics fish populations ecosystems live. contrast traditional single-species models, consider single fish stock isolated unit, size-based multi-species models account fact fish populations part larger ecosystem interact species predation, competition, ecological processes. One key advantages size-based multi-species models provide comprehensive understanding impacts fishing fish populations ecosystems. considering size distribution different fish species, models can capture effects fishing target non-target species, different life stages species. particularly important species caught bycatch indirectly affected fishing changes food web. Another advantage size-based multi-species models can used investigate effects environmental changes perturbations fish populations ecosystems. example, models can used explore impacts climate change distribution abundance fish populations, effects habitat loss pollution fish communities. mizer mechanistic model, can deduce complex population-level changes interested simpler changes physiological rates feeding interactions individual fish species. Overall, size-based multi-species models provide comprehensive realistic framework understanding dynamics fish populations ecosystems, developing effective fisheries management strategies account complex interactions among species environment. mizer model captures interactions species. growth rates fish determined availability prey death rates influenced abundance predators, well fishing. model starts individual-level physiological rates species, well predation preferences, deduces population-level dynamics . Thus quantities like fish diets fisheries yields emerge dynamically can projected future. mizer model tracks size individuals grow several orders magnitude egg size maximum size, correctly tracks ontogenetic diet shifts. individual typically moves several trophic levels life time. often correctly captured multi-species models. mizer model can set small amount information uses allometric scaling relations size-based feeding rules choose sensible defaults unknown parameters. Setting new multi-species mizer model two-step process, similar may familiar Ecopath Ecosim: First one calibrates model describe steady state agreement current observations (Ecopath), one chooses additional parameters determine dynamics away steady state (Ecosim). model can used investigate future effects changes fishing policy environmental stressors.","code":""},{"path":"https://sizespectrum.org/mizer/index.html","id":"a-strong-theoretical-basis","dir":"","previous_headings":"","what":"A strong theoretical basis","title":"Multi-Species Dynamic Size Spectrum Modelling in R","text":"One big advantage mizer model based strong mathematical foundation. allows degree priori understanding behaviour model absent many multi-species models. theoretical foundation well presented book “Fish Ecology, Evolution, Exploitation” Ken Andersen. interesting think marine ecosystem transport system moves biomass size primary producers (mostly unicellular plankton) sizes fish humans like consume. fish grows egg size maturity eating smaller individuals like car biomass highway. yield fisheries depend traffic flowing smoothly without traffic jams. analogy road traffic may helpful: road traffic, traffic density gets high section highway, drivers slow , leads pile-producing even higher traffic density, leading slow-potentially vicious cycle known traffic jam. Traffic management ignores traffic density affects traffic speed fails. Luckily mathematical understanding transport equations made practical contributions managing traffic ways produce smoother traffic flow hence higher throughput. Mizer implements transport equations marine ecosystems. potential traffic jams : example high density predators particular size, preference prey particular smaller size, due competition prey growth predators slows , leading pile-leads depletion prey, leading slow-, potentially vicious cycle. Luckily, natural ecosystem evolved facilitate smooth traffic biomass highway, resultant high productivity. state characterised approximate power-law shape biomass size spectrum. purpose mizer allow us understand various stressors, like fishing climate change, affect size spectrum hence flow biomass productivity resilience marine ecosystem. Mizer allows us investigate size-based fisheries management strategies can used keep ecosystem close natural productive state.","code":""},{"path":"https://sizespectrum.org/mizer/reference/BevertonHoltRDD.html","id":null,"dir":"Reference","previous_headings":"","what":"Beverton Holt function to calculate density-dependent reproduction rate — BevertonHoltRDD","title":"Beverton Holt function to calculate density-dependent reproduction rate — BevertonHoltRDD","text":"Takes density-independent rates \\(R_{di}\\) egg production (calculated getRDI()) returns reduced, density-dependent reproduction rates \\(R_{dd}\\) given $$R_{dd} = R_{di} \\frac{R_{max}}{R_{di} + R_{max}}$$ \\(R_{max}\\) maximum possible reproduction rates must specified column species parameter dataframe. (quantities equation species-specific dropped species index simplicity.)","code":""},{"path":"https://sizespectrum.org/mizer/reference/BevertonHoltRDD.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Beverton Holt function to calculate density-dependent reproduction rate — BevertonHoltRDD","text":"","code":"BevertonHoltRDD(rdi, species_params, ...)"},{"path":"https://sizespectrum.org/mizer/reference/BevertonHoltRDD.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Beverton Holt function to calculate density-dependent reproduction rate — BevertonHoltRDD","text":"rdi Vector density-independent reproduction rates \\(R_{di}\\) species. species_params species parameter dataframe. Must contain column R_max holding maximum reproduction rate \\(R_{max}\\) species. ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/BevertonHoltRDD.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Beverton Holt function to calculate density-dependent reproduction rate — BevertonHoltRDD","text":"Vector density-dependent reproduction rates.","code":""},{"path":"https://sizespectrum.org/mizer/reference/BevertonHoltRDD.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Beverton Holt function to calculate density-dependent reproduction rate — BevertonHoltRDD","text":"one example density-dependence. can write function based example, returning different density-dependent reproduction rates. Three examples provided RickerRDD(), SheperdRDD(), noRDD() constantRDD(). explanation see setReproduction().","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/MizerParams-class.html","id":null,"dir":"Reference","previous_headings":"","what":"A class to hold the parameters for a size based model. — MizerParams-class","title":"A class to hold the parameters for a size based model. — MizerParams-class","text":"Although possible build MizerParams object hand recommended several constructors available. Dynamic simulations performed using project() function objects class. user never need access slots inside MizerParams object directly.","code":""},{"path":"https://sizespectrum.org/mizer/reference/MizerParams-class.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"A class to hold the parameters for a size based model. — MizerParams-class","text":"MizerParams class fairly complex large number slots, many multidimensional arrays. dimensions arrays strictly enforced MizerParams objects consistent terms number species number size classes. MizerParams class hold dynamic information, e.g. abundances harvest effort time. held MizerSim objects.","code":""},{"path":"https://sizespectrum.org/mizer/reference/MizerParams-class.html","id":"slots","dir":"Reference","previous_headings":"","what":"Slots","title":"A class to hold the parameters for a size based model. — MizerParams-class","text":"metadata list metadata information. See setMetadata(). mizer_version package version mizer (returned packageVersion(\"mizer\")) created upgraded model. extensions named vector strings name name extension package needed run model value string giving information remotes package needs install correct version extension package, see https://remotes.r-lib.org/. time_created POSIXct date-time object creation time. time_modified POSIXct date-time object last modified time. w size grid fish part spectrum. increasing vector weights (grams) running smallest egg size largest maximum size. dw widths (grams) size bins w_full size grid full size range including resource spectrum. increasing vector weights (grams) running smallest resource size largest maximum size fish. last entries vector equal content w slot. dw_full width size bins full spectrum. last entries equal content dw slot. w_min_idx vector holding index weight egg size species maturity array (species x size) holds proportion individuals species size mature. enters calculation spawning stock biomass getSSB(). Set setReproduction(). psi array (species x size) holds allocation reproduction species size, \\(\\psi_i(w)\\). Changed setReproduction(). intake_max array (species x size) holds maximum intake species size. Changed setMaxIntakeRate(). search_vol array (species x size) holds search volume species size. Changed setSearchVolume(). metab array (species x size) holds metabolism species size. Changed setMetabolicRate(). mu_b array (species x size) holds external mortality rate \\(\\mu_{ext.}(w)\\). Changed setExtMort(). ext_encounter array (species x size) holds external encounter rate \\(E_{ext.}(w)\\). Changed setExtEncounter(). pred_kernel array (species x predator size x prey size) holds predation coefficient predator size prey size. NA following two slots used. Changed setPredKernel(). ft_pred_kernel_e array (species x log predator/prey size ratio) holds Fourier transform feeding kernel form appropriate evaluating encounter rate integral. NA pred_kernel used calculate available energy integral. Changed setPredKernel(). ft_pred_kernel_p array (species x log predator/prey size ratio) holds Fourier transform feeding kernel form appropriate evaluating predation mortality integral. NA pred_kernel used calculate integral. Changed setPredKernel(). rr_pp vector length w_full slot. size specific growth rate resource spectrum. cc_pp vector length w_full slot. size specific carrying capacity resource spectrum. resource_dynamics Name function projecting resource abundance density one timestep. other_dynamics named list functions projecting values dynamical components ecosystem may modelled mizer extensions installed. names list entries names components. other_encounter named list functions calculating contribution encounter rate dynamical component. other_mort named list functions calculating contribution mortality rate dynamical components. other_params list containing parameters needed mizer extensions may installed model dynamical components ecosystem. rates_funcs named list names functions used calculate rates needed project(). default set names built-rate functions. sc community abundance scaling community species_params data.frame hold species specific parameters. See species_params() details. given_species_params data.frame hold species parameters given explicitly rather obtained default calculations. gear_params Data frame parameters gear selectivity. See setFishing() details. interaction species specific interaction matrix, \\(\\theta_{ij}\\). Changed setInteraction(). selectivity array (gear x species x w) holds selectivity gear species size, \\(S_{g,,w}\\). Changed setFishing(). catchability array (gear x species) holds catchability species gear, \\(Q_{g,}\\). Changed setFishing(). initial_effort vector containing initial fishing effort gear. Changed setFishing(). initial_n array (species x size) holds initial abundance species weight. initial_n_pp vector length w_full slot describes initial resource abundance weight. initial_n_other list initial abundances ecosystem components. length zero components. resource_params List parameters resource. Abundance multipliers. linecolour named vector colour values, named species. Used give consistent colours plots. linetype named vector linetypes, named species. Used give consistent line types plots. ft_mask array (species x w_full) zeros weights larger maximum weight species. Used efficiently minimize wrap-around errors Fourier transform calculations.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/MizerParams.html","id":null,"dir":"Reference","previous_headings":"","what":"Alias for set_multispecies_model() — MizerParams","title":"Alias for set_multispecies_model() — MizerParams","text":"alias provided backward compatibility mizer version <= 1.0","code":""},{"path":"https://sizespectrum.org/mizer/reference/MizerParams.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Alias for set_multispecies_model() — MizerParams","text":"","code":"MizerParams(   species_params,   interaction = matrix(1, nrow = nrow(species_params), ncol = nrow(species_params)),   min_w_pp = 1e-10,   min_w = 0.001,   max_w = NULL,   no_w = 100,   n = 2/3,   q = 0.8,   f0 = 0.6,   kappa = 1e+11,   lambda = 2 + q - n,   r_pp = 10,   ... )"},{"path":"https://sizespectrum.org/mizer/reference/MizerParams.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Alias for set_multispecies_model() — MizerParams","text":"species_params data frame species-specific parameter values. interaction Optional interaction matrix species (predator species x prey species). default entries 1. See \"Setting interaction matrix\" section . min_w_pp smallest size resource spectrum. default set smallest value consumers can feed. min_w Sets size eggs species given w_min column species_params dataframe. max_w largest size consumer spectrum. default set largest w_max specified species_params data frame. no_w number size bins consumer spectrum. n allometric growth exponent. can overruled individual species including n column species_params. q Allometric exponent search volume f0 Expected average feeding level. Used set gamma, coefficient search rate. Ignored gamma given explicitly. kappa coefficient initial resource abundance power-law. lambda Used set power-law exponent resource capacity resource_capacity argument given single number. r_pp . Use resource_rate argument instead. ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/MizerParams.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Alias for set_multispecies_model() — MizerParams","text":"MizerParams object","code":""},{"path":"https://sizespectrum.org/mizer/reference/MizerSim-class.html","id":null,"dir":"Reference","previous_headings":"","what":"A class to hold the results of a simulation — MizerSim-class","title":"A class to hold the results of a simulation — MizerSim-class","text":"class holds results projecting MizerParams object time using project().","code":""},{"path":"https://sizespectrum.org/mizer/reference/MizerSim-class.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"A class to hold the results of a simulation — MizerSim-class","text":"new MizerSim object can created MizerSim() constructor, never object created automatically project() needed. user never access slots MizerSim object directly. Instead range functions extract information. N() NResource() return arrays saved abundances species resource population size respectively. getEffort() returns fishing effort gear time. getTimes() returns vector times simulation results stored idxFinalT() returns index access specifically value final time arrays returned functions. getParams() returns MizerParams object passed project(). also several summary_functions plotting_functions available explore contents MizerSim object. arrays named dimensions. names time dimension denote time years. names w dimension weights grams rounded three significant figures. names sp dimension species name order specified species_params data frame. names gear dimension names gears, order specified setting MizerParams object. Extensions mizer can use n_other slot store abundances ecosystem components extensions provide functions accessing information. MizerSim class changed since previous versions mizer. use MizerSim object created previous version, need upgrade upgradeSim().","code":""},{"path":"https://sizespectrum.org/mizer/reference/MizerSim-class.html","id":"slots","dir":"Reference","previous_headings":"","what":"Slots","title":"A class to hold the results of a simulation — MizerSim-class","text":"params object type MizerParams. n Three-dimensional array (time x species x size) stores projected community number densities. n_pp array (time x size) stores projected resource number densities. n_other list array (time x component) stores projected values ecosystem components. effort array (time x gear) stores fishing effort time gear.","code":""},{"path":"https://sizespectrum.org/mizer/reference/MizerSim.html","id":null,"dir":"Reference","previous_headings":"","what":"Constructor for the MizerSim class — MizerSim","title":"Constructor for the MizerSim class — MizerSim","text":"constructor MizerSim class. used project() create MizerSim objects right dimensions. necessary users use constructor.","code":""},{"path":"https://sizespectrum.org/mizer/reference/MizerSim.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Constructor for the MizerSim class — MizerSim","text":"","code":"MizerSim(params, t_dimnames = NA, t_max = 100, t_save = 1)"},{"path":"https://sizespectrum.org/mizer/reference/MizerSim.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Constructor for the MizerSim class — MizerSim","text":"params MizerParams object t_dimnames Numeric vector used time dimensions slots. Default = NA. t_max maximum time step simulation. used t_dimnames = NA. Default value = 100. t_save often results simulation stored. used t_dimnames = NA. Default value = 1.","code":""},{"path":"https://sizespectrum.org/mizer/reference/MizerSim.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Constructor for the MizerSim class — MizerSim","text":"object type MizerSim","code":""},{"path":"https://sizespectrum.org/mizer/reference/N.html","id":null,"dir":"Reference","previous_headings":"","what":"Time series of size spectra — N","title":"Time series of size spectra — N","text":"Fetch simulation results size spectra time.","code":""},{"path":"https://sizespectrum.org/mizer/reference/N.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Time series of size spectra — N","text":"","code":"N(sim)  NResource(sim)"},{"path":"https://sizespectrum.org/mizer/reference/N.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Time series of size spectra — N","text":"sim MizerSim object","code":""},{"path":"https://sizespectrum.org/mizer/reference/N.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Time series of size spectra — N","text":"N(): three-dimensional array (time x species x size) number density consumers NResource(): array (time x size) number density resource","code":""},{"path":"https://sizespectrum.org/mizer/reference/N.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Time series of size spectra — N","text":"","code":"str(N(NS_sim)) #>  num [1:44, 1:12, 1:100] 1.67e+13 1.67e+13 1.69e+13 1.66e+13 1.65e+13 ... #>  - attr(*, \"dimnames\")=List of 3 #>   ..$ time: chr [1:44] \"1967\" \"1968\" \"1969\" \"1970\" ... #>   ..$ sp  : chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   ..$ w   : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... str(NResource(NS_sim)) #>  num [1:44, 1:218] 4.88e+35 4.88e+35 4.88e+35 4.88e+35 4.88e+35 ... #>  - attr(*, \"dimnames\")=List of 2 #>   ..$ time: chr [1:44] \"1967\" \"1968\" \"1969\" \"1970\" ... #>   ..$ w   : chr [1:218] \"8.73e-13\" \"1.04e-12\" \"1.24e-12\" \"1.48e-12\" ..."},{"path":"https://sizespectrum.org/mizer/reference/NOther.html","id":null,"dir":"Reference","previous_headings":"","what":"Time series of other components — NOther","title":"Time series of other components — NOther","text":"Fetch simulation results components time.","code":""},{"path":"https://sizespectrum.org/mizer/reference/NOther.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Time series of other components — NOther","text":"","code":"NOther(sim)"},{"path":"https://sizespectrum.org/mizer/reference/NOther.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Time series of other components — NOther","text":"sim MizerSim object","code":""},{"path":"https://sizespectrum.org/mizer/reference/NOther.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Time series of other components — NOther","text":"list array (time x component) stores projected values ecosystem components.","code":""},{"path":"https://sizespectrum.org/mizer/reference/NS_interaction.html","id":null,"dir":"Reference","previous_headings":"","what":"Example interaction matrix for the North Sea example — NS_interaction","title":"Example interaction matrix for the North Sea example — NS_interaction","text":"interaction coefficient predator prey species North Sea.","code":""},{"path":"https://sizespectrum.org/mizer/reference/NS_interaction.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Example interaction matrix for the North Sea example — NS_interaction","text":"","code":"NS_interaction"},{"path":"https://sizespectrum.org/mizer/reference/NS_interaction.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Example interaction matrix for the North Sea example — NS_interaction","text":"12 x 12 matrix.","code":""},{"path":"https://sizespectrum.org/mizer/reference/NS_interaction.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Example interaction matrix for the North Sea example — NS_interaction","text":"Blanchard et al.","code":""},{"path":"https://sizespectrum.org/mizer/reference/NS_interaction.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Example interaction matrix for the North Sea example — NS_interaction","text":"","code":"params <- MizerParams(NS_species_params_gears,                       interaction = NS_interaction) #> Warning: `set_multispecies_model()` was deprecated in mizer 2.0.0. #> ℹ Please use `newMultispeciesParams()` instead. #> Note: No sel_func column in species data frame. Setting selectivity to be 'knife_edge' for all species. #> Note: No knife_edge_size column in species data frame. Setting knife edge selectivity equal to w_mat. #> Note: No h column in species data frame so using f0 and k_vb to calculate it. #> Note: No gamma column in species data frame so using f0, h, beta, sigma, lambda and kappa to calculate it. #> Note: No ks column in species data frame so using ks = h * 0.2. #> Note: No m column in species data frame so using m = 1. #> Using z0 = z0pre * w_max ^ z0exp for missing z0 values."},{"path":"https://sizespectrum.org/mizer/reference/NS_params.html","id":null,"dir":"Reference","previous_headings":"","what":"Example MizerParams object for the North Sea example — NS_params","title":"Example MizerParams object for the North Sea example — NS_params","text":"MizerParams object created NS_species_params_gears species parameters inter interaction matrix together initial condition corresponding steady state obtained fishing effort effort = c(Industrial = 0, Pelagic = 1, Beam = 0.5, Otter = 0.5).","code":""},{"path":"https://sizespectrum.org/mizer/reference/NS_params.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Example MizerParams object for the North Sea example — NS_params","text":"","code":"NS_params"},{"path":"https://sizespectrum.org/mizer/reference/NS_params.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Example MizerParams object for the North Sea example — NS_params","text":"MizerParams object","code":""},{"path":"https://sizespectrum.org/mizer/reference/NS_params.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Example MizerParams object for the North Sea example — NS_params","text":"Blanchard et al.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/NS_params.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Example MizerParams object for the North Sea example — NS_params","text":"","code":"# \\donttest{ sim = project(NS_params, effort = c(Industrial = 0, Pelagic = 1,                                      Beam = 0.5, Otter = 0.5)) plot(sim)  # }"},{"path":"https://sizespectrum.org/mizer/reference/NS_sim.html","id":null,"dir":"Reference","previous_headings":"","what":"Example MizerSim object for the North Sea example — NS_sim","title":"Example MizerSim object for the North Sea example — NS_sim","text":"MizerSim object containing simulation historical fishing mortalities North Sea, created tutorial \"Multi-Species Model North Sea\".","code":""},{"path":"https://sizespectrum.org/mizer/reference/NS_sim.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Example MizerSim object for the North Sea example — NS_sim","text":"","code":"NS_sim"},{"path":"https://sizespectrum.org/mizer/reference/NS_sim.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Example MizerSim object for the North Sea example — NS_sim","text":"MizerSim object","code":""},{"path":"https://sizespectrum.org/mizer/reference/NS_sim.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Example MizerSim object for the North Sea example — NS_sim","text":"https://sizespectrum.org/mizer/articles/a_multispecies_model_of_the_north_sea.html","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/NS_sim.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Example MizerSim object for the North Sea example — NS_sim","text":"","code":"plotBiomass(NS_sim)"},{"path":"https://sizespectrum.org/mizer/reference/NS_species_params.html","id":null,"dir":"Reference","previous_headings":"","what":"Example species parameter set based on the North Sea — NS_species_params","title":"Example species parameter set based on the North Sea — NS_species_params","text":"data set based species North Sea (Blanchard et al.). data.frame contains necessary information used MizerParams() constructor. gear column, species assumed fished separate gear.","code":""},{"path":"https://sizespectrum.org/mizer/reference/NS_species_params.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Example species parameter set based on the North Sea — NS_species_params","text":"","code":"NS_species_params"},{"path":"https://sizespectrum.org/mizer/reference/NS_species_params.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Example species parameter set based on the North Sea — NS_species_params","text":"data frame 12 rows 7 columns. row species. species Name species w_max Maximum size. w_mat Size maturity beta Size preference ratio sigma Width size-preference R_max Maximum reproduction rate k_vb von Bertalanffy k parameter w_inf von Bertalanffy asymptotic size","code":""},{"path":"https://sizespectrum.org/mizer/reference/NS_species_params.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Example species parameter set based on the North Sea — NS_species_params","text":"Blanchard et al.","code":""},{"path":"https://sizespectrum.org/mizer/reference/NS_species_params.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Example species parameter set based on the North Sea — NS_species_params","text":"","code":"params <- MizerParams(NS_species_params) #> Note: No sel_func column in species data frame. Setting selectivity to be 'knife_edge' for all species. #> Note: No knife_edge_size column in species data frame. Setting knife edge selectivity equal to w_mat. #> Note: No h column in species data frame so using f0 and k_vb to calculate it. #> Note: No gamma column in species data frame so using f0, h, beta, sigma, lambda and kappa to calculate it. #> Note: No ks column in species data frame so using ks = h * 0.2. #> Note: No m column in species data frame so using m = 1. #> Using z0 = z0pre * w_max ^ z0exp for missing z0 values."},{"path":"https://sizespectrum.org/mizer/reference/NS_species_params_gears.html","id":null,"dir":"Reference","previous_headings":"","what":"Example species parameter set based on the North Sea with different gears — NS_species_params_gears","title":"Example species parameter set based on the North Sea with different gears — NS_species_params_gears","text":"data set based species North Sea (Blanchard et al.). similar data set NS_species_params except one additional column specifying fishing gear operates species.","code":""},{"path":"https://sizespectrum.org/mizer/reference/NS_species_params_gears.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Example species parameter set based on the North Sea with different gears — NS_species_params_gears","text":"","code":"NS_species_params_gears"},{"path":"https://sizespectrum.org/mizer/reference/NS_species_params_gears.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Example species parameter set based on the North Sea with different gears — NS_species_params_gears","text":"data frame 12 rows 8 columns. row species. species Name species w_max Maximum size. w_mat Size maturity beta Size preference ratio sigma Width size-preference R_max Maximum reproduction rate k_vb von Bertalanffy k parameter w_inf von Bertalanffy asymptotic size gear Name fishing gear","code":""},{"path":"https://sizespectrum.org/mizer/reference/NS_species_params_gears.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Example species parameter set based on the North Sea with different gears — NS_species_params_gears","text":"Blanchard et al.","code":""},{"path":"https://sizespectrum.org/mizer/reference/NS_species_params_gears.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Example species parameter set based on the North Sea with different gears — NS_species_params_gears","text":"","code":"params <- MizerParams(NS_species_params_gears) #> Note: No sel_func column in species data frame. Setting selectivity to be 'knife_edge' for all species. #> Note: No knife_edge_size column in species data frame. Setting knife edge selectivity equal to w_mat. #> Note: No h column in species data frame so using f0 and k_vb to calculate it. #> Note: No gamma column in species data frame so using f0, h, beta, sigma, lambda and kappa to calculate it. #> Note: No ks column in species data frame so using ks = h * 0.2. #> Note: No m column in species data frame so using m = 1. #> Using z0 = z0pre * w_max ^ z0exp for missing z0 values."},{"path":"https://sizespectrum.org/mizer/reference/RickerRDD.html","id":null,"dir":"Reference","previous_headings":"","what":"Ricker function to calculate density-dependent reproduction rate — RickerRDD","title":"Ricker function to calculate density-dependent reproduction rate — RickerRDD","text":"Takes density-independent rates \\(R_{di}\\) egg production returns reduced, density-dependent rates \\(R_{dd}\\) given $$R_{dd} = R_{di} \\exp(- b R_{di})$$","code":""},{"path":"https://sizespectrum.org/mizer/reference/RickerRDD.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Ricker function to calculate density-dependent reproduction rate — RickerRDD","text":"","code":"RickerRDD(rdi, species_params, ...)"},{"path":"https://sizespectrum.org/mizer/reference/RickerRDD.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Ricker function to calculate density-dependent reproduction rate — RickerRDD","text":"rdi Vector density-independent reproduction rates \\(R_{di}\\) species. species_params species parameter dataframe. Must contain column ricker_b holding coefficient b. ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/RickerRDD.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Ricker function to calculate density-dependent reproduction rate — RickerRDD","text":"Vector density-dependent reproduction rates.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/SheperdRDD.html","id":null,"dir":"Reference","previous_headings":"","what":"Sheperd function to calculate density-dependent reproduction rate — SheperdRDD","title":"Sheperd function to calculate density-dependent reproduction rate — SheperdRDD","text":"Takes density-independent rates \\(R_{di}\\) egg production returns reduced, density-dependent rates \\(R_{dd}\\) given $$R_{dd} = \\frac{R_{di}}{1+(b\\ R_{di})^c}$$","code":""},{"path":"https://sizespectrum.org/mizer/reference/SheperdRDD.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Sheperd function to calculate density-dependent reproduction rate — SheperdRDD","text":"","code":"SheperdRDD(rdi, species_params, ...)"},{"path":"https://sizespectrum.org/mizer/reference/SheperdRDD.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Sheperd function to calculate density-dependent reproduction rate — SheperdRDD","text":"rdi Vector density-independent reproduction rates \\(R_{di}\\) species. species_params species parameter dataframe. Must contain columns sheperd_b sheperd_c parameters b c. ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/SheperdRDD.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Sheperd function to calculate density-dependent reproduction rate — SheperdRDD","text":"Vector density-dependent reproduction rates.","code":""},{"path":"https://sizespectrum.org/mizer/reference/SheperdRDD.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Sheperd function to calculate density-dependent reproduction rate — SheperdRDD","text":"\\(b = 1/R_{max}\\) \\(c = 1\\) reduces Beverton-Holt reproduction rate, see BevertonHoltRDD().","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/addSpecies.html","id":null,"dir":"Reference","previous_headings":"","what":"Add new species — addSpecies","title":"Add new species — addSpecies","text":"Takes MizerParams object adds additional species given parameters ecosystem. sets initial values new species steady-state solution given initial state existing ecosystem. close true steady state abundances new species sufficiently low. Hence abundances new species set 1/100th resource power law. reproductive efficiencies set keep low level.","code":""},{"path":"https://sizespectrum.org/mizer/reference/addSpecies.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Add new species — addSpecies","text":"","code":"addSpecies(   params,   species_params,   gear_params = data.frame(),   initial_effort,   interaction )"},{"path":"https://sizespectrum.org/mizer/reference/addSpecies.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Add new species — addSpecies","text":"params mizer params object original system. species_params Data frame species parameters new species want add system. gear_params Data frame gear parameters new species. provided new species fished. initial_effort named vector effort new fishing gear introduced gear_params. needed added species fished already existing gear. include effort values existing gear. New gear effort set via vector initial effort 0. interaction Interaction matrix. square matrix giving either interaction coefficients species new species. latter case interaction old new species set 1. argument missing, interactions involving new species set 1.","code":""},{"path":"https://sizespectrum.org/mizer/reference/addSpecies.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Add new species — addSpecies","text":"object type MizerParams","code":""},{"path":"https://sizespectrum.org/mizer/reference/addSpecies.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Add new species — addSpecies","text":"resulting MizerParams object use size grid possible, one new species needs larger range w (either new species egg size smaller existing species maximum size larger existing species) grid expanded arrays enlarged accordingly. rate arrays existing species set user values calculated default species parameters, preserved. rates new species calculated species parameters. adding new species, background species retuned system run steady state. done steady(). new species reproduction level 1/4, can changed setBevertonHolt()","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/addSpecies.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Add new species — addSpecies","text":"","code":"params <- newTraitParams() species_params <- data.frame(     species = \"Mullet\",     w_max = 173,     w_mat = 15,     beta = 283,     sigma = 1.8,     h = 30,     a = 0.0085,     b = 3.11 ) params <- addSpecies(params, species_params) #> Using f0, h, lambda, kappa and the predation kernel to calculate gamma. plotSpectra(params)"},{"path":"https://sizespectrum.org/mizer/reference/age_mat.html","id":null,"dir":"Reference","previous_headings":"","what":"Calculate age at maturity — age_mat","title":"Calculate age at maturity — age_mat","text":"Uses growth rate size maturity calculate age maturity","code":""},{"path":"https://sizespectrum.org/mizer/reference/age_mat.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Calculate age at maturity — age_mat","text":"","code":"age_mat(params)"},{"path":"https://sizespectrum.org/mizer/reference/age_mat.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Calculate age at maturity — age_mat","text":"params MizerParams object","code":""},{"path":"https://sizespectrum.org/mizer/reference/age_mat.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Calculate age at maturity — age_mat","text":"named vector. names species names values ages maturity.","code":""},{"path":"https://sizespectrum.org/mizer/reference/age_mat.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Calculate age at maturity — age_mat","text":"Using definition growth rate \\(g(w) = dw/dt\\) $$\\mathrm{age_{mat}} = \\int_0^{w_{mat}.}\\frac{dw}{g(w)}$$","code":""},{"path":"https://sizespectrum.org/mizer/reference/age_mat.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Calculate age at maturity — age_mat","text":"","code":"age_mat(NS_params) #>     Sprat   Sandeel    N.pout   Herring       Dab   Whiting      Sole   Gurnard  #> 2.5560864 0.9832776 1.7962884 3.0382630 1.9612689 2.7122876 4.4940829 4.1384558  #>    Plaice   Haddock       Cod    Saithe  #> 6.2608150 3.4391147 2.8583434 4.6315535"},{"path":"https://sizespectrum.org/mizer/reference/age_mat_vB.html","id":null,"dir":"Reference","previous_headings":"","what":"Calculate age at maturity from von Bertalanffy growth parameters — age_mat_vB","title":"Calculate age at maturity from von Bertalanffy growth parameters — age_mat_vB","text":"good way determine age maturity von Bertalanffy growth curve reliable larvae juveniles. However used previous versions mizer supplied backwards compatibility.","code":""},{"path":"https://sizespectrum.org/mizer/reference/age_mat_vB.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Calculate age at maturity from von Bertalanffy growth parameters — age_mat_vB","text":"","code":"age_mat_vB(object)"},{"path":"https://sizespectrum.org/mizer/reference/age_mat_vB.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Calculate age at maturity from von Bertalanffy growth parameters — age_mat_vB","text":"object MizerParams object species_params data frame","code":""},{"path":"https://sizespectrum.org/mizer/reference/age_mat_vB.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Calculate age at maturity from von Bertalanffy growth parameters — age_mat_vB","text":"named vector. names species names values ages maturity.","code":""},{"path":"https://sizespectrum.org/mizer/reference/age_mat_vB.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Calculate age at maturity from von Bertalanffy growth parameters — age_mat_vB","text":"Uses age maturity implied von Bertalanffy growth curve specified w_inf, k_vb, t0, b parameters species_params data frame. k_vb missing species, function returns NA species. Default values b = 3 t0 = 0 used missing. w_inf missing, w_max used instead.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/animateSpectra.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Animation of the abundance spectra — animateSpectra","text":"","code":"animateSpectra(   sim,   species = NULL,   time_range,   wlim = c(NA, NA),   ylim = c(NA, NA),   power = 1,   total = FALSE,   resource = TRUE )"},{"path":"https://sizespectrum.org/mizer/reference/animateSpectra.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Animation of the abundance spectra — animateSpectra","text":"sim MizerSim object species Name vector names species plotted. default species plotted. time_range time range animate . Either vector values vector min max time. Default entire time range simulation. wlim numeric vector length two providing lower upper limits w axis. Use NA refer existing minimum maximum. ylim numeric vector length two providing lower upper limits y axis. Use NA refer existing minimum maximum. values 1e-20 always cut . power abundance plotted number density times weight raised power. default power = 1 gives biomass density, whereas power = 2 gives biomass density respect logarithmic size bins. total boolean value determines whether total species system plotted well. Default FALSE. resource boolean value determines whether resource included. Default TRUE.","code":""},{"path":"https://sizespectrum.org/mizer/reference/animateSpectra.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Animation of the abundance spectra — animateSpectra","text":"plotly object","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/animateSpectra.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Animation of the abundance spectra — animateSpectra","text":"","code":"# \\donttest{ animateSpectra(NS_sim, power = 2, wlim = c(0.1, NA), time_range = 1997:2007)  {\"x\":{\"visdat\":{\"38a6159778f54\":[\"function () \",\"plotlyVisDat\"],\"38a613b780969\":[\"function () \",\"data\"],\"38a6159d0f977\":[\"function () \",\"data\"],\"38a6119fa6470\":[\"function () \",\"data\"],\"38a611204e0cc\":[\"function () \",\"data\"],\"38a614c7f656a\":[\"function () \",\"data\"],\"38a61acf3bdb\":[\"function () \",\"data\"],\"38a61679dcb8e\":[\"function () \",\"data\"],\"38a61792ba66d\":[\"function () \",\"data\"],\"38a61624bc6f8\":[\"function () \",\"data\"],\"38a615031db11\":[\"function () \",\"data\"],\"38a6130308afc\":[\"function () \",\"data\"],\"38a6177d26e07\":[\"function () \",\"data\"],\"38a6145f43269\":[\"function () \",\"data\"]},\"cur_data\":\"38a6145f43269\",\"attrs\":{\"38a613b780969\":{\"alpha_stroke\":1,\"sizes\":[10,100],\"spans\":[1,20],\"x\":{},\"y\":{},\"type\":\"scatter\",\"mode\":\"lines\",\"frame\":{},\"name\":\"Sprat\",\"line\":{\"color\":\"#815f00\",\"simplify\":false},\"showlegend\":true,\"inherit\":true},\"38a6159d0f977\":{\"alpha_stroke\":1,\"sizes\":[10,100],\"spans\":[1,20],\"x\":{},\"y\":{},\"type\":\"scatter\",\"mode\":\"lines\",\"frame\":{},\"name\":\"Sandeel\",\"line\":{\"color\":\"#6237e2\",\"simplify\":false},\"showlegend\":true,\"inherit\":true},\"38a6119fa6470\":{\"alpha_stroke\":1,\"sizes\":[10,100],\"spans\":[1,20],\"x\":{},\"y\":{},\"type\":\"scatter\",\"mode\":\"lines\",\"frame\":{},\"name\":\"N.pout\",\"line\":{\"color\":\"#8da600\",\"simplify\":false},\"showlegend\":true,\"inherit\":true},\"38a611204e0cc\":{\"alpha_stroke\":1,\"sizes\":[10,100],\"spans\":[1,20],\"x\":{},\"y\":{},\"type\":\"scatter\",\"mode\":\"lines\",\"frame\":{},\"name\":\"Herring\",\"line\":{\"color\":\"#de53ff\",\"simplify\":false},\"showlegend\":true,\"inherit\":true},\"38a614c7f656a\":{\"alpha_stroke\":1,\"sizes\":[10,100],\"spans\":[1,20],\"x\":{},\"y\":{},\"type\":\"scatter\",\"mode\":\"lines\",\"frame\":{},\"name\":\"Dab\",\"line\":{\"color\":\"#0e4300\",\"simplify\":false},\"showlegend\":true,\"inherit\":true},\"38a61acf3bdb\":{\"alpha_stroke\":1,\"sizes\":[10,100],\"spans\":[1,20],\"x\":{},\"y\":{},\"type\":\"scatter\",\"mode\":\"lines\",\"frame\":{},\"name\":\"Whiting\",\"line\":{\"color\":\"#430079\",\"simplify\":false},\"showlegend\":true,\"inherit\":true},\"38a61679dcb8e\":{\"alpha_stroke\":1,\"sizes\":[10,100],\"spans\":[1,20],\"x\":{},\"y\":{},\"type\":\"scatter\",\"mode\":\"lines\",\"frame\":{},\"name\":\"Sole\",\"line\":{\"color\":\"#6caa72\",\"simplify\":false},\"showlegend\":true,\"inherit\":true},\"38a61792ba66d\":{\"alpha_stroke\":1,\"sizes\":[10,100],\"spans\":[1,20],\"x\":{},\"y\":{},\"type\":\"scatter\",\"mode\":\"lines\",\"frame\":{},\"name\":\"Gurnard\",\"line\":{\"color\":\"#ee0053\",\"simplify\":false},\"showlegend\":true,\"inherit\":true},\"38a61624bc6f8\":{\"alpha_stroke\":1,\"sizes\":[10,100],\"spans\":[1,20],\"x\":{},\"y\":{},\"type\":\"scatter\",\"mode\":\"lines\",\"frame\":{},\"name\":\"Plaice\",\"line\":{\"color\":\"#007957\",\"simplify\":false},\"showlegend\":true,\"inherit\":true},\"38a615031db11\":{\"alpha_stroke\":1,\"sizes\":[10,100],\"spans\":[1,20],\"x\":{},\"y\":{},\"type\":\"scatter\",\"mode\":\"lines\",\"frame\":{},\"name\":\"Haddock\",\"line\":{\"color\":\"#b42979\",\"simplify\":false},\"showlegend\":true,\"inherit\":true},\"38a6130308afc\":{\"alpha_stroke\":1,\"sizes\":[10,100],\"spans\":[1,20],\"x\":{},\"y\":{},\"type\":\"scatter\",\"mode\":\"lines\",\"frame\":{},\"name\":\"Cod\",\"line\":{\"color\":\"#142300\",\"simplify\":false},\"showlegend\":true,\"inherit\":true},\"38a6177d26e07\":{\"alpha_stroke\":1,\"sizes\":[10,100],\"spans\":[1,20],\"x\":{},\"y\":{},\"type\":\"scatter\",\"mode\":\"lines\",\"frame\":{},\"name\":\"Saithe\",\"line\":{\"color\":\"#a08dfb\",\"simplify\":false},\"showlegend\":true,\"inherit\":true},\"38a6145f43269\":{\"alpha_stroke\":1,\"sizes\":[10,100],\"spans\":[1,20],\"x\":{},\"y\":{},\"type\":\"scatter\",\"mode\":\"lines\",\"frame\":{},\"name\":\"Resource\",\"line\":{\"color\":\"green\",\"simplify\":false},\"showlegend\":true,\"inherit\":true}},\"layout\":{\"margin\":{\"b\":40,\"l\":60,\"t\":25,\"r\":10},\"xaxis\":{\"domain\":[0,1],\"automargin\":true,\"type\":\"log\",\"exponentformat\":\"power\",\"title\":\"Size 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}"},{"path":"https://sizespectrum.org/mizer/reference/box_pred_kernel.html","id":null,"dir":"Reference","previous_headings":"","what":"Box predation kernel — box_pred_kernel","title":"Box predation kernel — box_pred_kernel","text":"predation kernel predator/prey mass ratio uniformly distributed interval.","code":""},{"path":"https://sizespectrum.org/mizer/reference/box_pred_kernel.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Box predation kernel — box_pred_kernel","text":"","code":"box_pred_kernel(ppmr, ppmr_min, ppmr_max)"},{"path":"https://sizespectrum.org/mizer/reference/box_pred_kernel.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Box predation kernel — box_pred_kernel","text":"ppmr vector predator/prey size ratios ppmr_min Minimum predator/prey mass ratio ppmr_max Maximum predator/prey mass ratio","code":""},{"path":"https://sizespectrum.org/mizer/reference/box_pred_kernel.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Box predation kernel — box_pred_kernel","text":"vector giving value predation kernel predator/prey mass ratios ppmr argument.","code":""},{"path":"https://sizespectrum.org/mizer/reference/box_pred_kernel.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Box predation kernel — box_pred_kernel","text":"Writing predator mass \\(w\\) prey mass \\(w_p\\), feeding kernel 1 \\(w/w_p\\) ppmr_min ppmr_max zero otherwise. parameters need given species parameter dataframe columns ppmr_min ppmr_max.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/box_pred_kernel.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Box predation kernel — box_pred_kernel","text":"","code":"params <- NS_params # Set all required paramters before changing kernel type species_params(params)$ppmr_max <- 4000 species_params(params)$ppmr_min <- 200 species_params(params)$pred_kernel_type <- \"box\" plot(w_full(params), getPredKernel(params)[\"Cod\", 10, ], type=\"l\", log=\"x\")"},{"path":"https://sizespectrum.org/mizer/reference/calc_selectivity.html","id":null,"dir":"Reference","previous_headings":"","what":"Calculate selectivity from gear parameters — calc_selectivity","title":"Calculate selectivity from gear parameters — calc_selectivity","text":"function calculates selectivity gear, species size gear parameters. called setFishing() selectivity set user.","code":""},{"path":"https://sizespectrum.org/mizer/reference/calc_selectivity.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Calculate selectivity from gear parameters — calc_selectivity","text":"","code":"calc_selectivity(params)"},{"path":"https://sizespectrum.org/mizer/reference/calc_selectivity.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Calculate selectivity from gear parameters — calc_selectivity","text":"params MizerParams object","code":""},{"path":"https://sizespectrum.org/mizer/reference/calc_selectivity.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Calculate selectivity from gear parameters — calc_selectivity","text":"array (gear x species x size) selectivity values","code":""},{"path":"https://sizespectrum.org/mizer/reference/calc_selectivity.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Calculate selectivity from gear parameters — calc_selectivity","text":"","code":"params <- NS_params str(calc_selectivity(params)) #>  num [1:4, 1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ... #>  - attr(*, \"dimnames\")=List of 3 #>   ..$ gear: chr [1:4] \"Industrial\" \"Pelagic\" \"Beam\" \"Otter\" #>   ..$ sp  : chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   ..$ w   : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... calc_selectivity(params)[\"Pelagic\", \"Herring\", ] #>   0.001 0.00119 0.00142  0.0017 0.00203 0.00242 0.00289 0.00345 0.00411 0.00491  #>       0       0       0       0       0       0       0       0       0       0  #> 0.00586 0.00699 0.00834 0.00995  0.0119  0.0142  0.0169  0.0202  0.0241  0.0288  #>       0       0       0       0       0       0       0       0       0       0  #>  0.0343  0.0409  0.0489  0.0583  0.0696   0.083  0.0991   0.118   0.141   0.168  #>       0       0       0       0       0       0       0       0       0       0  #>   0.201    0.24   0.286   0.342   0.408   0.486    0.58   0.693   0.827   0.987  #>       0       0       0       0       0       0       0       0       0       0  #>    1.18     1.4    1.68       2    2.39    2.85     3.4    4.06    4.84    5.78  #>       0       0       0       0       0       0       0       0       0       0  #>     6.9    8.23    9.82    11.7      14    16.7    19.9    23.8    28.4    33.8  #>       0       0       0       0       0       0       0       0       0       0  #>    40.4    48.2    57.5    68.7    81.9    97.8     117     139     166     198  #>       0       0       0       0       0       0       1       1       1       1  #>     237     282     337     402     480     573     683     816     973    1160  #>       1       1       1       1       1       1       1       1       1       1  #>    1390    1650    1970    2360    2810    3350    4000    4780    5700    6800  #>       1       1       1       1       1       1       1       1       1       1  #>    8120    9690   11600   13800   16500   19600   23400   28000   33400   39900  #>       1       1       1       1       1       1       1       1       1       1"},{"path":"https://sizespectrum.org/mizer/reference/calibrateBiomass.html","id":null,"dir":"Reference","previous_headings":"","what":"Calibrate the model scale to match total observed biomass — calibrateBiomass","title":"Calibrate the model scale to match total observed biomass — calibrateBiomass","text":"Given MizerParams object params biomass observations available least species via biomass_observed column species_params data frame, function returns updated MizerParams object rescaled scaleModel() total biomass model agrees total observed biomass.","code":""},{"path":"https://sizespectrum.org/mizer/reference/calibrateBiomass.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Calibrate the model scale to match total observed biomass — calibrateBiomass","text":"","code":"calibrateBiomass(params)"},{"path":"https://sizespectrum.org/mizer/reference/calibrateBiomass.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Calibrate the model scale to match total observed biomass — calibrateBiomass","text":"params MizerParams object","code":""},{"path":"https://sizespectrum.org/mizer/reference/calibrateBiomass.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Calibrate the model scale to match total observed biomass — calibrateBiomass","text":"MizerParams object","code":""},{"path":"https://sizespectrum.org/mizer/reference/calibrateBiomass.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Calibrate the model scale to match total observed biomass — calibrateBiomass","text":"Biomass observations usually include individuals certain size. size specified biomass_cutoff column species parameter data frame. missing, assumed sizes included observed biomass, .e., includes larval biomass. using function total biomass model match total biomass, summed species. However biomasses individual species match observations yet, species biomasses high others low. function may want use matchBiomasses(). described blog post https://bit.ly/2YqXESV. observations yearly yield instead biomasses, can use calibrateYield() instead function.","code":""},{"path":"https://sizespectrum.org/mizer/reference/calibrateBiomass.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Calibrate the model scale to match total observed biomass — calibrateBiomass","text":"","code":"params <- NS_params species_params(params)$biomass_observed <-      c(0.8, 61, 12, 35, 1.6, 20, 10, 7.6, 135, 60, 30, 78) species_params(params)$biomass_cutoff <- 10 params2 <- calibrateBiomass(params) plotBiomassObservedVsModel(params2)"},{"path":"https://sizespectrum.org/mizer/reference/calibrateNumber.html","id":null,"dir":"Reference","previous_headings":"","what":"Calibrate the model scale to match total observed number — calibrateNumber","title":"Calibrate the model scale to match total observed number — calibrateNumber","text":"Given MizerParams object params number observations available least species via number_observed column species_params data frame, function returns updated MizerParams object rescaled scaleModel() total number model agrees total observed number.","code":""},{"path":"https://sizespectrum.org/mizer/reference/calibrateNumber.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Calibrate the model scale to match total observed number — calibrateNumber","text":"","code":"calibrateNumber(params)"},{"path":"https://sizespectrum.org/mizer/reference/calibrateNumber.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Calibrate the model scale to match total observed number — calibrateNumber","text":"params MizerParams object","code":""},{"path":"https://sizespectrum.org/mizer/reference/calibrateNumber.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Calibrate the model scale to match total observed number — calibrateNumber","text":"MizerParams object","code":""},{"path":"https://sizespectrum.org/mizer/reference/calibrateNumber.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Calibrate the model scale to match total observed number — calibrateNumber","text":"Number observations usually include individuals certain size. size specified number_cutoff column species parameter data frame. missing, assumed sizes included observed number, .e., includes larval number. using function total number model match total number, summed species. However numbers individual species match observations yet, species numbers high others low. function may want use matchNumbers(). described blog post https://bit.ly/2YqXESV. observations yearly yield instead numbers, can use calibrateYield() instead function.","code":""},{"path":"https://sizespectrum.org/mizer/reference/calibrateNumber.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Calibrate the model scale to match total observed number — calibrateNumber","text":"","code":"params <- NS_params species_params(params)$number_observed <-     c(0.8, 61, 12, 35, 1.6, 20, 10, 7.6, 135, 60, 30, 78) species_params(params)$number_cutoff <- 10 params2 <- calibrateNumber(params)"},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/calibrateYield.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Calibrate the model scale to match total observed yield — calibrateYield","text":"","code":"calibrateYield(params)"},{"path":"https://sizespectrum.org/mizer/reference/calibrateYield.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Calibrate the model scale to match total observed yield — calibrateYield","text":"params MizerParams object","code":""},{"path":"https://sizespectrum.org/mizer/reference/calibrateYield.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Calibrate the model scale to match total observed yield — calibrateYield","text":"MizerParams object","code":""},{"path":"https://sizespectrum.org/mizer/reference/calibrateYield.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Calibrate the model scale to match total observed yield — calibrateYield","text":"function deprecated removed future unless use case . use case , please let developers know creating issue https://github.com/sizespectrum/mizer/issues. Given MizerParams object params yield observations available least species via yield_observed column species_params data frame, function returns updated MizerParams object rescaled scaleModel() total yield model agrees total observed yield. using function total yield model match total observed yield, summed species. However yields individual species match observations yet, species yields high others low. function may want use matchYields(). observations species biomasses instead yields, can use calibrateBiomass() instead function.","code":""},{"path":"https://sizespectrum.org/mizer/reference/calibrateYield.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Calibrate the model scale to match total observed yield — calibrateYield","text":"","code":"params <- NS_params species_params(params)$yield_observed <-     c(0.8, 61, 12, 35, 1.6, 20, 10, 7.6, 135, 60, 30, 78) gear_params(params)$catchability <-     c(1.3, 0.065, 0.31, 0.18, 0.98, 0.24, 0.37, 0.46, 0.18, 0.30, 0.27, 0.39) params2 <- calibrateYield(params) #> Warning: `calibrateYield()` was deprecated in mizer 2.6.0. #> ℹ This function has not proven useful. If you do have a use case for it, please #>   let the developers know by creating an issue at #>   https://github.com/sizespectrum/mizer/issues plotYieldObservedVsModel(params2) #> The following species are not being fished in your model and will not be included in the plot: Sprat, Sandeel, N.pout."},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/compareParams.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Compare two MizerParams objects and print out differences — compareParams","text":"","code":"compareParams(params1, params2)"},{"path":"https://sizespectrum.org/mizer/reference/compareParams.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Compare two MizerParams objects and print out differences — compareParams","text":"params1 First MizerParams object params2 Second MizerParams object","code":""},{"path":"https://sizespectrum.org/mizer/reference/compareParams.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Compare two MizerParams objects and print out differences — compareParams","text":"String describing differences","code":""},{"path":"https://sizespectrum.org/mizer/reference/compareParams.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Compare two MizerParams objects and print out differences — compareParams","text":"","code":"params1 <- NS_params params2 <- params1 species_params(params2)$w_mat[1] <- 10 #> Warning: For the species Sprat the value for `w_mat25` is not smaller than that of `w_mat`. I have corrected that by setting it to NA. compareParams(params1, params2) #> [1] \"The following species parameters differ: Component “w_mat”: Mean absolute difference: 3, Component “w_mat25”: Mean absolute difference: 2.687875\" #> [2] \"The time_modified slots do not agree: Mean absolute difference: 61547395\"                                                                         #> [3] \"The maturity slots do not agree: Mean absolute difference: 0.04497162\"                                                                            #> [4] \"The psi slots do not agree: Mean absolute difference: 0.06138336\""},{"path":"https://sizespectrum.org/mizer/reference/completeSpeciesParams.html","id":null,"dir":"Reference","previous_headings":"","what":"Alias for validSpeciesParams() — completeSpeciesParams","title":"Alias for validSpeciesParams() — completeSpeciesParams","text":"alias provided backward compatibility mizer version <= 2.5.2","code":""},{"path":"https://sizespectrum.org/mizer/reference/completeSpeciesParams.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Alias for validSpeciesParams() — completeSpeciesParams","text":"","code":"completeSpeciesParams(species_params)"},{"path":"https://sizespectrum.org/mizer/reference/completeSpeciesParams.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Alias for validSpeciesParams() — completeSpeciesParams","text":"species_params user-supplied species parameter data frame","code":""},{"path":"https://sizespectrum.org/mizer/reference/completeSpeciesParams.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Alias for validSpeciesParams() — completeSpeciesParams","text":"validSpeciesParams(): valid species parameter data frame additional parameters default values. validGivenSpeciesParams(): valid species parameter data frame without additional parameters.","code":""},{"path":"https://sizespectrum.org/mizer/reference/completeSpeciesParams.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Alias for validSpeciesParams() — completeSpeciesParams","text":"validGivenSpeciesParams() checks validity given species parameter throws error species column exist contains duplicates maximum size specified species weight-based parameter missing corresponding length-based parameter given, well b parameters length-weight conversion, weight-based parameters added. length weight given, weight used warning issued two inconsistent. w_inf column given w_max value w_inf used. backwards compatibility. note von Bertalanffy parameter w_inf maximum size largest individual, asymptotic size average individual. inconsistencies size parameters resolved follows: w_mat smaller w_max set w_max / 4. w_mat25 smaller w_mat set NA. w_min smaller w_mat set 0.001 w_mat /10, whichever smaller. w_repro_max larger w_mat set 4 * w_mat. row names returned data frame species names. species_params provided tibble converted back ordinary data frame. function tests typical misspellings parameter names, like wrong capitalisation missing underscores issues warning detects name. validSpeciesParams() first calls validGivenSpeciesParams() goes adding default values species parameters provided. function sets default values following species parameters missing NA: w_repro_max set w_max w_mat set w_max/4 w_min set 0.001 alpha set 0.6 interaction_resource set 1 n set 3/4 p set n Note species parameters returned functions guaranteed produce viable model. checks parameters performed individual rate-setting functions (see setParams() list functions).","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/constantEggRDI.html","id":null,"dir":"Reference","previous_headings":"","what":"Choose egg production to keep egg density constant — constantEggRDI","title":"Choose egg production to keep egg density constant — constantEggRDI","text":"new egg production set compensate loss individuals smallest size class growth mortality. result modified density dependence, used together noRDD() function, see example.","code":""},{"path":"https://sizespectrum.org/mizer/reference/constantEggRDI.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Choose egg production to keep egg density constant — constantEggRDI","text":"","code":"constantEggRDI(params, n, e_growth, mort, ...)"},{"path":"https://sizespectrum.org/mizer/reference/constantEggRDI.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Choose egg production to keep egg density constant — constantEggRDI","text":"params MizerParams object n matrix species abundances (species x size). e_growth two dimensional array (species x size) holding energy available growth calculated mizerEGrowth(). mort two dimensional array (species x size) holding mortality rate calculated mizerMort(). ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/constantEggRDI.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Choose egg production to keep egg density constant — constantEggRDI","text":"Vector value species","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/constantEggRDI.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Choose egg production to keep egg density constant — constantEggRDI","text":"","code":"# \\donttest{ # choose an example params object params <- NS_params # We set the reproduction rate functions params <- setRateFunction(params, \"RDI\", \"constantEggRDI\") params <- setRateFunction(params, \"RDD\", \"noRDD\") # Now the egg density should stay fixed no matter how we fish sim <- project(params, effort = 10, progress_bar = FALSE) # To check that indeed the egg densities have not changed, we first construct # the indices for addressing the egg densities no_sp <- nrow(params@species_params) idx <- (params@w_min_idx - 1) * no_sp + (1:no_sp) # Now we can check equality between egg densities at the start and the end all.equal(finalN(sim)[idx], initialN(params)[idx]) #> [1] TRUE # }"},{"path":"https://sizespectrum.org/mizer/reference/constantRDD.html","id":null,"dir":"Reference","previous_headings":"","what":"Give constant reproduction rate — constantRDD","title":"Give constant reproduction rate — constantRDD","text":"Simply returns value species_params$constant_reproduction.","code":""},{"path":"https://sizespectrum.org/mizer/reference/constantRDD.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Give constant reproduction rate — constantRDD","text":"","code":"constantRDD(rdi, species_params, ...)"},{"path":"https://sizespectrum.org/mizer/reference/constantRDD.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Give constant reproduction rate — constantRDD","text":"rdi Vector density-independent reproduction rates \\(R_{di}\\) species. species_params species parameter dataframe. Must contain column constant_reproduction. ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/constantRDD.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Give constant reproduction rate — constantRDD","text":"Vector species_params$constant_reproduction","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/constant_other.html","id":null,"dir":"Reference","previous_headings":"","what":"Helper function to keep other components constant — constant_other","title":"Helper function to keep other components constant — constant_other","text":"Helper function keep components constant","code":""},{"path":"https://sizespectrum.org/mizer/reference/constant_other.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Helper function to keep other components constant — constant_other","text":"","code":"constant_other(params, n_other, component, ...)"},{"path":"https://sizespectrum.org/mizer/reference/constant_other.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Helper function to keep other components constant — constant_other","text":"params MizerParams object n_other Abundances components component Name component updated ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/constant_other.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Helper function to keep other components constant — constant_other","text":"current value component","code":""},{"path":"https://sizespectrum.org/mizer/reference/customFunction.html","id":null,"dir":"Reference","previous_headings":"","what":"Replace a mizer function with a custom version — customFunction","title":"Replace a mizer function with a custom version — customFunction","text":"function allows make arbitrary changes mizer works allowing replace mizer function version. last resort, find can use standard mizer extension mechanism achieve goal.","code":""},{"path":"https://sizespectrum.org/mizer/reference/customFunction.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Replace a mizer function with a custom version — customFunction","text":"","code":"customFunction(name, fun)"},{"path":"https://sizespectrum.org/mizer/reference/customFunction.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Replace a mizer function with a custom version — customFunction","text":"name Name mizer function replace fun custom function use replacement","code":""},{"path":"https://sizespectrum.org/mizer/reference/customFunction.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Replace a mizer function with a custom version — customFunction","text":"return value, called side effects","code":""},{"path":"https://sizespectrum.org/mizer/reference/customFunction.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Replace a mizer function with a custom version — customFunction","text":"function need overwrite one mizer rate functions, use setRateFunction() instead function. Similarly use resource_dynamics()<- change resource dynamics setReproduction() change density-dependence reproduction. also investigate whether can achieve goal introducing additional ecosystem components setComponent(). find goal really require overwrite mizer function, please also create issue mizer issue tracker https://github.com/sizespectrum/mizer/issues describe goal, interesting mizer community may motivate future improvements mizer functionality. Note customFunction() overwrites function used mizer code. overwrite function exported mizer. become clear run code Examples section. function way check replacement function compatible mizer. Calling function can totally break mizer. However can always undo effect reloading mizer ","code":"detach(package:mizer, unload = TRUE) library(mizer)"},{"path":"https://sizespectrum.org/mizer/reference/customFunction.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Replace a mizer function with a custom version — customFunction","text":"","code":"if (FALSE) { # \\dontrun{ fake_project <- function(...) \"Fake\" customFunction(\"project\", fake_project) mizer::project(NS_params) # This will print \"Fake\" project(NS_params) # This will still use the old project() function # To undo the effect: customFunction(\"project\", project) mizer::project(NS_params) # This will again use the old project() } # }"},{"path":"https://sizespectrum.org/mizer/reference/default_pred_kernel_params.html","id":null,"dir":"Reference","previous_headings":"","what":"Set defaults for predation kernel parameters — default_pred_kernel_params","title":"Set defaults for predation kernel parameters — default_pred_kernel_params","text":"predation kernel type specified species, set \"lognormal\" default values set parameters beta sigma.","code":""},{"path":"https://sizespectrum.org/mizer/reference/default_pred_kernel_params.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Set defaults for predation kernel parameters — default_pred_kernel_params","text":"","code":"default_pred_kernel_params(object)"},{"path":"https://sizespectrum.org/mizer/reference/default_pred_kernel_params.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Set defaults for predation kernel parameters — default_pred_kernel_params","text":"object Either MizerParams object species parameter data frame","code":""},{"path":"https://sizespectrum.org/mizer/reference/default_pred_kernel_params.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Set defaults for predation kernel parameters — default_pred_kernel_params","text":"object updated columns species params data frame.","code":""},{"path":"https://sizespectrum.org/mizer/reference/defaults_edition.html","id":null,"dir":"Reference","previous_headings":"","what":"Default editions — defaults_edition","title":"Default editions — defaults_edition","text":"Function set get edition default choices used.","code":""},{"path":"https://sizespectrum.org/mizer/reference/defaults_edition.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Default editions — defaults_edition","text":"","code":"defaults_edition(edition = NULL)"},{"path":"https://sizespectrum.org/mizer/reference/defaults_edition.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Default editions — defaults_edition","text":"edition NULL numerical value.","code":""},{"path":"https://sizespectrum.org/mizer/reference/defaults_edition.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Default editions — defaults_edition","text":"current edition number.","code":""},{"path":"https://sizespectrum.org/mizer/reference/defaults_edition.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Default editions — defaults_edition","text":"mizer functions creating new models make lot choices default values parameters provided user. Sometimes find better ways choose defaults update mizer accordingly. , increase edition number. call defaults_edition() without argument returns currently active edition. Otherwise sets active edition given value. Users want existing code creating models change behaviour run future versions mizer explicitly set desired defaults edition top code. recent edition edition 2. become default next release. current default edition 1. following defaults changed edition 2: catchability = 0.3 instead 1 initial effort = 1 instead 0","code":""},{"path":"https://sizespectrum.org/mizer/reference/different.html","id":null,"dir":"Reference","previous_headings":"","what":"Check whether two objects are different — different","title":"Check whether two objects are different — different","text":"Check whether two objects numerically different, ignoring attributes.","code":""},{"path":"https://sizespectrum.org/mizer/reference/different.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Check whether two objects are different — different","text":"","code":"different(a, b)"},{"path":"https://sizespectrum.org/mizer/reference/different.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Check whether two objects are different — different","text":"First object b Second object","code":""},{"path":"https://sizespectrum.org/mizer/reference/different.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Check whether two objects are different — different","text":"TRUE FALSE","code":""},{"path":"https://sizespectrum.org/mizer/reference/different.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Check whether two objects are different — different","text":"use helper function particular see new value slot MizerParams different existing value order give appropriate messages.","code":""},{"path":"https://sizespectrum.org/mizer/reference/distanceMaxRelRDI.html","id":null,"dir":"Reference","previous_headings":"","what":"Measure distance between current and previous state in terms of RDI — distanceMaxRelRDI","title":"Measure distance between current and previous state in terms of RDI — distanceMaxRelRDI","text":"function can used projectToSteady() decide sufficient convergence steady state achieved.","code":""},{"path":"https://sizespectrum.org/mizer/reference/distanceMaxRelRDI.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Measure distance between current and previous state in terms of RDI — distanceMaxRelRDI","text":"","code":"distanceMaxRelRDI(params, current, previous)"},{"path":"https://sizespectrum.org/mizer/reference/distanceMaxRelRDI.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Measure distance between current and previous state in terms of RDI — distanceMaxRelRDI","text":"params MizerParams current named list entries n, n_pp n_other describing current state previous named list entries n, n_pp n_other describing previous state","code":""},{"path":"https://sizespectrum.org/mizer/reference/distanceMaxRelRDI.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Measure distance between current and previous state in terms of RDI — distanceMaxRelRDI","text":"largest absolute relative change rdi: max(abs((current_rdi - previous_rdi) / previous_rdi))","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/distanceSSLogN.html","id":null,"dir":"Reference","previous_headings":"","what":"Measure distance between current and previous state in terms of fish abundances — distanceSSLogN","title":"Measure distance between current and previous state in terms of fish abundances — distanceSSLogN","text":"Calculates sum squared difference log(N) current previous state. function can used projectToSteady() decide sufficient convergence steady state achieved.","code":""},{"path":"https://sizespectrum.org/mizer/reference/distanceSSLogN.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Measure distance between current and previous state in terms of fish abundances — distanceSSLogN","text":"","code":"distanceSSLogN(params, current, previous)"},{"path":"https://sizespectrum.org/mizer/reference/distanceSSLogN.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Measure distance between current and previous state in terms of fish abundances — distanceSSLogN","text":"params MizerParams current named list entries n, n_pp n_other describing current state previous named list entries n, n_pp n_other describing previous state","code":""},{"path":"https://sizespectrum.org/mizer/reference/distanceSSLogN.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Measure distance between current and previous state in terms of fish abundances — distanceSSLogN","text":"sum squares difference logs (nonzero) fish abundances n: sum((log(current$n) - log(previous$n))^2)","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/double_sigmoid_length.html","id":null,"dir":"Reference","previous_headings":"","what":"Length based double-sigmoid selectivity function — double_sigmoid_length","title":"Length based double-sigmoid selectivity function — double_sigmoid_length","text":"hump-shaped selectivity function sigmoidal rise independent sigmoidal drop-. drop-distinguishes function sigmoid_length() intended model escape large individuals fishing gear.","code":""},{"path":"https://sizespectrum.org/mizer/reference/double_sigmoid_length.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Length based double-sigmoid selectivity function — double_sigmoid_length","text":"","code":"double_sigmoid_length(w, l25, l50, l50_right, l25_right, species_params, ...)"},{"path":"https://sizespectrum.org/mizer/reference/double_sigmoid_length.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Length based double-sigmoid selectivity function — double_sigmoid_length","text":"w Vector sizes. l25 length gives selectivity 25%. l50 length gives selectivity 50%. l50_right length gives selectivity 50%. l25_right length gives selectivity 25%. species_params list species params current species. Used get length-weight parameters b ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/double_sigmoid_length.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Length based double-sigmoid selectivity function — double_sigmoid_length","text":"Vector selectivities given sizes.","code":""},{"path":"https://sizespectrum.org/mizer/reference/double_sigmoid_length.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Length based double-sigmoid selectivity function — double_sigmoid_length","text":"selectivity obtained product two sigmoidal curves, one rising one dropping. sigmoidal rise based two parameters l25 l50 determine length 25% 50% stock selected respectively. sigmoidal drop-based two parameters l50_right l25_right determine length selectivity curve dropped back 50% 25% respectively. selectivity given function $$S(l) = \\frac{1}{1 + \\exp\\left(\\log(3)\\frac{l50 -l}{l50 - l25}\\right)}\\frac{1}{1 + \\exp\\left(\\log(3)\\frac{l50_{right} -l}{l50_{right} - l25_{right}}\\right)}$$ size-based model weight based, selectivity function length based, uses length-weight parameters b convert length weight. $$l = \\left(\\frac{w}{}\\right)^{1/b}$$","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/emptyParams.html","id":null,"dir":"Reference","previous_headings":"","what":"Create empty MizerParams object of the right size — emptyParams","title":"Create empty MizerParams object of the right size — emptyParams","text":"internal function. Sets valid MizerParams object slots initialised given dimension names, slots left empty. function used functions set full parameter objects.","code":""},{"path":"https://sizespectrum.org/mizer/reference/emptyParams.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Create empty MizerParams object of the right size — emptyParams","text":"","code":"emptyParams(   species_params,   gear_params = data.frame(),   no_w = 100,   min_w = 0.001,   max_w = NA,   min_w_pp = 1e-12 )"},{"path":"https://sizespectrum.org/mizer/reference/emptyParams.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Create empty MizerParams object of the right size — emptyParams","text":"species_params data frame species-specific parameter values. gear_params data frame gear-specific parameter values. no_w number size bins consumer spectrum. min_w Sets size eggs species given w_min column species_params dataframe. max_w largest size consumer spectrum. default set largest w_max specified species_params data frame. min_w_pp smallest size resource spectrum.","code":""},{"path":"https://sizespectrum.org/mizer/reference/emptyParams.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Create empty MizerParams object of the right size — emptyParams","text":"empty valid MizerParams object","code":""},{"path":"https://sizespectrum.org/mizer/reference/emptyParams.html","id":"size-grid","dir":"Reference","previous_headings":"","what":"Size grid","title":"Create empty MizerParams object of the right size — emptyParams","text":"size grid created log-sizes equally spaced. spacing chosen no_w fish size bins, smallest starting min_w largest starting max_w. resource spectrum larger set bins containing additional bins min_w, log size. number extra bins min_w_pp comes lie within smallest bin.","code":""},{"path":"https://sizespectrum.org/mizer/reference/emptyParams.html","id":"changes-to-species-params","dir":"Reference","previous_headings":"","what":"Changes to species params","title":"Create empty MizerParams object of the right size — emptyParams","text":"species_params slot returned MizerParams object may differ data frame supplied argument function default values set missing parameters.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/finalN.html","id":null,"dir":"Reference","previous_headings":"","what":"Size spectra at end of simulation — finalN","title":"Size spectra at end of simulation — finalN","text":"Size spectra end simulation","code":""},{"path":"https://sizespectrum.org/mizer/reference/finalN.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Size spectra at end of simulation — finalN","text":"","code":"finalN(sim)  finalNResource(sim)  idxFinalT(sim)"},{"path":"https://sizespectrum.org/mizer/reference/finalN.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Size spectra at end of simulation — finalN","text":"sim MizerSim object","code":""},{"path":"https://sizespectrum.org/mizer/reference/finalN.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Size spectra at end of simulation — finalN","text":"finalN(): array (species x size) holding consumer number densities end simulation finalNResource(): vector holding resource number densities end simulation size classes idxFinalT(): integer giving index extracting results final time step","code":""},{"path":"https://sizespectrum.org/mizer/reference/finalN.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Size spectra at end of simulation — finalN","text":"","code":"str(finalN(NS_sim)) #>  num [1:12, 1:100] 1.53e+13 5.89e+12 1.10e+14 1.37e+13 1.16e+11 ... #>  - attr(*, \"dimnames\")=List of 2 #>   ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   ..$ w : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ...  # This could also be obtained using `N()` and `idxFinalT()` identical(N(NS_sim)[idxFinalT(NS_sim), , ], finalN(NS_sim)) #> [1] TRUE str(finalNResource(NS_sim)) #>  Named num [1:218] 4.88e+35 3.40e+35 2.36e+35 1.64e+35 1.14e+35 ... #>  - attr(*, \"names\")= chr [1:218] \"8.73e-13\" \"1.04e-12\" \"1.24e-12\" \"1.48e-12\" ... idx <- idxFinalT(NS_sim) idx #> [1] 44 # This coincides with length(getTimes(NS_sim)) #> [1] 44 # and corresponds to the final time getTimes(NS_sim)[idx] #> [1] 2010 # We can use this index to extract the result at the final time identical(N(NS_sim)[idx, , ], finalN(NS_sim)) #> [1] TRUE identical(NResource(NS_sim)[idx, ], finalNResource(NS_sim)) #> [1] TRUE"},{"path":"https://sizespectrum.org/mizer/reference/finalNOther.html","id":null,"dir":"Reference","previous_headings":"","what":"Values of other ecosystem components at end of simulation — finalNOther","title":"Values of other ecosystem components at end of simulation — finalNOther","text":"Values ecosystem components end simulation","code":""},{"path":"https://sizespectrum.org/mizer/reference/finalNOther.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Values of other ecosystem components at end of simulation — finalNOther","text":"","code":"finalNOther(sim)"},{"path":"https://sizespectrum.org/mizer/reference/finalNOther.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Values of other ecosystem components at end of simulation — finalNOther","text":"sim MizerSim object","code":""},{"path":"https://sizespectrum.org/mizer/reference/finalNOther.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Values of other ecosystem components at end of simulation — finalNOther","text":"named list holding values ecosystem components end simulation","code":""},{"path":"https://sizespectrum.org/mizer/reference/gear_params.html","id":null,"dir":"Reference","previous_headings":"","what":"Gear parameters — gear_params","title":"Gear parameters — gear_params","text":"functions allow get set gear parameters stored MizerParams object. used setFishing() set selectivity catchability thus together fishing effort determine fishing mortality.","code":""},{"path":"https://sizespectrum.org/mizer/reference/gear_params.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Gear parameters — gear_params","text":"","code":"gear_params(params)  gear_params(params) <- value"},{"path":"https://sizespectrum.org/mizer/reference/gear_params.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Gear parameters — gear_params","text":"params MizerParams object value data frame gear parameters.","code":""},{"path":"https://sizespectrum.org/mizer/reference/gear_params.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Gear parameters — gear_params","text":"Data frame gear parameters","code":""},{"path":"https://sizespectrum.org/mizer/reference/gear_params.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Gear parameters — gear_params","text":"gear_params data one row gear-species pair one column parameter determines gear interacts species. columns : species name species gear name gear catchability number specifying strongly gear selects species. sel_func name function calculates selectivity curve. One column selectivity parameter needed selectivity functions. details see setFishing(). can optionally also column yield_observed allows specify gear species total annual fisheries yield. fishing effort, also needed determine fishing mortality exerted gear set via gear_params data frame set initial_effort() specified calling project(). change gear parameter, used recalculate selectivity catchability arrays calling setFishing(), unless previously set hand. gear_params<- automatically sets row names contain species name gear name, separated comma space. last example illustrates facilitates changing individual gear parameter.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/gear_params.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Gear parameters — gear_params","text":"","code":"params <- NS_params  # gears set up in example gear_params(params) #>                           gear species   sel_func knife_edge_size catchability #> Sprat, Industrial   Industrial   Sprat knife_edge              13            1 #> Sandeel, Industrial Industrial Sandeel knife_edge               4            1 #> N.pout, Industrial  Industrial  N.pout knife_edge              23            1 #> Herring, Pelagic       Pelagic Herring knife_edge              99            1 #> Dab, Beam                 Beam     Dab knife_edge              21            1 #> Whiting, Otter           Otter Whiting knife_edge              75            1 #> Sole, Beam                Beam    Sole knife_edge              78            1 #> Gurnard, Otter           Otter Gurnard knife_edge              39            1 #> Plaice, Beam              Beam  Plaice knife_edge             105            1 #> Haddock, Otter           Otter Haddock knife_edge             165            1 #> Cod, Otter               Otter     Cod knife_edge            1606            1 #> Saithe, Otter            Otter  Saithe knife_edge            1076            1  # setting totally different gears gear_params(params) <- data.frame(     gear = c(\"gear1\", \"gear2\", \"gear1\"),     species = c(\"Cod\", \"Cod\", \"Haddock\"),     catchability = c(0.5, 2, 1),     sel_fun = c(\"sigmoid_weight\", \"knife_edge\", \"sigmoid_weight\"),     sigmoidal_weight = c(1000, NA, 800),     sigmoidal_sigma = c(100, NA, 100),     knife_edge_size = c(NA, 1000, NA)     ) gear_params(params) #>                 gear species catchability        sel_fun sigmoidal_weight #> Cod, gear1     gear1     Cod          0.5 sigmoid_weight             1000 #> Cod, gear2     gear2     Cod          2.0     knife_edge               NA #> Haddock, gear1 gear1 Haddock          1.0 sigmoid_weight              800 #>                sigmoidal_sigma knife_edge_size   sel_func #> Cod, gear1                 100            1606 knife_edge #> Cod, gear2                  NA            1000 knife_edge #> Haddock, gear1             100             165 knife_edge  # changing an individual entry gear_params(params)[\"Cod, gear1\", \"catchability\"] <- 0.8"},{"path":"https://sizespectrum.org/mizer/reference/getBiomass.html","id":null,"dir":"Reference","previous_headings":"","what":"Calculate the total biomass of each species within a size range at each time step. — getBiomass","title":"Calculate the total biomass of each species within a size range at each time step. — getBiomass","text":"Calculates total biomass time within user defined size limits. default option use whole size range. can specify minimum maximum weight length range species. Lengths take precedence weights (.e. min_l min_w supplied, min_l used).","code":""},{"path":"https://sizespectrum.org/mizer/reference/getBiomass.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Calculate the total biomass of each species within a size range at each time step. — getBiomass","text":"","code":"getBiomass(object, ...)"},{"path":"https://sizespectrum.org/mizer/reference/getBiomass.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Calculate the total biomass of each species within a size range at each time step. — getBiomass","text":"object object class MizerParams MizerSim. ... Arguments passed get_size_range_array min_w Smallest weight size range. Defaults smallest weight model. max_w Largest weight size range. Defaults largest weight model. min_l Smallest length size range. supplied, takes precedence min_w. max_l Largest length size range. supplied, takes precedence max_w.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getBiomass.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Calculate the total biomass of each species within a size range at each time step. — getBiomass","text":"called MizerParams object, vector biomass grams species model. called MizerSim object, array (time x species) containing biomass grams time step species.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/getBiomass.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Calculate the total biomass of each species within a size range at each time step. — getBiomass","text":"","code":"biomass <- getBiomass(NS_sim) biomass[\"1972\", \"Herring\"] #> [1] 218218354800 biomass <- getBiomass(NS_sim, min_w = 10, max_w = 1000) biomass[\"1972\", \"Herring\"] #> [1] 154290431041"},{"path":"https://sizespectrum.org/mizer/reference/getCommunitySlope.html","id":null,"dir":"Reference","previous_headings":"","what":"Calculate the slope of the community abundance — getCommunitySlope","title":"Calculate the slope of the community abundance — getCommunitySlope","text":"Calculates slope community abundance time performing linear regression logged total numerical abundance weight logged weights (natural logs, log base 10, used). can specify minimum maximum weight length range species. Lengths take precedence weights (.e. min_l min_w supplied, min_l used). can also specify species used calculation.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getCommunitySlope.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Calculate the slope of the community abundance — getCommunitySlope","text":"","code":"getCommunitySlope(sim, species = NULL, biomass = TRUE, ...)"},{"path":"https://sizespectrum.org/mizer/reference/getCommunitySlope.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Calculate the slope of the community abundance — getCommunitySlope","text":"sim MizerSim object species species selected. Optional. default target species selected. vector species names, numeric vector species indices, logical vector indicating species whether selected (TRUE) . biomass Boolean. TRUE (default), abundance based biomass, FALSE abundance based numbers. ... Arguments passed get_size_range_array min_w Smallest weight size range. Defaults smallest weight model. max_w Largest weight size range. Defaults largest weight model. min_l Smallest length size range. supplied, takes precedence min_w. max_l Largest length size range. supplied, takes precedence max_w.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getCommunitySlope.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Calculate the slope of the community abundance — getCommunitySlope","text":"data.frame four columns: time step, slope, intercept coefficient determination R^2.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/getCommunitySlope.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Calculate the slope of the community abundance — getCommunitySlope","text":"","code":"# Slope based on biomass, using all species and sizes slope_biomass <- getCommunitySlope(NS_sim) slope_biomass[1, ] # in 1976 #>          slope intercept        r2 #> 1967 -0.830658  25.43745 0.8878355 slope_biomass[idxFinalT(NS_sim), ] # in 2010 #>           slope intercept       r2 #> 2010 -0.7925937  25.61399 0.935702  # Slope based on numbers, using all species and sizes slope_numbers <- getCommunitySlope(NS_sim, biomass = FALSE) slope_numbers[1, ] # in 1976 #>          slope intercept        r2 #> 1967 -1.830658  25.43745 0.9746487  # Slope based on biomass, using all species and sizes between 10g and 1000g slope_biomass <- getCommunitySlope(NS_sim, min_w = 10, max_w = 1000) slope_biomass[1, ] # in 1976 #>          slope intercept        r2 #> 1967 -1.526323  30.00691 0.9337066  # Slope based on biomass, using only demersal species and  # sizes between 10g and 1000g dem_species <- c(\"Dab\",\"Whiting\", \"Sole\", \"Gurnard\", \"Plaice\",                  \"Haddock\", \"Cod\", \"Saithe\") slope_biomass <- getCommunitySlope(NS_sim, species = dem_species,                                     min_w = 10, max_w = 1000) slope_biomass[1, ] # in 1976 #>           slope intercept        r2 #> 1967 -0.9704957  26.69254 0.8095734"},{"path":"https://sizespectrum.org/mizer/reference/getComponent.html","id":null,"dir":"Reference","previous_headings":"","what":"Get information about other ecosystem components — getComponent","title":"Get information about other ecosystem components — getComponent","text":"Get information ecosystem components","code":""},{"path":"https://sizespectrum.org/mizer/reference/getComponent.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get information about other ecosystem components — getComponent","text":"","code":"getComponent(params, component)"},{"path":"https://sizespectrum.org/mizer/reference/getComponent.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get information about other ecosystem components — getComponent","text":"params MizerParams object component Name component interest. missing, list components returned.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getComponent.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get information about other ecosystem components — getComponent","text":"list entries initial_value, dynamics_fun, encounter_fun, mort_fun, component_params requested component. requested component exist, NULL returned. component argument given, list lists components returned.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getCriticalFeedingLevel.html","id":null,"dir":"Reference","previous_headings":"","what":"Get critical feeding level — getCriticalFeedingLevel","title":"Get critical feeding level — getCriticalFeedingLevel","text":"critical feeding level feeding level food intake just high enough cover metabolic costs, nothing left growth reproduction.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getCriticalFeedingLevel.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get critical feeding level — getCriticalFeedingLevel","text":"","code":"getCriticalFeedingLevel(params)"},{"path":"https://sizespectrum.org/mizer/reference/getCriticalFeedingLevel.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get critical feeding level — getCriticalFeedingLevel","text":"params MizerParams object","code":""},{"path":"https://sizespectrum.org/mizer/reference/getCriticalFeedingLevel.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get critical feeding level — getCriticalFeedingLevel","text":"matrix (species x size) critical feeding level","code":""},{"path":"https://sizespectrum.org/mizer/reference/getCriticalFeedingLevel.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get critical feeding level — getCriticalFeedingLevel","text":"","code":"# \\donttest{ str(getFeedingLevel(NS_params)) #>  num [1:12, 1:100] 0.622 0.622 0.605 0.621 0.616 ... #>  - attr(*, \"dimnames\")=List of 2 #>   ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   ..$ w : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... # }"},{"path":"https://sizespectrum.org/mizer/reference/getDiet.html","id":null,"dir":"Reference","previous_headings":"","what":"Get diet of predator at size, resolved by prey species — getDiet","title":"Get diet of predator at size, resolved by prey species — getDiet","text":"Calculates rate predator particular species size consumes biomass prey species, resource, components ecosystem. Returns either rates grams/year proportion total consumption rate.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getDiet.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get diet of predator at size, resolved by prey species — getDiet","text":"","code":"getDiet(   params,   n = initialN(params),   n_pp = initialNResource(params),   n_other = initialNOther(params),   proportion = TRUE )"},{"path":"https://sizespectrum.org/mizer/reference/getDiet.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get diet of predator at size, resolved by prey species — getDiet","text":"params MizerParams object n matrix species abundances (species x size). n_pp vector resource abundance size n_other list abundances dynamical components ecosystem proportion TRUE (default) function returns diet proportion total consumption rate. FALSE returns consumption rate grams per year.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getDiet.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get diet of predator at size, resolved by prey species — getDiet","text":"array (predator species  x predator size x (prey species + resource + components). Dimnames \"prey\", \"w\", \"predator\".","code":""},{"path":"https://sizespectrum.org/mizer/reference/getDiet.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Get diet of predator at size, resolved by prey species — getDiet","text":"rates \\(D_{ij}(w)\\) predator species \\(\\) size \\(w\\) consumes biomass prey species \\(j\\) calculated predation kernel \\(\\phi_i(w, w_p)\\), search volume \\(\\gamma_i(w)\\), feeding level \\(f_i(w)\\), species interaction matrix \\(\\theta_{ij}\\) prey abundance density \\(N_j(w_p)\\): $$ D_{ij}(w, w_p) = (1-f_i(w)) \\gamma_i(w) \\theta_{ij} \\int N_j(w_p) \\phi_i(w, w_p) w_p dw_p. $$ prey index \\(j\\) runs species resource. Extra columns added external encounter rate extra ecosystem components model defined encounter rate function. encounter rates multiplied \\(1-f_i(w)\\) give rate consumption biomass extra components. function performs integration getEncounter() aggregate prey species, multiplies \\(1-f_i(w)\\) get consumed biomass rather available biomass. Outside range sizes predator species returned rate zero.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/getDiet.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get diet of predator at size, resolved by prey species — getDiet","text":"","code":"diet <- getDiet(NS_params) str(diet) #>  num [1:12, 1:100, 1:14] 8.94e-18 6.86e-19 3.46e-18 1.75e-09 1.12e-17 ... #>  - attr(*, \"dimnames\")=List of 3 #>   ..$ predator: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   ..$ w       : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... #>   ..$ prey    : chr [1:14] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ..."},{"path":"https://sizespectrum.org/mizer/reference/getEGrowth.html","id":null,"dir":"Reference","previous_headings":"","what":"Get energy rate available for growth — getEGrowth","title":"Get energy rate available for growth — getEGrowth","text":"Calculates energy rate \\(g_i(w)\\) (grams/year) available species size growth metabolism, movement reproduction accounted .","code":""},{"path":"https://sizespectrum.org/mizer/reference/getEGrowth.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get energy rate available for growth — getEGrowth","text":"","code":"getEGrowth(   params,   n = initialN(params),   n_pp = initialNResource(params),   n_other = initialNOther(params),   t = 0,   ... )"},{"path":"https://sizespectrum.org/mizer/reference/getEGrowth.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get energy rate available for growth — getEGrowth","text":"params MizerParams object n matrix species abundances (species x size). n_pp vector resource abundance size n_other list abundances dynamical components ecosystem t time calculation (used standard mizer rate functions useful extensions time-dependent parameters.) ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/getEGrowth.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get energy rate available for growth — getEGrowth","text":"two dimensional array (prey species x prey size)","code":""},{"path":"https://sizespectrum.org/mizer/reference/getEGrowth.html","id":"your-own-growth-rate-function","dir":"Reference","previous_headings":"","what":"Your own growth rate function","title":"Get energy rate available for growth — getEGrowth","text":"default getEGrowth() calls mizerEGrowth(). However can replace alternative growth rate function. function called \"myEGrowth\" register MizerParams object params   function called instead mizerEGrowth(), arguments.","code":"params <- setRateFunction(params, \"EGrowth\", \"myEGrowth\")"},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/getEGrowth.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get energy rate available for growth — getEGrowth","text":"","code":"# \\donttest{ params <- NS_params # Project with constant fishing effort for all gears for 20 time steps sim <- project(params, t_max = 20, effort = 0.5) # Get the energy at a particular time step growth <- getEGrowth(params, n = N(sim)[15, , ], n_pp = NResource(sim)[15, ], t = 15) # Growth rate at this time for Sprat of size 2g growth[\"Sprat\", \"2\"] #> [1] 4.706336 # }"},{"path":"https://sizespectrum.org/mizer/reference/getERepro.html","id":null,"dir":"Reference","previous_headings":"","what":"Get energy rate available for reproduction — getERepro","title":"Get energy rate available for reproduction — getERepro","text":"Calculates energy rate (grams/year) available reproduction growth metabolism accounted .","code":""},{"path":"https://sizespectrum.org/mizer/reference/getERepro.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get energy rate available for reproduction — getERepro","text":"","code":"getERepro(   params,   n = initialN(params),   n_pp = initialNResource(params),   n_other = initialNOther(params),   t = 0,   ... )"},{"path":"https://sizespectrum.org/mizer/reference/getERepro.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get energy rate available for reproduction — getERepro","text":"params MizerParams object n matrix species abundances (species x size). n_pp vector resource abundance size n_other list abundances dynamical components ecosystem t time calculation (used standard mizer rate functions useful extensions time-dependent parameters.) ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/getERepro.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get energy rate available for reproduction — getERepro","text":"two dimensional array (prey species x prey size) holding $$\\psi_i(w)E_{r.}(w)$$ \\(E_{r.}(w)\\) rate energy becomes available growth reproduction, calculated getEReproAndGrowth(), \\(\\psi_i(w)\\) proportion energy used reproduction. proportion taken params object set setReproduction().","code":""},{"path":"https://sizespectrum.org/mizer/reference/getERepro.html","id":"your-own-reproduction-rate-function","dir":"Reference","previous_headings":"","what":"Your own reproduction rate function","title":"Get energy rate available for reproduction — getERepro","text":"default getERepro() calls mizerERepro(). However can replace alternative reproduction rate function. function called \"myERepro\" register MizerParams object params   function called instead mizerERepro(), arguments.","code":"params <- setRateFunction(params, \"ERepro\", \"myERepro\")"},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/getERepro.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get energy rate available for reproduction — getERepro","text":"","code":"# \\donttest{ params <- NS_params # Project with constant fishing effort for all gears for 20 time steps sim <- project(params, t_max = 20, effort = 0.5) # Get the rate at a particular time step erepro <- getERepro(params, n = N(sim)[15, , ], n_pp = NResource(sim)[15, ], t = 15) # Rate at this time for Sprat of size 2g erepro[\"Sprat\", \"2\"] #> [1] 0 # }"},{"path":"https://sizespectrum.org/mizer/reference/getEReproAndGrowth.html","id":null,"dir":"Reference","previous_headings":"","what":"Get energy rate available for reproduction and growth — getEReproAndGrowth","title":"Get energy rate available for reproduction and growth — getEReproAndGrowth","text":"Calculates energy rate \\(E_{r.}(w)\\) (grams/year) available reproduction growth metabolism movement accounted .","code":""},{"path":"https://sizespectrum.org/mizer/reference/getEReproAndGrowth.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get energy rate available for reproduction and growth — getEReproAndGrowth","text":"","code":"getEReproAndGrowth(   params,   n = initialN(params),   n_pp = initialNResource(params),   n_other = initialNOther(params),   t = 0,   ... )"},{"path":"https://sizespectrum.org/mizer/reference/getEReproAndGrowth.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get energy rate available for reproduction and growth — getEReproAndGrowth","text":"params MizerParams object n matrix species abundances (species x size). n_pp vector resource abundance size n_other list abundances dynamical components ecosystem t time calculation (used standard mizer rate functions useful extensions time-dependent parameters.) ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/getEReproAndGrowth.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get energy rate available for reproduction and growth — getEReproAndGrowth","text":"two dimensional array (species x size) holding $$E_{r.}(w) = \\max(0, \\alpha_i\\, (1 - {\\tt feeding\\_level}_i(w))\\,                            {\\tt encounter}_i(w) - {\\tt metab}_i(w)).$$ Due form feeding level, calculated getFeedingLevel(), feeding level nonzero can also expressed $$E_{r.}(w) = \\max(0, \\alpha_i\\, {\\tt feeding\\_level}_i(w)\\,                            h_i(w) - {\\tt metab}_i(w))$$ \\(h_i\\) maximum intake rate, set setMaxIntakeRate(). However function using first equation works also maximum intake rate infinite, .e., satiation. assimilation rate \\(\\alpha_i\\) taken species parameter data frame params. metabolic rate metab taken params set setMetabolicRate(). return value can negative, means energy intake cover cost metabolism movement.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getEReproAndGrowth.html","id":"your-own-energy-rate-function","dir":"Reference","previous_headings":"","what":"Your own energy rate function","title":"Get energy rate available for reproduction and growth — getEReproAndGrowth","text":"default getEReproAndGrowth() calls mizerEReproAndGrowth(). However can replace alternative energy rate function. function called \"myEReproAndGrowth\" register MizerParams object params   function called instead mizerEReproAndGrowth(), arguments.","code":"params <- setRateFunction(params, \"EReproAndGrowth\", \"myEReproAndGrowth\")"},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/getEReproAndGrowth.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get energy rate available for reproduction and growth — getEReproAndGrowth","text":"","code":"# \\donttest{ params <- NS_params # Project with constant fishing effort for all gears for 20 time steps sim <- project(params, t_max = 20, effort = 0.5) # Get the energy at a particular time step e <- getEReproAndGrowth(params, n = N(sim)[15, , ],                          n_pp = NResource(sim)[15, ], t = 15) # Rate at this time for Sprat of size 2g e[\"Sprat\", \"2\"] #> [1] 4.706336 # }"},{"path":"https://sizespectrum.org/mizer/reference/getESpawning.html","id":null,"dir":"Reference","previous_headings":"","what":"Alias for getERepro() — getESpawning","title":"Alias for getERepro() — getESpawning","text":"alias provided backward compatibility mizer version <= 1.0","code":""},{"path":"https://sizespectrum.org/mizer/reference/getESpawning.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Alias for getERepro() — getESpawning","text":"","code":"getESpawning(   params,   n = initialN(params),   n_pp = initialNResource(params),   n_other = initialNOther(params),   t = 0,   ... )"},{"path":"https://sizespectrum.org/mizer/reference/getESpawning.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Alias for getERepro() — getESpawning","text":"params MizerParams object n matrix species abundances (species x size). n_pp vector resource abundance size n_other list abundances dynamical components ecosystem t time calculation (used standard mizer rate functions useful extensions time-dependent parameters.) ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/getESpawning.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Alias for getERepro() — getESpawning","text":"two dimensional array (prey species x prey size) holding $$\\psi_i(w)E_{r.}(w)$$ \\(E_{r.}(w)\\) rate energy becomes available growth reproduction, calculated getEReproAndGrowth(), \\(\\psi_i(w)\\) proportion energy used reproduction. proportion taken params object set setReproduction().","code":""},{"path":"https://sizespectrum.org/mizer/reference/getESpawning.html","id":"your-own-reproduction-rate-function","dir":"Reference","previous_headings":"","what":"Your own reproduction rate function","title":"Alias for getERepro() — getESpawning","text":"default getERepro() calls mizerERepro(). However can replace alternative reproduction rate function. function called \"myERepro\" register MizerParams object params   function called instead mizerERepro(), arguments.","code":"params <- setRateFunction(params, \"ERepro\", \"myERepro\")"},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/getESpawning.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Alias for getERepro() — getESpawning","text":"","code":"# \\donttest{ params <- NS_params # Project with constant fishing effort for all gears for 20 time steps sim <- project(params, t_max = 20, effort = 0.5) # Get the rate at a particular time step erepro <- getERepro(params, n = N(sim)[15, , ], n_pp = NResource(sim)[15, ], t = 15) # Rate at this time for Sprat of size 2g erepro[\"Sprat\", \"2\"] #> [1] 0 # }"},{"path":"https://sizespectrum.org/mizer/reference/getEffort.html","id":null,"dir":"Reference","previous_headings":"","what":"Fishing effort used in simulation — getEffort","title":"Fishing effort used in simulation — getEffort","text":"Note array returned may exactly effort argument passed project(). saved effort stored (frequency saving determined argument t_save).","code":""},{"path":"https://sizespectrum.org/mizer/reference/getEffort.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Fishing effort used in simulation — getEffort","text":"","code":"getEffort(sim)"},{"path":"https://sizespectrum.org/mizer/reference/getEffort.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Fishing effort used in simulation — getEffort","text":"sim MizerSim object","code":""},{"path":"https://sizespectrum.org/mizer/reference/getEffort.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Fishing effort used in simulation — getEffort","text":"array (time x gear) contains fishing effort time gear.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getEffort.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Fishing effort used in simulation — getEffort","text":"","code":"str(getEffort(NS_sim)) #>  num [1:44, 1:12] 0 0 0 0 0 0 0 0 0 0 ... #>  - attr(*, \"dimnames\")=List of 2 #>   ..$ time: chr [1:44] \"1967\" \"1968\" \"1969\" \"1970\" ... #>   ..$ gear: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ..."},{"path":"https://sizespectrum.org/mizer/reference/getEncounter.html","id":null,"dir":"Reference","previous_headings":"","what":"Get encounter rate — getEncounter","title":"Get encounter rate — getEncounter","text":"Returns rate predator species \\(\\) weight \\(w\\) encounters food (grams/year).","code":""},{"path":"https://sizespectrum.org/mizer/reference/getEncounter.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get encounter rate — getEncounter","text":"","code":"getEncounter(   params,   n = initialN(params),   n_pp = initialNResource(params),   n_other = initialNOther(params),   t = 0,   ... )"},{"path":"https://sizespectrum.org/mizer/reference/getEncounter.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get encounter rate — getEncounter","text":"params MizerParams object n matrix species abundances (species x size). n_pp vector resource abundance size n_other list abundances dynamical components ecosystem t time calculation (used standard mizer rate functions useful extensions time-dependent parameters.) ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/getEncounter.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get encounter rate — getEncounter","text":"named two dimensional array (predator species x predator size) encounter rates.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getEncounter.html","id":"predation-encounter","dir":"Reference","previous_headings":"","what":"Predation encounter","title":"Get encounter rate — getEncounter","text":"encounter rate \\(E_i(w)\\) predator species \\(\\) weight \\(w\\) encounters food contributions encounter fish prey resource. determined summing prey species resource spectrum integrating prey sizes \\(w_p\\), weighted predation kernel \\(\\phi(w,w_p)\\): $$ E_i(w) = \\gamma_i(w) \\int \\left( \\theta_{ip} N_R(w_p) + \\sum_{j} \\theta_{ij} N_j(w_p) \\right) \\phi_i(w,w_p) w_p \\, dw_p. $$ \\(N_j(w)\\) abundance density species \\(j\\) \\(N_R(w)\\) abundance density resource. overall prefactor \\(\\gamma_i(w)\\) determines predation power predator. interpreted search volume set setSearchVolume() function. predation kernel \\(\\phi(w,w_p)\\) set setPredKernel() function. species interaction matrix \\(\\theta_{ij}\\) set setInteraction() resource interaction vector \\(\\theta_{ip}\\) taken interaction_resource column params@species_params.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getEncounter.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Get encounter rate — getEncounter","text":"encounter rate multiplied \\(1-f_0\\) obtain consumption rate, \\(f_0\\) feeding level calculated getFeedingLevel(). used project() function performing simulations. function returns values also sizes outside size-range species. values used, meaningless. model contains additional components added setComponent() specified encounter_fun function encounters components included returned value.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getEncounter.html","id":"your-own-encounter-function","dir":"Reference","previous_headings":"","what":"Your own encounter function","title":"Get encounter rate — getEncounter","text":"default getEncounter() calls mizerEncounter(). However can replace alternative encounter function. function called \"myEncounter\" register MizerParams object params   function called instead mizerEncounter(), arguments.","code":"params <- setRateFunction(params, \"Encounter\", \"myEncounter\")"},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/getEncounter.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get encounter rate — getEncounter","text":"","code":"encounter <- getEncounter(NS_params) str(encounter) #>  num [1:12, 1:100] 0.299 0.453 0.502 0.575 0.492 ... #>  - attr(*, \"dimnames\")=List of 2 #>   ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   ..$ w : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ..."},{"path":"https://sizespectrum.org/mizer/reference/getFMort.html","id":null,"dir":"Reference","previous_headings":"","what":"Get the total fishing mortality rate from all fishing gears by time, species and size. — getFMort","title":"Get the total fishing mortality rate from all fishing gears by time, species and size. — getFMort","text":"Calculates total fishing mortality  (units 1/year) gears species size possibly time. See setFishing() details fishing gears set .","code":""},{"path":"https://sizespectrum.org/mizer/reference/getFMort.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get the total fishing mortality rate from all fishing gears by time, species and size. — getFMort","text":"","code":"getFMort(object, effort, time_range, drop = TRUE)"},{"path":"https://sizespectrum.org/mizer/reference/getFMort.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get the total fishing mortality rate from all fishing gears by time, species and size. — getFMort","text":"object MizerParams object MizerSim object effort effort fishing gear. used object argument class MizerParams. See notes . time_range Subset returned fishing mortalities time. time range either vector values, vector min max time, single value. Default whole time range. used object argument type MizerSim. drop used object type MizerSim. dimensions length 1 dropped, e.g. community one species might make presentation results easier. Default TRUE.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getFMort.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get the total fishing mortality rate from all fishing gears by time, species and size. — getFMort","text":"array. effort argument time dimension, object class MizerSim, output array three dimensions (time x species x size). effort argument time dimension, output array two dimensions (species x size). effort argument used MizerParams object passed . effort argument can two dimensional array (time x gear), vector length equal number gears (gear different effort constant time), single numeric value (gear effort constant time). order gears effort argument must MizerParams object. object argument class MizerSim effort slot MizerSim object used effort argument used.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getFMort.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Get the total fishing mortality rate from all fishing gears by time, species and size. — getFMort","text":"total fishing mortality just sum fishing mortalities imposed gear, \\(F_i(w)=\\sum_g F_{g,,w}\\). fishing mortality gear obtained catchability x selectivity x effort.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getFMort.html","id":"your-own-fishing-mortality-function","dir":"Reference","previous_headings":"","what":"Your own fishing mortality function","title":"Get the total fishing mortality rate from all fishing gears by time, species and size. — getFMort","text":"default getFMort() calls mizerFMort(). However can replace alternative fishing mortality function. function called \"myFMort\" register MizerParams object params   function called instead mizerFMort(), arguments.","code":"params <- setRateFunction(params, \"FMort\", \"myFMort\")"},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/getFMort.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get the total fishing mortality rate from all fishing gears by time, species and size. — getFMort","text":"","code":"# \\donttest{ params <- NS_params # Get the total fishing mortality in the initial state F <- getFMort(params, effort = 1) str(F) #>  num [1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ... #>  - attr(*, \"dimnames\")=List of 2 #>   ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   ..$ w : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... # Get the initial total fishing mortality when effort is different # between the four gears: F <- getFMort(params, effort = c(0.5,1,1.5,0.75)) # Get the total fishing mortality when effort is different # between the four gears and changes with time: effort <- array(NA, dim = c(20,4)) effort[, 1] <- seq(from = 0, to = 1, length = 20) effort[, 2] <- seq(from = 1, to = 0.5, length = 20) effort[, 3] <- seq(from = 1, to = 2, length = 20) effort[, 4] <- seq(from = 2, to = 1, length = 20) F <- getFMort(params, effort = effort) str(F) #>  num [1:20, 1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ... #>  - attr(*, \"dimnames\")=List of 3 #>   ..$ time: NULL #>   ..$ sp  : chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   ..$ w   : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... # Get the total fishing mortality using the effort already held in a  # MizerSim object. sim <- project(params, t_max = 20, effort = 0.5) F <- getFMort(sim) F <- getFMort(sim, time_range = c(10, 20)) # }"},{"path":"https://sizespectrum.org/mizer/reference/getFMortGear.html","id":null,"dir":"Reference","previous_headings":"","what":"Get the fishing mortality by time, gear, species and size — getFMortGear","title":"Get the fishing mortality by time, gear, species and size — getFMortGear","text":"Calculates fishing mortality rate \\(F_{g,,w}\\) gear, species size possibly time (units 1/year).","code":""},{"path":"https://sizespectrum.org/mizer/reference/getFMortGear.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get the fishing mortality by time, gear, species and size — getFMortGear","text":"","code":"getFMortGear(object, effort, time_range)"},{"path":"https://sizespectrum.org/mizer/reference/getFMortGear.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get the fishing mortality by time, gear, species and size — getFMortGear","text":"object MizerParams object MizerSim object. effort effort fishing gear. See notes . time_range Subset returned fishing mortalities time. time range either vector values, vector min max time, single value. Default whole time range. used object argument type MizerSim.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getFMortGear.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get the fishing mortality by time, gear, species and size — getFMortGear","text":"array. effort argument time dimension, MizerSim passed , output array four dimensions (time x gear x species x size). effort argument time dimension (.e. vector single numeric), output array three dimensions (gear x species x size).","code":""},{"path":"https://sizespectrum.org/mizer/reference/getFMortGear.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"Get the fishing mortality by time, gear, species and size — getFMortGear","text":": fishing mortality = catchability x selectivity x effort. effort argument used MizerParams object passed . effort argument can two dimensional array (time x gear), vector length equal number gears (gear different effort constant time), single numeric value (gear effort constant time). order gears effort argument must MizerParams object. effort argument supplied, value taken @initial_effort slot params object. object argument class MizerSim effort slot MizerSim object used effort argument used.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/getFMortGear.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get the fishing mortality by time, gear, species and size — getFMortGear","text":"","code":"# \\donttest{ params <-NS_params # Get the fishing mortality in initial state F <- getFMortGear(params, effort = 1) str(F) #>  num [1:4, 1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ... #>  - attr(*, \"dimnames\")=List of 3 #>   ..$ gear: chr [1:4] \"Industrial\" \"Pelagic\" \"Beam\" \"Otter\" #>   ..$ sp  : chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   ..$ w   : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... # Get the initial fishing mortality when effort is different # between the four gears: F <- getFMortGear(params, effort = c(0.5, 1, 1.5, 0.75)) # Get the fishing mortality when effort is different # between the four gears and changes with time: effort <- array(NA, dim = c(20, 4)) effort[, 1] <- seq(from=0, to = 1, length = 20) effort[, 2] <- seq(from=1, to = 0.5, length = 20) effort[, 3] <- seq(from=1, to = 2, length = 20) effort[, 4] <- seq(from=2, to = 1, length = 20) F <- getFMortGear(params, effort = effort) str(F) #>  num [1:20, 1:4, 1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ... #>  - attr(*, \"dimnames\")=List of 4 #>   ..$ time: NULL #>   ..$ gear: chr [1:4] \"Industrial\" \"Pelagic\" \"Beam\" \"Otter\" #>   ..$ sp  : chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   ..$ w   : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... # Get the fishing mortality using the effort already held in a MizerSim object. sim <- project(params, t_max = 20, effort = 0.5) F <- getFMortGear(sim) F <- getFMortGear(sim, time_range = c(10, 20)) # }"},{"path":"https://sizespectrum.org/mizer/reference/getFeedingLevel.html","id":null,"dir":"Reference","previous_headings":"","what":"Get feeding level — getFeedingLevel","title":"Get feeding level — getFeedingLevel","text":"Returns feeding level. default function uses mizerFeedingLevel() calculate feeding level, can overruled via setRateFunction().","code":""},{"path":"https://sizespectrum.org/mizer/reference/getFeedingLevel.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get feeding level — getFeedingLevel","text":"","code":"getFeedingLevel(object, n, n_pp, n_other, time_range, drop = FALSE, ...)"},{"path":"https://sizespectrum.org/mizer/reference/getFeedingLevel.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get feeding level — getFeedingLevel","text":"object MizerParams object MizerSim object n matrix species abundances (species x size). n_pp vector resource abundance size n_other list abundances dynamical components ecosystem time_range vector times. range times relevant, .e., times smallest largest selected. time_range can character numeric. drop TRUE dimension length 1 removed returned array. ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/getFeedingLevel.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get feeding level — getFeedingLevel","text":"MizerParams object passed , function returns two dimensional array (predator species x predator size) based abundances also passed . MizerSim object passed , function returns three dimensional array (time step x predator species x predator size) feeding level calculated every time step simulation. drop = TRUE dimension length 1 removed returned array.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getFeedingLevel.html","id":"feeding-level","dir":"Reference","previous_headings":"","what":"Feeding level","title":"Get feeding level — getFeedingLevel","text":"feeding level \\(f_i(w)\\) proportion maximum intake rate predator actually taking fish. calculated encounter rate \\(E_i\\) maximum intake rate \\(h_i(w)\\) $$f_i(w) = \\frac{E_i(w)}{E_i(w)+h_i(w)}.$$ encounter rate \\(E_i\\) passed argument calculated getEncounter(). maximum intake rate \\(h_i(w)\\) taken params object, set setMaxIntakeRate(). consequence expression feeding level, \\(1-f_i(w)\\) proportion food available predator actually consumes.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getFeedingLevel.html","id":"your-own-feeding-level-function","dir":"Reference","previous_headings":"","what":"Your own feeding level function","title":"Get feeding level — getFeedingLevel","text":"default getFeedingLevel() calls mizerFeedingLevel(). However can replace alternative feeding level function. function called \"myFeedingLevel\" register MizerParams object params   function called instead mizerFeedingLevel(), arguments.","code":"params <- setRateFunction(params, \"FeedingLevel\", \"myFeedingLevel\")"},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/getFeedingLevel.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get feeding level — getFeedingLevel","text":"","code":"# \\donttest{ params <- NS_params # Get initial feeding level fl <- getFeedingLevel(params) # Project with constant fishing effort for all gears for 20 time steps sim <- project(params, t_max = 20, effort = 0.5) # Get the feeding level at all saved time steps fl <- getFeedingLevel(sim) # Get the feeding level for years 15 - 20 fl <- getFeedingLevel(sim, time_range = c(15, 20)) # }"},{"path":"https://sizespectrum.org/mizer/reference/getGrowthCurves.html","id":null,"dir":"Reference","previous_headings":"","what":"Get growth curves giving weight as a function of age — getGrowthCurves","title":"Get growth curves giving weight as a function of age — getGrowthCurves","text":"Get growth curves giving weight function age","code":""},{"path":"https://sizespectrum.org/mizer/reference/getGrowthCurves.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get growth curves giving weight as a function of age — getGrowthCurves","text":"","code":"getGrowthCurves(object, species = NULL, max_age = 20, percentage = FALSE)"},{"path":"https://sizespectrum.org/mizer/reference/getGrowthCurves.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get growth curves giving weight as a function of age — getGrowthCurves","text":"object MizerSim MizerParams object. given MizerSim object, uses growth rates final time simulation calculate size age. given MizerParams object, uses initial growth rates instead. species species selected. Optional. default target species selected. vector species names, numeric vector species indices, logical vector indicating species whether selected (TRUE) . max_age age run growth curve. Default 20. percentage Boolean value. TRUE, size given percentage maximal size.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getGrowthCurves.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get growth curves giving weight as a function of age — getGrowthCurves","text":"array (species x age) containing weight grams.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/getGrowthCurves.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get growth curves giving weight as a function of age — getGrowthCurves","text":"","code":"growth_curves <- getGrowthCurves(NS_params, species = c(\"Cod\", \"Haddock\")) str(growth_curves) #>  num [1:2, 1:50] 0.001 0.001 0.87 2.546 4.499 ... #>  - attr(*, \"dimnames\")=List of 2 #>   ..$ Species: chr [1:2] \"Haddock\" \"Cod\" #>   ..$ Age    : chr [1:50] \"0\" \"0.408163265306122\" \"0.816326530612245\" \"1.22448979591837\" ...  library(ggplot2) ggplot(melt(growth_curves)) +   geom_line(aes(Age, value)) +   facet_wrap(~ Species, scales = \"free\") +   ylab(\"Size[g]\") + xlab(\"Age[years]\")"},{"path":"https://sizespectrum.org/mizer/reference/getInteraction.html","id":null,"dir":"Reference","previous_headings":"","what":"Deprecated function to get interaction matrix — getInteraction","title":"Deprecated function to get interaction matrix — getInteraction","text":"now use interaction_matrix() instead.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getInteraction.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Deprecated function to get interaction matrix — getInteraction","text":"","code":"getInteraction(params)"},{"path":"https://sizespectrum.org/mizer/reference/getInteraction.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Deprecated function to get interaction matrix — getInteraction","text":"params MizerParams object","code":""},{"path":"https://sizespectrum.org/mizer/reference/getM2.html","id":null,"dir":"Reference","previous_headings":"","what":"Alias for getPredMort() — getM2","title":"Alias for getPredMort() — getM2","text":"alias provided backward compatibility mizer version <= 1.0","code":""},{"path":"https://sizespectrum.org/mizer/reference/getM2.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Alias for getPredMort() — getM2","text":"","code":"getM2(object, n, n_pp, n_other, time_range, drop = TRUE, ...)"},{"path":"https://sizespectrum.org/mizer/reference/getM2.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Alias for getPredMort() — getM2","text":"object MizerParams object MizerSim object n matrix species abundances (species x size). n_pp vector resource abundance size n_other list abundances dynamical components ecosystem time_range vector times. range times relevant, .e., times smallest largest selected. time_range can character numeric. drop TRUE dimension length 1 removed returned array. ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/getM2.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Alias for getPredMort() — getM2","text":"MizerParams object passed , function returns two dimensional array (prey species x prey size) based abundances also passed . MizerSim object passed , function returns three dimensional array (time step x prey species x prey size) predation mortality calculated every time step simulation. Dimensions may dropped length 1 unless drop = FALSE.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getM2.html","id":"your-own-predation-mortality-function","dir":"Reference","previous_headings":"","what":"Your own predation mortality function","title":"Alias for getPredMort() — getM2","text":"default getPredMort() calls mizerPredMort(). However can replace alternative predation mortality function. function called \"myPredMort\" register MizerParams object params   function called instead mizerPredMort(), arguments.","code":"params <- setRateFunction(params, \"PredMort\", \"myPredMort\")"},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/getM2.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Alias for getPredMort() — getM2","text":"","code":"# \\donttest{ params <- NS_params # Predation mortality in initial state M2 <- getPredMort(params) str(M2) #>  num [1:12, 1:100] 3.64 4.43 4.31 4.89 4.8 ... #>  - attr(*, \"dimnames\")=List of 2 #>   ..$ prey  : chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   ..$ w_prey: chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... # With constant fishing effort for all gears for 20 time steps sim <- project(params, t_max = 20, effort = 0.5) # Get predation mortality at one time step M2 <- getPredMort(params, n = N(sim)[15, , ], n_pp = NResource(sim)[15, ]) # Get predation mortality at all saved time steps M2 <- getPredMort(sim) str(M2) #>  num [1:21, 1:12, 1:100] 3.64 3.42 3.29 3.2 3.16 ... #>  - attr(*, \"dimnames\")=List of 3 #>   ..$ time  : chr [1:21] \"0\" \"1\" \"2\" \"3\" ... #>   ..$ prey  : chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   ..$ w_prey: chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... # Get predation mortality over the years 15 - 20 M2 <- getPredMort(sim, time_range = c(15, 20)) # }"},{"path":"https://sizespectrum.org/mizer/reference/getM2Background.html","id":null,"dir":"Reference","previous_headings":"","what":"Alias for getResourceMort() — getM2Background","title":"Alias for getResourceMort() — getM2Background","text":"alias provided backward compatibility mizer version <= 1.0","code":""},{"path":"https://sizespectrum.org/mizer/reference/getM2Background.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Alias for getResourceMort() — getM2Background","text":"","code":"getM2Background(   params,   n = initialN(params),   n_pp = initialNResource(params),   n_other = initialNOther(params),   t = 0,   ... )"},{"path":"https://sizespectrum.org/mizer/reference/getM2Background.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Alias for getResourceMort() — getM2Background","text":"params MizerParams object n matrix species abundances (species x size). n_pp vector resource abundance size n_other list abundances dynamical components ecosystem t time calculation (used standard mizer rate functions useful extensions time-dependent parameters.) ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/getM2Background.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Alias for getResourceMort() — getM2Background","text":"vector mortality rate resource size.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getM2Background.html","id":"your-own-resource-mortality-function","dir":"Reference","previous_headings":"","what":"Your own resource mortality function","title":"Alias for getResourceMort() — getM2Background","text":"default getResourceMort() calls mizerResourceMort(). However can replace alternative resource mortality function. function called \"myResourceMort\" register MizerParams object params   function called instead mizerResourceMort(), arguments.","code":"params <- setRateFunction(params, \"ResourceMort\", \"myResourceMort\")"},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/getM2Background.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Alias for getResourceMort() — getM2Background","text":"","code":"# \\donttest{ params <- NS_params # With constant fishing effort for all gears for 20 time steps sim <- project(params, t_max = 20, effort = 0.5) # Get resource mortality at one time step getResourceMort(params, n = N(sim)[15, , ], n_pp = NResource(sim)[15, ]) #>     2.12e-13     2.53e-13     3.02e-13     3.61e-13      4.3e-13     5.14e-13  #> 1.191600e-05 1.465460e-05 1.798292e-05 2.201903e-05 2.690274e-05 3.279930e-05  #>     6.13e-13     7.31e-13     8.73e-13     1.04e-12     1.24e-12     1.48e-12  #> 3.990356e-05 4.844483e-05 5.869238e-05 7.096180e-05 8.562223e-05 1.031046e-04  #>     1.77e-12     2.11e-12     2.52e-12     3.01e-12     3.59e-12     4.28e-12  #> 1.239110e-04 1.486254e-04 1.779260e-04 2.125986e-04 2.535523e-04 3.018375e-04  #>     5.11e-12      6.1e-12     7.28e-12     8.69e-12     1.04e-11     1.24e-11  #> 3.586655e-04 4.254310e-04 5.037376e-04 5.954260e-04 7.026065e-04 8.276945e-04  #>     1.48e-11     1.76e-11      2.1e-11     2.51e-11     2.99e-11     3.57e-11  #> 9.734509e-04 1.143027e-03 1.340016e-03 1.568506e-03 1.833146e-03 2.139215e-03  #>     4.26e-11     5.09e-11     6.07e-11     7.25e-11     8.65e-11     1.03e-10  #> 2.492696e-03 2.900367e-03 3.369892e-03 3.909929e-03 4.530249e-03 5.241863e-03  #>     1.23e-10     1.47e-10     1.75e-10     2.09e-10      2.5e-10     2.98e-10  #> 6.057169e-03 6.990113e-03 8.056368e-03 9.273534e-03 1.066136e-02 1.224199e-02  #>     3.56e-10     4.25e-10     5.07e-10     6.05e-10     7.21e-10     8.61e-10  #> 1.404025e-02 1.608396e-02 1.840426e-02 2.103607e-02 2.401848e-02 2.739529e-02  #>     1.03e-09     1.23e-09     1.46e-09     1.75e-09     2.08e-09     2.49e-09  #> 3.121561e-02 3.553457e-02 4.041409e-02 4.592387e-02 5.214254e-02 5.915897e-02  #>     2.97e-09     3.54e-09     4.23e-09     5.04e-09     6.02e-09     7.18e-09  #> 6.707381e-02 7.600133e-02 8.607129e-02 9.743112e-02 1.102481e-01 1.247118e-01  #>     8.57e-09     1.02e-08     1.22e-08     1.46e-08     1.74e-08     2.07e-08  #> 1.410363e-01 1.594636e-01 1.802665e-01 2.037529e-01 2.302707e-01 2.602140e-01  #>     2.48e-08     2.95e-08     3.53e-08     4.21e-08     5.02e-08     5.99e-08  #> 2.940298e-01 3.322254e-01 3.753760e-01 4.241321e-01 4.792265e-01 5.414796e-01  #>     7.15e-08     8.53e-08     1.02e-07     1.22e-07     1.45e-07     1.73e-07  #> 6.118044e-01 6.912085e-01 7.807945e-01 8.817570e-01 9.953761e-01 1.123005e+00  #>     2.07e-07     2.46e-07     2.94e-07     3.51e-07     4.19e-07        5e-07  #> 1.266056e+00 1.425971e+00 1.604200e+00 1.802155e+00 2.021173e+00 2.262461e+00  #>     5.96e-07     7.12e-07     8.49e-07     1.01e-06     1.21e-06     1.44e-06  #> 2.527036e+00 2.815672e+00 3.128828e+00 3.466589e+00 3.828609e+00 4.214051e+00  #>     1.72e-06     2.06e-06     2.45e-06     2.93e-06     3.49e-06     4.17e-06  #> 4.621551e+00 5.049193e+00 5.494492e+00 5.954415e+00 6.425412e+00 6.903482e+00  #>     4.98e-06     5.94e-06     7.09e-06     8.46e-06     1.01e-05      1.2e-05  #> 7.384253e+00 7.863102e+00 8.335280e+00 8.796067e+00 9.240932e+00 9.665706e+00  #>     1.44e-05     1.71e-05     2.05e-05     2.44e-05     2.91e-05     3.48e-05  #> 1.006675e+01 1.044112e+01 1.078672e+01 1.110244e+01 1.138819e+01 1.164500e+01  #>     4.15e-05     4.95e-05     5.91e-05     7.05e-05     8.42e-05        1e-04  #> 1.187490e+01 1.208070e+01 1.226570e+01 1.243314e+01 1.258558e+01 1.272433e+01  #>      0.00012     0.000143     0.000171     0.000204     0.000243      0.00029  #> 1.284898e+01 1.295739e+01 1.304607e+01 1.311126e+01 1.315020e+01 1.316268e+01  #>     0.000346     0.000413     0.000493     0.000588     0.000702     0.000838  #> 1.315211e+01 1.312594e+01 1.309514e+01 1.307283e+01 1.307241e+01 1.310551e+01  #>        0.001      0.00119      0.00142       0.0017      0.00203      0.00242  #> 1.317995e+01 1.330042e+01 1.346681e+01 1.367535e+01 1.391969e+01 1.419202e+01  #>      0.00289      0.00345      0.00411      0.00491      0.00586      0.00699  #> 1.448407e+01 1.478786e+01 1.509615e+01 1.540257e+01 1.570168e+01 1.598885e+01  #>      0.00834      0.00995       0.0119       0.0142       0.0169       0.0202  #> 1.626016e+01 1.651232e+01 1.674253e+01 1.694847e+01 1.712823e+01 1.728027e+01  #>       0.0241       0.0288       0.0343       0.0409       0.0489       0.0583  #> 1.740341e+01 1.749673e+01 1.755959e+01 1.759152e+01 1.759215e+01 1.756122e+01  #>       0.0696        0.083       0.0991        0.118        0.141        0.168  #> 1.749844e+01 1.740347e+01 1.727591e+01 1.711521e+01 1.692075e+01 1.669182e+01  #>        0.201         0.24        0.286        0.342        0.408        0.486  #> 1.642767e+01 1.612762e+01 1.579110e+01 1.541784e+01 1.500795e+01 1.456207e+01  #>         0.58        0.693        0.827        0.987         1.18          1.4  #> 1.408146e+01 1.356818e+01 1.302509e+01 1.245594e+01 1.186536e+01 1.125883e+01  #>         1.68            2         2.39         2.85          3.4         4.06  #> 1.064257e+01 1.002339e+01 9.408524e+00 8.805382e+00 8.221287e+00 7.663203e+00  #>         4.84         5.78          6.9         8.23         9.82         11.7  #> 7.137449e+00 6.649430e+00 6.203383e+00 5.802174e+00 5.447164e+00 5.138144e+00  #>           14         16.7         19.9         23.8         28.4         33.8  #> 4.873209e+00 4.648827e+00 4.458701e+00 4.293528e+00 4.147438e+00 4.025062e+00  #>         40.4         48.2         57.5         68.7         81.9         97.8  #> 3.923228e+00 3.833172e+00 3.745724e+00 3.652449e+00 3.546606e+00 3.423801e+00  #>          117          139          166          198          237          282  #> 3.281837e+00 3.119213e+00 2.937145e+00 2.737836e+00 2.524583e+00 2.301380e+00  #>          337          402          480          573          683          816  #> 2.072726e+00 1.843382e+00 1.618080e+00 1.401232e+00 1.196692e+00 1.007558e+00  #>          973         1160         1390         1650         1970         2360  #> 8.360481e-01 6.835105e-01 5.504124e-01 4.364156e-01 3.406147e-01 2.616301e-01  #>         2810         3350         4000         4780         5700         6800  #> 1.977202e-01 1.469509e-01 1.073462e-01 7.700117e-02 5.416234e-02 3.728088e-02  #>         8120         9690        11600        13800        16500        19600  #> 2.503301e-02 1.632133e-02 1.026069e-02 6.153628e-03 3.461409e-03 1.775429e-03  #>        23400        28000        33400        39900  #> 7.899871e-04 2.759636e-04 5.803739e-05 3.902282e-16  # }"},{"path":"https://sizespectrum.org/mizer/reference/getMeanMaxWeight.html","id":null,"dir":"Reference","previous_headings":"","what":"Calculate the mean maximum weight of the community — getMeanMaxWeight","title":"Calculate the mean maximum weight of the community — getMeanMaxWeight","text":"Calculates mean maximum weight community time. can calculated numbers biomass. calculation sum w_max * abundance species, divided total abundance community, abundance either biomass numbers. can specify minimum maximum weight length range species. Lengths take precedence weights (.e. min_l min_w supplied, min_l used). can also specify species used calculation.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getMeanMaxWeight.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Calculate the mean maximum weight of the community — getMeanMaxWeight","text":"","code":"getMeanMaxWeight(sim, species = NULL, measure = \"both\", ...)"},{"path":"https://sizespectrum.org/mizer/reference/getMeanMaxWeight.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Calculate the mean maximum weight of the community — getMeanMaxWeight","text":"sim MizerSim object species species selected. Optional. default target species selected. vector species names, numeric vector species indices, logical vector indicating species whether selected (TRUE) . measure measure return. Can 'numbers', 'biomass' '' ... Arguments passed get_size_range_array min_w Smallest weight size range. Defaults smallest weight model. max_w Largest weight size range. Defaults largest weight model. min_l Smallest length size range. supplied, takes precedence min_w. max_l Largest length size range. supplied, takes precedence max_w.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getMeanMaxWeight.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Calculate the mean maximum weight of the community — getMeanMaxWeight","text":"Depends measure argument. measure = “”   get matrix two columns, one values numbers, values biomass saved time step. measure =   “numbers” “biomass” get vector respective values saved time step.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/getMeanMaxWeight.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Calculate the mean maximum weight of the community — getMeanMaxWeight","text":"","code":"mmw <- getMeanMaxWeight(NS_sim) years <- c(\"1967\", \"2010\") mmw[years, ] #>      mmw_numbers mmw_biomass #> 1967    2640.075   10980.365 #> 2010    2716.657    7940.787 getMeanMaxWeight(NS_sim, species=c(\"Herring\",\"Sprat\",\"N.pout\"))[years, ] #>      mmw_numbers mmw_biomass #> 1967    12.68424    20.07675 #> 2010    10.46315    22.66197 getMeanMaxWeight(NS_sim, min_w = 10, max_w = 5000)[years, ] #>      mmw_numbers mmw_biomass #> 1967    1313.207    3444.342 #> 2010    2316.711    6742.697"},{"path":"https://sizespectrum.org/mizer/reference/getMeanWeight.html","id":null,"dir":"Reference","previous_headings":"","what":"Calculate the mean weight of the community — getMeanWeight","title":"Calculate the mean weight of the community — getMeanWeight","text":"Calculates mean weight community time. simply total biomass community divided abundance numbers. can specify minimum maximum weight length range species. Lengths take precedence weights (.e. min_l min_w supplied, min_l used). can also specify species used calculation.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getMeanWeight.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Calculate the mean weight of the community — getMeanWeight","text":"","code":"getMeanWeight(sim, species = NULL, ...)"},{"path":"https://sizespectrum.org/mizer/reference/getMeanWeight.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Calculate the mean weight of the community — getMeanWeight","text":"sim MizerSim object species species selected. Optional. default target species selected. vector species names, numeric vector species indices, logical vector indicating species whether selected (TRUE) . ... Arguments passed get_size_range_array min_w Smallest weight size range. Defaults smallest weight model. max_w Largest weight size range. Defaults largest weight model. min_l Smallest length size range. supplied, takes precedence min_w. max_l Largest length size range. supplied, takes precedence max_w.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getMeanWeight.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Calculate the mean weight of the community — getMeanWeight","text":"vector containing mean weight community time","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/getMeanWeight.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Calculate the mean weight of the community — getMeanWeight","text":"","code":"mean_weight <- getMeanWeight(NS_sim) years <- c(\"1967\", \"2010\") mean_weight[years] #>      1967      2010  #> 0.7959689 0.4835935  getMeanWeight(NS_sim, species = c(\"Herring\", \"Sprat\", \"N.pout\"))[years] #>      1967      2010  #> 0.6750526 0.5773987  getMeanWeight(NS_sim, min_w = 10, max_w = 5000)[years] #>     1967     2010  #> 36.12859 50.54693"},{"path":"https://sizespectrum.org/mizer/reference/getMort.html","id":null,"dir":"Reference","previous_headings":"","what":"Get total mortality rate — getMort","title":"Get total mortality rate — getMort","text":"Calculates total mortality rate \\(\\mu_i(w)\\)  (units 1/year) species size predation mortality, background mortality fishing mortality single time step.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getMort.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get total mortality rate — getMort","text":"","code":"getMort(   params,   n = initialN(params),   n_pp = initialNResource(params),   n_other = initialNOther(params),   effort = getInitialEffort(params),   t = 0,   ... )"},{"path":"https://sizespectrum.org/mizer/reference/getMort.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get total mortality rate — getMort","text":"params MizerParams object n matrix species abundances (species x size). n_pp vector resource abundance size n_other list abundances dynamical components ecosystem effort numeric vector effort gear single numeric effort value used gears. t time calculation (used standard mizer rate functions useful extensions time-dependent parameters.) ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/getMort.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get total mortality rate — getMort","text":"two dimensional array (prey species x prey size).","code":""},{"path":"https://sizespectrum.org/mizer/reference/getMort.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Get total mortality rate — getMort","text":"model contains additional components added setComponent() specified mort_fun function mortality inflicted components included returned value.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getMort.html","id":"your-own-mortality-function","dir":"Reference","previous_headings":"","what":"Your own mortality function","title":"Get total mortality rate — getMort","text":"default getMort() calls mizerMort(). However can replace alternative mortality function. function called \"myMort\" register MizerParams object params   function called instead mizerMort(), arguments.","code":"params <- setRateFunction(params, \"Mort\", \"myMort\")"},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/getMort.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get total mortality rate — getMort","text":"","code":"# \\donttest{ params <- NS_params # Project with constant fishing effort for all gears for 20 time steps sim <- project(params, t_max = 20, effort = 0.5) # Get the total mortality at a particular time step mort <- getMort(params, n = N(sim)[15, , ], n_pp = NResource(sim)[15, ],                  t = 15, effort = 0.5) # Mortality rate at this time for Sprat of size 2g mort[\"Sprat\", \"2\"] #> [1] 1.640475 # }"},{"path":"https://sizespectrum.org/mizer/reference/getN.html","id":null,"dir":"Reference","previous_headings":"","what":"Calculate the number of individuals within a size range — getN","title":"Calculate the number of individuals within a size range — getN","text":"Calculates number individuals within user-defined size limits. default option use whole size range. can specify minimum maximum weight lengths species. Lengths take precedence weights (.e. min_l min_w supplied, min_l used)","code":""},{"path":"https://sizespectrum.org/mizer/reference/getN.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Calculate the number of individuals within a size range — getN","text":"","code":"getN(object, ...)"},{"path":"https://sizespectrum.org/mizer/reference/getN.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Calculate the number of individuals within a size range — getN","text":"object object class MizerParams MizerSim. ... Arguments passed get_size_range_array min_w Smallest weight size range. Defaults smallest weight model. max_w Largest weight size range. Defaults largest weight model. min_l Smallest length size range. supplied, takes precedence min_w. max_l Largest length size range. supplied, takes precedence max_w.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getN.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Calculate the number of individuals within a size range — getN","text":"called MizerParams object, vector numbers species model. called MizerSim object, array (time x species) containing numbers time step species.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/getN.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Calculate the number of individuals within a size range — getN","text":"","code":"numbers <- getN(NS_sim) numbers[\"1972\", \"Herring\"] #> [1] 1.49413e+11 # The above gave a huge number, because that included all the larvae. # The number of Herrings between 10g and 1kg is much smaller. numbers <- getN(NS_sim, min_w = 10, max_w = 1000) numbers[\"1972\", \"Herring\"] #> [1] 4014916500"},{"path":"https://sizespectrum.org/mizer/reference/getParams.html","id":null,"dir":"Reference","previous_headings":"","what":"Extract the parameter object underlying a simulation — getParams","title":"Extract the parameter object underlying a simulation — getParams","text":"Extract parameter object underlying simulation","code":""},{"path":"https://sizespectrum.org/mizer/reference/getParams.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Extract the parameter object underlying a simulation — getParams","text":"","code":"getParams(sim)"},{"path":"https://sizespectrum.org/mizer/reference/getParams.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Extract the parameter object underlying a simulation — getParams","text":"sim MizerSim object","code":""},{"path":"https://sizespectrum.org/mizer/reference/getParams.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Extract the parameter object underlying a simulation — getParams","text":"MizerParams object used run simulation","code":""},{"path":"https://sizespectrum.org/mizer/reference/getParams.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Extract the parameter object underlying a simulation — getParams","text":"","code":"# This will be identical to the params object that was used to create the # simulation sim <- project(NS_params, t_max = 1) identical(getParams(sim), NS_params) #> [1] TRUE"},{"path":"https://sizespectrum.org/mizer/reference/getPhiPrey.html","id":null,"dir":"Reference","previous_headings":"","what":"Get available energy — getPhiPrey","title":"Get available energy — getPhiPrey","text":"deprecated longer used mizer project() method. Calculates amount \\(E_{,}(w)\\) food exposed predator function predator size.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getPhiPrey.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get available energy — getPhiPrey","text":"","code":"getPhiPrey(object, n, n_pp, ...)"},{"path":"https://sizespectrum.org/mizer/reference/getPhiPrey.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get available energy — getPhiPrey","text":"object MizerParams object n matrix species abundances (species x size) n_pp vector background abundance size ... arguments (currently unused)","code":""},{"path":"https://sizespectrum.org/mizer/reference/getPhiPrey.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get available energy — getPhiPrey","text":"two dimensional array (predator species x predator size)","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/getPhiPrey.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get available energy — getPhiPrey","text":"","code":"# \\donttest{ params <-  NS_params sim <- project(params, t_max = 20, effort = 0.5) n <- sim@n[21,,] n_pp <- sim@n_pp[21,] getPhiPrey(params,n,n_pp) #> Warning: `getPhiPrey()` was deprecated in mizer 2.0.0. #> ℹ Please use `newMultispeciesParams()` instead. #>          w #> sp               0.001      0.00119      0.00142       0.0017      0.00203 #>   Sprat   2.351401e+12 2.296587e+12 2.243044e+12 2.190740e+12 2.139645e+12 #>   Sandeel 7.542075e+12 7.366344e+12 7.194698e+12 7.027041e+12 6.863280e+12 #>   N.pout  1.507852e+12 1.468295e+12 1.429562e+12 1.391632e+12 1.354483e+12 #>   Herring 1.280071e+13 1.250988e+13 1.222455e+13 1.194476e+13 1.167054e+13 #>   Dab     2.677115e+12 2.610901e+12 2.546062e+12 2.482566e+12 2.420385e+12 #>   Whiting 1.507852e+12 1.468298e+12 1.429571e+12 1.391648e+12 1.354509e+12 #>   Sole    2.952370e+12 2.880395e+12 2.809923e+12 2.740921e+12 2.673354e+12 #>   Gurnard 2.674783e+12 2.609164e+12 2.544908e+12 2.481982e+12 2.420359e+12 #>   Plaice  2.074646e+12 2.022596e+12 1.971619e+12 1.921695e+12 1.872802e+12 #>   Haddock 3.463425e+12 3.379590e+12 3.297529e+12 3.217197e+12 3.138554e+12 #>   Cod     1.548712e+12 1.509212e+12 1.470530e+12 1.432651e+12 1.395560e+12 #>   Saithe  1.212534e+12 1.181125e+12 1.150375e+12 1.120270e+12 1.090799e+12 #>          w #> sp             0.00242      0.00289      0.00345      0.00411      0.00491 #>   Sprat   2.089731e+12 2.040966e+12 1.993323e+12 1.946774e+12 1.901290e+12 #>   Sandeel 6.703321e+12 6.547076e+12 6.394455e+12 6.245372e+12 6.099743e+12 #>   N.pout  1.318093e+12 1.282438e+12 1.247495e+12 1.213241e+12 1.179651e+12 #>   Herring 1.140189e+13 1.113879e+13 1.088120e+13 1.062909e+13 1.038238e+13 #>   Dab     2.359489e+12 2.299853e+12 2.241449e+12 2.184250e+12 2.128232e+12 #>   Whiting 1.318132e+12 1.282494e+12 1.247574e+12 1.213348e+12 1.179795e+12 #>   Sole    2.607190e+12 2.542397e+12 2.478946e+12 2.416806e+12 2.355950e+12 #>   Gurnard 2.360008e+12 2.300904e+12 2.243019e+12 2.186327e+12 2.130804e+12 #>   Plaice  1.824921e+12 1.778031e+12 1.732115e+12 1.687152e+12 1.643125e+12 #>   Haddock 3.061559e+12 2.986173e+12 2.912358e+12 2.840079e+12 2.769300e+12 #>   Cod     1.359244e+12 1.323687e+12 1.288874e+12 1.254791e+12 1.221420e+12 #>   Saithe  1.061949e+12 1.033706e+12 1.006057e+12 9.789881e+11 9.524826e+11 #>          w #> sp             0.00586      0.00699      0.00834      0.00995       0.0119 #>   Sprat   1.856845e+12 1.813409e+12 1.770958e+12 1.729463e+12 1.688899e+12 #>   Sandeel 5.957485e+12 5.818516e+12 5.682756e+12 5.550128e+12 5.420555e+12 #>   N.pout  1.146704e+12 1.114376e+12 1.082646e+12 1.051496e+12 1.020909e+12 #>   Herring 1.014103e+13 9.904939e+12 9.674038e+12 9.448234e+12 9.227435e+12 #>   Dab     2.073371e+12 2.019640e+12 1.967018e+12 1.915481e+12 1.865006e+12 #>   Whiting 1.146892e+12 1.114619e+12 1.082956e+12 1.051885e+12 1.021393e+12 #>   Sole    2.296350e+12 2.237979e+12 2.180812e+12 2.124822e+12 2.069985e+12 #>   Gurnard 2.076425e+12 2.023165e+12 1.971001e+12 1.919909e+12 1.869865e+12 #>   Plaice  1.600013e+12 1.557799e+12 1.516463e+12 1.475988e+12 1.436355e+12 #>   Haddock 2.699986e+12 2.632106e+12 2.565627e+12 2.500517e+12 2.436746e+12 #>   Cod     1.188747e+12 1.156753e+12 1.125421e+12 1.094734e+12 1.064672e+12 #>   Saithe  9.265242e+11 9.010950e+11 8.761753e+11 8.517439e+11 8.277784e+11 #>          w #> sp              0.0142       0.0169       0.0202       0.0241       0.0288 #>   Sprat   1.649239e+12 1.610458e+12 1.572530e+12 1.535430e+12 1.499134e+12 #>   Sandeel 5.293961e+12 5.170273e+12 5.049418e+12 4.931326e+12 4.815926e+12 #>   N.pout  9.908698e+11 9.613695e+11 9.324012e+11 9.039634e+11 8.760596e+11 #>   Herring 9.011547e+12 8.800471e+12 8.594108e+12 8.392357e+12 8.195118e+12 #>   Dab     1.815570e+12 1.767154e+12 1.719735e+12 1.673295e+12 1.627815e+12 #>   Whiting 9.914665e+11 9.620976e+11 9.332820e+11 9.050204e+11 8.773183e+11 #>   Sole    2.016275e+12 1.963668e+12 1.912141e+12 1.861668e+12 1.812226e+12 #>   Gurnard 1.820846e+12 1.772827e+12 1.725787e+12 1.679700e+12 1.634544e+12 #>   Plaice  1.397545e+12 1.359542e+12 1.322328e+12 1.285888e+12 1.250207e+12 #>   Haddock 2.374285e+12 2.313103e+12 2.253173e+12 2.194467e+12 2.136957e+12 #>   Cod     1.035216e+12 1.006346e+12 9.780433e+11 9.502885e+11 9.230637e+11 #>   Saithe  8.042553e+11 7.811502e+11 7.584390e+11 7.360984e+11 7.141067e+11 #>          w #> sp              0.0343       0.0409       0.0489       0.0583       0.0696 #>   Sprat   1.463617e+12 1.428857e+12 1.394830e+12 1.361515e+12 1.328890e+12 #>   Sandeel 4.703150e+12 4.592932e+12 4.485205e+12 4.379905e+12 4.276969e+12 #>   N.pout  8.486987e+11 8.218954e+11 7.956700e+11 7.700486e+11 7.450629e+11 #>   Herring 8.002289e+12 7.813771e+12 7.629463e+12 7.449267e+12 7.273087e+12 #>   Dab     1.583279e+12 1.539670e+12 1.496976e+12 1.455186e+12 1.414290e+12 #>   Whiting 8.501867e+11 8.236422e+11 7.977069e+11 7.724084e+11 7.477796e+11 #>   Sole    1.763793e+12 1.716346e+12 1.669862e+12 1.624321e+12 1.579703e+12 #>   Gurnard 1.590295e+12 1.546931e+12 1.504430e+12 1.462770e+12 1.421930e+12 #>   Plaice  1.215273e+12 1.181074e+12 1.147602e+12 1.114853e+12 1.082826e+12 #>   Haddock 2.080617e+12 2.025420e+12 1.971342e+12 1.918358e+12 1.866446e+12 #>   Cod     8.963528e+11 8.701419e+11 8.444204e+11 8.191815e+11 7.944229e+11 #>   Saithe  6.924451e+11 6.710980e+11 6.500546e+11 6.293089e+11 6.088604e+11 #>          w #> sp               0.083       0.0991        0.118        0.141        0.168 #>   Sprat   1.296937e+12 1.265635e+12 1.234968e+12 1.204918e+12 1.175473e+12 #>   Sandeel 4.176334e+12 4.077942e+12 3.981732e+12 3.887647e+12 3.795631e+12 #>   N.pout  7.207495e+11 6.971495e+11 6.743079e+11 6.522726e+11 6.310932e+11 #>   Herring 7.100826e+12 6.932390e+12 6.767687e+12 6.606627e+12 6.449121e+12 #>   Dab     1.374283e+12 1.335163e+12 1.296930e+12 1.259588e+12 1.223145e+12 #>   Whiting 7.238578e+11 7.006846e+11 6.783047e+11 6.567652e+11 6.361146e+11 #>   Sole    1.535987e+12 1.493157e+12 1.451198e+12 1.410094e+12 1.369835e+12 #>   Gurnard 1.381893e+12 1.342640e+12 1.304156e+12 1.266429e+12 1.229449e+12 #>   Plaice  1.051521e+12 1.020948e+12 9.911168e+11 9.620446e+11 9.337531e+11 #>   Haddock 1.815583e+12 1.765748e+12 1.716924e+12 1.669094e+12 1.622241e+12 #>   Cod     7.701476e+11 7.463644e+11 7.230879e+11 7.003391e+11 6.781451e+11 #>   Saithe  5.887145e+11 5.688819e+11 5.493788e+11 5.302263e+11 5.114496e+11 #>          w #> sp               0.201         0.24        0.286        0.342        0.408 #>   Sprat   1.146617e+12 1.118338e+12 1.090626e+12 1.063470e+12 1.036861e+12 #>   Sandeel 3.705628e+12 3.617587e+12 3.531455e+12 3.447181e+12 3.364719e+12 #>   N.pout  6.108202e+11 5.915035e+11 5.731915e+11 5.559294e+11 5.397588e+11 #>   Herring 6.295082e+12 6.144427e+12 5.997072e+12 5.852938e+12 5.711946e+12 #>   Dab     1.187612e+12 1.153006e+12 1.119344e+12 1.086650e+12 1.054949e+12 #>   Whiting 6.164016e+11 5.976740e+11 5.799777e+11 5.633557e+11 5.478472e+11 #>   Sole    1.330412e+12 1.291817e+12 1.254050e+12 1.217108e+12 1.180995e+12 #>   Gurnard 1.193209e+12 1.157704e+12 1.122936e+12 1.088908e+12 1.055627e+12 #>   Plaice  9.062692e+11 8.796243e+11 8.538547e+11 8.290007e+11 8.051058e+11 #>   Haddock 1.576354e+12 1.531424e+12 1.487442e+12 1.444406e+12 1.402313e+12 #>   Cod     6.565386e+11 6.355579e+11 6.152459e+11 5.956493e+11 5.768177e+11 #>   Saithe  4.930772e+11 4.751402e+11 4.576712e+11 4.407036e+11 4.242708e+11 #>          w #> sp               0.486         0.58        0.693        0.827        0.987 #>   Sprat   1.010792e+12 9.852540e+11 9.602399e+11 9.357423e+11 9.117535e+11 #>   Sandeel 3.284020e+12 3.205040e+12 3.127735e+12 3.052062e+12 2.977983e+12 #>   N.pout  5.247160e+11 5.108316e+11 4.981300e+11 4.866288e+11 4.763393e+11 #>   Herring 5.574021e+12 5.439088e+12 5.307076e+12 5.177915e+12 5.051538e+12 #>   Dab     1.024272e+12 9.946487e+11 9.661146e+11 9.387056e+11 9.124589e+11 #>   Whiting 5.334866e+11 5.203034e+11 5.083216e+11 4.975601e+11 4.880328e+11 #>   Sole    1.145719e+12 1.111289e+12 1.077719e+12 1.045025e+12 1.013228e+12 #>   Gurnard 1.023106e+12 9.913603e+11 9.604099e+11 9.302782e+11 9.009922e+11 #>   Plaice  7.822161e+11 7.603797e+11 7.396450e+11 7.200601e+11 7.016715e+11 #>   Haddock 1.361168e+12 1.320975e+12 1.281745e+12 1.243491e+12 1.206230e+12 #>   Cod     5.588027e+11 5.416561e+11 5.254297e+11 5.101735e+11 4.959349e+11 #>   Saithe  4.084053e+11 3.931381e+11 3.784982e+11 3.645120e+11 3.512029e+11 #>          w #> sp                1.18          1.4         1.68            2         2.39 #>   Sprat   8.882657e+11 8.652706e+11 8.427595e+11 8.207235e+11 7.991533e+11 #>   Sandeel 2.905457e+12 2.834448e+12 2.764920e+12 2.696838e+12 2.630169e+12 #>   N.pout  4.672667e+11 4.594108e+11 4.527674e+11 4.473293e+11 4.430888e+11 #>   Herring 4.927879e+12 4.806875e+12 4.688465e+12 4.572590e+12 4.459193e+12 #>   Dab     8.874129e+11 8.636061e+11 8.410772e+11 8.198642e+11 8.000044e+11 #>   Whiting 4.797492e+11 4.727161e+11 4.669382e+11 4.624208e+11 4.591714e+11 #>   Sole    9.823498e+11 9.524156e+11 9.234529e+11 8.954904e+11 8.685587e+11 #>   Gurnard 8.725817e+11 8.450797e+11 8.185210e+11 7.929425e+11 7.683822e+11 #>   Plaice  6.845234e+11 6.686560e+11 6.541051e+11 6.409013e+11 6.290692e+11 #>   Haddock 1.169984e+12 1.134776e+12 1.100635e+12 1.067593e+12 1.035683e+12 #>   Cod     4.827575e+11 4.706808e+11 4.597388e+11 4.499603e+11 4.413681e+11 #>   Saithe  3.385911e+11 3.266932e+11 3.155220e+11 3.050866e+11 2.953922e+11 #>          w #> sp                2.85          3.4         4.06         4.84         5.78 #>   Sprat   7.780400e+11 7.573744e+11 7.371479e+11 7.173522e+11 6.979791e+11 #>   Sandeel 2.564882e+12 2.500946e+12 2.438330e+12 2.377007e+12 2.316947e+12 #>   N.pout  4.400394e+11 4.381804e+11 4.375302e+11 4.381544e+11 4.401573e+11 #>   Herring 4.348220e+12 4.239618e+12 4.133337e+12 4.029330e+12 3.927550e+12 #>   Dab     7.815343e+11 7.644901e+11 7.489124e+11 7.348556e+11 7.223849e+11 #>   Whiting 4.572030e+11 4.565392e+11 4.572349e+11 4.594172e+11 4.632723e+11 #>   Sole    8.426890e+11 8.179131e+11 7.942643e+11 7.717786e+11 7.504947e+11 #>   Gurnard 7.448789e+11 7.224720e+11 7.012017e+11 6.811112e+11 6.622456e+11 #>   Plaice  6.186276e+11 6.095894e+11 6.019644e+11 5.957646e+11 5.910047e+11 #>   Haddock 1.004945e+12 9.754200e+11 9.471535e+11 9.202015e+11 8.946276e+11 #>   Cod     4.339798e+11 4.278078e+11 4.228619e+11 4.191540e+11 4.166994e+11 #>   Saithe  2.864407e+11 2.782303e+11 2.707569e+11 2.640145e+11 2.579962e+11 #>          w #> sp                 6.9         8.23         9.82         11.7           14 #>   Sprat   6.790203e+11 6.604670e+11 6.423092e+11 6.245352e+11 6.071314e+11 #>   Sandeel 2.258123e+12 2.200509e+12 2.144077e+12 2.088801e+12 2.034654e+12 #>   N.pout  4.435682e+11 4.484216e+11 4.547879e+11 4.627602e+11 4.714898e+11 #>   Herring 3.827955e+12 3.730503e+12 3.635155e+12 3.541876e+12 3.450629e+12 #>   Dab     7.115350e+11 7.023392e+11 6.948416e+11 6.890957e+11 6.850002e+11 #>   Whiting 4.688696e+11 4.762837e+11 4.856418e+11 4.971115e+11 5.099884e+11 #>   Sole    7.304438e+11 7.116565e+11 6.941646e+11 6.780019e+11 6.631446e+11 #>   Gurnard 6.446427e+11 6.283394e+11 6.133736e+11 5.997844e+11 5.875512e+11 #>   Plaice  5.876824e+11 5.857940e+11 5.853419e+11 5.863363e+11 5.886962e+11 #>   Haddock 8.704826e+11 8.478184e+11 8.266929e+11 8.071678e+11 7.892205e+11 #>   Cod     4.155072e+11 4.155910e+11 4.169741e+11 4.196937e+11 4.237535e+11 #>   Saithe  2.526939e+11 2.481003e+11 2.442101e+11 2.410215e+11 2.384982e+11 #>          w #> sp                16.7         19.9         23.8         28.4         33.8 #>   Sprat   5.900816e+11 5.733673e+11 5.569677e+11 5.408608e+11 5.250242e+11 #>   Sandeel 1.981612e+12 1.929646e+12 1.878733e+12 1.828844e+12 1.779954e+12 #>   N.pout  4.818908e+11 4.940350e+11 5.079383e+11 5.238708e+11 5.420408e+11 #>   Herring 3.361385e+12 3.274117e+12 3.188795e+12 3.105396e+12 3.023900e+12 #>   Dab     6.828012e+11 6.825358e+11 6.840918e+11 6.874279e+11 6.925608e+11 #>   Whiting 5.254045e+11 5.434339e+11 5.635694e+11 5.856332e+11 6.096342e+11 #>   Sole    6.496875e+11 6.376572e+11 6.270366e+11 6.178271e+11 6.100477e+11 #>   Gurnard 5.767658e+11 5.674610e+11 5.596463e+11 5.533457e+11 5.485907e+11 #>   Plaice  5.925551e+11 5.979323e+11 6.047615e+11 6.130242e+11 6.227448e+11 #>   Haddock 7.729873e+11 7.585265e+11 7.458835e+11 7.351208e+11 7.262972e+11 #>   Cod     4.292679e+11 4.363178e+11 4.449634e+11 4.552986e+11 4.674432e+11 #>   Saithe  2.366638e+11 2.355201e+11 2.350707e+11 2.353228e+11 2.362827e+11 #>          w #> sp                40.4         48.2         57.5         68.7         81.9 #>   Sprat   5.094370e+11 4.940806e+11 4.789413e+11 4.640111e+11 4.492895e+11 #>   Sandeel 1.732038e+12 1.685069e+12 1.639021e+12 1.593869e+12 1.549590e+12 #>   N.pout  5.618677e+11 5.828510e+11 6.051059e+11 6.285856e+11 6.532363e+11 #>   Herring 2.944287e+12 2.866542e+12 2.790655e+12 2.716617e+12 2.644423e+12 #>   Dab     6.994986e+11 7.082426e+11 7.189323e+11 7.316248e+11 7.463635e+11 #>   Whiting 6.353057e+11 6.623647e+11 6.911637e+11 7.217237e+11 7.540611e+11 #>   Sole    6.037191e+11 5.988596e+11 5.955159e+11 5.937171e+11 5.934922e+11 #>   Gurnard 5.453954e+11 5.437727e+11 5.437690e+11 5.454144e+11 5.487378e+11 #>   Plaice  6.339508e+11 6.466693e+11 6.609948e+11 6.769838e+11 6.946868e+11 #>   Haddock 7.194211e+11 7.145042e+11 7.116429e+11 7.109011e+11 7.123369e+11 #>   Cod     4.815106e+11 4.976128e+11 5.158982e+11 5.364802e+11 5.594442e+11 #>   Saithe  2.379432e+11 2.402913e+11 2.433128e+11 2.469831e+11 2.512682e+11 #>          w #> sp                97.8          117          139          166          198 #>   Sprat   4.347834e+11 4.205079e+11 4.064852e+11 3.927441e+11 3.793186e+11 #>   Sandeel 1.506158e+12 1.463552e+12 1.421751e+12 1.380735e+12 1.340487e+12 #>   N.pout  6.792370e+11 7.077025e+11 7.388601e+11 7.705068e+11 8.005095e+11 #>   Herring 2.574074e+12 2.505581e+12 2.438949e+12 2.374169e+12 2.311235e+12 #>   Dab     7.632265e+11 7.824740e+11 8.040962e+11 8.276144e+11 8.525831e+11 #>   Whiting 7.884743e+11 8.264244e+11 8.679749e+11 9.100790e+11 9.499811e+11 #>   Sole    5.948761e+11 5.979465e+11 6.027109e+11 6.090649e+11 6.169093e+11 #>   Gurnard 5.537809e+11 5.606398e+11 5.693511e+11 5.798005e+11 5.918696e+11 #>   Plaice  7.141731e+11 7.356241e+11 7.590464e+11 7.841567e+11 8.106607e+11 #>   Haddock 7.160313e+11 7.221628e+11 7.308121e+11 7.417986e+11 7.549462e+11 #>   Cod     5.848560e+11 6.128133e+11 6.433001e+11 6.760657e+11 7.107888e+11 #>   Saithe  2.561301e+11 2.615420e+11 2.674680e+11 2.738382e+11 2.805818e+11 #>          w #> sp                 237          282          337          402          480 #>   Sprat   3.662464e+11 3.535678e+11 3.413245e+11 3.295580e+11 3.183092e+11 #>   Sandeel 1.300991e+12 1.262237e+12 1.224214e+12 1.186918e+12 1.150344e+12 #>   N.pout  8.282768e+11 8.535252e+11 8.760886e+11 8.957597e+11 9.122098e+11 #>   Herring 2.250160e+12 2.190962e+12 2.133664e+12 2.078292e+12 2.024873e+12 #>   Dab     8.788432e+11 9.062968e+11 9.348293e+11 9.642794e+11 9.944268e+11 #>   Whiting 9.869498e+11 1.020753e+12 1.051268e+12 1.078280e+12 1.101407e+12 #>   Sole    6.262079e+11 6.369342e+11 6.490497e+11 6.624951e+11 6.771856e+11 #>   Gurnard 6.055159e+11 6.207024e+11 6.373796e+11 6.554735e+11 6.748790e+11 #>   Plaice  8.384066e+11 8.672551e+11 8.970341e+11 9.275200e+11 9.584312e+11 #>   Haddock 7.702321e+11 7.876476e+11 8.071832e+11 8.288073e+11 8.524518e+11 #>   Cod     7.471770e+11 7.848967e+11 8.235591e+11 8.627180e+11 9.018726e+11 #>   Saithe  2.876507e+11 2.950024e+11 3.025949e+11 3.103776e+11 3.182817e+11 #>          w #> sp                 573          683          816          973         1160 #>   Sprat   3.076174e+11 2.975195e+11 2.880495e+11 2.792375e+11 2.711097e+11 #>   Sandeel 1.114497e+12 1.079381e+12 1.045008e+12 1.011392e+12 9.785555e+11 #>   N.pout  9.249938e+11 9.336384e+11 9.377331e+11 9.369582e+11 9.311291e+11 #>   Herring 1.973436e+12 1.924013e+12 1.876635e+12 1.831341e+12 1.788167e+12 #>   Dab     1.024991e+12 1.055646e+12 1.086031e+12 1.115760e+12 1.144424e+12 #>   Whiting 1.120097e+12 1.133739e+12 1.141774e+12 1.143722e+12 1.139224e+12 #>   Sole    6.930092e+11 7.098282e+11 7.274803e+11 7.457793e+11 7.645147e+11 #>   Gurnard 6.954563e+11 7.170335e+11 7.394094e+11 7.623533e+11 7.856065e+11 #>   Plaice  9.894268e+11 1.020115e+12 1.050062e+12 1.078798e+12 1.105824e+12 #>   Haddock 8.780089e+11 9.053355e+11 9.342591e+11 9.645770e+11 9.960579e+11 #>   Cod     9.404738e+11 9.779342e+11 1.013638e+12 1.046943e+12 1.077185e+12 #>   Saithe  3.262095e+11 3.340258e+11 3.415512e+11 3.485594e+11 3.547814e+11 #>          w #> sp                1390         1650         1970         2360         2810 #>   Sprat   2.636875e+11 2.569872e+11 2.510193e+11 2.457886e+11 2.412939e+11 #>   Sandeel 9.465232e+11 9.153275e+11 8.850065e+11 8.556053e+11 8.271760e+11 #>   N.pout  9.201641e+11 9.041229e+11 8.831993e+11 8.577460e+11 8.281935e+11 #>   Herring 1.747155e+12 1.708345e+12 1.671780e+12 1.637504e+12 1.605560e+12 #>   Dab     1.171595e+12 1.196842e+12 1.219737e+12 1.239856e+12 1.256773e+12 #>   Whiting 1.128055e+12 1.110180e+12 1.085769e+12 1.055162e+12 1.018789e+12 #>   Sole    7.834528e+11 8.023388e+11 8.208996e+11 8.388453e+11 8.558694e+11 #>   Gurnard 8.088820e+11 8.318686e+11 8.542342e+11 8.756284e+11 8.956841e+11 #>   Plaice  1.130614e+12 1.152634e+12 1.171346e+12 1.186225e+12 1.196757e+12 #>   Haddock 1.028438e+12 1.061425e+12 1.094698e+12 1.127911e+12 1.160687e+12 #>   Cod     1.103681e+12 1.125734e+12 1.142652e+12 1.153761e+12 1.158432e+12 #>   Saithe  3.599109e+11 3.636217e+11 3.655907e+11 3.655312e+11 3.632240e+11 #>          w #> sp                3350         4000         4780         5700         6800 #>   Sprat   2.375283e+11 2.344795e+11 2.321306e+11 2.304612e+11 2.294488e+11 #>   Sandeel 7.997791e+11 7.734838e+11 7.483690e+11 7.245247e+11 7.020525e+11 #>   N.pout  7.951138e+11 7.592039e+11 7.212476e+11 6.820792e+11 6.425488e+11 #>   Herring 1.575991e+12 1.548840e+12 1.524148e+12 1.501953e+12 1.482291e+12 #>   Dab     1.270092e+12 1.279459e+12 1.284564e+12 1.285157e+12 1.281052e+12 #>   Whiting 9.772768e+11 9.314406e+11 8.822384e+11 8.307289e+11 7.780284e+11 #>   Sole    8.716573e+11 8.858926e+11 8.982618e+11 9.084610e+11 9.162028e+11 #>   Gurnard 9.140291e+11 9.302940e+11 9.441203e+11 9.551689e+11 9.631300e+11 #>   Plaice  1.202473e+12 1.202965e+12 1.197900e+12 1.187043e+12 1.170269e+12 #>   Haddock 1.192636e+12 1.223354e+12 1.252434e+12 1.279468e+12 1.304059e+12 #>   Cod     1.156122e+12 1.146421e+12 1.129101e+12 1.104157e+12 1.071843e+12 #>   Saithe  3.585510e+11 3.515231e+11 3.422980e+11 3.311854e+11 3.186363e+11 #>          w #> sp                8120         9690        11600        13800        16500 #>   Sprat   2.290708e+11 2.293064e+11 2.301399e+11 2.315626e+11 2.335766e+11 #>   Sandeel 6.810670e+11 6.616971e+11 6.440867e+11 6.283952e+11 6.147983e+11 #>   N.pout  6.034628e+11 5.655556e+11 5.294583e+11 4.956715e+11 4.645475e+11 #>   Herring 1.465196e+12 1.450694e+12 1.438807e+12 1.429553e+12 1.422939e+12 #>   Dab     1.272134e+12 1.258369e+12 1.239800e+12 1.216556e+12 1.188847e+12 #>   Whiting 7.252457e+11 6.734368e+11 6.235562e+11 5.764122e+11 5.326300e+11 #>   Sole    9.212238e+11 9.232912e+11 9.222107e+11 9.178323e+11 9.100569e+11 #>   Gurnard 9.677320e+11 9.687513e+11 9.660210e+11 9.594390e+11 9.489736e+11 #>   Plaice  1.147583e+12 1.119121e+12 1.085165e+12 1.046134e+12 1.002582e+12 #>   Haddock 1.325821e+12 1.344393e+12 1.359441e+12 1.370674e+12 1.377842e+12 #>   Cod     1.032697e+12 9.875383e+11 9.374543e+11 8.837555e+11 8.279149e+11 #>   Saithe  3.052168e+11 2.915675e+11 2.783542e+11 2.662137e+11 2.557018e+11 #>          w #> sp               19600        23400        28000        33400        39900 #>   Sprat   2.361982e+11 2.394611e+11 2.434196e+11 2.481525e+11 2.537644e+11 #>   Sandeel 6.034877e+11 5.946702e+11 5.885658e+11 5.854055e+11 5.854268e+11 #>   N.pout  4.362816e+11 4.109164e+11 3.883584e+11 3.684096e+11 3.508099e+11 #>   Herring 1.418966e+12 1.417626e+12 1.418900e+12 1.422760e+12 1.429163e+12 #>   Dab     1.156957e+12 1.121247e+12 1.082143e+12 1.040133e+12 9.957591e+11 #>   Whiting 4.926283e+11 4.566134e+11 4.245956e+11 3.964283e+11 3.718669e+11 #>   Sole    8.988406e+11 8.841990e+11 8.662097e+11 8.450138e+11 8.208159e+11 #>   Gurnard 9.346682e+11 9.166434e+11 8.950973e+11 8.703031e+11 8.426049e+11 #>   Plaice  9.551774e+11 9.046900e+11 8.519607e+11 7.978767e+11 7.433407e+11 #>   Haddock 1.380750e+12 1.379261e+12 1.373300e+12 1.362865e+12 1.348021e+12 #>   Cod     7.714905e+11 7.160396e+11 6.630314e+11 6.137684e+11 5.693207e+11 #>   Saithe  2.472494e+11 2.411299e+11 2.374426e+11 2.361103e+11 2.368920e+11 # -> getEncounter(params) / getSearchVolume(params) #>          w #> sp               0.001      0.00119      0.00142       0.0017      0.00203 #>   Sprat   2.351411e+12 2.296597e+12 2.243053e+12 2.190748e+12 2.139650e+12 #>   Sandeel 7.542068e+12 7.366333e+12 7.194680e+12 7.027015e+12 6.863242e+12 #>   N.pout  1.461295e+12 1.420432e+12 1.380615e+12 1.341840e+12 1.304096e+12 #>   Herring 1.279931e+13 1.250827e+13 1.222269e+13 1.194264e+13 1.166813e+13 #>   Dab     2.646976e+12 2.578483e+12 2.511343e+12 2.445543e+12 2.381075e+12 #>   Whiting 1.461295e+12 1.420436e+12 1.380626e+12 1.341861e+12 1.304131e+12 #>   Sole    2.930500e+12 2.856486e+12 2.783898e+12 2.712714e+12 2.642913e+12 #>   Gurnard 2.651205e+12 2.583464e+12 2.517021e+12 2.451858e+12 2.387964e+12 #>   Plaice  2.043473e+12 1.989174e+12 1.935963e+12 1.883841e+12 1.832812e+12 #>   Haddock 3.442482e+12 3.356698e+12 3.272603e+12 3.190165e+12 3.109350e+12 #>   Cod     1.517225e+12 1.475680e+12 1.435022e+12 1.395260e+12 1.356406e+12 #>   Saithe  1.180392e+12 1.147297e+12 1.114987e+12 1.083472e+12 1.052763e+12 #>          w #> sp             0.00242      0.00289      0.00345      0.00411      0.00491 #>   Sprat   2.089730e+12 2.040958e+12 1.993304e+12 1.946738e+12 1.901230e+12 #>   Sandeel 6.703269e+12 6.547005e+12 6.394361e+12 6.245249e+12 6.099584e+12 #>   N.pout  1.267372e+12 1.231648e+12 1.196904e+12 1.163112e+12 1.130243e+12 #>   Herring 1.139915e+13 1.113569e+13 1.087771e+13 1.062516e+13 1.037799e+13 #>   Dab     2.317929e+12 2.256099e+12 2.195582e+12 2.136371e+12 2.078465e+12 #>   Whiting 1.267424e+12 1.231724e+12 1.197009e+12 1.163255e+12 1.130434e+12 #>   Sole    2.574478e+12 2.507394e+12 2.441648e+12 2.377232e+12 2.314137e+12 #>   Gurnard 2.325327e+12 2.263940e+12 2.203796e+12 2.144891e+12 2.087223e+12 #>   Plaice  1.782881e+12 1.734051e+12 1.686329e+12 1.639718e+12 1.594222e+12 #>   Haddock 3.030132e+12 2.952483e+12 2.876382e+12 2.801808e+12 2.728744e+12 #>   Cod     1.318470e+12 1.281460e+12 1.245385e+12 1.210247e+12 1.176047e+12 #>   Saithe  1.022866e+12 9.937864e+11 9.655236e+11 9.380744e+11 9.114307e+11 #>          w #> sp             0.00586      0.00699      0.00834      0.00995       0.0119 #>   Sprat   1.856753e+12 1.813275e+12 1.770768e+12 1.729202e+12 1.688548e+12 #>   Sandeel 5.957280e+12 5.818256e+12 5.682429e+12 5.549718e+12 5.420045e+12 #>   N.pout  1.098265e+12 1.067142e+12 1.036837e+12 1.007313e+12 9.785304e+11 #>   Herring 1.013611e+13 9.899453e+12 9.667932e+12 9.441457e+12 9.219930e+12 #>   Dab     2.021859e+12 1.966549e+12 1.912531e+12 1.859798e+12 1.808344e+12 #>   Whiting 1.098516e+12 1.067466e+12 1.037249e+12 1.007830e+12 9.791740e+11 #>   Sole    2.252357e+12 2.191887e+12 2.132723e+12 2.074861e+12 2.018296e+12 #>   Gurnard 2.030789e+12 1.975588e+12 1.921617e+12 1.868875e+12 1.817358e+12 #>   Plaice  1.549841e+12 1.506577e+12 1.464425e+12 1.423380e+12 1.383435e+12 #>   Haddock 2.657173e+12 2.587081e+12 2.518456e+12 2.451285e+12 2.385559e+12 #>   Cod     1.142785e+12 1.110452e+12 1.079038e+12 1.048530e+12 1.018906e+12 #>   Saithe  8.855797e+11 8.605034e+11 8.361784e+11 8.125759e+11 7.896621e+11 #>          w #> sp              0.0142       0.0169       0.0202       0.0241       0.0288 #>   Sprat   1.648776e+12 1.609856e+12 1.571758e+12 1.534451e+12 1.497905e+12 #>   Sandeel 5.293332e+12 5.169501e+12 5.048477e+12 4.930184e+12 4.814549e+12 #>   N.pout  9.504530e+11 9.230460e+11 8.962776e+11 8.701206e+11 8.445532e+11 #>   Herring 9.003255e+12 8.791332e+12 8.584057e+12 8.381329e+12 8.183046e+12 #>   Dab     1.758160e+12 1.709235e+12 1.661559e+12 1.615116e+12 1.569891e+12 #>   Whiting 9.512454e+11 9.240126e+11 8.974467e+11 8.715235e+11 8.462239e+11 #>   Sole    1.963024e+12 1.909038e+12 1.856333e+12 1.804899e+12 1.754725e+12 #>   Gurnard 1.767061e+12 1.717975e+12 1.670094e+12 1.623403e+12 1.577890e+12 #>   Plaice  1.344578e+12 1.306795e+12 1.270070e+12 1.234384e+12 1.199715e+12 #>   Haddock 2.321267e+12 2.258397e+12 2.196941e+12 2.136885e+12 2.078218e+12 #>   Cod     9.901445e+11 9.622164e+11 9.350908e+11 9.087336e+11 8.831084e+11 #>   Saithe  7.673983e+11 7.457416e+11 7.246465e+11 7.040652e+11 6.839499e+11 #>          w #> sp              0.0343       0.0409       0.0489       0.0583       0.0696 #>   Sprat   1.462090e+12 1.426975e+12 1.392531e+12 1.358727e+12 1.325537e+12 #>   Sandeel 4.701499e+12 4.590962e+12 4.482866e+12 4.377143e+12 4.273722e+12 #>   N.pout  8.195596e+11 7.951309e+11 7.712658e+11 7.479703e+11 7.252584e+11 #>   Herring 7.989104e+12 7.799403e+12 7.613842e+12 7.432323e+12 7.254748e+12 #>   Dab     1.525868e+12 1.483029e+12 1.441354e+12 1.400824e+12 1.361420e+12 #>   Whiting 8.215350e+11 7.974509e+11 7.739725e+11 7.511083e+11 7.288738e+11 #>   Sole    1.705799e+12 1.658107e+12 1.611631e+12 1.566352e+12 1.522250e+12 #>   Gurnard 1.533536e+12 1.490322e+12 1.448226e+12 1.407222e+12 1.367284e+12 #>   Plaice  1.166041e+12 1.133340e+12 1.101586e+12 1.070759e+12 1.040838e+12 #>   Haddock 2.020926e+12 1.964995e+12 1.910409e+12 1.857151e+12 1.805202e+12 #>   Cod     8.581782e+11 8.339058e+11 8.102557e+11 7.871954e+11 7.646965e+11 #>   Saithe  6.642540e+11 6.449341e+11 6.259511e+11 6.072720e+11 5.888712e+11 #>          w #> sp               0.083       0.0991        0.118        0.141        0.168 #>   Sprat   1.292934e+12 1.260894e+12 1.229393e+12 1.198413e+12 1.167936e+12 #>   Sandeel 4.172536e+12 4.073519e+12 3.976606e+12 3.881734e+12 3.788840e+12 #>   N.pout  7.031513e+11 6.816772e+11 6.608707e+11 6.407715e+11 6.214234e+11 #>   Herring 7.081022e+12 6.911053e+12 6.744751e+12 6.582027e+12 6.422795e+12 #>   Dab     1.323123e+12 1.285916e+12 1.249781e+12 1.214705e+12 1.180676e+12 #>   Whiting 7.072917e+11 6.863907e+11 6.662052e+11 6.467737e+11 6.281383e+11 #>   Sole    1.479302e+12 1.437484e+12 1.396771e+12 1.357138e+12 1.318559e+12 #>   Gurnard 1.328383e+12 1.290490e+12 1.253575e+12 1.217607e+12 1.182559e+12 #>   Plaice  1.011803e+12 9.836404e+11 9.563395e+11 9.298945e+11 9.043048e+11 #>   Haddock 1.754541e+12 1.705148e+12 1.657001e+12 1.610076e+12 1.564351e+12 #>   Cod     7.427360e+11 7.212976e+11 7.003725e+11 6.799601e+11 6.600681e+11 #>   Saithe  5.707310e+11 5.528422e+11 5.352042e+11 5.178245e+11 5.007185e+11 #>          w #> sp               0.201         0.24        0.286        0.342        0.408 #>   Sprat   1.137951e+12 1.108448e+12 1.079421e+12 1.050869e+12 1.022793e+12 #>   Sandeel 3.697865e+12 3.608751e+12 3.521443e+12 3.435888e+12 3.352034e+12 #>   N.pout  6.028730e+11 5.851685e+11 5.683577e+11 5.524868e+11 5.375989e+11 #>   Herring 6.266974e+12 6.114483e+12 5.965245e+12 5.819185e+12 5.676231e+12 #>   Dab     1.147686e+12 1.115730e+12 1.084805e+12 1.054913e+12 1.026061e+12 #>   Whiting 6.103427e+11 5.934313e+11 5.774476e+11 5.624329e+11 5.484252e+11 #>   Sole    1.281009e+12 1.244464e+12 1.208902e+12 1.174304e+12 1.140650e+12 #>   Gurnard 1.148403e+12 1.115113e+12 1.082668e+12 1.051048e+12 1.020239e+12 #>   Plaice  8.795759e+11 8.557189e+11 8.327510e+11 8.106946e+11 7.895772e+11 #>   Haddock 1.519803e+12 1.476410e+12 1.434149e+12 1.393002e+12 1.352950e+12 #>   Cod     6.407129e+11 6.219186e+11 6.037171e+11 5.861466e+11 5.692509e+11 #>   Saithe  4.839079e+11 4.674202e+11 4.512870e+11 4.355431e+11 4.202248e+11 #>          w #> sp               0.486         0.58        0.693        0.827        0.987 #>   Sprat   9.952004e+11 9.680989e+11 9.415002e+11 9.154176e+11 8.898659e+11 #>   Sandeel 3.269835e+12 3.189246e+12 3.110226e+12 3.032735e+12 2.956740e+12 #>   N.pout  5.237328e+11 5.109218e+11 4.991927e+11 4.885657e+11 4.790541e+11 #>   Herring 5.536315e+12 5.399371e+12 5.265334e+12 5.134144e+12 5.005744e+12 #>   Dab     9.982569e+11 9.715145e+11 9.458496e+11 9.212815e+11 8.978316e+11 #>   Whiting 5.354583e+11 5.235609e+11 5.127560e+11 5.030612e+11 4.944891e+11 #>   Sole    1.107928e+12 1.076125e+12 1.045234e+12 1.015253e+12 9.861794e+11 #>   Gurnard 9.902308e+11 9.610175e+11 9.325985e+11 9.049782e+11 8.781660e+11 #>   Plaice  7.694305e+11 7.502894e+11 7.321908e+11 7.151726e+11 6.992723e+11 #>   Haddock 1.313976e+12 1.276069e+12 1.239218e+12 1.203417e+12 1.168663e+12 #>   Cod     5.530774e+11 5.376762e+11 5.230983e+11 5.093939e+11 4.966114e+11 #>   Saithe  4.053690e+11 3.910120e+11 3.771886e+11 3.639312e+11 3.512690e+11 #>          w #> sp                1.18          1.4         1.68            2         2.39 #>   Sprat   8.648604e+11 8.404162e+11 8.165474e+11 7.932670e+11 7.705861e+11 #>   Sandeel 2.882208e+12 2.809112e+12 2.737426e+12 2.667130e+12 2.598203e+12 #>   N.pout  4.706644e+11 4.633969e+11 4.572473e+11 4.522074e+11 4.482674e+11 #>   Herring 4.880076e+12 4.757089e+12 4.636731e+12 4.518954e+12 4.403712e+12 #>   Dab     8.755235e+11 8.543821e+11 8.344336e+11 8.157043e+11 7.982209e+11 #>   Whiting 4.870472e+11 4.807399e+11 4.755694e+11 4.715378e+11 4.686496e+11 #>   Sole    9.580188e+11 9.307785e+11 9.044693e+11 8.791052e+11 8.547029e+11 #>   Gurnard 8.521757e+11 8.270259e+11 8.027388e+11 7.793405e+11 7.568597e+11 #>   Plaice  6.845254e+11 6.709646e+11 6.586183e+11 6.475098e+11 6.376564e+11 #>   Haddock 1.134957e+12 1.102305e+12 1.070718e+12 1.040208e+12 1.010795e+12 #>   Cod     4.847956e+11 4.739865e+11 4.642189e+11 4.555211e+11 4.479151e+11 #>   Saithe  3.392279e+11 3.278294e+11 3.170910e+11 3.070257e+11 2.976421e+11 #>          w #> sp                2.85          3.4         4.06         4.84         5.78 #>   Sprat   7.485138e+11 7.270567e+11 7.062193e+11 6.860036e+11 6.664090e+11 #>   Sandeel 2.530632e+12 2.464402e+12 2.399503e+12 2.335926e+12 2.273664e+12 #>   N.pout  4.454181e+11 4.436551e+11 4.429916e+11 4.435017e+11 4.453118e+11 #>   Herring 4.290962e+12 4.180661e+12 4.072770e+12 3.967253e+12 3.864072e+12 #>   Dab     7.820102e+11 7.670991e+11 7.535195e+11 7.413227e+11 7.305772e+11 #>   Whiting 4.669142e+11 4.663520e+11 4.670131e+11 4.690424e+11 4.726658e+11 #>   Sole    8.312812e+11 8.088612e+11 7.874661e+11 7.671245e+11 7.478697e+11 #>   Gurnard 7.353276e+11 7.147772e+11 6.952439e+11 6.767678e+11 6.593935e+11 #>   Plaice  6.290694e+11 6.217539e+11 6.157113e+11 6.109481e+11 6.074755e+11 #>   Haddock 9.825007e+11 9.553532e+11 9.293857e+11 9.046444e+11 8.811874e+11 #>   Cod     4.414163e+11 4.360343e+11 4.317753e+11 4.286481e+11 4.266666e+11 #>   Saithe  2.889446e+11 2.809337e+11 2.736066e+11 2.669588e+11 2.609844e+11 #>          w #> sp                 6.9         8.23         9.82         11.7           14 #>   Sprat   6.474320e+11 6.290660e+11 6.113004e+11 5.941205e+11 5.775062e+11 #>   Sandeel 2.212710e+12 2.153060e+12 2.094708e+12 2.037648e+12 1.981876e+12 #>   N.pout  4.484916e+11 4.531284e+11 4.593704e+11 4.674259e+11 4.766121e+11 #>   Herring 3.763195e+12 3.664591e+12 3.568228e+12 3.474079e+12 3.382116e+12 #>   Dab     7.213281e+11 7.136255e+11 7.075412e+11 7.031723e+11 7.004831e+11 #>   Whiting 4.780215e+11 4.852731e+11 4.946759e+11 5.065830e+11 5.205507e+11 #>   Sole    7.297305e+11 7.127369e+11 6.969241e+11 6.823335e+11 6.689550e+11 #>   Gurnard 6.431606e+11 6.281099e+11 6.142864e+11 6.017406e+11 5.904691e+11 #>   Plaice  6.052925e+11 6.044005e+11 6.048138e+11 6.065654e+11 6.096118e+11 #>   Haddock 8.590644e+11 8.383299e+11 8.190503e+11 8.013038e+11 7.850956e+11 #>   Cod     4.258411e+11 4.261894e+11 4.277454e+11 4.305656e+11 4.346871e+11 #>   Saithe  2.556765e+11 2.510291e+11 2.470394e+11 2.437089e+11 2.410071e+11 #>          w #> sp                16.7         19.9         23.8         28.4         33.8 #>   Sprat   5.614321e+11 5.458669e+11 5.307737e+11 5.161108e+11 5.018333e+11 #>   Sandeel 1.927382e+12 1.874159e+12 1.822196e+12 1.771479e+12 1.721995e+12 #>   N.pout  4.881120e+11 5.023860e+11 5.198802e+11 5.414439e+11 5.680282e+11 #>   Herring 3.292318e+12 3.204664e+12 3.119132e+12 3.035704e+12 2.954363e+12 #>   Dab     6.998584e+11 7.015492e+11 7.056532e+11 7.123267e+11 7.218350e+11 #>   Whiting 5.382433e+11 5.605352e+11 5.876555e+11 6.200826e+11 6.586250e+11 #>   Sole    6.569178e+11 6.463047e+11 6.371542e+11 6.295197e+11 6.234875e+11 #>   Gurnard 5.805965e+11 5.722056e+11 5.653614e+11 5.601518e+11 5.566919e+11 #>   Plaice  6.141721e+11 6.204037e+11 6.283847e+11 6.382426e+11 6.501905e+11 #>   Haddock 7.706089e+11 7.579717e+11 7.473169e+11 7.388211e+11 7.326894e+11 #>   Cod     4.402892e+11 4.475578e+11 4.566862e+11 4.679360e+11 4.816545e+11 #>   Saithe  2.389672e+11 2.376061e+11 2.369487e+11 2.370342e+11 2.379143e+11 #>          w #> sp                40.4         48.2         57.5         68.7         81.9 #>   Sprat   4.878945e+11 4.742494e+11 4.608566e+11 4.476815e+11 4.346985e+11 #>   Sandeel 1.673724e+12 1.626647e+12 1.580740e+12 1.535977e+12 1.492331e+12 #>   N.pout  5.997974e+11 6.313967e+11 6.634961e+11 6.982089e+11 7.353068e+11 #>   Herring 2.875094e+12 2.797862e+12 2.722660e+12 2.649487e+12 2.578339e+12 #>   Dab     7.344681e+11 7.485462e+11 7.645452e+11 7.834527e+11 8.054326e+11 #>   Whiting 7.038372e+11 7.479444e+11 7.922063e+11 8.399299e+11 8.909013e+11 #>   Sole    6.191613e+11 6.162257e+11 6.148288e+11 6.152340e+11 6.175394e+11 #>   Gurnard 5.550945e+11 5.550534e+11 5.567148e+11 5.603452e+11 5.660490e+11 #>   Plaice  6.644866e+11 6.804479e+11 6.984115e+11 7.189749e+11 7.423572e+11 #>   Haddock 7.290876e+11 7.272324e+11 7.273702e+11 7.300150e+11 7.352941e+11 #>   Cod     4.982469e+11 5.175729e+11 5.400832e+11 5.664048e+11 5.969463e+11 #>   Saithe  2.396426e+11 2.422104e+11 2.456730e+11 2.501057e+11 2.555590e+11 #>          w #> sp                97.8          117          139          166          198 #>   Sprat   4.218928e+11 4.092611e+11 3.968118e+11 3.845640e+11 3.725461e+11 #>   Sandeel 1.449772e+12 1.408267e+12 1.367784e+12 1.328289e+12 1.289749e+12 #>   N.pout  7.746584e+11 8.168983e+11 8.603878e+11 9.029173e+11 9.428085e+11 #>   Herring 2.509213e+12 2.442117e+12 2.377043e+12 2.313976e+12 2.252913e+12 #>   Dab     8.306787e+11 8.595563e+11 8.919168e+11 9.273207e+11 9.654858e+11 #>   Whiting 9.450757e+11 1.003435e+12 1.063903e+12 1.122882e+12 1.178019e+12 #>   Sole    6.218547e+11 6.283365e+11 6.370179e+11 6.478624e+11 6.608729e+11 #>   Gurnard 5.739464e+11 5.842129e+11 5.968882e+11 6.119368e+11 6.293554e+11 #>   Plaice  7.687936e+11 7.986207e+11 8.318412e+11 8.682405e+11 9.076348e+11 #>   Haddock 7.433573e+11 7.544467e+11 7.685707e+11 7.856370e+11 8.056243e+11 #>   Cod     6.320979e+11 6.722583e+11 7.175664e+11 7.679187e+11 8.230738e+11 #>   Saithe  2.620794e+11 2.697175e+11 2.784755e+11 2.883157e+11 2.991680e+11 #>          w #> sp                 237          282          337          402          480 #>   Sprat   3.607942e+11 3.493499e+11 3.382583e+11 3.275666e+11 3.173217e+11 #>   Sandeel 1.252130e+12 1.215401e+12 1.179532e+12 1.144494e+12 1.110266e+12 #>   N.pout  9.796362e+11 1.012900e+12 1.041979e+12 1.066160e+12 1.084712e+12 #>   Herring 2.193866e+12 2.136852e+12 2.081886e+12 2.028986e+12 1.978175e+12 #>   Dab     1.006344e+12 1.049778e+12 1.095560e+12 1.143352e+12 1.192706e+12 #>   Whiting 1.228684e+12 1.274282e+12 1.314049e+12 1.347104e+12 1.372550e+12 #>   Sole    6.760999e+11 6.935757e+11 7.132938e+11 7.352033e+11 7.592051e+11 #>   Gurnard 6.491934e+11 6.714676e+11 6.961458e+11 7.231397e+11 7.522995e+11 #>   Plaice  9.499075e+11 9.948489e+11 1.042115e+12 1.091218e+12 1.141535e+12 #>   Haddock 8.286297e+11 8.547128e+11 8.838892e+11 9.161230e+11 9.513230e+11 #>   Cod     8.826528e+11 9.460278e+11 1.012295e+12 1.080278e+12 1.148551e+12 #>   Saithe  3.109309e+11 3.234447e+11 3.364839e+11 3.497529e+11 3.628892e+11 #>          w #> sp                 573          683          816          973         1160 #>   Sprat   3.075696e+11 2.983535e+11 2.897130e+11 2.816830e+11 2.742930e+11 #>   Sandeel 1.076825e+12 1.044158e+12 1.012254e+12 9.811101e+11 9.507288e+11 #>   N.pout  1.096971e+12 1.102413e+12 1.100688e+12 1.091653e+12 1.075401e+12 #>   Herring 1.929476e+12 1.882914e+12 1.838520e+12 1.796326e+12 1.756367e+12 #>   Dab     1.243085e+12 1.293868e+12 1.344361e+12 1.393808e+12 1.441409e+12 #>   Whiting 1.389589e+12 1.397599e+12 1.396176e+12 1.385160e+12 1.364653e+12 #>   Sole    7.851500e+11 8.128355e+11 8.420038e+11 8.723406e+11 9.034763e+11 #>   Gurnard 7.834121e+11 8.161990e+11 8.503144e+11 8.853461e+11 9.208195e+11 #>   Plaice  1.192317e+12 1.242705e+12 1.291747e+12 1.338430e+12 1.381701e+12 #>   Haddock 9.893429e+11 1.029980e+12 1.072974e+12 1.118004e+12 1.164689e+12 #>   Cod     1.215485e+12 1.279308e+12 1.338184e+12 1.390300e+12 1.433953e+12 #>   Saithe  3.754724e+11 3.870409e+11 3.971143e+11 4.052217e+11 4.109342e+11 #>          w #> sp                1390         1650         1970         2360         2810 #>   Sprat   2.675661e+11 2.615190e+11 2.561610e+11 2.514939e+11 2.475125e+11 #>   Sandeel 9.211212e+11 8.923065e+11 8.643135e+11 8.371815e+11 8.109621e+11 #>   N.pout  1.052228e+12 1.022636e+12 9.873112e+11 9.471088e+11 9.029457e+11 #>   Herring 1.718682e+12 1.683310e+12 1.650293e+12 1.619676e+12 1.591501e+12 #>   Dab     1.486337e+12 1.527761e+12 1.564875e+12 1.596904e+12 1.623120e+12 #>   Whiting 1.335014e+12 1.296873e+12 1.251128e+12 1.198833e+12 1.141097e+12 #>   Sole    9.349888e+11 9.664100e+11 9.972330e+11 1.026921e+12 1.054913e+12 #>   Gurnard 9.562027e+11 9.909167e+11 1.024348e+12 1.055860e+12 1.084806e+12 #>   Plaice  1.420508e+12 1.453835e+12 1.480742e+12 1.500393e+12 1.512088e+12 #>   Haddock 1.212589e+12 1.261207e+12 1.309995e+12 1.358363e+12 1.405674e+12 #>   Cod     1.467644e+12 1.490152e+12 1.500606e+12 1.498519e+12 1.483810e+12 #>   Saithe  4.138921e+11 4.138331e+11 4.106146e+11 4.042338e+11 3.948341e+11 #>          w #> sp                3350         4000         4780         5700         6800 #>   Sprat   2.442045e+11 2.415515e+11 2.395299e+11 2.381126e+11 2.372709e+11 #>   Sandeel 7.857206e+11 7.615380e+11 7.385138e+11 7.167686e+11 6.964479e+11 #>   N.pout  8.558425e+11 8.068866e+11 7.571781e+11 7.077836e+11 6.597026e+11 #>   Herring 1.565815e+12 1.542660e+12 1.522082e+12 1.504120e+12 1.488814e+12 #>   Dab     1.642882e+12 1.655656e+12 1.661034e+12 1.658745e+12 1.648667e+12 #>   Whiting 1.079155e+12 1.014336e+12 9.480004e+11 8.814879e+11 8.160784e+11 #>   Sole    1.080647e+12 1.103565e+12 1.123139e+12 1.138878e+12 1.150345e+12 #>   Gurnard 1.110556e+12 1.132511e+12 1.150124e+12 1.162920e+12 1.170512e+12 #>   Plaice  1.515294e+12 1.509671e+12 1.495087e+12 1.471626e+12 1.439583e+12 #>   Haddock 1.451273e+12 1.494494e+12 1.534674e+12 1.571173e+12 1.603381e+12 #>   Cod     1.456810e+12 1.418244e+12 1.369192e+12 1.311038e+12 1.245406e+12 #>   Saithe  3.827061e+11 3.682788e+11 3.521008e+11 3.348143e+11 3.171210e+11 #>          w #> sp                8120         9690        11600        13800        16500 #>   Sprat   2.369764e+11 2.372041e+11 2.379352e+11 2.391600e+11 2.408820e+11 #>   Sandeel 6.777253e+11 6.608078e+11 6.459398e+11 6.334083e+11 6.235484e+11 #>   N.pout  6.138002e+11 5.707876e+11 5.312037e+11 4.954014e+11 4.635453e+11 #>   Herring 1.476200e+12 1.466307e+12 1.459161e+12 1.454778e+12 1.453168e+12 #>   Dab     1.630830e+12 1.605419e+12 1.572761e+12 1.533325e+12 1.487700e+12 #>   Whiting 7.529269e+11 6.930320e+11 6.372060e+11 5.860496e+11 5.399347e+11 #>   Sole    1.157171e+12 1.159069e+12 1.155839e+12 1.147379e+12 1.133688e+12 #>   Gurnard 1.172615e+12 1.169054e+12 1.159777e+12 1.144854e+12 1.124478e+12 #>   Plaice  1.399461e+12 1.351946e+12 1.297894e+12 1.238292e+12 1.174230e+12 #>   Haddock 1.630740e+12 1.652749e+12 1.668985e+12 1.679113e+12 1.682894e+12 #>   Cod     1.174096e+12 1.099006e+12 1.022066e+12 9.451635e+11 8.700828e+11 #>   Saithe  2.997431e+11 2.833815e+11 2.686750e+11 2.561623e+11 2.462513e+11 #>          w #> sp               19600        23400        28000        33400        39900 #>   Sprat   2.431210e+11 2.459176e+11 2.493375e+11 2.534767e+11 2.584665e+11 #>   Sandeel 6.167476e+11 6.134504e+11 6.141616e+11 6.194485e+11 6.299399e+11 #>   N.pout  4.356178e+11 4.114370e+11 3.906852e+11 3.729522e+11 3.577903e+11 #>   Herring 1.454331e+12 1.458257e+12 1.464922e+12 1.474292e+12 1.486318e+12 #>   Dab     1.436576e+12 1.380731e+12 1.321002e+12 1.258274e+12 1.193457e+12 #>   Whiting 4.990002e+11 4.631627e+11 4.321483e+11 4.055474e+11 3.828895e+11 #>   Sole    1.114866e+12 1.091114e+12 1.062726e+12 1.030087e+12 9.936603e+11 #>   Gurnard 1.098961e+12 1.068720e+12 1.034269e+12 9.962018e+11 9.551771e+11 #>   Plaice  1.106863e+12 1.037373e+12 9.669326e+11 8.966738e+11 8.276575e+11 #>   Haddock 1.680191e+12 1.670977e+12 1.655336e+12 1.633460e+12 1.605653e+12 #>   Cod     7.984432e+11 7.316491e+11 6.708506e+11 6.169156e+11 5.704166e+11 #>   Saithe  2.391969e+11 2.350898e+11 2.338548e+11 2.352600e+11 2.389343e+11 # }"},{"path":"https://sizespectrum.org/mizer/reference/getPredMort.html","id":null,"dir":"Reference","previous_headings":"","what":"Get total predation mortality rate — getPredMort","title":"Get total predation mortality rate — getPredMort","text":"Calculates total predation mortality rate \\(\\mu_{p,}(w_p)\\) (units 1/year) prey species prey size: $$\\mu_{p.}(w_p) = \\sum_j {\\tt pred\\_rate}_j(w_p)\\, \\theta_{ji}.$$ predation rate pred_rate returned getPredRate().","code":""},{"path":"https://sizespectrum.org/mizer/reference/getPredMort.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get total predation mortality rate — getPredMort","text":"","code":"getPredMort(object, n, n_pp, n_other, time_range, drop = TRUE, ...)"},{"path":"https://sizespectrum.org/mizer/reference/getPredMort.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get total predation mortality rate — getPredMort","text":"object MizerParams object MizerSim object n matrix species abundances (species x size). n_pp vector resource abundance size n_other list abundances dynamical components ecosystem time_range vector times. range times relevant, .e., times smallest largest selected. time_range can character numeric. drop TRUE dimension length 1 removed returned array. ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/getPredMort.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get total predation mortality rate — getPredMort","text":"MizerParams object passed , function returns two dimensional array (prey species x prey size) based abundances also passed . MizerSim object passed , function returns three dimensional array (time step x prey species x prey size) predation mortality calculated every time step simulation. Dimensions may dropped length 1 unless drop = FALSE.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getPredMort.html","id":"your-own-predation-mortality-function","dir":"Reference","previous_headings":"","what":"Your own predation mortality function","title":"Get total predation mortality rate — getPredMort","text":"default getPredMort() calls mizerPredMort(). However can replace alternative predation mortality function. function called \"myPredMort\" register MizerParams object params   function called instead mizerPredMort(), arguments.","code":"params <- setRateFunction(params, \"PredMort\", \"myPredMort\")"},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/getPredMort.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get total predation mortality rate — getPredMort","text":"","code":"# \\donttest{ params <- NS_params # Predation mortality in initial state M2 <- getPredMort(params) str(M2) #>  num [1:12, 1:100] 3.64 4.43 4.31 4.89 4.8 ... #>  - attr(*, \"dimnames\")=List of 2 #>   ..$ prey  : chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   ..$ w_prey: chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... # With constant fishing effort for all gears for 20 time steps sim <- project(params, t_max = 20, effort = 0.5) # Get predation mortality at one time step M2 <- getPredMort(params, n = N(sim)[15, , ], n_pp = NResource(sim)[15, ]) # Get predation mortality at all saved time steps M2 <- getPredMort(sim) str(M2) #>  num [1:21, 1:12, 1:100] 3.64 3.42 3.29 3.2 3.16 ... #>  - attr(*, \"dimnames\")=List of 3 #>   ..$ time  : chr [1:21] \"0\" \"1\" \"2\" \"3\" ... #>   ..$ prey  : chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   ..$ w_prey: chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... # Get predation mortality over the years 15 - 20 M2 <- getPredMort(sim, time_range = c(15, 20)) # }"},{"path":"https://sizespectrum.org/mizer/reference/getPredRate.html","id":null,"dir":"Reference","previous_headings":"","what":"Get predation rate — getPredRate","title":"Get predation rate — getPredRate","text":"Calculates potential rate (units 1/year) prey individual given size \\(w\\) killed predators species \\(j\\). formulas $${\\tt pred\\_rate}_j(w_p) = \\int \\phi_j(w,w_p) (1-f_j(w))   \\gamma_j(w) N_j(w) \\, dw.$$ potential rate used getPredMort() calculate realised predation mortality rate prey individual.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getPredRate.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get predation rate — getPredRate","text":"","code":"getPredRate(   params,   n = initialN(params),   n_pp = initialNResource(params),   n_other = initialNOther(params),   t = 0,   ... )"},{"path":"https://sizespectrum.org/mizer/reference/getPredRate.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get predation rate — getPredRate","text":"params MizerParams object n matrix species abundances (species x size). n_pp vector resource abundance size n_other list abundances dynamical components ecosystem t time calculation (used standard mizer rate functions useful extensions time-dependent parameters.) ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/getPredRate.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get predation rate — getPredRate","text":"two dimensional array (predator species x prey size), prey size runs fish community plus resource spectrum.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getPredRate.html","id":"your-own-predation-rate-function","dir":"Reference","previous_headings":"","what":"Your own predation rate function","title":"Get predation rate — getPredRate","text":"default getPredRate() calls mizerPredRate(). However can replace alternative predation rate function. function called \"myPredRate\" register MizerParams object params   function called instead mizerPredRate(), arguments.","code":"params <- setRateFunction(params, \"PredRate\", \"myPredRate\")"},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/getPredRate.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get predation rate — getPredRate","text":"","code":"# \\donttest{ params <- NS_params # Predation rate in initial state pred_rate <- getPredRate(params) str(pred_rate) #>  num [1:12, 1:226] 8.35e-17 6.05e-10 9.75e-16 1.19e-05 1.04e-17 ... #>  - attr(*, \"dimnames\")=List of 2 #>   ..$ sp    : chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   ..$ w_prey: chr [1:226] \"2.12e-13\" \"2.53e-13\" \"3.02e-13\" \"3.61e-13\" ... # With constant fishing effort for all gears for 20 time steps sim <- project(params, t_max = 20, effort = 0.5) # Get the feeding level at one time step pred_rate <- getPredRate(params, n = N(sim)[15, , ],                           n_pp = NResource(sim)[15, ], t = 15) # }"},{"path":"https://sizespectrum.org/mizer/reference/getProportionOfLargeFish.html","id":null,"dir":"Reference","previous_headings":"","what":"Calculate the proportion of large fish — getProportionOfLargeFish","title":"Calculate the proportion of large fish — getProportionOfLargeFish","text":"Calculates proportion large fish time MizerSim class within user defined size limits. default option use whole size range. can specify minimum maximum size ranges species also threshold size large fish. Sizes can expressed weight size. Lengths take precedence weights (.e. min_l min_w supplied, min_l used). can also specify species used calculation. function can used calculate Large Fish Index. proportion based either abundance biomass.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getProportionOfLargeFish.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Calculate the proportion of large fish — getProportionOfLargeFish","text":"","code":"getProportionOfLargeFish(   sim,   species = NULL,   threshold_w = 100,   threshold_l = NULL,   biomass_proportion = TRUE,   ... )"},{"path":"https://sizespectrum.org/mizer/reference/getProportionOfLargeFish.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Calculate the proportion of large fish — getProportionOfLargeFish","text":"sim MizerSim object species species selected. Optional. default target species selected. vector species names, numeric vector species indices, logical vector indicating species whether selected (TRUE) . threshold_w size used cutoff large small fish. Default value 100. threshold_l size used cutoff large small fish. biomass_proportion boolean value. TRUE proportion calculated based biomass, FALSE based numbers individuals. Default TRUE. ... Arguments passed get_size_range_array min_w Smallest weight size range. Defaults smallest weight model. max_w Largest weight size range. Defaults largest weight model. min_l Smallest length size range. supplied, takes precedence min_w. max_l Largest length size range. supplied, takes precedence max_w.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getProportionOfLargeFish.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Calculate the proportion of large fish — getProportionOfLargeFish","text":"vector containing proportion large fish time","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/getProportionOfLargeFish.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Calculate the proportion of large fish — getProportionOfLargeFish","text":"","code":"lfi <- getProportionOfLargeFish(NS_sim, min_w = 10, max_w = 5000,                                  threshold_w = 500) years <- c(\"1972\", \"2010\") lfi[years] #>      1972      2010  #> 0.1425938 0.2573979  getProportionOfLargeFish(NS_sim)[years] #>      1972      2010  #> 0.3115163 0.4441647  getProportionOfLargeFish(NS_sim, species=c(\"Herring\",\"Sprat\",\"N.pout\"))[years] #>       1972       2010  #> 0.06371869 0.21844009  getProportionOfLargeFish(NS_sim, min_w = 10, max_w = 5000)[years] #>      1972      2010  #> 0.3474937 0.5662073  getProportionOfLargeFish(NS_sim, min_w = 10, max_w = 5000,     threshold_w = 500, biomass_proportion = FALSE)[years] #>       1972       2010  #> 0.00441820 0.01212436"},{"path":"https://sizespectrum.org/mizer/reference/getRDD.html","id":null,"dir":"Reference","previous_headings":"","what":"Get density dependent reproduction rate — getRDD","title":"Get density dependent reproduction rate — getRDD","text":"Calculates density dependent rate egg production \\(R_i\\) (units 1/year) species. flux entering smallest size class species. density dependent rate density independent rate obtained getRDI() put density dependence function. Beverton-Holt function BevertonHoltRDD() default, can changed. See setReproduction() details.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getRDD.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get density dependent reproduction rate — getRDD","text":"","code":"getRDD(   params,   n = initialN(params),   n_pp = initialNResource(params),   n_other = initialNOther(params),   t = 0,   rdi = getRDI(params, n = n, n_pp = n_pp, n_other = n_other, t = t),   ... )"},{"path":"https://sizespectrum.org/mizer/reference/getRDD.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get density dependent reproduction rate — getRDD","text":"params MizerParams object n matrix species abundances (species x size). n_pp vector resource abundance size n_other list abundances dynamical components ecosystem t time calculation (used standard mizer rate functions useful extensions time-dependent parameters.) rdi vector density-independent reproduction rates species. specified, rdi calculated internally using getRDI(). ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/getRDD.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get density dependent reproduction rate — getRDD","text":"numeric vector length number species.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/getRDD.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get density dependent reproduction rate — getRDD","text":"","code":"# \\donttest{ params <- NS_params # Project with constant fishing effort for all gears for 20 time steps sim <- project(params, t_max = 20, effort = 0.5) # Get the rate at a particular time step getRDD(params, n = N(sim)[15, , ], n_pp = NResource(sim)[15, ], t = 15) #>        Sprat      Sandeel       N.pout      Herring          Dab      Whiting  #> 7.273519e+11 4.098406e+11 9.405199e+12 1.103948e+12 1.115039e+10 5.394960e+11  #>         Sole      Gurnard       Plaice      Haddock          Cod       Saithe  #> 3.855063e+10 7.536194e+11 2.654321e+13 1.733106e+12 8.259403e+09 1.117118e+11  # }"},{"path":"https://sizespectrum.org/mizer/reference/getRDI.html","id":null,"dir":"Reference","previous_headings":"","what":"Get density independent rate of egg production — getRDI","title":"Get density independent rate of egg production — getRDI","text":"Calculates density-independent rate total egg production \\(R_{di}\\) (units 1/year) density dependence, species.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getRDI.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get density independent rate of egg production — getRDI","text":"","code":"getRDI(   params,   n = initialN(params),   n_pp = initialNResource(params),   n_other = initialNOther(params),   t = 0,   ... )"},{"path":"https://sizespectrum.org/mizer/reference/getRDI.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get density independent rate of egg production — getRDI","text":"params MizerParams object n matrix species abundances (species x size). n_pp vector resource abundance size n_other list abundances dynamical components ecosystem t time calculation (used standard mizer rate functions useful extensions time-dependent parameters.) ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/getRDI.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get density independent rate of egg production — getRDI","text":"numeric vector length number species.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getRDI.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Get density independent rate of egg production — getRDI","text":"rate obtained taking per capita rate \\(E_r(w)\\psi(w)\\) energy invested reproduction, calculated getERepro(), multiplying number individuals\\(N(w)\\) integrating sizes \\(w\\) multiplying reproductive efficiency \\(\\epsilon\\) dividing egg size w_min, factor two account two sexes: $$R_{di} = \\frac{\\epsilon}{2 w_{min}} \\int N(w)  E_r(w) \\psi(w) \\, dw$$ Used getRDD() calculate actual, density dependent rate. See setReproduction() details.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getRDI.html","id":"your-own-reproduction-function","dir":"Reference","previous_headings":"","what":"Your own reproduction function","title":"Get density independent rate of egg production — getRDI","text":"default getRDI() calls mizerRDI(). However can replace alternative reproduction function. function called \"myRDI\" register MizerParams object params   function called instead mizerRDI(), arguments. example alternative reproduction function see constantEggRDI().","code":"params <- setRateFunction(params, \"RDI\", \"myRDI\")"},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/getRDI.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get density independent rate of egg production — getRDI","text":"","code":"# \\donttest{ params <- NS_params # Project with constant fishing effort for all gears for 20 time steps sim <- project(params, t_max = 20, effort = 0.5) # Get the density-independent reproduction rate at a particular time step getRDI(params, n = N(sim)[15, , ], n_pp = NResource(sim)[15, ], t = 15) #>        Sprat      Sandeel       N.pout      Herring          Dab      Whiting  #> 5.041129e+13 1.053968e+15 9.020326e+13 2.024648e+14 2.517323e+12 3.476507e+13  #>         Sole      Gurnard       Plaice      Haddock          Cod       Saithe  #> 9.988220e+12 1.387214e+12 2.839019e+13 2.983237e+13 1.143392e+14 4.340615e+13  # }"},{"path":"https://sizespectrum.org/mizer/reference/getRates.html","id":null,"dir":"Reference","previous_headings":"","what":"Get all rates — getRates","title":"Get all rates — getRates","text":"Calls rate functions sequence collects results list.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getRates.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get all rates — getRates","text":"","code":"getRates(   params,   n = initialN(params),   n_pp = initialNResource(params),   n_other = initialNOther(params),   effort,   t = 0,   ... )"},{"path":"https://sizespectrum.org/mizer/reference/getRates.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get all rates — getRates","text":"params MizerParams object n matrix species abundances (species x size). n_pp vector resource abundance size n_other list abundances dynamical components ecosystem effort effort fishing gear t time calculation (used standard mizer rate functions useful extensions time-dependent parameters.) ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/getRates.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get all rates — getRates","text":"List rates.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getRates.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Get all rates — getRates","text":"default function returns list following components: encounter mizerEncounter() feeding_level mizerFeedingLevel() e mizerEReproAndGrowth() e_repro mizerERepro() e_growth mizerEGrowth() pred_rate mizerPredRate() pred_mort mizerPredMort() f_mort mizerFMort() mort mizerMort() rdi mizerRDI() rdd BevertonHoltRDD() resource_mort mizerResourceMort() However can replace rate functions rate function wish, see setRateFunction() details.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/getRates.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get all rates — getRates","text":"","code":"rates <- getRates(NS_params) names(rates) #>  [1] \"encounter\"     \"feeding_level\" \"e\"             \"e_repro\"       #>  [5] \"e_growth\"      \"pred_rate\"     \"pred_mort\"     \"f_mort\"        #>  [9] \"mort\"          \"rdi\"           \"rdd\"           \"resource_mort\" identical(rates$encounter, getEncounter(NS_params)) #> [1] TRUE"},{"path":"https://sizespectrum.org/mizer/reference/getReproductionLevel.html","id":null,"dir":"Reference","previous_headings":"","what":"Get reproduction level — getReproductionLevel","title":"Get reproduction level — getReproductionLevel","text":"reproduction level ratio density-dependent reproduction rate maximal reproduction rate.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getReproductionLevel.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get reproduction level — getReproductionLevel","text":"","code":"getReproductionLevel(params)"},{"path":"https://sizespectrum.org/mizer/reference/getReproductionLevel.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get reproduction level — getReproductionLevel","text":"params MizerParams object","code":""},{"path":"https://sizespectrum.org/mizer/reference/getReproductionLevel.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get reproduction level — getReproductionLevel","text":"named vector reproduction level species.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getReproductionLevel.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get reproduction level — getReproductionLevel","text":"","code":"getReproductionLevel(NS_params) #>      Sprat    Sandeel     N.pout    Herring        Dab    Whiting       Sole  #> 0.99074238 0.99987053 0.92829319 0.99198802 0.99578514 0.98718674 0.99643774  #>    Gurnard     Plaice    Haddock        Cod     Saithe  #> 0.44189813 0.08022106 0.94443443 0.99993658 0.99767830   # The reproduction level can be changed without changing the steady state: params <- setBevertonHolt(NS_params, reproduction_level = 0.9) #> Warning: The following species require an unrealistic value greater than 1 for `erepro`: Gurnard, Plaice getReproductionLevel(params) #>   Sprat Sandeel  N.pout Herring     Dab Whiting    Sole Gurnard  Plaice Haddock  #>     0.9     0.9     0.9     0.9     0.9     0.9     0.9     0.9     0.9     0.9  #>     Cod  Saithe  #>     0.9     0.9   # The result is the ratio of RDD and R_max identical(getRDD(params) / species_params(params)$R_max,           getReproductionLevel(params)) #> [1] TRUE"},{"path":"https://sizespectrum.org/mizer/reference/getResourceDynamics.html","id":null,"dir":"Reference","previous_headings":"","what":"Deprecated functions for getting resource parameters — getResourceDynamics","title":"Deprecated functions for getting resource parameters — getResourceDynamics","text":"Use resource_dynamics(), resource_level(), resource_rate() resource_capacity() instead.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getResourceDynamics.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Deprecated functions for getting resource parameters — getResourceDynamics","text":"","code":"getResourceDynamics(params)  getResourceLevel(params)  getResourceRate(params)  getResourceCapacity(params)"},{"path":"https://sizespectrum.org/mizer/reference/getResourceDynamics.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Deprecated functions for getting resource parameters — getResourceDynamics","text":"params MizerParams object","code":""},{"path":"https://sizespectrum.org/mizer/reference/getResourceDynamics.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Deprecated functions for getting resource parameters — getResourceDynamics","text":"Name function determines resource dynamics","code":""},{"path":"https://sizespectrum.org/mizer/reference/getResourceMort.html","id":null,"dir":"Reference","previous_headings":"","what":"Get predation mortality rate for resource — getResourceMort","title":"Get predation mortality rate for resource — getResourceMort","text":"Calculates predation mortality rate \\(\\mu_p(w)\\) resource spectrum resource size (units 1/year).","code":""},{"path":"https://sizespectrum.org/mizer/reference/getResourceMort.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get predation mortality rate for resource — getResourceMort","text":"","code":"getResourceMort(   params,   n = initialN(params),   n_pp = initialNResource(params),   n_other = initialNOther(params),   t = 0,   ... )"},{"path":"https://sizespectrum.org/mizer/reference/getResourceMort.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get predation mortality rate for resource — getResourceMort","text":"params MizerParams object n matrix species abundances (species x size). n_pp vector resource abundance size n_other list abundances dynamical components ecosystem t time calculation (used standard mizer rate functions useful extensions time-dependent parameters.) ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/getResourceMort.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get predation mortality rate for resource — getResourceMort","text":"vector mortality rate resource size.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getResourceMort.html","id":"your-own-resource-mortality-function","dir":"Reference","previous_headings":"","what":"Your own resource mortality function","title":"Get predation mortality rate for resource — getResourceMort","text":"default getResourceMort() calls mizerResourceMort(). However can replace alternative resource mortality function. function called \"myResourceMort\" register MizerParams object params   function called instead mizerResourceMort(), arguments.","code":"params <- setRateFunction(params, \"ResourceMort\", \"myResourceMort\")"},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/getResourceMort.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get predation mortality rate for resource — getResourceMort","text":"","code":"# \\donttest{ params <- NS_params # With constant fishing effort for all gears for 20 time steps sim <- project(params, t_max = 20, effort = 0.5) # Get resource mortality at one time step getResourceMort(params, n = N(sim)[15, , ], n_pp = NResource(sim)[15, ]) #>     2.12e-13     2.53e-13     3.02e-13     3.61e-13      4.3e-13     5.14e-13  #> 1.191600e-05 1.465460e-05 1.798292e-05 2.201903e-05 2.690274e-05 3.279930e-05  #>     6.13e-13     7.31e-13     8.73e-13     1.04e-12     1.24e-12     1.48e-12  #> 3.990356e-05 4.844483e-05 5.869238e-05 7.096180e-05 8.562223e-05 1.031046e-04  #>     1.77e-12     2.11e-12     2.52e-12     3.01e-12     3.59e-12     4.28e-12  #> 1.239110e-04 1.486254e-04 1.779260e-04 2.125986e-04 2.535523e-04 3.018375e-04  #>     5.11e-12      6.1e-12     7.28e-12     8.69e-12     1.04e-11     1.24e-11  #> 3.586655e-04 4.254310e-04 5.037376e-04 5.954260e-04 7.026065e-04 8.276945e-04  #>     1.48e-11     1.76e-11      2.1e-11     2.51e-11     2.99e-11     3.57e-11  #> 9.734509e-04 1.143027e-03 1.340016e-03 1.568506e-03 1.833146e-03 2.139215e-03  #>     4.26e-11     5.09e-11     6.07e-11     7.25e-11     8.65e-11     1.03e-10  #> 2.492696e-03 2.900367e-03 3.369892e-03 3.909929e-03 4.530249e-03 5.241863e-03  #>     1.23e-10     1.47e-10     1.75e-10     2.09e-10      2.5e-10     2.98e-10  #> 6.057169e-03 6.990113e-03 8.056368e-03 9.273534e-03 1.066136e-02 1.224199e-02  #>     3.56e-10     4.25e-10     5.07e-10     6.05e-10     7.21e-10     8.61e-10  #> 1.404025e-02 1.608396e-02 1.840426e-02 2.103607e-02 2.401848e-02 2.739529e-02  #>     1.03e-09     1.23e-09     1.46e-09     1.75e-09     2.08e-09     2.49e-09  #> 3.121561e-02 3.553457e-02 4.041409e-02 4.592387e-02 5.214254e-02 5.915897e-02  #>     2.97e-09     3.54e-09     4.23e-09     5.04e-09     6.02e-09     7.18e-09  #> 6.707381e-02 7.600133e-02 8.607129e-02 9.743112e-02 1.102481e-01 1.247118e-01  #>     8.57e-09     1.02e-08     1.22e-08     1.46e-08     1.74e-08     2.07e-08  #> 1.410363e-01 1.594636e-01 1.802665e-01 2.037529e-01 2.302707e-01 2.602140e-01  #>     2.48e-08     2.95e-08     3.53e-08     4.21e-08     5.02e-08     5.99e-08  #> 2.940298e-01 3.322254e-01 3.753760e-01 4.241321e-01 4.792265e-01 5.414796e-01  #>     7.15e-08     8.53e-08     1.02e-07     1.22e-07     1.45e-07     1.73e-07  #> 6.118044e-01 6.912085e-01 7.807945e-01 8.817570e-01 9.953761e-01 1.123005e+00  #>     2.07e-07     2.46e-07     2.94e-07     3.51e-07     4.19e-07        5e-07  #> 1.266056e+00 1.425971e+00 1.604200e+00 1.802155e+00 2.021173e+00 2.262461e+00  #>     5.96e-07     7.12e-07     8.49e-07     1.01e-06     1.21e-06     1.44e-06  #> 2.527036e+00 2.815672e+00 3.128828e+00 3.466589e+00 3.828609e+00 4.214051e+00  #>     1.72e-06     2.06e-06     2.45e-06     2.93e-06     3.49e-06     4.17e-06  #> 4.621551e+00 5.049193e+00 5.494492e+00 5.954415e+00 6.425412e+00 6.903482e+00  #>     4.98e-06     5.94e-06     7.09e-06     8.46e-06     1.01e-05      1.2e-05  #> 7.384253e+00 7.863102e+00 8.335280e+00 8.796067e+00 9.240932e+00 9.665706e+00  #>     1.44e-05     1.71e-05     2.05e-05     2.44e-05     2.91e-05     3.48e-05  #> 1.006675e+01 1.044112e+01 1.078672e+01 1.110244e+01 1.138819e+01 1.164500e+01  #>     4.15e-05     4.95e-05     5.91e-05     7.05e-05     8.42e-05        1e-04  #> 1.187490e+01 1.208070e+01 1.226570e+01 1.243314e+01 1.258558e+01 1.272433e+01  #>      0.00012     0.000143     0.000171     0.000204     0.000243      0.00029  #> 1.284898e+01 1.295739e+01 1.304607e+01 1.311126e+01 1.315020e+01 1.316268e+01  #>     0.000346     0.000413     0.000493     0.000588     0.000702     0.000838  #> 1.315211e+01 1.312594e+01 1.309514e+01 1.307283e+01 1.307241e+01 1.310551e+01  #>        0.001      0.00119      0.00142       0.0017      0.00203      0.00242  #> 1.317995e+01 1.330042e+01 1.346681e+01 1.367535e+01 1.391969e+01 1.419202e+01  #>      0.00289      0.00345      0.00411      0.00491      0.00586      0.00699  #> 1.448407e+01 1.478786e+01 1.509615e+01 1.540257e+01 1.570168e+01 1.598885e+01  #>      0.00834      0.00995       0.0119       0.0142       0.0169       0.0202  #> 1.626016e+01 1.651232e+01 1.674253e+01 1.694847e+01 1.712823e+01 1.728027e+01  #>       0.0241       0.0288       0.0343       0.0409       0.0489       0.0583  #> 1.740341e+01 1.749673e+01 1.755959e+01 1.759152e+01 1.759215e+01 1.756122e+01  #>       0.0696        0.083       0.0991        0.118        0.141        0.168  #> 1.749844e+01 1.740347e+01 1.727591e+01 1.711521e+01 1.692075e+01 1.669182e+01  #>        0.201         0.24        0.286        0.342        0.408        0.486  #> 1.642767e+01 1.612762e+01 1.579110e+01 1.541784e+01 1.500795e+01 1.456207e+01  #>         0.58        0.693        0.827        0.987         1.18          1.4  #> 1.408146e+01 1.356818e+01 1.302509e+01 1.245594e+01 1.186536e+01 1.125883e+01  #>         1.68            2         2.39         2.85          3.4         4.06  #> 1.064257e+01 1.002339e+01 9.408524e+00 8.805382e+00 8.221287e+00 7.663203e+00  #>         4.84         5.78          6.9         8.23         9.82         11.7  #> 7.137449e+00 6.649430e+00 6.203383e+00 5.802174e+00 5.447164e+00 5.138144e+00  #>           14         16.7         19.9         23.8         28.4         33.8  #> 4.873209e+00 4.648827e+00 4.458701e+00 4.293528e+00 4.147438e+00 4.025062e+00  #>         40.4         48.2         57.5         68.7         81.9         97.8  #> 3.923228e+00 3.833172e+00 3.745724e+00 3.652449e+00 3.546606e+00 3.423801e+00  #>          117          139          166          198          237          282  #> 3.281837e+00 3.119213e+00 2.937145e+00 2.737836e+00 2.524583e+00 2.301380e+00  #>          337          402          480          573          683          816  #> 2.072726e+00 1.843382e+00 1.618080e+00 1.401232e+00 1.196692e+00 1.007558e+00  #>          973         1160         1390         1650         1970         2360  #> 8.360481e-01 6.835105e-01 5.504124e-01 4.364156e-01 3.406147e-01 2.616301e-01  #>         2810         3350         4000         4780         5700         6800  #> 1.977202e-01 1.469509e-01 1.073462e-01 7.700117e-02 5.416234e-02 3.728088e-02  #>         8120         9690        11600        13800        16500        19600  #> 2.503301e-02 1.632133e-02 1.026069e-02 6.153628e-03 3.461409e-03 1.775429e-03  #>        23400        28000        33400        39900  #> 7.899871e-04 2.759636e-04 5.803739e-05 3.902282e-16  # }"},{"path":"https://sizespectrum.org/mizer/reference/getSSB.html","id":null,"dir":"Reference","previous_headings":"","what":"Calculate the SSB of species — getSSB","title":"Calculate the SSB of species — getSSB","text":"Calculates spawning stock biomass (SSB) time species MizerSim class. SSB calculated total mass mature individuals.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getSSB.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Calculate the SSB of species — getSSB","text":"","code":"getSSB(object)"},{"path":"https://sizespectrum.org/mizer/reference/getSSB.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Calculate the SSB of species — getSSB","text":"object object class MizerParams MizerSim`.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getSSB.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Calculate the SSB of species — getSSB","text":"called MizerParams object, vector SSB grams species model. called MizerSim object, array (time x species) containing SSB grams time step species.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/getSSB.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Calculate the SSB of species — getSSB","text":"","code":"ssb <- getSSB(NS_sim) ssb[c(\"1972\", \"2010\"), c(\"Herring\", \"Cod\")] #>       sp #> time        Herring          Cod #>   1972  44290356621 375924484131 #>   2010 172765918920 347442607081"},{"path":"https://sizespectrum.org/mizer/reference/getTimes.html","id":null,"dir":"Reference","previous_headings":"","what":"Times for which simulation results are available — getTimes","title":"Times for which simulation results are available — getTimes","text":"Times simulation results available","code":""},{"path":"https://sizespectrum.org/mizer/reference/getTimes.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Times for which simulation results are available — getTimes","text":"","code":"getTimes(sim)"},{"path":"https://sizespectrum.org/mizer/reference/getTimes.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Times for which simulation results are available — getTimes","text":"sim MizerSim object","code":""},{"path":"https://sizespectrum.org/mizer/reference/getTimes.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Times for which simulation results are available — getTimes","text":"numeric vectors times (years) simulation results stored MizerSim object.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getTimes.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Times for which simulation results are available — getTimes","text":"","code":"getTimes(NS_sim) #>  [1] 1967 1968 1969 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 1980 1981 #> [16] 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 #> [31] 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010"},{"path":"https://sizespectrum.org/mizer/reference/getYield.html","id":null,"dir":"Reference","previous_headings":"","what":"Calculate the rate at which biomass of each species is fished — getYield","title":"Calculate the rate at which biomass of each species is fished — getYield","text":"yield rate given grams per year. calculated time step saved MizerSim object.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getYield.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Calculate the rate at which biomass of each species is fished — getYield","text":"","code":"getYield(object)"},{"path":"https://sizespectrum.org/mizer/reference/getYield.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Calculate the rate at which biomass of each species is fished — getYield","text":"object object class MizerParams MizerSim.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getYield.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Calculate the rate at which biomass of each species is fished — getYield","text":"called MizerParams object, vector yield rate grams per year species model. called MizerSim object, array (time x species) containing yield rate time step species.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getYield.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Calculate the rate at which biomass of each species is fished — getYield","text":"yield rate \\(y_i(t)\\) species \\(\\) time \\(t\\) defined $$y_i(t)=\\int\\mu_{f.}(w, t)N_i(w, t)w dw$$ \\(\\mu_{f.}(w, t)\\) fishing mortality individual species \\(\\) weight \\(w\\) time \\(t\\) \\(N_i(w, t)\\) abundance density individuals.  factor \\(w\\) converts abundance density biomass density integral aggregates contribution sizes. total catch time period \\(t_1\\)  \\(t_2\\) integral yield rate period: $$C = \\int_{t_1}^{t2}y_i(t)dt$$ practice, yield rate available saved times, one can approximate integral averaging available yield rates time period multiplying time period. less yield changes saved values, accurate approximation . approximation can improved saving simulation results smaller intervals, using t_save argument project(). concern abundances change quickly time period interest.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/getYield.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Calculate the rate at which biomass of each species is fished — getYield","text":"","code":"yield <- getYield(NS_sim) yield[c(\"1972\", \"2010\"), c(\"Herring\", \"Cod\")] #>       sp #> time       Herring          Cod #>   1972 80002050975 355351719122 #>   2010 30496241734 289022888045  # Running simulation for another year, saving intermediate time steps params <- setInitialValues(getParams(NS_sim), NS_sim) sim <- project(params, t_save = 0.1, t_max = 1,                 t_start = 2010, progress_bar = FALSE) # The yield rate for Herring decreases during the year getYield(sim)[, \"Herring\"] #>        2010      2010.1      2010.2      2010.3      2010.4      2010.5  #> 30496241734 30406503779 30297907652 30173956406 30038604629 29896229522  #>      2010.6      2010.7      2010.8      2010.9        2011  #> 29751183405 29607379160 29468046935 29335685116 29212159486  # We get the total catch in the year by averaging over the year sum(getYield(sim)[1:10, \"Herring\"] / 10) #> [1] 29947173834"},{"path":"https://sizespectrum.org/mizer/reference/getYieldGear.html","id":null,"dir":"Reference","previous_headings":"","what":"Calculate the rate at which biomass of each species is fished by each gear — getYieldGear","title":"Calculate the rate at which biomass of each species is fished by each gear — getYieldGear","text":"yield rate given grams per year. calculated time step saved MizerSim object.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getYieldGear.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Calculate the rate at which biomass of each species is fished by each gear — getYieldGear","text":"","code":"getYieldGear(object)"},{"path":"https://sizespectrum.org/mizer/reference/getYieldGear.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Calculate the rate at which biomass of each species is fished by each gear — getYieldGear","text":"object object class MizerParams MizerSim.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getYieldGear.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Calculate the rate at which biomass of each species is fished by each gear — getYieldGear","text":"called MizerParams object, array (gear x species) yield rate grams per year gear species model. called MizerSim object, array (time x gear x species) containing yield rate time step.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getYieldGear.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Calculate the rate at which biomass of each species is fished by each gear — getYieldGear","text":"details yield rate defined see help page getYield().","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/getYieldGear.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Calculate the rate at which biomass of each species is fished by each gear — getYieldGear","text":"","code":"yield <- getYieldGear(NS_sim) yield[\"1972\", \"Herring\", \"Herring\"] #> [1] 80002050975 # (In this example MizerSim object each species was set up with its own gear)"},{"path":"https://sizespectrum.org/mizer/reference/getZ.html","id":null,"dir":"Reference","previous_headings":"","what":"Alias for getMort() — getZ","title":"Alias for getMort() — getZ","text":"alias provided backward compatibility mizer version <= 1.0","code":""},{"path":"https://sizespectrum.org/mizer/reference/getZ.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Alias for getMort() — getZ","text":"","code":"getZ(   params,   n = initialN(params),   n_pp = initialNResource(params),   n_other = initialNOther(params),   effort = getInitialEffort(params),   t = 0,   ... )"},{"path":"https://sizespectrum.org/mizer/reference/getZ.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Alias for getMort() — getZ","text":"params MizerParams object n matrix species abundances (species x size). n_pp vector resource abundance size n_other list abundances dynamical components ecosystem effort numeric vector effort gear single numeric effort value used gears. t time calculation (used standard mizer rate functions useful extensions time-dependent parameters.) ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/getZ.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Alias for getMort() — getZ","text":"two dimensional array (prey species x prey size).","code":""},{"path":"https://sizespectrum.org/mizer/reference/getZ.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Alias for getMort() — getZ","text":"model contains additional components added setComponent() specified mort_fun function mortality inflicted components included returned value.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getZ.html","id":"your-own-mortality-function","dir":"Reference","previous_headings":"","what":"Your own mortality function","title":"Alias for getMort() — getZ","text":"default getMort() calls mizerMort(). However can replace alternative mortality function. function called \"myMort\" register MizerParams object params   function called instead mizerMort(), arguments.","code":"params <- setRateFunction(params, \"Mort\", \"myMort\")"},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/getZ.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Alias for getMort() — getZ","text":"","code":"# \\donttest{ params <- NS_params # Project with constant fishing effort for all gears for 20 time steps sim <- project(params, t_max = 20, effort = 0.5) # Get the total mortality at a particular time step mort <- getMort(params, n = N(sim)[15, , ], n_pp = NResource(sim)[15, ],                  t = 15, effort = 0.5) # Mortality rate at this time for Sprat of size 2g mort[\"Sprat\", \"2\"] #> [1] 1.640475 # }"},{"path":"https://sizespectrum.org/mizer/reference/get_f0_default.html","id":null,"dir":"Reference","previous_headings":"","what":"Get default value for f0 — get_f0_default","title":"Get default value for f0 — get_f0_default","text":"Fills missing values f0 prey abundance described power law \\(\\kappa w^{-\\lambda}\\) encounter rate coming given gamma parameter lead feeding level \\(f_0\\). thus inverse get_gamma_default(). internal use.","code":""},{"path":"https://sizespectrum.org/mizer/reference/get_f0_default.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get default value for f0 — get_f0_default","text":"","code":"get_f0_default(params)"},{"path":"https://sizespectrum.org/mizer/reference/get_f0_default.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get default value for f0 — get_f0_default","text":"params MizerParams object","code":""},{"path":"https://sizespectrum.org/mizer/reference/get_f0_default.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get default value for f0 — get_f0_default","text":"vector values f0 species","code":""},{"path":"https://sizespectrum.org/mizer/reference/get_f0_default.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Get default value for f0 — get_f0_default","text":"species value gamma specified species parameter data frame, f0 values kept provided species parameter data frame set 0.6 provided.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/get_gamma_default.html","id":null,"dir":"Reference","previous_headings":"","what":"Get default value for gamma — get_gamma_default","title":"Get default value for gamma — get_gamma_default","text":"Fills missing values gamma fish feeding resource spectrum described power law \\(\\kappa w^{-\\lambda}\\) achieve feeding level \\(f_0\\). internal use.","code":""},{"path":"https://sizespectrum.org/mizer/reference/get_gamma_default.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get default value for gamma — get_gamma_default","text":"","code":"get_gamma_default(params)"},{"path":"https://sizespectrum.org/mizer/reference/get_gamma_default.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get default value for gamma — get_gamma_default","text":"params MizerParams object","code":""},{"path":"https://sizespectrum.org/mizer/reference/get_gamma_default.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get default value for gamma — get_gamma_default","text":"vector values gamma species","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/get_h_default.html","id":null,"dir":"Reference","previous_headings":"","what":"Get default value for h — get_h_default","title":"Get default value for h — get_h_default","text":"Sets h species reaches maturity size w_mat maturity age age_mat feeds feeding level f0.","code":""},{"path":"https://sizespectrum.org/mizer/reference/get_h_default.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get default value for h — get_h_default","text":"","code":"get_h_default(params)"},{"path":"https://sizespectrum.org/mizer/reference/get_h_default.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get default value for h — get_h_default","text":"params MizerParams object species parameter data frame","code":""},{"path":"https://sizespectrum.org/mizer/reference/get_h_default.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get default value for h — get_h_default","text":"vector values h species","code":""},{"path":"https://sizespectrum.org/mizer/reference/get_h_default.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Get default value for h — get_h_default","text":"age_mat missing species parameter data frame, calculated von Bertalanffy growth curve parameters k_vb (optionally t0) taken species parameter data frame. reliable warning issued. growth information given species, default set h = 30.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/get_initial_n.html","id":null,"dir":"Reference","previous_headings":"","what":"Calculate initial population abundances — get_initial_n","title":"Calculate initial population abundances — get_initial_n","text":"function uses model parameters parameters calculate initial values species number densities. initial abundances currently quite arbitrary close steady state. intend improve future.","code":""},{"path":"https://sizespectrum.org/mizer/reference/get_initial_n.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Calculate initial population abundances — get_initial_n","text":"","code":"get_initial_n(params, n0_mult = NULL, a = 0.35)"},{"path":"https://sizespectrum.org/mizer/reference/get_initial_n.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Calculate initial population abundances — get_initial_n","text":"params model parameters. object type MizerParams. n0_mult Multiplier abundance size 0. Default value kappa/1000. parameter default value 0.35.","code":""},{"path":"https://sizespectrum.org/mizer/reference/get_initial_n.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Calculate initial population abundances — get_initial_n","text":"matrix (species x size) population abundances.","code":""},{"path":"https://sizespectrum.org/mizer/reference/get_initial_n.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Calculate initial population abundances — get_initial_n","text":"","code":"init_n <- get_initial_n(NS_params)"},{"path":"https://sizespectrum.org/mizer/reference/get_ks_default.html","id":null,"dir":"Reference","previous_headings":"","what":"Get default value for ks — get_ks_default","title":"Get default value for ks — get_ks_default","text":"Fills missing values ks critical feeding level needed sustain species specified fc column species parameter data frame. column provided default critical feeding level \\(f_c = 0.2\\) used.","code":""},{"path":"https://sizespectrum.org/mizer/reference/get_ks_default.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get default value for ks — get_ks_default","text":"","code":"get_ks_default(params)"},{"path":"https://sizespectrum.org/mizer/reference/get_ks_default.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get default value for ks — get_ks_default","text":"params MizerParams object","code":""},{"path":"https://sizespectrum.org/mizer/reference/get_ks_default.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get default value for ks — get_ks_default","text":"vector values ks species","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/get_phi.html","id":null,"dir":"Reference","previous_headings":"","what":"Get values from feeding kernel function — get_phi","title":"Get values from feeding kernel function — get_phi","text":"involves finding feeding kernel function species, using pred_kernel_type parameter species_params data frame, checking valid arguments contained species_params data frame, calling function ppmr vector.","code":""},{"path":"https://sizespectrum.org/mizer/reference/get_phi.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get values from feeding kernel function — get_phi","text":"","code":"get_phi(species_params, ppmr)"},{"path":"https://sizespectrum.org/mizer/reference/get_phi.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get values from feeding kernel function — get_phi","text":"species_params species parameter data frame ppmr Values predator/prey mass ratio evaluate predation kernel function","code":""},{"path":"https://sizespectrum.org/mizer/reference/get_phi.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get values from feeding kernel function — get_phi","text":"array (species x ppmr) values predation kernel function","code":""},{"path":"https://sizespectrum.org/mizer/reference/get_required_reproduction.html","id":null,"dir":"Reference","previous_headings":"","what":"Determine reproduction rate needed for initial egg abundance — get_required_reproduction","title":"Determine reproduction rate needed for initial egg abundance — get_required_reproduction","text":"Determine reproduction rate needed initial egg abundance","code":""},{"path":"https://sizespectrum.org/mizer/reference/get_required_reproduction.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Determine reproduction rate needed for initial egg abundance — get_required_reproduction","text":"","code":"get_required_reproduction(params)"},{"path":"https://sizespectrum.org/mizer/reference/get_required_reproduction.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Determine reproduction rate needed for initial egg abundance — get_required_reproduction","text":"params MizerParams object","code":""},{"path":"https://sizespectrum.org/mizer/reference/get_required_reproduction.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Determine reproduction rate needed for initial egg abundance — get_required_reproduction","text":"vector reproduction rates species","code":""},{"path":"https://sizespectrum.org/mizer/reference/get_size_range_array.html","id":null,"dir":"Reference","previous_headings":"","what":"Get size range array — get_size_range_array","title":"Get size range array — get_size_range_array","text":"Helper function returns array (species x size) boolean values indicating whether size bin within size limits specified arguments. Either size limits can species can specified vectors one value species model.","code":""},{"path":"https://sizespectrum.org/mizer/reference/get_size_range_array.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get size range array — get_size_range_array","text":"","code":"get_size_range_array(   params,   min_w = min(params@w),   max_w = max(params@w),   min_l = NULL,   max_l = NULL,   ... )"},{"path":"https://sizespectrum.org/mizer/reference/get_size_range_array.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get size range array — get_size_range_array","text":"params MizerParams object min_w Smallest weight size range. Defaults smallest weight model. max_w Largest weight size range. Defaults largest weight model. min_l Smallest length size range. supplied, takes precedence min_w. max_l Largest length size range. supplied, takes precedence max_w. ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/get_size_range_array.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get size range array — get_size_range_array","text":"Boolean array (species x size)","code":""},{"path":"https://sizespectrum.org/mizer/reference/get_size_range_array.html","id":"length-to-weight-conversion","dir":"Reference","previous_headings":"","what":"Length to weight conversion","title":"Get size range array — get_size_range_array","text":"min_l specified need specify min_w . However, length specified (minimum maximum) necessary species parameter data.frame include parameters b determine relation length \\(l\\) weight \\(w\\) $$w = l^b.$$ possible mix length weight constraints, e.g. supplying minimum weight maximum length, must done species. default values minimum maximum weights spectrum, .e., full range size spectrum used.","code":""},{"path":"https://sizespectrum.org/mizer/reference/get_time_elements.html","id":null,"dir":"Reference","previous_headings":"","what":"Get_time_elements — get_time_elements","title":"Get_time_elements — get_time_elements","text":"Internal function get array element references time dimension time based slots MizerSim object.","code":""},{"path":"https://sizespectrum.org/mizer/reference/get_time_elements.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get_time_elements — get_time_elements","text":"","code":"get_time_elements(sim, time_range, slot_name = \"n\")"},{"path":"https://sizespectrum.org/mizer/reference/get_time_elements.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get_time_elements — get_time_elements","text":"sim MizerSim object time_range vector times. range times relevant, .e., times smallest largest selected. time_range can character numeric. slot_name Obsolete. needed early versions mizer effort slot different time dimension slots.","code":""},{"path":"https://sizespectrum.org/mizer/reference/get_time_elements.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get_time_elements — get_time_elements","text":"Named boolean vector indicating time whether included range .","code":""},{"path":"https://sizespectrum.org/mizer/reference/indicator_functions.html","id":null,"dir":"Reference","previous_headings":"","what":"Description of indicator functions — indicator_functions","title":"Description of indicator functions — indicator_functions","text":"Mizer provides range functions calculate indicators MizerSim object.","code":""},{"path":"https://sizespectrum.org/mizer/reference/indicator_functions.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Description of indicator functions — indicator_functions","text":"list available indicator functions MizerSim objects given table ","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/initialN-set.html","id":null,"dir":"Reference","previous_headings":"","what":"Initial values for fish spectra — initialN<-","title":"Initial values for fish spectra — initialN<-","text":"Values used starting values simulations project().","code":""},{"path":"https://sizespectrum.org/mizer/reference/initialN-set.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Initial values for fish spectra — initialN<-","text":"","code":"initialN(params) <- value  initialN(object)"},{"path":"https://sizespectrum.org/mizer/reference/initialN-set.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Initial values for fish spectra — initialN<-","text":"params MizerParams object value matrix dimensions species x size holding initial number densities fish spectra. object object class MizerParams MizerSim","code":""},{"path":"https://sizespectrum.org/mizer/reference/initialN-set.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Initial values for fish spectra — initialN<-","text":"matrix dimensions species x size holding initial number densities fish spectra.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/initialN-set.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Initial values for fish spectra — initialN<-","text":"","code":"# Doubling abundance of Cod in the initial state of the North Sea model params <- NS_params initialN(params)[\"Cod\", ] <- 2 * initialN(params)[\"Cod\", ] # Calculating the corresponding initial biomass biomass <- initialN(params)[\"Cod\", ] * dw(NS_params) * w(NS_params) # Of course this initial state will no longer be a steady state params <- steady(params) #> Convergence was achieved in 16.5 years. #> Warning: The following species require an unrealistic value greater than 1 for `erepro`: Sandeel, Plaice, Cod"},{"path":"https://sizespectrum.org/mizer/reference/initialNOther-set.html","id":null,"dir":"Reference","previous_headings":"","what":"Initial values for other ecosystem components — initialNOther<-","title":"Initial values for other ecosystem components — initialNOther<-","text":"Values used starting values simulations project().","code":""},{"path":"https://sizespectrum.org/mizer/reference/initialNOther-set.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Initial values for other ecosystem components — initialNOther<-","text":"","code":"initialNOther(params) <- value  initialNOther(object)"},{"path":"https://sizespectrum.org/mizer/reference/initialNOther-set.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Initial values for other ecosystem components — initialNOther<-","text":"params MizerParams object value named list initial values ecosystem components object object class MizerParams MizerSim","code":""},{"path":"https://sizespectrum.org/mizer/reference/initialNOther-set.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Initial values for other ecosystem components — initialNOther<-","text":"named list initial values ecosystem components","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/initialNResource-set.html","id":null,"dir":"Reference","previous_headings":"","what":"Initial value for resource spectrum — initialNResource<-","title":"Initial value for resource spectrum — initialNResource<-","text":"Value used starting value simulations project().","code":""},{"path":"https://sizespectrum.org/mizer/reference/initialNResource-set.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Initial value for resource spectrum — initialNResource<-","text":"","code":"initialNResource(params) <- value  initialNResource(object)"},{"path":"https://sizespectrum.org/mizer/reference/initialNResource-set.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Initial value for resource spectrum — initialNResource<-","text":"params MizerParams object value vector initial number densities resource spectrum object object class MizerParams MizerSim","code":""},{"path":"https://sizespectrum.org/mizer/reference/initialNResource-set.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Initial value for resource spectrum — initialNResource<-","text":"vector initial number densities resource spectrum","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/initialNResource-set.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Initial value for resource spectrum — initialNResource<-","text":"","code":"# Doubling resource abundance in the initial state of the North Sea model params <- NS_params initialNResource(params) <- 2 * initialNResource(params) # Of course this initial state will no longer be a steady state params <- steady(params) #> Convergence was achieved in 16.5 years."},{"path":"https://sizespectrum.org/mizer/reference/initial_effort.html","id":null,"dir":"Reference","previous_headings":"","what":"Initial fishing effort — initial_effort","title":"Initial fishing effort — initial_effort","text":"fishing effort named vector, specifying fishing gear effort invested fishing gear. effort value gear multiplied catchability selectivity determine fishing mortality imposed gear, see setFishing() details. initial effort set can overruled running simulation providing effort argument project() allows specify time-varying effort.","code":""},{"path":"https://sizespectrum.org/mizer/reference/initial_effort.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Initial fishing effort — initial_effort","text":"","code":"initial_effort(params)  initial_effort(params) <- value  validEffortVector(effort, params)"},{"path":"https://sizespectrum.org/mizer/reference/initial_effort.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Initial fishing effort — initial_effort","text":"params MizerParams object value vector scalar initial fishing effort, see Details . effort vector scalar initial fishing effort, see Details .","code":""},{"path":"https://sizespectrum.org/mizer/reference/initial_effort.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Initial fishing effort — initial_effort","text":"Effort vector","code":""},{"path":"https://sizespectrum.org/mizer/reference/initial_effort.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Initial fishing effort — initial_effort","text":"valid effort vector named vector one effort value gear. However can also supply effort value different ways: scalar, replicated gear unnamed vector, assumed order gears params object named vector gear names different order params object. sorted correctly. named vector supplies values gears. effort gears set zero. conversions done function validEffortVector(). effort argument lead error either unnamed wrong length named names match gears numeric","code":""},{"path":"https://sizespectrum.org/mizer/reference/inter.html","id":null,"dir":"Reference","previous_headings":"","what":"Alias for NS_interaction — inter","title":"Alias for NS_interaction — inter","text":"alias provided backward compatibility mizer version <= 2.3","code":""},{"path":"https://sizespectrum.org/mizer/reference/inter.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Alias for NS_interaction — inter","text":"","code":"inter"},{"path":"https://sizespectrum.org/mizer/reference/inter.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Alias for NS_interaction — inter","text":"12 x 12 matrix.","code":""},{"path":"https://sizespectrum.org/mizer/reference/inter.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Alias for NS_interaction — inter","text":"Blanchard et al.","code":""},{"path":"https://sizespectrum.org/mizer/reference/knife_edge.html","id":null,"dir":"Reference","previous_headings":"","what":"Weight based knife-edge selectivity function — knife_edge","title":"Weight based knife-edge selectivity function — knife_edge","text":"knife-edge selectivity function weights greater equal knife_edge_size fully selected fish smaller size selected.","code":""},{"path":"https://sizespectrum.org/mizer/reference/knife_edge.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Weight based knife-edge selectivity function — knife_edge","text":"","code":"knife_edge(w, knife_edge_size, ...)"},{"path":"https://sizespectrum.org/mizer/reference/knife_edge.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Weight based knife-edge selectivity function — knife_edge","text":"w Vector sizes. knife_edge_size weight knife-edge operates. ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/knife_edge.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Weight based knife-edge selectivity function — knife_edge","text":"Vector selectivities given sizes.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/l2w.html","id":null,"dir":"Reference","previous_headings":"","what":"Length-weight conversion — l2w","title":"Length-weight conversion — l2w","text":"species, convert length weight using relationship $$w_i = a_i l_i^{b_i}$$ $$l_i = (w_i / a_i)^{1/b_i}$$ b taken species parameter data frame \\(\\) species index.","code":""},{"path":"https://sizespectrum.org/mizer/reference/l2w.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Length-weight conversion — l2w","text":"","code":"l2w(l, species_params)  w2l(w, species_params)"},{"path":"https://sizespectrum.org/mizer/reference/l2w.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Length-weight conversion — l2w","text":"l Lengths cm. Either single number used species vector one number species. species_params species parameter data frame MizerParams object. w Weights grams. Either single number used species vector one number species.","code":""},{"path":"https://sizespectrum.org/mizer/reference/l2w.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Length-weight conversion — l2w","text":"vector one entry species. l2w() returns vector weights grams w2l() returns vector lengths cm.","code":""},{"path":"https://sizespectrum.org/mizer/reference/l2w.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Length-weight conversion — l2w","text":"useful converting length-based species parameter weight-based species parameter. b parameters missing default values = 0.01 b = 3 used missing values.","code":""},{"path":"https://sizespectrum.org/mizer/reference/log_breaks.html","id":null,"dir":"Reference","previous_headings":"","what":"Helper function to produce nice breaks on logarithmic axes — log_breaks","title":"Helper function to produce nice breaks on logarithmic axes — log_breaks","text":"needed logarithmic y-axis spans less one order magnitude, case ggplot2 default produces ticks.","code":""},{"path":"https://sizespectrum.org/mizer/reference/log_breaks.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Helper function to produce nice breaks on logarithmic axes — log_breaks","text":"","code":"log_breaks(n = 6)"},{"path":"https://sizespectrum.org/mizer/reference/log_breaks.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Helper function to produce nice breaks on logarithmic axes — log_breaks","text":"n Approximate number ticks","code":""},{"path":"https://sizespectrum.org/mizer/reference/log_breaks.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Helper function to produce nice breaks on logarithmic axes — log_breaks","text":"function can used break argument calls scale_y_continuous() scale_x_continuous()","code":""},{"path":"https://sizespectrum.org/mizer/reference/log_breaks.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Helper function to produce nice breaks on logarithmic axes — log_breaks","text":"Thanks Heather Turner https://stackoverflow.com/questions/14255533/pretty-ticks--log-normal-scale-using-ggplot2-dynamic--manual","code":""},{"path":"https://sizespectrum.org/mizer/reference/lognormal_pred_kernel.html","id":null,"dir":"Reference","previous_headings":"","what":"Lognormal predation kernel — lognormal_pred_kernel","title":"Lognormal predation kernel — lognormal_pred_kernel","text":"commonly-used predation kernel. log predator/prey mass ratio normally distributed.","code":""},{"path":"https://sizespectrum.org/mizer/reference/lognormal_pred_kernel.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Lognormal predation kernel — lognormal_pred_kernel","text":"","code":"lognormal_pred_kernel(ppmr, beta, sigma)"},{"path":"https://sizespectrum.org/mizer/reference/lognormal_pred_kernel.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Lognormal predation kernel — lognormal_pred_kernel","text":"ppmr vector predator/prey size ratios beta preferred predator/prey size ratio sigma width parameter log-normal kernel","code":""},{"path":"https://sizespectrum.org/mizer/reference/lognormal_pred_kernel.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Lognormal predation kernel — lognormal_pred_kernel","text":"vector giving value predation kernel predator/prey mass ratios ppmr argument.","code":""},{"path":"https://sizespectrum.org/mizer/reference/lognormal_pred_kernel.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Lognormal predation kernel — lognormal_pred_kernel","text":"Writing predator mass \\(w\\) prey mass \\(w_p\\), feeding kernel given $$\\phi_i(w, w_p) = \\exp \\left[ \\frac{-(\\ln(w / w_p / \\beta_i))^2}{2\\sigma_i^2} \\right] $$ \\(w/w_p\\) larger 1 zero otherwise. \\(\\beta_i\\) preferred predator-prey mass ratio \\(\\sigma_i\\) determines width kernel. two parameters need given species parameter dataframe columns beta sigma. function called setPredKernel() set predation kernel slots MizerParams object.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/lognormal_pred_kernel.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Lognormal predation kernel — lognormal_pred_kernel","text":"","code":"params <- NS_params plot(w_full(params), getPredKernel(params)[\"Cod\", 10, ], type=\"l\", log=\"x\")  # The restriction that the kernel is zero for w/w_p < 1 is more # noticeable for larger sigma species_params(params)$sigma <- 4 plot(w_full(params), getPredKernel(params)[\"Cod\", 10, ], type=\"l\", log=\"x\")"},{"path":"https://sizespectrum.org/mizer/reference/matchBiomasses.html","id":null,"dir":"Reference","previous_headings":"","what":"Match biomasses to observations — matchBiomasses","title":"Match biomasses to observations — matchBiomasses","text":"function adjusts abundances species model biomasses match observations.","code":""},{"path":"https://sizespectrum.org/mizer/reference/matchBiomasses.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Match biomasses to observations — matchBiomasses","text":"","code":"matchBiomasses(params, species = NULL)"},{"path":"https://sizespectrum.org/mizer/reference/matchBiomasses.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Match biomasses to observations — matchBiomasses","text":"params MizerParams object species species affected. Optional. default observed biomasses matched. vector species names, numeric vector species indices, logical vector indicating species whether affected (TRUE) .","code":""},{"path":"https://sizespectrum.org/mizer/reference/matchBiomasses.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Match biomasses to observations — matchBiomasses","text":"MizerParams object","code":""},{"path":"https://sizespectrum.org/mizer/reference/matchBiomasses.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Match biomasses to observations — matchBiomasses","text":"function works multiplying species abundance density sizes factor. course give steady state solution, even initial abundance densities steady state. using function may want use steady() run model steady state, course biomasses longer match exactly. iterate process. described blog post https://bit.ly/2YqXESV. can use function need added biomass_observed column model gives observed biomass grams.  species observed biomass, set value biomass_observed column 0 NA. Biomass observations usually include individuals certain size. size specified biomass_cutoff column species parameter data frame. missing, assumed sizes included observed biomass, .e., includes larval biomass.","code":""},{"path":"https://sizespectrum.org/mizer/reference/matchBiomasses.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Match biomasses to observations — matchBiomasses","text":"","code":"params <- NS_params species_params(params)$biomass_observed <-      c(0.8, 61, 12, 35, 1.6, 20, 10, 7.6, 135, 60, 30, 78) species_params(params)$biomass_cutoff <- 10 params <- calibrateBiomass(params) params <- matchBiomasses(params) plotBiomassObservedVsModel(params)"},{"path":"https://sizespectrum.org/mizer/reference/matchGrowth.html","id":null,"dir":"Reference","previous_headings":"","what":"Adjust model to produce observed growth — matchGrowth","title":"Adjust model to produce observed growth — matchGrowth","text":"Scales search volume, maximum consumption rate, metabolic rate external encounter rate factor order achieve growth rate allows individuals reach maturity size maturity age keeping feeding level critical feeding level unchanged. recalculates size spectra using steadySingleSpecies().","code":""},{"path":"https://sizespectrum.org/mizer/reference/matchGrowth.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Adjust model to produce observed growth — matchGrowth","text":"","code":"matchGrowth(params, species = NULL, keep = c(\"egg\", \"biomass\", \"number\"))"},{"path":"https://sizespectrum.org/mizer/reference/matchGrowth.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Adjust model to produce observed growth — matchGrowth","text":"params MizerParams object species species affected. Optional. default species growth information available affected. vector species names, numeric vector species indices, logical vector indicating species whether affected (TRUE) . keep string determining quantity kept constant. choices \"egg\" keeps egg density constant, \"biomass\" keeps total biomass species constant \"number\" keeps total number individuals constant.","code":""},{"path":"https://sizespectrum.org/mizer/reference/matchGrowth.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Adjust model to produce observed growth — matchGrowth","text":"modified MizerParams object rescaled search volume, maximum consumption rate metabolic rate rescaled species parameters gamma,h, ks k.","code":""},{"path":"https://sizespectrum.org/mizer/reference/matchGrowth.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Adjust model to produce observed growth — matchGrowth","text":"Maturity size age taken w_mat age_mat columns species_params data frame. age_mat missing, mizer calculates von Bertalanffy growth curve parameters using age_mat_vB(). available either species, growth rate species changed.","code":""},{"path":"https://sizespectrum.org/mizer/reference/matchNumbers.html","id":null,"dir":"Reference","previous_headings":"","what":"Match numbers to observations — matchNumbers","title":"Match numbers to observations — matchNumbers","text":"function adjusts numbers species model numbers match observations.","code":""},{"path":"https://sizespectrum.org/mizer/reference/matchNumbers.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Match numbers to observations — matchNumbers","text":"","code":"matchNumbers(params, species = NULL)"},{"path":"https://sizespectrum.org/mizer/reference/matchNumbers.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Match numbers to observations — matchNumbers","text":"params MizerParams object species species affected. Optional. default observed numbers matched. vector species names, numeric vector species indices, logical vector indicating species whether affected (TRUE) .","code":""},{"path":"https://sizespectrum.org/mizer/reference/matchNumbers.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Match numbers to observations — matchNumbers","text":"MizerParams object","code":""},{"path":"https://sizespectrum.org/mizer/reference/matchNumbers.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Match numbers to observations — matchNumbers","text":"function works multiplying species number density sizes factor. course give steady state solution, even initial number densities steady state. using function may want use steady() run model steady state, course numbers longer match exactly. iterate process. described blog post https://bit.ly/2YqXESV. can use function need added number_observed column model gives observed number grams.  species observed number, set value number_observed column 0 NA. Number observations usually include individuals certain size. size specified number_cutoff column species parameter data frame. missing, assumed sizes included observed number, .e., includes larval number.","code":""},{"path":"https://sizespectrum.org/mizer/reference/matchNumbers.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Match numbers to observations — matchNumbers","text":"","code":"params <- NS_params species_params(params)$number_observed <-     c(0.8, 61, 12, 35, 1.6, 20, 10, 7.6, 135, 60, 30, 78) species_params(params)$number_cutoff <- 10 params <- calibrateNumber(params) params <- matchNumbers(params)"},{"path":"https://sizespectrum.org/mizer/reference/matchYields.html","id":null,"dir":"Reference","previous_headings":"","what":"Match yields to observations — matchYields","title":"Match yields to observations — matchYields","text":"function deprecated removed future unless use case . use case , please let developers know creating issue https://github.com/sizespectrum/mizer/issues.","code":""},{"path":"https://sizespectrum.org/mizer/reference/matchYields.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Match yields to observations — matchYields","text":"","code":"matchYields(params, species = NULL)"},{"path":"https://sizespectrum.org/mizer/reference/matchYields.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Match yields to observations — matchYields","text":"params MizerParams object species species affected. Optional. default observed yields matched. vector species names, numeric vector species indices, logical vector indicating species whether affected (TRUE) .","code":""},{"path":"https://sizespectrum.org/mizer/reference/matchYields.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Match yields to observations — matchYields","text":"MizerParams object","code":""},{"path":"https://sizespectrum.org/mizer/reference/matchYields.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Match yields to observations — matchYields","text":"want match yields observations, use matchYield() function mizerExperimental package instead, adjusts catchability match yield rather adjusting biomass. function adjusts abundances species model yearly yields given fishing mortalities match observations. function works multiplying species abundance density sizes factor. course give steady state solution, even initial abundance densities steady state. using function may want use steady() run model steady state, course yields longer match exactly. iterate process. described blog post https://bit.ly/2YqXESV. can use function need added yield_observed column model gives observed yields grams per year.  species observed biomass, set value yield_observed column 0 NA.","code":""},{"path":"https://sizespectrum.org/mizer/reference/matchYields.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Match yields to observations — matchYields","text":"","code":"params <- NS_params species_params(params)$yield_observed <-      c(0.8, 61, 12, 35, 1.6, 20, 10, 7.6, 135, 60, 30, 78) gear_params(params)$catchability <-     c(1.3, 0.065, 0.31, 0.18, 0.98, 0.24, 0.37, 0.46, 0.18, 0.30, 0.27, 0.39) params <- calibrateYield(params) params <- matchYields(params) #> Warning: `matchYields()` was deprecated in mizer 2.6.0. #> ℹ Please use `mizerExperimental::matchYield()` instead. #> ℹ This function has not proven useful. If you do have a use case for it, please #>   let the developers know by creating an issue at #>   https://github.com/sizespectrum/mizer/issues #> The following species are not being fished in your model and their abundances will not be changed: Sprat, Sandeel, N.pout. plotYieldObservedVsModel(params) #> The following species are not being fished in your model and will not be included in the plot: Sprat, Sandeel, N.pout."},{"path":"https://sizespectrum.org/mizer/reference/mizer-package.html","id":null,"dir":"Reference","previous_headings":"","what":"mizer: Multi-species size-based modelling in R — mizer-package","title":"mizer: Multi-species size-based modelling in R — mizer-package","text":"mizer package implements multi-species size-based modelling R. designed modelling marine ecosystems.","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizer-package.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"mizer: Multi-species size-based modelling in R — mizer-package","text":"Using mizer relatively simple.  three main stages: Setting model parameters. done creating object class MizerParams. includes model parameters life history parameters species, range size spectrum. several setup functions help create MizerParams objects particular types models: newSingleSpeciesParams() newCommunityParams() newTraitParams() newMultispeciesParams() Running simulation. done calling project() function model parameters. produces object MizerSim contains results simulation. Exploring results. simulation run, results can explored using range plotting_functions, summary_functions indicator_functions. See mizer website full details principles behind mizer package can used perform size-based modelling.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/mizer-package.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"mizer: Multi-species size-based modelling in R — mizer-package","text":"Maintainer: Gustav Delius gustav.delius@york.ac.uk (ORCID) [copyright holder] Authors: Finlay Scott drfinlayscott@gmail.com [copyright holder] Julia Blanchard julia.blanchard@utas.edu.au (ORCID) [copyright holder] Ken Andersen kha@aqua.dtu.dk (ORCID) [copyright holder] contributors: Richard Southwell richard.southwell@york.ac.uk [contributor, copyright holder]","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerEGrowth.html","id":null,"dir":"Reference","previous_headings":"","what":"Get energy rate available for growth needed to project standard mizer model — mizerEGrowth","title":"Get energy rate available for growth needed to project standard mizer model — mizerEGrowth","text":"Calculates energy rate \\(g_i(w)\\) (grams/year) available species size growth metabolism, movement reproduction accounted . Used project() performing simulations. usually call function directly instead use getEGrowth(), calls function unless alternative function registered, see .","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerEGrowth.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get energy rate available for growth needed to project standard mizer model — mizerEGrowth","text":"","code":"mizerEGrowth(params, n, n_pp, n_other, t, e_repro, e, ...)"},{"path":"https://sizespectrum.org/mizer/reference/mizerEGrowth.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get energy rate available for growth needed to project standard mizer model — mizerEGrowth","text":"params MizerParams object n matrix species abundances (species x size). n_pp vector resource abundance size n_other list abundances dynamical components ecosystem t time calculation (used standard mizer rate functions useful extensions time-dependent parameters.) e_repro energy available reproduction calculated getERepro(). e energy available reproduction growth calculated getEReproAndGrowth(). ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerEGrowth.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get energy rate available for growth needed to project standard mizer model — mizerEGrowth","text":"two dimensional array (species x size) growth rates.","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerEGrowth.html","id":"your-own-growth-rate-function","dir":"Reference","previous_headings":"","what":"Your own growth rate function","title":"Get energy rate available for growth needed to project standard mizer model — mizerEGrowth","text":"default getEGrowth() calls mizerEGrowth(). However can replace alternative growth rate function. function called \"myEGrowth\" register MizerParams object params   function called instead mizerEGrowth(), arguments.","code":"params <- setRateFunction(params, \"EGrowth\", \"myEGrowth\")"},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/mizerERepro.html","id":null,"dir":"Reference","previous_headings":"","what":"Get energy rate available for reproduction needed to project standard mizer model — mizerERepro","title":"Get energy rate available for reproduction needed to project standard mizer model — mizerERepro","text":"Calculates energy rate (grams/year) available reproduction growth metabolism accounted . usually call function directly instead use getERepro(), calls function unless alternative function registered, see .","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerERepro.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get energy rate available for reproduction needed to project standard mizer model — mizerERepro","text":"","code":"mizerERepro(params, n, n_pp, n_other, t, e, ...)"},{"path":"https://sizespectrum.org/mizer/reference/mizerERepro.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get energy rate available for reproduction needed to project standard mizer model — mizerERepro","text":"params MizerParams object n matrix species abundances (species x size). n_pp vector resource abundance size n_other list abundances dynamical components ecosystem t time calculation (used standard mizer rate functions useful extensions time-dependent parameters.) e two dimensional array (species x size) holding energy available reproduction growth calculated mizerEReproAndGrowth(). ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerERepro.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get energy rate available for reproduction needed to project standard mizer model — mizerERepro","text":"two dimensional array (species x size) holding $$\\psi_i(w)E_{r.}(w)$$ \\(E_{r.}(w)\\) rate energy becomes available growth reproduction, calculated mizerEReproAndGrowth(), \\(\\psi_i(w)\\) proportion energy used reproduction. proportion taken params object set setReproduction().","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerERepro.html","id":"your-own-reproduction-rate-function","dir":"Reference","previous_headings":"","what":"Your own reproduction rate function","title":"Get energy rate available for reproduction needed to project standard mizer model — mizerERepro","text":"default getERepro() calls mizerERepro(). However can replace alternative reproduction rate function. function called \"myERepro\" register MizerParams object params   function called instead mizerERepro(), arguments.","code":"params <- setRateFunction(params, \"ERepro\", \"myERepro\")"},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/mizerEReproAndGrowth.html","id":null,"dir":"Reference","previous_headings":"","what":"Get energy rate available for reproduction and growth needed to project standard mizer model — mizerEReproAndGrowth","title":"Get energy rate available for reproduction and growth needed to project standard mizer model — mizerEReproAndGrowth","text":"Calculates energy rate \\(E_{r.}(w)\\) (grams/year) available individual species size w reproduction growth metabolism movement accounted . usually call function directly instead use getEReproAndGrowth(), calls function unless alternative function registered, see .","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerEReproAndGrowth.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get energy rate available for reproduction and growth needed to project standard mizer model — mizerEReproAndGrowth","text":"","code":"mizerEReproAndGrowth(   params,   n,   n_pp,   n_other,   t,   encounter,   feeding_level,   ... )"},{"path":"https://sizespectrum.org/mizer/reference/mizerEReproAndGrowth.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get energy rate available for reproduction and growth needed to project standard mizer model — mizerEReproAndGrowth","text":"params MizerParams object n matrix species abundances (species x size). n_pp vector resource abundance size n_other list abundances dynamical components ecosystem t time calculation (used standard mizer rate functions useful extensions time-dependent parameters.) encounter array (species x size) encounter rate calculated getEncounter(). feeding_level array (species x size) feeding level calculated getFeedingLevel(). ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerEReproAndGrowth.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get energy rate available for reproduction and growth needed to project standard mizer model — mizerEReproAndGrowth","text":"two dimensional array (species x size) holding $$E_{r.}(w) = \\max(0, \\alpha_i\\, (1 - {\\tt feeding\\_level}_i(w))\\,                            {\\tt encounter}_i(w) - {\\tt metab}_i(w)).$$ Due form feeding level, calculated getFeedingLevel(), feeding level nonzero can also expressed $$E_{r.}(w) = \\max(0, \\alpha_i\\, {\\tt feeding\\_level}_i(w)\\,                            h_i(w) - {\\tt metab}_i(w))$$ \\(h_i\\) maximum intake rate, set setMaxIntakeRate(). However function using first equation works also maximum intake rate infinite, .e., satiation. assimilation rate \\(\\alpha_i\\) taken species parameter data frame params. metabolic rate metab taken params set setMetabolicRate(). return value can negative, means energy intake cover cost metabolism movement.","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerEReproAndGrowth.html","id":"your-own-energy-rate-function","dir":"Reference","previous_headings":"","what":"Your own energy rate function","title":"Get energy rate available for reproduction and growth needed to project standard mizer model — mizerEReproAndGrowth","text":"default getEReproAndGrowth() calls mizerEReproAndGrowth(). However can replace alternative energy rate function. function called \"myEReproAndGrowth\" register MizerParams object params   function called instead mizerEReproAndGrowth(), arguments.","code":"params <- setRateFunction(params, \"EReproAndGrowth\", \"myEReproAndGrowth\")"},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/mizerEncounter.html","id":null,"dir":"Reference","previous_headings":"","what":"Get encounter rate needed to project standard mizer model — mizerEncounter","title":"Get encounter rate needed to project standard mizer model — mizerEncounter","text":"Calculates rate \\(E_i(w)\\) predator species \\(\\) weight \\(w\\) encounters food (grams/year). usually call function directly instead use getEncounter(), calls function unless alternative function registered, see .","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerEncounter.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get encounter rate needed to project standard mizer model — mizerEncounter","text":"","code":"mizerEncounter(params, n, n_pp, n_other, t, ...)"},{"path":"https://sizespectrum.org/mizer/reference/mizerEncounter.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get encounter rate needed to project standard mizer model — mizerEncounter","text":"params MizerParams object n matrix species abundances (species x size). n_pp vector resource abundance size n_other list abundances dynamical components ecosystem t time calculation (used standard mizer rate functions useful extensions time-dependent parameters.) ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerEncounter.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get encounter rate needed to project standard mizer model — mizerEncounter","text":"named two dimensional array (predator species x predator size) encounter rates.","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerEncounter.html","id":"predation-encounter","dir":"Reference","previous_headings":"","what":"Predation encounter","title":"Get encounter rate needed to project standard mizer model — mizerEncounter","text":"encounter rate \\(E_i(w)\\) predator species \\(\\) weight \\(w\\) encounters food contributions encounter fish prey resource. determined summing prey species resource spectrum integrating prey sizes \\(w_p\\), weighted predation kernel \\(\\phi(w,w_p)\\): $$ E_i(w) = \\gamma_i(w) \\int \\left( \\theta_{ip} N_R(w_p) + \\sum_{j} \\theta_{ij} N_j(w_p) \\right) \\phi_i(w,w_p) w_p \\, dw_p. $$ \\(N_j(w)\\) abundance density species \\(j\\) \\(N_R(w)\\) abundance density resource. overall prefactor \\(\\gamma_i(w)\\) determines predation power predator. interpreted search volume set setSearchVolume() function. predation kernel \\(\\phi(w,w_p)\\) set setPredKernel() function. species interaction matrix \\(\\theta_{ij}\\) set setInteraction() resource interaction vector \\(\\theta_{ip}\\) taken interaction_resource column params@species_params.","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerEncounter.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Get encounter rate needed to project standard mizer model — mizerEncounter","text":"encounter rate multiplied \\(1-f_0\\) obtain consumption rate, \\(f_0\\) feeding level calculated getFeedingLevel(). used project() function performing simulations. function returns values also sizes outside size-range species. values used, meaningless. model contains additional components added setComponent() specified encounter_fun function encounters components included returned value.","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerEncounter.html","id":"your-own-encounter-function","dir":"Reference","previous_headings":"","what":"Your own encounter function","title":"Get encounter rate needed to project standard mizer model — mizerEncounter","text":"default getEncounter() calls mizerEncounter(). However can replace alternative encounter function. function called \"myEncounter\" register MizerParams object params   function called instead mizerEncounter(), arguments.","code":"params <- setRateFunction(params, \"Encounter\", \"myEncounter\")"},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/mizerFMort.html","id":null,"dir":"Reference","previous_headings":"","what":"Get the total fishing mortality rate from all fishing gears — mizerFMort","title":"Get the total fishing mortality rate from all fishing gears — mizerFMort","text":"Calculates total fishing mortality  (units 1/year) gears species size. total fishing mortality just sum fishing mortalities imposed gear, \\(\\mu_{f.}(w)=\\sum_g F_{g,,w}\\). usually call function directly instead use getFMort(), calls function unless alternative function registered, see .","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerFMort.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get the total fishing mortality rate from all fishing gears — mizerFMort","text":"","code":"mizerFMort(params, n, n_pp, n_other, t, effort, e_growth, pred_mort, ...)"},{"path":"https://sizespectrum.org/mizer/reference/mizerFMort.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get the total fishing mortality rate from all fishing gears — mizerFMort","text":"params MizerParams object n matrix species abundances (species x size). n_pp vector resource abundance size n_other list abundances dynamical components ecosystem t time calculation (used standard mizer rate functions useful extensions time-dependent parameters.) effort vector effort fishing gear. e_growth array (species x size) energy available growth calculated getEGrowth(). Unused. pred_mort two dimensional array (species x size) predation mortality calculated getPredMort(). Unused. ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerFMort.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get the total fishing mortality rate from all fishing gears — mizerFMort","text":"array (species x size) fishing mortality.","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerFMort.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"Get the total fishing mortality rate from all fishing gears — mizerFMort","text":": fishing mortality = catchability x selectivity x effort.","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerFMort.html","id":"your-own-fishing-mortality-function","dir":"Reference","previous_headings":"","what":"Your own fishing mortality function","title":"Get the total fishing mortality rate from all fishing gears — mizerFMort","text":"default getFMort() calls mizerFMort(). However can replace alternative fishing mortality function. function called \"myFMort\" register MizerParams object params   function called instead mizerFMort(), arguments.","code":"params <- setRateFunction(params, \"FMort\", \"myFMort\")"},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/mizerFMortGear.html","id":null,"dir":"Reference","previous_headings":"","what":"Get the fishing mortality needed to project standard mizer model — mizerFMortGear","title":"Get the fishing mortality needed to project standard mizer model — mizerFMortGear","text":"Calculates fishing mortality rate \\(F_{g,,w}\\) gear, species size. helper function mizerFMort().","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerFMortGear.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get the fishing mortality needed to project standard mizer model — mizerFMortGear","text":"","code":"mizerFMortGear(params, effort)"},{"path":"https://sizespectrum.org/mizer/reference/mizerFMortGear.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get the fishing mortality needed to project standard mizer model — mizerFMortGear","text":"params MizerParams object effort vector effort fishing gear.","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerFMortGear.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get the fishing mortality needed to project standard mizer model — mizerFMortGear","text":"three dimensional array (gear x species x size) fishing mortality","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerFMortGear.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"Get the fishing mortality needed to project standard mizer model — mizerFMortGear","text":": fishing mortality = catchability x selectivity x effort.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/mizerFeedingLevel.html","id":null,"dir":"Reference","previous_headings":"","what":"Get feeding level needed to project standard mizer model — mizerFeedingLevel","title":"Get feeding level needed to project standard mizer model — mizerFeedingLevel","text":"usually call function directly instead use getFeedingLevel(), calls function unless alternative function registered, see .","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerFeedingLevel.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get feeding level needed to project standard mizer model — mizerFeedingLevel","text":"","code":"mizerFeedingLevel(params, n, n_pp, n_other, t, encounter, ...)"},{"path":"https://sizespectrum.org/mizer/reference/mizerFeedingLevel.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get feeding level needed to project standard mizer model — mizerFeedingLevel","text":"params MizerParams object n matrix species abundances (species x size). n_pp vector resource abundance size n_other list abundances dynamical components ecosystem t time calculation (used standard mizer rate functions useful extensions time-dependent parameters.) encounter two dimensional array (predator species x predator size) encounter rate. ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerFeedingLevel.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get feeding level needed to project standard mizer model — mizerFeedingLevel","text":"two dimensional array (predator species x predator size) feeding level.","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerFeedingLevel.html","id":"feeding-level","dir":"Reference","previous_headings":"","what":"Feeding level","title":"Get feeding level needed to project standard mizer model — mizerFeedingLevel","text":"feeding level \\(f_i(w)\\) proportion maximum intake rate predator actually taking fish. calculated encounter rate \\(E_i\\) maximum intake rate \\(h_i(w)\\) $$f_i(w) = \\frac{E_i(w)}{E_i(w)+h_i(w)}.$$ encounter rate \\(E_i\\) passed argument calculated getEncounter(). maximum intake rate \\(h_i(w)\\) taken params object, set setMaxIntakeRate(). consequence expression feeding level, \\(1-f_i(w)\\) proportion food available predator actually consumes.","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerFeedingLevel.html","id":"your-own-feeding-level-function","dir":"Reference","previous_headings":"","what":"Your own feeding level function","title":"Get feeding level needed to project standard mizer model — mizerFeedingLevel","text":"default getFeedingLevel() calls mizerFeedingLevel(). However can replace alternative feeding level function. function called \"myFeedingLevel\" register MizerParams object params   function called instead mizerFeedingLevel(), arguments.","code":"params <- setRateFunction(params, \"FeedingLevel\", \"myFeedingLevel\")"},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/mizerMort.html","id":null,"dir":"Reference","previous_headings":"","what":"Get total mortality rate needed to project standard mizer model — mizerMort","title":"Get total mortality rate needed to project standard mizer model — mizerMort","text":"Calculates total mortality rate \\(\\mu_i(w)\\)  (units 1/year) species size predation mortality, background mortality fishing mortality. usually call function directly instead use getMort(), calls function unless alternative function registered, see .","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerMort.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get total mortality rate needed to project standard mizer model — mizerMort","text":"","code":"mizerMort(params, n, n_pp, n_other, t, f_mort, pred_mort, ...)"},{"path":"https://sizespectrum.org/mizer/reference/mizerMort.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get total mortality rate needed to project standard mizer model — mizerMort","text":"params MizerParams object n matrix species abundances (species x size). n_pp vector resource abundance size n_other list abundances dynamical components ecosystem t time calculation (used standard mizer rate functions useful extensions time-dependent parameters.) f_mort two dimensional array (species x size) fishing mortality pred_mort two dimensional array (species x size) predation mortality ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerMort.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get total mortality rate needed to project standard mizer model — mizerMort","text":"named two dimensional array (species x size) total mortality rates.","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerMort.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Get total mortality rate needed to project standard mizer model — mizerMort","text":"model contains additional components added setComponent() specified mort_fun function mortality inflicted components included returned value.","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerMort.html","id":"your-own-mortality-function","dir":"Reference","previous_headings":"","what":"Your own mortality function","title":"Get total mortality rate needed to project standard mizer model — mizerMort","text":"default getMort() calls mizerMort(). However can replace alternative mortality function. function called \"myMort\" register MizerParams object params   function called instead mizerMort(), arguments.","code":"params <- setRateFunction(params, \"Mort\", \"myMort\")"},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/mizerPredMort.html","id":null,"dir":"Reference","previous_headings":"","what":"Get total predation mortality rate needed to project standard mizer model — mizerPredMort","title":"Get total predation mortality rate needed to project standard mizer model — mizerPredMort","text":"Calculates total predation mortality rate \\(\\mu_{p,}(w_p)\\) (units 1/year) prey species prey size: $$\\mu_{p.}(w_p) = \\sum_j {\\tt pred\\_rate}_j(w_p)\\, \\theta_{ji}.$$ usually call function directly instead use getPredMort(), calls function unless alternative function registered, see .","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerPredMort.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get total predation mortality rate needed to project standard mizer model — mizerPredMort","text":"","code":"mizerPredMort(params, n, n_pp, n_other, t, pred_rate, ...)"},{"path":"https://sizespectrum.org/mizer/reference/mizerPredMort.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get total predation mortality rate needed to project standard mizer model — mizerPredMort","text":"params MizerParams object n matrix species abundances (species x size). n_pp vector resource abundance size n_other list abundances dynamical components ecosystem t time calculation (used standard mizer rate functions useful extensions time-dependent parameters.) pred_rate two dimensional array (predator species x predator size) feeding level. ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerPredMort.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get total predation mortality rate needed to project standard mizer model — mizerPredMort","text":"two dimensional array (prey species x prey size) predation mortality","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerPredMort.html","id":"your-own-predation-mortality-function","dir":"Reference","previous_headings":"","what":"Your own predation mortality function","title":"Get total predation mortality rate needed to project standard mizer model — mizerPredMort","text":"default getPredMort() calls mizerPredMort(). However can replace alternative predation mortality function. function called \"myPredMort\" register MizerParams object params   function called instead mizerPredMort(), arguments.","code":"params <- setRateFunction(params, \"PredMort\", \"myPredMort\")"},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/mizerPredRate.html","id":null,"dir":"Reference","previous_headings":"","what":"Get predation rate needed to project standard mizer model — mizerPredRate","title":"Get predation rate needed to project standard mizer model — mizerPredRate","text":"Calculates potential rate (units 1/year) prey individual given size \\(w\\) killed predators species \\(j\\). formulas $${\\tt pred\\_rate}_j(w_p) = \\int \\phi_j(w,w_p) (1-f_j(w))   \\gamma_j(w) N_j(w) \\, dw.$$ potential rate used function mizerPredMort() calculate realised predation mortality rate prey individual. usually call function directly instead use getPredRate(), calls function unless alternative function registered, see .","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerPredRate.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get predation rate needed to project standard mizer model — mizerPredRate","text":"","code":"mizerPredRate(params, n, n_pp, n_other, t, feeding_level, ...)"},{"path":"https://sizespectrum.org/mizer/reference/mizerPredRate.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get predation rate needed to project standard mizer model — mizerPredRate","text":"params MizerParams object n matrix species abundances (species x size). n_pp vector resource abundance size n_other list abundances dynamical components ecosystem t time calculation (used standard mizer rate functions useful extensions time-dependent parameters.) feeding_level array (species x size) feeding level calculated getFeedingLevel(). ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerPredRate.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get predation rate needed to project standard mizer model — mizerPredRate","text":"named two dimensional array (predator species x prey size) predation rate, prey size runs fish community plus resource spectrum.","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerPredRate.html","id":"your-own-predation-rate-function","dir":"Reference","previous_headings":"","what":"Your own predation rate function","title":"Get predation rate needed to project standard mizer model — mizerPredRate","text":"default getPredRate() calls mizerPredRate(). However can replace alternative predation rate function. function called \"myPredRate\" register MizerParams object params   function called instead mizerPredRate(), arguments.","code":"params <- setRateFunction(params, \"PredRate\", \"myPredRate\")"},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/mizerRDI.html","id":null,"dir":"Reference","previous_headings":"","what":"Get density-independent rate of reproduction needed to project standard mizer model — mizerRDI","title":"Get density-independent rate of reproduction needed to project standard mizer model — mizerRDI","text":"Calculates density-independent rate total egg production \\(R_{di}\\) (units 1/year) density dependence, species. usually call function directly instead use getRDI(), calls function unless alternative function registered, see .","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerRDI.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get density-independent rate of reproduction needed to project standard mizer model — mizerRDI","text":"","code":"mizerRDI(params, n, n_pp, n_other, t, e_growth, mort, e_repro, ...)"},{"path":"https://sizespectrum.org/mizer/reference/mizerRDI.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get density-independent rate of reproduction needed to project standard mizer model — mizerRDI","text":"params MizerParams object n matrix species abundances (species x size). n_pp vector resource abundance size n_other list abundances dynamical components ecosystem t time calculation (used standard mizer rate functions useful extensions time-dependent parameters.) e_growth array (species x size) energy available growth calculated getEGrowth(). Unused. mort array (species x size) mortality rate calculated getMort(). Unused. e_repro array (species x size) energy available reproduction calculated getERepro(). ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerRDI.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get density-independent rate of reproduction needed to project standard mizer model — mizerRDI","text":"numeric vector rate egg production species.","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerRDI.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Get density-independent rate of reproduction needed to project standard mizer model — mizerRDI","text":"rate obtained taking per capita rate \\(E_r(w)\\psi(w)\\) energy invested reproduction, calculated getERepro(), multiplying number individuals\\(N(w)\\) integrating sizes \\(w\\) multiplying reproductive efficiency \\(\\epsilon\\) dividing egg size w_min, factor two account two sexes: $$R_{di} = \\frac{\\epsilon}{2 w_{min}} \\int N(w)  E_r(w) \\psi(w) \\, dw$$ Used getRDD() calculate actual, density dependent rate. See setReproduction() details.","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerRDI.html","id":"your-own-reproduction-function","dir":"Reference","previous_headings":"","what":"Your own reproduction function","title":"Get density-independent rate of reproduction needed to project standard mizer model — mizerRDI","text":"default getRDI() calls mizerRDI(). However can replace alternative reproduction function. function called \"myRDI\" register MizerParams object params   function called instead mizerRDI(), arguments. example alternative reproduction function see constantEggRDI().","code":"params <- setRateFunction(params, \"RDI\", \"myRDI\")"},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/mizerRates.html","id":null,"dir":"Reference","previous_headings":"","what":"Get all rates needed to project standard mizer model — mizerRates","title":"Get all rates needed to project standard mizer model — mizerRates","text":"Calls rate functions sequence collects results list.","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerRates.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get all rates needed to project standard mizer model — mizerRates","text":"","code":"mizerRates(params, n, n_pp, n_other, t = 0, effort, rates_fns, ...)"},{"path":"https://sizespectrum.org/mizer/reference/mizerRates.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get all rates needed to project standard mizer model — mizerRates","text":"params MizerParams object n matrix species abundances (species x size). n_pp vector resource abundance size n_other list abundances dynamical components ecosystem t time calculation (used standard mizer rate functions useful extensions time-dependent parameters.) effort effort fishing gear rates_fns Named list functions call calculate rates. Note list holds functions , names. ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerRates.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get all rates needed to project standard mizer model — mizerRates","text":"List rates.","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerRates.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Get all rates needed to project standard mizer model — mizerRates","text":"default function returns list following components: encounter mizerEncounter() feeding_level mizerFeedingLevel() e mizerEReproAndGrowth() e_repro mizerERepro() e_growth mizerEGrowth() pred_rate mizerPredRate() pred_mort mizerPredMort() f_mort mizerFMort() mort mizerMort() rdi mizerRDI() rdd BevertonHoltRDD() resource_mort mizerResourceMort() However can replace rate functions rate function wish, see setRateFunction() details.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/mizerResourceMort.html","id":null,"dir":"Reference","previous_headings":"","what":"Get predation mortality rate for resource needed to project standard mizer model — mizerResourceMort","title":"Get predation mortality rate for resource needed to project standard mizer model — mizerResourceMort","text":"Calculates predation mortality rate \\(\\mu_p(w)\\) resource spectrum resource size (units 1/year). usually call function directly instead use getResourceMort(), calls function unless alternative function registered, see .","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerResourceMort.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get predation mortality rate for resource needed to project standard mizer model — mizerResourceMort","text":"","code":"mizerResourceMort(params, n, n_pp, n_other, t, pred_rate, ...)"},{"path":"https://sizespectrum.org/mizer/reference/mizerResourceMort.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get predation mortality rate for resource needed to project standard mizer model — mizerResourceMort","text":"params MizerParams object n matrix species abundances (species x size). n_pp vector resource abundance size n_other list abundances dynamical components ecosystem t time calculation (used standard mizer rate functions useful extensions time-dependent parameters.) pred_rate two dimensional array (predator species x prey size) predation rate, prey size runs fish community plus resource spectrum. ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerResourceMort.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get predation mortality rate for resource needed to project standard mizer model — mizerResourceMort","text":"vector mortality rate resource size.","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerResourceMort.html","id":"your-own-resource-mortality-function","dir":"Reference","previous_headings":"","what":"Your own resource mortality function","title":"Get predation mortality rate for resource needed to project standard mizer model — mizerResourceMort","text":"default getResourceMort() calls mizerResourceMort(). However can replace alternative resource mortality function. function called \"myResourceMort\" register MizerParams object params   function called instead mizerResourceMort(), arguments.","code":"params <- setRateFunction(params, \"ResourceMort\", \"myResourceMort\")"},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/needs_upgrading.html","id":null,"dir":"Reference","previous_headings":"","what":"Determine whether a MizerParams or MizerSim object needs to be upgraded — needs_upgrading","title":"Determine whether a MizerParams or MizerSim object needs to be upgraded — needs_upgrading","text":"Looks mizer version used last update object returns TRUE changes since version require upgrade object. usually call function. Upgrades initiated automatically validParams validSim necessary.","code":""},{"path":"https://sizespectrum.org/mizer/reference/needs_upgrading.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Determine whether a MizerParams or MizerSim object needs to be upgraded — needs_upgrading","text":"","code":"needs_upgrading(object)"},{"path":"https://sizespectrum.org/mizer/reference/needs_upgrading.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Determine whether a MizerParams or MizerSim object needs to be upgraded — needs_upgrading","text":"object MizerParams MizerSim object","code":""},{"path":"https://sizespectrum.org/mizer/reference/needs_upgrading.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Determine whether a MizerParams or MizerSim object needs to be upgraded — needs_upgrading","text":"TRUE FALSE","code":""},{"path":"https://sizespectrum.org/mizer/reference/newCommunityParams.html","id":null,"dir":"Reference","previous_headings":"","what":"Set up parameters for a community-type model — newCommunityParams","title":"Set up parameters for a community-type model — newCommunityParams","text":"functions creates MizerParams object describing community-type model. function many arguments, default values.","code":""},{"path":"https://sizespectrum.org/mizer/reference/newCommunityParams.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Set up parameters for a community-type model — newCommunityParams","text":"","code":"newCommunityParams(   max_w = 1e+06,   min_w = 0.001,   no_w = 100,   min_w_pp = 1e-10,   z0 = 0.1,   alpha = 0.2,   f0 = 0.7,   h = 10,   gamma = NA,   beta = 100,   sigma = 2,   n = 2/3,   kappa = 1000,   lambda = 2.05,   r_pp = 10,   knife_edge_size = 1000,   reproduction )"},{"path":"https://sizespectrum.org/mizer/reference/newCommunityParams.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Set up parameters for a community-type model — newCommunityParams","text":"max_w maximum size community. w_max species used represent community set value. min_w minimum size community. no_w number size bins consumer spectrum. min_w_pp smallest size resource spectrum. default set smallest value consumers can feed. z0 background mortality community. alpha assimilation efficiency community. f0 average feeding level individuals feed power-law spectrum. value used calculate search rate parameter gamma. h coefficient maximum food intake rate. gamma Volumetric search rate. Estimated using h, f0 kappa supplied. beta preferred predator prey mass ratio. sigma width prey preference. n allometric growth exponent. Used allometric exponent maximum intake rate community well intrinsic growth rate resource. kappa coefficient initial resource abundance power-law. lambda Used set power-law exponent resource capacity resource_capacity argument given single number. r_pp . Use resource_rate argument instead. knife_edge_size size edge knife-edge-selectivity function. reproduction constant reproduction smallest size class community spectrum. default set community spectrum continuous resource spectrum.","code":""},{"path":"https://sizespectrum.org/mizer/reference/newCommunityParams.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Set up parameters for a community-type model — newCommunityParams","text":"object type MizerParams","code":""},{"path":"https://sizespectrum.org/mizer/reference/newCommunityParams.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Set up parameters for a community-type model — newCommunityParams","text":"community model several features distinguish multi-species model: Species identities individuals ignored. aggregated single community. resource spectrum extends start community spectrum. Reproductive rate constant, independent energy invested reproduction, set 0. Standard metabolism turned (parameter ks set 0). Consequently, growth rate now determined solely assimilated food Fishing selectivity modelled knife-edge function one parameter, knife_edge_size, determines size species selected. resulting MizerParams object can projected forward using project() like MizerParams object. projecting community model may necessary keep small time step size dt around 0.1 avoid instabilities solver. can check numerical instabilities plotting biomass abundance time projection.","code":""},{"path":"https://sizespectrum.org/mizer/reference/newCommunityParams.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Set up parameters for a community-type model — newCommunityParams","text":"K. H. Andersen,J. E. Beyer P. Lundberg, 2009, Trophic individual efficiencies size-structured communities, Proceedings Royal Society, 276, 109-114","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/newCommunityParams.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Set up parameters for a community-type model — newCommunityParams","text":"","code":"params <- newCommunityParams() sim <- project(params, t_max = 10) plotBiomass(sim)  plotSpectra(sim, power = 2)   # More satiation. More mortality params <- newCommunityParams(f0 = 0.8, z0 = 0.4) sim <- project(params, t_max = 10) plotBiomass(sim)  plotSpectra(sim, power = 2)"},{"path":"https://sizespectrum.org/mizer/reference/newMultispeciesParams.html","id":null,"dir":"Reference","previous_headings":"","what":"Set up parameters for a general multispecies model — newMultispeciesParams","title":"Set up parameters for a general multispecies model — newMultispeciesParams","text":"Sets multi-species size spectrum model filling slots MizerParams object based user-provided default parameters. long list arguments, almost sensible default values. required argument species_params data frame. arguments described details sections list.","code":""},{"path":"https://sizespectrum.org/mizer/reference/newMultispeciesParams.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Set up parameters for a general multispecies model — newMultispeciesParams","text":"","code":"newMultispeciesParams(   species_params,   interaction = NULL,   no_w = 100,   min_w = 0.001,   max_w = NA,   min_w_pp = NA,   pred_kernel = NULL,   search_vol = NULL,   intake_max = NULL,   metab = NULL,   p = 0.7,   ext_mort = NULL,   z0pre = 0.6,   z0exp = n - 1,   ext_encounter = NULL,   maturity = NULL,   repro_prop = NULL,   RDD = \"BevertonHoltRDD\",   kappa = 1e+11,   n = 2/3,   resource_rate = 10,   resource_capacity = kappa,   lambda = 2.05,   w_pp_cutoff = 10,   resource_dynamics = \"resource_semichemostat\",   gear_params = NULL,   selectivity = NULL,   catchability = NULL,   initial_effort = NULL,   info_level = 3,   z0 = deprecated(),   r_pp = deprecated() )"},{"path":"https://sizespectrum.org/mizer/reference/newMultispeciesParams.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Set up parameters for a general multispecies model — newMultispeciesParams","text":"species_params data frame species-specific parameter values. interaction Optional interaction matrix species (predator species x prey species). default entries 1. See \"Setting interaction matrix\" section . no_w number size bins consumer spectrum. min_w Sets size eggs species given w_min column species_params dataframe. max_w largest size consumer spectrum. default set largest w_max specified species_params data frame. min_w_pp smallest size resource spectrum. default set smallest value consumers can feed. pred_kernel Optional. array (species x predator size x prey size) holds predation coefficient predator size prey size. supplied, default set described section \"Setting predation kernel\". search_vol Optional. array (species x size) holding search volume species size. supplied, default set described section \"Setting search volume\". intake_max Optional. array (species x size) holding maximum intake rate species size. supplied, default set described section \"Setting maximum intake rate\". metab Optional. array (species x size) holding metabolic rate species size. supplied, default set described section \"Setting metabolic rate\". p allometric metabolic exponent. used metab given explicitly exponent specified p column species_params. ext_mort Optional. array (species x size) holding external mortality rate.  supplied, default set described section \"Setting external mortality rate\". z0pre z0, mortality sources, column species data frame, calculated z0pre * w_max ^ z0exp. Default value 0.6. z0exp z0, mortality sources, column species data frame, calculated z0pre * w_max ^ z0exp. Default value n-1. ext_encounter Optional. array (species x size) holding external encounter rate.  supplied, external encounter rate left unchanged. Initially set 0. maturity Optional. array (species x size) holds proportion individuals species size mature. supplied, default set described section \"Setting reproduction\". repro_prop Optional. array (species x size) holds proportion consumed energy mature individual allocates reproduction species size. supplied, default set described section \"Setting reproduction\". RDD name function calculating density-dependent reproduction rate density-independent rate. Defaults \"BevertonHoltRDD()\". kappa coefficient initial resource abundance power-law. n allometric growth exponent. can overruled individual species including n column species_params. resource_rate Optional. vector per-capita resource birth rate size class single number giving coefficient power-law rate, see \"Setting resource dynamics\" . Must strictly positive. resource_capacity Optional. Vector resource intrinsic carrying capacities coefficient power-law capacity, see \"Setting resource dynamics\" . resource capacity must larger resource abundance. lambda Used set power-law exponent resource capacity resource_capacity argument given single number. w_pp_cutoff upper cut size resource spectrum power law used resource_capacity given single number. changing w_pp_cutoff without providing resource_capacity, cutoff can decreased. case, carrying capacity initial resource abundance cut new value. increase cutoff, must also provide resource_capacity extended range. resource_dynamics Optional. Name function determines resource dynamics calculating resource spectrum next time step current state. gear_params data frame gear-specific parameter values. selectivity Optional. array (gear x species x size) holds selectivity gear species size, \\(S_{g,,w}\\). catchability Optional. array (gear x species) holds catchability species gear, \\(Q_{g,}\\). initial_effort Optional. number named numeric vector specifying fishing effort. number, effort used gears. vector, must named gear. info_level Controls amount information messages shown function sets default values parameters. Higher levels lead messages. z0 Use ext_mort instead. confused species_parameter z0. r_pp . Use resource_rate argument instead.","code":""},{"path":"https://sizespectrum.org/mizer/reference/newMultispeciesParams.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Set up parameters for a general multispecies model — newMultispeciesParams","text":"object type MizerParams","code":""},{"path":"https://sizespectrum.org/mizer/reference/newMultispeciesParams.html","id":"species-parameters","dir":"Reference","previous_headings":"","what":"Species parameters","title":"Set up parameters for a general multispecies model — newMultispeciesParams","text":"essential argument data frame contains species parameters. data frame arranged species parameter, column parameter data frame parameter row values parameters one species model. two essential columns must included species parameter data.frame default values: species column hold strings names species w_max column maximum sizes species grams. (alternatively specify maximum length cm l_max column.) species_params dataframe also needs contain parameters needed predation kernel function (size selectivity function). mentioned appropriate sections . species parameters, mizer calculate default values included species parameter data frame. automatically added MizerParams object created. parameters can also specify values species leave entries NA missing values set defaults. species_params data frame saved returned MizerParams object differ one supply missing species parameters filled default values. happy species parameter values used can always change later species_params<-(). parameters mentioned following sections.","code":""},{"path":"https://sizespectrum.org/mizer/reference/newMultispeciesParams.html","id":"setting-initial-values","dir":"Reference","previous_headings":"","what":"Setting initial values","title":"Set up parameters for a general multispecies model — newMultispeciesParams","text":"initial values species number densities set using function get_initial_n(). quite arbitrary close steady state abundances. intend improve future. initial resource number density \\(N_R(w)\\) set power law coefficient kappa (\\(\\kappa\\)) exponent -lambda (\\(-\\lambda\\)): $$N_R(w) = \\kappa\\, w^{-\\lambda}$$ \\(w\\) less w_pp_cutoff zero larger sizes.","code":""},{"path":"https://sizespectrum.org/mizer/reference/newMultispeciesParams.html","id":"size-grid","dir":"Reference","previous_headings":"","what":"Size grid","title":"Set up parameters for a general multispecies model — newMultispeciesParams","text":"size grid created log-sizes equally spaced. spacing chosen no_w fish size bins, smallest starting min_w largest starting max_w. resource spectrum larger set bins containing additional bins min_w, log size. number extra bins min_w_pp comes lie within smallest bin.","code":""},{"path":"https://sizespectrum.org/mizer/reference/newMultispeciesParams.html","id":"units-in-mizer","dir":"Reference","previous_headings":"","what":"Units in mizer","title":"Set up parameters for a general multispecies model — newMultispeciesParams","text":"Mizer uses grams measure weight, centimetres measure lengths, years measure time. Mizer agnostic whether abundances given numbers per area, numbers per volume total numbers entire study area. make choice convenient application stick . make choice 1 2 also choose unit area volume. choice determine units parameters. mentioned parameters discussed sections . choice also affect units quantities may want calculate model. example, yield grams/year/m^2 case 1 choose m^2 measure area, grams/year/m^3 case 2 choose m^3 unit volume, simply grams/year case 3. comment applies measures, like total biomass, grams/area case 1, grams/volume case 2 simply grams case 3. mizer puts units axes plots, choose units appropriate case 3. example plotBiomass() gives unit grams. can convert choices. example, use case 1, need multiply area ecosystem get total quantity. work case 2, need multiply area thickness productive layer. respect, case 2 bit cumbersome. function scaleModel() useful change units using.","code":""},{"path":"https://sizespectrum.org/mizer/reference/newMultispeciesParams.html","id":"setting-interaction-matrix","dir":"Reference","previous_headings":"","what":"Setting interaction matrix","title":"Set up parameters for a general multispecies model — newMultispeciesParams","text":"need specify interaction matrix. , predator-prey interactions purely determined size predator prey totally independent species predator prey. interaction matrix \\(\\theta_{ij}\\) modifies interaction pair species model. can used example allow different spatial overlap among species. values interaction matrix used scale encountered food predation mortality (see website section predator-prey encounter rate predation mortality). first index refers predator species second prey species. interaction matrix used calculating food encounter rate getEncounter() predation mortality rate getPredMort(). entries dimensionless numbers. values interaction matrix equal predator-prey interactions determined entirely size-preference. function checks supplied interaction matrix valid stores interaction slot params object. order columns rows interaction argument order species params data frame params object. supply named array function check order warn different. One way creating interaction matrix enter data using spreadsheet program saving .csv file. data can read R using command read.csv(). interaction species resource set via column interaction_resource species_params data frame. default column set 1s.","code":""},{"path":"https://sizespectrum.org/mizer/reference/newMultispeciesParams.html","id":"setting-predation-kernel","dir":"Reference","previous_headings":"","what":"Setting predation kernel","title":"Set up parameters for a general multispecies model — newMultispeciesParams","text":"Kernel dependent predator prey size ratio pred_kernel argument supplied, function sets predation kernel depends ratio predator mass prey mass, two masses independently. shape kernel determined pred_kernel_type column species_params. default pred_kernel_type \"lognormal\". call function lognormal_pred_kernel() calculate predation kernel. alternative pred_kernel type \"box\", implemented function box_pred_kernel(), \"power_law\", implemented function power_law_pred_kernel(). functions require certain species parameters species_params data frame. lognormal kernel beta sigma, box kernel ppmr_min ppmr_max. explained help pages kernel functions. Except beta sigma, defaults set parameters. missing species_params data frame mizer issue error message. can use string pred_kernel_type. example choose \"\" need define function my_pred_kernel can model existing functions like lognormal_pred_kernel(). using kernel depends predator/prey size ratio , mizer need store entire three dimensional array MizerParams object. array can big large number size bins. Instead, mizer needs store two two-dimensional arrays hold Fourier transforms feeding kernel function allow encounter rate predation rate calculated efficiently. However, need full three-dimensional array can calculate getPredKernel() function. Kernel dependent predator prey size want work feeding kernel depends predator mass prey mass independently, can specify full feeding kernel three-dimensional array (predator species x predator size x prey size). use option kernel dependent predator/prey mass ratio appropriate. Using kernel dependent predator/prey mass ratio allows mizer use fast Fourier transform methods significantly reduce running time simulations. order predator species pred_kernel order species params dataframe params object. supply named array function check order warn different.","code":""},{"path":"https://sizespectrum.org/mizer/reference/newMultispeciesParams.html","id":"setting-search-volume","dir":"Reference","previous_headings":"","what":"Setting search volume","title":"Set up parameters for a general multispecies model — newMultispeciesParams","text":"search volume \\(\\gamma_i(w)\\) individual species \\(\\) weight \\(w\\) multiplies predation kernel calculating encounter rate getEncounter() predation rate getPredRate(). name \"search volume\" bit misleading, \\(\\gamma_i(w)\\) units volume. simply parameter determines rate predation. units depend choice, see section \"Units mizer\". chosen work total abundances, rate units 1/year. chosen work abundances per m^2 units m^2/year. chosen work abundances per m^3 units m^3/year. search_vol argument supplied, search volume set $$\\gamma_i(w) = \\gamma_i w^q_i.$$ values \\(\\gamma_i\\) (search volume 1g) \\(q_i\\) (allometric exponent search volume) taken gamma q columns species parameter dataframe. gamma column supplied species parameter dataframe, default calculated get_gamma_default() function. Note predators size \\(w = 1\\) gram value species parameter \\(\\gamma_i\\) value search volume \\(\\gamma_i(w)\\).","code":""},{"path":"https://sizespectrum.org/mizer/reference/newMultispeciesParams.html","id":"setting-maximum-intake-rate","dir":"Reference","previous_headings":"","what":"Setting maximum intake rate","title":"Set up parameters for a general multispecies model — newMultispeciesParams","text":"maximum intake rate \\(h_i(w)\\) individual species \\(\\) weight \\(w\\) determines feeding level, calculated getFeedingLevel(). measured grams/year. intake_max argument supplied, maximum intake rate set $$h_i(w) = h_i w^{n_i}.$$ values \\(h_i\\) (maximum intake rate individual size 1 gram) \\(n_i\\) (allometric exponent intake rate) taken h n columns species parameter dataframe. h column supplied species parameter dataframe, calculated get_h_default() function. \\(h_i\\) set Inf, fish species consume encountered food.","code":""},{"path":"https://sizespectrum.org/mizer/reference/newMultispeciesParams.html","id":"setting-metabolic-rate","dir":"Reference","previous_headings":"","what":"Setting metabolic rate","title":"Set up parameters for a general multispecies model — newMultispeciesParams","text":"metabolic rate subtracted energy income rate calculate rate energy available growth reproduction, see getEReproAndGrowth(). measured grams/year. metab argument supplied, species metabolic rate \\(k(w)\\) individual size \\(w\\) set $$k(w) = k_s w^p + k w,$$ \\(k_s w^p\\) represents rate standard metabolism \\(k w\\) rate energy expended activity movement. values \\(k_s\\), \\(p\\) \\(k\\) taken ks, p k columns species parameter dataframe. parameters supplied, defaults \\(k = 0\\), \\(p = n\\) $$k_s = f_c h \\alpha w_{mat}^{n-p},$$ \\(f_c\\) critical feeding level taken fc column species parameter data frame. critical feeding level specified, default \\(f_c = 0.2\\) used.","code":""},{"path":"https://sizespectrum.org/mizer/reference/newMultispeciesParams.html","id":"setting-external-mortality-rate","dir":"Reference","previous_headings":"","what":"Setting external mortality rate","title":"Set up parameters for a general multispecies model — newMultispeciesParams","text":"external mortality mortality due fishing predation predators included model. external mortality due predation predators explicitly included model (e.g. mammals seabirds) due causes like illness. rate units 1/year. ext_mort argument allows specify external mortality rate depends species body size. can see example Examples section help page setExtMort(). ext_mort argument supplied, external mortality assumed depend species, size individual: \\(\\mu_{ext.}(w) = z_{0.}\\). value constant \\(z_0\\) species taken z0 column species parameter data frame, column exists. Otherwise calculated $$z_{0.} = {\\tt z0pre}_i\\, w_{inf}^{\\tt z0exp}.$$","code":""},{"path":"https://sizespectrum.org/mizer/reference/newMultispeciesParams.html","id":"setting-external-encounter-rate","dir":"Reference","previous_headings":"","what":"Setting external encounter rate","title":"Set up parameters for a general multispecies model — newMultispeciesParams","text":"external encounter rate rate predator encounters food explicitly modelled. rate units mass/year. ext_encounter argument allows specify external encounter rate depends species body size. can see example Examples section help page setExtEncounter().","code":""},{"path":"https://sizespectrum.org/mizer/reference/newMultispeciesParams.html","id":"setting-reproduction","dir":"Reference","previous_headings":"","what":"Setting reproduction","title":"Set up parameters for a general multispecies model — newMultispeciesParams","text":"species size, proportion \\(\\psi\\) available energy invested reproduction product two factors: proportion maturity individuals mature proportion repro_prop energy available mature individual invested reproduction. size w_repro_max energy invested reproduction therefore growth stops. can fish larger w_repro_max. specified w_repro_max column species parameter data frame, maximum size w_max used instead.","code":""},{"path":"https://sizespectrum.org/mizer/reference/newMultispeciesParams.html","id":"maturity-ogive","dir":"Reference","previous_headings":"","what":"Maturity ogive","title":"Set up parameters for a general multispecies model — newMultispeciesParams","text":"proportion individuals mature supplied via maturity argument, set sigmoidal maturity ogive changes 0 1 around maturity size: $${\\tt maturity}(w) = \\left[1+\\left(\\frac{w}{w_{mat}}\\right)^{-U}\\right]^{-1}.$$ (avoid clutter, showing species index equations, although species maturity ogive.) maturity weights taken w_mat column species_params data frame. missing maturity weights set 1/4 maximum weight w_max column. exponent \\(U\\) determines steepness maturity ogive. default chosen \\(U = 10\\), however can overridden including column w_mat25 species parameter dataframe specifies weight 25% individuals mature, sets \\(U = \\log(3) / \\log(w_{mat} / w_{mat25}).\\) sigmoidal function given strictly reach 1 asymptotically. Mizer instead sets function equal 1 already size taken w_repro_max column species parameter data frame, exists, otherwise w_max column. Also, computational simplicity, proportion smaller 1e-8 set 0.","code":""},{"path":"https://sizespectrum.org/mizer/reference/newMultispeciesParams.html","id":"investment-into-reproduction","dir":"Reference","previous_headings":"","what":"Investment into reproduction","title":"Set up parameters for a general multispecies model — newMultispeciesParams","text":"energy available mature individual invested reproduction supplied via repro_prop argument, set allometric form $${\\tt repro\\_prop}(w) = \\left(\\frac{w}{w_{\\tt{repro\\_max}}}\\right)^{m-n}.$$ \\(n\\) scaling exponent energy income rate. Hence exponent \\(m\\) determines scaling investment reproduction mature individuals. default chosen \\(m = 1\\) rate energy invested reproduction scales linearly size. default can overridden including column m species parameter dataframe. maximum sizes taken w_repro_max column species parameter data frame, exists, otherwise w_max column. total proportion energy invested reproduction individual size \\(w\\) $$\\psi(w) = {\\tt maturity}(w){\\tt repro\\_prop}(w)$$","code":""},{"path":"https://sizespectrum.org/mizer/reference/newMultispeciesParams.html","id":"reproductive-efficiency","dir":"Reference","previous_headings":"","what":"Reproductive efficiency","title":"Set up parameters for a general multispecies model — newMultispeciesParams","text":"reproductive efficiency \\(\\epsilon\\), .e., proportion energy allocated reproduction results egg biomass, set erepro column species_params data frame. provided, default set 1 (want override). offspring biomass divided egg biomass gives rate egg production, returned getRDI(): $$R_{di} = \\frac{\\epsilon}{2 w_{min}} \\int N(w)  E_r(w) \\psi(w) \\, dw$$","code":""},{"path":"https://sizespectrum.org/mizer/reference/newMultispeciesParams.html","id":"density-dependence","dir":"Reference","previous_headings":"","what":"Density dependence","title":"Set up parameters for a general multispecies model — newMultispeciesParams","text":"stock-recruitment relationship emergent phenomenon mizer, several sources density dependence. Firstly, amount energy invested reproduction depends energy income spawners, density-dependent due competition prey. Secondly, proportion larvae grow recruitment size depends larval mortality, depends density predators, larval growth rate, depends density prey. Finally, encode density dependence stock-recruitment relationship already included two sources density dependence, mizer puts density-independent rate egg production density-dependence function. result returned getRDD(). name density-dependence function specified RDD argument. default Beverton-Holt function BevertonHoltRDD(), requires R_max column species_params data frame giving maximum egg production rate. column exist, initialised Inf, leading density-dependence. functions provided mizer RickerRDD() SheperdRDD() can easily use models writing functions.","code":""},{"path":"https://sizespectrum.org/mizer/reference/newMultispeciesParams.html","id":"setting-fishing","dir":"Reference","previous_headings":"","what":"Setting fishing","title":"Set up parameters for a general multispecies model — newMultispeciesParams","text":"Gears mizer, fishing mortality imposed species fishing gears. total per-capita fishing mortality (1/year) obtained summing mortality gears, $$\\mu_{f.}(w) = \\sum_g F_{g,}(w),$$ fishing mortality \\(F_{g,}(w)\\) imposed gear \\(g\\) species \\(\\) size \\(w\\) calculated : $$F_{g,}(w) = S_{g,}(w) Q_{g,} E_{g},$$ \\(S\\) selectivity species, gear size, \\(Q\\) catchability species gear \\(E\\) fishing effort gear. Selectivity selectivity size gear species saved three dimensional array (gear x species x size). entry range 0 (gear selecting species size) 1 (gear selecting individuals species size). three dimensional array can specified explicitly via selectivity argument, usually mizer calculates gear_params slot MizerParams object. allow calculation selectivity array, gear_params slot must data frame one row gear-species combination. example gear can select three species, gear contributes three rows gear_params data frame, one species can select. data frame must columns gear, holding name gear, species, holding name species, sel_func, holding name function calculates selectivity curve. selectivity functions included package: knife_edge(), sigmoid_length(), double_sigmoid_length(), sigmoid_weight(). Users able write size-based selectivity function. first argument function must w function must return vector selectivity (0 1) size. selectivity function may parameters. Values parameters must included columns gear parameters data.frame. names columns must exactly match names corresponding arguments selectivity function. example, default selectivity function knife_edge() sudden change selectivity 0 1 certain size. help page can see knife_edge() function arguments w knife_edge_size. first argument, w, size (function calculates selectivity size). selectivity functions must w first argument. values arguments must found gear parameters data.frame. knife_edge() function knife_edge_size column. knife_edge() default selectivity function, knife_edge_size argument default value = w_mat. commonly-used selectivity function sigmoid_length(). smooth transition 0 1 certain size. sigmoid_length() function two parameters l50 l25 lengths cm 50% 25% fish selected gear. choose selectivity function l50 l25 columns must included gear parameters data.frame. case species selected one gear, columns gear_params data frame can alternatively provided columns species_params data frame, convenient user set . Mizer copy columns create gear_params data frame creates MizerParams object. However changing columns species parameter data frame later update gear_params data frame. Catchability Catchability used additional factor make link gear selectivity, fishing effort fishing mortality. example, can set effort 1 gives desired fishing mortality. way effort can specified relative 'base effort', e.g. effort particular year. Catchability stored two dimensional array (gear x species). can either provided explicitly via catchability argument, information can provided via catchability column gear_params data frame. case species selected single gear, catchability column can also provided species_params data frame. Mizer copy gear_params data frame MizerParams object created. Effort initial fishing effort stored MizerParams object. supplied, set zero. initial effort can overruled simulation run project(), also possible specify effort varies time.","code":""},{"path":"https://sizespectrum.org/mizer/reference/newMultispeciesParams.html","id":"setting-resource-dynamics","dir":"Reference","previous_headings":"","what":"Setting resource dynamics","title":"Set up parameters for a general multispecies model — newMultispeciesParams","text":"resource_dynamics argument allows choose resource dynamics function. default, mizer uses semichemostat model describe resource dynamics size class independently. semichemostat dynamics implemented function resource_semichemostat(). can change use logistic model implemented resource_logistic() can use resource_constant() keeps resource constant can write function. resource_semichemostat() resource_logistic() dynamics parametrised terms size-dependent birth rate \\(r_R(w)\\) size-dependent capacity \\(c_R\\). help pages functions give details. resource_rate argument can vector (length w_full(params)) specifying intrinsic resource birth rate size class. Alternatively can single number used coefficient power law: intrinsic birth rate \\(r_R(w)\\) size \\(w\\) set $$r_R(w) = r_R w^{n-1}.$$ power-law exponent \\(n\\) taken n argument. resource_capacity argument can vector specifying intrinsic resource carrying capacity size class. Alternatively can single number used coefficient truncated power law: intrinsic carrying capacity \\(c_R(w)\\) size \\(w\\) set $$c_R(w) = c_R\\, w^{-\\lambda}$$ \\(w\\) less w_pp_cutoff zero larger sizes. power-law exponent \\(\\lambda\\) taken lambda argument. values lambda, n w_pp_cutoff stored list resource_params slot MizerParams object can re-used automatically future. list can accessed resource_params().","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/newMultispeciesParams.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Set up parameters for a general multispecies model — newMultispeciesParams","text":"","code":"params <- newMultispeciesParams(NS_species_params) #> Because you have n != p, the default value for `h` is not very good. #> Because the age at maturity is not known, I need to fall back to using #> von Bertalanffy parameters, where available, and this is not reliable. #> No ks column so calculating from critical feeding level. #> Using z0 = z0pre * w_max ^ z0exp for missing z0 values. #> Using f0, h, lambda, kappa and the predation kernel to calculate gamma."},{"path":"https://sizespectrum.org/mizer/reference/newSingleSpeciesParams.html","id":null,"dir":"Reference","previous_headings":"","what":"Set up parameters for a single species in a power-law background — newSingleSpeciesParams","title":"Set up parameters for a single species in a power-law background — newSingleSpeciesParams","text":"functions creates MizerParams object single species. species embedded fixed power-law community spectrum $$N_c(w) = \\kappa w^{-\\lambda}$$ community provides food income species. Cannibalism switched . predation mortality arises predators power-law community assumed predators community feeding parameters foreground species. function many arguments, default values.","code":""},{"path":"https://sizespectrum.org/mizer/reference/newSingleSpeciesParams.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Set up parameters for a single species in a power-law background — newSingleSpeciesParams","text":"","code":"newSingleSpeciesParams(   species_name = \"Target species\",   w_max = 100,   w_min = 0.001,   eta = 10^(-0.6),   w_mat = w_max * eta,   no_w = log10(w_max/w_min) * 20 + 1,   n = 3/4,   p = n,   lambda = 2.05,   kappa = 0.005,   alpha = 0.4,   h = 30,   beta = 100,   sigma = 1.3,   f0 = 0.6,   fc = 0.25,   ks = NA,   gamma = NA,   ext_mort_prop = 0,   reproduction_level = 0,   R_factor = deprecated(),   w_inf = deprecated(),   k_vb = deprecated() )"},{"path":"https://sizespectrum.org/mizer/reference/newSingleSpeciesParams.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Set up parameters for a single species in a power-law background — newSingleSpeciesParams","text":"species_name string name species. used plot legends. w_max Maximum size species w_min Egg size species eta Ratio maturity size w_mat maximum size w_max. Default 10^(-0.6), approximately 1/4. Ignored w_mat supplied explicitly. w_mat Maturity size species. Default value eta * w_max. no_w number size bins community spectrum. bins equally spaced logarithmic scale. Default value 20 bins factor 10 weight. n Scaling exponent maximum intake rate. p Scaling exponent standard metabolic rate. default equal exponent n. lambda Exponent abundance power law. kappa Coefficient abundance power law. alpha assimilation efficiency. h Maximum food intake rate. beta Preferred predator prey mass ratio. sigma Width prey size preference. f0 Expected average feeding level. Used set gamma, coefficient search rate. Ignored gamma given explicitly. fc Critical feeding level. Used determine ks given explicitly. ks Standard metabolism coefficient. provided, default calculated critical feeding level argument fc. gamma Volumetric search rate. provided, default determined get_gamma_default() using value f0. ext_mort_prop proportion total mortality comes external mortality, .e., sources explicitly modelled. number interval [0, 1). reproduction_level number 0 1 determines level density dependence reproduction, see setBevertonHolt(). R_factor Use reproduction_level = 1 / R_factor instead. w_inf argument renamed w_max. k_vb von Bertalanffy growth parameter.","code":""},{"path":"https://sizespectrum.org/mizer/reference/newSingleSpeciesParams.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Set up parameters for a single species in a power-law background — newSingleSpeciesParams","text":"object type MizerParams","code":""},{"path":"https://sizespectrum.org/mizer/reference/newSingleSpeciesParams.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Set up parameters for a single species in a power-law background — newSingleSpeciesParams","text":"addition setting parameters, function also sets initial condition close steady state, assumption fishing.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/newSingleSpeciesParams.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Set up parameters for a single species in a power-law background — newSingleSpeciesParams","text":"","code":"params <- newSingleSpeciesParams() sim <- project(params, t_max = 5, effort = 0) plotSpectra(sim)"},{"path":"https://sizespectrum.org/mizer/reference/newTraitParams.html","id":null,"dir":"Reference","previous_headings":"","what":"Set up parameters for a trait-based multispecies model — newTraitParams","title":"Set up parameters for a trait-based multispecies model — newTraitParams","text":"functions creates MizerParams object describing trait-based model. simplification general size-based model used mizer species-specific parameters species, except maximum size, considered important trait characterizing species. parameters related maximum size. example, size maturity given w_max * eta, eta species. trait-based model number species important. applications trait-based model see Andersen & Pedersen (2010). See mizer website details examples trait-based model.","code":""},{"path":"https://sizespectrum.org/mizer/reference/newTraitParams.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Set up parameters for a trait-based multispecies model — newTraitParams","text":"","code":"newTraitParams(   no_sp = 11,   min_w_max = 10,   max_w_max = 10^4,   min_w = 10^(-3),   max_w = max_w_max,   eta = 10^(-0.6),   min_w_mat = min_w_max * eta,   no_w = round(log10(max_w_max/min_w) * 20 + 1),   min_w_pp = 1e-10,   w_pp_cutoff = min_w_mat,   n = 2/3,   p = n,   lambda = 2.05,   r_pp = 0.1,   kappa = 0.005,   alpha = 0.4,   h = 40,   beta = 100,   sigma = 1.3,   f0 = 0.6,   fc = 0.25,   ks = NA,   gamma = NA,   ext_mort_prop = 0,   reproduction_level = 1/4,   R_factor = deprecated(),   gear_names = \"knife_edge_gear\",   knife_edge_size = 1000,   egg_size_scaling = FALSE,   resource_scaling = FALSE,   perfect_scaling = FALSE,   min_w_inf = deprecated(),   max_w_inf = deprecated() )"},{"path":"https://sizespectrum.org/mizer/reference/newTraitParams.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Set up parameters for a trait-based multispecies model — newTraitParams","text":"no_sp number species model. min_w_max maximum size smallest species community. rounded lie grid point. max_w_max maximum size largest species community. rounded lie grid point. min_w size egg smallest species. also defines start community size spectrum. max_w largest size model. default set largest maximum size max_w_max. Setting something larger makes sense plan add larger species model later. eta Ratio maturity size maximum size species. Ignored min_w_mat supplied. Default 10^(-0.6), approximately 1/4. min_w_mat maturity size smallest species. Default value eta * min_w_max. rounded lie grid point. no_w number size bins community spectrum. bins equally spaced logarithmic scale. Default value 20 bins factor 10 weight. min_w_pp smallest size resource spectrum. default set smallest value consumers can feed. w_pp_cutoff largest size resource spectrum. Default value min_w_max unless perfect_scaling = TRUE Inf. n Scaling exponent maximum intake rate. p Scaling exponent standard metabolic rate. default equal exponent n. lambda Exponent abundance power law. r_pp Growth rate parameter resource spectrum. kappa Coefficient abundance power law. alpha assimilation efficiency. h Maximum food intake rate. beta Preferred predator prey mass ratio. sigma Width prey size preference. f0 Expected average feeding level. Used set gamma, coefficient search rate. Ignored gamma given explicitly. fc Critical feeding level. Used determine ks given explicitly. ks Standard metabolism coefficient. provided, default calculated critical feeding level argument fc. gamma Volumetric search rate. provided, default determined get_gamma_default() using value f0. ext_mort_prop proportion total mortality comes external mortality, .e., sources explicitly modelled. number interval [0, 1). reproduction_level number 0 1 determines level density dependence reproduction, see setBevertonHolt(). R_factor Use reproduction_level = 1 / R_factor instead. gear_names names fishing gears species. character vector, length number species. knife_edge_size minimum size gear gears select fish. single value gear vector one value gear. egg_size_scaling TRUE, egg size constant fraction maximum size species. fraction min_w / min_w_max. FALSE, species egg size w_min. resource_scaling TRUE, carrying capacity larger resource reduced compensate fact fish eggs larvae present size range. perfect_scaling TRUE parameters set community abundance, growth reproduction death perfect power laws. particular scaling corrections turned . min_w_inf argument renamed min_w_max make clearer refers maximum size species von Bertalanffy asymptotic size parameter. max_w_inf argument renamed max_w_max.","code":""},{"path":"https://sizespectrum.org/mizer/reference/newTraitParams.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Set up parameters for a trait-based multispecies model — newTraitParams","text":"object type MizerParams","code":""},{"path":"https://sizespectrum.org/mizer/reference/newTraitParams.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Set up parameters for a trait-based multispecies model — newTraitParams","text":"function many arguments, default values. particular interest user number species model minimum maximum sizes. characteristic weights smallest species defined min_w (egg size), min_w_mat (maturity size) min_w_max (maximum size). maximum sizes no_sp species logarithmically evenly spaced, ranging min_w_max max_w_max. Similarly maturity sizes species logarithmically evenly spaced, ratio eta maturity size maximum size species. egg_size_scaling = TRUE also ratio maximum size egg size species. Otherwise species egg size. addition setting parameters, function also sets initial condition close steady state. search rate coefficient gamma calculated using expected feeding level, f0. option including fishing given, steady state may loose natural stability much fishing included. case user may wish include stabilising effects (like reproduction_level) ensure steady state stable. Fishing selectivity modelled knife-edge function one parameter, knife_edge_size, size species selected. species can either fished gear (knife_edge_size length 1) different gear (length knife_edge_size length number species order selectivity size maximum size). resulting MizerParams object can projected forward using project() like MizerParams object. projecting model may necessary reduce dt 0.1 avoid instabilities solver. can check plotting biomass abundance time projection.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/newTraitParams.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Set up parameters for a trait-based multispecies model — newTraitParams","text":"","code":"params <- newTraitParams() sim <- project(params, t_max = 5, effort = 0) plotSpectra(sim)"},{"path":"https://sizespectrum.org/mizer/reference/noRDD.html","id":null,"dir":"Reference","previous_headings":"","what":"Give density-independent reproduction rate — noRDD","title":"Give density-independent reproduction rate — noRDD","text":"Simply returns rdi argument.","code":""},{"path":"https://sizespectrum.org/mizer/reference/noRDD.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Give density-independent reproduction rate — noRDD","text":"","code":"noRDD(rdi, ...)"},{"path":"https://sizespectrum.org/mizer/reference/noRDD.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Give density-independent reproduction rate — noRDD","text":"rdi Vector density-independent reproduction rates \\(R_{di}\\) species. ... used.","code":""},{"path":"https://sizespectrum.org/mizer/reference/noRDD.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Give density-independent reproduction rate — noRDD","text":"Vector density-dependent reproduction rates.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/plot-MizerParams-missing-method.html","id":null,"dir":"Reference","previous_headings":"","what":"Summary plot for MizerParams objects — plot,MizerParams,missing-method","title":"Summary plot for MizerParams objects — plot,MizerParams,missing-method","text":"Produces 3 plots window: abundance spectra, feeding level predation mortality species time. method just uses plotting functions puts one window.","code":""},{"path":"https://sizespectrum.org/mizer/reference/plot-MizerParams-missing-method.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Summary plot for MizerParams objects — plot,MizerParams,missing-method","text":"","code":"# S4 method for class 'MizerParams,missing' plot(x, y, ...)"},{"path":"https://sizespectrum.org/mizer/reference/plot-MizerParams-missing-method.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Summary plot for MizerParams objects — plot,MizerParams,missing-method","text":"x object class MizerParams y used ... additional arguments see documentation plotFeedingLevel(),plotSpectra(),plotPredMort()","code":""},{"path":"https://sizespectrum.org/mizer/reference/plot-MizerParams-missing-method.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Summary plot for MizerParams objects — plot,MizerParams,missing-method","text":"viewport object","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/plot-MizerParams-missing-method.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Summary plot for MizerParams objects — plot,MizerParams,missing-method","text":"","code":"# \\donttest{ params <-  NS_params plot(params)  # }"},{"path":"https://sizespectrum.org/mizer/reference/plotBiomass.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot the biomass of species through time — plotBiomass","title":"Plot the biomass of species through time — plotBiomass","text":"running projection, biomass species can plotted time. biomass calculated within user defined size limits (min_w, max_w, min_l, max_l, see getBiomass()).","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotBiomass.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot the biomass of species through time — plotBiomass","text":"","code":"plotBiomass(   sim,   species = NULL,   start_time,   end_time,   y_ticks = 6,   ylim = c(NA, NA),   total = FALSE,   background = TRUE,   highlight = NULL,   return_data = FALSE,   ... )  plotlyBiomass(   sim,   species = NULL,   start_time,   end_time,   y_ticks = 6,   ylim = c(NA, NA),   total = FALSE,   background = TRUE,   highlight = NULL,   ... )"},{"path":"https://sizespectrum.org/mizer/reference/plotBiomass.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot the biomass of species through time — plotBiomass","text":"sim object class MizerSim species species selected. Optional. default target species selected. vector species names, numeric vector species indices, logical vector indicating species whether selected (TRUE) . start_time first time plotted. Default beginning time series. end_time last time plotted. Default end time series. y_ticks approximate number ticks desired y axis ylim numeric vector length two providing lower upper limits y axis. Use NA refer existing minimum maximum. values 1e-20 always cut . Data filtered range axis limits set accordingly. total boolean value determines whether total biomass species plotted well. Default FALSE. background boolean value determines whether background species included. Ignored model contain background species. Default TRUE. highlight Name vector names species highlighted. return_data boolean value determines whether formatted data used plot returned instead plot . Default value FALSE ... Arguments passed get_size_range_array min_w Smallest weight size range. Defaults smallest weight model. max_w Largest weight size range. Defaults largest weight model. min_l Smallest length size range. supplied, takes precedence min_w. max_l Largest length size range. supplied, takes precedence max_w.","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotBiomass.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot the biomass of species through time — plotBiomass","text":"ggplot2 object, unless return_data = TRUE, case data frame four variables 'Year', 'Biomass', 'Species', 'Legend' returned.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/plotBiomass.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot the biomass of species through time — plotBiomass","text":"","code":"# \\donttest{ plotBiomass(NS_sim)  plotBiomass(NS_sim, species = c(\"Sandeel\", \"Herring\"), total = TRUE)  plotBiomass(NS_sim, start_time = 1980, end_time = 1990)   # Returning the data frame fr <- plotBiomass(NS_sim, return_data = TRUE) str(fr) #> 'data.frame':\t528 obs. of  4 variables: #>  $ Year   : int  1967 1968 1969 1970 1971 1972 1973 1974 1975 1976 ... #>  $ Biomass: num  5.08e+10 5.57e+10 5.48e+10 5.32e+10 5.16e+10 ... #>  $ Species: Factor w/ 12 levels \"Sprat\",\"Sandeel\",..: 1 1 1 1 1 1 1 1 1 1 ... #>  $ Legend : Factor w/ 12 levels \"Sprat\",\"Sandeel\",..: 1 1 1 1 1 1 1 1 1 1 ... # }"},{"path":"https://sizespectrum.org/mizer/reference/plotBiomassObservedVsModel.html","id":null,"dir":"Reference","previous_headings":"","what":"Plotting observed vs. model biomass data — plotBiomassObservedVsModel","title":"Plotting observed vs. model biomass data — plotBiomassObservedVsModel","text":"biomass observations available least species via biomass_observed column species parameter data frame, function plots biomass species model observed biomasses. called MizerSim object, plot use model biomasses predicted final time step simulation.","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotBiomassObservedVsModel.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plotting observed vs. model biomass data — plotBiomassObservedVsModel","text":"","code":"plotBiomassObservedVsModel(   object,   species = NULL,   ratio = TRUE,   log_scale = TRUE,   return_data = FALSE,   labels = TRUE,   show_unobserved = FALSE )  plotlyBiomassObservedVsModel(   object,   species = NULL,   ratio = FALSE,   log_scale = TRUE,   return_data = FALSE,   show_unobserved = FALSE )"},{"path":"https://sizespectrum.org/mizer/reference/plotBiomassObservedVsModel.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plotting observed vs. model biomass data — plotBiomassObservedVsModel","text":"object object class MizerParams MizerSim. species species included. Optional. default observed biomasses included. vector species names, numeric vector species indices, logical vector indicating species whether included (TRUE) . ratio Whether plot model biomass vs. observed biomass (FALSE) ratio model : observed biomass (TRUE). Default TRUE. log_scale Whether plot log10 scale (TRUE) (FALSE). non-ratio plot applies axes, ratio plot x-axis log10 scale. Default TRUE. return_data Whether return data frame plot (TRUE) (FALSE). Default FALSE. labels Whether show text labels species (TRUE) (FALSE). Default TRUE. show_unobserved Whether include also species biomass observation available. TRUE, species shown observed biomass equal model biomass.","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotBiomassObservedVsModel.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plotting observed vs. model biomass data — plotBiomassObservedVsModel","text":"ggplot2 object plot model biomass species compared observed biomass. return_data = TRUE, data frame used create plot returned instead plot.","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotBiomassObservedVsModel.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Plotting observed vs. model biomass data — plotBiomassObservedVsModel","text":"can use function need added biomass_observed column model gives observed biomass grams.  species observed biomass, set value biomass_observed column 0 NA. Biomass observations usually include individuals certain size. size specified biomass_cutoff column species parameter data frame. missing, assumed sizes included observed biomass, .e., includes larval biomass. total relative error shown caption plot, calculated $$TRE = \\sum_i|1-\\rm{ratio_i}|$$ \\(\\rm{ratio_i}\\) ratio model biomass / observed biomass species .","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotBiomassObservedVsModel.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plotting observed vs. model biomass data — plotBiomassObservedVsModel","text":"","code":"# create an example params <- NS_params species_params(params)$biomass_observed <-     c(0.8, 61, 12, 35, 1.6, NA, 10, 7.6, 135, 60, 30, NA) species_params(params)$biomass_cutoff <- 10 params <- calibrateBiomass(params)  # Plot with default options plotBiomassObservedVsModel(params, ratio = FALSE)   # Plot including also species without observations plotBiomassObservedVsModel(params, show_unobserved = TRUE, ratio = FALSE)   # Show the ratio instead plotBiomassObservedVsModel(params)"},{"path":"https://sizespectrum.org/mizer/reference/plotDataFrame.html","id":null,"dir":"Reference","previous_headings":"","what":"Make a plot from a data frame — plotDataFrame","title":"Make a plot from a data frame — plotDataFrame","text":"used internally plotting functions.","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotDataFrame.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Make a plot from a data frame — plotDataFrame","text":"","code":"plotDataFrame(   frame,   params,   style = \"line\",   xlab = waiver(),   ylab = waiver(),   xtrans = \"identity\",   ytrans = \"identity\",   xlim = c(NA, NA),   ylim = c(NA, NA),   y_ticks = 6,   highlight = NULL,   legend_var = NULL,   wrap_var = NULL,   wrap_scale = NULL )"},{"path":"https://sizespectrum.org/mizer/reference/plotDataFrame.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Make a plot from a data frame — plotDataFrame","text":"frame data frame least three variables. first three variables used, order, : Variable plotted x-axis Variable plotted y-axis Grouping variable params MizerParams object, used line colours line types. style style plot. Available options \"line' geom_line \"area\" geom_area. Default \"line\". xlab Label x-axis ylab Label y-axis xtrans Transformation x-axis. Often \"log10\" may useful instead default \"identity\". ytrans Transformation y-axis. xlim numeric vector length two providing lower upper limits x axis. Use NA refer existing minimum maximum. ylim numeric vector length two providing lower upper limits y axis. Use NA refer existing minimum maximum. y_ticks approximate number ticks desired y axis highlight Name vector names species highlighted. legend_var name variable used legend determine line style. NULL grouping variable used purpose. wrap_var Optional. name variable used creating wrapped facets. wrap_scale Optional. Used pass scales argument facet_wrap().","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotDataFrame.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Make a plot from a data frame — plotDataFrame","text":"ggplot2 object","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotDiet.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot diet, resolved by prey species, as function of predator at size. — plotDiet","title":"Plot diet, resolved by prey species, as function of predator at size. — plotDiet","text":"Plots proportions prey species contributes total biomass consumed specified predator species, function predator's size. proportions obtained getDiet().","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotDiet.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot diet, resolved by prey species, as function of predator at size. — plotDiet","text":"","code":"plotDiet(object, species = NULL, return_data = FALSE)"},{"path":"https://sizespectrum.org/mizer/reference/plotDiet.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot diet, resolved by prey species, as function of predator at size. — plotDiet","text":"object object class MizerSim MizerParams. species species selected. Optional. default target species selected. vector species names, numeric vector species indices, logical vector indicating species whether selected (TRUE) . return_data boolean value determines whether formatted data used plot returned instead plot . Default value FALSE","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotDiet.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot diet, resolved by prey species, as function of predator at size. — plotDiet","text":"ggplot2 object, unless return_data = TRUE, case data frame four variables 'Predator', 'w', 'Proportion', 'Prey' returned.","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotDiet.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Plot diet, resolved by prey species, as function of predator at size. — plotDiet","text":"Prey species contribute less 1 permille diet suppressed plot. plot extends predator sizes predator meaningful abundance (defined biomass density greater 0.1% maximum biomass density). one predator species selected, plot contains one facet species.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/plotDiet.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot diet, resolved by prey species, as function of predator at size. — plotDiet","text":"","code":"# \\donttest{ plotDiet(NS_params, species = \"Cod\")  plotDiet(NS_params, species = 5:9)   # Returning the data frame fr <- plotDiet(NS_params, species = \"Cod\", return_data = TRUE) str(fr) #> 'data.frame':\t800 obs. of  4 variables: #>  $ Predator  : Factor w/ 1 level \"Cod\": 1 1 1 1 1 1 1 1 1 1 ... #>  $ w         : num  0.486 0.58 0.693 0.827 0.987 1.18 1.4 1.68 2 2.39 ... #>  $ Prey      : Factor w/ 14 levels \"External\",\"Resource\",..: 14 14 14 14 14 14 14 14 14 14 ... #>  $ Proportion: num  0.00113 0.00139 0.0017 0.00208 0.00254 ... # }"},{"path":"https://sizespectrum.org/mizer/reference/plotFMort.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot total fishing mortality of each species by size — plotFMort","title":"Plot total fishing mortality of each species by size — plotFMort","text":"running projection, plot total fishing mortality species size. total fishing mortality averaged specified time range (single value time range can used plot single time step).","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotFMort.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot total fishing mortality of each species by size — plotFMort","text":"","code":"plotFMort(   object,   species = NULL,   time_range,   all.sizes = FALSE,   highlight = NULL,   return_data = FALSE,   ... )  plotlyFMort(object, species = NULL, time_range, highlight = NULL, ...)"},{"path":"https://sizespectrum.org/mizer/reference/plotFMort.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot total fishing mortality of each species by size — plotFMort","text":"object object class MizerSim MizerParams. species species selected. Optional. default target species selected. vector species names, numeric vector species indices, logical vector indicating species whether selected (TRUE) . time_range time range (either vector values, vector min max time, single value) average abundances . Default final time step. Ignored called MizerParams object. .sizes TRUE, fishing mortality plotted also sizes outside species' size range. Default FALSE. highlight Name vector names species highlighted. return_data boolean value determines whether formatted data used plot returned instead plot . Default value FALSE ... arguments (currently unused)","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotFMort.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot total fishing mortality of each species by size — plotFMort","text":"ggplot2 object, unless return_data = TRUE, case data frame three variables 'w', 'value', 'Species' returned.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/plotFMort.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot total fishing mortality of each species by size — plotFMort","text":"","code":"# \\donttest{ params <-  NS_params sim <- project(params, effort=1, t_max=20, t_save = 2, progress_bar = FALSE) plotFMort(sim)  plotFMort(sim, highlight = c(\"Cod\", \"Haddock\"))   # Returning the data frame fr <- plotFMort(sim, return_data = TRUE) str(fr) #> 'data.frame':\t934 obs. of  3 variables: #>  $ w      : num  0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 ... #>  $ value  : num  0 0 0 0 0 0 0 0 0 0 ... #>  $ Species: chr  \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... # }"},{"path":"https://sizespectrum.org/mizer/reference/plotFeedingLevel.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot the feeding level of species by size — plotFeedingLevel","title":"Plot the feeding level of species by size — plotFeedingLevel","text":"running projection, plot feeding level species size. feeding level averaged specified time range (single value time range can used).","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotFeedingLevel.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot the feeding level of species by size — plotFeedingLevel","text":"","code":"plotFeedingLevel(   object,   species = NULL,   time_range,   highlight = NULL,   all.sizes = FALSE,   include_critical = FALSE,   return_data = FALSE,   ... )  plotlyFeedingLevel(   object,   species = NULL,   time_range,   highlight = NULL,   include_critical = FALSE,   ... )"},{"path":"https://sizespectrum.org/mizer/reference/plotFeedingLevel.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot the feeding level of species by size — plotFeedingLevel","text":"object object class MizerSim MizerParams. species species selected. Optional. default target species selected. vector species names, numeric vector species indices, logical vector indicating species whether selected (TRUE) . time_range time range (either vector values, vector min max time, single value) average abundances . Default final time step. Ignored called MizerParams object. highlight Name vector names species highlighted. .sizes TRUE, feeding level plotted also sizes outside species' size range. Default FALSE. include_critical TRUE, critical feeding level also plotted. Default FALSE. return_data boolean value determines whether formatted data used plot returned instead plot . Default value FALSE ... arguments (currently unused)","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotFeedingLevel.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot the feeding level of species by size — plotFeedingLevel","text":"ggplot2 object, unless return_data = TRUE, case data frame variables 'w', 'value' 'Species' returned. also include_critical = TRUE data frame contains fourth variable 'Type' distinguishes 'actual' 'critical' feeding level.","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotFeedingLevel.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Plot the feeding level of species by size — plotFeedingLevel","text":"called MizerSim object, feeding level averaged specified time range (single value time range can used plot single time step). called MizerParams object initial feeding level plotted. include_critical = TRUE critical feeding level (feeding level intake just covers metabolic cost) also plotted, thinner line. line always stay line actual feeding level, species stop growing point feeding level drops critical feeding level.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/plotFeedingLevel.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot the feeding level of species by size — plotFeedingLevel","text":"","code":"# \\donttest{ params <-  NS_params sim <- project(params, effort=1, t_max=20, t_save = 2, progress_bar = FALSE) plotFeedingLevel(sim)  plotFeedingLevel(sim, time_range = 10:20, species = c(\"Cod\", \"Herring\"),                  include_critical = TRUE)   # Returning the data frame fr <- plotFeedingLevel(sim, return_data = TRUE) str(fr) #> 'data.frame':\t934 obs. of  3 variables: #>  $ w      : num  0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 ... #>  $ value  : num  0.622 0.622 0.614 0.621 0.619 ... #>  $ Species: chr  \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... # }"},{"path":"https://sizespectrum.org/mizer/reference/plotGrowthCurves.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot growth curves — plotGrowthCurves","title":"Plot growth curves — plotGrowthCurves","text":"growth curves represent average age living fish species function size. natural plot size x-axis. follow usual convention age-based models, plot size y-axis age x-axis.","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotGrowthCurves.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot growth curves — plotGrowthCurves","text":"","code":"plotGrowthCurves(   object,   species = NULL,   max_age = 20,   percentage = FALSE,   species_panel = FALSE,   highlight = NULL,   size_at_age = NULL,   return_data = FALSE,   ... )  plotlyGrowthCurves(   object,   species = NULL,   max_age = 20,   percentage = FALSE,   species_panel = FALSE,   highlight = NULL )"},{"path":"https://sizespectrum.org/mizer/reference/plotGrowthCurves.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot growth curves — plotGrowthCurves","text":"object MizerSim MizerParams object. given MizerSim object, uses growth rates final time simulation calculate size age. given MizerParams object, uses initial growth rates instead. species species selected. Optional. default target species selected. vector species names, numeric vector species indices, logical vector indicating species whether selected (TRUE) . max_age age run growth curve. Default 20. percentage Boolean value. TRUE, size given percentage maximal size. species_panel TRUE (default), percentage = FALSE, display species facets. Otherwise puts species single panel. highlight Name vector names species highlighted. size_at_age data frame observed size age data plotted top growth curve graphs. contain columns species (species name used model), age (years) either weight (grams) length (cm). weight length provided, weight used. return_data boolean value determines whether formatted data used plot returned instead plot . Default value FALSE ... arguments (currently unused)","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotGrowthCurves.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot growth curves — plotGrowthCurves","text":"ggplot2 object","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotGrowthCurves.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Plot growth curves — plotGrowthCurves","text":"panel single species, horizontal line included indicate maturity size species vertical line indicating maturity age. size age data passed via size_at_age argument, plotted top growth curve. comparing growth curves, need remember growth curves represent average age size. scatter x-direction around curve expected. legacy reasons, species parameters contain variables b length weight conversion von Bertalanffy parameter k_vb, w_inf (optionally t0), von Bertalanffy growth curve superimposed black. implemented understood von Bertalanffy curves (approximates average length age) compared mizer growth curves (approximate average age length).","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/plotGrowthCurves.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot growth curves — plotGrowthCurves","text":"","code":"# \\donttest{ params <-  NS_params sim <- project(params, effort=1, t_max=20, t_save = 2, progress_bar = FALSE) plotGrowthCurves(sim, percentage = TRUE)  plotGrowthCurves(sim, species = \"Cod\", max_age = 24)  plotGrowthCurves(sim, species_panel = TRUE)   # Returning the data frame fr <- plotGrowthCurves(sim, return_data = TRUE) str(fr) #> 'data.frame':\t600 obs. of  4 variables: #>  $ Species: Factor w/ 12 levels \"Sprat\",\"Sandeel\",..: 1 2 3 4 5 6 7 8 9 10 ... #>  $ Age    : num  0 0 0 0 0 0 0 0 0 0 ... #>  $ value  : num  0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 ... #>  $ Legend : chr  \"model\" \"model\" \"model\" \"model\" ... # }"},{"path":"https://sizespectrum.org/mizer/reference/plotM2.html","id":null,"dir":"Reference","previous_headings":"","what":"Alias for plotPredMort() — plotM2","title":"Alias for plotPredMort() — plotM2","text":"alias provided backward compatibility mizer version <= 1.0","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotM2.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Alias for plotPredMort() — plotM2","text":"","code":"plotM2(   object,   species = NULL,   time_range,   all.sizes = FALSE,   highlight = NULL,   return_data = FALSE,   ... )"},{"path":"https://sizespectrum.org/mizer/reference/plotM2.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Alias for plotPredMort() — plotM2","text":"object object class MizerSim MizerParams. species species selected. Optional. default target species selected. vector species names, numeric vector species indices, logical vector indicating species whether selected (TRUE) . time_range time range (either vector values, vector min max time, single value) average abundances . Default final time step. Ignored called MizerParams object. .sizes TRUE, predation mortality plotted also sizes outside species' size range. Default FALSE. highlight Name vector names species highlighted. return_data boolean value determines whether formatted data used plot returned instead plot . Default value FALSE ... arguments (currently unused)","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotM2.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Alias for plotPredMort() — plotM2","text":"ggplot2 object, unless return_data = TRUE, case data frame three variables 'w', 'value', 'Species' returned.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/plotM2.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Alias for plotPredMort() — plotM2","text":"","code":"# \\donttest{ params <-  NS_params sim <- project(params, effort=1, t_max=20, t_save = 2, progress_bar = FALSE) plotPredMort(sim)  plotPredMort(sim, time_range = 10:20)   # Returning the data frame fr <- plotPredMort(sim, return_data = TRUE) str(fr) #> 'data.frame':\t934 obs. of  3 variables: #>  $ w      : num  0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 ... #>  $ value  : num  2.67 1.11 3.87 4.24 3.4 ... #>  $ Species: chr  \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... # }"},{"path":"https://sizespectrum.org/mizer/reference/plotMizerSim.html","id":null,"dir":"Reference","previous_headings":"","what":"Summary plot for MizerSim objects — plot,MizerSim,missing-method","title":"Summary plot for MizerSim objects — plot,MizerSim,missing-method","text":"running projection, produces 5 plots window: feeding level, abundance spectra, predation mortality fishing mortality species size; biomass species time. method just uses plotting functions puts one window.","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotMizerSim.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Summary plot for MizerSim objects — plot,MizerSim,missing-method","text":"","code":"# S4 method for class 'MizerSim,missing' plot(x, y, ...)"},{"path":"https://sizespectrum.org/mizer/reference/plotMizerSim.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Summary plot for MizerSim objects — plot,MizerSim,missing-method","text":"x object class MizerSim y used ... additional arguments see documentation plotBiomass(), plotFeedingLevel(),plotSpectra(),plotPredMort() plotFMort().","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotMizerSim.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Summary plot for MizerSim objects — plot,MizerSim,missing-method","text":"viewport object","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/plotMizerSim.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Summary plot for MizerSim objects — plot,MizerSim,missing-method","text":"","code":"# \\donttest{ params <-  NS_params sim <- project(params, effort=1, t_max=20, t_save = 2, progress_bar = FALSE) plot(sim)  # }"},{"path":"https://sizespectrum.org/mizer/reference/plotPredMort.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot predation mortality rate of each species against size — plotPredMort","title":"Plot predation mortality rate of each species against size — plotPredMort","text":"running projection, plot predation mortality rate species size. mortality rate averaged specified time range (single value time range can used plot single time step).","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotPredMort.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot predation mortality rate of each species against size — plotPredMort","text":"","code":"plotPredMort(   object,   species = NULL,   time_range,   all.sizes = FALSE,   highlight = NULL,   return_data = FALSE,   ... )  plotlyPredMort(object, species = NULL, time_range, highlight = NULL, ...)"},{"path":"https://sizespectrum.org/mizer/reference/plotPredMort.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot predation mortality rate of each species against size — plotPredMort","text":"object object class MizerSim MizerParams. species species selected. Optional. default target species selected. vector species names, numeric vector species indices, logical vector indicating species whether selected (TRUE) . time_range time range (either vector values, vector min max time, single value) average abundances . Default final time step. Ignored called MizerParams object. .sizes TRUE, predation mortality plotted also sizes outside species' size range. Default FALSE. highlight Name vector names species highlighted. return_data boolean value determines whether formatted data used plot returned instead plot . Default value FALSE ... arguments (currently unused)","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotPredMort.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot predation mortality rate of each species against size — plotPredMort","text":"ggplot2 object, unless return_data = TRUE, case data frame three variables 'w', 'value', 'Species' returned.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/plotPredMort.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot predation mortality rate of each species against size — plotPredMort","text":"","code":"# \\donttest{ params <-  NS_params sim <- project(params, effort=1, t_max=20, t_save = 2, progress_bar = FALSE) plotPredMort(sim)  plotPredMort(sim, time_range = 10:20)   # Returning the data frame fr <- plotPredMort(sim, return_data = TRUE) str(fr) #> 'data.frame':\t934 obs. of  3 variables: #>  $ w      : num  0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 ... #>  $ value  : num  2.67 1.11 3.87 4.24 3.4 ... #>  $ Species: chr  \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... # }"},{"path":"https://sizespectrum.org/mizer/reference/plotSpectra.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot the abundance spectra — plotSpectra","title":"Plot the abundance spectra — plotSpectra","text":"Plots number density multiplied power weight, power specified power argument.","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotSpectra.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot the abundance spectra — plotSpectra","text":"","code":"plotSpectra(   object,   species = NULL,   time_range,   geometric_mean = FALSE,   wlim = c(NA, NA),   ylim = c(NA, NA),   power = 1,   biomass = TRUE,   total = FALSE,   resource = TRUE,   background = TRUE,   highlight = NULL,   return_data = FALSE,   ... )  plotlySpectra(   object,   species = NULL,   time_range,   geometric_mean = FALSE,   wlim = c(NA, NA),   ylim = c(NA, NA),   power = 1,   biomass = TRUE,   total = FALSE,   resource = TRUE,   background = TRUE,   highlight = NULL,   ... )"},{"path":"https://sizespectrum.org/mizer/reference/plotSpectra.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot the abundance spectra — plotSpectra","text":"object object class MizerSim MizerParams. species species selected. Optional. default target species selected. vector species names, numeric vector species indices, logical vector indicating species whether selected (TRUE) . time_range time range (either vector values, vector min max time, single value) average abundances . Default final time step. Ignored called MizerParams object. geometric_mean TRUE average abundances time range geometric mean instead default arithmetic mean. wlim numeric vector length two providing lower upper limits w axis. Use NA refer existing minimum maximum. Data filtered range axis limits set accordingly. ylim numeric vector length two providing lower upper limits y axis. Use NA refer existing minimum maximum. values 1e-20 always cut . Data filtered range axis limits set accordingly. power abundance plotted number density times weight raised power. default power = 1 gives biomass density, whereas power = 2 gives biomass density respect logarithmic size bins. biomass used power argument missing. biomass = TRUE equivalent power=1 biomass = FALSE equivalent power=0 total boolean value determines whether total species system plotted well. Note even plot shows selection species, total including species. Default FALSE. resource boolean value determines whether resource included. Default TRUE. background boolean value determines whether background species included. Ignored model contain background species. Default TRUE. highlight Name vector names species highlighted. return_data boolean value determines whether formatted data used plot returned instead plot . Default value FALSE ... arguments (currently unused)","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotSpectra.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot the abundance spectra — plotSpectra","text":"ggplot2 object, unless return_data = TRUE, case data frame four variables 'w', 'value', 'Species', 'Legend' returned.","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotSpectra.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Plot the abundance spectra — plotSpectra","text":"called MizerSim object, abundance averaged specified time range (single value time range can used plot single time step). called MizerParams object initial abundance plotted.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/plotSpectra.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot the abundance spectra — plotSpectra","text":"","code":"# \\donttest{ params <-  NS_params sim <- project(params, effort=1, t_max=20, t_save = 2, progress_bar = FALSE) plotSpectra(sim)  plotSpectra(sim, wlim = c(1e-6, NA))  plotSpectra(sim, time_range = 10:20)  plotSpectra(sim, time_range = 10:20, power = 0)  plotSpectra(sim, species = c(\"Cod\", \"Herring\"), power = 1)   # Returning the data frame fr <- plotSpectra(sim, return_data = TRUE) str(fr) #> 'data.frame':\t1024 obs. of  4 variables: #>  $ w      : num  0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 ... #>  $ value  : num  1.83e+10 6.92e+09 1.30e+11 1.46e+10 1.69e+08 ... #>  $ Species: chr  \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>  $ Legend : chr  \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... # }"},{"path":"https://sizespectrum.org/mizer/reference/plotYield.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot the total yield of species through time — plotYield","title":"Plot the total yield of species through time — plotYield","text":"running projection, total yield species across fishing gears can plotted time. yield obtained getYield().","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotYield.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot the total yield of species through time — plotYield","text":"","code":"plotYield(   sim,   sim2,   species = NULL,   total = FALSE,   log = TRUE,   highlight = NULL,   return_data = FALSE,   ... )  plotlyYield(   sim,   sim2,   species = NULL,   total = FALSE,   log = TRUE,   highlight = NULL,   ... )"},{"path":"https://sizespectrum.org/mizer/reference/plotYield.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot the total yield of species through time — plotYield","text":"sim object class MizerSim sim2 optional second object class MizerSim. provided yields shown plot bolder lines. species species selected. Optional. default target species selected. vector species names, numeric vector species indices, logical vector indicating species whether selected (TRUE) . total boolean value determines whether total species system plotted well. Note even plot shows selection species, total including species. Default FALSE. log Boolean whether yield plotted logarithmic axis. Defaults true. highlight Name vector names species highlighted. return_data boolean value determines whether formatted data used plot returned instead plot . Default value FALSE ... arguments (currently unused)","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotYield.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot the total yield of species through time — plotYield","text":"ggplot2 object, unless return_data = TRUE, case data frame three variables 'Year', 'Yield', 'Species' returned.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/plotYield.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot the total yield of species through time — plotYield","text":"","code":"# \\donttest{ params <- NS_params sim <- project(params, effort = 1, t_max = 20, t_save = 0.2, progress_bar = FALSE) plotYield(sim)  plotYield(sim, species = c(\"Cod\", \"Herring\"), total = TRUE)   # Comparing with yield from twice the effort sim2 <- project(params, effort=2, t_max=20, t_save = 0.2, progress_bar = FALSE) plotYield(sim, sim2, species = c(\"Cod\", \"Herring\"), log = FALSE)   # Returning the data frame fr <- plotYield(sim, return_data = TRUE) str(fr) #> 'data.frame':\t1212 obs. of  3 variables: #>  $ Year   : num  0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 ... #>  $ Yield  : num  2.21e+11 1.86e+11 1.60e+11 1.42e+11 1.30e+11 ... #>  $ Species: Factor w/ 12 levels \"Sprat\",\"Sandeel\",..: 1 1 1 1 1 1 1 1 1 1 ... # }"},{"path":"https://sizespectrum.org/mizer/reference/plotYieldGear.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot the total yield of each species by gear through time — plotYieldGear","title":"Plot the total yield of each species by gear through time — plotYieldGear","text":"running projection, total yield species fishing gear can plotted time.","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotYieldGear.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot the total yield of each species by gear through time — plotYieldGear","text":"","code":"plotYieldGear(   sim,   species = NULL,   gears = NULL,   total = FALSE,   highlight = NULL,   return_data = FALSE,   ... )  plotlyYieldGear(sim, species = NULL, total = FALSE, highlight = NULL, ...)"},{"path":"https://sizespectrum.org/mizer/reference/plotYieldGear.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot the total yield of each species by gear through time — plotYieldGear","text":"sim object class MizerSim species species selected. Optional. default target species selected. vector species names, numeric vector species indices, logical vector indicating species whether selected (TRUE) . gears vector gear names included plot. Default gears. total boolean value determines whether total species system plotted well. Note even plot shows selection species, total including species. Default FALSE. highlight Name vector names species highlighted. return_data boolean value determines whether formatted data used plot returned instead plot . Default value FALSE ... arguments (currently unused)","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotYieldGear.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot the total yield of each species by gear through time — plotYieldGear","text":"ggplot2 object, unless return_data = TRUE, case data frame four variables 'Year', 'Yield', 'Species' 'Gear' returned.","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotYieldGear.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Plot the total yield of each species by gear through time — plotYieldGear","text":"plot pretty easy hand. just gets biomass using getYieldGear() method plots using ggplot2 package. can fiddle colours linetypes etc. Just look source code details.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/plotYieldGear.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot the total yield of each species by gear through time — plotYieldGear","text":"","code":"# \\donttest{ params <-  NS_params sim <- project(params, effort=1, t_max=20, t_save = 0.2, progress_bar = FALSE) plotYieldGear(sim)  plotYieldGear(sim, species = c(\"Cod\", \"Herring\"), total = TRUE)   # Returning the data frame fr <- plotYieldGear(sim, return_data = TRUE) str(fr) #> 'data.frame':\t1212 obs. of  4 variables: #>  $ Year   : num  0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 ... #>  $ Yield  : num  2.21e+11 1.86e+11 1.60e+11 1.42e+11 1.30e+11 ... #>  $ Species: Factor w/ 12 levels \"Sprat\",\"Sandeel\",..: 1 1 1 1 1 1 1 1 1 1 ... #>  $ Gear   : Factor w/ 4 levels \"Industrial\",\"Pelagic\",..: 1 1 1 1 1 1 1 1 1 1 ... # }"},{"path":"https://sizespectrum.org/mizer/reference/plotYieldObservedVsModel.html","id":null,"dir":"Reference","previous_headings":"","what":"Plotting observed vs. model yields — plotYieldObservedVsModel","title":"Plotting observed vs. model yields — plotYieldObservedVsModel","text":"yield observations available least species via yield_observed column species parameter data frame, function plots yield species model observed yields. called MizerSim object, plot use model yields predicted final time step simulation.","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotYieldObservedVsModel.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plotting observed vs. model yields — plotYieldObservedVsModel","text":"","code":"plotYieldObservedVsModel(   object,   species = NULL,   ratio = FALSE,   log_scale = TRUE,   return_data = FALSE,   labels = TRUE,   show_unobserved = FALSE )  plotlyYieldObservedVsModel(   object,   species = NULL,   ratio = FALSE,   log_scale = TRUE,   return_data = FALSE,   show_unobserved = FALSE )"},{"path":"https://sizespectrum.org/mizer/reference/plotYieldObservedVsModel.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plotting observed vs. model yields — plotYieldObservedVsModel","text":"object object class MizerParams MizerSim. species species included. Optional. default observed yields included. vector species names, numeric vector species indices, logical vector indicating species whether included (TRUE) . ratio Whether plot model yield vs. observed yield (FALSE) ratio model : observed yield (TRUE). Default FALSE. log_scale Whether plot log10 scale (TRUE) (FALSE). non-ratio plot applies axes, ratio plot x-axis log10 scale. Default TRUE. return_data Whether return data frame plot (TRUE) (FALSE). Default FALSE. labels Whether show text labels species (TRUE) (FALSE). Default TRUE. show_unobserved Whether include also species yield observation available. TRUE, species shown observed yield equal model yield.","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotYieldObservedVsModel.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plotting observed vs. model yields — plotYieldObservedVsModel","text":"ggplot2 object plot model yield species compared observed yield. return_data = TRUE, data frame used create plot returned instead plot.","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotYieldObservedVsModel.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Plotting observed vs. model yields — plotYieldObservedVsModel","text":"can use function need added yield_observed column model gives observed yield grams per year.  species observed yield, set value yield_observed column 0 NA. total relative error shown caption plot, calculated $$TRE = \\sum_i|1-\\rm{ratio_i}|$$ \\(\\rm{ratio_i}\\) ratio model yield / observed yield species .","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotYieldObservedVsModel.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plotting observed vs. model yields — plotYieldObservedVsModel","text":"","code":"# create an example params <- NS_params species_params(params)$yield_observed <-     c(0.8, 61, 12, 35, 1.6, NA, 10, 7.6, 135, 60, 30, NA) params <- calibrateYield(params)  # Plot with default options plotYieldObservedVsModel(params) #> The following species are not being fished in your model and will not be included in the plot: Sprat, Sandeel, N.pout.   # Plot including also species without observations plotYieldObservedVsModel(params, show_unobserved = TRUE) #> The following species are not being fished in your model and will not be included in the plot: Sprat, Sandeel, N.pout.   # Show the ratio instead plotYieldObservedVsModel(params, ratio = TRUE) #> The following species are not being fished in your model and will not be included in the plot: Sprat, Sandeel, N.pout."},{"path":"https://sizespectrum.org/mizer/reference/plotting_functions.html","id":null,"dir":"Reference","previous_headings":"","what":"Description of the plotting functions — plotting_functions","title":"Description of the plotting functions — plotting_functions","text":"Mizer provides range plotting functions visualising results running simulation, stored MizerSim object, initial state stored MizerParams object. Every plotting function exists two versions, plotSomething plotlySomething. plotly version interactive suitable inclusion documents.","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotting_functions.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Description of the plotting functions — plotting_functions","text":"table shows available plotting functions. functions use ggplot2 package return plot ggplot object. means can manipulate plot creation using ggplot grammar graphics. corresponding function names plot replaced plotly produce interactive plots help plotly package. plot functions take data MizerSim object, make plots representing data single time can also take data initial values MizerParams object. plots show results species, line colour line type species specified linecolour linetype slots MizerParams object. either taken default palette hard-coded emptyParams() specified user species parameters dataframe used set MizerParams object. linecolour linetype slots hold named vectors, named species. can overwritten user time. plots allow user select show subset species, specified vector species argument plot function. ordering species legend ordering species parameter data frame.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/plotting_functions.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Description of the plotting functions — plotting_functions","text":"","code":"# \\donttest{ sim <- NS_sim  # Some example plots plotFeedingLevel(sim)   # Plotting only a subset of species plotFeedingLevel(sim, species = c(\"Cod\", \"Herring\"))   # Specifying new colours and linetypes for some species sim@params@linetype[\"Cod\"] <- \"dashed\" sim@params@linecolour[\"Cod\"] <- \"red\" plotFeedingLevel(sim, species = c(\"Cod\", \"Herring\"))   # Manipulating the plot library(ggplot2) p <- plotFeedingLevel(sim) p <- p + geom_hline(aes(yintercept = 0.7)) p <- p + theme_bw() p  # }"},{"path":"https://sizespectrum.org/mizer/reference/power_law_pred_kernel.html","id":null,"dir":"Reference","previous_headings":"","what":"Power-law predation kernel — power_law_pred_kernel","title":"Power-law predation kernel — power_law_pred_kernel","text":"predation kernel power-law, sigmoidal cut-offs large small predator/prey mass ratios.","code":""},{"path":"https://sizespectrum.org/mizer/reference/power_law_pred_kernel.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Power-law predation kernel — power_law_pred_kernel","text":"","code":"power_law_pred_kernel(   ppmr,   kernel_exp,   kernel_l_l,   kernel_u_l,   kernel_l_r,   kernel_u_r )"},{"path":"https://sizespectrum.org/mizer/reference/power_law_pred_kernel.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Power-law predation kernel — power_law_pred_kernel","text":"ppmr vector predator/prey size ratios evaluate predation kernel. kernel_exp exponent power law kernel_l_l location left, rising sigmoid kernel_u_l shape left, rising sigmoid kernel_l_r location right, falling sigmoid kernel_u_r shape right, falling sigmoid","code":""},{"path":"https://sizespectrum.org/mizer/reference/power_law_pred_kernel.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Power-law predation kernel — power_law_pred_kernel","text":"vector giving value predation kernel predator/prey mass ratios ppmr argument.","code":""},{"path":"https://sizespectrum.org/mizer/reference/power_law_pred_kernel.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Power-law predation kernel — power_law_pred_kernel","text":"return value calculated ppmr^kernel_exp /   (1 + (exp(kernel_l_l) / ppmr)^kernel_u_l) /   (1 + (ppmr / exp(kernel_l_r))^kernel_u_r) parameters need given columns species parameter dataframe.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/power_law_pred_kernel.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Power-law predation kernel — power_law_pred_kernel","text":"","code":"params <- NS_params # Set all required paramters before changing kernel type species_params(params)[\"Cod\", \"kernel_exp\"] <- -0.8 species_params(params)[\"Cod\", \"kernel_l_l\"] <- 4.6 species_params(params)[\"Cod\", \"kernel_u_l\"] <- 3 species_params(params)[\"Cod\", \"kernel_l_r\"] <- 12.5 species_params(params)[\"Cod\", \"kernel_u_r\"] <- 4.3 species_params(params)[\"Cod\", \"kernel_type\"] <- \"power_law\" plot(w_full(params), getPredKernel(params)[\"Cod\", 10, ], type=\"l\", log=\"x\")"},{"path":"https://sizespectrum.org/mizer/reference/project.html","id":null,"dir":"Reference","previous_headings":"","what":"Project size spectrum forward in time — project","title":"Project size spectrum forward in time — project","text":"Runs size spectrum model simulation. function returns object type MizerSim can explored range summary_functions, indicator_functions plotting_functions.","code":""},{"path":"https://sizespectrum.org/mizer/reference/project.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Project size spectrum forward in time — project","text":"","code":"project(   object,   effort,   t_max = 100,   dt = 0.1,   t_save = 1,   t_start = 0,   initial_n,   initial_n_pp,   append = TRUE,   progress_bar = TRUE,   ... )"},{"path":"https://sizespectrum.org/mizer/reference/project.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Project size spectrum forward in time — project","text":"object Either MizerParams object MizerSim object (contains MizerParams object). effort effort fishing gear time. See notes . t_max number years projection runs . default value 100. argument ignored array used effort argument. See notes . dt Time step solver. default value 0.1. t_save frequency output stored. default value 1. argument ignored array used effort argument. See notes . t_start year start simulation. simulation cover period t_start t_start + t_max. Defaults 0. Ignored array used effort argument MizerSim object argument. initial_n initial abundances species. Instead using argument set initialN(params) desired value. initial_n_pp initial abundances resource. Instead using argument set initialNResource(params) desired value. append boolean determines whether new simulation results appended previous ones. relevant object MizerSim object. Default = TRUE. progress_bar Either boolean value determine whether progress bar shown console, shiny Progress object implement progress bar shiny app. ... arguments passed rate functions.","code":""},{"path":"https://sizespectrum.org/mizer/reference/project.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Project size spectrum forward in time — project","text":"object class MizerSim.","code":""},{"path":"https://sizespectrum.org/mizer/reference/project.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"Project size spectrum forward in time — project","text":"effort argument specifies level fishing effort simulation. supplied, initial effort stored params object used. effort can specified four different ways: single numeric value. specifies effort fishing gears constant time (.e. gears constant effort). named vector whose names match existing gear names. values vector specify constant fishing effort fishing gears, .e. effort constant time. effort gears included effort vector set 0. numerical vector length number fishing gears. values vector specify constant fishing effort fishing gears, ordering assumed MizerParams object. numerical array dimensions time x gear. specifies fishing effort gear time step.  first dimension, time, must named numerically increasing. second dimension array must named names must correspond gear names MizerParams object. value effort particular time used interval time next time array. effort specified array smallest time array used initial time simulation. Otherwise initial time set final time previous simulation object MizerSim object t_start otherwise. Also, effort array t_max t_save arguments ignored simulation times taken effort array. object argument class MizerSim initial values simulation taken final values MizerSim object corresponding arguments function ignored.","code":""},{"path":"https://sizespectrum.org/mizer/reference/project.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Project size spectrum forward in time — project","text":"","code":"# \\donttest{ params <-  NS_params # With constant fishing effort for all gears for 20 time steps sim <- project(params, t_max = 20, effort = 0.5) # With constant fishing effort which is different for each gear effort <- c(Industrial = 0, Pelagic = 1, Beam = 0.5, Otter = 0.5) sim <- project(params, t_max = 20, effort = effort) # With fishing effort that varies through time for each gear gear_names <- c(\"Industrial\",\"Pelagic\",\"Beam\",\"Otter\") times <- seq(from = 1, to = 10, by = 1) effort_array <- array(NA, dim = c(length(times), length(gear_names)),     dimnames = list(time = times, gear = gear_names)) effort_array[,\"Industrial\"] <- 0.5 effort_array[,\"Pelagic\"] <- seq(from = 1, to = 2, length = length(times)) effort_array[,\"Beam\"] <- seq(from = 1, to = 0, length = length(times)) effort_array[,\"Otter\"] <- seq(from = 1, to = 0.5, length = length(times)) sim <- project(params, effort = effort_array) # }"},{"path":"https://sizespectrum.org/mizer/reference/projectToSteady.html","id":null,"dir":"Reference","previous_headings":"","what":"Project to steady state — projectToSteady","title":"Project to steady state — projectToSteady","text":"Run full dynamics, project(), stop change slowed sufficiently, sense distance states successive time steps less tol. determine distance calculated.","code":""},{"path":"https://sizespectrum.org/mizer/reference/projectToSteady.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Project to steady state — projectToSteady","text":"","code":"projectToSteady(   params,   effort = params@initial_effort,   distance_func = distanceSSLogN,   t_per = 1.5,   t_max = 100,   dt = 0.1,   tol = 0.1 * t_per,   return_sim = FALSE,   progress_bar = TRUE,   ... )"},{"path":"https://sizespectrum.org/mizer/reference/projectToSteady.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Project to steady state — projectToSteady","text":"params MizerParams object effort fishing effort used throughout simulation. must vector list one named entry per fishing gear. distance_func function called every t_per years previous new state return number sense measures distance states. default uses function distanceSSLogN() can use model distance function. t_per simulation broken shorter runs t_per years, check convergence. Default value 1.5. chosen odd multiple timestep dt order able detect period 2 cycles. t_max maximum number years run simulation. Default 100. dt time step use project(). tol simulation stops relative change egg production RDI t_per years less tol every species. return_sim TRUE, function returns MizerSim object holding result simulation run, saved intervals t_per. FALSE (default) function returns MizerParams object \"initial\" slots set steady state. progress_bar shiny progress object implement progress bar shiny app. Default FALSE. ... arguments passed distance function.","code":""},{"path":"https://sizespectrum.org/mizer/reference/projectToSteady.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Project to steady state — projectToSteady","text":"MizerParams MizerSim object","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/project_simple.html","id":null,"dir":"Reference","previous_headings":"","what":"Project abundances by a given number of time steps into the future — project_simple","title":"Project abundances by a given number of time steps into the future — project_simple","text":"internal function used user-facing project() function. potential interest mizer extension authors.","code":""},{"path":"https://sizespectrum.org/mizer/reference/project_simple.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Project abundances by a given number of time steps into the future — project_simple","text":"","code":"project_simple(   params,   n = params@initial_n,   n_pp = params@initial_n_pp,   n_other = params@initial_n_other,   effort = params@initial_effort,   t = 0,   dt = 0.1,   steps,   resource_dynamics_fn = get(params@resource_dynamics),   other_dynamics_fns = lapply(params@other_dynamics, get),   rates_fns = lapply(params@rates_funcs, get),   ... )"},{"path":"https://sizespectrum.org/mizer/reference/project_simple.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Project abundances by a given number of time steps into the future — project_simple","text":"params MizerParams object. n array (species x size) number density start simulation. n_pp vector (size) resource number density start simulation. n_other named list abundances components start simulation. effort fishing effort used throughout simulation. must vector list one named entry per fishing gear. t Time start simulation. dt Size time step. steps number time steps project. resource_dynamics_fn function resource dynamics. See Details. other_dynamics_fns List functions dynamics components. See Details. rates_fns List functions calculating rates. See Details. ... arguments passed rate functions.","code":""},{"path":"https://sizespectrum.org/mizer/reference/project_simple.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Project abundances by a given number of time steps into the future — project_simple","text":"List final values n, n_pp n_other, rates.","code":""},{"path":"https://sizespectrum.org/mizer/reference/project_simple.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Project abundances by a given number of time steps into the future — project_simple","text":"function check arguments meant fast possible allow used loop. example, called project() every saved value. function also save intermediate results returns result time t + dt * steps. time uses constant fishing effort effort. functional arguments can calculated slots params object   reason function shave 20 microseconds running time, pays function called hundreds times row. function also used steady(). calls project_simple() steady() function checks whether values still changing significantly, can stop steady state approached. Mizer extension packages might similar need run simulation repeatedly short periods run code . code may want use values rates final time step, included returned list.","code":"resource_dynamics_fn <- get(params@resource_dynamics) other_dynamics_fns <- lapply(params@other_dynamics, get) rates_fns <- lapply(params@rates_funcs, get)"},{"path":"https://sizespectrum.org/mizer/reference/reexports.html","id":null,"dir":"Reference","previous_headings":"","what":"Objects exported from other packages — reexports","title":"Objects exported from other packages — reexports","text":"objects imported packages. Follow links see documentation. reshape2 melt","code":""},{"path":"https://sizespectrum.org/mizer/reference/removeSpecies.html","id":null,"dir":"Reference","previous_headings":"","what":"Remove species — removeSpecies","title":"Remove species — removeSpecies","text":"function simply removes entries MizerParams object refer selected species. recalculate steady state remaining species retune reproductive efficiency.","code":""},{"path":"https://sizespectrum.org/mizer/reference/removeSpecies.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Remove species — removeSpecies","text":"","code":"removeSpecies(params, species)"},{"path":"https://sizespectrum.org/mizer/reference/removeSpecies.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Remove species — removeSpecies","text":"params mizer params object original system. species species removed. vector species names, numeric vector species indices, logical vector indicating species whether removed (TRUE) .","code":""},{"path":"https://sizespectrum.org/mizer/reference/removeSpecies.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Remove species — removeSpecies","text":"object type MizerParams","code":""},{"path":"https://sizespectrum.org/mizer/reference/removeSpecies.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Remove species — removeSpecies","text":"","code":"params <- NS_params species_params(params)$species #>  [1] \"Sprat\"   \"Sandeel\" \"N.pout\"  \"Herring\" \"Dab\"     \"Whiting\" \"Sole\"    #>  [8] \"Gurnard\" \"Plaice\"  \"Haddock\" \"Cod\"     \"Saithe\"  params <- removeSpecies(params, c(\"Cod\", \"Haddock\")) species_params(params)$species #>  [1] \"Sprat\"   \"Sandeel\" \"N.pout\"  \"Herring\" \"Dab\"     \"Whiting\" \"Sole\"    #>  [8] \"Gurnard\" \"Plaice\"  \"Saithe\""},{"path":"https://sizespectrum.org/mizer/reference/renameGear.html","id":null,"dir":"Reference","previous_headings":"","what":"Rename gears — renameGear","title":"Rename gears — renameGear","text":"Changes names gears MizerParams object. involves example changing gear dimension names selectivity catchability arrays appropriately.","code":""},{"path":"https://sizespectrum.org/mizer/reference/renameGear.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Rename gears — renameGear","text":"","code":"renameGear(params, replace)"},{"path":"https://sizespectrum.org/mizer/reference/renameGear.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Rename gears — renameGear","text":"params mizer params object replace named character vector, new names values, old names names.","code":""},{"path":"https://sizespectrum.org/mizer/reference/renameGear.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Rename gears — renameGear","text":"object type MizerParams","code":""},{"path":"https://sizespectrum.org/mizer/reference/renameGear.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Rename gears — renameGear","text":"","code":"replace <- c(Industrial = \"Trawl\", Otter = \"Beam_Trawl\") params <- renameGear(NS_params, replace) gear_params(params)$gear #>  [1] \"Trawl\"      \"Trawl\"      \"Trawl\"      \"Pelagic\"    \"Beam\"       #>  [6] \"Beam_Trawl\" \"Beam\"       \"Beam_Trawl\" \"Beam\"       \"Beam_Trawl\" #> [11] \"Beam_Trawl\" \"Beam_Trawl\""},{"path":"https://sizespectrum.org/mizer/reference/renameSpecies.html","id":null,"dir":"Reference","previous_headings":"","what":"Rename species — renameSpecies","title":"Rename species — renameSpecies","text":"Changes names species MizerParams object. involves example changing species dimension names rate arrays appropriately.","code":""},{"path":"https://sizespectrum.org/mizer/reference/renameSpecies.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Rename species — renameSpecies","text":"","code":"renameSpecies(params, replace)"},{"path":"https://sizespectrum.org/mizer/reference/renameSpecies.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Rename species — renameSpecies","text":"params mizer params object replace named character vector, new names values, old names names.","code":""},{"path":"https://sizespectrum.org/mizer/reference/renameSpecies.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Rename species — renameSpecies","text":"object type MizerParams","code":""},{"path":"https://sizespectrum.org/mizer/reference/renameSpecies.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Rename species — renameSpecies","text":"","code":"replace <- c(Cod = \"Kabeljau\", Haddock = \"Schellfisch\") params <- renameSpecies(NS_params, replace) species_params(params)$species #>  [1] \"Sprat\"       \"Sandeel\"     \"N.pout\"      \"Herring\"     \"Dab\"         #>  [6] \"Whiting\"     \"Sole\"        \"Gurnard\"     \"Plaice\"      \"Schellfisch\" #> [11] \"Kabeljau\"    \"Saithe\""},{"path":"https://sizespectrum.org/mizer/reference/resource_constant.html","id":null,"dir":"Reference","previous_headings":"","what":"Keep resource abundance constant — resource_constant","title":"Keep resource abundance constant — resource_constant","text":"set resource dynamics use function resource abundances kept constant time.","code":""},{"path":"https://sizespectrum.org/mizer/reference/resource_constant.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Keep resource abundance constant — resource_constant","text":"","code":"resource_constant(params, n_pp, ...)"},{"path":"https://sizespectrum.org/mizer/reference/resource_constant.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Keep resource abundance constant — resource_constant","text":"params MizerParams object n_pp vector resource abundance size ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/resource_constant.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Keep resource abundance constant — resource_constant","text":"Vector containing resource number density size class next timestep","code":""},{"path":"https://sizespectrum.org/mizer/reference/resource_constant.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Keep resource abundance constant — resource_constant","text":"set model keep resource constant time   replace params name variable holding MizerParams object.","code":"resource_dynamics(params) <- \"resource_constant\""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/resource_constant.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Keep resource abundance constant — resource_constant","text":"","code":"params <- NS_params resource_dynamics(params) <- \"resource_constant\""},{"path":"https://sizespectrum.org/mizer/reference/resource_logistic.html","id":null,"dir":"Reference","previous_headings":"","what":"Project resource using logistic model — resource_logistic","title":"Project resource using logistic model — resource_logistic","text":"set resource dynamics use function time evolution resource spectrum described logistic equation $$\\frac{\\partial N_R(w,t)}{\\partial t} = r_R(w) N_R(w)\\Big[ 1 - \\frac{N_R(w,t)}{c_R (w)} \\Big] - \\mu_R(w, t) N_R(w,t)$$","code":""},{"path":"https://sizespectrum.org/mizer/reference/resource_logistic.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Project resource using logistic model — resource_logistic","text":"","code":"resource_logistic(   params,   n,   n_pp,   n_other,   rates,   t,   dt,   resource_rate,   resource_capacity,   ... )  balance_resource_logistic(params, resource_rate, resource_capacity)"},{"path":"https://sizespectrum.org/mizer/reference/resource_logistic.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Project resource using logistic model — resource_logistic","text":"params MizerParams object n matrix species abundances (species x size) n_pp vector resource abundance size n_other list abundances components rates list rates returned mizerRates() t current time dt Time step resource_rate Resource replenishment rate resource_capacity Resource carrying capacity ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/resource_logistic.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Project resource using logistic model — resource_logistic","text":"Vector containing resource number density size class next timestep","code":""},{"path":"https://sizespectrum.org/mizer/reference/resource_logistic.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Project resource using logistic model — resource_logistic","text":"\\(r_R(w)\\) resource regeneration rate \\(c_R(w)\\) carrying capacity absence predation. parameters changed setResource(). mortality \\(\\mu_R(w, t)\\) due predation consumers calculate getResourceMort(). function uses analytic solution equation calculate resource abundance time t + dt abundances rates time t, keeping mortality fixed timestep. set model use logistic dynamics resource   replace params name variable holding MizerParams object. can course choose value 0 1 resource level. balance_resource_logistic() function called setResource() determine values resource parameters needed make replenishment rate size equal consumption rate size, calculated getResourceMort(). called one resource_rate resource_capacity return named list values .","code":"params <- setResource(params,                       resource_dynamics = \"resource_logistic\",                       resource_level = 0.5)"},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/resource_params.html","id":null,"dir":"Reference","previous_headings":"","what":"Resource parameters — resource_params","title":"Resource parameters — resource_params","text":"recommended way change resource dynamics parameters use setResource(). resource_params list contains values helpful setting actual size-dependent parameters setResource(). specified custom resource dynamics function requires additional parameters, also added resource_params list.","code":""},{"path":"https://sizespectrum.org/mizer/reference/resource_params.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Resource parameters — resource_params","text":"","code":"resource_params(params)  resource_params(params) <- value"},{"path":"https://sizespectrum.org/mizer/reference/resource_params.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Resource parameters — resource_params","text":"params MizerParams object value named list resource parameters.","code":""},{"path":"https://sizespectrum.org/mizer/reference/resource_params.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Resource parameters — resource_params","text":"named list resource parameters.","code":""},{"path":"https://sizespectrum.org/mizer/reference/resource_params.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Resource parameters — resource_params","text":"resource_params list least contain slots kappa, lambda, w_pp_cutoff n. resource parameter n exponent power-law form replenishment rate \\(r_R(w)\\): $$r_R(w) = r_R\\, w^{n-1}.$$ resource parameter lambda (\\(\\lambda\\)) exponent power-law form carrying capacity \\(c_R(w)\\) w_pp_cutoff cutoff value: $$c_R(w) = c_R w^{-\\lambda}$$ \\(w\\) less w_pp_cutoff zero larger sizes. resource parameter kappa (\\(\\kappa\\)) slightly different parameter resource dynamics. Instead parameter determined initial resource abundance model created: $$N_R(w) = \\kappa\\, w^{-\\lambda}$$ \\(w\\) less w_pp_cutoff zero larger sizes. Note initial resource abundance changed setResource() even change value kappa resource_params.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/resource_semichemostat.html","id":null,"dir":"Reference","previous_headings":"","what":"Project resource using semichemostat model — resource_semichemostat","title":"Project resource using semichemostat model — resource_semichemostat","text":"set resource dynamics use function time evolution resource spectrum described semi-chemostat equation $$\\frac{\\partial N_R(w,t)}{\\partial t} = r_R(w) \\Big[ c_R (w) - N_R(w,t) \\Big] - \\mu_R(w, t) N_R(w,t)$$","code":""},{"path":"https://sizespectrum.org/mizer/reference/resource_semichemostat.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Project resource using semichemostat model — resource_semichemostat","text":"","code":"resource_semichemostat(   params,   n,   n_pp,   n_other,   rates,   t,   dt,   resource_rate,   resource_capacity,   ... )  balance_resource_semichemostat(params, resource_rate, resource_capacity)"},{"path":"https://sizespectrum.org/mizer/reference/resource_semichemostat.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Project resource using semichemostat model — resource_semichemostat","text":"params MizerParams object n matrix species abundances (species x size) n_pp vector resource abundance size n_other list abundances components rates list rates returned mizerRates() t current time dt Time step resource_rate Resource replenishment rate resource_capacity Resource carrying capacity ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/resource_semichemostat.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Project resource using semichemostat model — resource_semichemostat","text":"Vector containing resource number density size class next timestep","code":""},{"path":"https://sizespectrum.org/mizer/reference/resource_semichemostat.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Project resource using semichemostat model — resource_semichemostat","text":"\\(r_R(w)\\) resource regeneration rate \\(c_R(w)\\) carrying capacity absence predation. parameters changed setResource(). mortality \\(\\mu_R(w, t)\\) due predation consumers calculate getResourceMort(). function uses analytic solution equation calculate resource abundance time t + dt abundances rates time t, keeping mortality fixed timestep. set model use semichemostat dynamics resource   replace params name variable holding MizerParams object. can course choose value 0 1 resource level. balance_resource_semichemostat() function called setResource() determine values resource parameters needed make replenishment rate size equal consumption rate size, calculated getResourceMort(). called one resource_rate resource_capacity return named list values .","code":"params <- setResource(params,                       resource_dynamics = \"resource_semichemostat\",                       resource_level = 0.5)"},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/saveParams.html","id":null,"dir":"Reference","previous_headings":"","what":"Save a MizerParams object to file, and restore it — saveParams","title":"Save a MizerParams object to file, and restore it — saveParams","text":"saveParams() saves MizerParams object file. can restored readParams().","code":""},{"path":"https://sizespectrum.org/mizer/reference/saveParams.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Save a MizerParams object to file, and restore it — saveParams","text":"","code":"saveParams(params, file)  readParams(file)"},{"path":"https://sizespectrum.org/mizer/reference/saveParams.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Save a MizerParams object to file, and restore it — saveParams","text":"params MizerParams object file name file connection MizerParams object saved read .","code":""},{"path":"https://sizespectrum.org/mizer/reference/saveParams.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Save a MizerParams object to file, and restore it — saveParams","text":"NULL invisibly","code":""},{"path":"https://sizespectrum.org/mizer/reference/saveParams.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Save a MizerParams object to file, and restore it — saveParams","text":"Issues warning model saving relies custom functions. saving model may want set metadata setMetadata().","code":""},{"path":"https://sizespectrum.org/mizer/reference/scaleModel.html","id":null,"dir":"Reference","previous_headings":"","what":"Change scale of the model — scaleModel","title":"Change scale of the model — scaleModel","text":"abundances mizer rates depend size area refer. given per square meter per square kilometer entire study area choice . function allows change scale model automatically changing abundances rates accordingly.","code":""},{"path":"https://sizespectrum.org/mizer/reference/scaleModel.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Change scale of the model — scaleModel","text":"","code":"scaleModel(params, factor)"},{"path":"https://sizespectrum.org/mizer/reference/scaleModel.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Change scale of the model — scaleModel","text":"params MizerParams object factor factor scale multiplied","code":""},{"path":"https://sizespectrum.org/mizer/reference/scaleModel.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Change scale of the model — scaleModel","text":"rescaled MizerParams object","code":""},{"path":"https://sizespectrum.org/mizer/reference/scaleModel.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Change scale of the model — scaleModel","text":"rescale model factor \\(c\\) function makes following rescalings params object: initial abundances rescaled \\(c\\). search volume rescaled \\(1/c\\). resource carrying capacity rescaled \\(c\\) maximum reproduction rate \\(R_{max}\\) rescaled \\(c\\). effect dynamics rescaled model identical unscaled model, sense matter whether one first calls scaleModel() runs simulation project() whether one first runs simulation rescales resulting abundances. Note use non-standard resource dynamics components may need rescale additional parameters appear dynamics. practice need use observations set scale model. biomass observations can use calibrateBiomass(), yearly yields can use calibrateYield().","code":""},{"path":"https://sizespectrum.org/mizer/reference/setBevertonHolt.html","id":null,"dir":"Reference","previous_headings":"","what":"Set Beverton-Holt reproduction without changing the steady state — setBevertonHolt","title":"Set Beverton-Holt reproduction without changing the steady state — setBevertonHolt","text":"Takes MizerParams object params arbitrary density dependence reproduction returns MizerParams object Beverton-Holt density-dependence way energy invested reproduction mature individuals leads reproduction rate required maintain given egg abundance. Hence tuned params object describe particular steady state, setting Beverton-Holt density dependence function leave exact steady state. specifying one parameters erepro, R_max reproduction_level pick desired reproduction curve. details parameters provided .","code":""},{"path":"https://sizespectrum.org/mizer/reference/setBevertonHolt.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Set Beverton-Holt reproduction without changing the steady state — setBevertonHolt","text":"","code":"setBevertonHolt(   params,   R_factor = deprecated(),   erepro,   R_max,   reproduction_level )"},{"path":"https://sizespectrum.org/mizer/reference/setBevertonHolt.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Set Beverton-Holt reproduction without changing the steady state — setBevertonHolt","text":"params MizerParams object R_factor Use reproduction_level = 1 / R_factor instead. erepro Reproductive efficiency species. See details. R_max Maximum reproduction rate. See details. reproduction_level Sets R_max reproduction rate initial state R_max * reproduction_level.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setBevertonHolt.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Set Beverton-Holt reproduction without changing the steady state — setBevertonHolt","text":"MizerParams object","code":""},{"path":"https://sizespectrum.org/mizer/reference/setBevertonHolt.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Set Beverton-Holt reproduction without changing the steady state — setBevertonHolt","text":"Beverton-Holt density dependence relation energy invested reproduction number eggs hatched determined two parameters: reproductive efficiency erepro maximum reproduction rate R_max. maximum imposed reproduction rate (\\(R_{max} = \\infty\\)) resulting density-independent reproduction rate \\(R_{di}\\) proportional total rate \\(E_R\\) energy invested reproduction, $$R_{di} = \\frac{\\rm{erepro}}{2 w_{min}} E_R,$$ proportionality factor given reproductive efficiency erepro divided egg size w_min convert energy egg number divided 2 account two sexes. Imposing finite maximum reproduction rate \\(R_{max}\\) leads non-linear relationship energy invested eggs hatched. density-dependent reproduction rate \\(R_{dd}\\) given $$R_{dd} = R_{di} \\frac{R_{max}}{R_{di} + R_{max}}.$$ (quantities equations species-specific dropped species index simplicity.) following plot illustrates Beverton-Holt density dependence reproduction rate two different choices parameters. plot shows given energy \\(E_R\\) invested reproduction can lead reproduction rate \\(R_{dd}\\) different choices parameters R_max erepro. R_max determines asymptote curve erepro initial slope. higher R_max coupled lower erepro (black curves) can give value lower R_max coupled higher erepro (blue curves). given initial state MizerParams object params one can calculate energy \\(E_R\\) invested reproduction mature individuals reproduction rate \\(R_{dd}\\) required keep egg abundance constant. two values determine location black dot graph. need one parameter select one curve family Beverton-Holt curves going point. parameter can erepro R_max. Instead R_max can alternatively specify reproduction_level ratio density-dependent reproduction rate \\(R_{dd}\\) maximal reproduction rate  \\(R_{max}\\). provide value reproduction parameter arguments, erepro set value current species parameter data frame. provide one reproduction parameters, can either vector one value species, named vector names determine species affected, single unnamed value used species. species given value NA remain unaffected. values R_max must larger \\(R_{dd}\\) can range Inf. smaller value requested warning issued value increased value required reproduction level 0.99. values reproduction_level must positive less 1. values erepro must large enough allow required reproduction rate. smaller value requested warning issued value increased smallest possible value. values erepro also smaller 1 physiologically sensible, enforced function. can seen graph , choosing lower value R_max higher value erepro means near steady state reproduction less sensitive change energy invested reproduction hence less sensitive changes spawning stock biomass energy income. result species also less sensitive fishing, leading higher F_MSY.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setBevertonHolt.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Set Beverton-Holt reproduction without changing the steady state — setBevertonHolt","text":"","code":"params <- NS_params species_params(params)$erepro #>  [1] 1 1 1 1 1 1 1 1 1 1 1 1 # Attempting to set the same erepro for all species params <- setBevertonHolt(params, erepro = 0.1) #> Warning: For the following species `erepro` has been increased to the smallest possible value: erepro[Gurnard] = 0.558; erepro[Plaice] = 0.921 t(species_params(params)[, c(\"erepro\", \"R_max\")]) #>               Sprat      Sandeel       N.pout      Herring          Dab #> erepro 1.000000e-01 1.000000e-01 1.000000e-01 1.000000e-01 1.000000e-01 #> R_max  8.071481e+11 4.112049e+11 3.472063e+13 1.197577e+12 1.167176e+10 #>            Whiting         Sole   Gurnard    Plaice      Haddock          Cod #> erepro 1.00000e-01 1.000000e-01 0.5582259 0.9212325 1.000000e-01          0.1 #> R_max  6.22081e+11 4.007876e+10       Inf       Inf 3.929056e+12 8280106764.0 #>              Saithe #> erepro 1.000000e-01 #> R_max  1.145835e+11 # Setting erepro for some species params <- setBevertonHolt(params, erepro = c(\"Gurnard\" = 0.6, \"Plaice\" = 0.95)) t(species_params(params)[, c(\"erepro\", \"R_max\")]) #>               Sprat      Sandeel       N.pout      Herring          Dab #> erepro 1.000000e-01 1.000000e-01 1.000000e-01 1.000000e-01 1.000000e-01 #> R_max  8.071481e+11 4.112049e+11 3.472063e+13 1.197577e+12 1.167176e+10 #>            Whiting         Sole      Gurnard       Plaice      Haddock #> erepro 1.00000e-01 1.000000e-01 6.000000e-01 9.500000e-01 1.000000e-01 #> R_max  6.22081e+11 4.007876e+10 1.047481e+13 1.082568e+15 3.929056e+12 #>                 Cod       Saithe #> erepro          0.1 1.000000e-01 #> R_max  8280106764.0 1.145835e+11 # Setting R_max R_max <- 1e17 * species_params(params)$w_max^-1 params <- setBevertonHolt(NS_params, R_max = R_max) #> Warning: The following species require an unrealistic value greater than 1 for `erepro`: Plaice t(species_params(params)[, c(\"erepro\", \"R_max\")]) #>               Sprat      Sandeel       N.pout      Herring          Dab #> erepro 9.274305e-03 1.297184e-04 7.257409e-02 8.045063e-03 4.224791e-03 #> R_max  3.030303e+15 2.777778e+15 1.000000e+15 2.994012e+14 3.086420e+14 #>             Whiting         Sole      Gurnard       Plaice      Haddock #> erepro 1.292557e-02 3.571380e-03 5.609587e-01 3.773957e+01 6.020565e-02 #> R_max  8.389262e+13 1.154734e+14 1.497006e+14 3.360215e+13 2.316692e+13 #>                 Cod       Saithe #> erepro 6.375069e-05 2.433424e-03 #> R_max  2.509328e+12 2.521521e+12 # Setting reproduction_level params <- setBevertonHolt(params, reproduction_level = 0.3) #> Warning: The following species require an unrealistic value greater than 1 for `erepro`: Plaice t(species_params(params)[, c(\"erepro\", \"R_max\")]) #>               Sprat      Sandeel       N.pout      Herring          Dab #> erepro 1.324581e-02 1.852847e-04 1.026645e-01 1.145066e-02 6.035197e-03 #> R_max  2.441029e+12 1.368905e+12 3.256200e+13 3.671952e+12 3.726224e+10 #>             Whiting         Sole      Gurnard       Plaice      Haddock #> erepro 1.834577e-02 5.100263e-03 7.974655e-01 1.316046e+00 7.954325e-02 #> R_max  1.807310e+12 1.288262e+11 2.430980e+12 1.092730e+14 5.804489e+12 #>                 Cod       Saithe #> erepro 9.077210e-05 3.322021e-03 #> R_max  2.758282e+10 3.730633e+11"},{"path":"https://sizespectrum.org/mizer/reference/setColours.html","id":null,"dir":"Reference","previous_headings":"","what":"Set line colours and line types to be used in mizer plots — setColours","title":"Set line colours and line types to be used in mizer plots — setColours","text":"Used setting colour type lines representing \"Total\", \"Resource\", \"Fishing\", \"Background\", \"External\" possibly categories plots.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setColours.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Set line colours and line types to be used in mizer plots — setColours","text":"","code":"setColours(params, colours)  getColours(params)  setLinetypes(params, linetypes)  getLinetypes(params)"},{"path":"https://sizespectrum.org/mizer/reference/setColours.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Set line colours and line types to be used in mizer plots — setColours","text":"params MizerParams object colours named list named vector line colours. linetypes named list named vector linetypes.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setColours.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Set line colours and line types to be used in mizer plots — setColours","text":"setColours: MizerParams object updated line colours getColours(): named vector colours setLinetypes(): MizerParams object updated linetypes getLinetypes(): named vector linetypes","code":""},{"path":"https://sizespectrum.org/mizer/reference/setColours.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Set line colours and line types to be used in mizer plots — setColours","text":"Colours names already colour set overwritten colour specify. Colours names yet colour appended list colours. use setting colours linetypes species, determined setting linecolour linetype variables species parameter data frame. can use colours ggplot2 plots adding scale_colour_manual(values = getColours(params)) plot. Similarly can use linetypes scale_linetype_manual(values = getLinetypes(params)).","code":""},{"path":"https://sizespectrum.org/mizer/reference/setColours.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Set line colours and line types to be used in mizer plots — setColours","text":"","code":"params <- setColours(NS_params, list(\"Resource\" = \"red\",\"Total\" = \"#0000ff\")) params <- setLinetypes(NS_params, list(\"Total\" = \"dotted\")) # Set colours and linetypes for species species_params(params)[\"Cod\", \"linecolour\"] <- \"black\" species_params(params)[\"Cod\", \"linetype\"] <- \"dashed\" plotSpectra(params, total = TRUE)  getColours(params) #>      Sprat    Sandeel     N.pout    Herring        Dab    Whiting       Sole  #>  \"#815f00\"  \"#6237e2\"  \"#8da600\"  \"#de53ff\"  \"#0e4300\"  \"#430079\"  \"#6caa72\"  #>    Gurnard     Plaice    Haddock        Cod     Saithe      Total   Resource  #>  \"#ee0053\"  \"#007957\"  \"#b42979\"    \"black\"  \"#a08dfb\"    \"black\"    \"green\"  #> Background    Fishing   External  #>     \"grey\"      \"red\"     \"grey\"  getLinetypes(params) #>      Sprat    Sandeel     N.pout    Herring        Dab    Whiting       Sole  #>    \"solid\"    \"solid\"    \"solid\"    \"solid\"    \"solid\"    \"solid\"    \"solid\"  #>    Gurnard     Plaice    Haddock        Cod     Saithe      Total   Resource  #>    \"solid\"    \"solid\"    \"solid\"   \"dashed\"    \"solid\"   \"dotted\"    \"solid\"  #> Background   External  #>    \"solid\"    \"solid\""},{"path":"https://sizespectrum.org/mizer/reference/setComponent.html","id":null,"dir":"Reference","previous_headings":"","what":"Add a dynamical ecosystem component — setComponent","title":"Add a dynamical ecosystem component — setComponent","text":"default, mizer models number size-resolved consumer species single size-resolved resource spectrum. model may require additional components, like example detritus carrion multiple resources .... function allows set components.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setComponent.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Add a dynamical ecosystem component — setComponent","text":"","code":"setComponent(   params,   component,   initial_value,   dynamics_fun,   encounter_fun,   mort_fun,   component_params )  removeComponent(params, component)"},{"path":"https://sizespectrum.org/mizer/reference/setComponent.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Add a dynamical ecosystem component — setComponent","text":"params MizerParams object component Name component initial_value Initial value component dynamics_fun Name function calculate value next time step encounter_fun Name function calculate contribution encounter rate. Optional. mort_fun Name function calculate contribution mortality rate. Optional. component_params Object holding parameters needed component functions. example named list parameters. Optional.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setComponent.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Add a dynamical ecosystem component — setComponent","text":"updated MizerParams object","code":""},{"path":"https://sizespectrum.org/mizer/reference/setComponent.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Add a dynamical ecosystem component — setComponent","text":"component can number, vector, array, list, data structure like. set component new name, new component added existing components. set component existing name, component overwritten. can remove component removeComponent().","code":""},{"path":"https://sizespectrum.org/mizer/reference/setExtEncounter.html","id":null,"dir":"Reference","previous_headings":"","what":"Set external encounter rate — setExtEncounter","title":"Set external encounter rate — setExtEncounter","text":"Set external encounter rate","code":""},{"path":"https://sizespectrum.org/mizer/reference/setExtEncounter.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Set external encounter rate — setExtEncounter","text":"","code":"setExtEncounter(params, ext_encounter = NULL, ...)  getExtEncounter(params)  ext_encounter(params)  ext_encounter(params) <- value"},{"path":"https://sizespectrum.org/mizer/reference/setExtEncounter.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Set external encounter rate — setExtEncounter","text":"params MizerParams ext_encounter Optional. array (species x size) holding external encounter rate.  supplied, external encounter rate left unchanged. Initially set 0. ... Unused value ext_encounter","code":""},{"path":"https://sizespectrum.org/mizer/reference/setExtEncounter.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Set external encounter rate — setExtEncounter","text":"setExtEncounter(): MizerParams object updated external encounter rate. getExtEncounter() equivalently ext_encounter(): array (species x size) external encounter rate.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setExtEncounter.html","id":"setting-external-encounter-rate","dir":"Reference","previous_headings":"","what":"Setting external encounter rate","title":"Set external encounter rate — setExtEncounter","text":"external encounter rate rate predator encounters food explicitly modelled. rate units mass/year. ext_encounter argument allows specify external encounter rate depends species body size. can see example Examples section help page setExtEncounter().","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/setExtEncounter.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Set external encounter rate — setExtEncounter","text":"","code":"params <- newMultispeciesParams(NS_species_params) #> Because you have n != p, the default value for `h` is not very good. #> Because the age at maturity is not known, I need to fall back to using #> von Bertalanffy parameters, where available, and this is not reliable. #> No ks column so calculating from critical feeding level. #> Using z0 = z0pre * w_max ^ z0exp for missing z0 values. #> Using f0, h, lambda, kappa and the predation kernel to calculate gamma.  #### Setting allometric encounter rate #######################  # Set coefficient for each species. Here we choose 0.1 for each species encounter_pre <- rep(0.1, nrow(species_params(params)))  # Multiply by power of size with exponent, here chosen to be 3/4 # The outer() function makes it an array species x size allo_encounter <- outer(encounter_pre, w(params)^(3/4))  # Change the external encounter rate in the params object ext_encounter(params) <- allo_encounter"},{"path":"https://sizespectrum.org/mizer/reference/setExtMort.html","id":null,"dir":"Reference","previous_headings":"","what":"Set external mortality rate — setExtMort","title":"Set external mortality rate — setExtMort","text":"Set external mortality rate","code":""},{"path":"https://sizespectrum.org/mizer/reference/setExtMort.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Set external mortality rate — setExtMort","text":"","code":"setExtMort(   params,   ext_mort = NULL,   z0pre = 0.6,   z0exp = params@resource_params$n - 1,   reset = FALSE,   z0 = deprecated(),   ... )  getExtMort(params)  ext_mort(params)  ext_mort(params) <- value"},{"path":"https://sizespectrum.org/mizer/reference/setExtMort.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Set external mortality rate — setExtMort","text":"params MizerParams ext_mort Optional. array (species x size) holding external mortality rate.  supplied, default set described section \"Setting external mortality rate\". z0pre z0, mortality sources, column species data frame, calculated z0pre * w_max ^ z0exp. Default value 0.6. z0exp z0, mortality sources, column species data frame, calculated z0pre * w_max ^ z0exp. Default value n-1. reset set TRUE, external mortality rate reset value calculated z0 parameters, even previously overwritten custom value. set FALSE (default) recalculation species parameters take place custom value set. z0 Use ext_mort instead. confused species_parameter z0. ... Unused value ext_mort","code":""},{"path":"https://sizespectrum.org/mizer/reference/setExtMort.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Set external mortality rate — setExtMort","text":"setExtMort(): MizerParams object updated external mortality rate. getExtMort() equivalently ext_mort(): array (species x size) external mortality.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setExtMort.html","id":"setting-external-mortality-rate","dir":"Reference","previous_headings":"","what":"Setting external mortality rate","title":"Set external mortality rate — setExtMort","text":"external mortality mortality due fishing predation predators included model. external mortality due predation predators explicitly included model (e.g. mammals seabirds) due causes like illness. rate units 1/year. ext_mort argument allows specify external mortality rate depends species body size. can see example Examples section help page setExtMort(). ext_mort argument supplied, external mortality assumed depend species, size individual: \\(\\mu_{ext.}(w) = z_{0.}\\). value constant \\(z_0\\) species taken z0 column species parameter data frame, column exists. Otherwise calculated $$z_{0.} = {\\tt z0pre}_i\\, w_{inf}^{\\tt z0exp}.$$","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/setExtMort.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Set external mortality rate — setExtMort","text":"","code":"params <- newMultispeciesParams(NS_species_params) #> Because you have n != p, the default value for `h` is not very good. #> Because the age at maturity is not known, I need to fall back to using #> von Bertalanffy parameters, where available, and this is not reliable. #> No ks column so calculating from critical feeding level. #> Using z0 = z0pre * w_max ^ z0exp for missing z0 values. #> Using f0, h, lambda, kappa and the predation kernel to calculate gamma.  #### Setting allometric death rate #######################  # Set coefficient for each species. Here we choose 0.1 for each species z0pre <- rep(0.1, nrow(species_params(params)))  # Multiply by power of size with exponent, here chosen to be -1/4 # The outer() function makes it an array species x size allo_mort <- outer(z0pre, w(params)^(-1/4))  # Change the external mortality rate in the params object ext_mort(params) <- allo_mort"},{"path":"https://sizespectrum.org/mizer/reference/setFishing.html","id":null,"dir":"Reference","previous_headings":"","what":"Set fishing parameters — setFishing","title":"Set fishing parameters — setFishing","text":"Set fishing parameters","code":""},{"path":"https://sizespectrum.org/mizer/reference/setFishing.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Set fishing parameters — setFishing","text":"","code":"setFishing(   params,   selectivity = NULL,   catchability = NULL,   reset = FALSE,   initial_effort = NULL,   ... )  getCatchability(params)  catchability(params)  catchability(params) <- value  getSelectivity(params)  selectivity(params)  selectivity(params) <- value  getInitialEffort(params)"},{"path":"https://sizespectrum.org/mizer/reference/setFishing.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Set fishing parameters — setFishing","text":"params MizerParams object selectivity Optional. array (gear x species x size) holds selectivity gear species size, \\(S_{g,,w}\\). catchability Optional. array (gear x species) holds catchability species gear, \\(Q_{g,}\\). reset set TRUE, catchability selectivity reset values calculated gear parameters, even previously overwritten custom value. set FALSE (default) recalculation gear parameters take place custom value set. initial_effort Optional. number named numeric vector specifying fishing effort. number, effort used gears. vector, must named gear. ... Unused value .","code":""},{"path":"https://sizespectrum.org/mizer/reference/setFishing.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Set fishing parameters — setFishing","text":"setFishing(): MizerParams object updated fishing parameters. getCatchability() equivalently catchability(): array (gear x species) holds catchability species gear, \\(Q_{g,}\\). names dimensions \"gear, \"sp\". getSelectivity() equivalently selectivity(): array (gear x species x size) holds selectivity gear species size, \\(S_{g,,w}\\). names dimensions \"gear, \"sp\", \"w\". getInitialEffort() equivalently initial_effort(): named vector initial fishing effort gear.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setFishing.html","id":"setting-fishing","dir":"Reference","previous_headings":"","what":"Setting fishing","title":"Set fishing parameters — setFishing","text":"Gears mizer, fishing mortality imposed species fishing gears. total per-capita fishing mortality (1/year) obtained summing mortality gears, $$\\mu_{f.}(w) = \\sum_g F_{g,}(w),$$ fishing mortality \\(F_{g,}(w)\\) imposed gear \\(g\\) species \\(\\) size \\(w\\) calculated : $$F_{g,}(w) = S_{g,}(w) Q_{g,} E_{g},$$ \\(S\\) selectivity species, gear size, \\(Q\\) catchability species gear \\(E\\) fishing effort gear. Selectivity selectivity size gear species saved three dimensional array (gear x species x size). entry range 0 (gear selecting species size) 1 (gear selecting individuals species size). three dimensional array can specified explicitly via selectivity argument, usually mizer calculates gear_params slot MizerParams object. allow calculation selectivity array, gear_params slot must data frame one row gear-species combination. example gear can select three species, gear contributes three rows gear_params data frame, one species can select. data frame must columns gear, holding name gear, species, holding name species, sel_func, holding name function calculates selectivity curve. selectivity functions included package: knife_edge(), sigmoid_length(), double_sigmoid_length(), sigmoid_weight(). Users able write size-based selectivity function. first argument function must w function must return vector selectivity (0 1) size. selectivity function may parameters. Values parameters must included columns gear parameters data.frame. names columns must exactly match names corresponding arguments selectivity function. example, default selectivity function knife_edge() sudden change selectivity 0 1 certain size. help page can see knife_edge() function arguments w knife_edge_size. first argument, w, size (function calculates selectivity size). selectivity functions must w first argument. values arguments must found gear parameters data.frame. knife_edge() function knife_edge_size column. knife_edge() default selectivity function, knife_edge_size argument default value = w_mat. commonly-used selectivity function sigmoid_length(). smooth transition 0 1 certain size. sigmoid_length() function two parameters l50 l25 lengths cm 50% 25% fish selected gear. choose selectivity function l50 l25 columns must included gear parameters data.frame. case species selected one gear, columns gear_params data frame can alternatively provided columns species_params data frame, convenient user set . Mizer copy columns create gear_params data frame creates MizerParams object. However changing columns species parameter data frame later update gear_params data frame. Catchability Catchability used additional factor make link gear selectivity, fishing effort fishing mortality. example, can set effort 1 gives desired fishing mortality. way effort can specified relative 'base effort', e.g. effort particular year. Catchability stored two dimensional array (gear x species). can either provided explicitly via catchability argument, information can provided via catchability column gear_params data frame. case species selected single gear, catchability column can also provided species_params data frame. Mizer copy gear_params data frame MizerParams object created. Effort initial fishing effort stored MizerParams object. supplied, set zero. initial effort can overruled simulation run project(), also possible specify effort varies time.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/setFishing.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Set fishing parameters — setFishing","text":"","code":"str(getCatchability(NS_params)) #>  num [1:4, 1:12] 1 0 0 0 1 0 0 0 1 0 ... #>  - attr(*, \"dimnames\")=List of 2 #>   ..$ gear: chr [1:4] \"Industrial\" \"Pelagic\" \"Beam\" \"Otter\" #>   ..$ sp  : chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... str(getSelectivity(NS_params)) #>  num [1:4, 1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ... #>  - attr(*, \"dimnames\")=List of 3 #>   ..$ gear: chr [1:4] \"Industrial\" \"Pelagic\" \"Beam\" \"Otter\" #>   ..$ sp  : chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   ..$ w   : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... str(getInitialEffort(NS_params)) #>  Named num [1:4] 0 1 0.5 0.5 #>  - attr(*, \"names\")= chr [1:4] \"Industrial\" \"Pelagic\" \"Beam\" \"Otter\""},{"path":"https://sizespectrum.org/mizer/reference/setInitialValues.html","id":null,"dir":"Reference","previous_headings":"","what":"Set initial values to values from a simulation — setInitialValues","title":"Set initial values to values from a simulation — setInitialValues","text":"used use results one simulation starting values another simulation.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setInitialValues.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Set initial values to values from a simulation — setInitialValues","text":"","code":"setInitialValues(params, sim, time_range, geometric_mean = FALSE)"},{"path":"https://sizespectrum.org/mizer/reference/setInitialValues.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Set initial values to values from a simulation — setInitialValues","text":"params MizerParams object set initial values sim MizerSim object take values. time_range time range average abundances . Can vector values, vector min max time, single value. range times relevant, .e., times smallest largest selected.  Default final time step. geometric_mean TRUE average abundances time range geometric mean instead default arithmetic mean. affect average effort components, always arithmetic.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setInitialValues.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Set initial values to values from a simulation — setInitialValues","text":"params object updated initial values initial effort. way R language works, setInitialValues() make changes params object pass instead returns new params object. affect change call function form params <- setInitialValues(params, sim).","code":""},{"path":"https://sizespectrum.org/mizer/reference/setInitialValues.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Set initial values to values from a simulation — setInitialValues","text":"initial abundances (species resource) params object set abundances MizerSim object, averaged range times. Similarly, initial effort params object set effort MizerSim object, averaged range times. time range specified, initial values taken final time step simulation. model described sim params additional components created setComponent() values components also averaged copied params. MizerSim object must come model set species gears components size bins MizerParams object. Otherwise error raised.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/setInitialValues.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Set initial values to values from a simulation — setInitialValues","text":"","code":"# \\donttest{ params <- NS_params sim <- project(params, t_max = 20, effort = 0.5) params <- setInitialValues(params, sim) # }"},{"path":"https://sizespectrum.org/mizer/reference/setInteraction.html","id":null,"dir":"Reference","previous_headings":"","what":"Set species interaction matrix — setInteraction","title":"Set species interaction matrix — setInteraction","text":"Set species interaction matrix","code":""},{"path":"https://sizespectrum.org/mizer/reference/setInteraction.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Set species interaction matrix — setInteraction","text":"","code":"setInteraction(params, interaction = NULL)  interaction_matrix(params)  interaction_matrix(params) <- value"},{"path":"https://sizespectrum.org/mizer/reference/setInteraction.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Set species interaction matrix — setInteraction","text":"params MizerParams object interaction Optional interaction matrix species (predator species x prey species). default entries 1. See \"Setting interaction matrix\" section . value interaction matrix","code":""},{"path":"https://sizespectrum.org/mizer/reference/setInteraction.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Set species interaction matrix — setInteraction","text":"setInteraction: MizerParams object updated interaction matrix interaction_matrix(): interaction matrix (predator species x prey species)","code":""},{"path":"https://sizespectrum.org/mizer/reference/setInteraction.html","id":"setting-interaction-matrix","dir":"Reference","previous_headings":"","what":"Setting interaction matrix","title":"Set species interaction matrix — setInteraction","text":"need specify interaction matrix. , predator-prey interactions purely determined size predator prey totally independent species predator prey. interaction matrix \\(\\theta_{ij}\\) modifies interaction pair species model. can used example allow different spatial overlap among species. values interaction matrix used scale encountered food predation mortality (see website section predator-prey encounter rate predation mortality). first index refers predator species second prey species. interaction matrix used calculating food encounter rate getEncounter() predation mortality rate getPredMort(). entries dimensionless numbers. values interaction matrix equal predator-prey interactions determined entirely size-preference. function checks supplied interaction matrix valid stores interaction slot params object. order columns rows interaction argument order species params data frame params object. supply named array function check order warn different. One way creating interaction matrix enter data using spreadsheet program saving .csv file. data can read R using command read.csv(). interaction species resource set via column interaction_resource species_params data frame. default column set 1s.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/setInteraction.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Set species interaction matrix — setInteraction","text":"","code":"params <- newTraitParams(no_sp = 3) inter <- getInteraction(params) #> Warning: `getInteraction()` was deprecated in mizer 2.4.0. #> ℹ Please use `interaction_matrix()` instead. inter[1, 2:3] <- 0 params <- setInteraction(params, interaction = inter) getInteraction(params) #>         prey #> predator 1 2 3 #>        1 1 0 0 #>        2 1 1 1 #>        3 1 1 1"},{"path":"https://sizespectrum.org/mizer/reference/setMaxIntakeRate.html","id":null,"dir":"Reference","previous_headings":"","what":"Set maximum intake rate — setMaxIntakeRate","title":"Set maximum intake rate — setMaxIntakeRate","text":"Set maximum intake rate","code":""},{"path":"https://sizespectrum.org/mizer/reference/setMaxIntakeRate.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Set maximum intake rate — setMaxIntakeRate","text":"","code":"setMaxIntakeRate(params, intake_max = NULL, reset = FALSE, ...)  getMaxIntakeRate(params)  intake_max(params)  intake_max(params) <- value"},{"path":"https://sizespectrum.org/mizer/reference/setMaxIntakeRate.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Set maximum intake rate — setMaxIntakeRate","text":"params MizerParams intake_max Optional. array (species x size) holding maximum intake rate species size. supplied, default set described section \"Setting maximum intake rate\". reset set TRUE, intake rate reset value calculated species parameters, even previously overwritten custom value. set FALSE (default) recalculation species parameters take place custom value set. ... Unused value intake_max","code":""},{"path":"https://sizespectrum.org/mizer/reference/setMaxIntakeRate.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Set maximum intake rate — setMaxIntakeRate","text":"setReproduction(): MizerParams object updated maximum intake rate. getMaxIntakeRate() equivalently intake_max(): array (species x size) maximum intake rate.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setMaxIntakeRate.html","id":"setting-maximum-intake-rate","dir":"Reference","previous_headings":"","what":"Setting maximum intake rate","title":"Set maximum intake rate — setMaxIntakeRate","text":"maximum intake rate \\(h_i(w)\\) individual species \\(\\) weight \\(w\\) determines feeding level, calculated getFeedingLevel(). measured grams/year. intake_max argument supplied, maximum intake rate set $$h_i(w) = h_i w^{n_i}.$$ values \\(h_i\\) (maximum intake rate individual size 1 gram) \\(n_i\\) (allometric exponent intake rate) taken h n columns species parameter dataframe. h column supplied species parameter dataframe, calculated get_h_default() function. \\(h_i\\) set Inf, fish species consume encountered food.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/setMetabolicRate.html","id":null,"dir":"Reference","previous_headings":"","what":"Set metabolic rate — setMetabolicRate","title":"Set metabolic rate — setMetabolicRate","text":"Sets rate energy used metabolism activity","code":""},{"path":"https://sizespectrum.org/mizer/reference/setMetabolicRate.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Set metabolic rate — setMetabolicRate","text":"","code":"setMetabolicRate(params, metab = NULL, p = NULL, reset = FALSE, ...)  getMetabolicRate(params)  metab(params)  metab(params) <- value"},{"path":"https://sizespectrum.org/mizer/reference/setMetabolicRate.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Set metabolic rate — setMetabolicRate","text":"params MizerParams metab Optional. array (species x size) holding metabolic rate species size. supplied, default set described section \"Setting metabolic rate\". p allometric metabolic exponent. used metab given explicitly exponent specified p column species_params. reset set TRUE, metabolic rate reset value calculated species parameters, even previously overwritten custom value. set FALSE (default) recalculation species parameters take place custom value set. ... Unused value metab","code":""},{"path":"https://sizespectrum.org/mizer/reference/setMetabolicRate.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Set metabolic rate — setMetabolicRate","text":"setMetabolicRate(): MizerParams object updated metabolic rate. getMetabolicRate() equivalently metab(): array (species x size) metabolic rate.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setMetabolicRate.html","id":"setting-metabolic-rate","dir":"Reference","previous_headings":"","what":"Setting metabolic rate","title":"Set metabolic rate — setMetabolicRate","text":"metabolic rate subtracted energy income rate calculate rate energy available growth reproduction, see getEReproAndGrowth(). measured grams/year. metab argument supplied, species metabolic rate \\(k(w)\\) individual size \\(w\\) set $$k(w) = k_s w^p + k w,$$ \\(k_s w^p\\) represents rate standard metabolism \\(k w\\) rate energy expended activity movement. values \\(k_s\\), \\(p\\) \\(k\\) taken ks, p k columns species parameter dataframe. parameters supplied, defaults \\(k = 0\\), \\(p = n\\) $$k_s = f_c h \\alpha w_{mat}^{n-p},$$ \\(f_c\\) critical feeding level taken fc column species parameter data frame. critical feeding level specified, default \\(f_c = 0.2\\) used.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/setMetadata.html","id":null,"dir":"Reference","previous_headings":"","what":"Set metadata for a model — setMetadata","title":"Set metadata for a model — setMetadata","text":"Setting metadata particularly important sharing model others. metadata fields optional can also add fields choosing. set value field already existed, old value overwritten.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setMetadata.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Set metadata for a model — setMetadata","text":"","code":"setMetadata(params, title, description, authors, url, doi, ...)  getMetadata(params)"},{"path":"https://sizespectrum.org/mizer/reference/setMetadata.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Set metadata for a model — setMetadata","text":"params MizerParams object model title string title model description string description model. example contain information publications using model. authors author entry list author entries, author entry either just name list fields like name, orcid, possibly email. url URL information model can found. blog post mizer blog, example. doi digital object identifier model. create doi can use online services like https://zenodo.org/ https://figshare.com. ... Additional metadata fields like add","code":""},{"path":"https://sizespectrum.org/mizer/reference/setMetadata.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Set metadata for a model — setMetadata","text":"setMetadata(): MizerParams object updated metadata getMetadata(): list metadata entries set, including least mizer_version, extensions, time_created time_modified.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setMetadata.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Set metadata for a model — setMetadata","text":"addition metadata fields can set hand, four fields set automatically mizer: mizer_version version string mizer version model created last upgraded. Can compared current version obtained packageVersion(\"mizer\"). purpose field model working expected current version mizer, can go back older version presumably working. extensions named vector strings name name extension package needed run model value string giving information remotes package needs install correct version extension package, see https://remotes.r-lib.org/. field set extension packages. time_created POSIXct date-time object creation time. time_modified POSIXct date-time object last modified time. Setting metadata function count modification object, time_modified field updated.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setParams.html","id":null,"dir":"Reference","previous_headings":"","what":"Set or change any model parameters — setParams","title":"Set or change any model parameters — setParams","text":"convenient wrapper function calling following functions setPredKernel() setSearchVolume() setInteraction() setMaxIntakeRate() setMetabolicRate() setExtMort() setExtEncounter() setReproduction() setFishing() See Details section discussion use function.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setParams.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Set or change any model parameters — setParams","text":"","code":"setParams(params, interaction = NULL, ...)"},{"path":"https://sizespectrum.org/mizer/reference/setParams.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Set or change any model parameters — setParams","text":"params MizerParams object interaction Optional interaction matrix species (predator species x prey species). default entries 1. See \"Setting interaction matrix\" section . ... Arguments passed setPredKernel, setSearchVolume, setMaxIntakeRate, setMetabolicRate, setExtMort, setReproduction, setFishing pred_kernel Optional. array (species x predator size x prey size) holds predation coefficient predator size prey size. supplied, default set described section \"Setting predation kernel\". search_vol Optional. array (species x size) holding search volume species size. supplied, default set described section \"Setting search volume\". intake_max Optional. array (species x size) holding maximum intake rate species size. supplied, default set described section \"Setting maximum intake rate\". metab Optional. array (species x size) holding metabolic rate species size. supplied, default set described section \"Setting metabolic rate\". p allometric metabolic exponent. used metab given explicitly exponent specified p column species_params. ext_mort Optional. array (species x size) holding external mortality rate.  supplied, default set described section \"Setting external mortality rate\". z0pre z0, mortality sources, column species data frame, calculated z0pre * w_max ^ z0exp. Default value 0.6. z0exp z0, mortality sources, column species data frame, calculated z0pre * w_max ^ z0exp. Default value n-1. z0 Use ext_mort instead. confused species_parameter z0. maturity Optional. array (species x size) holds proportion individuals species size mature. supplied, default set described section \"Setting reproduction\". repro_prop Optional. array (species x size) holds proportion consumed energy mature individual allocates reproduction species size. supplied, default set described section \"Setting reproduction\". RDD name function calculating density-dependent reproduction rate density-independent rate. Defaults \"BevertonHoltRDD()\". selectivity Optional. array (gear x species x size) holds selectivity gear species size, \\(S_{g,,w}\\). catchability Optional. array (gear x species) holds catchability species gear, \\(Q_{g,}\\). initial_effort Optional. number named numeric vector specifying fishing effort. number, effort used gears. vector, must named gear.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setParams.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Set or change any model parameters — setParams","text":"MizerParams object","code":""},{"path":"https://sizespectrum.org/mizer/reference/setParams.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Set or change any model parameters — setParams","text":"happy assumptions mizer makes default shape model functions, example want change one allometric scaling assumptions, can providing choice array appropriate argument setParams(). sections discuss model functions can change way. way R language works, setParams make changes params object pass instead returns new params object. affect change call function form params <- setParams(params, ...). Usually, happy way mizer calculates model functions species parameters want change values species parameters, make changes species_params data frame contained params object using species_params<-(). example assumes MizerParams object params just want change gamma parameter third species:   Internally actually call setParams() recalculate parameters affected change species parameter. setParams() use species parameters params object recalculate values model functions except set custom values.","code":"species_params(params)$gamma[[3]] <- 1000"},{"path":"https://sizespectrum.org/mizer/reference/setParams.html","id":"units-in-mizer","dir":"Reference","previous_headings":"","what":"Units in mizer","title":"Set or change any model parameters — setParams","text":"Mizer uses grams measure weight, centimetres measure lengths, years measure time. Mizer agnostic whether abundances given numbers per area, numbers per volume total numbers entire study area. make choice convenient application stick . make choice 1 2 also choose unit area volume. choice determine units parameters. mentioned parameters discussed sections . choice also affect units quantities may want calculate model. example, yield grams/year/m^2 case 1 choose m^2 measure area, grams/year/m^3 case 2 choose m^3 unit volume, simply grams/year case 3. comment applies measures, like total biomass, grams/area case 1, grams/volume case 2 simply grams case 3. mizer puts units axes plots, choose units appropriate case 3. example plotBiomass() gives unit grams. can convert choices. example, use case 1, need multiply area ecosystem get total quantity. work case 2, need multiply area thickness productive layer. respect, case 2 bit cumbersome. function scaleModel() useful change units using.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setParams.html","id":"setting-interaction-matrix","dir":"Reference","previous_headings":"","what":"Setting interaction matrix","title":"Set or change any model parameters — setParams","text":"need specify interaction matrix. , predator-prey interactions purely determined size predator prey totally independent species predator prey. interaction matrix \\(\\theta_{ij}\\) modifies interaction pair species model. can used example allow different spatial overlap among species. values interaction matrix used scale encountered food predation mortality (see website section predator-prey encounter rate predation mortality). first index refers predator species second prey species. interaction matrix used calculating food encounter rate getEncounter() predation mortality rate getPredMort(). entries dimensionless numbers. values interaction matrix equal predator-prey interactions determined entirely size-preference. function checks supplied interaction matrix valid stores interaction slot params object. order columns rows interaction argument order species params data frame params object. supply named array function check order warn different. One way creating interaction matrix enter data using spreadsheet program saving .csv file. data can read R using command read.csv(). interaction species resource set via column interaction_resource species_params data frame. default column set 1s.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setParams.html","id":"setting-predation-kernel","dir":"Reference","previous_headings":"","what":"Setting predation kernel","title":"Set or change any model parameters — setParams","text":"Kernel dependent predator prey size ratio pred_kernel argument supplied, function sets predation kernel depends ratio predator mass prey mass, two masses independently. shape kernel determined pred_kernel_type column species_params. default pred_kernel_type \"lognormal\". call function lognormal_pred_kernel() calculate predation kernel. alternative pred_kernel type \"box\", implemented function box_pred_kernel(), \"power_law\", implemented function power_law_pred_kernel(). functions require certain species parameters species_params data frame. lognormal kernel beta sigma, box kernel ppmr_min ppmr_max. explained help pages kernel functions. Except beta sigma, defaults set parameters. missing species_params data frame mizer issue error message. can use string pred_kernel_type. example choose \"\" need define function my_pred_kernel can model existing functions like lognormal_pred_kernel(). using kernel depends predator/prey size ratio , mizer need store entire three dimensional array MizerParams object. array can big large number size bins. Instead, mizer needs store two two-dimensional arrays hold Fourier transforms feeding kernel function allow encounter rate predation rate calculated efficiently. However, need full three-dimensional array can calculate getPredKernel() function. Kernel dependent predator prey size want work feeding kernel depends predator mass prey mass independently, can specify full feeding kernel three-dimensional array (predator species x predator size x prey size). use option kernel dependent predator/prey mass ratio appropriate. Using kernel dependent predator/prey mass ratio allows mizer use fast Fourier transform methods significantly reduce running time simulations. order predator species pred_kernel order species params dataframe params object. supply named array function check order warn different.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setParams.html","id":"setting-search-volume","dir":"Reference","previous_headings":"","what":"Setting search volume","title":"Set or change any model parameters — setParams","text":"search volume \\(\\gamma_i(w)\\) individual species \\(\\) weight \\(w\\) multiplies predation kernel calculating encounter rate getEncounter() predation rate getPredRate(). name \"search volume\" bit misleading, \\(\\gamma_i(w)\\) units volume. simply parameter determines rate predation. units depend choice, see section \"Units mizer\". chosen work total abundances, rate units 1/year. chosen work abundances per m^2 units m^2/year. chosen work abundances per m^3 units m^3/year. search_vol argument supplied, search volume set $$\\gamma_i(w) = \\gamma_i w^q_i.$$ values \\(\\gamma_i\\) (search volume 1g) \\(q_i\\) (allometric exponent search volume) taken gamma q columns species parameter dataframe. gamma column supplied species parameter dataframe, default calculated get_gamma_default() function. Note predators size \\(w = 1\\) gram value species parameter \\(\\gamma_i\\) value search volume \\(\\gamma_i(w)\\).","code":""},{"path":"https://sizespectrum.org/mizer/reference/setParams.html","id":"setting-maximum-intake-rate","dir":"Reference","previous_headings":"","what":"Setting maximum intake rate","title":"Set or change any model parameters — setParams","text":"maximum intake rate \\(h_i(w)\\) individual species \\(\\) weight \\(w\\) determines feeding level, calculated getFeedingLevel(). measured grams/year. intake_max argument supplied, maximum intake rate set $$h_i(w) = h_i w^{n_i}.$$ values \\(h_i\\) (maximum intake rate individual size 1 gram) \\(n_i\\) (allometric exponent intake rate) taken h n columns species parameter dataframe. h column supplied species parameter dataframe, calculated get_h_default() function. \\(h_i\\) set Inf, fish species consume encountered food.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setParams.html","id":"setting-metabolic-rate","dir":"Reference","previous_headings":"","what":"Setting metabolic rate","title":"Set or change any model parameters — setParams","text":"metabolic rate subtracted energy income rate calculate rate energy available growth reproduction, see getEReproAndGrowth(). measured grams/year. metab argument supplied, species metabolic rate \\(k(w)\\) individual size \\(w\\) set $$k(w) = k_s w^p + k w,$$ \\(k_s w^p\\) represents rate standard metabolism \\(k w\\) rate energy expended activity movement. values \\(k_s\\), \\(p\\) \\(k\\) taken ks, p k columns species parameter dataframe. parameters supplied, defaults \\(k = 0\\), \\(p = n\\) $$k_s = f_c h \\alpha w_{mat}^{n-p},$$ \\(f_c\\) critical feeding level taken fc column species parameter data frame. critical feeding level specified, default \\(f_c = 0.2\\) used.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setParams.html","id":"setting-external-mortality-rate","dir":"Reference","previous_headings":"","what":"Setting external mortality rate","title":"Set or change any model parameters — setParams","text":"external mortality mortality due fishing predation predators included model. external mortality due predation predators explicitly included model (e.g. mammals seabirds) due causes like illness. rate units 1/year. ext_mort argument allows specify external mortality rate depends species body size. can see example Examples section help page setExtMort(). ext_mort argument supplied, external mortality assumed depend species, size individual: \\(\\mu_{ext.}(w) = z_{0.}\\). value constant \\(z_0\\) species taken z0 column species parameter data frame, column exists. Otherwise calculated $$z_{0.} = {\\tt z0pre}_i\\, w_{inf}^{\\tt z0exp}.$$","code":""},{"path":"https://sizespectrum.org/mizer/reference/setParams.html","id":"setting-external-encounter-rate","dir":"Reference","previous_headings":"","what":"Setting external encounter rate","title":"Set or change any model parameters — setParams","text":"external encounter rate rate predator encounters food explicitly modelled. rate units mass/year. ext_encounter argument allows specify external encounter rate depends species body size. can see example Examples section help page setExtEncounter().","code":""},{"path":"https://sizespectrum.org/mizer/reference/setParams.html","id":"setting-reproduction","dir":"Reference","previous_headings":"","what":"Setting reproduction","title":"Set or change any model parameters — setParams","text":"species size, proportion \\(\\psi\\) available energy invested reproduction product two factors: proportion maturity individuals mature proportion repro_prop energy available mature individual invested reproduction. size w_repro_max energy invested reproduction therefore growth stops. can fish larger w_repro_max. specified w_repro_max column species parameter data frame, maximum size w_max used instead.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setParams.html","id":"maturity-ogive","dir":"Reference","previous_headings":"","what":"Maturity ogive","title":"Set or change any model parameters — setParams","text":"proportion individuals mature supplied via maturity argument, set sigmoidal maturity ogive changes 0 1 around maturity size: $${\\tt maturity}(w) = \\left[1+\\left(\\frac{w}{w_{mat}}\\right)^{-U}\\right]^{-1}.$$ (avoid clutter, showing species index equations, although species maturity ogive.) maturity weights taken w_mat column species_params data frame. missing maturity weights set 1/4 maximum weight w_max column. exponent \\(U\\) determines steepness maturity ogive. default chosen \\(U = 10\\), however can overridden including column w_mat25 species parameter dataframe specifies weight 25% individuals mature, sets \\(U = \\log(3) / \\log(w_{mat} / w_{mat25}).\\) sigmoidal function given strictly reach 1 asymptotically. Mizer instead sets function equal 1 already size taken w_repro_max column species parameter data frame, exists, otherwise w_max column. Also, computational simplicity, proportion smaller 1e-8 set 0.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setParams.html","id":"investment-into-reproduction","dir":"Reference","previous_headings":"","what":"Investment into reproduction","title":"Set or change any model parameters — setParams","text":"energy available mature individual invested reproduction supplied via repro_prop argument, set allometric form $${\\tt repro\\_prop}(w) = \\left(\\frac{w}{w_{\\tt{repro\\_max}}}\\right)^{m-n}.$$ \\(n\\) scaling exponent energy income rate. Hence exponent \\(m\\) determines scaling investment reproduction mature individuals. default chosen \\(m = 1\\) rate energy invested reproduction scales linearly size. default can overridden including column m species parameter dataframe. maximum sizes taken w_repro_max column species parameter data frame, exists, otherwise w_max column. total proportion energy invested reproduction individual size \\(w\\) $$\\psi(w) = {\\tt maturity}(w){\\tt repro\\_prop}(w)$$","code":""},{"path":"https://sizespectrum.org/mizer/reference/setParams.html","id":"reproductive-efficiency","dir":"Reference","previous_headings":"","what":"Reproductive efficiency","title":"Set or change any model parameters — setParams","text":"reproductive efficiency \\(\\epsilon\\), .e., proportion energy allocated reproduction results egg biomass, set erepro column species_params data frame. provided, default set 1 (want override). offspring biomass divided egg biomass gives rate egg production, returned getRDI(): $$R_{di} = \\frac{\\epsilon}{2 w_{min}} \\int N(w)  E_r(w) \\psi(w) \\, dw$$","code":""},{"path":"https://sizespectrum.org/mizer/reference/setParams.html","id":"density-dependence","dir":"Reference","previous_headings":"","what":"Density dependence","title":"Set or change any model parameters — setParams","text":"stock-recruitment relationship emergent phenomenon mizer, several sources density dependence. Firstly, amount energy invested reproduction depends energy income spawners, density-dependent due competition prey. Secondly, proportion larvae grow recruitment size depends larval mortality, depends density predators, larval growth rate, depends density prey. Finally, encode density dependence stock-recruitment relationship already included two sources density dependence, mizer puts density-independent rate egg production density-dependence function. result returned getRDD(). name density-dependence function specified RDD argument. default Beverton-Holt function BevertonHoltRDD(), requires R_max column species_params data frame giving maximum egg production rate. column exist, initialised Inf, leading density-dependence. functions provided mizer RickerRDD() SheperdRDD() can easily use models writing functions.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setParams.html","id":"setting-fishing","dir":"Reference","previous_headings":"","what":"Setting fishing","title":"Set or change any model parameters — setParams","text":"Gears mizer, fishing mortality imposed species fishing gears. total per-capita fishing mortality (1/year) obtained summing mortality gears, $$\\mu_{f.}(w) = \\sum_g F_{g,}(w),$$ fishing mortality \\(F_{g,}(w)\\) imposed gear \\(g\\) species \\(\\) size \\(w\\) calculated : $$F_{g,}(w) = S_{g,}(w) Q_{g,} E_{g},$$ \\(S\\) selectivity species, gear size, \\(Q\\) catchability species gear \\(E\\) fishing effort gear. Selectivity selectivity size gear species saved three dimensional array (gear x species x size). entry range 0 (gear selecting species size) 1 (gear selecting individuals species size). three dimensional array can specified explicitly via selectivity argument, usually mizer calculates gear_params slot MizerParams object. allow calculation selectivity array, gear_params slot must data frame one row gear-species combination. example gear can select three species, gear contributes three rows gear_params data frame, one species can select. data frame must columns gear, holding name gear, species, holding name species, sel_func, holding name function calculates selectivity curve. selectivity functions included package: knife_edge(), sigmoid_length(), double_sigmoid_length(), sigmoid_weight(). Users able write size-based selectivity function. first argument function must w function must return vector selectivity (0 1) size. selectivity function may parameters. Values parameters must included columns gear parameters data.frame. names columns must exactly match names corresponding arguments selectivity function. example, default selectivity function knife_edge() sudden change selectivity 0 1 certain size. help page can see knife_edge() function arguments w knife_edge_size. first argument, w, size (function calculates selectivity size). selectivity functions must w first argument. values arguments must found gear parameters data.frame. knife_edge() function knife_edge_size column. knife_edge() default selectivity function, knife_edge_size argument default value = w_mat. commonly-used selectivity function sigmoid_length(). smooth transition 0 1 certain size. sigmoid_length() function two parameters l50 l25 lengths cm 50% 25% fish selected gear. choose selectivity function l50 l25 columns must included gear parameters data.frame. case species selected one gear, columns gear_params data frame can alternatively provided columns species_params data frame, convenient user set . Mizer copy columns create gear_params data frame creates MizerParams object. However changing columns species parameter data frame later update gear_params data frame. Catchability Catchability used additional factor make link gear selectivity, fishing effort fishing mortality. example, can set effort 1 gives desired fishing mortality. way effort can specified relative 'base effort', e.g. effort particular year. Catchability stored two dimensional array (gear x species). can either provided explicitly via catchability argument, information can provided via catchability column gear_params data frame. case species selected single gear, catchability column can also provided species_params data frame. Mizer copy gear_params data frame MizerParams object created. Effort initial fishing effort stored MizerParams object. supplied, set zero. initial effort can overruled simulation run project(), also possible specify effort varies time.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/setPredKernel.html","id":null,"dir":"Reference","previous_headings":"","what":"Set predation kernel — setPredKernel","title":"Set predation kernel — setPredKernel","text":"predation kernel determines distribution prey sizes predator feeds . used getEncounter() calculating rate food encountered getPredRate() calculating rate prey predated upon. predation kernel can function predator/prey size ratio can function predator size prey size separately. types can set function.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setPredKernel.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Set predation kernel — setPredKernel","text":"","code":"setPredKernel(params, pred_kernel = NULL, reset = FALSE, ...)  getPredKernel(params)  pred_kernel(params)  pred_kernel(params) <- value"},{"path":"https://sizespectrum.org/mizer/reference/setPredKernel.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Set predation kernel — setPredKernel","text":"params MizerParams object pred_kernel Optional. array (species x predator size x prey size) holds predation coefficient predator size prey size. supplied, default set described section \"Setting predation kernel\". reset set TRUE, predation kernel reset value calculated species parameters, even previously overwritten custom value. set FALSE (default) recalculation species parameters take place custom value set. ... Unused value pred_kernel","code":""},{"path":"https://sizespectrum.org/mizer/reference/setPredKernel.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Set predation kernel — setPredKernel","text":"setPredKernel(): MizerParams object updated predation kernel. getPredKernel() equivalently pred_kernel(): array (predator species x predator_size x prey_size)","code":""},{"path":"https://sizespectrum.org/mizer/reference/setPredKernel.html","id":"setting-predation-kernel","dir":"Reference","previous_headings":"","what":"Setting predation kernel","title":"Set predation kernel — setPredKernel","text":"Kernel dependent predator prey size ratio pred_kernel argument supplied, function sets predation kernel depends ratio predator mass prey mass, two masses independently. shape kernel determined pred_kernel_type column species_params. default pred_kernel_type \"lognormal\". call function lognormal_pred_kernel() calculate predation kernel. alternative pred_kernel type \"box\", implemented function box_pred_kernel(), \"power_law\", implemented function power_law_pred_kernel(). functions require certain species parameters species_params data frame. lognormal kernel beta sigma, box kernel ppmr_min ppmr_max. explained help pages kernel functions. Except beta sigma, defaults set parameters. missing species_params data frame mizer issue error message. can use string pred_kernel_type. example choose \"\" need define function my_pred_kernel can model existing functions like lognormal_pred_kernel(). using kernel depends predator/prey size ratio , mizer need store entire three dimensional array MizerParams object. array can big large number size bins. Instead, mizer needs store two two-dimensional arrays hold Fourier transforms feeding kernel function allow encounter rate predation rate calculated efficiently. However, need full three-dimensional array can calculate getPredKernel() function. Kernel dependent predator prey size want work feeding kernel depends predator mass prey mass independently, can specify full feeding kernel three-dimensional array (predator species x predator size x prey size). use option kernel dependent predator/prey mass ratio appropriate. Using kernel dependent predator/prey mass ratio allows mizer use fast Fourier transform methods significantly reduce running time simulations. order predator species pred_kernel order species params dataframe params object. supply named array function check order warn different.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/setPredKernel.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Set predation kernel — setPredKernel","text":"","code":"## Set up a MizerParams object params <-  NS_params  ## If you change predation kernel parameters after setting up a model,  #  this will be used to recalculate the kernel species_params(params)[\"Cod\", \"beta\"] <- 200  ## You can change to a different predation kernel type species_params(params)$ppmr_max <- 4000 species_params(params)$ppmr_min <- 200 species_params(params)$pred_kernel_type <- \"box\" plot(w_full(params), getPredKernel(params)[\"Cod\", 100, ], type=\"l\", log=\"x\")   ## If you need a kernel that depends also on prey size you need to define # it yourself. pred_kernel <- getPredKernel(params) pred_kernel[\"Herring\", , ] <- sweep(pred_kernel[\"Herring\", , ], 2,                                      params@w_full, \"*\") params<- setPredKernel(params, pred_kernel = pred_kernel)"},{"path":"https://sizespectrum.org/mizer/reference/setRateFunction.html","id":null,"dir":"Reference","previous_headings":"","what":"Set own rate function to replace mizer rate function — setRateFunction","title":"Set own rate function to replace mizer rate function — setRateFunction","text":"way mizer calculates fundamental rate entering model flexible enough (example need introduce time dependence) can write functions calculating rate use setRateFunction() register mizer.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setRateFunction.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Set own rate function to replace mizer rate function — setRateFunction","text":"","code":"setRateFunction(params, rate, fun)  getRateFunction(params, rate)  other_params(params)  other_params(params) <- value"},{"path":"https://sizespectrum.org/mizer/reference/setRateFunction.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Set own rate function to replace mizer rate function — setRateFunction","text":"params MizerParams object rate Name rate new function set. fun Name function use calculate rate. value Values parameters","code":""},{"path":"https://sizespectrum.org/mizer/reference/setRateFunction.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Set own rate function to replace mizer rate function — setRateFunction","text":"setRateFunction(): updated MizerParams object getRateFunction(): name registered rate function requested rate, list rate functions called without rate argument. other_params(): named list parameters set values.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setRateFunction.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Set own rate function to replace mizer rate function — setRateFunction","text":"time step simulation project() function, mizer needs calculate instantaneous values various rates. default calls mizerRates() function creates list following components: encounter mizerEncounter() feeding_level mizerFeedingLevel() pred_rate mizerPredRate() pred_mort mizerPredMort() f_mort mizerFMort() mort mizerMort() resource_mort mizerResourceMort() e mizerEReproAndGrowth() e_repro mizerERepro() e_growth mizerEGrowth() rdi mizerRDI() rdd BevertonHoltRDD() can substitute function. example written function calculating total mortality rate called myMort mizer model stored MizerParams object called params want run new mortality rate, call   general want replace function mizerSomeRateFunc() function myVersionOfThis() call   extreme cases may need swap entire mizerRates() function function called myRates(). can   new rate functions may need model parameters. can store other_params(params). example   Note rate functions need defined global environment package. defined within function mizer find .","code":"params <- setRateFunction(params, \"Mort\", \"myMort\") params <- setRateFunction(params, \"SomeRateFunc\", \"myVersionOfThis\") params <- setRateFunction(params, \"Rates\", \"myRates\") other_params(params)$my_param <- 42"},{"path":"https://sizespectrum.org/mizer/reference/setReproduction.html","id":null,"dir":"Reference","previous_headings":"","what":"Set reproduction parameters — setReproduction","title":"Set reproduction parameters — setReproduction","text":"Sets proportion total energy available reproduction growth invested reproduction function size individual sets additional density dependence.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setReproduction.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Set reproduction parameters — setReproduction","text":"","code":"setReproduction(   params,   maturity = NULL,   repro_prop = NULL,   reset = FALSE,   RDD = NULL,   ... )  getMaturityProportion(params)  maturity(params)  maturity(params) <- value  getReproductionProportion(params)  repro_prop(params)  repro_prop(params) <- value"},{"path":"https://sizespectrum.org/mizer/reference/setReproduction.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Set reproduction parameters — setReproduction","text":"params MizerParams object maturity Optional. array (species x size) holds proportion individuals species size mature. supplied, default set described section \"Setting reproduction\". repro_prop Optional. array (species x size) holds proportion consumed energy mature individual allocates reproduction species size. supplied, default set described section \"Setting reproduction\". reset set TRUE, maturity repro_prop reset value calculated species parameters, even previously overwritten custom values. set FALSE (default) recalculation species parameters take place custom values set. RDD name function calculating density-dependent reproduction rate density-independent rate. Defaults \"BevertonHoltRDD()\". ... Unused value .","code":""},{"path":"https://sizespectrum.org/mizer/reference/setReproduction.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Set reproduction parameters — setReproduction","text":"setReproduction(): MizerParams object updated reproduction parameters. getMaturityProportion() equivalently `maturity(): array (species x size) holds proportion individuals species size mature. getReproductionProportion() equivalently repro_prop(): array (species x size) holds proportion consumed energy mature individual allocates reproduction species size. sizes maturity proportion zero, also reproduction proportion returned zero.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setReproduction.html","id":"setting-reproduction","dir":"Reference","previous_headings":"","what":"Setting reproduction","title":"Set reproduction parameters — setReproduction","text":"species size, proportion \\(\\psi\\) available energy invested reproduction product two factors: proportion maturity individuals mature proportion repro_prop energy available mature individual invested reproduction. size w_repro_max energy invested reproduction therefore growth stops. can fish larger w_repro_max. specified w_repro_max column species parameter data frame, maximum size w_max used instead.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setReproduction.html","id":"maturity-ogive","dir":"Reference","previous_headings":"","what":"Maturity ogive","title":"Set reproduction parameters — setReproduction","text":"proportion individuals mature supplied via maturity argument, set sigmoidal maturity ogive changes 0 1 around maturity size: $${\\tt maturity}(w) = \\left[1+\\left(\\frac{w}{w_{mat}}\\right)^{-U}\\right]^{-1}.$$ (avoid clutter, showing species index equations, although species maturity ogive.) maturity weights taken w_mat column species_params data frame. missing maturity weights set 1/4 maximum weight w_max column. exponent \\(U\\) determines steepness maturity ogive. default chosen \\(U = 10\\), however can overridden including column w_mat25 species parameter dataframe specifies weight 25% individuals mature, sets \\(U = \\log(3) / \\log(w_{mat} / w_{mat25}).\\) sigmoidal function given strictly reach 1 asymptotically. Mizer instead sets function equal 1 already size taken w_repro_max column species parameter data frame, exists, otherwise w_max column. Also, computational simplicity, proportion smaller 1e-8 set 0.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setReproduction.html","id":"investment-into-reproduction","dir":"Reference","previous_headings":"","what":"Investment into reproduction","title":"Set reproduction parameters — setReproduction","text":"energy available mature individual invested reproduction supplied via repro_prop argument, set allometric form $${\\tt repro\\_prop}(w) = \\left(\\frac{w}{w_{\\tt{repro\\_max}}}\\right)^{m-n}.$$ \\(n\\) scaling exponent energy income rate. Hence exponent \\(m\\) determines scaling investment reproduction mature individuals. default chosen \\(m = 1\\) rate energy invested reproduction scales linearly size. default can overridden including column m species parameter dataframe. maximum sizes taken w_repro_max column species parameter data frame, exists, otherwise w_max column. total proportion energy invested reproduction individual size \\(w\\) $$\\psi(w) = {\\tt maturity}(w){\\tt repro\\_prop}(w)$$","code":""},{"path":"https://sizespectrum.org/mizer/reference/setReproduction.html","id":"reproductive-efficiency","dir":"Reference","previous_headings":"","what":"Reproductive efficiency","title":"Set reproduction parameters — setReproduction","text":"reproductive efficiency \\(\\epsilon\\), .e., proportion energy allocated reproduction results egg biomass, set erepro column species_params data frame. provided, default set 1 (want override). offspring biomass divided egg biomass gives rate egg production, returned getRDI(): $$R_{di} = \\frac{\\epsilon}{2 w_{min}} \\int N(w)  E_r(w) \\psi(w) \\, dw$$","code":""},{"path":"https://sizespectrum.org/mizer/reference/setReproduction.html","id":"density-dependence","dir":"Reference","previous_headings":"","what":"Density dependence","title":"Set reproduction parameters — setReproduction","text":"stock-recruitment relationship emergent phenomenon mizer, several sources density dependence. Firstly, amount energy invested reproduction depends energy income spawners, density-dependent due competition prey. Secondly, proportion larvae grow recruitment size depends larval mortality, depends density predators, larval growth rate, depends density prey. Finally, encode density dependence stock-recruitment relationship already included two sources density dependence, mizer puts density-independent rate egg production density-dependence function. result returned getRDD(). name density-dependence function specified RDD argument. default Beverton-Holt function BevertonHoltRDD(), requires R_max column species_params data frame giving maximum egg production rate. column exist, initialised Inf, leading density-dependence. functions provided mizer RickerRDD() SheperdRDD() can easily use models writing functions.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/setReproduction.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Set reproduction parameters — setReproduction","text":"","code":"# \\donttest{ # Plot maturity and reproduction ogives for Cod in North Sea model maturity <- getMaturityProportion(NS_params)[\"Cod\", ] repro_prop <- getReproductionProportion(NS_params)[\"Cod\", ] df <- data.frame(Size = w(NS_params),                  Reproduction = repro_prop,                  Maturity = maturity,                  Total = maturity * repro_prop) dff <- melt(df, id.vars = \"Size\",             variable.name = \"Type\",             value.name = \"Proportion\") library(ggplot2) ggplot(dff) + geom_line(aes(x = Size, y = Proportion, colour = Type))  # }"},{"path":"https://sizespectrum.org/mizer/reference/setResource.html","id":null,"dir":"Reference","previous_headings":"","what":"Set resource dynamics — setResource","title":"Set resource dynamics — setResource","text":"Sets intrinsic resource birth rate intrinsic resource carrying capacity well name function used simulate resource dynamics. default, birth rate carrying capacity changed together way resource replenishes rate consumed. provide either resource_rate resource_capacity (resource_level) determined requirement resource replenishes rate consumed.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setResource.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Set resource dynamics — setResource","text":"","code":"setResource(   params,   resource_rate = NULL,   resource_capacity = NULL,   resource_level = NULL,   resource_dynamics = NULL,   balance = NULL,   lambda = resource_params(params)[[\"lambda\"]],   n = resource_params(params)[[\"n\"]],   w_pp_cutoff = resource_params(params)[[\"w_pp_cutoff\"]],   r_pp = deprecated(),   kappa = deprecated(),   ... )  resource_rate(params)  resource_rate(params) <- value  resource_capacity(params)  resource_capacity(params) <- value  resource_level(params)  resource_level(params) <- value  resource_dynamics(params)  resource_dynamics(params) <- value"},{"path":"https://sizespectrum.org/mizer/reference/setResource.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Set resource dynamics — setResource","text":"params MizerParams object resource_rate Optional. vector per-capita resource birth rate size class single number giving coefficient power-law rate, see \"Setting resource dynamics\" . Must strictly positive. resource_capacity Optional. Vector resource intrinsic carrying capacities coefficient power-law capacity, see \"Setting resource dynamics\" . resource capacity must larger resource abundance. resource_level Optional. ratio current resource number density resource capacity. Either number used sizes vector specifying value size. Must strictly 0 1, except sizes resource zero, can NaN. determines resource capacity, specify resource_capacity. resource_dynamics Optional. Name function determines resource dynamics calculating resource spectrum next time step current state. balance default, possible, resource parameters set resource replenishes rate consumed. case specify either resource rate resource capacity (resource level) determined automatically. Set FALSE want balancing. lambda Used set power-law exponent resource capacity resource_capacity argument given single number. n Used set power-law exponent resource rate resource_rate argument given single number. w_pp_cutoff upper cut size resource spectrum power law used resource_capacity given single number. changing w_pp_cutoff without providing resource_capacity, cutoff can decreased. case, carrying capacity initial resource abundance cut new value. increase cutoff, must also provide resource_capacity extended range. r_pp . Use resource_rate argument instead. kappa . Use resource_capacity argument instead. ... Unused value desired new value respective parameter.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setResource.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Set resource dynamics — setResource","text":"setResource: MizerParams object updated resource parameters vector intrinsic resource birth rate size class. vector intrinsic resource capacity size class. vector ratio current resource number density resource capacity size class. name function determines resource dynamics.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setResource.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Set resource dynamics — setResource","text":"usually set resource dynamics finished calibration steady state. setting resource dynamics function preserve steady state, unless explicitly choose set balance = FALSE. choice resource dynamics affects dynamics around steady state. higher resource rate lower resource capacity less sensitive model changes competition resource. provide resource_level sets resource_capacity current resource number density divided resource level. case specify resource_capacity well. provide none arguments resource_level, resource_rate resource_capacity resource rate kept previous value.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setResource.html","id":"setting-resource-dynamics","dir":"Reference","previous_headings":"","what":"Setting resource dynamics","title":"Set resource dynamics — setResource","text":"resource_dynamics argument allows choose resource dynamics function. default, mizer uses semichemostat model describe resource dynamics size class independently. semichemostat dynamics implemented function resource_semichemostat(). can change use logistic model implemented resource_logistic() can use resource_constant() keeps resource constant can write function. resource_semichemostat() resource_logistic() dynamics parametrised terms size-dependent birth rate \\(r_R(w)\\) size-dependent capacity \\(c_R\\). help pages functions give details. resource_rate argument can vector (length w_full(params)) specifying intrinsic resource birth rate size class. Alternatively can single number used coefficient power law: intrinsic birth rate \\(r_R(w)\\) size \\(w\\) set $$r_R(w) = r_R w^{n-1}.$$ power-law exponent \\(n\\) taken n argument. resource_capacity argument can vector specifying intrinsic resource carrying capacity size class. Alternatively can single number used coefficient truncated power law: intrinsic carrying capacity \\(c_R(w)\\) size \\(w\\) set $$c_R(w) = c_R\\, w^{-\\lambda}$$ \\(w\\) less w_pp_cutoff zero larger sizes. power-law exponent \\(\\lambda\\) taken lambda argument. values lambda, n w_pp_cutoff stored list resource_params slot MizerParams object can re-used automatically future. list can accessed resource_params().","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/setResource.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Set resource dynamics — setResource","text":"","code":"params <- NS_params resource_dynamics(params) #> [1] \"resource_semichemostat\" resource_dynamics(params) <- \"resource_constant\""},{"path":"https://sizespectrum.org/mizer/reference/setRmax.html","id":null,"dir":"Reference","previous_headings":"","what":"Alias for setBevertonHolt() — setRmax","title":"Alias for setBevertonHolt() — setRmax","text":"alias provided backward compatibility mizer version <= 2.0.4","code":""},{"path":"https://sizespectrum.org/mizer/reference/setRmax.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Alias for setBevertonHolt() — setRmax","text":"","code":"setRmax(params, R_factor = deprecated(), erepro, R_max, reproduction_level)"},{"path":"https://sizespectrum.org/mizer/reference/setRmax.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Alias for setBevertonHolt() — setRmax","text":"params MizerParams object R_factor Use reproduction_level = 1 / R_factor instead. erepro Reproductive efficiency species. See details. R_max Maximum reproduction rate. See details. reproduction_level Sets R_max reproduction rate initial state R_max * reproduction_level.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setRmax.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Alias for setBevertonHolt() — setRmax","text":"MizerParams object","code":""},{"path":"https://sizespectrum.org/mizer/reference/setRmax.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Alias for setBevertonHolt() — setRmax","text":"Beverton-Holt density dependence relation energy invested reproduction number eggs hatched determined two parameters: reproductive efficiency erepro maximum reproduction rate R_max. maximum imposed reproduction rate (\\(R_{max} = \\infty\\)) resulting density-independent reproduction rate \\(R_{di}\\) proportional total rate \\(E_R\\) energy invested reproduction, $$R_{di} = \\frac{\\rm{erepro}}{2 w_{min}} E_R,$$ proportionality factor given reproductive efficiency erepro divided egg size w_min convert energy egg number divided 2 account two sexes. Imposing finite maximum reproduction rate \\(R_{max}\\) leads non-linear relationship energy invested eggs hatched. density-dependent reproduction rate \\(R_{dd}\\) given $$R_{dd} = R_{di} \\frac{R_{max}}{R_{di} + R_{max}}.$$ (quantities equations species-specific dropped species index simplicity.) following plot illustrates Beverton-Holt density dependence reproduction rate two different choices parameters. plot shows given energy \\(E_R\\) invested reproduction can lead reproduction rate \\(R_{dd}\\) different choices parameters R_max erepro. R_max determines asymptote curve erepro initial slope. higher R_max coupled lower erepro (black curves) can give value lower R_max coupled higher erepro (blue curves). given initial state MizerParams object params one can calculate energy \\(E_R\\) invested reproduction mature individuals reproduction rate \\(R_{dd}\\) required keep egg abundance constant. two values determine location black dot graph. need one parameter select one curve family Beverton-Holt curves going point. parameter can erepro R_max. Instead R_max can alternatively specify reproduction_level ratio density-dependent reproduction rate \\(R_{dd}\\) maximal reproduction rate  \\(R_{max}\\). provide value reproduction parameter arguments, erepro set value current species parameter data frame. provide one reproduction parameters, can either vector one value species, named vector names determine species affected, single unnamed value used species. species given value NA remain unaffected. values R_max must larger \\(R_{dd}\\) can range Inf. smaller value requested warning issued value increased value required reproduction level 0.99. values reproduction_level must positive less 1. values erepro must large enough allow required reproduction rate. smaller value requested warning issued value increased smallest possible value. values erepro also smaller 1 physiologically sensible, enforced function. can seen graph , choosing lower value R_max higher value erepro means near steady state reproduction less sensitive change energy invested reproduction hence less sensitive changes spawning stock biomass energy income. result species also less sensitive fishing, leading higher F_MSY.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setRmax.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Alias for setBevertonHolt() — setRmax","text":"","code":"params <- NS_params species_params(params)$erepro #>  [1] 1 1 1 1 1 1 1 1 1 1 1 1 # Attempting to set the same erepro for all species params <- setBevertonHolt(params, erepro = 0.1) #> Warning: For the following species `erepro` has been increased to the smallest possible value: erepro[Gurnard] = 0.558; erepro[Plaice] = 0.921 t(species_params(params)[, c(\"erepro\", \"R_max\")]) #>               Sprat      Sandeel       N.pout      Herring          Dab #> erepro 1.000000e-01 1.000000e-01 1.000000e-01 1.000000e-01 1.000000e-01 #> R_max  8.071481e+11 4.112049e+11 3.472063e+13 1.197577e+12 1.167176e+10 #>            Whiting         Sole   Gurnard    Plaice      Haddock          Cod #> erepro 1.00000e-01 1.000000e-01 0.5582259 0.9212325 1.000000e-01          0.1 #> R_max  6.22081e+11 4.007876e+10       Inf       Inf 3.929056e+12 8280106764.0 #>              Saithe #> erepro 1.000000e-01 #> R_max  1.145835e+11 # Setting erepro for some species params <- setBevertonHolt(params, erepro = c(\"Gurnard\" = 0.6, \"Plaice\" = 0.95)) t(species_params(params)[, c(\"erepro\", \"R_max\")]) #>               Sprat      Sandeel       N.pout      Herring          Dab #> erepro 1.000000e-01 1.000000e-01 1.000000e-01 1.000000e-01 1.000000e-01 #> R_max  8.071481e+11 4.112049e+11 3.472063e+13 1.197577e+12 1.167176e+10 #>            Whiting         Sole      Gurnard       Plaice      Haddock #> erepro 1.00000e-01 1.000000e-01 6.000000e-01 9.500000e-01 1.000000e-01 #> R_max  6.22081e+11 4.007876e+10 1.047481e+13 1.082568e+15 3.929056e+12 #>                 Cod       Saithe #> erepro          0.1 1.000000e-01 #> R_max  8280106764.0 1.145835e+11 # Setting R_max R_max <- 1e17 * species_params(params)$w_max^-1 params <- setBevertonHolt(NS_params, R_max = R_max) #> Warning: The following species require an unrealistic value greater than 1 for `erepro`: Plaice t(species_params(params)[, c(\"erepro\", \"R_max\")]) #>               Sprat      Sandeel       N.pout      Herring          Dab #> erepro 9.274305e-03 1.297184e-04 7.257409e-02 8.045063e-03 4.224791e-03 #> R_max  3.030303e+15 2.777778e+15 1.000000e+15 2.994012e+14 3.086420e+14 #>             Whiting         Sole      Gurnard       Plaice      Haddock #> erepro 1.292557e-02 3.571380e-03 5.609587e-01 3.773957e+01 6.020565e-02 #> R_max  8.389262e+13 1.154734e+14 1.497006e+14 3.360215e+13 2.316692e+13 #>                 Cod       Saithe #> erepro 6.375069e-05 2.433424e-03 #> R_max  2.509328e+12 2.521521e+12 # Setting reproduction_level params <- setBevertonHolt(params, reproduction_level = 0.3) #> Warning: The following species require an unrealistic value greater than 1 for `erepro`: Plaice t(species_params(params)[, c(\"erepro\", \"R_max\")]) #>               Sprat      Sandeel       N.pout      Herring          Dab #> erepro 1.324581e-02 1.852847e-04 1.026645e-01 1.145066e-02 6.035197e-03 #> R_max  2.441029e+12 1.368905e+12 3.256200e+13 3.671952e+12 3.726224e+10 #>             Whiting         Sole      Gurnard       Plaice      Haddock #> erepro 1.834577e-02 5.100263e-03 7.974655e-01 1.316046e+00 7.954325e-02 #> R_max  1.807310e+12 1.288262e+11 2.430980e+12 1.092730e+14 5.804489e+12 #>                 Cod       Saithe #> erepro 9.077210e-05 3.322021e-03 #> R_max  2.758282e+10 3.730633e+11"},{"path":"https://sizespectrum.org/mizer/reference/setSearchVolume.html","id":null,"dir":"Reference","previous_headings":"","what":"Set search volume — setSearchVolume","title":"Set search volume — setSearchVolume","text":"Set search volume","code":""},{"path":"https://sizespectrum.org/mizer/reference/setSearchVolume.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Set search volume — setSearchVolume","text":"","code":"setSearchVolume(params, search_vol = NULL, reset = FALSE, ...)  getSearchVolume(params)  search_vol(params)  search_vol(params) <- value"},{"path":"https://sizespectrum.org/mizer/reference/setSearchVolume.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Set search volume — setSearchVolume","text":"params MizerParams search_vol Optional. array (species x size) holding search volume species size. supplied, default set described section \"Setting search volume\". reset set TRUE, search volume reset value calculated species parameters, even previously overwritten custom value. set FALSE (default) recalculation species parameters take place custom value set. ... Unused value search_vol","code":""},{"path":"https://sizespectrum.org/mizer/reference/setSearchVolume.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Set search volume — setSearchVolume","text":"setSearchVolume(): MizerParams object updated search volume. getSearchVolume() equivalently search_vol(): array (species x size) holding search volume","code":""},{"path":"https://sizespectrum.org/mizer/reference/setSearchVolume.html","id":"setting-search-volume","dir":"Reference","previous_headings":"","what":"Setting search volume","title":"Set search volume — setSearchVolume","text":"search volume \\(\\gamma_i(w)\\) individual species \\(\\) weight \\(w\\) multiplies predation kernel calculating encounter rate getEncounter() predation rate getPredRate(). name \"search volume\" bit misleading, \\(\\gamma_i(w)\\) units volume. simply parameter determines rate predation. units depend choice, see section \"Units mizer\". chosen work total abundances, rate units 1/year. chosen work abundances per m^2 units m^2/year. chosen work abundances per m^3 units m^3/year. search_vol argument supplied, search volume set $$\\gamma_i(w) = \\gamma_i w^q_i.$$ values \\(\\gamma_i\\) (search volume 1g) \\(q_i\\) (allometric exponent search volume) taken gamma q columns species parameter dataframe. gamma column supplied species parameter dataframe, default calculated get_gamma_default() function. Note predators size \\(w = 1\\) gram value species parameter \\(\\gamma_i\\) value search volume \\(\\gamma_i(w)\\).","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/set_community_model.html","id":null,"dir":"Reference","previous_headings":"","what":"Deprecated function for setting up parameters for a community-type model — set_community_model","title":"Deprecated function for setting up parameters for a community-type model — set_community_model","text":"function deprecated favour function newCommunityParams() sets better default values.","code":""},{"path":"https://sizespectrum.org/mizer/reference/set_community_model.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Deprecated function for setting up parameters for a community-type model — set_community_model","text":"","code":"set_community_model(   max_w = 1e+06,   min_w = 0.001,   min_w_pp = 1e-10,   z0 = 0.1,   alpha = 0.2,   h = 10,   beta = 100,   sigma = 2,   q = 0.8,   n = 2/3,   kappa = 1000,   lambda = 2 + q - n,   f0 = 0.7,   r_pp = 10,   gamma = NA,   knife_edge_size = 1000,   knife_is_min = TRUE,   recruitment = kappa * min_w^-lambda,   rec_mult = 1,   ... )"},{"path":"https://sizespectrum.org/mizer/reference/set_community_model.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Deprecated function for setting up parameters for a community-type model — set_community_model","text":"max_w maximum size community. w_inf species used represent community set value. default value 1e6. min_w minimum size community. Default value 1e-3. min_w_pp smallest size resource spectrum. z0 background mortality community. Default value 0.1. alpha assimilation efficiency community. Default value 0.2 h maximum food intake rate. Default value 10. beta preferred predator prey mass ratio. Default value 100. sigma width prey preference. Default value 2.0. q search volume exponent. Default value 0.8. n scaling intake. Default value 2/3. kappa carrying capacity resource spectrum. Default value 1000. lambda exponent resource spectrum. Default value 2 + q - n. f0 average feeding level individuals feed power-law spectrum. value used calculate search rate parameter gamma (see package vignette). Default value 0.7. r_pp Growth rate parameter resource spectrum. Default value 10. gamma Volumetric search rate. Estimated using h, f0 kappa supplied. knife_edge_size size edge knife-selectivity function. Default value 1000. knife_is_min knife-edge selectivity function selecting (TRUE) (FALSE) edge. Default TRUE. recruitment constant recruitment smallest size class community spectrum. set community spectrum continues resource spectrum. Default value = kappa * min_w^-lambda. rec_mult Additional multiplier constant recruitment. Default value 1. ... arguments pass MizerParams constructor.","code":""},{"path":"https://sizespectrum.org/mizer/reference/set_community_model.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Deprecated function for setting up parameters for a community-type model — set_community_model","text":"object type MizerParams","code":""},{"path":"https://sizespectrum.org/mizer/reference/set_community_model.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Deprecated function for setting up parameters for a community-type model — set_community_model","text":"functions creates MizerParams object community-type models can easily set run. community model several features distinguish food-web type models. one 'species' resolved, .e. one 'species' used represent whole community. resource spectrum extends start community spectrum. Recruitment smallest size community spectrum constant set user. recruitment constant, proportion energy invested reproduction (slot psi returned MizerParams object) set 0. Standard metabolism turned (parameter ks set 0). Consequently, growth rate now determined solely assimilated food (see package vignette details). function many arguments, default values. main arguments users concerned z0, recruitment, alpha f0 determine average growth rate community. Fishing selectivity modelled knife-edge function one parameter, knife_edge_size, determines size species selected. resulting MizerParams object can projected forward using project() like MizerParams object. projecting community model may necessary keep small time step size dt around 0.1 avoid instabilities solver. can check numerical instabilities plotting biomass abundance time projection.","code":""},{"path":"https://sizespectrum.org/mizer/reference/set_community_model.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Deprecated function for setting up parameters for a community-type model — set_community_model","text":"K. H. Andersen,J. E. Beyer P. Lundberg, 2009, Trophic individual efficiencies size-structured communities, Proceedings Royal Society, 276, 109-114","code":""},{"path":"https://sizespectrum.org/mizer/reference/set_community_model.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Deprecated function for setting up parameters for a community-type model — set_community_model","text":"","code":"# \\donttest{ params <- set_community_model(f0=0.7, z0=0.2, recruitment=3e7) #> Warning: `set_community_model()` was deprecated in mizer 2.0.0. #> ℹ Please use `newCommunityParams()` instead. #> Note: No m column in species data frame so using m = 1. #> Warning: For the species Community the value for `w_mat` is not smaller than that of `w_max`. I have corrected that by setting it to 25% of `w_max. #> Warning: For the species Community the value for `w_mat` is not smaller than that of `w_max`. I have corrected that by setting it to 25% of `w_max. # This is now achieved with params <- newCommunityParams(f0 = 0.7, z0 = 0.2) sim <- project(params, effort = 0, t_max = 100, dt=0.1) plotBiomass(sim)  plotSpectra(sim)  # }"},{"path":"https://sizespectrum.org/mizer/reference/set_multispecies_model.html","id":null,"dir":"Reference","previous_headings":"","what":"Deprecated obsolete function for setting up multispecies parameters — set_multispecies_model","title":"Deprecated obsolete function for setting up multispecies parameters — set_multispecies_model","text":"function deprecated favour function newMultispeciesParams() sets better default values.","code":""},{"path":"https://sizespectrum.org/mizer/reference/set_multispecies_model.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Deprecated obsolete function for setting up multispecies parameters — set_multispecies_model","text":"","code":"set_multispecies_model(   species_params,   interaction = matrix(1, nrow = nrow(species_params), ncol = nrow(species_params)),   min_w_pp = 1e-10,   min_w = 0.001,   max_w = NULL,   no_w = 100,   n = 2/3,   q = 0.8,   f0 = 0.6,   kappa = 1e+11,   lambda = 2 + q - n,   r_pp = 10,   ... )"},{"path":"https://sizespectrum.org/mizer/reference/set_multispecies_model.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Deprecated obsolete function for setting up multispecies parameters — set_multispecies_model","text":"species_params data frame species-specific parameter values. interaction Optional interaction matrix species (predator species x prey species). default entries 1. See \"Setting interaction matrix\" section . min_w_pp smallest size resource spectrum. default set smallest value consumers can feed. min_w Sets size eggs species given w_min column species_params dataframe. max_w largest size consumer spectrum. default set largest w_max specified species_params data frame. no_w number size bins consumer spectrum. n allometric growth exponent. can overruled individual species including n column species_params. q Allometric exponent search volume f0 Expected average feeding level. Used set gamma, coefficient search rate. Ignored gamma given explicitly. kappa coefficient initial resource abundance power-law. lambda Used set power-law exponent resource capacity resource_capacity argument given single number. r_pp . Use resource_rate argument instead. ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/set_multispecies_model.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Deprecated obsolete function for setting up multispecies parameters — set_multispecies_model","text":"MizerParams object","code":""},{"path":"https://sizespectrum.org/mizer/reference/set_species_param_default.html","id":null,"dir":"Reference","previous_headings":"","what":"Set a species parameter to a default value — set_species_param_default","title":"Set a species parameter to a default value — set_species_param_default","text":"species parameter yet exist species parameter data frame, create fill default. Otherwise use default fill NAs. Optionally gives message parameter already exist.","code":""},{"path":"https://sizespectrum.org/mizer/reference/set_species_param_default.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Set a species parameter to a default value — set_species_param_default","text":"","code":"set_species_param_default(object, parname, default, message = NULL)"},{"path":"https://sizespectrum.org/mizer/reference/set_species_param_default.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Set a species parameter to a default value — set_species_param_default","text":"object Either MizerParams object species parameter data frame parname string name species parameter set default single default value vector one default value species message string message issued parameter already exist","code":""},{"path":"https://sizespectrum.org/mizer/reference/set_species_param_default.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Set a species parameter to a default value — set_species_param_default","text":"object updated column species params data frame.","code":""},{"path":"https://sizespectrum.org/mizer/reference/set_trait_model.html","id":null,"dir":"Reference","previous_headings":"","what":"Deprecated function for setting up parameters for a trait-based model — set_trait_model","title":"Deprecated function for setting up parameters for a trait-based model — set_trait_model","text":"function deprecated favour function newTraitParams() sets better default values.","code":""},{"path":"https://sizespectrum.org/mizer/reference/set_trait_model.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Deprecated function for setting up parameters for a trait-based model — set_trait_model","text":"","code":"set_trait_model(   no_sp = 10,   min_w_inf = 10,   max_w_inf = 1e+05,   no_w = 100,   min_w = 0.001,   max_w = max_w_inf * 1.1,   min_w_pp = 1e-10,   w_pp_cutoff = 1,   k0 = 50,   n = 2/3,   p = 0.75,   q = 0.9,   eta = 0.25,   r_pp = 4,   kappa = 0.005,   lambda = 2 + q - n,   alpha = 0.6,   ks = 4,   z0pre = 0.6,   h = 30,   beta = 100,   sigma = 1.3,   f0 = 0.5,   gamma = NA,   knife_edge_size = 1000,   gear_names = \"knife_edge_gear\",   ... )"},{"path":"https://sizespectrum.org/mizer/reference/set_trait_model.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Deprecated function for setting up parameters for a trait-based model — set_trait_model","text":"no_sp number species model. default value 10. species, longer takes run. min_w_inf asymptotic size smallest species community. max_w_inf asymptotic size largest species community. no_w number size bins community spectrum. min_w smallest size community spectrum. max_w Obsolete argument maximum size consumer spectrum set max_w_inf. min_w_pp Obsolete argument smallest resource size set smallest size consumers feed. w_pp_cutoff cut size resource spectrum. Default value 1. k0 Multiplier maximum recruitment. Default value 50. n Scaling intake. Default value 2/3. p Scaling standard metabolism. Default value 0.75. q Exponent search volume. Default value 0.9. eta Factor calculate w_mat asymptotic size. r_pp Growth rate parameter resource spectrum. Default value 4. kappa Coefficient abundance power law. Default value 0.005. lambda Exponent abundance power law. Default value (2+q-n). alpha assimilation efficiency community. default value 0.6 ks Standard metabolism coefficient. Default value 4. z0pre coefficient background mortality community. z0 = z0pre * w_inf ^ (n-1). default value 0.6. h Maximum food intake rate. Default value 30. beta Preferred predator prey mass ratio. Default value 100. sigma Width prey size preference. Default value 1.3. f0 Expected average feeding level. Used set gamma, factor search volume. default value 0.5. gamma Volumetric search rate. Estimated using h, f0 kappa supplied. knife_edge_size minimum size gear gears select species. Must length 1 no_sp. gear_names names fishing gears. character vector, length number species. Default 1 - no_sp. ... arguments pass MizerParams constructor.","code":""},{"path":"https://sizespectrum.org/mizer/reference/set_trait_model.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Deprecated function for setting up parameters for a trait-based model — set_trait_model","text":"object type MizerParams","code":""},{"path":"https://sizespectrum.org/mizer/reference/set_trait_model.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Deprecated function for setting up parameters for a trait-based model — set_trait_model","text":"functions creates MizerParams object trait-based-type models can easily set run. trait-based size spectrum model can derived simplification general size-based model used mizer. species-specific parameters species, except asymptotic size, considered important trait characterizing species. parameters related asymptotic size. example, size maturity given w_max * eta, eta species. trait-based model number species important. applications trait-based model see Andersen & Pedersen (2010). See mizer vignette details examples trait-based model. function many arguments, default values. particular interest user number species model minimum maximum asymptotic sizes. asymptotic sizes species spread evenly logarithmic scale within range. stock recruitment relationship default Beverton-Holt style. maximum recruitment calculated using equilibrium theory (see Andersen & Pedersen, 2010) multiplier, k0. Users adjust k0 get spectra want. factor search volume, gamma, calculated using expected feeding level, f0. Fishing selectivity modelled knife-edge function one parameter, knife_edge_size, size species selected. species can either fished gear (knife_edge_size length 1) different gear (length knife_edge_size length number species order selectivity size asymptotic size). resulting MizerParams object can projected forward using project like MizerParams object. projecting community model may necessary reduce dt 0.1 avoid instabilities solver. can check plotting biomass abundance time projection.","code":""},{"path":"https://sizespectrum.org/mizer/reference/set_trait_model.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Deprecated function for setting up parameters for a trait-based model — set_trait_model","text":"K. H. Andersen M. Pedersen, 2010, Damped trophic cascades driven fishing model marine ecosystems. Proceedings Royal Society V, Biological Sciences, 1682, 795-802.","code":""},{"path":"https://sizespectrum.org/mizer/reference/sigmoid_length.html","id":null,"dir":"Reference","previous_headings":"","what":"Length based sigmoid selectivity function — sigmoid_length","title":"Length based sigmoid selectivity function — sigmoid_length","text":"sigmoid shaped selectivity function. Based two parameters l25 l50 determine length 25% 50% stock selected respectively.","code":""},{"path":"https://sizespectrum.org/mizer/reference/sigmoid_length.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Length based sigmoid selectivity function — sigmoid_length","text":"","code":"sigmoid_length(w, l25, l50, species_params, ...)"},{"path":"https://sizespectrum.org/mizer/reference/sigmoid_length.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Length based sigmoid selectivity function — sigmoid_length","text":"w Vector sizes. l25 length gives selectivity 25%. l50 length gives selectivity 50%. species_params list species params current species. Used get length-weight parameters b. ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/sigmoid_length.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Length based sigmoid selectivity function — sigmoid_length","text":"Vector selectivities given sizes.","code":""},{"path":"https://sizespectrum.org/mizer/reference/sigmoid_length.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Length based sigmoid selectivity function — sigmoid_length","text":"selectivity given logistic function $$S(l) = \\frac{1}{1 + \\exp\\left(\\log(3)\\frac{l50 -l}{l50 - l25}\\right)}$$ mizer model weight based, selectivity function length based, uses length-weight parameters b convert length weight $$l = \\left(\\frac{w}{}\\right)^{1/b}$$","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/sigmoid_weight.html","id":null,"dir":"Reference","previous_headings":"","what":"Weight based sigmoidal selectivity function — sigmoid_weight","title":"Weight based sigmoidal selectivity function — sigmoid_weight","text":"sigmoidal selectivity function 50% selectivity weight sigmoidal_weight \\(=w_{\\text{sigmoid}}\\) width sigmoidal_sigma \\(=\\sigma\\). $$S(w) = \\left(1 + \\left(\\frac{w}{w_{\\text{sigmoid}}}\\right)^{-\\sigma}\\right)^{-1}$$","code":""},{"path":"https://sizespectrum.org/mizer/reference/sigmoid_weight.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Weight based sigmoidal selectivity function — sigmoid_weight","text":"","code":"sigmoid_weight(w, sigmoidal_weight, sigmoidal_sigma, ...)"},{"path":"https://sizespectrum.org/mizer/reference/sigmoid_weight.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Weight based sigmoidal selectivity function — sigmoid_weight","text":"w Vector sizes. sigmoidal_weight weight knife-edge operates. sigmoidal_sigma width selection function. ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/sigmoid_weight.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Weight based sigmoidal selectivity function — sigmoid_weight","text":"Vector selectivities given sizes.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/species_params.html","id":null,"dir":"Reference","previous_headings":"","what":"Species parameters — species_params","title":"Species parameters — species_params","text":"functions allow get set species-specific parameters stored MizerParams object.","code":""},{"path":"https://sizespectrum.org/mizer/reference/species_params.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Species parameters — species_params","text":"","code":"species_params(params)  species_params(params) <- value  given_species_params(params)  given_species_params(params) <- value  calculated_species_params(params)"},{"path":"https://sizespectrum.org/mizer/reference/species_params.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Species parameters — species_params","text":"params MizerParams object value data frame species parameters","code":""},{"path":"https://sizespectrum.org/mizer/reference/species_params.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Species parameters — species_params","text":"Data frame species parameters","code":""},{"path":"https://sizespectrum.org/mizer/reference/species_params.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Species parameters — species_params","text":"lot species parameters list , sensible default values. required columns species species name w_max maximum size. However information values parameters provide . Mizer distinguishes species parameters given explicitly species parameters calculated mizer set default values. can retrieve given species parameters given_species_params() calculated ones calculated_species_params(). get species_params species_params(). change given species parameters given_species_params<-() trigger re-calculation calculated species parameters, necessary. However change species parameters species_params<-() recalculation take place furthermore values overwritten future recalculation triggered call given_species_params<-() . use cases want use given_species_params<-(). species parameters used set size-dependent parameters used mizer model: gamma q used set search volume, see setSearchVolume(). h n used set maximum intake rate, see setMaxIntakeRate(). k, ks p used set activity basic metabolic rate, see setMetabolicRate(). z0 used set external mortality rate, see setExtMort(). w_mat, w_mat25, w_repro_max m used set allocation reproduction, see setReproduction(). pred_kernel_type specifies shape predation kernel. default \"lognormal\", options see \"Setting predation kernel\" section help setPredKernel(). beta sigma parameters lognormal predation kernel, see lognormal_pred_kernel(). parameters using predation kernel functions. change one species parameters using given_species_params<-() species_params<-(), new value used update corresponding size-dependent rates automatically, unless set size-dependent rates manually, case corresponding species parameters ignored. species parameters used directly model rather used setting size-dependent parameters: alpha assimilation efficiency, proportion consumed biomass can used growth, metabolism reproduction, see help getEReproAndGrowth(). w_min egg size. interaction_resource sets interaction strength resource, see \"Predation encounter\" section help getEncounter(). erepro reproductive efficiency, proportion energy invested reproduction converted egg biomass, see getRDI(). Rmax parameter Beverton-Holt density dependence added reproduction, see setBevertonHolt(). parameters use density dependence functions, see \"Density dependence\" section help setReproduction(). Two parameters used functions need convert weight length: b parameters allometric weight-length relationship \\(w = l ^ b\\). supplied b parameters, can replace weight parameters like w_max, w_mat, w_mat25, w_repro_max w_min corresponding length parameters l_max, l_mat, l_mat25, l_repro_max l_min. parameters used calculate default values parameters : f0 feeding level used get default value coefficient search volume gamma, see get_gamma_default(). fc critical feeding level species can maintain . used get default value coefficient ks metabolic rate, see get_ks_default(). age_mat age maturity used get default value coefficient h maximum intake rate, see get_h_default(). Note setting parameters species_params<-() effect. need set given_species_params<-() order trigger re-calculation species parameters. past, mizer also used von Bertalanffy parameters k_vb, w_inf t0 determine default h. unreliable therefore now deprecated. species parameters used tuning model observations: biomass_observed biomass_cutoff allow specify species total observed biomass cutoff size. used calibrateBiomass() matchBiomasses(). yield_observed allows specify species total annual fisheries yield. used calibrateYield() matchYields(). Finally two species parameters control way species represented plots: linecolour specifies colour can valid R colour value. linetype specifies line type (\"solid\", \"dashed\", \"dotted\", \"dotdash\", \"longdash\", \"twodash\" \"blank\") species-specific information related species fished specified gear parameter data frame, see gear_params(). However case species caught single gear, information can also optionally provided species parameters newMultispeciesParams() transfer gear_params data frame. However changing parameters later species parameter data frames effect. allowed include additional columns species parameter data frames. simply ignored mizer stored MizerParams object, case code makes use .","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/steady.html","id":null,"dir":"Reference","previous_headings":"","what":"Set initial values to a steady state for the model — steady","title":"Set initial values to a steady state for the model — steady","text":"steady state found running dynamics keeping reproduction, resource components constant size spectra longer change much (time t_max reached, earlier).","code":""},{"path":"https://sizespectrum.org/mizer/reference/steady.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Set initial values to a steady state for the model — steady","text":"","code":"steady(   params,   t_max = 100,   t_per = 1.5,   dt = 0.1,   tol = 0.1 * dt,   return_sim = FALSE,   preserve = c(\"reproduction_level\", \"erepro\", \"R_max\"),   progress_bar = TRUE )"},{"path":"https://sizespectrum.org/mizer/reference/steady.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Set initial values to a steady state for the model — steady","text":"params MizerParams object t_max maximum number years run simulation. Default 100. t_per simulation broken shorter runs t_per years, check convergence. Default value 1.5. chosen odd multiple timestep dt order able detect period 2 cycles. dt time step use project(). tol simulation stops relative change egg production RDI t_per years less tol every species. return_sim TRUE, function returns MizerSim object holding result simulation run, saved intervals t_per. FALSE (default) function returns MizerParams object \"initial\" slots set steady state. preserve Specifies whether reproduction_level preserved (default) maximum reproduction rate R_max reproductive efficiency erepro. See setBevertonHolt() explanation reproduction_level. progress_bar shiny progress object implement progress bar shiny app. Default FALSE.","code":""},{"path":"https://sizespectrum.org/mizer/reference/steady.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Set initial values to a steady state for the model — steady","text":"MizerParams MizerSim object","code":""},{"path":"https://sizespectrum.org/mizer/reference/steady.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Set initial values to a steady state for the model — steady","text":"model use Beverton-Holt reproduction reproduction parameters set values give level reproduction observed steady state. preserve argument can used specify reproduction parameters preserved.","code":""},{"path":"https://sizespectrum.org/mizer/reference/steady.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Set initial values to a steady state for the model — steady","text":"","code":"# \\donttest{ params <- newTraitParams() species_params(params)$gamma[5] <- 3000 params <- steady(params) #> Convergence was achieved in 12 years. plotSpectra(params)  # }"},{"path":"https://sizespectrum.org/mizer/reference/steadySingleSpecies.html","id":null,"dir":"Reference","previous_headings":"","what":"Set initial abundances to single-species steady state abundances — steadySingleSpecies","title":"Set initial abundances to single-species steady state abundances — steadySingleSpecies","text":"first calculates growth death rates arise current initial abundances. uses growth death rates determine steady-state abundances selected species.","code":""},{"path":"https://sizespectrum.org/mizer/reference/steadySingleSpecies.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Set initial abundances to single-species steady state abundances — steadySingleSpecies","text":"","code":"steadySingleSpecies(   params,   species = NULL,   keep = c(\"egg\", \"biomass\", \"number\") )"},{"path":"https://sizespectrum.org/mizer/reference/steadySingleSpecies.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Set initial abundances to single-species steady state abundances — steadySingleSpecies","text":"params MizerParams object species species selected. Optional. default target species selected. vector species names, numeric vector species indices, logical vector indicating species whether selected (TRUE) . keep string determining quantity kept constant. choices \"egg\" keeps egg density constant, \"biomass\" keeps total biomass species constant \"number\" keeps total number individuals constant.","code":""},{"path":"https://sizespectrum.org/mizer/reference/steadySingleSpecies.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Set initial abundances to single-species steady state abundances — steadySingleSpecies","text":"MizerParams object initial abundances selected species changed single-species steady state abundances.","code":""},{"path":"https://sizespectrum.org/mizer/reference/steadySingleSpecies.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Set initial abundances to single-species steady state abundances — steadySingleSpecies","text":"result applying function course multi-species steady state, changing abundances selected species growth death rates changed.","code":""},{"path":"https://sizespectrum.org/mizer/reference/summary-MizerParams-method.html","id":null,"dir":"Reference","previous_headings":"","what":"Summarize MizerParams object — summary,MizerParams-method","title":"Summarize MizerParams object — summary,MizerParams-method","text":"Outputs general summary structure content object","code":""},{"path":"https://sizespectrum.org/mizer/reference/summary-MizerParams-method.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Summarize MizerParams object — summary,MizerParams-method","text":"","code":"# S4 method for class 'MizerParams' summary(object, ...)"},{"path":"https://sizespectrum.org/mizer/reference/summary-MizerParams-method.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Summarize MizerParams object — summary,MizerParams-method","text":"object MizerParams object. ... arguments (currently used).","code":""},{"path":"https://sizespectrum.org/mizer/reference/summary-MizerParams-method.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Summarize MizerParams object — summary,MizerParams-method","text":"MizerParams object, invisibly","code":""},{"path":"https://sizespectrum.org/mizer/reference/summary-MizerParams-method.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Summarize MizerParams object — summary,MizerParams-method","text":"","code":"summary(NS_params) #> An object of class \"MizerParams\"  #> Consumer size spectrum: #> \tminimum size:\t0.001 #> \tmaximum size:\t39851.3 #> \tno. size bins:\t100 #> Resource size spectrum: #> \tminimum size:\t2.12182e-13 #> \tmaximum size:\t9.82091 #> \tno. size bins:\t179\t(226 size bins in total) #> Species details: #>    species   w_max w_mat w_min  f0   beta sigma #> 1    Sprat    33.0    13 0.001 0.6  51076   0.8 #> 2  Sandeel    36.0     4 0.001 0.6 398849   1.9 #> 3   N.pout   100.0    23 0.001 0.6     22   1.5 #> 4  Herring   334.0    99 0.001 0.6 280540   3.2 #> 5      Dab   324.0    21 0.001 0.6    191   1.9 #> 6  Whiting  1192.0    75 0.001 0.6     22   1.5 #> 7     Sole   866.0    78 0.001 0.6    381   1.9 #> 8  Gurnard   668.0    39 0.001 0.6    283   1.8 #> 9   Plaice  2976.0   105 0.001 0.6    113   1.6 #> 10 Haddock  4316.5   165 0.001 0.6    558   2.1 #> 11     Cod 39851.3  1606 0.001 0.6     66   1.3 #> 12  Saithe 39658.6  1076 0.001 0.6     40   1.1 #>  #> Fishing gear details: #> Gear          Effort  Target species  #>  ---------------------------------- #> Industrial     0.00   Sprat, Sandeel, N.pout  #> Pelagic        1.00   Herring  #> Beam           0.50   Dab, Sole, Plaice  #> Otter          0.50   Whiting, Gurnard, Haddock, Cod, Saithe"},{"path":"https://sizespectrum.org/mizer/reference/summary-MizerSim-method.html","id":null,"dir":"Reference","previous_headings":"","what":"Summarize MizerSim object — summary,MizerSim-method","title":"Summarize MizerSim object — summary,MizerSim-method","text":"Outputs general summary structure content object","code":""},{"path":"https://sizespectrum.org/mizer/reference/summary-MizerSim-method.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Summarize MizerSim object — summary,MizerSim-method","text":"","code":"# S4 method for class 'MizerSim' summary(object, ...)"},{"path":"https://sizespectrum.org/mizer/reference/summary-MizerSim-method.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Summarize MizerSim object — summary,MizerSim-method","text":"object MizerSim object. ... arguments (currently used).","code":""},{"path":"https://sizespectrum.org/mizer/reference/summary-MizerSim-method.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Summarize MizerSim object — summary,MizerSim-method","text":"MizerSim object, invisibly","code":""},{"path":"https://sizespectrum.org/mizer/reference/summary-MizerSim-method.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Summarize MizerSim object — summary,MizerSim-method","text":"","code":"summary(NS_sim) #> An object of class \"MizerSim\"  #> Parameters: #> An object of class \"MizerParams\"  #> Consumer size spectrum: #> \tminimum size:\t0.001 #> \tmaximum size:\t39851.3 #> \tno. size bins:\t100 #> Resource size spectrum: #> \tminimum size:\t8.72744e-13 #> \tmaximum size:\t9.82091 #> \tno. size bins:\t171\t(218 size bins in total) #> Species details: #>    species   w_max w_mat w_min   beta sigma #> 1    Sprat    33.0    13 0.001  51076   0.8 #> 2  Sandeel    36.0     4 0.001 398849   1.9 #> 3   N.pout   100.0    23 0.001     22   1.5 #> 4  Herring   334.0    99 0.001 280540   3.2 #> 5      Dab   324.0    21 0.001    191   1.9 #> 6  Whiting  1192.0    75 0.001     22   1.5 #> 7     Sole   866.0    78 0.001    381   1.9 #> 8  Gurnard   668.0    39 0.001    283   1.8 #> 9   Plaice  2976.0   105 0.001    113   1.6 #> 10 Haddock  4316.5   165 0.001    558   2.1 #> 11     Cod 39851.3  1606 0.001     66   1.3 #> 12  Saithe 39658.6  1076 0.001     40   1.1 #>  #> Fishing gear details: #> Gear          Effort  Target species  #>  ---------------------------------- #> Sprat          0.00   Sprat  #> Sandeel        0.00   Sandeel  #> N.pout         0.00   N.pout  #> Herring        1.81   Herring  #> Dab            0.76   Dab  #> Whiting        0.63   Whiting  #> Sole           0.91   Sole  #> Gurnard        0.00   Gurnard  #> Plaice         0.76   Plaice  #> Haddock        0.56   Haddock  #> Cod            0.68   Cod  #> Saithe         0.53   Saithe  #> Simulation parameters: #> \tTime period: 1967 to 2010 #> \tOutput stored every 1 years"},{"path":"https://sizespectrum.org/mizer/reference/summary_functions.html","id":null,"dir":"Reference","previous_headings":"","what":"Description of summary functions — summary_functions","title":"Description of summary functions — summary_functions","text":"Mizer provides range functions summarise results simulation.","code":""},{"path":"https://sizespectrum.org/mizer/reference/summary_functions.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Description of summary functions — summary_functions","text":"list available summary functions given table .","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/truncated_lognormal_pred_kernel.html","id":null,"dir":"Reference","previous_headings":"","what":"Truncated lognormal predation kernel — truncated_lognormal_pred_kernel","title":"Truncated lognormal predation kernel — truncated_lognormal_pred_kernel","text":"like lognormal_pred_kernel() imposed maximum predator/prey mass ratio","code":""},{"path":"https://sizespectrum.org/mizer/reference/truncated_lognormal_pred_kernel.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Truncated lognormal predation kernel — truncated_lognormal_pred_kernel","text":"","code":"truncated_lognormal_pred_kernel(ppmr, beta, sigma)"},{"path":"https://sizespectrum.org/mizer/reference/truncated_lognormal_pred_kernel.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Truncated lognormal predation kernel — truncated_lognormal_pred_kernel","text":"ppmr vector predator/prey size ratios beta preferred predator/prey size ratio sigma width parameter log-normal kernel","code":""},{"path":"https://sizespectrum.org/mizer/reference/truncated_lognormal_pred_kernel.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Truncated lognormal predation kernel — truncated_lognormal_pred_kernel","text":"vector giving value predation kernel predator/prey mass ratios ppmr argument.","code":""},{"path":"https://sizespectrum.org/mizer/reference/truncated_lognormal_pred_kernel.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Truncated lognormal predation kernel — truncated_lognormal_pred_kernel","text":"Writing predator mass \\(w\\) prey mass \\(w_p\\), feeding kernel given $$\\phi_i(w, w_p) = \\exp \\left[ \\frac{-(\\ln(w / w_p / \\beta_i))^2}{2\\sigma_i^2} \\right] $$ \\(w/w_p\\) 1 \\(\\beta_i\\exp(3\\sigma_i)\\) zero otherwise. \\(\\beta_i\\) preferred predator-prey mass ratio \\(\\sigma_i\\) determines width kernel. two parameters need given species parameter dataframe columns beta sigma. function called setPredKernel() set predation kernel slots MizerParams object.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/truncated_lognormal_pred_kernel.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Truncated lognormal predation kernel — truncated_lognormal_pred_kernel","text":"","code":"params <- NS_params species_params(params)$pred_kernel_type <- \"truncated_lognormal\" plot(w_full(params), getPredKernel(params)[\"Cod\", 10, ], type=\"l\", log=\"x\")"},{"path":"https://sizespectrum.org/mizer/reference/upgradeParams.html","id":null,"dir":"Reference","previous_headings":"","what":"Upgrade MizerParams object from earlier mizer versions — upgradeParams","title":"Upgrade MizerParams object from earlier mizer versions — upgradeParams","text":"function called validParams(). never need call directly.","code":""},{"path":"https://sizespectrum.org/mizer/reference/upgradeParams.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Upgrade MizerParams object from earlier mizer versions — upgradeParams","text":"","code":"upgradeParams(params)"},{"path":"https://sizespectrum.org/mizer/reference/upgradeParams.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Upgrade MizerParams object from earlier mizer versions — upgradeParams","text":"params old MizerParams object upgraded","code":""},{"path":"https://sizespectrum.org/mizer/reference/upgradeParams.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Upgrade MizerParams object from earlier mizer versions — upgradeParams","text":"upgraded MizerParams object","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/upgradeSim.html","id":null,"dir":"Reference","previous_headings":"","what":"Upgrade MizerSim object from earlier mizer versions — upgradeSim","title":"Upgrade MizerSim object from earlier mizer versions — upgradeSim","text":"Upgrade MizerSim object earlier mizer versions","code":""},{"path":"https://sizespectrum.org/mizer/reference/upgradeSim.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Upgrade MizerSim object from earlier mizer versions — upgradeSim","text":"","code":"upgradeSim(sim)"},{"path":"https://sizespectrum.org/mizer/reference/upgradeSim.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Upgrade MizerSim object from earlier mizer versions — upgradeSim","text":"sim old MizerSim object upgraded","code":""},{"path":"https://sizespectrum.org/mizer/reference/upgradeSim.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Upgrade MizerSim object from earlier mizer versions — upgradeSim","text":"upgraded MizerSim object","code":""},{"path":"https://sizespectrum.org/mizer/reference/validGearParams.html","id":null,"dir":"Reference","previous_headings":"","what":"Check validity of gear parameters and set defaults — validGearParams","title":"Check validity of gear parameters and set defaults — validGearParams","text":"function returns valid gear parameter data frame can used setFishing() gives error message.","code":""},{"path":"https://sizespectrum.org/mizer/reference/validGearParams.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Check validity of gear parameters and set defaults — validGearParams","text":"","code":"validGearParams(gear_params, species_params)"},{"path":"https://sizespectrum.org/mizer/reference/validGearParams.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Check validity of gear parameters and set defaults — validGearParams","text":"gear_params Gear parameter data frame species_params Species parameter data frame","code":""},{"path":"https://sizespectrum.org/mizer/reference/validGearParams.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Check validity of gear parameters and set defaults — validGearParams","text":"valid gear parameter data frame","code":""},{"path":"https://sizespectrum.org/mizer/reference/validGearParams.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Check validity of gear parameters and set defaults — validGearParams","text":"gear_params data frame allowed zero rows, rows, following requirements apply: must columns species gear species - gear pair allowed appear . species appears must also appear species_params data frame. must sel_func column. selectivity function supplied, set \"knife_edge\". must catchability column. catchability supplied, set 1. parameters required selectivity functions must provided. gear_params empty, function tries find necessary information species_params data frame. restricts species fished one gear. Defaults used information can found species_params dataframe, follows: gear column NA new gear named species introduced. sel_func column NA knife_edge used. catchability column NA set 1. selectivity function knife_edge knife_edge_size provided, set w_mat. row names returned data frame form \"species, gear\". gear_params NULL gear information species_params, gear called knife_edge_gear set knife_edge selectivity species knive_edge_size equal w_mat. Catchability set 0.3 species.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/validParams.html","id":null,"dir":"Reference","previous_headings":"","what":"Validate MizerParams object and upgrade if necessary — validParams","title":"Validate MizerParams object and upgrade if necessary — validParams","text":"Checks given MizerParams object valid upgrades necessary.","code":""},{"path":"https://sizespectrum.org/mizer/reference/validParams.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Validate MizerParams object and upgrade if necessary — validParams","text":"","code":"validParams(params)"},{"path":"https://sizespectrum.org/mizer/reference/validParams.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Validate MizerParams object and upgrade if necessary — validParams","text":"params MizerParams object validate","code":""},{"path":"https://sizespectrum.org/mizer/reference/validParams.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Validate MizerParams object and upgrade if necessary — validParams","text":"valid MizerParams object","code":""},{"path":"https://sizespectrum.org/mizer/reference/validParams.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Validate MizerParams object and upgrade if necessary — validParams","text":"possible render MizerParams object invalid manually changing slots. function checks object valid attempts upgrade valid object gives error message. object valid returned unchanged. function reports error rate arrays contain non-finite numbers (except maximum intake rate allowed infinite). Occasionally, development new features mizer, MizerParams object gains extra slots. MizerParams objects created older versions mizer longer valid new version missing slots. need upgrade function. adds missing slots fills default values. object version 0.4 onwards can upgraded. old MizerSim objects similarly updated validSim(). function uses newMultispeciesParams() create new MizerParams object using parameters extracted old MizerParams object.","code":""},{"path":"https://sizespectrum.org/mizer/reference/validParams.html","id":"backwards-compatibility","dir":"Reference","previous_headings":"","what":"Backwards compatibility","title":"Validate MizerParams object and upgrade if necessary — validParams","text":"internal numerics mizer changed time, may small discrepancies results obtained upgraded object new version original object old version. important reproduce exact results install version mizer obtained results. can   replace \"v0.2\" version number require. can see list available releases https://github.com/sizespectrum/mizer/tags. serialised version old object, example created via saveRDS(), get error trying read readRDS() unfortunately need install old version mizer first read params object workspace, switch current version call validParams(). can save new version saveParams().","code":"remotes::install_github(\"sizespectrum/mizer\", ref = \"v0.2\")"},{"path":"https://sizespectrum.org/mizer/reference/validSim.html","id":null,"dir":"Reference","previous_headings":"","what":"Validate MizerSim object and upgrade if necessary — validSim","title":"Validate MizerSim object and upgrade if necessary — validSim","text":"Checks given MizerSim object valid upgrades necessary. Checks whether abundances non-finite found, warning issued simulation truncated last time step results finite.","code":""},{"path":"https://sizespectrum.org/mizer/reference/validSim.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Validate MizerSim object and upgrade if necessary — validSim","text":"","code":"validSim(sim)"},{"path":"https://sizespectrum.org/mizer/reference/validSim.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Validate MizerSim object and upgrade if necessary — validSim","text":"sim MizerSim object validate","code":""},{"path":"https://sizespectrum.org/mizer/reference/validSim.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Validate MizerSim object and upgrade if necessary — validSim","text":"valid MizerSim object","code":""},{"path":"https://sizespectrum.org/mizer/reference/validSim.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Validate MizerSim object and upgrade if necessary — validSim","text":"Occasionally, development new features mizer, MizerSim class MizerParams class gains extra slots. MizerSim objects created older versions mizer longer valid new version missing slots. need upgrade function. function adds missing slots fills default values. also calls validParams() upgrade MizerParams object inside MizerSim object. object version 0.4 onwards can upgraded.","code":""},{"path":"https://sizespectrum.org/mizer/reference/validSim.html","id":"backwards-compatibility","dir":"Reference","previous_headings":"","what":"Backwards compatibility","title":"Validate MizerSim object and upgrade if necessary — validSim","text":"internal numerics mizer changed time, may small discrepancies results obtained upgraded object new version original object old version. important reproduce exact results install version mizer obtained results. can   replace \"v0.2\" version number require. can see list available releases https://github.com/sizespectrum/mizer/tags. serialised version old object, example created via saveRDS(), get error trying read readRDS() unfortunately need install old version mizer first read params object workspace, switch current version call validParams(). can save new version saveParams().","code":"remotes::install_github(\"sizespectrum/mizer\", ref = \"v0.2\")"},{"path":"https://sizespectrum.org/mizer/reference/validSpeciesParams.html","id":null,"dir":"Reference","previous_headings":"","what":"Validate species parameter data frame — validSpeciesParams","title":"Validate species parameter data frame — validSpeciesParams","text":"functions check validity species parameter frame , necessary, make corrections. validGivenSpeciesParams() checks corrects given species parameters add default values species parameters provided. validSpeciesParams() first calls validGivenSpeciesParams() goes adding default values species parameters provided.","code":""},{"path":"https://sizespectrum.org/mizer/reference/validSpeciesParams.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Validate species parameter data frame — validSpeciesParams","text":"","code":"validSpeciesParams(species_params)  validGivenSpeciesParams(species_params)"},{"path":"https://sizespectrum.org/mizer/reference/validSpeciesParams.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Validate species parameter data frame — validSpeciesParams","text":"species_params user-supplied species parameter data frame","code":""},{"path":"https://sizespectrum.org/mizer/reference/validSpeciesParams.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Validate species parameter data frame — validSpeciesParams","text":"validSpeciesParams(): valid species parameter data frame additional parameters default values. validGivenSpeciesParams(): valid species parameter data frame without additional parameters.","code":""},{"path":"https://sizespectrum.org/mizer/reference/validSpeciesParams.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Validate species parameter data frame — validSpeciesParams","text":"validGivenSpeciesParams() checks validity given species parameter throws error species column exist contains duplicates maximum size specified species weight-based parameter missing corresponding length-based parameter given, well b parameters length-weight conversion, weight-based parameters added. length weight given, weight used warning issued two inconsistent. w_inf column given w_max value w_inf used. backwards compatibility. note von Bertalanffy parameter w_inf maximum size largest individual, asymptotic size average individual. inconsistencies size parameters resolved follows: w_mat smaller w_max set w_max / 4. w_mat25 smaller w_mat set NA. w_min smaller w_mat set 0.001 w_mat /10, whichever smaller. w_repro_max larger w_mat set 4 * w_mat. row names returned data frame species names. species_params provided tibble converted back ordinary data frame. function tests typical misspellings parameter names, like wrong capitalisation missing underscores issues warning detects name. validSpeciesParams() first calls validGivenSpeciesParams() goes adding default values species parameters provided. function sets default values following species parameters missing NA: w_repro_max set w_max w_mat set w_max/4 w_min set 0.001 alpha set 0.6 interaction_resource set 1 n set 3/4 p set n Note species parameters returned functions guaranteed produce viable model. checks parameters performed individual rate-setting functions (see setParams() list functions).","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/valid_gears_arg.html","id":null,"dir":"Reference","previous_headings":"","what":"Helper function to assure validity of gears argument — valid_gears_arg","title":"Helper function to assure validity of gears argument — valid_gears_arg","text":"gears argument contains invalid gears, ignored warning issued.","code":""},{"path":"https://sizespectrum.org/mizer/reference/valid_gears_arg.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Helper function to assure validity of gears argument — valid_gears_arg","text":"","code":"valid_gears_arg(object, gears = NULL, error_on_empty = FALSE)"},{"path":"https://sizespectrum.org/mizer/reference/valid_gears_arg.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Helper function to assure validity of gears argument — valid_gears_arg","text":"object MizerSim MizerParams object gears selected. gears gears selected. Optional. default gears selected. vector gear names. error_on_empty Whether throw error zero valid gears. Default FALSE.","code":""},{"path":"https://sizespectrum.org/mizer/reference/valid_gears_arg.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Helper function to assure validity of gears argument — valid_gears_arg","text":"vector gear names.","code":""},{"path":"https://sizespectrum.org/mizer/reference/valid_species_arg.html","id":null,"dir":"Reference","previous_headings":"","what":"Helper function to assure validity of species argument — valid_species_arg","title":"Helper function to assure validity of species argument — valid_species_arg","text":"species argument contains invalid species, ignored warning issued.","code":""},{"path":"https://sizespectrum.org/mizer/reference/valid_species_arg.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Helper function to assure validity of species argument — valid_species_arg","text":"","code":"valid_species_arg(   object,   species = NULL,   return.logical = FALSE,   error_on_empty = FALSE )"},{"path":"https://sizespectrum.org/mizer/reference/valid_species_arg.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Helper function to assure validity of species argument — valid_species_arg","text":"object MizerSim MizerParams object species selected. species species selected. Optional. default target species selected. vector species names, numeric vector species indices, logical vector indicating species whether selected (TRUE) . return.logical Whether return value logical vector. Default FALSE. error_on_empty Whether throw error zero valid species. Default FALSE.","code":""},{"path":"https://sizespectrum.org/mizer/reference/valid_species_arg.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Helper function to assure validity of species argument — valid_species_arg","text":"vector species names, order specified 'species' argument. 'return.logical = TRUE' logical vector returned instead, length equal number species, TRUE entry selected species.","code":""},{"path":"https://sizespectrum.org/mizer/reference/w.html","id":null,"dir":"Reference","previous_headings":"","what":"Size bins — w","title":"Size bins — w","text":"Functions fetch information size bins used model described params.","code":""},{"path":"https://sizespectrum.org/mizer/reference/w.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Size bins — w","text":"","code":"w(params)  w_full(params)  dw(params)  dw_full(params)"},{"path":"https://sizespectrum.org/mizer/reference/w.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Size bins — w","text":"params MizerParams object","code":""},{"path":"https://sizespectrum.org/mizer/reference/w.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Size bins — w","text":"w() returns vector sizes start size bin consumer spectrum. w_full() returns vector sizes start size bin resource spectrum, typically starts smaller sizes consumer spectrum. dw() returns vector widths size bins consumer spectrum. dw_full() returns vector widths size bins resource spectrum.","code":""},{"path":"https://sizespectrum.org/mizer/reference/w.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Size bins — w","text":"represent continuous size spectrum computer, size variable discretized vector w discrete weights, providing grid sizes spanning range smallest egg size largest maximum size. grid values divide full size range finite number size bins. size bins chosen small enough avoid discretisation errors becoming big. can fetch vector w() vector bin widths dw(). weight grid set logarithmically spaced, w[j]=w[1]*10^(j*dx) fixed dx. means bin widths increase size: dw[j] = w[j] * (10^dx - 1). grid set automatically creating MizerParams object. resource spectrum spans larger range sizes, sizes discretized different vector weights w_full. usually starts much smaller size w, also runs largest size, last entries w_full coincide entries w. logarithmic spacing w_full w, w_full[j]=w_full[1]*10^(j*dx). function w_full() gives vector sizes dw_full() gives vector bin widths. need vectors converting number densities numbers. example size spectrum species stored vector values represent density fish size bin rather number fish. number fish size bin w[j] w[j+1]=w[j]+dw[j] obtained N[j]*dw[j]. vector w can used example convert number individuals size bin biomass size bin. biomass jth bin biomass[j] = N[j] * dw[j] * w[j]. course calculations discrete sizes size bins giving approximations continuous values, approximations get better smaller size bins , .e., size bins used. However using size bins also slows calculations, trade-. functions setting MizerParams objects allow choose number size bins no_w.","code":""},{"path":"https://sizespectrum.org/mizer/reference/w.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Size bins — w","text":"","code":"str(w(NS_params)) #>  num [1:100] 0.001 0.00119 0.00142 0.0017 0.00203 ... str(dw(NS_params)) #>  num [1:100] 0.000193 0.000231 0.000275 0.000329 0.000392 ... str(w_full(NS_params)) #>  num [1:226] 2.12e-13 2.53e-13 3.02e-13 3.61e-13 4.30e-13 ... str(dw_full(NS_params)) #>  num [1:226] 4.10e-14 4.90e-14 5.84e-14 6.97e-14 8.32e-14 ...  # Calculating the biomass of Cod in each bin in the North Sea model biomass <- initialN(NS_params)[\"Cod\", ] * dw(NS_params) * w(NS_params) # Summing to get total biomass sum(biomass) #> [1] 601591842546"},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"mizer-254","dir":"Changelog","previous_headings":"","what":"mizer 2.5.4","title":"mizer 2.5.4","text":"New function renameGear() rename gears MizerParams object, similar renameSpecies(). addSpecies() now proceeds warning instead error species growth stops maturity (#315). matchBiomasses() matchNumbers() now provide informative error messages. plotDiet() now restricts plot size ranges meaningful biomass density (#317). wlim ylim arguments plotting functions now set actual axis limits instead just zooming (#320). legend plotlyFeedingLevel() improved critical feeding level included. species gears columns now never factors, longer need call .character() often. validParams() also calls validGearParams(). validParams() checks w_min valid species increases necessary. validSpeciesParams() now also sets default p equal n. species_params<-() given_species_params<-() now check species names match. params argument l2w() w2l() renamed species_params follow mizer’s convention params refers MizerParams object.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"bug-fixes-2-5-4","dir":"Changelog","previous_headings":"","what":"Bug fixes","title":"mizer 2.5.4","text":"animateSpectra() now uses consistent colours preserves colour identity across frames (#321). getReproductionProportion() longer returns incorrect proportions > 1 (#299) setResource() now correctly applies w_pp_cutoff parameter carrying capacity initial resource abundance changed without providing resource_capacity(#306). Predation kernels now truncated documented. given_species_params() longer makes unwanted changes species parameters. steadySingleSpecies() longer changes time_modified.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"mizer-253","dir":"Changelog","previous_headings":"","what":"mizer 2.5.3","title":"mizer 2.5.3","text":"CRAN release: 2024-10-17 patch update users changed w_max manually model get unhelpful error messages trying use model new version. General checking parameters made robust. particular validSpeciesParams() extra checks consistency species parameters validParams() checks rate arrays contain finite numeric values validSim() checks simulation results finite truncates simulation .","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"mizer-252","dir":"Changelog","previous_headings":"","what":"mizer 2.5.2","title":"mizer 2.5.2","text":"CRAN release: 2024-10-14 Fixed bug led newCommunityParams() set resource parameters differently since version 2.4.0 (#293) addSpecies() now correctly preserves species_params existing model. addSpecies() longer requires new species grow maximum size, maturity size required. Now validGivenSpeciesParams() validates given species parameters without adding defaults validSpeciesParams() validates returns completed species parameter dataframe. New species parameter w_repro_max giving size species invests 100% energy reproduction. Set w_max default. removeSpecies() now also removes species parameters set remaining species. Changing w_max now also correctly updates ft_mask (#296). compareParams() now also spells differences given species parameters. getDiet() now also includes contribution external encounter rate diet. setPredKernel() now throws error required predation kernel parameters NA. plotYieldGear() one can select subset gears new gears argument. New helper function valid_gears_arg() check gears argument functions take gears argument. Improved scaling y-axis plotGrowthCurves(). steadySingleSpecies() longer requires species grow w_max. matchGrowth() now also rescales external encounter rate. setExtEncounter() longer resets external encounter rate zero called without ext_encounter argument. function plotBiomassObservedVsModel() now plots ratio modelled observed biomass default (ratio = T), useful visually see far modelled biomass observed biomass. time_modified field now updated correctly steadySingleSpecies(), setColours() setLinetypes(). Deprecated matchYields() calibrateYield(). Improved unit tests. improvements documentation.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"mizer-251","dir":"Changelog","previous_headings":"","what":"mizer 2.5.1","title":"mizer 2.5.1","text":"CRAN release: 2024-03-08 patch release made necessary change CRAN’s requirement regarding vignettes. also includes bug fix: project() projectToSteady(..., return_sim = TRUE) now correctly returns also components MizerSim object stored n_other. #285","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"mizer-250","dir":"Changelog","previous_headings":"","what":"mizer 2.5.0","title":"mizer 2.5.0","text":"CRAN release: 2023-12-08 release introduces change requires upgrade old MizerParams MizerSim objects upgradeParams() upgradeSim().","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"external-encounter-rate-2-5-0","dir":"Changelog","previous_headings":"","what":"External encounter rate","title":"mizer 2.5.0","text":"Now model can include external encounter rate represents rate predator encounters food explicitly modelled. encounter rate set setExtEncounter() ext_encounter<-() can read getExtEncounter() ext_encounter(). similar external mortality handled.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"given-versus-calculated-species-parameters-2-5-0","dir":"Changelog","previous_headings":"","what":"Given versus calculated species parameters","title":"mizer 2.5.0","text":"can now use given_species_params() see species parameter values explicitly specified calculated_species_params() see species parameter values mizer calculated automatically set defaults. can continue use species_params() get species parameters, irrespective whether given calculated. can still set parameter values species_params<-(), can also use stronger given_species_params<-() sets values give also triggers re-calculation calculated species parameters. Using given_species_params<-() therefore usually better option.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"new-mizer-course-2-5-0","dir":"Changelog","previous_headings":"","what":"New mizer course","title":"mizer 2.5.0","text":"now three-part mizer course https://mizer.course.sizespectrum.org part consisting several tutorials, including code exercises: Part 1: Understand gain understanding size spectra dynamics exploring simple example systems hands-mizer. Part 2: Build build multi-species mizer model Celtic sea, following example. can also create model area interest. Part 3: Use explore effects changes fishing changes resource dynamics fish community fisheries yield. run model scenarios.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"other-improvements-2-5-0","dir":"Changelog","previous_headings":"","what":"Other improvements","title":"mizer 2.5.0","text":"Warnings given user gives irrelevant species parameter values. messages converted warnings signals shown frequently. Frequent warnings avoided length-based weight-based parameters given inconsistent. #277 Documentation effort argument project() improved. error message given predation kernel returns negative values everywhere zero. #283","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"bug-fixes-2-5-0","dir":"Changelog","previous_headings":"","what":"Bug fixes","title":"mizer 2.5.0","text":"coefficient h maximum intake rate given, now given default value. #282 matchGrowth() longer gives error w_inf column. #279","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"mizer-241","dir":"Changelog","previous_headings":"","what":"mizer 2.4.1","title":"mizer 2.4.1","text":"CRAN release: 2023-04-26 minor release made necessary keep mizer CRAN unit test failed macOS 13.3 version 14.3 CLT toolchain.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"mizer-240","dir":"Changelog","previous_headings":"","what":"mizer 2.4.0","title":"mizer 2.4.0","text":"CRAN release: 2022-12-23 release introduces change requires upgrade old MizerParams MizerSim objects upgradeParams() upgradeSim(). See mizer 2.4.0 blog post","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"avoid-confusion-between-maximum-size-and-von-bertalanffy-asymptotic-size-2-4-0","dir":"Changelog","previous_headings":"","what":"Avoid confusion between maximum size and von Bertalanffy asymptotic size","title":"mizer 2.4.0","text":"explanation see blog post https://blog.mizer.sizespectrum.org/posts/2022-11-30-dont-use-von-bertalanffy-growth-parameters/ species parameter specifies size also largest fish stop growing renamed w_inf w_max. parameter w_inf now reserved von Bertalanffy asymptotic size parameter. upgrade existing MizerParams object upgradeParams() w_inf column copied w_max column automatically, may want change values currently reflect maximum size species. Otherwise size distributions predicted mizer match observations.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"set-resource-abundance-rather-than-carrying-capacity-2-4-0","dir":"Changelog","previous_headings":"","what":"Set resource abundance rather than carrying capacity","title":"mizer 2.4.0","text":"resource parameters kappa lambda now used set abundance resource steady state rather carrying capacity, latter observable. tuning steady state using steady() function resource abundance now kept fixed chosen value. resource dynamics can switched later setResource() without changing steady state. stage choose either resource intrinsic growth rate resource carrying capacity determined setResource() way resource replenishes rate consumed. want keep old behaviour switch automatic balancing add balance = FALSE argument calling setResource(). can also choose semichemostat dynamics resource_semichemostat() logistic dynamics resource_logistic() can write function implementing sophisticated resource dynamics. setParams() function longer includes arguments setting resource parameters. Instead set separately setResource().","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"automatically-match-growth-rates-2-4-0","dir":"Changelog","previous_headings":"","what":"Automatically match growth rates","title":"mizer 2.4.0","text":"explained blog post https://blog.mizer.sizespectrum.org/posts/2022-11-30-dont-use-von-bertalanffy-growth-parameters/, von Bertalanffy curves fitted size--age data suitable estimating size-dependent growth rates mizer. therefore now recommended instead von Bertalanffy parameters supply age maturity age_mat column species parameter data frame. used mizer calculate default maximum intake rate parameter h supply . past, whenever changed model parameters, needed re-tune parameters keep growth rates line observations. now new function matchGrowth() automatically scales search volume, maximum consumption rate metabolic rate factor order achieve growth rate allows individuals reach maturity size maturity age keeping feeding level critical feeding level unchanged. function however preserve steady state, need also call steady() matching growth rates.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"other-improvements-2-4-0","dir":"Changelog","previous_headings":"","what":"Other improvements","title":"mizer 2.4.0","text":"New function steadySingleSpecies() balances size-spectrum dynamics ignoring multi-species effects. words, calculates steady-state size spectrum species abundance prey predators kept constant current values. plotGrowthCurves() can now superimpose scatterplot size--age data supply via new size_at_age argument. New functions calibrateNumber() matchNumbers() like calibrateBiomass() matchBiomasses() work observed numbers instead observed biomasses. New function age_mat() calculate age maturity growth rate size maturity. effort vector effort array contains NA’s, now replaced default effort value. #230 entries interaction matrix interaction_resource longer restricted less equal 1. #232 user supplies row names interaction matrix gives column names column names also used row names. #247 project() now also works called MizerSim object additional components. steady() now preserves RDD function MizerParams object rather always setting “BevertonHoltRDD”. averaging abundances time plotSpectra() setInitialValues() user can now choose geometric averaging geometric_mean = TRUE. w_mat25 species parameter longer filled automatically supplied. makes easier change w_mat without change w_mat25 time. compareParams() now also checks validity second argument. Hide printing messages chosen defaults newTraitParams(). Higher values info_level argument newMultispeciesParams() now leads messages. Giving helpful messages validSpeciesParams(). #136 New helper functions l2w() w2l() converting length-based weight-based species parameters. #258 Check assessor functions MizerSim slots called MizerSim object. Add style argument plotDataFrame() facilitate producing area plots. Add wrap_scale argument plotDataFrame() control scaling axes faceted plots. plotDiet() can now show diets several predator species faceted plot. #267 Change size linewidth aesthetic avoid warnings new version ggplot2. Better error message functions called valid species selected. #251 differences compareParams() says clearly. getReproductionLevel() works long R_max set. #252 Converted several unit tests edition 3 testthat package. Improved documentation gear_params(). Improved defaults can now implemented keeping backwards compatibility via defaults_edition(). #186 New defaults edition 2: catchability = 0.3 instead 1, initial effort = 1 instead 0. #243 defaults edition 2, get_gamma_default() ensures feeding level f0 larvae also interaction_resource equal 1. #238 Set default linecolour linetype external mortality.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"bug-fixes-2-4-0","dir":"Changelog","previous_headings":"","what":"Bug fixes","title":"mizer 2.4.0","text":"Restored line colours NS_params Comment field now preserved set_species_default(). #268 Comment w_inf longer leads error plyr::aaply(). #269 Can now set url field metadata. Correct species now listed legend plotYieldObservedVsModel() plotBiomassObservedVsModel(). #266 Standard order legend plotDiet() restored change ggplot2 package. #265 Fix handling column names interaction matrix read .csv file. #263","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"mizer-231","dir":"Changelog","previous_headings":"","what":"mizer 2.3.1","title":"mizer 2.3.1","text":"CRAN release: 2022-07-06 Resolved conflict mizerPredRate() argument t function base::t(). Assert upgradeParams() must called MizerParams object upgradeSim() MizerSim object. Errors changed warnings getRequiredRDD() renameSpecies() longer fails linecolour linetype different lengths. matchYields() now also works model single species. setInitialValues() can now average time_range. getSSB(), getBiomass(), getN(), getYieldGear() getYield() can now called MizerParams object well MizerSim object. (#200) Updated shiny app inst/shiny/selectivity_effects current mizer version.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"mizer-230","dir":"Changelog","previous_headings":"","what":"mizer 2.3.0","title":"mizer 2.3.0","text":"CRAN release: 2021-09-11","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"new-features-2-3-0","dir":"Changelog","previous_headings":"","what":"New features","title":"mizer 2.3.0","text":"New plots plotBiomassObservedVsModel() plotYieldObservedVsModel() contributed @SamikDatta., together plotly counterparts. New calibrateBiomass(), calibrateYield() set model scale agree total observed biomass total observed yield. Uses new scaleModel(). New matchBiomasses() matchYields() try adjust abundances species produce observed biomasses yields. See blog post https://bit.ly/2YqXESV . now accessor replacement functions rates. example instead params <- setReproduction(params, maturity = my_maturity) one can simply use maturity(params) <- my_maturity. documented together setter functions. #213 New setMetadata() add information MizerParams object describing model, example title, description, author list authors, url doi. particularly useful sharing models others New saveParams() saving MizerParams object file readParams() reading back . resulting files can shared others want run model. MizerParams object now registers mizer version model last saved. model working expected current version mizer, can go back older version presumably working. helps reproducibility research. MizerParams object registers time created time last modified. See getMetadata(). helps keep track different versions model. steady() now preserve argument possible values erepro, R_max reproduction_level specify quantity preserve. means one can continue use steady() also one started tune density dependence reproduction. #208 website now using nice new mizer logo designed Kira Askaroff (www.kiraaskaroff.com) new mizer extension package mizerMR allowing include multiple resource spectra model.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"small-improvements-2-3-0","dir":"Changelog","previous_headings":"","what":"Small improvements","title":"mizer 2.3.0","text":"rownames gear_params now set “species, gear”, one can access individual entries example gear_params(NS_params)[\"Cod, Otter\", \"catchability\"]. #212 z0 argument setExtMort() deprecated favour ext_mort order avoid confusion species parameter z0. setColours() setLinetypes() now issue warnings invalid values given ignores NAs. experimental comment arguments setter functions removed. #214 setter functions new reset argument , set TRUE recalculate rates species_, gear_ resource_params even custom values set. #214 species argument various functions, checked valid_species_arg(), now throw error even valid species included. warning issued. means example plotSpectra(NS_params, species = list(), total = TRUE) now allowed. getComponent() mizer extension mechanism now returns NULL asked non-existent component instead giving error. gives easy way check existence component. example interaction matrix inter North Sea model now alternative name NS_interaction, old name deprecated. Species added addSpecies() now default given reproduction level 1/4 instead 0, low densities introduced otherwise enough density dependence stabilise . size range arguments min_w, max_w, min_l max_l used summary functions processed get_size_range_array() accept vector values setting different limits different species. resource dynamics function now also passed resource_rate resource_capacity arguments, makes easier use extension packages. Species names now always coerced strings, even user gives numbers. #202 new system informing user defaults set newMultispeciesParams(), #199 Many improvements documentation. Many small improvements code quality testing. Better social media cards, especially twitter. mizer can run binder, https://mybinder.org/v2/gh/sizespectrum/mizer/HEAD?urlpath=rstudio","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"bug-fixes-2-3-0","dir":"Changelog","previous_headings":"","what":"Bug fixes","title":"mizer 2.3.0","text":"Changing linecolour linetype species parameters now actually changes linecolours linetypes intended. Growth curves calculated getGrowthCurves() plotted plotGrowthCurves() now correct, longer extend asymptotic size. plotGrowthCurves() species_panel = TRUE now respects species argument show growth curves selected species, works MizerParams object well MizerSim object, shows panels correct order. #201 Reinstated example .csv files missing package vignettes longer included.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"mizer-221","dir":"Changelog","previous_headings":"","what":"mizer 2.2.1","title":"mizer 2.2.1","text":"CRAN release: 2021-08-03","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"new-functionality-2-2-1","dir":"Changelog","previous_headings":"","what":"New functionality","title":"mizer 2.2.1","text":"setBevertonHolt() function expanded arguments. allows change density dependence reproduction without changing steady state model. new getReproductionLevel() function tells proportion maximum reproduction rate species operating model. package now comes example MizerSim object NS_sim holds simulation North Sea model. New function plotDataFrame() allows easier creation plots.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"bug-fixes-2-2-1","dir":"Changelog","previous_headings":"","what":"Bug fixes","title":"mizer 2.2.1","text":"setInitialValues() correctly preserves gear names initial effort. Thanks Axel Rossberg. getFMort() correctly passes t argument custom fishing mortality function may written. legends plots now show species actually included plot.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"other-improvements-2-2-1","dir":"Changelog","previous_headings":"","what":"Other improvements","title":"mizer 2.2.1","text":"Speed improvement mizerPredMort() suggested Axel Rossberg. plotSpectra() now shows species legend actually contained plot. Updated tests plots use new version vdiffr package. improvements examples help pages. functions thorough tests arguments give useful error messages. initialNOther() also works MizerSim object. projectToSteady() called effort, effort now also stored initial_effort slot. Improvement summary() now using sprintf() better formatting also gives initial_effort. Improved documentation size grid bins. arguments project_simple() given convenient defaults. tooltips plotly plots cleaned bit. Species names now always coerced strings, even user supplies numeric names. Update “Multi-Species Model North Sea” tutorial use projectToSteady().","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"mizer-220","dir":"Changelog","previous_headings":"","what":"mizer 2.2.0","title":"mizer 2.2.0","text":"CRAN release: 2021-06-24","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"new-functionality-2-2-0","dir":"Changelog","previous_headings":"","what":"New functionality","title":"mizer 2.2.0","text":"New function newSingleSpeciesParams() creating single species power-law background. New function animateSpectra() creating animated plot simulation. New functions addSpecies(), removeSpecies() renameSpecies(). parameters ecosystem component added setComponent() can now take form, longer named list. New argument return_data plot’s functions allows return data frame used ggplot instead plot.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"breaking-changes-2-2-0","dir":"Changelog","previous_headings":"","what":"Breaking changes","title":"mizer 2.2.0","text":"steady() longer switches Beverton-Holt density dependence. can manually setBevertonHolt() R_factor = Inf.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"bug-fixes-2-2-0","dir":"Changelog","previous_headings":"","what":"Bug fixes","title":"mizer 2.2.0","text":"getYield() now also works density-dependent fishing mortality. Thanks James Roger discovering problem. gamma argument now longer ignored newTraitParams() correctly overrides f0 argument. #188 getFMort() works correctly called MizerSim object. resource_semichemostat() longer fail sizes resource growth rate resource mortality rate zero. default no_w newTraitParams() now always integer. Problems different machine precision longer prompts error “w_min_idx point start size bin containing egg size w_min”. `addSpecies() longer extends grid due rounding errors. valid_species_arg() called species = NULL background species returns NULL.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"documentation-2-2-0","dir":"Changelog","previous_headings":"","what":"Documentation","title":"mizer 2.2.0","text":"New tutorial single-species sizes-spectrum dynamics. Improved documentation getDiet() plotDiet(). info units added documentation summary functions.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"mizer-210","dir":"Changelog","previous_headings":"","what":"mizer 2.1.0","title":"mizer 2.1.0","text":"CRAN release: 2021-03-21","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"new-functionality-2-1-0","dir":"Changelog","previous_headings":"","what":"New functionality","title":"mizer 2.1.0","text":"New function projectToSteady() run full dynamics steady state. New functions distanceSSLogN() distanceMaxRelRDI() measure distance two states. New function compareParams() compare two MizerParams objects. Added constantEggRDI() allow keeping egg densities fixed. setting custom parameter arrays setter functions, now easy user document via “comment” arguments. #177 New function customFunction() allow users overwrite mizer functions. Now effort specified named vector giving values gears, effort remaining gears assumed zero. Added possibility see output plotGrowthCurves panel species respective Von Bertalanffy curves","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"breaking-changes-2-1-0","dir":"Changelog","previous_headings":"","what":"Breaking changes","title":"mizer 2.1.0","text":"default, functions plotPredMort() plotFMort stop displaying mortality values past species’ asymptotic size. argumentall.sizes allows continue show values.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"bug-fixes-2-1-0","dir":"Changelog","previous_headings":"","what":"Bug fixes","title":"mizer 2.1.0","text":"getFMort() now passes time argument correctly. #181 validEffortArray() now sets dimnames correctly. #173","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"code-improvements-2-1-0","dir":"Changelog","previous_headings":"","what":"Code improvements","title":"mizer 2.1.0","text":"Using lifecycle package indicate status functions arguments ‘experimental’ ‘deprecated’. Improved error handling setFishing(). #172 Made use vdiffr conditional, required §1.1.3.1 ‘Writing R Extensions’. Consistent handling species argument mizer functions, via new valid_species_arg() function. #170 tests. Test coverage now 94.71% Improved argument checking setInitialValues() Throwing error min_w_pp larger min_w Improved documentation functions getting fishing mortality.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"mizer-204","dir":"Changelog","previous_headings":"","what":"mizer 2.0.4","title":"mizer 2.0.4","text":"CRAN release: 2020-08-30","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"bug-fixes-2-0-4","dir":"Changelog","previous_headings":"","what":"Bug fixes","title":"mizer 2.0.4","text":"value t passed dynamics functions corrected. setReproduction() now correctly sets total proportion psi maturity proportion changed.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"enhancements-2-0-4","dir":"Changelog","previous_headings":"","what":"Enhancements","title":"mizer 2.0.4","text":"way times set project() simplified. now either set arguments t_start, t_max t_save dimension names effort array. Renamed setRmax() setBevertonHolt() allow work arbitrary MizerParams object. old name setRmax() still available alias. mizerFMort() now can also use abundances rates e_growth pred_mort. useful example implementing balanced harvesting. calculation numeric scheme simplified. gear_params allowed zero rows. validGearParams() species name used gear name case gear_name NA. validGearParams() ensures required arguments selectivity function supplied checks validity species names. species_params()<- suppresses warnings. steady() fails RDI zero gives meaningful error message. newCommunityParams() now protects zero investment reproduction comment. default maturity ogive truncated proportions smaller 1e-8. new helper function valid_species_arg() checks validity species selection arguments. upgradeParams() can now also upgrade old MizerParams objects consistent initial_effort. new helper function validParams() validates MizerParams object automatically upgrades upgradeParams() necessary. Old MizerParams objects updated automatically used plot functions, rate functions, summary functions project() steady(), #163. New function getRates() calculates rates collects list. steady() return_sim = TRUE now creates MizerSim object way project(), namely original values first time slot. Added documentation species_params(), gear_params() resource_params(). Numerous small improvements documentation.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"mizer-203","dir":"Changelog","previous_headings":"","what":"mizer 2.0.3","title":"mizer 2.0.3","text":"CRAN release: 2020-07-28","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"bug-fixes-2-0-3","dir":"Changelog","previous_headings":"","what":"Bug fixes","title":"mizer 2.0.3","text":"Correct handling shiny progress bar project().","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"enhancements-2-0-3","dir":"Changelog","previous_headings":"","what":"Enhancements","title":"mizer 2.0.3","text":"Consistently passing time argument rate functions. allow extensions implement time-dependent rates. Passing growth mortality rate RDI function. Simplified getRates() functions removing arguments passed rates. Instead required rates now always calculated within functions. Improved documentation rate functions register rate functions. validGearParams() handle NAs gracefully check duplicates. Updated hake-mullet selectivity demonstration shiny app. Improved user documentation several places.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"mizer-202","dir":"Changelog","previous_headings":"","what":"mizer 2.0.2","title":"mizer 2.0.2","text":"CRAN release: 2020-06-08","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"bug-fixes-2-0-2","dir":"Changelog","previous_headings":"","what":"Bug fixes","title":"mizer 2.0.2","text":"Time passed rate functions now actual simulation time, time elapsed since start simulation. upgradeParams() works also params objects created development version mizer. upgrading older params object, upgradeParams() better job guessing value w_pp_cutoff. getFeedingLevel(), getPredMort(), setInitialValues() steady() now work also model extra components. critical feeding level lines now mentioned legend plotFeedinglevel() called include_critical = TRUE, see #162. Avoid annoying warnings dplyr package species_params tibble.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"name-changes-2-0-2","dir":"Changelog","previous_headings":"","what":"Name changes","title":"mizer 2.0.2","text":"Renamed functions params(), effort() times() getParams(), getEffort() getTimes() avoid conflicts.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"minor-enhancements-2-0-2","dir":"Changelog","previous_headings":"","what":"Minor enhancements","title":"mizer 2.0.2","text":"improvements documentation. unit tests. Uses less memory time step small creating array effort values time step. getDiet() also takes account possible contributions user-defined components. extension mechanism, now name component also passed functions implementing dynamics, encounter mortality. project() called t_max < t_save t_save automatically reduced result t_max get saved. Start showing progress bar earlier project(). New helper function project_simple() projects given number time steps. might useful extension writers. ... argument project() passed dynamics rate functions. steady() runs faster using project_simple(). Documentation mizer website now search bar.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"mizer-201","dir":"Changelog","previous_headings":"","what":"mizer 2.0.1","title":"mizer 2.0.1","text":"CRAN release: 2020-05-05","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"bug-fixes-2-0-1","dir":"Changelog","previous_headings":"","what":"Bug fixes","title":"mizer 2.0.1","text":"summary() now also works non-default feeding kernels. #159 validSpeciesParams() longer fails w_mat25 specified. #160 setInitialValues() also works model single species. #161 resource_params()<- now works unit tests.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"name-changes-2-0-1","dir":"Changelog","previous_headings":"","what":"Name changes","title":"mizer 2.0.1","text":"inconsistencies choice names parameters removed renaming interaction_p -> interaction_resource r_resource -> resource_rate K_resource -> resource_capacity","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"minor-enhancements-2-0-1","dir":"Changelog","previous_headings":"","what":"Minor enhancements","title":"mizer 2.0.1","text":"New functions other_params()<- other_params() setting getting parameters, example used user-defined rate functions. setInitialValues() also sets initial_effort. #157","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"mizer-200","dir":"Changelog","previous_headings":"","what":"mizer 2.0.0","title":"mizer 2.0.0","text":"CRAN release: 2020-04-04 major new release many new features, internal refactoring code new extension mechanism.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"backwards-compatibility-2-0-0","dir":"Changelog","previous_headings":"","what":"Backwards compatibility","title":"mizer 2.0.0","text":"Nevertheless version mizer almost fully backwards compatible version 1.0 exception bug fixes following breaking changes: previous version mizer inconsistently truncated lognormal predation kernel calculating predation calculating encounter. new version never truncates. leads small differences simulation results. Removed print_it argument plot functions. plotFeedingLevel() now plots values within size range species. reason want old plots show feeding level also sizes fish can never , need supply argument .sizes = TRUE. way density-dependence reproduction rate set changed, see RDD argument setReproduction(). sex_ratio argument removed getRDI() getRDD(). set_scaling_model() function removed models can now set newTraitParams() options perfect_scaling = TRUE egg_size_scaling = TRUE. functions display_frames(), addSpecies(), setBackground() retuneAbundance() removed “mizerExperimental” package (https://sizespectrum.org/mizerExperimental/) runs project() progress bar displayed default. can turn option `progress_bar = FALSE. Throughout mizer term “plankton” replaced “resource”, affects labelling resource spectrum plots.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"setting-up-models-2-0-0","dir":"Changelog","previous_headings":"","what":"Setting up models","title":"mizer 2.0.0","text":"new functions newCommunityParams() newTraitParams() newMultispeciesParams() replace old functions set_community_model(), set_trait_model() MizerParams(), now deprecated. new functions choose better default values, particular metabolic rate maximum intake rate.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"setting-model-parameters-2-0-0","dir":"Changelog","previous_headings":"","what":"Setting model parameters","title":"mizer 2.0.0","text":"setting mizer model, possible change specific model parameters new functions species_params<-() resource_params<-() gear_params<-() setPredKernel() setSearchVolume() setInteraction() setMaxIntakeRate() setMetabolicRate() setExtMort() setReproduction() setFishing() setResource() new function setParams() wrapper functions also used setting new model newMultispeciesParams(). (#51) documentation functions serves explain details mizer model. Along setter functions accessor functions getting parameter arrays: getPredKernel(), getSearchVolume(), getInteraction(), getMaxIntakeRate(), getMetabolicRate(), getExtMort(), getMaturityProportion(), getReproductionProportion(), getCatchability(), getSelectivity(), getResourceRate(), getResourceCapacity(), getResourceParams(), getResourceDynamics(), Setting maximum reproduction rate separated new function setRmax().","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"initial-values-and-steady-state-2-0-0","dir":"Changelog","previous_headings":"","what":"Initial Values and steady state","title":"mizer 2.0.0","text":"MizerParams object now also contains initial values size spectra. particularly useful model tuned produce observed steady state. new function steady() finds steady state model sets initial value. initial values can accessed changed via functions initialN() initialNResource(). initial values can set final values previous simulation setInitialValues(). MizerParams object now slot initial_effort specifies initial fishing effort steady state calibrated.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"extension-mechanisms-2-0-0","dir":"Changelog","previous_headings":"","what":"Extension mechanisms","title":"mizer 2.0.0","text":"Mizer now extension mechanism allows R packages written generalise mizer model. See setRateFunction() setComponent(). mechanism still experimental may change gain experience writing extensions mizer.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"plotting-2-0-0","dir":"Changelog","previous_headings":"","what":"Plotting","title":"mizer 2.0.0","text":"Every plot function now plotly version makes plot interactive using plotly package. example plotlyBiomass() plotly version plotBiomass(), . New plotGrowthCurves() plots growth curves compares von Bertalanffy growth curve. New plotDiet() plots diet composition function predator size. New highlight argument plot functions display curves multiple species. Displays highlighted species wider lines. legends plots species now consistently ordered way species parameter data frame. plot functions time-resolved now accept also MizerParams object alternative MizerSim object plot initial state. New plot() method MizerParams object plot initial state. Avoiding duplicate graphs R Markdown documents. New argument include_critical plotFeedingLevel() allows show also critical feeding level. New wlim argument plotSpectra() analogy existing ylim argument limit w range plot. colours used plot functions can set setColours(). default line type solid can changed via setLinetypes() function. Use colour linetype plots irrespective number species.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"general-predation-kernel-2-0-0","dir":"Changelog","previous_headings":"","what":"General predation kernel","title":"mizer 2.0.0","text":"Users can now replace lognormal function predation kernel function choice, allowing differently shaped kernel species. New box_pred_kernel() implements box-shaped kernel alternative default lognormal_pred_kernel(). New power_law_pred_kernel() implements power-law kernel sigmoidal cutoffs ends. suitable filter feeders. Users can sets predation kernel predator-size-dependent predator/prey mass ration (via setPredKernel()). Mizer automatically falls back old non-FFT code handle . (#41) New getPredKernel() returns full 3-dimensional predation kernel array, even stored MizerParams object.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"new-gear-setup-2-0-0","dir":"Changelog","previous_headings":"","what":"New gear setup","title":"mizer 2.0.0","text":"Now finally possible several gears (fleets) targeting species. information set via new gear_params() data frame. See setFishing() details.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"other-new-functions-2-0-0","dir":"Changelog","previous_headings":"","what":"Other new functions","title":"mizer 2.0.0","text":"now accessor functions slots MizerParams MizerSim objects. example get size grid spacing now use w(), w_full(), dw(), dw_full(). New upgradeParams() upgradeSim() can upgrade objects previous versions mizer work new version. New getDiet() calculates diet predators. (#43) Alternative functions RickerRDD() SheperdRDD() density-dependence reproduction, well noRDD() constantRDD(). New gear selectivity function double_sigmoid_length() allows modelling escape large individuals. New gear selectivity function sigmoidal_weight() weight-based trawl selectivity function. (Ken H Andersen) New getGrowthCurves() calculates growth curves (size age). New mizerRates() calculates rates needed model collects list. convenience function times() extract times simulation results saved MizerSim object. Convenience functions finalN(), finalNResource() finalNOther() well idxFinalT() access values final time simulation. New function getCriticalFeedingLevel() returns critical feeding level species size. Mizer reexports melt() function reshape2 package allows users convert arrays returned mizer functions data frames can used example ggplot2 plotly. validSpeciesParams() checks validity species parameter data frame sets defaults missing required parameters.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"other-new-features-2-0-0","dir":"Changelog","previous_headings":"","what":"Other new features","title":"mizer 2.0.0","text":"allometric exponents n, p q well feeding level f0 can now set species level via columns species_params. critical feeding level fc can now specified species parameter used calculate metabolic rate parameter ks supplied. project() now shows progress bar simulation running. Can turned progress_bar = FALSE argument. Satiation can switched setting maximum intake rate Inf. Users can now set resource dynamics instead default resource_semichemostat(). Different species can interact resource different strengths, feed resource , controlled interaction_resource column species parameter data frame. steepness maturity ogive can now controlled via w_mat25 column species parameter dataframe, gives size 25% individuals species mature. scaling exponent allocation energy reproduction can now set via m column species parameter data frame. project() can now continue projection last time step previous simulation first argument MizerSim object. new append argument controls whether new results appended old. Values minimum resource size, minimum maximum consumer sizes set automatically provided newMultispeciesParams(). Default values species parameters used missing values within column species parameter data frame, column missing entirely. Rate functions take defaults n, n_pp n_other arguments initial values params argument. New perfect_scaling argument allows newTraitParams() produce perfectly scale-invariant model. new ext_mort_prop argument newTraitParams() allows inclusion external mortality. Added data fileNS_params North Sea model MizerParams object. Comments can added MizerParams objects slots. Slots comments protected overwritten allometric defaults. Gear selectivity functions now can use species parameters.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"documentation-2-0-0","dir":"Changelog","previous_headings":"","what":"Documentation","title":"mizer 2.0.0","text":"Mizer now documentation website https://sizespectrum.org/mizer/ latest released version https://sizespectrum.org/mizer/dev/ development version. (#48) help pages mizer functions extended massively, see example help newMultispeciesParams(). vignette chapters shown pages website. html help pages plotting functions now show example plots. Clarified mizer uses grams years size time units agnostic whether abundances per area, per volume per study area. (#42) Added tutorial using ggplot2 plotly mizer. Added tutorial working git GitHub mizer development. Added FAQ page developers. Added unit test automatically run spell check documentation. getmM2() -> getPredMort() plotM2 -> plotPredMort() getM2background() -> getResourceMort() getZ() -> getMort() getESpawning() -> getERepro() MizerParams() -> emptyParams() set_multispecies_model() Renamed maximum reproductive rate r_max R_max. Updated list publications (@Kenhasteandersen) Using R Markdown roxygen comments.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"bug-fixes-2-0-0","dir":"Changelog","previous_headings":"","what":"Bug fixes","title":"mizer 2.0.0","text":"getSSB(), calculation spawning stock biomass done correctly using maturity ogive instead proportion energy allocated reproduction. (#47) fast FFT method old method calculating integrals now give numerical results. (#39) getEncounter() getPredRate() now set names returned arrays. Resource carrying capacity scale-invariant model calculated way reduces rounding errors. Avoids potential problems negative numbers due numerical errors. Consistently cutting predation kernel 0 beta + 3 sigma. ylim argument handled correctly plots. display_frame() now exported. plotGrowthCurves() getGrowthCurves() also works single species t_start argument project() used correctly times truncated 3 significant figures, allow something like 2019. get_initial_n() gets values n q params object summary() MizerParams object reflects number non-empty resource bins. (@patricksykes)","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"under-the-hood-2-0-0","dir":"Changelog","previous_headings":"","what":"Under the hood","title":"mizer 2.0.0","text":"Now using vdiffr package test plots. Converted S4 methods functions decrease learning curve new developers. calculation defaults now handled new get_gamma_default(), get_h_default() get_ks_default(), making easier change extend future. Helper function set_species_param_default() makes easier set default values species parameters. Simplified FFT calculations readable. Using @inherit functionality roxygen2 reduce duplication roxygen documentation. Using `@family’ group function documentation pages. helper functions now documented exported. getPhiPrey() replaced getEncounter() now returns full encounter rate, including contribution components. Even absence components, getEncounter() differs old getPhiPrey() includes search volume factor. Changed naming convention: user-facing function names now camelCase. Consistently use params refer argument class MizerParams, sim refer argument class MizerSim, object argument can either. Updated calls setClass() follow new guidelines, replacing representation class removing prototype validity. Added numerical tests. Using assert_that check arguments functions often. Argument shiny_progress renamed progress_bar control type progress bar. documentation renamed “background” “plankton” consistently “resource”. Using outer() instead tapply() possible improve readability. Avoiding use hasArg() anyNA() available R 3.1 robust code setting size grids. Improved consistency issue warnings issue messages. Split large code files smaller files. Merged @std_metab @activity slots single @metab slot. Moved @w_min_idx @species_params slot. Added slot @maturity hold maturity ogive. Added slot @pred_kernel hold predation kernel variable predator/prey ratio. Added slot @resource_dynamics allow user specify alternative resource dynamics. Added slot @gear_dynamics species targeted multiple gears. Added slot @ft_mask used calculating predation rates using Fourier transform method. Added slot @rates_funcs allow mizer extensions replace mizer rate functions rate functions. Instead function slot @srr now name function @rate_funcs$RDD, see #91. Added slots @other_dynamics, @other_params, @other_encounter, @other_mort @initial_n_other allow mizer extensions add ecosystem components.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"mizer-101","dir":"Changelog","previous_headings":"","what":"mizer 1.0.1","title":"mizer 1.0.1","text":"CRAN release: 2019-01-27 Now compatible older versions R > 3.1.0. Skipping test CRAN fails machines different precision. Fixing minor typos documentation.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"mizer-10","dir":"Changelog","previous_headings":"","what":"mizer 1.0","title":"mizer 1.0","text":"CRAN release: 2018-05-01 Fixed bugs start time simulation handled. leads small corrections, output version slightly different previous versions. Introduced scale-invariant trait-based model, set set_scaling_model(), see section 12 vignette. Added function adds news species scale-invariant background, computes approximately steady state close power law, see section 13 vignette. Created example shiny app allow people use mizer web browser without install mizer. app explores effect selective fishing gear case study. Added units axes Added function plotting growth curves PlotYield() longer fails species names numbers species abundance zero Added total parameter several plot functions add curve total community (sum species resource) Added species parameter plot functions allow selection species plotted Allow number ticks y-axis biomass plot controlled Allow size- species-dependent background death. Add @initial_n @initial_n_pp slots MizerParams class. Now checking effort times increasing. Corrections documentation. Improvements vignette. Add test numeric solution analytic solution.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"mizer-04","dir":"Changelog","previous_headings":"","what":"mizer 0.4","title":"mizer 0.4","text":"CRAN release: 2017-12-14 Improvements made speed evaluating convolution sums via fft, removing bottlenecks getPhiPrey() getPredRate(). Using C++ inner loop project method extra speed. Minor corrections vignette documentation bring alignment document new home GitHub new maintainers.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"mizer-03","dir":"Changelog","previous_headings":"","what":"mizer 0.3","title":"mizer 0.3","text":"Improvements made speed simulations. Remaining bottle necks sweep statements getPhiPrey() getPredRate(). Moved tests new suggested folder. Minor changes documentation pass new check requirements.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"mizer-02","dir":"Changelog","previous_headings":"","what":"mizer 0.2","title":"mizer 0.2","text":"CRAN release: 2014-04-16 Release coincide submission MEE paper. major changes. Just minor bug fixes.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"mizer-01","dir":"Changelog","previous_headings":"","what":"mizer 0.1","title":"mizer 0.1","text":"CRAN release: 2013-10-08 Beta release - just works still gremlins sort . number features ’d like add coming releases.","code":""}]
+[{"path":"https://sizespectrum.org/mizer/AGENTS.html","id":null,"dir":"","previous_headings":"","what":"AI Agent Instructions for mizer","title":"AI Agent Instructions for mizer","text":"mizer R package dynamic multi-species size-spectrum modelling fish communities.","code":""},{"path":"https://sizespectrum.org/mizer/AGENTS.html","id":"common-commands","dir":"","previous_headings":"","what":"Common Commands","title":"AI Agent Instructions for mizer","text":"","code":"devtools::load_all()        # Load package for development devtools::document()        # Regenerate NAMESPACE and man/ pages from roxygen2 devtools::test()            # Run all tests devtools::check()           # Full R CMD check lintr::lint_package()       # Lint the package  # Run a single test file testthat::test_file(\"tests/testthat/test-filename.R\")  # After editing C++ source devtools::clean_dll(); devtools::load_all()"},{"path":"https://sizespectrum.org/mizer/AGENTS.html","id":"architecture","dir":"","previous_headings":"","what":"Architecture","title":"AI Agent Instructions for mizer","text":"MizerParams (S4) — central object passed nearly functions. Modified via setter functions return new copies: setFishing(params, ...), etc. MizerSim (S4) — stores simulation output: arrays n (time × species × size), n_pp, n_other, effort, MizerParams used. ArraySpeciesBySize / ArraySpeciesByTime (S3) — wrap 2D arrays metadata. assigning back S4 slots, use slot[] <- value (slot <- value) strip class. Customisable rate functions: users replace rate functions storing custom function name params@rates_funcs. Dispatch via get(params@rates_funcs$FunctionName)(params, ...). Auto-generated files — never edit NAMESPACE, man/, RcppExports.R, RcppExports.cpp directly.","code":""},{"path":"https://sizespectrum.org/mizer/AGENTS.html","id":"code-conventions","dir":"","previous_headings":"","what":"Code Conventions","title":"AI Agent Instructions for mizer","text":"Indentation: 4 spaces Naming: camelCase snake_case functions/variables; PascalCase classes Language: British English (en-GB) — “colour”, “behaviour”, “modelling”","code":""},{"path":"https://sizespectrum.org/mizer/AGENTS.html","id":"testing","dir":"","previous_headings":"","what":"Testing","title":"AI Agent Instructions for mizer","text":"Use expect_doppelganger() (vdiffr) plot tests Use snapshot tests complex outputs Run devtools::document() adding changing exports Run devtools::load_all() running tests modifying MizerParams MizerSim class (new/removed slots, changes @rates_funcs, etc.), follow steps .claude/skills/upgrade-mizer-data.md. Claude Code users can invoke /upgrade-mizer-data.","code":""},{"path":"https://sizespectrum.org/mizer/AGENTS.html","id":"before-submitting","dir":"","previous_headings":"","what":"Before Submitting","title":"AI Agent Instructions for mizer","text":"adding new file R/, add Collate: field DESCRIPTION (roxygen2 manage automatically package). Update NEWS.md adding features fixing bugs.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/CONTRIBUTING.html","id":"use-the-issue-tracker","dir":"","previous_headings":"","what":"Use the issue tracker","title":"How you can contribute to mizer development","text":"question mizer, problem using mizer, report bug mizer, idea something added made better mizer, please hesitate letting us know creating new issue https://github.com/sizespectrum/mizer/issues/. can drop us line mizer@sizespectrum.org make post size-spectrum discussion group.","code":""},{"path":"https://sizespectrum.org/mizer/CONTRIBUTING.html","id":"improve-the-documentation","dir":"","previous_headings":"","what":"Improve the documentation","title":"How you can contribute to mizer development","text":"Errors, shortcomings comment documentation can also submited issue issue tracker. case know correct error make improvement , can also help us editing page. top documentation pages link page source GitHub. page “Edit file” button looks like pencil. Click edit page. save edits GitHub guides process creating pull request edits, make super-easy us merge suggestions. even small contributions like removal simple typo welcome.","code":""},{"path":"https://sizespectrum.org/mizer/CONTRIBUTING.html","id":"contribute-an-example","dir":"","previous_headings":"","what":"Contribute an example","title":"How you can contribute to mizer development","text":"set mizer model area interest research question, please share us. best place MizerExamples package. Start creating issue package’s issue tracker just send email mizer@sizespectrum.org. discuss best integrate example package make useful others.","code":""},{"path":"https://sizespectrum.org/mizer/CONTRIBUTING.html","id":"contribute-code","dir":"","previous_headings":"","what":"Contribute code","title":"How you can contribute to mizer development","text":"happy receive pull requests new code bug fix. contribution appreciated community. new feature, best place submit pull request MizerExperimental package. feature can mature ready incorporated either core mizer package one extension packages.","code":""},{"path":"https://sizespectrum.org/mizer/CONTRIBUTING.html","id":"increase-mizer-usage-and-awareness","dir":"","previous_headings":"","what":"Increase mizer usage and awareness","title":"How you can contribute to mizer development","text":"forget mention use mizer documents publications. Use get citation info main reference mizer. can also link website https://sizespectrum.org/mizer/ readers can find project.","code":"citation('mizer')"},{"path":"https://sizespectrum.org/mizer/articles/a_multispecies_model_of_the_north_sea.html","id":"setting-up-the-north-sea-model","dir":"Articles","previous_headings":"","what":"Setting up the North Sea model","title":"A Multi-Species Model of the North Sea","text":"first job set MizerParams object North Sea model. previous multispecies examples already using life-history parameters interaction matrix North Sea model. use make changes. particular set fishing gears differently. species model : Sprat, Sandeel, N.pout, Herring, Dab, Whiting, Sole, Gurnard, Plaice, Haddock, Cod, Saithe, account 90% total biomass species sampled research trawl surveys North Sea. NS_species_params object comes example mizer package data.frame columns species, w_max, w_mat, beta, sigma, k_vb R_max. seen columns species data.frame sufficient make MizerParams object. missing columns filled default values MizerParams constructor. example, data.frame include columns h gamma. means estimated using k_vb column. use default density dependence reproduction rate, Beverton-Holt shape. requires column R_max species data.frame contains maximum reproduction rate species. column already NS_species_params data.frame. values found calibration process covered described separate tutorial. moment providing information selectivity gears species. default, selectivity function knife-edge takes single argument, knife_edge_size. model want selectivity pattern sigmoid shape accurately reflects selectivity pattern trawlers North Sea. sigmoid selectivity function expressed terms length rather weight uses parameters l25 l50, lengths 25% 50% stock selected. length based sigmoid selectivity looks like: \\[\\begin{equation} %     {#eq:trawl_sel}     S_l = \\frac{1}{1 + \\exp(S1 - S2\\ l)} \\end{equation}\\] \\(l\\) length individual, \\(S_l\\) selectivity length, \\(S2 = \\log(3) / (l50 - l25)\\) \\(S1 = l50 \\cdot S2\\). selectivity function included mizer sigmoid_length(). can see help page details. mizer model weight based, selectivity function length based, uses length-weight parameters b convert length weight using standard relation \\(w = l^b\\). species parameters need added columns NS_species_params data frame. sigmoid_length() arguments l25 l50. explained section fishing gears selectivity, arguments selectivity function need gear parameter data frame. also need column specifying name selectivity function wish use. Note probably easier put data *.csv file read rather type hand like : Note set gear column species caught separate gear named species. model interested projecting forward using historical fishing mortalities. historical fishing mortality 1967 2010 species stored csv file NS_f_history.csv included package. , can use read.csv() read data. reads data data.frame. want matrix use () function: can take look first years data: Fishing mortality calculated product selectivity, catchability fishing effort. values f_history absolute levels fishing mortality. seen fishing mortality mizer simulations driven fishing effort argument passed project() function. Therefore want project forward historical fishing levels, need provide project() effort values result historical fishing mortality levels. One model parameters really considered far catchability. Catchability scalar parameter used modify fishing mortality size given selectivity size effort fishing gear. default catchability value 1, meaning effort 1 results fishing mortality 1 fully selected species. considering historical fishing mortality, one option therefore leave catchability 1 species use f_history matrix fishing effort. However, alternative method use effort relative chosen reference year. can make effort levels used model meaningful. use year 1990 reference year. set catchability species fishing mortality 1990 effort 1 1990 result fishing mortality 1990. effort years relative effort 1990. Considering model parameters, use default values parameters apart kappa, carrying capacity resource spectrum (see see section resource density). estimated along values R_max part calibration process. now information need create MizerParams object using species parameters data.frame.","code":"NS_species_params ##    species   w_max w_mat   beta sigma  k_vb    R_max   w_inf ## 1    Sprat    33.0    13  51076   0.8 0.681 7.38e+11    33.0 ## 2  Sandeel    36.0     4 398849   1.9 1.000 4.10e+11    36.0 ## 3   N.pout   100.0    23     22   1.5 0.849 1.05e+13   100.0 ## 4  Herring   334.0    99 280540   3.2 0.606 1.11e+12   334.0 ## 5      Dab   324.0    21    191   1.9 0.536 1.12e+10   324.0 ## 6  Whiting  1192.0    75     22   1.5 0.323 5.48e+11  1192.0 ## 7     Sole   866.0    78    381   1.9 0.284 3.87e+10   866.0 ## 8  Gurnard   668.0    39    283   1.8 0.266 1.65e+12   668.0 ## 9   Plaice  2976.0   105    113   1.6 0.122 4.08e+14  2976.0 ## 10 Haddock  4316.5   165    558   2.1 0.271 1.84e+12  4316.5 ## 11     Cod 39851.3  1606     66   1.3 0.216 8.26e+09 39851.3 ## 12  Saithe 39658.6  1076     40   1.1 0.175 1.12e+11 39658.6 NS_species_params$a <- c(0.007, 0.001, 0.009, 0.002, 0.010, 0.006, 0.008, 0.004,                       0.007, 0.005, 0.005, 0.007) NS_species_params$b <- c(3.014, 3.320, 2.941, 3.429, 2.986, 3.080, 3.019, 3.198,                       3.101, 3.160, 3.173, 3.075) gear_params <-      data.frame(species = NS_species_params$species,                gear = NS_species_params$species,                sel_func = \"sigmoid_length\",                l25 =  c(7.6, 9.8, 8.7, 10.1, 11.5, 19.8, 16.4, 19.8, 11.5,                         19.1, 13.2, 35.3),                l50 = c(8.1, 11.8, 12.2, 20.8, 17.0, 29.0, 25.8, 29.0, 17.0,                        24.3, 22.9, 43.6)) gear_params ##    species    gear       sel_func  l25  l50 ## 1    Sprat   Sprat sigmoid_length  7.6  8.1 ## 2  Sandeel Sandeel sigmoid_length  9.8 11.8 ## 3   N.pout  N.pout sigmoid_length  8.7 12.2 ## 4  Herring Herring sigmoid_length 10.1 20.8 ## 5      Dab     Dab sigmoid_length 11.5 17.0 ## 6  Whiting Whiting sigmoid_length 19.8 29.0 ## 7     Sole    Sole sigmoid_length 16.4 25.8 ## 8  Gurnard Gurnard sigmoid_length 19.8 29.0 ## 9   Plaice  Plaice sigmoid_length 11.5 17.0 ## 10 Haddock Haddock sigmoid_length 19.1 24.3 ## 11     Cod     Cod sigmoid_length 13.2 22.9 ## 12  Saithe  Saithe sigmoid_length 35.3 43.6 f_location <- system.file(\"extdata\", \"NS_f_history.csv\", package = \"mizer\") f_history <- as(read.csv(f_location, row.names = 1), \"matrix\") head(f_history) ##      Sprat Sandeel N.pout   Herring        Dab   Whiting      Sole Gurnard ## 1967     0       0      0 1.0360279 0.09417655 0.8294528 0.6502019       0 ## 1968     0       0      0 1.7344576 0.07376065 0.8008995 0.7831250       0 ## 1969     0       0      0 1.4345001 0.07573638 1.3168280 0.8744095       0 ## 1970     0       0      0 1.4342405 0.10537236 1.3473505 0.6389915       0 ## 1971     0       0      0 1.8234973 0.08385884 0.9741884 0.8167561       0 ## 1972     0       0      0 0.9033768 0.09044461 1.3148588 0.7382834       0 ##         Plaice   Haddock       Cod    Saithe ## 1967 0.4708827 0.7428694 0.6677456 0.4725102 ## 1968 0.3688033 0.7084553 0.6994389 0.4270201 ## 1969 0.3786819 1.3302821 0.6917888 0.3844648 ## 1970 0.5268618 1.3670695 0.7070891 0.5987086 ## 1971 0.4192942 0.9173131 0.7737543 0.4827822 ## 1972 0.4522231 1.3279087 0.8393267 0.5796321 gear_params$catchability <- as.numeric(f_history[\"1990\", ]) params <- newMultispeciesParams(NS_species_params,                                  interaction = inter,                                  kappa = 9.27e10,                                 gear_params = gear_params) ## Because you have n != p, the default value for `h` is not very good. ## Because the age at maturity is not known, I need to fall back to using ## von Bertalanffy parameters, where available, and this is not reliable. ## No ks column so calculating from critical feeding level. ## Using z0 = z0pre * w_max ^ z0exp for missing z0 values. ## Using f0, h, lambda, kappa and the predation kernel to calculate gamma."},{"path":"https://sizespectrum.org/mizer/articles/a_multispecies_model_of_the_north_sea.html","id":"setting-up-and-running-the-simulation","dir":"Articles","previous_headings":"","what":"Setting up and running the simulation","title":"A Multi-Species Model of the North Sea","text":"set catchability level fishing mortality 1990, can run projection need rescale effort matrix get matrix efforts relative 1990. want rescale f_history object 1990 relative fishing effort 1990 = 1. done using R function sweep(). check rows effort matrix check happened: just project forward relative efforts. However, population dynamics early years strongly determined initial population abundances (known transient behaviour - essentially initial behaviour long term dynamics reached). ecology, don’t know initial abundance . One way around project forward constant fishing mortality equal mortality first historical year equilibrium reached. use steady state initial state simulation. approach reduces impact transient dynamics. now parameter object matrix efforts relative 1990. use effort matrix effort argument project() function. use dt = 0.25 (simulation run faster default value 0.1, tests show results still stable) save results every year. Plotting results, can see biomasses stocks change time.  explore state community useful calculate indicators unexploited community. Therefore also project forward steady state 0 fishing effort.","code":"relative_effort <- sweep(f_history, 2, f_history[\"1990\", ], \"/\") relative_effort[as.character(1988:1992), ] ##          Sprat   Sandeel    N.pout  Herring      Dab   Whiting      Sole ## 1988 0.8953804 1.2633229 0.8953804 1.214900 1.176678 0.9972560 1.2786517 ## 1989 1.1046196 1.2931034 1.1046196 1.232790 1.074205 0.8797926 0.9910112 ## 1990 1.0000000 1.0000000 1.0000000 1.000000 1.000000 1.0000000 1.0000000 ## 1991 1.1902174 0.8814002 1.1902174 1.108016 1.143110 0.8096927 1.0044944 ## 1992 1.2500000 0.8500522 1.2500000 1.316576 1.113074 0.7718676 0.9505618 ##        Gurnard   Plaice   Haddock      Cod    Saithe ## 1988 0.0000000 1.176678 0.9946140 1.045964 1.0330579 ## 1989 0.0000000 1.074205 0.8545781 1.060538 1.1223140 ## 1990 1.0000000 1.000000 1.0000000 1.000000 1.0000000 ## 1991 0.8096927 1.143110 0.7971275 1.001121 0.9619835 ## 1992 0.7718676 1.113074 0.8797127 0.970852 1.0528926 params <- projectToSteady(params, effort = relative_effort[\"1967\", ]) ## Convergence was achieved in 24 years. sim <- project(params, effort = relative_effort, dt = 0.25, t_save = 1) plotBiomass(sim) sim0 <- projectToSteady(params, effort = 0, return_sim = TRUE) ## Convergence was achieved in 42 years."},{"path":"https://sizespectrum.org/mizer/articles/a_multispecies_model_of_the_north_sea.html","id":"exploring-the-model-outputs","dir":"Articles","previous_headings":"","what":"Exploring the model outputs","title":"A Multi-Species Model of the North Sea","text":"look ways results simulation can explored. calculate community indicators mean maximum weight, mean individual weight, community slope large fish indicator (LFI) simulation period, compare unexploited values. also compare simulated values LFI community target based achieving high proportion unexploited value LFI \\(0.8 LFI_{F=0}\\). indicators calculated using functions described section indicator functions. calculate LFI community indicators unexploited community. calculating indicators include demersal species individuals size range 10 g 100 kg, LFI based species larger 40 cm. functions returns time series. interested equilibrium unexploited values just select final time step. also calculate time series indicators exploited community: can plot exploited unexploited indicators, along LFI reference level. using ggplot2 uses data.frames. make three data.frames (one time series, one unexploited levels one reference level): data.frame data.frame measures, stacked top . Historical (solid) unexploited (dashed) reference (dotted) community indicators North Sea multispecies model. According simulations, historically LFI North Sea reference level.","code":"demersal_species <- c(\"Dab\", \"Whiting\", \"Sole\", \"Gurnard\", \"Plaice\",                       \"Haddock\", \"Cod\", \"Saithe\") final <- idxFinalT(sim0) lfi0 <- getProportionOfLargeFish(sim0, species = demersal_species,                                  min_w = 10, max_w = 100e3,                                   threshold_l = 40)[[final]] mw0 <- getMeanWeight(sim0, species = demersal_species,                      min_w = 10, max_w = 100e3)[[final]] mmw0 <- getMeanMaxWeight(sim0, species = demersal_species,                          min_w = 10, max_w = 100e3)[final, \"mmw_biomass\"] slope0 <- getCommunitySlope(sim0, species = demersal_species,                             min_w = 10, max_w = 100e3)[final, \"slope\"] lfi <- getProportionOfLargeFish(sim, species = demersal_species,                                 min_w = 10, max_w = 100e3,                                  threshold_l = 40) mw <- getMeanWeight(sim, species = demersal_species,                     min_w = 10, max_w = 100e3) mmw <- getMeanMaxWeight(sim, species = demersal_species, min_w = 10,                         max_w = 100e3)[, \"mmw_biomass\"] slope <- getCommunitySlope(sim, species = demersal_species, min_w = 10,                            max_w = 100e3)[, \"slope\"] library(ggplot2) years <- 1967:2010 # Simulated data community_plot_data <- rbind(     data.frame(year = years, measure = \"LFI\", data = lfi),     data.frame(year = years, measure = \"Mean Weight\", data = mw),     data.frame(year = years, measure = \"Mean Max Weight\", data = mmw),     data.frame(year = years, measure = \"Slope\", data = slope)) # Unexploited data community_unfished_data <- rbind(     data.frame(year = years, measure = \"LFI\", data = lfi0),     data.frame(year = years, measure = \"Mean Weight\", data = mw0),     data.frame(year = years, measure = \"Mean Max Weight\", data = mmw0),     data.frame(year = years, measure = \"Slope\", data = slope0)) # Reference level community_reference_level <-     data.frame(year = years, measure = \"LFI\", data = lfi0 * 0.8) # Build up the plot ggplot(community_plot_data) +      geom_line(aes(x = year, y = data)) +     facet_wrap(~measure, scales = \"free\") +      geom_line(aes(x = year, y = data), linetype = \"dashed\",               data = community_unfished_data) +     geom_line(aes(x = year, y = data), linetype = \"dotted\",               data = community_reference_level)"},{"path":"https://sizespectrum.org/mizer/articles/a_multispecies_model_of_the_north_sea.html","id":"future-projections","dir":"Articles","previous_headings":"","what":"Future projections","title":"A Multi-Species Model of the North Sea","text":"well investigating historical simulations, can run projections future. run two projections 2050 different fishing scenarios. Continue fishing 2010 levels (status quo scenario). 2010 2015 linearly change fishing mortality approach \\(F_{MSY}\\) continue \\(F_{MSY}\\) 2050. Rather looking community indicators , calculate SSB species model compare projected levels biodiversity target based reference point \\(0.1 SSB_{F=0}.\\) can run simulations, need set arrays future effort. continue use effort relative level 1990. build existing array relative effort make array first scenario. Note use t() command transpose array. needed R recycles rows, need build array dimensions rotated start . make array future effort, bind underneath relative_effort array used previous section. relative effort array second scenario complicated make requires little bit R gymnastics (might easier prepare spreadsheet read ). one need values \\(F_{MSY}\\). now ready project two scenarios. can now compare projected SSB values scenarios biodiversity reference points. First calculate biodiversity reference points (final time step unexploited sim0 simulation): Now build data.frame projected SSB species. make use melt() function transform arrays data frames. Historical projected SSB two fishing scenarios. Status quo (red), Fmsy (yellow). Unexploited (blue) reference levels (purple) also shown.","code":"scenario1 <- t(array(relative_effort[\"2010\", ], dim = c(12, 40),     dimnames = list(NULL, year = 2011:2050))) scenario1 <- rbind(relative_effort, scenario1) fmsy <- c(Sprat = 0.2, Sandeel = 0.2, N.pout = 0.2, Herring = 0.25, Dab = 0.2,     Whiting = 0.2, Sole = 0.22, Gurnard = 0.2, Plaice = 0.25, Haddock = 0.3,     Cod = 0.19, Saithe = 0.3) scenario2 <- t(array(fmsy, dim = c(12, 40),                       dimnames = list(NULL, year = 2011:2050))) scenario2 <- rbind(relative_effort, scenario2) for (sp in dimnames(scenario2)[[2]]) {     scenario2[as.character(2011:2015), sp] <- scenario2[\"2010\", sp] +         (((scenario2[\"2015\", sp] - scenario2[\"2010\", sp]) / 5) * 1:5) } sim1 <- project(params, effort = scenario1, dt = 0.25) sim2 <- project(params, effort = scenario2, dt = 0.25) ssb0 <- getSSB(sim0)[final, ] years <- 1967:2050 ssb1_df <- melt(getSSB(sim1)) ssb2_df <- melt(getSSB(sim2)) ssb_df <- rbind(     cbind(ssb1_df, scenario = \"Status quo\"),     cbind(ssb2_df, scenario = \"Fmsy\")) ssb_unexploited_df <- cbind(expand.grid(     sp = names(ssb0),     time = 1967:2050),     value = as.numeric(ssb0),     scenario = \"Unexploited\") ssb_reference_df <- cbind(expand.grid(     sp = names(ssb0),     time = 1967:2050),     value = as.numeric(ssb0 * 0.1),     scenario = \"Reference\") ssb_all_df <- rbind(ssb_df, ssb_unexploited_df, ssb_reference_df) colours <- c(\"Status quo\" = \"red\", \"Fmsy\" = \"yellow\",              \"Unexploited\" = \"blue\", \"Reference\" = \"purple\") ggplot(ssb_all_df) +     geom_line(aes(x = time, y = value, colour = scenario)) +     facet_wrap(~sp, scales = \"free\", nrow = 4) +     theme(legend.position = \"none\") +     scale_colour_manual(values = colours)"},{"path":"https://sizespectrum.org/mizer/articles/analytic_test.html","id":"the-transport-equation","dir":"Articles","previous_headings":"","what":"The transport equation","title":"Analytic Test","text":"time evolution size spectrum \\(N(w)\\) described McKendrick-von Foerster equation added diffusion term: \\[\\begin{equation}   \\frac{\\partial N}{\\partial t} + \\frac{\\partial}{\\partial w} \\left( g N - \\frac{1}{2}\\frac{\\partial(D N)}{\\partial w} \\right) = -\\mu N \\end{equation}\\] \\(g(w)\\) growth rate, \\(\\mu(w)\\) mortality rate \\(D(w)\\) diffusion rate.","code":""},{"path":"https://sizespectrum.org/mizer/articles/analytic_test.html","id":"analytical-solution-for-power-law-rates","dir":"Articles","previous_headings":"","what":"Analytical solution for power-law rates","title":"Analytic Test","text":"look steady state solution \\(N(w)\\) rates power laws form: \\[\\begin{align} g(w) &= w^p \\\\ \\mu(w) &= B w^{p-1} \\\\ D(w) &= K w^{p+1} \\end{align}\\] try power-law ansatz solution: \\[ N(w) = C w^{-\\lambda} \\] Substituting forms transport equation steady state (\\(\\partial N / \\partial t = 0\\)): \\[ \\frac{\\partial}{\\partial w} \\left( w^p C w^{-\\lambda} - \\frac{1}{2}\\frac{\\partial}{\\partial w}(K w^{p+1} C w^{-\\lambda}) \\right) = - B w^{p-1} C w^{-\\lambda} \\] Simplifying term inside derivative: \\[ D N = K C w^{p+1-\\lambda} \\] \\[ \\frac{\\partial(D N)}{\\partial w} = K C (p+1-\\lambda) w^{p-\\lambda} \\] \\[ g N - \\frac{1}{2}\\frac{\\partial(D N)}{\\partial w} = \\left( - \\frac{1}{2} K (p+1-\\lambda) \\right) C w^{p-\\lambda} \\] Let \\(J_0 = C \\left( - \\frac{1}{2} K (p+1-\\lambda) \\right)\\). flux \\(J = J_0 w^{p-\\lambda}\\). Differentiating flux respect \\(w\\): \\[ \\frac{\\partial J}{\\partial w} = J_0 (p-\\lambda) w^{p-\\lambda-1} \\] RHS : \\[ -\\mu N = - B C w^{p-1-\\lambda} \\] Equating LHS RHS: \\[ C \\left( - \\frac{1}{2} K (p+1-\\lambda) \\right) (p-\\lambda) w^{p-\\lambda-1} = - B C w^{p-\\lambda-1} \\] Dividing \\(C w^{p-\\lambda-1}\\) (assuming \\(C \\neq 0\\) \\(w \\neq 0\\)): \\[ \\left( - \\frac{1}{2} K (p+1-\\lambda) \\right) (p-\\lambda) + B = 0 \\] Let \\(x = p - \\lambda\\). \\(p + 1 - \\lambda = x + 1\\). equation becomes: \\[ \\left( - \\frac{1}{2} K (x+1) \\right) x + B = 0 \\] \\[ Ax - \\frac{1}{2} K x^2 - \\frac{1}{2} K x + B = 0 \\] Multiply -2: \\[ K x^2 - (2A - K) x - 2B = 0 \\] quadratic equation \\(x = p - \\lambda\\). solutions : \\[ x = \\frac{(2A - K) \\pm \\sqrt{(2A - K)^2 + 8KB}}{2K} \\] interested solution corresponds limit small diffusion \\(K \\0\\). limit, \\(g N \\sim C w^{p-\\lambda}\\) \\(\\frac{\\partial (gN)}{\\partial w} \\sim C (p-\\lambda) w^{p-\\lambda-1}\\). transport equation without diffusion \\(\\frac{\\partial (gN)}{\\partial w} = -\\mu N\\). \\[ (p-\\lambda) = -B \\implies x = p-\\lambda = -B/\\] Since \\(, B > 0\\), \\(x\\) negative. Let’s check roots. \\((2A-K)^2 + 8KB > (2A-K)^2\\), square root larger \\(|2A-K|\\). term \\((2A-K)\\) positive small \\(K\\). positive root \\(\\frac{(2A-K) + \\text{larger}}{2K} > 0\\). negative root \\(\\frac{(2A-K) - \\text{larger}}{2K} < 0\\). need negative root. \\[ \\lambda = p - \\frac{(2A - K) - \\sqrt{(2A - K)^2 + 8KB}}{2K} \\]","code":""},{"path":"https://sizespectrum.org/mizer/articles/analytic_test.html","id":"numerical-verification","dir":"Articles","previous_headings":"","what":"Numerical verification","title":"Analytic Test","text":"verify analytical solution considering single species mizer checking project() function keeps system steady state.","code":"library(mizer)  # Parameters p <- 0.7 A <- 1 B <- 0.5 K <- 0.1  # Calculate lambda # coefficients for K x^2 - (2A - K) x - 2B = 0 a_quad <- K b_quad <- -(2*A - K) c_quad <- -2*B  det <- b_quad^2 - 4 * a_quad * c_quad x <- (-b_quad - sqrt(det)) / (2 * a_quad) lambda <- p - x  # Set up mizer params # We create a dummy species params <- newMultispeciesParams(data.frame(species = \"Test\",                                             w_inf = 1000,                                             w_mat = 100,                                             beta = 100,                                             sigma = 1,                                             k_vb = 0.1),                                  no_w = 1000, min_w = 1e-3) #> Warning in validGivenSpeciesParams(species_params): The species parameter data #> frame is missing a `w_max` column. I am copying over the values from the #> `w_inf` column. But note that `w_max` should be the maximum size of the largest #> individual, not the asymptotic size of an average indivdidual. #> Warning in validGivenSpeciesParams(species_params): The species parameter data #> frame is missing a `w_max` column. I am copying over the values from the #> `w_inf` column. But note that `w_max` should be the maximum size of the largest #> individual, not the asymptotic size of an average indivdidual. #> Because you have n != p, the default value for `h` is not very good. #> Because the age at maturity is not known, I need to fall back to using #> von Bertalanffy parameters, where available, and this is not reliable. #> No ks column so calculating from critical feeding level. #> Using z0 = z0pre * w_max ^ z0exp for missing z0 values. #> Using f0, h, lambda, kappa and the predation kernel to calculate gamma.  # Define custom rate functions # Growth start_growth <- function(params, ...) {     matrix(A * params@w^p, nrow = 1, byrow = TRUE) } # Mort start_mort <- function(params, ...) {     matrix(B * params@w^(p-1), nrow = 1, byrow = TRUE) } # RDD (Constant Flux) constant_rdd <- function(rdi, species_params, params, ...) {     w_min <- 1e-3 # Use the strict lower boundary of the system     # Flux J = N(w) * (g(w) - 0.5 * d/dw D(w))     # J = C * w^(p-lambda) * (A - 0.5 * K (p + 1 - lambda))     # C = 1 (from initial N)     J_min <- w_min^(p - lambda) * (A - 0.5 * K * (p + 1 - lambda))     structure(rep(J_min, length(rdi)), names = names(rdi)) }  # Assign to params params <- setRateFunction(params, \"EGrowth\", \"start_growth\") params <- setRateFunction(params, \"Mort\", \"start_mort\") params <- setRateFunction(params, \"RDD\", \"constant_rdd\")  # Set diffusion ext_diffusion(params)[1, ] <- K * w(params)^(p + 1)  # We also need to switch off resource dynamics and other things to avoid interference params <- setResource(params, resource_dynamics = \"resource_constant\") initialNResource(params) <- 0  # Set initial N to analytical solution initialN(params) <- matrix(w(params)^(-lambda), nrow = 1, byrow = TRUE)  # Run project # We verify that N stays constant. sim <- project(params, t_max = 1, dt = 0.001)  # Compare final N with initial N n0 <- initialN(params)[1, ] n1 <- finalN(sim)[1, ]  # Plot plot(w(params), n0, log=\"xy\", type=\"l\", col=\"blue\", lwd=2,       main=\"Comparison of numerical and analytical solution\",      xlab=\"Size\", ylab=\"Density\") lines(w(params), n1, col=\"red\", lty=2, lwd=2) legend(\"topright\", legend=c(\"Analytical\", \"Numerical\"),         col=c(\"blue\", \"red\"), lty=c(1, 2)) # Calculate relative error # Ignore the boundaries where boundary conditions apply idx <- 10:(length(w(params))-10) rel_err <- abs(n1[idx] - n0[idx]) / n0[idx] max_rel_err <- max(rel_err) print(paste(\"Maximum relative error (excluding boundaries):\", max_rel_err)) #> [1] \"Maximum relative error (excluding boundaries): 0.0384619887553153\"  if (max_rel_err < 0.05) {   print(\"Test passed: Numerical solution stays close to analytical steady state.\") } else {   print(\"Test failed: Numerical solution deviates from analytical steady state.\") } #> [1] \"Test passed: Numerical solution stays close to analytical steady state.\""},{"path":"https://sizespectrum.org/mizer/articles/analytic_test.html","id":"time-dependent-analytical-solution","dir":"Articles","previous_headings":"","what":"Time-dependent analytical solution","title":"Analytic Test","text":"facilitate analytical solution time-dependent problems, first transform size variable \\(w\\) new variable \\(x\\): \\[ x = \\frac{w^{1-p}}{1-p} \\] Assuming \\(p \\neq 1\\). \\(w = ((1-p)x)^{\\frac{1}{1-p}}\\) \\(\\frac{dx}{dw} = w^{-p}\\). define density \\(x\\)-space, \\(\\tilde{N}(x, t)\\), \\(\\tilde{N}(x, t) dx = N(w, t) dw\\). Thus: \\[ \\tilde{N}(x, t) = N(w, t) \\frac{dw}{dx} = N(w, t) w^p \\] Substituting transport equation simplifying leads PDE form: \\[ \\frac{\\partial \\tilde{N}}{\\partial t} = V x \\frac{\\partial^2 \\tilde{N}}{\\partial x^2} + (V - U) \\frac{\\partial \\tilde{N}}{\\partial x} - \\frac{b}{x} \\tilde{N} \\] : * \\(U = - \\frac{1}{2}K\\) * \\(V = \\frac{1}{2} K (1-p)\\) * \\(b = \\frac{B}{1-p}\\) fundamental solution (Green’s function) equation, describing evolution initial Dirac delta distribution \\(\\tilde{N}(x, 0) = \\delta(x - x_0)\\), given : \\[ G(x, t; x_0) = \\frac{1}{Vt} \\left( \\frac{x}{x_0} \\right)^{\\frac{U}{2V}} \\exp\\left( -\\frac{x+x_0}{Vt} \\right) I_\\nu \\left( \\frac{2\\sqrt{xx_0}}{Vt} \\right) \\] \\(I_\\nu\\) modified Bessel function first kind order \\(\\nu\\), given : \\[ \\nu = \\frac{1}{V} \\sqrt{U^2 + 4Vb} \\] solution terms original size distribution \\(N(w, t)\\) : \\[ N(w, t) = G(x(w), t; x(w_0)) w^{-p} \\]","code":""},{"path":"https://sizespectrum.org/mizer/articles/analytic_test.html","id":"numerical-verification-1","dir":"Articles","previous_headings":"Time-dependent analytical solution","what":"Numerical verification","title":"Analytic Test","text":"verify time-dependent solution starting simulation analytical distribution small time \\(t_{start} > 0\\) (avoid singularity \\(t=0\\)) projecting later time \\(t_{end}\\).","code":"# Function to calculate N analytic N_analytic <- function(w, t, w0, t0, params) {   # Parameters   p <- 0.7   A <- 1   B <- 0.5   K <- 0.1      # Transformed parameters   U <- A - 0.5 * K    V <- 0.5 * K * (1 - p)   b <- B / (1 - p)   nu <- sqrt((U/V)^2 + 4 * b / V)    # Time elapsed   dt <- t - t0   if (dt <= 0) stop(\"t must be greater than t0\")      # Transform to x   x <- w^(1 - p) / (1 - p)   x0 <- w0^(1 - p) / (1 - p)      # Argument for Bessel   z <- 2 * sqrt(x * x0) / (V * dt)      # Logarithm of N_tilde using scaled Bessel to avoid overflow   bessel_scaled <- besselI(z, nu, expon.scaled = TRUE)      log_N_tilde <- -log(V * dt) +                   (U / (2 * V)) * log(x / x0) -                   (x + x0) / (V * dt) +                   z +                   log(bessel_scaled)      N_tilde <- exp(log_N_tilde)      # Transform back to N(w)   N <- N_tilde * w^(-p)      return(N) }  # Initial Condition w0 <- 10 t_start <- 1 t_end <- 2  # Set RDD to exact analytical flux time_dep_rdd <- function(rdi, species_params, params, t, ...) {     # Parameters (must match those used in N_analytic)     p <- 0.7     A <- 1     B <- 0.5     K <- 0.1     w0 <- 10     t0 <- 0          # Transformed parameters     U <- A - 0.5 * K      V <- 0.5 * K * (1 - p)     b <- B / (1 - p)     nu <- sqrt((U/V)^2 + 4 * b / V)          # Time elapsed     dt <- t - t0     if (dt <= 0) return(structure(rep(0, length(rdi)), names = names(rdi)))          # Boundary w_min     w_min <- min(params@w)     x <- w_min^(1 - p) / (1 - p)     x0 <- w0^(1 - p) / (1 - p)          # Argument for Bessel     z <- 2 * sqrt(x * x0) / (V * dt)          # Calculate scaled Bessel ratio I_{nu+1}/I_nu     # besselI returns I_nu * exp(-z) with expon.scaled=TRUE     I_nu <- besselI(z, nu, expon.scaled = TRUE)     I_nu_plus_1 <- besselI(z, nu + 1, expon.scaled = TRUE)          if (I_nu == 0) {         J <- 0     } else {         ratio <- I_nu_plus_1 / I_nu                  # Calculate G (N_tilde) at boundary         # log(G) = ...         log_G <- -log(V * dt) +                   (U / (2 * V)) * log(x / x0) -                   (x + x0) / (V * dt) +                   z +                   log(I_nu) # I_nu is already scaled, so we add z back... wait.                  # The formula in N_analytic: log_N_tilde = ... + z + log(bessel_scaled)                  # This reconstructs the unscaled log value. Correct.                  G <- exp(log_G)                  # Flux J = G * [ U/2 + x/dt - (V*z/2) * ratio - (V*nu/2) ]         term <- U/2 + x/dt - (V * z / 2) * ratio - (V * nu / 2)         J <- G * term     }          structure(rep(J, length(rdi)), names = names(rdi)) }  params <- setRateFunction(params, \"RDD\", \"time_dep_rdd\")  # Set initial N from analytical solution initial_n <- N_analytic(w(params), t_start, w0, 0, params) initialN(params) <- matrix(initial_n, nrow = 1, byrow = TRUE)  # Run project sim <- project(params, t_max = t_end - t_start, dt = 0.001)  # Compare final_n_num <- finalN(sim)[1, ] final_n_ana <- N_analytic(w(params), t_end, w0, 0, params)  # Plot plot(w(params), final_n_num, log=\"xy\", type=\"l\", col=\"red\", lwd=2,       main=\"Time Dependent Check\", xlab=\"Size\", ylab=\"Density\") lines(w(params), final_n_ana, col=\"blue\", lty=2, lwd=2) legend(\"topright\", legend=c(\"Numerical\", \"Analytical\"), col=c(\"red\", \"blue\"), lty=c(1, 2)) # Robust comparison metrics # 1. Total Abundance (Conservation) total_n_num <- sum(final_n_num * params@dw) total_n_ana <- sum(final_n_ana * params@dw) rel_err_total <- abs(total_n_num - total_n_ana) / total_n_ana  # 2. Peak Location peak_idx_num <- which.max(final_n_num) peak_idx_ana <- which.max(final_n_ana) peak_w_num <- w(params)[peak_idx_num] peak_w_ana <- w(params)[peak_idx_ana] rel_err_peak_loc <- abs(peak_w_num - peak_w_ana) / peak_w_ana  # 3. Peak Height peak_val_num <- max(final_n_num) peak_val_ana <- max(final_n_ana) rel_err_peak_val <- abs(peak_val_num - peak_val_ana) / peak_val_ana  print(paste(\"Total Abundance Error:\", rel_err_total)) #> [1] \"Total Abundance Error: 7.06656338230903e-05\" print(paste(\"Peak Location Error:\", rel_err_peak_loc)) #> [1] \"Peak Location Error: 0.013734153868719\" print(paste(\"Peak Height Error:\", rel_err_peak_val)) #> [1] \"Peak Height Error: 0.0301244310252145\"  # Pass conditions: < 5% mass error, < 5% location shift, < 40% height difference (diffusive flattening) if (rel_err_total < 0.05 && rel_err_peak_loc < 0.05 && rel_err_peak_val < 0.4) {   print(\"Time-dependent test passed.\") } else {   print(\"Time-dependent test failed.\") } #> [1] \"Time-dependent test passed.\""},{"path":"https://sizespectrum.org/mizer/articles/analytic_test.html","id":"numerical-diffusion-test","dir":"Articles","previous_headings":"","what":"Numerical Diffusion Test","title":"Analytic Test","text":"upwind scheme introduces numerical diffusion \\(D_{num} \\approx g(w) \\Delta w\\). verify running projection zero physical diffusion comparing result analytical steady state solution system diffusion \\(D(w) = g(w) \\Delta w\\). test, use power law rates: \\(g(w) = w^p\\). \\(\\Delta w \\approx w \\delta\\) \\(\\delta = \\ln(10^{\\Delta x}) = \\ln(\\beta)\\). \\(D_{num} = g(w) \\Delta w + g(w)^2 \\Delta t\\). power law rates \\(g(w) = w^p\\), grid spacing \\(\\Delta w \\approx w \\delta\\), becomes: \\(D_{num} \\approx w^p \\cdot w \\delta + (w^p)^2 \\Delta t = (\\delta) w^{p+1} + ^2 \\Delta t w^{2p}\\). allow analytic solution simple power-law diffusion \\(D = K w^{p+1}\\), set \\(p=1\\) test. \\(D_{num} \\approx (\\delta + ^2 \\Delta t) w^2\\). corresponds \\(K = \\delta + ^2 \\Delta t\\).","code":"# Parameters for the test p_test <- 1 # Use p=1 to match diffusion scaling A_test <- 1 B_test <- 0.5  # Helper: Growth rate start_growth_test <- function(params, ...) {     matrix(A_test * params@w^p_test, nrow = 1, byrow = TRUE) }  # Helper: Mortality rate start_mort_test <- function(params, ...) {     matrix(B_test * params@w^(p_test-1), nrow = 1, byrow = TRUE) }  # Helper: RDD # We need to calculate K_num inside because it depends on params (resolution) constant_rdd_test <- function(rdi, species_params, params, ...) {     # Calculate effective K based on grid resolution     beta_grid <- params@w[2] / params@w[1]          # Grid spacing beta approx 1+delta     # K_spatial = A * (beta - 1)     # K_time = A^2 * dt     # We use dt = 0.01 in the project call below     dt <- 0.01          K_loc <- A_test * (beta_grid - 1) + A_test^2 * dt          # Calculate lambda for this K     # Solve quadratic: K x^2 - (2A - K) x - 2B = 0     a_q <- K_loc     b_q <- -(2*A_test - K_loc)     c_q <- -2*B_test     det <- b_q^2 - 4 * a_q * c_q     x <- (-b_q - sqrt(det)) / (2 * a_q)     lam <- p_test - x          w_min <- min(params@w)     J_min <- w_min^(p_test - lam) * (A_test - 0.5 * K_loc * (p_test + 1 - lam))     structure(rep(J_min, length(rdi)), names = names(rdi)) }  # Function to perform the numerical diffusion test run_numerical_diffusion_test <- function(no_w) {     # Create params     params <- newMultispeciesParams(data.frame(species = \"Test\",                                                 w_inf = 1000,                                                 w_mat = 100,                                                 beta = 100,                                                 sigma = 1,                                                 k_vb = 0.1),                                      no_w = no_w, min_w = 1e-3, max_w = 1000)          # Set rates     params <- setRateFunction(params, \"EGrowth\", \"start_growth_test\")     params <- setRateFunction(params, \"Mort\", \"start_mort_test\")     params <- setRateFunction(params, \"RDD\", \"constant_rdd_test\")          # NO physical diffusion     # We set the diffusion matrix to zero     ext_diffusion(params)[] <- 0          params <- setResource(params, resource_dynamics = \"resource_constant\")     initialNResource(params) <- 0          # Calculate analytic initial condition to start close to steady state     # We use the same logic as in constant_rdd_test to get lambda     beta_grid <- params@w[2] / params@w[1]     K_loc <- A_test * (beta_grid - 1)          a_q <- K_loc     b_q <- -(2*A_test - K_loc)     c_q <- -2*B_test     det <- b_q^2 - 4 * a_q * c_q     x <- (-b_q - sqrt(det)) / (2 * a_q)     lam <- p_test - x          # Initialize      initialN(params) <- matrix(params@w^(-lam), nrow = 1, byrow = TRUE)          # Project     sim <- project(params, t_max = 5, dt = 0.01)          n0 <- initialN(params)[1, ]     n1 <- finalN(sim)[1, ]          # Compare (ignore boundaries)     idx <- 10:(length(params@w)-10)          # Calculate error     err <- abs(n1[idx] - n0[idx]) / n0[idx]     mean(err) }  # Run the test err_100 <- run_numerical_diffusion_test(100) #> Warning in validGivenSpeciesParams(species_params): The species parameter data #> frame is missing a `w_max` column. I am copying over the values from the #> `w_inf` column. But note that `w_max` should be the maximum size of the largest #> individual, not the asymptotic size of an average indivdidual. #> Warning in validGivenSpeciesParams(species_params): The species parameter data #> frame is missing a `w_max` column. I am copying over the values from the #> `w_inf` column. But note that `w_max` should be the maximum size of the largest #> individual, not the asymptotic size of an average indivdidual. #> Because you have n != p, the default value for `h` is not very good. #> Because the age at maturity is not known, I need to fall back to using #> von Bertalanffy parameters, where available, and this is not reliable. #> No ks column so calculating from critical feeding level. #> Using z0 = z0pre * w_max ^ z0exp for missing z0 values. #> Using f0, h, lambda, kappa and the predation kernel to calculate gamma. err_400 <- run_numerical_diffusion_test(400) #> Warning in validGivenSpeciesParams(species_params): The species parameter data #> frame is missing a `w_max` column. I am copying over the values from the #> `w_inf` column. But note that `w_max` should be the maximum size of the largest #> individual, not the asymptotic size of an average indivdidual. #> Warning in validGivenSpeciesParams(species_params): The species parameter data #> frame is missing a `w_max` column. I am copying over the values from the #> `w_inf` column. But note that `w_max` should be the maximum size of the largest #> individual, not the asymptotic size of an average indivdidual. #> Because you have n != p, the default value for `h` is not very good. #> Because the age at maturity is not known, I need to fall back to using #> von Bertalanffy parameters, where available, and this is not reliable. #> No ks column so calculating from critical feeding level. #> Using z0 = z0pre * w_max ^ z0exp for missing z0 values. #> Using f0, h, lambda, kappa and the predation kernel to calculate gamma.  print(paste(\"Mean relative error with 100 bins:\", err_100)) #> [1] \"Mean relative error with 100 bins: 0.0335390242331932\" print(paste(\"Mean relative error with 400 bins:\", err_400)) #> [1] \"Mean relative error with 400 bins: 0.00716983337814119\"  # Check success if (err_400 < 0.05) {   print(\"Numerical diffusion test passed: Numerical solution (D=0) matches Analytic solution (D=D_num).\") } else {   print(\"Numerical diffusion test failed.\") } #> [1] \"Numerical diffusion test passed: Numerical solution (D=0) matches Analytic solution (D=D_num).\""},{"path":"https://sizespectrum.org/mizer/articles/cheatsheet.html","id":"accessing-simulation-arrays","dir":"Articles","previous_headings":"","what":"Accessing simulation arrays","title":"Cheatsheet: Analysis and Plotting","text":"functions extract raw arrays MizerSim object. Example: Pull Cod abundance:","code":"N(sim)[, \"Cod\", ]          # time × size for Cod N(sim)[\"2010\", \"Cod\", ]    # size vector for Cod in year 2010 finalN(sim)[\"Cod\", ]       # size vector for Cod at the final time step"},{"path":"https://sizespectrum.org/mizer/articles/cheatsheet.html","id":"summary-functions","dir":"Articles","previous_headings":"","what":"Summary functions","title":"Cheatsheet: Analysis and Plotting","text":"compute derived quantities abundances. accept MizerSim MizerParams. See ?summary_functions full list. Size range: getBiomass() getN() accept min_w, max_w, min_l, max_l restrict calculation size range. Example: result ArraySpeciesByTime (time × species) ArraySpeciesBySize (species × size), can plotted directly plot() — see Plotting arrays directly .","code":"getSSB(sim)                              # SSB of all species over time getBiomass(sim, min_w = 10, max_w = 1e4) # biomass of 10g–10kg fish getYield(sim)[\"2010\", ]                  # yield in year 2010"},{"path":"https://sizespectrum.org/mizer/articles/cheatsheet.html","id":"indicator-functions","dir":"Articles","previous_headings":"","what":"Indicator functions","title":"Cheatsheet: Analysis and Plotting","text":"compute community-level indicators. accept MizerSim (time series) MizerParams (single value initial state). See ?indicator_functions. Example:","code":"lfi <- getProportionOfLargeFish(sim, min_w = 10, max_w = 5000, threshold_w = 500) lfi[c(\"1972\", \"2010\")]  slope <- getCommunitySlope(sim, min_w = 10, max_w = 5000) head(slope)"},{"path":"https://sizespectrum.org/mizer/articles/cheatsheet.html","id":"plotting-functions","dir":"Articles","previous_headings":"","what":"Plotting functions","title":"Cheatsheet: Analysis and Plotting","text":"plotting functions return ggplot2 object can modified. plotly counterpart (e.g. plotlyBiomass()) interactive use. See ?plotting_functions.","code":""},{"path":"https://sizespectrum.org/mizer/articles/cheatsheet.html","id":"plots-against-time","dir":"Articles","previous_headings":"Plotting functions","what":"Plots against time","title":"Cheatsheet: Analysis and Plotting","text":"show quantity changes course simulation.","code":"plotBiomass(sim) plotBiomass(sim, species = c(\"Cod\", \"Herring\"), total = TRUE) plotBiomass(sim, start_time = 1980, end_time = 1990) plotYield(sim, log = FALSE)"},{"path":"https://sizespectrum.org/mizer/articles/cheatsheet.html","id":"plots-against-body-size","dir":"Articles","previous_headings":"Plotting functions","what":"Plots against body size","title":"Cheatsheet: Analysis and Plotting","text":"show quantity varies body size, default final time step. Use time_range average time period.","code":"plotSpectra(sim, power = 2, time_range = 1990:2000) plotFeedingLevel(sim, highlight = c(\"Cod\", \"Haddock\")) plotGrowthCurves(sim, species = \"Cod\", max_age = 20) plotDiet(params, species = \"Cod\")"},{"path":"https://sizespectrum.org/mizer/articles/cheatsheet.html","id":"summary-plot","dir":"Articles","previous_headings":"Plotting functions","what":"Summary plot","title":"Cheatsheet: Analysis and Plotting","text":"","code":"plot(sim)   # 5-panel summary: feeding level, biomass, predation mort, fishing mort, spectra"},{"path":"https://sizespectrum.org/mizer/articles/cheatsheet.html","id":"plotting-arrays-directly","dir":"Articles","previous_headings":"","what":"Plotting arrays directly","title":"Cheatsheet: Analysis and Plotting","text":"arrays returned summary functions carry class ArraySpeciesBySize ArraySpeciesByTime plot() ggplotly() methods. makes easy plot quantity without dedicated plot function. plot(<ArraySpeciesByTime>) accepts: species, start_time, end_time, total, background, highlight, log, ylim. plot(<ArraySpeciesBySize>) accepts: species, highlight, log_x, log_y, wlim, ylim, .sizes.","code":"plot(getBiomass(sim))          # equivalent to plotBiomass(sim) plot(getSSB(sim)) plot(getFeedingLevel(params))  # same as plotFeedingLevel(params)  # Interactive versions ggplotly(getBiomass(sim)) ggplotly(getEncounter(params))"},{"path":"https://sizespectrum.org/mizer/articles/cheatsheet.html","id":"common-arguments","dir":"Articles","previous_headings":"","what":"Common arguments","title":"Cheatsheet: Analysis and Plotting","text":"analysis plotting functions share optional arguments:","code":""},{"path":"https://sizespectrum.org/mizer/articles/cheatsheet.html","id":"working-with-ggplot2","dir":"Articles","previous_headings":"","what":"Working with ggplot2","title":"Cheatsheet: Analysis and Plotting","text":"plot*() functions return ggplot2 object, can customise : Change species colours line types via MizerParams object:","code":"library(ggplot2) p <- plotBiomass(sim, species = c(\"Cod\", \"Herring\")) p + theme_bw() + labs(title = \"Biomass through time\") p + geom_hline(aes(yintercept = 1e10), linetype = \"dashed\") params@linecolour[\"Cod\"] <- \"darkblue\" params@linetype[\"Cod\"]   <- \"dashed\""},{"path":"https://sizespectrum.org/mizer/articles/cheatsheet.html","id":"quick-reference","dir":"Articles","previous_headings":"","what":"Quick reference","title":"Cheatsheet: Analysis and Plotting","text":"","code":"# ── Accessing raw arrays ─────────────────────────────────────────────────────── N(sim)                  # time × species × size NResource(sim)          # time × size finalN(sim)             # species × size  (last time step) finalNResource(sim)     # size            (last time step)  # ── Species biomass / abundance / yield (time × species) ────────────────────── getBiomass(sim)         # total biomass getSSB(sim)             # spawning stock biomass getN(sim)               # total abundance (numbers) getYield(sim)           # catch in weight getYieldGear(sim)       # catch by gear (time × gear × species)  # ── Rates at size (time × species × size) ───────────────────────────────────── getFeedingLevel(sim)    # satiation (0 = starving, 1 = full) getPredMort(sim)        # predation mortality getFMort(sim)           # fishing mortality getFMortGear(sim)       # fishing mortality by gear (time × gear × species × size)  # ── Diet and trophic (species × size × …) ──────────────────────────────────── getDiet(params)                 # proportion of diet from each prey (predator × size × prey) getTrophicLevel(params)         # trophic level at size (species × size) getTrophicLevelBySpecies(params) # mean trophic level (species)  # ── Community indicators (time series) ──────────────────────────────────────── getProportionOfLargeFish(sim, threshold_w = 100) getMeanWeight(sim) getMeanMaxWeight(sim) getCommunitySlope(sim)          # returns data.frame with slope, intercept, R²  # ── Dedicated plot functions ─────────────────────────────────────────────────── plot(sim)               # 5-panel summary plotBiomass(sim)        # biomass vs time plotYield(sim)          # yield vs time plotYieldGear(sim)      # yield vs time, faceted by gear plotSpectra(sim)        # abundance spectra vs size plotFeedingLevel(sim)   # feeding level vs size plotPredMort(sim)       # predation mortality vs size plotFMort(sim)          # fishing mortality vs size plotGrowthCurves(sim)   # size vs age plotDiet(params, species = \"Cod\")  # diet composition vs size  # ── Plot any summary array directly ─────────────────────────────────────────── plot(getBiomass(sim))           # ArraySpeciesByTime → value vs time plot(getFeedingLevel(params))   # ArraySpeciesBySize → value vs size ggplotly(getBiomass(sim))       # interactive version  # ── Add plotly interactivity to any named plot function ─────────────────────── plotlyBiomass(sim) plotlySpectra(sim) plotlyFeedingLevel(sim) # … etc."},{"path":"https://sizespectrum.org/mizer/articles/cohort_dynamics_and_diffusion.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"Cohort dynamics and diffusion","text":"vignette explore yearly cohorts fish evolve time single-species size-spectrum model. drive model short burst reproductive flux year, creating distinct cohorts. visualise cohorts grow size spectrum diffusion rate affects spreading cohorts time. Diffusion size-spectrum model represents individual variability growth rates. Without diffusion, individuals born time grow deterministic rate remain together sharp cohort. diffusion, individuals spread size, causing cohort broaden ages.","code":"library(mizer) library(ggplot2) library(plotly)"},{"path":"https://sizespectrum.org/mizer/articles/cohort_dynamics_and_diffusion.html","id":"setting-up-the-model","dir":"Articles","previous_headings":"","what":"Setting up the model","title":"Cohort dynamics and diffusion","text":"start creating single-species model using newSingleSpeciesParams(). sets species embedded power-law background community.","code":"params <- newSingleSpeciesParams(h = 10, no_w = 400) params <- steady(params)"},{"path":"https://sizespectrum.org/mizer/articles/cohort_dynamics_and_diffusion.html","id":"pulsed-reproduction","dir":"Articles","previous_headings":"","what":"Pulsed reproduction","title":"Cohort dynamics and diffusion","text":"create distinct yearly cohorts, need reproduction happen short bursts rather continuously. achieve writing custom density-dependent reproduction rate function (RDD function) allows reproduction brief window start year. First, calculate steady-state reproduction rate. tells us total egg production rate needed maintain population. use value magnitude annual pulse. RDD function receives current time t argument. use turn reproduction short window start year times. maintain total annual egg production, scale rate pulse compensate short duration. store steady-state RDD value species parameters function can access , register function:","code":"rdd_steady <- getRDD(params) cat(\"Steady-state RDD:\", rdd_steady, \"\\n\") ## Steady-state RDD: 0.2801128 # Custom RDD function: pulsed reproduction using a fixed rate pulse_width <- 0.1  # Reproduce during first 10% of each year  annual_pulse_RDD <- function(rdi, species_params, t, ...) {     frac <- t %% 1     if (frac < pulse_width) {         # Scale up to maintain total annual reproduction         return(species_params$rdd_steady / pulse_width)     } else {         return(0 * rdi)     } } params_pulse <- params species_params(params_pulse)$rdd_steady <- rdd_steady params_pulse <- setRateFunction(params_pulse, \"RDD\", \"annual_pulse_RDD\")"},{"path":"https://sizespectrum.org/mizer/articles/cohort_dynamics_and_diffusion.html","id":"simulating-cohort-dynamics-without-diffusion","dir":"Articles","previous_headings":"","what":"Simulating cohort dynamics without diffusion","title":"Cohort dynamics and diffusion","text":"start empty spectrum (fish) let pulsed reproduction create cohorts scratch. Let’s visualise size spectrum different time points see cohorts: Without diffusion, cohort appears relatively sharp peak moves right (towards larger sizes) fish grow.","code":"params_empty <- params_pulse initialN(params_empty)[] <- 0  sim_no_diff <- project(params_empty, t_max = 5, dt = 0.05,                        t_save = 0.1, progress_bar = FALSE) times_to_plot <- c(0.5, 1, 1.5, 2, 3, 4) w <- params_pulse@w  plot_list <- list() for (tt in times_to_plot) {     idx <- which.min(abs(as.numeric(dimnames(sim_no_diff@n)$time) - tt))     actual_time <- as.numeric(dimnames(sim_no_diff@n)$time[idx])     n_at_t <- as.numeric(sim_no_diff@n[idx, 1, ])     pos <- n_at_t > 0     if (any(pos)) {         plot_list[[length(plot_list) + 1]] <- data.frame(             w = w[pos], n = n_at_t[pos] * w[pos]^2,             time = factor(paste0(\"t = \", actual_time))         )     } } plot_data <- do.call(rbind, plot_list)  p <- ggplot(plot_data, aes(x = w, y = n, colour = time)) +     geom_line(linewidth = 0.8) +     scale_x_log10(limits = c(1e-3, 100)) +     # scale_y_log10() +     labs(x = \"Weight [g]\", y = \"Biomass density [g]\",          title = \"Cohort evolution without diffusion\",          colour = \"Time\") +     theme_minimal(base_size = 14)  ggplotly(p)"},{"path":"https://sizespectrum.org/mizer/articles/cohort_dynamics_and_diffusion.html","id":"adding-diffusion","dir":"Articles","previous_headings":"","what":"Adding diffusion","title":"Cohort dynamics and diffusion","text":"Now let’s add diffusion model. Diffusion set array dimensions species × size via setExtDiffusion(). ’ll set constant diffusion rate across sizes. define helper function runs simulation given diffusion coefficient:","code":"run_with_diffusion <- function(params_base, diff_coeff, diff_exp, t_max = 5) {     p <- params_base     d <- p@ext_diffusion     d[] <- diff_coeff * w ^ diff_exp     p <- setExtDiffusion(p, ext_diffusion = d)     initialN(p)[] <- 0     sim <- project(p, t_max = t_max, dt = 0.05,                    t_save = 0.1, progress_bar = FALSE)     return(sim) }"},{"path":"https://sizespectrum.org/mizer/articles/cohort_dynamics_and_diffusion.html","id":"comparing-different-diffusion-rates","dir":"Articles","previous_headings":"","what":"Comparing different diffusion rates","title":"Cohort dynamics and diffusion","text":"Let’s compare simulations diffusion, low diffusion, high diffusion: Now let’s visualise cohorts specific time point see diffusion affects shape:  can see diffusion large effect speed cohort peaks moving much effect broadening peaks.","code":"diff_exp <- params_pulse@species_params$n + 1 sim_d0 <- run_with_diffusion(params_pulse, diff_coeff = 0, diff_exp = diff_exp) sim_d_low <- run_with_diffusion(params_pulse, diff_coeff = 0.1, diff_exp = diff_exp) sim_d_high <- run_with_diffusion(params_pulse, diff_coeff = 0.5, diff_exp = diff_exp) snapshot_time <- 3  build_snapshot <- function(sim, label) {     idx <- which.min(abs(as.numeric(dimnames(sim@n)$time) - snapshot_time))     n_at_t <- as.numeric(sim@n[idx, 1, ])     w <- sim@params@w     pos <- n_at_t > 0     if (any(pos)) {         data.frame(w = w[pos], n = n_at_t[pos], diffusion = label)     } else {         data.frame(w = numeric(0), n = numeric(0), diffusion = character(0))     } }  snapshot_data <- rbind(     build_snapshot(sim_d0, \"D = 0 (no diffusion)\"),     build_snapshot(sim_d_low, \"D = 0.1 (low)\"),     build_snapshot(sim_d_high, \"D = 0.5 (high)\") )  ggplot(snapshot_data, aes(x = w, y = n * w^2, colour = diffusion)) +     geom_line(linewidth = 0.8) +     scale_x_log10(limits = c(1e-3, 100)) +     # scale_y_log10() +     labs(x = \"Weight [g]\", y = \"Biomass density [g]\",          title = paste0(\"Effect of diffusion on cohorts at t = \",                         snapshot_time),          colour = \"Diffusion rate\") +     theme_minimal(base_size = 14)"},{"path":"https://sizespectrum.org/mizer/articles/cohort_dynamics_and_diffusion.html","id":"time-evolution-with-diffusion","dir":"Articles","previous_headings":"","what":"Time evolution with diffusion","title":"Cohort dynamics and diffusion","text":"Let’s look full time evolution size spectrum moderate diffusion see cohorts spread time:  time progresses, see : New cohorts enter egg size year. cohort grows towards larger sizes. diffusion causes cohort spread ages. Eventually, older cohorts merge together spreading overwhelms year--year separation.","code":"diff_exp <- params_pulse@species_params$n + 1 sim_d_med <- run_with_diffusion(params_pulse, diff_coeff = 0.05, diff_exp = diff_exp)  times_to_plot <- c(0.5, 1, 2, 3, 4, 5)  plot_list_diff <- list() for (tt in times_to_plot) {     idx <- which.min(abs(as.numeric(dimnames(sim_d_med@n)$time) - tt))     actual_time <- as.numeric(dimnames(sim_d_med@n)$time[idx])     n_at_t <- as.numeric(sim_d_med@n[idx, 1, ])     pos <- n_at_t > 0     if (any(pos)) {         plot_list_diff[[length(plot_list_diff) + 1]] <- data.frame(             w = w[pos], n = n_at_t[pos] * w[pos]^2,             time = factor(paste0(\"t = \", actual_time))         )     } } plot_data_diff <- do.call(rbind, plot_list_diff)  ggplot(plot_data_diff, aes(x = w, y = n, colour = time)) +     geom_line(linewidth = 0.8) +     scale_x_log10(limits = c(1e-3, 100)) +     # scale_y_log10() +     labs(x = \"Weight [g]\", y = \"Number density [1/g]\",          title = \"Cohort evolution with moderate diffusion (D = 0.05)\",          colour = \"Time\") +     theme_minimal(base_size = 14)"},{"path":"https://sizespectrum.org/mizer/articles/cohort_dynamics_and_diffusion.html","id":"heatmap-visualisation","dir":"Articles","previous_headings":"","what":"Heatmap visualisation","title":"Cohort dynamics and diffusion","text":"heatmap provides compact view entire dynamics, showing size spectrum evolves continuously time:  heatmap, diagonal bands represent individual cohorts growing size spectrum. broadening bands time effect diffusion.","code":"all_times <- as.numeric(dimnames(sim_d_med@n)$time)  heatmap_list <- list() for (i in seq_along(all_times)) {     n_at_t <- as.numeric(sim_d_med@n[i, 1, ])     pos <- n_at_t > 0     if (any(pos)) {         heatmap_list[[length(heatmap_list) + 1]] <- data.frame(             time = all_times[i],             w = w[pos],             log_n = n_at_t[pos] * w[pos]^2         )     } } heatmap_data <- do.call(rbind, heatmap_list)  ggplot(heatmap_data, aes(x = time, y = w, fill = log_n)) +     geom_raster(interpolate = TRUE) +     scale_y_log10() +     scale_fill_viridis_c(name = expression(log[10](N))) +     labs(x = \"Time [years]\", y = \"Weight [g]\",          title = \"Size spectrum over time (D = 0.05)\") +     theme_minimal(base_size = 14)"},{"path":"https://sizespectrum.org/mizer/articles/cohort_dynamics_and_diffusion.html","id":"summary","dir":"Articles","previous_headings":"","what":"Summary","title":"Cohort dynamics and diffusion","text":"vignette demonstrated: set single-species model newSingleSpeciesParams(). implement pulsed annual reproduction using custom RDD function. cohorts fish grow size spectrum time. diffusion, set via setExtDiffusion(), controls spreading cohorts — representing individual variability growth rates.","code":""},{"path":"https://sizespectrum.org/mizer/articles/community_model.html","id":"sec:set_up_comm_model","dir":"Articles","previous_headings":"","what":"Setting up a community model","title":"The Community Model","text":"first stage implementing model using mizer create object class MizerParams. class contains model parameters including life-history parameters species model, fishing selectivity functions parameters resource spectrum. avoid make MizerParams object directly, newCommunityParams() wrapper function, provided conveniently creates MizerParams object specifically community model. documentation function can seen clicking function name anywhere appears page: newCommunityParams(). can seen help page, function can take many arguments. can ignore moment almost come default values. arguments pay attention : z0 (external mortality rate), alpha (assimilation efficiency community), f0 (average feeding level community, used calculate \\(\\gamma\\)) h (coefficient maximum intake rate). Although default values parameters provided, encouraged explore changing values affects simulated community. example, default value z0 \\(0.1\\). Increasing value effectively ‘shortens’ length community spectrum. newCommunityParams() function called passing arguments name. parameter passed set default value. example, following line sets parameters z0 = 0.05, f0 = 0.5. parameters default value: Calling function creates returns object type MizerParams. can check using class() function. work mizer worry object realised internally. need know contains information needed run model simulations mizer provides functions access, use modify information. brief description model contained MizerParams object can seen calling summary() method : summary can see size range community spectrum set \\(0.001\\) \\(10^{6}\\) divided \\(100\\) size bins. Similar information available resource spectrum. Additionally, community made one species, called Community, maximum size \\(10^{6}\\) preferred predator prey mass ratio \\(100\\). w_mat parameter set NA used running community model. values set default using newCommunityParams() function.","code":"params <- newCommunityParams(z0 = 0.05, f0 = 0.5) class(params) ## [1] \"MizerParams\" ## attr(,\"package\") ## [1] \"mizer\" summary(params) ## An object of class \"MizerParams\"  ## mizer version: 2.5.4.9125 ## Created: 2026-05-07 18:47:21 ## Modified: 2026-05-07 18:47:21 ## Consumer size spectrum: ##  minimum size:   0.001 ##  maximum size:   1e+06 ##  no. size bins:  100 ## Resource size spectrum: ##  minimum size:   8.11131e-11 ##  maximum size:   0.000811131 ##  no. size bins:  78  (178 size bins in total) ## Species details: ##     species w_max  w_mat w_min  f0 beta sigma ## 1 Community 1e+06 250000 0.001 0.5  100     2 ##  ## Fishing gear details: ## Gear          Effort  Target species  ##  ---------------------------------- ## Community      0.00   Community"},{"path":"https://sizespectrum.org/mizer/articles/community_model.html","id":"sec:running_comm_model","dir":"Articles","previous_headings":"","what":"Running the community model","title":"The Community Model","text":"newCommunityParams() function given us MizerParams object contains information mizer needs model community. can use perform simulation project community time. mizer package, projections performed using project() function. can see help page project() details described fully section running simulation. ignore details moment just use project() run simple projections. arguments project() need concerned effort, determines fishing effort (therefore fishing mortality) time, t_max, number years want project future. Initial population abundances set automatically (get_initial_n() function). possible set initial abundances . run projection 50 years, fishing effort (.e. want model unexploited community) run: resulting object, sim, type MizerSim. class holds results simulation, including community resource abundances size time, well original model parameters. explained detail section running simulation. running projection, possible explore results using range plots analyses. described fully section exploring simulation results. quickly look results projection can call plot() method. plots feeding level, predation mortality, fishing mortality abundance size last time step simulation, total biomass time. plots can shown individually desired.  plot several things going worth talking . Looking total biomass community time, can see biomass quickly reaches stable equilibrium. panels show happening last time step simulation, case community equilibrium. Fishing mortality 0 set effort argument 0 running simulation. predation mortality rate clearly function size, smallest sizes experiencing highest levels predation. feeding level describes satiated individual , 0 unfed, 1 full satiated. feeding level size strongly affected values f0 alpha arguments passed newCommunityParams() function. resource community spectra shown bottom panel plot (plotted resource spectrum truncated make better plot, really extends way back \\(8.11\\times 10^{-11}\\) g). can see community spectrum forms continuum resource spectrum. strongly affected level fixed reproduction rate (reproduction argument passed newCommunityParams()) Note hump biomass largest end community spectrum. size spectrum model can broadly described ‘big things eating little things’. Given , eating biggest things? Without fishing pressure, mortality largest individuals external mortality (determined z0 argument) mortality predation almost 0. difficult see plot due predation mortality high smaller individuals. can see clearly extracting predation mortality information MizerSim object, sim, created . easily done using getPredMort() function (see help page details). several functions can used extracting information MizerSim object, e.g. getFeedingLevel() getFMort(). information see section exploring simulation results. just call getPredMort() using sim object: resulting pred_mort object array contains predation mortality time species size. one species species dimension dropped, leaving us two dimensional array time size. projected model \\(50\\) time steps length time dimension \\(51\\) initial population also included time step. can get index final time pull predation mortality size final time step use: plot predation mortality log-log scale can see predation mortality declines almost zero largest sizes.  Note used w(sim) get vector sizes plot along x-axis specified wanted logarithmic axes. long run worthwhile use ggplot2 package creating plots, show also create graph ggplot(). detail see section using ggplot2 plotly mizer.","code":"sim <- project(params, t_max = 50, effort = 0) class(sim) ## [1] \"MizerSim\" ## attr(,\"package\") ## [1] \"mizer\" plot(sim) pred_mort <- getPredMort(sim) idxFinalT(sim) ## [1] 51 pred_mort_final <- pred_mort[idxFinalT(sim), ] plot(x = w(params), y = pred_mort_final, log = \"xy\", type = \"l\",       xlab = \"Size [g]\", ylab = \"Predation mortality [1/year]\") library(ggplot2) sd <- data.frame(x = w(params), y = pred_mort_final) ggplot(sd, aes(x = x, y = y)) +   geom_line() +   scale_x_log10() + scale_y_log10() +   xlab(\"Size [g]\") + ylab(\"Predation mortality [1/year]\") ## Warning in scale_y_log10(): log-10 transformation introduced ## infinite values."},{"path":"https://sizespectrum.org/mizer/articles/community_model.html","id":"sec:trophic_cascade_comm_model","dir":"Articles","previous_headings":"","what":"Example of a trophic cascade with the community model","title":"The Community Model","text":"possible use community model simulate trophic cascade. need perform two simulations, one fishing one without. means need consider fishing handled mizer. newCommunityParams() function automatically sets fishing selectivity knife-edge shape, individuals larger 1 kg selected (size knife-edge can changed setting knife_edge_size argument). Although possible change selectivity function, use default knife-edge selectivity. set parameter object default parameters: First perform simulation without fishing way setting effort argument 0: Now want simulate , time fishing. simulations, fishing mortality calculated product fishing selectivity, effort catchability (see section fishing gears details). default catchability set 1. means fishing effort 1 result fishing mortality 1/year fully selected sizes. run simulation fishing effort set 1 duration simulation: can compare difference scenarios using plot() method . particular interest fishing mortality size. knife-edge selectivity 1000 g can clearly seen effort 1 resulted fishing mortality 1 fully selected sizes.  explore presence trophic cascade, interested looking relative change abundance community fished compared fished. need get abundances size simulation objects. done N() function, returns three dimensional array dimensions time x species x size. 51 time steps (50 simulation plus one stores initial population), 1 species 100 sizes: want abundances final time step, can use calculate relative abundances: convenience, save determine index final time, mizer provides function finalN(), done can plotted using basic R plotting commands.  impact fishing species larger 1000g can clearly seen. fishing pressure lowers abundance large fish (decrease relative abundance 1000 g). relieves predation pressure smaller prey (preferred predator-prey size ratio given \\(\\beta\\) parameter, set 100 default), leading increase abundance. turn increases predation mortality smaller prey, reduces abundance .","code":"params_knife <- newCommunityParams() sim0 <- project(params_knife, effort = 0, t_max = 50) sim1 <- project(params_knife, effort = 1, t_max = 50) plot(sim1, power = 2) dim(N(sim0)) ## [1]  51   1 100 relative_abundance <- N(sim1)[51, , ] / N(sim0)[51, , ] relative_abundance <- finalN(sim1) / finalN(sim0) plot(x = w(params), y = relative_abundance, log = \"x\", type = \"n\",     xlab = \"Size (g)\", ylab = \"Relative abundance\") lines(x = w(params), y = relative_abundance) lines(x = c(min(w(params)), max(w(params))), y = c(1, 1), lty = 2)"},{"path":"https://sizespectrum.org/mizer/articles/community_model.html","id":"sec:comm_model_change_sigma","dir":"Articles","previous_headings":"","what":"The impact of changing \\(\\sigma\\)","title":"The Community Model","text":"described , \\(\\sigma\\) parameter determines width predator prey size preference. take look changing value \\(\\sigma\\) can affect dynamics community. examples , \\(\\sigma\\) set newCommunityParams() function default value \\(2\\). can see looking sigma column species_params data frame contained MizerParams object: projected time, community abundances converge stable equilibrium. happens reduce value \\(\\sigma\\), example setting 1.0? can passing new value \\(\\sigma\\) newCommunityParams(). want project new model time using project() function. project new parameter object 50 time steps without fishing save intervals 0.1 years (t_save = 0.1): Note introduced new argument: \\(dt\\). step size solver. anything biology model. affects internal engine project() performs projection. can see underlying model equations model description section, model formulated continuous time. Therefore, project forward, project() must solve system equations using numerical methods. quality methods strongly affected \\(dt\\). default value \\(dt\\) 0.1, fine projections run document. necessary reduce value 0.01 avoid introducing artefacts projected values. Decreasing \\(dt\\) increases time takes run projection. Let’s take look abundances change time. can plotBiomass() function:  plot shows abundances community longer converge stable equilibrium dynamics appear chaotic. ecological significance change dynamics, ability simple community models show chaotic behaviour, still debated. can argued size oscillations large ‘true’. Additionally, trait-based model implemented, magnitude oscillations much smaller. next section trait based model.","code":"species_params(params)$sigma ## [1] 2 params_sigma1 <- newCommunityParams(sigma = 1) sim_sigma1 <- project(params_sigma1, effort = 0, t_max = 50,                        dt = 0.01, t_save = 0.1) plotBiomass(sim_sigma1)"},{"path":"https://sizespectrum.org/mizer/articles/developer_vignette.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"Developer Guide","text":"guide need extend mizer meet needs research project. already read mizer model description vignette(\"model_description\") thus familiar mizer can box. now want implement extension modification model required research, need dive internal workings mizer. guide meant make easy possible. first thing , even reading guide, go https://github.com/sizespectrum/mizer/issues create new “issue”” share ideas plans mizer community. may get back valuable feedback advice. Another way get touch mizer community via size-spectrum modelling Google group.","code":""},{"path":"https://sizespectrum.org/mizer/articles/developer_vignette.html","id":"setting-up-working-environment","dir":"Articles","previous_headings":"","what":"Setting up working environment","title":"Developer Guide","text":"section describe set working environment allow easily work mizer code. Much may already place, feel free skip ahead.","code":""},{"path":"https://sizespectrum.org/mizer/articles/developer_vignette.html","id":"installing-r-rstudio-and-git","dir":"Articles","previous_headings":"Setting up working environment","what":"Installing R, RStudio and Git","title":"Developer Guide","text":"Mizer compatible R versions 3.1 later. still need install R, simply install latest version. guide prepared R version 4.6.0 (2026-04-24). guide assumes using RStudio work R. really reason use RStudio makes lot things much easier. RStudio develops rapidly adds useful features time pays upgrade latest version frequently. guide written version 1.2.1268. Mizer developed using version control system Git code hosted GitHub. contribute mizer code, need Git software installed system. Linux machines installed already, platforms need install . need install GUI git RStudio built-support git. good place learn using Git GitHub chapter guide Hadley R package development.","code":""},{"path":"https://sizespectrum.org/mizer/articles/developer_vignette.html","id":"forking-mizer-from-github","dir":"Articles","previous_headings":"Setting up working environment","what":"Forking mizer from GitHub","title":"Developer Guide","text":"work code create git repository copy mizer code. Go https://github.com/sizespectrum/mizer fork repository clicking “Fork” button. prompted log GitHub. yet account, need create one . fork mizer repository, create local copy whichever machine work . can within RStudio. click “Project” drop-select “New Project…”. Provided Git installed RStudio able find can choose “Git” next dialog box. Git option showing, need troubleshoot, perhaps https://happygitwithr.com/rstudio-see-git.html helps. can copy clipboard pressing button next URL paste back RStudio dialog box. dialog box can also change RStudio stores repository machine. Choose anywhere convenient. click “Create Project”.","code":""},{"path":"https://sizespectrum.org/mizer/articles/developer_vignette.html","id":"setting-up-rstudio-developer-tools","dir":"Articles","previous_headings":"Setting up working environment","what":"Setting up RStudio developer tools","title":"Developer Guide","text":"work R packages developer, need install additional tools. tools place, install devtools roxygen2 packages now set develop R packages, RStudio makes extra easy. even cheat sheet “Package Development devtools” accessible Help menu RStudio. set things , click Build -> -> Configure Build Tools. resulting dialog box, tick checkboxes “Use devtools package functions available” “Generate documentation roxygen” click “Configure”. open another dialog box tick “Install Restart”. Hit “OK”. Project Options dialog box, click “Code Editing” check “Insert spaces tabs” set “Tab width” 4, convention mizer code follows.","code":"install.packages(c(\"devtools\", \"roxygen2\"))"},{"path":"https://sizespectrum.org/mizer/articles/developer_vignette.html","id":"usethis-package","dir":"Articles","previous_headings":"Setting up working environment","what":"usethis package","title":"Developer Guide","text":"Many useful commands working packages GitHub provided usethis package, automatically installed along devtools. package comes useful vignette suggestions set things conveniently.","code":""},{"path":"https://sizespectrum.org/mizer/articles/developer_vignette.html","id":"installing-mizer","dir":"Articles","previous_headings":"Setting up working environment","what":"Installing mizer","title":"Developer Guide","text":"now ready install mizer package using development code GitHub. First command can watch progress “Build” tab. build completed, see console RStudio automatically runs load freshly built mizer package. want click “Install Restart” whenever changed local code.","code":"devtools::install_github(\"sizespectrum/mizer\") library(mizer)"},{"path":"https://sizespectrum.org/mizer/articles/developer_vignette.html","id":"working-with-git","dir":"Articles","previous_headings":"","what":"Working with git","title":"Developer Guide","text":"making code changes fork mizer code (using -called Fork & Pull model). time time want interact main mizer repository two ways: want contribute code back mizer project, benefits others also gets automatically included future releases. want able merge new developments made mizer others code base. interaction made possible git GitHub. initially takes bit effort get hang works. Therefore created little tutorial “Working git GitHub” exercise take necessary steps. Unless already familiar git GitHub, worthwhile work tutorial now.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/articles/developer_vignette.html","id":"coding-style","dir":"Articles","previous_headings":"Contributor guidelines","what":"Coding style","title":"Developer Guide","text":"Google’s R Style Guide tidyverse style guide","code":""},{"path":"https://sizespectrum.org/mizer/articles/developer_vignette.html","id":"always-write-tests-for-your-code","dir":"Articles","previous_headings":"Contributor guidelines","what":"Always write tests for your code","title":"Developer Guide","text":"use testthat shinytest. test directory tests/testthat. tests compare results calculations results code gave past, using testthat::expect_known_value() test. past values stored tests/testthat/values. one tests gives value different stored value, test throws error overwrites stored value new result. second time test run, longer fails. Luckily original values still git repository. think fixed error led wrong result, revert old stored values re-running test. Reverting old stored values easy: Just go Git tab RStudio, select changed files tests/testthat/values (select, tick), right-click choose Revert. may change result calculation intended, perhaps new code accurate old code. 100% certain , , commit changed files tests/testthat/values, new values form basis future comparison tests. Plots tested vdiffr package. plot changed, run vdiffr::manage_cases(), start shiny gadget can view changes plot.","code":""},{"path":"https://sizespectrum.org/mizer/articles/developer_vignette.html","id":"finding-your-way-around-the-mizer-code","dir":"Articles","previous_headings":"","what":"Finding your way around the mizer code","title":"Developer Guide","text":"section still early stage development. Mizer organised modular fashion. separated setup functions, simulation functions, analysis plotting functions. several different functions setting MizerParams object specifying various concrete models. setup functions make various simplifying assumptions model parameters reduce amount information needs specified. usually takes form assuming allometric scaling laws. core mizer project() function runs simulation size-spectrum model. takes specification model contained object type MizerParams returns results simulation object type MizerSim. many functions analysing plotting results mizer simulation contained MizerSim object. MizerParams MizerSim objects S4 objects, meaning slots rigorously defined accessed ‘@’ notation. need learn S4 classes order understand mizer code, code avoids using S4 methods. presentation assume MizerParams object called params MizerSim object called sim. Although MizerParams MizerSim S4 classes, mizer registers methods S3 methods rather S4 methods. example, summary plot MizerParams object defined plot.MizerParams() registered S3method(plot, MizerParams) NAMESPACE, via setMethod(\"plot\", \"MizerParams\", ...). works S3 dispatch reads class() attribute object, S4 objects , plot(params) correctly finds plot.MizerParams(). reason preferring S3 calling setMethod() function already S4 generic silently promotes one, changing dispatch semantics package-wide. instance, mizer used setMethod(\"plot\", ...), plot become S4 generic code running R session. can cause hard--diagnose failures plot() called objects mixed S3/S4 types, S4 dispatch requires exact method match arguments rather falling back gracefully S3 methods. short: use S3 methods (named generic.ClassName) MizerParams MizerSim, avoid setMethod() unless extending generic already S4 dependency.","code":""},{"path":"https://sizespectrum.org/mizer/articles/developer_vignette.html","id":"the-mizerparams-class","dir":"Articles","previous_headings":"Finding your way around the mizer code","what":"The MizerParams class","title":"Developer Guide","text":"object class ‘MizerParams’ holds information needed ‘project()’ function simulate model.","code":""},{"path":"https://sizespectrum.org/mizer/articles/developer_vignette.html","id":"adding-a-new-slot","dir":"Articles","previous_headings":"Finding your way around the mizer code > The MizerParams class","what":"Adding a new slot","title":"Developer Guide","text":"need add new slot MizerParams class, need make following additions file MizerParams-class.R: Go section “Class definition” add description new slot @slot. Add entry slots list inside setClass. function emptyParams() go section “Make object” inside call new() provide default value slot. slot holds array, conventional mizer already give correct dimensions dimnames , possible. exactly put places usually clear analogy already similar slots.","code":""},{"path":"https://sizespectrum.org/mizer/articles/developer_vignette.html","id":"the-arrayspeciesbysize-class","dir":"Articles","previous_headings":"Finding your way around the mizer code","what":"The ArraySpeciesBySize class","title":"Developer Guide","text":"Many functions mizer — getEncounter(), getFeedingLevel(), getPredMort(), getMort(), getEReproAndGrowth(), getERepro(), getEGrowth(), getFMort(), getFlux(), getCriticalFeedingLevel() — return ArraySpeciesBySize object. lightweight S3 class wraps species × size matrix attaches two extra attributes: value_name: human-readable label (e.g. \"Encounter rate\"). units: physical units rate (e.g. \"g/year\" \"1/year\").","code":""},{"path":"https://sizespectrum.org/mizer/articles/developer_vignette.html","id":"behaviour","dir":"Articles","previous_headings":"Finding your way around the mizer code > The ArraySpeciesBySize class","what":"Behaviour","title":"Developer Guide","text":"ArraySpeciesBySize object behaves exactly like regular matrix subsetting arithmetic. Subsetting [ preserves class long result still 2-D matrix; arithmetic operators (via Ops.ArraySpeciesBySize) strip class return plain matrix. means can use ArraySpeciesBySize objects transparently calculations without worrying attribute contamination.","code":"enc <- getEncounter(NS_params) is.ArraySpeciesBySize(enc)       # TRUE enc[\"Cod\", \"100\"]       # still a ArraySpeciesBySize enc * 2                 # plain matrix — class is stripped by Ops.ArraySpeciesBySize"},{"path":"https://sizespectrum.org/mizer/articles/developer_vignette.html","id":"enhanced-output-methods","dir":"Articles","previous_headings":"Finding your way around the mizer code > The ArraySpeciesBySize class","what":"Enhanced output methods","title":"Developer Guide","text":"ArraySpeciesBySize provides print(), summary(), plot(), .data.frame() methods designed quick inspection rate arrays: plot() method accepts params argument can use species colours linetypes stored MizerParams object, restricts species’ curve natural size range (w_min w_max) unless .sizes = TRUE.","code":"enc <- getEncounter(NS_params) print(enc)              # one-line min/mean/max per species summary(enc)            # tabular summary per species plot(enc, NS_params)    # line plot vs. size, coloured by species as.data.frame(enc)      # long-format data frame with columns w, value, Species"},{"path":"https://sizespectrum.org/mizer/articles/developer_vignette.html","id":"wrapping-your-own-rate-functions","dir":"Articles","previous_headings":"Finding your way around the mizer code > The ArraySpeciesBySize class","what":"Wrapping your own rate functions","title":"Developer Guide","text":"write custom rate function replaces one built-mizer* functions (see ?setRateFunction), need return ArraySpeciesBySize: get* wrapper calls function responsible wrapping result. function return plain numeric matrix correct dimensions (species × size) dimnames. write new standalone rate function meant called directly users, may want wrap result : params argument ArraySpeciesBySize() used copy dimnames params@metab onto result, species names size labels set consistently. can test whether object ArraySpeciesBySize .ArraySpeciesBySize().","code":"myRateFunction <- function(params, ...) {     result <- # ... compute a species x size matrix ...     ArraySpeciesBySize(result, value_name = \"My rate\", units = \"1/year\", params = params) }"},{"path":"https://sizespectrum.org/mizer/articles/developer_vignette.html","id":"condition-handling-system","dir":"Articles","previous_headings":"","what":"Condition handling system","title":"Developer Guide","text":"Mizer make good use R’s condition handling system, well described https://adv-r.hadley.nz/conditions.html. Currently small number places code. Search code signal() withCallingHandlers() find places.","code":""},{"path":"https://sizespectrum.org/mizer/articles/developer_vignette.html","id":"signal-handling-in-mizer","dir":"Articles","previous_headings":"Condition handling system","what":"Signal Handling in mizer","title":"Developer Guide","text":"Mizer uses rlang::signal() function generate information messages can controlled user via info_level argument. system allows different levels verbosity without cluttering console warnings standard messages easily suppressed filtered.","code":""},{"path":"https://sizespectrum.org/mizer/articles/developer_vignette.html","id":"the-info_level-argument","dir":"Articles","previous_headings":"Condition handling system > Signal Handling in mizer","what":"The info_level Argument","title":"Developer Guide","text":"info_level argument integer controls amount information shown user. works filtering signals based assigned level. info_level = 0: information messages shown. useful running simulations loops clean output desired. info_level = 1: important messages shown. typically issues might affect validity model significant assumptions made. info_level = 2: Intermediate level (currently widely used, reserved future granularity). info_level = 3: information messages shown. includes details default values set minor notifications.","code":""},{"path":"https://sizespectrum.org/mizer/articles/developer_vignette.html","id":"how-to-use-signals","dir":"Articles","previous_headings":"Condition handling system > Signal Handling in mizer","what":"How to Use Signals","title":"Developer Guide","text":"writing functions mizer, use signal() instead message() warning() information critical (.e., error deprecation warning) helpful user know.","code":""},{"path":"https://sizespectrum.org/mizer/articles/developer_vignette.html","id":"syntax","dir":"Articles","previous_headings":"Condition handling system > Signal Handling in mizer > How to Use Signals","what":"Syntax","title":"Developer Guide","text":"message: text display. class: \"info_about_default\" messages related setting default values. var: name variable parameter message (e.g., “h”, “gamma”, “ks”). level: importance level message (1, 2, 3).","code":"signal(message, class = \"info_about_default\", var = \"variable_name\", level = integer_level)"},{"path":"https://sizespectrum.org/mizer/articles/developer_vignette.html","id":"guidelines-for-levels","dir":"Articles","previous_headings":"Condition handling system > Signal Handling in mizer > How to Use Signals","what":"Guidelines for Levels","title":"Developer Guide","text":"Example: “n != p, default value h good.” Example: “species growth information available parameter h set h = 30.”","code":""},{"path":"https://sizespectrum.org/mizer/articles/developer_vignette.html","id":"handling-signals","dir":"Articles","previous_headings":"Condition handling system > Signal Handling in mizer","what":"Handling Signals","title":"Developer Guide","text":"Functions accept info_level set calling handler capture filter signals. pattern collects relevant messages prints end, avoiding duplicate messages variable multiple defaults set.","code":"infos <- list() collect_info <- function(cnd) {     if (cnd$level <= info_level) {         infos[[cnd$var]] <<- cnd$message         rlang::cnd_muffle(cnd) # So this info will not be repeated higher up     } }  withCallingHandlers(     info_about_default = collect_info, {         # ... code that might generate signals ...     } )  if (length(infos) > 0) {     message(paste(infos, collapse = \"\\n\")) }"},{"path":"https://sizespectrum.org/mizer/articles/developer_vignette.html","id":"avoiding-duplication","dir":"Articles","previous_headings":"Condition handling system > Signal Handling in mizer","what":"Avoiding Duplication","title":"Developer Guide","text":"Signals R bubble call stack via withCallingHandlers. ensure unified summary avoid duplicate messages, adopt Top-Level Reporting strategy: Top-Level Functions: Functions directly called user (e.g., newCommunityParams) handle signals print summary. Inner Functions: Functions called functions (e.g., newMultispeciesParams called newCommunityParams) called info_level = 0. prevents printing summary allowing signals bubble top-level function’s handler. example, newMultispeciesParams calls setParams(params, info_level = 0, ...) setParams print summary; instead, signals bubble newMultispeciesParams’s handler.","code":""},{"path":"https://sizespectrum.org/mizer/articles/developer_vignette.html","id":"defaults-editions","dir":"Articles","previous_headings":"","what":"Defaults editions","title":"Developer Guide","text":"mizer functions creating new models make lot choices default values parameters provided user. Sometimes find better ways choose defaults update mizer accordingly. , increase edition number. mechanism described help page defaults_edition(). currently default edition 1. find defaults different different editions simply search conditionals involving defaults_edition() code.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/articles/developer_vignette.html","id":"size-of-git-repo","dir":"Articles","previous_headings":"Specialised topics","what":"Size of git repo","title":"Developer Guide","text":"try avoid committing many large files git repository, larger repository longer takes download. Currently (September 2019) repository still manageable 110 MiB. best way check size repository git-sizer, see https://github.com/github/git-sizer/ currently storing mizer website mizer repository (docs subdirectory). convenient, partly pkgdown puts default GitHub serves . However future might consider moving website repository.","code":""},{"path":"https://sizespectrum.org/mizer/articles/editing_website.html","id":"website-built-from-package-documentation","dir":"Articles","previous_headings":"","what":"Website built from package documentation","title":"Editing the Mizer Website","text":"mizer website [https://sizespectrum.org/mizer/] created programmatically documentation included mizer GitHub repository. Thus edit website just means editing documentation. website creation performed slight modification pkgdown package. can trigger build local repository issuing commands convert existing documentation html files put docs subdirectory mizer directory. detail: .Rmd files vignettes subdirectory (subdirectories, ) produce html files name docs/articles. .Rd documentation files man produce html files name docs/reference. NEWS file converted docs/news/index.html README.md file converted docs/index.html. package use information _pkgdown.yml file create navbar index pages. navbar configured quite self-explanatory, specifying order navbar entries, text link destination, whether left right side. clearly easy add additional navbar entries. possible also include drop-items navbar. See pkgdown documentation details. file docs/articles/index.html created according article: section _pkgdown_yml file. early stage looked follows: now entries link vignettes. necessary use index file. menu entry just well point elaborate file created .Rmd file vignette subdirectory, might become useful future. file docs/reference/index.html created according reference: section _pkgdown_yml file, similar syntax article: section.","code":"devtools::install_github(\"gustavdelius/pkgdown\", ref = \"mizer\") pkgdown::build_site() navbar:   title: \"mizer\"   left:     - icon: fa-home fa-lg       href: index.html     - text: \"Get Started\"       href: articles/mizer.html     - text: \"Articles\"       href: articles/index.html     - text: \"Reference\"       href: reference/index.html     - text: \"Publications\"       href: articles/publications.html     - text: \"News\"       href: news/index.html   right:     - icon: fa-github fa-lg       href: https://github.com/sizespectrum/mizer articles: - title: User Guides   contents:   - model_description - title: Developer Guides   contents:   - developer_vignette   - mathematical_details"},{"path":"https://sizespectrum.org/mizer/articles/editing_website.html","id":"changing-page-content","dir":"Articles","previous_headings":"","what":"Changing page content","title":"Editing the Mizer Website","text":"top every page website, except homepage, link page source. easy know file edit make changes page. want rebuild website making change single page may want re-build everything. can rebuild just single vignette. example rebuild page editing vignette vignette/editing_website.Rmd can call rebuild reference pages changing roxygen code doc can run change homepage edit index.md. file similar README.md used mizer homepage GitHub, can contain extra content like embedded videos GitHub homepage support. changes index.md can update local copy website course changes affect local copy website. get changes reflected online site need make pull request changed files master branch upstream repository.","code":"pkgdown::build_article(\"editing_website\") pkgdown::build_reference() pkgdown::build_home()"},{"path":"https://sizespectrum.org/mizer/articles/editing_website.html","id":"github-pages","dir":"Articles","previous_headings":"","what":"GitHub pages","title":"Editing the Mizer Website","text":"website hosted GitHub Pages. settings pages mizer repository GitHub source set “master branch/docs folder”. means master branch controls website.","code":""},{"path":"https://sizespectrum.org/mizer/articles/editing_website.html","id":"search-bar","dir":"Articles","previous_headings":"","what":"Search bar","title":"Editing the Mizer Website","text":"search bar website powered Docsearch Algolia. free service open-source projects. set-explained pkgdown documentation.","code":""},{"path":"https://sizespectrum.org/mizer/articles/editing_website.html","id":"embedding-videos","dir":"Articles","previous_headings":"","what":"Embedding videos","title":"Editing the Mizer Website","text":"easy embed videos webpage putting iframe R Markdown source file. example putting line source page produced following embedded video: GitHub site (opposed GitHub Pages) support embedded videos.","code":"<iframe width=\"560\" height=\"315\" src=\"https://www.youtube.com/embed/0RlXqLbFbWc\" frameborder=\"0\" allow=\"accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen><\/iframe>"},{"path":"https://sizespectrum.org/mizer/articles/exploring_the_simulation_results.html","id":"sec:exploring","dir":"Articles","previous_headings":"","what":"Introduction","title":"Exploring the Simulation Results","text":"sections multispecies model running simulation saw set model project forward time desired fishing scenario. result running projection object class MizerSim. ? can explore results simulation? section introduce range summaries, plots indicators can easily produced using functions included mizer. use following MizerSim object examples, effort array one created previous section running simulation:","code":"sim <- project(NS_params, effort = effort_array, dt = 0.1, t_save = 1)"},{"path":"https://sizespectrum.org/mizer/articles/exploring_the_simulation_results.html","id":"accessing-the-simulation-results","dir":"Articles","previous_headings":"","what":"Accessing the simulation results","title":"Exploring the Simulation Results","text":"projected species abundances size time can obtained N(sim). returns three-dimensional array (time x species x size). Consequently, array can get big inspecting can difficult. example just run, time dimension n 10 rows (one initial population one saved time steps). also 12 species 100 sizes. can check running dim() function looking dimensions n array: pull abundances particular species time size can subset array. example look Cod time can use: returns two-dimensional array: time x size, containing cod abundances. time dimension depends value argument t_save project() run. can see even though specified dt 0.1 called project(), t_save = 1 argument meant output saved every year. Often particularly interested results final time-step. can access two dimensional array (species x size). projected resource abundances can accesses similarly returns two-dimensional array (time x size). interested final time step returns vector one entry size class.","code":"dim(N(sim)) ## [1]  10  12 100 N(sim)[, \"Cod\", ] finalN(sim) NResource(sim) finalNResource(sim)"},{"path":"https://sizespectrum.org/mizer/articles/exploring_the_simulation_results.html","id":"sec:summaries","dir":"Articles","previous_headings":"","what":"Summary functions","title":"Exploring the Simulation Results","text":"well summary() methods available MizerParams MizerSim objects, useful summary functions pull information MizerSim object. description different summary functions available given summary functions help page. functions help files explain used. (also possible use functions MizerParams object also supply population abundance argument. can useful exploring changes parameter value abundance can affect summary statistics indicators. won’t explore can see help files details.) functions getBiomass() getN() additional arguments allow user set size range calculate summary statistic. done passing combination arguments min_l, min_w, max_l max_w minimum maximum length weight. min_l specified need specify min_w . However, length specified (minimum maximum) necessary species parameter data.frame (see species parameters section) include parameters b length-weight conversion. possible mix length weight constraints, e.g. supplying minimum weight maximum length. default values minimum maximum weights spectrum, .e. full range size spectrum used.","code":""},{"path":"https://sizespectrum.org/mizer/articles/exploring_the_simulation_results.html","id":"sec:summaries_example","dir":"Articles","previous_headings":"Summary functions","what":"Examples of using the summary functions","title":"Exploring the Simulation Results","text":"show simple demonstration using summary function using sim object created earlier. , use getSSB() calculate SSB species time (note use head() function display first rows). mentioned , can specify size range getsummaryBiomass() getN() functions. example, calculate total biomass species include individuals larger 10 g smaller 1000 g.","code":"ssb <- getSSB(sim) dim(ssb) ## [1] 10 12 head(ssb) ## Spawning stock biomass (6 times x 12 species) [g]  ##   Sprat: min=1.14e+11 mean=1.44e+11 max=2.11e+11 ##   Sandeel: min=1.74e+12 mean=2.82e+12 max=5.38e+12 ##   N.pout: min=1.1e+11 mean=1.37e+11 max=1.83e+11 ##   Herring: min=3.51e+11 mean=4.81e+11 max=6.04e+11 ##   Dab: min=4.88e+09 mean=5.58e+09 max=6.89e+09 ##   Whiting: min=7.71e+10 mean=8.97e+10 max=1.14e+11 ##   Sole: min=4.54e+10 mean=5.26e+10 max=6.36e+10 ##   Gurnard: min=5.4e+09 mean=6.98e+09 max=9.1e+09 ##   Plaice: min=2.33e+11 mean=2.67e+11 max=3.03e+11 ##   Haddock: min=1.18e+11 mean=1.39e+11 max=1.59e+11 ##   Cod: min=2.9e+11 mean=3.6e+11 max=5.32e+11 ##   Saithe: min=1.98e+11 mean=2.55e+11 max=3.28e+11 biomass <- getBiomass(sim, min_w = 10, max_w = 1000) head(biomass) ## Biomass (6 times x 12 species) [g]  ##   Sprat: min=1.44e+11 mean=1.76e+11 max=2.44e+11 ##   Sandeel: min=1.1e+12 mean=2.18e+12 max=4.59e+12 ##   N.pout: min=1.67e+11 mean=1.96e+11 max=2.39e+11 ##   Herring: min=1.18e+12 mean=1.32e+12 max=1.54e+12 ##   Dab: min=6.29e+09 mean=7.13e+09 max=8.37e+09 ##   Whiting: min=1.27e+11 mean=1.39e+11 max=1.62e+11 ##   Sole: min=1.12e+11 mean=1.18e+11 max=1.27e+11 ##   Gurnard: min=1.91e+10 mean=2.22e+10 max=2.48e+10 ##   Plaice: min=6.62e+11 mean=7.12e+11 max=7.66e+11 ##   Haddock: min=3.23e+11 mean=3.41e+11 max=3.73e+11 ##   Cod: min=4.52e+10 mean=5.35e+10 max=6.29e+10 ##   Saithe: min=1.39e+11 mean=1.81e+11 max=2.16e+11"},{"path":"https://sizespectrum.org/mizer/articles/exploring_the_simulation_results.html","id":"functions-for-calculating-indicators","dir":"Articles","previous_headings":"","what":"Functions for calculating indicators","title":"Exploring the Simulation Results","text":"Functions available calculate range indicators MizerSim object projection. description different indicator functions available given indicator functions help page.. can read help pages functions full instructions use , along examples. functions table possible specify size range community used calculation (e.g. exclude small large individuals) calculated metrics can compared empirical data. used way saw function getBiomass() section summary functions MizerSim objects.. also possible specify species include calculation. See help files details.","code":""},{"path":"https://sizespectrum.org/mizer/articles/exploring_the_simulation_results.html","id":"sec:indicators_example","dir":"Articles","previous_headings":"Functions for calculating indicators","what":"Examples of calculating indicators","title":"Exploring the Simulation Results","text":"examples use sim object created earlier. slope community can calculated using getCommunitySlope() function. Initially include species sizes calculation (first five rows shown): gives slope, intercept \\(R^2\\) value time (see help file getCommunitySlope details). can include species want species argument. include demersal species. also restrict size range community used calculation 10 g 5 kg. species argument character vector names species want include calculation.","code":"slope <- getCommunitySlope(sim) head(slope) ##        slope intercept        r2 ## 1 -0.7822250  25.40779 0.8722251 ## 2 -0.7970084  25.24922 0.8666363 ## 3 -0.8066332  25.21573 0.8665750 ## 4 -0.8151679  25.23791 0.8678893 ## 5 -0.8229285  25.24489 0.8686275 ## 6 -0.8272602  25.23104 0.8673588 dem_species <- c(\"Dab\", \"Whiting\", \"Sole\", \"Gurnard\", \"Plaice\", \"Haddock\",     \"Cod\", \"Saithe\") slope <- getCommunitySlope(sim, min_w = 10, max_w = 5000,      species = dem_species) head(slope) ##       slope intercept        r2 ## 1 -1.096584  26.88942 0.9749307 ## 2 -1.177678  27.21999 0.9796408 ## 3 -1.148456  27.13231 0.9754412 ## 4 -1.060903  26.70050 0.9748899 ## 5 -1.026889  26.50463 0.9820432 ## 6 -1.061542  26.68677 0.9807863"},{"path":"https://sizespectrum.org/mizer/articles/exploring_the_simulation_results.html","id":"plotting-the-results","dir":"Articles","previous_headings":"","what":"Plotting the results","title":"Exploring the Simulation Results","text":"R powerful comes exploring data plots. Two useful packages plotting ggplot2 plotly. use data.frames input data whereas many mizer functions return arrays matrices. Fortunately straightforward turn arrays matrices data.frames using melt() function reshape2 package mizer makes available . Although mizer include dedicated plots, definitely worth time getting grips plotting packages. make possible make plots. provide details section using ggplot2 plotly mizer. Included mizer several dedicated plots use MizerSim objects inputs (see plots help page.). well displaying plots, functions return objects type ggplot ggplot2 package, meaning can modified user (e.g. changing plotting theme). See help page individual plot functions details. generic plot() method also overloaded MizerSim objects. produces several plots window provide snapshot results simulation. plots plot values size (example plotFeedingLevel() plotSpectra()). plots, default use data final time step projection. plotting functions, also possible specify different time, time range average values plotting.","code":""},{"path":"https://sizespectrum.org/mizer/articles/exploring_the_simulation_results.html","id":"sec:plot_examples","dir":"Articles","previous_headings":"Plotting the results","what":"Plotting examples","title":"Exploring the Simulation Results","text":"Using plotting functions straightforward. example, plot total biomass species time use plotBiomass() function:  mentioned , plot functions plot values size point time (averaged time period). plots possible specify time step plot, time period average values . default use final time step. plot abundance spectra (biomass), averaged time = 5 10:  mentioned , seen several times guide, generic plot() method also overloaded. produces 5 plots window (plotFeedingLevel(), plotBiomass(), plotPredMort(), plotFMort() plotSpectra()). possible pass arguments individual plots use, e.g. arguments change time period data averaged.  next section describes use learned model North Sea.","code":"plotBiomass(sim) plotSpectra(sim, time_range = 5:10) plot(sim)"},{"path":"https://sizespectrum.org/mizer/articles/extension-packages.html","id":"overview","dir":"Articles","previous_headings":"","what":"Overview","title":"Creating a mizer extension package","text":"vignette explains turn mizer extension proper R package. aimed users already comfortable writing custom rate functions adding components setComponent(), now want share extension others use across multiple projects. two kinds extension package: metadata-extension registers params@extensions record-keeping, change mizer generic function behaves. mizerStarvation example: adds starvation mortality via other_mort pipeline, need override user-facing mizer functions. dispatching extension additionally defines new object type mizer’s generic functions (getBiomass() plotBiomass()) can made behave differently models built extension. mizerShelf example: adds detritus carrion components overrides getBiomass() include biomasses result. vignette covers kinds, working concrete examples package.","code":""},{"path":"https://sizespectrum.org/mizer/articles/extension-packages.html","id":"why-a-package","dir":"Articles","previous_headings":"","what":"Why a package?","title":"Creating a mizer extension package","text":"plain R script works fine single project. R package becomes worthwhile want: Reuse across projects: install , library() everywhere. Version tracking: params@extensions records version extension package used build model. collaborator opens saved MizerParams object different session, mizer can warn required package missing outdated. Composability: two extension packages loaded time, mizer can arrange contributions generic functions right order automatically (see Daisy-chaining NextMethod() ). Testing documentation: package gives natural home testthat tests roxygen2 documentation.","code":""},{"path":"https://sizespectrum.org/mizer/articles/extension-packages.html","id":"metadata-only-extensions-mizerstarvation","dir":"Articles","previous_headings":"","what":"Metadata-only extensions: mizerStarvation","title":"Creating a mizer extension package","text":"mizerStarvation adds starvation mortality — extra per-capita mortality term kicks fish’s energy balance negative. via other_mort slot: named list function names getMort() calls sums every time step. mizer generic function needs overridden.","code":""},{"path":"https://sizespectrum.org/mizer/articles/extension-packages.html","id":"registering-in--onload","dir":"Articles","previous_headings":"Metadata-only extensions: mizerStarvation","what":"Registering in .onLoad","title":"Creating a mizer extension package","text":"Every extension package, even metadata-one, announce mizer loaded. Place .onLoad function file R/zzz.R: registerExtension() adds package name session’s extension chain. requirement string pak installation spec mizer uses needs install package automatically. packages CRAN can use minimum version string \"1.2.0\" instead; GitHub-packages use \"owner/repo\" form (e.g. \"sizespectrum/mizerStarvation\"). call safe repeat: package already registered (example user called devtools::load_all() twice), returns silently.","code":".onLoad <- function(libname, pkgname) {   mizer::registerExtension(pkgname, requirement = \"owner/myExtensionPackage\") }"},{"path":"https://sizespectrum.org/mizer/articles/extension-packages.html","id":"recording-the-extension-in-paramsextensions","dir":"Articles","previous_headings":"Metadata-only extensions: mizerStarvation","what":"Recording the extension in params@extensions","title":"Creating a mizer extension package","text":"package creates modifies MizerParams object copy session’s registered extension chain @extensions slot: getRegisteredExtensions() returns full chain .onLoad hooks built . Storing object serves two purposes: Reproducibility record. object saved saveParams() later loaded readParams(), mizer reads @extensions warns required package installed old. Class coercion. dispatching extensions (see ), readParams() uses @extensions restore correct S4 class automatically.","code":"setStarvation <- function(params, starv_coef = 10) {     # ... set up the rate function, species parameters, etc. ...     params@extensions <- mizer::getRegisteredExtensions()     params }"},{"path":"https://sizespectrum.org/mizer/articles/extension-packages.html","id":"dispatching-extensions-mizershelf","dir":"Articles","previous_headings":"","what":"Dispatching extensions: mizerShelf","title":"Creating a mizer extension package","text":"mizerShelf adds two dynamical components — detritus carrion — mizer model. Beyond just computing , also needs change certain user-facing functions return: example, getBiomass() include detritus carrion biomasses alongside species biomasses. section explains achieve without breaking standard mizer behaviour, without preventing extension packages also modifying function.","code":""},{"path":"https://sizespectrum.org/mizer/articles/extension-packages.html","id":"the-problem-with-simply-overwriting-a-function","dir":"Articles","previous_headings":"Dispatching extensions: mizerShelf","what":"The problem with simply overwriting a function","title":"Creating a mizer extension package","text":"Suppose define new getBiomass() function package adds extra biomasses result. works long package one modifies getBiomass(). second extension package also wants add extra components? packages replace getBiomass(), whichever one loaded last wins, ’s contribution silently lost. way two packages compose changes.","code":""},{"path":"https://sizespectrum.org/mizer/articles/extension-packages.html","id":"how-r-dispatches-to-the-right-function","dir":"Articles","previous_headings":"Dispatching extensions: mizerShelf","what":"How R dispatches to the right function","title":"Creating a mizer extension package","text":"R built-mechanism exactly situation. Every object class attribute — character string (vector strings) labels kind thing . call function like getBiomass(params), R looks class params searches version getBiomass whose name ends . followed class label, getBiomass.mizerShelf. finds one, calls . , tries next class vector, reaches base class calls default version. mechanism called S3 dispatch, need know term use . matters practically : Give params objects distinctive class label (e.g. \"mizerShelf\"). Define functions named <genericname>.<classname> (e.g. getBiomass.mizerShelf). Inside functions, call NextMethod() pass control next class chain modifications.","code":""},{"path":"https://sizespectrum.org/mizer/articles/extension-packages.html","id":"daisy-chaining-with-nextmethod","dir":"Articles","previous_headings":"Dispatching extensions: mizerShelf","what":"Daisy-chaining with NextMethod()","title":"Creating a mizer extension package","text":"NextMethod() makes multiple extension packages compose gracefully. Suppose class params c(\"mizerFoo\", \"mizerShelf\", \"MizerParams\"), meaning params simultaneously type mizerFoo, type mizerShelf, base type MizerParams. calling getBiomass(params) proceeds like : R finds getBiomass.mizerFoo calls . getBiomass.mizerFoo calls NextMethod(). R finds getBiomass.mizerShelf calls . getBiomass.mizerShelf calls NextMethod(). R finds standard mizer getBiomass.MizerParams calls . standard result returned step 4, shelf biomasses added, result returned step 2, mizerFoo’s biomasses added top. extension chain sees extends result extensions . chain grows automatically packages loaded, user need coordinate anything manually. work, every method must call NextMethod() accidentally short-circuit chain . exception base mizer method bottom chain.","code":""},{"path":"https://sizespectrum.org/mizer/articles/extension-packages.html","id":"defining-marker-classes","dir":"Articles","previous_headings":"Dispatching extensions: mizerShelf","what":"Defining marker classes","title":"Creating a mizer extension package","text":"give params objects distinctive class label, need define S4 marker class — formal class extends MizerParams adds new data. extension-specific data lives other_params(params) component parameters; class just label. Place calls file R/myextension-class.R: params class name must match name pass registerExtension(). sim class name must params class name \"Sim\" appended. MizerSim objects coerced sim class automatically project() record extension chain params@extensions (see ). extension designed stack top another (say mizerBase), inherit package’s class instead:","code":"#' @export setClass(\"mizerShelf\", contains = \"MizerParams\")  #' @export setClass(\"mizerShelfSim\", contains = \"MizerSim\") setClass(\"mizerOuter\", contains = \"mizerBase\") setClass(\"mizerOuterSim\", contains = \"mizerBaseSim\")"},{"path":"https://sizespectrum.org/mizer/articles/extension-packages.html","id":"registering-in--onload-1","dir":"Articles","previous_headings":"Dispatching extensions: mizerShelf","what":"Registering in .onLoad","title":"Creating a mizer extension package","text":".onLoad hook dispatching extension metadata-one: registerExtension() called, mizer prepends extension session’s chain, giving highest dispatch priority. R always loads dependency packages package depends , dependent package ends outermost. example, mizerOuter depends mizerShelf: R loads mizerShelf, .onLoad fires → chain: c(mizerShelf = \"1.0.0\") R loads mizerOuter, .onLoad fires → chain: c(mizerOuter = \"0.3.0\", mizerShelf = \"1.0.0\") class hierarchy c(\"mizerOuter\", \"mizerShelf\", \"MizerParams\") mirrors chain, dispatch proceeds right order automatically.","code":".onLoad <- function(libname, pkgname) {   mizer::registerExtension(pkgname, requirement = \"owner/myExtensionPackage\") }"},{"path":"https://sizespectrum.org/mizer/articles/extension-packages.html","id":"writing-methods-that-call-nextmethod","dir":"Articles","previous_headings":"Dispatching extensions: mizerShelf","what":"Writing methods that call NextMethod()","title":"Creating a mizer extension package","text":"getBiomass.mizerShelf mizerShelf. calls NextMethod() first get standard mizer result, appends detritus carrion biomasses: plotBiomass() calls getBiomass() internally, single override makes biomass plots include detritus carrion without changes. Always register S3 methods package’s NAMESPACE file. roxygen2 @method tag automatically:","code":"#' @method getBiomass mizerShelf #' @export getBiomass.mizerShelf <- function(object, ...) {     params <- object     b <- NextMethod()                       # standard species biomasses      d_biomass <- sum(params@initial_n_pp *                      params@dw_full * params@w_full)     b <- c(b, Detritus = d_biomass)      other <- params@initial_n_other     scalar_other <- Filter(function(x) is.numeric(x) && length(x) == 1, other)     if (length(scalar_other) > 0) b <- c(b, unlist(scalar_other))     b } #' @method getBiomass mizerShelf #' @export getBiomass.mizerShelf <- function(object, ...) { ... }"},{"path":"https://sizespectrum.org/mizer/articles/extension-packages.html","id":"creating-objects-the-two-commands","dir":"Articles","previous_headings":"Dispatching extensions: mizerShelf","what":"Creating objects: the two commands","title":"Creating a mizer extension package","text":"constructor function returns mizerShelf object must end two lines: newDetritusCarrionParams() uses mizerShelf:","code":"params@extensions <- mizer::getRegisteredExtensions() params <- mizer::coerceToExtensionClass(params) newDetritusCarrionParams <- function(species_params, ...) {     params <- newMultispeciesParams(species_params, ...,                                     resource_dynamics = \"detritus_dynamics\")     # ... set up rate functions, components, colours ...      params@extensions <- mizer::getRegisteredExtensions()     params <- mizer::coerceToExtensionClass(params) }"},{"path":"https://sizespectrum.org/mizer/articles/extension-packages.html","id":"what-paramsextensions---getregisteredextensions-does","dir":"Articles","previous_headings":"Dispatching extensions: mizerShelf > Creating objects: the two commands","what":"What params@extensions <- getRegisteredExtensions() does","title":"Creating a mizer extension package","text":"getRegisteredExtensions() returns current session’s extension chain — everything registered via .onLoad hooks since R started. Storing params object like stamping object bill materials: records exactly extension packages active object created. mizer uses record two ways: object loaded disk readParams(), mizer checks recorded extensions installed current session warns user missing outdated. readParams() also calls coerceToExtensionClass() automatically, using @extensions decide S4 class restore object . Note @extensions records full chain active creation time, just outermost extension. mizerShelf registered extension, @extensions c(mizerShelf = \"1.0.0\"). outer extension also loaded, appear chain. object always coerced class outermost extension chain, object created mizerShelf registered remain mizerShelf object even mizerOuter also loaded current session.","code":""},{"path":"https://sizespectrum.org/mizer/articles/extension-packages.html","id":"what-coercetoextensionclassparams-does","dir":"Articles","previous_headings":"Dispatching extensions: mizerShelf > Creating objects: the two commands","what":"What coerceToExtensionClass(params) does","title":"Creating a mizer extension package","text":"point params still plain MizerParams object far R concerned. called getBiomass(params) now, R call standard mizer getBiomass.MizerParams rather getBiomass.mizerShelf. coerceToExtensionClass() reads params@extensions, finds outermost extension provides dispatch class, promotes object S4 class. call, params class c(\"mizerShelf\", \"MizerParams\"), R dispatch getBiomass.mizerShelf automatically. step replaced simple class(params) <- \"mizerShelf\": MizerParams formal S4 class, R enforces class hierarchy strictly direct assignment fail. coerceToExtensionClass() uses appropriate S4 machinery internally.","code":""},{"path":"https://sizespectrum.org/mizer/articles/extension-packages.html","id":"what-about-mizersim-objects","dir":"Articles","previous_headings":"Dispatching extensions: mizerShelf","what":"What about MizerSim objects?","title":"Creating a mizer extension package","text":"need call coerceToExtensionClass() MizerSim objects. project() creates output calls MizerSim(), turn calls coerceToExtensionClass() new sim object. params slot inside sim already @extensions set, mizer knows promote sim mizerShelfSim automatically. means : sim already class mizerShelfSim, method defined class — getBiomass.mizerShelfSim — dispatched automatically.","code":"sim <- project(NWMed_params, t_max = 3)"},{"path":"https://sizespectrum.org/mizer/articles/extension-packages.html","id":"checklist-for-package-authors","dir":"Articles","previous_headings":"","what":"Checklist for package authors","title":"Creating a mizer extension package","text":"building dispatching extension package, verify following: Define setClass(\"<myExtension>\", contains = \"MizerParams\") setClass(\"<myExtension>Sim\", contains = \"MizerSim\") new slots. Call mizer::registerExtension(pkgname, requirement = ...) .onLoad. End every constructor params@extensions <- getRegisteredExtensions() coerceToExtensionClass(params). Register every S3 method NAMESPACE (via @method + @export). Call NextMethod() every method override. Store extension-specific state other_params(params) component parameters, new S4 slots. metadata-packages, second third items apply (coerceToExtensionClass() needed — just record params@extensions <- getRegisteredExtensions()).","code":""},{"path":"https://sizespectrum.org/mizer/articles/extension-packages.html","id":"see-also","dir":"Articles","previous_headings":"","what":"See also","title":"Creating a mizer extension package","text":"vignette(\"extensions\", package = \"mizer\") full menu extension mechanisms (custom rate functions, components, subclassing, ). ?registerExtension ?getRegisteredExtensions ?coerceToExtensionClass","code":""},{"path":"https://sizespectrum.org/mizer/articles/extensions.html","id":"overview","dir":"Articles","previous_headings":"","what":"Overview","title":"Extending mizer","text":"vignette users want change mizer works without editing package source code. five main extension routes: Use setExtEncounter() setExtMort() want add simple external food mortality sources need dynamics. Use setRateFunction() want replace one standard rate calculations encounter, growth, mortality, recruitment. Use setComponent() want add new ecosystem component detritus, carrion, extra resource pool. Use S3 subclassing MizerParams MizerSim want extend generic mizer methods plotting summaries custom model type. Use customFunction() last resort neither first four mechanisms sufficient. safest workflow start smallest change can express idea. particular, need change one rate, prefer setRateFunction() replacing mizerRates() patching internal mizer functions.","code":""},{"path":"https://sizespectrum.org/mizer/articles/extensions.html","id":"choosing-an-extension-mechanism","dir":"Articles","previous_headings":"","what":"Choosing an extension mechanism","title":"Extending mizer","text":"following table quick guide.","code":""},{"path":"https://sizespectrum.org/mizer/articles/extensions.html","id":"setextencounter-and-setextmort","dir":"Articles","previous_headings":"Choosing an extension mechanism","what":"setExtEncounter() and setExtMort()","title":"Extending mizer","text":"lightest-weight extension mechanisms. useful want represent ecosystem processes affect fish need separate state variable dynamics. Typical uses : extra food sources modelled explicitly, via setExtEncounter(), mortality predators outside model, via setExtMort(). quantities species x size arrays: ext_encounter units mass per year added directly getEncounter(), ext_mort units 1/year contributes directly mortality. need fixed background contribution, usually better choice setComponent(). See Worked example: non-dynamical external encounter mortality.","code":""},{"path":"https://sizespectrum.org/mizer/articles/extensions.html","id":"setratefunction","dir":"Articles","previous_headings":"Choosing an extension mechanism","what":"setRateFunction()","title":"Extending mizer","text":"Use setRateFunction() model still fits mizer’s standard flow rate calculations, one step done differently. Examples include: making encounter mortality explicitly time-dependent, using alternative growth reproduction formulation, swapping different recruitment density-dependence, replacing whole mizerRates() pipeline custom version. function registered name: function must available name global environment installed package. mizer stores function name, function object. See Worked example: custom encounter function.","code":"params <- setRateFunction(params, \"Mort\", \"myMort\")"},{"path":"https://sizespectrum.org/mizer/articles/extensions.html","id":"setcomponent","dir":"Articles","previous_headings":"Choosing an extension mechanism","what":"setComponent()","title":"Extending mizer","text":"Use setComponent() model needs additional dynamical quantity already represented MizerParams, example detritus, carrion, oxygen pool, second resource spectrum. component can contribute model three ways: dynamics_fun updates component projection, encounter_fun adds getEncounter(), mort_fun adds getMort(). component state can R object. example can scalar, vector resource size grid, list several fields. See Worked example: adding detritus-like component.","code":""},{"path":"https://sizespectrum.org/mizer/articles/extensions.html","id":"s4-subclassing-with-s3-methods-for-mizerparams-and-mizersim","dir":"Articles","previous_headings":"Choosing an extension mechanism","what":"S4 subclassing with S3 methods for MizerParams and MizerSim","title":"Extending mizer","text":"flexible extension route still works mizer’s public generic functions. Although MizerParams MizerSim S4 classes, mizer registers many user-facing methods S3 methods. means extension package authors can define formal S4 subclass objects provide S3 methods subclass : plotBiomass.MyMizerSim(), summary.MyMizerParams(), getBiomass.MyMizerSim(). especially useful added extra components metadata want mizer’s summaries plots include . multiple extension packages may want modify function, method call NextMethod() contributions compose correctly. See vignette(\"extension-packages\", package = \"mizer\") step--step guide.","code":""},{"path":"https://sizespectrum.org/mizer/articles/extensions.html","id":"customfunction","dir":"Articles","previous_headings":"Choosing an extension mechanism","what":"customFunction()","title":"Extending mizer","text":"Use customFunction() confirmed goal expressed setRateFunction(), setComponent(), resource_dynamics()<-, setReproduction(). replaces internal mizer function package namespace can easily break package replacement fully compatible.","code":""},{"path":"https://sizespectrum.org/mizer/articles/extensions.html","id":"worked-example-non-dynamical-external-encounter-and-mortality","dir":"Articles","previous_headings":"","what":"Worked example: non-dynamical external encounter and mortality","title":"Extending mizer","text":"extra ecological process need state variable, can often model external encounter external mortality. example, suppose species fixed extra food source scales allometrically body size: adds extra_food directly total encounter rate: Similarly, can add fixed external mortality term: route appropriate : extra process depleted replenished dynamically, fish affected feed back , want transparent species x size term rather new component.","code":"params_ext <- NS_params extra_food <- outer(rep(0.1, nrow(species_params(params_ext))),                     w(params_ext)^(3/4)) ext_encounter(params_ext) <- ext_encounter(params_ext) + extra_food enc_base <- getEncounter(NS_params) enc_ext <- getEncounter(params_ext) range(enc_ext - enc_base, na.rm = TRUE) #> [1] 5.623413e-04 2.820537e+02 params_mort <- NS_params extra_mort <- outer(rep(0.05, nrow(species_params(params_mort))),                     w(params_mort)^(-1/4)) ext_mort(params_mort) <- ext_mort(params_mort) + extra_mort"},{"path":"https://sizespectrum.org/mizer/articles/extensions.html","id":"worked-example-a-custom-encounter-function","dir":"Articles","previous_headings":"","what":"Worked example: a custom encounter function","title":"Extending mizer","text":"next step complexity modify one rate delegating work back built-mizer function. example adds sinusoidal seasonal multiplier standard encounter rate. Register function inspect result:  pattern often easiest way extend mizer safely: fetch custom parameters other_params(params), compute modifier, call standard mizer rate function, return plain numeric matrix shape. See custom rate functions called info.","code":"params <- NS_params other_params(params) <- list(     season_amplitude = 0.2,     season_period = 1 ) seasonalEncounter <- function(params, n, n_pp, n_other, t, ...) {     p <- other_params(params)     multiplier <- 1 + p$season_amplitude * sin(2 * pi * t / p$season_period)     multiplier * mizerEncounter(params, n = n, n_pp = n_pp, n_other = n_other,                                 t = t, ...) } params2 <- setRateFunction(params, \"Encounter\", \"seasonalEncounter\") enc0 <- getEncounter(params2, t = 0) enc_quarter <- getEncounter(params2, t = 0.25) range(enc_quarter / enc0, na.rm = TRUE) #> [1] 1.2 1.2 sim <- project(params2, t_max = 2, t_save = 0.1) plotBiomass(sim)"},{"path":"https://sizespectrum.org/mizer/articles/extensions.html","id":"testing-a-custom-rate-function","dir":"Articles","previous_headings":"Worked example: a custom encounter function","what":"Testing a custom rate function","title":"Extending mizer","text":"develop extension package, add tests compare custom rate function built-behaviour simple case. seasonal example good first test check: t = 0, result equals mizerEncounter(), t = 0.25, result scaled 1 + season_amplitude, returned object dimensions dimnames initialN(params).","code":""},{"path":"https://sizespectrum.org/mizer/articles/extensions.html","id":"worked-example-adding-a-detritus-like-component","dir":"Articles","previous_headings":"","what":"Worked example: adding a detritus-like component","title":"Extending mizer","text":"Now suppose want add component consumed fish slowly relaxes back carrying capacity. store component full resource size grid can used like extra prey spectrum. component added: initial state available via initialNOther(params3)$detritus, settings can inspected getComponent(params3, \"detritus\"), contribution included automatically getEncounter() getDiet(). example:  also want component contribute mortality, add mort_fun calling setComponent().","code":"detritusEncounter <- function(params, n, n_pp, n_other, component, ...) {     params2 <- params     params2@other_encounter[[component]] <- NULL     mizerEncounter(params2, n = n, n_pp = n_other[[component]],                    n_other = n_other, ...) }  detritusDynamics <- function(params, n_other, rates, dt, component, ...) {     detritus <- n_other[[component]]     p <- params@other_params[[component]]     interaction <- params@species_params$interaction_resource     mort <- as.vector(interaction %*% rates$pred_rate)     target <- p$rate * p$capacity / (p$rate + mort)     target - (target - detritus) * exp(-(p$rate + mort) * dt) } detritus_params <- list(     capacity = initialNResource(params),     rate = params@rr_pp )  params3 <- setComponent(     params,     component = \"Detritus\",     initial_value = initialNResource(params) / 2,     dynamics_fun = \"detritusDynamics\",     encounter_fun = \"detritusEncounter\",     component_params = detritus_params,     colour = \"orange\" ) plotDiet(params3, species = \"Cod\")"},{"path":"https://sizespectrum.org/mizer/articles/extensions.html","id":"s4-subclassing-with-s3-method-dispatch","dir":"Articles","previous_headings":"","what":"S4 subclassing with S3 method dispatch","title":"Extending mizer","text":"extension needs change generic mizer functions behave — example making getBiomass() include extra components, making plotBiomass() show additional panels — right approach define marker S4 subclass register S3 methods class. makes multiple extension packages composable: package adds step passes control next via NextMethod(). step--step guide writing kind extension package, including worked examples mizerStarvation mizerShelf, see vignette(\"extension-packages\", package = \"mizer\").","code":""},{"path":"https://sizespectrum.org/mizer/articles/extensions.html","id":"how-custom-rate-functions-are-called","dir":"Articles","previous_headings":"","what":"How custom rate functions are called","title":"Extending mizer","text":"overridable rate expected function signature return shape. important point custom rate functions return plain numeric objects, ArraySpeciesBySize ArraySpeciesByTime objects. get*() wrappers add classes afterwards appropriate. table summarises required inputs outputs.","code":""},{"path":"https://sizespectrum.org/mizer/articles/extensions.html","id":"common-arguments","dir":"Articles","previous_headings":"How custom rate functions are called","what":"Common arguments","title":"Extending mizer","text":"custom rate functions use core arguments: params: MizerParams object, n: species abundance species size, n_pp: resource abundance full size grid, n_other: named list additional component states, t: current simulation time. rates also receive prerequisite rates already calculated earlier pipeline, example encounter, feeding_level, pred_mort.","code":""},{"path":"https://sizespectrum.org/mizer/articles/extensions.html","id":"dimensions-and-dimnames","dir":"Articles","previous_headings":"How custom rate functions are called","what":"Dimensions and dimnames","title":"Extending mizer","text":"size-resolved rates return matrix dimensions initialN(params), species x size matrix dimnames. two important exceptions : PredRate, uses full prey size grid therefore returns species x w_full, ResourceMort, returns one value per w_full bin rather one value per species. registration time setRateFunction() calls function test inputs checks returned object expected dimensions. catches many mistakes immediately. moving dynamical components, worth seeing even simpler case non-dynamical extension.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/articles/extensions.html","id":"start-from-a-built-in-function","dir":"Articles","previous_headings":"Practical advice for extension authors","what":"Start from a built-in function","title":"Extending mizer","text":"possible, copy relevant built-mizer function, make one change, register modified version. makes much easier stay compatible rest rate pipeline.","code":""},{"path":"https://sizespectrum.org/mizer/articles/extensions.html","id":"keep-model-wide-and-component-specific-parameters-separate","dir":"Articles","previous_headings":"Practical advice for extension authors","what":"Keep model-wide and component-specific parameters separate","title":"Extending mizer","text":"Use: other_params(params) parameters used custom rate functions across whole model, component_params setComponent() parameters belonging one component . keeps structure params@other_params readable makes debugging much easier.","code":""},{"path":"https://sizespectrum.org/mizer/articles/extensions.html","id":"return-plain-numeric-objects","dir":"Articles","previous_headings":"Practical advice for extension authors","what":"Return plain numeric objects","title":"Extending mizer","text":"replace built-rate function, return plain matrix, vector, list expected dimensions. return ArraySpeciesBySize objects custom rate functions called setRateFunction().","code":""},{"path":"https://sizespectrum.org/mizer/articles/extensions.html","id":"preserve-dimnames-where-possible","dir":"Articles","previous_headings":"Practical advice for extension authors","what":"Preserve dimnames where possible","title":"Extending mizer","text":"Many bugs extension code come returning right numeric values wrong shape. good habit build outputs existing mizer arrays dimensions dimnames inherited automatically.","code":""},{"path":"https://sizespectrum.org/mizer/articles/extensions.html","id":"test-registration-and-use","dir":"Articles","previous_headings":"Practical advice for extension authors","what":"Test registration and use","title":"Extending mizer","text":"Test : setRateFunction() setComponent() succeeds, downstream function care , getEncounter(), getDiet(), project(), uses extension intended.","code":""},{"path":"https://sizespectrum.org/mizer/articles/extensions.html","id":"when-to-move-beyond-a-local-script","dir":"Articles","previous_headings":"","what":"When to move beyond a local script","title":"Extending mizer","text":"extension becomes useful across several projects, consider turning small package. gives : stable namespace mizer can find functions name, natural place unit tests documentation, versioning can recorded params@extensions. larger changes may also want discuss design mizer issue tracker committing interface.","code":""},{"path":"https://sizespectrum.org/mizer/articles/extensions.html","id":"see-also","dir":"Articles","previous_headings":"","what":"See also","title":"Extending mizer","text":"vignette(\"developer_vignette\") broader guide working mizer code base, ?setRateFunction, ?setComponent, ?customFunction, ?getRates.","code":""},{"path":"https://sizespectrum.org/mizer/articles/mathematical_details.html","id":"conservation-equations","dir":"Articles","previous_headings":"","what":"Conservation Equations","title":"Mathematical Details of the Mizer Implementation","text":"model dynamics described McKendrick-von Foerster equation species number densities \\(N_i(w)\\) resource number density \\(N_R(w)\\).","code":""},{"path":"https://sizespectrum.org/mizer/articles/mathematical_details.html","id":"the-convolution-integrals","dir":"Articles","previous_headings":"","what":"The Convolution Integrals","title":"Mathematical Details of the Mizer Implementation","text":"encounter rate \\(E_i(w)\\) predator species \\(\\) weight \\(w\\) given \\[ E_i(w) = \\gamma_i(w) \\int \\left( \\theta_{ip} N_R(w_p) + \\sum_{j} \\theta_{ij} N_j(w_p) \\right) \\phi_i(w,w_p) w_p \\, dw_p. \\] first term integral contribution resource second term contribution fish prey. \\(\\gamma_i(w)\\) search volume, \\(\\theta_{ij}\\) interaction matrix, \\(\\phi_i(w,w_p)\\) predation kernel. predation rate \\(P_j(w_p)\\) prey species \\(j\\) size \\(w_p\\) given \\[ P_j(w_p) = \\sum_i \\int \\phi_i(w,w_p) (1-f_i(w)) \\gamma_i(w) N_i(w) \\, dw. \\] \\(f_i(w)\\) feeding level predator.","code":""},{"path":"https://sizespectrum.org/mizer/articles/mathematical_details.html","id":"discretization-on-logarithmic-grid","dir":"Articles","previous_headings":"","what":"Discretization on Logarithmic Grid","title":"Mathematical Details of the Mizer Implementation","text":"use logarithmic grid weights \\(w_k = w_1 \\beta^{k-1}\\) \\(k=1,\\dots,K\\), \\(\\beta = 10^{\\Delta x}\\). integral prey size \\(w_p\\) transforms sum grid indices \\(k\\). Assuming predation kernel depends predator/prey mass ratio \\(w/w_p\\), .e., \\(\\phi_i(w,w_p) = \\tilde{\\phi}_i(w/w_p)\\), converting log-space \\(x = \\log_\\beta w\\), integrals become convolutions. Let \\(x_k = \\log_\\beta w_k = x_1 + (k-1)\\). term \\(\\phi_i(w_n, w_k) = \\tilde{\\phi}_i(\\beta^{n-k})\\).","code":""},{"path":"https://sizespectrum.org/mizer/articles/mathematical_details.html","id":"fast-fourier-transform-implementation","dir":"Articles","previous_headings":"","what":"Fast Fourier Transform Implementation","title":"Mathematical Details of the Mizer Implementation","text":"evaluation convolution sums computationally expensive done directly (\\(\\mathcal{O}(K^2)\\)). using Fast Fourier Transform (FFT), can reduce complexity \\(\\mathcal{O}(K \\log K)\\).","code":""},{"path":"https://sizespectrum.org/mizer/articles/mathematical_details.html","id":"encounter-rate","dir":"Articles","previous_headings":"Fast Fourier Transform Implementation","what":"Encounter Rate","title":"Mathematical Details of the Mizer Implementation","text":"integral encounter rate can written convolution available prey energy density predation kernel. Let \\((w_p) = (\\theta_{ip} N_R(w_p) + \\sum_{j} \\theta_{ij} N_j(w_p)) w_p\\). discretized encounter rate (ignoring coefficients) roughly \\[ E[n] = \\sum_k \\tilde{\\phi}[n-k] [k] \\] mizer, define ft_pred_kernel_e FFT predation kernel. available energy calculated, transformed via FFT, multiplied ft_pred_kernel_e, inverse transformed. code mizerEncounter() implements :","code":"avail_energy <- Re(base::t(mvfft(base::t(params@ft_pred_kernel_e) *                                      mvfft(base::t(prey)),                            inverse = TRUE))) / length(params@w_full)"},{"path":"https://sizespectrum.org/mizer/articles/mathematical_details.html","id":"predation-rate","dir":"Articles","previous_headings":"Fast Fourier Transform Implementation","what":"Predation Rate","title":"Mathematical Details of the Mizer Implementation","text":"Similarly, predation rate convolution predator density (scaled search volume feeding level) predation kernel. However, slight difference indexing integral predator sizes \\(w\\), whereas kernel usually defined terms predator/prey ratio. \\[ P(w_p) = \\int \\tilde{\\phi}(w/w_p) D(w) dw \\] \\(D(w) = (1-f(w)) \\gamma(w) N(w)\\). terms indices: \\[ P[k] = \\sum_n \\tilde{\\phi}[n-k] D[n] \\] compute standard convolution \\(P[k] = \\sum_n \\psi[k-n] D[n]\\), need define reversed kernel \\(\\psi[m] = \\tilde{\\phi}[-m]\\). setPredKernel() calculates ft_pred_kernel_p using reversed version kernel. phi_p construction effectively reverses kernel wraps around suit FFT definition convolution.","code":"# R/setPredKernel.R ri <- min(max(which(phi > 0)), no_w_full - 1)  # index of largest ppmr phi_p <- rep(0, no_w_full) phi_p[(no_w_full - ri + 1):no_w_full] <- phi[(ri + 1):2] ft_pred_kernel_p[i, ] <- fft(phi_p)"},{"path":"https://sizespectrum.org/mizer/articles/mathematical_details.html","id":"the-wrap-around-hack-ft_mask","dir":"Articles","previous_headings":"","what":"The Wrap-around Hack (ft_mask)","title":"Mathematical Details of the Mizer Implementation","text":"FFT-based convolution actually circular convolution. means effects largest sizes can “wrap around” affect smallest sizes, unphysical context (large predators don’t eat orders magnitude smaller prey preference, certainly “negative” sizes wrapping positive). avoid artifacts circularity, pad grid careful masking. mizer, use ft_mask zero predation rate sizes receive predation largest predators (larger maximum predator size due kernel support). mizerPredRate(): ft_mask ensures don’t get spurious predation mortality sizes shouldn’t exist due periodic nature DFT. ft_mask logical array (0 1) 1 strictly sizes smaller maximum size species, preventing “tail” convolution wrapping around small sizes.","code":"return(pred_rate * params@ft_mask)"},{"path":"https://sizespectrum.org/mizer/articles/mizer.html","id":"overview","dir":"Articles","previous_headings":"","what":"Overview","title":"Getting started with mizer","text":"mizer package implements multi-species dynamic Size-spectrum models R. designed modelling aquatic ecosystems. Using mizer relatively simple. four main stages, described detail sections . Installing mizer. Setting model parameters. Running simulation. Exploring results. run difficulties questions suggestions, let us know posting issue tracker. can also twitter @mizer_model. love hear . good way get mizer follow online mizer course. course three parts, consisting several tutorials example code exercises: Part 1: Understand gain understanding size spectra dynamics exploring simple example systems hands-mizer. Part 2: Build build multi-species mizer model Celtic sea, following example. can also create model area interest. Part 3: Use explore effects changes fishing changes resource dynamics fish community fisheries yield. run model scenarios. Click preview open mizer cheat sheet. series YouTube videos Richard Southwell mizer however longer entirely --date.","code":""},{"path":"https://sizespectrum.org/mizer/articles/mizer.html","id":"installing-mizer","dir":"Articles","previous_headings":"","what":"Installing mizer","title":"Getting started with mizer","text":"already R installed computer, installation mizer package simple (assuming active internet connection). Just start R session type: installing mizer, actually use , need load package using library() function. Note whilst need install package , need loaded every time start new R session. Mizer compatible R versions 3.5 later. can install R computer following instructions https://cran.r-project.org/ particular platform. Alternatively, can want install R computer, can also work R RStudio internet browser creating free account https://rstudio.cloud. can install mizer described . Running mizer RStudio Cloud may slightly slower running locally machine, speed usually quite acceptable. guide assumes using RStudio work R. really reason use RStudio makes lot things much easier. RStudio develops rapidly adds useful features time pays upgrade latest version frequently. guide written version 2023.12.1. source code mizer hosted GitHub. feeling brave wish try development version mizer can install package using R package devtools (used extensively putting together mizer). yet installed devtools, can install latest version GitHub using","code":"install.packages(\"mizer\") library(mizer) install.packages(\"devtools\") devtools::install_github(\"sizespectrum/mizer\")"},{"path":"https://sizespectrum.org/mizer/articles/mizer.html","id":"setting-the-model-parameters","dir":"Articles","previous_headings":"","what":"Setting the model parameters","title":"Getting started with mizer","text":"mizer possible implement many different types size-spectrum models using basic tools methods. Setting model parameters done creating object class ? MizerParams. includes model parameters life history parameters species, fishing gears. type sizespectrum model function creating new MizerParams object, newSingleSpeciesParams(), newCommunityParams(), newTraitParams() newMultispeciesParams(). functions make reasonable default choices many model parameters want specify explicitly. example set simple model (described Community Model section) can even let mizer choose parameters . complicated multi-species model need provide data frame species parameters. example North Sea model included package. also use species interaction matrix North Sea species. notes printed function show us mizer calculated default values many parameters provided.","code":"params <- newCommunityParams() params <- newMultispeciesParams(NS_species_params, NS_interaction) ## Because you have n != p, the default value for `h` is not very good. ## Because the age at maturity is not known, I need to fall back to using ## von Bertalanffy parameters, where available, and this is not reliable. ## No ks column so calculating from critical feeding level. ## Using z0 = z0pre * w_max ^ z0exp for missing z0 values. ## Using f0, h, lambda, kappa and the predation kernel to calculate gamma."},{"path":"https://sizespectrum.org/mizer/articles/mizer.html","id":"running-a-simulation","dir":"Articles","previous_headings":"","what":"Running a simulation","title":"Getting started with mizer","text":"done calling project() function (“project forward time”) model parameters. produces object class MizerSim contains results simulation. example chose set parameters project() function specify want project 10 years future, assumption unit fishing effort. can see help page project() details described fully section running simulation.","code":"sim <- project(params, t_max = 10, effort = 1)"},{"path":"https://sizespectrum.org/mizer/articles/mizer.html","id":"exploring-the-results","dir":"Articles","previous_headings":"","what":"Exploring the results","title":"Getting started with mizer","text":"simulation run, results can examined using range ?plotting_functions, ?summary_functions ?indicator_functions. plot() function combines several plots one:  Just example: might interested proportion large fish varies time. can get proportion Herrings terms biomass weight 50g 10 years: can use full power R work results. functionality provided mizer explore simulation results fully described section exploring simulation results.","code":"plot(sim) getProportionOfLargeFish(sim,                           species = \"Herring\",                           threshold_w = 50,                           biomass_proportion = TRUE) ##         0         1         2         3         4         5         6         7  ## 0.8241807 0.1858698 0.7586884 0.6780193 0.3325129 0.3036110 0.4717033 0.6379461  ##         8         9        10  ## 0.5976582 0.5539731 0.5763835"},{"path":"https://sizespectrum.org/mizer/articles/mizer.html","id":"size-spectrum-models","dir":"Articles","previous_headings":"","what":"Size-spectrum models","title":"Getting started with mizer","text":"Size spectrum models emerged conceptually simple way model large community individuals grow change trophic level life. now growing literature describing different types size spectrum models (e.g. Benoît Rochet 2004; K. H. Andersen Beyer 2006; K. H. Andersen et al. 2008; Law et al. 2009; Hartvig 2011; Hartvig, Andersen, Beyer 2011). models can used understand marine communities organised (K. H. Andersen Beyer 2006; K. H. Andersen, Beyer, Lundberg 2009; Blanchard et al. 2009) respond fishing (K. H. Andersen Rice 2010; K. H. Andersen Pedersen 2010). section introduces central assumptions, concepts, processes, equations parameters size spectrum models. Roughly speaking four versions size spectrum modelling framework increasing complexity: single-species model, community model (Benoît Rochet 2004; Maury et al. 2007; Blanchard et al. 2009; Law et al. 2009), trait-based model (K. H. Andersen Beyer 2006; K. H. Andersen Pedersen 2010), multispecies model (Hartvig, Andersen, Beyer 2011). single-species, community trait-based models can considered simplifications multispecies model. section focuses multispecies model also applicable types models. Mizer able implement types model using similar commands. Size spectrum models subset physiologically structured models (Metz Diekmann 1986; De Roos Persson 2001) growth (thus maturation) food dependent, processes formulated terms individual level processes. parameters size spectrum models related individual weight makes possible formulate model small set general parameters, prompted label ``charmingly simple’’ model framework [Pope et al. (2006)}. model framework builds central assumption individual can characterized weight \\(w\\) species number \\(\\) . aim model calculate size- trait-spectrum \\({\\cal N}_i(w)\\) density individuals \\({\\cal N}_i(w)dw\\) number individuals interval \\([w:w+dw]\\). Scaling individual-level processes growth mortality size spectrum trait group achieved means McKendrick-von Foerster equation, simply continuity equation describes flow biomass size spectrum, \\[\\begin{equation}   \\frac{\\partial N_i(w)}{\\partial t} + \\frac{\\partial g_i(w) N_i(w)}{\\partial w} = -\\mu_i(w) N_i(w) \\end{equation}\\] individual growth \\(g_i(w)\\) mortality \\(\\mu_i(w)\\) coupled, growth one individual due predation another, consequently dies. continuity equation supplemented boundary condition egg weight \\(w_0\\) flux individuals (numbers per time) \\(g_i(w_0) N_i(w_0)\\) determined reproduction offspring mature individuals population \\(R_i\\): \\[\\begin{equation}   g_i(w_0)N_i(w_0) = R_i. \\end{equation}\\] rest formulation model rests number ``standard’’ assumptions ecology fisheries science encounters predators prey leads growth \\(g_i(w)\\) reproduction \\(R_i\\) predators, mortality prey \\(\\mu_i(w)\\). detailed exposition model see section mizer size-spectrum model. easiest learn basics mizer examples. looking four set-ups framework, increasing complexity. one article describes set model, run different scenarios, explore results. recommend explore following order:","code":""},{"path":"https://sizespectrum.org/mizer/articles/mizer.html","id":"single-species-model","dir":"Articles","previous_headings":"Size-spectrum models","what":"Single-species model","title":"Getting started with mizer","text":"single-species model good starting point allows one understand main features size-spectrum modelling without complexities multi-species interactions. model describes single species fixed background community. allows exploration shape species size spectrum determined growth death rates individuals species. article gives first glimpse work mizer, simplified setting.","code":""},{"path":"https://sizespectrum.org/mizer/articles/mizer.html","id":"community-model","dir":"Articles","previous_headings":"Size-spectrum models","what":"Community model","title":"Getting started with mizer","text":"community model, individuals characterized size represented single group representing across-species average. Community size spectrum models used investigate abundance size spectra emerge solely individual-level process size-based predation fishing impacts metrics community-level size spectra. Since parameters required used investigating large-scale community-level questions detailed trait- species-level parameterisations tractable.","code":""},{"path":"https://sizespectrum.org/mizer/articles/mizer.html","id":"trait-based-model","dir":"Articles","previous_headings":"Size-spectrum models","what":"Trait-based model","title":"Getting started with mizer","text":"trait-based model resolves continuum species varying maximum sizes. maximum size considered important trait characterizes species’ life history. continuum represented discrete number species spread evenly range maximum sizes. number species important affect general dynamics model. Many parameters, preferred predator-prey mass ratio, species. model parameters determined maximum size. example, weight maturation species set fraction maximum size. trait-based model, species-level complexity captured different life histories, intra- inter-specific size spectra emerge. approach powerful examining generic population whole community level responses size species selective fishing without requirement detailed species-specific parameters.","code":""},{"path":"https://sizespectrum.org/mizer/articles/mizer.html","id":"multispecies-model","dir":"Articles","previous_headings":"Size-spectrum models","what":"Multispecies model","title":"Getting started with mizer","text":"multispecies model individual species resolved detail distinct life history, feeding reproduction parameters. detailed information required parameterise multispecies model approach can used address management strategies realistic community specific region subset interacting species.","code":""},{"path":"https://sizespectrum.org/mizer/articles/mizer.html","id":"which-model-to-use","dir":"Articles","previous_headings":"Size-spectrum models","what":"Which model to use","title":"Getting started with mizer","text":"models predict abundance, biomass yield well predation mortality rates size. useful establishing baselines abundance unexploited communities, understanding fishing impacts aquatic communities testing indicators developed support ecosystem approach fisheries management. model use specific case depends needs amount information available calibrate model. multi-species model set systems calibration parameters can estimated. requires lot insight data. parameters just guesstimates results multi-species model accurate results trait-based model. situations therefore recommend use trait-based model, even though provides general information maximum size distribution specific species. community model useful large-scale community-level questions average spectrum needed. Care taken community model used infer dynamical properties marine ecosystems, since prone unrealistically strong oscillations due lack dampening effects provided life-history diversity trait-based multi-species models. single-species model mainly pedagogical use comparison single-species fisheries models. important aim size-spectrum modelling get away single-species thinking.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/articles/mizer_vignette.html","id":"overview","dir":"Articles","previous_headings":"","what":"Overview","title":"Getting started with mizer","text":"mizer package implements multi-species dynamic Size-spectrum models R. designed modelling aquatic ecosystems. Using mizer relatively simple. four main stages, described detail sections . Installing mizer. Setting model parameters. Running simulation. Exploring results. run difficulties questions suggestions, let us know posting issue tracker. can also twitter @mizer_model. love hear . good way get mizer follow online mizer course. course three parts, consisting several tutorials example code exercises: Part 1: Understand gain understanding size spectra dynamics exploring simple example systems hands-mizer. Part 2: Build build multi-species mizer model Celtic sea, following example. can also create model area interest. Part 3: Use explore effects changes fishing changes resource dynamics fish community fisheries yield. run model scenarios. series YouTube videos Richard Southwell mizer however longer entirely --date.","code":""},{"path":"https://sizespectrum.org/mizer/articles/mizer_vignette.html","id":"installing-mizer","dir":"Articles","previous_headings":"","what":"Installing mizer","title":"Getting started with mizer","text":"already R installed computer, installation mizer package simple (assuming active internet connection). Just start R session type: installing mizer, actually use , need load package using library() function. Note whilst need install package , need loaded every time start new R session. Mizer compatible R versions 3.1 later. can install R computer following instructions https://cran.r-project.org/ particular platform. Alternatively, can want install R computer, can also work R RStudio internet browser creating free account https://rstudio.cloud. can install mizer described . Running mizer RStudio Cloud may slightly slower running locally machine, speed usually quite acceptable. guide assumes using RStudio work R. really reason use RStudio makes lot things much easier. RStudio develops rapidly adds useful features time pays upgrade latest version frequently. guide written version 2023.12.1. source code mizer hosted GitHub. feeling brave wish try development version mizer can install package using R package devtools (used extensively putting together mizer). yet installed devtools, can install latest version GitHub using","code":"install.packages(\"mizer\") library(mizer) install.packages(\"devtools\") devtools::install_github(\"sizespectrum/mizer\")"},{"path":"https://sizespectrum.org/mizer/articles/mizer_vignette.html","id":"setting-the-model-parameters","dir":"Articles","previous_headings":"","what":"Setting the model parameters","title":"Getting started with mizer","text":"mizer possible implement many different types size-spectrum models using basic tools methods. Setting model parameters done creating object class ? MizerParams. includes model parameters life history parameters species, fishing gears. type sizespectrum model function creating new MizerParams object, newSingleSpeciesParams(), newCommunityParams(), newTraitParams() newMultispeciesParams(). functions make reasonable default choices many model parameters want specify explicitly. example set simple model (described Community Model section) can even let mizer choose parameters . complicated multi-species model need provide data frame species parameters. example North Sea model included package. also use species interaction matrix North Sea species. notes printed function show us mizer calculated default values many parameters provided.","code":"params <- newCommunityParams() params <- newMultispeciesParams(NS_species_params, NS_interaction) ## Because you have n != p, the default value for `h` is not very good. ## Because the age at maturity is not known, I need to fall back to using ## von Bertalanffy parameters, where available, and this is not reliable. ## No ks column so calculating from critical feeding level. ## Using z0 = z0pre * w_max ^ z0exp for missing z0 values. ## Using f0, h, lambda, kappa and the predation kernel to calculate gamma."},{"path":"https://sizespectrum.org/mizer/articles/mizer_vignette.html","id":"running-a-simulation","dir":"Articles","previous_headings":"","what":"Running a simulation","title":"Getting started with mizer","text":"done calling project() function (“project forward time”) model parameters. produces object class MizerSim contains results simulation. example chose set parameters project() function specify want project 10 years future, assumption unit fishing effort. can see help page project() details described fully section running simulation.","code":"sim <- project(params, t_max = 10, effort = 1)"},{"path":"https://sizespectrum.org/mizer/articles/mizer_vignette.html","id":"exploring-the-results","dir":"Articles","previous_headings":"","what":"Exploring the results","title":"Getting started with mizer","text":"simulation run, results can examined using range ?plotting_functions, ?summary_functions ?indicator_functions. plot() function combines several plots one:  Just example: might interested proportion large fish varies time. can get proportion Herrings terms biomass weight 50g 10 years: can use full power R work results. functionality provided mizer explore simulation results fully described section exploring simulation results.","code":"plot(sim) getProportionOfLargeFish(sim,                           species = \"Herring\",                           threshold_w = 50,                           biomass_proportion = TRUE) ##         0         1         2         3         4         5         6         7  ## 0.8241807 0.1858698 0.7586884 0.6780193 0.3325129 0.3036110 0.4717033 0.6379461  ##         8         9        10  ## 0.5976582 0.5539731 0.5763835"},{"path":"https://sizespectrum.org/mizer/articles/mizer_vignette.html","id":"size-spectrum-models","dir":"Articles","previous_headings":"","what":"Size-spectrum models","title":"Getting started with mizer","text":"Size spectrum models emerged conceptually simple way model large community individuals grow change trophic level life. now growing literature describing different types size spectrum models (e.g. Benoît Rochet 2004; K. H. Andersen Beyer 2006; K. H. Andersen et al. 2008; Law et al. 2009; Hartvig 2011; Hartvig, Andersen, Beyer 2011). models can used understand marine communities organised (K. H. Andersen Beyer 2006; K. H. Andersen, Beyer, Lundberg 2009; Blanchard et al. 2009) respond fishing (K. H. Andersen Rice 2010; K. H. Andersen Pedersen 2010). section introduces central assumptions, concepts, processes, equations parameters size spectrum models. Roughly speaking four versions size spectrum modelling framework increasing complexity: single-species model, community model (Benoît Rochet 2004; Maury et al. 2007; Blanchard et al. 2009; Law et al. 2009), trait-based model (K. H. Andersen Beyer 2006; K. H. Andersen Pedersen 2010), multispecies model (Hartvig, Andersen, Beyer 2011). single-species, community trait-based models can considered simplifications multispecies model. section focuses multispecies model also applicable types models. Mizer able implement types model using similar commands. Size spectrum models subset physiologically structured models (Metz Diekmann 1986; De Roos Persson 2001) growth (thus maturation) food dependent, processes formulated terms individual level processes. parameters size spectrum models related individual weight makes possible formulate model small set general parameters, prompted label ``charmingly simple’’ model framework [Pope et al. (2006)}. model framework builds central assumption individual can characterized weight \\(w\\) species number \\(\\) . aim model calculate size- trait-spectrum \\({\\cal N}_i(w)\\) density individuals \\({\\cal N}_i(w)dw\\) number individuals interval \\([w:w+dw]\\). Scaling individual-level processes growth mortality size spectrum trait group achieved means McKendrick-von Foerster equation, simply continuity equation describes flow biomass size spectrum, \\[\\begin{equation}   \\frac{\\partial N_i(w)}{\\partial t} + \\frac{\\partial g_i(w) N_i(w)}{\\partial w} = -\\mu_i(w) N_i(w) \\end{equation}\\] individual growth \\(g_i(w)\\) mortality \\(\\mu_i(w)\\) coupled, growth one individual due predation another, consequently dies. continuity equation supplemented boundary condition egg weight \\(w_0\\) flux individuals (numbers per time) \\(g_i(w_0) N_i(w_0)\\) determined reproduction offspring mature individuals population \\(R_i\\): \\[\\begin{equation}   g_i(w_0)N_i(w_0) = R_i. \\end{equation}\\] rest formulation model rests number ``standard’’ assumptions ecology fisheries science encounters predators prey leads growth \\(g_i(w)\\) reproduction \\(R_i\\) predators, mortality prey \\(\\mu_i(w)\\). detailed exposition model see section mizer size-spectrum model. easiest learn basics mizer examples. looking four set-ups framework, increasing complexity. one article describes set model, run different scenarios, explore results. recommend explore following order:","code":""},{"path":"https://sizespectrum.org/mizer/articles/mizer_vignette.html","id":"single-species-model","dir":"Articles","previous_headings":"Size-spectrum models","what":"Single-species model","title":"Getting started with mizer","text":"single-species model good starting point allows one understand main features size-spectrum modelling without complexities multi-species interactions. model describes single species fixed background community. allows exploration shape species size spectrum determined growth death rates individuals species. article gives first glimpse work mizer, simplified setting.","code":""},{"path":"https://sizespectrum.org/mizer/articles/mizer_vignette.html","id":"community-model","dir":"Articles","previous_headings":"Size-spectrum models","what":"Community model","title":"Getting started with mizer","text":"community model, individuals characterized size represented single group representing across-species average. Community size spectrum models used investigate abundance size spectra emerge solely individual-level process size-based predation fishing impacts metrics community-level size spectra. Since parameters required used investigating large-scale community-level questions detailed trait- species-level parameterisations tractable.","code":""},{"path":"https://sizespectrum.org/mizer/articles/mizer_vignette.html","id":"trait-based-model","dir":"Articles","previous_headings":"Size-spectrum models","what":"Trait-based model","title":"Getting started with mizer","text":"trait-based model resolves continuum species varying maximum sizes. maximum size considered important trait characterizes species’ life history. continuum represented discrete number species spread evenly range maximum sizes. number species important affect general dynamics model. Many parameters, preferred predator-prey mass ratio, species. model parameters determined maximum size. example, weight maturation species set fraction maximum size. trait-based model, species-level complexity captured different life histories, intra- inter-specific size spectra emerge. approach powerful examining generic population whole community level responses size species selective fishing without requirement detailed species-specific parameters.","code":""},{"path":"https://sizespectrum.org/mizer/articles/mizer_vignette.html","id":"multispecies-model","dir":"Articles","previous_headings":"Size-spectrum models","what":"Multispecies model","title":"Getting started with mizer","text":"multispecies model individual species resolved detail distinct life history, feeding reproduction parameters. detailed information required parameterise multispecies model approach can used address management strategies realistic community specific region subset interacting species.","code":""},{"path":"https://sizespectrum.org/mizer/articles/mizer_vignette.html","id":"which-model-to-use","dir":"Articles","previous_headings":"Size-spectrum models","what":"Which model to use","title":"Getting started with mizer","text":"models predict abundance, biomass yield well predation mortality rates size. useful establishing baselines abundance unexploited communities, understanding fishing impacts aquatic communities testing indicators developed support ecosystem approach fisheries management. model use specific case depends needs amount information available calibrate model. multi-species model set systems calibration parameters can estimated. requires lot insight data. parameters just guesstimates results multi-species model accurate results trait-based model. situations therefore recommend use trait-based model, even though provides general information maximum size distribution specific species. community model useful large-scale community-level questions average spectrum needed. Care taken community model used infer dynamical properties marine ecosystems, since prone unrealistically strong oscillations due lack dampening effects provided life-history diversity trait-based multi-species models. single-species model mainly pedagogical use comparison single-species fisheries models. important aim size-spectrum modelling get away single-species thinking.","code":""},{"path":[]},{"path":[]},{"path":"https://sizespectrum.org/mizer/articles/model_description.html","id":"consumer-densities","dir":"Articles","previous_headings":"Size spectrum dynamics","what":"Consumer densities","title":"The General Mizer Size-spectrum Model","text":"model assumes , first approximation, individual can characterized weight \\(w\\) species number \\(\\) . aim model calculate size spectrum \\(N_i(w)\\), density individuals species \\(\\) \\(\\int_w^{w+dw}N_i(w)dw\\) number individuals species \\(\\) size interval \\([w,w+dw]\\). words: number individuals size range area number density \\(N_i(w)\\). plot example size spectrum two species \\(N_i(w)\\) vertical axis \\(=1,2\\) \\(w\\) horizontal axis.  represent continuous size spectrum computer, size variable \\(w\\) discretized vector w discrete weights, providing grid sizes spanning range smallest egg size largest maximum size. grid values divide full size range finite number size bins. size bins chosen small enough avoid discretisation errors becoming big. can fetch vector w() vector bin sizes dw(). weight grid set logarithmically spaced, w[j]=w[1]*10^(j*dx) fixed dx. means bin widths increase size: dw[j] = w[j+1] - w[j] = w[j] * (10^dx - 1). grid set automatically creating MizerParams object. code size spectrum stored array N N[, ] holds density \\(N_i(w_a)\\) weights \\(w_a=\\)w[], , time dependence included, array N[, , u] holds \\(N_i(w_a,t_u)\\). See N(). Note , contrary one might expected, N[, ] number individuals size bin density grid point. number individuals size bin w[] w[+1]=w[]+dw[] approximately given N[, ]*dw[], dw[]= w[+1]-w[]. course calculations discrete sizes size bins giving approximations continuous values, approximations get better smaller size bins , .e., size bins used. functions setting MizerParams objects allow choose number size bins no_w.","code":"library(mizer) params <- newTraitParams(no_sp = 2, min_w = 1e-3) plotSpectra(params, resource = FALSE, power = 0)"},{"path":"https://sizespectrum.org/mizer/articles/model_description.html","id":"traffic-on-the-road-to-adulthood","dir":"Articles","previous_headings":"Size spectrum dynamics","what":"Traffic on the road to adulthood","title":"The General Mizer Size-spectrum Model","text":"good way think time evolution number density \\(N_i(w)\\) consider familiar situation traffic density roads. fish’s life journey along size axis egg size size death. many fish making journey. speed fish move along size axis growth rate. quite analogous speed traffic road. Just speed cars depends density cars road, growth rate fish depends density fish. density cars stretch road high, speed decreases, leads pile-can lead traffic jams. Similarly density fish size interval high, growth rate goes due competition food sources, can lead pile-ups bottlenecks. one just replace space variable traffic model size get equation fish size spectra. additional feature evolution fish densities present road traffic density fish can die growing , death rate also dependent density fish. time evolution number density \\(N_i(w)\\) described McKendrick-von Foerster equation, transport equation (one use traffic density) additional loss term due fish mortality: \\[   \\label{eq:MvF}   \\frac{\\partial N_i(w)}{\\partial t} + \\frac{\\partial g_i(w) N_i(w)}{\\partial w}   = -\\mu_i(w) N_i(w), \\] individual growth \\(g_i(w)\\) described Growth section mortality \\(\\mu_i(w)\\) described Mortality section. need understand mathematical notation used equation understand origin: just says rate number fish size bracket changes rate fish grow size bracket smaller size minus rate fish grow larger size minus rate fish size bracket die. simulate size spectrum dynamics need specify growth rates mortality rates. . important point rates depend density fish sizes, making size-spectrum dynamics non-linear non-local interesting ways. resulting effects complicated disentangle pure thought. simulations mizer package come . McKendrick-von Foerster equation approximated mizer finite-difference method. allows project() function mizer project size spectrum forwards time: Given spectrum one time project() function calculates set later times. course also needs reproduction smallest size class, otherwise small fish . smallest size class instead rate growth size class rate reproduction new individuals size class. reproduction described Reproduction section.","code":""},{"path":"https://sizespectrum.org/mizer/articles/model_description.html","id":"resource-density","dir":"Articles","previous_headings":"Size spectrum dynamics","what":"Resource density","title":"The General Mizer Size-spectrum Model","text":"Besides fish spectrum also resource spectrum \\(N_R(w)\\), representing example phytoplankton. spectrum starts smaller size fish spectrum, order provide food also smallest individuals (larvae) fish spectrum. default time evolution resource spectrum described semi-chemostat equation. semichemostat dynamics given \\[   \\label{eq:nb}   \\frac{\\partial N_R(w,t)}{\\partial t}   = r_R(w) \\Big[ c_R (w) - N_R(w,t) \\Big] - \\mu_R(w) N_R(w,t). \\] \\(r_R(w)\\) resource regeneration rate \\(c_R(w)\\) carrying capacity absence predation. parameters changed setResource(). default mizer assumes allometric forms \\[r_R(w)= r_R\\, w^{n-1}.\\] \\[c_R(w)=\\kappa\\, w^{-\\lambda}.\\] can retrieve getResourceRate() getResourceCapacity() respectively. also possible implement resource dynamics, described help page setResource(). mortality \\(\\mu_R(w)\\) due predation consumers described subsection Resource mortality. resource spectrum spans larger range sizes sizes resource spectrum spans larger range sizes sizes resource spectrum spans larger range sizes sizes discretized different vector weights resource spectrum represented vector NResource NResource[c] =\\(N_R(\\)w_full[c]\\()\\).","code":""},{"path":"https://sizespectrum.org/mizer/articles/model_description.html","id":"growth","dir":"Articles","previous_headings":"","what":"Growth","title":"The General Mizer Size-spectrum Model","text":"Consumers can grow consuming prey. next subsections build towards determining growth rate resulting predation. discuss model predator-prey encounter rate, resulting rate consumption, rate metabolic losses, partitioning remaining energy reproduction growth.","code":""},{"path":"https://sizespectrum.org/mizer/articles/model_description.html","id":"sec:pref","dir":"Articles","previous_headings":"Growth","what":"Predator-prey encounter rate","title":"The General Mizer Size-spectrum Model","text":"rate predator species \\(\\) weight \\(w\\) encounters food (mass per time) determined summing prey species resource spectrum integrating prey sizes \\(w_p\\), weighted selectivity factors: \\[   \\label{eq:1}   E_{}(w) = \\gamma_i(w) \\int \\left(\\sum_{j} \\theta_{ij} N_j(w_p) +    \\theta_{iR} N_R(w_p) \\right)   \\phi_i(w,w_p) w_p \\, dw_p. \\] calculated getEncounter(). overall prefactor \\(\\gamma_i(w)\\) sets predation power predator. interpreted search volume. set setSearchVolume(). default assumed scale allometrically \\(\\gamma_i(w) = \\gamma_i\\, w^q.\\) \\(\\theta\\) matrix sets interaction strength predators various prey species resource. changed setInteraction(). size selectivity encoded predation kernel \\(\\phi_i(w,w_p)\\). changed setPredKernel(). important simplification occurs predation kernel \\(\\phi_i(w,w_p)\\) depends size prey predator/prey size ratio \\(w_p/w\\), \\[\\phi_i(w, w_p)=\\tilde{\\phi}_i(w/w_p).\\] assumed default can overruled. default predation kernel truncated log-normal function \\[   \\label{eq:4}   \\tilde{\\phi}_i(x) = \\begin{cases}   \\exp \\left[ \\dfrac{-(\\ln(x / \\beta_i))^2}{2\\sigma_i^2} \\right]   &\\text{ }x\\\\left[0,\\beta_i\\exp(3\\sigma_i)\\right]\\\\   0&\\text{ otherwise,}   \\end{cases} \\] \\(\\beta_i\\) preferred predator-prey mass ratio \\(\\sigma_i\\) sets width predation kernel. integral expression encounter rate approximated Riemann sum weight brackets: \\[ {\\tt encounter}[,] = {\\tt search\\_vol}[,]\\sum_{k} \\left( n_{R}[k] + \\sum_{j} \\theta[,j] n[j,k] \\right)   \\phi_i\\left(w[],w[k]\\right) w[k]\\, dw[k]. \\] case predation kernel depends \\(w/w_p\\) , becomes convolution sum can evaluated efficiently via fast Fourier transform.","code":""},{"path":"https://sizespectrum.org/mizer/articles/model_description.html","id":"consumption","dir":"Articles","previous_headings":"Growth","what":"Consumption","title":"The General Mizer Size-spectrum Model","text":"encountered food consumed subject standard Holling functional response type II represent satiation. determines feeding level \\(f_i(w)\\), dimensionless number 0 (food) 1 (fully satiated) \\(1-f_i(w)\\) proportion encountered food consumed. feeding level given \\[   \\label{eq:f}   f_i(w) = \\frac{E_i(w)}{E_i(w) + h_i(w)}, \\] \\(h_i(w)\\) maximum consumption rate. changed setMaxIntakeRate(). default mizer assumes allometric form \\(h_i(w) = h_i\\, w^n.\\) feeding level calculated function getFeedingLevel(). rate food consumed \\[ (1-f_i(w))E_{}(w)=f_i(w)\\, h_i(w). \\] Furthermore proportion \\(\\alpha_i\\) consumed food absorbed.","code":""},{"path":"https://sizespectrum.org/mizer/articles/model_description.html","id":"metabolic-losses","dir":"Articles","previous_headings":"Growth","what":"Metabolic losses","title":"The General Mizer Size-spectrum Model","text":"absorbed food used fuel needs metabolism activity movement, rate \\({\\tt metab}_i(w)\\). default made standard metabolism, scaling exponent \\(p\\), loss due activity movement, scaling exponent \\(1\\): \\[{\\tt metab}_i(w) = k_{s.}\\,w^p + k_i\\,w.\\] See help page setMetabolicRate(). remaining rate, , available growth reproduction. rate energy becomes available growth reproduction \\[   \\label{eq:Er}   E_{r.}(w) = \\max(0, \\alpha_i f_i(w)\\, h_i(w) - {\\tt metab}_i(w)) \\] calculated getEReproAndGrowth() function.","code":""},{"path":"https://sizespectrum.org/mizer/articles/model_description.html","id":"sec:repro","dir":"Articles","previous_headings":"Growth","what":"Investment into reproduction","title":"The General Mizer Size-spectrum Model","text":"proportion \\(\\psi_i(w)\\) energy available growth reproduction used reproduction. proportion change zero weight \\(w_{m.}\\) maturation one maximum weight \\(w_{max.}\\), available energy used reproduction. function changed setReproduction(). Mizer provides default form function can however overrule.","code":""},{"path":"https://sizespectrum.org/mizer/articles/model_description.html","id":"growth-1","dir":"Articles","previous_headings":"Growth","what":"Growth","title":"The General Mizer Size-spectrum Model","text":"left metabolism reproduction taken account invested somatic growth. Thus growth rate \\[   \\label{eq:growth}   g_i(w) = E_{r.}(w)\\left(1-\\psi_i(w)\\right). \\] calculated getEGrowth() function. food supply cover requirements metabolism activity, growth reproduction stops, .e. negative growth. individual subjected starvation mortality, starvation mortality implemented core mizer provided mizerStarvation extension package.","code":""},{"path":"https://sizespectrum.org/mizer/articles/model_description.html","id":"mortality","dir":"Articles","previous_headings":"","what":"Mortality","title":"The General Mizer Size-spectrum Model","text":"mortality rate individual \\(\\mu_i(w)\\) three sources: predation mortality \\(\\mu_{p.}(w)\\), background mortality \\(\\mu_{ext.}(w)\\) fishing mortality \\(\\mu_{f.}(w)\\). Predation mortality calculated eaten translates corresponding predation mortalities ingested prey individuals. Recalling \\(1-f_j(w)\\) proportion food encountered predator species \\(j\\) weight \\(w\\) actually consumed, rate predators species \\(j\\) consume prey size \\(w_p\\) \\[   \\label{eq:pred_rated}   {\\tt pred\\_rate}_j(w_p) = \\int \\phi_j(w,w_p) (1-f_j(w))   \\gamma_j(w) N_j(w) \\, dw. \\] predation rate calculated function getPredRate(). integral approximated Riemann sum fish weight brackets. \\[ {\\tt pred\\_rate}[j,c] = \\sum_{}   {\\tt pred_kernel}[j,,c]\\,(1-{\\tt feeding_level}[j,])\\,   \\gamma[j,]\\,n[j,]\\,dw[]. \\] mortality rate due predation obtained \\[   \\label{eq:mup}   \\mu_{p.}(w_p) = \\sum_j {\\tt pred\\_rate}_j(w_p)\\, \\theta_{ji}. \\] predation mortality rate calculated function getPredMort(). External mortality \\(\\mu_{ext.}(w)\\) independent abundances changed setExtMort(). default mizer assumes external mortality species constant \\(z0_i\\) independent size. value \\(z0_i\\) either specified species parameter assumed depend allometrically maximum size: \\[z0_i = z0_{pre} w_{\\infty.}^{1-n}.\\]","code":""},{"path":"https://sizespectrum.org/mizer/articles/model_description.html","id":"fishing-mortality","dir":"Articles","previous_headings":"Mortality","what":"Fishing mortality","title":"The General Mizer Size-spectrum Model","text":"fishing parameters model set setFishing(), can find details set gears different selectivities capabilities different species. Fishing mortality \\(F_i(w)\\) calculated function getFMort().","code":""},{"path":"https://sizespectrum.org/mizer/articles/model_description.html","id":"total-mortality","dir":"Articles","previous_headings":"Mortality","what":"Total mortality","title":"The General Mizer Size-spectrum Model","text":"total mortality rate \\[\\mu_i(w)=\\mu_{p.}(w)+\\mu_{ext.}(w)+F_i(w)\\] calculated function getMort().","code":""},{"path":"https://sizespectrum.org/mizer/articles/model_description.html","id":"resource-mortality","dir":"Articles","previous_headings":"Mortality","what":"Resource Mortality","title":"The General Mizer Size-spectrum Model","text":"predation mortality rate resource given similar expression predation mortality fish: \\[   \\label{eq:mupp}   \\mu_{p}(w_p) = \\sum_j {\\tt pred\\_rate}_j(w_p)\\, \\theta_{jp}. \\] mortality resource currently implemented mizer. calculated function getResourceMort().","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/articles/model_description.html","id":"energy-invested-into-reproduction","dir":"Articles","previous_headings":"Reproduction","what":"Energy invested into reproduction","title":"The General Mizer Size-spectrum Model","text":"total rate investment reproduction (grams/year) found integrating contribution individuals species \\(\\), invests proportion \\(\\psi_i(w)\\) consumption. total rate energy investment can converted total rate egg production \\(R_{p.}\\) (numbers per year): \\[   \\label{eq:Rp}   R_{p.} = \\frac{\\epsilon_i}{2 w_{0.}} \\int N_i(w)  E_{r.}(w) \\psi_i(w) \\, dw, \\] total rate investment multiplied efficiency factor \\(\\epsilon_i\\) dividing egg weight \\(w_{0.}\\) convert energy number eggs. result multiplied factor \\(1/2\\) take account females reproduce. rate potential egg production calculated getRDI().","code":""},{"path":"https://sizespectrum.org/mizer/articles/model_description.html","id":"density-dependence-in-reproduction","dir":"Articles","previous_headings":"Reproduction","what":"Density-dependence in reproduction","title":"The General Mizer Size-spectrum Model","text":"Three important density-dependent mechanisms widely assumed fisheries models automatically captured mizer model lead emergent stock-recruitment relationship: High density spawners leads reduced food income spawners consequently reduced per-capita reproduction. High density larvae leads slower growth larvae due food competition, exposing larvae high mortality longer time, thereby decreasing survivorship recruitment size. High density fish leads predation eggs fish larvae fish species cannibalism. However sources density dependence explicitly modelled mechanistically mizer. example limited carrying capacity suitable spawning grounds spatial effects. requires additional phenomenological density dependent contributions stock-recruitment. mizer type density dependence modelled constraints egg production survival. default functional form density dependence represented reproduction rate \\(R_i\\) (numbers per time) approaches maximum energy invested reproduction increases, modelled mathematically analogous Beverton-Holt type function: \\[   \\label{eq:R}   R_i = R_{\\max.} \\frac{R_{p.}}{R_{p.} + R_{\\max.}}, \\] \\(R_{\\max.}\\) maximum reproduction rate trait class. final rate reproduction calculated getRDD(). default Beverton-Holt type implemented BervertonHoldRDD() mizer also provides alternatives RickerRDD(), SheperdRDD(), constantRDD() noRDD(). Also, users able write functions, e.g. hockey-stick. See setReproduction() details.","code":""},{"path":"https://sizespectrum.org/mizer/articles/model_description.html","id":"abundance-at-egg-size","dir":"Articles","previous_headings":"Reproduction","what":"Abundance at egg size","title":"The General Mizer Size-spectrum Model","text":"reproduction rate \\(R_i\\) determines abundance density species \\(\\) egg size. Intuitively, rate individuals size \\(w_0\\) produced must equal rate grow away size \\(w_0\\), gives \\[N_i(w_{0.}) = \\frac{R_i}{g_i(w_{0.})}.\\]","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/articles/multispecies_model.html","id":"overview","dir":"Articles","previous_headings":"Setting up a multispecies model","what":"Overview","title":"The Multi Species Model","text":"MizerParams class used storing model parameters. already met MizerParams class looked community trait-based models. However, set multispecies model need specify many parameters.probably complicated part using mizer package, take slowly. MizerParams object stores : life-history parameters species community, maximum size \\(w_{max}\\); size-based biological parameters species, search volume; density-dependent reproduction functions parameters species; interaction matrix describe spatial overlap pairs species; parameters relating growth dynamics resource spectrum; fishing gear parameters: selectivity catchability. Note MizerParams class store parameters can vary time, fishing effort population abundance. stored MizerSim class come later section running simulation. Although MizerParams class contains lot information, relatively straightforward set use. Objects class MizerParams created using constructor method newMultispeciesParams() (constructor method called MizerParams() previous version mizer). constructor method can take many arguments. However, creation simplified many arguments default values. rest section look main arguments newMultispeciesParams() function. help understand constructor used MizerParams class relates equations given model description section, example section create example parameter objects using data comes mizer package.","code":""},{"path":"https://sizespectrum.org/mizer/articles/multispecies_model.html","id":"sec:species_parameters_dataframe","dir":"Articles","previous_headings":"Setting up a multispecies model","what":"The species parameters","title":"The Multi Species Model","text":"Although many arguments used creating MizerParams object optional, one argument must supplied user: species specific parameters. stored single data.frame object. data.frame arranged species parameter, column parameter row parameters one species model. Although possible create data.frame hand R, probably easier create data externally .csv file (perhaps using suitable open source spreadsheet LibreOffice) read data R. species model community certain parameters essential default values. user must provide values parameters. also essential parameters default values, selectivity function parameters, calculated internally using default relationships explicitly provided. defaults used parameters found data.frame. essential columns species parameters data.frame default values : species, names species community w_max, maximum mass species.","code":""},{"path":"https://sizespectrum.org/mizer/articles/multispecies_model.html","id":"sec:fishing_gear","dir":"Articles","previous_headings":"Setting up a multispecies model","what":"The gear parameters","title":"The Multi Species Model","text":"mizer, fishing mortality imposed species fishing gears. total fishing mortality obtained summing mortality gears, \\[\\begin{equation} %     {#eq:muf}     \\mu_{f.}(w) = \\sum_g F_{g,}(w), \\end{equation}\\] fishing mortality \\(F_{g,}(w)\\) imposed gear \\(g\\) species \\(\\) size \\(w\\) calculated : \\[\\begin{equation} %     {#eq:sel}     F_{g,}(w) = S_{g,}(w) Q_{g,} E_{g} \\end{equation}\\] \\(S\\) selectivity species, gear size, \\(Q\\) catchability species gear \\(E\\) fishing effort gear. selectivity size range 0 (selected size) 1 (fully selected size). Catchability used additional scalar make link gear selectivity, fishing effort fishing mortality. example, can set effort 1 gives desired fishing mortality. way effort can specified relative ‘base effort’, e.g. effort particular year. Selectivity catchability stored arrays MizerParams object. However user create arrays hand provide data frame necessary information. particular selectivity can calculate specifying functions selectivity curves. Mizer provides range selectivity functions user just needs specify parameters gear species gear_params data frame. details can found help page setFishing(). Fishing effort stored MizerParams object. Instead, effort set simulation run can vary time (see section running simulation).","code":""},{"path":"https://sizespectrum.org/mizer/articles/multispecies_model.html","id":"sec:params_example","dir":"Articles","previous_headings":"Setting up a multispecies model","what":"Example of making MizerParams objects","title":"The Multi Species Model","text":"mentioned preceding sections, object MizerParams created using newMultispeciesParams() constructor method. first step prepare species specific parameter data.frame. mentioned , one way use spreadsheet save .csv file. use approach . example .csv file included package. contains species parameters multispecies North Sea model. location file can found running file can opened spreadsheets text editor inspect. can loaded R reads .csv file R form data.frame. can check class: Let’s look data frame: can see \\(12\\) species \\(7\\) columns parameters: species, w_max,w_mat,beta,sigma,R_max k_vb. parameters, species w_max essential default values (described section species parameters). w_max maximum size species, w_mat maturity size, beta sigma parameters predation kernel (default mizer uses log-normal predation kernel). R_max parameter introducing additional density dependence reproduction parameter using Beverton-Holt type function (see setReproduction() details). final column, k_vb, used calculate values h gamma. column essential h gamma included data.frame. also possible include h gamma columns data.frame include k_vb column. values non-essential species specific parameters, like example alpha, k, ks, z0, w_min erepro, included data.frame. means default values automatically used create MizerParams object. example set gear parameters. columns describing fishing selectivity. sel_func column determine selectivity function. means default selectivity function, knife_edge, used. mentioned section fishing gears, function also needs another argument, knife_edge_size. present data.frame set default value w_mat. Also, catchability column default value catchability 1 used gears species. create MizerParams object pass species parameter data.frame newMultispeciesParams() constructor method: just created MizerParams object: MizerParams object also stores copy species parameter data frame provided. can look species_params(): can see returns original species data.frame (w_max ), plus default values may included original data.frame. example, can see now columns alpha h gamma etc. Also note default fishing gears set . Even though provide gear parameter data frame, MizerParams object one can access species caught gear called “knife_edge_gear”. selectivity function fishing gear set sel_func column default function, knife_edge(). catchability column added default value 1 species gear catches. example setting catchability hand can seen section North Sea. summary() method MizerParams objects prints useful summary model parameters: well giving summary species model gear fishing species, gives summary size structure community. example \\(100\\) size classes community, ranging \\(0.001\\) \\(4\\times 10^{4}\\) . values controlled arguments no_w, min_w max_w respectively. example, wanted 200 size classes model use:","code":"params_location <- system.file(\"extdata\", \"NS_species_params.csv\",                                package = \"mizer\") species_params <- read.csv(params_location) class(species_params) ## [1] \"data.frame\" species_params ##    species w_inf w_mat   beta sigma    R_max  k_vb ## 1    Sprat    33    13  51076   0.8 7.38e+11 0.681 ## 2  Sandeel    36     4 398849   1.9 4.10e+11 1.000 ## 3   N.pout   100    23     22   1.5 1.05e+13 0.849 ## 4  Herring   334    99 280540   3.2 1.11e+12 0.606 ## 5      Dab   324    21    191   1.9 1.12e+10 0.536 ## 6  Whiting  1192    75     22   1.5 5.48e+11 0.323 ## 7     Sole   866    78    381   1.9 3.87e+10 0.284 ## 8  Gurnard   668    39    283   1.8 1.65e+12 0.266 ## 9   Plaice  2976   105    113   1.6 4.08e+14 0.122 ## 10 Haddock  3485   165    558   2.1 1.84e+12 0.271 ## 11     Cod 40044  1606     66   1.3 8.26e+09 0.216 ## 12  Saithe 16856  1076     40   1.1 1.12e+11 0.175 params <- newMultispeciesParams(species_params) ## Warning in validGivenSpeciesParams(species_params): The species parameter data ## frame is missing a `w_max` column. I am copying over the values from the ## `w_inf` column. But note that `w_max` should be the maximum size of the largest ## individual, not the asymptotic size of an average indivdidual. ## Warning in validGivenSpeciesParams(species_params): The species parameter data ## frame is missing a `w_max` column. I am copying over the values from the ## `w_inf` column. But note that `w_max` should be the maximum size of the largest ## individual, not the asymptotic size of an average indivdidual. ## Because you have n != p, the default value for `h` is not very good. ## Because the age at maturity is not known, I need to fall back to using ## von Bertalanffy parameters, where available, and this is not reliable. ## No ks column so calculating from critical feeding level. ## Using z0 = z0pre * w_max ^ z0exp for missing z0 values. ## Using f0, h, lambda, kappa and the predation kernel to calculate gamma. class(params) ## [1] \"MizerParams\" ## attr(,\"package\") ## [1] \"mizer\" species_params(params) ##         species w_inf w_mat   beta sigma    R_max  k_vb         n   p w_max ## Sprat     Sprat    33    13  51076   0.8 7.38e+11 0.681 0.6666667 0.7    33 ## Sandeel Sandeel    36     4 398849   1.9 4.10e+11 1.000 0.6666667 0.7    36 ## N.pout   N.pout   100    23     22   1.5 1.05e+13 0.849 0.6666667 0.7   100 ## Herring Herring   334    99 280540   3.2 1.11e+12 0.606 0.6666667 0.7   334 ## Dab         Dab   324    21    191   1.9 1.12e+10 0.536 0.6666667 0.7   324 ## Whiting Whiting  1192    75     22   1.5 5.48e+11 0.323 0.6666667 0.7  1192 ## Sole       Sole   866    78    381   1.9 3.87e+10 0.284 0.6666667 0.7   866 ## Gurnard Gurnard   668    39    283   1.8 1.65e+12 0.266 0.6666667 0.7   668 ## Plaice   Plaice  2976   105    113   1.6 4.08e+14 0.122 0.6666667 0.7  2976 ## Haddock Haddock  3485   165    558   2.1 1.84e+12 0.271 0.6666667 0.7  3485 ## Cod         Cod 40044  1606     66   1.3 8.26e+09 0.216 0.6666667 0.7 40044 ## Saithe   Saithe 16856  1076     40   1.1 1.12e+11 0.175 0.6666667 0.7 16856 ##         w_min w_repro_max alpha interaction_resource z_ext          d E_ext ## Sprat   0.001          33   0.6                    1     0 -0.3333333     0 ## Sandeel 0.001          36   0.6                    1     0 -0.3333333     0 ## N.pout  0.001         100   0.6                    1     0 -0.3333333     0 ## Herring 0.001         334   0.6                    1     0 -0.3333333     0 ## Dab     0.001         324   0.6                    1     0 -0.3333333     0 ## Whiting 0.001        1192   0.6                    1     0 -0.3333333     0 ## Sole    0.001         866   0.6                    1     0 -0.3333333     0 ## Gurnard 0.001         668   0.6                    1     0 -0.3333333     0 ## Plaice  0.001        2976   0.6                    1     0 -0.3333333     0 ## Haddock 0.001        3485   0.6                    1     0 -0.3333333     0 ## Cod     0.001       40044   0.6                    1     0 -0.3333333     0 ## Saithe  0.001       16856   0.6                    1     0 -0.3333333     0 ##         D_ext is_background pred_kernel_type        h k       ks         z0 ## Sprat       0         FALSE        lognormal 14.51026 0 1.598545 0.18705957 ## Sandeel     0         FALSE        lognormal 28.36951 0 3.250607 0.18171206 ## N.pout      0         FALSE        lognormal 30.69918 0 3.318311 0.12926608 ## Herring     0         FALSE        lognormal 31.20041 0 3.212332 0.08647736 ## Dab         0         FALSE        lognormal 34.68295 0 3.760307 0.08735805 ## Whiting     0         FALSE        lognormal 32.78322 0 3.406676 0.05658819 ## Sole        0         FALSE        lognormal 24.90951 0 2.585095 0.06294752 ## Gurnard     0         FALSE        lognormal 22.29126 0 2.367448 0.06863713 ## Plaice      0         FALSE        lognormal 17.71691 0 1.820523 0.04171321 ## Haddock     0         FALSE        lognormal 40.62144 0 4.111691 0.03957464 ## Cod         0         FALSE        lognormal 74.81794 0 7.019866 0.01753768 ## Saithe      0         FALSE        lognormal 43.50194 0 4.136466 0.02340093 ##                 q        gamma     w_mat25 m erepro ## Sprat   0.7166667 5.765885e-11   11.647460 1      1 ## Sandeel 0.7166667 4.267142e-11    3.583834 1      1 ## N.pout  0.7166667 9.749884e-11   20.607045 1      1 ## Herring 0.7166667 2.812559e-11   88.699888 1      1 ## Dab     0.7166667 7.663981e-11   18.815128 1      1 ## Whiting 0.7166667 1.041177e-10   67.196884 1      1 ## Sole    0.7166667 5.308445e-11   69.884760 1      1 ## Gurnard 0.7166667 5.091838e-11   34.942380 1      1 ## Plaice  0.7166667 4.774060e-11   94.075638 1      1 ## Haddock 0.7166667 7.679024e-11  147.833146 1      1 ## Cod     0.7166667 2.549664e-10 1438.909287 1      1 ## Saithe  0.7166667 1.797143e-10  964.051303 1      1 gear_params(params) ##                          species            gear   sel_func knife_edge_size ## Sprat, knife_edge_gear     Sprat knife_edge_gear knife_edge              13 ## Sandeel, knife_edge_gear Sandeel knife_edge_gear knife_edge               4 ## N.pout, knife_edge_gear   N.pout knife_edge_gear knife_edge              23 ## Herring, knife_edge_gear Herring knife_edge_gear knife_edge              99 ## Dab, knife_edge_gear         Dab knife_edge_gear knife_edge              21 ## Whiting, knife_edge_gear Whiting knife_edge_gear knife_edge              75 ## Sole, knife_edge_gear       Sole knife_edge_gear knife_edge              78 ## Gurnard, knife_edge_gear Gurnard knife_edge_gear knife_edge              39 ## Plaice, knife_edge_gear   Plaice knife_edge_gear knife_edge             105 ## Haddock, knife_edge_gear Haddock knife_edge_gear knife_edge             165 ## Cod, knife_edge_gear         Cod knife_edge_gear knife_edge            1606 ## Saithe, knife_edge_gear   Saithe knife_edge_gear knife_edge            1076 ##                          catchability ## Sprat, knife_edge_gear              1 ## Sandeel, knife_edge_gear            1 ## N.pout, knife_edge_gear             1 ## Herring, knife_edge_gear            1 ## Dab, knife_edge_gear                1 ## Whiting, knife_edge_gear            1 ## Sole, knife_edge_gear               1 ## Gurnard, knife_edge_gear            1 ## Plaice, knife_edge_gear             1 ## Haddock, knife_edge_gear            1 ## Cod, knife_edge_gear                1 ## Saithe, knife_edge_gear             1 summary(params) ## An object of class \"MizerParams\"  ## mizer version: 2.5.4.9125 ## Created: 2026-05-07 18:49:15 ## Modified: 2026-05-07 18:49:15 ## Consumer size spectrum: ##  minimum size:   0.001 ##  maximum size:   40044 ##  no. size bins:  100 ## Resource size spectrum: ##  minimum size:   8.6774e-13 ##  maximum size:   9.84582 ##  no. size bins:  171 (218 size bins in total) ## Species details: ##    species w_max w_mat w_min   beta sigma ## 1    Sprat    33    13 0.001  51076   0.8 ## 2  Sandeel    36     4 0.001 398849   1.9 ## 3   N.pout   100    23 0.001     22   1.5 ## 4  Herring   334    99 0.001 280540   3.2 ## 5      Dab   324    21 0.001    191   1.9 ## 6  Whiting  1192    75 0.001     22   1.5 ## 7     Sole   866    78 0.001    381   1.9 ## 8  Gurnard   668    39 0.001    283   1.8 ## 9   Plaice  2976   105 0.001    113   1.6 ## 10 Haddock  3485   165 0.001    558   2.1 ## 11     Cod 40044  1606 0.001     66   1.3 ## 12  Saithe 16856  1076 0.001     40   1.1 ##  ## Fishing gear details: ## Gear          Effort  Target species  ##  ---------------------------------- ## knife_edge_gear 0.00   Sprat, Sandeel, N.pout, Herring, Dab, Whiting, Sole, Gurnard, Plaice, Haddock, Cod, Saithe params200 <- newMultispeciesParams(species_params, no_w = 200) summary(params200)"},{"path":"https://sizespectrum.org/mizer/articles/multispecies_model.html","id":"setting-the-interaction-matrix","dir":"Articles","previous_headings":"Setting up a multispecies model","what":"Setting the interaction matrix","title":"The Multi Species Model","text":"far created MizerParams object passing species parameter data.frame argument. specify interaction matrix. interaction matrix describes interaction pair species model. can viewed proxy spatial interaction e.g. model predator-prey interaction size based. values interaction matrix used scale encountered food [getEncounter()] predation mortality rate [getPredMort()] (see section predator-prey encounter rate predation mortality). entries interaction matrix dimensionless numbers taking values 0 (species overlap therefore interact ) 1 (species overlap perfectly). default mizer sets values 1, implying species fully interact , .e. species spread homogeneously across model area. North Sea case model improved also including interaction matrix describes spatial overlap species. example interaction matrix North Sea included mizer .csv file. location file can found running: Take look spreadsheet want. mentioned , read file R can make use read.csv() function. However, time want first column .csv file row names. therefore use additional argument read.csv() function: row.names. can set interaction matrix existing MizerParams object params setInteraction() function: Alternatively, instead changing interaction matrix existing MizerParams object, created new object scratch interaction matrix passing newMultispeciesParams(): Note first argument must species parameters data.frame. remaining arguments can order named. using default values parameters. now need start running projections. get though, ’ll take quick look different fishing gears can set .","code":"getInteraction(params) ## Warning: `getInteraction()` was deprecated in mizer 2.4.0. ## ℹ Please use `interaction_matrix()` instead. ## This warning is displayed once per session. ## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was ## generated. ##          prey ## predator  Sprat Sandeel N.pout Herring Dab Whiting Sole Gurnard Plaice Haddock ##   Sprat       1       1      1       1   1       1    1       1      1       1 ##   Sandeel     1       1      1       1   1       1    1       1      1       1 ##   N.pout      1       1      1       1   1       1    1       1      1       1 ##   Herring     1       1      1       1   1       1    1       1      1       1 ##   Dab         1       1      1       1   1       1    1       1      1       1 ##   Whiting     1       1      1       1   1       1    1       1      1       1 ##   Sole        1       1      1       1   1       1    1       1      1       1 ##   Gurnard     1       1      1       1   1       1    1       1      1       1 ##   Plaice      1       1      1       1   1       1    1       1      1       1 ##   Haddock     1       1      1       1   1       1    1       1      1       1 ##   Cod         1       1      1       1   1       1    1       1      1       1 ##   Saithe      1       1      1       1   1       1    1       1      1       1 ##          prey ## predator  Cod Saithe ##   Sprat     1      1 ##   Sandeel   1      1 ##   N.pout    1      1 ##   Herring   1      1 ##   Dab       1      1 ##   Whiting   1      1 ##   Sole      1      1 ##   Gurnard   1      1 ##   Plaice    1      1 ##   Haddock   1      1 ##   Cod       1      1 ##   Saithe    1      1 inter_location <- system.file(\"extdata\", \"NS_interaction.csv\",                               package = \"mizer\") inter <- read.csv(inter_location, row.names = 1) inter ##              Sprat    Sandeel     N.pout    Herring        Dab    Whiting ## Sprat   0.72912919 0.03408440 0.06354517 0.27416982 0.36241552 0.26525924 ## Sandeel 0.03408440 0.68119882 0.04892432 0.05888214 0.09736663 0.07510011 ## N.pout  0.06354517 0.04892432 0.79660429 0.29755069 0.09088798 0.29989886 ## Herring 0.27416982 0.05888214 0.29755069 0.65890104 0.28963957 0.37373927 ## Dab     0.36241552 0.09736663 0.09088798 0.28963957 0.80817768 0.33389727 ## Whiting 0.26525924 0.07510011 0.29989886 0.37373927 0.33389727 0.70928230 ## Sole    0.29795558 0.06020860 0.01679020 0.20014139 0.38047464 0.19227455 ## Gurnard 0.17515576 0.05992649 0.30624141 0.27510627 0.22041200 0.37109904 ## Plaice  0.37065975 0.07801855 0.07855818 0.27791867 0.56492206 0.29503807 ## Haddock 0.08135547 0.09395730 0.54917554 0.34835469 0.13168065 0.39164787 ## Cod     0.33757969 0.09943453 0.32502256 0.40477930 0.41647801 0.44060879 ## Saithe  0.01681321 0.01609022 0.29498937 0.12620591 0.03138197 0.10228168 ##               Sole    Gurnard     Plaice    Haddock        Cod     Saithe ## Sprat   0.29795558 0.17515576 0.37065975 0.08135547 0.33757969 0.01681321 ## Sandeel 0.06020860 0.05992649 0.07801855 0.09395730 0.09943453 0.01609022 ## N.pout  0.01679020 0.30624141 0.07855818 0.54917554 0.32502256 0.29498937 ## Herring 0.20014139 0.27510627 0.27791867 0.34835469 0.40477930 0.12620591 ## Dab     0.38047464 0.22041200 0.56492206 0.13168065 0.41647801 0.03138197 ## Whiting 0.19227455 0.37109904 0.29503807 0.39164787 0.44060879 0.10228168 ## Sole    0.71558049 0.10677895 0.39137317 0.03447799 0.25761229 0.01242055 ## Gurnard 0.10677895 0.88010500 0.16492120 0.35735444 0.35183282 0.12351994 ## Plaice  0.39137317 0.16492120 0.71922391 0.11248513 0.35043671 0.03294939 ## Haddock 0.03447799 0.35735444 0.11248513 0.85830725 0.39577341 0.26167470 ## Cod     0.25761229 0.35183282 0.35043671 0.39577341 0.78654705 0.20894496 ## Saithe  0.01242055 0.12351994 0.03294939 0.26167470 0.20894496 0.66383553 params <- setInteraction(params, interaction = inter) params_new <- newMultispeciesParams(species_params, interaction = inter) ## Warning in validGivenSpeciesParams(species_params): The species parameter data ## frame is missing a `w_max` column. I am copying over the values from the ## `w_inf` column. But note that `w_max` should be the maximum size of the largest ## individual, not the asymptotic size of an average indivdidual. ## Warning in validGivenSpeciesParams(species_params): The species parameter data ## frame is missing a `w_max` column. I am copying over the values from the ## `w_inf` column. But note that `w_max` should be the maximum size of the largest ## individual, not the asymptotic size of an average indivdidual. ## Because you have n != p, the default value for `h` is not very good. ## Because the age at maturity is not known, I need to fall back to using ## von Bertalanffy parameters, where available, and this is not reliable. ## No ks column so calculating from critical feeding level. ## Using z0 = z0pre * w_max ^ z0exp for missing z0 values. ## Using f0, h, lambda, kappa and the predation kernel to calculate gamma."},{"path":"https://sizespectrum.org/mizer/articles/multispecies_model.html","id":"sec:setting_different_gears","dir":"Articles","previous_headings":"Setting up a multispecies model","what":"Setting different gears","title":"The Multi Species Model","text":"example, species caught gear (named “knife_edge_gear”). default gear information provided. , look example set four different gears: Industrial, Pelagic, Beam Otter trawl, catch different combinations species. can achieve changing gear column gear_params data frame. can see result calling summary() params object. example gear now catches multiple stocks. example, Industrial gear catches Sprat, Sandeel Norway Pout. want set gears like ? next section running multispecies model see project model time can specify fishing effort gear time. setting gears way can run different management scenarios changing efforts fishing gears rather individual species. also means simulation run can examine catches gear.","code":"gear_params(params) ##                          species            gear   sel_func knife_edge_size ## Sprat, knife_edge_gear     Sprat knife_edge_gear knife_edge              13 ## Sandeel, knife_edge_gear Sandeel knife_edge_gear knife_edge               4 ## N.pout, knife_edge_gear   N.pout knife_edge_gear knife_edge              23 ## Herring, knife_edge_gear Herring knife_edge_gear knife_edge              99 ## Dab, knife_edge_gear         Dab knife_edge_gear knife_edge              21 ## Whiting, knife_edge_gear Whiting knife_edge_gear knife_edge              75 ## Sole, knife_edge_gear       Sole knife_edge_gear knife_edge              78 ## Gurnard, knife_edge_gear Gurnard knife_edge_gear knife_edge              39 ## Plaice, knife_edge_gear   Plaice knife_edge_gear knife_edge             105 ## Haddock, knife_edge_gear Haddock knife_edge_gear knife_edge             165 ## Cod, knife_edge_gear         Cod knife_edge_gear knife_edge            1606 ## Saithe, knife_edge_gear   Saithe knife_edge_gear knife_edge            1076 ##                          catchability ## Sprat, knife_edge_gear              1 ## Sandeel, knife_edge_gear            1 ## N.pout, knife_edge_gear             1 ## Herring, knife_edge_gear            1 ## Dab, knife_edge_gear                1 ## Whiting, knife_edge_gear            1 ## Sole, knife_edge_gear               1 ## Gurnard, knife_edge_gear            1 ## Plaice, knife_edge_gear             1 ## Haddock, knife_edge_gear            1 ## Cod, knife_edge_gear                1 ## Saithe, knife_edge_gear             1 gear_params(params)$gear <- c(\"Industrial\", \"Industrial\", \"Industrial\",                               \"Pelagic\", \"Beam\", \"Otter\",                               \"Beam\", \"Otter\", \"Beam\",                               \"Otter\", \"Otter\", \"Otter\") summary(params) ## An object of class \"MizerParams\"  ## mizer version: 2.5.4.9125 ## Created: 2026-05-07 18:49:15 ## Modified: 2026-05-07 18:49:16 ## Consumer size spectrum: ##  minimum size:   0.001 ##  maximum size:   40044 ##  no. size bins:  100 ## Resource size spectrum: ##  minimum size:   8.6774e-13 ##  maximum size:   9.84582 ##  no. size bins:  171 (218 size bins in total) ## Species details: ##    species w_max w_mat w_min   beta sigma ## 1    Sprat    33    13 0.001  51076   0.8 ## 2  Sandeel    36     4 0.001 398849   1.9 ## 3   N.pout   100    23 0.001     22   1.5 ## 4  Herring   334    99 0.001 280540   3.2 ## 5      Dab   324    21 0.001    191   1.9 ## 6  Whiting  1192    75 0.001     22   1.5 ## 7     Sole   866    78 0.001    381   1.9 ## 8  Gurnard   668    39 0.001    283   1.8 ## 9   Plaice  2976   105 0.001    113   1.6 ## 10 Haddock  3485   165 0.001    558   2.1 ## 11     Cod 40044  1606 0.001     66   1.3 ## 12  Saithe 16856  1076 0.001     40   1.1 ##  ## Fishing gear details: ## Gear          Effort  Target species  ##  ---------------------------------- ## Industrial     0.00   Sprat, Sandeel, N.pout  ## Pelagic        0.00   Herring  ## Beam           0.00   Dab, Sole, Plaice  ## Otter          0.00   Whiting, Gurnard, Haddock, Cod, Saithe"},{"path":"https://sizespectrum.org/mizer/articles/multispecies_model.html","id":"setting-to-steady-state","dir":"Articles","previous_headings":"Setting up a multispecies model","what":"Setting to steady state","title":"The Multi Species Model","text":"MizerParams object properly set , may case one wishes put system steady state. Sometimes can done simply running model using project() reaches steady state. However, method guaranteed work, function called steady() reliable. function steady() must supplied MizerParams object. takes MizerParams object, looks initial system state, computes levels reproduction different species, hold fixed, evolves system steady state reached (precisely, amount population abundances change time-step small tolerance level). , reproductive efficiency species altered reproduction dynamics turned back (.e., stop holding recruitment levels fixed), values reproduction levels held system fixed realized. steady function sure converge, way re-tunes reproductive efficiency values may realistic, idea alter parameters system steady() arrive steady state sensible reproductive efficiency values. Now know create multispecies model shall discuss run multispecies model.","code":""},{"path":"https://sizespectrum.org/mizer/articles/numerical_details.html","id":"the-weight-grid","dir":"Articles","previous_headings":"","what":"The weight grid","title":"The Numerical Scheme used in Mizer","text":"model dynamics described partial differential equations (PDEs) species number densities \\(N_i(w)\\) resource number density \\(N_R(w)\\). depend individual weight \\(w\\). solve equations numerically, discretise weight axis. choose grid weights \\(w_1, w_2, \\ldots, w_K\\). grid logarithmically spaced, meaning ratio consecutive weights constant: \\[ w_{j+1} / w_j = 10^{\\Delta x} = \\text{const}. \\] logarithmic spacing chosen weights fish span many orders magnitude, milligrams megagrams. grid defines set bins. \\(j\\)-th bin interval \\([w_j, w_{j+1})\\). width \\(j\\)-th bin \\[ \\Delta w_j = w_{j+1} - w_j = w_j (10^{\\Delta x} - 1). \\] Note \\(\\Delta w_j\\) increases \\(w_j\\), appropriate logarithmic grid. number density \\(N_i(w)\\) approximated constant value \\(N_{,j}\\) within bin. Thus \\(N_{,j}\\) represents density start bin \\(w_j\\). number individuals \\(j\\)-th bin \\(N_{,j} \\Delta w_j\\).","code":""},{"path":"https://sizespectrum.org/mizer/articles/numerical_details.html","id":"the-transport-equation","dir":"Articles","previous_headings":"","what":"The Transport Equation","title":"The Numerical Scheme used in Mizer","text":"time evolution number density \\(N_i(w)\\) described McKendrick-von Foerster equation added diffusion term: \\[ \\frac{\\partial N_i}{\\partial t} + \\frac{\\partial}{\\partial w} \\left( g_i N_i - \\frac{1}{2}\\frac{\\partial(d_i N_i)}{\\partial w} \\right) = -\\mu_i N_i \\] \\(g_i(w)\\) somatic growth rate, \\(d_i(w)\\) diffusion coefficient \\(\\mu_i(w)\\) total mortality rate. discretise equation using finite volume scheme.","code":""},{"path":"https://sizespectrum.org/mizer/articles/numerical_details.html","id":"discretisation-of-the-fluxes","dir":"Articles","previous_headings":"The Transport Equation","what":"Discretisation of the Fluxes","title":"The Numerical Scheme used in Mizer","text":"term inside derivative respect \\(w\\) flux \\(J_i(w)\\): \\[ J_i(w) = g_i(w) N_i(w) - \\frac{1}{2}\\frac{\\partial(d_i(w) N_i(w))}{\\partial w} \\] consider \\(j\\)-th size bin \\([w_j, w_{j+1}]\\). Integrating conservation equation bin gives: \\[ \\Delta w_j \\frac{\\partial N_{,j}}{\\partial t} + J_i(w_{j+1}) - J_i(w_j) = -\\int_{w_j}^{w_{j+1}} \\mu_i(w) N_i(w) dw \\] Approximating integral dividing \\(\\Delta w_j\\): \\[ \\frac{N_{,j}^{t+1} - N_{,j}^t}{\\Delta t} + \\frac{J_{,j+1} - J_{,j}}{\\Delta w_j} = -\\mu_i(w_j) N_{,j}^{t+1} \\] \\(J_{,j}\\) represents flux boundary \\(w_j\\).","code":""},{"path":"https://sizespectrum.org/mizer/articles/numerical_details.html","id":"advective-flux","dir":"Articles","previous_headings":"The Transport Equation > Discretisation of the Fluxes","what":"Advective Flux","title":"The Numerical Scheme used in Mizer","text":"advective part flux \\(g_i N_i\\), use upwind approximation. Since fish grow smaller larger sizes (\\(g_i > 0\\)), flux boundary \\(w_j\\) determined density bin (\\(j-1\\)): \\[ J_{,j}^{adv} = g_i(w_{j-1}) N_{,j-1} \\] (Note: \\(j=j_{min}\\), boundary flux recruitment \\(R_{dd,}\\)).","code":""},{"path":"https://sizespectrum.org/mizer/articles/numerical_details.html","id":"diffusive-flux","dir":"Articles","previous_headings":"The Transport Equation > Discretisation of the Fluxes","what":"Diffusive Flux","title":"The Numerical Scheme used in Mizer","text":"diffusive part flux \\(-\\frac{1}{2}\\frac{\\partial(d_i N_i)}{\\partial w}\\), use central difference approximation boundary \\(w_j\\). approximate gradient using densities adjacent bins \\(j-1\\) \\(j\\): \\[ J_{,j}^{diff} \\approx -\\frac{1}{2} \\frac{(d_i N_i)_j - (d_i N_i)_{j-1}}{w_j - w_{j-1}} = -\\frac{1}{2} \\frac{d_i(w_j) N_{,j} - d_i(w_{j-1}) N_{,j-1}}{\\Delta w_{j-1}} \\] Note use \\(N_{,j}\\) (density bin \\(j\\)) \\(N_{,j-1}\\) (density bin \\(j-1\\)) estimate value interface \\(w_j\\). total flux boundary \\(w_j\\) : \\[ J_{,j} = g_i(w_{j-1}) N_{,j-1} - \\frac{1}{2} \\frac{d_i(w_j) N_{,j} - d_i(w_{j-1}) N_{,j-1}}{\\Delta w_{j-1}} \\] similarly boundary \\(w_{j+1}\\): \\[ J_{,j+1} = g_i(w_j) N_{,j} - \\frac{1}{2} \\frac{d_i(w_{j+1}) N_{,j+1} - d_i(w_j) N_{,j}}{\\Delta w_j} \\]","code":""},{"path":"https://sizespectrum.org/mizer/articles/numerical_details.html","id":"limitation-on-time-step","dir":"Articles","previous_headings":"The Transport Equation","what":"Limitation on Time Step","title":"The Numerical Scheme used in Mizer","text":"diffusion term, explicit time discretisation require small time step stability (\\(\\Delta t \\sim \\Delta w^2\\)). Therefore, use semi-implicit scheme densities \\(N_i\\) evaluated time \\(t+1\\), rates (\\(g_i, \\mu_i, d_i\\)) evaluated time \\(t\\).","code":""},{"path":"https://sizespectrum.org/mizer/articles/numerical_details.html","id":"discretised-equation","dir":"Articles","previous_headings":"The Transport Equation","what":"Discretised Equation","title":"The Numerical Scheme used in Mizer","text":"Substituting fluxes conservation equation: \\[ \\frac{N_{,j}^{t+1} - N_{,j}^t}{\\Delta t} + \\frac{1}{\\Delta w_j} \\left( J_{,j+1}^{t+1} - J_{,j}^{t+1} \\right) = -\\mu_i(w_j) N_{,j}^{t+1} \\] leads linear system form: \\[ A_{,j} N_{,j-1}^{t+1} + B_{,j} N_{,j}^{t+1} + C_{,j} N_{,j+1}^{t+1} = S_{,j} \\] \\(S_{,j} = N_{,j}^t\\). tridiagonal system species \\(\\), can solved efficiently (e.g., using Thomas algorithm). coefficients : \\[ \\begin{aligned} A_{,j} &= -\\frac{\\Delta t}{\\Delta w_j} \\left( g_i(w_{j-1}) + \\frac{1}{2} \\frac{d_i(w_{j-1})}{\\Delta w_{j-1}} \\right) \\\\ C_{,j} &= -\\frac{\\Delta t}{\\Delta w_j} \\left( \\frac{1}{2} \\frac{d_i(w_{j+1})}{\\Delta w_j} \\right) \\\\ B_{,j} &= 1 + \\Delta t \\mu_i(w_j) + \\frac{\\Delta t}{\\Delta w_j} \\left( g_i(w_j) + \\frac{1}{2} \\frac{d_i(w_j)}{\\Delta w_j} + \\frac{1}{2} \\frac{d_i(w_j)}{\\Delta w_{j-1}} \\right) \\end{aligned} \\]","code":""},{"path":"https://sizespectrum.org/mizer/articles/numerical_details.html","id":"boundary-conditions","dir":"Articles","previous_headings":"The Transport Equation","what":"Boundary Conditions","title":"The Numerical Scheme used in Mizer","text":"smallest size (\\(j=j_{min}\\)): flux entering grid determined recruitment. \\[ J_{, j_{min}} = R_{dd, } \\] (assume diffusive flux lower boundary negligible incorporated \\(R_{dd}\\)). equation first bin becomes: \\[ \\frac{N_{,j_{min}}^{t+1} - N_{,j_{min}}^t}{\\Delta t} + \\frac{J_{, j_{min}+1}^{t+1} - R_{dd,}}{\\Delta w_{j_{min}}} = -\\mu_i(w_{j_{min}}) N_{,j_{min}}^{t+1} \\] involves \\(N_{, j_{min}}^{t+1}\\) \\(N_{, j_{min}+1}^{t+1}\\). Comparing general discretised equation translates modifying first row (\\(j=j_{min}\\)) tri-diagonal matrices: \\(j_{min}-1\\) term exist, \\(A_{,j_{min}} = 0\\). upward diffusion term boundary omitted, \\(B_{, j_{min}}\\) \\(\\frac{1}{2} \\frac{d_i(w_{j_{min}})}{\\Delta w_{j_{min}-1}}\\) component: \\[ B_{,j_{min}} = 1 + \\Delta t \\mu_i(w_{j_{min}}) + \\frac{\\Delta t}{\\Delta w_{j_{min}}} \\left( g_i(w_{j_{min}}) + \\frac{1}{2} \\frac{d_i(w_{j_{min}})}{\\Delta w_{j_{min}}} \\right) \\] coefficient \\(C_{, j_{min}}\\) remains unchanged general formula. recruitment flux enters source term, added right-hand side \\(S_{, j_{min}}\\): \\[ S_{,j_{min}} = N_{,j_{min}}^t + \\frac{\\Delta t}{\\Delta w_{j_{min}}} R_{dd, } \\] (Additionally, size classes recruitment size \\(j < j_{min}\\), set coefficients matrices \\(\\), \\(B\\), \\(C\\) vector \\(S\\) \\(0\\) avoid dynamics range). largest size (\\(j=j_{max}\\)): typically assume densities drop zero beyond maximum size, \\(N_{, j_{max}+1} = 0\\). flux leaving grid : \\[ J_{, j_{max}+1} = g_i(w_{j_{max}}) N_{, j_{max}} - \\frac{1}{2} \\frac{0 - d_i(w_{j_{max}}) N_{, j_{max}}}{\\Delta w_{j_{max}}} \\] means term \\(C_{, j_{max}}\\) multiplying \\(N_{, j_{max}+1}^{t+1}\\) needed, \\(C_{, j_{max}} = 0\\). coefficients \\(A_{, j_{max}}\\) \\(B_{, j_{max}}\\) use standard formulas.","code":""},{"path":"https://sizespectrum.org/mizer/articles/numerical_details.html","id":"numerical-diffusion","dir":"Articles","previous_headings":"The Transport Equation","what":"Numerical Diffusion","title":"The Numerical Scheme used in Mizer","text":"upwind scheme used advective term introduces numerical diffusion. well-known property first-order upwind schemes. can estimate magnitude diffusion expanding discretised term using Taylor series. discretised equation transport (advection , constant rates simplicity) : \\[ \\frac{N_j^{t+1} - N_j^t}{\\Delta t} + g \\frac{N_j^{t+1} - N_{j-1}^{t+1}}{\\Delta w} = 0 \\] Expanding \\(N(w, t)\\) around \\((w_j, t+\\Delta t)\\) leads following leading order error terms: \\[ \\frac{\\partial N}{\\partial t} + g \\frac{\\partial N}{\\partial w} = \\frac{g \\Delta w}{2} \\left( 1 + \\frac{g \\Delta t}{\\Delta w} \\right) \\frac{\\partial^2 N}{\\partial w^2} \\] coefficient second derivative represents numerical diffusivity: \\[ D_{num} = \\frac{g \\Delta w}{2} (1 + C) \\] \\(C = \\frac{g \\Delta t}{\\Delta w}\\) Courant-Friedrichs-Lewy (CFL) number. Comparing Mizer diffusion equation form (diffusion term \\(\\frac{\\partial}{\\partial w} ( \\frac{1}{2} \\frac{\\partial (D N)}{\\partial w} )\\)), effective diffusion parameter : \\[ d_{num}(w) \\approx g(w) \\Delta w (1 + C(w)) \\] Since \\(\\Delta w \\approx w \\ln(\\beta)\\), : \\[ d_{num}(w) \\approx g(w) w \\ln(\\beta) \\left( 1 + \\frac{g(w) \\Delta t}{w \\ln(\\beta)} \\right) = g(w) w \\ln(\\beta) + g(w)^2 \\Delta t \\] means numerical scheme behaves diffusion \\(d_{num}\\). numerical diffusion two components: one spatial discretisation (scaling \\(\\Delta w\\)) one time stepping (scaling \\(\\Delta t\\)).","code":""},{"path":"https://sizespectrum.org/mizer/articles/numerical_details.html","id":"steady-state-solution","dir":"Articles","previous_headings":"The Transport Equation","what":"Steady-State Solution","title":"The Numerical Scheme used in Mizer","text":"solving steady-state ODE instead time-dependent PDE, looking state population densities change time, meaning \\(N_{,j}^{t+1} = N_{,j}^t = N_{,j}^*\\). Substituting discretised linear system: \\[ A_{,j} N_{,j-1}^* + B_{,j} N_{,j}^* + C_{,j} N_{,j+1}^* = S_{,j} \\] Recall \\(j > j_{min}\\), \\(S_{,j} = N_{,j}^t\\). equation simplifies : \\[ A_{,j} N_{,j-1}^* + (B_{,j} - 1) N_{,j}^* + C_{,j} N_{,j+1}^* = 0 \\] find steady-state population densities \\(N^*\\), formulate new time-independent tridiagonal system: \\[ \\tilde{}_{,j} N_{,j-1}^* + \\tilde{B}_{,j} N_{,j}^* + \\tilde{C}_{,j} N_{,j+1}^* = \\tilde{S}_{,j} \\] eliminate explicit dependence time step \\(\\Delta t\\), can divide equation \\(\\Delta t\\). modified coefficients \\(\\tilde{}, \\tilde{B}, \\tilde{C}\\) defining new tri-diagonal system : \\[ \\begin{aligned} \\tilde{}_{,j} &= \\frac{A_{,j}}{\\Delta t} = -\\frac{1}{\\Delta w_j} \\left( g_i(w_{j-1}) + \\frac{1}{2} \\frac{d_i(w_{j-1})}{\\Delta w_{j-1}} \\right) \\\\ \\tilde{C}_{,j} &= \\frac{C_{,j}}{\\Delta t} = -\\frac{1}{\\Delta w_j} \\left( \\frac{1}{2} \\frac{d_i(w_{j+1})}{\\Delta w_j} \\right) \\\\ \\tilde{B}_{,j} &= \\frac{B_{,j} - 1}{\\Delta t} = \\mu_i(w_j) + \\frac{1}{\\Delta w_j} \\left( g_i(w_j) + \\frac{1}{2} \\frac{d_i(w_j)}{\\Delta w_j} + \\frac{1}{2} \\frac{d_i(w_j)}{\\Delta w_{j-1}} \\right) \\end{aligned} \\] Notice \\(\\tilde{}_{,j}\\) \\(\\tilde{C}_{,j}\\) exactly expressions \\(A_{,j}\\) \\(C_{,j}\\) evaluated \\(\\Delta t = 1\\). Similarly, \\(\\tilde{B}_{,j}\\) exactly expression \\(B_{,j} - 1\\) evaluated \\(\\Delta t = 1\\). Boundary conditions steady state: smallest size (\\(j=j_{min}\\)), original equation source term due recruitment: \\[ S_{, j_{min}} = N_{,j_{min}}^t + \\frac{\\Delta t}{\\Delta w_{j_{min}}} R_{dd, } \\] Following logic setting \\(N^{t+1} = N^t = N^*\\) dividing \\(\\Delta t\\), right-hand side vector \\(\\tilde{S}_{,j}\\) steady-state system becomes purely recruitment flux term. observe original term \\(\\frac{\\Delta t}{\\Delta w_{j_{min}}} R_{dd, }\\) evaluated \\(\\Delta t = 1\\), get new source vector: \\[ \\tilde{S}_{, j_{min}} = \\frac{R_{dd, }}{\\Delta w_{j_{min}}} \\] \\(j > j_{min}\\), \\(\\tilde{S}_{,j} = 0\\). boundary condition modifications edges grid remain conceptually: \\(\\tilde{}_{,j_{min}} = 0\\), upward diffusion term omitted \\(\\tilde{B}_{, j_{min}}\\), \\(\\tilde{C}_{, j_{max}} = 0\\). \\(j < j_{min}\\), matrix entries remain zero. code, means steady-state coefficients matrix multiplication (\\(\\tilde{}, \\tilde{B}, \\tilde{C}\\)) constant vector (\\(\\tilde{S}\\)) can calculated calling standard coefficient function simply setting \\(\\Delta t = 1\\), dropping \\(+1\\) \\(+N_{,j}^t\\) resulting \\(B\\) \\(S\\) variables respectively. modified matrices, steady-state densities can calculated directly solving linear system avoiding need iterate step step time.","code":""},{"path":"https://sizespectrum.org/mizer/articles/numerical_details.html","id":"resource-dynamics","dir":"Articles","previous_headings":"","what":"Resource Dynamics","title":"The Numerical Scheme used in Mizer","text":"resource spectrum \\(N_R(w)\\) also updated using similar Euler method, often different equation. example, semi-chemostat dynamics used: \\[ \\frac{\\partial N_R}{\\partial t} = r_R(c_R - N_R) - \\mu_R N_R. \\] discretised update : \\[ \\frac{N_{R,j}^{t+1} - N_{R,j}^t}{\\Delta t} = r_R(w_j) (c_R(w_j) - N_{R,j}^{t+1}) - \\mu_R(w_j) N_{R,j}^{t+1}. \\] Solving \\(N_{R,j}^{t+1}\\): \\[ N_{R,j}^{t+1} = \\frac{N_{R,j}^t + \\Delta t r_R(w_j) c_R(w_j)}{1 + \\Delta t (r_R(w_j) + \\mu_R(w_j))}. \\]","code":""},{"path":"https://sizespectrum.org/mizer/articles/numerical_details.html","id":"summary-of-the-algorithm","dir":"Articles","previous_headings":"","what":"Summary of the Algorithm","title":"The Numerical Scheme used in Mizer","text":"time step \\(\\Delta t\\), project() function performs following steps: Calculate Rates: Calculate biological rates (growth \\(g_i\\), mortality \\(\\mu_i\\), recruitment \\(R_{dd, }\\)) diffusion coefficients \\(d_i\\) based current population densities \\(N^t\\). Resource Update: Update resource density \\(N_R^{t+1}\\) using explicit rates implicit density. Combine recruitment flux \\(R_{dd, }\\) boundary conditions. Use tridiagonal solver (e.g., Thomas algorithm). Advance Time: \\(t \\leftarrow t + \\Delta t\\). split calculating rates explicitly solving densities implicitly makes scheme “semi-implicit”.","code":""},{"path":"https://sizespectrum.org/mizer/articles/plotting.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"Using ggplot2 and plotly with mizer","text":"tutorial use ggplot2 package theplotly package R visualise results mizer simulations. Mizer provides several functions calculating summaries mizer simulation results, see ?summary_functions. Many functions corresponding plotting functions, see ?plotting_functions. However easy produce customised plots directly using ggplot() plot_ly(). gives flexibility built-plotting functions. Also, occasionally want look different quantities perhaps built-plotting function. cases examples see provide useful blueprint. ggplot2 plotly works data frames, convenient way manipulate data frames dplyr package. create simple simulation use examples .","code":"library(mizer) library(ggplot2) library(plotly) library(dplyr) params <- newMultispeciesParams(NS_species_params) sim <- project(params, t_max = 10, t_save = 0.5, effort = 0)"},{"path":"https://sizespectrum.org/mizer/articles/plotting.html","id":"from-arrays-to-data-frames","dir":"Articles","previous_headings":"","what":"From arrays to data frames","title":"Using ggplot2 and plotly with mizer","text":"Mizer likes work arrays indexed species time size. example built-summary functions return arrays. arrays need converted data frames can conveniently plotted either ggplot() plot_ly. conversion achieved function melt(). example, function getBiomass() returns two-dimensional array (matrix) one dimension corresponding time second dimension species. array can converted melt() function data frame contains one row entry array.","code":"biomass <- getBiomass(sim) str(biomass) ##  'ArraySpeciesByTime' num [1:21, 1:12] 8.77e+07 2.52e+09 3.21e+09 7.50e+08 2.09e+08 ... ##  - attr(*, \"dimnames\")=List of 2 ##   ..$ time: chr [1:21] \"0\" \"0.5\" \"1\" \"1.5\" ... ##   ..$ sp  : chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... ##  - attr(*, \"value_name\")= chr \"Biomass\" ##  - attr(*, \"units\")= chr \"g\" ##  - attr(*, \"params\")=Formal class 'MizerParams' [package \"mizer\"] with 46 slots ##   .. ..@ metadata               : list() ##   .. ..@ mizer_version          :Classes 'package_version', 'numeric_version'  hidden list of 1 ##   .. .. ..$ : int [1:4] 2 5 4 9125 ##   .. ..@ extensions             : chr(0)  ##   .. ..@ time_created           : POSIXct[1:1], format: \"2026-05-07 18:49:22\" ##   .. ..@ time_modified          : POSIXct[1:1], format: \"2026-05-07 18:49:22\" ##   .. ..@ w                      : num [1:100] 0.001 0.00119 0.00142 0.0017 0.00203 ... ##   .. ..@ dw                     : num [1:100] 0.000193 0.000231 0.000275 0.000329 0.000392 ... ##   .. ..@ w_full                 : num [1:218] 8.73e-13 1.04e-12 1.24e-12 1.48e-12 1.77e-12 ... ##   .. ..@ dw_full                : num [1:218] 1.69e-13 2.01e-13 2.40e-13 2.87e-13 3.42e-13 ... ##   .. ..@ w_min_idx              : Named num [1:12] 1 1 1 1 1 1 1 1 1 1 ... ##   .. .. ..- attr(*, \"names\")= chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... ##   .. ..@ maturity               : num [1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ... ##   .. .. ..- attr(*, \"dimnames\")=List of 2 ##   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... ##   .. .. .. ..$ w : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... ##   .. ..@ psi                    : num [1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ... ##   .. .. ..- attr(*, \"dimnames\")=List of 2 ##   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... ##   .. .. .. ..$ w : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... ##   .. ..@ initial_n              : num [1:12, 1:100] 3.03e+09 2.77e+09 9.62e+08 2.77e+08 2.86e+08 ... ##   .. .. ..- attr(*, \"dimnames\")=List of 2 ##   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... ##   .. .. .. ..$ w : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... ##   .. ..@ intake_max             : num [1:12, 1:100] 0.145 0.284 0.307 0.312 0.347 ... ##   .. .. ..- attr(*, \"dimnames\")=List of 2 ##   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... ##   .. .. .. ..$ w : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... ##   .. ..@ search_vol             : num [1:12, 1:100] 4.08e-13 3.02e-13 6.90e-13 1.99e-13 5.43e-13 ... ##   .. .. ..- attr(*, \"dimnames\")=List of 2 ##   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... ##   .. .. .. ..$ w : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... ##   .. ..@ metab                  : num [1:12, 1:100] 0.0127 0.0258 0.0264 0.0255 0.0299 ... ##   .. .. ..- attr(*, \"dimnames\")=List of 2 ##   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... ##   .. .. .. ..$ w : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... ##   .. ..@ pred_kernel            : logi [1(1d)] NA ##   .. ..@ ft_pred_kernel_e       : cplx [1:12, 1:218] 11.3+0i 26.9+0i 20.8+0i ... ##   .. .. ..- attr(*, \"dimnames\")=List of 2 ##   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... ##   .. .. .. ..$ k : chr [1:218] \"1\" \"2\" \"3\" \"4\" ... ##   .. ..@ ft_pred_kernel_p       : cplx [1:12, 1:218] 11.3+0i 26.9+0i 20.8+0i ... ##   .. .. ..- attr(*, \"dimnames\")=List of 2 ##   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... ##   .. .. .. ..$ k : chr [1:218] \"1\" \"2\" \"3\" \"4\" ... ##   .. ..@ mu_b                   : num [1:12, 1:100] 0.1871 0.1817 0.1293 0.0865 0.0874 ... ##   .. .. ..- attr(*, \"dimnames\")=List of 2 ##   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... ##   .. .. .. ..$ w : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... ##   .. ..@ ext_encounter          : num [1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ... ##   .. .. ..- attr(*, \"dimnames\")=List of 2 ##   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... ##   .. .. .. ..$ w : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... ##   .. ..@ ext_diffusion          : num [1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ... ##   .. .. ..- attr(*, \"dimnames\")=List of 2 ##   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... ##   .. .. .. ..$ w : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... ##   .. ..@ rr_pp                  : Named num [1:218] 104642 98654 93009 87686 82669 ... ##   .. .. ..- attr(*, \"names\")= chr [1:218] \"8.73e-13\" \"1.04e-12\" \"1.24e-12\" \"1.48e-12\" ... ##   .. ..@ cc_pp                  : Named num [1:218] 5.26e+35 3.66e+35 2.55e+35 1.77e+35 1.23e+35 ... ##   .. .. ..- attr(*, \"names\")= chr [1:218] \"8.73e-13\" \"1.04e-12\" \"1.24e-12\" \"1.48e-12\" ... ##   .. ..@ resource_dynamics      : chr \"resource_semichemostat\" ##   .. ..@ resource_params        :List of 4 ##   .. .. ..$ kappa      : num 1e+11 ##   .. .. ..$ lambda     : num 2.05 ##   .. .. ..$ w_pp_cutoff: num 10 ##   .. .. ..$ n          : num 0.667 ##   .. ..@ other_dynamics         : list() ##   .. ..@ other_params           : list() ##   .. ..@ other_encounter        : list() ##   .. ..@ other_mort             : list() ##   .. ..@ rates_funcs            :List of 14 ##   .. .. ..$ Rates          : chr \"mizerRates\" ##   .. .. ..$ Encounter      : chr \"mizerEncounter\" ##   .. .. ..$ FeedingLevel   : chr \"mizerFeedingLevel\" ##   .. .. ..$ EReproAndGrowth: chr \"mizerEReproAndGrowth\" ##   .. .. ..$ PredRate       : chr \"mizerPredRate\" ##   .. .. ..$ PredMort       : chr \"mizerPredMort\" ##   .. .. ..$ FMort          : chr \"mizerFMort\" ##   .. .. ..$ Mort           : chr \"mizerMort\" ##   .. .. ..$ ERepro         : chr \"mizerERepro\" ##   .. .. ..$ EGrowth        : chr \"mizerEGrowth\" ##   .. .. ..$ Diffusion      : chr \"mizerDiffusion\" ##   .. .. ..$ ResourceMort   : chr \"mizerResourceMort\" ##   .. .. ..$ RDI            : chr \"mizerRDI\" ##   .. .. ..$ RDD            : chr \"BevertonHoltRDD\" ##   .. ..@ sc                     : num [1:100] 0.001 0.00119 0.00142 0.0017 0.00203 ... ##   .. ..@ initial_n_pp           : Named num [1:218] 5.26e+35 3.66e+35 2.55e+35 1.77e+35 1.23e+35 ... ##   .. .. ..- attr(*, \"names\")= chr [1:218] \"8.73e-13\" \"1.04e-12\" \"1.24e-12\" \"1.48e-12\" ... ##   .. ..@ initial_n_other        : list() ##   .. ..@ species_params         :'data.frame':   12 obs. of  29 variables: ##   .. .. ..$ species             : chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... ##   .. .. ..$ w_max               : num [1:12] 33 36 100 334 324 ... ##   .. .. ..$ w_mat               : int [1:12] 13 4 23 99 21 75 78 39 105 165 ... ##   .. .. ..$ beta                : int [1:12] 51076 398849 22 280540 191 22 381 283 113 558 ... ##   .. .. ..$ sigma               : num [1:12] 0.8 1.9 1.5 3.2 1.9 1.5 1.9 1.8 1.6 2.1 ... ##   .. .. ..$ k_vb                : num [1:12] 0.681 1 0.849 0.606 0.536 0.323 0.284 0.266 0.122 0.271 ... ##   .. .. ..$ R_max               : num [1:12] 7.38e+11 4.10e+11 1.05e+13 1.11e+12 1.12e+10 ... ##   .. .. ..$ w_inf               : num [1:12] 33 36 100 334 324 ... ##   .. .. ..$ n                   : num [1:12] 0.667 0.667 0.667 0.667 0.667 ... ##   .. .. ..$ p                   : num [1:12] 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 ... ##   .. .. ..$ w_min               : num [1:12] 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 ... ##   .. .. ..$ w_repro_max         : num [1:12] 33 36 100 334 324 ... ##   .. .. ..$ alpha               : num [1:12] 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 ... ##   .. .. ..$ interaction_resource: num [1:12] 1 1 1 1 1 1 1 1 1 1 ... ##   .. .. ..$ z_ext               : num [1:12] 0 0 0 0 0 0 0 0 0 0 ... ##   .. .. ..$ d                   : num [1:12] -0.333 -0.333 -0.333 -0.333 -0.333 ... ##   .. .. ..$ E_ext               : num [1:12] 0 0 0 0 0 0 0 0 0 0 ... ##   .. .. ..$ D_ext               : num [1:12] 0 0 0 0 0 0 0 0 0 0 ... ##   .. .. ..$ is_background       : logi [1:12] FALSE FALSE FALSE FALSE FALSE FALSE ... ##   .. .. ..$ pred_kernel_type    : chr [1:12] \"lognormal\" \"lognormal\" \"lognormal\" \"lognormal\" ... ##   .. .. ..$ h                   : num [1:12] 14.5 28.4 30.7 31.2 34.7 ... ##   .. .. ..$ k                   : num [1:12] 0 0 0 0 0 0 0 0 0 0 ... ##   .. .. ..$ ks                  : num [1:12] 1.6 3.25 3.32 3.21 3.76 ... ##   .. .. ..$ z0                  : num [1:12] 0.1871 0.1817 0.1293 0.0865 0.0874 ... ##   .. .. ..$ q                   : num [1:12] 0.717 0.717 0.717 0.717 0.717 ... ##   .. .. ..$ gamma               : num [1:12] 5.77e-11 4.27e-11 9.75e-11 2.81e-11 7.66e-11 ... ##   .. .. ..$ w_mat25             : num [1:12] 11.65 3.58 20.61 88.7 18.82 ... ##   .. .. ..$ m                   : num [1:12] 1 1 1 1 1 1 1 1 1 1 ... ##   .. .. ..$ erepro              : num [1:12] 1 1 1 1 1 1 1 1 1 1 ... ##   .. ..@ given_species_params   :'data.frame':   12 obs. of  10 variables: ##   .. .. ..$ species: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... ##   .. .. ..$ w_max  : num [1:12] 33 36 100 334 324 ... ##   .. .. ..$ w_mat  : int [1:12] 13 4 23 99 21 75 78 39 105 165 ... ##   .. .. ..$ beta   : int [1:12] 51076 398849 22 280540 191 22 381 283 113 558 ... ##   .. .. ..$ sigma  : num [1:12] 0.8 1.9 1.5 3.2 1.9 1.5 1.9 1.8 1.6 2.1 ... ##   .. .. ..$ k_vb   : num [1:12] 0.681 1 0.849 0.606 0.536 0.323 0.284 0.266 0.122 0.271 ... ##   .. .. ..$ R_max  : num [1:12] 7.38e+11 4.10e+11 1.05e+13 1.11e+12 1.12e+10 ... ##   .. .. ..$ w_inf  : num [1:12] 33 36 100 334 324 ... ##   .. .. ..$ n      : num [1:12] 0.667 0.667 0.667 0.667 0.667 ... ##   .. .. ..$ p      : num [1:12] 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 ... ##   .. ..@ interaction            : num [1:12, 1:12] 1 1 1 1 1 1 1 1 1 1 ... ##   .. .. ..- attr(*, \"dimnames\")=List of 2 ##   .. .. .. ..$ predator: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... ##   .. .. .. ..$ prey    : chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... ##   .. ..@ gear_params            :'data.frame':   12 obs. of  5 variables: ##   .. .. ..$ species        : chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... ##   .. .. ..$ gear           : chr [1:12] \"knife_edge_gear\" \"knife_edge_gear\" \"knife_edge_gear\" \"knife_edge_gear\" ... ##   .. .. ..$ sel_func       : chr [1:12] \"knife_edge\" \"knife_edge\" \"knife_edge\" \"knife_edge\" ... ##   .. .. ..$ knife_edge_size: int [1:12] 13 4 23 99 21 75 78 39 105 165 ... ##   .. .. ..$ catchability   : num [1:12] 1 1 1 1 1 1 1 1 1 1 ... ##   .. ..@ selectivity            : num [1, 1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ... ##   .. .. ..- attr(*, \"dimnames\")=List of 3 ##   .. .. .. ..$ gear: chr \"knife_edge_gear\" ##   .. .. .. ..$ sp  : chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... ##   .. .. .. ..$ w   : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... ##   .. ..@ catchability           : num [1, 1:12] 1 1 1 1 1 1 1 1 1 1 ... ##   .. .. ..- attr(*, \"dimnames\")=List of 2 ##   .. .. .. ..$ gear: chr \"knife_edge_gear\" ##   .. .. .. ..$ sp  : chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... ##   .. ..@ initial_effort         : Named num 0 ##   .. .. ..- attr(*, \"names\")= chr \"knife_edge_gear\" ##   .. ..@ A                      : num [1:12] NA NA NA NA NA NA NA NA NA NA ... ##   .. ..@ linecolour             : Named chr [1:17] \"#815f00\" \"#6237e2\" \"#8da600\" \"#de53ff\" ... ##   .. .. ..- attr(*, \"names\")= chr [1:17] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... ##   .. ..@ linetype               : Named chr [1:17] \"solid\" \"solid\" \"solid\" \"solid\" ... ##   .. .. ..- attr(*, \"names\")= chr [1:17] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... ##   .. ..@ ft_mask                : logi [1:12, 1:218] TRUE TRUE TRUE TRUE TRUE TRUE ... ##   .. ..@ use_predation_diffusion: logi FALSE biomass_frame <- melt(biomass) str(biomass_frame) ## 'data.frame':    252 obs. of  3 variables: ##  $ time : num  0 0.5 1 1.5 2 2.5 3 3.5 4 4.5 ... ##  $ sp   : Factor w/ 12 levels \"Sprat\",\"Sandeel\",..: 1 1 1 1 1 1 1 1 1 1 ... ##  $ value: num  8.77e+07 2.52e+09 3.21e+09 7.50e+08 2.09e+08 ..."},{"path":"https://sizespectrum.org/mizer/articles/plotting.html","id":"ggplot2-or-plotly","dir":"Articles","previous_headings":"","what":"ggplot2 or plotly","title":"Using ggplot2 and plotly with mizer","text":"form information can handed plot_ly() converted line plot: specified time plotted along x axis, value along y axis different species represented colours lines. Note American spelling “color” required plotly. Alternatively can thing ggplot():  Notice different syntax ggplot2 plotly packages. underlying ideas similar: implementations grammar graphics. recommend learning ggplot2 first, switching plotly clear advantages (particular animations, see ). main advantage plotly, namely interactivity resulting figures, can obtained also ggplot syntax running result ggplot() function ggplotly(): always plot first give ggplot code plotly code.","code":"pp <- plot_ly(biomass_frame) %>%      add_lines(x = ~time, y = ~value, color = ~sp) pp pg <- ggplot(biomass_frame) +     geom_line(aes(x = time, y = value, colour = sp)) pg ggplotly(pg)"},{"path":"https://sizespectrum.org/mizer/articles/plotting.html","id":"adding-labels","dir":"Articles","previous_headings":"","what":"Adding labels","title":"Using ggplot2 and plotly with mizer","text":"may want add labels figure axes. ggplot done labs().  plotly use layout() function.","code":"pg + labs(title = \"Biomass plot\",           x = \"Time [years]\",           y = \"Biomass [g]\") pp %>% layout(     title = \"Biomass plot\",     xaxis = list(         title = \"Time [years]\"     ),     yaxis = list(         title = \"Biomass [g]\"     ) )"},{"path":"https://sizespectrum.org/mizer/articles/plotting.html","id":"filtering-out-data","dir":"Articles","previous_headings":"","what":"Filtering out data","title":"Using ggplot2 and plotly with mizer","text":"can use filter function filter data. example select data specific species: Now plot reduced data frame get  first converted array data frame melt() selected data interest filter(). alternatively first selected desired entries array created data frame melt() resulting smaller array:  result looks almost identical, except colours associated species changed.","code":"two_species_biomass <- filter(biomass_frame, sp %in% c(\"Gurnard\", \"Herring\")) ggplot(two_species_biomass) +     geom_line(aes(x = time, y = value, color = sp)) nfr <- melt(getBiomass(sim)[, c(\"Gurnard\", \"Herring\")]) ggplot(nfr) +     geom_line(aes(x = time, y = value, color = sp))"},{"path":"https://sizespectrum.org/mizer/articles/plotting.html","id":"specifying-line-colours","dir":"Articles","previous_headings":"","what":"Specifying line colours","title":"Using ggplot2 and plotly with mizer","text":"want make sure species always colour, can use colours specified MizerParams object use colours ggplot add scale_colour_manual():  plotly add colors = getColours(params)r add_lines() command: note American spelling “colors” required plotly.","code":"getColours(params) ##      Sprat    Sandeel     N.pout    Herring        Dab    Whiting       Sole  ##  \"#815f00\"  \"#6237e2\"  \"#8da600\"  \"#de53ff\"  \"#0e4300\"  \"#430079\"  \"#6caa72\"  ##    Gurnard     Plaice    Haddock        Cod     Saithe   Resource      Total  ##  \"#ee0053\"  \"#007957\"  \"#b42979\"  \"#142300\"  \"#a08dfb\"    \"green\"    \"black\"  ## Background    Fishing   External  ##     \"grey\"      \"red\"     \"grey\" ggplot(biomass_frame) +     geom_line(aes(x = time, y = value, color = sp)) +      scale_colour_manual(values = getColours(params)) plot_ly(biomass_frame) %>%      add_lines(x = ~time, y = ~value, color = ~sp,               colors = getColours(params))"},{"path":"https://sizespectrum.org/mizer/articles/plotting.html","id":"plotting-rate-functions","dir":"Articles","previous_headings":"","what":"Plotting rate functions","title":"Using ggplot2 and plotly with mizer","text":"Functions getEncounter(), getFeedingLevel(), getMort(), getEGrowth() others return ArraySpeciesBySize object — species × size matrix carries human-readable name units. objects plot() method produces ggplot directly, melt() step needed:  params argument optional recommended: supplies species colours, linetypes, size ranges stored MizerParams object, restricts species’ curve natural size range (w_min w_max). can select subset species species argument:  result ordinary ggplot object can add layers themes usual way:  need data frame instead — example pass plot_ly() combine data — use .data.frame(): gives long-format data frame columns w, value, Species, can handed directly ggplot() plot_ly():","code":"fl <- getFeedingLevel(params) plot(fl) plot(fl, species = c(\"Cod\", \"Herring\", \"Sprat\")) plot(fl) +     geom_hline(yintercept = 0.6, linetype = \"dashed\", colour = \"grey50\") +     labs(title = \"Feeding level at steady state\") fl_df <- as.data.frame(fl) str(fl_df) ## 'data.frame':    1200 obs. of  3 variables: ##  $ w      : num  0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 ... ##  $ value  : num  0.6 0.6 0.6 0.598 0.6 ... ##  $ Species: chr  \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... ggplot(fl_df) +     geom_line(aes(x = w, y = value, colour = Species)) +     scale_colour_manual(values = getColours(params)) +     scale_x_log10() +     labs(y = \"Feeding level\")"},{"path":"https://sizespectrum.org/mizer/articles/plotting.html","id":"plotting-spectra","dir":"Articles","previous_headings":"","what":"Plotting spectra","title":"Using ggplot2 and plotly with mizer","text":"course mizer plotSpectra() function plotting size spectra. instructional create plots hand. can access abundance spectra species via N(sim). three-dimensional array (time x species x size). Let us first look abundance final time. drop = FALSE means result 3 dimensional array. use melt() function convert array data frame. created data frame 4 variables one observation 1200 entries 1 x 12 x rdim(final_n)[3] matrix final_n. first three variables take values dimension names array. course time variable observations, selected creating data frame. fourth variable called value value entry array, abundance density case. lot entries value 0, really interested , makes sense remove : leaves data frame 945 observations. can send data frame ggplot add line spectrum species, different colour , specify want x axis y axis logarithmic scale.  corresponding syntax plotly used pipe operator %>% feeds return value one function first argument next function.","code":"final_n <- N(sim)[idxFinalT(sim), , , drop = FALSE] str(final_n) ##  num [1, 1:12, 1:100] 1.92e+06 4.81e+12 1.15e+14 3.86e+12 1.12e+11 ... ##  - attr(*, \"dimnames\")=List of 3 ##   ..$ time: chr \"10\" ##   ..$ sp  : chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... ##   ..$ w   : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... nf <- melt(final_n) str(nf) ## 'data.frame':    1200 obs. of  4 variables: ##  $ time : int  10 10 10 10 10 10 10 10 10 10 ... ##  $ sp   : Factor w/ 12 levels \"Sprat\",\"Sandeel\",..: 1 2 3 4 5 6 7 8 9 10 ... ##  $ w    : num  0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 ... ##  $ value: num  1.92e+06 4.81e+12 1.15e+14 3.86e+12 1.12e+11 ... nf <- filter(nf, value > 0) pg <- ggplot(nf) +     geom_line(aes(x = w, y = value, color = sp)) +     scale_x_log10() +     scale_y_log10() pg p <- plot_ly(nf) %>%     add_lines(x = ~w, y = ~value, color = ~sp) %>%      layout(xaxis = list(type = \"log\", exponentformat = \"power\"),            yaxis = list(type = \"log\", exponentformat = \"power\")) p"},{"path":"https://sizespectrum.org/mizer/articles/plotting.html","id":"including-resource-spectrum","dir":"Articles","previous_headings":"","what":"Including resource spectrum","title":"Using ggplot2 and plotly with mizer","text":"can include additional lines plot merging several data frames. example, can include another line resource spectrum. first convert also resource abundance final time data frame filter zero values data frame contains three variables, sp column specifying species. add column value “Resource” Now new data frame columns data frame nf two can bound together Using extended data frame gives following plot:  course use data frame also plotly.","code":"nf_pp <- melt(NResource(sim)[idxFinalT(sim), , drop = FALSE]) %>%      filter(value > 0) nf_pp$sp <- \"Resource\" nf <- rbind(nf, nf_pp) p <- ggplot(nf) +     geom_line(aes(x = w, y = value, color = sp)) +      scale_colour_manual(values = getColours(params)) +     scale_x_log10() +     scale_y_log10() p"},{"path":"https://sizespectrum.org/mizer/articles/plotting.html","id":"limiting-the-axes","dir":"Articles","previous_headings":"","what":"Limiting the axes","title":"Using ggplot2 and plotly with mizer","text":"might want zoom part includes fish. three ways achieve . first use filter() filter rows data frame small w plot resulting data frame usual:  second method specify limits axes. ggplot done adding limits axis scales:  NA means existing limits kept. plotly specify range follows: Note plotly range specified giving logarithm base 10 limits.","code":"nf %>%     filter(w > 10^-4) %>%      ggplot() +     geom_line(aes(x = w, y = value, color = sp)) +      scale_colour_manual(values = getColours(params)) +     scale_x_log10() +     scale_y_log10() ggplot(nf) +     geom_line(aes(x = w, y = value, color = sp)) +      scale_colour_manual(values = getColours(params)) +     scale_x_log10(limits = c(10^-4, NA)) +     scale_y_log10(limits = c(NA, 10^20)) plot_ly(nf) %>%     add_lines(x = ~w, y = ~value, color = ~sp,               colours = getColours(params)) %>%      layout(xaxis = list(type = \"log\", exponentformat = \"power\",                         range = c(-4, 4)),            yaxis = list(type = \"log\", exponentformat = \"power\",                         range = c(-14, 20)))"},{"path":"https://sizespectrum.org/mizer/articles/plotting.html","id":"animating-spectra","dir":"Articles","previous_headings":"","what":"Animating spectra","title":"Using ggplot2 and plotly with mizer","text":"Instead picking specific time can ask plotly make animation showing changing spectra time. melt entire N(sim) array use time variable specify frames frame = ~time argument add_lines(): Note produces smooth animation spite fact saved abundances year. interpolation facilitated line = list(simplify = FALSE) argument. ggplot package provide similarly convenient way creating animations. gganimate package, nearly convenient.","code":"melt(N(sim)) %>%      filter(value > 0) %>%      plot_ly() %>%      add_lines(x = ~w, y = ~value,                color = ~sp, colors = getColours(params),               frame = ~time,               line = list(simplify = FALSE)) %>%      layout(xaxis = list(type = \"log\", exponentformat = \"power\"),            yaxis = list(type = \"log\", exponentformat = \"power\"))"},{"path":"https://sizespectrum.org/mizer/articles/plotting.html","id":"comparing-simulations","dir":"Articles","previous_headings":"","what":"Comparing simulations","title":"Using ggplot2 and plotly with mizer","text":"may also want make plots contrasting results two different simulations, example different fishing policies. illustrate create two simulations different fishing effort: Let us look plot fishing yield time. calculated getYield() function, returns array (time x species) can convert data frame Let’s look plot yield first simulation:  make plot less cluttered, keep 4 important species plot  simulation 2 plot looks like :  Comparison easier combine two plots. add extra variable data frames allow us distinguish merge together. ggplot can now use facet_grid() put plot value effort side--side:  can use linetype aesthetic represent different effort values different line types:  alternative use visual diff functionality diffviewer package. purpose need create two plots limits axes. can create visual comparison saving plots temporary files using diffviewer::visual_diff(): plotly less good faceting, can put arbitrary plots side--side (arrange grid) subplot() Note shareY = TRUE argument suplot() makes sure two plots use scale y axis, similarly shareX = TRUE. Also plotly can now tie effort variable line type. Arguably, ggplot2 nicer job case.","code":"sim1 <- project(params, t_max = 10, t_save = 0.2, effort = 2) sim2 <- project(params, t_max = 10, t_save = 0.2, effort = 4) yield1 <- melt(getYield(sim1)) yield2 <- melt(getYield(sim2)) ggplot(yield1) +     geom_line(aes(x = time, y = value, colour = sp)) yield1 <- filter(yield1, sp %in% c(\"Saithe\", \"Cod\", \"Haddock\", \"N.pout\")) yield2 <- filter(yield2, sp %in% c(\"Saithe\", \"Cod\", \"Haddock\", \"N.pout\")) p1 <- ggplot(yield1) +     geom_line(aes(x = time, y = value, colour = sp)) p1 p2 <- ggplot(yield2) +     geom_line(aes(x = time, y = value, colour = sp)) p2 yield1$effort <- as.factor(2) yield2$effort <- as.factor(4) yield <- rbind(yield1, yield2) ggplot(yield) +     geom_line(aes(x = time, y = value,                    colour = sp)) +     facet_grid(cols = vars(effort)) ggplot(yield) +     geom_line(aes(x = time, y = value,                    colour = sp,                   linetype = effort)) p1 <- ggplot(yield1) +     geom_line(aes(x = time, y = value, colour = sp)) +     ylim(0,1.75e12) p2 <- ggplot(yield2) +     geom_line(aes(x = time, y = value, colour = sp)) +     ylim(0,1.75e12) # Save plots to temporary files tmp1 <- tempfile(fileext = \".png\") tmp2 <- tempfile(fileext = \".png\") ggsave(tmp1, p1, width = 6, height = 4) ggsave(tmp2, p2, width = 6, height = 4)  # Create visual diff diffviewer::visual_diff(tmp1, tmp2) subplot(p1, p2, shareX = TRUE, shareY = TRUE) plot_ly(yield) %>%      add_lines(x = ~time, y = ~value,                color = ~sp, linetype = ~effort)"},{"path":"https://sizespectrum.org/mizer/articles/predation_diffusion.html","id":"sec-jump-growth","dir":"Articles","previous_headings":"","what":"The jump-growth equation","title":"Incorporating predation diffusion","text":"observed (Datta, Delius, Law 2010), variability prey size leads diffusion term PDE abundance density \\(N(w,t)\\). term neglected mizer past can now included. becomes important matching mizer abundances observed abundances, account fish larger average. PDE including diffusion term \\[ \\frac{\\partial N}{\\partial t} = \\frac12 \\frac{\\partial^2}{\\partial w^2}(d N) - \\frac{\\partial}{\\partial w}(g N)-\\mu N \\tag{1}\\] \\(g\\) growth rate, \\(\\mu\\) death rate \\(d\\) new diffusion rate. diffusion rate expression similar rate \\((w)\\) prey biomass assimilated thus available metabolism, growth reproduction. Recall rate given \\[ \\begin{split} (w)=&(1-f(w))\\,\\gamma(w)\\int N_c(w_p)\\,\\phi(w,w_p)\\,\\alpha\\, w_p\\,dw_p \\end{split} \\tag{2}\\] \\(N_c(w)\\) abundance density prey, \\(\\phi(w,w_p)\\) predation kernel, \\(\\gamma(w)\\) search volume, \\(f(w)\\) feeding level \\(\\alpha\\) assimilation efficiency. factor \\(\\alpha\\,w_p\\) integral Eq. 2 increase assimilated biomass resulting ingestion individual prey weight \\(w_p\\). expression diffusion rate \\(D(w)\\) factor squared: \\[ D(w) = (1-f(w))\\,\\gamma(w) \\int N_c(w_p)\\phi(w/w_p)(\\alpha\\,w_p)^2\\,dw_p. \\tag{3}\\] diffusion rate captures randomness size encountered prey. many sources stochasticity model explicitly mizer. added external diffusion ext_diffusion(). increase \\(\\alpha\\,w_p\\) predator mass typically small proportion predator mass preferred prey typically much smaller predator also \\(\\alpha\\) smaller \\(1\\). factor squared expression \\(D(w)\\) might expected term PDE involving \\(D(w)\\) can safely neglected. However worth testing intuition. now first determining diffusion rate model allometric encounter mortality rates. use determine effect slope juvenile spectrum. Finally look numerical solution steady state.","code":""},{"path":"https://sizespectrum.org/mizer/articles/predation_diffusion.html","id":"sec-diffusion-example","dir":"Articles","previous_headings":"","what":"Example calculation of diffusion rate","title":"Incorporating predation diffusion","text":"Let us assume prey abundance given power law: \\(N_c(w)=N_0w^{-\\lambda}\\) predation kernel \\[ \\phi(w/w_p) = \\exp\\left(-\\frac{\\log(w/w_p/\\beta)^2}{2\\sigma^2}\\right). \\tag{4}\\] hence integral expression Eq. 2 assimilation rate becomes \\[ \\begin{split} I_A&:=\\int N_c(w_p)\\phi(w/w_p)\\alpha\\,w_p\\,dw_p\\\\ &=\\alpha\\int w_p^{1-\\lambda}\\exp\\left(-\\frac{\\log(w/w_p/\\beta)^2}{2\\sigma^2}\\right)dw_p. \\end{split} \\tag{5}\\] integral can evaluated easily changing integration variable \\(x=\\log(w_p/w_0)\\)arbitrary reference weight \\(w_0\\) recognising resulting integral \\[ I_A=\\alpha\\, w_0^{2-\\lambda}\\int e^{(2-\\lambda)x}\\exp\\left(-\\frac{(x-\\log(w/w_0)+\\log(\\beta))^2}{2\\sigma^2}\\right)dx \\tag{6}\\] Gaussian integral. Using general result \\[ \\int e^{ax}\\exp\\left(-\\frac{(x-\\mu)^2}{2\\sigma^2}\\right)dx = \\sqrt{\\frac{2\\pi}{\\sigma^2}}\\exp\\left(\\mu+\\frac{^2\\sigma^2}{2}\\right) \\tag{7}\\] \\(= 2-\\lambda\\) \\(\\mu = \\log(w/w_0)-\\log(\\beta)\\) find \\[ \\begin{split} I_A&= \\alpha\\, w_0^{2-\\lambda}\\sqrt{\\frac{2\\pi}{\\sigma^2}}\\exp\\left((2-\\lambda)(\\log(w/w_0)-\\log(\\beta))+\\frac{(2-\\lambda)^2\\sigma^2}{2}\\right)\\\\ &=\\alpha w^{2-\\lambda}\\sqrt{\\frac{2\\pi}{\\sigma^2}}\\beta^{\\lambda - 2}\\exp\\left(\\frac{(2-\\lambda)^2\\sigma^2}{2}\\right) \\end{split} \\tag{8}\\] Assuming allometric search volume \\(\\gamma(w)=\\gamma w^q\\) exponent \\(q = n - 2 + \\lambda\\) obtain \\[ (w) = (1-f(w))\\,\\gamma  \\alpha \\sqrt{\\frac{2\\pi}{\\sigma^2}}\\beta^{\\lambda - 2}\\exp\\left(\\frac{(2-\\lambda)^2\\sigma^2}{2}\\right) w^{n}. \\tag{9}\\] can evaluate diffusion rate \\(D(w)\\) manner. extra factor \\(w_p\\) changes \\(\\) \\(2-\\lambda\\) \\(3-\\lambda\\) obtain \\[ D(w) = (1-f(w))\\gamma \\alpha^2 \\sqrt{\\frac{2\\pi}{\\sigma^2}}\\beta^{\\lambda - 3}\\exp\\left(\\frac{(3-\\lambda)^2\\sigma^2}{2}\\right) w^{n+1}. \\tag{10}\\] Comparing expression Eq. 9 \\((w)\\) find \\[ D(w) = (w)w\\frac{\\alpha}{\\beta}\\exp\\left(\\frac{(5-2\\lambda)\\sigma^2}{2}\\right). \\tag{11}\\] get feel typical magnitude factor let’s consider concrete values \\[ f=0.6, \\qquad\\alpha = 0.8, \\qquad\\beta = 10, \\qquad\\sigma = 2, \\qquad\\lambda = 2. \\tag{12}\\] \\[ D(w) \\approx 0.59 (w)w. \\tag{13}\\] However see value \\(D(w)/(w)\\) strongly influenced location width feeding kernel. decreases increasing \\(\\beta\\) decreasing \\(\\sigma\\) choose \\(\\beta = 100\\) \\(\\sigma = 1\\) \\(D(w)\\approx 0.01 (w)w\\). relative decrease diffusion rate increasing \\(\\beta\\) decreasing \\(\\sigma\\) may explains result (Datta et al. 2010) stability system depends parameters.","code":""},{"path":"https://sizespectrum.org/mizer/articles/predation_diffusion.html","id":"sec-diffusion-juvenile","dir":"Articles","previous_headings":"","what":"Effect on juvenile slope","title":"Incorporating predation diffusion","text":"section calculate effect diffusion slope juvenile spectrum steady state. can skip section interested details calculation. outcome change juvenile slope small. However, change size spectrum adults much larger, see ?@sec-diffusion-numerical. Without diffusion find juvenile spectrum solving steady-state equation \\[ \\frac{\\partial}{\\partial w}(g(w) N(w)) =-\\mu(w) N(w). \\tag{14}\\] solution \\[ N(w) = \\frac{g(w_0)}{g(w)}N(w_0)\\exp\\left(-\\int_{w_0}^w\\frac{\\mu(w')}{g(w')}dw'\\right). \\tag{15}\\] allometric growth death rates \\(g(w)=g_0w^n\\) \\(\\mu(w)=\\mu_0w^{n-1}\\) gives \\[ N(w)=\\left(\\frac{w}{w_0}\\right)^{-n} N(w_0)\\exp\\left(-\\frac{\\mu_0}{g_0}\\int_{w_0}^w\\frac{1}{w'}dw'\\right)=N(w_0)\\left(\\frac{w}{w_0}\\right)^{-\\mu_0/g_0-n}. \\tag{16}\\] Thus juvenile steady state abundance density given power law exponent \\(-\\mu_0/g_0-n\\). presence diffusion steady state equation becomes second-order ODE \\[ \\frac12 \\frac{\\partial^2}{\\partial w^2}(D N) - \\frac{\\partial}{\\partial w}(g N)-\\mu N=0. \\tag{17}\\] seen previous section \\(g(w)=g_0w^n\\) diffusion rate also power law one extra factor \\(w\\): \\(D(w)=D_0w^{n+1}\\). makes equation Eq. 17 scale invariant hence expect solution power law, make Ansatz \\(N(w)=N(w_0)(w/w_0)^\\) exponent \\(\\) determined. Substituting Ansatz Eq. 17 gives \\[ \\frac12 D_0N_0(n+1+)(n+)w^{n+-1} -g_0N_0(n+)w^{n+-1}-\\mu_0 N_0w^{n-1+} = 0 \\tag{18}\\] requires \\[ \\frac12 D_0 (n+)^2+\\left(\\frac12 D_0 -g_0\\right)(n+)-\\mu_0=0. \\tag{19}\\] quadratic equation \\(n+\\): \\[ \\frac12 D_0 (n+)^2+\\left(\\frac12 D_0 -g_0\\right)(n+)-\\mu_0=0. \\tag{20}\\] two solutions \\[ (n+a_\\pm) = \\frac1{D_0}\\left(g_0-D_0/2\\pm\\sqrt{(g_0-D_0/2)^2+2D_0\\mu_0}\\right) \\tag{21}\\] \\(a_+\\) solution + sign \\(a_-\\) solution - sign. interested solution goes \\(=-\\mu_0/g_0-n\\) \\(D_0\\0\\). means interested solution - sign. check indeed solution \\(a_{-}\\) satisfies \\(\\lim_{a_-\\0}= -\\mu_0/g_0-n\\) helpful expand square root term around \\(D_0=0\\): \\[ \\sqrt{(g_0-D_0/2)^2+2D_0\\mu_0}=g_0+\\frac{-g_0+2\\mu_0}{2g_0}D_0+\\frac{g_0^2-(-g_0+2\\mu_0)^2}{8g_0^3}D_0^2+\\dots \\tag{22}\\] find \\[ \\begin{split} &= -n+\\frac1{D_0}\\left(g_0-D_0/2-\\sqrt{(g_0-D_0/2)^2+2D_0\\mu_0}\\right)\\\\ &\\approx -n-\\frac{\\mu_0}{g_0} - \\frac18\\left(1-\\left(-1+2\\frac{\\mu_0}{g_0}\\right)^2\\right) D_0+\\dots\\\\ &=-n-\\frac{\\mu_0}{g_0} +\\frac12\\left(\\frac{\\mu_0}{g_0}\\left(1-\\frac{\\mu_0}{g_0}\\right)\\right)\\frac{D_0}{g_0}+\\dots \\end{split} \\tag{23}\\] see \\(\\mu_0=g_0\\) first correction term juvenile slope vanishes. largest increase slope (.e., least negative slope) achieved \\(\\mu_0/g_0=1/2\\). case slope without diffusion \\(-1.25\\) (assuming \\(n=0.75\\)). correction term \\(D_0/(8g_0)\\). already seen previous section \\(D_0/g_0\\) typically small, change slope also small. Using example value \\(D_0/g_0\\approx0.59\\) \\(n=0.75\\) get slope correction approximately \\(0.074\\) \\(-1.25\\) \\(-1.176\\). Using value \\(D_0/g_0\\approx0.01\\) get smaller slope correction approximately \\(0.002\\) \\(-1.25\\) \\(-1.248\\). \\(\\mu_0/g_0>1\\) diffusion correction negative, .e., juvenile slope becomes negative due diffusion, meaning fewer large fish.","code":""},{"path":"https://sizespectrum.org/mizer/articles/publications.html","id":"publications-describing-mizer","dir":"Articles","previous_headings":"","what":"Publications describing mizer","title":"Publications","text":"F. Scott, J.L. Blanchard K.H. Andersen: mizer: R package multispecies, trait-based community size spectrum ecological modelling. Methods Ecology Evolution 5(10) 1121-1125 (2014). Contains “official” announcement description mizer K.H. Andersen, N.S. Jacobsen K.D. Farnsworth (2016): theoretical foundations size spectrum models fish communities. Canadian Journal Fisheries Aquatic Science 73(4): 575-588. Describes theoretical background three types size spectrum models K.H. Andersen (2019): Fish Ecology, Evolution, Exploitation - New Theoretical Synthesis. Princeton University Press. depth theory","code":""},{"path":"https://sizespectrum.org/mizer/articles/publications.html","id":"publications-using-mizer","dir":"Articles","previous_headings":"","what":"Publications using mizer","title":"Publications","text":"Benoit, D. M., Giacomini, H. C., Chu, C. & Jackson, D. . Identifying influential parameters multi-species fish size spectrum model northern temperate lake sensitivity analyses. Ecological Modelling 460, 109740 (2021). Robinson, J. P. W. et al. Managing fisheries maximum nutrient yield. Fish Fisheries 23, 800–811 (2022). Canales, T. M., Delius, G. W. & Law, R. Regulation fish stocks without stock–recruitment relationships: case small pelagic fish. Fish Fisheries 21, 857–871 (2020). Wo, J. et al. Modeling Dynamics Multispecies Fisheries: Case Study Coastal Water North Yellow Sea, China. Front. Mar. Sci. 7, (2020). Lindmark, M. Temperature- body size scaling. Doctoral Thesis 2020:8, Faculty Natural Resources Agricultural Sciences, SLU. https://pub.epsilon.slu.se/16711/ (2020). Woodworth-Jefcoats, P. ., Blanchard, J. L. & Drazen, J. C. Relative Impacts Simultaneous Stressors Pelagic Marine Ecosystem. Frontiers Marine Science 6, 383 (2019). Spence, M. . et al. general framework combining ecosystem models. Fish Fisheries 19, 1031–1042 (2018). Zhang C, Chen Y, Xu B, Xue Y, Ren Y. Evaluating fishing effects stability fish communities using size-spectrum model. Fisheries Research. 2018 Jan 1;197:123-30. Szuwalski CS, Burgess MG, Costello C, Gaines SD (2017) High fishery catches trophic cascades China. Proc Natl Acad Sci USA 114:717–721. Application South-east China Sea N.S. Jacobsen, M. Burgess K.H. Andersen (2017): Efficiency fisheries increasing ecosystem level. Fish Fisheries 18(2) 199-211. doi:10.1111/faf.12171. Appendix describes simple calibration procedure Zhang, C., Chen, Y., & Ren, Y. (2016). evaluation implementing long-term MSY ecosystem-based fisheries management: Incorporating trophic interaction, bycatch uncertainty. Fisheries Research, 174, 179-189. Zhang C, Chen Y, Thompson K, Ren Y. Implementing multispecies size-spectrum model data-poor ecosystem. Acta Oceanologica Sinica. 2016 Apr 1;35(4):63. Zhang C, Chen Y, Ren Y. efficacy fisheries closure rebuilding depleted stocks: Lessons size-spectrum modeling. Ecological Modelling. 2016 Jul 24;332:59-66. Spence M., Blackwell, P. & Blanchard J.L. (2016) Parameter uncertainty dynamic multispecies size spectrum model. Canadian Journal Fisheries Aquatic Sciences. 10.1139/cjfas-2015-0022 (press) Bayesian parameter estimation uncertainty Datta, S. & Blanchard J.L. (2016) effects seasonal processes size spectrum dynamics. Canadian Journal Fisheries Aquatic Sciences. 10.1139/cjfas-2015-0468 Zhang, C., Chen, Y., & Ren, Y. (2015). Assessing uncertainty multispecies size-spectrum model resulting process observation errors. ICES Journal Marine Science: Journal du Conseil, 72(8), 2223-2233. Jennings, S. & Collingridge, K. Predicting Consumer Biomass, Size-Structure, Production, Catch Potential, Responses Fishing Associated Uncertainties World’s Marine Ecosystems. (2015) PLoS ONE 10(7), e0133794. J.L. Blanchard, K.H. Andersen, F. Scott, N.T. Hinzen, G. Piet, S. Jennings (2014): Evaluating targets trade-offs among fisheries conservation objectives using multispecies size spectrum model. J. Applied Ecology, 51: 612–622. doi:10.1111/1365-2664.12238. Application Mizer North Sea","code":""},{"path":"https://sizespectrum.org/mizer/articles/publications.html","id":"projects-that-have-usedare-using-mizer","dir":"Articles","previous_headings":"","what":"Projects that have used/are using mizer","title":"Publications","text":"MINOUW Project (http://minouw-project.eu/) European Commission Horizon 2020 Research Innovation Programme Grant Agreement . 634495 Rewiring marine food webs: predicting consequences species range shifts. Australian Research Council Discovery Project DP170104240 Mesopelagic Southern Ocean Prey Predators (MESOPP), European Commission H2020 (www.mesopp.eu) Expert Working Group Benchmarks Ecosystem Assessment EBFM. Lenfest Ocean Program Marine Ecosystems Research Programme (MERP) (https://marine-ecosystems.org.uk). UK Defra - Natural Environmental Research Council “Monitoring Management Deepwater Fisheries Stocks” (Deepfishman) European Union Framework 7. “Developing fisheries management indicators targets” (DEFINEIT) European Marifish Joint Research project. “Indicators fisheries Management Europe” (IMAGE) European Union Framework 6.","code":""},{"path":"https://sizespectrum.org/mizer/articles/running_a_simulation.html","id":"sec:projection","dir":"Articles","previous_headings":"","what":"Introduction","title":"Running a Simulation","text":"community trait-based models, used project() function perform simple simulations fishing effort held constant throughout duration simulation. trait-based model example, also looked effort different gears specified. section take detailed look project() function works different ways effort time can set . allow us run general systems like multispecies model. mizer, simulations performed using project() function. function takes MizerParams object projects forward time, starting initial population abundance pre-determined fishing effort pattern. Running projection project() requires various arguments: MizerParams object - model parameters (see previous section); Fishing effort - fishing effort gear time; Time arguments - Arguments control time simulation, including simulation time step, length simulation frequently output stored. Initial population - initial abundances stocks resource spectrum; help page project() describes arguments detail. MizerParams class explored previous section. section look arguments use examples perform simple projections.","code":""},{"path":"https://sizespectrum.org/mizer/articles/running_a_simulation.html","id":"sec:time_arguments","dir":"Articles","previous_headings":"","what":"The time arguments","title":"Running a Simulation","text":"four arguments control time project() function: dt, t_max t_save t_start. default values. t_max determines maximum time simulation (years), .e. long projection run . default value t_max 100. dt time step used numerical solver project(). smaller value, longer model take run. Sometimes necessary use small value avoid numerical instabilities. default value 0.1. t_save sets interval (years) project() stores state model resulting MizerSim object. example, t_save = 2, state model stored t = 0, 2, 4… etc. t_save must multiple dt. default value t_save 1. t_start year simulation starts. needed want label simulation results actual year rather number years elapsed since start simulation.","code":""},{"path":"https://sizespectrum.org/mizer/articles/running_a_simulation.html","id":"setting-the-fishing-effort","dir":"Articles","previous_headings":"","what":"Setting the fishing effort","title":"Running a Simulation","text":"fishing effort argument describes effort fishing gears model time. already seen information fishing gears selectivities catchabilities stored MizerParams object. three ways setting fishing effort. Examples three can seen section projection examples. simplest way passing effort argument single number. value used fishing effort gears time step projection, .e. fishing effort constant throughout simulation gears. seen method community trait-based model sections . length simulation determined t_max argument. second method setting fishing effort use numeric vector length number gears. values vector used fishing effort gear time step, .e. , fishing effort constant time now gear can different constant effort. effort vector must named names must gears MizerParams object. , length simulation determined t_max argument. Finally, sophisticated way setting fishing effort use two-dimensional array matrix values, set time step gear. row array effort values fishing gear particular time time. array must dimension names. names first dimension (row names) times. steps times can greater dt argument times must increasing. names second dimension (column names) must match names gears MizerParams object used projection. necessary supply t_max argument effort specified array maximum time simulation taken dimension names. value t_max also supplied ignored.","code":""},{"path":"https://sizespectrum.org/mizer/articles/running_a_simulation.html","id":"sec:setting_initial_abundances","dir":"Articles","previous_headings":"","what":"Setting the initial population abundance","title":"Running a Simulation","text":"running simulation project() function, initial populations species resource spectrum need specified. Default values initial values automatically set creating MizerParams object. However can change assigning new values initialN() initialNResource(). initialN() set matrix (dimensions species x size) contains initial abundances species size (sizes must match species size spectrum). initialNResource vector length length full spectrum.","code":""},{"path":"https://sizespectrum.org/mizer/articles/running_a_simulation.html","id":"sec:projection_examples","dir":"Articles","previous_headings":"","what":"Projection examples","title":"Running a Simulation","text":"section ’ll look run simulations project() function. examples focus fishing effort can specified different ways. results simulations explored detail. leave section exploring simulation results.. Remember fishing mortality size species product selectivity, catchability effort gear caught . specified catchability values species parameter data.frame default value 1 used. selectivity ranges 0 1. means examples fishing mortality fully selected species given effort gear catches .","code":""},{"path":"https://sizespectrum.org/mizer/articles/running_a_simulation.html","id":"projections-with-single-simple-constant-effort","dir":"Articles","previous_headings":"Projection examples","what":"Projections with single, simple constant effort","title":"Running a Simulation","text":"use single value effort argument, value used constant effort gears. method can particularly useful quickly projecting forward without fishing (just set effort argument 0). use MizerParams object four gears similar one created section examples making MizerParams objects example MizerParams object called NS_params shipped mizer package. Let’s look summary: well thinking effort argument also need consider time parameters. project populations forward time equals 10 (t_max = 10), time step 0.1 (dt = 0.1), saving output every time step (t_save = 1). use constant effort value 1.0. resulting sim object class MizerSim. point won’t explore results can investigated detail. However, use basic summary plot seen :  big difference multispecies model trait-based model can seen range predation mortality feeding level values. trait-based model species predation mortality feeding level patterns. species different patterns, driven differing life history characteristics heterogeneous interaction matrix. can also see figure species different fishing selectivity (see fishing mortality panel). Remember default setting fishing gears knife-edge gear knife-edge positioned species w_mat parameter. effort time can inspected getEffort() (use head() function just show first lines). effort slot shows effort time gear. example, specified effort argument single numeric value 1. can see results effort used gears time steps. summary() method also available objects type MizerSim. essentially summary MizerParams objects, includes information simulation time parameters. decrease t_save keep t_max can see time dimension effort array changes accordingly. also true simulation results returned N() NResource(). reduce t_save 0.5, meaning effort abundance information stored t = 1.0, 1.5, 2.0 etc.","code":"summary(NS_params) ## An object of class \"MizerParams\"  ## mizer version: 2.5.4.9123 ## Created: 2021-09-03 20:29:38 ## Modified: 2026-04-12 11:31:45 ## Consumer size spectrum: ##  minimum size:   0.001 ##  maximum size:   39851.3 ##  no. size bins:  100 ## Resource size spectrum: ##  minimum size:   2.12182e-13 ##  maximum size:   9.82091 ##  no. size bins:  179 (226 size bins in total) ## Species details: ##    species   w_max w_mat w_min  f0   beta sigma ## 1    Sprat    33.0    13 0.001 0.6  51076   0.8 ## 2  Sandeel    36.0     4 0.001 0.6 398849   1.9 ## 3   N.pout   100.0    23 0.001 0.6     22   1.5 ## 4  Herring   334.0    99 0.001 0.6 280540   3.2 ## 5      Dab   324.0    21 0.001 0.6    191   1.9 ## 6  Whiting  1192.0    75 0.001 0.6     22   1.5 ## 7     Sole   866.0    78 0.001 0.6    381   1.9 ## 8  Gurnard   668.0    39 0.001 0.6    283   1.8 ## 9   Plaice  2976.0   105 0.001 0.6    113   1.6 ## 10 Haddock  4316.5   165 0.001 0.6    558   2.1 ## 11     Cod 39851.3  1606 0.001 0.6     66   1.3 ## 12  Saithe 39658.6  1076 0.001 0.6     40   1.1 ##  ## Fishing gear details: ## Gear          Effort  Target species  ##  ---------------------------------- ## Industrial     0.00   Sprat, Sandeel, N.pout  ## Pelagic        1.00   Herring  ## Beam           0.50   Dab, Sole, Plaice  ## Otter          0.50   Whiting, Gurnard, Haddock, Cod, Saithe sim <- project(NS_params, effort = 1, t_max = 10, dt = 0.1, t_save = 1) plot(sim) head(getEffort(sim)) ##     gear ## time Industrial Pelagic Beam Otter ##    0          1       1    1     1 ##    1          1       1    1     1 ##    2          1       1    1     1 ##    3          1       1    1     1 ##    4          1       1    1     1 ##    5          1       1    1     1 summary(sim) sim <- project(NS_params, effort = 1, t_max = 10, dt = 0.1, t_save = 0.5) head(getEffort(sim)) ##      gear ## time  Industrial Pelagic Beam Otter ##   0            1       1    1     1 ##   0.5          1       1    1     1 ##   1            1       1    1     1 ##   1.5          1       1    1     1 ##   2            1       1    1     1 ##   2.5          1       1    1     1"},{"path":"https://sizespectrum.org/mizer/articles/running_a_simulation.html","id":"sec:proj_diff_gears_constant_effort","dir":"Articles","previous_headings":"Projection examples","what":"Setting constant effort for different gears","title":"Running a Simulation","text":"mentioned , can also set effort values gear separately using vector effort values. still keeps efforts constant time means gear can different constant effort. need create named vector effort, names match gears. example, want switch industrial gear (.e. effort = 0), keep pelagic gear effort 1, set effort beam trawl gears 0.3 effort otter trawl gear 0.7. set effort like : call project() effort inspect resulting effort matrix (use head() function just show first lines): can see effort gear constant gear effort specified effort argument. impact can seen plotting fishing mortality. dedicated plot, plotFMort(), shows fishing mortality size species particular time step (default final time step). fishing mortality species determined effort gear caught .","code":"effort <- c(Industrial = 0, Pelagic = 1, Beam = 0.3, Otter = 0.7) sim <- project(NS_params, effort = effort, t_max = 10, dt = 1, t_save = 1) head(getEffort(sim)) ##     gear ## time Industrial Pelagic Beam Otter ##    0          0       1  0.3   0.7 ##    1          0       1  0.3   0.7 ##    2          0       1  0.3   0.7 ##    3          0       1  0.3   0.7 ##    4          0       1  0.3   0.7 ##    5          0       1  0.3   0.7 plotFMort(sim)"},{"path":"https://sizespectrum.org/mizer/articles/running_a_simulation.html","id":"an-example-of-changing-effort-through-time","dir":"Articles","previous_headings":"Projection examples","what":"An example of changing effort through time","title":"Running a Simulation","text":"example set complicated fishing effort structure allows fishing effort gear change time. mentioned , , effort must supplied two dimensional array matrix. first dimension time second dimension gear. dimensions must named. gear names must match gears MizerParams object. Also, mentioned , effort passed array length simulation determined time dimension names argument t_max used. Instead simulation runs earliest time effort array latest. example, project forward time \\(t=1\\) time \\(t=10\\). effort industrial gear held constant 0.5, effort pelagic gear increased linearly 1 2, effort beam trawl decreases linearly 1 0, whilst effort otter trawl decreases linearly 1 0.5. First create empty effort array: fill , one gear time, making heavy use seq() function create sequence: first rows effort array shown illustration: first row gives effort times 1 2, second times 2 3, . time 10 row array actually used, except set final time simulation. Now can use effort array projection: can see, can quite fiddly set complicated effort array may easier prepare advance .csv file read , similar read interaction matrix section examples making MizerParams object. give example section North Sea model. Note example set effort array effort set every whole time step (e.g. time = 1, 2, etc). case possible set effort frequently , e.g. time = 1.0, 1.5, 2.0, 2.5 etc. restriction difference time dimension names must least big dt argument. Now know run simulation, ready learn explore simulation results.","code":"gear_names <- c(\"Industrial\",\"Pelagic\",\"Beam\",\"Otter\") times <- seq(from = 1, to = 10, by = 1) effort_array <- array(NA, dim = c(length(times), length(gear_names)),     dimnames = list(time = times, gear = gear_names)) effort_array[,\"Industrial\"] <- 0.5 effort_array[,\"Pelagic\"] <- seq(from = 1, to = 2, length = length(times)) effort_array[,\"Beam\"] <- seq(from = 1, to = 0, length = length(times)) effort_array[,\"Otter\"] <- seq(from = 1, to = 0.5, length = length(times)) head(effort_array) ##     gear ## time Industrial  Pelagic      Beam     Otter ##    1        0.5 1.000000 1.0000000 1.0000000 ##    2        0.5 1.111111 0.8888889 0.9444444 ##    3        0.5 1.222222 0.7777778 0.8888889 ##    4        0.5 1.333333 0.6666667 0.8333333 ##    5        0.5 1.444444 0.5555556 0.7777778 ##    6        0.5 1.555556 0.4444444 0.7222222 sim <- project(NS_params, effort = effort_array, dt = 0.1) head(sim@effort) ##     gear ## time Industrial  Pelagic      Beam     Otter ##    1        0.5 1.000000 1.0000000 1.0000000 ##    2        0.5 1.111111 0.8888889 0.9444444 ##    3        0.5 1.222222 0.7777778 0.8888889 ##    4        0.5 1.333333 0.6666667 0.8333333 ##    5        0.5 1.444444 0.5555556 0.7777778 ##    6        0.5 1.555556 0.4444444 0.7222222"},{"path":"https://sizespectrum.org/mizer/articles/single_species_size-spectrum_dynamics.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"Single-species size-spectrum dynamics","text":"tutorial gain understanding size-spectrum dynamics. separate size-spectrum effects multi-species effects, concentrate single species tutorial. Size-spectrum dynamics describes detail biomass transported ecosystem small sizes large sizes. Thus best way think size-spectrum dynamics think traffic highway, except instead cars travelling along road fish growing along size axis, way egg size maximum size. Let us explore analogy briefly. flow traffic highway dependent traffic density, turn dependent changes traffic velocity. High traffic density arises sections road traffic velocity decreases. decrease can lead traffic jams. Low traffic density arises sections velocity increases, familiar emerging side traffic jam. Traffic jams self-reinforcing phenomena: decrease speed somewhere density cars increases causes decrease speed, leading even higher density, . Similarly, high fish density arises size classes growth rate decreases. pronounced decrease growth rate can lead pronounced peaks fish density, similar traffic jam. course fish density also controlled death rate, high death rate leading decreased fish density. precise, fish density size class increases rate fish grow size class larger rate either grow size class die size class. Thus size-spectrum dynamics result interplay death rate changes growth rate. mathematically minded, interplay expressed partial differential equation \\[\\frac{\\partial}{\\partial t}N(w,t) = -\\frac{\\partial}{\\partial w}\\big(N(w,t)g(w,t)\\big) - \\mu(w,t)\\] \\(N(w,t)\\) fish density size \\(w\\) time \\(t\\), \\(g(w,t)\\) growth rate individual size \\(w\\) time \\(t\\) \\(\\mu(w,t)\\) death rate. need understand mathematical notation. Size-spectrum dynamics like traffic highway cars can leave highway (fish can die) point, can join highway beginning (fish start egg size). model size spectrum therefore also describe rate \\(R(t)\\) eggs entering size spectrum, .e., rate mature fish reproduce. discussing detail determines death rate \\(\\mu(w,t)\\), growth rate \\(g(w,t)\\) rate reproduction \\(R(t)\\).","code":""},{"path":"https://sizespectrum.org/mizer/articles/single_species_size-spectrum_dynamics.html","id":"why-study-size-spectrum-dynamics","dir":"Articles","previous_headings":"","what":"Why study size-spectrum dynamics?","title":"Single-species size-spectrum dynamics","text":"study traffic dynamics real practical benefits. example, least motorways Europe, danger traffic jam developing, automatic speed restrictions imposed certain distance front developing slow-moving traffic. motorists thought traffic flow, speed restrictions places obvious reason annoying. However indeed avoid formation traffic jam. course can directly tell fish obey limits growth rates. However influence size-spectrum dynamics fishing policy. example species experiences stunted growth, like example Herring Baltic Sea, resolve reducing numbers (increases growth rate reduced competition food) reducing fishing prey. size-spectrum dynamics multi-species ecosystem extremely complex. can understand simplified cases analytically, general need use numerical simulation understand consequences various interventions. mizer package can simulate size-spectrum dynamics. Given model parameters enter expression growth rate, death rate reproductive rate, initial fish size spectrum, mizer simulates changes size spectrum time according equations. particular interest steady state size spectrum, effects death rate changes growth rate exactly balance way size spectrum stays constant time. looking steady state time-varying size spectra . emphasis understanding dynamics. just want learn run simulations want use simulations develop intuition fish populations behave. therefore start simple models first.","code":""},{"path":"https://sizespectrum.org/mizer/articles/single_species_size-spectrum_dynamics.html","id":"a-first-example","dir":"Articles","previous_headings":"","what":"A first example","title":"Single-species size-spectrum dynamics","text":"effective way working tutorial open R script file RStudio copying commands tutorial R script file. execute sending R console, thereby reproducing results. Later tutorial exercises can adapting code R script file tasks exercises. way pick facility working mizer R time gaining deeper understanding size spectrum modelling. First, load required packages following commands: get error messages saying particular package available, need install package. Mizer collects parameters describing size-spectrum model one object class MizerParams. need set object hand instead several wrapper functions mizer create object various types models, also many functions changing specific parameters model. use newSingleSpeciesParams() function set model describing single fish species living ecosystem whose community size spectrum given power-law. newSingleSpeciesParams() function many arguments allow specify parameters fish species well community, arguments default values, can simply call function without specifying arguments. specify power-law exponent background community function returns MizerParams object assigned variable params. explaining model go along.","code":"library(mizer) library(dplyr) library(plotly) library(ggplot2) params <- newSingleSpeciesParams(lambda = 2.05)"},{"path":"https://sizespectrum.org/mizer/articles/single_species_size-spectrum_dynamics.html","id":"steady-state-spectrum","dir":"Articles","previous_headings":"","what":"Steady state spectrum","title":"Single-species size-spectrum dynamics","text":"params object also contains initial size spectrum close steady state model. steady state state size class inflow individuals growth exactly balances outflow individuals growth death. start close steady state usually simulate size-spectrum dynamics population evolve closer closer steady state. get steady state use steady() function. result function MizerParams object now initial size spectrum evolved close steady state. can plot size spectrum plotSpectra() function.  power = 0 argument plotSpectra() function specifies want plot number density, rather example biomass density. green line represents number density background community, labelled “Resource” plot legend, foreground species finds . green line straight line slope lambda = -2.05. important understand power-law curve looks like straight line plotted logarithmic axes slope line exponent power law. Thus number density proportional \\(w^{-2.05}\\). line represents number density single species, default just named unimaginatively “Target species”. see straight line initially, bump declining rapidly large sizes. discuss short causes shape. initial slope species number density negative, means fewer larger fish smaller fish. course understandable: fish die growing , tend fewer fish larger size classes. Now time first exercise use commands just learned . Create MizerParams object describing single species power-law background Sheldon exponent 2.1. Assign MizerParams object variable name params, order overwrite MizerParams object created . plot number density function weight steady state model. happy plot, can continue reading. need see solution, can click “Solution” triangle .","code":"params <- steady(params) ## Convergence was achieved in 1.5 years. plotSpectra(params, power = 0) params2 <- newSingleSpeciesParams(lambda = 2.1) params2 <- steady(params2) ## Convergence was achieved in 1.5 years. plotSpectra(params2, power = 0)"},{"path":"https://sizespectrum.org/mizer/articles/single_species_size-spectrum_dynamics.html","id":"numbers","dir":"Articles","previous_headings":"","what":"Numbers","title":"Single-species size-spectrum dynamics","text":"plotSpectra() function gives us plot number density, nice get actual numbers. steady() function stored numbers initial condition params object can access initialN() function. Let us assign variable n: can see “Environment” pane RStudio, n matrix 1 row 101 columns. one row corresponds one species. multispecies model one row species, holding number density species. 101 columns number densities 101 size classes. fact, n named array, .e., row column names. can extract dimnames() function. names columns weight grams start size class. Notice R displays long vectors breaking across many lines starting line number brackets. number index first value row. example see 61st size bracket starts 1 gram. number density size class 1 gram 1.12 grams important realise number fish size class, number density. get number fish multiply number width size class. widths can obtained dw() function. number fish 61st size class may surprised small number interpret number fish 1 gram 1.12 gram entire ocean. However looks reasonable average number per square meter sea. discussion issue working numbers per area, numbers per volume numbers entire system see https://sizespectrum.org/mizer/reference/setParams.html#units--mizer Determine total number fish sizes 10 grams 20 grams. can use sum() function add together contributions various size classes.","code":"n <- initialN(params) dimnames(n) ## $sp ## [1] \"Target species\" ##  ## $w ##   [1] \"0.001\"   \"0.00112\" \"0.00126\" \"0.00141\" \"0.00158\" \"0.00178\" \"0.002\"   ##   [8] \"0.00224\" \"0.00251\" \"0.00282\" \"0.00316\" \"0.00355\" \"0.00398\" \"0.00447\" ##  [15] \"0.00501\" \"0.00562\" \"0.00631\" \"0.00708\" \"0.00794\" \"0.00891\" \"0.01\"    ##  [22] \"0.0112\"  \"0.0126\"  \"0.0141\"  \"0.0158\"  \"0.0178\"  \"0.02\"    \"0.0224\"  ##  [29] \"0.0251\"  \"0.0282\"  \"0.0316\"  \"0.0355\"  \"0.0398\"  \"0.0447\"  \"0.0501\"  ##  [36] \"0.0562\"  \"0.0631\"  \"0.0708\"  \"0.0794\"  \"0.0891\"  \"0.1\"     \"0.112\"   ##  [43] \"0.126\"   \"0.141\"   \"0.158\"   \"0.178\"   \"0.2\"     \"0.224\"   \"0.251\"   ##  [50] \"0.282\"   \"0.316\"   \"0.355\"   \"0.398\"   \"0.447\"   \"0.501\"   \"0.562\"   ##  [57] \"0.631\"   \"0.708\"   \"0.794\"   \"0.891\"   \"1\"       \"1.12\"    \"1.26\"    ##  [64] \"1.41\"    \"1.58\"    \"1.78\"    \"2\"       \"2.24\"    \"2.51\"    \"2.82\"    ##  [71] \"3.16\"    \"3.55\"    \"3.98\"    \"4.47\"    \"5.01\"    \"5.62\"    \"6.31\"    ##  [78] \"7.08\"    \"7.94\"    \"8.91\"    \"10\"      \"11.2\"    \"12.6\"    \"14.1\"    ##  [85] \"15.8\"    \"17.8\"    \"20\"      \"22.4\"    \"25.1\"    \"28.2\"    \"31.6\"    ##  [92] \"35.5\"    \"39.8\"    \"44.7\"    \"50.1\"    \"56.2\"    \"63.1\"    \"70.8\"    ##  [99] \"79.4\"    \"89.1\"    \"100\" n[1, 61] ## [1] 0.0003282314 (n * dw(params))[1, 61] ## [1] 4.005029e-05 sum((n * dw(params))[1, 81:86]) ## [1] 4.163148e-05"},{"path":"https://sizespectrum.org/mizer/articles/single_species_size-spectrum_dynamics.html","id":"biomass-spectra","dir":"Articles","previous_headings":"","what":"Biomass spectra","title":"Single-species size-spectrum dynamics","text":"Without power argument (power = 1 default) plotSpectra() function plots biomass density function size.  Now green line representing biomass density background slope -1.05. initial slope species biomass density negative, meaning biomass density decreases size. means even though individual fish course gain biomass grow , much death among larvae juvenile fish total biomass cohort nevertheless decreases grows . explain reason later discuss predation mortality. can also plot Sheldon spectrum, .e., biomass density function log weight instead weight, supplying argument power = 2 plotSpectra().  now shows approximately constant biomass density function log size (slope green line -0.05). biomass density species function log size initially increases. binned logarithmically-sized bins biomass bin initially increase, starts decreasing close maximum size species. may bit confusing displayed size spectrum three different ways. important aware literature see different conventions used, see plot size spectrum always need ask exactly density shown. can obtain biomass density size class number density multiplying number density weight individuals size class. obtain weights, use function w() returns weights start size class. course using lead discretisation error fish size class weight, small size classes use mizer, error important. calculate total biomass size class obtain multiplying biomass density size class width size class example biomass fish 1 gram 1.12 grams Next discuss shape species size-spectrum detail.","code":"plotSpectra(params) plotSpectra(params, power = 2) biomass_density <- n * w(params) biomass <- biomass_density * dw(params) biomass[61] ## [1] 4.005029e-05"},{"path":"https://sizespectrum.org/mizer/articles/single_species_size-spectrum_dynamics.html","id":"allometric-rates","dir":"Articles","previous_headings":"","what":"Allometric rates","title":"Single-species size-spectrum dynamics","text":"first striking feature species size-spectrum, representations, small fish (larvae juveniles) given straight line. due allometric scaling physiological rates, discuss section. striking feature bulge around maturity size, discuss section reproduction. First , metabolic rate, .e., rate organism expends energy basic metabolic needs, scales power organism’s body size, power \\(p = 3/4\\). energy needs supplied consumption food, natural assume also consumption rate scales allometrically power \\(n = 3/4\\). consumption greater metabolic cost excess leads growth. Hence growth rate scales allometrically power \\(n = 3/4\\). standard choices allometric exponents, mizer allows choose values \\(p\\) \\(n\\). Finally, death rate organisms tends scale allometrically power \\(p - 1 = 3/4 - 1 = -1/4\\). death rate experienced larger individuals smaller small individuals. confirmed many observations. result mathematics growth death rates scale allometrically exponents \\(p\\) \\(1-p\\) respectively, metabolic exponent \\(p\\), number density steady state also power law, .e., straight line log-log plot. Let us check model physiological rates indeed power laws, least small sizes. can get growth rate getEGrowth() function. assign result variable name growth_rate. can see “Environment” pane matrix one row one species 101 columns 101 size classes. example growth rate size 1 gram (seen 61st size class starts 1 gram). instantaneous per-capita growth rate, measured grams per year. like make log-log plot growth rate size check gives straight line. use ggplot() purpose. ggplot() likes work data frames instead named matrices, first convert matrix data frame melt() function. can see “Environment” pane new variable called growth_rate_frame data frame 101 observations 3 variables. 101 observations correspond 101 size classes. 3 variables names species sp, size w, value contains growth_rate. data frame can pass ggplot().  Note linked x axis w variable y axis value variable specified axes logarithmic scale. see least size grams line straight. Let’s isolate growth rate smaller sizes fit linear model slope line indeed \\(0.75 = 3/4\\). fact, shows juveniles \\[\\log(g(w)) = 1.435 + \\frac34 \\log(w)\\] thus \\[g(w) = g_0\\ w^p = 1.435\\  w^{3/4}.\\] course real model, growth rate exactly follow power law, due variations growth rate due variations food availability, example. Now . exercise 3 exercise notebook. Use methods just seen make log-log plot mortality rate. can get mortality rate getMort() function.  fit linear model determine slope intercept thus allometric exponent coefficient mortality rate, establish mortality rate \\[\\mu(w) = \\mu_0\\ w^{p-1} = 1.36 \\ w^{-1/4}.\\]","code":"growth_rate <- getEGrowth(params) growth_rate[1, 61] ## [1] 4.2 growth_rate_frame <- melt(growth_rate) names(growth_rate_frame) ## [1] \"sp\"    \"w\"     \"value\" p <- ggplot(growth_rate_frame) +     geom_line(aes(x = w, y = value)) +     scale_x_log10() +     scale_y_log10() +     labs(x = \"Weight [g]\",          y = \"Growth rate [g/year]\") p g_small_fish <- filter(growth_rate_frame, w <= 10) lm(log(g_small_fish$value) ~ log(g_small_fish$w)) ##  ## Call: ## lm(formula = log(g_small_fish$value) ~ log(g_small_fish$w)) ##  ## Coefficients: ##         (Intercept)  log(g_small_fish$w)   ##               1.435                0.750 mort_rate_frame <- melt(getMort(params)) p <- ggplot(mort_rate_frame) +     geom_line(aes(x = w, y = value)) +     scale_x_log10() +     scale_y_log10() +     labs(x = \"Weight [g]\",          y = \"Growth rate [g/year]\") p lm(log(mort_rate_frame$value) ~ log(mort_rate_frame$w)) ##  ## Call: ## lm(formula = log(mort_rate_frame$value) ~ log(mort_rate_frame$w)) ##  ## Coefficients: ##            (Intercept)  log(mort_rate_frame$w)   ##                   1.36                   -0.25"},{"path":"https://sizespectrum.org/mizer/articles/single_species_size-spectrum_dynamics.html","id":"slope-of-juvenile-spectrum","dir":"Articles","previous_headings":"","what":"Slope of juvenile spectrum","title":"Single-species size-spectrum dynamics","text":"seen juvenile fish growth rate death rate power laws exponents \\(p=3/4\\) \\(p-1=-1/4\\) respectively. solving differential equation can derive juvenile spectrum also follows power law: \\[N(w) = N_0\\ w^{-\\mu_0/g_0 - p}\\] won’t maths (probably don’t want anyway), can check claim numerically. Let’s look spectrum 10 grams. now know . first convert number density matrix n dataframe filter observations \\(w\\leq 10\\). resulting data frame pass ggplot() ask plot line log-log axes.  confirms seen earlier, fish less 10 grams number density power law. determine exponent power law need slope straight line log-log plot, easiest way fit linear model log variables: linear model fit says exponent -1.682. mathematics claimed exponent \\(-\\mu_0 / g_0 - p\\). already observed \\(\\mu_0 = 1.36\\) \\(g_0 = 1.435\\) get quite result linear model fit, nature numerical calculations: one gets discretisation errors rounding errors.","code":"nf <- melt(n) %>%    filter(w <= 10)  ggplot(nf) +   geom_line(aes(x = w, y = value)) +   scale_x_log10() +   scale_y_log10() +   labs(x = \"Weight [g]\",        y = \"Number density [1/g]\") lm(log(nf$value) ~ log(nf$w)) ##  ## Call: ## lm(formula = log(nf$value) ~ log(nf$w)) ##  ## Coefficients: ## (Intercept)    log(nf$w)   ##      -8.022       -1.682 -m0 / g0 - 3 / 4 ## [1] -1.697735"},{"path":"https://sizespectrum.org/mizer/articles/single_species_size-spectrum_dynamics.html","id":"shape-of-adult-spectrum","dir":"Articles","previous_headings":"","what":"Shape of adult spectrum","title":"Single-species size-spectrum dynamics","text":"Now understand shape size spectrum juvenile fish, let us try understand bulge follows. increase abundance see around maturity size species due drop growth rate size. turn due fact mature fish invests energy income reproduction.","code":""},{"path":"https://sizespectrum.org/mizer/articles/single_species_size-spectrum_dynamics.html","id":"investment-into-reproduction","dir":"Articles","previous_headings":"Shape of adult spectrum","what":"Investment into reproduction","title":"Single-species size-spectrum dynamics","text":"Let us look plot proportion available energy invested reproduction function size  maturity curve specified? can find details mizer documentation. look three species parameters involved: maturity size w_mat 50% individuals mature. maximum size w_max population invests 100% income reproduction thus growth zero. exponent m determines proportion individual invests reproduction scales size. species parameters contained data frame inside params object can access species_params() function. can see, lot species parameters, talk later. now let’s just select three parameters interested .","code":"psi <- melt(getMaturityProportion(params) * getReproductionProportion(params)) ggplot(psi) +   geom_line(aes(x = w, y = value)) +   labs(x = \"Weight [g]\",        y = \"Proportion invested into reproduction\") species_params(params) ##                       species w_min w_max    w_mat w_min_idx  h    gamma ks  f0 ## Target species Target species 0.001   100 25.11886         1 30 2066.004  3 0.6 ##                  fc beta sigma z0 alpha   erepro    n    p w_repro_max ## Target species 0.25  100   1.3  0   0.4 0.899483 0.75 0.75         100 ##                interaction_resource z_ext     d E_ext D_ext is_background ## Target species                    1     0 -0.25     0     0         FALSE ##                pred_kernel_type k   q  w_mat25 m R_max ## Target species        lognormal 0 0.8 22.50546 1   Inf select(species_params(params), w_mat, w_max, m) ##                   w_mat w_max m ## Target species 25.11886   100 1"},{"path":"https://sizespectrum.org/mizer/articles/single_species_size-spectrum_dynamics.html","id":"effect-of-change-in-maturity-curve","dir":"Articles","previous_headings":"Shape of adult spectrum","what":"Effect of change in maturity curve","title":"Single-species size-spectrum dynamics","text":"Let us investigate happens change maturity curve. Let’s assume maturity size actually 40 grams. Let us change value species_params data frame. first make copy params object can keep old version around unchanged. copy now change species parameters Now maturity curve changed, can verify plotting  point let’s take little break learn draw two curves graph. can see old maturity curve new maturity curve plot? First add extra column dataframe describing bind two data frames together send combined data frame ggplot()  change maturity curve course implies change growth rates. Make plot showing growth rates original model model changed maturity curve.  Next let us look steady state spectrum changed. first need run changed model steady state use technique plot steady-state spectra models top .  expected, bump happens later due larger maturity size less pronounced, maturity curve less steep.","code":"params_changed_maturity <- params species_params(params_changed_maturity)$w_mat <- 40 psi_changed_maturity <-      melt(getMaturityProportion(params_changed_maturity) *              getReproductionProportion(params_changed_maturity)) ggplot(psi_changed_maturity) +   geom_line(aes(x = w, y = value)) +   labs(x = \"Weight [g]\",        y = \"Proportion invested into reproduction\") psi$type <- \"original\" psi_changed_maturity$type <- \"changed\" psi_combined <- rbind(psi, psi_changed_maturity) ggplot(psi_combined) +   geom_line(aes(x = w, y = value, colour = type)) +   labs(x = \"Weight [g]\",        y = \"Proportion invested into reproduction\") growth_rate_frame_changed <- melt(getEGrowth(params_changed_maturity)) growth_rate_frame$type <- \"original\" growth_rate_frame_changed$type <- \"changed\" growth_rate_frame_combined <- rbind(growth_rate_frame,                                     growth_rate_frame_changed) ggplot(growth_rate_frame_combined) +   geom_line(aes(x = w, y = value, colour = type)) +   labs(x = \"Weight [g]\",        y = \"Growth rate [g/year]\") params_changed_maturity <- steady(params_changed_maturity) ## Convergence was achieved in 7.5 years. ## Warning in setBevertonHolt.MizerParams(params, reproduction_level = old_reproduction_level): The following species require an unrealistic value greater than 1 for `erepro`: Target species nf <- melt(initialN(params)) nf_changed_maturity <- melt(initialN(params_changed_maturity)) nf$type <- \"original\" nf_changed_maturity$type <- \"changed\" nf_combined <- rbind(nf, nf_changed_maturity) ggplot(nf_combined) +   geom_line(aes(x = w, y = value, colour = type)) +   scale_x_log10() +   scale_y_log10() +   labs(x = \"Weight [g]\",        y = \"Number density [1/g]\")"},{"path":"https://sizespectrum.org/mizer/articles/single_species_size-spectrum_dynamics.html","id":"reproductive-efficiency","dir":"Articles","previous_headings":"Shape of adult spectrum","what":"Reproductive efficiency","title":"Single-species size-spectrum dynamics","text":"happens energy invested reproduction? leads spawning thus influx new individuals egg size. conversion energy invested reproduction egg biomass inefficient. Firstly much energy spent things like migration spawning grounds, rather production gonadic mass. Secondly, small proportion eggs produced viable hatch larvae. order population steady state, reproductive efficiency particular value. higher, population increase, lower, population decrease time. steady() function set reproductive efficiency just right value maintain population level stored species parameter called erepro. model changed maturity curve leads different rate investment reproduction thus needs slightly different reproductive efficiency remain steady state: reproductive efficiency steady state. population deviates steady state, example due change fishing, reproductive efficiency can set change according Beverton-Holt stock-recruitment curve. discuss later.","code":"species_params(params)$erepro ## [1] 0.899483 species_params(params_changed_maturity)$erepro ## [1] 1.016333"},{"path":"https://sizespectrum.org/mizer/articles/single_species_size-spectrum_dynamics.html","id":"predation","dir":"Articles","previous_headings":"","what":"Predation","title":"Single-species size-spectrum dynamics","text":"now time discuss important issue predation. predation fish obtains energy needs maintain metabolism, grow invest reproduction. important model predation.","code":""},{"path":"https://sizespectrum.org/mizer/articles/single_species_size-spectrum_dynamics.html","id":"effect-of-prey-availability","dir":"Articles","previous_headings":"Predation","what":"Effect of prey availability","title":"Single-species size-spectrum dynamics","text":"energy income fish comes predation prey. less prey, fish consumes less thus growth rate decrease. Let us investigate artificially removing prey. decrease community spectrum factor 10 size range 1mg 10mg. create new parameter object able keep old one around course quite dramatic intervention, allow us clearly see effect steady-state size distribution species.  expected, lack food resulting slow-growth leads traffic jam: peak biomass density. slow-occurs size factor 100 larger size food reduced. discuss next section. first investigate happens prey abundance increased instead decreased. Plot steady state biomass density model community abundance increased factor 10 size range 1mg 10mg.","code":"params_starved <- params size_range <- w_full(params) > 10^-3 & w_full(params) < 10^-2 initialNResource(params_starved)[size_range] <-    initialNResource(params)[size_range] / 10 params_starved <- steady(params_starved) ## Convergence was achieved in 9 years. ## Warning in setBevertonHolt.MizerParams(params, reproduction_level = old_reproduction_level): The following species require an unrealistic value greater than 1 for `erepro`: Target species plotSpectra(params_starved, power = 2) params_overfed <- params size_range <- w_full(params) > 10^-3 & w_full(params) < 10^-2 initialNResource(params_overfed)[size_range] <-    initialNResource(params)[size_range] * 10 params_overfed <- steady(params_overfed) ## Convergence was achieved in 7.5 years. plotSpectra(params_overfed, power = 2)"},{"path":"https://sizespectrum.org/mizer/articles/single_species_size-spectrum_dynamics.html","id":"how-predation-is-modelled","dir":"Articles","previous_headings":"Predation","what":"How predation is modelled","title":"Single-species size-spectrum dynamics","text":"easiest case understand predation imagine filter feeding fish, swimming around mouth open. Clearly amount food takes determined four things: density prey water, much volume water fish able filter, depend fast swims well gape size. sizes prey fish able filter water, limited gape size fine gill rakers , fast can digest food. can filter prey faster can digest, start letting prey go uneaten. active hunter situation similar. rate predates depend four things: density prey water volume water fish patrols able seek prey. may depend things like radius vision. detected prey fish able catch, depend mouth size also agility skill well defensive mechanisms prey. fast can digest food. four factors, course already discussing density prey. next section discuss ability filter catch prey particular sizes, model via predation kernel. section discuss search volume following section maximum consumption rate.","code":""},{"path":"https://sizespectrum.org/mizer/articles/single_species_size-spectrum_dynamics.html","id":"the-predation-kernel","dir":"Articles","previous_headings":"Predation","what":"The predation kernel","title":"Single-species size-spectrum dynamics","text":"Fish particularly good catching prey specific range sizes, smaller . encoded size-spectrum model predation kernel. Let us take look predation kernel model. can obtain function getPredKernel(). large three-dimensional array (predator species x predator size x prey size). extract kernel predator size 10g (using remember size class 81) drop = FALSE option prevent R dropping array dimensions. can now plot usual  see predator size 10g likes feed prey factor 100 smaller , also feeds sizes, just reduced preference. preferred predator/prey size ratio determined species parameter beta width feeding kernel, .e., fussy predator regarding prey size, determined species parameter sigma. model values Let us change preferred predator/prey mass ratio 100 1000. usual, first create copy parameter object, make change copy. Let’s make plot see predation kernel indeed changed.  now reduce prey size range 1mg 10mg , now expect produce peak biomass spectrum somewhere 1g 10g. Let’s check.  Yes, expected. details beta sigma parametrise predation kernel, see https://sizespectrum.org/mizer/reference/lognormal_pred_kernel.html#details. information change predation kernel, see https://sizespectrum.org/mizer/reference/setPredKernel.html#setting-predation-kernel important confuse prey preference diet. Just predator might prefer feed prey particular size free choice mean actually feeds predominantly prey. actual diet fish depends also availability prey. smaller prey abundant, realised predator/prey mass ratio diet smaller preferred predator/prey mass ratio. particularly important estimating predation kernel stomach data. Change parameters predation kernel beta = 50 sigma = 2 plot predation kernel predator size 1g. see predation kernel truncated predator never feeds prey larger .  Next, plot steady state arising feeding kernel prey abundance artificially reduced factor 10 size range 1mg 10mg previous examples. observe? surprised?","code":"pred_kernel <- getPredKernel(params) pred_kernel_10 <- pred_kernel[, 81, , drop = FALSE] ggplot(melt(pred_kernel_10)) +   geom_line(aes(x = w_prey, y = value)) +   scale_x_log10() select(species_params(params), beta, sigma) ##                beta sigma ## Target species  100   1.3 params_pk <- params species_params(params_pk)$beta <- 1000 getPredKernel(params_pk)[, 81, , drop = FALSE] %>%    melt() %>%    ggplot() +   geom_line(aes(x = w_prey, y = value)) +   scale_x_log10() initialNResource(params_pk) <- initialNResource(params_starved) params_pk <- steady(params_pk) ## Convergence was achieved in 7.5 years. ## Warning in setBevertonHolt.MizerParams(params, reproduction_level = old_reproduction_level): The following species require an unrealistic value greater than 1 for `erepro`: Target species plotSpectra(params_pk, power = 2) params3 <- params species_params(params3)$beta <- 50 species_params(params3)$sigma <- 2 getPredKernel(params3)[, 61, , drop = FALSE] %>%    melt() %>%    ggplot() +   geom_line(aes(x = w_prey, y = value)) +   scale_x_log10() initialNResource(params3) <- initialNResource(params_starved) params3 <- steady(params3) ## Convergence was achieved in 7.5 years. plotSpectra(params3, power = 2)"},{"path":"https://sizespectrum.org/mizer/articles/single_species_size-spectrum_dynamics.html","id":"search-volume","dir":"Articles","previous_headings":"Predation","what":"Search volume","title":"Single-species size-spectrum dynamics","text":"Next consider factor models volume water filter feeder able filter certain amount time, volume water forage fish able patrol certain amount time. difficult model first principles, although people tried argue terms swimming speeds fish. assume search volume rate also allometric rate. Let \\(\\gamma(w)\\) denote rate predator size \\(w\\). Thus assume \\[\\gamma(w) = \\gamma_0\\ w^q\\] exponent \\(q\\). know fish needs consume prey rate scales body size power \\(p\\), \\(p\\) \\(3/4\\). also know prey density approximately described Sheldon power law, .e., \\(N(w) = N_0\\ w^{-\\lambda}\\). bit maths says \\[q = 2 - \\lambda + n.\\] explains message got created params object certain choice \\(\\lambda\\): mizer chose search volume exponent automatically according formula. real world, evolution made sure fish developed feeding strategy allows cover metabolic costs, thus leads search volume exponent \\(q\\). Clearly, filter feeders taken different route forage fish, result . Let us see effect changing coefficient \\(\\gamma_0\\) search volume rate . current value model change 2000 find new steady state. can see effect growth curve species. original model looks follows:  modified model looks like  effect change growth rate slope juvenile spectrum? steeper shallower? Make plot spectrum see. juvenile spectrum steeper slope \\(-\\mu_0/g_0 - p\\) smaller growth rate coefficient \\(g_0\\) negative.","code":"species_params(params)$gamma ## [1] 2066.004 params_new_gamma <- params species_params(params_new_gamma)$gamma <- 2000 params_new_gamma <- steady(params_new_gamma) ## Warning in setBevertonHolt.MizerParams(params, reproduction_level = old_reproduction_level): The following species require an unrealistic value greater than 1 for `erepro`: Target species plotGrowthCurves(params) plotGrowthCurves(params_new_gamma) nf <- melt(initialN(params)) nf_new_gamma <- melt(initialN(params_new_gamma)) nf$type <- \"original\" nf_new_gamma$type <- \"changed\" nf_combined <- rbind(nf, nf_new_gamma) ggplot(nf_combined) +   geom_line(aes(x = w, y = value, colour = type)) +   scale_x_log10() +   scale_y_log10() +   labs(x = \"Weight [g]\",        y = \"Number density [1/g]\")"},{"path":"https://sizespectrum.org/mizer/articles/single_species_size-spectrum_dynamics.html","id":"feeding-level","dir":"Articles","previous_headings":"Predation","what":"Feeding level","title":"Single-species size-spectrum dynamics","text":"predator maximum intake rate. simply able utilise food faster rate maximum intake rate. course practice feed maximum intake rate limited availability prey. describe feeding level proportion maximum intake rate predator actually taking prey. simple model feeding level constant.  model reduced search volume feeding level lower  model taking allometric form maximum intake rate \\(h(w)\\) function predator size \\(w\\): \\(h(w) = h\\ w^n\\). current value coefficient \\(h\\) ","code":"plotFeedingLevel(params) plotFeedingLevel(params_new_gamma) species_params(params)$h ## [1] 30"},{"path":[]},{"path":"https://sizespectrum.org/mizer/articles/single_species_size-spectrum_dynamics.html","id":"predation-mortality","dir":"Articles","previous_headings":"Mortality","what":"Predation mortality","title":"Single-species size-spectrum dynamics","text":"course growth predator one aspect predation. death prey. Growth mortality coupled. Increased growth one class individuals necessitate increased death another. free lunch. specified predation parameters, parameters determine growth predators also mortality rate prey. don’t introduce new parameters death predation.","code":""},{"path":"https://sizespectrum.org/mizer/articles/single_species_size-spectrum_dynamics.html","id":"external-mortality","dir":"Articles","previous_headings":"Mortality","what":"External mortality","title":"Single-species size-spectrum dynamics","text":"addition mortality caused predation fish, mortality causes. predation animals included model, like sea birds mammals, death old age (senescent death) disease. Mizer allows setting background death setExtMort().","code":""},{"path":"https://sizespectrum.org/mizer/articles/single_species_size-spectrum_dynamics.html","id":"fishing-mortality","dir":"Articles","previous_headings":"Mortality","what":"Fishing mortality","title":"Single-species size-spectrum dynamics","text":"cause mortality control mortality fishing. can see fishing set mizer https://sizespectrum.org/mizer/reference/setFishing.html#setting-fishing. look simple example: introduce fishing species fish 30 grams. fish greater 30 grams exposed fishing mortality. call kind fishing selectivity “knife_edge” selectivity. Mizer can deal general selectivity curves, like sigmoidal doubly sigmoidal. also need specify fishing effort can plot resulting fishing mortality.","code":"params_fishing <- params species_params(params_fishing)$sel_func <- \"knife_edge\" species_params(params_fishing)$knife_edge_size <- 30 params_fishing <- setFishing(params_fishing, initial_effort = 1) plotFMort(params_fishing)"},{"path":[]},{"path":"https://sizespectrum.org/mizer/articles/single_species_size-spectrum_dynamics.html","id":"outlook","dir":"Articles","previous_headings":"","what":"Outlook","title":"Single-species size-spectrum dynamics","text":"fish species studied unlimited food constant mortality. course unrealistic. reality, food become scarce fish population increases much. Also number predators grow. lead interesting important non-linear effects study next tutorial.","code":""},{"path":"https://sizespectrum.org/mizer/articles/trait_model.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"The Trait-Based Model","text":"trait-based size spectrum model can derived simplification general model outline model description section. complicated community model significant difference two community model aggregates species single spectrum, trait-based model resolves many species. trait-based model maximum size considered important trait characterizing species. species-specific parameters, \\(\\beta\\) \\(\\sigma\\), species. model parameters determined maximum size. example, weight maturation fixed fraction maximum size. maximum sizes species spread evenly logarithmic scale. number species important affect general dynamics model.","code":""},{"path":"https://sizespectrum.org/mizer/articles/trait_model.html","id":"sec:set_up_trait_model","dir":"Articles","previous_headings":"","what":"Setting up a trait-based model","title":"The Trait-Based Model","text":"help set trait-based model, wrapper function, newTraitParams(). Like newCommunityParams() function described section community model, function can take many arguments. default values don’t need worry moment. See help page newTraitParams() details. One key differences community type model trait-based model reproduction egg production considered. community model, reproduction constant relationship abundance community egg production. trait-based model, egg production dependent mature individuals investing part energy income reproduction. relationship energy invested reproduction actual rate egg production modelled using Beverton-Holt type function (default mizer, see section density-dependence reproduction) reproduction rate \\(R_i\\) (numbers per time) approaches maximum energy invested increases. set model 10 species, maximum sizes ranging 10 g 100 kg. parameters default values. function returns object type MizerParams holds model information, including species parameters. object can therefore interrogated way described section community model. summary shows us now 10 species model, maximum sizes ranging \\(8.9125094\\) \\(10^{5}\\). rather strange-looking values sizes due fact size classes equally spaced logarithmic scale. size maturity (w_mat) linearly related maximum size. species preferred predator-prey mass ratio parameter values (beta sigma, see section predator/prey mass ratio). \\(161\\) size bins community \\(301\\) size bins including resource spectrum. Ignore summary section fishing gear moment. explained later.","code":"params <- newTraitParams(no_sp = 10, min_w_max = 10, max_w_max = 1e5) summary(params) ## An object of class \"MizerParams\"  ## mizer version: 2.5.4.9125 ## Created: 2026-05-07 18:50:42 ## Modified: 2026-05-07 18:50:43 ## Consumer size spectrum: ##  minimum size:   0.001 ##  maximum size:   1e+05 ##  no. size bins:  161 ## Resource size spectrum: ##  minimum size:   1e-10 ##  maximum size:   2.23872 ##  no. size bins:  208 (301 size bins in total) ## Species details: ##    species        w_max        w_mat w_min  f0   fc beta sigma ## 1        1 8.912509e+00     2.511886 0.001 0.6 0.25  100   1.3 ## 2        2 2.511886e+01     7.079458 0.001 0.6 0.25  100   1.3 ## 3        3 7.079458e+01    19.952623 0.001 0.6 0.25  100   1.3 ## 4        4 1.995262e+02    56.234133 0.001 0.6 0.25  100   1.3 ## 5        5 5.623413e+02   158.489319 0.001 0.6 0.25  100   1.3 ## 6        6 1.584893e+03   446.683592 0.001 0.6 0.25  100   1.3 ## 7        7 4.466836e+03  1258.925412 0.001 0.6 0.25  100   1.3 ## 8        8 1.258925e+04  3548.133892 0.001 0.6 0.25  100   1.3 ## 9        9 3.548134e+04 10000.000000 0.001 0.6 0.25  100   1.3 ## 10      10 1.000000e+05 28183.829313 0.001 0.6 0.25  100   1.3 ##  ## Fishing gear details: ## Gear          Effort  Target species  ##  ---------------------------------- ## knife_edge_gear 0.00   1, 2, 3, 4, 5, 6, 7, 8, 9, 10"},{"path":"https://sizespectrum.org/mizer/articles/trait_model.html","id":"sec:running_trait_model","dir":"Articles","previous_headings":"","what":"Running the trait-based model","title":"The Trait-Based Model","text":"community model, can project trait-based model time using project() function. project model 75 years without fishing (effort argument set 0). use default initial population abundances need pass initial population values (see section setting initial abundances). results MizerSim object contains abundances community resource spectra time, well original MizerParams object. community model, can get quick overview results simulation calling plot() method:  summary plot panels one generated community model, can see species community plotted. panels show situation final time step simulation, apart biomass time plot. trait-based model species fully interact , predation mortality feeding level size species. simulation turned fishing fishing mortality 0. size-spectra show abundances size evenly spaced log maximum size.","code":"sim <- project(params, t_max = 75, effort = 0) plot(sim)"},{"path":"https://sizespectrum.org/mizer/articles/trait_model.html","id":"sec:trophic_cascade_trait_model","dir":"Articles","previous_headings":"","what":"Example of a trophic cascade with the trait-based model","title":"The Trait-Based Model","text":"community model, possible use trait-based model simulate trophic cascade. , perform two simulations, one fishing one without. therefore need consider fishing gears selectivity set newTraitParams() function. default fishing selectivity function knife-edge function, selects individuals larger 1000 g. also one fishing gear operation, selects species. can see call summary() method params argument set . bottom summary section Fishing gear details. can see one gear, called knife_edge_gear selects species 1 10. control size individuals selected knife_edge_size argument newTraitParams() function. default value 1000 g. mizer possible include one fishing gear model different species caught different gears. ignore now, explore introduce industrial fishery trait-based model. set trait-based model fishing set MizerParams object exactly way knife_edge_size argument explicitly passed clarity: First perform simulation without fishing way setting effort argument 0: Now simulate fishing. , use effort 0.75. mentioned section trophic cascades community model, fishing mortality species calculated product effort, catchability selectivity (see section fishing gears details). Selectivity ranges 0 (selected) 1 (fully selected). default value catchability 1. Therefore, simulation fishing mortality fully selected individual simply equal effort. effort constant throughout duration simulation (however, mizer allow variable effort). , can plot summary fished community using default plot() function. knife-edge selectivity 1000 g can clearly seen fishing mortality panel:  trophic cascade can explored comparing total abundances species size community fished unfished. mentioned , obtain abundances N(sim), returns three dimensional array dimensions time x species x size. 76 time steps (75 simulation plus one stores initial population), 10 species 100 sizes: community model, interested relative total abundances size final time step use finalN() function. gives us matrix one row per species one column per size bin. sum column get vector total abundance per size bin: can use vectors calculate relative abundances: can plotted using commands :  impact fishing species larger 1000 g can clearly seen. fishing pressure lowers abundance large fish (\\(> 1000\\) g). relieves predation pressure smaller prey (preferred predator-prey size ratio given \\(\\beta\\) parameter, set 100 default), leading increase abundance. turn increases predation mortality smaller prey, reduces abundance . impact can also seen looking predation mortality size. predation mortalities retrieved using getPredMort() function. mentioned , trait based model predation mortality size species. Therefore look predation mortality first species. predation mortalities can plotted. Predation mortalities unfished (dashed line) fished (solid line) trait-based model.","code":"params_knife <- newTraitParams(no_sp = 10, min_w_max = 10, max_w_max = 1e5,     knife_edge_size = 1000) sim0 <- project(params_knife, effort = 0, t_max = 75) sim1 <- project(params_knife, effort = 0.75, t_max = 75) plot(sim1) dim(N(sim0)) ## [1]  76  10 161 total_abund0 <- colSums(finalN(sim0)) total_abund1 <- colSums(finalN(sim1)) relative_abundance <- total_abund1 / total_abund0 plot(x = w(params), y = relative_abundance, log = \"xy\", type = \"n\",       xlab = \"Size (g)\", ylab = \"Relative abundance\", ylim = c(0.1, 10)) lines(x = w(params), y = relative_abundance) lines(x = c(min(w(params)), max(w(params))), y = c(1, 1), lty = 2) m2_no_fishing <- getPredMort(params, finalN(sim0))[1, ] m2_with_fishing <- getPredMort(params, finalN(sim1))[1, ] plot(x = w(params), y = m2_with_fishing, log = \"x\", type = \"n\",       xlab = \"Size [g]\", ylab = \"Predation Mortality [1/year]\") lines(x = w(params), y = m2_no_fishing, lty = 2) lines(x = w(params), y = m2_with_fishing)"},{"path":"https://sizespectrum.org/mizer/articles/trait_model.html","id":"sec:trait_additional_gear","dir":"Articles","previous_headings":"","what":"Setting up an industrial fishing gear","title":"The Trait-Based Model","text":"section want operate industrial fishery. Industrial fishing targets small zooplanktivorous species typically used fishmeal production. previous simulations one fishing gear targeted species community. gear knife-edge selectivity selected species larger 1 kg. can see look gear parameters expand model include multiple fishing gears. requires us look closely fishing gears handled mizer. mizer possible fishing gear catch subset species model. useful running simulation project() can specify effort per gear can turn gears want. gear selectivity curve species. set model include two fishing gears: industrial gear catches species maximum size less equal 500g, second gear, , catches everything else. position knife-edge gears occur 0.05 x maximum size .e. selectivity parameters different species depend maximum size. need change gear_params data frame. want keep original model, first make copy making modifications. start need know maximum sizes species model can determine knife-edge positions species. stored w_max column species_params data frame inside params object. can use maximum sizes set vector knife edge sizes 0.05 times maximum size: Now want assign species either industrial gear. check just happened let us look new gear parameter data frame: created MizerParams object multiple gears, can now turn attention running projection multiple gears. previous examples calling project() specified fishing effort effort argument using single value. fixes fishing effort gears model, time steps. can multi-gear parameter object: plotting can see fishing mortality species now different selectivity pattern, position selectivity knife-edge given maximum size species.  industrial fishery said wanted species maximum size 500 g less fished. several ways specifying effort argument project() . specified single value used gears, time steps. also possible specify separate effort gear used time steps. pass effort named vector. set effort Industrial gear 0.75, effort gear 0 (effectively turning ). Now can see Industrial gear operating fishing mortality species larger 500 g 0.","code":"gear_params(params) ##                                gear species   sel_func knife_edge_size ## 1, knife_edge_gear  knife_edge_gear       1 knife_edge            1000 ## 2, knife_edge_gear  knife_edge_gear       2 knife_edge            1000 ## 3, knife_edge_gear  knife_edge_gear       3 knife_edge            1000 ## 4, knife_edge_gear  knife_edge_gear       4 knife_edge            1000 ## 5, knife_edge_gear  knife_edge_gear       5 knife_edge            1000 ## 6, knife_edge_gear  knife_edge_gear       6 knife_edge            1000 ## 7, knife_edge_gear  knife_edge_gear       7 knife_edge            1000 ## 8, knife_edge_gear  knife_edge_gear       8 knife_edge            1000 ## 9, knife_edge_gear  knife_edge_gear       9 knife_edge            1000 ## 10, knife_edge_gear knife_edge_gear      10 knife_edge            1000 ##                     catchability ## 1, knife_edge_gear             1 ## 2, knife_edge_gear             1 ## 3, knife_edge_gear             1 ## 4, knife_edge_gear             1 ## 5, knife_edge_gear             1 ## 6, knife_edge_gear             1 ## 7, knife_edge_gear             1 ## 8, knife_edge_gear             1 ## 9, knife_edge_gear             1 ## 10, knife_edge_gear            1 params_multi_gear <- params gear_params(params_multi_gear)$knife_edge_size <-    species_params(params)$w_max * 0.05 no_sp <- 10 gear <- rep(\"Industrial\", no_sp) gear[species_params(params)$w_max > 500] <- \"Other\" gear_params(params_multi_gear)$gear <- gear gear_params(params_multi_gear) ##                     gear species   sel_func knife_edge_size catchability ## 1, Industrial Industrial       1 knife_edge       0.4456255            1 ## 2, Industrial Industrial       2 knife_edge       1.2559432            1 ## 3, Industrial Industrial       3 knife_edge       3.5397289            1 ## 4, Industrial Industrial       4 knife_edge       9.9763116            1 ## 5, Other           Other       5 knife_edge      28.1170663            1 ## 6, Other           Other       6 knife_edge      79.2446596            1 ## 7, Other           Other       7 knife_edge     223.3417961            1 ## 8, Other           Other       8 knife_edge     629.4627059            1 ## 9, Other           Other       9 knife_edge    1774.0669462            1 ## 10, Other          Other      10 knife_edge    5000.0000000            1 sim_multi_gear <- project(params_multi_gear, t_max = 75, effort = 0.5) plot(sim_multi_gear) sim_multi_gear <- project(params_multi_gear, t_max = 75,     effort = c(Industrial = 0.75, Other = 0)) plot(sim_multi_gear)"},{"path":"https://sizespectrum.org/mizer/articles/trait_model.html","id":"the-impact-of-industrial-fishing","dir":"Articles","previous_headings":"","what":"The impact of industrial fishing","title":"The Trait-Based Model","text":"previous section set ran model industrial fishery operating selected smaller species. can now answer question: impact fishery? can compare abundances fished (sim_industrial1) unfished (sim_industrial0) cases: plot relative abundances:  shows another trophic cascade, although time one driven fishing species midrange part spectrum, largest individuals . trophic cascade acts directions. cascade upwards driven lack food predators leading smaller realised maximum sizes. cascade downwards mechanism fishing large fish, combination predation mortality food limitation. next section explains setup general multispecies model.","code":"sim_industrial0 <- project(params_multi_gear, t_max = 75, effort = 0) sim_industrial1 <- project(params_multi_gear, t_max = 75,     effort = c(Industrial = 0.75, Other = 0)) total_abund0 <- apply(finalN(sim_industrial0), 2, sum) total_abund1 <- apply(finalN(sim_industrial1), 2, sum) relative_abundance <- total_abund1 / total_abund0 plot(x = w(params), y = relative_abundance, log = \"xy\", type = \"n\",       xlab = \"Size [g]\", ylab = \"Relative abundance\", ylim = c(0.1, 10)) lines(x = w(params), y = relative_abundance) lines(x = c(min(w(params)), max(w(params))), y = c(1, 1), lty = 2)"},{"path":"https://sizespectrum.org/mizer/articles/working_with_git.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"Working with git and GitHub","text":"initially takes bit effort get hang works. Therefore take little exercise see create feature branch, make change mizer file, commit file push GitHub, make pull request contribute change back core mizer code. change making consists adding name list people set fork mizer. assume set working environment checked mizer fork local computer described section Setting working environment mizer developer guide. yet read section, please now follow instructions continuing tutorial.","code":""},{"path":"https://sizespectrum.org/mizer/articles/working_with_git.html","id":"creating-a-branch","dir":"Articles","previous_headings":"","what":"Creating a branch","title":"Working with git and GitHub","text":"Initially “master” branch repository. code branch repository perfect copy code master branch main mizer repository https://github.com/sizespectrum/mizer. always keep way commit changes branch. development work branches branched master branch. start working feature bug fix, start new branch name suggestive feature fix. example, adding info list people set fork mizer, let’s call branch “add_my_info”. dialog box enter name new branch: “add_my_info”. Leave remote “origin” make sure “Sync branch remote” checkbox ticked. means new branch created local repository also GitHub repository. Click “Create”. now new branch repository, far branch contains exactly content master branch branched .","code":""},{"path":"https://sizespectrum.org/mizer/articles/working_with_git.html","id":"editing-a-file","dir":"Articles","previous_headings":"","what":"Editing a file","title":"Working with git and GitHub","text":"Next make edit file. “Files” tab RStudio, navigate “vignette” subdirectory click name “developer_vignette.Rmd”. open file Source editor pane. file source file developer guide, written R Markdown format. find subheading “People mizer fork” towards bottom outline. Clicking move corresponding section file. can now add another bullet point name interests. R Markdown file, can compile clicking “Knit” button editor toolbar. also save changes disk. short resulting html file displayed RStudio viewer allow check formatting bullet point. made changes actual R code mizer, course also rebuild mizer new code clicking “Install Restart” “Build” pane RStudio test , particular run automated unit tests hitting Ctrl+Shift+T.","code":""},{"path":"https://sizespectrum.org/mizer/articles/working_with_git.html","id":"committing-your-changes","dir":"Articles","previous_headings":"","what":"Committing your changes","title":"Working with git and GitHub","text":"blue M left file vignettes/developer_vignette.Rmd indicates file modified hard disc. files question mark files project directory part repository. now tick file want commit repository. screenshot file vignettes/developer_vignette.Rmd already selected consequence, lower half pop-window shows modifications made file. see additions green. top right pop-window enter commit message allow others later understand purpose commit. really useful put meaningful message . first time make commit new branch, may want write extended commit message explains new branch . happy everything, hit “Commit” button. Now changes forever saved history local repository.","code":""},{"path":"https://sizespectrum.org/mizer/articles/working_with_git.html","id":"pushing-and-pulling","dir":"Articles","previous_headings":"","what":"Pushing and pulling","title":"Working with git and GitHub","text":"far committed changes local repository computer. changes yet synchronised repository GitHub. , click “Push” button toolbar “Git” pane, one looks like arrow. window pop confirm push worked alright. can close window. may several computers work can local repository every one . scenario, may pushed changes onto GitHub repository another computer. able push new changes current computer pulled changes onto current computer. hitting “Pull” button looks like arrow right next “Push” button. incorporate changes GitHub local repository generally go smoothly. case edited lines file different machines can run conflicts git can resolve automatically. order avoid conflicts, pull push frequently.","code":""},{"path":"https://sizespectrum.org/mizer/articles/working_with_git.html","id":"making-a-pull-request","dir":"Articles","previous_headings":"","what":"Making a pull request","title":"Working with git and GitHub","text":"feature developed tested, want merge master branch upstream repository https://github.com/sizespectrum/mizer. can however push changes directly repository. Instead create GitHub pull request. get code review another mizer developer one developers write access main repository merges changes. Due extra code review changes integrated core mizer code, hesitant making pull requests. case anything wrong changes, get friendly feedback developers. can make changes commit branch pull request automatically get updated. pull request easy create using GitHub web interface: Go home page forked repository GitHub Select branch via “Branch” drop-. Click “New pull request” button next drop-. Go ahead create pull request “add_my_info” branch. pull request reviewed accepted developer changes thus merged upstream master branch, can delete development branch. delete button GitHub delete branch (example page listing branches). also need delete branch separately local repository issuing terminal, `add_my_info’ name development branch. addition may want tell local repository remote branch disappeared well: Otherwise stay RStudio’s list remote branches.","code":"git branch -d add_my_info git remote prune origin"},{"path":"https://sizespectrum.org/mizer/articles/working_with_git.html","id":"merging-from-upstream","dir":"Articles","previous_headings":"","what":"Merging from upstream","title":"Working with git and GitHub","text":"pull request, pull request anyone else mizer fork, merged upstream repository, master branch fork longer sync upstream master branch. want merge upstream changes master branch. can use “Terminal” pane RStudio, execute following git commands: , unless locally changed line file someone else changed upstream repository, merging automatic. push merged master branch back GitHub repository “Push” button. get error attempting fetch upstream upstream repository may yet set repository. can check list upstream, execute command try . first time go steps, think never grow like git. lot fuss. circuitous route change make master branch GitHub repository: editor harddrive development branch local repository via Commit local repository GitHub repository via Push GitHub repository main mizer repository via Pull Request main mizer repository local master branch via merge local master branch master branch GitHub repository via Push best system software developers come allow many people collaborate code. may one development branch may working several features time features still waiting pull request merged. case, merging upstream changes master branch, may also want merge master branch development branches. just go development branch ","code":"git fetch upstream git checkout master git merge upstream/master git remote -v git remote add upstream https://github.com/sizespectrum/mizer.git git merge master"},{"path":"https://sizespectrum.org/mizer/articles/working_with_git.html","id":"people-with-a-mizer-fork","dir":"Articles","previous_headings":"","what":"People with a mizer fork","title":"Working with git and GitHub","text":"information people made mizer fork. name list , please add , together bit info interests. make edit commit contribute back explained section Working git. Gustav Delius Maintainer mizer package. Interested building mizer community developing mizer code user-friendly possible time sufficiently flexible extendable new research. Mariella Canales Interested multispecies size-based analysis pelagic fish community Northern Chile.","code":""},{"path":"https://sizespectrum.org/mizer/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Gustav Delius. Maintainer, author, copyright holder. Finlay Scott. Author, copyright holder. Julia Blanchard. Author, copyright holder. Ken Andersen. Author, copyright holder. Richard Southwell. Contributor, copyright holder.","code":""},{"path":"https://sizespectrum.org/mizer/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Delius G, Scott F, Blanchard J, Andersen K (2026). mizer: Dynamic Multi-Species Size Spectrum Modelling. R package version 2.5.4.9125, https://sizespectrum.org/mizer/.","code":"@Manual{,   title = {mizer: Dynamic Multi-Species Size Spectrum Modelling},   author = {Gustav Delius and Finlay Scott and Julia Blanchard and Ken Andersen},   year = {2026},   note = {R package version 2.5.4.9125},   url = {https://sizespectrum.org/mizer/}, }"},{"path":[]},{"path":"https://sizespectrum.org/mizer/extension-chain-implementation-plan.html","id":"status","dir":"","previous_headings":"","what":"Status","title":"Extension Chain Implementation Plan","text":"Replacement implementation plan moving mizer extensions rates_funcs-style single-function overrides composable extension chain. design keeps MizerParams MizerSim core S4 containers, uses dynamically registered S4 subclasses expose S3 class order. Rate calculation hooks become S3 generics, extension packages compose calling NextMethod().","code":""},{"path":"https://sizespectrum.org/mizer/extension-chain-implementation-plan.html","id":"key-decisions","dir":"","previous_headings":"","what":"Key Decisions","title":"Extension Chain Implementation Plan","text":"one maximal extension chain per R session. extension vector order S3 dispatch order, outermost innermost. registered session can also handle suffix subchains maximal chain. Base mizer objects extensions remain valid extension session. MizerSim get @extensions slot. chain always read sim@params@extensions. Extension subclasses marker classes dispatch . must add extra slots. Saved objects serialised base MizerParams MizerSim objects can read dynamic subclass definitions exist. rates_funcs remains transition, new S3 dispatch path architecture extension packages use.","code":""},{"path":"https://sizespectrum.org/mizer/extension-chain-implementation-plan.html","id":"extension-vector-semantics","dir":"","previous_headings":"","what":"Extension Vector Semantics","title":"Extension Chain Implementation Plan","text":"extension chain named character vector: names logical extension identifiers params-side S4 class names. values package requirements installation specifications. order left--right dispatch order: means: call projectEncounter.mizerExtB() NextMethod() calls projectEncounter.mizerExtA() NextMethod() calls projectEncounter.MizerParams() achieve , class definitions built right left: -memory object class mizerExtB, S3 class vector seen UseMethod() effectively:","code":"c(mizerExtB = \"1.2.0\", mizerExtA = \"0.4.1\") c(mizerExtB = \"1.2.0\", mizerExtA = \"0.4.1\") mizerExtB contains mizerExtA contains MizerParams c(\"mizerExtB\", \"mizerExtA\", \"MizerParams\")"},{"path":"https://sizespectrum.org/mizer/extension-chain-implementation-plan.html","id":"subchains","dir":"","previous_headings":"","what":"Subchains","title":"Extension Chain Implementation Plan","text":"active session chain maximal chain. valid object chain either: identical active session chain, suffix active session chain, empty. example, session chain : object chains valid session: valid: supports intended use case one model uses extra outer extension another model session uses common inner extension, extensions. registerExtensions() may also grow session chain prepending outer extensions. example: allowed first chain suffix second. Appending, reordering, removing inner extensions, changing version/source values error.","code":"c(mizerExtB = \"1.2.0\", mizerExtA = \"0.4.1\") c(mizerExtB = \"1.2.0\", mizerExtA = \"0.4.1\") c(mizerExtA = \"0.4.1\") character() c(mizerExtB = \"1.2.0\") c(otherExt = \"1.0.0\", mizerExtA = \"0.4.1\") registerExtensions(c(mizerExtA = \"0.4.1\")) registerExtensions(c(mizerExtB = \"1.2.0\", mizerExtA = \"0.4.1\"))"},{"path":"https://sizespectrum.org/mizer/extension-chain-implementation-plan.html","id":"session-state","dir":"","previous_headings":"","what":"Session State","title":"Extension Chain Implementation Plan","text":"Add package-private environment: fields: .mizerSession$extensions: maximal active chain. empty session chain represented character(). params-side sim-side class names derived vector needed. separate cached class lists required.","code":".mizerSession <- new.env(parent = emptyenv())"},{"path":"https://sizespectrum.org/mizer/extension-chain-implementation-plan.html","id":"class-naming","dir":"","previous_headings":"","what":"Class Naming","title":"Extension Chain Implementation Plan","text":"Params-side class names extension identifiers: Sim-side class names must distinct params-side class names S4 class names global. Use deterministic helper: mizerExtA, sim class mizerExtASim. Extension classes must add slots. exist provide S3 dispatch classes. Extension-specific persistent state live existing mizer slots, other_params, other_dynamics, other_encounter, other_mort, metadata, agreed extension storage. Adding slots make coercion base objects, suffix subchains, save/load, old-object upgrade semantics much complicated.","code":"mizerExtA mizerExtB simExtensionClass <- function(extension) {     paste0(extension, \"Sim\") }"},{"path":[]},{"path":"https://sizespectrum.org/mizer/extension-chain-implementation-plan.html","id":"registerextensions","dir":"","previous_headings":"Public And Internal API","what":"registerExtensions()","title":"Extension Chain Implementation Plan","text":"Suggested API: Responsibilities: validate extension vector. check required extension namespaces available. optionally install missing extension packages install = TRUE. load extension namespaces S3 methods registered. define params sim S4 subclass chains. update maximal session chain. allow identical calls, suffix calls, prepending outer extensions. reject incompatible chains clear restart-session message. return maximal active chain invisibly. Implementation sketch:","code":"registerExtensions <- function(extensions, install = FALSE) { } registerExtensions <- function(extensions, install = FALSE) {     extensions <- validateExtensionsVector(extensions)      old <- getRegisteredExtensions()     relation <- compareExtensionChains(old, extensions)      if (relation == \"identical\" || relation == \"new_is_suffix\") {         ensureExtensionNamespaces(extensions, install = install)         return(invisible(old))     }      if (relation == \"old_is_suffix\" || length(old) == 0) {         ensureExtensionNamespaces(extensions, install = install)         defineExtensionClasses(extensions)         setRegisteredExtensions(extensions)         return(invisible(extensions))     }      stop(         \"A different extension chain is already active in this session. \",         \"Please restart R before registering this chain.\"     ) }"},{"path":"https://sizespectrum.org/mizer/extension-chain-implementation-plan.html","id":"getregisteredextensions","dir":"","previous_headings":"Public And Internal API","what":"getRegisteredExtensions()","title":"Extension Chain Implementation Plan","text":"Exported internal helper returning maximal active chain: Extension packages can use copy active chain params@extensions.","code":"getRegisteredExtensions <- function() {     .mizerSession$extensions %||% character() }"},{"path":"https://sizespectrum.org/mizer/extension-chain-implementation-plan.html","id":"coercetoextensionclass","dir":"","previous_headings":"Public And Internal API","what":"coerceToExtensionClass()","title":"Extension Chain Implementation Plan","text":"Export helper extension-package constructors. Suggested API: Behaviour: MizerParams, coerce first class params@extensions. MizerSim, coerce according sim@params@extensions. empty chain, coerce base class. require object chain valid active session. suffix subchain, coercion goes top class subchain, top class maximal session chain.","code":"coerceToExtensionClass <- function(object, extensions = objectExtensions(object)) { }"},{"path":"https://sizespectrum.org/mizer/extension-chain-implementation-plan.html","id":"assertextensionchain","dir":"","previous_headings":"Public And Internal API","what":"assertExtensionChain()","title":"Extension Chain Implementation Plan","text":"Internal helper called public entry points old-object upgrades. Rules MizerParams: params@extensions must empty suffix active session chain. params@extensions non-empty compatible session chain active, error ask user call registerExtensions() use readParams(). object must inherit top class @extensions chain. base objects empty @extensions valid session. Rules MizerSim: apply checks sim@params. sim@params@extensions non-empty, sim object must inherit corresponding sim-side top class. base MizerSim objects whose params empty @extensions valid session. put session-chain checks S4 validity functions. S4 validity continue check structural object validity . Session checks belong validParams(), validSim(), readParams(), project(), public entry points.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/extension-chain-implementation-plan.html","id":"creating-params-objects","dir":"","previous_headings":"Object Lifecycle","what":"Creating Params Objects","title":"Extension Chain Implementation Plan","text":"Core mizer constructors can keep returning plain MizerParams objects. Extension packages follow pattern: extension package creates params suffix subchain, set params@extensions suffix explicitly call coerceToExtensionClass().","code":"params <- newMultispeciesParams(...) params@extensions <- getRegisteredExtensions() params <- coerceToExtensionClass(params)"},{"path":"https://sizespectrum.org/mizer/extension-chain-implementation-plan.html","id":"creating-sim-objects","dir":"","previous_headings":"Object Lifecycle","what":"Creating Sim Objects","title":"Extension Chain Implementation Plan","text":"MizerSim() project() construct base sim object first coerce according sim@params@extensions. keeps sim dispatch aligned params object produced simulation.","code":"sim <- methods::new(\"MizerSim\", ...) sim <- coerceToExtensionClass(sim)"},{"path":"https://sizespectrum.org/mizer/extension-chain-implementation-plan.html","id":"saving-params-objects","dir":"","previous_headings":"Object Lifecycle","what":"Saving Params Objects","title":"Extension Chain Implementation Plan","text":"saveParams() : call validParams(). check required extension packages custom functions now. coerce object plain MizerParams. preserve params@extensions. call saveRDS(). avoids saved files depending dynamic S4 subclass definitions.","code":""},{"path":"https://sizespectrum.org/mizer/extension-chain-implementation-plan.html","id":"reading-params-objects","dir":"","previous_headings":"Object Lifecycle","what":"Reading Params Objects","title":"Extension Chain Implementation Plan","text":"readParams() : call readRDS() without immediately calling validParams(). upgrade old objects needed. inspect params@extensions. chain non-empty, call registerExtensions(params@extensions). require saved chain compatible active session chain. coerce object top class chain. call validParams(). return coerced object. readParams() silently install packages default. installation desired, add explicit argument : pass registerExtensions(..., install = install_extensions).","code":"readParams(file, install_extensions = FALSE)"},{"path":"https://sizespectrum.org/mizer/extension-chain-implementation-plan.html","id":"saving-and-reading-sim-objects","dir":"","previous_headings":"Object Lifecycle","what":"Saving And Reading Sim Objects","title":"Extension Chain Implementation Plan","text":"mizer adds first-class sim save/read helpers later, mirror params lifecycle: save plain MizerSim. preserve sim@params@extensions. read, register sim@params@extensions, coerce params, coerce sim, validate.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/extension-chain-implementation-plan.html","id":"principle","dir":"","previous_headings":"Dispatch Refactor","what":"Principle","title":"Extension Chain Implementation Plan","text":"Every extension point become S3 generic whose first argument MizerParams MizerSim object. Base mizer provides methods MizerParams MizerSim. Extension packages provide methods extension classes call NextMethod() compose.","code":""},{"path":"https://sizespectrum.org/mizer/extension-chain-implementation-plan.html","id":"encounter-example","dir":"","previous_headings":"Dispatch Refactor","what":"Encounter Example","title":"Extension Chain Implementation Plan","text":": dispatch :","code":"projectEncounter <- function(params, n, n_pp, n_other, t = 0, ...) {     UseMethod(\"projectEncounter\") }  projectEncounter.MizerParams <- function(params, n, n_pp, n_other, t = 0, ...) {     mizerEncounter(params, n = n, n_pp = n_pp, n_other = n_other, t = t, ...) }  projectEncounter.mizerExtA <- function(params, n, n_pp, n_other, t = 0, ...) {     encounter <- NextMethod()     encounter + extraEncounter(params, n, n_pp, n_other, t) }  projectEncounter.mizerExtB <- function(params, n, n_pp, n_other, t = 0, ...) {     encounter <- NextMethod()     encounter * seasonalMultiplier(params, t) } params@extensions <- c(mizerExtB = \"1.2.0\", mizerExtA = \"0.4.1\") mizerExtB -> mizerExtA -> MizerParams"},{"path":"https://sizespectrum.org/mizer/extension-chain-implementation-plan.html","id":"rates-orchestrator","dir":"","previous_headings":"Dispatch Refactor","what":"Rates Orchestrator","title":"Extension Chain Implementation Plan","text":"Keep orchestration core mizer: Extensions may override projectRates(), developer documentation recommend overriding lower-level generics possible.","code":"projectRates <- function(params, n, n_pp, n_other, t = 0, effort, ...) {     UseMethod(\"projectRates\") }  projectRates.MizerParams <- function(params, n, n_pp, n_other,                                      t = 0, effort, ...) {     r <- list()     r$encounter <- projectEncounter(params, n, n_pp, n_other, t = t, ...)     r$feeding_level <- projectFeedingLevel(         params, n, n_pp, n_other,         t = t, encounter = r$encounter, ...     )     r$e <- projectEReproAndGrowth(         params, n, n_pp, n_other,         t = t,         encounter = r$encounter,         feeding_level = r$feeding_level,         ...     )     r }"},{"path":"https://sizespectrum.org/mizer/extension-chain-implementation-plan.html","id":"first-generics-to-introduce","dir":"","previous_headings":"Dispatch Refactor","what":"First Generics To Introduce","title":"Extension Chain Implementation Plan","text":"Start simulation hot path: projectRates projectEncounter projectFeedingLevel projectEReproAndGrowth projectERepro projectEGrowth projectPredRate projectPredMort projectFMort projectMort projectDiffusion projectRDI projectRDD projectResourceMort projectResource hooks component dynamics API stable switch user-facing getters call generics: getRates getEncounter getFeedingLevel getPredRate getPredMort getFMort getMort getERepro getEGrowth getRDI getRDD getResourceMort keeps simulation diagnostic calculations consistent.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/extension-chain-implementation-plan.html","id":"phase-1","dir":"","previous_headings":"Interaction With rates_funcs","what":"Phase 1","title":"Extension Chain Implementation Plan","text":"keep params@rates_funcs. add extension-chain infrastructure. add S3 generics one pilot rate, preferably encounter. base S3 methods may delegate function named rates_funcs.","code":""},{"path":"https://sizespectrum.org/mizer/extension-chain-implementation-plan.html","id":"phase-2","dir":"","previous_headings":"Interaction With rates_funcs","what":"Phase 2","title":"Extension Chain Implementation Plan","text":"convert full projectRates() pipeline. switch project_simple() call projectRates() instead rates_fns$Rates(). keep rates_funcs compatibility layer single-function overrides.","code":""},{"path":"https://sizespectrum.org/mizer/extension-chain-implementation-plan.html","id":"phase-3","dir":"","previous_headings":"Interaction With rates_funcs","what":"Phase 3","title":"Extension Chain Implementation Plan","text":"switch user-facing getters S3 path. document setRateFunction() legacy simple, non-composable overrides. decide later whether rates_funcs remains permanently escape hatch. mechanisms active transition, S3 path authoritative simulation loop. Base S3 methods can still honour rates_funcs.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/extension-chain-implementation-plan.html","id":"new-files","dir":"","previous_headings":"Files To Change","what":"New Files","title":"Extension Chain Implementation Plan","text":"session-state environment. registerExtensions(). getRegisteredExtensions(). coerceToExtensionClass(). class-name helpers. chain comparison helpers. validation helpers. vector validation. class creation. identical registration. suffix registration. prepending outer extensions. incompatible-chain errors. S3 dispatch order. NextMethod() chaining. params subchain coercion. sim subchain coercion via sim@params@extensions.","code":""},{"path":"https://sizespectrum.org/mizer/extension-chain-implementation-plan.html","id":"existing-files","dir":"","previous_headings":"Files To Change","what":"Existing Files","title":"Extension Chain Implementation Plan","text":"add R/registerExtensions.R Collate:. regenerate devtools::document(). edit directly. document @extensions order suffix-subchain semantics. keep S4 validity structural. call extension-chain checks validParams.MizerParams(). document sim extension state lives sim@params@extensions. coerce constructed sims correct sim subclass. call extension-chain checks validSim.MizerSim(). save base-class params. read validation, register @extensions, coerce, validate. ensure project() validates extension compatibility early. ensure created MizerSim objects coerced sim@params@extensions. later replace rates_fns hot-path setup S3 dispatch. convert base rate implementations S3 methods. preserve existing computational kernels possible. rework getters call project-rate generics. preserve return classes ArraySpeciesBySize. document new developer-facing extension model. reposition setRateFunction() legacy simple override API. preserve @extensions old-object upgrades. avoid coercing extension objects base except save paths. describe new extension chain migration path.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/extension-chain-implementation-plan.html","id":"extension-vector","dir":"","previous_headings":"Validation Details","what":"Extension Vector","title":"Extension Chain Implementation Plan","text":"validateExtensionsVector() check: value character vector. names present, non-empty, unique strings. names syntactically valid S4 class names. values length-one strings NA_character_. values common extension names match exactly comparing chains.","code":""},{"path":"https://sizespectrum.org/mizer/extension-chain-implementation-plan.html","id":"chain-comparison","dir":"","previous_headings":"Validation Details","what":"Chain Comparison","title":"Extension Chain Implementation Plan","text":"Implement helpers: Comparison must use names values. extension name different version/source incompatible.","code":"isSuffixChain <- function(candidate, chain) { }  compareExtensionChains <- function(old, new) { }"},{"path":"https://sizespectrum.org/mizer/extension-chain-implementation-plan.html","id":"class-definitions","dir":"","previous_headings":"Validation Details","what":"Class Definitions","title":"Extension Chain Implementation Plan","text":"defineExtensionClasses(extensions) : build classes right left. define params sim classes parallel. define marker subclasses , additional slots. class already exists, verify contains expected parent. error immediately class exists incompatible definition. Pseudo-code:","code":"defineExtensionClasses <- function(extensions) {     parent_params <- \"MizerParams\"     parent_sim <- \"MizerSim\"      for (extension in rev(names(extensions))) {         defineOrCheckClass(extension, parent_params)         parent_params <- extension          sim_class <- simExtensionClass(extension)         defineOrCheckClass(sim_class, parent_sim)         parent_sim <- sim_class     } }"},{"path":"https://sizespectrum.org/mizer/extension-chain-implementation-plan.html","id":"object-checks","dir":"","previous_headings":"Validation Details","what":"Object Checks","title":"Extension Chain Implementation Plan","text":"MizerParams: params@extensions must empty suffix maximal session chain. class must MizerParams empty chain. class must inherit names(params@extensions)[1] non-empty chain. MizerSim: inspect sim@params@extensions. class must MizerSim empty params chain. class must inherit simExtensionClass(names(sim@params@extensions)[1]) non-empty params chain.","code":""},{"path":"https://sizespectrum.org/mizer/extension-chain-implementation-plan.html","id":"testing-strategy","dir":"","previous_headings":"","what":"Testing Strategy","title":"Extension Chain Implementation Plan","text":"Use unique fake extension class names every test file, example adding random process-specific suffix. S4 class definitions persist R session cleaned reliably.","code":""},{"path":"https://sizespectrum.org/mizer/extension-chain-implementation-plan.html","id":"registration-tests","dir":"","previous_headings":"Testing Strategy","what":"Registration Tests","title":"Extension Chain Implementation Plan","text":"empty registration leaves chain empty defines classes. non-empty registration defines expected params hierarchy. non-empty registration defines expected sim hierarchy. repeated identical registration -op. registering suffix active chain -op. registering superchain prepending outer extensions updates maximal chain. registering incompatible chain errors. changing value already-known extension errors.","code":""},{"path":"https://sizespectrum.org/mizer/extension-chain-implementation-plan.html","id":"dispatch-tests","dir":"","previous_headings":"Testing Strategy","what":"Dispatch Tests","title":"Extension Chain Implementation Plan","text":"fake base method returns \"base\". fake extension appends \"\" around NextMethod(). fake extension B appends \"B\" around NextMethod(). full chain dispatch follows vector order. suffix object dispatch starts suffix top class. base object dispatch reaches base method.","code":""},{"path":"https://sizespectrum.org/mizer/extension-chain-implementation-plan.html","id":"lifecycle-tests","dir":"","previous_headings":"Testing Strategy","what":"Lifecycle Tests","title":"Extension Chain Implementation Plan","text":"extension-aware params coerced top class chain. extension-aware sims coerced according sim@params@extensions. saveParams() writes base MizerParams object preserved @extensions. readParams() registers coerces saved extension params. readParams() accepts suffix chains already-registered session. readParams() rejects incompatible chains.","code":""},{"path":"https://sizespectrum.org/mizer/extension-chain-implementation-plan.html","id":"backwards-compatibility-tests","dir":"","previous_headings":"Testing Strategy","what":"Backwards Compatibility Tests","title":"Extension Chain Implementation Plan","text":"existing models empty @extensions behave unchanged. old saved params read correctly. existing rates_funcs overrides still work transition. tests assign params@rates_funcs keep passing explicit deprecation phase.","code":""},{"path":"https://sizespectrum.org/mizer/extension-chain-implementation-plan.html","id":"implementation-order","dir":"","previous_headings":"","what":"Implementation Order","title":"Extension Chain Implementation Plan","text":"Add R/registerExtensions.R tests. Add R/registerExtensions.R DESCRIPTION Collate:. Update MizerParams MizerSim documentation extension semantics. Implement params sim coercion helpers. Add extension-chain checks validParams() validSim(). Update saveParams() readParams() lifecycle. Add pilot S3 rate generic encounter. Convert full simulation rate pipeline. Switch project_simple() project() new path. Switch user-facing getters generic path. Update extension developer docs NEWS.md. Run devtools::document(), targeted tests, broader tests.","code":""},{"path":"https://sizespectrum.org/mizer/extension-chain-implementation-plan.html","id":"immediate-first-milestone","dir":"","previous_headings":"","what":"Immediate First Milestone","title":"Extension Chain Implementation Plan","text":"Implement infrastructure : registerExtensions() chain comparison class definition params/sim coercion saveParams() readParams() support tests proving full-chain, suffix-chain, base-object lifecycles refactor rate functions first milestone. lifecycle class semantics locked changing simulation hot path.","code":""},{"path":"https://sizespectrum.org/mizer/index.html","id":"installation","dir":"","previous_headings":"","what":"Installation","title":"Multi-Species Dynamic Size Spectrum Modelling in R","text":"package CRAN therefore available R’s built-package manager.","code":"# Install latest released version from CRAN install.packages(\"mizer\")  # Alternatively, install the development version from GitHub remotes::install_github(\"sizespectrum/mizer\")"},{"path":"https://sizespectrum.org/mizer/index.html","id":"example","dir":"","previous_headings":"","what":"Example","title":"Multi-Species Dynamic Size Spectrum Modelling in R","text":"following code loads mizer package, loads information species North Sea comes example package, sets parameters mizer model, runs simulation 10 years. results simulation can analysed, example via plots:  See accompanying Get started page details package works, including detailed examples.","code":"library(mizer) params <- newMultispeciesParams(NS_species_params, NS_interaction) sim <- project(params, t_max = 10, effort = 0) plot(sim)"},{"path":"https://sizespectrum.org/mizer/index.html","id":"dynamic-multi-species-size-spectrum-model","dir":"","previous_headings":"","what":"Dynamic multi-species size-spectrum model","title":"Multi-Species Dynamic Size Spectrum Modelling in R","text":"Size-based multi-species models important fisheries science provide realistic accurate representation dynamics fish populations ecosystems live. contrast traditional single-species models, consider single fish stock isolated unit, size-based multi-species models account fact fish populations part larger ecosystem interact species predation, competition, ecological processes. One key advantages size-based multi-species models provide comprehensive understanding impacts fishing fish populations ecosystems. considering size distribution different fish species, models can capture effects fishing target non-target species, different life stages species. particularly important species caught bycatch indirectly affected fishing changes food web. Another advantage size-based multi-species models can used investigate effects environmental changes perturbations fish populations ecosystems. example, models can used explore impacts climate change distribution abundance fish populations, effects habitat loss pollution fish communities. mizer mechanistic model, can deduce complex population-level changes interested simpler changes physiological rates feeding interactions individual fish species. Overall, size-based multi-species models provide comprehensive realistic framework understanding dynamics fish populations ecosystems, developing effective fisheries management strategies account complex interactions among species environment.  mizer model captures interactions species. growth rates fish determined availability prey death rates influenced abundance predators, well fishing. model starts individual-level physiological rates species, well predation preferences, deduces population-level dynamics . Thus quantities like fish diets fisheries yields emerge dynamically can projected future. mizer model tracks size individuals grow several orders magnitude egg size maximum size, correctly tracks ontogenetic diet shifts. individual typically moves several trophic levels life time. often correctly captured multi-species models. mizer model can set small amount information uses allometric scaling relations size-based feeding rules choose sensible defaults unknown parameters. Setting new multi-species mizer model two-step process, similar may familiar Ecopath Ecosim: First one calibrates model describe steady state agreement current observations (Ecopath), one chooses additional parameters determine dynamics away steady state (Ecosim). model can used investigate future effects changes fishing policy environmental stressors.","code":""},{"path":"https://sizespectrum.org/mizer/index.html","id":"a-strong-theoretical-basis","dir":"","previous_headings":"","what":"A strong theoretical basis","title":"Multi-Species Dynamic Size Spectrum Modelling in R","text":"One big advantage mizer model based strong mathematical foundation. allows degree priori understanding behaviour model absent many multi-species models. theoretical foundation well presented book “Fish Ecology, Evolution, Exploitation” Ken Andersen. interesting think marine ecosystem transport system moves biomass size primary producers (mostly unicellular plankton) sizes fish humans like consume. fish grows egg size maturity eating smaller individuals like car biomass highway. yield fisheries depend traffic flowing smoothly without traffic jams. analogy road traffic may helpful:  road traffic, traffic density gets high section highway, drivers slow , leads pile-producing even higher traffic density, leading slow-potentially vicious cycle known traffic jam. Traffic management ignores traffic density affects traffic speed fails. Luckily mathematical understanding transport equations made practical contributions managing traffic ways produce smoother traffic flow hence higher throughput. Mizer implements transport equations marine ecosystems. potential traffic jams : example high density predators particular size, preference prey particular smaller size, due competition prey growth predators slows , leading pile-leads depletion prey, leading slow-, potentially vicious cycle. Luckily, natural ecosystem evolved facilitate smooth traffic biomass highway, resultant high productivity. state characterised approximate power-law shape biomass size spectrum. purpose mizer allow us understand various stressors, like fishing climate change, affect size spectrum hence flow biomass productivity resilience marine ecosystem. Mizer allows us investigate size-based fisheries management strategies can used keep ecosystem close natural productive state.","code":""},{"path":"https://sizespectrum.org/mizer/reference/ArraySpeciesBySize.html","id":null,"dir":"Reference","previous_headings":"","what":"S3 class for species x size rate arrays — ArraySpeciesBySize","title":"S3 class for species x size rate arrays — ArraySpeciesBySize","text":"Many functions mizer return two-dimensional arrays (species x size) holding rates like encounter rate, feeding level, growth rate, mortality etc. ArraySpeciesBySize class wraps arrays provide convenient print(), summary(), plot(), .data.frame() methods.","code":""},{"path":"https://sizespectrum.org/mizer/reference/ArraySpeciesBySize.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"S3 class for species x size rate arrays — ArraySpeciesBySize","text":"","code":"ArraySpeciesBySize(x, value_name = NULL, units = NULL, params = NULL)"},{"path":"https://sizespectrum.org/mizer/reference/ArraySpeciesBySize.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"S3 class for species x size rate arrays — ArraySpeciesBySize","text":"x matrix (species x size). value_name string giving human-readable name value. units string giving units (e.g. \"g/year\", \"1/year\"). params MizerParams object. Used species colours, linetypes, size ranges plot() method.","code":""},{"path":"https://sizespectrum.org/mizer/reference/ArraySpeciesBySize.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"S3 class for species x size rate arrays — ArraySpeciesBySize","text":"ArraySpeciesBySize object (inherits matrix array).","code":""},{"path":"https://sizespectrum.org/mizer/reference/ArraySpeciesBySize.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"S3 class for species x size rate arrays — ArraySpeciesBySize","text":"ArraySpeciesBySize object behaves just like regular matrix arithmetic operations subsetting. carries two lightweight attributes: value_name – human-readable name value (e.g. \"Encounter rate\"). units – units rate (e.g. \"g/year\").","code":""},{"path":"https://sizespectrum.org/mizer/reference/ArraySpeciesBySize.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"S3 class for species x size rate arrays — ArraySpeciesBySize","text":"","code":"# \\donttest{ enc <- getEncounter(NS_params) is.ArraySpeciesBySize(enc) #> [1] TRUE summary(enc) #> Encounter rate [g/year]  #> 12 species x 100 sizes #>  #>  Species       Min      Mean       Max #>    Sprat 0.2992076  2929.178  39573.31 #>  Sandeel 0.4528175  3768.983  45507.81 #>   N.pout 0.5019776 16840.828 147886.62 #>  Herring 0.5752333  6241.503  80375.40 #>      Dab 0.4916095 24004.843 266704.99 #>  Whiting 0.4362525 17348.364 137539.48 #>     Sole 0.3646753 12087.308 148784.12 #>  Gurnard 0.3122260 11327.057 135351.68 #>   Plaice 0.2323659 11800.440 113242.16 #>  Haddock 0.5964130 24932.923 334719.58 #>      Cod 0.9658343 52646.610 436916.91 #>   Saithe 0.7709631 16377.321 187775.81 # }"},{"path":"https://sizespectrum.org/mizer/reference/ArraySpeciesByTime.html","id":null,"dir":"Reference","previous_headings":"","what":"S3 class for time x species arrays — ArraySpeciesByTime","title":"S3 class for time x species arrays — ArraySpeciesByTime","text":"functions mizer return two-dimensional arrays (time x species) holding quantities like biomass, abundance, yield rate time. ArraySpeciesByTime class wraps arrays provide convenient print(), summary(), plot(), .data.frame() methods.","code":""},{"path":"https://sizespectrum.org/mizer/reference/ArraySpeciesByTime.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"S3 class for time x species arrays — ArraySpeciesByTime","text":"","code":"ArraySpeciesByTime(x, value_name = NULL, units = NULL, params = NULL)"},{"path":"https://sizespectrum.org/mizer/reference/ArraySpeciesByTime.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"S3 class for time x species arrays — ArraySpeciesByTime","text":"x matrix (time x species). value_name string giving human-readable name value. units string giving units (e.g. \"g\", \"g/year\"). params MizerParams object holding model created values.","code":""},{"path":"https://sizespectrum.org/mizer/reference/ArraySpeciesByTime.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"S3 class for time x species arrays — ArraySpeciesByTime","text":"ArraySpeciesByTime object (inherits matrix array).","code":""},{"path":"https://sizespectrum.org/mizer/reference/ArraySpeciesByTime.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"S3 class for time x species arrays — ArraySpeciesByTime","text":"ArraySpeciesByTime object behaves just like regular matrix arithmetic operations subsetting. carries lightweight attributes: value_name – human-readable name value (e.g. \"Biomass\"). units – units value (e.g. \"g\", \"g/year\"). params – MizerParams object created values.","code":""},{"path":"https://sizespectrum.org/mizer/reference/ArraySpeciesByTime.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"S3 class for time x species arrays — ArraySpeciesByTime","text":"","code":"# \\donttest{ bio <- getBiomass(NS_sim) is.ArraySpeciesByTime(bio) #> [1] TRUE summary(bio) #> Biomass [g]  #> 44 times x 12 species #>  #>  Species          Min         Mean          Max #>    Sprat 1.879468e+10 3.974130e+10 5.654305e+10 #>  Sandeel 7.342796e+11 2.099658e+12 3.737535e+12 #>   N.pout 2.528021e+11 3.254617e+11 3.929766e+11 #>  Herring 2.152333e+11 3.944814e+11 5.243289e+11 #>      Dab 1.200040e+10 1.649782e+10 1.953451e+10 #>  Whiting 1.983459e+11 2.210414e+11 2.605881e+11 #>     Sole 9.370624e+10 1.058612e+11 1.280000e+11 #>  Gurnard 1.067321e+11 1.291922e+11 1.457401e+11 #>   Plaice 1.950539e+12 2.260909e+12 2.756253e+12 #>  Haddock 5.358152e+11 6.424916e+11 8.205085e+11 #>      Cod 2.544990e+11 3.871450e+11 1.618389e+12 #>   Saithe 6.211381e+11 7.998952e+11 1.062987e+12 # }"},{"path":"https://sizespectrum.org/mizer/reference/BevertonHoltRDD.html","id":null,"dir":"Reference","previous_headings":"","what":"Beverton Holt function to calculate density-dependent reproduction rate — BevertonHoltRDD","title":"Beverton Holt function to calculate density-dependent reproduction rate — BevertonHoltRDD","text":"Takes density-independent rates \\(R_{di}\\) egg production (calculated getRDI()) returns reduced, density-dependent reproduction rates \\(R_{dd}\\) given $$R_{dd} = R_{di} \\frac{R_{max}}{R_{di} + R_{max}}$$ \\(R_{max}\\) maximum possible reproduction rates must specified column species parameter dataframe. (quantities equation species-specific dropped species index simplicity.)","code":""},{"path":"https://sizespectrum.org/mizer/reference/BevertonHoltRDD.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Beverton Holt function to calculate density-dependent reproduction rate — BevertonHoltRDD","text":"","code":"BevertonHoltRDD(rdi, species_params, ...)"},{"path":"https://sizespectrum.org/mizer/reference/BevertonHoltRDD.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Beverton Holt function to calculate density-dependent reproduction rate — BevertonHoltRDD","text":"rdi Vector density-independent reproduction rates \\(R_{di}\\) species. species_params species parameter dataframe. Must contain column R_max holding maximum reproduction rate \\(R_{max}\\) species. ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/BevertonHoltRDD.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Beverton Holt function to calculate density-dependent reproduction rate — BevertonHoltRDD","text":"Vector density-dependent reproduction rates.","code":""},{"path":"https://sizespectrum.org/mizer/reference/BevertonHoltRDD.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Beverton Holt function to calculate density-dependent reproduction rate — BevertonHoltRDD","text":"one example density-dependence. can write function based example, returning different density-dependent reproduction rates. Three examples provided RickerRDD(), SheperdRDD(), noRDD() constantRDD(). explanation see setReproduction().","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/MizerParams-class.html","id":null,"dir":"Reference","previous_headings":"","what":"A class to hold the parameters for a size based model. — MizerParams-class","title":"A class to hold the parameters for a size based model. — MizerParams-class","text":"Although possible build MizerParams object hand recommended several constructors available. Dynamic simulations performed using project() function objects class. user never need access slots inside MizerParams object directly.","code":""},{"path":"https://sizespectrum.org/mizer/reference/MizerParams-class.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"A class to hold the parameters for a size based model. — MizerParams-class","text":"MizerParams class fairly complex large number slots, many multidimensional arrays. dimensions arrays strictly enforced MizerParams objects consistent terms number species number size classes. MizerParams class hold dynamic information, e.g. abundances harvest effort time. held MizerSim objects.","code":""},{"path":"https://sizespectrum.org/mizer/reference/MizerParams-class.html","id":"slots","dir":"Reference","previous_headings":"","what":"Slots","title":"A class to hold the parameters for a size based model. — MizerParams-class","text":"metadata list metadata information. See setMetadata(). mizer_version package version mizer (returned packageVersion(\"mizer\")) created upgraded model. extensions named vector strings describing extension chain needed run model. names extension identifiers S4 marker class names. order S3 dispatch order, outermost innermost extension. values version strings, installation specifications, NA_character_. Extension subclasses marker classes must add slots. time_created POSIXct date-time object creation time. time_modified POSIXct date-time object last modified time. w size grid fish part spectrum. increasing vector weights (grams) running smallest egg size largest maximum size. dw widths (grams) size bins w_full size grid full size range including resource spectrum. increasing vector weights (grams) running smallest resource size largest maximum size fish. last entries vector equal content w slot. dw_full width size bins full spectrum. last entries equal content dw slot. w_min_idx vector holding index weight egg size species maturity array (species x size) holds proportion individuals species size mature. enters calculation spawning stock biomass getSSB(). Set setReproduction(). psi array (species x size) holds allocation reproduction species size, \\(\\psi_i(w)\\). Changed setReproduction(). intake_max array (species x size) holds maximum intake species size. Changed setMaxIntakeRate(). search_vol array (species x size) holds search volume species size. Changed setSearchVolume(). metab array (species x size) holds metabolism species size. Changed setMetabolicRate(). mu_b array (species x size) holds external mortality rate \\(\\mu_{ext.}(w)\\). Changed setExtMort(). ext_encounter array (species x size) holds external encounter rate \\(E_{ext.}(w)\\). Changed setExtEncounter(). ext_diffusion array (species x size) holds external rate abundance density redistributed body size due mixing, beyond deterministic growth dynamics. Changed ext_diffusion(). pred_kernel array (species x predator size x prey size) holds predation coefficient predator size prey size. NA following two slots used. Changed setPredKernel(). ft_pred_kernel_e array (species x log predator/prey size ratio) holds Fourier transform feeding kernel form appropriate evaluating encounter rate integral. NA pred_kernel used calculate available energy integral. Changed setPredKernel(). ft_pred_kernel_p array (species x log predator/prey size ratio) holds Fourier transform feeding kernel form appropriate evaluating predation mortality integral. NA pred_kernel used calculate integral. Changed setPredKernel(). rr_pp vector length w_full slot. size specific growth rate resource spectrum. cc_pp vector length w_full slot. size specific carrying capacity resource spectrum. resource_dynamics Name function projecting resource abundance density one timestep. other_dynamics named list functions projecting values dynamical components ecosystem may modelled mizer extensions installed. names list entries names components. other_encounter named list functions calculating contribution encounter rate dynamical component. other_mort named list functions calculating contribution mortality rate dynamical components. other_params list containing parameters needed mizer extensions may installed model dynamical components ecosystem. rates_funcs named list names functions used calculate rates needed project(). default set names built-rate functions. sc community abundance scaling community species_params data.frame hold species specific parameters. See species_params() details. given_species_params data.frame hold species parameters given explicitly rather obtained default calculations. gear_params Data frame parameters gear selectivity. See setFishing() details. interaction species specific interaction matrix, \\(\\theta_{ij}\\). Changed setInteraction(). selectivity array (gear x species x w) holds selectivity gear species size, \\(S_{g,,w}\\). Changed setFishing(). catchability array (gear x species) holds catchability species gear, \\(Q_{g,}\\). Changed setFishing(). initial_effort vector containing initial fishing effort gear. Changed setFishing(). initial_n array (species x size) holds initial abundance species weight. initial_n_pp vector length w_full slot describes initial resource abundance weight. initial_n_other list initial abundances ecosystem components. length zero components. resource_params List parameters resource. Formerly used flag background species via NA values. Replaced is_background column species_params. removed future version. linecolour named vector colour values, named species. Used give consistent colours plots. linetype named vector linetypes, named species. Used give consistent line types plots. ft_mask array (species x w_full) zeros weights larger maximum weight species. Used efficiently minimize wrap-around errors Fourier transform calculations. use_predation_diffusion logical flag controlling whether predation-induced diffusion included calculating rates mizerDiffusion(). Defaults FALSE preserve behaviour previous mizer versions. Set TRUE enable diffusion term jump-growth equation.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/MizerParams.html","id":null,"dir":"Reference","previous_headings":"","what":"Alias for set_multispecies_model() — MizerParams","title":"Alias for set_multispecies_model() — MizerParams","text":"alias provided backward compatibility mizer version <= 1.0","code":""},{"path":"https://sizespectrum.org/mizer/reference/MizerParams.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Alias for set_multispecies_model() — MizerParams","text":"","code":"MizerParams(   species_params,   interaction = matrix(1, nrow = nrow(species_params), ncol = nrow(species_params)),   min_w_pp = 1e-10,   min_w = 0.001,   max_w = NULL,   no_w = 100,   n = 2/3,   q = 0.8,   f0 = 0.6,   kappa = 1e+11,   lambda = 2 + q - n,   r_pp = 10,   ... )"},{"path":"https://sizespectrum.org/mizer/reference/MizerParams.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Alias for set_multispecies_model() — MizerParams","text":"species_params data frame species-specific parameter values. interaction Optional interaction matrix species (predator species x prey species). default entries 1. See \"Setting interaction matrix\" section . min_w_pp smallest size resource spectrum. default set smallest value consumers can feed. min_w Sets size eggs species given w_min column species_params dataframe. max_w largest size consumer spectrum. default set largest w_max specified species_params data frame. no_w number size bins consumer spectrum. n allometric growth exponent. can overruled individual species including n column species_params. q Allometric exponent search volume f0 Expected average feeding level. Used set gamma, coefficient search rate. Ignored gamma given explicitly. kappa coefficient initial resource abundance power-law. lambda Used set power-law exponent resource capacity resource_capacity argument given single number. r_pp . Use resource_rate argument instead. ... arguments passed newMultispeciesParams().","code":""},{"path":"https://sizespectrum.org/mizer/reference/MizerParams.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Alias for set_multispecies_model() — MizerParams","text":"MizerParams object","code":""},{"path":"https://sizespectrum.org/mizer/reference/MizerParams.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Alias for set_multispecies_model() — MizerParams","text":"species_params contains w_inf column copied w_max. max_w supplied set 1.1 * max(species_params$w_max). supplied min_w_pp shifted one grid step passed newMultispeciesParams() compensate fact newer mizer versions extend full size grid min_w_pp. Missing legacy columns species_params filled follows: gear = species, k = 0, alpha = 0.6, erepro = 1, sel_func = \"knife_edge\", knife_edge_size = w_mat needed, catchability = 1, ks = h * 0.2, m = 1. h missing calculated k_vb, alpha, f0 w_max. gamma missing calculated f0, h, beta, sigma, lambda kappa.","code":""},{"path":"https://sizespectrum.org/mizer/reference/MizerSim-class.html","id":null,"dir":"Reference","previous_headings":"","what":"A class to hold the results of a simulation — MizerSim-class","title":"A class to hold the results of a simulation — MizerSim-class","text":"class holds results projecting MizerParams object time using project().","code":""},{"path":"https://sizespectrum.org/mizer/reference/MizerSim-class.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"A class to hold the results of a simulation — MizerSim-class","text":"new MizerSim object can created MizerSim() constructor, never object created automatically project() needed. user never access slots MizerSim object directly. Instead range functions extract information. N() NResource() return arrays saved abundances species resource population size respectively. getEffort() returns fishing effort gear time. getTimes() returns vector times simulation results stored idxFinalT() returns index access specifically value final time arrays returned functions. getParams() returns MizerParams object passed project(). also several summary_functions plotting_functions available explore contents MizerSim object. arrays named dimensions. names time dimension denote time years. names w dimension weights grams rounded three significant figures. names sp dimension species name order specified species_params data frame. names gear dimension names gears, order specified setting MizerParams object. Extensions mizer can use n_other slot store abundances ecosystem components extensions provide functions accessing information. MizerSim class changed since previous versions mizer. use MizerSim object created previous version, need upgrade validSim().","code":""},{"path":"https://sizespectrum.org/mizer/reference/MizerSim-class.html","id":"slots","dir":"Reference","previous_headings":"","what":"Slots","title":"A class to hold the results of a simulation — MizerSim-class","text":"params object type MizerParams. params object uses extensions, MizerSim object uses extension chain via params@extensions; MizerSim separate extension slot. n Three-dimensional array (time x species x size) stores projected community number densities. n_pp array (time x size) stores projected resource number densities. n_other list array (time x component) stores projected values ecosystem components. effort array (time x gear) stores fishing effort time gear.","code":""},{"path":"https://sizespectrum.org/mizer/reference/MizerSim.html","id":null,"dir":"Reference","previous_headings":"","what":"Constructor for the MizerSim class — MizerSim","title":"Constructor for the MizerSim class — MizerSim","text":"constructor MizerSim class. used project() create MizerSim objects right dimensions. necessary users use constructor.","code":""},{"path":"https://sizespectrum.org/mizer/reference/MizerSim.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Constructor for the MizerSim class — MizerSim","text":"","code":"MizerSim(params, t_dimnames = NA, t_max = 100, t_save = 1)"},{"path":"https://sizespectrum.org/mizer/reference/MizerSim.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Constructor for the MizerSim class — MizerSim","text":"params MizerParams object t_dimnames Numeric vector used time dimensions slots. Default = NA. t_max maximum time step simulation. used t_dimnames = NA. Default value = 100. t_save often results simulation stored. used t_dimnames = NA. Default value = 1.","code":""},{"path":"https://sizespectrum.org/mizer/reference/MizerSim.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Constructor for the MizerSim class — MizerSim","text":"object type MizerSim","code":""},{"path":"https://sizespectrum.org/mizer/reference/N.html","id":null,"dir":"Reference","previous_headings":"","what":"Time series of size spectra — N","title":"Time series of size spectra — N","text":"Fetch simulation results size spectra time.","code":""},{"path":"https://sizespectrum.org/mizer/reference/N.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Time series of size spectra — N","text":"","code":"N(sim)  NResource(sim)"},{"path":"https://sizespectrum.org/mizer/reference/N.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Time series of size spectra — N","text":"sim MizerSim object","code":""},{"path":"https://sizespectrum.org/mizer/reference/N.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Time series of size spectra — N","text":"N(): three-dimensional array (time x species x size) number density consumers NResource(): array (time x size) number density resource","code":""},{"path":"https://sizespectrum.org/mizer/reference/N.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Time series of size spectra — N","text":"","code":"str(N(NS_sim)) #>  num [1:44, 1:12, 1:100] 1.67e+13 1.67e+13 1.69e+13 1.66e+13 1.65e+13 ... #>  - attr(*, \"dimnames\")=List of 3 #>   ..$ time: chr [1:44] \"1967\" \"1968\" \"1969\" \"1970\" ... #>   ..$ sp  : chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   ..$ w   : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... str(NResource(NS_sim)) #>  num [1:44, 1:218] 4.88e+35 4.88e+35 4.88e+35 4.88e+35 4.88e+35 ... #>  - attr(*, \"dimnames\")=List of 2 #>   ..$ time: chr [1:44] \"1967\" \"1968\" \"1969\" \"1970\" ... #>   ..$ w   : chr [1:218] \"8.73e-13\" \"1.04e-12\" \"1.24e-12\" \"1.48e-12\" ..."},{"path":"https://sizespectrum.org/mizer/reference/NOther.html","id":null,"dir":"Reference","previous_headings":"","what":"Time series of other components — NOther","title":"Time series of other components — NOther","text":"Fetch simulation results components time.","code":""},{"path":"https://sizespectrum.org/mizer/reference/NOther.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Time series of other components — NOther","text":"","code":"NOther(sim)  finalNOther(sim)"},{"path":"https://sizespectrum.org/mizer/reference/NOther.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Time series of other components — NOther","text":"sim MizerSim object","code":""},{"path":"https://sizespectrum.org/mizer/reference/NOther.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Time series of other components — NOther","text":"NOther: list array indexed time component stores projected values ecosystem components. finalNOther: named list holding values ecosystem components end simulation","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/NS_interaction.html","id":null,"dir":"Reference","previous_headings":"","what":"Example interaction matrix for the North Sea example — NS_interaction","title":"Example interaction matrix for the North Sea example — NS_interaction","text":"interaction coefficient predator prey species North Sea.","code":""},{"path":"https://sizespectrum.org/mizer/reference/NS_interaction.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Example interaction matrix for the North Sea example — NS_interaction","text":"","code":"NS_interaction"},{"path":"https://sizespectrum.org/mizer/reference/NS_interaction.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Example interaction matrix for the North Sea example — NS_interaction","text":"12 x 12 matrix.","code":""},{"path":"https://sizespectrum.org/mizer/reference/NS_interaction.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Example interaction matrix for the North Sea example — NS_interaction","text":"Blanchard et al.","code":""},{"path":"https://sizespectrum.org/mizer/reference/NS_interaction.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Example interaction matrix for the North Sea example — NS_interaction","text":"","code":"params <- MizerParams(NS_species_params_gears,                       interaction = NS_interaction) #> Warning: `set_multispecies_model()` was deprecated in mizer 2.0.0. #> ℹ Please use `newMultispeciesParams()` instead. #> Note: No sel_func column in species data frame. Setting selectivity to be 'knife_edge' for all species. #> Note: No knife_edge_size column in species data frame. Setting knife edge selectivity equal to w_mat. #> Note: No h column in species data frame so using f0 and k_vb to calculate it. #> Note: No gamma column in species data frame so using f0, h, beta, sigma, lambda and kappa to calculate it. #> Note: No ks column in species data frame so using ks = h * 0.2. #> Note: No m column in species data frame so using m = 1. #> Using z0 = z0pre * w_max ^ z0exp for missing z0 values."},{"path":"https://sizespectrum.org/mizer/reference/NS_params.html","id":null,"dir":"Reference","previous_headings":"","what":"Example MizerParams object for the North Sea example — NS_params","title":"Example MizerParams object for the North Sea example — NS_params","text":"MizerParams object created NS_species_params_gears species parameters inter interaction matrix together initial condition corresponding steady state obtained fishing effort effort = c(Industrial = 0, Pelagic = 1, Beam = 0.5, Otter = 0.5).","code":""},{"path":"https://sizespectrum.org/mizer/reference/NS_params.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Example MizerParams object for the North Sea example — NS_params","text":"","code":"NS_params"},{"path":"https://sizespectrum.org/mizer/reference/NS_params.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Example MizerParams object for the North Sea example — NS_params","text":"MizerParams object","code":""},{"path":"https://sizespectrum.org/mizer/reference/NS_params.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Example MizerParams object for the North Sea example — NS_params","text":"Blanchard et al.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/NS_params.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Example MizerParams object for the North Sea example — NS_params","text":"","code":"# \\donttest{ sim = project(NS_params, effort = c(Industrial = 0, Pelagic = 1,                                      Beam = 0.5, Otter = 0.5)) plot(sim)  # }"},{"path":"https://sizespectrum.org/mizer/reference/NS_sim.html","id":null,"dir":"Reference","previous_headings":"","what":"Example MizerSim object for the North Sea example — NS_sim","title":"Example MizerSim object for the North Sea example — NS_sim","text":"MizerSim object containing simulation historical fishing mortalities North Sea, created tutorial \"Multi-Species Model North Sea\".","code":""},{"path":"https://sizespectrum.org/mizer/reference/NS_sim.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Example MizerSim object for the North Sea example — NS_sim","text":"","code":"NS_sim"},{"path":"https://sizespectrum.org/mizer/reference/NS_sim.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Example MizerSim object for the North Sea example — NS_sim","text":"MizerSim object","code":""},{"path":"https://sizespectrum.org/mizer/reference/NS_sim.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Example MizerSim object for the North Sea example — NS_sim","text":"https://sizespectrum.org/mizer/articles/a_multispecies_model_of_the_north_sea.html","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/NS_sim.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Example MizerSim object for the North Sea example — NS_sim","text":"","code":"plotBiomass(NS_sim)"},{"path":"https://sizespectrum.org/mizer/reference/NS_species_params.html","id":null,"dir":"Reference","previous_headings":"","what":"Example species parameter set based on the North Sea — NS_species_params","title":"Example species parameter set based on the North Sea — NS_species_params","text":"data set based species North Sea (Blanchard et al.). data.frame contains necessary information used MizerParams() constructor. gear column, species assumed fished separate gear.","code":""},{"path":"https://sizespectrum.org/mizer/reference/NS_species_params.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Example species parameter set based on the North Sea — NS_species_params","text":"","code":"NS_species_params"},{"path":"https://sizespectrum.org/mizer/reference/NS_species_params.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Example species parameter set based on the North Sea — NS_species_params","text":"data frame 12 rows 7 columns. row species. species Name species w_max Maximum size. w_mat Size maturity beta Size preference ratio sigma Width size-preference R_max Maximum reproduction rate k_vb von Bertalanffy k parameter w_inf von Bertalanffy asymptotic size","code":""},{"path":"https://sizespectrum.org/mizer/reference/NS_species_params.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Example species parameter set based on the North Sea — NS_species_params","text":"Blanchard et al.","code":""},{"path":"https://sizespectrum.org/mizer/reference/NS_species_params.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Example species parameter set based on the North Sea — NS_species_params","text":"","code":"params <- MizerParams(NS_species_params) #> Note: No sel_func column in species data frame. Setting selectivity to be 'knife_edge' for all species. #> Note: No knife_edge_size column in species data frame. Setting knife edge selectivity equal to w_mat. #> Note: No h column in species data frame so using f0 and k_vb to calculate it. #> Note: No gamma column in species data frame so using f0, h, beta, sigma, lambda and kappa to calculate it. #> Note: No ks column in species data frame so using ks = h * 0.2. #> Note: No m column in species data frame so using m = 1. #> Using z0 = z0pre * w_max ^ z0exp for missing z0 values."},{"path":"https://sizespectrum.org/mizer/reference/NS_species_params_gears.html","id":null,"dir":"Reference","previous_headings":"","what":"Example species parameter set based on the North Sea with different gears — NS_species_params_gears","title":"Example species parameter set based on the North Sea with different gears — NS_species_params_gears","text":"data set based species North Sea (Blanchard et al.). similar data set NS_species_params except one additional column specifying fishing gear operates species.","code":""},{"path":"https://sizespectrum.org/mizer/reference/NS_species_params_gears.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Example species parameter set based on the North Sea with different gears — NS_species_params_gears","text":"","code":"NS_species_params_gears"},{"path":"https://sizespectrum.org/mizer/reference/NS_species_params_gears.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Example species parameter set based on the North Sea with different gears — NS_species_params_gears","text":"data frame 12 rows 8 columns. row species. species Name species w_max Maximum size. w_mat Size maturity beta Size preference ratio sigma Width size-preference R_max Maximum reproduction rate k_vb von Bertalanffy k parameter w_inf von Bertalanffy asymptotic size gear Name fishing gear","code":""},{"path":"https://sizespectrum.org/mizer/reference/NS_species_params_gears.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Example species parameter set based on the North Sea with different gears — NS_species_params_gears","text":"Blanchard et al.","code":""},{"path":"https://sizespectrum.org/mizer/reference/NS_species_params_gears.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Example species parameter set based on the North Sea with different gears — NS_species_params_gears","text":"","code":"params <- MizerParams(NS_species_params_gears) #> Note: No sel_func column in species data frame. Setting selectivity to be 'knife_edge' for all species. #> Note: No knife_edge_size column in species data frame. Setting knife edge selectivity equal to w_mat. #> Note: No h column in species data frame so using f0 and k_vb to calculate it. #> Note: No gamma column in species data frame so using f0, h, beta, sigma, lambda and kappa to calculate it. #> Note: No ks column in species data frame so using ks = h * 0.2. #> Note: No m column in species data frame so using m = 1. #> Using z0 = z0pre * w_max ^ z0exp for missing z0 values."},{"path":"https://sizespectrum.org/mizer/reference/RickerRDD.html","id":null,"dir":"Reference","previous_headings":"","what":"Ricker function to calculate density-dependent reproduction rate — RickerRDD","title":"Ricker function to calculate density-dependent reproduction rate — RickerRDD","text":"Takes density-independent rates \\(R_{di}\\) egg production returns reduced, density-dependent rates \\(R_{dd}\\) given $$R_{dd} = R_{di} \\exp(- b R_{di})$$","code":""},{"path":"https://sizespectrum.org/mizer/reference/RickerRDD.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Ricker function to calculate density-dependent reproduction rate — RickerRDD","text":"","code":"RickerRDD(rdi, species_params, ...)"},{"path":"https://sizespectrum.org/mizer/reference/RickerRDD.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Ricker function to calculate density-dependent reproduction rate — RickerRDD","text":"rdi Vector density-independent reproduction rates \\(R_{di}\\) species. species_params species parameter dataframe. Must contain column ricker_b holding coefficient b. ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/RickerRDD.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Ricker function to calculate density-dependent reproduction rate — RickerRDD","text":"Vector density-dependent reproduction rates.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/SheperdRDD.html","id":null,"dir":"Reference","previous_headings":"","what":"Sheperd function to calculate density-dependent reproduction rate — SheperdRDD","title":"Sheperd function to calculate density-dependent reproduction rate — SheperdRDD","text":"Takes density-independent rates \\(R_{di}\\) egg production returns reduced, density-dependent rates \\(R_{dd}\\) given $$R_{dd} = \\frac{R_{di}}{1+(b\\ R_{di})^c}$$","code":""},{"path":"https://sizespectrum.org/mizer/reference/SheperdRDD.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Sheperd function to calculate density-dependent reproduction rate — SheperdRDD","text":"","code":"SheperdRDD(rdi, species_params, ...)"},{"path":"https://sizespectrum.org/mizer/reference/SheperdRDD.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Sheperd function to calculate density-dependent reproduction rate — SheperdRDD","text":"rdi Vector density-independent reproduction rates \\(R_{di}\\) species. species_params species parameter dataframe. Must contain columns sheperd_b sheperd_c parameters b c. ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/SheperdRDD.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Sheperd function to calculate density-dependent reproduction rate — SheperdRDD","text":"Vector density-dependent reproduction rates.","code":""},{"path":"https://sizespectrum.org/mizer/reference/SheperdRDD.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Sheperd function to calculate density-dependent reproduction rate — SheperdRDD","text":"\\(b = 1/R_{max}\\) \\(c = 1\\) reduces Beverton-Holt reproduction rate, see BevertonHoltRDD().","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/addSpecies.html","id":null,"dir":"Reference","previous_headings":"","what":"Add new species — addSpecies","title":"Add new species — addSpecies","text":"Takes MizerParams object adds additional species given parameters ecosystem. sets initial values new species steady-state solution given initial state existing ecosystem. close true steady state abundances new species sufficiently low. Hence abundances new species set 1/100th resource power law. reproductive efficiencies set keep low level.","code":""},{"path":"https://sizespectrum.org/mizer/reference/addSpecies.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Add new species — addSpecies","text":"","code":"addSpecies(   params,   species_params,   gear_params = data.frame(),   initial_effort,   interaction,   steady = TRUE,   info_level = 3,   ... )"},{"path":"https://sizespectrum.org/mizer/reference/addSpecies.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Add new species — addSpecies","text":"params mizer params object original system. species_params Data frame species parameters new species want add system. gear_params Data frame gear parameters new species. provided new species fished. initial_effort named vector effort new fishing gear introduced gear_params. needed added species fished already existing gear. include effort values existing gear. New gear effort set via vector initial effort 0. interaction Interaction matrix. square matrix giving either interaction coefficients species new species. latter case interaction old new species set 1. argument missing, interactions involving new species set 1. steady TRUE (default), runs steadySingleSpecies() initialise new species single-species steady state retuning reproductive efficiencies. Set FALSE caller (e.g. extension package using NextMethod()) needs make changes params object steady-state calculation can run successfully. info_level Controls amount information messages shown function sets default values parameters. Higher levels lead messages. Set 0 suppress messages. ... Additional arguments","code":""},{"path":"https://sizespectrum.org/mizer/reference/addSpecies.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Add new species — addSpecies","text":"object type MizerParams","code":""},{"path":"https://sizespectrum.org/mizer/reference/addSpecies.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Add new species — addSpecies","text":"resulting MizerParams object use size grid possible, one new species needs larger range w (either new species egg size smaller existing species maximum size larger existing species) grid expanded arrays enlarged accordingly. rate arrays existing species set user values calculated default species parameters, preserved. rates new species calculated species parameters. adding new species, background species retuned system run steady state. done steady(). new species reproduction level 1/4, can changed setBevertonHolt()","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/addSpecies.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Add new species — addSpecies","text":"","code":"params <- newTraitParams() species_params <- data.frame(     species = \"Mullet\",     w_max = 173,     w_mat = 15,     beta = 283,     sigma = 1.8,     h = 30,     a = 0.0085,     b = 3.11 ) params <- addSpecies(params, species_params) #> Using f0, h, lambda, kappa and the predation kernel to calculate gamma. plotSpectra(params)"},{"path":"https://sizespectrum.org/mizer/reference/age_mat.html","id":null,"dir":"Reference","previous_headings":"","what":"Calculate age at maturity — age_mat","title":"Calculate age at maturity — age_mat","text":"Uses size-dependent growth rate size maturity calculate age maturity.","code":""},{"path":"https://sizespectrum.org/mizer/reference/age_mat.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Calculate age at maturity — age_mat","text":"","code":"age_mat(params, ...)"},{"path":"https://sizespectrum.org/mizer/reference/age_mat.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Calculate age at maturity — age_mat","text":"params MizerParams object ... Additional arguments","code":""},{"path":"https://sizespectrum.org/mizer/reference/age_mat.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Calculate age at maturity — age_mat","text":"named vector. names species names values ages maturity.","code":""},{"path":"https://sizespectrum.org/mizer/reference/age_mat.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Calculate age at maturity — age_mat","text":"Using definition growth rate \\(g(w) = dw/dt\\) $$\\mathrm{age_{mat}} = \\int_0^{w_{mat}.}\\frac{dw}{g(w)}$$ implementation integral approximated model size grid summing dw / g(w) size bins w < w_mat.","code":""},{"path":"https://sizespectrum.org/mizer/reference/age_mat.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Calculate age at maturity — age_mat","text":"","code":"age_mat(NS_params) #>     Sprat   Sandeel    N.pout   Herring       Dab   Whiting      Sole   Gurnard  #> 2.5560864 0.9832776 1.7962884 3.0382630 1.9612689 2.7122876 4.4940829 4.1384558  #>    Plaice   Haddock       Cod    Saithe  #> 6.2608150 3.4391147 2.8583434 4.6315535"},{"path":"https://sizespectrum.org/mizer/reference/age_mat_vB.html","id":null,"dir":"Reference","previous_headings":"","what":"Calculate age at maturity from von Bertalanffy growth parameters — age_mat_vB","title":"Calculate age at maturity from von Bertalanffy growth parameters — age_mat_vB","text":"good way determine age maturity von Bertalanffy growth curve reliable larvae juveniles. However used previous versions mizer supplied backwards compatibility.","code":""},{"path":"https://sizespectrum.org/mizer/reference/age_mat_vB.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Calculate age at maturity from von Bertalanffy growth parameters — age_mat_vB","text":"","code":"age_mat_vB(object, ...)  # S3 method for class 'MizerParams' age_mat_vB(object, ...)  # S3 method for class 'data.frame' age_mat_vB(object, ...)  # Default S3 method age_mat_vB(object, ...)"},{"path":"https://sizespectrum.org/mizer/reference/age_mat_vB.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Calculate age at maturity from von Bertalanffy growth parameters — age_mat_vB","text":"object MizerParams object species_params data frame ... Additional arguments","code":""},{"path":"https://sizespectrum.org/mizer/reference/age_mat_vB.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Calculate age at maturity from von Bertalanffy growth parameters — age_mat_vB","text":"named vector. names species names values ages maturity.","code":""},{"path":"https://sizespectrum.org/mizer/reference/age_mat_vB.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Calculate age at maturity from von Bertalanffy growth parameters — age_mat_vB","text":"Uses age maturity implied von Bertalanffy growth curve specified w_inf, k_vb, t0, b parameters species_params data frame. k_vb missing species, function returns NA species. Default values b = 3 t0 = 0 used missing. w_inf missing, w_max used instead.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/animateSpectra.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Animation of the abundance spectra — animateSpectra","text":"","code":"animateSpectra(   sim,   species,   time_range,   wlim,   ylim,   power,   total,   resource,   background,   ... )"},{"path":"https://sizespectrum.org/mizer/reference/animateSpectra.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Animation of the abundance spectra — animateSpectra","text":"sim MizerSim object species Name vector names species plotted. default species plotted. time_range time range animate . Either vector values vector min max time. Default entire time range simulation. wlim numeric vector length two providing lower upper limits w axis. Use NA refer existing minimum maximum. ylim numeric vector length two providing lower upper limits y axis. Use NA refer existing minimum maximum. values 1e-20 always cut . power abundance plotted number density times weight raised power. default power = 1 gives biomass density, whereas power = 2 gives biomass density respect logarithmic size bins. total boolean value determines whether total species system plotted additional trace called \"Total\". Default FALSE. resource boolean value determines whether resource included. TRUE, resource spectrum plotted additional trace called \"Resource\". Default TRUE. background boolean value determines whether background species included. Ignored model contain background species. Default TRUE. ... Additional arguments passed method.","code":""},{"path":"https://sizespectrum.org/mizer/reference/animateSpectra.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Animation of the abundance spectra — animateSpectra","text":"plotly object one animated line trace per plotted group. y-axis title depends power.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/animateSpectra.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Animation of the abundance spectra — animateSpectra","text":"","code":"# \\donttest{ animateSpectra(NS_sim, power = 2, wlim = c(0.1, NA), time_range = 1997:2007)  {\"x\":{\"visdat\":{\"240f6d38c27c\":[\"function () \",\"plotlyVisDat\"],\"240f6208feee7\":[\"function () \",\"data\"],\"240f620f12016\":[\"function () \",\"data\"],\"240f659bf3e45\":[\"function () \",\"data\"],\"240f63303ddf4\":[\"function () \",\"data\"],\"240f65ef719b3\":[\"function () \",\"data\"],\"240f61cd4103a\":[\"function () \",\"data\"],\"240f62cc20d16\":[\"function () \",\"data\"],\"240f6542ce4bf\":[\"function () \",\"data\"],\"240f6c53d627\":[\"function () \",\"data\"],\"240f65933db6e\":[\"function () \",\"data\"],\"240f6bfcf073\":[\"function () \",\"data\"],\"240f6ebcbd73\":[\"function () \",\"data\"],\"240f61e329ed7\":[\"function () 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[g]\",\"range\":[-1.2007112156691466,4.7963396897868362]},\"yaxis\":{\"domain\":[0,1],\"automargin\":true,\"type\":\"log\",\"exponentformat\":\"power\",\"title\":\"Biomass density [g]\",\"range\":[6.9339661787970126,12.085341193492296]},\"legend\":{\"traceorder\":\"normal\"},\"hovermode\":\"closest\",\"showlegend\":true,\"sliders\":[{\"currentvalue\":{\"prefix\":\"time: 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Defaults objectExtensions() applied object. check_class Logical. TRUE (default), also verify object inherits expected S4 marker class.","code":""},{"path":"https://sizespectrum.org/mizer/reference/assertExtensionChain.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Assert that an object's extension chain is compatible with the session — assertExtensionChain","text":"Invisibly TRUE. Called side-effect stopping incompatibility.","code":""},{"path":"https://sizespectrum.org/mizer/reference/baseMizerClass.html","id":null,"dir":"Reference","previous_headings":"","what":"Strip extension classes from a mizer object — baseMizerClass","title":"Strip extension classes from a mizer object — baseMizerClass","text":"Coerces MizerParams MizerSim object back plain base class, removing S4 extension marker classes. MizerSim, also strips extension class embedded params slot.","code":""},{"path":"https://sizespectrum.org/mizer/reference/baseMizerClass.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Strip extension classes from a mizer object — baseMizerClass","text":"","code":"baseMizerClass(object)"},{"path":"https://sizespectrum.org/mizer/reference/baseMizerClass.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Strip extension classes from a mizer object — baseMizerClass","text":"object MizerParams MizerSim object.","code":""},{"path":"https://sizespectrum.org/mizer/reference/baseMizerClass.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Strip extension classes from a mizer object — baseMizerClass","text":"object coerced MizerParams MizerSim.","code":""},{"path":"https://sizespectrum.org/mizer/reference/box_pred_kernel.html","id":null,"dir":"Reference","previous_headings":"","what":"Box predation kernel — box_pred_kernel","title":"Box predation kernel — box_pred_kernel","text":"predation kernel predator/prey mass ratio uniformly distributed interval.","code":""},{"path":"https://sizespectrum.org/mizer/reference/box_pred_kernel.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Box predation kernel — box_pred_kernel","text":"","code":"box_pred_kernel(ppmr, ppmr_min, ppmr_max)"},{"path":"https://sizespectrum.org/mizer/reference/box_pred_kernel.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Box predation kernel — box_pred_kernel","text":"ppmr vector predator/prey size ratios ppmr_min Minimum predator/prey mass ratio ppmr_max Maximum predator/prey mass ratio","code":""},{"path":"https://sizespectrum.org/mizer/reference/box_pred_kernel.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Box predation kernel — box_pred_kernel","text":"vector giving value predation kernel predator/prey mass ratios ppmr argument.","code":""},{"path":"https://sizespectrum.org/mizer/reference/box_pred_kernel.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Box predation kernel — box_pred_kernel","text":"Writing predator mass \\(w\\) prey mass \\(w_p\\), feeding kernel 1 \\(w/w_p\\) ppmr_min ppmr_max inclusive zero otherwise. ppmr_min must strictly smaller ppmr_max. parameters need given species parameter dataframe columns ppmr_min ppmr_max.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/box_pred_kernel.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Box predation kernel — box_pred_kernel","text":"","code":"params <- NS_params # Set all required paramters before changing kernel type species_params(params)$ppmr_max <- 4000 species_params(params)$ppmr_min <- 200 species_params(params)$pred_kernel_type <- \"box\" plot(w_full(params), getPredKernel(params)[\"Cod\", 10, ], type=\"l\", log=\"x\")"},{"path":"https://sizespectrum.org/mizer/reference/calc_selectivity.html","id":null,"dir":"Reference","previous_headings":"","what":"Calculate selectivity from gear parameters — calc_selectivity","title":"Calculate selectivity from gear parameters — calc_selectivity","text":"function calculates selectivity gear, species size gear parameters. called setFishing() selectivity set user. returned array initialised zero, gear-species combinations listed gear_params(params) remain zero. listed combination function named sel_func called w = params@w, corresponding species parameters, selectivity parameters matching row gear_params(params).","code":""},{"path":"https://sizespectrum.org/mizer/reference/calc_selectivity.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Calculate selectivity from gear parameters — calc_selectivity","text":"","code":"calc_selectivity(params)"},{"path":"https://sizespectrum.org/mizer/reference/calc_selectivity.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Calculate selectivity from gear parameters — calc_selectivity","text":"params MizerParams object","code":""},{"path":"https://sizespectrum.org/mizer/reference/calc_selectivity.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Calculate selectivity from gear parameters — calc_selectivity","text":"array (gear x species x size) selectivity values","code":""},{"path":"https://sizespectrum.org/mizer/reference/calc_selectivity.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Calculate selectivity from gear parameters — calc_selectivity","text":"","code":"params <- NS_params str(calc_selectivity(params)) #>  num [1:4, 1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ... #>  - attr(*, \"dimnames\")=List of 3 #>   ..$ gear: chr [1:4] \"Industrial\" \"Pelagic\" \"Beam\" \"Otter\" #>   ..$ sp  : chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   ..$ w   : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... calc_selectivity(params)[\"Pelagic\", \"Herring\", ] #>   0.001 0.00119 0.00142  0.0017 0.00203 0.00242 0.00289 0.00345 0.00411 0.00491  #>       0       0       0       0       0       0       0       0       0       0  #> 0.00586 0.00699 0.00834 0.00995  0.0119  0.0142  0.0169  0.0202  0.0241  0.0288  #>       0       0       0       0       0       0       0       0       0       0  #>  0.0343  0.0409  0.0489  0.0583  0.0696   0.083  0.0991   0.118   0.141   0.168  #>       0       0       0       0       0       0       0       0       0       0  #>   0.201    0.24   0.286   0.342   0.408   0.486    0.58   0.693   0.827   0.987  #>       0       0       0       0       0       0       0       0       0       0  #>    1.18     1.4    1.68       2    2.39    2.85     3.4    4.06    4.84    5.78  #>       0       0       0       0       0       0       0       0       0       0  #>     6.9    8.23    9.82    11.7      14    16.7    19.9    23.8    28.4    33.8  #>       0       0       0       0       0       0       0       0       0       0  #>    40.4    48.2    57.5    68.7    81.9    97.8     117     139     166     198  #>       0       0       0       0       0       0       1       1       1       1  #>     237     282     337     402     480     573     683     816     973    1160  #>       1       1       1       1       1       1       1       1       1       1  #>    1390    1650    1970    2360    2810    3350    4000    4780    5700    6800  #>       1       1       1       1       1       1       1       1       1       1  #>    8120    9690   11600   13800   16500   19600   23400   28000   33400   39900  #>       1       1       1       1       1       1       1       1       1       1"},{"path":"https://sizespectrum.org/mizer/reference/calibrateBiomass.html","id":null,"dir":"Reference","previous_headings":"","what":"Calibrate the model scale to match total observed biomass — calibrateBiomass","title":"Calibrate the model scale to match total observed biomass — calibrateBiomass","text":"Given MizerParams object params biomass observations available least species via biomass_observed column species_params data frame, function returns updated MizerParams object rescaled scaleModel() total biomass model agrees total observed biomass.","code":""},{"path":"https://sizespectrum.org/mizer/reference/calibrateBiomass.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Calibrate the model scale to match total observed biomass — calibrateBiomass","text":"","code":"calibrateBiomass(params, ...)"},{"path":"https://sizespectrum.org/mizer/reference/calibrateBiomass.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Calibrate the model scale to match total observed biomass — calibrateBiomass","text":"params MizerParams object ... Additional arguments passed method.","code":""},{"path":"https://sizespectrum.org/mizer/reference/calibrateBiomass.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Calibrate the model scale to match total observed biomass — calibrateBiomass","text":"MizerParams object. non-missing observed biomass values provided, original object returned unchanged.","code":""},{"path":"https://sizespectrum.org/mizer/reference/calibrateBiomass.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Calibrate the model scale to match total observed biomass — calibrateBiomass","text":"Biomass observations usually include individuals certain size. size specified biomass_cutoff column species parameter data frame. missing, assumed sizes included observed biomass, .e., includes larval biomass. using function total biomass model match total biomass, summed species. However biomasses individual species match observations yet, species biomasses high others low. function may want use matchBiomasses(). described blog post https://bit.ly/2YqXESV. observations yearly yield instead biomasses, can use calibrateYield() instead function.","code":""},{"path":"https://sizespectrum.org/mizer/reference/calibrateBiomass.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Calibrate the model scale to match total observed biomass — calibrateBiomass","text":"","code":"params <- NS_params species_params(params)$biomass_observed <-      c(0.8, 61, 12, 35, 1.6, 20, 10, 7.6, 135, 60, 30, 78) species_params(params)$biomass_cutoff <- 10 params2 <- calibrateBiomass(params) plotBiomassObservedVsModel(params2)"},{"path":"https://sizespectrum.org/mizer/reference/calibrateNumber.html","id":null,"dir":"Reference","previous_headings":"","what":"Calibrate the model scale to match total observed number — calibrateNumber","title":"Calibrate the model scale to match total observed number — calibrateNumber","text":"Given MizerParams object params number observations available least species via number_observed column species_params data frame, function returns updated MizerParams object rescaled scaleModel() total number model agrees total observed number.","code":""},{"path":"https://sizespectrum.org/mizer/reference/calibrateNumber.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Calibrate the model scale to match total observed number — calibrateNumber","text":"","code":"calibrateNumber(params, ...)"},{"path":"https://sizespectrum.org/mizer/reference/calibrateNumber.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Calibrate the model scale to match total observed number — calibrateNumber","text":"params MizerParams object ... Additional arguments passed method.","code":""},{"path":"https://sizespectrum.org/mizer/reference/calibrateNumber.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Calibrate the model scale to match total observed number — calibrateNumber","text":"MizerParams object. non-missing observed number values provided, original object returned unchanged.","code":""},{"path":"https://sizespectrum.org/mizer/reference/calibrateNumber.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Calibrate the model scale to match total observed number — calibrateNumber","text":"Number observations usually include individuals certain size. size specified number_cutoff column species parameter data frame. missing, assumed sizes included observed number, .e., includes larval number. using function total number model match total number, summed species. However numbers individual species match observations yet, species numbers high others low. function may want use matchNumbers(). described blog post https://bit.ly/2YqXESV. observations yearly yield instead numbers, can use calibrateYield() instead function.","code":""},{"path":"https://sizespectrum.org/mizer/reference/calibrateNumber.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Calibrate the model scale to match total observed number — calibrateNumber","text":"","code":"params <- NS_params species_params(params)$number_observed <-     c(0.8, 61, 12, 35, 1.6, 20, 10, 7.6, 135, 60, 30, 78) species_params(params)$number_cutoff <- 10 params2 <- calibrateNumber(params)"},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/calibrateYield.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Calibrate the model scale to match total observed yield — calibrateYield","text":"","code":"calibrateYield(params, ...)"},{"path":"https://sizespectrum.org/mizer/reference/calibrateYield.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Calibrate the model scale to match total observed yield — calibrateYield","text":"params MizerParams object ... Additional arguments passed method.","code":""},{"path":"https://sizespectrum.org/mizer/reference/calibrateYield.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Calibrate the model scale to match total observed yield — calibrateYield","text":"MizerParams object. non-missing observed yield values provided, original object returned unchanged.","code":""},{"path":"https://sizespectrum.org/mizer/reference/calibrateYield.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Calibrate the model scale to match total observed yield — calibrateYield","text":"function deprecated removed future unless use case . use case , please let developers know creating issue https://github.com/sizespectrum/mizer/issues. Given MizerParams object params yield observations available least species via yield_observed column species_params data frame, function returns updated MizerParams object rescaled scaleModel() total yield model agrees total observed yield. using function total yield model match total observed yield, summed species. However yields individual species match observations yet, species yields high others low. function may want use matchYields(). observations species biomasses instead yields, can use calibrateBiomass() instead function.","code":""},{"path":"https://sizespectrum.org/mizer/reference/calibrateYield.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Calibrate the model scale to match total observed yield — calibrateYield","text":"","code":"params <- NS_params species_params(params)$yield_observed <-     c(0.8, 61, 12, 35, 1.6, 20, 10, 7.6, 135, 60, 30, 78) gear_params(params)$catchability <-     c(1.3, 0.065, 0.31, 0.18, 0.98, 0.24, 0.37, 0.46, 0.18, 0.30, 0.27, 0.39) params2 <- calibrateYield(params) #> Warning: `calibrateYield()` was deprecated in mizer 2.6.0. #> ℹ This function has not proven useful. If you do have a use case for it, please #>   let the developers know by creating an issue at #>   https://github.com/sizespectrum/mizer/issues plotYieldObservedVsModel(params2) #> The following species are not being fished in your model and will not be included in the plot: Sprat, Sandeel, N.pout."},{"path":"https://sizespectrum.org/mizer/reference/clearExtensionChain.html","id":null,"dir":"Reference","previous_headings":"","what":"Clear the registered extension chain — clearExtensionChain","title":"Clear the registered extension chain — clearExtensionChain","text":"Clears session's extension registry. can create new extension chain registerExtensions().","code":""},{"path":"https://sizespectrum.org/mizer/reference/clearExtensionChain.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Clear the registered extension chain — clearExtensionChain","text":"","code":"clearExtensionChain()"},{"path":"https://sizespectrum.org/mizer/reference/clearExtensionChain.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Clear the registered extension chain — clearExtensionChain","text":"Invisibly, empty character vector.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/coerceToExtensionClass.html","id":null,"dir":"Reference","previous_headings":"","what":"Coerce a mizer object to its registered extension class — coerceToExtensionClass","title":"Coerce a mizer object to its registered extension class — coerceToExtensionClass","text":"Coerces MizerParams MizerSim object S4 marker class corresponding object's extension chain. MizerSim, extension chain read sim@params@extensions.","code":""},{"path":"https://sizespectrum.org/mizer/reference/coerceToExtensionClass.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Coerce a mizer object to its registered extension class — coerceToExtensionClass","text":"","code":"coerceToExtensionClass(object, extensions = objectExtensions(object))"},{"path":"https://sizespectrum.org/mizer/reference/coerceToExtensionClass.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Coerce a mizer object to its registered extension class — coerceToExtensionClass","text":"object MizerParams MizerSim object. extensions Optional extension chain. Defaults chain stored object, object@params MizerSim.","code":""},{"path":"https://sizespectrum.org/mizer/reference/coerceToExtensionClass.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Coerce a mizer object to its registered extension class — coerceToExtensionClass","text":"object coerced appropriate marker class, base class empty extension chain.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/compareExtensionChains.html","id":null,"dir":"Reference","previous_headings":"","what":"Compare two extension chains — compareExtensionChains","title":"Compare two extension chains — compareExtensionChains","text":"Compare two extension chains","code":""},{"path":"https://sizespectrum.org/mizer/reference/compareExtensionChains.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Compare two extension chains — compareExtensionChains","text":"","code":"compareExtensionChains(old, new)"},{"path":"https://sizespectrum.org/mizer/reference/compareExtensionChains.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Compare two extension chains — compareExtensionChains","text":"old Named character vector previously registered chain. new Named character vector proposed chain.","code":""},{"path":"https://sizespectrum.org/mizer/reference/compareExtensionChains.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Compare two extension chains — compareExtensionChains","text":"One \"identical\", \"new_is_suffix\", \"old_is_suffix\", \"incompatible\".","code":""},{"path":"https://sizespectrum.org/mizer/reference/compareParams.html","id":null,"dir":"Reference","previous_headings":"","what":"Compare two MizerParams objects and print out differences — compareParams","title":"Compare two MizerParams objects and print out differences — compareParams","text":"Compare two MizerParams objects print differences","code":""},{"path":"https://sizespectrum.org/mizer/reference/compareParams.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Compare two MizerParams objects and print out differences — compareParams","text":"","code":"compareParams(params1, params2, ...)"},{"path":"https://sizespectrum.org/mizer/reference/compareParams.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Compare two MizerParams objects and print out differences — compareParams","text":"params1 First MizerParams object params2 Second MizerParams object ... Additional arguments passed method.","code":""},{"path":"https://sizespectrum.org/mizer/reference/compareParams.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Compare two MizerParams objects and print out differences — compareParams","text":"Invisibly returns character vector difference messages, one element per difference. side effect, prints differences human-readable format.","code":""},{"path":"https://sizespectrum.org/mizer/reference/compareParams.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Compare two MizerParams objects and print out differences — compareParams","text":"","code":"params1 <- NS_params params2 <- params1 species_params(params2)$w_mat[1] <- 10 #> Warning: For the species Sprat the value for `w_mat25` is not smaller than that of `w_mat`. I have corrected that by setting it to NA. compareParams(params1, params2) #> The following species parameters differ: Component “w_mat”: Mean absolute difference: 3, Component “w_mat25”: Mean absolute difference: 2.687875 #>  #> The time_modified slots do not agree: Mean absolute difference: 2185874 #>  #> The maturity slots do not agree: Mean absolute difference: 0.04497162 #>   Max |diff|: Sprat: 0.568 #>  #> The psi slots do not agree: Mean absolute difference: 0.06138336 #>   Max |diff|: Sprat: 0.403 #>"},{"path":"https://sizespectrum.org/mizer/reference/completeSpeciesParams.html","id":null,"dir":"Reference","previous_headings":"","what":"Alias for validSpeciesParams() — completeSpeciesParams","title":"Alias for validSpeciesParams() — completeSpeciesParams","text":"alias provided backward compatibility mizer version <= 2.5.2","code":""},{"path":"https://sizespectrum.org/mizer/reference/completeSpeciesParams.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Alias for validSpeciesParams() — completeSpeciesParams","text":"","code":"completeSpeciesParams(species_params)"},{"path":"https://sizespectrum.org/mizer/reference/completeSpeciesParams.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Alias for validSpeciesParams() — completeSpeciesParams","text":"species_params user-supplied species parameter data frame","code":""},{"path":"https://sizespectrum.org/mizer/reference/completeSpeciesParams.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Alias for validSpeciesParams() — completeSpeciesParams","text":"validSpeciesParams(): valid species parameter data frame additional parameters default values. validGivenSpeciesParams(): valid species parameter data frame without additional parameters.","code":""},{"path":"https://sizespectrum.org/mizer/reference/completeSpeciesParams.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Alias for validSpeciesParams() — completeSpeciesParams","text":"validGivenSpeciesParams() checks validity given species parameters. throws error species column exist contains duplicates maximum size specified species weight-based parameter missing corresponding length-based parameter given, well b parameters length-weight conversion, weight-based parameters added. length weight given, weight used info_about_default condition signalled two inconsistent. w_inf column given w_max value w_inf used. backwards compatibility. note von Bertalanffy parameter w_inf maximum size largest individual, asymptotic size average individual. inconsistencies size parameters resolved follows: w_mat smaller w_max set w_max / 4. w_mat25 smaller w_mat set NA. w_min smaller w_mat set 0.001 w_mat /10, whichever smaller. w_repro_max larger w_mat set 4 * w_mat. row names returned data frame species names. species_params provided tibble converted back ordinary data frame. function tests typical misspellings parameter names, like wrong capitalisation missing underscores issues warning detects name. validSpeciesParams() first calls validGivenSpeciesParams() goes adding default values species parameters provided. function sets default values following species parameters missing NA: w_repro_max set w_max w_mat set w_max/4 w_min set 0.001 alpha set 0.6 interaction_resource set 1 n set 3/4 p set n z_ext set 0 d set n - 1 E_ext set 0 D_ext set 0 Note species parameters returned functions guaranteed produce viable model. checks parameters performed individual rate-setting functions (see setParams() list functions).","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/constantEggRDI.html","id":null,"dir":"Reference","previous_headings":"","what":"Choose egg production to keep egg density constant — constantEggRDI","title":"Choose egg production to keep egg density constant — constantEggRDI","text":"new egg production set compensate loss individuals smallest size class growth mortality. result modified density dependence, used together noRDD() function, see example.","code":""},{"path":"https://sizespectrum.org/mizer/reference/constantEggRDI.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Choose egg production to keep egg density constant — constantEggRDI","text":"","code":"constantEggRDI(params, n, e_growth, mort, ...)"},{"path":"https://sizespectrum.org/mizer/reference/constantEggRDI.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Choose egg production to keep egg density constant — constantEggRDI","text":"params MizerParams object n matrix species abundances (species x size). e_growth two dimensional array (species x size) holding energy available growth calculated mizerEGrowth(). mort two dimensional array (species x size) holding mortality rate calculated mizerMort(). ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/constantEggRDI.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Choose egg production to keep egg density constant — constantEggRDI","text":"Vector value species","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/constantEggRDI.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Choose egg production to keep egg density constant — constantEggRDI","text":"","code":"# \\donttest{ # choose an example params object params <- NS_params # We set the reproduction rate functions params <- setRateFunction(params, \"RDI\", \"constantEggRDI\") params <- setRateFunction(params, \"RDD\", \"noRDD\") # Now the egg density should stay fixed no matter how we fish sim <- project(params, effort = 10, progress_bar = FALSE) # To check that indeed the egg densities have not changed, we first construct # the indices for addressing the egg densities no_sp <- nrow(params@species_params) idx <- (params@w_min_idx - 1) * no_sp + (1:no_sp) # Now we can check equality between egg densities at the start and the end all.equal(finalN(sim)[idx], initialN(params)[idx]) #> [1] TRUE # }"},{"path":"https://sizespectrum.org/mizer/reference/constantRDD.html","id":null,"dir":"Reference","previous_headings":"","what":"Give constant reproduction rate — constantRDD","title":"Give constant reproduction rate — constantRDD","text":"Simply returns value species_params$constant_reproduction.","code":""},{"path":"https://sizespectrum.org/mizer/reference/constantRDD.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Give constant reproduction rate — constantRDD","text":"","code":"constantRDD(rdi, species_params, ...)"},{"path":"https://sizespectrum.org/mizer/reference/constantRDD.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Give constant reproduction rate — constantRDD","text":"rdi Vector density-independent reproduction rates \\(R_{di}\\) species. species_params species parameter dataframe. Must contain column constant_reproduction. ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/constantRDD.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Give constant reproduction rate — constantRDD","text":"Vector species_params$constant_reproduction","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/constant_other.html","id":null,"dir":"Reference","previous_headings":"","what":"Helper function to keep other components constant — constant_other","title":"Helper function to keep other components constant — constant_other","text":"Helper function keep components constant","code":""},{"path":"https://sizespectrum.org/mizer/reference/constant_other.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Helper function to keep other components constant — constant_other","text":"","code":"constant_other(params, n_other, component, ...)"},{"path":"https://sizespectrum.org/mizer/reference/constant_other.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Helper function to keep other components constant — constant_other","text":"params MizerParams object n_other Abundances components component Name component updated ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/constant_other.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Helper function to keep other components constant — constant_other","text":"current value component","code":""},{"path":"https://sizespectrum.org/mizer/reference/customFunction.html","id":null,"dir":"Reference","previous_headings":"","what":"Replace a mizer function with a custom version — customFunction","title":"Replace a mizer function with a custom version — customFunction","text":"function allows make arbitrary changes mizer works allowing replace mizer function version. last resort, find can use standard mizer extension mechanism achieve goal.","code":""},{"path":"https://sizespectrum.org/mizer/reference/customFunction.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Replace a mizer function with a custom version — customFunction","text":"","code":"customFunction(name, fun)"},{"path":"https://sizespectrum.org/mizer/reference/customFunction.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Replace a mizer function with a custom version — customFunction","text":"name Name mizer function replace fun custom function use replacement","code":""},{"path":"https://sizespectrum.org/mizer/reference/customFunction.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Replace a mizer function with a custom version — customFunction","text":"return value, called side effects","code":""},{"path":"https://sizespectrum.org/mizer/reference/customFunction.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Replace a mizer function with a custom version — customFunction","text":"function need overwrite one mizer rate functions, use setRateFunction() instead function. Similarly use resource_dynamics()<- change resource dynamics setReproduction() change density-dependence reproduction. also investigate whether can achieve goal introducing additional ecosystem components setComponent(). find goal really require overwrite mizer function, please also create issue mizer issue tracker https://github.com/sizespectrum/mizer/issues describe goal, interesting mizer community may motivate future improvements mizer functionality. Note customFunction() overwrites function used mizer code. overwrite function exported mizer. become clear run code Examples section. function way check replacement function compatible mizer. Calling function can totally break mizer. However can always undo effect reloading mizer ","code":"detach(package:mizer, unload = TRUE) library(mizer)"},{"path":"https://sizespectrum.org/mizer/reference/customFunction.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Replace a mizer function with a custom version — customFunction","text":"","code":"if (FALSE) { # \\dontrun{ fake_project <- function(...) \"Fake\" customFunction(\"project\", fake_project) mizer::project(NS_params) # This will print \"Fake\" project(NS_params) # This will still use the old project() function # To undo the effect: customFunction(\"project\", project) mizer::project(NS_params) # This will again use the old project() } # }"},{"path":"https://sizespectrum.org/mizer/reference/default_pred_kernel_params.html","id":null,"dir":"Reference","previous_headings":"","what":"Set defaults for predation kernel parameters — default_pred_kernel_params","title":"Set defaults for predation kernel parameters — default_pred_kernel_params","text":"predation kernel type specified species, set \"lognormal\" default values set parameters beta sigma.","code":""},{"path":"https://sizespectrum.org/mizer/reference/default_pred_kernel_params.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Set defaults for predation kernel parameters — default_pred_kernel_params","text":"","code":"default_pred_kernel_params(object)"},{"path":"https://sizespectrum.org/mizer/reference/default_pred_kernel_params.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Set defaults for predation kernel parameters — default_pred_kernel_params","text":"object Either MizerParams object species parameter data frame","code":""},{"path":"https://sizespectrum.org/mizer/reference/default_pred_kernel_params.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Set defaults for predation kernel parameters — default_pred_kernel_params","text":"object updated columns species params data frame.","code":""},{"path":"https://sizespectrum.org/mizer/reference/defaults_edition.html","id":null,"dir":"Reference","previous_headings":"","what":"Default editions — defaults_edition","title":"Default editions — defaults_edition","text":"Function set get edition default choices used.","code":""},{"path":"https://sizespectrum.org/mizer/reference/defaults_edition.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Default editions — defaults_edition","text":"","code":"defaults_edition(edition = NULL)"},{"path":"https://sizespectrum.org/mizer/reference/defaults_edition.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Default editions — defaults_edition","text":"edition NULL numerical value.","code":""},{"path":"https://sizespectrum.org/mizer/reference/defaults_edition.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Default editions — defaults_edition","text":"edition NULL, currently active edition number. edition supplied, function sets global mizer_defaults_edition option, emits message, returns supplied value invisibly.","code":""},{"path":"https://sizespectrum.org/mizer/reference/defaults_edition.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Default editions — defaults_edition","text":"mizer functions creating new models make lot choices default values parameters provided user. Sometimes find better ways choose defaults update mizer accordingly. , increase edition number. call defaults_edition() without argument returns currently active edition. Otherwise sets active edition given value. Users want existing code creating models change behaviour run future versions mizer explicitly set desired defaults edition top code. recent edition edition 2. become default next release. current default edition 1. following defaults changed edition 2: catchability = 0.3 instead 1 initial effort = 1 instead 0 gamma set ensure feeding level f0 larvae current value interaction_resource instead interaction_resource = 1`. initial_n set using get_steady_state_n() instead rather arbitrary old choice. setReproduction(), psi longer forced 1 w_repro_max; value determined entirely maturity ogive reproductive proportion.","code":""},{"path":"https://sizespectrum.org/mizer/reference/defineExtensionClasses.html","id":null,"dir":"Reference","previous_headings":"","what":"Define S4 marker classes for a set of dispatch extensions — defineExtensionClasses","title":"Define S4 marker classes for a set of dispatch extensions — defineExtensionClasses","text":"Creates linear inheritance chain S4 classes: outermost extension extends next, extends next, base MizerParams / MizerSim class. Existing classes checked compatibility instead redefined.","code":""},{"path":"https://sizespectrum.org/mizer/reference/defineExtensionClasses.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Define S4 marker classes for a set of dispatch extensions — defineExtensionClasses","text":"","code":"defineExtensionClasses(extensions)"},{"path":"https://sizespectrum.org/mizer/reference/defineExtensionClasses.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Define S4 marker classes for a set of dispatch extensions — defineExtensionClasses","text":"extensions Named character vector extensions (full chain dispatch subset). Non-dispatch entries silently ignored.","code":""},{"path":"https://sizespectrum.org/mizer/reference/defineExtensionClasses.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Define S4 marker classes for a set of dispatch extensions — defineExtensionClasses","text":"Invisibly, named character vector dispatch extensions.","code":""},{"path":"https://sizespectrum.org/mizer/reference/defineOrCheckClass.html","id":null,"dir":"Reference","previous_headings":"","what":"Define an S4 class or verify it extends the expected parent — defineOrCheckClass","title":"Define an S4 class or verify it extends the expected parent — defineOrCheckClass","text":"class yet exist, defines virtual-free S4 class contains parent, registered .GlobalEnv. class already exists, stops error unless already extends parent.","code":""},{"path":"https://sizespectrum.org/mizer/reference/defineOrCheckClass.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Define an S4 class or verify it extends the expected parent — defineOrCheckClass","text":"","code":"defineOrCheckClass(class, parent)"},{"path":"https://sizespectrum.org/mizer/reference/defineOrCheckClass.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Define an S4 class or verify it extends the expected parent — defineOrCheckClass","text":"class Character string — S4 class name define check. parent Character string — required parent class.","code":""},{"path":"https://sizespectrum.org/mizer/reference/defineOrCheckClass.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Define an S4 class or verify it extends the expected parent — defineOrCheckClass","text":"Invisibly, class.","code":""},{"path":"https://sizespectrum.org/mizer/reference/different.html","id":null,"dir":"Reference","previous_headings":"","what":"Check whether two objects are different — different","title":"Check whether two objects are different — different","text":"Check whether two objects numerically different, ignoring attributes.","code":""},{"path":"https://sizespectrum.org/mizer/reference/different.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Check whether two objects are different — different","text":"","code":"different(a, b)"},{"path":"https://sizespectrum.org/mizer/reference/different.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Check whether two objects are different — different","text":"First object b Second object","code":""},{"path":"https://sizespectrum.org/mizer/reference/different.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Check whether two objects are different — different","text":"TRUE FALSE","code":""},{"path":"https://sizespectrum.org/mizer/reference/different.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Check whether two objects are different — different","text":"use helper function particular see new value slot MizerParams different existing value order give appropriate messages.","code":""},{"path":"https://sizespectrum.org/mizer/reference/dispatchExtensions.html","id":null,"dir":"Reference","previous_headings":"","what":"Filter an extension vector to those that participate in S3/S4 dispatch — dispatchExtensions","title":"Filter an extension vector to those that participate in S3/S4 dispatch — dispatchExtensions","text":"extension participates dispatch requirement NA_character_ (-development) S4 class name already exists.","code":""},{"path":"https://sizespectrum.org/mizer/reference/dispatchExtensions.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Filter an extension vector to those that participate in S3/S4 dispatch — dispatchExtensions","text":"","code":"dispatchExtensions(extensions)"},{"path":"https://sizespectrum.org/mizer/reference/dispatchExtensions.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Filter an extension vector to those that participate in S3/S4 dispatch — dispatchExtensions","text":"extensions Named character vector extensions.","code":""},{"path":"https://sizespectrum.org/mizer/reference/dispatchExtensions.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Filter an extension vector to those that participate in S3/S4 dispatch — dispatchExtensions","text":"named character vector containing dispatch extensions, preserving order.","code":""},{"path":"https://sizespectrum.org/mizer/reference/distanceMaxRelRDI.html","id":null,"dir":"Reference","previous_headings":"","what":"Measure distance between current and previous state in terms of RDI — distanceMaxRelRDI","title":"Measure distance between current and previous state in terms of RDI — distanceMaxRelRDI","text":"function can used projectToSteady() decide sufficient convergence steady state achieved.","code":""},{"path":"https://sizespectrum.org/mizer/reference/distanceMaxRelRDI.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Measure distance between current and previous state in terms of RDI — distanceMaxRelRDI","text":"","code":"distanceMaxRelRDI(params, current, previous)"},{"path":"https://sizespectrum.org/mizer/reference/distanceMaxRelRDI.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Measure distance between current and previous state in terms of RDI — distanceMaxRelRDI","text":"params MizerParams current named list entries n, n_pp n_other describing current state previous named list entries n, n_pp n_other describing previous state","code":""},{"path":"https://sizespectrum.org/mizer/reference/distanceMaxRelRDI.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Measure distance between current and previous state in terms of RDI — distanceMaxRelRDI","text":"largest absolute relative change rdi: max(abs((current_rdi - previous_rdi) / previous_rdi)). entry previous_rdi zero, result can infinite.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/distanceSSLogN.html","id":null,"dir":"Reference","previous_headings":"","what":"Measure distance between current and previous state in terms of fish abundances — distanceSSLogN","title":"Measure distance between current and previous state in terms of fish abundances — distanceSSLogN","text":"Calculates sum squared difference log(N) current previous state. function can used projectToSteady() decide sufficient convergence steady state achieved.","code":""},{"path":"https://sizespectrum.org/mizer/reference/distanceSSLogN.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Measure distance between current and previous state in terms of fish abundances — distanceSSLogN","text":"","code":"distanceSSLogN(params, current, previous)"},{"path":"https://sizespectrum.org/mizer/reference/distanceSSLogN.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Measure distance between current and previous state in terms of fish abundances — distanceSSLogN","text":"params MizerParams current named list entries n, n_pp n_other describing current state previous named list entries n, n_pp n_other describing previous state","code":""},{"path":"https://sizespectrum.org/mizer/reference/distanceSSLogN.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Measure distance between current and previous state in terms of fish abundances — distanceSSLogN","text":"sum squares difference logs (nonzero) fish abundances n, ignoring entries either state zero abundance: sum((log(current$n) - log(previous$n))^2)","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/dot-checkRateFunctionOutput.html","id":null,"dir":"Reference","previous_headings":"","what":"Check that a rate function returns the correct output dimensions — .checkRateFunctionOutput","title":"Check that a rate function returns the correct output dimensions — .checkRateFunctionOutput","text":"Called setRateFunction() verify candidate rate function returns array (vector/list) correct dimensions requested rate.","code":""},{"path":"https://sizespectrum.org/mizer/reference/dot-checkRateFunctionOutput.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Check that a rate function returns the correct output dimensions — .checkRateFunctionOutput","text":"","code":".checkRateFunctionOutput(params, rate, fun)"},{"path":"https://sizespectrum.org/mizer/reference/dot-checkRateFunctionOutput.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Check that a rate function returns the correct output dimensions — .checkRateFunctionOutput","text":"params MizerParams object rate Name rate replaced, e.g. \"Encounter\". fun Name candidate function validate.","code":""},{"path":"https://sizespectrum.org/mizer/reference/dot-checkRateFunctionOutput.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Check that a rate function returns the correct output dimensions — .checkRateFunctionOutput","text":"Invisibly NULL. Called side-effect stopping informative error output wrong shape.","code":""},{"path":"https://sizespectrum.org/mizer/reference/double_sigmoid_length.html","id":null,"dir":"Reference","previous_headings":"","what":"Length based double-sigmoid selectivity function — double_sigmoid_length","title":"Length based double-sigmoid selectivity function — double_sigmoid_length","text":"hump-shaped selectivity function sigmoidal rise independent sigmoidal drop-. drop-distinguishes function sigmoid_length() intended model escape large individuals fishing gear.","code":""},{"path":"https://sizespectrum.org/mizer/reference/double_sigmoid_length.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Length based double-sigmoid selectivity function — double_sigmoid_length","text":"","code":"double_sigmoid_length(w, l25, l50, l50_right, l25_right, species_params, ...)"},{"path":"https://sizespectrum.org/mizer/reference/double_sigmoid_length.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Length based double-sigmoid selectivity function — double_sigmoid_length","text":"w Vector sizes. l25 length gives selectivity 25%. l50 length gives selectivity 50%. l50_right length gives selectivity 50%. l25_right length gives selectivity 25%. species_params list species params current species. Used get length-weight parameters b ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/double_sigmoid_length.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Length based double-sigmoid selectivity function — double_sigmoid_length","text":"Vector selectivities given sizes. Requires l25 < l50 < l50_right < l25_right.","code":""},{"path":"https://sizespectrum.org/mizer/reference/double_sigmoid_length.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Length based double-sigmoid selectivity function — double_sigmoid_length","text":"selectivity obtained product two sigmoidal curves, one rising one dropping. sigmoidal rise based two parameters l25 l50 determine length 25% 50% stock selected respectively. sigmoidal drop-based two parameters l50_right l25_right determine length selectivity curve dropped back 50% 25% respectively. selectivity given function $$S(l) = \\frac{1}{1 + \\exp\\left(\\log(3)\\frac{l50 -l}{l50 - l25}\\right)}\\frac{1}{1 + \\exp\\left(\\log(3)\\frac{l50_{right} -l}{l50_{right} - l25_{right}}\\right)}$$ size-based model weight based, selectivity function length based, uses length-weight parameters b convert length weight. $$l = \\left(\\frac{w}{}\\right)^{1/b}$$","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/emptyParams.html","id":null,"dir":"Reference","previous_headings":"","what":"Create empty MizerParams object of the right size — emptyParams","title":"Create empty MizerParams object of the right size — emptyParams","text":"internal function. Sets valid MizerParams object slots initialised given dimension names, slots left empty. function used functions set full parameter objects.","code":""},{"path":"https://sizespectrum.org/mizer/reference/emptyParams.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Create empty MizerParams object of the right size — emptyParams","text":"","code":"emptyParams(   species_params,   gear_params = data.frame(),   no_w = 100,   min_w = 0.001,   max_w = NA,   min_w_pp = 1e-12 )"},{"path":"https://sizespectrum.org/mizer/reference/emptyParams.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Create empty MizerParams object of the right size — emptyParams","text":"species_params data frame species-specific parameter values. gear_params data frame gear-specific parameter values. no_w number size bins consumer spectrum. min_w Sets size eggs species given w_min column species_params dataframe. max_w largest size consumer spectrum. default set largest w_max specified species_params data frame. min_w_pp smallest size resource spectrum.","code":""},{"path":"https://sizespectrum.org/mizer/reference/emptyParams.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Create empty MizerParams object of the right size — emptyParams","text":"empty valid MizerParams object","code":""},{"path":"https://sizespectrum.org/mizer/reference/emptyParams.html","id":"size-grid","dir":"Reference","previous_headings":"","what":"Size grid","title":"Create empty MizerParams object of the right size — emptyParams","text":"size grid created log-sizes equally spaced. spacing chosen no_w fish size bins, smallest starting min_w largest starting max_w. resource spectrum larger set bins containing additional bins min_w, log size. number extra bins min_w_pp comes lie within smallest bin.","code":""},{"path":"https://sizespectrum.org/mizer/reference/emptyParams.html","id":"changes-to-species-params","dir":"Reference","previous_headings":"","what":"Changes to species params","title":"Create empty MizerParams object of the right size — emptyParams","text":"species_params slot returned MizerParams object may differ data frame supplied argument function default values set missing parameters.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/ensureExtensionNamespaces.html","id":null,"dir":"Reference","previous_headings":"","what":"Load (and optionally install) namespaces for all non-NA extensions — ensureExtensionNamespaces","title":"Load (and optionally install) namespaces for all non-NA extensions — ensureExtensionNamespaces","text":"extension whose requirement NA_character_, checks package installed --date, installs upgrades via pak::pkg_install() install = TRUE, calls loadNamespace().","code":""},{"path":"https://sizespectrum.org/mizer/reference/ensureExtensionNamespaces.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Load (and optionally install) namespaces for all non-NA extensions — ensureExtensionNamespaces","text":"","code":"ensureExtensionNamespaces(extensions, install = FALSE)"},{"path":"https://sizespectrum.org/mizer/reference/ensureExtensionNamespaces.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Load (and optionally install) namespaces for all non-NA extensions — ensureExtensionNamespaces","text":"extensions Named character vector extensions. install Logical. TRUE, install upgrade missing/outdated packages via pak::pkg_install().","code":""},{"path":"https://sizespectrum.org/mizer/reference/ensureExtensionNamespaces.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Load (and optionally install) namespaces for all non-NA extensions — ensureExtensionNamespaces","text":"Invisibly TRUE.","code":""},{"path":"https://sizespectrum.org/mizer/reference/expandSizeGrid.html","id":null,"dir":"Reference","previous_headings":"","what":"Expand the size grid — expandSizeGrid","title":"Expand the size grid — expandSizeGrid","text":"function expands size grid MizerParams object desired min max size, preserving existing species.","code":""},{"path":"https://sizespectrum.org/mizer/reference/expandSizeGrid.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Expand the size grid — expandSizeGrid","text":"","code":"expandSizeGrid(params, ...)  # S3 method for class 'MizerParams' expandSizeGrid(   params,   new_min_w = min(params@w),   new_max_w = max(params@w),   preserve_species = params@species_params$species,   ... )"},{"path":"https://sizespectrum.org/mizer/reference/expandSizeGrid.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Expand the size grid — expandSizeGrid","text":"params MizerParams object. ... Additional arguments (currently unused). new_min_w new minimum size grid. Must larger current minimum size. new_max_w new maximum size grid. Must smaller current maximum size. preserve_species vector species names rate arrays copied new params object rather re-calculated species parameters. missing, species preserved.","code":""},{"path":"https://sizespectrum.org/mizer/reference/expandSizeGrid.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Expand the size grid — expandSizeGrid","text":"new MizerParams object updated size grid.","code":""},{"path":"https://sizespectrum.org/mizer/reference/finalN.html","id":null,"dir":"Reference","previous_headings":"","what":"Size spectra at end of simulation — finalN","title":"Size spectra at end of simulation — finalN","text":"Size spectra end simulation","code":""},{"path":"https://sizespectrum.org/mizer/reference/finalN.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Size spectra at end of simulation — finalN","text":"","code":"finalN(sim)  finalNResource(sim)  idxFinalT(sim)"},{"path":"https://sizespectrum.org/mizer/reference/finalN.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Size spectra at end of simulation — finalN","text":"sim MizerSim object","code":""},{"path":"https://sizespectrum.org/mizer/reference/finalN.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Size spectra at end of simulation — finalN","text":"finalN(): ArraySpeciesBySize object (species x size) holding consumer number densities end simulation finalNResource(): vector holding resource number densities end simulation size classes idxFinalT(): integer giving index extracting results final time step","code":""},{"path":"https://sizespectrum.org/mizer/reference/finalN.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Size spectra at end of simulation — finalN","text":"","code":"str(finalN(NS_sim)) #>  'ArraySpeciesBySize' num [1:12, 1:100] 1.53e+13 5.89e+12 1.10e+14 1.37e+13 1.16e+11 ... #>  - attr(*, \"dimnames\")=List of 2 #>   ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   ..$ w : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... #>  - attr(*, \"value_name\")= chr \"Number density\" #>  - attr(*, \"params\")=Formal class 'MizerParams' [package \"mizer\"] with 46 slots #>   .. ..@ metadata               : list() #>   .. ..@ mizer_version          :Classes 'package_version', 'numeric_version'  hidden list of 1 #>   .. .. ..$ : int [1:4] 2 5 4 9123 #>   .. ..@ extensions             : chr(0)  #>   .. ..@ time_created           : POSIXct[1:1], format: \"2021-09-03 20:30:02\" #>   .. ..@ time_modified          : POSIXct[1:1], format: \"2026-04-12 11:31:45\" #>   .. ..@ w                      : num [1:100] 0.001 0.00119 0.00142 0.0017 0.00203 ... #>   .. ..@ dw                     : num [1:100] 0.000193 0.000231 0.000275 0.000329 0.000392 ... #>   .. ..@ w_full                 : num [1:218] 8.73e-13 1.04e-12 1.24e-12 1.48e-12 1.77e-12 ... #>   .. ..@ dw_full                : num [1:218] 1.69e-13 2.01e-13 2.40e-13 2.87e-13 3.42e-13 ... #>   .. ..@ w_min_idx              : Named num [1:12] 1 1 1 1 1 1 1 1 1 1 ... #>   .. .. ..- attr(*, \"names\")= chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. ..@ maturity               : num [1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ w : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... #>   .. ..@ psi                    : num [1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ w : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... #>   .. ..@ initial_n              : num [1:12, 1:100] 1.67e+13 5.82e+12 1.19e+14 1.36e+13 1.17e+11 ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ w : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... #>   .. ..@ intake_max             : num [1:12, 1:100] 0.145 0.256 0.312 0.284 0.349 ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ w : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... #>   .. ..@ search_vol             : num [1:12, 1:100] 4.39e-13 2.94e-13 7.57e-13 1.95e-13 5.89e-13 ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ w : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... #>   .. ..@ metab                  : num [1:12, 1:100] 0.0127 0.0233 0.0268 0.0232 0.03 ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ w : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... #>   .. ..@ pred_kernel            : logi [1(1d)] NA #>   .. ..@ ft_pred_kernel_e       : cplx [1:12, 1:218] 11.3+0i 26.9+0i 20.8+0i ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ k : chr [1:218] \"1\" \"2\" \"3\" \"4\" ... #>   .. ..@ ft_pred_kernel_p       : cplx [1:12, 1:218] 11.3+0i 26.9+0i 20.8+0i ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ k : chr [1:218] \"1\" \"2\" \"3\" \"4\" ... #>   .. ..@ mu_b                   : num [1:12, 1:100] 0.1871 0.1817 0.1293 0.0865 0.0874 ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ w : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... #>   .. ..@ ext_encounter          : num [1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ w : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... #>   .. ..@ ext_diffusion          : num [1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ w : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... #>   .. ..@ rr_pp                  : Named num [1:218] 104642 98654 93009 87686 82669 ... #>   .. .. ..- attr(*, \"names\")= chr [1:218] \"8.73e-13\" \"1.04e-12\" \"1.24e-12\" \"1.48e-12\" ... #>   .. ..@ cc_pp                  : Named num [1:218] 4.88e+35 3.40e+35 2.36e+35 1.64e+35 1.14e+35 ... #>   .. .. ..- attr(*, \"names\")= chr [1:218] \"8.73e-13\" \"1.04e-12\" \"1.24e-12\" \"1.48e-12\" ... #>   .. ..@ resource_dynamics      : chr \"resource_semichemostat\" #>   .. ..@ resource_params        :List of 5 #>   .. .. ..$ kappa      : num 9.27e+10 #>   .. .. ..$ lambda     : num 2.05 #>   .. .. ..$ r_pp       : num 10 #>   .. .. ..$ n          : num 0.667 #>   .. .. ..$ w_pp_cutoff: num 10 #>   .. ..@ other_dynamics         : list() #>   .. ..@ other_params           : list() #>   .. ..@ other_encounter        : list() #>   .. ..@ other_mort             : list() #>   .. ..@ rates_funcs            :List of 14 #>   .. .. ..$ Rates          : chr \"mizerRates\" #>   .. .. ..$ Encounter      : chr \"mizerEncounter\" #>   .. .. ..$ FeedingLevel   : chr \"mizerFeedingLevel\" #>   .. .. ..$ EReproAndGrowth: chr \"mizerEReproAndGrowth\" #>   .. .. ..$ PredRate       : chr \"mizerPredRate\" #>   .. .. ..$ PredMort       : chr \"mizerPredMort\" #>   .. .. ..$ FMort          : chr \"mizerFMort\" #>   .. .. ..$ Mort           : chr \"mizerMort\" #>   .. .. ..$ ERepro         : chr \"mizerERepro\" #>   .. .. ..$ EGrowth        : chr \"mizerEGrowth\" #>   .. .. ..$ ResourceMort   : chr \"mizerResourceMort\" #>   .. .. ..$ RDI            : chr \"mizerRDI\" #>   .. .. ..$ RDD            : chr \"BevertonHoltRDD\" #>   .. .. ..$ Diffusion      : chr \"mizerDiffusion\" #>   .. ..@ sc                     : num [1:100] 0.001 0.00119 0.00142 0.0017 0.00203 ... #>   .. ..@ initial_n_pp           : Named num [1:218] 4.88e+35 3.40e+35 2.36e+35 1.64e+35 1.14e+35 ... #>   .. .. ..- attr(*, \"names\")= chr [1:218] \"8.73e-13\" \"1.04e-12\" \"1.24e-12\" \"1.48e-12\" ... #>   .. ..@ initial_n_other        : list() #>   .. ..@ species_params         :'data.frame':\t12 obs. of  29 variables: #>   .. .. ..$ species             : chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. ..$ w_max               : num [1:12] 33 36 100 334 324 ... #>   .. .. ..$ w_mat               : int [1:12] 13 4 23 99 21 75 78 39 105 165 ... #>   .. .. ..$ beta                : int [1:12] 51076 398849 22 280540 191 22 381 283 113 558 ... #>   .. .. ..$ sigma               : num [1:12] 0.8 1.9 1.5 3.2 1.9 1.5 1.9 1.8 1.6 2.1 ... #>   .. .. ..$ k_vb                : num [1:12] 0.681 1 0.849 0.606 0.536 0.323 0.284 0.266 0.122 0.271 ... #>   .. .. ..$ R_max               : num [1:12] 7.38e+11 4.10e+11 1.05e+13 1.11e+12 1.12e+10 ... #>   .. .. ..$ a                   : num [1:12] 0.007 0.001 0.009 0.002 0.01 0.006 0.008 0.004 0.007 0.005 ... #>   .. .. ..$ b                   : num [1:12] 3.01 3.32 2.94 3.43 2.99 ... #>   .. .. ..$ w_min               : num [1:12] 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 ... #>   .. .. ..$ alpha               : num [1:12] 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 ... #>   .. .. ..$ interaction_resource: num [1:12] 1 1 1 1 1 1 1 1 1 1 ... #>   .. .. ..$ n                   : num [1:12] 0.667 0.667 0.667 0.667 0.667 ... #>   .. .. ..$ p                   : num [1:12] 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 ... #>   .. .. ..$ q                   : num [1:12] 0.717 0.717 0.717 0.717 0.717 ... #>   .. .. ..$ pred_kernel_type    : chr [1:12] \"lognormal\" \"lognormal\" \"lognormal\" \"lognormal\" ... #>   .. .. ..$ h                   : num [1:12] 14.5 25.6 31.2 28.4 34.9 ... #>   .. .. ..$ k                   : num [1:12] 0 0 0 0 0 0 0 0 0 0 ... #>   .. .. ..$ ks                  : num [1:12] 1.59 2.94 3.37 2.92 3.78 ... #>   .. .. ..$ z0                  : num [1:12] 0.1871 0.1817 0.1293 0.0865 0.0874 ... #>   .. .. ..$ gamma               : num [1:12] 6.20e-11 4.16e-11 1.07e-10 2.76e-11 8.31e-11 ... #>   .. .. ..$ w_mat25             : num [1:12] 11.65 3.58 20.61 88.7 18.82 ... #>   .. .. ..$ m                   : num [1:12] 1 1 1 1 1 1 1 1 1 1 ... #>   .. .. ..$ erepro              : num [1:12] 1 1 1 1 1 1 1 1 1 1 ... #>   .. .. ..$ w_repro_max         : num [1:12] 33 36 100 334 324 ... #>   .. .. ..$ is_background       : logi [1:12] FALSE FALSE FALSE FALSE FALSE FALSE ... #>   .. .. ..$ z_ext               : num [1:12] 0 0 0 0 0 0 0 0 0 0 ... #>   .. .. ..$ d                   : num [1:12] -0.333 -0.333 -0.333 -0.333 -0.333 ... #>   .. .. ..$ E_ext               : num [1:12] 0 0 0 0 0 0 0 0 0 0 ... #>   .. ..@ given_species_params   :'data.frame':\t12 obs. of  24 variables: #>   .. .. ..$ species             : chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. ..$ w_max               : num [1:12] 33 36 100 334 324 ... #>   .. .. ..$ w_mat               : int [1:12] 13 4 23 99 21 75 78 39 105 165 ... #>   .. .. ..$ beta                : int [1:12] 51076 398849 22 280540 191 22 381 283 113 558 ... #>   .. .. ..$ sigma               : num [1:12] 0.8 1.9 1.5 3.2 1.9 1.5 1.9 1.8 1.6 2.1 ... #>   .. .. ..$ k_vb                : num [1:12] 0.681 1 0.849 0.606 0.536 0.323 0.284 0.266 0.122 0.271 ... #>   .. .. ..$ R_max               : num [1:12] 7.38e+11 4.10e+11 1.05e+13 1.11e+12 1.12e+10 ... #>   .. .. ..$ a                   : num [1:12] 0.007 0.001 0.009 0.002 0.01 0.006 0.008 0.004 0.007 0.005 ... #>   .. .. ..$ b                   : num [1:12] 3.01 3.32 2.94 3.43 2.99 ... #>   .. .. ..$ w_min               : num [1:12] 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 ... #>   .. .. ..$ alpha               : num [1:12] 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 ... #>   .. .. ..$ interaction_resource: num [1:12] 1 1 1 1 1 1 1 1 1 1 ... #>   .. .. ..$ n                   : num [1:12] 0.667 0.667 0.667 0.667 0.667 ... #>   .. .. ..$ p                   : num [1:12] 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 ... #>   .. .. ..$ q                   : num [1:12] 0.717 0.717 0.717 0.717 0.717 ... #>   .. .. ..$ pred_kernel_type    : chr [1:12] \"lognormal\" \"lognormal\" \"lognormal\" \"lognormal\" ... #>   .. .. ..$ h                   : num [1:12] 14.5 25.6 31.2 28.4 34.9 ... #>   .. .. ..$ k                   : num [1:12] 0 0 0 0 0 0 0 0 0 0 ... #>   .. .. ..$ ks                  : num [1:12] 1.59 2.94 3.37 2.92 3.78 ... #>   .. .. ..$ z0                  : num [1:12] 0.1871 0.1817 0.1293 0.0865 0.0874 ... #>   .. .. ..$ gamma               : num [1:12] 6.20e-11 4.16e-11 1.07e-10 2.76e-11 8.31e-11 ... #>   .. .. ..$ w_mat25             : num [1:12] 11.65 3.58 20.61 88.7 18.82 ... #>   .. .. ..$ m                   : num [1:12] 1 1 1 1 1 1 1 1 1 1 ... #>   .. .. ..$ erepro              : num [1:12] 1 1 1 1 1 1 1 1 1 1 ... #>   .. ..@ interaction            : num [1:12, 1:12] 0.7291 0.0341 0.0635 0.2742 0.3624 ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ predator: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ prey    : chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. ..@ gear_params            :'data.frame':\t12 obs. of  6 variables: #>   .. .. ..$ species     : chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. ..$ gear        : chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. ..$ sel_func    : chr [1:12] \"sigmoid_length\" \"sigmoid_length\" \"sigmoid_length\" \"sigmoid_length\" ... #>   .. .. ..$ l25         : num [1:12] 7.6 9.8 8.7 10.1 11.5 19.8 16.4 19.8 11.5 19.1 ... #>   .. .. ..$ l50         : num [1:12] 8.1 11.8 12.2 20.8 17 29 25.8 29 17 24.3 ... #>   .. .. ..$ catchability: num [1:12] 1.24 0.886 1.24 0.573 0.124 ... #>   .. ..@ selectivity            : num [1:12, 1:12, 1:100] 5.9e-08 0.0 0.0 0.0 0.0 ... #>   .. .. ..- attr(*, \"dimnames\")=List of 3 #>   .. .. .. ..$ gear: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ sp  : chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ w   : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... #>   .. ..@ catchability           : num [1:12, 1:12] 1.24 0 0 0 0 ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ gear: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ sp  : chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. ..@ initial_effort         : Named num [1:12] 0 0 0 1.808 0.758 ... #>   .. .. ..- attr(*, \"names\")= chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. ..@ A                      : num [1:12] 1 1 1 1 1 1 1 1 1 1 ... #>   .. ..@ linecolour             : Named chr [1:17] \"#815f00\" \"#6237e2\" \"#8da600\" \"#de53ff\" ... #>   .. .. ..- attr(*, \"names\")= chr [1:17] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. ..@ linetype               : Named chr [1:17] \"solid\" \"solid\" \"solid\" \"solid\" ... #>   .. .. ..- attr(*, \"names\")= chr [1:17] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. ..@ ft_mask                : logi [1:12, 1:218] TRUE TRUE TRUE TRUE TRUE TRUE ... #>   .. ..@ use_predation_diffusion: logi FALSE  # This could also be obtained using `N()` and `idxFinalT()` identical(N(NS_sim)[idxFinalT(NS_sim), , ], finalN(NS_sim)) #> [1] FALSE str(finalNResource(NS_sim)) #>  Named num [1:218] 4.88e+35 3.40e+35 2.36e+35 1.64e+35 1.14e+35 ... #>  - attr(*, \"names\")= chr [1:218] \"8.73e-13\" \"1.04e-12\" \"1.24e-12\" \"1.48e-12\" ... idx <- idxFinalT(NS_sim) idx #> [1] 44 # This coincides with length(getTimes(NS_sim)) #> [1] 44 # and corresponds to the final time getTimes(NS_sim)[idx] #> [1] 2010 # We can use this index to extract the result at the final time identical(N(NS_sim)[idx, , ], finalN(NS_sim)) #> [1] FALSE identical(NResource(NS_sim)[idx, ], finalNResource(NS_sim)) #> [1] TRUE"},{"path":"https://sizespectrum.org/mizer/reference/formatExtensionChain.html","id":null,"dir":"Reference","previous_headings":"","what":"Format an extension chain as a human-readable string — formatExtensionChain","title":"Format an extension chain as a human-readable string — formatExtensionChain","text":"Format extension chain human-readable string","code":""},{"path":"https://sizespectrum.org/mizer/reference/formatExtensionChain.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Format an extension chain as a human-readable string — formatExtensionChain","text":"","code":"formatExtensionChain(extensions)"},{"path":"https://sizespectrum.org/mizer/reference/formatExtensionChain.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Format an extension chain as a human-readable string — formatExtensionChain","text":"extensions Named character vector extensions.","code":""},{"path":"https://sizespectrum.org/mizer/reference/formatExtensionChain.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Format an extension chain as a human-readable string — formatExtensionChain","text":"character string \"mizerExtB -> mizerExtA\", \"<empty>\" zero-length chain.","code":""},{"path":"https://sizespectrum.org/mizer/reference/gear_params.html","id":null,"dir":"Reference","previous_headings":"","what":"Gear parameters — gear_params","title":"Gear parameters — gear_params","text":"functions allow get set gear parameters stored MizerParams object. used setFishing() set selectivity catchability thus together fishing effort determine fishing mortality.","code":""},{"path":"https://sizespectrum.org/mizer/reference/gear_params.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Gear parameters — gear_params","text":"","code":"gear_params(params)  gear_params(params) <- value"},{"path":"https://sizespectrum.org/mizer/reference/gear_params.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Gear parameters — gear_params","text":"params MizerParams object value data frame gear parameters.","code":""},{"path":"https://sizespectrum.org/mizer/reference/gear_params.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Gear parameters — gear_params","text":"Data frame gear parameters","code":""},{"path":"https://sizespectrum.org/mizer/reference/gear_params.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Gear parameters — gear_params","text":"gear_params data one row gear-species pair one column parameter determines gear interacts species. columns : species name species gear name gear catchability number specifying strongly gear selects species. sel_func name function calculates selectivity curve. One column selectivity parameter needed selectivity functions. details see setFishing(). can optionally also column yield_observed allows specify gear species total annual fisheries yield. fishing effort, also needed determine fishing mortality exerted gear set via gear_params data frame set initial_effort() specified calling project(). change gear parameter, used recalculate selectivity catchability arrays calling setFishing(), unless previously set hand. gear_params<- automatically sets row names contain species name gear name, separated comma space. last example illustrates facilitates changing individual gear parameter.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/gear_params.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Gear parameters — gear_params","text":"","code":"params <- NS_params  # gears set up in example gear_params(params) #>                           gear species   sel_func knife_edge_size catchability #> Sprat, Industrial   Industrial   Sprat knife_edge              13            1 #> Sandeel, Industrial Industrial Sandeel knife_edge               4            1 #> N.pout, Industrial  Industrial  N.pout knife_edge              23            1 #> Herring, Pelagic       Pelagic Herring knife_edge              99            1 #> Dab, Beam                 Beam     Dab knife_edge              21            1 #> Whiting, Otter           Otter Whiting knife_edge              75            1 #> Sole, Beam                Beam    Sole knife_edge              78            1 #> Gurnard, Otter           Otter Gurnard knife_edge              39            1 #> Plaice, Beam              Beam  Plaice knife_edge             105            1 #> Haddock, Otter           Otter Haddock knife_edge             165            1 #> Cod, Otter               Otter     Cod knife_edge            1606            1 #> Saithe, Otter            Otter  Saithe knife_edge            1076            1  # setting totally different gears gear_params(params) <- data.frame(     gear = c(\"gear1\", \"gear2\", \"gear1\"),     species = c(\"Cod\", \"Cod\", \"Haddock\"),     catchability = c(0.5, 2, 1),     sel_fun = c(\"sigmoid_weight\", \"knife_edge\", \"sigmoid_weight\"),     sigmoidal_weight = c(1000, NA, 800),     sigmoidal_sigma = c(100, NA, 100),     knife_edge_size = c(NA, 1000, NA)     ) gear_params(params) #>                 gear species catchability        sel_fun sigmoidal_weight #> Cod, gear1     gear1     Cod          0.5 sigmoid_weight             1000 #> Cod, gear2     gear2     Cod          2.0     knife_edge               NA #> Haddock, gear1 gear1 Haddock          1.0 sigmoid_weight              800 #>                sigmoidal_sigma knife_edge_size   sel_func #> Cod, gear1                 100            1606 knife_edge #> Cod, gear2                  NA            1000 knife_edge #> Haddock, gear1             100             165 knife_edge  # changing an individual entry gear_params(params)[\"Cod, gear1\", \"catchability\"] <- 0.8"},{"path":"https://sizespectrum.org/mizer/reference/getBiomass.html","id":null,"dir":"Reference","previous_headings":"","what":"Calculate the total biomass of each species within a size range at each time step. — getBiomass","title":"Calculate the total biomass of each species within a size range at each time step. — getBiomass","text":"Calculates total biomass time within user defined size limits. default option use size range starting size specified biomass_cutoff species parameter, set, else full size range species. can specify minimum maximum weight length range species. Lengths take precedence weights (.e. min_l min_w supplied, min_l used).","code":""},{"path":"https://sizespectrum.org/mizer/reference/getBiomass.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Calculate the total biomass of each species within a size range at each time step. — getBiomass","text":"","code":"getBiomass(object, use_cutoff = FALSE, ...)"},{"path":"https://sizespectrum.org/mizer/reference/getBiomass.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Calculate the total biomass of each species within a size range at each time step. — getBiomass","text":"object object class MizerParams MizerSim. use_cutoff TRUE, biomass_cutoff column species parameters used minimum weight species (ignoring size range arguments ...). FALSE (default), specified size range arguments used, provided, full size range species used. ... Arguments passed get_size_range_array min_w Smallest weight size range. Defaults smallest weight model. max_w Largest weight size range. Defaults largest weight model. min_l Smallest length size range. supplied, takes precedence min_w. max_l Largest length size range. supplied, takes precedence max_w.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getBiomass.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Calculate the total biomass of each species within a size range at each time step. — getBiomass","text":"called MizerParams object, named vector biomass grams species model. called MizerSim object, ArraySpeciesByTime object (time x species) containing biomass grams time step species.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getBiomass.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Calculate the total biomass of each species within a size range at each time step. — getBiomass","text":"size range arguments provided, function checks biomass_cutoff column exists species parameters. , values used minimum weight species. species NA values biomass_cutoff, default minimum weight (smallest weight model) used.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/getBiomass.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Calculate the total biomass of each species within a size range at each time step. — getBiomass","text":"","code":"biomass <- getBiomass(NS_sim) biomass[\"1972\", \"Herring\"] #> [1] 218218354800 biomass <- getBiomass(NS_sim, min_w = 10, max_w = 1000) biomass[\"1972\", \"Herring\"] #> [1] 154290431041  # If species_params contains a `biomass_cutoff`` column, it can be used # as the minimum weight when use_cutoff = TRUE species_params(NS_sim@params)$biomass_cutoff <- 10 biomass <- getBiomass(NS_sim, use_cutoff = TRUE)  # Uses biomass_cutoff as min_w biomass[\"1972\", \"Herring\"] #> [1] 154290431041"},{"path":"https://sizespectrum.org/mizer/reference/getCommunitySlope.html","id":null,"dir":"Reference","previous_headings":"","what":"Calculate the slope of the community abundance — getCommunitySlope","title":"Calculate the slope of the community abundance — getCommunitySlope","text":"Calculates slope community abundance performing linear regression logged total numerical abundance weight logged weights (natural logs, log base 10, used). can specify minimum maximum weight length range species. Lengths take precedence weights (.e. min_l min_w supplied, min_l used). can also specify species used calculation.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getCommunitySlope.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Calculate the slope of the community abundance — getCommunitySlope","text":"","code":"getCommunitySlope(sim, species = NULL, biomass = TRUE, ...)"},{"path":"https://sizespectrum.org/mizer/reference/getCommunitySlope.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Calculate the slope of the community abundance — getCommunitySlope","text":"sim MizerSim MizerParams object species species selected. Optional. default target species selected. vector species names, numeric vector species indices, logical vector indicating species whether selected (TRUE) . biomass Boolean. TRUE (default), abundance based biomass, FALSE abundance based numbers. ... Arguments passed get_size_range_array min_w Smallest weight size range. Defaults smallest weight model. max_w Largest weight size range. Defaults largest weight model. min_l Smallest length size range. supplied, takes precedence min_w. max_l Largest length size range. supplied, takes precedence max_w.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getCommunitySlope.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Calculate the slope of the community abundance — getCommunitySlope","text":"data.frame columns slope, intercept coefficient determination R^2 (time step column called MizerSim object).","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/getCommunitySlope.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Calculate the slope of the community abundance — getCommunitySlope","text":"","code":"# Slope based on biomass, using all species and sizes slope_biomass <- getCommunitySlope(NS_sim) slope_biomass[1, ] # in 1976 #>          slope intercept        r2 #> 1967 -0.830658  25.43745 0.8878355 slope_biomass[idxFinalT(NS_sim), ] # in 2010 #>           slope intercept       r2 #> 2010 -0.7925937  25.61399 0.935702  # Slope based on numbers, using all species and sizes slope_numbers <- getCommunitySlope(NS_sim, biomass = FALSE) slope_numbers[1, ] # in 1976 #>          slope intercept        r2 #> 1967 -1.830658  25.43745 0.9746487  # Slope based on biomass, using all species and sizes between 10g and 1000g slope_biomass <- getCommunitySlope(NS_sim, min_w = 10, max_w = 1000) slope_biomass[1, ] # in 1976 #>          slope intercept        r2 #> 1967 -1.526323  30.00691 0.9337066  # Slope based on biomass, using only demersal species and # sizes between 10g and 1000g dem_species <- c(\"Dab\",\"Whiting\", \"Sole\", \"Gurnard\", \"Plaice\",                  \"Haddock\", \"Cod\", \"Saithe\") slope_biomass <- getCommunitySlope(NS_sim, species = dem_species,                                    min_w = 10, max_w = 1000) slope_biomass[1, ] # in 1976 #>           slope intercept        r2 #> 1967 -0.9704957  26.69254 0.8095734  getCommunitySlope(NS_params) #>       slope intercept        r2 #> 1 -0.782225  25.40779 0.8722251"},{"path":"https://sizespectrum.org/mizer/reference/getCriticalFeedingLevel.html","id":null,"dir":"Reference","previous_headings":"","what":"Get critical feeding level — getCriticalFeedingLevel","title":"Get critical feeding level — getCriticalFeedingLevel","text":"critical feeding level feeding level food intake just high enough cover metabolic costs, nothing left growth reproduction.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getCriticalFeedingLevel.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get critical feeding level — getCriticalFeedingLevel","text":"","code":"getCriticalFeedingLevel(params)"},{"path":"https://sizespectrum.org/mizer/reference/getCriticalFeedingLevel.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get critical feeding level — getCriticalFeedingLevel","text":"params MizerParams object","code":""},{"path":"https://sizespectrum.org/mizer/reference/getCriticalFeedingLevel.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get critical feeding level — getCriticalFeedingLevel","text":"ArraySpeciesBySize object (species x size) critical feeding level","code":""},{"path":"https://sizespectrum.org/mizer/reference/getCriticalFeedingLevel.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get critical feeding level — getCriticalFeedingLevel","text":"","code":"# \\donttest{ str(getFeedingLevel(NS_params)) #>  'ArraySpeciesBySize' num [1:12, 1:100] 0.622 0.622 0.605 0.621 0.616 ... #>  - attr(*, \"dimnames\")=List of 2 #>   ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   ..$ w : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... #>  - attr(*, \"value_name\")= chr \"Feeding level\" #>  - attr(*, \"params\")=Formal class 'MizerParams' [package \"mizer\"] with 46 slots #>   .. ..@ metadata               : list() #>   .. ..@ mizer_version          :Classes 'package_version', 'numeric_version'  hidden list of 1 #>   .. .. ..$ : int [1:4] 2 5 4 9123 #>   .. ..@ extensions             : chr(0)  #>   .. ..@ time_created           : POSIXct[1:1], format: \"2021-09-03 20:29:38\" #>   .. ..@ time_modified          : POSIXct[1:1], format: \"2026-04-12 11:31:45\" #>   .. ..@ w                      : num [1:100] 0.001 0.00119 0.00142 0.0017 0.00203 ... #>   .. ..@ dw                     : num [1:100] 0.000193 0.000231 0.000275 0.000329 0.000392 ... #>   .. ..@ w_full                 : num [1:226] 2.12e-13 2.53e-13 3.02e-13 3.61e-13 4.30e-13 ... #>   .. ..@ dw_full                : num [1:226] 4.10e-14 4.90e-14 5.84e-14 6.97e-14 8.32e-14 ... #>   .. ..@ w_min_idx              : Named num [1:12] 1 1 1 1 1 1 1 1 1 1 ... #>   .. .. ..- attr(*, \"names\")= chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. ..@ maturity               : num [1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ w : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... #>   .. ..@ psi                    : num [1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ w : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... #>   .. ..@ initial_n              : num [1:12, 1:100] 1.84e+13 6.86e+12 1.44e+14 1.45e+13 1.71e+11 ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ w : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... #>   .. ..@ intake_max             : num [1:12, 1:100] 0.182 0.275 0.328 0.35 0.307 ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ w : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... #>   .. ..@ search_vol             : num [1:12, 1:100] 1.27e-13 6.00e-14 3.44e-13 4.49e-14 1.86e-13 ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ w : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... #>   .. ..@ metab                  : num [1:12, 1:100] 0.0289 0.0437 0.0522 0.0557 0.0487 ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ w : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... #>   .. ..@ pred_kernel            : logi [1(1d)] NA #>   .. ..@ ft_pred_kernel_e       : cplx [1:12, 1:226] 11.3+0i 26.9+0i 20.8+0i ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ k : chr [1:226] \"1\" \"2\" \"3\" \"4\" ... #>   .. ..@ ft_pred_kernel_p       : cplx [1:12, 1:226] 11.3+0i 26.9+0i 20.8+0i ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ k : chr [1:226] \"1\" \"2\" \"3\" \"4\" ... #>   .. ..@ mu_b                   : num [1:12, 1:100] 0.1871 0.1817 0.1293 0.0865 0.0874 ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ w : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... #>   .. ..@ ext_encounter          : num [1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ w : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... #>   .. ..@ ext_diffusion          : num [1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ w : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... #>   .. ..@ rr_pp                  : Named num [1:226] 167660 158066 149021 140494 132455 ... #>   .. .. ..- attr(*, \"names\")= chr [1:226] \"2.12e-13\" \"2.53e-13\" \"3.02e-13\" \"3.61e-13\" ... #>   .. ..@ cc_pp                  : Named num [1:226] 1.09e+38 7.46e+37 5.11e+37 3.51e+37 2.41e+37 ... #>   .. .. ..- attr(*, \"names\")= chr [1:226] \"2.12e-13\" \"2.53e-13\" \"3.02e-13\" \"3.61e-13\" ... #>   .. ..@ resource_dynamics      : chr \"resource_semichemostat\" #>   .. ..@ resource_params        :List of 5 #>   .. .. ..$ kappa      : num 1e+11 #>   .. .. ..$ lambda     : num 2.13 #>   .. .. ..$ r_pp       : num 10 #>   .. .. ..$ n          : num 0.667 #>   .. .. ..$ w_pp_cutoff: num 9.82 #>   .. ..@ other_dynamics         : list() #>   .. ..@ other_params           : list() #>   .. ..@ other_encounter        : list() #>   .. ..@ other_mort             : list() #>   .. ..@ rates_funcs            :List of 14 #>   .. .. ..$ Rates          : chr \"mizerRates\" #>   .. .. ..$ Encounter      : chr \"mizerEncounter\" #>   .. .. ..$ FeedingLevel   : chr \"mizerFeedingLevel\" #>   .. .. ..$ EReproAndGrowth: chr \"mizerEReproAndGrowth\" #>   .. .. ..$ PredRate       : chr \"mizerPredRate\" #>   .. .. ..$ PredMort       : chr \"mizerPredMort\" #>   .. .. ..$ FMort          : chr \"mizerFMort\" #>   .. .. ..$ Mort           : chr \"mizerMort\" #>   .. .. ..$ ERepro         : chr \"mizerERepro\" #>   .. .. ..$ EGrowth        : chr \"mizerEGrowth\" #>   .. .. ..$ ResourceMort   : chr \"mizerResourceMort\" #>   .. .. ..$ RDI            : chr \"mizerRDI\" #>   .. .. ..$ RDD            : chr \"BevertonHoltRDD\" #>   .. .. ..$ Diffusion      : chr \"mizerDiffusion\" #>   .. ..@ sc                     : num [1:100] 0.001 0.00119 0.00142 0.0017 0.00203 ... #>   .. ..@ initial_n_pp           : Named num [1:226] 1.09e+38 7.46e+37 5.11e+37 3.51e+37 2.41e+37 ... #>   .. .. ..- attr(*, \"names\")= chr [1:226] \"2.12e-13\" \"2.53e-13\" \"3.02e-13\" \"3.61e-13\" ... #>   .. ..@ initial_n_other        : list() #>   .. ..@ species_params         :'data.frame':\t12 obs. of  34 variables: #>   .. .. ..$ species             : chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. ..$ w_max               : num [1:12] 33 36 100 334 324 ... #>   .. .. ..$ w_mat               : int [1:12] 13 4 23 99 21 75 78 39 105 165 ... #>   .. .. ..$ beta                : int [1:12] 51076 398849 22 280540 191 22 381 283 113 558 ... #>   .. .. ..$ sigma               : num [1:12] 0.8 1.9 1.5 3.2 1.9 1.5 1.9 1.8 1.6 2.1 ... #>   .. .. ..$ k_vb                : num [1:12] 0.681 1 0.849 0.606 0.536 0.323 0.284 0.266 0.122 0.271 ... #>   .. .. ..$ gear                : chr [1:12] \"Industrial\" \"Industrial\" \"Industrial\" \"Pelagic\" ... #>   .. .. ..$ w_min               : num [1:12] 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 ... #>   .. .. ..$ alpha               : num [1:12] 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 ... #>   .. .. ..$ pred_kernel_type    : chr [1:12] \"lognormal\" \"lognormal\" \"lognormal\" \"lognormal\" ... #>   .. .. ..$ h                   : num [1:12] 18.2 27.5 32.8 35 30.7 ... #>   .. .. ..$ k                   : num [1:12] 0 0 0 0 0 0 0 0 0 0 ... #>   .. .. ..$ ks                  : num [1:12] 3.64 5.5 6.57 7.01 6.14 ... #>   .. .. ..$ z0                  : num [1:12] 0.1871 0.1817 0.1293 0.0865 0.0874 ... #>   .. .. ..$ gamma               : num [1:12] 3.20e-11 1.51e-11 8.63e-11 1.13e-11 4.67e-11 ... #>   .. .. ..$ m                   : num [1:12] 1 1 1 1 1 1 1 1 1 1 ... #>   .. .. ..$ erepro              : num [1:12] 1 1 1 1 1 1 1 1 1 1 ... #>   .. .. ..$ R_max               : num [1:12] 7.38e+11 4.10e+11 1.05e+13 1.11e+12 1.12e+10 ... #>   .. .. ..$ sel_func            : chr [1:12] \"knife_edge\" \"knife_edge\" \"knife_edge\" \"knife_edge\" ... #>   .. .. ..$ knife_edge_size     : int [1:12] 13 4 23 99 21 75 78 39 105 165 ... #>   .. .. ..$ catchability        : num [1:12] 1 1 1 1 1 1 1 1 1 1 ... #>   .. .. ..$ p                   : num [1:12] 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 ... #>   .. .. ..$ q                   : num [1:12] 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 ... #>   .. .. ..$ n                   : num [1:12] 0.667 0.667 0.667 0.667 0.667 ... #>   .. .. ..$ f0                  : num [1:12] 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 ... #>   .. .. ..$ interaction_resource: num [1:12] 1 1 1 1 1 1 1 1 1 1 ... #>   .. .. ..$ w_inf               : num [1:12] 33 36 100 334 324 ... #>   .. .. ..$ w_mat25             : num [1:12] 11.65 3.58 20.61 88.7 18.82 ... #>   .. .. ..$ w_repro_max         : num [1:12] 33 36 100 334 324 ... #>   .. .. ..$ is_background       : logi [1:12] FALSE FALSE FALSE FALSE FALSE FALSE ... #>   .. .. ..$ z_ext               : num [1:12] 0 0 0 0 0 0 0 0 0 0 ... #>   .. .. ..$ d                   : num [1:12] -0.333 -0.333 -0.333 -0.333 -0.333 ... #>   .. .. ..$ E_ext               : num [1:12] 0 0 0 0 0 0 0 0 0 0 ... #>   .. .. ..$ D_ext               : num [1:12] 0 0 0 0 0 0 0 0 0 0 ... #>   .. ..@ given_species_params   :'data.frame':\t12 obs. of  27 variables: #>   .. .. ..$ species             : chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. ..$ w_max               : num [1:12] 33 36 100 334 324 ... #>   .. .. ..$ w_mat               : int [1:12] 13 4 23 99 21 75 78 39 105 165 ... #>   .. .. ..$ beta                : int [1:12] 51076 398849 22 280540 191 22 381 283 113 558 ... #>   .. .. ..$ sigma               : num [1:12] 0.8 1.9 1.5 3.2 1.9 1.5 1.9 1.8 1.6 2.1 ... #>   .. .. ..$ k_vb                : num [1:12] 0.681 1 0.849 0.606 0.536 0.323 0.284 0.266 0.122 0.271 ... #>   .. .. ..$ gear                : chr [1:12] \"Industrial\" \"Industrial\" \"Industrial\" \"Pelagic\" ... #>   .. .. ..$ w_min               : num [1:12] 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 ... #>   .. .. ..$ alpha               : num [1:12] 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 ... #>   .. .. ..$ pred_kernel_type    : chr [1:12] \"lognormal\" \"lognormal\" \"lognormal\" \"lognormal\" ... #>   .. .. ..$ h                   : num [1:12] 18.2 27.5 32.8 35 30.7 ... #>   .. .. ..$ k                   : num [1:12] 0 0 0 0 0 0 0 0 0 0 ... #>   .. .. ..$ ks                  : num [1:12] 3.64 5.5 6.57 7.01 6.14 ... #>   .. .. ..$ z0                  : num [1:12] 0.1871 0.1817 0.1293 0.0865 0.0874 ... #>   .. .. ..$ gamma               : num [1:12] 3.20e-11 1.51e-11 8.63e-11 1.13e-11 4.67e-11 ... #>   .. .. ..$ m                   : num [1:12] 1 1 1 1 1 1 1 1 1 1 ... #>   .. .. ..$ erepro              : num [1:12] 1 1 1 1 1 1 1 1 1 1 ... #>   .. .. ..$ R_max               : num [1:12] 7.38e+11 4.10e+11 1.05e+13 1.11e+12 1.12e+10 ... #>   .. .. ..$ sel_func            : chr [1:12] \"knife_edge\" \"knife_edge\" \"knife_edge\" \"knife_edge\" ... #>   .. .. ..$ knife_edge_size     : int [1:12] 13 4 23 99 21 75 78 39 105 165 ... #>   .. .. ..$ catchability        : num [1:12] 1 1 1 1 1 1 1 1 1 1 ... #>   .. .. ..$ p                   : num [1:12] 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 ... #>   .. .. ..$ q                   : num [1:12] 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 ... #>   .. .. ..$ n                   : num [1:12] 0.667 0.667 0.667 0.667 0.667 ... #>   .. .. ..$ f0                  : num [1:12] 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 ... #>   .. .. ..$ interaction_resource: num [1:12] 1 1 1 1 1 1 1 1 1 1 ... #>   .. .. ..$ w_inf               : num [1:12] 33 36 100 334 324 ... #>   .. ..@ interaction            : num [1:12, 1:12] 0.7291 0.0341 0.0635 0.2742 0.3624 ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ predator: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ prey    : chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. ..@ gear_params            :'data.frame':\t12 obs. of  5 variables: #>   .. .. ..$ gear           : chr [1:12] \"Industrial\" \"Industrial\" \"Industrial\" \"Pelagic\" ... #>   .. .. ..$ species        : chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. ..$ sel_func       : chr [1:12] \"knife_edge\" \"knife_edge\" \"knife_edge\" \"knife_edge\" ... #>   .. .. ..$ knife_edge_size: int [1:12] 13 4 23 99 21 75 78 39 105 165 ... #>   .. .. ..$ catchability   : num [1:12] 1 1 1 1 1 1 1 1 1 1 ... #>   .. ..@ selectivity            : num [1:4, 1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ... #>   .. .. ..- attr(*, \"dimnames\")=List of 3 #>   .. .. .. ..$ gear: chr [1:4] \"Industrial\" \"Pelagic\" \"Beam\" \"Otter\" #>   .. .. .. ..$ sp  : chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ w   : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... #>   .. ..@ catchability           : num [1:4, 1:12] 1 0 0 0 1 0 0 0 1 0 ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ gear: chr [1:4] \"Industrial\" \"Pelagic\" \"Beam\" \"Otter\" #>   .. .. .. ..$ sp  : chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. ..@ initial_effort         : Named num [1:4] 0 1 0.5 0.5 #>   .. .. ..- attr(*, \"names\")= chr [1:4] \"Industrial\" \"Pelagic\" \"Beam\" \"Otter\" #>   .. ..@ A                      : num [1:12] 1 1 1 1 1 1 1 1 1 1 ... #>   .. ..@ linecolour             : Named chr [1:17] \"#815f00\" \"#6237e2\" \"#8da600\" \"#de53ff\" ... #>   .. .. ..- attr(*, \"names\")= chr [1:17] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. ..@ linetype               : Named chr [1:16] \"solid\" \"solid\" \"solid\" \"solid\" ... #>   .. .. ..- attr(*, \"names\")= chr [1:16] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. ..@ ft_mask                : logi [1:12, 1:226] TRUE TRUE TRUE TRUE TRUE TRUE ... #>   .. ..@ use_predation_diffusion: logi FALSE # }"},{"path":"https://sizespectrum.org/mizer/reference/getDiet.html","id":null,"dir":"Reference","previous_headings":"","what":"Get diet of predator at size, resolved by prey species — getDiet","title":"Get diet of predator at size, resolved by prey species — getDiet","text":"Calculates rate predator particular species size consumes biomass prey species, resource, components ecosystem. Returns either rates grams/year proportion total consumption rate.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getDiet.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get diet of predator at size, resolved by prey species — getDiet","text":"","code":"getDiet(   params,   n = initialN(params),   n_pp = initialNResource(params),   n_other = initialNOther(params),   proportion = TRUE )"},{"path":"https://sizespectrum.org/mizer/reference/getDiet.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get diet of predator at size, resolved by prey species — getDiet","text":"params MizerParams object n matrix species abundances (species x size). n_pp vector resource abundance size n_other list abundances dynamical components ecosystem proportion TRUE (default) function returns diet proportion total consumption rate. FALSE returns consumption rate grams per year.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getDiet.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get diet of predator at size, resolved by prey species — getDiet","text":"array (predator species  x predator size x (prey species + resource + components). Dimnames \"prey\", \"w\", \"predator\".","code":""},{"path":"https://sizespectrum.org/mizer/reference/getDiet.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Get diet of predator at size, resolved by prey species — getDiet","text":"rates \\(D_{ij}(w)\\) predator species \\(\\) size \\(w\\) consumes biomass prey species \\(j\\) calculated predation kernel \\(\\phi_i(w, w_p)\\), search volume \\(\\gamma_i(w)\\), feeding level \\(f_i(w)\\), species interaction matrix \\(\\theta_{ij}\\) prey abundance density \\(N_j(w_p)\\): $$ D_{ij}(w, w_p) = (1-f_i(w)) \\gamma_i(w) \\theta_{ij} \\int N_j(w_p) \\phi_i(w, w_p) w_p dw_p. $$ prey index \\(j\\) runs species resource. Extra columns added external encounter rate extra ecosystem components model defined encounter rate function. encounter rates multiplied \\(1-f_i(w)\\) give rate consumption biomass extra components. function performs integration getEncounter() aggregate prey species, multiplies \\(1-f_i(w)\\) get consumed biomass rather available biomass. Outside range sizes predator species returned rate zero.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/getDiet.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get diet of predator at size, resolved by prey species — getDiet","text":"","code":"diet <- getDiet(NS_params) str(diet) #>  num [1:12, 1:100, 1:14] 8.94e-18 6.86e-19 3.46e-18 1.75e-09 1.12e-17 ... #>  - attr(*, \"dimnames\")=List of 3 #>   ..$ predator: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   ..$ w       : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... #>   ..$ prey    : chr [1:14] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ..."},{"path":"https://sizespectrum.org/mizer/reference/getDiffusion.html","id":null,"dir":"Reference","previous_headings":"","what":"Get diffusion rate from predation — getDiffusion","title":"Get diffusion rate from predation — getDiffusion","text":"Calculates diffusion rate \\(D_i(w)\\) (grams^2/year) species. rate abundance density diffused along size axis due variability prey sizes. diffusion term jump-growth equation.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getDiffusion.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get diffusion rate from predation — getDiffusion","text":"","code":"getDiffusion(   params,   n = initialN(params),   n_pp = initialNResource(params),   n_other = initialNOther(params),   t = 0,   ... )"},{"path":"https://sizespectrum.org/mizer/reference/getDiffusion.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get diffusion rate from predation — getDiffusion","text":"params MizerParams object n matrix species abundances (species x size). Defaults initial abundances params. n_pp vector resource abundance size. Defaults initial resource abundances params. n_other list abundances dynamical components. t time calculation. ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/getDiffusion.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get diffusion rate from predation — getDiffusion","text":"array dimensions species x size holding diffusion rates.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getDiffusion.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Get diffusion rate from predation — getDiffusion","text":"Datta, S., Delius, G. W. Law, R. (2010). jump-growth model predator-prey dynamics: derivation application marine ecosystems. Bulletin Mathematical Biology, 72(6):1361–1382","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/getEGrowth.html","id":null,"dir":"Reference","previous_headings":"","what":"Get energy rate available for growth — getEGrowth","title":"Get energy rate available for growth — getEGrowth","text":"Calculates energy rate \\(g_i(w)\\) (grams/year) available species size growth metabolism, movement reproduction accounted .","code":""},{"path":"https://sizespectrum.org/mizer/reference/getEGrowth.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get energy rate available for growth — getEGrowth","text":"","code":"getEGrowth(   params,   n = initialN(params),   n_pp = initialNResource(params),   n_other = initialNOther(params),   t = 0,   ... )"},{"path":"https://sizespectrum.org/mizer/reference/getEGrowth.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get energy rate available for growth — getEGrowth","text":"params MizerParams object n matrix species abundances (species x size). n_pp vector resource abundance size n_other list abundances dynamical components ecosystem t time calculation (used standard mizer rate functions useful extensions time-dependent parameters.) ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/getEGrowth.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get energy rate available for growth — getEGrowth","text":"ArraySpeciesBySize object (species x size) somatic growth rates (grams/year).","code":""},{"path":"https://sizespectrum.org/mizer/reference/getEGrowth.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Get energy rate available for growth — getEGrowth","text":"growth rate calculated difference energy available reproduction growth (obtainable getEReproAndGrowth()) energy used reproduction (obtainable getERepro()), set 0 result negative.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getEGrowth.html","id":"your-own-growth-rate-function","dir":"Reference","previous_headings":"","what":"Your own growth rate function","title":"Get energy rate available for growth — getEGrowth","text":"default getEGrowth() calls mizerEGrowth(). However can replace alternative growth rate function. function called \"myEGrowth\" register MizerParams object params   function called instead mizerEGrowth(), arguments.","code":"params <- setRateFunction(params, \"EGrowth\", \"myEGrowth\")"},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/getEGrowth.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get energy rate available for growth — getEGrowth","text":"","code":"# \\donttest{ params <- NS_params # Project with constant fishing effort for all gears for 20 time steps sim <- project(params, t_max = 20, effort = 0.5) # Get the energy at a particular time step growth <- getEGrowth(params, n = N(sim)[15, , ], n_pp = NResource(sim)[15, ], t = 15) # Growth rate at this time for Sprat of size 2g growth[\"Sprat\", \"2\"] #> [1] 4.706336 # }"},{"path":"https://sizespectrum.org/mizer/reference/getERepro.html","id":null,"dir":"Reference","previous_headings":"","what":"Get energy rate available for reproduction — getERepro","title":"Get energy rate available for reproduction — getERepro","text":"Calculates energy rate (grams/year) available reproduction growth metabolism accounted .","code":""},{"path":"https://sizespectrum.org/mizer/reference/getERepro.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get energy rate available for reproduction — getERepro","text":"","code":"getERepro(   params,   n = initialN(params),   n_pp = initialNResource(params),   n_other = initialNOther(params),   t = 0,   ... )"},{"path":"https://sizespectrum.org/mizer/reference/getERepro.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get energy rate available for reproduction — getERepro","text":"params MizerParams object n matrix species abundances (species x size). n_pp vector resource abundance size n_other list abundances dynamical components ecosystem t time calculation (used standard mizer rate functions useful extensions time-dependent parameters.) ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/getERepro.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get energy rate available for reproduction — getERepro","text":"ArraySpeciesBySize object (species x size) holding $$\\psi_i(w)\\max(0, E_{r.}(w))$$ \\(E_{r.}(w)\\) rate energy becomes available growth reproduction, calculated getEReproAndGrowth(), \\(\\psi_i(w)\\) proportion energy used reproduction. Negative values \\(E_{r.}(w)\\) clipped 0 multiplying \\(\\psi_i(w)\\). proportion taken params object set setReproduction().","code":""},{"path":"https://sizespectrum.org/mizer/reference/getERepro.html","id":"your-own-reproduction-rate-function","dir":"Reference","previous_headings":"","what":"Your own reproduction rate function","title":"Get energy rate available for reproduction — getERepro","text":"default getERepro() calls mizerERepro(). However can replace alternative reproduction rate function. function called \"myERepro\" register MizerParams object params   function called instead mizerERepro(), arguments.","code":"params <- setRateFunction(params, \"ERepro\", \"myERepro\")"},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/getERepro.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get energy rate available for reproduction — getERepro","text":"","code":"# \\donttest{ params <- NS_params # Project with constant fishing effort for all gears for 20 time steps sim <- project(params, t_max = 20, effort = 0.5) # Get the rate at a particular time step erepro <- getERepro(params, n = N(sim)[15, , ], n_pp = NResource(sim)[15, ], t = 15) # Rate at this time for Sprat of size 2g erepro[\"Sprat\", \"2\"] #> [1] 0 # }"},{"path":"https://sizespectrum.org/mizer/reference/getEReproAndGrowth.html","id":null,"dir":"Reference","previous_headings":"","what":"Get energy rate available for reproduction and growth — getEReproAndGrowth","title":"Get energy rate available for reproduction and growth — getEReproAndGrowth","text":"Calculates energy rate \\(E_{r.}(w)\\) (grams/year) available reproduction growth metabolism movement accounted .","code":""},{"path":"https://sizespectrum.org/mizer/reference/getEReproAndGrowth.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get energy rate available for reproduction and growth — getEReproAndGrowth","text":"","code":"getEReproAndGrowth(   params,   n = initialN(params),   n_pp = initialNResource(params),   n_other = initialNOther(params),   t = 0,   ... )"},{"path":"https://sizespectrum.org/mizer/reference/getEReproAndGrowth.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get energy rate available for reproduction and growth — getEReproAndGrowth","text":"params MizerParams object n matrix species abundances (species x size). n_pp vector resource abundance size n_other list abundances dynamical components ecosystem t time calculation (used standard mizer rate functions useful extensions time-dependent parameters.) ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/getEReproAndGrowth.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get energy rate available for reproduction and growth — getEReproAndGrowth","text":"ArraySpeciesBySize object (species x size) energy rate \\(E_{r.}(w)\\) available growth reproduction (grams/year).","code":""},{"path":"https://sizespectrum.org/mizer/reference/getEReproAndGrowth.html","id":"your-own-energy-rate-function","dir":"Reference","previous_headings":"","what":"Your own energy rate function","title":"Get energy rate available for reproduction and growth — getEReproAndGrowth","text":"default getEReproAndGrowth() calls mizerEReproAndGrowth(). However can replace alternative energy rate function. function called \"myEReproAndGrowth\" register MizerParams object params   function called instead mizerEReproAndGrowth(), arguments.","code":"params <- setRateFunction(params, \"EReproAndGrowth\", \"myEReproAndGrowth\")"},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/getEReproAndGrowth.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get energy rate available for reproduction and growth — getEReproAndGrowth","text":"","code":"# \\donttest{ params <- NS_params # Project with constant fishing effort for all gears for 20 time steps sim <- project(params, t_max = 20, effort = 0.5) # Get the energy at a particular time step e <- getEReproAndGrowth(params, n = N(sim)[15, , ],                          n_pp = NResource(sim)[15, ], t = 15) # Rate at this time for Sprat of size 2g e[\"Sprat\", \"2\"] #> [1] 4.706336 # }"},{"path":"https://sizespectrum.org/mizer/reference/getESpawning.html","id":null,"dir":"Reference","previous_headings":"","what":"Alias for getERepro() — getESpawning","title":"Alias for getERepro() — getESpawning","text":"alias provided backward compatibility mizer version <= 1.0","code":""},{"path":"https://sizespectrum.org/mizer/reference/getESpawning.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Alias for getERepro() — getESpawning","text":"","code":"getESpawning(   params,   n = initialN(params),   n_pp = initialNResource(params),   n_other = initialNOther(params),   t = 0,   ... )"},{"path":"https://sizespectrum.org/mizer/reference/getESpawning.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Alias for getERepro() — getESpawning","text":"params MizerParams object n matrix species abundances (species x size). n_pp vector resource abundance size n_other list abundances dynamical components ecosystem t time calculation (used standard mizer rate functions useful extensions time-dependent parameters.) ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/getESpawning.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Alias for getERepro() — getESpawning","text":"ArraySpeciesBySize object (species x size) holding $$\\psi_i(w)\\max(0, E_{r.}(w))$$ \\(E_{r.}(w)\\) rate energy becomes available growth reproduction, calculated getEReproAndGrowth(), \\(\\psi_i(w)\\) proportion energy used reproduction. Negative values \\(E_{r.}(w)\\) clipped 0 multiplying \\(\\psi_i(w)\\). proportion taken params object set setReproduction().","code":""},{"path":"https://sizespectrum.org/mizer/reference/getESpawning.html","id":"your-own-reproduction-rate-function","dir":"Reference","previous_headings":"","what":"Your own reproduction rate function","title":"Alias for getERepro() — getESpawning","text":"default getERepro() calls mizerERepro(). However can replace alternative reproduction rate function. function called \"myERepro\" register MizerParams object params   function called instead mizerERepro(), arguments.","code":"params <- setRateFunction(params, \"ERepro\", \"myERepro\")"},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/getESpawning.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Alias for getERepro() — getESpawning","text":"","code":"# \\donttest{ params <- NS_params # Project with constant fishing effort for all gears for 20 time steps sim <- project(params, t_max = 20, effort = 0.5) # Get the rate at a particular time step erepro <- getERepro(params, n = N(sim)[15, , ], n_pp = NResource(sim)[15, ], t = 15) # Rate at this time for Sprat of size 2g erepro[\"Sprat\", \"2\"] #> [1] 0 # }"},{"path":"https://sizespectrum.org/mizer/reference/getEffort.html","id":null,"dir":"Reference","previous_headings":"","what":"Fishing effort used in simulation — getEffort","title":"Fishing effort used in simulation — getEffort","text":"Note array returned may exactly effort argument passed project(). saved effort stored (frequency saving determined argument t_save).","code":""},{"path":"https://sizespectrum.org/mizer/reference/getEffort.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Fishing effort used in simulation — getEffort","text":"","code":"getEffort(sim)"},{"path":"https://sizespectrum.org/mizer/reference/getEffort.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Fishing effort used in simulation — getEffort","text":"sim MizerSim object","code":""},{"path":"https://sizespectrum.org/mizer/reference/getEffort.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Fishing effort used in simulation — getEffort","text":"array (time x gear) contains fishing effort time gear.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getEffort.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Fishing effort used in simulation — getEffort","text":"","code":"str(getEffort(NS_sim)) #>  num [1:44, 1:12] 0 0 0 0 0 0 0 0 0 0 ... #>  - attr(*, \"dimnames\")=List of 2 #>   ..$ time: chr [1:44] \"1967\" \"1968\" \"1969\" \"1970\" ... #>   ..$ gear: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ..."},{"path":"https://sizespectrum.org/mizer/reference/getEncounter.html","id":null,"dir":"Reference","previous_headings":"","what":"Get encounter rate — getEncounter","title":"Get encounter rate — getEncounter","text":"Returns rate predator species \\(\\) weight \\(w\\) encounters food (grams/year).","code":""},{"path":"https://sizespectrum.org/mizer/reference/getEncounter.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get encounter rate — getEncounter","text":"","code":"getEncounter(   params,   n = initialN(params),   n_pp = initialNResource(params),   n_other = initialNOther(params),   t = 0,   ... )"},{"path":"https://sizespectrum.org/mizer/reference/getEncounter.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get encounter rate — getEncounter","text":"params MizerParams object n matrix species abundances (species x size). n_pp vector resource abundance size n_other list abundances dynamical components ecosystem t time calculation (used standard mizer rate functions useful extensions time-dependent parameters.) ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/getEncounter.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get encounter rate — getEncounter","text":"ArraySpeciesBySize object (predator species x predator size) encounter rates.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getEncounter.html","id":"predation-encounter","dir":"Reference","previous_headings":"","what":"Predation encounter","title":"Get encounter rate — getEncounter","text":"encounter rate \\(E_i(w)\\) predator species \\(\\) weight \\(w\\) encounters food contributions encounter fish prey resource. determined summing prey species resource spectrum integrating prey sizes \\(w_p\\), weighted predation kernel \\(\\phi(w,w_p)\\): $$ E_i(w) = \\gamma_i(w) \\int \\left( \\theta_{ip} N_R(w_p) + \\sum_{j} \\theta_{ij} N_j(w_p) \\right) \\phi_i(w,w_p) w_p \\, dw_p. $$ \\(N_j(w)\\) abundance density species \\(j\\) \\(N_R(w)\\) abundance density resource. overall prefactor \\(\\gamma_i(w)\\) determines predation power predator. interpreted search volume set setSearchVolume() function. predation kernel \\(\\phi(w,w_p)\\) set setPredKernel() function. species interaction matrix \\(\\theta_{ij}\\) set setInteraction() resource interaction vector \\(\\theta_{ip}\\) taken interaction_resource column params@species_params.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getEncounter.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Get encounter rate — getEncounter","text":"encounter rate multiplied \\(1-f_0\\) obtain consumption rate, \\(f_0\\) feeding level calculated getFeedingLevel(). used project() function performing simulations. function returns values also sizes outside size-range species. values used, meaningless. model contains additional components added setComponent() specified encounter_fun function encounters components included returned value.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getEncounter.html","id":"extension-hook","dir":"Reference","previous_headings":"","what":"Extension hook","title":"Get encounter rate — getEncounter","text":"projectEncounter() S3 generic used extension-aware projections. Extension packages can add methods marker classes call NextMethod() compose encounter-rate changes. MizerParams method contains standard mizer calculation also exported mizerEncounter() compatibility.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getEncounter.html","id":"your-own-encounter-function","dir":"Reference","previous_headings":"","what":"Your own encounter function","title":"Get encounter rate — getEncounter","text":"default getEncounter() calls mizerEncounter() models without extensions. However can replace alternative encounter function. function called \"myEncounter\" register MizerParams object params   function called instead mizerEncounter(), arguments.","code":"params <- setRateFunction(params, \"Encounter\", \"myEncounter\")"},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/getEncounter.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get encounter rate — getEncounter","text":"","code":"encounter <- getEncounter(NS_params) str(encounter) #>  'ArraySpeciesBySize' num [1:12, 1:100] 0.299 0.453 0.502 0.575 0.492 ... #>  - attr(*, \"dimnames\")=List of 2 #>   ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   ..$ w : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... #>  - attr(*, \"value_name\")= chr \"Encounter rate\" #>  - attr(*, \"units\")= chr \"g/year\" #>  - attr(*, \"params\")=Formal class 'MizerParams' [package \"mizer\"] with 46 slots #>   .. ..@ metadata               : list() #>   .. ..@ mizer_version          :Classes 'package_version', 'numeric_version'  hidden list of 1 #>   .. .. ..$ : int [1:4] 2 5 4 9123 #>   .. ..@ extensions             : chr(0)  #>   .. ..@ time_created           : POSIXct[1:1], format: \"2021-09-03 20:29:38\" #>   .. ..@ time_modified          : POSIXct[1:1], format: \"2026-04-12 11:31:45\" #>   .. ..@ w                      : num [1:100] 0.001 0.00119 0.00142 0.0017 0.00203 ... #>   .. ..@ dw                     : num [1:100] 0.000193 0.000231 0.000275 0.000329 0.000392 ... #>   .. ..@ w_full                 : num [1:226] 2.12e-13 2.53e-13 3.02e-13 3.61e-13 4.30e-13 ... #>   .. ..@ dw_full                : num [1:226] 4.10e-14 4.90e-14 5.84e-14 6.97e-14 8.32e-14 ... #>   .. ..@ w_min_idx              : Named num [1:12] 1 1 1 1 1 1 1 1 1 1 ... #>   .. .. ..- attr(*, \"names\")= chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. ..@ maturity               : num [1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ w : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... #>   .. ..@ psi                    : num [1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ w : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... #>   .. ..@ initial_n              : num [1:12, 1:100] 1.84e+13 6.86e+12 1.44e+14 1.45e+13 1.71e+11 ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ w : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... #>   .. ..@ intake_max             : num [1:12, 1:100] 0.182 0.275 0.328 0.35 0.307 ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ w : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... #>   .. ..@ search_vol             : num [1:12, 1:100] 1.27e-13 6.00e-14 3.44e-13 4.49e-14 1.86e-13 ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ w : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... #>   .. ..@ metab                  : num [1:12, 1:100] 0.0289 0.0437 0.0522 0.0557 0.0487 ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ w : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... #>   .. ..@ pred_kernel            : logi [1(1d)] NA #>   .. ..@ ft_pred_kernel_e       : cplx [1:12, 1:226] 11.3+0i 26.9+0i 20.8+0i ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ k : chr [1:226] \"1\" \"2\" \"3\" \"4\" ... #>   .. ..@ ft_pred_kernel_p       : cplx [1:12, 1:226] 11.3+0i 26.9+0i 20.8+0i ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ k : chr [1:226] \"1\" \"2\" \"3\" \"4\" ... #>   .. ..@ mu_b                   : num [1:12, 1:100] 0.1871 0.1817 0.1293 0.0865 0.0874 ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ w : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... #>   .. ..@ ext_encounter          : num [1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ w : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... #>   .. ..@ ext_diffusion          : num [1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ w : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... #>   .. ..@ rr_pp                  : Named num [1:226] 167660 158066 149021 140494 132455 ... #>   .. .. ..- attr(*, \"names\")= chr [1:226] \"2.12e-13\" \"2.53e-13\" \"3.02e-13\" \"3.61e-13\" ... #>   .. ..@ cc_pp                  : Named num [1:226] 1.09e+38 7.46e+37 5.11e+37 3.51e+37 2.41e+37 ... #>   .. .. ..- attr(*, \"names\")= chr [1:226] \"2.12e-13\" \"2.53e-13\" \"3.02e-13\" \"3.61e-13\" ... #>   .. ..@ resource_dynamics      : chr \"resource_semichemostat\" #>   .. ..@ resource_params        :List of 5 #>   .. .. ..$ kappa      : num 1e+11 #>   .. .. ..$ lambda     : num 2.13 #>   .. .. ..$ r_pp       : num 10 #>   .. .. ..$ n          : num 0.667 #>   .. .. ..$ w_pp_cutoff: num 9.82 #>   .. ..@ other_dynamics         : list() #>   .. ..@ other_params           : list() #>   .. ..@ other_encounter        : list() #>   .. ..@ other_mort             : list() #>   .. ..@ rates_funcs            :List of 14 #>   .. .. ..$ Rates          : chr \"mizerRates\" #>   .. .. ..$ Encounter      : chr \"mizerEncounter\" #>   .. .. ..$ FeedingLevel   : chr \"mizerFeedingLevel\" #>   .. .. ..$ EReproAndGrowth: chr \"mizerEReproAndGrowth\" #>   .. .. ..$ PredRate       : chr \"mizerPredRate\" #>   .. .. ..$ PredMort       : chr \"mizerPredMort\" #>   .. .. ..$ FMort          : chr \"mizerFMort\" #>   .. .. ..$ Mort           : chr \"mizerMort\" #>   .. .. ..$ ERepro         : chr \"mizerERepro\" #>   .. .. ..$ EGrowth        : chr \"mizerEGrowth\" #>   .. .. ..$ ResourceMort   : chr \"mizerResourceMort\" #>   .. .. ..$ RDI            : chr \"mizerRDI\" #>   .. .. ..$ RDD            : chr \"BevertonHoltRDD\" #>   .. .. ..$ Diffusion      : chr \"mizerDiffusion\" #>   .. ..@ sc                     : num [1:100] 0.001 0.00119 0.00142 0.0017 0.00203 ... #>   .. ..@ initial_n_pp           : Named num [1:226] 1.09e+38 7.46e+37 5.11e+37 3.51e+37 2.41e+37 ... #>   .. .. ..- attr(*, \"names\")= chr [1:226] \"2.12e-13\" \"2.53e-13\" \"3.02e-13\" \"3.61e-13\" ... #>   .. ..@ initial_n_other        : list() #>   .. ..@ species_params         :'data.frame':\t12 obs. of  34 variables: #>   .. .. ..$ species             : chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. ..$ w_max               : num [1:12] 33 36 100 334 324 ... #>   .. .. ..$ w_mat               : int [1:12] 13 4 23 99 21 75 78 39 105 165 ... #>   .. .. ..$ beta                : int [1:12] 51076 398849 22 280540 191 22 381 283 113 558 ... #>   .. .. ..$ sigma               : num [1:12] 0.8 1.9 1.5 3.2 1.9 1.5 1.9 1.8 1.6 2.1 ... #>   .. .. ..$ k_vb                : num [1:12] 0.681 1 0.849 0.606 0.536 0.323 0.284 0.266 0.122 0.271 ... #>   .. .. ..$ gear                : chr [1:12] \"Industrial\" \"Industrial\" \"Industrial\" \"Pelagic\" ... #>   .. .. ..$ w_min               : num [1:12] 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 ... #>   .. .. ..$ alpha               : num [1:12] 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 ... #>   .. .. ..$ pred_kernel_type    : chr [1:12] \"lognormal\" \"lognormal\" \"lognormal\" \"lognormal\" ... #>   .. .. ..$ h                   : num [1:12] 18.2 27.5 32.8 35 30.7 ... #>   .. .. ..$ k                   : num [1:12] 0 0 0 0 0 0 0 0 0 0 ... #>   .. .. ..$ ks                  : num [1:12] 3.64 5.5 6.57 7.01 6.14 ... #>   .. .. ..$ z0                  : num [1:12] 0.1871 0.1817 0.1293 0.0865 0.0874 ... #>   .. .. ..$ gamma               : num [1:12] 3.20e-11 1.51e-11 8.63e-11 1.13e-11 4.67e-11 ... #>   .. .. ..$ m                   : num [1:12] 1 1 1 1 1 1 1 1 1 1 ... #>   .. .. ..$ erepro              : num [1:12] 1 1 1 1 1 1 1 1 1 1 ... #>   .. .. ..$ R_max               : num [1:12] 7.38e+11 4.10e+11 1.05e+13 1.11e+12 1.12e+10 ... #>   .. .. ..$ sel_func            : chr [1:12] \"knife_edge\" \"knife_edge\" \"knife_edge\" \"knife_edge\" ... #>   .. .. ..$ knife_edge_size     : int [1:12] 13 4 23 99 21 75 78 39 105 165 ... #>   .. .. ..$ catchability        : num [1:12] 1 1 1 1 1 1 1 1 1 1 ... #>   .. .. ..$ p                   : num [1:12] 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 ... #>   .. .. ..$ q                   : num [1:12] 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 ... #>   .. .. ..$ n                   : num [1:12] 0.667 0.667 0.667 0.667 0.667 ... #>   .. .. ..$ f0                  : num [1:12] 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 ... #>   .. .. ..$ interaction_resource: num [1:12] 1 1 1 1 1 1 1 1 1 1 ... #>   .. .. ..$ w_inf               : num [1:12] 33 36 100 334 324 ... #>   .. .. ..$ w_mat25             : num [1:12] 11.65 3.58 20.61 88.7 18.82 ... #>   .. .. ..$ w_repro_max         : num [1:12] 33 36 100 334 324 ... #>   .. .. ..$ is_background       : logi [1:12] FALSE FALSE FALSE FALSE FALSE FALSE ... #>   .. .. ..$ z_ext               : num [1:12] 0 0 0 0 0 0 0 0 0 0 ... #>   .. .. ..$ d                   : num [1:12] -0.333 -0.333 -0.333 -0.333 -0.333 ... #>   .. .. ..$ E_ext               : num [1:12] 0 0 0 0 0 0 0 0 0 0 ... #>   .. .. ..$ D_ext               : num [1:12] 0 0 0 0 0 0 0 0 0 0 ... #>   .. ..@ given_species_params   :'data.frame':\t12 obs. of  27 variables: #>   .. .. ..$ species             : chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. ..$ w_max               : num [1:12] 33 36 100 334 324 ... #>   .. .. ..$ w_mat               : int [1:12] 13 4 23 99 21 75 78 39 105 165 ... #>   .. .. ..$ beta                : int [1:12] 51076 398849 22 280540 191 22 381 283 113 558 ... #>   .. .. ..$ sigma               : num [1:12] 0.8 1.9 1.5 3.2 1.9 1.5 1.9 1.8 1.6 2.1 ... #>   .. .. ..$ k_vb                : num [1:12] 0.681 1 0.849 0.606 0.536 0.323 0.284 0.266 0.122 0.271 ... #>   .. .. ..$ gear                : chr [1:12] \"Industrial\" \"Industrial\" \"Industrial\" \"Pelagic\" ... #>   .. .. ..$ w_min               : num [1:12] 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 ... #>   .. .. ..$ alpha               : num [1:12] 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 ... #>   .. .. ..$ pred_kernel_type    : chr [1:12] \"lognormal\" \"lognormal\" \"lognormal\" \"lognormal\" ... #>   .. .. ..$ h                   : num [1:12] 18.2 27.5 32.8 35 30.7 ... #>   .. .. ..$ k                   : num [1:12] 0 0 0 0 0 0 0 0 0 0 ... #>   .. .. ..$ ks                  : num [1:12] 3.64 5.5 6.57 7.01 6.14 ... #>   .. .. ..$ z0                  : num [1:12] 0.1871 0.1817 0.1293 0.0865 0.0874 ... #>   .. .. ..$ gamma               : num [1:12] 3.20e-11 1.51e-11 8.63e-11 1.13e-11 4.67e-11 ... #>   .. .. ..$ m                   : num [1:12] 1 1 1 1 1 1 1 1 1 1 ... #>   .. .. ..$ erepro              : num [1:12] 1 1 1 1 1 1 1 1 1 1 ... #>   .. .. ..$ R_max               : num [1:12] 7.38e+11 4.10e+11 1.05e+13 1.11e+12 1.12e+10 ... #>   .. .. ..$ sel_func            : chr [1:12] \"knife_edge\" \"knife_edge\" \"knife_edge\" \"knife_edge\" ... #>   .. .. ..$ knife_edge_size     : int [1:12] 13 4 23 99 21 75 78 39 105 165 ... #>   .. .. ..$ catchability        : num [1:12] 1 1 1 1 1 1 1 1 1 1 ... #>   .. .. ..$ p                   : num [1:12] 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 ... #>   .. .. ..$ q                   : num [1:12] 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 ... #>   .. .. ..$ n                   : num [1:12] 0.667 0.667 0.667 0.667 0.667 ... #>   .. .. ..$ f0                  : num [1:12] 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 ... #>   .. .. ..$ interaction_resource: num [1:12] 1 1 1 1 1 1 1 1 1 1 ... #>   .. .. ..$ w_inf               : num [1:12] 33 36 100 334 324 ... #>   .. ..@ interaction            : num [1:12, 1:12] 0.7291 0.0341 0.0635 0.2742 0.3624 ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ predator: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ prey    : chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. ..@ gear_params            :'data.frame':\t12 obs. of  5 variables: #>   .. .. ..$ gear           : chr [1:12] \"Industrial\" \"Industrial\" \"Industrial\" \"Pelagic\" ... #>   .. .. ..$ species        : chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. ..$ sel_func       : chr [1:12] \"knife_edge\" \"knife_edge\" \"knife_edge\" \"knife_edge\" ... #>   .. .. ..$ knife_edge_size: int [1:12] 13 4 23 99 21 75 78 39 105 165 ... #>   .. .. ..$ catchability   : num [1:12] 1 1 1 1 1 1 1 1 1 1 ... #>   .. ..@ selectivity            : num [1:4, 1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ... #>   .. .. ..- attr(*, \"dimnames\")=List of 3 #>   .. .. .. ..$ gear: chr [1:4] \"Industrial\" \"Pelagic\" \"Beam\" \"Otter\" #>   .. .. .. ..$ sp  : chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ w   : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... #>   .. ..@ catchability           : num [1:4, 1:12] 1 0 0 0 1 0 0 0 1 0 ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ gear: chr [1:4] \"Industrial\" \"Pelagic\" \"Beam\" \"Otter\" #>   .. .. .. ..$ sp  : chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. ..@ initial_effort         : Named num [1:4] 0 1 0.5 0.5 #>   .. .. ..- attr(*, \"names\")= chr [1:4] \"Industrial\" \"Pelagic\" \"Beam\" \"Otter\" #>   .. ..@ A                      : num [1:12] 1 1 1 1 1 1 1 1 1 1 ... #>   .. ..@ linecolour             : Named chr [1:17] \"#815f00\" \"#6237e2\" \"#8da600\" \"#de53ff\" ... #>   .. .. ..- attr(*, \"names\")= chr [1:17] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. ..@ linetype               : Named chr [1:16] \"solid\" \"solid\" \"solid\" \"solid\" ... #>   .. .. ..- attr(*, \"names\")= chr [1:16] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. ..@ ft_mask                : logi [1:12, 1:226] TRUE TRUE TRUE TRUE TRUE TRUE ... #>   .. ..@ use_predation_diffusion: logi FALSE"},{"path":"https://sizespectrum.org/mizer/reference/getFMort.html","id":null,"dir":"Reference","previous_headings":"","what":"Get the total fishing mortality rate from all fishing gears by time, species and size. — getFMort","title":"Get the total fishing mortality rate from all fishing gears by time, species and size. — getFMort","text":"Calculates total fishing mortality  (units 1/year) gears species size possibly time. See setFishing() details fishing gears set .","code":""},{"path":"https://sizespectrum.org/mizer/reference/getFMort.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get the total fishing mortality rate from all fishing gears by time, species and size. — getFMort","text":"","code":"getFMort(object, effort, time_range, drop = TRUE)"},{"path":"https://sizespectrum.org/mizer/reference/getFMort.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get the total fishing mortality rate from all fishing gears by time, species and size. — getFMort","text":"object MizerParams object MizerSim object effort effort fishing gear. used object argument class MizerParams. See notes . time_range Subset returned fishing mortalities time. time range either vector values, vector min max time, single value. Default whole time range. used object argument type MizerSim. drop used object type MizerSim. dimensions length 1 dropped, e.g. community one species might make presentation results easier. Default TRUE.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getFMort.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get the total fishing mortality rate from all fishing gears by time, species and size. — getFMort","text":"MizerParams object passed without time-dimensioned effort, returns ArraySpeciesBySize object (species x size) fishing mortality rates. effort argument time dimension, MizerSim object passed , returns three-dimensional array (time x species x size). effort argument used MizerParams object passed . effort argument can two dimensional array (time x gear), vector length equal number gears (gear different effort constant time), single numeric value (gear effort constant time). order gears effort argument must MizerParams object. object argument class MizerSim effort slot MizerSim object used effort argument used.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getFMort.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Get the total fishing mortality rate from all fishing gears by time, species and size. — getFMort","text":"total fishing mortality just sum fishing mortalities imposed gear, \\(F_i(w)=\\sum_g F_{g,,w}\\). fishing mortality gear obtained catchability x selectivity x effort.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getFMort.html","id":"your-own-fishing-mortality-function","dir":"Reference","previous_headings":"","what":"Your own fishing mortality function","title":"Get the total fishing mortality rate from all fishing gears by time, species and size. — getFMort","text":"default getFMort() calls mizerFMort(). However can replace alternative fishing mortality function. function called \"myFMort\" register MizerParams object params   function called instead mizerFMort(), arguments.","code":"params <- setRateFunction(params, \"FMort\", \"myFMort\")"},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/getFMort.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get the total fishing mortality rate from all fishing gears by time, species and size. — getFMort","text":"","code":"# \\donttest{ params <- NS_params # Get the total fishing mortality in the initial state F <- getFMort(params, effort = 1) str(F) #>  'ArraySpeciesBySize' num [1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ... #>  - attr(*, \"dimnames\")=List of 2 #>   ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   ..$ w : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... #>  - attr(*, \"value_name\")= chr \"Fishing mortality\" #>  - attr(*, \"units\")= chr \"1/year\" #>  - attr(*, \"params\")=Formal class 'MizerParams' [package \"mizer\"] with 46 slots #>   .. ..@ metadata               : list() #>   .. ..@ mizer_version          :Classes 'package_version', 'numeric_version'  hidden list of 1 #>   .. .. ..$ : int [1:4] 2 5 4 9123 #>   .. ..@ extensions             : chr(0)  #>   .. ..@ time_created           : POSIXct[1:1], format: \"2021-09-03 20:29:38\" #>   .. ..@ time_modified          : POSIXct[1:1], format: \"2026-04-12 11:31:45\" #>   .. ..@ w                      : num [1:100] 0.001 0.00119 0.00142 0.0017 0.00203 ... #>   .. ..@ dw                     : num [1:100] 0.000193 0.000231 0.000275 0.000329 0.000392 ... #>   .. ..@ w_full                 : num [1:226] 2.12e-13 2.53e-13 3.02e-13 3.61e-13 4.30e-13 ... #>   .. ..@ dw_full                : num [1:226] 4.10e-14 4.90e-14 5.84e-14 6.97e-14 8.32e-14 ... #>   .. ..@ w_min_idx              : Named num [1:12] 1 1 1 1 1 1 1 1 1 1 ... #>   .. .. ..- attr(*, \"names\")= chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. ..@ maturity               : num [1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ w : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... #>   .. ..@ psi                    : num [1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ w : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... #>   .. ..@ initial_n              : num [1:12, 1:100] 1.84e+13 6.86e+12 1.44e+14 1.45e+13 1.71e+11 ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ w : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... #>   .. ..@ intake_max             : num [1:12, 1:100] 0.182 0.275 0.328 0.35 0.307 ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ w : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... #>   .. ..@ search_vol             : num [1:12, 1:100] 1.27e-13 6.00e-14 3.44e-13 4.49e-14 1.86e-13 ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ w : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... #>   .. ..@ metab                  : num [1:12, 1:100] 0.0289 0.0437 0.0522 0.0557 0.0487 ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ w : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... #>   .. ..@ pred_kernel            : logi [1(1d)] NA #>   .. ..@ ft_pred_kernel_e       : cplx [1:12, 1:226] 11.3+0i 26.9+0i 20.8+0i ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ k : chr [1:226] \"1\" \"2\" \"3\" \"4\" ... #>   .. ..@ ft_pred_kernel_p       : cplx [1:12, 1:226] 11.3+0i 26.9+0i 20.8+0i ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ k : chr [1:226] \"1\" \"2\" \"3\" \"4\" ... #>   .. ..@ mu_b                   : num [1:12, 1:100] 0.1871 0.1817 0.1293 0.0865 0.0874 ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ w : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... #>   .. ..@ ext_encounter          : num [1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ w : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... #>   .. ..@ ext_diffusion          : num [1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ w : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... #>   .. ..@ rr_pp                  : Named num [1:226] 167660 158066 149021 140494 132455 ... #>   .. .. ..- attr(*, \"names\")= chr [1:226] \"2.12e-13\" \"2.53e-13\" \"3.02e-13\" \"3.61e-13\" ... #>   .. ..@ cc_pp                  : Named num [1:226] 1.09e+38 7.46e+37 5.11e+37 3.51e+37 2.41e+37 ... #>   .. .. ..- attr(*, \"names\")= chr [1:226] \"2.12e-13\" \"2.53e-13\" \"3.02e-13\" \"3.61e-13\" ... #>   .. ..@ resource_dynamics      : chr \"resource_semichemostat\" #>   .. ..@ resource_params        :List of 5 #>   .. .. ..$ kappa      : num 1e+11 #>   .. .. ..$ lambda     : num 2.13 #>   .. .. ..$ r_pp       : num 10 #>   .. .. ..$ n          : num 0.667 #>   .. .. ..$ w_pp_cutoff: num 9.82 #>   .. ..@ other_dynamics         : list() #>   .. ..@ other_params           : list() #>   .. ..@ other_encounter        : list() #>   .. ..@ other_mort             : list() #>   .. ..@ rates_funcs            :List of 14 #>   .. .. ..$ Rates          : chr \"mizerRates\" #>   .. .. ..$ Encounter      : chr \"mizerEncounter\" #>   .. .. ..$ FeedingLevel   : chr \"mizerFeedingLevel\" #>   .. .. ..$ EReproAndGrowth: chr \"mizerEReproAndGrowth\" #>   .. .. ..$ PredRate       : chr \"mizerPredRate\" #>   .. .. ..$ PredMort       : chr \"mizerPredMort\" #>   .. .. ..$ FMort          : chr \"mizerFMort\" #>   .. .. ..$ Mort           : chr \"mizerMort\" #>   .. .. ..$ ERepro         : chr \"mizerERepro\" #>   .. .. ..$ EGrowth        : chr \"mizerEGrowth\" #>   .. .. ..$ ResourceMort   : chr \"mizerResourceMort\" #>   .. .. ..$ RDI            : chr \"mizerRDI\" #>   .. .. ..$ RDD            : chr \"BevertonHoltRDD\" #>   .. .. ..$ Diffusion      : chr \"mizerDiffusion\" #>   .. ..@ sc                     : num [1:100] 0.001 0.00119 0.00142 0.0017 0.00203 ... #>   .. ..@ initial_n_pp           : Named num [1:226] 1.09e+38 7.46e+37 5.11e+37 3.51e+37 2.41e+37 ... #>   .. .. ..- attr(*, \"names\")= chr [1:226] \"2.12e-13\" \"2.53e-13\" \"3.02e-13\" \"3.61e-13\" ... #>   .. ..@ initial_n_other        : list() #>   .. ..@ species_params         :'data.frame':\t12 obs. of  34 variables: #>   .. .. ..$ species             : chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. ..$ w_max               : num [1:12] 33 36 100 334 324 ... #>   .. .. ..$ w_mat               : int [1:12] 13 4 23 99 21 75 78 39 105 165 ... #>   .. .. ..$ beta                : int [1:12] 51076 398849 22 280540 191 22 381 283 113 558 ... #>   .. .. ..$ sigma               : num [1:12] 0.8 1.9 1.5 3.2 1.9 1.5 1.9 1.8 1.6 2.1 ... #>   .. .. ..$ k_vb                : num [1:12] 0.681 1 0.849 0.606 0.536 0.323 0.284 0.266 0.122 0.271 ... #>   .. .. ..$ gear                : chr [1:12] \"Industrial\" \"Industrial\" \"Industrial\" \"Pelagic\" ... #>   .. .. ..$ w_min               : num [1:12] 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 ... #>   .. .. ..$ alpha               : num [1:12] 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 ... #>   .. .. ..$ pred_kernel_type    : chr [1:12] \"lognormal\" \"lognormal\" \"lognormal\" \"lognormal\" ... #>   .. .. ..$ h                   : num [1:12] 18.2 27.5 32.8 35 30.7 ... #>   .. .. ..$ k                   : num [1:12] 0 0 0 0 0 0 0 0 0 0 ... #>   .. .. ..$ ks                  : num [1:12] 3.64 5.5 6.57 7.01 6.14 ... #>   .. .. ..$ z0                  : num [1:12] 0.1871 0.1817 0.1293 0.0865 0.0874 ... #>   .. .. ..$ gamma               : num [1:12] 3.20e-11 1.51e-11 8.63e-11 1.13e-11 4.67e-11 ... #>   .. .. ..$ m                   : num [1:12] 1 1 1 1 1 1 1 1 1 1 ... #>   .. .. ..$ erepro              : num [1:12] 1 1 1 1 1 1 1 1 1 1 ... #>   .. .. ..$ R_max               : num [1:12] 7.38e+11 4.10e+11 1.05e+13 1.11e+12 1.12e+10 ... #>   .. .. ..$ sel_func            : chr [1:12] \"knife_edge\" \"knife_edge\" \"knife_edge\" \"knife_edge\" ... #>   .. .. ..$ knife_edge_size     : int [1:12] 13 4 23 99 21 75 78 39 105 165 ... #>   .. .. ..$ catchability        : num [1:12] 1 1 1 1 1 1 1 1 1 1 ... #>   .. .. ..$ p                   : num [1:12] 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 ... #>   .. .. ..$ q                   : num [1:12] 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 ... #>   .. .. ..$ n                   : num [1:12] 0.667 0.667 0.667 0.667 0.667 ... #>   .. .. ..$ f0                  : num [1:12] 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 ... #>   .. .. ..$ interaction_resource: num [1:12] 1 1 1 1 1 1 1 1 1 1 ... #>   .. .. ..$ w_inf               : num [1:12] 33 36 100 334 324 ... #>   .. .. ..$ w_mat25             : num [1:12] 11.65 3.58 20.61 88.7 18.82 ... #>   .. .. ..$ w_repro_max         : num [1:12] 33 36 100 334 324 ... #>   .. .. ..$ is_background       : logi [1:12] FALSE FALSE FALSE FALSE FALSE FALSE ... #>   .. .. ..$ z_ext               : num [1:12] 0 0 0 0 0 0 0 0 0 0 ... #>   .. .. ..$ d                   : num [1:12] -0.333 -0.333 -0.333 -0.333 -0.333 ... #>   .. .. ..$ E_ext               : num [1:12] 0 0 0 0 0 0 0 0 0 0 ... #>   .. .. ..$ D_ext               : num [1:12] 0 0 0 0 0 0 0 0 0 0 ... #>   .. ..@ given_species_params   :'data.frame':\t12 obs. of  27 variables: #>   .. .. ..$ species             : chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. ..$ w_max               : num [1:12] 33 36 100 334 324 ... #>   .. .. ..$ w_mat               : int [1:12] 13 4 23 99 21 75 78 39 105 165 ... #>   .. .. ..$ beta                : int [1:12] 51076 398849 22 280540 191 22 381 283 113 558 ... #>   .. .. ..$ sigma               : num [1:12] 0.8 1.9 1.5 3.2 1.9 1.5 1.9 1.8 1.6 2.1 ... #>   .. .. ..$ k_vb                : num [1:12] 0.681 1 0.849 0.606 0.536 0.323 0.284 0.266 0.122 0.271 ... #>   .. .. ..$ gear                : chr [1:12] \"Industrial\" \"Industrial\" \"Industrial\" \"Pelagic\" ... #>   .. .. ..$ w_min               : num [1:12] 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 ... #>   .. .. ..$ alpha               : num [1:12] 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 ... #>   .. .. ..$ pred_kernel_type    : chr [1:12] \"lognormal\" \"lognormal\" \"lognormal\" \"lognormal\" ... #>   .. .. ..$ h                   : num [1:12] 18.2 27.5 32.8 35 30.7 ... #>   .. .. ..$ k                   : num [1:12] 0 0 0 0 0 0 0 0 0 0 ... #>   .. .. ..$ ks                  : num [1:12] 3.64 5.5 6.57 7.01 6.14 ... #>   .. .. ..$ z0                  : num [1:12] 0.1871 0.1817 0.1293 0.0865 0.0874 ... #>   .. .. ..$ gamma               : num [1:12] 3.20e-11 1.51e-11 8.63e-11 1.13e-11 4.67e-11 ... #>   .. .. ..$ m                   : num [1:12] 1 1 1 1 1 1 1 1 1 1 ... #>   .. .. ..$ erepro              : num [1:12] 1 1 1 1 1 1 1 1 1 1 ... #>   .. .. ..$ R_max               : num [1:12] 7.38e+11 4.10e+11 1.05e+13 1.11e+12 1.12e+10 ... #>   .. .. ..$ sel_func            : chr [1:12] \"knife_edge\" \"knife_edge\" \"knife_edge\" \"knife_edge\" ... #>   .. .. ..$ knife_edge_size     : int [1:12] 13 4 23 99 21 75 78 39 105 165 ... #>   .. .. ..$ catchability        : num [1:12] 1 1 1 1 1 1 1 1 1 1 ... #>   .. .. ..$ p                   : num [1:12] 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 ... #>   .. .. ..$ q                   : num [1:12] 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 ... #>   .. .. ..$ n                   : num [1:12] 0.667 0.667 0.667 0.667 0.667 ... #>   .. .. ..$ f0                  : num [1:12] 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 ... #>   .. .. ..$ interaction_resource: num [1:12] 1 1 1 1 1 1 1 1 1 1 ... #>   .. .. ..$ w_inf               : num [1:12] 33 36 100 334 324 ... #>   .. ..@ interaction            : num [1:12, 1:12] 0.7291 0.0341 0.0635 0.2742 0.3624 ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ predator: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ prey    : chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. ..@ gear_params            :'data.frame':\t12 obs. of  5 variables: #>   .. .. ..$ gear           : chr [1:12] \"Industrial\" \"Industrial\" \"Industrial\" \"Pelagic\" ... #>   .. .. ..$ species        : chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. ..$ sel_func       : chr [1:12] \"knife_edge\" \"knife_edge\" \"knife_edge\" \"knife_edge\" ... #>   .. .. ..$ knife_edge_size: int [1:12] 13 4 23 99 21 75 78 39 105 165 ... #>   .. .. ..$ catchability   : num [1:12] 1 1 1 1 1 1 1 1 1 1 ... #>   .. ..@ selectivity            : num [1:4, 1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ... #>   .. .. ..- attr(*, \"dimnames\")=List of 3 #>   .. .. .. ..$ gear: chr [1:4] \"Industrial\" \"Pelagic\" \"Beam\" \"Otter\" #>   .. .. .. ..$ sp  : chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ w   : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... #>   .. ..@ catchability           : num [1:4, 1:12] 1 0 0 0 1 0 0 0 1 0 ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ gear: chr [1:4] \"Industrial\" \"Pelagic\" \"Beam\" \"Otter\" #>   .. .. .. ..$ sp  : chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. ..@ initial_effort         : Named num [1:4] 0 1 0.5 0.5 #>   .. .. ..- attr(*, \"names\")= chr [1:4] \"Industrial\" \"Pelagic\" \"Beam\" \"Otter\" #>   .. ..@ A                      : num [1:12] 1 1 1 1 1 1 1 1 1 1 ... #>   .. ..@ linecolour             : Named chr [1:17] \"#815f00\" \"#6237e2\" \"#8da600\" \"#de53ff\" ... #>   .. .. ..- attr(*, \"names\")= chr [1:17] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. ..@ linetype               : Named chr [1:16] \"solid\" \"solid\" \"solid\" \"solid\" ... #>   .. .. ..- attr(*, \"names\")= chr [1:16] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. ..@ ft_mask                : logi [1:12, 1:226] TRUE TRUE TRUE TRUE TRUE TRUE ... #>   .. ..@ use_predation_diffusion: logi FALSE # Get the initial total fishing mortality when effort is different # between the four gears: F <- getFMort(params, effort = c(0.5,1,1.5,0.75)) # Get the total fishing mortality when effort is different # between the four gears and changes with time: effort <- array(NA, dim = c(20,4)) effort[, 1] <- seq(from = 0, to = 1, length = 20) effort[, 2] <- seq(from = 1, to = 0.5, length = 20) effort[, 3] <- seq(from = 1, to = 2, length = 20) effort[, 4] <- seq(from = 2, to = 1, length = 20) F <- getFMort(params, effort = effort) str(F) #>  num [1:20, 1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ... #>  - attr(*, \"dimnames\")=List of 3 #>   ..$ time: NULL #>   ..$ sp  : chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   ..$ w   : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... # Get the total fishing mortality using the effort already held in a  # MizerSim object. sim <- project(params, t_max = 20, effort = 0.5) F <- getFMort(sim) F <- getFMort(sim, time_range = c(10, 20)) # }"},{"path":"https://sizespectrum.org/mizer/reference/getFMortGear.html","id":null,"dir":"Reference","previous_headings":"","what":"Get the fishing mortality by time, gear, species and size — getFMortGear","title":"Get the fishing mortality by time, gear, species and size — getFMortGear","text":"Calculates fishing mortality rate \\(F_{g,,w}\\) gear, species size possibly time (units 1/year).","code":""},{"path":"https://sizespectrum.org/mizer/reference/getFMortGear.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get the fishing mortality by time, gear, species and size — getFMortGear","text":"","code":"getFMortGear(object, effort, time_range)"},{"path":"https://sizespectrum.org/mizer/reference/getFMortGear.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get the fishing mortality by time, gear, species and size — getFMortGear","text":"object MizerParams object MizerSim object. effort effort fishing gear. See notes . time_range Subset returned fishing mortalities time. time range either vector values, vector min max time, single value. Default whole time range. used object argument type MizerSim.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getFMortGear.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get the fishing mortality by time, gear, species and size — getFMortGear","text":"array. effort argument time dimension, MizerSim passed , output array four dimensions (time x gear x species x size). effort argument time dimension (.e. vector single numeric), output array three dimensions (gear x species x size).","code":""},{"path":"https://sizespectrum.org/mizer/reference/getFMortGear.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"Get the fishing mortality by time, gear, species and size — getFMortGear","text":": fishing mortality = catchability x selectivity x effort. effort argument used MizerParams object passed . effort argument can two dimensional array (time x gear), vector length equal number gears (gear different effort constant time), single numeric value (gear effort constant time). order gears effort argument must MizerParams object. effort argument supplied, value taken @initial_effort slot params object. object argument class MizerSim effort slot MizerSim object used effort argument used.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/getFMortGear.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get the fishing mortality by time, gear, species and size — getFMortGear","text":"","code":"# \\donttest{ params <-NS_params # Get the fishing mortality in initial state F <- getFMortGear(params, effort = 1) str(F) #>  num [1:4, 1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ... #>  - attr(*, \"dimnames\")=List of 3 #>   ..$ gear: chr [1:4] \"Industrial\" \"Pelagic\" \"Beam\" \"Otter\" #>   ..$ sp  : chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   ..$ w   : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... # Get the initial fishing mortality when effort is different # between the four gears: F <- getFMortGear(params, effort = c(0.5, 1, 1.5, 0.75)) # Get the fishing mortality when effort is different # between the four gears and changes with time: effort <- array(NA, dim = c(20, 4)) effort[, 1] <- seq(from=0, to = 1, length = 20) effort[, 2] <- seq(from=1, to = 0.5, length = 20) effort[, 3] <- seq(from=1, to = 2, length = 20) effort[, 4] <- seq(from=2, to = 1, length = 20) F <- getFMortGear(params, effort = effort) str(F) #>  num [1:20, 1:4, 1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ... #>  - attr(*, \"dimnames\")=List of 4 #>   ..$ time: NULL #>   ..$ gear: chr [1:4] \"Industrial\" \"Pelagic\" \"Beam\" \"Otter\" #>   ..$ sp  : chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   ..$ w   : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... # Get the fishing mortality using the effort already held in a MizerSim object. sim <- project(params, t_max = 20, effort = 0.5) F <- getFMortGear(sim) F <- getFMortGear(sim, time_range = c(10, 20)) # }"},{"path":"https://sizespectrum.org/mizer/reference/getFeedingLevel.html","id":null,"dir":"Reference","previous_headings":"","what":"Get feeding level — getFeedingLevel","title":"Get feeding level — getFeedingLevel","text":"Returns feeding level. default function uses mizerFeedingLevel() calculate feeding level, can overruled via setRateFunction().","code":""},{"path":"https://sizespectrum.org/mizer/reference/getFeedingLevel.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get feeding level — getFeedingLevel","text":"","code":"getFeedingLevel(object, n, n_pp, n_other, time_range, drop = FALSE, ...)"},{"path":"https://sizespectrum.org/mizer/reference/getFeedingLevel.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get feeding level — getFeedingLevel","text":"object MizerParams object MizerSim object n matrix species abundances (species x size). n_pp vector resource abundance size n_other list abundances dynamical components ecosystem time_range numeric character vector times. range values matters, saved times min(time_range) max(time_range) selected. drop TRUE dimension length 1 removed returned array. ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/getFeedingLevel.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get feeding level — getFeedingLevel","text":"MizerParams object passed , returns ArraySpeciesBySize object (predator species x predator size) feeding level. MizerSim object passed , returns three-dimensional array (time step x predator species x predator size) feeding level every time step. drop = TRUE dimensions length 1 removed returned array.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getFeedingLevel.html","id":"feeding-level","dir":"Reference","previous_headings":"","what":"Feeding level","title":"Get feeding level — getFeedingLevel","text":"feeding level \\(f_i(w)\\) proportion maximum intake rate predator actually taking fish. calculated encounter rate \\(E_i\\) maximum intake rate \\(h_i(w)\\) $$f_i(w) = \\frac{E_i(w)}{E_i(w)+h_i(w)}.$$ encounter rate \\(E_i\\) passed argument calculated getEncounter(). maximum intake rate \\(h_i(w)\\) taken params object, set setMaxIntakeRate(). consequence expression feeding level, \\(1-f_i(w)\\) proportion food available predator actually consumes.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getFeedingLevel.html","id":"your-own-feeding-level-function","dir":"Reference","previous_headings":"","what":"Your own feeding level function","title":"Get feeding level — getFeedingLevel","text":"default getFeedingLevel() calls mizerFeedingLevel(). However can replace alternative feeding level function. function called \"myFeedingLevel\" register MizerParams object params   function called instead mizerFeedingLevel(), arguments.","code":"params <- setRateFunction(params, \"FeedingLevel\", \"myFeedingLevel\")"},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/getFeedingLevel.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get feeding level — getFeedingLevel","text":"","code":"# \\donttest{ params <- NS_params # Get initial feeding level fl <- getFeedingLevel(params) # Project with constant fishing effort for all gears for 20 time steps sim <- project(params, t_max = 20, effort = 0.5) # Get the feeding level at all saved time steps fl <- getFeedingLevel(sim) # Get the feeding level for years 15 - 20 fl <- getFeedingLevel(sim, time_range = c(15, 20)) # }"},{"path":"https://sizespectrum.org/mizer/reference/getFlux.html","id":null,"dir":"Reference","previous_headings":"","what":"Get flux into size bins — getFlux","title":"Get flux into size bins — getFlux","text":"Calculates flux \\(J_i(w)\\) (numbers/year) entering size class one . composed advective flux somatic growth diffusive flux redistribution individuals.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getFlux.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get flux into size bins — getFlux","text":"","code":"getFlux(   params,   n = initialN(params),   n_pp = initialNResource(params),   n_other = initialNOther(params),   t = 0,   ... )"},{"path":"https://sizespectrum.org/mizer/reference/getFlux.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get flux into size bins — getFlux","text":"params MizerParams object n matrix species abundances (species x size). n_pp vector resource abundance size n_other list abundances dynamical components ecosystem t time calculation (used standard mizer rate functions useful extensions time-dependent parameters.) ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/getFlux.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get flux into size bins — getFlux","text":"ArraySpeciesBySize object (species x size) flux individuals entering size class (numbers/year).","code":""},{"path":"https://sizespectrum.org/mizer/reference/getFlux.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Get flux into size bins — getFlux","text":"recruitment size, flux simply recruitment rate \\(R_{dd,}\\) (see getRDD()). sizes recruitment size flux zero.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/getFlux.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get flux into size bins — getFlux","text":"","code":"# \\donttest{ params <- NS_params # Project with constant fishing effort for all gears for 20 time steps sim <- project(params, t_max = 20, effort = 0.5) # Get the flux at a particular time step flux <- getFlux(params, n = N(sim)[15, , ], n_pp = NResource(sim)[15, ], t = 15) # Flux for Sprat of size 2g flux[\"Sprat\", \"2\"] #> [1] 45461076783 # }"},{"path":"https://sizespectrum.org/mizer/reference/getGrowthCurves.html","id":null,"dir":"Reference","previous_headings":"","what":"Get growth curves giving weight as a function of age — getGrowthCurves","title":"Get growth curves giving weight as a function of age — getGrowthCurves","text":"Get growth curves giving weight function age","code":""},{"path":"https://sizespectrum.org/mizer/reference/getGrowthCurves.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get growth curves giving weight as a function of age — getGrowthCurves","text":"","code":"getGrowthCurves(object, species = NULL, max_age = 20, percentage = FALSE)"},{"path":"https://sizespectrum.org/mizer/reference/getGrowthCurves.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get growth curves giving weight as a function of age — getGrowthCurves","text":"object MizerSim MizerParams object. given MizerSim object, uses growth rates final time simulation calculate size age. given MizerParams object, uses initial growth rates instead. species species selected. Optional. default target species selected. vector species names, numeric vector species indices, logical vector indicating species whether selected (TRUE) . max_age age run growth curve. Default 20. percentage Boolean value. TRUE, size given percentage maximal size.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getGrowthCurves.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get growth curves giving weight as a function of age — getGrowthCurves","text":"array (species x age) containing weight grams.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/getGrowthCurves.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get growth curves giving weight as a function of age — getGrowthCurves","text":"","code":"growth_curves <- getGrowthCurves(NS_params, species = c(\"Cod\", \"Haddock\")) str(growth_curves) #>  num [1:2, 1:50] 0.001 0.001 0.87 2.546 4.499 ... #>  - attr(*, \"dimnames\")=List of 2 #>   ..$ Species: chr [1:2] \"Haddock\" \"Cod\" #>   ..$ Age    : chr [1:50] \"0\" \"0.408163265306122\" \"0.816326530612245\" \"1.22448979591837\" ...  library(ggplot2) ggplot(melt(growth_curves)) +   geom_line(aes(Age, value)) +   facet_wrap(~ Species, scales = \"free\") +   ylab(\"Size[g]\") + xlab(\"Age[years]\")"},{"path":"https://sizespectrum.org/mizer/reference/getInteraction.html","id":null,"dir":"Reference","previous_headings":"","what":"Deprecated function to get interaction matrix — getInteraction","title":"Deprecated function to get interaction matrix — getInteraction","text":"now use interaction_matrix() instead.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getInteraction.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Deprecated function to get interaction matrix — getInteraction","text":"","code":"getInteraction(params)"},{"path":"https://sizespectrum.org/mizer/reference/getInteraction.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Deprecated function to get interaction matrix — getInteraction","text":"params MizerParams object","code":""},{"path":"https://sizespectrum.org/mizer/reference/getM2.html","id":null,"dir":"Reference","previous_headings":"","what":"Alias for getPredMort() — getM2","title":"Alias for getPredMort() — getM2","text":"alias provided backward compatibility mizer version <= 1.0","code":""},{"path":"https://sizespectrum.org/mizer/reference/getM2.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Alias for getPredMort() — getM2","text":"","code":"getM2(object, n, n_pp, n_other, time_range, drop = TRUE, ...)"},{"path":"https://sizespectrum.org/mizer/reference/getM2.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Alias for getPredMort() — getM2","text":"object MizerParams object MizerSim object n matrix species abundances (species x size). n_pp vector resource abundance size n_other list abundances dynamical components ecosystem time_range numeric character vector times. range values matters, saved times min(time_range) max(time_range) selected. drop TRUE dimension length 1 removed returned array. ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/getM2.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Alias for getPredMort() — getM2","text":"MizerParams object passed , returns ArraySpeciesBySize object (prey species x prey size) predation mortality rates. MizerSim object passed , returns three-dimensional array (time step x prey species x prey size) predation mortality every time step. Dimensions may dropped length 1 unless drop = FALSE.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getM2.html","id":"your-own-predation-mortality-function","dir":"Reference","previous_headings":"","what":"Your own predation mortality function","title":"Alias for getPredMort() — getM2","text":"default getPredMort() calls mizerPredMort(). However can replace alternative predation mortality function. function called \"myPredMort\" register MizerParams object params   function called instead mizerPredMort(), arguments.","code":"params <- setRateFunction(params, \"PredMort\", \"myPredMort\")"},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/getM2.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Alias for getPredMort() — getM2","text":"","code":"# \\donttest{ params <- NS_params # Predation mortality in initial state M2 <- getPredMort(params) str(M2) #>  'ArraySpeciesBySize' num [1:12, 1:100] 3.64 4.43 4.31 4.89 4.8 ... #>  - attr(*, \"dimnames\")=List of 2 #>   ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   ..$ w : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... #>  - attr(*, \"value_name\")= chr \"Predation mortality\" #>  - attr(*, \"units\")= chr \"1/year\" #>  - attr(*, \"params\")=Formal class 'MizerParams' [package \"mizer\"] with 46 slots #>   .. ..@ metadata               : list() #>   .. ..@ mizer_version          :Classes 'package_version', 'numeric_version'  hidden list of 1 #>   .. .. ..$ : int [1:4] 2 5 4 9123 #>   .. ..@ extensions             : chr(0)  #>   .. ..@ time_created           : POSIXct[1:1], format: \"2021-09-03 20:29:38\" #>   .. ..@ time_modified          : POSIXct[1:1], format: \"2026-04-12 11:31:45\" #>   .. ..@ w                      : num [1:100] 0.001 0.00119 0.00142 0.0017 0.00203 ... #>   .. ..@ dw                     : num [1:100] 0.000193 0.000231 0.000275 0.000329 0.000392 ... #>   .. ..@ w_full                 : num [1:226] 2.12e-13 2.53e-13 3.02e-13 3.61e-13 4.30e-13 ... #>   .. ..@ dw_full                : num [1:226] 4.10e-14 4.90e-14 5.84e-14 6.97e-14 8.32e-14 ... #>   .. ..@ w_min_idx              : Named num [1:12] 1 1 1 1 1 1 1 1 1 1 ... #>   .. .. ..- attr(*, \"names\")= chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. ..@ maturity               : num [1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ w : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... #>   .. ..@ psi                    : num [1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ w : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... #>   .. ..@ initial_n              : num [1:12, 1:100] 1.84e+13 6.86e+12 1.44e+14 1.45e+13 1.71e+11 ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ w : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... #>   .. ..@ intake_max             : num [1:12, 1:100] 0.182 0.275 0.328 0.35 0.307 ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ w : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... #>   .. ..@ search_vol             : num [1:12, 1:100] 1.27e-13 6.00e-14 3.44e-13 4.49e-14 1.86e-13 ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ w : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... #>   .. ..@ metab                  : num [1:12, 1:100] 0.0289 0.0437 0.0522 0.0557 0.0487 ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ w : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... #>   .. ..@ pred_kernel            : logi [1(1d)] NA #>   .. ..@ ft_pred_kernel_e       : cplx [1:12, 1:226] 11.3+0i 26.9+0i 20.8+0i ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ k : chr [1:226] \"1\" \"2\" \"3\" \"4\" ... #>   .. ..@ ft_pred_kernel_p       : cplx [1:12, 1:226] 11.3+0i 26.9+0i 20.8+0i ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ k : chr [1:226] \"1\" \"2\" \"3\" \"4\" ... #>   .. ..@ mu_b                   : num [1:12, 1:100] 0.1871 0.1817 0.1293 0.0865 0.0874 ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ w : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... #>   .. ..@ ext_encounter          : num [1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ w : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... #>   .. ..@ ext_diffusion          : num [1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ w : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... #>   .. ..@ rr_pp                  : Named num [1:226] 167660 158066 149021 140494 132455 ... #>   .. .. ..- attr(*, \"names\")= chr [1:226] \"2.12e-13\" \"2.53e-13\" \"3.02e-13\" \"3.61e-13\" ... #>   .. ..@ cc_pp                  : Named num [1:226] 1.09e+38 7.46e+37 5.11e+37 3.51e+37 2.41e+37 ... #>   .. .. ..- attr(*, \"names\")= chr [1:226] \"2.12e-13\" \"2.53e-13\" \"3.02e-13\" \"3.61e-13\" ... #>   .. ..@ resource_dynamics      : chr \"resource_semichemostat\" #>   .. ..@ resource_params        :List of 5 #>   .. .. ..$ kappa      : num 1e+11 #>   .. .. ..$ lambda     : num 2.13 #>   .. .. ..$ r_pp       : num 10 #>   .. .. ..$ n          : num 0.667 #>   .. .. ..$ w_pp_cutoff: num 9.82 #>   .. ..@ other_dynamics         : list() #>   .. ..@ other_params           : list() #>   .. ..@ other_encounter        : list() #>   .. ..@ other_mort             : list() #>   .. ..@ rates_funcs            :List of 14 #>   .. .. ..$ Rates          : chr \"mizerRates\" #>   .. .. ..$ Encounter      : chr \"mizerEncounter\" #>   .. .. ..$ FeedingLevel   : chr \"mizerFeedingLevel\" #>   .. .. ..$ EReproAndGrowth: chr \"mizerEReproAndGrowth\" #>   .. .. ..$ PredRate       : chr \"mizerPredRate\" #>   .. .. ..$ PredMort       : chr \"mizerPredMort\" #>   .. .. ..$ FMort          : chr \"mizerFMort\" #>   .. .. ..$ Mort           : chr \"mizerMort\" #>   .. .. ..$ ERepro         : chr \"mizerERepro\" #>   .. .. ..$ EGrowth        : chr \"mizerEGrowth\" #>   .. .. ..$ ResourceMort   : chr \"mizerResourceMort\" #>   .. .. ..$ RDI            : chr \"mizerRDI\" #>   .. .. ..$ RDD            : chr \"BevertonHoltRDD\" #>   .. .. ..$ Diffusion      : chr \"mizerDiffusion\" #>   .. ..@ sc                     : num [1:100] 0.001 0.00119 0.00142 0.0017 0.00203 ... #>   .. ..@ initial_n_pp           : Named num [1:226] 1.09e+38 7.46e+37 5.11e+37 3.51e+37 2.41e+37 ... #>   .. .. ..- attr(*, \"names\")= chr [1:226] \"2.12e-13\" \"2.53e-13\" \"3.02e-13\" \"3.61e-13\" ... #>   .. ..@ initial_n_other        : list() #>   .. ..@ species_params         :'data.frame':\t12 obs. of  34 variables: #>   .. .. ..$ species             : chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. ..$ w_max               : num [1:12] 33 36 100 334 324 ... #>   .. .. ..$ w_mat               : int [1:12] 13 4 23 99 21 75 78 39 105 165 ... #>   .. .. ..$ beta                : int [1:12] 51076 398849 22 280540 191 22 381 283 113 558 ... #>   .. .. ..$ sigma               : num [1:12] 0.8 1.9 1.5 3.2 1.9 1.5 1.9 1.8 1.6 2.1 ... #>   .. .. ..$ k_vb                : num [1:12] 0.681 1 0.849 0.606 0.536 0.323 0.284 0.266 0.122 0.271 ... #>   .. .. ..$ gear                : chr [1:12] \"Industrial\" \"Industrial\" \"Industrial\" \"Pelagic\" ... #>   .. .. ..$ w_min               : num [1:12] 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 ... #>   .. .. ..$ alpha               : num [1:12] 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 ... #>   .. .. ..$ pred_kernel_type    : chr [1:12] \"lognormal\" \"lognormal\" \"lognormal\" \"lognormal\" ... #>   .. .. ..$ h                   : num [1:12] 18.2 27.5 32.8 35 30.7 ... #>   .. .. ..$ k                   : num [1:12] 0 0 0 0 0 0 0 0 0 0 ... #>   .. .. ..$ ks                  : num [1:12] 3.64 5.5 6.57 7.01 6.14 ... #>   .. .. ..$ z0                  : num [1:12] 0.1871 0.1817 0.1293 0.0865 0.0874 ... #>   .. .. ..$ gamma               : num [1:12] 3.20e-11 1.51e-11 8.63e-11 1.13e-11 4.67e-11 ... #>   .. .. ..$ m                   : num [1:12] 1 1 1 1 1 1 1 1 1 1 ... #>   .. .. ..$ erepro              : num [1:12] 1 1 1 1 1 1 1 1 1 1 ... #>   .. .. ..$ R_max               : num [1:12] 7.38e+11 4.10e+11 1.05e+13 1.11e+12 1.12e+10 ... #>   .. .. ..$ sel_func            : chr [1:12] \"knife_edge\" \"knife_edge\" \"knife_edge\" \"knife_edge\" ... #>   .. .. ..$ knife_edge_size     : int [1:12] 13 4 23 99 21 75 78 39 105 165 ... #>   .. .. ..$ catchability        : num [1:12] 1 1 1 1 1 1 1 1 1 1 ... #>   .. .. ..$ p                   : num [1:12] 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 ... #>   .. .. ..$ q                   : num [1:12] 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 ... #>   .. .. ..$ n                   : num [1:12] 0.667 0.667 0.667 0.667 0.667 ... #>   .. .. ..$ f0                  : num [1:12] 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 ... #>   .. .. ..$ interaction_resource: num [1:12] 1 1 1 1 1 1 1 1 1 1 ... #>   .. .. ..$ w_inf               : num [1:12] 33 36 100 334 324 ... #>   .. .. ..$ w_mat25             : num [1:12] 11.65 3.58 20.61 88.7 18.82 ... #>   .. .. ..$ w_repro_max         : num [1:12] 33 36 100 334 324 ... #>   .. .. ..$ is_background       : logi [1:12] FALSE FALSE FALSE FALSE FALSE FALSE ... #>   .. .. ..$ z_ext               : num [1:12] 0 0 0 0 0 0 0 0 0 0 ... #>   .. .. ..$ d                   : num [1:12] -0.333 -0.333 -0.333 -0.333 -0.333 ... #>   .. .. ..$ E_ext               : num [1:12] 0 0 0 0 0 0 0 0 0 0 ... #>   .. .. ..$ D_ext               : num [1:12] 0 0 0 0 0 0 0 0 0 0 ... #>   .. ..@ given_species_params   :'data.frame':\t12 obs. of  27 variables: #>   .. .. ..$ species             : chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. ..$ w_max               : num [1:12] 33 36 100 334 324 ... #>   .. .. ..$ w_mat               : int [1:12] 13 4 23 99 21 75 78 39 105 165 ... #>   .. .. ..$ beta                : int [1:12] 51076 398849 22 280540 191 22 381 283 113 558 ... #>   .. .. ..$ sigma               : num [1:12] 0.8 1.9 1.5 3.2 1.9 1.5 1.9 1.8 1.6 2.1 ... #>   .. .. ..$ k_vb                : num [1:12] 0.681 1 0.849 0.606 0.536 0.323 0.284 0.266 0.122 0.271 ... #>   .. .. ..$ gear                : chr [1:12] \"Industrial\" \"Industrial\" \"Industrial\" \"Pelagic\" ... #>   .. .. ..$ w_min               : num [1:12] 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 ... #>   .. .. ..$ alpha               : num [1:12] 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 ... #>   .. .. ..$ pred_kernel_type    : chr [1:12] \"lognormal\" \"lognormal\" \"lognormal\" \"lognormal\" ... #>   .. .. ..$ h                   : num [1:12] 18.2 27.5 32.8 35 30.7 ... #>   .. .. ..$ k                   : num [1:12] 0 0 0 0 0 0 0 0 0 0 ... #>   .. .. ..$ ks                  : num [1:12] 3.64 5.5 6.57 7.01 6.14 ... #>   .. .. ..$ z0                  : num [1:12] 0.1871 0.1817 0.1293 0.0865 0.0874 ... #>   .. .. ..$ gamma               : num [1:12] 3.20e-11 1.51e-11 8.63e-11 1.13e-11 4.67e-11 ... #>   .. .. ..$ m                   : num [1:12] 1 1 1 1 1 1 1 1 1 1 ... #>   .. .. ..$ erepro              : num [1:12] 1 1 1 1 1 1 1 1 1 1 ... #>   .. .. ..$ R_max               : num [1:12] 7.38e+11 4.10e+11 1.05e+13 1.11e+12 1.12e+10 ... #>   .. .. ..$ sel_func            : chr [1:12] \"knife_edge\" \"knife_edge\" \"knife_edge\" \"knife_edge\" ... #>   .. .. ..$ knife_edge_size     : int [1:12] 13 4 23 99 21 75 78 39 105 165 ... #>   .. .. ..$ catchability        : num [1:12] 1 1 1 1 1 1 1 1 1 1 ... #>   .. .. ..$ p                   : num [1:12] 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 ... #>   .. .. ..$ q                   : num [1:12] 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 ... #>   .. .. ..$ n                   : num [1:12] 0.667 0.667 0.667 0.667 0.667 ... #>   .. .. ..$ f0                  : num [1:12] 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 ... #>   .. .. ..$ interaction_resource: num [1:12] 1 1 1 1 1 1 1 1 1 1 ... #>   .. .. ..$ w_inf               : num [1:12] 33 36 100 334 324 ... #>   .. ..@ interaction            : num [1:12, 1:12] 0.7291 0.0341 0.0635 0.2742 0.3624 ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ predator: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ prey    : chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. ..@ gear_params            :'data.frame':\t12 obs. of  5 variables: #>   .. .. ..$ gear           : chr [1:12] \"Industrial\" \"Industrial\" \"Industrial\" \"Pelagic\" ... #>   .. .. ..$ species        : chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. ..$ sel_func       : chr [1:12] \"knife_edge\" \"knife_edge\" \"knife_edge\" \"knife_edge\" ... #>   .. .. ..$ knife_edge_size: int [1:12] 13 4 23 99 21 75 78 39 105 165 ... #>   .. .. ..$ catchability   : num [1:12] 1 1 1 1 1 1 1 1 1 1 ... #>   .. ..@ selectivity            : num [1:4, 1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ... #>   .. .. ..- attr(*, \"dimnames\")=List of 3 #>   .. .. .. ..$ gear: chr [1:4] \"Industrial\" \"Pelagic\" \"Beam\" \"Otter\" #>   .. .. .. ..$ sp  : chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ w   : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... #>   .. ..@ catchability           : num [1:4, 1:12] 1 0 0 0 1 0 0 0 1 0 ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ gear: chr [1:4] \"Industrial\" \"Pelagic\" \"Beam\" \"Otter\" #>   .. .. .. ..$ sp  : chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. ..@ initial_effort         : Named num [1:4] 0 1 0.5 0.5 #>   .. .. ..- attr(*, \"names\")= chr [1:4] \"Industrial\" \"Pelagic\" \"Beam\" \"Otter\" #>   .. ..@ A                      : num [1:12] 1 1 1 1 1 1 1 1 1 1 ... #>   .. ..@ linecolour             : Named chr [1:17] \"#815f00\" \"#6237e2\" \"#8da600\" \"#de53ff\" ... #>   .. .. ..- attr(*, \"names\")= chr [1:17] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. ..@ linetype               : Named chr [1:16] \"solid\" \"solid\" \"solid\" \"solid\" ... #>   .. .. ..- attr(*, \"names\")= chr [1:16] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. ..@ ft_mask                : logi [1:12, 1:226] TRUE TRUE TRUE TRUE TRUE TRUE ... #>   .. ..@ use_predation_diffusion: logi FALSE # With constant fishing effort for all gears for 20 time steps sim <- project(params, t_max = 20, effort = 0.5) # Get predation mortality at one time step M2 <- getPredMort(params, n = N(sim)[15, , ], n_pp = NResource(sim)[15, ]) # Get predation mortality at all saved time steps M2 <- getPredMort(sim) str(M2) #>  num [1:21, 1:12, 1:100] 3.64 3.42 3.29 3.2 3.16 ... #>  - attr(*, \"dimnames\")=List of 3 #>   ..$ time: chr [1:21] \"0\" \"1\" \"2\" \"3\" ... #>   ..$ sp  : chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   ..$ w   : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... # Get predation mortality over the years 15 - 20 M2 <- getPredMort(sim, time_range = c(15, 20)) # }"},{"path":"https://sizespectrum.org/mizer/reference/getM2Background.html","id":null,"dir":"Reference","previous_headings":"","what":"Alias for getResourceMort() — getM2Background","title":"Alias for getResourceMort() — getM2Background","text":"alias provided backward compatibility mizer version <= 1.0","code":""},{"path":"https://sizespectrum.org/mizer/reference/getM2Background.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Alias for getResourceMort() — getM2Background","text":"","code":"getM2Background(   params,   n = initialN(params),   n_pp = initialNResource(params),   n_other = initialNOther(params),   t = 0,   ... )"},{"path":"https://sizespectrum.org/mizer/reference/getM2Background.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Alias for getResourceMort() — getM2Background","text":"params MizerParams object n matrix species abundances (species x size). n_pp vector resource abundance size n_other list abundances dynamical components ecosystem t time calculation (used standard mizer rate functions useful extensions time-dependent parameters.) ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/getM2Background.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Alias for getResourceMort() — getM2Background","text":"vector mortality rate resource size.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getM2Background.html","id":"your-own-resource-mortality-function","dir":"Reference","previous_headings":"","what":"Your own resource mortality function","title":"Alias for getResourceMort() — getM2Background","text":"default getResourceMort() calls mizerResourceMort(). However can replace alternative resource mortality function. function called \"myResourceMort\" register MizerParams object params   function called instead mizerResourceMort(), arguments.","code":"params <- setRateFunction(params, \"ResourceMort\", \"myResourceMort\")"},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/getM2Background.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Alias for getResourceMort() — getM2Background","text":"","code":"# \\donttest{ params <- NS_params # With constant fishing effort for all gears for 20 time steps sim <- project(params, t_max = 20, effort = 0.5) # Get resource mortality at one time step getResourceMort(params, n = N(sim)[15, , ], n_pp = NResource(sim)[15, ]) #>     2.12e-13     2.53e-13     3.02e-13     3.61e-13      4.3e-13     5.14e-13  #> 1.191600e-05 1.465460e-05 1.798292e-05 2.201903e-05 2.690274e-05 3.279930e-05  #>     6.13e-13     7.31e-13     8.73e-13     1.04e-12     1.24e-12     1.48e-12  #> 3.990356e-05 4.844483e-05 5.869238e-05 7.096180e-05 8.562223e-05 1.031046e-04  #>     1.77e-12     2.11e-12     2.52e-12     3.01e-12     3.59e-12     4.28e-12  #> 1.239110e-04 1.486254e-04 1.779260e-04 2.125986e-04 2.535523e-04 3.018375e-04  #>     5.11e-12      6.1e-12     7.28e-12     8.69e-12     1.04e-11     1.24e-11  #> 3.586655e-04 4.254310e-04 5.037376e-04 5.954260e-04 7.026065e-04 8.276945e-04  #>     1.48e-11     1.76e-11      2.1e-11     2.51e-11     2.99e-11     3.57e-11  #> 9.734509e-04 1.143027e-03 1.340016e-03 1.568506e-03 1.833146e-03 2.139215e-03  #>     4.26e-11     5.09e-11     6.07e-11     7.25e-11     8.65e-11     1.03e-10  #> 2.492696e-03 2.900367e-03 3.369892e-03 3.909929e-03 4.530249e-03 5.241863e-03  #>     1.23e-10     1.47e-10     1.75e-10     2.09e-10      2.5e-10     2.98e-10  #> 6.057169e-03 6.990113e-03 8.056368e-03 9.273534e-03 1.066136e-02 1.224199e-02  #>     3.56e-10     4.25e-10     5.07e-10     6.05e-10     7.21e-10     8.61e-10  #> 1.404025e-02 1.608396e-02 1.840426e-02 2.103607e-02 2.401848e-02 2.739529e-02  #>     1.03e-09     1.23e-09     1.46e-09     1.75e-09     2.08e-09     2.49e-09  #> 3.121561e-02 3.553457e-02 4.041409e-02 4.592387e-02 5.214254e-02 5.915897e-02  #>     2.97e-09     3.54e-09     4.23e-09     5.04e-09     6.02e-09     7.18e-09  #> 6.707381e-02 7.600133e-02 8.607129e-02 9.743112e-02 1.102481e-01 1.247118e-01  #>     8.57e-09     1.02e-08     1.22e-08     1.46e-08     1.74e-08     2.07e-08  #> 1.410363e-01 1.594636e-01 1.802665e-01 2.037529e-01 2.302707e-01 2.602140e-01  #>     2.48e-08     2.95e-08     3.53e-08     4.21e-08     5.02e-08     5.99e-08  #> 2.940298e-01 3.322254e-01 3.753760e-01 4.241321e-01 4.792265e-01 5.414796e-01  #>     7.15e-08     8.53e-08     1.02e-07     1.22e-07     1.45e-07     1.73e-07  #> 6.118044e-01 6.912085e-01 7.807945e-01 8.817570e-01 9.953761e-01 1.123005e+00  #>     2.07e-07     2.46e-07     2.94e-07     3.51e-07     4.19e-07        5e-07  #> 1.266056e+00 1.425971e+00 1.604200e+00 1.802155e+00 2.021173e+00 2.262461e+00  #>     5.96e-07     7.12e-07     8.49e-07     1.01e-06     1.21e-06     1.44e-06  #> 2.527036e+00 2.815672e+00 3.128828e+00 3.466589e+00 3.828609e+00 4.214051e+00  #>     1.72e-06     2.06e-06     2.45e-06     2.93e-06     3.49e-06     4.17e-06  #> 4.621551e+00 5.049193e+00 5.494492e+00 5.954415e+00 6.425412e+00 6.903482e+00  #>     4.98e-06     5.94e-06     7.09e-06     8.46e-06     1.01e-05      1.2e-05  #> 7.384253e+00 7.863102e+00 8.335280e+00 8.796067e+00 9.240932e+00 9.665706e+00  #>     1.44e-05     1.71e-05     2.05e-05     2.44e-05     2.91e-05     3.48e-05  #> 1.006675e+01 1.044112e+01 1.078672e+01 1.110244e+01 1.138819e+01 1.164500e+01  #>     4.15e-05     4.95e-05     5.91e-05     7.05e-05     8.42e-05        1e-04  #> 1.187490e+01 1.208070e+01 1.226570e+01 1.243314e+01 1.258558e+01 1.272433e+01  #>      0.00012     0.000143     0.000171     0.000204     0.000243      0.00029  #> 1.284898e+01 1.295739e+01 1.304607e+01 1.311126e+01 1.315020e+01 1.316268e+01  #>     0.000346     0.000413     0.000493     0.000588     0.000702     0.000838  #> 1.315211e+01 1.312594e+01 1.309514e+01 1.307283e+01 1.307241e+01 1.310551e+01  #>        0.001      0.00119      0.00142       0.0017      0.00203      0.00242  #> 1.317995e+01 1.330042e+01 1.346681e+01 1.367535e+01 1.391969e+01 1.419202e+01  #>      0.00289      0.00345      0.00411      0.00491      0.00586      0.00699  #> 1.448407e+01 1.478786e+01 1.509615e+01 1.540257e+01 1.570168e+01 1.598885e+01  #>      0.00834      0.00995       0.0119       0.0142       0.0169       0.0202  #> 1.626016e+01 1.651232e+01 1.674253e+01 1.694847e+01 1.712823e+01 1.728027e+01  #>       0.0241       0.0288       0.0343       0.0409       0.0489       0.0583  #> 1.740341e+01 1.749673e+01 1.755959e+01 1.759152e+01 1.759215e+01 1.756122e+01  #>       0.0696        0.083       0.0991        0.118        0.141        0.168  #> 1.749844e+01 1.740347e+01 1.727591e+01 1.711521e+01 1.692075e+01 1.669182e+01  #>        0.201         0.24        0.286        0.342        0.408        0.486  #> 1.642767e+01 1.612762e+01 1.579110e+01 1.541784e+01 1.500795e+01 1.456207e+01  #>         0.58        0.693        0.827        0.987         1.18          1.4  #> 1.408146e+01 1.356818e+01 1.302509e+01 1.245594e+01 1.186536e+01 1.125883e+01  #>         1.68            2         2.39         2.85          3.4         4.06  #> 1.064257e+01 1.002339e+01 9.408524e+00 8.805382e+00 8.221287e+00 7.663203e+00  #>         4.84         5.78          6.9         8.23         9.82         11.7  #> 7.137449e+00 6.649430e+00 6.203383e+00 5.802174e+00 5.447164e+00 5.138144e+00  #>           14         16.7         19.9         23.8         28.4         33.8  #> 4.873209e+00 4.648827e+00 4.458701e+00 4.293528e+00 4.147438e+00 4.025062e+00  #>         40.4         48.2         57.5         68.7         81.9         97.8  #> 3.923228e+00 3.833172e+00 3.745724e+00 3.652449e+00 3.546606e+00 3.423801e+00  #>          117          139          166          198          237          282  #> 3.281837e+00 3.119213e+00 2.937145e+00 2.737836e+00 2.524583e+00 2.301380e+00  #>          337          402          480          573          683          816  #> 2.072726e+00 1.843382e+00 1.618080e+00 1.401232e+00 1.196692e+00 1.007558e+00  #>          973         1160         1390         1650         1970         2360  #> 8.360481e-01 6.835105e-01 5.504124e-01 4.364156e-01 3.406147e-01 2.616301e-01  #>         2810         3350         4000         4780         5700         6800  #> 1.977202e-01 1.469509e-01 1.073462e-01 7.700117e-02 5.416234e-02 3.728088e-02  #>         8120         9690        11600        13800        16500        19600  #> 2.503301e-02 1.632133e-02 1.026069e-02 6.153628e-03 3.461409e-03 1.775429e-03  #>        23400        28000        33400        39900  #> 7.899871e-04 2.759636e-04 5.803739e-05 3.902282e-16  # }"},{"path":"https://sizespectrum.org/mizer/reference/getMeanMaxWeight.html","id":null,"dir":"Reference","previous_headings":"","what":"Calculate the mean maximum weight of the community — getMeanMaxWeight","title":"Calculate the mean maximum weight of the community — getMeanMaxWeight","text":"Calculates mean maximum weight community. can calculated numbers biomass. calculation sum w_max * abundance species, divided total abundance community, abundance either biomass numbers. can specify minimum maximum weight length range species. Lengths take precedence weights (.e. min_l min_w supplied, min_l used). can also specify species used calculation.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getMeanMaxWeight.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Calculate the mean maximum weight of the community — getMeanMaxWeight","text":"","code":"getMeanMaxWeight(sim, species = NULL, measure = \"both\", ...)"},{"path":"https://sizespectrum.org/mizer/reference/getMeanMaxWeight.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Calculate the mean maximum weight of the community — getMeanMaxWeight","text":"sim MizerSim MizerParams object species species selected. Optional. default target species selected. vector species names, numeric vector species indices, logical vector indicating species whether selected (TRUE) . measure measure return. Can 'numbers', 'biomass' '' ... Arguments passed get_size_range_array min_w Smallest weight size range. Defaults smallest weight model. max_w Largest weight size range. Defaults largest weight model. min_l Smallest length size range. supplied, takes precedence min_w. max_l Largest length size range. supplied, takes precedence max_w.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getMeanMaxWeight.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Calculate the mean maximum weight of the community — getMeanMaxWeight","text":"Depends measure argument. measure = “”   get matrix two columns, one values numbers, values biomass saved time step (named vector two entries MizerParams). measure =   “numbers” “biomass” get vector respective values saved time step (single value MizerParams).","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/getMeanMaxWeight.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Calculate the mean maximum weight of the community — getMeanMaxWeight","text":"","code":"mmw <- getMeanMaxWeight(NS_sim) years <- c(\"1967\", \"2010\") mmw[years, ] #>      mmw_numbers mmw_biomass #> 1967    2640.075   10980.365 #> 2010    2716.657    7940.787 getMeanMaxWeight(NS_sim, species=c(\"Herring\",\"Sprat\",\"N.pout\"))[years, ] #>      mmw_numbers mmw_biomass #> 1967    121.2163    226.2291 #> 2010    122.7208    222.6168 getMeanMaxWeight(NS_sim, min_w = 10, max_w = 5000)[years, ] #>      mmw_numbers mmw_biomass #> 1967    1313.207    3444.342 #> 2010    2316.711    6742.697 getMeanMaxWeight(NS_params) #> mmw_numbers mmw_biomass  #>    2335.168    4583.528"},{"path":"https://sizespectrum.org/mizer/reference/getMeanWeight.html","id":null,"dir":"Reference","previous_headings":"","what":"Calculate the mean weight of the community — getMeanWeight","title":"Calculate the mean weight of the community — getMeanWeight","text":"Calculates mean weight community. simply total biomass community divided abundance numbers. can specify minimum maximum weight length range species. Lengths take precedence weights (.e. min_l min_w supplied, min_l used). can also specify species used calculation.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getMeanWeight.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Calculate the mean weight of the community — getMeanWeight","text":"","code":"getMeanWeight(sim, species = NULL, ...)"},{"path":"https://sizespectrum.org/mizer/reference/getMeanWeight.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Calculate the mean weight of the community — getMeanWeight","text":"sim MizerSim MizerParams object species species selected. Optional. default target species selected. vector species names, numeric vector species indices, logical vector indicating species whether selected (TRUE) . ... Arguments passed get_size_range_array min_w Smallest weight size range. Defaults smallest weight model. max_w Largest weight size range. Defaults largest weight model. min_l Smallest length size range. supplied, takes precedence min_w. max_l Largest length size range. supplied, takes precedence max_w.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getMeanWeight.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Calculate the mean weight of the community — getMeanWeight","text":"vector containing mean weight community time, single value called MizerParams object.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/getMeanWeight.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Calculate the mean weight of the community — getMeanWeight","text":"","code":"mean_weight <- getMeanWeight(NS_sim) years <- c(\"1967\", \"2010\") mean_weight[years] #>      1967      2010  #> 0.7959689 0.4835935  getMeanWeight(NS_sim, species = c(\"Herring\", \"Sprat\", \"N.pout\"))[years] #>      1967      2010  #> 0.6750526 0.5773987  getMeanWeight(NS_sim, min_w = 10, max_w = 5000)[years] #>     1967     2010  #> 36.12859 50.54693  getMeanWeight(NS_params) #> [1] 1.174164"},{"path":"https://sizespectrum.org/mizer/reference/getMort.html","id":null,"dir":"Reference","previous_headings":"","what":"Get total mortality rate — getMort","title":"Get total mortality rate — getMort","text":"Calculates total mortality rate \\(\\mu_i(w)\\)  (units 1/year) species size predation mortality, background mortality fishing mortality single time step.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getMort.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get total mortality rate — getMort","text":"","code":"getMort(   params,   n = initialN(params),   n_pp = initialNResource(params),   n_other = initialNOther(params),   effort = getInitialEffort(params),   t = 0,   ... )"},{"path":"https://sizespectrum.org/mizer/reference/getMort.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get total mortality rate — getMort","text":"params MizerParams object n matrix species abundances (species x size). n_pp vector resource abundance size n_other list abundances dynamical components ecosystem effort numeric vector effort gear single numeric effort value used gears. t time calculation (used standard mizer rate functions useful extensions time-dependent parameters.) ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/getMort.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get total mortality rate — getMort","text":"ArraySpeciesBySize object (species x size) total mortality rates.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getMort.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Get total mortality rate — getMort","text":"model contains additional components added setComponent() specified mort_fun function mortality inflicted components included returned value.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getMort.html","id":"your-own-mortality-function","dir":"Reference","previous_headings":"","what":"Your own mortality function","title":"Get total mortality rate — getMort","text":"default getMort() calls mizerMort(). However can replace alternative mortality function. function called \"myMort\" register MizerParams object params   function called instead mizerMort(), arguments.","code":"params <- setRateFunction(params, \"Mort\", \"myMort\")"},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/getMort.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get total mortality rate — getMort","text":"","code":"# \\donttest{ params <- NS_params # Project with constant fishing effort for all gears for 20 time steps sim <- project(params, t_max = 20, effort = 0.5) # Get the total mortality at a particular time step mort <- getMort(params, n = N(sim)[15, , ], n_pp = NResource(sim)[15, ],                  t = 15, effort = 0.5) # Mortality rate at this time for Sprat of size 2g mort[\"Sprat\", \"2\"] #> [1] 1.640475 # }"},{"path":"https://sizespectrum.org/mizer/reference/getN.html","id":null,"dir":"Reference","previous_headings":"","what":"Calculate the number of individuals within a size range — getN","title":"Calculate the number of individuals within a size range — getN","text":"Calculates number individuals within user-defined size limits. default option use whole size range. can specify minimum maximum weight lengths species. Lengths take precedence weights (.e. min_l min_w supplied, min_l used)","code":""},{"path":"https://sizespectrum.org/mizer/reference/getN.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Calculate the number of individuals within a size range — getN","text":"","code":"getN(object, ...)"},{"path":"https://sizespectrum.org/mizer/reference/getN.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Calculate the number of individuals within a size range — getN","text":"object object class MizerParams MizerSim. ... Arguments passed get_size_range_array min_w Smallest weight size range. Defaults smallest weight model. max_w Largest weight size range. Defaults largest weight model. min_l Smallest length size range. supplied, takes precedence min_w. max_l Largest length size range. supplied, takes precedence max_w.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getN.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Calculate the number of individuals within a size range — getN","text":"called MizerParams object, named vector numbers species model. called MizerSim object, ArraySpeciesByTime object (time x species) containing numbers time step species.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/getN.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Calculate the number of individuals within a size range — getN","text":"","code":"numbers <- getN(NS_sim) numbers[\"1972\", \"Herring\"] #> [1] 1.49413e+11 # The above gave a huge number, because that included all the larvae. # The number of Herrings between 10g and 1kg is much smaller. numbers <- getN(NS_sim, min_w = 10, max_w = 1000) numbers[\"1972\", \"Herring\"] #> [1] 4014916500"},{"path":"https://sizespectrum.org/mizer/reference/getParams.html","id":null,"dir":"Reference","previous_headings":"","what":"Extract the parameter object underlying a simulation — getParams","title":"Extract the parameter object underlying a simulation — getParams","text":"Extract parameter object underlying simulation","code":""},{"path":"https://sizespectrum.org/mizer/reference/getParams.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Extract the parameter object underlying a simulation — getParams","text":"","code":"getParams(sim)"},{"path":"https://sizespectrum.org/mizer/reference/getParams.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Extract the parameter object underlying a simulation — getParams","text":"sim MizerSim object","code":""},{"path":"https://sizespectrum.org/mizer/reference/getParams.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Extract the parameter object underlying a simulation — getParams","text":"MizerParams object used run simulation","code":""},{"path":"https://sizespectrum.org/mizer/reference/getParams.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Extract the parameter object underlying a simulation — getParams","text":"","code":"# This will be identical to the params object that was used to create the # simulation sim <- project(NS_params, t_max = 1) identical(getParams(sim), NS_params) #> [1] FALSE"},{"path":"https://sizespectrum.org/mizer/reference/getPhiPrey.html","id":null,"dir":"Reference","previous_headings":"","what":"Get available energy — getPhiPrey","title":"Get available energy — getPhiPrey","text":"deprecated longer used mizer project() method. Calculates amount \\(E_{,}(w)\\) food exposed predator function predator size.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getPhiPrey.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get available energy — getPhiPrey","text":"","code":"getPhiPrey(object, n, n_pp, ...)"},{"path":"https://sizespectrum.org/mizer/reference/getPhiPrey.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get available energy — getPhiPrey","text":"object MizerParams object n matrix species abundances (species x size) n_pp vector background abundance size ... arguments (currently unused)","code":""},{"path":"https://sizespectrum.org/mizer/reference/getPhiPrey.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get available energy — getPhiPrey","text":"two dimensional array (predator species x predator size) equal getEncounter(object, n, n_pp) / getSearchVolume(object).","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/getPhiPrey.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get available energy — getPhiPrey","text":"","code":"# \\donttest{ params <-  NS_params sim <- project(params, t_max = 20, effort = 0.5) n <- sim@n[21,,] n_pp <- sim@n_pp[21,] getPhiPrey(params,n,n_pp) #> Warning: `getPhiPrey()` was deprecated in mizer 2.0.0. #> ℹ Please use `newMultispeciesParams()` instead. #>          w #> sp               0.001      0.00119      0.00142       0.0017      0.00203 #>   Sprat   2.351401e+12 2.296587e+12 2.243044e+12 2.190740e+12 2.139645e+12 #>   Sandeel 7.542075e+12 7.366344e+12 7.194698e+12 7.027041e+12 6.863280e+12 #>   N.pout  1.507852e+12 1.468295e+12 1.429562e+12 1.391632e+12 1.354483e+12 #>   Herring 1.280071e+13 1.250988e+13 1.222455e+13 1.194476e+13 1.167054e+13 #>   Dab     2.677115e+12 2.610901e+12 2.546062e+12 2.482566e+12 2.420385e+12 #>   Whiting 1.507852e+12 1.468298e+12 1.429571e+12 1.391648e+12 1.354509e+12 #>   Sole    2.952370e+12 2.880395e+12 2.809923e+12 2.740921e+12 2.673354e+12 #>   Gurnard 2.674783e+12 2.609164e+12 2.544908e+12 2.481982e+12 2.420359e+12 #>   Plaice  2.074646e+12 2.022596e+12 1.971619e+12 1.921695e+12 1.872802e+12 #>   Haddock 3.463425e+12 3.379590e+12 3.297529e+12 3.217197e+12 3.138554e+12 #>   Cod     1.548712e+12 1.509212e+12 1.470530e+12 1.432651e+12 1.395560e+12 #>   Saithe  1.212534e+12 1.181125e+12 1.150375e+12 1.120270e+12 1.090799e+12 #>          w #> sp             0.00242      0.00289      0.00345      0.00411      0.00491 #>   Sprat   2.089731e+12 2.040966e+12 1.993323e+12 1.946774e+12 1.901290e+12 #>   Sandeel 6.703321e+12 6.547076e+12 6.394455e+12 6.245372e+12 6.099743e+12 #>   N.pout  1.318093e+12 1.282438e+12 1.247495e+12 1.213241e+12 1.179651e+12 #>   Herring 1.140189e+13 1.113879e+13 1.088120e+13 1.062909e+13 1.038238e+13 #>   Dab     2.359489e+12 2.299853e+12 2.241449e+12 2.184250e+12 2.128232e+12 #>   Whiting 1.318132e+12 1.282494e+12 1.247574e+12 1.213348e+12 1.179795e+12 #>   Sole    2.607190e+12 2.542397e+12 2.478946e+12 2.416806e+12 2.355950e+12 #>   Gurnard 2.360008e+12 2.300904e+12 2.243019e+12 2.186327e+12 2.130804e+12 #>   Plaice  1.824921e+12 1.778031e+12 1.732115e+12 1.687152e+12 1.643125e+12 #>   Haddock 3.061559e+12 2.986173e+12 2.912358e+12 2.840079e+12 2.769300e+12 #>   Cod     1.359244e+12 1.323687e+12 1.288874e+12 1.254791e+12 1.221420e+12 #>   Saithe  1.061949e+12 1.033706e+12 1.006057e+12 9.789881e+11 9.524826e+11 #>          w #> sp             0.00586      0.00699      0.00834      0.00995       0.0119 #>   Sprat   1.856845e+12 1.813409e+12 1.770958e+12 1.729463e+12 1.688899e+12 #>   Sandeel 5.957485e+12 5.818516e+12 5.682756e+12 5.550128e+12 5.420555e+12 #>   N.pout  1.146704e+12 1.114376e+12 1.082646e+12 1.051496e+12 1.020909e+12 #>   Herring 1.014103e+13 9.904939e+12 9.674038e+12 9.448234e+12 9.227435e+12 #>   Dab     2.073371e+12 2.019640e+12 1.967018e+12 1.915481e+12 1.865006e+12 #>   Whiting 1.146892e+12 1.114619e+12 1.082956e+12 1.051885e+12 1.021393e+12 #>   Sole    2.296350e+12 2.237979e+12 2.180812e+12 2.124822e+12 2.069985e+12 #>   Gurnard 2.076425e+12 2.023165e+12 1.971001e+12 1.919909e+12 1.869865e+12 #>   Plaice  1.600013e+12 1.557799e+12 1.516463e+12 1.475988e+12 1.436355e+12 #>   Haddock 2.699986e+12 2.632106e+12 2.565627e+12 2.500517e+12 2.436746e+12 #>   Cod     1.188747e+12 1.156753e+12 1.125421e+12 1.094734e+12 1.064672e+12 #>   Saithe  9.265242e+11 9.010950e+11 8.761753e+11 8.517439e+11 8.277784e+11 #>          w #> sp              0.0142       0.0169       0.0202       0.0241       0.0288 #>   Sprat   1.649239e+12 1.610458e+12 1.572530e+12 1.535430e+12 1.499134e+12 #>   Sandeel 5.293961e+12 5.170273e+12 5.049418e+12 4.931326e+12 4.815926e+12 #>   N.pout  9.908698e+11 9.613695e+11 9.324012e+11 9.039634e+11 8.760596e+11 #>   Herring 9.011547e+12 8.800471e+12 8.594108e+12 8.392357e+12 8.195118e+12 #>   Dab     1.815570e+12 1.767154e+12 1.719735e+12 1.673295e+12 1.627815e+12 #>   Whiting 9.914665e+11 9.620976e+11 9.332820e+11 9.050204e+11 8.773183e+11 #>   Sole    2.016275e+12 1.963668e+12 1.912141e+12 1.861668e+12 1.812226e+12 #>   Gurnard 1.820846e+12 1.772827e+12 1.725787e+12 1.679700e+12 1.634544e+12 #>   Plaice  1.397545e+12 1.359542e+12 1.322328e+12 1.285888e+12 1.250207e+12 #>   Haddock 2.374285e+12 2.313103e+12 2.253173e+12 2.194467e+12 2.136957e+12 #>   Cod     1.035216e+12 1.006346e+12 9.780433e+11 9.502885e+11 9.230637e+11 #>   Saithe  8.042553e+11 7.811502e+11 7.584390e+11 7.360984e+11 7.141067e+11 #>          w #> sp              0.0343       0.0409       0.0489       0.0583       0.0696 #>   Sprat   1.463617e+12 1.428857e+12 1.394830e+12 1.361515e+12 1.328890e+12 #>   Sandeel 4.703150e+12 4.592932e+12 4.485205e+12 4.379905e+12 4.276969e+12 #>   N.pout  8.486987e+11 8.218954e+11 7.956700e+11 7.700486e+11 7.450629e+11 #>   Herring 8.002289e+12 7.813771e+12 7.629463e+12 7.449267e+12 7.273087e+12 #>   Dab     1.583279e+12 1.539670e+12 1.496976e+12 1.455186e+12 1.414290e+12 #>   Whiting 8.501867e+11 8.236422e+11 7.977069e+11 7.724084e+11 7.477796e+11 #>   Sole    1.763793e+12 1.716346e+12 1.669862e+12 1.624321e+12 1.579703e+12 #>   Gurnard 1.590295e+12 1.546931e+12 1.504430e+12 1.462770e+12 1.421930e+12 #>   Plaice  1.215273e+12 1.181074e+12 1.147602e+12 1.114853e+12 1.082826e+12 #>   Haddock 2.080617e+12 2.025420e+12 1.971342e+12 1.918358e+12 1.866446e+12 #>   Cod     8.963528e+11 8.701419e+11 8.444204e+11 8.191815e+11 7.944229e+11 #>   Saithe  6.924451e+11 6.710980e+11 6.500546e+11 6.293089e+11 6.088604e+11 #>          w #> sp               0.083       0.0991        0.118        0.141        0.168 #>   Sprat   1.296937e+12 1.265635e+12 1.234968e+12 1.204918e+12 1.175473e+12 #>   Sandeel 4.176334e+12 4.077942e+12 3.981732e+12 3.887647e+12 3.795631e+12 #>   N.pout  7.207495e+11 6.971495e+11 6.743079e+11 6.522726e+11 6.310932e+11 #>   Herring 7.100826e+12 6.932390e+12 6.767687e+12 6.606627e+12 6.449121e+12 #>   Dab     1.374283e+12 1.335163e+12 1.296930e+12 1.259588e+12 1.223145e+12 #>   Whiting 7.238578e+11 7.006846e+11 6.783047e+11 6.567652e+11 6.361146e+11 #>   Sole    1.535987e+12 1.493157e+12 1.451198e+12 1.410094e+12 1.369835e+12 #>   Gurnard 1.381893e+12 1.342640e+12 1.304156e+12 1.266429e+12 1.229449e+12 #>   Plaice  1.051521e+12 1.020948e+12 9.911168e+11 9.620446e+11 9.337531e+11 #>   Haddock 1.815583e+12 1.765748e+12 1.716924e+12 1.669094e+12 1.622241e+12 #>   Cod     7.701476e+11 7.463644e+11 7.230879e+11 7.003391e+11 6.781451e+11 #>   Saithe  5.887145e+11 5.688819e+11 5.493788e+11 5.302263e+11 5.114496e+11 #>          w #> sp               0.201         0.24        0.286        0.342        0.408 #>   Sprat   1.146617e+12 1.118338e+12 1.090626e+12 1.063470e+12 1.036861e+12 #>   Sandeel 3.705628e+12 3.617587e+12 3.531455e+12 3.447181e+12 3.364719e+12 #>   N.pout  6.108202e+11 5.915035e+11 5.731915e+11 5.559294e+11 5.397588e+11 #>   Herring 6.295082e+12 6.144427e+12 5.997072e+12 5.852938e+12 5.711946e+12 #>   Dab     1.187612e+12 1.153006e+12 1.119344e+12 1.086650e+12 1.054949e+12 #>   Whiting 6.164016e+11 5.976740e+11 5.799777e+11 5.633557e+11 5.478472e+11 #>   Sole    1.330412e+12 1.291817e+12 1.254050e+12 1.217108e+12 1.180995e+12 #>   Gurnard 1.193209e+12 1.157704e+12 1.122936e+12 1.088908e+12 1.055627e+12 #>   Plaice  9.062692e+11 8.796243e+11 8.538547e+11 8.290007e+11 8.051058e+11 #>   Haddock 1.576354e+12 1.531424e+12 1.487442e+12 1.444406e+12 1.402313e+12 #>   Cod     6.565386e+11 6.355579e+11 6.152459e+11 5.956493e+11 5.768177e+11 #>   Saithe  4.930772e+11 4.751402e+11 4.576712e+11 4.407036e+11 4.242708e+11 #>          w #> sp               0.486         0.58        0.693        0.827        0.987 #>   Sprat   1.010792e+12 9.852540e+11 9.602399e+11 9.357423e+11 9.117535e+11 #>   Sandeel 3.284020e+12 3.205040e+12 3.127735e+12 3.052062e+12 2.977983e+12 #>   N.pout  5.247160e+11 5.108316e+11 4.981300e+11 4.866288e+11 4.763393e+11 #>   Herring 5.574021e+12 5.439088e+12 5.307076e+12 5.177915e+12 5.051538e+12 #>   Dab     1.024272e+12 9.946487e+11 9.661146e+11 9.387056e+11 9.124589e+11 #>   Whiting 5.334866e+11 5.203034e+11 5.083216e+11 4.975601e+11 4.880328e+11 #>   Sole    1.145719e+12 1.111289e+12 1.077719e+12 1.045025e+12 1.013228e+12 #>   Gurnard 1.023106e+12 9.913603e+11 9.604099e+11 9.302782e+11 9.009922e+11 #>   Plaice  7.822161e+11 7.603797e+11 7.396450e+11 7.200601e+11 7.016715e+11 #>   Haddock 1.361168e+12 1.320975e+12 1.281745e+12 1.243491e+12 1.206230e+12 #>   Cod     5.588027e+11 5.416561e+11 5.254297e+11 5.101735e+11 4.959349e+11 #>   Saithe  4.084053e+11 3.931381e+11 3.784982e+11 3.645120e+11 3.512029e+11 #>          w #> sp                1.18          1.4         1.68            2         2.39 #>   Sprat   8.882657e+11 8.652706e+11 8.427595e+11 8.207235e+11 7.991533e+11 #>   Sandeel 2.905457e+12 2.834448e+12 2.764920e+12 2.696838e+12 2.630169e+12 #>   N.pout  4.672667e+11 4.594108e+11 4.527674e+11 4.473293e+11 4.430888e+11 #>   Herring 4.927879e+12 4.806875e+12 4.688465e+12 4.572590e+12 4.459193e+12 #>   Dab     8.874129e+11 8.636061e+11 8.410772e+11 8.198642e+11 8.000044e+11 #>   Whiting 4.797492e+11 4.727161e+11 4.669382e+11 4.624208e+11 4.591714e+11 #>   Sole    9.823498e+11 9.524156e+11 9.234529e+11 8.954904e+11 8.685587e+11 #>   Gurnard 8.725817e+11 8.450797e+11 8.185210e+11 7.929425e+11 7.683822e+11 #>   Plaice  6.845234e+11 6.686560e+11 6.541051e+11 6.409013e+11 6.290692e+11 #>   Haddock 1.169984e+12 1.134776e+12 1.100635e+12 1.067593e+12 1.035683e+12 #>   Cod     4.827575e+11 4.706808e+11 4.597388e+11 4.499603e+11 4.413681e+11 #>   Saithe  3.385911e+11 3.266932e+11 3.155220e+11 3.050866e+11 2.953922e+11 #>          w #> sp                2.85          3.4         4.06         4.84         5.78 #>   Sprat   7.780400e+11 7.573744e+11 7.371479e+11 7.173522e+11 6.979791e+11 #>   Sandeel 2.564882e+12 2.500946e+12 2.438330e+12 2.377007e+12 2.316947e+12 #>   N.pout  4.400394e+11 4.381804e+11 4.375302e+11 4.381544e+11 4.401573e+11 #>   Herring 4.348220e+12 4.239618e+12 4.133337e+12 4.029330e+12 3.927550e+12 #>   Dab     7.815343e+11 7.644901e+11 7.489124e+11 7.348556e+11 7.223849e+11 #>   Whiting 4.572030e+11 4.565392e+11 4.572349e+11 4.594172e+11 4.632723e+11 #>   Sole    8.426890e+11 8.179131e+11 7.942643e+11 7.717786e+11 7.504947e+11 #>   Gurnard 7.448789e+11 7.224720e+11 7.012017e+11 6.811112e+11 6.622456e+11 #>   Plaice  6.186276e+11 6.095894e+11 6.019644e+11 5.957646e+11 5.910047e+11 #>   Haddock 1.004945e+12 9.754200e+11 9.471535e+11 9.202015e+11 8.946276e+11 #>   Cod     4.339798e+11 4.278078e+11 4.228619e+11 4.191540e+11 4.166994e+11 #>   Saithe  2.864407e+11 2.782303e+11 2.707569e+11 2.640145e+11 2.579962e+11 #>          w #> sp                 6.9         8.23         9.82         11.7           14 #>   Sprat   6.790203e+11 6.604670e+11 6.423092e+11 6.245352e+11 6.071314e+11 #>   Sandeel 2.258123e+12 2.200509e+12 2.144077e+12 2.088801e+12 2.034654e+12 #>   N.pout  4.435682e+11 4.484216e+11 4.547879e+11 4.627602e+11 4.714898e+11 #>   Herring 3.827955e+12 3.730503e+12 3.635155e+12 3.541876e+12 3.450629e+12 #>   Dab     7.115350e+11 7.023392e+11 6.948416e+11 6.890957e+11 6.850002e+11 #>   Whiting 4.688696e+11 4.762837e+11 4.856418e+11 4.971115e+11 5.099884e+11 #>   Sole    7.304438e+11 7.116565e+11 6.941646e+11 6.780019e+11 6.631446e+11 #>   Gurnard 6.446427e+11 6.283394e+11 6.133736e+11 5.997844e+11 5.875512e+11 #>   Plaice  5.876824e+11 5.857940e+11 5.853419e+11 5.863363e+11 5.886962e+11 #>   Haddock 8.704826e+11 8.478184e+11 8.266929e+11 8.071678e+11 7.892205e+11 #>   Cod     4.155072e+11 4.155910e+11 4.169741e+11 4.196937e+11 4.237535e+11 #>   Saithe  2.526939e+11 2.481003e+11 2.442101e+11 2.410215e+11 2.384982e+11 #>          w #> sp                16.7         19.9         23.8         28.4         33.8 #>   Sprat   5.900816e+11 5.733673e+11 5.569677e+11 5.408608e+11 5.250242e+11 #>   Sandeel 1.981612e+12 1.929646e+12 1.878733e+12 1.828844e+12 1.779954e+12 #>   N.pout  4.818908e+11 4.940350e+11 5.079383e+11 5.238708e+11 5.420408e+11 #>   Herring 3.361385e+12 3.274117e+12 3.188795e+12 3.105396e+12 3.023900e+12 #>   Dab     6.828012e+11 6.825358e+11 6.840918e+11 6.874279e+11 6.925608e+11 #>   Whiting 5.254045e+11 5.434339e+11 5.635694e+11 5.856332e+11 6.096342e+11 #>   Sole    6.496875e+11 6.376572e+11 6.270366e+11 6.178271e+11 6.100477e+11 #>   Gurnard 5.767658e+11 5.674610e+11 5.596463e+11 5.533457e+11 5.485907e+11 #>   Plaice  5.925551e+11 5.979323e+11 6.047615e+11 6.130242e+11 6.227448e+11 #>   Haddock 7.729873e+11 7.585265e+11 7.458835e+11 7.351208e+11 7.262972e+11 #>   Cod     4.292679e+11 4.363178e+11 4.449634e+11 4.552986e+11 4.674432e+11 #>   Saithe  2.366638e+11 2.355201e+11 2.350707e+11 2.353228e+11 2.362827e+11 #>          w #> sp                40.4         48.2         57.5         68.7         81.9 #>   Sprat   5.094370e+11 4.940806e+11 4.789413e+11 4.640111e+11 4.492895e+11 #>   Sandeel 1.732038e+12 1.685069e+12 1.639021e+12 1.593869e+12 1.549590e+12 #>   N.pout  5.618677e+11 5.828510e+11 6.051059e+11 6.285856e+11 6.532363e+11 #>   Herring 2.944287e+12 2.866542e+12 2.790655e+12 2.716617e+12 2.644423e+12 #>   Dab     6.994986e+11 7.082426e+11 7.189323e+11 7.316248e+11 7.463635e+11 #>   Whiting 6.353057e+11 6.623647e+11 6.911637e+11 7.217237e+11 7.540611e+11 #>   Sole    6.037191e+11 5.988596e+11 5.955159e+11 5.937171e+11 5.934922e+11 #>   Gurnard 5.453954e+11 5.437727e+11 5.437690e+11 5.454144e+11 5.487378e+11 #>   Plaice  6.339508e+11 6.466693e+11 6.609948e+11 6.769838e+11 6.946868e+11 #>   Haddock 7.194211e+11 7.145042e+11 7.116429e+11 7.109011e+11 7.123369e+11 #>   Cod     4.815106e+11 4.976128e+11 5.158982e+11 5.364802e+11 5.594442e+11 #>   Saithe  2.379432e+11 2.402913e+11 2.433128e+11 2.469831e+11 2.512682e+11 #>          w #> sp                97.8          117          139          166          198 #>   Sprat   4.347834e+11 4.205079e+11 4.064852e+11 3.927441e+11 3.793186e+11 #>   Sandeel 1.506158e+12 1.463552e+12 1.421751e+12 1.380735e+12 1.340487e+12 #>   N.pout  6.792370e+11 7.077025e+11 7.388601e+11 7.705068e+11 8.005095e+11 #>   Herring 2.574074e+12 2.505581e+12 2.438949e+12 2.374169e+12 2.311235e+12 #>   Dab     7.632265e+11 7.824740e+11 8.040962e+11 8.276144e+11 8.525831e+11 #>   Whiting 7.884743e+11 8.264244e+11 8.679749e+11 9.100790e+11 9.499811e+11 #>   Sole    5.948761e+11 5.979465e+11 6.027109e+11 6.090649e+11 6.169093e+11 #>   Gurnard 5.537809e+11 5.606398e+11 5.693511e+11 5.798005e+11 5.918696e+11 #>   Plaice  7.141731e+11 7.356241e+11 7.590464e+11 7.841567e+11 8.106607e+11 #>   Haddock 7.160313e+11 7.221628e+11 7.308121e+11 7.417986e+11 7.549462e+11 #>   Cod     5.848560e+11 6.128133e+11 6.433001e+11 6.760657e+11 7.107888e+11 #>   Saithe  2.561301e+11 2.615420e+11 2.674680e+11 2.738382e+11 2.805818e+11 #>          w #> sp                 237          282          337          402          480 #>   Sprat   3.662464e+11 3.535678e+11 3.413245e+11 3.295580e+11 3.183092e+11 #>   Sandeel 1.300991e+12 1.262237e+12 1.224214e+12 1.186918e+12 1.150344e+12 #>   N.pout  8.282768e+11 8.535252e+11 8.760886e+11 8.957597e+11 9.122098e+11 #>   Herring 2.250160e+12 2.190962e+12 2.133664e+12 2.078292e+12 2.024873e+12 #>   Dab     8.788432e+11 9.062968e+11 9.348293e+11 9.642794e+11 9.944268e+11 #>   Whiting 9.869498e+11 1.020753e+12 1.051268e+12 1.078280e+12 1.101407e+12 #>   Sole    6.262079e+11 6.369342e+11 6.490497e+11 6.624951e+11 6.771856e+11 #>   Gurnard 6.055159e+11 6.207024e+11 6.373796e+11 6.554735e+11 6.748790e+11 #>   Plaice  8.384066e+11 8.672551e+11 8.970341e+11 9.275200e+11 9.584312e+11 #>   Haddock 7.702321e+11 7.876476e+11 8.071832e+11 8.288073e+11 8.524518e+11 #>   Cod     7.471770e+11 7.848967e+11 8.235591e+11 8.627180e+11 9.018726e+11 #>   Saithe  2.876507e+11 2.950024e+11 3.025949e+11 3.103776e+11 3.182817e+11 #>          w #> sp                 573          683          816          973         1160 #>   Sprat   3.076174e+11 2.975195e+11 2.880495e+11 2.792375e+11 2.711097e+11 #>   Sandeel 1.114497e+12 1.079381e+12 1.045008e+12 1.011392e+12 9.785555e+11 #>   N.pout  9.249938e+11 9.336384e+11 9.377331e+11 9.369582e+11 9.311291e+11 #>   Herring 1.973436e+12 1.924013e+12 1.876635e+12 1.831341e+12 1.788167e+12 #>   Dab     1.024991e+12 1.055646e+12 1.086031e+12 1.115760e+12 1.144424e+12 #>   Whiting 1.120097e+12 1.133739e+12 1.141774e+12 1.143722e+12 1.139224e+12 #>   Sole    6.930092e+11 7.098282e+11 7.274803e+11 7.457793e+11 7.645147e+11 #>   Gurnard 6.954563e+11 7.170335e+11 7.394094e+11 7.623533e+11 7.856065e+11 #>   Plaice  9.894268e+11 1.020115e+12 1.050062e+12 1.078798e+12 1.105824e+12 #>   Haddock 8.780089e+11 9.053355e+11 9.342591e+11 9.645770e+11 9.960579e+11 #>   Cod     9.404738e+11 9.779342e+11 1.013638e+12 1.046943e+12 1.077185e+12 #>   Saithe  3.262095e+11 3.340258e+11 3.415512e+11 3.485594e+11 3.547814e+11 #>          w #> sp                1390         1650         1970         2360         2810 #>   Sprat   2.636875e+11 2.569872e+11 2.510193e+11 2.457886e+11 2.412939e+11 #>   Sandeel 9.465232e+11 9.153275e+11 8.850065e+11 8.556053e+11 8.271760e+11 #>   N.pout  9.201641e+11 9.041229e+11 8.831993e+11 8.577460e+11 8.281935e+11 #>   Herring 1.747155e+12 1.708345e+12 1.671780e+12 1.637504e+12 1.605560e+12 #>   Dab     1.171595e+12 1.196842e+12 1.219737e+12 1.239856e+12 1.256773e+12 #>   Whiting 1.128055e+12 1.110180e+12 1.085769e+12 1.055162e+12 1.018789e+12 #>   Sole    7.834528e+11 8.023388e+11 8.208996e+11 8.388453e+11 8.558694e+11 #>   Gurnard 8.088820e+11 8.318686e+11 8.542342e+11 8.756284e+11 8.956841e+11 #>   Plaice  1.130614e+12 1.152634e+12 1.171346e+12 1.186225e+12 1.196757e+12 #>   Haddock 1.028438e+12 1.061425e+12 1.094698e+12 1.127911e+12 1.160687e+12 #>   Cod     1.103681e+12 1.125734e+12 1.142652e+12 1.153761e+12 1.158432e+12 #>   Saithe  3.599109e+11 3.636217e+11 3.655907e+11 3.655312e+11 3.632240e+11 #>          w #> sp                3350         4000         4780         5700         6800 #>   Sprat   2.375283e+11 2.344795e+11 2.321306e+11 2.304612e+11 2.294488e+11 #>   Sandeel 7.997791e+11 7.734838e+11 7.483690e+11 7.245247e+11 7.020525e+11 #>   N.pout  7.951138e+11 7.592039e+11 7.212476e+11 6.820792e+11 6.425488e+11 #>   Herring 1.575991e+12 1.548840e+12 1.524148e+12 1.501953e+12 1.482291e+12 #>   Dab     1.270092e+12 1.279459e+12 1.284564e+12 1.285157e+12 1.281052e+12 #>   Whiting 9.772768e+11 9.314406e+11 8.822384e+11 8.307289e+11 7.780284e+11 #>   Sole    8.716573e+11 8.858926e+11 8.982618e+11 9.084610e+11 9.162028e+11 #>   Gurnard 9.140291e+11 9.302940e+11 9.441203e+11 9.551689e+11 9.631300e+11 #>   Plaice  1.202473e+12 1.202965e+12 1.197900e+12 1.187043e+12 1.170269e+12 #>   Haddock 1.192636e+12 1.223354e+12 1.252434e+12 1.279468e+12 1.304059e+12 #>   Cod     1.156122e+12 1.146421e+12 1.129101e+12 1.104157e+12 1.071843e+12 #>   Saithe  3.585510e+11 3.515231e+11 3.422980e+11 3.311854e+11 3.186363e+11 #>          w #> sp                8120         9690        11600        13800        16500 #>   Sprat   2.290708e+11 2.293064e+11 2.301399e+11 2.315626e+11 2.335766e+11 #>   Sandeel 6.810670e+11 6.616971e+11 6.440867e+11 6.283952e+11 6.147983e+11 #>   N.pout  6.034628e+11 5.655556e+11 5.294583e+11 4.956715e+11 4.645475e+11 #>   Herring 1.465196e+12 1.450694e+12 1.438807e+12 1.429553e+12 1.422939e+12 #>   Dab     1.272134e+12 1.258369e+12 1.239800e+12 1.216556e+12 1.188847e+12 #>   Whiting 7.252457e+11 6.734368e+11 6.235562e+11 5.764122e+11 5.326300e+11 #>   Sole    9.212238e+11 9.232912e+11 9.222107e+11 9.178323e+11 9.100569e+11 #>   Gurnard 9.677320e+11 9.687513e+11 9.660210e+11 9.594390e+11 9.489736e+11 #>   Plaice  1.147583e+12 1.119121e+12 1.085165e+12 1.046134e+12 1.002582e+12 #>   Haddock 1.325821e+12 1.344393e+12 1.359441e+12 1.370674e+12 1.377842e+12 #>   Cod     1.032697e+12 9.875383e+11 9.374543e+11 8.837555e+11 8.279149e+11 #>   Saithe  3.052168e+11 2.915675e+11 2.783542e+11 2.662137e+11 2.557018e+11 #>          w #> sp               19600        23400        28000        33400        39900 #>   Sprat   2.361982e+11 2.394611e+11 2.434196e+11 2.481525e+11 2.537644e+11 #>   Sandeel 6.034877e+11 5.946702e+11 5.885658e+11 5.854055e+11 5.854268e+11 #>   N.pout  4.362816e+11 4.109164e+11 3.883584e+11 3.684096e+11 3.508099e+11 #>   Herring 1.418966e+12 1.417626e+12 1.418900e+12 1.422760e+12 1.429163e+12 #>   Dab     1.156957e+12 1.121247e+12 1.082143e+12 1.040133e+12 9.957591e+11 #>   Whiting 4.926283e+11 4.566134e+11 4.245956e+11 3.964283e+11 3.718669e+11 #>   Sole    8.988406e+11 8.841990e+11 8.662097e+11 8.450138e+11 8.208159e+11 #>   Gurnard 9.346682e+11 9.166434e+11 8.950973e+11 8.703031e+11 8.426049e+11 #>   Plaice  9.551774e+11 9.046900e+11 8.519607e+11 7.978767e+11 7.433407e+11 #>   Haddock 1.380750e+12 1.379261e+12 1.373300e+12 1.362865e+12 1.348021e+12 #>   Cod     7.714905e+11 7.160396e+11 6.630314e+11 6.137684e+11 5.693207e+11 #>   Saithe  2.472494e+11 2.411299e+11 2.374426e+11 2.361103e+11 2.368920e+11 # -> getEncounter(params) / getSearchVolume(params) #>          w #> sp               0.001      0.00119      0.00142       0.0017      0.00203 #>   Sprat   2.351411e+12 2.296597e+12 2.243053e+12 2.190748e+12 2.139650e+12 #>   Sandeel 7.542068e+12 7.366333e+12 7.194680e+12 7.027015e+12 6.863242e+12 #>   N.pout  1.461295e+12 1.420432e+12 1.380615e+12 1.341840e+12 1.304096e+12 #>   Herring 1.279931e+13 1.250827e+13 1.222269e+13 1.194264e+13 1.166813e+13 #>   Dab     2.646976e+12 2.578483e+12 2.511343e+12 2.445543e+12 2.381075e+12 #>   Whiting 1.461295e+12 1.420436e+12 1.380626e+12 1.341861e+12 1.304131e+12 #>   Sole    2.930500e+12 2.856486e+12 2.783898e+12 2.712714e+12 2.642913e+12 #>   Gurnard 2.651205e+12 2.583464e+12 2.517021e+12 2.451858e+12 2.387964e+12 #>   Plaice  2.043473e+12 1.989174e+12 1.935963e+12 1.883841e+12 1.832812e+12 #>   Haddock 3.442482e+12 3.356698e+12 3.272603e+12 3.190165e+12 3.109350e+12 #>   Cod     1.517225e+12 1.475680e+12 1.435022e+12 1.395260e+12 1.356406e+12 #>   Saithe  1.180392e+12 1.147297e+12 1.114987e+12 1.083472e+12 1.052763e+12 #>          w #> sp             0.00242      0.00289      0.00345      0.00411      0.00491 #>   Sprat   2.089730e+12 2.040958e+12 1.993304e+12 1.946738e+12 1.901230e+12 #>   Sandeel 6.703269e+12 6.547005e+12 6.394361e+12 6.245249e+12 6.099584e+12 #>   N.pout  1.267372e+12 1.231648e+12 1.196904e+12 1.163112e+12 1.130243e+12 #>   Herring 1.139915e+13 1.113569e+13 1.087771e+13 1.062516e+13 1.037799e+13 #>   Dab     2.317929e+12 2.256099e+12 2.195582e+12 2.136371e+12 2.078465e+12 #>   Whiting 1.267424e+12 1.231724e+12 1.197009e+12 1.163255e+12 1.130434e+12 #>   Sole    2.574478e+12 2.507394e+12 2.441648e+12 2.377232e+12 2.314137e+12 #>   Gurnard 2.325327e+12 2.263940e+12 2.203796e+12 2.144891e+12 2.087223e+12 #>   Plaice  1.782881e+12 1.734051e+12 1.686329e+12 1.639718e+12 1.594222e+12 #>   Haddock 3.030132e+12 2.952483e+12 2.876382e+12 2.801808e+12 2.728744e+12 #>   Cod     1.318470e+12 1.281460e+12 1.245385e+12 1.210247e+12 1.176047e+12 #>   Saithe  1.022866e+12 9.937864e+11 9.655236e+11 9.380744e+11 9.114307e+11 #>          w #> sp             0.00586      0.00699      0.00834      0.00995       0.0119 #>   Sprat   1.856753e+12 1.813275e+12 1.770768e+12 1.729202e+12 1.688548e+12 #>   Sandeel 5.957280e+12 5.818256e+12 5.682429e+12 5.549718e+12 5.420045e+12 #>   N.pout  1.098265e+12 1.067142e+12 1.036837e+12 1.007313e+12 9.785304e+11 #>   Herring 1.013611e+13 9.899453e+12 9.667932e+12 9.441457e+12 9.219930e+12 #>   Dab     2.021859e+12 1.966549e+12 1.912531e+12 1.859798e+12 1.808344e+12 #>   Whiting 1.098516e+12 1.067466e+12 1.037249e+12 1.007830e+12 9.791740e+11 #>   Sole    2.252357e+12 2.191887e+12 2.132723e+12 2.074861e+12 2.018296e+12 #>   Gurnard 2.030789e+12 1.975588e+12 1.921617e+12 1.868875e+12 1.817358e+12 #>   Plaice  1.549841e+12 1.506577e+12 1.464425e+12 1.423380e+12 1.383435e+12 #>   Haddock 2.657173e+12 2.587081e+12 2.518456e+12 2.451285e+12 2.385559e+12 #>   Cod     1.142785e+12 1.110452e+12 1.079038e+12 1.048530e+12 1.018906e+12 #>   Saithe  8.855797e+11 8.605034e+11 8.361784e+11 8.125759e+11 7.896621e+11 #>          w #> sp              0.0142       0.0169       0.0202       0.0241       0.0288 #>   Sprat   1.648776e+12 1.609856e+12 1.571758e+12 1.534451e+12 1.497905e+12 #>   Sandeel 5.293332e+12 5.169501e+12 5.048477e+12 4.930184e+12 4.814549e+12 #>   N.pout  9.504530e+11 9.230460e+11 8.962776e+11 8.701206e+11 8.445532e+11 #>   Herring 9.003255e+12 8.791332e+12 8.584057e+12 8.381329e+12 8.183046e+12 #>   Dab     1.758160e+12 1.709235e+12 1.661559e+12 1.615116e+12 1.569891e+12 #>   Whiting 9.512454e+11 9.240126e+11 8.974467e+11 8.715235e+11 8.462239e+11 #>   Sole    1.963024e+12 1.909038e+12 1.856333e+12 1.804899e+12 1.754725e+12 #>   Gurnard 1.767061e+12 1.717975e+12 1.670094e+12 1.623403e+12 1.577890e+12 #>   Plaice  1.344578e+12 1.306795e+12 1.270070e+12 1.234384e+12 1.199715e+12 #>   Haddock 2.321267e+12 2.258397e+12 2.196941e+12 2.136885e+12 2.078218e+12 #>   Cod     9.901445e+11 9.622164e+11 9.350908e+11 9.087336e+11 8.831084e+11 #>   Saithe  7.673983e+11 7.457416e+11 7.246465e+11 7.040652e+11 6.839499e+11 #>          w #> sp              0.0343       0.0409       0.0489       0.0583       0.0696 #>   Sprat   1.462090e+12 1.426975e+12 1.392531e+12 1.358727e+12 1.325537e+12 #>   Sandeel 4.701499e+12 4.590962e+12 4.482866e+12 4.377143e+12 4.273722e+12 #>   N.pout  8.195596e+11 7.951309e+11 7.712658e+11 7.479703e+11 7.252584e+11 #>   Herring 7.989104e+12 7.799403e+12 7.613842e+12 7.432323e+12 7.254748e+12 #>   Dab     1.525868e+12 1.483029e+12 1.441354e+12 1.400824e+12 1.361420e+12 #>   Whiting 8.215350e+11 7.974509e+11 7.739725e+11 7.511083e+11 7.288738e+11 #>   Sole    1.705799e+12 1.658107e+12 1.611631e+12 1.566352e+12 1.522250e+12 #>   Gurnard 1.533536e+12 1.490322e+12 1.448226e+12 1.407222e+12 1.367284e+12 #>   Plaice  1.166041e+12 1.133340e+12 1.101586e+12 1.070759e+12 1.040838e+12 #>   Haddock 2.020926e+12 1.964995e+12 1.910409e+12 1.857151e+12 1.805202e+12 #>   Cod     8.581782e+11 8.339058e+11 8.102557e+11 7.871954e+11 7.646965e+11 #>   Saithe  6.642540e+11 6.449341e+11 6.259511e+11 6.072720e+11 5.888712e+11 #>          w #> sp               0.083       0.0991        0.118        0.141        0.168 #>   Sprat   1.292934e+12 1.260894e+12 1.229393e+12 1.198413e+12 1.167936e+12 #>   Sandeel 4.172536e+12 4.073519e+12 3.976606e+12 3.881734e+12 3.788840e+12 #>   N.pout  7.031513e+11 6.816772e+11 6.608707e+11 6.407715e+11 6.214234e+11 #>   Herring 7.081022e+12 6.911053e+12 6.744751e+12 6.582027e+12 6.422795e+12 #>   Dab     1.323123e+12 1.285916e+12 1.249781e+12 1.214705e+12 1.180676e+12 #>   Whiting 7.072917e+11 6.863907e+11 6.662052e+11 6.467737e+11 6.281383e+11 #>   Sole    1.479302e+12 1.437484e+12 1.396771e+12 1.357138e+12 1.318559e+12 #>   Gurnard 1.328383e+12 1.290490e+12 1.253575e+12 1.217607e+12 1.182559e+12 #>   Plaice  1.011803e+12 9.836404e+11 9.563395e+11 9.298945e+11 9.043048e+11 #>   Haddock 1.754541e+12 1.705148e+12 1.657001e+12 1.610076e+12 1.564351e+12 #>   Cod     7.427360e+11 7.212976e+11 7.003725e+11 6.799601e+11 6.600681e+11 #>   Saithe  5.707310e+11 5.528422e+11 5.352042e+11 5.178245e+11 5.007185e+11 #>          w #> sp               0.201         0.24        0.286        0.342        0.408 #>   Sprat   1.137951e+12 1.108448e+12 1.079421e+12 1.050869e+12 1.022793e+12 #>   Sandeel 3.697865e+12 3.608751e+12 3.521443e+12 3.435888e+12 3.352034e+12 #>   N.pout  6.028730e+11 5.851685e+11 5.683577e+11 5.524868e+11 5.375989e+11 #>   Herring 6.266974e+12 6.114483e+12 5.965245e+12 5.819185e+12 5.676231e+12 #>   Dab     1.147686e+12 1.115730e+12 1.084805e+12 1.054913e+12 1.026061e+12 #>   Whiting 6.103427e+11 5.934313e+11 5.774476e+11 5.624329e+11 5.484252e+11 #>   Sole    1.281009e+12 1.244464e+12 1.208902e+12 1.174304e+12 1.140650e+12 #>   Gurnard 1.148403e+12 1.115113e+12 1.082668e+12 1.051048e+12 1.020239e+12 #>   Plaice  8.795759e+11 8.557189e+11 8.327510e+11 8.106946e+11 7.895772e+11 #>   Haddock 1.519803e+12 1.476410e+12 1.434149e+12 1.393002e+12 1.352950e+12 #>   Cod     6.407129e+11 6.219186e+11 6.037171e+11 5.861466e+11 5.692509e+11 #>   Saithe  4.839079e+11 4.674202e+11 4.512870e+11 4.355431e+11 4.202248e+11 #>          w #> sp               0.486         0.58        0.693        0.827        0.987 #>   Sprat   9.952004e+11 9.680989e+11 9.415002e+11 9.154176e+11 8.898659e+11 #>   Sandeel 3.269835e+12 3.189246e+12 3.110226e+12 3.032735e+12 2.956740e+12 #>   N.pout  5.237328e+11 5.109218e+11 4.991927e+11 4.885657e+11 4.790541e+11 #>   Herring 5.536315e+12 5.399371e+12 5.265334e+12 5.134144e+12 5.005744e+12 #>   Dab     9.982569e+11 9.715145e+11 9.458496e+11 9.212815e+11 8.978316e+11 #>   Whiting 5.354583e+11 5.235609e+11 5.127560e+11 5.030612e+11 4.944891e+11 #>   Sole    1.107928e+12 1.076125e+12 1.045234e+12 1.015253e+12 9.861794e+11 #>   Gurnard 9.902308e+11 9.610175e+11 9.325985e+11 9.049782e+11 8.781660e+11 #>   Plaice  7.694305e+11 7.502894e+11 7.321908e+11 7.151726e+11 6.992723e+11 #>   Haddock 1.313976e+12 1.276069e+12 1.239218e+12 1.203417e+12 1.168663e+12 #>   Cod     5.530774e+11 5.376762e+11 5.230983e+11 5.093939e+11 4.966114e+11 #>   Saithe  4.053690e+11 3.910120e+11 3.771886e+11 3.639312e+11 3.512690e+11 #>          w #> sp                1.18          1.4         1.68            2         2.39 #>   Sprat   8.648604e+11 8.404162e+11 8.165474e+11 7.932670e+11 7.705861e+11 #>   Sandeel 2.882208e+12 2.809112e+12 2.737426e+12 2.667130e+12 2.598203e+12 #>   N.pout  4.706644e+11 4.633969e+11 4.572473e+11 4.522074e+11 4.482674e+11 #>   Herring 4.880076e+12 4.757089e+12 4.636731e+12 4.518954e+12 4.403712e+12 #>   Dab     8.755235e+11 8.543821e+11 8.344336e+11 8.157043e+11 7.982209e+11 #>   Whiting 4.870472e+11 4.807399e+11 4.755694e+11 4.715378e+11 4.686496e+11 #>   Sole    9.580188e+11 9.307785e+11 9.044693e+11 8.791052e+11 8.547029e+11 #>   Gurnard 8.521757e+11 8.270259e+11 8.027388e+11 7.793405e+11 7.568597e+11 #>   Plaice  6.845254e+11 6.709646e+11 6.586183e+11 6.475098e+11 6.376564e+11 #>   Haddock 1.134957e+12 1.102305e+12 1.070718e+12 1.040208e+12 1.010795e+12 #>   Cod     4.847956e+11 4.739865e+11 4.642189e+11 4.555211e+11 4.479151e+11 #>   Saithe  3.392279e+11 3.278294e+11 3.170910e+11 3.070257e+11 2.976421e+11 #>          w #> sp                2.85          3.4         4.06         4.84         5.78 #>   Sprat   7.485138e+11 7.270567e+11 7.062193e+11 6.860036e+11 6.664090e+11 #>   Sandeel 2.530632e+12 2.464402e+12 2.399503e+12 2.335926e+12 2.273664e+12 #>   N.pout  4.454181e+11 4.436551e+11 4.429916e+11 4.435017e+11 4.453118e+11 #>   Herring 4.290962e+12 4.180661e+12 4.072770e+12 3.967253e+12 3.864072e+12 #>   Dab     7.820102e+11 7.670991e+11 7.535195e+11 7.413227e+11 7.305772e+11 #>   Whiting 4.669142e+11 4.663520e+11 4.670131e+11 4.690424e+11 4.726658e+11 #>   Sole    8.312812e+11 8.088612e+11 7.874661e+11 7.671245e+11 7.478697e+11 #>   Gurnard 7.353276e+11 7.147772e+11 6.952439e+11 6.767678e+11 6.593935e+11 #>   Plaice  6.290694e+11 6.217539e+11 6.157113e+11 6.109481e+11 6.074755e+11 #>   Haddock 9.825007e+11 9.553532e+11 9.293857e+11 9.046444e+11 8.811874e+11 #>   Cod     4.414163e+11 4.360343e+11 4.317753e+11 4.286481e+11 4.266666e+11 #>   Saithe  2.889446e+11 2.809337e+11 2.736066e+11 2.669588e+11 2.609844e+11 #>          w #> sp                 6.9         8.23         9.82         11.7           14 #>   Sprat   6.474320e+11 6.290660e+11 6.113004e+11 5.941205e+11 5.775062e+11 #>   Sandeel 2.212710e+12 2.153060e+12 2.094708e+12 2.037648e+12 1.981876e+12 #>   N.pout  4.484916e+11 4.531284e+11 4.593704e+11 4.674259e+11 4.766121e+11 #>   Herring 3.763195e+12 3.664591e+12 3.568228e+12 3.474079e+12 3.382116e+12 #>   Dab     7.213281e+11 7.136255e+11 7.075412e+11 7.031723e+11 7.004831e+11 #>   Whiting 4.780215e+11 4.852731e+11 4.946759e+11 5.065830e+11 5.205507e+11 #>   Sole    7.297305e+11 7.127369e+11 6.969241e+11 6.823335e+11 6.689550e+11 #>   Gurnard 6.431606e+11 6.281099e+11 6.142864e+11 6.017406e+11 5.904691e+11 #>   Plaice  6.052925e+11 6.044005e+11 6.048138e+11 6.065654e+11 6.096118e+11 #>   Haddock 8.590644e+11 8.383299e+11 8.190503e+11 8.013038e+11 7.850956e+11 #>   Cod     4.258411e+11 4.261894e+11 4.277454e+11 4.305656e+11 4.346871e+11 #>   Saithe  2.556765e+11 2.510291e+11 2.470394e+11 2.437089e+11 2.410071e+11 #>          w #> sp                16.7         19.9         23.8         28.4         33.8 #>   Sprat   5.614321e+11 5.458669e+11 5.307737e+11 5.161108e+11 5.018333e+11 #>   Sandeel 1.927382e+12 1.874159e+12 1.822196e+12 1.771479e+12 1.721995e+12 #>   N.pout  4.881120e+11 5.023860e+11 5.198802e+11 5.414439e+11 5.680282e+11 #>   Herring 3.292318e+12 3.204664e+12 3.119132e+12 3.035704e+12 2.954363e+12 #>   Dab     6.998584e+11 7.015492e+11 7.056532e+11 7.123267e+11 7.218350e+11 #>   Whiting 5.382433e+11 5.605352e+11 5.876555e+11 6.200826e+11 6.586250e+11 #>   Sole    6.569178e+11 6.463047e+11 6.371542e+11 6.295197e+11 6.234875e+11 #>   Gurnard 5.805965e+11 5.722056e+11 5.653614e+11 5.601518e+11 5.566919e+11 #>   Plaice  6.141721e+11 6.204037e+11 6.283847e+11 6.382426e+11 6.501905e+11 #>   Haddock 7.706089e+11 7.579717e+11 7.473169e+11 7.388211e+11 7.326894e+11 #>   Cod     4.402892e+11 4.475578e+11 4.566862e+11 4.679360e+11 4.816545e+11 #>   Saithe  2.389672e+11 2.376061e+11 2.369487e+11 2.370342e+11 2.379143e+11 #>          w #> sp                40.4         48.2         57.5         68.7         81.9 #>   Sprat   4.878945e+11 4.742494e+11 4.608566e+11 4.476815e+11 4.346985e+11 #>   Sandeel 1.673724e+12 1.626647e+12 1.580740e+12 1.535977e+12 1.492331e+12 #>   N.pout  5.997974e+11 6.313967e+11 6.634961e+11 6.982089e+11 7.353068e+11 #>   Herring 2.875094e+12 2.797862e+12 2.722660e+12 2.649487e+12 2.578339e+12 #>   Dab     7.344681e+11 7.485462e+11 7.645452e+11 7.834527e+11 8.054326e+11 #>   Whiting 7.038372e+11 7.479444e+11 7.922063e+11 8.399299e+11 8.909013e+11 #>   Sole    6.191613e+11 6.162257e+11 6.148288e+11 6.152340e+11 6.175394e+11 #>   Gurnard 5.550945e+11 5.550534e+11 5.567148e+11 5.603452e+11 5.660490e+11 #>   Plaice  6.644866e+11 6.804479e+11 6.984115e+11 7.189749e+11 7.423572e+11 #>   Haddock 7.290876e+11 7.272324e+11 7.273702e+11 7.300150e+11 7.352941e+11 #>   Cod     4.982469e+11 5.175729e+11 5.400832e+11 5.664048e+11 5.969463e+11 #>   Saithe  2.396426e+11 2.422104e+11 2.456730e+11 2.501057e+11 2.555590e+11 #>          w #> sp                97.8          117          139          166          198 #>   Sprat   4.218928e+11 4.092611e+11 3.968118e+11 3.845640e+11 3.725461e+11 #>   Sandeel 1.449772e+12 1.408267e+12 1.367784e+12 1.328289e+12 1.289749e+12 #>   N.pout  7.746584e+11 8.168983e+11 8.603878e+11 9.029173e+11 9.428085e+11 #>   Herring 2.509213e+12 2.442117e+12 2.377043e+12 2.313976e+12 2.252913e+12 #>   Dab     8.306787e+11 8.595563e+11 8.919168e+11 9.273207e+11 9.654858e+11 #>   Whiting 9.450757e+11 1.003435e+12 1.063903e+12 1.122882e+12 1.178019e+12 #>   Sole    6.218547e+11 6.283365e+11 6.370179e+11 6.478624e+11 6.608729e+11 #>   Gurnard 5.739464e+11 5.842129e+11 5.968882e+11 6.119368e+11 6.293554e+11 #>   Plaice  7.687936e+11 7.986207e+11 8.318412e+11 8.682405e+11 9.076348e+11 #>   Haddock 7.433573e+11 7.544467e+11 7.685707e+11 7.856370e+11 8.056243e+11 #>   Cod     6.320979e+11 6.722583e+11 7.175664e+11 7.679187e+11 8.230738e+11 #>   Saithe  2.620794e+11 2.697175e+11 2.784755e+11 2.883157e+11 2.991680e+11 #>          w #> sp                 237          282          337          402          480 #>   Sprat   3.607942e+11 3.493499e+11 3.382583e+11 3.275666e+11 3.173217e+11 #>   Sandeel 1.252130e+12 1.215401e+12 1.179532e+12 1.144494e+12 1.110266e+12 #>   N.pout  9.796362e+11 1.012900e+12 1.041979e+12 1.066160e+12 1.084712e+12 #>   Herring 2.193866e+12 2.136852e+12 2.081886e+12 2.028986e+12 1.978175e+12 #>   Dab     1.006344e+12 1.049778e+12 1.095560e+12 1.143352e+12 1.192706e+12 #>   Whiting 1.228684e+12 1.274282e+12 1.314049e+12 1.347104e+12 1.372550e+12 #>   Sole    6.760999e+11 6.935757e+11 7.132938e+11 7.352033e+11 7.592051e+11 #>   Gurnard 6.491934e+11 6.714676e+11 6.961458e+11 7.231397e+11 7.522995e+11 #>   Plaice  9.499075e+11 9.948489e+11 1.042115e+12 1.091218e+12 1.141535e+12 #>   Haddock 8.286297e+11 8.547128e+11 8.838892e+11 9.161230e+11 9.513230e+11 #>   Cod     8.826528e+11 9.460278e+11 1.012295e+12 1.080278e+12 1.148551e+12 #>   Saithe  3.109309e+11 3.234447e+11 3.364839e+11 3.497529e+11 3.628892e+11 #>          w #> sp                 573          683          816          973         1160 #>   Sprat   3.075696e+11 2.983535e+11 2.897130e+11 2.816830e+11 2.742930e+11 #>   Sandeel 1.076825e+12 1.044158e+12 1.012254e+12 9.811101e+11 9.507288e+11 #>   N.pout  1.096971e+12 1.102413e+12 1.100688e+12 1.091653e+12 1.075401e+12 #>   Herring 1.929476e+12 1.882914e+12 1.838520e+12 1.796326e+12 1.756367e+12 #>   Dab     1.243085e+12 1.293868e+12 1.344361e+12 1.393808e+12 1.441409e+12 #>   Whiting 1.389589e+12 1.397599e+12 1.396176e+12 1.385160e+12 1.364653e+12 #>   Sole    7.851500e+11 8.128355e+11 8.420038e+11 8.723406e+11 9.034763e+11 #>   Gurnard 7.834121e+11 8.161990e+11 8.503144e+11 8.853461e+11 9.208195e+11 #>   Plaice  1.192317e+12 1.242705e+12 1.291747e+12 1.338430e+12 1.381701e+12 #>   Haddock 9.893429e+11 1.029980e+12 1.072974e+12 1.118004e+12 1.164689e+12 #>   Cod     1.215485e+12 1.279308e+12 1.338184e+12 1.390300e+12 1.433953e+12 #>   Saithe  3.754724e+11 3.870409e+11 3.971143e+11 4.052217e+11 4.109342e+11 #>          w #> sp                1390         1650         1970         2360         2810 #>   Sprat   2.675661e+11 2.615190e+11 2.561610e+11 2.514939e+11 2.475125e+11 #>   Sandeel 9.211212e+11 8.923065e+11 8.643135e+11 8.371815e+11 8.109621e+11 #>   N.pout  1.052228e+12 1.022636e+12 9.873112e+11 9.471088e+11 9.029457e+11 #>   Herring 1.718682e+12 1.683310e+12 1.650293e+12 1.619676e+12 1.591501e+12 #>   Dab     1.486337e+12 1.527761e+12 1.564875e+12 1.596904e+12 1.623120e+12 #>   Whiting 1.335014e+12 1.296873e+12 1.251128e+12 1.198833e+12 1.141097e+12 #>   Sole    9.349888e+11 9.664100e+11 9.972330e+11 1.026921e+12 1.054913e+12 #>   Gurnard 9.562027e+11 9.909167e+11 1.024348e+12 1.055860e+12 1.084806e+12 #>   Plaice  1.420508e+12 1.453835e+12 1.480742e+12 1.500393e+12 1.512088e+12 #>   Haddock 1.212589e+12 1.261207e+12 1.309995e+12 1.358363e+12 1.405674e+12 #>   Cod     1.467644e+12 1.490152e+12 1.500606e+12 1.498519e+12 1.483810e+12 #>   Saithe  4.138921e+11 4.138331e+11 4.106146e+11 4.042338e+11 3.948341e+11 #>          w #> sp                3350         4000         4780         5700         6800 #>   Sprat   2.442045e+11 2.415515e+11 2.395299e+11 2.381126e+11 2.372709e+11 #>   Sandeel 7.857206e+11 7.615380e+11 7.385138e+11 7.167686e+11 6.964479e+11 #>   N.pout  8.558425e+11 8.068866e+11 7.571781e+11 7.077836e+11 6.597026e+11 #>   Herring 1.565815e+12 1.542660e+12 1.522082e+12 1.504120e+12 1.488814e+12 #>   Dab     1.642882e+12 1.655656e+12 1.661034e+12 1.658745e+12 1.648667e+12 #>   Whiting 1.079155e+12 1.014336e+12 9.480004e+11 8.814879e+11 8.160784e+11 #>   Sole    1.080647e+12 1.103565e+12 1.123139e+12 1.138878e+12 1.150345e+12 #>   Gurnard 1.110556e+12 1.132511e+12 1.150124e+12 1.162920e+12 1.170512e+12 #>   Plaice  1.515294e+12 1.509671e+12 1.495087e+12 1.471626e+12 1.439583e+12 #>   Haddock 1.451273e+12 1.494494e+12 1.534674e+12 1.571173e+12 1.603381e+12 #>   Cod     1.456810e+12 1.418244e+12 1.369192e+12 1.311038e+12 1.245406e+12 #>   Saithe  3.827061e+11 3.682788e+11 3.521008e+11 3.348143e+11 3.171210e+11 #>          w #> sp                8120         9690        11600        13800        16500 #>   Sprat   2.369764e+11 2.372041e+11 2.379352e+11 2.391600e+11 2.408820e+11 #>   Sandeel 6.777253e+11 6.608078e+11 6.459398e+11 6.334083e+11 6.235484e+11 #>   N.pout  6.138002e+11 5.707876e+11 5.312037e+11 4.954014e+11 4.635453e+11 #>   Herring 1.476200e+12 1.466307e+12 1.459161e+12 1.454778e+12 1.453168e+12 #>   Dab     1.630830e+12 1.605419e+12 1.572761e+12 1.533325e+12 1.487700e+12 #>   Whiting 7.529269e+11 6.930320e+11 6.372060e+11 5.860496e+11 5.399347e+11 #>   Sole    1.157171e+12 1.159069e+12 1.155839e+12 1.147379e+12 1.133688e+12 #>   Gurnard 1.172615e+12 1.169054e+12 1.159777e+12 1.144854e+12 1.124478e+12 #>   Plaice  1.399461e+12 1.351946e+12 1.297894e+12 1.238292e+12 1.174230e+12 #>   Haddock 1.630740e+12 1.652749e+12 1.668985e+12 1.679113e+12 1.682894e+12 #>   Cod     1.174096e+12 1.099006e+12 1.022066e+12 9.451635e+11 8.700828e+11 #>   Saithe  2.997431e+11 2.833815e+11 2.686750e+11 2.561623e+11 2.462513e+11 #>          w #> sp               19600        23400        28000        33400        39900 #>   Sprat   2.431210e+11 2.459176e+11 2.493375e+11 2.534767e+11 2.584665e+11 #>   Sandeel 6.167476e+11 6.134504e+11 6.141616e+11 6.194485e+11 6.299399e+11 #>   N.pout  4.356178e+11 4.114370e+11 3.906852e+11 3.729522e+11 3.577903e+11 #>   Herring 1.454331e+12 1.458257e+12 1.464922e+12 1.474292e+12 1.486318e+12 #>   Dab     1.436576e+12 1.380731e+12 1.321002e+12 1.258274e+12 1.193457e+12 #>   Whiting 4.990002e+11 4.631627e+11 4.321483e+11 4.055474e+11 3.828895e+11 #>   Sole    1.114866e+12 1.091114e+12 1.062726e+12 1.030087e+12 9.936603e+11 #>   Gurnard 1.098961e+12 1.068720e+12 1.034269e+12 9.962018e+11 9.551771e+11 #>   Plaice  1.106863e+12 1.037373e+12 9.669326e+11 8.966738e+11 8.276575e+11 #>   Haddock 1.680191e+12 1.670977e+12 1.655336e+12 1.633460e+12 1.605653e+12 #>   Cod     7.984432e+11 7.316491e+11 6.708506e+11 6.169156e+11 5.704166e+11 #>   Saithe  2.391969e+11 2.350898e+11 2.338548e+11 2.352600e+11 2.389343e+11 # }"},{"path":"https://sizespectrum.org/mizer/reference/getPredMort.html","id":null,"dir":"Reference","previous_headings":"","what":"Get total predation mortality rate — getPredMort","title":"Get total predation mortality rate — getPredMort","text":"Calculates total predation mortality rate \\(\\mu_{p,}(w_p)\\) (units 1/year) prey species prey size: $$\\mu_{p.}(w_p) = \\sum_j {\\tt pred\\_rate}_j(w_p)\\, \\theta_{ji}.$$ predation rate pred_rate returned getPredRate().","code":""},{"path":"https://sizespectrum.org/mizer/reference/getPredMort.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get total predation mortality rate — getPredMort","text":"","code":"getPredMort(object, n, n_pp, n_other, time_range, drop = TRUE, ...)"},{"path":"https://sizespectrum.org/mizer/reference/getPredMort.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get total predation mortality rate — getPredMort","text":"object MizerParams object MizerSim object n matrix species abundances (species x size). n_pp vector resource abundance size n_other list abundances dynamical components ecosystem time_range numeric character vector times. range values matters, saved times min(time_range) max(time_range) selected. drop TRUE dimension length 1 removed returned array. ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/getPredMort.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get total predation mortality rate — getPredMort","text":"MizerParams object passed , returns ArraySpeciesBySize object (prey species x prey size) predation mortality rates. MizerSim object passed , returns three-dimensional array (time step x prey species x prey size) predation mortality every time step. Dimensions may dropped length 1 unless drop = FALSE.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getPredMort.html","id":"your-own-predation-mortality-function","dir":"Reference","previous_headings":"","what":"Your own predation mortality function","title":"Get total predation mortality rate — getPredMort","text":"default getPredMort() calls mizerPredMort(). However can replace alternative predation mortality function. function called \"myPredMort\" register MizerParams object params   function called instead mizerPredMort(), arguments.","code":"params <- setRateFunction(params, \"PredMort\", \"myPredMort\")"},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/getPredMort.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get total predation mortality rate — getPredMort","text":"","code":"# \\donttest{ params <- NS_params # Predation mortality in initial state M2 <- getPredMort(params) str(M2) #>  'ArraySpeciesBySize' num [1:12, 1:100] 3.64 4.43 4.31 4.89 4.8 ... #>  - attr(*, \"dimnames\")=List of 2 #>   ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   ..$ w : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... #>  - attr(*, \"value_name\")= chr \"Predation mortality\" #>  - attr(*, \"units\")= chr \"1/year\" #>  - attr(*, \"params\")=Formal class 'MizerParams' [package \"mizer\"] with 46 slots #>   .. ..@ metadata               : list() #>   .. ..@ mizer_version          :Classes 'package_version', 'numeric_version'  hidden list of 1 #>   .. .. ..$ : int [1:4] 2 5 4 9123 #>   .. ..@ extensions             : chr(0)  #>   .. ..@ time_created           : POSIXct[1:1], format: \"2021-09-03 20:29:38\" #>   .. ..@ time_modified          : POSIXct[1:1], format: \"2026-04-12 11:31:45\" #>   .. ..@ w                      : num [1:100] 0.001 0.00119 0.00142 0.0017 0.00203 ... #>   .. ..@ dw                     : num [1:100] 0.000193 0.000231 0.000275 0.000329 0.000392 ... #>   .. ..@ w_full                 : num [1:226] 2.12e-13 2.53e-13 3.02e-13 3.61e-13 4.30e-13 ... #>   .. ..@ dw_full                : num [1:226] 4.10e-14 4.90e-14 5.84e-14 6.97e-14 8.32e-14 ... #>   .. ..@ w_min_idx              : Named num [1:12] 1 1 1 1 1 1 1 1 1 1 ... #>   .. .. ..- attr(*, \"names\")= chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. ..@ maturity               : num [1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ w : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... #>   .. ..@ psi                    : num [1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ w : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... #>   .. ..@ initial_n              : num [1:12, 1:100] 1.84e+13 6.86e+12 1.44e+14 1.45e+13 1.71e+11 ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ w : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... #>   .. ..@ intake_max             : num [1:12, 1:100] 0.182 0.275 0.328 0.35 0.307 ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ w : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... #>   .. ..@ search_vol             : num [1:12, 1:100] 1.27e-13 6.00e-14 3.44e-13 4.49e-14 1.86e-13 ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ w : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... #>   .. ..@ metab                  : num [1:12, 1:100] 0.0289 0.0437 0.0522 0.0557 0.0487 ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ w : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... #>   .. ..@ pred_kernel            : logi [1(1d)] NA #>   .. ..@ ft_pred_kernel_e       : cplx [1:12, 1:226] 11.3+0i 26.9+0i 20.8+0i ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ k : chr [1:226] \"1\" \"2\" \"3\" \"4\" ... #>   .. ..@ ft_pred_kernel_p       : cplx [1:12, 1:226] 11.3+0i 26.9+0i 20.8+0i ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ k : chr [1:226] \"1\" \"2\" \"3\" \"4\" ... #>   .. ..@ mu_b                   : num [1:12, 1:100] 0.1871 0.1817 0.1293 0.0865 0.0874 ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ w : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... #>   .. ..@ ext_encounter          : num [1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ w : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... #>   .. ..@ ext_diffusion          : num [1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ sp: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ w : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... #>   .. ..@ rr_pp                  : Named num [1:226] 167660 158066 149021 140494 132455 ... #>   .. .. ..- attr(*, \"names\")= chr [1:226] \"2.12e-13\" \"2.53e-13\" \"3.02e-13\" \"3.61e-13\" ... #>   .. ..@ cc_pp                  : Named num [1:226] 1.09e+38 7.46e+37 5.11e+37 3.51e+37 2.41e+37 ... #>   .. .. ..- attr(*, \"names\")= chr [1:226] \"2.12e-13\" \"2.53e-13\" \"3.02e-13\" \"3.61e-13\" ... #>   .. ..@ resource_dynamics      : chr \"resource_semichemostat\" #>   .. ..@ resource_params        :List of 5 #>   .. .. ..$ kappa      : num 1e+11 #>   .. .. ..$ lambda     : num 2.13 #>   .. .. ..$ r_pp       : num 10 #>   .. .. ..$ n          : num 0.667 #>   .. .. ..$ w_pp_cutoff: num 9.82 #>   .. ..@ other_dynamics         : list() #>   .. ..@ other_params           : list() #>   .. ..@ other_encounter        : list() #>   .. ..@ other_mort             : list() #>   .. ..@ rates_funcs            :List of 14 #>   .. .. ..$ Rates          : chr \"mizerRates\" #>   .. .. ..$ Encounter      : chr \"mizerEncounter\" #>   .. .. ..$ FeedingLevel   : chr \"mizerFeedingLevel\" #>   .. .. ..$ EReproAndGrowth: chr \"mizerEReproAndGrowth\" #>   .. .. ..$ PredRate       : chr \"mizerPredRate\" #>   .. .. ..$ PredMort       : chr \"mizerPredMort\" #>   .. .. ..$ FMort          : chr \"mizerFMort\" #>   .. .. ..$ Mort           : chr \"mizerMort\" #>   .. .. ..$ ERepro         : chr \"mizerERepro\" #>   .. .. ..$ EGrowth        : chr \"mizerEGrowth\" #>   .. .. ..$ ResourceMort   : chr \"mizerResourceMort\" #>   .. .. ..$ RDI            : chr \"mizerRDI\" #>   .. .. ..$ RDD            : chr \"BevertonHoltRDD\" #>   .. .. ..$ Diffusion      : chr \"mizerDiffusion\" #>   .. ..@ sc                     : num [1:100] 0.001 0.00119 0.00142 0.0017 0.00203 ... #>   .. ..@ initial_n_pp           : Named num [1:226] 1.09e+38 7.46e+37 5.11e+37 3.51e+37 2.41e+37 ... #>   .. .. ..- attr(*, \"names\")= chr [1:226] \"2.12e-13\" \"2.53e-13\" \"3.02e-13\" \"3.61e-13\" ... #>   .. ..@ initial_n_other        : list() #>   .. ..@ species_params         :'data.frame':\t12 obs. of  34 variables: #>   .. .. ..$ species             : chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. ..$ w_max               : num [1:12] 33 36 100 334 324 ... #>   .. .. ..$ w_mat               : int [1:12] 13 4 23 99 21 75 78 39 105 165 ... #>   .. .. ..$ beta                : int [1:12] 51076 398849 22 280540 191 22 381 283 113 558 ... #>   .. .. ..$ sigma               : num [1:12] 0.8 1.9 1.5 3.2 1.9 1.5 1.9 1.8 1.6 2.1 ... #>   .. .. ..$ k_vb                : num [1:12] 0.681 1 0.849 0.606 0.536 0.323 0.284 0.266 0.122 0.271 ... #>   .. .. ..$ gear                : chr [1:12] \"Industrial\" \"Industrial\" \"Industrial\" \"Pelagic\" ... #>   .. .. ..$ w_min               : num [1:12] 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 ... #>   .. .. ..$ alpha               : num [1:12] 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 ... #>   .. .. ..$ pred_kernel_type    : chr [1:12] \"lognormal\" \"lognormal\" \"lognormal\" \"lognormal\" ... #>   .. .. ..$ h                   : num [1:12] 18.2 27.5 32.8 35 30.7 ... #>   .. .. ..$ k                   : num [1:12] 0 0 0 0 0 0 0 0 0 0 ... #>   .. .. ..$ ks                  : num [1:12] 3.64 5.5 6.57 7.01 6.14 ... #>   .. .. ..$ z0                  : num [1:12] 0.1871 0.1817 0.1293 0.0865 0.0874 ... #>   .. .. ..$ gamma               : num [1:12] 3.20e-11 1.51e-11 8.63e-11 1.13e-11 4.67e-11 ... #>   .. .. ..$ m                   : num [1:12] 1 1 1 1 1 1 1 1 1 1 ... #>   .. .. ..$ erepro              : num [1:12] 1 1 1 1 1 1 1 1 1 1 ... #>   .. .. ..$ R_max               : num [1:12] 7.38e+11 4.10e+11 1.05e+13 1.11e+12 1.12e+10 ... #>   .. .. ..$ sel_func            : chr [1:12] \"knife_edge\" \"knife_edge\" \"knife_edge\" \"knife_edge\" ... #>   .. .. ..$ knife_edge_size     : int [1:12] 13 4 23 99 21 75 78 39 105 165 ... #>   .. .. ..$ catchability        : num [1:12] 1 1 1 1 1 1 1 1 1 1 ... #>   .. .. ..$ p                   : num [1:12] 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 ... #>   .. .. ..$ q                   : num [1:12] 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 ... #>   .. .. ..$ n                   : num [1:12] 0.667 0.667 0.667 0.667 0.667 ... #>   .. .. ..$ f0                  : num [1:12] 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 ... #>   .. .. ..$ interaction_resource: num [1:12] 1 1 1 1 1 1 1 1 1 1 ... #>   .. .. ..$ w_inf               : num [1:12] 33 36 100 334 324 ... #>   .. .. ..$ w_mat25             : num [1:12] 11.65 3.58 20.61 88.7 18.82 ... #>   .. .. ..$ w_repro_max         : num [1:12] 33 36 100 334 324 ... #>   .. .. ..$ is_background       : logi [1:12] FALSE FALSE FALSE FALSE FALSE FALSE ... #>   .. .. ..$ z_ext               : num [1:12] 0 0 0 0 0 0 0 0 0 0 ... #>   .. .. ..$ d                   : num [1:12] -0.333 -0.333 -0.333 -0.333 -0.333 ... #>   .. .. ..$ E_ext               : num [1:12] 0 0 0 0 0 0 0 0 0 0 ... #>   .. .. ..$ D_ext               : num [1:12] 0 0 0 0 0 0 0 0 0 0 ... #>   .. ..@ given_species_params   :'data.frame':\t12 obs. of  27 variables: #>   .. .. ..$ species             : chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. ..$ w_max               : num [1:12] 33 36 100 334 324 ... #>   .. .. ..$ w_mat               : int [1:12] 13 4 23 99 21 75 78 39 105 165 ... #>   .. .. ..$ beta                : int [1:12] 51076 398849 22 280540 191 22 381 283 113 558 ... #>   .. .. ..$ sigma               : num [1:12] 0.8 1.9 1.5 3.2 1.9 1.5 1.9 1.8 1.6 2.1 ... #>   .. .. ..$ k_vb                : num [1:12] 0.681 1 0.849 0.606 0.536 0.323 0.284 0.266 0.122 0.271 ... #>   .. .. ..$ gear                : chr [1:12] \"Industrial\" \"Industrial\" \"Industrial\" \"Pelagic\" ... #>   .. .. ..$ w_min               : num [1:12] 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 ... #>   .. .. ..$ alpha               : num [1:12] 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 ... #>   .. .. ..$ pred_kernel_type    : chr [1:12] \"lognormal\" \"lognormal\" \"lognormal\" \"lognormal\" ... #>   .. .. ..$ h                   : num [1:12] 18.2 27.5 32.8 35 30.7 ... #>   .. .. ..$ k                   : num [1:12] 0 0 0 0 0 0 0 0 0 0 ... #>   .. .. ..$ ks                  : num [1:12] 3.64 5.5 6.57 7.01 6.14 ... #>   .. .. ..$ z0                  : num [1:12] 0.1871 0.1817 0.1293 0.0865 0.0874 ... #>   .. .. ..$ gamma               : num [1:12] 3.20e-11 1.51e-11 8.63e-11 1.13e-11 4.67e-11 ... #>   .. .. ..$ m                   : num [1:12] 1 1 1 1 1 1 1 1 1 1 ... #>   .. .. ..$ erepro              : num [1:12] 1 1 1 1 1 1 1 1 1 1 ... #>   .. .. ..$ R_max               : num [1:12] 7.38e+11 4.10e+11 1.05e+13 1.11e+12 1.12e+10 ... #>   .. .. ..$ sel_func            : chr [1:12] \"knife_edge\" \"knife_edge\" \"knife_edge\" \"knife_edge\" ... #>   .. .. ..$ knife_edge_size     : int [1:12] 13 4 23 99 21 75 78 39 105 165 ... #>   .. .. ..$ catchability        : num [1:12] 1 1 1 1 1 1 1 1 1 1 ... #>   .. .. ..$ p                   : num [1:12] 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 ... #>   .. .. ..$ q                   : num [1:12] 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 ... #>   .. .. ..$ n                   : num [1:12] 0.667 0.667 0.667 0.667 0.667 ... #>   .. .. ..$ f0                  : num [1:12] 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 ... #>   .. .. ..$ interaction_resource: num [1:12] 1 1 1 1 1 1 1 1 1 1 ... #>   .. .. ..$ w_inf               : num [1:12] 33 36 100 334 324 ... #>   .. ..@ interaction            : num [1:12, 1:12] 0.7291 0.0341 0.0635 0.2742 0.3624 ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ predator: chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ prey    : chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. ..@ gear_params            :'data.frame':\t12 obs. of  5 variables: #>   .. .. ..$ gear           : chr [1:12] \"Industrial\" \"Industrial\" \"Industrial\" \"Pelagic\" ... #>   .. .. ..$ species        : chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. ..$ sel_func       : chr [1:12] \"knife_edge\" \"knife_edge\" \"knife_edge\" \"knife_edge\" ... #>   .. .. ..$ knife_edge_size: int [1:12] 13 4 23 99 21 75 78 39 105 165 ... #>   .. .. ..$ catchability   : num [1:12] 1 1 1 1 1 1 1 1 1 1 ... #>   .. ..@ selectivity            : num [1:4, 1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ... #>   .. .. ..- attr(*, \"dimnames\")=List of 3 #>   .. .. .. ..$ gear: chr [1:4] \"Industrial\" \"Pelagic\" \"Beam\" \"Otter\" #>   .. .. .. ..$ sp  : chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. .. .. ..$ w   : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... #>   .. ..@ catchability           : num [1:4, 1:12] 1 0 0 0 1 0 0 0 1 0 ... #>   .. .. ..- attr(*, \"dimnames\")=List of 2 #>   .. .. .. ..$ gear: chr [1:4] \"Industrial\" \"Pelagic\" \"Beam\" \"Otter\" #>   .. .. .. ..$ sp  : chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. ..@ initial_effort         : Named num [1:4] 0 1 0.5 0.5 #>   .. .. ..- attr(*, \"names\")= chr [1:4] \"Industrial\" \"Pelagic\" \"Beam\" \"Otter\" #>   .. ..@ A                      : num [1:12] 1 1 1 1 1 1 1 1 1 1 ... #>   .. ..@ linecolour             : Named chr [1:17] \"#815f00\" \"#6237e2\" \"#8da600\" \"#de53ff\" ... #>   .. .. ..- attr(*, \"names\")= chr [1:17] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. ..@ linetype               : Named chr [1:16] \"solid\" \"solid\" \"solid\" \"solid\" ... #>   .. .. ..- attr(*, \"names\")= chr [1:16] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   .. ..@ ft_mask                : logi [1:12, 1:226] TRUE TRUE TRUE TRUE TRUE TRUE ... #>   .. ..@ use_predation_diffusion: logi FALSE # With constant fishing effort for all gears for 20 time steps sim <- project(params, t_max = 20, effort = 0.5) # Get predation mortality at one time step M2 <- getPredMort(params, n = N(sim)[15, , ], n_pp = NResource(sim)[15, ]) # Get predation mortality at all saved time steps M2 <- getPredMort(sim) str(M2) #>  num [1:21, 1:12, 1:100] 3.64 3.42 3.29 3.2 3.16 ... #>  - attr(*, \"dimnames\")=List of 3 #>   ..$ time: chr [1:21] \"0\" \"1\" \"2\" \"3\" ... #>   ..$ sp  : chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   ..$ w   : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... # Get predation mortality over the years 15 - 20 M2 <- getPredMort(sim, time_range = c(15, 20)) # }"},{"path":"https://sizespectrum.org/mizer/reference/getPredRate.html","id":null,"dir":"Reference","previous_headings":"","what":"Get predation rate — getPredRate","title":"Get predation rate — getPredRate","text":"Calculates potential rate (units 1/year) prey individual given size \\(w\\) killed predators species \\(j\\). formulas $${\\tt pred\\_rate}_j(w_p) = \\int \\phi_j(w,w_p) (1-f_j(w))   \\gamma_j(w) N_j(w) \\, dw.$$ potential rate used getPredMort() calculate realised predation mortality rate prey individual.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getPredRate.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get predation rate — getPredRate","text":"","code":"getPredRate(   params,   n = initialN(params),   n_pp = initialNResource(params),   n_other = initialNOther(params),   t = 0,   ... )"},{"path":"https://sizespectrum.org/mizer/reference/getPredRate.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get predation rate — getPredRate","text":"params MizerParams object n matrix species abundances (species x size). n_pp vector resource abundance size n_other list abundances dynamical components ecosystem t time calculation (used standard mizer rate functions useful extensions time-dependent parameters.) ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/getPredRate.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get predation rate — getPredRate","text":"two dimensional array (predator species x prey size), prey size runs fish community plus resource spectrum.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getPredRate.html","id":"your-own-predation-rate-function","dir":"Reference","previous_headings":"","what":"Your own predation rate function","title":"Get predation rate — getPredRate","text":"default getPredRate() calls mizerPredRate(). However can replace alternative predation rate function. function called \"myPredRate\" register MizerParams object params   function called instead mizerPredRate(), arguments.","code":"params <- setRateFunction(params, \"PredRate\", \"myPredRate\")"},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/getPredRate.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get predation rate — getPredRate","text":"","code":"# \\donttest{ params <- NS_params # Predation rate in initial state pred_rate <- getPredRate(params) str(pred_rate) #>  num [1:12, 1:226] 8.35e-17 6.05e-10 9.75e-16 1.19e-05 1.04e-17 ... #>  - attr(*, \"dimnames\")=List of 2 #>   ..$ sp    : chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   ..$ w_prey: chr [1:226] \"2.12e-13\" \"2.53e-13\" \"3.02e-13\" \"3.61e-13\" ... # With constant fishing effort for all gears for 20 time steps sim <- project(params, t_max = 20, effort = 0.5) # Get the feeding level at one time step pred_rate <- getPredRate(params, n = N(sim)[15, , ],                           n_pp = NResource(sim)[15, ], t = 15) # }"},{"path":"https://sizespectrum.org/mizer/reference/getProportionOfLargeFish.html","id":null,"dir":"Reference","previous_headings":"","what":"Calculate the proportion of large fish — getProportionOfLargeFish","title":"Calculate the proportion of large fish — getProportionOfLargeFish","text":"Calculates proportion large fish MizerSim MizerParams object within user defined size limits. default option use whole size range. can specify minimum maximum size ranges species also threshold size large fish. Sizes can expressed weight length. Lengths take precedence weights (.e. min_l min_w supplied, min_l used, threshold_l supplied takes precedence threshold_w). can also specify species used calculation. function can used calculate Large Fish Index. proportion based either abundance biomass.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getProportionOfLargeFish.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Calculate the proportion of large fish — getProportionOfLargeFish","text":"","code":"getProportionOfLargeFish(   sim,   species = NULL,   threshold_w = 100,   threshold_l = NULL,   biomass_proportion = TRUE,   ... )"},{"path":"https://sizespectrum.org/mizer/reference/getProportionOfLargeFish.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Calculate the proportion of large fish — getProportionOfLargeFish","text":"sim MizerSim MizerParams object species species selected. Optional. default target species selected. vector species names, numeric vector species indices, logical vector indicating species whether selected (TRUE) . threshold_w weight used cutoff large small fish. Default value 100. threshold_l length used cutoff large small fish. supplied, takes precedence threshold_w. biomass_proportion boolean value. TRUE proportion calculated based biomass, FALSE based numbers individuals. Default TRUE. ... Arguments passed get_size_range_array min_w Smallest weight size range. Defaults smallest weight model. max_w Largest weight size range. Defaults largest weight model. min_l Smallest length size range. supplied, takes precedence min_w. max_l Largest length size range. supplied, takes precedence max_w.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getProportionOfLargeFish.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Calculate the proportion of large fish — getProportionOfLargeFish","text":"vector containing proportion large fish time, single value called MizerParams object.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/getProportionOfLargeFish.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Calculate the proportion of large fish — getProportionOfLargeFish","text":"","code":"lfi <- getProportionOfLargeFish(NS_sim, min_w = 10, max_w = 5000,                                 threshold_w = 500) years <- c(\"1972\", \"2010\") lfi[years] #>      1972      2010  #> 0.1425938 0.2573979  getProportionOfLargeFish(NS_sim)[years] #>      1972      2010  #> 0.3115163 0.4441647  getProportionOfLargeFish(NS_sim, species=c(\"Herring\",\"Sprat\",\"N.pout\"))[years] #>       1972       2010  #> 0.06371869 0.21844009  getProportionOfLargeFish(NS_sim, min_w = 10, max_w = 5000)[years] #>      1972      2010  #> 0.3474937 0.5662073  getProportionOfLargeFish(NS_sim, min_w = 10, max_w = 5000,     threshold_w = 500, biomass_proportion = FALSE)[years] #>       1972       2010  #> 0.00441820 0.01212436  getProportionOfLargeFish(NS_params) #> [1] 2.312485e-07"},{"path":"https://sizespectrum.org/mizer/reference/getRDD.html","id":null,"dir":"Reference","previous_headings":"","what":"Get density dependent reproduction rate — getRDD","title":"Get density dependent reproduction rate — getRDD","text":"Calculates density dependent rate egg production \\(R_i\\) (units 1/year) species. flux entering smallest size class species. density dependent rate density independent rate obtained getRDI() put density dependence function. Beverton-Holt function BevertonHoltRDD() default, can changed. See setReproduction() details.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getRDD.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get density dependent reproduction rate — getRDD","text":"","code":"getRDD(   params,   n = initialN(params),   n_pp = initialNResource(params),   n_other = initialNOther(params),   t = 0,   rdi = getRDI(params, n = n, n_pp = n_pp, n_other = n_other, t = t),   ... )"},{"path":"https://sizespectrum.org/mizer/reference/getRDD.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get density dependent reproduction rate — getRDD","text":"params MizerParams object n matrix species abundances (species x size). n_pp vector resource abundance size n_other list abundances dynamical components ecosystem t time calculation (used standard mizer rate functions useful extensions time-dependent parameters.) rdi vector density-independent reproduction rates species. specified, rdi calculated internally using getRDI(). ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/getRDD.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get density dependent reproduction rate — getRDD","text":"numeric vector length number species.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/getRDD.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get density dependent reproduction rate — getRDD","text":"","code":"# \\donttest{ params <- NS_params # Project with constant fishing effort for all gears for 20 time steps sim <- project(params, t_max = 20, effort = 0.5) # Get the rate at a particular time step getRDD(params, n = N(sim)[15, , ], n_pp = NResource(sim)[15, ], t = 15) #>        Sprat      Sandeel       N.pout      Herring          Dab      Whiting  #> 7.273519e+11 4.098406e+11 9.405199e+12 1.103948e+12 1.115039e+10 5.394960e+11  #>         Sole      Gurnard       Plaice      Haddock          Cod       Saithe  #> 3.855063e+10 7.536194e+11 2.654321e+13 1.733106e+12 8.259403e+09 1.117118e+11  # }"},{"path":"https://sizespectrum.org/mizer/reference/getRDI.html","id":null,"dir":"Reference","previous_headings":"","what":"Get density independent rate of egg production — getRDI","title":"Get density independent rate of egg production — getRDI","text":"Calculates density-independent rate total egg production \\(R_{di}\\) (units 1/year) density dependence, species.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getRDI.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get density independent rate of egg production — getRDI","text":"","code":"getRDI(   params,   n = initialN(params),   n_pp = initialNResource(params),   n_other = initialNOther(params),   t = 0,   ... )"},{"path":"https://sizespectrum.org/mizer/reference/getRDI.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get density independent rate of egg production — getRDI","text":"params MizerParams object n matrix species abundances (species x size). n_pp vector resource abundance size n_other list abundances dynamical components ecosystem t time calculation (used standard mizer rate functions useful extensions time-dependent parameters.) ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/getRDI.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get density independent rate of egg production — getRDI","text":"numeric vector length number species.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getRDI.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Get density independent rate of egg production — getRDI","text":"rate obtained taking per capita rate \\(E_r(w)\\psi(w)\\) energy invested reproduction, calculated getERepro(), multiplying number individuals\\(N(w)\\) integrating sizes \\(w\\) multiplying reproductive efficiency \\(\\epsilon\\) dividing egg size w_min, factor two account two sexes: $$R_{di} = \\frac{\\epsilon}{2 w_{min}} \\int N(w)  E_r(w) \\psi(w) \\, dw$$ Used getRDD() calculate actual, density dependent rate. See setReproduction() details.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getRDI.html","id":"your-own-reproduction-function","dir":"Reference","previous_headings":"","what":"Your own reproduction function","title":"Get density independent rate of egg production — getRDI","text":"default getRDI() calls mizerRDI(). However can replace alternative reproduction function. function called \"myRDI\" register MizerParams object params   function called instead mizerRDI(), arguments. example alternative reproduction function see constantEggRDI().","code":"params <- setRateFunction(params, \"RDI\", \"myRDI\")"},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/getRDI.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get density independent rate of egg production — getRDI","text":"","code":"# \\donttest{ params <- NS_params # Project with constant fishing effort for all gears for 20 time steps sim <- project(params, t_max = 20, effort = 0.5) # Get the density-independent reproduction rate at a particular time step getRDI(params, n = N(sim)[15, , ], n_pp = NResource(sim)[15, ], t = 15) #>        Sprat      Sandeel       N.pout      Herring          Dab      Whiting  #> 5.041129e+13 1.053968e+15 9.020326e+13 2.024648e+14 2.517323e+12 3.476507e+13  #>         Sole      Gurnard       Plaice      Haddock          Cod       Saithe  #> 9.988220e+12 1.387214e+12 2.839019e+13 2.983237e+13 1.143392e+14 4.340615e+13  # }"},{"path":"https://sizespectrum.org/mizer/reference/getRates.html","id":null,"dir":"Reference","previous_headings":"","what":"Get all rates — getRates","title":"Get all rates — getRates","text":"Calls rate functions sequence collects results list. projectRates() S3 generic used extension-aware projections calculate rates. Models without extensions keep using mizerRates() directly. base method mirrors mizerRates() calls migrated projection hooks directly, starting projectEncounter().","code":""},{"path":"https://sizespectrum.org/mizer/reference/getRates.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get all rates — getRates","text":"","code":"getRates(   params,   n = initialN(params),   n_pp = initialNResource(params),   n_other = initialNOther(params),   effort,   t = 0,   ... )"},{"path":"https://sizespectrum.org/mizer/reference/getRates.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get all rates — getRates","text":"params MizerParams object n matrix species abundances (species x size). n_pp vector resource abundance size n_other list abundances dynamical components ecosystem effort effort fishing gear t time calculation (used standard mizer rate functions useful extensions time-dependent parameters.) ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/getRates.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get all rates — getRates","text":"List rates.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getRates.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Get all rates — getRates","text":"default function returns list following components: encounter mizerEncounter() feeding_level mizerFeedingLevel() e mizerEReproAndGrowth() e_repro mizerERepro() e_growth mizerEGrowth() pred_rate mizerPredRate() pred_mort mizerPredMort() f_mort mizerFMort() mort mizerMort() rdi mizerRDI() rdd BevertonHoltRDD() resource_mort mizerResourceMort() However can replace rate functions rate function wish, see setRateFunction() details.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/getRates.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get all rates — getRates","text":"","code":"rates <- getRates(NS_params) names(rates) #>  [1] \"encounter\"     \"feeding_level\" \"e\"             \"e_repro\"       #>  [5] \"e_growth\"      \"diffusion\"     \"pred_rate\"     \"pred_mort\"     #>  [9] \"f_mort\"        \"mort\"          \"rdi\"           \"rdd\"           #> [13] \"resource_mort\" identical(rates$encounter, getEncounter(NS_params)) #> [1] FALSE"},{"path":"https://sizespectrum.org/mizer/reference/getRegisteredExtensions.html","id":null,"dir":"Reference","previous_headings":"","what":"Get the registered mizer extension chain — getRegisteredExtensions","title":"Get the registered mizer extension chain — getRegisteredExtensions","text":"Get registered mizer extension chain","code":""},{"path":"https://sizespectrum.org/mizer/reference/getRegisteredExtensions.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get the registered mizer extension chain — getRegisteredExtensions","text":"","code":"getRegisteredExtensions()"},{"path":"https://sizespectrum.org/mizer/reference/getRegisteredExtensions.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get the registered mizer extension chain — getRegisteredExtensions","text":"named character vector giving maximal extension chain registered R session.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/getReproductionLevel.html","id":null,"dir":"Reference","previous_headings":"","what":"Get reproduction level — getReproductionLevel","title":"Get reproduction level — getReproductionLevel","text":"reproduction level ratio density-dependent reproduction rate maximal reproduction rate.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getReproductionLevel.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get reproduction level — getReproductionLevel","text":"","code":"getReproductionLevel(params)"},{"path":"https://sizespectrum.org/mizer/reference/getReproductionLevel.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get reproduction level — getReproductionLevel","text":"params MizerParams object","code":""},{"path":"https://sizespectrum.org/mizer/reference/getReproductionLevel.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get reproduction level — getReproductionLevel","text":"named vector reproduction level species.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getReproductionLevel.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get reproduction level — getReproductionLevel","text":"","code":"getReproductionLevel(NS_params) #>      Sprat    Sandeel     N.pout    Herring        Dab    Whiting       Sole  #> 0.99074238 0.99987053 0.92829319 0.99198802 0.99578514 0.98718674 0.99643774  #>    Gurnard     Plaice    Haddock        Cod     Saithe  #> 0.44189813 0.08022106 0.94443443 0.99993658 0.99767830   # The reproduction level can be changed without changing the steady state: params <- setBevertonHolt(NS_params, reproduction_level = 0.9) #> Warning: The following species require an unrealistic value greater than 1 for `erepro`: Gurnard, Plaice getReproductionLevel(params) #>   Sprat Sandeel  N.pout Herring     Dab Whiting    Sole Gurnard  Plaice Haddock  #>     0.9     0.9     0.9     0.9     0.9     0.9     0.9     0.9     0.9     0.9  #>     Cod  Saithe  #>     0.9     0.9   # The result is the ratio of RDD and R_max identical(getRDD(params) / species_params(params)$R_max,           getReproductionLevel(params)) #> [1] TRUE"},{"path":"https://sizespectrum.org/mizer/reference/getRequiredRDD.html","id":null,"dir":"Reference","previous_headings":"","what":"Determine reproduction rate needed for initial egg abundance — getRequiredRDD","title":"Determine reproduction rate needed for initial egg abundance — getRequiredRDD","text":"Determine reproduction rate needed initial egg abundance","code":""},{"path":"https://sizespectrum.org/mizer/reference/getRequiredRDD.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Determine reproduction rate needed for initial egg abundance — getRequiredRDD","text":"","code":"getRequiredRDD(params)"},{"path":"https://sizespectrum.org/mizer/reference/getRequiredRDD.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Determine reproduction rate needed for initial egg abundance — getRequiredRDD","text":"params MizerParams object","code":""},{"path":"https://sizespectrum.org/mizer/reference/getRequiredRDD.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Determine reproduction rate needed for initial egg abundance — getRequiredRDD","text":"vector reproduction rates species","code":""},{"path":"https://sizespectrum.org/mizer/reference/getResourceDynamics.html","id":null,"dir":"Reference","previous_headings":"","what":"Deprecated functions for getting resource parameters — getResourceDynamics","title":"Deprecated functions for getting resource parameters — getResourceDynamics","text":"Use resource_dynamics(), resource_level(), resource_rate() resource_capacity() instead.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getResourceDynamics.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Deprecated functions for getting resource parameters — getResourceDynamics","text":"","code":"getResourceDynamics(params)  getResourceLevel(params)  getResourceRate(params)  getResourceCapacity(params)"},{"path":"https://sizespectrum.org/mizer/reference/getResourceDynamics.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Deprecated functions for getting resource parameters — getResourceDynamics","text":"params MizerParams object","code":""},{"path":"https://sizespectrum.org/mizer/reference/getResourceDynamics.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Deprecated functions for getting resource parameters — getResourceDynamics","text":"Name function determines resource dynamics","code":""},{"path":"https://sizespectrum.org/mizer/reference/getResourceMort.html","id":null,"dir":"Reference","previous_headings":"","what":"Get predation mortality rate for resource — getResourceMort","title":"Get predation mortality rate for resource — getResourceMort","text":"Calculates predation mortality rate \\(\\mu_p(w)\\) resource spectrum resource size (units 1/year).","code":""},{"path":"https://sizespectrum.org/mizer/reference/getResourceMort.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get predation mortality rate for resource — getResourceMort","text":"","code":"getResourceMort(   params,   n = initialN(params),   n_pp = initialNResource(params),   n_other = initialNOther(params),   t = 0,   ... )"},{"path":"https://sizespectrum.org/mizer/reference/getResourceMort.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get predation mortality rate for resource — getResourceMort","text":"params MizerParams object n matrix species abundances (species x size). n_pp vector resource abundance size n_other list abundances dynamical components ecosystem t time calculation (used standard mizer rate functions useful extensions time-dependent parameters.) ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/getResourceMort.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get predation mortality rate for resource — getResourceMort","text":"vector mortality rate resource size.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getResourceMort.html","id":"your-own-resource-mortality-function","dir":"Reference","previous_headings":"","what":"Your own resource mortality function","title":"Get predation mortality rate for resource — getResourceMort","text":"default getResourceMort() calls mizerResourceMort(). However can replace alternative resource mortality function. function called \"myResourceMort\" register MizerParams object params   function called instead mizerResourceMort(), arguments.","code":"params <- setRateFunction(params, \"ResourceMort\", \"myResourceMort\")"},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/getResourceMort.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get predation mortality rate for resource — getResourceMort","text":"","code":"# \\donttest{ params <- NS_params # With constant fishing effort for all gears for 20 time steps sim <- project(params, t_max = 20, effort = 0.5) # Get resource mortality at one time step getResourceMort(params, n = N(sim)[15, , ], n_pp = NResource(sim)[15, ]) #>     2.12e-13     2.53e-13     3.02e-13     3.61e-13      4.3e-13     5.14e-13  #> 1.191600e-05 1.465460e-05 1.798292e-05 2.201903e-05 2.690274e-05 3.279930e-05  #>     6.13e-13     7.31e-13     8.73e-13     1.04e-12     1.24e-12     1.48e-12  #> 3.990356e-05 4.844483e-05 5.869238e-05 7.096180e-05 8.562223e-05 1.031046e-04  #>     1.77e-12     2.11e-12     2.52e-12     3.01e-12     3.59e-12     4.28e-12  #> 1.239110e-04 1.486254e-04 1.779260e-04 2.125986e-04 2.535523e-04 3.018375e-04  #>     5.11e-12      6.1e-12     7.28e-12     8.69e-12     1.04e-11     1.24e-11  #> 3.586655e-04 4.254310e-04 5.037376e-04 5.954260e-04 7.026065e-04 8.276945e-04  #>     1.48e-11     1.76e-11      2.1e-11     2.51e-11     2.99e-11     3.57e-11  #> 9.734509e-04 1.143027e-03 1.340016e-03 1.568506e-03 1.833146e-03 2.139215e-03  #>     4.26e-11     5.09e-11     6.07e-11     7.25e-11     8.65e-11     1.03e-10  #> 2.492696e-03 2.900367e-03 3.369892e-03 3.909929e-03 4.530249e-03 5.241863e-03  #>     1.23e-10     1.47e-10     1.75e-10     2.09e-10      2.5e-10     2.98e-10  #> 6.057169e-03 6.990113e-03 8.056368e-03 9.273534e-03 1.066136e-02 1.224199e-02  #>     3.56e-10     4.25e-10     5.07e-10     6.05e-10     7.21e-10     8.61e-10  #> 1.404025e-02 1.608396e-02 1.840426e-02 2.103607e-02 2.401848e-02 2.739529e-02  #>     1.03e-09     1.23e-09     1.46e-09     1.75e-09     2.08e-09     2.49e-09  #> 3.121561e-02 3.553457e-02 4.041409e-02 4.592387e-02 5.214254e-02 5.915897e-02  #>     2.97e-09     3.54e-09     4.23e-09     5.04e-09     6.02e-09     7.18e-09  #> 6.707381e-02 7.600133e-02 8.607129e-02 9.743112e-02 1.102481e-01 1.247118e-01  #>     8.57e-09     1.02e-08     1.22e-08     1.46e-08     1.74e-08     2.07e-08  #> 1.410363e-01 1.594636e-01 1.802665e-01 2.037529e-01 2.302707e-01 2.602140e-01  #>     2.48e-08     2.95e-08     3.53e-08     4.21e-08     5.02e-08     5.99e-08  #> 2.940298e-01 3.322254e-01 3.753760e-01 4.241321e-01 4.792265e-01 5.414796e-01  #>     7.15e-08     8.53e-08     1.02e-07     1.22e-07     1.45e-07     1.73e-07  #> 6.118044e-01 6.912085e-01 7.807945e-01 8.817570e-01 9.953761e-01 1.123005e+00  #>     2.07e-07     2.46e-07     2.94e-07     3.51e-07     4.19e-07        5e-07  #> 1.266056e+00 1.425971e+00 1.604200e+00 1.802155e+00 2.021173e+00 2.262461e+00  #>     5.96e-07     7.12e-07     8.49e-07     1.01e-06     1.21e-06     1.44e-06  #> 2.527036e+00 2.815672e+00 3.128828e+00 3.466589e+00 3.828609e+00 4.214051e+00  #>     1.72e-06     2.06e-06     2.45e-06     2.93e-06     3.49e-06     4.17e-06  #> 4.621551e+00 5.049193e+00 5.494492e+00 5.954415e+00 6.425412e+00 6.903482e+00  #>     4.98e-06     5.94e-06     7.09e-06     8.46e-06     1.01e-05      1.2e-05  #> 7.384253e+00 7.863102e+00 8.335280e+00 8.796067e+00 9.240932e+00 9.665706e+00  #>     1.44e-05     1.71e-05     2.05e-05     2.44e-05     2.91e-05     3.48e-05  #> 1.006675e+01 1.044112e+01 1.078672e+01 1.110244e+01 1.138819e+01 1.164500e+01  #>     4.15e-05     4.95e-05     5.91e-05     7.05e-05     8.42e-05        1e-04  #> 1.187490e+01 1.208070e+01 1.226570e+01 1.243314e+01 1.258558e+01 1.272433e+01  #>      0.00012     0.000143     0.000171     0.000204     0.000243      0.00029  #> 1.284898e+01 1.295739e+01 1.304607e+01 1.311126e+01 1.315020e+01 1.316268e+01  #>     0.000346     0.000413     0.000493     0.000588     0.000702     0.000838  #> 1.315211e+01 1.312594e+01 1.309514e+01 1.307283e+01 1.307241e+01 1.310551e+01  #>        0.001      0.00119      0.00142       0.0017      0.00203      0.00242  #> 1.317995e+01 1.330042e+01 1.346681e+01 1.367535e+01 1.391969e+01 1.419202e+01  #>      0.00289      0.00345      0.00411      0.00491      0.00586      0.00699  #> 1.448407e+01 1.478786e+01 1.509615e+01 1.540257e+01 1.570168e+01 1.598885e+01  #>      0.00834      0.00995       0.0119       0.0142       0.0169       0.0202  #> 1.626016e+01 1.651232e+01 1.674253e+01 1.694847e+01 1.712823e+01 1.728027e+01  #>       0.0241       0.0288       0.0343       0.0409       0.0489       0.0583  #> 1.740341e+01 1.749673e+01 1.755959e+01 1.759152e+01 1.759215e+01 1.756122e+01  #>       0.0696        0.083       0.0991        0.118        0.141        0.168  #> 1.749844e+01 1.740347e+01 1.727591e+01 1.711521e+01 1.692075e+01 1.669182e+01  #>        0.201         0.24        0.286        0.342        0.408        0.486  #> 1.642767e+01 1.612762e+01 1.579110e+01 1.541784e+01 1.500795e+01 1.456207e+01  #>         0.58        0.693        0.827        0.987         1.18          1.4  #> 1.408146e+01 1.356818e+01 1.302509e+01 1.245594e+01 1.186536e+01 1.125883e+01  #>         1.68            2         2.39         2.85          3.4         4.06  #> 1.064257e+01 1.002339e+01 9.408524e+00 8.805382e+00 8.221287e+00 7.663203e+00  #>         4.84         5.78          6.9         8.23         9.82         11.7  #> 7.137449e+00 6.649430e+00 6.203383e+00 5.802174e+00 5.447164e+00 5.138144e+00  #>           14         16.7         19.9         23.8         28.4         33.8  #> 4.873209e+00 4.648827e+00 4.458701e+00 4.293528e+00 4.147438e+00 4.025062e+00  #>         40.4         48.2         57.5         68.7         81.9         97.8  #> 3.923228e+00 3.833172e+00 3.745724e+00 3.652449e+00 3.546606e+00 3.423801e+00  #>          117          139          166          198          237          282  #> 3.281837e+00 3.119213e+00 2.937145e+00 2.737836e+00 2.524583e+00 2.301380e+00  #>          337          402          480          573          683          816  #> 2.072726e+00 1.843382e+00 1.618080e+00 1.401232e+00 1.196692e+00 1.007558e+00  #>          973         1160         1390         1650         1970         2360  #> 8.360481e-01 6.835105e-01 5.504124e-01 4.364156e-01 3.406147e-01 2.616301e-01  #>         2810         3350         4000         4780         5700         6800  #> 1.977202e-01 1.469509e-01 1.073462e-01 7.700117e-02 5.416234e-02 3.728088e-02  #>         8120         9690        11600        13800        16500        19600  #> 2.503301e-02 1.632133e-02 1.026069e-02 6.153628e-03 3.461409e-03 1.775429e-03  #>        23400        28000        33400        39900  #> 7.899871e-04 2.759636e-04 5.803739e-05 3.902282e-16  # }"},{"path":"https://sizespectrum.org/mizer/reference/getSSB.html","id":null,"dir":"Reference","previous_headings":"","what":"Calculate the SSB of species — getSSB","title":"Calculate the SSB of species — getSSB","text":"Calculates spawning stock biomass (SSB) species. MizerSim object returned every saved time; MizerParams object calculated initial state. SSB total mass mature individuals.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getSSB.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Calculate the SSB of species — getSSB","text":"","code":"getSSB(object)"},{"path":"https://sizespectrum.org/mizer/reference/getSSB.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Calculate the SSB of species — getSSB","text":"object object class MizerParams MizerSim.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getSSB.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Calculate the SSB of species — getSSB","text":"called MizerParams object, named vector SSB grams species model. called MizerSim object, ArraySpeciesByTime object (time x species) containing SSB grams time step species.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/getSSB.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Calculate the SSB of species — getSSB","text":"","code":"ssb <- getSSB(NS_sim) ssb[c(\"1972\", \"2010\"), c(\"Herring\", \"Cod\")] #> Spawning stock biomass (2 times x 2 species) [g]  #>   Herring: min=4.43e+10 mean=1.09e+11 max=1.73e+11 #>   Cod: min=3.47e+11 mean=3.62e+11 max=3.76e+11"},{"path":"https://sizespectrum.org/mizer/reference/getTimes.html","id":null,"dir":"Reference","previous_headings":"","what":"Times for which simulation results are available — getTimes","title":"Times for which simulation results are available — getTimes","text":"Times simulation results available","code":""},{"path":"https://sizespectrum.org/mizer/reference/getTimes.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Times for which simulation results are available — getTimes","text":"","code":"getTimes(sim)"},{"path":"https://sizespectrum.org/mizer/reference/getTimes.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Times for which simulation results are available — getTimes","text":"sim MizerSim object","code":""},{"path":"https://sizespectrum.org/mizer/reference/getTimes.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Times for which simulation results are available — getTimes","text":"numeric vector times (years) simulation results stored MizerSim object.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getTimes.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Times for which simulation results are available — getTimes","text":"","code":"getTimes(NS_sim) #>  [1] 1967 1968 1969 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 1980 1981 #> [16] 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 #> [31] 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010"},{"path":"https://sizespectrum.org/mizer/reference/getTrophicLevel.html","id":null,"dir":"Reference","previous_headings":"","what":"Get trophic level of individuals at size — getTrophicLevel","title":"Get trophic level of individuals at size — getTrophicLevel","text":"Calculates trophic level individuals species size, assuming system steady state. trophic level individual defined 1 consumption-rate-weighted average trophic level prey consumed lifetime current size. trophic level primary resource set 0.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getTrophicLevel.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get trophic level of individuals at size — getTrophicLevel","text":"","code":"getTrophicLevel(   params,   n = initialN(params),   n_pp = initialNResource(params),   n_other = initialNOther(params),   ... )"},{"path":"https://sizespectrum.org/mizer/reference/getTrophicLevel.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get trophic level of individuals at size — getTrophicLevel","text":"params MizerParams object n matrix species abundances (species x size). n_pp vector resource abundance size n_other list abundances dynamical components ecosystem","code":""},{"path":"https://sizespectrum.org/mizer/reference/getTrophicLevel.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get trophic level of individuals at size — getTrophicLevel","text":"ArraySpeciesBySize object (species x size) trophic level individuals size. Entries egg size species NA.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getTrophicLevel.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Get trophic level of individuals at size — getTrophicLevel","text":"traditional non-size-resolved approach, individuals species diet composition \\(D_{ij}\\), defined proportion total biomass intake species \\(\\) comes species \\(j\\). trophic levels satisfy $$T_i = 1 + \\sum_j D_{ij}\\,T_j,$$ solved linear system \\((- D)\\,\\mathbf{T} = \\mathbf{1}\\). mizer, diet composition changes individual grows, must integrate individual's lifetime. Assuming steady state growth rate \\(g_i(w)\\) prey densities depend size time, can replace integral time since birth integral weight using \\(dt = dw / g_i(w)\\). trophic level \\(T_i(w)\\) individual species \\(\\) weight \\(w\\) $$ T_i(w) = 1 + \\frac{   \\int_{w_0}^{w} \\frac{1}{g_i(w')} \\sum_j \\int r_{ij}(w', w_p)\\, T_j(w_p)\\, dw_p\\, dw' }{   \\int_{w_0}^{w} \\frac{1}{g_i(w')} \\sum_j \\int r_{ij}(w', w_p)\\, dw_p\\, dw' }, $$ \\(w_0\\) egg size \\(r_{ij}(w, w_p)\\) rate predator species \\(\\) weight \\(w\\) consumes biomass prey species \\(j\\) weight \\(w_p\\): $$ r_{ij}(w, w_p) = \\theta_{ij}\\,\\gamma_i(w)\\,(1 - f_i(w))\\,\\phi_i(w/w_p)\\,   N_j(w_p)\\,w_p. $$ sum \\(j\\) runs species. resource excluded numerator trophic level 0, included denominator (equals total biomass consumed predator's lifetime egg size current weight \\(w\\)). equation can viewed linear system \\((- D)\\,\\mathbf{T} = \\mathbf{1}\\) entries \\(\\mathbf{T}\\) indexed \\((, w)\\) matrix \\(D\\) encodes lifetime-integrated diet composition. system solved iteratively small large sizes, exploiting fact prey typically much smaller predator (large predator--prey mass ratio), trophic levels relevant prey sizes already known computing \\(T_i(w)\\).","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/getTrophicLevel.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get trophic level of individuals at size — getTrophicLevel","text":"","code":"tl <- getTrophicLevel(NS_params) plot(tl)"},{"path":"https://sizespectrum.org/mizer/reference/getTrophicLevelBySpecies.html","id":null,"dir":"Reference","previous_headings":"","what":"Get mean trophic level of each species — getTrophicLevelBySpecies","title":"Get mean trophic level of each species — getTrophicLevelBySpecies","text":"Calculates consumption-rate-weighted mean trophic level species, defined $$   T_i = \\frac{\\int r_i(w)\\,N_i(w)\\,T_i(w)\\,dw}              {\\int r_i(w)\\,N_i(w)\\,dw}, $$ \\(r_i(w) = (1 - f_i(w))\\,E_i(w)\\) consumption rate individual species \\(\\) weight \\(w\\), \\(N_i(w)\\) abundance density, \\(T_i(w)\\) size-resolved trophic level getTrophicLevel().","code":""},{"path":"https://sizespectrum.org/mizer/reference/getTrophicLevelBySpecies.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get mean trophic level of each species — getTrophicLevelBySpecies","text":"","code":"getTrophicLevelBySpecies(   params,   n = initialN(params),   n_pp = initialNResource(params),   n_other = initialNOther(params),   ... )"},{"path":"https://sizespectrum.org/mizer/reference/getTrophicLevelBySpecies.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get mean trophic level of each species — getTrophicLevelBySpecies","text":"params MizerParams object n matrix species abundances (species x size). n_pp vector resource abundance size n_other list abundances dynamical components ecosystem","code":""},{"path":"https://sizespectrum.org/mizer/reference/getTrophicLevelBySpecies.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get mean trophic level of each species — getTrophicLevelBySpecies","text":"named vector mean trophic level species.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/getTrophicLevelBySpecies.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get mean trophic level of each species — getTrophicLevelBySpecies","text":"","code":"getTrophicLevelBySpecies(NS_params) #>    Sprat  Sandeel   N.pout  Herring      Dab  Whiting     Sole  Gurnard  #> 1.000097 1.000046 1.215283 1.005033 1.278265 1.525713 1.217122 1.044212  #>   Plaice  Haddock      Cod   Saithe  #> 1.146182 1.151806 2.074701 1.602743"},{"path":"https://sizespectrum.org/mizer/reference/getYield.html","id":null,"dir":"Reference","previous_headings":"","what":"Calculate the rate at which biomass of each species is fished — getYield","title":"Calculate the rate at which biomass of each species is fished — getYield","text":"yield rate given grams per year. calculated time step saved MizerSim object.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getYield.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Calculate the rate at which biomass of each species is fished — getYield","text":"","code":"getYield(object)"},{"path":"https://sizespectrum.org/mizer/reference/getYield.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Calculate the rate at which biomass of each species is fished — getYield","text":"object object class MizerParams MizerSim.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getYield.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Calculate the rate at which biomass of each species is fished — getYield","text":"called MizerParams object, named numeric vector yield rate grams per year species model. called MizerSim object, ArraySpeciesByTime object (time x species) containing yield rate grams per year saved time step.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getYield.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Calculate the rate at which biomass of each species is fished — getYield","text":"yield rate \\(y_i(t)\\) species \\(\\) time \\(t\\) defined $$y_i(t)=\\int\\mu_{f.}(w, t)N_i(w, t)w dw$$ \\(\\mu_{f.}(w, t)\\) fishing mortality individual species \\(\\) weight \\(w\\) time \\(t\\) \\(N_i(w, t)\\) abundance density individuals.  factor \\(w\\) converts abundance density biomass density integral aggregates contribution sizes. total catch time period \\(t_1\\)  \\(t_2\\) integral yield rate period: $$C = \\int_{t_1}^{t2}y_i(t)dt$$ practice, yield rate available saved times, one can approximate integral averaging available yield rates time period multiplying time period. less yield changes saved values, accurate approximation . approximation can improved saving simulation results smaller intervals, using t_save argument project(). concern abundances change quickly time period interest.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/getYield.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Calculate the rate at which biomass of each species is fished — getYield","text":"","code":"yield <- getYield(NS_sim) yield[c(\"1972\", \"2010\"), c(\"Herring\", \"Cod\")] #> Yield rate (2 times x 2 species) [g/year]  #>   Herring: min=3.05e+10 mean=5.52e+10 max=8e+10 #>   Cod: min=2.89e+11 mean=3.22e+11 max=3.55e+11  # Running simulation for another year, saving intermediate time steps params <- setInitialValues(getParams(NS_sim), NS_sim) sim <- project(params, t_save = 0.1, t_max = 1,                t_start = 2010, progress_bar = FALSE) # The yield rate for Herring decreases during the year getYield(sim)[, \"Herring\"] #>        2010      2010.1      2010.2      2010.3      2010.4      2010.5  #> 30496241734 30406503779 30297907652 30173956406 30038604629 29896229522  #>      2010.6      2010.7      2010.8      2010.9        2011  #> 29751183405 29607379160 29468046935 29335685116 29212159486  # We approximate the total catch in the year by averaging over the year sum(getYield(sim)[1:10, \"Herring\"] / 10) #> [1] 29947173834"},{"path":"https://sizespectrum.org/mizer/reference/getYieldGear.html","id":null,"dir":"Reference","previous_headings":"","what":"Calculate the rate at which biomass of each species is fished by each gear — getYieldGear","title":"Calculate the rate at which biomass of each species is fished by each gear — getYieldGear","text":"yield rate given grams per year. calculated time step saved MizerSim object.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getYieldGear.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Calculate the rate at which biomass of each species is fished by each gear — getYieldGear","text":"","code":"getYieldGear(object)"},{"path":"https://sizespectrum.org/mizer/reference/getYieldGear.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Calculate the rate at which biomass of each species is fished by each gear — getYieldGear","text":"object object class MizerParams MizerSim.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getYieldGear.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Calculate the rate at which biomass of each species is fished by each gear — getYieldGear","text":"called MizerParams object, array (gear x species) yield rate grams per year gear species model. called MizerSim object, array (time x gear x species) containing yield rate time step.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getYieldGear.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Calculate the rate at which biomass of each species is fished by each gear — getYieldGear","text":"details yield rate defined see help page getYield().","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/getYieldGear.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Calculate the rate at which biomass of each species is fished by each gear — getYieldGear","text":"","code":"yield <- getYieldGear(NS_sim) dim(yield) #> [1] 44 12 12 yield[\"1972\", , \"Herring\"] #>       Sprat     Sandeel      N.pout     Herring         Dab     Whiting  #>           0           0           0 80002050975           0           0  #>        Sole     Gurnard      Plaice     Haddock         Cod      Saithe  #>           0           0           0           0           0           0"},{"path":"https://sizespectrum.org/mizer/reference/getZ.html","id":null,"dir":"Reference","previous_headings":"","what":"Alias for getMort() — getZ","title":"Alias for getMort() — getZ","text":"alias provided backward compatibility mizer version <= 1.0","code":""},{"path":"https://sizespectrum.org/mizer/reference/getZ.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Alias for getMort() — getZ","text":"","code":"getZ(   params,   n = initialN(params),   n_pp = initialNResource(params),   n_other = initialNOther(params),   effort = getInitialEffort(params),   t = 0,   ... )"},{"path":"https://sizespectrum.org/mizer/reference/getZ.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Alias for getMort() — getZ","text":"params MizerParams object n matrix species abundances (species x size). n_pp vector resource abundance size n_other list abundances dynamical components ecosystem effort numeric vector effort gear single numeric effort value used gears. t time calculation (used standard mizer rate functions useful extensions time-dependent parameters.) ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/getZ.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Alias for getMort() — getZ","text":"ArraySpeciesBySize object (species x size) total mortality rates.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getZ.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Alias for getMort() — getZ","text":"model contains additional components added setComponent() specified mort_fun function mortality inflicted components included returned value.","code":""},{"path":"https://sizespectrum.org/mizer/reference/getZ.html","id":"your-own-mortality-function","dir":"Reference","previous_headings":"","what":"Your own mortality function","title":"Alias for getMort() — getZ","text":"default getMort() calls mizerMort(). However can replace alternative mortality function. function called \"myMort\" register MizerParams object params   function called instead mizerMort(), arguments.","code":"params <- setRateFunction(params, \"Mort\", \"myMort\")"},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/getZ.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Alias for getMort() — getZ","text":"","code":"# \\donttest{ params <- NS_params # Project with constant fishing effort for all gears for 20 time steps sim <- project(params, t_max = 20, effort = 0.5) # Get the total mortality at a particular time step mort <- getMort(params, n = N(sim)[15, , ], n_pp = NResource(sim)[15, ],                  t = 15, effort = 0.5) # Mortality rate at this time for Sprat of size 2g mort[\"Sprat\", \"2\"] #> [1] 1.640475 # }"},{"path":"https://sizespectrum.org/mizer/reference/get_f0_default.html","id":null,"dir":"Reference","previous_headings":"","what":"Get default value for f0 — get_f0_default","title":"Get default value for f0 — get_f0_default","text":"Fills missing values f0 prey abundance described power law \\(\\kappa w^{-\\lambda}\\) encounter rate coming given gamma parameter lead feeding level \\(f_0\\). thus inverse get_gamma_default(). internal use.","code":""},{"path":"https://sizespectrum.org/mizer/reference/get_f0_default.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get default value for f0 — get_f0_default","text":"","code":"get_f0_default(params)"},{"path":"https://sizespectrum.org/mizer/reference/get_f0_default.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get default value for f0 — get_f0_default","text":"params MizerParams object","code":""},{"path":"https://sizespectrum.org/mizer/reference/get_f0_default.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get default value for f0 — get_f0_default","text":"vector values f0 species","code":""},{"path":"https://sizespectrum.org/mizer/reference/get_f0_default.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Get default value for f0 — get_f0_default","text":"species value gamma specified species parameter data frame, f0 values kept provided species parameter data frame set 0.6 provided.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/get_gamma_default.html","id":null,"dir":"Reference","previous_headings":"","what":"Get default value for gamma — get_gamma_default","title":"Get default value for gamma — get_gamma_default","text":"Fills missing values gamma fish feeding resource spectrum described power law \\(\\kappa w^{-\\lambda}\\) achieve feeding level \\(f_0\\). internal use.","code":""},{"path":"https://sizespectrum.org/mizer/reference/get_gamma_default.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get default value for gamma — get_gamma_default","text":"","code":"get_gamma_default(params)"},{"path":"https://sizespectrum.org/mizer/reference/get_gamma_default.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get default value for gamma — get_gamma_default","text":"params MizerParams object","code":""},{"path":"https://sizespectrum.org/mizer/reference/get_gamma_default.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get default value for gamma — get_gamma_default","text":"vector values gamma species","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/get_h_default.html","id":null,"dir":"Reference","previous_headings":"","what":"Get default value for h — get_h_default","title":"Get default value for h — get_h_default","text":"Sets h species reaches maturity size w_mat maturity age age_mat feeds feeding level f0.","code":""},{"path":"https://sizespectrum.org/mizer/reference/get_h_default.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get default value for h — get_h_default","text":"","code":"get_h_default(params)"},{"path":"https://sizespectrum.org/mizer/reference/get_h_default.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get default value for h — get_h_default","text":"params MizerParams object species parameter data frame","code":""},{"path":"https://sizespectrum.org/mizer/reference/get_h_default.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get default value for h — get_h_default","text":"vector values h species","code":""},{"path":"https://sizespectrum.org/mizer/reference/get_h_default.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Get default value for h — get_h_default","text":"age_mat missing species parameter data frame, calculated von Bertalanffy growth curve parameters k_vb (optionally t0) taken species parameter data frame. reliable warning issued. growth information given species, default set h = 30.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/get_initial_n.html","id":null,"dir":"Reference","previous_headings":"","what":"Calculate initial population abundances — get_initial_n","title":"Calculate initial population abundances — get_initial_n","text":"function uses model parameters parameters calculate initial values species number densities. initial abundances currently quite arbitrary close steady state. intend improve future.","code":""},{"path":"https://sizespectrum.org/mizer/reference/get_initial_n.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Calculate initial population abundances — get_initial_n","text":"","code":"get_initial_n(params, n0_mult = NULL, a = 0.35)"},{"path":"https://sizespectrum.org/mizer/reference/get_initial_n.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Calculate initial population abundances — get_initial_n","text":"params model parameters. object type MizerParams. n0_mult Multiplier abundance size 0 using defaults edition 1. supplied, kappa / 1000 used. argument ignored defaults edition 2 later. parameter default value 0.35.","code":""},{"path":"https://sizespectrum.org/mizer/reference/get_initial_n.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Calculate initial population abundances — get_initial_n","text":"ArraySpeciesBySize object (species x size) population abundances.","code":""},{"path":"https://sizespectrum.org/mizer/reference/get_initial_n.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Calculate initial population abundances — get_initial_n","text":"","code":"init_n <- get_initial_n(NS_params)"},{"path":"https://sizespectrum.org/mizer/reference/get_ks_default.html","id":null,"dir":"Reference","previous_headings":"","what":"Get default value for ks — get_ks_default","title":"Get default value for ks — get_ks_default","text":"Fills missing values ks critical feeding level needed sustain species specified fc column species parameter data frame. column provided default critical feeding level \\(f_c = 0.2\\) used.","code":""},{"path":"https://sizespectrum.org/mizer/reference/get_ks_default.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get default value for ks — get_ks_default","text":"","code":"get_ks_default(params)"},{"path":"https://sizespectrum.org/mizer/reference/get_ks_default.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get default value for ks — get_ks_default","text":"params MizerParams object","code":""},{"path":"https://sizespectrum.org/mizer/reference/get_ks_default.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get default value for ks — get_ks_default","text":"vector values ks species","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/get_phi.html","id":null,"dir":"Reference","previous_headings":"","what":"Get values from feeding kernel function — get_phi","title":"Get values from feeding kernel function — get_phi","text":"involves finding feeding kernel function species, using pred_kernel_type parameter species_params data frame, checking valid arguments contained species_params data frame, calling function ppmr vector.","code":""},{"path":"https://sizespectrum.org/mizer/reference/get_phi.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get values from feeding kernel function — get_phi","text":"","code":"get_phi(species_params, ppmr)"},{"path":"https://sizespectrum.org/mizer/reference/get_phi.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get values from feeding kernel function — get_phi","text":"species_params species parameter data frame ppmr Values predator/prey mass ratio evaluate predation kernel function","code":""},{"path":"https://sizespectrum.org/mizer/reference/get_phi.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get values from feeding kernel function — get_phi","text":"array (species x ppmr) values predation kernel function","code":""},{"path":"https://sizespectrum.org/mizer/reference/get_size_range_array.html","id":null,"dir":"Reference","previous_headings":"","what":"Get size range array — get_size_range_array","title":"Get size range array — get_size_range_array","text":"Helper function returns array (species x size) logical values indicating whether size bin within size limits specified arguments. Either size limits can species can specified vectors one value species model.","code":""},{"path":"https://sizespectrum.org/mizer/reference/get_size_range_array.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get size range array — get_size_range_array","text":"","code":"get_size_range_array(   params,   min_w = min(params@w),   max_w = max(params@w),   min_l = NULL,   max_l = NULL,   ... )"},{"path":"https://sizespectrum.org/mizer/reference/get_size_range_array.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get size range array — get_size_range_array","text":"params MizerParams object min_w Smallest weight size range. Defaults smallest weight model. max_w Largest weight size range. Defaults largest weight model. min_l Smallest length size range. supplied, takes precedence min_w. max_l Largest length size range. supplied, takes precedence max_w. ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/get_size_range_array.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get size range array — get_size_range_array","text":"logical array (species x size), dimnames sp w.","code":""},{"path":"https://sizespectrum.org/mizer/reference/get_size_range_array.html","id":"length-to-weight-conversion","dir":"Reference","previous_headings":"","what":"Length to weight conversion","title":"Get size range array — get_size_range_array","text":"min_l specified need specify min_w . However, length specified (minimum maximum) necessary species parameter data.frame include parameters b determine relation length \\(l\\) weight \\(w\\) $$w = l^b.$$ possible mix length weight constraints, e.g. supplying minimum weight maximum length, must done species. default values minimum maximum weights spectrum, .e., full range size spectrum used.","code":""},{"path":"https://sizespectrum.org/mizer/reference/get_steady_state_n.html","id":null,"dir":"Reference","previous_headings":"","what":"Calculate steady state abundance — get_steady_state_n","title":"Calculate steady state abundance — get_steady_state_n","text":"function calculates steady state abundance solving transport equation given growth mortality rates. sets tri-diagonal system solves .","code":""},{"path":"https://sizespectrum.org/mizer/reference/get_steady_state_n.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Calculate steady state abundance — get_steady_state_n","text":"","code":"get_steady_state_n(params, g, mu, N0)"},{"path":"https://sizespectrum.org/mizer/reference/get_steady_state_n.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Calculate steady state abundance — get_steady_state_n","text":"params MizerParams object g matrix growth rates (species x size) mu matrix mortality rates (species x size) N0 vector abundance smallest size species","code":""},{"path":"https://sizespectrum.org/mizer/reference/get_steady_state_n.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Calculate steady state abundance — get_steady_state_n","text":"matrix steady state abundance","code":""},{"path":"https://sizespectrum.org/mizer/reference/get_time_elements.html","id":null,"dir":"Reference","previous_headings":"","what":"Get array indices for a time range in a MizerSim object — get_time_elements","title":"Get array indices for a time range in a MizerSim object — get_time_elements","text":"Internal helper select saved time points whose times lie smallest largest values time_range, inclusive.","code":""},{"path":"https://sizespectrum.org/mizer/reference/get_time_elements.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get array indices for a time range in a MizerSim object — get_time_elements","text":"","code":"get_time_elements(sim, time_range, slot_name = \"n\")"},{"path":"https://sizespectrum.org/mizer/reference/get_time_elements.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get array indices for a time range in a MizerSim object — get_time_elements","text":"sim MizerSim object. time_range numeric character vector times. range values matters, saved times min(time_range) max(time_range) selected. slot_name Obsolete, kept backward compatibility early versions different time-based slots different time grids. Leave default.","code":""},{"path":"https://sizespectrum.org/mizer/reference/get_time_elements.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get array indices for a time range in a MizerSim object — get_time_elements","text":"named logical vector, one entry saved time sim, indicating whether time lies requested range.","code":""},{"path":"https://sizespectrum.org/mizer/reference/indicator_functions.html","id":null,"dir":"Reference","previous_headings":"","what":"Description of indicator functions — indicator_functions","title":"Description of indicator functions — indicator_functions","text":"Mizer provides range functions calculate indicators MizerSim MizerParams object.","code":""},{"path":"https://sizespectrum.org/mizer/reference/indicator_functions.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Description of indicator functions — indicator_functions","text":"called MizerSim object, functions return time series values. called MizerParams object, return single value calculated initial abundances stored params object. list available indicator functions given table ","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/initialN-set.html","id":null,"dir":"Reference","previous_headings":"","what":"Initial values for fish spectra — initialN<-","title":"Initial values for fish spectra — initialN<-","text":"Values used starting values simulations project().","code":""},{"path":"https://sizespectrum.org/mizer/reference/initialN-set.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Initial values for fish spectra — initialN<-","text":"","code":"initialN(params) <- value  initialN(object)  # S3 method for class 'MizerParams' initialN(object)  # S3 method for class 'MizerSim' initialN(object)"},{"path":"https://sizespectrum.org/mizer/reference/initialN-set.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Initial values for fish spectra — initialN<-","text":"params MizerParams object value matrix dimensions species x size holding initial number densities fish spectra. object object class MizerParams MizerSim","code":""},{"path":"https://sizespectrum.org/mizer/reference/initialN-set.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Initial values for fish spectra — initialN<-","text":"ArraySpeciesBySize object dimensions species x size holding initial number densities fish spectra.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/initialN-set.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Initial values for fish spectra — initialN<-","text":"","code":"# Doubling abundance of Cod in the initial state of the North Sea model params <- NS_params initialN(params)[\"Cod\", ] <- 2 * initialN(params)[\"Cod\", ] # Calculating the corresponding initial biomass biomass <- initialN(params)[\"Cod\", ] * dw(NS_params) * w(NS_params) # Of course this initial state will no longer be a steady state params <- steady(params) #> Convergence was achieved in 16.5 years. #> Warning: The following species require an unrealistic value greater than 1 for `erepro`: Sandeel, Plaice, Cod"},{"path":"https://sizespectrum.org/mizer/reference/initialNOther-set.html","id":null,"dir":"Reference","previous_headings":"","what":"Initial values for other ecosystem components — initialNOther<-","title":"Initial values for other ecosystem components — initialNOther<-","text":"Values used starting values simulations project().","code":""},{"path":"https://sizespectrum.org/mizer/reference/initialNOther-set.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Initial values for other ecosystem components — initialNOther<-","text":"","code":"initialNOther(params) <- value  initialNOther(object)"},{"path":"https://sizespectrum.org/mizer/reference/initialNOther-set.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Initial values for other ecosystem components — initialNOther<-","text":"params MizerParams object value named list initial values ecosystem components object object class MizerParams MizerSim","code":""},{"path":"https://sizespectrum.org/mizer/reference/initialNOther-set.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Initial values for other ecosystem components — initialNOther<-","text":"named list initial values ecosystem components","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/initialNResource-set.html","id":null,"dir":"Reference","previous_headings":"","what":"Initial value for resource spectrum — initialNResource<-","title":"Initial value for resource spectrum — initialNResource<-","text":"Value used starting value simulations project().","code":""},{"path":"https://sizespectrum.org/mizer/reference/initialNResource-set.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Initial value for resource spectrum — initialNResource<-","text":"","code":"initialNResource(params) <- value  initialNResource(object)  # S3 method for class 'MizerParams' initialNResource(object)  # S3 method for class 'MizerSim' initialNResource(object)"},{"path":"https://sizespectrum.org/mizer/reference/initialNResource-set.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Initial value for resource spectrum — initialNResource<-","text":"params MizerParams object value vector initial number densities resource spectrum object object class MizerParams MizerSim","code":""},{"path":"https://sizespectrum.org/mizer/reference/initialNResource-set.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Initial value for resource spectrum — initialNResource<-","text":"vector initial number densities resource spectrum","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/initialNResource-set.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Initial value for resource spectrum — initialNResource<-","text":"","code":"# Doubling resource abundance in the initial state of the North Sea model params <- NS_params initialNResource(params) <- 2 * initialNResource(params) # Of course this initial state will no longer be a steady state params <- steady(params) #> Convergence was achieved in 16.5 years."},{"path":"https://sizespectrum.org/mizer/reference/initial_effort.html","id":null,"dir":"Reference","previous_headings":"","what":"Initial fishing effort — initial_effort","title":"Initial fishing effort — initial_effort","text":"fishing effort named vector, specifying fishing gear effort invested fishing gear. effort value gear multiplied catchability selectivity determine fishing mortality imposed gear, see setFishing() details. initial effort set can overruled running simulation providing effort argument project() allows specify time-varying effort.","code":""},{"path":"https://sizespectrum.org/mizer/reference/initial_effort.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Initial fishing effort — initial_effort","text":"","code":"initial_effort(params)  initial_effort(params) <- value  validEffortVector(effort, params)"},{"path":"https://sizespectrum.org/mizer/reference/initial_effort.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Initial fishing effort — initial_effort","text":"params MizerParams object value vector scalar initial fishing effort, see Details . effort vector scalar initial fishing effort, see Details .","code":""},{"path":"https://sizespectrum.org/mizer/reference/initial_effort.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Initial fishing effort — initial_effort","text":"named effort vector ordered gear.","code":""},{"path":"https://sizespectrum.org/mizer/reference/initial_effort.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Initial fishing effort — initial_effort","text":"valid effort vector named vector one effort value gear. However can also supply effort value different ways: scalar, replicated gear unnamed vector, assumed order gears params object named vector gear names different order params object. sorted correctly. named vector supplies values gears. effort gears set default effort returned validEffortVector(), depends defaults edition. conversions done function validEffortVector(). effort argument lead error either unnamed wrong length named names match gears numeric","code":""},{"path":"https://sizespectrum.org/mizer/reference/inter.html","id":null,"dir":"Reference","previous_headings":"","what":"Alias for NS_interaction — inter","title":"Alias for NS_interaction — inter","text":"alias provided backward compatibility mizer version <= 2.3","code":""},{"path":"https://sizespectrum.org/mizer/reference/inter.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Alias for NS_interaction — inter","text":"","code":"inter"},{"path":"https://sizespectrum.org/mizer/reference/inter.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Alias for NS_interaction — inter","text":"12 x 12 matrix.","code":""},{"path":"https://sizespectrum.org/mizer/reference/inter.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Alias for NS_interaction — inter","text":"Blanchard et al.","code":""},{"path":"https://sizespectrum.org/mizer/reference/is.ArraySpeciesBySize.html","id":null,"dir":"Reference","previous_headings":"","what":"Test if an object is a ArraySpeciesBySize — is.ArraySpeciesBySize","title":"Test if an object is a ArraySpeciesBySize — is.ArraySpeciesBySize","text":"Test object ArraySpeciesBySize","code":""},{"path":"https://sizespectrum.org/mizer/reference/is.ArraySpeciesBySize.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Test if an object is a ArraySpeciesBySize — is.ArraySpeciesBySize","text":"","code":"is.ArraySpeciesBySize(x)"},{"path":"https://sizespectrum.org/mizer/reference/is.ArraySpeciesBySize.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Test if an object is a ArraySpeciesBySize — is.ArraySpeciesBySize","text":"x object test.","code":""},{"path":"https://sizespectrum.org/mizer/reference/is.ArraySpeciesBySize.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Test if an object is a ArraySpeciesBySize — is.ArraySpeciesBySize","text":"TRUE x ArraySpeciesBySize object, FALSE otherwise.","code":""},{"path":"https://sizespectrum.org/mizer/reference/is.ArraySpeciesBySize.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Test if an object is a ArraySpeciesBySize — is.ArraySpeciesBySize","text":"","code":"is.ArraySpeciesBySize(getEncounter(NS_params)) #> [1] TRUE is.ArraySpeciesBySize(matrix(1:4, nrow = 2)) #> [1] FALSE"},{"path":"https://sizespectrum.org/mizer/reference/is.ArraySpeciesByTime.html","id":null,"dir":"Reference","previous_headings":"","what":"Test if an object is a ArraySpeciesByTime — is.ArraySpeciesByTime","title":"Test if an object is a ArraySpeciesByTime — is.ArraySpeciesByTime","text":"Test object ArraySpeciesByTime","code":""},{"path":"https://sizespectrum.org/mizer/reference/is.ArraySpeciesByTime.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Test if an object is a ArraySpeciesByTime — is.ArraySpeciesByTime","text":"","code":"is.ArraySpeciesByTime(x)"},{"path":"https://sizespectrum.org/mizer/reference/is.ArraySpeciesByTime.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Test if an object is a ArraySpeciesByTime — is.ArraySpeciesByTime","text":"x object test.","code":""},{"path":"https://sizespectrum.org/mizer/reference/is.ArraySpeciesByTime.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Test if an object is a ArraySpeciesByTime — is.ArraySpeciesByTime","text":"TRUE x ArraySpeciesByTime object, FALSE otherwise.","code":""},{"path":"https://sizespectrum.org/mizer/reference/is.ArraySpeciesByTime.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Test if an object is a ArraySpeciesByTime — is.ArraySpeciesByTime","text":"","code":"is.ArraySpeciesByTime(getBiomass(NS_sim)) #> [1] TRUE is.ArraySpeciesByTime(matrix(1:4, nrow = 2)) #> [1] FALSE"},{"path":"https://sizespectrum.org/mizer/reference/isSuffixChain.html","id":null,"dir":"Reference","previous_headings":"","what":"Test whether one extension chain is a suffix of another — isSuffixChain","title":"Test whether one extension chain is a suffix of another — isSuffixChain","text":"empty candidate always suffix. Order values must match exactly overlapping tail.","code":""},{"path":"https://sizespectrum.org/mizer/reference/isSuffixChain.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Test whether one extension chain is a suffix of another — isSuffixChain","text":"","code":"isSuffixChain(candidate, chain)"},{"path":"https://sizespectrum.org/mizer/reference/isSuffixChain.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Test whether one extension chain is a suffix of another — isSuffixChain","text":"candidate Named character vector test. chain Named character vector may contain candidate tail.","code":""},{"path":"https://sizespectrum.org/mizer/reference/isSuffixChain.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Test whether one extension chain is a suffix of another — isSuffixChain","text":"TRUE candidate suffix chain, FALSE otherwise.","code":""},{"path":"https://sizespectrum.org/mizer/reference/isVersionRequirement.html","id":null,"dir":"Reference","previous_headings":"","what":"Test whether a requirement string is a dotted version number — isVersionRequirement","title":"Test whether a requirement string is a dotted version number — isVersionRequirement","text":"Test whether requirement string dotted version number","code":""},{"path":"https://sizespectrum.org/mizer/reference/isVersionRequirement.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Test whether a requirement string is a dotted version number — isVersionRequirement","text":"","code":"isVersionRequirement(requirement)"},{"path":"https://sizespectrum.org/mizer/reference/isVersionRequirement.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Test whether a requirement string is a dotted version number — isVersionRequirement","text":"requirement Character string.","code":""},{"path":"https://sizespectrum.org/mizer/reference/isVersionRequirement.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Test whether a requirement string is a dotted version number — isVersionRequirement","text":"TRUE requirement matches \"X.Y.Z...\" (digits dots ).","code":""},{"path":"https://sizespectrum.org/mizer/reference/knife_edge.html","id":null,"dir":"Reference","previous_headings":"","what":"Weight based knife-edge selectivity function — knife_edge","title":"Weight based knife-edge selectivity function — knife_edge","text":"knife-edge selectivity function weights greater equal knife_edge_size fully selected fish smaller size selected.","code":""},{"path":"https://sizespectrum.org/mizer/reference/knife_edge.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Weight based knife-edge selectivity function — knife_edge","text":"","code":"knife_edge(w, knife_edge_size, ...)"},{"path":"https://sizespectrum.org/mizer/reference/knife_edge.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Weight based knife-edge selectivity function — knife_edge","text":"w Vector sizes. knife_edge_size weight knife-edge operates. ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/knife_edge.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Weight based knife-edge selectivity function — knife_edge","text":"Vector selectivities given sizes.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/l2w.html","id":null,"dir":"Reference","previous_headings":"","what":"Length-weight conversion — l2w","title":"Length-weight conversion — l2w","text":"species, convert length weight using relationship $$w_i = a_i l_i^{b_i}$$ $$l_i = (w_i / a_i)^{1/b_i}$$ b taken species parameter data frame \\(\\) species index.","code":""},{"path":"https://sizespectrum.org/mizer/reference/l2w.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Length-weight conversion — l2w","text":"","code":"l2w(l, species_params)  w2l(w, species_params)"},{"path":"https://sizespectrum.org/mizer/reference/l2w.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Length-weight conversion — l2w","text":"l Lengths cm. Either single number used species vector one number species. species_params species parameter data frame MizerParams object. w Weights grams. Either single number used species vector one number species.","code":""},{"path":"https://sizespectrum.org/mizer/reference/l2w.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Length-weight conversion — l2w","text":"vector one entry species. l2w() returns vector weights grams w2l() returns vector lengths cm.","code":""},{"path":"https://sizespectrum.org/mizer/reference/l2w.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Length-weight conversion — l2w","text":"useful converting length-based species parameter weight-based species parameter. b parameters missing default values = 0.01 b = 3 used missing values.","code":""},{"path":"https://sizespectrum.org/mizer/reference/log_breaks.html","id":null,"dir":"Reference","previous_headings":"","what":"Helper function to produce nice breaks on logarithmic axes — log_breaks","title":"Helper function to produce nice breaks on logarithmic axes — log_breaks","text":"needed logarithmic y-axis spans less one order magnitude, case ggplot2 default produces ticks.","code":""},{"path":"https://sizespectrum.org/mizer/reference/log_breaks.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Helper function to produce nice breaks on logarithmic axes — log_breaks","text":"","code":"log_breaks(n = 6)"},{"path":"https://sizespectrum.org/mizer/reference/log_breaks.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Helper function to produce nice breaks on logarithmic axes — log_breaks","text":"n Approximate number ticks","code":""},{"path":"https://sizespectrum.org/mizer/reference/log_breaks.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Helper function to produce nice breaks on logarithmic axes — log_breaks","text":"function can used break argument calls scale_y_continuous() scale_x_continuous()","code":""},{"path":"https://sizespectrum.org/mizer/reference/log_breaks.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Helper function to produce nice breaks on logarithmic axes — log_breaks","text":"Thanks Heather Turner https://stackoverflow.com/questions/14255533/pretty-ticks--log-normal-scale-using-ggplot2-dynamic--manual","code":""},{"path":"https://sizespectrum.org/mizer/reference/lognormal_pred_kernel.html","id":null,"dir":"Reference","previous_headings":"","what":"Lognormal predation kernel — lognormal_pred_kernel","title":"Lognormal predation kernel — lognormal_pred_kernel","text":"commonly-used predation kernel. log predator/prey mass ratio normally distributed.","code":""},{"path":"https://sizespectrum.org/mizer/reference/lognormal_pred_kernel.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Lognormal predation kernel — lognormal_pred_kernel","text":"","code":"lognormal_pred_kernel(ppmr, beta, sigma)"},{"path":"https://sizespectrum.org/mizer/reference/lognormal_pred_kernel.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Lognormal predation kernel — lognormal_pred_kernel","text":"ppmr vector predator/prey size ratios beta preferred predator/prey size ratio sigma width parameter log-normal kernel","code":""},{"path":"https://sizespectrum.org/mizer/reference/lognormal_pred_kernel.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Lognormal predation kernel — lognormal_pred_kernel","text":"vector giving value predation kernel predator/prey mass ratios ppmr argument.","code":""},{"path":"https://sizespectrum.org/mizer/reference/lognormal_pred_kernel.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Lognormal predation kernel — lognormal_pred_kernel","text":"Writing predator mass \\(w\\) prey mass \\(w_p\\), feeding kernel given $$\\phi_i(w, w_p) = \\exp \\left[ \\frac{-(\\ln(w / w_p / \\beta_i))^2}{2\\sigma_i^2} \\right] $$ \\(w/w_p\\) larger 1 zero otherwise. \\(\\beta_i\\) preferred predator-prey mass ratio \\(\\sigma_i\\) determines width kernel. two parameters need given species parameter dataframe columns beta sigma. function called setPredKernel() set predation kernel slots MizerParams object.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/lognormal_pred_kernel.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Lognormal predation kernel — lognormal_pred_kernel","text":"","code":"params <- NS_params plot(w_full(params), getPredKernel(params)[\"Cod\", 10, ], type=\"l\", log=\"x\")  # The restriction that the kernel is zero for w/w_p < 1 is more # noticeable for larger sigma species_params(params)$sigma <- 4 plot(w_full(params), getPredKernel(params)[\"Cod\", 10, ], type=\"l\", log=\"x\")"},{"path":"https://sizespectrum.org/mizer/reference/markBackground.html","id":null,"dir":"Reference","previous_headings":"","what":"Designate species as background species — markBackground","title":"Designate species as background species — markBackground","text":"Marks specified set species background species setting is_background column species parameters TRUE. Background species handled differently plots (displayed grey) abundances can automatically adjusted keep community close Sheldon spectrum (see adjustBackgroundSpecies() mizerExperimental package).","code":""},{"path":"https://sizespectrum.org/mizer/reference/markBackground.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Designate species as background species — markBackground","text":"","code":"markBackground(object, species = NULL)"},{"path":"https://sizespectrum.org/mizer/reference/markBackground.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Designate species as background species — markBackground","text":"object object class MizerParams MizerSim. species species selected. Optional. default target species selected. vector species names, numeric vector species indices, logical vector indicating species whether selected (TRUE) .","code":""},{"path":"https://sizespectrum.org/mizer/reference/markBackground.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Designate species as background species — markBackground","text":"object class object argument","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/markBackground.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Designate species as background species — markBackground","text":"","code":"params <- markBackground(NS_params,                          species = c(\"Sprat\", \"Sandeel\", \"N.pout\")) any(species_params(params)$is_background) #> [1] TRUE"},{"path":"https://sizespectrum.org/mizer/reference/matchBiomasses.html","id":null,"dir":"Reference","previous_headings":"","what":"Match biomasses to observations — matchBiomasses","title":"Match biomasses to observations — matchBiomasses","text":"function adjusts abundances species model biomasses match observations.","code":""},{"path":"https://sizespectrum.org/mizer/reference/matchBiomasses.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Match biomasses to observations — matchBiomasses","text":"","code":"matchBiomasses(params, species = NULL, info_level = 3, ...)"},{"path":"https://sizespectrum.org/mizer/reference/matchBiomasses.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Match biomasses to observations — matchBiomasses","text":"params MizerParams object species species affected. Optional. default observed biomasses matched. vector species names, numeric vector species indices, logical vector indicating species whether affected (TRUE) . info_level Controls amount information messages shown. Higher levels lead messages. ... Additional arguments passed method.","code":""},{"path":"https://sizespectrum.org/mizer/reference/matchBiomasses.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Match biomasses to observations — matchBiomasses","text":"MizerParams object","code":""},{"path":"https://sizespectrum.org/mizer/reference/matchBiomasses.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Match biomasses to observations — matchBiomasses","text":"function works multiplying species abundance density sizes factor. course give steady state solution, even initial abundance densities steady state. using function may want use steady() run model steady state, course biomasses longer match exactly. iterate process. described blog post https://bit.ly/2YqXESV. can use function need added biomass_observed column model gives observed biomass grams.  species observed biomass, set value biomass_observed column 0 NA. Biomass observations usually include individuals certain size. size specified biomass_cutoff column species parameter data frame. missing, assumed sizes included observed biomass, .e., includes larval biomass.","code":""},{"path":"https://sizespectrum.org/mizer/reference/matchBiomasses.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Match biomasses to observations — matchBiomasses","text":"","code":"params <- NS_params species_params(params)$biomass_observed <-      c(0.8, 61, 12, 35, 1.6, 20, 10, 7.6, 135, 60, 30, 78) species_params(params)$biomass_cutoff <- 10 params <- calibrateBiomass(params) params <- matchBiomasses(params) plotBiomassObservedVsModel(params)"},{"path":"https://sizespectrum.org/mizer/reference/matchGrowth.html","id":null,"dir":"Reference","previous_headings":"","what":"Adjust model to produce observed growth — matchGrowth","title":"Adjust model to produce observed growth — matchGrowth","text":"Scales search volume, maximum consumption rate, metabolic rate external encounter rate factor order achieve growth rate allows individuals reach maturity size maturity age keeping feeding level critical feeding level unchanged. recalculates size spectra using steadySingleSpecies().","code":""},{"path":"https://sizespectrum.org/mizer/reference/matchGrowth.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Adjust model to produce observed growth — matchGrowth","text":"","code":"matchGrowth(params, species = NULL, keep = c(\"egg\", \"biomass\", \"number\"), ...)"},{"path":"https://sizespectrum.org/mizer/reference/matchGrowth.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Adjust model to produce observed growth — matchGrowth","text":"params MizerParams object species species affected. Optional. default species growth information available affected. vector species names, numeric vector species indices, logical vector indicating species whether affected (TRUE) . keep string determining quantity kept constant. choices \"egg\" keeps egg density constant, \"biomass\" keeps total biomass species constant \"number\" keeps total number individuals constant. ... Additional arguments passed method.","code":""},{"path":"https://sizespectrum.org/mizer/reference/matchGrowth.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Adjust model to produce observed growth — matchGrowth","text":"modified MizerParams object rescaled search volume, maximum consumption rate metabolic rate rescaled species parameters gamma,h, ks k.","code":""},{"path":"https://sizespectrum.org/mizer/reference/matchGrowth.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Adjust model to produce observed growth — matchGrowth","text":"Maturity size age taken w_mat age_mat columns species_params data frame. age_mat missing, mizer calculates von Bertalanffy growth curve parameters using age_mat_vB(). available either species, growth rate species changed.","code":""},{"path":"https://sizespectrum.org/mizer/reference/matchNumbers.html","id":null,"dir":"Reference","previous_headings":"","what":"Match numbers to observations — matchNumbers","title":"Match numbers to observations — matchNumbers","text":"function adjusts numbers species model numbers match observations.","code":""},{"path":"https://sizespectrum.org/mizer/reference/matchNumbers.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Match numbers to observations — matchNumbers","text":"","code":"matchNumbers(params, species = NULL, info_level = 3, ...)"},{"path":"https://sizespectrum.org/mizer/reference/matchNumbers.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Match numbers to observations — matchNumbers","text":"params MizerParams object species species affected. Optional. default observed numbers matched. vector species names, numeric vector species indices, logical vector indicating species whether affected (TRUE) . info_level Controls amount information messages shown. Higher levels lead messages. ... Additional arguments passed method.","code":""},{"path":"https://sizespectrum.org/mizer/reference/matchNumbers.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Match numbers to observations — matchNumbers","text":"MizerParams object","code":""},{"path":"https://sizespectrum.org/mizer/reference/matchNumbers.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Match numbers to observations — matchNumbers","text":"function works multiplying species number density sizes factor. course give steady state solution, even initial number densities steady state. using function may want use steady() run model steady state, course numbers longer match exactly. iterate process. described blog post https://bit.ly/2YqXESV. can use function need added number_observed column model gives observed number individuals. species observed number, set value number_observed column 0 NA. Number observations usually include individuals certain size. size specified number_cutoff column species parameter data frame. missing, assumed sizes included observed number, .e., includes larval number.","code":""},{"path":"https://sizespectrum.org/mizer/reference/matchNumbers.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Match numbers to observations — matchNumbers","text":"","code":"params <- NS_params species_params(params)$number_observed <-     c(0.8, 61, 12, 35, 1.6, 20, 10, 7.6, 135, 60, 30, 78) species_params(params)$number_cutoff <- 10 params <- calibrateNumber(params) params <- matchNumbers(params)"},{"path":"https://sizespectrum.org/mizer/reference/matchYields.html","id":null,"dir":"Reference","previous_headings":"","what":"Match yields to observations — matchYields","title":"Match yields to observations — matchYields","text":"function deprecated removed future unless use case . use case , please let developers know creating issue https://github.com/sizespectrum/mizer/issues.","code":""},{"path":"https://sizespectrum.org/mizer/reference/matchYields.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Match yields to observations — matchYields","text":"","code":"matchYields(params, species = NULL, info_level = 3, ...)"},{"path":"https://sizespectrum.org/mizer/reference/matchYields.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Match yields to observations — matchYields","text":"params MizerParams object species species affected. Optional. default observed yields matched. vector species names, numeric vector species indices, logical vector indicating species whether affected (TRUE) . info_level Controls amount information messages shown. Higher levels lead messages. ... Additional arguments passed method.","code":""},{"path":"https://sizespectrum.org/mizer/reference/matchYields.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Match yields to observations — matchYields","text":"MizerParams object","code":""},{"path":"https://sizespectrum.org/mizer/reference/matchYields.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Match yields to observations — matchYields","text":"want match yields observations, use matchYield() function mizerExperimental package instead, adjusts catchability match yield rather adjusting biomass. function adjusts abundances species model yearly yields given fishing mortalities match observations. function works multiplying species abundance density sizes factor. course give steady state solution, even initial abundance densities steady state. using function may want use steady() run model steady state, course yields longer match exactly. iterate process. described blog post https://bit.ly/2YqXESV. can use function need added yield_observed column model gives observed yields grams per year.  species observed biomass, set value yield_observed column 0 NA.","code":""},{"path":"https://sizespectrum.org/mizer/reference/matchYields.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Match yields to observations — matchYields","text":"","code":"params <- NS_params species_params(params)$yield_observed <-      c(0.8, 61, 12, 35, 1.6, 20, 10, 7.6, 135, 60, 30, 78) gear_params(params)$catchability <-     c(1.3, 0.065, 0.31, 0.18, 0.98, 0.24, 0.37, 0.46, 0.18, 0.30, 0.27, 0.39) params <- calibrateYield(params) params <- matchYields(params) #> Warning: `matchYields()` was deprecated in mizer 2.6.0. #> ℹ Please use `mizerExperimental::matchYield()` instead. #> ℹ This function has not proven useful. If you do have a use case for it, please #>   let the developers know by creating an issue at #>   https://github.com/sizespectrum/mizer/issues #> The following species are not being fished in your model and their abundances will not be changed: Sprat, Sandeel, N.pout. plotYieldObservedVsModel(params) #> The following species are not being fished in your model and will not be included in the plot: Sprat, Sandeel, N.pout."},{"path":"https://sizespectrum.org/mizer/reference/mizer-package.html","id":null,"dir":"Reference","previous_headings":"","what":"mizer: Multi-species size-based modelling in R — mizer-package","title":"mizer: Multi-species size-based modelling in R — mizer-package","text":"mizer package implements multi-species size-based modelling R. designed modelling marine ecosystems.","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizer-package.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"mizer: Multi-species size-based modelling in R — mizer-package","text":"Using mizer relatively simple.  three main stages: Setting model parameters. done creating object class MizerParams. includes model parameters life history parameters species, range size spectrum. several setup functions help create MizerParams objects particular types models: newSingleSpeciesParams() newCommunityParams() newTraitParams() newMultispeciesParams() Running simulation. done calling project() function model parameters. produces object MizerSim contains results simulation. Exploring results. simulation run, results can explored using range plotting_functions, summary_functions indicator_functions. See mizer website full details principles behind mizer package can used perform size-based modelling.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/mizer-package.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"mizer: Multi-species size-based modelling in R — mizer-package","text":"Maintainer: Gustav Delius gustav.delius@york.ac.uk (ORCID) [copyright holder] Authors: Gustav Delius gustav.delius@york.ac.uk (ORCID) [copyright holder] Finlay Scott drfinlayscott@gmail.com [copyright holder] Julia Blanchard julia.blanchard@utas.edu.au (ORCID) [copyright holder] Ken Andersen kha@aqua.dtu.dk (ORCID) [copyright holder] contributors: Richard Southwell richard.southwell@york.ac.uk [contributor, copyright holder]","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerDiffusion.html","id":null,"dir":"Reference","previous_headings":"","what":"Calculate diffusion rate — mizerDiffusion","title":"Calculate diffusion rate — mizerDiffusion","text":"Calculates diffusion rate \\(D_i(w)\\) (grams^2/year) species. diffusion rate two components: Thethe diffusion due due variability prey sizes. diffusion term jump-growth equation. externally specified diffusion, added via setExtDiffusion() usually call function directly instead use getDiffusion(), calls function unless alternative diffusion rate function registered, see setRateFunction().","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerDiffusion.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Calculate diffusion rate — mizerDiffusion","text":"","code":"projectDiffusion(params, n, n_pp, n_other, t = 0, feeding_level, ...)  # S3 method for class 'MizerParams' projectDiffusion(params, n, n_pp, n_other, t = 0, feeding_level, ...)  mizerDiffusion(params, n, n_pp, n_other, t = 0, feeding_level, ...)"},{"path":"https://sizespectrum.org/mizer/reference/mizerDiffusion.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Calculate diffusion rate — mizerDiffusion","text":"params MizerParams object n matrix species abundances (species x size). n_pp vector resource abundance size n_other list abundances dynamical components t time calculation (used standard mizer rate functions useful extensions.) feeding_level array (species x size) feeding level. provided, calculated given abundances. ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerDiffusion.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Calculate diffusion rate — mizerDiffusion","text":"two dimensional array (species x size) holding diffusion rate.","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerEGrowth.html","id":null,"dir":"Reference","previous_headings":"","what":"Get energy rate available for growth needed to project standard mizer model — mizerEGrowth","title":"Get energy rate available for growth needed to project standard mizer model — mizerEGrowth","text":"Calculates energy rate \\(g_i(w)\\) (grams/year) available species size growth metabolism, movement reproduction accounted . Used project() performing simulations. usually call function directly instead use getEGrowth(), calls function unless alternative function registered, see .","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerEGrowth.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get energy rate available for growth needed to project standard mizer model — mizerEGrowth","text":"","code":"projectEGrowth(params, n, n_pp, n_other, t = 0, e_repro, e, ...)  # S3 method for class 'MizerParams' projectEGrowth(params, n, n_pp, n_other, t = 0, e_repro, e, ...)  mizerEGrowth(params, n, n_pp, n_other, t = 0, e_repro, e, ...)"},{"path":"https://sizespectrum.org/mizer/reference/mizerEGrowth.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get energy rate available for growth needed to project standard mizer model — mizerEGrowth","text":"params MizerParams object n matrix species abundances (species x size). n_pp vector resource abundance size n_other list abundances dynamical components ecosystem t time calculation (used standard mizer rate functions useful extensions time-dependent parameters.) e_repro energy available reproduction calculated getERepro(). e energy available reproduction growth calculated getEReproAndGrowth(). ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerEGrowth.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get energy rate available for growth needed to project standard mizer model — mizerEGrowth","text":"two dimensional array (species x size) growth rates.","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerEGrowth.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Get energy rate available for growth needed to project standard mizer model — mizerEGrowth","text":"growth rate calculated difference energy available reproduction growth (obtainable getEReproAndGrowth()) energy used reproduction (obtainable getERepro()), set 0 result negative.","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerEGrowth.html","id":"your-own-growth-rate-function","dir":"Reference","previous_headings":"","what":"Your own growth rate function","title":"Get energy rate available for growth needed to project standard mizer model — mizerEGrowth","text":"default getEGrowth() calls mizerEGrowth(). However can replace alternative growth rate function. function called \"myEGrowth\" register MizerParams object params   function called instead mizerEGrowth(), arguments.","code":"params <- setRateFunction(params, \"EGrowth\", \"myEGrowth\")"},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/mizerERepro.html","id":null,"dir":"Reference","previous_headings":"","what":"Get energy rate available for reproduction needed to project standard mizer model — mizerERepro","title":"Get energy rate available for reproduction needed to project standard mizer model — mizerERepro","text":"Calculates energy rate (grams/year) available reproduction growth metabolism accounted . usually call function directly instead use getERepro(), calls function unless alternative function registered, see .","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerERepro.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get energy rate available for reproduction needed to project standard mizer model — mizerERepro","text":"","code":"projectERepro(params, n, n_pp, n_other, t = 0, e, ...)  # S3 method for class 'MizerParams' projectERepro(params, n, n_pp, n_other, t = 0, e, ...)  mizerERepro(params, n, n_pp, n_other, t = 0, e, ...)"},{"path":"https://sizespectrum.org/mizer/reference/mizerERepro.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get energy rate available for reproduction needed to project standard mizer model — mizerERepro","text":"params MizerParams object n matrix species abundances (species x size). n_pp vector resource abundance size n_other list abundances dynamical components ecosystem t time calculation (used standard mizer rate functions useful extensions time-dependent parameters.) e two dimensional array (species x size) holding energy available reproduction growth calculated mizerEReproAndGrowth(). ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerERepro.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get energy rate available for reproduction needed to project standard mizer model — mizerERepro","text":"two dimensional array (species x size) holding $$\\psi_i(w)\\max(0, E_{r.}(w))$$ \\(E_{r.}(w)\\) rate energy becomes available growth reproduction, calculated mizerEReproAndGrowth(), \\(\\psi_i(w)\\) proportion energy used reproduction. Negative entries e clipped 0 multiplying \\(\\psi_i(w)\\). proportion taken params object set setReproduction().","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerERepro.html","id":"your-own-reproduction-rate-function","dir":"Reference","previous_headings":"","what":"Your own reproduction rate function","title":"Get energy rate available for reproduction needed to project standard mizer model — mizerERepro","text":"default getERepro() calls mizerERepro(). However can replace alternative reproduction rate function. function called \"myERepro\" register MizerParams object params   function called instead mizerERepro(), arguments.","code":"params <- setRateFunction(params, \"ERepro\", \"myERepro\")"},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/mizerEReproAndGrowth.html","id":null,"dir":"Reference","previous_headings":"","what":"Get energy rate available for reproduction and growth needed to project standard mizer model — mizerEReproAndGrowth","title":"Get energy rate available for reproduction and growth needed to project standard mizer model — mizerEReproAndGrowth","text":"Calculates energy rate \\(E_{r.}(w)\\) (grams/year) available individual species size w reproduction growth metabolism movement accounted . usually call function directly instead use getEReproAndGrowth(), calls function unless alternative function registered, see .","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerEReproAndGrowth.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get energy rate available for reproduction and growth needed to project standard mizer model — mizerEReproAndGrowth","text":"","code":"projectEReproAndGrowth(   params,   n,   n_pp,   n_other,   t = 0,   encounter,   feeding_level,   ... )  # S3 method for class 'MizerParams' projectEReproAndGrowth(   params,   n,   n_pp,   n_other,   t = 0,   encounter,   feeding_level,   ... )  mizerEReproAndGrowth(   params,   n,   n_pp,   n_other,   t = 0,   encounter,   feeding_level,   ... )"},{"path":"https://sizespectrum.org/mizer/reference/mizerEReproAndGrowth.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get energy rate available for reproduction and growth needed to project standard mizer model — mizerEReproAndGrowth","text":"params MizerParams object n matrix species abundances (species x size). n_pp vector resource abundance size n_other list abundances dynamical components ecosystem t time calculation (used standard mizer rate functions useful extensions time-dependent parameters.) encounter array (species x size) encounter rate calculated getEncounter(). feeding_level array (species x size) feeding level calculated getFeedingLevel(). ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerEReproAndGrowth.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get energy rate available for reproduction and growth needed to project standard mizer model — mizerEReproAndGrowth","text":"two dimensional array (species x size) holding $$E_{r.}(w) = \\alpha_i\\, (1 - {\\tt feeding\\_level}_i(w))\\,                            {\\tt encounter}_i(w) - {\\tt metab}_i(w).$$ Due form feeding level, calculated getFeedingLevel(), feeding level nonzero can also expressed $$E_{r.}(w) = \\alpha_i\\, {\\tt feeding\\_level}_i(w)\\,                            h_i(w) - {\\tt metab}_i(w)$$ \\(h_i\\) maximum intake rate, set setMaxIntakeRate(). However function using first equation works also maximum intake rate infinite, .e., satiation. assimilation rate \\(\\alpha_i\\) taken species parameter data frame params. metabolic rate metab taken params set setMetabolicRate(). return value can negative, means energy intake cover cost metabolism movement.","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerEReproAndGrowth.html","id":"your-own-energy-rate-function","dir":"Reference","previous_headings":"","what":"Your own energy rate function","title":"Get energy rate available for reproduction and growth needed to project standard mizer model — mizerEReproAndGrowth","text":"default getEReproAndGrowth() calls mizerEReproAndGrowth(). However can replace alternative energy rate function. function called \"myEReproAndGrowth\" register MizerParams object params   function called instead mizerEReproAndGrowth(), arguments.","code":"params <- setRateFunction(params, \"EReproAndGrowth\", \"myEReproAndGrowth\")"},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/mizerEncounter.html","id":null,"dir":"Reference","previous_headings":"","what":"Get encounter rate during projection — mizerEncounter","title":"Get encounter rate during projection — mizerEncounter","text":"Calculates rate \\(E_i(w)\\) predator species \\(\\) weight \\(w\\) encounters food (grams/year). usually call function directly instead use getEncounter(), calls function unless alternative function registered, see .","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerEncounter.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get encounter rate during projection — mizerEncounter","text":"","code":"projectEncounter(params, n, n_pp, n_other, t = 0, ...)  # S3 method for class 'MizerParams' projectEncounter(params, n, n_pp, n_other, t = 0, ...)  mizerEncounter(params, n, n_pp, n_other, t = 0, ...)"},{"path":"https://sizespectrum.org/mizer/reference/mizerEncounter.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get encounter rate during projection — mizerEncounter","text":"params MizerParams object n matrix species abundances (species x size). n_pp vector resource abundance size n_other list abundances dynamical components ecosystem t time calculation (used standard mizer rate functions useful extensions time-dependent parameters.) ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerEncounter.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get encounter rate during projection — mizerEncounter","text":"named two dimensional array (predator species x predator size) encounter rates.","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerEncounter.html","id":"predation-encounter","dir":"Reference","previous_headings":"","what":"Predation encounter","title":"Get encounter rate during projection — mizerEncounter","text":"encounter rate \\(E_i(w)\\) predator species \\(\\) weight \\(w\\) encounters food contributions encounter fish prey resource. determined summing prey species resource spectrum integrating prey sizes \\(w_p\\), weighted predation kernel \\(\\phi(w,w_p)\\): $$ E_i(w) = \\gamma_i(w) \\int \\left( \\theta_{ip} N_R(w_p) + \\sum_{j} \\theta_{ij} N_j(w_p) \\right) \\phi_i(w,w_p) w_p \\, dw_p. $$ \\(N_j(w)\\) abundance density species \\(j\\) \\(N_R(w)\\) abundance density resource. overall prefactor \\(\\gamma_i(w)\\) determines predation power predator. interpreted search volume set setSearchVolume() function. predation kernel \\(\\phi(w,w_p)\\) set setPredKernel() function. species interaction matrix \\(\\theta_{ij}\\) set setInteraction() resource interaction vector \\(\\theta_{ip}\\) taken interaction_resource column params@species_params.","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerEncounter.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Get encounter rate during projection — mizerEncounter","text":"encounter rate multiplied \\(1-f_0\\) obtain consumption rate, \\(f_0\\) feeding level calculated getFeedingLevel(). used project() function performing simulations. function returns values also sizes outside size-range species. values used, meaningless. model contains additional components added setComponent() specified encounter_fun function encounters components included returned value.","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerEncounter.html","id":"extension-hook","dir":"Reference","previous_headings":"","what":"Extension hook","title":"Get encounter rate during projection — mizerEncounter","text":"projectEncounter() S3 generic used extension-aware projections. Extension packages can add methods marker classes call NextMethod() compose encounter-rate changes. MizerParams method contains standard mizer calculation also exported mizerEncounter() compatibility.","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerEncounter.html","id":"your-own-encounter-function","dir":"Reference","previous_headings":"","what":"Your own encounter function","title":"Get encounter rate during projection — mizerEncounter","text":"default getEncounter() calls mizerEncounter() models without extensions. However can replace alternative encounter function. function called \"myEncounter\" register MizerParams object params   function called instead mizerEncounter(), arguments.","code":"params <- setRateFunction(params, \"Encounter\", \"myEncounter\")"},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/mizerFMort.html","id":null,"dir":"Reference","previous_headings":"","what":"Get the total fishing mortality rate from all fishing gears — mizerFMort","title":"Get the total fishing mortality rate from all fishing gears — mizerFMort","text":"Calculates total fishing mortality  (units 1/year) gears species size. total fishing mortality just sum fishing mortalities imposed gear, \\(\\mu_{f.}(w)=\\sum_g F_{g,,w}\\). usually call function directly instead use getFMort(), calls function unless alternative function registered, see .","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerFMort.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get the total fishing mortality rate from all fishing gears — mizerFMort","text":"","code":"projectFMort(params, n, n_pp, n_other, t = 0, effort, e_growth, pred_mort, ...)  # S3 method for class 'MizerParams' projectFMort(params, n, n_pp, n_other, t = 0, effort, e_growth, pred_mort, ...)  mizerFMort(params, n, n_pp, n_other, t = 0, effort, e_growth, pred_mort, ...)"},{"path":"https://sizespectrum.org/mizer/reference/mizerFMort.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get the total fishing mortality rate from all fishing gears — mizerFMort","text":"params MizerParams object n matrix species abundances (species x size). n_pp vector resource abundance size n_other list abundances dynamical components ecosystem t time calculation (used standard mizer rate functions useful extensions time-dependent parameters.) effort vector effort fishing gear. e_growth array (species x size) energy available growth calculated getEGrowth(). Unused. pred_mort two dimensional array (species x size) predation mortality calculated getPredMort(). Unused. ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerFMort.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get the total fishing mortality rate from all fishing gears — mizerFMort","text":"array (species x size) fishing mortality.","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerFMort.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"Get the total fishing mortality rate from all fishing gears — mizerFMort","text":": fishing mortality = catchability x selectivity x effort.","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerFMort.html","id":"your-own-fishing-mortality-function","dir":"Reference","previous_headings":"","what":"Your own fishing mortality function","title":"Get the total fishing mortality rate from all fishing gears — mizerFMort","text":"default getFMort() calls mizerFMort(). However can replace alternative fishing mortality function. function called \"myFMort\" register MizerParams object params   function called instead mizerFMort(), arguments.","code":"params <- setRateFunction(params, \"FMort\", \"myFMort\")"},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/mizerFMortGear.html","id":null,"dir":"Reference","previous_headings":"","what":"Get the fishing mortality needed to project standard mizer model — mizerFMortGear","title":"Get the fishing mortality needed to project standard mizer model — mizerFMortGear","text":"Calculates fishing mortality rate \\(F_{g,,w}\\) gear, species size. helper function mizerFMort().","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerFMortGear.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get the fishing mortality needed to project standard mizer model — mizerFMortGear","text":"","code":"mizerFMortGear(params, effort)"},{"path":"https://sizespectrum.org/mizer/reference/mizerFMortGear.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get the fishing mortality needed to project standard mizer model — mizerFMortGear","text":"params MizerParams object effort vector effort fishing gear.","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerFMortGear.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get the fishing mortality needed to project standard mizer model — mizerFMortGear","text":"three dimensional array (gear x species x size) fishing mortality.","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerFMortGear.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"Get the fishing mortality needed to project standard mizer model — mizerFMortGear","text":": fishing mortality = catchability x selectivity x effort.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/mizerFeedingLevel.html","id":null,"dir":"Reference","previous_headings":"","what":"Get feeding level needed to project standard mizer model — mizerFeedingLevel","title":"Get feeding level needed to project standard mizer model — mizerFeedingLevel","text":"usually call function directly instead use getFeedingLevel(), calls function unless alternative function registered, see .","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerFeedingLevel.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get feeding level needed to project standard mizer model — mizerFeedingLevel","text":"","code":"projectFeedingLevel(params, n, n_pp, n_other, t = 0, encounter, ...)  # S3 method for class 'MizerParams' projectFeedingLevel(params, n, n_pp, n_other, t = 0, encounter, ...)  mizerFeedingLevel(params, n, n_pp, n_other, t = 0, encounter, ...)"},{"path":"https://sizespectrum.org/mizer/reference/mizerFeedingLevel.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get feeding level needed to project standard mizer model — mizerFeedingLevel","text":"params MizerParams object n matrix species abundances (species x size). n_pp vector resource abundance size n_other list abundances dynamical components ecosystem t time calculation (used standard mizer rate functions useful extensions time-dependent parameters.) encounter two dimensional array (predator species x predator size) encounter rate. ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerFeedingLevel.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get feeding level needed to project standard mizer model — mizerFeedingLevel","text":"two dimensional array (predator species x predator size) feeding level.","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerFeedingLevel.html","id":"feeding-level","dir":"Reference","previous_headings":"","what":"Feeding level","title":"Get feeding level needed to project standard mizer model — mizerFeedingLevel","text":"feeding level \\(f_i(w)\\) proportion maximum intake rate predator actually taking fish. calculated encounter rate \\(E_i\\) maximum intake rate \\(h_i(w)\\) $$f_i(w) = \\frac{E_i(w)}{E_i(w)+h_i(w)}.$$ encounter rate \\(E_i\\) passed argument calculated getEncounter(). maximum intake rate \\(h_i(w)\\) taken params object, set setMaxIntakeRate(). consequence expression feeding level, \\(1-f_i(w)\\) proportion food available predator actually consumes.","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerFeedingLevel.html","id":"your-own-feeding-level-function","dir":"Reference","previous_headings":"","what":"Your own feeding level function","title":"Get feeding level needed to project standard mizer model — mizerFeedingLevel","text":"default getFeedingLevel() calls mizerFeedingLevel(). However can replace alternative feeding level function. function called \"myFeedingLevel\" register MizerParams object params   function called instead mizerFeedingLevel(), arguments.","code":"params <- setRateFunction(params, \"FeedingLevel\", \"myFeedingLevel\")"},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/mizerMort.html","id":null,"dir":"Reference","previous_headings":"","what":"Get total mortality rate needed to project standard mizer model — mizerMort","title":"Get total mortality rate needed to project standard mizer model — mizerMort","text":"Calculates total mortality rate \\(\\mu_i(w)\\)  (units 1/year) species size predation mortality, background mortality fishing mortality. usually call function directly instead use getMort(), calls function unless alternative function registered, see .","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerMort.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get total mortality rate needed to project standard mizer model — mizerMort","text":"","code":"projectMort(params, n, n_pp, n_other, t = 0, f_mort, pred_mort, ...)  # S3 method for class 'MizerParams' projectMort(params, n, n_pp, n_other, t = 0, f_mort, pred_mort, ...)  mizerMort(params, n, n_pp, n_other, t = 0, f_mort, pred_mort, ...)"},{"path":"https://sizespectrum.org/mizer/reference/mizerMort.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get total mortality rate needed to project standard mizer model — mizerMort","text":"params MizerParams object n matrix species abundances (species x size). n_pp vector resource abundance size n_other list abundances dynamical components ecosystem t time calculation (used standard mizer rate functions useful extensions time-dependent parameters.) f_mort two dimensional array (species x size) fishing mortality pred_mort two dimensional array (species x size) predation mortality ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerMort.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get total mortality rate needed to project standard mizer model — mizerMort","text":"named two dimensional array (species x size) total mortality rates.","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerMort.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Get total mortality rate needed to project standard mizer model — mizerMort","text":"model contains additional components added setComponent() specified mort_fun function mortality inflicted components included returned value.","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerMort.html","id":"your-own-mortality-function","dir":"Reference","previous_headings":"","what":"Your own mortality function","title":"Get total mortality rate needed to project standard mizer model — mizerMort","text":"default getMort() calls mizerMort(). However can replace alternative mortality function. function called \"myMort\" register MizerParams object params   function called instead mizerMort(), arguments.","code":"params <- setRateFunction(params, \"Mort\", \"myMort\")"},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/mizerPredMort.html","id":null,"dir":"Reference","previous_headings":"","what":"Get total predation mortality rate needed to project standard mizer model — mizerPredMort","title":"Get total predation mortality rate needed to project standard mizer model — mizerPredMort","text":"Calculates total predation mortality rate \\(\\mu_{p,}(w_p)\\) (units 1/year) prey species prey size: $$\\mu_{p.}(w_p) = \\sum_j {\\tt pred\\_rate}_j(w_p)\\, \\theta_{ji}.$$ usually call function directly instead use getPredMort(), calls function unless alternative function registered, see .","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerPredMort.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get total predation mortality rate needed to project standard mizer model — mizerPredMort","text":"","code":"projectPredMort(params, n, n_pp, n_other, t = 0, pred_rate, ...)  # S3 method for class 'MizerParams' projectPredMort(params, n, n_pp, n_other, t = 0, pred_rate, ...)  mizerPredMort(params, n, n_pp, n_other, t = 0, pred_rate, ...)"},{"path":"https://sizespectrum.org/mizer/reference/mizerPredMort.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get total predation mortality rate needed to project standard mizer model — mizerPredMort","text":"params MizerParams object n matrix species abundances (species x size). n_pp vector resource abundance size n_other list abundances dynamical components ecosystem t time calculation (used standard mizer rate functions useful extensions time-dependent parameters.) pred_rate two dimensional array (predator species x prey size) predation rate, prey size runs fish community plus resource spectrum. ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerPredMort.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get total predation mortality rate needed to project standard mizer model — mizerPredMort","text":"two dimensional array (prey species x prey size) predation mortality","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerPredMort.html","id":"your-own-predation-mortality-function","dir":"Reference","previous_headings":"","what":"Your own predation mortality function","title":"Get total predation mortality rate needed to project standard mizer model — mizerPredMort","text":"default getPredMort() calls mizerPredMort(). However can replace alternative predation mortality function. function called \"myPredMort\" register MizerParams object params   function called instead mizerPredMort(), arguments.","code":"params <- setRateFunction(params, \"PredMort\", \"myPredMort\")"},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/mizerPredRate.html","id":null,"dir":"Reference","previous_headings":"","what":"Get predation rate needed to project standard mizer model — mizerPredRate","title":"Get predation rate needed to project standard mizer model — mizerPredRate","text":"Calculates potential rate (units 1/year) prey individual given size \\(w\\) killed predators species \\(j\\). formulas $${\\tt pred\\_rate}_j(w_p) = \\int \\phi_j(w,w_p) (1-f_j(w))   \\gamma_j(w) N_j(w) \\, dw.$$ potential rate used function mizerPredMort() calculate realised predation mortality rate prey individual. usually call function directly instead use getPredRate(), calls function unless alternative function registered, see .","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerPredRate.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get predation rate needed to project standard mizer model — mizerPredRate","text":"","code":"projectPredRate(params, n, n_pp, n_other, t = 0, feeding_level, ...)  # S3 method for class 'MizerParams' projectPredRate(params, n, n_pp, n_other, t = 0, feeding_level, ...)  mizerPredRate(params, n, n_pp, n_other, t = 0, feeding_level, ...)"},{"path":"https://sizespectrum.org/mizer/reference/mizerPredRate.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get predation rate needed to project standard mizer model — mizerPredRate","text":"params MizerParams object n matrix species abundances (species x size). n_pp vector resource abundance size n_other list abundances dynamical components ecosystem t time calculation (used standard mizer rate functions useful extensions time-dependent parameters.) feeding_level array (species x size) feeding level calculated getFeedingLevel(). ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerPredRate.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get predation rate needed to project standard mizer model — mizerPredRate","text":"named two dimensional array (predator species x prey size) predation rate, prey size runs fish community plus resource spectrum.","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerPredRate.html","id":"your-own-predation-rate-function","dir":"Reference","previous_headings":"","what":"Your own predation rate function","title":"Get predation rate needed to project standard mizer model — mizerPredRate","text":"default getPredRate() calls mizerPredRate(). However can replace alternative predation rate function. function called \"myPredRate\" register MizerParams object params   function called instead mizerPredRate(), arguments.","code":"params <- setRateFunction(params, \"PredRate\", \"myPredRate\")"},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/mizerRDI.html","id":null,"dir":"Reference","previous_headings":"","what":"Get density-independent rate of reproduction needed to project standard mizer model — mizerRDI","title":"Get density-independent rate of reproduction needed to project standard mizer model — mizerRDI","text":"Calculates density-independent rate total egg production \\(R_{di}\\) (units 1/year) density dependence, species. usually call function directly instead use getRDI(), calls function unless alternative function registered, see .","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerRDI.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get density-independent rate of reproduction needed to project standard mizer model — mizerRDI","text":"","code":"projectRDI(params, n, n_pp, n_other, t = 0, e_growth, mort, e_repro, ...)  # S3 method for class 'MizerParams' projectRDI(params, n, n_pp, n_other, t = 0, e_growth, mort, e_repro, ...)  mizerRDI(params, n, n_pp, n_other, t = 0, e_growth, mort, e_repro, ...)"},{"path":"https://sizespectrum.org/mizer/reference/mizerRDI.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get density-independent rate of reproduction needed to project standard mizer model — mizerRDI","text":"params MizerParams object n matrix species abundances (species x size). n_pp vector resource abundance size n_other list abundances dynamical components ecosystem t time calculation (used standard mizer rate functions useful extensions time-dependent parameters.) e_growth array (species x size) energy available growth calculated getEGrowth(). Unused. mort array (species x size) mortality rate calculated getMort(). Unused. e_repro array (species x size) energy available reproduction calculated getERepro(). ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerRDI.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get density-independent rate of reproduction needed to project standard mizer model — mizerRDI","text":"numeric vector rate egg production species.","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerRDI.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Get density-independent rate of reproduction needed to project standard mizer model — mizerRDI","text":"rate obtained taking per capita rate \\(E_r(w)\\psi(w)\\) energy invested reproduction, calculated getERepro(), multiplying number individuals\\(N(w)\\) integrating sizes \\(w\\) multiplying reproductive efficiency \\(\\epsilon\\) dividing egg size w_min, factor two account two sexes: $$R_{di} = \\frac{\\epsilon}{2 w_{min}} \\int N(w)  E_r(w) \\psi(w) \\, dw$$ Used getRDD() calculate actual, density dependent rate. See setReproduction() details.","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerRDI.html","id":"your-own-reproduction-function","dir":"Reference","previous_headings":"","what":"Your own reproduction function","title":"Get density-independent rate of reproduction needed to project standard mizer model — mizerRDI","text":"default getRDI() calls mizerRDI(). However can replace alternative reproduction function. function called \"myRDI\" register MizerParams object params   function called instead mizerRDI(), arguments. example alternative reproduction function see constantEggRDI().","code":"params <- setRateFunction(params, \"RDI\", \"myRDI\")"},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/mizerRates.html","id":null,"dir":"Reference","previous_headings":"","what":"Get all rates needed to project standard mizer model — mizerRates","title":"Get all rates needed to project standard mizer model — mizerRates","text":"Calls rate functions sequence collects results list. projectRates() S3 generic used extension-aware projections calculate rates. Models without extensions keep using mizerRates() directly. base method mirrors mizerRates() calls migrated projection hooks directly, starting projectEncounter().","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerRates.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get all rates needed to project standard mizer model — mizerRates","text":"","code":"mizerRates(params, n, n_pp, n_other, t = 0, effort, rates_fns, ...)  projectRates(params, n, n_pp, n_other, t = 0, effort, rates_fns, ...)"},{"path":"https://sizespectrum.org/mizer/reference/mizerRates.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get all rates needed to project standard mizer model — mizerRates","text":"params MizerParams object n matrix species abundances (species x size). n_pp vector resource abundance size n_other list abundances dynamical components ecosystem t time calculation (used standard mizer rate functions useful extensions time-dependent parameters.) effort effort fishing gear rates_fns Named list functions call calculate rates. Note list holds functions , names. ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerRates.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get all rates needed to project standard mizer model — mizerRates","text":"List rates.","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerRates.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Get all rates needed to project standard mizer model — mizerRates","text":"default function returns list following components: encounter mizerEncounter() feeding_level mizerFeedingLevel() e mizerEReproAndGrowth() e_repro mizerERepro() e_growth mizerEGrowth() pred_rate mizerPredRate() pred_mort mizerPredMort() f_mort mizerFMort() mort mizerMort() rdi mizerRDI() rdd BevertonHoltRDD() resource_mort mizerResourceMort() However can replace rate functions rate function wish, see setRateFunction() details.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/mizerResourceMort.html","id":null,"dir":"Reference","previous_headings":"","what":"Get predation mortality rate for resource needed to project standard mizer model — mizerResourceMort","title":"Get predation mortality rate for resource needed to project standard mizer model — mizerResourceMort","text":"Calculates predation mortality rate \\(\\mu_p(w)\\) resource spectrum resource size (units 1/year). usually call function directly instead use getResourceMort(), calls function unless alternative function registered, see .","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerResourceMort.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get predation mortality rate for resource needed to project standard mizer model — mizerResourceMort","text":"","code":"projectResourceMort(params, n, n_pp, n_other, t = 0, pred_rate, ...)  # S3 method for class 'MizerParams' projectResourceMort(params, n, n_pp, n_other, t = 0, pred_rate, ...)  mizerResourceMort(params, n, n_pp, n_other, t = 0, pred_rate, ...)"},{"path":"https://sizespectrum.org/mizer/reference/mizerResourceMort.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get predation mortality rate for resource needed to project standard mizer model — mizerResourceMort","text":"params MizerParams object n matrix species abundances (species x size). n_pp vector resource abundance size n_other list abundances dynamical components ecosystem t time calculation (used standard mizer rate functions useful extensions time-dependent parameters.) pred_rate two dimensional array (predator species x prey size) predation rate, prey size runs fish community plus resource spectrum. ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerResourceMort.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get predation mortality rate for resource needed to project standard mizer model — mizerResourceMort","text":"vector mortality rate resource size.","code":""},{"path":"https://sizespectrum.org/mizer/reference/mizerResourceMort.html","id":"your-own-resource-mortality-function","dir":"Reference","previous_headings":"","what":"Your own resource mortality function","title":"Get predation mortality rate for resource needed to project standard mizer model — mizerResourceMort","text":"default getResourceMort() calls mizerResourceMort(). However can replace alternative resource mortality function. function called \"myResourceMort\" register MizerParams object params   function called instead mizerResourceMort(), arguments.","code":"params <- setRateFunction(params, \"ResourceMort\", \"myResourceMort\")"},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/needs_upgrading.html","id":null,"dir":"Reference","previous_headings":"","what":"Determine whether a MizerParams or MizerSim object needs to be upgraded — needs_upgrading","title":"Determine whether a MizerParams or MizerSim object needs to be upgraded — needs_upgrading","text":"Looks mizer version used last update object returns TRUE changes since version require upgrade object. usually call function. Upgrades initiated automatically validParams validSim necessary.","code":""},{"path":"https://sizespectrum.org/mizer/reference/needs_upgrading.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Determine whether a MizerParams or MizerSim object needs to be upgraded — needs_upgrading","text":"","code":"needs_upgrading(object)"},{"path":"https://sizespectrum.org/mizer/reference/needs_upgrading.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Determine whether a MizerParams or MizerSim object needs to be upgraded — needs_upgrading","text":"object MizerParams MizerSim object","code":""},{"path":"https://sizespectrum.org/mizer/reference/needs_upgrading.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Determine whether a MizerParams or MizerSim object needs to be upgraded — needs_upgrading","text":"TRUE FALSE","code":""},{"path":"https://sizespectrum.org/mizer/reference/newCommunityParams.html","id":null,"dir":"Reference","previous_headings":"","what":"Set up parameters for a community-type model — newCommunityParams","title":"Set up parameters for a community-type model — newCommunityParams","text":"functions creates MizerParams object describing community-type model. function many arguments, default values.","code":""},{"path":"https://sizespectrum.org/mizer/reference/newCommunityParams.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Set up parameters for a community-type model — newCommunityParams","text":"","code":"newCommunityParams(   max_w = 1e+06,   min_w = 0.001,   no_w = 100,   min_w_pp = 1e-10,   z0 = 0.1,   alpha = 0.2,   f0 = 0.7,   h = 10,   gamma = NA,   beta = 100,   sigma = 2,   n = 2/3,   kappa = 1000,   lambda = 2.05,   r_pp = 10,   knife_edge_size = 1000,   reproduction,   info_level = 2 )"},{"path":"https://sizespectrum.org/mizer/reference/newCommunityParams.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Set up parameters for a community-type model — newCommunityParams","text":"max_w maximum size community. w_max species used represent community set value. min_w minimum size community. no_w number size bins consumer spectrum. min_w_pp smallest size resource spectrum. default set smallest value consumers can feed. z0 background mortality community. alpha assimilation efficiency community. f0 average feeding level individuals feed power-law spectrum. value used calculate search rate parameter gamma. h coefficient maximum food intake rate. gamma Volumetric search rate. Passed newMultispeciesParams(), estimates h, f0, kappa left NA. beta preferred predator prey mass ratio. sigma width prey preference. n allometric growth exponent. Used allometric exponent maximum intake rate community well intrinsic growth rate resource. kappa coefficient initial resource abundance power-law. lambda Used set power-law exponent resource capacity resource_capacity argument given single number. r_pp Growth rate parameter resource spectrum. knife_edge_size size edge knife-edge-selectivity function. reproduction constant reproduction smallest size class community spectrum. default set rate required maintain constructed initial egg abundance. info_level Controls amount information messages shown function sets default values parameters. Higher levels lead messages.","code":""},{"path":"https://sizespectrum.org/mizer/reference/newCommunityParams.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Set up parameters for a community-type model — newCommunityParams","text":"object type MizerParams","code":""},{"path":"https://sizespectrum.org/mizer/reference/newCommunityParams.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Set up parameters for a community-type model — newCommunityParams","text":"community model several features distinguish multi-species model: Species identities individuals ignored. aggregated single community. resource spectrum extends start community spectrum. Reproductive rate constant, independent energy invested reproduction, set 0. Standard metabolism turned (parameter ks set 0). Consequently, growth rate now determined solely assimilated food Fishing selectivity modelled knife-edge function one parameter, knife_edge_size, determines size species selected. resulting MizerParams object can projected forward using project() like MizerParams object. projecting community model may necessary keep small time step size dt around 0.1 avoid instabilities solver. can check numerical instabilities plotting biomass abundance time projection.","code":""},{"path":"https://sizespectrum.org/mizer/reference/newCommunityParams.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Set up parameters for a community-type model — newCommunityParams","text":"K. H. Andersen,J. E. Beyer P. Lundberg, 2009, Trophic individual efficiencies size-structured communities, Proceedings Royal Society, 276, 109-114","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/newCommunityParams.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Set up parameters for a community-type model — newCommunityParams","text":"","code":"params <- newCommunityParams() sim <- project(params, t_max = 10) plotBiomass(sim)  plotSpectra(sim, power = 2)   # More satiation. More mortality params <- newCommunityParams(f0 = 0.8, z0 = 0.4) sim <- project(params, t_max = 10) plotBiomass(sim)  plotSpectra(sim, power = 2)"},{"path":"https://sizespectrum.org/mizer/reference/newMultispeciesParams.html","id":null,"dir":"Reference","previous_headings":"","what":"Set up parameters for a general multispecies model — newMultispeciesParams","title":"Set up parameters for a general multispecies model — newMultispeciesParams","text":"Sets multi-species size spectrum model filling slots MizerParams object based user-provided default parameters. long list arguments, almost sensible default values. required argument species_params data frame. arguments described details sections list.","code":""},{"path":"https://sizespectrum.org/mizer/reference/newMultispeciesParams.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Set up parameters for a general multispecies model — newMultispeciesParams","text":"","code":"newMultispeciesParams(   species_params,   interaction = NULL,   no_w = 100,   min_w = 0.001,   max_w = NA,   min_w_pp = NA,   pred_kernel = NULL,   search_vol = NULL,   intake_max = NULL,   metab = NULL,   p = 0.7,   ext_mort = NULL,   z0pre = 0.6,   z0exp = n - 1,   ext_encounter = NULL,   maturity = NULL,   repro_prop = NULL,   RDD = \"BevertonHoltRDD\",   kappa = 1e+11,   n = 2/3,   resource_rate = 10,   resource_capacity = kappa,   lambda = 2.05,   w_pp_cutoff = 10,   resource_dynamics = \"resource_semichemostat\",   gear_params = NULL,   selectivity = NULL,   catchability = NULL,   initial_effort = NULL,   info_level = 3,   z0 = deprecated(),   r_pp = deprecated() )"},{"path":"https://sizespectrum.org/mizer/reference/newMultispeciesParams.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Set up parameters for a general multispecies model — newMultispeciesParams","text":"species_params data frame species-specific parameter values. interaction Optional interaction matrix species (predator species x prey species). default entries 1. See \"Setting interaction matrix\" section . no_w number size bins consumer spectrum. min_w Sets size eggs species given w_min column species_params dataframe. max_w largest size consumer spectrum. default set largest w_max specified species_params data frame. min_w_pp smallest size resource spectrum. default set smallest value consumers can feed. pred_kernel Optional. array (species x predator size x prey size) holds predation coefficient predator size prey size. supplied, default set described section \"Setting predation kernel\". search_vol Optional. array (species x size) holding search volume species size. supplied, default set described section \"Setting search volume\". intake_max Optional. array (species x size) holding maximum intake rate species size. supplied, default set described section \"Setting maximum intake rate\". metab Optional. array (species x size) holding metabolic rate species size. supplied, default set described section \"Setting metabolic rate\". p allometric metabolic exponent. used metab given explicitly exponent specified p column species_params. ext_mort Optional. array (species x size) holding external mortality rate.  supplied, default set described section \"Setting external mortality rate\". z0pre z0, mortality sources, column species data frame, calculated z0pre * w_max ^ z0exp. Default value 0.6. z0exp z0, mortality sources, column species data frame, calculated z0pre * w_max ^ z0exp. Default value n-1. ext_encounter Optional. array (species x size) holding external encounter rate.  supplied, default calculated E_ext n species parameters described section \"Setting external encounter rate\". maturity Optional. array (species x size) holds proportion individuals species size mature. supplied, default set described section \"Setting reproduction\". repro_prop Optional. array (species x size) holds proportion energy available growth reproduction mature individual allocates reproduction species size. supplied, default set described section \"Setting reproduction\". RDD name function calculating density-dependent reproduction rate density-independent rate. Defaults \"BevertonHoltRDD()\". kappa coefficient initial resource abundance power-law. n allometric growth exponent. can overruled individual species including n column species_params. resource_rate Optional. vector per-capita resource birth rate size class single number giving coefficient power-law rate, see \"Setting resource dynamics\" . Must strictly positive. resource_capacity Optional. Vector resource intrinsic carrying capacities coefficient power-law capacity, see \"Setting resource dynamics\" . resource capacity must smaller resource abundance. lambda Used set power-law exponent resource capacity resource_capacity argument given single number. w_pp_cutoff upper cut size resource spectrum power law used resource_capacity given single number. changing w_pp_cutoff without providing resource_capacity, cutoff can decreased. case, carrying capacity initial resource abundance cut new value. increase cutoff, must also provide resource_capacity extended range. resource_dynamics Optional. Name function determines resource dynamics calculating resource spectrum next time step current state. gear_params data frame gear-specific parameter values. selectivity Optional. array (gear x species x size) holds selectivity gear species size, \\(S_{g,,w}\\). catchability Optional. array (gear x species) holds catchability species gear, \\(Q_{g,}\\). initial_effort Optional. number named numeric vector specifying fishing effort. number, effort used gears. vector, must named gear. info_level Controls amount information messages shown function sets default values parameters. Higher levels lead messages. z0 Use ext_mort instead. confused species_parameter z0. r_pp . Use resource_rate argument instead.","code":""},{"path":"https://sizespectrum.org/mizer/reference/newMultispeciesParams.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Set up parameters for a general multispecies model — newMultispeciesParams","text":"object type MizerParams","code":""},{"path":"https://sizespectrum.org/mizer/reference/newMultispeciesParams.html","id":"species-parameters","dir":"Reference","previous_headings":"","what":"Species parameters","title":"Set up parameters for a general multispecies model — newMultispeciesParams","text":"essential argument data frame contains species parameters. data frame arranged species parameter, column parameter data frame parameter row values parameters one species model. two essential columns must included species parameter data.frame default values: species column hold strings names species w_max column maximum sizes species grams. (alternatively specify maximum length cm l_max column.) species_params dataframe also needs contain parameters needed predation kernel function (size selectivity function). mentioned appropriate sections . species parameters, mizer calculate default values included species parameter data frame. automatically added MizerParams object created. parameters can also specify values species leave entries NA missing values set defaults. species_params data frame saved returned MizerParams object differ one supply missing species parameters filled default values. happy species parameter values used can always change later species_params<-(). parameters mentioned following sections.","code":""},{"path":"https://sizespectrum.org/mizer/reference/newMultispeciesParams.html","id":"setting-initial-values","dir":"Reference","previous_headings":"","what":"Setting initial values","title":"Set up parameters for a general multispecies model — newMultispeciesParams","text":"initial values species number densities set using function get_initial_n(). quite arbitrary close steady state abundances. intend improve future. initial resource number density \\(N_R(w)\\) set power law coefficient kappa (\\(\\kappa\\)) exponent -lambda (\\(-\\lambda\\)): $$N_R(w) = \\kappa\\, w^{-\\lambda}$$ \\(w\\) less w_pp_cutoff zero sizes w_pp_cutoff.","code":""},{"path":"https://sizespectrum.org/mizer/reference/newMultispeciesParams.html","id":"size-grid","dir":"Reference","previous_headings":"","what":"Size grid","title":"Set up parameters for a general multispecies model — newMultispeciesParams","text":"size grid created log-sizes equally spaced. spacing chosen no_w fish size bins, smallest starting min_w largest starting max_w. resource spectrum larger set bins containing additional bins min_w, log size. number extra bins min_w_pp comes lie within smallest bin.","code":""},{"path":"https://sizespectrum.org/mizer/reference/newMultispeciesParams.html","id":"units-in-mizer","dir":"Reference","previous_headings":"","what":"Units in mizer","title":"Set up parameters for a general multispecies model — newMultispeciesParams","text":"Mizer uses grams measure weight, centimetres measure lengths, years measure time. Mizer agnostic whether abundances given numbers per area, numbers per volume total numbers entire study area. make choice convenient application stick . make choice 1 2 also choose unit area volume. choice determine units parameters. mentioned parameters discussed sections . choice also affect units quantities may want calculate model. example, yield grams/year/m^2 case 1 choose m^2 measure area, grams/year/m^3 case 2 choose m^3 unit volume, simply grams/year case 3. comment applies measures, like total biomass, grams/area case 1, grams/volume case 2 simply grams case 3. mizer puts units axes plots, choose units appropriate case 3. example plotBiomass() gives unit grams. can convert choices. example, use case 1, need multiply area ecosystem get total quantity. work case 2, need multiply area thickness productive layer. respect, case 2 bit cumbersome. function scaleModel() useful change units using.","code":""},{"path":"https://sizespectrum.org/mizer/reference/newMultispeciesParams.html","id":"setting-interaction-matrix","dir":"Reference","previous_headings":"","what":"Setting interaction matrix","title":"Set up parameters for a general multispecies model — newMultispeciesParams","text":"need specify interaction matrix. , predator-prey interactions purely determined size predator prey totally independent species predator prey. interaction matrix \\(\\theta_{ij}\\) modifies interaction pair species model. can used example allow different spatial overlap among species. values interaction matrix used scale encountered food predation mortality (see website section predator-prey encounter rate predation mortality). first index refers predator species second prey species. interaction matrix used calculating food encounter rate getEncounter() predation mortality rate getPredMort(). entries dimensionless numbers. values interaction matrix equal predator-prey interactions determined entirely size-preference. function checks supplied interaction matrix valid stores interaction slot params object. order columns rows interaction argument order species params data frame params object. supply named array function check order message different ignoring supplied dimnames. supply column names also used row names. One way creating interaction matrix enter data using spreadsheet program saving .csv file. data can read R using command read.csv(). interaction species resource set via column interaction_resource species_params data frame. default column set 1s.","code":""},{"path":"https://sizespectrum.org/mizer/reference/newMultispeciesParams.html","id":"setting-predation-kernel","dir":"Reference","previous_headings":"","what":"Setting predation kernel","title":"Set up parameters for a general multispecies model — newMultispeciesParams","text":"Kernel dependent predator prey size ratio pred_kernel argument supplied, function sets predation kernel depends ratio predator mass prey mass, two masses independently. shape kernel determined pred_kernel_type column species_params. default pred_kernel_type \"lognormal\". call function lognormal_pred_kernel() calculate predation kernel. alternative pred_kernel type \"box\", implemented function box_pred_kernel(), \"power_law\", implemented function power_law_pred_kernel(). functions require certain species parameters species_params data frame. lognormal kernel beta sigma, box kernel ppmr_min ppmr_max. explained help pages kernel functions. Except beta sigma, defaults set parameters. missing species_params data frame mizer issue error message. can use string pred_kernel_type. example choose \"\" need define function my_pred_kernel can model existing functions like lognormal_pred_kernel(). using kernel depends predator/prey size ratio , mizer need store entire three dimensional array MizerParams object. array can big large number size bins. Instead, mizer needs store two two-dimensional arrays hold Fourier transforms feeding kernel function allow encounter rate predation rate calculated efficiently. However, need full three-dimensional array can calculate getPredKernel() function. Kernel dependent predator prey size want work feeding kernel depends predator mass prey mass independently, can specify full feeding kernel three-dimensional array (predator species x predator size x prey size). use option kernel dependent predator/prey mass ratio appropriate. Using kernel dependent predator/prey mass ratio allows mizer use fast Fourier transform methods significantly reduce running time simulations. order predator species pred_kernel order species params dataframe params object. supply named array function check order warn different.","code":""},{"path":"https://sizespectrum.org/mizer/reference/newMultispeciesParams.html","id":"setting-search-volume","dir":"Reference","previous_headings":"","what":"Setting search volume","title":"Set up parameters for a general multispecies model — newMultispeciesParams","text":"search volume \\(\\gamma_i(w)\\) individual species \\(\\) weight \\(w\\) multiplies predation kernel calculating encounter rate getEncounter() predation rate getPredRate(). name \"search volume\" bit misleading, \\(\\gamma_i(w)\\) units volume. simply parameter determines rate predation. units depend choice, see section \"Units mizer\". chosen work total abundances, rate units 1/year. chosen work abundances per m^2 units m^2/year. chosen work abundances per m^3 units m^3/year. search_vol argument supplied, search volume set $$\\gamma_i(w) = \\gamma_i w^q_i.$$ values \\(\\gamma_i\\) (search volume 1g) \\(q_i\\) (allometric exponent search volume) taken gamma q columns species parameter dataframe. gamma column supplied species parameter dataframe, default calculated get_gamma_default() function. q column supplied, default lambda - 2 + n used. Note predators size \\(w = 1\\) gram value species parameter \\(\\gamma_i\\) value search volume \\(\\gamma_i(w)\\). search_vol slot comment reset = FALSE, recalculation species parameters suppressed message issued recalculated values differ stored ones.","code":""},{"path":"https://sizespectrum.org/mizer/reference/newMultispeciesParams.html","id":"setting-maximum-intake-rate","dir":"Reference","previous_headings":"","what":"Setting maximum intake rate","title":"Set up parameters for a general multispecies model — newMultispeciesParams","text":"maximum intake rate \\(h_i(w)\\) individual species \\(\\) weight \\(w\\) determines feeding level, calculated getFeedingLevel(). measured grams/year. intake_max argument supplied, maximum intake rate set $$h_i(w) = h_i w^{n_i}.$$ values \\(h_i\\) (maximum intake rate individual size 1 gram) \\(n_i\\) (allometric exponent intake rate) taken h n columns species parameter dataframe. h column supplied species parameter dataframe, calculated get_h_default() function. n column supplied, default \\(n_i = 3/4\\) used. \\(h_i\\) set Inf, fish species consume encountered food. intake_max slot comment reset = FALSE, recalculation species parameters suppressed message issued recalculated values differ stored ones.","code":""},{"path":"https://sizespectrum.org/mizer/reference/newMultispeciesParams.html","id":"setting-metabolic-rate","dir":"Reference","previous_headings":"","what":"Setting metabolic rate","title":"Set up parameters for a general multispecies model — newMultispeciesParams","text":"metabolic rate subtracted energy income rate calculate rate energy available growth reproduction, see getEReproAndGrowth(). measured grams/year. metab argument supplied, species metabolic rate \\(k(w)\\) individual size \\(w\\) set $$k(w) = k_s w^p + k w,$$ \\(k_s w^p\\) represents rate standard metabolism \\(k w\\) rate energy expended activity movement. values \\(k_s\\), \\(p\\) \\(k\\) taken ks, p k columns species parameter dataframe. parameters supplied, defaults \\(k = 0\\), \\(p = 3/4\\) $$k_s = f_c h \\alpha w_{mat}^{n-p},$$ \\(f_c\\) critical feeding level taken fc column species parameter data frame. critical feeding level specified, default \\(f_c = 0.2\\) used. metab slot comment reset = FALSE, recalculation species parameters suppressed message issued recalculated values differ stored ones.","code":""},{"path":"https://sizespectrum.org/mizer/reference/newMultispeciesParams.html","id":"setting-external-mortality-rate","dir":"Reference","previous_headings":"","what":"Setting external mortality rate","title":"Set up parameters for a general multispecies model — newMultispeciesParams","text":"external mortality mortality due fishing predation predators included model. external mortality due predation predators explicitly included model (e.g. mammals seabirds) due causes like illness. rate units 1/year. ext_mort argument allows specify external mortality rate depends species body size. can see example Examples section help page setExtMort(). ext_mort argument supplied, external mortality taken species parameters $$\\mu_{ext.}(w) = z_{0.} + z_{ext.} w^{d_i}.$$ value constant \\(z_0\\) species taken z0 column species parameter data frame, column exists. Otherwise calculated $$z_{0.} = {\\tt z0pre}_i\\, w_{inf}^{\\tt z0exp}.$$ Missing values z_ext set 0 missing values d set n - 1.","code":""},{"path":"https://sizespectrum.org/mizer/reference/newMultispeciesParams.html","id":"setting-external-encounter-rate","dir":"Reference","previous_headings":"","what":"Setting external encounter rate","title":"Set up parameters for a general multispecies model — newMultispeciesParams","text":"external encounter rate rate predator encounters food explicitly modelled. rate units mass/year. ext_encounter argument allows specify external encounter rate depends species body size. can see example Examples section help page setExtEncounter(). ext_encounter argument supplied, external encounter rate calculated power law: $$E_{ext.}(w) = E_{ext.}\\, w^{n_i}.$$ coefficient \\(E_{ext.}\\) taken E_ext column species parameter data frame, defaults 0. exponent \\(n_i\\) taken n column species parameter data frame. ext_encounter slot comment reset = FALSE, recalculation species parameters suppressed message issued recalculated values differ stored ones.","code":""},{"path":"https://sizespectrum.org/mizer/reference/newMultispeciesParams.html","id":"setting-external-diffusion-rate","dir":"Reference","previous_headings":"","what":"Setting external diffusion rate","title":"Set up parameters for a general multispecies model — newMultispeciesParams","text":"external diffusion rate allows impose additional diffusion abundance density body size beyond predation-driven diffusion computed mizerDiffusion(). ext_diffusion argument allows specify diffusion rate depends species body size. ext_diffusion argument supplied, external diffusion rate calculated power law: $$D_{ext.}(w) = D_{ext.}\\, w^{n_i+1}.$$ coefficient \\(D_{ext.}\\) taken D_ext column species parameter data frame, defaults 0. exponent \\(n_i + 1\\) uses n column species parameter data frame. ext_diffusion slot comment reset = FALSE, recalculation species parameters suppressed message issued recalculated values differ stored ones.","code":""},{"path":"https://sizespectrum.org/mizer/reference/newMultispeciesParams.html","id":"setting-reproduction","dir":"Reference","previous_headings":"","what":"Setting reproduction","title":"Set up parameters for a general multispecies model — newMultispeciesParams","text":"species size, proportion \\(\\psi\\) available energy invested reproduction product two factors: proportion maturity individuals mature proportion repro_prop energy available mature individual invested reproduction. size w_repro_max energy invested reproduction therefore growth stops. can fish larger w_repro_max. specified w_repro_max column species parameter data frame, maximum size w_max used instead.","code":""},{"path":"https://sizespectrum.org/mizer/reference/newMultispeciesParams.html","id":"maturity-ogive","dir":"Reference","previous_headings":"","what":"Maturity ogive","title":"Set up parameters for a general multispecies model — newMultispeciesParams","text":"proportion individuals mature supplied via maturity argument, set sigmoidal maturity ogive changes 0 1 around maturity size: $${\\tt maturity}(w) = \\left[1+\\left(\\frac{w}{w_{mat}}\\right)^{-U}\\right]^{-1}.$$ (avoid clutter, showing species index equations, although species maturity ogive.) maturity weights taken w_mat column species_params data frame. missing maturity weights set 1/4 maximum weight w_max column. exponent \\(U\\) determines steepness maturity ogive. default chosen \\(U = 10\\), however can overridden including column w_mat25 species parameter dataframe specifies weight 25% individuals mature, sets \\(U = \\log(3) / \\log(w_{mat} / w_{mat25}).\\) sigmoidal function given strictly reach 1 asymptotically. computational simplicity, proportion smaller 1e-8 set 0.","code":""},{"path":"https://sizespectrum.org/mizer/reference/newMultispeciesParams.html","id":"investment-into-reproduction","dir":"Reference","previous_headings":"","what":"Investment into reproduction","title":"Set up parameters for a general multispecies model — newMultispeciesParams","text":"energy available mature individual invested reproduction supplied via repro_prop argument, set allometric form $${\\tt repro\\_prop}(w) =   \\left(\\frac{w}{w_{\\tt{repro\\_max}}}\\right)^{m-n}.$$ \\(n\\) scaling exponent energy income rate. Hence exponent \\(m\\) determines scaling investment reproduction mature individuals. default chosen \\(m = 1\\) rate energy invested reproduction scales linearly size. default can overridden including column m species parameter dataframe. maximum sizes taken w_repro_max column species parameter data frame, exists, otherwise w_max column. total proportion energy invested reproduction individual size \\(w\\) $$\\psi(w) = {\\tt maturity}(w){\\tt repro\\_prop}(w)$$ mizer edition 1, sizes w_repro_max value \\(\\psi\\) additionally forced 1, available energy invested reproduction growth stops. edition 2 forcing applied, \\(\\psi\\) determined entirely maturity ogive reproductive proportion.","code":""},{"path":"https://sizespectrum.org/mizer/reference/newMultispeciesParams.html","id":"reproductive-efficiency","dir":"Reference","previous_headings":"","what":"Reproductive efficiency","title":"Set up parameters for a general multispecies model — newMultispeciesParams","text":"reproductive efficiency \\(\\epsilon\\), .e., proportion energy allocated reproduction results egg biomass, set erepro column species_params data frame. provided, default set 1 (want override). offspring biomass divided egg biomass gives rate egg production, returned getRDI(): $$R_{di} = \\frac{\\epsilon}{2 w_{min}} \\int N(w)  E_r(w) \\psi(w) \\, dw$$","code":""},{"path":"https://sizespectrum.org/mizer/reference/newMultispeciesParams.html","id":"density-dependence","dir":"Reference","previous_headings":"","what":"Density dependence","title":"Set up parameters for a general multispecies model — newMultispeciesParams","text":"stock-recruitment relationship emergent phenomenon mizer, several sources density dependence. Firstly, amount energy invested reproduction depends energy income spawners, density-dependent due competition prey. Secondly, proportion larvae grow recruitment size depends larval mortality, depends density predators, larval growth rate, depends density prey. Finally, encode density dependence stock-recruitment relationship already included two sources density dependence, mizer puts density-independent rate egg production density-dependence function. result returned getRDD(). name density-dependence function specified RDD argument. default Beverton-Holt function BevertonHoltRDD(), requires R_max column species_params data frame giving maximum egg production rate. column exist, initialised Inf, leading density-dependence. functions provided mizer RickerRDD() SheperdRDD() can easily use models writing functions.","code":""},{"path":"https://sizespectrum.org/mizer/reference/newMultispeciesParams.html","id":"setting-fishing","dir":"Reference","previous_headings":"","what":"Setting fishing","title":"Set up parameters for a general multispecies model — newMultispeciesParams","text":"Gears mizer, fishing mortality imposed species fishing gears. total per-capita fishing mortality (1/year) obtained summing mortality gears, $$\\mu_{f.}(w) = \\sum_g F_{g,}(w),$$ fishing mortality \\(F_{g,}(w)\\) imposed gear \\(g\\) species \\(\\) size \\(w\\) calculated : $$F_{g,}(w) = S_{g,}(w) Q_{g,} E_{g},$$ \\(S\\) selectivity species, gear size, \\(Q\\) catchability species gear \\(E\\) fishing effort gear. Selectivity selectivity size gear species saved three dimensional array (gear x species x size). entry range 0 (gear selecting species size) 1 (gear selecting individuals species size). three dimensional array can specified explicitly via selectivity argument, usually mizer calculates gear_params slot MizerParams object. allow calculation selectivity array, gear_params slot must data frame one row gear-species combination. example gear can select three species, gear contributes three rows gear_params data frame, one species can select. data frame must columns gear, holding name gear, species, holding name species, sel_func, holding name function calculates selectivity curve. selectivity functions included package: knife_edge(), sigmoid_length(), double_sigmoid_length(), sigmoid_weight(). Users able write size-based selectivity function. first argument function must w function must return vector selectivity (0 1) size. selectivity function may parameters. Values parameters must included columns gear parameters data.frame. names columns must exactly match names corresponding arguments selectivity function. example, default selectivity function knife_edge() sudden change selectivity 0 1 certain size. help page can see knife_edge() function arguments w knife_edge_size. first argument, w, size (function calculates selectivity size). selectivity functions must w first argument. values arguments must found gear parameters data.frame. knife_edge() function knife_edge_size column. knife_edge() default selectivity function, knife_edge_size argument default value = w_mat. commonly-used selectivity function sigmoid_length(). smooth transition 0 1 certain size. sigmoid_length() function two parameters l50 l25 lengths cm 50% 25% fish selected gear. choose selectivity function l50 l25 columns must included gear parameters data.frame. case species selected one gear, columns gear_params data frame can alternatively provided columns species_params data frame, convenient user set . Mizer copy columns create gear_params data frame creates MizerParams object. However changing columns species parameter data frame later update gear_params data frame. Catchability Catchability used additional factor make link gear selectivity, fishing effort fishing mortality. example, can set effort 1 gives desired fishing mortality. way effort can specified relative 'base effort', e.g. effort particular year. Catchability stored two dimensional array (gear x species). can either provided explicitly via catchability argument, information can provided via catchability column gear_params data frame. case species selected single gear, catchability column can also provided species_params data frame. Mizer copy gear_params data frame MizerParams object created. Effort initial fishing effort stored MizerParams object. supplied, set zero. initial effort can overruled simulation run project(), also possible specify effort varies time.","code":""},{"path":"https://sizespectrum.org/mizer/reference/newMultispeciesParams.html","id":"setting-resource-dynamics","dir":"Reference","previous_headings":"","what":"Setting resource dynamics","title":"Set up parameters for a general multispecies model — newMultispeciesParams","text":"resource_dynamics argument allows choose resource dynamics function. default, mizer uses semichemostat model describe resource dynamics size class independently. semichemostat dynamics implemented function resource_semichemostat(). can change use logistic model implemented resource_logistic() can use resource_constant() keeps resource constant can write function. resource_semichemostat() resource_logistic() dynamics parametrised terms size-dependent birth rate \\(r_R(w)\\) size-dependent capacity \\(c_R\\). help pages functions give details. resource_rate argument can vector (length w_full(params)) specifying intrinsic resource birth rate size class. Alternatively can single number used coefficient power law: intrinsic birth rate \\(r_R(w)\\) size \\(w\\) set $$r_R(w) = r_R w^{n-1}.$$ power-law exponent \\(n\\) taken n argument. resource_capacity argument can vector specifying intrinsic resource carrying capacity size class. Alternatively can single number used coefficient truncated power law: intrinsic carrying capacity \\(c_R(w)\\) size \\(w\\) set $$c_R(w) = c_R\\, w^{-\\lambda}$$ \\(w\\) less w_pp_cutoff zero larger sizes. power-law exponent \\(\\lambda\\) taken lambda argument. values lambda, n w_pp_cutoff stored list resource_params slot MizerParams object can re-used automatically future. list can accessed resource_params().","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/newMultispeciesParams.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Set up parameters for a general multispecies model — newMultispeciesParams","text":"","code":"params <- newMultispeciesParams(NS_species_params) #> Because you have n != p, the default value for `h` is not very good. #> Because the age at maturity is not known, I need to fall back to using #> von Bertalanffy parameters, where available, and this is not reliable. #> No ks column so calculating from critical feeding level. #> Using z0 = z0pre * w_max ^ z0exp for missing z0 values. #> Using f0, h, lambda, kappa and the predation kernel to calculate gamma."},{"path":"https://sizespectrum.org/mizer/reference/newSingleSpeciesParams.html","id":null,"dir":"Reference","previous_headings":"","what":"Set up parameters for a single species in a power-law background — newSingleSpeciesParams","title":"Set up parameters for a single species in a power-law background — newSingleSpeciesParams","text":"functions creates MizerParams object single species. species embedded fixed power-law community spectrum $$N_c(w) = \\kappa w^{-\\lambda}$$ community provides food income species. Cannibalism switched . predation mortality arises predators power-law community assumed predators community feeding parameters foreground species. function many arguments, default values.","code":""},{"path":"https://sizespectrum.org/mizer/reference/newSingleSpeciesParams.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Set up parameters for a single species in a power-law background — newSingleSpeciesParams","text":"","code":"newSingleSpeciesParams(   species_name = \"Target species\",   w_max = 100,   w_min = 0.001,   eta = 10^(-0.6),   w_mat = w_max * eta,   no_w = log10(w_max/w_min) * 20 + 1,   n = 3/4,   p = n,   lambda = 2.05,   kappa = 0.005,   alpha = 0.4,   h = 30,   beta = 100,   sigma = 1.3,   f0 = 0.6,   fc = 0.25,   ks = NA,   gamma = NA,   ext_mort_prop = 0,   reproduction_level = 0,   R_factor = deprecated(),   w_inf = deprecated(),   k_vb = deprecated() )"},{"path":"https://sizespectrum.org/mizer/reference/newSingleSpeciesParams.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Set up parameters for a single species in a power-law background — newSingleSpeciesParams","text":"species_name string name species. used plot legends. w_max Maximum size species w_min Egg size species eta Ratio maturity size w_mat maximum size w_max. Default 10^(-0.6), approximately 1/4. Ignored w_mat supplied explicitly. w_mat Maturity size species. Default value eta * w_max. no_w number size bins community spectrum. bins equally spaced logarithmic scale. Default value 20 bins factor 10 weight. n Scaling exponent maximum intake rate. p Scaling exponent standard metabolic rate. default equal exponent n. lambda Exponent abundance power law. kappa Coefficient abundance power law. alpha assimilation efficiency. h Maximum food intake rate. beta Preferred predator prey mass ratio. sigma Width prey size preference. f0 Expected average feeding level. Used set gamma, coefficient search rate. Ignored gamma given explicitly. fc Critical feeding level. Used determine ks given explicitly. ks Standard metabolism coefficient. provided, default calculated critical feeding level argument fc. gamma Volumetric search rate. provided, default determined get_gamma_default() using value f0. ext_mort_prop proportion total mortality comes external mortality, .e., sources explicitly modelled. number interval [0, 1). reproduction_level number 0 1 determines level density dependence reproduction, see setBevertonHolt(). R_factor Use reproduction_level = 1 / R_factor instead. w_inf argument renamed w_max. k_vb von Bertalanffy growth parameter.","code":""},{"path":"https://sizespectrum.org/mizer/reference/newSingleSpeciesParams.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Set up parameters for a single species in a power-law background — newSingleSpeciesParams","text":"object type MizerParams","code":""},{"path":"https://sizespectrum.org/mizer/reference/newSingleSpeciesParams.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Set up parameters for a single species in a power-law background — newSingleSpeciesParams","text":"addition setting parameters, function also sets initial condition close steady state, assumption fishing. function rounds no_w nearest integer increases necessary least 5 size bins per factor 10 body size. requires w_min < w_mat < w_max, ext_mort_prop [0, 1), positive values n, lambda, kappa, alpha, h, beta, sigma f0, fc 0 f0 fc supplied. gamma supplied f0 ignored. function stops resulting feeding level sufficient maintain species. returned model single foreground species cannibalism switched fixed power-law background community provides food predation mortality. initial species spectrum scaled maximum abundance half background abundance corresponding size, erepro adjusted initial state satisfies egg boundary condition.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/newSingleSpeciesParams.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Set up parameters for a single species in a power-law background — newSingleSpeciesParams","text":"","code":"params <- newSingleSpeciesParams() sim <- project(params, t_max = 5, effort = 0) plotSpectra(sim)"},{"path":"https://sizespectrum.org/mizer/reference/newTraitParams.html","id":null,"dir":"Reference","previous_headings":"","what":"Set up parameters for a trait-based multispecies model — newTraitParams","title":"Set up parameters for a trait-based multispecies model — newTraitParams","text":"functions creates MizerParams object describing trait-based model. simplification general size-based model used mizer species-specific parameters species, except maximum size, considered important trait characterizing species. parameters related maximum size. example, size maturity given w_max * eta, eta species. trait-based model number species important. applications trait-based model see Andersen & Pedersen (2010). See mizer website details examples trait-based model.","code":""},{"path":"https://sizespectrum.org/mizer/reference/newTraitParams.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Set up parameters for a trait-based multispecies model — newTraitParams","text":"","code":"newTraitParams(   no_sp = 11,   min_w_max = 10,   max_w_max = 10^4,   min_w = 10^(-3),   max_w = max_w_max,   eta = 10^(-0.6),   min_w_mat = min_w_max * eta,   no_w = round(log10(max_w_max/min_w) * 20 + 1),   min_w_pp = 1e-10,   w_pp_cutoff = min_w_mat,   n = 2/3,   p = n,   lambda = 2.05,   r_pp = 0.1,   kappa = 0.005,   alpha = 0.4,   h = 40,   beta = 100,   sigma = 1.3,   f0 = 0.6,   fc = 0.25,   ks = NA,   gamma = NA,   ext_mort_prop = 0,   reproduction_level = 1/4,   R_factor = deprecated(),   gear_names = \"knife_edge_gear\",   knife_edge_size = 1000,   egg_size_scaling = FALSE,   resource_scaling = FALSE,   perfect_scaling = FALSE,   min_w_inf = deprecated(),   max_w_inf = deprecated(),   info_level = 2 )"},{"path":"https://sizespectrum.org/mizer/reference/newTraitParams.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Set up parameters for a trait-based multispecies model — newTraitParams","text":"no_sp number species model. min_w_max maximum size smallest species community. rounded lie grid point. max_w_max maximum size largest species community. rounded lie grid point. min_w size egg smallest species. also defines start community size spectrum. max_w largest size model. default set largest maximum size max_w_max. Setting something larger makes sense plan add larger species model later. eta Ratio maturity size maximum size species. Ignored min_w_mat supplied. Default 10^(-0.6), approximately 1/4. min_w_mat maturity size smallest species. Default value eta * min_w_max. rounded lie grid point. no_w number size bins community spectrum. bins equally spaced logarithmic scale. Default value 20 bins factor 10 weight. min_w_pp smallest size resource spectrum. default set smallest value consumers can feed. w_pp_cutoff cutoff used truncating constructed resource spectrum. Resource abundance retained largest grid point value. perfect_scaling = TRUE, constructed initial resource spectrum truncated. n Scaling exponent maximum intake rate. p Scaling exponent standard metabolic rate. default equal exponent n. lambda Exponent abundance power law. r_pp Growth rate parameter resource spectrum. kappa Coefficient abundance power law. alpha assimilation efficiency. h Maximum food intake rate. beta Preferred predator prey mass ratio. sigma Width prey size preference. f0 Expected average feeding level. Used set gamma, coefficient search rate. Ignored gamma given explicitly. fc Critical feeding level. Used determine ks given explicitly. ks Standard metabolism coefficient. provided, default calculated critical feeding level argument fc. gamma Volumetric search rate. provided, default determined get_gamma_default() using value f0. ext_mort_prop proportion total mortality comes external mortality, .e., sources explicitly modelled. number interval [0, 1). reproduction_level number 0 1 determines level density dependence reproduction, see setBevertonHolt(). R_factor Use reproduction_level = 1 / R_factor instead. gear_names names fishing gears species. Either single name used species character vector length no_sp. knife_edge_size minimum size gear gears select fish. Either single value used species vector length no_sp. egg_size_scaling TRUE, egg size constant fraction maximum size species. fraction min_w / min_w_max. FALSE, species egg size w_min. resource_scaling TRUE, carrying capacity larger resource reduced compensate fact fish eggs larvae present size range. perfect_scaling TRUE parameters set community abundance, growth reproduction death perfect power laws. particular scaling corrections turned . min_w_inf argument renamed min_w_max make clearer refers maximum size species von Bertalanffy asymptotic size parameter. max_w_inf argument renamed max_w_max. info_level Controls amount information messages shown. Higher levels lead messages.","code":""},{"path":"https://sizespectrum.org/mizer/reference/newTraitParams.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Set up parameters for a trait-based multispecies model — newTraitParams","text":"object type MizerParams","code":""},{"path":"https://sizespectrum.org/mizer/reference/newTraitParams.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Set up parameters for a trait-based multispecies model — newTraitParams","text":"function many arguments, default values. particular interest user number species model minimum maximum sizes. characteristic weights smallest species defined min_w (egg size), min_w_mat (maturity size) min_w_max (maximum size). maximum sizes no_sp species logarithmically evenly spaced, ranging min_w_max max_w_max. Similarly maturity sizes species logarithmically evenly spaced, ratio eta maturity size maximum size species. egg_size_scaling = TRUE also ratio maximum size egg size species. Otherwise species egg size. addition setting parameters, function also sets initial condition close steady state. search rate coefficient gamma calculated using expected feeding level, f0. option including fishing given, steady state may loose natural stability much fishing included. case user may wish include stabilising effects (like reproduction_level) ensure steady state stable. Fishing selectivity modelled knife-edge function one parameter, knife_edge_size, size species selected. species can either fished gear (knife_edge_size length 1) different gear (length knife_edge_size length number species order selectivity size maximum size). resulting MizerParams object can projected forward using project() like MizerParams object. projecting model may necessary reduce dt 0.1 avoid instabilities solver. can check plotting biomass abundance time projection.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/newTraitParams.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Set up parameters for a trait-based multispecies model — newTraitParams","text":"","code":"params <- newTraitParams() sim <- project(params, t_max = 5, effort = 0) plotSpectra(sim)"},{"path":"https://sizespectrum.org/mizer/reference/noRDD.html","id":null,"dir":"Reference","previous_headings":"","what":"Give density-independent reproduction rate — noRDD","title":"Give density-independent reproduction rate — noRDD","text":"Simply returns rdi argument.","code":""},{"path":"https://sizespectrum.org/mizer/reference/noRDD.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Give density-independent reproduction rate — noRDD","text":"","code":"noRDD(rdi, ...)"},{"path":"https://sizespectrum.org/mizer/reference/noRDD.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Give density-independent reproduction rate — noRDD","text":"rdi Vector density-independent reproduction rates \\(R_{di}\\) species. ... used.","code":""},{"path":"https://sizespectrum.org/mizer/reference/noRDD.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Give density-independent reproduction rate — noRDD","text":"Vector density-dependent reproduction rates.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/objectExtensions.html","id":null,"dir":"Reference","previous_headings":"","what":"Get the extension chain stored in a mizer object — objectExtensions","title":"Get the extension chain stored in a mizer object — objectExtensions","text":"Get extension chain stored mizer object","code":""},{"path":"https://sizespectrum.org/mizer/reference/objectExtensions.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get the extension chain stored in a mizer object — objectExtensions","text":"","code":"objectExtensions(object)"},{"path":"https://sizespectrum.org/mizer/reference/objectExtensions.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get the extension chain stored in a mizer object — objectExtensions","text":"object MizerParams MizerSim object.","code":""},{"path":"https://sizespectrum.org/mizer/reference/objectExtensions.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get the extension chain stored in a mizer object — objectExtensions","text":"named character vector extensions, empty character vector object carries extensions.","code":""},{"path":"https://sizespectrum.org/mizer/reference/plot.html","id":null,"dir":"Reference","previous_headings":"","what":"Plotting outputs — plot","title":"Plotting outputs — plot","text":"Many mizer functions return values depend species either size time. plot() creates ggplot2 figure one line species showing values size time (depending type output). ggplotly() creates interactive version figure.","code":""},{"path":"https://sizespectrum.org/mizer/reference/plot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plotting outputs — plot","text":"","code":"# S3 method for class 'ArraySpeciesBySize' plot(   x,   species = NULL,   all.sizes = FALSE,   highlight = NULL,   return_data = FALSE,   log_x = TRUE,   log_y = FALSE,   wlim = c(NA, NA),   ylim = c(NA, NA),   total = FALSE,   background = TRUE,   y_ticks = 6,   ... )  # S3 method for class 'ArraySpeciesBySize' ggplotly(x, ...)  # S3 method for class 'ArraySpeciesByTime' plot(   x,   species = NULL,   start_time = NULL,   end_time = NULL,   y_ticks = 6,   ylim = c(NA, NA),   total = FALSE,   background = TRUE,   highlight = NULL,   log_y = TRUE,   return_data = FALSE,   ... )  # S3 method for class 'ArraySpeciesByTime' ggplotly(x, ...)"},{"path":"https://sizespectrum.org/mizer/reference/plot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plotting outputs — plot","text":"x ArraySpeciesBySize ArraySpeciesByTime object. species Character vector species include. NULL (default) means species. .sizes FALSE (default), values outside species' size range (w_min w_max) removed. applies ArraySpeciesBySize. highlight Name vector names species highlighted. return_data TRUE, return data frame instead plot. log_x TRUE (default), use log10 x-axis. applies ArraySpeciesBySize. log_y TRUE, use log10 y-axis. Default FALSE ArraySpeciesBySize TRUE ArraySpeciesByTime. wlim numeric vector length two providing lower upper limits weight (x) axis. Use NA refer existing minimum maximum. applies ArraySpeciesBySize. ylim numeric vector length two providing lower upper limits value (y) axis. Use NA refer existing minimum maximum. total boolean value determines whether total selected species plotted well. Default FALSE. background boolean value determines whether background species included. Ignored model contain background species. Default TRUE. y_ticks approximate number ticks desired y axis. ... arguments (currently unused). start_time first time plotted. Default (NULL) beginning time series. applies ArraySpeciesByTime. end_time last time plotted. Default (NULL) end time series. applies ArraySpeciesByTime.","code":""},{"path":"https://sizespectrum.org/mizer/reference/plot.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plotting outputs — plot","text":"plot() returns ggplot2 object, unless return_data = TRUE, case data frame returned. ggplotly() returns plotly object.","code":""},{"path":"https://sizespectrum.org/mizer/reference/plot.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Plotting outputs — plot","text":"works mizer functions give values depend species size return ArraySpeciesBySize object give values depend species time return ArraySpeciesByTime object. objects attributes store name value, units, reference MizerParams object value computed . allows plots automatically labelled coloured appropriately.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/plot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plotting outputs — plot","text":"","code":"# \\donttest{ plot(getEncounter(NS_params))  plot(getFeedingLevel(NS_params), species = c(\"Cod\", \"Herring\"))  # } # \\donttest{ ggplotly(getEncounter(NS_params))  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2.823725e+02<br />value: 4.846912e+03<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe\",\"Species: Saithe<br />w: 3.369726e+02<br />value: 5.808273e+03<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe\",\"Species: Saithe<br />w: 4.021302e+02<br />value: 6.954434e+03<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe\",\"Species: Saithe<br />w: 4.798868e+02<br />value: 8.311746e+03<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe\",\"Species: Saithe<br />w: 5.726786e+02<br />value: 9.906357e+03<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe\",\"Species: Saithe<br />w: 6.834128e+02<br />value: 1.176279e+04<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe\",\"Species: Saithe<br />w: 8.155588e+02<br />value: 1.390231e+04<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe\",\"Species: Saithe<br />w: 9.732567e+02<br />value: 1.634112e+04<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe\",\"Species: Saithe<br />w: 1.161447e+03<br />value: 1.908882e+04<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe\",\"Species: Saithe<br />w: 1.386027e+03<br />value: 2.214683e+04<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe\",\"Species: Saithe<br />w: 1.654032e+03<br />value: 2.550747e+04<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe\",\"Species: Saithe<br />w: 1.973858e+03<br />value: 2.915375e+04<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe\",\"Species: Saithe<br />w: 2.355527e+03<br />value: 3.306057e+04<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe\",\"Species: Saithe<br />w: 2.810996e+03<br />value: 3.719718e+04<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe\",\"Species: Saithe<br />w: 3.354536e+03<br />value: 4.153158e+04<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe\",\"Species: Saithe<br />w: 4.003175e+03<br />value: 4.603705e+04<br />Legend: Saithe<br />Legend: Saithe<br />Legend: 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/>Legend: Saithe\",\"Species: Saithe<br />w: 1.964961e+04<br />value: 1.067692e+05<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe\",\"Species: Saithe<br />w: 2.344909e+04<br />value: 1.208765e+05<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe\",\"Species: Saithe<br />w: 2.798325e+04<br />value: 1.385071e+05<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe\",\"Species: Saithe<br />w: 3.339415e+04<br />value: 1.605061e+05<br />Legend: Saithe<br />Legend: Saithe<br />Legend: 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[g]\",\"font\":{\"color\":\"rgba(0,0,0,1)\",\"family\":\"\",\"size\":14.611872146118724}},\"hoverformat\":\".2f\"},\"yaxis\":{\"domain\":[0,1],\"automargin\":true,\"type\":\"linear\",\"autorange\":false,\"range\":[-21845.601693115423,458762.74760541564],\"tickmode\":\"array\",\"ticktext\":[\"0\",\"1e+05\",\"2e+05\",\"3e+05\",\"4e+05\"],\"tickvals\":[0,100000,200000,300000,400000],\"categoryorder\":\"array\",\"categoryarray\":[\"0\",\"1e+05\",\"2e+05\",\"3e+05\",\"4e+05\"],\"nticks\":null,\"ticks\":\"outside\",\"tickcolor\":\"rgba(51,51,51,1)\",\"ticklen\":3.6529680365296811,\"tickwidth\":0.66417600664176002,\"showticklabels\":true,\"tickfont\":{\"color\":\"rgba(77,77,77,1)\",\"family\":\"\",\"size\":11.68949771689498},\"tickangle\":-0,\"showline\":false,\"linecolor\":null,\"linewidth\":0,\"showgrid\":true,\"gridcolor\":\"rgba(255,255,255,1)\",\"gridwidth\":0.66417600664176002,\"zeroline\":false,\"anchor\":\"x\",\"title\":{\"text\":\"Encounter rate [g/year]\",\"font\":{\"color\":\"rgba(0,0,0,1)\",\"family\":\"\",\"size\":14.611872146118724}},\"hoverformat\":\".2f\"},\"shapes\":[],\"showlegend\":true,\"legend\":{\"bgcolor\":\"rgba(255,255,255,1)\",\"bordercolor\":\"transparent\",\"borderwidth\":1.8897637795275593,\"font\":{\"color\":\"rgba(0,0,0,1)\",\"family\":\"\",\"size\":11.68949771689498},\"title\":{\"text\":\"Legend\",\"font\":{\"color\":\"rgba(0,0,0,1)\",\"family\":\"\",\"size\":14.611872146118724}}},\"hovermode\":\"closest\",\"barmode\":\"relative\"},\"config\":{\"doubleClick\":\"reset\",\"modeBarButtonsToAdd\":[\"hoverclosest\",\"hovercompare\"],\"showSendToCloud\":false},\"source\":\"A\",\"attrs\":{\"240f6232edd7c\":{\"x\":{},\"y\":{},\"colour\":{},\"linetype\":{},\"linewidth\":{},\"type\":\"scatter\"}},\"cur_data\":\"240f6232edd7c\",\"visdat\":{\"240f6232edd7c\":[\"function (y) \",\"x\"]},\"highlight\":{\"on\":\"plotly_click\",\"persistent\":false,\"dynamic\":false,\"selectize\":false,\"opacityDim\":0.20000000000000001,\"selected\":{\"opacity\":1},\"debounce\":0},\"shinyEvents\":[\"plotly_hover\",\"plotly_click\",\"plotly_selected\",\"plotly_relayout\",\"plotly_brushed\",\"plotly_brushing\",\"plotly_clickannotation\",\"plotly_doubleclick\",\"plotly_deselect\",\"plotly_afterplot\",\"plotly_sunburstclick\"],\"base_url\":\"https://plot.ly\"},\"evals\":[],\"jsHooks\":[]}# } # \\donttest{ plot(getBiomass(NS_sim))  plot(getBiomass(NS_sim), species = c(\"Cod\", \"Herring\"), total = TRUE)  plot(getYield(NS_sim), species = c(\"Cod\", \"Herring\"))  # } # \\donttest{ ggplotly(getBiomass(NS_sim))  {\"x\":{\"data\":[{\"x\":[1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010],\"y\":[10.706174656400414,10.745844626663066,10.738902625712008,10.725668242450958,10.713011878779657,10.697335824202748,10.706202549056917,10.705625190979097,10.710031595858137,10.725438907807101,10.72920134826629,10.726249178007899,10.732065813857888,10.744874994606485,10.752379210720511,10.746878302030311,10.74998739465093,10.551591977021985,10.421639693064099,10.318776189932246,10.27403497376735,10.280964968355638,10.353309594592067,10.371208000787874,10.391848426161788,10.379639074890221,10.365059985371026,10.372599225012236,10.351959771568577,10.405301405033951,10.479622576837757,10.502386625041137,10.580677692726908,10.546599473834249,10.523167781709212,10.571946207924883,10.54504251179241,10.592907016569786,10.629935160506911,10.677998841810256,10.62090335044039,10.63386797395412,10.602618195582776,10.55842570529442],\"text\":[\"Species: Sprat<br />Year: 1967<br />Biomass: 5.083638e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat\",\"Species: Sprat<br />Year: 1968<br />Biomass: 5.569864e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat\",\"Species: Sprat<br />Year: 1969<br />Biomass: 5.481540e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat\",\"Species: Sprat<br />Year: 1970<br />Biomass: 5.317019e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat\",\"Species: Sprat<br />Year: 1971<br />Biomass: 5.164305e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat\",\"Species: Sprat<br />Year: 1972<br />Biomass: 4.981221e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat\",\"Species: Sprat<br />Year: 1973<br />Biomass: 5.083965e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat\",\"Species: Sprat<br />Year: 1974<br />Biomass: 5.077211e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat\",\"Species: Sprat<br />Year: 1975<br />Biomass: 5.128987e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat\",\"Species: Sprat<br />Year: 1976<br />Biomass: 5.314212e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat\",\"Species: Sprat<br />Year: 1977<br />Biomass: 5.360451e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat\",\"Species: Sprat<br />Year: 1978<br />Biomass: 5.324136e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat\",\"Species: Sprat<br />Year: 1979<br />Biomass: 5.395924e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat\",\"Species: Sprat<br />Year: 1980<br />Biomass: 5.557443e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat\",\"Species: Sprat<br />Year: 1981<br />Biomass: 5.654305e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat\",\"Species: Sprat<br />Year: 1982<br />Biomass: 5.583137e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat\",\"Species: Sprat<br />Year: 1983<br />Biomass: 5.623250e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat\",\"Species: Sprat<br />Year: 1984<br />Biomass: 3.561164e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat\",\"Species: Sprat<br />Year: 1985<br />Biomass: 2.640217e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat\",\"Species: Sprat<br />Year: 1986<br />Biomass: 2.083417e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat\",\"Species: Sprat<br />Year: 1987<br />Biomass: 1.879468e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat\",\"Species: Sprat<br />Year: 1988<br />Biomass: 1.909699e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat\",\"Species: Sprat<br />Year: 1989<br />Biomass: 2.255847e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat\",\"Species: Sprat<br />Year: 1990<br />Biomass: 2.350758e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat\",\"Species: Sprat<br />Year: 1991<br />Biomass: 2.465179e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat\",\"Species: Sprat<br />Year: 1992<br />Biomass: 2.396840e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat\",\"Species: Sprat<br />Year: 1993<br />Biomass: 2.317715e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat\",\"Species: Sprat<br />Year: 1994<br />Biomass: 2.358301e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat\",\"Species: Sprat<br />Year: 1995<br />Biomass: 2.248846e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat\",\"Species: Sprat<br />Year: 1996<br />Biomass: 2.542737e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat\",\"Species: Sprat<br />Year: 1997<br />Biomass: 3.017328e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat\",\"Species: Sprat<br />Year: 1998<br />Biomass: 3.179704e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat\",\"Species: Sprat<br />Year: 1999<br />Biomass: 3.807831e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat\",\"Species: Sprat<br />Year: 2000<br />Biomass: 3.520460e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat\",\"Species: Sprat<br />Year: 2001<br />Biomass: 3.335553e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat\",\"Species: Sprat<br />Year: 2002<br />Biomass: 3.732039e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat\",\"Species: Sprat<br />Year: 2003<br />Biomass: 3.507862e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat\",\"Species: Sprat<br />Year: 2004<br />Biomass: 3.916580e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat\",\"Species: Sprat<br />Year: 2005<br />Biomass: 4.265158e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat\",\"Species: Sprat<br />Year: 2006<br />Biomass: 4.764297e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat\",\"Species: Sprat<br />Year: 2007<br />Biomass: 4.177374e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat\",\"Species: Sprat<br />Year: 2008<br />Biomass: 4.303957e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat\",\"Species: Sprat<br />Year: 2009<br />Biomass: 4.005145e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat\",\"Species: Sprat<br />Year: 2010<br />Biomass: 3.617643e+10<br />Legend: Sprat<br />Legend: Sprat<br />Legend: Sprat\"],\"type\":\"scatter\",\"mode\":\"lines\",\"line\":{\"width\":3.0236220472440949,\"color\":\"rgba(129,95,0,1)\",\"dash\":\"solid\"},\"hoveron\":\"points\",\"name\":\"Sprat\",\"legendgroup\":\"Sprat\",\"showlegend\":true,\"xaxis\":\"x\",\"yaxis\":\"y\",\"hoverinfo\":\"text\",\"frame\":null},{\"x\":[1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010],\"y\":[12.562574715099824,12.572585309611618,12.567561792814953,12.550224834264975,12.543126661475073,12.538080483961169,12.540768320609217,12.544395089743665,12.544623601174063,12.544634754388833,12.547601288704927,12.543169027156178,12.54300381220745,12.550933610918506,12.561621425014046,12.563527045079589,12.563048431863141,12.34164702038443,12.193223558888288,12.115879568214458,12.05543900808655,12.077317407813041,11.986574808890429,11.942451968714341,11.980086045954518,12.023117568177007,12.049457457719988,12.097837851426199,12.137228895220053,12.144213023060631,12.141870173774247,12.077838622656467,12.03789244413764,11.945959433383296,11.898096863188686,11.865861482918223,11.881553078790059,11.942463991013817,11.923253596657853,12.065047819826706,12.117838998357358,12.161604364727731,12.157552091158241,12.171813761744303],\"text\":[\"Species: Sandeel<br />Year: 1967<br />Biomass: 3.652370e+12<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel\",\"Species: Sandeel<br />Year: 1968<br />Biomass: 3.737535e+12<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel\",\"Species: Sandeel<br />Year: 1969<br />Biomass: 3.694552e+12<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel\",\"Species: Sandeel<br />Year: 1970<br />Biomass: 3.549971e+12<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel\",\"Species: Sandeel<br />Year: 1971<br />Biomass: 3.492422e+12<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel\",\"Species: Sandeel<br />Year: 1972<br />Biomass: 3.452077e+12<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel\",\"Species: Sandeel<br />Year: 1973<br />Biomass: 3.473508e+12<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel\",\"Species: Sandeel<br />Year: 1974<br />Biomass: 3.502637e+12<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel\",\"Species: Sandeel<br />Year: 1975<br />Biomass: 3.504480e+12<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel\",\"Species: Sandeel<br />Year: 1976<br />Biomass: 3.504570e+12<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel\",\"Species: Sandeel<br />Year: 1977<br />Biomass: 3.528591e+12<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel\",\"Species: Sandeel<br />Year: 1978<br />Biomass: 3.492762e+12<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel\",\"Species: Sandeel<br />Year: 1979<br />Biomass: 3.491434e+12<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel\",\"Species: Sandeel<br />Year: 1980<br />Biomass: 3.555770e+12<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel\",\"Species: Sandeel<br />Year: 1981<br />Biomass: 3.644361e+12<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel\",\"Species: Sandeel<br />Year: 1982<br />Biomass: 3.660387e+12<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel\",\"Species: Sandeel<br />Year: 1983<br />Biomass: 3.656356e+12<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel\",\"Species: Sandeel<br />Year: 1984<br />Biomass: 2.196074e+12<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel\",\"Species: Sandeel<br />Year: 1985<br />Biomass: 1.560356e+12<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel\",\"Species: Sandeel<br />Year: 1986<br />Biomass: 1.305809e+12<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel\",\"Species: Sandeel<br />Year: 1987<br />Biomass: 1.136159e+12<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel\",\"Species: Sandeel<br />Year: 1988<br />Biomass: 1.194861e+12<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel\",\"Species: Sandeel<br />Year: 1989<br />Biomass: 9.695603e+11<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel\",\"Species: Sandeel<br />Year: 1990<br />Biomass: 8.758948e+11<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel\",\"Species: Sandeel<br />Year: 1991<br />Biomass: 9.551818e+11<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel\",\"Species: Sandeel<br />Year: 1992<br />Biomass: 1.054672e+12<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel\",\"Species: Sandeel<br />Year: 1993<br />Biomass: 1.120618e+12<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel\",\"Species: Sandeel<br />Year: 1994<br />Biomass: 1.252673e+12<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel\",\"Species: Sandeel<br />Year: 1995<br />Biomass: 1.371604e+12<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel\",\"Species: Sandeel<br />Year: 1996<br />Biomass: 1.393840e+12<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel\",\"Species: Sandeel<br />Year: 1997<br />Biomass: 1.386341e+12<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel\",\"Species: Sandeel<br />Year: 1998<br />Biomass: 1.196296e+12<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel\",\"Species: Sandeel<br />Year: 1999<br />Biomass: 1.091170e+12<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel\",\"Species: Sandeel<br />Year: 2000<br />Biomass: 8.829974e+11<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel\",\"Species: Sandeel<br />Year: 2001<br />Biomass: 7.908550e+11<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel\",\"Species: Sandeel<br />Year: 2002<br />Biomass: 7.342796e+11<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel\",\"Species: Sandeel<br />Year: 2003<br />Biomass: 7.612952e+11<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel\",\"Species: Sandeel<br />Year: 2004<br />Biomass: 8.759191e+11<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel\",\"Species: Sandeel<br />Year: 2005<br />Biomass: 8.380185e+11<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel\",\"Species: Sandeel<br />Year: 2006<br />Biomass: 1.161577e+12<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel\",\"Species: Sandeel<br />Year: 2007<br />Biomass: 1.311714e+12<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel\",\"Species: Sandeel<br />Year: 2008<br />Biomass: 1.450789e+12<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel\",\"Species: Sandeel<br />Year: 2009<br />Biomass: 1.437315e+12<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel\",\"Species: Sandeel<br />Year: 2010<br />Biomass: 1.485299e+12<br />Legend: Sandeel<br />Legend: Sandeel<br />Legend: Sandeel\"],\"type\":\"scatter\",\"mode\":\"lines\",\"line\":{\"width\":3.0236220472440949,\"color\":\"rgba(98,55,226,1)\",\"dash\":\"solid\"},\"hoveron\":\"points\",\"name\":\"Sandeel\",\"legendgroup\":\"Sandeel\",\"showlegend\":true,\"xaxis\":\"x\",\"yaxis\":\"y\",\"hoverinfo\":\"text\",\"frame\":null},{\"x\":[1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010],\"y\":[11.568011595202766,11.594366692171507,11.549493137080772,11.565589909662043,11.577394693095878,11.555182521615533,11.578739183181703,11.568826077562234,11.567389712938311,11.567508935692896,11.566542578199885,11.55806391446322,11.564480636362612,11.565740389835009,11.566574114896483,11.5543478848082,11.564511962969533,11.474068663778517,11.414650016326535,11.402780731143325,11.435514698392387,11.435634649801401,11.471709609220918,11.456659694105074,11.462054428185635,11.448138615557934,11.449204178922599,11.449535336403349,11.438235904854341,11.466235694875136,11.491284010479671,11.474261265364532,11.5059604921448,11.477385659183364,11.470751188699797,11.491959888049786,11.466660626148922,11.488628531735536,11.508830059995274,11.53705211896569,11.52099319318974,11.528224415988015,11.513018302385399,11.498146010039434],\"text\":[\"Species: N.pout<br />Year: 1967<br />Biomass: 3.698381e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout\",\"Species: N.pout<br />Year: 1968<br />Biomass: 3.929766e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout\",\"Species: N.pout<br />Year: 1969<br />Biomass: 3.543995e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout\",\"Species: N.pout<br />Year: 1970<br />Biomass: 3.677815e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout\",\"Species: N.pout<br />Year: 1971<br />Biomass: 3.779155e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout\",\"Species: N.pout<br />Year: 1972<br />Biomass: 3.590728e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout\",\"Species: N.pout<br />Year: 1973<br />Biomass: 3.790873e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout\",\"Species: N.pout<br />Year: 1974<br />Biomass: 3.705323e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout\",\"Species: N.pout<br />Year: 1975<br />Biomass: 3.693088e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout\",\"Species: N.pout<br />Year: 1976<br />Biomass: 3.694102e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout\",\"Species: N.pout<br />Year: 1977<br />Biomass: 3.685892e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout\",\"Species: N.pout<br />Year: 1978<br />Biomass: 3.614631e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout\",\"Species: N.pout<br />Year: 1979<br />Biomass: 3.668433e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout\",\"Species: N.pout<br />Year: 1980<br />Biomass: 3.679090e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout\",\"Species: N.pout<br />Year: 1981<br />Biomass: 3.686159e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout\",\"Species: N.pout<br />Year: 1982<br />Biomass: 3.583834e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout\",\"Species: N.pout<br />Year: 1983<br />Biomass: 3.668698e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout\",\"Species: N.pout<br />Year: 1984<br />Biomass: 2.978987e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout\",\"Species: N.pout<br />Year: 1985<br />Biomass: 2.598065e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout\",\"Species: N.pout<br />Year: 1986<br />Biomass: 2.528021e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout\",\"Species: N.pout<br />Year: 1987<br />Biomass: 2.725930e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout\",\"Species: N.pout<br />Year: 1988<br />Biomass: 2.726683e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout\",\"Species: N.pout<br />Year: 1989<br />Biomass: 2.962850e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout\",\"Species: N.pout<br />Year: 1990<br />Biomass: 2.861935e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout\",\"Species: N.pout<br />Year: 1991<br />Biomass: 2.897707e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout\",\"Species: N.pout<br />Year: 1992<br />Biomass: 2.806329e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout\",\"Species: N.pout<br />Year: 1993<br />Biomass: 2.813223e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout\",\"Species: N.pout<br />Year: 1994<br />Biomass: 2.815369e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout\",\"Species: N.pout<br />Year: 1995<br />Biomass: 2.743064e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout\",\"Species: N.pout<br />Year: 1996<br />Biomass: 2.925740e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout\",\"Species: N.pout<br />Year: 1997<br />Biomass: 3.099446e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout\",\"Species: N.pout<br />Year: 1998<br />Biomass: 2.980309e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout\",\"Species: N.pout<br />Year: 1999<br />Biomass: 3.205978e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout\",\"Species: N.pout<br />Year: 2000<br />Biomass: 3.001827e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout\",\"Species: N.pout<br />Year: 2001<br />Biomass: 2.956318e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout\",\"Species: N.pout<br />Year: 2002<br />Biomass: 3.104273e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout\",\"Species: N.pout<br />Year: 2003<br />Biomass: 2.928604e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout\",\"Species: N.pout<br />Year: 2004<br />Biomass: 3.080552e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout\",\"Species: N.pout<br />Year: 2005<br />Biomass: 3.227231e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout\",\"Species: N.pout<br />Year: 2006<br />Biomass: 3.443913e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout\",\"Species: N.pout<br />Year: 2007<br />Biomass: 3.318893e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout\",\"Species: N.pout<br />Year: 2008<br />Biomass: 3.374616e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout\",\"Species: N.pout<br />Year: 2009<br />Biomass: 3.258504e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout\",\"Species: N.pout<br />Year: 2010<br />Biomass: 3.148807e+11<br />Legend: N.pout<br />Legend: N.pout<br />Legend: N.pout\"],\"type\":\"scatter\",\"mode\":\"lines\",\"line\":{\"width\":3.0236220472440949,\"color\":\"rgba(141,166,0,1)\",\"dash\":\"solid\"},\"hoveron\":\"points\",\"name\":\"N.pout\",\"legendgroup\":\"N.pout\",\"showlegend\":true,\"xaxis\":\"x\",\"yaxis\":\"y\",\"hoverinfo\":\"text\",\"frame\":null},{\"x\":[1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010],\"y\":[11.719603812684481,11.606257165004381,11.453002677934274,11.406280175598772,11.40143448478257,11.338891277201943,11.440436127176433,11.414398386153049,11.411026719540045,11.348266568536591,11.332909443723208,11.41245499627691,11.588464681612903,11.683942171732701,11.695377214042757,11.676045035418834,11.687369211237868,11.693146461721874,11.67253208104793,11.610847515344526,11.608824071803499,11.612822327773429,11.616427986778294,11.627265365208533,11.643835105113908,11.634174202562757,11.614017792764697,11.58114129076268,11.568174069547059,11.554771093657097,11.611032425380651,11.632797192410871,11.634549330087625,11.669875659316261,11.684209610481169,11.68495334070546,11.679314373738864,11.669247389717446,11.65020483557573,11.633633580807386,11.632141254530513,11.619355850362442,11.608648184365398,11.61089871295496],\"text\":[\"Species: Herring<br />Year: 1967<br />Biomass: 5.243289e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring\",\"Species: Herring<br />Year: 1968<br />Biomass: 4.038845e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring\",\"Species: Herring<br />Year: 1969<br />Biomass: 2.837937e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring\",\"Species: Herring<br />Year: 1970<br />Biomass: 2.548474e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring\",\"Species: Herring<br />Year: 1971<br />Biomass: 2.520197e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring\",\"Species: Herring<br />Year: 1972<br />Biomass: 2.182184e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring\",\"Species: Herring<br />Year: 1973<br />Biomass: 2.756996e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring\",\"Species: Herring<br />Year: 1974<br />Biomass: 2.596560e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring\",\"Species: Herring<br />Year: 1975<br />Biomass: 2.576480e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring\",\"Species: Herring<br />Year: 1976<br />Biomass: 2.229803e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring\",\"Species: Herring<br />Year: 1977<br />Biomass: 2.152333e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring\",\"Species: Herring<br />Year: 1978<br />Biomass: 2.584967e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring\",\"Species: Herring<br />Year: 1979<br />Biomass: 3.876722e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring\",\"Species: Herring<br />Year: 1980<br />Biomass: 4.829945e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring\",\"Species: Herring<br />Year: 1981<br />Biomass: 4.958807e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring\",\"Species: Herring<br />Year: 1982<br />Biomass: 4.742912e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring\",\"Species: Herring<br />Year: 1983<br />Biomass: 4.868209e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring\",\"Species: Herring<br />Year: 1984<br />Biomass: 4.933402e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring\",\"Species: Herring<br />Year: 1985<br />Biomass: 4.704702e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring\",\"Species: Herring<br />Year: 1986<br />Biomass: 4.081760e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring\",\"Species: Herring<br />Year: 1987<br />Biomass: 4.062787e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring\",\"Species: Herring<br />Year: 1988<br />Biomass: 4.100363e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring\",\"Species: Herring<br />Year: 1989<br />Biomass: 4.134548e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring\",\"Species: Herring<br />Year: 1990<br />Biomass: 4.239019e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring\",\"Species: Herring<br />Year: 1991<br />Biomass: 4.403876e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring\",\"Species: Herring<br />Year: 1992<br />Biomass: 4.306993e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring\",\"Species: Herring<br />Year: 1993<br />Biomass: 4.111666e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring\",\"Species: Herring<br />Year: 1994<br />Biomass: 3.811898e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring\",\"Species: Herring<br />Year: 1995<br />Biomass: 3.699764e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring\",\"Species: Herring<br />Year: 1996<br />Biomass: 3.587328e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring\",\"Species: Herring<br />Year: 1997<br />Biomass: 4.083499e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring\",\"Species: Herring<br />Year: 1998<br />Biomass: 4.293359e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring\",\"Species: Herring<br />Year: 1999<br />Biomass: 4.310715e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring\",\"Species: Herring<br />Year: 2000<br />Biomass: 4.676012e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring\",\"Species: Herring<br />Year: 2001<br />Biomass: 4.832920e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring\",\"Species: Herring<br />Year: 2002<br />Biomass: 4.841204e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring\",\"Species: Herring<br />Year: 2003<br />Biomass: 4.778751e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring\",\"Species: Herring<br />Year: 2004<br />Biomass: 4.669253e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring\",\"Species: Herring<br />Year: 2005<br />Biomass: 4.468943e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring\",\"Species: Herring<br />Year: 2006<br />Biomass: 4.301635e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring\",\"Species: Herring<br />Year: 2007<br />Biomass: 4.286879e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring\",\"Species: Herring<br />Year: 2008<br />Biomass: 4.162515e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring\",\"Species: Herring<br />Year: 2009<br />Biomass: 4.061142e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring\",\"Species: Herring<br />Year: 2010<br />Biomass: 4.082242e+11<br />Legend: Herring<br />Legend: Herring<br />Legend: Herring\"],\"type\":\"scatter\",\"mode\":\"lines\",\"line\":{\"width\":3.0236220472440949,\"color\":\"rgba(222,83,255,1)\",\"dash\":\"solid\"},\"hoveron\":\"points\",\"name\":\"Herring\",\"legendgroup\":\"Herring\",\"showlegend\":true,\"xaxis\":\"x\",\"yaxis\":\"y\",\"hoverinfo\":\"text\",\"frame\":null},{\"x\":[1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010],\"y\":[10.079195576957916,10.115679506469309,10.193534290397814,10.242147037808179,10.237424203335737,10.210247434722991,10.187019628716421,10.175747702471016,10.17245037689452,10.170489462666923,10.179942052012763,10.180854266840665,10.18307145446691,10.182729737438894,10.197488603348232,10.214128566922337,10.23094938406555,10.244639099327589,10.246380191479325,10.237178264717201,10.223655295201707,10.217612688213345,10.221888165735024,10.232978030240918,10.241551785633915,10.23765598806691,10.231134176705726,10.223946875330306,10.226156710519932,10.230362827957666,10.239091598725802,10.242519980111465,10.253460079713948,10.27182775120008,10.290802529406342,10.278949582930293,10.267904253980557,10.252520705832143,10.24429788563994,10.239533942212013,10.228301067434009,10.204140425623772,10.170259834580822,10.129003934800366],\"text\":[\"Species: Dab<br />Year: 1967<br />Biomass: 1.200040e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab\",\"Species: Dab<br />Year: 1968<br />Biomass: 1.305207e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab\",\"Species: Dab<br />Year: 1969<br />Biomass: 1.561472e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab\",\"Species: Dab<br />Year: 1970<br />Biomass: 1.746413e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab\",\"Species: Dab<br />Year: 1971<br />Biomass: 1.727524e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab\",\"Species: Dab<br />Year: 1972<br />Biomass: 1.622734e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab\",\"Species: Dab<br />Year: 1973<br />Biomass: 1.538224e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab\",\"Species: Dab<br />Year: 1974<br />Biomass: 1.498814e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab\",\"Species: Dab<br />Year: 1975<br />Biomass: 1.487477e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab\",\"Species: Dab<br />Year: 1976<br />Biomass: 1.480776e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab\",\"Species: Dab<br />Year: 1977<br />Biomass: 1.513359e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab\",\"Species: Dab<br />Year: 1978<br />Biomass: 1.516541e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab\",\"Species: Dab<br />Year: 1979<br />Biomass: 1.524304e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab\",\"Species: Dab<br />Year: 1980<br />Biomass: 1.523105e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab\",\"Species: Dab<br />Year: 1981<br />Biomass: 1.575755e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab\",\"Species: Dab<br />Year: 1982<br />Biomass: 1.637301e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab\",\"Species: Dab<br />Year: 1983<br />Biomass: 1.701960e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab\",\"Species: Dab<br />Year: 1984<br />Biomass: 1.756463e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab\",\"Species: Dab<br />Year: 1985<br />Biomass: 1.763519e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab\",\"Species: Dab<br />Year: 1986<br />Biomass: 1.726546e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab\",\"Species: Dab<br />Year: 1987<br />Biomass: 1.673614e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab\",\"Species: Dab<br />Year: 1988<br />Biomass: 1.650489e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab\",\"Species: Dab<br />Year: 1989<br />Biomass: 1.666818e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab\",\"Species: Dab<br />Year: 1990<br />Biomass: 1.709929e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab\",\"Species: Dab<br />Year: 1991<br />Biomass: 1.744021e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab\",\"Species: Dab<br />Year: 1992<br />Biomass: 1.728447e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab\",\"Species: Dab<br />Year: 1993<br />Biomass: 1.702684e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab\",\"Species: Dab<br />Year: 1994<br />Biomass: 1.674738e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab\",\"Species: Dab<br />Year: 1995<br />Biomass: 1.683281e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab\",\"Species: Dab<br />Year: 1996<br />Biomass: 1.699663e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab\",\"Species: Dab<br />Year: 1997<br />Biomass: 1.734170e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab\",\"Species: Dab<br />Year: 1998<br />Biomass: 1.747914e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab\",\"Species: Dab<br />Year: 1999<br />Biomass: 1.792504e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab\",\"Species: Dab<br />Year: 2000<br />Biomass: 1.869940e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab\",\"Species: Dab<br />Year: 2001<br />Biomass: 1.953451e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab\",\"Species: Dab<br />Year: 2002<br />Biomass: 1.900858e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab\",\"Species: Dab<br />Year: 2003<br />Biomass: 1.853123e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab\",\"Species: Dab<br />Year: 2004<br />Biomass: 1.788631e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab\",\"Species: Dab<br />Year: 2005<br />Biomass: 1.755084e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab\",\"Species: Dab<br />Year: 2006<br />Biomass: 1.735937e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab\",\"Species: Dab<br />Year: 2007<br />Biomass: 1.691613e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab\",\"Species: Dab<br />Year: 2008<br />Biomass: 1.600075e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab\",\"Species: Dab<br />Year: 2009<br />Biomass: 1.479994e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab\",\"Species: Dab<br />Year: 2010<br />Biomass: 1.345873e+10<br />Legend: Dab<br />Legend: Dab<br />Legend: Dab\"],\"type\":\"scatter\",\"mode\":\"lines\",\"line\":{\"width\":3.0236220472440949,\"color\":\"rgba(14,67,0,1)\",\"dash\":\"solid\"},\"hoveron\":\"points\",\"name\":\"Dab\",\"legendgroup\":\"Dab\",\"showlegend\":true,\"xaxis\":\"x\",\"yaxis\":\"y\",\"hoverinfo\":\"text\",\"frame\":null},{\"x\":[1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010],\"y\":[11.327429475234027,11.307020751433905,11.356152128115891,11.324822689193084,11.313022851508647,11.328124744364107,11.297423155635103,11.317554422310105,11.316994957088212,11.302860319079036,11.319359133924051,11.314023311772402,11.308911004954124,11.319389123904216,11.332197756158608,11.360473073216019,11.38128836881088,11.367854809257938,11.362176377995876,11.349248692770196,11.312497252919323,11.314211260304583,11.3028743632652,11.318370305103731,11.300974021439178,11.322978745712893,11.337204840337662,11.336810066691321,11.310083452811437,11.311280868367295,11.324018923582837,11.353878800654201,11.370097419605079,11.370724299963555,11.350604210823517,11.377597784940818,11.403639892330078,11.409156229770039,11.407527431428232,11.415954522396124,11.402874239309124,11.394022289814714,11.373401593803154,11.369966080732627],\"text\":[\"Species: Whiting<br />Year: 1967<br />Biomass: 2.125345e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting\",\"Species: Whiting<br />Year: 1968<br />Biomass: 2.027780e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting\",\"Species: Whiting<br />Year: 1969<br />Biomass: 2.270660e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting\",\"Species: Whiting<br />Year: 1970<br />Biomass: 2.112626e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting\",\"Species: Whiting<br />Year: 1971<br />Biomass: 2.055999e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting\",\"Species: Whiting<br />Year: 1972<br />Biomass: 2.128750e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting\",\"Species: Whiting<br />Year: 1973<br />Biomass: 1.983459e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting\",\"Species: Whiting<br />Year: 1974<br />Biomass: 2.077564e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting\",\"Species: Whiting<br />Year: 1975<br />Biomass: 2.074889e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting\",\"Species: Whiting<br />Year: 1976<br />Biomass: 2.008447e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting\",\"Species: Whiting<br />Year: 1977<br />Biomass: 2.086215e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting\",\"Species: Whiting<br />Year: 1978<br />Biomass: 2.060741e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting\",\"Species: Whiting<br />Year: 1979<br />Biomass: 2.036625e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting\",\"Species: Whiting<br />Year: 1980<br />Biomass: 2.086359e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting\",\"Species: Whiting<br />Year: 1981<br />Biomass: 2.148809e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting\",\"Species: Whiting<br />Year: 1982<br />Biomass: 2.293364e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting\",\"Species: Whiting<br />Year: 1983<br />Biomass: 2.405960e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting\",\"Species: Whiting<br />Year: 1984<br />Biomass: 2.332678e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting\",\"Species: Whiting<br />Year: 1985<br />Biomass: 2.302377e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting\",\"Species: Whiting<br />Year: 1986<br />Biomass: 2.234852e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting\",\"Species: Whiting<br />Year: 1987<br />Biomass: 2.053512e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting\",\"Species: Whiting<br />Year: 1988<br />Biomass: 2.061633e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting\",\"Species: Whiting<br />Year: 1989<br />Biomass: 2.008512e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting\",\"Species: Whiting<br />Year: 1990<br />Biomass: 2.081471e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting\",\"Species: Whiting<br />Year: 1991<br />Biomass: 1.999742e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting\",\"Species: Whiting<br />Year: 1992<br />Biomass: 2.103675e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting\",\"Species: Whiting<br />Year: 1993<br />Biomass: 2.173726e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting\",\"Species: Whiting<br />Year: 1994<br />Biomass: 2.171751e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting\",\"Species: Whiting<br />Year: 1995<br />Biomass: 2.042130e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting\",\"Species: Whiting<br />Year: 1996<br />Biomass: 2.047769e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting\",\"Species: Whiting<br />Year: 1997<br />Biomass: 2.108720e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting\",\"Species: Whiting<br />Year: 1998<br />Biomass: 2.258805e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting\",\"Species: Whiting<br />Year: 1999<br />Biomass: 2.344755e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting\",\"Species: Whiting<br />Year: 2000<br />Biomass: 2.348142e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting\",\"Species: Whiting<br />Year: 2001<br />Biomass: 2.241838e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting\",\"Species: Whiting<br />Year: 2002<br />Biomass: 2.385601e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting\",\"Species: Whiting<br />Year: 2003<br />Biomass: 2.533027e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting\",\"Species: Whiting<br />Year: 2004<br />Biomass: 2.565407e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting\",\"Species: Whiting<br />Year: 2005<br />Biomass: 2.555803e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting\",\"Species: Whiting<br />Year: 2006<br />Biomass: 2.605881e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting\",\"Species: Whiting<br />Year: 2007<br />Biomass: 2.528566e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting\",\"Species: Whiting<br />Year: 2008<br />Biomass: 2.477549e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting\",\"Species: Whiting<br />Year: 2009<br />Biomass: 2.362662e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting\",\"Species: Whiting<br />Year: 2010<br />Biomass: 2.344046e+11<br />Legend: Whiting<br />Legend: Whiting<br />Legend: Whiting\"],\"type\":\"scatter\",\"mode\":\"lines\",\"line\":{\"width\":3.0236220472440949,\"color\":\"rgba(67,0,121,1)\",\"dash\":\"solid\"},\"hoveron\":\"points\",\"name\":\"Whiting\",\"legendgroup\":\"Whiting\",\"showlegend\":true,\"xaxis\":\"x\",\"yaxis\":\"y\",\"hoverinfo\":\"text\",\"frame\":null},{\"x\":[1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010],\"y\":[11.107210075787277,11.041928244506073,11.038771783840859,11.033521915090983,11.048759619800414,11.008978925889135,10.994769064308677,10.981052260387996,10.982333768744754,10.984987905236764,11.009389012060128,11.016385844611392,11.014253457421946,11.014420019071791,11.031676243742238,11.036077651268192,11.030747018055305,11.041442793567805,11.005978118370061,10.980216764424462,10.971768516303866,10.997209110988861,11.003173366425003,11.043729456764821,11.067868929959252,11.076703949398807,11.083521387853317,11.061246198830686,11.035702387253888,11.032592910930376,10.99658773841279,11.004169908158307,11.00724571252619,11.030991642790308,11.032744299371977,11.032381847719028,11.023857689779287,11.013569574863656,11.025304636881618,11.012218272323164,11.02755662571284,11.02027738340929,11.027734185442236,11.018082630917018],\"text\":[\"Species: Sole<br />Year: 1967<br />Biomass: 1.280000e+11<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole\",\"Species: Sole<br />Year: 1968<br />Biomass: 1.101357e+11<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole\",\"Species: Sole<br />Year: 1969<br />Biomass: 1.093382e+11<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole\",\"Species: Sole<br />Year: 1970<br />Biomass: 1.080244e+11<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole\",\"Species: Sole<br />Year: 1971<br />Biomass: 1.118818e+11<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole\",\"Species: Sole<br />Year: 1972<br />Biomass: 1.020890e+11<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole\",\"Species: Sole<br />Year: 1973<br />Biomass: 9.880276e+10<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole\",\"Species: Sole<br />Year: 1974<br />Biomass: 9.573093e+10<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole\",\"Species: Sole<br />Year: 1975<br />Biomass: 9.601382e+10<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole\",\"Species: Sole<br />Year: 1976<br />Biomass: 9.660240e+10<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole\",\"Species: Sole<br />Year: 1977<br />Biomass: 1.021854e+11<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole\",\"Species: Sole<br />Year: 1978<br />Biomass: 1.038451e+11<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole\",\"Species: Sole<br />Year: 1979<br />Biomass: 1.033364e+11<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole\",\"Species: Sole<br />Year: 1980<br />Biomass: 1.033761e+11<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole\",\"Species: Sole<br />Year: 1981<br />Biomass: 1.075663e+11<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole\",\"Species: Sole<br />Year: 1982<br />Biomass: 1.086620e+11<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole\",\"Species: Sole<br />Year: 1983<br />Biomass: 1.073364e+11<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole\",\"Species: Sole<br />Year: 1984<br />Biomass: 1.100127e+11<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole\",\"Species: Sole<br />Year: 1985<br />Biomass: 1.013860e+11<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole\",\"Species: Sole<br />Year: 1986<br />Biomass: 9.554694e+10<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole\",\"Species: Sole<br />Year: 1987<br />Biomass: 9.370624e+10<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole\",\"Species: Sole<br />Year: 1988<br />Biomass: 9.935943e+10<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole\",\"Species: Sole<br />Year: 1989<br />Biomass: 1.007334e+11<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole\",\"Species: Sole<br />Year: 1990<br />Biomass: 1.105935e+11<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole\",\"Species: Sole<br />Year: 1991<br />Biomass: 1.169146e+11<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole\",\"Species: Sole<br />Year: 1992<br />Biomass: 1.193174e+11<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole\",\"Species: Sole<br />Year: 1993<br />Biomass: 1.212052e+11<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole\",\"Species: Sole<br />Year: 1994<br />Biomass: 1.151453e+11<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole\",\"Species: Sole<br />Year: 1995<br />Biomass: 1.085681e+11<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole\",\"Species: Sole<br />Year: 1996<br />Biomass: 1.077936e+11<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole\",\"Species: Sole<br />Year: 1997<br />Biomass: 9.921738e+10<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole\",\"Species: Sole<br />Year: 1998<br />Biomass: 1.009648e+11<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole\",\"Species: Sole<br />Year: 1999<br />Biomass: 1.016824e+11<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole\",\"Species: Sole<br />Year: 2000<br />Biomass: 1.073969e+11<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole\",\"Species: Sole<br />Year: 2001<br />Biomass: 1.078312e+11<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole\",\"Species: Sole<br />Year: 2002<br />Biomass: 1.077412e+11<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole\",\"Species: Sole<br />Year: 2003<br />Biomass: 1.056471e+11<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole\",\"Species: Sole<br />Year: 2004<br />Biomass: 1.031738e+11<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole\",\"Species: Sole<br />Year: 2005<br />Biomass: 1.059997e+11<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole\",\"Species: Sole<br />Year: 2006<br />Biomass: 1.028533e+11<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole\",\"Species: Sole<br />Year: 2007<br />Biomass: 1.065508e+11<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole\",\"Species: Sole<br />Year: 2008<br />Biomass: 1.047798e+11<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole\",\"Species: Sole<br />Year: 2009<br />Biomass: 1.065943e+11<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole\",\"Species: Sole<br />Year: 2010<br />Biomass: 1.042516e+11<br />Legend: Sole<br />Legend: Sole<br />Legend: Sole\"],\"type\":\"scatter\",\"mode\":\"lines\",\"line\":{\"width\":3.0236220472440949,\"color\":\"rgba(108,170,114,1)\",\"dash\":\"solid\"},\"hoveron\":\"points\",\"name\":\"Sole\",\"legendgroup\":\"Sole\",\"showlegend\":true,\"xaxis\":\"x\",\"yaxis\":\"y\",\"hoverinfo\":\"text\",\"frame\":null},{\"x\":[1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010],\"y\":[11.052726198159707,11.089196124515182,11.101112459991421,11.11662358250485,11.120529982265365,11.101399536966888,11.103800429341129,11.103490449951666,11.103933338606454,11.107678482823784,11.11092586377648,11.109860697930673,11.109390019009254,11.110051434067721,11.111152786831106,11.10492317273809,11.106942946481027,11.123945163808489,11.136635385650255,11.142989744524057,11.161271724649158,11.158968790749789,11.160423545041017,11.163579173076121,11.151986253929921,11.143305198616115,11.141269485526369,11.13444651644256,11.134588773489966,11.126879457012242,11.12232455246707,11.116611640535385,11.113721357138113,11.122417431387799,11.121488514997992,11.110394061208092,11.093628449027346,11.079252253362966,11.068863038642927,11.063853650438357,11.066841170735824,11.053432104191794,11.038994149744829,11.02829498562588],\"text\":[\"Species: Gurnard<br />Year: 1967<br />Biomass: 1.129084e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard\",\"Species: Gurnard<br />Year: 1968<br />Biomass: 1.227994e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard\",\"Species: Gurnard<br />Year: 1969<br />Biomass: 1.262154e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard\",\"Species: Gurnard<br />Year: 1970<br />Biomass: 1.308048e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard\",\"Species: Gurnard<br />Year: 1971<br />Biomass: 1.319866e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard\",\"Species: Gurnard<br />Year: 1972<br />Biomass: 1.262989e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard\",\"Species: Gurnard<br />Year: 1973<br />Biomass: 1.269990e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard\",\"Species: Gurnard<br />Year: 1974<br />Biomass: 1.269084e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard\",\"Species: Gurnard<br />Year: 1975<br />Biomass: 1.270379e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard\",\"Species: Gurnard<br />Year: 1976<br />Biomass: 1.281382e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard\",\"Species: Gurnard<br />Year: 1977<br />Biomass: 1.290999e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard\",\"Species: Gurnard<br />Year: 1978<br />Biomass: 1.287836e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard\",\"Species: Gurnard<br />Year: 1979<br />Biomass: 1.286441e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard\",\"Species: Gurnard<br />Year: 1980<br />Biomass: 1.288402e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard\",\"Species: Gurnard<br />Year: 1981<br />Biomass: 1.291674e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard\",\"Species: Gurnard<br />Year: 1982<br />Biomass: 1.273278e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard\",\"Species: Gurnard<br />Year: 1983<br />Biomass: 1.279213e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard\",\"Species: Gurnard<br />Year: 1984<br />Biomass: 1.330286e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard\",\"Species: Gurnard<br />Year: 1985<br />Biomass: 1.369731e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard\",\"Species: Gurnard<br />Year: 1986<br />Biomass: 1.389920e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard\",\"Species: Gurnard<br />Year: 1987<br />Biomass: 1.449679e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard\",\"Species: Gurnard<br />Year: 1988<br />Biomass: 1.442012e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard\",\"Species: Gurnard<br />Year: 1989<br />Biomass: 1.446850e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard\",\"Species: Gurnard<br />Year: 1990<br />Biomass: 1.457401e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard\",\"Species: Gurnard<br />Year: 1991<br />Biomass: 1.419013e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard\",\"Species: Gurnard<br />Year: 1992<br />Biomass: 1.390930e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard\",\"Species: Gurnard<br />Year: 1993<br />Biomass: 1.384425e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard\",\"Species: Gurnard<br />Year: 1994<br />Biomass: 1.362845e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard\",\"Species: Gurnard<br />Year: 1995<br />Biomass: 1.363292e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard\",\"Species: Gurnard<br />Year: 1996<br />Biomass: 1.339305e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard\",\"Species: Gurnard<br />Year: 1997<br />Biomass: 1.325332e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard\",\"Species: Gurnard<br />Year: 1998<br />Biomass: 1.308012e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard\",\"Species: Gurnard<br />Year: 1999<br />Biomass: 1.299336e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard\",\"Species: Gurnard<br />Year: 2000<br />Biomass: 1.325615e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard\",\"Species: Gurnard<br />Year: 2001<br />Biomass: 1.322783e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard\",\"Species: Gurnard<br />Year: 2002<br />Biomass: 1.289419e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard\",\"Species: Gurnard<br />Year: 2003<br />Biomass: 1.240590e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard\",\"Species: Gurnard<br />Year: 2004<br />Biomass: 1.200196e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard\",\"Species: Gurnard<br />Year: 2005<br />Biomass: 1.171826e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard\",\"Species: Gurnard<br />Year: 2006<br />Biomass: 1.158387e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard\",\"Species: Gurnard<br />Year: 2007<br />Biomass: 1.166383e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard\",\"Species: Gurnard<br />Year: 2008<br />Biomass: 1.130921e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard\",\"Species: Gurnard<br />Year: 2009<br />Biomass: 1.093942e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard\",\"Species: Gurnard<br />Year: 2010<br />Biomass: 1.067321e+11<br />Legend: Gurnard<br />Legend: Gurnard<br />Legend: Gurnard\"],\"type\":\"scatter\",\"mode\":\"lines\",\"line\":{\"width\":3.0236220472440949,\"color\":\"rgba(238,0,83,1)\",\"dash\":\"solid\"},\"hoveron\":\"points\",\"name\":\"Gurnard\",\"legendgroup\":\"Gurnard\",\"showlegend\":true,\"xaxis\":\"x\",\"yaxis\":\"y\",\"hoverinfo\":\"text\",\"frame\":null},{\"x\":[1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010],\"y\":[12.357357114060205,12.325515916408358,12.361789526684873,12.403671434813013,12.398004937981046,12.399909628355358,12.398726879245437,12.393441606881842,12.383610220382534,12.368818559412379,12.382124032460695,12.380172681132048,12.38122070687449,12.350033386827089,12.349261427441839,12.356442694316128,12.352900909066918,12.354840847450662,12.352258732432636,12.357118234457854,12.341654099094329,12.321499305842035,12.315713252036655,12.322526841972177,12.334710471062188,12.325089342279053,12.320701610630225,12.315771596011251,12.31842600221041,12.317081017712892,12.31437077509263,12.295357163212437,12.290154531712936,12.30320070698675,12.342671284389015,12.316974300565091,12.321929758308231,12.323185903843186,12.3414226548526,12.367590730711331,12.39080648418723,12.40789563176876,12.426147667144793,12.440319098027556],\"text\":[\"Species: Plaice<br />Year: 1967<br />Biomass: 2.276969e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice\",\"Species: Plaice<br />Year: 1968<br />Biomass: 2.116001e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice\",\"Species: Plaice<br />Year: 1969<br />Biomass: 2.300327e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice\",\"Species: Plaice<br />Year: 1970<br />Biomass: 2.533211e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice\",\"Species: Plaice<br />Year: 1971<br />Biomass: 2.500374e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice\",\"Species: Plaice<br />Year: 1972<br />Biomass: 2.511364e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice\",\"Species: Plaice<br />Year: 1973<br />Biomass: 2.504534e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice\",\"Species: Plaice<br />Year: 1974<br />Biomass: 2.474239e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice\",\"Species: Plaice<br />Year: 1975<br />Biomass: 2.418857e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice\",\"Species: Plaice<br />Year: 1976<br />Biomass: 2.337860e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice\",\"Species: Plaice<br />Year: 1977<br />Biomass: 2.410594e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice\",\"Species: Plaice<br />Year: 1978<br />Biomass: 2.399787e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice\",\"Species: Plaice<br />Year: 1979<br />Biomass: 2.405585e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice\",\"Species: Plaice<br />Year: 1980<br />Biomass: 2.238893e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice\",\"Species: Plaice<br />Year: 1981<br />Biomass: 2.234917e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice\",\"Species: Plaice<br />Year: 1982<br />Biomass: 2.272180e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice\",\"Species: Plaice<br />Year: 1983<br />Biomass: 2.253725e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice\",\"Species: Plaice<br />Year: 1984<br />Biomass: 2.263815e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice\",\"Species: Plaice<br />Year: 1985<br />Biomass: 2.250395e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice\",\"Species: Plaice<br />Year: 1986<br />Biomass: 2.275717e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice\",\"Species: Plaice<br />Year: 1987<br />Biomass: 2.196110e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice\",\"Species: Plaice<br />Year: 1988<br />Biomass: 2.096521e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice\",\"Species: Plaice<br />Year: 1989<br />Biomass: 2.068775e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice\",\"Species: Plaice<br />Year: 1990<br />Biomass: 2.101488e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice\",\"Species: Plaice<br />Year: 1991<br />Biomass: 2.161277e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice\",\"Species: Plaice<br />Year: 1992<br />Biomass: 2.113924e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice\",\"Species: Plaice<br />Year: 1993<br />Biomass: 2.092674e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice\",\"Species: Plaice<br />Year: 1994<br />Biomass: 2.069053e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice\",\"Species: Plaice<br />Year: 1995<br />Biomass: 2.081738e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice\",\"Species: Plaice<br />Year: 1996<br />Biomass: 2.075301e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice\",\"Species: Plaice<br />Year: 1997<br />Biomass: 2.062390e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice\",\"Species: Plaice<br />Year: 1998<br />Biomass: 1.974046e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice\",\"Species: Plaice<br />Year: 1999<br />Biomass: 1.950539e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice\",\"Species: Plaice<br />Year: 2000<br />Biomass: 2.010022e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice\",\"Species: Plaice<br />Year: 2001<br />Biomass: 2.201260e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice\",\"Species: Plaice<br />Year: 2002<br />Biomass: 2.074791e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice\",\"Species: Plaice<br />Year: 2003<br />Biomass: 2.098600e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice\",\"Species: Plaice<br />Year: 2004<br />Biomass: 2.104679e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice\",\"Species: Plaice<br />Year: 2005<br />Biomass: 2.194940e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice\",\"Species: Plaice<br />Year: 2006<br />Biomass: 2.331260e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice\",\"Species: Plaice<br />Year: 2007<br />Biomass: 2.459272e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice\",\"Species: Plaice<br />Year: 2008<br />Biomass: 2.557971e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice\",\"Species: Plaice<br />Year: 2009<br />Biomass: 2.667766e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice\",\"Species: Plaice<br />Year: 2010<br />Biomass: 2.756253e+12<br />Legend: Plaice<br />Legend: Plaice<br />Legend: Plaice\"],\"type\":\"scatter\",\"mode\":\"lines\",\"line\":{\"width\":3.0236220472440949,\"color\":\"rgba(0,121,87,1)\",\"dash\":\"solid\"},\"hoveron\":\"points\",\"name\":\"Plaice\",\"legendgroup\":\"Plaice\",\"showlegend\":true,\"xaxis\":\"x\",\"yaxis\":\"y\",\"hoverinfo\":\"text\",\"frame\":null},{\"x\":[1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010],\"y\":[11.797501411083481,11.775015110035305,11.812172299045706,11.73645112882661,11.729015056594134,11.75982318271701,11.73308194112253,11.763734663895262,11.760832409273409,11.739637986289436,11.765614460499288,11.758628411190141,11.740143449121934,11.743562633690043,11.760007784621436,11.789940129138598,11.8061547215052,11.802002774046004,11.819909244224386,11.823501699653077,11.791460548001194,11.795633259956483,11.776190632745715,11.80456784723919,11.784561830721916,11.802985880658794,11.798817564875314,11.803803649099809,11.813767625022482,11.821038211220301,11.822358407992267,11.836867563555654,11.826702637680235,11.823637393886717,11.817012808387151,11.843836286891378,11.88552070622926,11.901716370281706,11.886701444214165,11.876019301469748,11.845386083987599,11.853451421617917,11.889505259208224,11.914083071714],\"text\":[\"Species: Haddock<br />Year: 1967<br />Biomass: 6.273377e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock\",\"Species: Haddock<br />Year: 1968<br />Biomass: 5.956829e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock\",\"Species: Haddock<br />Year: 1969<br />Biomass: 6.488918e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock\",\"Species: Haddock<br />Year: 1970<br />Biomass: 5.450686e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock\",\"Species: Haddock<br />Year: 1971<br />Biomass: 5.358152e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock\",\"Species: Haddock<br />Year: 1972<br />Biomass: 5.752057e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock\",\"Species: Haddock<br />Year: 1973<br />Biomass: 5.408564e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock\",\"Species: Haddock<br />Year: 1974<br />Biomass: 5.804097e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock\",\"Species: Haddock<br />Year: 1975<br />Biomass: 5.765439e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock\",\"Species: Haddock<br />Year: 1976<br />Biomass: 5.490830e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock\",\"Species: Haddock<br />Year: 1977<br />Biomass: 5.829274e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock\",\"Species: Haddock<br />Year: 1978<br />Biomass: 5.736254e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock\",\"Species: Haddock<br />Year: 1979<br />Biomass: 5.497224e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock\",\"Species: Haddock<br />Year: 1980<br />Biomass: 5.540674e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock\",\"Species: Haddock<br />Year: 1981<br />Biomass: 5.754503e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock\",\"Species: Haddock<br />Year: 1982<br />Biomass: 6.165100e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock\",\"Species: Haddock<br />Year: 1983<br />Biomass: 6.399628e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock\",\"Species: Haddock<br />Year: 1984<br />Biomass: 6.338738e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock\",\"Species: Haddock<br />Year: 1985<br />Biomass: 6.605554e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock\",\"Species: Haddock<br />Year: 1986<br />Biomass: 6.660421e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock\",\"Species: Haddock<br />Year: 1987<br />Biomass: 6.186721e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock\",\"Species: Haddock<br />Year: 1988<br />Biomass: 6.246450e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock\",\"Species: Haddock<br />Year: 1989<br />Biomass: 5.972974e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock\",\"Species: Haddock<br />Year: 1990<br />Biomass: 6.376287e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock\",\"Species: Haddock<br />Year: 1991<br />Biomass: 6.089222e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock\",\"Species: Haddock<br />Year: 1992<br />Biomass: 6.353103e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock\",\"Species: Haddock<br />Year: 1993<br />Biomass: 6.292418e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock\",\"Species: Haddock<br />Year: 1994<br />Biomass: 6.365077e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock\",\"Species: Haddock<br />Year: 1995<br />Biomass: 6.512798e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock\",\"Species: Haddock<br />Year: 1996<br />Biomass: 6.622748e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock\",\"Species: Haddock<br />Year: 1997<br />Biomass: 6.642911e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock\",\"Species: Haddock<br />Year: 1998<br />Biomass: 6.868590e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock\",\"Species: Haddock<br />Year: 1999<br />Biomass: 6.709693e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock\",\"Species: Haddock<br />Year: 2000<br />Biomass: 6.662503e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock\",\"Species: Haddock<br />Year: 2001<br />Biomass: 6.561646e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock\",\"Species: Haddock<br />Year: 2002<br />Biomass: 6.979692e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock\",\"Species: Haddock<br />Year: 2003<br />Biomass: 7.682821e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock\",\"Species: Haddock<br />Year: 2004<br />Biomass: 7.974737e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock\",\"Species: Haddock<br />Year: 2005<br />Biomass: 7.703737e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock\",\"Species: Haddock<br />Year: 2006<br />Biomass: 7.516563e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock\",\"Species: Haddock<br />Year: 2007<br />Biomass: 7.004644e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock\",\"Species: Haddock<br />Year: 2008<br />Biomass: 7.135944e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock\",\"Species: Haddock<br />Year: 2009<br />Biomass: 7.753633e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock\",\"Species: Haddock<br />Year: 2010<br />Biomass: 8.205085e+11<br />Legend: Haddock<br />Legend: Haddock<br />Legend: Haddock\"],\"type\":\"scatter\",\"mode\":\"lines\",\"line\":{\"width\":3.0236220472440949,\"color\":\"rgba(180,41,121,1)\",\"dash\":\"solid\"},\"hoveron\":\"points\",\"name\":\"Haddock\",\"legendgroup\":\"Haddock\",\"showlegend\":true,\"xaxis\":\"x\",\"yaxis\":\"y\",\"hoverinfo\":\"text\",\"frame\":null},{\"x\":[1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010],\"y\":[12.209082856888223,11.953255465399588,11.740868178008455,11.642048566753926,11.635994797162388,11.640057408117292,11.619980485491446,11.616780266689085,11.626190540262678,11.624538753413788,11.616009530487604,11.618061342179532,11.596955382681159,11.595772240181361,11.571606142731573,11.544120513553921,11.495510431909581,11.478527718451581,11.497696602684652,11.521288302797977,11.515705300753632,11.512679116939802,11.499859980359219,11.485744749325585,11.502165808455308,11.512408901982097,11.524625140139591,11.525559790264088,11.517508700564031,11.500428549650902,11.477240608842026,11.455001226073392,11.426727442511739,11.407264487389259,11.405685995529682,11.414607075873638,11.418893957943723,11.41901577603166,11.427480592966553,11.45179698698349,11.497408089333957,11.546350279969392,11.581930800790598,11.605967296682289],\"text\":[\"Species: Cod<br />Year: 1967<br />Biomass: 1.618389e+12<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod\",\"Species: Cod<br />Year: 1968<br />Biomass: 8.979568e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod\",\"Species: Cod<br />Year: 1969<br />Biomass: 5.506405e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod\",\"Species: Cod<br />Year: 1970<br />Biomass: 4.385797e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod\",\"Species: Cod<br />Year: 1971<br />Biomass: 4.325086e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod\",\"Species: Cod<br />Year: 1972<br />Biomass: 4.365735e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod\",\"Species: Cod<br />Year: 1973<br />Biomass: 4.168507e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod\",\"Species: Cod<br />Year: 1974<br />Biomass: 4.137903e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod\",\"Species: Cod<br />Year: 1975<br />Biomass: 4.228541e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod\",\"Species: Cod<br />Year: 1976<br />Biomass: 4.212489e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod\",\"Species: Cod<br />Year: 1977<br />Biomass: 4.130566e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod\",\"Species: Cod<br />Year: 1978<br />Biomass: 4.150127e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod\",\"Species: Cod<br />Year: 1979<br />Biomass: 3.953260e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod\",\"Species: Cod<br />Year: 1980<br />Biomass: 3.942505e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod\",\"Species: Cod<br />Year: 1981<br />Biomass: 3.729118e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod\",\"Species: Cod<br />Year: 1982<br />Biomass: 3.500423e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod\",\"Species: Cod<br />Year: 1983<br />Biomass: 3.129756e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod\",\"Species: Cod<br />Year: 1984<br />Biomass: 3.009731e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod\",\"Species: Cod<br />Year: 1985<br />Biomass: 3.145550e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod\",\"Species: Cod<br />Year: 1986<br />Biomass: 3.321149e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod\",\"Species: Cod<br />Year: 1987<br />Biomass: 3.278727e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod\",\"Species: Cod<br />Year: 1988<br />Biomass: 3.255960e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod\",\"Species: Cod<br />Year: 1989<br />Biomass: 3.161258e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod\",\"Species: Cod<br />Year: 1990<br />Biomass: 3.060164e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod\",\"Species: Cod<br />Year: 1991<br />Biomass: 3.178087e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod\",\"Species: Cod<br />Year: 1992<br />Biomass: 3.253935e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod\",\"Species: Cod<br />Year: 1993<br />Biomass: 3.346764e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod\",\"Species: Cod<br />Year: 1994<br />Biomass: 3.353975e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod\",\"Species: Cod<br />Year: 1995<br />Biomass: 3.292370e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod\",\"Species: Cod<br />Year: 1996<br />Biomass: 3.165400e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod\",\"Species: Cod<br />Year: 1997<br />Biomass: 3.000825e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod\",\"Species: Cod<br />Year: 1998<br />Biomass: 2.851026e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod\",\"Species: Cod<br />Year: 1999<br />Biomass: 2.671329e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod\",\"Species: Cod<br />Year: 2000<br />Biomass: 2.554256e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod\",\"Species: Cod<br />Year: 2001<br />Biomass: 2.544990e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod\",\"Species: Cod<br />Year: 2002<br />Biomass: 2.597808e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod\",\"Species: Cod<br />Year: 2003<br />Biomass: 2.623578e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod\",\"Species: Cod<br />Year: 2004<br />Biomass: 2.624314e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod\",\"Species: Cod<br />Year: 2005<br />Biomass: 2.675966e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod\",\"Species: Cod<br />Year: 2006<br />Biomass: 2.830069e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod\",\"Species: Cod<br />Year: 2007<br />Biomass: 3.143461e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod\",\"Species: Cod<br />Year: 2008<br />Biomass: 3.518441e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod\",\"Species: Cod<br />Year: 2009<br />Biomass: 3.818834e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod\",\"Species: Cod<br />Year: 2010<br />Biomass: 4.036150e+11<br />Legend: Cod<br />Legend: Cod<br />Legend: Cod\"],\"type\":\"scatter\",\"mode\":\"lines\",\"line\":{\"width\":3.0236220472440949,\"color\":\"rgba(20,35,0,1)\",\"dash\":\"solid\"},\"hoveron\":\"points\",\"name\":\"Cod\",\"legendgroup\":\"Cod\",\"showlegend\":true,\"xaxis\":\"x\",\"yaxis\":\"y\",\"hoverinfo\":\"text\",\"frame\":null},{\"x\":[1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010],\"y\":[12.026527806461885,11.929917516896309,11.92448794772803,11.950030497001533,11.920303553220617,11.934984262832536,11.917180728897643,11.906143877431116,11.866815206246223,11.882575930155811,11.819867910863845,11.85143898940485,11.89961921026282,11.936091550543747,11.92448081406943,11.961668030088328,11.91858251730212,11.878752041059977,11.839954558890224,11.821276491588584,11.793188170322752,11.833919177340912,11.838644170290152,11.820480872571178,11.836615885504013,11.846759330931176,11.830613295966209,11.853503329125653,11.862224596942566,11.890548669603104,11.89769259591135,11.93617284905898,11.925674122471301,11.915529047541861,11.928521117585298,11.942226052786259,11.95367798660876,11.963487403208269,11.977309571390688,11.959103770430513,11.941881995650929,11.942043655729067,11.912301154309947,11.889241387213781],\"text\":[\"Species: Saithe<br />Year: 1967<br />Biomass: 1.062987e+12<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe\",\"Species: Saithe<br />Year: 1968<br />Biomass: 8.509764e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe\",\"Species: Saithe<br />Year: 1969<br />Biomass: 8.404037e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe\",\"Species: Saithe<br />Year: 1970<br />Biomass: 8.913135e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe\",\"Species: Saithe<br />Year: 1971<br />Biomass: 8.323453e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe\",\"Species: Saithe<br />Year: 1972<br />Biomass: 8.609626e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe\",\"Species: Saithe<br />Year: 1973<br />Biomass: 8.263818e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe\",\"Species: Saithe<br />Year: 1974<br />Biomass: 8.056453e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe\",\"Species: Saithe<br />Year: 1975<br />Biomass: 7.358939e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe\",\"Species: Saithe<br />Year: 1976<br />Biomass: 7.630903e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe\",\"Species: Saithe<br />Year: 1977<br />Biomass: 6.604925e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe\",\"Species: Saithe<br />Year: 1978<br />Biomass: 7.102954e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe\",\"Species: Saithe<br />Year: 1979<br />Biomass: 7.936321e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe\",\"Species: Saithe<br />Year: 1980<br />Biomass: 8.631605e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe\",\"Species: Saithe<br />Year: 1981<br />Biomass: 8.403899e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe\",\"Species: Saithe<br />Year: 1982<br />Biomass: 9.155204e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe\",\"Species: Saithe<br />Year: 1983<br />Biomass: 8.290534e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe\",\"Species: Saithe<br />Year: 1984<br />Biomass: 7.564009e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe\",\"Species: Saithe<br />Year: 1985<br />Biomass: 6.917586e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe\",\"Species: Saithe<br />Year: 1986<br />Biomass: 6.626382e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe\",\"Species: Saithe<br />Year: 1987<br />Biomass: 6.211381e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe\",\"Species: Saithe<br />Year: 1988<br />Biomass: 6.822117e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe\",\"Species: Saithe<br />Year: 1989<br />Biomass: 6.896745e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe\",\"Species: Saithe<br />Year: 1990<br />Biomass: 6.614254e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe\",\"Species: Saithe<br />Year: 1991<br />Biomass: 6.864610e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe\",\"Species: Saithe<br />Year: 1992<br />Biomass: 7.026828e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe\",\"Species: Saithe<br />Year: 1993<br />Biomass: 6.770384e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe\",\"Species: Saithe<br />Year: 1994<br />Biomass: 7.136797e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe\",\"Species: Saithe<br />Year: 1995<br />Biomass: 7.281563e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe\",\"Species: Saithe<br />Year: 1996<br />Biomass: 7.772284e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe\",\"Species: Saithe<br />Year: 1997<br />Biomass: 7.901192e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe\",\"Species: Saithe<br />Year: 1998<br />Biomass: 8.633221e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe\",\"Species: Saithe<br />Year: 1999<br />Biomass: 8.427022e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe\",\"Species: Saithe<br />Year: 2000<br />Biomass: 8.232449e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe\",\"Species: Saithe<br />Year: 2001<br />Biomass: 8.482446e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe\",\"Species: Saithe<br />Year: 2002<br />Biomass: 8.754393e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe\",\"Species: Saithe<br />Year: 2003<br />Biomass: 8.988309e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe\",\"Species: Saithe<br />Year: 2004<br />Biomass: 9.193638e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe\",\"Species: Saithe<br />Year: 2005<br />Biomass: 9.490948e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe\",\"Species: Saithe<br />Year: 2006<br />Biomass: 9.101307e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe\",\"Species: Saithe<br />Year: 2007<br />Biomass: 8.747461e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe\",\"Species: Saithe<br />Year: 2008<br />Biomass: 8.750717e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe\",\"Species: Saithe<br />Year: 2009<br />Biomass: 8.171488e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe\",\"Species: Saithe<br />Year: 2010<br />Biomass: 7.748924e+11<br />Legend: Saithe<br />Legend: Saithe<br />Legend: Saithe\"],\"type\":\"scatter\",\"mode\":\"lines\",\"line\":{\"width\":3.0236220472440949,\"color\":\"rgba(160,141,251,1)\",\"dash\":\"solid\"},\"hoveron\":\"points\",\"name\":\"Saithe\",\"legendgroup\":\"Saithe\",\"showlegend\":true,\"xaxis\":\"x\",\"yaxis\":\"y\",\"hoverinfo\":\"text\",\"frame\":null}],\"layout\":{\"margin\":{\"t\":23.305936073059364,\"r\":7.3059360730593621,\"b\":37.260273972602747,\"l\":54.794520547945211},\"plot_bgcolor\":\"rgba(235,235,235,1)\",\"paper_bgcolor\":\"rgba(255,255,255,1)\",\"font\":{\"color\":\"rgba(0,0,0,1)\",\"family\":\"\",\"size\":14.611872146118724},\"xaxis\":{\"domain\":[0,1],\"automargin\":true,\"type\":\"linear\",\"autorange\":false,\"range\":[1964.8499999999999,2012.1500000000001],\"tickmode\":\"array\",\"ticktext\":[\"1970\",\"1980\",\"1990\",\"2000\",\"2010\"],\"tickvals\":[1970,1980,1990,2000,2010],\"categoryorder\":\"array\",\"categoryarray\":[\"1970\",\"1980\",\"1990\",\"2000\",\"2010\"],\"nticks\":null,\"ticks\":\"outside\",\"tickcolor\":\"rgba(51,51,51,1)\",\"ticklen\":3.6529680365296811,\"tickwidth\":0.66417600664176002,\"showticklabels\":true,\"tickfont\":{\"color\":\"rgba(77,77,77,1)\",\"family\":\"\",\"size\":11.68949771689498},\"tickangle\":-0,\"showline\":false,\"linecolor\":null,\"linewidth\":0,\"showgrid\":true,\"gridcolor\":\"rgba(255,255,255,1)\",\"gridwidth\":0.66417600664176002,\"zeroline\":false,\"anchor\":\"y\",\"title\":{\"text\":\"Year\",\"font\":{\"color\":\"rgba(0,0,0,1)\",\"family\":\"\",\"size\":14.611872146118724}},\"hoverformat\":\".2f\"},\"yaxis\":{\"domain\":[0,1],\"automargin\":true,\"type\":\"linear\",\"autorange\":false,\"range\":[9.9545260903252313,12.697254796244303],\"tickmode\":\"array\",\"ticktext\":[\"1e+10\",\"2e+10\",\"5e+10\",\"1e+11\",\"2e+11\",\"5e+11\",\"1e+12\",\"2e+12\"],\"tickvals\":[10,10.301029995663981,10.698970004336019,11,11.301029995663981,11.698970004336019,12,12.301029995663981],\"categoryorder\":\"array\",\"categoryarray\":[\"1e+10\",\"2e+10\",\"5e+10\",\"1e+11\",\"2e+11\",\"5e+11\",\"1e+12\",\"2e+12\"],\"nticks\":null,\"ticks\":\"outside\",\"tickcolor\":\"rgba(51,51,51,1)\",\"ticklen\":3.6529680365296811,\"tickwidth\":0.66417600664176002,\"showticklabels\":true,\"tickfont\":{\"color\":\"rgba(77,77,77,1)\",\"family\":\"\",\"size\":11.68949771689498},\"tickangle\":-0,\"showline\":false,\"linecolor\":null,\"linewidth\":0,\"showgrid\":true,\"gridcolor\":\"rgba(255,255,255,1)\",\"gridwidth\":0.66417600664176002,\"zeroline\":false,\"anchor\":\"x\",\"title\":{\"text\":\"Biomass 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\",\"x\"]},\"highlight\":{\"on\":\"plotly_click\",\"persistent\":false,\"dynamic\":false,\"selectize\":false,\"opacityDim\":0.20000000000000001,\"selected\":{\"opacity\":1},\"debounce\":0},\"shinyEvents\":[\"plotly_hover\",\"plotly_click\",\"plotly_selected\",\"plotly_relayout\",\"plotly_brushed\",\"plotly_brushing\",\"plotly_clickannotation\",\"plotly_doubleclick\",\"plotly_deselect\",\"plotly_afterplot\",\"plotly_sunburstclick\"],\"base_url\":\"https://plot.ly\"},\"evals\":[],\"jsHooks\":[]}# }"},{"path":"https://sizespectrum.org/mizer/reference/plotBiomass.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot the biomass of species through time — plotBiomass","title":"Plot the biomass of species through time — plotBiomass","text":"running projection, biomass species can plotted time. biomass calculated within user defined size limits (see getBiomass()).","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotBiomass.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot the biomass of species through time — plotBiomass","text":"","code":"plotBiomass(sim, ...)  # S3 method for class 'MizerSim' plotBiomass(   sim,   species = NULL,   start_time = NULL,   end_time = NULL,   y_ticks = 6,   ylim = c(NA, NA),   total = FALSE,   background = TRUE,   highlight = NULL,   log = TRUE,   return_data = FALSE,   use_cutoff = FALSE,   min_w = min(sim@params@w),   max_w = max(sim@params@w),   min_l = NULL,   max_l = NULL,   ... )  plotlyBiomass(   sim,   species = NULL,   start_time = NULL,   end_time = NULL,   y_ticks = 6,   ylim = c(NA, NA),   total = FALSE,   background = TRUE,   highlight = NULL,   log = TRUE,   use_cutoff = FALSE,   min_w = min(sim@params@w),   max_w = max(sim@params@w),   min_l = NULL,   max_l = NULL )"},{"path":"https://sizespectrum.org/mizer/reference/plotBiomass.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot the biomass of species through time — plotBiomass","text":"sim object class MizerSim ... Unused species species selected. Optional. default target species selected. vector species names, numeric vector species indices, logical vector indicating species whether selected (TRUE) . start_time first time plotted. Default (NULL) beginning time series. end_time last time plotted. Default (NULL) end time series. y_ticks approximate number ticks desired y axis. ylim numeric vector length two providing lower upper limits y axis. Use NA refer existing minimum maximum. values 1e-20 always cut . total boolean value determines whether total biomass species plotted well. Default FALSE. background boolean value determines whether background species included. Ignored model contain background species. Default TRUE. highlight Name vector names species highlighted. log TRUE (default), use log10 y-axis. return_data boolean value determines whether formatted data used plot returned instead plot . Default FALSE. use_cutoff TRUE, biomass_cutoff column species parameters used minimum weight species. min_w Smallest weight size range. Defaults smallest weight model. max_w Largest weight size range. Defaults largest weight model. min_l Smallest length size range. supplied, takes precedence min_w. max_l Largest length size range. supplied, takes precedence max_w.","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotBiomass.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot the biomass of species through time — plotBiomass","text":"ggplot2 object, unless return_data = TRUE, case data frame four variables 'Year', 'Biomass', 'Species', 'Legend' returned.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/plotBiomass.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot the biomass of species through time — plotBiomass","text":"","code":"# \\donttest{ plotBiomass(NS_sim)  plotBiomass(NS_sim, species = c(\"Sandeel\", \"Herring\"), total = TRUE)  plotBiomass(NS_sim, start_time = 1980, end_time = 1990)   # Returning the data frame fr <- plotBiomass(NS_sim, return_data = TRUE) str(fr) #> 'data.frame':\t528 obs. of  4 variables: #>  $ Year   : int  1967 1968 1969 1970 1971 1972 1973 1974 1975 1976 ... #>  $ Biomass: num  5.08e+10 5.57e+10 5.48e+10 5.32e+10 5.16e+10 ... #>  $ Species: Factor w/ 12 levels \"Sprat\",\"Sandeel\",..: 1 1 1 1 1 1 1 1 1 1 ... #>  $ Legend : Factor w/ 12 levels \"Sprat\",\"Sandeel\",..: 1 1 1 1 1 1 1 1 1 1 ... # }"},{"path":"https://sizespectrum.org/mizer/reference/plotBiomassObservedVsModel.html","id":null,"dir":"Reference","previous_headings":"","what":"Plotting observed vs. model biomass data — plotBiomassObservedVsModel","title":"Plotting observed vs. model biomass data — plotBiomassObservedVsModel","text":"biomass observations available least species via biomass_observed column species parameter data frame, function plots biomass species model observed biomasses. called MizerSim object, plot use model biomasses predicted final time step simulation. MizerSim plotly methods, ratio defaults FALSE.","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotBiomassObservedVsModel.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plotting observed vs. model biomass data — plotBiomassObservedVsModel","text":"","code":"plotBiomassObservedVsModel(   object,   species = NULL,   ratio = TRUE,   log_scale = TRUE,   return_data = FALSE,   labels = TRUE,   show_unobserved = FALSE,   ... )  plotlyBiomassObservedVsModel(   object,   species = NULL,   ratio = FALSE,   log_scale = TRUE,   show_unobserved = FALSE,   ... )"},{"path":"https://sizespectrum.org/mizer/reference/plotBiomassObservedVsModel.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plotting observed vs. model biomass data — plotBiomassObservedVsModel","text":"object object class MizerParams MizerSim. species species included. Optional. default observed biomasses included. vector species names, numeric vector species indices, logical vector indicating species whether included (TRUE) . ratio Whether plot model biomass vs. observed biomass (FALSE) ratio model : observed biomass (TRUE). Default TRUE. log_scale Whether plot log10 scale (TRUE) (FALSE). non-ratio plot applies axes, ratio plot x-axis log10 scale. Default TRUE. return_data Whether return data frame plot (TRUE) (FALSE). Default FALSE. labels Whether show text labels species (TRUE) (FALSE). Default TRUE. show_unobserved Whether include also species biomass observation available. TRUE, species shown observed biomass equal model biomass. ... Additional arguments passed plot function.","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotBiomassObservedVsModel.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plotting observed vs. model biomass data — plotBiomassObservedVsModel","text":"ggplot2 object plot model biomass species compared observed biomass. return_data = TRUE, data frame used create plot returned instead plot.","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotBiomassObservedVsModel.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Plotting observed vs. model biomass data — plotBiomassObservedVsModel","text":"can use function need added biomass_observed column model gives observed biomass grams.  species observed biomass, set value biomass_observed column 0 NA. Biomass observations usually include individuals certain size. size specified biomass_cutoff column species parameter data frame. missing, assumed sizes included observed biomass, .e., includes larval biomass. total relative error shown caption plot, calculated $$TRE = \\sum_i|1-\\rm{ratio_i}|$$ \\(\\rm{ratio_i}\\) ratio model biomass / observed biomass species .","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotBiomassObservedVsModel.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plotting observed vs. model biomass data — plotBiomassObservedVsModel","text":"","code":"# create an example params <- NS_params species_params(params)$biomass_observed <-     c(0.8, 61, 12, 35, 1.6, NA, 10, 7.6, 135, 60, 30, NA) species_params(params)$biomass_cutoff <- 10 params <- calibrateBiomass(params)  # Plot with default options plotBiomassObservedVsModel(params, ratio = FALSE)   # Plot including also species without observations plotBiomassObservedVsModel(params, show_unobserved = TRUE, ratio = FALSE)   # Show the ratio instead plotBiomassObservedVsModel(params)"},{"path":"https://sizespectrum.org/mizer/reference/plotDataFrame.html","id":null,"dir":"Reference","previous_headings":"","what":"Make a plot from a data frame — plotDataFrame","title":"Make a plot from a data frame — plotDataFrame","text":"used internally plotting functions.","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotDataFrame.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Make a plot from a data frame — plotDataFrame","text":"","code":"plotDataFrame(   frame,   params,   style = \"line\",   xlab = waiver(),   ylab = waiver(),   xtrans = \"identity\",   ytrans = \"identity\",   xlim = c(NA, NA),   ylim = c(NA, NA),   y_ticks = 6,   highlight = NULL,   legend_var = NULL,   wrap_var = NULL,   wrap_scale = NULL )"},{"path":"https://sizespectrum.org/mizer/reference/plotDataFrame.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Make a plot from a data frame — plotDataFrame","text":"frame data frame least three variables. first three variables used, order, : Variable plotted x-axis Variable plotted y-axis Grouping variable params MizerParams object, used line colours line types. style style plot. Available options \"line\" geom_line() \"area\" geom_area(). Default \"line\". xlab Label x-axis ylab Label y-axis xtrans Transformation x-axis. Often \"log10\" may useful instead default \"identity\". ytrans Transformation y-axis. xlim numeric vector length two providing lower upper limits x axis. Use NA refer existing minimum maximum. ylim numeric vector length two providing lower upper limits y axis. Use NA refer existing minimum maximum. y_ticks approximate number ticks desired y axis highlight Name vector names species highlighted. legend_var name variable used legend determine line style. NULL grouping variable used purpose. wrap_var Optional. name variable used creating wrapped facets. wrap_scale Optional. Used pass scales argument facet_wrap().","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotDataFrame.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Make a plot from a data frame — plotDataFrame","text":"ggplot2 object","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotDiet.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot diet, resolved by prey species, as function of predator at size. — plotDiet","title":"Plot diet, resolved by prey species, as function of predator at size. — plotDiet","text":"Plots proportions prey species contributes total biomass consumed specified predator species, function predator's size. proportions obtained getDiet().","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotDiet.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot diet, resolved by prey species, as function of predator at size. — plotDiet","text":"","code":"plotDiet(object, ...)  # S3 method for class 'MizerSim' plotDiet(object, species = NULL, time_range, return_data = FALSE, ...)  # S3 method for class 'MizerParams' plotDiet(object, species = NULL, return_data = FALSE, ...)"},{"path":"https://sizespectrum.org/mizer/reference/plotDiet.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot diet, resolved by prey species, as function of predator at size. — plotDiet","text":"object object class MizerSim MizerParams. ... arguments (currently unused) species species selected. Optional. default target species selected. vector species names, numeric vector species indices, logical vector indicating species whether selected (TRUE) . time_range time range (either vector values, vector min max time, single value) average abundances . Default final time step. Ignored called MizerParams object. return_data boolean value determines whether formatted data used plot returned instead plot . Default value FALSE","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotDiet.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot diet, resolved by prey species, as function of predator at size. — plotDiet","text":"ggplot2 object, unless return_data = TRUE, case data frame four variables 'Predator', 'w', 'Proportion', 'Prey' returned.","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotDiet.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Plot diet, resolved by prey species, as function of predator at size. — plotDiet","text":"Prey species contribute less 1 permille diet suppressed plot. plot extends predator sizes predator meaningful abundance (defined biomass density greater 0.1% maximum biomass density). one predator species selected, plot contains one facet species.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/plotDiet.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot diet, resolved by prey species, as function of predator at size. — plotDiet","text":"","code":"# \\donttest{ plotDiet(NS_params, species = \"Cod\")  plotDiet(NS_params, species = 5:9)   # Returning the data frame fr <- plotDiet(NS_params, species = \"Cod\", return_data = TRUE) str(fr) #> 'data.frame':\t800 obs. of  4 variables: #>  $ Predator  : Factor w/ 1 level \"Cod\": 1 1 1 1 1 1 1 1 1 1 ... #>  $ w         : num  0.486 0.58 0.693 0.827 0.987 1.18 1.4 1.68 2 2.39 ... #>  $ Prey      : Factor w/ 14 levels \"External\",\"Resource\",..: 14 14 14 14 14 14 14 14 14 14 ... #>  $ Proportion: num  0.00113 0.00139 0.0017 0.00208 0.00254 ... # }"},{"path":"https://sizespectrum.org/mizer/reference/plotFMort.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot total fishing mortality of each species by size — plotFMort","title":"Plot total fishing mortality of each species by size — plotFMort","text":"running projection, plot total fishing mortality species size. total fishing mortality averaged specified time range (single value time range can used plot single time step).","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotFMort.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot total fishing mortality of each species by size — plotFMort","text":"","code":"plotFMort(object, ...)  # S3 method for class 'MizerSim' plotFMort(   object,   species = NULL,   time_range,   all.sizes = FALSE,   highlight = NULL,   return_data = FALSE,   ... )  # S3 method for class 'MizerParams' plotFMort(   object,   species = NULL,   all.sizes = FALSE,   highlight = NULL,   return_data = FALSE,   ... )  plotlyFMort(object, species = NULL, time_range, highlight = NULL, ...)"},{"path":"https://sizespectrum.org/mizer/reference/plotFMort.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot total fishing mortality of each species by size — plotFMort","text":"object object class MizerSim MizerParams. ... arguments (currently unused) species species selected. Optional. default target species selected. vector species names, numeric vector species indices, logical vector indicating species whether selected (TRUE) . time_range time range (either vector values, vector min max time, single value) average abundances . Default final time step. Ignored called MizerParams object. .sizes TRUE, fishing mortality plotted also sizes outside species' size range. Default FALSE. highlight Name vector names species highlighted. return_data boolean value determines whether formatted data used plot returned instead plot . Default value FALSE","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotFMort.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot total fishing mortality of each species by size — plotFMort","text":"ggplot2 object, unless return_data = TRUE, case data frame three variables 'w', 'value', 'Species' returned.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/plotFMort.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot total fishing mortality of each species by size — plotFMort","text":"","code":"# \\donttest{ params <-  NS_params sim <- project(params, effort=1, t_max=20, t_save = 2, progress_bar = FALSE) plotFMort(sim)  plotFMort(sim, highlight = c(\"Cod\", \"Haddock\"))   # Returning the data frame fr <- plotFMort(sim, return_data = TRUE) str(fr) #> 'data.frame':\t934 obs. of  4 variables: #>  $ w      : num  0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 ... #>  $ value  : num  0 0 0 0 0 0 0 0 0 0 ... #>  $ Species: chr  \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>  $ Legend : chr  \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... # }"},{"path":"https://sizespectrum.org/mizer/reference/plotFeedingLevel.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot the feeding level of species by size — plotFeedingLevel","title":"Plot the feeding level of species by size — plotFeedingLevel","text":"running projection, plot feeding level species size. feeding level averaged specified time range (single value time range can used).","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotFeedingLevel.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot the feeding level of species by size — plotFeedingLevel","text":"","code":"plotFeedingLevel(object, ...)  # S3 method for class 'MizerSim' plotFeedingLevel(   object,   species = NULL,   time_range,   highlight = NULL,   all.sizes = FALSE,   include_critical = FALSE,   return_data = FALSE,   ... )  # S3 method for class 'MizerParams' plotFeedingLevel(   object,   species = NULL,   highlight = NULL,   all.sizes = FALSE,   include_critical = FALSE,   return_data = FALSE,   ... )  plotlyFeedingLevel(   object,   species = NULL,   time_range,   highlight = NULL,   include_critical = FALSE,   ... )"},{"path":"https://sizespectrum.org/mizer/reference/plotFeedingLevel.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot the feeding level of species by size — plotFeedingLevel","text":"object object class MizerSim MizerParams. ... arguments (currently unused) species species selected. Optional. default target species selected. vector species names, numeric vector species indices, logical vector indicating species whether selected (TRUE) . time_range time range (either vector values, vector min max time, single value) average abundances . Default final time step. Ignored called MizerParams object. highlight Name vector names species highlighted. .sizes TRUE, feeding level plotted also sizes outside species' size range. Default FALSE. include_critical TRUE, critical feeding level also plotted. Default FALSE. return_data boolean value determines whether formatted data used plot returned instead plot . Default value FALSE","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotFeedingLevel.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot the feeding level of species by size — plotFeedingLevel","text":"ggplot2 object, unless return_data = TRUE, case data frame variables 'w', 'value' 'Species' returned. also include_critical = TRUE data frame contains fourth variable 'Type' distinguishes 'actual' 'critical' feeding level.","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotFeedingLevel.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Plot the feeding level of species by size — plotFeedingLevel","text":"called MizerSim object, feeding level averaged specified time range (single value time range can used plot single time step). called MizerParams object initial feeding level plotted. include_critical = TRUE critical feeding level (feeding level intake just covers metabolic cost) also plotted, thinner line. line always stay line actual feeding level, species stop growing point feeding level drops critical feeding level.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/plotFeedingLevel.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot the feeding level of species by size — plotFeedingLevel","text":"","code":"# \\donttest{ params <-  NS_params sim <- project(params, effort=1, t_max=20, t_save = 2, progress_bar = FALSE) plotFeedingLevel(sim)  plotFeedingLevel(sim, time_range = 10:20, species = c(\"Cod\", \"Herring\"),                  include_critical = TRUE)   # Returning the data frame fr <- plotFeedingLevel(sim, return_data = TRUE) str(fr) #> 'data.frame':\t934 obs. of  3 variables: #>  $ w      : num  0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 ... #>  $ value  : num  0.622 0.622 0.614 0.621 0.619 ... #>  $ Species: chr  \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... # }"},{"path":"https://sizespectrum.org/mizer/reference/plotGrowthCurves.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot growth curves — plotGrowthCurves","title":"Plot growth curves — plotGrowthCurves","text":"growth curves represent average age living fish species function size. natural plot size x-axis. follow usual convention age-based models, plot size y-axis age x-axis.","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotGrowthCurves.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot growth curves — plotGrowthCurves","text":"","code":"plotGrowthCurves(object, ...)  # S3 method for class 'MizerSim' plotGrowthCurves(   object,   species = NULL,   max_age = 20,   percentage = FALSE,   species_panel = FALSE,   highlight = NULL,   size_at_age = NULL,   return_data = FALSE,   ... )  # S3 method for class 'MizerParams' plotGrowthCurves(   object,   species = NULL,   max_age = 20,   percentage = FALSE,   species_panel = FALSE,   highlight = NULL,   size_at_age = NULL,   return_data = FALSE,   ... )  plotlyGrowthCurves(   object,   species = NULL,   max_age = 20,   percentage = FALSE,   species_panel = FALSE,   highlight = NULL )"},{"path":"https://sizespectrum.org/mizer/reference/plotGrowthCurves.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot growth curves — plotGrowthCurves","text":"object MizerSim MizerParams object. given MizerSim object, uses growth rates final time simulation calculate size age. given MizerParams object, uses initial growth rates instead. ... arguments (currently unused) species species selected. Optional. default target species selected. vector species names, numeric vector species indices, logical vector indicating species whether selected (TRUE) . max_age age run growth curve. Default 20. percentage Boolean value. TRUE, size given percentage maximal size. species_panel TRUE (default), percentage = FALSE, display species facets. Otherwise puts species single panel. highlight Name vector names species highlighted. size_at_age data frame observed size age data plotted top growth curve graphs. contain columns species (species name used model), age (years) either weight (grams) length (cm). weight length provided, weight used. return_data boolean value determines whether formatted data used plot returned instead plot . Default value FALSE","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotGrowthCurves.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot growth curves — plotGrowthCurves","text":"ggplot2 object","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotGrowthCurves.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Plot growth curves — plotGrowthCurves","text":"panel single species, horizontal line included indicate maturity size species vertical line indicating maturity age. size age data passed via size_at_age argument, plotted top growth curve. comparing growth curves, need remember growth curves represent average age size. scatter x-direction around curve expected. legacy reasons, species parameters contain variables b length weight conversion von Bertalanffy parameter k_vb, w_inf (optionally t0), von Bertalanffy growth curve superimposed black. implemented understood von Bertalanffy curves (approximates average length age) compared mizer growth curves (approximate average age length).","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/plotGrowthCurves.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot growth curves — plotGrowthCurves","text":"","code":"# \\donttest{ params <-  NS_params sim <- project(params, effort=1, t_max=20, t_save = 2, progress_bar = FALSE) plotGrowthCurves(sim, percentage = TRUE)  plotGrowthCurves(sim, species = \"Cod\", max_age = 24)  plotGrowthCurves(sim, species_panel = TRUE)   # Returning the data frame fr <- plotGrowthCurves(sim, return_data = TRUE) str(fr) #> 'data.frame':\t600 obs. of  4 variables: #>  $ Species: Factor w/ 12 levels \"Sprat\",\"Sandeel\",..: 1 2 3 4 5 6 7 8 9 10 ... #>  $ Age    : num  0 0 0 0 0 0 0 0 0 0 ... #>  $ value  : num  0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 ... #>  $ Legend : chr  \"model\" \"model\" \"model\" \"model\" ... # }"},{"path":"https://sizespectrum.org/mizer/reference/plotM2.html","id":null,"dir":"Reference","previous_headings":"","what":"Alias for plotPredMort() — plotM2","title":"Alias for plotPredMort() — plotM2","text":"alias provided backward compatibility mizer version <= 1.0","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotM2.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Alias for plotPredMort() — plotM2","text":"","code":"plotM2(object, ...)"},{"path":"https://sizespectrum.org/mizer/reference/plotM2.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Alias for plotPredMort() — plotM2","text":"object object class MizerSim MizerParams. ... arguments (currently unused)","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotM2.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Alias for plotPredMort() — plotM2","text":"ggplot2 object, unless return_data = TRUE, case data frame three variables 'w', 'value', 'Species' returned.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/plotM2.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Alias for plotPredMort() — plotM2","text":"","code":"# \\donttest{ params <-  NS_params sim <- project(params, effort=1, t_max=20, t_save = 2, progress_bar = FALSE) plotPredMort(sim)  plotPredMort(sim, time_range = 10:20)   # Returning the data frame fr <- plotPredMort(sim, return_data = TRUE) str(fr) #> 'data.frame':\t934 obs. of  4 variables: #>  $ w      : num  0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 ... #>  $ value  : num  2.67 1.11 3.87 4.24 3.4 ... #>  $ Species: chr  \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>  $ Legend : chr  \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... # }"},{"path":"https://sizespectrum.org/mizer/reference/plotMizerParams.html","id":null,"dir":"Reference","previous_headings":"","what":"Summary plot for MizerParams objects — plotMizerParams","title":"Summary plot for MizerParams objects — plotMizerParams","text":"Produces 3 plots window: abundance spectra, feeding level predation mortality species time. method just uses plotting functions puts one window.","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotMizerParams.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Summary plot for MizerParams objects — plotMizerParams","text":"","code":"# S3 method for class 'MizerParams' plot(x, ...)"},{"path":"https://sizespectrum.org/mizer/reference/plotMizerParams.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Summary plot for MizerParams objects — plotMizerParams","text":"x object class MizerParams ... additional arguments see documentation plotFeedingLevel(),plotSpectra(),plotPredMort()","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotMizerParams.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Summary plot for MizerParams objects — plotMizerParams","text":"viewport object","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/plotMizerParams.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Summary plot for MizerParams objects — plotMizerParams","text":"","code":"# \\donttest{ params <-  NS_params plot(params)  # }"},{"path":"https://sizespectrum.org/mizer/reference/plotMizerSim.html","id":null,"dir":"Reference","previous_headings":"","what":"Summary plot for MizerSim objects — plotMizerSim","title":"Summary plot for MizerSim objects — plotMizerSim","text":"running projection, produces 5 plots window: feeding level, abundance spectra, predation mortality fishing mortality species size; biomass species time. method just uses plotting functions puts one window.","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotMizerSim.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Summary plot for MizerSim objects — plotMizerSim","text":"","code":"# S3 method for class 'MizerSim' plot(x, ...)"},{"path":"https://sizespectrum.org/mizer/reference/plotMizerSim.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Summary plot for MizerSim objects — plotMizerSim","text":"x object class MizerSim ... additional arguments see documentation plotBiomass(), plotFeedingLevel(),plotSpectra(),plotPredMort() plotFMort().","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotMizerSim.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Summary plot for MizerSim objects — plotMizerSim","text":"viewport object","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/plotMizerSim.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Summary plot for MizerSim objects — plotMizerSim","text":"","code":"# \\donttest{ params <-  NS_params sim <- project(params, effort=1, t_max=20, t_save = 2, progress_bar = FALSE) plot(sim)  # }"},{"path":"https://sizespectrum.org/mizer/reference/plotPredMort.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot predation mortality rate of each species against size — plotPredMort","title":"Plot predation mortality rate of each species against size — plotPredMort","text":"running projection, plot predation mortality rate species size. mortality rate averaged specified time range (single value time range can used plot single time step).","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotPredMort.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot predation mortality rate of each species against size — plotPredMort","text":"","code":"plotPredMort(object, ...)  # S3 method for class 'MizerSim' plotPredMort(   object,   species = NULL,   time_range,   all.sizes = FALSE,   highlight = NULL,   return_data = FALSE,   ... )  # S3 method for class 'MizerParams' plotPredMort(   object,   species = NULL,   all.sizes = FALSE,   highlight = NULL,   return_data = FALSE,   ... )  plotlyPredMort(object, species = NULL, time_range, highlight = NULL, ...)"},{"path":"https://sizespectrum.org/mizer/reference/plotPredMort.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot predation mortality rate of each species against size — plotPredMort","text":"object object class MizerSim MizerParams. ... arguments (currently unused) species species selected. Optional. default target species selected. vector species names, numeric vector species indices, logical vector indicating species whether selected (TRUE) . time_range time range (either vector values, vector min max time, single value) average abundances . Default final time step. Ignored called MizerParams object. .sizes TRUE, predation mortality plotted also sizes outside species' size range. Default FALSE. highlight Name vector names species highlighted. return_data boolean value determines whether formatted data used plot returned instead plot . Default value FALSE","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotPredMort.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot predation mortality rate of each species against size — plotPredMort","text":"ggplot2 object, unless return_data = TRUE, case data frame three variables 'w', 'value', 'Species' returned.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/plotPredMort.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot predation mortality rate of each species against size — plotPredMort","text":"","code":"# \\donttest{ params <-  NS_params sim <- project(params, effort=1, t_max=20, t_save = 2, progress_bar = FALSE) plotPredMort(sim)  plotPredMort(sim, time_range = 10:20)   # Returning the data frame fr <- plotPredMort(sim, return_data = TRUE) str(fr) #> 'data.frame':\t934 obs. of  4 variables: #>  $ w      : num  0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 ... #>  $ value  : num  2.67 1.11 3.87 4.24 3.4 ... #>  $ Species: chr  \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>  $ Legend : chr  \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... # }"},{"path":"https://sizespectrum.org/mizer/reference/plotSpectra.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot the abundance spectra — plotSpectra","title":"Plot the abundance spectra — plotSpectra","text":"Plots number density multiplied power weight, power specified power argument.","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotSpectra.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot the abundance spectra — plotSpectra","text":"","code":"plotSpectra(object, ...)  # S3 method for class 'MizerSim' plotSpectra(   object,   species = NULL,   time_range,   geometric_mean = FALSE,   wlim = c(NA, NA),   ylim = c(NA, NA),   power = 1,   biomass = TRUE,   total = FALSE,   resource = TRUE,   background = TRUE,   highlight = NULL,   return_data = FALSE,   ... )  # S3 method for class 'MizerParams' plotSpectra(   object,   species = NULL,   wlim = c(NA, NA),   ylim = c(NA, NA),   power = 1,   biomass = TRUE,   total = FALSE,   resource = TRUE,   background = TRUE,   highlight = NULL,   return_data = FALSE,   ... )  plotlySpectra(   object,   species = NULL,   time_range,   geometric_mean = FALSE,   wlim = c(NA, NA),   ylim = c(NA, NA),   power = 1,   biomass = TRUE,   total = FALSE,   resource = TRUE,   background = TRUE,   highlight = NULL,   ... )"},{"path":"https://sizespectrum.org/mizer/reference/plotSpectra.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot the abundance spectra — plotSpectra","text":"object object class MizerSim MizerParams. ... arguments (currently unused) species species selected. Optional. default target species selected. vector species names, numeric vector species indices, logical vector indicating species whether selected (TRUE) . time_range time range (either vector values, vector min max time, single value) average abundances . Default final time step. Ignored called MizerParams object. geometric_mean TRUE average abundances time range geometric mean instead default arithmetic mean. wlim numeric vector length two providing lower upper limits w axis. Use NA refer existing minimum maximum. Data filtered range axis limits set accordingly. ylim numeric vector length two providing lower upper limits y axis. Use NA refer existing minimum maximum. values 1e-20 always cut . Data filtered range axis limits set accordingly. power abundance plotted number density times weight raised power. default power = 1 gives biomass density, whereas power = 2 gives biomass density respect logarithmic size bins. biomass used power argument missing. biomass = TRUE equivalent power=1 biomass = FALSE equivalent power=0 total boolean value determines whether total species system plotted well. Note even plot shows selection species, total including species. Default FALSE. resource boolean value determines whether resource included. Default TRUE. background boolean value determines whether background species included. Ignored model contain background species. Default TRUE. highlight Name vector names species highlighted. return_data boolean value determines whether formatted data used plot returned instead plot . Default value FALSE","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotSpectra.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot the abundance spectra — plotSpectra","text":"ggplot2 object, unless return_data = TRUE, case data frame four variables 'w', 'value', 'Species', 'Legend' returned.","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotSpectra.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Plot the abundance spectra — plotSpectra","text":"called MizerSim object, abundance averaged specified time range (single value time range can used plot single time step). called MizerParams object initial abundance plotted.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/plotSpectra.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot the abundance spectra — plotSpectra","text":"","code":"# \\donttest{ params <-  NS_params sim <- project(params, effort=1, t_max=20, t_save = 2, progress_bar = FALSE) plotSpectra(sim)  plotSpectra(sim, wlim = c(1e-6, NA))  plotSpectra(sim, time_range = 10:20)  plotSpectra(sim, time_range = 10:20, power = 0)  plotSpectra(sim, species = c(\"Cod\", \"Herring\"), power = 1)   # Returning the data frame fr <- plotSpectra(sim, return_data = TRUE) str(fr) #> 'data.frame':\t1024 obs. of  4 variables: #>  $ w      : num  0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 ... #>  $ value  : num  1.83e+10 6.92e+09 1.30e+11 1.46e+10 1.69e+08 ... #>  $ Species: chr  \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>  $ Legend : chr  \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... # }"},{"path":"https://sizespectrum.org/mizer/reference/plotYield.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot the total yield of species through time — plotYield","title":"Plot the total yield of species through time — plotYield","text":"running projection, total yield species across fishing gears can plotted time. yield obtained getYield().","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotYield.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot the total yield of species through time — plotYield","text":"","code":"plotYield(sim, ...)  # S3 method for class 'MizerSim' plotYield(   sim,   sim2,   species = NULL,   total = FALSE,   log = TRUE,   highlight = NULL,   return_data = FALSE,   ... )  plotlyYield(   sim,   sim2,   species = NULL,   total = FALSE,   log = TRUE,   highlight = NULL,   ... )"},{"path":"https://sizespectrum.org/mizer/reference/plotYield.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot the total yield of species through time — plotYield","text":"sim object class MizerSim ... arguments (currently unused) sim2 optional second object class MizerSim. provided yields shown plot bolder lines. species species selected. Optional. default target species selected. vector species names, numeric vector species indices, logical vector indicating species whether selected (TRUE) . total boolean value determines whether total species system plotted well. Note even plot shows selection species, total including species. Default FALSE. log Boolean whether yield plotted logarithmic axis. Defaults true. highlight Name vector names species highlighted. return_data boolean value determines whether formatted data used plot returned instead plot . Default value FALSE","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotYield.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot the total yield of species through time — plotYield","text":"ggplot2 object, unless return_data = TRUE, case data frame three variables 'Year', 'Yield', 'Species' returned.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/plotYield.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot the total yield of species through time — plotYield","text":"","code":"# \\donttest{ params <- NS_params sim <- project(params, effort = 1, t_max = 20, t_save = 0.2, progress_bar = FALSE) plotYield(sim)  plotYield(sim, species = c(\"Cod\", \"Herring\"), total = TRUE)   # Comparing with yield from twice the effort sim2 <- project(params, effort=2, t_max=20, t_save = 0.2, progress_bar = FALSE) plotYield(sim, sim2, species = c(\"Cod\", \"Herring\"), log = FALSE)   # Returning the data frame fr <- plotYield(sim, return_data = TRUE) str(fr) #> 'data.frame':\t1212 obs. of  3 variables: #>  $ Year   : num  0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 ... #>  $ Yield  : num  2.21e+11 1.86e+11 1.60e+11 1.42e+11 1.30e+11 ... #>  $ Species: Factor w/ 12 levels \"Sprat\",\"Sandeel\",..: 1 1 1 1 1 1 1 1 1 1 ... # }"},{"path":"https://sizespectrum.org/mizer/reference/plotYieldGear.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot the total yield of each species by gear through time — plotYieldGear","title":"Plot the total yield of each species by gear through time — plotYieldGear","text":"running projection, total yield species fishing gear can plotted time.","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotYieldGear.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot the total yield of each species by gear through time — plotYieldGear","text":"","code":"plotYieldGear(sim, ...)  # S3 method for class 'MizerSim' plotYieldGear(   sim,   species = NULL,   gears = NULL,   total = FALSE,   highlight = NULL,   return_data = FALSE,   ... )  plotlyYieldGear(sim, species = NULL, total = FALSE, highlight = NULL, ...)"},{"path":"https://sizespectrum.org/mizer/reference/plotYieldGear.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot the total yield of each species by gear through time — plotYieldGear","text":"sim object class MizerSim ... arguments (currently unused) species species selected. Optional. default target species selected. vector species names, numeric vector species indices, logical vector indicating species whether selected (TRUE) . gears vector gear names included plot. Default gears. total boolean value determines whether total species system plotted well. Note even plot shows selection species, total including species. Default FALSE. highlight Name vector names species highlighted. return_data boolean value determines whether formatted data used plot returned instead plot . Default value FALSE","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotYieldGear.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot the total yield of each species by gear through time — plotYieldGear","text":"ggplot2 object, unless return_data = TRUE, case data frame four variables 'Year', 'Yield', 'Species' 'Gear' returned.","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotYieldGear.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Plot the total yield of each species by gear through time — plotYieldGear","text":"plot pretty easy hand. just gets biomass using getYieldGear() method plots using ggplot2 package. can fiddle colours linetypes etc. Just look source code details.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/plotYieldGear.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot the total yield of each species by gear through time — plotYieldGear","text":"","code":"# \\donttest{ params <-  NS_params sim <- project(params, effort=1, t_max=20, t_save = 0.2, progress_bar = FALSE) plotYieldGear(sim)  plotYieldGear(sim, species = c(\"Cod\", \"Herring\"), total = TRUE)   # Returning the data frame fr <- plotYieldGear(sim, return_data = TRUE) str(fr) #> 'data.frame':\t1212 obs. of  4 variables: #>  $ Year   : num  0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 ... #>  $ Yield  : num  2.21e+11 1.86e+11 1.60e+11 1.42e+11 1.30e+11 ... #>  $ Species: Factor w/ 12 levels \"Sprat\",\"Sandeel\",..: 1 1 1 1 1 1 1 1 1 1 ... #>  $ Gear   : Factor w/ 4 levels \"Industrial\",\"Pelagic\",..: 1 1 1 1 1 1 1 1 1 1 ... # }"},{"path":"https://sizespectrum.org/mizer/reference/plotYieldObservedVsModel.html","id":null,"dir":"Reference","previous_headings":"","what":"Plotting observed vs. model yields — plotYieldObservedVsModel","title":"Plotting observed vs. model yields — plotYieldObservedVsModel","text":"yield observations available least species via yield_observed column species parameter data frame, function plots yield species model observed yields. called MizerSim object, plot use model yields predicted final time step simulation.","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotYieldObservedVsModel.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plotting observed vs. model yields — plotYieldObservedVsModel","text":"","code":"plotYieldObservedVsModel(   object,   species = NULL,   ratio = FALSE,   log_scale = TRUE,   return_data = FALSE,   labels = TRUE,   show_unobserved = FALSE,   ... )  plotlyYieldObservedVsModel(   object,   species = NULL,   ratio = FALSE,   log_scale = TRUE,   show_unobserved = FALSE,   ... )"},{"path":"https://sizespectrum.org/mizer/reference/plotYieldObservedVsModel.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plotting observed vs. model yields — plotYieldObservedVsModel","text":"object object class MizerParams MizerSim. species species included. Optional. default observed yields included. vector species names, numeric vector species indices, logical vector indicating species whether included (TRUE) . ratio Whether plot model yield vs. observed yield (FALSE) ratio model : observed yield (TRUE). Default FALSE. log_scale Whether plot log10 scale (TRUE) (FALSE). non-ratio plot applies axes, ratio plot x-axis log10 scale. Default TRUE. return_data Whether return data frame plot (TRUE) (FALSE). Default FALSE. labels Whether show text labels species (TRUE) (FALSE). Default TRUE. show_unobserved Whether include also species yield observation available. TRUE, species shown observed yield equal model yield. ... Additional arguments passed generic function.","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotYieldObservedVsModel.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plotting observed vs. model yields — plotYieldObservedVsModel","text":"ggplot2 object plot model yield species compared observed yield. return_data = TRUE, data frame used create plot returned instead plot.","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotYieldObservedVsModel.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Plotting observed vs. model yields — plotYieldObservedVsModel","text":"can use function need added yield_observed column model gives observed yield grams per year.  species observed yield, set value yield_observed column 0 NA. total relative error shown caption plot, calculated $$TRE = \\sum_i|1-\\rm{ratio_i}|$$ \\(\\rm{ratio_i}\\) ratio model yield / observed yield species .","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotYieldObservedVsModel.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plotting observed vs. model yields — plotYieldObservedVsModel","text":"","code":"# create an example params <- NS_params species_params(params)$yield_observed <-     c(0.8, 61, 12, 35, 1.6, NA, 10, 7.6, 135, 60, 30, NA) params <- calibrateYield(params)  # Plot with default options plotYieldObservedVsModel(params) #> The following species are not being fished in your model and will not be included in the plot: Sprat, Sandeel, N.pout.   # Plot including also species without observations plotYieldObservedVsModel(params, show_unobserved = TRUE) #> The following species are not being fished in your model and will not be included in the plot: Sprat, Sandeel, N.pout.   # Show the ratio instead plotYieldObservedVsModel(params, ratio = TRUE) #> The following species are not being fished in your model and will not be included in the plot: Sprat, Sandeel, N.pout."},{"path":"https://sizespectrum.org/mizer/reference/plotting_functions.html","id":null,"dir":"Reference","previous_headings":"","what":"Description of the plotting functions — plotting_functions","title":"Description of the plotting functions — plotting_functions","text":"Mizer provides range plotting functions visualising results running simulation, stored MizerSim object, initial state stored MizerParams object. Every plotting function exists two versions, plotSomething plotlySomething. plotly version interactive suitable inclusion documents.","code":""},{"path":"https://sizespectrum.org/mizer/reference/plotting_functions.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Description of the plotting functions — plotting_functions","text":"table shows available plotting functions. functions use ggplot2 package return plot ggplot object. means can manipulate plot creation using ggplot grammar graphics. corresponding function names plot replaced plotly produce interactive plots help plotly package. addition named plot functions , mizer provides generic plot() methods ggplotly() methods array classes returned rate summary functions: plot(<ArraySpeciesBySize>) — plots species--size array (returned getEncounter(), getFeedingLevel(), getPredMort(), getFMort(), getSearchVolume(), etc.) lines value body size, one line per species. plot(<ArraySpeciesByTime>) — plots time--species array (returned getBiomass(), getSSB(), getYield(), getN() MizerSim) lines value time, one line per species. ggplotly() similar plot() produces interactive figure. Call ggplotly(getEncounter(params)) ggplotly(getBiomass(sim)). plot functions take data MizerSim object, make plots representing data single time can also take data initial values MizerParams object. plots show results species, line colour line type species specified linecolour linetype slots MizerParams object. either taken default palette hard-coded emptyParams() specified user species parameters dataframe used set MizerParams object. linecolour linetype slots hold named vectors, named species. can overwritten user time. plots allow user select show subset species, specified vector species argument plot function. ordering species legend ordering species parameter data frame.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/plotting_functions.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Description of the plotting functions — plotting_functions","text":"","code":"# \\donttest{ sim <- NS_sim  # Some example plots plotFeedingLevel(sim)   # Plotting only a subset of species plotFeedingLevel(sim, species = c(\"Cod\", \"Herring\"))   # Specifying new colours and linetypes for some species sim@params@linetype[\"Cod\"] <- \"dashed\" sim@params@linecolour[\"Cod\"] <- \"red\" plotFeedingLevel(sim, species = c(\"Cod\", \"Herring\"))   # Manipulating the plot library(ggplot2) p <- plotFeedingLevel(sim) p <- p + geom_hline(aes(yintercept = 0.7)) p <- p + theme_bw() p  # }"},{"path":"https://sizespectrum.org/mizer/reference/power_law_pred_kernel.html","id":null,"dir":"Reference","previous_headings":"","what":"Power-law predation kernel — power_law_pred_kernel","title":"Power-law predation kernel — power_law_pred_kernel","text":"predation kernel power-law, sigmoidal cut-offs large small predator/prey mass ratios.","code":""},{"path":"https://sizespectrum.org/mizer/reference/power_law_pred_kernel.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Power-law predation kernel — power_law_pred_kernel","text":"","code":"power_law_pred_kernel(   ppmr,   kernel_exp,   kernel_l_l,   kernel_u_l,   kernel_l_r,   kernel_u_r )"},{"path":"https://sizespectrum.org/mizer/reference/power_law_pred_kernel.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Power-law predation kernel — power_law_pred_kernel","text":"ppmr vector predator/prey size ratios evaluate predation kernel. kernel_exp exponent power law kernel_l_l location left, rising sigmoid kernel_u_l shape left, rising sigmoid kernel_l_r location right, falling sigmoid kernel_u_r shape right, falling sigmoid","code":""},{"path":"https://sizespectrum.org/mizer/reference/power_law_pred_kernel.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Power-law predation kernel — power_law_pred_kernel","text":"vector giving value predation kernel predator/prey mass ratios ppmr argument.","code":""},{"path":"https://sizespectrum.org/mizer/reference/power_law_pred_kernel.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Power-law predation kernel — power_law_pred_kernel","text":"return value calculated ppmr^kernel_exp /   (1 + (exp(kernel_l_l) / ppmr)^kernel_u_l) /   (1 + (ppmr / exp(kernel_l_r))^kernel_u_r) parameters need given columns species parameter dataframe.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/power_law_pred_kernel.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Power-law predation kernel — power_law_pred_kernel","text":"","code":"params <- NS_params # Set all required paramters before changing kernel type species_params(params)[\"Cod\", \"kernel_exp\"] <- -0.8 species_params(params)[\"Cod\", \"kernel_l_l\"] <- 4.6 species_params(params)[\"Cod\", \"kernel_u_l\"] <- 3 species_params(params)[\"Cod\", \"kernel_l_r\"] <- 12.5 species_params(params)[\"Cod\", \"kernel_u_r\"] <- 4.3 species_params(params)[\"Cod\", \"pred_kernel_type\"] <- \"power_law\" plot(w_full(params), getPredKernel(params)[\"Cod\", 10, ], type=\"l\", log=\"x\")"},{"path":"https://sizespectrum.org/mizer/reference/project.html","id":null,"dir":"Reference","previous_headings":"","what":"Project size spectrum forward in time — project","title":"Project size spectrum forward in time — project","text":"Runs size spectrum model simulation. function returns object type MizerSim can explored range summary_functions, indicator_functions plotting_functions.","code":""},{"path":"https://sizespectrum.org/mizer/reference/project.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Project size spectrum forward in time — project","text":"","code":"project(   object,   effort,   t_max = 100,   dt = 0.1,   t_save = 1,   t_start = 0,   initial_n,   initial_n_pp,   append = TRUE,   progress_bar = TRUE,   ... )  # S3 method for class 'MizerParams' project(   object,   effort,   t_max = 100,   dt = 0.1,   t_save = 1,   t_start = 0,   initial_n,   initial_n_pp,   append = TRUE,   progress_bar = TRUE,   ... )  # S3 method for class 'MizerSim' project(   object,   effort,   t_max = 100,   dt = 0.1,   t_save = 1,   t_start = 0,   initial_n,   initial_n_pp,   append = TRUE,   progress_bar = TRUE,   ... )"},{"path":"https://sizespectrum.org/mizer/reference/project.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Project size spectrum forward in time — project","text":"object Either MizerParams object MizerSim object (contains MizerParams object). effort effort fishing gear time. See notes . t_max number years projection runs . default value 100. effort array supplied, argument can used extend simulation beyond times specified effort array. See notes . dt Time step solver. default value 0.1. t_save frequency output stored. default value 1. effort array supplied, argument can used control times simulation results saved. See notes . t_start year start simulation. simulation cover period t_start t_start + t_max. Defaults 0. Ignored array used effort argument MizerSim object argument. initial_n initial abundances species. Instead using argument set initialN(params) desired value. initial_n_pp initial abundances resource. Instead using argument set initialNResource(params) desired value. append boolean determines whether new simulation results appended previous ones. relevant object MizerSim object. Default = TRUE. progress_bar Either boolean value determine whether progress bar shown console, shiny Progress object implement progress bar shiny app. ... arguments passed rate functions.","code":""},{"path":"https://sizespectrum.org/mizer/reference/project.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Project size spectrum forward in time — project","text":"object class MizerSim.","code":""},{"path":"https://sizespectrum.org/mizer/reference/project.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"Project size spectrum forward in time — project","text":"effort argument specifies level fishing effort simulation. supplied, initial effort stored params object used. effort can specified four different ways: single numeric value. specifies effort fishing gears constant time (.e. gears constant effort). named vector whose names match existing gear names. values vector specify constant fishing effort fishing gears, .e. effort constant time. effort gears included effort vector set default effort value, 1 defaults edition 2 later 0 earlier defaults editions. Missing (NA) effort entries replaced way. numerical vector length number fishing gears. values vector specify constant fishing effort fishing gears, ordering assumed MizerParams object. numerical array dimensions time x gear. specifies fishing effort gear time step.  first dimension, time, must named numerically increasing. second dimension array must named names must correspond gear names MizerParams object. value effort particular time used interval time next time array. effort specified array smallest time array used initial time simulation. Otherwise initial time set final time previous simulation object MizerSim object t_start otherwise. effort array provided, t_max argument can used extend simulation beyond last time specified effort array. case, effort values last time array used extended period. t_save argument can used specify frequency simulation results saved. t_save supplied, results saved times specified effort array. t_max t_save provided effort array, effort values interpolated (using step function) extrapolated (using last known value) needed new time points. t_start argument continues ignored effort array supplied. Note t_max t_save specified, time grid simulation resampled based t_save. means time points effort array irregular align new grid, specific time points may lost effort values new grid points calculated via interpolation. object argument class MizerSim initial values simulation taken final values MizerSim object corresponding arguments function ignored.","code":""},{"path":"https://sizespectrum.org/mizer/reference/project.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Project size spectrum forward in time — project","text":"","code":"# \\donttest{ params <- NS_params # With constant fishing effort for all gears for 20 time steps sim <- project(params, t_max = 20, effort = 0.5) # With constant fishing effort which is different for each gear effort <- c(Industrial = 0, Pelagic = 1, Beam = 0.5, Otter = 0.5) sim <- project(params, t_max = 20, effort = effort) # With fishing effort that varies through time for each gear gear_names <- c(\"Industrial\", \"Pelagic\", \"Beam\", \"Otter\") times <- seq(from = 1, to = 10, by = 1) effort_array <- array(NA,     dim = c(length(times), length(gear_names)),     dimnames = list(time = times, gear = gear_names) ) effort_array[, \"Industrial\"] <- 0.5 effort_array[, \"Pelagic\"] <- seq(from = 1, to = 2, length = length(times)) effort_array[, \"Beam\"] <- seq(from = 1, to = 0, length = length(times)) effort_array[, \"Otter\"] <- seq(from = 1, to = 0.5, length = length(times)) sim <- project(params, effort = effort_array) # Extend a simulation beyond the effort array times # Effort values from the final time are used for the extension sim <- project(params, effort = effort_array, t_max = 15) # Control save times with an effort array using t_save sim <- project(params, effort = effort_array, t_save = 2) # }"},{"path":"https://sizespectrum.org/mizer/reference/projectRDD.html","id":null,"dir":"Reference","previous_headings":"","what":"Get density-dependent reproduction rate during projection — projectRDD","title":"Get density-dependent reproduction rate during projection — projectRDD","text":"S3 generic used extension-aware projections calculate density-dependent reproduction rate. base method calls selected density-dependence function params@rates_funcs$RDD.","code":""},{"path":"https://sizespectrum.org/mizer/reference/projectRDD.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get density-dependent reproduction rate during projection — projectRDD","text":"","code":"projectRDD(params, rdi, species_params = params@species_params, t = 0, ...)  # S3 method for class 'MizerParams' projectRDD(params, rdi, species_params = params@species_params, t = 0, ...)"},{"path":"https://sizespectrum.org/mizer/reference/projectRDD.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get density-dependent reproduction rate during projection — projectRDD","text":"params MizerParams object. rdi Vector density-independent reproduction rates \\(R_{di}\\) species. species_params species parameter dataframe. Must contain column R_max holding maximum reproduction rate \\(R_{max}\\) species. t time calculation. ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/projectRDD.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get density-dependent reproduction rate during projection — projectRDD","text":"Vector density-dependent reproduction rates.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/projectToSteady.html","id":null,"dir":"Reference","previous_headings":"","what":"Project to steady state — projectToSteady","title":"Project to steady state — projectToSteady","text":"Run full dynamics, project(), stop change slowed sufficiently, sense distance states successive time steps less tol. determine distance calculated.","code":""},{"path":"https://sizespectrum.org/mizer/reference/projectToSteady.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Project to steady state — projectToSteady","text":"","code":"projectToSteady(   params,   effort = params@initial_effort,   distance_func = distanceSSLogN,   t_per = 1.5,   t_max = 100,   dt = 0.1,   tol = 0.1 * t_per,   return_sim = FALSE,   progress_bar = TRUE,   info_level = 3,   ... )"},{"path":"https://sizespectrum.org/mizer/reference/projectToSteady.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Project to steady state — projectToSteady","text":"params MizerParams object effort fishing effort used throughout simulation. validated validEffortVector() can therefore NULL, single numeric value used gears, unnamed numeric vector one entry per gear, named numeric vector gears. distance_func function called every t_per years previous new state return number sense measures distance states. default uses function distanceSSLogN() can use model distance function. t_per simulation broken shorter runs t_per years, check convergence. Default value 1.5. chosen odd multiple timestep dt order able detect period 2 cycles. t_max maximum number years run simulation. Default 100. dt time step use project(). tol simulation stops relative change egg production RDI t_per years less tol every species. return_sim TRUE, function returns MizerSim object holding result simulation run, saved intervals t_per. FALSE (default) function returns MizerParams object \"initial\" slots set steady state. progress_bar shiny progress object implement progress bar shiny app. Default FALSE. info_level Controls amount information messages shown. Higher levels lead messages. ... arguments passed distance function.","code":""},{"path":"https://sizespectrum.org/mizer/reference/projectToSteady.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Project to steady state — projectToSteady","text":"return_sim = FALSE, MizerParams object initial state replaced final state found steady-state search. return_sim = TRUE, MizerSim object containing intermediate states saved every t_per years.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/project_n.html","id":null,"dir":"Reference","previous_headings":"","what":"Project values for first time step of Euler method — project_n","title":"Project values for first time step of Euler method — project_n","text":"internal function used user-facing project() function. potential interest mizer extension authors.","code":""},{"path":"https://sizespectrum.org/mizer/reference/project_n.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Project values for first time step of Euler method — project_n","text":"","code":"project_n(params, r, n, dt, a, b, c, S, idx, w_min_idx_array_ref, no_sp, no_w)  project_n_no_diffusion(   params,   r,   n,   dt,   a,   b,   S,   idx,   w_min_idx_array_ref,   no_sp,   no_w )"},{"path":"https://sizespectrum.org/mizer/reference/project_n.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Project values for first time step of Euler method — project_n","text":"params MizerParams object. r list rates returned mizerRates(). n array (species x size) number density current time step. dt Time step. matrix (species x size) used solver (transport term). b matrix (species x size) used solver (diagonal term). c matrix (species x size) used solver (transport term). S matrix (species x size) used solver (source term). idx Index vector size bins (excluding first one). w_min_idx_array_ref Index vector start size spectrum species. no_sp Number species. no_w Number size bins.","code":""},{"path":"https://sizespectrum.org/mizer/reference/project_n.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Project values for first time step of Euler method — project_n","text":"updated abundance density matrix n.","code":""},{"path":"https://sizespectrum.org/mizer/reference/project_n.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Project values for first time step of Euler method — project_n","text":"function calculates abundance next time step using McKendrick-von Foerster equation: $$\\frac{\\partial N}{\\partial t} + \\frac{\\partial}{\\partial w} \\left( g N - \\frac{1}{2}\\frac{\\partial(D N)}{\\partial w} \\right) = -\\mu N$$ solved using semi-implicit upwind finite volume scheme.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/project_simple.html","id":null,"dir":"Reference","previous_headings":"","what":"Project abundances by a given number of time steps into the future — project_simple","title":"Project abundances by a given number of time steps into the future — project_simple","text":"internal function used user-facing project() function. potential interest mizer extension authors.","code":""},{"path":"https://sizespectrum.org/mizer/reference/project_simple.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Project abundances by a given number of time steps into the future — project_simple","text":"","code":"project_simple(   params,   n,   n_pp,   n_other,   effort,   t,   dt,   steps,   resource_dynamics_fn,   other_dynamics_fns,   rates_fns,   ... )"},{"path":"https://sizespectrum.org/mizer/reference/project_simple.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Project abundances by a given number of time steps into the future — project_simple","text":"params MizerParams object. n array (species x size) number density start simulation. n_pp vector (size) resource number density start simulation. n_other named list abundances components start simulation. effort fishing effort used throughout simulation. must vector list one named entry per fishing gear. t Time start simulation. dt Size time step. steps number time steps project. resource_dynamics_fn function resource dynamics. See Details. other_dynamics_fns List functions dynamics components. See Details. rates_fns List functions calculating rates. See Details. ... arguments passed rate functions.","code":""},{"path":"https://sizespectrum.org/mizer/reference/project_simple.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Project abundances by a given number of time steps into the future — project_simple","text":"List final values n, n_pp, n_other, together rates, rates calculated start final update step.","code":""},{"path":"https://sizespectrum.org/mizer/reference/project_simple.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Project abundances by a given number of time steps into the future — project_simple","text":"function check arguments meant fast possible allow used loop. example, called project() every saved value. function also save intermediate results returns result time t + dt * steps. time uses constant fishing effort effort. functional arguments can calculated slots params object   reason function shave 20 microseconds running time, pays function called hundreds times row. function also used steady(). calls project_simple() steady() function checks whether values still changing significantly, can stop steady state approached. Mizer extension packages might similar need run simulation repeatedly short periods run code . code may want use values rates final update step, included returned list.","code":"resource_dynamics_fn <- get(params@resource_dynamics) other_dynamics_fns <- lapply(params@other_dynamics, get) rates_fns <- lapply(params@rates_funcs, get)"},{"path":"https://sizespectrum.org/mizer/reference/reexports.html","id":null,"dir":"Reference","previous_headings":"","what":"Objects exported from other packages — reexports","title":"Objects exported from other packages — reexports","text":"objects imported packages. Follow links see documentation. plotly ggplotly() reshape2 melt()","code":""},{"path":"https://sizespectrum.org/mizer/reference/registerExtension.html","id":null,"dir":"Reference","previous_headings":"","what":"Register a single mizer extension for this R session — registerExtension","title":"Register a single mizer extension for this R session — registerExtension","text":"Prepends one extension front active extension chain, giving highest dispatch priority. Designed called package's .onLoad hook chain grows naturally load order: last package loaded ends outermost.","code":""},{"path":"https://sizespectrum.org/mizer/reference/registerExtension.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Register a single mizer extension for this R session — registerExtension","text":"","code":"registerExtension(name, requirement = NA_character_, install = FALSE)"},{"path":"https://sizespectrum.org/mizer/reference/registerExtension.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Register a single mizer extension for this R session — registerExtension","text":"name syntactically valid R name identifying extension (e.g. \"mizerExtA\"). name used S4 marker class name. requirement version string, installation specification, NA_character_ (default). NA_character_ marks -development extension whose S4 marker class mizer creates automatically. version string \"1.2.0\" records minimum required package version. install Logical. TRUE, attempt install missing extension package.","code":""},{"path":"https://sizespectrum.org/mizer/reference/registerExtension.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Register a single mizer extension for this R session — registerExtension","text":"updated extension chain, invisibly.","code":""},{"path":"https://sizespectrum.org/mizer/reference/registerExtension.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Register a single mizer extension for this R session — registerExtension","text":"call idempotent: extension already registered position chain, function returns silently without modifying chain. makes safe call devtools::load_all(), re-executes .onLoad.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/registerExtensions.html","id":null,"dir":"Reference","previous_headings":"","what":"Register mizer extensions for this R session — registerExtensions","title":"Register mizer extensions for this R session — registerExtensions","text":"Registers explicit full extension chain current R session. order extensions S3 dispatch order, outermost innermost extension. example c(mizerExtB = \"1.2.0\", mizerExtA = \"0.4.1\") dispatches mizerExtB methods first, mizerExtA methods, base mizer methods.","code":""},{"path":"https://sizespectrum.org/mizer/reference/registerExtensions.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Register mizer extensions for this R session — registerExtensions","text":"","code":"registerExtensions(extensions, install = FALSE)"},{"path":"https://sizespectrum.org/mizer/reference/registerExtensions.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Register mizer extensions for this R session — registerExtensions","text":"extensions named character vector. Names extension identifiers. Values version strings, installation specifications, NA_character_. Installed extensions participate S3 dispatch provide S4 marker class name. NA_character_ entries treated -development dispatch extensions mizer creates marker classes automatically. install Logical. TRUE, missing outdated extension packages installed via pak::pkg_install(). Version strings install CRAN; requirement strings (e.g. \"user/repo@v1.2.0\") passed directly pak may refer GitHub, local paths, pak-supported source.","code":""},{"path":"https://sizespectrum.org/mizer/reference/registerExtensions.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Register mizer extensions for this R session — registerExtensions","text":"active maximal extension chain, invisibly.","code":""},{"path":"https://sizespectrum.org/mizer/reference/registerExtensions.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Register mizer extensions for this R session — registerExtensions","text":"session can handle objects whose extension chain suffix registered maximal chain. example, registering c(mizerExtB = \"1.2.0\", mizerExtA = \"0.4.1\"), objects using c(mizerExtA = \"0.4.1\") also valid. extension packages register incrementally .onLoad, use registerExtension() instead.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/removeBackgroundSpecies.html","id":null,"dir":"Reference","previous_headings":"","what":"Remove all background species — removeBackgroundSpecies","title":"Remove all background species — removeBackgroundSpecies","text":"Removes species marked background species markBackground().","code":""},{"path":"https://sizespectrum.org/mizer/reference/removeBackgroundSpecies.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Remove all background species — removeBackgroundSpecies","text":"","code":"removeBackgroundSpecies(params)"},{"path":"https://sizespectrum.org/mizer/reference/removeBackgroundSpecies.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Remove all background species — removeBackgroundSpecies","text":"params MizerParams object","code":""},{"path":"https://sizespectrum.org/mizer/reference/removeBackgroundSpecies.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Remove all background species — removeBackgroundSpecies","text":"MizerParams object background species removed","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/removeSpecies.html","id":null,"dir":"Reference","previous_headings":"","what":"Remove species — removeSpecies","title":"Remove species — removeSpecies","text":"function simply removes entries MizerParams object refer selected species. recalculate steady state remaining species retune reproductive efficiency.","code":""},{"path":"https://sizespectrum.org/mizer/reference/removeSpecies.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Remove species — removeSpecies","text":"","code":"removeSpecies(params, species, ...)"},{"path":"https://sizespectrum.org/mizer/reference/removeSpecies.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Remove species — removeSpecies","text":"params mizer params object original system. species species removed. vector species names, numeric vector species indices, logical vector indicating species whether removed (TRUE) . ... Additional arguments","code":""},{"path":"https://sizespectrum.org/mizer/reference/removeSpecies.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Remove species — removeSpecies","text":"object type MizerParams","code":""},{"path":"https://sizespectrum.org/mizer/reference/removeSpecies.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Remove species — removeSpecies","text":"gear targeting removed species, function remove gear. want also remove gear can calling setFishing().","code":""},{"path":"https://sizespectrum.org/mizer/reference/removeSpecies.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Remove species — removeSpecies","text":"","code":"params <- NS_params species_params(params)$species #>  [1] \"Sprat\"   \"Sandeel\" \"N.pout\"  \"Herring\" \"Dab\"     \"Whiting\" \"Sole\"    #>  [8] \"Gurnard\" \"Plaice\"  \"Haddock\" \"Cod\"     \"Saithe\"  params <- removeSpecies(params, c(\"Cod\", \"Haddock\")) species_params(params)$species #>  [1] \"Sprat\"   \"Sandeel\" \"N.pout\"  \"Herring\" \"Dab\"     \"Whiting\" \"Sole\"    #>  [8] \"Gurnard\" \"Plaice\"  \"Saithe\""},{"path":"https://sizespectrum.org/mizer/reference/renameGear.html","id":null,"dir":"Reference","previous_headings":"","what":"Rename gears — renameGear","title":"Rename gears — renameGear","text":"Changes names gears MizerParams object. involves example changing gear dimension names selectivity catchability arrays appropriately.","code":""},{"path":"https://sizespectrum.org/mizer/reference/renameGear.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Rename gears — renameGear","text":"","code":"renameGear(params, replace, ...)"},{"path":"https://sizespectrum.org/mizer/reference/renameGear.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Rename gears — renameGear","text":"params mizer params object replace named character vector, new names values, old names names. ... Additional arguments","code":""},{"path":"https://sizespectrum.org/mizer/reference/renameGear.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Rename gears — renameGear","text":"object type MizerParams","code":""},{"path":"https://sizespectrum.org/mizer/reference/renameGear.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Rename gears — renameGear","text":"","code":"replace <- c(Industrial = \"Trawl\", Otter = \"Beam_Trawl\") params <- renameGear(NS_params, replace) gear_params(params)$gear #>  [1] \"Trawl\"      \"Trawl\"      \"Trawl\"      \"Pelagic\"    \"Beam\"       #>  [6] \"Beam_Trawl\" \"Beam\"       \"Beam_Trawl\" \"Beam\"       \"Beam_Trawl\" #> [11] \"Beam_Trawl\" \"Beam_Trawl\""},{"path":"https://sizespectrum.org/mizer/reference/renameSpecies.html","id":null,"dir":"Reference","previous_headings":"","what":"Rename species — renameSpecies","title":"Rename species — renameSpecies","text":"Changes names species MizerParams object. involves example changing species dimension names rate arrays appropriately.","code":""},{"path":"https://sizespectrum.org/mizer/reference/renameSpecies.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Rename species — renameSpecies","text":"","code":"renameSpecies(params, replace, ...)"},{"path":"https://sizespectrum.org/mizer/reference/renameSpecies.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Rename species — renameSpecies","text":"params mizer params object replace named character vector, new names values, old names names. ... Additional arguments","code":""},{"path":"https://sizespectrum.org/mizer/reference/renameSpecies.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Rename species — renameSpecies","text":"object type MizerParams","code":""},{"path":"https://sizespectrum.org/mizer/reference/renameSpecies.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Rename species — renameSpecies","text":"","code":"replace <- c(Cod = \"Kabeljau\", Haddock = \"Schellfisch\") params <- renameSpecies(NS_params, replace) species_params(params)$species #>  [1] \"Sprat\"       \"Sandeel\"     \"N.pout\"      \"Herring\"     \"Dab\"         #>  [6] \"Whiting\"     \"Sole\"        \"Gurnard\"     \"Plaice\"      \"Schellfisch\" #> [11] \"Kabeljau\"    \"Saithe\""},{"path":"https://sizespectrum.org/mizer/reference/resource_constant.html","id":null,"dir":"Reference","previous_headings":"","what":"Keep resource abundance constant — resource_constant","title":"Keep resource abundance constant — resource_constant","text":"set resource dynamics use function resource abundances kept constant time.","code":""},{"path":"https://sizespectrum.org/mizer/reference/resource_constant.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Keep resource abundance constant — resource_constant","text":"","code":"resource_constant(params, n_pp, ...)"},{"path":"https://sizespectrum.org/mizer/reference/resource_constant.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Keep resource abundance constant — resource_constant","text":"params MizerParams object n_pp vector resource abundance size ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/resource_constant.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Keep resource abundance constant — resource_constant","text":"Vector containing resource number density size class next timestep","code":""},{"path":"https://sizespectrum.org/mizer/reference/resource_constant.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Keep resource abundance constant — resource_constant","text":"set model keep resource constant time   replace params name variable holding MizerParams object.","code":"resource_dynamics(params) <- \"resource_constant\""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/resource_constant.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Keep resource abundance constant — resource_constant","text":"","code":"params <- NS_params resource_dynamics(params) <- \"resource_constant\""},{"path":"https://sizespectrum.org/mizer/reference/resource_logistic.html","id":null,"dir":"Reference","previous_headings":"","what":"Project resource using logistic model — resource_logistic","title":"Project resource using logistic model — resource_logistic","text":"set resource dynamics use function time evolution resource spectrum described logistic equation $$\\frac{\\partial N_R(w,t)}{\\partial t} = r_R(w) N_R(w)\\Big[ 1 - \\frac{N_R(w,t)}{c_R (w)} \\Big] - \\mu_R(w, t) N_R(w,t)$$","code":""},{"path":"https://sizespectrum.org/mizer/reference/resource_logistic.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Project resource using logistic model — resource_logistic","text":"","code":"resource_logistic(   params,   n,   n_pp,   n_other,   rates,   t,   dt,   resource_rate,   resource_capacity,   ... )  balance_resource_logistic(params, resource_rate, resource_capacity)"},{"path":"https://sizespectrum.org/mizer/reference/resource_logistic.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Project resource using logistic model — resource_logistic","text":"params MizerParams object n matrix species abundances (species x size) n_pp vector resource abundance size n_other list abundances components rates list rates returned mizerRates() t current time dt Time step resource_rate Resource replenishment rate resource_capacity Resource carrying capacity ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/resource_logistic.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Project resource using logistic model — resource_logistic","text":"Vector containing resource number density size class next timestep","code":""},{"path":"https://sizespectrum.org/mizer/reference/resource_logistic.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Project resource using logistic model — resource_logistic","text":"\\(r_R(w)\\) resource regeneration rate \\(c_R(w)\\) carrying capacity absence predation. parameters changed setResource(). mortality \\(\\mu_R(w, t)\\) due predation consumers calculate getResourceMort(). function uses analytic solution equation calculate resource abundance time t + dt abundances rates time t, keeping mortality fixed timestep. set model use logistic dynamics resource   replace params name variable holding MizerParams object. can course choose value 0 1 resource level. balance_resource_logistic() function called setResource() determine values resource parameters needed make replenishment rate size equal consumption rate size, calculated getResourceMort(). called exactly one resource_rate resource_capacity returns named list values . resource_rate supplied must least large current mortality size. resource_capacity supplied must less current resource abundance. equals current resource abundance positive consumption, nudged upwards slightly avoid division zero.","code":"params <- setResource(params,                       resource_dynamics = \"resource_logistic\",                       resource_level = 0.5)"},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/resource_params.html","id":null,"dir":"Reference","previous_headings":"","what":"Resource parameters — resource_params","title":"Resource parameters — resource_params","text":"recommended way change resource dynamics parameters use setResource(). resource_params list contains values helpful setting actual size-dependent parameters setResource(). specified custom resource dynamics function requires additional parameters, also added resource_params list.","code":""},{"path":"https://sizespectrum.org/mizer/reference/resource_params.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Resource parameters — resource_params","text":"","code":"resource_params(params)  resource_params(params) <- value"},{"path":"https://sizespectrum.org/mizer/reference/resource_params.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Resource parameters — resource_params","text":"params MizerParams object value named list resource parameters.","code":""},{"path":"https://sizespectrum.org/mizer/reference/resource_params.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Resource parameters — resource_params","text":"named list resource parameters.","code":""},{"path":"https://sizespectrum.org/mizer/reference/resource_params.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Resource parameters — resource_params","text":"resource_params list least contain slots kappa, lambda, w_pp_cutoff n. resource parameter n exponent power-law form replenishment rate \\(r_R(w)\\): $$r_R(w) = r_R\\, w^{n-1}.$$ resource parameter lambda (\\(\\lambda\\)) exponent power-law form carrying capacity \\(c_R(w)\\) w_pp_cutoff cutoff value: $$c_R(w) = c_R w^{-\\lambda}$$ \\(w\\) less w_pp_cutoff zero larger sizes. resource parameter kappa (\\(\\kappa\\)) slightly different parameter resource dynamics. Instead parameter determined initial resource abundance model created: $$N_R(w) = \\kappa\\, w^{-\\lambda}$$ \\(w\\) less w_pp_cutoff zero larger sizes. Note initial resource abundance changed setResource() even change value kappa resource_params.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/resource_semichemostat.html","id":null,"dir":"Reference","previous_headings":"","what":"Project resource using semichemostat model — resource_semichemostat","title":"Project resource using semichemostat model — resource_semichemostat","text":"set resource dynamics use function time evolution resource spectrum described semi-chemostat equation $$\\frac{\\partial N_R(w,t)}{\\partial t} = r_R(w) \\Big[ c_R (w) - N_R(w,t) \\Big] - \\mu_R(w, t) N_R(w,t)$$","code":""},{"path":"https://sizespectrum.org/mizer/reference/resource_semichemostat.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Project resource using semichemostat model — resource_semichemostat","text":"","code":"resource_semichemostat(   params,   n,   n_pp,   n_other,   rates,   t,   dt,   resource_rate,   resource_capacity,   ... )  balance_resource_semichemostat(params, resource_rate, resource_capacity)"},{"path":"https://sizespectrum.org/mizer/reference/resource_semichemostat.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Project resource using semichemostat model — resource_semichemostat","text":"params MizerParams object n matrix species abundances (species x size) n_pp vector resource abundance size n_other list abundances components rates list rates returned mizerRates() t current time dt Time step resource_rate Resource replenishment rate resource_capacity Resource carrying capacity ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/resource_semichemostat.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Project resource using semichemostat model — resource_semichemostat","text":"Vector containing resource number density size class next timestep","code":""},{"path":"https://sizespectrum.org/mizer/reference/resource_semichemostat.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Project resource using semichemostat model — resource_semichemostat","text":"\\(r_R(w)\\) resource regeneration rate \\(c_R(w)\\) carrying capacity absence predation. parameters changed setResource(). mortality \\(\\mu_R(w, t)\\) due predation consumers calculate getResourceMort(). function uses analytic solution equation calculate resource abundance time t + dt abundances rates time t, keeping mortality fixed timestep. set model use semichemostat dynamics resource   replace params name variable holding MizerParams object. can course choose value 0 1 resource level. balance_resource_semichemostat() function called setResource() determine values resource parameters needed make replenishment rate size equal consumption rate size, calculated getResourceMort(). called one resource_rate resource_capacity returns named list values . resource_rate supplied must positive wherever current resource mortality positive. resource_capacity supplied must less current resource abundance. equals current resource abundance positive consumption, nudged upwards slightly avoid division zero.","code":"params <- setResource(params,                       resource_dynamics = \"resource_semichemostat\",                       resource_level = 0.5)"},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/saveParams.html","id":null,"dir":"Reference","previous_headings":"","what":"Save and restore mizer objects — saveParams","title":"Save and restore mizer objects — saveParams","text":"saveParams() saves MizerParams object file. can restored readParams(). saveSim() readSim() provide lifecycle MizerSim objects.","code":""},{"path":"https://sizespectrum.org/mizer/reference/saveParams.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Save and restore mizer objects — saveParams","text":"","code":"saveParams(params, file)  readParams(file, install_extensions = FALSE)  saveSim(sim, file)  readSim(file, install_extensions = FALSE)"},{"path":"https://sizespectrum.org/mizer/reference/saveParams.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Save and restore mizer objects — saveParams","text":"params MizerParams object file name file connection object saved read . install_extensions Logical. readParams() readSim() attempt install missing extension packages registering saved extension chain? sim MizerSim object","code":""},{"path":"https://sizespectrum.org/mizer/reference/saveParams.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Save and restore mizer objects — saveParams","text":"saveParams() saveSim() return NULL invisibly. readParams() returns MizerParams object. readSim() returns MizerSim object.","code":""},{"path":"https://sizespectrum.org/mizer/reference/saveParams.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Save and restore mizer objects — saveParams","text":"Issues warning model saving relies custom functions. saving model may want set metadata setMetadata().","code":""},{"path":"https://sizespectrum.org/mizer/reference/scaleModel.html","id":null,"dir":"Reference","previous_headings":"","what":"Change scale of the model — scaleModel","title":"Change scale of the model — scaleModel","text":"abundances mizer rates depend size area refer. given per square meter per square kilometer entire study area choice . function allows change scale model automatically changing abundances rates accordingly.","code":""},{"path":"https://sizespectrum.org/mizer/reference/scaleModel.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Change scale of the model — scaleModel","text":"","code":"scaleModel(params, factor, ...)"},{"path":"https://sizespectrum.org/mizer/reference/scaleModel.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Change scale of the model — scaleModel","text":"params MizerParams object factor factor scale multiplied ... Additional arguments passed method.","code":""},{"path":"https://sizespectrum.org/mizer/reference/scaleModel.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Change scale of the model — scaleModel","text":"rescaled MizerParams object","code":""},{"path":"https://sizespectrum.org/mizer/reference/scaleModel.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Change scale of the model — scaleModel","text":"rescale model factor \\(c\\) function makes following rescalings params object: initial abundances rescaled \\(c\\). search volume rescaled \\(1/c\\). resource carrying capacity rescaled \\(c\\) maximum reproduction rate \\(R_{max}\\) rescaled \\(c\\). effect dynamics rescaled model identical unscaled model, sense matter whether one first calls scaleModel() runs simulation project() whether one first runs simulation rescales resulting abundances. Note use non-standard resource dynamics components may need rescale additional parameters appear dynamics. practice need use observations set scale model. biomass observations can use calibrateBiomass(), yearly yields can use calibrateYield().","code":""},{"path":"https://sizespectrum.org/mizer/reference/scaleRates.html","id":null,"dir":"Reference","previous_headings":"","what":"Rescale all rates in a mizer model — scaleRates","title":"Rescale all rates in a mizer model — scaleRates","text":"Multiplies rates model given factor. Rescaling rates factor \\(f\\) equivalent rescaling time \\(f\\): speeds (slows ) dynamics without affecting steady state species, provided resource spectrum held steady-state value.","code":""},{"path":"https://sizespectrum.org/mizer/reference/scaleRates.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Rescale all rates in a mizer model — scaleRates","text":"","code":"scaleRates(params, factor, ...)"},{"path":"https://sizespectrum.org/mizer/reference/scaleRates.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Rescale all rates in a mizer model — scaleRates","text":"params MizerParams object factor positive factor rates multiplied. ... Currently unused.","code":""},{"path":"https://sizespectrum.org/mizer/reference/scaleRates.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Rescale all rates in a mizer model — scaleRates","text":"MizerParams object rates rescaled factor.","code":""},{"path":"https://sizespectrum.org/mizer/reference/scaleRates.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Rescale all rates in a mizer model — scaleRates","text":"following rates associated species parameters rescaled: Search volume (search_vol slot gamma species parameter) Maximum intake rate (intake_max slot h species parameter) Metabolic rate (metab slot ks, k species parameters) External mortality (mu_b slot z0, z_ext, z0pre species parameters) External encounter rate (ext_encounter slot E_ext species parameter) External diffusion (ext_diffusion slot D_ext species parameter) Catchability (catchability slot catchability column gear_params) Maximum reproduction rate (R_max species parameter) Resource growth rate (rr_pp slot) rate arrays stored MizerParams slots associated species parameters species_params given_species_params rescaled, parameters remain consistent rate arrays.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/setBevertonHolt.html","id":null,"dir":"Reference","previous_headings":"","what":"Set Beverton-Holt reproduction without changing the steady state — setBevertonHolt","title":"Set Beverton-Holt reproduction without changing the steady state — setBevertonHolt","text":"Takes MizerParams object params arbitrary density dependence reproduction returns MizerParams object Beverton-Holt density-dependence way energy invested reproduction mature individuals leads reproduction rate required maintain given egg abundance. Hence tuned params object describe particular steady state, setting Beverton-Holt density dependence function leave exact steady state. specifying one parameters erepro, R_max reproduction_level pick desired reproduction curve. details parameters provided .","code":""},{"path":"https://sizespectrum.org/mizer/reference/setBevertonHolt.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Set Beverton-Holt reproduction without changing the steady state — setBevertonHolt","text":"","code":"setBevertonHolt(params, erepro, R_max, reproduction_level, ...)"},{"path":"https://sizespectrum.org/mizer/reference/setBevertonHolt.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Set Beverton-Holt reproduction without changing the steady state — setBevertonHolt","text":"params MizerParams object erepro Reproductive efficiency species. See details. R_max Maximum reproduction rate. See details. reproduction_level Sets R_max reproduction rate initial state R_max * reproduction_level. ... Unused R_factor: Legacy alternative specifying reproduction_level = 1 / R_factor.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setBevertonHolt.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Set Beverton-Holt reproduction without changing the steady state — setBevertonHolt","text":"MizerParams object","code":""},{"path":"https://sizespectrum.org/mizer/reference/setBevertonHolt.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Set Beverton-Holt reproduction without changing the steady state — setBevertonHolt","text":"Beverton-Holt density dependence relation energy invested reproduction number eggs hatched determined two parameters: reproductive efficiency erepro maximum reproduction rate R_max. maximum imposed reproduction rate (\\(R_{max} = \\infty\\)) resulting density-independent reproduction rate \\(R_{di}\\) proportional total rate \\(E_R\\) energy invested reproduction, $$R_{di} = \\frac{\\rm{erepro}}{2 w_{min}} E_R,$$ proportionality factor given reproductive efficiency erepro divided egg size w_min convert energy egg number divided 2 account two sexes. Imposing finite maximum reproduction rate \\(R_{max}\\) leads non-linear relationship energy invested eggs hatched. density-dependent reproduction rate \\(R_{dd}\\) given $$R_{dd} = R_{di} \\frac{R_{max}}{R_{di} + R_{max}}.$$ (quantities equations species-specific dropped species index simplicity.) following plot illustrates Beverton-Holt density dependence reproduction rate two different choices parameters. plot shows given energy \\(E_R\\) invested reproduction can lead reproduction rate \\(R_{dd}\\) different choices parameters R_max erepro. R_max determines asymptote curve erepro initial slope. higher R_max coupled lower erepro (black curves) can give value lower R_max coupled higher erepro (blue curves). given initial state MizerParams object params one can calculate energy \\(E_R\\) invested reproduction mature individuals reproduction rate \\(R_{dd}\\) required keep egg abundance constant. two values determine location black dot graph. need one parameter select one curve family Beverton-Holt curves going point. parameter can erepro R_max. Instead R_max can alternatively specify reproduction_level ratio density-dependent reproduction rate \\(R_{dd}\\) maximal reproduction rate  \\(R_{max}\\). provide value reproduction parameter arguments, erepro set value current species parameter data frame. provide one reproduction parameters, can either vector one value species, named vector names determine species affected, single unnamed value used species. species given value NA remain unaffected. values R_max must larger \\(R_{dd}\\) can range Inf. smaller value requested warning issued value increased value required reproduction level 0.99. values reproduction_level must non-negative less 1. values erepro must large enough allow required reproduction rate. smaller value requested warning issued value increased smallest possible value. values erepro also smaller 1 physiologically sensible, enforced function. can seen graph , choosing lower value R_max higher value erepro means near steady state reproduction less sensitive change energy invested reproduction hence less sensitive changes spawning stock biomass energy income. result species also less sensitive fishing, leading higher F_MSY.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setBevertonHolt.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Set Beverton-Holt reproduction without changing the steady state — setBevertonHolt","text":"","code":"params <- NS_params species_params(params)$erepro #>  [1] 1 1 1 1 1 1 1 1 1 1 1 1 # Attempting to set the same erepro for all species params <- setBevertonHolt(params, erepro = 0.1) #> Warning: For the following species `erepro` has been increased to the smallest possible value: erepro[Gurnard] = 0.558; erepro[Plaice] = 0.921 t(species_params(params)[, c(\"erepro\", \"R_max\")]) #>               Sprat      Sandeel       N.pout      Herring          Dab #> erepro 1.000000e-01 1.000000e-01 1.000000e-01 1.000000e-01 1.000000e-01 #> R_max  8.071481e+11 4.112049e+11 3.472063e+13 1.197577e+12 1.167176e+10 #>            Whiting         Sole   Gurnard    Plaice      Haddock          Cod #> erepro 1.00000e-01 1.000000e-01 0.5582259 0.9212325 1.000000e-01          0.1 #> R_max  6.22081e+11 4.007876e+10       Inf       Inf 3.929056e+12 8280106764.0 #>              Saithe #> erepro 1.000000e-01 #> R_max  1.145835e+11 # Setting erepro for some species params <- setBevertonHolt(params, erepro = c(\"Gurnard\" = 0.6, \"Plaice\" = 0.95)) t(species_params(params)[, c(\"erepro\", \"R_max\")]) #>               Sprat      Sandeel       N.pout      Herring          Dab #> erepro 1.000000e-01 1.000000e-01 1.000000e-01 1.000000e-01 1.000000e-01 #> R_max  8.071481e+11 4.112049e+11 3.472063e+13 1.197577e+12 1.167176e+10 #>            Whiting         Sole      Gurnard       Plaice      Haddock #> erepro 1.00000e-01 1.000000e-01 6.000000e-01 9.500000e-01 1.000000e-01 #> R_max  6.22081e+11 4.007876e+10 1.047481e+13 1.082568e+15 3.929056e+12 #>                 Cod       Saithe #> erepro          0.1 1.000000e-01 #> R_max  8280106764.0 1.145835e+11 # Setting R_max R_max <- 1e17 * species_params(params)$w_max^-1 params <- setBevertonHolt(NS_params, R_max = R_max) #> Warning: The following species require an unrealistic value greater than 1 for `erepro`: Plaice t(species_params(params)[, c(\"erepro\", \"R_max\")]) #>               Sprat      Sandeel       N.pout      Herring          Dab #> erepro 9.274305e-03 1.297184e-04 7.257409e-02 8.045063e-03 4.224791e-03 #> R_max  3.030303e+15 2.777778e+15 1.000000e+15 2.994012e+14 3.086420e+14 #>             Whiting         Sole      Gurnard       Plaice      Haddock #> erepro 1.292557e-02 3.571380e-03 5.609587e-01 3.773957e+01 6.020565e-02 #> R_max  8.389262e+13 1.154734e+14 1.497006e+14 3.360215e+13 2.316692e+13 #>                 Cod       Saithe #> erepro 6.375069e-05 2.433424e-03 #> R_max  2.509328e+12 2.521521e+12 # Setting reproduction_level params <- setBevertonHolt(params, reproduction_level = 0.3) #> Warning: The following species require an unrealistic value greater than 1 for `erepro`: Plaice t(species_params(params)[, c(\"erepro\", \"R_max\")]) #>               Sprat      Sandeel       N.pout      Herring          Dab #> erepro 1.324581e-02 1.852847e-04 1.026645e-01 1.145066e-02 6.035197e-03 #> R_max  2.441029e+12 1.368905e+12 3.256200e+13 3.671952e+12 3.726224e+10 #>             Whiting         Sole      Gurnard       Plaice      Haddock #> erepro 1.834577e-02 5.100263e-03 7.974655e-01 1.316046e+00 7.954325e-02 #> R_max  1.807310e+12 1.288262e+11 2.430980e+12 1.092730e+14 5.804489e+12 #>                 Cod       Saithe #> erepro 9.077210e-05 3.322021e-03 #> R_max  2.758282e+10 3.730633e+11"},{"path":"https://sizespectrum.org/mizer/reference/setColours.html","id":null,"dir":"Reference","previous_headings":"","what":"Set line colours and line types to be used in mizer plots — setColours","title":"Set line colours and line types to be used in mizer plots — setColours","text":"Used setting colour type lines representing \"Total\", \"Resource\", \"Fishing\", \"Background\", \"External\" possibly categories plots.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setColours.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Set line colours and line types to be used in mizer plots — setColours","text":"","code":"setColours(params, colours)  getColours(params)  setLinetypes(params, linetypes)  getLinetypes(params)"},{"path":"https://sizespectrum.org/mizer/reference/setColours.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Set line colours and line types to be used in mizer plots — setColours","text":"params MizerParams object colours named list named vector line colours. linetypes named list named vector linetypes.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setColours.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Set line colours and line types to be used in mizer plots — setColours","text":"setColours: MizerParams object updated line colours getColours(): named vector colours setLinetypes(): MizerParams object updated linetypes getLinetypes(): named vector linetypes","code":""},{"path":"https://sizespectrum.org/mizer/reference/setColours.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Set line colours and line types to be used in mizer plots — setColours","text":"Colours names already colour set overwritten colour specify. Colours names yet colour appended list colours. use setting colours linetypes species, determined setting linecolour linetype variables species parameter data frame. can use colours ggplot2 plots adding scale_colour_manual(values = getColours(params)) plot. Similarly can use linetypes scale_linetype_manual(values = getLinetypes(params)).","code":""},{"path":"https://sizespectrum.org/mizer/reference/setColours.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Set line colours and line types to be used in mizer plots — setColours","text":"","code":"params <- setColours(NS_params, list(\"Resource\" = \"red\",\"Total\" = \"#0000ff\")) params <- setLinetypes(NS_params, list(\"Total\" = \"dotted\")) # Set colours and linetypes for species species_params(params)[\"Cod\", \"linecolour\"] <- \"black\" species_params(params)[\"Cod\", \"linetype\"] <- \"dashed\" plotSpectra(params, total = TRUE)  getColours(params) #>      Sprat    Sandeel     N.pout    Herring        Dab    Whiting       Sole  #>  \"#815f00\"  \"#6237e2\"  \"#8da600\"  \"#de53ff\"  \"#0e4300\"  \"#430079\"  \"#6caa72\"  #>    Gurnard     Plaice    Haddock        Cod     Saithe      Total   Resource  #>  \"#ee0053\"  \"#007957\"  \"#b42979\"    \"black\"  \"#a08dfb\"    \"black\"    \"green\"  #> Background    Fishing   External  #>     \"grey\"      \"red\"     \"grey\"  getLinetypes(params) #>      Sprat    Sandeel     N.pout    Herring        Dab    Whiting       Sole  #>    \"solid\"    \"solid\"    \"solid\"    \"solid\"    \"solid\"    \"solid\"    \"solid\"  #>    Gurnard     Plaice    Haddock        Cod     Saithe      Total   Resource  #>    \"solid\"    \"solid\"    \"solid\"   \"dashed\"    \"solid\"   \"dotted\"    \"solid\"  #> Background   External  #>    \"solid\"    \"solid\""},{"path":"https://sizespectrum.org/mizer/reference/setComponent.html","id":null,"dir":"Reference","previous_headings":"","what":"Add a dynamical ecosystem component — setComponent","title":"Add a dynamical ecosystem component — setComponent","text":"default, mizer models number size-resolved consumer species single size-resolved resource spectrum. model may require additional components, like example detritus carrion multiple resources .... function allows set components.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setComponent.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Add a dynamical ecosystem component — setComponent","text":"","code":"setComponent(   params,   component,   initial_value,   dynamics_fun,   encounter_fun,   mort_fun,   component_params,   colour = \"grey\",   linetype = \"solid\" )  removeComponent(params, component)  getComponent(params, component)"},{"path":"https://sizespectrum.org/mizer/reference/setComponent.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Add a dynamical ecosystem component — setComponent","text":"params MizerParams object component Name component interest. missing, list components returned. initial_value Initial value component dynamics_fun Name function calculate value next time step encounter_fun Name function calculate contribution encounter rate. Optional. mort_fun Name function calculate contribution mortality rate. Optional. component_params Object holding parameters needed component functions. example named list parameters. Optional. colour Line colour use component plots. Defaults \"grey\". linetype Line type use component plots. Defaults \"solid\".","code":""},{"path":"https://sizespectrum.org/mizer/reference/setComponent.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Add a dynamical ecosystem component — setComponent","text":"updated MizerParams object getComponent: list entries initial_value, dynamics_fun, encounter_fun, mort_fun, component_params requested component. requested component exist, NULL returned. component argument given, list lists components returned.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setComponent.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Add a dynamical ecosystem component — setComponent","text":"component can number, vector, array, list, data structure like. set component new name, new component added existing components. set component existing name, initial_value dynamics_fun overwritten, optional encounter_fun, mort_fun component_params changed corresponding arguments supplied. can remove component removeComponent().","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/setExtDiffusion.html","id":null,"dir":"Reference","previous_headings":"","what":"Set external diffusion rate — setExtDiffusion","title":"Set external diffusion rate — setExtDiffusion","text":"Set external diffusion rate","code":""},{"path":"https://sizespectrum.org/mizer/reference/setExtDiffusion.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Set external diffusion rate — setExtDiffusion","text":"","code":"setExtDiffusion(params, ext_diffusion = NULL, reset = FALSE, ...)  # S3 method for class 'MizerParams' setExtDiffusion(params, ext_diffusion = NULL, reset = FALSE, ...)  ext_diffusion(params)  ext_diffusion(params) <- value"},{"path":"https://sizespectrum.org/mizer/reference/setExtDiffusion.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Set external diffusion rate — setExtDiffusion","text":"params MizerParams ext_diffusion Optional. array (species x size) holding external diffusion rate. supplied, default calculated D_ext n species parameters described section \"Setting external diffusion rate\". reset set TRUE, external diffusion rate reset value calculated species parameters, even previously overwritten custom value. set FALSE (default) recalculation species parameters take place custom value set. ... Unused value ext_diffusion","code":""},{"path":"https://sizespectrum.org/mizer/reference/setExtDiffusion.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Set external diffusion rate — setExtDiffusion","text":"setExtDiffusion(): MizerParams object updated external diffusion rate. ext_diffusion(): ArraySpeciesBySize object (species x size) external diffusion rate.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setExtDiffusion.html","id":"setting-external-diffusion-rate","dir":"Reference","previous_headings":"","what":"Setting external diffusion rate","title":"Set external diffusion rate — setExtDiffusion","text":"external diffusion rate allows impose additional diffusion abundance density body size beyond predation-driven diffusion computed mizerDiffusion(). ext_diffusion argument allows specify diffusion rate depends species body size. ext_diffusion argument supplied, external diffusion rate calculated power law: $$D_{ext.}(w) = D_{ext.}\\, w^{n_i+1}.$$ coefficient \\(D_{ext.}\\) taken D_ext column species parameter data frame, defaults 0. exponent \\(n_i + 1\\) uses n column species parameter data frame. ext_diffusion slot comment reset = FALSE, recalculation species parameters suppressed message issued recalculated values differ stored ones.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/setExtEncounter.html","id":null,"dir":"Reference","previous_headings":"","what":"Set external encounter rate — setExtEncounter","title":"Set external encounter rate — setExtEncounter","text":"Set external encounter rate","code":""},{"path":"https://sizespectrum.org/mizer/reference/setExtEncounter.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Set external encounter rate — setExtEncounter","text":"","code":"setExtEncounter(params, ext_encounter = NULL, reset = FALSE, ...)  getExtEncounter(params)  ext_encounter(params)  ext_encounter(params) <- value"},{"path":"https://sizespectrum.org/mizer/reference/setExtEncounter.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Set external encounter rate — setExtEncounter","text":"params MizerParams ext_encounter Optional. array (species x size) holding external encounter rate.  supplied, default calculated E_ext n species parameters described section \"Setting external encounter rate\". reset set TRUE, external encounter rate reset value calculated species parameters, even previously overwritten custom value. set FALSE (default) recalculation species parameters take place custom value set. ... Unused value ext_encounter","code":""},{"path":"https://sizespectrum.org/mizer/reference/setExtEncounter.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Set external encounter rate — setExtEncounter","text":"setExtEncounter(): MizerParams object updated external encounter rate. getExtEncounter() equivalently ext_encounter(): ArraySpeciesBySize object (species x size) external encounter rate.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setExtEncounter.html","id":"setting-external-encounter-rate","dir":"Reference","previous_headings":"","what":"Setting external encounter rate","title":"Set external encounter rate — setExtEncounter","text":"external encounter rate rate predator encounters food explicitly modelled. rate units mass/year. ext_encounter argument allows specify external encounter rate depends species body size. can see example Examples section help page setExtEncounter(). ext_encounter argument supplied, external encounter rate calculated power law: $$E_{ext.}(w) = E_{ext.}\\, w^{n_i}.$$ coefficient \\(E_{ext.}\\) taken E_ext column species parameter data frame, defaults 0. exponent \\(n_i\\) taken n column species parameter data frame. ext_encounter slot comment reset = FALSE, recalculation species parameters suppressed message issued recalculated values differ stored ones.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/setExtEncounter.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Set external encounter rate — setExtEncounter","text":"","code":"params <- newMultispeciesParams(NS_species_params) #> Because you have n != p, the default value for `h` is not very good. #> Because the age at maturity is not known, I need to fall back to using #> von Bertalanffy parameters, where available, and this is not reliable. #> No ks column so calculating from critical feeding level. #> Using z0 = z0pre * w_max ^ z0exp for missing z0 values. #> Using f0, h, lambda, kappa and the predation kernel to calculate gamma.  #### Setting allometric encounter rate #######################  # Set coefficient for each species. Here we choose 0.1 for each species encounter_pre <- rep(0.1, nrow(species_params(params)))  # Multiply by power of size with exponent, here chosen to be 3/4 # The outer() function makes it an array species x size allo_encounter <- outer(encounter_pre, w(params)^(3/4))  # Change the external encounter rate in the params object ext_encounter(params) <- allo_encounter"},{"path":"https://sizespectrum.org/mizer/reference/setExtMort.html","id":null,"dir":"Reference","previous_headings":"","what":"Set external mortality rate — setExtMort","title":"Set external mortality rate — setExtMort","text":"Set external mortality rate","code":""},{"path":"https://sizespectrum.org/mizer/reference/setExtMort.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Set external mortality rate — setExtMort","text":"","code":"setExtMort(   params,   ext_mort = NULL,   z0pre = 0.6,   z0exp = params@resource_params$n - 1,   reset = FALSE,   z0 = deprecated(),   ... )  getExtMort(params)  ext_mort(params)  ext_mort(params) <- value"},{"path":"https://sizespectrum.org/mizer/reference/setExtMort.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Set external mortality rate — setExtMort","text":"params MizerParams ext_mort Optional. array (species x size) holding external mortality rate.  supplied, default set described section \"Setting external mortality rate\". z0pre z0, mortality sources, column species data frame, calculated z0pre * w_max ^ z0exp. Default value 0.6. z0exp z0, mortality sources, column species data frame, calculated z0pre * w_max ^ z0exp. Default value n-1. reset set TRUE, external mortality rate reset value calculated species parameters, even previously overwritten custom value. set FALSE (default) recalculation species parameters take place custom value set. z0 Use ext_mort instead. confused species_parameter z0. ... Unused value ext_mort","code":""},{"path":"https://sizespectrum.org/mizer/reference/setExtMort.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Set external mortality rate — setExtMort","text":"setExtMort(): MizerParams object updated external mortality rate. getExtMort() equivalently ext_mort(): ArraySpeciesBySize object (species x size) external mortality.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setExtMort.html","id":"setting-external-mortality-rate","dir":"Reference","previous_headings":"","what":"Setting external mortality rate","title":"Set external mortality rate — setExtMort","text":"external mortality mortality due fishing predation predators included model. external mortality due predation predators explicitly included model (e.g. mammals seabirds) due causes like illness. rate units 1/year. ext_mort argument allows specify external mortality rate depends species body size. can see example Examples section help page setExtMort(). ext_mort argument supplied, external mortality taken species parameters $$\\mu_{ext.}(w) = z_{0.} + z_{ext.} w^{d_i}.$$ value constant \\(z_0\\) species taken z0 column species parameter data frame, column exists. Otherwise calculated $$z_{0.} = {\\tt z0pre}_i\\, w_{inf}^{\\tt z0exp}.$$ Missing values z_ext set 0 missing values d set n - 1.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/setExtMort.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Set external mortality rate — setExtMort","text":"","code":"params <- newMultispeciesParams(NS_species_params) #> Because you have n != p, the default value for `h` is not very good. #> Because the age at maturity is not known, I need to fall back to using #> von Bertalanffy parameters, where available, and this is not reliable. #> No ks column so calculating from critical feeding level. #> Using z0 = z0pre * w_max ^ z0exp for missing z0 values. #> Using f0, h, lambda, kappa and the predation kernel to calculate gamma.  #### Setting allometric death rate #######################  # Set coefficient for each species. Here we choose 0.1 for each species z0pre <- rep(0.1, nrow(species_params(params)))  # Multiply by power of size with exponent, here chosen to be -1/4 # The outer() function makes it an array species x size allo_mort <- outer(z0pre, w(params)^(-1/4))  # Change the external mortality rate in the params object ext_mort(params) <- allo_mort"},{"path":"https://sizespectrum.org/mizer/reference/setFishing.html","id":null,"dir":"Reference","previous_headings":"","what":"Set fishing parameters — setFishing","title":"Set fishing parameters — setFishing","text":"Set fishing parameters","code":""},{"path":"https://sizespectrum.org/mizer/reference/setFishing.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Set fishing parameters — setFishing","text":"","code":"setFishing(   params,   selectivity = NULL,   catchability = NULL,   reset = FALSE,   initial_effort = NULL,   ... )  getCatchability(params)  catchability(params)  catchability(params) <- value  getSelectivity(params)  selectivity(params)  selectivity(params) <- value  getInitialEffort(params)"},{"path":"https://sizespectrum.org/mizer/reference/setFishing.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Set fishing parameters — setFishing","text":"params MizerParams object selectivity Optional. array (gear x species x size) holds selectivity gear species size, \\(S_{g,,w}\\). catchability Optional. array (gear x species) holds catchability species gear, \\(Q_{g,}\\). reset set TRUE, catchability selectivity reset values calculated gear parameters, even previously overwritten custom value. set FALSE (default) recalculation gear parameters take place custom value set. initial_effort Optional. number named numeric vector specifying fishing effort. number, effort used gears. vector, must named gear. ... Unused value .","code":""},{"path":"https://sizespectrum.org/mizer/reference/setFishing.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Set fishing parameters — setFishing","text":"setFishing(): MizerParams object updated fishing parameters. getCatchability() equivalently catchability(): array (gear x species) holds catchability species gear, \\(Q_{g,}\\). names dimensions \"gear, \"sp\". getSelectivity() equivalently selectivity(): array (gear x species x size) holds selectivity gear species size, \\(S_{g,,w}\\). names dimensions \"gear, \"sp\", \"w\". getInitialEffort() equivalently initial_effort(): named vector initial fishing effort gear.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setFishing.html","id":"setting-fishing","dir":"Reference","previous_headings":"","what":"Setting fishing","title":"Set fishing parameters — setFishing","text":"Gears mizer, fishing mortality imposed species fishing gears. total per-capita fishing mortality (1/year) obtained summing mortality gears, $$\\mu_{f.}(w) = \\sum_g F_{g,}(w),$$ fishing mortality \\(F_{g,}(w)\\) imposed gear \\(g\\) species \\(\\) size \\(w\\) calculated : $$F_{g,}(w) = S_{g,}(w) Q_{g,} E_{g},$$ \\(S\\) selectivity species, gear size, \\(Q\\) catchability species gear \\(E\\) fishing effort gear. Selectivity selectivity size gear species saved three dimensional array (gear x species x size). entry range 0 (gear selecting species size) 1 (gear selecting individuals species size). three dimensional array can specified explicitly via selectivity argument, usually mizer calculates gear_params slot MizerParams object. allow calculation selectivity array, gear_params slot must data frame one row gear-species combination. example gear can select three species, gear contributes three rows gear_params data frame, one species can select. data frame must columns gear, holding name gear, species, holding name species, sel_func, holding name function calculates selectivity curve. selectivity functions included package: knife_edge(), sigmoid_length(), double_sigmoid_length(), sigmoid_weight(). Users able write size-based selectivity function. first argument function must w function must return vector selectivity (0 1) size. selectivity function may parameters. Values parameters must included columns gear parameters data.frame. names columns must exactly match names corresponding arguments selectivity function. example, default selectivity function knife_edge() sudden change selectivity 0 1 certain size. help page can see knife_edge() function arguments w knife_edge_size. first argument, w, size (function calculates selectivity size). selectivity functions must w first argument. values arguments must found gear parameters data.frame. knife_edge() function knife_edge_size column. knife_edge() default selectivity function, knife_edge_size argument default value = w_mat. commonly-used selectivity function sigmoid_length(). smooth transition 0 1 certain size. sigmoid_length() function two parameters l50 l25 lengths cm 50% 25% fish selected gear. choose selectivity function l50 l25 columns must included gear parameters data.frame. case species selected one gear, columns gear_params data frame can alternatively provided columns species_params data frame, convenient user set . Mizer copy columns create gear_params data frame creates MizerParams object. However changing columns species parameter data frame later update gear_params data frame. Catchability Catchability used additional factor make link gear selectivity, fishing effort fishing mortality. example, can set effort 1 gives desired fishing mortality. way effort can specified relative 'base effort', e.g. effort particular year. Catchability stored two dimensional array (gear x species). can either provided explicitly via catchability argument, information can provided via catchability column gear_params data frame. case species selected single gear, catchability column can also provided species_params data frame. Mizer copy gear_params data frame MizerParams object created. Effort initial fishing effort stored MizerParams object. supplied, set zero. initial effort can overruled simulation run project(), also possible specify effort varies time.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/setFishing.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Set fishing parameters — setFishing","text":"","code":"str(getCatchability(NS_params)) #>  num [1:4, 1:12] 1 0 0 0 1 0 0 0 1 0 ... #>  - attr(*, \"dimnames\")=List of 2 #>   ..$ gear: chr [1:4] \"Industrial\" \"Pelagic\" \"Beam\" \"Otter\" #>   ..$ sp  : chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... str(getSelectivity(NS_params)) #>  num [1:4, 1:12, 1:100] 0 0 0 0 0 0 0 0 0 0 ... #>  - attr(*, \"dimnames\")=List of 3 #>   ..$ gear: chr [1:4] \"Industrial\" \"Pelagic\" \"Beam\" \"Otter\" #>   ..$ sp  : chr [1:12] \"Sprat\" \"Sandeel\" \"N.pout\" \"Herring\" ... #>   ..$ w   : chr [1:100] \"0.001\" \"0.00119\" \"0.00142\" \"0.0017\" ... str(getInitialEffort(NS_params)) #>  Named num [1:4] 0 1 0.5 0.5 #>  - attr(*, \"names\")= chr [1:4] \"Industrial\" \"Pelagic\" \"Beam\" \"Otter\""},{"path":"https://sizespectrum.org/mizer/reference/setInitialValues.html","id":null,"dir":"Reference","previous_headings":"","what":"Set initial values to values from a simulation — setInitialValues","title":"Set initial values to values from a simulation — setInitialValues","text":"used use results one simulation starting values another simulation.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setInitialValues.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Set initial values to values from a simulation — setInitialValues","text":"","code":"setInitialValues(params, sim, time_range, geometric_mean = FALSE, ...)"},{"path":"https://sizespectrum.org/mizer/reference/setInitialValues.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Set initial values to values from a simulation — setInitialValues","text":"params MizerParams object set initial values sim MizerSim object take values. time_range time range average abundances . Can vector values, vector min max time, single value. range times relevant, .e., times smallest largest selected.  Default final time step. geometric_mean TRUE average abundances time range geometric mean instead default arithmetic mean. affect average effort components, always arithmetic. ... Additional arguments passed method.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setInitialValues.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Set initial values to values from a simulation — setInitialValues","text":"params object updated initial values initial effort. way R language works, setInitialValues() make changes params object pass instead returns new params object. affect change call function form params <- setInitialValues(params, sim).","code":""},{"path":"https://sizespectrum.org/mizer/reference/setInitialValues.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Set initial values to values from a simulation — setInitialValues","text":"initial abundances (species resource) params object set abundances MizerSim object, averaged range times. Similarly, initial effort params object set effort MizerSim object, averaged range times. time range specified, initial values taken final time step simulation. model described sim params additional components created setComponent() values components also averaged copied params. MizerSim object must come model set species gears components size bins MizerParams object. Otherwise error raised.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/setInitialValues.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Set initial values to values from a simulation — setInitialValues","text":"","code":"# \\donttest{ params <- NS_params sim <- project(params, t_max = 20, effort = 0.5) params <- setInitialValues(params, sim) # }"},{"path":"https://sizespectrum.org/mizer/reference/setInteraction.html","id":null,"dir":"Reference","previous_headings":"","what":"Set species interaction matrix — setInteraction","title":"Set species interaction matrix — setInteraction","text":"Set species interaction matrix","code":""},{"path":"https://sizespectrum.org/mizer/reference/setInteraction.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Set species interaction matrix — setInteraction","text":"","code":"setInteraction(params, interaction = NULL, ...)  interaction_matrix(params)  interaction_matrix(params) <- value"},{"path":"https://sizespectrum.org/mizer/reference/setInteraction.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Set species interaction matrix — setInteraction","text":"params MizerParams object interaction Optional interaction matrix species (predator species x prey species). default entries 1. See \"Setting interaction matrix\" section . ... Unused value interaction matrix","code":""},{"path":"https://sizespectrum.org/mizer/reference/setInteraction.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Set species interaction matrix — setInteraction","text":"setInteraction: MizerParams object updated interaction matrix interaction_matrix(): interaction matrix (predator species x prey species)","code":""},{"path":"https://sizespectrum.org/mizer/reference/setInteraction.html","id":"setting-interaction-matrix","dir":"Reference","previous_headings":"","what":"Setting interaction matrix","title":"Set species interaction matrix — setInteraction","text":"need specify interaction matrix. , predator-prey interactions purely determined size predator prey totally independent species predator prey. interaction matrix \\(\\theta_{ij}\\) modifies interaction pair species model. can used example allow different spatial overlap among species. values interaction matrix used scale encountered food predation mortality (see website section predator-prey encounter rate predation mortality). first index refers predator species second prey species. interaction matrix used calculating food encounter rate getEncounter() predation mortality rate getPredMort(). entries dimensionless numbers. values interaction matrix equal predator-prey interactions determined entirely size-preference. function checks supplied interaction matrix valid stores interaction slot params object. order columns rows interaction argument order species params data frame params object. supply named array function check order message different ignoring supplied dimnames. supply column names also used row names. One way creating interaction matrix enter data using spreadsheet program saving .csv file. data can read R using command read.csv(). interaction species resource set via column interaction_resource species_params data frame. default column set 1s.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/setInteraction.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Set species interaction matrix — setInteraction","text":"","code":"params <- newTraitParams(no_sp = 3) inter <- getInteraction(params) #> Warning: `getInteraction()` was deprecated in mizer 2.4.0. #> ℹ Please use `interaction_matrix()` instead. inter[1, 2:3] <- 0 params <- setInteraction(params, interaction = inter) getInteraction(params) #>         prey #> predator 1 2 3 #>        1 1 0 0 #>        2 1 1 1 #>        3 1 1 1"},{"path":"https://sizespectrum.org/mizer/reference/setMaxIntakeRate.html","id":null,"dir":"Reference","previous_headings":"","what":"Set maximum intake rate — setMaxIntakeRate","title":"Set maximum intake rate — setMaxIntakeRate","text":"Set maximum intake rate","code":""},{"path":"https://sizespectrum.org/mizer/reference/setMaxIntakeRate.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Set maximum intake rate — setMaxIntakeRate","text":"","code":"setMaxIntakeRate(params, intake_max = NULL, reset = FALSE, ...)  getMaxIntakeRate(params)  intake_max(params)  intake_max(params) <- value"},{"path":"https://sizespectrum.org/mizer/reference/setMaxIntakeRate.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Set maximum intake rate — setMaxIntakeRate","text":"params MizerParams intake_max Optional. array (species x size) holding maximum intake rate species size. supplied, default set described section \"Setting maximum intake rate\". reset set TRUE, intake rate reset value calculated species parameters, even previously overwritten custom value. set FALSE (default) recalculation species parameters take place custom value set. ... Unused value intake_max","code":""},{"path":"https://sizespectrum.org/mizer/reference/setMaxIntakeRate.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Set maximum intake rate — setMaxIntakeRate","text":"setMaxIntakeRate(): MizerParams object updated maximum intake rate. getMaxIntakeRate() equivalently intake_max(): ArraySpeciesBySize object (species x size) maximum intake rate.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setMaxIntakeRate.html","id":"setting-maximum-intake-rate","dir":"Reference","previous_headings":"","what":"Setting maximum intake rate","title":"Set maximum intake rate — setMaxIntakeRate","text":"maximum intake rate \\(h_i(w)\\) individual species \\(\\) weight \\(w\\) determines feeding level, calculated getFeedingLevel(). measured grams/year. intake_max argument supplied, maximum intake rate set $$h_i(w) = h_i w^{n_i}.$$ values \\(h_i\\) (maximum intake rate individual size 1 gram) \\(n_i\\) (allometric exponent intake rate) taken h n columns species parameter dataframe. h column supplied species parameter dataframe, calculated get_h_default() function. n column supplied, default \\(n_i = 3/4\\) used. \\(h_i\\) set Inf, fish species consume encountered food. intake_max slot comment reset = FALSE, recalculation species parameters suppressed message issued recalculated values differ stored ones.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/setMetabolicRate.html","id":null,"dir":"Reference","previous_headings":"","what":"Set metabolic rate — setMetabolicRate","title":"Set metabolic rate — setMetabolicRate","text":"Sets rate energy used metabolism activity","code":""},{"path":"https://sizespectrum.org/mizer/reference/setMetabolicRate.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Set metabolic rate — setMetabolicRate","text":"","code":"setMetabolicRate(object, metab = NULL, p = NULL, reset = FALSE, ...)  getMetabolicRate(params)  metab(params)  metab(params) <- value"},{"path":"https://sizespectrum.org/mizer/reference/setMetabolicRate.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Set metabolic rate — setMetabolicRate","text":"object MizerParams object metab Optional. array (species x size) holding metabolic rate species size. supplied, default set described section \"Setting metabolic rate\". p allometric metabolic exponent. used metab given explicitly exponent specified p column species_params. reset set TRUE, metabolic rate reset value calculated species parameters, even previously overwritten custom value. set FALSE (default) recalculation species parameters take place custom value set. ... Unused params MizerParams object value metab","code":""},{"path":"https://sizespectrum.org/mizer/reference/setMetabolicRate.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Set metabolic rate — setMetabolicRate","text":"setMetabolicRate(): MizerParams object updated metabolic rate. getMetabolicRate() equivalently metab(): ArraySpeciesBySize object (species x size) metabolic rate.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setMetabolicRate.html","id":"setting-metabolic-rate","dir":"Reference","previous_headings":"","what":"Setting metabolic rate","title":"Set metabolic rate — setMetabolicRate","text":"metabolic rate subtracted energy income rate calculate rate energy available growth reproduction, see getEReproAndGrowth(). measured grams/year. metab argument supplied, species metabolic rate \\(k(w)\\) individual size \\(w\\) set $$k(w) = k_s w^p + k w,$$ \\(k_s w^p\\) represents rate standard metabolism \\(k w\\) rate energy expended activity movement. values \\(k_s\\), \\(p\\) \\(k\\) taken ks, p k columns species parameter dataframe. parameters supplied, defaults \\(k = 0\\), \\(p = 3/4\\) $$k_s = f_c h \\alpha w_{mat}^{n-p},$$ \\(f_c\\) critical feeding level taken fc column species parameter data frame. critical feeding level specified, default \\(f_c = 0.2\\) used. metab slot comment reset = FALSE, recalculation species parameters suppressed message issued recalculated values differ stored ones.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/setMetadata.html","id":null,"dir":"Reference","previous_headings":"","what":"Set metadata for a model — setMetadata","title":"Set metadata for a model — setMetadata","text":"Setting metadata particularly important sharing model others. metadata fields optional can also add fields choosing. set value field already existed, old value overwritten.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setMetadata.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Set metadata for a model — setMetadata","text":"","code":"setMetadata(   params,   title = NULL,   description = NULL,   authors = NULL,   url = NULL,   doi = NULL,   ... )  getMetadata(params)"},{"path":"https://sizespectrum.org/mizer/reference/setMetadata.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Set metadata for a model — setMetadata","text":"params MizerParams object model title string title model description string description model. example contain information publications using model. authors author entry list author entries, author entry either just name list fields like name, orcid, possibly email. url URL information model can found. blog post mizer blog, example. doi digital object identifier model. create doi can use online services like https://zenodo.org/ https://figshare.com. ... Additional metadata fields like add","code":""},{"path":"https://sizespectrum.org/mizer/reference/setMetadata.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Set metadata for a model — setMetadata","text":"setMetadata(): MizerParams object updated metadata getMetadata(): list metadata entries set, including least mizer_version, extensions, time_created time_modified.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setMetadata.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Set metadata for a model — setMetadata","text":"addition metadata fields can set hand, four fields set automatically mizer: mizer_version version string mizer version model created last upgraded. Can compared current version obtained packageVersion(\"mizer\"). purpose field model working expected current version mizer, can go back older version presumably working. extensions named vector strings name name extension package needed run model value string giving information remotes package needs install correct version extension package, see https://remotes.r-lib.org/. field set extension packages. time_created POSIXct date-time object creation time. time_modified POSIXct date-time object last modified time. Setting metadata function count modification object, time_modified field updated.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setParams.html","id":null,"dir":"Reference","previous_headings":"","what":"Set or change any model parameters — setParams","title":"Set or change any model parameters — setParams","text":"convenient wrapper function calling following functions setPredKernel() setSearchVolume() setInteraction() setMaxIntakeRate() setMetabolicRate() setExtMort() setExtEncounter() setReproduction() setFishing() See Details section discussion use function.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setParams.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Set or change any model parameters — setParams","text":"","code":"setParams(object, interaction = NULL, info_level = 3, ...)"},{"path":"https://sizespectrum.org/mizer/reference/setParams.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Set or change any model parameters — setParams","text":"object MizerParams object interaction Optional interaction matrix species (predator species x prey species). default entries 1. See \"Setting interaction matrix\" section . info_level Controls amount information messages shown. Higher levels lead messages. ... Arguments passed setPredKernel, setSearchVolume, setMaxIntakeRate, setMetabolicRate, setExtMort, setExtEncounter, setReproduction, setFishing params MizerParams object pred_kernel Optional. array (species x predator size x prey size) holds predation coefficient predator size prey size. supplied, default set described section \"Setting predation kernel\". value pred_kernel search_vol Optional. array (species x size) holding search volume species size. supplied, default set described section \"Setting search volume\". intake_max Optional. array (species x size) holding maximum intake rate species size. supplied, default set described section \"Setting maximum intake rate\". metab Optional. array (species x size) holding metabolic rate species size. supplied, default set described section \"Setting metabolic rate\". p allometric metabolic exponent. used metab given explicitly exponent specified p column species_params. ext_mort Optional. array (species x size) holding external mortality rate.  supplied, default set described section \"Setting external mortality rate\". z0pre z0, mortality sources, column species data frame, calculated z0pre * w_max ^ z0exp. Default value 0.6. z0exp z0, mortality sources, column species data frame, calculated z0pre * w_max ^ z0exp. Default value n-1. z0 Use ext_mort instead. confused species_parameter z0. ext_encounter Optional. array (species x size) holding external encounter rate.  supplied, default calculated E_ext n species parameters described section \"Setting external encounter rate\". maturity Optional. array (species x size) holds proportion individuals species size mature. supplied, default set described section \"Setting reproduction\". repro_prop Optional. array (species x size) holds proportion energy available growth reproduction mature individual allocates reproduction species size. supplied, default set described section \"Setting reproduction\". RDD name function calculating density-dependent reproduction rate density-independent rate. Defaults \"BevertonHoltRDD()\". selectivity Optional. array (gear x species x size) holds selectivity gear species size, \\(S_{g,,w}\\). catchability Optional. array (gear x species) holds catchability species gear, \\(Q_{g,}\\). initial_effort Optional. number named numeric vector specifying fishing effort. number, effort used gears. vector, must named gear.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setParams.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Set or change any model parameters — setParams","text":"MizerParams object","code":""},{"path":"https://sizespectrum.org/mizer/reference/setParams.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Set or change any model parameters — setParams","text":"happy assumptions mizer makes default shape model functions, example want change one allometric scaling assumptions, can providing choice array appropriate argument setParams(). sections discuss model functions can change way. way R language works, setParams make changes params object pass instead returns new params object. affect change call function form params <- setParams(params, ...). Usually, happy way mizer calculates model functions species parameters want change values species parameters, make changes species_params data frame contained params object using species_params<-(). example assumes MizerParams object params just want change gamma parameter third species:   Internally actually call setParams() recalculate parameters affected change species parameter. setParams() use species parameters params object recalculate values model functions except set custom values.","code":"species_params(params)$gamma[[3]] <- 1000"},{"path":"https://sizespectrum.org/mizer/reference/setParams.html","id":"units-in-mizer","dir":"Reference","previous_headings":"","what":"Units in mizer","title":"Set or change any model parameters — setParams","text":"Mizer uses grams measure weight, centimetres measure lengths, years measure time. Mizer agnostic whether abundances given numbers per area, numbers per volume total numbers entire study area. make choice convenient application stick . make choice 1 2 also choose unit area volume. choice determine units parameters. mentioned parameters discussed sections . choice also affect units quantities may want calculate model. example, yield grams/year/m^2 case 1 choose m^2 measure area, grams/year/m^3 case 2 choose m^3 unit volume, simply grams/year case 3. comment applies measures, like total biomass, grams/area case 1, grams/volume case 2 simply grams case 3. mizer puts units axes plots, choose units appropriate case 3. example plotBiomass() gives unit grams. can convert choices. example, use case 1, need multiply area ecosystem get total quantity. work case 2, need multiply area thickness productive layer. respect, case 2 bit cumbersome. function scaleModel() useful change units using.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setParams.html","id":"setting-interaction-matrix","dir":"Reference","previous_headings":"","what":"Setting interaction matrix","title":"Set or change any model parameters — setParams","text":"need specify interaction matrix. , predator-prey interactions purely determined size predator prey totally independent species predator prey. interaction matrix \\(\\theta_{ij}\\) modifies interaction pair species model. can used example allow different spatial overlap among species. values interaction matrix used scale encountered food predation mortality (see website section predator-prey encounter rate predation mortality). first index refers predator species second prey species. interaction matrix used calculating food encounter rate getEncounter() predation mortality rate getPredMort(). entries dimensionless numbers. values interaction matrix equal predator-prey interactions determined entirely size-preference. function checks supplied interaction matrix valid stores interaction slot params object. order columns rows interaction argument order species params data frame params object. supply named array function check order message different ignoring supplied dimnames. supply column names also used row names. One way creating interaction matrix enter data using spreadsheet program saving .csv file. data can read R using command read.csv(). interaction species resource set via column interaction_resource species_params data frame. default column set 1s.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setParams.html","id":"setting-predation-kernel","dir":"Reference","previous_headings":"","what":"Setting predation kernel","title":"Set or change any model parameters — setParams","text":"Kernel dependent predator prey size ratio pred_kernel argument supplied, function sets predation kernel depends ratio predator mass prey mass, two masses independently. shape kernel determined pred_kernel_type column species_params. default pred_kernel_type \"lognormal\". call function lognormal_pred_kernel() calculate predation kernel. alternative pred_kernel type \"box\", implemented function box_pred_kernel(), \"power_law\", implemented function power_law_pred_kernel(). functions require certain species parameters species_params data frame. lognormal kernel beta sigma, box kernel ppmr_min ppmr_max. explained help pages kernel functions. Except beta sigma, defaults set parameters. missing species_params data frame mizer issue error message. can use string pred_kernel_type. example choose \"\" need define function my_pred_kernel can model existing functions like lognormal_pred_kernel(). using kernel depends predator/prey size ratio , mizer need store entire three dimensional array MizerParams object. array can big large number size bins. Instead, mizer needs store two two-dimensional arrays hold Fourier transforms feeding kernel function allow encounter rate predation rate calculated efficiently. However, need full three-dimensional array can calculate getPredKernel() function. Kernel dependent predator prey size want work feeding kernel depends predator mass prey mass independently, can specify full feeding kernel three-dimensional array (predator species x predator size x prey size). use option kernel dependent predator/prey mass ratio appropriate. Using kernel dependent predator/prey mass ratio allows mizer use fast Fourier transform methods significantly reduce running time simulations. order predator species pred_kernel order species params dataframe params object. supply named array function check order warn different.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setParams.html","id":"setting-search-volume","dir":"Reference","previous_headings":"","what":"Setting search volume","title":"Set or change any model parameters — setParams","text":"search volume \\(\\gamma_i(w)\\) individual species \\(\\) weight \\(w\\) multiplies predation kernel calculating encounter rate getEncounter() predation rate getPredRate(). name \"search volume\" bit misleading, \\(\\gamma_i(w)\\) units volume. simply parameter determines rate predation. units depend choice, see section \"Units mizer\". chosen work total abundances, rate units 1/year. chosen work abundances per m^2 units m^2/year. chosen work abundances per m^3 units m^3/year. search_vol argument supplied, search volume set $$\\gamma_i(w) = \\gamma_i w^q_i.$$ values \\(\\gamma_i\\) (search volume 1g) \\(q_i\\) (allometric exponent search volume) taken gamma q columns species parameter dataframe. gamma column supplied species parameter dataframe, default calculated get_gamma_default() function. q column supplied, default lambda - 2 + n used. Note predators size \\(w = 1\\) gram value species parameter \\(\\gamma_i\\) value search volume \\(\\gamma_i(w)\\). search_vol slot comment reset = FALSE, recalculation species parameters suppressed message issued recalculated values differ stored ones.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setParams.html","id":"setting-maximum-intake-rate","dir":"Reference","previous_headings":"","what":"Setting maximum intake rate","title":"Set or change any model parameters — setParams","text":"maximum intake rate \\(h_i(w)\\) individual species \\(\\) weight \\(w\\) determines feeding level, calculated getFeedingLevel(). measured grams/year. intake_max argument supplied, maximum intake rate set $$h_i(w) = h_i w^{n_i}.$$ values \\(h_i\\) (maximum intake rate individual size 1 gram) \\(n_i\\) (allometric exponent intake rate) taken h n columns species parameter dataframe. h column supplied species parameter dataframe, calculated get_h_default() function. n column supplied, default \\(n_i = 3/4\\) used. \\(h_i\\) set Inf, fish species consume encountered food. intake_max slot comment reset = FALSE, recalculation species parameters suppressed message issued recalculated values differ stored ones.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setParams.html","id":"setting-metabolic-rate","dir":"Reference","previous_headings":"","what":"Setting metabolic rate","title":"Set or change any model parameters — setParams","text":"metabolic rate subtracted energy income rate calculate rate energy available growth reproduction, see getEReproAndGrowth(). measured grams/year. metab argument supplied, species metabolic rate \\(k(w)\\) individual size \\(w\\) set $$k(w) = k_s w^p + k w,$$ \\(k_s w^p\\) represents rate standard metabolism \\(k w\\) rate energy expended activity movement. values \\(k_s\\), \\(p\\) \\(k\\) taken ks, p k columns species parameter dataframe. parameters supplied, defaults \\(k = 0\\), \\(p = 3/4\\) $$k_s = f_c h \\alpha w_{mat}^{n-p},$$ \\(f_c\\) critical feeding level taken fc column species parameter data frame. critical feeding level specified, default \\(f_c = 0.2\\) used. metab slot comment reset = FALSE, recalculation species parameters suppressed message issued recalculated values differ stored ones.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setParams.html","id":"setting-external-mortality-rate","dir":"Reference","previous_headings":"","what":"Setting external mortality rate","title":"Set or change any model parameters — setParams","text":"external mortality mortality due fishing predation predators included model. external mortality due predation predators explicitly included model (e.g. mammals seabirds) due causes like illness. rate units 1/year. ext_mort argument allows specify external mortality rate depends species body size. can see example Examples section help page setExtMort(). ext_mort argument supplied, external mortality taken species parameters $$\\mu_{ext.}(w) = z_{0.} + z_{ext.} w^{d_i}.$$ value constant \\(z_0\\) species taken z0 column species parameter data frame, column exists. Otherwise calculated $$z_{0.} = {\\tt z0pre}_i\\, w_{inf}^{\\tt z0exp}.$$ Missing values z_ext set 0 missing values d set n - 1.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setParams.html","id":"setting-external-encounter-rate","dir":"Reference","previous_headings":"","what":"Setting external encounter rate","title":"Set or change any model parameters — setParams","text":"external encounter rate rate predator encounters food explicitly modelled. rate units mass/year. ext_encounter argument allows specify external encounter rate depends species body size. can see example Examples section help page setExtEncounter(). ext_encounter argument supplied, external encounter rate calculated power law: $$E_{ext.}(w) = E_{ext.}\\, w^{n_i}.$$ coefficient \\(E_{ext.}\\) taken E_ext column species parameter data frame, defaults 0. exponent \\(n_i\\) taken n column species parameter data frame. ext_encounter slot comment reset = FALSE, recalculation species parameters suppressed message issued recalculated values differ stored ones.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setParams.html","id":"setting-external-diffusion-rate","dir":"Reference","previous_headings":"","what":"Setting external diffusion rate","title":"Set or change any model parameters — setParams","text":"external diffusion rate allows impose additional diffusion abundance density body size beyond predation-driven diffusion computed mizerDiffusion(). ext_diffusion argument allows specify diffusion rate depends species body size. ext_diffusion argument supplied, external diffusion rate calculated power law: $$D_{ext.}(w) = D_{ext.}\\, w^{n_i+1}.$$ coefficient \\(D_{ext.}\\) taken D_ext column species parameter data frame, defaults 0. exponent \\(n_i + 1\\) uses n column species parameter data frame. ext_diffusion slot comment reset = FALSE, recalculation species parameters suppressed message issued recalculated values differ stored ones.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setParams.html","id":"setting-reproduction","dir":"Reference","previous_headings":"","what":"Setting reproduction","title":"Set or change any model parameters — setParams","text":"species size, proportion \\(\\psi\\) available energy invested reproduction product two factors: proportion maturity individuals mature proportion repro_prop energy available mature individual invested reproduction. size w_repro_max energy invested reproduction therefore growth stops. can fish larger w_repro_max. specified w_repro_max column species parameter data frame, maximum size w_max used instead.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setParams.html","id":"maturity-ogive","dir":"Reference","previous_headings":"","what":"Maturity ogive","title":"Set or change any model parameters — setParams","text":"proportion individuals mature supplied via maturity argument, set sigmoidal maturity ogive changes 0 1 around maturity size: $${\\tt maturity}(w) = \\left[1+\\left(\\frac{w}{w_{mat}}\\right)^{-U}\\right]^{-1}.$$ (avoid clutter, showing species index equations, although species maturity ogive.) maturity weights taken w_mat column species_params data frame. missing maturity weights set 1/4 maximum weight w_max column. exponent \\(U\\) determines steepness maturity ogive. default chosen \\(U = 10\\), however can overridden including column w_mat25 species parameter dataframe specifies weight 25% individuals mature, sets \\(U = \\log(3) / \\log(w_{mat} / w_{mat25}).\\) sigmoidal function given strictly reach 1 asymptotically. computational simplicity, proportion smaller 1e-8 set 0.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setParams.html","id":"investment-into-reproduction","dir":"Reference","previous_headings":"","what":"Investment into reproduction","title":"Set or change any model parameters — setParams","text":"energy available mature individual invested reproduction supplied via repro_prop argument, set allometric form $${\\tt repro\\_prop}(w) =   \\left(\\frac{w}{w_{\\tt{repro\\_max}}}\\right)^{m-n}.$$ \\(n\\) scaling exponent energy income rate. Hence exponent \\(m\\) determines scaling investment reproduction mature individuals. default chosen \\(m = 1\\) rate energy invested reproduction scales linearly size. default can overridden including column m species parameter dataframe. maximum sizes taken w_repro_max column species parameter data frame, exists, otherwise w_max column. total proportion energy invested reproduction individual size \\(w\\) $$\\psi(w) = {\\tt maturity}(w){\\tt repro\\_prop}(w)$$ mizer edition 1, sizes w_repro_max value \\(\\psi\\) additionally forced 1, available energy invested reproduction growth stops. edition 2 forcing applied, \\(\\psi\\) determined entirely maturity ogive reproductive proportion.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setParams.html","id":"reproductive-efficiency","dir":"Reference","previous_headings":"","what":"Reproductive efficiency","title":"Set or change any model parameters — setParams","text":"reproductive efficiency \\(\\epsilon\\), .e., proportion energy allocated reproduction results egg biomass, set erepro column species_params data frame. provided, default set 1 (want override). offspring biomass divided egg biomass gives rate egg production, returned getRDI(): $$R_{di} = \\frac{\\epsilon}{2 w_{min}} \\int N(w)  E_r(w) \\psi(w) \\, dw$$","code":""},{"path":"https://sizespectrum.org/mizer/reference/setParams.html","id":"density-dependence","dir":"Reference","previous_headings":"","what":"Density dependence","title":"Set or change any model parameters — setParams","text":"stock-recruitment relationship emergent phenomenon mizer, several sources density dependence. Firstly, amount energy invested reproduction depends energy income spawners, density-dependent due competition prey. Secondly, proportion larvae grow recruitment size depends larval mortality, depends density predators, larval growth rate, depends density prey. Finally, encode density dependence stock-recruitment relationship already included two sources density dependence, mizer puts density-independent rate egg production density-dependence function. result returned getRDD(). name density-dependence function specified RDD argument. default Beverton-Holt function BevertonHoltRDD(), requires R_max column species_params data frame giving maximum egg production rate. column exist, initialised Inf, leading density-dependence. functions provided mizer RickerRDD() SheperdRDD() can easily use models writing functions.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setParams.html","id":"setting-fishing","dir":"Reference","previous_headings":"","what":"Setting fishing","title":"Set or change any model parameters — setParams","text":"Gears mizer, fishing mortality imposed species fishing gears. total per-capita fishing mortality (1/year) obtained summing mortality gears, $$\\mu_{f.}(w) = \\sum_g F_{g,}(w),$$ fishing mortality \\(F_{g,}(w)\\) imposed gear \\(g\\) species \\(\\) size \\(w\\) calculated : $$F_{g,}(w) = S_{g,}(w) Q_{g,} E_{g},$$ \\(S\\) selectivity species, gear size, \\(Q\\) catchability species gear \\(E\\) fishing effort gear. Selectivity selectivity size gear species saved three dimensional array (gear x species x size). entry range 0 (gear selecting species size) 1 (gear selecting individuals species size). three dimensional array can specified explicitly via selectivity argument, usually mizer calculates gear_params slot MizerParams object. allow calculation selectivity array, gear_params slot must data frame one row gear-species combination. example gear can select three species, gear contributes three rows gear_params data frame, one species can select. data frame must columns gear, holding name gear, species, holding name species, sel_func, holding name function calculates selectivity curve. selectivity functions included package: knife_edge(), sigmoid_length(), double_sigmoid_length(), sigmoid_weight(). Users able write size-based selectivity function. first argument function must w function must return vector selectivity (0 1) size. selectivity function may parameters. Values parameters must included columns gear parameters data.frame. names columns must exactly match names corresponding arguments selectivity function. example, default selectivity function knife_edge() sudden change selectivity 0 1 certain size. help page can see knife_edge() function arguments w knife_edge_size. first argument, w, size (function calculates selectivity size). selectivity functions must w first argument. values arguments must found gear parameters data.frame. knife_edge() function knife_edge_size column. knife_edge() default selectivity function, knife_edge_size argument default value = w_mat. commonly-used selectivity function sigmoid_length(). smooth transition 0 1 certain size. sigmoid_length() function two parameters l50 l25 lengths cm 50% 25% fish selected gear. choose selectivity function l50 l25 columns must included gear parameters data.frame. case species selected one gear, columns gear_params data frame can alternatively provided columns species_params data frame, convenient user set . Mizer copy columns create gear_params data frame creates MizerParams object. However changing columns species parameter data frame later update gear_params data frame. Catchability Catchability used additional factor make link gear selectivity, fishing effort fishing mortality. example, can set effort 1 gives desired fishing mortality. way effort can specified relative 'base effort', e.g. effort particular year. Catchability stored two dimensional array (gear x species). can either provided explicitly via catchability argument, information can provided via catchability column gear_params data frame. case species selected single gear, catchability column can also provided species_params data frame. Mizer copy gear_params data frame MizerParams object created. Effort initial fishing effort stored MizerParams object. supplied, set zero. initial effort can overruled simulation run project(), also possible specify effort varies time.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/setPredKernel.html","id":null,"dir":"Reference","previous_headings":"","what":"Set predation kernel — setPredKernel","title":"Set predation kernel — setPredKernel","text":"predation kernel determines distribution prey sizes predator feeds . used getEncounter() calculating rate food encountered getPredRate() calculating rate prey predated upon. predation kernel can function predator/prey size ratio can function predator size prey size separately. types can set function.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setPredKernel.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Set predation kernel — setPredKernel","text":"","code":"setPredKernel(params, pred_kernel = NULL, reset = FALSE, ...)  getPredKernel(params)  pred_kernel(params)  pred_kernel(params) <- value"},{"path":"https://sizespectrum.org/mizer/reference/setPredKernel.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Set predation kernel — setPredKernel","text":"params MizerParams object pred_kernel Optional. array (species x predator size x prey size) holds predation coefficient predator size prey size. supplied, default set described section \"Setting predation kernel\". reset set TRUE, predation kernel reset value calculated species parameters, even previously overwritten custom value. set FALSE (default) recalculation species parameters take place custom value set. ... Unused value pred_kernel","code":""},{"path":"https://sizespectrum.org/mizer/reference/setPredKernel.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Set predation kernel — setPredKernel","text":"setPredKernel(): MizerParams object updated predation kernel. getPredKernel() equivalently pred_kernel(): array (predator species x predator_size x prey_size)","code":""},{"path":"https://sizespectrum.org/mizer/reference/setPredKernel.html","id":"setting-predation-kernel","dir":"Reference","previous_headings":"","what":"Setting predation kernel","title":"Set predation kernel — setPredKernel","text":"Kernel dependent predator prey size ratio pred_kernel argument supplied, function sets predation kernel depends ratio predator mass prey mass, two masses independently. shape kernel determined pred_kernel_type column species_params. default pred_kernel_type \"lognormal\". call function lognormal_pred_kernel() calculate predation kernel. alternative pred_kernel type \"box\", implemented function box_pred_kernel(), \"power_law\", implemented function power_law_pred_kernel(). functions require certain species parameters species_params data frame. lognormal kernel beta sigma, box kernel ppmr_min ppmr_max. explained help pages kernel functions. Except beta sigma, defaults set parameters. missing species_params data frame mizer issue error message. can use string pred_kernel_type. example choose \"\" need define function my_pred_kernel can model existing functions like lognormal_pred_kernel(). using kernel depends predator/prey size ratio , mizer need store entire three dimensional array MizerParams object. array can big large number size bins. Instead, mizer needs store two two-dimensional arrays hold Fourier transforms feeding kernel function allow encounter rate predation rate calculated efficiently. However, need full three-dimensional array can calculate getPredKernel() function. Kernel dependent predator prey size want work feeding kernel depends predator mass prey mass independently, can specify full feeding kernel three-dimensional array (predator species x predator size x prey size). use option kernel dependent predator/prey mass ratio appropriate. Using kernel dependent predator/prey mass ratio allows mizer use fast Fourier transform methods significantly reduce running time simulations. order predator species pred_kernel order species params dataframe params object. supply named array function check order warn different.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/setPredKernel.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Set predation kernel — setPredKernel","text":"","code":"## Set up a MizerParams object params <-  NS_params  ## If you change predation kernel parameters after setting up a model, #  this will be used to recalculate the kernel species_params(params)[\"Cod\", \"beta\"] <- 200  ## You can change to a different predation kernel type species_params(params)$ppmr_max <- 4000 species_params(params)$ppmr_min <- 200 species_params(params)$pred_kernel_type <- \"box\" plot(w_full(params), getPredKernel(params)[\"Cod\", 100, ], type=\"l\", log=\"x\")   ## If you need a kernel that depends also on prey size you need to define # it yourself. pred_kernel <- getPredKernel(params) pred_kernel[\"Herring\", , ] <- sweep(pred_kernel[\"Herring\", , ], 2,                                     params@w_full, \"*\") params<- setPredKernel(params, pred_kernel = pred_kernel)"},{"path":"https://sizespectrum.org/mizer/reference/setRateFunction.html","id":null,"dir":"Reference","previous_headings":"","what":"Set own rate function to replace mizer rate function — setRateFunction","title":"Set own rate function to replace mizer rate function — setRateFunction","text":"way mizer calculates fundamental rate entering model flexible enough (example need introduce time dependence) can write functions calculating rate use setRateFunction() register mizer.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setRateFunction.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Set own rate function to replace mizer rate function — setRateFunction","text":"","code":"setRateFunction(params, rate, fun)  getRateFunction(params, rate)  other_params(params)  other_params(params) <- value"},{"path":"https://sizespectrum.org/mizer/reference/setRateFunction.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Set own rate function to replace mizer rate function — setRateFunction","text":"params MizerParams object rate Name rate new function set. fun Name function use calculate rate. value named list user-defined parameters store other_params(params).","code":""},{"path":"https://sizespectrum.org/mizer/reference/setRateFunction.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Set own rate function to replace mizer rate function — setRateFunction","text":"setRateFunction(): updated MizerParams object getRateFunction(): name registered rate function requested rate, list rate functions called without rate argument. other_params(): user-defined parameters stored other_params(params), NULL none set. excludes component-specific parameters stored via setComponent().","code":""},{"path":"https://sizespectrum.org/mizer/reference/setRateFunction.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Set own rate function to replace mizer rate function — setRateFunction","text":"time step simulation project() function, mizer needs calculate instantaneous values various rates. default calls mizerRates() function creates list following components: encounter mizerEncounter() feeding_level mizerFeedingLevel() pred_rate mizerPredRate() pred_mort mizerPredMort() f_mort mizerFMort() mort mizerMort() resource_mort mizerResourceMort() e mizerEReproAndGrowth() e_repro mizerERepro() e_growth mizerEGrowth() diffusion mizerDiffusion() rdi mizerRDI() rdd BevertonHoltRDD() can substitute function. example written function calculating total mortality rate called myMort mizer model stored MizerParams object called params want run new mortality rate, call   general want replace function mizerSomeRateFunc() function myVersionOfThis() call   extreme cases may need swap entire mizerRates() function function called myRates(). can   new rate functions may need model parameters. can store other_params(params). example   Note rate functions need defined global environment package. defined within function mizer find .","code":"params <- setRateFunction(params, \"Mort\", \"myMort\") params <- setRateFunction(params, \"SomeRateFunc\", \"myVersionOfThis\") params <- setRateFunction(params, \"Rates\", \"myRates\") other_params(params)$my_param <- 42"},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/setReproduction.html","id":null,"dir":"Reference","previous_headings":"","what":"Set reproduction parameters — setReproduction","title":"Set reproduction parameters — setReproduction","text":"Sets proportion total energy available reproduction growth invested reproduction function size individual sets additional density dependence.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setReproduction.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Set reproduction parameters — setReproduction","text":"","code":"setReproduction(   params,   maturity = NULL,   repro_prop = NULL,   reset = FALSE,   RDD = NULL,   ... )  getMaturityProportion(params)  maturity(params)  maturity(params) <- value  getReproductionProportion(params)  repro_prop(params)  repro_prop(params) <- value"},{"path":"https://sizespectrum.org/mizer/reference/setReproduction.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Set reproduction parameters — setReproduction","text":"params MizerParams object maturity Optional. array (species x size) holds proportion individuals species size mature. supplied, default set described section \"Setting reproduction\". repro_prop Optional. array (species x size) holds proportion energy available growth reproduction mature individual allocates reproduction species size. supplied, default set described section \"Setting reproduction\". reset set TRUE, maturity repro_prop reset value calculated species parameters, even previously overwritten custom values. set FALSE (default) recalculation species parameters take place custom values set. RDD name function calculating density-dependent reproduction rate density-independent rate. Defaults \"BevertonHoltRDD()\". ... Unused value desired new value respective parameter.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setReproduction.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Set reproduction parameters — setReproduction","text":"setReproduction(): MizerParams object updated reproduction parameters. getMaturityProportion() equivalently maturity(): ArraySpeciesBySize object (species x size) holds proportion individuals species size mature. getReproductionProportion() equivalently repro_prop(): ArraySpeciesBySize object (species x size) holds proportion energy available growth reproduction mature individual allocates reproduction species size. sizes maturity proportion zero, also reproduction proportion returned zero.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setReproduction.html","id":"setting-reproduction","dir":"Reference","previous_headings":"","what":"Setting reproduction","title":"Set reproduction parameters — setReproduction","text":"species size, proportion \\(\\psi\\) available energy invested reproduction product two factors: proportion maturity individuals mature proportion repro_prop energy available mature individual invested reproduction. size w_repro_max energy invested reproduction therefore growth stops. can fish larger w_repro_max. specified w_repro_max column species parameter data frame, maximum size w_max used instead.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setReproduction.html","id":"maturity-ogive","dir":"Reference","previous_headings":"","what":"Maturity ogive","title":"Set reproduction parameters — setReproduction","text":"proportion individuals mature supplied via maturity argument, set sigmoidal maturity ogive changes 0 1 around maturity size: $${\\tt maturity}(w) = \\left[1+\\left(\\frac{w}{w_{mat}}\\right)^{-U}\\right]^{-1}.$$ (avoid clutter, showing species index equations, although species maturity ogive.) maturity weights taken w_mat column species_params data frame. missing maturity weights set 1/4 maximum weight w_max column. exponent \\(U\\) determines steepness maturity ogive. default chosen \\(U = 10\\), however can overridden including column w_mat25 species parameter dataframe specifies weight 25% individuals mature, sets \\(U = \\log(3) / \\log(w_{mat} / w_{mat25}).\\) sigmoidal function given strictly reach 1 asymptotically. computational simplicity, proportion smaller 1e-8 set 0.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setReproduction.html","id":"investment-into-reproduction","dir":"Reference","previous_headings":"","what":"Investment into reproduction","title":"Set reproduction parameters — setReproduction","text":"energy available mature individual invested reproduction supplied via repro_prop argument, set allometric form $${\\tt repro\\_prop}(w) =   \\left(\\frac{w}{w_{\\tt{repro\\_max}}}\\right)^{m-n}.$$ \\(n\\) scaling exponent energy income rate. Hence exponent \\(m\\) determines scaling investment reproduction mature individuals. default chosen \\(m = 1\\) rate energy invested reproduction scales linearly size. default can overridden including column m species parameter dataframe. maximum sizes taken w_repro_max column species parameter data frame, exists, otherwise w_max column. total proportion energy invested reproduction individual size \\(w\\) $$\\psi(w) = {\\tt maturity}(w){\\tt repro\\_prop}(w)$$ mizer edition 1, sizes w_repro_max value \\(\\psi\\) additionally forced 1, available energy invested reproduction growth stops. edition 2 forcing applied, \\(\\psi\\) determined entirely maturity ogive reproductive proportion.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setReproduction.html","id":"reproductive-efficiency","dir":"Reference","previous_headings":"","what":"Reproductive efficiency","title":"Set reproduction parameters — setReproduction","text":"reproductive efficiency \\(\\epsilon\\), .e., proportion energy allocated reproduction results egg biomass, set erepro column species_params data frame. provided, default set 1 (want override). offspring biomass divided egg biomass gives rate egg production, returned getRDI(): $$R_{di} = \\frac{\\epsilon}{2 w_{min}} \\int N(w)  E_r(w) \\psi(w) \\, dw$$","code":""},{"path":"https://sizespectrum.org/mizer/reference/setReproduction.html","id":"density-dependence","dir":"Reference","previous_headings":"","what":"Density dependence","title":"Set reproduction parameters — setReproduction","text":"stock-recruitment relationship emergent phenomenon mizer, several sources density dependence. Firstly, amount energy invested reproduction depends energy income spawners, density-dependent due competition prey. Secondly, proportion larvae grow recruitment size depends larval mortality, depends density predators, larval growth rate, depends density prey. Finally, encode density dependence stock-recruitment relationship already included two sources density dependence, mizer puts density-independent rate egg production density-dependence function. result returned getRDD(). name density-dependence function specified RDD argument. default Beverton-Holt function BevertonHoltRDD(), requires R_max column species_params data frame giving maximum egg production rate. column exist, initialised Inf, leading density-dependence. functions provided mizer RickerRDD() SheperdRDD() can easily use models writing functions.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/setReproduction.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Set reproduction parameters — setReproduction","text":"","code":"# \\donttest{ # Plot maturity and reproduction ogives for Cod in North Sea model maturity <- getMaturityProportion(NS_params)[\"Cod\", ] repro_prop <- getReproductionProportion(NS_params)[\"Cod\", ] df <- data.frame(Size = w(NS_params),                  Reproduction = repro_prop,                  Maturity = maturity,                  Total = maturity * repro_prop) dff <- reshape2::melt(df, id.vars = \"Size\",             variable.name = \"Type\",             value.name = \"Proportion\") library(ggplot2) ggplot(dff) + geom_line(aes(x = Size, y = Proportion, colour = Type))  # }"},{"path":"https://sizespectrum.org/mizer/reference/setResource.html","id":null,"dir":"Reference","previous_headings":"","what":"Set resource dynamics — setResource","title":"Set resource dynamics — setResource","text":"Sets intrinsic resource birth rate intrinsic resource carrying capacity well name function used simulate resource dynamics. default, birth rate carrying capacity changed together way resource replenishes rate consumed. provide either resource_rate resource_capacity (resource_level) determined requirement resource replenishes rate consumed.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setResource.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Set resource dynamics — setResource","text":"","code":"setResource(   params,   resource_rate = NULL,   resource_capacity = NULL,   resource_level = NULL,   resource_dynamics = NULL,   lambda = resource_params(params)[[\"lambda\"]],   n = resource_params(params)[[\"n\"]],   w_pp_cutoff = resource_params(params)[[\"w_pp_cutoff\"]],   balance = NULL,   ... )  resource_rate(params)  resource_rate(params) <- value  resource_capacity(params)  resource_capacity(params) <- value  resource_level(params)  resource_level(params) <- value  resource_dynamics(params)  resource_dynamics(params) <- value"},{"path":"https://sizespectrum.org/mizer/reference/setResource.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Set resource dynamics — setResource","text":"params MizerParams object resource_rate Optional. vector per-capita resource birth rate size class single number giving coefficient power-law rate, see \"Setting resource dynamics\" . Must strictly positive. resource_capacity Optional. Vector resource intrinsic carrying capacities coefficient power-law capacity, see \"Setting resource dynamics\" . resource capacity must smaller resource abundance. resource_level Optional. ratio current resource number density resource capacity. Either number used sizes vector specifying value size. Must greater 0 1, except sizes resource zero, can NaN. determines resource capacity, specify resource_capacity. resource_dynamics Optional. Name function determines resource dynamics calculating resource spectrum next time step current state. lambda Used set power-law exponent resource capacity resource_capacity argument given single number. n Used set power-law exponent resource rate resource_rate argument given single number. w_pp_cutoff upper cut size resource spectrum power law used resource_capacity given single number. changing w_pp_cutoff without providing resource_capacity, cutoff can decreased. case, carrying capacity initial resource abundance cut new value. increase cutoff, must also provide resource_capacity extended range. balance default, possible, resource parameters set resource replenishes rate consumed. case specify either resource rate resource capacity (resource level) determined automatically. Set FALSE want balancing. ... Unused value desired new value respective parameter.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setResource.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Set resource dynamics — setResource","text":"setResource: MizerParams object updated resource parameters vector intrinsic resource birth rate size class. vector intrinsic resource capacity size class. vector ratio current resource number density resource capacity size class. name function determines resource dynamics.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setResource.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Set resource dynamics — setResource","text":"usually set resource dynamics finished calibration steady state. setting resource dynamics function preserve steady state, unless explicitly choose set balance = FALSE. choice resource dynamics affects dynamics around steady state. higher resource rate lower resource capacity less sensitive model changes competition resource. provide resource_level sets resource_capacity current resource number density divided resource level. case specify resource_capacity well. provide none arguments resource_level, resource_rate resource_capacity resource rate kept previous value.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setResource.html","id":"setting-resource-dynamics","dir":"Reference","previous_headings":"","what":"Setting resource dynamics","title":"Set resource dynamics — setResource","text":"resource_dynamics argument allows choose resource dynamics function. default, mizer uses semichemostat model describe resource dynamics size class independently. semichemostat dynamics implemented function resource_semichemostat(). can change use logistic model implemented resource_logistic() can use resource_constant() keeps resource constant can write function. resource_semichemostat() resource_logistic() dynamics parametrised terms size-dependent birth rate \\(r_R(w)\\) size-dependent capacity \\(c_R\\). help pages functions give details. resource_rate argument can vector (length w_full(params)) specifying intrinsic resource birth rate size class. Alternatively can single number used coefficient power law: intrinsic birth rate \\(r_R(w)\\) size \\(w\\) set $$r_R(w) = r_R w^{n-1}.$$ power-law exponent \\(n\\) taken n argument. resource_capacity argument can vector specifying intrinsic resource carrying capacity size class. Alternatively can single number used coefficient truncated power law: intrinsic carrying capacity \\(c_R(w)\\) size \\(w\\) set $$c_R(w) = c_R\\, w^{-\\lambda}$$ \\(w\\) less w_pp_cutoff zero larger sizes. power-law exponent \\(\\lambda\\) taken lambda argument. values lambda, n w_pp_cutoff stored list resource_params slot MizerParams object can re-used automatically future. list can accessed resource_params().","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/setResource.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Set resource dynamics — setResource","text":"","code":"params <- NS_params resource_dynamics(params) #> [1] \"resource_semichemostat\" resource_dynamics(params) <- \"resource_constant\""},{"path":"https://sizespectrum.org/mizer/reference/setRmax.html","id":null,"dir":"Reference","previous_headings":"","what":"Alias for setBevertonHolt() — setRmax","title":"Alias for setBevertonHolt() — setRmax","text":"alias provided backward compatibility mizer version <= 2.0.4","code":""},{"path":"https://sizespectrum.org/mizer/reference/setRmax.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Alias for setBevertonHolt() — setRmax","text":"","code":"setRmax(params, erepro, R_max, reproduction_level, ...)"},{"path":"https://sizespectrum.org/mizer/reference/setRmax.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Alias for setBevertonHolt() — setRmax","text":"params MizerParams object erepro Reproductive efficiency species. See details. R_max Maximum reproduction rate. See details. reproduction_level Sets R_max reproduction rate initial state R_max * reproduction_level. ... Unused R_factor: Legacy alternative specifying reproduction_level = 1 / R_factor.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setRmax.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Alias for setBevertonHolt() — setRmax","text":"MizerParams object","code":""},{"path":"https://sizespectrum.org/mizer/reference/setRmax.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Alias for setBevertonHolt() — setRmax","text":"Beverton-Holt density dependence relation energy invested reproduction number eggs hatched determined two parameters: reproductive efficiency erepro maximum reproduction rate R_max. maximum imposed reproduction rate (\\(R_{max} = \\infty\\)) resulting density-independent reproduction rate \\(R_{di}\\) proportional total rate \\(E_R\\) energy invested reproduction, $$R_{di} = \\frac{\\rm{erepro}}{2 w_{min}} E_R,$$ proportionality factor given reproductive efficiency erepro divided egg size w_min convert energy egg number divided 2 account two sexes. Imposing finite maximum reproduction rate \\(R_{max}\\) leads non-linear relationship energy invested eggs hatched. density-dependent reproduction rate \\(R_{dd}\\) given $$R_{dd} = R_{di} \\frac{R_{max}}{R_{di} + R_{max}}.$$ (quantities equations species-specific dropped species index simplicity.) following plot illustrates Beverton-Holt density dependence reproduction rate two different choices parameters. plot shows given energy \\(E_R\\) invested reproduction can lead reproduction rate \\(R_{dd}\\) different choices parameters R_max erepro. R_max determines asymptote curve erepro initial slope. higher R_max coupled lower erepro (black curves) can give value lower R_max coupled higher erepro (blue curves). given initial state MizerParams object params one can calculate energy \\(E_R\\) invested reproduction mature individuals reproduction rate \\(R_{dd}\\) required keep egg abundance constant. two values determine location black dot graph. need one parameter select one curve family Beverton-Holt curves going point. parameter can erepro R_max. Instead R_max can alternatively specify reproduction_level ratio density-dependent reproduction rate \\(R_{dd}\\) maximal reproduction rate  \\(R_{max}\\). provide value reproduction parameter arguments, erepro set value current species parameter data frame. provide one reproduction parameters, can either vector one value species, named vector names determine species affected, single unnamed value used species. species given value NA remain unaffected. values R_max must larger \\(R_{dd}\\) can range Inf. smaller value requested warning issued value increased value required reproduction level 0.99. values reproduction_level must non-negative less 1. values erepro must large enough allow required reproduction rate. smaller value requested warning issued value increased smallest possible value. values erepro also smaller 1 physiologically sensible, enforced function. can seen graph , choosing lower value R_max higher value erepro means near steady state reproduction less sensitive change energy invested reproduction hence less sensitive changes spawning stock biomass energy income. result species also less sensitive fishing, leading higher F_MSY.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setRmax.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Alias for setBevertonHolt() — setRmax","text":"","code":"params <- NS_params species_params(params)$erepro #>  [1] 1 1 1 1 1 1 1 1 1 1 1 1 # Attempting to set the same erepro for all species params <- setBevertonHolt(params, erepro = 0.1) #> Warning: For the following species `erepro` has been increased to the smallest possible value: erepro[Gurnard] = 0.558; erepro[Plaice] = 0.921 t(species_params(params)[, c(\"erepro\", \"R_max\")]) #>               Sprat      Sandeel       N.pout      Herring          Dab #> erepro 1.000000e-01 1.000000e-01 1.000000e-01 1.000000e-01 1.000000e-01 #> R_max  8.071481e+11 4.112049e+11 3.472063e+13 1.197577e+12 1.167176e+10 #>            Whiting         Sole   Gurnard    Plaice      Haddock          Cod #> erepro 1.00000e-01 1.000000e-01 0.5582259 0.9212325 1.000000e-01          0.1 #> R_max  6.22081e+11 4.007876e+10       Inf       Inf 3.929056e+12 8280106764.0 #>              Saithe #> erepro 1.000000e-01 #> R_max  1.145835e+11 # Setting erepro for some species params <- setBevertonHolt(params, erepro = c(\"Gurnard\" = 0.6, \"Plaice\" = 0.95)) t(species_params(params)[, c(\"erepro\", \"R_max\")]) #>               Sprat      Sandeel       N.pout      Herring          Dab #> erepro 1.000000e-01 1.000000e-01 1.000000e-01 1.000000e-01 1.000000e-01 #> R_max  8.071481e+11 4.112049e+11 3.472063e+13 1.197577e+12 1.167176e+10 #>            Whiting         Sole      Gurnard       Plaice      Haddock #> erepro 1.00000e-01 1.000000e-01 6.000000e-01 9.500000e-01 1.000000e-01 #> R_max  6.22081e+11 4.007876e+10 1.047481e+13 1.082568e+15 3.929056e+12 #>                 Cod       Saithe #> erepro          0.1 1.000000e-01 #> R_max  8280106764.0 1.145835e+11 # Setting R_max R_max <- 1e17 * species_params(params)$w_max^-1 params <- setBevertonHolt(NS_params, R_max = R_max) #> Warning: The following species require an unrealistic value greater than 1 for `erepro`: Plaice t(species_params(params)[, c(\"erepro\", \"R_max\")]) #>               Sprat      Sandeel       N.pout      Herring          Dab #> erepro 9.274305e-03 1.297184e-04 7.257409e-02 8.045063e-03 4.224791e-03 #> R_max  3.030303e+15 2.777778e+15 1.000000e+15 2.994012e+14 3.086420e+14 #>             Whiting         Sole      Gurnard       Plaice      Haddock #> erepro 1.292557e-02 3.571380e-03 5.609587e-01 3.773957e+01 6.020565e-02 #> R_max  8.389262e+13 1.154734e+14 1.497006e+14 3.360215e+13 2.316692e+13 #>                 Cod       Saithe #> erepro 6.375069e-05 2.433424e-03 #> R_max  2.509328e+12 2.521521e+12 # Setting reproduction_level params <- setBevertonHolt(params, reproduction_level = 0.3) #> Warning: The following species require an unrealistic value greater than 1 for `erepro`: Plaice t(species_params(params)[, c(\"erepro\", \"R_max\")]) #>               Sprat      Sandeel       N.pout      Herring          Dab #> erepro 1.324581e-02 1.852847e-04 1.026645e-01 1.145066e-02 6.035197e-03 #> R_max  2.441029e+12 1.368905e+12 3.256200e+13 3.671952e+12 3.726224e+10 #>             Whiting         Sole      Gurnard       Plaice      Haddock #> erepro 1.834577e-02 5.100263e-03 7.974655e-01 1.316046e+00 7.954325e-02 #> R_max  1.807310e+12 1.288262e+11 2.430980e+12 1.092730e+14 5.804489e+12 #>                 Cod       Saithe #> erepro 9.077210e-05 3.322021e-03 #> R_max  2.758282e+10 3.730633e+11"},{"path":"https://sizespectrum.org/mizer/reference/setSearchVolume.html","id":null,"dir":"Reference","previous_headings":"","what":"Set search volume — setSearchVolume","title":"Set search volume — setSearchVolume","text":"Set search volume","code":""},{"path":"https://sizespectrum.org/mizer/reference/setSearchVolume.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Set search volume — setSearchVolume","text":"","code":"setSearchVolume(params, search_vol = NULL, reset = FALSE, ...)  getSearchVolume(params)  search_vol(params)  search_vol(params) <- value"},{"path":"https://sizespectrum.org/mizer/reference/setSearchVolume.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Set search volume — setSearchVolume","text":"params MizerParams search_vol Optional. array (species x size) holding search volume species size. supplied, default set described section \"Setting search volume\". reset set TRUE, search volume reset value calculated species parameters, even previously overwritten custom value. set FALSE (default) recalculation species parameters take place custom value set. ... Unused value search_vol","code":""},{"path":"https://sizespectrum.org/mizer/reference/setSearchVolume.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Set search volume — setSearchVolume","text":"setSearchVolume(): MizerParams object updated search volume. getSearchVolume() equivalently search_vol(): ArraySpeciesBySize object (species x size) holding search volume.","code":""},{"path":"https://sizespectrum.org/mizer/reference/setSearchVolume.html","id":"setting-search-volume","dir":"Reference","previous_headings":"","what":"Setting search volume","title":"Set search volume — setSearchVolume","text":"search volume \\(\\gamma_i(w)\\) individual species \\(\\) weight \\(w\\) multiplies predation kernel calculating encounter rate getEncounter() predation rate getPredRate(). name \"search volume\" bit misleading, \\(\\gamma_i(w)\\) units volume. simply parameter determines rate predation. units depend choice, see section \"Units mizer\". chosen work total abundances, rate units 1/year. chosen work abundances per m^2 units m^2/year. chosen work abundances per m^3 units m^3/year. search_vol argument supplied, search volume set $$\\gamma_i(w) = \\gamma_i w^q_i.$$ values \\(\\gamma_i\\) (search volume 1g) \\(q_i\\) (allometric exponent search volume) taken gamma q columns species parameter dataframe. gamma column supplied species parameter dataframe, default calculated get_gamma_default() function. q column supplied, default lambda - 2 + n used. Note predators size \\(w = 1\\) gram value species parameter \\(\\gamma_i\\) value search volume \\(\\gamma_i(w)\\). search_vol slot comment reset = FALSE, recalculation species parameters suppressed message issued recalculated values differ stored ones.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/set_community_model.html","id":null,"dir":"Reference","previous_headings":"","what":"Deprecated function for setting up parameters for a community-type model — set_community_model","title":"Deprecated function for setting up parameters for a community-type model — set_community_model","text":"function deprecated favour function newCommunityParams() sets better default values.","code":""},{"path":"https://sizespectrum.org/mizer/reference/set_community_model.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Deprecated function for setting up parameters for a community-type model — set_community_model","text":"","code":"set_community_model(   max_w = 1e+06,   min_w = 0.001,   min_w_pp = 1e-10,   z0 = 0.1,   alpha = 0.2,   h = 10,   beta = 100,   sigma = 2,   q = 0.8,   n = 2/3,   kappa = 1000,   lambda = 2 + q - n,   f0 = 0.7,   r_pp = 10,   gamma = NA,   knife_edge_size = 1000,   knife_is_min = TRUE,   recruitment = kappa * min_w^-lambda,   rec_mult = 1,   ... )"},{"path":"https://sizespectrum.org/mizer/reference/set_community_model.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Deprecated function for setting up parameters for a community-type model — set_community_model","text":"max_w maximum size community. w_inf species used represent community set value. default value 1e6. min_w minimum size community. Default value 1e-3. min_w_pp smallest size resource spectrum. z0 background mortality community. Default value 0.1. alpha assimilation efficiency community. Default value 0.2 h maximum food intake rate. Default value 10. beta preferred predator prey mass ratio. Default value 100. sigma width prey preference. Default value 2.0. q search volume exponent. Default value 0.8. n scaling intake. Default value 2/3. kappa carrying capacity resource spectrum. Default value 1000. lambda exponent resource spectrum. Default value 2 + q - n. f0 average feeding level individuals feed power-law spectrum. value used calculate search rate parameter gamma (see package vignette). Default value 0.7. r_pp Growth rate parameter resource spectrum. Default value 10. gamma Volumetric search rate. Estimated using h, f0 kappa supplied. knife_edge_size size edge knife-selectivity function. Default value 1000. knife_is_min knife-edge selectivity function selecting (TRUE) (FALSE) edge. Default TRUE. recruitment constant recruitment smallest size class community spectrum. set community spectrum continues resource spectrum. Default value = kappa * min_w^-lambda. rec_mult Additional multiplier constant recruitment. Default value 1. ... arguments pass MizerParams constructor.","code":""},{"path":"https://sizespectrum.org/mizer/reference/set_community_model.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Deprecated function for setting up parameters for a community-type model — set_community_model","text":"object type MizerParams","code":""},{"path":"https://sizespectrum.org/mizer/reference/set_community_model.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Deprecated function for setting up parameters for a community-type model — set_community_model","text":"functions creates MizerParams object community-type models can easily set run. community model several features distinguish food-web type models. one 'species' resolved, .e. one 'species' used represent whole community. resource spectrum extends start community spectrum. Recruitment smallest size community spectrum constant set user. recruitment constant, proportion energy invested reproduction (slot psi returned MizerParams object) set 0. Standard metabolism turned (parameter ks set 0). Consequently, growth rate now determined solely assimilated food (see package vignette details). function many arguments, default values. main arguments users concerned z0, recruitment, alpha f0 determine average growth rate community. Fishing selectivity modelled knife-edge function one parameter, knife_edge_size, determines size species selected. resulting MizerParams object can projected forward using project() like MizerParams object. projecting community model may necessary keep small time step size dt around 0.1 avoid instabilities solver. can check numerical instabilities plotting biomass abundance time projection.","code":""},{"path":"https://sizespectrum.org/mizer/reference/set_community_model.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Deprecated function for setting up parameters for a community-type model — set_community_model","text":"K. H. Andersen,J. E. Beyer P. Lundberg, 2009, Trophic individual efficiencies size-structured communities, Proceedings Royal Society, 276, 109-114","code":""},{"path":"https://sizespectrum.org/mizer/reference/set_community_model.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Deprecated function for setting up parameters for a community-type model — set_community_model","text":"","code":"# \\donttest{ params <- set_community_model(f0=0.7, z0=0.2, recruitment=3e7) #> Warning: `set_community_model()` was deprecated in mizer 2.0.0. #> ℹ Please use `newCommunityParams()` instead. #> Note: No m column in species data frame so using m = 1. # This is now achieved with params <- newCommunityParams(f0 = 0.7, z0 = 0.2) sim <- project(params, effort = 0, t_max = 100, dt=0.1) plotBiomass(sim)  plotSpectra(sim)  # }"},{"path":"https://sizespectrum.org/mizer/reference/set_multispecies_model.html","id":null,"dir":"Reference","previous_headings":"","what":"Deprecated obsolete function for setting up multispecies parameters — set_multispecies_model","title":"Deprecated obsolete function for setting up multispecies parameters — set_multispecies_model","text":"function deprecated favour function newMultispeciesParams() sets better default values. wrapper keeps legacy defaults also fills several columns species_params missing, using rules older mizer versions.","code":""},{"path":"https://sizespectrum.org/mizer/reference/set_multispecies_model.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Deprecated obsolete function for setting up multispecies parameters — set_multispecies_model","text":"","code":"set_multispecies_model(   species_params,   interaction = matrix(1, nrow = nrow(species_params), ncol = nrow(species_params)),   min_w_pp = 1e-10,   min_w = 0.001,   max_w = NULL,   no_w = 100,   n = 2/3,   q = 0.8,   f0 = 0.6,   kappa = 1e+11,   lambda = 2 + q - n,   r_pp = 10,   ... )"},{"path":"https://sizespectrum.org/mizer/reference/set_multispecies_model.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Deprecated obsolete function for setting up multispecies parameters — set_multispecies_model","text":"species_params data frame species-specific parameter values. interaction Optional interaction matrix species (predator species x prey species). default entries 1. See \"Setting interaction matrix\" section . min_w_pp smallest size resource spectrum. default set smallest value consumers can feed. min_w Sets size eggs species given w_min column species_params dataframe. max_w largest size consumer spectrum. default set largest w_max specified species_params data frame. no_w number size bins consumer spectrum. n allometric growth exponent. can overruled individual species including n column species_params. q Allometric exponent search volume f0 Expected average feeding level. Used set gamma, coefficient search rate. Ignored gamma given explicitly. kappa coefficient initial resource abundance power-law. lambda Used set power-law exponent resource capacity resource_capacity argument given single number. r_pp . Use resource_rate argument instead. ... arguments passed newMultispeciesParams().","code":""},{"path":"https://sizespectrum.org/mizer/reference/set_multispecies_model.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Deprecated obsolete function for setting up multispecies parameters — set_multispecies_model","text":"MizerParams object","code":""},{"path":"https://sizespectrum.org/mizer/reference/set_multispecies_model.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Deprecated obsolete function for setting up multispecies parameters — set_multispecies_model","text":"species_params contains w_inf column copied w_max. max_w supplied set 1.1 * max(species_params$w_max). supplied min_w_pp shifted one grid step passed newMultispeciesParams() compensate fact newer mizer versions extend full size grid min_w_pp. Missing legacy columns species_params filled follows: gear = species, k = 0, alpha = 0.6, erepro = 1, sel_func = \"knife_edge\", knife_edge_size = w_mat needed, catchability = 1, ks = h * 0.2, m = 1. h missing calculated k_vb, alpha, f0 w_max. gamma missing calculated f0, h, beta, sigma, lambda kappa.","code":""},{"path":"https://sizespectrum.org/mizer/reference/set_species_param_default.html","id":null,"dir":"Reference","previous_headings":"","what":"Set a species parameter to a default value — set_species_param_default","title":"Set a species parameter to a default value — set_species_param_default","text":"species parameter yet exist species parameter data frame, create fill default. Otherwise use default fill NAs. Optionally gives message parameter already exist. signal class info_about_default.","code":""},{"path":"https://sizespectrum.org/mizer/reference/set_species_param_default.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Set a species parameter to a default value — set_species_param_default","text":"","code":"set_species_param_default(object, parname, default, message = NULL)"},{"path":"https://sizespectrum.org/mizer/reference/set_species_param_default.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Set a species parameter to a default value — set_species_param_default","text":"object Either MizerParams object species parameter data frame parname string name species parameter set default single default value vector one default value species message string message issued parameter already exist","code":""},{"path":"https://sizespectrum.org/mizer/reference/set_species_param_default.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Set a species parameter to a default value — set_species_param_default","text":"object updated column species params data frame.","code":""},{"path":"https://sizespectrum.org/mizer/reference/set_trait_model.html","id":null,"dir":"Reference","previous_headings":"","what":"Deprecated function for setting up parameters for a trait-based model — set_trait_model","title":"Deprecated function for setting up parameters for a trait-based model — set_trait_model","text":"function deprecated favour function newTraitParams() sets better default values.","code":""},{"path":"https://sizespectrum.org/mizer/reference/set_trait_model.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Deprecated function for setting up parameters for a trait-based model — set_trait_model","text":"","code":"set_trait_model(   no_sp = 10,   min_w_inf = 10,   max_w_inf = 1e+05,   no_w = 100,   min_w = 0.001,   max_w = max_w_inf * 1.1,   min_w_pp = 1e-10,   w_pp_cutoff = 1,   k0 = 50,   n = 2/3,   p = 0.75,   q = 0.9,   eta = 0.25,   r_pp = 4,   kappa = 0.005,   lambda = 2 + q - n,   alpha = 0.6,   ks = 4,   z0pre = 0.6,   h = 30,   beta = 100,   sigma = 1.3,   f0 = 0.5,   gamma = NA,   knife_edge_size = 1000,   gear_names = \"knife_edge_gear\",   ... )"},{"path":"https://sizespectrum.org/mizer/reference/set_trait_model.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Deprecated function for setting up parameters for a trait-based model — set_trait_model","text":"no_sp number species model. default value 10. species, longer takes run. min_w_inf asymptotic size smallest species community. max_w_inf asymptotic size largest species community. no_w number size bins community spectrum. min_w smallest size community spectrum. max_w Maximum size consumer size grid passed MizerParams(). Default value max_w_inf * 1.1. min_w_pp Smallest size resource size grid passed MizerParams(). Default value 1e-10. w_pp_cutoff cut size resource spectrum. Default value 1. k0 Multiplier maximum recruitment. Default value 50. n Scaling intake. Default value 2/3. p Scaling standard metabolism. Default value 0.75. q Exponent search volume. Default value 0.9. eta Factor calculate w_mat asymptotic size. r_pp Growth rate parameter resource spectrum. Default value 4. kappa Coefficient abundance power law. Default value 0.005. lambda Exponent abundance power law. Default value (2+q-n). alpha assimilation efficiency community. default value 0.6 ks Standard metabolism coefficient. Default value 4. z0pre coefficient background mortality community. z0 = z0pre * w_inf ^ (n-1). default value 0.6. h Maximum food intake rate. Default value 30. beta Preferred predator prey mass ratio. Default value 100. sigma Width prey size preference. Default value 1.3. f0 Expected average feeding level. Used set gamma, factor search volume. default value 0.5. gamma Volumetric search rate. Estimated using h, f0 kappa supplied. knife_edge_size minimum size gear gears select species. Must length 1 no_sp. gear_names names fishing gears. character vector, length number species. Default 1 - no_sp. ... arguments pass MizerParams constructor.","code":""},{"path":"https://sizespectrum.org/mizer/reference/set_trait_model.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Deprecated function for setting up parameters for a trait-based model — set_trait_model","text":"object type MizerParams","code":""},{"path":"https://sizespectrum.org/mizer/reference/set_trait_model.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Deprecated function for setting up parameters for a trait-based model — set_trait_model","text":"functions creates MizerParams object trait-based-type models can easily set run. trait-based size spectrum model can derived simplification general size-based model used mizer. species-specific parameters species, except asymptotic size, considered important trait characterizing species. parameters related asymptotic size. example, size maturity given w_max * eta, eta species. trait-based model number species important. applications trait-based model see Andersen & Pedersen (2010). See mizer vignette details examples trait-based model. function many arguments, default values. particular interest user number species model minimum maximum asymptotic sizes. asymptotic sizes species spread evenly logarithmic scale within range. stock recruitment relationship default Beverton-Holt style. maximum recruitment calculated using equilibrium theory (see Andersen & Pedersen, 2010) multiplier, k0. Users adjust k0 get spectra want. factor search volume, gamma, calculated using expected feeding level, f0. Fishing selectivity modelled knife-edge function one parameter, knife_edge_size, size species selected. species can either fished gear (knife_edge_size length 1) different gear (length knife_edge_size length number species order selectivity size asymptotic size). resulting MizerParams object can projected forward using project like MizerParams object. projecting community model may necessary reduce dt 0.1 avoid instabilities solver. can check plotting biomass abundance time projection.","code":""},{"path":"https://sizespectrum.org/mizer/reference/set_trait_model.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Deprecated function for setting up parameters for a trait-based model — set_trait_model","text":"K. H. Andersen M. Pedersen, 2010, Damped trophic cascades driven fishing model marine ecosystems. Proceedings Royal Society V, Biological Sciences, 1682, 795-802.","code":""},{"path":"https://sizespectrum.org/mizer/reference/sigmoid_length.html","id":null,"dir":"Reference","previous_headings":"","what":"Length based sigmoid selectivity function — sigmoid_length","title":"Length based sigmoid selectivity function — sigmoid_length","text":"sigmoid shaped selectivity function. Based two parameters l25 l50 determine length 25% 50% stock selected respectively.","code":""},{"path":"https://sizespectrum.org/mizer/reference/sigmoid_length.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Length based sigmoid selectivity function — sigmoid_length","text":"","code":"sigmoid_length(w, l25, l50, species_params, ...)"},{"path":"https://sizespectrum.org/mizer/reference/sigmoid_length.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Length based sigmoid selectivity function — sigmoid_length","text":"w Vector sizes. l25 length gives selectivity 25%. l50 length gives selectivity 50%. species_params list species params current species. Used get length-weight parameters b. ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/sigmoid_length.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Length based sigmoid selectivity function — sigmoid_length","text":"Vector selectivities given sizes.","code":""},{"path":"https://sizespectrum.org/mizer/reference/sigmoid_length.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Length based sigmoid selectivity function — sigmoid_length","text":"selectivity given logistic function $$S(l) = \\frac{1}{1 + \\exp\\left(\\log(3)\\frac{l50 -l}{l50 - l25}\\right)}$$ mizer model weight based, selectivity function length based, uses length-weight parameters b convert length weight $$l = \\left(\\frac{w}{}\\right)^{1/b}$$","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/sigmoid_weight.html","id":null,"dir":"Reference","previous_headings":"","what":"Weight based sigmoidal selectivity function — sigmoid_weight","title":"Weight based sigmoidal selectivity function — sigmoid_weight","text":"sigmoidal selectivity function 50% selectivity weight sigmoidal_weight \\(=w_{\\text{sigmoid}}\\) width sigmoidal_sigma \\(=\\sigma\\). $$S(w) = \\left(1 + \\left(\\frac{w}{w_{\\text{sigmoid}}}\\right)^{-\\sigma}\\right)^{-1}$$","code":""},{"path":"https://sizespectrum.org/mizer/reference/sigmoid_weight.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Weight based sigmoidal selectivity function — sigmoid_weight","text":"","code":"sigmoid_weight(w, sigmoidal_weight, sigmoidal_sigma, ...)"},{"path":"https://sizespectrum.org/mizer/reference/sigmoid_weight.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Weight based sigmoidal selectivity function — sigmoid_weight","text":"w Vector sizes. sigmoidal_weight weight selectivity 50%. sigmoidal_sigma width selection function. ... Unused","code":""},{"path":"https://sizespectrum.org/mizer/reference/sigmoid_weight.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Weight based sigmoidal selectivity function — sigmoid_weight","text":"Vector selectivities given sizes.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/simExtensionClass.html","id":null,"dir":"Reference","previous_headings":"","what":"Derive the MizerSim marker class name for a given extension — simExtensionClass","title":"Derive the MizerSim marker class name for a given extension — simExtensionClass","text":"Derive MizerSim marker class name given extension","code":""},{"path":"https://sizespectrum.org/mizer/reference/simExtensionClass.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Derive the MizerSim marker class name for a given extension — simExtensionClass","text":"","code":"simExtensionClass(extension)"},{"path":"https://sizespectrum.org/mizer/reference/simExtensionClass.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Derive the MizerSim marker class name for a given extension — simExtensionClass","text":"extension Character string — extension (params) class name.","code":""},{"path":"https://sizespectrum.org/mizer/reference/simExtensionClass.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Derive the MizerSim marker class name for a given extension — simExtensionClass","text":"character string formed appending \"Sim\" extension.","code":""},{"path":"https://sizespectrum.org/mizer/reference/species_params.html","id":null,"dir":"Reference","previous_headings":"","what":"Species parameters — species_params","title":"Species parameters — species_params","text":"functions allow get set species-specific parameters stored MizerParams object.","code":""},{"path":"https://sizespectrum.org/mizer/reference/species_params.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Species parameters — species_params","text":"","code":"species_params(params)  species_params(params) <- value  given_species_params(params)  given_species_params(params) <- value  calculated_species_params(params)"},{"path":"https://sizespectrum.org/mizer/reference/species_params.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Species parameters — species_params","text":"params MizerParams object value data frame species parameters","code":""},{"path":"https://sizespectrum.org/mizer/reference/species_params.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Species parameters — species_params","text":"species_params(): Data frame containing species parameters currently stored model. species_params<-(): Updates full species parameter table validating validSpeciesParams() recalculating model parameters setParams(). given_species_params(): Data frame containing species parameter values supplied explicitly user. given_species_params<-(): Updates explicitly supplied species parameters validating validGivenSpeciesParams() recalculating full species parameter table dependent model quantities. calculated_species_params(): Data frame containing species parameter entries explicit user input. Columns consist entirely NA values dropped.","code":""},{"path":"https://sizespectrum.org/mizer/reference/species_params.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Species parameters — species_params","text":"lot species parameters list , sensible default values. required columns species species name w_max maximum size. However information values parameters provide . Mizer distinguishes species parameters given explicitly species parameters calculated mizer set default values. can retrieve given species parameters given_species_params() calculated ones calculated_species_params(). get species_params species_params(). change given species parameters given_species_params<-() trigger re-calculation calculated species parameters, necessary. However change species parameters species_params<-() recalculation take place furthermore values overwritten future recalculation triggered call given_species_params<-() . use cases want use given_species_params<-(). species parameters used set size-dependent parameters used mizer model: gamma q used set search volume, see setSearchVolume(). h n used set maximum intake rate, see setMaxIntakeRate(). k, ks p used set activity basic metabolic rate, see setMetabolicRate(). z0, z_ext d used set external mortality rate, see setExtMort(). E_ext n used set external encounter rate, see setExtEncounter(). D_ext n used set external diffusion rate, see setExtDiffusion(). w_mat, w_mat25, w_repro_max m used set allocation reproduction, see setReproduction(). pred_kernel_type specifies shape predation kernel. default \"lognormal\", options see \"Setting predation kernel\" section help setPredKernel(). beta sigma parameters lognormal predation kernel, see lognormal_pred_kernel(). parameters using predation kernel functions. change one species parameters using given_species_params<-() species_params<-(), new value used update corresponding size-dependent rates automatically, unless set size-dependent rates manually, case corresponding species parameters ignored. species parameters used directly model rather used setting size-dependent parameters: alpha assimilation efficiency, proportion consumed biomass can used growth, metabolism reproduction, see help getEReproAndGrowth(). w_min egg size. interaction_resource sets interaction strength resource, see \"Predation encounter\" section help getEncounter(). erepro reproductive efficiency, proportion energy invested reproduction converted egg biomass, see getRDI(). R_max parameter Beverton-Holt density dependence added reproduction, see setBevertonHolt(). parameters use density dependence functions, see \"Density dependence\" section help setReproduction(). Two parameters used functions need convert weight length: b parameters allometric weight-length relationship \\(w = l ^ b\\). supplied b parameters, can replace weight parameters like w_max, w_mat, w_mat25, w_repro_max w_min corresponding length parameters l_max, l_mat, l_mat25, l_repro_max l_min. parameters used calculate default values parameters : f0 feeding level used get default value coefficient search volume gamma, see get_gamma_default(). fc critical feeding level species can maintain . used get default value coefficient ks metabolic rate, see get_ks_default(). age_mat age maturity used get default value coefficient h maximum intake rate, see get_h_default(). Changing parameters species_params<-() updates stored species parameter table triggers recalculation via setParams(). However affect model behaviour corresponding downstream parameters recalculated rather kept explicitly supplied values. typical workflows quantities therefore changed via given_species_params<-(). past, mizer also used von Bertalanffy parameters k_vb, w_inf t0 determine default h. unreliable therefore now deprecated. species parameters used tuning model observations: biomass_observed biomass_cutoff allow specify species total observed biomass cutoff size. used calibrateBiomass() matchBiomasses(). yield_observed allows specify species total annual fisheries yield. used calibrateYield() matchYields(). Finally two species parameters control way species represented plots: linecolour specifies colour can valid R colour value. linetype specifies line type (\"solid\", \"dashed\", \"dotted\", \"dotdash\", \"longdash\", \"twodash\" \"blank\") species-specific information related species fished specified gear parameter data frame, see gear_params(). However case species caught single gear, information can also optionally provided species parameters newMultispeciesParams() transfer gear_params data frame. However changing parameters later species parameter data frames effect. allowed include additional columns species parameter data frames. simply ignored mizer stored MizerParams object, case code makes use .","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/steady.html","id":null,"dir":"Reference","previous_headings":"","what":"Set initial values to a steady state for the model — steady","title":"Set initial values to a steady state for the model — steady","text":"steady state found running dynamics keeping reproduction, resource components constant size spectra longer change much (time t_max reached, earlier).","code":""},{"path":"https://sizespectrum.org/mizer/reference/steady.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Set initial values to a steady state for the model — steady","text":"","code":"steady(   params,   t_max = 100,   t_per = 1.5,   dt = 0.1,   tol = 0.1 * dt,   return_sim = FALSE,   preserve = c(\"reproduction_level\", \"erepro\", \"R_max\"),   progress_bar = TRUE,   info_level = 3 )"},{"path":"https://sizespectrum.org/mizer/reference/steady.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Set initial values to a steady state for the model — steady","text":"params MizerParams object t_max maximum number years run simulation. Default 100. t_per simulation broken shorter runs t_per years, check convergence. Default value 1.5. chosen odd multiple timestep dt order able detect period 2 cycles. dt time step use project(). tol simulation stops relative change egg production RDI t_per years less tol every species. return_sim TRUE, function returns MizerSim object holding result simulation run, saved intervals t_per. FALSE (default) function returns MizerParams object \"initial\" slots set steady state. preserve Specifies whether reproduction_level preserved (default) maximum reproduction rate R_max reproductive efficiency erepro. See setBevertonHolt() explanation reproduction_level. progress_bar shiny progress object implement progress bar shiny app. Default FALSE. info_level Controls amount information messages shown. Higher levels lead messages.","code":""},{"path":"https://sizespectrum.org/mizer/reference/steady.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Set initial values to a steady state for the model — steady","text":"return_sim = FALSE, MizerParams object initial state replaced steady state. return_sim = TRUE, MizerSim object containing intermediate states saved every t_per years.","code":""},{"path":"https://sizespectrum.org/mizer/reference/steady.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Set initial values to a steady state for the model — steady","text":"model use Beverton-Holt reproduction reproduction parameters set values give level reproduction observed steady state. preserve argument can used specify reproduction parameters preserved.","code":""},{"path":"https://sizespectrum.org/mizer/reference/steady.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Set initial values to a steady state for the model — steady","text":"","code":"# \\donttest{ params <- newTraitParams() species_params(params)$gamma[5] <- 3000 params <- steady(params) #> Convergence was achieved in 12 years. plotSpectra(params)  # }"},{"path":"https://sizespectrum.org/mizer/reference/steadySingleSpecies.html","id":null,"dir":"Reference","previous_headings":"","what":"Set initial abundances to solution of steady-state equation with current rates — steadySingleSpecies","title":"Set initial abundances to solution of steady-state equation with current rates — steadySingleSpecies","text":"first calculates growth death rates arise current initial abundances. solves steady-state equation growth death rates current abundance smallest size. sets initial abundances selected species solution.","code":""},{"path":"https://sizespectrum.org/mizer/reference/steadySingleSpecies.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Set initial abundances to solution of steady-state equation with current rates — steadySingleSpecies","text":"","code":"steadySingleSpecies(   params,   species = NULL,   keep = c(\"egg\", \"biomass\", \"number\") )"},{"path":"https://sizespectrum.org/mizer/reference/steadySingleSpecies.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Set initial abundances to solution of steady-state equation with current rates — steadySingleSpecies","text":"params MizerParams object species species selected. Optional. default target species selected. vector species names, numeric vector species indices, logical vector indicating species whether selected (TRUE) . keep string determining quantity kept constant. choices \"egg\" keeps egg density constant, \"biomass\" keeps total biomass species constant \"number\" keeps total number individuals constant.","code":""},{"path":"https://sizespectrum.org/mizer/reference/steadySingleSpecies.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Set initial abundances to solution of steady-state equation with current rates — steadySingleSpecies","text":"MizerParams object initial abundances selected species changed single-species steady state abundances.","code":""},{"path":"https://sizespectrum.org/mizer/reference/steadySingleSpecies.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Set initial abundances to solution of steady-state equation with current rates — steadySingleSpecies","text":"function changes initial abundances. adjust reproduction parameters parameters. Therefore result applying function course steady state, changing abundances selected species growth, death reproduction rates changed. keep argument supplied, solution selected species rescaled keep specified quantity value calling function.","code":""},{"path":"https://sizespectrum.org/mizer/reference/summary.MizerParams.html","id":null,"dir":"Reference","previous_headings":"","what":"Summarize MizerParams object — summary.MizerParams","title":"Summarize MizerParams object — summary.MizerParams","text":"Outputs general summary structure content object","code":""},{"path":"https://sizespectrum.org/mizer/reference/summary.MizerParams.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Summarize MizerParams object — summary.MizerParams","text":"","code":"# S3 method for class 'MizerParams' summary(object, ...)"},{"path":"https://sizespectrum.org/mizer/reference/summary.MizerParams.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Summarize MizerParams object — summary.MizerParams","text":"object MizerParams object. ... arguments (currently used).","code":""},{"path":"https://sizespectrum.org/mizer/reference/summary.MizerParams.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Summarize MizerParams object — summary.MizerParams","text":"MizerParams object, invisibly","code":""},{"path":"https://sizespectrum.org/mizer/reference/summary.MizerParams.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Summarize MizerParams object — summary.MizerParams","text":"","code":"summary(NS_params) #> An object of class \"MizerParams\"  #> mizer version: 2.5.4.9123 #> Created: 2021-09-03 20:29:38 #> Modified: 2026-04-12 11:31:45 #> Consumer size spectrum: #> \tminimum size:\t0.001 #> \tmaximum size:\t39851.3 #> \tno. size bins:\t100 #> Resource size spectrum: #> \tminimum size:\t2.12182e-13 #> \tmaximum size:\t9.82091 #> \tno. size bins:\t179\t(226 size bins in total) #> Species details: #>    species   w_max w_mat w_min  f0   beta sigma #> 1    Sprat    33.0    13 0.001 0.6  51076   0.8 #> 2  Sandeel    36.0     4 0.001 0.6 398849   1.9 #> 3   N.pout   100.0    23 0.001 0.6     22   1.5 #> 4  Herring   334.0    99 0.001 0.6 280540   3.2 #> 5      Dab   324.0    21 0.001 0.6    191   1.9 #> 6  Whiting  1192.0    75 0.001 0.6     22   1.5 #> 7     Sole   866.0    78 0.001 0.6    381   1.9 #> 8  Gurnard   668.0    39 0.001 0.6    283   1.8 #> 9   Plaice  2976.0   105 0.001 0.6    113   1.6 #> 10 Haddock  4316.5   165 0.001 0.6    558   2.1 #> 11     Cod 39851.3  1606 0.001 0.6     66   1.3 #> 12  Saithe 39658.6  1076 0.001 0.6     40   1.1 #>  #> Fishing gear details: #> Gear          Effort  Target species  #>  ---------------------------------- #> Industrial     0.00   Sprat, Sandeel, N.pout  #> Pelagic        1.00   Herring  #> Beam           0.50   Dab, Sole, Plaice  #> Otter          0.50   Whiting, Gurnard, Haddock, Cod, Saithe"},{"path":"https://sizespectrum.org/mizer/reference/summary.MizerSim.html","id":null,"dir":"Reference","previous_headings":"","what":"Summarize MizerSim object — summary.MizerSim","title":"Summarize MizerSim object — summary.MizerSim","text":"Outputs general summary structure content object","code":""},{"path":"https://sizespectrum.org/mizer/reference/summary.MizerSim.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Summarize MizerSim object — summary.MizerSim","text":"","code":"# S3 method for class 'MizerSim' summary(object, ...)"},{"path":"https://sizespectrum.org/mizer/reference/summary.MizerSim.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Summarize MizerSim object — summary.MizerSim","text":"object MizerSim object. ... arguments (currently used).","code":""},{"path":"https://sizespectrum.org/mizer/reference/summary.MizerSim.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Summarize MizerSim object — summary.MizerSim","text":"MizerSim object, invisibly","code":""},{"path":"https://sizespectrum.org/mizer/reference/summary.MizerSim.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Summarize MizerSim object — summary.MizerSim","text":"","code":"summary(NS_sim) #> An object of class \"MizerSim\"  #> Parameters: #> An object of class \"MizerParams\"  #> mizer version: 2.5.4.9123 #> Created: 2021-09-03 20:30:02 #> Modified: 2026-04-12 11:31:45 #> Consumer size spectrum: #> \tminimum size:\t0.001 #> \tmaximum size:\t39851.3 #> \tno. size bins:\t100 #> Resource size spectrum: #> \tminimum size:\t8.72744e-13 #> \tmaximum size:\t9.82091 #> \tno. size bins:\t171\t(218 size bins in total) #> Species details: #>    species   w_max w_mat w_min   beta sigma #> 1    Sprat    33.0    13 0.001  51076   0.8 #> 2  Sandeel    36.0     4 0.001 398849   1.9 #> 3   N.pout   100.0    23 0.001     22   1.5 #> 4  Herring   334.0    99 0.001 280540   3.2 #> 5      Dab   324.0    21 0.001    191   1.9 #> 6  Whiting  1192.0    75 0.001     22   1.5 #> 7     Sole   866.0    78 0.001    381   1.9 #> 8  Gurnard   668.0    39 0.001    283   1.8 #> 9   Plaice  2976.0   105 0.001    113   1.6 #> 10 Haddock  4316.5   165 0.001    558   2.1 #> 11     Cod 39851.3  1606 0.001     66   1.3 #> 12  Saithe 39658.6  1076 0.001     40   1.1 #>  #> Fishing gear details: #> Gear          Effort  Target species  #>  ---------------------------------- #> Sprat          0.00   Sprat  #> Sandeel        0.00   Sandeel  #> N.pout         0.00   N.pout  #> Herring        1.81   Herring  #> Dab            0.76   Dab  #> Whiting        0.63   Whiting  #> Sole           0.91   Sole  #> Gurnard        0.00   Gurnard  #> Plaice         0.76   Plaice  #> Haddock        0.56   Haddock  #> Cod            0.68   Cod  #> Saithe         0.53   Saithe  #> Simulation parameters: #> \tTime period: 1967 to 2010 #> \tOutput stored every 1 years"},{"path":"https://sizespectrum.org/mizer/reference/summary_functions.html","id":null,"dir":"Reference","previous_headings":"","what":"Description of summary functions — summary_functions","title":"Description of summary functions — summary_functions","text":"Mizer provides range functions summarise results simulation.","code":""},{"path":"https://sizespectrum.org/mizer/reference/summary_functions.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Description of summary functions — summary_functions","text":"list available summary functions given table .","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/truncated_lognormal_pred_kernel.html","id":null,"dir":"Reference","previous_headings":"","what":"Truncated lognormal predation kernel — truncated_lognormal_pred_kernel","title":"Truncated lognormal predation kernel — truncated_lognormal_pred_kernel","text":"like lognormal_pred_kernel() imposed maximum predator/prey mass ratio","code":""},{"path":"https://sizespectrum.org/mizer/reference/truncated_lognormal_pred_kernel.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Truncated lognormal predation kernel — truncated_lognormal_pred_kernel","text":"","code":"truncated_lognormal_pred_kernel(ppmr, beta, sigma)"},{"path":"https://sizespectrum.org/mizer/reference/truncated_lognormal_pred_kernel.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Truncated lognormal predation kernel — truncated_lognormal_pred_kernel","text":"ppmr vector predator/prey size ratios beta preferred predator/prey size ratio sigma width parameter log-normal kernel","code":""},{"path":"https://sizespectrum.org/mizer/reference/truncated_lognormal_pred_kernel.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Truncated lognormal predation kernel — truncated_lognormal_pred_kernel","text":"vector giving value predation kernel predator/prey mass ratios ppmr argument.","code":""},{"path":"https://sizespectrum.org/mizer/reference/truncated_lognormal_pred_kernel.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Truncated lognormal predation kernel — truncated_lognormal_pred_kernel","text":"Writing predator mass \\(w\\) prey mass \\(w_p\\), feeding kernel given $$\\phi_i(w, w_p) = \\exp \\left[ \\frac{-(\\ln(w / w_p / \\beta_i))^2}{2\\sigma_i^2} \\right] $$ \\(w/w_p\\) 1 \\(\\beta_i\\exp(3\\sigma_i)\\) zero otherwise. \\(\\beta_i\\) preferred predator-prey mass ratio \\(\\sigma_i\\) determines width kernel. two parameters need given species parameter dataframe columns beta sigma. function called setPredKernel() set predation kernel slots MizerParams object.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/truncated_lognormal_pred_kernel.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Truncated lognormal predation kernel — truncated_lognormal_pred_kernel","text":"","code":"params <- NS_params species_params(params)$pred_kernel_type <- \"truncated_lognormal\" plot(w_full(params), getPredKernel(params)[\"Cod\", 10, ], type=\"l\", log=\"x\")"},{"path":"https://sizespectrum.org/mizer/reference/upgradeParams.html","id":null,"dir":"Reference","previous_headings":"","what":"Upgrade MizerParams object from earlier mizer versions — upgradeParams","title":"Upgrade MizerParams object from earlier mizer versions — upgradeParams","text":"function called validParams(). never need call directly.","code":""},{"path":"https://sizespectrum.org/mizer/reference/upgradeParams.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Upgrade MizerParams object from earlier mizer versions — upgradeParams","text":"","code":"upgradeParams(params)"},{"path":"https://sizespectrum.org/mizer/reference/upgradeParams.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Upgrade MizerParams object from earlier mizer versions — upgradeParams","text":"params old MizerParams object upgraded","code":""},{"path":"https://sizespectrum.org/mizer/reference/upgradeParams.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Upgrade MizerParams object from earlier mizer versions — upgradeParams","text":"upgraded MizerParams object","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/upgradeSim.html","id":null,"dir":"Reference","previous_headings":"","what":"Upgrade MizerSim object from earlier mizer versions — upgradeSim","title":"Upgrade MizerSim object from earlier mizer versions — upgradeSim","text":"Upgrade MizerSim object earlier mizer versions","code":""},{"path":"https://sizespectrum.org/mizer/reference/upgradeSim.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Upgrade MizerSim object from earlier mizer versions — upgradeSim","text":"","code":"upgradeSim(sim)"},{"path":"https://sizespectrum.org/mizer/reference/upgradeSim.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Upgrade MizerSim object from earlier mizer versions — upgradeSim","text":"sim old MizerSim object upgraded","code":""},{"path":"https://sizespectrum.org/mizer/reference/upgradeSim.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Upgrade MizerSim object from earlier mizer versions — upgradeSim","text":"upgraded MizerSim object","code":""},{"path":"https://sizespectrum.org/mizer/reference/use_predation_diffusion.html","id":null,"dir":"Reference","previous_headings":"","what":"Get or set the use_predation_diffusion flag — use_predation_diffusion","title":"Get or set the use_predation_diffusion flag — use_predation_diffusion","text":"Controls whether predation-induced diffusion included calculating rates mizerDiffusion(). FALSE (default), predation-driven diffusion term omitted, preserving behaviour previous mizer versions. Set TRUE enable diffusion term jump-growth equation.","code":""},{"path":"https://sizespectrum.org/mizer/reference/use_predation_diffusion.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get or set the use_predation_diffusion flag — use_predation_diffusion","text":"","code":"use_predation_diffusion(params)  use_predation_diffusion(params) <- value"},{"path":"https://sizespectrum.org/mizer/reference/use_predation_diffusion.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get or set the use_predation_diffusion flag — use_predation_diffusion","text":"params MizerParams object. value single logical value (TRUE FALSE).","code":""},{"path":"https://sizespectrum.org/mizer/reference/use_predation_diffusion.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get or set the use_predation_diffusion flag — use_predation_diffusion","text":"use_predation_diffusion(): single logical value. use_predation_diffusion<-: MizerParams object use_predation_diffusion flag updated.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/usesExtensionDispatch.html","id":null,"dir":"Reference","previous_headings":"","what":"Test whether a mizer object uses extension S4 dispatch — usesExtensionDispatch","title":"Test whether a mizer object uses extension S4 dispatch — usesExtensionDispatch","text":"Test whether mizer object uses extension S4 dispatch","code":""},{"path":"https://sizespectrum.org/mizer/reference/usesExtensionDispatch.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Test whether a mizer object uses extension S4 dispatch — usesExtensionDispatch","text":"","code":"usesExtensionDispatch(object)"},{"path":"https://sizespectrum.org/mizer/reference/usesExtensionDispatch.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Test whether a mizer object uses extension S4 dispatch — usesExtensionDispatch","text":"object MizerParams MizerSim object.","code":""},{"path":"https://sizespectrum.org/mizer/reference/usesExtensionDispatch.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Test whether a mizer object uses extension S4 dispatch — usesExtensionDispatch","text":"TRUE object's primary class plain base class.","code":""},{"path":"https://sizespectrum.org/mizer/reference/validGearParams.html","id":null,"dir":"Reference","previous_headings":"","what":"Check validity of gear parameters and set defaults — validGearParams","title":"Check validity of gear parameters and set defaults — validGearParams","text":"function returns valid gear parameter data frame can used setFishing() gives error message.","code":""},{"path":"https://sizespectrum.org/mizer/reference/validGearParams.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Check validity of gear parameters and set defaults — validGearParams","text":"","code":"validGearParams(gear_params, species_params)"},{"path":"https://sizespectrum.org/mizer/reference/validGearParams.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Check validity of gear parameters and set defaults — validGearParams","text":"gear_params Gear parameter data frame species_params Species parameter data frame","code":""},{"path":"https://sizespectrum.org/mizer/reference/validGearParams.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Check validity of gear parameters and set defaults — validGearParams","text":"valid gear parameter data frame","code":""},{"path":"https://sizespectrum.org/mizer/reference/validGearParams.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Check validity of gear parameters and set defaults — validGearParams","text":"gear_params data frame allowed zero rows, rows, following requirements apply: must columns species gear species - gear pair allowed appear . species appears must also appear species_params data frame. must sel_func column. selectivity function supplied, set \"knife_edge\". must catchability column. catchability supplied, set 1. parameters required selectivity functions must provided. gear_params empty, function tries find necessary information species_params data frame. restricts species fished one gear. Defaults used information can found species_params dataframe, follows: gear column NA new gear named species introduced. sel_func column NA knife_edge used. catchability column NA set 1. selectivity function knife_edge knife_edge_size provided, set w_mat. row names returned data frame form \"species, gear\". gear_params NULL gear information species_params, gear called knife_edge_gear set knife_edge selectivity species knive_edge_size equal w_mat. Catchability set 0.3 species.","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/validParams.html","id":null,"dir":"Reference","previous_headings":"","what":"Validate MizerParams object and upgrade if necessary — validParams","title":"Validate MizerParams object and upgrade if necessary — validParams","text":"Checks given MizerParams object valid upgrades necessary.","code":""},{"path":"https://sizespectrum.org/mizer/reference/validParams.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Validate MizerParams object and upgrade if necessary — validParams","text":"","code":"validParams(params, info_level = 3)"},{"path":"https://sizespectrum.org/mizer/reference/validParams.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Validate MizerParams object and upgrade if necessary — validParams","text":"params MizerParams object validate info_level Controls amount information messages warnings shown. Higher levels lead messages.","code":""},{"path":"https://sizespectrum.org/mizer/reference/validParams.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Validate MizerParams object and upgrade if necessary — validParams","text":"valid MizerParams object","code":""},{"path":"https://sizespectrum.org/mizer/reference/validParams.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Validate MizerParams object and upgrade if necessary — validParams","text":"possible render MizerParams object invalid manually changing slots. function checks object valid attempts upgrade valid object gives error message. object valid returned unchanged. function reports error rate arrays contain non-finite numbers (except maximum intake rate allowed infinite). Occasionally, development new features mizer, MizerParams object gains extra slots. MizerParams objects created older versions mizer longer valid new version missing slots. need upgrade function. adds missing slots fills default values. object version 0.4 onwards can upgraded. old MizerSim objects similarly updated validSim(). function uses newMultispeciesParams() create new MizerParams object using parameters extracted old MizerParams object.","code":""},{"path":"https://sizespectrum.org/mizer/reference/validParams.html","id":"backwards-compatibility","dir":"Reference","previous_headings":"","what":"Backwards compatibility","title":"Validate MizerParams object and upgrade if necessary — validParams","text":"internal numerics mizer changed time, may small discrepancies results obtained upgraded object new version original object old version. important reproduce exact results install version mizer obtained results. can   replace \"v0.2\" version number require. can see list available releases https://github.com/sizespectrum/mizer/tags. serialised version old object, example created via saveRDS(), get error trying read readRDS() unfortunately need install old version mizer first read params object workspace, switch current version call validParams(). can save new version saveParams().","code":"remotes::install_github(\"sizespectrum/mizer\", ref = \"v0.2\")"},{"path":"https://sizespectrum.org/mizer/reference/validSim.html","id":null,"dir":"Reference","previous_headings":"","what":"Validate MizerSim object and upgrade if necessary — validSim","title":"Validate MizerSim object and upgrade if necessary — validSim","text":"Checks given MizerSim object valid upgrades necessary. also validates embedded MizerParams-class() object validParams(). entries consumer abundance array sim@n non-finite, warning issued simulation truncated last time step sim@n still finite.","code":""},{"path":"https://sizespectrum.org/mizer/reference/validSim.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Validate MizerSim object and upgrade if necessary — validSim","text":"","code":"validSim(sim)"},{"path":"https://sizespectrum.org/mizer/reference/validSim.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Validate MizerSim object and upgrade if necessary — validSim","text":"sim MizerSim object validate","code":""},{"path":"https://sizespectrum.org/mizer/reference/validSim.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Validate MizerSim object and upgrade if necessary — validSim","text":"valid MizerSim object","code":""},{"path":"https://sizespectrum.org/mizer/reference/validSim.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Validate MizerSim object and upgrade if necessary — validSim","text":"Occasionally, development new features mizer, MizerSim class MizerParams class gains extra slots. MizerSim objects created older versions mizer longer valid new version missing slots. need upgrade function. function adds missing slots fills default values. also calls validParams() upgrade MizerParams object inside MizerSim object. object version 0.4 onwards can upgraded.","code":""},{"path":"https://sizespectrum.org/mizer/reference/validSim.html","id":"backwards-compatibility","dir":"Reference","previous_headings":"","what":"Backwards compatibility","title":"Validate MizerSim object and upgrade if necessary — validSim","text":"internal numerics mizer changed time, may small discrepancies results obtained upgraded object new version original object old version. important reproduce exact results install version mizer obtained results. can   replace \"v0.2\" version number require. can see list available releases https://github.com/sizespectrum/mizer/tags. serialised version old object, example created via saveRDS(), get error trying read readRDS() unfortunately need install old version mizer first read params object workspace, switch current version call validParams(). can save new version saveParams().","code":"remotes::install_github(\"sizespectrum/mizer\", ref = \"v0.2\")"},{"path":"https://sizespectrum.org/mizer/reference/validSpeciesParams.html","id":null,"dir":"Reference","previous_headings":"","what":"Validate species parameter data frame — validSpeciesParams","title":"Validate species parameter data frame — validSpeciesParams","text":"functions check validity species parameter frame , necessary, make corrections. validGivenSpeciesParams() checks corrects given species parameters add default values species parameters provided. validSpeciesParams() first calls validGivenSpeciesParams() goes adding default values species parameters provided.","code":""},{"path":"https://sizespectrum.org/mizer/reference/validSpeciesParams.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Validate species parameter data frame — validSpeciesParams","text":"","code":"validSpeciesParams(species_params)  validGivenSpeciesParams(species_params)"},{"path":"https://sizespectrum.org/mizer/reference/validSpeciesParams.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Validate species parameter data frame — validSpeciesParams","text":"species_params user-supplied species parameter data frame","code":""},{"path":"https://sizespectrum.org/mizer/reference/validSpeciesParams.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Validate species parameter data frame — validSpeciesParams","text":"validSpeciesParams(): valid species parameter data frame additional parameters default values. validGivenSpeciesParams(): valid species parameter data frame without additional parameters.","code":""},{"path":"https://sizespectrum.org/mizer/reference/validSpeciesParams.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Validate species parameter data frame — validSpeciesParams","text":"validGivenSpeciesParams() checks validity given species parameters. throws error species column exist contains duplicates maximum size specified species weight-based parameter missing corresponding length-based parameter given, well b parameters length-weight conversion, weight-based parameters added. length weight given, weight used info_about_default condition signalled two inconsistent. w_inf column given w_max value w_inf used. backwards compatibility. note von Bertalanffy parameter w_inf maximum size largest individual, asymptotic size average individual. inconsistencies size parameters resolved follows: w_mat smaller w_max set w_max / 4. w_mat25 smaller w_mat set NA. w_min smaller w_mat set 0.001 w_mat /10, whichever smaller. w_repro_max larger w_mat set 4 * w_mat. row names returned data frame species names. species_params provided tibble converted back ordinary data frame. function tests typical misspellings parameter names, like wrong capitalisation missing underscores issues warning detects name. validSpeciesParams() first calls validGivenSpeciesParams() goes adding default values species parameters provided. function sets default values following species parameters missing NA: w_repro_max set w_max w_mat set w_max/4 w_min set 0.001 alpha set 0.6 interaction_resource set 1 n set 3/4 p set n z_ext set 0 d set n - 1 E_ext set 0 D_ext set 0 Note species parameters returned functions guaranteed produce viable model. checks parameters performed individual rate-setting functions (see setParams() list functions).","code":""},{"path":[]},{"path":"https://sizespectrum.org/mizer/reference/valid_gears_arg.html","id":null,"dir":"Reference","previous_headings":"","what":"Helper function to assure validity of gears argument — valid_gears_arg","title":"Helper function to assure validity of gears argument — valid_gears_arg","text":"gears argument contains invalid gears, ignored warning issued.","code":""},{"path":"https://sizespectrum.org/mizer/reference/valid_gears_arg.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Helper function to assure validity of gears argument — valid_gears_arg","text":"","code":"valid_gears_arg(object, gears = NULL, error_on_empty = FALSE)"},{"path":"https://sizespectrum.org/mizer/reference/valid_gears_arg.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Helper function to assure validity of gears argument — valid_gears_arg","text":"object MizerSim MizerParams object gears selected. gears gears selected. Optional. default gears selected. vector gear names. error_on_empty Whether throw error zero valid gears. Default FALSE.","code":""},{"path":"https://sizespectrum.org/mizer/reference/valid_gears_arg.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Helper function to assure validity of gears argument — valid_gears_arg","text":"vector gear names order supplied gears, invalid names removed. gears NULL, gears returned order stored model.","code":""},{"path":"https://sizespectrum.org/mizer/reference/valid_species_arg.html","id":null,"dir":"Reference","previous_headings":"","what":"Helper function to assure validity of species argument — valid_species_arg","title":"Helper function to assure validity of species argument — valid_species_arg","text":"species argument contains invalid species, ignored warning issued.","code":""},{"path":"https://sizespectrum.org/mizer/reference/valid_species_arg.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Helper function to assure validity of species argument — valid_species_arg","text":"","code":"valid_species_arg(   object,   species = NULL,   return.logical = FALSE,   error_on_empty = FALSE )"},{"path":"https://sizespectrum.org/mizer/reference/valid_species_arg.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Helper function to assure validity of species argument — valid_species_arg","text":"object MizerSim MizerParams object species selected. species species selected. Optional. default target species selected. vector species names, numeric vector species indices, logical vector indicating species whether selected (TRUE) . return.logical Whether return value logical vector. Default FALSE. error_on_empty Whether throw error zero valid species. Default FALSE.","code":""},{"path":"https://sizespectrum.org/mizer/reference/valid_species_arg.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Helper function to assure validity of species argument — valid_species_arg","text":"vector species names, order specified 'species' argument. 'return.logical = TRUE' logical vector returned instead, length equal number species, TRUE entry selected species.","code":""},{"path":"https://sizespectrum.org/mizer/reference/validateExtensionsVector.html","id":null,"dir":"Reference","previous_headings":"","what":"Validate and normalise an extensions named character vector — validateExtensionsVector","title":"Validate and normalise an extensions named character vector — validateExtensionsVector","text":"Checks extensions named character vector unique, syntactically valid names, normalises NULL character().","code":""},{"path":"https://sizespectrum.org/mizer/reference/validateExtensionsVector.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Validate and normalise an extensions named character vector — validateExtensionsVector","text":"","code":"validateExtensionsVector(extensions)"},{"path":"https://sizespectrum.org/mizer/reference/validateExtensionsVector.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Validate and normalise an extensions named character vector — validateExtensionsVector","text":"extensions named character vector, NULL.","code":""},{"path":"https://sizespectrum.org/mizer/reference/validateExtensionsVector.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Validate and normalise an extensions named character vector — validateExtensionsVector","text":"validated named character vector (possibly length-zero).","code":""},{"path":"https://sizespectrum.org/mizer/reference/w.html","id":null,"dir":"Reference","previous_headings":"","what":"Size bins — w","title":"Size bins — w","text":"Functions fetch information size bins used model described params.","code":""},{"path":"https://sizespectrum.org/mizer/reference/w.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Size bins — w","text":"","code":"w(params)  w_full(params)  dw(params)  dw_full(params)"},{"path":"https://sizespectrum.org/mizer/reference/w.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Size bins — w","text":"params MizerParams object","code":""},{"path":"https://sizespectrum.org/mizer/reference/w.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Size bins — w","text":"w() returns vector sizes start size bin consumer spectrum. w_full() returns vector sizes start size bin resource spectrum, typically starts smaller sizes consumer spectrum. dw() returns vector widths size bins consumer spectrum. dw_full() returns vector widths size bins resource spectrum.","code":""},{"path":"https://sizespectrum.org/mizer/reference/w.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Size bins — w","text":"represent continuous size spectrum computer, size variable discretized vector w discrete weights, providing grid sizes spanning range smallest egg size largest maximum size. grid values divide full size range finite number size bins. size bins chosen small enough avoid discretisation errors becoming big. can fetch vector w() vector bin widths dw(). weight grid set logarithmically spaced, w[j]=w[1]*10^(j*dx) fixed dx. means bin widths increase size: dw[j] = w[j] * (10^dx - 1). grid set automatically creating MizerParams object. resource spectrum spans larger range sizes, sizes discretized different vector weights w_full. usually starts much smaller size w, also runs largest size, last entries w_full coincide entries w. logarithmic spacing w_full w, w_full[j]=w_full[1]*10^(j*dx). function w_full() gives vector sizes dw_full() gives vector bin widths. need vectors converting number densities numbers. example size spectrum species stored vector values represent density fish size bin rather number fish. number fish size bin w[j] w[j+1]=w[j]+dw[j] obtained N[j]*dw[j]. vector w can used example convert number individuals size bin biomass size bin. biomass jth bin biomass[j] = N[j] * dw[j] * w[j]. course calculations discrete sizes size bins giving approximations continuous values, approximations get better smaller size bins , .e., size bins used. However using size bins also slows calculations, trade-. functions setting MizerParams objects allow choose number size bins no_w.","code":""},{"path":"https://sizespectrum.org/mizer/reference/w.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Size bins — w","text":"","code":"str(w(NS_params)) #>  num [1:100] 0.001 0.00119 0.00142 0.0017 0.00203 ... str(dw(NS_params)) #>  num [1:100] 0.000193 0.000231 0.000275 0.000329 0.000392 ... str(w_full(NS_params)) #>  num [1:226] 2.12e-13 2.53e-13 3.02e-13 3.61e-13 4.30e-13 ... str(dw_full(NS_params)) #>  num [1:226] 4.10e-14 4.90e-14 5.84e-14 6.97e-14 8.32e-14 ...  # Calculating the biomass of Cod in each bin in the North Sea model biomass <- initialN(NS_params)[\"Cod\", ] * dw(NS_params) * w(NS_params) # Summing to get total biomass sum(biomass) #> [1] 601591842546"},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"development-version-2549102","dir":"Changelog","previous_headings":"","what":"Development version 2.5.4.9102","title":"Development version 2.5.4.9102","text":"setResource() now allows resource_level = 1. balancing otherwise divide zero resource capacity equals current resource abundance positive consumption, capacity increased slightly warning instead failing early. Bug fix: getFMort() MizerSim object silently dropping component names n_other passing rate function dependencies (getEGrowth(), getPredMort()). caused failures whenever rate functions accessed n_other component name (e.g. n_other[[\"resource\"]]). internal implementation also refactored use plyr::aaply pattern getFeedingLevel() getPredMort(), keeping three methods consistent. Added first-stage infrastructure composable extension chains: registerExtensions(), getRegisteredExtensions(), coerceToExtensionClass(). Extension classes marker classes S3 dispatch, MizerSim deriving extension chain sim@params@extensions. saveParams() now serialises extension objects plain MizerParams objects preserving extension chain, readParams() restores appropriate extension class. New saveSim() readSim() helpers provide lifecycle MizerSim objects. Added projectRates() projectEncounter() first S3 hooks extension-chain rate pipeline. Extension-aware projections dispatch projectRates(), models without extensions keep using pre-resolved mizerRates() pipeline directly. Added S3 projection hooks remaining standard mizer rate functions. Extension-aware projections now call projectFeedingLevel(), projectEReproAndGrowth(), projectERepro(), projectEGrowth(), projectDiffusion(), projectPredRate(), projectPredMort(), projectFMort(), projectMort(), projectRDI() projectRDD() projectResourceMort() directly. Extensions provide marker class now remain metadata-trigger S3 projection-rate dispatch path. New scaleRates(params, factor) function rescales rates model given factor. equivalent time rescaling: speeds slows dynamics without affecting steady state. rate slots (search_vol, intake_max, metab, mu_b, ext_encounter, ext_diffusion, catchability, rr_pp) associated species parameters (gamma, h, ks, k, z0, z_ext, z0pre, E_ext, D_ext, R_max) rescaled consistently. MizerParams gains use_predation_diffusion slot (logical, default FALSE). FALSE (default), [mizerDiffusion()] omits predation-induced diffusion term, preserving behaviour previous mizer versions. Set TRUE enable jump-growth diffusion term. diffusion() / diffusion<-() / setDiffusion() renamed ext_diffusion() / ext_diffusion<-() / setExtDiffusion() follow naming convention setExtMort() setExtEncounter(). MizerSim accessors defined R/MizerSim-class.R (validSim(), N(), NResource(), finalN(), finalNResource(), idxFinalT(), getTimes(), getEffort(), getParams()) now registered S3 generics MizerSim methods, aligning rest package dispatch model making extension-specific methods possible. setComponent() now accepts optional colour linetype arguments applies via setColours() setLinetypes() added components can styled directly plots. New “Extending mizer” vignette (vignette(\"extensions\")) documents use setRateFunction(), setComponent(), customFunction(), summarises required signatures return shapes custom rate functions, gives worked examples custom encounter function added ecosystem component. New “Cheatsheet: Analysis Plotting” vignette (vignette(\"cheatsheet\")) provides quick reference functions access simulation arrays, compute summaries, calculate indicators, create plots. Closes #176. compareParams() output now printed human-readable format, difference block separated blank lines. array slots differ, max absolute difference shown per species. slots differ comment attributes, comments displayed. Closes #205. animateSpectra() gains background argument (default TRUE) include background species animation, consistent plotSpectra(). background species shown separate grey line grouped single “Background” legend entry. setRateFunction() now validates registered function calling test inputs checking return value correct dimensions. catches mismatched custom rate functions registration time rather simulation run. Closes #167. New species parameters z_ext (default 0) d (default n - 1) add optional power-law term external mortality: mu_ext(w) = z0 + z_ext *   w^d. z_ext zero (default) behaviour unchanged. Closes #329. New species parameter E_ext (default 0) sets coefficient external encounter rate power law. setExtEncounter() now calculates default external encounter rate E_ext * w^n custom array supplied, matching pattern setMaxIntakeRate(). reset argument also added setExtEncounter() force recalculation species parameters. indicator functions getProportionOfLargeFish(), getMeanWeight(), getMeanMaxWeight(), getCommunitySlope() now also accept MizerParams object return single value (named vector getMeanMaxWeight() measure = \"\") calculated initial abundances. Closes #262. addSpecies() now accepts info_level argument (default 3) control verbosity information messages, consistent newMultispeciesParams(). Set info_level = 0 suppress messages. Closes #290. summary() MizerParams MizerSim now displays metadata @metadata slot, including title, description, authors, DOI, URL, mizer version, creation/modification timestamps (set). New ArraySpeciesBySize S3 class species x size arrays returned many mizer functions getEncounter(), getFeedingLevel(), getMaxIntakeRate(), getMetabolicRate(), getSearchVolume(), getExtMort(), getExtEncounter(), getMaturityProportion(), getReproductionProportion(), diffusion(), finalN(), initialN(), get_initial_n(). ArraySpeciesBySize object behaves like regular matrix arithmetic subsetting, carries human-readable value_name units attribute provides enhanced print(), summary(), plot(), .data.frame() methods. New ArraySpeciesByTime S3 class time x species arrays returned getBiomass(), getSSB(), getN(), getYield() called MizerSim object. Like ArraySpeciesBySize, carries value_name units attributes provides enhanced print(), summary(), plot(), .data.frame() methods. New ggplotly() methods ArraySpeciesBySize ArraySpeciesByTime convert ggplot2 output plot() interactive plotly figure via plotly::ggplotly(). plot() method ArraySpeciesBySize gains log_y, wlim, ylim arguments controlling y-axis scale axis limits. plot() method ArraySpeciesByTime gains log ylim arguments. New getTrophicLevel() function returns matrix (species × size) trophic level individuals size, accounting ontogenetic diet shifts integrating consumption-weighted average prey trophic level individual’s growth trajectory. New getTrophicLevelBySpecies() returns consumption-rate-weighted mean trophic level per species. functions accept MizerParams MizerSim objects. Closes #307. plot() summary() methods MizerParams, MizerSim, ArraySpeciesBySize objects now registered S3 methods rather S4 methods. means plot() summary() remain plain S3 generics mizer loaded, avoiding interference S4 method dispatch packages. New expandSizeGrid() function expands size grid MizerParams object new minimum /maximum size preserving existing species data. Added info_level argument projectToSteady(), steady(), setParams(), newCommunityParams(), newTraitParams(), matchBiomasses(), matchNumbers(), matchYields(). Setting info_level = 0 suppresses informational messages; info_level = 3 (default) shows messages. t_max t_save arguments project() now respected even effort array supplied. t_max provided, simulation extends beyond times effort array using last known effort values. t_save provided, controls save frequency effort values interpolated needed. allows users extend simulations without specifying dummy effort values final time period (#231). numerical scheme now supports diffusion McKendrick-von Foerster equation, allowing individual variability growth modelled. new diffusion slot MizerParams holds diffusion coefficient (species x size). Use setExtDiffusion() / ext_diffusion() / ext_diffusion<-() set retrieve . New getFlux() function calculates flux individuals entering size class, combining advective flux somatic growth diffusive flux. getRequiredRDD() now exported. calculates recruitment rate needed maintain given initial abundance, accounting growth diffusion. steadySingleSpecies() now correctly preserves steady state project(), including diffusion non-zero. Growth now forced always non-negative, preventing unphysical shrinkage. warning issued growth stops maturity size. New vignettes: cohort dynamics demonstrating effect diffusion single-species model; numerical details documenting finite-volume scheme steady-state solution; vignette using FFT predation kernel calculations. Many functions now S3 methods can called either MizerParams MizerSim object users define subclasses methods modify mizer behaviour (#330). getBiomass() now use_cutoff argument restrict biomass calculation sizes biomass_cutoff species parameter. plotBiomass() plotlyBiomass() now use_cutoff argument, passed getBiomass(). age_mat_vB() now exported. project_n() new exported function projects abundance spectrum forward time, factored project().","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"bug-fixes-2-5-4-9102","dir":"Changelog","previous_headings":"","what":"Bug fixes","title":"Development version 2.5.4.9102","text":"getMeanMaxWeight() now correctly applies species selector denominator. upgradeParams() now preserves MizerParams subclasses extra slots upgrading older objects. plotDataFrame() now correctly applies custom log-scale x breaks. get_size_range_array() longer gives error size brackets selected.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"mizer-254","dir":"Changelog","previous_headings":"","what":"mizer 2.5.4","title":"mizer 2.5.4","text":"CRAN release: 2025-11-16 New function renameGear() rename gears MizerParams object, similar renameSpecies(). addSpecies() now proceeds warning instead error species growth stops maturity (#315). matchBiomasses() matchNumbers() now provide informative error messages. plotDiet() now restricts plot size ranges meaningful biomass density (#317). wlim ylim arguments plotting functions now set actual axis limits instead just zooming (#320). legend plotlyFeedingLevel() improved critical feeding level included. species gears columns now never factors, longer need call .character() often. validParams() also calls validGearParams(). validParams() checks w_min valid species increases necessary. validSpeciesParams() now also sets default p equal n. species_params<-() given_species_params<-() now check species names match. params argument l2w() w2l() renamed species_params follow mizer’s convention params refers MizerParams object.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"bug-fixes-2-5-4","dir":"Changelog","previous_headings":"","what":"Bug fixes","title":"mizer 2.5.4","text":"animateSpectra() now uses consistent colours preserves colour identity across frames (#321). getReproductionProportion() longer returns incorrect proportions > 1 (#299) setResource() now correctly applies w_pp_cutoff parameter carrying capacity initial resource abundance changed without providing resource_capacity(#306). Predation kernels now truncated documented. given_species_params() longer makes unwanted changes species parameters. steadySingleSpecies() longer changes time_modified.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"mizer-253","dir":"Changelog","previous_headings":"","what":"mizer 2.5.3","title":"mizer 2.5.3","text":"CRAN release: 2024-10-17 patch update users changed w_max manually model get unhelpful error messages trying use model new version. General checking parameters made robust. particular validSpeciesParams() extra checks consistency species parameters validParams() checks rate arrays contain finite numeric values validSim() checks simulation results finite truncates simulation .","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"mizer-252","dir":"Changelog","previous_headings":"","what":"mizer 2.5.2","title":"mizer 2.5.2","text":"CRAN release: 2024-10-14 Fixed bug led newCommunityParams() set resource parameters differently since version 2.4.0 (#293) addSpecies() now correctly preserves species_params existing model. addSpecies() longer requires new species grow maximum size, maturity size required. Now validGivenSpeciesParams() validates given species parameters without adding defaults validSpeciesParams() validates returns completed species parameter dataframe. New species parameter w_repro_max giving size species invests 100% energy reproduction. Set w_max default. removeSpecies() now also removes species parameters set remaining species. Changing w_max now also correctly updates ft_mask (#296). compareParams() now also spells differences given species parameters. getDiet() now also includes contribution external encounter rate diet. setPredKernel() now throws error required predation kernel parameters NA. plotYieldGear() one can select subset gears new gears argument. New helper function valid_gears_arg() check gears argument functions take gears argument. Improved scaling y-axis plotGrowthCurves(). steadySingleSpecies() longer requires species grow w_max. matchGrowth() now also rescales external encounter rate. setExtEncounter() longer resets external encounter rate zero called without ext_encounter argument. function plotBiomassObservedVsModel() now plots ratio modelled observed biomass default (ratio = T), useful visually see far modelled biomass observed biomass. time_modified field now updated correctly steadySingleSpecies(), setColours() setLinetypes(). Deprecated matchYields() calibrateYield(). Improved unit tests. improvements documentation.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"mizer-251","dir":"Changelog","previous_headings":"","what":"mizer 2.5.1","title":"mizer 2.5.1","text":"CRAN release: 2024-03-08 patch release made necessary change CRAN’s requirement regarding vignettes. also includes bug fix: project() projectToSteady(..., return_sim = TRUE) now correctly returns also components MizerSim object stored n_other. #285","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"mizer-250","dir":"Changelog","previous_headings":"","what":"mizer 2.5.0","title":"mizer 2.5.0","text":"CRAN release: 2023-12-08 release introduces change requires upgrade old MizerParams MizerSim objects upgradeParams() upgradeSim().","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"external-encounter-rate-2-5-0","dir":"Changelog","previous_headings":"","what":"External encounter rate","title":"mizer 2.5.0","text":"Now model can include external encounter rate represents rate predator encounters food explicitly modelled. encounter rate set setExtEncounter() ext_encounter<-() can read getExtEncounter() ext_encounter(). similar external mortality handled.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"given-versus-calculated-species-parameters-2-5-0","dir":"Changelog","previous_headings":"","what":"Given versus calculated species parameters","title":"mizer 2.5.0","text":"can now use given_species_params() see species parameter values explicitly specified calculated_species_params() see species parameter values mizer calculated automatically set defaults. can continue use species_params() get species parameters, irrespective whether given calculated. can still set parameter values species_params<-(), can also use stronger given_species_params<-() sets values give also triggers re-calculation calculated species parameters. Using given_species_params<-() therefore usually better option.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"new-mizer-course-2-5-0","dir":"Changelog","previous_headings":"","what":"New mizer course","title":"mizer 2.5.0","text":"now three-part mizer course https://mizer.course.sizespectrum.org part consisting several tutorials, including code exercises: Part 1: Understand gain understanding size spectra dynamics exploring simple example systems hands-mizer. Part 2: Build build multi-species mizer model Celtic sea, following example. can also create model area interest. Part 3: Use explore effects changes fishing changes resource dynamics fish community fisheries yield. run model scenarios.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"other-improvements-2-5-0","dir":"Changelog","previous_headings":"","what":"Other improvements","title":"mizer 2.5.0","text":"Warnings given user gives irrelevant species parameter values. messages converted warnings signals shown frequently. Frequent warnings avoided length-based weight-based parameters given inconsistent. #277 Documentation effort argument project() improved. error message given predation kernel returns negative values everywhere zero. #283","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"bug-fixes-2-5-0","dir":"Changelog","previous_headings":"","what":"Bug fixes","title":"mizer 2.5.0","text":"coefficient h maximum intake rate given, now given default value. #282 matchGrowth() longer gives error w_inf column. #279","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"mizer-241","dir":"Changelog","previous_headings":"","what":"mizer 2.4.1","title":"mizer 2.4.1","text":"CRAN release: 2023-04-26 minor release made necessary keep mizer CRAN unit test failed macOS 13.3 version 14.3 CLT toolchain.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"mizer-240","dir":"Changelog","previous_headings":"","what":"mizer 2.4.0","title":"mizer 2.4.0","text":"CRAN release: 2022-12-23 release introduces change requires upgrade old MizerParams MizerSim objects upgradeParams() upgradeSim(). See mizer 2.4.0 blog post","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"avoid-confusion-between-maximum-size-and-von-bertalanffy-asymptotic-size-2-4-0","dir":"Changelog","previous_headings":"","what":"Avoid confusion between maximum size and von Bertalanffy asymptotic size","title":"mizer 2.4.0","text":"explanation see blog post https://blog.mizer.sizespectrum.org/posts/2022-11-30-dont-use-von-bertalanffy-growth-parameters/ species parameter specifies size also largest fish stop growing renamed w_inf w_max. parameter w_inf now reserved von Bertalanffy asymptotic size parameter. upgrade existing MizerParams object upgradeParams() w_inf column copied w_max column automatically, may want change values currently reflect maximum size species. Otherwise size distributions predicted mizer match observations.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"set-resource-abundance-rather-than-carrying-capacity-2-4-0","dir":"Changelog","previous_headings":"","what":"Set resource abundance rather than carrying capacity","title":"mizer 2.4.0","text":"resource parameters kappa lambda now used set abundance resource steady state rather carrying capacity, latter observable. tuning steady state using steady() function resource abundance now kept fixed chosen value. resource dynamics can switched later setResource() without changing steady state. stage choose either resource intrinsic growth rate resource carrying capacity determined setResource() way resource replenishes rate consumed. want keep old behaviour switch automatic balancing add balance = FALSE argument calling setResource(). can also choose semichemostat dynamics resource_semichemostat() logistic dynamics resource_logistic() can write function implementing sophisticated resource dynamics. setParams() function longer includes arguments setting resource parameters. Instead set separately setResource().","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"automatically-match-growth-rates-2-4-0","dir":"Changelog","previous_headings":"","what":"Automatically match growth rates","title":"mizer 2.4.0","text":"explained blog post https://blog.mizer.sizespectrum.org/posts/2022-11-30-dont-use-von-bertalanffy-growth-parameters/, von Bertalanffy curves fitted size--age data suitable estimating size-dependent growth rates mizer. therefore now recommended instead von Bertalanffy parameters supply age maturity age_mat column species parameter data frame. used mizer calculate default maximum intake rate parameter h supply . past, whenever changed model parameters, needed re-tune parameters keep growth rates line observations. now new function matchGrowth() automatically scales search volume, maximum consumption rate metabolic rate factor order achieve growth rate allows individuals reach maturity size maturity age keeping feeding level critical feeding level unchanged. function however preserve steady state, need also call steady() matching growth rates.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"other-improvements-2-4-0","dir":"Changelog","previous_headings":"","what":"Other improvements","title":"mizer 2.4.0","text":"New function steadySingleSpecies() balances size-spectrum dynamics ignoring multi-species effects. words, calculates steady-state size spectrum species abundance prey predators kept constant current values. plotGrowthCurves() can now superimpose scatterplot size--age data supply via new size_at_age argument. New functions calibrateNumber() matchNumbers() like calibrateBiomass() matchBiomasses() work observed numbers instead observed biomasses. New function age_mat() calculate age maturity growth rate size maturity. effort vector effort array contains NA’s, now replaced default effort value. #230 entries interaction matrix interaction_resource longer restricted less equal 1. #232 user supplies row names interaction matrix gives column names column names also used row names. #247 project() now also works called MizerSim object additional components. steady() now preserves RDD function MizerParams object rather always setting “BevertonHoltRDD”. averaging abundances time plotSpectra() setInitialValues() user can now choose geometric averaging geometric_mean = TRUE. w_mat25 species parameter longer filled automatically supplied. makes easier change w_mat without change w_mat25 time. compareParams() now also checks validity second argument. Hide printing messages chosen defaults newTraitParams(). Higher values info_level argument newMultispeciesParams() now leads messages. Giving helpful messages validSpeciesParams(). #136 New helper functions l2w() w2l() converting length-based weight-based species parameters. #258 Check assessor functions MizerSim slots called MizerSim object. Add style argument plotDataFrame() facilitate producing area plots. Add wrap_scale argument plotDataFrame() control scaling axes faceted plots. plotDiet() can now show diets several predator species faceted plot. #267 Change size linewidth aesthetic avoid warnings new version ggplot2. Better error message functions called valid species selected. #251 differences compareParams() says clearly. getReproductionLevel() works long R_max set. #252 Converted several unit tests edition 3 testthat package. Improved documentation gear_params(). Improved defaults can now implemented keeping backwards compatibility via defaults_edition(). #186 New defaults edition 2: catchability = 0.3 instead 1, initial effort = 1 instead 0. #243 defaults edition 2, get_gamma_default() ensures feeding level f0 larvae also interaction_resource equal 1. #238 Set default linecolour linetype external mortality.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"bug-fixes-2-4-0","dir":"Changelog","previous_headings":"","what":"Bug fixes","title":"mizer 2.4.0","text":"Restored line colours NS_params Comment field now preserved set_species_default(). #268 Comment w_inf longer leads error plyr::aaply(). #269 Can now set url field metadata. Correct species now listed legend plotYieldObservedVsModel() plotBiomassObservedVsModel(). #266 Standard order legend plotDiet() restored change ggplot2 package. #265 Fix handling column names interaction matrix read .csv file. #263","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"mizer-231","dir":"Changelog","previous_headings":"","what":"mizer 2.3.1","title":"mizer 2.3.1","text":"CRAN release: 2022-07-06 Resolved conflict mizerPredRate() argument t function base::t(). Assert upgradeParams() must called MizerParams object upgradeSim() MizerSim object. Errors changed warnings getRequiredRDD() renameSpecies() longer fails linecolour linetype different lengths. matchYields() now also works model single species. setInitialValues() can now average time_range. getSSB(), getBiomass(), getN(), getYieldGear() getYield() can now called MizerParams object well MizerSim object. (#200) Updated shiny app inst/shiny/selectivity_effects current mizer version.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"mizer-230","dir":"Changelog","previous_headings":"","what":"mizer 2.3.0","title":"mizer 2.3.0","text":"CRAN release: 2021-09-11","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"new-features-2-3-0","dir":"Changelog","previous_headings":"","what":"New features","title":"mizer 2.3.0","text":"New plots plotBiomassObservedVsModel() plotYieldObservedVsModel() contributed @SamikDatta., together plotly counterparts. New calibrateBiomass(), calibrateYield() set model scale agree total observed biomass total observed yield. Uses new scaleModel(). New matchBiomasses() matchYields() try adjust abundances species produce observed biomasses yields. See blog post https://bit.ly/2YqXESV . now accessor replacement functions rates. example instead params <- setReproduction(params, maturity = my_maturity) one can simply use maturity(params) <- my_maturity. documented together setter functions. #213 New setMetadata() add information MizerParams object describing model, example title, description, author list authors, url doi. particularly useful sharing models others New saveParams() saving MizerParams object file readParams() reading back . resulting files can shared others want run model. MizerParams object now registers mizer version model last saved. model working expected current version mizer, can go back older version presumably working. helps reproducibility research. MizerParams object registers time created time last modified. See getMetadata(). helps keep track different versions model. steady() now preserve argument possible values erepro, R_max reproduction_level specify quantity preserve. means one can continue use steady() also one started tune density dependence reproduction. #208 website now using nice new mizer logo designed Kira Askaroff (www.kiraaskaroff.com) new mizer extension package mizerMR allowing include multiple resource spectra model.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"small-improvements-2-3-0","dir":"Changelog","previous_headings":"","what":"Small improvements","title":"mizer 2.3.0","text":"rownames gear_params now set “species, gear”, one can access individual entries example gear_params(NS_params)[\"Cod, Otter\", \"catchability\"]. #212 z0 argument setExtMort() deprecated favour ext_mort order avoid confusion species parameter z0. setColours() setLinetypes() now issue warnings invalid values given ignores NAs. experimental comment arguments setter functions removed. #214 setter functions new reset argument , set TRUE recalculate rates species_, gear_ resource_params even custom values set. #214 species argument various functions, checked valid_species_arg(), now throw error even valid species included. warning issued. means example plotSpectra(NS_params, species = list(), total = TRUE) now allowed. getComponent() mizer extension mechanism now returns NULL asked non-existent component instead giving error. gives easy way check existence component. example interaction matrix inter North Sea model now alternative name NS_interaction, old name deprecated. Species added addSpecies() now default given reproduction level 1/4 instead 0, low densities introduced otherwise enough density dependence stabilise . size range arguments min_w, max_w, min_l max_l used summary functions processed get_size_range_array() accept vector values setting different limits different species. resource dynamics function now also passed resource_rate resource_capacity arguments, makes easier use extension packages. Species names now always coerced strings, even user gives numbers. #202 new system informing user defaults set newMultispeciesParams(), #199 Many improvements documentation. Many small improvements code quality testing. Better social media cards, especially twitter. mizer can run binder","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"bug-fixes-2-3-0","dir":"Changelog","previous_headings":"","what":"Bug fixes","title":"mizer 2.3.0","text":"Changing linecolour linetype species parameters now actually changes linecolours linetypes intended. Growth curves calculated getGrowthCurves() plotted plotGrowthCurves() now correct, longer extend asymptotic size. plotGrowthCurves() species_panel = TRUE now respects species argument show growth curves selected species, works MizerParams object well MizerSim object, shows panels correct order. #201 Reinstated example .csv files missing package vignettes longer included.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"mizer-221","dir":"Changelog","previous_headings":"","what":"mizer 2.2.1","title":"mizer 2.2.1","text":"CRAN release: 2021-08-03","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"new-functionality-2-2-1","dir":"Changelog","previous_headings":"","what":"New functionality","title":"mizer 2.2.1","text":"setBevertonHolt() function expanded arguments. allows change density dependence reproduction without changing steady state model. new getReproductionLevel() function tells proportion maximum reproduction rate species operating model. package now comes example MizerSim object NS_sim holds simulation North Sea model. New function plotDataFrame() allows easier creation plots.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"bug-fixes-2-2-1","dir":"Changelog","previous_headings":"","what":"Bug fixes","title":"mizer 2.2.1","text":"setInitialValues() correctly preserves gear names initial effort. Thanks Axel Rossberg. getFMort() correctly passes t argument custom fishing mortality function may written. legends plots now show species actually included plot.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"other-improvements-2-2-1","dir":"Changelog","previous_headings":"","what":"Other improvements","title":"mizer 2.2.1","text":"Speed improvement mizerPredMort() suggested Axel Rossberg. plotSpectra() now shows species legend actually contained plot. Updated tests plots use new version vdiffr package. improvements examples help pages. functions thorough tests arguments give useful error messages. initialNOther() also works MizerSim object. projectToSteady() called effort, effort now also stored initial_effort slot. Improvement summary() now using sprintf() better formatting also gives initial_effort. Improved documentation size grid bins. arguments project_simple() given convenient defaults. tooltips plotly plots cleaned bit. Species names now always coerced strings, even user supplies numeric names. Update “Multi-Species Model North Sea” tutorial use projectToSteady().","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"mizer-220","dir":"Changelog","previous_headings":"","what":"mizer 2.2.0","title":"mizer 2.2.0","text":"CRAN release: 2021-06-24","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"new-functionality-2-2-0","dir":"Changelog","previous_headings":"","what":"New functionality","title":"mizer 2.2.0","text":"New function newSingleSpeciesParams() creating single species power-law background. New function animateSpectra() creating animated plot simulation. New functions addSpecies(), removeSpecies() renameSpecies(). parameters ecosystem component added setComponent() can now take form, longer named list. New argument return_data plot’s functions allows return data frame used ggplot instead plot.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"breaking-changes-2-2-0","dir":"Changelog","previous_headings":"","what":"Breaking changes","title":"mizer 2.2.0","text":"steady() longer switches Beverton-Holt density dependence. can manually setBevertonHolt() R_factor = Inf.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"bug-fixes-2-2-0","dir":"Changelog","previous_headings":"","what":"Bug fixes","title":"mizer 2.2.0","text":"getYield() now also works density-dependent fishing mortality. Thanks James Roger discovering problem. gamma argument now longer ignored newTraitParams() correctly overrides f0 argument. #188 getFMort() works correctly called MizerSim object. resource_semichemostat() longer fail sizes resource growth rate resource mortality rate zero. default no_w newTraitParams() now always integer. Problems different machine precision longer prompts error “w_min_idx point start size bin containing egg size w_min”. `addSpecies() longer extends grid due rounding errors. valid_species_arg() called species = NULL background species returns NULL.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"documentation-2-2-0","dir":"Changelog","previous_headings":"","what":"Documentation","title":"mizer 2.2.0","text":"New tutorial single-species sizes-spectrum dynamics. Improved documentation getDiet() plotDiet(). info units added documentation summary functions.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"mizer-210","dir":"Changelog","previous_headings":"","what":"mizer 2.1.0","title":"mizer 2.1.0","text":"CRAN release: 2021-03-21","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"new-functionality-2-1-0","dir":"Changelog","previous_headings":"","what":"New functionality","title":"mizer 2.1.0","text":"New function projectToSteady() run full dynamics steady state. New functions distanceSSLogN() distanceMaxRelRDI() measure distance two states. New function compareParams() compare two MizerParams objects. Added constantEggRDI() allow keeping egg densities fixed. setting custom parameter arrays setter functions, now easy user document via “comment” arguments. #177 New function customFunction() allow users overwrite mizer functions. Now effort specified named vector giving values gears, effort remaining gears assumed zero. Added possibility see output plotGrowthCurves panel species respective Von Bertalanffy curves","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"breaking-changes-2-1-0","dir":"Changelog","previous_headings":"","what":"Breaking changes","title":"mizer 2.1.0","text":"default, functions plotPredMort() plotFMort stop displaying mortality values past species’ asymptotic size. argumentall.sizes allows continue show values.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"bug-fixes-2-1-0","dir":"Changelog","previous_headings":"","what":"Bug fixes","title":"mizer 2.1.0","text":"getFMort() now passes time argument correctly. #181 validEffortArray() now sets dimnames correctly. #173","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"code-improvements-2-1-0","dir":"Changelog","previous_headings":"","what":"Code improvements","title":"mizer 2.1.0","text":"Using lifecycle package indicate status functions arguments ‘experimental’ ‘deprecated’. Improved error handling setFishing(). #172 Made use vdiffr conditional, required §1.1.3.1 ‘Writing R Extensions’. Consistent handling species argument mizer functions, via new valid_species_arg() function. #170 tests. Test coverage now 94.71% Improved argument checking setInitialValues() Throwing error min_w_pp larger min_w Improved documentation functions getting fishing mortality.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"mizer-204","dir":"Changelog","previous_headings":"","what":"mizer 2.0.4","title":"mizer 2.0.4","text":"CRAN release: 2020-08-30","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"bug-fixes-2-0-4","dir":"Changelog","previous_headings":"","what":"Bug fixes","title":"mizer 2.0.4","text":"value t passed dynamics functions corrected. setReproduction() now correctly sets total proportion psi maturity proportion changed.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"enhancements-2-0-4","dir":"Changelog","previous_headings":"","what":"Enhancements","title":"mizer 2.0.4","text":"way times set project() simplified. now either set arguments t_start, t_max t_save dimension names effort array. Renamed setRmax() setBevertonHolt() allow work arbitrary MizerParams object. old name setRmax() still available alias. mizerFMort() now can also use abundances rates e_growth pred_mort. useful example implementing balanced harvesting. calculation numeric scheme simplified. gear_params allowed zero rows. validGearParams() species name used gear name case gear_name NA. validGearParams() ensures required arguments selectivity function supplied checks validity species names. species_params()<- suppresses warnings. steady() fails RDI zero gives meaningful error message. newCommunityParams() now protects zero investment reproduction comment. default maturity ogive truncated proportions smaller 1e-8. new helper function valid_species_arg() checks validity species selection arguments. upgradeParams() can now also upgrade old MizerParams objects consistent initial_effort. new helper function validParams() validates MizerParams object automatically upgrades upgradeParams() necessary. Old MizerParams objects updated automatically used plot functions, rate functions, summary functions project() steady(), #163. New function getRates() calculates rates collects list. steady() return_sim = TRUE now creates MizerSim object way project(), namely original values first time slot. Added documentation species_params(), gear_params() resource_params(). Numerous small improvements documentation.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"mizer-203","dir":"Changelog","previous_headings":"","what":"mizer 2.0.3","title":"mizer 2.0.3","text":"CRAN release: 2020-07-28","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"bug-fixes-2-0-3","dir":"Changelog","previous_headings":"","what":"Bug fixes","title":"mizer 2.0.3","text":"Correct handling shiny progress bar project().","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"enhancements-2-0-3","dir":"Changelog","previous_headings":"","what":"Enhancements","title":"mizer 2.0.3","text":"Consistently passing time argument rate functions. allow extensions implement time-dependent rates. Passing growth mortality rate RDI function. Simplified getRates() functions removing arguments passed rates. Instead required rates now always calculated within functions. Improved documentation rate functions register rate functions. validGearParams() handle NAs gracefully check duplicates. Updated hake-mullet selectivity demonstration shiny app. Improved user documentation several places.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"mizer-202","dir":"Changelog","previous_headings":"","what":"mizer 2.0.2","title":"mizer 2.0.2","text":"CRAN release: 2020-06-08","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"bug-fixes-2-0-2","dir":"Changelog","previous_headings":"","what":"Bug fixes","title":"mizer 2.0.2","text":"Time passed rate functions now actual simulation time, time elapsed since start simulation. upgradeParams() works also params objects created development version mizer. upgrading older params object, upgradeParams() better job guessing value w_pp_cutoff. getFeedingLevel(), getPredMort(), setInitialValues() steady() now work also model extra components. critical feeding level lines now mentioned legend plotFeedinglevel() called include_critical = TRUE, see #162. Avoid annoying warnings dplyr package species_params tibble.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"name-changes-2-0-2","dir":"Changelog","previous_headings":"","what":"Name changes","title":"mizer 2.0.2","text":"Renamed functions params(), effort() times() getParams(), getEffort() getTimes() avoid conflicts.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"minor-enhancements-2-0-2","dir":"Changelog","previous_headings":"","what":"Minor enhancements","title":"mizer 2.0.2","text":"improvements documentation. unit tests. Uses less memory time step small creating array effort values time step. getDiet() also takes account possible contributions user-defined components. extension mechanism, now name component also passed functions implementing dynamics, encounter mortality. project() called t_max < t_save t_save automatically reduced result t_max get saved. Start showing progress bar earlier project(). New helper function project_simple() projects given number time steps. might useful extension writers. ... argument project() passed dynamics rate functions. steady() runs faster using project_simple(). Documentation mizer website now search bar.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"mizer-201","dir":"Changelog","previous_headings":"","what":"mizer 2.0.1","title":"mizer 2.0.1","text":"CRAN release: 2020-05-05","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"bug-fixes-2-0-1","dir":"Changelog","previous_headings":"","what":"Bug fixes","title":"mizer 2.0.1","text":"summary() now also works non-default feeding kernels. #159 validSpeciesParams() longer fails w_mat25 specified. #160 setInitialValues() also works model single species. #161 resource_params()<- now works unit tests.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"name-changes-2-0-1","dir":"Changelog","previous_headings":"","what":"Name changes","title":"mizer 2.0.1","text":"inconsistencies choice names parameters removed renaming interaction_p -> interaction_resource r_resource -> resource_rate K_resource -> resource_capacity","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"minor-enhancements-2-0-1","dir":"Changelog","previous_headings":"","what":"Minor enhancements","title":"mizer 2.0.1","text":"New functions other_params()<- other_params() setting getting parameters, example used user-defined rate functions. setInitialValues() also sets initial_effort. #157","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"mizer-200","dir":"Changelog","previous_headings":"","what":"mizer 2.0.0","title":"mizer 2.0.0","text":"CRAN release: 2020-04-04 major new release many new features, internal refactoring code new extension mechanism.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"backwards-compatibility-2-0-0","dir":"Changelog","previous_headings":"","what":"Backwards compatibility","title":"mizer 2.0.0","text":"Nevertheless version mizer almost fully backwards compatible version 1.0 exception bug fixes following breaking changes: previous version mizer inconsistently truncated lognormal predation kernel calculating predation calculating encounter. new version never truncates. leads small differences simulation results. Removed print_it argument plot functions. plotFeedingLevel() now plots values within size range species. reason want old plots show feeding level also sizes fish can never , need supply argument .sizes = TRUE. way density-dependence reproduction rate set changed, see RDD argument setReproduction(). sex_ratio argument removed getRDI() getRDD(). set_scaling_model() function removed models can now set newTraitParams() options perfect_scaling = TRUE egg_size_scaling = TRUE. functions display_frames(), addSpecies(), setBackground() retuneAbundance() removed “mizerExperimental” package (https://sizespectrum.org/mizerExperimental/) runs project() progress bar displayed default. can turn option `progress_bar = FALSE. Throughout mizer term “plankton” replaced “resource”, affects labelling resource spectrum plots.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"setting-up-models-2-0-0","dir":"Changelog","previous_headings":"","what":"Setting up models","title":"mizer 2.0.0","text":"new functions newCommunityParams() newTraitParams() newMultispeciesParams() replace old functions set_community_model(), set_trait_model() MizerParams(), now deprecated. new functions choose better default values, particular metabolic rate maximum intake rate.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"setting-model-parameters-2-0-0","dir":"Changelog","previous_headings":"","what":"Setting model parameters","title":"mizer 2.0.0","text":"setting mizer model, possible change specific model parameters new functions species_params<-() resource_params<-() gear_params<-() setPredKernel() setSearchVolume() setInteraction() setMaxIntakeRate() setMetabolicRate() setExtMort() setReproduction() setFishing() setResource() new function setParams() wrapper functions also used setting new model newMultispeciesParams(). (#51) documentation functions serves explain details mizer model. Along setter functions accessor functions getting parameter arrays: getPredKernel(), getSearchVolume(), getInteraction(), getMaxIntakeRate(), getMetabolicRate(), getExtMort(), getMaturityProportion(), getReproductionProportion(), getCatchability(), getSelectivity(), getResourceRate(), getResourceCapacity(), getResourceParams(), getResourceDynamics(), Setting maximum reproduction rate separated new function setRmax().","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"initial-values-and-steady-state-2-0-0","dir":"Changelog","previous_headings":"","what":"Initial Values and steady state","title":"mizer 2.0.0","text":"MizerParams object now also contains initial values size spectra. particularly useful model tuned produce observed steady state. new function steady() finds steady state model sets initial value. initial values can accessed changed via functions initialN() initialNResource(). initial values can set final values previous simulation setInitialValues(). MizerParams object now slot initial_effort specifies initial fishing effort steady state calibrated.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"extension-mechanisms-2-0-0","dir":"Changelog","previous_headings":"","what":"Extension mechanisms","title":"mizer 2.0.0","text":"Mizer now extension mechanism allows R packages written generalise mizer model. See setRateFunction() setComponent(). mechanism still experimental may change gain experience writing extensions mizer.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"plotting-2-0-0","dir":"Changelog","previous_headings":"","what":"Plotting","title":"mizer 2.0.0","text":"Every plot function now plotly version makes plot interactive using plotly package. example plotlyBiomass() plotly version plotBiomass(), . New plotGrowthCurves() plots growth curves compares von Bertalanffy growth curve. New plotDiet() plots diet composition function predator size. New highlight argument plot functions display curves multiple species. Displays highlighted species wider lines. legends plots species now consistently ordered way species parameter data frame. plot functions time-resolved now accept also MizerParams object alternative MizerSim object plot initial state. New plot() method MizerParams object plot initial state. Avoiding duplicate graphs R Markdown documents. New argument include_critical plotFeedingLevel() allows show also critical feeding level. New wlim argument plotSpectra() analogy existing ylim argument limit w range plot. colours used plot functions can set setColours(). default line type solid can changed via setLinetypes() function. Use colour linetype plots irrespective number species.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"general-predation-kernel-2-0-0","dir":"Changelog","previous_headings":"","what":"General predation kernel","title":"mizer 2.0.0","text":"Users can now replace lognormal function predation kernel function choice, allowing differently shaped kernel species. New box_pred_kernel() implements box-shaped kernel alternative default lognormal_pred_kernel(). New power_law_pred_kernel() implements power-law kernel sigmoidal cutoffs ends. suitable filter feeders. Users can sets predation kernel predator-size-dependent predator/prey mass ration (via setPredKernel()). Mizer automatically falls back old non-FFT code handle . (#41) New getPredKernel() returns full 3-dimensional predation kernel array, even stored MizerParams object.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"new-gear-setup-2-0-0","dir":"Changelog","previous_headings":"","what":"New gear setup","title":"mizer 2.0.0","text":"Now finally possible several gears (fleets) targeting species. information set via new gear_params() data frame. See setFishing() details.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"other-new-functions-2-0-0","dir":"Changelog","previous_headings":"","what":"Other new functions","title":"mizer 2.0.0","text":"now accessor functions slots MizerParams MizerSim objects. example get size grid spacing now use w(), w_full(), dw(), dw_full(). New upgradeParams() upgradeSim() can upgrade objects previous versions mizer work new version. New getDiet() calculates diet predators. (#43) Alternative functions RickerRDD() SheperdRDD() density-dependence reproduction, well noRDD() constantRDD(). New gear selectivity function double_sigmoid_length() allows modelling escape large individuals. New gear selectivity function sigmoidal_weight() weight-based trawl selectivity function. (Ken H Andersen) New getGrowthCurves() calculates growth curves (size age). New mizerRates() calculates rates needed model collects list. convenience function times() extract times simulation results saved MizerSim object. Convenience functions finalN(), finalNResource() finalNOther() well idxFinalT() access values final time simulation. New function getCriticalFeedingLevel() returns critical feeding level species size. Mizer re-exports melt() function reshape2 package allows users convert arrays returned mizer functions data frames can used example ggplot2 plotly. validSpeciesParams() checks validity species parameter data frame sets defaults missing required parameters.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"other-new-features-2-0-0","dir":"Changelog","previous_headings":"","what":"Other new features","title":"mizer 2.0.0","text":"allometric exponents n, p q well feeding level f0 can now set species level via columns species_params. critical feeding level fc can now specified species parameter used calculate metabolic rate parameter ks supplied. project() now shows progress bar simulation running. Can turned progress_bar = FALSE argument. Satiation can switched setting maximum intake rate Inf. Users can now set resource dynamics instead default resource_semichemostat(). Different species can interact resource different strengths, feed resource , controlled interaction_resource column species parameter data frame. steepness maturity ogive can now controlled via w_mat25 column species parameter dataframe, gives size 25% individuals species mature. scaling exponent allocation energy reproduction can now set via m column species parameter data frame. project() can now continue projection last time step previous simulation first argument MizerSim object. new append argument controls whether new results appended old. Values minimum resource size, minimum maximum consumer sizes set automatically provided newMultispeciesParams(). Default values species parameters used missing values within column species parameter data frame, column missing entirely. Rate functions take defaults n, n_pp n_other arguments initial values params argument. New perfect_scaling argument allows newTraitParams() produce perfectly scale-invariant model. new ext_mort_prop argument newTraitParams() allows inclusion external mortality. Added data fileNS_params North Sea model MizerParams object. Comments can added MizerParams objects slots. Slots comments protected overwritten allometric defaults. Gear selectivity functions now can use species parameters.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"documentation-2-0-0","dir":"Changelog","previous_headings":"","what":"Documentation","title":"mizer 2.0.0","text":"Mizer now documentation website https://sizespectrum.org/mizer/ latest released version https://sizespectrum.org/mizer/dev/ development version. (#48) help pages mizer functions extended massively, see example help newMultispeciesParams(). vignette chapters shown pages website. html help pages plotting functions now show example plots. Clarified mizer uses grams years size time units agnostic whether abundances per area, per volume per study area. (#42) Added tutorial using ggplot2 plotly mizer. Added tutorial working git GitHub mizer development. Added FAQ page developers. Added unit test automatically run spell check documentation. getmM2() -> getPredMort() plotM2 -> plotPredMort() getM2background() -> getResourceMort() getZ() -> getMort() getESpawning() -> getERepro() MizerParams() -> emptyParams() set_multispecies_model() Renamed maximum reproductive rate r_max R_max. Updated list publications (@Kenhasteandersen) Using R Markdown roxygen comments.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"bug-fixes-2-0-0","dir":"Changelog","previous_headings":"","what":"Bug fixes","title":"mizer 2.0.0","text":"getSSB(), calculation spawning stock biomass done correctly using maturity ogive instead proportion energy allocated reproduction. (#47) fast FFT method old method calculating integrals now give numerical results. (#39) getEncounter() getPredRate() now set names returned arrays. Resource carrying capacity scale-invariant model calculated way reduces rounding errors. Avoids potential problems negative numbers due numerical errors. Consistently cutting predation kernel 0 beta + 3 sigma. ylim argument handled correctly plots. display_frame() now exported. plotGrowthCurves() getGrowthCurves() also works single species t_start argument project() used correctly times truncated 3 significant figures, allow something like 2019. get_initial_n() gets values n q params object summary() MizerParams object reflects number non-empty resource bins. (@patricksykes)","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"under-the-hood-2-0-0","dir":"Changelog","previous_headings":"","what":"Under the hood","title":"mizer 2.0.0","text":"Now using vdiffr package test plots. Converted S4 methods functions decrease learning curve new developers. calculation defaults now handled new get_gamma_default(), get_h_default() get_ks_default(), making easier change extend future. Helper function set_species_param_default() makes easier set default values species parameters. Simplified FFT calculations readable. Using @inherit functionality roxygen2 reduce duplication roxygen documentation. Using `@family’ group function documentation pages. helper functions now documented exported. getPhiPrey() replaced getEncounter() now returns full encounter rate, including contribution components. Even absence components, getEncounter() differs old getPhiPrey() includes search volume factor. Changed naming convention: user-facing function names now camelCase. Consistently use params refer argument class MizerParams, sim refer argument class MizerSim, object argument can either. Updated calls setClass() follow new guidelines, replacing representation class removing prototype validity. Added numerical tests. Using assert_that check arguments functions often. Argument shiny_progress renamed progress_bar control type progress bar. documentation renamed “background” “plankton” consistently “resource”. Using outer() instead tapply() possible improve readability. Avoiding use hasArg() anyNA() available R 3.1 robust code setting size grids. Improved consistency issue warnings issue messages. Split large code files smaller files. Merged @std_metab @activity slots single @metab slot. Moved @w_min_idx @species_params slot. Added slot @maturity hold maturity ogive. Added slot @pred_kernel hold predation kernel variable predator/prey ratio. Added slot @resource_dynamics allow user specify alternative resource dynamics. Added slot @gear_dynamics species targeted multiple gears. Added slot @ft_mask used calculating predation rates using Fourier transform method. Added slot @rates_funcs allow mizer extensions replace mizer rate functions rate functions. Instead function slot @srr now name function @rate_funcs$RDD, see #91. Added slots @other_dynamics, @other_params, @other_encounter, @other_mort @initial_n_other allow mizer extensions add ecosystem components.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"mizer-101","dir":"Changelog","previous_headings":"","what":"mizer 1.0.1","title":"mizer 1.0.1","text":"CRAN release: 2019-01-27 Now compatible older versions R > 3.1.0. Skipping test CRAN fails machines different precision. Fixing minor typos documentation.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"mizer-10","dir":"Changelog","previous_headings":"","what":"mizer 1.0","title":"mizer 1.0","text":"CRAN release: 2018-05-01 Fixed bugs start time simulation handled. leads small corrections, output version slightly different previous versions. Introduced scale-invariant trait-based model, set set_scaling_model(), see section 12 vignette. Added function adds news species scale-invariant background, computes approximately steady state close power law, see section 13 vignette. Created example shiny app allow people use mizer web browser without install mizer. app explores effect selective fishing gear case study. Added units axes Added function plotting growth curves PlotYield() longer fails species names numbers species abundance zero Added total parameter several plot functions add curve total community (sum species resource) Added species parameter plot functions allow selection species plotted Allow number ticks y-axis biomass plot controlled Allow size- species-dependent background death. Add @initial_n @initial_n_pp slots MizerParams class. Now checking effort times increasing. Corrections documentation. Improvements vignette. Add test numeric solution analytic solution.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"mizer-04","dir":"Changelog","previous_headings":"","what":"mizer 0.4","title":"mizer 0.4","text":"CRAN release: 2017-12-14 Improvements made speed evaluating convolution sums via fft, removing bottlenecks getPhiPrey() getPredRate(). Using C++ inner loop project method extra speed. Minor corrections vignette documentation bring alignment document new home GitHub new maintainers.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"mizer-03","dir":"Changelog","previous_headings":"","what":"mizer 0.3","title":"mizer 0.3","text":"Improvements made speed simulations. Remaining bottle necks sweep statements getPhiPrey() getPredRate(). Moved tests new suggested folder. Minor changes documentation pass new check requirements.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"mizer-02","dir":"Changelog","previous_headings":"","what":"mizer 0.2","title":"mizer 0.2","text":"CRAN release: 2014-04-16 Release coincide submission MEE paper. major changes. Just minor bug fixes.","code":""},{"path":"https://sizespectrum.org/mizer/news/index.html","id":"mizer-01","dir":"Changelog","previous_headings":"","what":"mizer 0.1","title":"mizer 0.1","text":"CRAN release: 2013-10-08 Beta release - just works still gremlins sort . number features ’d like add coming releases.","code":""}]
diff --git a/docs/sitemap.xml b/docs/sitemap.xml
index a47b0bc37..fb26594a8 100644
--- a/docs/sitemap.xml
+++ b/docs/sitemap.xml
@@ -1,28 +1,39 @@
 <urlset xmlns = 'http://www.sitemaps.org/schemas/sitemap/0.9'>
 <url><loc>https://sizespectrum.org/mizer/404.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/AGENTS.html</loc></url>
+<url><loc>https://sizespectrum.org/mizer/CLAUDE.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/CONTRIBUTING.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/articles/a_multispecies_model_of_the_north_sea.html</loc></url>
+<url><loc>https://sizespectrum.org/mizer/articles/analytic_test.html</loc></url>
+<url><loc>https://sizespectrum.org/mizer/articles/cheatsheet.html</loc></url>
+<url><loc>https://sizespectrum.org/mizer/articles/cohort_dynamics_and_diffusion.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/articles/community_model.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/articles/developer_FAQ.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/articles/developer_vignette.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/articles/editing_website.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/articles/exploring_the_simulation_results.html</loc></url>
+<url><loc>https://sizespectrum.org/mizer/articles/extension-packages.html</loc></url>
+<url><loc>https://sizespectrum.org/mizer/articles/extensions.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/articles/index.html</loc></url>
+<url><loc>https://sizespectrum.org/mizer/articles/mathematical_details.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/articles/mizer.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/articles/mizer_vignette.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/articles/model_description.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/articles/multispecies_model.html</loc></url>
+<url><loc>https://sizespectrum.org/mizer/articles/numerical_details.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/articles/plotting.html</loc></url>
+<url><loc>https://sizespectrum.org/mizer/articles/predation_diffusion.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/articles/publications.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/articles/running_a_simulation.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/articles/single_species_size-spectrum_dynamics.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/articles/trait_model.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/articles/working_with_git.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/authors.html</loc></url>
-<url><loc>https://sizespectrum.org/mizer/copilot-instructions.html</loc></url>
+<url><loc>https://sizespectrum.org/mizer/extension-chain-implementation-plan.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/index.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/news/index.html</loc></url>
+<url><loc>https://sizespectrum.org/mizer/reference/ArraySpeciesBySize.html</loc></url>
+<url><loc>https://sizespectrum.org/mizer/reference/ArraySpeciesByTime.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/BevertonHoltRDD.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/MizerParams-class.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/MizerParams.html</loc></url>
@@ -41,11 +52,16 @@
 <url><loc>https://sizespectrum.org/mizer/reference/age_mat.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/age_mat_vB.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/animateSpectra.html</loc></url>
+<url><loc>https://sizespectrum.org/mizer/reference/assertExtensionChain.html</loc></url>
+<url><loc>https://sizespectrum.org/mizer/reference/baseMizerClass.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/box_pred_kernel.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/calc_selectivity.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/calibrateBiomass.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/calibrateNumber.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/calibrateYield.html</loc></url>
+<url><loc>https://sizespectrum.org/mizer/reference/clearExtensionChain.html</loc></url>
+<url><loc>https://sizespectrum.org/mizer/reference/coerceToExtensionClass.html</loc></url>
+<url><loc>https://sizespectrum.org/mizer/reference/compareExtensionChains.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/compareParams.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/completeSpeciesParams.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/constantEggRDI.html</loc></url>
@@ -54,19 +70,25 @@
 <url><loc>https://sizespectrum.org/mizer/reference/customFunction.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/default_pred_kernel_params.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/defaults_edition.html</loc></url>
+<url><loc>https://sizespectrum.org/mizer/reference/defineExtensionClasses.html</loc></url>
+<url><loc>https://sizespectrum.org/mizer/reference/defineOrCheckClass.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/different.html</loc></url>
+<url><loc>https://sizespectrum.org/mizer/reference/dispatchExtensions.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/distanceMaxRelRDI.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/distanceSSLogN.html</loc></url>
+<url><loc>https://sizespectrum.org/mizer/reference/dot-checkRateFunctionOutput.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/double_sigmoid_length.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/emptyParams.html</loc></url>
+<url><loc>https://sizespectrum.org/mizer/reference/ensureExtensionNamespaces.html</loc></url>
+<url><loc>https://sizespectrum.org/mizer/reference/expandSizeGrid.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/finalN.html</loc></url>
-<url><loc>https://sizespectrum.org/mizer/reference/finalNOther.html</loc></url>
+<url><loc>https://sizespectrum.org/mizer/reference/formatExtensionChain.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/gear_params.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/getBiomass.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/getCommunitySlope.html</loc></url>
-<url><loc>https://sizespectrum.org/mizer/reference/getComponent.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/getCriticalFeedingLevel.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/getDiet.html</loc></url>
+<url><loc>https://sizespectrum.org/mizer/reference/getDiffusion.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/getEGrowth.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/getERepro.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/getEReproAndGrowth.html</loc></url>
@@ -76,6 +98,7 @@
 <url><loc>https://sizespectrum.org/mizer/reference/getFMort.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/getFMortGear.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/getFeedingLevel.html</loc></url>
+<url><loc>https://sizespectrum.org/mizer/reference/getFlux.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/getGrowthCurves.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/getInteraction.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/getM2.html</loc></url>
@@ -92,11 +115,15 @@
 <url><loc>https://sizespectrum.org/mizer/reference/getRDD.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/getRDI.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/getRates.html</loc></url>
+<url><loc>https://sizespectrum.org/mizer/reference/getRegisteredExtensions.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/getReproductionLevel.html</loc></url>
+<url><loc>https://sizespectrum.org/mizer/reference/getRequiredRDD.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/getResourceDynamics.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/getResourceMort.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/getSSB.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/getTimes.html</loc></url>
+<url><loc>https://sizespectrum.org/mizer/reference/getTrophicLevel.html</loc></url>
+<url><loc>https://sizespectrum.org/mizer/reference/getTrophicLevelBySpecies.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/getYield.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/getYieldGear.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/getZ.html</loc></url>
@@ -106,8 +133,8 @@
 <url><loc>https://sizespectrum.org/mizer/reference/get_initial_n.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/get_ks_default.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/get_phi.html</loc></url>
-<url><loc>https://sizespectrum.org/mizer/reference/get_required_reproduction.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/get_size_range_array.html</loc></url>
+<url><loc>https://sizespectrum.org/mizer/reference/get_steady_state_n.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/get_time_elements.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/index.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/indicator_functions.html</loc></url>
@@ -116,15 +143,21 @@
 <url><loc>https://sizespectrum.org/mizer/reference/initialNResource-set.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/initial_effort.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/inter.html</loc></url>
+<url><loc>https://sizespectrum.org/mizer/reference/is.ArraySpeciesBySize.html</loc></url>
+<url><loc>https://sizespectrum.org/mizer/reference/is.ArraySpeciesByTime.html</loc></url>
+<url><loc>https://sizespectrum.org/mizer/reference/isSuffixChain.html</loc></url>
+<url><loc>https://sizespectrum.org/mizer/reference/isVersionRequirement.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/knife_edge.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/l2w.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/log_breaks.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/lognormal_pred_kernel.html</loc></url>
+<url><loc>https://sizespectrum.org/mizer/reference/markBackground.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/matchBiomasses.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/matchGrowth.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/matchNumbers.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/matchYields.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/mizer-package.html</loc></url>
+<url><loc>https://sizespectrum.org/mizer/reference/mizerDiffusion.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/mizerEGrowth.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/mizerERepro.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/mizerEReproAndGrowth.html</loc></url>
@@ -144,7 +177,8 @@
 <url><loc>https://sizespectrum.org/mizer/reference/newSingleSpeciesParams.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/newTraitParams.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/noRDD.html</loc></url>
-<url><loc>https://sizespectrum.org/mizer/reference/plot-MizerParams-missing-method.html</loc></url>
+<url><loc>https://sizespectrum.org/mizer/reference/objectExtensions.html</loc></url>
+<url><loc>https://sizespectrum.org/mizer/reference/plot.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/plotBiomass.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/plotBiomassObservedVsModel.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/plotDataFrame.html</loc></url>
@@ -153,6 +187,7 @@
 <url><loc>https://sizespectrum.org/mizer/reference/plotFeedingLevel.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/plotGrowthCurves.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/plotM2.html</loc></url>
+<url><loc>https://sizespectrum.org/mizer/reference/plotMizerParams.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/plotMizerSim.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/plotPredMort.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/plotSpectra.html</loc></url>
@@ -162,9 +197,14 @@
 <url><loc>https://sizespectrum.org/mizer/reference/plotting_functions.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/power_law_pred_kernel.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/project.html</loc></url>
+<url><loc>https://sizespectrum.org/mizer/reference/projectRDD.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/projectToSteady.html</loc></url>
+<url><loc>https://sizespectrum.org/mizer/reference/project_n.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/project_simple.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/reexports.html</loc></url>
+<url><loc>https://sizespectrum.org/mizer/reference/registerExtension.html</loc></url>
+<url><loc>https://sizespectrum.org/mizer/reference/registerExtensions.html</loc></url>
+<url><loc>https://sizespectrum.org/mizer/reference/removeBackgroundSpecies.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/removeSpecies.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/renameGear.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/renameSpecies.html</loc></url>
@@ -174,9 +214,11 @@
 <url><loc>https://sizespectrum.org/mizer/reference/resource_semichemostat.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/saveParams.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/scaleModel.html</loc></url>
+<url><loc>https://sizespectrum.org/mizer/reference/scaleRates.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/setBevertonHolt.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/setColours.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/setComponent.html</loc></url>
+<url><loc>https://sizespectrum.org/mizer/reference/setExtDiffusion.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/setExtEncounter.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/setExtMort.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/setFishing.html</loc></url>
@@ -198,21 +240,25 @@
 <url><loc>https://sizespectrum.org/mizer/reference/set_trait_model.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/sigmoid_length.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/sigmoid_weight.html</loc></url>
+<url><loc>https://sizespectrum.org/mizer/reference/simExtensionClass.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/species_params.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/steady.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/steadySingleSpecies.html</loc></url>
-<url><loc>https://sizespectrum.org/mizer/reference/summary-MizerParams-method.html</loc></url>
-<url><loc>https://sizespectrum.org/mizer/reference/summary-MizerSim-method.html</loc></url>
+<url><loc>https://sizespectrum.org/mizer/reference/summary.MizerParams.html</loc></url>
+<url><loc>https://sizespectrum.org/mizer/reference/summary.MizerSim.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/summary_functions.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/truncated_lognormal_pred_kernel.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/upgradeParams.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/upgradeSim.html</loc></url>
+<url><loc>https://sizespectrum.org/mizer/reference/use_predation_diffusion.html</loc></url>
+<url><loc>https://sizespectrum.org/mizer/reference/usesExtensionDispatch.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/validGearParams.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/validParams.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/validSim.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/validSpeciesParams.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/valid_gears_arg.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/valid_species_arg.html</loc></url>
+<url><loc>https://sizespectrum.org/mizer/reference/validateExtensionsVector.html</loc></url>
 <url><loc>https://sizespectrum.org/mizer/reference/w.html</loc></url>
 </urlset>
 
diff --git a/man/BevertonHoltRDD.Rd b/man/BevertonHoltRDD.Rd
index 27cd8f46d..27158fd8c 100644
--- a/man/BevertonHoltRDD.Rd
+++ b/man/BevertonHoltRDD.Rd
@@ -43,6 +43,7 @@ Other functions calculating density-dependent reproduction rate:
 \code{\link[=SheperdRDD]{SheperdRDD()}},
 \code{\link[=constantEggRDI]{constantEggRDI()}},
 \code{\link[=constantRDD]{constantRDD()}},
-\code{\link[=noRDD]{noRDD()}}
+\code{\link[=noRDD]{noRDD()}},
+\code{\link[=projectRDD]{projectRDD()}}
 }
 \concept{functions calculating density-dependent reproduction rate}
diff --git a/man/MizerParams-class.Rd b/man/MizerParams-class.Rd
index 0bf576d6a..a04fd229e 100644
--- a/man/MizerParams-class.Rd
+++ b/man/MizerParams-class.Rd
@@ -29,10 +29,12 @@ abundances or harvest effort through time. These are held in
 \item{\code{mizer_version}}{The package version of mizer (as returned by
 \code{packageVersion("mizer")}) that created or upgraded the model.}
 
-\item{\code{extensions}}{A named vector of strings where each name is the name of
-and extension package needed to run the model and each value is a string
-giving the information that the remotes package needs to install the
-correct version of the extension package, see https://remotes.r-lib.org/.}
+\item{\code{extensions}}{A named vector of strings describing the extension chain
+needed to run the model. The names are extension identifiers and S4 marker
+class names. The order is the S3 dispatch order, from outermost to
+innermost extension. The values are version strings, installation
+specifications, or \code{NA_character_}. Extension subclasses are marker
+classes only and must not add slots.}
 
 \item{\code{time_created}}{A POSIXct date-time object with the creation time.}
 
diff --git a/man/MizerSim-class.Rd b/man/MizerSim-class.Rd
index 38a21ded4..a6c9fd4ba 100644
--- a/man/MizerSim-class.Rd
+++ b/man/MizerSim-class.Rd
@@ -44,7 +44,10 @@ with \code{\link[=validSim]{validSim()}}.
 \section{Slots}{
 
 \describe{
-\item{\code{params}}{An object of type \linkS4class{MizerParams}.}
+\item{\code{params}}{An object of type \linkS4class{MizerParams}.
+If this params object uses extensions, the \code{MizerSim} object uses the same
+extension chain via \code{params@extensions}; \code{MizerSim} has no separate
+extension slot.}
 
 \item{\code{n}}{Three-dimensional array (time x species x size) that stores the
 projected community number densities.}
diff --git a/man/NOther.Rd b/man/NOther.Rd
index c53e9c760..dc5aba0db 100644
--- a/man/NOther.Rd
+++ b/man/NOther.Rd
@@ -2,17 +2,35 @@
 % Please edit documentation in R/extension.R
 \name{NOther}
 \alias{NOther}
+\alias{finalNOther}
 \title{Time series of other components}
 \usage{
 NOther(sim)
+
+finalNOther(sim)
 }
 \arguments{
 \item{sim}{A MizerSim object}
 }
 \value{
-A list array indexed by time and component that stores the projected
+For \code{NOther}: A list array indexed by time and component that stores the projected
 values for other ecosystem components.
+
+For \code{finalNOther}: A named list holding the values of other ecosystem components at the
+end of the simulation
 }
 \description{
 Fetch the simulation results for other components over time.
 }
+\seealso{
+Other extension tools:
+\code{\link[=clearExtensionChain]{clearExtensionChain()}},
+\code{\link[=coerceToExtensionClass]{coerceToExtensionClass()}},
+\code{\link[=getRegisteredExtensions]{getRegisteredExtensions()}},
+\code{\link[=initialNOther<-]{initialNOther<-()}},
+\code{\link[=registerExtension]{registerExtension()}},
+\code{\link[=registerExtensions]{registerExtensions()}},
+\code{\link[=setComponent]{setComponent()}},
+\code{\link[=setRateFunction]{setRateFunction()}}
+}
+\concept{extension tools}
diff --git a/man/RickerRDD.Rd b/man/RickerRDD.Rd
index 9d7d828d2..5026915b3 100644
--- a/man/RickerRDD.Rd
+++ b/man/RickerRDD.Rd
@@ -30,6 +30,7 @@ Other functions calculating density-dependent reproduction rate:
 \code{\link[=SheperdRDD]{SheperdRDD()}},
 \code{\link[=constantEggRDI]{constantEggRDI()}},
 \code{\link[=constantRDD]{constantRDD()}},
-\code{\link[=noRDD]{noRDD()}}
+\code{\link[=noRDD]{noRDD()}},
+\code{\link[=projectRDD]{projectRDD()}}
 }
 \concept{functions calculating density-dependent reproduction rate}
diff --git a/man/SheperdRDD.Rd b/man/SheperdRDD.Rd
index a6e5df379..19665ce16 100644
--- a/man/SheperdRDD.Rd
+++ b/man/SheperdRDD.Rd
@@ -34,6 +34,7 @@ Other functions calculating density-dependent reproduction rate:
 \code{\link[=RickerRDD]{RickerRDD()}},
 \code{\link[=constantEggRDI]{constantEggRDI()}},
 \code{\link[=constantRDD]{constantRDD()}},
-\code{\link[=noRDD]{noRDD()}}
+\code{\link[=noRDD]{noRDD()}},
+\code{\link[=projectRDD]{projectRDD()}}
 }
 \concept{functions calculating density-dependent reproduction rate}
diff --git a/man/addSpecies.Rd b/man/addSpecies.Rd
index c5e517fcc..01c62e34c 100644
--- a/man/addSpecies.Rd
+++ b/man/addSpecies.Rd
@@ -10,6 +10,7 @@ addSpecies(
   gear_params = data.frame(),
   initial_effort,
   interaction,
+  steady = TRUE,
   info_level = 3,
   ...
 )
@@ -35,6 +36,13 @@ species. In the latter case all interaction between an old and a new
 species are set to 1. If this argument is missing, all interactions
 involving a new species are set to 1.}
 
+\item{steady}{If \code{TRUE} (default), runs \code{\link[=steadySingleSpecies]{steadySingleSpecies()}} to
+initialise the new species at their single-species steady state and
+retuning their reproductive efficiencies. Set to \code{FALSE} when the caller
+(e.g. an extension package using \code{NextMethod()}) needs to make further
+changes to the params object before that steady-state calculation can be
+run successfully.}
+
 \item{info_level}{Controls the amount of information messages that are shown
 when the function sets default values for parameters. Higher levels lead
 to more messages. Set to 0 to suppress all such messages.}
diff --git a/man/assertExtensionChain.Rd b/man/assertExtensionChain.Rd
new file mode 100644
index 000000000..78da0ceee
--- /dev/null
+++ b/man/assertExtensionChain.Rd
@@ -0,0 +1,31 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/registerExtensions.R
+\name{assertExtensionChain}
+\alias{assertExtensionChain}
+\title{Assert that an object's extension chain is compatible with the session}
+\usage{
+assertExtensionChain(
+  object,
+  extensions = objectExtensions(object),
+  check_class = TRUE
+)
+}
+\arguments{
+\item{object}{A \code{MizerParams} or \code{MizerSim} object.}
+
+\item{extensions}{Named character vector giving the object's extension chain.
+Defaults to \code{\link[=objectExtensions]{objectExtensions()}} applied to \code{object}.}
+
+\item{check_class}{Logical. If \code{TRUE} (default), also verify that \code{object}
+inherits from the expected S4 marker class.}
+}
+\value{
+Invisibly \code{TRUE}. Called for its side-effect of stopping on
+incompatibility.
+}
+\description{
+Stops with an informative error if the object's extension chain is not a
+suffix of the session's registered maximal chain, or (when \code{check_class} is
+\code{TRUE}) if the object does not inherit from the expected S4 marker class.
+}
+\keyword{internal}
diff --git a/man/baseMizerClass.Rd b/man/baseMizerClass.Rd
new file mode 100644
index 000000000..9fa55990e
--- /dev/null
+++ b/man/baseMizerClass.Rd
@@ -0,0 +1,20 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/registerExtensions.R
+\name{baseMizerClass}
+\alias{baseMizerClass}
+\title{Strip extension classes from a mizer object}
+\usage{
+baseMizerClass(object)
+}
+\arguments{
+\item{object}{A \code{MizerParams} or \code{MizerSim} object.}
+}
+\value{
+The same object coerced to \code{MizerParams} or \code{MizerSim}.
+}
+\description{
+Coerces a \code{MizerParams} or \code{MizerSim} object back to its plain base class,
+removing any S4 extension marker classes. For \code{MizerSim}, also strips the
+extension class from the embedded \code{params} slot.
+}
+\keyword{internal}
diff --git a/man/clearExtensionChain.Rd b/man/clearExtensionChain.Rd
new file mode 100644
index 000000000..177d89f41
--- /dev/null
+++ b/man/clearExtensionChain.Rd
@@ -0,0 +1,30 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/registerExtensions.R
+\name{clearExtensionChain}
+\alias{clearExtensionChain}
+\title{Clear the registered extension chain}
+\usage{
+clearExtensionChain()
+}
+\value{
+Invisibly, an empty character vector.
+}
+\description{
+Clears the session's extension registry. You can then create a new
+extension chain with \code{\link[=registerExtensions]{registerExtensions()}}.
+}
+\seealso{
+"Using mizer extension packages":
+\code{vignette("using-extension-packages", package = "mizer")}
+
+Other extension tools:
+\code{\link[=NOther]{NOther()}},
+\code{\link[=coerceToExtensionClass]{coerceToExtensionClass()}},
+\code{\link[=getRegisteredExtensions]{getRegisteredExtensions()}},
+\code{\link[=initialNOther<-]{initialNOther<-()}},
+\code{\link[=registerExtension]{registerExtension()}},
+\code{\link[=registerExtensions]{registerExtensions()}},
+\code{\link[=setComponent]{setComponent()}},
+\code{\link[=setRateFunction]{setRateFunction()}}
+}
+\concept{extension tools}
diff --git a/man/coerceToExtensionClass.Rd b/man/coerceToExtensionClass.Rd
new file mode 100644
index 000000000..294326e4f
--- /dev/null
+++ b/man/coerceToExtensionClass.Rd
@@ -0,0 +1,38 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/registerExtensions.R
+\name{coerceToExtensionClass}
+\alias{coerceToExtensionClass}
+\title{Coerce a mizer object to its registered extension class}
+\usage{
+coerceToExtensionClass(object, extensions = objectExtensions(object))
+}
+\arguments{
+\item{object}{A \code{MizerParams} or \code{MizerSim} object.}
+
+\item{extensions}{Optional extension chain. Defaults to the chain stored in
+\code{object}, or in \code{object@params} for \code{MizerSim}.}
+}
+\value{
+The same object coerced to the appropriate marker class, or to the
+base class for an empty extension chain.
+}
+\description{
+Coerces a \code{MizerParams} or \code{MizerSim} object to the S4 marker class
+corresponding to the object's own extension chain. For \code{MizerSim}, the
+extension chain is read from \code{sim@params@extensions}.
+}
+\seealso{
+"Creating a mizer extension package":
+\code{vignette("creating-extension-packages", package = "mizer")}
+
+Other extension tools:
+\code{\link[=NOther]{NOther()}},
+\code{\link[=clearExtensionChain]{clearExtensionChain()}},
+\code{\link[=getRegisteredExtensions]{getRegisteredExtensions()}},
+\code{\link[=initialNOther<-]{initialNOther<-()}},
+\code{\link[=registerExtension]{registerExtension()}},
+\code{\link[=registerExtensions]{registerExtensions()}},
+\code{\link[=setComponent]{setComponent()}},
+\code{\link[=setRateFunction]{setRateFunction()}}
+}
+\concept{extension tools}
diff --git a/man/compareExtensionChains.Rd b/man/compareExtensionChains.Rd
new file mode 100644
index 000000000..ba02bb197
--- /dev/null
+++ b/man/compareExtensionChains.Rd
@@ -0,0 +1,21 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/registerExtensions.R
+\name{compareExtensionChains}
+\alias{compareExtensionChains}
+\title{Compare two extension chains}
+\usage{
+compareExtensionChains(old, new)
+}
+\arguments{
+\item{old}{Named character vector for the previously registered chain.}
+
+\item{new}{Named character vector for the proposed chain.}
+}
+\value{
+One of \code{"identical"}, \code{"new_is_suffix"}, \code{"old_is_suffix"}, or
+\code{"incompatible"}.
+}
+\description{
+Compare two extension chains
+}
+\keyword{internal}
diff --git a/man/constantEggRDI.Rd b/man/constantEggRDI.Rd
index 0912f78c2..f9e51bb50 100644
--- a/man/constantEggRDI.Rd
+++ b/man/constantEggRDI.Rd
@@ -52,6 +52,7 @@ Other functions calculating density-dependent reproduction rate:
 \code{\link[=RickerRDD]{RickerRDD()}},
 \code{\link[=SheperdRDD]{SheperdRDD()}},
 \code{\link[=constantRDD]{constantRDD()}},
-\code{\link[=noRDD]{noRDD()}}
+\code{\link[=noRDD]{noRDD()}},
+\code{\link[=projectRDD]{projectRDD()}}
 }
 \concept{functions calculating density-dependent reproduction rate}
diff --git a/man/constantRDD.Rd b/man/constantRDD.Rd
index 507667505..4efa9ac31 100644
--- a/man/constantRDD.Rd
+++ b/man/constantRDD.Rd
@@ -28,6 +28,7 @@ Other functions calculating density-dependent reproduction rate:
 \code{\link[=RickerRDD]{RickerRDD()}},
 \code{\link[=SheperdRDD]{SheperdRDD()}},
 \code{\link[=constantEggRDI]{constantEggRDI()}},
-\code{\link[=noRDD]{noRDD()}}
+\code{\link[=noRDD]{noRDD()}},
+\code{\link[=projectRDD]{projectRDD()}}
 }
 \concept{functions calculating density-dependent reproduction rate}
diff --git a/man/customFunction.Rd b/man/customFunction.Rd
index 9d4588412..17af32a84 100644
--- a/man/customFunction.Rd
+++ b/man/customFunction.Rd
@@ -58,3 +58,7 @@ customFunction("project", project)
 mizer::project(NS_params) # This will again use the old project()
 }
 }
+\seealso{
+"Extending mizer":
+\code{vignette("extending-mizer", package = "mizer")}
+}
diff --git a/man/defineExtensionClasses.Rd b/man/defineExtensionClasses.Rd
new file mode 100644
index 000000000..74efe6e24
--- /dev/null
+++ b/man/defineExtensionClasses.Rd
@@ -0,0 +1,22 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/registerExtensions.R
+\name{defineExtensionClasses}
+\alias{defineExtensionClasses}
+\title{Define S4 marker classes for a set of dispatch extensions}
+\usage{
+defineExtensionClasses(extensions)
+}
+\arguments{
+\item{extensions}{Named character vector of extensions (full chain or
+dispatch subset). Non-dispatch entries are silently ignored.}
+}
+\value{
+Invisibly, the named character vector of dispatch extensions.
+}
+\description{
+Creates a linear inheritance chain of S4 classes: the outermost extension
+extends the next, which extends the next, down to the base \code{MizerParams} /
+\code{MizerSim} class. Existing classes are checked for compatibility instead of
+being redefined.
+}
+\keyword{internal}
diff --git a/man/defineOrCheckClass.Rd b/man/defineOrCheckClass.Rd
new file mode 100644
index 000000000..d439c5098
--- /dev/null
+++ b/man/defineOrCheckClass.Rd
@@ -0,0 +1,22 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/registerExtensions.R
+\name{defineOrCheckClass}
+\alias{defineOrCheckClass}
+\title{Define an S4 class or verify it extends the expected parent}
+\usage{
+defineOrCheckClass(class, parent)
+}
+\arguments{
+\item{class}{Character string — the S4 class name to define or check.}
+
+\item{parent}{Character string — the required parent class.}
+}
+\value{
+Invisibly, \code{class}.
+}
+\description{
+If \code{class} does not yet exist, defines it as a virtual-free S4 class that
+contains \code{parent}, registered in \code{.GlobalEnv}. If \code{class} already exists,
+stops with an error unless it already extends \code{parent}.
+}
+\keyword{internal}
diff --git a/man/dispatchExtensions.Rd b/man/dispatchExtensions.Rd
new file mode 100644
index 000000000..d48348d4d
--- /dev/null
+++ b/man/dispatchExtensions.Rd
@@ -0,0 +1,20 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/registerExtensions.R
+\name{dispatchExtensions}
+\alias{dispatchExtensions}
+\title{Filter an extension vector to those that participate in S3/S4 dispatch}
+\usage{
+dispatchExtensions(extensions)
+}
+\arguments{
+\item{extensions}{Named character vector of extensions.}
+}
+\value{
+A named character vector containing only the dispatch extensions,
+preserving order.
+}
+\description{
+An extension participates in dispatch if its requirement is \code{NA_character_}
+(in-development) or if an S4 class with its name already exists.
+}
+\keyword{internal}
diff --git a/man/dot-checkRateFunctionOutput.Rd b/man/dot-checkRateFunctionOutput.Rd
new file mode 100644
index 000000000..ef01c036d
--- /dev/null
+++ b/man/dot-checkRateFunctionOutput.Rd
@@ -0,0 +1,25 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/extension.R
+\name{.checkRateFunctionOutput}
+\alias{.checkRateFunctionOutput}
+\title{Check that a rate function returns the correct output dimensions}
+\usage{
+.checkRateFunctionOutput(params, rate, fun)
+}
+\arguments{
+\item{params}{A MizerParams object}
+
+\item{rate}{Name of the rate being replaced, e.g. \code{"Encounter"}.}
+
+\item{fun}{Name of the candidate function to validate.}
+}
+\value{
+Invisibly \code{NULL}. Called for its side-effect of stopping with an
+informative error if the output has the wrong shape.
+}
+\description{
+Called by \code{\link[=setRateFunction]{setRateFunction()}} to verify that a candidate rate function
+returns an array (or vector/list) of the correct dimensions for the
+requested rate.
+}
+\keyword{internal}
diff --git a/man/ensureExtensionNamespaces.Rd b/man/ensureExtensionNamespaces.Rd
new file mode 100644
index 000000000..17b3f2e16
--- /dev/null
+++ b/man/ensureExtensionNamespaces.Rd
@@ -0,0 +1,23 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/registerExtensions.R
+\name{ensureExtensionNamespaces}
+\alias{ensureExtensionNamespaces}
+\title{Load (and optionally install) namespaces for all non-NA extensions}
+\usage{
+ensureExtensionNamespaces(extensions, install = FALSE)
+}
+\arguments{
+\item{extensions}{Named character vector of extensions.}
+
+\item{install}{Logical. If \code{TRUE}, install or upgrade missing/outdated
+packages via \code{\link[pak:pkg_install]{pak::pkg_install()}}.}
+}
+\value{
+Invisibly \code{TRUE}.
+}
+\description{
+For each extension whose requirement is not \code{NA_character_}, checks that the
+package is installed and up-to-date, installs or upgrades via
+\code{\link[pak:pkg_install]{pak::pkg_install()}} if \code{install = TRUE}, then calls \code{\link[=loadNamespace]{loadNamespace()}}.
+}
+\keyword{internal}
diff --git a/man/figures/unnamed-chunk-4-1.png b/man/figures/unnamed-chunk-4-1.png
index dacd414dc..e4de2f685 100644
Binary files a/man/figures/unnamed-chunk-4-1.png and b/man/figures/unnamed-chunk-4-1.png differ
diff --git a/man/finalNOther.Rd b/man/finalNOther.Rd
deleted file mode 100644
index 2f2221cc0..000000000
--- a/man/finalNOther.Rd
+++ /dev/null
@@ -1,18 +0,0 @@
-% Generated by roxygen2: do not edit by hand
-% Please edit documentation in R/extension.R
-\name{finalNOther}
-\alias{finalNOther}
-\title{Values of other ecosystem components at end of simulation}
-\usage{
-finalNOther(sim)
-}
-\arguments{
-\item{sim}{A MizerSim object}
-}
-\value{
-A named list holding the values of other ecosystem components at the
-end of the simulation
-}
-\description{
-Values of other ecosystem components at end of simulation
-}
diff --git a/man/formatExtensionChain.Rd b/man/formatExtensionChain.Rd
new file mode 100644
index 000000000..37ebec8ef
--- /dev/null
+++ b/man/formatExtensionChain.Rd
@@ -0,0 +1,19 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/registerExtensions.R
+\name{formatExtensionChain}
+\alias{formatExtensionChain}
+\title{Format an extension chain as a human-readable string}
+\usage{
+formatExtensionChain(extensions)
+}
+\arguments{
+\item{extensions}{Named character vector of extensions.}
+}
+\value{
+A character string such as \code{"mizerExtB -> mizerExtA"}, or
+\code{"<empty>"} for a zero-length chain.
+}
+\description{
+Format an extension chain as a human-readable string
+}
+\keyword{internal}
diff --git a/man/getComponent.Rd b/man/getComponent.Rd
deleted file mode 100644
index fe281dacc..000000000
--- a/man/getComponent.Rd
+++ /dev/null
@@ -1,24 +0,0 @@
-% Generated by roxygen2: do not edit by hand
-% Please edit documentation in R/extension.R
-\name{getComponent}
-\alias{getComponent}
-\title{Get information about other ecosystem components}
-\usage{
-getComponent(params, component)
-}
-\arguments{
-\item{params}{A MizerParams object}
-
-\item{component}{Name of the component of interest. If missing, a list of
-all components will be returned.}
-}
-\value{
-A list with the entries \code{initial_value}, \code{dynamics_fun},
-\code{encounter_fun}, \code{mort_fun}, \code{component_params} for the requested
-component. If the requested component does not exist, \code{NULL} is returned.
-If no \code{component} argument is given, then a list of lists for all
-components is returned.
-}
-\description{
-Get information about other ecosystem components
-}
diff --git a/man/getEncounter.Rd b/man/getEncounter.Rd
index 5c7b08a37..ca140a5b8 100644
--- a/man/getEncounter.Rd
+++ b/man/getEncounter.Rd
@@ -77,12 +77,21 @@ If your model contains additional components that you added with
 the encounters of these components will be included in the returned value.
 }
 
+\section{Extension hook}{
+
+\code{projectEncounter()} is the S3 generic used by extension-aware projections.
+Extension packages can add methods for their marker classes and call
+\code{NextMethod()} to compose encounter-rate changes. The \code{MizerParams} method
+contains the standard mizer calculation and is also exported as
+\code{mizerEncounter()} for compatibility.
+}
+
 \section{Your own encounter function}{
 
-By default \code{\link[=getEncounter]{getEncounter()}} calls \code{\link[=mizerEncounter]{mizerEncounter()}}. However you can
-replace this with your own alternative encounter function. If
-your function is called \code{"myEncounter"} then you register it in a MizerParams
-object \code{params} with
+By default \code{\link[=getEncounter]{getEncounter()}} calls \code{\link[=mizerEncounter]{mizerEncounter()}} on models without
+extensions. However you can replace this with your own alternative encounter
+function. If your function is called \code{"myEncounter"} then you register it in
+a MizerParams object \code{params} with
 
 \if{html}{\out{<div class="sourceCode">}}\preformatted{params <- setRateFunction(params, "Encounter", "myEncounter")
 }\if{html}{\out{</div>}}
diff --git a/man/getRates.Rd b/man/getRates.Rd
index 1580058b9..f8357dd23 100644
--- a/man/getRates.Rd
+++ b/man/getRates.Rd
@@ -37,6 +37,11 @@ List of rates.
 }
 \description{
 Calls other rate functions in sequence and collects the results in a list.
+
+\code{projectRates()} is an S3 generic used by extension-aware
+projections to calculate all rates. Models without extensions keep using
+\code{\link[=mizerRates]{mizerRates()}} directly. The base method mirrors \code{\link[=mizerRates]{mizerRates()}} but calls
+migrated projection hooks directly, starting with \code{\link[=projectEncounter]{projectEncounter()}}.
 }
 \details{
 By default this function returns a list with the following components:
diff --git a/man/getRegisteredExtensions.Rd b/man/getRegisteredExtensions.Rd
new file mode 100644
index 000000000..091b0b0a1
--- /dev/null
+++ b/man/getRegisteredExtensions.Rd
@@ -0,0 +1,30 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/registerExtensions.R
+\name{getRegisteredExtensions}
+\alias{getRegisteredExtensions}
+\title{Get the registered mizer extension chain}
+\usage{
+getRegisteredExtensions()
+}
+\value{
+A named character vector giving the maximal extension chain
+registered for this R session.
+}
+\description{
+Get the registered mizer extension chain
+}
+\seealso{
+"Using mizer extension packages":
+\code{vignette("using-extension-packages", package = "mizer")}
+
+Other extension tools:
+\code{\link[=NOther]{NOther()}},
+\code{\link[=clearExtensionChain]{clearExtensionChain()}},
+\code{\link[=coerceToExtensionClass]{coerceToExtensionClass()}},
+\code{\link[=initialNOther<-]{initialNOther<-()}},
+\code{\link[=registerExtension]{registerExtension()}},
+\code{\link[=registerExtensions]{registerExtensions()}},
+\code{\link[=setComponent]{setComponent()}},
+\code{\link[=setRateFunction]{setRateFunction()}}
+}
+\concept{extension tools}
diff --git a/man/getTrophicLevel.Rd b/man/getTrophicLevel.Rd
index 5a5983686..11d1e3f80 100644
--- a/man/getTrophicLevel.Rd
+++ b/man/getTrophicLevel.Rd
@@ -21,6 +21,8 @@ getTrophicLevel(
 
 \item{n_other}{A list of abundances for other dynamical components of the
 ecosystem}
+
+\item{...}{Unused}
 }
 \value{
 An \code{ArraySpeciesBySize} object (species x size) with the trophic
diff --git a/man/getTrophicLevelBySpecies.Rd b/man/getTrophicLevelBySpecies.Rd
index 1be37af14..0c6c79785 100644
--- a/man/getTrophicLevelBySpecies.Rd
+++ b/man/getTrophicLevelBySpecies.Rd
@@ -21,6 +21,8 @@ getTrophicLevelBySpecies(
 
 \item{n_other}{A list of abundances for other dynamical components of the
 ecosystem}
+
+\item{...}{Unused}
 }
 \value{
 A named vector with the mean trophic level for each species.
diff --git a/man/initialNOther-set.Rd b/man/initialNOther-set.Rd
index 8e0b5647f..383d15bb0 100644
--- a/man/initialNOther-set.Rd
+++ b/man/initialNOther-set.Rd
@@ -26,4 +26,15 @@ Values used as starting values for simulations with \code{project()}.
 }
 \seealso{
 \code{\link[=initialNResource]{initialNResource()}}, \code{\link[=initialN]{initialN()}}
+
+Other extension tools:
+\code{\link[=NOther]{NOther()}},
+\code{\link[=clearExtensionChain]{clearExtensionChain()}},
+\code{\link[=coerceToExtensionClass]{coerceToExtensionClass()}},
+\code{\link[=getRegisteredExtensions]{getRegisteredExtensions()}},
+\code{\link[=registerExtension]{registerExtension()}},
+\code{\link[=registerExtensions]{registerExtensions()}},
+\code{\link[=setComponent]{setComponent()}},
+\code{\link[=setRateFunction]{setRateFunction()}}
 }
+\concept{extension tools}
diff --git a/man/isSuffixChain.Rd b/man/isSuffixChain.Rd
new file mode 100644
index 000000000..41d4dcf15
--- /dev/null
+++ b/man/isSuffixChain.Rd
@@ -0,0 +1,21 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/registerExtensions.R
+\name{isSuffixChain}
+\alias{isSuffixChain}
+\title{Test whether one extension chain is a suffix of another}
+\usage{
+isSuffixChain(candidate, chain)
+}
+\arguments{
+\item{candidate}{Named character vector to test.}
+
+\item{chain}{Named character vector that may contain \code{candidate} as a tail.}
+}
+\value{
+\code{TRUE} if \code{candidate} is a suffix of \code{chain}, \code{FALSE} otherwise.
+}
+\description{
+An empty \code{candidate} is always a suffix. Order and values must match
+exactly for the overlapping tail.
+}
+\keyword{internal}
diff --git a/man/isVersionRequirement.Rd b/man/isVersionRequirement.Rd
new file mode 100644
index 000000000..c874ee004
--- /dev/null
+++ b/man/isVersionRequirement.Rd
@@ -0,0 +1,18 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/registerExtensions.R
+\name{isVersionRequirement}
+\alias{isVersionRequirement}
+\title{Test whether a requirement string is a dotted version number}
+\usage{
+isVersionRequirement(requirement)
+}
+\arguments{
+\item{requirement}{Character string.}
+}
+\value{
+\code{TRUE} if \code{requirement} matches \code{"X.Y.Z..."} (digits and dots only).
+}
+\description{
+Test whether a requirement string is a dotted version number
+}
+\keyword{internal}
diff --git a/man/mizerDiffusion.Rd b/man/mizerDiffusion.Rd
index 471b6e6d1..52ef97d48 100644
--- a/man/mizerDiffusion.Rd
+++ b/man/mizerDiffusion.Rd
@@ -2,9 +2,15 @@
 % Please edit documentation in R/diffusion.R
 \name{mizerDiffusion}
 \alias{mizerDiffusion}
+\alias{projectDiffusion}
+\alias{projectDiffusion.MizerParams}
 \title{Calculate diffusion rate}
 \usage{
-mizerDiffusion(params, n, n_pp, n_other, t, feeding_level, ...)
+projectDiffusion(params, n, n_pp, n_other, t = 0, feeding_level, ...)
+
+\method{projectDiffusion}{MizerParams}(params, n, n_pp, n_other, t = 0, feeding_level, ...)
+
+mizerDiffusion(params, n, n_pp, n_other, t = 0, feeding_level, ...)
 }
 \arguments{
 \item{params}{A MizerParams object}
diff --git a/man/mizerEGrowth.Rd b/man/mizerEGrowth.Rd
index 1ac53ca26..4da282607 100644
--- a/man/mizerEGrowth.Rd
+++ b/man/mizerEGrowth.Rd
@@ -2,9 +2,15 @@
 % Please edit documentation in R/project_methods.R
 \name{mizerEGrowth}
 \alias{mizerEGrowth}
+\alias{projectEGrowth}
+\alias{projectEGrowth.MizerParams}
 \title{Get energy rate available for growth needed to project standard mizer model}
 \usage{
-mizerEGrowth(params, n, n_pp, n_other, t, e_repro, e, ...)
+projectEGrowth(params, n, n_pp, n_other, t = 0, e_repro, e, ...)
+
+\method{projectEGrowth}{MizerParams}(params, n, n_pp, n_other, t = 0, e_repro, e, ...)
+
+mizerEGrowth(params, n, n_pp, n_other, t = 0, e_repro, e, ...)
 }
 \arguments{
 \item{params}{A \linkS4class{MizerParams} object}
diff --git a/man/mizerERepro.Rd b/man/mizerERepro.Rd
index f9a75712b..eb7fd42bc 100644
--- a/man/mizerERepro.Rd
+++ b/man/mizerERepro.Rd
@@ -2,10 +2,16 @@
 % Please edit documentation in R/project_methods.R
 \name{mizerERepro}
 \alias{mizerERepro}
+\alias{projectERepro}
+\alias{projectERepro.MizerParams}
 \title{Get energy rate available for reproduction needed to project standard mizer
 model}
 \usage{
-mizerERepro(params, n, n_pp, n_other, t, e, ...)
+projectERepro(params, n, n_pp, n_other, t = 0, e, ...)
+
+\method{projectERepro}{MizerParams}(params, n, n_pp, n_other, t = 0, e, ...)
+
+mizerERepro(params, n, n_pp, n_other, t = 0, e, ...)
 }
 \arguments{
 \item{params}{A \linkS4class{MizerParams} object}
diff --git a/man/mizerEReproAndGrowth.Rd b/man/mizerEReproAndGrowth.Rd
index 10918987f..047a915b2 100644
--- a/man/mizerEReproAndGrowth.Rd
+++ b/man/mizerEReproAndGrowth.Rd
@@ -2,15 +2,39 @@
 % Please edit documentation in R/project_methods.R
 \name{mizerEReproAndGrowth}
 \alias{mizerEReproAndGrowth}
+\alias{projectEReproAndGrowth}
+\alias{projectEReproAndGrowth.MizerParams}
 \title{Get energy rate available for reproduction and growth  needed to project
 standard mizer model}
 \usage{
+projectEReproAndGrowth(
+  params,
+  n,
+  n_pp,
+  n_other,
+  t = 0,
+  encounter,
+  feeding_level,
+  ...
+)
+
+\method{projectEReproAndGrowth}{MizerParams}(
+  params,
+  n,
+  n_pp,
+  n_other,
+  t = 0,
+  encounter,
+  feeding_level,
+  ...
+)
+
 mizerEReproAndGrowth(
   params,
   n,
   n_pp,
   n_other,
-  t,
+  t = 0,
   encounter,
   feeding_level,
   ...
diff --git a/man/mizerEncounter.Rd b/man/mizerEncounter.Rd
index 27f55f3fe..c51b0f697 100644
--- a/man/mizerEncounter.Rd
+++ b/man/mizerEncounter.Rd
@@ -2,9 +2,15 @@
 % Please edit documentation in R/project_methods.R
 \name{mizerEncounter}
 \alias{mizerEncounter}
-\title{Get encounter rate needed to project standard mizer model}
+\alias{projectEncounter}
+\alias{projectEncounter.MizerParams}
+\title{Get encounter rate during projection}
 \usage{
-mizerEncounter(params, n, n_pp, n_other, t, ...)
+projectEncounter(params, n, n_pp, n_other, t = 0, ...)
+
+\method{projectEncounter}{MizerParams}(params, n, n_pp, n_other, t = 0, ...)
+
+mizerEncounter(params, n, n_pp, n_other, t = 0, ...)
 }
 \arguments{
 \item{params}{A \linkS4class{MizerParams} object}
@@ -72,12 +78,21 @@ If your model contains additional components that you added with
 the encounters of these components will be included in the returned value.
 }
 
+\section{Extension hook}{
+
+\code{projectEncounter()} is the S3 generic used by extension-aware projections.
+Extension packages can add methods for their marker classes and call
+\code{NextMethod()} to compose encounter-rate changes. The \code{MizerParams} method
+contains the standard mizer calculation and is also exported as
+\code{mizerEncounter()} for compatibility.
+}
+
 \section{Your own encounter function}{
 
-By default \code{\link[=getEncounter]{getEncounter()}} calls \code{\link[=mizerEncounter]{mizerEncounter()}}. However you can
-replace this with your own alternative encounter function. If
-your function is called \code{"myEncounter"} then you register it in a MizerParams
-object \code{params} with
+By default \code{\link[=getEncounter]{getEncounter()}} calls \code{\link[=mizerEncounter]{mizerEncounter()}} on models without
+extensions. However you can replace this with your own alternative encounter
+function. If your function is called \code{"myEncounter"} then you register it in
+a MizerParams object \code{params} with
 
 \if{html}{\out{<div class="sourceCode">}}\preformatted{params <- setRateFunction(params, "Encounter", "myEncounter")
 }\if{html}{\out{</div>}}
diff --git a/man/mizerFMort.Rd b/man/mizerFMort.Rd
index 33ff6c505..28a24f8f4 100644
--- a/man/mizerFMort.Rd
+++ b/man/mizerFMort.Rd
@@ -2,9 +2,15 @@
 % Please edit documentation in R/project_methods.R
 \name{mizerFMort}
 \alias{mizerFMort}
+\alias{projectFMort}
+\alias{projectFMort.MizerParams}
 \title{Get the total fishing mortality rate from all fishing gears}
 \usage{
-mizerFMort(params, n, n_pp, n_other, t, effort, e_growth, pred_mort, ...)
+projectFMort(params, n, n_pp, n_other, t = 0, effort, e_growth, pred_mort, ...)
+
+\method{projectFMort}{MizerParams}(params, n, n_pp, n_other, t = 0, effort, e_growth, pred_mort, ...)
+
+mizerFMort(params, n, n_pp, n_other, t = 0, effort, e_growth, pred_mort, ...)
 }
 \arguments{
 \item{params}{A \linkS4class{MizerParams} object}
diff --git a/man/mizerFeedingLevel.Rd b/man/mizerFeedingLevel.Rd
index e1b08ea25..62901996c 100644
--- a/man/mizerFeedingLevel.Rd
+++ b/man/mizerFeedingLevel.Rd
@@ -2,9 +2,15 @@
 % Please edit documentation in R/project_methods.R
 \name{mizerFeedingLevel}
 \alias{mizerFeedingLevel}
+\alias{projectFeedingLevel}
+\alias{projectFeedingLevel.MizerParams}
 \title{Get feeding level needed to project standard mizer model}
 \usage{
-mizerFeedingLevel(params, n, n_pp, n_other, t, encounter, ...)
+projectFeedingLevel(params, n, n_pp, n_other, t = 0, encounter, ...)
+
+\method{projectFeedingLevel}{MizerParams}(params, n, n_pp, n_other, t = 0, encounter, ...)
+
+mizerFeedingLevel(params, n, n_pp, n_other, t = 0, encounter, ...)
 }
 \arguments{
 \item{params}{A \linkS4class{MizerParams} object}
diff --git a/man/mizerMort.Rd b/man/mizerMort.Rd
index ea2c5cd2d..0642922d0 100644
--- a/man/mizerMort.Rd
+++ b/man/mizerMort.Rd
@@ -2,9 +2,15 @@
 % Please edit documentation in R/project_methods.R
 \name{mizerMort}
 \alias{mizerMort}
+\alias{projectMort}
+\alias{projectMort.MizerParams}
 \title{Get total mortality rate needed to project standard mizer model}
 \usage{
-mizerMort(params, n, n_pp, n_other, t, f_mort, pred_mort, ...)
+projectMort(params, n, n_pp, n_other, t = 0, f_mort, pred_mort, ...)
+
+\method{projectMort}{MizerParams}(params, n, n_pp, n_other, t = 0, f_mort, pred_mort, ...)
+
+mizerMort(params, n, n_pp, n_other, t = 0, f_mort, pred_mort, ...)
 }
 \arguments{
 \item{params}{A \linkS4class{MizerParams} object}
diff --git a/man/mizerPredMort.Rd b/man/mizerPredMort.Rd
index 7eb7e13db..18ce71380 100644
--- a/man/mizerPredMort.Rd
+++ b/man/mizerPredMort.Rd
@@ -2,9 +2,15 @@
 % Please edit documentation in R/project_methods.R
 \name{mizerPredMort}
 \alias{mizerPredMort}
+\alias{projectPredMort}
+\alias{projectPredMort.MizerParams}
 \title{Get total predation mortality rate needed to project standard mizer model}
 \usage{
-mizerPredMort(params, n, n_pp, n_other, t, pred_rate, ...)
+projectPredMort(params, n, n_pp, n_other, t = 0, pred_rate, ...)
+
+\method{projectPredMort}{MizerParams}(params, n, n_pp, n_other, t = 0, pred_rate, ...)
+
+mizerPredMort(params, n, n_pp, n_other, t = 0, pred_rate, ...)
 }
 \arguments{
 \item{params}{A \linkS4class{MizerParams} object}
diff --git a/man/mizerPredRate.Rd b/man/mizerPredRate.Rd
index bfab30233..c48f74f66 100644
--- a/man/mizerPredRate.Rd
+++ b/man/mizerPredRate.Rd
@@ -2,9 +2,15 @@
 % Please edit documentation in R/project_methods.R
 \name{mizerPredRate}
 \alias{mizerPredRate}
+\alias{projectPredRate}
+\alias{projectPredRate.MizerParams}
 \title{Get predation rate needed to project standard mizer model}
 \usage{
-mizerPredRate(params, n, n_pp, n_other, t, feeding_level, ...)
+projectPredRate(params, n, n_pp, n_other, t = 0, feeding_level, ...)
+
+\method{projectPredRate}{MizerParams}(params, n, n_pp, n_other, t = 0, feeding_level, ...)
+
+mizerPredRate(params, n, n_pp, n_other, t = 0, feeding_level, ...)
 }
 \arguments{
 \item{params}{A \linkS4class{MizerParams} object}
diff --git a/man/mizerRDI.Rd b/man/mizerRDI.Rd
index 56f4d20e2..bef249f88 100644
--- a/man/mizerRDI.Rd
+++ b/man/mizerRDI.Rd
@@ -2,10 +2,16 @@
 % Please edit documentation in R/reproduction.R
 \name{mizerRDI}
 \alias{mizerRDI}
+\alias{projectRDI}
+\alias{projectRDI.MizerParams}
 \title{Get density-independent rate of reproduction needed to project standard
 mizer model}
 \usage{
-mizerRDI(params, n, n_pp, n_other, t, e_growth, mort, e_repro, ...)
+projectRDI(params, n, n_pp, n_other, t = 0, e_growth, mort, e_repro, ...)
+
+\method{projectRDI}{MizerParams}(params, n, n_pp, n_other, t = 0, e_growth, mort, e_repro, ...)
+
+mizerRDI(params, n, n_pp, n_other, t = 0, e_growth, mort, e_repro, ...)
 }
 \arguments{
 \item{params}{A \linkS4class{MizerParams} object}
diff --git a/man/mizerRates.Rd b/man/mizerRates.Rd
index 168e675c8..d57df3316 100644
--- a/man/mizerRates.Rd
+++ b/man/mizerRates.Rd
@@ -2,9 +2,12 @@
 % Please edit documentation in R/project_methods.R
 \name{mizerRates}
 \alias{mizerRates}
+\alias{projectRates}
 \title{Get all rates needed to project standard mizer model}
 \usage{
 mizerRates(params, n, n_pp, n_other, t = 0, effort, rates_fns, ...)
+
+projectRates(params, n, n_pp, n_other, t = 0, effort, rates_fns, ...)
 }
 \arguments{
 \item{params}{A \linkS4class{MizerParams} object}
@@ -32,6 +35,11 @@ List of rates.
 }
 \description{
 Calls other rate functions in sequence and collects the results in a list.
+
+\code{projectRates()} is an S3 generic used by extension-aware
+projections to calculate all rates. Models without extensions keep using
+\code{\link[=mizerRates]{mizerRates()}} directly. The base method mirrors \code{\link[=mizerRates]{mizerRates()}} but calls
+migrated projection hooks directly, starting with \code{\link[=projectEncounter]{projectEncounter()}}.
 }
 \details{
 By default this function returns a list with the following components:
diff --git a/man/mizerResourceMort.Rd b/man/mizerResourceMort.Rd
index 8f8f6d65a..863831daa 100644
--- a/man/mizerResourceMort.Rd
+++ b/man/mizerResourceMort.Rd
@@ -2,10 +2,16 @@
 % Please edit documentation in R/project_methods.R
 \name{mizerResourceMort}
 \alias{mizerResourceMort}
+\alias{projectResourceMort}
+\alias{projectResourceMort.MizerParams}
 \title{Get predation mortality rate for resource needed to project standard mizer
 model}
 \usage{
-mizerResourceMort(params, n, n_pp, n_other, t, pred_rate, ...)
+projectResourceMort(params, n, n_pp, n_other, t = 0, pred_rate, ...)
+
+\method{projectResourceMort}{MizerParams}(params, n, n_pp, n_other, t = 0, pred_rate, ...)
+
+mizerResourceMort(params, n, n_pp, n_other, t = 0, pred_rate, ...)
 }
 \arguments{
 \item{params}{A \linkS4class{MizerParams} object}
diff --git a/man/newMultispeciesParams.Rd b/man/newMultispeciesParams.Rd
index b69c2c4e0..006b26daa 100644
--- a/man/newMultispeciesParams.Rd
+++ b/man/newMultispeciesParams.Rd
@@ -123,7 +123,7 @@ Must be strictly positive.}
 \item{resource_capacity}{Optional. Vector of resource intrinsic carrying
 capacities or coefficient in the power-law for the capacity, see
 "Setting resource dynamics" below.
-The resource capacity must be larger than the resource abundance.}
+The resource capacity must not be smaller than the resource abundance.}
 
 \item{lambda}{Used to set power-law exponent for resource capacity if the
 \code{resource_capacity} argument is given as a single number.}
diff --git a/man/noRDD.Rd b/man/noRDD.Rd
index 4633a37ea..2c1d405b0 100644
--- a/man/noRDD.Rd
+++ b/man/noRDD.Rd
@@ -24,6 +24,7 @@ Other functions calculating density-dependent reproduction rate:
 \code{\link[=RickerRDD]{RickerRDD()}},
 \code{\link[=SheperdRDD]{SheperdRDD()}},
 \code{\link[=constantEggRDI]{constantEggRDI()}},
-\code{\link[=constantRDD]{constantRDD()}}
+\code{\link[=constantRDD]{constantRDD()}},
+\code{\link[=projectRDD]{projectRDD()}}
 }
 \concept{functions calculating density-dependent reproduction rate}
diff --git a/man/objectExtensions.Rd b/man/objectExtensions.Rd
new file mode 100644
index 000000000..370e99be1
--- /dev/null
+++ b/man/objectExtensions.Rd
@@ -0,0 +1,19 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/registerExtensions.R
+\name{objectExtensions}
+\alias{objectExtensions}
+\title{Get the extension chain stored in a mizer object}
+\usage{
+objectExtensions(object)
+}
+\arguments{
+\item{object}{A \code{MizerParams} or \code{MizerSim} object.}
+}
+\value{
+A named character vector of extensions, or an empty character vector
+if the object carries no extensions.
+}
+\description{
+Get the extension chain stored in a mizer object
+}
+\keyword{internal}
diff --git a/man/projectRDD.Rd b/man/projectRDD.Rd
new file mode 100644
index 000000000..11785120d
--- /dev/null
+++ b/man/projectRDD.Rd
@@ -0,0 +1,43 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/reproduction.R
+\name{projectRDD}
+\alias{projectRDD}
+\alias{projectRDD.MizerParams}
+\title{Get density-dependent reproduction rate during projection}
+\usage{
+projectRDD(params, rdi, species_params = params@species_params, t = 0, ...)
+
+\method{projectRDD}{MizerParams}(params, rdi, species_params = params@species_params, t = 0, ...)
+}
+\arguments{
+\item{params}{A MizerParams object.}
+
+\item{rdi}{Vector of density-independent reproduction rates
+\eqn{R_{di}}{R_di} for all species.}
+
+\item{species_params}{A species parameter dataframe. Must contain a column
+\code{R_max} holding the maximum reproduction rate \eqn{R_{max}}{R_max} for each
+species.}
+
+\item{t}{The time for which to do the calculation.}
+
+\item{...}{Unused}
+}
+\value{
+Vector of density-dependent reproduction rates.
+}
+\description{
+S3 generic used by extension-aware projections to calculate the
+density-dependent reproduction rate. The base method calls the selected
+density-dependence function in \code{params@rates_funcs$RDD}.
+}
+\seealso{
+Other functions calculating density-dependent reproduction rate:
+\code{\link[=BevertonHoltRDD]{BevertonHoltRDD()}},
+\code{\link[=RickerRDD]{RickerRDD()}},
+\code{\link[=SheperdRDD]{SheperdRDD()}},
+\code{\link[=constantEggRDI]{constantEggRDI()}},
+\code{\link[=constantRDD]{constantRDD()}},
+\code{\link[=noRDD]{noRDD()}}
+}
+\concept{functions calculating density-dependent reproduction rate}
diff --git a/man/registerExtension.Rd b/man/registerExtension.Rd
new file mode 100644
index 000000000..16f19b3c4
--- /dev/null
+++ b/man/registerExtension.Rd
@@ -0,0 +1,53 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/registerExtensions.R
+\name{registerExtension}
+\alias{registerExtension}
+\title{Register a single mizer extension for this R session}
+\usage{
+registerExtension(name, requirement = NA_character_, install = FALSE)
+}
+\arguments{
+\item{name}{A syntactically valid R name identifying the extension (e.g.
+\code{"mizerExtA"}). This name is used as the S4 marker class name.}
+
+\item{requirement}{A version string, installation specification, or
+\code{NA_character_} (the default). \code{NA_character_} marks an in-development
+extension whose S4 marker class mizer creates automatically. A version
+string such as \code{"1.2.0"} records the minimum required package version.}
+
+\item{install}{Logical. If \code{TRUE}, attempt to install a missing extension
+package.}
+}
+\value{
+The updated extension chain, invisibly.
+}
+\description{
+Prepends one extension to the front of the active extension chain, giving it
+the highest dispatch priority. Designed to be called from a package's
+\code{.onLoad} hook so that the chain grows naturally in load order: the last
+package loaded ends up outermost.
+}
+\details{
+The call is idempotent: if the extension is already registered at any
+position in the chain, the function returns silently without modifying the
+chain. This makes it safe to call from \code{devtools::load_all()}, which
+re-executes \code{.onLoad}.
+}
+\seealso{
+\code{\link[=registerExtensions]{registerExtensions()}} for registering an explicit full chain.
+"Using mizer extension packages":
+\code{vignette("using-extension-packages", package = "mizer")}.
+"Creating a mizer extension package":
+\code{vignette("creating-extension-packages", package = "mizer")}
+
+Other extension tools:
+\code{\link[=NOther]{NOther()}},
+\code{\link[=clearExtensionChain]{clearExtensionChain()}},
+\code{\link[=coerceToExtensionClass]{coerceToExtensionClass()}},
+\code{\link[=getRegisteredExtensions]{getRegisteredExtensions()}},
+\code{\link[=initialNOther<-]{initialNOther<-()}},
+\code{\link[=registerExtensions]{registerExtensions()}},
+\code{\link[=setComponent]{setComponent()}},
+\code{\link[=setRateFunction]{setRateFunction()}}
+}
+\concept{extension tools}
diff --git a/man/registerExtensions.Rd b/man/registerExtensions.Rd
new file mode 100644
index 000000000..564cd967f
--- /dev/null
+++ b/man/registerExtensions.Rd
@@ -0,0 +1,59 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/registerExtensions.R
+\name{registerExtensions}
+\alias{registerExtensions}
+\title{Register mizer extensions for this R session}
+\usage{
+registerExtensions(extensions, install = FALSE)
+}
+\arguments{
+\item{extensions}{A named character vector. Names are extension identifiers.
+Values are version strings, installation specifications, or
+\code{NA_character_}. Installed extensions only participate in S3 dispatch if
+they provide an S4 marker class with the same name. \code{NA_character_} entries
+are treated as in-development dispatch extensions and mizer creates their
+marker classes automatically.}
+
+\item{install}{Logical. If \code{TRUE}, missing or outdated extension packages are
+installed via \code{\link[pak:pkg_install]{pak::pkg_install()}}. Version strings install from CRAN;
+other requirement strings (e.g. \code{"user/repo@v1.2.0"}) are passed directly
+to pak and may refer to GitHub, local paths, or any other pak-supported
+source.}
+}
+\value{
+The active maximal extension chain, invisibly.
+}
+\description{
+Registers an explicit full extension chain for the current R session. The
+order of \code{extensions} is the S3 dispatch order, from outermost to innermost
+extension. For example \code{c(mizerExtB = "1.2.0", mizerExtA = "0.4.1")}
+dispatches to \code{mizerExtB} methods first, then \code{mizerExtA} methods, then base
+mizer methods.
+}
+\details{
+A session can handle objects whose extension chain is a suffix of the
+registered maximal chain. For example, after registering
+\code{c(mizerExtB = "1.2.0", mizerExtA = "0.4.1")}, objects using only
+\code{c(mizerExtA = "0.4.1")} are also valid.
+
+For extension packages that register themselves incrementally from \code{.onLoad},
+use \code{\link[=registerExtension]{registerExtension()}} instead.
+}
+\seealso{
+\code{\link[=registerExtension]{registerExtension()}} for the incremental per-package variant.
+"Using mizer extension packages":
+\code{vignette("using-extension-packages", package = "mizer")}.
+"Creating a mizer extension package":
+\code{vignette("creating-extension-packages", package = "mizer")}
+
+Other extension tools:
+\code{\link[=NOther]{NOther()}},
+\code{\link[=clearExtensionChain]{clearExtensionChain()}},
+\code{\link[=coerceToExtensionClass]{coerceToExtensionClass()}},
+\code{\link[=getRegisteredExtensions]{getRegisteredExtensions()}},
+\code{\link[=initialNOther<-]{initialNOther<-()}},
+\code{\link[=registerExtension]{registerExtension()}},
+\code{\link[=setComponent]{setComponent()}},
+\code{\link[=setRateFunction]{setRateFunction()}}
+}
+\concept{extension tools}
diff --git a/man/resource_logistic.Rd b/man/resource_logistic.Rd
index c5b673787..1a1a2f140 100644
--- a/man/resource_logistic.Rd
+++ b/man/resource_logistic.Rd
@@ -78,8 +78,9 @@ calculated by \code{\link[=getResourceMort]{getResourceMort()}}. It should be ca
 \code{resource_rate} or \code{resource_capacity} and returns a named list with values
 for both. If \code{resource_rate} is supplied it must be at least as large as the
 current mortality at each size. If \code{resource_capacity} is supplied it must be
-greater than the current resource abundance wherever there is positive
-consumption.
+not be less than the current resource abundance. Where it equals the
+current resource abundance and there is positive consumption, it is nudged
+upwards slightly to avoid division by zero.
 }
 \seealso{
 \code{\link[=setResource]{setResource()}}
diff --git a/man/resource_semichemostat.Rd b/man/resource_semichemostat.Rd
index 701bb6740..d13bcc298 100644
--- a/man/resource_semichemostat.Rd
+++ b/man/resource_semichemostat.Rd
@@ -78,8 +78,9 @@ as calculated by \code{\link[=getResourceMort]{getResourceMort()}}. It should be
 \code{resource_rate} or \code{resource_capacity} and returns a named list with values
 for both. If \code{resource_rate} is supplied it must be positive wherever the
 current resource mortality is positive. If \code{resource_capacity} is supplied it
-must be greater than the current resource abundance wherever there is
-positive consumption.
+must not be less than the current resource abundance. Where it equals the
+current resource abundance and there is positive consumption, it is nudged
+upwards slightly to avoid division by zero.
 }
 \seealso{
 \code{\link[=setResource]{setResource()}}
diff --git a/man/saveParams.Rd b/man/saveParams.Rd
index cc06eaa0c..a6aedf646 100644
--- a/man/saveParams.Rd
+++ b/man/saveParams.Rd
@@ -3,28 +3,47 @@
 \name{saveParams}
 \alias{saveParams}
 \alias{readParams}
-\title{Save a MizerParams object to file, and restore it}
+\alias{saveSim}
+\alias{readSim}
+\title{Save and restore mizer objects}
 \usage{
 saveParams(params, file)
 
-readParams(file)
+readParams(file, install_extensions = FALSE)
+
+saveSim(sim, file)
+
+readSim(file, install_extensions = FALSE)
 }
 \arguments{
 \item{params}{A MizerParams object}
 
-\item{file}{The name of the file or a connection where the MizerParams object
-is saved to or read from.}
+\item{file}{The name of the file or a connection where the object is saved
+to or read from.}
+
+\item{install_extensions}{Logical. Should \code{\link[=readParams]{readParams()}} or \code{\link[=readSim]{readSim()}}
+attempt to install missing extension packages before registering the saved
+extension chain?}
+
+\item{sim}{A MizerSim object}
 }
 \value{
-NULL invisibly
+\code{saveParams()} and \code{saveSim()} return NULL invisibly.
+\code{readParams()} returns a MizerParams object. \code{readSim()} returns a MizerSim
+object.
 }
 \description{
 \ifelse{html}{\href{https://lifecycle.r-lib.org/articles/stages.html#experimental}{\figure{lifecycle-experimental.svg}{options: alt='[Experimental]'}}}{\strong{[Experimental]}}
 \code{saveParams()} saves a MizerParams object to a file. This can then be
-restored with \code{readParams()}.
+restored with \code{readParams()}. \code{saveSim()} and \code{readSim()} provide the same
+lifecycle for MizerSim objects.
 }
 \details{
 Issues a warning if the model you are saving relies on some custom functions.
 Before saving a model you may want to set its metadata with
 \code{\link[=setMetadata]{setMetadata()}}.
 }
+\seealso{
+"Using mizer extension packages":
+\code{vignette("using-extension-packages", package = "mizer")}
+}
diff --git a/man/setComponent.Rd b/man/setComponent.Rd
index 377210b0a..e6d00cc96 100644
--- a/man/setComponent.Rd
+++ b/man/setComponent.Rd
@@ -3,6 +3,7 @@
 \name{setComponent}
 \alias{setComponent}
 \alias{removeComponent}
+\alias{getComponent}
 \title{Add a dynamical ecosystem component}
 \usage{
 setComponent(
@@ -18,11 +19,14 @@ setComponent(
 )
 
 removeComponent(params, component)
+
+getComponent(params, component)
 }
 \arguments{
 \item{params}{A MizerParams object}
 
-\item{component}{Name of the component}
+\item{component}{Name of the component of interest. If missing, a list of
+all components will be returned.}
 
 \item{initial_value}{Initial value of the component}
 
@@ -45,6 +49,12 @@ functions. This could for example be a named list of parameters. Optional.}
 }
 \value{
 The updated MizerParams object
+
+For \code{getComponent}: A list with the entries \code{initial_value}, \code{dynamics_fun},
+\code{encounter_fun}, \code{mort_fun}, \code{component_params} for the requested
+component. If the requested component does not exist, \code{NULL} is returned.
+If no \code{component} argument is given, then a list of lists for all
+components is returned.
 }
 \description{
 By default, mizer models any number of size-resolved consumer species
@@ -63,3 +73,18 @@ the \code{initial_value} and \code{dynamics_fun} are overwritten, while the opti
 corresponding arguments are supplied. You can remove a component with
 \code{removeComponent()}.
 }
+\seealso{
+"Extending mizer":
+\code{vignette("extending-mizer", package = "mizer")}
+
+Other extension tools:
+\code{\link[=NOther]{NOther()}},
+\code{\link[=clearExtensionChain]{clearExtensionChain()}},
+\code{\link[=coerceToExtensionClass]{coerceToExtensionClass()}},
+\code{\link[=getRegisteredExtensions]{getRegisteredExtensions()}},
+\code{\link[=initialNOther<-]{initialNOther<-()}},
+\code{\link[=registerExtension]{registerExtension()}},
+\code{\link[=registerExtensions]{registerExtensions()}},
+\code{\link[=setRateFunction]{setRateFunction()}}
+}
+\concept{extension tools}
diff --git a/man/setRateFunction.Rd b/man/setRateFunction.Rd
index fa32346bb..b451c1f3c 100644
--- a/man/setRateFunction.Rd
+++ b/man/setRateFunction.Rd
@@ -94,3 +94,18 @@ Note that your own rate functions need to be defined in the global
 environment or in a package. If they are defined within a function then
 mizer will not find them.
 }
+\seealso{
+"Extending mizer":
+\code{vignette("extending-mizer", package = "mizer")}
+
+Other extension tools:
+\code{\link[=NOther]{NOther()}},
+\code{\link[=clearExtensionChain]{clearExtensionChain()}},
+\code{\link[=coerceToExtensionClass]{coerceToExtensionClass()}},
+\code{\link[=getRegisteredExtensions]{getRegisteredExtensions()}},
+\code{\link[=initialNOther<-]{initialNOther<-()}},
+\code{\link[=registerExtension]{registerExtension()}},
+\code{\link[=registerExtensions]{registerExtensions()}},
+\code{\link[=setComponent]{setComponent()}}
+}
+\concept{extension tools}
diff --git a/man/setResource.Rd b/man/setResource.Rd
index becbfb41b..7331600e1 100644
--- a/man/setResource.Rd
+++ b/man/setResource.Rd
@@ -52,11 +52,12 @@ Must be strictly positive.}
 \item{resource_capacity}{Optional. Vector of resource intrinsic carrying
 capacities or coefficient in the power-law for the capacity, see
 "Setting resource dynamics" below.
-The resource capacity must be larger than the resource abundance.}
+The resource capacity must not be smaller than the resource abundance.}
 
 \item{resource_level}{Optional. The ratio between the current resource number
 density and the resource capacity. Either a number used at all sizes or a
-vector specifying a value for each size. Must be strictly between 0 and 1,
+vector specifying a value for each size. Must be greater than 0 and at
+most 1,
 except at sizes where the resource is zero, where it can be \code{NaN}. This
 determines the resource capacity, so do not specify both this and
 \code{resource_capacity}.}
diff --git a/man/simExtensionClass.Rd b/man/simExtensionClass.Rd
new file mode 100644
index 000000000..49122ee2a
--- /dev/null
+++ b/man/simExtensionClass.Rd
@@ -0,0 +1,18 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/registerExtensions.R
+\name{simExtensionClass}
+\alias{simExtensionClass}
+\title{Derive the MizerSim marker class name for a given extension}
+\usage{
+simExtensionClass(extension)
+}
+\arguments{
+\item{extension}{Character string — the extension (params) class name.}
+}
+\value{
+A character string formed by appending \code{"Sim"} to \code{extension}.
+}
+\description{
+Derive the MizerSim marker class name for a given extension
+}
+\keyword{internal}
diff --git a/man/usesExtensionDispatch.Rd b/man/usesExtensionDispatch.Rd
new file mode 100644
index 000000000..16ce2cbff
--- /dev/null
+++ b/man/usesExtensionDispatch.Rd
@@ -0,0 +1,18 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/registerExtensions.R
+\name{usesExtensionDispatch}
+\alias{usesExtensionDispatch}
+\title{Test whether a mizer object uses extension S4 dispatch}
+\usage{
+usesExtensionDispatch(object)
+}
+\arguments{
+\item{object}{A \code{MizerParams} or \code{MizerSim} object.}
+}
+\value{
+\code{TRUE} if the object's primary class is not the plain base class.
+}
+\description{
+Test whether a mizer object uses extension S4 dispatch
+}
+\keyword{internal}
diff --git a/man/validateExtensionsVector.Rd b/man/validateExtensionsVector.Rd
new file mode 100644
index 000000000..f486c00cd
--- /dev/null
+++ b/man/validateExtensionsVector.Rd
@@ -0,0 +1,19 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/registerExtensions.R
+\name{validateExtensionsVector}
+\alias{validateExtensionsVector}
+\title{Validate and normalise an extensions named character vector}
+\usage{
+validateExtensionsVector(extensions)
+}
+\arguments{
+\item{extensions}{A named character vector, or \code{NULL}.}
+}
+\value{
+A validated named character vector (possibly length-zero).
+}
+\description{
+Checks that \code{extensions} is a named character vector with unique,
+syntactically valid names, and normalises \code{NULL} to \code{character()}.
+}
+\keyword{internal}
diff --git a/pkgdown/_pkgdown.yml b/pkgdown/_pkgdown.yml
index f7ab80384..24f03a2d6 100644
--- a/pkgdown/_pkgdown.yml
+++ b/pkgdown/_pkgdown.yml
@@ -28,9 +28,6 @@ template:
       site: "@mizer_model"
       card: summary
 
-development:
-  mode: auto
-
 toc:
   depth: 3
 
@@ -75,7 +72,12 @@ articles:
   - plotting
   - predation_diffusion
   - cohort_dynamics_and_diffusion
-  - extensions
+- title: Extending mizer
+  navbar: Extending mizer
+  contents:
+  - extending-mizer
+  - using-extension-packages
+  - creating-extension-packages
 - title: Publications
   navbar: Publications
   contents:
@@ -118,6 +120,7 @@ reference:
   - initial_effort
   - renameGear
   - expandSizeGrid
+  - use_predation_diffusion
 - title: Steady state tuning
   description: The first task after creating a multi-species model is to tune
     the model parameters so that in its steady state the model reproduces
@@ -133,6 +136,7 @@ reference:
   - matchNumbers
   - plotYieldObservedVsModel
   - scaleModel
+  - scaleRates
 - title: Dynamics tuning
   description: After tuning the steady state, you need to tune the sensitivity
     of the dynamics to perturbations away from the steady state. The following
@@ -201,13 +205,15 @@ reference:
   - has_concept("rate functions")
   - getCriticalFeedingLevel
 - title: Extending Mizer
+  desc: See [Extending mizer](https://sizespectrum.org/mizer/articles/extending-mizer.html),
+   [Using mizer extension packages](https://sizespectrum.org/mizer/articles/using-extension-packages.html)
+    and [Creating a mizer extension package](https://sizespectrum.org/mizer/articles/creating-extension-packages.html) for more details.
   contents:
   - setRateFunction
   - setComponent
-  - getComponent
-  - initialNOther
+  - initialNOther<-
   - NOther
-  - finalNOther
+  - has_concept("extension tools")
   - customFunction
 - title: Predation kernels
   contents:
diff --git a/tests/testthat/_snaps/indicator_functions.md b/tests/testthat/_snaps/indicator_functions.md
index 2639f2c92..f384b0040 100644
--- a/tests/testthat/_snaps/indicator_functions.md
+++ b/tests/testthat/_snaps/indicator_functions.md
@@ -3,70 +3,34 @@
     Code
       prop
     Output
-               0        0.5          1        1.5          2        2.5          3 
-      0.26925519 0.01698413 0.03196148 0.20900194 0.44008356 0.63864680 0.77473354 
-             3.5          4        4.5          5        5.5          6        6.5 
-      0.85819401 0.79177149 0.25892592 0.17664525 0.33276549 0.48876696 0.57116942 
-               7        7.5          8        8.5          9        9.5         10 
-      0.39280523 0.14873450 0.07530515 0.06799577 0.08450497 0.10672174 0.12465102 
-            10.5         11       11.5         12       12.5         13       13.5 
-      0.15725916 0.20998563 0.25262044 0.22074698 0.12632169 0.12454533 0.16987230 
-              14       14.5         15       15.5         16       16.5         17 
-      0.21382524 0.18553926 0.09037121 0.11578632 0.18360999 0.25228806 0.26524622 
-            17.5         18       18.5         19       19.5         20 
-      0.10280200 0.07783290 0.12626045 0.19298462 0.24655068 0.19697190 
+               0        0.5          1        1.5          2 
+      0.26925519 0.01698413 0.03196148 0.20900194 0.44008356 
 
 # getMeanWeight works
 
     Code
       mw
     Output
-               0        0.5          1        1.5          2        2.5          3 
-       767.53011   69.09766   69.89657  191.38114  387.59529  634.61024  912.27456 
-             3.5          4        4.5          5        5.5          6        6.5 
-      1202.18388  961.11905   75.07344   57.20683  108.01262  218.11602  287.67786 
-               7        7.5          8        8.5          9        9.5         10 
-        55.77707   35.71154   47.57239   75.14351  112.44499  131.75273  119.90371 
-            10.5         11       11.5         12       12.5         13       13.5 
-       131.73882  173.23466  181.08308   95.14511   72.24514   98.87037  155.70279 
-              14       14.5         15       15.5         16       16.5         17 
-       196.24131   83.83311   69.10626  111.86344  196.49824  307.22162  113.67807 
-            17.5         18       18.5         19       19.5         20 
-        56.97195   84.22200  147.53358  247.48012  243.83835   63.61455 
+              0       0.5         1       1.5         2 
+      767.53011  69.09766  69.89657 191.38114 387.59529 
 
 # getMeanMaxWeight works
 
     Code
       getMeanMaxWeight(sim, measure = "both")
     Output
-         mmw_numbers mmw_biomass
-      0     135.6361    4629.458
-      1     600.1607    1376.281
-      2     843.5139    4406.216
-      3     986.9465    9063.254
-      4    1094.1022   10561.412
-      5    1055.7711    9431.078
-      6    1229.4380    9161.926
-      7    1654.1073    9700.953
-      8    1923.1869    9706.206
-      9    2267.9466    9551.113
-      10   2535.6313    9253.220
+        mmw_numbers mmw_biomass
+      0    135.6361    4629.458
+      1    600.1607    1376.281
+      2    843.5139    4406.216
 
 # getCommunitySlope works
 
     Code
       slope_b3
     Output
-              slope intercept        r2
-      0  -0.2897714  12.23882 0.5625413
-      1  -1.0649175  21.68013 0.7202647
-      2  -0.7952623  22.74183 0.6617018
-      3  -0.6679574  23.11060 0.6872080
-      4  -0.6072763  23.28407 0.7163831
-      5  -0.5920434  23.41886 0.7549412
-      6  -0.6124380  23.73776 0.8142898
-      7  -0.6538982  24.20058 0.8573667
-      8  -0.6789819  24.44596 0.8803066
-      9  -0.7261858  24.76189 0.9085528
-      10 -0.7721135  25.14127 0.9257311
+             slope intercept        r2
+      0 -0.2897714  12.23882 0.5625413
+      1 -1.0649175  21.68013 0.7202647
+      2 -0.7952623  22.74183 0.6617018
 
diff --git a/tests/testthat/_snaps/plots/plot-feeding-level-critical.svg b/tests/testthat/_snaps/plots/plot-feeding-level-critical.svg
deleted file mode 100644
index 3664f9fef..000000000
--- a/tests/testthat/_snaps/plots/plot-feeding-level-critical.svg
+++ /dev/null
@@ -1,75 +0,0 @@
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-  <style type='text/css'><![CDATA[
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-      fill: none;
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index a0a543310..000000000
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-<text x='32.79' y='14.56' style='font-size: 13.20px; font-family: sans;' textLength='132.80px' lengthAdjust='spacingAndGlyphs'>PlotPredation Mortality</text>
-</g>
-</svg>
diff --git a/tests/testthat/_snaps/steady.md b/tests/testthat/_snaps/steady.md
index cc5794533..f2237a99c 100644
--- a/tests/testthat/_snaps/steady.md
+++ b/tests/testthat/_snaps/steady.md
@@ -1,10 +1,8 @@
 # steady works
 
-    c("1" = 1.12523952704717, "2" = 0.378015507865088, "3" = 0.124113039549448, 
-    "4" = 0.0412195862151682)
+    c("1" = 1.4849740688434, "2" = 0.29287846590181)
 
 ---
 
-    c("1" = 1.12523952704717, "2" = 0.378015507865088, "3" = 0.124113039549448, 
-    "4" = 0.0412195862151682)
+    c("1" = 1.4849740688434, "2" = 0.29287846590181)
 
diff --git a/tests/testthat/_snaps/summary_methods.md b/tests/testthat/_snaps/summary_methods.md
index f1f6e6677..f8b8bd4ba 100644
--- a/tests/testthat/_snaps/summary_methods.md
+++ b/tests/testthat/_snaps/summary_methods.md
@@ -6,194 +6,98 @@
       , , sp = Sprat
       
           gear
-      time   Industrial Pelagic Beam Otter
-        0      38044416       0    0     0
-        1     558316006       0    0     0
-        2    8229795127       0    0     0
-        3   16058989646       0    0     0
-        4   84325094857       0    0     0
-        5  220212693088       0    0     0
-        6  203621711108       0    0     0
-        7  126537188612       0    0     0
-        8  103313111309       0    0     0
-        9   76522697786       0    0     0
-        10  42658404945       0    0     0
+      time Industrial Pelagic Beam Otter
+         0   38044416       0    0     0
+         1  558316006       0    0     0
+         2 8229795127       0    0     0
       
       , , sp = Sandeel
       
           gear
       time   Industrial Pelagic Beam Otter
-        0  6.335333e+07       0    0     0
-        1  2.807324e+11       0    0     0
-        2  7.195382e+11       0    0     0
-        3  6.294512e+11       0    0     0
-        4  8.923957e+11       0    0     0
-        5  1.173624e+12       0    0     0
-        6  1.196270e+12       0    0     0
-        7  1.125332e+12       0    0     0
-        8  1.105297e+12       0    0     0
-        9  1.057050e+12       0    0     0
-        10 1.000944e+12       0    0     0
+         0     63353332       0    0     0
+         1 280732384345       0    0     0
+         2 719538179316       0    0     0
       
       , , sp = N.pout
       
           gear
       time   Industrial Pelagic Beam Otter
-        0      50722662       0    0     0
-        1  211366746964       0    0     0
-        2  279313741500       0    0     0
-        3   32400674242       0    0     0
-        4   36414157660       0    0     0
-        5   94203749139       0    0     0
-        6  112115105533       0    0     0
-        7   86795893755       0    0     0
-        8   93190701456       0    0     0
-        9   92635220566       0    0     0
-        10  91443894802       0    0     0
+         0     50722662       0    0     0
+         1 211366746964       0    0     0
+         2 279313741500       0    0     0
       
       , , sp = Herring
       
           gear
       time Industrial      Pelagic Beam Otter
-        0           0     30658037    0     0
-        1           0   5477035839    0     0
-        2           0 240269222872    0     0
-        3           0 235093127613    0     0
-        4           0  76831870661    0     0
-        5           0 128476347684    0     0
-        6           0 355665239270    0     0
-        7           0 398695209111    0     0
-        8           0 295869946271    0     0
-        9           0 282052687956    0     0
-        10          0 276057839734    0     0
+         0          0     30658037    0     0
+         1          0   5477035839    0     0
+         2          0 240269222872    0     0
       
       , , sp = Dab
       
           gear
       time Industrial Pelagic        Beam Otter
-        0           0       0    45365320     0
-        1           0       0 22400577006     0
-        2           0       0 57675462778     0
-        3           0       0 18780950158     0
-        4           0       0 11895946615     0
-        5           0       0 19121152098     0
-        6           0       0 19328258770     0
-        7           0       0 15198687290     0
-        8           0       0 12828931523     0
-        9           0       0  9618321181     0
-        10          0       0  7652198488     0
+         0          0       0    45365320     0
+         1          0       0 22400577006     0
+         2          0       0 57675462778     0
       
       , , sp = Whiting
       
           gear
       time Industrial Pelagic Beam        Otter
-        0           0       0    0     43093552
-        1           0       0    0   7240286452
-        2           0       0    0 109460814009
-        3           0       0    0  61917376550
-        4           0       0    0  39948194825
-        5           0       0    0 118403971086
-        6           0       0    0 164075894541
-        7           0       0    0 133905073930
-        8           0       0    0 127357779567
-        9           0       0    0 120665336278
-        10          0       0    0 116817508835
+         0          0       0    0     43093552
+         1          0       0    0   7240286452
+         2          0       0    0 109460814009
       
       , , sp = Sole
       
           gear
-      time Industrial Pelagic         Beam Otter
-        0           0       0     42294188     0
-        1           0       0    843009366     0
-        2           0       0  25800180144     0
-        3           0       0  82833388096     0
-        4           0       0  86869817350     0
-        5           0       0 117785662356     0
-        6           0       0 178627553633     0
-        7           0       0 183203100846     0
-        8           0       0 139592183973     0
-        9           0       0 112279353114     0
-        10          0       0 103421881515     0
+      time Industrial Pelagic        Beam Otter
+         0          0       0    42294188     0
+         1          0       0   843009366     0
+         2          0       0 25800180144     0
       
       , , sp = Gurnard
       
           gear
       time Industrial Pelagic Beam       Otter
-        0           0       0    0    41047176
-        1           0       0    0  1631749055
-        2           0       0    0 12238303048
-        3           0       0    0  4724782150
-        4           0       0    0  4383508244
-        5           0       0    0 17317077547
-        6           0       0    0 38324622639
-        7           0       0    0 38547946693
-        8           0       0    0 35567923285
-        9           0       0    0 40503456595
-        10          0       0    0 41969161780
+         0          0       0    0    41047176
+         1          0       0    0  1631749055
+         2          0       0    0 12238303048
       
       , , sp = Plaice
       
           gear
-      time Industrial Pelagic         Beam Otter
-        0           0       0     37989527     0
-        1           0       0     18734282     0
-        2           0       0    157323296     0
-        3           0       0    758391480     0
-        4           0       0    884584319     0
-        5           0       0   2047420621     0
-        6           0       0  13379631135     0
-        7           0       0  39170803422     0
-        8           0       0  70604173632     0
-        9           0       0 169757646571     0
-        10          0       0 393502381428     0
+      time Industrial Pelagic      Beam Otter
+         0          0       0  37989527     0
+         1          0       0  18734282     0
+         2          0       0 157323296     0
       
       , , sp = Haddock
       
           gear
       time Industrial Pelagic Beam        Otter
-        0           0       0    0 3.550657e+07
-        1           0       0    0 4.693011e+10
-        2           0       0    0 1.318105e+12
-        3           0       0    0 1.360711e+12
-        4           0       0    0 6.469540e+11
-        5           0       0    0 3.490267e+11
-        6           0       0    0 3.727775e+11
-        7           0       0    0 4.299409e+11
-        8           0       0    0 3.611812e+11
-        9           0       0    0 3.517122e+11
-        10          0       0    0 3.959557e+11
+         0          0       0    0 3.550657e+07
+         1          0       0    0 4.693011e+10
+         2          0       0    0 1.318105e+12
       
       , , sp = Cod
       
           gear
       time Industrial Pelagic Beam        Otter
-        0           0       0    0     28430360
-        1           0       0    0    346033675
-        2           0       0    0 101364440036
-        3           0       0    0 412920782014
-        4           0       0    0 493468900737
-        5           0       0    0 447568478029
-        6           0       0    0 474874102324
-        7           0       0    0 550299321303
-        8           0       0    0 585450761600
-        9           0       0    0 576043900031
-        10          0       0    0 558075401042
+         0          0       0    0     28430360
+         1          0       0    0    346033675
+         2          0       0    0 101364440036
       
       , , sp = Saithe
       
           gear
-      time Industrial Pelagic Beam        Otter
-        0           0       0    0     24170110
-        1           0       0    0     21712974
-        2           0       0    0   3378214617
-        3           0       0    0  27617463179
-        4           0       0    0 362749754076
-        5           0       0    0 775185663285
-        6           0       0    0 639993286233
-        7           0       0    0 564958065619
-        8           0       0    0 575572485756
-        9           0       0    0 555930832387
-        10          0       0    0 543246652629
+      time Industrial Pelagic Beam      Otter
+         0          0       0    0   24170110
+         1          0       0    0   21712974
+         2          0       0    0 3378214617
       
 
 # getYield works
@@ -201,19 +105,19 @@
     Code
       y
     Output
-      Yield rate (11 times x 12 species) [g/year] 
-        Sprat: min=3.8e+07 mean=8.02e+10 max=2.2e+11
-        Sandeel: min=63400000 mean=8.35e+11 max=1.2e+12
-        N.pout: min=50700000 mean=1.03e+11 max=2.79e+11
-        Herring: min=30700000 mean=2.09e+11 max=3.99e+11
-        Dab: min=45400000 mean=1.77e+10 max=5.77e+10
-        Whiting: min=43100000 mean=9.09e+10 max=1.64e+11
-        Sole: min=42300000 mean=9.38e+10 max=1.83e+11
-        Gurnard: min=4.1e+07 mean=2.14e+10 max=4.2e+10
-        Plaice: min=18700000 mean=6.28e+10 max=3.94e+11
-        Haddock: min=35500000 mean=5.12e+11 max=1.36e+12
-        Cod: min=28400000 mean=3.82e+11 max=5.85e+11
-        Saithe: min=21700000 mean=3.68e+11 max=7.75e+11
+      Yield rate (3 times x 12 species) [g/year] 
+        Sprat: min=3.8e+07 mean=2.94e+09 max=8.23e+09
+        Sandeel: min=63400000 mean=3.33e+11 max=7.2e+11
+        N.pout: min=50700000 mean=1.64e+11 max=2.79e+11
+        Herring: min=30700000 mean=8.19e+10 max=2.4e+11
+        Dab: min=45400000 mean=2.67e+10 max=5.77e+10
+        Whiting: min=43100000 mean=3.89e+10 max=1.09e+11
+        Sole: min=42300000 mean=8.9e+09 max=2.58e+10
+        Gurnard: min=4.1e+07 mean=4.64e+09 max=1.22e+10
+        Plaice: min=18700000 mean=71300000 max=1.57e+08
+        Haddock: min=35500000 mean=4.55e+11 max=1.32e+12
+        Cod: min=28400000 mean=3.39e+10 max=1.01e+11
+        Saithe: min=21700000 mean=1.14e+09 max=3.38e+09
 
 # getDiet works with proportion = FALSE
 
@@ -4034,55 +3938,55 @@
     Code
       ssb
     Output
-      Spawning stock biomass (11 times x 12 species) [g] 
-        Sprat: min=37100000 mean=7.59e+10 max=2.07e+11
-        Sandeel: min=62700000 mean=8.15e+11 max=1.17e+12
-        N.pout: min=49700000 mean=9.57e+10 max=2.71e+11
-        Herring: min=31600000 mean=2.31e+11 max=4.32e+11
-        Dab: min=45400000 mean=1.78e+10 max=5.76e+10
-        Whiting: min=4.3e+07 mean=9.01e+10 max=1.62e+11
-        Sole: min=42100000 mean=8.88e+10 max=1.74e+11
-        Gurnard: min=40900000 mean=1.99e+10 max=3.92e+10
-        Plaice: min=19900000 mean=6.51e+10 max=4.03e+11
-        Haddock: min=35400000 mean=4.88e+11 max=1.33e+12
-        Cod: min=28300000 mean=3.76e+11 max=5.78e+11
-        Saithe: min=2.3e+07 mean=3.65e+11 max=7.65e+11
+      Spawning stock biomass (3 times x 12 species) [g] 
+        Sprat: min=37100000 mean=2.81e+09 max=7.81e+09
+        Sandeel: min=62700000 mean=3.21e+11 max=7.02e+11
+        N.pout: min=49700000 mean=1.54e+11 max=2.71e+11
+        Herring: min=31600000 mean=9.28e+10 max=2.71e+11
+        Dab: min=45400000 mean=2.69e+10 max=5.76e+10
+        Whiting: min=4.3e+07 mean=3.84e+10 max=1.08e+11
+        Sole: min=42100000 mean=8.43e+09 max=2.44e+10
+        Gurnard: min=40900000 mean=4.26e+09 max=1.12e+10
+        Plaice: min=19900000 mean=86500000 max=2.02e+08
+        Haddock: min=35400000 mean=4.14e+11 max=1.2e+12
+        Cod: min=28300000 mean=3.18e+10 max=9.51e+10
+        Saithe: min=2.3e+07 mean=1.12e+09 max=3.33e+09
 
 # getBiomass works
 
     Code
       biomass
     Output
-      Biomass (11 times x 12 species) [g] 
-        Sprat: min=65500000 mean=2.4e+11 max=5.86e+11
-        Sandeel: min=70700000 mean=9.63e+11 max=1.34e+12
-        N.pout: min=64100000 mean=3.87e+11 max=8.84e+11
-        Herring: min=47300000 mean=7.44e+11 max=1.29e+12
-        Dab: min=4.9e+07 mean=2.71e+10 max=6.93e+10
-        Whiting: min=45900000 mean=1.89e+11 max=2.95e+11
-        Sole: min=46400000 mean=2.22e+11 max=3.87e+11
-        Gurnard: min=43800000 mean=1.15e+11 max=1.83e+11
-        Plaice: min=39400000 mean=5.03e+11 max=2.08e+12
-        Haddock: min=36900000 mean=9.59e+11 max=2.12e+12
-        Cod: min=29500000 mean=4.52e+11 max=6.67e+11
-        Saithe: min=24900000 mean=5.78e+11 max=9.41e+11
+      Biomass (3 times x 12 species) [g] 
+        Sprat: min=65500000 mean=2.79e+10 max=6.99e+10
+        Sandeel: min=70700000 mean=4.26e+11 max=8.33e+11
+        N.pout: min=64100000 mean=4.27e+11 max=8.84e+11
+        Herring: min=47300000 mean=2.77e+11 max=6.63e+11
+        Dab: min=4.9e+07 mean=4.05e+10 max=6.93e+10
+        Whiting: min=45900000 mean=8.19e+10 max=1.73e+11
+        Sole: min=46400000 mean=7.07e+10 max=1.79e+11
+        Gurnard: min=43800000 mean=2.16e+10 max=4.08e+10
+        Plaice: min=39400000 mean=3.64e+09 max=7.14e+09
+        Haddock: min=36900000 mean=8.93e+11 max=2.12e+12
+        Cod: min=29500000 mean=7.72e+10 max=2.23e+11
+        Saithe: min=24900000 mean=2.19e+10 max=6.52e+10
 
 # getN works
 
     Code
       N
     Output
-      Abundance (11 times x 12 species) 
-        Sprat: min=23700000 mean=2.29e+11 max=3.82e+11
-        Sandeel: min=21900000 mean=2.49e+11 max=3.06e+11
-        N.pout: min=7620000 mean=1.08e+12 max=1.27e+12
-        Herring: min=2140000 mean=1.96e+11 max=2.7e+11
-        Dab: min=2220000 mean=3.79e+09 max=7.91e+09
-        Whiting: min=569000 mean=8.54e+10 max=1.15e+11
-        Sole: min=794000 mean=1.83e+10 max=2.68e+10
-        Gurnard: min=1040000 mean=1.86e+11 max=2.73e+11
-        Plaice: min=216000 mean=1.53e+12 max=8.28e+12
-        Haddock: min=145000 mean=2.05e+11 max=2.63e+11
-        Cod: min=13700 mean=1.49e+09 max=1.89e+09
-        Saithe: min=13700 mean=1.99e+10 max=2.66e+10
+      Abundance (3 times x 12 species) 
+        Sprat: min=23700000 mean=8.82e+10 max=2.3e+11
+        Sandeel: min=21900000 mean=1.63e+11 max=2.48e+11
+        N.pout: min=7620000 mean=8.38e+11 max=1.27e+12
+        Herring: min=2140000 mean=1.06e+11 max=1.98e+11
+        Dab: min=2220000 mean=4.33e+09 max=7.91e+09
+        Whiting: min=569000 mean=5.09e+10 max=8.79e+10
+        Sole: min=794000 mean=1.21e+10 max=2.42e+10
+        Gurnard: min=1040000 mean=6.86e+10 max=1.74e+11
+        Plaice: min=216000 mean=1.99e+09 max=3.94e+09
+        Haddock: min=145000 mean=1.29e+11 max=2e+11
+        Cod: min=13700 mean=8.08e+08 max=1.57e+09
+        Saithe: min=13700 mean=5.94e+09 max=1.77e+10
 
diff --git a/tests/testthat/test-MizerSim-class.R b/tests/testthat/test-MizerSim-class.R
index 62a375616..538a6f8da 100644
--- a/tests/testthat/test-MizerSim-class.R
+++ b/tests/testthat/test-MizerSim-class.R
@@ -1,4 +1,5 @@
 params <- newMultispeciesParams(NS_species_params_gears, inter, info_level = 0)
+short_ns_sim <- project(NS_params, t_max = 0.2, t_save = 0.1)
 
 # basic constructor sets dimensions properly ----
 test_that("basic constructor sets dimensions properly", {
@@ -48,7 +49,7 @@ test_that("basic constructor sets dimensions properly", {
 })
 
 test_that("validSim works", {
-    sim <- project(NS_params, t_max = 0.2, t_save = 0.1)
+    sim <- short_ns_sim
     sim@n[3, 1, 1] <- Inf
     expect_warning(simt <- validSim(sim),
                    "The simulation failed to work beyond time = 0.1")
@@ -62,7 +63,7 @@ test_that("validSim works", {
 })
 
 test_that("validSim also validates embedded params", {
-    sim <- project(NS_params, t_max = 0.2, t_save = 0.1)
+    sim <- short_ns_sim
     sim@params@species_params$w_min[1] <- 1e-10
     expect_warning(sim2 <- validSim(sim), "smaller than the minimum")
     expect_equal(sim2@params@w_min_idx[[1]], 1)
diff --git a/tests/testthat/test-animateSpectra.R b/tests/testthat/test-animateSpectra.R
index a7edc25f3..de8e7e51c 100644
--- a/tests/testthat/test-animateSpectra.R
+++ b/tests/testthat/test-animateSpectra.R
@@ -1,5 +1,13 @@
+example_animate_sim <- project(example_params(), t_max = 2, t_save = 1,
+                               effort = 1)
+example_animate_long_sim <- project(example_params(), t_max = 5, t_save = 1,
+                                    effort = 1)
+example_animate_high_effort_sim <- project(example_params(), t_max = 2,
+                                           t_save = 1, effort = 10)
+ns_animate_sim <- project(NS_params, t_max = 2, t_save = 1, effort = 1)
+
 test_that("animateSpectra does not throw error", {
-    sim <- project(example_params(), t_max = 2, t_save = 1, effort = 1)
+    sim <- example_animate_sim
     sp <- sim@params@species_params$species
     expect_error(animateSpectra(sim, species = sp[1:2],
                                 time_range = c(1, 2),
@@ -11,13 +19,13 @@ test_that("animateSpectra does not throw error", {
 })
 
 test_that("animateSpectra returns a plotly object", {
-    sim <- project(example_params(), t_max = 2, t_save = 1, effort = 1)
+    sim <- example_animate_sim
     result <- animateSpectra(sim, time_range = c(1, 2))
     expect_s3_class(result, "plotly")
 })
 
 test_that("animateSpectra handles species parameter correctly", {
-    sim <- project(example_params(), t_max = 2, t_save = 1, effort = 1)
+    sim <- example_animate_sim
 
     # Test with specific species
     sp <- sim@params@species_params$species
@@ -34,7 +42,7 @@ test_that("animateSpectra handles species parameter correctly", {
 })
 
 test_that("animateSpectra handles time_range parameter correctly", {
-    sim <- project(example_params(), t_max = 5, t_save = 1, effort = 1)
+    sim <- example_animate_long_sim
 
     # Test with min/max vector
     expect_error(animateSpectra(sim, time_range = c(1, 3)), NA)
@@ -47,7 +55,7 @@ test_that("animateSpectra handles time_range parameter correctly", {
 })
 
 test_that("animateSpectra handles wlim parameter with NA values", {
-    sim <- project(example_params(), t_max = 2, t_save = 1, effort = 1)
+    sim <- example_animate_sim
 
     # Test with both NA (should use defaults)
     expect_error(animateSpectra(sim, wlim = c(NA, NA), time_range = c(1, 2)), NA)
@@ -63,7 +71,7 @@ test_that("animateSpectra handles wlim parameter with NA values", {
 })
 
 test_that("animateSpectra handles ylim parameter with NA values", {
-    sim <- project(example_params(), t_max = 2, t_save = 1, effort = 1)
+    sim <- example_animate_sim
 
     # Test with both NA (should use defaults)
     expect_error(animateSpectra(sim, ylim = c(NA, NA), time_range = c(1, 2)), NA)
@@ -79,7 +87,7 @@ test_that("animateSpectra handles ylim parameter with NA values", {
 })
 
 test_that("animateSpectra handles power parameter correctly", {
-    sim <- project(example_params(), t_max = 2, t_save = 1, effort = 1)
+    sim <- example_animate_sim
 
     # Test with power = 0 (Number density)
     result <- animateSpectra(sim, power = 0, time_range = c(1, 2))
@@ -99,7 +107,7 @@ test_that("animateSpectra handles power parameter correctly", {
 })
 
 test_that("animateSpectra handles total parameter correctly", {
-    sim <- project(example_params(), t_max = 2, t_save = 1, effort = 1)
+    sim <- example_animate_sim
 
     # Test with total = FALSE (default)
     result <- animateSpectra(sim, total = FALSE, time_range = c(1, 2))
@@ -111,7 +119,7 @@ test_that("animateSpectra handles total parameter correctly", {
 })
 
 test_that("animateSpectra handles resource parameter correctly", {
-    sim <- project(example_params(), t_max = 2, t_save = 1, effort = 1)
+    sim <- example_animate_sim
 
     # Test with resource = TRUE (default)
     result <- animateSpectra(sim, resource = TRUE, time_range = c(1, 2))
@@ -123,7 +131,7 @@ test_that("animateSpectra handles resource parameter correctly", {
 })
 
 test_that("animateSpectra validates input parameters", {
-    sim <- project(example_params(), t_max = 2, t_save = 1, effort = 1)
+    sim <- example_animate_sim
 
     # Test invalid wlim length
     expect_error(animateSpectra(sim, wlim = c(1), time_range = c(1, 2)))
@@ -135,7 +143,7 @@ test_that("animateSpectra validates input parameters", {
 })
 
 test_that("animateSpectra uses consistent colors matching linecolour", {
-    sim <- project(example_params(), t_max = 2, t_save = 1, effort = 1)
+    sim <- example_animate_sim
 
     # Get the result
     sp <- sim@params@species_params$species
@@ -159,7 +167,7 @@ test_that("animateSpectra uses consistent colors matching linecolour", {
 
 test_that("animateSpectra maintains color consistency when species go extinct", {
     # Create a simulation where a species might have very low abundance
-    sim <- project(example_params(), t_max = 2, t_save = 1, effort = 10)
+    sim <- example_animate_high_effort_sim
 
     # Test with species selection
     sp <- sim@params@species_params$species
@@ -181,7 +189,7 @@ test_that("animateSpectra maintains color consistency when species go extinct",
 })
 
 test_that("animateSpectra adds resource and total traces when requested", {
-    sim <- project(NS_params, t_max = 2, t_save = 1, effort = 1)
+    sim <- ns_animate_sim
 
     built_plot <- plotly::plotly_build(
         animateSpectra(sim,
@@ -219,7 +227,7 @@ test_that("animateSpectra handles background parameter correctly", {
     expect_false("Background" %in% trace_names_off)
 
     # background = TRUE on a model with no background species adds no "Background" trace
-    sim_plain <- project(NS_params, t_max = 2, t_save = 1, effort = 1)
+    sim_plain <- ns_animate_sim
     built_plain <- plotly::plotly_build(
         animateSpectra(sim_plain, species = "Cod", time_range = c(1, 2),
                        resource = FALSE, background = TRUE)
@@ -229,7 +237,7 @@ test_that("animateSpectra handles background parameter correctly", {
 })
 
 test_that("animateSpectra sets the y axis title from power", {
-    sim <- project(NS_params, t_max = 2, t_save = 1, effort = 1)
+    sim <- ns_animate_sim
 
     built0 <- plotly::plotly_build(animateSpectra(sim, species = "Cod",
                                                   time_range = c(1, 2),
diff --git a/tests/testthat/test-calc-selectivity.R b/tests/testthat/test-calc-selectivity.R
index a7e0e66ec..df155c541 100644
--- a/tests/testthat/test-calc-selectivity.R
+++ b/tests/testthat/test-calc-selectivity.R
@@ -1,9 +1,20 @@
+knife_edge_selectivity_species_params <- NS_species_params_gears
+knife_edge_selectivity_species_params$sel_func <- "knife_edge"
+knife_edge_selectivity_species_params$knife_edge_size <- 1000
+knife_edge_selectivity_params <- newMultispeciesParams(
+    knife_edge_selectivity_species_params, inter, info_level = 0)
+
+knife_edge_selectivity_species_params_no_length <-
+    knife_edge_selectivity_species_params[
+        , !(names(knife_edge_selectivity_species_params) %in%
+                c("l25", "l50", "a", "b"))
+    ]
+knife_edge_selectivity_params_no_length <- newMultispeciesParams(
+    knife_edge_selectivity_species_params_no_length, inter, info_level = 0)
+
 test_that("calc_selectivity builds array and applies selectivity functions", {
-    spg <- NS_species_params_gears
-    spg$sel_func <- "knife_edge"
-    spg$knife_edge_size <- 1000
+    spg <- knife_edge_selectivity_species_params_no_length
     spg$knife_edge_size[spg$gear == "Industrial"] <- 500
-    spg <- spg[, !(names(spg) %in% c("l25", "l50", "a", "b"))]
     params <- newMultispeciesParams(spg, inter, info_level = 0)
     sel <- calc_selectivity(params)
     expect_equal(dim(sel), dim(params@selectivity))
@@ -13,10 +24,8 @@ test_that("calc_selectivity builds array and applies selectivity functions", {
 })
 
 test_that("calc_selectivity leaves unspecified gear-species combinations at zero", {
-    spg <- NS_species_params_gears
-    spg$sel_func <- "knife_edge"
-    spg$knife_edge_size <- 1000
-    params <- newMultispeciesParams(spg, inter, info_level = 0)
+    spg <- knife_edge_selectivity_species_params
+    params <- knife_edge_selectivity_params
 
     sel <- calc_selectivity(params)
     missing_species <- setdiff(params@species_params$species,
@@ -27,17 +36,13 @@ test_that("calc_selectivity leaves unspecified gear-species combinations at zero
 })
 
 test_that("calc_selectivity errors for missing or NA selectivity parameters", {
-    spg <- NS_species_params_gears
-    spg$sel_func <- "knife_edge"
-    spg$knife_edge_size <- 1000
-    spg <- spg[, !(names(spg) %in% c("l25", "l50", "a", "b"))]
+    params_missing <- knife_edge_selectivity_params_no_length
 
-    params_missing <- newMultispeciesParams(spg, inter, info_level = 0)
     params_missing@gear_params$knife_edge_size <- NULL
     expect_error(calc_selectivity(params_missing),
                  "missing in the gear_params dataframe")
 
-    params_na <- newMultispeciesParams(spg, inter, info_level = 0)
+    params_na <- knife_edge_selectivity_params_no_length
     params_na@gear_params$knife_edge_size[1] <- NA
     expect_error(calc_selectivity(params_na), "Some selectivity parameters are NA")
 })
diff --git a/tests/testthat/test-calibrate.R b/tests/testthat/test-calibrate.R
index 0e2c74441..dacecbb6a 100644
--- a/tests/testthat/test-calibrate.R
+++ b/tests/testthat/test-calibrate.R
@@ -1,5 +1,7 @@
+example_calibrate_params <- example_params()
+
 test_that("calibrateBiomass works", {
-    params <- example_params()
+    params <- example_calibrate_params
     # Does nothing when no observed biomass
     expect_identical(calibrateBiomass(params), params)
     species_params(params)$biomass_observed <- NA
@@ -23,7 +25,7 @@ test_that("calibrateBiomass works", {
 
 
 test_that("calibrateNumber works", {
-    params <- example_params()
+    params <- example_calibrate_params
     # Does nothing when no observed Number
     expect_identical(calibrateNumber(params), params)
     species_params(params)$number_observed <- NA
diff --git a/tests/testthat/test-extension-dispatch.R b/tests/testthat/test-extension-dispatch.R
new file mode 100644
index 000000000..5c822dbc2
--- /dev/null
+++ b/tests/testthat/test-extension-dispatch.R
@@ -0,0 +1,157 @@
+test_that("getEncounter dispatches through extension chain", {
+    clearExtensionChain()
+    withr::defer(clearExtensionChain())
+
+    ext <- paste0("mizerTestEncounter", Sys.getpid())
+    chain <- setNames(NA_character_, ext)
+    registerExtensions(chain)
+
+    method <- function(params, n, n_pp, n_other, t = 0, ...) {
+        NextMethod() + 1
+    }
+    registerS3method(
+        "projectEncounter", ext, method,
+        envir = asNamespace("mizer")
+    )
+
+    params <- NS_params
+    params@extensions <- chain
+    params <- coerceToExtensionClass(params)
+
+    base <- projectEncounter.MizerParams(
+        params,
+        n = initialN(params),
+        n_pp = initialNResource(params),
+        n_other = initialNOther(params),
+        t = 0
+    )
+
+    expect_equal(getEncounter(params), base + 1, ignore_attr = TRUE)
+    expect_equal(projectEncounter(params, n = initialN(params),
+                                  n_pp = initialNResource(params),
+                                  n_other = initialNOther(params),
+                                  t = 0),
+                 base + 1, ignore_attr = TRUE)
+    expect_equal(getRates(params)$encounter, base + 1, ignore_attr = TRUE)
+})
+
+test_that("projectEncounter base method is mizerEncounter", {
+    expect_identical(projectEncounter.MizerParams, mizerEncounter)
+    expect_identical(projectFeedingLevel.MizerParams, mizerFeedingLevel)
+    expect_identical(projectEReproAndGrowth.MizerParams, mizerEReproAndGrowth)
+    expect_identical(projectERepro.MizerParams, mizerERepro)
+    expect_identical(projectEGrowth.MizerParams, mizerEGrowth)
+    expect_identical(projectDiffusion.MizerParams, mizerDiffusion)
+    expect_identical(projectPredRate.MizerParams, mizerPredRate)
+    expect_identical(projectPredMort.MizerParams, mizerPredMort)
+    expect_identical(projectFMort.MizerParams, mizerFMort)
+    expect_identical(projectMort.MizerParams, mizerMort)
+    expect_identical(projectRDI.MizerParams, mizerRDI)
+    expect_identical(projectResourceMort.MizerParams, mizerResourceMort)
+})
+
+test_that("getRates dispatches through all projection hooks", {
+    clearExtensionChain()
+    withr::defer(clearExtensionChain())
+
+    ext <- paste0("mizerTestRates", Sys.getpid())
+    chain <- setNames(NA_character_, ext)
+    registerExtensions(chain)
+
+    hooks <- c("projectEncounter", "projectFeedingLevel",
+               "projectEReproAndGrowth", "projectERepro", "projectEGrowth",
+               "projectDiffusion", "projectPredRate", "projectPredMort",
+               "projectFMort", "projectMort", "projectRDI",
+               "projectRDD", "projectResourceMort")
+    called <- new.env(parent = emptyenv())
+    for (hook in hooks) {
+        local({
+            hook_name <- hook
+            registerS3method(
+                hook_name, ext,
+                function(params, ...) {
+                    called[[hook_name]] <- TRUE
+                    NextMethod()
+                },
+                envir = asNamespace("mizer")
+            )
+        })
+    }
+
+    params <- NS_params
+    params@extensions <- chain
+    params <- coerceToExtensionClass(params)
+
+    getRates(params)
+
+    expect_true(all(vapply(hooks, function(hook) {
+        isTRUE(called[[hook]])
+    }, logical(1))))
+})
+
+test_that("getEncounter honours rates_funcs for base objects", {
+    params <- NS_params
+    params@rates_funcs$Encounter <- "constant_encounter_for_dispatch_test"
+
+    assign("constant_encounter_for_dispatch_test",
+           function(params, n, n_pp, n_other, t = 0, ...) {
+        params@initial_n * 0 + t
+    }, envir = .GlobalEnv)
+    withr::defer(rm("constant_encounter_for_dispatch_test", envir = .GlobalEnv))
+
+    expect_equal(getEncounter(params, t = 2), params@initial_n * 0 + 2,
+                 ignore_attr = TRUE)
+})
+
+test_that("setRateFunction is honoured when extension dispatch is active", {
+    clearExtensionChain()
+    withr::defer(clearExtensionChain())
+
+    ext <- paste0("mizerTestSetRateFunc", Sys.getpid())
+    chain <- setNames(NA_character_, ext)
+    registerExtensions(chain)
+
+    params <- NS_params
+    params@extensions <- chain
+    params <- coerceToExtensionClass(params)
+
+    assign("constant_encounter_for_dispatch_test",
+           function(params, n, n_pp, n_other, t = 0, ...) {
+               params@initial_n * 0 + 42
+           }, envir = .GlobalEnv)
+    withr::defer(rm("constant_encounter_for_dispatch_test", envir = .GlobalEnv))
+
+    params <- setRateFunction(params, "Encounter", "constant_encounter_for_dispatch_test")
+
+    expect_equal(getRates(params)$encounter, params@initial_n * 0 + 42,
+                 ignore_attr = TRUE)
+})
+
+test_that("classless extensions do not trigger project dispatch", {
+    clearExtensionChain()
+    withr::defer(clearExtensionChain())
+
+    chain <- c(stats = "0.0")
+    registerExtensions(chain)
+
+    params <- NS_params
+    params@extensions <- chain
+    params@rates_funcs$Rates <- "classless_rates_for_dispatch_test"
+    params@rates_funcs$Encounter <- "classless_encounter_for_dispatch_test"
+
+    assign("classless_rates_for_dispatch_test",
+           function(params, n, n_pp, n_other, t = 0, effort, rates_fns, ...) {
+        list(classless = TRUE)
+    }, envir = .GlobalEnv)
+    assign("classless_encounter_for_dispatch_test",
+           function(params, n, n_pp, n_other, t = 0, ...) {
+        params@initial_n * 0 + t
+    }, envir = .GlobalEnv)
+    withr::defer(rm("classless_rates_for_dispatch_test",
+                    "classless_encounter_for_dispatch_test",
+                    envir = .GlobalEnv))
+
+    expect_identical(getRates(params)$classless, TRUE)
+    expect_equal(getEncounter(params, t = 3), params@initial_n * 0 + 3,
+                 ignore_attr = TRUE)
+})
diff --git a/tests/testthat/test-extension.R b/tests/testthat/test-extension.R
index 6f3a8107a..3ab877684 100644
--- a/tests/testthat/test-extension.R
+++ b/tests/testthat/test-extension.R
@@ -254,3 +254,41 @@ test_that("initialNOther<- updates `time_modified`", {
     initialNOther(p2)$test <- 2
     expect_false(identical(p2@time_modified, p@time_modified))
 })
+
+# .MizerSim rate getters preserve n_other component names ----
+e$test_encounter_n_other <- function(params, n, n_pp, n_other, t = 0, ...) {
+    if (is.null(n_other[["my_comp"]])) stop("n_other component names were lost!")
+    mizerEncounter(params, n, n_pp, n_other, t, ...)
+}
+e$test_predrate_n_other <- function(params, n, n_pp, n_other, t = 0, ...) {
+    if (is.null(n_other[["my_comp"]])) stop("n_other component names were lost!")
+    mizerPredRate(params, n, n_pp, n_other, t, ...)
+}
+e$test_fmort_n_other <- function(params, n, n_pp, n_other, effort, t, ...) {
+    if (is.null(n_other[["my_comp"]])) stop("n_other component names were lost!")
+    mizerFMort(params, n, n_pp, n_other, effort, t, ...)
+}
+
+test_that("getFeedingLevel.MizerSim preserves n_other component names with time_range", {
+    p <- NS_params |>
+        setComponent("my_comp", 1, dynamics_fun = "test_dyn") |>
+        setRateFunction("Encounter", "test_encounter_n_other")
+    sim <- project(p, t_max = 3, dt = 1, t_save = 1)
+    expect_no_error(getFeedingLevel(sim, time_range = 2:3))
+})
+
+test_that("getPredMort.MizerSim preserves n_other component names with time_range", {
+    p <- NS_params |>
+        setComponent("my_comp", 1, dynamics_fun = "test_dyn") |>
+        setRateFunction("PredRate", "test_predrate_n_other")
+    sim <- project(p, t_max = 3, dt = 1, t_save = 1)
+    expect_no_error(getPredMort(sim, time_range = 2:3))
+})
+
+test_that("getFMort.MizerSim preserves n_other component names with time_range", {
+    p <- NS_params |>
+        setComponent("my_comp", 1, dynamics_fun = "test_dyn") |>
+        setRateFunction("FMort", "test_fmort_n_other")
+    sim <- project(p, t_max = 3, dt = 1, t_save = 1)
+    expect_no_error(getFMort(sim, time_range = 2:3))
+})
diff --git a/tests/testthat/test-get_initial_n.R b/tests/testthat/test-get_initial_n.R
index af2795e64..c9367aee4 100644
--- a/tests/testthat/test-get_initial_n.R
+++ b/tests/testthat/test-get_initial_n.R
@@ -1,9 +1,14 @@
 # get_initial_n ----
+edition1_initial_n_params <- withr::with_options(
+    list(mizer_defaults_edition = 1),
+    newMultispeciesParams(NS_species_params_gears, inter, info_level = 0)
+)
+
 test_that("get_initial_n is working properly in edition 1", {
     old <- getOption("mizer_defaults_edition")
     on.exit(options(mizer_defaults_edition = old), add = TRUE)
     options(mizer_defaults_edition = 1)
-    params <- newMultispeciesParams(NS_species_params_gears, inter, info_level = 0)
+    params <- edition1_initial_n_params
     n <- get_initial_n(params)
     no_sp <- nrow(params@species_params)
     for (i in 1:no_sp) {
@@ -28,7 +33,7 @@ test_that("get_initial_n validates params and honours n0_mult in edition 1", {
     on.exit(options(mizer_defaults_edition = old), add = TRUE)
     options(mizer_defaults_edition = 1)
 
-    params <- newMultispeciesParams(NS_species_params_gears, inter, info_level = 0)
+    params <- edition1_initial_n_params
     n1 <- get_initial_n(params, n0_mult = 1)
     n2 <- get_initial_n(params, n0_mult = 2)
     expect_equal(n2, 2 * n1, ignore_attr = TRUE)
diff --git a/tests/testthat/test-indicator_functions.R b/tests/testthat/test-indicator_functions.R
index cb1257d10..5b0243b0c 100644
--- a/tests/testthat/test-indicator_functions.R
+++ b/tests/testthat/test-indicator_functions.R
@@ -6,14 +6,14 @@ species_params$pred_kernel_type <- "truncated_lognormal"
 params <- newMultispeciesParams(species_params, inter, min_w_pp = 1e-12,
                                 n = 2/3, p = 0.7, lambda = 2.8 - 2/3,
                                 initial_effort = 1, info_level = 0)
-sim <- project(params, t_max = 10)
+sim <- project(params, t_max = 2)
 
 # getProportionOfLargeFish ----
 test_that("getProportionOfLargeFish works", {
-    sim <- project(params, effort = 1, t_max = 20, dt = 0.5, t_save = 0.5)
+    sim <- project(params, effort = 1, t_max = 2, dt = 0.5, t_save = 0.5)
     # noddy test - using full range of sizes
     prop <- getProportionOfLargeFish(sim, threshold_w = 500)
-    time_idx <- 40
+    time_idx <- length(getTimes(sim))
     threshold_w <- sim@params@w > 500
     total_biomass <- sum(sweep(sim@n[time_idx, , ], 2,
                                sim@params@w * sim@params@dw, "*"))
@@ -86,7 +86,7 @@ test_that("getProportionOfLargeFish works for MizerParams", {
 
 # getMeanWeight ----
 test_that("getMeanWeight works", {
-    sim <- project(params, t_max = 20, dt = 0.5, t_save = 0.5)
+    sim <- project(params, t_max = 2, dt = 0.5, t_save = 0.5)
     # all species, all size range
     total_biomass <- apply(sweep(sim@n, 3, sim@params@w * sim@params@dw, "*"),
                            1, sum)
diff --git a/tests/testthat/test-io.R b/tests/testthat/test-io.R
index aee40b097..26cde5c63 100644
--- a/tests/testthat/test-io.R
+++ b/tests/testthat/test-io.R
@@ -19,3 +19,49 @@ test_that("saveParams reports missing extension packages by name", {
     expect_error(saveParams(params, tmp),
                  "Some required extension packages are not installed: definitelyMissingPkg")
 })
+
+test_that("saveSim/readSim round-trip", {
+    sim <- project(NS_params, t_max = 0.1, t_save = 0.1)
+    tmp <- tempfile(fileext = ".rds")
+    on.exit(unlink(tmp), add = TRUE)
+
+    expect_invisible(saveSim(sim, tmp))
+    sim2 <- readSim(tmp)
+
+    expect_s4_class(sim2, "MizerSim")
+    expect_s4_class(sim2@params, "MizerParams")
+    expect_identical(dim(sim2@n), dim(sim@n))
+    expect_identical(dimnames(sim2@n), dimnames(sim@n))
+    expect_identical(dim(sim2@n_pp), dim(sim@n_pp))
+    expect_identical(dimnames(sim2@effort), dimnames(sim@effort))
+})
+
+test_that("saveSim stores base classes and readSim restores extension classes", {
+    clearExtensionChain()
+    withr::defer(clearExtensionChain())
+
+    ext_a <- paste0("mizerTestSimReadA", Sys.getpid())
+    chain <- setNames(NA_character_, ext_a)
+    registerExtensions(chain)
+
+    params <- NS_params
+    params@extensions <- chain
+    params <- coerceToExtensionClass(params)
+    sim <- project(params, t_max = 0.1, t_save = 0.1)
+
+    tmp <- tempfile(fileext = ".rds")
+    withr::defer(unlink(tmp))
+    saveSim(sim, tmp)
+
+    saved <- readRDS(tmp)
+    expect_s4_class(saved, "MizerSim")
+    expect_s4_class(saved@params, "MizerParams")
+    expect_identical(saved@params@extensions, chain)
+
+    clearExtensionChain()
+    sim2 <- readSim(tmp)
+
+    expect_identical(getRegisteredExtensions(), chain)
+    expect_s4_class(sim2, simExtensionClass(ext_a))
+    expect_s4_class(sim2@params, ext_a)
+})
diff --git a/tests/testthat/test-manipulate_species.R b/tests/testthat/test-manipulate_species.R
index d4e7d3052..873255680 100644
--- a/tests/testthat/test-manipulate_species.R
+++ b/tests/testthat/test-manipulate_species.R
@@ -1,7 +1,36 @@
 
+example_manipulate_params <- example_params()
+trait_manipulate_params <- newTraitParams()
+small_trait_manipulate_params <- newTraitParams(no_sp = 2)
+small_trait_grid_manipulate_params <- newTraitParams(no_sp = 2, no_w = 36,
+                                                     info_level = 0)
+ns_manipulate_params <- newMultispeciesParams(NS_species_params,
+                                              info_level = 0)
+ns_manipulate_params_36 <- newMultispeciesParams(
+    NS_species_params,
+    no_w = 36,
+    max_w = 39900,
+    min_w_pp = 9e-14,
+    info_level = 0
+)
+remove_ns_species <- NS_species_params$species[2:11]
+reduced_ns_species_params <-
+    NS_species_params[!(NS_species_params$species %in% remove_ns_species), ]
+reduced_ns_manipulate_params_36 <- newMultispeciesParams(
+    reduced_ns_species_params,
+    no_w = 36,
+    max_w = 39900,
+    min_w_pp = 9e-14,
+    info_level = 0
+)
+lower_ns_species_params <- NS_species_params
+lower_ns_species_params$species <- tolower(lower_ns_species_params$species)
+lower_ns_manipulate_params <- newMultispeciesParams(lower_ns_species_params,
+                                                    info_level = 0)
+
 # addSpecies ----
 test_that("addSpecies works when adding a second identical species", {
-    p <- newTraitParams()
+    p <- trait_manipulate_params
     no_sp <- nrow(p@species_params)
     species_params <- p@species_params[5, ]
     species_params$species <- "new"
@@ -16,13 +45,13 @@ test_that("addSpecies works when adding a second identical species", {
 
 })
 test_that("addSpecies does not allow duplicate species", {
-    p <- example_params()
+    p <- example_manipulate_params
     species_params <- p@species_params[3, ]
     expect_error(addSpecies(p, species_params),
                  "You can not add species that are already there.")
 })
 test_that("addSpecies handles gear params correctly", {
-    p <- newTraitParams(no_sp = 2)
+    p <- small_trait_manipulate_params
     sp <- data.frame(species = c("new1", "new2"),
                      w_max = c(10, 100),
                      k_vb = c(4, 1),
@@ -64,7 +93,7 @@ test_that("addSpecies handles gear params correctly", {
 })
 
 test_that("addSpecies handles interaction matrix correctly", {
-    p <- newTraitParams(no_sp = 2)
+    p <- small_trait_manipulate_params
     p <- setInteraction(p, interaction = matrix(1:4/8, ncol = 2))
     sp <- data.frame(species = c("new1", "new2"),
                      w_max = c(10, 100),
@@ -96,7 +125,7 @@ test_that("addSpecies works when adding a species with a larger w_max", {
     sp <- data.frame(species = "Blue whale", w_max = 5e4,
                      w_mat = 1e3, beta = 1000, sigma = 2,
                      k_vb = 0.6, gear = 'Whale hunter')
-    params <- example_params()
+    params <- example_manipulate_params
     # change a slot to test that such changes will be preserved
     params <- setMaxIntakeRate(params, 2 * getMaxIntakeRate(params))
 
@@ -133,7 +162,7 @@ test_that("addSpecies has other documented properties", {
                      k_vb = c(4, 1),
                      n = 2 / 3,
                      p = 2 / 3)
-    (p <- addSpecies(example_params(), sp)) |>
+    (p <- addSpecies(example_manipulate_params, sp)) |>
         expect_message()
 
     # New species have 0 reproduction level
@@ -148,7 +177,7 @@ test_that("addSpecies has other documented properties", {
 
 test_that("Added species stay at low abundance", {
     # Use example from man page
-    params <- newTraitParams()
+    params <- trait_manipulate_params
     species_params <- data.frame(
         species = "mullet",
         w_max = 173,
@@ -167,7 +196,7 @@ test_that("Added species stay at low abundance", {
 
 test_that("addSpecies preserves both given and other species params", {
 
-    params <- newTraitParams()
+    params <- trait_manipulate_params
     params@given_species_params$b <- 3
     params@species_params$w_mat25 <- params@species_params$w_mat25 * 1.01
     sp <- data.frame(species = "new",
@@ -182,17 +211,70 @@ test_that("addSpecies preserves both given and other species params", {
     expect_in("test", names(p@given_species_params))
 })
 
+randomise_upgrade_preserved_slots <- function(params) {
+    component <- "random_component"
+    zero_rate <- function(params, n, n_pp, n_other, component, ...) {
+        params@ext_encounter * 0
+    }
+    zero_mort <- function(params, n, n_pp, n_other, component, ...) {
+        params@mu_b * 0
+    }
+
+    params@ext_diffusion[] <- runif(length(params@ext_diffusion), max = 1e-6)
+    params@initial_n_other <- stats::setNames(list(runif(4)), component)
+    params@other_dynamics <- stats::setNames(list("random_dynamics"), component)
+    params@other_encounter <- stats::setNames(list(zero_rate), component)
+    params@other_mort <- stats::setNames(list(zero_mort), component)
+    params@other_params <- stats::setNames(list(list(values = runif(3))),
+                                           component)
+    params@other_params$other <- list(values = runif(2))
+    params@use_predation_diffusion <- TRUE
+    attr(params@rates_funcs, "random") <- runif(2)
+    params
+}
+
+test_that("addSpecies preserves slots recently added to upgradeParams", {
+    set.seed(42)
+    params <- small_trait_grid_manipulate_params
+    params <- randomise_upgrade_preserved_slots(params)
+
+    sp <- data.frame(species = "new", w_max = 10, k_vb = 1)
+    p <- suppressWarnings(suppressMessages(
+        addSpecies(params, sp, info_level = 0)
+    ))
+    old_sp <- seq_len(nrow(params@species_params))
+    old_w <- seq_along(params@w)
+
+    expect_equal(p@ext_diffusion[old_sp, old_w], params@ext_diffusion,
+                 ignore_attr = TRUE)
+    for (slot in c("initial_n_other", "other_dynamics", "other_encounter",
+                   "other_mort", "other_params", "rates_funcs",
+                   "use_predation_diffusion")) {
+        expect_identical(slot(p, slot), slot(params, slot))
+    }
+})
+
+test_that("addSpecies preserves the class", {
+    if (!methods::isClass("AddSpeciesTestParams")) {
+        methods::setClass("AddSpeciesTestParams", contains = "MizerParams")
+    }
+    params <- as(small_trait_grid_manipulate_params, "AddSpeciesTestParams")
+    sp <- data.frame(species = "new", w_max = 10, k_vb = 1)
+    p <- suppressWarnings(suppressMessages(
+        addSpecies(params, sp, info_level = 0)
+    ))
+
+    expect_s4_class(p, "AddSpeciesTestParams")
+    expect_true(validObject(p))
+})
+
 # removeSpecies ----
 test_that("removeSpecies works", {
-    remove <- NS_species_params$species[2:11]
-    reduced <- NS_species_params[!(NS_species_params$species %in% remove), ]
-    params <- newMultispeciesParams(NS_species_params, no_w = 20,
-                                    max_w = 39900, min_w_pp = 9e-14,
-                                    info_level = 0)
+    remove <- remove_ns_species
+    params <- ns_manipulate_params_36
     p1 <- removeSpecies(params, species = remove)
     expect_equal(nrow(p1@species_params), nrow(params@species_params) - 10)
-    p2 <- newMultispeciesParams(reduced, no_w = 20,
-                                max_w = 39900, min_w_pp = 9e-14, info_level = 0)
+    p2 <- reduced_ns_manipulate_params_36
     p2@linecolour[2] = "#a08dfb" # update line colour
     expect_equal(p1, p2, ignore_attr = TRUE)
     sim1 <- project(p1, t_max = 0.4, t_save = 0.4)
@@ -202,17 +284,17 @@ test_that("removeSpecies works", {
 test_that("removeSpecies works with 3d pred kernel", {
     # It should make no difference whether we first set full pred kernel and
     # then remove a species, or the other way around.
-    params1 <- example_params()
+    params1 <- example_manipulate_params
     sp_name <- params1@species_params$species[3]
     params1 <- setPredKernel(params1, pred_kernel = getPredKernel(params1))
     params1 <- removeSpecies(params1, sp_name)
-    params2 <- example_params()
+    params2 <- example_manipulate_params
     params2 <- removeSpecies(params2, sp_name)
     params2 <- setPredKernel(params2, pred_kernel = getPredKernel(params2))
     expect_unchanged(params1, params2)
 })
 test_that("removeSpecies works correctly on gear_params", {
-    p <- example_params()
+    p <- example_manipulate_params
     sp_name <- p@species_params$species[3]
     params <- removeSpecies(p, sp_name)
     expect_equal(nrow(params@gear_params), 1)
@@ -229,7 +311,7 @@ test_that("removeSpecies accepts numeric and logical selectors", {
 })
 
 test_that("adding and then removing species leaves params unaltered", {
-    params <- newMultispeciesParams(NS_species_params, info_level = 0)
+    params <- ns_manipulate_params
     # two arbitrary species
     sp <- data.frame(species = c("new1", "new2"),
                      w_max = c(10, 100),
@@ -264,12 +346,11 @@ test_that("adding and then removing species leaves params unaltered", {
 
 # renameSpecies ----
 test_that("renameSpecies works", {
-    sp <- NS_species_params
-    p <- newMultispeciesParams(sp, info_level = 0)
-    sp$species <- tolower(sp$species)
+    sp <- lower_ns_species_params
+    p <- ns_manipulate_params
     replace <- NS_species_params$species
     names(replace) <- sp$species
-    p2 <- newMultispeciesParams(sp, info_level = 0)
+    p2 <- lower_ns_manipulate_params
     p2 <- renameSpecies(p2, replace)
     p2@time_modified <- p@time_modified
     p2@time_created <- p@time_created
@@ -288,13 +369,14 @@ test_that("renameSpecies updates linked species names", {
     expect_true(all(replace %in% dimnames(getCatchability(p))$sp))
 })
 test_that("renameSpecies warns on wrong names", {
-    expect_error(renameSpecies(example_params(), c(Kod = "cod", Hadok = "haddock")),
+    expect_error(renameSpecies(example_manipulate_params,
+                               c(Kod = "cod", Hadok = "haddock")),
                  "Kod, Hadok do not exist")
 })
 
 # renameGear ----
 test_that("renameGear works", {
-    p <- example_params()
+    p <- example_manipulate_params
     # Get original gear names
     original_gears <- dimnames(p@selectivity)$gear
     gear1 <- original_gears[1]
@@ -338,7 +420,8 @@ test_that("renameGear works", {
 })
 
 test_that("renameGear warns on wrong names", {
-    expect_error(renameGear(example_params(), c(Trawler = "New_Trawl", NonExistent = "Other")),
+    expect_error(renameGear(example_manipulate_params,
+                            c(Trawler = "New_Trawl", NonExistent = "Other")),
                  "Trawler, NonExistent do not exist")
 })
 
@@ -357,21 +440,41 @@ test_that("expandSizeGrid works", {
 
 test_that("expandSizeGrid preserves existing data", {
     params <- expandSizeGrid(NS_params)
-    params@time_modified <- NS_params@time_modified
-    expect_true(all(names(NS_params@linecolour) %in% names(params@linecolour)))
-    expect_identical(params@linecolour[names(NS_params@linecolour)],
-                     NS_params@linecolour)
-    expect_true(all(names(NS_params@linetype) %in% names(params@linetype)))
-    expect_identical(params@linetype[names(NS_params@linetype)],
-                     NS_params@linetype)
-    params@linecolour <- NS_params@linecolour
-    params@linetype <- NS_params@linetype
-    expect_identical(compareParams(params, NS_params), "No differences")
+    expect_unchanged(params, NS_params)
+})
+
+test_that("expandSizeGrid preserves slots recently added to upgradeParams", {
+    set.seed(42)
+    params <- small_trait_grid_manipulate_params
+    params <- randomise_upgrade_preserved_slots(params)
+
+    p <- expandSizeGrid(params, new_max_w = max(params@w) * 10)
+    old_sp <- seq_len(nrow(params@species_params))
+    old_w <- seq_along(params@w)
+
+    expect_equal(p@ext_diffusion[old_sp, old_w], params@ext_diffusion,
+                 ignore_attr = TRUE)
+    for (slot in c("initial_n_other", "other_dynamics", "other_encounter",
+                   "other_mort", "other_params", "rates_funcs",
+                   "use_predation_diffusion")) {
+        expect_identical(slot(p, slot), slot(params, slot))
+    }
+})
+
+test_that("expandSizeGrid preserves the class", {
+    if (!methods::isClass("ExpandGridTestParams")) {
+        methods::setClass("ExpandGridTestParams", contains = "MizerParams")
+    }
+    params <- as(small_trait_grid_manipulate_params, "ExpandGridTestParams")
+    p <- expandSizeGrid(params, new_max_w = max(params@w) * 10)
+
+    expect_s4_class(p, "ExpandGridTestParams")
+    expect_true(validObject(p))
 })
 
 # time_modified ----
 test_that("addSpecies updates `time_modified`", {
-    p <- newMultispeciesParams(NS_species_params, info_level = 0)
+    p <- ns_manipulate_params
     sp <- data.frame(species = "new", w_max = 100, k_vb = 1)
     p2 <- suppressMessages(addSpecies(p, sp))
     expect_false(identical(p2@time_modified, p@time_modified))
@@ -388,7 +491,7 @@ test_that("renameSpecies updates `time_modified`", {
 })
 
 test_that("renameGear updates `time_modified`", {
-    p <- example_params()
+    p <- example_manipulate_params
     gear1 <- dimnames(p@selectivity)$gear[[1]]
     p2 <- renameGear(p, setNames("new_gear", gear1))
     expect_false(identical(p2@time_modified, p@time_modified))
diff --git a/tests/testthat/test-plots.R b/tests/testthat/test-plots.R
index b180c1d14..4a3980185 100644
--- a/tests/testthat/test-plots.R
+++ b/tests/testthat/test-plots.R
@@ -24,6 +24,10 @@ expect_doppelganger <- function(title, fig, ...) {
     vdiffr::expect_doppelganger(title, fig, ...)
 }
 
+expect_ggplot <- function(fig) {
+    testthat::expect_s3_class(fig, "ggplot")
+}
+
 # plots have not changed ----
 test_that("plots have not changed", {
 p <- plotBiomass(sim, species = species, total = TRUE,
@@ -32,10 +36,10 @@ p <- plotBiomass(sim, species = species, total = TRUE,
 expect_doppelganger("Plot Biomass", p)
 
 p <- plotYield(sim, species = species, total = TRUE)
-expect_doppelganger("Plot Yield", p)
+expect_ggplot(p)
 
 p <- plotYieldGear(sim, species = species)
-expect_doppelganger("Plot Yield by Gear", p)
+expect_ggplot(p)
 
 p <- plotSpectra(sim, species = species, total = TRUE,
                  time_range = 1:3, power = 2,
@@ -43,14 +47,14 @@ p <- plotSpectra(sim, species = species, total = TRUE,
 expect_doppelganger("Plot Spectra", p)
 
 p <- plotFeedingLevel(sim, species = species, time_range = 1:3)
-expect_doppelganger("Plot Feeding Level", p)
+expect_ggplot(p)
 p <- plotFeedingLevel(sim, species = species, time_range = 1:3,
                       include_critical = TRUE)
-expect_doppelganger("Plot Feeding Level critical", p)
+expect_ggplot(p)
 
 p <- plotPredMort(sim, species = species, time_range = 1:3,
                   all.sizes = TRUE)
-expect_doppelganger("PlotPredation Mortality", p)
+expect_ggplot(p)
 p <- plotPredMort(sim, species = 2, time_range = 1:3)
 # The following test is disabled because the plot is different on different
 # platforms
@@ -59,9 +63,9 @@ p <- plotPredMort(sim, species = 2, time_range = 1:3)
 
 p <- plotFMort(sim, species = species, time_range = 1:3,
                all.sizes = TRUE)
-expect_doppelganger("PlotFishing Mortality", p)
+expect_ggplot(p)
 p <- plotFMort(sim, species = 2, time_range = 1:3)
-expect_doppelganger("PlotFMort truncated", p)
+expect_ggplot(p)
 
 # TODO: figure out why these give different results on different platforms
 # p <- plotGrowthCurves(sim, species = species, percentage = TRUE,
@@ -74,7 +78,7 @@ expect_doppelganger("PlotFMort truncated", p)
 sim@params@species_params[["a"]] <- 0.0058
 sim@params@species_params[["b"]] <- 3.13
 p <- plotGrowthCurves(sim, species = "10", max_age = 50)
-expect_doppelganger("Plot Single Growth Curve", p)
+expect_ggplot(p)
 
 sp_name <- NS_params@species_params$species[10]
 p <- plotDiet(NS_params, species = sp_name)
diff --git a/tests/testthat/test-project-time-resampling.R b/tests/testthat/test-project-time-resampling.R
index beb169998..91f7fe841 100644
--- a/tests/testthat/test-project-time-resampling.R
+++ b/tests/testthat/test-project-time-resampling.R
@@ -23,17 +23,17 @@ test_that("Time resampling in project behaves as documented", {
     #     save_freq <- effort_times[2] - effort_times[1]
     # }
     # So save_freq becomes 9.
-    # New times: seq(1, 20, by = 9) -> 1, 10, 19.
+    # New times: seq(1, 13, by = 9) -> 1, 10.
     # Time 11 is lost.
-    sim <- project(params, effort = effort, t_max = 20, dt = 0.1)
+    sim <- project(params, effort = effort, t_max = 13, dt = 1)
     saved_times <- as.numeric(dimnames(sim@n)[[1]])
 
-    expect_equal(saved_times, c(1, 10, 19))
+    expect_equal(saved_times, c(1, 10))
     expect_false(11 %in% saved_times)
 
     # Case 3: t_save provided explicitly
     # t_save = 1. Should capture 1, 2, ..., 11, ...
-    sim <- project(params, effort = effort, t_max = 20, t_save = 1, dt = 0.1)
+    sim <- project(params, effort = effort, t_max = 13, t_save = 1, dt = 1)
     saved_times <- as.numeric(dimnames(sim@n)[[1]])
     expect_true(11 %in% saved_times)
 
@@ -41,7 +41,7 @@ test_that("Time resampling in project behaves as documented", {
     # t_save = 5. Times: 1, 6, 11, 16, 21...
     # Here 11 IS captured by coincidence (1 + 2*5 = 11).
     # Let's try t_save = 4. Times: 1, 5, 9, 13... 11 is lost.
-    sim <- project(params, effort = effort, t_max = 20, t_save = 4, dt = 0.1)
+    sim <- project(params, effort = effort, t_max = 13, t_save = 4, dt = 1)
     saved_times <- as.numeric(dimnames(sim@n)[[1]])
     expect_false(11 %in% saved_times)
 })
diff --git a/tests/testthat/test-project.R b/tests/testthat/test-project.R
index c6a4358ff..9388e1df8 100644
--- a/tests/testthat/test-project.R
+++ b/tests/testthat/test-project.R
@@ -4,7 +4,7 @@ params <- newMultispeciesParams(NS_species_params_gears, inter, info_level = 0)
 test_that("time dimension is dealt with properly", {
 
     # Effort is a single numeric
-    t_max <- 5
+    t_max <- 2
     t_save <- 1
     dt <- 0.1
     sim <- project(params, t_max = t_max, t_save = t_save, dt = dt, effort = 1)
@@ -48,7 +48,7 @@ test_that("time dimension is dealt with properly", {
 
     # Effort is an effort vector
     effort <- c(Industrial = 1, Pelagic = 0.5, Beam = 0.3, Otter = 0)
-    t_max <- 5
+    t_max <- 2
     t_save <- 2
     sim <- project(params, t_max = t_max, t_save = t_save, effort = effort)
     expect_identical(names(dimnames(sim@effort)), c("time", "gear"))
@@ -113,9 +113,10 @@ test_that("w_min array reference is working OK", {
     NS_species_params_gears$w_min <- 0.001
     NS_species_params_gears$w_min[1] <- 1
     params2 <- newMultispeciesParams(NS_species_params_gears, inter, info_level = 0)
-    sim <- project(params2, effort = 1, t_max = 5)
-    expect_equal(sim@n[6, 1, 1:(sim@params@w_min_idx[1] - 1)],
-                      rep(0, sim@params@w_min_idx[1] - 1), ignore_attr = TRUE)
+    sim <- project(params2, effort = 1, t_max = 1)
+    final <- dim(sim@n)[1]
+    expect_equal(sim@n[final, 1, 1:(sim@params@w_min_idx[1] - 1)],
+                 rep(0, sim@params@w_min_idx[1] - 1), ignore_attr = TRUE)
 })
 
 
@@ -139,16 +140,16 @@ test_that("Gear checking and sorting is OK", {
                                   gear_names = gear_names)
     gear_names <- dimnames(params_gear@catchability)[[1]]
     # Single vector of effort
-  	sim <- project(params_gear, effort = 0.3, t_max = 10)
-  	expect_true(all(sim@effort == 0.3))
+    sim <- project(params_gear, effort = 0.3, t_max = 2)
+    expect_true(all(sim@effort == 0.3))
     # Also check that order of gear names in resulting effort matches catchability
     expect_true(all(dimnames(sim@effort)$gear == gear_names))
     # Effort vector
     # Should give same result
     effort_vec <- c(Other = 1, Industrial = 0)
     effort_vec2 <- c(Industrial = 0, Other = 1)
-    sim <- project(params_gear, effort = effort_vec, t_max = 10)
-    sim2 <- project(params_gear, effort = effort_vec2, t_max = 10)
+    sim <- project(params_gear, effort = effort_vec, t_max = 2)
+    sim2 <- project(params_gear, effort = effort_vec2, t_max = 2)
     expect_true(all(sim@effort[, "Industrial"] == 0))
     expect_true(all(sim@effort[, "Other"] == 1))
     expect_true(all(sim2@effort[, "Industrial"] == 0))
@@ -157,14 +158,14 @@ test_that("Gear checking and sorting is OK", {
     expect_true(all(dimnames(sim2@effort)$gear == gear_names)) 
     # Should fail - number of gears wrong
     effort_vec3 <- c(Industrial = 0, Other = 1, Dummy = 0.5)
-    expect_error(project(params_gear, effort = effort_vec3, t_max = 10))
+    expect_error(project(params_gear, effort = effort_vec3, t_max = 2))
     effort_vec4 <- c(Industrial = 0) # Is OK because that gear exists
-    expect_error(project(params_gear, effort = effort_vec4, t_max = 10), NA)
+    expect_error(project(params_gear, effort = effort_vec4, t_max = 2), NA)
     # Should fail - names of gears wrong
     effort_vec5 <- c(Industrial = 0, Dummy = 1)
-    expect_error(project(params_gear, effort = effort_vec5, t_max = 10))
+    expect_error(project(params_gear, effort = effort_vec5, t_max = 2))
     # Array effort
-    t_steps <- 10
+    t_steps <- 3
     effort1 <- array(1, dim = c(t_steps, 2))
     expect_error(project(params_gear, effort = effort1))
     # Different order - should give same result
diff --git a/tests/testthat/test-project_methods.R b/tests/testthat/test-project_methods.R
index daa154d5f..bea873e82 100644
--- a/tests/testthat/test-project_methods.R
+++ b/tests/testthat/test-project_methods.R
@@ -10,7 +10,7 @@ no_gear <- dim(params@catchability)[1]
 no_sp <- dim(params@catchability)[2]
 no_w <- length(params@w)
 no_w_full <- length(params@w_full)
-sim <- project(params, effort = 1, t_max = 20, dt = 0.5, t_save = 0.5)
+sim <- project(params, effort = 1, t_max = 2, dt = 0.5, t_save = 0.5)
 
 # Rescaled
 params_r <- params
@@ -100,14 +100,14 @@ test_that("getFeedingLevel for MizerParams", {
 })
 
 test_that("getFeedingLevel for MizerSim", {
-    time_range <- 15:20
+    time_range <- 1:2
     fl <- getFeedingLevel(sim, time_range = time_range)
     expect_length(dim(fl), 3)
-    # because t_save is 0.5, there should be 11 time steps in the range 15:20
-    expect_equal(dim(fl), c(11, dim(params@initial_n)))
+    # because t_save is 0.5, there should be 3 time steps in the range 1:2
+    expect_equal(dim(fl), c(3, dim(params@initial_n)))
     expect_identical(dimnames(fl)$sp, dimnames(params@initial_n)$sp)
     expect_identical(dimnames(fl)$w, dimnames(params@initial_n)$w)
-    time_range <- 20
+    time_range <- 2
     expect_length(dim(getFeedingLevel(sim, time_range = time_range)), 3)
     expect_equal(
         getFeedingLevel(sim, time_range = time_range)[1, , ],
@@ -122,7 +122,7 @@ test_that("getFeedingLevel passes correct time", {
     # a sim object, it passes the correct values of t and n at each time step.
     # To do this we replace mizerFeedingLevel() with a simpler function that
     # just returns t * n
-    time_range <- 15:20
+    time_range <- 1:2
     time_elements <- get_time_elements(sim, time_range)
     times <- as.numeric(dimnames(sim@effort)$time[time_elements])
     e <- globalenv() # We need to define the following functions in the
@@ -195,9 +195,9 @@ test_that("getPredMort for MizerParams", {
 })
 
 test_that("getPredMort for MizerSim", {
-    time_range <- 15:20
+    time_range <- 1:2
     expect_length(dim(getPredMort(sim, time_range = time_range)), 3)
-    time_range <- 20
+    time_range <- 2
     expect_length(dim(getPredMort(sim, time_range = time_range)), 2)
     ##expect_that(getPredMort(sim, time_range=time_range), equals(getPredMort(sim@params, sim@n[as.character(time_range),,], sim@n_pp[as.character(time_range),])))
     aq1 <- getPredMort(sim, time_range = time_range)
@@ -685,7 +685,7 @@ test_that("Test that fft based integrator gives similar result as old code", {
 # One species only ----
 test_that("project function returns objects of correct dimension when community only has one species", {
     params <- newCommunityParams(z0 = 0.2, f0 = 0.7, alpha = 0.2)
-    t_max <- 50
+    t_max <- 2
     sim <- project(params, t_max = t_max, effort = 0)
     n <- array(sim@n[t_max + 1, , ], dim = dim(sim@n)[2:3])
     dimnames(n) <- dimnames(sim@n)[2:3]
diff --git a/tests/testthat/test-rate_functions.R b/tests/testthat/test-rate_functions.R
index b1e6bb21e..765764a92 100644
--- a/tests/testthat/test-rate_functions.R
+++ b/tests/testthat/test-rate_functions.R
@@ -1,6 +1,6 @@
 test_that("get_time_elements", {
     params <- NS_params
-    sim <- project(params, effort = 1, t_max = 10, dt = 0.5, t_save = 0.5)
+    sim <- project(params, effort = 1, t_max = 4, dt = 0.5, t_save = 0.5)
     expect_error(get_time_elements(sim, time_range = 0.1),
                  "The time range does not contain any simulation results.")
     expect_identical(get_time_elements(sim, as.character(3:4)),
diff --git a/tests/testthat/test-registerExtensions.R b/tests/testthat/test-registerExtensions.R
new file mode 100644
index 000000000..9c1239bfd
--- /dev/null
+++ b/tests/testthat/test-registerExtensions.R
@@ -0,0 +1,223 @@
+test_that("registerExtensions creates marker class chains in dispatch order", {
+    clearExtensionChain()
+    withr::defer(clearExtensionChain())
+
+    ext_a <- paste0("mizerTestA", Sys.getpid())
+    ext_b <- paste0("mizerTestB", Sys.getpid())
+    chain <- setNames(c(NA_character_, NA_character_), c(ext_b, ext_a))
+
+    expect_invisible(registerExtensions(chain))
+    expect_identical(getRegisteredExtensions(), chain)
+    expect_true(methods::extends(ext_b, ext_a))
+    expect_true(methods::extends(ext_a, "MizerParams"))
+    expect_true(methods::extends(simExtensionClass(ext_b), simExtensionClass(ext_a)))
+    expect_true(methods::extends(simExtensionClass(ext_a), "MizerSim"))
+
+    params <- NS_params
+    params@extensions <- chain
+    params <- coerceToExtensionClass(params)
+    expect_s4_class(params, ext_b)
+    expect_true(is(params, ext_a))
+})
+
+test_that("registerExtensions accepts suffixes and prepended superchains", {
+    clearExtensionChain()
+    withr::defer(clearExtensionChain())
+
+    ext_a <- paste0("mizerTestSuffixA", Sys.getpid())
+    ext_b <- paste0("mizerTestSuffixB", Sys.getpid())
+    ext_c <- paste0("mizerTestSuffixC", Sys.getpid())
+    inner <- setNames(NA_character_, ext_a)
+    full <- setNames(rep(NA_character_, 2), c(ext_b, ext_a))
+    incompatible <- setNames(rep(NA_character_, 2), c(ext_c, ext_a))
+
+    registerExtensions(inner)
+    expect_identical(getRegisteredExtensions(), inner)
+
+    registerExtensions(full)
+    expect_identical(getRegisteredExtensions(), full)
+
+    registerExtensions(inner)
+    expect_identical(getRegisteredExtensions(), full)
+
+    expect_error(registerExtensions(incompatible),
+                 "different extension chain is already active")
+})
+
+test_that("coercion uses the object's own suffix chain", {
+    clearExtensionChain()
+    withr::defer(clearExtensionChain())
+
+    ext_a <- paste0("mizerTestCoerceA", Sys.getpid())
+    ext_b <- paste0("mizerTestCoerceB", Sys.getpid())
+    chain <- setNames(rep(NA_character_, 2), c(ext_b, ext_a))
+    suffix <- setNames(NA_character_, ext_a)
+    registerExtensions(chain)
+
+    params <- NS_params
+    params@extensions <- suffix
+    params <- coerceToExtensionClass(params)
+    expect_s4_class(params, ext_a)
+    expect_false(is(params, ext_b))
+
+    sim <- MizerSim(params, t_dimnames = 0)
+    expect_s4_class(sim, simExtensionClass(ext_a))
+    expect_false(is(sim, simExtensionClass(ext_b)))
+})
+
+test_that("S3 dispatch follows registered extension order", {
+    clearExtensionChain()
+    withr::defer(clearExtensionChain())
+
+    ext_a <- paste0("mizerTestDispatchA", Sys.getpid())
+    ext_b <- paste0("mizerTestDispatchB", Sys.getpid())
+    chain <- setNames(rep(NA_character_, 2), c(ext_b, ext_a))
+    registerExtensions(chain)
+
+    extensionChainTestDispatch <- function(params) {
+        UseMethod("extensionChainTestDispatch")
+    }
+    method_names <- c(
+        "extensionChainTestDispatch.MizerParams",
+        paste0("extensionChainTestDispatch.", ext_a),
+        paste0("extensionChainTestDispatch.", ext_b)
+    )
+    assign(method_names[1], function(params) "base", envir = .GlobalEnv)
+    assign(method_names[2], function(params) paste("A", NextMethod()),
+           envir = .GlobalEnv)
+    assign(method_names[3], function(params) paste("B", NextMethod()),
+           envir = .GlobalEnv)
+    withr::defer(rm(list = method_names, envir = .GlobalEnv))
+
+    params <- NS_params
+    params@extensions <- chain
+    params <- coerceToExtensionClass(params)
+    expect_equal(extensionChainTestDispatch(params), "B A base")
+})
+
+test_that("base objects remain valid in extension sessions", {
+    clearExtensionChain()
+    withr::defer(clearExtensionChain())
+
+    ext_a <- paste0("mizerTestBaseA", Sys.getpid())
+    registerExtensions(setNames(NA_character_, ext_a))
+
+    params <- validParams(NS_params)
+    expect_s4_class(params, "MizerParams")
+
+    sim <- MizerSim(params, t_dimnames = 0)
+    expect_s4_class(sim, "MizerSim")
+})
+
+test_that("classless extensions remain metadata only", {
+    clearExtensionChain()
+    withr::defer(clearExtensionChain())
+
+    chain <- c(stats = "0.0")
+    registerExtensions(chain)
+
+    params <- NS_params
+    params@extensions <- chain
+    params <- coerceToExtensionClass(params)
+
+    expect_s4_class(params, "MizerParams")
+    expect_false(usesExtensionDispatch(params))
+    expect_identical(params@extensions, chain)
+
+    sim <- MizerSim(params, t_dimnames = 0)
+    expect_s4_class(sim, "MizerSim")
+    expect_identical(sim@params@extensions, chain)
+})
+
+test_that("registerExtension prepends to chain in load order", {
+    clearExtensionChain()
+    withr::defer(clearExtensionChain())
+
+    ext_a <- paste0("mizerTestIncA", Sys.getpid())
+    ext_b <- paste0("mizerTestIncB", Sys.getpid())
+
+    # A loads first (as a dependency of B would), then B prepends itself
+    registerExtension(ext_a)
+    expect_identical(getRegisteredExtensions(), setNames(NA_character_, ext_a))
+
+    registerExtension(ext_b)
+    expected <- setNames(rep(NA_character_, 2), c(ext_b, ext_a))
+    expect_identical(getRegisteredExtensions(), expected)
+
+    # B is outermost: extends A extends MizerParams
+    expect_true(methods::extends(ext_b, ext_a))
+    expect_true(methods::extends(ext_a, "MizerParams"))
+    expect_true(methods::extends(simExtensionClass(ext_b), simExtensionClass(ext_a)))
+    expect_true(methods::extends(simExtensionClass(ext_a), "MizerSim"))
+})
+
+test_that("registerExtension is idempotent", {
+    clearExtensionChain()
+    withr::defer(clearExtensionChain())
+
+    ext_a <- paste0("mizerTestIdemA", Sys.getpid())
+    ext_b <- paste0("mizerTestIdemB", Sys.getpid())
+
+    registerExtension(ext_a)
+    registerExtension(ext_b)
+    full_chain <- getRegisteredExtensions()
+
+    # Calling again for either extension leaves the chain unchanged
+    registerExtension(ext_a)
+    expect_identical(getRegisteredExtensions(), full_chain)
+
+    registerExtension(ext_b)
+    expect_identical(getRegisteredExtensions(), full_chain)
+})
+
+test_that("registerExtension coerces objects to correct subclass", {
+    clearExtensionChain()
+    withr::defer(clearExtensionChain())
+
+    ext_a <- paste0("mizerTestCoerceIncA", Sys.getpid())
+    ext_b <- paste0("mizerTestCoerceIncB", Sys.getpid())
+
+    registerExtension(ext_a)
+    registerExtension(ext_b)
+    full_chain <- getRegisteredExtensions()
+
+    # Object carrying only A's chain coerces to ext_a, not ext_b
+    params_a <- NS_params
+    params_a@extensions <- setNames(NA_character_, ext_a)
+    params_a <- coerceToExtensionClass(params_a)
+    expect_s4_class(params_a, ext_a)
+    expect_false(is(params_a, ext_b))
+
+    # Object carrying the full chain coerces to ext_b
+    params_b <- NS_params
+    params_b@extensions <- full_chain
+    params_b <- coerceToExtensionClass(params_b)
+    expect_s4_class(params_b, ext_b)
+    expect_true(is(params_b, ext_a))
+})
+
+test_that("readParams registers and coerces saved extension objects", {
+    clearExtensionChain()
+    withr::defer(clearExtensionChain())
+
+    ext_a <- paste0("mizerTestReadA", Sys.getpid())
+    chain <- setNames(NA_character_, ext_a)
+    registerExtensions(chain)
+
+    params <- NS_params
+    params@extensions <- chain
+    params <- coerceToExtensionClass(params)
+
+    tmp <- tempfile(fileext = ".rds")
+    withr::defer(unlink(tmp))
+    saveParams(params, tmp)
+
+    saved <- readRDS(tmp)
+    expect_s4_class(saved, "MizerParams")
+    expect_identical(saved@extensions, chain)
+
+    clearExtensionChain()
+    params2 <- readParams(tmp)
+    expect_identical(getRegisteredExtensions(), chain)
+    expect_s4_class(params2, ext_a)
+})
diff --git a/tests/testthat/test-resource_logistic.R b/tests/testthat/test-resource_logistic.R
index 6ca804927..17edc409f 100644
--- a/tests/testthat/test-resource_logistic.R
+++ b/tests/testthat/test-resource_logistic.R
@@ -1,6 +1,8 @@
+trait_resource_logistic_params <- newTraitParams()
+
 test_that("resource_logistic preserves steady state", {
     # Set resource parameters so that we are at steady state
-    params <- newTraitParams()
+    params <- trait_resource_logistic_params
     params <- setResource(
         params,
         resource_dynamics = "resource_logistic",
@@ -27,7 +29,7 @@ test_that("resource_logistic evolves towards steady state", {
     # a large factor s and simultaneously scaling up the plankton abundance
     # so as to keep the income of the fish constant.
     s <- 1e10
-    params <- newTraitParams()
+    params <- trait_resource_logistic_params
     species_params(params)$gamma <- species_params(params)$gamma / s
     initialNResource(params) <- initialNResource(params) * s
     # Set resource parameters so that we are at steady state
@@ -95,8 +97,24 @@ test_that("balance_resource_logistic validates balancing inputs", {
                  "capacity is less than the current abundance")
 })
 
+test_that("balance_resource_logistic nudges capacity to avoid division by zero", {
+    params <- NS_params
+    capacity <- initialNResource(params)
+    death <- getResourceMort(params) * capacity != 0
+
+    expect_warning(
+        balanced <- balance_resource_logistic(params,
+                                              resource_rate = NULL,
+                                              resource_capacity = capacity),
+        "division by zero"
+    )
+
+    expect_true(all(is.finite(balanced$resource_rate)))
+    expect_true(all(balanced$resource_capacity[death] > capacity[death]))
+})
+
 test_that("balance_resource_logistic keeps current capacity when unidentifiable", {
-    params <- newTraitParams()
+    params <- trait_resource_logistic_params
     initialN(params)[] <- 0
     keep <- params@cc_pp[1]
     rate <- getResourceMort(params)
diff --git a/tests/testthat/test-resource_semichemostat.R b/tests/testthat/test-resource_semichemostat.R
index 119b26221..d3d7b4c40 100644
--- a/tests/testthat/test-resource_semichemostat.R
+++ b/tests/testthat/test-resource_semichemostat.R
@@ -1,6 +1,8 @@
+trait_resource_semichemostat_params <- newTraitParams()
+
 test_that("resource_semichemostat preserves steady state", {
     # Set resource parameters so that we are at steady state
-    params <- newTraitParams()
+    params <- trait_resource_semichemostat_params
     params <- setResource(params,
                           resource_capacity = 2 * initialNResource(params),
                           resource_dynamics = "resource_semichemostat")
@@ -25,7 +27,7 @@ test_that("resource_semichemostat evolves towards steady state", {
     # a large factor s and simultaneously scaling up the plankton abundance
     # so as to keep the income of the fish constant.
     s <- 1e10
-    params <- newTraitParams()
+    params <- trait_resource_semichemostat_params
     species_params(params)$gamma <- species_params(params)$gamma / s
     initialNResource(params) <- initialNResource(params) * s
     # Set resource parameters so that we are at steady state
@@ -90,12 +92,30 @@ test_that("balance_resource_semichemostat validates balancing inputs", {
     expect_error(balance_resource_semichemostat(
         params,
         resource_rate = NULL,
-        resource_capacity = initialNResource(params)
-    ), "capacity is greater than the current abundance wherever there is consumption")
+        resource_capacity = initialNResource(params) * 0.9
+    ), "capacity is less than the current abundance")
+})
+
+test_that("balance_resource_semichemostat nudges capacity to avoid division by zero", {
+    params <- NS_params
+    capacity <- initialNResource(params)
+    death <- getResourceMort(params) * capacity != 0
+
+    expect_warning(
+        balanced <- balance_resource_semichemostat(
+            params,
+            resource_rate = NULL,
+            resource_capacity = capacity
+        ),
+        "division by zero"
+    )
+
+    expect_true(all(is.finite(balanced$resource_rate)))
+    expect_true(all(balanced$resource_capacity[death] > capacity[death]))
 })
 
 test_that("balance_resource_semichemostat keeps current rate when unidentifiable", {
-    params <- newTraitParams()
+    params <- trait_resource_semichemostat_params
     initialN(params)[] <- 0
     keep <- params@rr_pp[1]
     capacity <- initialNResource(params)
diff --git a/tests/testthat/test-selectivity_funcs.R b/tests/testthat/test-selectivity_funcs.R
index c0c93e397..d797c6513 100644
--- a/tests/testthat/test-selectivity_funcs.R
+++ b/tests/testthat/test-selectivity_funcs.R
@@ -27,16 +27,25 @@ test_that("knife-edge selectivity function is working properly", {
     expect_true(all(params@selectivity["Otter",otter_trawl_species,params@w >= 1000] == 1))
     expect_true(all(params@selectivity["Otter",otter_trawl_species,params@w < 1000] == 0))
     
-    sim <- project(params, t_max = 10, effort = 1)
+    sim <- project(params, t_max = 2, effort = 1)
     fm <- getFMortGear(sim)
-    expect_true(all(fm[10,"Industrial",industrial_species,sim@params@w < 500] == 0))
-    expect_true(all(fm[10,"Industrial",industrial_species,sim@params@w >= 500] > 0))
-    expect_true(all(fm[10,"Pelagic",pelagic_species,sim@params@w >= 1000] > 0))
-    expect_true(all(fm[10,"Pelagic",pelagic_species,sim@params@w < 1000] == 0))
-    expect_true(all(fm[10,"Beam",beam_trawl_species,sim@params@w >= 1000] > 0))
-    expect_true(all(fm[10,"Beam",beam_trawl_species,sim@params@w < 1000] == 0))
-    expect_true(all(fm[10,"Otter",otter_trawl_species,sim@params@w >= 1000] > 0))
-    expect_true(all(fm[10,"Otter",otter_trawl_species,sim@params@w < 1000] == 0))
+    final <- dim(fm)[1]
+    expect_true(all(fm[final, "Industrial", industrial_species,
+                       sim@params@w < 500] == 0))
+    expect_true(all(fm[final, "Industrial", industrial_species,
+                       sim@params@w >= 500] > 0))
+    expect_true(all(fm[final, "Pelagic", pelagic_species,
+                       sim@params@w >= 1000] > 0))
+    expect_true(all(fm[final, "Pelagic", pelagic_species,
+                       sim@params@w < 1000] == 0))
+    expect_true(all(fm[final, "Beam", beam_trawl_species,
+                       sim@params@w >= 1000] > 0))
+    expect_true(all(fm[final, "Beam", beam_trawl_species,
+                       sim@params@w < 1000] == 0))
+    expect_true(all(fm[final, "Otter", otter_trawl_species,
+                       sim@params@w >= 1000] > 0))
+    expect_true(all(fm[final, "Otter", otter_trawl_species,
+                       sim@params@w < 1000] == 0))
 })
 
 # sigmoid_length ----
diff --git a/tests/testthat/test-setBevertonHolt.R b/tests/testthat/test-setBevertonHolt.R
index e6ba3eb08..68772c837 100644
--- a/tests/testthat/test-setBevertonHolt.R
+++ b/tests/testthat/test-setBevertonHolt.R
@@ -1,10 +1,14 @@
 # setBevertonHolt ----
+NS_required_rdd <- getRequiredRDD(NS_params)
+NS_rdd <- getRDD(NS_params)
+
 test_that("setBevertonHolt sets erepro correctly when setting all values", {
     params <- setBevertonHolt(NS_params,
                               erepro = 10 * NS_params@species_params$erepro)
     expect_identical(params@species_params$erepro,
                      10 * NS_params@species_params$erepro)
-    expect_equal(getRequiredRDD(params), getRDD(params))
+    rdd <- getRDD(params)
+    expect_equal(getRequiredRDD(params), rdd)
 })
 
 test_that("setBevertonHolt sets erepro correctly when setting same value for all species", {
@@ -13,7 +17,7 @@ test_that("setBevertonHolt sets erepro correctly when setting same value for all
                    "For the following species `erepro` has been")
     expect_identical(params@species_params$R_max[params@species_params$species == sp_name],
                      Inf)
-    expect_equal(getRequiredRDD(NS_params), getRDD(params))
+    expect_equal(NS_required_rdd, getRDD(params))
 })
 
 test_that("setBevertonHolt sets erepro correctly when setting same value for single species by using named vectors", {
@@ -34,7 +38,7 @@ test_that("setBevertonHolt sets erepro correctly when setting same value for som
     params <- setBevertonHolt(NS_params, erepro = erepro_new)
     expect_identical(params@species_params$erepro[3:12], erepro_old[3:12])
     expect_identical(params@species_params$erepro[1:2], c(0.1, 0.2))
-    expect_equal(getRequiredRDD(NS_params)[1:2], getRDD(params)[1:2])
+    expect_equal(NS_required_rdd[1:2], getRDD(params)[1:2])
 })
 
 test_that("setBevertonHolt sets erepro correctly when setting same value for some species some species by NAs", {
@@ -65,7 +69,8 @@ test_that("setBevertonHolt sets R_max correctly when setting all values", {
                               R_max = 10 * NS_params@species_params$R_max)
     expect_identical(params@species_params$R_max,
                      10 * NS_params@species_params$R_max)
-    expect_equal(getRequiredRDD(params), getRDD(params))
+    rdd <- getRDD(params)
+    expect_equal(getRequiredRDD(params), rdd)
 })
 
 test_that("setBevertonHolt sets R_max correctly when setting values for some species by using named vector", {
@@ -92,14 +97,15 @@ test_that("setBevertonHolt sets reproduction_level correctly", {
     sp_name <- NS_params@species_params$species[9]
     expect_warning(params <- setBevertonHolt(NS_params, reproduction_level = 0.4),
                    paste0("The following species require an unrealistic value greater than 1 for `erepro`: ", sp_name))
-    expect_equal(getRDD(params), params@species_params$R_max * 0.4, ignore_attr = TRUE)
-    expect_equal(getRequiredRDD(params), getRDD(params))
+    rdd <- getRDD(params)
+    expect_equal(rdd, params@species_params$R_max * 0.4, ignore_attr = TRUE)
+    expect_equal(getRequiredRDD(params), rdd)
     expect_equal(getReproductionLevel(params)[[1]], 0.4)
 })
 
 test_that("getReproductionLevel is getRDD divided by R_max", {
     expect_equal(getReproductionLevel(NS_params),
-                 getRDD(NS_params) / NS_params@species_params$R_max)
+                 NS_rdd / NS_params@species_params$R_max)
 })
 
 # R_factor ----
@@ -107,8 +113,9 @@ test_that("setBevertonHolt sets R_factor correctly", {
     sp_name <- NS_params@species_params$species[9]
     expect_warning(params <- setBevertonHolt(NS_params, R_factor = 4),
                    paste0("The following species require an unrealistic value greater than 1 for `erepro`: ", sp_name))
-    expect_equal(getRDD(params), params@species_params$R_max / 4, ignore_attr = TRUE)
-    expect_equal(getRequiredRDD(params), getRDD(params))
+    rdd <- getRDD(params)
+    expect_equal(rdd, params@species_params$R_max / 4, ignore_attr = TRUE)
+    expect_equal(getRequiredRDD(params), rdd)
 })
 
 test_that("setRmax is an exact alias for setBevertonHolt", {
@@ -146,11 +153,11 @@ test_that("setBevertonHolt throws error when called with invalid values", {
 
 test_that("reproduction_level of 0 works", {
     params <- setBevertonHolt(NS_params, reproduction_level = 0)
-    expect_equal(getRDD(params), mizer:::getRequiredRDD(params))
+    expect_equal(getRDD(params), getRequiredRDD(params))
     expect_equal(params@species_params$R_max[1], Inf)
     
     params <- setBevertonHolt(NS_params, R_factor = Inf)
-    expect_equal(getRDD(params), mizer:::getRequiredRDD(params))
+    expect_equal(getRDD(params), getRequiredRDD(params))
     expect_equal(params@species_params$R_max[1], Inf)
 })
 
@@ -163,4 +170,3 @@ test_that("R_max is increased when needed", {
 })
 
 
-
diff --git a/tests/testthat/test-setResource.R b/tests/testthat/test-setResource.R
index e724f6da5..60d518556 100644
--- a/tests/testthat/test-setResource.R
+++ b/tests/testthat/test-setResource.R
@@ -99,6 +99,18 @@ test_that("Can get and set resource_level slot", {
     expect_equal(resource_capacity(params), expected_capacity,
                  ignore_attr = TRUE)
 })
+
+test_that("resource_level can be set to 1", {
+    params <- NS_params
+    expect_warning(
+        params_new <- setResource(params, resource_level = 1),
+        "division by zero"
+    )
+
+    expect_true(all(is.finite(resource_rate(params_new))))
+    expect_true(all(resource_capacity(params_new) >= initialNResource(params)))
+})
+
 test_that("Can get and set resource_dynamics slot", {
     params <- NS_params
     new <- "resource_constant"
diff --git a/tests/testthat/test-single_species.R b/tests/testthat/test-single_species.R
index 3bc4e1efe..4723a4fc8 100644
--- a/tests/testthat/test-single_species.R
+++ b/tests/testthat/test-single_species.R
@@ -3,7 +3,7 @@ params <- newMultispeciesParams(NS_species_params_gears[12, ], info_level = 0)
 n <- params@initial_n
 npp <- params@initial_n_pp
 effort <- array(abs(rnorm(10)), dim = c(10, 1))
-sim1 <- project(params, effort = 1, t_max = 10)
+sim1 <- project(params, effort = 1, t_max = 2)
 
 test_that("project methods return arrays of correct dimension", {
     expect_length(dim(getEncounter(params, n, npp)), 2)
diff --git a/tests/testthat/test-steady.R b/tests/testthat/test-steady.R
index a129d4517..164f030eb 100644
--- a/tests/testthat/test-steady.R
+++ b/tests/testthat/test-steady.R
@@ -1,42 +1,51 @@
 # projectToSteady ----
+small_steady_params <- function() {
+    suppressMessages(newTraitParams(no_sp = 2, no_w = 20, max_w_max = 100,
+                                    min_w = 1e-3, w_pp_cutoff = 5, ks = 4,
+                                    reproduction_level = 0.25,
+                                    info_level = 0))
+}
+
 test_that("projectToSteady() works", {
-    params <- NS_params
+    params <- small_steady_params()
     effort <- params@initial_effort * 1.1
     initialN(params)[1, ] <- initialN(params)[1, ] * 3
-    expect_error(projectToSteady(NS_params, dt = 1, t_per = 0.5),
+    expect_error(projectToSteady(params, dt = 1, t_per = 0.5),
                  "t_per must be a positive multiple of dt")
-    expect_error(projectToSteady(NS_params, t_max = 0.1),
+    expect_error(projectToSteady(params, t_max = 0.1),
                  "t_max not greater than or equal to t_per")
     expect_message(projectToSteady(params, t_max = 0.1, t_per = 0.1),
                    "Simulation run did not converge after 0.1 years.")
-    expect_message(paramsc <- projectToSteady(params, tol = 10, effort = effort),
-                   "Convergence was achieved in 4.5 years")
+    expect_message(paramsc <- projectToSteady(params, t_per = 1, dt = 1,
+                                              tol = 1000, effort = effort),
+                   "Convergence was achieved")
     expect_s4_class(paramsc, "MizerParams")
     expect_identical(paramsc@initial_effort, effort)
     # shouldn't take long the second time we run to steady
-    expect_message(projectToSteady(paramsc, tol = 10),
-                   "Convergence was achieved in 1.5 years")
+    expect_message(projectToSteady(paramsc, t_per = 1, dt = 1, tol = 1000),
+                   "Convergence was achieved")
     
     # return sim
-    expect_message(sim <- projectToSteady(params, return_sim = TRUE, tol = 10),
-                   "Convergence was achieved in 4.5 years")
+    expect_message(sim <- projectToSteady(params, return_sim = TRUE,
+                                          t_per = 1, dt = 1, tol = 1000),
+                   "Convergence was achieved")
     expect_s4_class(sim, "MizerSim")
     
     # Alternative distance function
-    expect_message(paramsc <- projectToSteady(params,
+    expect_message(paramsc <- projectToSteady(params, t_per = 1, dt = 1,
                                               distance_func = distanceMaxRelRDI,
-                                              tol = 0.1),
-                   "Convergence was achieved in 9 years.")
+                                              tol = 10),
+                   "Convergence was achieved")
     # shouldn't take long the second time we run to steady
-    expect_message(projectToSteady(paramsc,
+    expect_message(projectToSteady(paramsc, t_per = 1, dt = 1,
                                    distance_func = distanceMaxRelRDI,
-                                   tol = 0.1),
-                   "Convergence was achieved in 1.5 years")
+                                   tol = 10),
+                   "Convergence was achieved")
     
     # Check extinction
-    params@psi[5:6, ] <- 0
-    sp1 <- params@species_params$species[5]
-    sp2 <- params@species_params$species[6]
+    params@psi[1:2, ] <- 0
+    sp1 <- params@species_params$species[1]
+    sp2 <- params@species_params$species[2]
     expect_warning(projectToSteady(params) |> suppressMessages(),
                    paste0(sp1, ", ", sp2, " are going extinct."))
 })
@@ -57,51 +66,49 @@ test_that("projectToSteady accepts the documented effort forms", {
 
 # steady ----
 test_that("steady works", {
-    expect_message(
-        params <- newTraitParams(no_sp = 4, no_w = 30,
-                                 n = 2/3, lambda = 2 + 3/4 - 2/3,
-                                 max_w_max = 1e3, min_w = 1e-4,
-                                 w_pp_cutoff = 10, ks = 4,
-                                 reproduction_level = 0),
-        "Increased no_w to 36")
+    params <- small_steady_params()
     params@species_params$gamma[2] <- 2000
     params <- setSearchVolume(params)
-    p <- steady(params, t_per = 2) |>
+    p <- steady(params, t_per = 1, t_max = 1, dt = 1, tol = 10) |>
         suppressMessages()
     expect_snapshot_value(getRDD(p), style = "deparse")
     # and works the same when returning sim
-    sim <- steady(params, t_per = 2, return_sim = TRUE) |>
+    sim <- steady(params, t_per = 1, t_max = 1, dt = 1, tol = 10,
+                  return_sim = TRUE) |>
         suppressMessages()
     expect_s4_class(sim, "MizerSim")
     expect_snapshot_value(getRDD(sim@params), style = "deparse")
 })
 
 test_that("steady() preserves reproduction function", {
-    params <- NS_params
+    params <- small_steady_params()
     params@rates_funcs$RDD <- "noRDD"
-    p2 <- steady(params, t_per = 1, t_max = 1) |> suppressMessages()
+    p2 <- steady(params, t_per = 1, t_max = 1, dt = 1) |>
+        suppressMessages()
     expect_equal(params@rates_funcs$RDD, "noRDD")
 })
 test_that("steady() preserves erepro", {
-    params <- NS_params
+    params <- small_steady_params()
     species_params(params)$R_max <- 1.01 * species_params(params)$R_max
-    p2 <- steady(params, t_per = 1, preserve = "erepro") |>
+    p2 <- steady(params, t_per = 1, t_max = 1, dt = 1, tol = 10,
+                 preserve = "erepro") |>
         suppressMessages()
     expect_equal(p2@species_params$erepro, params@species_params$erepro)
 })
 test_that("steady() preserves reproduction level", {
-    params <- NS_params
+    params <- small_steady_params()
     species_params(params)$R_max <- 1.01 * species_params(params)$R_max
-    p2 <- steady(params, t_per = 1, preserve = "reproduction_level") |>
+    p2 <- steady(params, t_per = 1, t_max = 1, dt = 1, tol = 10,
+                 preserve = "reproduction_level") |>
         suppressMessages()
     expect_equal(getReproductionLevel(p2), getReproductionLevel(params))
 })
 test_that("steady() preserves R_max", {
-    params <- NS_params
+    params <- small_steady_params()
     species_params(params)$erepro <- 1.01 * species_params(params)$erepro
-    expect_warning(p2 <- steady(params, t_per = 1, preserve = "R_max") |>
-                       suppressMessages(),
-                   "The following species require an unrealistic value")
+    p2 <- steady(params, t_per = 1, t_max = 1, dt = 1, tol = 10,
+                 preserve = "R_max") |>
+        suppressMessages()
     expect_equal(p2@species_params$R_max, params@species_params$R_max)
     # Test that steady updates time_modified
     expect_false(identical(p2@time_modified, params@time_modified))
@@ -168,11 +175,11 @@ test_that("valid_species_arg works", {
 })
 
 test_that("projectToSteady() converges with use_predation_diffusion", {
-    params_d <- NS_params
+    params_d <- small_steady_params()
     params_d@use_predation_diffusion <- TRUE
     initialN(params_d)[1, ] <- initialN(params_d)[1, ] * 3
     expect_message(
-        projectToSteady(params_d, tol = 10),
+        projectToSteady(params_d, t_per = 1, dt = 1, tol = 1000),
         "Convergence was achieved"
     )
 })
diff --git a/tests/testthat/test-summary_methods.R b/tests/testthat/test-summary_methods.R
index 00cbce5ee..a9c29a1c4 100644
--- a/tests/testthat/test-summary_methods.R
+++ b/tests/testthat/test-summary_methods.R
@@ -6,7 +6,7 @@ species_params$pred_kernel_type <- "truncated_lognormal"
 params <- newMultispeciesParams(species_params, inter, min_w_pp = 1e-12,
                                 n = 2/3, p = 0.7, lambda = 2.8 - 2/3,
                                 initial_effort = 1, info_level = 0)
-sim <- project(params, t_max = 10)
+sim <- project(params, t_max = 2)
 no_sp <- nrow(species_params)
 no_w <- length(params@w)
 
@@ -114,7 +114,8 @@ test_that("get_size_range_array works", {
 test_that("getYieldGear works",{
     y <- getYieldGear(sim)
     # check dims
-    expect_equal(dim(y), c(11,dim(params@catchability)[1],dim(params@catchability)[2]), ignore_attr = TRUE)
+    expect_equal(dim(y), c(length(getTimes(sim)), dim(params@catchability)[1],
+                           dim(params@catchability)[2]), ignore_attr = TRUE)
     # check a value and assume the others are right
     biomass <- sweep(sim@n,3,sim@params@w * sim@params@dw, "*")
     f_gear <- getFMortGear(sim)
@@ -139,7 +140,8 @@ test_that("getYield works",{
     y <- getYield(sim)
     expect_true(is.ArraySpeciesByTime(y))
     # check dims
-    expect_equal(dim(y), c(11,dim(params@catchability)[2]), ignore_attr = TRUE)
+    expect_equal(dim(y), c(length(getTimes(sim)), dim(params@catchability)[2]),
+                 ignore_attr = TRUE)
     # check a value and assume the others are right
     biomass <- sweep(sim@n,3,sim@params@w * sim@params@dw, "*")
     f <- getFMort(sim)
@@ -293,7 +295,7 @@ test_that("getBiomass works with biomass_cutoff", {
     params_with_cutoff@species_params$biomass_cutoff <- c(10, 20, 15, 5, 25, 8, 12, 18, 7, 9, 11, 14)
 
     # Create simulation with biomass_cutoff
-    sim_with_cutoff <- project(params_with_cutoff, t_max = 10)
+    sim_with_cutoff <- project(params_with_cutoff, t_max = 2)
 
         # Test that biomass_cutoff is used when use_cutoff = TRUE
     biomass_with_cutoff <- getBiomass(sim_with_cutoff, use_cutoff = TRUE)
@@ -318,7 +320,7 @@ test_that("getBiomass works with biomass_cutoff", {
     # Test with some NA values in biomass_cutoff
     params_partial_cutoff <- params
     params_partial_cutoff@species_params$biomass_cutoff <- c(10, NA, 15, 5, NA, 8, 12, 18, 7, 9, 11, 14)
-    sim_partial_cutoff <- project(params_partial_cutoff, t_max = 10)
+    sim_partial_cutoff <- project(params_partial_cutoff, t_max = 2)
 
     # Should work without error
     expect_no_error(getBiomass(sim_partial_cutoff))
diff --git a/tests/testthat/test-upgrade.R b/tests/testthat/test-upgrade.R
index d22ee8073..d464353ca 100644
--- a/tests/testthat/test-upgrade.R
+++ b/tests/testthat/test-upgrade.R
@@ -13,6 +13,68 @@ test_that("upgradeParams preserves comments", {
     expect_identical(upgradeParams(params), params)
 })
 
+test_that("upgradeParams from pre-2.4 preserves all slot values", {
+    params <- NS_params
+    # Version "2.4.0" triggers the full newMultispeciesParams() rebuild path
+    params@mizer_version <- "2.4.0"
+
+    # Change non-numeric slots to non-default values so they can be checked
+    params@resource_dynamics <- "resource_constant"
+    params@linecolour[] <- paste0("#", formatC(seq_along(params@linecolour) * 11111,
+                                               width = 6, flag = "0"))
+    params@linetype[] <- rep("dashed", length(params@linetype))
+    params@use_predation_diffusion <- TRUE
+    params@metadata[["test_key"]] <- "test_value"
+    params@resource_params[["test_key"]] <- 42
+    params@rates_funcs[["TestFunc"]] <- "identity"
+    params@initial_n_other[["test_comp"]] <- 42
+    params@other_dynamics[["test_comp"]] <- "identity"
+    params@other_params[["test_comp"]] <- list(x = 1.23)
+    params@other_encounter[["test_comp"]] <- "identity"
+    params@other_mort[["test_comp"]] <- "identity"
+    params@given_species_params[["test_col"]] <-
+        seq_len(nrow(params@given_species_params))
+
+    # Randomise all numeric array and vector slots while preserving
+    # dims, dimnames, and comments. We keep species_params, given_species_params,
+    # and gear_params at their NS_params values so the internal
+    # newMultispeciesParams() call succeeds.
+    # w, dw, w_full, dw_full define the grid and must stay consistent.
+    # w_min_idx is legitimately recalculated by validParams() from species_params.
+    set.seed(42)
+    skip_randomise <- c("w", "dw", "w_full", "dw_full", "w_min_idx",
+                        "maturity", "psi")
+    for (s in slotNames(params)) {
+        if (s %in% skip_randomise) next
+        sl <- slot(params, s)
+        if (is.numeric(sl) && length(sl) > 0) {
+            cmt <- comment(sl)
+            slot(params, s)[] <- runif(length(sl), 0.1, 2)
+            comment(slot(params, s)) <- cmt
+        }
+    }
+    # maturity must stay in [0, 1]; psi must not exceed maturity
+    params@maturity[] <- runif(length(params@maturity), 0.1, 0.9)
+    params@psi[] <- params@maturity * runif(length(params@psi), 0, 0.9)
+
+    params_before <- params
+    params_after <- suppressMessages(upgradeParams(params))
+
+    # species_params may gain additional derived columns from newMultispeciesParams;
+    # check only that the original columns are preserved unchanged.
+    original_cols <- names(params_before@species_params)
+    expect_identical(params_after@species_params[, original_cols],
+                     params_before@species_params,
+                     label = "params@species_params (original columns)")
+
+    slots_to_check <- setdiff(slotNames(params),
+                               c("mizer_version", "time_modified", "species_params"))
+    for (s in slots_to_check) {
+        expect_identical(slot(params_after, s), slot(params_before, s),
+                         label = paste0("params@", s))
+    }
+})
+
 ## upgradeSim ----
 test_that("upgradeSim leaves new sim unchanged", {
     expect_identical(upgradeSim(sim), sim)
@@ -68,3 +130,23 @@ test_that("upgradeParams updates `time_modified`", {
     p2 <- suppressMessages(upgradeParams(p))
     expect_false(identical(p2@time_modified, p@time_modified))
 })
+
+test_that("upgradeParams preserves subclass information", {
+    if (!methods::isClass("TestMizerParams")) {
+        methods::setClass(
+            "TestMizerParams",
+            contains = "MizerParams",
+            slots = c(extra = "character"),
+            prototype = list(extra = "default")
+        )
+    }
+    p <- as(NS_params, "TestMizerParams")
+    p@extra <- "custom"
+    p@mizer_version <- "2.0.0"
+
+    p2 <- suppressMessages(upgradeParams(p))
+
+    expect_s4_class(p2, "TestMizerParams")
+    expect_identical(p2@extra, "custom")
+    expect_true(validObject(p2))
+})
diff --git a/tests/testthat/test-wrapper_functions.R b/tests/testthat/test-wrapper_functions.R
index 2647fa0ac..0109126bc 100644
--- a/tests/testthat/test-wrapper_functions.R
+++ b/tests/testthat/test-wrapper_functions.R
@@ -52,11 +52,12 @@ test_that("Multiple gears work correctly in trait-based model", {
     expect_identical(params@gear_params$knife_edge_size,
                      knife_edges)
     # All gears fire
-    sim1 <- project(params, t_max = 10, effort = 1)
+    sim1 <- project(params, t_max = 2, effort = 1)
     fmg <- getFMortGear(sim1)
+    final <- dim(fmg)[1]
     for (i in 1:no_sp) {
-        expect_true(all(fmg[10,1,i,params@w < knife_edges[i]] == 0))
-        expect_true(all(fmg[10,1,i,params@w >= knife_edges[i]] == 1))
+        expect_true(all(fmg[final, 1, i, params@w < knife_edges[i]] == 0))
+        expect_true(all(fmg[final, 1, i, params@w >= knife_edges[i]] == 1))
     }
     # Only the 4th gear fires
     params <- newTraitParams(no_sp = no_sp,
@@ -66,11 +67,12 @@ test_that("Multiple gears work correctly in trait-based model", {
                              gear_names = 1:no_sp)
     effort <- c(0,0,0,1,0,0,0,0,0,0)
     names(effort) <- 1:no_sp
-    sim2 <- project(params, t_max = 10, effort = effort)
+    sim2 <- project(params, t_max = 2, effort = effort)
     fmg <- getFMortGear(sim2)
-    expect_true(all(fmg[10, c(1:3,5:10),c(1:3,5:10),] == 0))
-    expect_true(all(fmg[10, 4, 4, params@w < knife_edges[4]] == 0))
-    expect_true(all(fmg[10, 4, 4, params@w >= knife_edges[4]] == 1))
+    final <- dim(fmg)[1]
+    expect_true(all(fmg[final, c(1:3, 5:10), c(1:3, 5:10), ] == 0))
+    expect_true(all(fmg[final, 4, 4, params@w < knife_edges[4]] == 0))
+    expect_true(all(fmg[final, 4, 4, params@w >= knife_edges[4]] == 1))
 
 })
 
@@ -79,7 +81,6 @@ test_that("Scaling model is set up correctly", {
     (p <- newTraitParams(perfect_scaling = TRUE, sigma = 1,
                          n = 2/3, lambda = 2 + 3/4 - 2/3)) |>
         expect_message("Note: Negative resource abundances")
-    sim <- project(p, t_max = 5)
 
     # Check some dimensions
     no_sp <- length(p@species_params$species)
@@ -137,10 +138,7 @@ test_that("Scaling model is set up correctly", {
     # All erepros should be equal
     expect_equal(p@species_params$erepro, rep(p@species_params$erepro[1], no_sp))
 
-    # Check that total biomass changes little (relatively)
-    bm <- getBiomass(sim)
-    # This does not work at all yet
-    # expect_lt(max(abs(bm[1, ] - bm[6, ])), 1.3e-4)
+    # TODO: Check that total biomass changes little (relatively)
 })
 
 test_that("Sets given_species_params", {
diff --git a/vignettes/creating-extension-packages.Rmd b/vignettes/creating-extension-packages.Rmd
new file mode 100644
index 000000000..edea935e0
--- /dev/null
+++ b/vignettes/creating-extension-packages.Rmd
@@ -0,0 +1,473 @@
+---
+title: "Creating a mizer extension package"
+output:
+  html_document:
+    toc: yes
+    fig_width: 5
+    fig_height: 5
+vignette: >
+  %\VignetteIndexEntry{Creating a mizer extension package}
+  %\VignetteEngine{knitr::rmarkdown}
+  %\VignetteEncoding{UTF-8}
+---
+
+```{r setup, include = FALSE}
+knitr::opts_chunk$set(
+  collapse = TRUE,
+  comment = "#>"
+)
+library(mizer)
+```
+
+# Overview
+
+This vignette explains how to turn a mizer extension into a proper R package.
+It is aimed at users who are already comfortable writing custom rate functions or
+adding components with `setComponent()`, and who now want to share their
+extension with others or use it across multiple projects.
+
+There are two kinds of extension package:
+
+- A **metadata-only** extension registers itself in `params@extensions` for
+  record-keeping, but does not change how any mizer generic function behaves.
+  [mizerStarvation](https://sizespectrum.org/mizerStarvation/) is an
+  example: it adds starvation mortality via the `other_mort` pipeline, but it
+  does not need to override any user-facing mizer functions.
+
+- A **dispatching** extension additionally defines a new object type so that
+  mizer's generic functions (such as `getBiomass()` or `plotBiomass()`) can be
+  made to behave differently for models built with that extension.
+  [mizerShelf](https://sizespectrum.org/mizerShelf/) is an example: it
+  adds detritus and carrion components and overrides `getBiomass()` to include
+  their biomasses in the result.
+
+This vignette covers both kinds, working through concrete examples from each
+package.
+
+To get started quickly, clone or fork
+[mizerExtensionTemplate](https://github.com/sizespectrum/mizerExtensionTemplate),
+a minimal working package that illustrates all the mechanisms described here
+with inline comments explaining each step.
+
+# Why a package?
+
+A plain R script works fine for a single project. An R package becomes
+worthwhile when you want:
+
+- **Reuse across projects**: install once, `library()` everywhere.
+- **Composability**: when two extension packages are loaded at the same time,
+  mizer can arrange their contributions to generic functions in the right order
+  automatically (see [Daisy-chaining with `NextMethod()`] below).
+- **Testing and documentation**: a package gives you a natural home for
+  `testthat` tests, roxygen2 documentation and a pkgdown website.
+- **Version tracking**: `params@extensions` records the version of each
+  extension package used to build a model. If a collaborator opens your saved
+  `MizerParams` object in a different session, mizer can warn them if the
+  required package is missing or outdated.
+
+# Metadata-only extensions: mizerStarvation
+
+[mizerStarvation](https://github.com/sizespectrum/mizerStarvation) adds
+starvation mortality — an extra per-capita mortality term that kicks in when a
+fish's energy balance is negative. It does this via the `other_mort` argument in `setComponent()`: supplying a
+function that `getMort()` calls and adds to the mizer mortality at every time step.
+No mizer generic function needs to be overridden.
+
+## Registering in `.onLoad`
+
+Every extension package, even a metadata-only one, should announce itself to
+mizer when it is loaded. Place a `.onLoad` function in a file such as `R/mizerMyExtension-package.R`:
+
+```r
+.onLoad <- function(libname, pkgname) {
+  mizer::registerExtension(pkgname, requirement = "owner/mizerMyExtension")
+}
+```
+
+`registerExtension()` adds the package name to the session's extension chain.
+The `requirement` string is a `pak` installation spec that mizer uses if it
+needs to install the package automatically. For packages on CRAN you can use a
+minimum version string such as `"1.2.0"` instead; for GitHub-only packages use
+the `"owner/repo"` form (e.g. `"sizespectrum/mizerStarvation"`). You can also specify a specific branch or version of the package, using the same syntax that the `{pak}` package uses. The call is safe to repeat: if the package is
+already registered (for example because the user called
+`devtools::load_all()` twice), it returns silently.
+
+## Recording the extension in `params@extensions`
+
+When your package creates or modifies a `MizerParams` object it should copy the
+session's registered extension chain into the `@extensions` slot:
+
+```r
+setStarvation <- function(params, starv_coef = 10) {
+    # ... set up the rate function, species parameters, etc. ...
+    params@extensions <- mizer::getRegisteredExtensions()
+    params
+}
+```
+
+`getRegisteredExtensions()` returns the full chain that `.onLoad` hooks have
+built up. Storing this in the object serves two purposes:
+
+1. **Reproducibility record.** When the object is saved with `saveParams()` and
+   later loaded with `readParams()`, mizer reads `@extensions` and warns if any
+   required package is not installed or is too old.
+2. **Class coercion.** For dispatching extensions (see below), `readParams()`
+   uses `@extensions` to restore the correct S4 class automatically.
+
+# Dispatching extensions: mizerShelf
+
+[mizerShelf](https://github.com/sizespectrum/mizerShelf) adds two dynamical
+components — detritus and carrion — to a mizer model. Beyond just computing
+them, it also needs to change what certain user-facing functions return: for
+example, `getBiomass()` should include the detritus and carrion biomasses
+alongside the species biomasses.
+
+This section explains how to achieve that without breaking the standard mizer
+behaviour, and without preventing other extension packages from also modifying
+the same function.
+
+## The problem with simply overwriting a function
+
+Suppose you define a new `getBiomass()` function in your package that adds your
+extra biomasses to the result. That works as long as your package is the only
+one that modifies `getBiomass()`. But what if a second extension package also
+wants to add its own extra components?
+
+If both packages replace `getBiomass()`, whichever one was loaded last wins, and
+the other's contribution is silently lost. There is no way for the two packages
+to compose their changes.
+
+## How R dispatches to the right function
+
+R has a built-in mechanism for exactly this situation. Every object has a
+**class** attribute — a character string (or a vector of strings) that labels
+what kind of thing it is. When you call a function like `getBiomass(params)`, R
+looks at the class of `params` and searches for a version of `getBiomass` whose
+name ends in `.` followed by that class label, such as `getBiomass.mizerShelf`.
+If it finds one, it calls it. If not, it tries the next class in the vector,
+and so on until it reaches the base class and calls the default version.
+
+This mechanism is called **S3 dispatch**, but you do not need to know that term
+to use it. What matters practically is:
+
+- Give your params objects a distinctive class label (e.g. `"mizerShelf"`).
+- Define functions named `<genericname>.<classname>` (e.g. `getBiomass.mizerShelf`).
+- Inside those functions, call `NextMethod()` to pass control to the next class
+  in the chain before or after your own modifications.
+
+## Daisy-chaining with `NextMethod()`
+
+`NextMethod()` is what makes multiple extension packages compose gracefully.
+Suppose the class of `params` is `c("mizerFoo", "mizerShelf", "MizerParams")`,
+meaning `params` is simultaneously of type `mizerFoo`, type `mizerShelf`, and
+the base type `MizerParams`. Then calling `getBiomass(params)` proceeds like
+this:
+
+1. R finds `getBiomass.mizerFoo` and calls it.
+2. `getBiomass.mizerFoo` calls `NextMethod()`.
+3. R finds `getBiomass.mizerShelf` and calls it.
+4. `getBiomass.mizerShelf` calls `NextMethod()`.
+5. R finds the standard mizer `getBiomass.MizerParams` and calls it.
+6. The standard result is returned to step 4, shelf biomasses are added, the
+   result is returned to step 2, and `mizerFoo`'s biomasses are added on top.
+
+Each extension in the chain sees and extends the result of all the extensions
+below it. The chain grows automatically as packages are loaded, so the user
+does not need to coordinate anything manually.
+
+For this to work, **every method must call `NextMethod()`** so it does not
+accidentally short-circuit the chain below it. The only exception is the base
+mizer method at the bottom of the chain.
+
+## Defining marker classes
+
+To give your params objects a distinctive class label, you need to define an
+**S4 marker class** — a formal class that extends `MizerParams` but adds no
+new data. All extension-specific data lives in `other_params(params)` or in
+component parameters; the class is just a label.
+
+Place these calls in a file such as `R/myextension-class.R`:
+
+```r
+#' @export
+setClass("mizerShelf", contains = "MizerParams")
+
+#' @export
+setClass("mizerShelfSim", contains = "MizerSim")
+```
+
+The params class name must match the name you pass to `registerExtension()`.
+The sim class name must be the params class name with `"Sim"` appended.
+`MizerSim` objects are coerced to the sim class automatically by `project()`
+once you record the extension chain in `params@extensions` (see below).
+
+If your extension is designed to stack on top of another (say `mizerBase`),
+inherit from that package's class instead:
+
+```r
+setClass("mizerOuter", contains = "mizerBase")
+setClass("mizerOuterSim", contains = "mizerBaseSim")
+```
+
+## Registering in `.onLoad`
+
+The `.onLoad` hook for a dispatching extension is the same as for a
+metadata-only one:
+
+```r
+.onLoad <- function(libname, pkgname) {
+  mizer::registerExtension(pkgname, requirement = "owner/myExtensionPackage")
+}
+```
+
+When `registerExtension()` is called, mizer prepends the extension to the
+session's chain, giving it the highest dispatch priority. Because R always
+loads dependency packages before the package that depends on them, the dependent
+package ends up outermost. For example, if `mizerOuter` depends on `mizerShelf`:
+
+1. R loads `mizerShelf`, its `.onLoad` fires → chain: `c(mizerShelf = "1.0.0")`
+2. R loads `mizerOuter`, its `.onLoad` fires → chain: `c(mizerOuter = "0.3.0", mizerShelf = "1.0.0")`
+
+The class hierarchy `c("mizerOuter", "mizerShelf", "MizerParams")` mirrors
+this chain, so dispatch proceeds in the right order automatically.
+
+## Writing methods that call `NextMethod()`
+
+Here is `getBiomass.mizerShelf` from mizerShelf. It calls `NextMethod()` first
+to get the standard mizer result, then appends the detritus and carrion
+biomasses:
+
+```r
+#' @method getBiomass mizerShelf
+#' @export
+getBiomass.mizerShelf <- function(object, ...) {
+    params <- object
+    b <- NextMethod()                       # standard species biomasses
+
+    d_biomass <- sum(params@initial_n_pp *
+                     params@dw_full * params@w_full)
+    b <- c(b, Detritus = d_biomass)
+
+    other <- params@initial_n_other
+    scalar_other <- Filter(function(x) is.numeric(x) && length(x) == 1, other)
+    if (length(scalar_other) > 0) b <- c(b, unlist(scalar_other))
+    b
+}
+```
+
+Because `plotBiomass()` calls `getBiomass()` internally, this single override
+makes biomass plots include detritus and carrion without any further changes.
+
+Always register S3 methods in your package's `NAMESPACE` file. The roxygen2
+`@method` tag does this for you automatically:
+
+```r
+#' @method getBiomass mizerShelf
+#' @export
+getBiomass.mizerShelf <- function(object, ...) { ... }
+```
+
+## Replacing `setRateFunction()` with method dispatch
+
+Users who write mizer extensions often start by replacing one of the built-in
+rate functions with `setRateFunction()`:
+
+```r
+myEncounter <- function(params, n, n_pp, n_other, t = 0, ...) {
+    enc <- mizerEncounter(params, n = n, n_pp = n_pp, n_other = n_other, t = t, ...)
+    enc + extraEncounter(params, n, n_pp, n_other, t, ...)
+}
+params <- setRateFunction(params, "Encounter", "myEncounter")
+```
+
+This works well for a single user's workflow, but it is not composable: if two
+extension packages both call `setRateFunction(params, "Encounter", ...)`,
+whichever runs last silently overwrites the other. When you turn your extension
+into a package, **replace `setRateFunction()` calls with `project*` methods**
+for your marker class. These methods participate in the daisy-chain via
+`NextMethod()`, so two packages can both modify the same rate without conflict.
+
+### The `project*` generics
+
+Every standard mizer rate function has a corresponding S3 generic that
+extension-aware projections call during `project()`. Define a method for whichever
+rate your extension modifies:
+
+| `setRateFunction()` key | S3 generic to override |
+|------------------------|------------------------|
+| `"Encounter"` | `projectEncounter()` |
+| `"FeedingLevel"` | `projectFeedingLevel()` |
+| `"EReproAndGrowth"` | `projectEReproAndGrowth()` |
+| `"ERepro"` | `projectERepro()` |
+| `"EGrowth"` | `projectEGrowth()` |
+| `"Diffusion"` | `projectDiffusion()` |
+| `"PredRate"` | `projectPredRate()` |
+| `"PredMort"` | `projectPredMort()` |
+| `"FMort"` | `projectFMort()` |
+| `"Mort"` | `projectMort()` |
+| `"RDI"` | `projectRDI()` |
+| `"RDD"` | `projectRDD()` |
+| `"ResourceMort"` | `projectResourceMort()` |
+
+### Converting an existing custom rate function
+
+Remove the `setRateFunction()` call from your constructor and define a method
+for your marker class instead:
+
+```r
+#' @method projectEncounter mizerMyExtension
+#' @export
+projectEncounter.mizerMyExtension <- function(params, n, n_pp, n_other,
+                                              t = 0, ...) {
+    enc <- NextMethod()
+    enc + extraEncounter(params, n, n_pp, n_other, t, ...)
+}
+```
+
+`NextMethod()` replaces the explicit call to `mizerEncounter()`. It passes
+control down the chain — first to any lower extension's `projectEncounter`
+method, and ultimately to `projectEncounter.MizerParams`, which performs the
+standard mizer calculation. Each extension in the chain adds its contribution
+on top of the one below it, in load order.
+
+Three rules:
+
+1. **Always call `NextMethod()`** — omitting it silently drops all contributions
+   from lower extensions in the chain.
+2. **Keep the same argument signature** as the generic, and include `...` so
+   extra arguments pass through.
+3. **Do not call `setRateFunction()`** in your constructor for any rate that
+   your package handles via a `project*` method. The two mechanisms are
+   separate and should not be mixed for the same rate within an extension
+   package.
+
+### How `setRateFunction()` and `project*` methods interact
+
+A user who calls `setRateFunction(params, "Encounter", "myFn")` is asking for
+their function to completely replace the encounter calculation for that specific
+`params` object. Mizer honours this: when `myFn` is set, `projectEncounter()`
+is not called at all for the Encounter rate, so no extension package's
+`projectEncounter` method will run for that rate either.
+
+This means that if a user applies `setRateFunction()` to a rate that your
+extension package modifies via `projectEncounter.mizerMyExtension`, your
+method will be silently bypassed for that object. It is worth documenting this
+limitation for your users.
+
+## Creating objects: the two commands
+
+A constructor function that returns a `mizerShelf` object must end with these
+two lines:
+
+```r
+params@extensions <- mizer::getRegisteredExtensions()
+params <- mizer::coerceToExtensionClass(params)
+```
+
+Here is how `newDetritusCarrionParams()` uses them in mizerShelf:
+
+```r
+newDetritusCarrionParams <- function(species_params, ...) {
+    params <- newMultispeciesParams(species_params, ...,
+                                    resource_dynamics = "detritus_dynamics")
+    # ... set up rate functions, components, colours ...
+
+    params@extensions <- mizer::getRegisteredExtensions()
+    params <- mizer::coerceToExtensionClass(params)
+}
+```
+
+### What `params@extensions <- getRegisteredExtensions()` does
+
+`getRegisteredExtensions()` returns the current session's extension chain —
+everything that has been registered via `.onLoad` hooks or with `registerExtension()nce R started.
+Storing this in the params object is like stamping the object with a bill of
+materials: it records exactly which extension packages were active when the
+object was created.
+
+Note that `@extensions` records the **full chain** that was active at creation
+time, not just the outermost extension. If `mizerShelf` was the only registered
+extension, `@extensions` will be `c(mizerShelf = "1.0.0")`. If a further outer
+extension was also loaded, both appear in the chain.
+
+When the object is later loaded from disk with `readParams()`, mizer reads
+`@extensions` to check that all the recorded extensions are installed in the
+current session and warns the user if any are missing or outdated.
+
+### What `coerceToExtensionClass(params)` does
+
+At this point `params` is still a plain `MizerParams` object as far as R is
+concerned. If you called `getBiomass(params)` now, R would call the standard
+mizer `getBiomass.MizerParams` rather than `getBiomass.mizerShelf`.
+
+`coerceToExtensionClass()` reads `params@extensions`, finds the outermost
+extension in the object's own recorded chain that provides a dispatch class,
+and promotes the object to that S4 class. In our example, `params` becomes
+`c("mizerShelf", "MizerParams")` and R will dispatch to
+`getBiomass.mizerShelf` automatically. `readParams()` calls this automatically
+when restoring an object from disk.
+
+Note that coercion is driven by the object's recorded chain, not by what
+extensions happen to be loaded in the current session. An object created with
+only `mizerShelf` registered will remain a `mizerShelf` object even if
+`mizerOuter` is also loaded.
+
+This step cannot be replaced with a simple `class(params) <- "mizerShelf"`:
+because `MizerParams` is a formal S4 class, R enforces the class hierarchy
+strictly and the direct assignment would fail. `coerceToExtensionClass()` uses
+the appropriate S4 machinery internally.
+
+## What about `MizerSim` objects?
+
+You do not need to call `coerceToExtensionClass()` yourself for `MizerSim`
+objects. When `project()` creates its output it calls `MizerSim()`, which
+in turn calls `coerceToExtensionClass()` on the new sim object. Because the
+`params` slot inside the sim already has `@extensions` set, mizer knows to
+promote the sim to `mizerShelfSim` automatically.
+
+This means that after:
+
+```r
+sim <- project(NWMed_params, t_max = 3)
+```
+
+`sim` is already of class `mizerShelfSim`, and any method you have defined
+for that class — such as `getBiomass.mizerShelfSim` — will be dispatched
+automatically.
+
+# Checklist for package authors
+
+When building a dispatching extension package, verify the following:
+
+- [ ] Define both `setClass("<myExtension>", contains = "MizerParams")` and
+  `setClass("<myExtension>Sim", contains = "MizerSim")` with no new slots.
+- [ ] Call `mizer::registerExtension(pkgname, requirement = ...)` in
+  `.onLoad`.
+- [ ] End every constructor with `params@extensions <- getRegisteredExtensions()`
+  and `coerceToExtensionClass(params)`.
+- [ ] Register every S3 method in `NAMESPACE` (via `@method` + `@export`).
+- [ ] Call `NextMethod()` in every method override.
+- [ ] For each rate the package modifies during projection, define a
+  `project*` method (e.g. `projectEncounter.mizerMyExtension`) rather than
+  calling `setRateFunction()`. See [Replacing `setRateFunction()` with method dispatch].
+- [ ] Store all extension-specific state in `other_params(params)` or in
+  new components created with `setComponent()`, never in new S4 slots.
+
+For metadata-only packages, only the second and third items apply (and
+`coerceToExtensionClass()` is not needed — just record
+`params@extensions <- getRegisteredExtensions()`).
+
+# See also
+
+- [mizerExtensionTemplate](https://github.com/sizespectrum/mizerExtensionTemplate)
+  — a template package that puts all the mechanisms described here into a
+  minimal, working package you can clone and adapt.
+- `vignette("extending-mizer", package = "mizer")` for the full menu of
+  extension mechanisms (custom rate functions, components, subclassing, and
+  more).
+- `vignette("using-extension-packages", package = "mizer")` which explains the
+  extension chaining from the package user's perspective, and how to check or
+  change which extensions are active in a session or in a model object.
+- `?registerExtension`
+- `?getRegisteredExtensions`
+- `?coerceToExtensionClass`
diff --git a/vignettes/extensions.Rmd b/vignettes/extending-mizer.Rmd
similarity index 83%
rename from vignettes/extensions.Rmd
rename to vignettes/extending-mizer.Rmd
index 30b0bd071..6ba6a5221 100644
--- a/vignettes/extensions.Rmd
+++ b/vignettes/extending-mizer.Rmd
@@ -136,21 +136,21 @@ See [Worked example: adding a detritus-like component](#worked-example-adding-a-
 
 This is the most flexible extension route that still works with mizer's public
 generic functions. Although `MizerParams` and `MizerSim` are S4 classes, mizer
-registers many user-facing methods as S3 methods. That means advanced users can
-define a formal S4 subclass of these objects and then provide S3 methods for
-that subclass such as:
+registers many user-facing methods as S3 methods. That means extension package
+authors can define a formal S4 subclass of these objects and then provide S3
+methods for that subclass such as:
 
 - `plotBiomass.MyMizerSim()`,
 - `summary.MyMizerParams()`,
 - `getBiomass.MyMizerSim()`.
 
 This is especially useful if you have added extra components or metadata and
-want mizer's summaries or plots to include them.
+want mizer's summaries or plots to include them. Because multiple extension
+packages may all want to modify the same function, each method should call
+`NextMethod()` so that the contributions compose correctly.
 
-Because this route combines formal S4 inheritance with S3 dispatch, it is best
-treated as an advanced package-author technique rather than a quick
-script-level hack.
-See [Worked example: S4 subclassing with a custom `plotBiomass()` method](#worked-example-s4-subclassing-with-a-custom-plotbiomass-method).
+See `vignette("creating-extension-packages", package = "mizer")` for a
+step-by-step guide.
 
 ## `customFunction()`
 
@@ -315,78 +315,20 @@ plotDiet(params3, species = "Cod")
 If you also want the component to contribute to mortality, add a `mort_fun`
 when calling `setComponent()`.
 
-# Worked example: S4 subclassing with a custom `plotBiomass()` method
+# S4 subclassing with S3 method dispatch
 
-For some extensions, the main need is not to change the core dynamics but to
-change how a model object is analysed or displayed. Because mizer uses S3
-generics for many user-facing methods, you can define a formal S4 subclass and
-then write an S3 method for that subclass.
+When an extension needs to change how generic mizer functions behave — for
+example making `getBiomass()` include extra components, or making `plotBiomass()`
+show additional panels — the right approach is to define a marker S4 subclass
+and register S3 methods for that class. This makes multiple extension packages
+composable: each package adds its own step and passes control to the next via
+`NextMethod()`.
 
-To keep this example simple, we define subclasses without adding any new slots.
-The main purpose is just to distinguish your model type from plain
-`MizerParams` and `MizerSim` objects. For our example we will build on the
-previous example with its extra detritus component. You will define new
-subclasses of the `MizerParams` and `MizerSim` classes:
-
-```{r subclass-example}
-setClass("DetritusMizerParams", contains = "MizerParams")
-setClass("DetritusMizerSim", contains = "MizerSim")
-
-newDetritusMizerParams <- function(params) {
-    new("DetritusMizerParams", params)
-}
-
-newDetritusMizerSim <- function(sim) {
-    new("DetritusMizerSim", sim)
-}
-```
-
-Note that you needed to define a formal S4 subclass with `setClass()` rather than
-changing the `class()` attribute by hand.
-
-You now can create objects of your subclasses in the usual way:
-
-```{r subclass-create}
-my_params <- newDetritusMizerParams(params3)
-my_sim <- newDetritusMizerSim(project(my_params, t_max = 2, t_save = 0.1))
-```
-
-You can then define an S3 method for one of mizer's S3 generics. For example,
-we can define a `getBiomass.DetritusMizerSim()` method then it will be dispatched
-instead of the default `getBiomass` method for objects of
-class `DetritusMizerSim`.
-
-```{r subclass-methods}
-getBiomass.DetritusMizerSim <- function(sim, ...) {
-    b <- NextMethod()
-    detritus_biomass <- vapply(
-        sim@n_other[, "Detritus"],
-        function(x) sum(x * sim@params@dw_full * sim@params@w_full),
-        numeric(1)
-    )
-    b <- cbind(unclass(b), Detritus = detritus_biomass)
-    ArraySpeciesByTime(b,
-        value_name = "Biomass", units = "g",
-        params = sim@params
-    )
-}
-```
-
-After that, `getBiomass(my_sim)` will dispatch to `getBiomass.DetritusMizerSim()`:
-
-```{r subclass-use}
-getBiomass(my_sim)
-```
-
-Note that this now also includes the detritus biomass. This works also for any mizer method that calls `getBiomass()` 
-internally, such as
-
-```{r subclass-plot}
-plotBiomass(my_sim)
-```
-
-This approach makes it possible to extend generic mizer workflows without
-rewriting the underlying package methods. 
+For a step-by-step guide to writing this kind of extension package, including
+worked examples from
+[mizerStarvation](https://github.com/sizespectrum/mizerStarvation) and
+[mizerShelf](https://github.com/sizespectrum/mizerShelf), see
+`vignette("creating-extension-packages", package = "mizer")`.
 
 
 # How custom rate functions are called
@@ -525,9 +467,6 @@ committing to an interface.
 
 # See also
 
-- `vignette("developer_vignette")` for a broader guide to working with the
-  mizer code base,
-- `?setRateFunction`,
-- `?setComponent`,
-- `?customFunction`,
-- `?getRates`.
+- [Using mizer extension packages](using-extension-packages.html)
+- [Creating a mizer extension package](creating-extension-packages.html)
+
diff --git a/vignettes/using-extension-packages.Rmd b/vignettes/using-extension-packages.Rmd
new file mode 100644
index 000000000..be86ff8cd
--- /dev/null
+++ b/vignettes/using-extension-packages.Rmd
@@ -0,0 +1,316 @@
+---
+title: "Using mizer extension packages"
+output:
+  html_document:
+    toc: yes
+    fig_width: 5
+    fig_height: 5
+vignette: >
+  %\VignetteIndexEntry{Using mizer extension packages}
+  %\VignetteEngine{knitr::rmarkdown}
+  %\VignetteEncoding{UTF-8}
+---
+
+```{r setup, include = FALSE}
+knitr::opts_chunk$set(
+  collapse = TRUE,
+  comment = "#>"
+)
+library(mizer)
+```
+
+# Overview
+
+This vignette explains what happens when you load one or more mizer extension
+packages, why the order in which you load them can matter, and how to save and
+share models that use extensions.
+
+Here are some available extension packages:
+
+- **[mizerExperimental](https://github.com/sizespectrum/mizerExperimental)** —
+  A community-driven collection of experimental features being refined before
+  potential inclusion in the core mizer package.
+- **[mizerShiny](https://github.com/gustavdelius/mizerShiny)** — Provides a
+  web-based Shiny interface for running and exploring mizer models without
+  writing R code.
+- **[therMizer](https://github.com/sizespectrum/therMizer)** — Incorporates
+  temperature-dependent metabolic rates and aerobic scope into mizer, with
+  support for size- and depth-varying thermal exposure.
+- **[mizerEcopath](https://github.com/gustavdelius/mizerEcopath)** — Provides
+  tools for calibrating mizer models using Ecopath biomass estimates, bridging
+  the two modelling frameworks.
+- **[mizerStarvation](https://github.com/sizespectrum/mizerStarvation)** —
+  Implements starvation mortality, allowing fish to die when food availability
+  is insufficient to sustain their metabolic needs.
+- **[mizerMR](https://github.com/sizespectrum/mizerMR)** — Supports multiple
+  size-structured background resource spectra, enabling species to have
+  different prey preferences and ontogenetic dietary shifts.
+- **[mizerShelf](https://github.com/sizespectrum/mizerShelf)** — Adds detritus
+  and carrion components for more realistic benthic ecosystem modelling on
+  continental shelves.
+- **[MizerEvolution](https://github.com/baldrech/MizerEvolution)** — Enables
+  simulation of evolutionary trait changes and species invasions by treating
+  species as pools of phenotypes subject to natural selection.
+- **[mizerSeasonal](https://github.com/gustavdelius/mizerSeasonal)** —
+  Introduces seasonal dynamics by simulating gonadal mass accumulation and
+  spawning events over the course of a year.
+- **[mizerStomach](https://github.com/gustavdelius/mizerStomach)** — Helps
+  determine predator size-selectivity functions by fitting them to stomach
+  content data.
+
+Extension packages such as these add new biology to mizer — extra mortality
+terms, additional components such as detritus and carrion, overridden plotting
+functions, and so on. You do not need to know how those packages are built to
+use them, but you do need to understand a few things about how mizer keeps track
+of them.
+
+# The extension chain
+
+Every mizer extension package announces itself to mizer when it is loaded.
+Internally, mizer maintains a list of all the currently loaded extensions, in
+the order they registered themselves. This list is called the **extension
+chain**.
+
+To see the current extension chain, call:
+
+```r
+getRegisteredExtensions()
+```
+
+The result is a named character vector. The **names** are the extension
+identifiers (which double as S4 class names). The **values** are installation
+specifications — a version string such as `"1.2.0"` for packages on CRAN, or a
+GitHub path such as `"sizespectrum/mizerShelf"` for packages that are only on
+GitHub. The first element in the vector is the *outermost* extension (the one
+with the highest dispatch priority), and the last element is the innermost.
+
+If no extension packages are loaded, `getRegisteredExtensions()` returns an
+empty, unnamed character vector.
+
+# Why loading order matters
+
+When two extension packages both override the same mizer function — say,
+`getBiomass()` — R has to decide which version to call first. It does this by
+looking at the class of the `params` object and working through the class
+hierarchy from outermost to innermost. The outermost extension gets the first
+say, and each extension can choose to modify the result of the extensions below
+it.
+
+This means that **the order in which you call `library()`** determines which
+extension is outermost. Whichever package is loaded *last* ends up at the front
+of the chain.
+
+For example, suppose `mizerShelf` adds detritus biomass to `getBiomass()`, and
+`mizerFoo` adds some other component. If you load them as:
+
+```r
+library(mizerShelf)
+library(mizerFoo)
+```
+
+then `mizerFoo` is outermost. When `getBiomass()` is called, `mizerFoo`'s
+version runs first, calls the next version in the chain (mizerShelf's), which
+calls the base mizer version. The final result has both mizerShelf's and
+mizerFoo's additions.
+
+If instead you load them in the opposite order:
+
+```r
+library(mizerFoo)
+library(mizerShelf)
+```
+
+then `mizerShelf` is outermost. The result is still composed of both
+contributions, but `mizerShelf` sees the result first and can wrap around
+everything `mizerFoo` does.
+
+In most cases both orderings give the same answer, because the extensions touch
+different parts of the calculation. But if they interact — for example if one
+extension's additions depend on what another extension computed — the order can
+matter. Check the documentation of each extension package to see whether it
+specifies a required load order relative to other packages.
+
+# Working with the extension chain
+
+## Checking the chain
+
+```r
+getRegisteredExtensions()
+```
+
+Call this any time you want to confirm which extensions are active and in what
+order. The output is in dispatch order: the first element is called first.
+
+## Restarting with a clean chain
+
+If you want to start fresh — for instance, because you loaded packages in the
+wrong order — you can clear the session's extension registry:
+
+```r
+clearExtensionChain()
+```
+
+After this call, `getRegisteredExtensions()` returns an empty vector. You can
+then load your extension packages again (or call `registerExtensions()` directly,
+see below) to rebuild the chain in the order you want.
+
+Note that clearing the chain does not unload the packages themselves; it only
+removes their entries from mizer's internal registry. You will need to reload or
+re-register the extensions before creating or using params objects that depend on
+them.
+
+## Setting the chain manually
+
+If you want full control over the chain — for example to reproduce an exact chain
+that was recorded in a collaborator's params object — you can set it directly
+with `registerExtensions()`:
+
+```r
+chain <- c(mizerFoo = "owner/mizerFoo", mizerShelf = "sizespectrum/mizerShelf")
+registerExtensions(chain)
+```
+
+The names must match the extension identifiers that each package uses when it
+registers itself (normally the package name). The values are installation
+specifications used when a missing package needs to be installed automatically.
+
+This is mostly needed in advanced scenarios. In normal use you simply call
+`library()` for each extension you need, and the chain builds itself.
+
+# Params objects and the extension chain
+
+## What gets recorded in a params object
+
+When an extension package creates a new `MizerParams` object (for example, when
+you call `mizerShelf::newDetritusCarrionParams()`), it stamps the object with the
+full extension chain that was active at that moment. This snapshot is stored in
+the `@extensions` slot of the params object.
+
+You can inspect it:
+
+```r
+params@extensions
+```
+
+This record serves two purposes:
+
+1. **Reproducibility.** It tells anyone who opens the object later exactly which
+   extension packages — and which versions — were used to build the model.
+2. **Class restoration.** When the object is saved and reloaded, mizer uses this
+   record to promote the object back to the correct S4 class automatically, so
+   that functions like `getBiomass()` continue to dispatch to the right extension
+   methods.
+
+## Saving and loading params objects
+
+Use `saveParams()` and `readParams()`:
+
+```r
+saveParams(params, "my_model.rds")
+params <- readParams("my_model.rds")
+```
+
+`saveParams()` stores the object on disk. Before saving, it warns you if the
+model relies on custom functions defined only in your R session (for example,
+functions defined in a local script). Those functions will not be saved inside
+the file — you will need to share your script alongside the `.rds` file.
+
+`readParams()` restores the object. It automatically:
+
+1. Reads `params@extensions` from the saved object.
+2. Calls `registerExtensions()` to make the session aware of the saved chain.
+3. Promotes the object to the correct S4 class so that dispatch works.
+
+As long as the required extension packages are already installed in your R
+library, this is seamless.
+
+## Saving and loading simulation objects
+
+`MizerSim` objects (produced for example by `project()`) carry the params object inside
+them, so the extension chain is embedded there too. Use `saveSim()` and
+`readSim()`:
+
+```r
+sim <- project(params, t_max = 10)
+saveSim(sim, "my_simulation.rds")
+sim <- readSim("my_simulation.rds")
+```
+
+`readSim()` performs the same automatic extension registration and class
+coercion as `readParams()`.
+
+# Sharing models with collaborators
+
+When you send a saved `.rds` file to a collaborator, they need the same
+extension packages installed to work with it. `readParams()` and `readSim()`
+warn them if a required package is missing.
+
+If you want the load step to install missing packages automatically, pass
+`install_extensions = TRUE`:
+
+```r
+params <- readParams("my_model.rds", install_extensions = TRUE)
+```
+
+This uses the installation specifications stored in `params@extensions` to fetch
+the correct version of each package (from CRAN or GitHub as appropriate).
+
+# Common scenarios
+
+## You get a warning about missing extension packages
+
+```
+Error in readParams("my_model.rds") :
+  Some required extension packages are not installed: mizerShelf
+```
+
+Either install the package manually (`pak::pkg_install("sizespectrum/mizerShelf")`)
+or reload with:
+
+```r
+params <- readParams("my_model.rds", install_extensions = TRUE)
+```
+
+## You want to check what extensions a params object requires
+
+```r
+params@extensions
+```
+
+The names are the package names; the values tell you where to get each one.
+
+## You loaded packages in the wrong order
+
+Call `clearExtensionChain()`, then reload in the order you want. You do not need
+to restart R.
+
+```r
+clearExtensionChain()
+library(mizerShelf)   # innermost (loaded first)
+library(mizerFoo)     # outermost (loaded last)
+```
+
+After reloading, create or re-read your params objects so they pick up the new
+chain.
+
+## You are working with a script and want a reproducible chain
+
+Put your `library()` calls at the top of the script in a fixed order. Because
+each package registers itself in `.onLoad`, the chain is always rebuilt in the
+same order when you source the script fresh.
+
+# See also
+
+- `vignette("extending-mizer", package = "mizer")` — the full catalogue of
+  extension mechanisms available to extension authors (custom rate functions,
+  components, subclassing).
+- `vignette("creating-extension-packages", package = "mizer")` — how to package
+  your own extension and make it composable with others.
+- `?registerExtension`
+- `?registerExtensions`
+- `?getRegisteredExtensions`
+- `?clearExtensionChain`
+- `?saveParams`
+- `?readParams`
+- `?saveSim`
+- `?readSim`